TencentARC/ColorFlow
A diffusion-based framework for automatic colorization of image sequences with identity preservation.
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ColorFlow implements a three-stage retrieval-augmented pipeline for colorizing image sequences such as cartoons or comics while preserving character and object identity across frames. The approach uses a dual-branch design with separate branches for color identity extraction and colorization, leveraging diffusion models’ self-attention mechanism for in-context learning and color matching. Unlike previous methods that require per-identity fine-tuning, this framework provides a robust and generalizable solution suitable for industrial applications.
Frequently asked
- What is TencentARC/ColorFlow?
- A diffusion-based framework for automatic colorization of image sequences with identity preservation.
- Is ColorFlow open source?
- Yes — TencentARC/ColorFlow is an open-source project tracked on heatdrop.
- What language is ColorFlow written in?
- TencentARC/ColorFlow is primarily written in Python.
- How popular is ColorFlow?
- TencentARC/ColorFlow has 462 stars on GitHub.
- Where can I find ColorFlow?
- TencentARC/ColorFlow is on GitHub at https://github.com/TencentARC/ColorFlow.