BiGS: Bidirectional Primitives for Relightable 3D Gaussian Splatting

Liu Zhenyuan, Xinyuan Li, Yu Guo, Bernd Bickel, Ran Zhang

Keywords: Computer Graphics, Image-Based Rendering, Relighting, Gaussian Splatting

Abstract: We present BiGS, an image-based novel view synthesis technique designed to model and render 3D objects with surface and volumetric materials under dynamic illumination, achieving real-time relighting of 3D objects with the rasterization algorithm of Gaussian Splatting. Our method represents light- and view-dependent scattering via bidirectional spherical harmonics that does not use a specific surface normal-related reflectance function, making it more compatible with volumetric representations like Gaussian splatting, where the normals are undefined. We demonstrate our method by reconstructing and rendering objects with complex materials on synthetic and captured One-Light-At-a-Time (OLAT) datasets, showcasing various photorealistic appearances our method captures and the real-time performance.

Submission Number: 159