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:
Nov. 22, 2022

Filed:

Mar. 18, 2020
Applicant:

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

Inventors:

Yijun Li, Seattle, WA (US);

Zhifei Zhang, San Jose, CA (US);

Richard Zhang, San Francisco, CA (US);

Jingwan Lu, Santa Clara, CA (US);

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09G 5/00 (2006.01); G06V 20/20 (2022.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06V 10/56 (2022.01); G06V 40/50 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 20/20 (2022.01); G06K 9/6253 (2013.01); G06K 9/6259 (2013.01); G06K 9/6262 (2013.01); G06N 3/0454 (2013.01); G06N 3/088 (2013.01); G06V 10/56 (2022.01); G06V 40/171 (2022.01); G06V 40/50 (2022.01);
Abstract

The present disclosure relates to systems, computer-implemented methods, and non-transitory computer readable medium for automatically transferring makeup from a reference face image to a target face image using a neural network trained using semi-supervised learning. For example, the disclosed systems can receive, at a neural network, a target face image and a reference face image, where the target face image is selected by a user via a graphical user interface (GUI) and the reference face image has makeup. The systems transfer, by the neural network, the makeup from the reference face image to the target face image, where the neural network is trained to transfer the makeup from the reference face image to the target face image using semi-supervised learning. The systems output for display the makeup on the target face image.


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