3 papers
cs.CV2025
Real Noise Decoupling for Hyperspectral Image Denoising
Yingkai Zhang, Tao Zhang, Jing Nie +1
Hyperspectral image (HSI) denoising is a crucial step in enhancing the quality of HSIs. Noise modeling methods can fit noise distributions to generate synthetic HSIs to train denoi…
cs.CV2025
Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance
Yingkai Zhang, Zeqiang Lai, Tao Zhang +2
Hyperspectral images super-resolution aims to improve the spatial resolution, yet its performance is often limited at high-resolution ratios. The recent adoption of high-resolution…
cs.CV2025
LL-Gaussian: Low-Light Scene Reconstruction and Enhancement via Gaussian Splatting for Novel View Synthesis
Hao Sun, Fenggen Yu, Huiyao Xu +2
Novel view synthesis (NVS) in low-light scenes remains a significant challenge due to degraded inputs characterized by severe noise, low dynamic range (LDR) and unreliable initiali…