40-Issue 7
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Browsing 40-Issue 7 by Author "Eisemann, Elmar"
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Item Geometric Sample Reweighting for Monte Carlo Integration(The Eurographics Association and John Wiley & Sons Ltd., 2021) Guo, Jerry Jinfeng; Eisemann, Elmar; Zhang, Fang-Lue and Eisemann, Elmar and Singh, KaranNumerical integration is fundamental in multiple Monte Carlo rendering problems. We present a sample reweighting scheme, including underlying theory, and analysis of numerical performance for the integration of an unknown one-dimensional function. Our method is simple to implement and builds upon the insight to link the weights to a function reconstruction process during integration. We provide proof that our solution is unbiased in one-dimensional cases and consistent in multi-dimensional cases. We illustrate its effectiveness in several use cases.Item A Multi-pass Method for Accelerated Spectral Sampling(The Eurographics Association and John Wiley & Sons Ltd., 2021) Ruit, Mark van de; Eisemann, Elmar; Zhang, Fang-Lue and Eisemann, Elmar and Singh, KaranSpectral Monte Carlo rendering can simulate advanced light phenomena, such as chromatic dispersion, but typically shows a slow convergence behavior. Properly sampling the spectral domain can be challenging in scenes with many complex spectral distributions. To this end, we propose a multi-pass approach. We build and store coarse screen-space estimates of incident spectral radiance and use these to then importance sample the spectral domain. Hereby, we lower variance and reduce noise with little overhead. Our method handles challenging scenarios with difficult spectral distributions, many different emitters, and participating media. Finally, it can be integrated into existing spectral rendering methods for an additional acceleration.Item Pacific Graphics 2021 - CGF 40-7: Frontmatter(The Eurographics Association and John Wiley & Sons Ltd., 2021) Zhang, Fang-Lue; Eisemann, Elmar; Singh, Karan; Zhang, Fang-Lue and Eisemann, Elmar and Singh, Karan