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Blind Image Deconvolution using Deep Generative Priors
v1v2v3v4 (latest)

Blind Image Deconvolution using Deep Generative Priors

12 February 2018
Muhammad Asim
Fahad Shamshad
Ali Ahmed
ArXiv (abs)PDFHTML

Papers citing "Blind Image Deconvolution using Deep Generative Priors"

33 / 33 papers shown
Title
AstroClearNet: Deep image prior for multi-frame astronomical image restoration
AstroClearNet: Deep image prior for multi-frame astronomical image restoration
Yashil Sukurdeep
Fausto Navarro
T. Budavári
28
0
0
08 Apr 2025
A Comprehensive Survey on Deep Neural Image Deblurring
A Comprehensive Survey on Deep Neural Image Deblurring
S. A. Biyouki
Hoon Hwangbo
72
2
0
07 Oct 2023
Leveraging Variational Autoencoders for Parameterized MMSE Estimation
Leveraging Variational Autoencoders for Parameterized MMSE Estimation
Michael Baur
B. Fesl
Wolfgang Utschick
63
9
0
11 Jul 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Weijie Gan
Shirin Shoushtari
Yuyang Hu
Jiaming Liu
Hongyu An
Ulugbek S. Kamilov
89
12
0
22 May 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders
Explicitly Minimizing the Blur Error of Variational Autoencoders
G. Bredell
Kyriakos Flouris
K. Chaitanya
Ertunc Erdil
E. Konukoglu
75
25
0
12 Apr 2023
On Adversarial Robustness of Deep Image Deblurring
On Adversarial Robustness of Deep Image Deblurring
Kanchana Vaishnavi Gandikota
Paramanand Chandramouli
Michael Moeller
92
13
0
05 Oct 2022
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
Zhong Zhuang
Taihui Li
Hengkang Wang
Ju Sun
78
20
0
18 Aug 2022
Generative Modelling With Inverse Heat Dissipation
Generative Modelling With Inverse Heat Dissipation
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
145
120
0
21 Jun 2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
Gaurav Parmar
Yijun Li
Jingwan Lu
Richard Y. Zhang
Jun-Yan Zhu
Krishna Kumar Singh
DiffM
88
51
0
16 Jun 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying
  Multiframe Blind Deconvolution with Applications to Imaging Through
  Turbulence
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence
Brandon Yushan Feng
Mingyang Xie
Christopher A. Metzler
ViT
66
14
0
13 Mar 2022
Training Adaptive Reconstruction Networks for Blind Inverse Problems
Training Adaptive Reconstruction Networks for Blind Inverse Problems
Alban Gossard
P. Weiss
MedIm
50
6
0
23 Feb 2022
Blind Image Deconvolution Using Variational Deep Image Prior
Blind Image Deconvolution Using Variational Deep Image Prior
Dong Huo
Abbas Masoumzadeh
Rafsanjany Kushol
Yee-Hong Yang
132
11
0
01 Feb 2022
Wiener Guided DIP for Unsupervised Blind Image Deconvolution
Wiener Guided DIP for Unsupervised Blind Image Deconvolution
G. Bredell
Ertunc Erdil
B. Weber
E. Konukoglu
DiffM
74
5
0
19 Dec 2021
Face Deblurring Based on Separable Normalization and Adaptive
  Denormalization
Face Deblurring Based on Separable Normalization and Adaptive Denormalization
Xian Zhang
Hao Zhang
Jiancheng Lv
X. Li
CVBM3DH
32
3
0
18 Dec 2021
Early Stopping for Deep Image Prior
Early Stopping for Deep Image Prior
Hengkang Wang
Taihui Li
Zhong Zhuang
Tiancong Chen
Hengyue Liang
Ju Sun
98
64
0
11 Dec 2021
Deblurring via Stochastic Refinement
Deblurring via Stochastic Refinement
Jay Whang
M. Delbracio
Hossein Talebi
Chitwan Saharia
A. Dimakis
P. Milanfar
DiffM
96
275
0
05 Dec 2021
Instance-Optimal Compressed Sensing via Posterior Sampling
Instance-Optimal Compressed Sensing via Posterior Sampling
A. Jalal
Sushrut Karmalkar
A. Dimakis
Eric Price
79
52
0
21 Jun 2021
End-to-end Alternating Optimization for Blind Super Resolution
End-to-end Alternating Optimization for Blind Super Resolution
Zhengxiong Luo
Yan Huang
Shang Li
Liang Wang
Tieniu Tan
SupR
117
35
0
14 May 2021
Using Deep Image Priors to Generate Counterfactual Explanations
Using Deep Image Priors to Generate Counterfactual Explanations
V. Narayanaswamy
Jayaraman J. Thiagarajan
A. Spanias
45
4
0
22 Oct 2020
Swapping Autoencoder for Deep Image Manipulation
Swapping Autoencoder for Deep Image Manipulation
Taesung Park
Jun-Yan Zhu
Oliver Wang
Jingwan Lu
Eli Shechtman
Alexei A. Efros
Richard Y. Zhang
142
337
0
01 Jul 2020
Robust Compressed Sensing using Generative Models
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
Constantine Caramanis
96
41
0
16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
128
537
0
12 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
74
111
0
04 May 2020
State of the Art on Neural Rendering
State of the Art on Neural Rendering
A. Tewari
Ohad Fried
Justus Thies
Vincent Sitzmann
Stephen Lombardi
...
Christian Theobalt
Maneesh Agrawala
Eli Shechtman
Dan B. Goldman
Michael Zollhöfer
3DH3DV
128
472
0
08 Apr 2020
Recovering compressed images for automatic crack segmentation using
  generative models
Recovering compressed images for automatic crack segmentation using generative models
Yong Huang
Haoyu Zhang
Hui Li
Stephen Wu
21
27
0
06 Mar 2020
Deep S$^3$PR: Simultaneous Source Separation and Phase Retrieval Using
  Deep Generative Models
Deep S3^33PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
Christopher A. Metzler
Gordon Wetzstein
82
11
0
14 Feb 2020
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix
  Factorization
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
M. Aittala
Prafull Sharma
Lukas Murmann
Adam B. Yedidia
G. Wornell
William T. Freeman
F. Durand
67
30
0
05 Dec 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse
  Problems
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems
Oscar Leong
W. Sakla
GAN
66
7
0
23 Oct 2019
Invertible generative models for inverse problems: mitigating
  representation error and dataset bias
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Muhammad Asim
Max Daniels
Oscar Leong
Ali Ahmed
Paul Hand
182
154
0
28 May 2019
A Deep Optimization Approach for Image Deconvolution
A Deep Optimization Approach for Image Deconvolution
Zhijian Luo
Siyu Chen
Y. Qian
24
1
0
16 Apr 2019
Deep Generative Endmember Modeling: An Application to Unsupervised
  Spectral Unmixing
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing
R. Borsoi
Tales Imbiriba
J. Bermudez
54
105
0
14 Feb 2019
Deep Decoder: Concise Image Representations from Untrained
  Non-convolutional Networks
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Reinhard Heckel
Paul Hand
126
287
0
02 Oct 2018
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GANAI4CE
132
209
0
10 Jun 2018
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