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Inverse Rendering of Translucent Objects with Shape-Adaptive Importance Sampling
- Son, Jooeun;
- Jung, Yucheol;
- Lee, Gyeongmin;
- Kim, Soongjin;
- Lee, Joo Ho;
- 외 1명
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0초록
Subsurface scattering is ubiquitous in organic materials and has been widely researched in computer graphics. Inverse rendering of subsurface scattering, however, is often constrained by the planar geometry assumption of traditional analytic Bidirectional Surface Scattering Reflectance Distribution Functions (BSSRDF). To address this issue, a shape-adaptive BSSRDF model has been proposed to render translucent objects on curved geometry with high accuracy. In this paper, we leverage this model to estimate parameters of subsurface scattering for inverse rendering. We compute the finite difference of the rendering equation for subsurface scattering and iteratively update material parameters. We demonstrate the performance of our shapea-daptive inverse rendering model by analyzing the estimation accuracy and comparing to inverse rendering with plane-based BSSRDF models and volumetric methods.
- 제목
- Inverse Rendering of Translucent Objects with Shape-Adaptive Importance Sampling
- 저자
- Son, Jooeun; Jung, Yucheol; Lee, Gyeongmin; Kim, Soongjin; Lee, Joo Ho; Lee, Seungyong
- 발행일
- 2024
- 유형
- Proceedings Paper
- 저널명
- 32ND PACIFIC CONFERENCE ON COMPUTER GRAPHICS AND APPLICATIONS, PACIFIC GRAPHICS 2024