“Fast Product Importance Sampling of Environment Maps”

  • ©Alejandro Conty Estevez and Pascal Lecocq

  • ©Alejandro Conty Estevez and Pascal Lecocq

  • ©Alejandro Conty Estevez and Pascal Lecocq



Entry Number: 71


    Fast Product Importance Sampling of Environment Maps



    We present a technique to importance sample large collections of lights. A bounding volume hierarchy over all lights is traversed at each shading point using a single random number in a way that importance samples their predicted contribution. We further improve the performance of the algorithm by forcing splitting until the importance of a cluster is sufficiently representative of its contents.


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