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Wasserstein Generative Adversarial Networks (WGANs) can be used to generate realistic samples from complicated image distributions.
Functional analysis. International series in pure and applied mathematics, 1991
Walter Rudin · 1991
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Image processing and analysis: variational, PDE, wavelet, and stochastic methods
Tony F Chan and Jianhong Jackie Shen · 2005
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Optimal transport: old and new
Cédric Villani · 2008
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Encyclopedia of Distances
Michel Marie Deza and Elena Deza · 2009
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Functional analysis, Sobolev spaces and partial differential equations
Haim Brezis · 2010
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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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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky and Léon Bottou · 2017
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Wasserstein Generative Adversarial Networks
Martín Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 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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Approximation and Convergence Properties of Generative Adversarial Learning
Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Energy-based Generative Adversarial Network
Junbo Jake Zhao, Michaël Mathieu, and Yann LeCun · 2017
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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On the regularization of Wasserstein GANs
Henning Petzka, Asja Fischer, and Denis Lukovnikov · 2018
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First Order Generative Adversarial Networks
Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, and Sepp Hochreiter · 2018
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Shuang Liu, Olivier Bousquet, and Kamalika Chaudhuri · 2017
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SGDR: Stochastic Gradient descent with Warm Restarts
Ilya Loshchilov and Frank Hutter · 2017
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Improving the Improved Training of Wasserstein GANs
Xiang Wei, Zixia Liu, Liqiang Wang, and Boqing Gong · 2018
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