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Spectral Normalization for Generative Adversarial Networks

Spectral Normalization for Generative Adversarial Networks

16 February 2018
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
    ODL
ArXiv (abs)PDFHTML

Papers citing "Spectral Normalization for Generative Adversarial Networks"

50 / 1,466 papers shown
Title
Generative Adversarial Network Training is a Continual Learning Problem
Generative Adversarial Network Training is a Continual Learning Problem
Kevin J. Liang
Chunyuan Li
Guoyin Wang
Lawrence Carin
GAN
46
50
0
27 Nov 2018
Learning View Priors for Single-view 3D Reconstruction
Learning View Priors for Single-view 3D Reconstruction
Hiroharu Kato
Tatsuya Harada
115
80
0
26 Nov 2018
GAN Dissection: Visualizing and Understanding Generative Adversarial
  Networks
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Bolei Zhou
J. Tenenbaum
William T. Freeman
Antonio Torralba
GAN
29
0
0
26 Nov 2018
Spatially Controllable Image Synthesis with Internal Representation
  Collaging
Spatially Controllable Image Synthesis with Internal Representation Collaging
Ryohei Suzuki
Masanori Koyama
Takeru Miyato
Taizan Yonetsuji
Huachun Zhu
76
41
0
26 Nov 2018
Tell, Draw, and Repeat: Generating and Modifying Images Based on
  Continual Linguistic Instruction
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby
Shikhar Sharma
Hannes Schulz
Devon Hjelm
Layla El Asri
Samira Ebrahimi Kahou
Yoshua Bengio
Graham W.Taylor
VLM
111
123
0
24 Nov 2018
How does Lipschitz Regularization Influence GAN Training?
How does Lipschitz Regularization Influence GAN Training?
Yipeng Qin
Niloy Mitra
Peter Wonka
AI4CE
71
17
0
23 Nov 2018
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training
  of High-resolution Temporal GAN
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN
Masaki Saito
Shunta Saito
Masanori Koyama
Sosuke Kobayashi
96
147
0
22 Nov 2018
Spread Divergence
Spread Divergence
Mingtian Zhang
Peter Hayes
Thomas Bird
Raza Habib
David Barber
MedImUD
96
20
0
21 Nov 2018
Adversarial Feedback Loop
Adversarial Feedback Loop
Firas Shama
Roey Mechrez
Alon Shoshan
Lihi Zelnik-Manor
68
22
0
20 Nov 2018
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Guanya Shi
Xichen Shi
Michael O'Connell
Rose Yu
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
115
276
0
19 Nov 2018
Generalizable Adversarial Training via Spectral Normalization
Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia
Jesse M. Zhang
David Tse
OODAAML
90
140
0
19 Nov 2018
Multimodal Densenet
Multimodal Densenet
Faisal Mahmood
Ziyun Yang
Thomas Ashley
Nicholas J. Durr
129
11
0
18 Nov 2018
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz
  Constraint
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint
Jianlin Su
GAN
35
25
0
18 Nov 2018
Sorting out Lipschitz function approximation
Sorting out Lipschitz function approximation
Cem Anil
James Lucas
Roger C. Grosse
98
325
0
13 Nov 2018
Learning Segmentation Masks with the Independence Prior
Learning Segmentation Masks with the Independence Prior
Songmin Dai
Xiaoqiang Li
Lu Wang
Pin Wu
Weiqin Tong
Yimin Chen
ISegGAN
64
3
0
12 Nov 2018
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured
  Autonomy
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy
Naman Patel
Apoorva Nandini Saridena
A. Choromańska
Prashanth Krishnamurthy
Farshad Khorrami
57
18
0
12 Nov 2018
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text
  Generation
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation
Xiang Zhang
Yann LeCun
19
0
0
10 Nov 2018
Triple consistency loss for pairing distributions in GAN-based face
  synthesis
Triple consistency loss for pairing distributions in GAN-based face synthesis
G. Sarma
Michel Valstar
CVBM
120
24
0
08 Nov 2018
Robustness of Conditional GANs to Noisy Labels
Robustness of Conditional GANs to Noisy Labels
Kerry J. Halupka
A. Khetan
Zinan Lin
Stephen Moore
NoLa
84
81
0
08 Nov 2018
Improving GAN with neighbors embedding and gradient matching
Improving GAN with neighbors embedding and gradient matching
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-Man Cheung
GAN
68
16
0
04 Nov 2018
Learning to Defend by Learning to Attack
Learning to Defend by Learning to Attack
Haoming Jiang
Zhehui Chen
Yuyang Shi
Bo Dai
T. Zhao
108
22
0
03 Nov 2018
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCVTPM
183
625
0
02 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial
  Learning
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Wenbin Li
Wei Xiong
Haofu Liao
Jing Huo
Yang Gao
Jiebo Luo
GAN
109
44
0
01 Nov 2018
Mixture Density Generative Adversarial Networks
Mixture Density Generative Adversarial Networks
Hamid Eghbalzadeh
Werner Zellinger
Gerhard Widmer
GAN
87
39
0
31 Oct 2018
Generative Adversarial Networks for Unpaired Voice Transformation on
  Impaired Speech
Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech
Li-Wei Chen
Hung-yi Lee
Yu Tsao
69
25
0
30 Oct 2018
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix
  of Neural Networks and Its Applications
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
Huan Zhang
Pengchuan Zhang
Cho-Jui Hsieh
AAML
72
63
0
28 Oct 2018
A Convex Duality Framework for GANs
A Convex Duality Framework for GANs
Farzan Farnia
David Tse
GAN
70
63
0
28 Oct 2018
Self-Supervised GAN to Counter Forgetting
Self-Supervised GAN to Counter Forgetting
Ting Chen
Xiaohua Zhai
N. Houlsby
CLLGANSSL
82
8
0
27 Oct 2018
DeepLSR: a deep learning approach for laser speckle reduction
DeepLSR: a deep learning approach for laser speckle reduction
Taylor L. Bobrow
Faisal Mahmood
Miguel Inserni
Nicholas J. Durr
MedIm
98
28
0
23 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep
  CNNs?
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal
Xiaohan Chen
Zhangyang Wang
OOD
114
188
0
22 Oct 2018
Investigating Object Compositionality in Generative Adversarial Networks
Investigating Object Compositionality in Generative Adversarial Networks
Sjoerd van Steenkiste
Karol Kurach
Jürgen Schmidhuber
Sylvain Gelly
GANOCL
98
20
0
17 Oct 2018
Discriminator Rejection Sampling
Discriminator Rejection Sampling
S. Azadi
Catherine Olsson
Trevor Darrell
Ian Goodfellow
Augustus Odena
77
131
0
16 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced
  Engineering Design and Analysis
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
M. A. Nabian
Hadi Meidani
PINNAI4CE
84
58
0
11 Oct 2018
Pairwise Augmented GANs with Adversarial Reconstruction Loss
Pairwise Augmented GANs with Adversarial Reconstruction Loss
Aibek Alanov
Max Kochurov
D. Yashkov
Dmitry Vetrov
GAN
26
3
0
11 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample
  Likelihoods in GANs
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji
Hamed Hassani
Rama Chellappa
Soheil Feizi
GANDRL
88
21
0
09 Oct 2018
Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of
  Margin Dynamics
Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics
Weizhi Zhu
Yifei Huang
Yuan Yao
AI4CEOOD
20
1
0
08 Oct 2018
Robust Estimation and Generative Adversarial Nets
Robust Estimation and Generative Adversarial Nets
Chao Gao
Jiyi Liu
Yuan Yao
Weizhi Zhu
151
28
0
04 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative
  Models
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl
Ricky T. Q. Chen
J. Bettencourt
Ilya Sutskever
David Duvenaud
DRL
169
883
0
02 Oct 2018
On Self Modulation for Generative Adversarial Networks
On Self Modulation for Generative Adversarial Networks
Ting Chen
Mario Lucic
N. Houlsby
Sylvain Gelly
GAN
94
105
0
02 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss
Chris Finlay
Adam M. Oberman
B. Abbasi
93
34
0
01 Oct 2018
Variational Discriminator Bottleneck: Improving Imitation Learning,
  Inverse RL, and GANs by Constraining Information Flow
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Xue Bin Peng
Angjoo Kanazawa
Sam Toyer
Pieter Abbeel
Sergey Levine
121
216
0
01 Oct 2018
A Kernel Perspective for Regularizing Deep Neural Networks
A Kernel Perspective for Regularizing Deep Neural Networks
A. Bietti
Grégoire Mialon
Dexiong Chen
Julien Mairal
82
15
0
30 Sep 2018
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in
  Histopathology Images
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Faisal Mahmood
Daniel Borders
Richard J. Chen
Gregory N. McKay
Kevan J. Salimian
Alexander S. Baras
Nicholas J. Durr
GANMedIm
106
289
0
29 Sep 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
299
5,417
0
28 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GANMedIm
137
1,405
0
19 Sep 2018
On the Learning Dynamics of Deep Neural Networks
On the Learning Dynamics of Deep Neural Networks
Rémi Tachet des Combes
Mohammad Pezeshki
Samira Shabanian
Aaron Courville
Yoshua Bengio
87
38
0
18 Sep 2018
Latent Space Optimal Transport for Generative Models
Latent Space Optimal Transport for Generative Models
Huidong Liu
Yang Guo
Na Lei
Zhixin Shu
S. Yau
Dimitris Samaras
X. Gu
OTDRL
54
7
0
16 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk
Stephen Pfohl
Ben J. Marafino
Adrien Coulet
F. Rodriguez
L. Palaniappan
N. Shah
71
68
0
12 Sep 2018
Adversarial Learning for Image Forensics Deep Matching with Atrous
  Convolution
Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution
Yaqi Liu
Xianfeng Zhao
Xiaobin Zhu
Yun Cao
GAN
35
2
0
08 Sep 2018
Lipschitz Networks and Distributional Robustness
Lipschitz Networks and Distributional Robustness
Zac Cranko
Simon Kornblith
Zhan Shi
Richard Nock
OOD
63
11
0
04 Sep 2018
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