AI RESEARCH
PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
arXiv CS.CV
•
ArXi:2510.20155v3 Announce Type: replace Understanding objects at the level of their constituent parts is fundamental to advancing computer vision, graphics, and robotics. While datasets like PartNet have driven progress in 3D part understanding, their reliance on untextured geometries and expert-dependent annotation limits scalability and usability. We