现代信息科技2025，Vol.9Issue(5)：17-24,8.DOI:10.19850/j.cnki.2096-4706.2025.05.004
基于外观流和扩散模型的虚拟试衣
Virtual Try-on Based on Appearance Flow and Diffusion Model
陈相宜1
作者信息
- 1. 西南交通大学 信息科学与技术学院,四川 成都 610031
- 折叠
摘要
Abstract
This paper investigates the research status of virtual try-on field at home and abroad,including the application situation of technologies based on Generative Adversarial Network and Diffusion Model,and summarizes various datasets of virtual try-on.Based on related theories,it studies the virtual try-on based on appearance flow and Diffusion Model.Firstly,the Local-Flow Global-Parsing(LFGP)model is used to transform the target clothing to conform to the human posture.Then,the Diffusion Model is used to synthesize the characters and clothing,and the details are processed to complete the final try-on.Qualitative and quantitative analysis of the experimental results show that compared with previous studies,clothing transformation based on LFGP can better handle the clothing details and the connection parts between characters and clothing,and the Diffusion Model can also improve flexibility during the try-on synthesis processing while maintaining the authenticity,providing reference for further research of virtual try-on technologies.关键词
虚拟试衣/深度学习/扩散模型/外观流Key words
virtual try-on/Deep Learning/Diffusion Model/appearance flow分类
计算机与自动化引用本文复制引用
陈相宜..基于外观流和扩散模型的虚拟试衣[J].现代信息科技,2025,9(5):17-24,8.
