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 bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted 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
DeepMVS_CXcopyleft1.00 731.00 731.00 731.00 731.00 731.00 731.00 741.00 731.00 731.00 731.00 73
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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.
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
tpm cat12652.13 1762606.66 1812705.18 1753151.86 1846902.39 2023612.17 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 2023612.17 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 2023612.17 1905463.78 1801457.76 167391.31 1511358.61 174446.44 1632360.09 1742296.48 1752290.90 1771251.84 1703494.04 182
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
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
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
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
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
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
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
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.
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
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
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).
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
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
TSAR-MVS + MP.4216.58 1934674.68 1953682.13 1883752.63 1934315.48 1944264.77 1987782.51 1922583.81 1851125.68 19516722.30 208882.60 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
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
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
DVP-MVS++3961.71 1923092.38 1924975.92 1964850.81 2015691.32 1995760.96 20512294.80 2032980.85 1941135.72 1961840.86 191949.63 1884197.95 1953019.10 1952873.21 1911615.27 1874291.72 194
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
MAR-MVS3961.62 1913726.55 1934235.86 1924107.62 1976522.83 2014862.93 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
OMC-MVS4439.92 1943906.78 1945061.92 1974748.70 2005679.38 1985855.03 2069923.00 1984023.36 1991740.95 2051693.78 1851693.78 2064658.45 1984254.77 1984135.74 1983445.36 2035866.63 198
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 2104715.23 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
MVEpermissive11086.50 1813278.69 20212303.57 20314416.33 2039890.00 20617107.00 2104634.00 20059884.00 2093666.00 197966.00 1781792.00 188896.00 1855680.00 20020677.00 20823030.00 2075444.00 20718957.00 205
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
TSAR-MVS + COLMAP6088.23 1965315.97 1976989.21 1986522.51 2038025.15 2057938.31 20715276.20 2045401.97 2011914.31 2073802.65 2011979.48 2096704.11 2015217.07 1995137.16 1993579.82 2047648.29 201
LS3D7481.83 1996596.02 1998515.28 2009871.71 2059844.03 2079225.16 20918308.40 2065364.90 2001267.41 1982381.61 1971512.79 2037225.72 2028875.69 2049516.28 2035193.26 2068676.83 202
CLD-MVS6986.85 1976222.57 1987878.50 1997707.00 2048884.00 2069025.00 20815607.00 2056148.00 2022571.00 2084822.00 2022082.00 2117875.00 2036389.00 2006449.00 2024486.00 2058784.00 203
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ACMMPcopyleft9999.00 2019999.00 2019999.00 2029999.00 2079999.00 2089999.00 2109999.00 1999999.00 2039999.00 2139999.00 2049999.00 2139999.00 2049999.00 2059999.00 2049999.00 2089999.00 204
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 20010032.06 2029711.47 20111138.80 20911138.80 20911138.80 21111138.80 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
CNLPA17763.08 20315907.71 20419927.67 20419334.00 21022387.00 21122896.00 21238668.00 20715772.00 2047632.00 21213229.00 2057123.00 21219334.00 20715773.00 20615700.00 20511702.00 21021370.00 206
LTVRE_ROB38377.89 1949656.08 20518936.71 20585495.33 206306852.00 21322526.00 21229206.00 213112098.00 21130022.00 20717348.00 2152824.00 19811239.00 21429457.00 20820569.00 20719941.00 20618011.00 21125436.00 207
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
MSDG31705.85 20429167.57 20634667.17 20544079.00 21128314.00 21344778.00 21443648.00 20831045.00 20814849.00 21426179.00 20913752.00 21538088.00 20930859.00 20930835.00 20822561.00 21243189.00 208
PHI-MVS99999.00 20699999.00 20799999.00 20799999.00 21299999.00 21499999.00 21599999.00 21099999.00 20999999.00 21699999.00 21099999.00 21699999.00 21099999.00 21099999.00 20999999.00 21399999.00 209
MVSMamba_PlusPlus10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MGCFI-Net10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
sasdasda10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
dmvs_re10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
TPM-MVS10000000.00 21410000000.00 21510000000.00 21610000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21410000000.00 210
Ray Leroy Khuboni and Hongjun Xu: Textureless Resilient Propagation Matching in Multiple View Stereosis (TPM-MVS). SATNAC 2025
test250610000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test111110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
ECVR-MVScopyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
ET-MVSNet_ETH3D10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
UniMVSNet_ETH3D10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
thisisatest053010000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Anonymous20240521110000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
DCV-MVSNet10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
tttt051710000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
thisisatest051510000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
DPE-MVScopyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
tfpnnormal10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
tfpn200view910000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
IterMVS-SCA-FT10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
pmmvs610000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
pmmvs510000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Anonymous2023121110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
pmmvs-eth3d10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Anonymous2023120610000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
SCA10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
canonicalmvs10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
anonymousdsp10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
FC-MVSNet-train10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
UA-Net10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
FC-MVSNet-test10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
sosnet-low-res10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
DI_MVS_pp10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
HPM-MVS++copyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
pm-mvs110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
APDe-MVScopyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
pmmvs410000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test-LLR10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
TESTMET0.1,110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test-mter10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
testgi10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test20.0310000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
thres600view710000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MP-MVScopyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
thres40010000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test12310000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
thres20010000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test0.0.03 110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
pmmvs310000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
EMVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
E-PMN10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PGM-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MCST-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PMMVS210000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PM-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
LGP-MVS_train10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
EPNet_dtu10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
NCCC10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
CP-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
CPTT-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
HQP-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
IS_MVSNet10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Vis-MVSNet (Re-imp)10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PatchMatch-RL10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
TDRefinement10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
EPP-MVSNet10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PMMVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
APD-MVScopyleft1000000000.00 2751000000000.00 2771000000000.00 2761000000000.00 2851000000000.00 2851000000000.00 2871000000000.00 2811000000000.00 2801000000000.00 2871000000000.00 2811000000000.00 2881000000000.00 2811000000000.00 2801000000000.00 2791000000000.00 2841000000000.00 280
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
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
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
SR-MVS610.10 136610.10 121610.10 168
our_test_39999.00 20799.00 10699.00 105
MTAPA41.98 10128.43 97
MTMP10000000.00 21731.71 99
Patchmatch-RL test10000000.00 216
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
mPP-MVS10000000.00 21410000000.00 217
NP-MVS10000000.00 210
Patchmtry1825.90 169885.90 1501405.90 1431285.90 199