让玩家可编辑的多人游戏世界在扩散引擎中持久存在且一致
MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines
- 用可编辑的外部记忆模块替代传统预测框架
- 支持多人实时同步，环境状态跨玩家一致
- 适合需要持久化编辑和多人协作的游戏开发
视频世界模型在交互式仿真与娱乐中展现出巨大潜力，但当前系统仍难以兼顾用户对环境的可控性（实现可复现、可编辑体验）与共享推理（玩家共同影响同一世界）。为此，我们引入一个显式的外部记忆模块，该模块独立于模型上下文窗口，持续由用户行为更新，并在生成过程中被反复查询。不同于传统的扩散游戏引擎作为帧间预测器，我们的方法将生成过程分解为记忆、观察与动力学三个模块。这一设计使用户能通过可编辑的记忆表示直接控制环境结构，并自然支持实时多人推演，确保视角连贯与跨玩家交互一致性。
原文摘要 · Abstract (English)
Video world models have shown immense promise for interactive simulation and entertainment, but current systems still struggle with two important aspects of interactivity: user control over the environment for reproducible, editable experiences, and shared inference where players hold influence over a common world. To address these limitations, we introduce an explicit external memory into the system, a persistent state operating independent of the model's context window, that is continually updated by user actions and queried throughout the generation roll-out. Unlike conventional diffusion game engines that operate as next-frame predictors, our approach decomposes generation into Memory, Observation, and Dynamics modules. This design gives users direct, editable control over environment structure via an editable memory representation, and it naturally extends to real-time multiplayer rollouts with coherent viewpoints and consistent cross-player interactions.
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