PartNet
Introduced by Mo et al. in PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
PartNet is a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information. The dataset consists of 573,585 part instances over 26,671 3D models covering 24 object categories. This dataset enables and serves as a catalyst for many tasks such as shape analysis, dynamic 3D scene modeling and simulation, affordance analysis, and others.
Source: PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object UnderstandingBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
PartNet
|
CSN
|
|||
|
PartNet
|
Semantic Segmentation-Assisted Instance Feature Fusion
|
|||
|
PartNet
|
Semantic Segmentation-Assisted Instance Feature Fusion
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
