Some games (like early 3D platformers) tend to have drastically different style from another, often mainstream games, in terms of its cartoony or perhaps photorealistic look. The superresolution networks that NVIDIA used doesn’t use disentanglement i believe, which possibly restricts its generalization and usage on ultra-LQ textures..

​

Might someone look into joining games with similiar graphics styles from early era and todays’s era (even though the style similiarity is questionable, sometimes games within the same franchises look different, so perhaps a style disentangler trained on regular datasets might be used to diffrentiate between ’em) and learn a network to recognize a style and generate high-resolution details based on dat ?