Exemplar-based object appearance transfer driven by correspondence

    公开(公告)号:US12217395B2

    公开(公告)日:2025-02-04

    申请号:US17660968

    申请日:2022-04-27

    Applicant: ADOBE INC.

    Abstract: Systems and methods for image processing are configured. Embodiments of the present disclosure encode a content image and a style image using a machine learning model to obtain content features and style features, wherein the content image includes a first object having a first appearance attribute and the style image includes a second object having a second appearance attribute; align the content features and the style features to obtain a sparse correspondence map that indicates a correspondence between a sparse set of pixels of the content image and corresponding pixels of the style image; and generate a hybrid image based on the sparse correspondence map, wherein the hybrid image depicts the first object having the second appearance attribute.

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