From ecd03c3690362bcc20063b5f9300a060281a357c Mon Sep 17 00:00:00 2001
From: Xuebin Qin <xuebin@ualberta.ca>
Date: Tue, 12 Apr 2022 18:49:09 -0600
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 5c381f5..1dcfa28 100644
--- a/README.md
+++ b/README.md
@@ -82,7 +82,6 @@ python u2net_portrait_composite.py -s 20 -a 0.5
 **(2021-Mar-17)** [**Dennis Bappert**](https://github.com/dennisbappert) re-trained the U<sup>2</sup>-Net model for [**human portrait matting**](https://github.com/dennisbappert/u-2-net-portrait). The results look very promising and he also provided the details of the training process and data generation(and augmentation) strategy, which are inspiring.
 
 **(2021-Mar-11)** Dr. Tim developed a [**video version rembg**](https://github.com/ecsplendid/rembg-greenscreen) for removing video backgrounds using U<sup>2</sup>-Net. The awesome demo results can be found on [**YouTube**](https://www.youtube.com/watch?v=4NjqR2vCV_k).
-![REMBG](figures/rembg.png)
 
 **(2021-Mar-02)** We found some other interesting applications of our U<sup>2</sup>-Net including [**MOJO CUT**](https://play.google.com/store/apps/details?id=com.innoria.magicut&hl=en_CA&gl=US), [**Real-Time Background Removal on Iphone**](https://www.linkedin.com/feed/update/urn:li:activity:6752303661705170944/?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A6752303661705170944%29), [**Video Background Removal**](https://nisargkapkar.hashnode.dev/image-and-video-background-removal-using-deep-learning), [**Another Online Portrait Generation Demo on AWS**](http://s3-website-hosting-u2net.s3-website-eu-west-1.amazonaws.com/), [**AI Scissor**](https://qooba.net/2020/09/11/ai-scissors-sharp-cut-with-neural-networks/).
 
@@ -104,6 +103,7 @@ python u2net_portrait_composite.py -s 20 -a 0.5
 (1) [**Xiaolong Liu**](https://github.com/LiuXiaolong19920720) developed several very interesting applications based on U<sup>2</sup>-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<sup>2</sup>-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<sup>2</sup>-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<sup>2</sup>-Net. I think this tool will greatly facilitate the application of U<sup>2</sup>-Net in different fields. <br/>
+![REMBG](figures/rembg.png)
 
 **(2020-Nov-21)** Recently, we found an interesting application of U<sup>2</sup>-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).