The following publications are possibly variants of this publication:
- 3D-Aware Adversarial Makeup Generation for Facial Privacy ProtectionYueming Lyu, Yue Jiang, Ziwen He, Bo Peng 0002, Yunfan Liu, Jing Dong 0003. pami, 45(11):13438-13453, November 2023. [doi]
- Local Facial Makeup Transfer via Disentangled RepresentationZhaoyang Sun, Feng Liu, Wen Liu, Shengwu Xiong, Wenxuan Liu. ACCV 2021: 459-473 [doi]
- Text Style Transferring via Adversarial Masking and Styled FillingJiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao. emnlp 2022: 7654-7663 [doi]
- BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial NetworkTingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan, Wenwu Zhu 0001, Liang Lin. mm 2018: 645-653 [doi]
- Towards Face Encryption by Generating Adversarial Identity MasksXiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su 0006, Jun Zhu 0001, Yuefeng Chen, Hui Xue 0001. iccv 2021: 3877-3887 [doi]
- Development and Application of Facial Makeup TransferFenglu Zhang, Chunman Yan. ifip8-3 2021: 304-308 [doi]
- AdvST: Generating Unrestricted Adversarial Images via Style TransferXiaomeng Wang, Honglong Chen, Peng Sun 0003, Junjian Li, Anqing Zhang, Weifeng Liu 0001, Nan Jiang 0013. tmm, 26:4846-4858, 2024. [doi]
- Facial Makeup Transfer Combining Illumination TransferXin Jin, Rui Han, Ning Ning, Xiaodong Li, Xiaokun Zhang. access, 7:80928-80936, 2019. [doi]
- Adversarial learning with collaborative attention for facial makeup removalXueling Chen, Yu Zhu, Yanning Zhang. ijon, 434:249-260, 2021. [doi]