人工智能驱动下服装个性化定制的技术路径与产业转型  

Technological Pathways and Industrial Transformation for Personalized Garment Customization Driven by Artificial Intelligence

作　　者：刘长云 任文东[1] LIU Changyun;REN Wendong(School of Art and Design,Dalian Polytechnic University,Dalian 116034,China)

机构地区：[1]大连工业大学艺术设计学院,辽宁大连116034

出　　处：《西部皮革》2025年第5期35-37,共3页West Leather

基　　金：河南省高校人文社会科学研究一般项目(2022-ZDJH-00486)。

摘　　要：人工智能技术正驱动服装定制领域从经验驱动向数据智能范式跃迁。文章通过构建“需求感知-智能生成-动态优化”技术框架,系统解析人工智能在个性化服装定制中的革新路径,基于多源数据融合的智能人体建模技术突破传统量体限制,实现动态体型预测与虚拟试衣;生成式设计系统通过风格迁移算法与用户偏好挖掘,将定制周期大幅缩短;生产端的智能决策模型则使面料利用率显著提升,推动C2M模式规模化落地。Artificial intelligence(AI)is driving a paradigm shift in garment customization from experience-based approaches to data-driven intelligence.This study constructs a"demand perception-intelligent generation-dynamic optimization"framework to systematically analyze AI's transformative role in personalized garment customization.Intelligent body modeling,enabled by multi-source data fusion,overcomes traditional measurement limitations and achieves dynamic body shape prediction and virtual fitting.Generative design systems,leveraging style transfer algorithms and user preference mining,significantly shorten the customization cycle.On the production side,intelligent decision-making models optimize fabric utilization,facilitating large-scale implementation of the consumer-to-manufacturer model.

关 键 词：人工智能 服装个性化定制 深度学习 消费者体验 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TS941.2[自动化与计算机技术—控制科学与工程]