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English(EN) GarmentWeaver: Schema-Aware Structured Synthesis for Multimodal Sewing Patterns

GarmentWeaver框架生成多模态缝纫图案

研究人员开发了GarmentWeaver,一个旨在从草图和文本描述等多种模态输入生成可执行缝纫图案的新框架。这种模式感知方法构建了分层目标,与将服装规格视为扁平序列的现有方法相比,提高了准确性和模拟兼容性。该框架利用了预训练的视觉语言模型,并结合了可感知可行性的正则化,以确保输出在结构上有效且可用于模拟。 AI

影响 该框架通过提高AI生成缝纫图案的准确性,有可能实现更精确、更高效的数字化服装创作。

排序理由 该条目是发表在arXiv上的一篇研究论文,详细介绍了一种特定AI应用的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

GarmentWeaver框架生成多模态缝纫图案

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该条目是发表在arXiv上的一篇研究论文,详细介绍了一种特定AI应用的新框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yinwen Lu, Weihao Luo, Yueqi Zhong ·

    GarmentWeaver: 面向多模态缝纫图案的模式感知结构化合成

    arXiv:2608.30550v1 Announce Type: new Abstract: Multimodal Sewing pattern generation aims to infer executable sewing patterns from design cues such as sketches and textual descriptions. As an interpretable and simulation-compatible representation, sewing patterns are particularly…