Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

2 March 2021

Jan Stanczuk

Christian Etmann

L. Kreusser

Carola-Bibiane Schönlieb

GAN

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Papers citing "Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)"

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Title
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 180 0 0 10 Oct 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 273 30,109 0 01 Mar 2022
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 231 271 0 18 Apr 2021
Implicit competitive regularization in GANs Florian Schäfer Hongkai Zheng Anima Anandkumar GAN 33 35 0 13 Oct 2019
Learning with minibatch Wasserstein : asymptotic and gradient properties Kilian Fatras Younes Zine Rémi Flamary Rémi Gribonval Nicolas Courty OT 56 96 0 09 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 39 25 0 09 Oct 2019
On the estimation of the Wasserstein distance in generative models Thomas Pinetz Daniel Soukup Thomas Pock GAN 46 9 0 02 Oct 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 38 17 0 08 Jun 2019
Wasserstein GAN Can Perform PCA Jaewoong Cho Changho Suh GAN 39 5 0 25 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs Anton Mallasto J. Frellsen Wouter Boomsma Aasa Feragen 42 15 0 10 Feb 2019
Subspace Robust Wasserstein Distances François-Pierre Paty Marco Cuturi 149 155 0 25 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 572 10,555 0 12 Dec 2018
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 86 322 0 13 Nov 2018
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 58 527 0 18 Oct 2018
Sample Complexity of Sinkhorn divergences Aude Genevay Lénaïc Chizat Francis R. Bach Marco Cuturi Gabriel Peyré OT 75 288 0 05 Oct 2018
Adversarial Regularizers in Inverse Problems Sebastian Lunz Ozan Oktem Carola-Bibiane Schönlieb GAN MedIm 84 220 0 29 May 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 55 226 0 29 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 217 2,147 0 01 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,437 0 16 Feb 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 122 3,151 0 29 Nov 2017
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 60 1,011 0 28 Nov 2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step W. Fedus Mihaela Rosca Balaji Lakshminarayanan Andrew M. Dai S. Mohamed Ian Goodfellow GAN 58 211 0 23 Oct 2017
A Geometric View of Optimal Transportation and Generative Model Na Lei Kehua Su Li-min Cui S. Yau X. Gu GAN OT 49 134 0 16 Oct 2017
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance Jonathan Niles-Weed Francis R. Bach 189 421 0 01 Jul 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 173 629 0 01 Jun 2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients Marc G. Bellemare Ivo Danihelka Will Dabney S. Mohamed Balaji Lakshminarayanan Stephan Hoyer Rémi Munos GAN 74 344 0 30 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 201 9,546 0 31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks David Berthelot Tom Schumm Luke Metz GAN 100 1,154 0 31 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 81 2,106 0 17 Jan 2017
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 329 4,573 0 13 Nov 2016
Inductive Bias of Deep Convolutional Networks through Pooling Geometry Nadav Cohen Amnon Shashua 58 134 0 22 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 253 14,008 0 19 Nov 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 241 8,402 0 28 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,262 0 04 Jun 2013
Learning Probability Measures with respect to Optimal Transport Metrics Guillermo D. Cañas Lorenzo Rosasco OT 85 100 0 05 Sep 2012