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Probability-based Global Cross-modal Upsampling for Pansharpening

Probability-based Global Cross-modal Upsampling for Pansharpening

9 March 2023
Zeyu Zhu
Xiangyong Cao
Man Zhou
Junhao Huang
Deyu Meng
ArXivPDFHTML

Papers citing "Probability-based Global Cross-modal Upsampling for Pansharpening"

4 / 4 papers shown
Title
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables
Zhongnan Cai
Yingying Wang
Yunlong Lin
Hui Zheng
Ge Meng
Zixu Lin
Jiaxin Xie
Junbin Lu
Yue Huang
Xinghao Ding
34
0
0
31 Mar 2025
PanBench: Towards High-Resolution and High-Performance Pansharpening
PanBench: Towards High-Resolution and High-Performance Pansharpening
Shiying Wang
Xuechao Zou
Kai Li
Junliang Xing
Pin Tao
8
1
0
20 Nov 2023
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
180
536
0
08 Mar 2020
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
183
5,138
0
16 Sep 2016
1