karoly-hars/GAN_image_colorizing
Image colorization with generative adversarial networks on the CIFAR10 dataset.
This project helps researchers and developers explore image colorization techniques using Generative Adversarial Networks (GANs). It takes a grayscale image as input and outputs a colorized version, allowing comparison between different colorization approaches. This is primarily for those studying or experimenting with advanced image processing and machine learning models.
No commits in the last 6 months.
Use this if you are researching or developing new methods for automatically adding color to black and white images, especially within the context of GANs.
Not ideal if you need a production-ready tool for high-quality, precise image colorization on diverse datasets outside of the CIFAR10 dataset.
Stars
11
Forks
3
Language
Python
License
MIT
Category
Last pushed
Feb 07, 2020
Commits (30d)
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