Spectral Super-Resolution From RGB via Dual-Branch Feature Modeling
Recovering hyperspectral signals from RGB images is a severely ill-posed problem: reconstruction must preserve coherent material spectra over long spatial ranges while resolving texture-dependent variations near local structures and boundaries. Existing architectures commonly encode both regularities within a shared re...