v1v2v3 (latest)

The Little Engine that Could: Regularization by Denoising (RED)

9 November 2016

Papers citing "The Little Engine that Could: Regularization by Denoising (RED)"

25 / 25 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 139 5 0 21 Feb 2025
Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 114 0 0 28 Jan 2025
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 149 4 0 04 Oct 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 95 0 0 18 Jul 2024
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen Mathurin Massias Titouan Vayer 141 0 0 13 Jun 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Zhang DiffM 96 5 0 25 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 112 2 0 05 Mar 2024
Regularization by Texts for Latent Diffusion Inverse Solvers Jeongsol Kim Geon Yeong Park Hyungjin Chung Jong Chul Ye AI4CE 124 16 0 27 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 86 5 0 05 Oct 2023
When deep denoising meets iterative phase retrieval Yaotian Wang Xiaohang Sun Jason W. Fleischer 111 18 0 03 Mar 2020
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM Ruturaj G. Gavaskar K. Chaudhury 58 13 0 31 Oct 2019
Scene-adapted plug-and-play algorithm with convergence guarantees Afonso M. Teodoro J. Bioucas-Dias Mário A. T. Figueiredo 19 2 0 08 Feb 2017
Revisiting maximum-a-posteriori estimation in log-concave models Marcelo Pereyra 59 22 0 19 Dec 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding Vardan Papyan Yaniv Romano Michael Elad 93 287 0 27 Jul 2016
Image Restoration with Locally Selected Class-Adapted Models Afonso M. Teodoro J. Bioucas-Dias Mário A. T. Figueiredo DiffM 48 12 0 23 May 2016
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications Stanley H. Chan Xiran Wang Omar A. Elgendy 68 767 0 05 May 2016
Algorithm-Induced Prior for Image Restoration Stanley H. Chan 25 15 0 01 Feb 2016
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation S. Sreehari S. Venkatakrishnan B. Wohlberg L. Drummy Jeff P. Simmons Charles A. Bouman 80 342 0 23 Dec 2015
Postprocessing of Compressed Images via Sequential Denoising Yehuda Dar A. Bruckstein Michael Elad Raja Giryes 51 74 0 30 Oct 2015
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration Yunjin Chen Thomas Pock DiffM 54 1,190 0 12 Aug 2015
Boosting of Image Denoising Algorithms Yaniv Romano Michael Elad 69 143 0 22 Feb 2015
Image processing Ke Yan CVBM 62 220 0 25 Aug 2014
Perturbation of the Eigenvectors of the Graph Laplacian: Application to Image Denoising François G. Meyer X. Shen 86 76 0 29 Feb 2012
Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization W. Dong Lei Zhang Guangming Shi Xiaolin Wu 94 1,356 0 06 Dec 2010
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity Guoshen Yu Guillermo Sapiro S. Mallat 110 610 0 15 Jun 2010