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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
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image
  Generation with a Pose Estimator and an Auxiliary Classifier
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier
Jihyong Oh
Munchurl Kim
GAN
51
20
0
29 Mar 2021
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Mihir Parmar
Mathew Halm
Michael Posa
74
38
0
29 Mar 2021
Transitional Learning: Exploring the Transition States of Degradation
  for Blind Super-resolution
Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution
Yuanfei Huang
Jie Li
Yanting Hu
Xinbo Gao
Huan Huang
68
5
0
29 Mar 2021
Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes
Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes
Chenjie Cao
Yanwei Fu
79
55
0
28 Mar 2021
Accurate and Reliable Forecasting using Stochastic Differential
  Equations
Accurate and Reliable Forecasting using Stochastic Differential Equations
Peng Cui
Zhijie Deng
Wenbo Hu
Jun Zhu
UQCV
75
1
0
28 Mar 2021
Continuous Conditional Generative Adversarial Networks (cGAN) with
  Generator Regularization
Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization
Yufeng Zheng
Yunkai Zhang
Zeyu Zheng
GAN
18
9
0
27 Mar 2021
Cyclic Defense GAN Against Speech Adversarial Attacks
Cyclic Defense GAN Against Speech Adversarial Attacks
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
AAML
93
7
0
26 Mar 2021
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Hiroki Sakuma
Yoshinori Konishi
77
3
0
26 Mar 2021
Synthesize-It-Classifier: Learning a Generative Classifier through
  RecurrentSelf-analysis
Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis
Arghya Pal
Raphaël C.-W. Phan
Koksheik Wong
DiffM
53
3
0
26 Mar 2021
High-Fidelity Pluralistic Image Completion with Transformers
High-Fidelity Pluralistic Image Completion with Transformers
Bo Liu
Jingbo Zhang
Dongdong Chen
Jing Liao
ViT
79
238
0
25 Mar 2021
DRANet: Disentangling Representation and Adaptation Networks for
  Unsupervised Cross-Domain Adaptation
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
Seunghun Lee
Sunghyun Cho
Sunghoon Im
DRL
105
59
0
24 Mar 2021
Foreground color prediction through inverse compositing
Foreground color prediction through inverse compositing
Sebastian Lutz
A. Smolic
GAN
16
1
0
24 Mar 2021
Efficient Subsampling of Realistic Images From GANs Conditional on a
  Class or a Continuous Variable
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
Xin Ding
Yongwei Wang
Z. J. Wang
William J. Welch
82
5
0
20 Mar 2021
High Resolution Face Editing with Masked GAN Latent Code Optimization
High Resolution Face Editing with Masked GAN Latent Code Optimization
Martin Pernuš
Vitomir Štruc
Simon Dobrišek
CVBM
102
27
0
20 Mar 2021
Exploring The Effect of High-frequency Components in GANs Training
Exploring The Effect of High-frequency Components in GANs Training
Ziqiang Li
Pengfei Xia
Xue Rui
Bin Li
GAN
89
20
0
20 Mar 2021
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks:
  Theory, Methods, and Algorithms
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms
M. Holden
Marcelo Pereyra
K. Zygalakis
MedIm
59
28
0
18 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong
Jinwoo Shin
93
65
0
17 Mar 2021
Implicit Normalizing Flows
Implicit Normalizing Flows
Cheng Lu
Jianfei Chen
Chongxuan Li
Qiuhao Wang
Jun Zhu
AI4CE
72
34
0
17 Mar 2021
Map completion from partial observation using the global structure of
  multiple environmental maps
Map completion from partial observation using the global structure of multiple environmental maps
Y. Katsumata
Akinori Kanechika
Akira Taniguchi
Lotfi El Hafi
Y. Hagiwara
T. Taniguchi
62
11
0
16 Mar 2021
Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for
  End-to-End Speech Systems
Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
AAML
64
16
0
15 Mar 2021
Offline Reinforcement Learning with Fisher Divergence Critic
  Regularization
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Ilya Kostrikov
Jonathan Tompson
Rob Fergus
Ofir Nachum
OffRL
143
309
0
14 Mar 2021
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative
  Adversarial Network
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
Ruilin Liu
Yixiao Ge
Ching Lam Choi
Xiaogang Wang
Hongsheng Li
GAN
88
81
0
14 Mar 2021
Coming Down to Earth: Satellite-to-Street View Synthesis for
  Geo-Localization
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization
Aysim Toker
Qunjie Zhou
Maxim Maximov
Laura Leal-Taixé
81
151
0
11 Mar 2021
SocialInteractionGAN: Multi-person Interaction Sequence Generation
SocialInteractionGAN: Multi-person Interaction Sequence Generation
Louis Airale
Dominique Vaufreydaz
Xavier Alameda-Pineda
GAN
58
8
0
10 Mar 2021
An Introduction to Deep Generative Modeling
An Introduction to Deep Generative Modeling
Lars Ruthotto
E. Haber
AI4CE
118
232
0
09 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLMTPM
176
511
0
08 Mar 2021
Lipschitz Normalization for Self-Attention Layers with Application to
  Graph Neural Networks
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks
George Dasoulas
Kevin Scaman
Aladin Virmaux
GNN
85
39
0
08 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
96
112
0
08 Mar 2021
Personalized Federated Learning using Hypernetworks
Personalized Federated Learning using Hypernetworks
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
118
339
0
08 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLMSSL
140
207
0
08 Mar 2021
Spectral Tensor Train Parameterization of Deep Learning Layers
Spectral Tensor Train Parameterization of Deep Learning Layers
Anton Obukhov
M. Rakhuba
Alexander Liniger
Zhiwu Huang
Stamatios Georgoulis
Dengxin Dai
Luc Van Gool
83
10
0
07 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GANDRL
64
5
0
05 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
82
56
0
05 Mar 2021
Anycost GANs for Interactive Image Synthesis and Editing
Anycost GANs for Interactive Image Synthesis and Editing
Ji Lin
Richard Y. Zhang
F. Ganz
Song Han
Jun-Yan Zhu
140
86
0
04 Mar 2021
Style-based Point Generator with Adversarial Rendering for Point Cloud
  Completion
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
Chulin Xie
Chuxin Wang
Bo Zhang
Hao Yang
Dong Chen
Fang Wen
3DPC
99
83
0
03 Mar 2021
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind
  Conditions
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions
Michael O'Connell
Guanya Shi
Xichen Shi
Soon-Jo Chung
114
22
0
02 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein
  Distance)
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
Jan Stanczuk
Christian Etmann
L. Kreusser
Carola-Bibiane Schönlieb
GAN
106
48
0
02 Mar 2021
Learning with Hyperspherical Uniformity
Learning with Hyperspherical Uniformity
Weiyang Liu
Rongmei Lin
Zhen Liu
Li Xiong
Bernhard Schölkopf
Adrian Weller
121
36
0
02 Mar 2021
When Age-Invariant Face Recognition Meets Face Age Synthesis: A
  Multi-Task Learning Framework
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
Zhizhong Huang
Junping Zhang
Hongming Shan
CVBM
86
80
0
02 Mar 2021
Image-to-image Translation via Hierarchical Style Disentanglement
Image-to-image Translation via Hierarchical Style Disentanglement
Xinyang Li
Shengchuan Zhang
Jie Hu
Liujuan Cao
Xiaopeng Hong
Xudong Mao
Feiyue Huang
Yongjian Wu
Rongrong Ji
VLM
83
116
0
02 Mar 2021
Training Generative Adversarial Networks in One Stage
Training Generative Adversarial Networks in One Stage
Chengchao Shen
Youtan Yin
Xinchao Wang
Xubin Li
Mingli Song
Xiuming Zhang
GAN
111
13
0
28 Feb 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery
  Ticket Perspective
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
Tianlong Chen
Yu Cheng
Zhe Gan
Jingjing Liu
Zhangyang Wang
82
52
0
28 Feb 2021
A Brief Introduction to Generative Models
A Brief Introduction to Generative Models
Alex Lamb
GANVLM
87
16
0
27 Feb 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
110
138
0
27 Feb 2021
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised
  Anime Face Generation
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
Bing Li
Yuanlue Zhu
Yitong Wang
Chia-Wen Lin
Guohao Li
Linlin Shen
CVBM
80
63
0
24 Feb 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
103
23
0
24 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline
Deep Deterministic Uncertainty: A Simple Baseline
Jishnu Mukhoti
Andreas Kirsch
Joost R. van Amersfoort
Philip Torr
Y. Gal
UDUQCVPERBDL
133
156
0
23 Feb 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
155
132
0
23 Feb 2021
On Feature Collapse and Deep Kernel Learning for Single Forward Pass
  Uncertainty
On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty
Joost R. van Amersfoort
Lewis Smith
Andrew Jesson
Oscar Key
Y. Gal
UQCV
87
105
0
22 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative
  Models: A Contrastive Learning View
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Xuanchi Ren
Tao Yang
Yuwang Wang
W. Zeng
CoGeOCLDRL
105
40
0
21 Feb 2021
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