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README.md
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sdk: gradio
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sdk_version: 3.
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app_file: app.py
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pinned: true
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python_version: 3.8.13
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sdk: gradio
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sdk_version: 3.27.0
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python_version: 3.8.13
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---
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# ICON Clothed Human Digitization
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### ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
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<table>
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<th>
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<ul>
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<li><strong>Homepage</strong> <a href="http://icon.is.tue.mpg.de">icon.is.tue.mpg.de</a></li>
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<li><strong>Code</strong> <a href="https://github.com/YuliangXiu/ICON">YuliangXiu/ICON</a></li>
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<li><strong>Paper</strong> <a href="https://arxiv.org/abs/2112.09127">arXiv</a>, <a href="https://readpaper.com/paper/4569785684533977089">ReadPaper</a></li>
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<li><strong>Chatroom</strong> <a href="https://discord.gg/Vqa7KBGRyk">Discord</a></li>
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<li><strong>Colab Notebook</strong> <a href="https://colab.research.google.com/drive/1-AWeWhPvCTBX0KfMtgtMk10uPU05ihoA?usp=sharing">Google Colab</a></li>
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</ul>
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<a href="https://twitter.com/yuliangxiu"><img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/yuliangxiu?style=social"></a>
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<iframe src="https://ghbtns.com/github-btn.html?user=yuliangxiu&repo=ICON&type=star&count=true&v=2&size=small" frameborder="0" scrolling="0" width="100" height="20"></iframe>
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<a href="https://youtu.be/hZd6AYin2DE"><img alt="YouTube Video Views" src="https://img.shields.io/youtube/views/hZd6AYin2DE?style=social"></a>
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</th>
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<th>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/hZd6AYin2DE" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</th>
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</table>
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<h4> The reconstruction + refinement + video take about 200 seconds for single image. <span style="color:red"> If ERROR, try "Submit Image" again.</span></h4>
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<details>
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<summary>More</summary>
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#### Citation
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```
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@inproceedings{xiu2022icon,
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title = {{ICON}: {I}mplicit {C}lothed humans {O}btained from {N}ormals},
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author = {Xiu, Yuliang and Yang, Jinlong and Tzionas, Dimitrios and Black, Michael J.},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2022},
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pages = {13296-13306}
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}
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```
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