Open Eddie-Hwang opened 3 years ago
@Eddie-Hwang so OAI actually did not use VQ-VAE ( although I'll probably bring that into the repo eventually given the results in https://compvis.github.io/taming-transformers/ )
They used a discrete VAE with relaxation, which is hopefully what I have :)
i'll build in integration with VQ-VAE https://github.com/lucidrains/vector-quantize-pytorch by end of the week
@Eddie-Hwang I added VQVAE in 0.1.8 if you are interested in trying it!
@Eddie-Hwang so OAI actually did not use VQ-VAE ( although I'll probably bring that into the repo eventually given the results in https://compvis.github.io/taming-transformers/ )
They used a discrete VAE with relaxation, which is hopefully what I have :)
Is the "discrete VAE" you mentioned in one of these papers?
@FomalhautB I'm actually not sure where it originated from, but I assume it started with this paper https://arxiv.org/pdf/1611.01144.pdf
Hello, I'm wondering which vq-vae model you are using. Is it vq-vae-1? or 2 Thanks in advance