Subsurface Scattering for Gaussian Splatting
–Neural Information Processing Systems
While 3D Gaussians efficiently approximate an object's surface, they fail to capture the volumetric properties of subsurface scattering. We propose a framework for optimizing an object's shape together with the radiance transfer field given multi-view OLAT (one light at a time) data. Our method decomposes the scene into an explicit surface represented as 3D Gaussians, with a spatially varying BRDF, and an implicit volumetric representation of the scattering component. A learned incident light field accounts for shadowing. Our approach enables material editing, relighting, and novel view synthesis at interactive rates.
Neural Information Processing Systems
Mar-17-2025, 21:38:36 GMT
- Country:
- North America > United States > Oklahoma > Beaver County (0.29)
- Technology:
- Information Technology > Artificial Intelligence > Vision (0.45)