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Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution
9 August 2023
Ao Li
Le Zhang
Yun-Hai Liu
Ce Zhu
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Papers citing
"Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution"
7 / 7 papers shown
Title
A Physics-Informed Deep Learning Model for MRI Brain Motion Correction
Mojtaba Safari
Shansong Wang
Zach Eidex
Richard L. J. Qiu
Chih-Wei Chang
D. Yu
Xiaofeng Yang
82
0
0
13 Feb 2025
Partial Large Kernel CNNs for Efficient Super-Resolution
Dongheon Lee
Seokju Yun
Youngmin Ro
SupR
28
0
0
18 Apr 2024
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
Cansu Korkmaz
A. Murat Tekalp
ViT
36
6
0
17 Apr 2024
LIPT: Latency-aware Image Processing Transformer
Junbo Qiao
Wei Li
Haizhen Xie
Hanting Chen
Yunshuai Zhou
Zhijun Tu
Jie Hu
Shaohui Lin
SupR
VLM
37
1
0
09 Apr 2024
DRCT: Saving Image Super-resolution away from Information Bottleneck
Chih-Chung Hsu
Chia-Ming Lee
Yi-Shiuan Chou
24
28
0
31 Mar 2024
Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui
Xinbo Gao
Yunchu Yang
Xiumei Wang
SupR
66
862
0
26 Sep 2019
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
190
5,138
0
16 Sep 2016
1