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High-quality, diverse, and photorealistic images can now be generated by unconditional GANs (e.g., StyleGAN).
Disentangled Inference for GANs with Latently Invertible Autoencoder
Jiapeng Zhu, Deli Zhao, Bo Zhang, and Bolei Zhou. 2019b · 1906
Earlier work this paper cites.
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo. 2019 · 1907
Earlier work this paper cites.
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou. 2019 · 1907
Earlier work this paper cites.
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer
Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, and Shuicheng Yan. 2019 · 1909
Earlier work this paper cites.
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha. 2019 · 1912
Earlier work this paper cites.
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2019a · 1912
Earlier work this paper cites.
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, and Anima Anandkumar. 2020 · 2003
Earlier work this paper cites.
First Order Motion Model for Image Animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe. 2020 · 2003
Earlier work this paper cites.
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu, Yujun Shen, Deli Zhao, and Bolei Zhou. 2020 · 2004
Earlier work this paper cites.
Disentangling in Latent Space by Harnessing a Pretrained Generator
Yotam Nitzan, Amit Bermano, Yangyan Li, and Daniel Cohen-Or. 2020 · 2005
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. 2009 · 2009
Earlier work this paper cites.
IMPA-FACE3D
IMPA-FACE3D. 2012 · 2012
Earlier work this paper cites.
Auto-Encoding Variational Bayes
Diederik P Kingma and Max Welling. 2013 · 2013
Earlier work this paper cites.
3D Object Representations for Fine-Grained Categorization. In 4th International IEEE Workshop on 3D Representation and Recognition (3dRR-13) . Sydney, Australia
Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei. 2013 · 2013
Earlier work this paper cites.
Generative adversarial nets. In Advances in neural information processing systems . 2672–2680
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Conditional Generative Adversarial Nets
Mehdi Mirza and Simon Osindero. 2014 · 2014
Earlier work this paper cites.
Variational inference with normalizing flows
Danilo Jimenez Rezende and Shakir Mohamed. 2015 · 2015
Earlier work this paper cites.
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, and Jianxiong Xiao. 2015 · 2015
Earlier work this paper cites.
Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition . 770–778
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Earlier work this paper cites.
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. In International Conference on Learning Representations, ICLR
Alec Radford, Luke Metz, and Soumith Chintala. 2016 · 2016
Earlier work this paper cites.
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, and Koray Kavukcuoglu. 2016 · 2016
Earlier work this paper cites.
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A. Efros. 2016 · 2016
Earlier work this paper cites.
Interactive example-based terrain authoring with conditional generative adversarial networks
Éric Guérin, Julie Digne, Eric Galin, Adrien Peytavie, Christian Wolf, Bedrich Benes, and Benoît Martinez. 2017 · 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 · 2017
Cited alongside, same era.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. 2017 · 2017
Cited alongside, same era.
Learning to discover cross-domain relations with generative adversarial networks. In Proceedings of the 34th International Conference on Machine Learning-Volume 70 . JMLR. org, 1857–1865
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, and Jiwon Kim. 2017 · 2017
Cited alongside, same era.
Dualgan: Unsupervised dual learning for image-to-image translation. In Proceedings of the IEEE international conference on computer vision . 2849–2857
Zili Yi, Hao Zhang, Ping Tan, and Minglun Gong. 2017 · 2017
Text-Based Editing of Talking-Head Video
Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, and Maneesh Agrawala. 2019 · 2019
Later among the works it cites.
The relightables: volumetric performance capture of humans with realistic relighting
Kaiwen Guo, Peter Lincoln, Philip Davidson, Jay Busch, Xueming Yu, Matt Whalen, Geoff Harvey, Sergio Orts-Escolano, Rohit Pandey, Jason Dourgarian, et al · 2019
Later among the works it cites.
SC-FEGAN: Face Editing Generative Adversarial Network With User’s Sketch and Color. In The IEEE International Conference on Computer Vision (ICCV)
Youngjoo Jo and Jongyoul Park. 2019 · 2019
Later among the works it cites.
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, and Timo Aila. 2019b · 2019
Later among the works it cites.
Semantic Image Synthesis with Spatially-Adaptive Normalization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu. 2019 · 2019
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Cited alongside, same era.
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan. 2018 · 2018
Cited alongside, same era.
Neural ordinary differential equations. In Advances in neural information processing systems . 6571–6583
Tian Qi Chen, Yulia Rubanova, Jesse Bettencourt, and David K Duvenaud. 2018 · 2018
Cited alongside, same era.
StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo. 2018 · 2018
Cited alongside, same era.
Ffjord: Free-form continuous dynamics for scalable reversible generative models
Will Grathwohl, Ricky TQ Chen, Jesse Bettencourt, Ilya Sutskever, and David Duvenaud. 2018 · 2018
Cited alongside, same era.
Deep blending for free-viewpoint image-based rendering
Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, and Gabriel Brostow. 2018 · 2018
Cited alongside, same era.
Deep video portraits
Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, and Christian Theobalt. 2018 · 2018
Cited alongside, same era.
LookinGood: enhancing performance capture with real-time neural re-rendering
Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien Valentin, Sameh Khamis, Philip Davidson, Anastasia Tkach, Peter Lincoln, et al · 2018
Cited alongside, same era.
Later among the works it cites.
Textured neural avatars. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 2387–2397
Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, et al · 2019
Later among the works it cites.
Deepvoxels: Learning persistent 3d feature embeddings. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 2437–2446
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhofer. 2019 · 2019
Later among the works it cites.
Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner. 2019 · 2019
Later among the works it cites.
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan. 2019 · 2019
Later among the works it cites.
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, and Victor Lempitsky. 2019 · 2019
Later among the works it cites.
Deep Single Portrait Image Relighting. In International Conference on Computer Vision (ICCV)
Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, and David W. Jacobs. 2019 · 2019
Later among the works it cites.
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization
Peihao Zhu, Rameen Abdal, Yipeng Qin, and Peter Wonka. 2019a · 2019
Later among the works it cites.
Image2StyleGAN++: How to Edit the Embedded Images?. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Rameen Abdal, Yipeng Qin, and Peter Wonka. 2020 · 2020
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GitHub - Face Recognition
Adam Geitgey. 2020 · 2020
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GANSpace: Discovering Interpretable GAN Controls
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, and Sylvain Paris. 2020 · 2020
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Azure Face
Microsoft. 2020 · 2020
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Spectrico. 2020 · 2020
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Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, and Nenghai Yu. 2020 · 2020
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State of the Art on Neural Rendering
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