GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

26 November 2018

Jun-Yan Zhu

William T. Freeman

Antonio Torralba

GAN

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Papers citing "GAN Dissection: Visualizing and Understanding Generative Adversarial Networks"

31 / 31 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 351 10,591 0 17 Feb 2020
Video-to-Video Synthesis Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Guilin Liu Andrew Tao Jan Kautz Bryan Catanzaro GAN VGen 93 988 0 20 Aug 2018
Unified Perceptual Parsing for Scene Understanding Tete Xiao Yingcheng Liu Bolei Zhou Yuning Jiang Jian Sun OCL VOS 173 1,871 0 26 Jul 2018
Self-Attention Generative Adversarial Networks Han Zhang Ian Goodfellow Dimitris N. Metaxas Augustus Odena GAN 131 3,720 0 21 May 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 64 333 0 19 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,433 0 16 Feb 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 65 875 0 09 Feb 2018
Interpreting Deep Visual Representations via Network Dissection Bolei Zhou David Bau A. Oliva Antonio Torralba FAtt MILM 58 324 0 15 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 136 3,001 0 08 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 118 7,339 0 27 Oct 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 138 1,514 1 19 Apr 2017
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection Xinyu Wang Abhinav Shrivastava Abhinav Gupta ObjD 80 572 0 11 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 185 9,533 0 31 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,968 0 04 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 311 19,612 0 21 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 266 19,929 0 07 Oct 2016
Generative Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu Philipp Krahenbuhl Eli Shechtman Alexei A. Efros GAN 69 1,396 0 12 Sep 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 72 1,314 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 141 0 31 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 252 3,693 0 26 May 2016
Learning Dense Correspondence via 3D-guided Cycle Consistency Tinghui Zhou Philipp Krahenbuhl Mathieu Aubry Qi-Xing Huang Alexei A. Efros 130 389 0 18 Apr 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks Alexey Dosovitskiy Thomas Brox DRL GAN 89 1,141 0 08 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 13,989 0 19 Nov 2015
Deep multi-scale video prediction beyond mean square error Michaël Mathieu Camille Couprie Yann LeCun GAN 122 1,882 0 17 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 90 2,241 0 18 Jun 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 67 2,331 0 10 Jun 2015
Visualizing and Understanding Recurrent Networks A. Karpathy Justin Johnson Li Fei-Fei HAI 111 1,100 0 05 Jun 2015
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 135 1,283 0 22 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 107 1,963 0 26 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 299 7,289 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 552 15,874 0 12 Nov 2013