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DART: Articulated Hand Model with Diverse Accessories and Rich Textures (NeurIPS 2022 - Datasets and Benchmarks Track)
DART2022/DART
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| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
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Daiheng Gao* ·Yuliang Xiu* ·Kailin Li* ·Lixin Yang*
Feng Wang ·Peng Zhang ·Bang Zhang ·Cewu Lu ·Ping Tan
- [2024.04.01]DARTset could be easily cloned from Huggingface/Dataset atDARTset
- [2022.10.07]DART's raw textures+accessories are released atRAW
- [2022.09.29]DART Unity GUI's source code is publicly available atGUI
- numpy
- cv2
- imageio
- PyTorch
- PyTorch3D (>= 0.6)
- manotorch
Please download the data fromHuggingFace orBaidu Pan (4w3r) and put them in thedata/DARTset folder.
git clone https://huggingface.co/datasets/Yuliang/DART data/DARTset
Then downloadMANO from the official website and put it in theassets 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│ │ |-- ...│ └── testpythonDARTset.py
You can modify thisline in DARTset.py to change thetrain/test data split.
Please checkpostprocess 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},}About
DART: Articulated Hand Model with Diverse Accessories and Rich Textures (NeurIPS 2022 - Datasets and Benchmarks Track)
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