English(EN) CityPaint: A Free Lunch from 2D Diffusion for City-Scale 3D Texturing

CityPaint 使用 2D 扩散模型进行城市级 3D 纹理处理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-21 04:00

研究人员推出 CityPaint，一个利用丰富的 2D 图像数据和扩散模型生成逼真、城市级 3D 纹理的新框架。该方法绕过了对通常在城市环境中稀缺的大量 3D 训练数据的需求。CityPaint 集成了几何先验知识和 2D 扩散模型，并采用 top-K 摄像机烘焙策略进行迭代纹理投影，以及一个解耦的细化机制来优化地形和建筑纹理。实验表明，CityPaint 生成的纹理连贯且细节丰富，在视觉质量和一致性方面优于现有方法。 AI

影响该方法可以显著改善用于虚拟现实和城市规划等应用的逼真 3D 环境的创建。

排序理由该项目是一篇学术论文，详细介绍了一种新的 3D 纹理处理方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Yuchen Zou, Lihuang Fang, Siyu Zhu, Xiao Hu · 2026-10-21 04:00

CityPaint：来自2D扩散模型的免费午餐，用于城市级3D纹理绘制

arXiv:2610.27564v1 Announce Type: cross Abstract: Generating high-fidelity, city-scale 3D environments plays a crucial role in applications such as virtual reality, gaming, and urban digital twins. However, the scarcity of real-world city-scale 3D training data forces existing me…

本文如何被排名

报道来源 [1]

CityPaint：来自2D扩散模型的免费午餐，用于城市级3D纹理绘制

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