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. 29, 2026

Filed:

Aug. 23, 2024
Applicant:

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

Inventors:

Keke He, Shenzhen, CN;

Junwei Zhu, Shenzhen, CN;

Ying Tai, Shenzhen, CN;

Chengjie Wang, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/50 (2006.01); G06T 9/00 (2006.01); G06V 10/74 (2022.01); G06V 10/80 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G06T 9/00 (2013.01); G06V 10/761 (2022.01); G06V 10/806 (2022.01); G06V 40/171 (2022.01); G06V 40/174 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30201 (2013.01);
Abstract

A method for training a face swap model includes concatenating an expression feature of a template image and an identity feature of a source face image to obtain a combined feature; performing encoding based on the source face image and the template image to obtain an encoding feature required for face swap; fusing the encoding feature and the combined feature to obtain a fused feature; performing decoding based on the fused feature to obtain a swapped face image; respectively predicting image attribute discrimination results of the swapped face image and a reference image by using a discriminator network of the face swap model; and calculating a difference between an expression feature of the swapped face image and the template image, calculating a difference between an identity feature of the swapped face image and the source face image, and updating the generator network and the discriminator network.


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