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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 experimentsone of its variant. We also proposed a CycleGAN based model and experimentsthose methods on various datasets. The result shows that the proposed CycleGANmodel does well in human-face coloring and comic coloring, but lack the abilityto diverse colorization.

Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain