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Noise2Stack: Improving Image Restoration by Learning from Volumetric
  Data

Noise2Stack: Improving Image Restoration by Learning from Volumetric Data

10 November 2020
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
1