Using AI to Reconstruct and Preserve 3D Temple Art with Old Images
How can AI help us connect to the past in terms of conservation? How can 17-year-old photos be helpful in renewed preservation efforts? This research aims to use AI to connect both in a seamless 3D reconstruction of heritage from images taken of Gongfan Palace, Yunlin, Taiwan. AI-assisted 3D modelin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Technologies |
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| Online Access: | https://www.mdpi.com/2227-7080/13/6/229 |
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| Summary: | How can AI help us connect to the past in terms of conservation? How can 17-year-old photos be helpful in renewed preservation efforts? This research aims to use AI to connect both in a seamless 3D reconstruction of heritage from images taken of Gongfan Palace, Yunlin, Taiwan. AI-assisted 3D modeling was used to reconstruct the details of these images across different 3D platforms of the 3DGS or NeRF models generated by Postshot<sup>®</sup>, RODIN<sup>®</sup>, and KIRI Engine<sup>®</sup>. Mesh and point models created using Zephyr<sup>®</sup> were referred to and assessed in three sets. The consistent and inconsistent reconstructed results also included AI-assisted modeling outcomes in Stable Diffusion<sup>®</sup>- and Postshot<sup>®</sup>-based animations, followed by a 3D assessment and section-based composition analysis. The AI-assisted environment concluded with a recursive reconstruction involving 3D models and 2D images. AI assisted the 3D modeling process in an alternative approach, producing extraordinary structural and visual details. AI-trained models can be assessed and their use extended to composition analysis by section. Evolved documentation and interpretation using AI enables new structures and the management of resources, formats, and interfaces as part of continuous preservation efforts. |
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| ISSN: | 2227-7080 |