Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.

Simple Python package for colorized terminal output

Colorization using ab channel averaging during training.

Multimedia&Lab lecture Hint based Image Colorization Challenge from Prof. Yong Ju Jung in Gachon Univ

Image colorizer built with machine learning

Colorizing grayscale images with python and deep learning.

Image Colorization is a service to colorize the gray scale images using Generative AI.

A DL-based super-resolution and colorization tool built with PyTorch.

This project implements automatic black-and-white image colorization using deep learning models. The models used are: ECCV16: "Colorful Image Colorization" SIGGRAPH17: "Real-Time User-Guided Image Colorization"

A toy practice for deep learning based image colorization during summer time.

Colorful Bias is a longitudinal benchmarking of algorithmic colorization of images containing human skin tones.

🏞 Colorizing grayscale photographs.

U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping

This is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

repository for my bachelor thesis "Coloring old Photos of Leipzig" mostly in German

This is the source codes for UCD final year project -- "Deep Colorisation". Using keras-tensorflow as the main tool.

Easily print in color to the python console, on any platform, without external modules.

Image Colorization using deep Learning