Business Needs

A publishing company required an AI-driven solution to automate the comic coloring process. Their objectives included:

• Reducing the costs, effort, and time required for manual coloring, providing a significant competitive advantage in the publishing industry.
• Developing a system that learns character characteristics from previously colored stories to accurately color new comics.

AI Solution

To address these needs, an AI-powered comic coloring system was implemented with the following capabilities:

• Image Segmentation Technology: Divides images into smaller regions to allow for precise and adaptive color changes, ensuring accuracy in character and background details.
• Deep Learning-Based Image Generation: Converts black-and-white comic images into fully colored versions by learning from past colored illustrations.

Results: The AI-powered system streamlined the comic coloring process, reducing manual work and significantly lowering production costs. By leveraging AI to automate coloring, publishers enhanced workflow efficiency, accelerated comic production timelines, and maintained high-quality artistic consistency, giving them a competitive market advantage.

Technologies

• Languages and frameworks: Python 3, OpenCV, Tensorflow
• Machine Learning (Deep Learning): Image Generation, Image Segmentation