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 Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures Peimeng Guan Naveed Iqbal Mark A. Davenport Mudassir Masood 120 3 0 07 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 236 6 0 05 Mar 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning Keying Kuang Frances Dean Jack B. Jedlicki David Ouyang Anthony Philippakis David Sontag Ahmed M. Alaa SyDa PINN 126 4 0 29 Feb 2024
LoDIP: Low light phase retrieval with deep image prior Raunak Manekar Elisa Negrini Minh Pham Daniel Jacobs Jaideep Srivastava 120 0 0 27 Feb 2024
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise Xi Chen Zhewen Hou Christopher A. Metzler A. Maleki S. Jalali 123 6 0 23 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 119 1 0 19 Feb 2024
An Over Complete Deep Learning Method for Inverse Problems Moshe Eliasof Eldad Haber Eran Treister 105 3 0 07 Feb 2024
Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation Linghai Liu Shuaicheng Tong Lisa Zhao 104 1 0 03 Feb 2024
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning Hao Liu Biraj Dahal Rongjie Lai Wenjing Liao AI4CE 90 7 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 134 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 82 7 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 128 8 0 27 Dec 2023
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging Okyanus Oral F. Oktem 88 3 0 26 Dec 2023
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 82 2 0 19 Dec 2023
Tell Me What You See: Text-Guided Real-World Image Denoising E. Yosef Raja Giryes DiffM 270 2 0 15 Dec 2023
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining Ruoxi Shi Xinyue Wei Cheng Wang Hao Su 109 24 0 14 Dec 2023
Local monotone operator learning using non-monotone operators: MnM-MOL Maneesh John Jyothi Rikabh Chand Mathews Jacob 89 2 0 01 Dec 2023
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations Zhenda Shen Yanqi Cheng Raymond H. Chan Pietro Lio Carola-Bibiane Schönlieb Angelica I Aviles-Rivero 80 3 0 21 Nov 2023
Looped Transformers are Better at Learning Learning Algorithms Liu Yang Kangwook Lee Robert D. Nowak Dimitris Papailiopoulos 186 40 0 21 Nov 2023
A statistical perspective on algorithm unrolling models for inverse problems Yves Atchadé Xinru Liu Qiuyun Zhu 76 0 0 10 Nov 2023
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning Chicago Y. Park Weijie Gan Zihao Zou Yuyang Hu Zhixin Sun Ulugbek S. Kamilov 110 1 0 03 Nov 2023
A Scalable Training Strategy for Blind Multi-Distribution Noise Removal Kevin Zhang Sakshum Kulshrestha Christopher A. Metzler OOD 87 1 0 30 Oct 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 163 18 0 22 Oct 2023
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems Julian Tachella Marcelo Pereyra UQCV 102 9 0 18 Oct 2023
Learning of Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations Théo Archambault Arthur Filoche A. Charantonis Dominique Béréziat Sylvie Thiria 136 10 0 11 Oct 2023
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction Weijie Gan Qiuchen Zhai Michael T. McCann Cristina Garcia-Cardona Ulugbek S. Kamilov B. Wohlberg 112 11 0 11 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 214 5 0 05 Oct 2023
Prompt-tuning latent diffusion models for inverse problems Hyungjin Chung Jong Chul Ye P. Milanfar M. Delbracio DiffM 169 53 0 02 Oct 2023
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis Shirin Shoushtari Jiaming Liu Edward P. Chandler M. Salman Asif Ulugbek S. Kamilov 110 6 0 29 Sep 2023
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 119 8 0 25 Sep 2023
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Nathan Buskulic M. Fadili Yvain Quéau 187 5 0 21 Sep 2023
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems George Yiasemis N. Moriakov Jan-Jakob Sonke Jonas Teuwen 96 11 0 18 Sep 2023
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models Zalan Fabian Berk Tınaz Mahdi Soltanolkotabi DiffM 111 7 0 12 Sep 2023
Deep Learning and Inverse Problems A. Mohammad-Djafari Ning Chu Li Wang Lianggeng Yu AI4CE BDL PINN 118 0 0 02 Sep 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 142 1 0 28 Aug 2023
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction Paul Fischer Thomas Kustner Christian F. Baumgartner 116 9 0 04 Aug 2023
Generative adversarial networks with physical sound field priors X. Karakonstantis Efren Fernandez-Grande GAN 92 15 0 01 Aug 2023
Leveraging Variational Autoencoders for Parameterized MMSE Estimation Michael Baur B. Fesl Wolfgang Utschick 93 14 0 11 Jul 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models Litu Rout Negin Raoof Giannis Daras Constantine Caramanis A. Dimakis Sanjay Shakkottai DiffM 159 120 0 02 Jul 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 41 1 0 19 Jun 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions D. Thaker Paris V. Giampouras René Vidal AAML 79 0 0 07 Jun 2023
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling Tin Vlašić Tomislav Matulić D. Seršić MedIm 94 2 0 07 Jun 2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models Sriram Ravula Brett Levac A. Jalal Jonathan I. Tamir A. Dimakis DiffM MedIm 97 17 0 05 Jun 2023
INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems Di You Andreas Floros Pier Luigi Dragotti DiffM 154 5 0 05 Jun 2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions Ben Adcock Juan M. Cardenas N. Dexter 180 6 0 01 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 187 47 0 29 May 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan Shirin Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 141 12 0 22 May 2023
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data Svenja Ehlers Marco Klein Alexander Heinlein Mathies Wedler Nicolas Desmars Norbert Hoffmann M. Stender AI4Cl 130 7 0 18 May 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 115 3 0 12 May 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion Nicolas Zilberstein A. Sabharwal Santiago Segarra DiffM 191 10 0 08 May 2023