| Paper | Code | Depth-MAE | Depth-RMSE | Depth-MARE | Depth-LRCE | Disp-MAE | Disp-RMSE | Disp-MARE | Disp-LRCE | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model | ✓ Link | 1.463 | 3.767 | 0.108 | 0.397 | 0.158 | 0.338 | 0.120 | 0.058 | DFI-OmniStereo | 2025-03-30 |
| Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation | ✓ Link | 1.720 | 4.297 | 0.130 | 0.388 | 0.188 | 0.404 | 0.146 | 0.054 | 360-IGEV-Stereo | 2024-11-27 |
| Iterative Geometry Encoding Volume for Stereo Matching | ✓ Link | 1.860 | 4.474 | 0.146 | 1.203 | 0.225 | 0.423 | 0.172 | IGEV-Stereo | 2023-03-12 | |
| 360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume | ✓ Link | 2.112 | 5.077 | 0.152 | 0.904 | 0.224 | 0.419 | 0.191 | 360SD-Net | 2019-11-11 | |
| Pyramid Stereo Matching Network | ✓ Link | 2.509 | 5.673 | 0.176 | 1.809 | 0.286 | 0.496 | 0.248 | PSMNet | 2018-03-23 |