Hash-based hierarchical caching and layered filtering for interactive previews in global illumination rendering
Thorsten Roth (Brunel University, Bonn-Rhein-Sieg University of Applied Sciences)
Martin Weier (Bonn-Rhein-Sieg University of Applied Sciences, Saarland University)
Pablo Bauszat (TU Delft - Computer Graphics and Visualisation)
André Hinkenjann (Bonn-Rhein-Sieg University of Applied Sciences)
Yongmin Li (Brunel University)
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Abstract
Modern Monte-Carlo-based rendering systems still suffer from the computational complexity involved in the generation of noise-free images, making it challenging to synthesize interactive previews. We present a framework suited for rendering such previews of static scenes using a caching technique that builds upon a linkless octree. Our approach allows for memory-efficient storage and constant-time lookup to cache diffuse illumination at multiple hitpoints along the traced paths. Non-diffuse surfaces are dealt with in a hybrid way in order to reconstruct view-dependent illumination while maintaining interactive frame rates. By evaluating the visual fidelity against ground truth sequences and by benchmarking, we show that our approach compares well to low-noise path-traced results, but with a greatly reduced computational complexity, allowing for interactive frame rates. This way, our caching technique provides a useful tool for global illumination previews and multi-view rendering.
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