3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training

Benchmark Model Rank Results
3d-human-pose-estimation-on-3dpwSpatio-Temporal Network (T=128)PA-MPJPE: 71.8
3d-human-pose-estimation-on-human36mSpatio-Temporal Network (T=128)Average MPJPE (mm): 40.1Using 2D ground-truth joints: No
3d-human-pose-estimation-on-humaneva-iSpatio-Temporal Network (T=128)Mean Reconstruction Error (mm): 13.5
3d-human-pose-estimation-on-mpi-inf-3dhpSpatio-Temporal Network (T=128)PCK: 84.1
monocular-3d-human-pose-estimation-on-human3Spatio-Temporal Network (T=128)Average MPJPE (mm): 40.1Use Video Sequence: YesFrames Needed: 128