mirror of https://github.com/ZHKKKe/MODNet.git
40 lines
1.8 KiB
Markdown
40 lines
1.8 KiB
Markdown
<h2 align="center">MODNet: Is a Green Screen Really Necessary for Real-Time Portrait Matting?</h2>
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<img src="doc/gif/homepage_demo.gif" width="100%">
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<p align="center">
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<a href="https://arxiv.org/pdf/2011.11961.pdf">Arxiv Preprint</a> |
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<a href="https://youtu.be/PqJ3BRHX3Lc">Supplementary Video</a>
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</p>
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<div align="center">This is the official project of our paper <b>Is a Green Screen Really Necessary for Real-Time Portrait Matting?</b></div>
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<div align="center">MODNet is a <b>trimap-free</b> model for portrait matting in <b>real time</b> (on a single GPU).</div>
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<div align="center">Our amazing demo, code, pre-trained model, and validation benchmark are coming soon!</div>
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---
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## Announcement
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I have received some requests for accessing our code. I am sorry that we need some time to get everything ready since this repository is now supported by Zhanghan Ke alone. Our plans in the next few months are:
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- We will publish an online image/video matting demo along with the pre-trained model **in these two weeks (approximately Dec. 7, 2020 to Dec. 18, 2020)**.
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- We then plan to release the code of supervised training and unsupervised SOC in Jan. 2021.
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- We finally plan to open source the PPM-100 validation benchmark in Feb. 2021.
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We look forward to your continued attention to this project. Thanks.
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## News
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- [Nov 24 2020] Release [Arxiv Preprint](https://arxiv.org/pdf/2011.11961.pdf) and [Supplementary Video](https://youtu.be/PqJ3BRHX3Lc).
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## Citation
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If this work helps your research, please consider to cite:
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```bibtex
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@article{MODNet,
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author = {Zhanghan Ke and Kaican Li and Yurou Zhou and Qiuhua Wu and Xiangyu Mao and Qiong Yan and Rynson W.H. Lau},
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title = {Is a Green Screen Really Necessary for Real-Time Portrait Matting?},
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journal={ArXiv},
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volume={abs/2011.11961},
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year = {2020},
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}
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```
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