246 results about "General purpose computer" patented technology

A method, apparatus, non-transitory computer readable medium, apparatus, and system for image generation include obtaining a sketch input depicting an object, processing the sketch input to obtain sketch guidance, and generating a synthesized image based on the sketch guidance using an image generation model, where the synthesized image depicts the object from the sketch input.

The present disclosure presents systems, methods, and non-transitory computer-readable media for transforming civil, architectural, or engineering drawings into Building Information Modeling (BIM) or Computer-Aided Design (CAD) models. One such method comprises training an artificial intelligence algorithm on a collection of 2D civil and architectural blueprint designs to enable the artificial intelligence algorithm to efficiently extract elements from the blueprint designs and map them into 3D data model objects; creating a 3D data model using the trained artificial intelligence algorithm, from an input collection of 2D blueprint designs; creating a project database by adding metadata from the input collection of 2D blueprint designs; generating a database of code rules and regulations; performing, using the project database, and the database of code rules and regulations, a compliance check to determine if the 3D data model complies with the database of code rules and regulations; and presenting results of the compliance check.

Systems, methods, and non-transitory computer readable media including instructions for managing privacy in an extended reality environment are disclosed. The instructions include receiving image data of a physical environment from an image sensor associated with a wearable extended reality appliance; accessing data characterizing virtual objects in the physical environment, the data representing a first and a second virtual object; accessing privacy settings classifying a first physical location of the first virtual object as private, classifying a first appliance as approved for presenting private information, and classifying a second appliance as non-approved for presenting the private information; and based on the privacy settings, simultaneously enabling a presentation of an augmented viewing of the physical environment, such that the first appliance presents the first and the second virtual objects in the physical environment, and the second appliance presents the only second virtual object, in compliance with the privacy settings.

A method, apparatus, non-transitory computer readable medium, and system for image generation include obtaining, via a user interface, a reference image and generating, using an image generation model, a synthesized image based on the reference image. A layered image is generated including the synthesized image in a first layer of the layered image and the reference image in a second layer of the layered image. The layered image is then presented for display in the user interface.

An object of the present disclosure is to provide a camera control apparatus, a control method, and a non-transitory computer readable medium which are capable of, even when a plurality of authentication targets are detected, sequentially capturing images of the plurality of authentication targets efficiently in a short time. A camera control apparatus according to the present disclosure includes: detection means for detecting a plurality of authentication targets from an image obtained by capturing a nearby environment; area determination means for determining, for each of the plurality of authentication targets, a part of the image including the authentication target as an area; state determination means for determining a state of the image of each of a plurality of the areas; order determination means for determining an order in which images of the plurality of authentication targets are captured.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that recolors a digital design according to colors of a digital image and further generates an enhanced recolored digital design. In particular, in some embodiments, the disclosed systems identify a digital image for recoloring a digital design and recolors the digital design utilizing a color affine transformation algorithm to generate a recolored digital design. Further, in some embodiments, the disclosed systems generate the enhanced recolored digital design by transforming one or more colors of the recolored digital design to be within a range of the colors of the digital image utilizing a convex hull projection method. Moreover, in some embodiments, the disclosed systems further enhance the recolored digital design utilizing a contrast enhancement algorithm to modify luminescence values.

Described herein are machine learning based system, method, and non-transitory computer readable medium for determining three-dimensional (3D) information of a structure of a patterned substrate. The 3D information can be determined using a neural network to convert a two-dimensional image to a 3D image. In a method, the neural network is trained by supplying simulated images of a sample with varied parameters to model a real fabricated IC structure. The trained network generates a depth map from newly supplied images of a sample to predict defect location The depth map may be converted to a binary map to predict defect dimension and location that may be used to guide inspection of a sample using an inspection tool.

The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating context engine outputs by utilizing an interpreter purpose-built to execute code generated by large language models. For example, the disclosed systems generate computer code executable for responding to a query by utilizing a large language model. In addition, the disclosed systems execute the model-generated computer code utilizing an interpreter integrated with the context engine that further includes swappable logic interchangeable across multiple executors. Moreover, the disclosed systems can further generate as part of executing the computer code utilizing the interpreter, a first context engine output by implementing the interpreter at a first executor. Additionally, the disclosed systems can further generate a second context engine output by implementing the interpreter at a second executor.

A method, communication device and non-transitory computer storage media configured for reporting sensing, where sensing data corresponding to a sensing service is reported based on information on a sensing policy. The sensing data indicates features of a sensed object. Reporting involves a control plane network function, which includes access and mobility management function (AMF), session management function (SMF), and policy control function (PCF). The sensing policy may define various aspects such as service type, object type, data collection manner and frequency, and reporting parameters. Sensing data can be raw or processed, and services may be triggered by applications or network functions. Information on the sensing policy is received during network registration or after service triggering.

A method, an apparatus and a non-transitory computer-readable storage medium for flight route planning for an aerial vehicle are provided, which generates a plurality of flight routes based on a starting position, an ending position, a total mileage limit, and a minimum network coverage rate. A feature score is given to the total mileage and the network coverage rate of each flight route. A total score is then calculated by using a mathematical relationship between the feature scores for total mileage and network coverage rate. The flight route with the highest total score is determined as the optimal flight route.

Systems, methods and non-transitory computer readable media for attributing generated visual content to training examples are provided. A first visual content generated using a generative model may be received. The generative model may be associated with a plurality of training examples. Each training example may be associated with a visual content. Properties of the first visual content may be determined. Each visual content associated with a training example may be analyzed to determine properties of the visual content. The properties of the first visual content and the properties of the visual contents associated with the plurality of training examples may be used to attribute the first visual content to a subgroup of the plurality of training examples. The visual contents associated with the training examples of the subgroup may be associated with a source. A data-record associated with the source may be updated based on the attribution.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate digital materials from digital images using a diffusion neural network. For instance, in one or more embodiments, the disclosed systems receive a digital image portraying a scene to be replicated as a digital material. The disclosed systems also generate, using a conditioning neural network, a spatial condition from the digital image. Using a controlled diffusion neural network and based on the spatial condition, the disclosed systems generate a plurality of material maps corresponding to the scene portrayed by the digital image.

A method, network node and non-transitory computer readable media having stored thereon instructions for correlating a remote attestation quote with a virtualized network function (VNF) resource allocation event. The method comprises obtaining a set of VNF components (VNFCs) that require remote attestation. The method comprises obtaining an attestation quote for each VNFC of the set of VNFCs, the attestation quote ensuring that instances of each VNFC are used in a legitimate context. The method comprises correlating each attestation quote with the VNF resource allocation event.

Head mountable systems, methods, and non-transitory computer readable media including instructions for identifying individuals using facial skin micromovements are disclosed. An example head mountable system may include a wearable housing, a coherent light source, a detector, and at least one processor. The at least one processor may analyze reflection signals from the detector to determine specific facial skin micromovements of an individual wearing the head mountable system. Thereafter, the at least one processor may access memory correlating a plurality of facial skin micromovements with the individual, and search for a match between the determined specific facial skin micromovements and at least one of the plurality of facial skin micromovements in the memory. If a match is identified, the processor may initiate a first action; and if a match is not identified, the at least one processor may initiate a second action different from the first action.

Provided are a method, system, and non-transitory computer-readable medium for real-time autonomous path planning for a robotic device. The method includes receiving data about the robotic device in a three-dimensional workspace, encapsulating objects in the environment of the robotic device including the robotic device, a target, and one or more obstacles in simulated robotic space, calculating a direction of movement for the robotic device according to three virtual forces including a virtual attractive force, a virtual repulsive force, and a virtual tangential force acting at least partially perpendicularly relative to the virtual repulsive force, mapping each virtual force in the three-dimensional workspace into torque vectors in the simulated robotic space at each joint, converting a sum of the torque vectors into one or more commands for the robotic device defining a path to reach the target, and sending the one or more commands to the robotic device.

An action detection system (10) includes an action specification unit (18) configured to start specification of at least one action ID based on at least part of skeleton information extracted from video data that is a captured video of a user in response to detection of the user visiting checkout machine determined in advance, a determination unit (20) configured to determine whether or not an action sequence including the specified at least one action ID corresponds to registration action sequences registered in advance, and a processing control unit (21) configured to execute processing determined in advance in accordance with a determination result.

To provide a mechanism capable of easily inserting an AI image generated by a desired keyword into a desired area of an image.SOLUTION: A CPU 170 of a general-purpose computer 102 designates an area into which an AI image is inserted in a document on the basis of a vector 305 when the vector is inputted in a document image being displayed by a user. After that, the CPU 170 displays a window, an AI image generation request including a keyword 306 is transmitted to an image generation server 101 when the keyword 306 of the AI image is inputted to the window by a user, acquires an AI image generated by inputting the keyword 306 to a learned model 164 from the image generation server 101, and inserts the acquired AI image into the designated area in the document.SELECTED DRAWING: Figure 2

Remote deposit of checks can be facilitated by a financial institution. A customer's general purpose computer and image capture device may be leveraged to capture an image of a check and deliver the image to financial institution electronics. Additional data for the transaction may be collected as necessary. The transaction can be automatically accomplished utilizing the images and data thus acquired.

One or more aspects of a method, apparatus, and non-transitory computer readable medium include obtaining an input latent vector for an image generation network and a target lighting representation. A modified latent vector is generated based on the input latent vector and the target lighting representation, and an image generation network generates an image based on the modified latent vector using.

An authorization server, method, and non-transitory computer readable medium for generating and managing at least one access token associated with a client. The authorization server may include a memory configured to store computer readable instructions; and processing circuitry configured to execute the computer readable instructions to cause the authorization server to, compute an encryption key based on information associated with a user session, embed the encryption key into the at least one access token, map, within a database, the at least one access token to an access token handle associated with the client, return the access token handle to the client, and selectively provide the access token to at least one web Application Programming Interface (API) in response to receipt of the access token handle from the at least one web API.

Disclosed are systems, methods, and non-transitory computer-readable storage media for setting a reminder triggered by a target device. A requesting device sends a request to a server to set a notification triggered by a target device. The request includes parameters, such as a location and a condition that define when the notification is triggered. The server sends instruction to the target device to set the notification based on the parameters. When the condition such as arrival is met by the target device in relation to the location the target device sends a message to the server that the notification has been triggered. The target device can set a geo-fence to determine the position of the target device in relation to the location, and the requesting user can dictate the size of the geo-fence. The server sends a message to the requesting device that the notification has been triggered.

A device, system, and non-transitory computer readable medium for providing a specialized agent comprising an application and a virtual assistant are disclosed. The virtual assistant includes a neural network trained with a machine learning algorithm to emulate a communication style of a character and wherein the virtual assistant is further trained on application metadata to a predict response to questions about the application.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for combining digital images. In particular, in one or more embodiments, the disclosed systems combine latent codes of a source digital image and a target digital image utilizing a blending network to determine a combined latent encoding and generate a combined digital image from the combined latent encoding utilizing a generative neural network. In some embodiments, the disclosed systems determine an intersection face mask between the source digital image and the combined digital image utilizing a face segmentation network and combine the source digital image and the combined digital image utilizing the intersection face mask to generate a blended digital image.

Devices, methods, and non-transitory computer readable storage mediums for the seamless transition of subject into an image or scene are disclosed. The methods include obtaining a first image of a scene, the first image including at least a first subject. A first alpha mask is generated for the first image based on an image segmentation operation. A depth map is generated for the first image, and a foreground depth is determined for the scene. A second alpha mask is generated by modifying the first alpha mask based, at least in part, on comparisons between values in corresponding portions of the depth map and the determined foreground depth. The second alpha mask modifies an opacity of at least some portions of the first image corresponding to the location of the first subject.

Disclosed in the present application are an image acquisition method, an imaging apparatus, an electronic device, and a non-transitory computer-readable storage medium. The image acquisition method includes: controlling exposure of a pixel array; and performing an interpolation process on a first colored original image and a second colored original image according to a first panchromatic original image, and fusing an interpolated image and the first panchromatic original image to obtain a target image with same resolution as resolution of the pixel array.

A system, a method and a non-transitory computer readable storage medium for base calling are described. The base calling method includes processing through a neural network first image data comprising images of clusters and their surrounding background captured by a sequencing system for one or more sequencing cycles of a sequencing run. The base calling method further includes producing a base call for one or more of the clusters of the one or more sequencing cycles of the sequencing run.