Explore In-Context Learning for 3D Point Cloud Understanding

Understand

With the rise of large-scale models trained on broad data, in-context learning has become a new learning paradigm that has demonstrated significant potential in natural language processing and computer vision tasks.

• Meanwhile, in-context learning is still largely unexplored in the 3D point cloud domain.
• Although masked modeling has been successfully applied for in-context learning in 2D vision, directly extending it to 3D point clouds remains a formidable challenge.
• In the case of point clouds, the tokens themselves are the point cloud positions (coordinates) that are masked during inference.