mlsanityData to 14 Oct 2026

Dynamic Reconstruction of Hand-Object Interaction with Distributed Force-aware Contact Representation

arXiv 2411.09572 ↗First posted 14 Nov 2024cs.CVcited by 8

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Abstract (arXiv)

We present ViTaM-D, a novel visual-tactile framework for reconstructing dynamic hand-object interaction with distributed tactile sensing to enhance contact modeling. Existing methods, relying solely on visual inputs, often fail to capture occluded interactions and object deformation. To address this, we introduce DF-Field, a distributed force-aware contact representation leveraging kinetic and potential energy in hand-object interactions. ViTaM-D first reconstructs interactions using a visual network with contact constraint, then refines contact details through force-aware optimization, improving object deformation modeling. To evaluate deformable object reconstruction, we introduce the HOT dataset, featuring 600 hand-object interaction sequences in a high-precision simulation environment. Experiments on DexYCB and HOT datasets show that ViTaM-D outperforms state-of-the-art methods in reconstruction accuracy for both rigid and deformable objects. DF-Field also proves more effective in refining hand poses and enhancing contact modeling than previous refinement methods. The code, models, and datasets are available at https://sites.google.com/view/vitam-d/.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 27 of its 43 references that are in the map. First posted on arXiv 14 Nov 2024.

Builds on

27 of 43 references.

References · 27

  1. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  2. 2019Learning joint reconstruction of hands and manipulated objectscited by 378
  3. 2021DexYCB: A Benchmark for Capturing Hand Grasping of Objectscited by 325
  4. 2022ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulationcited by 312
  5. 2019PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimationcited by 204
  6. 2020DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulationcited by 167
  7. 2020Reconstructing Hand-Object Interactions in the Wildcited by 144
  8. 2019H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactionscited by 141
  9. 2020Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstructioncited by 139
  10. 2022OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interactioncited by 131
  11. 2020CPF: Learning a Contact Potential Field to Model the Hand-Object Interactioncited by 128
  12. 2020HOPE-Net: A Graph-based Model for Hand-Object Pose Estimationcited by 112
15 more
  1. 2020Monocular Real-time Hand Shape and Motion Capture using Multi-modal Datacited by 106
  2. 2023Rotating without Seeing: Towards In-hand Dexterity through Touchcited by 84
  3. 2023HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Videocited by 78
  4. 2021ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesiscited by 76
  5. 2023Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clipscited by 74
  6. 2022TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinementcited by 70
  7. 2022AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstructioncited by 59
  8. 20203D Shape Reconstruction from Vision and Touchcited by 42
  9. 2021GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Fingercited by 41
  10. 20183D Shape Perception from Monocular Vision, Touch, and Shape Priorscited by 31
  11. 2022Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wildcited by 17
  12. 2023Visual-Tactile Sensing for In-Hand Object Reconstructioncited by 13
  13. 2021Dynamic Modeling of Hand-Object Interactions via Tactile Sensingcited by 8
  14. 2023Intersection-free Robot Manipulation with Soft-Rigid Coupled Incremental Potential Contactcited by 1
  15. 2024DiPGrasp: Parallel Local Searching for Efficient Differentiable Grasp Planningcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 5.

8 papers.