FSRNet-pytorch
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cs-giung
PyTorch implementation of "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (https://arxiv.org/abs/1711.10703)
Thank you for your code. When I test the pre-trained model with my own images, it appeared a problem, 'Missing key(s) in state_dict: "prior_conv1.weight", "prior_conv1.bias". How can I fix the...
I noticed the code in the ```net.py``` and found the features[variable: prs] extracted by the Prior Estimation Network is not concatenated with the features extracted by the Coarse SR network....
@cs-giung Thank you for your code. I would like to evaluate the results of super-resolution on my images, how do I evaluate them? Looking forward to your response.
