定位：交互式生成视频作为下一代游戏引擎

Position: Interactive Generative Video as Next-Generation Game Engine

March 21, 2025

作者: Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu

cs.AI

摘要

现代游戏开发在创意与成本方面面临重大挑战，这主要源于传统游戏引擎中预设内容的局限性。近期，视频生成模型取得突破性进展，能够合成逼真且互动的虚拟环境，为游戏创作带来了革命性机遇。在本立场文件中，我们提出将交互式生成视频（IGV）作为生成式游戏引擎（GGE）的基础，以实现在下一代游戏中无限新颖内容的生成。GGE充分利用IGV在无限高质量内容合成、物理感知的世界建模、用户可控的交互性、长期记忆能力及因果推理等方面的独特优势。我们详细阐述了GGE的核心模块框架，并提出了一个分层次的成熟度路线图（L0-L4）以指导其发展。本工作为AI时代的游戏开发描绘了新方向，展望了一个由AI驱动的生成系统从根本上重塑游戏创作与体验的未来。

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.