WG-VITON: Wearing-Guide Virtual Try-On for Top and Bottom Clothes

TL;DR

WG-VITON is a novel virtual try-on system that uses an additional binary mask input to control and generate diverse wearing styles for top and bottom clothes in human images.

Contribution

It introduces a binary mask input to explicitly control wearing styles, addressing the variability in clothing combinations in virtual try-on systems.

Findings

Effectively generates images with specified top and bottom clothes.

Creates complex wearing styles like partly tucking in clothes.

Demonstrates improved control over clothing arrangement in generated images.

Abstract

Studies of virtual try-on (VITON) have been shown their effectiveness in utilizing the generative neural network for virtually exploring fashion products, and some of recent researches of VITON attempted to synthesize human image wearing given multiple types of garments (e.g., top and bottom clothes). However, when replacing the top and bottom clothes of the target human, numerous wearing styles are possible with a certain combination of the clothes. In this paper, we address the problem of variation in wearing style when simultaneously replacing the top and bottom clothes of the model. We introduce Wearing-Guide VITON (i.e., WG-VITON) which utilizes an additional input binary mask to control the wearing styles of the generated image. Our experiments show that WG-VITON effectively generates an image of the model wearing given top and bottom clothes, and create complicated wearing styles such as partly tucking in the top to the bottom