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The detailed glinty appearance from complex surface microstructures enhancesthe level of realism, but is both space- and time-consuming to render,especially when viewed from far away (large spatial coverage) and/orilluminated by area lights (large angular coverage). In this paper, weformulate the glinty appearance rendering process as a spatio-angular rangequery problem of the Normal Distribution Functions (NDFs), and introduce anefficient spatio-angular prefiltering solution to it. We start by exhaustivelyprecomputing all possible NDFs with differently sized positional coverages.Then we compress the precomputed data using tensor rank decomposition, whichenables accurate and fast angular range queries. With our spatio-angularprefiltering scheme, we are able to solve both the storage and performanceissues at the same time, leading to efficient rendering of glinty appearancewith both constant storage and constant performance, regardless of the range ofspatio-angular queries. Finally, we demonstrate that our method easily appliesto practical rendering applications that were traditionally considereddifficult. For example, efficient bidirectional reflection distributionfunction (BRDF) evaluation accurate NDF importance sampling, fast globalillumination between glinty objects, high-frequency preserving rendering withenvironment lighting, and tile-based synthesis of glinty appearance.

Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor Decomposition