Error estimation for many-light rendering with supersampling
Error estimation for many-light rendering with supersampling
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DOI：
10.1145/3283254.3283264
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发表时间：
2018-12
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影响因子：
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通讯作者：
H. Sakai;Kosuke Nabata;Shinya Yasuaki;Kei Iwasaki
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文献类型：
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作者：
H. Sakai;Kosuke Nabata;Shinya Yasuaki;Kei Iwasaki
多光渲染将各种视觉和照明效果(包括抗锯齿、景深、体积散射和次表面散射)的计算统一到来自许多虚拟点光源(VPL)的简单直接照明计算中。作为一种简单的方法，对大量VPL的直接光照求和计算代价很高，可扩展的方法对VPL进行聚类，并通过采样少量VPL来估计总和，以实现高效计算。虽然可伸缩方法已经获得了显著的加速，但它们由于聚类而无法控制误差，从而导致渲染图像中的噪声。在本文中，我们提出了一种方法，以提高对这种视觉和照明效果的多光渲染的估计精度。实验表明，该方法对各种视觉和光照效果的估计精度比前一种方法提高了2.3倍。
Many-light rendering unifies the computation of various visual and illumination effects, which include anti-aliasing, depth of field, volumetric scattering, and subsurface scattering, into a simple direct illumination computation from many virtual point lights (VPLs). As a naive approach that sums the direct illumination from a large number of VPLs is computationally expensive, scalable methods cluster VPLs and estimate the sum by sampling a small number of VPLs for efficient computation. Although scalable methods have achieved significant speed-ups, they cannot control the error owing to clustering, resulting in noise in the rendered images. In this paper, we propose a method to improve the estimation accuracy for many-light rendering of such visual and illumination effects. We demonstrate that our method can improve the estimation accuracy for various visual and illumination effects up to 2.3 times compared with the previous method.