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Consistency Regularization for Generative Adversarial Networks

Consistency Regularization for Generative Adversarial Networks

26 October 2019
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
    GAN
ArXivPDFHTML

Papers citing "Consistency Regularization for Generative Adversarial Networks"

50 / 153 papers shown
Title
Adaptive Domain Generalization via Online Disagreement Minimization
Adaptive Domain Generalization via Online Disagreement Minimization
X. Zhang
Ying-Cong Chen
OOD
27
5
0
03 Aug 2022
Generator Knows What Discriminator Should Learn in Unconditional GANs
Generator Knows What Discriminator Should Learn in Unconditional GANs
Gayoung Lee
Hyunsung Kim
Jae Hyun Kim
Seonghyeon Kim
Jung-Woo Ha
Yunjey Choi
30
13
0
27 Jul 2022
BMD-GAN: Bone mineral density estimation using x-ray image decomposition
  into projections of bone-segmented quantitative computed tomography using
  hierarchical learning
BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning
Yidong Gu
Y. Otake
Keisuke Uemura
Mazen Soufi
Masaki Takao
Nobuhiko Sugano
Yoshinobu Sato
22
5
0
07 Jul 2022
The ArtBench Dataset: Benchmarking Generative Models with Artworks
The ArtBench Dataset: Benchmarking Generative Models with Artworks
Peiyuan Liao
Xiuyu Li
Xihui Liu
Kurt Keutzer
25
47
0
22 Jun 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
16
67
0
19 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
DiffM
26
221
0
05 Jun 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Liang Hou
Qi Cao
Yige Yuan
Songtao Zhao
Chongyang Ma
Siyuan Pan
Pengfei Wan
Xiaoshuang Li
Huawei Shen
Xueqi Cheng
23
7
0
31 May 2022
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image
  Generation
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation
Xintian Wu
Huanyu Wang
Yiming Wu
Xi Li
19
2
0
12 May 2022
A Closer Look at Few-shot Image Generation
A Closer Look at Few-shot Image Generation
Yunqing Zhao
Henghui Ding
Houjing Huang
Ngai-man Cheung
34
72
0
08 May 2022
The Brazilian Data at Risk in the Age of AI?
The Brazilian Data at Risk in the Age of AI?
R. F. D. S. Teixeira
R. B. Januzi
F. Faria
14
1
0
03 May 2022
Enhancing Mechanical Metamodels with a Generative Model-Based Augmented
  Training Dataset
Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset
Hiba Kobeissi
S. Mohammadzadeh
Emma Lejeune
AI4CE
46
15
0
08 Mar 2022
Few Shot Generative Model Adaption via Relaxed Spatial Structural
  Alignment
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment
Jiayu Xiao
Liang Li
Chaofei Wang
Zhengjun Zha
Qingming Huang
GAN
38
73
0
06 Mar 2022
Image Generation with Self Pixel-wise Normalization
Image Generation with Self Pixel-wise Normalization
Yoon-Jae Yeo
M. Sagong
Seung Park
Sung-Jea Ko
Y. Shin
DiffM
MedIm
26
10
0
26 Jan 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark
vCLIMB: A Novel Video Class Incremental Learning Benchmark
Andrés Villa
Kumail Alhamoud
Juan Carlos León Alcázar
Fabian Caba Heilbron
Victor Escorcia
Guohao Li
CLL
69
32
0
23 Jan 2022
A Novel Generator with Auxiliary Branch for Improving GAN Performance
A Novel Generator with Auxiliary Branch for Improving GAN Performance
Seung-won Park
Y. Shin
24
7
0
30 Dec 2021
Manifold Learning Benefits GANs
Manifold Learning Benefits GANs
Yao Ni
Piotr Koniusz
Richard I. Hartley
Richard Nock
GAN
31
16
0
23 Dec 2021
Meta-Learning and Self-Supervised Pretraining for Real World Image
  Translation
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
Ileana Rugina
Rumen Dangovski
Mark S. Veillette
Pooya Khorrami
Brian Cheung
Olga Simek
M. Soljavcić
VLM
SSL
25
2
0
22 Dec 2021
Ensembling Off-the-shelf Models for GAN Training
Ensembling Off-the-shelf Models for GAN Training
Nupur Kumari
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
34
86
0
16 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
42
539
0
15 Dec 2021
Feature Statistics Mixing Regularization for Generative Adversarial
  Networks
Feature Statistics Mixing Regularization for Generative Adversarial Networks
Junho Kim
Yunjey Choi
Youngjung Uh
TTA
31
17
0
08 Dec 2021
Adaptive Feature Interpolation for Low-Shot Image Generation
Adaptive Feature Interpolation for Low-Shot Image Generation
M. Dai
Haibin Hang
Xiaoyang Guo
GAN
22
12
0
04 Dec 2021
Generative Convolution Layer for Image Generation
Generative Convolution Layer for Image Generation
Seung-won Park
Y. Shin
24
11
0
30 Nov 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited
  Data
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Liming Jiang
Bo Dai
Wayne Wu
Chen Change Loy
89
104
0
12 Nov 2021
Generative Adversarial Network for Probabilistic Forecast of Random
  Dynamical System
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System
K. Yeo
Zan Li
Wesley M. Gifford
SyDa
GAN
AI4TS
AI4CE
33
4
0
04 Nov 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Minguk Kang
Woohyeon Shim
Minsu Cho
Jaesik Park
GAN
39
108
0
01 Nov 2021
A Unified View of cGANs with and without Classifiers
A Unified View of cGANs with and without Classifiers
Si-An Chen
Chun-Liang Li
Hsuan-Tien Lin
GAN
22
10
0
01 Nov 2021
GenCo: Generative Co-training for Generative Adversarial Networks with
  Limited Data
GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data
Kaiwen Cui
Jiaxing Huang
Zhipeng Luo
Gongjie Zhang
Fangneng Zhan
Shijian Lu
39
34
0
04 Oct 2021
FICGAN: Facial Identity Controllable GAN for De-identification
FICGAN: Facial Identity Controllable GAN for De-identification
Yonghyun Jeong
Jooyoung Choi
Sungwon Kim
Youngmin Ro
Tae-Hyun Oh
Doyeon Kim
Heonseok Ha
Sungroh Yoon
PICV
CVBM
33
14
0
02 Oct 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
62
137
0
09 Sep 2021
Rethinking Multidimensional Discriminator Output for Generative
  Adversarial Networks
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks
M. Dai
Haibin Hang
A. Srivastava
18
3
0
08 Sep 2021
Gradient Normalization for Generative Adversarial Networks
Gradient Normalization for Generative Adversarial Networks
Yi-Lun Wu
Hong-Han Shuai
Zhi Rui Tam
H. Chiu
GAN
27
63
0
06 Sep 2021
Conditional GANs with Auxiliary Discriminative Classifier
Conditional GANs with Auxiliary Discriminative Classifier
Liang Hou
Qi Cao
Huawei Shen
Siyuan Pan
Xiaoshuang Li
Xueqi Cheng
GAN
30
35
0
21 Jul 2021
Generative Adversarial Learning via Kernel Density Discrimination
Generative Adversarial Learning via Kernel Density Discrimination
Abdelhak Lemkhenter
Adam Bielski
Alp Eren Sari
Paolo Favaro
GAN
26
0
0
13 Jul 2021
ViTGAN: Training GANs with Vision Transformers
ViTGAN: Training GANs with Vision Transformers
Kwonjoon Lee
Huiwen Chang
Lu Jiang
Han Zhang
Zhuowen Tu
Ce Liu
ViT
28
183
0
09 Jul 2021
Are conditional GANs explicitly conditional?
Are conditional GANs explicitly conditional?
Houssem-eddine Boulahbal
A. Voicila
Andrew I. Comport
GAN
36
1
0
28 Jun 2021
Rethinking Adam: A Twofold Exponential Moving Average Approach
Rethinking Adam: A Twofold Exponential Moving Average Approach
Yizhou Wang
Yue Kang
Can Qin
Huan Wang
Yi Xu
Yulun Zhang
Y. Fu
ODL
17
6
0
22 Jun 2021
Class Balancing GAN with a Classifier in the Loop
Class Balancing GAN with a Classifier in the Loop
Harsh Rangwani
Konda Reddy Mopuri
R. Venkatesh Babu
11
18
0
17 Jun 2021
Self-Supervised GANs with Label Augmentation
Self-Supervised GANs with Label Augmentation
Liang Hou
Huawei Shen
Qi Cao
Xueqi Cheng
27
18
0
16 Jun 2021
Dynamically Grown Generative Adversarial Networks
Dynamically Grown Generative Adversarial Networks
Lanlan Liu
Yuting Zhang
Jia Deng
Stefano Soatto
AI4CE
GAN
14
12
0
16 Jun 2021
Reverse Engineering of Generative Models: Inferring Model
  Hyperparameters from Generated Images
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
Vishal Asnani
Xi Yin
Tal Hassner
Xiaoming Liu
28
65
0
15 Jun 2021
Improved Transformer for High-Resolution GANs
Improved Transformer for High-Resolution GANs
Long Zhao
Zizhao Zhang
Ting Chen
Dimitris N. Metaxas
Han Zhang
ViT
34
95
0
14 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang
Yujun Shen
Yinghao Xu
Bolei Zhou
33
83
0
08 Jun 2021
F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain
F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain
Shin'ya Yamaguchi
Sekitoshi Kanai
27
4
0
04 Jun 2021
Consistency Regularization for Variational Auto-Encoders
Consistency Regularization for Variational Auto-Encoders
Samarth Sinha
Adji Bousso Dieng
CML
25
68
0
31 May 2021
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and
  Interpretable Visual Understanding
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
Zizhao Zhang
Han Zhang
Long Zhao
Ting Chen
Sercan Ö. Arik
Tomas Pfister
ViT
22
169
0
26 May 2021
Label Geometry Aware Discriminator for Conditional Generative Networks
Label Geometry Aware Discriminator for Conditional Generative Networks
Suman Sapkota
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Tae-Kyun Kim
GAN
41
0
0
12 May 2021
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck
  Kernels
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels
Yufan Zhou
Changyou Chen
Jinhui Xu
22
2
0
10 May 2021
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
Gaurav Parmar
Richard Y. Zhang
Jun-Yan Zhu
EGVM
25
74
0
22 Apr 2021
Quaternion Generative Adversarial Networks
Quaternion Generative Adversarial Networks
Eleonora Grassucci
Edoardo Cicero
Danilo Comminiello
27
33
0
19 Apr 2021
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
27
78
0
14 Apr 2021
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