A system allows a user to create new designs for apparel and preview these designs before manufacture. Software and lasers are used in finishing apparel to produce a desired wear pattern or other design. The user's preview may be based upon a two-dimensional image of a wear pattern in a laser input file and, from a set of two-dimensional images of a base garment, create a three-dimensional view of the base garment with the wear pattern.

Provided is method and system for organizing a virtual showroom with one or more 3d images. Scripts are generated from the input images provided by the user, for generating 3D images of the products in the showroom. The generated 3D images can be in folded form, hanger display or mannequin.

Described herein is a system and computer implemented method for finding similars for a selected clothing image amongst a set of clothing images in an electronic catalog in an online store serving online customers. An object detection model is applied to extract the clothing section within the clothing images to create a preprocessed image. A first machine learning model is applied on the preprocessed image(s) to convert the colors and textures of said preprocessed image into a first set of vector representations. A second machine learning model is applied on the preprocessed image(s) to convert the shapes of said preprocessed image into a second set of vector representations. Operations of mapping nearest vectors, matching attributes, sorting and ranking are performed, and thereafter similar images are displayed to the online customer.

A tool allows a user to create new designs for apparel and preview these designs in three dimensions before manufacture. Software and lasers are used in finishing apparel to produce a desired wear pattern or other design. Based on a laser input file with a pattern, a laser will burn the pattern onto apparel. With the tool, the user will be able to create, make changes, and view images of a design, in real time, before burning by a laser. Input to the tool includes fabric template images, laser input files, and damage input. The tool allows adding of tinting and adjusting of intensity and bright point. The user can also move, rotate, scale, and warp the image input.

A novel and useful system and method for ascertaining a desired fit for at least one article of clothing (AOC) for a user using a digital size measurement that may include a memory, at a rendering device which may include a speaker or a display, a controller configured to obtain digital size certificate information (DSCI) comprising digital size information (DSI) related to the form of the AOC and corresponding identification information related to the AOC from the memory, reconstruct a 3D model of the AOC in accordance with the DSI, render the 3D model on the rendering device, modify the 3D model in accordance with an input of the user, form desired fitting DSI (DSI.sub.DF) in accordance with the modified 3D model, and may store the DSI.sub.DF in the memory.

A system allows a user to select designs for apparel and preview these designs before manufacture. The previews provide photorealistic visualizations in two or three dimensions, and can be presented on a computer display, projected on a screen, or presented in virtual reality (e.g., via headset), or augmented reality. The system can also include a projection system that projects the new designs onto garments on mannequins in a showroom. The garments and the new designs projected onto the garments have a three-dimensional appearance as if the garments having the new designs are worn by people. Software and lasers are used in finishing the garments to produce garments with the new designs and the finished garments have an appearance of the three-dimensional appearance of the garments and new designs on the mannequins with the new designs projected onto the garments by the projection system.

A method of garment deformation based on Laplacian deformation of a human body, including the following steps: inputting polygonal mesh models of the human body and the garment; discretizing non-homogeneous mesh models of the human body and the garment inputted in the first step; clustering all the discretized mesh vertices, to reduce a number of vertices and to form a set of homogeneous discrete vertices; constructing Laplacian matrices of the human body and the garment; preprocessing and solving inverse matrices; editing by using the human body mesh as a control vertex, to drive a real-time smooth deformation of the garment mesh; and mapping a deformed and simplified mesh back to a mesh space of an original resolution to obtain deformed human body and garment mesh models.

This disclosure is related to an image generation method and apparatus. The method includes: obtaining a first body image including a target body and a first clothes image including target clothes; transforming the first clothes image based on a posture of the target body in the first body image to obtain a second clothes image, the second clothes image including the target clothes, and a posture of the target clothes matching the posture of the target body; performing feature extraction on the second clothes image, an image of a bare area in the first body image, and the first body image to obtain a clothes feature, a skin feature, and a body feature respectively; and generating a second body image based on the clothes feature, the skin feature, and the body feature, the target body in the second body image wearing the target clothes.

A system automatically generates apparel collection imagery from user-provided imagery. The user-provided imagery includes images of people wearing one or more garments. The system uses segmenting analysis to analyze the user-provided image to identify locations of the garment. From the locations of the garments, the system can determine which garments from an apparel collection can be used to replace those in the user-provided imagery. The system uses pose estimation on the user-provided imagery and modifies a preview image of a replacement garment from the collection. This modified replacement garment image is used to replace the garment in the user-provided imagery.

There is provided a data processing device including: a data acquisition unit configured to acquire animation data in which clothing moves according to a motion of a wearer's body wearing the clothing; and a data update unit configured to update the animation data based on three types of elements having ratios in accordance with a specified type of an emotion. There is provided a data processing method that is executed by a computer, the data processing method including: acquiring animation data in which clothing moves according to a motion of a wearer's body wearing the clothing; and updating the animation data based on three types of elements having ratios in accordance with a specified characteristic of a motion.