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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
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Papers citing "Spectral Normalization for Generative Adversarial Networks"

50 / 1,407 papers shown
Title
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Mihir Parmar
Mathew Halm
Michael Posa
29
36
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
15
53
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
38
1
0
28 Mar 2021
Cyclic Defense GAN Against Speech Adversarial Attacks
Cyclic Defense GAN Against Speech Adversarial Attacks
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
AAML
32
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
23
2
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
28
231
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
33
59
0
24 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong
Jinwoo Shin
30
65
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
25
11
0
16 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
29
300
0
14 Mar 2021
Mean Field Game GAN
Mean Field Game GAN
Shaojun Ma
Haomin Zhou
H. Zha
GAN
AI4CE
45
0
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
27
145
0
11 Mar 2021
An Introduction to Deep Generative Modeling
An Introduction to Deep Generative Modeling
Lars Ruthotto
E. Haber
AI4CE
33
221
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
VLM
TPM
48
485
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
29
109
0
08 Mar 2021
Personalized Federated Learning using Hypernetworks
Personalized Federated Learning using Hypernetworks
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
43
327
0
08 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
46
195
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
31
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
GAN
DRL
18
6
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
44
54
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
44
83
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
37
82
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
31
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
16
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
37
35
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
23
14
0
28 Feb 2021
A Brief Introduction to Generative Models
A Brief Introduction to Generative Models
Alex Lamb
GAN
VLM
22
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
33
132
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
25
61
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
25
21
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
UD
UQCV
PER
BDL
37
146
0
23 Feb 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
45
129
0
23 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
CoGe
OCL
DRL
38
37
0
21 Feb 2021
A Comprehensive Review of Deep Learning-based Single Image
  Super-resolution
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
S. M. A. Bashir
Yi Wang
Mahrukh Khan
Yilong Niu
SupR
AI4Cl
45
113
0
18 Feb 2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
Aye Phyu Phyu Aung
Xinrun Wang
Runsheng Yu
Bo An
Senthilnath Jayavelu
Xiaoli Li
29
8
0
17 Feb 2021
Globally-Robust Neural Networks
Globally-Robust Neural Networks
Klas Leino
Zifan Wang
Matt Fredrikson
AAML
OOD
80
126
0
16 Feb 2021
Learning by Turning: Neural Architecture Aware Optimisation
Learning by Turning: Neural Architecture Aware Optimisation
Yang Liu
Jeremy Bernstein
M. Meister
Yisong Yue
ODL
48
26
0
14 Feb 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can
  Scale Up
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yi Ding
Shiyu Chang
Zhangyang Wang
ViT
29
384
0
14 Feb 2021
Wasserstein Proximal of GANs
Wasserstein Proximal of GANs
A. Lin
Wuchen Li
Stanley Osher
Guido Montúfar
GAN
27
46
0
13 Feb 2021
Jacobian Determinant of Normalizing Flows
Jacobian Determinant of Normalizing Flows
Huadong Liao
Jiawei He
DRL
19
7
0
12 Feb 2021
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image
  Harmonization
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
Mengwei Ren
Neel Dey
J. Fishbaugh
Guido Gerig
MedIm
105
38
0
11 Feb 2021
One-shot Face Reenactment Using Appearance Adaptive Normalization
One-shot Face Reenactment Using Appearance Adaptive Normalization
Guangming Yao
Yi Yuan
Tianjia Shao
Shuang Li
Shanqi Liu
Yong Liu
Mengmeng Wang
Kun Zhou
CVBM
GAN
26
28
0
08 Feb 2021
Disentangled Recurrent Wasserstein Autoencoder
Disentangled Recurrent Wasserstein Autoencoder
Jun Han
Martin Renqiang Min
Ligong Han
Erran L. Li
Xuan Zhang
CoGe
SyDa
DRL
32
33
0
19 Jan 2021
GAN Inversion: A Survey
GAN Inversion: A Survey
Weihao Xia
Yulun Zhang
Yujiu Yang
Jing-Hao Xue
Bolei Zhou
Ming-Hsuan Yang
DiffM
85
507
0
14 Jan 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot
  Image Synthesis
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu
Yizhe Zhu
Kunpeng Song
Ahmed Elgammal
178
234
0
12 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation
Cross-Modal Contrastive Learning for Text-to-Image Generation
Han Zhang
Jing Yu Koh
Jason Baldridge
Honglak Lee
Yinfei Yang
GAN
22
355
0
12 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach
Explaining the Black-box Smoothly- A Counterfactual Approach
Junyu Chen
Yong Du
Yufan He
W. Paul Segars
Ye Li
MedIm
FAtt
67
100
0
11 Jan 2021
Learning quantum data with the quantum Earth Mover's distance
Learning quantum data with the quantum Earth Mover's distance
B. Kiani
Giacomo De Palma
M. Marvian
Zi-Wen Liu
S. Lloyd
21
45
0
08 Jan 2021
Model Extraction and Defenses on Generative Adversarial Networks
Model Extraction and Defenses on Generative Adversarial Networks
Hailong Hu
Jun Pang
SILM
MIACV
33
14
0
06 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
42
2
0
04 Jan 2021
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