Unbiased physically based rendering on the GPU
Unbiased physically based rendering on the GPU
复制标题
GPU 上基于物理的无偏渲染
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
D. V. Antwerpen
中科院分区：
文献类型：
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作者：
D. V. Antwerpen
自通用GPU计算引入以来，常规路径跟踪的性能有了显著提高。然而，更高级的路径跟踪方法，如双向路径跟踪（BDPT）和能量再分配路径跟踪（ERPT），由于其随机采样特性，迄今尚未成功实现。本文的目标是为这些无偏的基于物理的渲染方法找到有效的GPU实现。本文开发了这些算法的改进流版本，以更好地利用光线相干性，减少内存占用并提高收敛性，从而使算法更适合GPU。将GPU版本的性能与CPU版本的性能进行了比较，结果表明，我们的GPU实现保留了原始方法的收敛特性，同时处理速度提高了一个数量级。
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.
影响因子：
4.6
作者：
J. Xu
通讯作者：
J. Xu