13 results about "Design styles" patented technology

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 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 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.

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.

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.

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 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 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.