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Stabilizing Training of Generative Adversarial Networks through
  Regularization
v1v2 (latest)

Stabilizing Training of Generative Adversarial Networks through Regularization

25 May 2017
Kevin Roth
Aurelien Lucchi
Sebastian Nowozin
Thomas Hofmann
    GAN
ArXiv (abs)PDFHTML

Papers citing "Stabilizing Training of Generative Adversarial Networks through Regularization"

50 / 241 papers shown
Adversarial Flow Models
Adversarial Flow Models
Shanchuan Lin
Ceyuan Yang
Zhijie Lin
Hao Chen
Haoqi Fan
GAN
222
2
0
10 Apr 2026
Experts-Guided Unbalanced Optimal Transport for ISP Learning from Unpaired and/or Paired Data
Experts-Guided Unbalanced Optimal Transport for ISP Learning from Unpaired and/or Paired Data
Georgy Perevozchikov
Nancy Mehta
E. Ershov
Radu Timofte
OT
158
0
0
05 Dec 2025
SpriteHand: Real-Time Versatile Hand-Object Interaction with Autoregressive Video Generation
SpriteHand: Real-Time Versatile Hand-Object Interaction with Autoregressive Video Generation
Zisu Li
Hengye Lyu
Jiaxin Shi
Yufeng Zeng
Mingming Fan
Hanwang Zhang
Chen Liang
VGen
227
2
0
01 Dec 2025
MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training
MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training
Haotian Xue
Qi-An Chen
Zhonghao Wang
Xun Huang
Eli Shechtman
Jinrong Xie
Yongxin Chen
DiffMVGen
605
2
0
26 Nov 2025
Distribution Matching Distillation Meets Reinforcement Learning
Distribution Matching Distillation Meets Reinforcement Learning
Dengyang Jiang
Dongyang Liu
Zanyi Wang
Qilong Wu
Liuzhuozheng Li
...
Mengmeng Wang
Steven Hoi
Peng Gao
H. Yang
Harry Yang
524
9
0
17 Nov 2025
Beyond Data Scarcity Optimizing R3GAN for Medical Image Generation from Small Datasets
Beyond Data Scarcity Optimizing R3GAN for Medical Image Generation from Small Datasets
Tsung-Wei Pan
Chang-Hong Wu
Jung-Hua Wang
Ming-Jer Chen
Yu-Chiao Yi
Tsung-Hsien Lee
MedIm
441
0
0
29 Oct 2025
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
Jianyi Wang
Shanchuan Lin
Zhijie Lin
Yuxi Ren
Meng Wei
...
Yang Zhao
Ceyuan Yang
Xuefeng Xiao
Chen Change Loy
Lu Jiang
DiffMVGen
474
26
0
05 Jun 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
324
0
0
08 May 2025
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous DomainsProceedings of the VLDB Endowment (PVLDB), 2025
Vincent Jacob
Y. Diao
AI4TS
371
3
0
29 Mar 2025
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
Nanyu Luo
Feng Ji
DRL
535
3
0
15 Feb 2025
Nested Annealed Training Scheme for Generative Adversarial Networks
Nested Annealed Training Scheme for Generative Adversarial Networks
Chang Wan
Ming-Hsuan Yang
Minglu Li
Yunliang Jiang
Zhonglong Zheng
GAN
367
1
0
20 Jan 2025
Soft Diamond Regularizers for Deep Learning
Soft Diamond Regularizers for Deep Learning
Olaoluwa Adigun
Bart Kosko
160
0
0
30 Dec 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive ExplorationAdaptive Agents and Multi-Agent Systems (AAMAS), 2024
Xingrui Yu
Zhenglin Wan
David Mark Bossens
Yueming Lyu
Qing Guo
Ivor W. Tsang
1.2K
2
0
11 Nov 2024
Scaling-based Data Augmentation for Generative Models and its
  Theoretical Extension
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension
Yoshitaka Koike
Takumi Nakagawa
Hiroki Waida
Takafumi Kanamori
DiffM
388
1
0
28 Oct 2024
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport
Taekyung Lee
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
OT3DPC
524
3
0
03 Oct 2024
Improving Neural Optimal Transport via Displacement Interpolation
Improving Neural Optimal Transport via Displacement InterpolationInternational Conference on Learning Representations (ICLR), 2024
Jaemoo Choi
Yongxin Chen
Jaewoong Choi
OT
515
4
0
03 Oct 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffMVLM
204
4
0
07 Jun 2024
Does Diffusion Beat GAN in Image Super Resolution?
Does Diffusion Beat GAN in Image Super Resolution?
Denis Kuznedelev
Valerii Startsev
Daniil Shlenskii
Sergey Kastryulin
291
7
0
27 May 2024
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz
  continuity constrAIned Normalization
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
Yao Ni
Piotr Koniusz
AI4CEGAN
650
8
0
31 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset
Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim
Byeonghu Na
Minsang Park
Joonho Jang
Dongjun Kim
Wanmo Kang
Il-Chul Moon
332
37
0
02 Mar 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Divin Yan
Lu Qi
Vincent Tao Hu
Ming-Hsuan Yang
Meng Tang
255
11
0
16 Feb 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through
  Unbalanced Optimal Transport
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
526
20
0
08 Feb 2024
Diffusive Gibbs Sampling
Diffusive Gibbs SamplingInternational Conference on Machine Learning (ICML), 2024
Jiajun He
Mingtian Zhang
Brooks Paige
José Miguel Hernández-Lobato
David Barber
598
20
0
05 Feb 2024
Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network
Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network
Zhao Ding
Chenguang Duan
Yuling Jiao
Jerry Zhijian Yang
238
1
0
09 Jan 2024
Representation Learning of Multivariate Time Series using Attention and
  Adversarial Training
Representation Learning of Multivariate Time Series using Attention and Adversarial Training
Leon Scharwächter
Sebastian Otte
OODAI4TS
161
0
0
03 Jan 2024
D3A-TS: Denoising-Driven Data Augmentation in Time Series
D3A-TS: Denoising-Driven Data Augmentation in Time Series
D. Martín
Juan Galán Páez
J. Borrego-Díaz
AI4TSDiffM
333
5
0
09 Dec 2023
On the Noise Scheduling for Generating Plausible Designs with Diffusion
  Models
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
Jiajie Fan
L. Vuaille
Thomas Bäck
Hao Wang
DiffM
253
8
0
19 Nov 2023
Matching aggregate posteriors in the variational autoencoder
Matching aggregate posteriors in the variational autoencoderInternational Conference on Pattern Recognition (ICPR), 2023
Surojit Saha
Sarang Joshi
Ross T. Whitaker
DRL
351
5
0
13 Nov 2023
MCRAGE: Synthetic Healthcare Data for Fairness
MCRAGE: Synthetic Healthcare Data for FairnessSIAM Undergraduate Research Online (SIURO), 2023
Keira Behal
Jiayi Chen
Caleb Fikes
Sophia Xiao
SyDaMedIm
345
1
0
27 Oct 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness
Training Image Derivatives: Increased Accuracy and Universal Robustness
V. Avrutskiy
445
0
0
21 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks
Analyzing and Improving Optimal-Transport-based Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2023
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
OT
397
7
0
04 Oct 2023
Statistically Optimal Generative Modeling with Maximum Deviation from
  the Empirical Distribution
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical DistributionInternational Conference on Machine Learning (ICML), 2023
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
457
3
0
31 Jul 2023
Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial
  Network
Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial Network
One Octadion
N. Yudistira
D. Kurnianingtyas
DiffM
215
15
0
22 Jul 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image
  Synthesis
Adversarial Latent Autoencoder with Self-Attention for Structural Image SynthesisConference on Algebraic Informatics (CAI), 2023
Jiajie Fan
L. Vuaille
Hongya Wang
Thomas Bäck
AI4CE
219
7
0
19 Jul 2023
Stability Analysis Framework for Particle-based Distance GANs with
  Wasserstein Gradient Flow
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow
Chuqi Chen
Yue Wu
Yang Xiang
GAN
226
0
0
04 Jul 2023
Data Interpolants -- That's What Discriminators in Higher-order
  Gradient-regularized GANs Are
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are
Aadithya Srikanth
C. Seelamantula
293
4
0
01 Jun 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced
  Optimal Transport
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal TransportNeural Information Processing Systems (NeurIPS), 2023
Jaemoo Choi
Jaewoong Choi
Myung-joo Kang
OT
732
36
0
24 May 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving
  Cross-Domain Recommendation
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2023
Xinting Liao
Weiming Liu
Xiaolin Zheng
Binhui Yao
Chaochao Chen
370
25
0
11 May 2023
Class-Balancing Diffusion Models
Class-Balancing Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Yiming Qin
Huangjie Zheng
Jiangchao Yao
Mingyuan Zhou
Ya Zhang
DiffM
385
62
0
30 Apr 2023
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
437
6
0
21 Apr 2023
Generating artificial digital image correlation data using
  physics-guided adversarial networks
Generating artificial digital image correlation data using physics-guided adversarial networks
D. Melching
Erik Schultheis
Eric Breitbarth
GANAI4CE
328
6
0
28 Mar 2023
High Fidelity Synthetic Face Generation for Rosacea Skin Condition from
  Limited Data
High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data
Anwesha Mohanty
Alistair Sutherland
Marija Bezbradica
Hossein Javidnia
MedIm
185
3
0
08 Mar 2023
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
Soroosh Shafieezadeh-Abadeh
Liviu Aolaritei
Florian Dorfler
Daniel Kuhn
687
21
0
07 Mar 2023
Better Generative Replay for Continual Federated Learning
Better Generative Replay for Continual Federated LearningInternational Conference on Learning Representations (ICLR), 2023
Daiqing Qi
Handong Zhao
Sheng Li
366
90
0
25 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
Free Lunch for Domain Adversarial Training: Environment Label SmoothingInternational Conference on Learning Representations (ICLR), 2023
Yifan Zhang
Qingsong Wen
Jian Liang
Zhang Zhang
Liangsheng Wang
Rong Jin
Tien-Ping Tan
345
59
0
01 Feb 2023
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based
  Domain Adaptation for Long-term Breast Cancer Risk
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer RiskJournal of Medical Imaging (JMI), 2022
Andreas D. Lauritzen
M. V. von Euler-Chelpin
E. Lynge
I. Vejborg
Mads Nielsen
N. Karssemeijer
M. Lillholm
159
7
0
27 Dec 2022
Safe Imitation Learning of Nonlinear Model Predictive Control for
  Flexible Robots
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible RobotsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Shamil Mamedov
Rudolf Reiter
Seyed Mahdi Basiri Azad
Joschka Boedecker
Moritz Diehl
Jan Swevers
300
7
0
06 Dec 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with
  Limited Data
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited DataNeural Information Processing Systems (NeurIPS), 2022
Tiantian Fang
Tian Ding
Alex Schwing
GAN
193
25
0
27 Nov 2022
Improving GANs with a Feature Cycling Generator
Improving GANs with a Feature Cycling Generator
Seung-won Park
Y. Shin
306
0
0
18 Oct 2022
A Differentiable Distance Approximation for Fairer Image Classification
A Differentiable Distance Approximation for Fairer Image ClassificationAsian Conference on Computer Vision (ACCV), 2022
Nicholas Rosa
Tom Drummond
Mehrtash Harandi
280
1
0
09 Oct 2022
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