HTNet: Human Topology Aware Network for 3D Human Pose Estimation
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Abstract (arXiv)
3D human pose estimation errors would propagate along the human body topology and accumulate at the end joints of limbs. Inspired by the backtracking mechanism in automatic control systems, we design an Intra-Part Constraint module that utilizes the parent nodes as the reference to build topological constraints for end joints at the part level. Further considering the hierarchy of the human topology, joint-level and body-level dependencies are captured via graph convolutional networks and self-attentions, respectively. Based on these designs, we propose a novel Human Topology aware Network (HTNet), which adopts a channel-split progressive strategy to sequentially learn the structural priors of the human topology from multiple semantic levels: joint, part, and body. Extensive experiments show that the proposed method improves the estimation accuracy by 18.7% on the end joints of limbs and achieves state-of-the-art results on Human3.6M and MPI-INF-3DHP datasets. Code is available at https://github.com/vefalun/HTNet.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 14 of its 28 references that are in the map. First posted on arXiv 20 Feb 2023.
Builds on
14 of 28 references.
References · 14
- 2021MLP-Mixer: An all-MLP Architecture for Visioncited by 1,441
- 2016Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervisioncited by 493
- 2017A simple yet effective baseline for 3d human pose estimationcited by 401
- 20183D human pose estimation in video with temporal convolutions and semi-supervised trainingcited by 401
- 2017Cascaded Pyramid Network for Multi-Person Pose Estimationcited by 341
- 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 271
- 2021MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimationcited by 151
- 2017Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approachcited by 114
- 2020SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approachcited by 94
- 2021Graph Stacked Hourglass Networks for 3D Human Pose Estimationcited by 94
- 2021Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformercited by 68
- 2021Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimationcited by 62
Built on by
Citing papers per year: 2023: 1; 2024: 2; 2025: 2; 2026: 1.
6 papers.
- 2023Double-chain Constraints for 3D Human Pose Estimation in Images and Videoscited by 4
- 2025NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimationcited by 2
- 2024Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaitoncited by 1
- 2025Spectral Compression Transformer with Line Pose Graph for Monocular 3D Human Pose Estimationcited by 1
- 2024Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimationcited by 0
- 2026KAD-Net: Kinematics-Aware Decoupled Learning for Robust 3D Hand Pose Estimation from a Single Depth Imagecited by 0
- 2026KAD-Net: Kinematics-Aware Decoupled Learning for Robust 3D Hand Pose Estimation from a Single Depth Image11 Sep 2026
- 2025Spectral Compression Transformer with Line Pose Graph for Monocular 3D Human Pose Estimation27 May 2025
- 2025NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation27 Jan 2025
- 2024Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimation3 May 2024
- 2024Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton10 Jan 2024
- 2023Double-chain Constraints for 3D Human Pose Estimation in Images and Videos10 Aug 2023