2 ms·
A sample is not a model. Taking a picture of a surface, however detailed, doesn't get you any closer to rendering it. Neural networks are exciting here though.
by infogulch 9y ago
A sample is not a model. Taking a picture of a surface, however detailed, doesn't get you any closer to rendering it.
Neural networks are exciting here though. But even if it gets off the ground, it will still be at the "Phong shading" level model for some time.
- PeterisP 9y agoA single sample is not sufficient for a model, but if you have enough samples to infer the whole distribution, then that is sufficient. A thousand pictures of a particular surface may easily carry sufficient information to enable rendering a million different pictures that are not distinguishable from the real ones; a thousand motion capture sets of different people walking carry sufficient information to allow generating new motion sets that are different from the original samples, but not distinguishable from real people walking.