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While the quality of GAN image synthesis has improved tremendously in recent years, our ability to control and condition the output is still limited.
Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
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Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A. Efros · 2004
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Expression flow for 3d-aware face component transfer
Fei Yang, Ju Wang, Eli Shechtman, Lubomir Bourdev, and Dimitri Metaxas · 2011
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Spherical k-means clustering
Christian Buchta, Martin Kober, Ingo Feinerer, and Kurt Hornik · 2012
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Generative adversarial nets
I. Goodfellow, M. Pouget-Abadie, B. Mirza, D. Xu, S. WardeFarley, A. Ozair, A. Courville, and Y. Bengio · 2014
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Photorealistic face de-identification by aggregating donors face components
Saleh Mosaddegh, Loïc Simon, and Frédéric Jurie · 2014
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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
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Image style transfer using convolutional neural networks
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2016
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Invertible conditional GANs for image editing
Guim Perarnau, Joost Van de Weijer, and Bogdan Raducanu · 2016
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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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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Fast face-swap using convolutional neural networks
Iryna Korshunova, Wenzhe Shi, Joni Dambre, and Lucas Theis · 2017
Cited alongside, same era.
Fader networks: Manipulating images by sliding attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, and Marc’Aurelio Ranzato · 2017
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Demystifying neural style transfer
Yanghao Li, Naiyan Wang, Jiaying Liu, and Xiaodi Hou · 2017
Cited alongside, same era.
Neural face editing with intrinsic image disentangling
Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, and Dimitris Samaras · 2017
Cited alongside, same era.
GAN dissection: Visualizing and understanding gans
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, and Antonio Torralba · 2018
Cited alongside, same era.
Deep feature factorization for concept discovery
Spatially controllable image synthesis with internal representation collaging
Ryohei Suzuki, Masanori Koyama, Takeru Miyato, Taizan Yonetsuji, and Huachun Zhu · 2018
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Generative adversarial network with spatial attention for face attribute editing
Gang Zhang, Meina Kan, Shiguang Shan, and Xilin Chen · 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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Biofacenet: Deep biophysical face image interpretation
Sarah Alotaibi and William A. P. Smith · 2019
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Large scale GAN training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2019
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Edo Collins, Radhakrishna Achanta, and Sabine Susstrunk · 2018
Cited alongside, same era.
Generative adversarial networks: An overview
Antonio Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, and Anil A. Bharath · 2018
Cited alongside, same era.
Towards a definition of disentangled representations
Irina Higgins, David Amos, David Pfau, Sebastien Racaniere, Loic Matthey, Danilo Rezende, and Alexander Lerchner · 2018
Cited alongside, same era.
An introduction to image synthesis with generative adversarial nets
He Huang, Philip S. Yu, and Changhu Wang · 2018
Cited alongside, same era.
Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Cited alongside, same era.
RSGAN: face swapping and editing using face and hair representation in latent space
Ryota Natsume, Tatsuya Yatagawa, and Shigeo Morishim · 2018
Cited alongside, same era.
AttGAN: Facial attribute editing by only changing what you want
Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen · 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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Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2019
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A survey on face data augmentation
Xiang Wang, Kai Wang, and Shiguo Lian · 2019
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Interpreting the latent space of GANs for semantic face editing
Xiaoou Tang Bolei Zhou Yujun Shen, Jinjin Gu · 2019
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