Temporal gradient-domain path tracing
Name
a246-manzi.pdf
Description
Published version
Size
27.91 MB
Format
Adobe PDF
Checksum (MD5)
7866917e276feeeaee444c4e78005d54
Author(s)
Manzi, Marco
Kettunen, Markus
Durand, Frédo
Zwicker, Matthias
Lehtinen, Jaakko
Date Issued
2016
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Manzi, Marco, et al. "Temporal Gradient-Domain Path Tracing." Acm Transactions on Graphics 35 6 (2016): 9.
Version
Final published version
Abstract
© 2016 Copyright held by the owner/author(s). We present a novel approach to improve temporal coherence in Monte Carlo renderings of animation sequences. Unlike other approaches that exploit temporal coherence in a post-process, our technique does so already during sampling. Building on previous gradient-domain rendering techniques that sample finite differences over the image plane, we introduce temporal finite differences and formulate a corresponding 3D spatio-temporal screened Poisson reconstruction problem that is solved over windowed batches of several frames simultaneously. We further extend our approach to include second order, mixed spatio-temporal differences, an improved technique to compute temporal differences exploiting motion vectors, and adaptive sampling. Our algorithm can be built on a gradient-domain path tracer without large modifications. In particular, we do not require the ability to evaluate animation paths over multiple frames. We demonstrate that our approach effectively reduces temporal flickering in animation sequences, significantly improving the visual quality compared to both path tracing and gradient-domain rendering of individual frames.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2980179.2980256
