AHCI RESEARCH GROUP

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Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2025

Zhao, S.; Huang, Y.; He, X.; Tong, X.; Li, X.; Wu, D.

Reviving Mural Art through Generative AI: A Comparative Study of AI-Generated and Hand-Crafted Recreations Proceedings Article

In: Conf Hum Fact Comput Syst Proc, Association for Computing Machinery, 2025, ISBN: 979-840071394-1 (ISBN).

Abstract | Links | BibTeX | Tags: Biographies, Comparatives studies, Culture heritage, Dunhuang mural, Generative AI, Historic Preservation, Immersive, Interactive platform, Labour-intensive, Large-scales, Mural recreation, User study, Virtual Reality

@inproceedings{zhao_reviving_2025,

title = {Reviving Mural Art through Generative AI: A Comparative Study of AI-Generated and Hand-Crafted Recreations},

author = {S. Zhao and Y. Huang and X. He and X. Tong and X. Li and D. Wu},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005707513&doi=10.1145%2f3706598.3714157&partnerID=40&md5=aab480eed29cdb31cc7720f915857b52},

doi = {10.1145/3706598.3714157},

isbn = {979-840071394-1 (ISBN)},

year  = {2025},

date = {2025-01-01},

booktitle = {Conf Hum Fact Comput Syst Proc},

publisher = {Association for Computing Machinery},

abstract = {Virtual reality (VR) provides an immersive and interactive platform for presenting ancient murals, enhancing users' understanding and appreciation of these invaluable culture treasures. However, traditional hand-crafted methods for recreating murals in VR are labor-intensive, time-consuming, and require significant expertise, limiting their scalability for large-scale mural scenes. To address these challenges, we propose a comprehensive pipeline that leverages generative AI to automate the mural recreation process. This pipeline is validated by the reconstruction of Foguang Temple scene in Dunhuang Murals. A user study comparing the AI-generated scene with a hand-crafted one reveals no significant differences in presence, authenticity, engagement and enjoyment, and emotion. Additionally, our findings identify areas for improvement in AI-generated recreations, such as enhancing historical fidelity and offering customization. This work paves the way for more scalable, efficient, and accessible methods of revitalizing cultural heritage in VR, offering new opportunities for mural preservation, demonstration, and dissemination using VR. © 2025 Copyright held by the owner/author(s).},

keywords = {Biographies, Comparatives studies, Culture heritage, Dunhuang mural, Generative AI, Historic Preservation, Immersive, Interactive platform, Labour-intensive, Large-scales, Mural recreation, User study, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}