prDeep: Robust Phase Retrieval with a Flexible Deep Network

1 March 2018

Christopher A. Metzler

Philip Schniter

Ashok Veeraraghavan

Richard G. Baraniuk

OOD

ArXiv PDF HTML

Papers citing "prDeep: Robust Phase Retrieval with a Flexible Deep Network"

50 / 65 papers shown

Title
RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging Berk Iskender Sushan Nakarmi Nitin Daphalapurkar M. Klasky Y. Bresler 36 0 0 13 Mar 2025
DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models Mehmet Onurcan Kaya Figen S. Oktem DiffM 23 0 0 06 Jan 2025
$Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers$ Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers Sung Yun Lee Do Hyung Cho Chulho Jung Daeho Sung Daewoong Nam Sangsoo Kim Changyong Song 16 0 0 24 Sep 2024
Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models Gabriel della Maggiora L. Croquevielle Harry Horsley Thomas Heinis Artur Yakimovich MedIm 21 1 0 06 Jun 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu Yu Sun Yifan Chen Bingliang Zhang Yisong Yue Katherine L. Bouman DiffM 16 18 0 29 May 2024
What is Wrong with End-to-End Learning for Phase Retrieval? Wenjie Zhang Yuxiang Wan Zhuang Zhong Ju Sun 27 0 0 18 Mar 2024
LoDIP: Low light phase retrieval with deep image prior Raunak Manekar Elisa Negrini Minh Pham Daniel Jacobs Jaideep Srivastava 13 0 0 27 Feb 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization Marien Renaud Jean Prost Arthur Leclaire Nicolas Papadakis DiffM 44 6 0 01 Feb 2024
Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation Gao Huang Song Li Hang Xu 14 0 0 11 Dec 2023
Coordinate-based Neural Network for Fourier Phase Retrieval Tingyou Li Zixin Xu Yong S. Chu Xiaojing Huang Jizhou Li 20 0 0 25 Nov 2023
Single-shot Phase Retrieval from a Fractional Fourier Transform Perspective Yixiao Yang Ran Tao Kaixuan Wei Jun Shi 14 0 0 18 Nov 2023
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models Marien Renaud Jiaming Liu Valentin De Bortoli Andrés Almansa Ulugbek S. Kamilov 18 5 0 05 Oct 2023
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis S. Shoushtari Jiaming Liu Edward P. Chandler M. Salman Asif Ulugbek S. Kamilov 19 3 0 29 Sep 2023
SimPINNs: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems C. Bolchini Luca Cassano M. Fadili PINN 18 0 0 27 Sep 2023
$PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval$ PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval Aoxu Liu Xiaohong Fan Yin Yang Jianping Zhang 11 2 0 08 Sep 2023
On the use of deep learning for phase recovery Kaiqiang Wang Li Song Chutian Wang Zhenbo Ren Guangyuan Zhao ... Jianglei Di George Barbastathis Renjie Zhou Jianlin Zhao E. Lam 11 66 0 02 Aug 2023
Untrained neural network embedded Fourier phase retrieval from few measurements Liyuan Ma Hongxia Wang N.-Y. Leng Ziyang Yuan 12 0 0 16 Jul 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan S. Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 13 11 0 22 May 2023
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging Berk Iskender M. Klasky Y. Bresler 17 3 0 07 Apr 2023
Complex-valued Retrievals From Noisy Images Using Diffusion Models Nadav Torem Roi Ronen Y. Schechner Michael Elad DiffM 8 3 0 06 Dec 2022
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction Jiaming Liu Rushil Anirudh Jayaraman J. Thiagarajan Stewart He K. A. Mohan Ulugbek S. Kamilov Hyojin Kim MedIm DiffM 17 55 0 22 Nov 2022
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval Rohun Agrawal Oscar Leong 20 0 0 02 Nov 2022
Practical Phase Retrieval Using Double Deep Image Priors Zhong Zhuang David Yang F. Hofmann David A. Barmherzig Ju Sun 23 13 0 02 Nov 2022
DOLPH: Diffusion Models for Phase Retrieval S. Shoushtari Jai-Ming Liu Ulugbek S. Kamilov DiffM 14 9 0 01 Nov 2022
Towards Practical Single-shot Phase Retrieval with Physics-Driven Deep Neural Network Qiuliang Ye Li-Wen Wang D. Lun 19 1 0 18 Aug 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 16 6 0 26 Jul 2022
Optimizing Intermediate Representations of Generative Models for Phase Retrieval Tobias Uelwer S. Konietzny Stefan Harmeling 9 1 0 31 May 2022
Online Deep Equilibrium Learning for Regularization by Denoising Jiaming Liu Xiaojian Xu Weijie Gan S. Shoushtari Ulugbek S. Kamilov 18 26 0 25 May 2022
PR-DAD: Phase Retrieval Using Deep Auto-Decoders Leonid Gugel S. Dekel 8 0 0 18 Apr 2022
Deep Iterative Phase Retrieval for Ptychography Simon Welker Tal Peer H. Chapman Timo Gerkmann 14 6 0 17 Feb 2022
Monotonically Convergent Regularization by Denoising Yuyang Hu Jiaming Liu Xiaojian Xu Ulugbek S. Kamilov 16 8 0 10 Feb 2022
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions Juncheng Dong Simiao Ren Yang Deng Omar Khatib Jordan M. Malof Mohammadreza Soltani Willie J. Padilla Vahid Tarokh 17 0 0 26 Nov 2021
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 22 91 0 07 Oct 2021
Dynamic Proximal Unrolling Network for Compressive Imaging Yixiao Yang R. Tao Kaixuan Wei Ying Fu 6 7 0 23 Jul 2021
Non-Iterative Phase Retrieval With Cascaded Neural Networks Tobias Uelwer Tobias Hoffmann Stefan Harmeling 6 11 0 18 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 16 38 0 07 Jun 2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees Jiaming Liu Yu Sun Weijie Gan Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov FedML MedIm 10 30 0 22 Jan 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork Chang-Jen Wang Chao-Kai Wen Shang-Ho S. Tsai Shi Jin Geoffrey Ye Li 8 4 0 12 Jan 2021
Unfolded Algorithms for Deep Phase Retrieval Naveed Naimipour Shahin Khobahi M. Soltanalian 15 5 0 21 Dec 2020
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging Hannah Lawrence David A. Barmherzig Henry Li Michael Eickenberg Marylou Gabrié 8 12 0 14 Dec 2020
Model Adaptation for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett OOD MedIm 6 47 0 30 Nov 2020
Joint Reconstruction and Calibration using Regularization by Denoising Mingyang Xie Yu Sun Jiaming Liu B. Wohlberg Ulugbek S. Kamilov 6 10 0 26 Nov 2020
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval Eunju Cha Chanseok Lee Mooseok Jang J. C. Ye 17 15 0 20 Nov 2020
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Hua Huang Carola-Bibiane Schönlieb 6 34 0 18 Nov 2020
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors Yu Sun Jiaming Liu Yiran Sun B. Wohlberg Ulugbek S. Kamilov 15 15 0 03 Oct 2020
Solving Phase Retrieval with a Learned Reference Rakib Hyder Zikui Cai M. Salman Asif 11 24 0 29 Jul 2020
DeepInit Phase Retrieval M. Reiche P. Jung 11 1 0 16 Jul 2020
Generative Patch Priors for Practical Compressive Image Recovery Rushil Anirudh Suhas Lohit P. Turaga GAN 12 4 0 18 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 467 0 12 May 2020
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction Henning Lange Steven L. Brunton N. Kutz AI4TS 6 63 0 01 Apr 2020