Improved sampling for gradient-domain metropolis light transport

Manzi, Marco; Rousselle, Fabrice; Kettunen, Markus; Lehtinen, Jaakko; Zwicker, Matthias (2014). Improved sampling for gradient-domain metropolis light transport. ACM transactions on graphics, 33(6), pp. 1-12. Association for Computing Machinery 10.1145/2661229.2661291

[img]
Preview
Text
GMLT_SA14.pdf - Accepted Version
Available under License Publisher holds Copyright.
© ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Graphics, 33(6), http://doi.acm.org/10.1145/2661229.2661291

Download (9MB) | Preview
[img] Text
a178-manzi.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (10MB)

We present a generalized framework for gradient-domain Metropolis rendering, and introduce three techniques to reduce sampling artifacts and variance. The first one is a heuristic weighting strategy that combines several sampling techniques to avoid outliers.
The second one is an improved mapping to generate offset paths required for computing gradients. Here we leverage the properties of manifold walks in path space to cancel out singularities. Finally, the third technique introduces generalized screen space gradient kernels. This approach aligns the gradient kernels with image structures such as texture edges and geometric discontinuities to obtain sparser gradients than with the conventional gradient kernel. We implement our framework on top of an existing Metropolis sampler, and we demonstrate significant improvements in visual and numerical quality of our results compared to previous work.

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, Rousselle, Fabrice, Zwicker, Matthias

Subjects:

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

ISSN:

0730-0301

Publisher:

Association for Computing Machinery

Language:

English

Submitter:

Matthias Zwicker

Date Deposited:

19 Feb 2015 12:13

Last Modified:

05 Dec 2022 14:40

Publisher DOI:

10.1145/2661229.2661291

BORIS DOI:

10.7892/boris.63333

URI:

https://boris.unibe.ch/id/eprint/63333

Actions (login required)

Edit item Edit item
Provide Feedback