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update README

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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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-
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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>
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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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-
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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)
@@ -67,18 +69,20 @@ pretty_name: DART
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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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-
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-
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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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1
  ---
2
  license: mit
3
  task_categories:
4
+ - image-to-3d
5
  tags:
6
+ - hand model
7
+ - 3d reconstruction
8
+ - mano
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+ - synthetic
10
+ - textures
11
+ - accessories
12
  size_categories:
13
+ - 100K<n<1M
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  language:
15
+ - en
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  pretty_name: DART
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  ---
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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>
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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="https://dart2022.github.io/img/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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+ <table>
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+ <tr>
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+ <td><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></td>
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+ <td><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></td>
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+ <td><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></td>
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+ </tr>
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+ </table>
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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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  ## 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/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.
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+
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+ ```bash
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+ git clone https://huggingface.co/datasets/yuliang/dart data/DARTset
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+ ```
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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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