LAUSR

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.