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3D-Machine-Learning
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Repo Links for Scene Understanding & Scene Synthesis & Style Transfer

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@ -415,10 +415,10 @@ _Deep Learning Methods_
<b>Analogy-Driven 3D Style Transfer (2014)</b> [[Paper]](http://www.chongyangma.com/publications/st/index.html)
<p align="center"><img width="50%" src="http://www.cs.ubc.ca/~chyma/publications/st/2014_st_teaser.png" /></p>
<b>Elements of Style: Learning Perceptual Shape Style Similarity (2015)</b> [[Paper]](http://people.cs.umass.edu/~zlun/papers/StyleSimilarity/StyleSimilarity.pdf)
<b>Elements of Style: Learning Perceptual Shape Style Similarity (2015)</b> [[Paper]](http://people.cs.umass.edu/~zlun/papers/StyleSimilarity/StyleSimilarity.pdf) [[Code]](https://github.com/happylun/StyleSimilarity)
<p align="center"><img width="50%" src="https://people.cs.umass.edu/~zlun/papers/StyleSimilarity/StyleSimilarity_teaser.jpg" /></p>
<b>Functionality Preserving Shape Style Transfer (2016)</b> [[Paper]](http://people.cs.umass.edu/~zlun/papers/StyleTransfer/StyleTransfer.pdf)
<b>Functionality Preserving Shape Style Transfer (2016)</b> [[Paper]](http://people.cs.umass.edu/~zlun/papers/StyleTransfer/StyleTransfer.pdf) [[Code]](https://github.com/happylun/StyleTransfer)
<p align="center"><img width="50%" src="https://people.cs.umass.edu/~zlun/papers/StyleTransfer/StyleTransfer_teaser.jpg" /></p>
<b>Unsupervised Texture Transfer from Images to Model Collections (2016)</b> [[Paper]](http://ai.stanford.edu/~haosu/papers/siga16_texture_transfer_small.pdf)
@ -427,7 +427,7 @@ _Deep Learning Methods_
<b>Learning Detail Transfer based on Geometric Features (2017)</b> [[Paper]](http://surfacedetails.cs.princeton.edu/)
<p align="center"><img width="50%" src="http://surfacedetails.cs.princeton.edu/images/teaser.png" /></p>
<b>Neural 3D Mesh Renderer (2017)</b> [[Paper]](http://hiroharu-kato.com/projects_en/neural_renderer.html)
<b>Neural 3D Mesh Renderer (2017)</b> [[Paper]](http://hiroharu-kato.com/projects_en/neural_renderer.html) [[Code]](https://github.com/hiroharu-kato/neural_renderer.git)
<p align="center"><img width="50%" src="https://pbs.twimg.com/media/DPSm-4HWkAApEZd.jpg" /></p>
<a name="scene_synthesis" />
@ -448,7 +448,7 @@ _Deep Learning Methods_
<b>IM2CAD</b> [[Paper]](http://homes.cs.washington.edu/~izadinia/im2cad.html)
<p align="center"><img width="50%" src="http://i.imgur.com/KhtOeuB.jpg" /></p>
<b>Raster-to-Vector: Revisiting Floorplan Transformation (2017, ICCV)</b> [[Paper]](http://www.cse.wustl.edu/~chenliu/floorplan-transformation.html)
<b>Raster-to-Vector: Revisiting Floorplan Transformation (2017, ICCV)</b> [[Paper]](http://www.cse.wustl.edu/~chenliu/floorplan-transformation.html) [[Code]](https://github.com/art-programmer/FloorplanTransformation)
<p align="center"><img width="50%" src="https://www.cse.wustl.edu/~chenliu/floorplan-transformation/teaser.png" /></p>
<a name="scene_understanding" />
@ -475,16 +475,16 @@ _Deep Learning Methods_
<b>DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes (2016)</b> [[Paper]](http://deeplayout.stanford.edu/)
<p align="center"><img width="30%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/DeLay-Robust%20Spatial%20Layout%20Estimation%20for%20Cluttered%20Indoor%20Scenes.png" /></p>
<b>3D Semantic Parsing of Large-Scale Indoor Spaces (2016)</b> [[Paper]](http://buildingparser.stanford.edu/method.html)
<b>3D Semantic Parsing of Large-Scale Indoor Spaces (2016)</b> [[Paper]](http://buildingparser.stanford.edu/method.html) [[Code]](https://github.com/alexsax/2D-3D-Semantics)
<p align="center"><img width="50%" src="http://buildingparser.stanford.edu/images/teaser.png" /></p>
<b>Single Image 3D Interpreter Network (2016)</b> [[Paper]](http://3dinterpreter.csail.mit.edu/)
<b>Single Image 3D Interpreter Network (2016)</b> [[Paper]](http://3dinterpreter.csail.mit.edu/) [[Code]](https://github.com/jiajunwu/3dinn)
<p align="center"><img width="50%" src="http://3dinterpreter.csail.mit.edu/images/spotlight_3dinn_large.jpg" /></p>
<b>Deep Multi-Modal Image Correspondence Learning (2016)</b> [[Paper]](http://www.cse.wustl.edu/~chenliu/floorplan-matching.html)
<p align="center"><img width="50%" src="https://www.cse.wustl.edu/~furukawa/carousel/2016-floorplan-wide.png" /></p>
<b>Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks (2017)</b> [[Paper]](http://3dvision.princeton.edu/projects/2016/PBRS/)
<b>Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks (2017)</b> [[Paper]](http://3dvision.princeton.edu/projects/2016/PBRS/) [[Code]](https://github.com/yindaz/pbrs) [[Code]](https://github.com/yindaz/surface_normal) [[Code]](https://github.com/fyu/dilation) [[Code]](https://github.com/s9xie/hed)
<p align="center"><img width="50%" src="http://robots.princeton.edu/projects/2016/PBRS/teaser.jpg" /></p>
<b>RoomNet: End-to-End Room Layout Estimation (2017)</b> [[Paper]](https://arxiv.org/pdf/1703.06241.pdf)
@ -493,5 +493,5 @@ _Deep Learning Methods_
<b>SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite (2017)</b> [[Paper]](http://rgbd.cs.princeton.edu/)
<p align="center"><img width="50%" src="http://rgbd.cs.princeton.edu/teaser.jpg" /></p>
<b>Semantic Scene Completion from a Single Depth Image (2017)</b> [[Paper]](http://sscnet.cs.princeton.edu/)
<b>Semantic Scene Completion from a Single Depth Image (2017)</b> [[Paper]](http://sscnet.cs.princeton.edu/) [[Code]](https://github.com/shurans/sscnet)
<p align="center"><img width="50%" src="http://sscnet.cs.princeton.edu/teaser.jpg" /></p>