stylegan2-ada
EigenGAN-Tensorflow
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| stylegan2-ada | EigenGAN-Tensorflow | |
|---|---|---|
| 21 | 1 | |
| 1,781 | 338 | |
| 0.4% | - | |
| 0.0 | 0.0 | |
| 6 months ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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stylegan2-ada
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Getty Images will cease to accept all submissions created using AI generative models
If you smudge just a few locations I doubt it would fool a simple discriminator. You could also train a discriminator that is robust to post-processing by using augmentations. This was popular with StyleGAN models: https://github.com/NVlabs/stylegan2-ada
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Someone posted my art on this subreddit and it reached the front page without credit, so I thought I'd post something myself
https://github.com/NVlabs/stylegan2-ada + clip guided diffusion
- [P] Play around with StyleGAN2 in your browser
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AI will shape up the workflow of the future. Here's a simple implementation of NVidia's StyleGAN inside Blender!
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.
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How do you generate those latent walk animations?
You have to modify the code, it's line 60 in https://github.com/NVlabs/stylegan2-ada/blob/main/generate.py
- [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?
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New 'The Sculpture 3'. 3d sculpting + neural network
no i dont.. but as for training - i just use default tf stylegan2-ada repo ( https://github.com/NVlabs/stylegan2-ada )
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[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
EigenGAN-Tensorflow
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[R] EigenGAN: Layer-Wise Eigen-Learning for GANs
Code: https://github.com/LynnHo/EigenGAN-Tensorflow
What are some alternatives?
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
SDV - Synthetic data generation for tabular data
stylegan2_pytorch - A Pytorch implementation of StyleGAN2
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
clip-guided-diffusion - A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
LiminalGan - A stylegan2 model trained on liminal space images
GAN_stability - Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"