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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 11830288 B1

PDFFull Text
Date of Patent:
Nov. 28, 2023

Filed:

Mar. 24, 2021

Method and apparatus for training face fusion model and electronic device

Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Kun Yao, Beijing, CN;

Zhibin Hong, Beijing, CN;

Jieting Xue, Beijing, CN;

Assignee:

BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD., Beijing, CN;

Attorney:

Lippes Mathias LLP

Primary Examiner:

Mohammed Rachedine

Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06F 18/24 (2023.01); G06F 18/2413 (2023.01); G06F 18/25 (2023.01); G06V 40/16 (2022.01); G06N 3/047 (2023.01); G06N 20/00 (2019.01); G06T 5/50 (2006.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06N 3/088 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06V 40/169 (2022.01); G06F 18/2148 (2023.01); G06F 18/2185 (2023.01); G06F 18/24765 (2023.01); G06T 7/74 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 40/168 (2022.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01);
Abstract

Embodiments of the present disclosure provide a method for training a face fusion model and an electronic device. The method includes: performing a first face changing process on a user image and a template image to generate a reference template image; adjusting poses of facial features of the template image based on the reference template image to generate a first input image; performing a second face changing process on the template image to generate a second input image; inputting the first input image and the second input image into a generator of an initial face fusion model to generate a fused face area image; and inputting the fused image and the template image into a discriminator of the initial face fusion model to obtain a result, and performing backpropagation correction on the initial face fusion model based on the result to generate a face fusion model.

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