CMU Motion Capture
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| S2S (T=1) 3D Joint Trajectory Prediction | CMU Motion Capture Run, Subject #9 2003 (test) | F-MSE3.5 | 9 | |
| S2S (T=1) 3D Joint Trajectory Prediction | CMU Motion Capture Walk, Subject #35 Graphics Lab 2003 (test) | F-MSE8.45 | 9 | |
| Human Motion Capture | CMU Motion Capture Subject #9 Run (test) | MSE25.9 | 7 | |
| Human Motion Capture | CMU Motion Capture Subject #35 Walk (test) | MSE8.5 | 7 | |
| Inference in Gaussian Process Dynamical Systems | CMU Motion Capture subject 64 (Trial 10) | NLLz25.42 | 4 | |
| Inference in Gaussian Process Dynamical Systems | CMU Motion Capture subject 64 (Trial 9) | NLLz14.71 | 4 | |
| Inference in Gaussian Process Dynamical Systems | CMU Motion Capture subject 64 (Trial 8) | NLLz13.82 | 4 | |
| S2T (T=5) 3D Joint Trajectory Prediction | CMU Motion Capture Run Subject #9 2003 (test) | A-MSE3.33 | 4 | |
| S2T (T=5) 3D Joint Trajectory Prediction | CMU Motion Capture Walk, Subject #35 2003 (test) | A-MSE0.86 | 4 | |
| Non-Rigid Structure from Motion | CMU Motion Capture Long Sequences (test) | S1 Error4.97 | 4 | |
| Activity Classification | CMU Motion Capture dataset (test) | Jump Classification Rate78 | 2 | |
| Future Frame Prediction | CMU Motion Capture Subject 35 (test) | MSE (Test)22.96 | 1 |
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