LBAM_Pytorch
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Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)
@Vious Thanks for your excellent work! I'm training your model on Paris StreetView dataset with central square hole, but the results all suffer from severe artifacts like these:  ...
I meet this question about this, but I can't fix it, could you help me
Hi ! Thank you for your great project! Can you tell me the detaill of how to use the generateMask.py to gengeate the mask files?