Point-In-Context: Understanding Point Cloud via In-Context Learning

arXiv:2404.12352v1 Announce Type: new
Abstract: With the emergence of large-scale models trained on diverse datasets, in-context learning has emerged as a promising paradigm for multitasking, notably in natural language processing and image processing. However, its application in 3D point cloud tasks remains largely unexplored. In this work, we introduce Point-In-Context (PIC), a novel framework for 3D point cloud understanding via in-context learning. We address the technical challenge of effectively extending masked point modeling to 3D point clouds by introducing a …

abstract application arxiv cloud context cs.cv datasets diverse emergence however image image processing in-context learning language language processing large-scale models multitasking natural natural language natural language processing novel paradigm processing scale tasks type understanding via work