| --- |
| language: |
| - en |
| size_categories: |
| - 10K<n<100K |
| ArXiv: |
| - https://arxiv.org/abs/2504.11218 |
| --- |
| |
| <!-- Provide a quick summary of the dataset. --> |
|
|
| 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. |
|
|
| # Dataset Structure |
|
|
| After downloading, the data structure should be as follows: |
| ``` |
| —Seen |
| ├── train |
| │ ├── bag |
| │ │ ├── Gaussian |
| │ │ │ └── GS_0017.ply |
| │ │ │ ...... |
| │ │ ├── PointCloud |
| │ │ │ └── PC_0001.ply |
| │ │ │ ...... |
| │ │ ├── contain |
| │ │ │ ├── GS_anno_0017.ply |
| │ │ │ ├── PC_anno_0001.json |
| │ │ │ ...... |
| │ │ └── grasp |
| │ │ ...... |
| │ └── bed |
| │ ...... |
| │ |
| ├── val |
| │ ├── bag |
| │ │ ├── Gaussian |
| │ │ │ └── GS_0009.ply |
| │ │ │ ...... |
| │ │ ├── contain |
| │ │ │ └── GS_anno_0009.ply |
| │ │ │ ...... |
| │ │ └── grasp |
| │ │ ...... |
| │ └── bed |
| │ ...... |
| │ |
| └── test |
| ├── bag |
| │ ├── Gaussian |
| │ │ └── GS_0001.ply |
| │ │ ...... |
| │ ├── contain |
| │ │ └── GS_anno_0001.ply |
| │ │ ...... |
| │ └── grasp |
| │ ...... |
| └── bed |
| ...... |
| |
| —Affordance-Question.csv |
| —obj_aff_structure.json |
| —UnSeen_test.json |
| —UnSeen_train.json |
| ``` |
|
|
| # Dataset Details |
| For more information on detailed statistics and the methodology of AffordSplat, please refer to the following resources: |
| - **Repository:** [Github Repository](https://github.com/HCPLab-SYSU/3DAffordSplat) |
| - **Paper:** [3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians](https://arxiv.org/abs/2504.11218) |
| <!-- - **Demo [optional]:** [More Information Needed] --> |
|
|
| Additionally, we sincerely thank Guantian Liu, Yao Xiao, Xinyu Li, Kecheng Liang and Yipeng Ouyang for their contributions. |
|
|
| # Contact |
| This project is for research purpose only, please contact us for the licence of commercial use. For any other questions please contact (weizm6@mail2.sysu.edu.cn, linjy279@mail2.sysu.edu.cn or liuy856@mail.sysu.edu.cn). |
|
|
| # Citation |
| If you use this data, please cite our paper. |
| ``` |
| @misc{wei20253daffordsplatefficientaffordancereasoning, |
| title={3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians}, |
| author={Zeming wei and Junyi Lin and Yang Liu and Weixing Chen and Jingzhou Luo and Guanbin Li and Liang Lin}, |
| year={2025}, |
| eprint={2504.11218}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2504.11218}, |
| } |
| ``` |
|
|
|
|
| # Acknowledgement |
| The construction of AffordSplat dataset is based on [3DAffordanceNet](https://github.com/Gorilla-Lab-SCUT/AffordanceNet), [LASO](https://github.com/yl3800/laso) and [ShapeSplat](https://huggingface.co/datasets/ShapeSplats/ModelNet_Splats). We sincerely thank them for their contributions to the community. |
|
|
