julian-8897/conv-vae-pytorch
Convolutional Variational Autoencoder in Pytorch benchmarked on CelebA Dataset
This project helps generate new images and reconstruct existing ones using a type of artificial intelligence. You provide a collection of images, and it can either produce entirely new images that resemble your input or recreate slightly degraded versions of your original images. This tool is for researchers or hobbyists exploring advanced image synthesis techniques.
Use this if you are an AI researcher or enthusiast looking to experiment with generating novel images or reconstructing distorted images using a Variational Autoencoder model.
Not ideal if you need a production-ready system for high-resolution image generation or require fine-grained control over specific image attributes, as this is a proof-of-concept project.
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20
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1
Language
Jupyter Notebook
License
MIT
Last pushed
Nov 08, 2025
Commits (30d)
0
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