SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Making
Sherry X. Chen, Alex Christopher Lim, Yimeng Liu, Pradeep Sen, and Misha Sra

TL;DR
SiCo is an interactive virtual try-on system that enables users to visualize different clothing sizes on their bodies, improving decision-making and potentially reducing online shopping returns.
Contribution
Introduces SiCo, a novel size-controllable VTO system that enhances user interaction with garments and provides size insights for better online shopping decisions.
Findings
User study shows improved size assessment accuracy.
Increased user confidence in clothing size selection.
Potential to reduce online clothing return rates.
Abstract
Virtual try-on (VTO) applications aim to replicate the in-store shopping experience and enhance online shopping by enabling users to interact with garments. However, many existing tools adopt a one-size-fits-all approach when visualizing clothing items. This approach limits user interaction with garments, particularly regarding size and fit adjustments, and fails to provide direct insights for size recommendations. As a result, these limitations contribute to high return rates in online shopping. To address this, we introduce SiCo, a new online VTO system that allows users to upload images of themselves and interact with garments by visualizing how different sizes would fit their bodies. Our user study demonstrates that our approach significantly improves users' ability to assess how outfits will appear on their bodies and increases their confidence in selecting clothing sizes that…
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Taxonomy
TopicsSystems Engineering Methodologies and Applications
MethodsALIGN
