-- 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。 - -
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+**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`.
+
+
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