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English(EN) Holi-Spatial 360: Generative Reconstruction from Sparse Panoramas for Spatial Rendering and Intelligence

新框架从稀疏全景图创建3D环境

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了Holi-Spatial 360，这是一个旨在从稀疏全景图像（通常在房地产平台上找到）创建详细3D环境的框架。该系统通过使用Correspondence-Guided Geometric Optimization来构建连贯的3D Gaussian Splatting表示，解决了欠约束重建的挑战。重建的场景可以用任意RGB-D数据进行渲染，并通过视觉语言模型（VLM）验证进行自动策划。该项目还推出了Holi360数据集，其中包含1000多个3DGS场景和广泛的注释，以及一个用于评估VLM空间推理能力的基准。 AI

影响 为AI训练和空间推理提供了更具可扩展性和语义基础的3D环境。

排序理由 该集群描述了一篇关于新颖的3D重建框架和数据集的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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 →

新框架从稀疏全景图创建3D环境

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该集群描述了一篇关于新颖的3D重建框架和数据集的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yuanyuan Gao, Zhirui Liu, Yuning Gong, Yifei Liu, Yifan Zhan, Kuixuan Jiao, Xiaolong Zhou, Yifan Yang, Hongjie Zhang, Xue Yang, Dan Xu, Zhihang Zhong ·

    Holi-Spatial 360：从稀疏全景图生成式重建，用于空间渲染和智能

    arXiv:2610.19502v1 Announce Type: new Abstract: Spatial intelligence requires scalable 3D environments that are both photorealistic and semantically grounded, yet existing indoor datasets are dominated by room-scale captures and costly LiDAR acquisition. Online real-estate platfo…

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