用AI生成可交互视频，打造下一代游戏引擎
Position: Interactive Generative Video as Next-Generation Game Engine
- 用生成式视频技术构建可无限生成内容的游戏引擎
- 支持物理感知、用户控制、长期记忆和因果推理
- 适合游戏开发者和AI驱动创意的未来研究者
现代游戏开发因传统引擎内容预设而面临创意与成本挑战。近期视频生成模型能合成真实且可交互的虚拟环境，为游戏创作带来变革机遇。本文提出将交互式生成视频（IGV）作为生成式游戏引擎（GGE）的基础，实现下一代游戏的无限新内容生成。GGE利用IGV在高质量内容合成、物理感知世界建模、用户可控交互、长期记忆能力及因果推理方面的独特优势。我们提出一个完整的框架，定义GGE的核心模块，并制定从L0到L4的分层成熟度路线图，指引其发展。本工作为人工智能时代的游戏开发开辟新路径，展望由AI生成系统根本性重塑游戏创作与体验的未来。
原文摘要 · Abstract (English)
Modern game development faces significant challenges in creativity and cost due to predetermined content in traditional game engines. Recent breakthroughs in video generation models, capable of synthesizing realistic and interactive virtual environments, present an opportunity to revolutionize game creation. In this position paper, we propose Interactive Generative Video (IGV) as the foundation for Generative Game Engines (GGE), enabling unlimited novel content generation in next-generation gaming. GGE leverages IGV's unique strengths in unlimited high-quality content synthesis, physics-aware world modeling, user-controlled interactivity, long-term memory capabilities, and causal reasoning. We present a comprehensive framework detailing GGE's core modules and a hierarchical maturity roadmap (L0-L4) to guide its evolution. Our work charts a new course for game development in the AI era, envisioning a future where AI-powered generative systems fundamentally reshape how games are created and experienced.
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