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

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

11 April 2017

Michael Möller

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

17 / 67 papers shown

Title
Image-Adaptive GAN based Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes GAN 19 89 0 12 Jun 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zhangyang Wang W. Yin AI4CE 22 348 0 14 May 2019
Block Coordinate Regularization by Denoising Yu Sun Jiaming Liu Ulugbek S. Kamilov 32 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 31 91 0 11 May 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 33 17 0 05 Apr 2019
Proximal Splitting Networks for Image Restoration Raied Aljadaany Dipan K. Pal Marios Savvides SupR 17 8 0 17 Mar 2019
Neumann Networks for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 19 24 0 13 Jan 2019
Taking a Deeper Look at the Inverse Compositional Algorithm Zhaoyang Lv F. Dellaert James M. Rehg Andreas Geiger 3DV 19 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 27 107 0 11 Dec 2018
Regularization by architecture: A deep prior approach for inverse problems Sören Dittmer T. Kluth Peter Maass Daniel Otero Baguer 35 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 24 136 0 12 Nov 2018
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm Yu Sun Shiqi Xu Yunzhe Li Lei Tian B. Wohlberg Ulugbek S. Kamilov 30 44 0 31 Oct 2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems Franziska Schirrmacher Thomas Köhler Christian Riess 24 5 0 06 Apr 2018
Local Kernels that Approximate Bayesian Regularization and Proximal Operators Frank Ong P. Milanfar Pascal Getreuer 38 12 0 09 Mar 2018
Denoising Prior Driven Deep Neural Network for Image Restoration W. Dong Peiyao Wang W. Yin Guangming Shi Fangfang Wu Xiaotong Lu SupR 39 417 0 21 Jan 2018
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations Peng Sun W. Zuo Lei Zhang SupR 61 904 0 17 Dec 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 26 747 0 20 Jul 2017