Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

11 April 2017

Papers citing "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"

49 / 49 papers shown

Title
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 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 27 20 0 29 May 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 62 1 0 28 May 2024
Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems Carter Lyons R. Raj Margaret Cheney BDL 21 3 0 28 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
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan S. Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 20 11 0 22 May 2023
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels Charles Laroche Andrés Almansa Eva Coupeté Matias Tassano 25 2 0 19 Oct 2022
Video Restoration with a Deep Plug-and-Play Prior Antoine Monod J. Delon Matias Tassano Andrés Almansa 25 1 0 06 Sep 2022
Estimating a potential without the agony of the partition function E. Haber Moshe Eliasof L. Tenorio 25 2 0 19 Aug 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 26 6 0 26 Jul 2022
A hybrid approach to seismic deblending: when physics meets self-supervision N. Luiken M. Ravasi C. Birnie 16 6 0 30 May 2022
Deep Generalized Unfolding Networks for Image Restoration Chong Mou Qian Wang Jian Zhang 26 182 0 28 Apr 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 21 15 0 13 Apr 2022
Alternative design of DeepPDNet in the context of image restoration Mingyuan Jiu N. Pustelnik 25 2 0 20 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 25 15 0 20 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 19 25 0 16 Jan 2022
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 24 93 0 07 Oct 2021
High-dimensional Assisted Generative Model for Color Image Restoration Kai Hong Chunhua Wu Cailian Yang Minghui Zhang Yancheng Lu Yuhao Wang Qiegen Liu DiffM 18 1 0 14 Aug 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas K. Maier OOD 15 11 0 19 May 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms Pravin Nair Ruturaj G. Gavaskar K. Chaudhury 43 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 38 225 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
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 38 180 0 16 Feb 2021
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 28 14 0 16 Nov 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 22 15 0 03 Oct 2020
TorchRadon: Fast Differentiable Routines for Computed Tomography Matteo Ronchetti OOD MedIm 23 63 0 29 Sep 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser Zahra Kadkhodaie Eero P. Simoncelli 19 81 0 27 Jul 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 118 183 0 22 Jul 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems Erich Kobler Alexander Effland K. Kunisch T. Pock MedIm 12 19 0 15 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 518 0 12 May 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 18 103 0 22 Feb 2020
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 33 813 0 31 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 26 996 0 22 Dec 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 22 12 0 01 Aug 2019
Image-Adaptive GAN based Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes GAN 6 89 0 12 Jun 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 21 91 0 11 May 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 25 17 0 05 Apr 2019
Proximal Splitting Networks for Image Restoration Raied Aljadaany Dipan K. Pal Marios Savvides SupR 9 8 0 17 Mar 2019
Taking a Deeper Look at the Inverse Compositional Algorithm Zhaoyang Lv F. Dellaert James M. Rehg Andreas Geiger 3DV 6 48 0 17 Dec 2018
Deep Unfolding of a Proximal Interior Point Method for Image Restoration Carla Bertocchi Émilie Chouzenoux M. Corbineau J. Pesquet M. Prato 19 107 0 11 Dec 2018
Regularization by architecture: A deep prior approach for inverse problems Sören Dittmer T. Kluth Peter Maass Daniel Otero Baguer 19 97 0 10 Dec 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography T. Bubba Gitta Kutyniok Matti Lassas M. März Wojciech Samek S. Siltanen Vignesh Srinivasan 18 136 0 12 Nov 2018
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm Yu Sun Shiqi Xu Yunzhe Li L. Tian B. Wohlberg Ulugbek S. Kamilov 22 44 0 31 Oct 2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems Franziska Schirrmacher Thomas Köhler Christian Riess 14 5 0 06 Apr 2018
Local Kernels that Approximate Bayesian Regularization and Proximal Operators Frank Ong P. Milanfar Pascal Getreuer 17 12 0 09 Mar 2018
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations K. Zhang W. Zuo Lei Zhang SupR 44 902 0 17 Dec 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 19 747 0 20 Jul 2017