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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
Applicant: ADOBE INC.
Inventor： Pranav Vineet Aggarwal , Alvin Ghouas , Ajinkya Gorakhnath Kale
CPC classification number: 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
Abstract: 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
Applicant: ADOBE INC.
Inventor： Sachin Madhav Kelkar , Ajinkya Gorakhnath Kale , Alvin Ghouas , Baldo Antonio Faieta
IPC: G06F16/54 , G06V10/22 , G06V10/772
CPC classification number: G06F16/54 , G06V10/23 , G06V10/772
Abstract: 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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Patent Agency Ranking
公开(公告)号：US20250117126A1
公开(公告)日：2025-04-10
申请号：US18904517
申请日：2024-10-02
Applicant: ADOBE INC.
Inventor： Ajinkya Gorakhnath Kale , Alvin Ghouas , Baldo Faieta , Evan Benjamin Shimizu , Jeremy Jay Joachim , Tomasz Opasinski
IPC: G06F3/04847 , G06F3/0486 , G06F16/43 , G06T11/00
Abstract: A method, apparatus, non-transitory computer readable medium, and system for media processing includes obtaining a variation parameter and a number of variations, identifying a first variation input and a second variation input for the variation parameter, and obtaining a first media content item and a second media content item based on the first variation input and the second variation input, respectively. The first media content item and the second media content item vary from each other with respect to the variation parameter. The method, apparatus, non-transitory computer readable medium, and system for media processing further includes displaying the first media content item and the second media content item in a grid comprising a grid size based on the number of variations.
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公开(公告)号：US12182955B2
公开(公告)日：2024-12-31
申请号：US17814940
申请日：2022-07-26
Applicant: ADOBE INC.
Inventor： Pranav Vineet Aggarwal , Alvin Ghouas , Ajinkya Gorakhnath Kale
Abstract: 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：US12153705B2
公开(公告)日：2024-11-26
申请号：US17217024
申请日：2021-03-30
Applicant: ADOBE INC.
Inventor： William Marino , Tim Converse , Sudharshan reddy Kakumanu , Shabnam Ghadar , Nico Becherer , Dhaval Shah , Ben Bowles , Alvin Ghouas , Alexander Riss
Abstract: 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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公开(公告)号：US12067046B2
公开(公告)日：2024-08-20
申请号：US17932742
申请日：2022-09-16
Applicant: ADOBE INC.
Inventor： Sachin Madhav Kelkar , Ajinkya Gorakhnath Kale , Alvin Ghouas , Baldo Antonio Faieta
IPC: G06F16/54 , G06V10/22 , G06V10/772
CPC classification number: G06F16/54 , G06V10/23 , G06V10/772
Abstract: 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
Applicant: ADOBE INC.
Inventor： William Marino , Tim Converse , Sudharshan reddy Kakumanu , Shabnam Ghadar , Nico Becherer , Dhaval Shah , Ben Bowles , Alvin Ghouas , Alexander Riss
Abstract: 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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