From b51f2aab4165e7bc4bff3eeb9cf06c0a6045b3b2 Mon Sep 17 00:00:00 2001
From: nschor <nschor@gmail.com>
Date: Fri, 30 Aug 2019 17:36:59 +0300
Subject: [PATCH] Added code to the paper Global-to-Local Generative Model for
 3D Shapes

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index dbf4c68..d639f1e 100644
--- a/README.md
+++ b/README.md
@@ -697,7 +697,7 @@ _Deep Learning Methods_
 :space_invader: <b>Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers (2018 CVPR)</b> [[Paper]](https://arxiv.org/pdf/1804.10975.pdf)
 <p align="center"><img width="50%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/Matryoshka%20Networks-%20Predicting%203D%20Geometry%20via%20Nested%20Shape%20Layers%20(2018%20CVPR).jpeg" /></p>
 
-:space_invader: <b>Global-to-Local Generative Model for 3D Shapes (SIGGRAPH Asia 2018)</b> [[Paper]](http://vcc.szu.edu.cn/research/2018/G2L)
+:space_invader: <b>Global-to-Local Generative Model for 3D Shapes (SIGGRAPH Asia 2018)</b> [[Paper]](http://vcc.szu.edu.cn/research/2018/G2L)[[Code]](https://github.com/Hao-HUST/G2LGAN)
 <p align="center"><img width="50%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/Global-to-Local%20Generative%20Model%20for%203D%20Shapes.jpg" /></p>
 
 :gem::game_die::space_invader: <b>ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning (TOG 2018)</b> [[Paper]](https://bit.ly/alignet) [[Code]](https://github.com/ranahanocka/ALIGNet/)