Implementation of "Outfit Transformer:Outfit Representations for Fashion Recommendation"
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Updated
Jun 11, 2024 - Python
Implementation of "Outfit Transformer:Outfit Representations for Fashion Recommendation"
[ICME 2019] Source code and datasets for "Semi-supervised Compatibility Learning Across Categories for Clothing Matching"
[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"
Comprehensive recommendation system that recommends both similar and complementary products using the power of deep learning and visual embeddings
Easy-to-use, Modular and Extendible package of deep-learning based fashion recommendation models with PyTorch.
The system harnesses the power of embeddings produced by the SentenceTransformer model to depict product descriptions and utilizes the Faiss library to conduct efficient similarity searches.
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
A clothing retrieval and visual recommendation model for fashion images.
Diversity in Fashion Recommendation Using Semantic Parsing
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