Advancing the generation and integration of traditional motifs through AI-based techniques

This study introduces an approach to blending abstract and representational art forms, focusing on two traditional Thai motifs: Ban Chiang and Sangkhalok. Using generative artificial intelligence (AI) techniques such as image fusion, text-guided image generation, and Low-Rank Adaptation (LoRA) fine-tuning, the research explores how modern technology can both preserve and enhance the cultural heritage of these motifs while incorporating contemporary design elements. Image fusion effectively generated Ban Chiang motifs with minimal computational resources, while LoRA fine-tuning significantly enhanced Sangkhalok motifs by introducing modern features. The fusion of Ban Chiang’s abstract qualities with Sangkhalok’s representational style benefited from LoRA fine-tuning, leading to improved motif integration and creativity, though challenges such as difficulty in controlling color accuracy were noted. This research serves as a foundational exploration of how AI can be a powerful resource for future cultural preservation and artistic innovation. While not a final design tool for artisans, it highlights the potential of AI-based generative techniques for preserving and innovating traditional motifs, emphasizing the need for further refinement in achieving precise blending of artistic forms.

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Publication Details

Journal
Discover Artificial Intelligence
Published
2026-01-08
DOI
https://doi.org/10.1007/s44163-025-00642-w
Primary Topic
Aesthetic Perception and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancing the generation and integration of traditional motifs through AI-based techniques

Thitirat Siriborvornratanakul, Supparesk Rittikulsittichai
Discover Artificial Intelligence
Aesthetic Perception and Analysis
article

Advancing the generation and integration of traditional motifs through AI-based techniques

Thitirat Siriborvornratanakul, Supparesk Rittikulsittichai
article en

Abstract

This study introduces an approach to blending abstract and representational art forms, focusing on two traditional Thai motifs: Ban Chiang and Sangkhalok. Using generative artificial intelligence (AI) techniques such as image fusion, text-guided image generation, and Low-Rank Adaptation (LoRA) fine-tuning, the research explores how modern technology can both preserve and enhance the cultural heritage of these motifs while incorporating contemporary design elements. Image fusion effectively generated Ban Chiang motifs with minimal computational resources, while LoRA fine-tuning significantly enhanced Sangkhalok motifs by introducing modern features. The fusion of Ban Chiang’s abstract qualities with Sangkhalok’s representational style benefited from LoRA fine-tuning, leading to improved motif integration and creativity, though challenges such as difficulty in controlling color accuracy were noted. This research serves as a foundational exploration of how AI can be a powerful resource for future cultural preservation and artistic innovation. While not a final design tool for artisans, it highlights the potential of AI-based generative techniques for preserving and innovating traditional motifs, emphasizing the need for further refinement in achieving precise blending of artistic forms.

Discover Artificial IntelligenceVol. 6(1)
National Institute of Development Administration (TH)
Sustainable cities and communities
Openalex Percentile: Top 96%
Aesthetic Perception and Analysis
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