You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Currently, text is generated from latent point by sampling from distributions produced by generator over vocabulary of tokens. But since z is multivariate gaussian we can also sample from it thus having more diversity and nuances in generated samples.
The text was updated successfully, but these errors were encountered:
You are right about my current implementation, and I agree it will increase diversity. I‘m bit afraid that adding randomness in latent space may delude the latent trajectory, one has to carefully choose random samples by checking its distance to its Gaussian mean.
Currently, text is generated from latent point by sampling from distributions produced by generator over vocabulary of tokens. But since z is multivariate gaussian we can also sample from it thus having more diversity and nuances in generated samples.
The text was updated successfully, but these errors were encountered: