Open OneCutePig opened 3 months ago
both directions are trained together, similar as cycleGAN. netA and netB uses different architectures because one side contains the unmatchable features not present in the other set in our setting
I got it, thank you for your detailed response!
Thank you for the fantastic work on StegoGAN!
I noticed that netA and netB are different models in your code. If I want to perform image translation between modality A and modality B in both directions (A→B and B→A), do I need to train the models separately for each direction?
Thanks for your help!