9 datasets found

Human 3D pose estimation from a single image is a challenging task with numerous applications. Convolutional Neural Networks (CNNs) have recently achieved superior performance...

Human 3D pose estimation from a single image is a challenging task with numerous applications. Convolutional Neural Networks (CNNs) have recently achieved superior performance...

The Panoptic Studio Dataset is a large-scale multi-camera and markerless dataset for 3D human pose estimation.

MuPoTS-3D is a representative dataset for monocular 3DMPPE, composed of 20 few-second-long sequences with 2–3 people interacting with each other.

Local processing is an essential feature of CNNs and other neural network architectures—it is one of the reasons why they work so well on images where relevant information is,...

The dataset used in this paper is the FAUST dataset of human 3D poses.

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

The dataset used in the paper for 3D human pose estimation, which includes Human3.6M and MPI-INF-3DHP datasets.

MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A...