PIXEL-BASED DEFORMATION OF FASHION ITEMS

    公开(公告)号:US20250061662A1

    公开(公告)日:2025-02-20

    申请号:US18234471

    申请日:2023-08-16

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for using machine learning models to perform pixel-based deformation of fashion items. The methods and systems receive one or more images depicting a first person in a first pose and receive a source image depicting a target fashion item worn on a portion of a body of a second person in a second pose. The methods and systems process, using one or more machine learning models, the one or more images together with the source image to generate a flow field indicating existence and location of each pixel of the one or more images in the source image and modify, based on the flow field, a portion of the one or more images to overlay the target fashion item on the first person including one or more portions of the target fashion item that extend beyond a body of the first person.

    DIFFUSION MODEL VIRTUAL TRY-ON EXPERIENCE

    公开(公告)号:US20240378763A1

    公开(公告)日:2024-11-14

    申请号:US18196160

    申请日:2023-05-11

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for generating an extended reality (XR) try-on experience based on an image produced by a diffusion model. The system receives a first image depicting a real-world object and receives a second image depicting a target fashion item. The system generates a warped image in which pixels of the target fashion item depicted in the second image replace pixels of a portion of the real-world object in the first image and generates one or more segmentation maps corresponding to incomplete portions of the warped image. The system analyzes the warped image and the one or more segmentation maps using a generative machine learning model to generate an artificial image that populates the incomplete portions of the warped image to depict the real-world object wearing the target fashion item.

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