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 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v1921920 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v1192 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v1144 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v148 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v748 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v7n | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v1141 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v1neww | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v7new | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v1240 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v18 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v17 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v16 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
divwei89l23v2f112 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v15 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v13 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v12 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v8 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v7 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v6 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v11 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v52 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
V14 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v10 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
V4 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v2v482 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
v1 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
V42 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
V9 | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
GA-MVS | | | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 7 | 0.40 6 | 0.40 6 | 0.40 7 | 0.40 7 |
|
Fast-Effi-MVS+ | | | 0.41 37 | 0.41 37 | 0.41 38 | 0.41 38 | 0.41 38 | 0.41 38 | 0.41 38 | 0.41 38 | 0.41 38 | 0.41 38 | 0.41 38 | 0.41 38 | 0.41 37 | 0.41 37 | 0.41 38 | 0.41 38 |
|
Effi-MVS+ | | | 0.53 38 | 0.53 38 | 0.53 39 | 0.53 39 | 0.53 39 | 0.53 39 | 0.53 39 | 0.53 39 | 0.53 39 | 0.53 39 | 0.53 39 | 0.53 39 | 0.53 38 | 0.53 38 | 0.53 39 | 0.53 39 |
|
CDS-MVSNet | | | 0.88 39 | 0.88 39 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 39 | 0.88 39 | 0.88 40 | 0.88 40 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
TAMVS | | | 0.88 39 | 0.88 39 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 40 | 0.88 39 | 0.88 39 | 0.88 40 | 0.88 40 |
|
DeepMVS_CX | | | | | | | 1.00 42 | 1.00 42 | 1.00 42 | 1.00 42 | 1.00 42 | 1.00 42 | 1.00 42 | 1.00 42 | 1.00 41 | | 1.00 42 | 1.00 42 |
|
MDA-MVSNet-bldmvs | | | 1.20 41 | 1.20 41 | 1.20 42 | 1.20 42 | 1.20 43 | 1.20 43 | 1.20 43 | 1.20 43 | 1.20 43 | 1.20 43 | 1.20 43 | 1.20 43 | 1.20 42 | 1.20 41 | 1.20 43 | 1.20 43 |
|
CVMVSNet | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
EU-MVSNet | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
PS-CasMVS | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
UniMVSNet_NR-MVSNet | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
PEN-MVS | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
TransMVSNet (Re) | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
DTE-MVSNet | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
DU-MVS | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
UniMVSNet (Re) | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
CP-MVSNet | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
WR-MVS_H | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
WR-MVS | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
NR-MVSNet | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
Baseline_NR-MVSNet | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
TranMVSNet+NR-MVSNet | | | 1.42 42 | 1.42 42 | 1.42 43 | 1.42 43 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 44 | 1.42 43 | 1.42 42 | 1.42 44 | 1.42 44 |
|
CDPH-MVS | | | 6.66 57 | 6.66 57 | 6.66 58 | 6.66 58 | 6.66 59 | 6.66 59 | 6.66 59 | 6.66 59 | 6.66 59 | 6.66 59 | 6.66 59 | 6.66 59 | 6.66 58 | 6.66 57 | 6.66 59 | 6.66 59 |
|
MDTV_nov1_ep13_2view | | | 9.99 58 | 9.99 58 | 9.99 59 | 9.99 59 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 59 | 9.99 58 | 9.99 60 | 9.99 60 |
|
MDTV_nov1_ep13 | | | 9.99 58 | 9.99 58 | 9.99 59 | 9.99 59 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 60 | 9.99 59 | 9.99 58 | 9.99 60 | 9.99 60 |
|
new_pmnet | | | 75.00 62 | 74.67 62 | 75.39 63 | 85.42 65 | 96.03 67 | 98.77 66 | 173.23 64 | 69.57 64 | 36.19 63 | 56.93 64 | 117.43 85 | 32.98 62 | 85.38 70 | 68.41 62 | 25.74 62 | 28.95 62 |
|
N_pmnet | | | 75.00 62 | 74.67 62 | 75.39 63 | 85.42 65 | 96.03 67 | 98.77 66 | 173.23 64 | 69.57 64 | 36.19 63 | 56.93 64 | 117.43 85 | 32.98 62 | 85.38 70 | 68.41 62 | 25.74 62 | 28.95 62 |
|
GBi-Net | | | 39.84 60 | 35.75 60 | 44.63 61 | 43.04 61 | 49.88 62 | 51.06 62 | 86.51 63 | 35.34 62 | 17.20 62 | 29.83 62 | 15.85 62 | 43.43 64 | 35.35 61 | 35.70 60 | 26.51 64 | 48.28 64 |
|
XVS | | | | | | 52.20 62 | 52.20 63 | 52.20 63 | | | 52.20 72 | | 52.20 81 | | | | 52.20 65 | |
|
X-MVStestdata | | | | | | 52.20 62 | 52.20 63 | 52.20 63 | | | 52.20 72 | | 52.20 81 | | | | 52.20 65 | |
|
X-MVS | | | 52.20 61 | 52.20 61 | 52.20 62 | 52.20 62 | 52.20 63 | 52.20 63 | 52.20 62 | 52.20 63 | 52.20 72 | 52.20 63 | 52.20 81 | 52.20 65 | 52.20 62 | 52.20 61 | 52.20 65 | 52.20 65 |
|
ACMMP_Plus | | | 119.64 75 | 106.58 68 | 134.88 76 | 123.82 71 | 127.44 69 | 145.38 72 | 298.43 81 | 116.16 80 | 43.72 70 | 77.82 70 | 29.30 64 | 131.24 77 | 117.82 79 | 106.21 69 | 66.69 68 | 171.29 80 |
|
MPTG | | | 119.64 75 | 106.58 68 | 134.88 76 | 123.82 71 | 127.44 69 | 145.38 72 | 298.43 81 | 116.16 80 | 43.72 70 | 77.82 70 | 29.30 64 | 131.24 77 | 117.82 79 | 106.21 69 | 66.69 68 | 171.29 80 |
|
CANet | | | 100.44 64 | 93.07 64 | 109.04 65 | 111.90 67 | 131.06 71 | 119.40 68 | 222.42 73 | 80.48 66 | 36.93 65 | 70.80 66 | 40.92 67 | 89.90 66 | 100.59 72 | 101.42 65 | 73.68 70 | 126.25 66 |
|
CANet_DTU | | | 100.44 64 | 93.07 64 | 109.04 65 | 111.90 67 | 131.06 71 | 119.40 68 | 222.42 73 | 80.48 66 | 36.93 65 | 70.80 66 | 40.92 67 | 89.90 66 | 100.59 72 | 101.42 65 | 73.68 70 | 126.25 66 |
|
MVS_0304 | | | 100.44 64 | 93.07 64 | 109.04 65 | 111.90 67 | 131.06 71 | 119.40 68 | 222.42 73 | 80.48 66 | 36.93 65 | 70.80 66 | 40.92 67 | 89.90 66 | 100.59 72 | 101.42 65 | 73.68 70 | 126.25 66 |
|
UGNet | | | 100.44 64 | 93.07 64 | 109.04 65 | 111.90 67 | 131.06 71 | 119.40 68 | 222.42 73 | 80.48 66 | 36.93 65 | 70.80 66 | 40.92 67 | 89.90 66 | 100.59 72 | 101.42 65 | 73.68 70 | 126.25 66 |
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 |
PVSNet_Blended_VisFu | | | 129.22 77 | 115.76 77 | 144.92 78 | 140.60 80 | 162.80 82 | 166.50 81 | 281.20 78 | 114.70 70 | 55.50 75 | 96.20 72 | 51.80 78 | 140.60 79 | 114.70 76 | 114.70 78 | 85.10 74 | 155.40 70 |
|
PVSNet_BlendedMVS | | | 129.22 77 | 115.76 77 | 144.92 78 | 140.60 80 | 162.80 82 | 166.50 81 | 281.20 78 | 114.70 70 | 55.50 75 | 96.20 72 | 51.80 78 | 140.60 79 | 114.70 76 | 114.70 78 | 85.10 74 | 155.40 70 |
|
PVSNet_Blended | | | 129.22 77 | 115.76 77 | 144.92 78 | 140.60 80 | 162.80 82 | 166.50 81 | 281.20 78 | 114.70 70 | 55.50 75 | 96.20 72 | 51.80 78 | 140.60 79 | 114.70 76 | 114.70 78 | 85.10 74 | 155.40 70 |
|
FMVSNet5 | | | 116.86 68 | 110.47 70 | 124.32 69 | 131.47 73 | 157.41 75 | 150.67 74 | 199.64 66 | 115.30 73 | 56.61 78 | 97.70 75 | 51.77 71 | 117.26 70 | 77.26 63 | 113.14 71 | 90.25 77 | 160.68 73 |
|
test1 | | | 116.86 68 | 110.47 70 | 124.32 69 | 131.47 73 | 157.41 75 | 150.67 74 | 199.64 66 | 115.30 73 | 56.61 78 | 97.70 75 | 51.77 71 | 117.26 70 | 77.26 63 | 113.14 71 | 90.25 77 | 160.68 73 |
|
FMVSNet3 | | | 116.86 68 | 110.47 70 | 124.32 69 | 131.47 73 | 157.41 75 | 150.67 74 | 199.64 66 | 115.30 73 | 56.61 78 | 97.70 75 | 51.77 71 | 117.26 70 | 77.26 63 | 113.14 71 | 90.25 77 | 160.68 73 |
|
FMVSNet2 | | | 116.86 68 | 110.47 70 | 124.32 69 | 131.47 73 | 157.41 75 | 150.67 74 | 199.64 66 | 115.30 73 | 56.61 78 | 97.70 75 | 51.77 71 | 117.26 70 | 77.26 63 | 113.14 71 | 90.25 77 | 160.68 73 |
|
FMVSNet1 | | | 116.86 68 | 110.47 70 | 124.32 69 | 131.47 73 | 157.41 75 | 150.67 74 | 199.64 66 | 115.30 73 | 56.61 78 | 97.70 75 | 51.77 71 | 117.26 70 | 77.26 63 | 113.14 71 | 90.25 77 | 160.68 73 |
|
MIMVSNet1 | | | 116.86 68 | 110.47 70 | 124.32 69 | 131.47 73 | 157.41 75 | 150.67 74 | 199.64 66 | 115.30 73 | 56.61 78 | 97.70 75 | 51.77 71 | 117.26 70 | 77.26 63 | 113.14 71 | 90.25 77 | 160.68 73 |
|
MIMVSNet | | | 116.86 68 | 110.47 70 | 124.32 69 | 131.47 73 | 157.41 75 | 150.67 74 | 199.64 66 | 115.30 73 | 56.61 78 | 97.70 75 | 51.77 71 | 117.26 70 | 77.26 63 | 113.14 71 | 90.25 77 | 160.68 73 |
|
tmp_tt | | | | | 299.50 82 | 365.00 84 | 54.00 66 | 649.00 97 | 241.00 77 | 159.00 82 | 204.00 95 | 479.00 99 | 308.00 107 | 243.00 83 | 246.00 82 | 82.00 64 | 95.00 84 | |
|
SixPastTwentyTwo | | | 210.90 80 | 189.75 80 | 235.58 81 | 225.41 83 | 284.88 85 | 267.17 84 | 485.88 84 | 164.28 83 | 76.51 85 | 137.62 82 | 76.69 84 | 214.49 82 | 206.28 81 | 208.00 81 | 144.02 85 | 250.52 82 |
|
RPSCF | | | 376.53 81 | 341.80 81 | 417.05 83 | 418.60 86 | 457.01 90 | 467.46 89 | 825.25 90 | 336.12 86 | 159.32 90 | 260.40 86 | 151.13 90 | 386.94 84 | 364.25 83 | 352.10 82 | 244.72 86 | 471.62 85 |
|
MS-PatchMatch | | | 438.85 84 | 388.71 84 | 497.33 86 | 479.00 88 | 527.00 92 | 558.00 94 | 988.00 93 | 379.00 89 | 174.00 92 | 278.00 88 | 162.00 91 | 494.00 90 | 418.00 84 | 412.00 83 | 291.00 87 | 545.00 89 |
|
EG-PatchMatch MVS | | | 402.98 82 | 364.36 82 | 448.05 84 | 435.50 87 | 473.00 91 | 489.60 91 | 910.20 91 | 338.60 87 | 127.30 86 | 205.10 83 | 123.50 87 | 434.60 86 | 450.70 88 | 447.70 85 | 291.10 88 | 511.90 86 |
|
DELS-MVS | | | 458.84 87 | 423.31 87 | 500.30 87 | 511.99 93 | 616.59 95 | 578.86 95 | 991.10 94 | 355.79 88 | 158.99 89 | 319.09 90 | 190.62 94 | 453.64 89 | 437.73 87 | 439.52 84 | 307.20 89 | 603.81 90 |
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 |
LP | | | 413.85 83 | 365.67 83 | 470.06 85 | 505.99 92 | 560.16 93 | 484.94 90 | 977.47 92 | 310.10 84 | 140.33 87 | 226.97 84 | 133.09 88 | 397.21 85 | 428.08 85 | 451.30 86 | 314.39 90 | 450.02 84 |
|
PatchmatchNet | | | 452.63 86 | 410.20 86 | 502.13 88 | 520.70 94 | 614.40 94 | 546.00 92 | 1018.80 100 | 379.00 89 | 167.50 91 | 277.10 87 | 169.40 92 | 437.10 87 | 437.10 86 | 457.50 87 | 322.70 91 | 536.90 88 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
ADS-MVSNet | | | 452.36 85 | 406.02 85 | 506.42 89 | 534.76 95 | 628.22 96 | 552.79 93 | 1009.99 99 | 333.98 85 | 149.26 88 | 246.67 85 | 149.01 89 | 447.03 88 | 465.35 89 | 501.18 89 | 344.69 92 | 517.75 87 |
|
IB-MVS | | 750.90 3 | 552.99 90 | 511.38 94 | 601.53 90 | 606.02 98 | 735.75 101 | 688.75 99 | 1183.86 101 | 436.09 93 | 210.63 97 | 397.40 93 | 233.85 98 | 551.05 92 | 521.77 92 | 533.78 92 | 368.88 93 | 721.05 98 |
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021 |
dps | | | 534.60 88 | 472.40 88 | 607.16 91 | 690.38 102 | 718.85 99 | 636.03 96 | 1231.66 102 | 422.74 91 | 198.65 94 | 325.68 91 | 194.97 95 | 512.90 91 | 509.81 91 | 513.65 90 | 373.33 94 | 621.11 91 |
|
IterMVS | | | 554.60 91 | 488.63 89 | 631.57 96 | 636.90 99 | 700.80 97 | 674.70 98 | 1271.10 104 | 430.50 92 | 207.10 96 | 370.50 92 | 202.70 96 | 611.80 95 | 534.20 94 | 545.30 93 | 387.80 95 | 636.40 92 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
Gipuma | | | 587.77 95 | 529.57 95 | 655.67 97 | 637.00 100 | 733.00 100 | 749.00 100 | 1245.00 103 | 525.00 100 | 269.00 102 | 445.00 97 | 253.00 100 | 637.00 97 | 525.00 93 | 525.00 91 | 397.00 96 | 701.00 97 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
MSLP-MVS++ | | | 993.91 107 | 732.21 103 | 1299.24 116 | 1631.22 122 | 1345.26 120 | 1480.05 121 | 2524.20 114 | 735.65 107 | 463.57 119 | 499.89 105 | 302.78 106 | 1292.66 118 | 675.99 101 | 612.79 94 | 403.71 97 | 953.11 106 |
|
ACMH+ | | 702.88 1 | 670.82 98 | 589.81 98 | 765.33 101 | 662.52 101 | 701.42 98 | 795.24 101 | 1698.33 109 | 598.81 105 | 226.55 98 | 403.02 94 | 187.13 93 | 786.82 102 | 724.80 104 | 646.56 97 | 422.52 98 | 866.95 102 |
|
new-patchmatchnet | | | 712.65 99 | 632.59 99 | 806.05 104 | 787.79 105 | 936.25 108 | 882.47 105 | 1795.72 110 | 528.60 101 | 244.29 99 | 471.90 98 | 257.36 101 | 681.47 98 | 705.16 103 | 659.05 102 | 444.55 99 | 869.82 103 |
|
MVS_Test | | | 654.54 96 | 583.51 96 | 737.40 99 | 721.80 103 | 822.10 103 | 808.60 102 | 1494.00 106 | 542.20 102 | 259.90 100 | 441.60 95 | 257.70 102 | 689.10 99 | 620.80 99 | 617.70 95 | 451.00 100 | 782.50 99 |
|
diffmvs | | | 654.54 96 | 583.51 96 | 737.40 99 | 721.80 103 | 822.10 103 | 808.60 102 | 1494.00 106 | 542.20 102 | 259.90 100 | 441.60 95 | 257.70 102 | 689.10 99 | 620.80 99 | 617.70 95 | 451.00 100 | 782.50 99 |
|
IterMVS-LS | | | 714.97 100 | 638.00 101 | 804.77 103 | 793.60 106 | 914.20 106 | 886.50 107 | 1612.70 108 | 588.30 104 | 285.30 103 | 491.20 100 | 278.40 105 | 759.20 101 | 677.40 102 | 681.30 103 | 491.30 102 | 835.20 101 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
PMVS | | 743.55 2 | 836.66 103 | 637.90 100 | 1068.55 112 | 1306.50 119 | 875.12 105 | 1166.70 117 | 2629.00 115 | 512.24 99 | 196.22 93 | 282.69 89 | 237.15 99 | 597.87 94 | 842.47 106 | 765.54 105 | 514.99 103 | 950.09 104 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
MVSTER | | | 834.63 102 | 737.03 104 | 948.49 105 | 988.86 108 | 1140.51 118 | 1129.34 116 | 1832.80 112 | 682.42 106 | 319.01 104 | 550.98 107 | 311.35 108 | 872.51 104 | 763.95 105 | 757.83 104 | 548.41 104 | 952.20 105 |
|
CSCG | | | 727.26 101 | 663.25 102 | 801.94 102 | 590.65 97 | 811.25 102 | 854.12 104 | 1805.32 111 | 816.43 110 | 388.25 108 | 612.42 109 | 345.37 115 | 621.61 96 | 507.46 90 | 471.55 88 | 551.65 105 | 1078.31 113 |
|
ACMH | | 935.68 4 | 948.23 106 | 857.00 106 | 1054.67 111 | 946.00 107 | 970.00 109 | 1125.00 115 | 2467.00 113 | 823.00 111 | 330.00 106 | 622.00 110 | 211.00 97 | 891.00 109 | 970.00 109 | 1061.00 115 | 569.00 106 | 1342.00 115 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
GG-mvs-BLEND | | | 557.53 92 | 503.49 90 | 620.58 93 | 485.90 89 | 370.41 86 | 267.30 85 | 710.53 86 | 454.42 94 | 785.72 128 | 491.23 101 | 326.12 109 | 881.92 105 | 538.27 95 | 650.05 98 | 592.08 107 | 693.94 93 |
|
gm-plane-assit | | | 551.84 89 | 503.49 90 | 608.24 92 | 411.90 85 | 370.41 86 | 267.30 85 | 710.53 86 | 454.42 94 | 785.72 128 | 491.23 101 | 326.12 109 | 881.92 105 | 538.27 95 | 650.05 98 | 592.08 107 | 693.94 93 |
|
gg-mvs-nofinetune | | | 557.53 92 | 503.49 90 | 620.58 93 | 485.90 89 | 370.41 86 | 267.30 85 | 710.53 86 | 454.42 94 | 785.72 128 | 491.23 101 | 326.12 109 | 881.92 105 | 538.27 95 | 650.05 98 | 592.08 107 | 693.94 93 |
|
CR-MVSNet | | | 557.53 92 | 503.49 90 | 620.58 93 | 485.90 89 | 370.41 86 | 267.30 85 | 710.53 86 | 454.42 94 | 785.72 128 | 491.23 101 | 326.12 109 | 881.92 105 | 538.27 95 | 650.05 98 | 592.08 107 | 693.94 93 |
|
ACMP | | 1170.86 6 | 1091.37 114 | 943.23 109 | 1264.21 115 | 1112.10 116 | 1138.94 117 | 1276.90 119 | 2675.36 117 | 989.62 114 | 426.15 117 | 742.77 114 | 349.09 117 | 1454.51 122 | 1047.36 115 | 969.90 108 | 640.22 111 | 1364.94 117 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
ACMM | | 1129.18 5 | 1047.56 112 | 912.90 107 | 1204.67 113 | 1040.21 114 | 1016.71 115 | 1105.32 113 | 2918.67 118 | 813.91 109 | 327.22 105 | 665.34 111 | 267.72 104 | 1192.58 117 | 1091.35 116 | 991.88 109 | 643.99 112 | 1543.40 122 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
TSAR-MVS + GP. | | | 1239.27 115 | 1094.74 118 | 1407.89 117 | 1220.99 118 | 1845.47 125 | 1680.98 124 | 3191.81 119 | 1098.41 120 | 362.98 107 | 679.12 112 | 339.31 114 | 1323.06 119 | 1173.24 119 | 1093.83 116 | 667.49 113 | 1433.78 118 |
|
DeepC-MVS_fast | | 2081.98 8 | 1311.87 117 | 1172.50 119 | 1474.47 118 | 1411.78 120 | 1397.23 122 | 1519.03 122 | 3401.40 122 | 1201.29 121 | 417.90 115 | 801.95 116 | 976.25 142 | 1409.37 120 | 1114.52 117 | 1201.12 119 | 687.33 114 | 1515.14 121 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
MVS_111021_LR | | | 1055.24 113 | 916.36 108 | 1217.27 114 | 1129.93 117 | 1268.26 119 | 1313.88 120 | 2635.76 116 | 923.19 112 | 396.92 113 | 704.88 113 | 327.66 113 | 1136.32 116 | 965.38 108 | 946.95 106 | 690.83 115 | 1278.20 114 |
|
ACMMPR | | | 1265.65 116 | 1083.59 117 | 1478.06 119 | 1441.06 121 | 1438.61 123 | 1540.68 123 | 3284.05 121 | 1219.68 122 | 458.81 118 | 803.22 117 | 346.91 116 | 1421.66 121 | 1126.11 118 | 1150.51 117 | 722.08 116 | 1500.09 120 |
|
FPMVS | | | 1356.65 118 | 1072.60 116 | 1688.04 120 | 1840.79 123 | 1397.01 121 | 1793.24 125 | 4397.86 126 | 804.66 108 | 408.78 114 | 538.65 106 | 407.36 118 | 894.84 110 | 1587.73 121 | 1286.38 120 | 792.73 117 | 1486.39 119 |
|
PatchT | | | 878.42 105 | 785.05 105 | 987.36 106 | 1050.05 115 | 922.05 107 | 1111.05 114 | 677.05 85 | 950.05 113 | 1285.90 152 | 750.05 115 | 640.05 126 | 850.05 103 | 950.05 107 | 950.05 107 | 950.05 118 | 333.05 83 |
|
ambc | | | | 999.00 111 | | 999.00 109 | 999.00 110 | 999.00 108 | | 999.00 115 | 999.00 136 | 999.00 122 | 999.00 143 | 999.00 111 | 999.00 110 | 999.00 110 | 999.00 119 | 999.00 108 |
|
EPMVS | | | 999.00 108 | 999.00 111 | 999.00 107 | 999.00 109 | 999.00 110 | 999.00 108 | 999.00 95 | 999.00 115 | 999.00 136 | 999.00 122 | 999.00 143 | 999.00 111 | 999.00 110 | 999.00 110 | 999.00 119 | 999.00 108 |
|
sosnet | | | 1000.00 109 | 1000.00 113 | 1000.00 108 | 1000.00 111 | 1000.00 112 | 1000.00 110 | 1000.00 96 | 1000.00 117 | 1000.00 138 | 1000.00 124 | 1000.00 145 | 1000.00 113 | 1000.00 112 | 1000.00 112 | 1000.00 121 | 1000.00 110 |
|
USDC | | | 1000.00 109 | 1000.00 113 | 1000.00 108 | 1000.00 111 | 1000.00 112 | 1000.00 110 | 1000.00 96 | 1000.00 117 | 1000.00 138 | 1000.00 124 | 1000.00 145 | 1000.00 113 | 1000.00 112 | 1000.00 112 | 1000.00 121 | 1000.00 110 |
|
TinyColmap | | | 1000.00 109 | 1000.00 113 | 1000.00 108 | 1000.00 111 | 1000.00 112 | 1000.00 110 | 1000.00 96 | 1000.00 117 | 1000.00 138 | 1000.00 124 | 1000.00 145 | 1000.00 113 | 1000.00 112 | 1000.00 112 | 1000.00 121 | 1000.00 110 |
|
RPMNet | | | 858.01 104 | 961.99 110 | 736.69 98 | 550.05 96 | 1120.24 116 | 1212.05 118 | 463.05 83 | 485.90 98 | 550.05 121 | 580.05 108 | 890.05 138 | 559.05 93 | 1485.90 120 | 1185.90 118 | 1085.90 124 | 985.90 107 |
|
SD-MVS | | | 2324.36 128 | 1910.97 123 | 2806.65 137 | 2945.31 137 | 3305.03 141 | 3267.51 138 | 5962.25 139 | 1896.37 133 | 848.15 133 | 1224.25 129 | 661.55 127 | 2707.30 138 | 1913.40 123 | 1871.41 122 | 1109.38 125 | 2504.79 125 |
|
tpm cat1 | | | 2652.13 132 | 2606.66 136 | 2705.18 132 | 3151.86 139 | 6902.39 152 | 3612.17 143 | 5463.78 134 | 1457.76 124 | 391.31 109 | 1358.61 130 | 446.44 119 | 2360.09 130 | 2296.48 130 | 2290.90 132 | 1251.84 126 | 3494.04 138 |
|
tpmp4_e23 | | | 2652.13 132 | 2606.66 136 | 2705.18 132 | 3151.86 139 | 6902.39 152 | 3612.17 143 | 5463.78 134 | 1457.76 124 | 391.31 109 | 1358.61 130 | 446.44 119 | 2360.09 130 | 2296.48 130 | 2290.90 132 | 1251.84 126 | 3494.04 138 |
|
CostFormer | | | 2652.13 132 | 2606.66 136 | 2705.18 132 | 3151.86 139 | 6902.39 152 | 3612.17 143 | 5463.78 134 | 1457.76 124 | 391.31 109 | 1358.61 130 | 446.44 119 | 2360.09 130 | 2296.48 130 | 2290.90 132 | 1251.84 126 | 3494.04 138 |
|
tpm | | | 2652.13 132 | 2606.66 136 | 2705.18 132 | 3151.86 139 | 6902.39 152 | 3612.17 143 | 5463.78 134 | 1457.76 124 | 391.31 109 | 1358.61 130 | 446.44 119 | 2360.09 130 | 2296.48 130 | 2290.90 132 | 1251.84 126 | 3494.04 138 |
|
PCF-MVS | | 3738.24 13 | 2129.60 122 | 1746.89 121 | 2576.10 129 | 2258.22 129 | 2263.67 126 | 2650.06 133 | 6361.78 140 | 1676.15 130 | 695.66 125 | 1209.77 128 | 737.88 129 | 2237.28 125 | 2083.02 129 | 1835.31 121 | 1253.58 130 | 2422.45 124 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
OpenMVS | | 2049.89 7 | 1895.92 119 | 1721.29 120 | 2099.67 121 | 2064.00 124 | 2419.00 128 | 2138.00 126 | 4572.00 127 | 1541.00 128 | 548.00 120 | 937.00 119 | 580.00 124 | 1983.00 124 | 1971.00 127 | 1993.00 125 | 1293.00 131 | 2608.00 126 |
|
MVS-HIRNet | | | 1975.98 120 | 1797.02 122 | 2184.76 122 | 2111.07 125 | 2443.03 129 | 2503.43 128 | 4063.71 123 | 1684.46 131 | 711.34 126 | 1456.05 134 | 848.70 136 | 2396.26 134 | 1900.93 122 | 1915.01 123 | 1322.75 132 | 2330.99 123 |
|
AdaColmap | | | 2288.90 126 | 2080.73 130 | 2531.77 127 | 2485.98 132 | 2757.87 133 | 2974.47 135 | 4914.62 128 | 2255.54 139 | 804.63 132 | 1611.14 137 | 842.30 135 | 2657.83 137 | 2056.92 128 | 1960.62 124 | 1353.09 133 | 3080.73 132 |
|
CMPMVS | | 2507.20 10 | 2083.60 121 | 1983.13 125 | 2200.81 123 | 2582.70 133 | 3097.30 136 | 2332.10 127 | 4364.50 125 | 1390.00 123 | 653.68 124 | 997.75 121 | 742.65 131 | 1880.20 123 | 2298.80 134 | 2413.60 137 | 1391.70 134 | 2941.80 131 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
DeepPCF-MVS | | 3033.31 11 | 2362.79 129 | 2183.15 131 | 2572.38 128 | 2349.28 130 | 2383.16 127 | 2740.92 134 | 5212.97 130 | 2043.02 135 | 751.44 127 | 1466.47 135 | 1327.42 153 | 2904.33 139 | 2573.45 140 | 2227.77 130 | 1475.33 135 | 3260.73 135 |
|
CHOSEN 280x420 | | | 2225.10 123 | 1992.66 126 | 2496.28 124 | 2192.10 126 | 2641.81 130 | 2621.41 130 | 5345.34 131 | 2116.46 136 | 1002.26 141 | 1683.84 138 | 837.43 132 | 2338.65 127 | 1920.94 124 | 2020.28 126 | 1477.92 136 | 2727.86 127 |
|
CHOSEN 1792x2688 | | | 2225.10 123 | 1992.66 126 | 2496.28 124 | 2192.10 126 | 2641.81 130 | 2621.41 130 | 5345.34 131 | 2116.46 136 | 1002.26 141 | 1683.84 138 | 837.43 132 | 2338.65 127 | 1920.94 124 | 2020.28 126 | 1477.92 136 | 2727.86 127 |
|
HyFIR lowres test | | | 2225.10 123 | 1992.66 126 | 2496.28 124 | 2192.10 126 | 2641.81 130 | 2621.41 130 | 5345.34 131 | 2116.46 136 | 1002.26 141 | 1683.84 138 | 837.43 132 | 2338.65 127 | 1920.94 124 | 2020.28 126 | 1477.92 136 | 2727.86 127 |
|
Vis-MVSNet | | | 2390.77 130 | 1976.57 124 | 2874.00 138 | 2644.00 135 | 3248.00 139 | 3040.00 136 | 7371.00 144 | 1627.00 129 | 421.00 116 | 1200.00 127 | 622.00 125 | 2251.00 126 | 2326.00 135 | 2052.00 129 | 1517.00 139 | 2761.00 130 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
3Dnovator | | 2220.89 9 | 2303.77 127 | 2037.00 129 | 2615.00 130 | 2617.00 134 | 2967.00 135 | 2616.00 129 | 5882.00 138 | 1928.00 134 | 589.00 122 | 907.00 118 | 528.00 123 | 2443.00 136 | 2370.00 136 | 2392.00 136 | 1543.00 140 | 3167.00 133 |
|
SteuartSystems-ACMMP | | | 2615.00 131 | 2242.57 132 | 3049.50 139 | 2828.00 136 | 2801.00 134 | 3323.00 140 | 6648.00 142 | 2491.00 140 | 1023.00 144 | 1605.00 136 | 697.00 128 | 2926.00 141 | 2502.00 137 | 2279.00 131 | 1549.00 141 | 3323.00 137 |
Skip Steuart: Steuart Systems R&D Blog. |
TSAR-MVS + MP. | | | 4216.58 146 | 4674.68 148 | 3682.13 145 | 3752.63 148 | 4315.48 148 | 4264.77 151 | 7782.51 147 | 2583.81 142 | 1125.68 149 | 16722.30 159 | 882.60 137 | 3589.10 147 | 2523.80 139 | 2486.45 139 | 1578.08 142 | 3208.34 134 |
|
OPM-MVS | | | 3051.54 140 | 2661.57 140 | 3506.50 142 | 3532.00 146 | 3332.00 142 | 3744.00 147 | 7839.00 148 | 2772.00 146 | 985.00 135 | 1919.00 146 | 738.00 130 | 3319.00 144 | 2901.00 144 | 2715.00 142 | 1620.00 143 | 4254.00 147 |
|
TAPA-MVS | | 5463.68 16 | 2764.21 138 | 2434.28 133 | 3149.14 140 | 3645.15 147 | 3257.60 140 | 3452.71 142 | 6526.32 141 | 2591.85 143 | 651.36 123 | 1964.77 147 | 947.44 141 | 2924.41 140 | 2523.36 138 | 2452.68 138 | 1694.86 144 | 3302.28 136 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
TSAR-MVS + ACMM | | | 3184.92 141 | 2679.45 141 | 3774.64 147 | 3302.51 144 | 4168.07 146 | 4256.74 150 | 8947.31 150 | 2634.53 144 | 1026.25 145 | 1723.72 143 | 1043.87 149 | 3387.29 145 | 2794.29 141 | 2687.41 141 | 1727.73 145 | 3704.25 143 |
|
COLMAP_ROB | | 3798.28 14 | 2690.62 137 | 2704.29 142 | 2674.67 131 | 3138.00 138 | 3522.00 143 | 3826.00 148 | 3219.00 120 | 2702.00 145 | 1138.00 150 | 2260.00 149 | 1212.00 152 | 2968.00 142 | 2936.00 145 | 2571.00 140 | 1759.00 146 | 3727.00 145 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
HSP-MVS | | | 3241.28 143 | 2825.26 144 | 3726.65 146 | 3945.31 149 | 4305.03 147 | 4267.51 152 | 6962.25 143 | 2896.37 148 | 1068.15 146 | 1824.25 145 | 1061.55 150 | 4307.30 149 | 3013.40 147 | 3171.41 146 | 1809.38 147 | 3504.79 142 |
|
3Dnovator+ | | 3173.67 12 | 2938.77 139 | 2519.43 134 | 3428.00 141 | 3256.00 143 | 3708.00 144 | 3443.00 141 | 7516.00 145 | 2525.00 141 | 1121.00 148 | 972.00 120 | 925.00 140 | 3192.00 143 | 2899.00 143 | 2897.00 145 | 2040.00 148 | 3710.00 144 |
|
MVS_111021_HR | | | 3192.50 142 | 2773.91 143 | 3680.86 144 | 3515.58 145 | 3815.81 145 | 4020.82 149 | 7766.11 146 | 2775.23 147 | 1300.96 154 | 2221.19 148 | 1117.25 151 | 3420.01 146 | 2873.98 142 | 2835.60 144 | 2061.69 149 | 3778.31 146 |
|
PLC | | 4785.50 15 | 3275.54 144 | 3030.86 145 | 3561.00 143 | 4093.00 150 | 4596.00 149 | 5174.00 155 | 4267.00 124 | 3570.00 150 | 1495.00 155 | 2940.00 152 | 1594.00 155 | 3947.00 148 | 3817.00 149 | 3343.00 148 | 2390.00 150 | 1356.00 116 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
tpmrst | | | 2688.71 136 | 2604.46 135 | 2787.00 136 | 2472.96 131 | 3190.36 137 | 3313.69 139 | 5003.06 129 | 1837.26 132 | 1097.38 147 | 1721.89 142 | 1012.20 148 | 2415.09 135 | 2970.27 146 | 2736.80 143 | 2419.79 151 | 4762.44 148 |
|
MAR-MVS | | | 3961.62 145 | 3726.55 146 | 4235.86 148 | 4107.62 151 | 6522.83 151 | 4862.93 154 | 7956.64 149 | 3380.98 149 | 1665.13 156 | 3231.54 153 | 1650.34 156 | 4357.29 150 | 3198.61 148 | 3209.42 147 | 2465.52 152 | 4892.15 149 |
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 |
DeepC-MVS | | 5581.15 17 | 4824.92 148 | 5020.53 149 | 4596.70 149 | 4714.52 152 | 3205.14 138 | 3108.50 137 | 10234.20 153 | 3823.34 152 | 1885.23 158 | 9002.42 156 | 2045.34 159 | 4715.23 152 | 7652.65 153 | 3993.41 149 | 2922.51 153 | 5421.41 150 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
OMC-MVS | | | 4439.92 147 | 3906.78 147 | 5061.92 150 | 4748.70 153 | 5679.38 150 | 5855.03 156 | 9923.00 151 | 4023.36 153 | 1740.95 157 | 1693.78 141 | 1693.78 157 | 4658.45 151 | 4254.77 150 | 4135.74 150 | 3445.36 154 | 5866.63 151 |
|
TSAR-MVS + COLMAP | | | 6088.23 149 | 5315.97 150 | 6989.21 151 | 6522.51 154 | 8025.15 156 | 7938.31 157 | 15276.20 154 | 5401.97 155 | 1914.31 159 | 3802.65 154 | 1979.48 158 | 6704.11 154 | 5217.07 151 | 5137.16 151 | 3579.82 155 | 7648.29 152 |
|
CLD-MVS | | | 6986.85 150 | 6222.57 151 | 7878.50 152 | 7707.00 155 | 8884.00 157 | 9025.00 158 | 15607.00 155 | 6148.00 156 | 2571.00 160 | 4822.00 155 | 2082.00 160 | 7875.00 156 | 6389.00 152 | 6449.00 152 | 4486.00 156 | 8784.00 154 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
LS3D | | | 7481.83 151 | 6596.02 152 | 8515.28 153 | 9871.71 156 | 9844.03 158 | 9225.16 159 | 18308.40 156 | 5364.90 154 | 1267.41 151 | 2381.61 150 | 1512.79 154 | 7225.72 155 | 8875.69 154 | 9516.28 153 | 5193.26 157 | 8676.83 153 |
|
MVE | | 11086.50 18 | 13278.69 153 | 12303.57 154 | 14416.33 155 | 9890.00 157 | 17107.00 160 | 4634.00 153 | 59884.00 159 | 3666.00 151 | 966.00 134 | 1792.00 144 | 896.00 139 | 5680.00 153 | 20677.00 158 | 23030.00 157 | 5444.00 158 | 18957.00 156 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
ACMMP | | | 9999.00 152 | 9999.00 153 | 9999.00 154 | 9999.00 158 | 9999.00 159 | 9999.00 160 | 9999.00 152 | 9999.00 157 | 9999.00 162 | 9999.00 157 | 9999.00 162 | 9999.00 157 | 9999.00 155 | 9999.00 154 | 9999.00 159 | 9999.00 155 |
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 | | | 17763.08 154 | 15907.71 155 | 19927.67 156 | 19334.00 159 | 22387.00 161 | 22896.00 161 | 38668.00 157 | 15772.00 158 | 7632.00 161 | 13229.00 158 | 7123.00 161 | 19334.00 158 | 15773.00 156 | 15700.00 155 | 11702.00 160 | 21370.00 157 |
|
LTVRE_ROB | | 38377.89 19 | 49656.08 156 | 18936.71 156 | 85495.33 158 | 306852.00 162 | 22526.00 162 | 29206.00 162 | 112098.00 161 | 30022.00 159 | 17348.00 164 | 2824.00 151 | 11239.00 163 | 29457.00 159 | 20569.00 157 | 19941.00 156 | 18011.00 161 | 25436.00 158 |
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 |
MSDG | | | 31705.85 155 | 29167.57 157 | 34667.17 157 | 44079.00 160 | 28314.00 163 | 44778.00 163 | 43648.00 158 | 31045.00 160 | 14849.00 163 | 26179.00 160 | 13752.00 164 | 38088.00 160 | 30859.00 159 | 30835.00 158 | 22561.00 162 | 43189.00 159 |
|
PHI-MVS | | | 99999.00 157 | 99999.00 158 | 99999.00 159 | 99999.00 161 | 99999.00 164 | 99999.00 164 | 99999.00 160 | 99999.00 161 | 99999.00 165 | 99999.00 161 | 99999.00 165 | 99999.00 161 | 99999.00 160 | 99999.00 159 | 99999.00 163 | 99999.00 160 |
|
tfpn111 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
conf0.01 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
conf0.002 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
thresconf0.02 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
tfpn_n400 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
tfpnconf | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
tfpnview11 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
tfpn1000 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
tfpn_ndepth | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
conf200view11 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
thres100view900 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
tfpnnormal | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
tfpn200view9 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
view600 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
view800 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
conf0.05thres1000 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
tfpn | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
ESAPD | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
pmmvs6 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
pmmvs5 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
Anonymous20231211 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
pmmvs-eth3d | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
Anonymous20231206 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
canonicalmvs | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
anonymousdsp | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
FC-MVSNet-train | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
UA-Net | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
FC-MVSNet-test | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
sosnet-low-res | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
DI_MVS_plusplus_trai | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
HPM-MVS++ | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
pm-mvs1 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
APDe-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
pmmvs4 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
test-LLR | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
TESTMET0.1,1 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
test-mter | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
testgi | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
test20.03 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
thres600view7 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
1111 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
.test1245 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
MP-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
testmvs | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
thres400 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
test123 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
thres200 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
test0.0.03 1 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
test12356 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
testus | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
pmmvs3 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
testmv | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
EMVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
E-PMN | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
test2356 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
test1235678 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
PGM-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
MCST-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
PMMVS2 | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
PM-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
DWT-MVSNet_training | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
testpf | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
LGP-MVS_train | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
EPNet_dtu | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
EPNet | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
CNVR-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
NCCC | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
CP-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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no-one | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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CPTT-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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HQP-MVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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IS_MVSNet | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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Vis-MVSNet (Re-imp) | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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PatchMatch-RL | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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TDRefinement | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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EPP-MVSNet | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
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PMMVS | | | 10000000.00 158 | 10000000.00 159 | 10000000.00 160 | 10000000.00 163 | 10000000.00 165 | 10000000.00 165 | 10000000.00 162 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 166 | 10000000.00 162 | 10000000.00 161 | 10000000.00 160 | 10000000.00 164 | 10000000.00 161 |
|
APD-MVS | | | 1000000000.00 235 | 1000000000.00 236 | 1000000000.00 237 | 1000000000.00 241 | 1000000000.00 242 | 1000000000.00 243 | 1000000000.00 239 | 1000000000.00 240 | 1000000000.00 244 | 1000000000.00 239 | 1000000000.00 244 | 1000000000.00 239 | 1000000000.00 238 | 1000000000.00 237 | 1000000000.00 241 | 1000000000.00 238 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
MTAPA | | | | | | | | | | | 41.98 69 | | 28.43 63 | | | | | |
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MTMP | | | | | | | | | | | 10000000.00 166 | | 31.71 66 | | | | | |
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Patchmatch-RL test | | | | | | | | 10000000.00 165 | | | | | | | | | | |
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mPP-MVS | | | | | | 10000000.00 163 | | | | | | | 10000000.00 166 | | | | | |
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NP-MVS | | | | | | | | | | 10000000.00 162 | | | | | | | | |
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Patchmtry | | | | | | | 1825.90 124 | 885.90 106 | 1405.90 105 | | 1285.90 152 | | | | | | | |
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