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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 / 1,466 papers shown
Title
Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity
Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity
Samin Yeasar Arnob
Scott Fujimoto
Doina Precup
OffRL
38
0
0
20 Jun 2025
DEKC: Data-Enable Control for Tethered Space Robot Deployment in the Presence of Uncertainty via Koopman Operator Theory
Ao Jin
Qinyi Wang
Sijie Wen
Ya Liu
Ganghui Shen
Panfeng Huang
Fan Zhang
23
0
0
10 Jun 2025
Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
Yuanzhe Hu
Kinshuk Goel
Vlad Killiakov
Yaoqing Yang
61
2
0
06 Jun 2025
Exploring bidirectional bounds for minimax-training of Energy-based models
Cong Geng
Jia Wang
Li Chen
Zhiyong Gao
J. Frellsen
Søren Hauberg
104
0
0
05 Jun 2025
Optimistic critics can empower small actors
Optimistic critics can empower small actors
Olya Mastikhina
Dhruv Sreenivas
Pablo Samuel Castro
67
0
0
01 Jun 2025
Smooth Model Compression without Fine-Tuning
Smooth Model Compression without Fine-Tuning
Christina Runkel
Natacha Kuete Meli
Jovita Lukasik
A. Biguri
Carola-Bibiane Schönlieb
Michael Moeller
52
0
0
30 May 2025
Discrete Markov Bridge
Discrete Markov Bridge
Hengli Li
Yuxuan Wang
Song-Chun Zhu
Ying Nian Wu
Zilong Zheng
DiffM
71
0
0
26 May 2025
Training-Free Multi-Step Audio Source Separation
Training-Free Multi-Step Audio Source Separation
Yongyi Zang
Jingyi Li
Qiuqiang Kong
239
0
0
26 May 2025
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
Akiyoshi Tomihari
Ryo Karakida
48
0
0
26 May 2025
Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning
Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning
Ghada Sokar
Pablo Samuel Castro
57
0
0
23 May 2025
Approximation theory for 1-Lipschitz ResNets
Approximation theory for 1-Lipschitz ResNets
Davide Murari
Takashi Furuya
Carola-Bibiane Schönlieb
88
0
0
17 May 2025
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection
Lin Yuan
Xuelong Li
Yan Zhang
Jiawei Zhang
Hongbo Li
Xinbo Gao
125
0
0
18 Apr 2025
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Team Seawead
Ceyuan Yang
Zhijie Lin
Yang Zhao
Shanchuan Lin
...
Zuquan Song
Zhenheng Yang
Jiashi Feng
Jianchao Yang
Lu Jiang
DiffM
186
22
0
11 Apr 2025
HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization
HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization
Osman Goni
Himadri Saha Arka
Mithun Halder
Mir Moynuddin Ahmed Shibly
Swakkhar Shatabda
GAN
72
0
0
24 Mar 2025
Robustness of Nonlinear Representation Learning
Robustness of Nonlinear Representation Learning
Simon Buchholz
Bernhard Schölkopf
OOD
417
4
0
19 Mar 2025
Action Tokenizer Matters in In-Context Imitation Learning
An Vuong
M. Vu
Dong An
Ian Reid
121
1
0
03 Mar 2025
Investigating the contribution of terrain-following coordinates and conservation schemes in AI-driven precipitation forecasts
Investigating the contribution of terrain-following coordinates and conservation schemes in AI-driven precipitation forecasts
Yingkai Sha
John S. Schreck
William E. Chapman
David John Gagne II
76
1
0
01 Mar 2025
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem
Marius F. R. Juston
William R. Norris
Dustin Nottage
A. Soylemezoglu
89
0
0
28 Feb 2025
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
Xinhang Ma
Junlin Wu
Hussein Sibai
Y. Kantaros
Yevgeniy Vorobeychik
70
0
0
28 Feb 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
328
493
0
26 Feb 2025
GHOST 2.0: generative high-fidelity one shot transfer of heads
GHOST 2.0: generative high-fidelity one shot transfer of heads
A. Groshev
Anastasiia Iashchenko
Pavel Paramonov
Denis Dimitrov
Andrey Kuznetsov
106
0
0
25 Feb 2025
S4S: Solving for a Diffusion Model Solver
Eric Frankel
Sitan Chen
Jingkai Li
Pang Wei Koh
Lillian J. Ratliff
Sewoong Oh
DiffM
114
4
0
24 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shin'ya Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLMCLLBDLDiffM
263
5
0
21 Feb 2025
Flowing Through Layers: A Continuous Dynamical Systems Perspective on Transformers
Flowing Through Layers: A Continuous Dynamical Systems Perspective on Transformers
Jacob Fein-Ashley
AI4CE
119
1
0
08 Feb 2025
A Generalization Bound for a Family of Implicit Networks
A Generalization Bound for a Family of Implicit Networks
Samy Wu Fung
Benjamin Berkels
149
0
0
28 Jan 2025
Model Synthesis for Zero-Shot Model Attribution
Model Synthesis for Zero-Shot Model Attribution
Tianyun Yang
Juan Cao
Danding Wang
Chang Xu
WIGM
155
4
0
20 Jan 2025
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models
Shuo Li
Mehrdad Yaghoobi
137
0
0
14 Jan 2025
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
H. Kim
Jaejun Yoo
150
1
0
23 Dec 2024
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
Tyler Clark
Mark Towers
Christine Evers
Jonathon Hare
OffRL
158
1
0
06 Nov 2024
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Jim Zhao
Sidak Pal Singh
Aurelien Lucchi
AI4CE
150
0
0
04 Nov 2024
Deep Generative Models for 3D Medical Image Synthesis
Deep Generative Models for 3D Medical Image Synthesis
Paul Friedrich
Yannik Frisch
P. Cattin
3DVMedIm
92
4
0
23 Oct 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Runzhe Wu
Yiding Chen
Gokul Swamy
Kianté Brantley
Wen Sun
DiffM
149
5
0
17 Oct 2024
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun
Danqi Liao
Kincaid MacDonald
Yanlei Zhang
Chen Liu
Guillaume Huguet
Guy Wolf
Ian M. Adelstein
Tim G. J. Rudner
Smita Krishnaswamy
128
6
0
16 Oct 2024
Sm: enhanced localization in Multiple Instance Learning for medical
  imaging classification
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
Francisco M. Castro-Macías
Pablo Morales-Álvarez
Yunan Wu
Rafael Molina
Aggelos K. Katsaggelos
56
1
0
04 Oct 2024
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
Chinmay Rao
M. Osch
Nicola Pezzotti
J. de Bresser
Laurens Beljaards
J. Meineke
E. Weerdt
Huangling Lu
M. Doneva
Marius Staring
95
1
0
20 Sep 2024
Automatic Scene Generation: State-of-the-Art Techniques, Models,
  Datasets, Challenges, and Future Prospects
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects
Awal Ahmed Fime
Saifuddin Mahmud
Arpita Das
Md. Sunzidul Islam
Hong-Hoon Kim
VGen3DV
46
1
0
14 Sep 2024
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Ouxiang Li
Jiayin Cai
Y. Hao
Xiaolong Jiang
Feng-Long Xie
Fuli Feng
AAML
79
11
0
13 Aug 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Mang Ning
A. A. Salah
Itir Onal Ertugrul
CVBM
178
5
0
15 Jul 2024
Sim-to-Real Domain Adaptation for Deformation Classification
Sim-to-Real Domain Adaptation for Deformation Classification
Joel Sol
Jamil Fayyad
Shadi Alijani
Homayoun Najjaran
103
0
0
13 Jul 2024
A3D: Does Diffusion Dream about 3D Alignment?
A3D: Does Diffusion Dream about 3D Alignment?
Savva Ignatyev
Nina Konovalova
Daniil Selikhanovych
Nikolay Patakin
Nikolay Patakin
...
Anton Konushin
Peter Wonka
Alexander Filippov
Peter Wonka
Evgeny Burnaev
DiffM
184
1
0
21 Jun 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
Baoren Xiao
Hao Ni
Weixin Yang
GAN
154
0
0
27 May 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Nicholas H. Barbara
Ruigang Wang
I. Manchester
127
4
0
19 May 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding
Member Ieee Yongwei Wang
Kao Zhang
F. I. Z. Jane Wang
DiffM
137
5
0
06 May 2024
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
Haoyu Wang
Zhilu Zhang
Donglin Di
Shiliang Zhang
Wangmeng Zuo
DiffM
113
8
0
26 Apr 2024
COIN: Counterfactual inpainting for weakly supervised semantic
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COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
Dmytro Shvetsov
Joonas Ariva
M. Domnich
Raul Vicente
Dmytro Fishman
MedIm
70
0
0
19 Apr 2024
Data-free Knowledge Distillation for Fine-grained Visual Categorization
Data-free Knowledge Distillation for Fine-grained Visual Categorization
Renrong Shao
Wei Zhang
Jianhua Yin
Jun Wang
61
3
0
18 Apr 2024
Four-hour thunderstorm nowcasting using deep diffusion models of satellite
Four-hour thunderstorm nowcasting using deep diffusion models of satellite
Kuai Dai
Xutao Li
Junying Fang
Yunming Ye
Demin Yu
Hui Su
Di Xian
Danyu Qin
Jingsong Wang
AI4Cl
133
2
0
16 Apr 2024
A Gauss-Newton Approach for Min-Max Optimization in Generative
  Adversarial Networks
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks
Neel Mishra
Bamdev Mishra
Pratik Jawanpuria
Pawan Kumar
GAN
69
1
0
10 Apr 2024
Bigger is not Always Better: Scaling Properties of Latent Diffusion
  Models
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Kangfu Mei
Zhengzhong Tu
M. Delbracio
Hossein Talebi
Vishal M. Patel
P. Milanfar
DiffM
88
13
0
01 Apr 2024
Policy Bifurcation in Safe Reinforcement Learning
Policy Bifurcation in Safe Reinforcement Learning
Wenjun Zou
Yao Lyu
Jie Li
Yujie Yang
Shengbo Eben Li
Jingliang Duan
Xianyuan Zhan
Jingjing Liu
Yaqin Zhang
Keqiang Li
141
1
0
19 Mar 2024
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