This project explores the application of deep learning in transforming grayscale images and videos into realistic, colorized versions. By utilizing pre-trained convolutional neural networks (CNNs) and ...

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 ...

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) ...