chenmingxiang110/VAE-NCA
This repo provides the code to replicate the experiments in the paper: Image Generation With Neural Cellular Automatas.
This tool helps researchers and digital artists create new images or artworks by mimicking an image generation method called neural cellular automata. You provide existing images, and it uses a variational autoencoder to learn their characteristics, then generates new images, restores damaged ones, or merges styles. It's designed for those exploring advanced generative image techniques.
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Use this if you are a researcher or digital artist interested in generating novel images, restoring damaged artwork, or blending artistic styles using cutting-edge cellular automata models.
Not ideal if you need a simple, off-the-shelf image editor or a tool for basic photo manipulation without delving into advanced generative AI concepts.
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MIT
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Last pushed
Nov 06, 2020
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