Update README.md

README.md

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 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+The method "Dense Residual Swin Transformer for Image Denoising" is included in the benchmark report "NTIRE 2023 Challenge on Image Denoising: Methods and Results" in CVPR workshop 2023.
+
+The team include following members:  
+- Sunder Ali Khowaja (Department of Telecommunication Engineering, University of Sindh, Pakistan)  
+- Jiseok Yoon (IKLAB Inc.)
+- Ik Hyun Lee (IKLAB Inc. and Tech University of Korea, Republic of Korea)
+
+If you find the demo useful or want to use the results in your research work, kindly cite our work 
+
+@inproceedings{li2023ntire_dn50,
+  title={NTIRE 2023 Challenge on Image Denoising: Methods and Results},
+  author={Li, Yawei and Zhang, Yulun and Van Gool, Luc and Timofte, Radu and others},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
+  year={2023}
+}