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    Hash-based Hierarchical Caching for Interactive Previews in Global Illumination Rendering

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    Date
    2019
    Author
    Roth, Thorsten
    Weier, Martin ORCID
    Bauszat, Pablo
    Hinkenjann, André ORCID
    Li, Yongmin
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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.
    BibTeX
    @inproceedings {10.2312:cgvc.20191261,
    booktitle = {Computer Graphics and Visual Computing (CGVC)},
    editor = {Vidal, Franck P. and Tam, Gary K. L. and Roberts, Jonathan C.},
    title = {{Hash-based Hierarchical Caching for Interactive Previews in Global Illumination Rendering}},
    author = {Roth, Thorsten and Weier, Martin and Bauszat, Pablo and Hinkenjann, André and Li, Yongmin},
    year = {2019},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-096-3},
    DOI = {10.2312/cgvc.20191261}
    }
    URI
    https://doi.org/10.2312/cgvc.20191261
    https://diglib.eg.org:443/handle/10.2312/cgvc20191261
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA