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 |
|
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 |
|
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 |
|
abl_6 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v1921920 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v1192 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v1144 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v148 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v748 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v7n | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v1141 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v1neww | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v7new | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v1240 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v18 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v17 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v16 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
divwei89l23v2f112 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v15 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v13 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v12 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v8 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v7 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v6 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v11 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v52 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
V14 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v10 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
V4 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v2v482 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
v1 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
V42 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
V9 | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
GA-MVS | | | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 8 | 0.40 7 | 0.40 7 | 0.40 8 | 0.40 8 |
|
Fast-Effi-MVS+ | | | 0.41 38 | 0.41 38 | 0.41 39 | 0.41 39 | 0.41 39 | 0.41 39 | 0.41 39 | 0.41 39 | 0.41 39 | 0.41 39 | 0.41 39 | 0.41 39 | 0.41 38 | 0.41 38 | 0.41 39 | 0.41 39 |
|
Effi-MVS+ | | | 0.53 39 | 0.53 39 | 0.53 40 | 0.53 40 | 0.53 40 | 0.53 40 | 0.53 40 | 0.53 40 | 0.53 40 | 0.53 40 | 0.53 40 | 0.53 40 | 0.53 39 | 0.53 39 | 0.53 40 | 0.53 40 |
|
CDS-MVSNet | | | 0.88 40 | 0.88 40 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 40 | 0.88 40 | 0.88 41 | 0.88 41 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
TAMVS | | | 0.88 40 | 0.88 40 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 41 | 0.88 40 | 0.88 40 | 0.88 41 | 0.88 41 |
|
DeepMVS_CX | | | | | | | 1.00 43 | 1.00 43 | 1.00 43 | 1.00 43 | 1.00 43 | 1.00 43 | 1.00 43 | 1.00 43 | 1.00 42 | | 1.00 43 | 1.00 43 |
|
MDA-MVSNet-bldmvs | | | 1.20 42 | 1.20 42 | 1.20 43 | 1.20 43 | 1.20 44 | 1.20 44 | 1.20 44 | 1.20 44 | 1.20 44 | 1.20 44 | 1.20 44 | 1.20 44 | 1.20 43 | 1.20 42 | 1.20 44 | 1.20 44 |
|
CVMVSNet | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
EU-MVSNet | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
PS-CasMVS | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
UniMVSNet_NR-MVSNet | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
PEN-MVS | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
TransMVSNet (Re) | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
DTE-MVSNet | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
DU-MVS | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
UniMVSNet (Re) | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
CP-MVSNet | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
WR-MVS_H | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
WR-MVS | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
NR-MVSNet | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
Baseline_NR-MVSNet | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
TranMVSNet+NR-MVSNet | | | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 45 | 1.42 44 | 1.42 43 | 1.42 45 | 1.42 45 |
|
CDPH-MVS | | | 6.66 58 | 6.66 58 | 6.66 59 | 6.66 59 | 6.66 60 | 6.66 60 | 6.66 60 | 6.66 60 | 6.66 60 | 6.66 60 | 6.66 60 | 6.66 60 | 6.66 59 | 6.66 58 | 6.66 60 | 6.66 60 |
|
MDTV_nov1_ep13_2view | | | 9.99 59 | 9.99 59 | 9.99 60 | 9.99 60 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 60 | 9.99 59 | 9.99 61 | 9.99 61 |
|
MDTV_nov1_ep13 | | | 9.99 59 | 9.99 59 | 9.99 60 | 9.99 60 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 61 | 9.99 60 | 9.99 59 | 9.99 61 | 9.99 61 |
|
GBi-Net | | | 39.84 61 | 35.75 61 | 44.63 62 | 43.04 62 | 49.88 63 | 51.06 63 | 86.51 64 | 35.34 63 | 17.20 63 | 29.83 63 | 15.85 63 | 43.43 65 | 35.35 62 | 35.70 61 | 26.51 65 | 48.28 65 |
|
X-MVS | | | 52.20 62 | 52.20 62 | 52.20 63 | 52.20 63 | 52.20 64 | 52.20 64 | 52.20 63 | 52.20 64 | 52.20 73 | 52.20 64 | 52.20 82 | 52.20 66 | 52.20 63 | 52.20 62 | 52.20 66 | 52.20 66 |
|
new_pmnet | | | 75.00 63 | 74.67 63 | 75.39 64 | 85.42 66 | 96.03 68 | 98.77 67 | 173.23 65 | 69.57 65 | 36.19 64 | 56.93 65 | 117.43 86 | 32.98 63 | 85.38 71 | 68.41 63 | 25.74 63 | 28.95 63 |
|
N_pmnet | | | 75.00 63 | 74.67 63 | 75.39 64 | 85.42 66 | 96.03 68 | 98.77 67 | 173.23 65 | 69.57 65 | 36.19 64 | 56.93 65 | 117.43 86 | 32.98 63 | 85.38 71 | 68.41 63 | 25.74 63 | 28.95 63 |
|
CANet | | | 100.44 65 | 93.07 65 | 109.04 66 | 111.90 68 | 131.06 73 | 119.40 70 | 222.42 74 | 80.48 67 | 36.93 66 | 70.80 67 | 40.92 68 | 89.90 67 | 100.59 73 | 101.42 66 | 73.68 71 | 126.25 67 |
|
CANet_DTU | | | 100.44 65 | 93.07 65 | 109.04 66 | 111.90 68 | 131.06 73 | 119.40 70 | 222.42 74 | 80.48 67 | 36.93 66 | 70.80 67 | 40.92 68 | 89.90 67 | 100.59 73 | 101.42 66 | 73.68 71 | 126.25 67 |
|
MVS_0304 | | | 100.44 65 | 93.07 65 | 109.04 66 | 111.90 68 | 131.06 73 | 119.40 70 | 222.42 74 | 80.48 67 | 36.93 66 | 70.80 67 | 40.92 68 | 89.90 67 | 100.59 73 | 101.42 66 | 73.68 71 | 126.25 67 |
|
UGNet | | | 100.44 65 | 93.07 65 | 109.04 66 | 111.90 68 | 131.06 73 | 119.40 70 | 222.42 74 | 80.48 67 | 36.93 66 | 70.80 67 | 40.92 68 | 89.90 67 | 100.59 73 | 101.42 66 | 73.68 71 | 126.25 67 |
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 |
ACMMP_Plus | | | 119.64 76 | 106.58 69 | 134.88 77 | 123.82 72 | 127.44 71 | 145.38 74 | 298.43 82 | 116.16 81 | 43.72 71 | 77.82 71 | 29.30 65 | 131.24 78 | 117.82 80 | 106.21 70 | 66.69 69 | 171.29 81 |
|
zzz-MVS | | | 119.64 76 | 106.58 69 | 134.88 77 | 123.82 72 | 127.44 71 | 145.38 74 | 298.43 82 | 116.16 81 | 43.72 71 | 77.82 71 | 29.30 65 | 131.24 78 | 117.82 80 | 106.21 70 | 66.69 69 | 171.29 81 |
|
PVSNet_Blended_VisFu | | | 129.22 78 | 115.76 78 | 144.92 79 | 140.60 81 | 162.80 84 | 166.50 83 | 281.20 79 | 114.70 71 | 55.50 76 | 96.20 73 | 51.80 79 | 140.60 80 | 114.70 77 | 114.70 79 | 85.10 75 | 155.40 71 |
|
PVSNet_BlendedMVS | | | 129.22 78 | 115.76 78 | 144.92 79 | 140.60 81 | 162.80 84 | 166.50 83 | 281.20 79 | 114.70 71 | 55.50 76 | 96.20 73 | 51.80 79 | 140.60 80 | 114.70 77 | 114.70 79 | 85.10 75 | 155.40 71 |
|
PVSNet_Blended | | | 129.22 78 | 115.76 78 | 144.92 79 | 140.60 81 | 162.80 84 | 166.50 83 | 281.20 79 | 114.70 71 | 55.50 76 | 96.20 73 | 51.80 79 | 140.60 80 | 114.70 77 | 114.70 79 | 85.10 75 | 155.40 71 |
|
FMVSNet5 | | | 116.86 69 | 110.47 71 | 124.32 70 | 131.47 74 | 157.41 77 | 150.67 76 | 199.64 67 | 115.30 74 | 56.61 79 | 97.70 76 | 51.77 72 | 117.26 71 | 77.26 64 | 113.14 72 | 90.25 78 | 160.68 74 |
|
test1 | | | 116.86 69 | 110.47 71 | 124.32 70 | 131.47 74 | 157.41 77 | 150.67 76 | 199.64 67 | 115.30 74 | 56.61 79 | 97.70 76 | 51.77 72 | 117.26 71 | 77.26 64 | 113.14 72 | 90.25 78 | 160.68 74 |
|
FMVSNet3 | | | 116.86 69 | 110.47 71 | 124.32 70 | 131.47 74 | 157.41 77 | 150.67 76 | 199.64 67 | 115.30 74 | 56.61 79 | 97.70 76 | 51.77 72 | 117.26 71 | 77.26 64 | 113.14 72 | 90.25 78 | 160.68 74 |
|
FMVSNet2 | | | 116.86 69 | 110.47 71 | 124.32 70 | 131.47 74 | 157.41 77 | 150.67 76 | 199.64 67 | 115.30 74 | 56.61 79 | 97.70 76 | 51.77 72 | 117.26 71 | 77.26 64 | 113.14 72 | 90.25 78 | 160.68 74 |
|
FMVSNet1 | | | 116.86 69 | 110.47 71 | 124.32 70 | 131.47 74 | 157.41 77 | 150.67 76 | 199.64 67 | 115.30 74 | 56.61 79 | 97.70 76 | 51.77 72 | 117.26 71 | 77.26 64 | 113.14 72 | 90.25 78 | 160.68 74 |
|
MIMVSNet1 | | | 116.86 69 | 110.47 71 | 124.32 70 | 131.47 74 | 157.41 77 | 150.67 76 | 199.64 67 | 115.30 74 | 56.61 79 | 97.70 76 | 51.77 72 | 117.26 71 | 77.26 64 | 113.14 72 | 90.25 78 | 160.68 74 |
|
MIMVSNet | | | 116.86 69 | 110.47 71 | 124.32 70 | 131.47 74 | 157.41 77 | 150.67 76 | 199.64 67 | 115.30 74 | 56.61 79 | 97.70 76 | 51.77 72 | 117.26 71 | 77.26 64 | 113.14 72 | 90.25 78 | 160.68 74 |
|
SixPastTwentyTwo | | | 210.90 81 | 189.75 81 | 235.58 82 | 225.41 84 | 284.88 87 | 267.17 86 | 485.88 85 | 164.28 84 | 76.51 86 | 137.62 83 | 76.69 85 | 214.49 83 | 206.28 82 | 208.00 82 | 144.02 86 | 250.52 83 |
|
EG-PatchMatch MVS | | | 402.98 83 | 364.36 83 | 448.05 85 | 435.50 88 | 473.00 93 | 489.60 93 | 910.20 92 | 338.60 88 | 127.30 87 | 205.10 84 | 123.50 88 | 434.60 87 | 450.70 89 | 447.70 86 | 291.10 89 | 511.90 87 |
|
LP | | | 413.85 84 | 365.67 84 | 470.06 86 | 505.99 93 | 560.16 95 | 484.94 92 | 977.47 93 | 310.10 85 | 140.33 88 | 226.97 85 | 133.09 89 | 397.21 86 | 428.08 86 | 451.30 87 | 314.39 91 | 450.02 85 |
|
ADS-MVSNet | | | 452.36 86 | 406.02 86 | 506.42 90 | 534.76 96 | 628.22 98 | 552.79 95 | 1009.99 100 | 333.98 86 | 149.26 89 | 246.67 86 | 149.01 90 | 447.03 89 | 465.35 90 | 501.18 90 | 344.69 93 | 517.75 88 |
|
RPSCF | | | 376.53 82 | 341.80 82 | 417.05 84 | 418.60 87 | 457.01 92 | 467.46 91 | 825.25 91 | 336.12 87 | 159.32 91 | 260.40 87 | 151.13 91 | 386.94 85 | 364.25 84 | 352.10 83 | 244.72 87 | 471.62 86 |
|
PatchmatchNet | | | 452.63 87 | 410.20 87 | 502.13 89 | 520.70 95 | 614.40 96 | 546.00 94 | 1018.80 101 | 379.00 90 | 167.50 92 | 277.10 88 | 169.40 93 | 437.10 88 | 437.10 87 | 457.50 88 | 322.70 92 | 536.90 89 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
MS-PatchMatch | | | 438.85 85 | 388.71 85 | 497.33 87 | 479.00 89 | 527.00 94 | 558.00 96 | 988.00 94 | 379.00 90 | 174.00 93 | 278.00 89 | 162.00 92 | 494.00 91 | 418.00 85 | 412.00 84 | 291.00 88 | 545.00 90 |
|
PMVS | | 743.55 2 | 836.66 107 | 637.90 104 | 1068.55 116 | 1306.50 123 | 875.12 110 | 1166.70 122 | 2629.00 119 | 512.24 100 | 196.22 94 | 282.69 90 | 237.15 100 | 597.87 95 | 842.47 110 | 765.54 109 | 514.99 107 | 950.09 108 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
DELS-MVS | | | 458.84 88 | 423.31 88 | 500.30 88 | 511.99 94 | 616.59 97 | 578.86 97 | 991.10 95 | 355.79 89 | 158.99 90 | 319.09 91 | 190.62 95 | 453.64 90 | 437.73 88 | 439.52 85 | 307.20 90 | 603.81 91 |
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 |
dps | | | 534.60 89 | 472.40 89 | 607.16 92 | 690.38 103 | 718.85 101 | 636.03 98 | 1231.66 103 | 422.74 92 | 198.65 95 | 325.68 92 | 194.97 96 | 512.90 92 | 509.81 92 | 513.65 91 | 373.33 95 | 621.11 92 |
|
IterMVS | | | 554.60 92 | 488.63 90 | 631.57 97 | 636.90 100 | 700.80 99 | 674.70 100 | 1271.10 105 | 430.50 93 | 207.10 97 | 370.50 93 | 202.70 97 | 611.80 96 | 534.20 95 | 545.30 94 | 387.80 96 | 636.40 93 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
IB-MVS | | 750.90 3 | 552.99 91 | 511.38 95 | 601.53 91 | 606.02 99 | 735.75 103 | 688.75 101 | 1183.86 102 | 436.09 94 | 210.63 98 | 397.40 94 | 233.85 99 | 551.05 93 | 521.77 93 | 533.78 93 | 368.88 94 | 721.05 99 |
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 |
ACMH+ | | 702.88 1 | 670.82 102 | 589.81 102 | 765.33 105 | 662.52 102 | 701.42 100 | 795.24 103 | 1698.33 113 | 598.81 109 | 226.55 99 | 403.02 95 | 187.13 94 | 786.82 106 | 724.80 108 | 646.56 101 | 422.52 99 | 866.95 106 |
|
MVS_Test | | | 654.54 97 | 583.51 97 | 737.40 100 | 721.80 104 | 822.10 105 | 808.60 104 | 1494.00 107 | 542.20 103 | 259.90 101 | 441.60 96 | 257.70 103 | 689.10 100 | 620.80 100 | 617.70 96 | 451.00 101 | 782.50 100 |
|
casdiffmvs | | | 654.54 97 | 583.51 97 | 737.40 100 | 721.80 104 | 822.10 105 | 808.60 104 | 1494.00 107 | 542.20 103 | 259.90 101 | 441.60 96 | 257.70 103 | 689.10 100 | 620.80 100 | 617.70 96 | 451.00 101 | 782.50 100 |
|
diffmvs | | | 654.54 97 | 583.51 97 | 737.40 100 | 721.80 104 | 822.10 105 | 808.60 104 | 1494.00 107 | 542.20 103 | 259.90 101 | 441.60 96 | 257.70 103 | 689.10 100 | 620.80 100 | 617.70 96 | 451.00 101 | 782.50 100 |
|
casdiffmvs1 | | | 654.54 97 | 583.51 97 | 737.40 100 | 721.80 104 | 822.10 105 | 808.60 104 | 1494.00 107 | 542.20 103 | 259.90 101 | 441.60 96 | 257.70 103 | 689.10 100 | 620.80 100 | 617.70 96 | 451.00 101 | 782.50 100 |
|
diffmvs1 | | | 654.54 97 | 583.51 97 | 737.40 100 | 721.80 104 | 822.10 105 | 808.60 104 | 1494.00 107 | 542.20 103 | 259.90 101 | 441.60 96 | 257.70 103 | 689.10 100 | 620.80 100 | 617.70 96 | 451.00 101 | 782.50 100 |
|
Gipuma | | | 587.77 96 | 529.57 96 | 655.67 98 | 637.00 101 | 733.00 102 | 749.00 102 | 1245.00 104 | 525.00 101 | 269.00 106 | 445.00 101 | 253.00 101 | 637.00 98 | 525.00 94 | 525.00 92 | 397.00 97 | 701.00 98 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
new-patchmatchnet | | | 712.65 103 | 632.59 103 | 806.05 108 | 787.79 109 | 936.25 113 | 882.47 110 | 1795.72 114 | 528.60 102 | 244.29 100 | 471.90 102 | 257.36 102 | 681.47 99 | 705.16 107 | 659.05 106 | 444.55 100 | 869.82 107 |
|
tmp_tt | | | | | 299.50 83 | 365.00 85 | 54.00 67 | 649.00 99 | 241.00 78 | 159.00 83 | 204.00 96 | 479.00 103 | 308.00 111 | 243.00 84 | 246.00 83 | 82.00 65 | 95.00 85 | |
|
IterMVS-LS | | | 714.97 104 | 638.00 105 | 804.77 107 | 793.60 110 | 914.20 111 | 886.50 112 | 1612.70 112 | 588.30 108 | 285.30 107 | 491.20 104 | 278.40 109 | 759.20 105 | 677.40 106 | 681.30 107 | 491.30 106 | 835.20 105 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
GG-mvs-BLEND | | | 557.53 93 | 503.49 91 | 620.58 94 | 485.90 90 | 370.41 88 | 267.30 87 | 710.53 87 | 454.42 95 | 785.72 132 | 491.23 105 | 326.12 113 | 881.92 109 | 538.27 96 | 650.05 102 | 592.08 111 | 693.94 94 |
|
gm-plane-assit | | | 551.84 90 | 503.49 91 | 608.24 93 | 411.90 86 | 370.41 88 | 267.30 87 | 710.53 87 | 454.42 95 | 785.72 132 | 491.23 105 | 326.12 113 | 881.92 109 | 538.27 96 | 650.05 102 | 592.08 111 | 693.94 94 |
|
gg-mvs-nofinetune | | | 557.53 93 | 503.49 91 | 620.58 94 | 485.90 90 | 370.41 88 | 267.30 87 | 710.53 87 | 454.42 95 | 785.72 132 | 491.23 105 | 326.12 113 | 881.92 109 | 538.27 96 | 650.05 102 | 592.08 111 | 693.94 94 |
|
CR-MVSNet | | | 557.53 93 | 503.49 91 | 620.58 94 | 485.90 90 | 370.41 88 | 267.30 87 | 710.53 87 | 454.42 95 | 785.72 132 | 491.23 105 | 326.12 113 | 881.92 109 | 538.27 96 | 650.05 102 | 592.08 111 | 693.94 94 |
|
MSLP-MVS++ | | | 993.91 111 | 732.21 107 | 1299.24 120 | 1631.22 126 | 1345.26 125 | 1480.05 126 | 2524.20 118 | 735.65 111 | 463.57 123 | 499.89 109 | 302.78 110 | 1292.66 122 | 675.99 105 | 612.79 95 | 403.71 98 | 953.11 110 |
|
FPMVS | | | 1356.65 122 | 1072.60 120 | 1688.04 124 | 1840.79 127 | 1397.01 126 | 1793.24 130 | 4397.86 130 | 804.66 112 | 408.78 118 | 538.65 110 | 407.36 122 | 894.84 114 | 1587.73 125 | 1286.38 124 | 792.73 121 | 1486.39 123 |
|
MVSTER | | | 834.63 106 | 737.03 108 | 948.49 109 | 988.86 112 | 1140.51 123 | 1129.34 121 | 1832.80 116 | 682.42 110 | 319.01 108 | 550.98 111 | 311.35 112 | 872.51 108 | 763.95 109 | 757.83 108 | 548.41 108 | 952.20 109 |
|
RPMNet | | | 858.01 108 | 961.99 114 | 736.69 99 | 550.05 97 | 1120.24 121 | 1212.05 123 | 463.05 84 | 485.90 99 | 550.05 125 | 580.05 112 | 890.05 142 | 559.05 94 | 1485.90 124 | 1185.90 122 | 1085.90 128 | 985.90 111 |
|
CSCG | | | 727.26 105 | 663.25 106 | 801.94 106 | 590.65 98 | 811.25 104 | 854.12 109 | 1805.32 115 | 816.43 114 | 388.25 112 | 612.42 113 | 345.37 119 | 621.61 97 | 507.46 91 | 471.55 89 | 551.65 109 | 1078.31 117 |
|
ACMH | | 935.68 4 | 948.23 110 | 857.00 110 | 1054.67 115 | 946.00 111 | 970.00 114 | 1125.00 120 | 2467.00 117 | 823.00 115 | 330.00 110 | 622.00 114 | 211.00 98 | 891.00 113 | 970.00 113 | 1061.00 119 | 569.00 110 | 1342.00 119 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
ACMM | | 1129.18 5 | 1047.56 116 | 912.90 111 | 1204.67 117 | 1040.21 118 | 1016.71 120 | 1105.32 118 | 2918.67 122 | 813.91 113 | 327.22 109 | 665.34 115 | 267.72 108 | 1192.58 121 | 1091.35 120 | 991.88 113 | 643.99 116 | 1543.40 126 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
TSAR-MVS + GP. | | | 1239.27 119 | 1094.74 122 | 1407.89 121 | 1220.99 122 | 1845.47 130 | 1680.98 129 | 3191.81 123 | 1098.41 124 | 362.98 111 | 679.12 116 | 339.31 118 | 1323.06 123 | 1173.24 123 | 1093.83 120 | 667.49 117 | 1433.78 122 |
|
MVS_111021_LR | | | 1055.24 117 | 916.36 112 | 1217.27 118 | 1129.93 121 | 1268.26 124 | 1313.88 125 | 2635.76 120 | 923.19 116 | 396.92 117 | 704.88 117 | 327.66 117 | 1136.32 120 | 965.38 112 | 946.95 110 | 690.83 119 | 1278.20 118 |
|
ACMP | | 1170.86 6 | 1091.37 118 | 943.23 113 | 1264.21 119 | 1112.10 120 | 1138.94 122 | 1276.90 124 | 2675.36 121 | 989.62 118 | 426.15 121 | 742.77 118 | 349.09 121 | 1454.51 126 | 1047.36 119 | 969.90 112 | 640.22 115 | 1364.94 121 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
PatchT | | | 878.42 109 | 785.05 109 | 987.36 110 | 1050.05 119 | 922.05 112 | 1111.05 119 | 677.05 86 | 950.05 117 | 1285.90 156 | 750.05 119 | 640.05 130 | 850.05 107 | 950.05 111 | 950.05 111 | 950.05 122 | 333.05 84 |
|
DeepC-MVS_fast | | 2081.98 8 | 1311.87 121 | 1172.50 123 | 1474.47 122 | 1411.78 124 | 1397.23 127 | 1519.03 127 | 3401.40 126 | 1201.29 125 | 417.90 119 | 801.95 120 | 976.25 146 | 1409.37 124 | 1114.52 121 | 1201.12 123 | 687.33 118 | 1515.14 125 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
ACMMPR | | | 1265.65 120 | 1083.59 121 | 1478.06 123 | 1441.06 125 | 1438.61 128 | 1540.68 128 | 3284.05 125 | 1219.68 126 | 458.81 122 | 803.22 121 | 346.91 120 | 1421.66 125 | 1126.11 122 | 1150.51 121 | 722.08 120 | 1500.09 124 |
|
3Dnovator | | 2220.89 9 | 2303.77 131 | 2037.00 133 | 2615.00 134 | 2617.00 138 | 2967.00 140 | 2616.00 134 | 5882.00 142 | 1928.00 138 | 589.00 126 | 907.00 122 | 528.00 127 | 2443.00 140 | 2370.00 140 | 2392.00 140 | 1543.00 144 | 3167.00 137 |
|
OpenMVS | | 2049.89 7 | 1895.92 123 | 1721.29 124 | 2099.67 125 | 2064.00 128 | 2419.00 133 | 2138.00 131 | 4572.00 131 | 1541.00 132 | 548.00 124 | 937.00 123 | 580.00 128 | 1983.00 128 | 1971.00 131 | 1993.00 129 | 1293.00 135 | 2608.00 130 |
|
3Dnovator+ | | 3173.67 12 | 2938.77 143 | 2519.43 138 | 3428.00 145 | 3256.00 147 | 3708.00 149 | 3443.00 146 | 7516.00 149 | 2525.00 145 | 1121.00 152 | 972.00 124 | 925.00 144 | 3192.00 147 | 2899.00 147 | 2897.00 149 | 2040.00 152 | 3710.00 148 |
|
CMPMVS | | 2507.20 10 | 2083.60 125 | 1983.13 129 | 2200.81 127 | 2582.70 137 | 3097.30 141 | 2332.10 132 | 4364.50 129 | 1390.00 127 | 653.68 128 | 997.75 125 | 742.65 135 | 1880.20 127 | 2298.80 138 | 2413.60 141 | 1391.70 138 | 2941.80 135 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
ambc | | | | 999.00 115 | | 999.00 113 | 999.00 115 | 999.00 113 | | 999.00 119 | 999.00 140 | 999.00 126 | 999.00 147 | 999.00 115 | 999.00 114 | 999.00 114 | 999.00 123 | 999.00 112 |
|
EPMVS | | | 999.00 112 | 999.00 115 | 999.00 111 | 999.00 113 | 999.00 115 | 999.00 113 | 999.00 96 | 999.00 119 | 999.00 140 | 999.00 126 | 999.00 147 | 999.00 115 | 999.00 114 | 999.00 114 | 999.00 123 | 999.00 112 |
|
sosnet | | | 1000.00 113 | 1000.00 117 | 1000.00 112 | 1000.00 115 | 1000.00 117 | 1000.00 115 | 1000.00 97 | 1000.00 121 | 1000.00 142 | 1000.00 128 | 1000.00 149 | 1000.00 117 | 1000.00 116 | 1000.00 116 | 1000.00 125 | 1000.00 114 |
|
USDC | | | 1000.00 113 | 1000.00 117 | 1000.00 112 | 1000.00 115 | 1000.00 117 | 1000.00 115 | 1000.00 97 | 1000.00 121 | 1000.00 142 | 1000.00 128 | 1000.00 149 | 1000.00 117 | 1000.00 116 | 1000.00 116 | 1000.00 125 | 1000.00 114 |
|
TinyColmap | | | 1000.00 113 | 1000.00 117 | 1000.00 112 | 1000.00 115 | 1000.00 117 | 1000.00 115 | 1000.00 97 | 1000.00 121 | 1000.00 142 | 1000.00 128 | 1000.00 149 | 1000.00 117 | 1000.00 116 | 1000.00 116 | 1000.00 125 | 1000.00 114 |
|
Vis-MVSNet | | | 2390.77 134 | 1976.57 128 | 2874.00 142 | 2644.00 139 | 3248.00 144 | 3040.00 141 | 7371.00 148 | 1627.00 133 | 421.00 120 | 1200.00 131 | 622.00 129 | 2251.00 130 | 2326.00 139 | 2052.00 133 | 1517.00 143 | 2761.00 134 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
PCF-MVS | | 3738.24 13 | 2129.60 126 | 1746.89 125 | 2576.10 133 | 2258.22 133 | 2263.67 131 | 2650.06 138 | 6361.78 144 | 1676.15 134 | 695.66 129 | 1209.77 132 | 737.88 133 | 2237.28 129 | 2083.02 133 | 1835.31 125 | 1253.58 134 | 2422.45 128 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
SD-MVS | | | 2324.36 132 | 1910.97 127 | 2806.65 141 | 2945.31 141 | 3305.03 146 | 3267.51 143 | 5962.25 143 | 1896.37 137 | 848.15 137 | 1224.25 133 | 661.55 131 | 2707.30 142 | 1913.40 127 | 1871.41 126 | 1109.38 129 | 2504.79 129 |
|
tpm cat1 | | | 2652.13 136 | 2606.66 140 | 2705.18 136 | 3151.86 143 | 6902.39 157 | 3612.17 148 | 5463.78 138 | 1457.76 128 | 391.31 113 | 1358.61 134 | 446.44 123 | 2360.09 134 | 2296.48 134 | 2290.90 136 | 1251.84 130 | 3494.04 142 |
|
tpmp4_e23 | | | 2652.13 136 | 2606.66 140 | 2705.18 136 | 3151.86 143 | 6902.39 157 | 3612.17 148 | 5463.78 138 | 1457.76 128 | 391.31 113 | 1358.61 134 | 446.44 123 | 2360.09 134 | 2296.48 134 | 2290.90 136 | 1251.84 130 | 3494.04 142 |
|
CostFormer | | | 2652.13 136 | 2606.66 140 | 2705.18 136 | 3151.86 143 | 6902.39 157 | 3612.17 148 | 5463.78 138 | 1457.76 128 | 391.31 113 | 1358.61 134 | 446.44 123 | 2360.09 134 | 2296.48 134 | 2290.90 136 | 1251.84 130 | 3494.04 142 |
|
tpm | | | 2652.13 136 | 2606.66 140 | 2705.18 136 | 3151.86 143 | 6902.39 157 | 3612.17 148 | 5463.78 138 | 1457.76 128 | 391.31 113 | 1358.61 134 | 446.44 123 | 2360.09 134 | 2296.48 134 | 2290.90 136 | 1251.84 130 | 3494.04 142 |
|
MVS-HIRNet | | | 1975.98 124 | 1797.02 126 | 2184.76 126 | 2111.07 129 | 2443.03 134 | 2503.43 133 | 4063.71 127 | 1684.46 135 | 711.34 130 | 1456.05 138 | 848.70 140 | 2396.26 138 | 1900.93 126 | 1915.01 127 | 1322.75 136 | 2330.99 127 |
|
DeepPCF-MVS | | 3033.31 11 | 2362.79 133 | 2183.15 135 | 2572.38 132 | 2349.28 134 | 2383.16 132 | 2740.92 139 | 5212.97 134 | 2043.02 139 | 751.44 131 | 1466.47 139 | 1327.42 157 | 2904.33 143 | 2573.45 144 | 2227.77 134 | 1475.33 139 | 3260.73 139 |
|
SteuartSystems-ACMMP | | | 2615.00 135 | 2242.57 136 | 3049.50 143 | 2828.00 140 | 2801.00 139 | 3323.00 145 | 6648.00 146 | 2491.00 144 | 1023.00 148 | 1605.00 140 | 697.00 132 | 2926.00 145 | 2502.00 141 | 2279.00 135 | 1549.00 145 | 3323.00 141 |
Skip Steuart: Steuart Systems R&D Blog. |
AdaColmap | | | 2288.90 130 | 2080.73 134 | 2531.77 131 | 2485.98 136 | 2757.87 138 | 2974.47 140 | 4914.62 132 | 2255.54 143 | 804.63 136 | 1611.14 141 | 842.30 139 | 2657.83 141 | 2056.92 132 | 1960.62 128 | 1353.09 137 | 3080.73 136 |
|
CHOSEN 280x420 | | | 2225.10 127 | 1992.66 130 | 2496.28 128 | 2192.10 130 | 2641.81 135 | 2621.41 135 | 5345.34 135 | 2116.46 140 | 1002.26 145 | 1683.84 142 | 837.43 136 | 2338.65 131 | 1920.94 128 | 2020.28 130 | 1477.92 140 | 2727.86 131 |
|
CHOSEN 1792x2688 | | | 2225.10 127 | 1992.66 130 | 2496.28 128 | 2192.10 130 | 2641.81 135 | 2621.41 135 | 5345.34 135 | 2116.46 140 | 1002.26 145 | 1683.84 142 | 837.43 136 | 2338.65 131 | 1920.94 128 | 2020.28 130 | 1477.92 140 | 2727.86 131 |
|
HyFIR lowres test | | | 2225.10 127 | 1992.66 130 | 2496.28 128 | 2192.10 130 | 2641.81 135 | 2621.41 135 | 5345.34 135 | 2116.46 140 | 1002.26 145 | 1683.84 142 | 837.43 136 | 2338.65 131 | 1920.94 128 | 2020.28 130 | 1477.92 140 | 2727.86 131 |
|
OMC-MVS | | | 4439.92 151 | 3906.78 151 | 5061.92 154 | 4748.70 157 | 5679.38 155 | 5855.03 161 | 9923.00 155 | 4023.36 157 | 1740.95 161 | 1693.78 145 | 1693.78 161 | 4658.45 155 | 4254.77 154 | 4135.74 154 | 3445.36 158 | 5866.63 155 |
|
tpmrst | | | 2688.71 140 | 2604.46 139 | 2787.00 140 | 2472.96 135 | 3190.36 142 | 3313.69 144 | 5003.06 133 | 1837.26 136 | 1097.38 151 | 1721.89 146 | 1012.20 152 | 2415.09 139 | 2970.27 150 | 2736.80 147 | 2419.79 155 | 4762.44 152 |
|
TSAR-MVS + ACMM | | | 3184.92 145 | 2679.45 145 | 3774.64 151 | 3302.51 148 | 4168.07 151 | 4256.74 155 | 8947.31 154 | 2634.53 148 | 1026.25 149 | 1723.72 147 | 1043.87 153 | 3387.29 149 | 2794.29 145 | 2687.41 145 | 1727.73 149 | 3704.25 147 |
|
MVE | | 11086.50 18 | 13278.69 157 | 12303.57 158 | 14416.33 159 | 9890.00 161 | 17107.00 165 | 4634.00 158 | 59884.00 163 | 3666.00 155 | 966.00 138 | 1792.00 148 | 896.00 143 | 5680.00 157 | 20677.00 162 | 23030.00 161 | 5444.00 162 | 18957.00 160 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
HSP-MVS | | | 3241.28 147 | 2825.26 148 | 3726.65 150 | 3945.31 153 | 4305.03 152 | 4267.51 157 | 6962.25 147 | 2896.37 152 | 1068.15 150 | 1824.25 149 | 1061.55 154 | 4307.30 153 | 3013.40 151 | 3171.41 150 | 1809.38 151 | 3504.79 146 |
|
OPM-MVS | | | 3051.54 144 | 2661.57 144 | 3506.50 146 | 3532.00 150 | 3332.00 147 | 3744.00 152 | 7839.00 152 | 2772.00 150 | 985.00 139 | 1919.00 150 | 738.00 134 | 3319.00 148 | 2901.00 148 | 2715.00 146 | 1620.00 147 | 4254.00 151 |
|
TAPA-MVS | | 5463.68 16 | 2764.21 142 | 2434.28 137 | 3149.14 144 | 3645.15 151 | 3257.60 145 | 3452.71 147 | 6526.32 145 | 2591.85 147 | 651.36 127 | 1964.77 151 | 947.44 145 | 2924.41 144 | 2523.36 142 | 2452.68 142 | 1694.86 148 | 3302.28 140 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
MVS_111021_HR | | | 3192.50 146 | 2773.91 147 | 3680.86 148 | 3515.58 149 | 3815.81 150 | 4020.82 154 | 7766.11 150 | 2775.23 151 | 1300.96 158 | 2221.19 152 | 1117.25 155 | 3420.01 150 | 2873.98 146 | 2835.60 148 | 2061.69 153 | 3778.31 150 |
|
COLMAP_ROB | | 3798.28 14 | 2690.62 141 | 2704.29 146 | 2674.67 135 | 3138.00 142 | 3522.00 148 | 3826.00 153 | 3219.00 124 | 2702.00 149 | 1138.00 154 | 2260.00 153 | 1212.00 156 | 2968.00 146 | 2936.00 149 | 2571.00 144 | 1759.00 150 | 3727.00 149 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
LS3D | | | 7481.83 155 | 6596.02 156 | 8515.28 157 | 9871.71 160 | 9844.03 163 | 9225.16 164 | 18308.40 160 | 5364.90 158 | 1267.41 155 | 2381.61 154 | 1512.79 158 | 7225.72 159 | 8875.69 158 | 9516.28 157 | 5193.26 161 | 8676.83 157 |
|
LTVRE_ROB | | 38377.89 19 | 49656.08 160 | 18936.71 160 | 85495.33 162 | 306852.00 167 | 22526.00 167 | 29206.00 167 | 112098.00 165 | 30022.00 163 | 17348.00 168 | 2824.00 155 | 11239.00 167 | 29457.00 163 | 20569.00 161 | 19941.00 160 | 18011.00 165 | 25436.00 162 |
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 |
PLC | | 4785.50 15 | 3275.54 148 | 3030.86 149 | 3561.00 147 | 4093.00 154 | 4596.00 154 | 5174.00 160 | 4267.00 128 | 3570.00 154 | 1495.00 159 | 2940.00 156 | 1594.00 159 | 3947.00 152 | 3817.00 153 | 3343.00 152 | 2390.00 154 | 1356.00 120 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
MAR-MVS | | | 3961.62 149 | 3726.55 150 | 4235.86 152 | 4107.62 155 | 6522.83 156 | 4862.93 159 | 7956.64 153 | 3380.98 153 | 1665.13 160 | 3231.54 157 | 1650.34 160 | 4357.29 154 | 3198.61 152 | 3209.42 151 | 2465.52 156 | 4892.15 153 |
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 + COLMAP | | | 6088.23 153 | 5315.97 154 | 6989.21 155 | 6522.51 158 | 8025.15 161 | 7938.31 162 | 15276.20 158 | 5401.97 159 | 1914.31 163 | 3802.65 158 | 1979.48 162 | 6704.11 158 | 5217.07 155 | 5137.16 155 | 3579.82 159 | 7648.29 156 |
|
CLD-MVS | | | 6986.85 154 | 6222.57 155 | 7878.50 156 | 7707.00 159 | 8884.00 162 | 9025.00 163 | 15607.00 159 | 6148.00 160 | 2571.00 164 | 4822.00 159 | 2082.00 164 | 7875.00 160 | 6389.00 156 | 6449.00 156 | 4486.00 160 | 8784.00 158 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
DeepC-MVS | | 5581.15 17 | 4824.92 152 | 5020.53 153 | 4596.70 153 | 4714.52 156 | 3205.14 143 | 3108.50 142 | 10234.20 157 | 3823.34 156 | 1885.23 162 | 9002.42 160 | 2045.34 163 | 4715.23 156 | 7652.65 157 | 3993.41 153 | 2922.51 157 | 5421.41 154 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
ACMMP | | | 9999.00 156 | 9999.00 157 | 9999.00 158 | 9999.00 162 | 9999.00 164 | 9999.00 165 | 9999.00 156 | 9999.00 161 | 9999.00 166 | 9999.00 161 | 9999.00 166 | 9999.00 161 | 9999.00 159 | 9999.00 158 | 9999.00 163 | 9999.00 159 |
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 |
CNLPA | | | 17763.08 158 | 15907.71 159 | 19927.67 160 | 19334.00 164 | 22387.00 166 | 22896.00 166 | 38668.00 161 | 15772.00 162 | 7632.00 165 | 13229.00 162 | 7123.00 165 | 19334.00 162 | 15773.00 160 | 15700.00 159 | 11702.00 164 | 21370.00 161 |
|
TSAR-MVS + MP. | | | 4216.58 150 | 4674.68 152 | 3682.13 149 | 3752.63 152 | 4315.48 153 | 4264.77 156 | 7782.51 151 | 2583.81 146 | 1125.68 153 | 16722.30 163 | 882.60 141 | 3589.10 151 | 2523.80 143 | 2486.45 143 | 1578.08 146 | 3208.34 138 |
|
MSDG | | | 31705.85 159 | 29167.57 161 | 34667.17 161 | 44079.00 165 | 28314.00 168 | 44778.00 168 | 43648.00 162 | 31045.00 164 | 14849.00 167 | 26179.00 164 | 13752.00 168 | 38088.00 164 | 30859.00 163 | 30835.00 162 | 22561.00 166 | 43189.00 163 |
|
PHI-MVS | | | 99999.00 161 | 99999.00 162 | 99999.00 163 | 99999.00 166 | 99999.00 169 | 99999.00 169 | 99999.00 164 | 99999.00 165 | 99999.00 169 | 99999.00 165 | 99999.00 169 | 99999.00 165 | 99999.00 164 | 99999.00 163 | 99999.00 167 | 99999.00 164 |
|
thisisatest0530 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
Anonymous202405211 | | | | 10000000.00 163 | | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
Anonymous20240521 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tttt0517 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
thisisatest0515 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpn111 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
conf0.01 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
ESAPD | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
conf0.002 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
thresconf0.02 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpn_n400 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpnconf | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpnview11 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpn1000 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpn_ndepth | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
conf200view11 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
thres100view900 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpnnormal | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpn200view9 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
view600 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
view800 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
conf0.05thres1000 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
tfpn | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
v1.0 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
pmmvs6 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
pmmvs5 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
Anonymous20231211 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
pmmvs-eth3d | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
Anonymous20231206 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
canonicalmvs | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
anonymousdsp | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
FC-MVSNet-train | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
UA-Net | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
FC-MVSNet-test | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
sosnet-low-res | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
DI_MVS_plusplus_trai | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
HPM-MVS++ | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
pm-mvs1 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
APDe-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
pmmvs4 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
test-LLR | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
TESTMET0.1,1 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
test-mter | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
testgi | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
test20.03 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
thres600view7 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
1111 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
.test1245 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
MP-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
testmvs | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
thres400 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
test123 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
thres200 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
test0.0.03 1 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
test12356 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
testus | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
pmmvs3 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
testmv | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
EMVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
E-PMN | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
test2356 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
test1235678 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
PGM-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
MCST-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
PMMVS2 | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
PM-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
DWT-MVSNet_training | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
testpf | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
LGP-MVS_train | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
EPNet_dtu | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
EPNet | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
CNVR-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
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NCCC | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
CP-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
no-one | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
CPTT-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
HQP-MVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
IS_MVSNet | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
Vis-MVSNet (Re-imp) | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
PatchMatch-RL | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
TDRefinement | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
EPP-MVSNet | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
PMMVS | | | 10000000.00 162 | 10000000.00 163 | 10000000.00 164 | 10000000.00 168 | 10000000.00 170 | 10000000.00 170 | 10000000.00 166 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 170 | 10000000.00 166 | 10000000.00 165 | 10000000.00 164 | 10000000.00 168 | 10000000.00 165 |
|
APD-MVS | | | 1000000000.00 244 | 1000000000.00 246 | 1000000000.00 246 | 1000000000.00 252 | 1000000000.00 253 | 1000000000.00 254 | 1000000000.00 249 | 1000000000.00 250 | 1000000000.00 253 | 1000000000.00 249 | 1000000000.00 254 | 1000000000.00 249 | 1000000000.00 248 | 1000000000.00 247 | 1000000000.00 251 | 1000000000.00 248 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
our_test_3 | | | | | | 9999.00 162 | 99.00 70 | 99.00 69 | | | | | | | | | | |
|
MTAPA | | | | | | | | | | | 41.98 70 | | 28.43 64 | | | | | |
|
MTMP | | | | | | | | | | | 10000000.00 170 | | 31.71 67 | | | | | |
|
Patchmatch-RL test | | | | | | | | 10000000.00 170 | | | | | | | | | | |
|
XVS | | | | | | 52.20 63 | 52.20 64 | 52.20 64 | | | 52.20 73 | | 52.20 82 | | | | 52.20 66 | |
|
X-MVStestdata | | | | | | 52.20 63 | 52.20 64 | 52.20 64 | | | 52.20 73 | | 52.20 82 | | | | 52.20 66 | |
|
mPP-MVS | | | | | | 10000000.00 168 | | | | | | | 10000000.00 170 | | | | | |
|
NP-MVS | | | | | | | | | | 10000000.00 166 | | | | | | | | |
|
Patchmtry | | | | | | | 1825.90 129 | 885.90 111 | 1405.90 106 | | 1285.90 156 | | | | | | | |
|