mlsanityData to 7 Oct 2026

Interweaved Graph and Attention Network for 3D Human Pose Estimation

arXiv 2304.14045 ↗First posted 27 Apr 2023cs.CV cs.AI cs.LGcited by 2

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Abstract (arXiv)

Despite substantial progress in 3D human pose estimation from a single-view image, prior works rarely explore global and local correlations, leading to insufficient learning of human skeleton representations. To address this issue, we propose a novel Interweaved Graph and Attention Network (IGANet) that allows bidirectional communications between graph convolutional networks (GCNs) and attentions. Specifically, we introduce an IGA module, where attentions are provided with local information from GCNs and GCNs are injected with global information from attentions. Additionally, we design a simple yet effective U-shaped multi-layer perceptron (uMLP), which can capture multi-granularity information for body joints. Extensive experiments on two popular benchmark datasets (i.e. Human3.6M and MPI-INF-3DHP) are conducted to evaluate our proposed method.The results show that IGANet achieves state-of-the-art performance on both datasets. Code is available at https://github.com/xiu-cs/IGANet.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 18 of its 25 references that are in the map. First posted on arXiv 27 Apr 2023.

Builds on

18 of 25 references.

References · 18

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
  4. 2016Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervisioncited by 493
  5. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  6. 2017Cascaded Pyramid Network for Multi-Person Pose Estimationcited by 341
  7. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 271
  8. 2021Mesh Graphormercited by 264
  9. 2020Deep Learning-Based Human Pose Estimation: A Surveycited by 205
  10. 2019Semantic Graph Convolutional Networks for 3D Human Pose Regressioncited by 204
  11. 2021MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimationcited by 151
  12. 2020SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approachcited by 94
6 more
  1. 2021Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimationcited by 94
  2. 2021Graph Stacked Hourglass Networks for 3D Human Pose Estimationcited by 94
  3. 2019Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Networkcited by 92
  4. 2021PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimationcited by 88
  5. 2021A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Posecited by 21
  6. 2022GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimationcited by 21

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 0; 2026: 1.

2 papers.

  1. 2024Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Videocited by 1
  2. 2026RePos: Relative-to-Absolute Pose Factorization for Cross-Environment WiFi-Based 3D Human Pose Estimationcited by 0