AI- and AR-Assisted Reactivation of Chinese Paper Cutting Using Temple Arts and Ancient Paintings

Traditional Chinese paper cutting represents an important intangible cultural heritage. Can artificial intelligence (AI) reactivate the heritage in a new style? The aim of this study was to use AI to reactivate temple arts and paintings by converting them into the style of traditional Chinese paper cuttings. Thirty sets of old images taken 18 years ago and 10 images of ancient paintings from the National Palace Museum were restyled in Nano Banana (Pro)®. Related design elements included integrated isolated parts, visual depth, details, and solid and void alternation. Three-dimensional stone and wood sculptures were reconstructed using Rodin® or Meshy® and converted into AR models in Sketchfab®. From the generated 2D images and their 3D representations, a reactivated style of Chinese paper cutting was developed that can be interacted with in the AR smartphone platform or RP in the physical world. Approximately 370 images were regenerated, and 167 versions of models were reconstructed. AI should be considered part of culture. Rethinking traditional folk art highlights demand for the cross-reference and cross-reactivation of heterogeneous art forms. This AI model interprets novel 3D structural and visual details and creates a unique 2D and 3D identity for each subject.

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Publication Details

Journal
Heritage
Published
2026-04-07
DOI
https://doi.org/10.3390/heritage9040150
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
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article

AI- and AR-Assisted Reactivation of Chinese Paper Cutting Using Temple Arts and Ancient Paintings

Yan-Ting Chen, Naai-Jung Shih
Heritage
Image Processing and 3D Reconstruction
article

AI- and AR-Assisted Reactivation of Chinese Paper Cutting Using Temple Arts and Ancient Paintings

Yan-Ting Chen, Naai-Jung Shih
article en

Abstract

Traditional Chinese paper cutting represents an important intangible cultural heritage. Can artificial intelligence (AI) reactivate the heritage in a new style? The aim of this study was to use AI to reactivate temple arts and paintings by converting them into the style of traditional Chinese paper cuttings. Thirty sets of old images taken 18 years ago and 10 images of ancient paintings from the National Palace Museum were restyled in Nano Banana (Pro)®. Related design elements included integrated isolated parts, visual depth, details, and solid and void alternation. Three-dimensional stone and wood sculptures were reconstructed using Rodin® or Meshy® and converted into AR models in Sketchfab®. From the generated 2D images and their 3D representations, a reactivated style of Chinese paper cutting was developed that can be interacted with in the AR smartphone platform or RP in the physical world. Approximately 370 images were regenerated, and 167 versions of models were reconstructed. AI should be considered part of culture. Rethinking traditional folk art highlights demand for the cross-reference and cross-reactivation of heterogeneous art forms. This AI model interprets novel 3D structural and visual details and creates a unique 2D and 3D identity for each subject.

HeritageVol. 9(4)
National Taiwan University of Science and Technology (TW)
Sustainable cities and communities
Openalex Percentile: Top 31%
Image Processing and 3D Reconstruction
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