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Training Generative Adversarial Networks with Limited Data
v1v2 (latest)

Training Generative Adversarial Networks with Limited Data

Neural Information Processing Systems (NeurIPS), 2025
11 June 2020
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
    GAN
ArXiv (abs)PDFHTML

Papers citing "Training Generative Adversarial Networks with Limited Data"

38 / 1,088 papers shown
Title
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
316
309
0
07 Jan 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability
  Distributions
Exploiting Chain Rule and Bayes' Theorem to Compare Probability DistributionsNeural Information Processing Systems (NeurIPS), 2025
Huangjie Zheng
Mingyuan Zhou
OT
288
30
0
28 Dec 2020
GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic
  Face Editing
GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing
Xianxu Hou
Xiaokang Zhang
Linlin Shen
Zhihui Lai
Jun Wan
CVBMGAN
105
76
0
22 Dec 2020
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image SynthesisComputer Vision and Pattern Recognition (CVPR), 2025
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
260
3,354
0
17 Dec 2020
Learning Energy-Based Models by Diffusion Recovery Likelihood
Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao
Yang Song
Ben Poole
Ying Nian Wu
Diederik P. Kingma
DiffM
178
132
0
15 Dec 2020
Improved StyleGAN Embedding: Where are the Good Latents?
Improved StyleGAN Embedding: Where are the Good Latents?
Peihao Zhu
Rameen Abdal
Yipeng Qin
John C. Femiani
Peter Wonka
213
121
0
13 Dec 2020
Learning Energy-Based Models With Adversarial Training
Learning Energy-Based Models With Adversarial Training
Xuwang Yin
Shiying Li
Gustavo K. Rohde
AAMLDiffM
167
10
0
11 Dec 2020
Bayesian Image Reconstruction using Deep Generative Models
Bayesian Image Reconstruction using Deep Generative Models
Razvan Marinescu
Daniel Moyer
Polina Golland
OODDiffM
154
45
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
144
10
0
08 Dec 2020
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
Fangda Han
Guoyao Hao
Ricardo Guerrero
Vladimir Pavlovic
GAN
75
8
0
04 Dec 2020
CoCosNet v2: Full-Resolution Correspondence Learning for Image
  Translation
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
Xingran Zhou
Bo Zhang
Ting Zhang
Pan Zhang
Jianmin Bao
Dong Chen
Zhongfei Zhang
Fang Wen
3DV
98
7
0
03 Dec 2020
Graph Generative Adversarial Networks for Sparse Data Generation in High
  Energy Physics
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics
Raghav Kansal
Javier Mauricio Duarte
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopoulos
GAN
111
24
0
30 Nov 2020
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation
Yan Yang
Md Zakir Hossain
Tom Gedeon
Shafin Rahman
CVBM
106
15
0
30 Nov 2020
Image Generators with Conditionally-Independent Pixel Synthesis
Image Generators with Conditionally-Independent Pixel SynthesisComputer Vision and Pattern Recognition (CVPR), 2025
Ivan Anokhin
K. Demochkin
Taras Khakhulin
Gleb Sterkin
Victor Lempitsky
Denis Korzhenkov
164
163
0
27 Nov 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2025
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
700
7,640
0
26 Nov 2020
Generative Layout Modeling using Constraint Graphs
Generative Layout Modeling using Constraint GraphsIEEE International Conference on Computer Vision (ICCV), 2023
W. Para
Paul Guerrero
Tom Kelly
Leonidas Guibas
Peter Wonka
107
75
0
26 Nov 2020
Omni-GAN: On the Secrets of cGANs and Beyond
Omni-GAN: On the Secrets of cGANs and BeyondIEEE International Conference on Computer Vision (ICCV), 2023
P. Zhou
Lingxi Xie
Bingbing Ni
Cong Geng
Qi Tian
GAN
177
22
0
26 Nov 2020
Improving Augmentation and Evaluation Schemes for Semantic Image
  Synthesis
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
P. Katiyar
Anna Khoreva
126
4
0
25 Nov 2020
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary
  Raster Data
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data
Gerald Baier
Antonin Deschemps
M. Schmitt
Xiangwei Zhu
GAN
112
37
0
23 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
216
33
0
15 Nov 2020
Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D
  Image GANs
Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs
Xingang Pan
Bo Dai
Ziwei Liu
Chen Change Loy
Ping Luo
3DH
259
113
0
02 Nov 2020
A Contrastive Learning Approach for Training Variational Autoencoder
  Priors
A Contrastive Learning Approach for Training Variational Autoencoder Priors
J. Aneja
Alex Schwing
Jan Kautz
Arash Vahdat
DRL
258
88
0
06 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based
  Models
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based ModelsInternational Conference on Learning Representations (ICLR), 2025
Zhisheng Xiao
Karsten Kreis
Jan Kautz
Arash Vahdat
205
131
0
01 Oct 2020
ExGAN: Adversarial Generation of Extreme Samples
ExGAN: Adversarial Generation of Extreme SamplesAAAI Conference on Artificial Intelligence (AAAI), 2024
Siddharth Bhatia
Arjit Jain
Bryan Hooi
126
50
0
17 Sep 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
183
57
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
122
28
0
13 Aug 2020
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Elad Richardson
Yuval Alaluf
Or Patashnik
Yotam Nitzan
Yaniv Azar
Stav Shapiro
Daniel Cohen-Or
412
1,165
0
03 Aug 2020
Instance Selection for GANs
Instance Selection for GANs
Terrance Devries
M. Drozdzal
Graham W. Taylor
139
41
0
30 Jul 2020
Generative Compositional Augmentations for Scene Graph Prediction
Generative Compositional Augmentations for Scene Graph Prediction
Boris Knyazev
H. D. Vries
Cătălina Cangea
Graham W. Taylor
Aaron Courville
Eugene Belilovsky
118
27
0
11 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic ModelsNeural Information Processing Systems (NeurIPS), 2025
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
2.3K
21,794
0
19 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN TrainingNeural Information Processing Systems (NeurIPS), 2025
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
343
625
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
99
32
0
16 Jun 2020
Group Equivariant Generative Adversarial Networks
Group Equivariant Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2025
Neel Dey
Antong Chen
S. Ghafurian
GAN
136
33
0
04 May 2020
Robust Generative Adversarial Network
Robust Generative Adversarial Network
Shufei Zhang
Zhuang Qian
Kaizhu Huang
Jimin Xiao
Yuan He
104
10
0
28 Apr 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks
Blur, Noise, and Compression Robust Generative Adversarial Networks
Takuhiro Kaneko
Tatsuya Harada
119
17
0
17 Mar 2020
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
176
157
0
11 Feb 2020
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Tianyu Wang
Jun Zhu
Bo Zhang
GAN
108
49
0
20 Dec 2019
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models
Yang Wu
Pengxu Wei
Liang Lin
238
0
0
31 Oct 2019
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