Moving Basis Decomposition for Precomputed Light Transport

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Date
2021
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Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
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.
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@article{
10.1111:cgf.14346
, journal = {Computer Graphics Forum}, title = {{
Moving Basis Decomposition for Precomputed Light Transport
}}, author = {
Silvennoinen, Ari
and
Sloan, Peter-Pike
}, year = {
2021
}, publisher = {
The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.14346
} }
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