When and How Can Deep Generative Models be Inverted?

28 June 2020

Papers citing "When and How Can Deep Generative Models be Inverted?"

20 / 20 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 390 10,591 0 17 Feb 2020
Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing Dror Simon Aviad Aberdam 24 22 0 24 Dec 2019
Seeing What a GAN Cannot Generate David Bau Jun-Yan Zhu Jonas Wulff William S. Peebles Hendrik Strobelt Bolei Zhou Antonio Torralba GAN 94 309 0 24 Oct 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari Volkan Cevher GAN 49 44 0 07 Jul 2019
Inverting Deep Generative models, One layer at a time Qi Lei A. Jalal Inderjit S. Dhillon A. Dimakis 45 51 0 18 Jun 2019
PLU: The Piecewise Linear Unit Activation Function Andrei Nicolae 26 32 0 03 Sep 2018
Phase Retrieval Under a Generative Prior Paul Hand Oscar Leong V. Voroninski 66 189 0 11 Jul 2018
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks Jeremias Sulam Aviad Aberdam Amir Beck Michael Elad 61 92 0 02 Jun 2018
Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals Yaniv Romano Aviad Aberdam Jeremias Sulam Michael Elad AAML 42 22 0 29 May 2018
Multi-Layer Sparse Coding: The Holistic Way Aviad Aberdam Jeremias Sulam Michael Elad 54 34 0 25 Apr 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees Viraj Shah Chinmay Hegde GAN 89 166 0 23 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,437 0 16 Feb 2018
Convolutional Analysis Operator Learning: Acceleration and Convergence Il Yong Chun Jeffrey A. Fessler 79 47 0 15 Feb 2018
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning Jeremias Sulam Vardan Papyan Yaniv Romano Michael Elad 86 111 0 29 Aug 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 129 138 0 22 May 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 147 810 0 09 Mar 2017
Generative Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu Philipp Krahenbuhl Eli Shechtman Alexei A. Efros GAN 75 1,396 0 12 Sep 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding Vardan Papyan Yaniv Romano Michael Elad 82 286 0 27 Jul 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 141 0 31 May 2016
Maximal Sparsity with Deep Networks? Bo Xin Yizhou Wang Wen Gao David Wipf 3DPC 70 167 0 05 May 2016