mlsanityData to 7 Oct 2026

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

arXiv 1708.08325 ↗First posted 28 Aug 2017cs.CVcited by 19

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Abstract (arXiv)

DeepPrior is a simple approach based on Deep Learning that predicts the joint 3D locations of a hand given a depth map. Since its publication early 2015, it has been outperformed by several impressive works. Here we show that with simple improvements: adding ResNet layers, data augmentation, and better initial hand localization, we achieve better or similar performance than more sophisticated recent methods on the three main benchmarks (NYU, ICVL, MSRA) while keeping the simplicity of the original method. Our new implementation is available at https://github.com/moberweger/deep-prior-pp .

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Aug 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 3; 2023: 3; 2024: 4; 2025: 1; 2026: 2.

19 papers.

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  1. 2021H2O: Two Hands Manipulating Objects for First Person Interaction Recognitioncited by 251
  2. 2021Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentationcited by 40
  3. 2022Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wildcited by 17
  4. 2021HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeletoncited by 16
  5. 2024HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloudcited by 12
  6. 2021HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networkscited by 11
  7. 2022TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimationcited by 7
  8. 2022Modern Augmented Reality: Applications, Trends, and Future Directionscited by 3
  9. 2021A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networkscited by 2
  10. 2025FunHOI: Annotation-Free 3D Hand-Object Interaction Generation via Functional Text Guidancecited by 2
  11. 2021HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimationcited by 1
  12. 2023Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Trainingcited by 1
7 more
  1. 2024HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimationcited by 1
  2. 2023Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameterscited by 0
  3. 2023Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learningcited by 0
  4. 2024DOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimationcited by 0
  5. 2024Edge Weight Prediction For Category-Agnostic Pose Estimationcited by 0
  6. 2026HandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimationcited by 0
  7. 2026KAD-Net: Kinematics-Aware Decoupled Learning for Robust 3D Hand Pose Estimation from a Single Depth Imagecited by 0