Update README.md

README.md

@@ -22,7 +22,7 @@ size_categories:
 Link to the challenge: https://codalab.lisn.upsaclay.fr/competitions/21648
 Link to the workshop: https://www.cvlai.net/ntire/2025/
 
-This dataset includes images from three smartphones: iPhoneX, SamsungS9, Samsung21. You can use it for many tasks, these are some:
+This dataset includes images from three **smartphones**: iPhoneX, SamsungS9, Samsung21. You can use it for many tasks, these are some:
 - Reconstruct RAW images from the sRGB counterpart
 - Learn an ISP to process the RAW images into the sRGB (emulating the phone ISP)
 - Add noise to the RAW images and train a denoiser
@@ -69,5 +69,32 @@ This dataset includes images from three smartphones: iPhoneX, SamsungS9, Samsung
   print (meta_loaded)
   ```
 
+### Citation
+
+Toward Efficient Deep Blind Raw Image Restoration, ICIP 2024
+
+```
+@inproceedings{conde2024toward,
+  title={Toward Efficient Deep Blind Raw Image Restoration},
+  author={Conde, Marcos V and Vasluianu, Florin and Timofte, Radu},
+  booktitle={2024 IEEE International Conference on Image Processing (ICIP)},
+  pages={1725--1731},
+  year={2024},
+  organization={IEEE}
+}
+```
+
+BSRAW: Improving blind raw image super-resolution, WACV 2024
+
+```
+@inproceedings{conde2024bsraw,
+  title={Bsraw: Improving blind raw image super-resolution},
+  author={Conde, Marcos V and Vasluianu, Florin and Timofte, Radu},
+  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
+  pages={8500--8510},
+  year={2024}
+}
+```
+
 
 Contact: [email protected]