AeroDGS：基于物理的动态高斯点溅技术用于单序列航空4D重建
AeroDGS: Physically Consistent Dynamic Gaussian Splatting for Single-Sequence Aerial 4D Reconstruction
AI总结：
AeroDGS通过物理引导的4D高斯点溅技术，解决单目无人机视频中动态物体的4D重建问题，提升重建精度与稳定性。
摘要：
近年来，4D场景重建的进展显著提升了动态建模在各领域的应用。然而，现有方法在航空条件下仍存在局限，特别是在单视角捕捉、宽广空间范围和有限空间足迹但大运动差异的动态物体情况下。这些挑战导致严重的深度模糊和不稳定的运动估计，使单目航空重建本质上是不合理的。为此，我们提出了AeroDGS，一种用于单目无人机视频的物理引导4D高斯点溅框架。AeroDGS引入了单目几何提升模块，从单一航空序列中重建可靠的静态和动态几何，为动态估计提供稳健的基础。为进一步解决单目模糊问题，我们提出了物理引导优化模块，该模块结合可微地面支持、垂直稳定性以及轨迹平滑性先验，将模糊的图像提示转化为物理一致的运动。该框架联合优化静态背景和动态实体，以稳定的几何和连贯的时间演变。我们还构建了一个覆盖各种海拔和运动条件的真实无人机数据集，以评估动态航空重建。在合成和真实无人机场景上的实验表明，AeroDGS优于现有最先进方法，在动态航空环境中实现了更优的重建保真度。
英文摘要：
Recent advances in 4D scene reconstruction have significantly improved dynamic modeling across various domains. However, existing approaches remain limited under aerial conditions with single-view capture, wide spatial range, and dynamic objects of limited spatial footprint and large motion disparity. These challenges cause severe depth ambiguity and unstable motion estimation, making monocular aerial reconstruction inherently ill-posed. To this end, we present AeroDGS, a physics-guided 4D Gaussian splatting framework for monocular UAV videos. AeroDGS introduces a Monocular Geometry Lifting module that reconstructs reliable static and dynamic geometry from a single aerial sequence, providing a robust basis for dynamic estimation. To further resolve monocular ambiguity, we propose a Physics-Guided Optimization module that incorporates differentiable ground-support, upright-stability, and trajectory-smoothness priors, transforming ambiguous image cues into physically consistent motion. The framework jointly refines static backgrounds and dynamic entities with stable geometry and coherent temporal evolution. We additionally build a real-world UAV dataset that spans various altitudes and motion conditions to evaluate dynamic aerial reconstruction. Experiments on synthetic and real UAV scenes demonstrate that AeroDGS outperforms state-of-the-art methods, achieving superior reconstruction fidelity in dynamic aerial environments.
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。
