mlsanityData to 7 Oct 2026

Training a Feedback Loop for Hand Pose Estimation

arXiv 1609.09698 ↗First posted 30 Sep 2016cs.CVcited by 21

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Abstract (arXiv)

We propose an entirely data-driven approach to estimating the 3D pose of a hand given a depth image. We show that we can correct the mistakes made by a Convolutional Neural Network trained to predict an estimate of the 3D pose by using a feedback loop. The components of this feedback loop are also Deep Networks, optimized using training data. They remove the need for fitting a 3D model to the input data, which requires both a carefully designed fitting function and algorithm. We show that our approach outperforms state-of-the-art methods, and is efficient as our implementation runs at over 400 fps on a single GPU.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Sep 2016.

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Citing papers per year: 2021: 10; 2022: 5; 2023: 5; 2024: 1.

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  1. 2021PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loopcited by 250
  2. 2022MegaPose: 6D Pose Estimation of Novel Objects via Render & Comparecited by 198
  3. 2022Embodied Hands: Modeling and Capturing Hands and Bodies Togethercited by 179
  4. 2021Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimationcited by 122
  5. 2023FoundPose: Unseen Object Pose Estimation with Foundation Featurescited by 109
  6. 2021Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Cameracited by 70
  7. 2023ReFit: Recurrent Fitting Network for 3D Human Recoverycited by 47
  8. 2024Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mambacited by 45
  9. 2021Single-view robot pose and joint angle estimation via render & comparecited by 33
  10. 2021RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Videocited by 23
  11. 2021BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth Imagecited by 20
  12. 2022Efficient Annotation and Learning for 3D Hand Pose Estimation: A Surveycited by 17
9 more
  1. 2021Deep Feedback Inverse Problem Solvercited by 11
  2. 2023Diff-DOPE: Differentiable Deep Object Pose Estimationcited by 11
  3. 2021RealisticHands: A Hybrid Model for 3D Hand Reconstructioncited by 5
  4. 2021Learning Local Recurrent Models for Human Mesh Recoverycited by 3
  5. 2021Multi-view Image-based Hand Geometry Refinement using Differentiable Monte Carlo Ray Tracingcited by 2
  6. 2023Pyramid Deep Fusion Network for Two-Hand Reconstruction from RGB-D Imagescited by 2
  7. 2022End-to-End 3D Hand Pose Estimation from Stereo Camerascited by 1
  8. 2023AnthroNet: Conditional Generation of Humans via Anthropometricscited by 1
  9. 2022A Training Method For VideoPose3D With Ideology of Action Recognitioncited by 0