| 0.4-1-1-0.2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| wanda-best-256-512 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| usedtu_dtu_shiyan2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| usedtu_dtu_shiyan1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| blended_shiyan8 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E5new | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| FE-blended-shiyan7 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E6new | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| blended_shiyan6 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| usedtu_blend_shiyan5 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| blend_shiyan4 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E6 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E5 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| FE-MVSNET3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E4 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E3new | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| FE-MVSNET2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewdifsd2359ckpt07 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewdifsd2359ckpt09 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewdifsd2359ckpt13 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewcassd2359sk11 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewdifsd2359ckpt11 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmacassd2359aftdt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmsd2359difaftdt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| diffmvs_AUTHOR | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| FE-MVSNET | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmambaseed2359dif | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmanbaseed2359cas | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| EIA-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| ETV-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| CS-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SMA-MVS |  | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
| Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology |
| Fast-Effi-MVS+-dtu | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| Effi-MVS+-dtu | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MGCNet | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SPE-MVS-test | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| EC-MVSNet | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| QAPM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| v144192 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v1921920 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v1192 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v1144 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v148 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v7n | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v1240 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v8 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v10 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| v2v482 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| V42 | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| GA-MVS | | | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 45 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 | 0.40 44 |
|
| Fast-Effi-MVS+ | | | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 57 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 | 0.41 56 |
|
| Effi-MVS+ | | | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 58 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 | 0.53 57 |
|
| CDS-MVSNet | | | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 59 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 59 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 | 0.88 58 |
|
| DeepMVS_CX |  | | | | | | 1.00 60 | 1.00 60 | 1.00 60 | 1.00 60 | 1.00 60 | 1.00 60 | 1.00 61 | 1.00 60 | 1.00 60 | | 1.00 60 | 1.00 60 |
|
| MDA-MVSNet-bldmvs | | | 1.20 60 | 1.20 60 | 1.20 60 | 1.20 60 | 1.20 61 | 1.20 61 | 1.20 61 | 1.20 61 | 1.20 61 | 1.20 61 | 1.20 62 | 1.20 61 | 1.20 61 | 1.20 60 | 1.20 61 | 1.20 61 |
|
| CVMVSNet | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| EU-MVSNet | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| PS-CasMVS | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| PEN-MVS | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| TransMVSNet (Re) | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| DTE-MVSNet | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| DU-MVS | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| UniMVSNet (Re) | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| CP-MVSNet | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| WR-MVS_H | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| WR-MVS | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| NR-MVSNet | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| Baseline_NR-MVSNet | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 61 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 62 | 1.42 63 | 1.42 62 | 1.42 62 | 1.42 61 | 1.42 62 | 1.42 62 |
|
| CDPH-MVS | | | 6.66 76 | 6.66 76 | 6.66 76 | 6.66 76 | 6.66 77 | 6.66 77 | 6.66 77 | 6.66 77 | 6.66 77 | 6.66 77 | 6.66 78 | 6.66 77 | 6.66 77 | 6.66 76 | 6.66 77 | 6.66 77 |
|
| MDTV_nov1_ep13_2view | | | 9.99 77 | 9.99 77 | 9.99 77 | 9.99 77 | 9.99 78 | 9.99 78 | 9.99 78 | 9.99 78 | 9.99 80 | 9.99 78 | 9.99 81 | 9.99 78 | 9.99 78 | 9.99 77 | 9.99 78 | 9.99 78 |
|
| MDTV_nov1_ep13 | | | 9.99 77 | 9.99 77 | 9.99 77 | 9.99 77 | 9.99 78 | 9.99 78 | 9.99 78 | 9.99 78 | 9.99 80 | 9.99 78 | 9.99 81 | 9.99 78 | 9.99 78 | 9.99 77 | 9.99 78 | 9.99 78 |
|
| GeoE | | | 20.05 80 | 18.83 80 | 21.47 80 | 25.60 80 | 29.60 81 | 22.50 80 | 31.20 80 | 19.10 81 | 8.30 79 | 13.50 81 | 9.40 80 | 17.80 80 | 14.10 80 | 17.50 80 | 23.40 81 | 28.60 81 |
|
| test_method | | | 18.19 79 | 15.64 79 | 21.17 79 | 19.00 79 | 22.00 80 | 22.50 80 | 38.00 81 | 15.50 80 | 7.50 78 | 13.00 80 | 7.00 79 | 19.00 81 | 15.50 81 | 15.50 79 | 21.00 80 | 21.00 80 |
|
| X-MVS | | | 52.20 82 | 52.20 82 | 52.20 82 | 52.20 82 | 52.20 83 | 52.20 83 | 52.20 82 | 52.20 83 | 52.20 90 | 52.20 83 | 52.20 100 | 52.20 85 | 52.20 83 | 52.20 82 | 52.20 85 | 52.20 85 |
|
| GBi-Net | | | 39.84 81 | 35.75 81 | 44.63 81 | 43.04 81 | 49.88 82 | 51.06 82 | 86.51 83 | 35.34 82 | 17.20 82 | 29.83 82 | 15.85 83 | 43.43 84 | 35.35 82 | 35.70 81 | 26.51 84 | 48.28 84 |
|
| new_pmnet | | | 75.00 83 | 74.67 83 | 75.39 83 | 85.42 85 | 96.03 87 | 98.77 86 | 173.23 84 | 69.57 84 | 36.19 83 | 56.93 84 | 117.43 106 | 32.98 82 | 85.38 91 | 68.41 83 | 25.74 82 | 28.95 82 |
|
| N_pmnet | | | 75.00 83 | 74.67 83 | 75.39 83 | 85.42 85 | 96.03 87 | 98.77 86 | 173.23 84 | 69.57 84 | 36.19 83 | 56.93 84 | 117.43 106 | 32.98 82 | 85.38 91 | 68.41 83 | 25.74 82 | 28.95 82 |
|
| FMVSNet5 | | | 116.86 88 | 110.47 89 | 124.32 88 | 131.47 91 | 157.41 94 | 150.67 93 | 199.64 86 | 115.30 92 | 56.61 96 | 97.70 93 | 51.77 90 | 117.26 89 | 77.26 84 | 113.14 90 | 90.25 95 | 160.68 92 |
|
| test1 | | | 116.86 88 | 110.47 89 | 124.32 88 | 131.47 91 | 157.41 94 | 150.67 93 | 199.64 86 | 115.30 92 | 56.61 96 | 97.70 93 | 51.77 90 | 117.26 89 | 77.26 84 | 113.14 90 | 90.25 95 | 160.68 92 |
|
| FMVSNet3 | | | 116.86 88 | 110.47 89 | 124.32 88 | 131.47 91 | 157.41 94 | 150.67 93 | 199.64 86 | 115.30 92 | 56.61 96 | 97.70 93 | 51.77 90 | 117.26 89 | 77.26 84 | 113.14 90 | 90.25 95 | 160.68 92 |
|
| FMVSNet2 | | | 116.86 88 | 110.47 89 | 124.32 88 | 131.47 91 | 157.41 94 | 150.67 93 | 199.64 86 | 115.30 92 | 56.61 96 | 97.70 93 | 51.77 90 | 117.26 89 | 77.26 84 | 113.14 90 | 90.25 95 | 160.68 92 |
|
| FMVSNet1 | | | 116.86 88 | 110.47 89 | 124.32 88 | 131.47 91 | 157.41 94 | 150.67 93 | 199.64 86 | 115.30 92 | 56.61 96 | 97.70 93 | 51.77 90 | 117.26 89 | 77.26 84 | 113.14 90 | 90.25 95 | 160.68 92 |
|
| MIMVSNet1 | | | 116.86 88 | 110.47 89 | 124.32 88 | 131.47 91 | 157.41 94 | 150.67 93 | 199.64 86 | 115.30 92 | 56.61 96 | 97.70 93 | 51.77 90 | 117.26 89 | 77.26 84 | 113.14 90 | 90.25 95 | 160.68 92 |
|
| MIMVSNet | | | 116.86 88 | 110.47 89 | 124.32 88 | 131.47 91 | 157.41 94 | 150.67 93 | 199.64 86 | 115.30 92 | 56.61 96 | 97.70 93 | 51.77 90 | 117.26 89 | 77.26 84 | 113.14 90 | 90.25 95 | 160.68 92 |
|
| CANet | | | 100.44 85 | 93.07 85 | 109.04 85 | 111.90 87 | 131.06 91 | 119.40 89 | 222.42 93 | 80.48 86 | 36.93 85 | 70.80 86 | 40.92 87 | 89.90 86 | 100.59 93 | 101.42 86 | 73.68 89 | 126.25 86 |
|
| CANet_DTU | | | 100.44 85 | 93.07 85 | 109.04 85 | 111.90 87 | 131.06 91 | 119.40 89 | 222.42 93 | 80.48 86 | 36.93 85 | 70.80 86 | 40.92 87 | 89.90 86 | 100.59 93 | 101.42 86 | 73.68 89 | 126.25 86 |
|
| UGNet | | | 100.44 85 | 93.07 85 | 109.04 85 | 111.90 87 | 131.06 91 | 119.40 89 | 222.42 93 | 80.48 86 | 36.93 85 | 70.80 86 | 40.92 87 | 89.90 86 | 100.59 93 | 101.42 86 | 73.68 89 | 126.25 86 |
| Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
| tmp_tt | | | | | 299.50 101 | 365.00 103 | 54.00 86 | 649.00 117 | 241.00 96 | 159.00 100 | 204.00 115 | 479.00 124 | 308.00 133 | 243.00 102 | 246.00 102 | 82.00 85 | 95.00 102 | |
|
| PVSNet_Blended_VisFu | | | 129.22 96 | 115.76 96 | 144.92 96 | 140.60 98 | 162.80 101 | 166.50 100 | 281.20 97 | 114.70 89 | 55.50 93 | 96.20 90 | 51.80 97 | 140.60 97 | 114.70 96 | 114.70 97 | 85.10 92 | 155.40 89 |
|
| PVSNet_BlendedMVS | | | 129.22 96 | 115.76 96 | 144.92 96 | 140.60 98 | 162.80 101 | 166.50 100 | 281.20 97 | 114.70 89 | 55.50 93 | 96.20 90 | 51.80 97 | 140.60 97 | 114.70 96 | 114.70 97 | 85.10 92 | 155.40 89 |
|
| PVSNet_Blended | | | 129.22 96 | 115.76 96 | 144.92 96 | 140.60 98 | 162.80 101 | 166.50 100 | 281.20 97 | 114.70 89 | 55.50 93 | 96.20 90 | 51.80 97 | 140.60 97 | 114.70 96 | 114.70 97 | 85.10 92 | 155.40 89 |
|
| ACMMP_NAP | | | 119.64 95 | 106.58 88 | 134.88 95 | 123.82 90 | 127.44 90 | 145.38 92 | 298.43 100 | 116.16 99 | 43.72 89 | 77.82 89 | 29.30 85 | 131.24 96 | 117.82 99 | 106.21 89 | 66.69 88 | 171.29 99 |
|
| RPMNet | | | 858.01 130 | 961.99 136 | 736.69 117 | 550.05 115 | 1120.24 143 | 1212.05 145 | 463.05 101 | 485.90 118 | 550.05 145 | 580.05 133 | 890.05 166 | 559.05 113 | 1485.90 147 | 1185.90 145 | 1085.90 150 | 985.90 132 |
|
| FA-MVS(training) | | | 203.85 99 | 180.15 99 | 231.50 99 | 222.82 101 | 259.22 104 | 245.99 103 | 478.61 102 | 172.32 102 | 82.03 104 | 130.35 100 | 72.14 103 | 221.74 101 | 190.35 100 | 197.39 100 | 137.78 103 | 239.26 100 |
|
| SixPastTwentyTwo | | | 210.90 100 | 189.75 100 | 235.58 100 | 225.41 102 | 284.88 105 | 267.17 104 | 485.88 103 | 164.28 101 | 76.51 103 | 137.62 101 | 76.69 104 | 214.49 100 | 206.28 101 | 208.00 101 | 144.02 104 | 250.52 101 |
|
| SR-MVS | | | | | | 610.10 118 | | | 610.10 104 | | | | 610.10 150 | | | | | |
|
| PatchT | | | 878.42 131 | 785.05 131 | 987.36 131 | 1050.05 142 | 922.05 133 | 1111.05 141 | 677.05 105 | 950.05 138 | 1285.90 181 | 750.05 140 | 640.05 152 | 850.05 128 | 950.05 133 | 950.05 133 | 950.05 143 | 333.05 102 |
|
| GG-mvs-BLEND | | | 557.53 112 | 503.49 110 | 620.58 112 | 485.90 109 | 370.41 106 | 267.30 105 | 710.53 106 | 454.42 113 | 785.72 153 | 491.23 126 | 326.12 135 | 881.92 130 | 538.27 115 | 650.05 124 | 592.08 132 | 693.94 112 |
|
| gm-plane-assit | | | 551.84 109 | 503.49 110 | 608.24 111 | 411.90 105 | 370.41 106 | 267.30 105 | 710.53 106 | 454.42 113 | 785.72 153 | 491.23 126 | 326.12 135 | 881.92 130 | 538.27 115 | 650.05 124 | 592.08 132 | 693.94 112 |
|
| gg-mvs-nofinetune | | | 557.53 112 | 503.49 110 | 620.58 112 | 485.90 109 | 370.41 106 | 267.30 105 | 710.53 106 | 454.42 113 | 785.72 153 | 491.23 126 | 326.12 135 | 881.92 130 | 538.27 115 | 650.05 124 | 592.08 132 | 693.94 112 |
|
| CR-MVSNet | | | 557.53 112 | 503.49 110 | 620.58 112 | 485.90 109 | 370.41 106 | 267.30 105 | 710.53 106 | 454.42 113 | 785.72 153 | 491.23 126 | 326.12 135 | 881.92 130 | 538.27 115 | 650.05 124 | 592.08 132 | 693.94 112 |
|
| RPSCF | | | 376.53 102 | 341.80 102 | 417.05 103 | 418.60 106 | 457.01 111 | 467.46 110 | 825.25 110 | 336.12 105 | 159.32 109 | 260.40 105 | 151.13 110 | 386.94 104 | 364.25 104 | 352.10 103 | 244.72 106 | 471.62 104 |
|
| WB-MVS | | | 316.93 101 | 277.98 101 | 362.37 102 | 386.49 104 | 371.32 110 | 360.90 109 | 844.52 111 | 232.58 103 | 102.36 105 | 215.57 103 | 104.13 105 | 287.33 103 | 336.96 103 | 318.49 102 | 192.62 105 | 366.78 103 |
|
| EG-PatchMatch MVS | | | 402.98 103 | 364.36 103 | 448.05 104 | 435.50 107 | 473.00 112 | 489.60 111 | 910.20 112 | 338.60 106 | 127.30 106 | 205.10 102 | 123.50 108 | 434.60 105 | 450.70 108 | 447.70 106 | 291.10 108 | 511.90 105 |
|
| MS-PatchMatch | | | 438.85 104 | 388.71 104 | 497.33 105 | 479.00 108 | 527.00 113 | 558.00 114 | 988.00 113 | 379.00 108 | 174.00 111 | 278.00 107 | 162.00 111 | 494.00 109 | 418.00 105 | 412.00 104 | 291.00 107 | 545.00 108 |
|
| DELS-MVS | | | 458.84 107 | 423.31 107 | 500.30 106 | 511.99 112 | 616.59 115 | 578.86 115 | 991.10 114 | 355.79 107 | 158.99 108 | 319.09 109 | 190.62 114 | 453.64 108 | 437.73 107 | 439.52 105 | 307.20 109 | 603.81 109 |
| Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023 |
| EPMVS | | | 999.00 134 | 999.00 137 | 999.00 132 | 999.00 135 | 999.00 136 | 999.00 134 | 999.00 115 | 999.00 140 | 999.00 163 | 999.00 147 | 999.00 172 | 999.00 136 | 999.00 136 | 999.00 136 | 999.00 144 | 999.00 133 |
|
| uanet_test | | | 1000.00 135 | 1000.00 139 | 1000.00 133 | 1000.00 137 | 1000.00 138 | 1000.00 136 | 1000.00 116 | 1000.00 142 | 1000.00 165 | 1000.00 149 | 1000.00 174 | 1000.00 138 | 1000.00 138 | 1000.00 138 | 1000.00 146 | 1000.00 135 |
|
| sosnet | | | 1000.00 135 | 1000.00 139 | 1000.00 133 | 1000.00 137 | 1000.00 138 | 1000.00 136 | 1000.00 116 | 1000.00 142 | 1000.00 165 | 1000.00 149 | 1000.00 174 | 1000.00 138 | 1000.00 138 | 1000.00 138 | 1000.00 146 | 1000.00 135 |
|
| USDC | | | 1000.00 135 | 1000.00 139 | 1000.00 133 | 1000.00 137 | 1000.00 138 | 1000.00 136 | 1000.00 116 | 1000.00 142 | 1000.00 165 | 1000.00 149 | 1000.00 174 | 1000.00 138 | 1000.00 138 | 1000.00 138 | 1000.00 146 | 1000.00 135 |
|
| TinyColmap | | | 1000.00 135 | 1000.00 139 | 1000.00 133 | 1000.00 137 | 1000.00 138 | 1000.00 136 | 1000.00 116 | 1000.00 142 | 1000.00 165 | 1000.00 149 | 1000.00 174 | 1000.00 138 | 1000.00 138 | 1000.00 138 | 1000.00 146 | 1000.00 135 |
|
| ADS-MVSNet | | | 452.36 105 | 406.02 105 | 506.42 108 | 534.76 114 | 628.22 116 | 552.79 113 | 1009.99 120 | 333.98 104 | 149.26 107 | 246.67 104 | 149.01 109 | 447.03 107 | 465.35 109 | 501.18 109 | 344.69 111 | 517.75 106 |
|
| PatchmatchNet |  | | 452.63 106 | 410.20 106 | 502.13 107 | 520.70 113 | 614.40 114 | 546.00 112 | 1018.80 121 | 379.00 108 | 167.50 110 | 277.10 106 | 169.40 112 | 437.10 106 | 437.10 106 | 457.50 107 | 322.70 110 | 536.90 107 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| IB-MVS | | 750.90 3 | 552.99 110 | 511.38 114 | 601.53 109 | 606.02 117 | 735.75 121 | 688.75 119 | 1183.86 122 | 436.09 112 | 210.63 117 | 397.40 113 | 233.85 119 | 551.05 112 | 521.77 112 | 533.78 112 | 368.88 112 | 721.05 117 |
| Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021 |
| dps | | | 534.60 108 | 472.40 108 | 607.16 110 | 690.38 122 | 718.85 119 | 636.03 116 | 1231.66 123 | 422.74 110 | 198.65 114 | 325.68 110 | 194.97 115 | 512.90 111 | 509.81 111 | 513.65 110 | 373.33 113 | 621.11 110 |
|
| Gipuma |  | | 587.77 115 | 529.57 115 | 655.67 116 | 637.00 120 | 733.00 120 | 749.00 121 | 1245.00 124 | 525.00 120 | 269.00 127 | 445.00 122 | 253.00 121 | 637.00 117 | 525.00 113 | 525.00 111 | 397.00 115 | 701.00 116 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| IterMVS | | | 554.60 111 | 488.63 109 | 631.57 115 | 636.90 119 | 700.80 117 | 674.70 118 | 1271.10 125 | 430.50 111 | 207.10 116 | 370.50 112 | 202.70 117 | 611.80 115 | 534.20 114 | 545.30 113 | 387.80 114 | 636.40 111 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| Patchmtry | | | | | | | 1825.90 151 | 885.90 132 | 1405.90 126 | | 1285.90 181 | | | | | | | |
|
| MVS_Test | | | 654.54 116 | 583.51 117 | 737.40 118 | 721.80 124 | 822.10 123 | 808.60 123 | 1494.00 127 | 542.20 122 | 259.90 120 | 441.60 115 | 257.70 123 | 689.10 119 | 620.80 120 | 617.70 115 | 451.00 120 | 782.50 119 |
|
| casdiffmvs |  | | 654.54 116 | 583.51 117 | 737.40 118 | 721.80 124 | 822.10 123 | 808.60 123 | 1494.00 127 | 542.20 122 | 259.90 120 | 441.60 115 | 257.70 123 | 689.10 119 | 620.80 120 | 617.70 115 | 451.00 120 | 782.50 119 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| diffmvs |  | | 654.54 116 | 583.51 117 | 737.40 118 | 721.80 124 | 822.10 123 | 808.60 123 | 1494.00 127 | 542.20 122 | 259.90 120 | 441.60 115 | 257.70 123 | 689.10 119 | 620.80 120 | 617.70 115 | 451.00 120 | 782.50 119 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| baseline2 | | | 654.54 116 | 583.51 117 | 737.40 118 | 721.80 124 | 822.10 123 | 808.60 123 | 1494.00 127 | 542.20 122 | 259.90 120 | 441.60 115 | 257.70 123 | 689.10 119 | 620.80 120 | 617.70 115 | 451.00 120 | 782.50 119 |
|
| baseline1 | | | 654.54 116 | 583.51 117 | 737.40 118 | 721.80 124 | 822.10 123 | 808.60 123 | 1494.00 127 | 542.20 122 | 259.90 120 | 441.60 115 | 257.70 123 | 689.10 119 | 620.80 120 | 617.70 115 | 451.00 120 | 782.50 119 |
|
| casdiffmvs_mvg |  | | 654.54 116 | 583.51 117 | 737.40 118 | 721.80 124 | 822.10 123 | 808.60 123 | 1494.00 127 | 542.20 122 | 259.90 120 | 441.60 115 | 257.70 123 | 689.10 119 | 620.80 120 | 617.70 115 | 451.00 120 | 782.50 119 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| baseline | | | 654.54 116 | 583.51 117 | 737.40 118 | 721.80 124 | 822.10 123 | 808.60 123 | 1494.00 127 | 542.20 122 | 259.90 120 | 441.60 115 | 257.70 123 | 689.10 119 | 620.80 120 | 617.70 115 | 451.00 120 | 782.50 119 |
|
| IterMVS-LS | | | 714.97 126 | 638.00 127 | 804.77 128 | 793.60 132 | 914.20 132 | 886.50 133 | 1612.70 134 | 588.30 129 | 285.30 128 | 491.20 125 | 278.40 131 | 759.20 126 | 677.40 128 | 681.30 129 | 491.30 127 | 835.20 126 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| ACMH+ | | 702.88 1 | 670.82 124 | 589.81 124 | 765.33 125 | 662.52 121 | 701.42 118 | 795.24 122 | 1698.33 135 | 598.81 130 | 226.55 118 | 403.02 114 | 187.13 113 | 786.82 127 | 724.80 130 | 646.56 123 | 422.52 118 | 866.95 127 |
|
| new-patchmatchnet | | | 712.65 125 | 632.59 125 | 806.05 129 | 787.79 131 | 936.25 134 | 882.47 131 | 1795.72 136 | 528.60 121 | 244.29 119 | 471.90 123 | 257.36 122 | 681.47 118 | 705.16 129 | 659.05 128 | 444.55 119 | 869.82 128 |
|
| CSCG | | | 727.26 127 | 663.25 128 | 801.94 127 | 590.65 116 | 811.25 122 | 854.12 130 | 1805.32 137 | 816.43 135 | 388.25 133 | 612.42 134 | 345.37 141 | 621.61 116 | 507.46 110 | 471.55 108 | 551.65 130 | 1078.31 139 |
|
| MVSTER | | | 834.63 128 | 737.03 130 | 948.49 130 | 988.86 134 | 1140.51 145 | 1129.34 143 | 1832.80 138 | 682.42 131 | 319.01 129 | 550.98 132 | 311.35 134 | 872.51 129 | 763.95 131 | 757.83 130 | 548.41 129 | 952.20 130 |
|
| pmnet_mix02 | | | 659.48 123 | 547.83 116 | 789.74 126 | 720.05 123 | 846.87 130 | 740.59 120 | 2153.63 139 | 456.15 117 | 191.24 112 | 336.49 111 | 200.39 116 | 511.90 110 | 608.74 119 | 634.29 122 | 421.05 117 | 751.91 118 |
|
| ACMH | | 935.68 4 | 948.23 132 | 857.00 132 | 1054.67 137 | 946.00 133 | 970.00 135 | 1125.00 142 | 2467.00 140 | 823.00 136 | 330.00 131 | 622.00 135 | 211.00 118 | 891.00 134 | 970.00 135 | 1061.00 142 | 569.00 131 | 1342.00 141 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MSLP-MVS++ | | | 993.91 133 | 732.21 129 | 1299.24 142 | 1631.22 149 | 1345.26 147 | 1480.05 148 | 2524.20 141 | 735.65 132 | 463.57 143 | 499.89 130 | 302.78 132 | 1292.66 144 | 675.99 127 | 612.79 114 | 403.71 116 | 953.11 131 |
|
| PMVS |  | 743.55 2 | 836.66 129 | 637.90 126 | 1068.55 138 | 1306.50 146 | 875.12 131 | 1166.70 144 | 2629.00 142 | 512.24 119 | 196.22 113 | 282.69 108 | 237.15 120 | 597.87 114 | 842.47 132 | 765.54 131 | 514.99 128 | 950.09 129 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| MVS_111021_LR | | | 1055.24 140 | 916.36 134 | 1217.27 140 | 1129.93 144 | 1268.26 146 | 1313.88 147 | 2635.76 143 | 923.19 137 | 396.92 137 | 704.88 138 | 327.66 139 | 1136.32 142 | 965.38 134 | 946.95 132 | 690.83 140 | 1278.20 140 |
|
| ACMP | | 1170.86 6 | 1091.37 141 | 943.23 135 | 1264.21 141 | 1112.10 143 | 1138.94 144 | 1276.90 146 | 2675.36 144 | 989.62 139 | 426.15 141 | 742.77 139 | 349.09 143 | 1454.51 148 | 1047.36 142 | 969.90 134 | 640.22 136 | 1364.94 143 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| ACMM | | 1129.18 5 | 1047.56 139 | 912.90 133 | 1204.67 139 | 1040.21 141 | 1016.71 142 | 1105.32 140 | 2918.67 145 | 813.91 134 | 327.22 130 | 665.34 136 | 267.72 130 | 1192.58 143 | 1091.35 143 | 991.88 135 | 643.99 137 | 1543.40 148 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| TSAR-MVS + GP. | | | 1239.27 142 | 1094.74 145 | 1407.89 143 | 1220.99 145 | 1845.47 152 | 1680.98 151 | 3191.81 146 | 1098.41 146 | 362.98 132 | 679.12 137 | 339.31 140 | 1323.06 145 | 1173.24 146 | 1093.83 143 | 667.49 138 | 1433.78 144 |
|
| COLMAP_ROB |  | 3798.28 14 | 2690.62 163 | 2704.29 170 | 2674.67 157 | 3138.00 165 | 3522.00 171 | 3826.00 175 | 3219.00 147 | 2702.00 171 | 1138.00 179 | 2260.00 178 | 1212.00 183 | 2968.00 167 | 2936.00 174 | 2571.00 167 | 1759.00 175 | 3727.00 171 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| ACMMPR | | | 1265.65 143 | 1083.59 144 | 1478.06 145 | 1441.06 148 | 1438.61 150 | 1540.68 150 | 3284.05 148 | 1219.68 148 | 458.81 142 | 803.22 142 | 346.91 142 | 1421.66 147 | 1126.11 145 | 1150.51 144 | 722.08 141 | 1500.09 146 |
|
| DeepC-MVS_fast | | 2081.98 8 | 1311.87 144 | 1172.50 146 | 1474.47 144 | 1411.78 147 | 1397.23 149 | 1519.03 149 | 3401.40 149 | 1201.29 147 | 417.90 139 | 801.95 141 | 976.25 171 | 1409.37 146 | 1114.52 144 | 1201.12 146 | 687.33 139 | 1515.14 147 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| MVS-HIRNet | | | 1975.98 147 | 1797.02 149 | 2184.76 148 | 2111.07 152 | 2443.03 156 | 2503.43 155 | 4063.71 150 | 1684.46 156 | 711.34 151 | 1456.05 159 | 848.70 164 | 2396.26 159 | 1900.93 149 | 1915.01 150 | 1322.75 157 | 2330.99 149 |
|
| PLC |  | 4785.50 15 | 3275.54 172 | 3030.86 174 | 3561.00 169 | 4093.00 178 | 4596.00 177 | 5174.00 184 | 4267.00 151 | 3570.00 179 | 1495.00 185 | 2940.00 181 | 1594.00 186 | 3947.00 175 | 3817.00 179 | 3343.00 178 | 2390.00 179 | 1356.00 142 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| CMPMVS |  | 2507.20 10 | 2083.60 148 | 1983.13 152 | 2200.81 149 | 2582.70 160 | 3097.30 163 | 2332.10 154 | 4364.50 152 | 1390.00 149 | 653.68 149 | 997.75 146 | 742.65 159 | 1880.20 149 | 2298.80 160 | 2413.60 164 | 1391.70 160 | 2941.80 157 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| FPMVS | | | 1356.65 145 | 1072.60 143 | 1688.04 146 | 1840.79 150 | 1397.01 148 | 1793.24 152 | 4397.86 153 | 804.66 133 | 408.78 138 | 538.65 131 | 407.36 144 | 894.84 135 | 1587.73 148 | 1286.38 147 | 792.73 142 | 1486.39 145 |
|
| OpenMVS |  | 2049.89 7 | 1895.92 146 | 1721.29 147 | 2099.67 147 | 2064.00 151 | 2419.00 155 | 2138.00 153 | 4572.00 154 | 1541.00 153 | 548.00 144 | 937.00 144 | 580.00 149 | 1983.00 150 | 1971.00 154 | 1993.00 152 | 1293.00 156 | 2608.00 152 |
|
| AdaColmap |  | | 2288.90 153 | 2080.73 157 | 2531.77 153 | 2485.98 159 | 2757.87 160 | 2974.47 162 | 4914.62 155 | 2255.54 164 | 804.63 157 | 1611.14 163 | 842.30 163 | 2657.83 162 | 2056.92 155 | 1960.62 151 | 1353.09 159 | 3080.73 158 |
|
| tpmrst | | | 2688.71 162 | 2604.46 163 | 2787.00 161 | 2472.96 158 | 3190.36 164 | 3313.69 166 | 5003.06 156 | 1837.26 157 | 1097.38 175 | 1721.89 168 | 1012.20 179 | 2415.09 160 | 2970.27 175 | 2736.80 171 | 2419.79 180 | 4762.44 177 |
|
| DeepPCF-MVS | | 3033.31 11 | 2362.79 156 | 2183.15 158 | 2572.38 154 | 2349.28 157 | 2383.16 154 | 2740.92 161 | 5212.97 157 | 2043.02 160 | 751.44 152 | 1466.47 160 | 1327.42 184 | 2904.33 164 | 2573.45 167 | 2227.77 157 | 1475.33 161 | 3260.73 161 |
|
| CHOSEN 280x420 | | | 2225.10 150 | 1992.66 153 | 2496.28 150 | 2192.10 153 | 2641.81 157 | 2621.41 157 | 5345.34 158 | 2116.46 161 | 1002.26 169 | 1683.84 164 | 837.43 160 | 2338.65 153 | 1920.94 151 | 2020.28 153 | 1477.92 162 | 2727.86 153 |
|
| CHOSEN 1792x2688 | | | 2225.10 150 | 1992.66 153 | 2496.28 150 | 2192.10 153 | 2641.81 157 | 2621.41 157 | 5345.34 158 | 2116.46 161 | 1002.26 169 | 1683.84 164 | 837.43 160 | 2338.65 153 | 1920.94 151 | 2020.28 153 | 1477.92 162 | 2727.86 153 |
|
| HyFIR lowres test | | | 2225.10 150 | 1992.66 153 | 2496.28 150 | 2192.10 153 | 2641.81 157 | 2621.41 157 | 5345.34 158 | 2116.46 161 | 1002.26 169 | 1683.84 164 | 837.43 160 | 2338.65 153 | 1920.94 151 | 2020.28 153 | 1477.92 162 | 2727.86 153 |
|
| tpm cat1 | | | 2652.13 159 | 2606.66 164 | 2705.18 158 | 3151.86 166 | 6902.39 184 | 3612.17 170 | 5463.78 161 | 1457.76 150 | 391.31 134 | 1358.61 156 | 446.44 145 | 2360.09 156 | 2296.48 157 | 2290.90 159 | 1251.84 152 | 3494.04 164 |
|
| CostFormer | | | 2652.13 159 | 2606.66 164 | 2705.18 158 | 3151.86 166 | 6902.39 184 | 3612.17 170 | 5463.78 161 | 1457.76 150 | 391.31 134 | 1358.61 156 | 446.44 145 | 2360.09 156 | 2296.48 157 | 2290.90 159 | 1251.84 152 | 3494.04 164 |
|
| tpm | | | 2652.13 159 | 2606.66 164 | 2705.18 158 | 3151.86 166 | 6902.39 184 | 3612.17 170 | 5463.78 161 | 1457.76 150 | 391.31 134 | 1358.61 156 | 446.44 145 | 2360.09 156 | 2296.48 157 | 2290.90 159 | 1251.84 152 | 3494.04 164 |
|
| 3Dnovator | | 2220.89 9 | 2303.77 154 | 2037.00 156 | 2615.00 156 | 2617.00 161 | 2967.00 162 | 2616.00 156 | 5882.00 164 | 1928.00 159 | 589.00 146 | 907.00 143 | 528.00 148 | 2443.00 161 | 2370.00 162 | 2392.00 163 | 1543.00 166 | 3167.00 159 |
|
| SD-MVS | | | 2324.36 155 | 1910.97 150 | 2806.65 162 | 2945.31 164 | 3305.03 168 | 3267.51 165 | 5962.25 165 | 1896.37 158 | 848.15 158 | 1224.25 155 | 661.55 153 | 2707.30 163 | 1913.40 150 | 1871.41 149 | 1109.38 151 | 2504.79 151 |
| Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
| PCF-MVS | | 3738.24 13 | 2129.60 149 | 1746.89 148 | 2576.10 155 | 2258.22 156 | 2263.67 153 | 2650.06 160 | 6361.78 166 | 1676.15 155 | 695.66 150 | 1209.77 154 | 737.88 156 | 2237.28 151 | 2083.02 156 | 1835.31 148 | 1253.58 155 | 2422.45 150 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| TAPA-MVS | | 5463.68 16 | 2764.21 164 | 2434.28 160 | 3149.14 165 | 3645.15 174 | 3257.60 167 | 3452.71 169 | 6526.32 167 | 2591.85 169 | 651.36 148 | 1964.77 176 | 947.44 169 | 2924.41 165 | 2523.36 165 | 2452.68 165 | 1694.86 172 | 3302.28 162 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| SteuartSystems-ACMMP | | | 2615.00 158 | 2242.57 159 | 3049.50 164 | 2828.00 163 | 2801.00 161 | 3323.00 167 | 6648.00 168 | 2491.00 166 | 1023.00 172 | 1605.00 162 | 697.00 154 | 2926.00 166 | 2502.00 164 | 2279.00 158 | 1549.00 167 | 3323.00 163 |
| Skip Steuart: Steuart Systems R&D Blog. |
| MSP-MVS | | | 3241.28 170 | 2825.26 172 | 3726.65 172 | 3945.31 176 | 4305.03 175 | 4267.51 179 | 6962.25 169 | 2896.37 175 | 1068.15 174 | 1824.25 171 | 1061.55 181 | 4307.30 178 | 3013.40 176 | 3171.41 176 | 1809.38 176 | 3504.79 167 |
| Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
| Vis-MVSNet |  | | 2390.77 157 | 1976.57 151 | 2874.00 163 | 2644.00 162 | 3248.00 166 | 3040.00 163 | 7371.00 170 | 1627.00 154 | 421.00 140 | 1200.00 153 | 622.00 151 | 2251.00 152 | 2326.00 161 | 2052.00 156 | 1517.00 165 | 2761.00 156 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| 3Dnovator+ | | 3173.67 12 | 2938.77 165 | 2519.43 161 | 3428.00 166 | 3256.00 169 | 3708.00 172 | 3443.00 168 | 7516.00 171 | 2525.00 167 | 1121.00 176 | 972.00 145 | 925.00 168 | 3192.00 168 | 2899.00 170 | 2897.00 174 | 2040.00 177 | 3710.00 170 |
|
| MVS_111021_HR | | | 3192.50 169 | 2773.91 171 | 3680.86 170 | 3515.58 171 | 3815.81 173 | 4020.82 176 | 7766.11 172 | 2775.23 174 | 1300.96 184 | 2221.19 177 | 1117.25 182 | 3420.01 172 | 2873.98 169 | 2835.60 172 | 2061.69 178 | 3778.31 172 |
|
| TSAR-MVS + MP. | | | 4216.58 176 | 4674.68 178 | 3682.13 171 | 3752.63 175 | 4315.48 176 | 4264.77 178 | 7782.51 173 | 2583.81 168 | 1125.68 177 | 16722.30 189 | 882.60 165 | 3589.10 174 | 2523.80 166 | 2486.45 166 | 1578.08 168 | 3208.34 160 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| DPM-MVS | | | 3051.54 166 | 2661.57 167 | 3506.50 167 | 3532.00 172 | 3332.00 169 | 3744.00 173 | 7839.00 174 | 2772.00 172 | 985.00 161 | 1919.00 174 | 738.00 157 | 3319.00 169 | 2901.00 171 | 2715.00 169 | 1620.00 170 | 4254.00 174 |
|
| OPM-MVS | | | 3051.54 166 | 2661.57 167 | 3506.50 167 | 3532.00 172 | 3332.00 169 | 3744.00 173 | 7839.00 174 | 2772.00 172 | 985.00 161 | 1919.00 174 | 738.00 157 | 3319.00 169 | 2901.00 171 | 2715.00 169 | 1620.00 170 | 4254.00 174 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| MAR-MVS | | | 3961.62 174 | 3726.55 176 | 4235.86 175 | 4107.62 179 | 6522.83 183 | 4862.93 182 | 7956.64 176 | 3380.98 178 | 1665.13 186 | 3231.54 182 | 1650.34 187 | 4357.29 179 | 3198.61 178 | 3209.42 177 | 2465.52 181 | 4892.15 178 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| TSAR-MVS + ACMM | | | 3184.92 168 | 2679.45 169 | 3774.64 173 | 3302.51 170 | 4168.07 174 | 4256.74 177 | 8947.31 177 | 2634.53 170 | 1026.25 173 | 1723.72 169 | 1043.87 180 | 3387.29 171 | 2794.29 168 | 2687.41 168 | 1727.73 174 | 3704.25 169 |
|
| SED-MVS | | | 3539.47 173 | 2909.05 173 | 4274.95 176 | 4528.93 180 | 4986.51 179 | 5003.31 183 | 8985.31 178 | 2904.53 176 | 1294.24 183 | 1839.12 172 | 1003.69 178 | 4135.17 176 | 2926.32 173 | 2897.04 175 | 1702.75 173 | 3806.13 173 |
|
| OMC-MVS | | | 4439.92 177 | 3906.78 177 | 5061.92 179 | 4748.70 182 | 5679.38 180 | 5855.03 187 | 9923.00 179 | 4023.36 182 | 1740.95 187 | 1693.78 167 | 1693.78 188 | 4658.45 180 | 4254.77 180 | 4135.74 180 | 3445.36 183 | 5866.63 180 |
|
| ACMMP |  | | 9999.00 183 | 9999.00 184 | 9999.00 184 | 9999.00 189 | 9999.00 190 | 9999.00 191 | 9999.00 180 | 9999.00 186 | 9999.00 193 | 9999.00 186 | 9999.00 194 | 9999.00 186 | 9999.00 186 | 9999.00 185 | 9999.00 188 | 9999.00 185 |
| Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence |
| DVP-MVS |  | | 3258.34 171 | 2529.80 162 | 4108.31 174 | 4005.62 177 | 4693.14 178 | 4737.88 181 | 10195.40 181 | 2408.38 165 | 941.44 159 | 1505.82 161 | 734.32 155 | 3438.27 173 | 2449.15 163 | 2386.04 162 | 1331.25 158 | 3531.75 168 |
| Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025 |
| DeepC-MVS | | 5581.15 17 | 4824.92 178 | 5020.53 179 | 4596.70 177 | 4714.52 181 | 3205.14 165 | 3108.50 164 | 10234.20 182 | 3823.34 181 | 1885.23 188 | 9002.42 185 | 2045.34 191 | 4715.23 181 | 7652.65 183 | 3993.41 179 | 2922.51 182 | 5421.41 179 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| ME-MVS | | | 8615.01 182 | 9333.66 183 | 7776.59 181 | 4896.26 184 | 6250.00 182 | 5772.11 186 | 11138.80 183 | 21344.80 188 | 3151.39 191 | 15014.00 188 | 1880.82 189 | 10959.00 187 | 8493.00 184 | 6381.00 182 | 10742.00 189 | 5972.00 181 |
|
| DVP-MVS++ | | | 3961.71 175 | 3092.38 175 | 4975.92 178 | 4850.81 183 | 5691.32 181 | 5760.96 185 | 12294.80 184 | 2980.85 177 | 1135.72 178 | 1840.86 173 | 949.63 170 | 4197.95 177 | 3019.10 177 | 2873.21 173 | 1615.27 169 | 4291.72 176 |
|
| TSAR-MVS + COLMAP | | | 6088.23 179 | 5315.97 180 | 6989.21 180 | 6522.51 185 | 8025.15 187 | 7938.31 188 | 15276.20 185 | 5401.97 184 | 1914.31 189 | 3802.65 183 | 1979.48 190 | 6704.11 183 | 5217.07 181 | 5137.16 181 | 3579.82 184 | 7648.29 182 |
|
| CLD-MVS | | | 6986.85 180 | 6222.57 181 | 7878.50 182 | 7707.00 186 | 8884.00 188 | 9025.00 189 | 15607.00 186 | 6148.00 185 | 2571.00 190 | 4822.00 184 | 2082.00 192 | 7875.00 185 | 6389.00 182 | 6449.00 183 | 4486.00 185 | 8784.00 184 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LS3D | | | 7481.83 181 | 6596.02 182 | 8515.28 183 | 9871.71 187 | 9844.03 189 | 9225.16 190 | 18308.40 187 | 5364.90 183 | 1267.41 180 | 2381.61 179 | 1512.79 185 | 7225.72 184 | 8875.69 185 | 9516.28 184 | 5193.26 186 | 8676.83 183 |
|
| CNLPA | | | 17763.08 185 | 15907.71 186 | 19927.67 186 | 19334.00 191 | 22387.00 192 | 22896.00 192 | 38668.00 188 | 15772.00 187 | 7632.00 192 | 13229.00 187 | 7123.00 193 | 19334.00 188 | 15773.00 187 | 15700.00 186 | 11702.00 190 | 21370.00 187 |
|
| MSDG | | | 31705.85 186 | 29167.57 188 | 34667.17 187 | 44079.00 192 | 28314.00 194 | 44778.00 194 | 43648.00 189 | 31045.00 190 | 14849.00 194 | 26179.00 190 | 13752.00 196 | 38088.00 190 | 30859.00 190 | 30835.00 189 | 22561.00 192 | 43189.00 189 |
|
| MVE |  | 11086.50 18 | 13278.69 184 | 12303.57 185 | 14416.33 185 | 9890.00 188 | 17107.00 191 | 4634.00 180 | 59884.00 190 | 3666.00 180 | 966.00 160 | 1792.00 170 | 896.00 167 | 5680.00 182 | 20677.00 189 | 23030.00 188 | 5444.00 187 | 18957.00 186 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| PHI-MVS | | | 99999.00 188 | 99999.00 189 | 99999.00 189 | 99999.00 193 | 99999.00 195 | 99999.00 195 | 99999.00 191 | 99999.00 191 | 99999.00 196 | 99999.00 191 | 99999.00 197 | 99999.00 191 | 99999.00 191 | 99999.00 190 | 99999.00 193 | 99999.00 190 |
|
| LTVRE_ROB | | 38377.89 19 | 49656.08 187 | 18936.71 187 | 85495.33 188 | 306852.00 194 | 22526.00 193 | 29206.00 193 | 112098.00 192 | 30022.00 189 | 17348.00 195 | 2824.00 180 | 11239.00 195 | 29457.00 189 | 20569.00 188 | 19941.00 187 | 18011.00 191 | 25436.00 188 |
| Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016 |
| MGCFI-Net | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| sasdasda | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| dmvs_re | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| test2506 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| test1111 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| ECVR-MVS |  | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| UniMVSNet_ETH3D | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| thisisatest0530 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| Anonymous202405211 | | | | 10000000.00 190 | | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| DCV-MVSNet | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| tttt0517 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| thisisatest0515 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| DPE-MVS |  | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| tfpnnormal | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| tfpn200view9 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| IterMVS-SCA-FT | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| pmmvs6 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| pmmvs5 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| Anonymous20231211 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| pmmvs-eth3d | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| Anonymous20231206 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| SCA | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| canonicalmvs | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| anonymousdsp | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| FC-MVSNet-train | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| UA-Net | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| FC-MVSNet-test | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| sosnet-low-res | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| DI_MVS_pp | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| HPM-MVS++ |  | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| pm-mvs1 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| APDe-MVS |  | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| pmmvs4 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| test-LLR | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| TESTMET0.1,1 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| test-mter | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| testgi | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| test20.03 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| thres600view7 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| MP-MVS |  | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| thres400 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| test123 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| thres200 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| test0.0.03 1 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| pmmvs3 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| EMVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| E-PMN | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| PGM-MVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| MCST-MVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| PMMVS2 | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| PM-MVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| LGP-MVS_train | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| EPNet_dtu | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CNVR-MVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| NCCC | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| CP-MVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| CPTT-MVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| HQP-MVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| IS_MVSNet | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| PatchMatch-RL | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| TDRefinement | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| EPP-MVSNet | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| PMMVS | | | 10000000.00 189 | 10000000.00 190 | 10000000.00 190 | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | 10000000.00 193 | 10000000.00 192 | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | 10000000.00 192 | 10000000.00 191 | 10000000.00 194 | 10000000.00 191 |
|
| APD-MVS |  | | 1000000000.00 256 | 1000000000.00 258 | 1000000000.00 257 | 1000000000.00 265 | 1000000000.00 265 | 1000000000.00 266 | 1000000000.00 261 | 1000000000.00 261 | 1000000000.00 266 | 1000000000.00 261 | 1000000000.00 268 | 1000000000.00 261 | 1000000000.00 260 | 1000000000.00 259 | 1000000000.00 263 | 1000000000.00 260 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| TPM-MVS | | | | | | 10000000.00 195 | 10000000.00 196 | 10000000.00 196 | | | 10000000.00 197 | 10000000.00 192 | 10000000.00 198 | 10000000.00 192 | | | 10000000.00 194 | 10000000.00 191 |
| Ray Leroy Khuboni and Hongjun Xu: Textureless Resilient Propagation Matching in Multiple View Stereosis (TPM-MVS). SATNAC 2025 |
| RE-MVS-def | | | | | | | | | | | 610.10 147 | | | | | | | |
|
| 9.14 | | | | | | | | | | | | | 0.00 1 | | | | | |
|
| our_test_3 | | | | | | 9999.00 189 | 99.00 89 | 99.00 88 | | | | | | | | | | |
|
| ambc | | | | 999.00 137 | | 999.00 135 | 999.00 136 | 999.00 134 | | 999.00 140 | 999.00 163 | 999.00 147 | 999.00 172 | 999.00 136 | 999.00 136 | 999.00 136 | 999.00 144 | 999.00 133 |
|
| MTAPA | | | | | | | | | | | 41.98 88 | | 28.43 84 | | | | | |
|
| MTMP | | | | | | | | | | | 10000000.00 197 | | 31.71 86 | | | | | |
|
| Patchmatch-RL test | | | | | | | | 10000000.00 196 | | | | | | | | | | |
|
| XVS | | | | | | 52.20 82 | 52.20 83 | 52.20 83 | | | 52.20 90 | | 52.20 100 | | | | 52.20 85 | |
|
| X-MVStestdata | | | | | | 52.20 82 | 52.20 83 | 52.20 83 | | | 52.20 90 | | 52.20 100 | | | | 52.20 85 | |
|
| mPP-MVS | | | | | | 10000000.00 195 | | | | | | | 10000000.00 198 | | | | | |
|
| NP-MVS | | | | | | | | | | 10000000.00 192 | | | | | | | | |
|