3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes Mahmoud Ahmed 1 Xiang Li1 Arpit Prajapati 2 Mohamed Elhoseiny

Neural Information Processing Systems 

Current datasets for part-level 3D object understanding encompass a limited range of categories. For instance, the ShapeNet-Part and PartNet datasets only include 16, and 24 object categories respectively.

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