547 results about "Graphic design" patented technology

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital designs utilizing a diffusion neural network to preserve readability and design composition while modifying image content background images and design assets. In some embodiments, the disclosed systems access a text prompt defining visual attributes of a digital design. Furthermore, the disclosed systems generate a modified text prompt by replacing chromatic information within the text prompt. Additionally, the disclosed systems determine an adaptive strength for a diffusion neural network from the text prompt. Also, the disclosed systems generate a modified digital design utilizing the diffusion neural network to process the modified text prompt according to the adaptive strength.

A data processing system implements receiving a user marking of a textual area in a graphic design image; constructing a prompt including the image, the marking, and instructions to a generative model to identify character(s) in the area, to determine design context attribute(s) of the character(s) with respect to the image, and to create a new image based on one changed design context attribute, the attribute(s) including a character design and semantics of the character(s), and a position of the area in the image; providing the prompt to the model and receive the character(s), the attribute(s), and the new image; providing the character(s), the attribute(s), and the new image to a client device; and causing the client device to display at least one of the new image or an editable text box over the area in the image, the box showing the character(s) based on the attribute(s).

In one aspect, a computerized method of automatically generating suggestions for a graphic design using a one click virtual button using an artificial-intelligence (AI) assistant for generating one or more contextually relevant graphics designs includes the step of receiving a digital design in a digital design tool. The digital design tool comprises the one click virtual button using the AI assistant for generating the one or more contextually relevant graphic designs. The method includes the step of detecting an event trigger for the one click virtual button. The method includes the step of with the AI assistant. The AI assistants operations includes determining and suggesting a set of alternate background images for the digital design, determining and suggesting a set of alternate font types, determining and suggesting a set of color replacements, determining and suggesting a set of alternate layout suggestions of multiple elements in the scene, determining and suggesting a set of icon replacements, determining and suggesting a set of graphs and chart replacements, determining and suggesting a set of resizes of the digital design, and determining and suggesting a set of alternate collage configuration. The method includes the step of enabling a user to selection at least of the as a user selection. The method includes the step of integrating the user selection into an updated version of the digital design. The method includes the step of displaying the updated version of the digital design in the digital design tool.

The invention discloses a block chain digital asset sharing authentication system in the field of graphic design and a use method. The system depends on an alliance block chain network, comprises a user node, a consensus node, a storage node, a verification node and the like, and automatically executes sharing, authentication and transaction logic of digital assets by means of an intelligent contract written by Solidiity. The system is provided with a copyright authentication module, and ensures that the asset copyright affiliation is certifiable through a Hash algorithm and timestamp uplink; the digital asset sharing module supports authority management, adopts encrypted transmission and records transaction information in the whole process. In addition, the system supports multiple platform clients and has the functions of asset management, service ecology establishment and the like. When the system is used, the system needs to be built firstly, and then copyright authentication, sharing and transaction settlement are sequentially carried out. The digital asset protection and sharing problem in the graphic design industry is effectively solved, and healthy development of the industry is promoted.

The invention relates to a computer-based method for gradual subdivision of large computer-aided graphic design (CAD) and part models using different principles to analyze production defects and their criticality levels, and to perform quality and life prediction of the final product.

The invention discloses a game graphic design automatic scene matching method and system based on deep learning, and relates to the technical field of image matching, and the method comprises the steps: obtaining a background base map and a plurality of plane element image libraries of a game scene; performing image segmentation on the background base image, dividing the background base image into a plurality of to-be-matched areas, and extracting an image feature vector of each to-be-matched area; establishing a semantic tag generation model, and generating a scene semantic tag of each to-be-matched area; according to the scene semantic tag, screening a plane element matched with each to-be-matched area from a plane element image library, and calculating a matching degree score of the plane element and the to-be-matched area; and placing the plane element with the highest matching degree score in the corresponding to-be-matched area to generate a complete game scene design drawing. The complete and coordinated game scene design drawing can be automatically generated, selection and layout of game materials are optimized, and design efficiency and effect consistency are improved.

The invention discloses an image vectorization method and device based on a neural diffusion curve. According to the method, geometric control point parameters of multiple sections of Bezier curves are predicted from end to end in an input grating image through a deep neural network, and the main contour and color structure of the image are accurately represented in a Bezier curve form; color control points on the two sides of the curve are automatically extracted through a micro color sampling module, and physically consistent diffusion curve representation is constructed; and performing neural approximation on the resolving process of the diffusion equation by adopting a rendering network based on a Fourier neural operator to realize end-to-end micro-reconstruction of the image generated by the prediction curve, thereby reversely optimizing the geometric prediction of the curve by using a reconstruction error. According to the method, manual intervention is not needed, image vector representation which is high in fidelity, infinite in scaling, lossless in editing and capable of supporting natural layering can be automatically generated while physical rendering consistency is kept, precision and efficiency are improved, and the method is suitable for the fields of image vectorization, digital art creation, micro rendering, graphic design and the like.

The present disclosure teaches a digital learning platform in which lessons and other interactions with the platform key off of a learner's inspiration by a wearer's garment with a graphic design and coding unique to that singular garment. The unique coding enables the learner to connect to the platform with their network connected, code scanning mobile device to access a lesson or course related to the graphic design while the wearer / user of the garment may receive value, points, and credit for the learner's activity.

The invention relates to the technical field of engineering graphic design, in particular to a two-dimensional and three-dimensional coordinate axis linear scale self-adaptive calculation method suitable for the engineering field, which comprises the following steps: S1, inputting a data file for drawing a coordinate axis; s2, determining a single-direction data range of the coordinate file; s3, preprocessing a data range; s4, setting an expected scale number; s5, calculating the order of magnitude of the scale interval; s6, calculating a normalized scale interval coefficient; s7, setting a scale interval coefficient list, and calculating an ideal scale interval coefficient; s8, calculating an ideal scale interval; s9, calculating an ideal scale number; s10, optimizing a scale interval coefficient; s11, calculating a scale initial value; and S12, generating a scale list.

The invention relates to the technical field of computer vision and artificial intelligence, and discloses an image-text design page recognition, typesetting and arrangement method, which comprises the following steps of: analyzing a historical work set of a designer, abstractly calculating into a design principle, and establishing a bidirectional mapping model of the design principle and specific implementation; a multi-agent typesetting decision-making mechanism is constructed, different typesetting tasks are decomposed into a plurality of special agents for processing, and all the agents work cooperatively; a two-way knowledge exchange mechanism is realized, and the typesetting reasoning process is presented in a visual mode; a novel design scheme is generated through recombination and variation of the mastered design principle, a probability model is established to evaluate a variation scheme, and a creative scheme is screened out; the feedback of a designer is quickly learned after a small amount of interaction, so that continuous learning and optimization are realized; the image-text design page identifying, typesetting and arranging method can understand the style of a designer, has creativity, supports two-way communication and can continuously learn.

baby teether, plush toy, nursery textiles, graphic design.

Graphic Design; Pin button Badge, Mug

Graphic design for educational and interactive media

The utility model relates to a graphic design drawing device which comprises a first pressing plate and a second pressing plate which are both of an L-shaped structure, and the first pressing plate and the second pressing plate are connected to form a rectangular frame structure used for pressing the edge of drawing paper. The second pressing plate comprises a first straight plate and a second straight plate. According to the technical scheme, the first pressing roller, the second pressing roller and the first pressing plate press the four edges of the drawing paper correspondingly, the four edges of the drawing paper are fixed at a time, the first pressing roller and the second pressing roller are shifted, so that the bottom of the first pressing roller or the bottom of the second pressing roller rotates from one side in the rectangular frame to one side outwards, and the drawing paper is fixed. The two adjacent side edges of the drawing paper can be extruded and pushed outwards, the part, located in the rectangular frame, of the drawing paper is pulled to keep the drawing paper flat, after the drawing paper is pulled and fixed, the first pressing roller and the second pressing roller are kept in a relatively fixed state under the gravity effect of the rectangular frame, and the drawing paper can be kept in a tensioned state to a certain degree.

This product is not small and fits into a cup, but is a design created based on the concept of creating a space for open communication, as if spilling the contents of the cup. Specifically, this concept is expressed by designing the flat surface of the product as an upside-down cup when viewed perpendicularly to the board.

The invention discloses a plane design element importance detection method, system and equipment based on weak supervision training and a medium. The method comprises the following steps: manually marking a data set of a global grid sequence; dividing the graphic design into a global grid and a local grid through weak supervision training; obtaining a prediction sequence and a relative weight by using the local sequence prediction model and the global sequence prediction model; the relative weight of the text and the visual feature Vt is obtained through a weight adaptive model; calculating importance indexes of the graphic design elements; the system, the equipment and the medium are used for implementing the method. By introducing a strategy of combining division of a global grid and a local grid of plane design and a multi-scale sequence prediction model, a training process is optimized, and efficient sequence prediction is realized; the importance detection of the design elements can be carried out in an efficient, accurate and low-cost mode, and a more feasible solution is provided for the wide field of plane design.

Graphic Design; Pin button Badge

Graphic Design; Pin button Badge, Mugs

Graphic Design - Life After Humans Night Owl

Graphic design (logo for streetwear, sneakers, clothing tags)

Graphic Design; Pin button Badge, Mug

The utility model discloses a folding drawing board for graphic design, which is applied to the technical field of graphic design and comprises a first drawing board and a second drawing board, hinges are bolted on sides, close to each other, of the first drawing board and the second drawing board, and the first drawing board and the second drawing board are hinged with each other through the hinges. A sliding plate and a limiting insertion plate are slidably connected to the side, close to the hinge, of the first drawing board, a spring fixedly connected with the first drawing board is bolted to the end, close to the interior of the first drawing board, of the sliding plate, and a pinion rotationally connected with the first drawing board is arranged between the sliding plate and the limiting insertion plate. A sliding plate is automatically extruded into the first drawing board in the process of opening the second drawing board, so that a limiting insertion plate is driven to slide forwards to support and limit the back surfaces of the first drawing board and the second drawing board. Therefore, only manual control is needed when the drawing board is folded and retracted, the opened drawing board can be limited, manual adjustment is not needed, operation is convenient, and practicability is improved.

Graphic Design; Pin button Badge

1. The name of this design product: Graphic design drawing board. 2. Purpose of this design product: a drawing board used for hand-drawing in graphic design. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.