diff --git a/README.md b/README.md
index f265fd4..556f181 100644
--- a/README.md
+++ b/README.md
@@ -140,6 +140,9 @@ To see a survey of RGBD datasets, check out Michael Firman's [collection](http:/
:space_invader: Generative and Discriminative Voxel Modeling with Convolutional Neural Networks (2016) [[Paper]](https://arxiv.org/pdf/1608.04236.pdf) [[Code]](https://github.com/ajbrock/Generative-and-Discriminative-Voxel-Modeling)
+:gem: Geometric deep learning on graphs and manifolds using mixture model CNNs (2016) [[Link]](https://arxiv.org/pdf/1611.08402.pdf)
+
+
:space_invader: 3D GAN: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (2016) [[Paper]](https://arxiv.org/pdf/1610.07584.pdf) [[Code]](https://github.com/zck119/3dgan-release)
@@ -170,6 +173,12 @@ To see a survey of RGBD datasets, check out Michael Firman's [collection](http:/
:game_die: Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models (2017) [[Paper]](http://www.arxiv.org/pdf/1704.01222.pdf)
+:game_die: Dynamic Graph CNN for Learning on Point Clouds (2018) [[Paper]](https://arxiv.org/pdf/1801.07829.pdf)
+
+
+:game_die: PointCNN (2018) [[Paper]](https://yangyanli.github.io/PointCNN/)
+
+
## Multiple Objects Detection
@@ -234,6 +243,12 @@ Parsing of Large-scale 3D Point Clouds (2017) [[Paper]](https://arxiv.org/pd
:game_die::space_invader: Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 (2017) [[Paper]](https://arxiv.org/pdf/1710.06104.pdf)
+:game_die: Dynamic Graph CNN for Learning on Point Clouds (2018) [[Paper]](https://arxiv.org/pdf/1801.07829.pdf)
+
+
+:game_die: PointCNN (2018) [[Paper]](https://yangyanli.github.io/PointCNN/)
+
+
## 3D Synthesis/Reconstruction