A multi‐pass method for accelerated spectral sampling. (27th November 2021)

• Record Type: Journal Article
• Authors: van de Ruit, M.; Eisemann, E.
• Is Part Of: Computer graphics forum. Volume 40:Number 7(2021)
• Page Start: 141
• Page End: 148
• Publication Date: 2021-11-27
• Subjects: CCS Concepts -- Computing methodologies → Ray tracing; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14408
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: 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.