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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
Density Fixing: Simple yet Effective Regularization Method based on the
  Class Prior
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
Masanari Kimura
Ryohei Izawa
22
1
0
08 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
146
919
0
08 Jul 2020
Structured (De)composable Representations Trained with Neural Networks
Structured (De)composable Representations Trained with Neural Networks
Graham Spinks
Marie-Francine Moens
OCL
33
1
0
07 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz
Yiyi Liao
Michael Niemeyer
Andreas Geiger
VGen
227
879
0
05 Jul 2020
Collaborative Learning for Faster StyleGAN Embedding
Collaborative Learning for Faster StyleGAN Embedding
Shanyan Guan
Ying Tai
Bingbing Ni
Feida Zhu
Feiyue Huang
Xiaokang Yang
72
105
0
03 Jul 2020
HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with
  Large Motions
HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions
Yuzhen Niu
Jianbin Wu
Wenxi Liu
Wenzhong Guo
Rynson W. H. Lau
3DV
174
157
0
03 Jul 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using
  Structured Latent Spaces
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
Sébastien Ehrhardt
Oliver Groth
Áron Monszpart
Martin Engelcke
Ingmar Posner
Niloy Mitra
Andrea Vedaldi
3DPC
70
54
0
02 Jul 2020
Learning to Segment from Scribbles using Multi-scale Adversarial
  Attention Gates
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
83
5
0
02 Jul 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
Fabian Latorre
Paul Rolland
Nadav Hallak
Volkan Cevher
AAML
72
4
0
02 Jul 2020
Estimation with Uncertainty via Conditional Generative Adversarial
  Networks
Estimation with Uncertainty via Conditional Generative Adversarial Networks
Minhyeok Lee
Junhee Seok
MedIm
62
16
0
01 Jul 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial
  Imitation Learning
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
Lionel Blondé
Pablo Strasser
Alexandros Kalousis
90
22
0
28 Jun 2020
When and How Can Deep Generative Models be Inverted?
When and How Can Deep Generative Models be Inverted?
Aviad Aberdam
Dror Simon
Michael Elad
94
13
0
28 Jun 2020
A Flexible Framework for Designing Trainable Priors with Adaptive
  Smoothing and Game Encoding
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding
Bruno Lecouat
Jean Ponce
Julien Mairal
AI4CE
65
6
0
26 Jun 2020
An Analysis of SVD for Deep Rotation Estimation
An Analysis of SVD for Deep Rotation Estimation
J. Levinson
Carlos Esteves
Kefan Chen
Noah Snavely
Angjoo Kanazawa
Afshin Rostamizadeh
A. Makadia
109
95
0
25 Jun 2020
Newton-type Methods for Minimax Optimization
Newton-type Methods for Minimax Optimization
Guojun Zhang
Kaiwen Wu
Pascal Poupart
Yaoliang Yu
88
24
0
25 Jun 2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
V. Chandrasekhar
89
32
0
25 Jun 2020
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
Kanglin Liu
Qing Li
Guoping Qiu
GAN
60
19
0
23 Jun 2020
Artist-Guided Semiautomatic Animation Colorization
Artist-Guided Semiautomatic Animation Colorization
Harrish Thasarathan
Mehran Ebrahimi
59
6
0
22 Jun 2020
Microstructure Generation via Generative Adversarial Network for
  Heterogeneous, Topologically Complex 3D Materials
Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials
Tim Hsu
W. Epting
Hokon Kim
H. Abernathy
Gregory A. Hackett
A. Rollett
P. Salvador
Elizabeth A. Holm
35
84
0
22 Jun 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single
  Sample
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
Shir Gur
Sagie Benaim
Lior Wolf
VGenGANDRL
91
70
0
22 Jun 2020
Telescoping Density-Ratio Estimation
Telescoping Density-Ratio Estimation
Benjamin Rhodes
Kai Xu
Michael U. Gutmann
181
97
0
22 Jun 2020
Deep Polynomial Neural Networks
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
Stefanos Zafeiriou
91
94
0
20 Jun 2020
Online Kernel based Generative Adversarial Networks
Online Kernel based Generative Adversarial Networks
Yeojoon Youn
Neil Thistlethwaite
Sang Keun Choe
Jacob D. Abernethy
GAN
36
2
0
19 Jun 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
1.1K
18,549
0
19 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under
  Covariate Shift
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado
Shreyas Padhy
D. Sculley
Alexander DÁmour
Balaji Lakshminarayanan
Jasper Snoek
OODAI4TS
132
251
0
19 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
174
608
0
18 Jun 2020
Diverse Image Generation via Self-Conditioned GANs
Diverse Image Generation via Self-Conditioned GANs
Steven Liu
Tongzhou Wang
David Bau
Jun-Yan Zhu
Antonio Torralba
SyDa
129
107
0
18 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images
Set Distribution Networks: a Generative Model for Sets of Images
Shuangfei Zhai
Walter A. Talbott
Miguel Angel Bautista
Carlos Guestrin
J. Susskind
GAN
56
2
0
18 Jun 2020
Learning High-Resolution Domain-Specific Representations with a GAN
  Generator
Learning High-Resolution Domain-Specific Representations with a GAN Generator
Danil Galeev
Konstantin Sofiiuk
D. Rukhovich
Mikhail Romanov
O. Barinova
Anton Konushin
GAN
83
15
0
18 Jun 2020
Adversarially Trained Multi-Singer Sequence-To-Sequence Singing
  Synthesizer
Adversarially Trained Multi-Singer Sequence-To-Sequence Singing Synthesizer
Jie Wu
Jian Luan
73
26
0
18 Jun 2020
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN
  Post-processing
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing
Szu-Wei Fu
Chien-Feng Liao
Tsun-An Hsieh
Kuo-Hsuan Hung
Syu-Siang Wang
...
Ryandhimas E. Zezario
You-Jin Li
Shang-Yi Chuang
Yen-Ju Lu
Yu Tsao
74
6
0
18 Jun 2020
Progressively Unfreezing Perceptual GAN
Progressively Unfreezing Perceptual GAN
Jinxuan Sun
Yang Chen
Junyu Dong
G. Zhong
GAN
69
1
0
18 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCVBDL
293
453
0
17 Jun 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
137
478
0
17 Jun 2020
Go with the Flow: Adaptive Control for Neural ODEs
Go with the Flow: Adaptive Control for Neural ODEs
Mathieu Chalvidal
Matthew Ricci
Rufin VanRullen
Thomas Serre
52
2
0
16 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural
  Networks
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
Jens Behrmann
Paul Vicol
Kuan-Chieh Wang
Roger C. Grosse
J. Jacobsen
74
94
0
16 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative
  Adversarial Networks
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian
Li Shen
Li Shen
Guinan Su
Zhifeng Li
Wei Liu
GAN
79
32
0
16 Jun 2020
New Interpretations of Normalization Methods in Deep Learning
New Interpretations of Normalization Methods in Deep Learning
Jiacheng Sun
Xiangyong Cao
Hanwen Liang
Weiran Huang
Zewei Chen
Zhenguo Li
68
35
0
16 Jun 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
308
1,170
0
16 Jun 2020
DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
Gulcin Baykal
Gözde B. Ünal
GAN
48
9
0
15 Jun 2020
Globally Injective ReLU Networks
Globally Injective ReLU Networks
Michael Puthawala
K. Kothari
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
103
28
0
15 Jun 2020
Reciprocal Adversarial Learning via Characteristic Functions
Reciprocal Adversarial Learning via Characteristic Functions
Shengxi Li
Zeyang Yu
Min Xiang
Danilo P. Mandic
GAN
140
13
0
15 Jun 2020
Markov-Lipschitz Deep Learning
Markov-Lipschitz Deep Learning
Stan Z. Li
Zelin Zhang
Lirong Wu
95
16
0
15 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
220
1,650
0
15 Jun 2020
Convolutional Generation of Textured 3D Meshes
Convolutional Generation of Textured 3D Meshes
Dario Pavllo
Graham Spinks
Thomas Hofmann
Marie-Francine Moens
Aurelien Lucchi
85
62
0
13 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
80
124
0
13 Jun 2020
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow
  Reconstruction
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
Yihao Huang
Felix Juefei Xu
Run Wang
Qing Guo
Lei Ma
Xiaofei Xie
Jianwen Li
Weikai Miao
Yang Liu
G. Pu
58
71
0
13 Jun 2020
Dynamic Attention Based Generative Adversarial Network with Phase
  Post-Processing for Speech Enhancement
Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement
Andong Li
C. Zheng
Renhua Peng
Cunhang Fan
Xiaodong Li
32
4
0
13 Jun 2020
Asymptotic Singular Value Distribution of Linear Convolutional Layers
Asymptotic Singular Value Distribution of Linear Convolutional Layers
Xinping Yi
41
3
0
12 Jun 2020
Improving GAN Training with Probability Ratio Clipping and Sample
  Reweighting
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
Yue Wu
Pan Zhou
A. Wilson
Eric Xing
Zhiting Hu
GAN
118
36
0
12 Jun 2020
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