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Deep learning architectural designs for super-resolution of noisy images

Deep learning architectural designs for super-resolution of noisy images

9 February 2021
Angel Villar-Corrales
Franziska Schirrmacher
Christian Riess
    SupR
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Papers citing "Deep learning architectural designs for super-resolution of noisy images"

4 / 4 papers shown
Title
LIT-Former: Linking In-plane and Through-plane Transformers for
  Simultaneous CT Image Denoising and Deblurring
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring
Zhihao Chen
Chuang Niu
Qi Gao
Ge Wang
Hongming Shan
MedIm
ViT
3DV
46
20
0
21 Feb 2023
Benchmarking Probabilistic Deep Learning Methods for License Plate
  Recognition
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
Franziska Schirrmacher
Benedikt Lorch
Anatol Maier
Christian Riess
UQCV
30
4
0
02 Feb 2023
Unsupervised Image Decomposition with Phase-Correlation Networks
Unsupervised Image Decomposition with Phase-Correlation Networks
Angel Villar-Corrales
Sven Behnke
OCL
35
4
0
07 Oct 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
234
5,180
0
16 Sep 2016
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