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 |
|
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 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v1921920 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v1192 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v1144 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v148 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v748 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v7n | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v1141 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v1neww | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v7new | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v1240 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v18 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v17 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v16 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
divwei89l23v2f112 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v15 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v13 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v12 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v8 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v7 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v6 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v11 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v52 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
V14 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v10 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
V4 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v2v482 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
v1 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
V42 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
V9 | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
GA-MVS | | | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 6 | 0.40 5 | 0.40 5 | 0.40 6 | 0.40 6 |
|
Fast-Effi-MVS+ | | | 0.41 36 | 0.41 36 | 0.41 37 | 0.41 37 | 0.41 37 | 0.41 37 | 0.41 37 | 0.41 37 | 0.41 37 | 0.41 37 | 0.41 37 | 0.41 37 | 0.41 36 | 0.41 36 | 0.41 37 | 0.41 37 |
|
Effi-MVS+ | | | 0.53 37 | 0.53 37 | 0.53 38 | 0.53 38 | 0.53 38 | 0.53 38 | 0.53 38 | 0.53 38 | 0.53 38 | 0.53 38 | 0.53 38 | 0.53 38 | 0.53 37 | 0.53 37 | 0.53 38 | 0.53 38 |
|
CDS-MVSNet | | | 0.88 38 | 0.88 38 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 38 | 0.88 38 | 0.88 39 | 0.88 39 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
TAMVS | | | 0.88 38 | 0.88 38 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 39 | 0.88 38 | 0.88 38 | 0.88 39 | 0.88 39 |
|
MDA-MVSNet-bldmvs | | | 1.20 40 | 1.20 40 | 1.20 41 | 1.20 41 | 1.20 42 | 1.20 42 | 1.20 42 | 1.20 42 | 1.20 42 | 1.20 42 | 1.20 42 | 1.20 42 | 1.20 41 | 1.20 40 | 1.20 42 | 1.20 42 |
|
CVMVSNet | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
EU-MVSNet | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
PS-CasMVS | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
UniMVSNet_NR-MVSNet | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
PEN-MVS | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
TransMVSNet (Re) | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
DTE-MVSNet | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
DU-MVS | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
UniMVSNet (Re) | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
CP-MVSNet | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
WR-MVS_H | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
WR-MVS | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
NR-MVSNet | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
Baseline_NR-MVSNet | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
TranMVSNet+NR-MVSNet | | | 1.42 41 | 1.42 41 | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 43 | 1.42 42 | 1.42 41 | 1.42 43 | 1.42 43 |
|
CDPH-MVS | | | 6.66 56 | 6.66 56 | 6.66 57 | 6.66 57 | 6.66 58 | 6.66 58 | 6.66 58 | 6.66 58 | 6.66 58 | 6.66 58 | 6.66 58 | 6.66 58 | 6.66 57 | 6.66 56 | 6.66 58 | 6.66 58 |
|
MDTV_nov1_ep13_2view | | | 9.99 57 | 9.99 57 | 9.99 58 | 9.99 58 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 58 | 9.99 57 | 9.99 59 | 9.99 59 |
|
MDTV_nov1_ep13 | | | 9.99 57 | 9.99 57 | 9.99 58 | 9.99 58 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 59 | 9.99 58 | 9.99 57 | 9.99 59 | 9.99 59 |
|
GBi-Net | | | 39.84 59 | 35.75 59 | 44.63 60 | 43.04 60 | 49.88 61 | 51.06 61 | 86.51 62 | 35.34 61 | 17.20 61 | 29.83 61 | 15.85 61 | 43.43 63 | 35.35 60 | 35.70 59 | 26.51 63 | 48.28 63 |
|
X-MVS | | | 52.20 60 | 52.20 60 | 52.20 61 | 52.20 61 | 52.20 62 | 52.20 62 | 52.20 61 | 52.20 62 | 52.20 68 | 52.20 62 | 52.20 77 | 52.20 64 | 52.20 61 | 52.20 60 | 52.20 64 | 52.20 64 |
|
new_pmnet | | | 75.00 61 | 74.67 61 | 75.39 62 | 85.42 64 | 96.03 66 | 98.77 65 | 173.23 63 | 69.57 63 | 36.19 62 | 56.93 63 | 117.43 81 | 32.98 61 | 85.38 69 | 68.41 61 | 25.74 61 | 28.95 61 |
|
N_pmnet | | | 75.00 61 | 74.67 61 | 75.39 62 | 85.42 64 | 96.03 66 | 98.77 65 | 173.23 63 | 69.57 63 | 36.19 62 | 56.93 63 | 117.43 81 | 32.98 61 | 85.38 69 | 68.41 61 | 25.74 61 | 28.95 61 |
|
UGNet | | | 100.44 63 | 93.07 63 | 109.04 64 | 111.90 66 | 131.06 70 | 119.40 67 | 222.42 72 | 80.48 65 | 36.93 64 | 70.80 65 | 40.92 66 | 89.90 65 | 100.59 71 | 101.42 64 | 73.68 69 | 126.25 65 |
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 |
FMVSNet5 | | | 116.86 64 | 110.47 66 | 124.32 65 | 131.47 69 | 157.41 71 | 150.67 70 | 199.64 65 | 115.30 69 | 56.61 74 | 97.70 71 | 51.77 67 | 117.26 66 | 77.26 62 | 113.14 67 | 90.25 73 | 160.68 69 |
|
test1 | | | 116.86 64 | 110.47 66 | 124.32 65 | 131.47 69 | 157.41 71 | 150.67 70 | 199.64 65 | 115.30 69 | 56.61 74 | 97.70 71 | 51.77 67 | 117.26 66 | 77.26 62 | 113.14 67 | 90.25 73 | 160.68 69 |
|
FMVSNet3 | | | 116.86 64 | 110.47 66 | 124.32 65 | 131.47 69 | 157.41 71 | 150.67 70 | 199.64 65 | 115.30 69 | 56.61 74 | 97.70 71 | 51.77 67 | 117.26 66 | 77.26 62 | 113.14 67 | 90.25 73 | 160.68 69 |
|
FMVSNet2 | | | 116.86 64 | 110.47 66 | 124.32 65 | 131.47 69 | 157.41 71 | 150.67 70 | 199.64 65 | 115.30 69 | 56.61 74 | 97.70 71 | 51.77 67 | 117.26 66 | 77.26 62 | 113.14 67 | 90.25 73 | 160.68 69 |
|
FMVSNet1 | | | 116.86 64 | 110.47 66 | 124.32 65 | 131.47 69 | 157.41 71 | 150.67 70 | 199.64 65 | 115.30 69 | 56.61 74 | 97.70 71 | 51.77 67 | 117.26 66 | 77.26 62 | 113.14 67 | 90.25 73 | 160.68 69 |
|
MIMVSNet1 | | | 116.86 64 | 110.47 66 | 124.32 65 | 131.47 69 | 157.41 71 | 150.67 70 | 199.64 65 | 115.30 69 | 56.61 74 | 97.70 71 | 51.77 67 | 117.26 66 | 77.26 62 | 113.14 67 | 90.25 73 | 160.68 69 |
|
MIMVSNet | | | 116.86 64 | 110.47 66 | 124.32 65 | 131.47 69 | 157.41 71 | 150.67 70 | 199.64 65 | 115.30 69 | 56.61 74 | 97.70 71 | 51.77 67 | 117.26 66 | 77.26 62 | 113.14 67 | 90.25 73 | 160.68 69 |
|
ACMMP_Plus | | | 119.64 71 | 106.58 64 | 134.88 72 | 123.82 67 | 127.44 68 | 145.38 68 | 298.43 77 | 116.16 76 | 43.72 66 | 77.82 66 | 29.30 63 | 131.24 73 | 117.82 75 | 106.21 65 | 66.69 67 | 171.29 76 |
|
MPTG | | | 119.64 71 | 106.58 64 | 134.88 72 | 123.82 67 | 127.44 68 | 145.38 68 | 298.43 77 | 116.16 76 | 43.72 66 | 77.82 66 | 29.30 63 | 131.24 73 | 117.82 75 | 106.21 65 | 66.69 67 | 171.29 76 |
|
PVSNet_Blended_VisFu | | | 129.22 73 | 115.76 73 | 144.92 74 | 140.60 76 | 162.80 78 | 166.50 77 | 281.20 74 | 114.70 66 | 55.50 71 | 96.20 68 | 51.80 74 | 140.60 75 | 114.70 72 | 114.70 74 | 85.10 70 | 155.40 66 |
|
PVSNet_BlendedMVS | | | 129.22 73 | 115.76 73 | 144.92 74 | 140.60 76 | 162.80 78 | 166.50 77 | 281.20 74 | 114.70 66 | 55.50 71 | 96.20 68 | 51.80 74 | 140.60 75 | 114.70 72 | 114.70 74 | 85.10 70 | 155.40 66 |
|
PVSNet_Blended | | | 129.22 73 | 115.76 73 | 144.92 74 | 140.60 76 | 162.80 78 | 166.50 77 | 281.20 74 | 114.70 66 | 55.50 71 | 96.20 68 | 51.80 74 | 140.60 75 | 114.70 72 | 114.70 74 | 85.10 70 | 155.40 66 |
|
SixPastTwentyTwo | | | 210.90 76 | 189.75 76 | 235.58 77 | 225.41 79 | 284.88 81 | 267.17 80 | 485.88 80 | 164.28 79 | 76.51 81 | 137.62 78 | 76.69 80 | 214.49 78 | 206.28 77 | 208.00 77 | 144.02 81 | 250.52 78 |
|
RPSCF | | | 376.53 77 | 341.80 77 | 417.05 79 | 418.60 82 | 457.01 86 | 467.46 85 | 825.25 86 | 336.12 82 | 159.32 86 | 260.40 82 | 151.13 86 | 386.94 80 | 364.25 79 | 352.10 78 | 244.72 82 | 471.62 81 |
|
EG-PatchMatch MVS | | | 402.98 78 | 364.36 78 | 448.05 80 | 435.50 83 | 473.00 87 | 489.60 87 | 910.20 87 | 338.60 83 | 127.30 82 | 205.10 79 | 123.50 83 | 434.60 82 | 450.70 84 | 447.70 81 | 291.10 84 | 511.90 82 |
|
LP | | | 413.85 79 | 365.67 79 | 470.06 81 | 505.99 88 | 560.16 89 | 484.94 86 | 977.47 88 | 310.10 80 | 140.33 83 | 226.97 80 | 133.09 84 | 397.21 81 | 428.08 81 | 451.30 82 | 314.39 86 | 450.02 80 |
|
MS-PatchMatch | | | 438.85 80 | 388.71 80 | 497.33 82 | 479.00 84 | 527.00 88 | 558.00 90 | 988.00 89 | 379.00 85 | 174.00 88 | 278.00 84 | 162.00 87 | 494.00 86 | 418.00 80 | 412.00 79 | 291.00 83 | 545.00 85 |
|
ADS-MVSNet | | | 452.36 81 | 406.02 81 | 506.42 85 | 534.76 91 | 628.22 92 | 552.79 89 | 1009.99 95 | 333.98 81 | 149.26 84 | 246.67 81 | 149.01 85 | 447.03 84 | 465.35 85 | 501.18 85 | 344.69 88 | 517.75 83 |
|
PatchmatchNet | | | 452.63 82 | 410.20 82 | 502.13 84 | 520.70 90 | 614.40 90 | 546.00 88 | 1018.80 96 | 379.00 85 | 167.50 87 | 277.10 83 | 169.40 88 | 437.10 83 | 437.10 82 | 457.50 83 | 322.70 87 | 536.90 84 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
DELS-MVS | | | 458.84 83 | 423.31 83 | 500.30 83 | 511.99 89 | 616.59 91 | 578.86 91 | 991.10 90 | 355.79 84 | 158.99 85 | 319.09 86 | 190.62 90 | 453.64 85 | 437.73 83 | 439.52 80 | 307.20 85 | 603.81 86 |
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 84 | 472.40 84 | 607.16 87 | 690.38 98 | 718.85 95 | 636.03 92 | 1231.66 98 | 422.74 87 | 198.65 90 | 325.68 87 | 194.97 91 | 512.90 87 | 509.81 87 | 513.65 86 | 373.33 90 | 621.11 87 |
|
gm-plane-assit | | | 551.84 85 | 503.49 86 | 608.24 88 | 411.90 81 | 370.41 82 | 267.30 81 | 710.53 82 | 454.42 90 | 785.72 124 | 491.23 97 | 326.12 105 | 881.92 101 | 538.27 91 | 650.05 94 | 592.08 103 | 693.94 89 |
|
IB-MVS | | 750.90 3 | 552.99 86 | 511.38 90 | 601.53 86 | 606.02 94 | 735.75 97 | 688.75 95 | 1183.86 97 | 436.09 89 | 210.63 93 | 397.40 89 | 233.85 94 | 551.05 88 | 521.77 88 | 533.78 88 | 368.88 89 | 721.05 94 |
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 |
IterMVS | | | 554.60 87 | 488.63 85 | 631.57 92 | 636.90 95 | 700.80 93 | 674.70 94 | 1271.10 100 | 430.50 88 | 207.10 92 | 370.50 88 | 202.70 92 | 611.80 91 | 534.20 90 | 545.30 89 | 387.80 91 | 636.40 88 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
GG-mvs-BLEND | | | 557.53 88 | 503.49 86 | 620.58 89 | 485.90 85 | 370.41 82 | 267.30 81 | 710.53 82 | 454.42 90 | 785.72 124 | 491.23 97 | 326.12 105 | 881.92 101 | 538.27 91 | 650.05 94 | 592.08 103 | 693.94 89 |
|
gg-mvs-nofinetune | | | 557.53 88 | 503.49 86 | 620.58 89 | 485.90 85 | 370.41 82 | 267.30 81 | 710.53 82 | 454.42 90 | 785.72 124 | 491.23 97 | 326.12 105 | 881.92 101 | 538.27 91 | 650.05 94 | 592.08 103 | 693.94 89 |
|
CR-MVSNet | | | 557.53 88 | 503.49 86 | 620.58 89 | 485.90 85 | 370.41 82 | 267.30 81 | 710.53 82 | 454.42 90 | 785.72 124 | 491.23 97 | 326.12 105 | 881.92 101 | 538.27 91 | 650.05 94 | 592.08 103 | 693.94 89 |
|
Gipuma | | | 587.77 91 | 529.57 91 | 655.67 93 | 637.00 96 | 733.00 96 | 749.00 96 | 1245.00 99 | 525.00 96 | 269.00 98 | 445.00 93 | 253.00 96 | 637.00 93 | 525.00 89 | 525.00 87 | 397.00 92 | 701.00 93 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
MVS_Test | | | 654.54 92 | 583.51 92 | 737.40 95 | 721.80 99 | 822.10 99 | 808.60 98 | 1494.00 102 | 542.20 98 | 259.90 96 | 441.60 91 | 257.70 98 | 689.10 95 | 620.80 95 | 617.70 91 | 451.00 96 | 782.50 95 |
|
diffmvs | | | 654.54 92 | 583.51 92 | 737.40 95 | 721.80 99 | 822.10 99 | 808.60 98 | 1494.00 102 | 542.20 98 | 259.90 96 | 441.60 91 | 257.70 98 | 689.10 95 | 620.80 95 | 617.70 91 | 451.00 96 | 782.50 95 |
|
ACMH+ | | 702.88 1 | 670.82 94 | 589.81 94 | 765.33 97 | 662.52 97 | 701.42 94 | 795.24 97 | 1698.33 105 | 598.81 101 | 226.55 94 | 403.02 90 | 187.13 89 | 786.82 98 | 724.80 100 | 646.56 93 | 422.52 94 | 866.95 98 |
|
new-patchmatchnet | | | 712.65 95 | 632.59 95 | 806.05 100 | 787.79 101 | 936.25 104 | 882.47 101 | 1795.72 106 | 528.60 97 | 244.29 95 | 471.90 94 | 257.36 97 | 681.47 94 | 705.16 99 | 659.05 98 | 444.55 95 | 869.82 99 |
|
IterMVS-LS | | | 714.97 96 | 638.00 97 | 804.77 99 | 793.60 102 | 914.20 102 | 886.50 103 | 1612.70 104 | 588.30 100 | 285.30 99 | 491.20 96 | 278.40 101 | 759.20 97 | 677.40 98 | 681.30 99 | 491.30 98 | 835.20 97 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CSCG | | | 727.26 97 | 663.25 98 | 801.94 98 | 590.65 93 | 811.25 98 | 854.12 100 | 1805.32 107 | 816.43 106 | 388.25 104 | 612.42 105 | 345.37 111 | 621.61 92 | 507.46 86 | 471.55 84 | 551.65 101 | 1078.31 109 |
|
MVSTER | | | 834.63 98 | 737.03 100 | 948.49 101 | 988.86 104 | 1140.51 114 | 1129.34 112 | 1832.80 108 | 682.42 102 | 319.01 100 | 550.98 103 | 311.35 104 | 872.51 100 | 763.95 101 | 757.83 100 | 548.41 100 | 952.20 101 |
|
PMVS | | 743.55 2 | 836.66 99 | 637.90 96 | 1068.55 108 | 1306.50 115 | 875.12 101 | 1166.70 113 | 2629.00 111 | 512.24 95 | 196.22 89 | 282.69 85 | 237.15 95 | 597.87 90 | 842.47 102 | 765.54 101 | 514.99 99 | 950.09 100 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
RPMNet | | | 858.01 100 | 961.99 106 | 736.69 94 | 550.05 92 | 1120.24 112 | 1212.05 114 | 463.05 79 | 485.90 94 | 550.05 117 | 580.05 104 | 890.05 134 | 559.05 89 | 1485.90 116 | 1185.90 114 | 1085.90 120 | 985.90 103 |
|
PatchT | | | 878.42 101 | 785.05 101 | 987.36 102 | 1050.05 111 | 922.05 103 | 1111.05 110 | 677.05 81 | 950.05 109 | 1285.90 148 | 750.05 111 | 640.05 122 | 850.05 99 | 950.05 103 | 950.05 103 | 950.05 114 | 333.05 79 |
|
ACMH | | 935.68 4 | 948.23 102 | 857.00 102 | 1054.67 107 | 946.00 103 | 970.00 105 | 1125.00 111 | 2467.00 109 | 823.00 107 | 330.00 102 | 622.00 106 | 211.00 93 | 891.00 105 | 970.00 105 | 1061.00 111 | 569.00 102 | 1342.00 111 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
MSLP-MVS++ | | | 993.91 103 | 732.21 99 | 1299.24 112 | 1631.22 118 | 1345.26 116 | 1480.05 117 | 2524.20 110 | 735.65 103 | 463.57 115 | 499.89 101 | 302.78 102 | 1292.66 114 | 675.99 97 | 612.79 90 | 403.71 93 | 953.11 102 |
|
EPMVS | | | 999.00 104 | 999.00 107 | 999.00 103 | 999.00 105 | 999.00 106 | 999.00 104 | 999.00 91 | 999.00 111 | 999.00 132 | 999.00 118 | 999.00 139 | 999.00 107 | 999.00 106 | 999.00 106 | 999.00 115 | 999.00 104 |
|
sosnet | | | 1000.00 105 | 1000.00 109 | 1000.00 104 | 1000.00 107 | 1000.00 108 | 1000.00 106 | 1000.00 92 | 1000.00 113 | 1000.00 134 | 1000.00 120 | 1000.00 141 | 1000.00 109 | 1000.00 108 | 1000.00 108 | 1000.00 117 | 1000.00 106 |
|
USDC | | | 1000.00 105 | 1000.00 109 | 1000.00 104 | 1000.00 107 | 1000.00 108 | 1000.00 106 | 1000.00 92 | 1000.00 113 | 1000.00 134 | 1000.00 120 | 1000.00 141 | 1000.00 109 | 1000.00 108 | 1000.00 108 | 1000.00 117 | 1000.00 106 |
|
TinyColmap | | | 1000.00 105 | 1000.00 109 | 1000.00 104 | 1000.00 107 | 1000.00 108 | 1000.00 106 | 1000.00 92 | 1000.00 113 | 1000.00 134 | 1000.00 120 | 1000.00 141 | 1000.00 109 | 1000.00 108 | 1000.00 108 | 1000.00 117 | 1000.00 106 |
|
ACMM | | 1129.18 5 | 1047.56 108 | 912.90 103 | 1204.67 109 | 1040.21 110 | 1016.71 111 | 1105.32 109 | 2918.67 114 | 813.91 105 | 327.22 101 | 665.34 107 | 267.72 100 | 1192.58 113 | 1091.35 112 | 991.88 105 | 643.99 108 | 1543.40 118 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
MVS_111021_LR | | | 1055.24 109 | 916.36 104 | 1217.27 110 | 1129.93 113 | 1268.26 115 | 1313.88 116 | 2635.76 112 | 923.19 108 | 396.92 109 | 704.88 109 | 327.66 109 | 1136.32 112 | 965.38 104 | 946.95 102 | 690.83 111 | 1278.20 110 |
|
ACMP | | 1170.86 6 | 1091.37 110 | 943.23 105 | 1264.21 111 | 1112.10 112 | 1138.94 113 | 1276.90 115 | 2675.36 113 | 989.62 110 | 426.15 113 | 742.77 110 | 349.09 113 | 1454.51 118 | 1047.36 111 | 969.90 104 | 640.22 107 | 1364.94 113 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
TSAR-MVS + GP. | | | 1239.27 111 | 1094.74 114 | 1407.89 113 | 1220.99 114 | 1845.47 121 | 1680.98 120 | 3191.81 115 | 1098.41 116 | 362.98 103 | 679.12 108 | 339.31 110 | 1323.06 115 | 1173.24 115 | 1093.83 112 | 667.49 109 | 1433.78 114 |
|
ACMMPR | | | 1265.65 112 | 1083.59 113 | 1478.06 115 | 1441.06 117 | 1438.61 119 | 1540.68 119 | 3284.05 117 | 1219.68 118 | 458.81 114 | 803.22 113 | 346.91 112 | 1421.66 117 | 1126.11 114 | 1150.51 113 | 722.08 112 | 1500.09 116 |
|
DeepC-MVS_fast | | 2081.98 8 | 1311.87 113 | 1172.50 115 | 1474.47 114 | 1411.78 116 | 1397.23 118 | 1519.03 118 | 3401.40 118 | 1201.29 117 | 417.90 111 | 801.95 112 | 976.25 138 | 1409.37 116 | 1114.52 113 | 1201.12 115 | 687.33 110 | 1515.14 117 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
FPMVS | | | 1356.65 114 | 1072.60 112 | 1688.04 116 | 1840.79 119 | 1397.01 117 | 1793.24 121 | 4397.86 122 | 804.66 104 | 408.78 110 | 538.65 102 | 407.36 114 | 894.84 106 | 1587.73 117 | 1286.38 116 | 792.73 113 | 1486.39 115 |
|
OpenMVS | | 2049.89 7 | 1895.92 115 | 1721.29 116 | 2099.67 117 | 2064.00 120 | 2419.00 124 | 2138.00 122 | 4572.00 123 | 1541.00 124 | 548.00 116 | 937.00 115 | 580.00 120 | 1983.00 120 | 1971.00 123 | 1993.00 121 | 1293.00 127 | 2608.00 122 |
|
MVS-HIRNet | | | 1975.98 116 | 1797.02 118 | 2184.76 118 | 2111.07 121 | 2443.03 125 | 2503.43 124 | 4063.71 119 | 1684.46 127 | 711.34 122 | 1456.05 130 | 848.70 132 | 2396.26 130 | 1900.93 118 | 1915.01 119 | 1322.75 128 | 2330.99 119 |
|
CMPMVS | | 2507.20 10 | 2083.60 117 | 1983.13 121 | 2200.81 119 | 2582.70 129 | 3097.30 132 | 2332.10 123 | 4364.50 121 | 1390.00 119 | 653.68 120 | 997.75 117 | 742.65 127 | 1880.20 119 | 2298.80 130 | 2413.60 133 | 1391.70 130 | 2941.80 127 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
PCF-MVS | | 3738.24 13 | 2129.60 118 | 1746.89 117 | 2576.10 125 | 2258.22 125 | 2263.67 122 | 2650.06 129 | 6361.78 136 | 1676.15 126 | 695.66 121 | 1209.77 124 | 737.88 125 | 2237.28 121 | 2083.02 125 | 1835.31 117 | 1253.58 126 | 2422.45 120 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
CHOSEN 280x420 | | | 2225.10 119 | 1992.66 122 | 2496.28 120 | 2192.10 122 | 2641.81 126 | 2621.41 126 | 5345.34 127 | 2116.46 132 | 1002.26 137 | 1683.84 134 | 837.43 128 | 2338.65 123 | 1920.94 120 | 2020.28 122 | 1477.92 132 | 2727.86 123 |
|
CHOSEN 1792x2688 | | | 2225.10 119 | 1992.66 122 | 2496.28 120 | 2192.10 122 | 2641.81 126 | 2621.41 126 | 5345.34 127 | 2116.46 132 | 1002.26 137 | 1683.84 134 | 837.43 128 | 2338.65 123 | 1920.94 120 | 2020.28 122 | 1477.92 132 | 2727.86 123 |
|
HyFIR lowres test | | | 2225.10 119 | 1992.66 122 | 2496.28 120 | 2192.10 122 | 2641.81 126 | 2621.41 126 | 5345.34 127 | 2116.46 132 | 1002.26 137 | 1683.84 134 | 837.43 128 | 2338.65 123 | 1920.94 120 | 2020.28 122 | 1477.92 132 | 2727.86 123 |
|
AdaColmap | | | 2288.90 122 | 2080.73 126 | 2531.77 123 | 2485.98 128 | 2757.87 129 | 2974.47 131 | 4914.62 124 | 2255.54 135 | 804.63 128 | 1611.14 133 | 842.30 131 | 2657.83 133 | 2056.92 124 | 1960.62 120 | 1353.09 129 | 3080.73 128 |
|
3Dnovator | | 2220.89 9 | 2303.77 123 | 2037.00 125 | 2615.00 126 | 2617.00 130 | 2967.00 131 | 2616.00 125 | 5882.00 134 | 1928.00 130 | 589.00 118 | 907.00 114 | 528.00 119 | 2443.00 132 | 2370.00 132 | 2392.00 132 | 1543.00 136 | 3167.00 129 |
|
SD-MVS | | | 2324.36 124 | 1910.97 119 | 2806.65 133 | 2945.31 133 | 3305.03 137 | 3267.51 134 | 5962.25 135 | 1896.37 129 | 848.15 129 | 1224.25 125 | 661.55 123 | 2707.30 134 | 1913.40 119 | 1871.41 118 | 1109.38 121 | 2504.79 121 |
|
DeepPCF-MVS | | 3033.31 11 | 2362.79 125 | 2183.15 127 | 2572.38 124 | 2349.28 126 | 2383.16 123 | 2740.92 130 | 5212.97 126 | 2043.02 131 | 751.44 123 | 1466.47 131 | 1327.42 149 | 2904.33 135 | 2573.45 136 | 2227.77 126 | 1475.33 131 | 3260.73 131 |
|
Vis-MVSNet | | | 2390.77 126 | 1976.57 120 | 2874.00 134 | 2644.00 131 | 3248.00 135 | 3040.00 132 | 7371.00 140 | 1627.00 125 | 421.00 112 | 1200.00 123 | 622.00 121 | 2251.00 122 | 2326.00 131 | 2052.00 125 | 1517.00 135 | 2761.00 126 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
SteuartSystems-ACMMP | | | 2615.00 127 | 2242.57 128 | 3049.50 135 | 2828.00 132 | 2801.00 130 | 3323.00 136 | 6648.00 138 | 2491.00 136 | 1023.00 140 | 1605.00 132 | 697.00 124 | 2926.00 137 | 2502.00 133 | 2279.00 127 | 1549.00 137 | 3323.00 133 |
Skip Steuart: Steuart Systems R&D Blog. |
tpm cat1 | | | 2652.13 128 | 2606.66 132 | 2705.18 128 | 3151.86 135 | 6902.39 148 | 3612.17 139 | 5463.78 130 | 1457.76 120 | 391.31 105 | 1358.61 126 | 446.44 115 | 2360.09 126 | 2296.48 126 | 2290.90 128 | 1251.84 122 | 3494.04 134 |
|
tpmp4_e23 | | | 2652.13 128 | 2606.66 132 | 2705.18 128 | 3151.86 135 | 6902.39 148 | 3612.17 139 | 5463.78 130 | 1457.76 120 | 391.31 105 | 1358.61 126 | 446.44 115 | 2360.09 126 | 2296.48 126 | 2290.90 128 | 1251.84 122 | 3494.04 134 |
|
CostFormer | | | 2652.13 128 | 2606.66 132 | 2705.18 128 | 3151.86 135 | 6902.39 148 | 3612.17 139 | 5463.78 130 | 1457.76 120 | 391.31 105 | 1358.61 126 | 446.44 115 | 2360.09 126 | 2296.48 126 | 2290.90 128 | 1251.84 122 | 3494.04 134 |
|
tpm | | | 2652.13 128 | 2606.66 132 | 2705.18 128 | 3151.86 135 | 6902.39 148 | 3612.17 139 | 5463.78 130 | 1457.76 120 | 391.31 105 | 1358.61 126 | 446.44 115 | 2360.09 126 | 2296.48 126 | 2290.90 128 | 1251.84 122 | 3494.04 134 |
|
tpmrst | | | 2688.71 132 | 2604.46 131 | 2787.00 132 | 2472.96 127 | 3190.36 133 | 3313.69 135 | 5003.06 125 | 1837.26 128 | 1097.38 143 | 1721.89 138 | 1012.20 144 | 2415.09 131 | 2970.27 142 | 2736.80 139 | 2419.79 147 | 4762.44 144 |
|
COLMAP_ROB | | 3798.28 14 | 2690.62 133 | 2704.29 138 | 2674.67 127 | 3138.00 134 | 3522.00 139 | 3826.00 144 | 3219.00 116 | 2702.00 141 | 1138.00 146 | 2260.00 145 | 1212.00 148 | 2968.00 138 | 2936.00 141 | 2571.00 136 | 1759.00 142 | 3727.00 141 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
TAPA-MVS | | 5463.68 16 | 2764.21 134 | 2434.28 129 | 3149.14 136 | 3645.15 143 | 3257.60 136 | 3452.71 138 | 6526.32 137 | 2591.85 139 | 651.36 119 | 1964.77 143 | 947.44 137 | 2924.41 136 | 2523.36 134 | 2452.68 134 | 1694.86 140 | 3302.28 132 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
3Dnovator+ | | 3173.67 12 | 2938.77 135 | 2519.43 130 | 3428.00 137 | 3256.00 139 | 3708.00 140 | 3443.00 137 | 7516.00 141 | 2525.00 137 | 1121.00 144 | 972.00 116 | 925.00 136 | 3192.00 139 | 2899.00 139 | 2897.00 141 | 2040.00 144 | 3710.00 140 |
|
OPM-MVS | | | 3051.54 136 | 2661.57 136 | 3506.50 138 | 3532.00 142 | 3332.00 138 | 3744.00 143 | 7839.00 144 | 2772.00 142 | 985.00 131 | 1919.00 142 | 738.00 126 | 3319.00 140 | 2901.00 140 | 2715.00 138 | 1620.00 139 | 4254.00 143 |
|
TSAR-MVS + ACMM | | | 3184.92 137 | 2679.45 137 | 3774.64 143 | 3302.51 140 | 4168.07 142 | 4256.74 146 | 8947.31 146 | 2634.53 140 | 1026.25 141 | 1723.72 139 | 1043.87 145 | 3387.29 141 | 2794.29 137 | 2687.41 137 | 1727.73 141 | 3704.25 139 |
|
MVS_111021_HR | | | 3192.50 138 | 2773.91 139 | 3680.86 140 | 3515.58 141 | 3815.81 141 | 4020.82 145 | 7766.11 142 | 2775.23 143 | 1300.96 150 | 2221.19 144 | 1117.25 147 | 3420.01 142 | 2873.98 138 | 2835.60 140 | 2061.69 145 | 3778.31 142 |
|
HSP-MVS | | | 3241.28 139 | 2825.26 140 | 3726.65 142 | 3945.31 145 | 4305.03 143 | 4267.51 148 | 6962.25 139 | 2896.37 144 | 1068.15 142 | 1824.25 141 | 1061.55 146 | 4307.30 145 | 3013.40 143 | 3171.41 142 | 1809.38 143 | 3504.79 138 |
|
PLC | | 4785.50 15 | 3275.54 140 | 3030.86 141 | 3561.00 139 | 4093.00 146 | 4596.00 145 | 5174.00 151 | 4267.00 120 | 3570.00 146 | 1495.00 151 | 2940.00 148 | 1594.00 151 | 3947.00 144 | 3817.00 145 | 3343.00 144 | 2390.00 146 | 1356.00 112 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
MAR-MVS | | | 3961.62 141 | 3726.55 142 | 4235.86 144 | 4107.62 147 | 6522.83 147 | 4862.93 150 | 7956.64 145 | 3380.98 145 | 1665.13 152 | 3231.54 149 | 1650.34 152 | 4357.29 146 | 3198.61 144 | 3209.42 143 | 2465.52 148 | 4892.15 145 |
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 + MP. | | | 4216.58 142 | 4674.68 144 | 3682.13 141 | 3752.63 144 | 4315.48 144 | 4264.77 147 | 7782.51 143 | 2583.81 138 | 1125.68 145 | 16722.30 155 | 882.60 133 | 3589.10 143 | 2523.80 135 | 2486.45 135 | 1578.08 138 | 3208.34 130 |
|
OMC-MVS | | | 4439.92 143 | 3906.78 143 | 5061.92 146 | 4748.70 149 | 5679.38 146 | 5855.03 152 | 9923.00 147 | 4023.36 149 | 1740.95 153 | 1693.78 137 | 1693.78 153 | 4658.45 147 | 4254.77 146 | 4135.74 146 | 3445.36 150 | 5866.63 147 |
|
DeepC-MVS | | 5581.15 17 | 4824.92 144 | 5020.53 145 | 4596.70 145 | 4714.52 148 | 3205.14 134 | 3108.50 133 | 10234.20 149 | 3823.34 148 | 1885.23 154 | 9002.42 152 | 2045.34 155 | 4715.23 148 | 7652.65 149 | 3993.41 145 | 2922.51 149 | 5421.41 146 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
TSAR-MVS + COLMAP | | | 6088.23 145 | 5315.97 146 | 6989.21 147 | 6522.51 150 | 8025.15 152 | 7938.31 153 | 15276.20 150 | 5401.97 151 | 1914.31 155 | 3802.65 150 | 1979.48 154 | 6704.11 150 | 5217.07 147 | 5137.16 147 | 3579.82 151 | 7648.29 148 |
|
CLD-MVS | | | 6986.85 146 | 6222.57 147 | 7878.50 148 | 7707.00 151 | 8884.00 153 | 9025.00 154 | 15607.00 151 | 6148.00 152 | 2571.00 156 | 4822.00 151 | 2082.00 156 | 7875.00 152 | 6389.00 148 | 6449.00 148 | 4486.00 152 | 8784.00 150 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
LS3D | | | 7481.83 147 | 6596.02 148 | 8515.28 149 | 9871.71 152 | 9844.03 154 | 9225.16 155 | 18308.40 152 | 5364.90 150 | 1267.41 147 | 2381.61 146 | 1512.79 150 | 7225.72 151 | 8875.69 150 | 9516.28 149 | 5193.26 153 | 8676.83 149 |
|
ACMMP | | | 9999.00 148 | 9999.00 149 | 9999.00 150 | 9999.00 154 | 9999.00 155 | 9999.00 156 | 9999.00 148 | 9999.00 153 | 9999.00 158 | 9999.00 153 | 9999.00 158 | 9999.00 153 | 9999.00 151 | 9999.00 150 | 9999.00 155 | 9999.00 151 |
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 |
MVE | | 11086.50 18 | 13278.69 149 | 12303.57 150 | 14416.33 151 | 9890.00 153 | 17107.00 156 | 4634.00 149 | 59884.00 155 | 3666.00 147 | 966.00 130 | 1792.00 140 | 896.00 135 | 5680.00 149 | 20677.00 154 | 23030.00 153 | 5444.00 154 | 18957.00 152 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
CNLPA | | | 17763.08 150 | 15907.71 151 | 19927.67 152 | 19334.00 155 | 22387.00 157 | 22896.00 157 | 38668.00 153 | 15772.00 154 | 7632.00 157 | 13229.00 154 | 7123.00 157 | 19334.00 154 | 15773.00 152 | 15700.00 151 | 11702.00 156 | 21370.00 153 |
|
MSDG | | | 31705.85 151 | 29167.57 153 | 34667.17 153 | 44079.00 156 | 28314.00 159 | 44778.00 159 | 43648.00 154 | 31045.00 156 | 14849.00 159 | 26179.00 156 | 13752.00 160 | 38088.00 156 | 30859.00 155 | 30835.00 154 | 22561.00 158 | 43189.00 155 |
|
LTVRE_ROB | | 38377.89 19 | 49656.08 152 | 18936.71 152 | 85495.33 154 | 306852.00 158 | 22526.00 158 | 29206.00 158 | 112098.00 157 | 30022.00 155 | 17348.00 160 | 2824.00 147 | 11239.00 159 | 29457.00 155 | 20569.00 153 | 19941.00 152 | 18011.00 157 | 25436.00 154 |
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 |
PHI-MVS | | | 99999.00 153 | 99999.00 154 | 99999.00 155 | 99999.00 157 | 99999.00 160 | 99999.00 160 | 99999.00 156 | 99999.00 157 | 99999.00 161 | 99999.00 157 | 99999.00 161 | 99999.00 157 | 99999.00 156 | 99999.00 155 | 99999.00 159 | 99999.00 156 |
|
pmmvs6 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
pmmvs5 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
Anonymous20231211 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
pmmvs-eth3d | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
Anonymous20231206 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
canonicalmvs | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
anonymousdsp | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
FC-MVSNet-train | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
UA-Net | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
FC-MVSNet-test | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
sosnet-low-res | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
DI_MVS_plusplus_trai | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
HPM-MVS++ | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
pm-mvs1 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
APDe-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
pmmvs4 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
test-LLR | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
TESTMET0.1,1 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
test-mter | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
testgi | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
test20.03 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
1111 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
.test1245 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
MP-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
testmvs | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
test123 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
test0.0.03 1 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
test12356 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
testus | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
pmmvs3 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
testmv | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
EMVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
E-PMN | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
test2356 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
test1235678 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
PGM-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
MCST-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
PMMVS2 | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
PM-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
DWT-MVSNet_training | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
testpf | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
LGP-MVS_train | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
EPNet_dtu | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
EPNet | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
CNVR-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
NCCC | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
CP-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
no-one | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
CPTT-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
HQP-MVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
IS_MVSNet | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
Vis-MVSNet (Re-imp) | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
PatchMatch-RL | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
TDRefinement | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
EPP-MVSNet | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
PMMVS | | | 10000000.00 154 | 10000000.00 155 | 10000000.00 156 | 10000000.00 159 | 10000000.00 161 | 10000000.00 161 | 10000000.00 158 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 162 | 10000000.00 158 | 10000000.00 157 | 10000000.00 156 | 10000000.00 160 | 10000000.00 157 |
|
APD-MVS | | | 1000000000.00 210 | 1000000000.00 211 | 1000000000.00 212 | 1000000000.00 216 | 1000000000.00 217 | 1000000000.00 218 | 1000000000.00 214 | 1000000000.00 215 | 1000000000.00 219 | 1000000000.00 214 | 1000000000.00 219 | 1000000000.00 214 | 1000000000.00 213 | 1000000000.00 212 | 1000000000.00 216 | 1000000000.00 213 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
ambc | | | | 999.00 107 | | 999.00 105 | 999.00 106 | 999.00 104 | | 999.00 111 | 999.00 132 | 999.00 118 | 999.00 139 | 999.00 107 | 999.00 106 | 999.00 106 | 999.00 115 | 999.00 104 |
|
MTAPA | | | | | | | | | | | 41.98 65 | | 28.43 62 | | | | | |
|
MTMP | | | | | | | | | | | 10000000.00 162 | | 31.71 65 | | | | | |
|
Patchmatch-RL test | | | | | | | | 10000000.00 161 | | | | | | | | | | |
|
tmp_tt | | | | | 299.50 78 | 365.00 80 | 54.00 65 | 649.00 93 | 241.00 73 | 159.00 78 | 204.00 91 | 479.00 95 | 308.00 103 | 243.00 79 | 246.00 78 | 82.00 63 | 95.00 80 | |
|
XVS | | | | | | 52.20 61 | 52.20 62 | 52.20 62 | | | 52.20 68 | | 52.20 77 | | | | 52.20 64 | |
|
X-MVStestdata | | | | | | 52.20 61 | 52.20 62 | 52.20 62 | | | 52.20 68 | | 52.20 77 | | | | 52.20 64 | |
|
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 |
|
mPP-MVS | | | | | | 10000000.00 159 | | | | | | | 10000000.00 162 | | | | | |
|
NP-MVS | | | | | | | | | | 10000000.00 158 | | | | | | | | |
|
Patchmtry | | | | | | | 1825.90 120 | 885.90 102 | 1405.90 101 | | 1285.90 148 | | | | | | | |
|
DeepMVS_CX | | | | | | | 1.00 41 | 1.00 41 | 1.00 41 | 1.00 41 | 1.00 41 | 1.00 41 | 1.00 41 | 1.00 41 | 1.00 40 | | 1.00 41 | 1.00 41 |
|