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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
LayoutDM: Transformer-based Diffusion Model for Layout Generation
LayoutDM: Transformer-based Diffusion Model for Layout Generation
Shang Chai
Liansheng Zhuang
Feng Yan
DiffM
86
56
0
04 May 2023
Score-based Generative Modeling Through Backward Stochastic Differential
  Equations: Inversion and Generation
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation
Zihao Wang
DiffM
76
4
0
26 Apr 2023
Spectral Normalization and Dual Contrastive Regularization for
  Image-to-Image Translation
Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation
Chen Zhao
W. Cai
Zheng Yuan
DiffM
65
13
0
22 Apr 2023
High-Fidelity and Freely Controllable Talking Head Video Generation
High-Fidelity and Freely Controllable Talking Head Video Generation
Yue Gao
Yuan-yuan Zhou
Jinglu Wang
Xiao Li
Xiang Ming
Yan Lu
VGen
101
38
0
20 Apr 2023
Nonlinear MPC for Quadrotors in Close-Proximity Flight with Neural
  Network Downwash Prediction
Nonlinear MPC for Quadrotors in Close-Proximity Flight with Neural Network Downwash Prediction
Jinjie Li
Liang Han
Haoyang Yu
Yuheng Lin
Qingdong Li
Z. Ren
105
8
0
16 Apr 2023
On the Adversarial Inversion of Deep Biometric Representations
On the Adversarial Inversion of Deep Biometric Representations
Gioacchino Tangari
Shreesh Keskar
Hassan Jameel Asghar
Dali Kaafar
AAML
74
2
0
12 Apr 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
113
6
0
06 Apr 2023
UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image
  Translation
UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation
D. Torbunov
Yi Huang
Huan-Hsin Tseng
Haiwang Yu
Jin-zhi Huang
Shinjae Yoo
Meifeng Lin
B. Viren
Yihui Ren
82
12
0
28 Mar 2023
Object-Centric Relational Representations for Image Generation
Object-Centric Relational Representations for Image Generation
L. Butera
Andrea Cini
Alberto Ferrante
Cesare Alippi
OCLDiffM
70
0
0
26 Mar 2023
Spatial Latent Representations in Generative Adversarial Networks for
  Image Generation
Spatial Latent Representations in Generative Adversarial Networks for Image Generation
Maciej Sypetkowski
GAN
69
1
0
25 Mar 2023
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging
Qi Wang
Lucas Mahler
Julius Steiglechner
Florian Birk
K. Scheffler
Gabriele Lohmann
MedIm
80
4
0
24 Mar 2023
Polynomial Implicit Neural Representations For Large Diverse Datasets
Polynomial Implicit Neural Representations For Large Diverse Datasets
Rajhans Singh
Ankita Shukla
Pavan Turaga
AI4CE
84
24
0
20 Mar 2023
Generative Adversarial Network for Personalized Art Therapy in Melanoma
  Disease Management
Generative Adversarial Network for Personalized Art Therapy in Melanoma Disease Management
Lennart Jütte
Ning Wang
Bernhard Roth
GANLM&MAMedIm
23
0
0
16 Mar 2023
Efficient Uncertainty Estimation with Gaussian Process for Reliable
  Dialog Response Retrieval
Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval
Tong Ye
Zhitao Li
Jianzong Wang
Ning Cheng
Jing Xiao
BDL
49
1
0
15 Mar 2023
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized
  Coordinate Querying
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Weihuang Liu
Xiaodong Cun
Chi-Man Pun
Menghan Xia
Yong Zhang
Jue Wang
94
41
0
15 Mar 2023
Provably Convergent Plug-and-Play Quasi-Newton Methods
Provably Convergent Plug-and-Play Quasi-Newton Methods
Hongwei Tan
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
91
15
0
09 Mar 2023
M-EBM: Towards Understanding the Manifolds of Energy-Based Models
M-EBM: Towards Understanding the Manifolds of Energy-Based Models
Xiulong Yang
Shihao Ji
62
5
0
08 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
105
554
0
07 Mar 2023
Generative Modeling with Flow-Guided Density Ratio Learning
Generative Modeling with Flow-Guided Density Ratio Learning
Alvin Heng
Abdul Fatir Ansari
Harold Soh
63
1
0
07 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
A Unified Algebraic Perspective on Lipschitz Neural Networks
Alexandre Araujo
Aaron J. Havens
Blaise Delattre
A. Allauzen
Bin Hu
AAML
89
56
0
06 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables
Guiding Energy-based Models via Contrastive Latent Variables
Hankook Lee
Jongheon Jeong
Sejun Park
Jinwoo Shin
BDL
88
15
0
06 Mar 2023
Improving GAN Training via Feature Space Shrinkage
Improving GAN Training via Feature Space Shrinkage
Haozhe Liu
Wentian Zhang
Bing Li
Haoqian Wu
Nanjun He
Yawen Huang
Yuexiang Li
Guohao Li
Yefeng Zheng
GAN
59
6
0
02 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement
  Learning
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
137
18
0
02 Mar 2023
Image-Based Virtual Try-on System With Clothing-Size Adjustment
Image-Based Virtual Try-on System With Clothing-Size Adjustment
Minoru Kuribayashi
Koki Nakai
N. Funabiki
3DH
34
4
0
27 Feb 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Grigory Khromov
Sidak Pal Singh
168
8
0
21 Feb 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative
  Adversarial Network
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
Xiaojian Yuan
Kejiang Chen
Jie Zhang
Weiming Zhang
Neng H. Yu
Yangyi Zhang
72
39
0
20 Feb 2023
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
Catherine Ordun
Edward Raff
S. Purushotham
DiffM
94
7
0
18 Feb 2023
Universality laws for Gaussian mixtures in generalized linear models
Universality laws for Gaussian mixtures in generalized linear models
Yatin Dandi
Ludovic Stephan
Florent Krzakala
Bruno Loureiro
Lenka Zdeborová
FedML
102
23
0
17 Feb 2023
Deterministic Nonsmooth Nonconvex Optimization
Deterministic Nonsmooth Nonconvex Optimization
Michael I. Jordan
Guy Kornowski
Tianyi Lin
Ohad Shamir
Manolis Zampetakis
153
26
0
16 Feb 2023
Plug-and-Play Deep Energy Model for Inverse problems
Plug-and-Play Deep Energy Model for Inverse problems
Jyothi Rikabh Chand
M. Jacob
59
0
0
15 Feb 2023
Learning to Scale Temperature in Masked Self-Attention for Image
  Inpainting
Learning to Scale Temperature in Masked Self-Attention for Image Inpainting
Xiang Zhou
Yuan Zeng
Yi Gong
83
2
0
13 Feb 2023
Constrained Empirical Risk Minimization: Theory and Practice
Constrained Empirical Risk Minimization: Theory and Practice
Eric Marcus
Ray Sheombarsing
Jan-Jakob Sonke
Jonas Teuwen
77
1
0
09 Feb 2023
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation
  Meets Regularization by Enhancing
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
Wenjie Zhu
Peijie Qiu
Oana Dumitrascu
Jacob Jacob
Mohammad Farazi
Zhangsihao Yang
Keshav Nandakumar
Yalin Wang
MedIm
84
13
0
06 Feb 2023
Private GANs, Revisited
Private GANs, Revisited
Alex Bie
Gautam Kamath
Guojun Zhang
106
16
0
06 Feb 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with
  Lipschitz Regularized Value Function
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
Ruijie Zheng
Xiyao Wang
Huazhe Xu
Furong Huang
107
15
0
02 Feb 2023
Fairness and Accuracy under Domain Generalization
Fairness and Accuracy under Domain Generalization
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
102
23
0
30 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee
Beomsu Kim
Jong Chul Ye
147
60
0
27 Jan 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled
  Time Series
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari
Alvin Heng
Andre Lim
Harold Soh
BDLAI4TS
91
16
0
26 Jan 2023
Few-shot Font Generation by Learning Style Difference and Similarity
Few-shot Font Generation by Learning Style Difference and Similarity
Xiao He
Mingrui Zhu
N. Wang
Xinbo Gao
Heng Yang
116
8
0
24 Jan 2023
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
Dongsik Yoon
Jeong-gi Kwak
Yuanming Li
D. Han
Hanseok Ko
CVBM
47
2
0
20 Jan 2023
Reference Guided Image Inpainting using Facial Attributes
Reference Guided Image Inpainting using Facial Attributes
Dongsik Yoon
Jeong-gi Kwak
Yuanming Li
D. Han
Youngsaeng Jin
Hanseok Ko
CVBM
69
3
0
19 Jan 2023
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
Jiapeng Zhu
Ceyuan Yang
Yujun Shen
Zifan Shi
Bo Dai
Deli Zhao
Qifeng Chen
GAN
46
21
0
11 Jan 2023
FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion
FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion
Martin Pernuš
Clinton Fookes
Vitomir Štruc
Simon Dobrišek
DiffM
84
29
0
05 Jan 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
Muralikrishnna G. Sethuraman
Romain Lopez
Ramkumar Veppathur Mohan
Faramarz Fekri
Tommaso Biancalani
Jan-Christian Hütter
CML
79
12
0
04 Jan 2023
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings,
  and Future Directions
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions
Edward Y. Chang
MedIm
54
7
0
27 Dec 2022
DiffFace: Diffusion-based Face Swapping with Facial Guidance
DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim
Yunho Kim
Seokju Cho
Junyoung Seo
Jisu Nam
Kychul Lee
Seung Wook Kim
Kwanghee Lee
DiffM
101
59
0
27 Dec 2022
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive
  Building Occupancy Detection Using Smart Meter Data
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data
Zhirui Luo
Ruobin Qi
Qingqing Li
Jun Zheng
Sihua Shao
95
4
0
21 Dec 2022
Attention-Aware Anime Line Drawing Colorization
Attention-Aware Anime Line Drawing Colorization
Yu Cao
Hao Tian
P. Y. Mok
105
10
0
21 Dec 2022
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
Royson Lee
Rui Li
Stylianos I. Venieris
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
SupR
44
5
0
15 Dec 2022
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Yue Song
N. Sebe
Wei Wang
82
6
0
11 Dec 2022
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