We study the problem of efficient representation of potentially high-dimensional, spatially coherent signals in the context of precomputed light transport. We present a basis decomposition framework, Moving Basis Decomposition (MBD), that generalizes many existing basis expansion methods and enables high-performance, seamless reconstruction of compressed data. We develop an algorithm for solving large-scale MBD problems. We evaluate MBD against state-of-the-art in a series of controlled experiments and describe a real-world application, where MBD serves as the backbone of a scalable global illumination system powering multiple, current and upcoming 60Hz AAA-titles running on a wide range of hardware platforms.

中文翻译：

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预计算光传输的移动基分解

我们研究了在预先计算的光传输的背景下有效表示潜在高维、空间相干信号的问题。我们提出了一个基分解框架，即移动基分解 (MBD)，它概括了许多现有的基扩展方法，并能够对压缩数据进行高性能、无缝的重建。我们开发了一种用于解决大规模 MBD 问题的算法。我们在一系列受控实验中根据最先进的技术评估 MBD 并描述了一个真实世界的应用程序，其中 MBD 作为可扩展全局照明系统的支柱，为多个、当前和即将推出的 60Hz AAA 游戏提供动力。广泛的硬件平台。