Update README.md

README.md

@@ -1,3 +1,48 @@
 ---
-license: artistic-2.0
+license: apache-2.0
+tags:
+  - Super-Resolution
+  - computer-vision
+  - ESRGAN
+  - gan
 ---
+
+### Model Description
+[ESRGAN](https://arxiv.org/abs/2107.10833): ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
+
+[Paper Repo](https://github.com/xinntao/ESRGAN): Implementation of paper.
+
+### Installation
+```
+pip install bsrgan
+```
+
+### BSRGAN Usage
+```python
+from bsrgan import BSRGAN
+
+model = BSRGAN(weights='kadirnar/RRDB_ESRGAN_x4', device='cuda:0', hf_model=True)
+model.save = True
+
+pred = model.predict(img_path='data/image/test.png')
+```
+
+### BibTeX Entry and Citation Info
+```
+@inproceedings{zhang2021designing,
+    title={Designing a Practical Degradation Model for Deep Blind Image Super-Resolution},
+    author={Zhang, Kai and Liang, Jingyun and Van Gool, Luc and Timofte, Radu},
+    booktitle={IEEE International Conference on Computer Vision},
+    pages={4791--4800},
+    year={2021}
+}
+```
+```
+@InProceedings{wang2018esrgan,
+    author = {Wang, Xintao and Yu, Ke and Wu, Shixiang and Gu, Jinjin and Liu, Yihao and Dong, Chao and Qiao, Yu and Loy, Chen Change},
+    title = {ESRGAN: Enhanced super-resolution generative adversarial networks},
+    booktitle = {The European Conference on Computer Vision Workshops (ECCVW)},
+    month = {September},
+    year = {2018}
+}
+```