EXTRACTING 3D SHAPES FROM LARGE-SCALE UNANNOTATED IMAGE DATASETS

    公开(公告)号:US20250061660A1

    公开(公告)日:2025-02-20

    申请号:US18451961

    申请日:2023-08-18

    Applicant: ADOBE INC.

    Abstract: Systems and methods for extracting 3D shapes from unstructured and unannotated datasets are described. Embodiments are configured to obtain a first image and a second image, where the first image depicts an object and the second image includes a corresponding object of a same object category as the object. Embodiments are further configured to generate, using an image encoder, image features for portions of the first image and for portions of the second image; identify a keypoint correspondence between a first keypoint in the first image and a second keypoint in the second image by clustering the image features corresponding to the portions of the first image and the portions of the second image; and generate, using an occupancy network, a 3D model of the object based on the keypoint correspondence.

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