用投影几何提升远距离物体重建，实现近远景统一高质量渲染
HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting
- 将齐次坐标引入3D高斯溅射框架，利用投影几何处理远距离对象
- 远距离物体渲染精度显著提升，近处物体质量与实时渲染速度不变
- 适合大规模户外场景重建，兼顾精度与效率
新视角合成近年来取得显著进展，3D高斯溅射（3DGS）具备训练高效和实时逼真渲染的优势。然而，依赖笛卡尔坐标的3DGS在远距离物体重建上表现受限，难以应对无限延伸的户外环境。我们发现，在3DGS流程中引入投影几何中的齐次坐标这一极简设计，可显著提升远距离物体的渲染精度。为此，我们提出齐次高斯溅射（HoGS），将齐次坐标融入3DGS框架，实现近距与远距物体的统一表征。通过采用投影几何原理，HoGS有效管理大尺度空间位置与尺度变化，尤其适用于无界户外场景。实验表明，HoGS在保持近处物体高质量渲染和快速训练速度的同时，显著提升了远距离物体的重建精度，并支持实时渲染。代码已公开于项目主页 https://kh129.github.io/hogs/。
原文摘要 · Abstract (English)
Novel view synthesis has demonstrated impressive progress recently, with 3D Gaussian splatting (3DGS) offering efficient training time and photorealistic real-time rendering. However, reliance on Cartesian coordinates limits 3DGS's performance on distant objects, which is important for reconstructing unbounded outdoor environments. We found that, despite its ultimate simplicity, using homogeneous coordinates, a concept on the projective geometry, for the 3DGS pipeline remarkably improves the rendering accuracies of distant objects. We therefore propose Homogeneous Gaussian Splatting (HoGS) incorporating homogeneous coordinates into the 3DGS framework, providing a unified representation for enhancing near and distant objects. HoGS effectively manages both expansive spatial positions and scales particularly in outdoor unbounded environments by adopting projective geometry principles. Experiments show that HoGS significantly enhances accuracy in reconstructing distant objects while maintaining high-quality rendering of nearby objects, along with fast training speed and real-time rendering capability. Our implementations are available on our project page https://kh129.github.io/hogs/.
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