“Practical Caustics Rendering with Adaptive Photon Guiding” by Estevez and Kulla

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Entry Number: 17

Title:

    Practical Caustics Rendering with Adaptive Photon Guiding

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Abstract:


    We present a method for integrating surface and volume caustics in a production path tracer. We combine progressive photon mapping with photon guiding in an on-demand framework that avoids the overhead of general purpose bidirectional algorithms. We turn bias into noise during rendering to improve adaptive image refinement and denoising.

References:


    Brent Burley, David Adler, Matt Jen-Yuan Chiang, Hank Driskill, Ralf Habel, Patrick Kelly, Peter Kutz, Yining Karl Li, and Daniel Teece. 2018. The Design and Evolution of Disney’s Hyperion Renderer. ACM Trans. Graph. 37, 3, Article Article 33 (July 2018), 22 pages. https://doi.org/10.1145/3182159

    Jiří Vorba, Johannes Hanika, Sebastian Herholz, Thomas Müller, Jaroslav Křivánek, and Alexander Keller. 2019. Path Guiding in Production. In ACM SIGGRAPH 2019 Courses (SIGGRAPH ’19). ACM, Los Angeles, Article 18, 77 pages. https: //doi.org/10.1145/3305366.3328091

    Martin Šik and Jaroslav Krivánek. 2019. Implementing One-Click Caustics in Corona Renderer. In Eurographics Symposium on Rendering – DL-only and Industry Track, Tamy Boubekeur and Pradeep Sen (Eds.). The Eurographics Association, Genova. https://doi.org/10.2312/sr.20191221

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