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

Aswin C. Sankaranarayanan

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

10 / 60 papers shown

Title
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 29 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 18 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 31 238 0 28 Feb 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees Viraj Shah C. Hegde GAN 18 161 0 23 Feb 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 48 997 0 07 Dec 2017
InverseNet: Solving Inverse Problems with Splitting Networks Kai Fan Qinglai Wei Wenlin Wang Amit Chakraborty Katherine A. Heller 27 8 0 01 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 35 27 0 23 Oct 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction Harshit Gupta Kyong Hwan Jin H. Nguyen Michael T. McCann M. Unser 3DV 35 361 0 06 Sep 2017
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing Michael Iliadis L. Spinoulas Aggelos K. Katsaggelos 26 74 0 12 Jul 2016