Dynamics prediction on TBL
0.38Rollout NRMSE (Step 1)Tadpole-B-LoRA-64
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tadpole-B-LoRA-64Trainable Params (M)=9.3M2026.05 | 0.38 | 1.05 | 1.9 | 2.7 | 3.46 | 4.18 | 4.85 | 5.47 | 6.09 | 6.69 | 3.68 | |
| Tadpole-L-LoRA-32Trainable Params (M)=13.6M2026.05 | 0.39 | 1.08 | 1.94 | 2.77 | 3.6 | 4.4 | 5.15 | 5.85 | 6.57 | 7.24 | 3.9 | |
| Swin3DTrainable Params (M)=50.3M2026.05 | 0.4 | 1.16 | 1.73 | 2.44 | 3.11 | 3.74 | 4.3 | 4.82 | 5.36 | 5.86 | 3.29 | |
| Tadpole-B-LoRA-32Trainable Params (M)=6.5M2026.05 | 0.41 | 1.11 | 2.05 | 2.95 | 3.81 | 4.61 | 5.32 | 5.99 | 6.65 | 7.27 | 4.02 | |
| Tadpole-B-LoRA-16Trainable Params (M)=5.1M2026.05 | 0.46 | 1.17 | 2.07 | 2.93 | 3.79 | 4.62 | 5.39 | 6.13 | 6.86 | 7.58 | 4.1 | |
| WalrusTrainable Params (M)=1300.0M2026.05 | 0.49 | 1.09 | 1.8 | 2.49 | 3.17 | 3.84 | 4.43 | 4.98 | 5.57 | 6.05 | 3.39 | |
| Tadpole-B-ScratchTrainable Params (M)=41.6M2026.05 | 0.49 | 1.3 | 2.41 | 3.62 | 4.91 | 6.2 | 7.44 | 8.67 | 9.87 | 11.04 | 5.59 | |
| AFNOTrainable Params (M)=64.1M2026.05 | 0.52 | 1.2 | 2.01 | 2.76 | 3.5 | 4.2 | 4.83 | 5.42 | 6 | 6.54 | 3.7 | |
| Tadpole-S-LoRA-32Trainable Params (M)=3.0M2026.05 | 0.55 | 1.35 | 2.27 | 3.14 | 3.99 | 4.81 | 5.58 | 6.32 | 7.06 | 7.79 | 4.29 | |
| Tadpole-B-FPFTTrainable Params (M)=41.6M2026.05 | 0.57 | 1.42 | 2.61 | 3.78 | 4.91 | 5.97 | 6.93 | 7.83 | 8.7 | 9.54 | 5.22 | |
| AViTTrainable Params (M)=60.0M2026.05 | 0.87 | 1.58 | 2.39 | 3.16 | 3.9 | 4.61 | 5.24 | 5.83 | 6.41 | 6.94 | 4.09 | |
| MorphNet-STrainable Params (M)=32.8M2026.05 | 0.95 | 1.55 | 2.26 | 2.96 | 3.66 | 4.33 | 4.94 | 5.48 | 6.02 | 6.52 | 3.87 | |
| DPOT-STrainable Params (M)=49.5M2026.05 | 1.01 | 1.6 | 2.31 | 3 | 3.7 | 4.38 | 5 | 5.58 | 6.17 | 6.71 | 3.95 | |
| Latent DynamicsTrainable Params (M)=7.4M2026.05 | 11.3 | 15.48 | 18.54 | 20.17 | 21.64 | 22.83 | 23.64 | 23.89 | 24.52 | 24.79 | 20.68 |