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Generative adversarial networks (GAN) have shown remarkable results in image generation tasks.
Learning multiple layers of features from tiny images
A. Krizhevsky et al · 2009
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Explaining and harnessing adversarial examples
I. J. Goodfellow, J. Shlens, and C. Szegedy · 2014
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
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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
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J. H. Lim and J. C. Ye · 2017
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Towards deep learning models resistant to adversarial attacks
A. Madry, A. Makelov, L. Schmidt, D. Tsipras, and A. Vladu · 2017
Cited alongside, same era.
Least squares generative adversarial networks
X. Mao, Q. Li, H. Xie, R. Y. Lau, Z. Wang, and S. Paul Smolley · 2017
Cited alongside, same era.
The numerics of gans
L. Mescheder, S. Nowozin, and A. Geiger · 2017
Cited alongside, same era.
Conditional image synthesis with auxiliary classifier gans
A. Odena, C. Olah, and J. Shlens · 2017
Cited alongside, same era.
Large scale gan training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2018
Cited alongside, same era.
Don’t let your discriminator be fooled
B. Zhou and P. Krähenbühl · 2018
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Twin auxilary classifiers gan
M. Gong, Y. Xu, C. Li, K. Zhang, and K. Batmanghelich · 2019
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What is local optimality in nonconvex-nonconcave minimax optimization?
C. Jin, P. Netrapalli, and M. I. Jordan · 2019
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Rob-gan: Generator, discriminator, and adversarial attacker
X. Liu and C.-J. Hsieh · 2019
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Adversarial training generalizes data-dependent spectral norm regularization
K. Roth, Y. Kilcher, and T. Hofmann · 2019
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L. Mescheder, A. Geiger, and S. Nowozin · 2018
Cited alongside, same era.
Spectral normalization for generative adversarial networks
T. Miyato, T. Kataoka, M. Koyama, and Y. Yoshida · 2018
Cited alongside, same era.
cgans with projection discriminator
T. Miyato and M. Koyama · 2018
Cited alongside, same era.
On the convergence and robustness of training gans with regularized optimal transport
M. Sanjabi, J. Ba, M. Razaviyayn, and J. D. Lee · 2018
Cited alongside, same era.
Self-attention generative adversarial networks
H. Zhang, I. Goodfellow, D. Metaxas, and A. Odena · 2018
Cited alongside, same era.
A. Shafahi, M. Najibi, A. Ghiasi, Z. Xu, J. Dickerson, C. Studer, L. S. Davis, G. Taylor, and T. Goldstein · 2019
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On solving minimax optimization locally: A follow-the-ridge approach
Y. Wang, G. Zhang, and J. Ba · 2019
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Logan: Latent optimisation for generative adversarial networks
Y. Wu, J. Donahue, D. Balduzzi, K. Simonyan, and T. Lillicrap · 2019
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Lipschitz generative adversarial nets
Z. Zhou, J. Liang, Y. Song, L. Yu, H. Wang, W. Zhang, Y. Yu, and Z. Zhang · 2019
Later among the works it cites.