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
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping Xiaojian Xu Weijie Gan Satya V. V. N. Kothapalli D. Yablonskiy Ulugbek S. Kamilov MedIm 61 5 0 21 Feb 2025
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration Di You P. Dragotti DiffM 29 1 0 23 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 33 0 0 08 Jan 2025
Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance Kin Man Lee Sean Ye Qingyu Xiao Zixuan Wu Z. Zaidi David B. DÁmbrosio Pannag R. Sanketi Matthew Gombolay 65 0 0 23 Sep 2024
Learning Regularization for Graph Inverse Problems Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber GNN 19 0 0 19 Aug 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 55 6 0 29 May 2024
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems Hossein Askari Fred Roosta Hongfu Sun MedIm DiffM 25 3 0 04 Apr 2024
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning Hao Liu Biraj Dahal Rongjie Lai Wenjing Liao AI4CE 8 4 0 19 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 20 4 0 18 Jan 2024
Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imaging Irfan Manisali Okyanus Oral F. Oktem 12 5 0 28 Dec 2023
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 11 5 0 27 Dec 2023
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 6 1 0 19 Dec 2023
Tell Me What You See: Text-Guided Real-World Image Denoising E. Yosef Raja Giryes DiffM 31 2 0 15 Dec 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 17 11 0 22 Oct 2023
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models Marien Renaud Jiaming Liu Valentin De Bortoli Andrés Almansa Ulugbek S. Kamilov 14 5 0 05 Oct 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 10 1 0 28 Aug 2023
Generative adversarial networks with physical sound field priors X. Karakonstantis Efren Fernandez-Grande GAN 12 11 0 01 Aug 2023
Accelerated, physics-inspired inference of skeletal muscle microstructure from diffusion-weighted MRI Noel M. Naughton Stacey Cahoon Bradley P. Sutton J. Georgiadis DiffM MedIm 14 1 0 19 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 25 27 0 29 May 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 8 3 0 12 May 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 9 2 0 14 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-Wen Zhang Bo Dai DiffM 11 176 0 03 Apr 2023
Neural-prior stochastic block model O. Duranthon L. Zdeborová 14 3 0 17 Mar 2023
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 6 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 28 1 0 28 Nov 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 13 4 0 25 Oct 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 11 6 0 26 Jul 2022
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 6 4 0 10 Jun 2022
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola 13 1 0 24 Apr 2022
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction Zalan Fabian Berk Tinaz Mahdi Soltanolkotabi 17 50 0 15 Mar 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 11 25 0 28 Feb 2022
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 21 19 0 23 Nov 2021
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 66 207 0 10 Jun 2018
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 168 1,157 0 04 May 2018