AI RESEARCH
MV-Fashion: Towards Enabling Virtual Try-On and Size Estimation with Multi-View Paired Data
arXiv CS.CV
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ArXi:2603.08147v1 Announce Type: new Existing 4D human datasets fall short for fashion-specific research, lacking either realistic garment dynamics or task-specific annotations. Synthetic datasets suffer from a realism gap, whereas real-world captures lack the detailed annotations and paired data required for virtual try-on (VTON) and size estimation tasks. To bridge this gap, we