stylegan2-ada VS GAN_stability

Compare stylegan2-ada vs GAN_stability and see what are their differences.


StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation (by NVlabs)


Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)" (by LMescheder)
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stylegan2-ada GAN_stability
18 1
1,421 851
4.4% -
1.3 0.0
9 months ago about 2 years ago
Python Jupyter Notebook
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of stylegan2-ada. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-14.
  • AI will shape up the workflow of the future. Here's a simple implementation of NVidia's StyleGAN inside Blender! | 2021-09-13
    StyleGAN2-ADA is a neural network good at learning styles from images, you can give it a dataset and 'learn' its style into a file (a trained model). In this example, I load a model and given a random seed, generate a random texture which is applied to the object's material.
  • How do you generate those latent walk animations?
    I understand the concept you're describing, but I'm unsure how to implement it in practice. The documentation on Stylegan2's GitHub page doesn't mention anything on it I can see.
    You have to modify the code, it's line 60 in
  • [D] Do I need to apply spectral norm to my embedding matrix when training a conditional W-GAN?
  • Can I train a model on 100 images of homes and have it draw a couple "average" homes?
  • New 'The Sculpture 3'. 3d sculpting + neural network | 2021-04-27
    no i dont.. but as for training - i just use default tf stylegan2-ada repo ( )
  • [R] EigenGAN: Layer-Wise Eigen-Learning for GANs
    You should check stylegan-2 ada, it works on colab and can be trained less than 12 hours tensorflow implementation
  • gamma
  • I have been making art with deep neural networks lately, and at some point one of them started outputting these cosmic creatures, so I thought I'd share. | 2021-04-21
    This image looks awesome! And this process sounds really interesting, any more specific tips on where to get started? I studied Neuroscience, use Linux and Python for data analysis, but haven't done any image editing yet. I found the code but it seems like I need a GPU. Which I don't have, unless I use the servers at my university lol
  • An interpolation from an AI trained on liminal images
    with a process called ADA


Posts with mentions or reviews of GAN_stability. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-07.
  • [R] A survey on generative adversarial networks: fundamentals and recent advances - Link to free zoom lecture by the researcher in comments
    Which Training Methods for GANs do actually Converge? [ICML 2018] Lars Mescheder, Andreas Geiger, and Sebastian Nowozin. arxiv: git:

What are some alternatives?

When comparing stylegan2-ada and GAN_stability you can also consider the following projects:

awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

stylegan2_pytorch - A Pytorch implementation of StyleGAN2

stylegan2 - StyleGAN2 - Official TensorFlow Implementation