Self-Supervised Hyperspectral Super-Resolution From RGB With Score-Distilled Spectral Prior
Recovering hyperspectral images (HSIs) from RGB observations is a highly ill-posed problem due to severe spectral information loss. However, current methods either rely on costly paired RGB–HSI datasets that are difficult to obtain or on unpaired RGB–HSI data for spectral guidance, which increases training costs and of...