They reformulate the decompression problem in the shape of a supperresolution problem conforming to what you just wrote. Instead of getting variety through imag

They reformulate the decompression problem in the shape of a supperresolution problem conforming to what you just wrote. Instead of getting variety through images of a video clip they use the generalization properties of a neural network. "For lossless super-resolution, we predict the probability of a high-resolution image, conditioned on the low-resolution input"