Comments (3)
To add to @omertov's answer, when you initialize the network in the following lines:
encoder4editing/training/coach.py
Lines 37 to 38 in 73c60bd
you can add the following snippet:
if self.net.latent_avg is None:
self.net.latent_avg = self.net.decoder.mean_latent(int(1e5))[0].detach()
This will estimate the average latent and store it as part of the network. Then training can continue as is normal.
from encoder4editing.
Hi @ssxxx1a.
The average latent is obtained from sampling many (usually thousands) of latent codes and averaging them to get the average code.
Usually the repositories provide a build in function for obtaining this average code, for example see this function in rosinality's repository.
After obtaining the average code, you should save it as a part of the checkpoint under the 'latent_avg' key.
Best,
Omer
from encoder4editing.
ohhh!
thanks both for your reply !
from encoder4editing.
Related Issues (20)
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