Gradient-domain path tracing
Name
kettunen2015siggraph_paper.pdf
Description
Accepted version
Size
13.27 MB
Format
Adobe PDF
Checksum (MD5)
1e75acbe28614fde68841278b330fd88
Author(s)
Kettunen, Markus
Manzi, Marco
Aittala, Miika
Lehtinen, Jaakko
Durand, Frédo
Zwicker, Matthias
Date Issued
2015
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Kettunen, Markus, et al. "Gradient-Domain Path Tracing." Acm Transactions on Graphics 34 4 (2015).
Version
Author's final manuscript
Abstract
We introduce gradient-domain rendering for Monte Carlo image synthesis. While previous gradient-domain Metropolis Light Transport sought to distribute more samples in areas of high gradients, we show, in contrast, that estimating image gradients is also possible using standard (non-Metropolis) Monte Carlo algorithms, and furthermore, that even without changing the sample distribution, this often leads to significant error reduction. This broadens the applicability of gradient rendering considerably. To gain insight into the conditions under which gradient-domain sampling is beneficial, we present a frequency analysis that compares Monte Carlo sampling of gradients followed by Poisson reconstruction to traditional Monte Carlo sampling. Finally, we describe Gradient-Domain Path Tracing (G-PT), a relatively simple modification of the standard path tracing algorithm that can yield far superior results. Copyright is held by the owner/author(s). Publication rights licensed to ACM.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2766997
