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@yucornetto
yucornetto committed Dec 15, 2020
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10 changes: 10 additions & 0 deletions result/IMAGE.md
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## Image Matting
<p align="center">
<img src="1.png" width="1050" title="Matting Comparison"/>
</p>
<p align="center">
<img src="2.png" width="1050" title="Matting Comparison"/>
</p>
<p align="center">
<img src="3.png" width="1050" title="Matting Comparison"/>
</p>
26 changes: 2 additions & 24 deletions result/RESULT.md
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We provide visual samples and comparison with Internet Images here.

## Image Matting
<p align="center">
<img src="1.png" width="1050" title="Matting Comparison"/>
</p>
<p align="center">
<img src="2.png" width="1050" title="Matting Comparison"/>
</p>
<p align="center">
<img src="3.png" width="1050" title="Matting Comparison"/>
</p>
Please refer to [IMAGE.md](IMAGE.md) for details.

## Fully Automatic Matting System
We further train MG Matting with an internal portrait matting dataset consisting of 4395 samples, and combine it with a base segmentation model to obtain a fully automatic matting system. We compare this system to latest trimap-free matting system (MODNet)[https://github.com/ZHKKKe/MODNet] and also commercial software Photoshop 2021.

<p align="center">
<img src="4.png" width="1050" title="System Comparison"/>
</p>
<p align="center">
<img src="5.png" width="1050" title="System Comparison"/>
</p>
<p align="center">
<img src="6.png" width="1050" title="System Comparison"/>
</p>
<p align="center">
<img src="7.png" width="1050" title="System Comparison"/>
</p>
<p align="center">
<img src="8.png" width="1050" title="System Comparison"/>
</p>
Please refer to [SYSTEM.md](SYSTEM.md) for details.

## Video Matting
We note that MG Matting, though not utilizing temporal information yet, can potentially produce great results on videos. Please refer to the following links for video demos.
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18 changes: 18 additions & 0 deletions result/SYSTEM.md
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## Fully Automatic Matting System
We further train MG Matting with an internal portrait matting dataset consisting of 4395 samples, and combine it with a base segmentation model to obtain a fully automatic matting system. We compare this system to latest trimap-free matting system (MODNet)[https://github.com/ZHKKKe/MODNet] and also commercial software Photoshop 2021.

<p align="center">
<img src="4.png" width="1050" title="System Comparison"/>
</p>
<p align="center">
<img src="5.png" width="1050" title="System Comparison"/>
</p>
<p align="center">
<img src="6.png" width="1050" title="System Comparison"/>
</p>
<p align="center">
<img src="7.png" width="1050" title="System Comparison"/>
</p>
<p align="center">
<img src="8.png" width="1050" title="System Comparison"/>
</p>

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