Neural Radiance Caching variant speeds up specular lighting in real-time path tracing
ssh4net · x · 2026-10-09
A paper by Dmitrii Klepikov and Vladimir Frolov, Neural Caching of Prefiltered Radiance for Specular Lighting, adapts Neural Radiance Caching (NRC) for real-time path tracing of specular lighting.
- Method: uses a reflection-direction parameterization and a roughness-dependent radiance target; the network predicts prefiltered incoming radiance at individual surface points, combined with a precomputed BRDF integration map via the split-sum approximation to estimate outgoing radiance.
- Results: on Bunny and Specular Sponza, it converges faster to the accumulated path-tracing reference and improves specular-lighting quality over evaluated NRC baselines.
- Key trait: the online-trained method maintains real-time performance while adapting its cache.
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