用四包围盒加速3D高斯点云渲染，提升实时新视角合成效率。
QuadBox: Accelerating 3D Gaussian Splatting with Geometry-Aware Boxes
- 用四个轴对齐包围盒离散封装投影高斯，紧贴椭圆投影范围。
- 提出单遍遍历算法QPass，仅用区间判断实现高效交集检测。
- 在公开数据集上渲染速度提升1.85倍，适合实时3D重建应用。
3D高斯点云（3DGS）通过可微分的高斯原语表示场景几何与外观，已成为实现实时新视角合成的先进技术。然而，在光栅化流水线中高效计算精确的高斯-瓦片交集仍是一大挑战。为此，我们提出QuadBox，该方法利用四个轴对齐包围盒以离散方式紧密封装投影后的高斯。首先，推导出一种几何感知拉伸因子，构建与瓦片对齐的QuadBox，覆盖椭圆投影并大幅排除无关瓦片。其次，引入QPass，一种单遍瓦片遍历算法，充分挖掘QuadBox的离散特性，仅通过简单区间测试即可完成交集检查。在公开数据集上的实验表明，该方法使3DGS渲染速度提升1.85倍。代码已开源。
原文摘要 · Abstract (English)
3D Gaussian Splatting (3DGS) has emerged as an advanced technique for real-time novel view synthesis by representing scene geometry and appearance using differentiable Gaussian primitives. However, efficiently computing precise Gaussian-tile intersections remains a critical task in the rasterization pipeline. To this end, we propose QuadBox, a method that leverages four axis-aligned bounding boxes to tightly encapsulate projected Gaussians in a discrete manner. First, we derive a geometry-aware stretching factor that enables the construction of a tile-aligned QuadBox, which covers the elliptical projection and largely excludes irrelevant tiles. Second, we introduce QPass, a single-pass tile traversal algorithm that exhaustively exploits the discrete nature of QuadBox, ensuring that the tile intersection check is performed with simple interval tests. Experiments on public datasets show that our method accelerates the rendering speed of 3DGS by 1.85$\times$. Code is available at \href{https://github.com/Powertony102/QuadBox}{https://github.com/Powertony102/QuadBox}.
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