BeautyGAN-Reference-Cited by-同舟云学术

BeautyGAN

Published:2018-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM international conference on Multimedia
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Author:

Li Tingting¹,Qian Ruihe²,Dong Chao³,Liu Si⁴,Yan Qiong⁵,Zhu Wenwu⁶,Lin Liang⁷

Affiliation:

1. Tsinghua University, Shenzhen, China

2. Chinese Academy of Sciences, Beijing, China

3. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

4. Beihang University, Beijing, China

5. SenseTime Research, Shenzhen, China

6. Tsinghua University, Beijing, China

7. Sun Yat-sen University, Guanghou, China

Funder

IIE project

the National Program on Key Basic Research Project

International Partnership Program of Chinese Academy of Sciences

National Natural Science Foundation of China

National Natural Science Foundation of China Major Project

CCFTencent Open Research Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240508.3240618

Reference35 articles.

1. Automatic facial makeup detection with application in face recognition

2. Cunjian Chen Antitza Dantcheva and Arun Ross. 2016. An ensemble of patchbased subspaces for makeup-robust face recognition. Information fusion 32 (2016) 80--92. 10.1016/j.inffus.2015.09.005 Cunjian Chen Antitza Dantcheva and Arun Ross. 2016. An ensemble of patchbased subspaces for makeup-robust face recognition. Information fusion 32 (2016) 80--92. 10.1016/j.inffus.2015.09.005

3. Spoofing faces using makeup: An investigative study

4. Yunjey Choi Minje Choi Munyoung Kim Jung-Woo Ha Sunghun Kim and Jaegul Choo. 2017. StarGAN: Unified Generative Adversarial Networks for Multi- Domain Image-to-Image Translation. arXiv preprint arXiv:1711.09020 (2017). Yunjey Choi Minje Choi Munyoung Kim Jung-Woo Ha Sunghun Kim and Jaegul Choo. 2017. StarGAN: Unified Generative Adversarial Networks for Multi- Domain Image-to-Image Translation. arXiv preprint arXiv:1711.09020 (2017).

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