US 11,798,261 B2
Image face manipulation
Chen Cao, Los Angeles, CA (US); Sergey Tulyakov, Marina del Rey, CA (US); and Zhenglin Geng, Santa Monica, CA (US)
Assigned to Snap Inc., Santa Monica, CA (US)
Filed by Snap Inc., Santa Monica, CA (US)
Filed on Jun. 9, 2021, as Appl. No. 17/303,871.
Application 17/303,871 is a continuation of application No. 16/220,859, filed on Dec. 14, 2018, granted, now 11,055,514.
Prior Publication US 2021/0295020 A1, Sep. 23, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 40/16 (2022.01); G06V 10/82 (2022.01); G06V 10/764 (2022.01)
CPC G06V 10/764 (2022.01) [G06V 10/82 (2022.01); G06V 40/161 (2022.01); G06V 40/168 (2022.01); G06V 40/172 (2022.01); G06V 40/175 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by one or more processors, an input image that depicts a face having a first expression;
obtaining, by the one or more processors, a target expression for the face;
extracting, by the one or more processors, a texture of the face and a shape of the face;
generating, by the one or more processors based on the extracted texture of the face, a target texture corresponding to the obtained target expression using a first machine learning technique; and
generating, by the one or more processors based on the extracted shape of the face, a target shape corresponding to the obtained target expression using a second machine learning technique, wherein one or more coefficients of the first and second machine learning techniques are fixed while a third machine learning technique is trained to generate an output image that depicts the face having a second expression corresponding to the target expression.