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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 / 1,269 papers shown
Title
ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding
ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding
Santosh Rajagopalan
Jonathan Vronsky
Songbai Yan
S. Alireza Golestaneh
Shubhra Chandra
Min Zhou
66
0
0
26 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo
Michelle Adeline
Julia Kaiwen Lau
Fang Yu Leong
Hwa Hui Tew
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
BDL
66
0
0
22 Apr 2025
High-Fidelity Image Inpainting with Multimodal Guided GAN Inversion
High-Fidelity Image Inpainting with Multimodal Guided GAN Inversion
Libo Zhang
Yongsheng Yu
Jiali Yao
Heng Fan
48
0
0
17 Apr 2025
Spectral Normalization for Lipschitz-Constrained Policies on Learning Humanoid Locomotion
Spectral Normalization for Lipschitz-Constrained Policies on Learning Humanoid Locomotion
Jaeyong Shin
Woohyun Cha
Donghyeon Kim
Junhyeok Cha
Jaeheung Park
31
0
0
11 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
90
1
0
11 Apr 2025
X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain Equalization
X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain Equalization
Sushant Gautam
Jingdao Chen
29
0
0
10 Apr 2025
CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics
CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics
Kuntian Zhang
Simin Yu
Yaoshu Wang
Makoto Onizuka
Chuan Xiao
GAN
41
0
0
08 Apr 2025
SparsyFed: Sparse Adaptive Federated Training
SparsyFed: Sparse Adaptive Federated Training
Adriano Guastella
Lorenzo Sani
Alex Iacob
Alessio Mora
Paolo Bellavista
Nicholas D. Lane
FedML
31
0
0
07 Apr 2025
Generative Adversarial Networks with Limited Data: A Survey and Benchmarking
Generative Adversarial Networks with Limited Data: A Survey and Benchmarking
Omar de Mitri
Ruyu Wang
Marco F. Huber
37
0
0
07 Apr 2025
Style Quantization for Data-Efficient GAN Training
Style Quantization for Data-Efficient GAN Training
Jian Wang
Xin Lan
Jizhe Zhou
Yuxin Tian
Jiancheng Lv
36
0
0
31 Mar 2025
High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning
High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning
Dailan He
Xinyu Wang
Shulun Wang
Guanglu Song
Bingqi Ma
Hao Shao
Y. Liu
Hongsheng Li
DiffM
65
0
0
28 Mar 2025
Debiasing Kernel-Based Generative Models
Debiasing Kernel-Based Generative Models
Tian Qin
Wei-Min Huang
53
0
0
26 Mar 2025
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
Leheng Zhang
Weiyi You
Kexuan Shi
Shuhang Gu
62
0
0
24 Mar 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
50
0
0
24 Mar 2025
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models
Shriyank Somvanshi
Md Monzurul Islam
Mahmuda Sultana Mimi
Sazzad Bin Bashar Polock
Gaurab Chhetri
Subasish Das
Mamba
AI4TS
45
0
0
22 Mar 2025
Robustness of Nonlinear Representation Learning
Robustness of Nonlinear Representation Learning
Simon Buchholz
Bernhard Schölkopf
OOD
149
3
0
19 Mar 2025
Scaled Supervision is an Implicit Lipschitz Regularizer
Scaled Supervision is an Implicit Lipschitz Regularizer
Z. Ouyang
Chunhui Zhang
Yaning Jia
Soroush Vosoughi
BDL
OffRL
77
0
0
19 Mar 2025
MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution
X. Li
Jianlong Wu
Xinchuan Huang
C. L. Philip Chen
Weili Guan
Xian-Sheng Hua
Liqiang Nie
DiffM
56
0
0
11 Mar 2025
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models
Sajjad Hashemian
Mohammad Saeed Arvenaghi
53
0
0
11 Mar 2025
Few-Shot Class-Incremental Model Attribution Using Learnable Representation From CLIP-ViT Features
Hanbyul Lee
Juneho Yi
DiffM
48
0
0
11 Mar 2025
APECS: Adaptive Personalized Control System Architecture
Marius F. R. Juston
Alex Gisi
William R. Norris
Dustin Nottage
A. Soylemezoglu
41
0
0
10 Mar 2025
Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent Systems
Jakob Weber
Markus Gurtner
Benedikt Alt
Adrian Trachte
Andreas Kugi
64
0
0
04 Mar 2025
Φ\mathbfΦΦ-GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data
Xidan Zhang
Yihan Zhuang
Qian Guo
Haodong Yang
Xuelin Qian
Gong Cheng
Junwei Han
Zhongling Huang
GAN
AI4CE
45
0
0
04 Mar 2025
Action Tokenizer Matters in In-Context Imitation Learning
An Vuong
M. Vu
Dong An
Ian Reid
61
1
0
03 Mar 2025
Behavior Preference Regression for Offline Reinforcement Learning
Padmanaba Srinivasan
William J. Knottenbelt
OffRL
33
0
0
02 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
35
1
0
01 Mar 2025
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
Xinhang Ma
Junlin Wu
Hussein Sibai
Y. Kantaros
Yevgeniy Vorobeychik
33
0
0
28 Feb 2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Charles Dawson
Van Tran
Max Z. Li
Chuchu Fan
42
0
0
28 Feb 2025
L-Lipschitz Gershgorin ResNet Network
L-Lipschitz Gershgorin ResNet Network
Marius F. R. Juston
William R. Norris
Dustin Nottage
A. Soylemezoglu
51
0
0
28 Feb 2025
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem
Marius F. R. Juston
William R. Norris
Dustin Nottage
A. Soylemezoglu
31
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
115
480
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
65
0
0
25 Feb 2025
S4S: Solving for a Diffusion Model Solver
Eric Frankel
Sitan Chen
J. Li
Pang Wei Koh
Lillian J. Ratliff
Sewoong Oh
DiffM
48
0
0
24 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
144
5
0
21 Feb 2025
Flowing Through Layers: A Continuous Dynamical Systems Perspective on Transformers
Jacob Fein-Ashley
AI4CE
63
0
0
08 Feb 2025
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
Rémy Hosseinkhan Boucher
Onofrio Semeraro
L. Mathelin
82
0
0
28 Jan 2025
A Generalization Bound for a Family of Implicit Networks
A Generalization Bound for a Family of Implicit Networks
Samy Wu Fung
Benjamin Berkels
43
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
72
4
0
20 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Parinita Nema
V. Kurmi
CLL
58
0
0
17 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
53
0
0
14 Jan 2025
Comprehensive Review of EEG-to-Output Research: Decoding Neural Signals into Images, Videos, and Audio
Comprehensive Review of EEG-to-Output Research: Decoding Neural Signals into Images, Videos, and Audio
Yashvir Sabharwal
Balaji Rama
31
1
0
31 Dec 2024
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
Jiangdong Fan
Hongcai He
Paul Weng
Hui Xu
Jie Shao
34
0
0
31 Dec 2024
MGAN-CRCM: A Novel Multiple Generative Adversarial Network and
  Coarse-Refinement Based Cognizant Method for Image Inpainting
MGAN-CRCM: A Novel Multiple Generative Adversarial Network and Coarse-Refinement Based Cognizant Method for Image Inpainting
Nafiz Al Asad
Md. Appel Mahmud Pranto
Shri Kiran Srinivasan
Musaddeq Mahmud Akand
Mohammad Abu Yousuf
Khondokar Fida Hasan
M. Moni
GAN
49
0
0
25 Dec 2024
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
52
0
0
23 Dec 2024
Efficient Neural Network Encoding for 3D Color Lookup Tables
Efficient Neural Network Encoding for 3D Color Lookup Tables
Vahid Zehtab
David B. Lindell
Marcus A. Brubaker
Michael S. Brown
3DV
VOS
91
0
0
19 Dec 2024
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep
  Neural Networks
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks
Naoki Sato
Koshiro Izumi
Hideaki Iiduka
ODL
81
0
0
16 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Zhilin Wang
...
Liang Li
Siwei Liu
Yu Zhong
Wei Liu
Shangsong Liang
OOD
AI4TS
MedIm
120
0
0
13 Dec 2024
A Tiered GAN Approach for Monet-Style Image Generation
A Tiered GAN Approach for Monet-Style Image Generation
Fnu Neha
Deepshikha Bhati
Deepak Kumar Shukla
Md. Amiruzzaman
GAN
73
0
0
07 Dec 2024
Multi-resolution Guided 3D GANs for Medical Image Translation
Multi-resolution Guided 3D GANs for Medical Image Translation
Juhyung Ha
Jong Sung Park
David Crandall
Eleftherios Garyfallidis
Xuhong Zhang
MedIm
85
0
0
30 Nov 2024
FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot
  Cross-modal Retrieval
FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot Cross-modal Retrieval
Jingyou Xie
Jiayi Kuang
Zhenzhou Lin
Jiarui Ouyang
Zishuo Zhao
Ying Shen
VLM
CLIP
69
0
0
26 Nov 2024
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