GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917576883306496 |
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| author | Yıldırım, Barış Kurt, Murat |
| author_facet | Yıldırım, Barış Kurt, Murat |
| contents | This paper presents a plugin that adds a representation of homogeneous and heterogeneous, optically thick, translucent materials on the Blender 3D modeling tool. The working principle of this plugin is based on a combination of Genetic Algorithm (GA) and Singular Value Decomposition (SVD)-based subsurface scattering method (GenSSS). The proposed plugin has been implemented using Mitsuba renderer, which is an open source rendering software. The proposed plugin has been validated on measured subsurface scattering data. It's shown that the proposed plugin visualizes homogeneous and heterogeneous subsurface scattering effects, accurately, compactly and computationally efficiently. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_15245 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation Yıldırım, Barış Kurt, Murat Graphics Artificial Intelligence Machine Learning Neural and Evolutionary Computing This paper presents a plugin that adds a representation of homogeneous and heterogeneous, optically thick, translucent materials on the Blender 3D modeling tool. The working principle of this plugin is based on a combination of Genetic Algorithm (GA) and Singular Value Decomposition (SVD)-based subsurface scattering method (GenSSS). The proposed plugin has been implemented using Mitsuba renderer, which is an open source rendering software. The proposed plugin has been validated on measured subsurface scattering data. It's shown that the proposed plugin visualizes homogeneous and heterogeneous subsurface scattering effects, accurately, compactly and computationally efficiently. |
| title | GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation |
| topic | Graphics Artificial Intelligence Machine Learning Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2401.15245 |