--- license: mit task_categories: - image-to-3d tags: - hand model - 3d reconstruction - mano - synthetic - textures - accessories size_categories: - 100K

DART: Articulated Hand Model with Diverse Accessories and Rich Textures

Daiheng Gao* · Yuliang Xiu* · Kailin Li* · Lixin Yang*
Feng Wang · Peng Zhang · Bang Zhang · Cewu Lu · Ping Tan

NeurIPS 2022 (Datasets and Benchmarks Track)

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## Update - [2022.10.07] **DART's raw textures+accessories are released** at [RAW](https://drive.google.com/file/d/1_KPzMFjXLHagPhhos7NXvzdzMMN-b1bd/view) - [2022.09.29] **DART Unity GUI's source code is publicly available** at [GUI](https://drive.google.com/file/d/1xtfc-fMHR5ax-e5S5Drx53Rm2ddL5mHs/view?usp=sharing). ## Environment - numpy - cv2 - imageio - PyTorch - PyTorch3D (>= 0.6) - [manotorch](https://github.com/lixiny/manotorch.git) ## Data Please download the data from [HuggingFace/Dataset](https://huggingface.co/datasets/yuliang/dart) or [Baidu Pan (4w3r)](https://pan.baidu.com/share/init?surl=xOV3FkNFxNS-mYrHTXd8Iw) and put them in the `data/DARTset` folder. ```bash git clone https://huggingface.co/datasets/yuliang/dart data/DARTset ``` Then download [MANO](https://mano.is.tue.mpg.de) from the official website and put it in the `assets` folder. Your directory should look like this: ``` . ├── DARTset.py ├── DARTset_utils.py ├── assets │ └── mano_v1_2 ├── data │ └── DARTset │ ├── train │ │ ├── 0 │ │ ├── 0_wbg │ │ ├── part_0.pkl │ │ |-- ... │ └── test ``` ## Visualization ```python python DARTset.py ``` You can modify this [line](https://github.com/DART2022/DARTset/blob/f619f609b1902b344fc5bbba57d080763a5496eb/DARTset.py#L175) in DARTset.py to change the `train/test` data split. ## Post Processing with Unity GUI Please check [postprocess folder](https://github.com/DART2022/DART/blob/master/postprocess/README.md) to learn how to generate intermediate output using DART's Unity GUI. ## Citation If you find our work useful in your research, please cite: ``` @inproceedings{gao2022dart, title={{DART: Articulated Hand Model with Diverse Accessories and Rich Textures}}, author={Daiheng Gao and Yuliang Xiu and Kailin Li and Lixin Yang and Feng Wang and Peng Zhang and Bang Zhang and Cewu Lu and Ping Tan}, booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track}, year={2022}, } ```