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Noise2Stack: Improving Image Restoration by Learning from Volumetric Data

Noise2Stack: Improving Image Restoration by Learning from Volumetric Data

Mikhail Papkov
Kenny Roberts
Lee Ann Madissoon
Ö. Bayraktar
D. Fishman
K. Palo
L. Parts
ArXiv (abs)PDFHTML

Papers citing "Noise2Stack: Improving Image Restoration by Learning from Volumetric Data"

3 / 3 papers shown
Title
SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors
SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors
Alexandre Duarte
Francisco Fernandes
João M. Pereira
Catarina Moreira
Jacinto C. Nascimento
Joaquim A. Jorge
MDE
126
0
0
05 Jun 2024
Self-Supervised Single-Image Deconvolution with Siamese Neural Networks
Self-Supervised Single-Image Deconvolution with Siamese Neural Networks
Mikhail Papkov
K. Palo
L. Parts
21
1
0
18 Aug 2023
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning
Yaroslav Zharov
E. Ametova
Rebecca Spiecker
T. Baumbach
G. Burca
Vincent Heuveline
51
1
0
25 Mar 2023