Sorry to reply so late.
I’m training discriminator with supervised ID/Pose label + WGAN-GP, the loss seems to be decrease stable. Due to generator changes slow, I update G more frequently than D, so I train 4 steps to optimizing G and 1 for D.
Follow the training strategy above, the synthesized images seems okay but generator loss (From WGAN-GP, the code shown below) keep increasing.Because in my mind, Wasserstein distance should be able to measure the distance between Real/Fake images, G-Loss keep increasing will make me confused.
Does this mean anything special? Or what is the solution to this situation?
Thanks for all your help!