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

9 November 2016

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

47 / 47 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 61 5 0 21 Feb 2025
Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 40 0 0 28 Jan 2025
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 21 2 0 04 Oct 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 35 0 0 18 Jul 2024
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen Mathurin Massias Titouan Vayer 38 0 0 13 Jun 2024
One-Shot Image Restoration Deborah Pereg SupR 20 1 0 26 Apr 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 18 0 0 23 Feb 2024
Learning pseudo-contractive denoisers for inverse problems Deliang Wei Peng Chen Fang Li 14 3 0 08 Feb 2024
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 8 3 0 12 Dec 2023
Regularization by Texts for Latent Diffusion Inverse Solvers Jeongsol Kim Geon Yeong Park Hyungjin Chung Jong Chul Ye AI4CE 26 14 0 27 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 20 11 0 22 Oct 2023
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models Marien Renaud Jiaming Liu Valentin De Bortoli Andrés Almansa Ulugbek S. Kamilov 14 5 0 05 Oct 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision A. Tewari Tianwei Yin George Cazenavette Semon Rezchikov J. Tenenbaum F. Durand William T. Freeman Vincent Sitzmann DiffM 27 88 0 20 Jun 2023
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems Samuel Hurault Ulugbek Kamilov Arthur Leclaire Nicolas Papadakis 8 10 0 06 Jun 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 8 3 0 12 May 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction Oscar Leong Angela F. Gao He Sun Katherine L. Bouman 16 5 0 12 Apr 2023
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging Berk Iskender M. Klasky Y. Bresler 12 3 0 07 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement Ben Fei Zhaoyang Lyu Liang Pan Junzhe Zhang Weidong Yang Tian-jian Luo Bo-Wen Zhang Bo Dai DiffM 11 176 0 03 Apr 2023
RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging Shiyun Zhou Tingfa Xu Shaocong Dong Jianan Li 11 12 0 06 Feb 2023
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels Charles Laroche Andrés Almansa Eva Coupeté Matias Tassano 17 1 0 19 Oct 2022
Explainable bilevel optimization: an application to the Helsinki deblur challenge S. Bonettini Giorgia Franchini Danilo Pezzi M. Prato 12 10 0 18 Oct 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal Eitan Borgnia Hong-Min Chu Jie S. Li Hamid Kazemi Furong Huang Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 18 262 0 19 Aug 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 11 6 0 26 Jul 2022
Optimizing Intermediate Representations of Generative Models for Phase Retrieval Tobias Uelwer S. Konietzny Stefan Harmeling 4 1 0 31 May 2022
A hybrid approach to seismic deblending: when physics meets self-supervision N. Luiken M. Ravasi C. Birnie 8 5 0 30 May 2022
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising Peizhou Huang C. Zhang Xiaoliang Zhang Xiaojuan Li Liang Dong L. Ying 20 14 0 07 May 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 8 11 0 18 Mar 2022
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients Junqi Tang 10 2 0 14 Mar 2022
Equivariance Regularization for Image Reconstruction Junqi Tang 11 2 0 10 Feb 2022
Monotonically Convergent Regularization by Denoising Yuyang Hu Jiaming Liu Xiaojian Xu Ulugbek S. Kamilov 11 8 0 10 Feb 2022
Unsupervised PET Reconstruction from a Bayesian Perspective Chenyu Shen Wenjun Xia H. Ye Mingzheng Hou Hu Chen Yan Liu Jiliu Zhou Yi Zhang 28 3 0 29 Oct 2021
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 13 91 0 07 Oct 2021
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal Lina Zhuang Michael Kwok-Po Ng 31 89 0 18 Sep 2021
Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen Julián Tachella Mike E. Davies SSL 18 90 0 26 Mar 2021
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 16 11 0 27 Sep 2020
Block Coordinate Regularization by Denoising Yu Sun Jiaming Liu Ulugbek S. Kamilov 14 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 19 90 0 11 May 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 17 17 0 05 Apr 2019
Deep Griffin-Lim Iteration Yoshiki Masuyama Kohei Yatabe Yuma Koizumi Yasuhiro Oikawa N. Harada 24 55 0 10 Mar 2019
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 8 273 0 02 Oct 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 16 177 0 17 Jun 2018
Rendition: Reclaiming what a black box takes away P. Milanfar 13 12 0 23 Apr 2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems Franziska Schirrmacher Thomas Köhler Christian Riess 6 5 0 06 Apr 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network Christopher A. Metzler Philip Schniter Ashok Veeraraghavan Richard G. Baraniuk OOD 20 168 0 01 Mar 2018
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations K. Zhang W. Zuo Lei Zhang SupR 24 898 0 17 Dec 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 19 734 0 20 Jul 2017
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 48 283 0 27 Jul 2016