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. **This is an MLBriefs article, the source code has not been reviewed!** **The original source code is [[available here|https://github.com/pmh9960/iColoriT]] (last checked 2024/05/16).**
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Garcia et al. (2024) studied this question.
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