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Mimicry: Towards the Reproducibility of GAN Research

Mimicry: Towards the Reproducibility of GAN Research

5 May 2020
Kwot Sin Lee
C. Town
    OffRL
ArXiv (abs)PDFHTMLGithub (609★)

Papers citing "Mimicry: Towards the Reproducibility of GAN Research"

19 / 19 papers shown
Title
ParaGAN: A Scalable Distributed Training Framework for Generative
  Adversarial Networks
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks
Ziji Shi
Jialin Li
Yang You
88
1
0
06 Nov 2024
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Mitch Hill
Erik Nijkamp
Jonathan Mitchell
Bo Pang
Song-Chun Zhu
558
12
0
29 Oct 2022
medigan: a Python library of pretrained generative models for medical
  image synthesis
medigan: a Python library of pretrained generative models for medical image synthesis
Richard Osuala
Grzegorz Skorupko
Noussair Lazrak
Lidia Garrucho
E. García
...
Michael Rutherford
Fred Prior
Kaisar Kushibar
Oliver Díaz
Karim Lekadir
LM&MAMedIm
107
24
0
28 Sep 2022
Explicit Use of Fourier Spectrum in Generative Adversarial Networks
Explicit Use of Fourier Spectrum in Generative Adversarial Networks
Soroush Sheikh Gargar
GANOOD
90
1
0
02 Aug 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
168
80
0
19 Jun 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density
  Modeling
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling
Mitch Hill
Jonathan Mitchell
Chu Chen
Yuan Du
M. Shah
Song-Chun Zhu
89
0
0
24 May 2022
Investigating Shifts in GAN Output-Distributions
Investigating Shifts in GAN Output-Distributions
Ricard Durall
J. Keuper
OODGAN
77
0
0
28 Dec 2021
Representing 3D Shapes with Probabilistic Directed Distance Fields
Representing 3D Shapes with Probabilistic Directed Distance Fields
Tristan Aumentado-Armstrong
Stavros Tsogkas
Sven J. Dickinson
Allan D. Jepson
84
24
0
10 Dec 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi-An Ma
124
32
0
12 Nov 2021
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial
  Networks
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Vineeth S. Bhaskara
Tristan Aumentado-Armstrong
Allan D. Jepson
Alex Levinshtein
GAN
108
5
0
04 Nov 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
105
4
0
04 Jun 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
151
23
0
24 Feb 2021
Slimmable Generative Adversarial Networks
Slimmable Generative Adversarial Networks
Liang Hou
Zehuan Yuan
Lei Huang
Huawei Shen
Xueqi Cheng
Changhu Wang
GANAI4CE
135
42
0
10 Dec 2020
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
Yuanqi Chen
Ge Li
Cece Jin
Shan Liu
Thomas H. Li
146
55
0
10 Dec 2020
Multiclass non-Adversarial Image Synthesis, with Application to
  Classification from Very Small Sample
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
Itamar Winter
D. Weinshall
GAN
83
0
0
25 Nov 2020
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
Tristan Aumentado-Armstrong
Alex Levinshtein
Stavros Tsogkas
Konstantinos G. Derpanis
Allan D. Jepson
78
8
0
16 Nov 2020
Neural Function Modules with Sparse Arguments: A Dynamic Approach to
  Integrating Information across Layers
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across LayersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Alex Lamb
Anirudh Goyal
A. Slowik
Michael C. Mozer
Philippe Beaudoin
Yoshua Bengio
103
3
0
15 Oct 2020
Generative Model without Prior Distribution Matching
Generative Model without Prior Distribution Matching
Cong Geng
Jia Wang
Lixing Chen
Zhiyong Gao
GAN
530
1
0
23 Sep 2020
InfoMax-GAN: Improved Adversarial Image Generation via Information
  Maximization and Contrastive Learning
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
Kwot Sin Lee
Ngoc-Trung Tran
Ngai-Man Cheung
GAN
242
70
0
09 Jul 2020
1