Application of deep learning for transformation of Chinese traditional cultural narrative patterns and enhancement of cultural identity empowered by AIGC
Yan Liu, Hongmei Wang · 2025
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Description
Yan Liu and Hongmei Wang build an AI system that generates stories and images in the style of traditional Chinese culture, in a 2025 study. Their goal is twofold: steer the output so it stays true to classic narrative patterns, and strengthen readers' cultural identity. The system joins text, image, and style modeling on top of known image and vision-language models, with a light adapter for style.
On quality tests the system beat rival methods, and users rated its stories as moving and true to the source imagery. Scores for image fidelity, story fit, and question answering all favored the new approach. The authors present it as a scalable path for blending AI with heritage content.
Catalog record
| CREATOR | Yan Liu, Hongmei Wang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 68 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |