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
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
LCM-MVSNet95.70 196.40 193.61 298.67 185.39 2995.54 397.36 196.97 199.04 199.05 196.61 195.92 885.07 3699.27 399.54 1
TDRefinement93.52 293.39 393.88 195.94 1390.26 495.70 296.46 290.58 892.86 4196.29 1888.16 2694.17 6586.07 3298.48 1997.22 26
LTVRE_ROB86.10 193.04 393.44 291.82 1993.73 4785.72 2896.79 195.51 488.86 1395.63 1096.99 884.81 5293.16 11991.10 197.53 5696.58 39
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
abl_693.02 493.16 492.60 494.73 3888.99 793.26 1094.19 1989.11 1194.43 1995.27 4191.86 495.09 4087.54 1898.02 3993.71 110
HPM-MVS_fast92.50 592.54 592.37 595.93 1485.81 2792.99 1194.23 1685.21 2492.51 4895.13 4590.65 1195.34 3088.06 1098.15 3495.95 51
HPM-MVS92.13 692.20 791.91 1595.58 2384.67 3893.51 694.85 982.88 4191.77 6193.94 8990.55 1395.73 1688.50 898.23 3195.33 69
APD-MVS_3200maxsize92.05 792.24 691.48 2093.02 6285.17 3192.47 2195.05 887.65 1993.21 3694.39 7190.09 1495.08 4186.67 2497.60 5494.18 94
COLMAP_ROBcopyleft83.01 391.97 891.95 892.04 1093.68 4886.15 1893.37 895.10 790.28 992.11 5395.03 4789.75 1594.93 4579.95 10198.27 2995.04 76
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ACMMPcopyleft91.91 991.87 1492.03 1195.53 2485.91 2293.35 994.16 2082.52 4592.39 5294.14 7989.15 1795.62 1887.35 1998.24 3094.56 81
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
mPP-MVS91.69 1091.47 2092.37 596.04 1188.48 892.72 1492.60 6883.09 3891.54 6494.25 7587.67 3395.51 2687.21 2398.11 3593.12 125
CP-MVS91.67 1191.58 1791.96 1295.29 2787.62 993.38 793.36 3583.16 3791.06 7094.00 8288.26 2395.71 1787.28 2298.39 2392.55 136
XVS91.54 1291.36 2292.08 895.64 2186.25 1692.64 1593.33 3785.07 2589.99 8494.03 8186.57 4195.80 1387.35 1997.62 5294.20 92
MTAPA91.52 1391.60 1691.29 2596.59 386.29 1492.02 2491.81 8784.07 3092.00 5694.40 6986.63 3995.28 3488.59 498.31 2692.30 143
UA-Net91.49 1491.53 1891.39 2294.98 3182.95 5093.52 592.79 6188.22 1688.53 12197.64 383.45 6394.55 5686.02 3398.60 1496.67 36
ACMMPR91.49 1491.35 2491.92 1495.74 1885.88 2492.58 1893.25 4381.99 5191.40 6794.17 7887.51 3495.87 1087.74 1197.76 4793.99 99
LPG-MVS_test91.47 1691.68 1590.82 3494.75 3581.69 5190.00 3994.27 1382.35 4693.67 3094.82 5491.18 695.52 2485.36 3498.73 895.23 72
region2R91.44 1791.30 2691.87 1695.75 1785.90 2392.63 1793.30 4081.91 5390.88 7594.21 7687.75 3095.87 1087.60 1697.71 5093.83 103
HFP-MVS91.30 1891.39 2191.02 2995.43 2584.66 3992.58 1893.29 4181.99 5191.47 6593.96 8588.35 2195.56 2187.74 1197.74 4892.85 128
MPTG91.27 1991.26 2791.29 2596.59 386.29 1488.94 6291.81 8784.07 3092.00 5694.40 6986.63 3995.28 3488.59 498.31 2692.30 143
APDe-MVS91.22 2091.92 989.14 5692.97 6478.04 7792.84 1294.14 2183.33 3593.90 2695.73 2988.77 1896.41 187.60 1697.98 4292.98 127
PGM-MVS91.20 2190.95 3391.93 1395.67 2085.85 2590.00 3993.90 2680.32 6791.74 6294.41 6888.17 2595.98 586.37 2597.99 4193.96 101
SteuartSystems-ACMMP91.16 2291.36 2290.55 3793.91 4680.97 5891.49 2993.48 3482.82 4292.60 4793.97 8388.19 2496.29 387.61 1598.20 3394.39 90
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MP-MVScopyleft91.14 2390.91 3491.83 1896.18 1086.88 1192.20 2293.03 5282.59 4488.52 12294.37 7286.74 3895.41 2886.32 2698.21 3293.19 124
MP-MVS-pluss90.81 2491.08 2989.99 4695.97 1279.88 6388.13 7394.51 1175.79 12392.94 3894.96 4988.36 2095.01 4390.70 298.40 2195.09 75
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMH+77.89 1190.73 2591.50 1988.44 6293.00 6376.26 9789.65 4995.55 387.72 1893.89 2794.94 5091.62 593.44 10678.35 11598.76 595.61 64
ACMMP_Plus90.65 2691.07 3089.42 5295.93 1479.54 6889.95 4293.68 2977.65 10191.97 5894.89 5188.38 1995.45 2789.27 397.87 4593.27 120
ACMM79.39 990.65 2690.99 3189.63 4995.03 3083.53 4489.62 5093.35 3679.20 8093.83 2893.60 9490.81 992.96 12785.02 3898.45 2092.41 139
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LS3D90.60 2890.34 4091.38 2389.03 14784.23 4293.58 494.68 1090.65 790.33 7993.95 8884.50 5595.37 2980.87 8695.50 11794.53 85
ACMP79.16 1090.54 2990.60 3790.35 4194.36 4080.98 5789.16 5994.05 2379.03 8492.87 4093.74 9290.60 1295.21 3882.87 6598.76 594.87 77
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
#test#90.49 3090.31 4191.02 2995.43 2584.66 3990.65 3493.29 4177.00 11091.47 6593.96 8588.35 2195.56 2184.88 3997.74 4892.85 128
Anonymous2023121190.14 3191.88 1284.92 11694.75 3564.47 17690.13 3892.97 5491.68 395.35 1298.79 293.19 391.76 15871.67 16998.40 2198.52 7
v7n90.13 3290.96 3287.65 7591.95 9171.06 13689.99 4193.05 4986.53 2194.29 2296.27 1982.69 7094.08 6886.25 2997.63 5197.82 11
PMVScopyleft80.48 690.08 3390.66 3688.34 6496.71 292.97 290.31 3689.57 15888.51 1590.11 8095.12 4690.98 888.92 21377.55 12297.07 6583.13 264
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PS-CasMVS90.06 3491.92 984.47 13096.56 658.83 24889.04 6092.74 6391.40 596.12 496.06 2487.23 3595.57 2079.42 10998.74 799.00 2
PEN-MVS90.03 3591.88 1284.48 12996.57 558.88 24788.95 6193.19 4491.62 496.01 696.16 2287.02 3695.60 1978.69 11398.72 1098.97 3
OurMVSNet-221017-090.01 3689.74 4690.83 3393.16 5980.37 5991.91 2793.11 4681.10 6095.32 1397.24 672.94 18594.85 4785.07 3697.78 4697.26 23
DTE-MVSNet89.98 3791.91 1184.21 13896.51 757.84 25188.93 6392.84 6091.92 296.16 396.23 2086.95 3795.99 479.05 11098.57 1698.80 6
XVG-ACMP-BASELINE89.98 3789.84 4490.41 3994.91 3384.50 4189.49 5593.98 2479.68 7392.09 5493.89 9083.80 5993.10 12282.67 6998.04 3693.64 112
v5289.97 3990.60 3788.07 6888.69 15272.01 12491.35 3092.64 6682.22 4895.97 896.31 1684.82 5193.98 7288.59 494.83 13998.23 8
V489.97 3990.60 3788.07 6888.69 15272.01 12491.35 3092.64 6682.22 4895.98 796.31 1684.80 5393.98 7288.59 494.83 13998.23 8
3Dnovator+83.92 289.97 3989.66 4790.92 3291.27 11081.66 5491.25 3294.13 2288.89 1288.83 11694.26 7477.55 12295.86 1284.88 3995.87 10895.24 71
WR-MVS_H89.91 4291.31 2585.71 10796.32 962.39 21089.54 5393.31 3990.21 1095.57 1195.66 3181.42 9195.90 980.94 8598.80 498.84 5
OPM-MVS89.80 4389.97 4289.27 5494.76 3479.86 6486.76 9792.78 6278.78 8792.51 4893.64 9388.13 2793.84 7984.83 4197.55 5594.10 97
mvs_tets89.78 4489.27 5191.30 2493.51 5084.79 3689.89 4490.63 12470.00 18494.55 1896.67 1187.94 2993.59 9084.27 4895.97 10395.52 65
anonymousdsp89.73 4588.88 5692.27 789.82 13886.67 1290.51 3590.20 14569.87 18595.06 1496.14 2384.28 5693.07 12687.68 1396.34 8797.09 30
test_djsdf89.62 4689.01 5391.45 2192.36 7982.98 4991.98 2590.08 14671.54 17294.28 2396.54 1381.57 8994.27 5886.26 2796.49 8397.09 30
XVG-OURS-SEG-HR89.59 4789.37 5090.28 4294.47 3985.95 2186.84 9393.91 2580.07 7086.75 14793.26 9693.64 290.93 17784.60 4490.75 21193.97 100
APD-MVScopyleft89.54 4889.63 4889.26 5592.57 7281.34 5690.19 3793.08 4880.87 6291.13 6993.19 9786.22 4695.97 682.23 7397.18 6390.45 184
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
jajsoiax89.41 4988.81 5891.19 2893.38 5484.72 3789.70 4690.29 14069.27 18894.39 2096.38 1586.02 4893.52 10083.96 5195.92 10695.34 68
CPTT-MVS89.39 5088.98 5590.63 3695.09 2986.95 1092.09 2392.30 7479.74 7287.50 13692.38 11781.42 9193.28 11483.07 6297.24 6191.67 158
ACMH76.49 1489.34 5191.14 2883.96 14492.50 7570.36 14089.55 5193.84 2781.89 5494.70 1695.44 3990.69 1088.31 22083.33 5898.30 2893.20 123
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CP-MVSNet89.27 5290.91 3484.37 13396.34 858.61 25088.66 6892.06 7990.78 695.67 995.17 4481.80 8795.54 2379.00 11198.69 1198.95 4
XVG-OURS89.18 5388.83 5790.23 4394.28 4186.11 2085.91 10993.60 3280.16 6989.13 11293.44 9583.82 5890.98 17583.86 5495.30 12493.60 114
DeepC-MVS82.31 489.15 5489.08 5289.37 5393.64 4979.07 7088.54 6994.20 1773.53 14289.71 9594.82 5485.09 5095.77 1584.17 5098.03 3893.26 121
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SD-MVS88.96 5589.88 4386.22 9491.63 9777.07 8789.82 4593.77 2878.90 8592.88 3992.29 12186.11 4790.22 19786.24 3097.24 6191.36 165
HPM-MVS++88.93 5688.45 6290.38 4094.92 3285.85 2589.70 4691.27 11278.20 9586.69 14892.28 12280.36 10095.06 4286.17 3196.49 8390.22 188
v74888.91 5789.82 4586.19 9890.06 13468.53 15288.81 6591.48 9784.36 2894.19 2495.98 2582.52 7392.67 13684.30 4796.67 7697.37 20
test_040288.65 5889.58 4985.88 10492.55 7372.22 12384.01 13689.44 16088.63 1494.38 2195.77 2886.38 4593.59 9079.84 10295.21 12591.82 155
HSP-MVS88.63 5987.84 6791.02 2995.76 1686.14 1992.75 1391.01 11978.43 9289.16 11192.25 12372.03 20196.36 288.21 990.93 20690.55 182
DP-MVS88.60 6089.01 5387.36 7991.30 10877.50 8287.55 8192.97 5487.95 1789.62 10192.87 10684.56 5493.89 7677.65 12196.62 7790.70 175
wuykxyi23d88.46 6188.80 5987.44 7890.96 11893.03 185.85 11181.96 23474.58 13298.58 297.29 587.73 3187.31 22782.84 6799.41 181.99 277
PS-MVSNAJss88.31 6287.90 6689.56 5193.31 5577.96 7887.94 7591.97 8270.73 17894.19 2496.67 1176.94 13094.57 5483.07 6296.28 8996.15 42
OMC-MVS88.19 6387.52 7290.19 4491.94 9381.68 5387.49 8393.17 4576.02 11988.64 11991.22 14484.24 5793.37 10977.97 12097.03 6695.52 65
TSAR-MVS + MP.88.14 6487.82 6889.09 5795.72 1976.74 9192.49 2091.19 11567.85 20186.63 14994.84 5379.58 10695.96 787.62 1494.50 14894.56 81
RPSCF88.00 6586.93 8491.22 2790.08 13289.30 689.68 4891.11 11679.26 7989.68 9694.81 5782.44 7487.74 22476.54 13288.74 23296.61 38
AllTest87.97 6687.40 7689.68 4791.59 9883.40 4589.50 5495.44 579.47 7588.00 12993.03 10082.66 7191.47 16370.81 17196.14 9694.16 95
TranMVSNet+NR-MVSNet87.86 6788.76 6085.18 11394.02 4364.13 17884.38 13191.29 11184.88 2792.06 5593.84 9186.45 4393.73 8073.22 15598.66 1297.69 12
nrg03087.85 6888.49 6185.91 10290.07 13369.73 14287.86 7694.20 1774.04 13792.70 4594.66 5885.88 4991.50 16279.72 10397.32 5996.50 40
CNVR-MVS87.81 6987.68 7188.21 6592.87 6677.30 8685.25 11891.23 11377.31 10687.07 14391.47 14082.94 6894.71 5084.67 4396.27 9192.62 135
HQP_MVS87.75 7087.43 7588.70 6093.45 5176.42 9589.45 5693.61 3079.44 7786.55 15092.95 10474.84 15095.22 3680.78 8895.83 11094.46 86
NCCC87.36 7186.87 8588.83 5892.32 8278.84 7386.58 10491.09 11778.77 8884.85 17490.89 16280.85 9595.29 3281.14 8295.32 12192.34 142
v1387.31 7288.10 6384.94 11588.84 14963.75 18287.85 7791.47 10079.12 8193.72 2995.82 2775.20 14493.58 9384.76 4296.16 9497.48 17
DeepPCF-MVS81.24 587.28 7386.21 9690.49 3891.48 10584.90 3483.41 15992.38 7370.25 18389.35 10990.68 16982.85 6994.57 5479.55 10595.95 10492.00 150
SixPastTwentyTwo87.20 7487.45 7486.45 8892.52 7469.19 15087.84 7888.05 17681.66 5694.64 1796.53 1465.94 22494.75 4983.02 6496.83 7295.41 67
v1287.15 7587.91 6584.84 11888.69 15263.52 18587.58 8091.46 10178.74 8993.57 3295.66 3174.94 14893.57 9484.50 4596.08 9997.43 18
v1186.96 7687.78 6984.51 12788.50 15862.60 20587.21 8691.63 9178.08 9893.40 3495.56 3675.07 14593.57 9484.46 4696.08 9997.36 21
V986.96 7687.70 7084.74 12288.52 15763.27 19187.31 8591.45 10378.28 9493.43 3395.45 3874.59 15693.57 9484.23 4996.01 10297.38 19
UniMVSNet (Re)86.87 7886.98 8286.55 8693.11 6168.48 15383.80 14592.87 5780.37 6589.61 10391.81 13277.72 11994.18 6375.00 14198.53 1796.99 34
Vis-MVSNetpermissive86.86 7986.58 8987.72 7392.09 8777.43 8387.35 8492.09 7878.87 8684.27 18694.05 8078.35 11493.65 8380.54 9291.58 19892.08 149
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
UniMVSNet_NR-MVSNet86.84 8087.06 7986.17 9992.86 6867.02 16182.55 18291.56 9383.08 3990.92 7291.82 13178.25 11593.99 7074.16 14498.35 2497.49 16
DU-MVS86.80 8186.99 8186.21 9693.24 5767.02 16183.16 16692.21 7581.73 5590.92 7291.97 12577.20 12493.99 7074.16 14498.35 2497.61 13
V1486.75 8287.46 7384.62 12588.35 16163.00 19687.02 9191.42 10577.78 10093.27 3595.23 4374.22 15793.56 9783.95 5295.93 10597.31 22
Regformer-286.74 8386.08 9888.73 5984.18 23879.20 6983.52 15389.33 16183.33 3589.92 9085.07 24783.23 6693.16 11983.39 5792.72 18493.83 103
IS-MVSNet86.66 8486.82 8886.17 9992.05 8966.87 16391.21 3388.64 16886.30 2389.60 10492.59 11269.22 21194.91 4673.89 14897.89 4496.72 35
v1586.56 8587.25 7784.51 12788.15 16862.72 20186.72 10191.40 10777.38 10493.11 3795.00 4873.93 16293.55 9883.67 5695.86 10997.26 23
v1086.54 8687.10 7884.84 11888.16 16763.28 19086.64 10392.20 7675.42 12892.81 4294.50 6474.05 16094.06 6983.88 5396.28 8997.17 28
pmmvs686.52 8788.06 6481.90 18492.22 8562.28 21684.66 12689.15 16383.54 3489.85 9197.32 488.08 2886.80 23470.43 17897.30 6096.62 37
Regformer-486.41 8885.71 10388.52 6184.27 23477.57 8184.07 13488.00 17882.82 4289.84 9285.48 23782.06 7992.77 13383.83 5591.04 20395.22 74
PHI-MVS86.38 8985.81 10188.08 6788.44 16077.34 8489.35 5893.05 4973.15 15184.76 17587.70 21578.87 11094.18 6380.67 9096.29 8892.73 132
v1786.32 9086.95 8384.44 13188.00 17062.62 20486.74 9991.48 9777.17 10792.74 4394.56 6073.74 16693.53 9983.27 5994.87 13897.18 27
test_prior386.31 9186.31 9386.32 9090.59 12571.99 12683.37 16092.85 5875.43 12684.58 17791.57 13681.92 8594.17 6579.54 10696.97 6792.80 130
CSCG86.26 9286.47 9185.60 10990.87 12074.26 10687.98 7491.85 8580.35 6689.54 10788.01 20979.09 10892.13 14675.51 13695.06 13090.41 185
v1686.24 9386.85 8684.43 13287.96 17262.59 20686.73 10091.48 9777.17 10792.67 4694.55 6173.63 16793.52 10083.26 6094.16 15297.17 28
DeepC-MVS_fast80.27 886.23 9485.65 10587.96 7291.30 10876.92 8887.19 8791.99 8170.56 17984.96 17090.69 16880.01 10395.14 3978.37 11495.78 11291.82 155
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
v886.22 9586.83 8784.36 13487.82 17462.35 21186.42 10691.33 11076.78 11292.73 4494.48 6573.41 17493.72 8183.10 6195.41 11897.01 33
CDPH-MVS86.17 9685.54 10688.05 7192.25 8375.45 10083.85 14292.01 8065.91 21386.19 15791.75 13483.77 6094.98 4477.43 12596.71 7593.73 109
Regformer-186.00 9785.50 10787.49 7684.18 23876.90 8983.52 15387.94 18082.18 5089.19 11085.07 24782.28 7791.89 15282.40 7192.72 18493.69 111
NR-MVSNet86.00 9786.22 9585.34 11193.24 5764.56 17582.21 19390.46 12880.99 6188.42 12491.97 12577.56 12193.85 7772.46 16398.65 1397.61 13
v1885.99 9986.55 9084.30 13687.73 18062.29 21586.40 10791.49 9676.64 11392.40 5194.20 7773.28 17893.52 10082.87 6593.99 15697.09 30
train_agg85.98 10085.28 11088.07 6892.34 8079.70 6683.94 13890.32 13365.79 21484.49 17990.97 15881.93 8393.63 8581.21 8096.54 8090.88 171
FC-MVSNet-test85.93 10187.05 8082.58 17592.25 8356.44 26185.75 11293.09 4777.33 10591.94 5994.65 5974.78 15293.41 10875.11 13998.58 1597.88 10
Effi-MVS+-dtu85.82 10283.38 15093.14 387.13 19591.15 387.70 7988.42 17074.57 13383.56 19385.65 23478.49 11294.21 6272.04 16692.88 18294.05 98
agg_prior385.76 10384.95 11688.16 6692.43 7779.92 6283.98 13790.03 14865.11 22483.66 19190.64 17381.00 9493.67 8281.21 8096.54 8090.88 171
agg_prior185.72 10485.20 11187.28 8091.58 10177.69 7983.69 14890.30 13766.29 20984.32 18391.07 15582.13 7893.18 11781.02 8396.36 8690.98 166
TAPA-MVS77.73 1285.71 10584.83 11888.37 6388.78 15179.72 6587.15 8993.50 3369.17 18985.80 16289.56 19180.76 9692.13 14673.21 15995.51 11693.25 122
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
canonicalmvs85.50 10686.14 9783.58 15687.97 17167.13 16087.55 8194.32 1273.44 14488.47 12387.54 21886.45 4391.06 17475.76 13593.76 16392.54 137
EPP-MVSNet85.47 10785.04 11386.77 8391.52 10469.37 14591.63 2887.98 17981.51 5887.05 14491.83 13066.18 22395.29 3270.75 17396.89 6995.64 59
FIs85.35 10886.27 9482.60 17491.86 9457.31 25585.10 12093.05 4975.83 12291.02 7193.97 8373.57 17192.91 13173.97 14798.02 3997.58 15
K. test v385.14 10984.73 11986.37 8991.13 11569.63 14485.45 11676.68 26184.06 3292.44 5096.99 862.03 23694.65 5180.58 9193.24 17594.83 80
EI-MVSNet-Vis-set85.12 11084.53 13186.88 8184.01 24072.76 11483.91 14185.18 21680.44 6488.75 11785.49 23680.08 10291.92 15082.02 7490.85 20995.97 49
Regformer-385.06 11184.67 12486.22 9484.27 23473.43 11084.07 13485.26 21480.77 6388.62 12085.48 23780.56 9990.39 19381.99 7591.04 20394.85 79
EI-MVSNet-UG-set85.04 11284.44 13386.85 8283.87 24372.52 11783.82 14385.15 21780.27 6888.75 11785.45 24079.95 10491.90 15181.92 7690.80 21096.13 43
X-MVStestdata85.04 11282.70 15692.08 895.64 2186.25 1692.64 1593.33 3785.07 2589.99 8416.05 33086.57 4195.80 1387.35 1997.62 5294.20 92
MSLP-MVS++85.00 11486.03 9981.90 18491.84 9571.56 13486.75 9893.02 5375.95 12087.12 14089.39 19377.98 11689.40 21077.46 12394.78 14184.75 244
F-COLMAP84.97 11583.42 14989.63 4992.39 7883.40 4588.83 6491.92 8473.19 15080.18 22989.15 19677.04 12893.28 11465.82 21492.28 19192.21 147
v784.81 11685.00 11484.23 13788.15 16863.27 19183.79 14691.39 10871.10 17690.07 8191.28 14274.04 16193.63 8581.48 7993.67 16695.79 52
3Dnovator80.37 784.80 11784.71 12285.06 11486.36 20974.71 10388.77 6690.00 14975.65 12484.96 17093.17 9874.06 15991.19 17078.28 11791.09 20189.29 198
IterMVS-LS84.73 11884.98 11583.96 14487.35 18863.66 18383.25 16389.88 15176.06 11789.62 10192.37 12073.40 17692.52 13978.16 11894.77 14395.69 57
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MVS_111021_HR84.63 11984.34 14085.49 11090.18 13175.86 9979.23 23387.13 19273.35 14585.56 16689.34 19483.60 6290.50 19176.64 13194.05 15590.09 193
HQP-MVS84.61 12084.06 14386.27 9291.19 11170.66 13884.77 12292.68 6473.30 14680.55 22490.17 18272.10 19794.61 5277.30 12694.47 14993.56 116
v119284.57 12184.69 12384.21 13887.75 17962.88 19883.02 16891.43 10469.08 19089.98 8690.89 16272.70 19093.62 8982.41 7094.97 13396.13 43
mvs-test184.55 12282.12 16691.84 1787.13 19589.54 585.05 12188.42 17074.57 13380.60 22182.98 26778.49 11293.98 7272.04 16689.77 22392.00 150
FMVSNet184.55 12285.45 10881.85 18790.27 13061.05 23286.83 9488.27 17378.57 9189.66 9795.64 3375.43 14290.68 18669.09 18795.33 12093.82 105
v114484.54 12484.72 12184.00 14287.67 18262.55 20782.97 16990.93 12070.32 18289.80 9390.99 15773.50 17293.48 10481.69 7894.65 14695.97 49
Gipumacopyleft84.44 12586.33 9278.78 22284.20 23773.57 10989.55 5190.44 12984.24 2984.38 18194.89 5176.35 13980.40 27676.14 13396.80 7482.36 272
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
v1neww84.43 12684.66 12583.75 14987.81 17562.34 21283.59 14990.27 14172.33 16289.93 8891.22 14473.28 17893.29 11180.25 9793.25 17395.62 60
v7new84.43 12684.66 12583.75 14987.81 17562.34 21283.59 14990.27 14172.33 16289.93 8891.22 14473.28 17893.29 11180.25 9793.25 17395.62 60
v684.43 12684.66 12583.75 14987.81 17562.34 21283.59 14990.26 14372.33 16289.94 8791.19 14873.30 17793.29 11180.26 9693.26 17295.62 60
testing_284.36 12984.64 12883.50 16286.74 20363.97 18184.56 12890.31 13566.22 21091.62 6394.55 6175.88 14091.95 14977.02 12994.89 13594.56 81
MCST-MVS84.36 12983.93 14685.63 10891.59 9871.58 13383.52 15392.13 7761.82 24683.96 18789.75 18879.93 10593.46 10578.33 11694.34 15191.87 154
VDDNet84.35 13185.39 10981.25 19795.13 2859.32 24485.42 11781.11 24086.41 2287.41 13796.21 2173.61 17090.61 18966.33 20896.85 7093.81 108
v124084.30 13284.51 13283.65 15487.65 18361.26 22882.85 17291.54 9467.94 19990.68 7790.65 17171.71 20393.64 8482.84 6794.78 14196.07 45
MVS_111021_LR84.28 13383.76 14785.83 10689.23 14483.07 4880.99 21483.56 22672.71 15686.07 15889.07 19781.75 8886.19 24077.11 12893.36 16888.24 207
v14419284.24 13484.41 13483.71 15387.59 18561.57 22482.95 17091.03 11867.82 20289.80 9390.49 17473.28 17893.51 10381.88 7794.89 13596.04 47
v192192084.23 13584.37 13983.79 14787.64 18461.71 21982.91 17191.20 11467.94 19990.06 8290.34 17672.04 20093.59 9082.32 7294.91 13496.07 45
VDD-MVS84.23 13584.58 13083.20 16591.17 11465.16 17283.25 16384.97 22279.79 7187.18 13994.27 7374.77 15390.89 18069.24 18596.54 8093.55 118
v114184.16 13784.38 13683.52 15987.32 19061.70 22182.79 17489.74 15271.90 16989.64 9891.12 15172.68 19193.10 12280.39 9593.80 16195.75 54
divwei89l23v2f11284.16 13784.38 13683.52 15987.32 19061.70 22182.79 17489.74 15271.90 16989.64 9891.12 15172.68 19193.10 12280.40 9393.81 16095.75 54
v184.16 13784.38 13683.52 15987.33 18961.71 21982.79 17489.73 15471.89 17189.64 9891.11 15372.72 18893.10 12280.40 9393.79 16295.75 54
v2v48284.09 14084.24 14183.62 15587.13 19561.40 22582.71 17989.71 15572.19 16589.55 10591.41 14170.70 20893.20 11681.02 8393.76 16396.25 41
EG-PatchMatch MVS84.08 14184.11 14283.98 14392.22 8572.61 11682.20 19587.02 19672.63 15788.86 11491.02 15678.52 11191.11 17273.41 15491.09 20188.21 208
DP-MVS Recon84.05 14283.22 15286.52 8791.73 9675.27 10183.23 16592.40 7172.04 16682.04 20588.33 20577.91 11893.95 7566.17 20995.12 12890.34 187
TransMVSNet (Re)84.02 14385.74 10278.85 22191.00 11755.20 27082.29 18987.26 18779.65 7488.38 12695.52 3783.00 6786.88 23267.97 19796.60 7894.45 88
Baseline_NR-MVSNet84.00 14485.90 10078.29 22991.47 10653.44 27982.29 18987.00 19779.06 8389.55 10595.72 3077.20 12486.14 24172.30 16498.51 1895.28 70
TSAR-MVS + GP.83.95 14582.69 15787.72 7389.27 14381.45 5583.72 14781.58 23974.73 13185.66 16386.06 23272.56 19492.69 13575.44 13795.21 12589.01 203
alignmvs83.94 14683.98 14583.80 14687.80 17867.88 15784.54 12991.42 10573.27 14988.41 12587.96 21072.33 19690.83 18176.02 13494.11 15392.69 134
Effi-MVS+83.90 14784.01 14483.57 15787.22 19365.61 17086.55 10592.40 7178.64 9081.34 21584.18 25683.65 6192.93 12974.22 14387.87 24292.17 148
pm-mvs183.69 14884.95 11679.91 20990.04 13659.66 24182.43 18487.44 18475.52 12587.85 13195.26 4281.25 9385.65 24768.74 19196.04 10194.42 89
AdaColmapbinary83.66 14983.69 14883.57 15790.05 13572.26 12286.29 10890.00 14978.19 9681.65 21087.16 22083.40 6494.24 6161.69 23494.76 14484.21 249
MIMVSNet183.63 15084.59 12980.74 20294.06 4262.77 20082.72 17884.53 22477.57 10390.34 7895.92 2676.88 13685.83 24561.88 23297.42 5793.62 113
WR-MVS83.56 15184.40 13581.06 20093.43 5354.88 27178.67 23985.02 22081.24 5990.74 7691.56 13872.85 18691.08 17368.00 19698.04 3697.23 25
CNLPA83.55 15283.10 15584.90 11789.34 14283.87 4384.54 12988.77 16579.09 8283.54 19488.66 20374.87 14981.73 27266.84 20692.29 19089.11 199
LCM-MVSNet-Re83.48 15385.06 11278.75 22385.94 21655.75 26680.05 22094.27 1376.47 11496.09 594.54 6383.31 6589.75 20659.95 24594.89 13590.75 174
V4283.47 15483.37 15183.75 14983.16 24863.33 18981.31 20990.23 14469.51 18790.91 7490.81 16574.16 15892.29 14380.06 9990.22 21895.62 60
VPA-MVSNet83.47 15484.73 11979.69 21390.29 12957.52 25481.30 21188.69 16776.29 11587.58 13494.44 6680.60 9887.20 22866.60 20796.82 7394.34 91
MVS_030583.28 15682.18 16586.58 8486.07 21572.49 11883.49 15891.61 9276.81 11173.06 27386.94 22372.39 19595.33 3176.65 13092.63 18691.93 153
PAPM_NR83.23 15783.19 15483.33 16390.90 11965.98 16788.19 7290.78 12178.13 9780.87 21987.92 21373.49 17392.42 14070.07 17988.40 23391.60 160
CLD-MVS83.18 15882.64 15884.79 12089.05 14667.82 15877.93 24492.52 6968.33 19485.07 16981.54 28582.06 7992.96 12769.35 18497.91 4393.57 115
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ANet_high83.17 15985.68 10475.65 25181.24 26045.26 31079.94 22292.91 5683.83 3391.33 6896.88 1080.25 10185.92 24368.89 18995.89 10795.76 53
114514_t83.10 16082.54 16184.77 12192.90 6569.10 15186.65 10290.62 12554.66 27781.46 21290.81 16576.98 12994.38 5772.62 16296.18 9390.82 173
UGNet82.78 16181.64 17286.21 9686.20 21376.24 9886.86 9285.68 20977.07 10973.76 26892.82 10769.64 20991.82 15569.04 18893.69 16590.56 181
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
LF4IMVS82.75 16281.93 17085.19 11282.08 25480.15 6185.53 11588.76 16668.01 19685.58 16587.75 21471.80 20286.85 23374.02 14693.87 15988.58 206
EI-MVSNet82.61 16382.42 16383.20 16583.25 24663.66 18383.50 15685.07 21876.06 11786.55 15085.10 24573.41 17490.25 19478.15 11990.67 21395.68 58
QAPM82.59 16482.59 16082.58 17586.44 20466.69 16489.94 4390.36 13267.97 19884.94 17292.58 11472.71 18992.18 14570.63 17687.73 24488.85 205
Fast-Effi-MVS+-dtu82.54 16581.41 17585.90 10385.60 21776.53 9483.07 16789.62 15773.02 15379.11 23683.51 26180.74 9790.24 19668.76 19089.29 22590.94 168
MVS_Test82.47 16683.22 15280.22 20882.62 25357.75 25382.54 18391.96 8371.16 17582.89 19892.52 11677.41 12390.50 19180.04 10087.84 24392.40 140
v14882.31 16782.48 16281.81 19085.59 21859.66 24181.47 20786.02 20572.85 15488.05 12890.65 17170.73 20790.91 17975.15 13891.79 19594.87 77
API-MVS82.28 16882.61 15981.30 19586.29 21169.79 14188.71 6787.67 18278.42 9382.15 20484.15 25877.98 11691.59 16165.39 21592.75 18382.51 271
MVSFormer82.23 16981.57 17484.19 14085.54 21969.26 14791.98 2590.08 14671.54 17276.23 25085.07 24758.69 25394.27 5886.26 2788.77 23089.03 201
PCF-MVS74.62 1582.15 17080.92 18285.84 10589.43 14072.30 12180.53 21791.82 8657.36 26587.81 13289.92 18577.67 12093.63 8558.69 25195.08 12991.58 161
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PLCcopyleft73.85 1682.09 17180.31 18787.45 7790.86 12180.29 6085.88 11090.65 12368.17 19576.32 24986.33 22973.12 18392.61 13861.40 23890.02 22189.44 196
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
GBi-Net82.02 17282.07 16781.85 18786.38 20661.05 23286.83 9488.27 17372.43 15886.00 15995.64 3363.78 23190.68 18665.95 21093.34 16993.82 105
test182.02 17282.07 16781.85 18786.38 20661.05 23286.83 9488.27 17372.43 15886.00 15995.64 3363.78 23190.68 18665.95 21093.34 16993.82 105
OpenMVScopyleft76.72 1381.98 17482.00 16981.93 18384.42 23268.22 15588.50 7089.48 15966.92 20581.80 20991.86 12772.59 19390.16 19971.19 17091.25 19987.40 219
PVSNet_Blended_VisFu81.55 17580.49 18684.70 12491.58 10173.24 11284.21 13291.67 9062.86 23880.94 21787.16 22067.27 21892.87 13269.82 18188.94 22987.99 212
DELS-MVS81.44 17681.25 17782.03 18284.27 23462.87 19976.47 25892.49 7070.97 17781.64 21183.83 25975.03 14692.70 13474.29 14292.22 19390.51 183
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
Test481.31 17781.13 17981.88 18684.89 22563.05 19582.37 18690.50 12762.75 23989.00 11388.29 20667.55 21791.68 15973.55 15291.24 20090.89 170
FMVSNet281.31 17781.61 17380.41 20686.38 20658.75 24983.93 14086.58 20072.43 15887.65 13392.98 10263.78 23190.22 19766.86 20493.92 15892.27 145
DI_MVS_plusplus_test81.27 17981.26 17681.29 19684.98 22361.65 22381.98 19887.25 18863.56 23187.56 13589.60 19073.62 16891.83 15472.20 16590.59 21790.38 186
TinyColmap81.25 18082.34 16477.99 23485.33 22160.68 23682.32 18888.33 17271.26 17486.97 14592.22 12477.10 12786.98 23162.37 22995.17 12786.31 229
test_normal81.23 18181.16 17881.43 19484.77 22761.99 21881.46 20886.95 19863.16 23687.22 13889.63 18973.62 16891.65 16072.92 16090.70 21290.65 178
Fast-Effi-MVS+81.04 18280.57 18382.46 17987.50 18663.22 19378.37 24089.63 15668.01 19681.87 20782.08 28082.31 7692.65 13767.10 20288.30 23891.51 163
BH-untuned80.96 18380.99 18080.84 20188.55 15668.23 15480.33 21888.46 16972.79 15586.55 15086.76 22574.72 15491.77 15761.79 23388.99 22882.52 270
112180.86 18479.81 19484.02 14193.93 4578.70 7481.64 20480.18 24555.43 27483.67 19091.15 14971.29 20591.41 16767.95 19893.06 17881.96 278
xiu_mvs_v1_base_debu80.84 18580.14 19082.93 17088.31 16271.73 12979.53 22687.17 18965.43 21879.59 23182.73 27376.94 13090.14 20073.22 15588.33 23486.90 224
xiu_mvs_v1_base80.84 18580.14 19082.93 17088.31 16271.73 12979.53 22687.17 18965.43 21879.59 23182.73 27376.94 13090.14 20073.22 15588.33 23486.90 224
xiu_mvs_v1_base_debi80.84 18580.14 19082.93 17088.31 16271.73 12979.53 22687.17 18965.43 21879.59 23182.73 27376.94 13090.14 20073.22 15588.33 23486.90 224
BH-RMVSNet80.53 18880.22 18981.49 19387.19 19466.21 16677.79 24686.23 20274.21 13683.69 18988.50 20473.25 18290.75 18363.18 22887.90 24187.52 217
EPNet80.37 18978.41 20186.23 9376.75 29473.28 11187.18 8877.45 25576.24 11668.14 29488.93 19965.41 22693.85 7769.47 18396.12 9891.55 162
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MG-MVS80.32 19080.94 18178.47 22888.18 16552.62 28682.29 18985.01 22172.01 16779.24 23592.54 11569.36 21093.36 11070.65 17589.19 22789.45 195
VPNet80.25 19181.68 17175.94 24992.46 7647.98 30576.70 25481.67 23873.45 14384.87 17392.82 10774.66 15586.51 23761.66 23596.85 7093.33 119
MAR-MVS80.24 19278.74 19984.73 12386.87 20278.18 7685.75 11287.81 18165.67 21777.84 23978.50 29873.79 16590.53 19061.59 23790.87 20885.49 238
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
PM-MVS80.20 19379.00 19783.78 14888.17 16686.66 1381.31 20966.81 30969.64 18688.33 12790.19 18064.58 22783.63 26471.99 16890.03 22081.06 295
LFMVS80.15 19480.56 18478.89 22089.19 14555.93 26385.22 11973.78 27582.96 4084.28 18592.72 11157.38 26090.07 20463.80 22395.75 11390.68 176
MSDG80.06 19579.99 19380.25 20783.91 24268.04 15677.51 24989.19 16277.65 10181.94 20683.45 26376.37 13886.31 23963.31 22786.59 25486.41 227
ab-mvs79.67 19680.56 18476.99 23988.48 15956.93 25784.70 12586.06 20468.95 19280.78 22093.08 9975.30 14384.62 25656.78 26090.90 20789.43 197
VNet79.31 19780.27 18876.44 24487.92 17353.95 27575.58 26584.35 22574.39 13582.23 20290.72 16772.84 18784.39 25860.38 24493.98 15790.97 167
diffmvs79.20 19879.04 19679.69 21378.64 28258.90 24681.79 19987.61 18365.07 22573.65 27089.80 18673.10 18487.79 22375.02 14086.63 25392.38 141
PAPR78.84 19978.10 20281.07 19985.17 22260.22 23982.21 19390.57 12662.51 24175.32 25984.61 25474.99 14792.30 14259.48 24988.04 24090.68 176
PVSNet_BlendedMVS78.80 20077.84 20381.65 19284.43 23063.41 18679.49 22990.44 12961.70 24975.43 25787.07 22269.11 21291.44 16560.68 24292.24 19290.11 192
FMVSNet378.80 20078.55 20079.57 21682.89 25056.89 25981.76 20185.77 20869.04 19186.00 15990.44 17551.75 28090.09 20365.95 21093.34 16991.72 157
pmmvs-eth3d78.42 20277.04 20782.57 17787.44 18774.41 10580.86 21679.67 24855.68 27284.69 17690.31 17960.91 23985.42 24862.20 23091.59 19787.88 215
mvs_anonymous78.13 20378.76 19876.23 24879.24 27650.31 29978.69 23884.82 22361.60 25083.09 19792.82 10773.89 16487.01 22968.33 19586.41 25691.37 164
TAMVS78.08 20476.36 21283.23 16490.62 12472.87 11379.08 23480.01 24761.72 24881.35 21486.92 22463.96 23088.78 21450.61 28493.01 18088.04 211
Vis-MVSNet (Re-imp)77.82 20577.79 20477.92 23588.82 15051.29 29183.28 16271.97 28674.04 13782.23 20289.78 18757.38 26089.41 20957.22 25895.41 11893.05 126
OpenMVS_ROBcopyleft70.19 1777.77 20677.46 20578.71 22484.39 23361.15 23081.18 21382.52 23062.45 24383.34 19587.37 21966.20 22288.66 21764.69 21885.02 26986.32 228
MDA-MVSNet-bldmvs77.47 20776.90 20879.16 21979.03 27864.59 17466.58 30175.67 26573.15 15188.86 11488.99 19866.94 21981.23 27364.71 21788.22 23991.64 159
jason77.42 20875.75 21882.43 18087.10 19869.27 14677.99 24381.94 23651.47 29777.84 23985.07 24760.32 24289.00 21170.74 17489.27 22689.03 201
jason: jason.
CDS-MVSNet77.32 20975.40 22083.06 16789.00 14872.48 11977.90 24582.17 23360.81 25378.94 23783.49 26259.30 25088.76 21554.64 27492.37 18987.93 214
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
xiu_mvs_v2_base77.19 21076.75 20978.52 22787.01 20061.30 22775.55 26687.12 19461.24 25274.45 26578.79 29777.20 12490.93 17764.62 22084.80 27383.32 260
MVSTER77.09 21175.70 21981.25 19775.27 30861.08 23177.49 25085.07 21860.78 25486.55 15088.68 20243.14 31190.25 19473.69 15090.67 21392.42 138
PS-MVSNAJ77.04 21276.53 21178.56 22687.09 19961.40 22575.26 26787.13 19261.25 25174.38 26677.22 30376.94 13090.94 17664.63 21984.83 27283.35 259
IterMVS76.91 21376.34 21378.64 22580.91 26464.03 17976.30 25979.03 24964.88 22883.11 19689.16 19559.90 24684.46 25768.61 19385.15 26887.42 218
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MVS_dtu76.84 21475.19 22281.80 19182.87 25162.54 20882.78 17785.63 21065.12 22364.44 31082.73 27355.61 26992.24 14467.42 20190.13 21990.61 179
TR-MVS76.77 21575.79 21679.72 21286.10 21465.79 16977.14 25183.02 22865.20 22281.40 21382.10 27966.30 22190.73 18555.57 26785.27 26582.65 266
USDC76.63 21676.73 21076.34 24683.46 24457.20 25680.02 22188.04 17752.14 29283.65 19291.25 14363.24 23486.65 23654.66 27394.11 15385.17 239
BH-w/o76.57 21776.07 21578.10 23286.88 20165.92 16877.63 24786.33 20165.69 21680.89 21879.95 29368.97 21490.74 18453.01 27985.25 26677.62 300
Patchmtry76.56 21877.46 20573.83 25879.37 27546.60 30782.41 18576.90 25873.81 14085.56 16692.38 11748.07 28983.98 26163.36 22695.31 12390.92 169
PVSNet_Blended76.49 21975.40 22079.76 21184.43 23063.41 18675.14 26890.44 12957.36 26575.43 25778.30 29969.11 21291.44 16560.68 24287.70 24584.42 247
lupinMVS76.37 22074.46 22882.09 18185.54 21969.26 14776.79 25280.77 24350.68 30476.23 25082.82 27158.69 25388.94 21269.85 18088.77 23088.07 209
cascas76.29 22174.81 22380.72 20484.47 22962.94 19773.89 27687.34 18555.94 27175.16 26176.53 30663.97 22991.16 17165.00 21690.97 20588.06 210
MVS_test032676.19 22274.70 22480.65 20580.68 26861.16 22981.77 20085.93 20665.03 22663.13 31281.14 28857.18 26391.80 15667.65 20089.79 22288.99 204
RPMNet76.06 22375.79 21676.85 24279.58 27162.64 20282.58 18071.75 29074.80 13075.72 25592.59 11248.69 28784.07 25973.48 15382.91 28383.85 251
GA-MVS75.83 22474.61 22579.48 21881.87 25659.25 24573.42 27982.88 22968.68 19379.75 23081.80 28250.62 28289.46 20766.85 20585.64 26289.72 194
MVP-Stereo75.81 22573.51 23382.71 17389.35 14173.62 10880.06 21985.20 21560.30 25673.96 26787.94 21157.89 25789.45 20852.02 28274.87 31085.06 241
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
wuyk23d75.13 22679.30 19562.63 29875.56 30275.18 10280.89 21573.10 27975.06 12994.76 1595.32 4087.73 3152.85 32834.16 32297.11 6459.85 321
EU-MVSNet75.12 22774.43 22977.18 23883.11 24959.48 24385.71 11482.43 23139.76 32585.64 16488.76 20044.71 30787.88 22273.86 14985.88 26084.16 250
HyFIR lowres test75.12 22772.66 24082.50 17891.44 10765.19 17172.47 28187.31 18646.79 31380.29 22784.30 25552.70 27892.10 14851.88 28386.73 25290.22 188
CMPMVSbinary59.41 2075.12 22773.57 23279.77 21075.84 30067.22 15981.21 21282.18 23250.78 30276.50 24687.66 21655.20 27282.99 26662.17 23190.64 21689.09 200
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
pmmvs474.92 23072.98 23880.73 20384.95 22471.71 13276.23 26077.59 25452.83 28677.73 24286.38 22856.35 26484.97 25257.72 25787.05 25085.51 237
1112_ss74.82 23173.74 23078.04 23389.57 13960.04 24076.49 25787.09 19554.31 27873.66 26979.80 29460.25 24386.76 23558.37 25284.15 27687.32 220
Patchmatch-RL test74.48 23273.68 23176.89 24184.83 22666.54 16572.29 28269.16 30057.70 26386.76 14686.33 22945.79 29882.59 26869.63 18290.65 21581.54 286
PatchMatch-RL74.48 23273.22 23578.27 23087.70 18185.26 3075.92 26170.09 29564.34 23076.09 25281.25 28765.87 22578.07 28153.86 27683.82 27771.48 311
XXY-MVS74.44 23476.19 21469.21 27884.61 22852.43 28771.70 28477.18 25660.73 25580.60 22190.96 16075.44 14169.35 30256.13 26388.33 23485.86 234
CR-MVSNet74.00 23573.04 23776.85 24279.58 27162.64 20282.58 18076.90 25850.50 30575.72 25592.38 11748.07 28984.07 25968.72 19282.91 28383.85 251
Test_1112_low_res73.90 23673.08 23676.35 24590.35 12855.95 26273.40 28086.17 20350.70 30373.14 27185.94 23358.31 25585.90 24456.51 26183.22 28087.20 221
test20.0373.75 23774.59 22771.22 27281.11 26251.12 29370.15 28972.10 28570.42 18080.28 22891.50 13964.21 22874.72 29246.96 30194.58 14787.82 216
131473.22 23872.56 24375.20 25280.41 27057.84 25181.64 20485.36 21351.68 29573.10 27276.65 30561.45 23885.19 25063.54 22479.21 30182.59 267
MVS73.21 23972.59 24275.06 25380.97 26360.81 23581.64 20485.92 20746.03 31671.68 28077.54 30068.47 21589.77 20555.70 26685.39 26374.60 306
HY-MVS64.64 1873.03 24072.47 24474.71 25583.36 24554.19 27382.14 19681.96 23456.76 27069.57 29086.21 23160.03 24484.83 25549.58 29082.65 28585.11 240
EPNet_dtu72.87 24171.33 25177.49 23777.72 28860.55 23782.35 18775.79 26366.49 20858.39 32581.06 28953.68 27685.98 24253.55 27792.97 18185.95 232
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Patchmatch-test172.75 24272.61 24173.19 26181.62 25855.86 26478.89 23671.37 29261.73 24774.93 26282.15 27860.46 24181.80 27059.68 24782.63 28781.92 280
CVMVSNet72.62 24371.41 25076.28 24783.25 24660.34 23883.50 15679.02 25037.77 32676.33 24885.10 24549.60 28587.41 22670.54 17777.54 30681.08 293
CHOSEN 1792x268872.45 24470.56 25378.13 23190.02 13763.08 19468.72 29283.16 22742.99 32275.92 25385.46 23957.22 26285.18 25149.87 28881.67 28986.14 230
testgi72.36 24574.61 22565.59 29180.56 26942.82 31868.29 29373.35 27866.87 20681.84 20889.93 18472.08 19966.92 31046.05 30392.54 18787.01 223
FPMVS72.29 24672.00 24673.14 26288.63 15585.00 3274.65 27167.39 30371.94 16877.80 24187.66 21650.48 28375.83 28849.95 28679.51 29758.58 323
FMVSNet572.10 24771.69 24873.32 25981.57 25953.02 28276.77 25378.37 25163.31 23476.37 24791.85 12836.68 32178.98 28047.87 29792.45 18887.95 213
PAPM71.77 24870.06 25976.92 24086.39 20553.97 27476.62 25586.62 19953.44 28363.97 31184.73 25357.79 25892.34 14139.65 31381.33 29284.45 246
IB-MVS62.13 1971.64 24968.97 26379.66 21580.80 26762.26 21773.94 27576.90 25863.27 23568.63 29376.79 30433.83 32491.84 15359.28 25087.26 24884.88 242
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
UnsupCasMVSNet_eth71.63 25072.30 24569.62 27676.47 29652.70 28570.03 29080.97 24259.18 25979.36 23488.21 20760.50 24069.12 30358.33 25477.62 30587.04 222
no-one71.52 25170.43 25674.81 25478.45 28463.41 18657.73 31877.03 25751.46 29877.17 24490.33 17754.96 27480.35 27747.41 29899.29 280.68 297
Anonymous2023120671.38 25271.88 24769.88 27386.31 21054.37 27270.39 28874.62 27152.57 28876.73 24588.76 20059.94 24572.06 29544.35 30693.23 17683.23 262
MIMVSNet71.09 25371.59 24969.57 27787.23 19250.07 30078.91 23571.83 28860.20 25771.26 28291.76 13355.08 27376.09 28641.06 31187.02 25182.54 269
MS-PatchMatch70.93 25470.22 25773.06 26381.85 25762.50 20973.82 27777.90 25252.44 28975.92 25381.27 28655.67 26881.75 27155.37 26977.70 30474.94 305
pmmvs570.73 25570.07 25872.72 26577.03 29352.73 28474.14 27375.65 26650.36 30672.17 27885.37 24355.42 27180.67 27552.86 28087.59 24684.77 243
PatchT70.52 25672.76 23963.79 29779.38 27433.53 32677.63 24765.37 31173.61 14171.77 27992.79 11044.38 30875.65 28964.53 22185.37 26482.18 275
testmv70.47 25770.70 25269.77 27586.22 21253.89 27667.32 29871.91 28763.32 23378.16 23889.47 19256.12 26673.10 29336.43 31987.33 24782.33 273
N_pmnet70.20 25868.80 26574.38 25680.91 26484.81 3559.12 31576.45 26255.06 27575.31 26082.36 27755.74 26754.82 32747.02 30087.24 24983.52 255
tpmvs70.16 25969.56 26171.96 27074.71 31248.13 30379.63 22475.45 26765.02 22770.26 28781.88 28145.34 30285.68 24658.34 25375.39 30982.08 276
new-patchmatchnet70.10 26073.37 23460.29 30681.23 26116.95 33359.54 31274.62 27162.93 23780.97 21687.93 21262.83 23571.90 29655.24 27095.01 13292.00 150
YYNet170.06 26170.44 25468.90 27973.76 31453.42 28058.99 31667.20 30558.42 26187.10 14185.39 24259.82 24767.32 30759.79 24683.50 27985.96 231
MDA-MVSNet_test_wron70.05 26270.44 25468.88 28073.84 31353.47 27858.93 31767.28 30458.43 26087.09 14285.40 24159.80 24867.25 30859.66 24883.54 27885.92 233
CostFormer69.98 26368.68 26673.87 25777.14 29150.72 29779.26 23274.51 27351.94 29470.97 28584.75 25245.16 30587.49 22555.16 27179.23 30083.40 258
PatchmatchNetpermissive69.71 26468.83 26472.33 26877.66 28953.60 27779.29 23169.99 29657.66 26472.53 27582.93 27046.45 29380.08 27960.91 24172.09 31583.31 261
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmp4_e2369.43 26567.33 27275.72 25078.53 28352.75 28382.13 19774.91 26849.23 31066.37 29984.17 25741.28 31588.67 21649.73 28979.63 29685.75 235
LP69.42 26668.30 26872.77 26471.48 32556.84 26073.66 27874.84 26963.52 23270.95 28683.35 26549.55 28677.15 28457.13 25970.21 31884.33 248
JIA-IIPM69.41 26766.64 27777.70 23673.19 31771.24 13575.67 26365.56 31070.42 18065.18 30592.97 10333.64 32583.06 26553.52 27869.61 32278.79 299
UnsupCasMVSNet_bld69.21 26869.68 26067.82 28579.42 27351.15 29267.82 29775.79 26354.15 27977.47 24385.36 24459.26 25170.64 29848.46 29479.35 29981.66 284
gg-mvs-nofinetune68.96 26969.11 26268.52 28476.12 29945.32 30983.59 14955.88 32686.68 2064.62 30997.01 730.36 32883.97 26244.78 30582.94 28276.26 303
tpm268.45 27066.83 27473.30 26078.93 27948.50 30279.76 22371.76 28947.50 31269.92 28983.60 26042.07 31488.40 21848.44 29579.51 29783.01 265
tpm67.95 27168.08 27067.55 28678.74 28143.53 31675.60 26467.10 30854.92 27672.23 27788.10 20842.87 31275.97 28752.21 28180.95 29583.15 263
PatchFormer-LS_test67.91 27266.49 27872.17 26975.29 30751.85 28975.68 26273.62 27757.23 26768.64 29168.13 32242.19 31382.76 26764.06 22273.51 31281.89 281
WTY-MVS67.91 27268.35 26766.58 28980.82 26648.12 30465.96 30272.60 28153.67 28271.20 28381.68 28458.97 25269.06 30448.57 29381.67 28982.55 268
test-LLR67.21 27466.74 27568.63 28276.45 29755.21 26867.89 29467.14 30662.43 24465.08 30672.39 31443.41 30969.37 30061.00 23984.89 27081.31 288
sss66.92 27567.26 27365.90 29077.23 29051.10 29464.79 30371.72 29152.12 29370.13 28880.18 29157.96 25665.36 31750.21 28581.01 29481.25 290
tpm cat166.76 27665.21 28171.42 27177.09 29250.62 29878.01 24273.68 27644.89 31868.64 29179.00 29645.51 29982.42 26949.91 28770.15 31981.23 292
DWT-MVSNet_test66.43 27764.37 28272.63 26674.86 31150.86 29676.52 25672.74 28054.06 28065.50 30368.30 32132.13 32684.84 25461.63 23673.59 31182.19 274
PVSNet58.17 2166.41 27865.63 28068.75 28181.96 25549.88 30162.19 30872.51 28351.03 30068.04 29575.34 31050.84 28174.77 29045.82 30482.96 28181.60 285
tpmrst66.28 27966.69 27665.05 29572.82 32139.33 32178.20 24170.69 29453.16 28567.88 29680.36 29048.18 28874.75 29158.13 25570.79 31781.08 293
Patchmatch-test65.91 28067.38 27161.48 30375.51 30443.21 31768.84 29163.79 31362.48 24272.80 27483.42 26444.89 30659.52 32448.27 29686.45 25581.70 282
ADS-MVSNet265.87 28163.64 28672.55 26773.16 31856.92 25867.10 29974.81 27049.74 30766.04 30182.97 26846.71 29177.26 28242.29 30869.96 32083.46 256
test123567865.57 28265.73 27965.06 29482.84 25250.90 29562.90 30669.26 29857.17 26872.36 27683.04 26646.02 29570.10 29932.79 32485.24 26774.19 307
test-mter65.00 28363.79 28468.63 28276.45 29755.21 26867.89 29467.14 30650.98 30165.08 30672.39 31428.27 33169.37 30061.00 23984.89 27081.31 288
test0.0.03 164.66 28464.36 28365.57 29275.03 31046.89 30664.69 30461.58 31962.43 24471.18 28477.54 30043.41 30968.47 30540.75 31282.65 28581.35 287
pmmvs362.47 28560.02 29869.80 27471.58 32464.00 18070.52 28758.44 32339.77 32466.05 30075.84 30727.10 33372.28 29446.15 30284.77 27473.11 309
EPMVS62.47 28562.63 28962.01 29970.63 32638.74 32274.76 26952.86 32853.91 28167.71 29780.01 29239.40 31966.60 31255.54 26868.81 32480.68 297
testus62.33 28763.03 28760.20 30778.78 28040.74 31959.14 31369.80 29749.26 30971.41 28174.72 31252.33 27963.52 31929.84 32682.01 28876.36 302
ADS-MVSNet61.90 28862.19 29061.03 30573.16 31836.42 32467.10 29961.75 31749.74 30766.04 30182.97 26846.71 29163.21 32142.29 30869.96 32083.46 256
111161.71 28963.77 28555.55 31278.05 28525.74 33060.62 30967.52 30166.09 21174.68 26386.50 22616.00 33659.22 32538.79 31485.65 26181.70 282
PMMVS61.65 29060.38 29565.47 29365.40 33069.26 14763.97 30561.73 31836.80 32760.11 31868.43 31859.42 24966.35 31348.97 29278.57 30260.81 320
E-PMN61.59 29161.62 29161.49 30266.81 32755.40 26753.77 32260.34 32066.80 20758.90 32365.50 32440.48 31866.12 31455.72 26586.25 25862.95 319
TESTMET0.1,161.29 29260.32 29664.19 29672.06 32251.30 29067.89 29462.09 31545.27 31760.65 31769.01 31727.93 33264.74 31856.31 26281.65 29176.53 301
MVS-HIRNet61.16 29362.92 28855.87 31079.09 27735.34 32571.83 28357.98 32546.56 31459.05 32291.14 15049.95 28476.43 28538.74 31671.92 31655.84 324
EMVS61.10 29460.81 29461.99 30065.96 32955.86 26453.10 32358.97 32267.06 20356.89 32763.33 32540.98 31667.03 30954.79 27286.18 25963.08 318
DSMNet-mixed60.98 29561.61 29259.09 30972.88 32045.05 31274.70 27046.61 33226.20 32865.34 30490.32 17855.46 27063.12 32241.72 31081.30 29369.09 315
dp60.70 29660.29 29761.92 30172.04 32338.67 32370.83 28564.08 31251.28 29960.75 31677.28 30236.59 32271.58 29747.41 29862.34 32675.52 304
CHOSEN 280x42059.08 29756.52 30266.76 28876.51 29564.39 17749.62 32559.00 32143.86 32055.66 32868.41 32035.55 32368.21 30643.25 30776.78 30867.69 316
testpf58.55 29861.58 29349.48 31566.03 32840.05 32074.40 27258.07 32464.72 22959.36 32072.67 31322.76 33466.92 31067.07 20369.15 32341.46 326
test235656.69 29955.15 30361.32 30473.20 31644.11 31454.95 32062.52 31448.75 31162.45 31468.42 31921.10 33565.67 31626.86 32878.08 30374.19 307
PVSNet_051.08 2256.10 30054.97 30459.48 30875.12 30953.28 28155.16 31961.89 31644.30 31959.16 32162.48 32654.22 27565.91 31535.40 32147.01 32759.25 322
new_pmnet55.69 30157.66 30049.76 31475.47 30530.59 32759.56 31151.45 33043.62 32162.49 31375.48 30840.96 31749.15 33037.39 31872.52 31369.55 314
PMMVS255.64 30259.27 29944.74 31764.30 33112.32 33440.60 32649.79 33153.19 28465.06 30884.81 25153.60 27749.76 32932.68 32589.41 22472.15 310
test1235654.91 30357.14 30148.22 31675.83 30117.47 33252.31 32469.20 29951.66 29660.11 31875.40 30929.77 33062.62 32327.64 32772.37 31464.59 317
PNet_i23d52.13 30451.24 30654.79 31375.56 30245.26 31054.54 32152.55 32966.95 20457.19 32665.82 32313.15 33863.40 32036.39 32039.04 32955.71 325
MVEpermissive40.22 2351.82 30550.47 30755.87 31062.66 33251.91 28831.61 32839.28 33340.65 32350.76 32974.98 31156.24 26544.67 33133.94 32364.11 32571.04 313
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
.test124548.02 30654.41 30528.84 31978.05 28525.74 33060.62 30967.52 30166.09 21174.68 26386.50 22616.00 33659.22 32538.79 3141.47 3311.55 330
pcd1.5k->3k38.83 30741.11 30832.01 31893.13 600.00 3380.00 32991.38 1090.00 3330.00 3340.00 33589.24 160.00 3360.00 33396.24 9296.02 48
cdsmvs_eth3d_5k20.81 30827.75 3090.00 3240.00 3370.00 3380.00 32985.44 2120.00 3330.00 33482.82 27181.46 900.00 3360.00 3330.00 3340.00 332
tmp_tt20.25 30924.50 3107.49 3214.47 3348.70 33534.17 32725.16 3351.00 33032.43 33118.49 32939.37 3209.21 33321.64 32943.75 3284.57 328
ab-mvs-re6.65 3108.87 3110.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 33479.80 2940.00 3410.00 3360.00 3330.00 3340.00 332
pcd_1.5k_mvsjas6.41 3118.55 3120.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 33576.94 1300.00 3360.00 3330.00 3340.00 332
test1236.27 3128.08 3130.84 3221.11 3360.57 33662.90 3060.82 3370.54 3311.07 3332.75 3341.26 3390.30 3341.04 3311.26 3331.66 329
testmvs5.91 3137.65 3140.72 3231.20 3350.37 33759.14 3130.67 3380.49 3321.11 3322.76 3330.94 3400.24 3351.02 3321.47 3311.55 330
sosnet-low-res0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
sosnet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
uncertanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
Regformer0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
uanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
sam_mvs146.11 294
sam_mvs45.92 297
semantic-postprocess84.34 13583.93 24169.66 14381.09 24172.43 15886.47 15690.19 18057.56 25993.15 12177.45 12486.39 25790.22 188
ambc82.98 16890.55 12764.86 17388.20 7189.15 16389.40 10893.96 8571.67 20491.38 16978.83 11296.55 7992.71 133
MTGPAbinary91.81 87
test_post178.85 2373.13 33145.19 30480.13 27858.11 256
test_post3.10 33245.43 30077.22 283
patchmatchnet-post81.71 28345.93 29687.01 229
GG-mvs-BLEND67.16 28773.36 31546.54 30884.15 13355.04 32758.64 32461.95 32729.93 32983.87 26338.71 31776.92 30771.07 312
MTMP33.14 334
gm-plane-assit75.42 30644.97 31352.17 29072.36 31687.90 22154.10 275
test9_res80.83 8796.45 8590.57 180
TEST992.34 8079.70 6683.94 13890.32 13365.41 22184.49 17990.97 15882.03 8193.63 85
test_892.09 8778.87 7283.82 14390.31 13565.79 21484.36 18290.96 16081.93 8393.44 106
agg_prior279.68 10496.16 9490.22 188
agg_prior91.58 10177.69 7990.30 13784.32 18393.18 117
TestCases89.68 4791.59 9883.40 4595.44 579.47 7588.00 12993.03 10082.66 7191.47 16370.81 17196.14 9694.16 95
test_prior478.97 7184.59 127
test_prior283.37 16075.43 12684.58 17791.57 13681.92 8579.54 10696.97 67
test_prior86.32 9090.59 12571.99 12692.85 5894.17 6592.80 130
旧先验281.73 20256.88 26986.54 15584.90 25372.81 161
新几何281.72 203
新几何182.95 16993.96 4478.56 7580.24 24455.45 27383.93 18891.08 15471.19 20688.33 21965.84 21393.07 17781.95 279
旧先验191.97 9071.77 12881.78 23791.84 12973.92 16393.65 16783.61 254
无先验82.81 17385.62 21158.09 26291.41 16767.95 19884.48 245
原ACMM282.26 192
原ACMM184.60 12692.81 7074.01 10791.50 9562.59 24082.73 20090.67 17076.53 13794.25 6069.24 18595.69 11585.55 236
test22293.31 5576.54 9279.38 23077.79 25352.59 28782.36 20190.84 16466.83 22091.69 19681.25 290
testdata286.43 23863.52 225
segment_acmp81.94 82
testdata79.54 21792.87 6672.34 12080.14 24659.91 25885.47 16891.75 13467.96 21685.24 24968.57 19492.18 19481.06 295
testdata179.62 22573.95 139
test1286.57 8590.74 12272.63 11590.69 12282.76 19979.20 10794.80 4895.32 12192.27 145
plane_prior793.45 5177.31 85
plane_prior692.61 7176.54 9274.84 150
plane_prior593.61 3095.22 3680.78 8895.83 11094.46 86
plane_prior492.95 104
plane_prior376.85 9077.79 9986.55 150
plane_prior289.45 5679.44 77
plane_prior192.83 69
plane_prior76.42 9587.15 8975.94 12195.03 131
n20.00 339
nn0.00 339
door-mid74.45 274
lessismore_v085.95 10191.10 11670.99 13770.91 29391.79 6094.42 6761.76 23792.93 12979.52 10893.03 17993.93 102
LGP-MVS_train90.82 3494.75 3581.69 5194.27 1382.35 4693.67 3094.82 5491.18 695.52 2485.36 3498.73 895.23 72
test1191.46 101
door72.57 282
HQP5-MVS70.66 138
HQP-NCC91.19 11184.77 12273.30 14680.55 224
ACMP_Plane91.19 11184.77 12273.30 14680.55 224
BP-MVS77.30 126
HQP4-MVS80.56 22394.61 5293.56 116
HQP3-MVS92.68 6494.47 149
HQP2-MVS72.10 197
NP-MVS91.95 9174.55 10490.17 182
MDTV_nov1_ep13_2view27.60 32970.76 28646.47 31561.27 31545.20 30349.18 29183.75 253
MDTV_nov1_ep1368.29 26978.03 28743.87 31574.12 27472.22 28452.17 29067.02 29885.54 23545.36 30180.85 27455.73 26484.42 275
ACMMP++_ref95.74 114
ACMMP++97.35 58
Test By Simon79.09 108
ITE_SJBPF90.11 4590.72 12384.97 3390.30 13781.56 5790.02 8391.20 14782.40 7590.81 18273.58 15194.66 14594.56 81
DeepMVS_CXcopyleft24.13 32032.95 33329.49 32821.63 33612.07 32937.95 33045.07 32830.84 32719.21 33217.94 33033.06 33023.69 327