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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 12505652 B1

PDFFull Text
Date of Patent:
Dec. 23, 2025

Filed:

Nov. 17, 2022

Face synthesis for forgery detection

Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Yong Zhang, Shenzhen, CN;

Yuchen Luo, Shenzhen, CN;

Junchi Yan, Shenzhen, CN;

Wei Liu, Shenzhen, CN;

Assignee:

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen, CN;

Attorney:

Anova Law Group, PLLC

Primary Examiner:

Joni Hsu

Int. Cl.
CPC ...
G06T 3/18 (2024.01); G06T 3/40 (2006.01); G06T 5/50 (2006.01); G06T 7/90 (2017.01); G06T 11/00 (2006.01); G06T 11/60 (2006.01); G06V 10/25 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01); G06V 40/16 (2022.01); G09G 5/377 (2006.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 3/18 (2024.01); G06T 3/40 (2013.01); G06T 5/50 (2013.01); G06T 7/90 (2017.01); G06T 11/001 (2013.01); G06T 11/60 (2013.01); G06V 10/25 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/95 (2022.01); G06V 40/161 (2022.01); G06V 40/171 (2022.01); G09G 5/377 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30201 (2013.01); G09G 2340/10 (2013.01);
Abstract

This application relates to a face image processing method, apparatus, computer device, and storage medium. The method includes acquiring a first face image and a second face image, the first face image and the second face image being images of real faces; generating a first updated face image with non-real face image characteristics based on the first face image; adjusting color distribution of the first updated face image according to color distribution of the second face image to obtain a first adjusted face image; acquiring a target face mask of the first face image, the target face mask being generated by randomly deforming a face region of the first face image; and blending the first adjusted face image and the second face image according to the target face mask to obtain a target face image. Accordingly, a diversity of target face images can be generated.

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