“Fast Product Importance Sampling of Environment Maps”
Conference:
Type(s):
Entry Number: 71
Title:
- Fast Product Importance Sampling of Environment Maps
Presenter(s)/Author(s):
Abstract:
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.
References:
Peter Shirley, Changyaw Wang, and Kurt Zimmerman. 1996. Monte Carlo Techniques for Direct Lighting Calculations. ACM Trans. Graph. 15, 1 (Jan. 1996), 1–36.
Petr Vévoda and Jaroslav Křivánek. 2016. Adaptive Direct Illumination Sampling. In SIGGRAPH ASIA 2016 Posters (SA ’16). ACM, New York, NY, USA, Article 43, 2 pages.
Bruce Walter, Sebastian Fernandez, Adam Arbree, Kavita Bala, Michael Donikian, and Donald P. Greenberg. 2005. Lightcuts: A Scalable Approach to Illumination. ACM Trans. Graph. 24, 3 (July 2005), 1098–1107.
