Inpainting-based Restoration for Visual Design Generation from Damaged Painted Cultural Heritage
Jungmin Lee
| Visual Intelligence Lab
This study proposes an AI framework that restores damaged painting heritage via inpainting for commercial design generation. Restoration significantly improved design quality, and the results were applied to textiles, packaging, and interior materials, meeting market standards. This approach reinterprets cultural heritage while preserving its value and ensuring marketability.
Jungmin Lee is currently pursuing AI imaging research at the Department of Advanced Imaging, GSAIM, Chung-Ang University. Research interests focus on exploring digital preservation and utilization strategies for cultural heritage through the integration of cultural heritage and AI technology.





