English(EN) GraspHOI: Full-Body 3D Human-Object Reconstruction with Finger-Level Grasps from a Single In-the-Wild Image

GraspHOI框架通过手指级抓取重建三维人与物体交互

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-31 04:00

研究人员推出GraspHOI，一个用于从单张图像重建全身三维人与物体交互的新型框架。与先前的方法不同，GraspHOI显式优化手指级抓取，并在不依赖预定义网格或固定类别词汇的情况下重建物体几何。该系统在度量相机空间中对齐重建的身体、手部和物体，利用遮挡感知对应关系和接触感知优化来确保合理的手部与物体接触。GraspHOI在多个基准测试中展示了在人与物体放置、手部关节和接触合理性方面的准确性提升。 AI

影响增强了人与物体交互的三维重建能力，可能改进机器人和虚拟现实应用。

排序理由该集群包含一篇详细介绍用于三维人与物体重建的新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Semin Kim, Haechan Shin, Jongyoo Kim · 2026-08-31 04:00

GraspHOI：从单张野外图像中进行具有手指级别抓取的全身三维人体-物体重建

arXiv:2608.28386v1 Announce Type: new Abstract: Existing monocular full-body 3D human-object interaction (HOI) methods do not combine explicit finger-level grasp optimization with category-agnostic object reconstruction. Despite plausible body-object configurations, their fingers…

本文如何被排名

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GraspHOI：从单张野外图像中进行具有手指级别抓取的全身三维人体-物体重建

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