Scholarlink

This paper compares two accessible 3D digitisation workflows—photogrammetry and Gaussian Splatting—applied to garments from a corporate fashion archive. Fashion heritage poses unique challenges due to material softness, layering, and symbolic complexity, requiring models suited to both documentation and storytelling. We evaluate each workflow in archival and exhibition contexts across four criteria: visual fidelity, interactivity, file size, and adaptability. Results show trade-offs between structural accuracy and visual richness, depending on use. We also highlight opportunities for integrating lightweight 3D models into XR environments and AI-driven curatorial systems. Digital twins thus emerge as relational tools for reactivating fashion heritage within immersive, intelligent cultural ecosystems.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The Digital Garment: A Comparative Study of 3D Digitisation Techniques for Fashion Heritage

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Eleonora Stacchiotti,
  • Pasquale Cascarano,
  • Jacopo Megliorardi,
  • Gustavo Marfia

摘要

This paper compares two accessible 3D digitisation workflows—photogrammetry and Gaussian Splatting—applied to garments from a corporate fashion archive. Fashion heritage poses unique challenges due to material softness, layering, and symbolic complexity, requiring models suited to both documentation and storytelling. We evaluate each workflow in archival and exhibition contexts across four criteria: visual fidelity, interactivity, file size, and adaptability. Results show trade-offs between structural accuracy and visual richness, depending on use. We also highlight opportunities for integrating lightweight 3D models into XR environments and AI-driven curatorial systems. Digital twins thus emerge as relational tools for reactivating fashion heritage within immersive, intelligent cultural ecosystems.