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Bayesian online regression for adaptive direct illumination sampling
Petr Vévoda
Ivo Kondapaneni
Jaroslav Křivánek
Abstract
A novel adaptive solution for unbiased Monte Carlo direct illumination sampling, based on online learning of the light selection probability distributions.
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