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super-resolution-ssimadded

In, this I have implemented composite loss, employing SSIM,L1 loss, perceptual loss and M1loss.In this ,the results are not to the last ,as I tuned the model a lot of times, but the structure of model and loss can be acknowledged from here.

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SuperResolution using ESRGAN architecture with custom loss

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