SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
EIA-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
ETV-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
CS-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
SMA-MVS |  | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology |
Fast-Effi-MVS+-dtu | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
Effi-MVS+-dtu | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
CS-MVS-test | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
DROMVSNet | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v1921920 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v1192 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v1144 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v148 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v7n | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v1240 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v8 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v10 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
v2v482 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
V42 | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
GA-MVS | | | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 14 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 | 0.40 13 |
|
Fast-Effi-MVS+ | | | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 26 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 | 0.41 25 |
|
Effi-MVS+ | | | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 27 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 | 0.53 26 |
|
CDS-MVSNet | | | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 28 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
TAMVS | | | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 28 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 | 0.88 27 |
|
DeepMVS_CX |  | | | | | | 1.00 29 | 1.00 29 | 1.00 29 | 1.00 29 | 1.00 29 | 1.00 29 | 1.00 30 | 1.00 29 | 1.00 29 | | 1.00 29 | 1.00 29 |
|
MDA-MVSNet-bldmvs | | | 1.20 29 | 1.20 29 | 1.20 29 | 1.20 29 | 1.20 30 | 1.20 30 | 1.20 30 | 1.20 30 | 1.20 30 | 1.20 30 | 1.20 31 | 1.20 30 | 1.20 30 | 1.20 29 | 1.20 30 | 1.20 30 |
|
CVMVSNet | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
EU-MVSNet | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
PS-CasMVS | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
UniMVSNet_NR-MVSNet | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
PEN-MVS | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
TransMVSNet (Re) | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
DTE-MVSNet | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
DU-MVS | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
UniMVSNet (Re) | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
CP-MVSNet | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
WR-MVS_H | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
WR-MVS | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
NR-MVSNet | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
Baseline_NR-MVSNet | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
TranMVSNet+NR-MVSNet | | | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 30 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 31 | 1.42 32 | 1.42 31 | 1.42 31 | 1.42 30 | 1.42 31 | 1.42 31 |
|
CDPH-MVS | | | 6.66 45 | 6.66 45 | 6.66 45 | 6.66 45 | 6.66 46 | 6.66 46 | 6.66 46 | 6.66 46 | 6.66 46 | 6.66 46 | 6.66 47 | 6.66 46 | 6.66 46 | 6.66 45 | 6.66 46 | 6.66 46 |
|
MDTV_nov1_ep13_2view | | | 9.99 46 | 9.99 46 | 9.99 46 | 9.99 46 | 9.99 47 | 9.99 47 | 9.99 47 | 9.99 47 | 9.99 49 | 9.99 47 | 9.99 50 | 9.99 47 | 9.99 47 | 9.99 46 | 9.99 47 | 9.99 47 |
|
MDTV_nov1_ep13 | | | 9.99 46 | 9.99 46 | 9.99 46 | 9.99 46 | 9.99 47 | 9.99 47 | 9.99 47 | 9.99 47 | 9.99 49 | 9.99 47 | 9.99 50 | 9.99 47 | 9.99 47 | 9.99 46 | 9.99 47 | 9.99 47 |
|
GeoE | | | 20.05 49 | 18.83 49 | 21.47 49 | 25.60 49 | 29.60 50 | 22.50 49 | 31.20 49 | 19.10 50 | 8.30 48 | 13.50 50 | 9.40 49 | 17.80 49 | 14.10 49 | 17.50 49 | 23.40 50 | 28.60 50 |
|
test_method | | | 18.19 48 | 15.64 48 | 21.17 48 | 19.00 48 | 22.00 49 | 22.50 49 | 38.00 50 | 15.50 49 | 7.50 47 | 13.00 49 | 7.00 48 | 19.00 50 | 15.50 50 | 15.50 48 | 21.00 49 | 21.00 49 |
|
new_pmnet | | | 75.00 52 | 74.67 52 | 75.39 52 | 85.42 54 | 96.03 56 | 98.77 55 | 173.23 53 | 69.57 53 | 36.19 52 | 56.93 53 | 117.43 75 | 32.98 51 | 85.38 60 | 68.41 52 | 25.74 51 | 28.95 51 |
|
N_pmnet | | | 75.00 52 | 74.67 52 | 75.39 52 | 85.42 54 | 96.03 56 | 98.77 55 | 173.23 53 | 69.57 53 | 36.19 52 | 56.93 53 | 117.43 75 | 32.98 51 | 85.38 60 | 68.41 52 | 25.74 51 | 28.95 51 |
|
GBi-Net | | | 39.84 50 | 35.75 50 | 44.63 50 | 43.04 50 | 49.88 51 | 51.06 51 | 86.51 52 | 35.34 51 | 17.20 51 | 29.83 51 | 15.85 52 | 43.43 53 | 35.35 51 | 35.70 50 | 26.51 53 | 48.28 53 |
|
X-MVS | | | 52.20 51 | 52.20 51 | 52.20 51 | 52.20 51 | 52.20 52 | 52.20 52 | 52.20 51 | 52.20 52 | 52.20 60 | 52.20 52 | 52.20 70 | 52.20 54 | 52.20 52 | 52.20 51 | 52.20 54 | 52.20 54 |
|
CANet | | | 100.44 54 | 93.07 54 | 109.04 54 | 111.90 56 | 131.06 60 | 119.40 58 | 222.42 62 | 80.48 55 | 36.93 54 | 70.80 55 | 40.92 56 | 89.90 55 | 100.59 62 | 101.42 55 | 73.68 58 | 126.25 55 |
|
CANet_DTU | | | 100.44 54 | 93.07 54 | 109.04 54 | 111.90 56 | 131.06 60 | 119.40 58 | 222.42 62 | 80.48 55 | 36.93 54 | 70.80 55 | 40.92 56 | 89.90 55 | 100.59 62 | 101.42 55 | 73.68 58 | 126.25 55 |
|
MVS_0304 | | | 100.44 54 | 93.07 54 | 109.04 54 | 111.90 56 | 131.06 60 | 119.40 58 | 222.42 62 | 80.48 55 | 36.93 54 | 70.80 55 | 40.92 56 | 89.90 55 | 100.59 62 | 101.42 55 | 73.68 58 | 126.25 55 |
|
UGNet | | | 100.44 54 | 93.07 54 | 109.04 54 | 111.90 56 | 131.06 60 | 119.40 58 | 222.42 62 | 80.48 55 | 36.93 54 | 70.80 55 | 40.92 56 | 89.90 55 | 100.59 62 | 101.42 55 | 73.68 58 | 126.25 55 |
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 58 | 110.47 59 | 124.32 58 | 131.47 61 | 157.41 64 | 150.67 63 | 199.64 55 | 115.30 62 | 56.61 66 | 97.70 63 | 51.77 60 | 117.26 59 | 77.26 53 | 113.14 60 | 90.25 65 | 160.68 62 |
|
test1 | | | 116.86 58 | 110.47 59 | 124.32 58 | 131.47 61 | 157.41 64 | 150.67 63 | 199.64 55 | 115.30 62 | 56.61 66 | 97.70 63 | 51.77 60 | 117.26 59 | 77.26 53 | 113.14 60 | 90.25 65 | 160.68 62 |
|
FMVSNet3 | | | 116.86 58 | 110.47 59 | 124.32 58 | 131.47 61 | 157.41 64 | 150.67 63 | 199.64 55 | 115.30 62 | 56.61 66 | 97.70 63 | 51.77 60 | 117.26 59 | 77.26 53 | 113.14 60 | 90.25 65 | 160.68 62 |
|
FMVSNet2 | | | 116.86 58 | 110.47 59 | 124.32 58 | 131.47 61 | 157.41 64 | 150.67 63 | 199.64 55 | 115.30 62 | 56.61 66 | 97.70 63 | 51.77 60 | 117.26 59 | 77.26 53 | 113.14 60 | 90.25 65 | 160.68 62 |
|
FMVSNet1 | | | 116.86 58 | 110.47 59 | 124.32 58 | 131.47 61 | 157.41 64 | 150.67 63 | 199.64 55 | 115.30 62 | 56.61 66 | 97.70 63 | 51.77 60 | 117.26 59 | 77.26 53 | 113.14 60 | 90.25 65 | 160.68 62 |
|
MIMVSNet1 | | | 116.86 58 | 110.47 59 | 124.32 58 | 131.47 61 | 157.41 64 | 150.67 63 | 199.64 55 | 115.30 62 | 56.61 66 | 97.70 63 | 51.77 60 | 117.26 59 | 77.26 53 | 113.14 60 | 90.25 65 | 160.68 62 |
|
MIMVSNet | | | 116.86 58 | 110.47 59 | 124.32 58 | 131.47 61 | 157.41 64 | 150.67 63 | 199.64 55 | 115.30 62 | 56.61 66 | 97.70 63 | 51.77 60 | 117.26 59 | 77.26 53 | 113.14 60 | 90.25 65 | 160.68 62 |
|
ACMMP_NAP | | | 119.64 65 | 106.58 58 | 134.88 65 | 123.82 60 | 127.44 59 | 145.38 62 | 298.43 70 | 116.16 69 | 43.72 59 | 77.82 59 | 29.30 54 | 131.24 66 | 117.82 69 | 106.21 59 | 66.69 57 | 171.29 69 |
|
PVSNet_Blended_VisFu | | | 129.22 66 | 115.76 66 | 144.92 66 | 140.60 68 | 162.80 71 | 166.50 70 | 281.20 67 | 114.70 59 | 55.50 63 | 96.20 60 | 51.80 67 | 140.60 67 | 114.70 66 | 114.70 67 | 85.10 62 | 155.40 59 |
|
PVSNet_BlendedMVS | | | 129.22 66 | 115.76 66 | 144.92 66 | 140.60 68 | 162.80 71 | 166.50 70 | 281.20 67 | 114.70 59 | 55.50 63 | 96.20 60 | 51.80 67 | 140.60 67 | 114.70 66 | 114.70 67 | 85.10 62 | 155.40 59 |
|
PVSNet_Blended | | | 129.22 66 | 115.76 66 | 144.92 66 | 140.60 68 | 162.80 71 | 166.50 70 | 281.20 67 | 114.70 59 | 55.50 63 | 96.20 60 | 51.80 67 | 140.60 67 | 114.70 66 | 114.70 67 | 85.10 62 | 155.40 59 |
|
SixPastTwentyTwo | | | 210.90 70 | 189.75 70 | 235.58 70 | 225.41 72 | 284.88 75 | 267.17 74 | 485.88 73 | 164.28 71 | 76.51 73 | 137.62 71 | 76.69 74 | 214.49 70 | 206.28 71 | 208.00 71 | 144.02 74 | 250.52 71 |
|
FA-MVS(training) | | | 203.85 69 | 180.15 69 | 231.50 69 | 222.82 71 | 259.22 74 | 245.99 73 | 478.61 72 | 172.32 72 | 82.03 74 | 130.35 70 | 72.14 73 | 221.74 71 | 190.35 70 | 197.39 70 | 137.78 73 | 239.26 70 |
|
tmp_tt | | | | | 299.50 71 | 365.00 73 | 54.00 55 | 649.00 86 | 241.00 66 | 159.00 70 | 204.00 84 | 479.00 93 | 308.00 102 | 243.00 72 | 246.00 72 | 82.00 54 | 95.00 72 | |
|
RPSCF | | | 376.53 71 | 341.80 71 | 417.05 72 | 418.60 75 | 457.01 80 | 467.46 79 | 825.25 80 | 336.12 74 | 159.32 78 | 260.40 74 | 151.13 79 | 386.94 73 | 364.25 73 | 352.10 72 | 244.72 75 | 471.62 73 |
|
EG-PatchMatch MVS | | | 402.98 72 | 364.36 72 | 448.05 73 | 435.50 76 | 473.00 81 | 489.60 80 | 910.20 81 | 338.60 75 | 127.30 75 | 205.10 72 | 123.50 77 | 434.60 74 | 450.70 77 | 447.70 75 | 291.10 77 | 511.90 74 |
|
PatchmatchNet |  | | 452.63 75 | 410.20 75 | 502.13 76 | 520.70 82 | 614.40 83 | 546.00 81 | 1018.80 90 | 379.00 77 | 167.50 79 | 277.10 75 | 169.40 81 | 437.10 75 | 437.10 75 | 457.50 76 | 322.70 79 | 536.90 76 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
ADS-MVSNet | | | 452.36 74 | 406.02 74 | 506.42 77 | 534.76 83 | 628.22 85 | 552.79 82 | 1009.99 89 | 333.98 73 | 149.26 76 | 246.67 73 | 149.01 78 | 447.03 76 | 465.35 78 | 501.18 78 | 344.69 80 | 517.75 75 |
|
DELS-MVS | | | 458.84 76 | 423.31 76 | 500.30 75 | 511.99 81 | 616.59 84 | 578.86 84 | 991.10 83 | 355.79 76 | 158.99 77 | 319.09 78 | 190.62 83 | 453.64 77 | 437.73 76 | 439.52 74 | 307.20 78 | 603.81 78 |
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 |
MS-PatchMatch | | | 438.85 73 | 388.71 73 | 497.33 74 | 479.00 77 | 527.00 82 | 558.00 83 | 988.00 82 | 379.00 77 | 174.00 80 | 278.00 76 | 162.00 80 | 494.00 78 | 418.00 74 | 412.00 73 | 291.00 76 | 545.00 77 |
|
pmnet_mix02 | | | 659.48 92 | 547.83 85 | 789.74 95 | 720.05 92 | 846.87 99 | 740.59 89 | 2153.63 108 | 456.15 86 | 191.24 81 | 336.49 80 | 200.39 85 | 511.90 79 | 608.74 88 | 634.29 91 | 421.05 86 | 751.91 87 |
|
dps | | | 534.60 77 | 472.40 77 | 607.16 79 | 690.38 91 | 718.85 88 | 636.03 85 | 1231.66 92 | 422.74 79 | 198.65 83 | 325.68 79 | 194.97 84 | 512.90 80 | 509.81 80 | 513.65 79 | 373.33 82 | 621.11 79 |
|
IB-MVS | | 750.90 3 | 552.99 79 | 511.38 83 | 601.53 78 | 606.02 86 | 735.75 90 | 688.75 88 | 1183.86 91 | 436.09 81 | 210.63 86 | 397.40 82 | 233.85 88 | 551.05 81 | 521.77 81 | 533.78 81 | 368.88 81 | 721.05 86 |
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 |
RPMNet | | | 858.01 99 | 961.99 105 | 736.69 86 | 550.05 84 | 1120.24 112 | 1212.05 114 | 463.05 71 | 485.90 87 | 550.05 114 | 580.05 102 | 890.05 135 | 559.05 82 | 1485.90 116 | 1185.90 114 | 1085.90 119 | 985.90 101 |
|
PMVS |  | 743.55 2 | 836.66 98 | 637.90 95 | 1068.55 107 | 1306.50 115 | 875.12 100 | 1166.70 113 | 2629.00 111 | 512.24 88 | 196.22 82 | 282.69 77 | 237.15 89 | 597.87 83 | 842.47 101 | 765.54 100 | 514.99 97 | 950.09 98 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
IterMVS | | | 554.60 80 | 488.63 78 | 631.57 84 | 636.90 88 | 700.80 86 | 674.70 87 | 1271.10 94 | 430.50 80 | 207.10 85 | 370.50 81 | 202.70 86 | 611.80 84 | 534.20 83 | 545.30 82 | 387.80 83 | 636.40 80 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CSCG | | | 727.26 96 | 663.25 97 | 801.94 96 | 590.65 85 | 811.25 91 | 854.12 99 | 1805.32 106 | 816.43 104 | 388.25 102 | 612.42 103 | 345.37 110 | 621.61 85 | 507.46 79 | 471.55 77 | 551.65 99 | 1078.31 108 |
|
Gipuma |  | | 587.77 84 | 529.57 84 | 655.67 85 | 637.00 89 | 733.00 89 | 749.00 90 | 1245.00 93 | 525.00 89 | 269.00 96 | 445.00 91 | 253.00 90 | 637.00 86 | 525.00 82 | 525.00 80 | 397.00 84 | 701.00 85 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
new-patchmatchnet | | | 712.65 94 | 632.59 94 | 806.05 98 | 787.79 100 | 936.25 103 | 882.47 100 | 1795.72 105 | 528.60 90 | 244.29 88 | 471.90 92 | 257.36 91 | 681.47 87 | 705.16 98 | 659.05 97 | 444.55 88 | 869.82 97 |
|
MVS_Test | | | 654.54 85 | 583.51 86 | 737.40 87 | 721.80 93 | 822.10 92 | 808.60 92 | 1494.00 96 | 542.20 91 | 259.90 89 | 441.60 84 | 257.70 92 | 689.10 88 | 620.80 89 | 617.70 84 | 451.00 89 | 782.50 88 |
|
casdiffmvs |  | | 654.54 85 | 583.51 86 | 737.40 87 | 721.80 93 | 822.10 92 | 808.60 92 | 1494.00 96 | 542.20 91 | 259.90 89 | 441.60 84 | 257.70 92 | 689.10 88 | 620.80 89 | 617.70 84 | 451.00 89 | 782.50 88 |
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
diffmvs |  | | 654.54 85 | 583.51 86 | 737.40 87 | 721.80 93 | 822.10 92 | 808.60 92 | 1494.00 96 | 542.20 91 | 259.90 89 | 441.60 84 | 257.70 92 | 689.10 88 | 620.80 89 | 617.70 84 | 451.00 89 | 782.50 88 |
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
baseline2 | | | 654.54 85 | 583.51 86 | 737.40 87 | 721.80 93 | 822.10 92 | 808.60 92 | 1494.00 96 | 542.20 91 | 259.90 89 | 441.60 84 | 257.70 92 | 689.10 88 | 620.80 89 | 617.70 84 | 451.00 89 | 782.50 88 |
|
baseline1 | | | 654.54 85 | 583.51 86 | 737.40 87 | 721.80 93 | 822.10 92 | 808.60 92 | 1494.00 96 | 542.20 91 | 259.90 89 | 441.60 84 | 257.70 92 | 689.10 88 | 620.80 89 | 617.70 84 | 451.00 89 | 782.50 88 |
|
casdiffmvs_mvg |  | | 654.54 85 | 583.51 86 | 737.40 87 | 721.80 93 | 822.10 92 | 808.60 92 | 1494.00 96 | 542.20 91 | 259.90 89 | 441.60 84 | 257.70 92 | 689.10 88 | 620.80 89 | 617.70 84 | 451.00 89 | 782.50 88 |
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
baseline | | | 654.54 85 | 583.51 86 | 737.40 87 | 721.80 93 | 822.10 92 | 808.60 92 | 1494.00 96 | 542.20 91 | 259.90 89 | 441.60 84 | 257.70 92 | 689.10 88 | 620.80 89 | 617.70 84 | 451.00 89 | 782.50 88 |
|
IterMVS-LS | | | 714.97 95 | 638.00 96 | 804.77 97 | 793.60 101 | 914.20 101 | 886.50 102 | 1612.70 103 | 588.30 98 | 285.30 97 | 491.20 94 | 278.40 100 | 759.20 95 | 677.40 97 | 681.30 98 | 491.30 96 | 835.20 95 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
ACMH+ | | 702.88 1 | 670.82 93 | 589.81 93 | 765.33 94 | 662.52 90 | 701.42 87 | 795.24 91 | 1698.33 104 | 598.81 99 | 226.55 87 | 403.02 83 | 187.13 82 | 786.82 96 | 724.80 99 | 646.56 92 | 422.52 87 | 866.95 96 |
|
PatchT | | | 878.42 100 | 785.05 100 | 987.36 100 | 1050.05 111 | 922.05 102 | 1111.05 110 | 677.05 75 | 950.05 107 | 1285.90 150 | 750.05 109 | 640.05 121 | 850.05 97 | 950.05 102 | 950.05 102 | 950.05 112 | 333.05 72 |
|
MVSTER | | | 834.63 97 | 737.03 99 | 948.49 99 | 988.86 103 | 1140.51 114 | 1129.34 112 | 1832.80 107 | 682.42 100 | 319.01 98 | 550.98 101 | 311.35 103 | 872.51 98 | 763.95 100 | 757.83 99 | 548.41 98 | 952.20 99 |
|
GG-mvs-BLEND | | | 557.53 81 | 503.49 79 | 620.58 81 | 485.90 78 | 370.41 76 | 267.30 75 | 710.53 76 | 454.42 82 | 785.72 122 | 491.23 95 | 326.12 104 | 881.92 99 | 538.27 84 | 650.05 93 | 592.08 101 | 693.94 81 |
|
gm-plane-assit | | | 551.84 78 | 503.49 79 | 608.24 80 | 411.90 74 | 370.41 76 | 267.30 75 | 710.53 76 | 454.42 82 | 785.72 122 | 491.23 95 | 326.12 104 | 881.92 99 | 538.27 84 | 650.05 93 | 592.08 101 | 693.94 81 |
|
gg-mvs-nofinetune | | | 557.53 81 | 503.49 79 | 620.58 81 | 485.90 78 | 370.41 76 | 267.30 75 | 710.53 76 | 454.42 82 | 785.72 122 | 491.23 95 | 326.12 104 | 881.92 99 | 538.27 84 | 650.05 93 | 592.08 101 | 693.94 81 |
|
CR-MVSNet | | | 557.53 81 | 503.49 79 | 620.58 81 | 485.90 78 | 370.41 76 | 267.30 75 | 710.53 76 | 454.42 82 | 785.72 122 | 491.23 95 | 326.12 104 | 881.92 99 | 538.27 84 | 650.05 93 | 592.08 101 | 693.94 81 |
|
ACMH | | 935.68 4 | 948.23 101 | 857.00 101 | 1054.67 106 | 946.00 102 | 970.00 104 | 1125.00 111 | 2467.00 109 | 823.00 105 | 330.00 100 | 622.00 104 | 211.00 87 | 891.00 103 | 970.00 104 | 1061.00 111 | 569.00 100 | 1342.00 110 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
FPMVS | | | 1356.65 114 | 1072.60 112 | 1688.04 115 | 1840.79 119 | 1397.01 117 | 1793.24 121 | 4397.86 122 | 804.66 102 | 408.78 107 | 538.65 100 | 407.36 113 | 894.84 104 | 1587.73 117 | 1286.38 116 | 792.73 111 | 1486.39 114 |
|
ambc | | | | 999.00 106 | | 999.00 104 | 999.00 105 | 999.00 103 | | 999.00 109 | 999.00 132 | 999.00 116 | 999.00 141 | 999.00 105 | 999.00 105 | 999.00 105 | 999.00 113 | 999.00 102 |
|
EPMVS | | | 999.00 103 | 999.00 106 | 999.00 101 | 999.00 104 | 999.00 105 | 999.00 103 | 999.00 84 | 999.00 109 | 999.00 132 | 999.00 116 | 999.00 141 | 999.00 105 | 999.00 105 | 999.00 105 | 999.00 113 | 999.00 102 |
|
uanet_test | | | 1000.00 104 | 1000.00 108 | 1000.00 102 | 1000.00 106 | 1000.00 107 | 1000.00 105 | 1000.00 85 | 1000.00 111 | 1000.00 134 | 1000.00 118 | 1000.00 143 | 1000.00 107 | 1000.00 107 | 1000.00 107 | 1000.00 115 | 1000.00 104 |
|
sosnet | | | 1000.00 104 | 1000.00 108 | 1000.00 102 | 1000.00 106 | 1000.00 107 | 1000.00 105 | 1000.00 85 | 1000.00 111 | 1000.00 134 | 1000.00 118 | 1000.00 143 | 1000.00 107 | 1000.00 107 | 1000.00 107 | 1000.00 115 | 1000.00 104 |
|
USDC | | | 1000.00 104 | 1000.00 108 | 1000.00 102 | 1000.00 106 | 1000.00 107 | 1000.00 105 | 1000.00 85 | 1000.00 111 | 1000.00 134 | 1000.00 118 | 1000.00 143 | 1000.00 107 | 1000.00 107 | 1000.00 107 | 1000.00 115 | 1000.00 104 |
|
TinyColmap | | | 1000.00 104 | 1000.00 108 | 1000.00 102 | 1000.00 106 | 1000.00 107 | 1000.00 105 | 1000.00 85 | 1000.00 111 | 1000.00 134 | 1000.00 118 | 1000.00 143 | 1000.00 107 | 1000.00 107 | 1000.00 107 | 1000.00 115 | 1000.00 104 |
|
MVS_111021_LR | | | 1055.24 109 | 916.36 103 | 1217.27 109 | 1129.93 113 | 1268.26 115 | 1313.88 116 | 2635.76 112 | 923.19 106 | 396.92 106 | 704.88 107 | 327.66 108 | 1136.32 111 | 965.38 103 | 946.95 101 | 690.83 109 | 1278.20 109 |
|
ACMM | | 1129.18 5 | 1047.56 108 | 912.90 102 | 1204.67 108 | 1040.21 110 | 1016.71 111 | 1105.32 109 | 2918.67 114 | 813.91 103 | 327.22 99 | 665.34 105 | 267.72 99 | 1192.58 112 | 1091.35 112 | 991.88 104 | 643.99 106 | 1543.40 117 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
MSLP-MVS++ | | | 993.91 102 | 732.21 98 | 1299.24 111 | 1631.22 118 | 1345.26 116 | 1480.05 117 | 2524.20 110 | 735.65 101 | 463.57 112 | 499.89 99 | 302.78 101 | 1292.66 113 | 675.99 96 | 612.79 83 | 403.71 85 | 953.11 100 |
|
TSAR-MVS + GP. | | | 1239.27 111 | 1094.74 114 | 1407.89 112 | 1220.99 114 | 1845.47 121 | 1680.98 120 | 3191.81 115 | 1098.41 115 | 362.98 101 | 679.12 106 | 339.31 109 | 1323.06 114 | 1173.24 115 | 1093.83 112 | 667.49 107 | 1433.78 113 |
|
DeepC-MVS_fast | | 2081.98 8 | 1311.87 113 | 1172.50 115 | 1474.47 113 | 1411.78 116 | 1397.23 118 | 1519.03 118 | 3401.40 118 | 1201.29 116 | 417.90 108 | 801.95 110 | 976.25 140 | 1409.37 115 | 1114.52 113 | 1201.12 115 | 687.33 108 | 1515.14 116 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
ACMMPR | | | 1265.65 112 | 1083.59 113 | 1478.06 114 | 1441.06 117 | 1438.61 119 | 1540.68 119 | 3284.05 117 | 1219.68 117 | 458.81 111 | 803.22 111 | 346.91 111 | 1421.66 116 | 1126.11 114 | 1150.51 113 | 722.08 110 | 1500.09 115 |
|
ACMP | | 1170.86 6 | 1091.37 110 | 943.23 104 | 1264.21 110 | 1112.10 112 | 1138.94 113 | 1276.90 115 | 2675.36 113 | 989.62 108 | 426.15 110 | 742.77 108 | 349.09 112 | 1454.51 117 | 1047.36 111 | 969.90 103 | 640.22 105 | 1364.94 112 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
CMPMVS |  | 2507.20 10 | 2083.60 117 | 1983.13 121 | 2200.81 118 | 2582.70 129 | 3097.30 132 | 2332.10 123 | 4364.50 121 | 1390.00 118 | 653.68 118 | 997.75 115 | 742.65 128 | 1880.20 118 | 2298.80 129 | 2413.60 133 | 1391.70 129 | 2941.80 126 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
OpenMVS |  | 2049.89 7 | 1895.92 115 | 1721.29 116 | 2099.67 116 | 2064.00 120 | 2419.00 124 | 2138.00 122 | 4572.00 123 | 1541.00 122 | 548.00 113 | 937.00 113 | 580.00 118 | 1983.00 119 | 1971.00 123 | 1993.00 121 | 1293.00 125 | 2608.00 121 |
|
PCF-MVS | | 3738.24 13 | 2129.60 118 | 1746.89 117 | 2576.10 124 | 2258.22 125 | 2263.67 122 | 2650.06 129 | 6361.78 135 | 1676.15 124 | 695.66 119 | 1209.77 123 | 737.88 125 | 2237.28 120 | 2083.02 125 | 1835.31 117 | 1253.58 124 | 2422.45 119 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
Vis-MVSNet |  | | 2390.77 126 | 1976.57 120 | 2874.00 132 | 2644.00 131 | 3248.00 135 | 3040.00 132 | 7371.00 139 | 1627.00 123 | 421.00 109 | 1200.00 122 | 622.00 120 | 2251.00 121 | 2326.00 130 | 2052.00 125 | 1517.00 134 | 2761.00 125 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
CHOSEN 280x420 | | | 2225.10 119 | 1992.66 122 | 2496.28 119 | 2192.10 122 | 2641.81 126 | 2621.41 126 | 5345.34 127 | 2116.46 130 | 1002.26 138 | 1683.84 133 | 837.43 129 | 2338.65 122 | 1920.94 120 | 2020.28 122 | 1477.92 131 | 2727.86 122 |
|
CHOSEN 1792x2688 | | | 2225.10 119 | 1992.66 122 | 2496.28 119 | 2192.10 122 | 2641.81 126 | 2621.41 126 | 5345.34 127 | 2116.46 130 | 1002.26 138 | 1683.84 133 | 837.43 129 | 2338.65 122 | 1920.94 120 | 2020.28 122 | 1477.92 131 | 2727.86 122 |
|
HyFIR lowres test | | | 2225.10 119 | 1992.66 122 | 2496.28 119 | 2192.10 122 | 2641.81 126 | 2621.41 126 | 5345.34 127 | 2116.46 130 | 1002.26 138 | 1683.84 133 | 837.43 129 | 2338.65 122 | 1920.94 120 | 2020.28 122 | 1477.92 131 | 2727.86 122 |
|
tpm cat1 | | | 2652.13 128 | 2606.66 133 | 2705.18 127 | 3151.86 135 | 6902.39 152 | 3612.17 139 | 5463.78 130 | 1457.76 119 | 391.31 103 | 1358.61 125 | 446.44 114 | 2360.09 125 | 2296.48 126 | 2290.90 128 | 1251.84 121 | 3494.04 133 |
|
CostFormer | | | 2652.13 128 | 2606.66 133 | 2705.18 127 | 3151.86 135 | 6902.39 152 | 3612.17 139 | 5463.78 130 | 1457.76 119 | 391.31 103 | 1358.61 125 | 446.44 114 | 2360.09 125 | 2296.48 126 | 2290.90 128 | 1251.84 121 | 3494.04 133 |
|
tpm | | | 2652.13 128 | 2606.66 133 | 2705.18 127 | 3151.86 135 | 6902.39 152 | 3612.17 139 | 5463.78 130 | 1457.76 119 | 391.31 103 | 1358.61 125 | 446.44 114 | 2360.09 125 | 2296.48 126 | 2290.90 128 | 1251.84 121 | 3494.04 133 |
|
MVS-HIRNet | | | 1975.98 116 | 1797.02 118 | 2184.76 117 | 2111.07 121 | 2443.03 125 | 2503.43 124 | 4063.71 119 | 1684.46 125 | 711.34 120 | 1456.05 128 | 848.70 133 | 2396.26 128 | 1900.93 118 | 1915.01 119 | 1322.75 126 | 2330.99 118 |
|
tpmrst | | | 2688.71 131 | 2604.46 132 | 2787.00 130 | 2472.96 127 | 3190.36 133 | 3313.69 135 | 5003.06 125 | 1837.26 126 | 1097.38 144 | 1721.89 137 | 1012.20 148 | 2415.09 129 | 2970.27 144 | 2736.80 140 | 2419.79 149 | 4762.44 146 |
|
3Dnovator | | 2220.89 9 | 2303.77 123 | 2037.00 125 | 2615.00 125 | 2617.00 130 | 2967.00 131 | 2616.00 125 | 5882.00 133 | 1928.00 128 | 589.00 115 | 907.00 112 | 528.00 117 | 2443.00 130 | 2370.00 131 | 2392.00 132 | 1543.00 135 | 3167.00 128 |
|
AdaColmap |  | | 2288.90 122 | 2080.73 126 | 2531.77 122 | 2485.98 128 | 2757.87 129 | 2974.47 131 | 4914.62 124 | 2255.54 133 | 804.63 126 | 1611.14 132 | 842.30 132 | 2657.83 131 | 2056.92 124 | 1960.62 120 | 1353.09 128 | 3080.73 127 |
|
SD-MVS | | | 2324.36 124 | 1910.97 119 | 2806.65 131 | 2945.31 133 | 3305.03 137 | 3267.51 134 | 5962.25 134 | 1896.37 127 | 848.15 127 | 1224.25 124 | 661.55 122 | 2707.30 132 | 1913.40 119 | 1871.41 118 | 1109.38 120 | 2504.79 120 |
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
DeepPCF-MVS | | 3033.31 11 | 2362.79 125 | 2183.15 127 | 2572.38 123 | 2349.28 126 | 2383.16 123 | 2740.92 130 | 5212.97 126 | 2043.02 129 | 751.44 121 | 1466.47 129 | 1327.42 153 | 2904.33 133 | 2573.45 136 | 2227.77 126 | 1475.33 130 | 3260.73 130 |
|
TAPA-MVS | | 5463.68 16 | 2764.21 133 | 2434.28 129 | 3149.14 134 | 3645.15 143 | 3257.60 136 | 3452.71 138 | 6526.32 136 | 2591.85 138 | 651.36 117 | 1964.77 145 | 947.44 138 | 2924.41 134 | 2523.36 134 | 2452.68 134 | 1694.86 141 | 3302.28 131 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
SteuartSystems-ACMMP | | | 2615.00 127 | 2242.57 128 | 3049.50 133 | 2828.00 132 | 2801.00 130 | 3323.00 136 | 6648.00 137 | 2491.00 135 | 1023.00 141 | 1605.00 131 | 697.00 123 | 2926.00 135 | 2502.00 133 | 2279.00 127 | 1549.00 136 | 3323.00 132 |
Skip Steuart: Steuart Systems R&D Blog. |
COLMAP_ROB |  | 3798.28 14 | 2690.62 132 | 2704.29 139 | 2674.67 126 | 3138.00 134 | 3522.00 140 | 3826.00 144 | 3219.00 116 | 2702.00 140 | 1138.00 148 | 2260.00 147 | 1212.00 152 | 2968.00 136 | 2936.00 143 | 2571.00 136 | 1759.00 144 | 3727.00 140 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
3Dnovator+ | | 3173.67 12 | 2938.77 134 | 2519.43 130 | 3428.00 135 | 3256.00 138 | 3708.00 141 | 3443.00 137 | 7516.00 140 | 2525.00 136 | 1121.00 145 | 972.00 114 | 925.00 137 | 3192.00 137 | 2899.00 139 | 2897.00 143 | 2040.00 146 | 3710.00 139 |
|
DPM-MVS | | | 3051.54 135 | 2661.57 136 | 3506.50 136 | 3532.00 141 | 3332.00 138 | 3744.00 142 | 7839.00 143 | 2772.00 141 | 985.00 130 | 1919.00 143 | 738.00 126 | 3319.00 138 | 2901.00 140 | 2715.00 138 | 1620.00 139 | 4254.00 143 |
|
OPM-MVS | | | 3051.54 135 | 2661.57 136 | 3506.50 136 | 3532.00 141 | 3332.00 138 | 3744.00 142 | 7839.00 143 | 2772.00 141 | 985.00 130 | 1919.00 143 | 738.00 126 | 3319.00 138 | 2901.00 140 | 2715.00 138 | 1620.00 139 | 4254.00 143 |
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
TSAR-MVS + ACMM | | | 3184.92 137 | 2679.45 138 | 3774.64 142 | 3302.51 139 | 4168.07 143 | 4256.74 146 | 8947.31 146 | 2634.53 139 | 1026.25 142 | 1723.72 138 | 1043.87 149 | 3387.29 140 | 2794.29 137 | 2687.41 137 | 1727.73 143 | 3704.25 138 |
|
MVS_111021_HR | | | 3192.50 138 | 2773.91 140 | 3680.86 139 | 3515.58 140 | 3815.81 142 | 4020.82 145 | 7766.11 141 | 2775.23 143 | 1300.96 153 | 2221.19 146 | 1117.25 151 | 3420.01 141 | 2873.98 138 | 2835.60 141 | 2061.69 147 | 3778.31 141 |
|
DVP-MVS |  | | 3258.34 140 | 2529.80 131 | 4108.31 143 | 4005.62 146 | 4693.14 147 | 4737.88 150 | 10195.40 150 | 2408.38 134 | 941.44 128 | 1505.82 130 | 734.32 124 | 3438.27 142 | 2449.15 132 | 2386.04 131 | 1331.25 127 | 3531.75 137 |
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025 |
TSAR-MVS + MP. | | | 4216.58 145 | 4674.68 147 | 3682.13 140 | 3752.63 144 | 4315.48 145 | 4264.77 147 | 7782.51 142 | 2583.81 137 | 1125.68 146 | 16722.30 157 | 882.60 134 | 3589.10 143 | 2523.80 135 | 2486.45 135 | 1578.08 137 | 3208.34 129 |
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
PLC |  | 4785.50 15 | 3275.54 141 | 3030.86 143 | 3561.00 138 | 4093.00 147 | 4596.00 146 | 5174.00 153 | 4267.00 120 | 3570.00 148 | 1495.00 154 | 2940.00 150 | 1594.00 155 | 3947.00 144 | 3817.00 148 | 3343.00 147 | 2390.00 148 | 1356.00 111 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
SED-MVS | | | 3539.47 142 | 2909.05 142 | 4274.95 145 | 4528.93 149 | 4986.51 148 | 5003.31 152 | 8985.31 147 | 2904.53 145 | 1294.24 152 | 1839.12 141 | 1003.69 147 | 4135.17 145 | 2926.32 142 | 2897.04 144 | 1702.75 142 | 3806.13 142 |
|
DVP-MVS++ | | | 3961.71 144 | 3092.38 144 | 4975.92 147 | 4850.81 152 | 5691.32 150 | 5760.96 154 | 12294.80 152 | 2980.85 146 | 1135.72 147 | 1840.86 142 | 949.63 139 | 4197.95 146 | 3019.10 146 | 2873.21 142 | 1615.27 138 | 4291.72 145 |
|
MSP-MVS | | | 3241.28 139 | 2825.26 141 | 3726.65 141 | 3945.31 145 | 4305.03 144 | 4267.51 148 | 6962.25 138 | 2896.37 144 | 1068.15 143 | 1824.25 140 | 1061.55 150 | 4307.30 147 | 3013.40 145 | 3171.41 145 | 1809.38 145 | 3504.79 136 |
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
MAR-MVS | | | 3961.62 143 | 3726.55 145 | 4235.86 144 | 4107.62 148 | 6522.83 151 | 4862.93 151 | 7956.64 145 | 3380.98 147 | 1665.13 155 | 3231.54 151 | 1650.34 156 | 4357.29 148 | 3198.61 147 | 3209.42 146 | 2465.52 150 | 4892.15 147 |
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 |
OMC-MVS | | | 4439.92 146 | 3906.78 146 | 5061.92 148 | 4748.70 151 | 5679.38 149 | 5855.03 155 | 9923.00 148 | 4023.36 151 | 1740.95 156 | 1693.78 136 | 1693.78 157 | 4658.45 149 | 4254.77 149 | 4135.74 149 | 3445.36 152 | 5866.63 149 |
|
DeepC-MVS | | 5581.15 17 | 4824.92 147 | 5020.53 148 | 4596.70 146 | 4714.52 150 | 3205.14 134 | 3108.50 133 | 10234.20 151 | 3823.34 150 | 1885.23 157 | 9002.42 154 | 2045.34 159 | 4715.23 150 | 7652.65 152 | 3993.41 148 | 2922.51 151 | 5421.41 148 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
MVE |  | 11086.50 18 | 13278.69 152 | 12303.57 153 | 14416.33 153 | 9890.00 156 | 17107.00 159 | 4634.00 149 | 59884.00 158 | 3666.00 149 | 966.00 129 | 1792.00 139 | 896.00 136 | 5680.00 151 | 20677.00 157 | 23030.00 156 | 5444.00 156 | 18957.00 154 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
TSAR-MVS + COLMAP | | | 6088.23 148 | 5315.97 149 | 6989.21 149 | 6522.51 153 | 8025.15 155 | 7938.31 156 | 15276.20 153 | 5401.97 153 | 1914.31 158 | 3802.65 152 | 1979.48 158 | 6704.11 152 | 5217.07 150 | 5137.16 150 | 3579.82 153 | 7648.29 150 |
|
LS3D | | | 7481.83 150 | 6596.02 151 | 8515.28 151 | 9871.71 155 | 9844.03 157 | 9225.16 158 | 18308.40 155 | 5364.90 152 | 1267.41 149 | 2381.61 148 | 1512.79 154 | 7225.72 153 | 8875.69 153 | 9516.28 152 | 5193.26 155 | 8676.83 151 |
|
CLD-MVS | | | 6986.85 149 | 6222.57 150 | 7878.50 150 | 7707.00 154 | 8884.00 156 | 9025.00 157 | 15607.00 154 | 6148.00 154 | 2571.00 159 | 4822.00 153 | 2082.00 160 | 7875.00 154 | 6389.00 151 | 6449.00 151 | 4486.00 154 | 8784.00 152 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
ACMMP |  | | 9999.00 151 | 9999.00 152 | 9999.00 152 | 9999.00 157 | 9999.00 158 | 9999.00 159 | 9999.00 149 | 9999.00 155 | 9999.00 161 | 9999.00 155 | 9999.00 162 | 9999.00 155 | 9999.00 154 | 9999.00 153 | 9999.00 157 | 9999.00 153 |
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 | | | 17763.08 153 | 15907.71 154 | 19927.67 154 | 19334.00 159 | 22387.00 160 | 22896.00 160 | 38668.00 156 | 15772.00 156 | 7632.00 160 | 13229.00 156 | 7123.00 161 | 19334.00 156 | 15773.00 155 | 15700.00 154 | 11702.00 158 | 21370.00 155 |
|
LTVRE_ROB | | 38377.89 19 | 49656.08 155 | 18936.71 155 | 85495.33 156 | 306852.00 162 | 22526.00 161 | 29206.00 161 | 112098.00 160 | 30022.00 157 | 17348.00 163 | 2824.00 149 | 11239.00 163 | 29457.00 157 | 20569.00 156 | 19941.00 155 | 18011.00 159 | 25436.00 156 |
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 | | | 31705.85 154 | 29167.57 156 | 34667.17 155 | 44079.00 160 | 28314.00 162 | 44778.00 162 | 43648.00 157 | 31045.00 158 | 14849.00 162 | 26179.00 158 | 13752.00 164 | 38088.00 158 | 30859.00 158 | 30835.00 157 | 22561.00 160 | 43189.00 157 |
|
PHI-MVS | | | 99999.00 156 | 99999.00 157 | 99999.00 157 | 99999.00 161 | 99999.00 163 | 99999.00 163 | 99999.00 159 | 99999.00 159 | 99999.00 164 | 99999.00 159 | 99999.00 165 | 99999.00 159 | 99999.00 159 | 99999.00 158 | 99999.00 161 | 99999.00 158 |
|
test2506 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
test1111 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
ECVR-MVS |  | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
ET-MVSNet_ETH3D | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
UniMVSNet_ETH3D | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
thisisatest0530 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
Anonymous202405211 | | | | 10000000.00 158 | | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
DCV-MVSNet | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
tttt0517 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
thisisatest0515 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
DPE-MVS |  | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
thres100view900 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
tfpnnormal | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
tfpn200view9 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
IterMVS-SCA-FT | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
pmmvs6 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
pmmvs5 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
Anonymous20231211 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
pmmvs-eth3d | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
Anonymous20231206 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
SCA | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
canonicalmvs | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
anonymousdsp | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
FC-MVSNet-train | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
UA-Net | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
FC-MVSNet-test | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
sosnet-low-res | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
DI_MVS_plusplus_trai | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
HPM-MVS++ |  | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
pm-mvs1 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
APDe-MVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
pmmvs4 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
test-LLR | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
TESTMET0.1,1 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
test-mter | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
testgi | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
test20.03 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
thres600view7 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
MP-MVS |  | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
testmvs | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
thres400 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
test123 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
thres200 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
test0.0.03 1 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
pmmvs3 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
EMVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
E-PMN | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
PGM-MVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
MCST-MVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
PMMVS2 | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
PM-MVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
LGP-MVS_train | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
EPNet_dtu | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
EPNet | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
CNVR-MVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
NCCC | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
CP-MVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
CPTT-MVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
HQP-MVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
IS_MVSNet | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
Vis-MVSNet (Re-imp) | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
PatchMatch-RL | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
TDRefinement | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
EPP-MVSNet | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
PMMVS | | | 10000000.00 157 | 10000000.00 158 | 10000000.00 158 | 10000000.00 163 | 10000000.00 164 | 10000000.00 164 | 10000000.00 161 | 10000000.00 160 | 10000000.00 165 | 10000000.00 160 | 10000000.00 166 | 10000000.00 160 | 10000000.00 160 | 10000000.00 159 | 10000000.00 162 | 10000000.00 159 |
|
APD-MVS |  | | 1000000000.00 221 | 1000000000.00 223 | 1000000000.00 222 | 1000000000.00 229 | 1000000000.00 229 | 1000000000.00 230 | 1000000000.00 226 | 1000000000.00 226 | 1000000000.00 230 | 1000000000.00 225 | 1000000000.00 232 | 1000000000.00 225 | 1000000000.00 225 | 1000000000.00 224 | 1000000000.00 227 | 1000000000.00 224 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
RE-MVS-def | | | | | | | | | | | 610.10 116 | | | | | | | |
|
9.14 | | | | | | | | | | | | | 0.00 1 | | | | | |
|
SR-MVS | | | | | | 610.10 87 | | | 610.10 74 | | | | 610.10 119 | | | | | |
|
our_test_3 | | | | | | 9999.00 157 | 99.00 58 | 99.00 57 | | | | | | | | | | |
|
MTAPA | | | | | | | | | | | 41.98 58 | | 28.43 53 | | | | | |
|
MTMP | | | | | | | | | | | 10000000.00 165 | | 31.71 55 | | | | | |
|
Patchmatch-RL test | | | | | | | | 10000000.00 164 | | | | | | | | | | |
|
XVS | | | | | | 52.20 51 | 52.20 52 | 52.20 52 | | | 52.20 60 | | 52.20 70 | | | | 52.20 54 | |
|
X-MVStestdata | | | | | | 52.20 51 | 52.20 52 | 52.20 52 | | | 52.20 60 | | 52.20 70 | | | | 52.20 54 | |
|
mPP-MVS | | | | | | 10000000.00 163 | | | | | | | 10000000.00 166 | | | | | |
|
NP-MVS | | | | | | | | | | 10000000.00 160 | | | | | | | | |
|
Patchmtry | | | | | | | 1825.90 120 | 885.90 101 | 1405.90 95 | | 1285.90 150 | | | | | | | |
|