Abstract: Hyperspectral images (HSIs) are of crucial importance in order to better understand features from a large number of spectral channels. Restricted by its inner imaging mechanism, the spatial ...

Abstract: By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond ...

Turbulence is a complex flow phenomenon characterized by chaotic multiscale interactions which can be accurately modeled using direct numerical simulations (DNS). However, DNS is computationally ...