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Update readme.md #20

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Expand Up @@ -31,6 +31,7 @@
- [Real time localization in SfM reconstructions](#papers-localization-in-sfm)

- [MVS](#papers-mvs)
- [Multi view-based reconstruction/generation](#papers-mvrecon-gen)
- [Point cloud computation](#papers-mvs-point-cloud)
- [Surface computation & refinements](#papers-mvs-surface)
- [Machine Learning MVS](#papers-machine-learning-mvs)
Expand Down Expand Up @@ -230,6 +231,18 @@ R. Shah, A. Deshpande, P. J. Narayanan. 3DV 2014. -> [Multistage SFM: A Coarse-t
<a name="papers-mvs"></a>
## Multiple View Stereovision

<a name="papers-mvrecon-gen"></a>
### Multi view-based reconstruction/generation
[Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks](https://github.com/Amir-Arsalan/Synthesize3DviaDepthOrSil). AA. Soltani, H. Huang, J. Wu, T. Kulkarni, J. Tenenbaum. CVPR 2017.

[3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks](https://arxiv.org/pdf/1707.06375.pdf). Zhou, T., Tulsiani, S., Sun, W., Malik, J., & Efros, A. A. EECV 2016.

[View Synthesis by Appearance Flow](https://arxiv.org/pdf/1605.03557.pdf). Lun, Z., Gadelha, M., Kalogerakis, E., Maji, S., & Wang, R. 3DV 2017.

[3D Object Reconstruction from a Single Depth View with Adversarial Learning](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w13/Yang_3D_Object_Reconstruction_ICCV_2017_paper.pdf). Yang, B., Wen, H., Wang, S., Clark, R., Markham, A., & Trigoni, N. ICCV Workshops 2017.

[Learning a Multi-View Stereo Machine](https://arxiv.org/abs/1708.05375). Kar, A., Häne, C., & Malik, J. NIPS 2017

<a name="papers-mvs-point-cloud"></a>
### Point cloud computation

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