A multi‐pass method for accelerated spectral sampling

Spectral 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 appro...

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Bibliographic Details
Published in:Computer graphics forum 2021-10, Vol.40 (7), p.141-148
Main Authors: van de Ruit, M., Eisemann, E.
Format: Article
Language:English
Subjects:
CCS Concepts
Computing methodologies → Ray tracing
Domains
Emitters
Rendering
Sampling
Spectra
Spectral emittance
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Summary:Spectral 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.
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.14408