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<p align="center">
<a href="https://arxiv.org/abs/2107.07235"><img src="https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg" ></a>
<a href=""><img src="https://img.shields.io/badge/license-MIT-blue"></a>
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/license-MIT-blue"></a>
<a href="https://www.ijcai.org/proceedings/2021/111"><img src="https://img.shields.io/static/v1?label=inproceedings&message=Paper&color=orange"></a>
<a href="https://paperswithcode.com/sota/image-matting-on-aim-500?p=deep-automatic-natural-image-matting"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/deep-automatic-natural-image-matting/image-matting-on-aim-500"></a>
</p>
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## Relevant Projects

[1] <strong>Bridging Composite and Real: Towards End-to-end Deep Image Matting, IJCV, 2022 </strong> | [Paper](https://link.springer.com/article/10.1007/s11263-021-01541-0) | [Github](https://github.com/JizhiziLi/GFM)
<br><em>&ensp; &ensp; &ensp;Jizhizi Li<sup>&#8727;</sup>, Jing Zhang<sup>&#8727;</sup>, Stephen J. Maybank, Dacheng Tao</em>
<a href="https://github.com/ViTAE-Transformer/ViTAE-Transformer-Matting"><img src="https://shields.io/badge/-A_list_of_our_works_in_matting-9cf?style=for-the-badge"></a>
</p>

[2] <strong>Privacy-Preserving Portrait Matting, ACM MM, 2021</strong> | [Paper](https://dl.acm.org/doi/10.1145/3474085.3475512) | [Github](https://github.com/JizhiziLi/P3M)
[1] <strong>Privacy-Preserving Portrait Matting, ACM MM, 2021</strong> | [Paper](https://dl.acm.org/doi/pdf/10.1145/3474085.3475512) | [Github](https://github.com/JizhiziLi/P3M)
<br><em>&ensp; &ensp; &ensp;Jizhizi Li<sup>&#8727;</sup>, Sihan Ma<sup>&#8727;</sup>, Jing Zhang, and Dacheng Tao</em>

[3] <strong>Rethinking Portrait Matting with Pirvacy Preserving, arXiv, 2022</strong> | [Paper](https://arxiv.org/abs/2203.16828) | [Github](https://github.com/ViTAE-Transformer/ViTAE-Transformer-Matting)
<br><em>&ensp; &ensp; &ensp;Sihan Ma<sup>&#8727;</sup>, Jizhizi Li<sup>&#8727;</sup>, Jing Zhang, He Zhang, and Dacheng Tao</em>
[2] <strong>Bridging Composite and Real: Towards End-to-end Deep Image Matting, IJCV, 2022 </strong> | [Paper](https://link.springer.com/article/10.1007/s11263-021-01541-0) | [Github](https://github.com/JizhiziLi/GFM)
<br><em>&ensp; &ensp; &ensp;Jizhizi Li<sup>&#8727;</sup>, Jing Zhang<sup>&#8727;</sup>, Stephen J. Maybank, Dacheng Tao</em>

[3] <strong>Referring Image Matting, CVPR, 2023</strong> | [Paper](https://arxiv.org/abs/2206.05149) | [Github](https://github.com/JizhiziLi/RIM)
<br><em>&ensp; &ensp; &ensp;Jizhizi Li, Jing Zhang, and Dacheng Tao</em>

[4] <strong>Rethinking Portrait Matting with Privacy Preserving, IJCV, 2023</strong> | [Paper](https://arxiv.org/pdf/2203.16828.pdf) | [Github](https://github.com/ViTAE-Transformer/P3M-Net)
<br><em>&ensp; &ensp; &ensp;Sihan Ma<sup>&#8727;</sup>, Jizhizi Li<sup>&#8727;</sup>, Jing Zhang, He Zhang, Dacheng Tao</em>

[5] <strong>Deep Image Matting: A Comprehensive Survey, ArXiv, 2023</strong> | [Paper](https://arxiv.org/abs/2304.04672) | [Github](https://github.com/jizhiziLi/matting-survey)
<br><em>&ensp; &ensp; &ensp;Jizhizi Li, Jing Zhang, and Dacheng Tao</em>

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