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Models/self-supervised mocap

self-supervised mocap

Reported on 9 benchmarks across 5 tasks · 1 paper · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision5 results

ReconstructiononSurreal
MPVPE· 2017-12-04
74.5
SOTA
Self-supervised Learning of Motion Capture arXiv:1712.01337
3D Human Pose EstimationonSurreal
MPJPE· uses extra data· 2017-12-04
64.4
SOTA
Self-supervised Learning of Motion Capture arXiv:1712.01337
Pose EstimationonSurreal
MPJPE· uses extra data· 2017-12-04
64.4
SOTA
Self-supervised Learning of Motion Capture arXiv:1712.01337
3D Human Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2017-12-04
98.4
best: 131.7 (Rhodin et al.)
Self-supervised Learning of Motion Capture arXiv:1712.01337
Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2017-12-04
98.4
best: 131.7 (Rhodin et al.)
Self-supervised Learning of Motion Capture arXiv:1712.01337

Methodology2 results

3DonSurreal
MPJPE· uses extra data· 2017-12-04
64.4
SOTA
Self-supervised Learning of Motion Capture arXiv:1712.01337
3DonHuman3.6M
Average MPJPE (mm)· 2017-12-04
98.4
best: 131.7 (Rhodin et al.)
Self-supervised Learning of Motion Capture arXiv:1712.01337

Audio2 results

1 Image, 2*2 StitchionSurreal
MPJPE· uses extra data· 2017-12-04
64.4
SOTA
Self-supervised Learning of Motion Capture arXiv:1712.01337
1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm)· 2017-12-04
98.4
best: 131.7 (Rhodin et al.)
Self-supervised Learning of Motion Capture arXiv:1712.01337