Update README.md

README.md

 # Real-ESRGAN
 PyTorch implementation of a Real-ESRGAN model trained on custom dataset. This model shows better results on faces compared to the original version. It is also easier to integrate this model into your projects.
 
+Real-ESRGAN is an upgraded [ESRGAN](https://arxiv.org/abs/1809.00219) trained with pure synthetic data is capable of enhancing details while removing annoying artifacts for common real-world images. 
+
 You can try it in [google colab](https://colab.research.google.com/drive/1yO6deHTscL7FBcB6_SRzbxRr1nVtuZYE?usp=sharing)
 
 - Paper: [Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data](https://arxiv.org/abs/2107.10833)
@@ -29,7 +31,7 @@ You can try it in [google colab](https://colab.research.google.com/drive/1yO6deH
 
 ---
 
-Basic example:
+Basic usage:
 
 ```python
 import torch
@@ -50,3 +52,34 @@ sr_image = model.predict(image)
 sr_image.save('results/sr_image.png')
 ```
 
+### Examples
+
+---
+
+Low quality image:
+
+![](inputs/lr_image.png)
+
+Real-ESRGAN result:
+
+![](results/sr_image.png)
+
+---
+
+Low quality image:
+
+![](inputs/lr_face.png)
+
+Real-ESRGAN result:
+
+![](results/sr_face.png)
+
+---
+
+Low quality image:
+
+![](inputs/lr_lion.png)
+
+Real-ESRGAN result:
+
+![](results/sr_lion.png)