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
Hi, thank you for the elegant work that inspires me a lot.
I'm curious about the implementation of kl divergence loss since it seems quite different from plain VAE. The latent space represents as Gaussian param (μ, σ) in plain VAE, whereas the proposed represents it as a 8-dim vector. The difference makes me confused about how to compute kl loss, but i'm not able to find where this loss function locates.
Could anyone tell me where the part of KL divergence loss locates?
The text was updated successfully, but these errors were encountered:
Hi, thank you for the elegant work that inspires me a lot.
I'm curious about the implementation of kl divergence loss since it seems quite different from plain VAE. The latent space represents as Gaussian param (μ, σ) in plain VAE, whereas the proposed represents it as a 8-dim vector. The difference makes me confused about how to compute kl loss, but i'm not able to find where this loss function locates.
Could anyone tell me where the part of KL divergence loss locates?
The text was updated successfully, but these errors were encountered: