I was looking for algorithms that quickly compute quite nice realistic, or not realistic, animated landscapes, in video format ("animated" = the camera moves, or the water is animated, etc.) But all I found were: deep learning GANs, which are difficult to train, or even difficult to set or transfer. ("hard" and time-consuming too)
The animated landscapes rendered can be like children's cartoons: I just want to quickly generate landscapes, which have to be quite beautiful, that's all.
What research papers, documentation, tutorials, tools, APIs, libraries, Github/Gitlab repositories should I read? MIT license or equivalent please.