Lelyakin, SergeySchüßler, VincentDachsbacher, CarstenGünther, TobiasMontazeri, Zahra2025-05-092025-05-092025978-3-03868-269-11017-4656https://doi.org/10.2312/egp.20251017https://diglib.eg.org/handle/10.2312/egp20251017Directional models in path guiding struggle with representing parallax effects or anisotropic features. Our model instead describes the spatial distribution of a target vertex using a 3D Gaussian mixture model. While this dispenses with the need for reprojection and allows to represent anisotropic features easily, its directional probability density is not readily available, since it involves a marginal integral. In this work, we derive an expression for the PDF of our model in solid angle measure that is practical to evaluate. We demonstrate how our model can improve guiding accuracy in various scenes.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Rendering; Ray tracingComputing methodologies → RenderingRay tracing10.2312/egp.202510172 pages