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

• [2022.10.07] DART's raw textures+accessories are released at RAW
• [2022.09.29] DART Unity GUI's source code is publicly available at GUI.

• numpy
• cv2
• imageio
• PyTorch
• PyTorch3D (>= 0.6)
• manotorch

Please download the data from DropBox and put them in the data/DARTset folder.

Then download MANO 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

python DARTset.py

You can modify this line in DARTset.py to change the train/test data split.

Please check postprocess folder to learn how to generate intermediate output using DART's Unity GUI.

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},
}