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An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version

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Hello, I appreciate the work done with this code, it's possible to host the training data on another platform, such as google drive, mega, or yandex? In advance thanks

Thanks for sharing your code. Could you explain why you use transposed convolutions (instead of direct convolutions) in the generator?

I have downloaded the ImageNet folder,and these images are of different sizes,should I crop them first and then put them into data/train?