One Size Fits All: Can We Train One Denoiser for All Noise Levels?

19 May 2020

Papers citing "One Size Fits All: Can We Train One Denoiser for All Noise Levels?"

6 / 6 papers shown

Title
Pivotal Auto-Encoder via Self-Normalizing ReLU Nelson Goldenstein Jeremias Sulam Yaniv Romano 36 2 0 23 Jun 2024
A Scalable Training Strategy for Blind Multi-Distribution Noise Removal Kevin Zhang Sakshum Kulshrestha Christopher A. Metzler OOD 30 1 0 30 Oct 2023
Variational Deep Image Restoration Jae Woong Soh N. Cho SupR 54 39 0 03 Jul 2022
Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning Arjun D Desai Batu Mehmet Ozturkler Christopher M. Sandino R. Boutin M. Willis S. Vasanawala B. Hargreaves Christopher Ré John M. Pauly Akshay S. Chaudhari 29 3 0 30 Sep 2021
Variational Deep Image Denoising Jae Woong Soh N. Cho OOD 13 1 0 02 Apr 2021
Uncertainty-aware Generalized Adaptive CycleGAN Uddeshya Upadhyay Yanbei Chen Zeynep Akata 24 6 0 23 Feb 2021