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Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-makeup face.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
Earlier work this paper cites.
Example-based cosmetic transfer
Wai-Shun Tong, Chi-Keung Tang, Michael S. Brown, and Ying-Qing Xu · 2007
Earlier work this paper cites.
Digital face makeup by example
Dong Guo and Terence Sim · 2009
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Representation learning: A review and new perspectives
Yoshua Bengio, Aaron C. Courville, and Pascal Vincent · 2013
Earlier work this paper cites.
Exemplar-based face parsing
Brandon M. Smith, Li Zhang, Jonathan Brandt, Zhe Lin, and Jianchao Yang · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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A neural algorithm of artistic style
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2015
Earlier work this paper cites.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Simulating makeup through physics-based manipulation of intrinsic image layers
Chen Li, Kun Zhou, and Stephen Lin · 2015
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, and Fei-Fei Li · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Lei Jimmy Ba, Ryan Kiros, and Geoffrey E. Hinton · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Cited alongside, same era.
Makeup like a superstar: Deep localized makeup transfer network
Si Liu, Xinyu Ou, Ruihe Qian, Wei Wang, and Xiaochun Cao · 2016
Cited alongside, same era.
Instance normalization: The missing ingredient for fast stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor S. Lempitsky · 2016
Cited alongside, same era.
Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo · 2017
Cited alongside, same era.
Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, and Aaron C. Courville · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros · 2017
Later among the works it cites.
Attention-gan for object transfiguration in wild images
Xinyuan Chen, Chang Xu, Xiaokang Yang, and Dacheng Tao · 2018
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Multimodal unsupervised image-to-image translation
Xun Huang, Ming-Yu Liu, Serge J. Belongie, and Jan Kautz · 2018
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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
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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
Later among the works it cites.
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge J. Belongie · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
Cited alongside, same era.
Learning to discover cross-domain relations with generative adversarial networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, and Jiwon Kim · 2017
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2017
Cited alongside, same era.
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 Y. K. Lau, Zhen Wang, and Stephen Paul Smolley · 2017
Cited alongside, same era.
Dualgan: Unsupervised dual learning for image-to-image translation
Zili Yi, Hao (Richard) Zhang, Ping Tan, and Minglun Gong · 2017
Cited alongside, same era.
Image inpainting for irregular holes using partial convolutions
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, and Bryan Catanzaro · 2018
Later among the works it cites.
Disentangled person image generation
Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, and Mario Fritz · 2018
Later among the works it cites.
Unsupervised attention-guided image-to-image translation
Youssef Alami Mejjati, Christian Richardt, James Tompkin, Darren Cosker, and Kwang In Kim · 2018
Later among the works it cites.
Ganimation: Anatomically-aware facial animation from a single image
Albert Pumarola, Antonio Agudo, Aleix M. Martinez, Alberto Sanfeliu, and Francesc Moreno-Noguer · 2018
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Show, attend and translate: Unsupervised image translation with self-regularization and attention
Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, and C.-C. Jay Kuo · 2018
Later among the works it cites.
Bisenet: Bilateral segmentation network for real-time semantic segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang · 2018
Later among the works it cites.
Generative adversarial network with spatial attention for face attribute editing
Gang Zhang, Meina Kan, Shiguang Shan, and Xilin Chen · 2018
Later among the works it cites.
Maskgan: Towards diverse and interactive facial image manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo · 2019
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