Automatic colorization of grayscale image has been a challenging task. Previous research have applied supervised methods in conquering this problem [ 1]. In this paper, we reproduces a GAN-based coloring model, and experiments one of its variant. We also proposed a CycleGAN based model and experiments those methods on various datasets. The result shows that the proposed CycleGAN model does well in human-face coloring and comic coloring, but lack the ability to diverse colorization.
@article{arxiv.2401.11425,
title = {Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain},
author = {Chen Liang and Yunchen Sheng and Yichen Mo},
journal= {arXiv preprint arXiv:2401.11425},
year = {2024}
}