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Garment heritages are commonly missing evidence of restoration because of their age and complex preservation environment. Traditional restoration methods rely on the subjective experience of restoration personnel. Its restoration results are difficult to achieve accuracy and objectivity, exposing precious cultural relics to the risk of irreversible secondary damage. Taking the Pale Brown Lace-encrusted Unlined Coat as an example, this study puts forward a method of garment heritages restoration based on digital virtual technology. After fully researching the garment background information, we used deep learning and virtual twin technology to draw and cut the garment pieces, arrange and sew the garments, and complete the stained patterns. The results show that our method can restore the original appearance of the heritages relatively well, providing a new method reference for the inheritance and digital transmission of traditional garment heritages.
Chen et al. (Tue,) studied this question.