alias-free-gan VS NVAE

Compare alias-free-gan vs NVAE and see what are their differences.


Alias-Free GAN project website and code (by NVlabs)


The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper) (by NVlabs)
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alias-free-gan NVAE
3 1
1,337 767
-0.4% 2.3%
2.5 1.1
8 months ago 7 months ago
- GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of alias-free-gan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-30.
  • When is the alias-free GAN code going to be released?
    3 projects | | 30 Sep 2021
  • Anime Alias-Free GAN Interpolation
    2 projects | | 20 Aug 2021
    Curious how you managed to make this since the code hasn't been released yet Did you write it from the research paper, if so do you have a github link?
  • Alias-Free GAN
    5 projects | | 23 Jun 2021
    This isn't true. I do ML every day. You are mistaken.

    I click the website. I search "model". I see two results. Oh no, that means no download link to model.

    I go to the github. Maybe model download link is there. I see zero code:

    zero code. Zero model.

    You, and everyone like you, who are gushing with praise and hypnotized by pretty images and a nice-looking pdf, are doing damage by saying that this is correct and normal.

    The thing that's useful to me, first and foremost, is a model. Code alone isn't useful.

    Code, however, is the recipe to create the model. It might take 400 hours on a V100, and it might not actually result in the model being created, but it slightly helps me.

    There is no code here.

    Do you think that the pdf is helpful? Yeah, maybe. But I'm starting to suspect that the pdf is in fact a tech demo for nVidia, not a scientific contribution whose purpose is to be helpful to people like me.

    Okay? Model first. Code second. Paper third.

    Every time a tech demo like this comes out, I'd like you to check that those things exist, in that order. If it doesn't, it's not reproducible science. It's a tech demo.

    I need to write something about this somewhere, because a large number of people seem to be caught in this spell. You're definitely not alone, and I'm sorry for sounding like I was singling you out. I just loaded up the comment section, saw your comment, thought "Oh, awesome!" clicked through, and went "Oh no..."


Posts with mentions or reviews of NVAE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-23.

What are some alternatives?

When comparing alias-free-gan and NVAE you can also consider the following projects:

StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

alias-free-gan-pytorch - Unofficial implementation of Alias-Free Generative Adversarial Networks. ( in PyTorch