Dataset Groups Activity Stream DeepFashion dataset The DeepFashion dataset is a large-scale dataset for person image synthesis, containing 101,966 pairs of images with different poses and clothing. BibTex: @dataset{Jinsong_Zhang_and_Xingzi_Liu_and_Kun_Li_2024, abstract = {The DeepFashion dataset is a large-scale dataset for person image synthesis, containing 101,966 pairs of images with different poses and clothing.}, author = {Jinsong Zhang and Xingzi Liu and Kun Li}, doi = {10.57702/ty1l6x3o}, institution = {No Organization}, keyword = {'DeepFashion', 'High-Resolution Fashion Images', 'Variational Autoencoders', 'clothes', 'fashion', 'human pose transfer', 'image', 'image generation', 'image synthesis', 'person image synthesis', 'person images', 'pose-guided human image generation', 'recognition', 'retrieval'}, month = {dec}, publisher = {TIB}, title = {DeepFashion dataset}, url = {https://service.tib.eu/ldmservice/dataset/deepfashion-dataset}, year = {2024} }