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MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

27 May 2024
Baoren Xiao
Hao Ni
Weixin Yang
    GAN
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Papers citing "MCGAN: Enhancing GAN Training with Regression-Based Generator Loss"

36 / 36 papers shown
Title
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
21
69
0
19 Jun 2022
Sig-Wasserstein GANs for Time Series Generation
Sig-Wasserstein GANs for Time Series Generation
Hao Ni
Lukasz Szpruch
Marc Sabate Vidales
Baoren Xiao
Magnus Wiese
Shujian Liao
SyDa
AI4TS
26
74
0
01 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
49
111
0
01 Nov 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
32
35
0
21 Jul 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
52
142
0
07 Apr 2021
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
40
22
0
26 Nov 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
72
603
0
18 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu
L. Wenliang
Michael Munn
Beatrice Acciaio
GAN
CML
28
96
0
15 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
101
1,869
0
11 Jun 2020
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
245
5,769
0
03 Dec 2019
Consistency Regularization for Generative Adversarial Networks
Consistency Regularization for Generative Adversarial Networks
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
GAN
47
284
0
26 Oct 2019
On the Evaluation of Conditional GANs
On the Evaluation of Conditional GANs
Terrance Devries
Adriana Romero
Luis Villaseñor-Pineda
Graham W. Taylor
M. Drozdzal
EGVM
48
42
0
11 Jul 2019
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CML
MU
SyDa
GAN
68
1,232
0
01 Jul 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
191
5,363
0
28 Sep 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
119
4,421
0
16 Feb 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
38
768
0
15 Feb 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
51
1,457
0
13 Jan 2018
A Note on the Inception Score
A Note on the Inception Score
Shane T. Barratt
Rishi Sharma
EGVM
55
688
0
06 Jan 2018
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
93
7,318
0
27 Oct 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional
  GANs
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Cristóbal Esteban
Stephanie L. Hyland
Gunnar Rätsch
GAN
SyDa
MedIm
78
779
0
08 Jun 2017
Approximation and Convergence Properties of Generative Adversarial
  Learning
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu
Olivier Bousquet
Kamalika Chaudhuri
16
137
0
24 May 2017
Geometric GAN
Geometric GAN
Jae Hyun Lim
J. C. Ye
GAN
37
516
0
08 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
82
9,509
0
31 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
61
2,102
0
17 Jan 2017
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
211
4,554
0
13 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
361
3,201
0
30 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
342
2,913
0
15 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
107
1,112
0
11 Sep 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
319
8,999
0
10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
55
1,648
0
02 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
998
192,638
0
10 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
423
7,952
0
13 Jun 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
107
2,586
0
16 Feb 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OOD
GAN
78
844
0
10 Feb 2015
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
187
10,365
0
06 Nov 2014
Estimating divergence functionals and the likelihood ratio by convex
  risk minimization
Estimating divergence functionals and the likelihood ratio by convex risk minimization
X. Nguyen
Martin J. Wainwright
Michael I. Jordan
121
799
0
04 Sep 2008
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