Point Cloud Reconstruction on DTU (evaluation)
0.283Accuracy Error (mm)Gipuma
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GipumaMethod Category=Traditional, Image Resolution=1600x1152, Number of input images=52024.11 | 0.283 | 0.873 | 0.578 | |
| MVSFormer++Method Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.309 | 0.252 | 0.281 | |
| GBiNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.315 | 0.262 | 0.289 | |
| TransMVSNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.321 | 0.289 | 0.305 | |
| GeoMVSMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.331 | 0.259 | 0.295 | |
| GD-PoseMVSMethod Category=Scale-agnostic, Image Resolution=1600x1152, Number of input images=52024.11 | 0.338 | 0.331 | 0.335 | |
| MVSTER*Method Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.34 | 0.266 | 0.303 | |
| UniMVSNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.352 | 0.278 | 0.315 | |
| DispMVSMethod Category=Scale-agnostic, Image Resolution=1600x1152, Number of input images=52024.11 | 0.354 | 0.324 | 0.339 | |
| CER-MVSMethod Category=RNN-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.359 | 0.305 | 0.332 | |
| IterMVSMethod Category=RNN-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.373 | 0.354 | 0.363 | |
| AA-RMVSNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.376 | 0.339 | 0.357 | |
| MVSNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.396 | 0.527 | 0.462 | |
| COLMAPMethod Category=Traditional, Image Resolution=1600x1152, Number of input images=52024.11 | 0.4 | 0.664 | 0.532 | |
| PatchmatchNetMethod Category=Learning-based, Image Resolution=1600x1152, Number of input images=52024.11 | 0.427 | 0.277 | 0.352 | |
| RAMDepthMethod Category=Scale-agnostic, Image Resolution=1600x1152, Number of input images=52024.11 | 0.447 | 0.278 | 0.362 |