Temporal light field reconstruction for rendering distribution effects
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Durand-Temporal light.pdf
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24.36 MB
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Author(s)
Lehtinen, Jaakko
Aila, Timo
Chen, Jiawen
Laine, Samuli
Durand, Fredo
Date Issued
July 2011
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Jaakko Lehtinen, Timo Aila, Jiawen Chen, Samuli Laine, and Frédo Durand. 2011. Temporal light field reconstruction for rendering distribution effects. ACM Transactions on Graphics 30, 4, Article 55 (July 2011), 12 pages.
Version
Author's final manuscript
Abstract
Traditionally, effects that require evaluating multidimensional integrals for each pixel, such as motion blur, depth of field, and soft shadows, suffer from noise due to the variance of the high-dimensional integrand. In this paper, we describe a general reconstruction technique that exploits the anisotropy in the temporal light field and permits efficient reuse of samples between pixels, multiplying the effective sampling rate by a large factor. We show that our technique can be applied in situations that are challenging or impossible for previous anisotropic reconstruction methods, and that it can yield good results with very sparse inputs. We demonstrate our method for simultaneous motion blur, depth of field, and soft shadows.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/1964921.1964950
