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Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements (CVPR 2019)

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Hi,I've resized the short edge of images in real20 dataset to 512(used torchvision.transforms.Resize).. I tested your released model but it got psnr of 21.89, ssim of 0.804. I don't understand...

Is there any hint for put dataset in the right place for at least a test?

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Hi, I have read your code, and you have implemented patch-gan discrimator, but not used. I just doubt that if it helps to improve the quality of reflection removal

Hi, The "VOC2012_224_train_png.txt" file lists 15,287 images and the training dataset consists of half of 15,287 i.e. 7,643 images. Is the split for the reflection and transmission layer images random?...

Is it possible to add license file? I want to use both code and dataset for my project. Dataset means this. > We captured a new dataset containing 450 unaligned...