PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer
This addresses the need for realistic and personalized virtual try-on systems in the fashion industry, with incremental improvements over existing methods.
The paper tackles the problem of virtual try-on with arbitrary poses by proposing PT-VTON, a pose-transfer-based framework that enables efficient clothes transfer between model and user images, and it demonstrates performance that matches or surpasses other approaches in handling pose variations while preserving detailed appearances.
The virtual try-on system has gained great attention due to its potential to give customers a realistic, personalized product presentation in virtualized settings. In this paper, we present PT-VTON, a novel pose-transfer-based framework for cloth transfer that enables virtual try-on with arbitrary poses. PT-VTON can be applied to the fashion industry within minimal modification of existing systems while satisfying the overall visual fashionability and detailed fabric appearance requirements. It enables efficient clothes transferring between model and user images with arbitrary pose and body shape. We implement a prototype of PT-VTON and demonstrate that our system can match or surpass many other approaches when facing a drastic variation of poses by preserving detailed human and fabric characteristic appearances. PT-VTON is shown to outperform alternative approaches both on machine-based quantitative metrics and qualitative results.