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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 / 1,468 papers shown
Title
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial
  Networks
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
Gulcin Baykal
Furkan Ozcelik
Gözde B. Ünal
51
16
0
03 Nov 2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
Huajie Shao
Zhisheng Xiao
Shuochao Yao
Aston Zhang
Shengzhong Liu
Tarek Abdelzaher
DRL
103
16
0
31 Oct 2020
Perception Matters: Exploring Imperceptible and Transferable
  Anti-forensics for GAN-generated Fake Face Imagery Detection
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection
Yongwei Wang
Xin Ding
Li Ding
Rabab Ward
Z. J. Wang
AAML
41
21
0
29 Oct 2020
Training Generative Adversarial Networks by Solving Ordinary
  Differential Equations
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Chongli Qin
Yan Wu
Jost Tobias Springenberg
Andrew Brock
Jeff Donahue
Timothy Lillicrap
Pushmeet Kohli
GAN
92
31
0
28 Oct 2020
SCFusion: Real-time Incremental Scene Reconstruction with Semantic
  Completion
SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion
Shun-cheng Wu
Keisuke Tateno
Nassir Navab
Federico Tombari
99
39
0
26 Oct 2020
Train simultaneously, generalize better: Stability of gradient-based
  minimax learners
Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia
Asuman Ozdaglar
73
48
0
23 Oct 2020
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
93
100
0
22 Oct 2020
NU-GAN: High resolution neural upsampling with GAN
NU-GAN: High resolution neural upsampling with GAN
Rithesh Kumar
Kundan Kumar
Vicki Anand
Yoshua Bengio
Aaron Courville
65
26
0
22 Oct 2020
Class-Conditional Defense GAN Against End-to-End Speech Attacks
Class-Conditional Defense GAN Against End-to-End Speech Attacks
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
AAML
46
14
0
22 Oct 2020
Black-Box Ripper: Copying black-box models using generative evolutionary
  algorithms
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Bărbălău
Adrian Cosma
Radu Tudor Ionescu
Marius Popescu
MIACVMLAU
95
44
0
21 Oct 2020
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic
  Noise in StyleGAN
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Christian Bartz
Joseph Bethge
Haojin Yang
Christoph Meinel
67
16
0
21 Oct 2020
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
Parth Patel
Nupur Kumari
M. Singh
Balaji Krishnamurthy
74
19
0
19 Oct 2020
How much progress have we made in neural network training? A New
  Evaluation Protocol for Benchmarking Optimizers
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Yuanhao Xiong
Xuanqing Liu
Li-Cheng Lan
Yang You
Si Si
Cho-Jui Hsieh
OOD
99
1
0
19 Oct 2020
Facial Emotion Recognition with Noisy Multi-task Annotations
Facial Emotion Recognition with Noisy Multi-task Annotations
Siwei Zhang
Zhiwu Huang
D. Paudel
Luc Van Gool
CVBM
61
10
0
19 Oct 2020
Imitation with Neural Density Models
Imitation with Neural Density Models
Kuno Kim
Akshat Jindal
Yang Song
Jiaming Song
Yanan Sui
Stefano Ermon
84
13
0
19 Oct 2020
Multi-Modal Super Resolution for Dense Microscopic Particle Size
  Estimation
Multi-Modal Super Resolution for Dense Microscopic Particle Size Estimation
Sarvesh Patil
Chava Y P D Phani Rajanish
N. Margankunte
MedIm
25
0
0
19 Oct 2020
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Zhanwei Xu
Yukun Cao
Cheng Jin
Guozhu Shao
Xiaoqing Liu
Jie Zhou
Heshui Shi
Jianjiang Feng
MedIm
81
25
0
19 Oct 2020
Self-Attention Generative Adversarial Network for Speech Enhancement
Self-Attention Generative Adversarial Network for Speech Enhancement
Huy P Phan
Huy Le Nguyen
Oliver Y. Chén
P. Koch
Ngoc Q. K. Duong
Ian Mcloughlin
Alfred Mertins
GAN
60
26
0
18 Oct 2020
On the Guaranteed Almost Equivalence between Imitation Learning from
  Observation and Demonstration
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
Zhihao Cheng
Liu Liu
Aishan Liu
Hao Sun
Meng Fang
Dacheng Tao
40
10
0
16 Oct 2020
Physics-informed GANs for Coastal Flood Visualization
Physics-informed GANs for Coastal Flood Visualization
Björn Lütjens
B. Leshchinskiy
C. Requena-Mesa
F. Chishtie
Natalia Díaz Rodríguez
...
A. Piña
Dava Newman
Alexander Lavin
Y. Gal
Chedy Raïssi
AI4CE
48
15
0
16 Oct 2020
Non-saturating GAN training as divergence minimization
Non-saturating GAN training as divergence minimization
Matt Shannon
Ben Poole
Soroosh Mariooryad
Tom Bagby
Eric Battenberg
David Kao
Daisy Stanton
RJ Skerry-Ryan
GAN
67
17
0
15 Oct 2020
Learning Deep Features in Instrumental Variable Regression
Learning Deep Features in Instrumental Variable Regression
Liyuan Xu
Yutian Chen
Siddarth Srinivasan
Nando de Freitas
Arnaud Doucet
Arthur Gretton
CMLOOD
105
71
0
14 Oct 2020
Experimental Quantum Generative Adversarial Networks for Image
  Generation
Experimental Quantum Generative Adversarial Networks for Image Generation
Heliang Huang
Yuxuan Du
Mingming Gong
You-Wei Zhao
Yulin Wu
...
Chao Lu
Yu-Ao Chen
Dacheng Tao
Xiaobo Zhu
Jian-Wei Pan
GAN
89
183
0
13 Oct 2020
Conditioning Trick for Training Stable GANs
Conditioning Trick for Training Stable GANs
Mohammad Esmaeilpour
Raymel Alfonso Sallo
Olivier St-Georges
P. Cardinal
Alessandro Lameiras Koerich
41
0
0
12 Oct 2020
Intuitive Facial Animation Editing Based On A Generative RNN Framework
Intuitive Facial Animation Editing Based On A Generative RNN Framework
Eloïse Berson
Catherine Soladié
Nicolas Stoiber
3DHCVBM
56
7
0
12 Oct 2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High
  Fidelity Speech Synthesis
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong
Jaehyeon Kim
Jaekyoung Bae
183
1,958
0
12 Oct 2020
Omni-Directional Image Generation from Single Snapshot Image
Omni-Directional Image Generation from Single Snapshot Image
K. Okubo
Takao Yamanaka
VLMVGen
40
4
0
12 Oct 2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing
Diagnosing and Preventing Instabilities in Recurrent Video Processing
T. Tanay
Aivar Sootla
Matteo Maggioni
P. Dokania
Philip Torr
A. Leonardis
Greg Slabaugh
72
7
0
10 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of
  energy-based models
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl
Jacob Kelly
Milad Hashemi
Mohammad Norouzi
Kevin Swersky
David Duvenaud
120
72
0
08 Oct 2020
On the Evaluation of Generative Adversarial Networks By Discriminative
  Models
On the Evaluation of Generative Adversarial Networks By Discriminative Models
A. Torfi
Mohammadreza Beyki
Edward A. Fox
EGVM
114
7
0
07 Oct 2020
Winning Lottery Tickets in Deep Generative Models
Winning Lottery Tickets in Deep Generative Models
Neha Kalibhat
Yogesh Balaji
Soheil Feizi
WIGM
101
42
0
05 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning
  Theory
Improving Few-Shot Learning through Multi-task Representation Learning Theory
Quentin Bouniot
I. Redko
Romaric Audigier
Angélique Loesch
Amaury Habrard
105
10
0
05 Oct 2020
Unsupervised Region-based Anomaly Detection in Brain MRI with
  Adversarial Image Inpainting
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting
B. Nguyen
Adam Feldman
S. Bethapudi
A. Jennings
Chris G. Willcocks
89
29
0
05 Oct 2020
Painting Outside as Inside: Edge Guided Image Outpainting via
  Bidirectional Rearrangement with Progressive Step Learning
Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning
Kyunghun Kim
Yeohun Yun
Keon-Woo Kang
Kyungbo Gong
Siyeong Lee
Suk-ju Kang
49
1
0
05 Oct 2020
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized
  Identity Prior
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
Zi Lin
Jeremiah Zhe Liu
Ziao Yang
Nan Hua
Dan Roth
96
47
0
05 Oct 2020
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic
  Method using Deep Denoising Priors
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun
Jiaming Liu
Yiran Sun
B. Wohlberg
Ulugbek S. Kamilov
80
15
0
03 Oct 2020
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical
  Imaging
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging
I. Sirazitdinov
H. Schulz
A. Saalbach
S. Renisch
Dmitry V. Dylov
MedIm
81
3
0
02 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based
  Models
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao
Karsten Kreis
Jan Kautz
Arash Vahdat
116
124
0
01 Oct 2020
EigenGame: PCA as a Nash Equilibrium
EigenGame: PCA as a Nash Equilibrium
I. Gemp
Brian McWilliams
Claire Vernade
T. Graepel
114
48
0
01 Oct 2020
Towards Target-Driven Visual Navigation in Indoor Scenes via Generative
  Imitation Learning
Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning
Qiaoyun Wu
Xiaoxi Gong
Kai Xu
Tianyi Zhou
Jingxuan Dong
Jun Wang
121
33
0
30 Sep 2020
Texture Memory-Augmented Deep Patch-Based Image Inpainting
Texture Memory-Augmented Deep Patch-Based Image Inpainting
Rui Xu
Minghao Guo
Jiaqi Wang
Xiaoxiao Li
Bolei Zhou
Chen Change Loy
3DV
70
41
0
28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and
  Application
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Lei Huang
Jie Qin
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
AI4CE
176
278
0
27 Sep 2020
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal
  Transformers
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Jaemin Cho
Jiasen Lu
Dustin Schwenk
Hannaneh Hajishirzi
Aniruddha Kembhavi
VLMMLLM
95
102
0
23 Sep 2020
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
Yihao Huang
Felix Juefei Xu
Qing Guo
Yang Liu
G. Pu
96
21
0
19 Sep 2020
Progressive Semantic-Aware Style Transformation for Blind Face
  Restoration
Progressive Semantic-Aware Style Transformation for Blind Face Restoration
Chaofeng Chen
Xiaoming Li
Lingbo Yang
Xianhui Lin
Lei Zhang
Kwan-Yee K. Wong
CVBM
95
155
0
18 Sep 2020
A Contraction Approach to Model-based Reinforcement Learning
A Contraction Approach to Model-based Reinforcement Learning
Ting-Han Fan
Peter J. Ramadge
OffRL
55
1
0
18 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
197
80
0
17 Sep 2020
Novel and flexible parameter estimation methods for data-consistent
  inversion in mechanistic modeling
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling
Timothy Rumbell
Jaimit Parikh
J. Kozloski
V. Gurev
59
6
0
17 Sep 2020
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season
  Sentinel-2 Imagery
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
Patrick Ebel
A. Meraner
M. Schmitt
Xiaoxiang Zhu
67
116
0
16 Sep 2020
Adversarial score matching and improved sampling for image generation
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau
Remi Piche-Taillefer
Rémi Tachet des Combes
Ioannis Mitliagkas
DiffM
89
126
0
11 Sep 2020
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