Learned D-AMP: Principled Neural Network based Compressive Image Recovery

21 April 2017

Richard G. Baraniuk

Papers citing "Learned D-AMP: Principled Neural Network based Compressive Image Recovery"

36 / 36 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
Outlier Detection Using Generative Models with Theoretical Performance Guarantees Jirong Yi A. D. Le Tianming Wang Xiaodong Wu Weiyu Xu 27 3 0 16 Oct 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion Nicolas Zilberstein A. Sabharwal Santiago Segarra DiffM 39 7 0 08 May 2023
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal Eitan Borgnia Hong-Min Chu Jie S. Li Hamid Kazemi Furong Huang Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 30 263 0 19 Aug 2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks Ziyang Zheng Wenrui Dai Duoduo Xue Chenglin Li Junni Zou H. Xiong 34 17 0 25 Apr 2022
Tuning-free multi-coil compressed sensing MRI with Parallel Variable Density Approximate Message Passing (P-VDAMP) Charles Millard M. Chiew Jared Tanner A. Hess B. Mailhé 11 2 0 08 Mar 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 25 9 0 02 Mar 2022
Monotonically Convergent Regularization by Denoising Yuyang Hu Jiaming Liu Xiaojian Xu Ulugbek S. Kamilov 19 8 0 10 Feb 2022
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing Siming Zheng Xiaoyu Yang Xin Yuan 19 7 0 15 Jan 2022
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 17 59 0 25 Nov 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection HanQin Cai Jialin Liu W. Yin 33 39 0 11 Oct 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 35 225 0 23 Mar 2021
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing Di You Jingfen Xie Jian Andrew Zhang 19 95 0 22 Mar 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork Chang-Jen Wang Chao-Kai Wen Shang-Ho S. Tsai Shi Jin Geoffrey Ye Li 19 5 0 12 Jan 2021
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate Ruangrawee Kitichotkul Christopher A. Metzler Frank Ong Gordon Wetzstein UQCV 33 8 0 25 Oct 2020
Multi-Scale Deep Compressive Imaging Thuong Nguyen Canh B. Jeon 13 17 0 03 Aug 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 115 183 0 22 Jul 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 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 11 518 0 12 May 2020
Safeguarded Learned Convex Optimization Howard Heaton Xiaohan Chen Zhangyang Wang W. Yin 16 22 0 04 Mar 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 15 103 0 22 Feb 2020
Ada-LISTA: Learned Solvers Adaptive to Varying Models Aviad Aberdam Alona Golts Michael Elad 11 40 0 23 Jan 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 26 996 0 22 Dec 2019
Learning-Based Low-Rank Approximations Piotr Indyk A. Vakilian Yang Yuan 37 67 0 30 Oct 2019
PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy Yongbing Zhang Yangzhe Liu Xiu Li Shaowei Jiang Krishna Dixit Xinfeng Zhang Xiangyang Ji 16 13 0 19 Sep 2019
Multi-Channel Deep Networks for Block-Based Image Compressive Sensing Siwang Zhou Yan He Yonghe Liu Chengqing Li Jianming Zhang 8 112 0 28 Aug 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 20 12 0 01 Aug 2019
One-dimensional Deep Image Prior for Time Series Inverse Problems Sriram Ravula A. Dimakis 40 7 0 18 Apr 2019
Tree Search Network for Sparse Regression Kyung-Su Kim Sae-Young Chung 12 1 0 01 Apr 2019
Asymptotics of MAP Inference in Deep Networks Parthe Pandit Mojtaba Sahraee S. Rangan A. Fletcher 10 21 0 01 Mar 2019
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network Yibo Xu Weidi Liu K. Kelly 14 18 0 28 Jan 2019
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 24 178 0 17 Jun 2018
Unsupervised Learning with Stein's Unbiased Risk Estimator Christopher A. Metzler Ali Mousavi Reinhard Heckel Richard G. Baraniuk OOD 19 103 0 26 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
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014