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3D Human Pose Estimation

45 papers with code · Computer Vision
Subtask of Pose Estimation

3D Human Pose Estimation is the task of estimating the pose of a human from a picture or set of video frames.

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Greatest papers with code

Convolutional Pose Machines

CVPR 2016 CMU-Perceptual-Computing-Lab/openpose

Pose Machines provide a sequential prediction framework for learning rich implicit spatial models.

3D HUMAN POSE ESTIMATION STRUCTURED PREDICTION

3D human pose estimation in video with temporal convolutions and semi-supervised training

CVPR 2019 facebookresearch/VideoPose3D

We start with predicted 2D keypoints for unlabeled video, then estimate 3D poses and finally back-project to the input 2D keypoints.

3D HUMAN POSE ESTIMATION

End-to-end Recovery of Human Shape and Pose

CVPR 2018 akanazawa/hmr

The main objective is to minimize the reprojection loss of keypoints, which allow our model to be trained using images in-the-wild that only have ground truth 2D annotations.

#3 best model for 3D Human Pose Estimation on 3DPW (using extra training data)

3D HUMAN POSE ESTIMATION

A simple yet effective baseline for 3d human pose estimation

ICCV 2017 una-dinosauria/3d-pose-baseline

Following the success of deep convolutional networks, state-of-the-art methods for 3d human pose estimation have focused on deep end-to-end systems that predict 3d joint locations given raw image pixels.

3D HUMAN POSE ESTIMATION 3D POSE ESTIMATION

QuaterNet: A Quaternion-based Recurrent Model for Human Motion

16 May 2018facebookresearch/QuaterNet

Deep learning for predicting or generating 3D human pose sequences is an active research area.

3D HUMAN POSE ESTIMATION MOTION ESTIMATION

Learnable Triangulation of Human Pose

ICCV 2019 karfly/learnable-triangulation-pytorch

We present two novel solutions for multi-view 3D human pose estimation based on new learnable triangulation methods that combine 3D information from multiple 2D views.

 SOTA for 3D Human Pose Estimation on Human3.6M (using extra training data)

3D HUMAN POSE ESTIMATION

Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach

ICCV 2017 xingyizhou/pytorch-pose-hg-3d

We propose a weakly-supervised transfer learning method that uses mixed 2D and 3D labels in a unified deep neutral network that presents two-stage cascaded structure.

POSE PREDICTION REGRESSION TRANSFER LEARNING

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

CVPR 2017 DenisTome/Lifting-from-the-Deep-release

We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks.

3D HUMAN POSE ESTIMATION 3D POSE ESTIMATION