10分钟内快速重建复杂反光表面，提升3D高斯点云精度
PolGS: Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction
- 在3D高斯点云中引入偏振约束，分离镜面与漫反射成分
- 合成与真实数据集上均实现高质量反光表面重建
- 适合需要实时虚拟现实的动态场景建模应用
针对复杂反射材质的高效形状重建对实时虚拟现实至关重要。尽管基于3D高斯点云（3DGS）的方法通过显式表面表示实现了快速新视角渲染，但在恢复具有复杂反射特性的表面时，其重建质量仍落后于隐式神经表示。为此，我们提出PolGS——一种偏振高斯点云模型，可在10分钟内完成快速反射表面重建。通过将偏振约束融入3DGS框架，PolGS有效分离镜面与漫反射分量，显著提升挑战性反射材料的重建质量。在合成数据集和真实世界数据集上的实验结果验证了该方法的有效性。
原文摘要 · Abstract (English)
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.
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