Browse SoTA > Computer Vision > Pose Estimation > 3D Human Pose Estimation

3D Human Pose Estimation

72 papers with code ยท 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 )

Benchmarks

Latest papers without code

Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation

4 Aug 2020

Our approach not only generalizes to in-the-wild images, but also yields a superior trade-off between speed and performance, compared to prior top-down approaches.

3D HUMAN POSE ESTIMATION 3D POSE ESTIMATION

HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation

1 Aug 2020

The HMOR encodes interaction information as the ordinal relations of depths and angles hierarchically, which captures the body-part and joint level semantic and maintains global consistency at the same time.

3D HUMAN POSE ESTIMATION 3D POSE ESTIMATION DEPTH ESTIMATION

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

27 Jul 2020

3D human shape and pose estimation from monocular images has been an active area of research in computer vision, having a substantial impact on the development of new applications, from activity recognition to creating virtual avatars.

3D HUMAN POSE ESTIMATION 3D SHAPE RECONSTRUCTION ACTIVITY RECOGNITION CONTRASTIVE LEARNING SELF-SUPERVISED LEARNING SUPER-RESOLUTION

Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry

21 Jul 2020

In this paper, we depart from the multi-person 3D pose estimation formulation, and instead reformulate it as crowd pose estimation.

3D HUMAN POSE ESTIMATION 3D POSE ESTIMATION DEPTH ESTIMATION

SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach

18 Jul 2020

With the reduced dimensionality of less relevant body areas, the training set distribution within network branches more closely reflects the statistics of local poses instead of global body poses, without sacrificing information important for joint inference.

3D HUMAN POSE ESTIMATION

Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation

16 Jul 2020

2D/3D human pose estimation is needed to develop novel intelligent tools for the operating room that can analyze and support the clinical activities.

3D HUMAN POSE ESTIMATION 3D POSE ESTIMATION

MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation

12 Jul 2020

Heatmap representations have formed the basis of human pose estimation systems for many years, and their extension to 3D has been a fruitful line of recent research.

3D HUMAN POSE ESTIMATION

Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation

4 Jul 2020

In this work, we propose a novel framework, Inference Stage Optimization (ISO), for improving the generalizability of 3D pose models when source and target data come from different pose distributions.

3D HUMAN POSE ESTIMATION SELF-SUPERVISED LEARNING

Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation

24 Jun 2020

However, generalizability of human pose estimation models developed using supervision on large-scale in-studio datasets remains questionable, as these models often perform unsatisfactorily on unseen in-the-wild environments.

3D HUMAN POSE ESTIMATION 3D POSE ESTIMATION

Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods

2 Jun 2020

Vision-based monocular human pose estimation, as one of the most fundamental and challenging problems in computer vision, aims to obtain posture of the human body from input images or video sequences.

3D HUMAN POSE ESTIMATION