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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 12067645 B1

PDFFull Text
Date of Patent:
Aug. 20, 2024

Filed:

Jun. 30, 2021

High-resolution controllable face aging with spatially-aware conditional gans

Applicant:

L'oreal, Paris, FR;

Inventors:

Julien Despois, Paris, FR;

Frederic Flament, Paris, FR;

Matthieu Perrot, Paris, FR;

Assignee:

L'Oreal, Paris, FR;

Attorney:

Oblon, McClelland, Maier & Neustadt, L.L.P.

Primary Examiner:

Jin Ge

Int. Cl.
CPC ...
G06T 11/00 (2006.01); A45D 44/00 (2006.01); G06N 3/045 (2023.01); G06N 3/088 (2023.01); G06Q 30/0601 (2023.01); G06T 7/00 (2017.01); G06V 10/44 (2022.01); G06V 10/50 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06T 11/00 (2013.01); A45D 44/005 (2013.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06Q 30/0631 (2013.01); G06Q 30/0643 (2013.01); G06T 7/0012 (2013.01); G06V 10/454 (2022.01); G06V 10/50 (2022.01); G06V 10/764 (2022.01); G06V 10/765 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 40/171 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30088 (2013.01); G06T 2207/30201 (2013.01);
Abstract

There are provided computing devices and methods, etc. to controllably transform an image of a face, including a high resolution image, to simulate continuous aging. Ethnicity-specific aging information and weak spatial supervision are used to guide the aging process defined through training a model comprising a GANs based generator. Aging maps present the ethnicity-specific aging information as skin sign scores or apparent age values. The scores are located in the map in association with a respective location of the skin sign zone of the face associated with the skin sign. Patch-based training, particularly in association with location information to differentiate similar patches from different parts of the face, is used to train on high resolution images while minimize resource usage.

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