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HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution

HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution

30 August 2024
Masoomeh Aslahishahri
Jordan R. Ubbens
Ian Stavness
ArXivPDFHTML

Papers citing "HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution"

3 / 3 papers shown
Title
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and
  Restoration
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration
Marcos V. Conde
Ui-Jin Choi
Maxime Burchi
Radu Timofte
ViT
46
130
0
22 Sep 2022
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
186
5,138
0
16 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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