Deep Learning Techniques for Inverse Problems in Imaging

12 May 2020

Greg Ongie

A. Jalal

Christopher A. Metzler

Richard G. Baraniuk

A. Dimakis

Rebecca Willett

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Papers citing "Deep Learning Techniques for Inverse Problems in Imaging"

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Memory-efficient model-based deep learning with convergence and robustness guarantees Aniket Pramanik M. Zimmerman M. Jacob 3DV 116 14 0 06 Jun 2022
Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering Tin Vlašić Hieu Nguyen AmirEhsan Khorashadizadeh Ivan Dokmanić 3DV AI4CE 123 11 0 04 Jun 2022
Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems Andrés Felipe Lerma Pineda P. Petersen 146 6 0 02 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 153 13 0 31 May 2022
Online Deep Equilibrium Learning for Regularization by Denoising Jiaming Liu Xiaojian Xu Weijie Gan Shirin Shoushtari Ulugbek S. Kamilov 147 28 0 25 May 2022
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation Akash S. Doshi Manan Gupta J. Andrews 108 24 0 25 May 2022
$D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion$ D $^\text{2}$ UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion Roman Jacome Jorge Bacca Henry Arguello 96 2 0 24 May 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 139 29 0 24 May 2022
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola 100 1 0 24 Apr 2022
Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoising A. Gkillas D. Ampeliotis K. Berberidis 132 19 0 29 Mar 2022
Generative Principal Component Analysis Zhaoqiang Liu Jiulong Liu Subhro Ghosh Jun Han Jonathan Scarlett 122 16 0 18 Mar 2022
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction Zalan Fabian Berk Tinaz Mahdi Soltanolkotabi 121 55 0 15 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 117 3 0 09 Mar 2022
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging Samuel Pinilla Kumar Vijay Mishra I. Shevkunov M. Soltanalian V. Katkovnik K. Egiazarian 91 17 0 03 Mar 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 145 9 0 02 Mar 2022
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior Javier Antorán Riccardo Barbano Johannes Leuschner José Miguel Hernández-Lobato Bangti Jin UQCV 160 10 0 28 Feb 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 174 26 0 28 Feb 2022
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems Deep Ray Harisankar Ramaswamy Dhruv V. Patel Assad A. Oberai CML AI4CE 107 21 0 15 Feb 2022
Optimal Transport for Super Resolution Applied to Astronomy Imaging Michael Rawson Jakob Hultgren OT 96 0 0 10 Feb 2022
Bregman Plug-and-Play Priors Abdullah H. Al-Shabili Xiaojian Xu I. Selesnick Ulugbek S. Kamilov 105 6 0 04 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 670 952 0 27 Jan 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat Fahad Shahbaz Khan Huazhu Fu ViT LM&MA MedIm 226 819 0 24 Jan 2022
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data Anish Lahiri M. Klasky Jeffrey A. Fessler S. Ravishankar 85 29 0 23 Jan 2022
A Trained Regularization Approach Based on Born Iterative Method for Electromagnetic Imaging A. Desmal 45 9 0 26 Dec 2021
Solving Inverse Problems with NerfGANs Giannis Daras Wenqing Chu Abhishek Kumar Dmitry Lagun A. Dimakis 3DV 114 6 0 16 Dec 2021
Early Stopping for Deep Image Prior Hengkang Wang Taihui Li Zhong Zhuang Tiancong Chen Hengyue Liang Ju Sun 227 70 0 11 Dec 2021
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 162 2 0 07 Dec 2021
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 215 299 0 05 Dec 2021
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing Nikola Janjušević Amirhossein Khalilian-Gourtani Yao Wang 169 15 0 02 Dec 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 109 19 0 25 Nov 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 158 23 0 23 Nov 2021
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI Zhishen Huang S. Ravishankar MedIm 138 11 0 17 Nov 2021
Resampling and super-resolution of hexagonally sampled images using deep learning Dylan Flaute R. Hardie Hamed Elwarfalli SupR 109 1 0 03 Nov 2021
Uncertainty quantification for ptychography using normalizing flows Agnimitra Dasgupta Z. Di AI4CE 91 5 0 01 Nov 2021
Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction Lucilio Cordero-Grande Juan Enrique Ortuño Fisac A. Uus Maria Deprez Andrés Santos Joseph V. Hajnal María J. Ledesma-Carbayo 3DH MedIm 48 0 0 29 Oct 2021
Hyperparameter Tuning is All You Need for LISTA Xiaohan Chen Jialin Liu Zhangyang Wang W. Yin ODL 100 26 0 29 Oct 2021
Learning to Estimate Without Bias Niv Nayman Rong Jin Lihi Zelnik-Manor 95 14 0 24 Oct 2021
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors Taihui Li Yen-Jung Chang Hengyue Liang L. Peng Meiping Huang Ju Sun 108 21 0 23 Oct 2021
Conditional Variational Autoencoder for Learned Image Reconstruction Chen Zhang Riccardo Barbano Bangti Jin DRL 83 23 0 22 Oct 2021
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover Wei Pu Chao Zhou Yonina C. Eldar M. Rodrigues OOD 92 1 0 20 Oct 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations Sriram Ravula Georgios Smyrnis Matt Jordan A. Dimakis SSL 226 9 0 14 Oct 2021
Deep Bayesian inference for seismic imaging with tasks Ali Siahkoohi G. Rizzuti Felix J. Herrmann BDL UQCV 185 23 0 10 Oct 2021
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint Paul Hagemann J. Hertrich Gabriele Steidl BDL 200 43 0 23 Sep 2021
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision J. Suo Weihang Zhang Jin Gong Xin Yuan D. Brady Qionghai Dai 151 32 0 18 Sep 2021
Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE) Sutanu Bhowmick Satish Nagarajaiah 80 8 0 14 Sep 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology Rahul Ghosh Arvind Renganathan Kshitij Tayal Xiang Li A. Khandelwal X. Jia C. Duffy J. Neiber Vipin Kumar 134 24 0 14 Sep 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 75 0 0 21 Aug 2021
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors Zhaoqiang Liu Subhro Ghosh J. Han Jonathan Scarlett 89 8 0 08 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 182 372 0 03 Aug 2021
Dynamic Proximal Unrolling Network for Compressive Imaging Yixiao Yang R. Tao Kaixuan Wei Ying Fu 136 11 0 23 Jul 2021