Garments2Look Paper : Garments2Look: A Multi Reference Dataset for High Fidelity Outfit Level Virtual Try On with Clothing and Accessories Authors : Junyao Hu, Zhongwei Cheng, Waikeung Wong, Xingxing Zou Paper: arXiv, CVPR, 中译版 Project Page Poster Dataset Comparison Results on Test Set Abstract Virtual try on (VTON) has advanced single garment visualization, yet real world fashion centers on full outfits with multiple garments, accessories, fine grained categories, layering, and diverse styling, remaining beyond current VTON systems. Existing datasets are category limited and lack outfit diversity. We introduce Garments2Look, the first large scale multimodal dataset for outfit level VTON, comprising 80K many garments to one look pairs across 40 major categories and 300+ fine grained subcategories. Each pair includes an outfit with 3 12 reference garment images (Average 4.48), a model image wearing the outfit, and detailed item and try on textual annotations. To balance authenticity and diversity, we propose a synthesis pipeline. It involves heuristically constructing outfit lists before generating try on results, with the entire process subjected to strict automated filtering and h…
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