Research indexJournal article
Multiple scattering using machine learning
Xie, Kaplanyan, Hunt and 1 other
28 Jul 2019
NobleIDark:/48914/w1/20260524/F07FEDAFDOI10.1145/3306307.3328144
Multiple scattering using machine learning
Xie, Kaplanyan, Hunt and 1 other · 2019 · Subscription
NobleIDark:/48914/w1/20260524/F07FEDAFDOI10.1145/3306307.3328144
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Abstract
Microfacet-based reflection models are widely used in visual effects applications ranging from computer games to animation and feature film rendering. However, the standard microfacet BRDF supports single scattering only. Light that is scattered more than once is not accounted for, which can lead to significant energy loss. As physically based rendering becoming more prevalent in production, the lack of energy preservation has become problematic. This has lead to several recent works on multiple scattering. Heitz et al. [2016] presented a volumetric approach to model multiple scattering accurately but its stochastic evaluation increases variance. Xie and Hanrahan [2018] presented an analytical multiple scattering model that is efficient but has a singularity in the direction of mirror reflection.