
doi: 10.1111/cgf.70174
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].
[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Computing methodologies, Reflectance modeling
[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Computing methodologies, Reflectance modeling
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