ACM SIGGRAPH 2016 Talks 2016
DOI: 10.1145/2897839.2927391
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A practical stochastic algorithm for rendering mirror-like flakes

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Cited by 12 publications
(10 citation statements)
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“…They calculate the ratio between the number of facets correctly oriented and the total number of microfacets inside P. For all the previous cited methods, the accurate P-NDF estimation entails high computation cost and thus none of them is applicable to real-time rendering. Some methods [AK16,WWH18] improve performance, but still not sufficiently to permit high performance. Conversely, Zirr and Kaplanyan [ZK16] reach real-time performance by making use of a MIP hierarchy instead of a complex data structure.…”
Section: Previous Workmentioning
confidence: 99%
“…They calculate the ratio between the number of facets correctly oriented and the total number of microfacets inside P. For all the previous cited methods, the accurate P-NDF estimation entails high computation cost and thus none of them is applicable to real-time rendering. Some methods [AK16,WWH18] improve performance, but still not sufficiently to permit high performance. Conversely, Zirr and Kaplanyan [ZK16] reach real-time performance by making use of a MIP hierarchy instead of a complex data structure.…”
Section: Previous Workmentioning
confidence: 99%
“…Importance sampling is also not optimal, as non-contributing reflectors may inadvertently be sampled. The extension proposed by Atanasov and Koylazov [AK16] alleviates this issue, at the price of going through all the flakes falling into a footprint, which is inefficient. Other works concentrate on improving performance [WWH18].…”
Section: Glint Integratorsmentioning
confidence: 99%
“…To our knowledge, no other method has such a simple and efficient sampling procedure. Other methods either disregard the observation direction when sampling the patch [YHJ * 14, JHY * 14, YHMR16,CCM18], or need to walk through all normals if they want to do it [AK16] (Figure 8), which is inefficient.…”
Section: Importance Sampling the Patch-brdfmentioning
confidence: 99%
“…Atanasov et al [AK16] improve this work for faster computations and heavy-tailed microfacet distributions.…”
Section: Glint Renderingmentioning
confidence: 99%