A U-Net inpainting model with learnable forward and reverse attention maps improves irregular-hole filling over partial convolution and other state-of-the-art methods.
A note on the gradient of a multi-image
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Image Inpainting with Learnable Bidirectional Attention Maps
A U-Net inpainting model with learnable forward and reverse attention maps improves irregular-hole filling over partial convolution and other state-of-the-art methods.