Why does my VAE model produce blurry samples despite a well-tuned discriminator

Question

Can you tell me why my VAE model produces blurry samples despite a well-tuned discriminator?

Answer 1

To address this, try improving the latent space structure, using a better reconstruction loss (e.g., Wasserstein loss), or increasing the decoder complexity.

Here is the code snippet you can refer to:

In the above code we are using the following key strategies:

• Latent Space Structure: Ensure the latent space is well-represented. A poor latent space can lead to blurry reconstructions.
• Reconstruction Loss: You can try using a better loss function like Wasserstein loss or perceptual loss, which may help in generating sharper outputs.
• Decoder Capacity: Ensure the decoder has enough capacity (e.g., more layers or neurons) to generate higher-quality images.

Hence, by referring to the above, you can solve your problem.