用3D高斯点云实现高效实时三维重建与渲染。
From Volume Rendering to 3D Gaussian Splatting: Theory and Applications
- 将场景建模为3D高斯分布，通过点渲染实现快速可视化。
- 支持实时新视角合成，但存在内存占用高、光照耦合等问题。
- 适合需要快速生成与前馈处理的三维内容应用。
从带姿态图像进行三维重建的问题正因3D高斯点云（3DGS）的持续发展而发生根本性转变。3DGS通过显式建模场景为3D高斯点的集合，利用体素点绘制实现高效光栅化，从而无缝集成到常规图形管线中。尽管其具备实时新视角合成能力，但3DGS仍存在内存占用高、易将光照信息直接烘焙进表示、对二次光线效应支持有限等缺陷。本教程系统概述了3DGS的完整流程，从点绘制公式出发，探讨了针对其局限性的主要改进工作。最后，我们综述了3DGS在表面重建、虚拟角色建模、动画与内容生成中的广泛应用，凸显其高效渲染特性和对前馈式流水线的良好适应性。
原文摘要 · Abstract (English)
The problem of 3D reconstruction from posed images is undergoing a fundamental transformation, driven by continuous advances in 3D Gaussian Splatting (3DGS). By modeling scenes explicitly as collections of 3D Gaussians, 3DGS enables efficient rasterization through volumetric splatting, offering thus a seamless integration with common graphics pipelines. Despite its real-time rendering capabilities for novel view synthesis, 3DGS suffers from a high memory footprint, the tendency to bake lighting effects directly into its representation, and limited support for secondary-ray effects. This tutorial provides a concise yet comprehensive overview of the 3DGS pipeline, starting from its splatting formulation and then exploring the main efforts in addressing its limitations. Finally, we survey a range of applications that leverage 3DGS for surface reconstruction, avatar modeling, animation, and content generation-highlighting its efficient rendering and suitability for feed-forward pipelines.
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