Colorizing images with Deep Learning

Since the beginning of the photography, Image colorization may have been reserved for those with artistic talent in the past, but now thanks to Artificial Intelligence, is it possible to colorize black and white images and video with outstanding quality. One interesting example is the paper Fully Automatic Video Colorization with Self-Regularization and Diversity ( you can read it here), which refers to one experiment by the Hong Kong University of Science and Technology, which presents a fully automatic method for colorizing black and white films without any human guidance or references. Typical image colorization methods require some sort of labeled reference. A key innovation of this paper is a novel framework consisting of a colorization network with self-learning techniques. The researchers used the ranked diversity loss function proposed in a CVPR paper to differentiate different solution modes.