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This looks amazing.

Question for the more experienced deep learning folk: if I wanted to use this to upscale textures for a game, would I have to train it on the same type of texture? In other words additional wood textures when upscaling wood, brick when upscaling brick textures, and so on?

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(Author here.) If you have the luxury to train on domain-specific textures, the results will definitely be better. That's why I included all the training code in the repository as well—to allow for this kind of solution.

If you scroll down on GitHub to see the faces examples, those are achieved by a domain-specific network. I suspect you'll similarly get extremely high-quality if you have good input images.

Yes, that would help a lot with output quality. The machine can only hallucinate what it has previously seen.

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