Multi-layer Depth Estimation on LayeredFlow (val)
3.13Layer 1 EPEDepthFocus
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DepthFocusEstimation strategy=nearest-intended2025.11 | 3.13 | 36.31 | 13.95 | 7.78 | — | — | — | — | — | — | — | — | |
| DepthFocusNumber of layers=4layer, Estimation strategy=clustering2025.11 | 3.27 | 40.43 | 15.93 | 9.25 | 7.77 | 57.47 | 36.8 | 28.7 | 1.97 | 38.86 | 8.5 | 5.26 | |
| S²M²Fine-tuning=ft2025.11 | 8.79 | 39.7 | 23.1 | 18.48 | — | — | — | — | — | — | — | — | |
| ASGraspNumber of layers=2layer, Fine-tuning=ft2025.11 | 13.02 | 77.38 | 54.59 | 42.82 | — | — | — | — | 9.53 | 65.99 | 41.09 | 34.91 | |
| StereoAnywhere2025.11 | 13.16 | 78.05 | 60.42 | 49.05 | — | — | — | — | — | — | — | — | |
| FoundationStereo2025.11 | 17.56 | 59.9 | 46.75 | 40.93 | — | — | — | — | — | — | — | — | |
| ASGraspNumber of layers=4layer, Fine-tuning=ft2025.11 | 20.18 | 86.88 | 73.68 | 62.97 | 17.07 | 71.58 | 59.23 | 53.83 | 9.34 | 70.34 | 47.46 | 36.84 | |
| RAFTNumber of layers=4layer2025.11 | 22.3 | 88.15 | 73.24 | 64.6 | 15.59 | 72.27 | 57.02 | 47.34 | 7.74 | 69.83 | 49.39 | 44.73 |