StreetTryOn, the new in-the-wild Virtual Try-On dataset, consists of 12,364 and 2,089 street person images for training and validation, respectively. It is derived from the large fashion retrieval dataset DeepFashion2, from which we filter out over 90% of DeepFashion2 images that are infeasible for try-on tasks (e.g., non-frontal view, large occlusion, dark environment, etc.). Combining with the garment and person images in VITON-HD, we obtain a comprehensive suite of in-domain and cross-domain try-on tasks that have garment and person inputs from various sources, including Shop2Model, Model2Model, Shop2Street, and Street2Street.
Variants: StreetTryOn
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
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Virtual Try-on | Street TryOn | Street TryOn: Learning In-the-Wild Virtual … | 2023-11-27 |
Recent papers with results on this dataset: