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
Wear-Any-Way. Different from previous methods, Wear-Any-Way 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. Wear-Any-Way enables more liberated and flexible
expressions of the attires, holding profound implications in the fashion
industry.