This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
onestephybrid010.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmamba0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybridnocas070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
Casviewmamba0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuonlycased0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuonly0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuplus0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybridcas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybrid0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
casdiffseed4146921470.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
gbinet_0.2-2-1-0.020.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.3-1-1-0.0150.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
wanda-best-256-5120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E5new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-blended-shiyan70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E6new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_blend_shiyan50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blend_shiyan40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E3new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt090.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt130.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewcassd2359sk110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmacassd2359aftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmsd2359difaftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
EIA-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
ETV-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
CS-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SMA-MVScopyleft0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 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+-dtu0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
Effi-MVS+-dtu0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SPE-MVS-test0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
EC-MVSNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
v1441920.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v19219200.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v11920.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v11440.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v1480.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v7n0.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v12400.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v80.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v100.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v2v4820.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
V420.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
GA-MVS0.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
Fast-Effi-MVS+0.41 690.41 690.41 690.41 690.41 690.41 690.41 690.41 690.41 690.41 690.41 700.41 690.41 690.41 690.41 690.41 69
Effi-MVS+0.53 700.53 700.53 700.53 700.53 700.53 700.53 700.53 700.53 700.53 700.53 710.53 700.53 700.53 700.53 700.53 70
CDS-MVSNet0.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 720.88 710.88 710.88 710.88 710.88 71
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 720.88 710.88 710.88 710.88 710.88 71
MDA-MVSNet-bldmvs1.20 731.20 731.20 731.20 731.20 741.20 741.20 741.20 741.20 741.20 741.20 751.20 741.20 741.20 731.20 741.20 74
CVMVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
EU-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
PS-CasMVS1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
UniMVSNet_NR-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
PEN-MVS1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
TransMVSNet (Re)1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
DTE-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
DU-MVS1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
UniMVSNet (Re)1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
CP-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
WR-MVS_H1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
WR-MVS1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
NR-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
Baseline_NR-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
TranMVSNet+NR-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
CDPH-MVS6.66 896.66 896.66 896.66 896.66 906.66 906.66 906.66 906.66 906.66 906.66 916.66 906.66 906.66 896.66 906.66 90
MDTV_nov1_ep13_2view9.99 909.99 909.99 909.99 909.99 919.99 919.99 919.99 919.99 939.99 919.99 949.99 919.99 919.99 909.99 919.99 91
MDTV_nov1_ep139.99 909.99 909.99 909.99 909.99 919.99 919.99 919.99 919.99 939.99 919.99 949.99 919.99 919.99 909.99 919.99 91
test_method18.19 9215.64 9221.17 9219.00 9222.00 9322.50 9338.00 9515.50 937.50 9113.00 937.00 9219.00 9415.50 9415.50 9221.00 9321.00 93
GeoE20.05 9318.83 9321.47 9325.60 9329.60 9422.50 9331.20 9319.10 948.30 9213.50 949.40 9317.80 9314.10 9317.50 9323.40 9428.60 94
VLMVS41.88 9840.52 9743.48 9731.38 9437.72 9638.61 9748.42 9741.61 9849.31 10534.00 9748.23 10643.70 10137.45 9743.31 9749.45 10141.31 99
MVS_baseline41.14 9743.44 9838.45 9436.14 9548.90 9833.61 9532.04 9442.34 9949.55 10644.89 9946.41 10531.43 9549.63 9933.95 9447.95 10037.95 98
GBi-Net39.84 9435.75 9444.63 9843.04 9649.88 9951.06 9986.51 10035.34 9617.20 9529.83 9515.85 9643.43 10035.35 9635.70 9526.51 9748.28 100
VLMVS_CLIP40.04 9538.53 9541.81 9543.24 9737.14 9549.61 9848.89 9835.08 9543.13 10235.73 9842.64 10434.76 9930.35 9539.03 9631.23 9849.74 101
MVS_clip40.52 9639.14 9642.13 9648.43 9847.91 9735.00 9647.89 9638.88 9744.17 10432.84 9631.96 10032.98 9641.78 9844.77 9844.33 9935.81 97
XVS52.20 9952.20 10052.20 10052.20 10752.20 11752.20 102
X-MVStestdata52.20 9952.20 10052.20 10052.20 10752.20 11752.20 102
X-MVS52.20 9952.20 9952.20 9952.20 9952.20 10052.20 10052.20 9952.20 10052.20 10752.20 10052.20 11752.20 10252.20 10052.20 9952.20 10252.20 102
new_pmnet75.00 10074.67 10075.39 10085.42 10296.03 10498.77 103173.23 10169.57 10136.19 9656.93 101117.43 12332.98 9685.38 10868.41 10025.74 9528.95 95
N_pmnet75.00 10074.67 10075.39 10085.42 10296.03 10498.77 103173.23 10169.57 10136.19 9656.93 101117.43 12332.98 9685.38 10868.41 10025.74 9528.95 95
CANet100.44 10293.07 102109.04 102111.90 104131.06 108119.40 106222.42 11080.48 10336.93 9870.80 10340.92 10189.90 103100.59 110101.42 10373.68 106126.25 103
CANet_DTU100.44 10293.07 102109.04 102111.90 104131.06 108119.40 106222.42 11080.48 10336.93 9870.80 10340.92 10189.90 103100.59 110101.42 10373.68 106126.25 103
UGNet100.44 10293.07 102109.04 102111.90 104131.06 108119.40 106222.42 11080.48 10336.93 9870.80 10340.92 10189.90 103100.59 110101.42 10373.68 106126.25 103
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
ACMMP_NAP119.64 112106.58 105134.88 112123.82 107127.44 107145.38 109298.43 117116.16 11643.72 10377.82 10629.30 98131.24 113117.82 116106.21 10666.69 105171.29 116
FMVSNet5116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
test1116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
FMVSNet3116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
FMVSNet2116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
FMVSNet1116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
MIMVSNet1116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
MIMVSNet116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
PVSNet_Blended_VisFu129.22 113115.76 113144.92 113140.60 115162.80 118166.50 117281.20 114114.70 10655.50 11096.20 10751.80 114140.60 114114.70 113114.70 11485.10 109155.40 106
PVSNet_BlendedMVS129.22 113115.76 113144.92 113140.60 115162.80 118166.50 117281.20 114114.70 10655.50 11096.20 10751.80 114140.60 114114.70 113114.70 11485.10 109155.40 106
PVSNet_Blended129.22 113115.76 113144.92 113140.60 115162.80 118166.50 117281.20 114114.70 10655.50 11096.20 10751.80 114140.60 114114.70 113114.70 11485.10 109155.40 106
FA-MVS(training)203.85 116180.15 116231.50 116222.82 118259.22 121245.99 120478.61 119172.32 11982.03 121130.35 11772.14 120221.74 118190.35 117197.39 117137.78 120239.26 117
SixPastTwentyTwo210.90 117189.75 117235.58 117225.41 119284.88 122267.17 121485.88 120164.28 11876.51 120137.62 11876.69 121214.49 117206.28 118208.00 118144.02 121250.52 118
tmp_tt299.50 118365.00 12054.00 103649.00 135241.00 113159.00 117204.00 132479.00 142308.00 150243.00 119246.00 11982.00 10295.00 119
WB-MVS316.93 118277.98 118362.37 119386.49 121371.32 127360.90 126844.52 128232.58 120102.36 122215.57 120104.13 122287.33 120336.96 120318.49 119192.62 122366.78 120
PatchmatchNet2copyleft400.00 122400.00 128400.00 127
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
gm-plane-assit551.84 126503.49 127608.24 128411.90 123370.41 123267.30 122710.53 123454.42 130785.72 171491.23 144326.12 152881.92 148538.27 133650.05 142592.08 150693.94 130
RPSCF376.53 119341.80 119417.05 120418.60 124457.01 129467.46 128825.25 127336.12 122159.32 126260.40 122151.13 127386.94 121364.25 121352.10 120244.72 123471.62 122
EG-PatchMatch MVS402.98 120364.36 120448.05 121435.50 125473.00 130489.60 129910.20 129338.60 123127.30 123205.10 119123.50 125434.60 123450.70 126447.70 124291.10 125511.90 123
MS-PatchMatch438.85 121388.71 121497.33 122479.00 126527.00 131558.00 132988.00 130379.00 125174.00 128278.00 124162.00 128494.00 127418.00 123412.00 122291.00 124545.00 126
GG-mvs-BLEND557.53 129503.49 127620.58 129485.90 127370.41 123267.30 122710.53 123454.42 130785.72 171491.23 144326.12 152881.92 148538.27 133650.05 142592.08 150693.94 130
gg-mvs-nofinetune557.53 129503.49 127620.58 129485.90 127370.41 123267.30 122710.53 123454.42 130785.72 171491.23 144326.12 152881.92 148538.27 133650.05 142592.08 150693.94 130
CR-MVSNet557.53 129503.49 127620.58 129485.90 127370.41 123267.30 122710.53 123454.42 130785.72 171491.23 144326.12 152881.92 148538.27 133650.05 142592.08 150693.94 130
DELS-MVS458.84 124423.31 124500.30 123511.99 130616.59 133578.86 133991.10 131355.79 124158.99 125319.09 126190.62 131453.64 126437.73 125439.52 123307.20 126603.81 127
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
PatchmatchNetpermissive452.63 123410.20 123502.13 124520.70 131614.40 132546.00 1301018.80 138379.00 125167.50 127277.10 123169.40 129437.10 124437.10 124457.50 125322.70 127536.90 125
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ADS-MVSNet452.36 122406.02 122506.42 125534.76 132628.22 134552.79 1311009.99 137333.98 121149.26 124246.67 121149.01 126447.03 125465.35 127501.18 127344.69 128517.75 124
RPMNet858.01 147961.99 153736.69 134550.05 1331120.24 1611212.05 163463.05 118485.90 135550.05 163580.05 151890.05 184559.05 1311485.90 1651185.90 1631085.90 168985.90 150
CSCG727.26 144663.25 145801.94 144590.65 134811.25 140854.12 1481805.32 154816.43 152388.25 150612.42 152345.37 158621.61 134507.46 128471.55 126551.65 1481078.31 157
IB-MVS750.90 3552.99 127511.38 131601.53 126606.02 135735.75 139688.75 1371183.86 139436.09 129210.63 134397.40 130233.85 136551.05 130521.77 130533.78 130368.88 129721.05 135
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
SR-MVS610.10 136610.10 121610.10 168
IterMVS554.60 128488.63 126631.57 132636.90 137700.80 135674.70 1361271.10 142430.50 128207.10 133370.50 129202.70 134611.80 133534.20 132545.30 131387.80 131636.40 129
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Gipumacopyleft587.77 132529.57 132655.67 133637.00 138733.00 138749.00 1391245.00 141525.00 137269.00 144445.00 140253.00 138637.00 135525.00 131525.00 129397.00 132701.00 134
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
ACMH+702.88 1670.82 141589.81 141765.33 142662.52 139701.42 136795.24 1401698.33 152598.81 147226.55 135403.02 132187.13 130786.82 145724.80 148646.56 141422.52 136866.95 145
dps534.60 125472.40 125607.16 127690.38 140718.85 137636.03 1341231.66 140422.74 127198.65 131325.68 127194.97 132512.90 129509.81 129513.65 128373.33 130621.11 128
pmnet_mix02659.48 140547.83 133789.74 143720.05 141846.87 148740.59 1382153.63 156456.15 134191.24 129336.49 128200.39 133511.90 128608.74 137634.29 140421.05 135751.91 136
MVS_Test654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
casdiffmvspermissive654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
diffmvspermissive654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline2654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
baseline1654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
casdiffmvs_mvgpermissive654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
new-patchmatchnet712.65 142632.59 142806.05 146787.79 149936.25 152882.47 1491795.72 153528.60 138244.29 136471.90 141257.36 139681.47 136705.16 147659.05 146444.55 137869.82 146
IterMVS-LS714.97 143638.00 144804.77 145793.60 150914.20 150886.50 1511612.70 151588.30 146285.30 145491.20 143278.40 148759.20 144677.40 146681.30 147491.30 145835.20 144
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH935.68 4948.23 149857.00 1491054.67 154946.00 151970.00 1531125.00 1602467.00 157823.00 153330.00 148622.00 153211.00 135891.00 152970.00 1531061.00 160569.00 1491342.00 159
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVSTER834.63 145737.03 147948.49 147988.86 1521140.51 1631129.34 1611832.80 155682.42 148319.01 146550.98 150311.35 151872.51 147763.95 149757.83 148548.41 147952.20 148
ambc999.00 154999.00 153999.00 154999.00 152999.00 157999.00 181999.00 165999.00 190999.00 154999.00 154999.00 154999.00 162999.00 151
EPMVS999.00 151999.00 154999.00 149999.00 153999.00 154999.00 152999.00 132999.00 157999.00 181999.00 165999.00 190999.00 154999.00 154999.00 154999.00 162999.00 151
uanet_test1000.00 1521000.00 1561000.00 1501000.00 1551000.00 1561000.00 1541000.00 1331000.00 1591000.00 1831000.00 1671000.00 1921000.00 1561000.00 1561000.00 1561000.00 1641000.00 153
sosnet1000.00 1521000.00 1561000.00 1501000.00 1551000.00 1561000.00 1541000.00 1331000.00 1591000.00 1831000.00 1671000.00 1921000.00 1561000.00 1561000.00 1561000.00 1641000.00 153
USDC1000.00 1521000.00 1561000.00 1501000.00 1551000.00 1561000.00 1541000.00 1331000.00 1591000.00 1831000.00 1671000.00 1921000.00 1561000.00 1561000.00 1561000.00 1641000.00 153
TinyColmap1000.00 1521000.00 1561000.00 1501000.00 1551000.00 1561000.00 1541000.00 1331000.00 1591000.00 1831000.00 1671000.00 1921000.00 1561000.00 1561000.00 1561000.00 1641000.00 153
ACMM1129.18 51047.56 156912.90 1501204.67 1561040.21 1591016.71 1601105.32 1582918.67 162813.91 151327.22 147665.34 154267.72 1471192.58 1611091.35 161991.88 153643.99 1551543.40 166
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PatchT878.42 148785.05 148987.36 1481050.05 160922.05 1511111.05 159677.05 122950.05 1551285.90 199750.05 158640.05 170850.05 146950.05 151950.05 151950.05 161333.05 119
ACMP1170.86 61091.37 158943.23 1521264.21 1581112.10 1611138.94 1621276.90 1642675.36 161989.62 156426.15 159742.77 157349.09 1601454.51 1661047.36 160969.90 152640.22 1541364.94 161
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
MVS_111021_LR1055.24 157916.36 1511217.27 1571129.93 1621268.26 1641313.88 1652635.76 160923.19 154396.92 154704.88 156327.66 1561136.32 160965.38 152946.95 150690.83 1581278.20 158
TSAR-MVS + GP.1239.27 1591094.74 1621407.89 1601220.99 1631845.47 1701680.98 1693191.81 1651098.41 163362.98 149679.12 155339.31 1571323.06 1631173.24 1641093.83 161667.49 1561433.78 162
PMVScopyleft743.55 2836.66 146637.90 1431068.55 1551306.50 164875.12 1491166.70 1622629.00 159512.24 136196.22 130282.69 125237.15 137597.87 132842.47 150765.54 149514.99 146950.09 147
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepC-MVS_fast2081.98 81311.87 1611172.50 1631474.47 1611411.78 1651397.23 1671519.03 1673401.40 1681201.29 164417.90 157801.95 159976.25 1891409.37 1641114.52 1621201.12 164687.33 1571515.14 165
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPR1265.65 1601083.59 1611478.06 1621441.06 1661438.61 1681540.68 1683284.05 1671219.68 165458.81 160803.22 160346.91 1591421.66 1651126.11 1631150.51 162722.08 1591500.09 164
MSLP-MVS++993.91 150732.21 1461299.24 1591631.22 1671345.26 1651480.05 1662524.20 158735.65 149463.57 161499.89 148302.78 1491292.66 162675.99 145612.79 132403.71 134953.11 149
FPMVS1356.65 1621072.60 1601688.04 1631840.79 1681397.01 1661793.24 1704397.86 172804.66 150408.78 156538.65 149407.36 162894.84 1531587.73 1661286.38 165792.73 1601486.39 163
OpenMVScopyleft2049.89 71895.92 1631721.29 1642099.67 1642064.00 1692419.00 1732138.00 1714572.00 1731541.00 170548.00 162937.00 162580.00 1671983.00 1681971.00 1721993.00 1701293.00 1742608.00 170
MVS-HIRNet1975.98 1641797.02 1662184.76 1652111.07 1702443.03 1742503.43 1734063.71 1691684.46 173711.34 1691456.05 177848.70 1822396.26 1771900.93 1671915.01 1681322.75 1752330.99 167
CHOSEN 280x4202225.10 1671992.66 1702496.28 1672192.10 1712641.81 1752621.41 1755345.34 1772116.46 1781002.26 1871683.84 182837.43 1782338.65 1711920.94 1692020.28 1711477.92 1802727.86 171
CHOSEN 1792x26882225.10 1671992.66 1702496.28 1672192.10 1712641.81 1752621.41 1755345.34 1772116.46 1781002.26 1871683.84 182837.43 1782338.65 1711920.94 1692020.28 1711477.92 1802727.86 171
HyFIR lowres test2225.10 1671992.66 1702496.28 1672192.10 1712641.81 1752621.41 1755345.34 1772116.46 1781002.26 1871683.84 182837.43 1782338.65 1711920.94 1692020.28 1711477.92 1802727.86 171
PCF-MVS3738.24 132129.60 1661746.89 1652576.10 1722258.22 1742263.67 1712650.06 1786361.78 1851676.15 172695.66 1681209.77 172737.88 1742237.28 1692083.02 1741835.31 1661253.58 1732422.45 168
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
DeepPCF-MVS3033.31 112362.79 1732183.15 1752572.38 1712349.28 1752383.16 1722740.92 1795212.97 1762043.02 177751.44 1701466.47 1781327.42 2022904.33 1822573.45 1852227.77 1751475.33 1793260.73 179
tpmrst2688.71 1792604.46 1802787.00 1782472.96 1763190.36 1823313.69 1865003.06 1751837.26 1741097.38 1931721.89 1861012.20 1972415.09 1782970.27 1932736.80 1892419.79 1984762.44 195
AdaColmapbinary2288.90 1702080.73 1742531.77 1702485.98 1772757.87 1782974.47 1804914.62 1742255.54 181804.63 1751611.14 181842.30 1812657.83 1802056.92 1731960.62 1691353.09 1773080.73 176
CMPMVSbinary2507.20 102083.60 1651983.13 1692200.81 1662582.70 1783097.30 1812332.10 1724364.50 1711390.00 166653.68 167997.75 164742.65 1771880.20 1672298.80 1782413.60 1821391.70 1782941.80 175
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
3Dnovator2220.89 92303.77 1712037.00 1732615.00 1732617.00 1792967.00 1802616.00 1745882.00 1831928.00 176589.00 164907.00 161528.00 1662443.00 1792370.00 1802392.00 1811543.00 1843167.00 177
Vis-MVSNetpermissive2390.77 1741976.57 1682874.00 1802644.00 1803248.00 1843040.00 1817371.00 1891627.00 171421.00 1581200.00 171622.00 1692251.00 1702326.00 1792052.00 1741517.00 1832761.00 174
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2615.00 1752242.57 1763049.50 1812828.00 1812801.00 1793323.00 1876648.00 1872491.00 1831023.00 1901605.00 180697.00 1722926.00 1842502.00 1822279.00 1761549.00 1853323.00 181
Skip Steuart: Steuart Systems R&D Blog.
SD-MVS2324.36 1721910.97 1672806.65 1792945.31 1823305.03 1863267.51 1855962.25 1841896.37 175848.15 1761224.25 173661.55 1712707.30 1811913.40 1681871.41 1671109.38 1692504.79 169
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
COLMAP_ROBcopyleft3798.28 142690.62 1802704.29 1872674.67 1743138.00 1833522.00 1893826.00 1953219.00 1662702.00 1881138.00 1972260.00 1961212.00 2012968.00 1852936.00 1922571.00 1851759.00 1933727.00 189
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
tpm cat12652.13 1762606.66 1812705.18 1753151.86 1846902.39 2033612.17 1905463.78 1801457.76 167391.31 1511358.61 174446.44 1632360.09 1742296.48 1752290.90 1771251.84 1703494.04 182
CostFormer2652.13 1762606.66 1812705.18 1753151.86 1846902.39 2033612.17 1905463.78 1801457.76 167391.31 1511358.61 174446.44 1632360.09 1742296.48 1752290.90 1771251.84 1703494.04 182
tpm2652.13 1762606.66 1812705.18 1753151.86 1846902.39 2033612.17 1905463.78 1801457.76 167391.31 1511358.61 174446.44 1632360.09 1742296.48 1752290.90 1771251.84 1703494.04 182
3Dnovator+3173.67 122938.77 1822519.43 1783428.00 1833256.00 1873708.00 1903443.00 1887516.00 1902525.00 1841121.00 194972.00 163925.00 1863192.00 1862899.00 1882897.00 1922040.00 1953710.00 188
TSAR-MVS + ACMM3184.92 1852679.45 1863774.64 1903302.51 1884168.07 1924256.74 1978947.31 1962634.53 1871026.25 1911723.72 1871043.87 1983387.29 1892794.29 1862687.41 1861727.73 1923704.25 187
MVS_111021_HR3192.50 1862773.91 1883680.86 1873515.58 1893815.81 1914020.82 1967766.11 1912775.23 1911300.96 2022221.19 1951117.25 2003420.01 1902873.98 1872835.60 1902061.69 1963778.31 190
DPM-MVS3051.54 1832661.57 1843506.50 1843532.00 1903332.00 1873744.00 1937839.00 1932772.00 189985.00 1791919.00 192738.00 1753319.00 1872901.00 1892715.00 1871620.00 1884254.00 192
OPM-MVS3051.54 1832661.57 1843506.50 1843532.00 1903332.00 1873744.00 1937839.00 1932772.00 189985.00 1791919.00 192738.00 1753319.00 1872901.00 1892715.00 1871620.00 1884254.00 192
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS5463.68 162764.21 1812434.28 1773149.14 1823645.15 1923257.60 1853452.71 1896526.32 1862591.85 186651.36 1661964.77 194947.44 1872924.41 1832523.36 1832452.68 1831694.86 1903302.28 180
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.4216.58 1934674.68 1953682.13 1883752.63 1934315.48 1944264.77 1987782.51 1922583.81 1851125.68 19516722.30 209882.60 1833589.10 1922523.80 1842486.45 1841578.08 1863208.34 178
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
MSP-MVS3241.28 1872825.26 1893726.65 1893945.31 1944305.03 1934267.51 1996962.25 1882896.37 1921068.15 1921824.25 1891061.55 1994307.30 1963013.40 1943171.41 1941809.38 1943504.79 185
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
DVP-MVScopyleft3258.34 1882529.80 1794108.31 1914005.62 1954693.14 1964737.88 20110195.40 2002408.38 182941.44 1771505.82 179734.32 1733438.27 1912449.15 1812386.04 1801331.25 1763531.75 186
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
PLCcopyleft4785.50 153275.54 1893030.86 1913561.00 1864093.00 1964596.00 1955174.00 2044267.00 1703570.00 1961495.00 2032940.00 1991594.00 2043947.00 1933817.00 1973343.00 1962390.00 1971356.00 160
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MAR-MVS3961.62 1913726.55 1934235.86 1924107.62 1976522.83 2024862.93 2027956.64 1953380.98 1951665.13 2043231.54 2001650.34 2054357.29 1973198.61 1963209.42 1952465.52 1994892.15 196
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
SED-MVS3539.47 1902909.05 1904274.95 1934528.93 1984986.51 1975003.31 2038985.31 1972904.53 1931294.24 2011839.12 1901003.69 1964135.17 1942926.32 1912897.04 1931702.75 1913806.13 191
DeepC-MVS5581.15 174824.92 1955020.53 1964596.70 1944714.52 1993205.14 1833108.50 18210234.20 2013823.34 1981885.23 2069002.42 2032045.34 2114715.23 1997652.65 2013993.41 1972922.51 2005421.41 197
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OMC-MVS4439.92 1943906.78 1945061.92 1974748.70 2005679.38 1985855.03 2079923.00 1984023.36 1991740.95 2051693.78 1851693.78 2064658.45 1984254.77 1984135.74 1983445.36 2035866.63 198
DVP-MVS++3961.71 1923092.38 1924975.92 1964850.81 2015691.32 1995760.96 20512294.80 2042980.85 1941135.72 1961840.86 191949.63 1884197.95 1953019.10 1952873.21 1911615.27 1874291.72 194
RA-MVS8615.01 2009333.66 2007776.59 1994896.26 2026250.00 2005772.11 20611138.80 20221344.80 2053151.39 20915014.00 2061880.82 20710959.00 2058493.00 2026381.00 20010742.00 2095972.00 199
aaEdge-Enhanced7215.11 1989333.66 2004743.47 1954896.26 2026250.00 2003151.39 1833151.39 16321344.80 2053151.39 20915014.00 2061880.82 20710959.00 2058493.00 2026381.00 2003151.39 2015972.00 199
TSAR-MVS + COLMAP6088.23 1965315.97 1976989.21 1986522.51 2048025.15 2067938.31 20815276.20 2055401.97 2011914.31 2073802.65 2011979.48 2106704.11 2015217.07 1995137.16 1993579.82 2047648.29 202
CLD-MVS6986.85 1976222.57 1987878.50 2007707.00 2058884.00 2079025.00 20915607.00 2066148.00 2022571.00 2084822.00 2022082.00 2127875.00 2036389.00 2006449.00 2034486.00 2058784.00 204
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7481.83 1996596.02 1998515.28 2019871.71 2069844.03 2089225.16 21018308.40 2075364.90 2001267.41 1982381.61 1971512.79 2037225.72 2028875.69 2059516.28 2045193.26 2068676.83 203
MVEpermissive11086.50 1813278.69 20312303.57 20414416.33 2049890.00 20717107.00 2114634.00 20059884.00 2103666.00 197966.00 1781792.00 188896.00 1855680.00 20020677.00 20923030.00 2085444.00 20718957.00 206
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
our_test_39999.00 20899.00 10699.00 105
ACMMPcopyleft9999.00 2029999.00 2029999.00 2039999.00 2089999.00 2099999.00 2119999.00 1999999.00 2039999.00 2149999.00 2049999.00 2149999.00 2049999.00 2069999.00 2059999.00 2089999.00 205
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
MED-MVS9884.09 20110032.06 2039711.46 20211138.80 21011138.80 21011138.80 21211138.80 20221344.80 2053151.39 20915014.00 2061880.82 20710959.00 2058493.00 2026381.00 20010742.00 2095972.00 199
CNLPA17763.08 20415907.71 20519927.67 20519334.00 21122387.00 21222896.00 21338668.00 20815772.00 2047632.00 21313229.00 2057123.00 21319334.00 20815773.00 20715700.00 20611702.00 21121370.00 207
MSDG31705.85 20529167.57 20734667.17 20644079.00 21228314.00 21444778.00 21543648.00 20931045.00 20914849.00 21526179.00 21013752.00 21638088.00 21030859.00 21030835.00 20922561.00 21343189.00 209
PHI-MVS99999.00 20799999.00 20899999.00 20899999.00 21399999.00 21599999.00 21699999.00 21199999.00 21099999.00 21799999.00 21199999.00 21799999.00 21199999.00 21199999.00 21099999.00 21499999.00 210
LTVRE_ROB38377.89 1949656.08 20618936.71 20685495.33 207306852.00 21422526.00 21329206.00 214112098.00 21230022.00 20817348.00 2162824.00 19811239.00 21529457.00 20920569.00 20819941.00 20718011.00 21225436.00 208
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
ACM-MVS10000000.00 21510000000.00 21610000000.00 21710000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21510000000.00 211
MVSMamba_PlusPlus10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
MGCFI-Net10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
sasdasda10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
dmvs_re10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
TPM-MVS10000000.00 21510000000.00 21610000000.00 21710000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21510000000.00 211
Ray Leroy Khuboni and Hongjun Xu: Textureless Resilient Propagation Matching in Multiple View Stereosis (TPM-MVS). SATNAC 2025
test250610000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
test111110000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
ECVR-MVScopyleft10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
ET-MVSNet_ETH3D10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
UniMVSNet_ETH3D10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
thisisatest053010000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Anonymous20240521110000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
DCV-MVSNet10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
tttt051710000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
thisisatest051510000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
DPE-MVScopyleft10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
tfpnnormal10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
tfpn200view910000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
IterMVS-SCA-FT10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
pmmvs610000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
pmmvs510000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Anonymous2023121110000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
pmmvs-eth3d10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Anonymous2023120610000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
SCA10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
canonicalmvs10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
anonymousdsp10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
FC-MVSNet-train10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
UA-Net10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
FC-MVSNet-test10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
sosnet-low-res10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
DI_MVS_pp10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
HPM-MVS++copyleft10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
pm-mvs110000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
APDe-MVScopyleft10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
pmmvs410000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
test-LLR10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
TESTMET0.1,110000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
test-mter10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
testgi10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
test20.0310000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
thres600view710000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
MP-MVScopyleft10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
thres40010000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
test12310000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
thres20010000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
test0.0.03 110000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
pmmvs310000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
EMVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
E-PMN10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
PGM-MVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
MCST-MVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
PMMVS210000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
PM-MVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
mPP-MVS10000000.00 21510000000.00 218
LGP-MVS_train10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
EPNet_dtu10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
NCCC10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
CP-MVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
CPTT-MVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
HQP-MVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
IS_MVSNet10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
Vis-MVSNet (Re-imp)10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
PatchMatch-RL10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
TDRefinement10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
EPP-MVSNet10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
PMMVS10000000.00 20810000000.00 20910000000.00 20910000000.00 21510000000.00 21610000000.00 21710000000.00 21310000000.00 21110000000.00 21810000000.00 21210000000.00 21810000000.00 21210000000.00 21210000000.00 21110000000.00 21510000000.00 211
APD-MVScopyleft1000000000.00 2761000000000.00 2781000000000.00 2771000000000.00 2871000000000.00 2871000000000.00 2891000000000.00 2821000000000.00 2821000000000.00 2891000000000.00 2831000000000.00 2901000000000.00 2831000000000.00 2811000000000.00 2801000000000.00 2861000000000.00 282
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet1copyleft400.00 161400.00 122400.00 122400.00 121400.00 133400.00 121
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 155400.00 131
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
TestfortrainingZip3151.39 1833151.39 1633151.39 2093151.39 201
RE-MVS-def610.10 165
9.140.00 1
MTAPA41.98 10128.43 97
MTMP10000000.00 21831.71 99
Patchmatch-RL test10000000.00 217
NP-MVS10000000.00 211
Patchmtry1825.90 169885.90 1501405.90 1431285.90 199
DeepMVS_CXcopyleft1.00 731.00 731.00 731.00 731.00 731.00 731.00 741.00 731.00 731.00 731.00 73