Monocular Depth Estimation On Eth3D
Métriques
Delta u003c 1.25
absolute relative error
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Delta u003c 1.25 | absolute relative error |
|---|---|---|
| depth-anything-unleashing-the-power-of-large | 0.882 | 0.0127 |
| distill-any-depth-distillation-creates-a | 0.981 | 0.054 |
| learning-to-recover-3d-scene-shape-from-a | 0.0777 | 0.0171 |
| midas-v3-1-a-model-zoo-for-robust-monocular | 0.867 | 0.0139 |
| towards-robust-monocular-depth-estimation | 0.0752 | 0.0184 |
| repurposing-diffusion-based-image-generators | 0.0960 | 0.065 |
| hierarchical-normalization-for-robust | 0.0833 | 0.0121 |
| vision-transformers-for-dense-prediction | 0.0946 | 0.078 |
| depthmaster-taming-diffusion-models-for | 0.974 | 0.053 |
| primedepth-efficient-monocular-depth | 0.967 | 0.068 |