mlsanityData to 14 Oct 2026

OriNet: A Fully Convolutional Network for 3D Human Pose Estimation

arXiv 1811.04989 ↗First posted 12 Nov 2018cs.CVcited by 28

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Abstract (arXiv)

In this paper, we propose a fully convolutional network for 3D human pose estimation from monocular images. We use limb orientations as a new way to represent 3D poses and bind the orientation together with the bounding box of each limb region to better associate images and predictions. The 3D orientations are modeled jointly with 2D keypoint detections. Without additional constraints, this simple method can achieve good results on several large-scale benchmarks. Further experiments show that our method can generalize well to novel scenes and is robust to inaccurate bounding boxes.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Nov 2018.

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Citing papers per year: 2021: 15; 2022: 5; 2023: 5; 2024: 3.

28 papers.

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  1. 2021A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Posecited by 233
  2. 2021Graph Stacked Hourglass Networks for 3D Human Pose Estimationcited by 95
  3. 2021PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimationcited by 89
  4. 2021Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimationcited by 62
  5. 2021Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspectivecited by 50
  6. 2021Context Modeling in 3D Human Pose Estimation: A Unified Perspectivecited by 37
  7. 2021ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Posescited by 35
  8. 2021AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generationcited by 32
  9. 2023Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimationcited by 19
  10. 2023Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimationcited by 19
  11. 2021Hierarchical Graph Networks for 3D Human Pose Estimationcited by 12
  12. 2023PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimationcited by 12
16 more
  1. 2021Self-Supervised 3D Human Pose Estimation with Multiple-View Geometrycited by 10
  2. 2022Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimationcited by 10
  3. 2022DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimationcited by 8
  4. 2021Learning Temporal 3D Human Pose Estimation with Pseudo-Labelscited by 4
  5. 2021Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Conceptcited by 4
  6. 2022PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learningcited by 4
  7. 2024Human Modelling and Pose Estimation Overviewcited by 4
  8. 2021PONet: Robust 3D Human Pose Estimation via Learning Orientations Onlycited by 2
  9. 20233D Human Pose Lifting with Grid Convolutioncited by 2
  10. 2024Data Augmentation in Human-Centric Visioncited by 2
  11. 2024Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Trainingcited by 2
  12. 20213D Human Pose Estimation Based on 2D-3D Consistency with Synchronized Adversarial Trainingcited by 1
  13. 2021Deep3DPose: Realtime Reconstruction of Arbitrarily Posed Human Bodies from Single RGB Imagescited by 0
  14. 2022"Teaching Independent Parts Separately" (TIPSy-GAN) : Improving Accuracy and Stability in Unsupervised Adversarial 2D to 3D Pose Estimationcited by 0
  15. 2022K-Order Graph-oriented Transformer with GraAttention for 3D Pose and Shape Estimationcited by 0
  16. 2023PoseGraphNet++: Enriching 3D Human Pose with Orientation Estimationcited by 0