ShapeNetCore is a subset of the full ShapeNet dataset with single clean 3D models and manually verified category and alignment annotations. It covers 55 common object categories with about 51,300 unique 3D models. The 12 object categories of PASCAL 3D+, a popular computer vision 3D benchmark dataset, are all covered by ShapeNetCore.
Variants: ShapeNetCore
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Single-View 3D Reconstruction | DISN | DISN: Deep Implicit Surface Network … | 2019-05-26 |
| Single-View 3D Reconstruction | OccNet | DISN: Deep Implicit Surface Network … | 2019-05-26 |
| Single-View 3D Reconstruction | IMNET | DISN: Deep Implicit Surface Network … | 2019-05-26 |
| Single-View 3D Reconstruction | 3DN | DISN: Deep Implicit Surface Network … | 2019-05-26 |
| Single-View 3D Reconstruction | Pxl2mesh | DISN: Deep Implicit Surface Network … | 2019-05-26 |
| Single-View 3D Reconstruction | AtlasNet | DISN: Deep Implicit Surface Network … | 2019-05-26 |
Recent papers with results on this dataset: