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--- |
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license: mit |
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task_categories: |
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- image-to-3d |
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tags: |
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- hand model |
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- 3d reconstruction |
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- mano |
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- synthetic |
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- textures |
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- accessories |
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size_categories: |
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- 100K<n<1M |
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language: |
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- en |
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pretty_name: DART |
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--- |
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<!-- PROJECT LOGO --> |
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<p align="center"> |
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<h1 align="center">DART: Articulated Hand Model with Diverse Accessories and Rich Textures</h1> |
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<p align="center"> |
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<a href="https://tomguluson92.github.io/"><strong>Daiheng Gao</strong><sup>*</sup></a> |
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· |
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<a href="https://ps.is.tuebingen.mpg.de/person/yxiu"><strong>Yuliang Xiu</strong><sup>*</sup></a> |
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· |
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<a href="https://kailinli.top/#"><strong>Kailin Li</strong><sup>*</sup></a> |
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· |
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<a href="https://lixiny.github.io/"><strong>Lixin Yang</strong><sup>*</sup></a> |
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<br> |
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<strong>Feng Wang</strong> |
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· |
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<strong>Peng Zhang</strong> |
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<strong>Bang Zhang</strong> |
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<a href="https://www.mvig.org/"><strong>Cewu Lu</strong></a> |
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<a href="https://www.cs.sfu.ca/~pingtan/"><strong>Ping Tan</strong></a> |
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</p> |
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<h2 align="center">NeurIPS 2022 (Datasets and Benchmarks Track)</h2><br> |
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<div align="center"> |
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<img src="./assets/teaser.png" alt="Logo" width="100%"> |
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</div> |
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<p align="center"> |
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<br> |
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<a href='https://arxiv.org/abs/2210.07650'> |
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<img src='https://img.shields.io/badge/Paper-PDF-green?style=for-the-badge&logo=arXiv&logoColor=green' alt='Paper PDF'> |
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</a> |
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<a href='https://dart2022.github.io/' style='padding-left: 0.5rem;'> |
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<img src='https://img.shields.io/badge/DART-Page-orange?style=for-the-badge&logo=Google%20chrome&logoColor=orange' alt='Project Page'> |
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<a href="https://www.youtube.com/watch?v=kvWqtdLf6hs"><img alt="youtube views" title="Subscribe to my YouTube channel" src="https://img.shields.io/youtube/views/ZufrPvooR2Q?logo=youtube&labelColor=ce4630&style=for-the-badge"/></a> |
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</p> |
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</p> |
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<br /> |
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<br /> |
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## Update |
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- [2022.10.07] **DART's raw textures+accessories are released** at [RAW](https://drive.google.com/file/d/1_KPzMFjXLHagPhhos7NXvzdzMMN-b1bd/view) |
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- [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). |
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## Environment |
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* numpy |
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* cv2 |
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* imageio |
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* PyTorch |
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* PyTorch3D (>= 0.6) |
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* [manotorch](https://github.com/lixiny/manotorch.git) |
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## Data |
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Please download the data from [HuggingFace]() or [Baidu Pan (4w3r)](https://pan.baidu.com/share/init?surl=xOV3FkNFxNS-mYrHTXd8Iw) and put them in the `data/DARTset` folder. |
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Then download [MANO](https://mano.is.tue.mpg.de) from the official website and put it in the `assets` folder. |
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Your directory should look like this: |
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``` |
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. |
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├── DARTset.py |
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├── DARTset_utils.py |
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├── assets |
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│ └── mano_v1_2 |
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├── data |
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│ └── DARTset |
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│ ├── train |
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│ │ ├── 0 |
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│ │ ├── 0_wbg |
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│ │ ├── part_0.pkl |
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│ │ |-- ... |
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│ └── test |
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``` |
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## Visualization |
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```python |
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python DARTset.py |
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``` |
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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. |
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## Post Processing with Unity GUI |
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Please check [postprocess folder](postprocess/README.md) to learn how to generate intermediate output using DART's Unity GUI. |
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## Citation |
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If you find our work useful in your research, please cite: |
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``` |
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@inproceedings{gao2022dart, |
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title={{DART: Articulated Hand Model with Diverse Accessories and Rich Textures}}, |
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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}, |
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booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track}, |
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year={2022}, |
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} |
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``` |
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