Hardware accelerated ray tracing for diffusion curves
M.J. Zeilstra (TU Delft - Electrical Engineering, Mathematics and Computer Science)
A.D. Parakkat – Mentor (TU Delft - Computer Graphics and Visualisation)
Elmar Eisemann – Graduation committee member (TU Delft - Computer Graphics and Visualisation)
Alan Hanjalic – Coach (TU Delft - Intelligent Systems)
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GitHub repo for the project code
https://github.com/MikaZeilstra/RaytracingDiffusionCurvesOther than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
This paper accelerates the rendering of diffusion curves using the ray tracing cores found on modern NVIDIA graphics cards using the method described by Bowers et al. [Bowers, Leahey and Wang 2011]. This method approximates the final result of the Poisson equation and in this paper is accelerated using Optix and dedicated ray tracing hardware. Using this method yielded a render time decrease of around 8 times between the Quadro P1000 and RTX 2060, while retaining the complex colour gradients and ease of use of traditional diffusion curves solved using the Poisson equation.