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This reminds me of my "Sketch to Art" project made in 2018: https://github.com/mtobeiyf/sketch-to-art
The idea is pretty much the same, except Nvidia is using a more complex model.
Well, I think there is enough interesting research to put things in place. Not in single model. But, we have
1. Wave-function collapse models that synthesize domain data quite nicely when parametrized nicely - this is a "simpler" example of the concept. https://github.com/mxgmn/WaveFunctionCollapse
2. Fairly good understanding how to synthesize terrain. Terragen is a good example of this (although not public research, the images drive the point home nicely) https://planetside.co.uk/
So, we could use the source image from this as a seed to the wave-function collapse model that would use known terrain parametrization schemes to synthesize something usable (so basically create a Terragen equivalent model)
I think that's it plausibly more or less.
Here you go, works for both AWS and Azure, https://github.com/parsec-cloud/Parsec-Cloud-Preparation-Too.... Parsec is similar technology to Geforce Now (only better imho)
Here you go, works for both AWS and Azure, https://github.com/parsec-cloud/Parsec-Cloud-Preparation-Too.... Parsec is similar technology to Geforce Now (only better imho)