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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Title
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion Nicolas Zilberstein A. Sabharwal Santiago Segarra DiffM 191 10 0 08 May 2023
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL Aniket Pramanik Sampada Bhave S. Sajib Samir D. Sharma M. Jacob AI4CE OOD 55 3 0 21 Apr 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 110 4 0 17 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 92 1 0 14 Apr 2023
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources A. Babu Tekin Bicer S. Kandel Tao Zhou Daniel J. Ching S. Henke Sinivsa Veseli Ryan Chard Antonino Miceli Mathew J. Cherukara 70 8 0 09 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement Ben Fei Zhaoyang Lyu Liang Pan Junzhe Zhang Weidong Yang Tian-jian Luo Bo Zhang Bo Dai DiffM 199 221 0 03 Apr 2023
DRIP: Deep Regularizers for Inverse Problems Moshe Eliasof E. Haber Eran Treister 129 8 0 30 Mar 2023
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction Marco Nittscher Michael Lameter Riccardo Barbano Johannes Leuschner Bangti Jin Peter Maass 171 4 0 28 Mar 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems Giovanni S. Alberti J. Hertrich Matteo Santacesaria Silvia Sciutto DRL 163 10 0 27 Mar 2023
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency Zalan Fabian Berk Tınaz Mahdi Soltanolkotabi DiffM 81 11 0 25 Mar 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration M. Delbracio P. Milanfar DiffM 285 143 0 20 Mar 2023
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior Nathan Buskulic Yvain Quéau M. Fadili BDL 101 2 0 20 Mar 2023
Neural-prior stochastic block model O. Duranthon L. Zdeborová 174 4 0 17 Mar 2023
SUD $^2$ : Supervision by Denoising Diffusion Models for Image Reconstruction Matthew A. Chan Sean I. Young Christopher A. Metzler DiffM 95 5 0 16 Mar 2023
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI Tamir Shor Tomer Weiss Dor Noti A. Bronstein MedIm 81 1 0 13 Mar 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification Rafael Orozco M. Louboutin Ali Siahkoohi G. Rizzuti Tristan van Leeuwen Felix J. Herrmann OOD 95 13 0 06 Mar 2023
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics A. Garbuno-Iñigo T. Helin Franca Hoffmann Bamdad Hosseini 149 10 0 02 Mar 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 102 9 0 08 Jan 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 150 7 0 08 Dec 2022
Application of machine learning regression models to inverse eigenvalue problems Nikolaos Pallikarakis Andreas Ntargaras 67 12 0 08 Dec 2022
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 94 2 0 30 Nov 2022
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study Xu Zhan Xiaoling Zhang Wensi Zhang Jun Shi Shunjun Wei Tianjiao Zeng 81 1 0 28 Nov 2022
Generative Joint Source-Channel Coding for Semantic Image Transmission Ece Naz Erdemir Tze-Yang Tung Pier Luigi Dragotti Deniz Gunduz GAN 130 110 0 24 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 173 33 0 22 Nov 2022
Differentiable Uncalibrated Imaging Sidharth Gupta K. Kothari Valentin Debarnot Ivan Dokmanić MedIm 153 4 0 18 Nov 2022
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images Theophil Trippe Martin Genzel Jan Macdonald M. März 134 1 0 18 Nov 2022
Learning 4DVAR inversion directly from observations Arthur Filoche J. Brajard A. Charantonis Dominique Béréziat 84 3 0 17 Nov 2022
Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model Jun-Hao Hu Shirin Shoushtari Zihao Zou Jiaming Liu Zhixin Sun Ulugbek S. Kamilov 156 5 0 01 Nov 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 124 6 0 25 Oct 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 127 6 0 11 Oct 2022
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver Peimeng Guan Jihui Jin Justin Romberg Mark A. Davenport 118 4 0 10 Oct 2022
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees Weijie Gan Chunwei Ying Parna Eshraghi Tongyao Wang C. Eldeniz Yuyang Hu Jiaming Liu Yasheng Chen Hongyu An Ulugbek S. Kamilov 112 4 0 07 Oct 2022
Limitations of neural network training due to numerical instability of backpropagation Clemens Karner V. Kazeev P. Petersen 119 4 0 03 Oct 2022
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach Yuri S. Fonseca Yuri F. Saporito 111 4 0 29 Sep 2022
Learning Variational Models with Unrolling and Bilevel Optimization Christoph Brauer Niklas Breustedt T. Wolff D. Lorenz SSL 176 3 0 26 Sep 2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors Zhaoqiang Liu J. Han 95 8 0 21 Sep 2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning Kevin Zhang Mingyang Xie Maharshi Gor Yi-Ting Chen Yvonne Zhou Christopher A. Metzler AI4CE 93 5 0 18 Sep 2022
Imaging with Equivariant Deep Learning Dongdong Chen Mike Davies Matthias Joachim Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella 154 33 0 05 Sep 2022
Estimating a potential without the agony of the partition function E. Haber Moshe Eliasof L. Tenorio 96 2 0 19 Aug 2022
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise Zhong Zhuang Taihui Li Hengkang Wang Ju Sun 126 22 0 18 Aug 2022
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding Jincheng Dai Ping Zhang K. Niu Sixian Wang Zhongwei Si Xiaoqi Qin 74 85 0 04 Aug 2022
CFARnet: deep learning for target detection with constant false alarm rate Tzvi Diskin Yiftach Beer Uri Okun A. Wiesel 152 14 0 04 Aug 2022
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models Nikos Kostagiolas M. Nicolaou Yannis Panagakis GAN 113 2 0 03 Aug 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors Shirin Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 131 6 0 26 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 167 36 0 29 Jun 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 175 15 0 18 Jun 2022
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning Martin Genzel Ingo Gühring Jan Macdonald M. März 94 27 0 14 Jun 2022
Learning to Detect with Constant False Alarm Rate Tzvi Diskin Uri Okun A. Wiesel 85 8 0 12 Jun 2022
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 123 5 0 10 Jun 2022
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery S. K. Shastri Rizwan Ahmad Christopher A. Metzler Philip Schniter 114 7 0 09 Jun 2022