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20242026
most citedHSIGene: A Foundation Model For Hyperspectral Image Generation

3 citations · 4 across the 4 of their papers we have counts for

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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.CV20251 cited

SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Kaiyu Li, Zepeng Xin, Li Pang +7

Remote sensing has become critical for understanding environmental dynamics, urban planning, and disaster management. However, traditional remote sensing workflows often rely on ex…

cs.CV2025

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP

Li Pang, Jing Yao, Kaiyu Li +3

Hyperspectral image (HSI) classification aims to categorize each pixel in an HSI into a specific land cover class, which is crucial for applications such as remote sensing, environ…

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…

cs.CV2024

HAIR: Hypernetworks-based All-in-One Image Restoration

Jin Cao, Yi Cao, Li Pang +2

Image restoration aims to recover a high-quality clean image from its degraded version. Recent progress in image restoration has demonstrated the effectiveness of All-in-One image…

cs.CV2024

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models

Li Pang, Xiangyu Rui, Long Cui +3

Hyperspectral image (HSI) restoration aims at recovering clean images from degraded observations and plays a vital role in downstream tasks. Existing model-based methods have limit…