Update README.md
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@ -93,16 +93,16 @@ To see a survey of RGBD datasets, I recommend to check out Michael Firman's [col
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<p align="center"><img width="50%" src="http://cs.stanford.edu/~ericyi/project_page/hier_seg/figures/teaser.jpg" /></p>
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:game_die: <b>PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (2017)</b> [[Paper]](http://stanford.edu/~rqi/pointnet/)
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<p align="center"><img width="50%" src="https://web.stanford.edu/~rqi/papers/pointnet.png" /></p>
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<p align="center"><img width="40%" src="https://web.stanford.edu/~rqi/papers/pointnet.png" /></p>
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:game_die: <b>PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (2017)</b> [[Paper]](https://arxiv.org/pdf/1706.02413.pdf)
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<p align="center"><img width="50%" src="https://pbs.twimg.com/media/DB-i3yRUQAARc6g.png" /></p>
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<p align="center"><img width="40%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/PointNet%2B%2B-%20Deep%20Hierarchical%20Feature%20Learning%20on%20Point%20Sets%20in%20a%20Metric%20Space.png" /></p>
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## 3D Synthesis/Reconstruction
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_Parametric Morphable Model-based methods_
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<b>A Morphable Model For The Synthesis Of 3D Faces (1999)</b> [[Paper]](http://gravis.dmi.unibas.ch/publications/Sigg99/morphmod2.pdf)[[Github]](https://github.com/MichaelMure/3DMM)
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<p align="center"><img width="50%" src="http://mblogthumb3.phinf.naver.net/MjAxNzAzMTdfMjcz/MDAxNDg5NzE3MzU0ODI3.9lQioLxwoGmtoIVXX9sbVOzhezoqgKMKiTovBnbUFN0g.sXN5tG4Kohgk7OJEtPnux-mv7OAoXVxxCyo3SGZMc6Yg.PNG.atelierjpro/031717_0222_DataDrivenS4.png?type=w420" /></p>
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<p align="center"><img width="40%" src="http://mblogthumb3.phinf.naver.net/MjAxNzAzMTdfMjcz/MDAxNDg5NzE3MzU0ODI3.9lQioLxwoGmtoIVXX9sbVOzhezoqgKMKiTovBnbUFN0g.sXN5tG4Kohgk7OJEtPnux-mv7OAoXVxxCyo3SGZMc6Yg.PNG.atelierjpro/031717_0222_DataDrivenS4.png?type=w420" /></p>
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<b>The Space of Human Body Shapes: Reconstruction and Parameterization from Range Scans (2003)</b> [[Paper]](http://grail.cs.washington.edu/projects/digital-human/pub/allen03space-submit.pdf)
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<p align="center"><img width="50%" src="https://ai2-s2-public.s3.amazonaws.com/figures/2016-11-08/46d39b0e21ae956e4bcb7a789f92be480d45ee12/7-Figure10-1.png" /></p>
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@ -113,7 +113,7 @@ _Part-based Template Learning methods_
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<p align="center"><img width="20%" src="http://gfx.cs.princeton.edu/pubs/Funkhouser_2004_MBE/chair.jpg" /></p>
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<b>Model Composition from Interchangeable Components (2007)</b> [[Paper]](http://www.cs.princeton.edu/courses/archive/spring11/cos598A/pdfs/Kraevoy07.pdf)
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<p align="center"><img width="50%" src="http://www.cs.ubc.ca/labs/imager/tr/2007/Vlad_Shuffler/teaser.jpg" /></p>
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<p align="center"><img width="40%" src="http://www.cs.ubc.ca/labs/imager/tr/2007/Vlad_Shuffler/teaser.jpg" /></p>
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<b>Data-Driven Suggestions for Creativity Support in 3D Modeling (2010)</b> [[Paper]](http://vladlen.info/publications/data-driven-suggestions-for-creativity-support-in-3d-modeling/)
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<p align="center"><img width="50%" src="http://vladlen.info/wp-content/uploads/2011/12/creativity.png" /></p>
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@ -169,7 +169,7 @@ _Deep Learning Methods_
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<p align="center"><img width="50%" src="https://ai2-s2-public.s3.amazonaws.com/figures/2016-11-08/12280506dc8b5c3ca2db29fc3be694d9a8bef48c/6-Figure2-1.png" /></p>
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:space_invader: <b>Voxlets: Structured Prediction of Unobserved Voxels From a Single Depth Image (2016)</b> [[Paper]](http://visual.cs.ucl.ac.uk/pubs/depthPrediction/http://visual.cs.ucl.ac.uk/pubs/depthPrediction/)
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<p align="center"><img width="50%" src="https://i.ytimg.com/vi/1wy4y2GWD5o/maxresdefault.jpg" /></p>
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<p align="center"><img width="30%" src="https://i.ytimg.com/vi/1wy4y2GWD5o/maxresdefault.jpg" /></p>
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:space_invader: <b>3D-R2N2: 3D Recurrent Reconstruction Neural Network (2016)</b> [[Paper]](http://cvgl.stanford.edu/3d-r2n2/)
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<p align="center"><img width="50%" src="http://3d-r2n2.stanford.edu/imgs/overview.png" /></p>
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@ -206,7 +206,7 @@ _Deep Learning Methods_
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<p align="center"><img width="50%" src="https://sites.google.com/site/kevinkaixu/_/rsrc/1472852123106/publications/style_b.jpg?height=145&width=400" /></p>
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<b>Design Preserving Garment Transfer (2012)</b> [[Paper]](https://hal.inria.fr/hal-00695903/file/GarmentTransfer.pdf)
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<p align="center"><img width="50%" src="https://hal.inria.fr/hal-00695903v2/file/02_WomanToAll.jpg" /></p>
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<p align="center"><img width="30%" src="https://hal.inria.fr/hal-00695903v2/file/02_WomanToAll.jpg" /></p>
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<b>Analogy-Driven 3D Style Transfer (2014)</b> [[Paper]](http://www.chongyangma.com/publications/st/index.html)
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<p align="center"><img width="50%" src="http://www.cs.ubc.ca/~chyma/publications/st/2014_st_teaser.png" /></p>
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