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US Patent 10825219 Segmentation guided image generation with adversarial networks

Patent 10825219 was granted and assigned to Northeastern University on November, 2020 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
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Current Assignee
Northeastern University
Northeastern University
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Date Filed
March 22, 2019
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Date of Patent
November 3, 2020
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Patent Applicant
Northeastern University
Northeastern University
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Patent Application Number
16361941
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Patent Citations
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US Patent 10504268 Systems and methods for generating facial expressions in a user interface
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US Patent 10552714 Generating a digital image using a generative adversarial network
Patent Citations Received
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US Patent 12067690 Image processing method and apparatus, device, and storage medium
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US Patent 11907839 Detail-preserving image editing techniques
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US Patent 11915133 Techniques for smooth region merging in image editing
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US Patent 11983628 Attribute control techniques for image editing
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US Patent 10997464 Digital image layout training using wireframe rendering within a generative adversarial network (GAN) system
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US Patent 11748851 Method of replacing missing image data by using neural network and apparatus thereof
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US Patent 11775158 Device-based image modification of depicted objects
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US Patent 11823349 Image generators with conditionally-independent pixel synthesis
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US Patent 11875221 Attribute decorrelation techniques for image editing
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US Patent 11880766 Techniques for domain to domain projection using a generative model
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
10825219
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Patent Primary Examiner
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Soo Jin Park
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