TaobaoTmall-AlgorithmProducts/Tstars-VTON

Tstars-VTON是一个全面的基准数据集，旨在评估虚拟试穿模型在真实场景中的应用能力。数据集包含1780个随机配对的样本，覆盖5种服装类别（上衣、外套、裤子、裙子、连衣裙）和3种配饰类别（鞋子、包包、帽子），共计465个细粒度子类别。数据集具有高复杂度的多服装/配饰试穿场景、多样化的数据覆盖和细粒度属性、隐私保护机制、灵活的非配对设置以及与人类偏好一致的全面评估范式等关键特征。

Tstars-VTON is a comprehensive benchmark designed to evaluate whether a virtual try-on model is truly capable of functioning in real-world scenarios. In total, Tstars-VTON comprises 1780 random paired samples across 5 garment categories (up, coat, pant, skirt, dress) and 3 accessory categories (shoes, bag, hat), covering a diverse range of 465 fine-grained subcategories. The dataset features high-complexity multi-garment/accessory try-on scenarios, diverse data coverage with fine-grained attributes, a privacy-preserving mechanism, flexible unpaired settings, and a comprehensive evaluation paradigm aligned with human preferences.