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OpenBayes/MODNet

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README

MODNet: Is a Green Screen Really Necessary for Real-Time Portrait Matting?

Arxiv Preprint | Supplementary Video | Video Matting Demo | Image Matting Demo

This is the official project of our paper Is a Green Screen Really Necessary for Real-Time Portrait Matting?
MODNet is a trimap-free model for portrait matting in real time (on a single GPU).

News

Video Matting Demo

We provide two real-time portrait video matting demos based on WebCam.
If you have an Ubuntu system, we recommend you to try the offline demo to get a higher fps. Otherwise, you can access the online Colab demo.

Image Matting Demo

We provide an online Colab demo for portrait image matting.
It allows you to upload portrait images and predict/visualize/download the alpha mattes.

TO DO

  • Release training code (scheduled in Jan. 2021)
  • Release PPM-100 validation benchmark (scheduled in Feb. 2021)

License

This project is released under the Creative Commons Attribution NonCommercial ShareAlike 4.0 license.

Acknowledgement

We thank City University of Hong Kong and SenseTime for their support to this project.

Citation

If this work helps your research, please consider to cite:

@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},
}

Contact

This project is currently maintained by Zhanghan Ke (@ZHKKKe).
If you have any questions, please feel free to contact kezhanghan@outlook.com.

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