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Dear reaserchers, please also consider checking our newly introduced face inpainting method to address the symmetry problems of general inpainting methods by using swin transformer and semantic aware discriminators. Our proposed method showed better results in terms of fid score and newly proposed metric which focus on the face symmetry compared to some of the state-of-the-art methods including lama. Our paper is availabe at: https://www.researchgate.net/publication/366984165_SFI-Swin_Symmetric_Face_Inpainting_with_Swin_Transformer_by_Distinctly_Learning_Face_Components_Distributions
The code also will be published in: https://github.com/mohammadrezanaderi4/SFI-Swin
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Dear reaserchers, please also consider checking our newly introduced face inpainting method to address the symmetry problems of general inpainting methods by using swin transformer and semantic aware discriminators.
Our proposed method showed better results in terms of fid score and newly proposed metric which focus on the face symmetry compared to some of the state-of-the-art methods including lama.
Our paper is availabe at:
https://www.researchgate.net/publication/366984165_SFI-Swin_Symmetric_Face_Inpainting_with_Swin_Transformer_by_Distinctly_Learning_Face_Components_Distributions
The code also will be published in:
https://github.com/mohammadrezanaderi4/SFI-Swin
The text was updated successfully, but these errors were encountered: