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

現代遊戲開發在創意和成本方面面臨重大挑戰，這主要源於傳統遊戲引擎中預設內容的限制。近期在視頻生成模型領域的突破，這些模型能夠合成逼真且互動的虛擬環境，為遊戲創作帶來了革命性的機遇。在本立場文件中，我們提出將互動生成視頻（IGV）作為生成式遊戲引擎（GGE）的基礎，從而實現下一代遊戲中無限新穎內容的生成。GGE充分利用IGV在無限高質量內容合成、物理感知的世界建模、用戶控制的互動性、長期記憶能力以及因果推理方面的獨特優勢。我們提出了一個詳細的框架，闡述了GGE的核心模塊，並制定了一個分層成熟度路線圖（L0-L4）以指導其發展。我們的工作為AI時代的遊戲開發開闢了新方向，展望了一個由AI驅動的生成系統從根本上重塑遊戲創作與體驗的未來。

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.