Open Johnson-yue opened 2 years ago
Hi! @Johnson-yue
I didn't try "w & w/o L1 loss".
https://github.com/ligoudaner377/font_translator_gan/blob/9e1aaf03b3edbacee0023607f60cc4b2a155cc8b/models/font_translator_gan_model.py#L123
But here's a hyperparameter self.opt.lambda_L1
, it can control the weight of L1 loss.
If you set it to 0 and train the model, basically it has the same effect with "w/o L1 loss"
hope this can help you!
hi, thank your share the code. I have an question about loss
did you analysis loss importance for w & w/o L1 loss ?
the result is for blur , if w/o gan loss , the performance maybe the same ?