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

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Authors: Naai‐Jung Shih, Yan-Ting Chen
Cited by: 1
References: 29

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.

Fields of Study & Subjects

Image Processing and 3D Reconstruction Aesthetic Perception and Analysis 3D Surveying and Cultural Heritage

Publication details

Journal / source
Heritage
Publisher
MDPI AG
Volume
9
Issue
4
Pages
150–150
Publication date
7 April 2026
Language
EN