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From Coarse to Fine: Hierarchical Pixel Integration for Lightweight
  Image Super-Resolution

From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution

30 November 2022
Jie Liu
Chaoqian Chen
Jie Tang
Gangshan Wu
    SupR
ArXivPDFHTML

Papers citing "From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution"

7 / 7 papers shown
Title
CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution
Xin Liu
Jie Liu
J. Tang
Gangshan Wu
SupR
ViT
54
0
0
10 Mar 2025
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image
  Super-Resolution
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-Resolution
Yuzhen Li
Zehang Deng
Yuxin Cao
Lihua Liu
24
1
0
14 Aug 2024
Efficient Real-world Image Super-Resolution Via Adaptive Directional
  Gradient Convolution
Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution
Long Peng
Yang Cao
Renjing Pei
Wenbo Li
Jiaming Guo
Xueyang Fu
Yang Wang
Zheng-Jun Zha
34
12
0
11 May 2024
Multi-Depth Branch Network for Efficient Image Super-Resolution
Multi-Depth Branch Network for Efficient Image Super-Resolution
Huiyuan Tian
Li Zhang
Shijian Li
Min Yao
Gang Pan
SupR
35
11
0
29 Sep 2023
CMT: Convolutional Neural Networks Meet Vision Transformers
CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo
Kai Han
Han Wu
Yehui Tang
Chunjing Xu
Yunhe Wang
Chang Xu
ViT
337
629
0
13 Jul 2021
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
66
862
0
26 Sep 2019
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
190
5,163
0
16 Sep 2016
1