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US Patent 11436775 Predicting patch displacement maps using a neural network

Patent 11436775 was granted and assigned to Adobe Inc. on September, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Adobe Inc.
Adobe Inc.
Current Assignee
Adobe Inc.
Adobe Inc.
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11436775
Patent Inventor Names
Jiahui Yu0
Jimei Yang0
Xiaohui Shen0
Xin Lu0
Zhe Lin0
Date of Patent
September 6, 2022
Patent Application Number
16806344
Date Filed
March 2, 2020
Patent Citations
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US Patent 10127631 Automatic image inpainting using local patch statistics
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US Patent 10134108 Content aware sampling during patch synthesis
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US Patent 10198839 Style transfer-based image content correction
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US Patent 10282877 Generating content aware image fill with geometrical constraints
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US Patent 10380753 Method and apparatus for generating a displacement map of an input dataset pair
0
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US Patent 10614557 Digital image completion using deep learning
0
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US Patent 10403284 Adversarial learning and generation of dialogue responses
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US Patent 10672164 Predicting patch displacement maps using a neural network
0
...
Patent Primary Examiner
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Kevin Ky
CPC Code
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G06T 5/30
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G06N 3/0472
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G06N 3/0454
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G06K 9/6269
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G06K 9/6267
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G06T 5/005
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G06T 11/60

Predicting patch displacement maps using a neural network is described. Initially, a digital image on which an image editing operation is to be performed is provided as input to a patch matcher having an offset prediction neural network. From this image and based on the image editing operation for which this network is trained, the offset prediction neural network generates an offset prediction formed as a displacement map, which has offset vectors that represent a displacement of pixels of the digital image to different locations for performing the image editing operation. Pixel values of the digital image are copied to the image pixels affected by the operation.

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