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 |
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.
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