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新框架Valerant使用世界模型自动生成3D游戏地图

研究人员开发了Valerant,一个利用动作条件世界模型自动生成可导航3D游戏地图的新颖框架。该系统通过结合预测性视觉展开、同步定位与地图构建(SLAM)技术以及驱动式探索动作选择,将单个图像转化为持久的3D游戏环境。Valerant旨在减少3D游戏地图创建中涉及的手动工作量,并将世界动作模型的应用扩展到2D视觉模拟之外。 AI

影响 该框架可以显著减少3D游戏开发和资产创建所需的手动劳动。

排序理由 该集群描述了一篇详细介绍用于游戏地图生成的新颖框架的研究论文。

在 arXiv cs.AI 阅读 →

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新框架Valerant使用世界模型自动生成3D游戏地图

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该集群描述了一篇详细介绍用于游戏地图生成的新颖框架的研究论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yiran Qiao, Feng Wang, Jing Ma ·

    Valerant:通过动作条件世界模型探索实现的全自动可导航游戏地图生成器

    arXiv:2609.09418v1 Announce Type: new Abstract: World Action Models (WAMs) couple predictive world modeling with action generation, allowing anticipated future states to guide agent behavior. Although WAMs are rapidly advancing embodied AI, general-purpose counterparts remain lar…

  2. Mastodon — mastodon.social TIER_1 English(EN) · aitools2u ·

    🤖 【arXiv cs.AI】Valerant: An Automatic Navigable Game Map Generator via Action-Conditioned World Model Exploration arXiv:2609.09418v1 Announce Type: new Abstract

    🤖 【arXiv cs.AI】Valerant: An Automatic Navigable Game Map Generator via Action-Conditioned World Model Exploration arXiv:2609.09418v1 Announce Type: new Abstract: World Action Models (WAMs) couple predictive world modeling with action... # AI # TechNews # Mac ... 🔗 https:// arxiv.…