PolGS:用于快速反射表面重建的偏振高斯溅射
PolGS: Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction
AI总结:
针对复杂反射表面重建质量差和速度慢的问题,提出偏振高斯溅射模型PolGS,通过偏振约束分离镜面与漫反射,实现10分钟内的快速高质量重建。
摘要:
对于具有复杂反射特性的表面进行高效形状重建,对于实时虚拟现实至关重要。虽然基于3D高斯溅射(3DGS)的方法通过利用其显式表面表示能够实现快速的新视角渲染,但其重建质量落后于隐式神经表示,尤其是在恢复具有复杂反射特性的表面时。为解决这些问题,我们提出了PolGS,一种偏振高斯溅射模型,可在10分钟内实现快速反射表面重建。通过将偏振约束集成到3DGS框架中,PolGS有效分离镜面反射和漫反射分量,提升了具有挑战性的反射材料的重建质量。在合成和真实世界数据集上的实验结果验证了我们方法的有效性。
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。