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Results tagged with vae
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user 14675
1
vote
Accepted
Not understanding how to eval a VAE model?
Usually, VAE's are trained as image generators. In that use case, at inference time you only use the decoder part: you just sample a random vector $z$ and give it to the decoder to obtain the image.
- 27.5k
6
votes
Accepted
How does variational autoencoders actually work in comparison to GAN?
VAEs were a hot topic some years ago. They were known to generate somewhat blurry images and sometimes suffered from posterior collapse (the decoder part ignores the bottleneck). These problems improv …
- 27.5k
1
vote
Help needed in interpreting the loss, val_loss vs epoch plots for an autoencoder training?
You tagged your question with vae, so I will assume that this is a variational autoencoder. …
- 27.5k