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

arXiv:2403.12965v1 Announce Type: new
Abstract: 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 …

abstract alignment arxiv construct cs.cv fidelity framework novel paper pipeline results solution standard style type via virtual virtual try-on