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PartHOI: Part-based Hand-Object Interaction Transfer via Generalized Cylinders

arXiv 2504.20599 ↗First posted 29 Apr 2025cs.CVcited by 0

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Abstract (arXiv)

Learning-based methods to understand and model hand-object interactions (HOI) require a large amount of high-quality HOI data. One way to create HOI data is to transfer hand poses from a source object to another based on the objects' geometry. However, current methods for transferring hand poses between objects rely on shape matching, limiting the ability to transfer poses across different categories due to differences in their shapes and sizes. We observe that HOI often involves specific semantic parts of objects, which often have more consistent shapes across categories. In addition, constructing size-invariant correspondences between these parts is important for cross-category transfer. Based on these insights, we introduce a novel method PartHOI for part-based HOI transfer. Using a generalized cylinder representation to parameterize an object parts' geometry, PartHOI establishes a robust geometric correspondence between object parts, and enables the transfer of contact points. Given the transferred points, we optimize a hand pose to fit the target object well. Qualitative and quantitative results demonstrate that our method can generalize HOI transfers well even for cross-category objects, and produce high-fidelity results that are superior to the existing methods.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 29 of its 55 references that are in the map. First posted on arXiv 29 Apr 2025.

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29 of 55 references.

References · 29

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  12. 2020CPF: Learning a Contact Potential Field to Model the Hand-Object Interactioncited by 127
17 more
  1. 2017AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detectioncited by 126
  2. 2023UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policycited by 117
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  6. 2017Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensorcited by 84
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  10. 2023ContactGen: Generative Contact Modeling for Grasp Generationcited by 52
  11. 2023gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstructioncited by 49
  12. 20173D Object Reconstruction from Hand-Object Interactionscited by 31
  13. 2022Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interactioncited by 23
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  16. 2017Back to RGB: 3D tracking of hands and hand-object interactions based on short-baseline stereocited by 8
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