A brief analysis of iColoriT for interactive image colorization.
This paper briefly describes and analyzes iColoriT, a hybrid colorization method based on a Vision Transformer that propagates user hints to relevant regions of a grayscale image while using color priors learned from a large image dataset. This approach gives users more control over color inference...
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| Main Author: | |
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| Other Authors: | , |
| Format: | article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://www.ipol.im/pub/art/2024/539/ https://hdl.handle.net/20.500.12008/43916 |
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| Summary: | This paper briefly describes and analyzes iColoriT, a hybrid colorization method based on a Vision Transformer that propagates user hints to relevant regions of a grayscale image while using color priors learned from a large image dataset. This approach gives users more control over color inference and shows a quick way to achieve results. |
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