From 5390da2be819be0cc2a0de8c6a353db579a50321 Mon Sep 17 00:00:00 2001 From: Xuebin Qin Date: Tue, 29 Dec 2020 19:48:52 -0700 Subject: [PATCH] Update README.md --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 33bb39d..08e9a63 100644 --- a/README.md +++ b/README.md @@ -14,6 +14,11 @@ __Contact__: xuebin[at]ualberta[dot]ca ## Updates !!! +**(2020-Dec-28)** Some interesting applications and useful tools of our U^2-Net:
+(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/).
+(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.
+(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).
+ **(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). ![Sample Results: Kids](figures/portrait_kids.png)