Practical Product Sampling For Single Scattering In Media

Keven Villeneuve*, SEED -- Electronic Arts, Canada
Adrien Gruson*, McGill University, Canada
Iliyan Georgiev, Autodesk, United Kingdom
Derek Nowrouzezahrai, McGill University, Canada
In EGSR - Digital Library Only Track, 2021.
(*Authors with equal contribution)

Abstract

Efficient Monte-Carlo estimation of volumetric single scattering remains challenging due to various sources of variance, including transmittance, phase-function anisotropy, geometric cosine foreshortening, and squared-distance fall-off. We propose several complementary techniques to importance sample each of these terms and their product. First, we introduce an extension to equi-angular sampling to analytically account for the foreshortening at point-normal emitters. We then include transmittance and phase function via Taylor-series expansion and/or warp composition. Scaling to complex mesh emitters is achieved through an adaptive tree-splitting scheme. We show improved performance over state-of-the-art baselines in a diversity of scenarios.

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@article{Villeneuve:2021:VolumeProductSampling,
  author = {Keven Villeneuve and Adrien Gruson and Iliyan Georgiev and Derek Nowrouzezahrai},
  title = {Practical product sampling for single scattering in media},
  booktitle = {Proceedings of EGSR - Digital Library Only Track},
  year = {2021},
  month = jun,
  publisher = {The Eurographics Association},
  DOI = {10.2312/sr.20211290}
}
							

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