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1703.09912
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One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
29 March 2017
Jen-Hao Rick Chang
Chun-Liang Li
Barnabás Póczós
B. Kumar
Aswin C. Sankaranarayanan
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Papers citing
"One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models"
42 / 42 papers shown
Title
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Eric Chen
Xi Chen
A. Maleki
S. Jalali
33
0
0
08 Jan 2025
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm
Geoffrey Kasenbacher
Felix Ehret
Gerrit Ecke
Sebastian Otte
49
0
0
24 Oct 2024
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
Tushar Agarwal
Nithin Sugavanam
Emre Ertin
GAN
19
2
0
30 Nov 2022
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
32
4
0
11 Oct 2022
Content-aware Scalable Deep Compressed Sensing
Bin Chen
Jian Andrew Zhang
19
54
0
19 Jul 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors
Pakshal Bohra
Thanh-an Michel Pham
Jonathan Dong
M. Unser
MedIm
21
11
0
18 Mar 2022
Tutorial on amortized optimization
Brandon Amos
OffRL
72
42
0
01 Feb 2022
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images
Ruiwen Xing
T. Humphries
D. Si
GAN
MedIm
21
1
0
23 Dec 2021
Survey of Deep Learning Methods for Inverse Problems
S. Kamyab
Zihreh Azimifar
Rasool Sabzi
Paul Fieguth
11
3
0
07 Nov 2021
Stochastic Primal-Dual Deep Unrolling
Junqi Tang
Subhadip Mukherjee
Carola-Bibiane Schönlieb
17
4
0
19 Oct 2021
Thermal Image Processing via Physics-Inspired Deep Networks
Vishwanath Saragadam
Akshat Dave
Ashok Veeraraghavan
Richard Baraniuk
AI4CE
11
15
0
18 Aug 2021
Fairness for Image Generation with Uncertain Sensitive Attributes
A. Jalal
Sushrut Karmalkar
Jessica Hoffmann
A. Dimakis
Eric Price
DiffM
27
39
0
23 Jun 2021
Instance-Optimal Compressed Sensing via Posterior Sampling
A. Jalal
Sushrut Karmalkar
A. Dimakis
Eric Price
26
51
0
21 Jun 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Pravin Nair
Ruturaj G. Gavaskar
K. Chaudhury
43
37
0
21 Apr 2021
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
30
224
0
23 Mar 2021
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
Marija Vella
João F. C. Mota
16
4
0
29 Nov 2020
FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements
Salman S. Khan
Varun Sundar
Vivek Boominathan
Ashok Veeraraghavan
Kaushik Mitra
3DV
25
67
0
29 Oct 2020
Multi-Scale Deep Compressive Imaging
Thuong Nguyen Canh
B. Jeon
11
17
0
03 Aug 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems
Erich Kobler
Alexander Effland
K. Kunisch
T. Pock
MedIm
6
19
0
15 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
11
517
0
12 May 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Carola-Bibiane Schönlieb
Hua Huang
8
103
0
22 Feb 2020
Deep synthesis regularization of inverse problems
D. Obmann
Johannes Schwab
Markus Haltmeier
8
11
0
01 Feb 2020
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
Giannis Daras
Augustus Odena
Han Zhang
A. Dimakis
19
54
0
27 Nov 2019
Non-Local ConvLSTM for Video Compression Artifact Reduction
Yi Xu
Longwen Gao
Kai Tian
Shuigeng Zhou
Huyang Sun
17
67
0
27 Oct 2019
Bayesian Inference with Generative Adversarial Network Priors
Dhruv V. Patel
Assad A. Oberai
GAN
AI4CE
25
17
0
22 Jul 2019
Image-Adaptive GAN based Reconstruction
Shady Abu Hussein
Tom Tirer
Raja Giryes
GAN
6
89
0
12 Jun 2019
One-dimensional Deep Image Prior for Time Series Inverse Problems
Sriram Ravula
A. Dimakis
37
7
0
18 Apr 2019
Controlling Neural Networks via Energy Dissipation
Michael Möller
Thomas Möllenhoff
Daniel Cremers
25
17
0
05 Apr 2019
Proximal Splitting Networks for Image Restoration
Raied Aljadaany
Dipan K. Pal
Marios Savvides
SupR
9
8
0
17 Mar 2019
Algorithmic Aspects of Inverse Problems Using Generative Models
C. Hegde
GAN
12
21
0
08 Oct 2018
Rate-Adaptive Neural Networks for Spatial Multiplexers
Suhas Lohit
Rajhans Singh
K. Kulkarni
P. Turaga
11
17
0
08 Sep 2018
Compressed Sensing with Deep Image Prior and Learned Regularization
Dave Van Veen
A. Jalal
Mahdi Soltanolkotabi
Eric Price
S. Vishwanath
A. Dimakis
22
178
0
17 Jun 2018
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising
Zhihao Xia
Ayan Chakrabarti
11
27
0
13 Jun 2018
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GAN
AI4CE
81
206
0
10 Jun 2018
Random mesh projectors for inverse problems
Sidharth Gupta
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
16
15
0
29 May 2018
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks
Rushil Anirudh
Jayaraman J. Thiagarajan
B. Kailkhura
T. Bremer
GAN
16
37
0
18 May 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler
Philip Schniter
Ashok Veeraraghavan
Richard G. Baraniuk
OOD
31
168
0
01 Mar 2018
NETT: Solving Inverse Problems with Deep Neural Networks
Housen Li
Johannes Schwab
Stephan Antholzer
Markus Haltmeier
12
238
0
28 Feb 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
Viraj Shah
C. Hegde
GAN
8
161
0
23 Feb 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems
H. Aggarwal
M. Mani
M. Jacob
15
996
0
07 Dec 2017
Accelerating GMM-based patch priors for image restoration: Three ingredients for a 100
×
\times
×
speed-up
Shibin Parameswaran
Charles-Alban Deledalle
L. Denis
Truong Thao Nguyen
32
27
0
23 Oct 2017
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
24
74
0
12 Jul 2016
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