Importance Sampling of the Micrograin Visible NDF

dc.contributor.authorLucas, Simonen_US
dc.contributor.authorPacanowski, Romainen_US
dc.contributor.authorBarla, Pascalen_US
dc.contributor.editorWang, Beibeien_US
dc.contributor.editorWilkie, Alexanderen_US
dc.date.accessioned2025-06-20T07:54:18Z
dc.date.available2025-06-20T07:54:18Z
dc.date.issued2025
dc.description.abstractImportance sampling of visible normal distribution functions (vNDF) is a required ingredient for the efficient rendering of microfacet-based materials. In this paper, we explain how to sample the vNDF for the micrograin material model [LRPB23], which has been recently improved to handle height-normal correlations through a new Geometric Attenuation Factor (GAF) [LRPB24], leading to a stronger impact on appearance compared to the earlier Smith approximation. To this end, we make two contributions: we derive analytic expressions for the marginal and conditional cumulative distribution functions (CDFs) of the vNDF; we provide efficient methods for inverting these CDFs based respectively on a 2D lookup table and on the triangle-cut method [Hei20].en_US
dc.description.number4
dc.description.sectionheadersSampling and Guiding
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70174
dc.identifier.issn1467-8659
dc.identifier.pages10 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70174
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70174
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Reflectance modeling
dc.subjectComputing methodologies → Reflectance modeling
dc.titleImportance Sampling of the Micrograin Visible NDFen_US
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