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"

50 / 67 papers shown

Title
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 51 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 Bouman DiffM 39 22 0 29 May 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 65 1 0 28 May 2024
Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems Carter Lyons R. Raj Margaret Cheney BDL 29 3 0 28 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 36 11 0 22 Oct 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan Shirin Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 36 11 0 22 May 2023
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 37 12 0 28 Oct 2022
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels Charles Laroche Andrés Almansa Eva Coupeté Matias Tassano 32 2 0 19 Oct 2022
On Adversarial Robustness of Deep Image Deblurring Kanchana Vaishnavi Gandikota Paramanand Chandramouli Michael Moeller 44 11 0 05 Oct 2022
Video Restoration with a Deep Plug-and-Play Prior Antoine Monod J. Delon Matias Tassano Andrés Almansa 35 1 0 06 Sep 2022
Estimating a potential without the agony of the partition function E. Haber Moshe Eliasof L. Tenorio 33 2 0 19 Aug 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors Shirin Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 28 6 0 26 Jul 2022
A hybrid approach to seismic deblending: when physics meets self-supervision N. Luiken M. Ravasi C. Birnie 24 6 0 30 May 2022
Deep Generalized Unfolding Networks for Image Restoration Chong Mou Qian Wang Jian Zhang 51 183 0 28 Apr 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 47 16 0 13 Apr 2022
Alternative design of DeepPDNet in the context of image restoration Mingyuan Jiu N. Pustelnik 27 2 0 20 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Learning Proximal Operators to Discover Multiple Optima Lingxiao Li Noam Aigerman Vladimir G. Kim Jiajin Li Kristjan Greenewald Mikhail Yurochkin Justin Solomon 47 1 0 28 Jan 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 32 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 25 25 0 16 Jan 2022
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 38 93 0 07 Oct 2021
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration Mikael Le Pendu C. Guillemot 25 17 0 01 Oct 2021
Wasserstein Patch Prior for Image Superresolution J. Hertrich Antoine Houdard C. Redenbach SupR MDE 34 22 0 27 Sep 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 33 1 0 14 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas Maier OOD 25 11 0 19 May 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms Pravin Nair Ruturaj G. Gavaskar K. Chaudhury 48 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 61 225 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 26 109 0 08 Mar 2021
Mobile Computational Photography: A Tour M. Delbracio D. Kelly Michael S. Brown P. Milanfar HAI 102 73 0 17 Feb 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 49 181 0 16 Feb 2021
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 33 318 0 15 Dec 2020
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 36 14 0 16 Nov 2020
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms J. Hertrich Sebastian Neumayer Gabriele Steidl 22 57 0 04 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 37 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 32 82 0 27 Jul 2020
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction Yunmei Chen Hongcheng Liu X. Ye Qingchao Zhang 61 23 0 22 Jul 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 137 183 0 22 Jul 2020
End-to-end Interpretable Learning of Non-blind Image Deblurring Thomas Eboli Jian Sun Jean Ponce 19 41 0 03 Jul 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock MedIm 27 19 0 15 Jun 2020
Scalable Plug-and-Play ADMM with Convergence Guarantees Yu Sun Zihui Wu Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov BDL 35 74 0 05 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 13 521 0 12 May 2020
When deep denoising meets iterative phase retrieval Yaotian Wang Xiaohang Sun Jason W. Fleischer 20 18 0 03 Mar 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 21 103 0 22 Feb 2020
Total Deep Variation for Linear Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock 24 89 0 14 Jan 2020
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 35 815 0 31 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 46 1,002 0 22 Dec 2019
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM Ruturaj G. Gavaskar K. Chaudhury 9 13 0 31 Oct 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 24 12 0 01 Aug 2019