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US Patent 11544880 Generating modified digital images utilizing a global and spatial autoencoder

Patent 11544880 was granted and assigned to Adobe Inc. on January, 2023 by the United States Patent and Trademark Office.

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Patent Applicant

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Current Assignee

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Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

Alexei A Efros0

Elya Shechtman0

Jingwan Lu0

Junyan Zhu0

Oliver Wang0

Richard Zhang0

Taesung Park0

Date of Patent

January 3, 2023

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Patent Application Number

168743990

Date Filed

May 14, 2020

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Patent Citations

US Patent 10789288 Relational model based natural language querying to identify object relationships in scene

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Patent Citations Received

US Patent 11907839 Detail-preserving image editing techniques

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US Patent 11880766 Techniques for domain to domain projection using a generative model

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US Patent 11922550 Systems and methods for hierarchical text-conditional image generation

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US Patent 11750848 High-fidelity generative image compression

US Patent 11790486 Image processing method and apparatus

US Patent 11915133 Techniques for smooth region merging in image editing

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US Patent 11875221 Attribute decorrelation techniques for image editing

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US Patent 11983628 Attribute control techniques for image editing

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Patent Primary Examiner

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The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a modified digital image from extracted spatial and global codes. For example, the disclosed systems can utilize a global and spatial autoencoder to extract spatial codes and global codes from digital images. The disclosed systems can further utilize the global and spatial autoencoder to generate a modified digital image by combining extracted spatial and global codes in various ways for various applications such as style swapping, style blending, and attribute editing.

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