Training Deep Learning Based Denoisers without Ground Truth Data

4 March 2018

Papers citing "Training Deep Learning Based Denoisers without Ground Truth Data"

17 / 17 papers shown

Title
Score-based Self-supervised MRI Denoising Jiachen Tu Yaokun Shi Fan Lam DiffM 63 2 0 08 May 2025
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 48 0 0 23 Feb 2024
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 36 3 0 12 Dec 2023
Self-Supervised Image Restoration with Blurry and Noisy Pairs Zhilu Zhang Rongjian Xu Ming-Yu Liu Zifei Yan W. Zuo 40 12 0 14 Nov 2022
Decay2Distill: Leveraging spatial perturbation and regularization for self-supervised image denoising Manisha Das Chaity Masud An Nur Islam Fahim DiffM 30 1 0 03 Aug 2022
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 25 60 0 25 Nov 2021
Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques Natalia L. Oliveira Jing Lei R. Tibshirani 27 10 0 17 Nov 2021
Deformation-Compensated Learning for Image Reconstruction without Ground Truth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu Hongyu An Ulugbek S. Kamilov 26 12 0 12 Jul 2021
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise Jaeseok Byun Sungmin Cha Taesup Moon 39 42 0 23 May 2021
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate Ruangrawee Kitichotkul Christopher A. Metzler Frank Ong Gordon Wetzstein UQCV 44 8 0 25 Oct 2020
Unsupervised MRI Reconstruction with Generative Adversarial Networks Elizabeth K. Cole John M. Pauly S. Vasanawala Frank Ong GAN MedIm 22 50 0 29 Aug 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
Self-Supervised Poisson-Gaussian Denoising Wesley Khademi Sonia Rao Clare Minnerath Guy M. Hagen Jonathan Ventura 23 30 0 21 Feb 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
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising Alexander Krull Tomáš Vičar Florian Jug DiffM 25 165 0 03 Jun 2019
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images Magauiya Zhussip Shakarim Soltanayev S. Chun OOD 23 3 0 07 Feb 2019
Unsupervised Learning with Stein's Unbiased Risk Estimator Christopher A. Metzler Ali Mousavi Reinhard Heckel Richard G. Baraniuk OOD 26 103 0 26 May 2018