3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting
Zhe Jun Tang, Tat-Jen Cham

TL;DR
The paper introduces 3iGS, a novel method that improves 3D Gaussian Splatting by factorising illumination and BRDF features, resulting in more realistic view-dependent effects without sacrificing speed.
Contribution
It proposes a tensorial factorisation approach to model local illumination and BRDF features, enhancing rendering quality of specular effects in 3D Gaussian Splatting.
Findings
Significantly improves view-dependent rendering quality.
Maintains rapid training and rendering speeds.
Enhances specular effects in 3D Gaussian Splatting.
Abstract
The use of 3D Gaussians as representation of radiance fields has enabled high quality novel view synthesis at real-time rendering speed. However, the choice of optimising the outgoing radiance of each Gaussian independently as spherical harmonics results in unsatisfactory view dependent effects. In response to these limitations, our work, Factorised Tensorial Illumination for 3D Gaussian Splatting, or 3iGS, improves upon 3D Gaussian Splatting (3DGS) rendering quality. Instead of optimising a single outgoing radiance parameter, 3iGS enhances 3DGS view-dependent effects by expressing the outgoing radiance as a function of a local illumination field and Bidirectional Reflectance Distribution Function (BRDF) features. We optimise a continuous incident illumination field through a Tensorial Factorisation representation, while separately fine-tuning the BRDF features of each 3D Gaussian…
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Taxonomy
TopicsOptical measurement and interference techniques · Industrial Vision Systems and Defect Detection · Advanced Optical Sensing Technologies
