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首页> 外文期刊>Computers & Graphics >Parallel and adaptive visibility sampling for rendering dynamic scenes with spatially varying reflectance
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Parallel and adaptive visibility sampling for rendering dynamic scenes with spatially varying reflectance

机译：并行和自适应可见性采样，用于渲染具有变化的反射率的动态场景

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摘要

Fast rendering of dynamic scenes with natural illumination, all-frequency shadows and spatially varying reflections is important but challenging. One main difficulty brought by moving objects is that the runtime visibility update of dynamic occlusion is usually time-consuming and slow. In this paper, we present a new visibility sampling technique and show that efficient all-frequency rendering of dynamic scenes can be achieved by sampling visibility of dynamic objects in an adaptive and parallel way. First, we propose a two-level adaptive sampling scheme to distribute sample points spatially and compute visibility maps angularly on each sample point. Then, we present a parallel hemispherical distance transform to convert these visibility maps into spherical signed distance fields. Finally, using such a distance-based visibility representation, we integrate our visibility sampling algorithm in the all-frequency rendering framework for scenes with spatially varying BRDFs. With an entire GPU-based implementation, our algorithm enables interactive all-frequency rendering of moderate dynamic scenes with environment lighting and spatially varying reflectance.
机译：具有自然照明，全频阴影和空间变化反射的动态场景的快速渲染很重要，但是具有挑战性。移动对象带来的一个主要困难是动态遮挡的运行时可见性更新通常是耗时且缓慢的。在本文中，我们提出了一种新的可见性采样技术，并表明通过以自适应和并行方式对动态对象的可见性进行采样，可以实现动态场景的高效全频渲染。首先，我们提出了一种两级自适应采样方案，以在空间上分配采样点并在每个采样点上按角度计算可见性图。然后，我们提出了一个平行的半球距离变换，以将这些可见性图转换为球形有符号距离场。最后，使用这种基于距离的可见性表示，我们将可见性采样算法集成到具有空间变化的BRDF的场景的全频渲染框架中。通过基于GPU的整个实现，我们的算法可以在环境照明和空间变化反射率的情况下，对中等动态场景进行交互式全频率渲染。

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