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## Updates !!!
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**(2020-Dec-28)** Some interesting applications and useful tools of our U^2-Net: <br/>
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(1) [**Xiaolong Liu**](https://github.com/LiuXiaolong19920720) developed several very interesting applications based on U^2-Net including [**Human Portrait Drawing**](https://www.cvpy.net/studio/cv/func/DeepLearning/sketch/sketch/page/)(Xiaolong is also the first one who uses U^2-Net for portrait generation), [**image matting**](https://www.cvpy.net/studio/cv/func/DeepLearning/matting/matting/page/) and [**so on**](https://www.cvpy.net/). <br/>
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(2) [**Daniel Gatis**](https://github.com/danielgatis/rembg) built a python tool [**Rembg**](https://pypi.org/project/rembg/) for image backgrounds removal based on U^2-Net. I think this tool will greatly facilitate the application of U^2-Net in different fields. <br/>
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(3) [**Vladimir Seregin**](https://github.com/peko/nn-lineart) developed an interesting tool for comparing the portrait results of our U^2-Net and that of another popular model, [**ArtLine**](https://github.com/vijishmadhavan/ArtLine) developed by [**Vijish Madhavan**](https://github.com/vijishmadhavan). <br/>
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**(2020-Nov-21)** Recently, we found an interesting application of U^2-Net for [**human portrait drawing**](https://www.pythonf.cn/read/141098). Therefore, we trained another model for this task based on the [**APDrawingGAN dataset**](https://github.com/yiranran/APDrawingGAN).
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