Rayhane-mamah/Efficient-VDVAE
Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
This project provides pre-trained models and code for generating realistic images efficiently. It takes datasets of images (like faces, animals, or objects) and produces new, high-quality images that resemble the input data. Researchers and practitioners working in computer vision and generative AI can use these models to create synthetic images for various applications.
199 stars. No commits in the last 6 months.
Use this if you need to generate high-fidelity images from existing datasets using a memory and compute-efficient hierarchical VAE model.
Not ideal if you are looking for a simple, out-of-the-box solution for casual image manipulation or editing, as this targets advanced generative model development.
Stars
199
Forks
26
Language
Python
License
MIT
Category
Last pushed
Aug 15, 2022
Commits (30d)
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