mlsanityData to 14 Oct 2026

BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation

arXiv 2206.11678 ↗First posted 23 Jun 2022cs.CVcited by 13

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Abstract (arXiv)

We present BlazePose GHUM Holistic, a lightweight neural network pipeline for 3D human body landmarks and pose estimation, specifically tailored to real-time on-device inference. BlazePose GHUM Holistic enables motion capture from a single RGB image including avatar control, fitness tracking and AR/VR effects. Our main contributions include i) a novel method for 3D ground truth data acquisition, ii) updated 3D body tracking with additional hand landmarks and iii) full body pose estimation from a monocular image.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 14 of its 21 references that are in the map. First posted on arXiv 23 Jun 2022.

Builds on

14 of 21 references.

References · 14

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021MLP-Mixer: An all-MLP Architecture for Visioncited by 1,446
  3. 2018On the Continuity of Rotation Representations in Neural Networkscited by 1,214
  4. 2019Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loopcited by 627
  5. 2020MediaPipe Hands: On-device Real-time Hand Trackingcited by 161
  6. 2018BodyNet: Volumetric Inference of 3D Human Body Shapescited by 141
  7. 2020BlazePose: On-device Real-time Body Pose trackingcited by 113
  8. 2018Ordinal Depth Supervision for 3D Human Pose Estimationcited by 107
  9. 2020Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flowscited by 94
  10. 2020Neural Descent for Visual 3D Human Pose and Shapecited by 60
  11. 2021THUNDR: Transformer-based 3D HUmaN Reconstruction with Markerscited by 50
  12. 2021HSPACE: Synthetic Parametric Humans Animated in Complex Environmentscited by 29
2 more
  1. 2020SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Datacited by 17
  2. 2021On-device Real-time Hand Gesture Recognitioncited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 3; 2024: 2; 2025: 3; 2026: 3.

13 papers.

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