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@ -319,6 +319,10 @@ _Parametric Morphable Model-based methods_
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<b>Category-Specific Object Reconstruction from a Single Image (2014)</b> [[Paper]](https://people.eecs.berkeley.edu/~akar/categoryshapes.pdf)
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<p align="center"><img width="50%" src="http://people.eecs.berkeley.edu/~akar/categoryShapes/images/teaser.png" /></p>
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:gem: <b>Using Locally Corresponding CAD Models for
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Dense 3D Reconstructions from a Single Image (2017)</b> [[Paper]](http://ci2cv.net/media/papers/chenkong_cvpr_2017.pdf)
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<p align="center"><img width="50%" src="https://chenhsuanlin.bitbucket.io/images/rp/r02.png" /></p>
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<a name="3d_synthesis_template_based" />
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_Part-based Template Learning methods_
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@ -495,6 +499,12 @@ _Deep Learning Methods_
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:camera::space_invader: <b>Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction (2018 CVPR)</b> [[Paper]](https://shubhtuls.github.io/mvcSnP/)
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<p align="center"><img width="50%" src="https://shubhtuls.github.io/mvcSnP/resources/images/teaser.png" /></p>
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:camera::game_die: <b>Object-Centric Photometric Bundle Adjustment with Deep Shape Prior (2018)</b> [[Paper]](http://ci2cv.net/media/papers/WACV18.pdf)
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<p align="center"><img width="50%" src="https://chenhsuanlin.bitbucket.io/images/rp/r06.png" /></p>
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:camera::game_die: <b>Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction (AAAI 2018)</b> [[Paper]](https://chenhsuanlin.bitbucket.io/3D-point-cloud-generation/)
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<p align="center"><img width="50%" src="https://chenhsuanlin.bitbucket.io/images/rp/r05.png" /></p>
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<a name="style_transfer" />
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## Style Transfer
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