HyperplaneGAN: a unified consistent translation framework for facial attribute editing-Reference-Cited by-同舟云学术

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HyperplaneGAN: a unified consistent translation framework for facial attribute editing

Published:2024-08-22 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Li Defang,Deng Huiqi,Qin Peng,Chen Weifu^ORCID,Feng Guocan

Funder

NSFC

Guangzhou Municipal Science and Technology Program key projects

Guangdong Province Key Laboratory of Computational Science at Sun Yat-sen University

Department of Education of Guangdong Province

Guangzhou Vocational College of Technology&Business

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-20062-9.pdf

Reference57 articles.

1. Zheng X, Guo Y, Huang H, Li Y, He R (2020) A survey of deep facial attribute analysis. Int J Comput Vision 128:2002–2034

2. Xie S, Hu H, Chen Y (2020) Facial expression recognition with two-branch disentangled generative adversarial network. IEEE Trans Circuits Syst Video Technol 31(6):2359–2371

3. Kim T, Chung C, Kim Y, Park S, Kim K, Choo J (2022) Style your hair: Latent optimization for pose-invariant hairstyle transfer via local-style-aware hair alignment. In: European conference on computer vision. Springer, pp 188–203

4. Wu Y, Wang R, Gong M, Cheng J, Yu Z, Tao D (2021) Adversarial uv-transformation texture estimation for 3d face aging. IEEE Trans Circuits Syst Video Technol 32(7):4338–4350

5. Choi Y, Uh Y, Yoo J, Ha J-W (2020) Stargan v2: Diverse image synthesis for multiple domains. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp 8188–8197

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