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On Measuring and Controlling the Spectral Bias of the Deep Image Prior

On Measuring and Controlling the Spectral Bias of the Deep Image Prior

2 July 2021
Prithvijit Chakrabarty
Pascal Mettes
Subhransu Maji
Cees G. M. Snoek
ArXivPDFHTML

Papers citing "On Measuring and Controlling the Spectral Bias of the Deep Image Prior"

32 / 32 papers shown
Title
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Taesun Yeom
Sangyoon Lee
Jaeho Lee
83
3
0
07 Oct 2024
Unsharp Mask Guided Filtering
Unsharp Mask Guided Filtering
Zenglin Shi
Yunlu Chen
E. Gavves
Pascal Mettes
Cees G. M. Snoek
39
41
0
02 Jun 2021
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Yunpeng Chen
Chen Gao
Esther Robb
Jia-Bin Huang
34
49
0
26 Aug 2020
Bringing Old Photos Back to Life
Bringing Old Photos Back to Life
Bo Liu
Bo Zhang
Dongdong Chen
Peiying Zhang
Dong Chen
Jing Liao
Fang Wen
56
206
0
20 Apr 2020
BP-DIP: A Backprojection based Deep Image Prior
BP-DIP: A Backprojection based Deep Image Prior
Jenny Zukerman
Tom Tirer
Raja Giryes
SupR
45
19
0
11 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned
  Reconstruction Methods
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Daniel Otero Baguer
Johannes Leuschner
Maximilian Schmidt
76
188
0
10 Mar 2020
Neural Architecture Search for Deep Image Prior
Neural Architecture Search for Deep Image Prior
Kary Ho
Andrew Gilbert
Hailin Jin
John Collomosse
45
36
0
14 Jan 2020
The Spectral Bias of the Deep Image Prior
The Spectral Bias of the Deep Image Prior
Prithvijit Chakrabarty
Subhransu Maji
33
38
0
18 Dec 2019
Denoising and Regularization via Exploiting the Structural Bias of
  Convolutional Generators
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
Reinhard Heckel
Mahdi Soltanolkotabi
DiffM
61
83
0
31 Oct 2019
A Bayesian Perspective on the Deep Image Prior
A Bayesian Perspective on the Deep Image Prior
Zezhou Cheng
Matheus Gadelha
Subhransu Maji
Daniel Sheldon
BDL
UQCV
64
135
0
16 Apr 2019
DeepRED: Deep Image Prior Powered by RED
DeepRED: Deep Image Prior Powered by RED
G. Mataev
Michael Elad
P. Milanfar
SupR
69
194
0
25 Mar 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural
  Networks
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
Zhi-Qin John Xu
Yaoyu Zhang
Yaoyu Zhang
Yan Xiao
Zheng Ma
119
512
0
19 Jan 2019
"Double-DIP": Unsupervised Image Decomposition via Coupled
  Deep-Image-Priors
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors
Yossi Gandelsman
Assaf Shocher
Michal Irani
63
310
0
02 Dec 2018
Image Restoration using Total Variation Regularized Deep Image Prior
Image Restoration using Total Variation Regularized Deep Image Prior
Jiaming Liu
Yu Sun
Xiaojian Xu
Ulugbek S. Kamilov
64
179
0
30 Oct 2018
Deep Decoder: Concise Image Representations from Untrained
  Non-convolutional Networks
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Reinhard Heckel
Paul Hand
72
284
0
02 Oct 2018
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
126
1,432
0
22 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 Frequency Domain Neural Network for Fast Image Super-resolution
A Frequency Domain Neural Network for Fast Image Super-resolution
Junxuan Li
Shaodi You
A. Robles-Kelly
SupR
66
34
0
08 Dec 2017
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
114
3,147
0
29 Nov 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image
  Denoising
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Peng Sun
W. Zuo
Lei Zhang
106
2,116
0
11 Oct 2017
A Review of Convolutional Neural Networks for Inverse Problems in
  Imaging
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann
Kyong Hwan Jin
M. Unser
3DV
61
592
0
11 Oct 2017
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid
  Networks
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
73
766
0
04 Oct 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
65
2,118
0
11 Nov 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
240
10,674
0
15 Sep 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
128
6,980
0
13 Aug 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,287
0
25 Apr 2016
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast
  and Effective Image Restoration
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen
Thomas Pock
DiffM
50
1,189
0
12 Aug 2015
Compression Artifacts Reduction by a Deep Convolutional Network
Compression Artifacts Reduction by a Deep Convolutional Network
Chao Dong
Yubin Deng
Chen Change Loy
Xiaoou Tang
SupR
46
793
0
27 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
426
43,234
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
284
18,587
0
06 Feb 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
132
8,066
0
31 Dec 2014
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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