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English(EN) Multiview Multi-Person Human Mesh Recovery Under Large Scenes with Occlusions

新的基准和方法推动复杂场景下的三维人体网格恢复

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了一种新的多视角多人人体网格恢复（MVMP-HMR）基准和模型，该模型旨在处理具有显著遮挡的大型场景，这对现有方法来说是一个挑战。MVMP-HMR模型将来自多个摄像机视角的特征融合到三维体中，并使用特定于人的查询来解码单独的三维网格。此外，另一项研究提出了一种端到端网格-高斯场景表示，该表示直接将三维高斯与网格面绑定，从而能够联合恢复几何和外观，以实现高效的场景建模和修改。 AI

影响 三维重建和人体网格恢复的进步可以增强模拟和具身AI训练的真实感。

排序理由 两篇不同的研究论文提出了三维场景重建的新方法和基准。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的基准和方法推动复杂场景下的三维人体网格恢复

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两篇不同的研究论文提出了三维场景重建的新方法和基准。
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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    遮挡场景下大场景多视角多人人体网格恢复

    Human mesh recovery (HMR) aims to recover 3D human meshes from images. Most existing HMR benchmarks and methods focus on either multi-person reconstruction from a single view or single-person reconstruction from multiple views, where the number of subjects and the scene scale are…

  2. arXiv cs.CV TIER_1 English(EN) · Ancheng Lin, Tianqing Su, Zuo Yuan, Quanke Su, Samuel S. Mao, Yusheng Xiang ·

    从多视图图像进行直接且可适应的网格-高斯场景重建

    arXiv:2405.06945v4 Announce Type: replace Abstract: Jointly recovering explicit surface geometry and high-quality appearance from multi-view images remains challenging. This capability is essential for maintaining high-fidelity real-to-sim environments for embodied intelligence, …

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