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3D-Machine-Learning
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@ -559,6 +559,12 @@ _Deep Learning Methods_
:gem: <b>Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images (2018)</b> [[Paper]](http://bigvid.fudan.edu.cn/pixel2mesh/)
<p align="center"><img width="50%" src="http://bigvid.fudan.edu.cn/pixel2mesh/eccv2018/pipeline_01.jpg" /></p>
:gem::pill: <b>AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation (2018 CVPR)</b> [[Paper]](http://imagine.enpc.fr/~groueixt/atlasnet/) [[Code]](https://github.com/ThibaultGROUEIX/AtlasNet)
<p align="center"><img width="50%" src="http://imagine.enpc.fr/~groueixt/atlasnet/imgs/teaser.small.png" /></p>
:space_invader::gem: <b>Deep Marching Cubes: Learning Explicit Surface Representations (2018 CVPR)</b> [[Paper]](http://www.cvlibs.net/publications/Liao2018CVPR.pdf)
<p align="center"><img width="50%" src="http://imagine.enpc.fr/~groueixt/atlasnet/imgs/teaser.small.png" /></p>
<a name="style_transfer" />
## Style Transfer