ezioby / padinv Goto Github PK

Hi thank you for your interesting work !
Have you visualized the padding map? I wonder how the padding map is generated, since it is learned unsupervisedly and used as kind of "shell" w.r.t. generator feature map.

Best,

Hi I noticed that there are pre-trained encoder models for specific datasets like churches, faces etc.

How do I go about training my own encoder that's specific to my own dataset? Say a dataset of website landing pages, or keyboards? I already have a pre-trained StyleGAN2 generator model for my custom dataset.

Do I need to follow a specific methodology?

Any advice will be highly appreciated

hello! any plans on a notebook? :)

Thank you for your work. I train this code using 8 gpus. But I get very unbalanced gpu memory usage. Can you give me some advice.

Good results. How to test a+b and style mixing

Hi,

Is it possible to share pre-trained encoders for your method that can directly be used to invert images? I see in the code that you provided pre-trained generators that are to be used to train the encoder for the inversion, but it would be great if you can provide trained encoders as well that can directly be used for inversion.

Thanks!