The Library
Ensemble metropolis light transport
Tools
Tools
Tools
Bashford-Rogers, Thomas, Santos, Luís Paulo, Marnerides, Demetris and Debattista, Kurt (2022) Ensemble metropolis light transport. ACM Transactions on Graphics, 41 (1). pp. 1-15. doi:10.1145/3472294 ISSN 0730-0301.
|
PDF
WRAP-ensemble-metropolis-light-transport-Debattista-2021.pdf - Accepted Version - Requires a PDF viewer. Download (42Mb) | Preview |
Official URL: https://doi.org/10.1145/3472294
Abstract
This paper proposes a Markov Chain Monte Carlo (MCMC) rendering algorithm based on a family of guided transition kernels. The kernels exploit properties of ensembles of light transport paths, which are distributed according to the lighting in the scene, and utilize this information to make informed decisions for guiding local path sampling. Critically, our approach does not require caching distributions in world space, saving time and memory, yet it is able to make guided sampling decisions based on whole paths. We show how this can be implemented efficiently by organizing the paths in each ensemble and designing transition kernels for MCMC rendering based on a carefully chosen subset of paths from the ensemble. This algorithm is easy to parallelize and leads to improvements in variance when rendering a variety of scenes.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics T Technology > T Technology (General) |
||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
| Library of Congress Subject Headings (LCSH): | Markov processes , Monte Carlo method , Computer graphics, Computer science -- Mathematics, Rendering (Computer graphics), Ray tracing algorithms | ||||||||
| Journal or Publication Title: | ACM Transactions on Graphics | ||||||||
| Publisher: | Association for Computing Machinery | ||||||||
| ISSN: | 0730-0301 | ||||||||
| Official Date: | February 2022 | ||||||||
| Dates: |
|
||||||||
| Volume: | 41 | ||||||||
| Number: | 1 | ||||||||
| Page Range: | pp. 1-15 | ||||||||
| DOI: | 10.1145/3472294 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | © ACM, 2021. 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 41(1), Feb 2021 http://doi.acm.org/10.1145/3472294 | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Copyright Holders: | Copyright © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM. | ||||||||
| Date of first compliant deposit: | 2 September 2021 | ||||||||
| Date of first compliant Open Access: | 19 January 2022 | ||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
