Qian-Fang Zou

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

We propose an unsupervised method for learning a generic and efficient shape encoding network for different shape analysis tasks. Our key idea is to jointly encode and learn shape and point features from unlabeled 3D point clouds. For this purpose, we adapt HRNet to octree-based convolutional neural…