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公开(公告)号：US20240135613A1
公开(公告)日：2024-04-25
申请号：US18320664
申请日：2023-05-19
Applicant: Adobe Inc.
Inventor： Zhihong Ding , Scott Cohen , Matthew Joss , Jianming Zhang , Darshan Prasad , Celso Gomes , Jonathan Brandt
CPC classification number: G06T11/60 , G06F3/04842 , G06T3/40 , G06T5/005 , G06T7/50 , G06V10/761 , G06T2207/20084
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implement perspective-aware object move operations for digital image editing. For instance, in some embodiments, the disclosed systems determine a vanishing point associated with a digital image portraying an object. Additionally, the disclosed systems detect one or more user interactions for moving the object within the digital image. Based on moving the object with respect to the vanishing point, the disclosed systems perform a perspective-based resizing of the object within the digital image.
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公开(公告)号：US20250069297A1
公开(公告)日：2025-02-27
申请号：US18948839
申请日：2024-11-15
Applicant: Adobe Inc.
Inventor： Zhifei Zhang , Zhe Lin , Scott Cohen , Darshan Prasad , Zhihong Ding
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for transferring global style features between digital images utilizing one or more machine learning models or neural networks. In particular, in one or more embodiments, the disclosed systems receive a request to transfer a global style from a source digital image to a target digital image, identify at least one target object within the target digital image, and transfer the global style from the source digital image to the target digital image while maintaining an object style of the at least one target object.
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3.发明公开公开(公告)号：US20240169624A1
公开(公告)日：2024-05-23
申请号：US18058538
申请日：2022-11-23
Applicant: Adobe Inc.
Inventor： Jonathan Brandt , Scott Cohen , Zhe Lin , Zhihong Ding , Darshan Prasad , Matthew Joss , Celso Gomes , Jianming Zhang , Olena Soroka , Klaas Stoeckmann , Michael Zimmermann , Thomas Muehrke
IPC: G06T11/60 , G06F3/04842 , G06F3/04845 , G06T11/40
CPC classification number: G06T11/60 , G06F3/04842 , G06F3/04845 , G06T11/40
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems generate utilizing a segmentation neural network, an object mask for each object of a plurality of objects of a digital image. The disclosed systems detect a first user interaction with an object in the digital image displayed via a graphical user interface. The disclosed systems surface, via the graphical user interface, the object mask for the object in response to the first user interaction. The disclosed systems perform an object-aware modification of the digital image in response to a second user interaction with the object mask for the object.
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Patent Agency Ranking
公开(公告)号：US12154196B2
公开(公告)日：2024-11-26
申请号：US17810392
申请日：2022-07-01
Applicant: Adobe Inc.
Inventor： Zhifei Zhang , Zhe Lin , Scott Cohen , Darshan Prasad , Zhihong Ding
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for transferring global style features between digital images utilizing one or more machine learning models or neural networks. In particular, in one or more embodiments, the disclosed systems receive a request to transfer a global style from a source digital image to a target digital image, identify at least one target object within the target digital image, and transfer the global style from the source digital image to the target digital image while maintaining an object style of the at least one target object.
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5.发明公开公开(公告)号：US20240004924A1
公开(公告)日：2024-01-04
申请号：US17809781
申请日：2022-06-29
Applicant: Adobe Inc.
Inventor： Zhifei Zhang , Zhe Lin , Zhihong Ding , Scott Cohen , Darshan Prasad
IPC: G06F16/538 , G06F16/532 , G06T7/11 , G06T5/50 , G06F16/583
CPC classification number: G06F16/538 , G06F16/532 , G06F16/5838 , G06T5/50 , G06T7/11
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implements related image search and image modification processes using various search engines and a consolidated graphical user interface. For instance, in one or more embodiments, the disclosed systems receive an input digital image and search input and further modify the input digital image using the image search results retrieved in response to the search input. In some cases, the search input includes a multi-modal search input having multiple queries (e.g., an image query and a text query), and the disclosed systems retrieve the image search results utilizing a weighted combination of the queries. In some implementations, the disclosed systems generate an input embedding for the search input (e.g., the multi-modal search input) and retrieve the image search results using the input embedding.
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公开(公告)号：US12288279B2
公开(公告)日：2025-04-29
申请号：US18058538
申请日：2022-11-23
Applicant: Adobe Inc.
Inventor： Jonathan Brandt , Scott Cohen , Zhe Lin , Zhihong Ding , Darshan Prasad , Matthew Joss , Celso Gomes , Jianming Zhang , Olena Soroka , Klaas Stoeckmann , Michael Zimmermann , Thomas Muehrke
IPC: G06T11/60 , G06F3/048 , G06F3/04842 , G06F3/04845 , G06T11/40
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems generate utilizing a segmentation neural network, an object mask for each object of a plurality of objects of a digital image. The disclosed systems detect a first user interaction with an object in the digital image displayed via a graphical user interface. The disclosed systems surface, via the graphical user interface, the object mask for the object in response to the first user interaction. The disclosed systems perform an object-aware modification of the digital image in response to a second user interaction with the object mask for the object.
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公开(公告)号：US20240135561A1
公开(公告)日：2024-04-25
申请号：US18320714
申请日：2023-05-19
Applicant: Adobe Inc.
Inventor： Zhihong Ding , Scott Cohen , Matthew Joss , Jianming Zhang , Darshan Prasad , Celso Gomes , Jonathan Brandt
CPC classification number: G06T7/50 , G06T5/005 , G06V10/26 , G06T2207/20084
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implement depth-aware object move operations for digital image editing. For instance, in some embodiments, the disclosed systems determine a first object depth for a first object portrayed within a digital image and a second object depth for a second object portrayed within the digital image. Additionally, the disclosed systems move the first object to create an overlap area between the first object and the second object within the digital image. Based on the first object depth and the second object depth, the disclosed systems modify the digital image to occlude the first object or the second object within the overlap area.
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公开(公告)号：US20240005574A1
公开(公告)日：2024-01-04
申请号：US17810392
申请日：2022-07-01
Applicant: Adobe Inc.
Inventor： Zhifei Zhang , Zhe Lin , Scott Cohen , Darshan Prasad , Zhihong Ding
CPC classification number: G06T11/40 , G06T5/005 , G06T7/12 , G06T2207/20084
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for transferring global style features between digital images utilizing one or more machine learning models or neural networks. In particular, in one or more embodiments, the disclosed systems receive a request to transfer a global style from a source digital image to a target digital image, identify at least one target object within the target digital image, and transfer the global style from the source digital image to the target digital image while maintaining an object style of the at least one target object.
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