Welcome to the Colorizing Black and White Images project! This Python-based project aims to bring life to black and white photographs by automatically adding vibrant colors to them. Image colorization ...

This project implements a convolutional autoencoder (CAE) model to colorize black and white images using TensorFlow and Keras. The code utilizes the CIFAR-10 image dataset and leverages the CIELAB ...

In prior work, the team trained a deep network on big visual data (a million images) to automatically colorize grayscale images, with no user intervention. While the results were sometimes very ...

Color Diffusion first reads an RGB color image and converts it to Lab . Then, keep the channels of the grayscale image constant and add noise only to the color channels.