From 954596ab8819a7f496f8c603fcd0f10c97aba2a4 Mon Sep 17 00:00:00 2001 From: Zhanghan Ke Date: Fri, 28 Jan 2022 14:21:06 +0800 Subject: [PATCH] Update README.md --- README.md | 67 ++++++++++++++++++++------------------------------------------- 1 file changed, 21 insertions(+), 46 deletions(-) diff --git a/README.md b/README.md index b2fbeba..8ea4125 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,18 @@

MODNet: Trimap-Free Portrait Matting in Real Time

+
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition (AAAI 2022)
+ -
MODNet is a model for real-time portrait matting with only RGB image input.
-
MODNet是一个仅需RGB图片输入的实时人像抠图模型。
+
MODNet is a model for real-time portrait matting with only RGB image input
+
MODNet是一个仅需RGB图片输入的实时人像抠图模型

- Online Solution (在线方案) | + Online Application (在线应用) | Research Demo | - Arxiv Preprint | + AAAI 2022 Paper | Supplementary Video

@@ -24,43 +26,16 @@ Contact

-**News:** We create a repository for our new model [MODNet-V](https://github.com/ZHKKKe/MODNet-V) that focuses on faster and better portrait video matting. -**News:** The PPM-100 benchmark is released in [this repository](https://github.com/ZHKKKe/PPM). - --- -## Online Solution (在线方案) +## Online Application (在线应用) -The online solution for portrait matting is coming! -人像抠图在线方案发布了！ +A **Single** model! Only **7M**! Process **2K** resolution image with a **Fast** speed on common PCs or Mobiles! **Beter** performance than research demos! +Please try online portrait image matting via [this website](https://sight-x.cn/portrait_matting)! -### Portrait Image Matting Solution (图片抠像方案) - -A **Single** Model! Only **7M**! Process **2K** resolution image with a **Fast** speed on common PCs or Mobiles! -**单个**模型！大小仅为**7M**！可以在普通PC或移动设备上**快速**处理具有**2K**分辨率的图像！ - -Now you can try our **portrait image matting** online via [this website](https://sight-x.cn/portrait_matting). -现在，您可以通过[此网站](https://sight-x.cn/portrait_matting)在线使用我们的**图片抠像**功能。 - - - - - - - - - - - +**单个**模型！大小仅为**7M**！可以在普通PC或移动设备上**快速**处理具有**2K**分辨率的图像！效果比研究示例**更好**！ +请通过[此网站](https://sight-x.cn/portrait_matting)在线尝试图片抠像！ ## Research Demo @@ -111,7 +86,7 @@ We provide the [code](src/trainer.py) of MODNet training iteration, including: - **Supervised Training**: Train MODNet on a labeled matting dataset - **SOC Adaptation**: Adapt a trained MODNet to an unlabeled dataset -In the code comments, we provide examples for using the functions. +In code comments, we provide examples for using the functions. ## PPM Benchmark @@ -119,13 +94,12 @@ The PPM benchmark is released in a separate repository [PPM](https://github.com/ ## License -All resources in this repository (code, models, demos, *etc.*) are released under the [Creative Commons Attribution NonCommercial ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) license. -The license will be changed to allow commercial use after our paper is accepted. +The code, models, and demos in this repository (excluding GIF files under the folder `doc/gif`) are released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0) license. ## Acknowledgement - We thank -        [@eyaler](https://github.com/eyaler), [@manthan3C273](https://github.com/manthan3C273), [@yarkable](https://github.com/yarkable), [@jkjung-avt](https://github.com/jkjung-avt), +        [@yzhou0919](https://github.com/yzhou0919), [@eyaler](https://github.com/eyaler), [@manthan3C273](https://github.com/manthan3C273), [@yarkable](https://github.com/yarkable), [@jkjung-avt](https://github.com/jkjung-avt), [@manzke](https://github.com/manzke),         [the Gradio team](https://github.com/gradio-app/gradio), [What's AI YouTube Channel](https://www.youtube.com/channel/UCUzGQrN-lyyc0BWTYoJM_Sg), [Louis Bouchard's Blog](https://www.louisbouchard.ai), for their contributions to this repository or their cool applications/extentions/resources of MODNet. @@ -134,12 +108,11 @@ for their contributions to this repository or their cool applications/extentions If this work helps your research, please consider to cite: ```bibtex -@article{MODNet, - author = {Zhanghan Ke and Kaican Li and Yurou Zhou and Qiuhua Wu and Xiangyu Mao and Qiong Yan and Rynson W.H. Lau}, - title = {Is a Green Screen Really Necessary for Real-Time Portrait Matting?}, - journal={ArXiv}, - volume={abs/2011.11961}, - year = {2020}, +@InProceedings{MODNet, + author = {Zhanghan Ke and Jiayu Sun and Kaican Li and Qiong Yan and Rynson W.H. Lau}, + title = {MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition}, + booktitle = {AAAI}, + year = {2022}, } ``` @@ -147,3 +120,5 @@ If this work helps your research, please consider to cite: ## Contact This repository is currently maintained by Zhanghan Ke ([@ZHKKKe](https://github.com/ZHKKKe)). For questions, please contact `kezhanghan@outlook.com`. + + \ No newline at end of file