Silvennoinen, AriSloan, Peter-PikeIwanicki, MichalNowrouzezahrai, DerekKnoll, AaronPeters, Christoph2025-06-202025-06-2020251467-8659https://doi.org/10.1111/cgf.70219https://diglib.eg.org/handle/10.1111/cgf70219We propose a high-performance and compact method for computing glossy specular reflections. Commonly-used prefiltered environment maps have large storage requirements and high error due to constrained treatment of view-dependence. We propose a factorized spherical harmonic exponential representation that exploits new observations of the benefits of log-space reconstruction for reflectance. Our method is compact, properly accounts for view-dependent reflections, and is more accurate than the state-of-the-industry solutions. We achieve higher quality results with an order of magnitude less memory, all with efficient and alias-free reconstruction of glossy reflections from environment lights and continuously-varying material roughness.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Rendering; Reflectance modelingComputing methodologies → RenderingReflectance modeling10.1111/cgf.7021911 pages