Volume Path Guiding Based on Zero-Variance Random Walk Theory
Autor: | Jaroslav Křivánek, Yangyang Zhao, Sebastian Herholz, Derek Nowrouzezahrai, Oskar Elek, Hendrik P. A. Lensch |
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Rok vydání: | 2019 |
Předmět: |
Roulette
Scattering Computer science Monte Carlo method Sampling (statistics) 020207 software engineering Context (language use) 02 engineering and technology Random walk Computer Graphics and Computer-Aided Design Path (graph theory) 0202 electrical engineering electronic engineering information engineering Radiance 020201 artificial intelligence & image processing Algorithm Importance sampling |
Zdroj: | ACM Transactions on Graphics. 38:1-19 |
ISSN: | 1557-7368 0730-0301 |
Popis: | The efficiency of Monte Carlo methods, commonly used to render participating media, is directly linked to the manner in which random sampling decisions are made during path construction. Notably, path construction is influenced by scattering direction and distance sampling, Russian roulette, and splitting strategies. We present a consistent suite of volumetric path construction techniques where all these sampling decisions are guided by a cached estimate of the adjoint transport solution . The proposed strategy is based on the theory of zero-variance path sampling schemes, accounting for the spatial and directional variation in volumetric transport. Our key technical contribution, enabling the use of this approach in the context of volume light transport, is a novel guiding strategy for sampling the particle collision distance proportionally to the product of transmittance and the adjoint transport solution (e.g., in-scattered radiance). Furthermore, scattering directions are likewise sampled according to the product of the phase function and the incident radiance estimate. Combined with guided Russian roulette and splitting strategies tailored to volumes, we demonstrate about an order-of-magnitude error reduction compared to standard unidirectional methods. Consequently, our approach can render scenes otherwise intractable for such methods, while still retaining their simplicity (compared to, e.g., bidirectional methods). |
Databáze: | OpenAIRE |
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