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"

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Title
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 38 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 21 2 0 30 Nov 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 43 4 0 11 Oct 2022
Content-aware Scalable Deep Compressed Sensing Bin Chen Jian Zhang 27 55 0 19 Jul 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 38 11 0 31 May 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 75 43 0 01 Feb 2022
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images Ruiwen Xing T. Humphries D. Si GAN MedIm 26 1 0 23 Dec 2021
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 21 3 0 07 Nov 2021
Stochastic Primal-Dual Deep Unrolling Junqi Tang Subhadip Mukherjee Carola-Bibiane Schönlieb 24 4 0 19 Oct 2021
Learning to Learn Graph Topologies Xingyue Pu Tianyue Cao Xiaoyun Zhang Xiaowen Dong Siheng Chen 24 39 0 19 Oct 2021
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision J. Suo Weihang Zhang Jin Gong Xin Yuan D. Brady Qionghai Dai 43 23 0 18 Sep 2021
Thermal Image Processing via Physics-Inspired Deep Networks Vishwanath Saragadam Akshat Dave Ashok Veeraraghavan Richard Baraniuk AI4CE 13 15 0 18 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 41 322 0 03 Aug 2021
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing Di You Jian Zhang Jingfen Xie Bin Chen Siwei Ma 42 100 0 15 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 32 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 46 37 0 21 Apr 2021
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution Xiu Li J. Suo Weihang Zhang Xin Yuan Qionghai Dai 16 20 0 07 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 40 225 0 23 Mar 2021
Scalable Deep Compressive Sensing Zhonghao Zhang Yipeng Liu Xingyu Cao Fei Wen Ce Zhu 13 2 0 20 Jan 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
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms J. Hertrich Sebastian Neumayer Gabriele Steidl 16 57 0 04 Nov 2020
FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements Salman S. Khan Varun Sundar Vivek Boominathan Ashok Veeraraghavan Kaushik Mitra 3DV 30 67 0 29 Oct 2020
Multi-Scale Deep Compressive Imaging Thuong Nguyen Canh B. Jeon 13 17 0 03 Aug 2020
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction Yunmei Chen Hongcheng Liu X. Ye Qingchao Zhang 56 23 0 22 Jul 2020
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations Dongdong Chen Mike E. Davies Mohammad Golbabaee 16 16 0 27 Jun 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems Erich Kobler Alexander Effland K. Kunisch T. Pock MedIm 22 19 0 15 Jun 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion H. Kobayashi A. Solak Joshua D. Batson Loic A. Royer 16 13 0 11 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 13 520 0 12 May 2020
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization Marija Vella João F. C. Mota SupR 16 13 0 02 Apr 2020
Recovering compressed images for automatic crack segmentation using generative models Yong Huang Haoyu Zhang Hui Li Stephen Wu 11 27 0 06 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 21 103 0 22 Feb 2020
Deep synthesis regularization of inverse problems D. Obmann Johannes Schwab Markus Haltmeier 15 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 35 54 0 27 Nov 2019
Non-Local ConvLSTM for Video Compression Artifact Reduction Yi Xu Longwen Gao Kai Tian Shuigeng Zhou Huyang Sun 24 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
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap C. Hegde 23 70 0 20 Jun 2019
Image-Adaptive GAN based Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes GAN 13 89 0 12 Jun 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zhangyang Wang W. Yin AI4CE 22 347 0 14 May 2019
One-dimensional Deep Image Prior for Time Series Inverse Problems Sriram Ravula A. Dimakis 42 7 0 18 Apr 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 33 17 0 05 Apr 2019
Proximal Splitting Networks for Image Restoration Raied Aljadaany Dipan K. Pal Marios Savvides SupR 11 8 0 17 Mar 2019
Asymptotics of MAP Inference in Deep Networks Parthe Pandit Mojtaba Sahraee S. Rangan A. Fletcher 18 21 0 01 Mar 2019
Algorithmic Aspects of Inverse Problems Using Generative Models C. Hegde GAN 25 21 0 08 Oct 2018
Rate-Adaptive Neural Networks for Spatial Multiplexers Suhas Lohit Rajhans Singh K. Kulkarni P. Turaga 15 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 33 178 0 17 Jun 2018
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising Zhihao Xia Ayan Chakrabarti 16 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 89 206 0 10 Jun 2018