Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs

The outfit generation problem involves recommending a complete outfit to a user based on their interests. Existing approaches focus on recommending items based on anchor items or specific query styles but do not consider customer interests in famous characters from movie, social media, etc. In this paper, we define a new Character-based Outfit Generation (COG) problem, designed to accurately interpret character information and generate complete outfit sets according to customer specifications such as age and gender. To tackle this problem, …

anchor characters cs.ai cs.ir cs.lg customer etc extraction focus llms media movie movıe paper query social social media style via vision