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Old 22nd November 2017, 17:31   #67  |  Link
feisty2
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Join Date: Oct 2012
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Quote:
Originally Posted by madshi View Post
Thanks. Do you happen to know any papers/projects which do it that way? Would like to see if the resulting images look pleasing enough to make it worth spending the time.
page 8 of the original SRGAN paper, the author compared the results of different loss functions

SRResNet: MSE
SRGAN-MSE: adversarial loss + MSE (what I suggested)
SRGAN-VGG22: adversarial loss + lower level of perceptual loss
SRGAN-VGG54: adversarial loss + higher level of perceptual loss
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