SerezD/vqvae-vqgan-pytorch-lightning
VQ-VAE/GAN implementation in pytorch-lightning
This project helps researchers and machine learning engineers working with image generation or compression tasks by providing a framework to train VQ-VAE and VQ-GAN models. You input a collection of images (like a dataset of photos), and it outputs a trained model capable of generating new, similar images or compressing existing ones into a more manageable, discrete representation. It is designed for those who need to experiment with advanced image vector quantization techniques.
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Use this if you are an AI/ML researcher or engineer looking to train and experiment with cutting-edge image generation and compression models based on VQ-VAE or VQ-GAN architectures.
Not ideal if you need a user-friendly application for everyday image editing or simple dataset augmentation without deep technical involvement in model training.
Stars
49
Forks
5
Language
Python
License
MIT
Last pushed
Nov 04, 2024
Commits (30d)
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