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dc.contributor.authorTessari, Lorenzoen_US
dc.contributor.authorHanika, Johannesen_US
dc.contributor.authorDachsbacher, Carstenen_US
dc.contributor.authorDroske, Marcen_US
dc.contributor.editorDachsbacher, Carsten and Pharr, Matten_US
dc.date.accessioned2020-06-28T15:27:09Z
dc.date.available2020-06-28T15:27:09Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-117-5
dc.identifier.issn1727-3463
dc.identifier.urihttps://doi.org/10.2312/sr.20201132
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sr20201132
dc.description.abstractSpecular aliasing can make seemingly simple scenes notoriously hard to render efficiently: small geometric features with high curvature and near specular reflectance result in tiny lighting features which are difficult to resolve at low sample counts per pixel. LEAN and LEADR mapping can be used to convert geometric surface detail to anisotropic surface roughness in a preprocess. In scenes including fluid simulation this problem is particularly apparent with fast moving elements such as spray particles, which are typically represented as participating media in movie rendering. Both approaches, however, are only valid in the far-field regime where the geometric detail is much smaller than a pixel, while the challenge of resolving highlights remains in the meso-scale. Fast motion and the relatively long shutter intervals, commonly used in movie production, lead to strong variation of the surface normals seen under a pixel over time aggravating the problem. Recent specular anti aliasing approaches preintegrate geometric curvature under the pixel footprint for one specific ray to achieve noise free images at low sample counts. We extend these to anisotropic surface roughness and to account for the temporal surface normal variation due to motion blur. We use temporal derivatives to approximate the distribution of the surface normal seen under a pixel over the course of the shutter interval. Furthermore, we discuss how this can afterwards be combined with the surface BSDF in a practical way.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectRay tracing
dc.subjectReflectance modeling
dc.titleTemporal Normal Distribution Functionsen_US
dc.description.seriesinformationEurographics Symposium on Rendering - DL-only Track
dc.description.sectionheadersDenoising and Filtering
dc.identifier.doi10.2312/sr.20201132
dc.identifier.pages1-12


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