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On Aliased Resizing and Surprising Subtleties in GAN Evaluation

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

22 April 2021
Gaurav Parmar
Richard Y. Zhang
Jun-Yan Zhu
    EGVM
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Papers citing "On Aliased Resizing and Surprising Subtleties in GAN Evaluation"

50 / 59 papers shown
Title
Latte: Latent Diffusion Transformer for Video Generation
Latte: Latent Diffusion Transformer for Video Generation
Xin Ma
Yaohui Wang
Gengyun Jia
Xinyuan Chen
Ziqiang Liu
Yuan-Fang Li
Cunjian Chen
Yu Qiao
DiffM
VGen
150
252
0
05 Jan 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
106
30,021
0
01 Mar 2022
Blending Anti-Aliasing into Vision Transformer
Blending Anti-Aliasing into Vision Transformer
Shengju Qian
Hao Shao
Yi Zhu
Mu Li
Jiaya Jia
54
20
0
28 Oct 2021
Alias-Free Generative Adversarial Networks
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
148
1,582
0
23 Jun 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Matthew Tancik
Peter Hedman
Ricardo Martín Brualla
Pratul P. Srinivasan
65
1,945
0
24 Mar 2021
Dual Contradistinctive Generative Autoencoder
Dual Contradistinctive Generative Autoencoder
Gaurav Parmar
Dacheng Li
Kwonjoon Lee
Zhuowen Tu
GAN
30
81
0
19 Nov 2020
What makes fake images detectable? Understanding properties that
  generalize
What makes fake images detectable? Understanding properties that generalize
Lucy Chai
David Bau
Ser-Nam Lim
Phillip Isola
AAML
WIGM
64
305
0
24 Aug 2020
Delving Deeper into Anti-aliasing in ConvNets
Delving Deeper into Anti-aliasing in ConvNets
Xueyan Zou
Fanyi Xiao
Zhiding Yu
Yong Jae Lee
SupR
46
105
0
21 Aug 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
84
541
0
01 Jul 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
74
603
0
18 Jun 2020
Diverse Image Generation via Self-Conditioned GANs
Diverse Image Generation via Self-Conditioned GANs
Steven Liu
Tongzhou Wang
David Bau
Jun-Yan Zhu
Antonio Torralba
SyDa
52
107
0
18 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
114
1,869
0
11 Jun 2020
CNN-generated images are surprisingly easy to spot... for now
CNN-generated images are surprisingly easy to spot... for now
Sheng-Yu Wang
Oliver Wang
Richard Y. Zhang
Andrew Owens
Alexei A. Efros
OOD
112
965
0
23 Dec 2019
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
87
1,732
0
04 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
211
42,038
0
03 Dec 2019
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
250
5,769
0
03 Dec 2019
Effectively Unbiased FID and Inception Score and where to find them
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong
David A. Forsyth
EGVM
40
202
0
16 Nov 2019
Consistency Regularization for Generative Adversarial Networks
Consistency Regularization for Generative Adversarial Networks
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
GAN
57
284
0
26 Oct 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
95
542
0
04 Jul 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRL
BDL
101
1,788
0
02 Jun 2019
Classification Accuracy Score for Conditional Generative Models
Classification Accuracy Score for Conditional Generative Models
Suman V. Ravuri
Oriol Vinyals
EGVM
47
232
0
26 May 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
40
609
0
05 May 2019
Making Convolutional Networks Shift-Invariant Again
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
72
794
0
25 Apr 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
70
844
0
15 Apr 2019
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative
  Models
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou
Mitchell L. Gordon
Ranjay Krishna
Austin Narcomey
Li Fei-Fei
Michael S. Bernstein
VLM
EGVM
20
120
0
01 Apr 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based
  Models
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp
Mitch Hill
Tian Han
Song-Chun Zhu
Ying Nian Wu
42
154
0
29 Mar 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
96
3,399
0
28 Mar 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
118
2,679
0
18 Mar 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
494
10,466
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
209
5,363
0
28 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
199
3,110
0
09 Jul 2018
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
63
569
0
31 May 2018
Why do deep convolutional networks generalize so poorly to small image
  transformations?
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay
Yair Weiss
54
559
0
30 May 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
103
2,479
0
12 Apr 2018
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELM
EGVM
52
874
0
09 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
254
11,610
0
11 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
71
1,470
0
04 Jan 2018
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
44
1,008
0
28 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
100
7,318
0
27 Oct 2017
Do GANs actually learn the distribution? An empirical study
Do GANs actually learn the distribution? An empirical study
Sanjeev Arora
Yi Zhang
27
191
0
26 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.0K
20,692
0
17 Apr 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
64
1,800
0
22 Dec 2016
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
95
397
0
20 Oct 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
55
1,395
0
12 Sep 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
120
2,490
0
16 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
353
8,999
0
10 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
317
18,300
0
27 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
171
3,670
0
26 May 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
175
10,202
0
27 Mar 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRL
GAN
60
1,137
0
08 Feb 2016
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