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Open AccessArticle

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

Institute of Visual Computing, Bonn-Rhein-Sieg University of Applied Sciences, 53757 Sankt Augustin, Germany
Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, UK
Computer Graphics Lab, Saarland University; 66123 Saarbrucken, Germany
Department of Intelligent Systems, Delft University of Technology, 2628 CD Delft, The Netherlands
Author to whom correspondence should be addressed.
Computers 2020, 9(1), 17;
Received: 20 January 2020 / Revised: 15 February 2020 / Accepted: 27 February 2020 / Published: 4 March 2020
(This article belongs to the Special Issue Computer Graphics & Visual Computing (CGVC 2019))
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. View Full-Text
Keywords: ray tracing; global illumination; level-of-detail; caching; rendering ray tracing; global illumination; level-of-detail; caching; rendering
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Figure 1

  • Externally hosted supplementary file 1
    Doi: 10.5281/zenodo.3613655
    Description: Supplementary files including source coude, evaluation files and result renderings.
MDPI and ACS Style

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.

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