25 results about "Design styles" patented technology

The invention provides a design style intelligent recommendation and generation method and system based on user preferences, and relates to the technical field of design styles, and the method comprises the steps: constructing a user preference feature vector; analyzing a user preference evolution rule, and generating a user preference evolution curve; calculating the time sequence correlation degree between the icon design features and the user preference features, and constructing a resonance scoring matrix; designing an adaptive resonance threshold screening model based on the resonance scoring matrix; creating an initial icon design scheme by using a deep generative adversarial network; and optimizing the design parameters through transfer learning and deep reinforcement learning, and outputting a personalized icon design recommendation scheme. According to the method, intelligent recommendation and generation of icon design can be realized, and the design efficiency and the user satisfaction are improved.

The invention discloses a material attribute acquisition method and system based on a large language model and a BIM, and relates to the technical field of digital intelligent buildings. The method comprises the steps that building model information is acquired from a BIM platform, and the building model information comprises component types, component names, component material names, design styles and color preferences; selecting a matched format template according to the building model information, and generating a cue word text containing key information; the cue word text is analyzed and mapped based on a large language model, detailed attribute description about component materials is obtained, and the detailed attribute description comprises RGB color values, transparency, roughness, metallicity and specular reflection intensity; the detailed attribute description of the component material is applied to the model display of the BIM platform, and the corresponding display effect picture is previewed, generated and exported, so that the working efficiency and quality of endowing the building model component with the material are improved, and the flexibility and automation degree of the design process are improved.

The invention relates to the technical field of artificial intelligence, in particular to an art design style migration system based on deep learning, which comprises an image perception analysis module, a style constraint calculation module, a detail structure mapping module, a scale corresponding screening module and a region fusion regulation and control module. According to the method, the texture, the structure and the edge features of the image are accurately analyzed, key details and structure areas are identified, so that the flexibility of style migration is improved, style application is more accurate, the problem of excessive stylization or content imbalance is avoided, the spatial features of the content areas are effectively identified by analyzing the detail structure levels of the image, and the image quality is improved. The method comprises the following steps of: selecting and matching an optimal style domain according to a scale corresponding relation, enhancing multi-scale style adaptability, improving expressive force of an image under multi-style conversion, ensuring natural fusion of contents and styles, improving a visual effect and keeping harmony between the styles and original contents, and ensuring the accuracy of style mapping, screening and matching an optimal style domain according to a scale corresponding relation.

The invention discloses a three-dimensional teaching resource integration system for environmental art design, and the system comprises a data receiving module which collects line features, color features and material features in an environmental art design picture; the style disassembling module is disassembled into a straight line gene unit, a curve gene unit, a dominant hue gene unit, a saturation gene unit and a luminosity gene unit; the style matching module is used for calculating the style identification entropy value of each gene unit and matching a preset style matrix; the learning path recommendation module is used for generating a curriculum schedule according to the matched preset style matrix; and the visualization module is used for visually displaying the preset style label corresponding to the matched preset style matrix and the curriculum schedule. Therefore, the accuracy of environmental art design style recognition can be improved, the curriculum schedule is recommended based on the style matching result, so that the learning path better conforms to the learning requirements of students for specific design styles, and the students can conveniently and visually obtain information through the visual association style label and the curriculum schedule.

The invention discloses a method for artistic reutilization and redesign of building waste material resources, and the method constructs a diffusion generation model for artistic redesign based on a building waste multi-modal data set combining vision and language. The model mainly comprises an image text coding module, a diffusion generation module and a request coding module. According to the method, building waste materials serve as elements to be input, multi-modal data is combined with artistic design styles and design requirements, and a brand-new building waste artistic work generation mode is provided through a diffusion generation model. Simulation experiment results show that different types of building waste materials can be flexibly applied through the generative artificial intelligence technology, and corresponding artistic works are generated in combination with various artistic design styles and design requirements. The innovative method not only provides a new thought and tool for artistic creation, but also provides effective technical support for recycling management and sustainable utilization of building waste materials, and is beneficial to further promotion of cyclic utilization of resources and ecological sustainable development.

The invention relates to the technical field of image analysis, and discloses a building decoration image analysis method and system, and the method comprises the steps: carrying out the visual analysis processing of an inputted building decoration image, and extracting and quantifying an aesthetic feature vector from the overall visual performance; then, constructing an associated database of aesthetic feature vectors and decoration element labels, and performing neighbor matching in the database according to the extracted aesthetic feature vectors to obtain the closest aesthetic feature vectors of the professional gallery images; and finally, inversely solving a decoration element combination rule according to a neighbor matching result, and generating a corresponding decoration element combination suggestion. According to the method, limitation of a traditional method on discrete element identification and co-occurrence frequency statistics is broken through through deeper aesthetic feature analysis, so that redefinition of a relationship between elements in design style evolution and change of an overall atmosphere created by the redefinition are better captured; and a more prospective and personalized design reference is provided for a designer.

A system is provided.SOLUTION: A system comprising: means for receiving a picture of a room taken by a user; means for analyzing the picture to recognize room features, existing furnishings, colors, and lighting arrangements; means for collecting information about a user's preferred design styles and color palettes; means for generating a personalized interior design suggestion based on the room features and user preferences; and means for 3D modeling and displaying the interior design suggestion to the user.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of interior design, and particularly relates to an intelligent beautifying and adjusting system for interior design, which comprises a house type acquisition module for acquiring the structure and size of a house type; the construction module is used for constructing a three-dimensional model according to the data acquired by the house type acquisition module; the region division module is used for carrying out region division according to the constructed three-dimensional model; the style design module is used for formulating an optimal scheme according to the set decoration style; the house type acquisition module is connected with the construction module, and the construction module is connected with the region division module. By arranging the house type acquisition module, the construction module, the region division module and the style design module, other design styles matched with part of the design styles can be correspondingly selected according to the part of the design styles so as to realize intelligent beautification and adjustment of the decoration styles, so that the design efficiency can be improved to a certain extent, and the time can be saved to a certain extent.

The application discloses a method for artistic recycling and redesign of construction waste material resources, which is based on a multi-modal data set of construction waste combining vision and language, and constructs a diffusion generation model for artistic redesign. The model mainly includes an image-text encoding module, a diffusion generation module, and a request encoding module. By inputting construction waste materials as elements, combining multi-modal data with artistic design styles and design requirements, and using the diffusion generation model, a new generation method of artistic works of construction waste is provided. The simulation experiment results show that the generative artificial intelligence technology can flexibly use different types of construction waste materials, and generate corresponding artistic works by combining various artistic design styles and design requirements. This innovative method not only provides new ideas and tools for artistic creation, but also provides effective technical support for the recycling management and sustainable utilization of construction waste materials, and helps to further promote the recycling of resources and ecological sustainable development.

The present invention provides a method and system for designing a website building for a mini-program front-end page, and relates to the technical field of mini-program website building, including extracting semantic elements and target requirements based on website building requirements and design styles input by users, and generating a mini-program component recommendation scheme; based on a multi-objective optimization algorithm, by iteratively optimizing a combination of design elements, generating layout style schemes for multiple mini-program front-end pages, extracting topological relationships and semantic dependencies, constructing a graph structure page representation vector, iteratively optimizing the layout style scheme, and obtaining an optimal layout style scheme; adopting a dynamic component construction method, by parsing a page layout structure diagram, identifying UI elements, and automatically mapping them into corresponding program components, combining a context-aware component recommendation mechanism, dynamically recommending and rendering optimized mini-program components according to the functional semantics of the page and the user's interaction intention, and combining an incremental learning algorithm to finally form a customized mini-program front-end page website building design scheme.

The invention discloses an AI-based gas station design style rapid conversion method and device, belongs to the technical field of building design, and particularly relates to rapid conversion of gas station (building) design styles. The problems that in the prior art, the designed building style needs to be modified, modeling needs to be conducted again to adjust the style, time and labor are consumed, and the drawing period is long are solved, and the problems that traditional design rendering is higher in dependence on people, the output effect is directly affected by personal aesthetic preference of designers, the limitation of the style is difficult to break through, and thinking imagination is limited are solved. The method comprises the following steps: performing structure locking, style migration and local optimization on an original design drawing in stages according to a style reference drawing, and generating a final effect image and modifying a record file. The AI-based gas station design style rapid conversion method and device are suitable for rapid conversion of gas station (building) design styles.

This disclosure relates generally to a method and system for designing style based ai applications. Available methods have limitations in creating robust co-creative technology solutions or platforms which exploit different aspects of style in content creation. The disclosed method explores and evaluates the existing AI technologies for style related problems like generating and customizing new artworks in the artistic styles of an artwork or an artist. The method utilizes a conceptual model and a process model. The conceptual model includes different aspects of knowledge such as style specification, style transformation, AI technologies, process evaluation, and artifact quality evaluation that facilitate appropriate design choices for a technology solution concerning a particular application. This static knowledge is applied through a dynamic process in the form of the process model.

In some embodiments, a computer-implemented method comprises: receiving an indication of a particular design style; determining, based on the indication, functional product groups that comprise a plurality of custom products having indicia of the particular design style; initiating a collaboration session between a user and one or more collaborators to allow selecting one or more particular custom products; in response to receiving a selection of the particular custom products, generating a group of customized products comprising the one or more particular custom products, each particular customized product associated with a product type of a plurality of product types, each product type of the plurality of product types associated with a manufacturing constraint of multiple manufacturing constraints, each particular customized product having shared content that all of the one or more particular custom products share; obtaining manufacturing methods for manufacturing the customized particular products; and proceeding to manufacturing.

The invention discloses an intelligent costume design system and method, and relates to the technical field of costume design, the system comprises a design system body, and the design system body comprises a database module, a design style module, a design element module, a selection module, an intelligent learning module, an automatic design module and an adjustment feedback module. According to the invention, through mutual cooperation of the database module, the design style module, the design element module, the selection module, the intelligent learning module, the automatic design module and the adjustment feedback module, matching is directly carried out according to ideas of designers, matching results are diversified, thinking is more exploited, and it is ensured that designed clothes are understood based on the designers; according to the method, the creativity of a designer is better expressed, the designed sample drawings are diversified, and the matching mode of styles and elements is fully considered, so that the design is more comprehensive, the selectivity is more, the mental loss of the designer is reduced, and the designer has a lot of time to enrich the design idea of the designer.

To solve the problems of recommendation of furniture and an ornament in consideration of preference of a user, and the size and the shape of a room, virtual interior arrangement utilizing an augmented reality (AR) technique, and coordinate proposal based on a trend and a design style.SOLUTION: An advisory system of interior coordination includes: means recommending furniture and an ornament in consideration of preference of a user, and the size and the shape of a room; means for arranging and confirming virtual interior by utilizing an augmented reality (AR) technique in an actual room; and proposing a coordinate based on a trend and a design style.SELECTED DRAWING: Figure 1

The application discloses a kind of high fidelity style reference relationship cognitive enhancement methods for collaborative intelligent agent and related devices, wherein the method comprises: generating design context vector according to fine-grained interactive behavior flow and the structure metadata of current design document;According to the design context vector, a dynamically evolving design cognitive ontology is constructed, and an initial design cognitive graph is constructed according to the design cognitive ontology and cross-document reference link;The initial design cognitive graph is input into the comparative graph neural network and causal reasoning network model to identify implicit style reference and design intent, and output high-order reference relationship graph with intent label and confidence;According to the high-order reference relationship graph, the origin node and evolution tree of the design element, the use context and team consensus intensity score are dynamically presented.The application realizes the systematic representation and organization of design style knowledge, improves the accuracy of design style reference relationship identification, dynamically analyzes and predicts the evolution trend of design style, and provides support for design decision.

The invention discloses an application program generation method and device, a medium, electronic equipment and a program product, and relates to the technical field of computers.The method comprises the steps that a first user request used for indicating generation of an application program is determined, a first design product used for assisting in generation of the application program is determined, and the first design product used for assisting in generation of the application program is determined; the first design product is selected from historical design products, the historical design products are design products used when source codes corresponding to historical application programs are generated, then based on the first design product and the first user request, a second design product of the application programs is generated, and based on the second design product, the source codes corresponding to the application programs are generated. According to the method, the historical design products can be reused, the utilization rate of the design products is increased, and uniform design styles among the generated application programs can be guaranteed.

The utility model discloses an architectural design drawing device, which relates to the technical field of architectural design and comprises a bottom plate with semi-arc side walls at two ends, continuous carbon paper components are movably connected to two ends of the bottom plate through central shafts in a penetrating manner, and one end of each continuous carbon paper component is connected with a winding driving component. The winding driving part can drive a carbon paper winding shaft of the continuous carbon paper part to rotate, the winding driving part automatically winds the continuous carbon paper part, the winding end pulls the unwinding end to unwind, and a drawing face is fixed to the top of the bottom plate. According to the utility model, the carbon paper winding shaft is used for winding the duplicating surface, so that the duplicating surface pulls the carbon paper unwinding shaft to unwind and form a new duplicating surface, a pattern modified by a designer can be conveniently recorded, after the designer completes design, design styles before and after the pattern is modified can be rewound, and the pattern before and after the pattern is modified can be conveniently and intuitively compared; and the finalizing construction period of pattern design can be saved.

The invention provides a city design generation assisting method and device. The city design generation assisting method comprises the following steps that S1, an existing design scheme of a designated designer is collected to generate an original image-planning image pair; s2, calculating multiple urban design morphological parameters of the regional planning image, and classifying the regional original image to obtain a classification result; s3, clustering is carried out according to the urban design morphological parameters and the classification result, and a plurality of design style preferences are obtained; s4, constructing a training data set of each design style preference; s5, training according to the training data set to obtain a style design model; step S6, selecting an optimal design style preference; s7, inputting the image of the to-be-planned area into the style design model corresponding to the optimal design style preference to obtain an initial design drawing; and S8, performing multi-objective optimization on the initial design drawing to obtain an auxiliary design drawing. In a word, the method can generate the regional planning design drawing with the style preference of a specified designer.

The application relates to the technical field of computer front-end development, and discloses a page style processing method and device, electronic equipment and a storage medium, which comprise the following steps: obtaining design analysis data of a target interface; identifying the component semantic type of a target element in the design analysis data, and determining a target front-end component corresponding to the target element according to the component semantic type; performing conflict evaluation on the design analysis data based on the native interaction logic style of the target front-end component, and determining static conflict attributes; filtering and extracting visual attributes between the target element and the target front-end component according to the static conflict attributes, and obtaining target incremental styles; and fusing the target incremental styles with underlying codes of the target front-end component to generate page layout codes. The application can be applied to financial and medical informationization data page construction scenes, and can avoid the technical problems of invalidation of component interaction logic and dislocation and shielding of interface layout caused by direct covering of static design styles on native interaction states of front-end components.

The application relates to the technical field of image analysis, and discloses a building decoration image analysis method and system, which extracts and quantifies an aesthetic feature vector from overall visual performance by performing visual analysis and processing on an input building decoration image. Subsequently, an association database of the aesthetic feature vector and decoration element labels is constructed, and a nearest neighbor matching is performed in the database according to the extracted aesthetic feature vector to obtain the aesthetic feature vector of the closest professional gallery image. Finally, a decoration element combination rule is inversely solved according to the nearest neighbor matching result, and a corresponding decoration element combination suggestion is generated. The application aims to break through the limitations of traditional methods on discrete element recognition and co-occurrence frequency statistics by deeper analysis of aesthetic features, so as to better capture the redefinition of the "relationship" between elements in the evolution of design styles and the changes in the "overall atmosphere" created thereby, and provide designers with more forward-looking and personalized design references.

The application provides a kind of urban design generation auxiliary method and device, including the following steps: step S1, the existing design scheme generation original image-planning image pair of specified designer is collected;Step S2, the multiple urban design form parameters of regional planning image are calculated, and the classification result is obtained by classifying regional original image;Step S3, clustering is carried out according to urban design form parameters and classification result, and multiple design style preferences are obtained;Step S4, the training data set of each design style preference is constructed;Step S5, style design model is obtained by training according to training data set;Step S6, the optimal design style preference is selected;Step S7, the image of the region to be planned is input into the style design model corresponding to the optimal design style preference to obtain the initial design drawing;Step S8, auxiliary design drawing is obtained by multi-objective optimization on the initial design drawing.In short, the method can generate regional planning design drawing with specified designer style preference.

Systems, methods and non-transitory computer readable media for generation of user interfaces from natural language inputs are provided. In some examples, an input in a natural language associated with a desire of an individual to create a new user interface may be received. Further, an indication of a particular design style that includes affinity associated with distances between elements may be obtained. At least two user interface elements may be obtained. The input in the natural language may be analyzed to obtain a layout for the at least two user interface elements based on the particular design style that includes the affinity associated with distances between elements. A particular draft of the new user interface that includes the at least two user interface elements based on the layout may be generated and presented.

The invention discloses a virtual space design teaching auxiliary tool for intelligent evaluation and feedback, and belongs to the field of teaching. The virtual space design teaching auxiliary tool comprises a virtual space design module, an intelligent evaluation module, a real-time feedback and interaction module and a learning recording and growth analysis module. The intelligent evaluation module is based on industrial standards of spatial design, AI can analyze spatial layout, color matching and light arrangement, quantitative scores and quality evaluation are provided for students, and the integrating degree of design styles and project requirements can be detected. According to the scheme, a comprehensive intelligent evaluation module is provided by integrating an AI technology, data analysis and virtual space design. The module not only can quantify scores, but also can generate targeted design improvement suggestions, thereby helping students to improve the design ability and optimize the learning experience, and finally promoting the innovation and development of space design education.

The invention relates to the technical field of large models, in particular to a UI design style optimization method and system based on a large model, and the method comprises the following steps: inputting, feature extraction, style analysis, optimization and outputting. The method has the beneficial effects that the design style is automatically optimized, and the time and energy of manual adjustment are reduced. Through analysis and optimization of a large model, the consistency and speciality of design styles are ensured. And even non-professional designers can easily realize conversion and optimization of design styles. And the user can quickly adjust the design style according to own requirements to obtain a better design result.