89 datasets found

The Human3.6M dataset is a large-scale dataset for 3D human pose estimation in videos. It consists of 3.6 million frames captured by four 50 Hz cameras.

DiffPose: A conditional diffusion model for multi-hypothesis human pose estimation from a single image.

A new dataset for multi-person 3D pose estimation with occlusion handling in moving camera environments.

Human pose estimation dataset

Human pose estimation dataset

Human pose estimation using Spatial Attention-based Distribution Integration Network (SADI-NET)

Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be...

The COCO keypoint benchmark is a widely used dataset for human pose estimation.

Multi-person pose estimation is a fundamental yet challenging task in computer vision. Both rich context information and spatial information are required to precisely locate the...

A dataset for handgun detection using combined human pose and weapon appearance

LSP: Large-Scale Partial Human Body Part Annotation. LSP: Large-Scale Partial Human Body Part Annotation. LSP: Large-Scale Partial Human Body Part Annotation. LSP: Large-Scale...

2D human pose estimation: New benchmark and state of the art analysis

Human pose estimation using Convolutional Neural Networks

3D human pose and mesh estimation, the task of recon-structing human pose in 3D space given a 2D image of the person, is an ill-posed problem, and many data-driven ap-proaches...

Human3.6m: Large scale datasets and predictive methods for 3D human sensing in natural environments.

Human pose estimation dataset

Multi-person pose estimation framework using dynamic instance-aware convolutions

The TikTok dataset is used for human pose estimation task. It contains videos of humans performing different actions.

High-resolution representation is necessary for human pose estimation to achieve high performance, and the ensuing problem is high computational complexity.

The HumanEva-I dataset is a dataset for 3D human pose estimation, containing video sequences of four subjects performing six common actions.