English(EN) PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes

PrITTI模型使用原始元素生成可编辑的3D城市场景

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-26 04:00

研究人员开发了PrITTI，一种用于生成3D语义城市场景的新型潜在扩散模型。与以往的基于体素的方法不同，PrITTI使用基于原始元素（primitive-based）的表示，从而实现更具可控性和可编辑性的场景生成。这种方法以更低的内存占用和更快的推理速度实现了最先进的质量，支持场景编辑和照片级真实感合成等应用。 AI

影响引入了一种新颖的基于原始元素的3D场景生成表示方法，与基于体素的方法相比，有望提高效率和可编辑性。

排序理由该集群包含一篇详细介绍3D场景生成新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

arXiv
PrITTI

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

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍3D场景生成新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Christina Ourania Tze, Daniel Dauner, Yiyi Liao, Dzmitry Tsishkou, Andreas Geiger · 2026-05-26 04:00

PrITTI：可控可编辑3D语义城市场景的基于原语的生成

arXiv:2506.19117v3 Announce Type: replace Abstract: Existing approaches to 3D semantic urban scene generation predominantly rely on voxel-based representations, which are bound by fixed resolution, challenging to edit, and memory-intensive in their dense form. In contrast, we adv…

本文如何被排名

报道来源 [1]

PrITTI：可控可编辑3D语义城市场景的基于原语的生成

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