Skip to content

luzzou/3d-human-pose-estimation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

64 Commits
 
 

Repository files navigation

#Important Conferences:

Jan: IJCAI SIGGRAPH ICML

Feb:

Mar: ECCV/ICCV

Apr: BMVC

May: NIPS

June:

July:

Aug:

Sep: AAAI ICLR

Oct:

Nov: CVPR

Monocular Methods

  1. A simple yet effective baseline for 3d human pose estimation (iccv2017)

    [paper] [code]

  2. Towards 3d human pose estimation in the wild: a weakly-supervised approach (iccv2017)

    [paper] [code]

  3. 3D Human Pose Estimation in the Wild by Adversarial Learning (cvpr2018)

    [paper]

  4. Ordinal Depth Supervision for 3D Human Pose Estimation (cvpr2018)

    [paper][code]

  5. Integral human pose regression (eccv2018)

    [paper] [code]

  6. It’s all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data (bmvc2018)

    [paper][code] [project]

  7. Learning pose grammar to encode human body configuration for 3D pose estimation (aaai2018)

    [paper][code]

  8. RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation (cvpr2019)

    [paper] [code]

  9. Unsupervised 3D Pose Estimation with Geometric Self-Supervision (cvpr2019)

    [paper]

  10. In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations (cvpr2019)(oral)

    [paper]

  11. Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation (cvpr2019)(oral)

    [paper][project]

  12. Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (cvpr2019)

    [paper][code]

  13. Generalizing Monocular 3D Human Pose Estimation in the Wild (iccv2019 workshop)

    [paper][code][project]

  14. Geometry-driven Self-supervised Method for 3D Human Pose Estimation (aaai2020)

    [paper][code]

  15. Cascaded Deep Monocular 3D Human Pose Estimation with Evolutionary Training Data (cvpr2020)

    [paper][code]

  16. Deep Kinematics Analysis for Monocular 3D Human Pose Estimation (cvpr2020)

    [paper]

  17. CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild (cvpr2021)

    [paper]

Video

  1. Exploiting temporal information for 3d human pose estimation (eccv2018)

    [paper]

  2. 3D human pose estimation in video with temporal convolutions and semi-supervised training (cvpr2019)

    [paper][code] [project]

  3. Chirality Nets for Human Pose Regression (nips2019)

    [paper][code] [project]

  4. Exploiting temporal context for 3D human pose estimation in the wild (cvpr2019)

    [paper][code]

  5. Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks (iccv2019)

    [paper] [code]

  6. Occlusion-Aware Networks for 3D Human Pose Estimation in Video (iccv2019)

    [paper][code][project]

  7. 3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training (aaai2020)

    [paper] [project]

  8. Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction (cvpr2020)

    [paper] [code]

  9. Anatomy-aware 3D Human Pose Estimation in Videos (arXiv2020)

    [paper][code][project]

  10. GAST-Net: Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (arXiv2020)

    [paper] [code] [project]

  11. Motion Guided 3D Pose Estimation from Videos (eccv2020)

    [paper]

  12. Graph Stacked Hourglass Networks for 3D Human Pose Estimation (cvpr2021)

    [paper]

GCN

  1. Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks (iccv2019)

    [paper][code][project]

  2. Semantic Graph Convolutional Networks for 3D Human Pose Regression (cvpr2019)

    [paper] [code][project]

  3. Optimizing Network Structure for 3D Human Pose Estimation (iccv2019)

    [paper] [code]

  4. DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation (aaai2020)

    [paper] [code]

  5. GAST-Net: Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (arXiv2020)

    [paper][code][project]

  6. Graph Stacked Hourglass Networks for 3D Human Pose Estimation (cvpr2021)

    [paper]

Transformer

  1. 3D Human Pose Estimation with Spatial and Temporal Transformers (arXiv2021)

    [paper] [code]

  2. LiftFormer: 3D Human Pose Estimation using attention models (arXiv2021)

    [paper] [code]

  3. Lifting Transformer for 3D Human Pose Estimation in Video (arXiv2021)

    [paper] [code]

Multimodal

  1. Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses (iccv17)

    [paper]

  2. Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network (cvpr2019)

    [paper] [code]

  3. Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking (iccv2019)

    [paper] [code][project]

  4. Multimodal 3D Human Pose Estimation from a Single Image (3dv2019)

    [paper]

Multi-view Methods

  1. Learning Monocular 3D Human Pose Estimation from Multi-view Images (CVPR2018)

    [paper][code][project]

  2. Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation (CVPR2019 oral)

    [paper][code][project]

  3. Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation (ECCV2018)

    [paper][code][project]

  4. Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

    [paper][code][project]

  5. Learnable Triangulation of Human Pose (iccv2019)(Oral)

    [paper] [code] [project]

  6. Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild (cvpr2020)

    [paper][code][project]

  7. MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation (cvpr2020)

    [paper][code][project]

  8. Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach (cvpr2020)

    [paper][code][project]

3D Pose Datasets

[downloader1][downloader2]

About

Important papers about 3D human pose estimation.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published