<p class="jove_content">This protocol describes a deep learning workflow for semantic segmentation, reconstruction, and artistic style synthesis of intangible cultural heritage patterns using transformer-based feature extraction, adversarial reconstruction, and spatially adaptive image generation to support digital preservation and creative heritage applications.</p>

semantic-segmentationguided-reconstruction-artistic-style-synthesis

Semantic Segmentation&#8211;Guided Reconstruction and Artistic Style Synthesis of Intangible Cultural Heritage Patterns Using a Deep Learning Framework

The digital preservation and reconstruction of intangible cultural heritage (ICH) patterns have attracted increasing attention with the advancement of ...

Institution - Guangdong Engineering Polytechnic

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