Update README.md (#1)

- Update README.md (fc550d0ef1977f7a79a868ecfa74bd773202b92a)


Co-authored-by: Mehmet Ali Özer <maliozer@users.noreply.huggingface.co>

README.md

@@ -6,17 +6,47 @@ tags:
 - point-cloud
 - airplane
 - 3D
+
+datasets:
+- shapenet
 ---
 
-### About  
+### Model Description
+– Luo, Shitong and Hu, Wei
+– 2021
+
+Proposed a probabilistic generative model for point clouds inspired by non-equilibrium thermodynamics, exploiting the reverse diffusion process to learn the point distribution. All models are available on the original [***Github repo Link***](https://github.com/luost26/diffusion-point-cloud). It consists of a model for airplane model generating.
+
+
+### Documents
+- [GitHub Repo](https://github.com/luost26/diffusion-point-cloud)
+- [Paper - Diffusion Probabilistic Models for 3D Point Cloud Generation](https://arxiv.org/abs/2103.01458)
+  
+### Datasets
+ShapeNet is a comprehensive 3D shape dataset created for research in computer graphics, computer vision, robotics and related diciplines.
+
+- [Offical Dataset of ShapeNet](https://shapenet.org/)
+- [author's training dataset](https://drive.google.com/drive/folders/1SRJdYDkVDU9Li5oNFVPOutJzbrW7KQ-b?usp=share_link)
+- [pre-trained models](https://drive.google.com/drive/folders/1sH7v2xmQ6ImC4rll28mktEK4hucFO_yz?usp=share_link)
+
 
-Other models are available on the original [***Github repo Link***](https://github.com/luost26/diffusion-point-cloud). It consists of a model for airplane model generating.
+### How to use
 
-### Paper  
+```python
+# Train an auto-encoder
+python train_ae.py 
 
-[Paper - Diffusion Probabilistic Models for 3D Point Cloud Generation](https://arxiv.org/abs/2103.01458)
+# Train a generator
+python train_gen.py
+```
 
+```python
+# Test an auto-encoder
+python test_ae.py --ckpt ./pretrained/AE_all.pt --categories all
 
+# Test a generator
+python test_gen.py --ckpt ./pretrained/GEN_airplane.pt --categories airplane
+```
 
 ### BibTeX Entry and Citation Info
  ```