English(EN) Feed-Forward Multi-view Multi-person Reconstruction with Contrastive Human-Aware 3D Representation

新的三维人体重建方法使用对比学习

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了一种新颖的前馈方法，用于从多个摄像机视图中重建多人的三维模型，即使在存在遮挡的非约束环境中也是如此。该方法采用自顶向下的范式，建立了一个统一的、以实例为中心的人体感知三维空间。该空间通过跨模态对比学习实现同时的相机标定、跨视图关联和人体重建，在实例级别编码几何、视觉和语义线索。该系统通过从三维人体标记回归SMPL参数来恢复结构化人体模型，在具有挑战性的真实场景中表现出鲁棒且高效的性能。 AI

影响该方法可以提高虚拟现实和动作捕捉等应用中三维人体建模的准确性和效率。

排序理由该集群包含一篇详细介绍计算机视觉新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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本文如何被排名

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Yuanwang Yang, Buzhen Huang, Zongxuan Ren, Jing Huang, Kun Li · 2026-09-02 04:00

具有对比感知人类的3D表示的前馈多视图多人重建

arXiv:2609.00745v1 Announce Type: new Abstract: Multi-view human reconstruction has been extensively studied under simplified settings, yet robust and efficient multi-person reconstruction in unconstrained environments remains challenging. Existing bottom-up methods often rely on…

本文如何被排名

报道来源 [1]

具有对比感知人类的3D表示的前馈多视图多人重建

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