@inproceedings{5400af5df1fb486da1afef16086da288,
title = "Refraction Rendering with Spectral Interval Sampling",
abstract = "The Monte Carlo rendering method requires sampling an additional spectral domain to produce advanced light phenomena like chromatic dispersion. However, this extension can lead to chromatic noise and slow convergence, which can be partially addressed through proper sample distribution. In this paper, we introduce a multiple wavelength sampling method that focuses on refractive dispersion effects for a single path. By combining the idea of line sampling used in direct illumination with the specular chain's property, we find a continuous solution space that we call the spectral interval. We then perform an analytical integration for incoming spectral radiance within this interval. This allows us to achieve low variance and reduced noise at a lower cost compared to naive sampling methods. Finally, our method can be integrated into existing Monte Carlo methods built within path space.",
keywords = "Ray tracing, Rendering, Spectral",
author = "Ching Pan and Fei Lee and Chang, \{Chun Fa\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th International Conference on Applied System Innovation, ICASI 2023 ; Conference date: 21-04-2023 Through 25-04-2023",
year = "2023",
doi = "10.1109/ICASI57738.2023.10179594",
language = "English",
series = "2023 9th International Conference on Applied System Innovation, ICASI 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "163--165",
editor = "Shoou-Jinn Chang and Sheng-Joue Young and Lam, \{Artde Donald Kin-Tak\} and Liang-Wen Ji and Prior, \{Stephen D.\}",
booktitle = "2023 9th International Conference on Applied System Innovation, ICASI 2023",
}