同时重建手部与非刚性物体交互的3D形态，兼顾物理合理性。
PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions
- 基于手部运动驱动物体物理模拟，实现真实形变建模。
- 在重建与未来预测任务中超越现有最佳方法。
- 适合研究人机交互、虚拟试衣等需高精度形变模拟场景。
现有手-物体交互重建方法多聚焦于刚体或分段刚体物体，难以建模布料、填充玩具等高度非刚性物体；或仅建模可变形物体而未完整恢复3D手部结构。为此，我们提出PhysHanDI（基于物理的手-可变形物体交互重建框架），实现交互手部与非刚性物体的完整3D重建。核心思想是利用密集重建的3D手部运动产生的力场，驱动物体物理模拟，确保重建的物体动态既符合物理规律，又与手部动作一致。此外，我们证明该物体形变模拟可通过逆向物理过程反向优化手部重建。实验表明，PhysHanDI在重建精度和未来预测性能上均优于当前最优基线方法。
原文摘要 · Abstract (English)
While existing methods for reconstructing hand-object interactions have made impressive progress, they either focus on rigid or part-wise rigid objects-limiting their ability to model real-world objects (e.g., cloth, stuffed animals) that exhibit highly non-rigid deformations-or model deformable objects without full 3D hand reconstruction. To bridge this gap, we present PhysHanDI (Physics-based Reconstruction of Hand and Deformable Object Interactions), a framework that enables full 3D reconstruction of both interacting hands and non-rigid objects. Our key idea is to physically simulate object deformations driven by forces induced from densely reconstructed 3D hand motions, ensuring that the reconstructed object dynamics are both physically plausible and coherent with the interacting hand movements. Furthermore, we demonstrate that such simulation of object deformations can, in turn, refine and improve hand reconstruction via inverse physics. In experiments, PhysHanDI outperforms the state-of-the-art baseline across reconstruction and future prediction.
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