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GarmentWeaver: Schema-Aware Structured Synthesis for Multimodal Sewing Patterns

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

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 valuable for digital garment creation. However, existing methods often model garment specifications as flat long sequences, which entangles garment structure with detailed parameters and leads to redundant components, inaccurate local details, and poor simulation compatibility. In this paper, we present GarmentWeaver, a schema-aware framework for multimodal Sewing

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Evidence & attribution

First collected: 2026-09-21T07:01:58.596Z. This is not the publication date.