"very quickly changes to vastly different terrain" I anticipate potential use-cases ('level/scene generation' in game content creation) where this actually tur

"very quickly changes to vastly different terrain" I anticipate potential use-cases ('level/scene generation' in game content creation) where this actually turns out to be the most valuable aspect of the output. I can't imagine that it would be too much of a stretch to 'start with a photo' as a 'seed' and use it to create a 3D world. My only concern would be 'sameyness tendency', in other words, the problem would be that a variety of seed photos of similar kinds of scenes would end up creating worlds that were too similar to one another to make 'still photo to fly-through movie to navigable detailed 3D world' a sufficiently 'creative' source of sufficiently differentiated new game worlds (or of sufficiently differentiated new fly-through movies). I suspect this could all be fixed by 'differentiator algorithms' interfering with the key variables of the 'refinement' process, as well as broadening and continually adding to the range of movies in the training data.