Human Pose Forecasting On Amass
Metriken
ADE
APD
FDE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | ADE | APD | FDE |
|---|---|---|---|
| the-pose-knows-video-forecasting-by | 0.656 | 9.283 | 0.675 |
| space-time-separable-graph-convolutional-1 | - | - | - |
| anypose-anytime-3d-human-pose-forecasting-via | - | - | - |
| back-to-mlp-a-simple-baseline-for-human | - | - | - |
| dlow-diversifying-latent-flows-for-diverse | 0.590 | 13.170 | 0.612 |
| belfusion-latent-diffusion-for-behavior | 0.513 | 9.376 | 0.560 |
| transfusion-a-practical-and-effective | 0.508 | 8.853 | 0.568 |
| gcnext-towards-the-unity-of-graph | - | - | - |
| generating-smooth-pose-sequences-for-diverse | 0.563 | 12.465 | 0.613 |
| a-generic-diffusion-based-approach-for-3d | - | - | - |
| towards-accurate-human-motion-prediction-via | - | - | - |