SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Making
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Abstract (arXiv)
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 align with their preferences. Based on our evaluation, we believe that SiCo has the potential to reduce return rates and transform the online clothing shopping experience.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 18 of its 57 references that are in the map. First posted on arXiv 5 Aug 2024.
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18 of 57 references.
References · 18
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- 2022Style-Based Global Appearance Flow for Virtual Try-Oncited by 88
- 2020Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-Oncited by 77
- 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
- 2021Toward Accurate and Realistic Outfits Visualization with Attention to Detailscited by 33
- 2023Stable Diffusion Exposed: Gender Bias from Prompt to Imagecited by 25
- 2021Per Garment Capture and Synthesis for Real-time Virtual Try-oncited by 5
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