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PolGS: Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction

Published: September 24, 2025 | arXiv ID: 2509.19726v1

By: Yufei Han , Bowen Tie , Heng Guo and more

Potential Business Impact:

Makes 3D models of shiny things faster.

Business Areas:
Geospatial Data and Analytics, Navigation and Mapping

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.

Country of Origin
🇨🇳 China

Page Count
10 pages

Category
Computer Science:
CV and Pattern Recognition