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AI-Powered digital puppet creation and collaborative shadow theater integration

Ioannidis Christos

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Summary

This diploma thesis introduces significant advancements to the digital storytelling platform eShadow by integrating Artificial Intelligence (AI)-powered puppet creation workflows and real-time collaborative features. These enhancements address limitations in accessibility, usability, and multi-user interactivity, broadening the platform’s applicability in educational and artistic settings.Leveraging state-of-the-art machine learning and computer vision techniques, the proposed system transforms diverse inputs—ranging from real-world objects to hand-drawn images—into digital puppets, overcoming constraints in previous approaches. The solution integrates high-resolution image processing, automated background removal, and generative AI to create aesthetically cohesive puppets with minimal user intervention. A fine-tuned LoRA (Low-Rank Adaptation) model is employed to replicate the traditional shadow theater art style, ensuring stylistic authenticity.The platform’s collaborative features, powered by smartphone-based touch interfaces and networking capabilities, enable simultaneous multi-user control, fostering engagement and creativity in group environments. Rigorous usability evaluations and performance testing confirm the system’s effectiveness in reducing idle time, enhancing workflow efficiency, and improving the overall user experience.By blending traditional storytelling methods with modern technology, this work contributes to preserving cultural heritage while making shadow theater accessible to a wider audience through innovative digital tools.

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