GENERATING SCALE FIELDS INDICATING PIXEL-TO-METRIC DISTANCES RELATIONSHIPS IN DIGITAL IMAGES VIA NEURAL NETWORKS

    公开(公告)号:US20240127509A1

    公开(公告)日:2024-04-18

    申请号:US18304134

    申请日:2023-04-20

    Applicant: Adobe Inc.

    CPC classification number: G06T11/60 G06T3/4046

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify two-dimensional images via scene-based editing using three-dimensional representations of the two-dimensional images. For instance, in one or more embodiments, the disclosed systems utilize three-dimensional representations of two-dimensional images to generate and modify shadows in the two-dimensional images according to various shadow maps. Additionally, the disclosed systems utilize three-dimensional representations of two-dimensional images to modify humans in the two-dimensional images. The disclosed systems also utilize three-dimensional representations of two-dimensional images to provide scene scale estimation via scale fields of the two-dimensional images. In some embodiments, the disclosed systems utilizes three-dimensional representations of two-dimensional images to generate and visualize 3D planar surfaces for modifying objects in two-dimensional images. The disclosed systems further use three-dimensional representations of two-dimensional images to customize focal points for the two-dimensional images.

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