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The large discrepancy between the source non-makeup image and the reference makeup image is one of the key challenges in makeup transfer.
Disentangled makeup transfer with generative adversarial network
Honglun Zhang, Wenqing Chen, Hao He, and Yaohui Jin · 1907
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Example-based cosmetic transfer
Wai-Shun Tong, Chi-Keung Tang, Michael S Brown, and Ying-Qing Xu · 2007
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Digital face makeup by example
Dong Guo and Terence Sim · 2009
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An automatic framework for example-based virtual makeup
Lin Xu, Yangzhou Du, and Yimin Zhang · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Simulating makeup through physics-based manipulation of intrinsic image layers
Chen Li, Kun Zhou, and Stephen Lin · 2015
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Makeup like a superstar: Deep localized makeup transfer network
Si Liu, Xinyu Ou, Ruihe Qian, Wei Wang, and Xiaochun Cao · 2016
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Fast patch-based style transfer of arbitrary style
Tian Qi Chen and Mark Schmidt · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Earlier work this paper cites.
Visual attribute transfer through deep image analogy
Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, and Sing Bing Kang · 2017
Cited alongside, same era.
Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
Cited alongside, same era.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
Cited alongside, same era.
Pairedcyclegan: Asymmetric style transfer for applying and removing makeup
Huiwen Chang, Jingwan Lu, Fisher Yu, and Adam Finkelstein · 2018
Cited alongside, same era.
Beautygan: Instance-level facial makeup transfer with deep generative adversarial network
Tingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan, Wenwu Zhu, and Liang Lin · 2018
Cited alongside, same era.
Ladn: Local adversarial disentangling network for facial makeup and de-makeup
Qiao Gu, Guanzhi Wang, Mang Tik Chiu, Yu-Wing Tai, and Chi-Keung Tang · 2019
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Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Local facial makeup transfer via disentangled representation
Zhaoyang Sun, Feng Liu, Wen Liu, Shengwu Xiong, and Wenxuan Liu · 2020
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Disentangled representation learning of makeup portraits in the wild
Yi Li, Huaibo Huang, Jie Cao, Ran He, and Tieniu Tan · 2020
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Real-world automatic makeup via identity preservation makeup net
Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, and Jiyong Zhang · 2020
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Psgan: Pose and expression robust spatial-aware gan for customizable makeup transfer
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Diverse image-to-image translation via disentangled representations
Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, and Ming-Hsuan Yang · 2018
Cited alongside, same era.
Glow: Generative flow with invertible 1x1 convolutions
Diederik P Kingma and Prafulla Dhariwal · 2018
Cited alongside, same era.
Semi-parametric image synthesis
Xiaojuan Qi, Qifeng Chen, Jiaya Jia, and Vladlen Koltun · 2018
Cited alongside, same era.
Arbitrary style transfer with deep feature reshuffle
Shuyang Gu, Congliang Chen, Jing Liao, and Lu Yuan · 2018
Cited alongside, same era.
Avatar-net: Multi-scale zero-shot style transfer by feature decoration
Lu Sheng, Ziyi Lin, Jing Shao, and Xiaogang Wang · 2018
Cited alongside, same era.
Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Cited alongside, same era.
Beautyglow: On-demand makeup transfer framework with reversible generative network
Hung-Jen Chen, Ka-Ming Hui, Szu-Yu Wang, Li-Wu Tsao, Hong-Han Shuai, and Wen-Huang Cheng · 2019
Cited alongside, same era.
Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, and Shuicheng Yan · 2020
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Cross-domain correspondence learning for exemplar-based image translation
Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, and Fang Wen · 2020
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Maskgan: Towards diverse and interactive facial image manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo · 2020
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Spatially-invariant style-codes controlled makeup transfer
Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, and Shengfeng He · 2021
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Facial attribute transformers for precise and robust makeup transfer
Zhaoyi Wan, Haoran Chen, Jielei Zhang, Wentao Jiang, Cong Yao, and Jiebo Luo · 2021
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Sogan: 3d-aware shadow and occlusion robust gan for makeup transfer
Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, and Tieniu Tan · 2021
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