R2H-Diff is a guided spectral diffusion framework that reconstructs hyperspectral images from RGB observations using RGB-conditioned feature fusion, transposed attention, and a five-step linear noise schedule to achieve 35.37 dB PSNR with only 0.58M parameters.
Whanet: Wavelet- based hybrid asymmetric network for spectral super-resolution from rgb inputs
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R2H-Diff: Guided Spectral Diffusion Model for RGB-to-Hyperspectral Reconstruction
R2H-Diff is a guided spectral diffusion framework that reconstructs hyperspectral images from RGB observations using RGB-conditioned feature fusion, transposed attention, and a five-step linear noise schedule to achieve 35.37 dB PSNR with only 0.58M parameters.