PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation

Benchmark Model Rank Results
3d-human-pose-estimation-on-3dpwHR-Net+ST-GCN+PoseAug#70PA-MPJPE: 73.2
3d-human-pose-estimation-on-human36mHR-Net+VPose+PoseAug#44Average MPJPE (mm): 50.2Using 2D ground-truth joints: No
3d-human-pose-estimation-on-human36mHR-Net+ST-GCN+PoseAug#48Average MPJPE (mm): 50.8Using 2D ground-truth joints: No
3d-human-pose-estimation-on-mpi-inf-3dhpPoseAug (+Extra2D)#25MPJPE: 71.1AUC: 57.9PCK: 89.2
3d-human-pose-estimation-on-mpi-inf-3dhpVPose+PoseAug#27MPJPE: 73AUC: 57.3PCK: 88.6
3d-human-pose-estimation-on-mpi-inf-3dhpHR-Net+VPose+PoseAug#28MPJPE: 73.2
3d-human-pose-estimation-on-mpi-inf-3dhpHR-Net+ST-GCN+PoseAug#30MPJPE: 76.6
monocular-3d-human-pose-estimation-on-human3HR-Net+VPose+PoseAug#20Average MPJPE (mm): 50.2PA-MPJPE: 39.1
monocular-3d-human-pose-estimation-on-human3PoseAug#41Use Video Sequence: NoFrames Needed: 1Need Ground Truth 2D Pose: No
weakly-supervised-3d-human-pose-estimation-on-human36mPoseAug#6Average MPJPE (mm): 56.7Number of Views: 1
weakly-supervised-3d-human-pose-estimation-on-human36mPoseAug#21Number of Frames Per View: 13D Annotations: S1