Graphics

LOD procedural generation: generate rough large-scale statistics like orbit, size, location, color + normal map, & store this only long-term
- Then generate more and more details with a neural network client-side, on the fly
Will probably train a specialized neural network that given high-level stats & view, generates details that look identical to the high-level picture when zoomed out.
- Can train this with sth like a GAN, with training samples produced "in reverse" by running a slow algorithm that procedurally generates detailed planets, then zoom out
No bikes or cars, or in general land vehicles: physics simulation too computationally intensive. Also who would want cars in a world where you can have hovercars

Need some fast GI approximation that doesn't rely on anything prebaked

Target: half life 2 quality on integrated graphics

Z-buffer tricks in space, possibly quadruple-precision floats in galaxy space as ground truth?

Depends on travel mechanics

Last updated 2 years ago

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LOD procedural generation: generate rough large-scale statistics like orbit, size, location, color + normal map, & store this only long-term
- Then generate more and more details with a neural network client-side, on the fly
Will probably train a specialized neural network that given high-level stats & view, generates details that look identical to the high-level picture when zoomed out.
- Can train this with sth like a GAN, with training samples produced "in reverse" by running a slow algorithm that procedurally generates detailed planets, then zoom out
No bikes or cars, or in general land vehicles: physics simulation too computationally intensive. Also who would want cars in a world where you can have hovercars

Need some fast GI approximation that doesn't rely on anything prebaked

Target: half life 2 quality on integrated graphics

Z-buffer tricks in space, possibly quadruple-precision floats in galaxy space as ground truth?

Depends on travel mechanics

Last updated 2 years ago

Was this helpful?