Update README.md

README.md

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-# SFI-Swin
+# SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions
+Official implementation
+
+by MohammadReza Naderi
+, MohammadHossein Givkashi 
+, Nader Karimi
+, Shahram Shirani
+, Shadrokh Samavi
+
+[[arXiv](https://arxiv.org/abs/2301.03130)]
+
+
+
+<p align="center">
+  <img src="https://github.com/mohammadrezanaderi4/SFI-Swin/blob/main/GIF_final1.gif" />
+</p>
+
+
+
+## Implementations
+* Coming Soon ...
+
+## Acknowledgments
+* lama [CSAILVision](https://github.com/CSAILVision/semantic-segmentation-pytorch).
+* Swin-Unet [CSAILVision](https://github.com/CSAILVision/semantic-segmentation-pytorch).
+* Segmentation code and models if form [CSAILVision](https://github.com/CSAILVision/semantic-segmentation-pytorch).
+* LPIPS metric is from [richzhang](https://github.com/richzhang/PerceptualSimilarity)
+* SSIM is from [Po-Hsun-Su](https://github.com/Po-Hsun-Su/pytorch-ssim)
+* FID is from [mseitzer](https://github.com/mseitzer/pytorch-fid)
+
+## Citation
+If you found this code helpful, please consider citing: 
+```
+@article{naderi2023sfi-swin,
+  title={SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions},
+  author={Naderi, MohammadReza and Givkashi, MohammadHossein and Karimi, Nader and Shirani, Shahram and Samavi, Shadrokh},
+  journal={arXiv preprint arXiv:2301.03130},
+  year={2023}
+}
+```
+