Why using continuous VAE instead of vector quantized VAE?
#4
by
anemoi
- opened
Hello, the project description mentions that:
"...MatForger architecture is based on MatFuse. It differs from it in using a continuous VAE instead of a vector quantized autoencoder (VQ-VAE). Additionally we distilled the multiencoder VAE into a single-encoder model, thus reducing the model complexity but retaining the disentangled latent representation of MatFuse..."
Please may I ask why did you decide to switch from vector quantized VAE to continuous VAE? Does it provide some benefits?
Thank you very much and I wish you a nice day!
Hi, in recent experiments the VAE gave better reconstruction performances and overall quality compared to the VQ-VAE.
Thank you very much for the reply :)