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We propose DiscoFaceGAN, an approach for face image generation of virtual people with disentangled, precisely-controllable latent representations for identity of non-existing people, expression, pose, and illumination.
A morphable model for the synthesis of 3d faces
Volker Blanz, Thomas Vetter, et al · 1999
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Separating style and content with bilinear models
Joshua B Tenenbaum and William T Freeman · 2000
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An efficient representation for irradiance environment maps
Ravi Ramamoorthi and Pat Hanrahan · 2001
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Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Gary B Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller · 2008
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A 3d face model for pose and illumination invariant face recognition
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami Romdhani, and Thomas Vetter · 2009
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Multi-pie
Ralph Gross, Iain Matthews, Jeffrey Cohn, Takeo Kanade, and Simon Baker · 2010
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Disentangling factors of variation via generative entangling
Guillaume Desjardins, Aaron Courville, and Yoshua Bengio · 2012
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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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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Learning to disentangle factors of variation with manifold interaction
Scott Reed, Kihyuk Sohn, Yuting Zhang, and Honglak Lee · 2014
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Effective face frontalization in unconstrained images
Tal Hassner, Shai Harel, Eran Paz, and Roee Enbar · 2015
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Deep convolutional inverse graphics network
Tejas D Kulkarni, William F Whitney, Pushmeet Kohli, and Josh Tenenbaum · 2015
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InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
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Invertible conditional gans for image editing
Guim Perarnau, Joost Van de Weijer, Bogdan Raducanu, and Jose M. Alvarez · 2016
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Understanding visual concepts with continuation learning
William F Whitney, Michael Chang, Tejas Kulkarni, and Joshua B Tenenbaum · 2016
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CVAE-GAN: fine-grained image generation through asymmetric training
Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, and Gang Hua · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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β \beta -VAE: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
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Beyond face rotation: Global and local perception gan for photorealistic and identity preserving frontal view synthesis
Rui Huang, Shu Zhang, Tianyu Li, and Ran He · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Disentangled representation learning gan for pose-invariant face recognition
Luan Tran, Xi Yin, and Xiaoming Liu · 2017
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Neural aggregation network for video face recognition
Jiaolong Yang, Peiran Ren, Dongqing Zhang, Dong Chen, Fang Wen, Hongdong Li, and Gang Hua · 2017
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Towards large-pose face frontalization in the wild
Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, and Manmohan Chandraker · 2017
Cited alongside, same era.
Towards open-set identity preserving face synthesis
Geometry guided adversarial facial expression synthesis
Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, and Tieniu Tan · 2018
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Elegant: Exchanging latent encodings with gan for transferring multiple face attributes
Taihong Xiao, Jiapeng Hong, and Jinwen Ma · 2018
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Towards pose invariant face recognition in the wild
Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Karlekar Jayashree, Sugiri Pranata, Shengmei Shen, Junliang Xing, et al · 2018
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Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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Diagnosing and enhancing vae models
Bin Dai and David Wipf · 2019
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Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, and Gang Hua · 2018
Cited alongside, same era.
Isolating sources of disentanglement in variational autoencoders
Tian Qi Chen, Xuechen Li, Roger B Grosse, and David K Duvenaud · 2018
Cited alongside, same era.
UV-GAN: Adversarial facial uv map completion for pose-invariant face recognition
Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, and Stefanos Zafeiriou · 2018
Cited alongside, same era.
Semantically decomposing the latent spaces of generative adversarial networks
Chris Donahue, Zachary C Lipton, Akshay Balsubramani, and Julian McAuley · 2018
Cited alongside, same era.
Semi-supervised adversarial learning to generate photorealistic face images of new identities from 3d morphable model
Baris Gecer, Binod Bhattarai, Josef Kittler, and Tae-Kyun Kim · 2018
Cited alongside, same era.
Disentangling factors of variation by mixing them
Qiyang Hu, Attila Szabó, Tiziano Portenier, Paolo Favaro, and Matthias Zwicker · 2018
Cited alongside, same era.
Deep video portraits
Hyeongwoo Kim, Pablo Carrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Niessner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, and Christian Theobalt · 2018
Cited alongside, same era.
Yu Deng, Jiaolong Yang, Sicheng Xu, Dong Chen, Yunde Jia, and Xin Tong · 2019
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3d guided fine-grained face manipulation
Zhenglin Geng, Chen Cao, and Sergey Tulyakov · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Face parsing with roi tanh-warping
Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, and Lu Yuan · 2019
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Infogan-cr: Disentangling generative adversarial networks with contrastive regularizers
Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, and Sewoong Oh · 2019
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Challenging common assumptions in the unsupervised learning of disentangled representations
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Raetsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem · 2019
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HoloGAN: Unsupervised learning of 3d representations from natural images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang · 2019
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Semi-supervised monocular 3d face reconstruction with end-to-end shape-preserved domain transfer
Jingtan Piao, Chen Qian, and Hongsheng Li · 2019
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Unsupervised face normalization with extreme pose and expression in the wild
Yichen Qian, Weihong Deng, and Jiani Hu · 2019
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Interpreting the latent space of gans for semantic face editing
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou · 2019
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Single image portrait relighting
Tiancheng Sun, Jonathan T Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul Debevec, and Ravi Ramamoorthi · 2019
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Deep single-image portrait relighting
Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, and David W Jacobs · 2019
Later among the works it cites.
Deep 3d portrait from a single image
Sicheng Xu, Jiaolong Yang, Dong Chen, Fang Wen, Yu Deng, Yunde Jia, and Xin Tong · 2020
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