Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining

Yueh-Cheng Liu, Yu-Kai Huang, Hung-Yueh Chiang +5

Most 3D neural networks are trained from scratch owing to the lack of large-scale labeled 3D datasets. In this paper, we present a novel 3D pretraining method by leveraging 2D netw…