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Generative models are successfully used for image synthesis in the recent years.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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Nips 2016 tutorial: Generative adversarial networks
I. Goodfellow · 2016
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Cloud tpu
Google · 2016
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Adversarial machine learning
G. B. Ian Goodfellow, Staff Research Scientist · 2016
Earlier work this paper cites.
Semi-supervised learning with generative adversarial networks
A. Odena · 2016
Earlier work this paper cites.
Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
Earlier work this paper cites.
Wavenet: A generative model for raw audio
A. Van Den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. W. Senior, and K. Kavukcuoglu · 2016
Earlier work this paper cites.
Synthetic speech commands dataset
J. Buchner · 2017
Earlier work this paper cites.
Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
Adversarial learning for neural dialogue generation
J. Li, W. Monroe, T. Shi, S. Jean, A. Ritter, and D. Jurafsky · 2017
Cited alongside, same era.
Segan: Speech enhancement generative adversarial network
S. Pascual, A. Bonafonte, and J. Serra · 2017
Cited alongside, same era.
Adversarial generation of natural language
S. Rajeswar, S. Subramanian, F. Dutil, C. Pal, and A. Courville · 2017
Cited alongside, same era.
Seqgan: Sequence generative adversarial nets with policy gradient
L. Yu, W. Zhang, J. Wang, and Y. Yu · 2017
Later among the works it cites.
Generative adversarial networks for extreme learned image compression
E. Agustsson, M. Tschannen, F. Mentzer, R. Timofte, and L. Van Gool · 2018
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S. Barratt and R. Sharma · 2018
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The challenge of realistic music generation: modelling raw audio at scale
S. Dieleman, A. v. d. Oord, and K. Simonyan · 2018
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Semi-supervised learning with generative adversarial networks
L. Schoneveld · 2017
Cited alongside, same era.
Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. Skerry-Ryan, et al · 2017
Cited alongside, same era.
Tacotron: Towards end-to-end speech synthesis
Y. Wang, R. Skerry-Ryan, D. Stanton, Y. Wu, R. J. Weiss, N. Jaitly, Z. Yang, Y. Xiao, Z. Chen, S. Bengio, et al · 2017
Cited alongside, same era.
Improving neural machine translation with conditional sequence generative adversarial nets
Z. Yang, W. Chen, F. Wang, and B. Xu · 2017
Cited alongside, same era.
C. Donahue, J. McAuley, and M. Puckette · 2018
Closest in time.
Feature-wise transformations
V. Dumoulin, E. Perez, N. Schucher, F. Strub, H. d. Vries, A. Courville, and Y. Bengio · 2018
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An introduction to image synthesis with generative adversarial nets
H. Huang, P. S. Yu, and C. Wang · 2018
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Efficient neural audio synthesis
N. Kalchbrenner, E. Elsen, K. Simonyan, S. Noury, N. Casagrande, E. Lockhart, F. Stimberg, A. v. d. Oord, S. Dieleman, and K. Kavukcuoglu · 2018
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The gan landscape: Losses, architectures, regularization, and normalization
K. Kurach, M. Lucic, X. Zhai, M. Michalski, and S. Gelly · 2018
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