English(EN) InfiniteDiffusion: Bridging Learned Fidelity and Procedural Utility for Open-World Terrain Generation

InfiniteDiffusion算法将扩散模型与程序化噪声相结合，用于地形生成

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-05 04:00

研究人员开发了InfiniteDiffusion，这是一种能够让扩散模型生成高保真度程序化无限地形的新型算法。该方法将扩散模型的真实感与传统程序化噪声函数的效率和连贯性相结合。该系统支持无缝、无界生成、种子一致性和随机访问，在速度和细节耦合方面优于先前的方法。 AI

影响能够为虚拟世界实现交互式、高保真度地形生成，可能对游戏开发和模拟产生影响。

排序理由这是一篇详细介绍新的地形生成算法和框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 这是一篇详细介绍新的地形生成算法和框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.CV TIER_1 English(EN) · Alexander Goslin · 2026-05-05 04:00

InfiniteDiffusion：连接学习保真度和程序化效用以实现开放世界地形生成

arXiv:2512.08309v4 Announce Type: replace Abstract: For decades, procedural worlds have been built on procedural noise functions such as Perlin noise, which are fast and infinite, yet fundamentally limited in realism and large-scale coherence. Conversely, diffusion models offer u…