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
Double Blind Imaging with Generative Modeling Brett Levac A. Jalal Kannan Ramchandran Jonathan I. Tamir DiffM MedIm 111 0 0 27 Mar 2025
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 113 5 0 21 Feb 2025
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration Di You Pier Luigi Dragotti DiffM 76 2 0 23 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 90 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 106 2 0 23 Sep 2024
Learning Regularization for Graph Inverse Problems Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber GNN 108 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 103 9 0 29 May 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 88 0 0 05 Mar 2024
Tell Me What You See: Text-Guided Real-World Image Denoising E. Yosef Raja Giryes DiffM 79 2 0 15 Dec 2023
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models Marien Renaud Jiaming Liu Valentin De Bortoli Andrés Almansa Ulugbek S. Kamilov 53 5 0 05 Oct 2023
Deep S $^3$ PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models Christopher A. Metzler Gordon Wetzstein 38 11 0 14 Feb 2020
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer AAML 33 43 0 16 Dec 2019
Lower Bounds for Compressed Sensing with Generative Models Akshay Kamath Sushrut Karmalkar Eric Price GAN 45 19 0 06 Dec 2019
Exact asymptotics for phase retrieval and compressed sensing with random generative priors Benjamin Aubin Bruno Loureiro Antoine Baker Florent Krzakala Lenka Zdeborová 45 36 0 04 Dec 2019
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models Giannis Daras Augustus Odena Han Zhang A. Dimakis 52 56 0 27 Nov 2019
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 54 83 0 31 Oct 2019
Handheld Mobile Photography in Very Low Light O. Liba K. Murthy Yun-Ta Tsai Tim Brooks Tianfan Xue ... Dillon Sharlet Ryan Geiss Samuel W. Hasinoff Yael Pritch M. Levoy 99 112 0 24 Oct 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu Xiaohan Wei Zhuoran Yang 55 25 0 14 Aug 2019
Deep Optics for Single-shot High-dynamic-range Imaging Christopher A. Metzler H. Ikoma Yifan Peng Gordon Wetzstein 39 156 0 01 Aug 2019
Learning to Synthesize: Robust Phase Retrieval at Low Photon counts Mo Deng Shuai Li A. Goy Iksung Kang George Barbastathis 109 69 0 26 Jul 2019
Surfing: Iterative optimization over incrementally trained deep networks Ganlin Song Z. Fan John D. Lafferty 32 20 0 19 Jul 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari Volkan Cevher GAN 47 43 0 07 Jul 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap Chinmay Hegde 51 73 0 20 Jun 2019
Inverting Deep Generative models, One layer at a time Qi Lei A. Jalal Inderjit S. Dhillon A. Dimakis 23 49 0 18 Jun 2019
Global Guarantees for Blind Demodulation with Generative Priors Paul Hand Babhru Joshi 82 33 0 29 May 2019
Deep Optics for Monocular Depth Estimation and 3D Object Detection Julie Chang Gordon Wetzstein MDE 3DPC 58 192 0 18 Apr 2019
Data-Driven Design for Fourier Ptychographic Microscopy Michael R. Kellman E. Bostan Michael Chen Laura Waller 28 62 0 08 Apr 2019
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction Florian Knoll Kerstin Hammernik Chi Zhang S. Moeller Thomas Pock D. Sodickson Mehmet Akçakaya OOD 55 264 0 01 Apr 2019
Unsupervised Medical Image Translation Using Cycle-MedGAN Karim Armanious Chenming Jiang Sherif Abdulatif Thomas Kustner S. Gatidis Bin Yang MedIm 79 113 0 08 Mar 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 45 601 0 14 Feb 2019
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations Siyu Dai Shawn Schaffert Andreas G. Hofmann 99 359 0 05 Nov 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 67 284 0 02 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 226 5,363 0 28 Sep 2018
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging Michael R. Kellman E. Bostan N. Repina Laura Waller 84 125 0 10 Aug 2018
Phase Retrieval Under a Generative Prior Paul Hand Oscar Leong V. Voroninski 43 189 0 11 Jul 2018
Modeling Sparse Deviations for Compressed Sensing using Generative Models Manik Dhar Aditya Grover Stefano Ermon 36 79 0 04 Jul 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 50 181 0 17 Jun 2018
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 91 207 0 10 Jun 2018
Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior Magauiya Zhussip Shakarim Soltanayev S. Chun 38 58 0 04 Jun 2018
Neural Proximal Gradient Descent for Compressive Imaging Morteza Mardani Qingyun Sun Shreyas S. Vasawanala Vardan Papyan Hatef Monajemi John M. Pauly D. Donoho 58 155 0 01 Jun 2018
Unsupervised Learning with Stein's Unbiased Risk Estimator Christopher A. Metzler Ali Mousavi Reinhard Heckel Richard G. Baraniuk OOD 51 106 0 26 May 2018
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer GAN 45 37 0 18 May 2018
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing Deniz Engin Anil Genç H. K. Ekenel 49 454 0 14 May 2018
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 274 1,176 0 04 May 2018
Efficient and accurate inversion of multiple scattering with deep learning Yu Sun Zhihao Xia Ulugbek S. Kamilov 46 126 0 18 Mar 2018
Correction by Projection: Denoising Images with Generative Adversarial Networks Subarna Tripathi Zachary Chase Lipton Truong Thao Nguyen 42 53 0 12 Mar 2018
Noise2Noise: Learning Image Restoration without Clean Data J. Lehtinen Jacob Munkberg J. Hasselgren S. Laine Tero Karras M. Aittala Timo Aila 67 1,591 0 12 Mar 2018
Training Deep Learning Based Denoisers without Ground Truth Data Shakarim Soltanayev S. Chun 45 122 0 04 Mar 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network Christopher A. Metzler Philip Schniter Ashok Veeraraghavan Richard G. Baraniuk OOD 67 169 0 01 Mar 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees Viraj Shah Chinmay Hegde GAN 89 165 0 23 Feb 2018