AI RESEARCH

VideoAgent: Personalized Synthesis of Scientific Videos

arXiv CS.AI

ArXi:2509.11253v2 Announce Type: replace The technical complexity of research papers often limits their reach, necessitating accessible formats like scientific videos to disseminate key insights through engaging narration. However, existing automated methods primarily focus on static posters or slide presentations that remain template-bound and linear. Shifting to audience-adaptive video synthesis requires addressing non-linear narrative orchestration and the joint synchronization of disparate multimodal assets. We