maciejzamorski / 3d-aae Goto Github PK

I try to transfer the emd implementation to my own project, but it occurs some wired things.

The inputs are input point cloud and reconstructed point cloud with dimension [batch size, num points, num dim(3)].

But after some iterations, the reconstructed point cloud is very comfused.

Should I pay some attention for using this end? Thanks

Regards
Xin

Hello,
If so , can you provide the hyperparameter for training?

Are you able to make the model for the variational autoencoder available?
I noticed that it was there in your hyperparameters.json as an example but not in the model's folder.
Thanks

Hi, thanks for publishing your code!

I have a question about your implementation of the Adversarial AutoEncoder (AAE).
In your code I see you use the reparameterization trick (https://github.com/MaciejZamorski/3d-AAE/blob/master/models/aae.py), like you would if you would train a VAE.

Is there a specific reason to do this? Because I'd think this is not necessary?

Kind regards

Rembert