Supervised Learning of Sparsity-Promoting Regularizers for Denoising

9 June 2020

Papers citing "Supervised Learning of Sparsity-Promoting Regularizers for Denoising"

16 / 16 papers shown

Title
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 67 531 0 12 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 342 42,299 0 03 Dec 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 63 244 0 04 Apr 2019
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 110 1,016 0 07 Dec 2017
Don't Decay the Learning Rate, Increase the Batch Size Samuel L. Smith Pieter-Jan Kindermans Chris Ying Quoc V. Le ODL 95 994 0 01 Nov 2017
A Review of Convolutional Neural Networks for Inverse Problems in Imaging Michael T. McCann Kyong Hwan Jin M. Unser 3DV 61 592 0 11 Oct 2017
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising Bihan Wen S. Ravishankar Y. Bresler 32 34 0 03 Oct 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction Harshit Gupta Kyong Hwan Jin H. Nguyen Michael T. McCann M. Unser 3DV 104 365 0 06 Sep 2017
Learning Convex Regularizers for Optimal Bayesian Denoising H. Nguyen E. Bostan M. Unser 32 19 0 16 May 2017
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 128 6,980 0 13 Aug 2016
Learning optimal nonlinearities for iterative thresholding algorithms Ulugbek S. Kamilov Hassan Mansour 42 108 0 15 Dec 2015
$$\ell_0$ Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees$ $\ell_0$ Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees S. Ravishankar Y. Bresler 53 99 0 13 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014
$Learning $\ell_1$-based analysis and synthesis sparsity priors using bi-level optimization$ Learning $\ell_1$ -based analysis and synthesis sparsity priors using bi-level optimization Yunjin Chen Thomas Pock Horst Bischof 72 39 0 16 Jan 2014
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs Yunjin Chen René Ranftl Thomas Pock 67 114 0 13 Jan 2014
Task-Driven Dictionary Learning Julien Mairal Francis R. Bach Jean Ponce 93 898 0 27 Sep 2010