Unifying Points, Beams, and Paths in Volumetric Light Transport Simulation

1Charles University, Prague 2Light Transportation Ltd. 3Aarhus University 4Université de Montréal 5Disney Research Zürich

In ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2014



Efficiently computing light transport in participating media in a manner that is robust to variations in media density, scattering albedo, and anisotropy is a difficult and important problem in realistic image synthesis. While many specialized rendering techniques can efficiently resolve subsets of transport in specific media, no single approach can robustly handle all types of effects. To address this problem we unify volumetric density estimation, using point and beam estimators, and Monte Carlo solutions to the path integral formulation of the rendering and radiative transport equations. We extend multiple importance sampling to correctly handle combinations of these fundamentally different classes of estimators. This, in turn, allows us to develop a single rendering algorithm that correctly combines the benefits and mediates the limitations of these powerful volume rendering techniques.


Text Reference

Jaroslav Křivánek, Iliyan Georgiev, Toshiya Hachisuka, Petr Vévoda, Martin Šik, Derek Nowrouzezahrai, Wojciech Jarosz. Unifying Points, Beams, and Paths in Volumetric Light Transport Simulation. ACM Transactions on Graphics (Proceedings of SIGGRAPH), 33(4), July 2014.

BibTex Reference

    author = "Křivánek, Jaroslav and Georgiev, Iliyan and Hachisuka, Toshiya and Vévoda, Petr and Šik, Martin and Nowrouzezahrai, Derek and Jarosz, Wojciech",
    title = "Unifying Points, Beams, and Paths in Volumetric Light Transport Simulation",
    journal = "ACM Transactions on Graphics (Proceedings of SIGGRAPH)",
    volume = "33",
    number = "4",
    year = "2014",
    month = "July",
    doi = "10.1145/2601097.2601219",
    keywords = "photon beams, virtual ray lights, VRLs, path tracing, bidirectional path tracing, VCM, UPS, vertex connection and merging, unified path space, density estimation"

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