Update readme

README.md

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-# raw2raw
-Project page for the paper Semi-Supervised Raw-to-Raw Mapping 2021.
+# Semi-Supervised Raw-to-Raw Mapping
+[Mahmoud Afifi](https://sites.google.com/view/mafifi) and [Abdullah Abuolaim](https://sites.google.com/view/abdullah-abuolaim/)
+
+York University  
+
+
+Project page of the paper [Semi-Supervised Raw-to-Raw Mapping.](https://arxiv.org/abs/2106.13883) Mahmoud Afifi and Abdullah Abuolaim. arXiv preprint arXiv:2106.13883, 2021. If you use this code, please cite our paper:
+```
+@article{afifi2021raw2raw,
+  title={Semi-Supervised Raw-to-Raw Mapping},
+  author={Afifi, Mahmoud and Abuolaim, Abdullah},
+  journal={arXiv preprint arXiv:2106.13883},
+  year={2021}
+}
+```
+
+![teaser](https://user-images.githubusercontent.com/37669469/123860756-53886680-d8f4-11eb-95a2-f324221b26a5.jpg)
+
+
+
+### Dataset
+Our dataset consists of an unpaired and paired set of images captured by two different smartphone cameras: Samsung Galaxy S9 and iPhone X. The unpaired set includes 196 images captured by each smartphone camera (total of 392). The paired set includes 115 pair of images used for testing. In addition to this paired set, we have another small set of 22 anchor paired images. See our [paper](https://arxiv.org/abs/2106.13883) for more details. 
+
+![dataset_examples](https://user-images.githubusercontent.com/37669469/123861174-dc9f9d80-d8f4-11eb-96dd-b8ffe134f8aa.jpg)
+
+Original DNG files of our raw images, in addition to the associated source code to extract raw images and metadata, will be released soon.
+
+
+### MIT License