AI RESEARCH
Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models
arXiv CS.CL
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ArXi:2605.12138v1 Announce Type: cross Generating realistic and user-preferred advertisements is a key challenge in e-commerce. Existing approaches utilize multiple independent models driven by click-through-rate (CTR) to controllably create attractive image or text advertisements. However, their pipelines lack cross-modal perception and rely on CTR that only reflects average preferences. Therefore, we explore jointly generating personalized image-text advertisements from historical click behaviors.