Image-space control variates for rendering
| Autor: | Wojciech Jarosz, Fabrice Rousselle, Jan Novák |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Pixel ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Estimator 020207 software engineering 02 engineering and technology Iterative reconstruction Poisson distribution Control variates 01 natural sciences Computer Graphics and Computer-Aided Design Rendering (computer graphics) 010104 statistics & probability symbols.namesake Unbiased rendering 0202 electrical engineering electronic engineering information engineering symbols Monte Carlo integration 0101 mathematics Algorithm ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | ACM Transactions on Graphics. 35:1-12 |
| ISSN: | 1557-7368 0730-0301 |
| DOI: | 10.1145/2980179.2982443 |
| Popis: | We explore the theory of integration with control variates in the context of rendering. Our goal is to optimally combine multiple estimators using their covariances. We focus on two applications, re-rendering and gradient-domain rendering, where we exploit coherence between temporally and spatially adjacent pixels. We propose an image-space (iterative) reconstruction scheme that employs control variates to reduce variance. We show that recent works on scene editing and gradient-domain rendering can be directly formulated as control-variate estimators, despite using seemingly different approaches. In particular, we demonstrate the conceptual equivalence of screened Poisson image reconstruction and our iterative reconstruction scheme. Our composite estimators offer practical and simple solutions that improve upon the current state of the art for the two investigated applications. |
| Databáze: | OpenAIRE |
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