Gradient-domain Path Tracing

Kettunen, Markus; Manzi, Marco; Aittala, Miika; Lehtinen, Jaakko; Durand, Frédo; Zwicker, Matthias (2015). Gradient-domain Path Tracing. ACM transactions on graphics, 34(4), 123:1-123:13. Association for Computing Machinery 10.1145/2766997

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Computer Graphics Group (CGG)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Manzi, Marco and Zwicker, Matthias

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

0730-0301

Publisher:

Association for Computing Machinery

Funders:

[4] Swiss National Science Foundation

Projects:

[UNSPECIFIED] Efficient Sampling and Reconstruction for Image Synthesis 143886

Language:

English

Submitter:

Matthias Zwicker

Date Deposited:

08 Jun 2016 12:56

Last Modified:

26 Jun 2016 02:15

Publisher DOI:

10.1145/2766997

BORIS DOI:

10.7892/boris.81111

URI:

https://boris.unibe.ch/id/eprint/81111

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