Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Hash-Based Hierarchical Caching and Layered Filtering for Interactive Previews in Global Illumination Rendering

Version 1 : Received: 20 January 2020 / Approved: 22 January 2020 / Online: 22 January 2020 (02:18:05 CET)

A peer-reviewed article of this Preprint also exists.

Roth, T.; Weier, M.; Bauszat, P.; Hinkenjann, A.; Li, Y. Hash-Based Hierarchical Caching and Layered Filtering for Interactive Previews in Global Illumination Rendering. Computers 2020, 9, 17. Roth, T.; Weier, M.; Bauszat, P.; Hinkenjann, A.; Li, Y. Hash-Based Hierarchical Caching and Layered Filtering for Interactive Previews in Global Illumination Rendering. Computers 2020, 9, 17.

Journal reference: Computers 2020, 9, 17
DOI: 10.3390/computers9010017

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.

Subject Areas

global illumination; rendering; filtering; caching; Level-of-Detail

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