3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction
Shuaihang Yuan,Xiang Li,Anthony Tzes,Yi Fang,Shuaihang Yuan,Xiang Li,Anthony Tzes,Yi Fang
This paper deals with predicting future 3D motions of 3D object scans from the previous two consecutive frames. Previous methods mostly focus on sparse motion prediction in the form of skeletons. While in this paper, we focus on predicting dense 3D motions in the form of 3D point clouds. To approach this problem, we propose a self-supervised approach that leverages the power of the deep neural net...
