CPC G06V 40/172 (2022.01) [G06F 18/214 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 3/40 (2013.01); G06T 3/60 (2013.01); G06T 7/73 (2017.01); G06T 9/002 (2013.01); G06V 10/751 (2022.01); G06V 40/171 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01)] | 30 Claims |
1. A processor-implemented facial image generating method, comprising:
determining a first feature vector associated with a pose and a second feature vector associated with an identity by encoding an input image including a face;
determining a flipped first feature vector by swapping a value of a first element included in the first feature vector and a value of a second element located at a symmetrically transposed position with respect to an axis in the first feature vector, wherein the axis in the first feature vector corresponds to a center of columns of the first feature vector corresponding to a two-dimensional matrix;
determining an assistant feature vector based on the flipped first feature vector and rotation information corresponding to the input image;
determining a final feature vector based on the first feature vector and the assistant feature vector; and
generating an output image including a rotated face by decoding the final feature vector and the second feature vector based on the rotation information.
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