JOINT DEPTH PREDICTION FROM DUAL-CAMERAS AND DUAL-PIXELS

    公开(公告)号:US20220343525A1

    公开(公告)日:2022-10-27

    申请号:US17640114

    申请日:2020-04-27

    Applicant: GOOGLE LLC

    Abstract: Example implementations relate to joint depth prediction from dual cameras and dual pixels. An example method may involve obtaining a first set of depth information representing a scene from a first source and a second set of depth information representing the scene from a second source. The method may further involve determining, using a neural network, a joint depth map that conveys respective depths for elements in the scene. The neural network may determine the joint depth map based on a combination of the first set of depth information and the second set of depth information. In addition, the method may involve modifying an image representing the scene based on the joint depth map. For example, background portions of the image may be partially blurred based on the joint depth map.

    SYSTEMS AND METHODS FOR INPAINTING IMAGES AT INCREASED RESOLUTION

    公开(公告)号:US20230325985A1

    公开(公告)日:2023-10-12

    申请号:US18022396

    申请日:2021-10-14

    Applicant: GOOGLE LLC

    CPC classification number: G06T5/005 G06T5/50 G06T3/4046 G06T2207/20016

    Abstract: A method includes receiving an input image. The input image corresponds to one or more masked regions to be inpainted. The method includes providing the input image to a first neural network. The first neural network outputs a first inpainted image at a first resolution, and the one or more masked regions are inpainted in the first inpainted image. The method includes creating a second inpainted image by increasing a resolution of the first inpainted image from the first resolution to a second resolution. The second resolution is greater than the first resolution such that the one or more inpainted masked regions have an increased resolution. The method includes providing the second inpainted image to a second neural network. The second neural network outputs a first refined inpainted image at the second resolution, and the first refined inpainted image is a refined version of the second inpainted image.

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