Do you need 3D annotation points to train your GAN?

[JasOlean]

I read your paper in details. So, for training you said you do not need 3D annotation set to train your GAN. In here, I have an unclear point. You trained Human3.6M dataset in your GAN without 3D annotation data. And then estimate z component. After your estimation, there are estimated 3D pose. My question is how to compare your estimated 3D pose and ground truth 3D pose? For comparison, do we need 3D annotation data? Because I have not 3D pose for my interest field (i.e not human pose). To compare the experimental results, I think I will require 3D pose. Is it right? Thank your for your reading.