移动试衣间：基于扩散模型的设备端虚拟试穿
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models
AI总结：
针对时尚电商虚拟试穿在移动端与隐私上的挑战，本文提出首个设备端扩散模型虚拟试穿系统，通过新颖技术流程与界面设计实现隐私保护与用户定制。
摘要：
时尚电子商务日益增长的数字化格局，呼唤着用于虚拟试穿衣物的交互式且用户友好的界面。传统试穿方法在适应多样化背景、姿态和主体方面面临挑战。虽然利用扩散模型最新进展的新方法已实现了更高质量的图像生成，但移动界面交付的人本维度与隐私问题在很大程度上仍未得到探索。我们提出了移动试衣间，这是首个基于扩散模型的设备端虚拟试穿系统。为解决诸如高质量衣物放置和面向移动设备的模型压缩等多重相互关联的技术挑战，我们提出了一种新颖的技术流程和界面设计，以实现隐私保护和用户定制。一个使用场景突显了我们的工具如何能为顾客提供无缝、交互式的虚拟试穿体验，并为时尚电子商务企业提供有价值的服务。
英文摘要：
The growing digital landscape of fashion e-commerce calls for interactive and user-friendly interfaces for virtually trying on clothes. Traditional try-on methods grapple with challenges in adapting to diverse backgrounds, poses, and subjects. While newer methods, utilizing the recent advances of diffusion models, have achieved higher-quality image generation, the human-centered dimensions of mobile interface delivery and privacy concerns remain largely unexplored. We present Mobile Fitting Room, the first on-device diffusion-based virtual try-on system. To address multiple inter-related technical challenges such as high-quality garment placement and model compression for mobile devices, we present a novel technical pipeline and an interface design that enables privacy preservation and user customization. A usage scenario highlights how our tool can provide a seamless, interactive virtual try-on experience for customers and provide a valuable service for fashion e-commerce businesses.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
