SOURCE-LINKED INTELLIGENCE
AgenticGen: Reward-Guided Agentic Video Generation for Advertising
Advertising video generation is not only a video synthesis task, but also a product-conditioned reasoning problem whose success is measured by online business metrics. Recent video foundation models can generate realistic clips from multimodal conditions, yet they do not optimize how a product should be transformed into an effective advertisement or how future generation should be improved from online business feedback. To close this loop, we propose AgenticGen, a reward-guided agentic framework that decomposes advertising video generation into two trainable reasoning stages, strategy selectio
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T07:35:35.000Z
First collected: 2026-09-21T07:01:58.596Z. This is not the publication date.