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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
ArXivPDFHTML

Papers citing "Spectral Normalization for Generative Adversarial Networks"

50 / 1,410 papers shown
Title
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
  Out Distribution Robustness
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Philip Torr
P. Dokania
UQCV
40
34
0
29 Jun 2022
Can Push-forward Generative Models Fit Multimodal Distributions?
Can Push-forward Generative Models Fit Multimodal Distributions?
Antoine Salmona
Valentin De Bortoli
J. Delon
A. Desolneux
DiffM
35
37
0
29 Jun 2022
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled
  Conditions
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
Sangyun Lee
Gyojung Gu
S. Park
Seunghwan Choi
Jaegul Choo
DiffM
76
129
0
28 Jun 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Chang-Tien Lu
Shen Zheng
Zirui Wang
O. Dib
Gaurav Gupta
38
3
0
28 Jun 2022
On bounds for norms of reparameterized ReLU artificial neural network
  parameters: sums of fractional powers of the Lipschitz norm control the
  network parameter vector
On bounds for norms of reparameterized ReLU artificial neural network parameters: sums of fractional powers of the Lipschitz norm control the network parameter vector
Arnulf Jentzen
T. Kröger
30
0
0
27 Jun 2022
Exact Spectral Norm Regularization for Neural Networks
Exact Spectral Norm Regularization for Neural Networks
Anton Johansson
Claes Strannegård
Niklas Engsner
P. Mostad
AAML
25
2
0
27 Jun 2022
Latent Policies for Adversarial Imitation Learning
Latent Policies for Adversarial Imitation Learning
Tianyu Wang
Nikhil Karnwal
Nikolay Atanasov
26
5
0
22 Jun 2022
Temporally Consistent Semantic Video Editing
Temporally Consistent Semantic Video Editing
Yiran Xu
Badour Albahar
Jia-Bin Huang
44
28
0
21 Jun 2022
Using EBGAN for Anomaly Intrusion Detection
Using EBGAN for Anomaly Intrusion Detection
Yinxue Cui
Wenfeng Shen
Jian Zhang
Weijia Lu
Chuang Liu
Lingge Sun
Sisi Chen
21
3
0
21 Jun 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
21
68
0
19 Jun 2022
On the Role of Generalization in Transferability of Adversarial Examples
On the Role of Generalization in Transferability of Adversarial Examples
Yilin Wang
Farzan Farnia
AAML
24
11
0
18 Jun 2022
Free-form Lesion Synthesis Using a Partial Convolution Generative
  Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation
Yang Liu
Fei Yang
Yidong Yang
GAN
MedIm
35
4
0
18 Jun 2022
Reframed GES with a Neural Conditional Dependence Measure
Reframed GES with a Neural Conditional Dependence Measure
Xinwei Shen
Shengyu Zhu
Jiji Zhang
Shoubo Hu
Zhitang Chen
CML
15
3
0
17 Jun 2022
Realistic One-shot Mesh-based Head Avatars
Realistic One-shot Mesh-based Head Avatars
Taras Khakhulin
V. Sklyarova
Victor Lempitsky
Egor Zakharov
3DH
45
97
0
16 Jun 2022
Deepfake histological images for enhancing digital pathology
Deepfake histological images for enhancing digital pathology
Kianoush Falahkheirkhah
Saumya Tiwari
Kevin Yeh
Sounak Gupta
L. Herrera-Hernandez
Michael R. McCarthy
Rafael E. Jimenez
J. Cheville
Rohit Bhargava
MedIm
24
3
0
16 Jun 2022
On Scaled Methods for Saddle Point Problems
On Scaled Methods for Saddle Point Problems
Aleksandr Beznosikov
Aibek Alanov
D. Kovalev
Martin Takáč
Alexander Gasnikov
37
4
0
16 Jun 2022
A Closer Look at Smoothness in Domain Adversarial Training
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
Arihant Jain
R. Venkatesh Babu
40
119
0
16 Jun 2022
Optimization-Derived Learning with Essential Convergence Analysis of
  Training and Hyper-training
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Risheng Liu
Xuan Liu
Shangzhi Zeng
Jin Zhang
Yixuan Zhang
50
6
0
16 Jun 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
Alexander Korotin
Alexander Kolesov
Evgeny Burnaev
OT
39
26
0
15 Jun 2022
Efficiently Training Low-Curvature Neural Networks
Efficiently Training Low-Curvature Neural Networks
Suraj Srinivas
Kyle Matoba
Himabindu Lakkaraju
François Fleuret
AAML
28
15
0
14 Jun 2022
AnimeSR: Learning Real-World Super-Resolution Models for Animation
  Videos
AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
Yanze Wu
Xintao Wang
Gengyan Li
Ying Shan
SupR
29
21
0
14 Jun 2022
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal
  Transport Perspective
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
M. Serrurier
Franck Mamalet
Thomas Fel
Louis Bethune
Thibaut Boissin
AAML
FAtt
37
4
0
14 Jun 2022
Toward Student-Oriented Teacher Network Training For Knowledge
  Distillation
Toward Student-Oriented Teacher Network Training For Knowledge Distillation
Chengyu Dong
Liyuan Liu
Jingbo Shang
46
6
0
14 Jun 2022
Evaluating Graph Generative Models with Contrastively Learned Features
Evaluating Graph Generative Models with Contrastively Learned Features
Hamed Shirzad
Kaveh Hassani
Danica J. Sutherland
27
7
0
13 Jun 2022
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent
  Sampling
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Yuanbang Liang
Jing Wu
Yunyu Lai
Yipeng Qin
14
4
0
13 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Peiyu Yu
Sirui Xie
Xiaojian Ma
Baoxiong Jia
Bo Pang
Ruigi Gao
Yixin Zhu
Song-Chun Zhu
Ying Nian Wu
DiffM
40
82
0
13 Jun 2022
Mining Multi-Label Samples from Single Positive Labels
Mining Multi-Label Samples from Single Positive Labels
Youngin Cho
Daejin Kim
Mohammad Azam Khan
Jaegul Choo
GAN
27
7
0
12 Jun 2022
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Sang-gil Lee
Ming-Yu Liu
Boris Ginsburg
Bryan Catanzaro
Sung-Hoon Yoon
33
232
0
09 Jun 2022
Wavelet Prior Attention Learning in Axial Inpainting Network
Wavelet Prior Attention Learning in Axial Inpainting Network
Chenjie Cao
Chengrong Wang
Yuntao Zhang
Yanwei Fu
46
2
0
07 Jun 2022
Memory-efficient model-based deep learning with convergence and
  robustness guarantees
Memory-efficient model-based deep learning with convergence and robustness guarantees
Aniket Pramanik
M. Zimmerman
M. Jacob
3DV
24
13
0
06 Jun 2022
Image Protection for Robust Cropping Localization and Recovery
Image Protection for Robust Cropping Localization and Recovery
Qichao Ying
Hang Zhou
Xiaoxiao Hu
Zhenxing Qian
Sheng Li
Xinpeng Zhang
27
0
0
06 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
DiffM
32
222
0
05 Jun 2022
Learning Robust Representations Of Generative Models Using Set-Based
  Artificial Fingerprints
Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprints
Hae Jin Song
Wael AbdAlmageed
OOD
40
0
0
04 Jun 2022
On the Privacy Properties of GAN-generated Samples
On the Privacy Properties of GAN-generated Samples
Zinan Lin
Vyas Sekar
Giulia Fanti
PICV
24
26
0
03 Jun 2022
Clipped Stochastic Methods for Variational Inequalities with
  Heavy-Tailed Noise
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
Eduard A. Gorbunov
Marina Danilova
David Dobre
Pavel Dvurechensky
Alexander Gasnikov
Gauthier Gidel
37
24
0
02 Jun 2022
Transformer with Fourier Integral Attentions
Transformer with Fourier Integral Attentions
T. Nguyen
Minh Pham
Tam Nguyen
Khai Nguyen
Stanley J. Osher
Nhat Ho
32
4
0
01 Jun 2022
StyleTTS: A Style-Based Generative Model for Natural and Diverse
  Text-to-Speech Synthesis
StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis
Yinghao Aaron Li
Cong Han
N. Mesgarani
51
38
0
30 May 2022
Batch Normalization Is Blind to the First and Second Derivatives of the
  Loss
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou
Wen Shen
Huixin Chen
Ling Tang
Quanshi Zhang
39
2
0
30 May 2022
Perceptual Learned Source-Channel Coding for High-Fidelity Image
  Semantic Transmission
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission
Jun Wang
Sixian Wang
Jincheng Dai
Zhongwei Si
Dekun Zhou
K. Niu
22
31
0
26 May 2022
Online Deep Equilibrium Learning for Regularization by Denoising
Online Deep Equilibrium Learning for Regularization by Denoising
Jiaming Liu
Xiaojian Xu
Weijie Gan
Shirin Shoushtari
Ulugbek S. Kamilov
49
27
0
25 May 2022
Misleading Deep-Fake Detection with GAN Fingerprints
Misleading Deep-Fake Detection with GAN Fingerprints
Vera Wesselkamp
Konrad Rieck
Dan Arp
Erwin Quiring
AAML
33
8
0
25 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density
  Modeling
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling
Mitch Hill
Jonathan Mitchell
Chu Chen
Yuan Du
M. Shah
Song-Chun Zhu
14
0
0
24 May 2022
Improving Human Image Synthesis with Residual Fast Fourier
  Transformation and Wasserstein Distance
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance
Jianhan Wu
Shijing Si
Jianzong Wang
Jing Xiao
47
1
0
24 May 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular
  Data Synthesis
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
GAN
30
2
0
24 May 2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for
  Minimax Optimization
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization
Yihang Gao
Huafeng Liu
Michael K. Ng
Mingjie Zhou
25
2
0
23 May 2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology,
  and Application
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
39
4
0
20 May 2022
FairNorm: Fair and Fast Graph Neural Network Training
FairNorm: Fair and Fast Graph Neural Network Training
Öykü Deniz Köse
Yanning Shen
AI4CE
23
4
0
20 May 2022
Riemannian Metric Learning via Optimal Transport
Riemannian Metric Learning via Optimal Transport
Christopher Scarvelis
Justin Solomon
OT
47
11
0
18 May 2022
Semantically Accurate Super-Resolution Generative Adversarial Networks
Semantically Accurate Super-Resolution Generative Adversarial Networks
Tristan Frizza
D. Dansereau
Nagita Mehr Seresht
M. Bewley
GAN
61
8
0
17 May 2022
Policy Gradient Method For Robust Reinforcement Learning
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang
Shaofeng Zou
81
69
0
15 May 2022
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