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Are GANs Created Equal? A Large-Scale Study

Are GANs Created Equal? A Large-Scale Study

28 November 2017
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
    EGVM
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Papers citing "Are GANs Created Equal? A Large-Scale Study"

50 / 182 papers shown
Title
Position: Model Collapse Does Not Mean What You Think
Position: Model Collapse Does Not Mean What You Think
Rylan Schaeffer
Joshua Kazdan
Alvan Caleb Arulandu
Sanmi Koyejo
71
0
0
05 Mar 2025
Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights
Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights
Jiajia Xie
Sheng Zhang
Beihao Xia
Zhu Xiao
Hongbo Jiang
Siwang Zhou
Zheng Qin
Hongyang Chen
44
9
0
13 Jan 2025
Realistic Noise Synthesis with Diffusion Models
Realistic Noise Synthesis with Diffusion Models
Qi Wu
Mingyan Han
Ting Jiang
Chengzhi Jiang
B. Zeng
Man Jiang
Haoqiang Fan
Shuaicheng Liu
DiffM
88
1
0
03 Jan 2025
Enhancing User-Centric Privacy Protection: An Interactive Framework
  through Diffusion Models and Machine Unlearning
Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning
Huaxi Huang
Xin Yuan
Qiyu Liao
Dadong Wang
Tongliang Liu
DiffM
32
0
0
05 Sep 2024
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion
  Models
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
Qinghe Wang
Baolu Li
Xiaomin Li
Bing Cao
Liqian Ma
Huchuan Lu
Xu Jia
DiffM
42
6
0
24 Apr 2024
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning
  and How to Deal with It
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It
Yuta Saito
Masahiro Nomura
OffRL
47
2
0
23 Apr 2024
Better than classical? The subtle art of benchmarking quantum machine
  learning models
Better than classical? The subtle art of benchmarking quantum machine learning models
Joseph Bowles
Shahnawaz Ahmed
Maria Schuld
42
65
0
11 Mar 2024
Combining deep generative models with extreme value theory for synthetic
  hazard simulation: a multivariate and spatially coherent approach
Combining deep generative models with extreme value theory for synthetic hazard simulation: a multivariate and spatially coherent approach
Alison Peard
Jim Hall
AI4CE
24
3
0
30 Nov 2023
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical
  Imaging Research
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
Bardia Khosravi
Frank Li
Theo Dapamede
Pouria Rouzrokh
Cooper Gamble
...
C. Wyles
Andrew B. Sellergren
S. Purkayastha
Bradley J. Erickson
J. Gichoya
MedIm
36
17
0
15 Nov 2023
Matching aggregate posteriors in the variational autoencoder
Matching aggregate posteriors in the variational autoencoder
Surojit Saha
Sarang Joshi
Ross T. Whitaker
DRL
37
4
0
13 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative
  Adversarial Networks for Computer Vision
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
Hrishikesh Sharma
AI4CE
EGVM
13
1
0
02 Nov 2023
Optimal Guarantees for Algorithmic Reproducibility and Gradient
  Complexity in Convex Optimization
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang
Junchi Yang
Amin Karbasi
Niao He
34
2
0
26 Oct 2023
Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings
Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings
M. Pytlarz
Adrian Onicas
A. Crimi
GAN
MedIm
35
1
0
16 Oct 2023
Boosting Diffusion Models with an Adaptive Momentum Sampler
Boosting Diffusion Models with an Adaptive Momentum Sampler
Xiyu Wang
Anh-Dung Dinh
Daochang Liu
Chang Xu
29
4
0
23 Aug 2023
Unprocessing Seven Years of Algorithmic Fairness
Unprocessing Seven Years of Algorithmic Fairness
André F. Cruz
Moritz Hardt
31
10
0
12 Jun 2023
The Beauty or the Beast: Which Aspect of Synthetic Medical Images
  Deserves Our Focus?
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus?
Xiaodan Xing
Yang Nan
F. Felder
Simon Walsh
Guang Yang
MedIm
28
5
0
03 May 2023
ComGAN: Toward GANs Exploiting Multiple Samples
ComGAN: Toward GANs Exploiting Multiple Samples
Hae-Hwan Lee
GAN
31
0
0
24 Apr 2023
SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric
  Pattern Generation
SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric Pattern Generation
Chrystian
Wahyono
GAN
23
3
0
19 Apr 2023
Automatic Gradient Descent: Deep Learning without Hyperparameters
Automatic Gradient Descent: Deep Learning without Hyperparameters
Jeremy Bernstein
Chris Mingard
Kevin Huang
Navid Azizan
Yisong Yue
ODL
16
17
0
11 Apr 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative
  Models in Engineering Design
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Lyle Regenwetter
Akash Srivastava
Dan Gutfreund
Faez Ahmed
24
28
0
06 Feb 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for
  Adversarial Nets
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
Hussein Hazimeh
Natalia Ponomareva
GAN
33
2
0
31 Jan 2023
Extremal Domain Translation with Neural Optimal Transport
Extremal Domain Translation with Neural Optimal Transport
Milena Gazdieva
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
30
11
0
30 Jan 2023
Measuring the Measuring Tools: An Automatic Evaluation of Semantic
  Metrics for Text Corpora
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora
George Kour
Samuel Ackerman
Orna Raz
E. Farchi
Boaz Carmeli
Ateret Anaby-Tavor
41
10
0
29 Nov 2022
Digital twins of physical printing-imaging channel
Digital twins of physical printing-imaging channel
Yury Belousov
Brian Pulfer
Roman Chaban
Joakim Tutt
O. Taran
T. Holotyak
Slava Voloshynovskiy
29
9
0
28 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with
  Limited Data
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
35
4
0
27 Oct 2022
Evaluating the Performance of StyleGAN2-ADA on Medical Images
Evaluating the Performance of StyleGAN2-ADA on Medical Images
M. Woodland
J. Wood
B. Anderson
Suprateek Kundu
E. Lin
...
S. Yedururi
Briand De
Yuan-Mao Lin
Ankit B. Patel
Kristy K. Brock
MedIm
32
22
0
07 Oct 2022
GENHOP: An Image Generation Method Based on Successive Subspace Learning
GENHOP: An Image Generation Method Based on Successive Subspace Learning
Xuejing Lei
Wei Wang
C.-C. Jay Kuo
VLM
30
6
0
07 Oct 2022
Fair mapping
Fair mapping
Sébastien Gambs
Rosin Claude Ngueveu
42
0
0
01 Sep 2022
A Realism Metric for Generated LiDAR Point Clouds
A Realism Metric for Generated LiDAR Point Clouds
Larissa T. Triess
Christoph B. Rist
David Peter
J. Marius Zöllner
3DPC
32
8
0
31 Aug 2022
Character Generation through Self-Supervised Vectorization
Character Generation through Self-Supervised Vectorization
Gokcen Gokceoglu
Emre Akbas
25
0
0
03 Aug 2022
ArtFID: Quantitative Evaluation of Neural Style Transfer
ArtFID: Quantitative Evaluation of Neural Style Transfer
Matthias Wright
Bjorn Ommer
EGVM
34
39
0
25 Jul 2022
Comparing the latent space of generative models
Comparing the latent space of generative models
Andrea Asperti
Valerio Tonelli
DRL
26
12
0
14 Jul 2022
Earthformer: Exploring Space-Time Transformers for Earth System
  Forecasting
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Zhihan Gao
Xingjian Shi
Hao Wang
Yi Zhu
Yuyang Wang
Mu Li
Dit-Yan Yeung
AI4TS
39
150
0
12 Jul 2022
FakeNews: GAN-based generation of realistic 3D volumetric data -- A
  systematic review and taxonomy
FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy
André Ferreira
Jianning Li
Kelsey L. Pomykala
Jens Kleesiek
Victor Alves
Jan Egger
MedIm
29
22
0
04 Jul 2022
Why is constrained neural language generation particularly challenging?
Why is constrained neural language generation particularly challenging?
Cristina Garbacea
Qiaozhu Mei
59
14
0
11 Jun 2022
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Hao Li
Jinghui Qin
Zhi Yang
Pengxu Wei
Jin-shan Pan
Liang Lin
Yukai Shi
33
19
0
06 Jun 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
Zohreh Azizi
C.-C. Jay Kuo
VLM
DiffM
GAN
33
8
0
01 Jun 2022
Comparing interpretation methods in mental state decoding analyses with
  deep learning models
Comparing interpretation methods in mental state decoding analyses with deep learning models
A. Thomas
Christopher Ré
R. Poldrack
AI4CE
21
2
0
31 May 2022
Synthetic Data -- what, why and how?
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
43
109
0
06 May 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with
  Anomaly-Aware Bidirectional GANs
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
Bowen Tian
Qinliang Su
Jian Yin
31
18
0
28 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
21
38
0
10 Apr 2022
The Role of ImageNet Classes in Fréchet Inception Distance
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkaanniemi
Tero Karras
M. Aittala
Timo Aila
J. Lehtinen
EGVM
VLM
38
199
0
11 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLM
OOD
MedIm
27
85
0
02 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
25
29,982
0
01 Mar 2022
Addressing Randomness in Evaluation Protocols for Out-of-Distribution
  Detection
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection
Konstantin Kirchheim
Tim Gonschorek
F. Ortmeier
OODD
28
2
0
01 Mar 2022
When do GANs replicate? On the choice of dataset size
When do GANs replicate? On the choice of dataset size
Qianli Feng
Chen Guo
Fabian Benitez-Quiroz
Aleix M. Martinez
142
54
0
23 Feb 2022
On the Robustness of Quality Measures for GANs
On the Robustness of Quality Measures for GANs
Motasem Alfarra
Juan C. Pérez
Anna Frühstück
Philip Torr
Peter Wonka
Guohao Li
AAML
EGVM
96
10
0
31 Jan 2022
Wasserstein Iterative Networks for Barycenter Estimation
Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin
Vage Egiazarian
Lingxiao Li
Evgeny Burnaev
34
24
0
28 Jan 2022
Generalization Metrics for Practical Quantum Advantage in Generative
  Models
Generalization Metrics for Practical Quantum Advantage in Generative Models
Kaitlin Gili
M. Mauri
A. Perdomo-Ortiz
38
7
0
21 Jan 2022
Reproducibility in Learning
Reproducibility in Learning
R. Impagliazzo
Rex Lei
T. Pitassi
Jessica Sorrell
29
43
0
20 Jan 2022
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