A brief analysis of iColoriT for interactive image colorization.
Resumen:
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.
| 2024 | |
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Colorization Interactive ViT |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
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https://www.ipol.im/pub/art/2024/539/
https://hdl.handle.net/20.500.12008/43916 |
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| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 4.0) |
| Sumario: | 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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