Abstract | ||
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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 free-path 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. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1111/cgf.13383 | COMPUTER GRAPHICS FORUM |
Field | DocType | Volume |
Computer vision,Computing Methodologies,Monte Carlo method,Computer graphics (images),Computer science,Ray tracing (graphics),Artificial intelligence,Rendering (computer graphics),Computer graphics | Journal | 37.0 |
Issue | ISSN | Citations |
2.0 | 0167-7055 | 10 |
PageRank | References | Authors |
0.57 | 15 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jan Novák | 1 | 286 | 17.42 |
Iliyan Georgiev | 2 | 244 | 20.88 |
Johannes Hanika | 3 | 297 | 25.09 |
Wojciech Jarosz | 4 | 1041 | 60.39 |