High-resolution multi-view benchmark

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
viewmambapermissive0.00 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
Casviewmambapermissive0.00 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 9415.50 937.50 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 9640.52 9643.48 9531.38 9437.72 9638.61 9548.42 9541.61 9749.31 10434.00 9648.23 10443.70 9937.45 9743.31 9649.45 9941.31 97
GBi-Net39.84 9435.75 9444.63 9643.04 9549.88 9751.06 9786.51 9835.34 9617.20 9529.83 9515.85 9643.43 9835.35 9635.70 9426.51 9748.28 98
VLMVS_CLIP40.04 9538.53 9541.81 9443.24 9637.14 9549.61 9648.89 9635.08 9543.13 10235.73 9742.64 10334.76 9730.35 9539.03 9531.23 9849.74 99
XVS52.20 9752.20 9852.20 9852.20 10552.20 11552.20 100
X-MVStestdata52.20 9752.20 9852.20 9852.20 10552.20 11552.20 100
X-MVS52.20 9752.20 9752.20 9752.20 9752.20 9852.20 9852.20 9752.20 9852.20 10552.20 9852.20 11552.20 10052.20 9852.20 9752.20 10052.20 100
new_pmnet75.00 9874.67 9875.39 9885.42 10096.03 10298.77 101173.23 9969.57 9936.19 9656.93 99117.43 12132.98 9585.38 10668.41 9825.74 9528.95 95
N_pmnet75.00 9874.67 9875.39 9885.42 10096.03 10298.77 101173.23 9969.57 9936.19 9656.93 99117.43 12132.98 9585.38 10668.41 9825.74 9528.95 95
CANet100.44 10093.07 100109.04 100111.90 102131.06 106119.40 104222.42 10880.48 10136.93 9870.80 10140.92 10089.90 101100.59 108101.42 10173.68 104126.25 101
CANet_DTU100.44 10093.07 100109.04 100111.90 102131.06 106119.40 104222.42 10880.48 10136.93 9870.80 10140.92 10089.90 101100.59 108101.42 10173.68 104126.25 101
UGNet100.44 10093.07 100109.04 100111.90 102131.06 106119.40 104222.42 10880.48 10136.93 9870.80 10140.92 10089.90 101100.59 108101.42 10173.68 104126.25 101
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 110106.58 103134.88 110123.82 105127.44 105145.38 107298.43 115116.16 11443.72 10377.82 10429.30 98131.24 111117.82 114106.21 10466.69 103171.29 114
FMVSNet5116.86 103110.47 104124.32 103131.47 106157.41 109150.67 108199.64 101115.30 10756.61 11197.70 10851.77 105117.26 10477.26 99113.14 10590.25 110160.68 107
test1116.86 103110.47 104124.32 103131.47 106157.41 109150.67 108199.64 101115.30 10756.61 11197.70 10851.77 105117.26 10477.26 99113.14 10590.25 110160.68 107
FMVSNet3116.86 103110.47 104124.32 103131.47 106157.41 109150.67 108199.64 101115.30 10756.61 11197.70 10851.77 105117.26 10477.26 99113.14 10590.25 110160.68 107
FMVSNet2116.86 103110.47 104124.32 103131.47 106157.41 109150.67 108199.64 101115.30 10756.61 11197.70 10851.77 105117.26 10477.26 99113.14 10590.25 110160.68 107
FMVSNet1116.86 103110.47 104124.32 103131.47 106157.41 109150.67 108199.64 101115.30 10756.61 11197.70 10851.77 105117.26 10477.26 99113.14 10590.25 110160.68 107
MIMVSNet1116.86 103110.47 104124.32 103131.47 106157.41 109150.67 108199.64 101115.30 10756.61 11197.70 10851.77 105117.26 10477.26 99113.14 10590.25 110160.68 107
MIMVSNet116.86 103110.47 104124.32 103131.47 106157.41 109150.67 108199.64 101115.30 10756.61 11197.70 10851.77 105117.26 10477.26 99113.14 10590.25 110160.68 107
PVSNet_Blended_VisFu129.22 111115.76 111144.92 111140.60 113162.80 116166.50 115281.20 112114.70 10455.50 10896.20 10551.80 112140.60 112114.70 111114.70 11285.10 107155.40 104
PVSNet_BlendedMVS129.22 111115.76 111144.92 111140.60 113162.80 116166.50 115281.20 112114.70 10455.50 10896.20 10551.80 112140.60 112114.70 111114.70 11285.10 107155.40 104
PVSNet_Blended129.22 111115.76 111144.92 111140.60 113162.80 116166.50 115281.20 112114.70 10455.50 10896.20 10551.80 112140.60 112114.70 111114.70 11285.10 107155.40 104
FA-MVS(training)203.85 114180.15 114231.50 114222.82 116259.22 119245.99 118478.61 117172.32 11782.03 119130.35 11572.14 118221.74 116190.35 115197.39 115137.78 118239.26 115
SixPastTwentyTwo210.90 115189.75 115235.58 115225.41 117284.88 120267.17 119485.88 118164.28 11676.51 118137.62 11676.69 119214.49 115206.28 116208.00 116144.02 119250.52 116
tmp_tt299.50 116365.00 11854.00 101649.00 133241.00 111159.00 115204.00 130479.00 140308.00 148243.00 117246.00 11782.00 10095.00 117
WB-MVS316.93 116277.98 116362.37 117386.49 119371.32 125360.90 124844.52 126232.58 118102.36 120215.57 118104.13 120287.33 118336.96 118318.49 117192.62 120366.78 118
PatchmatchNet2copyleft400.00 120400.00 126400.00 125
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
gm-plane-assit551.84 124503.49 125608.24 126411.90 121370.41 121267.30 120710.53 121454.42 128785.72 169491.23 142326.12 150881.92 146538.27 131650.05 140592.08 148693.94 128
RPSCF376.53 117341.80 117417.05 118418.60 122457.01 127467.46 126825.25 125336.12 120159.32 124260.40 120151.13 125386.94 119364.25 119352.10 118244.72 121471.62 120
EG-PatchMatch MVS402.98 118364.36 118448.05 119435.50 123473.00 128489.60 127910.20 127338.60 121127.30 121205.10 117123.50 123434.60 121450.70 124447.70 122291.10 123511.90 121
MS-PatchMatch438.85 119388.71 119497.33 120479.00 124527.00 129558.00 130988.00 128379.00 123174.00 126278.00 122162.00 126494.00 125418.00 121412.00 120291.00 122545.00 124
GG-mvs-BLEND557.53 127503.49 125620.58 127485.90 125370.41 121267.30 120710.53 121454.42 128785.72 169491.23 142326.12 150881.92 146538.27 131650.05 140592.08 148693.94 128
gg-mvs-nofinetune557.53 127503.49 125620.58 127485.90 125370.41 121267.30 120710.53 121454.42 128785.72 169491.23 142326.12 150881.92 146538.27 131650.05 140592.08 148693.94 128
CR-MVSNet557.53 127503.49 125620.58 127485.90 125370.41 121267.30 120710.53 121454.42 128785.72 169491.23 142326.12 150881.92 146538.27 131650.05 140592.08 148693.94 128
DELS-MVS458.84 122423.31 122500.30 121511.99 128616.59 131578.86 131991.10 129355.79 122158.99 123319.09 124190.62 129453.64 124437.73 123439.52 121307.20 124603.81 125
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 121410.20 121502.13 122520.70 129614.40 130546.00 1281018.80 136379.00 123167.50 125277.10 121169.40 127437.10 122437.10 122457.50 123322.70 125536.90 123
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ADS-MVSNet452.36 120406.02 120506.42 123534.76 130628.22 132552.79 1291009.99 135333.98 119149.26 122246.67 119149.01 124447.03 123465.35 125501.18 125344.69 126517.75 122
RPMNet858.01 145961.99 151736.69 132550.05 1311120.24 1591212.05 161463.05 116485.90 133550.05 161580.05 149890.05 182559.05 1291485.90 1631185.90 1611085.90 166985.90 148
CSCG727.26 142663.25 143801.94 142590.65 132811.25 138854.12 1461805.32 152816.43 150388.25 148612.42 150345.37 156621.61 132507.46 126471.55 124551.65 1461078.31 155
IB-MVS750.90 3552.99 125511.38 129601.53 124606.02 133735.75 137688.75 1351183.86 137436.09 127210.63 132397.40 128233.85 134551.05 128521.77 128533.78 128368.88 127721.05 133
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 134610.10 119610.10 166
IterMVS554.60 126488.63 124631.57 130636.90 135700.80 133674.70 1341271.10 140430.50 126207.10 131370.50 127202.70 132611.80 131534.20 130545.30 129387.80 129636.40 127
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Gipumacopyleft587.77 130529.57 130655.67 131637.00 136733.00 136749.00 1371245.00 139525.00 135269.00 142445.00 138253.00 136637.00 133525.00 129525.00 127397.00 130701.00 132
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
ACMH+702.88 1670.82 139589.81 139765.33 140662.52 137701.42 134795.24 1381698.33 150598.81 145226.55 133403.02 130187.13 128786.82 143724.80 146646.56 139422.52 134866.95 143
dps534.60 123472.40 123607.16 125690.38 138718.85 135636.03 1321231.66 138422.74 125198.65 129325.68 125194.97 130512.90 127509.81 127513.65 126373.33 128621.11 126
pmnet_mix02659.48 138547.83 131789.74 141720.05 139846.87 146740.59 1362153.63 154456.15 132191.24 127336.49 126200.39 131511.90 126608.74 135634.29 138421.05 133751.91 134
MVS_Test654.54 131583.51 132737.40 133721.80 140822.10 139808.60 1391494.00 142542.20 137259.90 135441.60 131257.70 138689.10 135620.80 136617.70 131451.00 136782.50 135
casdiffmvspermissive654.54 131583.51 132737.40 133721.80 140822.10 139808.60 1391494.00 142542.20 137259.90 135441.60 131257.70 138689.10 135620.80 136617.70 131451.00 136782.50 135
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 131583.51 132737.40 133721.80 140822.10 139808.60 1391494.00 142542.20 137259.90 135441.60 131257.70 138689.10 135620.80 136617.70 131451.00 136782.50 135
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 131583.51 132737.40 133721.80 140822.10 139808.60 1391494.00 142542.20 137259.90 135441.60 131257.70 138689.10 135620.80 136617.70 131451.00 136782.50 135
baseline1654.54 131583.51 132737.40 133721.80 140822.10 139808.60 1391494.00 142542.20 137259.90 135441.60 131257.70 138689.10 135620.80 136617.70 131451.00 136782.50 135
casdiffmvs_mvgpermissive654.54 131583.51 132737.40 133721.80 140822.10 139808.60 1391494.00 142542.20 137259.90 135441.60 131257.70 138689.10 135620.80 136617.70 131451.00 136782.50 135
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 131583.51 132737.40 133721.80 140822.10 139808.60 1391494.00 142542.20 137259.90 135441.60 131257.70 138689.10 135620.80 136617.70 131451.00 136782.50 135
new-patchmatchnet712.65 140632.59 140806.05 144787.79 147936.25 150882.47 1471795.72 151528.60 136244.29 134471.90 139257.36 137681.47 134705.16 145659.05 144444.55 135869.82 144
IterMVS-LS714.97 141638.00 142804.77 143793.60 148914.20 148886.50 1491612.70 149588.30 144285.30 143491.20 141278.40 146759.20 142677.40 144681.30 145491.30 143835.20 142
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH935.68 4948.23 147857.00 1471054.67 152946.00 149970.00 1511125.00 1582467.00 155823.00 151330.00 146622.00 151211.00 133891.00 150970.00 1511061.00 158569.00 1471342.00 157
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVSTER834.63 143737.03 145948.49 145988.86 1501140.51 1611129.34 1591832.80 153682.42 146319.01 144550.98 148311.35 149872.51 145763.95 147757.83 146548.41 145952.20 146
ambc999.00 152999.00 151999.00 152999.00 150999.00 155999.00 179999.00 163999.00 188999.00 152999.00 152999.00 152999.00 160999.00 149
EPMVS999.00 149999.00 152999.00 147999.00 151999.00 152999.00 150999.00 130999.00 155999.00 179999.00 163999.00 188999.00 152999.00 152999.00 152999.00 160999.00 149
uanet_test1000.00 1501000.00 1541000.00 1481000.00 1531000.00 1541000.00 1521000.00 1311000.00 1571000.00 1811000.00 1651000.00 1901000.00 1541000.00 1541000.00 1541000.00 1621000.00 151
sosnet1000.00 1501000.00 1541000.00 1481000.00 1531000.00 1541000.00 1521000.00 1311000.00 1571000.00 1811000.00 1651000.00 1901000.00 1541000.00 1541000.00 1541000.00 1621000.00 151
USDC1000.00 1501000.00 1541000.00 1481000.00 1531000.00 1541000.00 1521000.00 1311000.00 1571000.00 1811000.00 1651000.00 1901000.00 1541000.00 1541000.00 1541000.00 1621000.00 151
TinyColmap1000.00 1501000.00 1541000.00 1481000.00 1531000.00 1541000.00 1521000.00 1311000.00 1571000.00 1811000.00 1651000.00 1901000.00 1541000.00 1541000.00 1541000.00 1621000.00 151
ACMM1129.18 51047.56 154912.90 1481204.67 1541040.21 1571016.71 1581105.32 1562918.67 160813.91 149327.22 145665.34 152267.72 1451192.58 1591091.35 159991.88 151643.99 1531543.40 164
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PatchT878.42 146785.05 146987.36 1461050.05 158922.05 1491111.05 157677.05 120950.05 1531285.90 197750.05 156640.05 168850.05 144950.05 149950.05 149950.05 159333.05 117
ACMP1170.86 61091.37 156943.23 1501264.21 1561112.10 1591138.94 1601276.90 1622675.36 159989.62 154426.15 157742.77 155349.09 1581454.51 1641047.36 158969.90 150640.22 1521364.94 159
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
MVS_111021_LR1055.24 155916.36 1491217.27 1551129.93 1601268.26 1621313.88 1632635.76 158923.19 152396.92 152704.88 154327.66 1541136.32 158965.38 150946.95 148690.83 1561278.20 156
TSAR-MVS + GP.1239.27 1571094.74 1601407.89 1581220.99 1611845.47 1681680.98 1673191.81 1631098.41 161362.98 147679.12 153339.31 1551323.06 1611173.24 1621093.83 159667.49 1541433.78 160
PMVScopyleft743.55 2836.66 144637.90 1411068.55 1531306.50 162875.12 1471166.70 1602629.00 157512.24 134196.22 128282.69 123237.15 135597.87 130842.47 148765.54 147514.99 144950.09 145
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepC-MVS_fast2081.98 81311.87 1591172.50 1611474.47 1591411.78 1631397.23 1651519.03 1653401.40 1661201.29 162417.90 155801.95 157976.25 1871409.37 1621114.52 1601201.12 162687.33 1551515.14 163
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPR1265.65 1581083.59 1591478.06 1601441.06 1641438.61 1661540.68 1663284.05 1651219.68 163458.81 158803.22 158346.91 1571421.66 1631126.11 1611150.51 160722.08 1571500.09 162
MSLP-MVS++993.91 148732.21 1441299.24 1571631.22 1651345.26 1631480.05 1642524.20 156735.65 147463.57 159499.89 146302.78 1471292.66 160675.99 143612.79 130403.71 132953.11 147
FPMVS1356.65 1601072.60 1581688.04 1611840.79 1661397.01 1641793.24 1684397.86 170804.66 148408.78 154538.65 147407.36 160894.84 1511587.73 1641286.38 163792.73 1581486.39 161
OpenMVScopyleft2049.89 71895.92 1611721.29 1622099.67 1622064.00 1672419.00 1712138.00 1694572.00 1711541.00 168548.00 160937.00 160580.00 1651983.00 1661971.00 1701993.00 1681293.00 1722608.00 168
MVS-HIRNet1975.98 1621797.02 1642184.76 1632111.07 1682443.03 1722503.43 1714063.71 1671684.46 171711.34 1671456.05 175848.70 1802396.26 1751900.93 1651915.01 1661322.75 1732330.99 165
CHOSEN 280x4202225.10 1651992.66 1682496.28 1652192.10 1692641.81 1732621.41 1735345.34 1752116.46 1761002.26 1851683.84 180837.43 1762338.65 1691920.94 1672020.28 1691477.92 1782727.86 169
CHOSEN 1792x26882225.10 1651992.66 1682496.28 1652192.10 1692641.81 1732621.41 1735345.34 1752116.46 1761002.26 1851683.84 180837.43 1762338.65 1691920.94 1672020.28 1691477.92 1782727.86 169
HyFIR lowres test2225.10 1651992.66 1682496.28 1652192.10 1692641.81 1732621.41 1735345.34 1752116.46 1761002.26 1851683.84 180837.43 1762338.65 1691920.94 1672020.28 1691477.92 1782727.86 169
PCF-MVS3738.24 132129.60 1641746.89 1632576.10 1702258.22 1722263.67 1692650.06 1766361.78 1831676.15 170695.66 1661209.77 170737.88 1722237.28 1672083.02 1721835.31 1641253.58 1712422.45 166
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
DeepPCF-MVS3033.31 112362.79 1712183.15 1732572.38 1692349.28 1732383.16 1702740.92 1775212.97 1742043.02 175751.44 1681466.47 1761327.42 2002904.33 1802573.45 1832227.77 1731475.33 1773260.73 177
tpmrst2688.71 1772604.46 1782787.00 1762472.96 1743190.36 1803313.69 1845003.06 1731837.26 1721097.38 1911721.89 1841012.20 1952415.09 1762970.27 1912736.80 1872419.79 1964762.44 193
AdaColmapbinary2288.90 1682080.73 1722531.77 1682485.98 1752757.87 1762974.47 1784914.62 1722255.54 179804.63 1731611.14 179842.30 1792657.83 1782056.92 1711960.62 1671353.09 1753080.73 174
CMPMVSbinary2507.20 102083.60 1631983.13 1672200.81 1642582.70 1763097.30 1792332.10 1704364.50 1691390.00 164653.68 165997.75 162742.65 1751880.20 1652298.80 1762413.60 1801391.70 1762941.80 173
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
3Dnovator2220.89 92303.77 1692037.00 1712615.00 1712617.00 1772967.00 1782616.00 1725882.00 1811928.00 174589.00 162907.00 159528.00 1642443.00 1772370.00 1782392.00 1791543.00 1823167.00 175
Vis-MVSNetpermissive2390.77 1721976.57 1662874.00 1782644.00 1783248.00 1823040.00 1797371.00 1871627.00 169421.00 1561200.00 169622.00 1672251.00 1682326.00 1772052.00 1721517.00 1812761.00 172
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2615.00 1732242.57 1743049.50 1792828.00 1792801.00 1773323.00 1856648.00 1852491.00 1811023.00 1881605.00 178697.00 1702926.00 1822502.00 1802279.00 1741549.00 1833323.00 179
Skip Steuart: Steuart Systems R&D Blog.
SD-MVS2324.36 1701910.97 1652806.65 1772945.31 1803305.03 1843267.51 1835962.25 1821896.37 173848.15 1741224.25 171661.55 1692707.30 1791913.40 1661871.41 1651109.38 1672504.79 167
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 1782704.29 1852674.67 1723138.00 1813522.00 1873826.00 1933219.00 1642702.00 1861138.00 1952260.00 1941212.00 1992968.00 1832936.00 1902571.00 1831759.00 1913727.00 187
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
tpm cat12652.13 1742606.66 1792705.18 1733151.86 1826902.39 2003612.17 1885463.78 1781457.76 165391.31 1491358.61 172446.44 1612360.09 1722296.48 1732290.90 1751251.84 1683494.04 180
CostFormer2652.13 1742606.66 1792705.18 1733151.86 1826902.39 2003612.17 1885463.78 1781457.76 165391.31 1491358.61 172446.44 1612360.09 1722296.48 1732290.90 1751251.84 1683494.04 180
tpm2652.13 1742606.66 1792705.18 1733151.86 1826902.39 2003612.17 1885463.78 1781457.76 165391.31 1491358.61 172446.44 1612360.09 1722296.48 1732290.90 1751251.84 1683494.04 180
3Dnovator+3173.67 122938.77 1802519.43 1763428.00 1813256.00 1853708.00 1883443.00 1867516.00 1882525.00 1821121.00 192972.00 161925.00 1843192.00 1842899.00 1862897.00 1902040.00 1933710.00 186
TSAR-MVS + ACMM3184.92 1832679.45 1843774.64 1883302.51 1864168.07 1904256.74 1958947.31 1942634.53 1851026.25 1891723.72 1851043.87 1963387.29 1872794.29 1842687.41 1841727.73 1903704.25 185
MVS_111021_HR3192.50 1842773.91 1863680.86 1853515.58 1873815.81 1894020.82 1947766.11 1892775.23 1891300.96 2002221.19 1931117.25 1983420.01 1882873.98 1852835.60 1882061.69 1943778.31 188
DPM-MVS3051.54 1812661.57 1823506.50 1823532.00 1883332.00 1853744.00 1917839.00 1912772.00 187985.00 1771919.00 190738.00 1733319.00 1852901.00 1872715.00 1851620.00 1864254.00 190
OPM-MVS3051.54 1812661.57 1823506.50 1823532.00 1883332.00 1853744.00 1917839.00 1912772.00 187985.00 1771919.00 190738.00 1733319.00 1852901.00 1872715.00 1851620.00 1864254.00 190
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS5463.68 162764.21 1792434.28 1753149.14 1803645.15 1903257.60 1833452.71 1876526.32 1842591.85 184651.36 1641964.77 192947.44 1852924.41 1812523.36 1812452.68 1811694.86 1883302.28 178
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.4216.58 1914674.68 1933682.13 1863752.63 1914315.48 1924264.77 1967782.51 1902583.81 1831125.68 19316722.30 206882.60 1813589.10 1902523.80 1822486.45 1821578.08 1843208.34 176
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 1852825.26 1873726.65 1873945.31 1924305.03 1914267.51 1976962.25 1862896.37 1901068.15 1901824.25 1871061.55 1974307.30 1943013.40 1923171.41 1921809.38 1923504.79 183
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 1862529.80 1774108.31 1894005.62 1934693.14 1944737.88 19910195.40 1982408.38 180941.44 1751505.82 177734.32 1713438.27 1892449.15 1792386.04 1781331.25 1743531.75 184
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 1873030.86 1893561.00 1844093.00 1944596.00 1935174.00 2024267.00 1683570.00 1941495.00 2012940.00 1971594.00 2023947.00 1913817.00 1953343.00 1942390.00 1951356.00 158
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MAR-MVS3961.62 1893726.55 1914235.86 1904107.62 1956522.83 1994862.93 2007956.64 1933380.98 1931665.13 2023231.54 1981650.34 2034357.29 1953198.61 1943209.42 1932465.52 1974892.15 194
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 1882909.05 1884274.95 1914528.93 1964986.51 1955003.31 2018985.31 1952904.53 1911294.24 1991839.12 1881003.69 1944135.17 1922926.32 1892897.04 1911702.75 1893806.13 189
DeepC-MVS5581.15 174824.92 1935020.53 1944596.70 1924714.52 1973205.14 1813108.50 18010234.20 1993823.34 1961885.23 2049002.42 2012045.34 2084715.23 1977652.65 1993993.41 1952922.51 1985421.41 195
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 1923906.78 1925061.92 1954748.70 1985679.38 1965855.03 2049923.00 1964023.36 1971740.95 2031693.78 1831693.78 2044658.45 1964254.77 1964135.74 1963445.36 2015866.63 196
DVP-MVS++3961.71 1903092.38 1904975.92 1944850.81 1995691.32 1975760.96 20312294.80 2012980.85 1921135.72 1941840.86 189949.63 1864197.95 1933019.10 1932873.21 1891615.27 1854291.72 192
aaEdge-Enhanced7215.11 1969333.66 1984743.47 1934896.26 2006250.00 1983151.39 1813151.39 16121344.80 2033151.39 20715014.00 2041880.82 20510959.00 2038493.00 2006381.00 1983151.39 1995972.00 197
TSAR-MVS + COLMAP6088.23 1945315.97 1956989.21 1966522.51 2018025.15 2037938.31 20515276.20 2025401.97 1991914.31 2053802.65 1991979.48 2076704.11 1995217.07 1975137.16 1973579.82 2027648.29 199
CLD-MVS6986.85 1956222.57 1967878.50 1977707.00 2028884.00 2049025.00 20615607.00 2036148.00 2002571.00 2064822.00 2002082.00 2097875.00 2016389.00 1986449.00 2004486.00 2038784.00 201
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7481.83 1976596.02 1978515.28 1989871.71 2039844.03 2059225.16 20718308.40 2045364.90 1981267.41 1962381.61 1951512.79 2017225.72 2008875.69 2029516.28 2015193.26 2048676.83 200
MVEpermissive11086.50 1813278.69 20012303.57 20114416.33 2019890.00 20417107.00 2084634.00 19859884.00 2073666.00 195966.00 1761792.00 186896.00 1835680.00 19820677.00 20623030.00 2055444.00 20518957.00 203
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
our_test_39999.00 20599.00 10499.00 103
ACMMPcopyleft9999.00 1999999.00 1999999.00 2009999.00 2059999.00 2069999.00 2089999.00 1979999.00 2019999.00 2119999.00 2029999.00 2119999.00 2029999.00 2039999.00 2029999.00 2069999.00 202
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 19810032.06 2009711.47 19911138.80 20711138.80 20711138.80 20911138.80 20021344.80 2033151.39 20715014.00 2041880.82 20510959.00 2038493.00 2006381.00 19810742.00 2075972.00 197
CNLPA17763.08 20115907.71 20219927.67 20219334.00 20822387.00 20922896.00 21038668.00 20515772.00 2027632.00 21013229.00 2037123.00 21019334.00 20515773.00 20415700.00 20311702.00 20821370.00 204
MSDG31705.85 20229167.57 20434667.17 20344079.00 20928314.00 21144778.00 21243648.00 20631045.00 20614849.00 21226179.00 20713752.00 21338088.00 20730859.00 20730835.00 20622561.00 21043189.00 206
PHI-MVS99999.00 20499999.00 20599999.00 20599999.00 21099999.00 21299999.00 21399999.00 20899999.00 20799999.00 21499999.00 20899999.00 21499999.00 20899999.00 20899999.00 20799999.00 21199999.00 207
LTVRE_ROB38377.89 1949656.08 20318936.71 20385495.33 204306852.00 21122526.00 21029206.00 211112098.00 20930022.00 20517348.00 2132824.00 19611239.00 21229457.00 20620569.00 20519941.00 20418011.00 20925436.00 205
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
MVSMamba_PlusPlus10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
MGCFI-Net10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
sasdasda10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
dmvs_re10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
TPM-MVS10000000.00 21210000000.00 21310000000.00 21410000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 21210000000.00 208
Ray Leroy Khuboni and Hongjun Xu: Textureless Resilient Propagation Matching in Multiple View Stereosis (TPM-MVS). SATNAC 2025
test250610000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
test111110000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
ECVR-MVScopyleft10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
ET-MVSNet_ETH3D10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
UniMVSNet_ETH3D10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
thisisatest053010000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Anonymous20240521110000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
DCV-MVSNet10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
tttt051710000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
thisisatest051510000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
DPE-MVScopyleft10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
tfpnnormal10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
tfpn200view910000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
IterMVS-SCA-FT10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
pmmvs610000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
pmmvs510000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Anonymous2023121110000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
pmmvs-eth3d10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Anonymous2023120610000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
SCA10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
canonicalmvs10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
anonymousdsp10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
FC-MVSNet-train10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
UA-Net10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
FC-MVSNet-test10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
sosnet-low-res10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
DI_MVS_pp10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
HPM-MVS++copyleft10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
pm-mvs110000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
APDe-MVScopyleft10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
pmmvs410000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
test-LLR10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
TESTMET0.1,110000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
test-mter10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
testgi10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
test20.0310000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
thres600view710000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
MP-MVScopyleft10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
thres40010000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
test12310000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
thres20010000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
test0.0.03 110000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
pmmvs310000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
EMVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
E-PMN10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
PGM-MVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
MCST-MVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
PMMVS210000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
PM-MVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
mPP-MVS10000000.00 21210000000.00 215
LGP-MVS_train10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
EPNet_dtu10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
NCCC10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
CP-MVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
CPTT-MVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
HQP-MVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
IS_MVSNet10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
Vis-MVSNet (Re-imp)10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
PatchMatch-RL10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
TDRefinement10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
EPP-MVSNet10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
PMMVS10000000.00 20510000000.00 20610000000.00 20610000000.00 21210000000.00 21310000000.00 21410000000.00 21010000000.00 20810000000.00 21510000000.00 20910000000.00 21510000000.00 20910000000.00 20910000000.00 20810000000.00 21210000000.00 208
APD-MVScopyleft1000000000.00 2731000000000.00 2751000000000.00 2741000000000.00 2831000000000.00 2831000000000.00 2851000000000.00 2791000000000.00 2781000000000.00 2851000000000.00 2791000000000.00 2861000000000.00 2791000000000.00 2781000000000.00 2771000000000.00 2821000000000.00 278
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet1copyleft400.00 159400.00 120400.00 120400.00 119400.00 131400.00 119
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 153400.00 129
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
TestfortrainingZip3151.39 1813151.39 1613151.39 2073151.39 199
RE-MVS-def610.10 163
9.140.00 1
MTAPA41.98 10128.43 97
MTMP10000000.00 21531.71 99
Patchmatch-RL test10000000.00 214
NP-MVS10000000.00 208
Patchmtry1825.90 167885.90 1481405.90 1411285.90 197
DeepMVS_CXcopyleft1.00 731.00 731.00 731.00 731.00 731.00 731.00 741.00 731.00 731.00 731.00 73