Machine-Learned Models for Unsupervised Image Transformation and Retrieval

    公开(公告)号:US20220374625A1

    公开(公告)日:2022-11-24

    申请号:US17314738

    申请日:2021-05-07

    Applicant: Google LLC

    Abstract: Systems and methods of the present disclosure are directed to a computer-implemented method. The method can include obtaining a first image depicting a first object and a second image depicting a second object, wherein the first object comprises a first feature set and the second object comprises a second feature set. The method can include processing the first image with a machine-learned image transformation model comprising a plurality of model channels to obtain a first channel mapping indicative of a mapping between the plurality of model channels and the first feature set. The method can include processing the second image with the model to obtain a second channel mapping indicative of a mapping between the plurality of model channels and the second feature set. The method can include generating an interpolation vector for a selected feature.

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