Skip to content

Implementation of Image Colorization using Conditional Generative Adversarial Networks (cGANs). This project trains a model to predict realistic color information for grayscale inputs using a generator-discriminator architecture.

License

Notifications You must be signed in to change notification settings

harshitrajora/Image-Colorisation-Gan

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

Image_colorisation_using_Conditional_Gan

This project utilizes the Pix2Pix architecture to perform image colorization, converting grayscale images to colored versions. Pix2Pix is a popular image-to-image translation GAN that learns a mapping between input and target images.

About

Implementation of Image Colorization using Conditional Generative Adversarial Networks (cGANs). This project trains a model to predict realistic color information for grayscale inputs using a generator-discriminator architecture.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published