具有样本消除的渐进光子映射

Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games Pub Date : 2016-02-27 DOI:10.1145/2856400.2876012

Chunmeng Kang, Lu Wang, Xiangxu Meng, Yanning Xu

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引用次数: 1

摘要

渐进式光子映射[Hachisuka et al. 2008] (PPM)通过渐进式可视化获得越来越精确的结果，但当结果经过数千次迭代获得时，就会出现问题。均匀的光子分布对精确的结果至关重要。在这项工作中，我们使用PPM中的样本消除[Yuksel 2015] (SE)来获得最优结果并加速迭代。样本消去可以产生具有更明显蓝噪声特征的样本集。我们将这种消去方法的特点应用于渐进式迭代。

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Progressive photon mapping with sample elimination

Progressive photon mapping [Hachisuka et al. 2008] (PPM) obtains increasingly accurate results with progressive visualization, but it is problematic when results are obtained through thousands of iterations. An uniform photon distribution is critical for the accurate result. In this work, we use the sample elimination [Yuksel 2015] (SE) in PPM to achieve optimal results and accelerate the iterations. Sample elimination can produce sample sets with more pronounced blue noise characteristics. We apply the feature of this elimination method to the progressive iterations.

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Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games

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