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3D Human Pose Estimation

69 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.

( Image credit: 3d-pose-baseline )

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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

XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera

1 Jul 2019osmr/imgclsmob

The first stage is a convolutional neural network (CNN) that estimates 2D and 3D pose features along with identity assignments for all visible joints of all individuals. We contribute a new architecture for this CNN, called SelecSLS Net, that uses novel selective long and short range skip connections to improve the information flow allowing for a drastically faster network without compromising accuracy.

3D HUMAN POSE ESTIMATION MOTION CAPTURE

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.

#7 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

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

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

CVPR 2019 vchoutas/smplify-x

We use the new method, SMPLify-X, to fit SMPL-X to both controlled images and images in the wild.

3D HUMAN POSE ESTIMATION 3D RECONSTRUCTION

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