Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment

Mengting Chen*, Xi Chen, Zhonghua Zhai, Chen Ju, Xuewen Hong, Jinsong Lan, Shuai Xiao ;

"This paper introduces a novel framework for virtual try-on, termed . Different from previous methods, is a customizable solution. Besides generating high-fidelity results, our method supports users to precisely manipulate the wearing style. To achieve this goal, we first construct a strong pipeline for standard virtual try-on, supporting single/multiple garment try-on and model-to-model settings in complicated scenarios. To make it manipulable, we propose sparse correspondence alignment which involves point-based control to guide the generation for specific locations. With this design, Wear-Any-Way gets state-of-the-art performance for the standard setting and provides a novel interaction form for customizing the wearing style. For instance, it supports users to drag the sleeve to make it rolled up, drag the coat to make it open, and utilize clicks to control the style of tuck, etc. enables more liberated and flexible expressions of the attires, holding profound implications in the fashion industry. Project page is mengtingchen.github.io/wear-any-way-page."