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1802.04073
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Blind Image Deconvolution using Deep Generative Priors
12 February 2018
Muhammad Asim
Fahad Shamshad
Ali Ahmed
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Papers citing
"Blind Image Deconvolution using Deep Generative Priors"
50 / 52 papers shown
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The Star Geometry of Critic-Based Regularizer Learning
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Oscar Leong
Eliza O'Reilly
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29 Aug 2024
Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors
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Muzammal Naseer
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Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding
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Zongsheng Yue
Hui Wang
Qian Zhao
Deyu Meng
VLM
293
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20 Jul 2024
Lightening Anything in Medical Images
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Yixuan Li
Weidong Yang
Hengjun Gao
Jingyi Xu
Lipeng Ma
Yatian Yang
Pinghong Zhou
MedIm
252
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01 Jun 2024
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
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Zhibo Chen
Heming Sun
Li Zhang
Fan Zhang
327
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23 May 2024
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zihao Zou
Jiaming Liu
Shirin Shoushtari
Yubo Wang
Weijie Gan
Ulugbek S. Kamilov
VGen
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299
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0
26 Nov 2023
A Comprehensive Survey on Deep Neural Image Deblurring
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Hoon Hwangbo
228
6
0
07 Oct 2023
Leveraging Variational Autoencoders for Parameterized MMSE Estimation
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Michael Baur
B. Fesl
Wolfgang Utschick
259
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0
11 Jul 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Neural Information Processing Systems (NeurIPS), 2023
Weijie Gan
Shirin Shoushtari
Yuyang Hu
Jiaming Liu
Hongyu An
Ulugbek S. Kamilov
311
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22 May 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders
International Conference on Learning Representations (ICLR), 2023
G. Bredell
Kyriakos Flouris
K. Chaitanya
Ertunc Erdil
E. Konukoglu
207
43
0
12 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Computer Vision and Pattern Recognition (CVPR), 2023
Ben Fei
Zhaoyang Lyu
Liang Pan
Junzhe Zhang
Weidong Yang
Tian-jian Luo
Bo Zhang
Bo Dai
DiffM
432
313
0
03 Apr 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems
Journal of machine learning research (JMLR), 2023
Giovanni S. Alberti
J. Hertrich
Matteo Santacesaria
Silvia Sciutto
DRL
474
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0
27 Mar 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
M. Delbracio
P. Milanfar
DiffM
693
177
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20 Mar 2023
Optimization for Amortized Inverse Problems
International Conference on Machine Learning (ICML), 2022
Tianci Liu
Tong Yang
Quan Zhang
Qi Lei
366
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0
25 Oct 2022
On Adversarial Robustness of Deep Image Deblurring
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Kanchana Vaishnavi Gandikota
Paramanand Chandramouli
Michael Moeller
260
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05 Oct 2022
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
International Journal of Computer Vision (IJCV), 2022
Zhong Zhuang
Taihui Li
Hengkang Wang
Ju Sun
373
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18 Aug 2022
Generative Modelling With Inverse Heat Dissipation
International Conference on Learning Representations (ICLR), 2022
Severi Rissanen
Markus Heinonen
Arno Solin
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166
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21 Jun 2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
Computer Vision and Pattern Recognition (CVPR), 2022
Gaurav Parmar
Yijun Li
Jingwan Lu
Richard Y. Zhang
Jun-Yan Zhu
Krishna Kumar Singh
DiffM
248
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0
16 Jun 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Brandon Yushan Feng
Mingyang Xie
Christopher A. Metzler
ViT
377
18
0
13 Mar 2022
Training Adaptive Reconstruction Networks for Blind Inverse Problems
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2022
Alban Gossard
P. Weiss
MedIm
479
11
0
23 Feb 2022
Blind Image Deconvolution Using Variational Deep Image Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Dong Huo
Abbas Masoumzadeh
Rafsanjany Kushol
Yee-Hong Yang
338
21
0
01 Feb 2022
Wiener Guided DIP for Unsupervised Blind Image Deconvolution
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
G. Bredell
Ertunc Erdil
B. Weber
E. Konukoglu
DiffM
264
10
0
19 Dec 2021
Face Deblurring Based on Separable Normalization and Adaptive Denormalization
Xian Zhang
Hao Zhang
Jiancheng Lv
X. Li
CVBM
3DH
164
3
0
18 Dec 2021
Early Stopping for Deep Image Prior
Hengkang Wang
Taihui Li
Zhong Zhuang
Tiancong Chen
Hengyue Liang
Ju Sun
626
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11 Dec 2021
Deblurring via Stochastic Refinement
Computer Vision and Pattern Recognition (CVPR), 2021
Jay Whang
M. Delbracio
Hossein Talebi
Chitwan Saharia
A. Dimakis
P. Milanfar
DiffM
503
360
0
05 Dec 2021
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning
Ali Syed Saqlain
Li-Yun Wang
Fang Fang
GAN
214
2
0
07 Nov 2021
Regularising Inverse Problems with Generative Machine Learning Models
Journal of Mathematical Imaging and Vision (JMIV), 2021
Margaret Duff
Neill D. F. Campbell
Matthias Joachim Ehrhardt
GAN
MedIm
283
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0
22 Jul 2021
Instance-Optimal Compressed Sensing via Posterior Sampling
International Conference on Machine Learning (ICML), 2021
A. Jalal
Sushrut Karmalkar
A. Dimakis
Eric Price
242
62
0
21 Jun 2021
A Deep Variational Bayesian Framework for Blind Image Deblurring
Knowledge-Based Systems (KBS), 2021
Haibo Wang
Zongsheng Yue
Qian Zhao
Deyu Meng
BDL
185
24
0
05 Jun 2021
End-to-end Alternating Optimization for Blind Super Resolution
Zhengxiong Luo
Yan Huang
Shang Li
Liang Wang
Tieniu Tan
SupR
291
40
0
14 May 2021
Using Deep Image Priors to Generate Counterfactual Explanations
V. Narayanaswamy
Jayaraman J. Thiagarajan
A. Spanias
228
4
0
22 Oct 2020
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors
Paul Hand
Oscar Leong
V. Voroninski
267
8
0
24 Aug 2020
Swapping Autoencoder for Deep Image Manipulation
Taesung Park
Jun-Yan Zhu
Oliver Wang
Jingwan Lu
Eli Shechtman
Alexei A. Efros
Richard Y. Zhang
1.4K
368
0
01 Jul 2020
Generative Patch Priors for Practical Compressive Image Recovery
Rushil Anirudh
Suhas Lohit
Pavan Turaga
GAN
329
4
0
18 Jun 2020
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
Constantine Caramanis
470
49
0
16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
494
639
0
12 May 2020
Transforming and Projecting Images into Class-conditional Generative Networks
European Conference on Computer Vision (ECCV), 2020
Minyoung Huh
Richard Y. Zhang
Jun-Yan Zhu
S. Paris
Aaron Hertzmann
328
116
0
04 May 2020
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
3DH
3DV
377
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Recovering compressed images for automatic crack segmentation using generative models
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Haoyu Zhang
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Stephen Wu
192
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Deep S
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PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
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Gordon Wetzstein
273
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14 Feb 2020
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
Neural Information Processing Systems (NeurIPS), 2019
M. Aittala
Prafull Sharma
Lukas Murmann
Adam B. Yedidia
G. Wornell
William T. Freeman
F. Durand
177
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0
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Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems
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W. Sakla
GAN
214
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Invertible generative models for inverse problems: mitigating representation error and dataset bias
International Conference on Machine Learning (ICML), 2019
Muhammad Asim
Max Daniels
Oscar Leong
Ali Ahmed
Paul Hand
562
172
0
28 May 2019
A Deep Optimization Approach for Image Deconvolution
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Siyu Chen
Y. Qian
159
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Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing
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300
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Deep Ptych: Subsampled Fourier Ptychography using Generative Priors
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Farwa Abbas
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194
41
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22 Dec 2018
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