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Main Product Detection with Graph Networks for Fashion
Main product detection is a crucial step of vision-based fashion product feed parsing pipelines, focused in identifying the bounding boxes that contain the product being sold in... -
Fashionpedia-Taste
Fashionpedia-Taste is an explainable fashion taste dataset that challenges computer vision systems to predict whether a subject like a fashion image and provide explanations... -
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. -
DeepFashion Multimodal dataset
DeepFashion Multimodal dataset contains 12701 full-body images in 24 categories -
UBCFashion
UBCFashion is a monocular video dataset containing 500 human videos with natural fashion motions. -
FashionCLIP
FashionCLIP is a large model built for fashion, used to introduce GradREC, a new type of recommendation experience. -
Clothes-V1
Fine-grained sketch-based image retrieval (FG-SBIR) aims to minimize the distance between sketches and corresponding images in the embedding space. -
Clothing1M
Supervised learning of deep neural networks heavily relies on large-scale datasets annotated by high-quality labels. In contrast, mislabeled samples can significantly degrade... -
Polyvore-U dataset
Polyvore-U dataset for outfit recommendation and fashion image synthesis -
iFashion dataset
iFashion dataset for outfit recommendation and fashion image synthesis -
DiFashion: Generative Outfit Recommendation
Generative Outfit Recommendation (GOR) task, DiFashion model for personalized outfit generation and recommendation -
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. -
DeepFashion2
DeepFashion2 is a large-scale fashion image benchmark with comprehensive tasks and annotations. It contains 491K images, each of which is richly labeled with style, scale,...