3D Human Pose Estimation
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.
Papers
Showing 1–10 of 665 papers
All datasets3DPWMPI-INF-3DHPHuman3.6MHumanEva-IH3WBTotal CaptureEMDBAGORAPanopticSurreal3D Poses in the Wild ChallengeAIST++
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CanonPose | MPJPE | 264.4 | — | Unverified |
| 2 | SimpleBaseline | MPJPE | 252 | — | Unverified |
| 3 | CanonPose | MPJPE | 193.7 | — | Unverified |
| 4 | SHN + SimpleBaseline | MPJPE | 189.6 | — | Unverified |
| 5 | CanonPose + 3D supervision | MPJPE | 155.9 | — | Unverified |
| 6 | Resnet50 | MPJPE | 151.6 | — | Unverified |
| 7 | CPN + Jointformer | MPJPE | 142.8 | — | Unverified |
| 8 | Large SimpleBaseline | MPJPE | 131.6 | — | Unverified |
| 9 | SimpleBaseline | MPJPE | 125.7 | — | Unverified |
| 10 | CanonPose + 3D supervision | MPJPE | 117.5 | — | Unverified |