Importance Sampling of Many Lights With Adaptive Tree Splitting

Alejandro Conty, Christopher Kulla

Presented at Siggraph 2017


In this technique for importance sampling large collections of lights, a bounding-volume hierarchy over all lights is traversed at each shading point using a single random number with an adaptive sampling rate in a way that importance samples their predicted contribution.