AI RESEARCH
Exploring AI in Fashion: A Review of Aesthetics, Personalization, Virtual Try-On, and Forecasting
arXiv CS.LG
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ArXi:2101.08301v2 Announce Type: replace-cross Fashion-focused artificial intelligence has rapidly advanced in recent years, driven by deep learning and its deployment in recommender systems, detection, retrieval, and analytics. Yet several consumer-facing domains remain comparatively under-surveyed despite their practical impact. This work provides a comprehensive review of methods, datasets, and evaluation metrics across four such domains: aesthetics, personalization, virtual try-on, and forecasting.