mlsanityData to 7 Oct 2026

Recent Advances in 3D Object and Hand Pose Estimation

arXiv 2006.05927 ↗First posted 10 Jun 2020cs.CVcited by 9

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Abstract (arXiv)

3D object and hand pose estimation have huge potentials for Augmented Reality, to enable tangible interfaces, natural interfaces, and blurring the boundaries between the real and virtual worlds. In this chapter, we present the recent developments for 3D object and hand pose estimation using cameras, and discuss their abilities and limitations and the possible future development of the field.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jun 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 1; 2025: 1; 2026: 1.

9 papers.

  1. 2022InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interactioncited by 90
  2. 2021Towards unconstrained joint hand-object reconstruction from RGB videoscited by 57
  3. 2023gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstructioncited by 49
  4. 2022Efficient Annotation and Learning for 3D Hand Pose Estimation: A Surveycited by 17
  5. 2023EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervisioncited by 17
  6. 2024HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fieldscited by 14
  7. 2021DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimationcited by 12
  8. 2025HORT: Monocular Hand-held Objects Reconstruction with Transformerscited by 11
  9. 2026Temporally Consistent Object 6D Pose Estimation for Robot Controlcited by 0