用3D高斯表示表面，实现高效逼真的风动模拟。
Gaussian Swaying: Surface-Based Framework for Aerodynamic Simulation with 3D Gaussians
- 用3D高斯连续建模表面，避免网格生成和离散粒子依赖。
- 在合成与真实数据集上均达到顶尖性能与效率。
- 适合需要实时风动效果的视觉与图形应用。
树枝随风摆动、旗帜迎风翻卷、船只在水面摇晃，这些自然现象都体现了空气动力学对运动的影响，对视觉与图形领域的逼真性至关重要。本文提出基于3D高斯的表面型空气动力学模拟框架Gaussian Swaying。不同于需昂贵网格化的传统方法或依赖离散位置数据的粒子方法，Gaussian Swaying采用3D高斯连续建模表面，实现了高效且精细的空气动力交互。该框架将仿真与渲染统一于同一表征——高斯贴片，既支持动力学受力计算，又提供法向量用于轻量级着色。在多个合成与真实数据集上，通过多种指标的综合实验表明，Gaussian Swaying在性能与效率上均达到当前最优水平，为真实感空气动力场景模拟提供了可扩展的新路径。
原文摘要 · Abstract (English)
Branches swaying in the breeze, flags rippling in the wind, and boats rocking on the water all show how aerodynamics shape natural motion -- an effect crucial for realism in vision and graphics. In this paper, we present Gaussian Swaying, a surface-based framework for aerodynamic simulation using 3D Gaussians. Unlike mesh-based methods that require costly meshing, or particle-based approaches that rely on discrete positional data, Gaussian Swaying models surfaces continuously with 3D Gaussians, enabling efficient and fine-grained aerodynamic interaction. Our framework unifies simulation and rendering on the same representation: Gaussian patches, which support force computation for dynamics while simultaneously providing normals for lightweight shading. Comprehensive experiments on both synthetic and real-world datasets across multiple metrics demonstrate that Gaussian Swaying achieves state-of-the-art performance and efficiency, offering a scalable approach for realistic aerodynamic scene simulation.
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