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dc.contributor.authorVilleneuve, Kevenen_US
dc.contributor.authorGruson, Adrienen_US
dc.contributor.authorGeorgiev, Iliyanen_US
dc.contributor.authorNowrouzezahrai, Dereken_US
dc.contributor.editorBousseau, Adrien and McGuire, Morganen_US
dc.date.accessioned2021-07-12T12:13:05Z
dc.date.available2021-07-12T12:13:05Z
dc.date.issued2021
dc.identifier.isbn978-3-03868-157-1
dc.identifier.issn1727-3463
dc.identifier.urihttps://doi.org/10.2312/sr.20211290
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sr20211290
dc.description.abstractEfficient 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.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies --> Rendering
dc.titlePractical Product Sampling for Single Scattering in Mediaen_US
dc.description.seriesinformationEurographics Symposium on Rendering - DL-only Track
dc.description.sectionheadersSampling
dc.identifier.doi10.2312/sr.20211290
dc.identifier.pages55-60


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