2 citations · 2 across the 6 of their papers we have counts for
8 papers
Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism
Yu-Jie Liang, Zihan Cao, Liang-Jian Deng +2
Current deep learning models for Multispectral and Hyperspectral Image Fusion (MS/HS fusion) are typically designed for fixed spectral bands and spatial scales, which limits their…
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…
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…
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.…
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…
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…
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…
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…