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Thanks for the work. Looks really cool! I have two questions about the script train.py:
(1) Does the parameter freezeFC mean that you want to freeze the whole style network (from z to w) on left of the generator? Looks you do not really freeze it but instead use the latent w computed from the source generator.
(2) For the generator_source, do we also need to load the weight of source generator before starting the training? I see you only define it without pre-loading any weight.
The text was updated successfully, but these errors were encountered:
Thanks for the work. Looks really cool! I have two questions about the script train.py:
(1) Does the parameter freezeFC mean that you want to freeze the whole style network (from z to w) on left of the generator? Looks you do not really freeze it but instead use the latent w computed from the source generator.
(2) For the generator_source, do we also need to load the weight of source generator before starting the training? I see you only define it without pre-loading any weight.
Hello, have you resolved these two issues? I also found that these two parts are inconsistent with the description provided by the author. Looking forward to your response,thanks @Yijunmaverick @ @happy-jihye
Thanks for the work. Looks really cool! I have two questions about the script
train.py
:(1) Does the parameter
freezeFC
mean that you want to freeze the whole style network (fromz
tow
) on left of the generator? Looks you do not really freeze it but instead use the latentw
computed from the source generator.(2) For the
generator_source
, do we also need to load the weight of source generator before starting the training? I see you only define it without pre-loading any weight.The text was updated successfully, but these errors were encountered: