Hash-based hierarchical caching and layered filtering for interactive previews in global illumination rendering

Hash-based hierarchical caching and layered filtering for interactive previews in global illumination rendering

Roth, Thorsten (Bonn-Rhein-Sieg University of Applied Sciences; Brunel University)
Weier, Martin (Bonn-Rhein-Sieg University of Applied Sciences; Saarland University)
Bauszat, P. (TU Delft Comp Graphics & Visualisation)
Hinkenjann, André (Bonn-Rhein-Sieg University of Applied Sciences)
Li, Yongmin (Brunel University)

2020

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.

Caching
Global illumination
Level-of-detail
Ray tracing
Rendering

http://resolver.tudelft.nl/uuid:35cb6849-574c-4a31-8b56-678655124203

https://doi.org/10.3390/computers9010017

0097-8485

Computers & Chemistry, 9 (1)

Institutional Repository

journal article

© 2020 Thorsten Roth, Martin Weier, P. Bauszat, André Hinkenjann, Yongmin Li