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...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Uruguay |
| Recursos: | Universidad de la República |
| Repositorio: | COLIBRI |
| Idioma: | inglés |
| OAI Identifier: | oai:colibri.udelar.edu.uy:20.500.12008/43916 |
| Acesso em linha: | https://www.ipol.im/pub/art/2024/539/ https://hdl.handle.net/20.500.12008/43916 |
| Access Level: | acceso abierto |
| Palavra-chave: | Colorization Interactive ViT |
| Resumo: | 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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