| --- |
| license: odc-by |
| language: |
| - en |
| viewer: false |
| --- |
| # ComAsset |
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|  |
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| ComAsset is the dataset of paper ["Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models"](https://huggingface.co/papers/2401.12978). |
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| The dataset consists of total 83 object meshes, collected from [SketchFab](https://sketchfab.com/). |
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| All of the meshes are converted to `.obj` format with image texture files. We manually canonicalize the objects in terms of location, orientation and scale. |
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| The format of the dataset is as follows: |
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| ``` |
| ComAsset |
| ├── data |
| │ ├── accordion # object category |
| │ │ └── wx75e99elm1yhyfxz1efg60luadp95sl # object id |
| │ │ ├── images # folder for texture files |
| │ │ ├── model.obj |
| │ │ └── model.mtl |
| │ ├── axe |
| │ ├── ... |
| │ └── watering can |
| └── categories.json |
| ``` |
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| In `categories.json`, you can check the existing object categories, along with the original data URL and the license information. |
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| # License |
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| ComAsset is licensed under the [ODC-By v1.0](https://opendatacommons.org/licenses/by/1-0/) license. |
| This license applies to the dataset as a whole, and users must also comply with the licenses of individual content. |
| The license of each content is specified in `categories.json`. |
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| # Loading Dataset |
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| ```python |
| from datasets import load_dataset |
| from huggingface_hub import snapshot_download |
| import trimesh |
| |
| snapshot_dir = snapshot_download(repo_id="SShowbiz/ComAsset", repo_type="dataset") |
| comasset = load_dataset("SShowbiz/ComAsset", data_files={"metadata": "**/metadata.json"}) |
| |
| with open(os.path.join(snapshot_dir, "categories.json"), "r") as json_file: objects = json.load(json_file) |
| categories = [object_metadata["category"] for object_metadata in objects] |
| |
| category, *_ = categories # first category |
| object_metadata, *_ = comasset['metadata'].filter(lambda example: example['category'] == category) # first object |
| |
| obj_path = os.path.join(snapshot_dir, object_metadata["obj_file"]) |
| mesh = trimesh.load(obj_path) |
| ``` |
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| # Citation |
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| To cite ComA, please use the following BibTeX entry: |
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| ```bibtex |
| @inproceedings{ComA, |
| title="Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models", |
| author="Kim, Hyeonwoo and Han, Sookwan and Kwon, Patrick and Joo, Hanbyul", |
| booktitle=ECCV, |
| year={2024} |
| } |
| ``` |
