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20242026
most citedHSIGene: A Foundation Model For Hyperspectral Image Generation

3 citations · 3 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2026

CGFformer: Cluster-Guidance Frequency Transformer for Pansharpening

Zijian Zhou, Jianing Zhang, Kai Sun +3

Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispectral (LRMS) images with high-resolution panchromatic (PAN) images. Howe…

cs.CV2026

The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

Kai Liu, Haoyang Yue, Zeli Lin +65

This paper presents the NTIRE 2026 Remote Sensing Infrared Image Super-Resolution (x4) Challenge, one of the associated challenges of NTIRE 2026. The challenge aims to recover high…

cs.CV2025

Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm

Jiangjun Peng, Yisi Luo, Xiangyong Cao +2

The nuclear norm (NN) has been widely explored in matrix recovery problems, such as Robust PCA and matrix completion, leveraging the inherent global low-rank structure of the data.…

cs.CV2025

Motion-Enhanced Nonlocal Similarity Implicit Neural Representation for Infrared Dim and Small Target Detection

Pei Liu, Yisi Luo, Wenzhen Wang +1

Infrared dim and small target detection presents a significant challenge due to dynamic multi-frame scenarios and weak target signatures in the infrared modality. Traditional low-r…

cs.CV2024

Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image

Shuang Xu, Zixiang Zhao, Haowen Bai +4

Hyperspectral images (HSIs) are frequently noisy and of low resolution due to the constraints of imaging devices. Recently launched satellites can concurrently acquire HSIs and pan…

cs.CV20243 cited

HSIGene: A Foundation Model For Hyperspectral Image Generation

Li Pang, Xiangyong Cao, Datao Tang +4

Hyperspectral image (HSI) plays a vital role in various fields such as agriculture and environmental monitoring. However, due to the expensive acquisition cost, the number of hyper…