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GraspHOI framework reconstructs 3D human-object interactions with finger-level grasps

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced GraspHOI, a novel framework designed for reconstructing full-body 3D human-object interactions from a single image. Unlike previous methods, GraspHOI explicitly optimizes finger-level grasps and reconstructs object geometry without relying on predefined meshes or fixed category vocabularies. The system aligns the reconstructed body, hands, and object in metric camera space, using occlusion-aware correspondences and contact-aware optimization to ensure plausible hand-object contact. GraspHOI demonstrates improved accuracy in human-object placement, hand articulation, and contact plausibility across multiple benchmarks. AI

IMPACT Enhances 3D reconstruction capabilities for human-object interactions, potentially improving robotics and virtual reality applications.

RANK_REASON The cluster contains a research paper detailing a new framework for 3D human-object reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GraspHOI framework reconstructs 3D human-object interactions with finger-level grasps

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The cluster contains a research paper detailing a new framework for 3D human-object reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Semin Kim, Haechan Shin, Jongyoo Kim ·

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

    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…

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