papersSEP 10 04:00 UTC
AgenticGen: Reward-Guided Agentic Video Generation for Advertising
A new arXiv preprint introduces AgenticGen, a framework that treats advertising video creation as an agentic reasoning task shaped by reward signals rather than simple clip synthesis. The method conditions generation on a specific product and aims to optimize for online business outcomes, building on video foundation models that can produce realistic footage from multimodal inputs. The paper appears as a cross-listing in arXiv's AI and computational linguistics categories.