Comments (1)
Hi,
Regarding the mapper - the first thing you need to see if whether or not you're in a situation where the mapper can help. Basically, if your model outputs some results that match your intent, but also some that don't (e.g. it outputs both cats and dogs) then the mapper can help you identify the areas of the latent space where you have cats.
It will not help you if the model fails to produce anything reasonable from your target class.
On how to train the mapper itself: Have a look at the mapper part in https://github.com/orpatashnik/StyleCLIP
We have the code for the mapper with our minor changes in https://github.com/rinongal/StyleGAN-nada/tree/main/ZSSGAN/mapper
Basically, you can run the training with the same command as the original StyleCLIP mapper. The only extra argument is --norm_lambda
which controls the strength of an additional regularization term that we added. However, you can probably just leave it at the default.
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