MMT
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[ECCV22] Unbiased Multi-Modality Guidance for Image Inpainting
你好,我有点不理解,语义分割图和边缘图是如何用在解码阶段的?代码中似乎只将受损图、掩码和原图作为网络的输入。 
The edge_loss and seg_loss are increasing accumulatively when I train the OST dataset, whether it is the code 'weight = (label_anno.view(bs, -1) == (self.n_cate_anno-1)).sum(1) == h * w # for...
Hello, thank you for your excellent work! I used utils/generate_face_parsing.py to generate the segmentation maps for CelebA-HQ, but nothing was generated.
Thanks for this amazing work but I am unable to find pretrained weights for OST and Cityscape dataset. Can you please provide those.
I tried your model and this is the result I got back. The left side is the predicted area. It seems to fail on skin tone, hair, ear and jaw...
Traceback (most recent call last): File "D:/研究生/图像修复/文献代码/Unbiased Multi-Modality Guidance for Image Inpainting/MMT-main/train.py", line 53, in run() File "D:/研究生/图像修复/文献代码/Unbiased Multi-Modality Guidance for Image Inpainting/MMT-main/train.py", line 40, in run dataloader = DataLoader(dataset,...