4 citations · 14 across the 28 of their papers we have counts for
6 papers · 1 filter
HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing
Li Pang, Xinqiao Wu, Jing Yao +5
Hyperspectral remote sensing provides dense spectral measurements that are indispensable for material-level Earth observation, yet the construction of a general-purpose hyperspectr…
HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation
Li Pang, Heng Zhao, Yijia Zhang +2
Hyperspectral image (HSI) restoration is crucial for reliable analysis, as real-world HSIs suffer from noise, blur, and resolution loss. However, existing models trained on source…
Aligning Network Equivariance with Data Symmetry: A Theoretical Framework and Adaptive Approach for Image Restoration
Feiyu Tan, Qi Xie, Zongben Xu +1
Image restoration is an inherently ill posed inverse problem. Equivariant networks that embed geometric symmetry priors can mitigate this ill posedness and improve performance. How…
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…
Layout-Guided Controllable Pathology Image Generation with In-Context Diffusion Transformers
Yuntao Shou, Xiangyong Cao, Qian Zhao +1
Controllable pathology image synthesis requires reliable regulation of spatial layout, tissue morphology, and semantic detail. However, existing text-guided diffusion models offer…
Neural Approximation and Its Applications
Wei-Hao Wu, Ting-Zhu Huang, Xi-Le Zhao +2
Multivariate function approximation is a fundamental problem in machine learning. Classic multivariate function approximations rely on hand-crafted basis functions (e.g., polynomia…