TY - GEN
T1 - Geometric Style Transfer for Face Portraits
AU - Dai, Miaomiao
AU - Yin, Hao
AU - Yi, Ran
AU - Ma, Lizhuang
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s).
PY - 2023/12/6
Y1 - 2023/12/6
N2 - Geometric style transfer jointly stylizes the texture and geometry of a content image to better match a style image, which has attracted widespread attention due to its various applications. However, existing style transfer methods either primarily focus on texture and almost entirely ignore geometry, or have various drawbacks and are not suitable for Face Portraits. In the paper, We propose a new two-stage geometric style transfer method dedicated to face portraits, which simultaneously transfer both statistical and structural styles. Our network consists of Geometric deformation module (G) and Texture rendering module (T). G is trained with semantics image pairs, which has loose requirements on the training datasets. Besides, our flexible formulation also allows explicit user guidance and control of stylization tradeoffs. Experiments demonstrate that our method achieves state-of-the-art geometric style transfer for face portraits.
AB - Geometric style transfer jointly stylizes the texture and geometry of a content image to better match a style image, which has attracted widespread attention due to its various applications. However, existing style transfer methods either primarily focus on texture and almost entirely ignore geometry, or have various drawbacks and are not suitable for Face Portraits. In the paper, We propose a new two-stage geometric style transfer method dedicated to face portraits, which simultaneously transfer both statistical and structural styles. Our network consists of Geometric deformation module (G) and Texture rendering module (T). G is trained with semantics image pairs, which has loose requirements on the training datasets. Besides, our flexible formulation also allows explicit user guidance and control of stylization tradeoffs. Experiments demonstrate that our method achieves state-of-the-art geometric style transfer for face portraits.
KW - Face portraits
KW - Geometric deformation module (G)
KW - Geometric style transfer
KW - Texture rendering module (T)
UR - https://www.scopus.com/pages/publications/85182920688
U2 - 10.1145/3595916.3626438
DO - 10.1145/3595916.3626438
M3 - 会议稿件
AN - SCOPUS:85182920688
T3 - Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023
BT - Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023
PB - Association for Computing Machinery, Inc
T2 - 5th ACM International Conference on Multimedia in Asia, MMAsia 2023
Y2 - 6 December 2023 through 8 December 2023
ER -