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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 / 1,298 papers shown
Title
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
72
0
0
26 Nov 2024
Unsupervised Event Outlier Detection in Continuous Time
Unsupervised Event Outlier Detection in Continuous Time
Somjit Nath
Yik Chau Lui
Siqi Liu
AI4TS
67
0
0
25 Nov 2024
Reconciling Semantic Controllability and Diversity for Remote Sensing
  Image Synthesis with Hybrid Semantic Embedding
Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding
Jiaheng Liu
Danpei Zhao
Bo Yuan
Wentao Li
Tian Li
73
0
0
22 Nov 2024
Community Research Earth Digital Intelligence Twin (CREDIT)
Community Research Earth Digital Intelligence Twin (CREDIT)
John S. Schreck
Yingkai Sha
William E. Chapman
Dhamma Kimpara
Judith Berner
Seth McGinnis
Arnold Kazadi
Negin Sobhani
Ben Kirk
David John Gagne II
AI4Cl
39
1
0
09 Nov 2024
Calibrating for the Future:Enhancing Calorimeter Longevity with Deep
  Learning
Calibrating for the Future:Enhancing Calorimeter Longevity with Deep Learning
S. Ali
A. S. Ryzhikov
D. Derkach
Fedor Ratnikov
V. O. Bocharnikov
37
0
0
06 Nov 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
38
0
0
06 Nov 2024
How Analysis Can Teach Us the Optimal Way to Design Neural Operators
How Analysis Can Teach Us the Optimal Way to Design Neural Operators
Vu-Anh Le
Mehmet Dik
42
0
0
04 Nov 2024
A General Recipe for Contractive Graph Neural Networks -- Technical
  Report
A General Recipe for Contractive Graph Neural Networks -- Technical Report
Maya Bechler-Speicher
Moshe Eliasof
39
0
0
04 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
48
0
0
04 Nov 2024
Normalization Layer Per-Example Gradients are Sufficient to Predict
  Gradient Noise Scale in Transformers
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
Gavia Gray
Aman Tiwari
Shane Bergsma
Joel Hestness
30
1
0
01 Nov 2024
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz
  Constraints
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints
Jay Bear
Adam Prugel-Bennett
Jonathon S. Hare
34
1
0
30 Oct 2024
Scaling-based Data Augmentation for Generative Models and its
  Theoretical Extension
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension
Yoshitaka Koike
Takumi Nakagawa
Hiroki Waida
Takafumi Kanamori
DiffM
30
0
0
28 Oct 2024
Murine AI excels at cats and cheese: Structural differences between
  human and mouse neurons and their implementation in generative AIs
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs
R. Saiga
Kaede Shiga
Yo Maruta
C. Inomoto
Hiroshi Kajiwara
...
Yuichi Yamashita
M. Itokawa
Soichiro Ide
Kazutaka Ikeda
R. Mizutani
26
0
0
28 Oct 2024
Hamiltonian Score Matching and Generative Flows
Hamiltonian Score Matching and Generative Flows
Peter Holderrieth
Yilun Xu
Tommi Jaakkola
28
0
0
27 Oct 2024
Deep Generative Models for 3D Medical Image Synthesis
Deep Generative Models for 3D Medical Image Synthesis
Paul Friedrich
Yannik Frisch
P. Cattin
3DV
MedIm
37
3
0
23 Oct 2024
Benchmarking Smoothness and Reducing High-Frequency Oscillations in
  Continuous Control Policies
Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control Policies
Guilherme Christmann
Ying-Sheng Luo
Hanjaya Mandala
Wei-Chao Chen
21
0
0
22 Oct 2024
Normalizing self-supervised learning for provably reliable Change Point
  Detection
Normalizing self-supervised learning for provably reliable Change Point Detection
Alexandra Bazarova
Evgenia Romanenkova
Alexey Zaytsev
29
1
0
17 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
42
3
0
17 Oct 2024
AERO: Softmax-Only LLMs for Efficient Private Inference
AERO: Softmax-Only LLMs for Efficient Private Inference
N. Jha
Brandon Reagen
32
1
0
16 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
46
3
0
16 Oct 2024
Understanding Human Activity with Uncertainty Measure for Novelty in
  Graph Convolutional Networks
Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks
Hao Xing
Darius Burschka
31
1
0
10 Oct 2024
Rethinking the Evaluation of Visible and Infrared Image Fusion
Rethinking the Evaluation of Visible and Infrared Image Fusion
Dayan Guan
Yixuan Wu
Tianzhu Liu
Alex C. Kot
Yanfeng Gu
36
0
0
09 Oct 2024
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
AAML
34
1
0
07 Oct 2024
Initialization of Large Language Models via Reparameterization to
  Mitigate Loss Spikes
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
Kosuke Nishida
Kyosuke Nishida
Kuniko Saito
33
1
0
07 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
33
1
0
04 Oct 2024
PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through
  Pre-trained Network Distillation
PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation
Mohammadamin Davoodabadi
Negin Hashemi Dijujin
M. Baghshah
28
0
0
02 Oct 2024
Equivariant score-based generative models provably learn distributions
  with symmetries efficiently
Equivariant score-based generative models provably learn distributions with symmetries efficiently
Ziyu Chen
M. Katsoulakis
Benjamin J. Zhang
DiffM
37
2
0
02 Oct 2024
Enhancing GANs with Contrastive Learning-Based Multistage Progressive
  Finetuning SNN and RL-Based External Optimization
Enhancing GANs with Contrastive Learning-Based Multistage Progressive Finetuning SNN and RL-Based External Optimization
Osama Mustafa
MedIm
35
0
0
30 Sep 2024
Physics-aligned Schrödinger bridge
Physics-aligned Schrödinger bridge
Zeyu Li
Hongkun Dou
Shen Fang
Wang Han
Yue Deng
Lijun Yang
AI4CE
DiffM
30
0
0
26 Sep 2024
Enhanced Unsupervised Image-to-Image Translation Using Contrastive Learning and Histogram of Oriented Gradients
Wanchen Zhao
29
0
0
24 Sep 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
30
1
0
20 Sep 2024
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
Ekaterina Grishina
Mikhail Gorbunov
Maxim Rakhuba
AAML
22
2
0
18 Sep 2024
Uncertainty Estimation by Density Aware Evidential Deep Learning
Uncertainty Estimation by Density Aware Evidential Deep Learning
Taeseong Yoon
Heeyoung Kim
EDL
UQCV
41
1
0
13 Sep 2024
XMOL: Explainable Multi-property Optimization of Molecules
XMOL: Explainable Multi-property Optimization of Molecules
Aye Phyu Phyu Aung
Jay Chaudhary
Ji Wei Yoon
Senthilnath Jayavelu
32
0
0
12 Sep 2024
The Role of Deep Learning Regularizations on Actors in Offline RL
The Role of Deep Learning Regularizations on Actors in Offline RL
Denis Tarasov
Anja Surina
Çağlar Gülçehre
OffRL
AI4CE
53
1
0
11 Sep 2024
Enhanced Pix2Pix GAN for Visual Defect Removal in UAV-Captured Images
Enhanced Pix2Pix GAN for Visual Defect Removal in UAV-Captured Images
Volodymyr Rizun
23
0
0
10 Sep 2024
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable
  Simulation by Lipschitz Optimization
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization
Aoran Lyu
Shixian Zhao
Chuhua Xian
Zhihao Cen
Hongmin Cai
Guoxin Fang
AI4CE
34
1
0
05 Sep 2024
G3FA: Geometry-guided GAN for Face Animation
G3FA: Geometry-guided GAN for Face Animation
Alireza Javanmardi
A. Pagani
Didier Stricker
CVBM
3DH
34
2
0
23 Aug 2024
Variance reduction of diffusion model's gradients with Taylor
  approximation-based control variate
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate
Paul Jeha
Will Grathwohl
Michael Riis Andersen
Carl Henrik Ek
J. Frellsen
DiffM
32
1
0
22 Aug 2024
MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited
  Data
MS3^33D: A RG Flow-Based Regularization for GAN Training with Limited Data
Jian Wang
Xin Lan
Yuxin Tian
Jiancheng Lv
AI4CE
38
1
0
20 Aug 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
Yao Hu
Fuli Feng
AAML
35
8
0
13 Aug 2024
HAIGEN: Towards Human-AI Collaboration for Facilitating Creativity and
  Style Generation in Fashion Design
HAIGEN: Towards Human-AI Collaboration for Facilitating Creativity and Style Generation in Fashion Design
Juzheng Zhang
Di Wu
Hanhui Deng
Yidan Long
Wenyi Tang
Yongqiang Chen
Can Liu
Zhanpeng Jin
Wenlei Zhang
Tangquan Qi
38
9
0
01 Aug 2024
Unveiling the Potential of Spiking Dynamics in Graph Representation
  Learning through Spatial-Temporal Normalization and Coding Strategies
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
M. Xu
Huifeng Yin
Yujie Wu
Guoqi Li
Faqiang Liu
Jing Pei
Shuai Zhong
Lei Deng
35
0
0
30 Jul 2024
Towards the Spectral bias Alleviation by Normalizations in Coordinate
  Networks
Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks
Zhicheng Cai
Hao Zhu
Qiu Shen
Xinran Wang
Xun Cao
41
0
0
25 Jul 2024
Synthetic Image Learning: Preserving Performance and Preventing
  Membership Inference Attacks
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks
Eugenio Lomurno
Matteo Matteucci
MedIm
51
3
0
22 Jul 2024
Variational Potential Flow: A Novel Probabilistic Framework for
  Energy-Based Generative Modelling
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Junn Yong Loo
Michelle Adeline
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
DiffM
41
0
0
21 Jul 2024
Model Inversion Attacks Through Target-Specific Conditional Diffusion
  Models
Model Inversion Attacks Through Target-Specific Conditional Diffusion Models
Ouxiang Li
Yanbin Hao
Zhicai Wang
Bin Zhu
Shuo Wang
Zaixi Zhang
Fuli Feng
DiffM
25
3
0
16 Jul 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
87
4
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
H. Najjaran
30
0
0
13 Jul 2024
Controlling the Fidelity and Diversity of Deep Generative Models via
  Pseudo Density
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density
Shuangqi Li
Chen Liu
Tong Zhang
Hieu Le
Sabine Süsstrunk
Mathieu Salzmann
DiffM
43
1
0
11 Jul 2024
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