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Toward Spatially Unbiased Generative Models

Toward Spatially Unbiased Generative Models

3 August 2021
Jooyoung Choi
Jungbeom Lee
Yonghyun Jeong
Sungroh Yoon
    DiffM
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Papers citing "Toward Spatially Unbiased Generative Models"

43 / 43 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
231
30,089
0
01 Mar 2022
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
162
1,591
0
23 Jun 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
287
3,648
0
18 Feb 2021
Positional Encoding as Spatial Inductive Bias in GANs
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
81
89
0
09 Dec 2020
A Note on Data Biases in Generative Models
A Note on Data Biases in Generative Models
Patrick Esser
Robin Rombach
Bjorn Ommer
22
19
0
04 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
532
40,739
0
22 Oct 2020
Mind the Pad -- CNNs can Develop Blind Spots
Mind the Pad -- CNNs can Develop Blind Spots
B. Alsallakh
Narine Kokhlikyan
Vivek Miglani
Jun Yuan
Orion Reblitz-Richardson
52
75
0
05 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
110
1,449
0
21 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen
Yu Zhang
Heiga Zen
Ron J. Weiss
Mohammad Norouzi
William Chan
DiffM
BDL
62
791
0
02 Sep 2020
Shift Equivariance in Object Detection
Shift Equivariance in Object Detection
M. Manfredi
Yu Wang
ObjD
54
18
0
13 Aug 2020
Closed-Form Factorization of Latent Semantics in GANs
Closed-Form Factorization of Latent Semantics in GANs
Yujun Shen
Bolei Zhou
GAN
85
590
0
13 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
493
17,888
0
19 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
351
13,002
0
26 May 2020
Transforming and Projecting Images into Class-conditional Generative
  Networks
Transforming and Projecting Images into Class-conditional Generative Networks
Minyoung Huh
Richard Y. Zhang
Jun-Yan Zhu
S. Paris
Aaron Hertzmann
45
110
0
04 May 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
B. Mildenhall
Pratul P. Srinivasan
Matthew Tancik
Jonathan T. Barron
R. Ramamoorthi
Ren Ng
114
2,597
0
19 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
288
236
0
16 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
234
549
0
08 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode?
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
241
347
0
22 Jan 2020
Image Processing Using Multi-Code GAN Prior
Image Processing Using Multi-Code GAN Prior
Jinjin Gu
Yujun Shen
Bolei Zhou
GAN
72
317
0
15 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
260
5,797
0
03 Dec 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
372
279
0
07 Oct 2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBM
GAN
115
1,120
0
25 Jul 2019
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GAN
VLM
90
840
0
02 May 2019
Making Convolutional Networks Shift-Invariant Again
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
89
797
0
25 Apr 2019
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Rameen Abdal
Yipeng Qin
Peter Wonka
GAN
98
1,109
0
05 Apr 2019
COCO-GAN: Generation by Parts via Conditional Coordinating
COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin
Chia-Che Chang
Yu-Sheng Chen
Da-Cheng Juan
Wei Wei
Hwann-Tzong Chen
48
135
0
30 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
529
10,540
0
12 Dec 2018
Bias and Generalization in Deep Generative Models: An Empirical Study
Bias and Generalization in Deep Generative Models: An Empirical Study
Shengjia Zhao
Hongyu Ren
Arianna Yuan
Jiaming Song
Noah D. Goodman
Stefano Ermon
AI4CE
42
137
0
08 Nov 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
237
5,381
0
28 Sep 2018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv
  Solution
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu
Joel Lehman
Piero Molino
F. Such
Eric Frank
Alexander Sergeev
J. Yosinski
71
889
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
73
575
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
68
560
0
30 May 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
198
3,644
0
22 Mar 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
73
1,464
0
13 Jan 2018
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
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
636
130,942
0
12 Jun 2017
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
63
458
0
22 Sep 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
69
1,396
0
12 Sep 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GAN
VLM
81
1,175
0
26 Jul 2016
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
67
2,331
0
10 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.6K
76,917
0
18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
255
6,887
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
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