TL;DR基于连续点卷积的新型 U-net 架构能够自然地嵌入 3D 坐标信息,并通过已建立的下采样和上采样过程进行多尺度的特征表示,从而有效地改进了基于神经网络的三维物体动态建模方法。
Abstract
Modeling object dynamics with a neural network is an important problem with
numerous applications. Most recent work has been based on graph neural
networks. However, physics happens in 3d space, where geometric i