Monte Carlo Methods for Volumetric Light Transport Simulation
Jan Novák, Iliyan Georgiev, Johannes Hanika, Wojciech Jarosz
Computer Graphics Forum (presented at EUROGRAPHICS 2018 - State of the Art Rep.), vol. 37, no. 2

Losses and gains of radiance due to absorption (a), scattering (b, c), and emission (d) within a differential volume element.
abstract
The wide adoption of path-tracing algorithms in high-end realistic rendering has stimulated many diverse research initiatives. In this paper we present a coherent survey of methods that utilize Monte Carlo integration for estimating light transport in scenes containing participating media. Our work complements the volume-rendering state-of-the-art report by Cerezo et al. [CPP∗05]; we review publications accumulated since its publication over a decade ago, and include earlier methods that are key for building light transport paths in a stochastic manner. We begin by describing analog and non-analog procedures for freepath sampling and discuss various expected-value, collision, and track-length estimators for computing transmittance. We then review the various rendering algorithms that employ these as building blocks for path sampling. Special attention is devoted to null-collision methods that utilize fictitious matter to handle spatially varying densities; we import two “next-flight” estimators originally developed in nuclear sciences. Whenever possible, we draw connections between image-synthesis techniques and methods from particle physics and neutron transport to provide the reader with a broader context.
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publication
presentation
1. Introduction (Wojciech)
2. Fundamentals (Jan), PDF (8MB)
2. Fundamentals (Jan)
3. Distance sampling (Jan), PDF (30MB)
3. Distance sampling (Jan)
4.1 Transmittance estimation (Wojciech), PDF (7MB)
4.1 Transmittance estimation (Wojciech)
4.2 Transmittance estimation using null-collision algorithms (Jan), PDF (7MB)
4.2 Transmittance estimation using null-collision algorithms (Jan)
5. Path construction (Iliyan), PDF (20MB)
5. Path construction (Iliyan)
6.1 Advanced methods (Wojciech), PDF (13MB)
6.1 Advanced methods (Wojciech)
6.2 Advanced methods & acceleration data structures (Johannes), PDF (20MB)
citation
bibtex
@article{Novak18volumeSTAR, author = {Nov\'ak, Jan and Georgiev, Iliyan and Hanika, Johannes and Jarosz, Wojciech}, title = {{M}onte {C}arlo Methods for Volumetric Light Transport Simulation}, journal = {Computer Graphics Forum (Proceedings of Eurographics - State of the Art Reports)}, volume = 37, number = 2, month = may, year = 2018 }