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首页> 外文期刊>ACM Transactions on Graphics >Robust Light Transport Simulation via Metropolised Bidirectional Estimators
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Robust Light Transport Simulation via Metropolised Bidirectional Estimators

机译:通过大都会双向估计器进行稳健的光传输模拟

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摘要

Efficiently simulating light transport in various scenes with a singlernalgorithm is a difficult and important problem in computer graphics.rnTwo major issues have been shown to hinder the efficiency ofrnthe existing solutions: light transport due to multiple highly glossyrnor specular interactions, and scenes with complex visibility betweenrnthe camera and light sources. While recent bidirectional path samplingrnmethods such as vertex connection and merging/unified pathrnsampling (VCM/UPS) efficiently deal with highly glossy or specularrntransport, they tend to perform poorly in scenes with complexrnvisibility. On the other hand, Markov chain Monte Carlo (MCMC)rnmethods have been able to show some excellent results in scenesrnwith complex visibility, but they behave unpredictably in scenesrnwith glossy or specular surfaces due to their fundamental issue ofrnsample correlation. In this paper, we show how to fuse the underlyingrnkey ideas behind VCM/UPS and MCMC into a single,rnefficient light transport solution. Our algorithm is specifically designedrnto retain the advantages of both approaches, while alleviatingrntheir limitations. Our experiments show that the algorithm canrnefficiently render scenes with both highly glossy or specular materialsrnand complex visibility, without compromising the performancernin simpler cases.
机译:在计算机图形学中,使用单一算法有效地模拟各种场景中的光传输是一个困难而重要的问题。已显示出两个主要问题阻碍了现有解决方案的效率:由于多个高度光泽的镜面相互作用而导致的光传输,以及场景之间具有复杂可见性的场景相机和光源。虽然最近的双向路径采样方法(例如顶点连接和合并/统一路径采样(VCM / UPS))有效地处理了高度有光泽或镜面反射的传输,但它们在具有复杂可见性的场景中往往表现不佳。另一方面,马尔可夫链蒙特卡洛(MCMC)方法已经能够在具有复杂可见性的场景中显示出一些出色的结果,但是由于它们与样本相关性的根本问题,它们在具有光泽或镜面表面的场景中表现出不可预测的行为。在本文中,我们展示了如何将VCM / UPS和MCMC背后的基本思想融合到一个单一的,高效的光传输解决方案中。我们的算法经过专门设计,既保留了这两种方法的优点,又减轻了它们的局限性。我们的实验表明,该算法可以高效渲染具有高光泽或镜面材质的场景以及复杂的可见性,而不会在较简单的情况下降低性能。

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