Ensemble metropolis light transport
| Autor: | Thomas Bashford-Rogers, Luís Paulo Santos, Demetris Marnerides, Kurt Debattista |
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| Přispěvatelé: | Universidade do Minho |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| ISSN: | 0730-0301 1557-7368 |
| Popis: | This article 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. We would like to thank the reviewers for their helpful comments and feedback. We also thank Benedikt Bitterli for the DOOR AJAR and CORNELL BOX scenes, SlykDrako for the BEDROOM, Jay-Artist for KITCHEN, NovaZeeke for CLASSROOM, Wig42 for STAIRCASE and BREAKFAST ROOM, Frank Meinl for the SPONZA scene, and Benedikt Bitterli for making these scenes available [Bitterli 2016]. |
| Databáze: | OpenAIRE |
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