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.

Date of Patent:
Sep. 19, 2023

Filed:

Nov. 18, 2020
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Elya Shechtman, Seattle, WA (US);

William Peebles, Apex, NC (US);

Richard Zhang, San Francisco, CA (US);

Jun-Yan Zhu, Pittsburgh, PA (US);

Alyosha Efros, Berkeley, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G06N 3/08 (2023.01); G06T 3/00 (2006.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 18/217 (2023.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 3/0068 (2013.01);
Abstract

Embodiments are disclosed for generative image congealing which provides an unsupervised learning technique that learns transformations of real data to improve the image quality of GANs trained using that image data. In particular, in one or more embodiments, the disclosed systems and methods comprise generating, by a spatial transformer network, an aligned real image for a real image from an unaligned real dataset, providing, by the spatial transformer network, the aligned real image to an adversarial discrimination network to determine if the aligned real image resembles aligned synthetic images generated by a generator network, and training, by a training manager, the spatial transformer network to learn updated transformations based on the determination of the adversarial discrimination network.


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