Invention Grant
- Patent Title: Image manipulation using deep learning techniques in a patch matching operation
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Application No.: US16692843Application Date: 2019-11-22
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Publication No.: US11080833B2Publication Date: 2021-08-03
- Inventor: Connelly Barnes , Utkarsh Singhal , Elya Shechtman , Michael Gharbi
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06T5/50
- IPC: G06T5/50 ; G06K9/62 ; G06T5/00 ; G06N3/04 ; G06F16/53 ; G06N3/08

Abstract:
A method for manipulating a target image includes generating a query of the target image and keys and values of a first reference image. The method also includes generating matching costs by comparing the query of the target image with each key of the reference image and generating a set of weights from the matching costs. Further, the method includes generating a set of weighted values by applying each weight of the set of weights to a corresponding value of the values of the reference image and generating a weighted patch by adding each weighted value of the set of weighted values together. Additionally, the method includes generating a combined weighted patch by combining the weighted patch with additional weighted patches associated with additional queries of the target image and generating a manipulated image by applying the combined weighted patch to an image processing algorithm.
Public/Granted literature
- US20210158495A1 IMAGE MANIPULATION USING DEEP LEARNING TECHNIQUES IN A PATCH MATCHING OPERATION Public/Granted day:2021-05-27
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