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Effectively Unbiased FID and Inception Score and where to find them

Effectively Unbiased FID and Inception Score and where to find them

16 November 2019
Min Jin Chong
David A. Forsyth
    EGVM
ArXivPDFHTML

Papers citing "Effectively Unbiased FID and Inception Score and where to find them"

30 / 30 papers shown
Title
Learning Graph Representation of Agent Diffusers
Learning Graph Representation of Agent Diffusers
Youcef Djenouri
Nassim Belmecheri
Tomasz Michalak
Jan Dubiñski
Ahmed Nabil Belbachir
Anis Yazidi
AI4CE
168
0
0
10 May 2025
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Pramook Khungurn
Pratch Piyawongwisal
Sira Sriswadi
Supasorn Suwajanakorn
95
0
0
02 May 2025
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
Yuli Wu
Fucheng Liu
Rüveyda Yilmaz
Henning Konermann
Peter Walter
Johannes Stegmaier
EGVM
MedIm
79
2
0
24 Feb 2025
Augmented Conditioning Is Enough For Effective Training Image Generation
Augmented Conditioning Is Enough For Effective Training Image Generation
Jiahui Chen
Amy Zhang
Adriana Romero-Soriano
DiffM
VLM
148
0
0
06 Feb 2025
GRADE: Quantifying Sample Diversity in Text-to-Image Models
GRADE: Quantifying Sample Diversity in Text-to-Image Models
Royi Rassin
Aviv Slobodkin
Shauli Ravfogel
Yanai Elazar
Yoav Goldberg
327
2
0
29 Oct 2024
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
Liam Moroy
Guillaume Bourmaud
Frédéric Champagnat
Jean-François Giovannelli
DiffM
MedIm
78
0
0
21 Oct 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
239
30,108
0
01 Mar 2022
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
346
10,591
0
17 Feb 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat
Brian Karrer
Daniel R. Jiang
Sam Daulton
Benjamin Letham
A. Wilson
E. Bakshy
52
93
0
14 Oct 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
51
124
0
23 Jun 2019
Few-Shot Unsupervised Image-to-Image Translation
Few-Shot Unsupervised Image-to-Image Translation
Ming-Yuan Liu
Xun Huang
Arun Mallya
Tero Karras
Timo Aila
J. Lehtinen
Jan Kautz
50
609
0
05 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
532
10,540
0
12 Dec 2018
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
240
5,381
0
28 Sep 2018
Quasi-Monte Carlo Variational Inference
Quasi-Monte Carlo Variational Inference
Alexander K. Buchholz
F. Wenzel
Stephan Mandt
BDL
61
58
0
04 Jul 2018
An empirical study on evaluation metrics of generative adversarial
  networks
An empirical study on evaluation metrics of generative adversarial networks
Qiantong Xu
Gao Huang
Yang Yuan
Chuan Guo
Yu Sun
Felix Wu
Kilian Q. Weinberger
EGVM
61
271
0
19 Jun 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
155
4,433
0
16 Feb 2018
A Note on the Inception Score
A Note on the Inception Score
Shane T. Barratt
Rishi Sharma
EGVM
86
691
0
06 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
128
1,490
0
04 Jan 2018
AttnGAN: Fine-Grained Text to Image Generation with Attentional
  Generative Adversarial Networks
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu
Pengchuan Zhang
Qiuyuan Huang
Han Zhang
Zhe Gan
Xiaolei Huang
Xiaodong He
GAN
ViT
105
1,715
0
28 Nov 2017
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
58
1,010
0
28 Nov 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
113
1,055
0
05 Nov 2017
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
118
7,339
0
27 Oct 2017
StackGAN++: Realistic Image Synthesis with Stacked Generative
  Adversarial Networks
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
77
1,057
0
19 Oct 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
111
5,554
0
30 Mar 2017
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
468
9,027
0
10 Jun 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
804
27,303
0
02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
243
13,989
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
227
8,391
0
28 Nov 2014
Higher order scrambled digital nets achieve the optimal rate of the root
  mean square error for smooth integrands
Higher order scrambled digital nets achieve the optimal rate of the root mean square error for smooth integrands
J. Dick
79
46
0
06 Jul 2010
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