AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation

Authors

  • Kuizong Wu Yep AI, Melbourne, Australia
  • Shaozu Yuan Yep AI, Melbourne, Australia
  • Chang Shen Yep AI, Melbourne, Australia
  • Long Xu Yep AI, Melbourne, Australia
  • Meng Chen Yep AI, Melbourne, Australia

DOI:

https://doi.org/10.1609/aaai.v39i28.35377

Abstract

In this paper, we introduce AutoMV, an autonomous agent framework designed for generating real estate marketing videos. The framework integrates a diverse set of existing models into a tool library, allowing the agent to intelligently select and execute the appropriate tools. Given property images and text, the agent decomposes the task into manageable subtasks, generating storyline directives and corresponding camera movement trajectories to guide the video production process. By automatically applying video synthesis techniques and incorporating multimedia elements such as subtitles and background music, the agent transforms static real estate images into dynamic, visually appealing videos, thereby optimizing their impact for digital marketing purposes.

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Published

2025-04-11

How to Cite

Wu, K., Yuan, S., Shen, C., Xu, L., & Chen, M. (2025). AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation. Proceedings of the AAAI Conference on Artificial Intelligence, 39(28), 29715-29717. https://doi.org/10.1609/aaai.v39i28.35377