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English(EN) Talus: a 23M-parameter diffusion model for game terrain, evaluated against a real-vs-real noise floor, running in the browser on WebGPU [P]

Talus扩散模型在浏览器中生成游戏地形

一款名为Talus的新扩散模型已被开发出来,能够生成游戏地形高度图。这个拥有2300万参数的模型可以直接在网络浏览器中使用WebGPU运行,每张地图的推理时间约为3秒。Talus在程序化生成器地图数据集上进行了训练,并与噪声基线进行了评估,展示了其生成逼真地形特征的能力。 AI

影响 能够在Web应用程序中直接实时生成游戏地形资源。

排序理由 该集群描述了一个新模型发布及其技术评估,符合研究类别。[lever_c_从研究降级:ic=1 ai=1.0]

在 r/MachineLearning 阅读 →

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Talus扩散模型在浏览器中生成游戏地形

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该集群描述了一个新模型发布及其技术评估,符合研究类别。[lever_c_从研究降级:ic=1 ai=1.0]
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报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Old_Cow_6636 ·

    Talus:一款用于游戏地形的2300万参数扩散模型,在WebGPU上于浏览器中运行,并与真实对真实噪声基准进行了评估 [P]

    <!-- SC_OFF --><div class="md"><p>Talus generates 64x64 heightmaps (4 km, up to 1,200 m) conditioned on a terrain type and any subset of five measured properties: mean elevation, relief, mean slope, water fraction and spectral slope. I trained it from scratch on one RTX 5060 (8 G…