Diffusion Models for Generative Outfit Recommendation - Session T2.2
Association for Computing Machinery (ACM) via YouTube
Overview
Explore a 12-minute conference talk presented at SIGIR 2024 that delves into the application of diffusion models for generative outfit recommendation. Learn how authors Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, and Xiangnan He leverage advanced machine learning techniques to revolutionize personalized fashion recommendations. Gain insights into the intersection of recommender systems and diffusion models, and discover how these innovative approaches are shaping the future of AI-driven fashion curation.
Syllabus
SIGIR 2024 T2.2 [fp] Diffusion Models for Generative Outfit Recommendation
Taught by
Association for Computing Machinery (ACM)