Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

23 December 2015

Papers citing "Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation"

50 / 81 papers shown

Title
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Liangyan Li Yimo Ning Kevin Le Wei Dong Yunzhe Li Jun Chen Xiaohong Liu 15 0 0 19 Jun 2025
Plug-and-Play Posterior Sampling for Blind Inverse Problems Anqi Li Weijie Gan Ulugbek S. Kamilov DiffM 26 0 0 28 May 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 141 5 0 21 Feb 2025
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Shuo Li Mehrdad Yaghoobi 137 0 0 14 Jan 2025
A Generalization Result for Convergence in Learning-to-Optimize Michael Sucker Peter Ochs 89 0 0 10 Oct 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 133 0 0 18 Jul 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization Marien Renaud Jean Prost Arthur Leclaire Nicolas Papadakis DiffM 156 8 0 01 Feb 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 84 12 0 22 Oct 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan Shirin Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 89 12 0 22 May 2023
Provably Convergent Plug-and-Play Quasi-Newton Methods Hongwei Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 84 15 0 09 Mar 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 98 82 0 09 Jan 2023
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors Xiuheng Wang Jie Chen C. Richard 48 8 0 28 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 84 13 0 28 Oct 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors Shirin Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 68 6 0 26 Jul 2022
Learned reconstruction methods with convergence guarantees Subhadip Mukherjee A. Hauptmann Ozan Oktem Marcelo Pereyra Carola-Bibiane Schönlieb 87 51 0 11 Jun 2022
Online Deep Equilibrium Learning for Regularization by Denoising Jiaming Liu Xiaojian Xu Weijie Gan Shirin Shoushtari Ulugbek S. Kamilov 112 27 0 25 May 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization Samuel Hurault Arthur Leclaire Nicolas Papadakis 140 77 0 31 Jan 2022
Deep Equilibrium Models for Video Snapshot Compressive Imaging Yaping Zhao Siming Zheng Xin Yuan 143 20 0 18 Jan 2022
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 67 26 0 16 Jan 2022
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 70 97 0 07 Oct 2021
Wasserstein Patch Prior for Image Superresolution J. Hertrich Antoine Houdard C. Redenbach SupR MDE 105 22 0 27 Sep 2021
Deformation-Compensated Learning for Image Reconstruction without Ground Truth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu Hongyu An Ulugbek S. Kamilov 84 14 0 12 Jul 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling Masatoshi Nagahama Koki Yamada Yuichi Tanaka Stanley H. Chan Yonina C. Eldar 62 20 0 30 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 117 43 0 07 Jun 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms Pravin Nair Ruturaj G. Gavaskar K. Chaudhury 94 39 0 21 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 264 237 0 23 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 96 112 0 08 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 92 31 0 02 Mar 2021
Plug-and-Play gradient-based denoisers applied to CT image enhancement Pasquale Cascarano E. L. Piccolomini E. Morotti Andrea Sebastiani 24 0 0 15 Feb 2021
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term Einav Yogev-Ofer Tom Tirer Raja Giryes 63 3 0 27 Jan 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 89 31 0 22 Jan 2021
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging Xin Yuan Yang Liu J. Suo F. Durand Qionghai Dai 93 79 0 13 Jan 2021
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 74 35 0 18 Nov 2020
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms J. Hertrich Sebastian Neumayer Gabriele Steidl 77 60 0 04 Nov 2020
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors Min Zhao Tiande Gao Jie Chen Wei Chen 44 2 0 09 Oct 2020
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding Veronica Corona Yehuda Dar Guy B. Williams Carola-Bibiane Schönlieb MedIm 44 0 0 08 Oct 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 78 15 0 03 Oct 2020
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium Student Member Ieee Muhammad Usman Ghani F. I. W. Clem Karl 135 17 0 31 Aug 2020
Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction Soumendu Majee Thilo Balke C. A. Kemp G. Buzzard Charles A. Bouman 30 22 0 01 Aug 2020
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 58 3 0 16 Jun 2020
Scalable Plug-and-Play ADMM with Convergence Guarantees Yu Sun Zihui Wu Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov BDL 98 76 0 05 Jun 2020
Plug-and-play ISTA converges with kernel denoisers Ruturaj G. Gavaskar K. Chaudhury 77 33 0 07 Apr 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Carola-Bibiane Schönlieb Hua Huang 80 105 0 22 Feb 2020
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms S. A. Hosseini Burhaneddin Yaman S. Moeller Mingyi Hong Mehmet Akçakaya AI4CE 65 8 0 16 Dec 2019
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 65 23 0 01 Nov 2019
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM Ruturaj G. Gavaskar K. Chaudhury 83 13 0 31 Oct 2019
Investigating Customization Strategies and Convergence Behaviors of Task-specific ADMM Risheng Liu Pan Mu Jin Zhang 50 6 0 24 Sep 2019
Online Regularization by Denoising with Applications to Phase Retrieval Zihui Wu Yu Sun Jiaming Liu Ulugbek S. Kamilov 46 34 0 04 Sep 2019
Deep Plug-and-Play Prior for Parallel MRI Reconstruction A. Yazdanpanah O. Afacan Simon K. Warfield 63 21 0 30 Aug 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 116 82 0 26 Jul 2019