Dataset Groups Activity Stream OutfitAnyone OutfitAnyone is a diffusion-based framework for 2D Virtual Try-On. It has garnered over 5,000 stars on GitHub and ranked within the top 20 among all the Hugging Face spaces. BibTex: @dataset{Ke_Sun_and_Jian_Cao_and_Qi_Wang_and_Linrui_Tian_and_Xindi_Zhang_and_Lian_Zhuo_and_Bang_Zhang_and_Liefeng_Bo_and_Wenbo_Zhou_and_Weiming_Zhang_and_Daiheng_Gao_2024, abstract = {OutfitAnyone is a diffusion-based framework for 2D Virtual Try-On. It has garnered over 5,000 stars on GitHub and ranked within the top 20 among all the Hugging Face spaces.}, author = {Ke Sun and Jian Cao and Qi Wang and Linrui Tian and Xindi Zhang and Lian Zhuo and Bang Zhang and Liefeng Bo and Wenbo Zhou and Weiming Zhang and Daiheng Gao}, doi = {10.57702/6nluap55}, institution = {No Organization}, keyword = {'2D Virtual Try-On', 'clothing', 'diffusion-based', 'person'}, month = {dec}, publisher = {TIB}, title = {OutfitAnyone}, url = {https://service.tib.eu/ldmservice/dataset/outfitanyone}, year = {2024} }
