Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering

1University of Bern 2Disney Research Zürich 3Aalto University and NVIDIA 4KAIST 5UC San Diego 6UC Santa Barbara 7INRIA Rhône-Alpes

In Computer Graphics Forum (Proceedings of Eurographics), 2015


Monte Carlo integration is firmly established as the basis for most practical realistic image synthesis algorithms because of its flexibility and generality. However, the visual quality of rendered images often suffers from estimator variance, which appears as visually distracting noise. Adaptive sampling and reconstruction algorithms reduce variance by controlling the sampling density and aggregating samples in a reconstruction step, possibly over large image regions. In this paper we survey recent advances in this area. We distinguish between “a priori” methods that analyze the light transport equations and derive sampling rates and reconstruction filters from this analysis, and “a posteriori” methods that apply statistical techniques to sets of samples to drive the adaptive sampling and reconstruction process. They typically estimate the errors of several reconstruction filters, and select the best filter locally to minimize error. We discuss advantages and disadvantages of recent state-of-the-art techniques, and provide visual and quantitative comparisons. Some of these techniques are proving useful in real-world applications, and we aim to provide an overview for practitioners and researchers to assess these approaches. In addition, we discuss directions for potential further improvements.


Text Reference

Matthias Zwicker, Wojciech Jarosz, Jaakko Lehtinen, Bochang Moon, Ravi Ramamoorthi, Fabrice Rousselle, Pradeep Sen, Cyril Soler, Sung-Eui Yoon. Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering. Computer Graphics Forum (Proceedings of Eurographics), 34(2):667–681, May 2015.

BibTex Reference

    author = "Zwicker, Matthias and Jarosz, Wojciech and Lehtinen, Jaakko and Moon, Bochang and Ramamoorthi, Ravi and Rousselle, Fabrice and Sen, Pradeep and Soler, Cyril and Yoon, Sung-Eui",
    title = "Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering",
    journal = "Computer Graphics Forum (Proceedings of Eurographics)",
    volume = "34",
    number = "2",
    month = "May",
    year = "2015",
    DOI = "10.1111/cgf.12592",
    pages = "667–681",
    keywords = "denoising, NL-means, bilateral filtering, joint filtering, gradients, hessians, derivatives, frequency analysis"

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