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@ -15,7 +15,7 @@ __Contact__: xuebin[at]ualberta[dot]ca
## Updates !!! ## Updates !!!
**(2020-Dec-28)** Some interesting applications and useful tools based on U^2-Net: <br/> **(2020-Dec-28)** Some interesting applications and useful tools based on U^2-Net: <br/>
(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/)(As far as I know, 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/> (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/)(As far as I know, Xiaolong is 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/>
(2) [**Vladimir Seregin**](https://github.com/peko/nn-lineart) developed an interesting tool, [**NN based lineart**](https://peko.github.io/nn-lineart/), for comparing the portrait results of U^2-Net and that of another popular model, [**ArtLine**](https://github.com/vijishmadhavan/ArtLine), developed by [**Vijish Madhavan**](https://github.com/vijishmadhavan). <br/> (2) [**Vladimir Seregin**](https://github.com/peko/nn-lineart) developed an interesting tool, [**NN based lineart**](https://peko.github.io/nn-lineart/), for comparing the portrait results of U^2-Net and that of another popular model, [**ArtLine**](https://github.com/vijishmadhavan/ArtLine), developed by [**Vijish Madhavan**](https://github.com/vijishmadhavan). <br/>
(3) [**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/> (3) [**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/>