Closed OValery16 closed 6 years ago
Hello.
The major drawback of our method is model size.
Since we got enhanced performances by increasing the model size, we have to further optimize our method to use less resources.
The advantage is that we do not use batch-normalization, which is a quite expensive operation.
Our EDSR-baseline model can perform better than SRResNet (from SRGAN) even with out batch-normalization.
Also, we validated various techniques for super-resolution (self-ensemble or multi-scale learning), which can be further researched in future.
Thank you.
Thank for you for your very clear explanation
I read your paper and I go deeply impressed. I wanted to know how would you compare your work to GAN-oriented approach such as SRGAN (advantage/drawback)
Thanks,