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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 / 1,316 papers shown
Title
TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for
  High-Fidelity Virtual Try-On
TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On
Jiazheng Xing
Chao Xu
Yijie Qian
Yang Liu
Guang Dai
Baigui Sun
Yong-Jin Liu
Jingdong Wang
DiffM
57
1
0
01 Apr 2024
Parameter and Data-Efficient Spectral StyleDCGAN
Parameter and Data-Efficient Spectral StyleDCGAN
Aryan Garg
CVBM
GAN
32
0
0
31 Mar 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
AI4CE
GAN
40
1
0
31 Mar 2024
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
Junghyup Lee
Bumsub Ham
32
6
0
28 Mar 2024
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity
  Talking Head Generation
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation
Seyeon Kim
Siyoon Jin
Jihye Park
Kihong Kim
Jiyoung Kim
Jisu Nam
Seungryong Kim
DiffM
VGen
66
3
0
28 Mar 2024
Time-series Initialization and Conditioning for Video-agnostic
  Stabilization of Video Super-Resolution using Recurrent Networks
Time-series Initialization and Conditioning for Video-agnostic Stabilization of Video Super-Resolution using Recurrent Networks
Hiroshi Mori
Norimichi Ukita
43
0
0
23 Mar 2024
A Wasserstein perspective of Vanilla GANs
A Wasserstein perspective of Vanilla GANs
Lea Kunkel
Mathias Trabs
34
6
0
22 Mar 2024
Simple Ingredients for Offline Reinforcement Learning
Simple Ingredients for Offline Reinforcement Learning
Edoardo Cetin
Andrea Tirinzoni
Matteo Pirotta
A. Lazaric
Yann Ollivier
Ahmed Touati
OffRL
40
2
0
19 Mar 2024
Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model
Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model
Jiajie Yang
40
0
0
19 Mar 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
44
1
0
19 Mar 2024
Neural-Kernel Conditional Mean Embeddings
Neural-Kernel Conditional Mean Embeddings
Eiki Shimizu
Kenji Fukumizu
Dino Sejdinovic
43
3
0
16 Mar 2024
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time
  Training
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training
Edward P. Chandler
Shirin Shoushtari
Jiaming Liu
M. Salman Asif
Ulugbek S. Kamilov
OOD
34
1
0
15 Mar 2024
Online Policy Learning from Offline Preferences
Online Policy Learning from Offline Preferences
Guoxi Zhang
Han Bao
Hisashi Kashima
OffRL
49
0
0
15 Mar 2024
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different
  learning objectives
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives
Ivo M. Baltruschat
Parvaneh Janbakhshi
Matthias Lenga
MedIm
27
4
0
12 Mar 2024
Frequency-Aware Deepfake Detection: Improving Generalizability through
  Frequency Space Learning
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
Chuangchuang Tan
Yao-Min Zhao
Shikui Wei
Guanghua Gu
Ping Liu
Yunchao Wei
52
8
0
12 Mar 2024
Data-Independent Operator: A Training-Free Artifact Representation
  Extractor for Generalizable Deepfake Detection
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Chuangchuang Tan
Ping Liu
Renshuai Tao
Huan Liu
Yao-Min Zhao
Baoyuan Wu
Yunchao Wei
42
9
0
11 Mar 2024
Linearly Constrained Weights: Reducing Activation Shift for Faster
  Training of Neural Networks
Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks
Takuro Kutsuna
LLMSV
32
1
0
08 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng
Tian Han
Peng-Tao Jiang
Hao Zhang
Jinwei Chen
Søren Hauberg
Bo-wen Li
DiffM
33
2
0
04 Mar 2024
APISR: Anime Production Inspired Real-World Anime Super-Resolution
APISR: Anime Production Inspired Real-World Anime Super-Resolution
Boyang Wang
Fengyu Yang
Xihang Yu
Chao Zhang
Han Zhao
SupR
57
11
0
03 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCV
OOD
38
4
0
01 Mar 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter
  Lesson of Reinforcement Learning
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
Michal Nauman
Michal Bortkiewicz
Piotr Milo's
Tomasz Trzciñski
M. Ostaszewski
Marek Cygan
OffRL
30
17
0
01 Mar 2024
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise
  Missing Data
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
Qiao Han
Mingqian Li
Yao Yang
Yiteng Zhai
41
0
0
29 Feb 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An
  Adversarial Perspective
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective
Xinjian Luo
Yangfan Jiang
Fei Wei
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
DiffM
46
4
0
28 Feb 2024
DecisionNCE: Embodied Multimodal Representations via Implicit Preference
  Learning
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
Jianxiong Li
Jinliang Zheng
Yinan Zheng
Liyuan Mao
Xiaoming Hu
...
Jihao Liu
Yu Liu
Jingjing Liu
Ya Zhang
Xianyuan Zhan
LM&Ro
OffRL
37
8
0
28 Feb 2024
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty
  Estimation from Unlabelled Data
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data
David S. W. Williams
Daniele De Martini
Matthew Gadd
Paul Newman
UQCV
29
5
0
27 Feb 2024
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image
  Modeling
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling
David S. W. Williams
Matthew Gadd
Paul Newman
Daniele De Martini
UQCV
27
1
0
27 Feb 2024
An Interpretable Evaluation of Entropy-based Novelty of Generative
  Models
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
Jingwei Zhang
Cheuk Ting Li
Farzan Farnia
EGVM
40
6
0
27 Feb 2024
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias
  Towards Compression Domain
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
Qunliang Xing
Mai Xu
Shengxi Li
Xin Deng
Meisong Zheng
Huaida Liu
Ying Chen
45
2
0
27 Feb 2024
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via
  Unconditional Training at Lower Resolutions
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
Saeed Khorram
Mingqi Jiang
Mohamad Shahbazi
Mohamad H. Danesh
Li Fuxin
GAN
46
1
0
26 Feb 2024
Training Implicit Generative Models via an Invariant Statistical Loss
Training Implicit Generative Models via an Invariant Statistical Loss
José Manuel de Frutos
Pablo M. Olmos
M. Vázquez
Joaquín Míguez
SyDa
GAN
38
1
0
26 Feb 2024
Generative AI in Vision: A Survey on Models, Metrics and Applications
Generative AI in Vision: A Survey on Models, Metrics and Applications
Gaurav Raut
Apoorv Singh
VLM
MedIm
43
6
0
26 Feb 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers
Spectrum Extraction and Clipping for Implicitly Linear Layers
A. Boroojeny
Matus Telgarsky
Hari Sundaram
MLT
32
5
0
25 Feb 2024
Learning to See Through Dazzle
Learning to See Through Dazzle
Xiaopeng Peng
Erin F. Fleet
A. Watnik
Grover A. Swartzlander
GAN
AAML
32
4
0
24 Feb 2024
Reimagining Anomalies: What If Anomalies Were Normal?
Reimagining Anomalies: What If Anomalies Were Normal?
Philipp Liznerski
Saurabh Varshneya
Ece Calikus
Sophie Fellenz
Marius Kloft
33
4
0
22 Feb 2024
Scaling physics-informed hard constraints with mixture-of-experts
Scaling physics-informed hard constraints with mixture-of-experts
N. Chalapathi
Yiheng Du
Aditi Krishnapriyan
AI4CE
40
12
0
20 Feb 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty
  Quantification Methods
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang
Kamalika Das
Kumar Sricharan
UQCV
35
0
0
20 Feb 2024
Robustness and Exploration of Variational and Machine Learning
  Approaches to Inverse Problems: An Overview
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
31
0
0
19 Feb 2024
HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined
  RGB and Depth Inpainting
HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined RGB and Depth Inpainting
Ankan Dash
Jingyi Gu
Guiling Wang
GAN
15
1
0
15 Feb 2024
Real-World Atmospheric Turbulence Correction via Domain Adaptation
Real-World Atmospheric Turbulence Correction via Domain Adaptation
Xijun Wang
Santiago López-Tapia
Aggelos K. Katsaggelos
OOD
32
3
0
12 Feb 2024
On provable privacy vulnerabilities of graph representations
On provable privacy vulnerabilities of graph representations
Ruofan Wu
Guanhua Fang
Qiying Pan
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AAML
35
0
0
06 Feb 2024
Towards Understanding the Word Sensitivity of Attention Layers: A Study
  via Random Features
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
Simone Bombari
Marco Mondelli
39
3
0
05 Feb 2024
Low-Resource Cross-Domain Singing Voice Synthesis via Reduced
  Self-Supervised Speech Representations
Low-Resource Cross-Domain Singing Voice Synthesis via Reduced Self-Supervised Speech Representations
Panos Kakoulidis
Nikolaos Ellinas
G. Vamvoukakis
Myrsini Christidou
Alexandra Vioni
...
Junkwang Oh
Gunu Jho
Inchul Hwang
Pirros Tsiakoulis
Aimilios Chalamandaris
28
1
0
02 Feb 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Ruigang Wang
Krishnamurthy Dvijotham
I. Manchester
36
5
0
02 Feb 2024
AToM: Amortized Text-to-Mesh using 2D Diffusion
AToM: Amortized Text-to-Mesh using 2D Diffusion
Guocheng Qian
Junli Cao
Aliaksandr Siarohin
Yash Kant
Chaoyang Wang
...
Igor Gilitschenski
Jian Ren
Guohao Li
Kfir Aberman
Sergey Tulyakov
DiffM
44
15
0
01 Feb 2024
SLIM: Skill Learning with Multiple Critics
SLIM: Skill Learning with Multiple Critics
David Emukpere
Bingbing Wu
Julien Perez
J. Renders
20
1
0
01 Feb 2024
Control-Theoretic Techniques for Online Adaptation of Deep Neural
  Networks in Dynamical Systems
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
Jacob G. Elkins
F. Fahimi
AI4CE
24
0
0
01 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Blaise Delattre
Quentin Barthélemy
Alexandre Allauzen
34
2
0
31 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural
  Networks Efficiently
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
Zicun Cong
Baoxu Shi
Shan Li
Jaewon Yang
Qi He
Jian Pei
52
4
0
26 Jan 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted
  Activations
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
Patricia Pauli
Aaron J. Havens
Alexandre Araujo
Siddharth Garg
Farshad Khorrami
Frank Allgöwer
Bin Hu
46
4
0
25 Jan 2024
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural
  Networks
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks
Yang Sui
Miao Yin
Yu Gong
Jinqi Xiao
Huy Phan
Bo Yuan
21
5
0
18 Jan 2024
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