add train

README.md

@@ -1,3 +1,127 @@
 ---
 license: mit
+task_categories:
+- image-to-3d
+tags:
+- hand model
+- 3d reconstruction
+- mano
+- synthetic
+- textures
+- accessories
+size_categories:
+- 100K<n<1M
+language:
+- en
+pretty_name: DART
 ---
+
+<!-- PROJECT LOGO -->
+
+<p align="center">
+
+  <h1 align="center">DART: Articulated Hand Model with Diverse Accessories and Rich Textures</h1>
+  <p align="center">
+    <a href="https://tomguluson92.github.io/"><strong>Daiheng Gao</strong><sup>*</sup></a>
+    ·
+    <a href="https://ps.is.tuebingen.mpg.de/person/yxiu"><strong>Yuliang Xiu</strong><sup>*</sup></a>
+    ·
+    <a href="https://kailinli.top/#"><strong>Kailin Li</strong><sup>*</sup></a>
+    ·
+    <a href="https://lixiny.github.io/"><strong>Lixin Yang</strong><sup>*</sup></a>
+    <br>
+    <strong>Feng Wang</strong>
+    ·
+    <strong>Peng Zhang</strong>
+    ·
+    <strong>Bang Zhang</strong>
+    ·
+    <a href="https://www.mvig.org/"><strong>Cewu Lu</strong></a>
+   ·
+    <a href="https://www.cs.sfu.ca/~pingtan/"><strong>Ping Tan</strong></a>
+  </p>
+  <h2 align="center">NeurIPS 2022 (Datasets and Benchmarks Track)</h2><br>
+  <div align="center">
+    <img src="./assets/teaser.png" alt="Logo" width="100%">
+  </div>
+
+  <p align="center">
+  <br>
+    <a href='https://arxiv.org/abs/2210.07650'>
+      <img src='https://img.shields.io/badge/Paper-PDF-green?style=for-the-badge&logo=arXiv&logoColor=green' alt='Paper PDF'>
+    </a>
+    <a href='https://dart2022.github.io/' style='padding-left: 0.5rem;'>
+      <img src='https://img.shields.io/badge/DART-Page-orange?style=for-the-badge&logo=Google%20chrome&logoColor=orange' alt='Project Page'>
+    <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>
+  </p>
+</p>
+
+<br />
+<br />
+
+
+## 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]() or [Baidu Pan (4w3r)](https://pan.baidu.com/share/init?surl=xOV3FkNFxNS-mYrHTXd8Iw) and put them in the `data/DARTset` folder.
+
+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](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},
+}
+
+```

train/part_0.zip

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train/part_1.zip

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train/part_10.zip

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train/part_3.zip

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