computer-vision-19
3D Human Pose Estimation
3260 papers • 126 benchmarks • 313 datasets
3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in 3d-human-pose-estimation-19
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Human3.6M
Human3.6M
3DPW
3DPW
MPI-INF-3DHP
MPI-INF-3DHP
Libraries
iUse these libraries to find 3d-human-pose-estimation-19 models and implementations
10 papers 5,879
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No datasets available.
