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公开(公告)号:US20240037881A1
公开(公告)日:2024-02-01
申请号:US17814940
申请日:2022-07-26
申请人: ADOBE INC.
CPC分类号: G06T19/20 , G06T7/11 , G06T5/005 , G06T5/50 , G06T7/194 , G06T2207/20224 , G06T2207/20021 , G06T2210/62 , G06T2200/24 , G06T2207/20092 , G06T2207/20084 , G06T2219/2024 , G06T2219/2004
摘要: Systems and methods for image processing are described. Embodiments of the present disclosure receive a first image depicting a scene and a second image that includes a style; segment the first image to obtain a first segment and a second segment, wherein the first segment has a shape of an object in the scene; apply a style transfer network to the first segment and the second image to obtain a first image part, wherein the first image part has the shape of the object and the style from the second image; combine the first image part with a second image part corresponding to the second segment to obtain a combined image; and apply a lenticular effect to the combined image to obtain an output image.
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公开(公告)号:US20240095277A1
公开(公告)日:2024-03-21
申请号:US17932742
申请日:2022-09-16
申请人: ADOBE INC.
IPC分类号: G06F16/54 , G06V10/22 , G06V10/772
CPC分类号: G06F16/54 , G06V10/23 , G06V10/772
摘要: Systems and methods for image exploration are provided. One aspect of the systems and methods includes identifying a set of images; reducing the set of images to obtain a representative set of images that is distributed throughout the set of images by removing a neighbor image based on a proximity of the neighbor image to an image of the representative set of images; arranging the representative set of images in a grid structure using a self-sorting map (SSM) algorithm; and displaying a portion of the representative set of images based on the grid structure.
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公开(公告)号:US12067046B2
公开(公告)日:2024-08-20
申请号:US17932742
申请日:2022-09-16
申请人: ADOBE INC.
IPC分类号: G06F16/54 , G06V10/22 , G06V10/772
CPC分类号: G06F16/54 , G06V10/23 , G06V10/772
摘要: Systems and methods for image exploration are provided. One aspect of the systems and methods includes identifying a set of images; reducing the set of images to obtain a representative set of images that is distributed throughout the set of images by removing a neighbor image based on a proximity of the neighbor image to an image of the representative set of images; arranging the representative set of images in a grid structure using a self-sorting map (SSM) algorithm; and displaying a portion of the representative set of images based on the grid structure.
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公开(公告)号:US20220318420A1
公开(公告)日:2022-10-06
申请号:US17217024
申请日:2021-03-30
申请人: ADOBE INC.
发明人: William Marino , Tim Converse , Sudharshan reddy Kakumanu , Shabnam Ghadar , Nico Becherer , Dhaval Shah , Ben Bowles , Alvin Ghouas , Alexander Riss
摘要: The present disclosure describes systems and methods for a privacy sensitive computing system. One or more embodiments provide a protected computing environment, a code authorization unit, and a data aggregation unit. For example, some embodiments of the privacy sensitive computing system may train unsupervised or self-supervised ML models on user-generated assets subject to privacy considerations that mandate those assets are not viewed directly by human eyes.
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