mlsanityData to 14 Oct 2026

VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction

arXiv 2503.12165 ↗First posted 15 Mar 2025cs.CVcited by 10

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Abstract (arXiv)

Virtual Try-On (VTON) is a transformative technology in e-commerce and fashion design, enabling realistic digital visualization of clothing on individuals. In this work, we propose VTON 360, a novel 3D VTON method that addresses the open challenge of achieving high-fidelity VTON that supports any-view rendering. Specifically, we leverage the equivalence between a 3D model and its rendered multi-view 2D images, and reformulate 3D VTON as an extension of 2D VTON that ensures 3D consistent results across multiple views. To achieve this, we extend 2D VTON models to include multi-view garments and clothing-agnostic human body images as input, and propose several novel techniques to enhance them, including: i) a pseudo-3D pose representation using normal maps derived from the SMPL-X 3D human model, ii) a multi-view spatial attention mechanism that models the correlations between features from different viewing angles, and iii) a multi-view CLIP embedding that enhances the garment CLIP features used in 2D VTON with camera information. Extensive experiments on large-scale real datasets and clothing images from e-commerce platforms demonstrate the effectiveness of our approach. Project page: https://scnuhealthy.github.io/VTON360.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 52 of its 64 references that are in the map. First posted on arXiv 15 Mar 2025.

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52 of 64 references.

References · 52

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38 more
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Citing papers per year: 2025: 5; 2026: 5.

10 papers.