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S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and
  Blind Super-Resolution

S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution

16 August 2023
Minghao She
Wendong Mao
Huihong Shi
Zhongfeng Wang
    ViT
ArXivPDFHTML

Papers citing "S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution"

3 / 3 papers shown
Title
Lightweight Image Super-Resolution with Information Multi-distillation
  Network
Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui
Xinbo Gao
Yunchu Yang
Xiumei Wang
SupR
71
867
0
26 Sep 2019
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,368
0
07 Oct 2016
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
198
5,176
0
16 Sep 2016
1