智能服装版型生成技术研究综述OA

As the basic unit of apparel,garment pattern is the key bridge connecting design and production.With the increa-sing demand for garment digitalization and intellectualization,intelligent garment pattern generation technology has gradually become a research focus.This study systematically reviewed the current mainstream 3D model,image and multimodal-driven garment pattern generation methods,covering template matching,optimization algorithms and deep learning technology paths,and analyzed their application scenarios and core mechanisms.This paper extended to a comparison of construction methods and modal characteristics across representative apparel datasets and highlighted the quantitative and qualitative assessment ap-proaches that prevailed in current research.Future research focused on expanding knowledge systems,improving generaliza-tion,enhancing interactivity,and refining evaluation frameworks to inform the theoretical advancement and industrial applica-tion of intelligent garment pattern generation.