v1v2v3 (latest)

Improved Training of Wasserstein GANs

31 March 2017

Aaron Courville

Papers citing "Improved Training of Wasserstein GANs"

50 / 88 papers shown

Title
SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Model Zhanjie Zhang Quanwei Zhang Junsheng Luan Mengyuan Yang Yun Wang Lei Zhao 206 1 0 13 May 2025
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations Ruijie Wang Luca Rossetto Susan Mérillat Christina Röcke Mike Martin Abraham Bernstein DiffM MedIm 140 0 0 15 Apr 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 127 1 0 11 Mar 2025
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds Riccardo Mazzieri Jacopo Pegoraro Michele Rossi CVBM 107 1 0 10 Mar 2025
IGN : Implicit Generative Networks Haozheng Luo Tianyi Wu Feiyu Han Zhijun Yan OffRL 98 1 0 24 Feb 2025
Infrared Image Super-Resolution: Systematic Review, and Future Trends Y. Huang Tomo Miyazaki Xiao-Fang Liu S. Omachi SupR 148 13 0 21 Feb 2025
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning Yuhang Huang Takashi Kanai AI4CE 109 1 0 21 Feb 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li Lulu Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 123 0 0 20 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 145 8 0 18 Feb 2025
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks Isaac Corley Yufei Huang 77 60 0 12 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 471 0 0 10 Feb 2025
Beyond and Free from Diffusion: Invertible Guided Consistency Training Chia-Hong Hsu Shiu-hong Kao Randall Balestriero 3DV 122 0 0 08 Feb 2025
Generating Spatial Synthetic Populations Using Wasserstein Generative Adversarial Network: A Case Study with EU-SILC Data for Helsinki and Thessaloniki Vanja Falck 88 2 0 28 Jan 2025
Towards Scalable Topological Regularizers Hiu-Tung Wong Darrick Lee Hong Yan BDL 107 0 0 24 Jan 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 99 0 0 20 Jan 2025
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network Debasmita Pal Arun Ross GAN 133 1 0 17 Jan 2025
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Xiao Cui Mo Zhu Yulei Qin Liang Xie Wengang Zhou Haoyang Li 149 7 0 19 Dec 2024
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume Xiwei Liu Mohamad Kassab Min Xu Qirong Ho 458 0 0 22 Nov 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing Guo Ivor W. Tsang 444 0 0 11 Nov 2024
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 116 2 0 11 Nov 2024
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction Yanshuo Chen Zhengmian Hu Wei Chen Heng Huang OT 92 2 0 01 Nov 2024
Reward-free World Models for Online Imitation Learning Shangzhe Li Zhiao Huang H. Su OffRL 143 1 0 17 Oct 2024
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control Haoran Wang Yaoru Sun Zeshen Tang Haibo Shi Chenyuan Jiao 83 0 0 12 Oct 2024
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 180 0 0 10 Oct 2024
Partial Distribution Matching via Partial Wasserstein Adversarial Networks Zi-Ming Wang Nan Xue Ling Lei Rebecka Jörnsten Gui-Song Xia OOD 164 0 0 16 Sep 2024
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion Huiguo He Huan Yang Zixi Tuo Yuan Zhou Qiuyue Wang Yuhang Zhang Zeyu Liu Wenhao Huang Hongyang Chao Jian Yin DiffM VGen 154 17 0 17 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding Mang Ning A. A. Salah Itir Onal Ertugrul CVBM 128 4 0 15 Jul 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss Baoren Xiao Hao Ni Weixin Yang GAN 104 0 0 27 May 2024
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases Sophie Starck Vasiliki Sideri-Lampretsa Bernhard Kainz Martin J. Menten Tamara T. Mueller Daniel Rueckert MedIm 99 3 0 25 Mar 2024
Adaptive LPD Radar Waveform Design with Generative Deep Learning Matthew R. Ziemann Christopher A. Metzler 67 0 0 18 Mar 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 83 8 0 04 Feb 2024
Collaboratively Self-supervised Video Representation Learning for Action Recognition Jie Zhang Zhifan Wan Lanqing Hu Stephen Lin Shuzhe Wu Shiguang Shan TTA 133 1 0 15 Jan 2024
Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings M. Pytlarz Adrian Onicas A. Crimi GAN MedIm 76 1 0 16 Oct 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 176 31 0 27 Aug 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance Santanu Ganguly GAN 64 3 0 15 Aug 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients Mete Kemertas Allan D. Jepson Amir-massoud Farahmand OT 73 3 0 17 Jul 2023
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image Bowen Hu Baiying Lei Sibo Qiao Hieu Pham Shuqiang Wang Michael Kwok-Po Ng 3DPC 3DV 95 0 0 22 May 2023
Statistical Guarantees of Group-Invariant GANs Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Wei-wei Zhu 172 2 0 22 May 2023
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 123 21 0 07 Mar 2023
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 104 49 0 09 Mar 2022
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Yi Ding Shiyu Chang Zhangyang Wang ViT 113 392 0 14 Feb 2021
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images Zhuangzhuang Zhang T. Zhao Hiram Gay Weixiong Zhang B. Sun MedIm 73 29 0 11 Aug 2020
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 UQCV BDL 173 451 0 17 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 79 32 0 14 Jun 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 138 26 0 27 Apr 2020
Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks Jiangke Lin Yi Yuan Tianjia Shao Kun Zhou 3DH 3DV 78 103 0 12 Mar 2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks Siqi Liu A. Setio Florin-Cristian Ghesu Eli Gibson Sasa Grbic Bogdan Georgescu Dorin Comaniciu AAML OOD 82 40 0 08 Mar 2020
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions Ricard Durall Margret Keuper J. Keuper 71 337 0 03 Mar 2020
Towards Learning Structure via Consensus for Face Segmentation and Parsing I. Masi Joe Mathai Wael AbdAlmageed CVBM 103 16 0 03 Nov 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li Saminul Haque Cem Anil James Lucas Roger C. Grosse Joern-Henrik Jacobsen 86 116 0 03 Nov 2019