PolGS: Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction
This work addresses the challenge of reconstructing reflective surfaces for real-time virtual reality applications, representing an incremental improvement over existing 3D Gaussian Splatting methods.
The paper tackles the problem of efficient shape reconstruction for surfaces with complex reflectance properties, proposing PolGS to achieve fast reflective surface reconstruction in 10 minutes with enhanced quality by integrating polarimetric constraints into the 3D Gaussian Splatting framework.
Efficient shape reconstruction for surfaces with complex reflectance properties is crucial for real-time virtual reality. While 3D Gaussian Splatting (3DGS)-based methods offer fast novel view rendering by leveraging their explicit surface representation, their reconstruction quality lags behind that of implicit neural representations, particularly in the case of recovering surfaces with complex reflective reflectance. To address these problems, we propose PolGS, a Polarimetric Gaussian Splatting model allowing fast reflective surface reconstruction in 10 minutes. By integrating polarimetric constraints into the 3DGS framework, PolGS effectively separates specular and diffuse components, enhancing reconstruction quality for challenging reflective materials. Experimental results on the synthetic and real-world dataset validate the effectiveness of our method.