English(EN) VEPHand: View-Efficient Photometric Hand Performance Capture at Scale

新研究详细介绍了先进的4D手部-物体捕捉技术

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-16 04:00

arXiv上发表的两篇新研究论文介绍了捕捉高保真4D手部-物体交互的先进技术。第一篇论文《通过多视图时空跟踪和物理感知高斯实现高保真4D手部-物体捕捉》提出了一种系统，该系统使用Transformer模型进行姿态初始化，并使用物理感知高斯优化框架进行精炼，无需物体模板或标记。第二篇论文《VEPHand: 视图高效的光度手部性能捕捉》提出了一个用于动态手部捕捉的端到端流程，使用无掩码的神经方法和受物理启发的注册框架，专为视图高效设置而设计，能够处理复杂的交互。 AI

影响这些论文推动了4D重建的最新技术，有望为具身AI和空间计算应用实现更逼真的虚拟交互和资产生成。

排序理由 arXiv上发表了两篇学术论文，详细介绍了4D手部-物体捕捉的新方法。

在 arXiv cs.CV 阅读 →

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报道来源 [2]

arXiv cs.CV TIER_1 English(EN) · Bo Peng, Xu Chen, Yi Gu, Hidenobu Matsuki, Mingsong Dou, Jingjing Shen, Deying Kong, Juyong Zhang, Zhengyang Shen · 2026-06-16 04:00

High-Fidelity 4D Hand-Object Capture via Multi-View Spatiotemporal Tracking and Physics-Aware Gaussians

arXiv:2606.15908v1 Announce Type: new Abstract: The growing demand for high-fidelity 4D hand-object interaction (HOI) data in embodied AI and spatial computing is currently bottlenecked by the reliance on pre-scanned object templates and physical markers. While recent methods hav…
arXiv cs.CV TIER_1 English(EN) · Zhengyang Shen, Kai-Hung Chang, Erroll Wood, Deying Kong, Bo Peng, Timo Bolkart, Jinlong Yang, Bowen Zhao, Danhang Tang, Sasa Petrovic, Emre Aksan, J\'er\'emy Riviere, Vassilis Choutas, Delio Vicini, Jay Busch, Shichen Liu, Zhe Cao, Hugh Liu, JingJing Sh… · 2026-06-16 04:00

VEPHand: View-Efficient Photometric Hand Performance Capture at Scale

arXiv:2606.15966v1 Announce Type: new Abstract: Robust, high-fidelity 3D hand capture, while fundamental to digital human creation, remains challenging with practical multi-view systems that balance rich photometry with the geometric ambiguities of reconstruction arising from lim…

报道来源 [2]

High-Fidelity 4D Hand-Object Capture via Multi-View Spatiotemporal Tracking and Physics-Aware Gaussians

VEPHand: View-Efficient Photometric Hand Performance Capture at Scale

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