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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12469137 B1

PDFFull Text
Date of Patent:
Nov. 11, 2025

Filed:

Sep. 26, 2019

Representational disentanglement for multi-modality image completion using neural networks

Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Wentao Zhu, Mountain View, CA (US);

Liyue Shen, Stanford, CA (US);

Xiaosong Wang, Rockville, MD (US);

Daguang Xu, Potomac, MD (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:

Davis Wright Tremaine LLP

Primary Examiner:

Hadi Akhavannik

Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/241 (2023.01); G06N 3/045 (2023.01); G06N 3/063 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 9/00 (2006.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06F 18/241 (2023.01); G06N 3/045 (2023.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01); G06T 9/002 (2013.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/07 (2022.01);
Abstract

Apparatuses, systems, and techniques to generate one or more data items related to an object from a set of multiple data items related to the same object using a generative adversarial network. In at least one embodiment, data objects in a set are disentangled into common and unique components and encoded such that they may be used to train one or more neural networks to generate missing data from the data objects in the set, such as generating missing medical images from a set of related medical images.

Find Patent Forward Citations

Zhu, Wentao. (2025). Representational disentanglement for multi-modality image completion using neural networks (U.S. Patent No. 12469137). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12469137

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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