chainer-fast-neuralstyle
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Some problem about your re-impletation
GOOD WORK. But I have some Questions to ask you. First, I used your what you have said in the comment to train a new model, but I still found that the results are noisy. Second I found that you just subtracted 120 per image, why did not subtract the mean value that VGG provided?
Yeah. I have the same question to ask.
@DavieHR @littlekobe I think that doesn't make a lot of diference. This VGG mean is just around 120.
Excuse me, I found that both y and xc are subtracted by 120, but the style imge is not. Is there anything wrong when calculate L_style with feature_hat(subtracted by 120) and feature_s(not subtracted)? @austingg @DavieHR
@yanhn you subtract 120 just before you feed it to VGG network. For the style it's subtracted by vgg.preprocess method :)
@cryptexis Thank you. Yes,you're right. My bad, I didn't read code carefully.