2020
DOI: 10.1145/3414685.3417811
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Slope-space integrals for specular next event estimation

Abstract: HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des labor… Show more

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Cited by 12 publications
(19 citation statements)
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References 43 publications
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“…In Figure 8, we compare the effectiveness of our method, path tracing, and biased SMS with equal time. We do not compare our method with SNEE [LZHJ20] in this context as it is designed for handling actual displacement geometry. Our method can achieve more SPP compared to the biased SMS method.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…In Figure 8, we compare the effectiveness of our method, path tracing, and biased SMS with equal time. We do not compare our method with SNEE [LZHJ20] in this context as it is designed for handling actual displacement geometry. Our method can achieve more SPP compared to the biased SMS method.…”
Section: Resultsmentioning
confidence: 99%
“…Recently, Jhang et al [JC22] proposed Specular Manifold Bisection Sampling (SMBS), which introduces a large mutation strategy to avoid the issue of converging to a local minimum in the SMS method. [LZHJ20] provides analytic expressions for predicting the total radiance resulting from a single reflective or refractive triangle with a microfacet BSDF. Building on this closed-form solution of a slope-space integral, SNEE achieves efficient caustics rendering, supporting surfaces ranging from ideally specular to near-specular and even highly rough materials.…”
Section: Caustics Renderingmentioning
confidence: 99%
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“…Koerner et al [KNK*16] introduce an additional vertex to allow for better sampling across a dielectric boundary after subsurface scattering. Specular next event estimation [LZHJ20] builds upon an effective parametrisation to construct a sampling data structure to handle specular and glossy light transport over one vertex. Weber et al [WHD17] create sub-paths with multiple vertices.…”
Section: Next Event Estimation (Nee)mentioning
confidence: 99%
“…Normal maps can be used to represent the microgeometry of glittery surfaces [Loubet et al 2020;Yan et al , 2016, but this implies high memory cost because a specific data structure for acceleration must be built from the normal map. Some works use procedural normal distribution functions (NDFs) [Atanasov and Koylazov 2016;Wang et al 2018] to reduce memory footprints and rendering time.…”
Section: Glint Renderingmentioning
confidence: 99%