GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jan-26-2024
- Country:
- Asia
- Middle East > Republic of Türkiye
- Ankara Province > Ankara (0.04)
- İzmir Province > İzmir (0.05)
- Russia (0.04)
- Middle East > Republic of Türkiye
- Europe
- Finland > Uusimaa
- Helsinki (0.04)
- France > Auvergne-Rhône-Alpes
- Italy > Veneto
- Venice (0.04)
- Russia > Northwestern Federal District
- Leningrad Oblast > Saint Petersburg (0.04)
- Spain > Aragón
- Zaragoza Province > Zaragoza (0.04)
- Switzerland > Lucerne
- Lucerne (0.04)
- United Kingdom > England
- Greater London > London (0.04)
- North Yorkshire > Middlesbrough (0.04)
- Somerset > Bath (0.04)
- Finland > Uusimaa
- North America > United States
- New York > New York County > New York City (0.05)
- Asia
- Genre:
- Research Report (0.64)
- Technology: