EON: A practical energy-preserving rough diffuse BRDF
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866918265502040064 |
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| author | Portsmouth, Jamie Kutz, Peter Hill, Stephen |
| author_facet | Portsmouth, Jamie Kutz, Peter Hill, Stephen |
| contents | We introduce the "Energy-preserving Oren--Nayar" (EON) model for reflection from rough surfaces. Unlike the popular qualitative Oren--Nayar model (QON) and its variants, our model is energy-preserving via analytical energy compensation. We include self-contained GLSL source code for efficient evaluation of the new model and importance sampling based on a novel technique we term "Clipped Linearly Transformed Cosine" (CLTC) sampling. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_18026 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | EON: A practical energy-preserving rough diffuse BRDF Portsmouth, Jamie Kutz, Peter Hill, Stephen Graphics We introduce the "Energy-preserving Oren--Nayar" (EON) model for reflection from rough surfaces. Unlike the popular qualitative Oren--Nayar model (QON) and its variants, our model is energy-preserving via analytical energy compensation. We include self-contained GLSL source code for efficient evaluation of the new model and importance sampling based on a novel technique we term "Clipped Linearly Transformed Cosine" (CLTC) sampling. |
| title | EON: A practical energy-preserving rough diffuse BRDF |
| topic | Graphics |
| url | https://arxiv.org/abs/2410.18026 |