mlsanityData to 7 Oct 2026

Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimation

arXiv 2405.02114 ↗First posted 3 May 2024cs.CVcited by 0

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Abstract (arXiv)

The accuracy and robustness of 3D human pose estimation (HPE) are limited by 2D pose detection errors and 2D to 3D ill-posed challenges, which have drawn great attention to Multi-Hypothesis HPE research. Most existing MH-HPE methods are based on generative models, which are computationally expensive and difficult to train. In this study, we propose a Probabilistic Restoration 3D Human Pose Estimation framework (PRPose) that can be integrated with any lightweight single-hypothesis model. Specifically, PRPose employs a weakly supervised approach to fit the hidden probability distribution of the 2D-to-3D lifting process in the Single-Hypothesis HPE model and then reverse-map the distribution to the 2D pose input through an adaptive noise sampling strategy to generate reasonable multi-hypothesis samples effectively. Extensive experiments on 3D HPE benchmarks (Human3.6M and MPI-INF-3DHP) highlight the effectiveness and efficiency of PRPose. Code is available at: https://github.com/xzhouzeng/PRPose.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 32 of its 38 references that are in the map. First posted on arXiv 3 May 2024.

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References · 32

  1. 2016Variational Inference: A Review for Statisticianscited by 1,466
  2. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  3. 2014How transferable are features in deep neural networks?cited by 1,216
  4. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
  5. 2021Maximum Likelihood Training of Score-Based Diffusion Modelscited by 670
  6. 2014Semi-Supervised Learning with Deep Generative Modelscited by 494
  7. 2016Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervisioncited by 493
  8. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  9. 20183D human pose estimation in video with temporal convolutions and semi-supervised trainingcited by 401
  10. 2017Cascaded Pyramid Network for Multi-Person Pose Estimationcited by 341
  11. 2016Convolutional Pose Machinescited by 325
  12. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 271
20 more
  1. 2016Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Posecited by 220
  2. 2022MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Videocited by 158
  3. 2017Compositional Human Pose Regressioncited by 124
  4. 2021Graph Stacked Hourglass Networks for 3D Human Pose Estimationcited by 94
  5. 2019Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Networkcited by 92
  6. 2021PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimationcited by 88
  7. 2021Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flowscited by 84
  8. 2023Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregationcited by 81
  9. 2020Cascaded deep monocular 3D human pose estimation with evolutionary training datacited by 80
  10. 2019Monocular 3D Human Pose Estimation by Generation and Ordinal Rankingcited by 76
  11. 2022GFPose: Learning 3D Human Pose Prior with Gradient Fieldscited by 57
  12. 2020Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusioncited by 39
  13. 2021Context Modeling in 3D Human Pose Estimation: A Unified Perspectivecited by 37
  14. 2017Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detectionscited by 30
  15. 2020GraphMDN: Leveraging graph structure and deep learning to solve inverse problemscited by 26
  16. 2020Weakly Supervised Generative Network for Multiple 3D Human Pose Hypothesescited by 25
  17. 2022GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimationcited by 21
  18. 2023Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimationcited by 19
  19. 2020HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimationcited by 12
  20. 2023HTNet: Human Topology Aware Network for 3D Human Pose Estimationcited by 6

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