US 11,810,397 B2
Method and apparatus with facial image generating
Jiwon Baek, Hwaseong-si (KR); Seong-Jin Park, Suwon-si (KR); Seungju Han, Seoul (KR); Insoo Kim, Seongnam-si (KR); and Jaejoon Han, Seoul (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Mar. 22, 2021, as Appl. No. 17/208,048.
Claims priority of application No. 10-2020-0103447 (KR), filed on Aug. 18, 2020; and application No. 10-2020-0161545 (KR), filed on Nov. 26, 2020.
Prior Publication US 2022/0058377 A1, Feb. 24, 2022
Int. Cl. G06V 40/16 (2022.01); G06T 7/73 (2017.01); G06V 10/75 (2022.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06T 3/40 (2006.01); G06T 3/60 (2006.01); G06T 9/00 (2006.01); G06F 18/214 (2023.01)
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
OG exemplary drawing
 
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.