This project implements automatic colorization of grayscale images using Convolutional Neural Networks (CNN). The repository includes both basic auto-colorization and an advanced Ethnicity Aware ...

Objective: The primary goal of this project is to take grayscale images as input and generate corresponding colorized versions of those images. U-Net is a type of convolutional neural network (CNN) ...

The colorization architecture of this model is divided into four parts: a low-level features network, a mid-level features network, a global features network, and a colorization network. This ...

Abstract: Grayscale image coloring is challenging for high-resolution images of ethnic costume class, and current coloring methods are mainly applicable to low-resolution images, which pay less enough ...