It should also be possible to train it on itself to improve moving scenes by using the motion itself as temporal super-sampling, just like the human eye does.
this works quite well, and does not necessarily require any NN/machine learning. see the youtube for this paper https://www.disneyresearch.com/publication/scenespace/
tldr simple brute force weighted average of samples from many frames, combined with a noisy/low quality depth-from-motion estimate can be used to de-noise, increase resolution and otherwise manipulate video footage. very cool paper with great results from a simple technique.