3D model generation using multiple textures

Abstract

Methods and systems for generating 3D assets for use in, for example, extended reality (XR) experiences are disclosed. A system receives a plurality of textures associated with an object, each of the plurality of textures corresponding to a different view of the object, and automatically generates an initial three-dimensional (3D) model of the object based on an initial alignment of the plurality of textures to respective portions of the initial 3D model. The system receives input adjusting the initial alignment of the plurality of textures to the respective portions of the 3D model, and combines the plurality of textures into a single texture based on the input, the single texture defining visual properties of the object from the plurality of views. The system stores the 3D model in association with the single texture.

Description

[0001] Priority Statement

[0002] This application claims the benefit of priority to U.S. Patent Application Serial No. 18 / 527,832, filed December 4, 2023, which is incorporated herein by reference in its entirety. Technical Field

[0003] This disclosure generally relates to generating images depicting paired fashion items. Background Technology

[0004] Augmented reality (AR) is a modification of a virtual environment. For example, in virtual reality (VR), the user is fully immersed in a virtual world, while in AR, the user is immersed in a world where virtual objects are combined or overlaid on top of each other in the real world. AR systems are designed to generate and present virtual objects that realistically interact with the real-world environment and with each other. Examples of AR applications can include single-player or multiplayer video games, instant messaging systems, and so on. These systems are often referred to as extended reality (XR) systems. Attached Figure Description

[0005] In accompanying drawings that are not necessarily drawn to scale, the same numbers may describe similar parts in different views. For ease of identification of any particular element or behavior being discussed, one or more highest-order digits in the reference numerals indicate the drawing number in which the element was first introduced. Some non-limiting examples are shown in the accompanying drawings:

[0006] Figure 1 It is a diagrammatic representation of a networked environment in which the content of this disclosure can be deployed, based on some examples.

[0007] Figure 2 It is a graphical representation of a messaging system with both client-side and server-side functionalities, based on some examples.

[0008] Figure 3 It is a graphical representation of the data structures maintained in the database based on some examples.

[0009] Figure 4 It is a graphical representation based on some example messages.

[0010] Figure 5 and Figure 6 It is a graphical representation of example inputs and outputs of a system that generates systems based on some example 3D models.

[0011] Figure 7 This is a flowchart illustrating example operations and methods of a system for generating 3D models based on some examples.

[0012] Figure 8It is a graphical representation of a machine in the form of a computer system based on some examples, within which a set of instructions can be executed to cause the machine to perform any or more of the methods discussed herein.

[0013] Figure 9 It is a block diagram illustrating an example of a software architecture that can be implemented therein.

[0014] Figure 10 The system shown is a model of a head-mounted device. Detailed Implementation

[0015] The following description includes systems, methods, techniques, instruction sequences, and computer program products that embody illustrative examples of the present disclosure. In this description, numerous specific details are set forth for illustrative purposes in order to provide an understanding of various examples. However, it will be apparent to those skilled in the art that the examples can be practiced without these specific details. In general, well-known examples of instructions, protocols, structures, and techniques are not necessarily shown in detail.

[0016] Typically, various communication platforms allow users to share content and create images to transmit to other users. These images can be used to promote products or services and / or simply represent different real-world objects in simulated or real-world environments. However, these systems require users to use expensive equipment and technology to create high-quality, engaging images. Furthermore, users may spend considerable effort carefully placing objects in different environments and manually adjusting lighting and other image properties to enhance their presentation in the image. All these factors combined can make creating high-quality images (for example, for advertising) a significant expense and diminish the overall usability and enjoyment of the system. Moreover, users may miss opportunities to share and present objects with ideal settings because they may lack the resources needed to create high-quality images. Additionally, presenting lower-quality images of such objects may cause other users to overlook the object's value, thus wasting resources spent on creating and displaying the object.

[0017] Alignment of multiple view textures on a 3D item refers to the process of combining and synchronizing different visual perspectives or textures on a 3D object. The disclosed technique utilizes both automated algorithms and manual intervention to synchronize multiple view textures on a 3D item. Capturing textures from various angles ensures that the 3D model of the 3D item appears realistic, detailed, and accurate. Seamlessly merging these multiple textures onto a single 3D entity can be challenging, especially in ensuring there are no visual discrepancies or misalignments. The disclosed semi-automatic method overcomes this limitation, providing tools to facilitate automatic alignment of these textures while also granting the user the flexibility to make manual adjustments as needed. This combination of machine efficiency and human precision ensures that the final 3D model is visually consistent and realistic with its real-world counterpart.

[0018] Specifically, the disclosed technology seeks to improve the efficiency of using electronic devices by intelligently and automatically generating images depicting three-dimensional (3D) objects in a simple and intuitive manner. The disclosed technology creates realistic images or videos depicting 3D objects representing fashion items (clothing) in real-world or simulated scenes very quickly and efficiently with minimal user interaction or intervention. This can reduce the overall time and cost of developing high-quality images of objects or products such as shoes, shirts, or other fashion items.

[0019] For example, the disclosed technique receives multiple textures associated with an object and automatically generates a 3D model based on the initial alignment of the multiple textures to corresponding portions of an initial 3D model of the object, each of the multiple textures corresponding to a different view of the object. The disclosed technique receives input adjusting the initial alignment of the multiple textures to corresponding portions of the 3D model and combines the multiple textures into a single texture based on the input, the single texture defining the visual attributes of the object from the multiple views. The disclosed technique stores the 3D model associated with a single texture.

[0020] In this way, the disclosed technology improves the overall user experience when using electronic devices and reduces the total number of resources required to accomplish the task of producing high-quality images and realistic XR experiences. As used herein, the terms “clothing,” “fashion item,” and “outfit” are used interchangeably and should be understood to have the same meaning. Clothing, outfits, or fashion items can include shirts, skirts, dresses, shoes, wallets, furniture items, home furnishings, goggles, glasses, AR logos, AR badges, trousers, shorts, jackets, T-shirts, women's blouses, lenses, jewelry, earrings, bunny ears, hats, earmuffs, cosmetics, or any other suitable item or object.

[0021] Networked computing environment

[0022] Figure 1This is a block diagram illustrating an example interactive system 100 for facilitating interactions over a network, such as exchanging text messages, making text-to-audio and video calls, or playing games. Interactive system 100 includes multiple user systems 102, each hosting multiple applications, including interactive client 104 and other applications 106. Each interactive client 104 is communicatively coupled to (e.g., hosted on corresponding other user systems 102) other instances of interactive client 104, interactive server system 110, and third-party server 112 via one or more communication networks including network 108 (e.g., the Internet). Interactive client 104 may also communicate with locally hosted applications 106 using an application programming interface (API).

[0023] Each user system 102 may include multiple user devices, such as mobile devices 114, head-mounted devices 116, and computer client devices 118, which are communicatively connected to exchange data and messages.

[0024] Interactive client 104 interacts with other interactive clients 104 and with interactive server system 110 via network 108. The data exchanged between interactive clients 104 (e.g., interactive 120) and between interactive client 104 and interactive server system 110 includes functions (e.g., commands to invoke functions) and payload data (e.g., text, audio, video or other multimedia data).

[0025] Interactive server system 110 provides server-side functionality to interactive client 104 via network 108. While some functions of interactive system 100 are described herein as being performed by interactive client 104 or interactive server system 110, whether a function resides within interactive client 104 or interactive server system 110 can be a design choice. For example, it is technically preferred that specific technologies and functions are initially deployed within interactive server system 110, but that technology and functions are later migrated to interactive client 104 of user system 102, which has sufficient processing power.

[0026] The interactive server system 110 supports various services and operations provided to the interactive client 104. Such operations include sending data to and receiving data from the interactive client 104, and processing data generated by the interactive client 104. This data may include message content, client device information, geolocation information, media enhancements and overlays, message content persistence conditions, entity relationship information, and live event information. Data exchange within the interactive system 100 is initiated and controlled via functions available through the user interface (UI) of the interactive client 104.

[0027] Specifically, the focus now shifts to interactive server system 110. API server 122 is coupled to interactive server 124 and provides a programming interface to interactive server 124, enabling interactive client 104, other applications 106, and third-party server 112 to access the functionality of interactive server 124. Interactive server 124 is communicatively coupled to database server 126, thereby facilitating access to database 128, which stores data associated with the interactions processed by interactive server 124. Similarly, web server 130 is coupled to interactive server 124 and provides a web-based interface to interactive server 124. To this end, web server 130 handles incoming network requests via Hypertext Transfer Protocol (HTTP) and several other related protocols.

[0028] API server 122 receives and sends interactive data (e.g., command and message payloads) between interactive server 124 and user system 102 (as well as, for example, interactive client 104 and other applications 106) and third-party server 112. Specifically, API server 122 provides a set of interfaces (e.g., routines and protocols) that interactive client 104 and other applications 106 can call or query to invoke the functionality of interactive server 124. API server 122 discloses various functions supported by interaction server 124, including: account registration; login functionality; sending interactive data via interaction server 124 from one interactive client 104 to another interactive client 104; transmission of media files (e.g., images or videos) from interactive client 104 to interaction server 124; setting up collections of media data (e.g., stories); retrieval of the friend list of users in user system 102; retrieval of messages and content; adding and deleting entities (e.g., friends) in entity relationship graphs (e.g., entity graph 310); locating friends within entity relationship graphs; and opening application events (e.g., related to interactive client 104).

[0029] Interactive server 124 hosts multiple systems and subsystems, as detailed below. Figure 2 Describe it.

[0030] Application of links

[0031] Returning to the interactive client 104, the features and functionalities of external resources (e.g., linked application 106 or mini-program) are available to the user through the interface of the interactive client 104. In this context, "external" refers to the fact that the application 106 or mini-program is outside the interactive client 104. External resources are typically provided by third parties, but can also be provided by the creator or provider of the interactive client 104. The interactive client 104 receives the user's selection of options to launch or access the features of such external resources. External resources can be application 106 installed on the user's system 102 (e.g., a "native app"), or a smaller version (e.g., a "mini-program") of an application hosted on the user's system 102 or remotely on the user's system 102 (e.g., on a third-party server 112). The smaller version of an application includes a subset of the features and functionalities of the application (e.g., the full native version of the application) and is implemented using markup language documentation. In some examples, the smaller version of an application (e.g., a "mini-program") is a web-based markup language version of the application and is embedded in the interactive client 104. In addition to using markup language documentation (e.g., ... In addition to files, mini-programs can also incorporate scripting languages ​​(such as...). Documents or Documents) and style sheets (e.g.) document).

[0032] In response to receiving a user's selection of an option to launch or access an external resource, the interactive client 104 determines whether the selected external resource is a web-based external resource or a locally installed application 106. In some cases, the locally installed application 106 on the user's system 102 can be launched independently of and separately from the interactive client 104, for example, by selecting the icon corresponding to application 106 on the user's system 102's home screen. A smaller version of such an application can be launched or accessed through the interactive client 104, and in some examples, no part of the smaller application can be accessed outside the interactive client 104, or only a limited portion of the smaller application can be accessed outside the interactive client 104. The smaller application can be launched by the interactive client 104 receiving, for example, a markup language document associated with the smaller application from a third-party server 112 and processing such a document.

[0033] In response to determining that the external resource is a locally installed application 106, the interactive client 104 instructs the user system 102 to launch the external resource by executing locally stored code corresponding to the external resource. In response to determining that the external resource is a web-based resource, the interactive client 104 communicates with a third-party server 112 (e.g.) to obtain a markup language document corresponding to the selected external resource. The interactive client 104 then processes the obtained markup language document to render the web-based external resource within the user interface of the interactive client 104.

[0034] Interactive client 104 can notify users of user system 102 or other users (e.g., "friends") associated with such users of one or more external resources. For example, interactive client 104 can provide participants in a conversation (e.g., a chat session) within interactive client 104 with notifications related to the current or recent use of external resources by one or more members of a group of users. One or more users can be invited to join an active external resource or to activate (in a group of friends) a recently used but currently inactive external resource. External resources can provide participants in the conversation, each using the corresponding interactive client 104, with the ability to share items, conditions, states, or locations within the external resource with one or more members of a group of users during a chat session. Shared items can be interactive chat cards, which chat members can use to interact, for example, activate the corresponding external resource, view specific information within the external resource, or take chat members to a specific location or state within the external resource. Within a given external resource, response messages can be sent to users on interactive client 104. External resources can selectively include different media items in the response based on the current context of the external resource.

[0035] Interactive client 104 can present a list of available external resources (e.g., application 106 or mini-program) to the user to launch or access a given external resource. This list can be presented in a context-sensitive menu. For example, icons representing different applications (or mini-programs) within application 106 (or mini-program) can change depending on how the user launches the menu (e.g., from a conversational interface or a non-conversational interface).

[0036] System Architecture

[0037] Figure 2This is a block diagram illustrating further details of an interactive system 100 according to some examples. Specifically, the interactive system 100 is shown as including an interactive client 104 and an interactive server 124. The interactive system 100 includes multiple subsystems supported on the client side by the interactive client 104 and on the server side by the interactive server 124. Example subsystems are discussed below, which may include a 3D model generation system that generates a 3D model of an object (e.g., a fashion item) in a semi-automatic manner by combining multiple textures representing different views of the object.

[0038] In some examples, these subsystems are implemented as microservices. A microservice subsystem (e.g., a microservice application) can have components that enable it to operate independently and communicate with other services. Example components of a microservice subsystem may include:

[0039] Functional logic: Functional logic implements the functions of the microservice subsystem and represents the specific capabilities or functions provided by the microservice.

[0040] API Interface: Microservices can communicate with each other using lightweight protocols such as REST or messaging through well-defined APIs or interfaces. An API interface defines the inputs and outputs of a microservice subsystem and how it interacts with other microservice subsystems within the interactive system 100.

[0041] Data storage: A microservice subsystem can be responsible for its own data storage, which can take the form of a database, cache, or other storage mechanisms (e.g., using...). Figure 1 (Database server 126 and database 128). This allows the microservice subsystem to operate independently of other microservices in the interactive system 100.

[0042] Service discovery: Microservice subsystems can find and communicate with other microservice subsystems in the interactive system 100. The service discovery mechanism enables microservice subsystems to locate and communicate with other microservice subsystems in a scalable and efficient manner.

[0043] Monitoring and logging: Microservice subsystems may need to be monitored and logged to ensure availability and performance. Monitoring and logging mechanisms enable the tracking of the health and performance of microservice subsystems.

[0044] In some examples, the interactive system 100 may employ a monolithic architecture, a service-oriented architecture (SOA), a function-as-a-service (FaaS) architecture, or a modular architecture. Example subsystems are discussed below.

[0045] The image processing system 202 provides various functions that enable users to capture and enhance (e.g., annotate or otherwise modify or edit) media content associated with a message.

[0046] The camera device system 204 includes (e.g., in a camera device application) control software that (e.g., directly or via operating system controls) interacts with and controls the camera device hardware of the user system 102 to modify and enhance real-time images captured and displayed through the interactive client 104.

[0047] Enhancement system 206 provides functionality related to the generation and publication of enhancements (e.g., media overlays) of images captured in real time by the camera device of user system 102 or retrieved from the memory of user system 102. For example, enhancement system 206 can operatively select, present, and display media overlays (e.g., image filters or image lenses) to interactive client 104 to enhance real-time images received by camera device system 204 or retrieved from memory 1002 of user system 102 (such as...). Figure 10 (As shown) retrieved stored images. These enhancements are selected and presented to the user of the interactive client 104 by the enhancement system 206 based on multiple inputs and data, such as:

[0048] The geographical location of user system 102; and

[0049] User entity relationship information of users in user system 102.

[0050] Enhancements may include audio and visual content and visual effects. Examples of audio and video content include images, text, logos, animations, and sound effects. Examples of visual effects include color overlays. Audio and video content or visual effects may be applied to media content items (e.g., photos or videos) at user system 102 to be transmitted in messages or applied to video content, such as a video content stream or feed transmitted from interactive client 104. Therefore, image processing system 202 can interact with and support various subsystems of communication system 208, such as messaging system 210 and video communication system 212.

[0051] Media overlays may include text or image data that can be superimposed on photographs taken by user system 102 or video streams generated by user system 102. In some examples, media overlays may be location overlays (e.g., Venice Beach), names of live events, or names of businesses (e.g., beach cafes). In other examples, image processing system 202 uses the geographic location of user system 102 to identify the media overlay, which includes the name of a business at the geographic location of user system 102. Media overlays may include other tags associated with businesses. Media overlays may be stored in database 128 and accessed through database server 126.

[0052] Image processing system 202 provides a user-based publishing platform that allows users to select geographic locations on a map and upload content associated with those locations. Users can also specify which media overlays should be provided to other users. Image processing system 202 generates a media overlay that includes the uploaded content and associates it with the selected geographic location.

[0053] The Enhanced Creation System 214 supports AR developer platforms and includes applications that enhance (e.g., AR experiences) the creation and publishing of interactive clients 104 for content creators (such as artists and developers). The Enhanced Creation System 214 provides content creators with a library of built-in features and tools, including, for example, custom shaders, tracking technologies, and templates.

[0054] In some examples, the enhancement creation system 214 provides a merchant-based publishing platform that allows merchants to select specific enhancements associated with a geographic location through a bidding process. For example, the enhancement creation system 214 associates the media overlay of the highest-bidder merchant with the corresponding geographic location for a predefined amount of time.

[0055] Communication system 208 is responsible for enabling and processing various forms of communication and interaction within interactive system 100, and includes messaging system 210, audio communication system 216, and video communication system 212. Messaging system 210 is responsible for enabling interactive client 104 to access content temporarily or for a limited time. Messaging system 210 incorporates multiple timers (e.g., within a short-lived timer system) that selectively enable access (e.g., for presentation and display) of messages and associated content via interactive client 104 based on duration and display parameters associated with a message or set of messages (e.g., a story). Audio communication system 216 enables and supports audio communication (e.g., real-time audio chat) between multiple interactive clients 104. Similarly, video communication system 212 enables and supports video communication (e.g., real-time video chat) between multiple interactive clients 104.

[0056] The user management system 218 is operationally responsible for managing user data and profiles, and maintaining entity information about users and relationships between users in the interactive system 100 (e.g., stored in...). Figure 3 (In entity table 308, entity diagram 310, and profile data 302).

[0057] The collection management system 220 is operationally responsible for managing collections or sets of media (e.g., collections of text, image, video, and audio data). Collections of content (e.g., messages, including images, videos, text, and audio) can be organized into “event libraries” or “event stories.” Such collections can be made available for a specified time period (e.g., the duration of the event to which the content relates). For example, content related to a concert can be made available as a “story” for the duration of the concert. The collection management system 220 can also be responsible for publishing icons to the user interface of the interactive client 104, which provide notifications for specific collections. The collection management system 220 includes curation functionality that allows collection managers to manage and curate specific content collections. For example, the curation interface enables event organizers to curate collections of content related to a specific event (e.g., removing inappropriate content or redundant messages). Furthermore, the collection management system 220 employs machine vision (or image recognition technology) and content rules to automatically curate content collections. In some examples, users may be compensated for including user-generated content in the collection. In such a situation, the collection management system 220 operates to automatically pay such users for access to its content.

[0058] Map system 222 provides various geographic location (e.g., geolocation) functions and supports the presentation of map-based media content and messages by interactive client 104. For example, map system 222 enables the display (e.g., stored in profile data 302) of user icons or avatars on a map to indicate the current or past locations of the user's "friends" within the context of the map, as well as media content (e.g., a collection of messages including photos and videos) generated by such friends. For example, a message posted by a user from a specific geographic location to interactive system 100 can be displayed to the user's "friends" at that specific location within the context of the map on the map interface of interactive client 104. The user can also share his or her location and status information with other users of interactive system 100 through interactive client 104 (e.g., using an appropriate status avatar), where the location and status information is similarly displayed to the selected user within the context of the map interface of interactive client 104.

[0059] Game system 224 provides various game functions within the context of interactive client 104. Interactive client 104 provides a game interface that offers a list of available games that a user can initiate and play with other users of interactive system 100 within the context of interactive client 104. Interactive system 100 also enables specific users to invite other users to participate in specific games by sending invitations from interactive client 104. Interactive client 104 also supports the sending and receiving of audio, video, and text messages (e.g., chat) within the context of playing the game, provides leaderboards for the game, and offers in-game rewards (e.g., game currency and items).

[0060] External resource system 226 provides interactive client 104 with an interface to communicate with remote servers (e.g., third-party server 112) to launch or access external resources such as applications or applets. Each third-party server 112 hosts applications or smaller versions of applications (e.g., games, utilities, payment, or ride-sharing applications) based on markup languages ​​(e.g., HTML5). Interactive client 104 can launch web-based resources (e.g., applications) by accessing HTML5 files from the third-party server 112 associated with the web-based resource. The application hosted by third-party server 112 is programmed in JavaScript using a software development kit (SDK) provided by interactive server 124. The SDK includes APIs with functions that can be called or invoked by the web-based application. Interactive server 124 hosts a JavaScript library that provides access to a given external resource for specific user data of interactive client 104. HTML5 is an example of a technology used for programming games, but applications and resources programmed using other technologies can be used.

[0061] To integrate the SDK's functionality into the web-based resource, the SDK is downloaded by third-party server 112 from interaction server 124, or otherwise received by third-party server 112. Once downloaded or received, the SDK is included as part of the application code of the web-based external resource. The code of the web-based resource can then call or invoke certain functions of the SDK to integrate the features of interaction client 104 into the web-based resource.

[0062] The SDK stored on the interactive server system 110 effectively provides a bridge between external resources (e.g., application 106 or applet) and the interactive client 104. This gives users a seamless experience of communicating with other users on the interactive client 104 while retaining the look and feel of the interactive client 104. To bridge the communication between the external resources and the interactive client 104, the SDK facilitates communication between the third-party server 112 and the interactive client 104. A bridge script running on the user system 102 establishes two unidirectional communication channels between the external resources and the interactive client 104. Messages are sent asynchronously between the external resources and the interactive client 104 through these communication channels. Each SDK function is invoked as a message and a callback. Each SDK function is implemented by constructing a unique callback identifier and sending a message with that callback identifier.

[0063] By using the SDK, not all information from the interactive client 104 is shared with the third-party server 112. The SDK limits what information is shared based on the needs of the external resource. Each third-party server 112 provides the interactive server 124 with an HTML5 file corresponding to the web-based external resource. The interactive server 124 can add a visual representation (such as box art or other graphics) of the web-based external resource to the interactive client 104. Once the user selects the visual representation or instructs the interactive client 104 to access the features of the web-based external resource through the graphical user interface (GUI), the interactive client 104 obtains the HTML5 file and instantiates the resource to access the features of the web-based external resource.

[0064] Interactive client 104 presents a GUI (e.g., a login page or title screen) for an external resource. During, before, or after presenting the login page or title screen, interactive client 104 determines whether the initiated external resource has previously been authorized to access interactive client 104's user data. In response to determining that the initiated external resource has previously been authorized to access interactive client 104's user data, interactive client 104 presents another GUI for the external resource, including its functionality and characteristics. In response to determining that the initiated external resource has not previously been authorized to access interactive client 104's user data, after displaying the external resource's login page or title screen for a threshold time period (e.g., 3 seconds), interactive client 104 slides up a menu for authorizing the external resource to access user data (e.g., animating the menu to appear from the bottom of the screen to the middle or other part of the screen). The menu identifies the type of user data that the external resource will be authorized to use. In response to receiving a user's selection of the accept option, interactive client 104 adds the external resource to the list of authorized external resources and allows the external resource to access user data from interactive client 104. Interactive client 104 authorizes the external resource to access user data under the OAuth 2 framework.

[0065] Interactive client 104 controls the type of user data shared with external resources based on the type of authorized external resource. For example, access to a first type of user data (e.g., two-dimensional (2D) avatars of users with or without different avatar characteristics) is provided to external resources including complete applications (e.g., application 106). As another example, access to a second type of user data (e.g., payment information, 2D avatars of users, three-dimensional (3D) avatars of users, and avatars with various avatar characteristics) is provided to external resources including smaller versions of applications (e.g., web-based versions of applications). Avatar characteristics include different ways of customizing the appearance and feel of an avatar, such as different poses, facial features, clothing, etc.

[0066] The advertising system 228 is operationally designed to enable third parties to purchase advertisements for presentation to end users via interactive client 104, and also handles the delivery and presentation of these advertisements.

[0067] Artificial intelligence and machine learning system 230 provides various services to different subsystems within interaction system 100. For example, AI and machine learning system 230 operates in conjunction with image processing system 202 and camera device system 204 to analyze images and extract information such as objects, text, or faces. This information can then be used by image processing system 202 to enhance, filter, or manipulate the image. Enhancement system 206 can use AI and machine learning system 230 to generate enhanced content, XR experiences, and AR experiences, such as adding virtual objects or animations to real-world images and videos. Communication system 208 and messaging system 210 can use AI and machine learning system 230 to analyze communication patterns and provide insights into how users interact with each other, and provide intelligent message classification and tagging, such as classifying messages based on sentiment or topic.

[0068] The artificial intelligence and machine learning system 230 can also provide chatbot functionality for message interactions 120 between user systems 102 and between user systems 102 and the interactive server system 110. The artificial intelligence and machine learning system 230 can also work with the audio communication system 216 to provide speech recognition and natural language processing capabilities, allowing users to interact with the interactive system 100 using voice commands.

[0069] In some cases, the artificial intelligence and machine learning system 230 can implement one or more machine learning models that generate, for example, virtual objects (e.g., fashion items) or real-world 3D models depicted in one or more images, by combining multiple textures representing different views of an object, thereby performing a combination Figure 5 and Figure 6 The discussion focused on the operation.

[0070] Data Architecture

[0071] Figure 3 This shows, based on certain examples, what can be stored Figure 1 A schematic diagram of data structure 300 in database 304 of interactive server system 110. Although the contents of database 304 are shown as including multiple tables, it should be understood that data can be stored in other types of data structures (e.g., as an object-oriented database).

[0072] Database 304 includes message data stored in message table 306. For any given message, this message data includes at least message sender data, message receiver (or recipient) data, and a payload. See below for reference. Figure 4 Additional details describe information that can be included in a message and is contained within message data stored in message table 306.

[0073] Entity table 308 stores entity data and (e.g., by reference) links to entity diagram 310 and profile data 302. Entities for which records are maintained in entity table 308 can include individuals, company entities, organizations, objects, locations, events, etc. Regardless of entity type, any entity whose data is stored in the interactive server system 110 can be an identifiable entity. Each entity is provided with a unique identifier and an entity type identifier (not shown).

[0074] Entity Graph 310 stores information about the relationships and associations between entities. As an example only, such relationships can be social, professional (e.g., working in a common company or organization), interest-based, or activity-based. Some relationships between entities can be unidirectional, such as an individual user subscribing to digital content from a business or publishing user (e.g., a newspaper or other digital media channel or brand). Other relationships can be bidirectional, such as... Figure 1 The interactive system fosters "friendship" relationships between 100 individual users.

[0075] Certain licenses and relationships can be attached to each relationship, and also to each direction of the relationship. For example, a two-way relationship (e.g., a friendship between individual users) can include authorization for the publication of digital content items between individual users, but certain restrictions or filters can be imposed on the publication of such digital content items (e.g., based on content characteristics, location data, or time of day data). Similarly, a subscription relationship between an individual user and a business user can impose varying degrees of restrictions on the publication of digital content from the business user to the individual user, and can significantly restrict or prevent the publication of digital content from the individual user to the business user. As an example of an entity, a specific user can record certain restrictions in a record for that entity within entity table 308 (e.g., via privacy settings). Such privacy settings can be applied to all types of relationships in the context of interaction system 100, or selectively applied to certain types of relationships.

[0076] Profile data 302 stores various types of profile data about a specific entity. Profile data 302 can be selectively used and presented to other users of the interaction system 100 based on privacy settings specified by the specific entity. In the case that the entity is an individual, profile data 302 includes, for example, a username, phone number, address, settings (such as notification and privacy settings), and an avatar representation (or a set of such avatar representations) selected by the user. A specific user can then selectively include one or more of these avatar representations within the content of messages transmitted via the interaction system 100 and by [other entities]. Figure 1The interactive client 104 displays a map interface to other users. The set of avatar representations can include "state avatars," which present a graphical representation of a state or activity that the user can choose to transmit at a specific time.

[0077] In the case that the entity is a group, in addition to the group name, members and various settings of the associated group (such as notifications), the group profile data 302 may similarly include one or more avatar representations associated with the group.

[0078] Database 304 also stores enhancement data, such as overlays or filters, in enhancement table 312. Enhancement data is associated with and applied to videos (data for which is stored in video table 314) and images (data for which is stored in image table 316).

[0079] In some examples, filters are overlays displayed as superimposed on images or videos during presentation to the recipient user. Filters can be of various types, including filters selected by the user from a set of filters presented to the sending user by the interactive client 104 when the sending user composes a message. Other types of filters include geolocation filters (also known as geographic filters), which can be presented to the sending user based on geographic location. For example, the interactive client 104 may present geolocation filters specific to nearby or particular locations within the user interface based on geographic location information determined by the Global Positioning System (GPS) unit of the user system 102.

[0080] Another type of filter is a data filter, which can be selectively presented to the sending user by the interactive client 104 based on other inputs or information collected by the user system 102 during the message creation process. Examples of data filters include the current temperature at a specific location, the sending user's current travel speed, the battery life of the user system 102, or the current time.

[0081] Other augmented data that can be stored within image table 316 includes, for example, AR content items corresponding to the application “Lens” or AR experience. AR content items can be real-time effects and sounds that can be added to images or videos.

[0082] Collection table 318 stores data related to collections of messages and associated image, video, or audio data, compiled into collections (e.g., stories or galleries). The creation of a specific collection can be initiated by a specific user (e.g., each user for whom records are maintained in entity table 308). A user can create a "personal story" in the form of a collection of content that has already been created and sent / broadcast by that user. For this purpose, the user interface of interactive client 104 may include user-selectable icons to allow the sending user to add specific content to his or her personal story.

[0083] Collections can also constitute "live stories," which are collections of content from multiple users created manually, automatically, or using a combination of manual and automatic technologies. For example, a "live story" can constitute a curated stream of user-submitted content from different locations and events. For instance, users with location services enabled on their client devices and who are at a common location event at a specific time can be presented with the option to contribute content to a specific live story via the user interface of interactive client 104. Users can be identified by interactive client 104 based on their location. The end result is a "live story" told from a community perspective.

[0084] Another type of content collection is called a "location story," which allows users of user system 102 located in a specific geographic location (e.g., within a college or university campus) to contribute to a specific collection. In some examples, contributions to a location story may employ secondary authentication to verify that the end user belongs to a specific organization or other entity (e.g., is a student on a university campus).

[0085] As described above, video table 314 stores video data, and in some examples, the video data is associated with messages for which records are maintained within message table 306. Similarly, image table 316 stores image data associated with messages for which message data is stored in entity table 308. Entity table 308 can associate various enhancements from enhancement table 312 with various images and videos stored in image table 316 and video table 314.

[0086] Database 304 also includes trained machine learning techniques 307, which store parameters of one or more machine learning models that have been trained during the training of the 3D model generation system. For example, trained machine learning techniques 307 store trained parameters of one or more artificial neural network machine learning models or techniques.

[0087] Data communication architecture

[0088] Figure 4This is a schematic diagram illustrating the structure of message 400 according to some examples, which is composed of... Figure 1 The interactive client 104 is generated for use via Figure 1 The interaction server 124 transmits the message to another interaction client 104. The content of the specific message 400 is used to populate the database stored in a database accessible by the interaction server 124. Figure 3 The message table 306 within database 304. Similarly, the content of message 400 is used as... Figure 1 The "in-transit" or "in-flight" data of the user system 102 or interactive server 124 is stored in memory. Message 400 is shown to include the following example components:

[0089] Message Identifier 402: A unique identifier that identifies message 400.

[0090] Message text payload 404: The text to be generated by the user via the user interface of user system 102 and included in message 400.

[0091] Message image payload 406: Image data captured by the camera device component of user system 102 or retrieved from the memory component of user system 102 and included in message 400. The image data for the sent or received message 400 can be stored in image table 316.

[0092] Message video payload 408: Video data captured by the camera device component or retrieved from the memory component of the user system 102 and included in message 400. The video data for the sent or received message 400 can be stored in image table 316.

[0093] Message audio payload 410: Audio data captured by the microphone or retrieved from the memory component of the user system 102 and included in message 400.

[0094] Message enhancement data 412: This represents enhancement data (e.g., filters, labels, or other annotations or enhancements) to be applied to the message image payload 406, message video payload 408, or message audio payload 410 of message 400. Enhancement data for the sent or received message 400 can be stored in enhancement table 312.

[0095] Message duration parameter 414: A parameter value, in seconds, indicating the amount of time that the content of the message (e.g., message image payload 406, message video payload 408, message audio payload 410) will be presented to the user via the interactive client 104 or that is accessible to the user.

[0096] Message geolocation parameter 416: Geographic location data (e.g., latitude and longitude coordinates) associated with the message's content payload. Multiple message geolocation parameter 416 values ​​may be included in the payload, each of which is associated with a content item included in the content (e.g., a specific image within the message image payload 406 or a specific video within the message video payload 408).

[0097] Message Story Identifier 418: An identifier value that identifies one or more sets of content (e.g., “story” identified in set table 318) associated with a specific content item in the message image payload 406 of message 400. For example, multiple images within the message image payload 406 may each be associated with multiple sets of content using their respective identifier values.

[0098] Message Tag 420: Each message 400 can be labeled with multiple tags, each of which indicates the subject of the content included in the message payload. For example, in the case where a specific image depicts an animal (e.g., a lion) is included in the message image payload 406, a tag value can be included within the message tag 420 indicating the relevant animal. Tag values ​​can be manually generated based on user input, or can be automatically generated using, for example, image recognition.

[0099] Message sender identifier 422: An identifier (e.g., message sending system identifier, email address, or device identifier) ​​indicating the user of the user system 102 on which message 400 is generated and from which message 400 is sent.

[0100] Message receiver identifier 424: An identifier (e.g., message sending and receiving system identifier, email address, or device identifier) ​​indicating the user of the user system 102 to which message 400 is addressed.

[0101] The content (e.g., values) of each component of message 400 can be pointers to locations in tables where content data values ​​are stored. For example, image values ​​in message image payload 406 can be pointers to locations (or their addresses) within image table 316. Similarly, values ​​in message video payload 408 can point to data stored in image table 316, values ​​in message enhancement data 412 can point to data stored in enhancement table 312, values ​​in message story identifier 418 can point to data stored in set table 318, and values ​​in message sender identifier 422 and message receiver identifier 424 can point to user records stored in entity table 308.

[0102] 3D model generation system

[0103] In some examples, the interactive client 104 implements a 3D model generation system. In this case, the interactive client 104 can receive an image depicting a two-dimensional (2D) object, such as a fashion item or clothing. The interactive client 104 can receive a user request to generate a 3D model based on the 2D object depicted in the image. The interactive client 104 can generate the 3D model in a semi-automatic manner in response to the request. After generating the 3D model, the interactive client 104 can integrate the 3D model of the object into one or more XR experiences.

[0104] In some examples, in response to receiving a request to generate a 3D model, the interactive client 104 presents a user interface requesting access to multiple textures of a 2D object. For example, the user interface may present several boxes, each corresponding to a different view of the 2D object. For example, views may include top, bottom, left, right, front, and rear views. The interactive client 104 can receive or access images corresponding to different views from the user. In some cases, the user can tap or select a specific box, such as the top view. In response, the interactive client 104 may activate a camera to capture an image corresponding to the top view of the 2D object and / or present an image library for the user to select an image depicting the top view. After receiving all or most of the images depicted in different views, a set or multiple textures representing the different views are stored, and the set or multiple textures are associated with the 2D object.

[0105] Specifically, the interactive client 104 begins by matching a 3D object with 2D images depicting different views of the 3D object. The interactive client 104 can automatically initialize UV ​​mapping for texture alignment, as described below. The interactive client 104 can also receive input from manually adjusting and refining the UV mapping. The interactive client 104 can then extract and finalize the textured 3D model by generating a single texture for the 3D object. The interactive client 104 can validate the 3D model from multiple views / perspectives and can save the 3D model to generate various experiences, such as XR shopping or try-on experiences.

[0106] Interactive client 104 can then generate initial alignments between multiple textures and blank 3D models of 2D objects corresponding to different views. For example, interactive client 104 can automatically generate a blending map for each surface location of the 3D model. The blending map can define the quantities of one or more textures associated with each surface location. Interactive client 104 can automatically generate a UV map for each surface location of the 3D model. The UV map defines which of the multiple textures is used for that surface location. Specifically, interactive client 104 associates a first weight with an individual surface location of the 3D model, the first weight representing a first quantity of a first texture among the multiple textures. Interactive client 104 associates a second weight with an individual surface location of the 3D model, the second weight representing a second quantity of a second texture among the multiple textures. Interactive client 104 can then store the first and second weights associated with the individual surface locations in the blending map. This process can be performed for each of the multiple textures and views to generate the blending map and UV map.

[0107] In some cases, interactive client 104 is in Figure 5 The process 500 shown automatically generates blending maps and UV maps. For example, the interactive client 104 can access a first texture 510 corresponding to a first view (such as a side view of a 3D object 512). Figure 1 The interactive client 104 generates binary images 520 and 522 for the first texture 510 and the corresponding view of the 3D object. Next, the interactive client 104 extracts contour points 530 and 532 from the binary images 520 and 522. The interactive client 104 uses the contour points 530 and 532 as landmarks to generate a UV transformation 540 to associate a specific texture with a view of the 3D object.

[0108] In some cases, the interactive client 104 copies pixels from the texture corresponding to the top view of the 3D object to the first part of the 3D object corresponding to the top view. Then, the interactive client 104 copies pixels from the texture corresponding to the bottom view of the 3D object to the second part of the 3D object corresponding to the bottom view. The interactive client 104 copies pixels from the texture corresponding to the left / right views of the 3D object to the parts of the 3D object corresponding to the left / right views. The interactive client 104 copies pixels from the texture corresponding to the rear view of the 3D object to the parts of the 3D object corresponding to the rear view, and copies pixels from the texture corresponding to the front view of the 3D object to the parts of the 3D object corresponding to the front view.

[0109] In some examples, to replicate pixels from a view of a corresponding portion of a 3D object, the interactive client 104 generates a blending map that associates each surface point of the 3D object with weights corresponding to one or more textures. The interactive client 104 generates a UV map that identifies which texture is mapped to a particular surface point, thus indicating from which pixels are obtained and used to fill the corresponding surface point of the 3D object. In some examples, multiple textures may be associated with the same surface point. In this case, the blending map may specify the amount of each texture used to generate the pixel values ​​of the surface point. For example, if two textures are used to generate the pixel values ​​of the surface point, the blending map may specify a first weight for the surface point (e.g., with a first value of 0.7) and a second weight for the surface point (e.g., with a first value of 0.3). The sum of the first and second weights may be 1. The interactive client 104 may indicate that the first weight corresponds to a first texture (e.g., representing a left-side view) and the second weight corresponds to a second texture (e.g., representing a top-side view). In this case, the pixel value of the surface point can be calculated by multiplying the pixel value at the surface point of the 3D object with the first texture (indicated by the UV map) by 0.3 and the pixel value at the surface point of the 3D object with the second texture (indicated by the UV map) by 0.7. The sum of the multiplied pixel values ​​can be calculated to generate the pixel value of the surface point of the 3D object. This process can be repeated for each surface point of the 3D object.

[0110] After generating various textures and initial alignments to the 3D object during this process, the interactive client 104 can present the 3D object under the initial alignment on the user interface. For example, as Figure 6As shown in user interfaces 600 and 601, interactive client 104 presents a 3D model 610 under initial alignment. User interfaces 600 and 601 are configured to receive input from the user adjusting the initial alignment automatically generated by interactive client 104. To generate the 3D model depicted in user interfaces 600 and 601, interactive client 104 determines the pixel value at each visible surface point of the 3D object. That is, assuming n is the normal of the mesh at a given vertex and d corresponds to the viewing direction of texture I, a dot product can be computed for each texture to provide the pixel value for a given vertex. The final blend vector can be initialized as follows:

[0111]

[0112] This final blending vector provides a continuous blending map that gradually changes according to the observed direction. When input is received from the user to rotate the 3D model, the vector is updated to present the 3D model with new pixel values ​​associated with the different textures being observed. For example, the 3D model may initially be displayed in a top view. In this case, a top view texture can be used to fill the pixel values ​​of the top view surface points of the 3D model being shown. Input to rotate the 3D model to display a bottom view can also be received. In response, a bottom view texture can be used to fill the pixel values ​​of the bottom view surface points of the 3D model being shown. As the 3D model rotates, different parts of different textures can be retrieved and presented on the corresponding parts of the 3D model shown in a continuous manner.

[0113] In some examples, the interactive client 104 receives input to change or adjust the initial alignment of textures. For example, the interactive client 104 may render a 3D model 610 in the user interface 600. The initial alignment is shown in the upper right corner, where a first texture 620 is associated with a first portion of the 3D model 610, and a second texture 630 is associated with a second portion of the 3D model 610. The interactive client 104 may receive input to drag a pen to provide strokes for painting different portions of the 3D model. Painting can be used to control or adjust which textures are aligned or associated with different portions of the 3D model 610. For example, pen input 640 may be received to paint the portion of the 3D model 610 corresponding to the first texture 620 onto the portion of the 3D model 610 corresponding to the second texture 630. In response, the interactive client 104 adjusts a designated portion 622 of the 3D model 610 associated with the second texture 630 (on which the pen is applied) to be now associated with the first texture 620. This is rendered in real time in the user interface 600. In this scenario, the blending map and UV map are updated to modify the weights and associations between the textures and the 3D model 610. For example, the blending map and UV map are updated to change the weights such that surface points corresponding to regions identified by the brush are associated with the first texture 620, but not with the second texture 630. This causes the 3D object to use pixels from the first texture 620, rather than pixels from the second texture 630, for regions of the 3D object identified by the brush strokes.

[0114] In some examples, the interactive client 104 may present a 3D model 610 in a user interface 601 and receive input to adjust the textures by dragging, moving, shrinking, compressing, enlarging, or otherwise altering the presented individual textures. This can be performed independently for each texture. For example, a first texture 650 (corresponding to a first image) may be presented on a first portion of the 3D model 610 in the user interface 601, and a second texture (corresponding to a second image) may be presented on a second portion of the 3D model 610 in the user interface 601. When the user drags, moves, shrinks, compresses, enlarges, or otherwise alters the first texture 650, these changes are reflected without any modification and independently of altering the second portion of the 3D model 610. The interactive client 104 may receive input by tapping or selecting the first texture 650 to activate or enable modifications to the first texture 650 (e.g., placement, orientation, size, or any other visual attribute modification) independently of modifying the second texture.

[0115] For example, the interactive client 104 can receive input of dragging point 652 of the first texture 650 downwards. This causes a portion 660 of the first texture 650 to be enlarged. The interactive client 104 can calculate the change to the first texture 650 based on a transformation function. Specifically, the interactive client 104 generates a transformation function that deforms the initial 3D model based on the input. The transformation function may include a thin-plate spline (TPS) transformation. The change can be performed based on a keypoint image transformation. This can define the transformation from the original image to the target image in a smooth manner. The function can take the following form:

[0116]

[0117] Furthermore, the coefficients can be calculated by solving the system of linear equations. This allows for the smooth deformation of 2D images (e.g., corresponding to a texture selected in the user interface 601). The user interface 601 allows the user to add or remove control points by clicking and dragging the image corresponding to the texture rendered in real time in the 3D model 610.

[0118] In some examples, input indicating that the 3D model is complete and that the automatically aligned textures have been corrected by the input can be received. In response, the interactive client 104 generates a final single texture based on the current blending map and UV map, which has been generated from multiple textures and adjusted based on the input received from the user in user interfaces 600 and 601. This single texture can be associated with a 3D model of a 2D object and used by the XR experience to provide a real-time try-on experience. That is, the 3D model (associated with a single texture) can be overlaid on a real-world object depicted in the video stream to provide an XR experience.

[0119] In some examples, a machine learning model (e.g., an artificial neural network or a convolutional neural network) is implemented by an interactive client 104 to generate multiple initial alignments from textures to a 3D object. In this case, the machine learning model can receive multiple textures of a 3D model and different views of the 3D model as input, and can output initial blending maps and UV maps that associate the different textures with the 3D model. To train this machine learning model, the training data includes multiple training textures of the object and a training 3D model, as well as ground truth alignments from the training textures of the object to the training 3D model. The machine learning model can be applied to analyze the training textures of the object and the training 3D model to estimate the mappings of the training textures (initial blending maps and UV maps). The ground truth alignments from the training textures to the training 3D model can be retrieved and compared with the estimated mappings to generate a loss. This loss is used to update one or more parameters of a single machine learning model. The machine learning model can then be similarly applied to another set of training data until a stopping criterion is met.

[0120] Figure 7 This is a flowchart of a process or method 700 performed by a 3D model generation system, based on some examples. While a flowchart can describe operations as a sequential process, many of the operations can be executed in parallel or concurrently. Furthermore, the order of operations can be rearranged. The process terminates when the operations of the process are completed. A process can correspond to a method, a program, etc. The steps of a method can be performed in whole or in part, can be combined with some or all of the steps in other methods, and can be executed by any number of different systems or any part thereof (e.g., processors included in any system).

[0121] At operation 701, the 3D model generation system (e.g., at least partially composed of...) Figure 1 User system 102 Figure 1 The interactive client 104 and / or server implementation receives multiple textures associated with an object, each of which corresponds to a different view of the object, as described above.

[0122] At operation 702, the 3D model generation system automatically generates an initial 3D model based on the initial alignment of corresponding parts of the initial 3D model of multiple textures to objects, as described above.

[0123] At operation 703, the 3D model generation system receives input of initial alignment of multiple textures to corresponding parts of an initial 3D model to provide a corrected 3D model, as described above.

[0124] At operation 704, the 3D model generation system combines multiple textures into a single texture based on the input of adjusting the initial alignment of multiple textures. This single texture defines the visual attributes of the object from multiple views, as described above.

[0125] At operation 705, the 3D model generation system stores the modified 3D model in association with a single texture, as described above.

[0126] Example

[0127] Example 1. A method comprising: receiving a plurality of textures associated with an object, each of the plurality of textures corresponding to a different view of the object; automatically generating an initial 3D model based on initial alignments of the plurality of textures to corresponding portions of the initial 3D model of the object; receiving input adjusting the initial alignments of the plurality of textures to the corresponding portions of the initial 3D model to provide a modified 3D model; combining the plurality of textures into a single texture based on the input adjusting the initial alignments of the plurality of textures, the single texture defining visual attributes of the object from the plurality of views; and storing the modified 3D model in association with the single texture.

[0128] Example 2. According to the method of Example 1, wherein the object represents a fashion item.

[0129] Example 3. The method according to any one of Examples 1 to 2 further includes: obtaining a specific 3D model of the object; initializing a UV mapping between each of the plurality of textures and a corresponding portion of the specific 3D model to provide the initial 3D model; refining the UV mapping based on the received input; and generating the individual texture based on the refinement of the UV mapping.

[0130] Example 4. According to the method of Example 3, wherein the initial 3D model has a separate UV mapping for each of the plurality of textures, and a blending map that associates each surface position of the initial 3D model with one or more of the plurality of textures.

[0131] Example 5. The method according to any one of Examples 1 to 5 further includes: automatically generating a blending map for each surface location of the initial 3D model, the blending map defining the amount of one or more textures associated with each surface location.

[0132] Example 6. The method according to Example 5 further includes: automatically generating a UV map for each surface location of the initial 3D model, the UV map defining which of the plurality of textures is used for the surface location.

[0133] Example 7. The method according to Example 6 further includes: associating a first weight with an individual surface location of the initial 3D model, the first weight representing a first amount of a first texture among the plurality of textures; associating a second weight with the individual surface location of the initial 3D model, the second weight representing a second amount of a second texture among the plurality of textures; and storing the first weight and the second weight in association with the individual surface location in the blending graph.

[0134] Example 8. According to the method of Example 7, the sum of the first weight and the second weight corresponds to the value 1.

[0135] Example 9. The method according to any one of Examples 1 to 8 further includes: selecting a first texture among the plurality of textures; determining a separate view associated with the first texture; generating a first binary image of the first texture; generating a second binary image of a view of the object corresponding to the separate view; and identifying contour key points by matching the first binary image and the second binary image.

[0136] Example 10. The method of Example 9 further includes: determining the UV transformation between the first texture and the view of the object based on the contour key points.

[0137] Example 11. The method of Example 10 further includes associating the first texture with a view of the object based on the UV transformation.

[0138] Example 12. The method according to any one of Examples 1 to 11 further includes: generating a transformation function based on the input to deform the initial 3D model.

[0139] Example 13. According to the method of Example 12, wherein the transformation function includes a thin plate spline (TPS) transformation.

[0140] Example 14. The method according to any one of Examples 12 to 13 further includes: presenting a view of the initial 3D model in a user interface, the input being received via the user interface; determining that the input corresponds to stretching, shrinking, or changing the position of a texture currently being viewed in the user interface; and applying the input to the transformation function to smoothly deform the view of the initial 3D model.

[0141] Example 15. The method according to any one of Examples 1 to 14 further includes: selecting a view of the initial 3D model; obtaining a view orientation associated with each of the plurality of textures; and for each surface point of the initial 3D model corresponding to the selected view, calculating a pixel value as a function of the dot product between the surface point and the view orientation of each of the plurality of textures.

[0142] Example 16. The method according to Example 15 further includes: presenting a view of the initial 3D model in a user interface; receiving a request to change the association of individual surface points of the initial 3D model from a first texture of the plurality of textures to a second texture of the plurality of textures as input; and updating the blending map and UV map based on the request to change the association.

[0143] Example 17. According to the method of Example 16, a pen cursor is used to receive the request, the pen cursor marking the area of ​​the initial 3D model to be changed.

[0144] Example 18. A method according to any one of Examples 1 to 17, wherein a convolutional neural network (CNN) is used to generate the initial 3D model, the CNN being trained by performing a training operation comprising: accessing training data including training textures of an object and a training 3D model, and a ground truth alignment of the training textures of the object to the training 3D model; analyzing the training textures to estimate the mapping of the training textures to the training 3D model; calculating the deviation between the estimated mapping of the training textures to the training 3D model and the ground truth alignment; and updating one or more parameters of the CNN based on the calculated deviation.

[0145] Example 19. A system comprising at least one processor and at least one memory unit thereon storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations including: receiving a plurality of textures associated with an object, each of the plurality of textures corresponding to a different view of the object; automatically generating an initial 3D model based on initial alignments of the plurality of textures to corresponding portions of the initial three-dimensional (3D) model of the object; receiving input adjusting the initial alignments of the plurality of textures to the corresponding portions of the initial 3D model to provide a modified 3D model; combining the plurality of textures into a single texture based on the input adjusting the initial alignments of the plurality of textures, the single texture defining visual attributes of the object from the plurality of views; and storing the modified 3D model associated with the single texture.

[0146] Example 20. A non-transitory computer-readable storage medium having instructions stored thereon, the instructions causing the at least one processor, when executed, to perform operations including: receiving a plurality of textures associated with an object, each of the plurality of textures corresponding to a different view of the object; automatically generating an initial 3D model based on initial alignments of the plurality of textures to corresponding portions of the initial three-dimensional (3D) model of the object; receiving input adjusting the initial alignments of the plurality of textures to the corresponding portions of the initial 3D model to provide a modified 3D model; combining the plurality of textures into a single texture based on the input adjusting the initial alignments of the plurality of textures, the single texture defining visual attributes of the object from the plurality of views; and storing the modified 3D model in association with the single texture.

[0147] Machine architecture

[0148] Figure 8This is a schematic representation of machine 800, within which instructions 802 (e.g., software, programs, applications, applets, or other executable code) can be executed to cause machine 800 to perform any or more of the methods discussed herein. For example, instructions 802 can cause machine 800 to perform any or more of the methods described herein. Instructions 802 transform a general, unprogrammed machine 800 into a specific machine 800 programmed to perform the described and illustrated functions in the described manner. Machine 800 can operate as a standalone device or can be coupled (e.g., networked) to other machines. In a networked deployment, machine 800 can operate as a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. Machine 800 may include, but is not limited to, server computers, client computers, personal computers (PCs), tablets, laptops, netbooks, set-top boxes (STBs), personal digital assistants (PDAs), entertainment media systems, cellular phones, smartphones, mobile devices, wearable devices (e.g., smartwatches), smart home devices (e.g., smart appliances), other smart devices, web devices, network routers, network switches, bridges, or any machine capable of sequentially or otherwise executing instructions 802 that specify actions to be taken by machine 800. Furthermore, while a single machine 800 is shown, the term "machine" should also be considered as a collection of machines that individually or jointly execute instructions 802 to perform any one or more of the methods discussed herein. For example, machine 800 may include user system 102 or any of a plurality of server devices forming part of interactive server system 110. In some examples, machine 800 may also include both client and server systems, wherein certain operations of a particular method or algorithm are performed on the server side and certain operations of said particular method or algorithm are performed on the client side.

[0149] Machine 800 may include a processor 804, a memory 806, and an input / output (I / O) unit 808 that can be configured to communicate with each other via a bus 810. In the example, processor 804 (e.g., a central processing unit (CPU), a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a graphics processing unit (GPU), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a radio frequency integrated circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, processors 812 and 814 that execute instruction 802. The term "processor" is intended to include multi-core processors, which may include two or more independent processors (sometimes referred to as "cores") capable of executing instructions simultaneously. Although Figure 8Multiple processors 804 are shown, but machine 800 may include a single processor with a single core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiple cores, or any combination thereof.

[0150] Memory 806 includes main memory 816, static memory 818, and memory cells 820, all of which are accessible by processor 804 via bus 810. Main memory 806, static memory 818, and memory cells 820 store instructions 802 embodying any one or more of the methods or functions described herein. Instructions 802 may also reside wholly or partially within main memory 816, static memory 818, machine-readable medium 822 within memory cells 820, at least one processor of processor 804 (e.g., the processor's cache memory), or any suitable combination thereof, during execution by machine 800.

[0151] I / O component 808 may include a wide variety of components for receiving input, providing output, generating output, transmitting information, exchanging information, capturing measurement results, etc. The specific I / O component 808 included in a particular machine will depend on the type of machine. For example, a portable machine such as a mobile phone may include a touch input device or other such input mechanism, while a headless server machine may not include such a touch input device. It will be understood that I / O component 808 may include... Figure 8 Many other components are not shown. In various examples, I / O component 808 may include user output component 824 and user input component 826. User output component 824 may include visual components (e.g., displays such as plasma display panels (PDPs), light-emitting diode (LED) displays, liquid crystal displays (LCDs), projectors, or cathode ray tube (CRT) displays), acoustic components (e.g., speakers), haptic components (e.g., vibrating motors, resistive mechanisms), other signal generators, etc. User input component 826 may include alphanumeric input components (e.g., keyboards, touchscreens configured to receive alphanumeric input, photoelectric keyboards, or other alphanumeric input components), point-based input components (e.g., mice, touchpads, trackballs, joysticks, motion sensors, or other pointing instruments), haptic input components (e.g., physical buttons, touchscreens or other haptic input components that provide touch gestures or the position and force of a touch), audio input components (e.g., microphones), etc. Any biometric data collected by the biometric component is captured and stored with user approval and deleted upon user request.

[0152] Furthermore, such biometric data can be used for very limited purposes, such as identity verification. To ensure the restricted and authorized use of biometric information and other personally identifiable information (PII), access to the data is limited to authorized personnel, if permitted. Any use of biometric data may be strictly limited to identity verification purposes, and the data may not be shared or sold to any third party without the user's explicit consent. In addition, appropriate technical and organizational measures have been implemented to ensure the security and confidentiality of this sensitive information.

[0153] In another example, I / O component 808 may include biometric component 828, motion component 830, environmental component 832, or positioning component 834, as well as various other components. For example, biometric component 828 includes components for detecting expressions (e.g., hand expressions, facial expressions, voice expressions, body posture, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, sweating, or brain waves), and identifying people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or EEG-based recognition).

[0154] Biometric components may include brain-computer interface (BMI) systems that allow communication between the brain and external devices or machines. This can be achieved by recording brain activity data, converting that data into a format that can be understood by a computer, and then using the resulting signals to control the device or machine.

[0155] Examples of BMI technology types include:

[0156] BMI based on electroencephalography (EEG) uses electrodes placed on the scalp to record electrical activity in the brain.

[0157] Invasive BMI, which uses electrodes surgically implanted into the brain.

[0158] Optogenetics BMI uses light to control the activity of specific nerve cells in the brain.

[0159] The moving part 830 includes an acceleration sensor part (e.g., an accelerometer), a gravity sensor part, and a rotation sensor part (e.g., a gyroscope).

[0160] The environmental component 832 includes, for example, one or more camera devices (with still image / photograph and video capabilities), illuminance sensor components (e.g., photometers), temperature sensor components (e.g., one or more thermometers for detecting ambient temperature), humidity sensor components, pressure sensor components (e.g., barometers), acoustic sensor components (e.g., one or more microphones for detecting background noise), proximity sensor components (e.g., infrared sensors for detecting nearby objects), gas sensors (e.g., gas detection sensors for detecting hazardous gas concentrations or measuring pollutants in the atmosphere for safety purposes), or other components that can provide indications, measurements, or signals corresponding to the surrounding physical environment.

[0161] Regarding the camera device, the user system 102 may have a camera device system, which includes, for example, a front-facing camera on the front surface of the user system 102 and a rear-facing camera on the rear surface of the user system 102. The front-facing camera may be used, for example, to capture still images and videos (e.g., “selfies”) of the user of the user system 102, and then enhance these still images and videos with enhancement data (e.g., filters) as described above. The rear-facing camera may be used, for example, to capture still images and videos in a more conventional camera mode, which are similarly enhanced with enhancement data. In addition to the front-facing and rear-facing cameras, the user system 102 may also include a 360° camera for capturing 360° photos and videos.

[0162] Furthermore, the camera system of user system 102 may include dual rear cameras (e.g., a main camera and a depth sensing camera) located on the front and rear sides of user system 102, or even triple, quadruple, or quintuple rear camera configurations. These multi-camera systems may include, for example, wide-angle cameras, ultra-wide-angle cameras, telephoto cameras, macro cameras, and depth sensors.

[0163] The positioning component 834 includes a position sensor component (e.g., a GPS receiver component), an altitude sensor component (e.g., an altimeter or barometer that detects air pressure from which altitude can be obtained), an orientation sensor component (e.g., a magnetometer), etc.

[0164] Communication can be implemented using a wide variety of technologies. I / O component 808 also includes a communication component 836 operable to couple machine 800 to network 838 or device 840 via a suitable coupling or connection. For example, communication component 836 may include a network interface component or another suitable device that interfaces with network 838. In further examples, communication component 836 may include wired communication components, wireless communication components, cellular communication components, near field communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components that provide communication via other modalities. Device 840 may be another machine or any peripheral device from a variety of peripheral devices (e.g., a peripheral device coupled via Universal Serial Bus (USB)).

[0165] Furthermore, the communication component 836 may detect identifiers or include components operable to detect identifiers. For example, the communication component 836 may include a radio frequency identification (RFID) tag reader component, an NFC smart tag detection component, an optical reader component (e.g., an optical sensor for detecting one-dimensional barcodes (e.g., Universal Product Code (UPC) barcodes), multi-dimensional barcodes (e.g., Quick Response (QR) codes, Aztec codes, Data Matrix, Dataglyph™, MaxiCode, PDF417, Ultra Code, UCC RSS-2D barcodes, and other optical codes)), or an acoustic detection component (e.g., a microphone for identifying audio signals from tags). Additionally, various information can be derived via the communication component 836, such as location via Internet Protocol (IP) geolocation, location via Wi-Fi® signal triangulation, location by detecting NFC beacon signals that can indicate a specific location, etc.

[0166] Various memories (e.g., main memory 816, static memory 818, and memory of processor 804) and storage units 820 may store one or more sets of instructions and data structures (e.g., software) used or embodied by any one or more of the methods or functions described herein. These instructions (e.g., instruction 802) cause various operations to implement the disclosed examples when executed by processor 804.

[0167] Instruction 802 can be sent or received via network 838, using a transmission medium, via a network interface device (e.g., a network interface component included in communication component 836), and using any of several known transmission protocols (e.g., HTTP). Similarly, instruction 802 can be sent or received using a transmission medium via coupling to device 840 (e.g., peer-to-peer coupling).

[0168] Software Architecture

[0169] Figure 9 This is a block diagram 900 illustrating a software architecture 902 that can be installed on any one or more of the devices described herein. The software architecture 902 is supported by hardware such as a machine 904 including a processor 906, memory 908, and I / O components 910. In this example, the software architecture 902 can be conceptualized as a stack of layers, each providing specific functionality. The software architecture 902 includes layers such as an operating system 912, libraries 914, frameworks 916, and applications 918. Operationally, application 918 invokes API calls 920 through the software stack and receives messages 922 in response to API calls 920.

[0170] Operating system 912 manages hardware resources and provides public services. Operating system 912 includes, for example, kernel 924, services 926, and drivers 928. Kernel 924 serves as an abstraction layer between hardware and other software layers. For example, kernel 924 provides functions such as memory management, processor management (e.g., scheduling), component management, networking, and security settings. Services 926 can provide other public services to other software layers. Drivers 928 are responsible for controlling or interfacing with the underlying hardware. For example, drivers 928 may include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® low-power drivers, flash memory drivers, serial communication drivers (e.g., USB drivers), Wi-Fi® drivers, audio drivers, power management drivers, etc.

[0171] Library 914 provides common low-level infrastructure used by application 918. Library 914 may include system libraries 930 (e.g., the C standard library) that provide functions such as memory allocation, string manipulation, and mathematical functions. Furthermore, library 914 may include API libraries 932, such as media libraries (e.g., libraries for supporting the rendering and manipulation of various media formats, such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codecs, Joint Picture Experts Group (JPEG or JPG), or Portable Web Graphics (PNG)), graphics libraries (e.g., the OpenGL framework for rendering graphic content on a display in 2D and 3D), database libraries (e.g., SQLite for providing various relational database functions), web libraries (e.g., WebKit for providing web browsing functionality to applications), etc. Library 914 may also include a wide variety of other libraries 934 to provide many other APIs to application 918.

[0172] Framework 916 provides common high-level infrastructure for use by Application 918. For example, Framework 916 provides various GUI functionalities, advanced resource management, and advanced location services. Framework 916 can provide a wide range of other APIs that can be used by Application 918, some of which may be specific to a particular operating system or platform.

[0173] In the example, application 918 may include home application 936, contact application 938, browser application 940, book reader application 942, location application 944, media application 946, messaging application 948, game application 950, and various other categories of applications, such as third-party application 952. Application 918 is a program that performs the functions defined in the program. One or more applications 918 can be created using various programming languages, such as object-oriented programming languages ​​(e.g., Objective-C, Java, or C++) or procedural programming languages ​​(e.g., C or assembly language). In a particular example, third-party application 952 (e.g., an application developed by an entity other than a platform vendor using the Android™ or iOS™ SDK) may be mobile software running on a mobile operating system (e.g., iOS™, Android™, Windows® Phone, or another mobile operating system). In this example, third-party application 952 may invoke API calls 920 provided by operating system 912 to facilitate the functions described herein.

[0174] Systems with head-mounted devices

[0175] Figure 10 A system 1000 including a head-mounted device 116 with a selector input device is shown according to some examples. Figure 10 This is a high-level functional block diagram of an example head-mounted device 116 that is communicatively coupled to mobile devices 114 and various server systems 1004 (e.g., interactive server system 110) via various networks 1016.

[0176] The head-mounted device 116 includes one or more camera devices, each of which may be, for example, a visible light camera 1006, an infrared emitter 1008, and an infrared camera 1010.

[0177] Mobile device 114 connects to head-mounted device 116 using both low-power wireless connection 1012 and high-speed wireless connection 1014. Mobile device 114 also connects to server system 1004 and network 1016.

[0178] The head-mounted device 116 also includes two image displays 1018 of the optical components. These two image displays 1018 include an image display associated with the left lateral side of the head-mounted device 116 and an image display associated with the right lateral side of the head-mounted device 116. The head-mounted device 116 also includes an image display driver 1020, an image processor 1022, a low-power circuitry system 1024, and a high-speed circuitry system 1026. The image displays 1018 of the optical components are used to present images and videos, including images that may include a GUI, to a user of the head-mounted device 116.

[0179] The image display driver 1020 commands and controls the image display 1018 of the optical components. The image display driver 1020 can directly transmit image data to the image display 1018 of the optical components for presentation, or it can convert the image data into a signal or data format suitable for transmission to the image display device. For example, the image data can be video data formatted according to a compression format (e.g., H.264 (MPEG-4 Part 10), HEVC, Theora, Dirac, RealVideo RV40, VP8, VP9, ​​etc.), and still image data can be formatted according to a compression format (e.g., PNG, JPEG, Tagged Image File Format (TIFF), or Interchangeable Image File Format, etc.).

[0180] The head-mounted device 116 includes a frame and stems (or temples) extending laterally from the frame. The head-mounted device 116 also includes a user input device 1028 (e.g., a touch sensor or button), which includes an input surface on the head-mounted device 116. The user input device 1028 (e.g., a touch sensor or a pressed button) receives input selections from the user to manipulate a GUI of the presented image.

[0181] Figure 10 The components shown for the head-mounted device 116 are located on one or more circuit boards (e.g., PCBs or flexible PCBs) on the edge or temples. Alternatively or additionally, the depicted components may be located in a chunk, frame, hinge, or nose bridge of the head-mounted device 116. The left and right visible light imaging devices 1006 may include digital imaging device elements, such as complementary metal-oxide-semiconductor (CMOS) image sensors, charge-coupled devices, camera lenses, or any other corresponding visible or light-capturing elements that can be used to capture data, including images of scenes with unknown objects.

[0182] The head-mounted device 116 includes a memory 1002 that stores instructions for performing a subset or all of the functions described herein. The memory 1002 may also include a storage device.

[0183] like Figure 10 As shown, the high-speed circuit system 1026 includes a high-speed processor 1030, a memory 1002, and a high-speed wireless circuit system 1032. In some examples, an image display driver 1020 is coupled to the high-speed circuit system 1026 and operated by the high-speed processor 1030 to drive the left and right image displays in the image display 1018 of the optical components. The high-speed processor 1030 can be any processor capable of managing the operation of any general-purpose computing system and high-speed communication required by the head-mounted device 116. The high-speed processor 1030 includes the processing resources required for managing high-speed data transmission over a high-speed wireless connection 1014 to a wireless local area network (WLAN) using the high-speed wireless circuit system 1032. In some examples, the high-speed processor 1030 executes the operating system of the head-mounted device 116, such as the LINUX operating system or another such operating system, and this operating system is stored in the memory 1002 for execution. Among other duties, the high-speed processor 1030, which executes the software architecture for the head-mounted device 116, manages data transmission with the high-speed wireless circuit system 1032. In some examples, the high-speed wireless circuit system 1032 is configured to implement the Institute of Electrical and Electronics Engineers (IEEE) 802.11 communication standard, also referred to herein as WiFi. In some examples, the high-speed wireless circuit system 1032 may implement other high-speed communication standards.

[0184] The low-power wireless circuitry system 1034 and high-speed wireless circuitry system 1032 of the head-mounted device 116 may include a short-range transceiver (Bluetooth™) and a wireless wide-area network transceiver, a local area network transceiver, or a wide-area network transceiver (e.g., cellular or WiFi). The mobile device 114, including transceivers communicating via low-power wireless connection 1012 and high-speed wireless connection 1014, can be implemented using the architectural details of the head-mounted device 116, as can other elements of the network 1016.

[0185] Memory 1002 includes any storage device capable of storing various data and applications, including camera data generated by the left and right visible light imaging devices 1006, the infrared imaging device 1010, and the image processor 1022, as well as images generated for display on the respective image displays of the optical component image display 1018 by the image display driver 1020, and so on. While memory 1002 is shown as integrated with the high-speed circuitry system 1026, in some examples, memory 1002 may be a separate, independent component of the head-mounted device 116. In some such examples, electrical wiring may provide a connection from the image processor 1022 or the low-power processor 1036 to memory 1002 via a chip including the high-speed processor 1030. In some examples, the high-speed processor 1030 may manage addressing of memory 1002, such that the low-power processor 1036 will activate the high-speed processor 1030 whenever a read or write operation involving memory 1002 is required.

[0186] like Figure 10 As shown, the low-power processor 1036 or high-speed processor 1030 of the head-mounted device 116 may be coupled to a camera device (visible light camera 1006, infrared emitter 1008 or infrared camera 1010), an image display driver 1020, a user input device 1028 (e.g., a touch sensor or button) and a memory 1002.

[0187] The head-mounted device 116 is connected to a host computer. For example, the head-mounted device 116 is paired with the mobile device 114 via a high-speed wireless connection 1014, or connected to a server system 1004 via a network 1016. The server system 1004 may be one or more computing devices as part of a service or network computing system, which includes, for example, a processor, memory, and a network communication interface to communicate with the mobile device 114 and the head-mounted device 116 via the network 1016.

[0188] Mobile device 114 includes a processor and a network communication interface coupled to the processor. The network communication interface allows communication via network 1016, low-power wireless connection 1012, or high-speed wireless connection 1014. Mobile device 114 may also store at least a portion of instructions for generating binaural audio content in its memory to implement the functions described herein.

[0189] The output components of the head-mounted device 116 include visual components, such as displays like LCDs, PDPs, LED displays, projectors, or waveguides. The image display of the optical components is driven by an image display driver 1020. The output components of the head-mounted device 116 also include acoustic components (e.g., speakers), haptic components (e.g., vibrating motors), other signal generators, etc. The input components (e.g., user input device 1028) of the head-mounted device 116, mobile device 114, and server system 1004 may include alphanumeric input components (e.g., keyboards, touchscreens configured to receive alphanumeric input, photoelectric keyboards, or other alphanumeric input components), point-based input components (e.g., mice, touchpads, trackballs, joysticks, motion sensors, or other pointing instruments), haptic input components (e.g., physical buttons, touchscreens that provide the position and force of a touch or touch gesture, or other haptic input components), audio input components (e.g., microphones), etc.

[0190] The head-mounted device 116 may also include additional peripheral device elements. Such peripheral device elements may include display elements, additional sensors, or biometric sensors integrated with the head-mounted device 116. For example, peripheral device elements may include any I / O components, including output components, motion components, positioning components, or any other such elements described herein.

[0191] For example, biometric components include those for detecting expressions (e.g., hand gestures, facial expressions, vocal expressions, body posture, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, sweating, or brain waves), and identifying people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or EEG-based recognition). Biometric components may include a BMI system that allows communication between the brain and external devices or machines. This can be achieved by recording brain activity data, converting that data into a format that can be understood by a computer, and then using the resulting signals to control the device or machine.

[0192] Moving components include accelerometer components (e.g., accelerometers), gravity sensor components, rotation sensor components (e.g., gyroscopes), etc. Positioning components include position sensor components (e.g., GPS receiver components) for generating position coordinates, Wi-Fi or Bluetooth™ transceivers for generating positioning system coordinates, altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude can be obtained), orientation sensor components (e.g., magnetometers), etc. Such positioning system coordinates can also be received from mobile device 114 via low-power wireless circuitry system 1034 or high-speed wireless circuitry system 1032 through low-power wireless connection 1012 and high-speed wireless connection 1014.

[0193] Glossary

[0194] "Carrier signal" refers to any intangible medium, such as a medium capable of storing, encoding, or carrying machine-executable instructions and including digital or analog communication signals, or other intangible medium facilitating the transmission of such instructions. Instructions can be sent or received over a network using a transmission medium via a network interface device.

[0195] "Client device" means any machine that interfaces with a communication network to obtain resources from one or more server systems or other client devices. Client devices can be, but are not limited to, mobile phones, desktop computers, laptop computers, portable digital assistants (PDAs), smartphones, tablet computers, ultrabooks, netbooks, laptops, multiprocessor systems, microprocessor-based or programmable consumer electronics, game consoles, STBs, or any other communication device that a user can use to access the network.

[0196] "Communications network" refers to one or more parts of a network, such as an ad hoc network, intranet, extranet, virtual private network (VPN), local area network (LAN), WLAN, wide area network (WAN), wireless WAN (WWAN), metropolitan area network (MAN), the Internet, a part of the Internet, a part of the Public Switched Telephone Network (PSTN), a Common Old-Style Telephone Service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, other types of networks, or a combination of two or more such networks. For example, a network or part of a network may include a wireless network or a cellular network, and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile Communications (GSM) connection, or other types of cellular or wireless coupling. In this example, coupling can enable any data transmission technology of various types, such as single-carrier radio transmission technology (1xRTT), evolved data optimization (EVDO) technology, general packet radio service (GPRS) technology, enhanced data rate GSM evolution (EDGE) technology, the 3rd Generation Partnership Project (3GPP) including 3G, fourth-generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High-Speed ​​Packet Access (HSPA), Global Microwave Access Interoperability (WiMAX), Long Term Evolution (LTE) standards, other data transmission technologies defined by various standards setting organizations, other long-distance protocols, or other data transmission technologies.

[0197] A "component" refers to a logical or physical entity or device, such as having boundaries, branch points, APIs, or other technical definitions that provide partitioning or modularity for a particular processing or control function, such as those defined by functions or subroutines. A component can be combined with other components via its interface to perform machine processing. A component can be a packaged functional hardware unit designed to be used with other components, or part of a program that typically performs a related function. A component can constitute a software component (e.g., code embodied on a machine-readable medium) or a hardware component.

[0198] A “hardware component” is a tangible unit capable of performing certain operations and can be configured or arranged in a physical manner. In various examples, one or more computer systems (e.g., standalone computer systems, client computer systems, or server computer systems) or one or more hardware components (e.g., processors or processor groups) of a computer system can be configured by software (e.g., applications or application portions) to operate to perform certain operations described herein.

[0199] "Hardware component" can be implemented mechanically, electronically, or in any suitable combination thereof. For example, a hardware component may include a dedicated circuit system or logic permanently configured to perform certain operations. A hardware component may be a dedicated processor, such as a field-programmable gate array (FPGA) or an ASIC. A hardware component may also include programmable logic or a circuit system temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, the hardware component becomes a specific machine (or a specific part of a machine) uniquely tailored to perform the configured function, and is no longer a general-purpose processor. It will be understood that the hardware component may be implemented mechanically in a temporarily configured (e.g., software-configured) circuit system or in a dedicated and permanently configured circuit system, for cost and time considerations. Therefore, the phrase "hardware component" (or "hardware-implemented component") should be understood to encompass tangible entities that are physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain way or perform certain operations described herein.

[0200] Consider an example where hardware components are temporarily configured (e.g., programmed), without requiring each of the hardware components to be configured or instantiated at any given time. For example, in cases where the hardware components include a general-purpose processor that becomes a dedicated processor through software configuration, this general-purpose processor can be configured at different times as (e.g., including different hardware components) different dedicated processors. The software accordingly configures one or more specific processors to constitute a specific hardware component at one time and different hardware components at different times. Hardware components can provide information to and receive information from other hardware components. Thus, the described hardware components can be considered communicatively coupled. In cases where multiple hardware components exist simultaneously, communication can be achieved through signal transmission between or among two or more hardware components (e.g., via appropriate circuitry and buses). In examples where multiple hardware components are configured or instantiated at different times, such communication between hardware components can be achieved, for example, through the storage and retrieval of information in a storage structure accessible to the multiple hardware components. For example, a hardware component can perform an operation and store the output of that operation in a storage device communicatively coupled to it. Then, additional hardware components can access the storage device at a later time to retrieve and process the stored output. The hardware components can also initiate communication with input or output devices and are capable of manipulating resources (e.g., collections of information). The various operations of the example methods described herein can be performed, at least in part, by (e.g., via software) one or more processors temporarily or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors can constitute components of a processor implementation that operates to perform one or more operations or functions described herein.

[0201] As used herein, "processor-implemented component" refers to a hardware component implemented using one or more processors. Similarly, the methods described herein can be implemented at least in part by processors, where a particular processor or one or more processors are examples of hardware. For example, at least some of the operations of the methods can be performed by one or more processors or processor-implemented components. Furthermore, one or more processors can also operate to support the execution of related operations in a "cloud computing" environment or as a "Software as a Service" (SaaS) operation. For example, at least some of the operations can be performed by a group of computers (as an example of machines including processors), where these operations are accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., APIs). The execution of some operations can be distributed across processors, not residing within a single machine, but deployed across multiple machines. In some examples, the processor or processor-implemented component may reside in a single geographic location (e.g., in a home environment, office environment, or server cluster). In other examples, the processor or processor-implemented component may be distributed across multiple geographic locations.

[0202] "Computer-readable storage medium" refers to both, for example, machine storage media and transmission media. Therefore, these terms include both storage devices / media and carrier / modulated data signals. The terms "machine-readable medium," "computer-readable medium," and "device-readable medium" refer to the same thing and can be used interchangeably in this disclosure. "Temporary message" refers to a message that is accessible for a limited time period, for example. A temporary message can be text, an image, video, etc. The access time of a temporary message can be set by the message sender. Alternatively, the access time can be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is temporary.

[0203] "Machine storage medium" refers to one or more storage devices and media (e.g., centralized or distributed databases, and associated caches and servers) that store executable instructions, routines, and data. This term should be accordingly considered to include, but is not limited to, solid-state memory, as well as optical and magnetic media, including memory internal or external to the processor. Specific examples of machine storage media, computer storage media, and device storage media include: non-volatile memory, including, by way of example, semiconductor storage devices such as erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), FPGAs, and flash memory devices; disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROMs and DVD-ROMs. The terms "machine storage medium," "device storage medium," and "computer storage medium" refer to the same thing and may be used interchangeably in this disclosure.

[0204] The terms “machine storage medium,” “computer storage medium,” and “device storage medium” explicitly exclude carrier waves, modulated data signals, and other such media, at least some of which are encompassed in the term “signal medium.” “Non-transitory computer-readable storage medium” refers to, for example, a tangible medium capable of storing, encoding, or carrying instructions executable by a machine. “Signal medium” refers to, for example, any intangible medium capable of storing, encoding, or carrying instructions executable by a machine and includes digital or analog communication signals or other intangible media facilitating the communication of software or data. The term “signal medium” should be considered to include any form of modulated data signal, carrier wave, etc. The term “modulated data signal” means a signal whose characteristics are set or altered in a manner that encodes information in the signal. The terms “transmission medium” and “signal medium” refer to the same thing and may be used interchangeably in this disclosure.

[0205] "User equipment" means, for example, a device accessed, controlled, or owned by a user and on which the user interacts to perform interactions or actions, including interactions with other users or computer systems. "Carrier signal" means any intangible medium or other intangible medium capable of storing, encoding, or carrying machine-executable instructions and comprising digital or analog communication signals. Instructions can be sent or received over a network using a transmission medium via a network interface device. "Client device" means any machine that interfaces with a communication network to obtain resources from one or more server systems or other client devices. Client devices can be, but are not limited to, mobile phones, desktop computers, laptop computers, PDAs, smartphones, tablet computers, ultrabooks, netbooks, laptops, multiprocessor systems, microprocessor-based or programmable consumer electronics, game consoles, STBs, or any other communication device that a user can use to access the network.

[0206] "Communication network" refers to one or more parts of a network, which can be an ad hoc network, intranet, extranet, VPN, LAN, WLAN, WAN, WWAN, MAN, the Internet, a part of the Internet, a part of the PSTN, POTS network, cellular telephone network, wireless network, Wi-Fi® network, other types of network, or a combination of two or more such networks. For example, a network or part of a network may include a wireless network or a cellular network, and the coupling may be a CDMA connection, a GSM connection, or other types of cellular or wireless coupling. In this example, the coupling can implement any data transmission technology of various types, such as 1xRTT, EVDO technology, GPRS technology, EDGE technology, 3GPP, UMTS, HSPA, WiMAX, LTE standards including 3G and 4G networks, other data transmission technologies defined by various standards setting organizations, other long-distance protocols, or other data transmission technologies.

[0207] Components can constitute software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and can be configured or arranged in some physical manner. In various examples, one or more computer systems (e.g., standalone computer systems, client computer systems, or server computer systems) or one or more hardware components (e.g., processors or processor groups) of a computer system can be configured by software (e.g., an application or application portion) to operate to perform certain operations described herein.

[0208] Hardware components can also be implemented mechanically, electronically, or in any suitable combination thereof. For example, a hardware component may include a dedicated circuit system or logic permanently configured to perform certain operations. A hardware component may be a dedicated processor, such as an FPGA or ASIC. A hardware component may also include programmable logic or a circuit system temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, the hardware component becomes a specific machine (or a specific part of a machine) uniquely tailored to perform the configured function, and is no longer a general-purpose processor. It will be understood that the implementation of a hardware component may be determined, for cost and time considerations, in a temporarily configured (e.g., software-configured) circuit system or in a dedicated and permanently configured circuit system, either mechanically or physically. Therefore, the phrase “hardware component” (or “hardware-implemented component”) should be understood to encompass tangible entities that are physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate or perform certain operations described herein.

[0209] The various operations of the example methods described herein can be performed at least in part by one or more processors, which are temporarily (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors can constitute components of a processor implementation that operates to perform one or more of the operations or functions described herein.

[0210] Changes and modifications may be made to the disclosed examples without departing from the scope of this disclosure. Such and other changes or modifications are intended to be included within the scope of this disclosure as set forth in the appended claims.

Claims

1. A method comprising: Receive multiple textures associated with an object, each of the multiple textures corresponding to a different view of the object; The initial 3D model is automatically generated based on the initial alignment of the multiple textures to the corresponding parts of the initial 3D model of the object; Receive input of the initial alignment that adjusts the plurality of textures to corresponding portions of the initial 3D model to provide a corrected 3D model; The multiple textures are combined into a single texture based on the input of the initial alignment of the multiple textures, and the single texture defines the visual attributes of the object from multiple views; as well as The modified 3D model is stored in association with the single texture.

2. The method according to claim 1, wherein, The object represents a fashion item.

3. The method according to any one of claims 1 to 2, further comprising: Obtain a specific 3D model of the object; Initialize the UV mapping between each of the plurality of textures and the corresponding portion of the particular 3D model to provide the initial 3D model; The UV mapping is refined based on the received input; as well as The single texture is generated based on the refinement of the UV mapping.

4. The method according to claim 3, wherein, The initial 3D model has a separate UV mapping for each of the plurality of textures, and a blending map that associates each surface location of the initial 3D model with one or more of the plurality of textures.

5. The method according to any one of claims 1 to 4, further comprising: A blending map is automatically generated for each surface location of the initial 3D model, the blending map defining the amount of one or more textures associated with each surface location.

6. The method according to claim 5, further comprising: A UV map is automatically generated for each surface location of the initial 3D model, the UV map defining which of the plurality of textures is used for the surface location.

7. The method according to any one of claims 1 to 6, further comprising: Associating a first weight with a single surface location of the initial 3D model, the first weight representing a first quantity of a first texture among the plurality of textures; The second weight is associated with the individual surface location of the initial 3D model, and the second weight represents a second quantity of the second texture among the plurality of textures; as well as The first weight and the second weight are stored in the hybrid graph in association with the individual surface locations.

8. The method according to claim 7, wherein, The sum of the first weight and the second weight corresponds to the value 1.

9. The method according to any one of claims 1 to 8, further comprising: Select the first texture from the plurality of textures; Determine the individual view associated with the first texture; Generate a first binary image of the first texture; Generate a second binary image of the view of the object corresponding to the individual view; as well as Contour key points are identified by matching the first binary image and the second binary image.

10. The method of claim 9, further comprising: The UV transformation between the first texture and the view of the object is determined based on the contour key points.

11. The method according to any one of claims 1 to 10, further comprising associating the first texture with a view of the object based on the UV transformation.

12. The method according to any one of claims 1 to 11, further comprising: A transformation function is generated based on the input to deform the initial 3D model.

13. The method according to claim 12, wherein, The transformation function includes the Thin Plate Spline (TPS) transformation.

14. The method according to any one of claims 1 to 13, further comprising: The initial 3D model is presented as a view in the user interface, and the input is received via the user interface; Determine that the input corresponds to stretching, shrinking, or changing the position of the texture currently being viewed in the user interface; and The input is applied to the transformation function to smoothly deform the view of the initial 3D model.

15. The method according to any one of claims 1 to 14, further comprising: Select the view of the initial 3D model; Obtain the viewpoint direction associated with each of the plurality of textures; as well as For each surface point of the initial 3D model corresponding to the selected view, a pixel value is calculated as a function of the dot product between the surface point and the view direction of each of the plurality of textures.

16. The method of claim 15, further comprising: Present a view of the initial 3D model in the user interface; The input is a request to change the association of individual surface points of the initial 3D model from a first texture of the plurality of textures to a second texture of the plurality of textures; as well as The blending graph and UV graph are updated based on the request to change the association.

17. The method according to any one of claims 1 to 16, wherein, A pen cursor is used to receive the request, the pen cursor marking the area of ​​the initial 3D model to be changed.

18. The method according to any one of claims 1 to 17, wherein, The initial 3D model is generated using a convolutional neural network (CNN), which is trained by performing training operations including: Access training data, which includes training textures and training 3D models of objects, and ground truth alignments from the training textures of the objects to the training 3D models; Analyze the training textures to estimate the mapping from the training textures to the trained 3D model; Calculate the deviation between the estimated mapping of the training texture to the training 3D model and the ground truth alignment; and The calculated bias is used to update one or more parameters of the CNN.

19. A system comprising: At least one processor; as well as At least one memory component thereon stores instructions that, when executed by the at least one processor, cause the at least one processor to perform operations, the operations including: Receive multiple textures associated with an object, each of the multiple textures corresponding to a different view of the object; The initial 3D model is automatically generated based on the initial alignment of the multiple textures to the corresponding parts of the initial 3D model of the object; Receive input of the initial alignment that adjusts the plurality of textures to corresponding portions of the initial 3D model to provide a corrected 3D model; The multiple textures are combined into a single texture based on the input of the initial alignment of the multiple textures, the single texture defining the visual attributes of the object from multiple views; and The modified 3D model is stored in association with the single texture.

20. A non-transitory computer-readable storage medium having instructions stored thereon, the instructions causing the at least one processor to perform operations when executed by the at least one processor, the operations including: Receive multiple textures associated with an object, each of the multiple textures corresponding to a different view of the object; The initial 3D model is automatically generated based on the initial alignment of the multiple textures to the corresponding parts of the initial 3D model of the object; Receive input of the initial alignment that adjusts the plurality of textures to corresponding portions of the initial 3D model to provide a corrected 3D model; The multiple textures are combined into a single texture based on the input of the initial alignment of the multiple textures, and the single texture defines the visual attributes of the object from multiple views; as well as The modified 3D model is stored in association with the single texture.

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