PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

CVPR 2019 Kaichun MoShilin ZhuAngel X. ChangLi YiSubarna TripathiLeonidas J. GuibasHao Su

We present PartNet: a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information. Our dataset consists of 573,585 part instances over 26,671 3D models covering 24 object categories... (read more)

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