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One Network to Solve Them All --- Solving Linear Inverse Problems using
  Deep Projection Models

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
ArXivPDFHTML

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
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
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
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
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
32
4
0
11 Oct 2022
Content-aware Scalable Deep Compressed Sensing
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
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
Tutorial on amortized optimization
Brandon Amos
OffRL
72
42
0
01 Feb 2022
Self-Attention Generative Adversarial Network for Iterative
  Reconstruction of CT Images
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Controlling Neural Networks via Energy Dissipation
Michael Möller
Thomas Möllenhoff
Daniel Cremers
25
17
0
05 Apr 2019
Proximal Splitting Networks for Image Restoration
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
Algorithmic Aspects of Inverse Problems Using Generative Models
C. Hegde
GAN
12
21
0
08 Oct 2018
Rate-Adaptive Neural Networks for Spatial Multiplexers
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
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
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
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
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
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
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
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
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
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
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
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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