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English(EN) Human4K: A Large-Scale 4K Multi-View Mocap Dataset for Whole-Body 3D Human Reconstruction

Human4K数据集通过4K多视角动作捕捉数据推动三维人体重建 · 跟踪到2个来源

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了Human4K，一个旨在改进三维人体重建的新大规模数据集。该数据集包含超过六百万张从八视角相机系统捕获的4K图像，并与专业动作捕捉数据同步。Human4K旨在通过提供高分辨率图像和精确的复杂全身运动标注来解决现有数据集的局限性，包括深度模糊和自遮挡等挑战性场景。使用Human4K训练模型已显示出在人体几何重建方面的显著改进，尤其是在手和脚等四肢方面。 AI

影响 该数据集可以显著提高用于三维人体重建的AI模型的准确性和鲁棒性，尤其是在具有挑战性的现实场景中。

排序理由 该集群描述了在arXiv上发布的新学术数据集和论文。

在 arXiv cs.AI 阅读 →

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Human4K数据集通过4K多视角动作捕捉数据推动三维人体重建 · 跟踪到2个来源

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该集群描述了在arXiv上发布的新学术数据集和论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Tianshun Han, Ziyu Shi, Lijian Liu, Ajian Liu, Benjia Zhou, Hugo Jair Escalante, Yanyan Liang, Sergio Escalera, Zhen Lei, Jun Wan ·

    Human4K：一个用于全身三维人体重建的大规模4K多视角动作捕捉数据集

    arXiv:2607.13646v1 Announce Type: cross Abstract: Recent advances in 3D human reconstruction have improved overall performance, yet current models still fail in the most challenging real-world scenarios. They often produce unstable geometry, inaccurate limb articulation and unrel…

  2. arXiv cs.AI TIER_1 English(EN) · Jun Wan ·

    Human4K：一个用于全身三维人体重建的大规模4K多视角动作捕捉数据集

    Recent advances in 3D human reconstruction have improved overall performance, yet current models still fail in the most challenging real-world scenarios. They often produce unstable geometry, inaccurate limb articulation and unreliable predictions under depth ambiguity or self-oc…

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