Datasets:
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README.md
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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>
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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="
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</div>
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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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</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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## 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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---
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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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<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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```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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