In this repository, we present 3DAffordSplat, the first large-scale, multi-modal dataset tailored for 3DGS-based affordance reasoning. This dataset includes 23k Gaussian instances, 8k point cloud instances, and 6k manually annotated affordance labels, encompassing 21 object categories and 18 affordance types.
After downloading, the data structure should be as follows:
—Seen
├── train
│ ├── bag
│ │ ├── Gaussian
│ │ │ └── GS_0017.ply
│… See the full description on the dataset page:
https://huggingface.co/datasets/Weizm/AffordSplat.
