HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image
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Abstract (arXiv)
This paper presents a method to learn hand-object interaction prior for reconstructing a 3D hand-object scene from a single RGB image. The inference as well as training-data generation for 3D hand-object scene reconstruction is challenging due to the depth ambiguity of a single image and occlusions by the hand and object. We turn this challenge into an opportunity by utilizing the hand shape to constrain the possible relative configuration of the hand and object geometry. We design a generalizable implicit function, HandNeRF, that explicitly encodes the correlation of the 3D hand shape features and 2D object features to predict the hand and object scene geometry. With experiments on real-world datasets, we show that HandNeRF is able to reconstruct hand-object scenes of novel grasp configurations more accurately than comparable methods. Moreover, we demonstrate that object reconstruction from HandNeRF ensures more accurate execution of downstream tasks, such as grasping and motion planning for robotic hand-over and manipulation. Homepage: https://samsunglabs.github.io/HandNeRF-project-page/
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 45 of its 54 references that are in the map. First posted on arXiv 14 Sep 2023.
Builds on
45 of 54 references.
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33 more
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Built on by
Citing papers per year: 2024: 4; 2025: 4; 2026: 2.
10 papers.
- 2024Hand-Object Interaction Pretraining from Videoscited by 39
- 2024Reconstructing Hand-Held Objects in 3D from Images and Videoscited by 24
- 2025UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimationcited by 6
- 2024Sparse multi-view hand-object reconstruction for unseen environmentscited by 4
- 2024Stereo Hand-Object Reconstruction for Human-to-Robot Handovercited by 2
- 2025Information-Theoretic Graph Fusion with Vision-Language-Action Model for Policy Reasoning and Dual Robotic Controlcited by 2
- 2025TexHOI: Reconstructing Textures of 3D Unknown Objects in Monocular Hand-Object Interaction Scenescited by 1
- 2026Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfercited by 1
- 2025Enhancing Monocular 3D Hand Reconstruction with Learned Texture Priorscited by 0
- 2026MASS: Mesh-inellipse Aligned Deformable Surfel Splatting for Hand Reconstruction and Rendering from Egocentric Monocular Videocited by 0
- 2026Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer30 Jul 2026
- 2026MASS: Mesh-inellipse Aligned Deformable Surfel Splatting for Hand Reconstruction and Rendering from Egocentric Monocular Video10 Apr 2026
- 2025Enhancing Monocular 3D Hand Reconstruction with Learned Texture Priors13 Aug 2025
- 2025Information-Theoretic Graph Fusion with Vision-Language-Action Model for Policy Reasoning and Dual Robotic Control7 Aug 2025
- 2025UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation17 Mar 2025
- 2025TexHOI: Reconstructing Textures of 3D Unknown Objects in Monocular Hand-Object Interaction Scenes7 Jan 2025
- 2024Stereo Hand-Object Reconstruction for Human-to-Robot Handover10 Dec 2024
- 2024Hand-Object Interaction Pretraining from Videos12 Sep 2024
- 2024Sparse multi-view hand-object reconstruction for unseen environments2 May 2024
- 2024Reconstructing Hand-Held Objects in 3D from Images and Videos9 Apr 2024