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 / 54 papers shown

Title
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems Deliang Wei Peng Chen Haobo Xu Jiale Yao Fang Li Tieyong Zeng 19 0 0 13 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 76 5 0 21 Feb 2025
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Shuo Li Mehrdad Yaghoobi 53 0 0 14 Jan 2025
Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems Jason Hu Bowen Song Jeffrey A. Fessler Liyue Shen DiffM 23 3 0 15 Oct 2024
Physics and Deep Learning in Computational Wave Imaging Youzuo Lin Shihang Feng J. Theiler Yinpeng Chen Umberto Villa Jing Rao John Greenhall Cristian Pantea M. Anastasio B. Wohlberg 34 0 0 10 Oct 2024
A Generalization Result for Convergence in Learning-to-Optimize Michael Sucker Peter Ochs 28 0 0 10 Oct 2024
A Survey on Diffusion Models for Inverse Problems Giannis Daras Hyungjin Chung Chieh-Hsin Lai Yuki Mitsufuji Jong Chul Ye P. Milanfar Alexandros G. Dimakis M. Delbracio MedIm 46 36 0 30 Sep 2024
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning P. Milanfar M. Delbracio AI4CE 67 9 0 10 Sep 2024
Learning Firmly Nonexpansive Operators Kristian Bredies Jonathan Chirinos-Rodriguez E. Naldi 33 0 0 19 Jul 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 61 0 0 18 Jul 2024
Plug-and-Play Algorithm Convergence Analysis From The Standpoint of Stochastic Differential Equation Zhongqi Wang Bingnan Wang Maosheng Xiang 29 0 0 22 Apr 2024
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training Edward P. Chandler Shirin Shoushtari Jiaming Liu M. Salman Asif Ulugbek S. Kamilov OOD 34 1 0 15 Mar 2024
Learning pseudo-contractive denoisers for inverse problems Deliang Wei Peng Chen Fang Li 27 4 0 08 Feb 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization Marien Renaud Jean Prost Arthur Leclaire Nicolas Papadakis DiffM 52 7 0 01 Feb 2024
Low-resolution Prior Equilibrium Network for CT Reconstruction Yijie Yang Qifeng Gao Yuping Duan 32 0 0 28 Jan 2024
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers Chicago Y. Park Shirin Shoushtari Weijie Gan Ulugbek S. Kamilov 13 0 0 30 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation Koren Abitbul Yehuda Dar TDI 28 2 0 04 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 25 11 0 22 May 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 24 3 0 12 May 2023
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 35 12 0 28 Oct 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors Shirin Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 26 6 0 26 Jul 2022
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms Yujia Xue Siming Zheng Waleed Tahir Zhengjue Wang Hao Zhang Ziyi Meng Lei Tian Xin Yuan 19 4 0 07 May 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 37 16 0 13 Apr 2022
Deep Equilibrium Models for Video Snapshot Compressive Imaging Yaping Zhao Siming Zheng Xin Yuan 53 19 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 25 25 0 16 Jan 2022
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 33 93 0 07 Oct 2021
Wasserstein Patch Prior for Image Superresolution J. Hertrich Antoine Houdard C. Redenbach SupR MDE 26 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 23 12 0 12 Jul 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling Masatoshi Nagahama Koki Yamada Yuichi Tanaka Stanley H. Chan Yonina C. Eldar 24 18 0 30 Jun 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms Pravin Nair Ruturaj G. Gavaskar K. Chaudhury 46 37 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 40 225 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 24 109 0 08 Mar 2021
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms J. Hertrich Sebastian Neumayer Gabriele Steidl 16 57 0 04 Nov 2020
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors Min Zhao Tiande Gao Jie Chen Wei Chen 8 2 0 09 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 37 15 0 03 Oct 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 21 103 0 22 Feb 2020
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 17 21 0 01 Nov 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 19 81 0 26 Jul 2019
A Projectional Ansatz to Reconstruction Sören Dittmer Peter Maass 17 3 0 10 Jul 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zhangyang Wang W. Yin AI4CE 22 347 0 14 May 2019
Block Coordinate Regularization by Denoising Yu Sun Jiaming Liu Ulugbek S. Kamilov 30 82 0 13 May 2019
Deep Plug-and-play Prior for Low-rank Tensor Completion Xile Zhao Wen-Hao Xu Tai-Xiang Jiang Yao Wang Michael K. Ng 26 91 0 11 May 2019
Integrating neural networks into the blind deblurring framework to compete with the end-to-end learning-based methods Junde Wu Xiaoguang Di Jiehao Huang Yu Zhang 23 0 0 07 Mar 2019
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration V. S. Unni Sanjay Ghosh K. Chaudhury 14 16 0 18 Jan 2019
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm Yu Sun Shiqi Xu Yunzhe Li Lei Tian B. Wohlberg Ulugbek S. Kamilov 22 44 0 31 Oct 2018
Regularization by Denoising: Clarifications and New Interpretations E. T. Reehorst Philip Schniter 56 214 0 06 Jun 2018
Acceleration of RED via Vector Extrapolation Tao Hong Yaniv Romano Michael Elad 16 16 0 06 May 2018
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction Harshit Gupta Kyong Hwan Jin H. Nguyen Michael T. McCann M. Unser 3DV 35 361 0 06 Sep 2017
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium G. Buzzard Stanley H. Chan S. Sreehari Charles A. Bouman 18 183 0 24 May 2017