KIT-ML
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| text-to-motion mapping | KIT-ML (test) | R Precision (Top 3)86.34 | 275 | |
| Text-to-motion generation | KIT-ML (test) | FID0.031 | 115 | |
| Motion-to-text retrieval | KIT-ML (test) | R@160.23 | 41 | |
| Text-to-Motion | KIT-ML | R@382.6 | 33 | |
| Text-to-motion retrieval | KIT-ML (test) | R@156.83 | 17 | |
| Motion-to-text retrieval | KIT-ML | R@155.11 | 16 | |
| Text-to-motion retrieval | KIT-ML | R@153.55 | 16 | |
| Text-to-motion generation | KIT-ML 1.0 (test) | R-Precision Top 142.8 | 14 | |
| text-to-motion generation | KIT-ML 52 (test) | R-Precision Top-10.436 | 11 | |
| text-to-motion synthesis | KIT-ML | R Precision Top 141.9 | 10 | |
| motion-to-text translation | KIT-ML (test) | BLEU@156.8 | 10 | |
| Motion Understanding | KIT-ML (test) | BLEU@158.4 | 9 | |
| Text-to-Motion Generation | KIT-ML 46 (test) | R-Precision Top 144.9 | 9 | |
| Motion-video retrieval | KIT-ML (test) | Recall@166 | 9 | |
| Video-motion retrieval | KIT-ML (test) | Recall@166 | 9 | |
| Motion-to-language translation | KIT-ML (original) | BLEU (1-gram)0.304 | 9 | |
| Text-to-motion generation | KIT-ML full dimension (test) | R-Precision@138.7 | 9 | |
| Motion-to-Text | KIT-ML | R@154 | 8 | |
| Motion Captioning | KIT-ML | BLEU@158.4 | 5 |
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