A Hybrid Neural-Microfacet BRDF Model for Real-Time Rendering
Over the past decade, microfacet-based BRDF models have formed the foundation of real-time rendering pipelines. Despite their widespread use, they often fail to reproduce subtle appearance effects arising from complex light-surface interactions, which have led to the emergence of specialized physics-based models for specific optical phenomena (e.g., diffraction, iridescence, multilayers). Although more accurate, these models lose versatility and lack performance for real-time rendering. Recently introduced, neural models have demonstrated their ability to approximate BRDF reference data coming from measurements, simulations, or even complex shading networks. However, most current neural m...
| Authors | Louis De Oliveira, Anastasia Karpova, Georges Nader et al. |
|---|---|
| Primary category | cs.GR |
| Published | 10 August 2026 |
| Last updated at source | 10 August 2026 |
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