Practical product sampling for single scattering in media
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.
Downloads and links
- paper (PDF, 14 MB)
- supplemental document (PDF)
- slides – from the conference presentation (PPTX, 19 MB)
- slides – from the conference presentation (PDF, 1.8 MB)
- code – reference implementation (in Rust)
- talk video – YouTube
- citation (BIB)
Media
Talk video
BibTeX reference
@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},
year = {2021},
month = jun,
publisher = {The Eurographics Association}
}