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Unbiased physically based rendering on the GPU

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These file attachments have been under embargo and were made available to the public after the embargo was lifted on 28 February 2011.

Author: Van Antwerpen, D.G.
Mentor: Jansen, F.W.
Faculty:Electrical Engineering, Mathematics and Computer Science
Department:Software Technology
Programme:Computer Graphics and CAD/CAM
Type:Master thesis
Date:2011-06-14
Embargo lifted:2011-02-28
Keywords: path tracing · bidirectional · energy redistribution · GPU · ERPT · PT · BDPT · CUDA
Rights: (c) 2011 Van Antwerpen, D.G.

Abstract

Since the introduction of General-Purpose GPU computing, significant increase has been made in performance for regular path tracing. However, more advanced versions of path tracing such as BiDirectional Path Tracing (BDPT) and Energy Redistribution Path Tracing (ERPT) have not been implemented successfully so far due to their stochastic sampling characteristics. The goal of this thesis is to find efficient GPU implementations for these unbiased physically based rendering methods. In this thesis improved streaming versions of these algorithms have been developed that better exploit ray coherence, reduce memory-footprint, and improve convergence, in order to make the algorithms more feasible for the GPU. The performance of the GPU versions is compared with the CPU versions and it is shown that the convergence characteristics of the original methods are preserved in our GPU implementations, while the processing has been speeded up with an order of magnitude.

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