Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910304437272576 |
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| author | Liang, Chen Sheng, Yunchen Mo, Yichen |
| author_facet | Liang, Chen Sheng, Yunchen Mo, Yichen |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_11425 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain Liang, Chen Sheng, Yunchen Mo, Yichen Computer Vision and Pattern Recognition Machine Learning I.4.3 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. |
| title | Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain |
| topic | Computer Vision and Pattern Recognition Machine Learning I.4.3 |
| url | https://arxiv.org/abs/2401.11425 |