

Manganinja
Overview :
MangaNinja is a reference-guided line art coloring method that ensures precise transcription of character details through its unique design. This includes a block-shuffling module that facilitates corresponding learning between reference colored images and target line art, as well as a point-driven control scheme that achieves fine-grained color matching. The model has shown outstanding performance in self-collected benchmarks, surpassing existing solutions' coloring accuracy. Furthermore, its interactive point control demonstrates great potential when dealing with complex scenarios such as extreme poses, shadows, and cross-character coloring, challenges that current algorithms struggle with. MangaNinja was co-developed by researchers from the University of Hong Kong, Hong Kong University of Science and Technology, Tongyi Lab, and Ant Group, with the related paper published on arXiv and the code open-sourced.
Target Users :
MangaNinja is primarily aimed at professional comic creators, illustrators, and designers who need to colorize line art. It helps them complete coloring tasks quickly and accurately, enhancing creative efficiency while providing fine control during the handling of complex scenes and details, thereby inspiring new creative ideas.
Features
Reference-guided line art coloring: Provides coloring guidance via reference images for accurate color matching.
Block-shuffling module: Enhances the model's automatic matching ability by promoting corresponding learning between reference colored images and target line art.
Point-driven control scheme: Allows for fine-grained color matching, enabling users to adjust colors precisely through point control.
Interactive point control: Provides finer control when handling complex scenarios such as extreme poses, shadows, and cross-character coloring.
Multi-reference coordination: Allows users to select colors from specific areas across multiple reference images, effectively resolving conflicts between visual elements.
Self-collected benchmarks: Validates the model's superiority through extensive data, ensuring reliability and accuracy in practical applications.
How to Use
1. Visit the MangaNinja project page to download the relevant code and models.
2. Prepare reference images and the line art that needs coloring.
3. Input the reference images and line art into the model, which will automatically perform color matching.
4. Use the point-driven control scheme to adjust colors precisely for finer coloring effects.
5. For complex scenes, such as extreme poses or multiple reference images, use interactive point control to ensure accuracy and harmony in colors.
6. After coloring is complete, export the final colored images for further creative or design work.
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