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 / 91 papers shown

Title
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
Learning Point Spread Function Invertibility Assessment for Image Deconvolution Romario Gualdrón-Hurtado Roman Jacome Sergio Urrea Henry Arguello Luis Gonzalez 94 0 0 28 Jan 2025
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 29 0 0 06 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 31 2 0 23 Aug 2024
Parseval Convolution Operators and Neural Networks Michael Unser Stanislas Ducotterd 25 3 0 19 Aug 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
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing Bingliang Zhang Wenda Chu Julius Berner Chenlin Meng Anima Anandkumar Yang Song DiffM 41 27 0 01 Jul 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 34 20 0 29 May 2024
Learning pseudo-contractive denoisers for inverse problems Deliang Wei Peng Chen Fang Li 27 4 0 08 Feb 2024
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers Chicago Park Shirin Shoushtari Weijie Gan Ulugbek S. Kamilov 13 0 0 30 Nov 2023
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model Zhenghao Pan Haijin Zeng Jiezhang Cao Kai Zhang Yongyong Chen 13 5 0 19 Nov 2023
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation Koren Abitbul Yehuda Dar TDI 25 2 0 04 Oct 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models Litu Rout Negin Raoof Giannis Daras C. Caramanis A. Dimakis Sanjay Shakkottai DiffM 35 93 0 02 Jul 2023
UDPM: Upsampling Diffusion Probabilistic Models Shady Abu Hussein Raja Giryes DiffM 24 1 0 25 May 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan Shirin Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 20 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
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising Haijin Zeng Jiezhang Cao Kai Feng Shaoguang Huang Hongyan Zhang H. Luong Wilfried Philips ViT 39 6 0 06 May 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference Florentin Coeurdoux N. Dobigeon P. Chainais 27 15 0 21 Apr 2023
RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging Shiyun Zhou Tingfa Xu Shaocong Dong Jianan Li 27 12 0 06 Feb 2023
Mixed Attention Network for Hyperspectral Image Denoising Zeqiang Lai Ying Fu 19 14 0 27 Jan 2023
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising Zeqiang Lai Ying Fu 27 0 0 27 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 16 26 0 22 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 10 52 0 20 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 23 9 0 01 Nov 2022
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels Charles Laroche Andrés Almansa Eva Coupeté Matias Tassano 27 2 0 19 Oct 2022
ISTA-Inspired Network for Image Super-Resolution Yuqing Liu Wei Zhang Weifeng Sun Zhikai Yu Jianfeng Wei S. Li OOD SupR 16 0 0 14 Oct 2022
Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks Jianfei Li Chao Huang Raymond H. F. Chan Han Feng M. Ng T. Zeng 24 4 0 29 Sep 2022
Video Restoration with a Deep Plug-and-Play Prior Antoine Monod J. Delon Matias Tassano Andrés Almansa 27 1 0 06 Sep 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
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration Chong Wang Rongkai Zhang S. Ravishankar B. Wen 22 4 0 25 Jul 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 40 6 0 16 Jun 2022
$D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion$ D $^\text{2}$ UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion Roman Jacome Jorge Bacca Henry Arguello 32 2 0 24 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 80 116 0 20 May 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
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 24 130 0 05 May 2022
Deep Generalized Unfolding Networks for Image Restoration Chong Mou Qian Wang Jian Zhang 34 182 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 20 1 0 26 Apr 2022
Alternative design of DeepPDNet in the context of image restoration Mingyuan Jiu N. Pustelnik 27 2 0 20 Feb 2022
Monotonically Convergent Regularization by Denoising Yuyang Hu Jiaming Liu Xiaojian Xu Ulugbek S. Kamilov 24 8 0 10 Feb 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 27 15 0 20 Jan 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 21 22 0 27 Sep 2021
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal Lina Zhuang Michael Kwok-Po Ng 44 89 0 18 Sep 2021
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging Zhuoyuan Wu Jian Zhang Chong Mou MedIm 40 60 0 14 Sep 2021
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging Hao Liu X. Tai R. Glowinski 20 14 0 04 Aug 2021
Blind Image Super-Resolution: A Survey and Beyond Anran Liu Yihao Liu Jinjin Gu Yu Qiao Chao Dong 28 160 0 07 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