Update README.md
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@ -50,6 +50,9 @@ To see a survey of RGBD datasets, I recommend to check out Michael Firman's [col
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:space_invader: <b>3D GAN: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (2016)</b> [[Paper]](https://arxiv.org/pdf/1610.07584.pdf)
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<p align="center"><img width="50%" src="http://3dgan.csail.mit.edu/images/model.jpg" /></p>
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:space_invader: <b>3D Shape Induction from 2D Views of Multiple Objects (2016)</b> [[Paper]](https://arxiv.org/pdf/1612.05872.pdf)
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<p align="center"><img width="50%" src="https://ai2-s2-public.s3.amazonaws.com/figures/2016-11-08/e78572eeef8b967dec420013c65a6684487c13b2/2-Figure2-1.png" /></p>
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:space_invader: <b>Generative and Discriminative Voxel Modeling with Convolutional Neural Networks (2017)</b> [[Paper]](https://github.com/ajbrock/Generative-and-Discriminative-Voxel-Modeling)
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<p align="center"><img width="50%" src="https://github.com/ajbrock/Generative-and-Discriminative-Voxel-Modeling/blob/master/doc/GUI3.png" /></p>
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@ -218,6 +221,9 @@ _Deep Learning Methods_
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:game_die: <b>A Point Set Generation Network for 3D Object Reconstruction from a Single Image (2017)</b> [[Paper]](http://ai.stanford.edu/~haosu/papers/SI2PC_arxiv_submit.pdf)
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<p align="center"><img width="50%" src="http://gting.me/2017/07/17/pr-point-set-generation-from-single-image/ps3d_introduction.PNG" /></p>
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:game_die: <b>Shape Generation using Spatially Partitioned Point Clouds (2017)</b> [[Paper]](https://arxiv.org/pdf/1707.06267.pdf)
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<p align="center"><img width="50%" src="http://mgadelha.me/sppc/fig/abstract.png" /></p>
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:game_die: <b>DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image (2017)</b> [[Paper]](http://ai.stanford.edu/~haosu/papers/SI2PC_arxiv_submit.pdf)
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<p align="center"><img width="50%" src="https://chrischoy.github.io/images/publication/deformnet/model.png" /></p>
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