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AzzerAce avatar AzzerAce commented on July 21, 2024

Hey, it's probably because @pbaylies changed the original vgg loss from L2 in Puzer's repo (this line) to L1 in

def tf_custom_l1_loss(img1,img2):
return tf.math.reduce_mean(tf.math.abs(img2-img1), axis=None)

self.loss += self.vgg_loss * tf_custom_l1_loss(self.features_weight * self.ref_img_features, self.features_weight * generated_img_features)

You can try replacing the lines and see if that helps.

from stylegan-encoder.

muxgt avatar muxgt commented on July 21, 2024

@AzzerAce Thanks man! It seems to work although some small difference left.
Pbaylies VGG L2 even200

from stylegan-encoder.

gsygsy96 avatar gsygsy96 commented on July 21, 2024

@AzzerAce Thanks man! It seems to work although some small differences left.
Pbaylies VGG L2 even200

Did you change the perceptual loss using L1 loss on the VGG feature?

I think the main difference is that this repo uses mask but Puzer's repo uses the whole image.

from stylegan-encoder.

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