光线追踪有损压缩网格原语

Carsten Benthin, K. Vaidyanathan, Sven Woop
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引用次数: 2

摘要

我们提出了一种新的水密几何表示,用于以高效记忆的方式对高度复杂的场景进行光线跟踪。场景中的多边形网格首先被转换成压缩的网格原语,用一个带有量化位移向量的基本双线性贴片表示。然后通过有效地实时解压缩这些网格并与隐式三角形相交来计算光线-场景相交。对于组合几何和加速结构,我们的表示只需要每个三角形5.4 - 6.6字节,与索引三角形网格相比,内存占用减少了5 - 7倍。这在渲染时间增加不到15%的情况下实现。CCS概念•计算方法→光线追踪;可见性;大规模并行算法;
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Ray Tracing Lossy Compressed Grid Primitives
We propose a new watertight representation of geometry for ray tracing highly complex scenes in a memory efficient manner. Polygon meshes in the scene are first converted into compressed grid primitives, which are represented by a base bilinear patch with quantized displacement vectors. Ray-scene intersections are then computed by efficiently decompressing these grids onthe-fly and intersecting the implicit triangles. Our representation requires just 5.4− 6.6 bytes per triangle for the combined geometry and acceleration structure, resulting in a 5−7× reduction in memory footprint compared to indexed triangle meshes. This is achieved with less than 15% increase in rendering time. CCS Concepts • Computing methodologies → Ray tracing; Visibility; Massively parallel algorithms;
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