Magpie：用于交互式游戏的实时世界渲染器
Magpie: Real-Time World Renderer for Interactive Games
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中文总结 AI 辅助
针对传统游戏开发成本高、周期长的问题，提出Magpie系统，分离游戏玩法执行与视觉生成，可将生成式模型应用于实时游戏渲染，降低早期原型对视觉资产的依赖。
中文摘要 AI 辅助
现代游戏开发高度依赖传统图形管线，高质量视觉内容需建模、材质创作、动画、光照、特效及运行时优化，导致资产制作成本高昂、游戏原型开发周期延长。近期视频基础模型开始改变影视制作，但游戏与线性媒体不同，不仅需要连续逼真的图像，还需稳定可复现的游戏规则、对象状态及交互结果。本文提出Magpie，一种用于交互式游戏的实时生成式世界渲染系统，将游戏玩法执行与视觉生成分离：设计师在游戏引擎中定义场景与规则，运行时游戏引擎解析玩家操作并维护世界状态，独立的渲染服务器则基于引擎生成的白盒帧生成视觉输出。Magpie为将生成式模型应用于实时游戏渲染提供了系统级实现路径，在保留游戏玩法可设计性与可复现性的同时，降低了早期游戏原型对完整视觉资产的依赖。
英文摘要
Modern game development relies heavily on conventional graphics pipelines. High-quality visual content requires modeling, material authoring, animation, lighting, effects, and runtime optimization, making asset production expensive and extending the development cycle of game prototypes. Recently, video foundation models are beginning to change film and video production, but games differ from linear media, they require not only continuous and realistic imagery, but also stable and reproducible gameplay rules, object states, and interaction outcomes. We present Magpie, a real-time generative world-rendering system for interactive games. Magpie separates gameplay execution from visual generation. Designers define scenes and rules in a game engine. At runtime, the Game Engine resolves player actions and maintains world state, while an independent Render Server generates visual output from white-box frames produced by the engine. Magpie provides a system-level implementation path for applying generative models to real-time game rendering. It preserves gameplay designability and reproducibility, and reduces the dependence of early game prototypes on complete visual assets.
发表机构
- Mogo AI Ltd.（莫戈人工智能有限公司）
- Nanjing University（南京大学）
- University of Southampton（南安普顿大学）
机构由 AI 辅助整理，请以论文原文为准。
