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--- |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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ArXiv: |
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- https://arxiv.org/abs/2504.11218 |
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--- |
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<!-- Provide a quick summary of the dataset. --> |
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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. |
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# Dataset Structure |
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After downloading, the data structure should be as follows: |
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``` |
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—Seen |
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├── train |
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│ ├── bag |
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│ │ ├── Gaussian |
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│ │ │ └── GS_0017.ply |
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│ │ │ ...... |
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│ │ ├── PointCloud |
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│ │ │ └── PC_0001.ply |
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│ │ │ ...... |
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│ │ ├── contain |
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│ │ │ ├── GS_anno_0017.ply |
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│ │ │ ├── PC_anno_0001.json |
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│ │ │ ...... |
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│ │ └── grasp |
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│ │ ...... |
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│ └── bed |
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│ ...... |
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│ |
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├── val |
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│ ├── bag |
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│ │ ├── Gaussian |
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│ │ │ └── GS_0009.ply |
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│ │ │ ...... |
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│ │ ├── contain |
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│ │ │ └── GS_anno_0009.ply |
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│ │ │ ...... |
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│ │ └── grasp |
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│ │ ...... |
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│ └── bed |
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│ ...... |
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│ |
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└── test |
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├── bag |
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│ ├── Gaussian |
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│ │ └── GS_0001.ply |
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│ │ ...... |
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│ ├── contain |
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│ │ └── GS_anno_0001.ply |
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│ │ ...... |
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│ └── grasp |
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│ ...... |
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└── bed |
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...... |
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—Affordance-Question.csv |
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—obj_aff_structure.json |
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—UnSeen_test.json |
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—UnSeen_train.json |
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``` |
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# Dataset Details |
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For more information on detailed statistics and the methodology of AffordSplat, please refer to the following resources: |
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- **Repository:** [Github Repository](https://github.com/HCPLab-SYSU/3DAffordSplat) |
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- **Paper:** [3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians](https://arxiv.org/abs/2504.11218) |
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<!-- - **Demo [optional]:** [More Information Needed] --> |
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Additionally, we sincerely thank Guantian Liu, Yao Xiao, Xinyu Li, Kecheng Liang and Yipeng Ouyang for their contributions. |
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# Contact |
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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). |
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# Citation |
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If you use this data, please cite our paper. |
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``` |
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@misc{wei20253daffordsplatefficientaffordancereasoning, |
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title={3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians}, |
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author={Zeming wei and Junyi Lin and Yang Liu and Weixing Chen and Jingzhou Luo and Guanbin Li and Liang Lin}, |
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year={2025}, |
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eprint={2504.11218}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2504.11218}, |
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} |
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``` |
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# Acknowledgement |
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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. |
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