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20242026
most citedFourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion

2 citations · 2 across the 6 of their papers we have counts for

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cs.CV2025

Fast Kernel-Space Diffusion for Remote Sensing Pansharpening

Hancong Jin, Zihan Cao, Liang-jian Deng +1

Pansharpening seeks to fuse high-resolution panchromatic (PAN) and low-resolution multispectral (LRMS) images into a single image with both fine spatial and rich spectral detail. D…

cs.CV2025

Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening

Zihan Cao, Yu Zhong, Liang-Jian Deng

Pansharpening, a pivotal task in remote sensing for fusing high-resolution panchromatic and multispectral imagery, has garnered significant research interest. Recent advancements e…

cs.CV2025

MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidance

Zihan Cao, Yu Zhong, Ziqi Wang +1

Image fusion, a fundamental low-level vision task, aims to integrate multiple image sequences into a single output while preserving as much information as possible from the input.…

cs.CV2024★ 2 cited

Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion

Yu-Jie Liang, Zihan Cao, Liang-Jian Deng +1

Recently, implicit neural representations (INR) have made significant strides in various vision-related domains, providing a novel solution for Multispectral and Hyperspectral Imag…

cs.CV2024

SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening

Yu Zhong, Xiao Wu, Liang-Jian Deng +1

Pansharpening is a significant image fusion technique that merges the spatial content and spectral characteristics of remote sensing images to generate high-resolution multispectra…

cs.CV2024

Neural Shrödinger Bridge Matching for Pansharpening

Zihan Cao, Xiao Wu, Liang-Jian Deng

Recent diffusion probabilistic models (DPM) in the field of pansharpening have been gradually gaining attention and have achieved state-of-the-art (SOTA) performance. In this paper…

cs.CV2024

A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion

Zihan Cao, Xiao Wu, Liang-Jian Deng +1

In image fusion tasks, images from different sources possess distinct characteristics. This has driven the development of numerous methods to explore better ways of fusing them whi…