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Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated
  Convolutional Kernel Architecture

Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture

7 December 2020
Kanggeun Lee
Won-Ki Jeong
ArXivPDFHTML

Papers citing "Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture"

4 / 4 papers shown
Title
On normalization-equivariance properties of supervised and unsupervised
  denoising methods: a survey
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau
Charles Kervrann
OOD
45
0
0
23 Feb 2024
Decay2Distill: Leveraging spatial perturbation and regularization for
  self-supervised image denoising
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
As if by magic: self-supervised training of deep despeckling networks
  with MERLIN
As if by magic: self-supervised training of deep despeckling networks with MERLIN
Emanuele Dalsasso
L. Denis
F. Tupin
18
64
0
25 Oct 2021
Joint self-supervised blind denoising and noise estimation
Joint self-supervised blind denoising and noise estimation
J. Ollion
Charles Ollion
Elisabeth Gassiat
Luc Lehéricy
Sylvain Le Corff
27
9
0
16 Feb 2021
1