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English(EN) Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

Skyfall-GS 从卫星图像合成3D城市景观

研究人员开发了Skyfall-GS,一个用于合成大规模、沉浸式3D城市景观的新框架。该方法利用卫星图像进行粗略几何建模,并利用扩散模型进行详细外观合成,无需昂贵的3D标注。该系统通过课程驱动的迭代细化策略,逐步增强了几何完整性和照片级真实感纹理,与现有方法相比,提供了更好的跨视图一致性和真实感。 AI

影响 为沉浸式应用实现更真实、可扩展的3D环境创建。

排序理由 这是一篇详细介绍一种新的3D城市景观合成方法的学术论文。

在 arXiv cs.CV 阅读 →

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

Skyfall-GS 从卫星图像合成3D城市景观

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这是一篇详细介绍一种新的3D城市景观合成方法的学术论文。
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jie-Ying Lee, Yi-Ruei Liu, Shr-Ruei Tsai, Wei-Cheng Chang, Chung-Ho Wu, Jiewen Chan, Zhenjun Zhao, Chieh Hubert Lin, Yu-Lun Liu ·

    Skyfall-GS:从卫星图像合成沉浸式3D城市景观

    arXiv:2510.15869v4 Announce Type: replace Abstract: Synthesizing large-scale, explorable, and geometrically accurate 3D urban scenes is a challenging yet valuable task for immersive and embodied applications. The challenge lies in the lack of large-scale and high-quality real-wor…