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arXiv · 2401.11425

Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain

Chen Liang·Yunchen Sheng·Yichen Mo
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Abstract

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.

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Chen Liang, Yunchen Sheng, Yichen Mo. 2024-01-21. Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain. https://arxiv.org/abs/2401.11425

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