Importance Sampling of BCSDF Derivatives

dc.contributor.authorWang, Leien_US
dc.contributor.authorIwasaki, Keien_US
dc.contributor.editorCeylan, Duyguen_US
dc.contributor.editorLi, Tzu-Maoen_US
dc.date.accessioned2025-05-09T09:35:14Z
dc.date.available2025-05-09T09:35:14Z
dc.date.issued2025
dc.description.abstractDifferentiable rendering requires the development of importance sampling for derivative functions with respect to the parameters. While importance sampling for Bidirectional Reflectance Distribution Function derivative has been proposed in recent years, no methods have been introduced for the derivatives of Bidirectional Curve Scattering Distribution Function (BCSDF). To bridge this gap, we propose an importance sampling method for the derivatives of the BCSDF using positivization [BXB∗24]. Our BCSDF derivative importance sampling method achieves up to 94% reduction in RMSE for eqaul-time rendering.en_US
dc.description.sectionheadersShort Paper 1
dc.description.seriesinformationEurographics 2025 - Short Papers
dc.identifier.doi10.2312/egs.20251033
dc.identifier.isbn978-3-03868-268-4
dc.identifier.issn1017-4656
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20251033
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egs20251033
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Rendering
dc.subjectComputing methodologies → Rendering
dc.titleImportance Sampling of BCSDF Derivativesen_US
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