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
I just noticed that your paper is actually a concurrent work with LDM (exactly the same conference publication!), just wondering what's the main difference between these two works in terms of method? (I took a quick pass but seems that these two papers proposed basically the same technique?)
Thanks!
The text was updated successfully, but these errors were encountered:
I am currently learning about both works as well. They are indeed quite similar, but there are also differences. You may notice that LDM (Latent Diffusion) employs a cross-attention mechanism in the context of UNet, whereas Ada-IN (Adaptive Instance Normalization) is used here.
Additionally, VQ-diffusion appears to modify the forward diffusion process and inherits a self-autoregressive mechanism similar to PixelCNN from VQVAE.
Hi, thanks for the great work!
I just noticed that your paper is actually a concurrent work with LDM (exactly the same conference publication!), just wondering what's the main difference between these two works in terms of method? (I took a quick pass but seems that these two papers proposed basically the same technique?)
Thanks!
The text was updated successfully, but these errors were encountered: