About

This task targets at 3D Human Pose Estimation with fewer 3D annotation.

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Greatest papers with code

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.

MONOCULAR 3D HUMAN POSE ESTIMATION WEAKLY-SUPERVISED 3D HUMAN POSE ESTIMATION

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 POSE ESTIMATION MONOCULAR 3D HUMAN POSE ESTIMATION WEAKLY-SUPERVISED 3D HUMAN POSE ESTIMATION

Cascaded deep monocular 3D human pose estimation with evolutionary training data

CVPR 2020 Nicholasli1995/EvoSkeleton

End-to-end deep representation learning has achieved remarkable accuracy for monocular 3D human pose estimation, yet these models may fail for unseen poses with limited and fixed training data.

DATA AUGMENTATION MONOCULAR 3D HUMAN POSE ESTIMATION REPRESENTATION LEARNING WEAKLY-SUPERVISED 3D HUMAN POSE ESTIMATION

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation

ECCV 2018 hrhodin/UnsupervisedGeometryAwareRepresentationLearning

In this paper, we propose to overcome this problem by learning a geometry-aware body representation from multi-view images without annotations.

WEAKLY-SUPERVISED 3D HUMAN POSE ESTIMATION

TexturePose: Supervising Human Mesh Estimation with Texture Consistency

ICCV 2019 geopavlakos/TexturePose

Assuming that the texture of the person does not change dramatically between frames, we can apply a novel texture consistency loss, which enforces that each point in the texture map has the same texture value across all frames.

POSE ESTIMATION WEAKLY-SUPERVISED 3D HUMAN POSE ESTIMATION