Building on StyleGAN, I generated a set of fake basketball players, starting from pics of NBA players. Now I would like to map the latent space using the number of points each player made in the last season. My idea is to adapt what Puzer did, mapping the latent space using the prolificacy of the different players.

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How should I proceed after labeling the players images? I have no landmark model I can build on.