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New frameworks reconstruct 3D objects from hand interaction videos

By PulseAugur Editorial · [3 sources] ·

Two new research papers introduce novel frameworks for reconstructing 3D objects from egocentric videos, focusing on hand interactions. The first, ROHIT, uses a Constrained Optimisation and Propagation (COP) framework to model object poses during stable grasps. The second, AGILE, employs an agentic generation approach guided by a Vision-Language Model to create watertight meshes, bypassing traditional Structure-from-Motion methods. AI

IMPACT These methods could improve digital twins for robotics and VR by enabling more accurate 3D object reconstruction from real-world interactions.

RANK_REASON Two academic papers published on arXiv presenting new methods for 3D object reconstruction.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New frameworks reconstruct 3D objects from hand interaction videos

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COVERAGE [3]

  1. arXiv cs.CV TIER_1 English(EN) · Dingbang Huang, Etienne Vouga, Qixing Huang, Georgios Pavlakos ·

    Recovering Physically Plausible Human-Object Interactions from Monocular Videos

    arXiv:2606.05359v1 Announce Type: new Abstract: In this paper, we propose RePHO, a method to reconstruct physically plausible human-object interactions (HOI) from monocular videos. While existing kinematic-based approaches produce visually plausible motion, they often result in p…

  2. arXiv cs.CV TIER_1 English(EN) · Zhifan Zhu, Siddhant Bansal, Shashank Tripathi, Dima Damen ·

    Reconstructing Objects along Hand Interaction Timelines in Egocentric Video

    arXiv:2512.07394v2 Announce Type: replace Abstract: We introduce the task of Reconstructing Objects along Hand Interaction Timelines (ROHIT). We first define the Hand Interaction Timeline (HIT) from a rigid object's perspective. In a HIT, an object is first static relative to the…

  3. arXiv cs.CV TIER_1 English(EN) · Jin-Chuan Shi, Binhong Ye, Tao Liu, Junzhe He, Yangjinhui Xu, Xiaoyang Liu, Zeju Li, Hao Chen, Chunhua Shen ·

    AGILE: Hand-Object Interaction Reconstruction from Video via Agentic Generation

    arXiv:2602.04672v4 Announce Type: replace Abstract: Reconstructing dynamic hand-object interactions from monocular videos is critical for dexterous manipulation data collection and creating realistic digital twins for robotics and VR. However, current methods face two prohibitive…

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