ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.12027
  4. Cited By
Consistency Regularization for Generative Adversarial Networks
v1v2 (latest)

Consistency Regularization for Generative Adversarial Networks

26 October 2019
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
    GAN
ArXiv (abs)PDFHTML

Papers citing "Consistency Regularization for Generative Adversarial Networks"

50 / 152 papers shown
Title
Aligning Latent and Image Spaces to Connect the Unconnectable
Aligning Latent and Image Spaces to Connect the Unconnectable
Ivan Skorokhodov
Grigorii Sotnikov
Mohamed Elhoseiny
DiffM
62
80
0
14 Apr 2021
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient
  Training of Generative Adversarial Networks
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks
M. Takamoto
Yusuke Morishita
AAML
25
1
0
08 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
132
145
0
07 Apr 2021
Generalization of GANs and overparameterized models under Lipschitz
  continuity
Generalization of GANs and overparameterized models under Lipschitz continuity
Khoat Than
Nghia D. Vu
AI4CE
41
2
0
06 Apr 2021
Partition-Guided GANs
Partition-Guided GANs
Mohammadreza Armandpour
A. Sadeghian
Chunyuan Li
Mingyuan Zhou
GAN
103
19
0
02 Apr 2021
ReMix: Towards Image-to-Image Translation with Limited Data
ReMix: Towards Image-to-Image Translation with Limited Data
Jie Cao
Luanxuan Hou
Ming-Hsuan Yang
Ran He
Zhenan Sun
98
24
0
31 Mar 2021
Dual Contrastive Loss and Attention for GANs
Dual Contrastive Loss and Attention for GANs
Ning Yu
Guilin Liu
Aysegül Dündar
Andrew Tao
Bryan Catanzaro
Larry S. Davis
Mario Fritz
GAN
133
61
0
31 Mar 2021
Continuous Conditional Generative Adversarial Networks (cGAN) with
  Generator Regularization
Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization
Yufeng Zheng
Yunkai Zhang
Zeyu Zheng
GAN
20
9
0
27 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong
Jinwoo Shin
93
65
0
17 Mar 2021
Consistency Regularization for Adversarial Robustness
Consistency Regularization for Adversarial Robustness
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
Sung Ju Hwang
Jinwoo Shin
AAML
111
61
0
08 Mar 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery
  Ticket Perspective
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
Tianlong Chen
Yu Cheng
Zhe Gan
Jingjing Liu
Zhangyang Wang
82
52
0
28 Feb 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can
  Scale Up
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yi Ding
Shiyu Chang
Zhangyang Wang
ViT
163
394
0
14 Feb 2021
Functional Space Analysis of Local GAN Convergence
Functional Space Analysis of Local GAN Convergence
Valentin Khrulkov
Artem Babenko
Ivan Oseledets
42
6
0
08 Feb 2021
PConv: Simple yet Effective Convolutional Layer for Generative
  Adversarial Network
PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network
Seung Park
Yoon-Jae Yeo
Y. Shin
64
21
0
19 Jan 2021
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
Jiaheng Wei
Minghao Liu
Jiahao Luo
Andrew Zhu
James Davis
Yang Liu
GAN
162
12
0
19 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation
Cross-Modal Contrastive Learning for Text-to-Image Generation
Han Zhang
Jing Yu Koh
Jason Baldridge
Honglak Lee
Yinfei Yang
GAN
190
364
0
12 Jan 2021
Robust Learning by Self-Transition for Handling Noisy Labels
Robust Learning by Self-Transition for Handling Noisy Labels
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
72
41
0
08 Dec 2020
Data InStance Prior (DISP) in Generative Adversarial Networks
Data InStance Prior (DISP) in Generative Adversarial Networks
Puneet Mangla
Nupur Kumari
M. Singh
Balaji Krishnamurthy
V. Balasubramanian
GAN
68
10
0
08 Dec 2020
Overcoming Barriers to Data Sharing with Medical Image Generation: A
  Comprehensive Evaluation
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation
August DuMont Schütte
J. Hetzel
S. Gatidis
Tobias Hepp
Benedikt Dietz
Stefan Bauer
Patrick Schwab
MedIm
105
70
0
29 Nov 2020
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis
  Models via Adversarial Learning and Pseudo-Labeling
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
Lie Ju
Xin Wang
Xin Zhao
Paul Bonnington
Tom Drummond
Zongyuan Ge
GANMedIm
62
41
0
27 Nov 2020
Omni-GAN: On the Secrets of cGANs and Beyond
Omni-GAN: On the Secrets of cGANs and Beyond
P. Zhou
Lingxi Xie
Bingbing Ni
Cong Geng
Qi Tian
GAN
122
22
0
26 Nov 2020
Continuous Conditional Generative Adversarial Networks: Novel Empirical
  Losses and Label Input Mechanisms
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms
Xin Ding
Student Member Ieee Yongwei Wang
Zuheng Xu
William J. Welch
F. I. Z. Jane Wang
GANVLM
107
29
0
15 Nov 2020
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
Parth Patel
Nupur Kumari
M. Singh
Balaji Krishnamurthy
74
19
0
19 Oct 2020
On the Guaranteed Almost Equivalence between Imitation Learning from
  Observation and Demonstration
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
Zhihao Cheng
Liu Liu
Aishan Liu
Hao Sun
Meng Fang
Dacheng Tao
40
10
0
16 Oct 2020
Learning Manifold Implicitly via Explicit Heat-Kernel Learning
Learning Manifold Implicitly via Explicit Heat-Kernel Learning
Yufan Zhou
Changyou Chen
Jinhui Xu
95
8
0
05 Oct 2020
A Systematic Survey of Regularization and Normalization in GANs
A Systematic Survey of Regularization and Normalization in GANs
Ziqiang Li
Muhammad Usman
Rentuo Tao
Pengfei Xia
Xintian Wu
Huanhuan Chen
Bin Li
80
53
0
19 Aug 2020
Learning Temporally Invariant and Localizable Features via Data
  Augmentation for Video Recognition
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
Taeoh Kim
Hyeongmin Lee
Myeongah Cho
Hankook Lee
Dong Heon Cho
Sangyoun Lee
88
26
0
13 Aug 2020
Lessons Learned from the Training of GANs on Artificial Datasets
Lessons Learned from the Training of GANs on Artificial Datasets
Shichang Tang
44
18
0
13 Jul 2020
ContraGAN: Contrastive Learning for Conditional Image Generation
ContraGAN: Contrastive Learning for Conditional Image Generation
Minguk Kang
Jaesik Park
GAN
76
2
0
23 Jun 2020
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold
  Hypothesis
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis
Adam Block
Youssef Mroueh
Alexander Rakhlin
Jerret Ross
80
16
0
19 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
177
608
0
18 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative
  Adversarial Networks
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian
Li Shen
Li Shen
Guinan Su
Zhifeng Li
Wei Liu
GAN
79
32
0
16 Jun 2020
The Bures Metric for Generative Adversarial Networks
The Bures Metric for Generative Adversarial Networks
Hannes De Meulemeester
J. Schreurs
Michaël Fanuel
B. De Moor
Johan A. K. Suykens
GAN
51
5
0
16 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
245
1,897
0
11 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSLHAI
137
303
0
09 Jun 2020
Image Augmentations for GAN Training
Image Augmentations for GAN Training
Zhengli Zhao
Zizhao Zhang
Ting-Li Chen
Sameer Singh
Han Zhang
91
137
0
04 Jun 2020
Regularization Methods for Generative Adversarial Networks: An Overview
  of Recent Studies
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Minhyeok Lee
Junhee Seok
GAN
88
26
0
19 May 2020
Noise Homogenization via Multi-Channel Wavelet Filtering for
  High-Fidelity Sample Generation in GANs
Noise Homogenization via Multi-Channel Wavelet Filtering for High-Fidelity Sample Generation in GANs
Shaoning Zeng
Bob Zhang
DiffM
25
2
0
14 May 2020
Group Equivariant Generative Adversarial Networks
Group Equivariant Generative Adversarial Networks
Neel Dey
Antong Chen
S. Ghafurian
GAN
94
33
0
04 May 2020
Attentive Normalization for Conditional Image Generation
Attentive Normalization for Conditional Image Generation
Yi Wang
Ying-Cong Chen
Xinming Zhang
Jian Sun
Jiaya Jia
GAN
95
34
0
08 Apr 2020
Feature Quantization Improves GAN Training
Feature Quantization Improves GAN Training
Yang Zhao
Chunyuan Li
Ping Yu
Jianfeng Gao
Changyou Chen
MQ
82
47
0
05 Apr 2020
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus
  Images via Adversarial Domain Adaptation
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation
Lie Ju
Xin Wang
Quan-Gen Zhou
Hu Zhu
Mehrtash Harandi
Paul Bonnington
Tom Drummond
Zongyuan Ge
MedIm
78
7
0
23 Mar 2020
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble Learning
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
227
286
0
16 Mar 2020
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image
  Translation
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation
Takehiko Ohkawa
Naoto Inoue
Hirokatsu Kataoka
Nakamasa Inoue
54
6
0
29 Feb 2020
A U-Net Based Discriminator for Generative Adversarial Networks
A U-Net Based Discriminator for Generative Adversarial Networks
Edgar Schönfeld
Bernt Schiele
Anna Khoreva
GAN
119
297
0
28 Feb 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
116
215
0
25 Feb 2020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad
  Samples
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
Samarth Sinha
Zhengli Zhao
Anirudh Goyal
Colin Raffel
Augustus Odena
88
7
0
14 Feb 2020
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
88
153
0
11 Feb 2020
cGANs with Multi-Hinge Loss
cGANs with Multi-Hinge Loss
Ilya Kavalerov
W. Czaja
Rama Chellappa
GANAI4CE
75
23
0
09 Dec 2019
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative
  Modeling
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling
Yufan Zhou
Changyou Chen
Jinhui Xu
48
2
0
02 Dec 2019
Previous
1234
Next