MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding

arXiv:2402.10002v1 Announce Type: new
Abstract: In perception, multiple sensory information is integrated to map visual information from 2D views onto 3D objects, which is beneficial for understanding in 3D environments. But in terms of a single 2D view rendered from different angles, only limited partial information can be provided.The richness and value of Multi-view 2D information can provide superior self-supervised signals for 3D objects. In this paper, we propose a novel self-supervised point cloud representation learning method, MM-Point, which is …

3d objects abstract arxiv cloud cs.ai cs.cv cs.mm environments information map modal multi-modal multiple objects perception sensory terms type understanding view visual