Configs for encoder training and canonical encoder

[jiaxinxie97]

Hi,

Thank you for sharing your awesome work. I have some questions about how you train your encoder part. In your released code, script apps/train_hybrid_encoder.py shows how you do it, but there are two options (train_gen and train_real) and the default weight parameter for each loss is 0, also your paper and supp do not includes loss description of this part. So I want to ask can you release more details about it. I tried to train_gen and train_real (celebA_mask dataset) on your pretrained generator, but it fails to get good reconstruction encoder.

Also, you mentioned you add canonical encoder for this paper, but on apps/train_hybrid_encoder.py, I can not found canonical encoder part, the gen images or real images are not limited to canonical views, and there is only one encoder. Also I can not found it on your pretrained encoder, it seems that you directly use the pretrained encoder in Painter/run_UI.py.