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Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications

5 May 2016

Papers citing "Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications"

50 / 145 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
RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation Taiqin Chen Zikun Zhou Zheng Fang W. Zou Kanjun Liu Ke Chen Yongbing Zhang Yaowei Wang 17 0 0 10 Jun 2025
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Haoxuan Chen Yinuo Ren Martin Renqiang Min Lexing Ying Zachary Izzo DiffM MedIm 77 2 0 04 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
Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling Naïl Khelifa Ferdia Sherry Carola-Bibiane Schönlieb 69 0 0 07 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 141 5 0 21 Feb 2025
Learning Point Spread Function Invertibility Assessment for Image Deconvolution Romario Gualdrón-Hurtado Roman Jacome Sergio Urrea Henry Arguello Luis Gonzalez 181 0 0 28 Jan 2025
A Generalization Result for Convergence in Learning-to-Optimize Michael Sucker Peter Ochs 89 0 0 10 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 80 5 0 06 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 99 17 0 03 Oct 2024
Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling Nebiyou Yismaw Ulugbek S. Kamilov M. Salman Asif DiffM 85 0 0 13 Sep 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 123 2 0 23 Aug 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
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models Hengkang Wang Xu Zhang Taihui Li Yuxiang Wan Tiancong Chen Ju Sun DiffM 133 17 0 27 May 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
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model Zhenghao Pan Haijin Zeng Jingyun Liang Kai Zhang Yongyong Chen 87 6 0 19 Nov 2023
Convergent ADMM Plug and Play PET Image Reconstruction F. Sureau Mahdi Latreche Marion Savanier C. Comtat 3DV 23 3 0 06 Oct 2023
Training-free Linear Image Inverses via Flows Ashwini Pokle Matthew Muckley Ricky T. Q. Chen Brian Karrer 104 24 0 25 Sep 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
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal Lanqing Guo Chong Wang Wenhan Yang Siyu Huang Yufei Wang Hanspeter Pfister Bihan Wen DiffM 111 98 0 09 Dec 2022
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising Zeqiang Lai Ying Fu 70 0 0 27 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 95 27 0 22 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 134 54 0 20 Nov 2022
Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging Yubo Dong Dahua Gao Tian Qiu Yu-yang Li Minxi Yang Guangming Shi 102 29 0 13 Nov 2022
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping Jinwei Zhang P. Spincemaille Hang Zhang Thanh D. Nguyen Chao Li Jiahao Nick Li I. Kovanlikaya M. Sabuncu Yi Wang 70 11 0 01 Nov 2022
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels Charles Laroche Andrés Almansa Eva Coupeté Matias Tassano 74 2 0 19 Oct 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 122 864 0 29 Sep 2022
Video Restoration with a Deep Plug-and-Play Prior Antoine Monod J. Delon Matias Tassano Andrés Almansa 99 1 0 06 Sep 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
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration Chong Wang Rongkai Zhang S. Ravishankar Bihan Wen 62 4 0 25 Jul 2022
Learning Sparsity-Promoting Regularizers using Bilevel Optimization Avrajit Ghosh Michael T. McCann Madeline Mitchell S. Ravishankar 71 5 0 18 Jul 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 100 35 0 14 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 110 32 0 29 Jun 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 99 6 0 16 Jun 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
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging Yuanhao Cai Jing Lin Haoqian Wang Xin Yuan Henghui Ding Yulun Zhang Radu Timofte Luc Van Gool 162 124 0 20 May 2022
JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging Brayan Monroy Jorge Bacca Henry Arguello SupR 63 11 0 16 May 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 96 131 0 05 May 2022
Deep Generalized Unfolding Networks for Image Restoration Chong Mou Qian Wang Jian Zhang 109 196 0 28 Apr 2022
Learning Weighting Map for Bit-Depth Expansion within a Rational Range Yuqing Liu Qi Jia Jian Zhang Xin Fan Shanshe Wang Siwei Ma Wen Gao 38 1 0 26 Apr 2022
Alternative design of DeepPDNet in the context of image restoration Mingyuan Jiu N. Pustelnik 67 2 0 20 Feb 2022
APPLADE: Adjustable Plug-and-play Audio Declipper Combining DNN with Sparse Optimization Tomoro Tanaka Kohei Yatabe Masahiro Yasuda Yasuhiro Oikawa 57 8 0 16 Feb 2022
Monotonically Convergent Regularization by Denoising Yuyang Hu Jiaming Liu Xiaojian Xu Ulugbek S. Kamilov 68 8 0 10 Feb 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization Samuel Hurault Arthur Leclaire Nicolas Papadakis 140 77 0 31 Jan 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 51 15 0 20 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