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 bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
HPM-MVS++89.02 389.15 388.63 195.01 176.03 192.38 1492.85 3280.26 1387.78 1194.27 1675.89 796.81 787.45 996.44 193.05 61
MPTG87.53 1487.41 1587.90 1494.18 1974.25 290.23 4792.02 5779.45 1885.88 1894.80 468.07 5696.21 2686.69 1095.34 1793.23 53
MTAPA87.23 2087.00 2087.90 1494.18 1974.25 286.58 15992.02 5779.45 1885.88 1894.80 468.07 5696.21 2686.69 1095.34 1793.23 53
MP-MVScopyleft87.71 1187.64 1287.93 1394.36 1473.88 492.71 1392.65 3977.57 3483.84 4794.40 1572.24 3096.28 2485.65 1395.30 2193.62 42
CP-MVS87.11 2286.92 2287.68 2494.20 1873.86 593.98 192.82 3576.62 5683.68 4994.46 1167.93 5895.95 3484.20 2794.39 3693.23 53
CNVR-MVS88.93 489.13 488.33 394.77 273.82 690.51 3993.00 2480.90 988.06 994.06 2476.43 496.84 688.48 495.99 494.34 14
NCCC88.06 788.01 1088.24 594.41 1273.62 791.22 3092.83 3381.50 685.79 2193.47 3373.02 2497.00 584.90 1794.94 2494.10 20
ACMMPR87.44 1587.23 1788.08 794.64 373.59 893.04 593.20 1776.78 5184.66 3594.52 768.81 5496.65 1384.53 2294.90 2594.00 27
region2R87.42 1787.20 1888.09 694.63 473.55 993.03 793.12 2076.73 5484.45 3894.52 769.09 5296.70 1184.37 2594.83 2894.03 24
mPP-MVS86.67 2886.32 2987.72 2194.41 1273.55 992.74 1192.22 5076.87 4982.81 6094.25 1766.44 7196.24 2582.88 3994.28 3993.38 48
HFP-MVS87.58 1387.47 1487.94 1094.58 573.54 1193.04 593.24 1576.78 5184.91 2994.44 1270.78 3896.61 1584.53 2294.89 2693.66 35
#test#87.33 1987.13 1987.94 1094.58 573.54 1192.34 1593.24 1575.23 7884.91 2994.44 1270.78 3896.61 1583.75 3094.89 2693.66 35
3Dnovator+77.84 485.48 4384.47 5188.51 291.08 6373.49 1393.18 493.78 580.79 1076.66 14193.37 3460.40 15996.75 1077.20 7793.73 4495.29 1
HSP-MVS89.28 189.76 187.85 1794.28 1573.46 1492.90 892.73 3680.27 1291.35 194.16 2078.35 296.77 889.59 194.22 4193.33 51
PGM-MVS86.68 2786.27 3087.90 1494.22 1773.38 1590.22 4893.04 2175.53 7283.86 4694.42 1467.87 6096.64 1482.70 4094.57 3293.66 35
XVS87.18 2186.91 2388.00 894.42 1073.33 1692.78 992.99 2679.14 2083.67 5094.17 1967.45 6396.60 1783.06 3594.50 3394.07 22
X-MVStestdata80.37 11577.83 15188.00 894.42 1073.33 1692.78 992.99 2679.14 2083.67 5012.47 32967.45 6396.60 1783.06 3594.50 3394.07 22
ACMMP_Plus88.05 988.08 987.94 1093.70 2373.05 1890.86 3393.59 776.27 6488.14 795.09 371.06 3696.67 1287.67 696.37 294.09 21
TEST993.26 3372.96 1988.75 8391.89 6668.44 18985.00 2793.10 3974.36 1695.41 47
train_agg86.43 3086.20 3187.13 3293.26 3372.96 1988.75 8391.89 6668.69 18585.00 2793.10 3974.43 1395.41 4784.97 1595.71 1093.02 62
SteuartSystems-ACMMP88.72 588.86 588.32 492.14 5272.96 1993.73 393.67 680.19 1488.10 894.80 473.76 2097.11 287.51 895.82 894.90 4
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator76.31 583.38 6382.31 6986.59 4287.94 13572.94 2290.64 3792.14 5477.21 4175.47 15592.83 4758.56 16694.72 7473.24 11792.71 5092.13 86
agg_prior386.16 3585.85 3787.10 3393.31 3072.86 2388.77 8191.68 7668.29 19184.26 4292.83 4772.83 2595.42 4684.97 1595.71 1093.02 62
SD-MVS88.06 788.50 786.71 3992.60 4872.71 2491.81 2393.19 1877.87 3190.32 394.00 2574.83 1093.78 11387.63 794.27 4093.65 40
MVS_111021_HR85.14 5084.75 5086.32 4791.65 5872.70 2585.98 17590.33 11576.11 6682.08 6591.61 6471.36 3594.17 9381.02 4792.58 5192.08 87
ACMMPcopyleft85.89 3985.39 4187.38 2793.59 2772.63 2692.74 1193.18 1976.78 5180.73 8193.82 2864.33 8696.29 2382.67 4190.69 6693.23 53
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
test_prior472.60 2789.01 74
test_893.13 3572.57 2888.68 8691.84 6968.69 18584.87 3393.10 3974.43 1395.16 55
TSAR-MVS + GP.85.71 4185.33 4286.84 3691.34 6072.50 2989.07 7387.28 20176.41 5885.80 2090.22 9174.15 1995.37 5181.82 4491.88 5492.65 71
CSCG86.41 3286.19 3287.07 3492.91 4072.48 3090.81 3493.56 873.95 9583.16 5591.07 7575.94 695.19 5479.94 5794.38 3793.55 44
MCST-MVS87.37 1887.25 1687.73 1994.53 772.46 3189.82 5393.82 473.07 11584.86 3492.89 4576.22 596.33 2284.89 1995.13 2294.40 12
APD-MVScopyleft87.44 1587.52 1387.19 3094.24 1672.39 3291.86 2292.83 3373.01 11688.58 694.52 773.36 2196.49 2084.26 2695.01 2392.70 68
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
DeepC-MVS_fast79.65 386.91 2586.62 2687.76 1893.52 2872.37 3391.26 2793.04 2176.62 5684.22 4393.36 3571.44 3496.76 980.82 5095.33 1994.16 18
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS79.81 287.08 2486.88 2487.69 2391.16 6272.32 3490.31 4593.94 377.12 4382.82 5994.23 1872.13 3197.09 384.83 2095.37 1693.65 40
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
HPM-MVS87.11 2286.98 2187.50 2693.88 2272.16 3592.19 1893.33 1476.07 6783.81 4893.95 2669.77 4796.01 3185.15 1494.66 3094.32 15
TSAR-MVS + MP.88.02 1088.11 887.72 2193.68 2572.13 3691.41 2692.35 4774.62 8788.90 593.85 2775.75 896.00 3287.80 594.63 3195.04 2
MP-MVS-pluss87.67 1287.72 1187.54 2593.64 2672.04 3789.80 5593.50 975.17 8186.34 1695.29 270.86 3796.00 3288.78 396.04 394.58 7
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
agg_prior186.22 3486.09 3486.62 4192.85 4171.94 3888.59 8891.78 7268.96 18284.41 3993.18 3874.94 994.93 6484.75 2195.33 1993.01 64
agg_prior92.85 4171.94 3891.78 7284.41 3994.93 64
APDe-MVS89.15 289.63 287.73 1994.49 871.69 4093.83 293.96 275.70 7091.06 296.03 176.84 397.03 489.09 295.65 1394.47 11
MVS_111021_LR82.61 7282.11 7084.11 9088.82 10971.58 4185.15 19286.16 21474.69 8680.47 8291.04 7662.29 12790.55 21280.33 5490.08 7390.20 146
MAR-MVS81.84 8180.70 8785.27 6091.32 6171.53 4289.82 5390.92 9669.77 16378.50 9986.21 19262.36 12694.52 7965.36 18192.05 5389.77 166
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
Regformer-286.63 2986.53 2786.95 3589.33 9171.24 4388.43 9192.05 5682.50 186.88 1490.09 9374.45 1295.61 3884.38 2490.63 6794.01 26
CDPH-MVS85.76 4085.29 4587.17 3193.49 2971.08 4488.58 8992.42 4568.32 19084.61 3693.48 3172.32 2996.15 2979.00 5995.43 1594.28 17
CNLPA78.08 16376.79 16981.97 16490.40 7271.07 4587.59 11784.55 22766.03 21172.38 19689.64 10157.56 17386.04 26059.61 22483.35 14288.79 189
PHI-MVS86.43 3086.17 3387.24 2990.88 6770.96 4692.27 1794.07 172.45 12785.22 2591.90 5769.47 4996.42 2183.28 3395.94 594.35 13
OPM-MVS83.50 5982.95 6185.14 6388.79 11270.95 4789.13 7291.52 8177.55 3780.96 7891.75 5960.71 15194.50 8079.67 5886.51 11789.97 159
Regformer-186.41 3286.33 2886.64 4089.33 9170.93 4888.43 9191.39 8682.14 386.65 1590.09 9374.39 1595.01 6383.97 2990.63 6793.97 28
DP-MVS Recon83.11 6682.09 7186.15 4994.44 970.92 4988.79 8092.20 5170.53 15479.17 9091.03 7864.12 8896.03 3068.39 15990.14 7291.50 101
CPTT-MVS83.73 5583.33 5684.92 7193.28 3270.86 5092.09 2090.38 11068.75 18479.57 8692.83 4760.60 15593.04 15080.92 4991.56 5890.86 117
112180.84 9679.77 10084.05 9393.11 3770.78 5184.66 19985.42 22057.37 28181.76 7092.02 5463.41 9394.12 9467.28 16592.93 4787.26 231
新几何183.42 11293.13 3570.71 5285.48 21957.43 28081.80 6991.98 5563.28 9592.27 17164.60 18892.99 4687.27 230
test1286.80 3792.63 4570.70 5391.79 7182.71 6171.67 3296.16 2894.50 3393.54 45
MVS_030586.01 3685.56 3987.36 2890.03 7870.65 5489.55 6192.48 4081.57 580.80 8091.10 7267.18 6697.13 184.06 2893.27 4594.30 16
HPM-MVS_fast85.35 4784.95 4886.57 4393.69 2470.58 5592.15 1991.62 7773.89 9682.67 6294.09 2362.60 11995.54 4180.93 4892.93 4793.57 43
abl_685.23 4884.95 4886.07 5192.23 5170.48 5690.80 3592.08 5573.51 10585.26 2494.16 2062.75 11295.92 3582.46 4391.30 6191.81 95
MSLP-MVS++85.43 4585.76 3884.45 8091.93 5570.24 5790.71 3692.86 3177.46 4084.22 4392.81 5067.16 6792.94 15280.36 5394.35 3890.16 147
MVSFormer82.85 6982.05 7285.24 6187.35 14970.21 5890.50 4090.38 11068.55 18781.32 7289.47 10561.68 13393.46 12978.98 6090.26 7092.05 89
lupinMVS81.39 9080.27 9584.76 7487.35 14970.21 5885.55 18686.41 20962.85 23981.32 7288.61 12461.68 13392.24 17378.41 6690.26 7091.83 93
xiu_mvs_v1_base_debu80.80 10179.72 10284.03 9587.35 14970.19 6085.56 18388.77 17469.06 17781.83 6688.16 13550.91 22792.85 15478.29 6887.56 10289.06 175
xiu_mvs_v1_base80.80 10179.72 10284.03 9587.35 14970.19 6085.56 18388.77 17469.06 17781.83 6688.16 13550.91 22792.85 15478.29 6887.56 10289.06 175
xiu_mvs_v1_base_debi80.80 10179.72 10284.03 9587.35 14970.19 6085.56 18388.77 17469.06 17781.83 6688.16 13550.91 22792.85 15478.29 6887.56 10289.06 175
API-MVS81.99 7981.23 8184.26 8790.94 6570.18 6391.10 3189.32 14871.51 14278.66 9788.28 13365.26 8095.10 6064.74 18791.23 6287.51 224
OpenMVScopyleft72.83 1079.77 13178.33 14384.09 9185.17 17869.91 6490.57 3890.97 9566.70 20072.17 19891.91 5654.70 19493.96 9961.81 20890.95 6488.41 208
jason81.39 9080.29 9484.70 7586.63 16369.90 6585.95 17686.77 20563.24 23381.07 7789.47 10561.08 14792.15 17478.33 6790.07 7492.05 89
jason: jason.
MVP-Stereo76.12 20074.46 20381.13 18985.37 17769.79 6684.42 20987.95 19065.03 21967.46 25385.33 21053.28 20591.73 18158.01 24083.27 14381.85 288
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
PVSNet_Blended_VisFu82.62 7181.83 7684.96 6890.80 6969.76 6788.74 8591.70 7569.39 16878.96 9288.46 12965.47 7994.87 7074.42 10488.57 8990.24 145
mvs-test180.88 9479.40 11285.29 5985.13 18169.75 6889.28 6488.10 18674.99 8276.44 14586.72 16857.27 17594.26 8973.53 11483.18 14591.87 92
Regformer-485.68 4285.45 4086.35 4488.95 10469.67 6988.29 10091.29 8881.73 485.36 2390.01 9572.62 2795.35 5283.28 3387.57 10094.03 24
test_prior386.73 2686.86 2586.33 4592.61 4669.59 7088.85 7892.97 2975.41 7484.91 2993.54 2974.28 1795.48 4283.31 3195.86 693.91 29
test_prior86.33 4592.61 4669.59 7092.97 2995.48 4293.91 29
APD-MVS_3200maxsize85.97 3785.88 3586.22 4892.69 4469.53 7291.93 2192.99 2673.54 10385.94 1794.51 1065.80 7895.61 3883.04 3792.51 5293.53 46
EPNet83.72 5682.92 6286.14 5084.22 19469.48 7391.05 3285.27 22181.30 776.83 13891.65 6166.09 7495.56 4076.00 8893.85 4393.38 48
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
alignmvs85.48 4385.32 4385.96 5389.51 8769.47 7489.74 5792.47 4176.17 6587.73 1291.46 6970.32 4193.78 11381.51 4588.95 8194.63 6
DP-MVS76.78 19474.57 20083.42 11293.29 3169.46 7588.55 9083.70 23463.98 23070.20 21888.89 11754.01 20194.80 7246.66 28681.88 15986.01 253
canonicalmvs85.91 3885.87 3686.04 5289.84 8269.44 7690.45 4393.00 2476.70 5588.01 1091.23 7173.28 2293.91 10481.50 4688.80 8494.77 5
nrg03083.88 5383.53 5384.96 6886.77 16269.28 7790.46 4292.67 3774.79 8582.95 5691.33 7072.70 2693.09 14780.79 5179.28 18692.50 74
DeepPCF-MVS80.84 188.10 688.56 686.73 3892.24 5069.03 7889.57 6093.39 1377.53 3889.79 494.12 2278.98 196.58 1985.66 1295.72 994.58 7
XVG-OURS80.41 11079.23 12183.97 9985.64 17469.02 7983.03 22690.39 10971.09 14677.63 12591.49 6854.62 19691.35 19375.71 9383.47 14191.54 99
Regformer-385.23 4885.07 4685.70 5588.95 10469.01 8088.29 10089.91 13480.95 885.01 2690.01 9572.45 2894.19 9182.50 4287.57 10093.90 31
PCF-MVS73.52 780.38 11478.84 12785.01 6787.71 14268.99 8183.65 22091.46 8563.00 23677.77 12390.28 8866.10 7395.09 6161.40 21188.22 9690.94 115
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
QAPM80.88 9479.50 11085.03 6688.01 13468.97 8291.59 2492.00 6066.63 20475.15 16892.16 5257.70 17195.45 4463.52 19188.76 8590.66 126
AdaColmapbinary80.58 10879.42 11184.06 9293.09 3868.91 8389.36 6388.97 16569.27 17275.70 15489.69 9957.20 17895.77 3663.06 19588.41 9487.50 225
原ACMM184.35 8493.01 3968.79 8492.44 4263.96 23181.09 7691.57 6566.06 7595.45 4467.19 16794.82 2988.81 188
XVG-OURS-SEG-HR80.81 9979.76 10183.96 10085.60 17568.78 8583.54 22390.50 10770.66 15376.71 14091.66 6060.69 15291.26 19576.94 8181.58 16191.83 93
LPG-MVS_test82.08 7681.27 8084.50 7889.23 9968.76 8690.22 4891.94 6475.37 7676.64 14291.51 6654.29 19794.91 6678.44 6483.78 13989.83 163
LGP-MVS_train84.50 7889.23 9968.76 8691.94 6475.37 7676.64 14291.51 6654.29 19794.91 6678.44 6483.78 13989.83 163
Effi-MVS+-dtu80.03 12478.57 13484.42 8185.13 18168.74 8888.77 8188.10 18674.99 8274.97 17283.49 23257.27 17593.36 13473.53 11480.88 16691.18 109
Vis-MVSNetpermissive83.46 6082.80 6485.43 5790.25 7468.74 8890.30 4690.13 12476.33 6380.87 7992.89 4561.00 14894.20 9072.45 12690.97 6393.35 50
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
HQP_MVS83.64 5783.14 5785.14 6390.08 7668.71 9091.25 2892.44 4279.12 2278.92 9391.00 7960.42 15795.38 4978.71 6286.32 11991.33 104
plane_prior68.71 9090.38 4477.62 3386.16 121
plane_prior689.84 8268.70 9260.42 157
ACMP74.13 681.51 8980.57 8984.36 8389.42 8968.69 9389.97 5191.50 8474.46 8875.04 17190.41 8753.82 20294.54 7677.56 7382.91 14789.86 162
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
plane_prior368.60 9478.44 2978.92 93
CHOSEN 1792x268877.63 17875.69 19083.44 11189.98 7968.58 9578.70 26187.50 19856.38 28675.80 15386.84 16458.67 16591.40 19261.58 21085.75 12690.34 143
plane_prior790.08 7668.51 96
ACMM73.20 880.78 10479.84 9983.58 10889.31 9668.37 9789.99 5091.60 7870.28 15777.25 13189.66 10053.37 20493.53 12774.24 10782.85 14888.85 186
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
pmmvs474.03 21671.91 22080.39 19781.96 25268.32 9881.45 23882.14 25059.32 26669.87 22885.13 21352.40 21088.13 24660.21 22074.74 24084.73 266
NP-MVS89.62 8468.32 9890.24 89
test22291.50 5968.26 10084.16 21483.20 23954.63 29279.74 8491.63 6358.97 16491.42 5986.77 241
CDS-MVSNet79.07 14677.70 15583.17 12287.60 14468.23 10184.40 21086.20 21367.49 19776.36 14686.54 18461.54 13690.79 20961.86 20787.33 10690.49 137
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
PS-MVSNAJ81.69 8381.02 8583.70 10589.51 8768.21 10284.28 21290.09 12570.79 14981.26 7585.62 20463.15 10094.29 8475.62 9588.87 8388.59 200
UGNet80.83 9879.59 10584.54 7788.04 13268.09 10389.42 6288.16 18376.95 4776.22 14789.46 10749.30 24193.94 10168.48 15790.31 6991.60 97
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
UA-Net85.08 5184.96 4785.45 5692.07 5368.07 10489.78 5690.86 9882.48 284.60 3793.20 3769.35 5095.22 5371.39 13990.88 6593.07 60
xiu_mvs_v2_base81.69 8381.05 8483.60 10789.15 10268.03 10584.46 20690.02 12970.67 15281.30 7486.53 18563.17 9994.19 9175.60 9688.54 9188.57 202
DELS-MVS85.41 4685.30 4485.77 5488.49 12067.93 10685.52 18993.44 1178.70 2783.63 5289.03 11674.57 1195.71 3780.26 5594.04 4293.66 35
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
EI-MVSNet-Vis-set84.19 5283.81 5285.31 5888.18 12967.85 10787.66 11589.73 13880.05 1682.95 5689.59 10270.74 4094.82 7180.66 5284.72 13293.28 52
PLCcopyleft70.83 1178.05 16476.37 17583.08 12791.88 5767.80 10888.19 10389.46 14564.33 22669.87 22888.38 13053.66 20393.58 12458.86 23182.73 15087.86 217
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TAMVS78.89 15077.51 15883.03 13087.80 13967.79 10984.72 19885.05 22467.63 19476.75 13987.70 14362.25 12890.82 20858.53 23587.13 10890.49 137
CLD-MVS82.31 7481.65 7784.29 8688.47 12167.73 11085.81 18192.35 4775.78 6878.33 10786.58 18164.01 8994.35 8376.05 8787.48 10590.79 118
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
EI-MVSNet-UG-set83.81 5483.38 5585.09 6587.87 13667.53 11187.44 12689.66 13979.74 1782.23 6489.41 11170.24 4294.74 7379.95 5683.92 13892.99 65
Effi-MVS+83.62 5883.08 5885.24 6188.38 12567.45 11288.89 7689.15 15575.50 7382.27 6388.28 13369.61 4894.45 8177.81 7187.84 9893.84 33
EG-PatchMatch MVS74.04 21571.82 22380.71 19584.92 18467.42 11385.86 17988.08 18866.04 21064.22 27683.85 22635.10 30392.56 16357.44 24480.83 16782.16 287
OMC-MVS82.69 7081.97 7584.85 7288.75 11467.42 11387.98 10790.87 9774.92 8479.72 8591.65 6162.19 13093.96 9975.26 10086.42 11893.16 58
PatchMatch-RL72.38 23370.90 23276.80 24688.60 11767.38 11579.53 25276.17 28862.75 24169.36 23482.00 24945.51 26284.89 26853.62 26280.58 17178.12 299
LS3D76.95 19274.82 19883.37 11590.45 7067.36 11689.15 7186.94 20461.87 24969.52 23190.61 8551.71 22094.53 7746.38 28986.71 11488.21 210
PS-MVSNAJss82.07 7781.31 7984.34 8586.51 16567.27 11789.27 6591.51 8271.75 13679.37 8890.22 9163.15 10094.27 8677.69 7282.36 15591.49 102
114514_t80.68 10579.51 10984.20 8894.09 2167.27 11789.64 5991.11 9358.75 27174.08 17990.72 8358.10 16995.04 6269.70 14989.42 7990.30 144
anonymousdsp78.60 15377.15 16382.98 13380.51 27167.08 11987.24 13389.53 14265.66 21475.16 16787.19 16052.52 20792.25 17277.17 7879.34 18589.61 169
MVS78.19 16176.99 16581.78 16785.66 17366.99 12084.66 19990.47 10855.08 29172.02 20285.27 21163.83 9194.11 9666.10 17589.80 7684.24 269
HQP5-MVS66.98 121
HQP-MVS82.61 7282.02 7384.37 8289.33 9166.98 12189.17 6792.19 5276.41 5877.23 13390.23 9060.17 16095.11 5777.47 7485.99 12391.03 111
Fast-Effi-MVS+-dtu78.02 16576.49 17282.62 15483.16 23266.96 12386.94 14587.45 20072.45 12771.49 20884.17 22354.79 19391.58 19067.61 16180.31 17689.30 173
F-COLMAP76.38 19874.33 20482.50 15589.28 9766.95 12488.41 9489.03 15764.05 22866.83 25988.61 12446.78 25392.89 15357.48 24378.55 18887.67 220
HyFIR lowres test77.53 17975.40 19483.94 10189.59 8566.62 12580.36 24588.64 17856.29 28776.45 14485.17 21257.64 17293.28 13661.34 21383.10 14691.91 91
ACMH67.68 1675.89 20373.93 20781.77 16888.71 11566.61 12688.62 8789.01 16069.81 16266.78 26086.70 17341.95 28191.51 19155.64 25378.14 19487.17 233
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
jajsoiax79.29 14277.96 14883.27 11884.68 18766.57 12789.25 6690.16 12369.20 17475.46 15689.49 10445.75 26193.13 14576.84 8380.80 16890.11 150
VDD-MVS83.01 6882.36 6884.96 6891.02 6466.40 12888.91 7588.11 18477.57 3484.39 4193.29 3652.19 21493.91 10477.05 8088.70 8694.57 9
mvs_tets79.13 14577.77 15483.22 12184.70 18666.37 12989.17 6790.19 12269.38 17075.40 15989.46 10744.17 26793.15 14376.78 8480.70 17090.14 148
PAPM_NR83.02 6782.41 6684.82 7392.47 4966.37 12987.93 11191.80 7073.82 9777.32 13090.66 8467.90 5994.90 6870.37 14489.48 7893.19 57
pmmvs-eth3d70.50 24667.83 25578.52 22677.37 29166.18 13181.82 23281.51 25658.90 26963.90 27880.42 26742.69 27586.28 25958.56 23465.30 29283.11 279
IB-MVS68.01 1575.85 20473.36 21183.31 11684.76 18566.03 13283.38 22485.06 22370.21 15969.40 23281.05 26145.76 26094.66 7565.10 18375.49 23189.25 174
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
MS-PatchMatch73.83 21772.67 21577.30 24283.87 21366.02 13381.82 23284.66 22661.37 25368.61 24482.82 23747.29 24988.21 24459.27 22784.32 13677.68 301
test_040272.79 23170.44 23479.84 20788.13 13065.99 13485.93 17784.29 22965.57 21567.40 25585.49 20746.92 25292.61 16135.88 30874.38 24380.94 291
BH-RMVSNet79.61 13378.44 13983.14 12489.38 9065.93 13584.95 19587.15 20273.56 10278.19 11489.79 9856.67 18193.36 13459.53 22686.74 11390.13 149
BH-untuned79.47 13878.60 13182.05 16289.19 10165.91 13686.07 17488.52 18072.18 13275.42 15887.69 14461.15 14593.54 12660.38 21886.83 11286.70 243
cascas76.72 19574.64 19982.99 13285.78 17165.88 13782.33 22989.21 15460.85 25572.74 19081.02 26247.28 25093.75 11767.48 16385.02 12789.34 172
MSDG73.36 22470.99 23180.49 19684.51 18965.80 13880.71 24286.13 21565.70 21365.46 26883.74 22944.60 26490.91 20751.13 27076.89 20984.74 265
旧先验191.96 5465.79 13986.37 21193.08 4369.31 5192.74 4988.74 191
COLMAP_ROBcopyleft66.92 1773.01 22870.41 23580.81 19387.13 15665.63 14088.30 9984.19 23162.96 23763.80 27987.69 14438.04 29492.56 16346.66 28674.91 23884.24 269
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
v5277.94 17076.37 17582.67 15179.39 28365.52 14186.43 16389.94 13272.28 12972.15 20084.94 21855.70 18693.44 13173.64 11172.84 25589.06 175
V477.95 16876.37 17582.67 15179.40 28265.52 14186.43 16389.94 13272.28 12972.14 20184.95 21755.72 18593.44 13173.64 11172.86 25489.05 179
v7n78.97 14977.58 15783.14 12483.45 22365.51 14388.32 9891.21 9073.69 9872.41 19586.32 19157.93 17093.81 11169.18 15375.65 22890.11 150
V4279.38 14178.24 14582.83 14581.10 26565.50 14485.55 18689.82 13571.57 14178.21 11386.12 19460.66 15393.18 14275.64 9475.46 23289.81 165
test_normal79.81 13078.45 13783.89 10282.70 24365.40 14585.82 18089.48 14469.39 16870.12 22285.66 20357.15 17993.71 12277.08 7988.62 8892.56 73
PVSNet_BlendedMVS80.60 10680.02 9682.36 15888.85 10665.40 14586.16 17192.00 6069.34 17178.11 11686.09 19566.02 7694.27 8671.52 13682.06 15687.39 226
PVSNet_Blended80.98 9380.34 9282.90 13988.85 10665.40 14584.43 20892.00 6067.62 19578.11 11685.05 21666.02 7694.27 8671.52 13689.50 7789.01 182
test_djsdf80.30 11679.32 11583.27 11883.98 21165.37 14890.50 4090.38 11068.55 18776.19 14888.70 12056.44 18293.46 12978.98 6080.14 17990.97 114
DI_MVS_plusplus_test79.89 12778.58 13383.85 10382.89 23965.32 14986.12 17289.55 14169.64 16770.55 21385.82 20057.24 17793.81 11176.85 8288.55 9092.41 77
ACMH+68.96 1476.01 20274.01 20682.03 16388.60 11765.31 15088.86 7787.55 19770.25 15867.75 25087.47 15141.27 28293.19 14158.37 23675.94 22487.60 222
Test477.83 17275.90 18983.62 10680.24 27365.25 15185.27 19190.67 10069.03 18066.48 26383.75 22843.07 27293.00 15175.93 8988.66 8792.62 72
testing_275.73 20573.34 21282.89 14177.37 29165.22 15284.10 21690.54 10669.09 17660.46 28781.15 26040.48 28592.84 15776.36 8580.54 17490.60 129
CR-MVSNet73.37 22271.27 22879.67 21081.32 26365.19 15375.92 27580.30 26759.92 26272.73 19181.19 25852.50 20886.69 25459.84 22277.71 19587.11 236
RPMNet71.62 23668.94 24379.67 21081.32 26365.19 15375.92 27578.30 27957.60 27972.73 19176.45 29152.30 21286.69 25448.14 28377.71 19587.11 236
BH-w/o78.21 15977.33 16180.84 19288.81 11065.13 15584.87 19687.85 19269.75 16474.52 17684.74 22161.34 14093.11 14658.24 23885.84 12584.27 268
v1377.50 18476.07 18781.77 16884.23 19365.07 15687.34 12788.91 17272.92 11768.35 24781.97 25062.53 12391.69 18772.20 13166.22 28988.56 203
v1277.51 18276.09 18681.76 17084.22 19464.99 15787.30 13088.93 17172.92 11768.48 24681.97 25062.54 12291.70 18672.24 13066.21 29088.58 201
v1079.74 13278.67 12982.97 13784.06 20964.95 15887.88 11390.62 10373.11 11475.11 16986.56 18261.46 13794.05 9773.68 11075.55 23089.90 160
v780.24 11779.26 12083.15 12384.07 20864.94 15987.56 12190.67 10072.26 13178.28 10886.51 18661.45 13894.03 9875.14 10177.41 19990.49 137
MVS_dtu79.86 12878.53 13583.85 10386.55 16464.93 16086.47 16287.68 19573.52 10474.35 17887.89 14051.92 21894.53 7771.28 14087.08 10992.08 87
V977.52 18076.11 18581.73 17184.19 19864.89 16187.26 13288.94 17072.87 12068.65 24281.96 25262.65 11891.72 18372.27 12966.24 28888.60 198
semantic-postprocess80.11 20482.69 24464.85 16283.47 23669.16 17570.49 21684.15 22450.83 23188.15 24569.23 15272.14 26087.34 228
MVSTER79.01 14777.88 15082.38 15783.07 23364.80 16384.08 21788.95 16769.01 18178.69 9587.17 16154.70 19492.43 16574.69 10380.57 17289.89 161
V1477.52 18076.12 18281.70 17284.15 19964.77 16487.21 13488.95 16772.80 12168.79 23981.94 25362.69 11591.72 18372.31 12866.27 28788.60 198
XVG-ACMP-BASELINE76.11 20174.27 20581.62 17783.20 22964.67 16583.60 22289.75 13769.75 16471.85 20387.09 16232.78 30492.11 17569.99 14780.43 17588.09 212
v1777.68 17576.35 17981.69 17384.15 19964.65 16687.33 12888.99 16272.70 12469.25 23782.07 24662.82 11091.79 17872.69 12367.15 28188.63 194
v1577.51 18276.12 18281.66 17584.09 20464.65 16687.14 13588.96 16672.76 12268.90 23881.91 25462.74 11391.73 18172.32 12766.29 28688.61 197
v1677.69 17476.36 17881.68 17484.15 19964.63 16887.33 12888.99 16272.69 12569.31 23682.08 24562.80 11191.79 17872.70 12267.23 27988.63 194
v119279.59 13478.43 14083.07 12883.55 22164.52 16986.93 14690.58 10470.83 14877.78 12285.90 19659.15 16393.94 10173.96 10977.19 20390.76 119
v1177.45 18576.06 18881.59 17984.22 19464.52 16987.11 14089.02 15872.76 12268.76 24081.90 25562.09 13191.71 18571.98 13266.73 28288.56 203
Fast-Effi-MVS+80.81 9979.92 9883.47 11088.85 10664.51 17185.53 18889.39 14670.79 14978.49 10085.06 21567.54 6293.58 12467.03 17086.58 11592.32 79
v114480.03 12479.03 12483.01 13183.78 21764.51 17187.11 14090.57 10571.96 13578.08 11886.20 19361.41 13993.94 10174.93 10277.23 20190.60 129
v1neww80.40 11179.54 10682.98 13384.10 20264.51 17187.57 11890.22 11973.25 10878.47 10186.65 17662.83 10893.86 10775.72 9177.02 20590.58 132
v7new80.40 11179.54 10682.98 13384.10 20264.51 17187.57 11890.22 11973.25 10878.47 10186.65 17662.83 10893.86 10775.72 9177.02 20590.58 132
v879.97 12679.02 12582.80 14684.09 20464.50 17587.96 10890.29 11874.13 9475.24 16686.81 16562.88 10593.89 10674.39 10575.40 23390.00 158
v680.40 11179.54 10682.98 13384.09 20464.50 17587.57 11890.22 11973.25 10878.47 10186.63 17862.84 10793.86 10775.73 9077.02 20590.58 132
v1877.67 17776.35 17981.64 17684.09 20464.47 17787.27 13189.01 16072.59 12669.39 23382.04 24762.85 10691.80 17772.72 12167.20 28088.63 194
EPP-MVSNet83.40 6283.02 6084.57 7690.13 7564.47 17792.32 1690.73 9974.45 8979.35 8991.10 7269.05 5395.12 5672.78 12087.22 10794.13 19
UniMVSNet (Re)81.60 8681.11 8383.09 12688.38 12564.41 17987.60 11693.02 2378.42 3078.56 9888.16 13569.78 4693.26 13769.58 15076.49 21891.60 97
LTVRE_ROB69.57 1376.25 19974.54 20281.41 18288.60 11764.38 18079.24 25589.12 15670.76 15169.79 23087.86 14149.09 24393.20 14056.21 25280.16 17786.65 244
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
testdata79.97 20690.90 6664.21 18184.71 22559.27 26785.40 2292.91 4462.02 13289.08 23268.95 15491.37 6086.63 245
v2v48280.23 11879.29 11983.05 12983.62 21964.14 18287.04 14289.97 13073.61 10078.18 11587.22 15861.10 14693.82 11076.11 8676.78 21691.18 109
VDDNet81.52 8780.67 8884.05 9390.44 7164.13 18389.73 5885.91 21771.11 14583.18 5493.48 3150.54 23393.49 12873.40 11688.25 9594.54 10
v114180.19 12079.31 11682.85 14283.84 21464.12 18487.14 13590.08 12673.13 11178.27 10986.39 18862.67 11793.75 11775.40 9876.83 21390.68 123
v180.19 12079.31 11682.85 14283.83 21664.12 18487.14 13590.07 12873.13 11178.27 10986.38 19062.72 11493.75 11775.41 9776.82 21490.68 123
divwei89l23v2f11280.19 12079.31 11682.85 14283.84 21464.11 18687.13 13890.08 12673.13 11178.27 10986.39 18862.69 11593.75 11775.40 9876.82 21490.68 123
PAPR81.66 8580.89 8683.99 9890.27 7364.00 18786.76 15591.77 7468.84 18377.13 13789.50 10367.63 6194.88 6967.55 16288.52 9293.09 59
MVS_test032679.86 12878.74 12883.23 12085.76 17263.99 18886.77 15489.97 13073.63 9973.53 18286.56 18253.05 20694.38 8271.43 13887.94 9791.33 104
v14419279.47 13878.37 14182.78 14983.35 22463.96 18986.96 14490.36 11369.99 16077.50 12685.67 20260.66 15393.77 11574.27 10676.58 21790.62 127
v192192079.22 14378.03 14782.80 14683.30 22763.94 19086.80 15090.33 11569.91 16177.48 12785.53 20658.44 16793.75 11773.60 11376.85 21190.71 122
AllTest70.96 24168.09 25179.58 21285.15 17963.62 19184.58 20379.83 27162.31 24560.32 28886.73 16632.02 30588.96 23650.28 27371.57 26486.15 249
TestCases79.58 21285.15 17963.62 19179.83 27162.31 24560.32 28886.73 16632.02 30588.96 23650.28 27371.57 26486.15 249
v124078.99 14877.78 15382.64 15383.21 22863.54 19386.62 15890.30 11769.74 16677.33 12985.68 20157.04 18093.76 11673.13 11876.92 20890.62 127
CHOSEN 280x42066.51 26764.71 26671.90 27481.45 25863.52 19457.98 31968.95 31753.57 29862.59 28376.70 28946.22 25575.29 30655.25 25579.68 18076.88 307
IterMVS74.29 21372.94 21478.35 22981.53 25763.49 19581.58 23782.49 24568.06 19269.99 22583.69 23051.66 22185.54 26365.85 17871.64 26386.01 253
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
UniMVSNet_NR-MVSNet81.88 8081.54 7882.92 13888.46 12263.46 19687.13 13892.37 4680.19 1478.38 10589.14 11371.66 3393.05 14870.05 14576.46 21992.25 82
DU-MVS81.12 9280.52 9182.90 13987.80 13963.46 19687.02 14391.87 6879.01 2578.38 10589.07 11465.02 8393.05 14870.05 14576.46 21992.20 83
LFMVS81.82 8281.23 8183.57 10991.89 5663.43 19889.84 5281.85 25377.04 4683.21 5393.10 3952.26 21393.43 13371.98 13289.95 7593.85 32
NR-MVSNet80.23 11879.38 11382.78 14987.80 13963.34 19986.31 16891.09 9479.01 2572.17 19889.07 11467.20 6592.81 15866.08 17675.65 22892.20 83
IS-MVSNet83.15 6482.81 6384.18 8989.94 8063.30 20091.59 2488.46 18179.04 2479.49 8792.16 5265.10 8294.28 8567.71 16091.86 5594.95 3
v74877.97 16776.65 17181.92 16682.29 24963.28 20187.53 12290.35 11473.50 10670.76 21285.55 20558.28 16892.81 15868.81 15672.76 25689.67 168
TR-MVS77.44 18676.18 18181.20 18688.24 12863.24 20284.61 20286.40 21067.55 19677.81 12186.48 18754.10 19993.15 14357.75 24282.72 15187.20 232
MVS_Test83.15 6483.06 5983.41 11486.86 15963.21 20386.11 17392.00 6074.31 9082.87 5889.44 11070.03 4393.21 13877.39 7688.50 9393.81 34
IterMVS-LS80.06 12379.38 11382.11 16185.89 16963.20 20486.79 15189.34 14774.19 9175.45 15786.72 16866.62 6992.39 16772.58 12476.86 21090.75 120
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet80.52 10979.98 9782.12 16084.28 19163.19 20586.41 16588.95 16774.18 9278.69 9587.54 14966.62 6992.43 16572.57 12580.57 17290.74 121
GBi-Net78.40 15577.40 15981.40 18387.60 14463.01 20688.39 9589.28 14971.63 13875.34 16187.28 15454.80 19091.11 19962.72 19679.57 18190.09 152
test178.40 15577.40 15981.40 18387.60 14463.01 20688.39 9589.28 14971.63 13875.34 16187.28 15454.80 19091.11 19962.72 19679.57 18190.09 152
FMVSNet177.44 18676.12 18281.40 18386.81 16163.01 20688.39 9589.28 14970.49 15574.39 17787.28 15449.06 24491.11 19960.91 21578.52 18990.09 152
TAPA-MVS73.13 979.15 14477.94 14982.79 14889.59 8562.99 20988.16 10591.51 8265.77 21277.14 13691.09 7460.91 14993.21 13850.26 27587.05 11092.17 85
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
FMVSNet278.20 16077.21 16281.20 18687.60 14462.89 21087.47 12589.02 15871.63 13875.29 16587.28 15454.80 19091.10 20262.38 20079.38 18489.61 169
diffmvs79.51 13578.59 13282.25 15983.31 22662.66 21184.17 21388.11 18467.64 19376.09 15287.47 15164.01 8991.15 19871.71 13584.82 13192.94 66
GA-MVS76.87 19375.17 19681.97 16482.75 24162.58 21281.44 23986.35 21272.16 13474.74 17482.89 23546.20 25692.02 17668.85 15581.09 16491.30 107
FMVSNet377.88 17176.85 16780.97 19186.84 16062.36 21386.52 16188.77 17471.13 14475.34 16186.66 17554.07 20091.10 20262.72 19679.57 18189.45 171
TranMVSNet+NR-MVSNet80.84 9680.31 9382.42 15687.85 13762.33 21487.74 11491.33 8780.55 1177.99 11989.86 9765.23 8192.62 16067.05 16975.24 23792.30 80
131476.53 19675.30 19580.21 20383.93 21262.32 21584.66 19988.81 17360.23 25970.16 22184.07 22555.30 18990.73 21067.37 16483.21 14487.59 223
MG-MVS83.41 6183.45 5483.28 11792.74 4362.28 21688.17 10489.50 14375.22 7981.49 7192.74 5166.75 6895.11 5772.85 11991.58 5792.45 75
Patchmatch-test173.49 22071.85 22278.41 22884.05 21062.17 21779.96 24979.29 27566.30 20772.38 19679.58 27451.95 21785.08 26755.46 25477.67 19787.99 213
PMMVS69.34 25368.67 24471.35 27975.67 29862.03 21875.17 27973.46 30350.00 30868.68 24179.05 27552.07 21578.13 29361.16 21482.77 14973.90 309
v14878.72 15177.80 15281.47 18182.73 24261.96 21986.30 16988.08 18873.26 10776.18 14985.47 20862.46 12592.36 16971.92 13473.82 24990.09 152
PAPM77.68 17576.40 17481.51 18087.29 15461.85 22083.78 21989.59 14064.74 22171.23 20988.70 12062.59 12093.66 12352.66 26687.03 11189.01 182
JIA-IIPM66.32 26962.82 27576.82 24577.09 29461.72 22165.34 31175.38 29058.04 27564.51 27462.32 31442.05 28086.51 25751.45 26969.22 27382.21 286
TDRefinement67.49 26064.34 26776.92 24473.47 30561.07 22284.86 19782.98 24159.77 26358.30 29485.13 21326.06 31287.89 24847.92 28460.59 30381.81 289
VNet82.21 7582.41 6681.62 17790.82 6860.93 22384.47 20489.78 13676.36 6284.07 4591.88 5864.71 8590.26 21470.68 14188.89 8293.66 35
ab-mvs79.51 13578.97 12681.14 18888.46 12260.91 22483.84 21889.24 15370.36 15679.03 9188.87 11863.23 9890.21 21665.12 18282.57 15392.28 81
PatchmatchNetpermissive73.12 22771.33 22778.49 22783.18 23060.85 22579.63 25178.57 27764.13 22771.73 20479.81 27351.20 22485.97 26157.40 24576.36 22188.66 192
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
VPA-MVSNet80.60 10680.55 9080.76 19488.07 13160.80 22686.86 14891.58 7975.67 7180.24 8389.45 10963.34 9490.25 21570.51 14379.22 18791.23 108
ITE_SJBPF78.22 23081.77 25460.57 22783.30 23869.25 17367.54 25287.20 15936.33 30087.28 25254.34 25874.62 24186.80 240
MDA-MVSNet-bldmvs66.68 26563.66 26975.75 25179.28 28460.56 22873.92 28678.35 27864.43 22450.13 31379.87 27244.02 26883.67 27246.10 29056.86 30783.03 281
1112_ss77.40 18876.43 17380.32 20089.11 10360.41 22983.65 22087.72 19462.13 24773.05 18886.72 16862.58 12189.97 21862.11 20580.80 16890.59 131
HY-MVS69.67 1277.95 16877.15 16380.36 19887.57 14860.21 23083.37 22587.78 19366.11 20875.37 16087.06 16363.27 9690.48 21361.38 21282.43 15490.40 142
RPSCF73.23 22671.46 22578.54 22582.50 24759.85 23182.18 23082.84 24358.96 26871.15 21089.41 11145.48 26384.77 26958.82 23271.83 26291.02 113
OurMVSNet-221017-074.26 21472.42 21879.80 20883.76 21859.59 23285.92 17886.64 20666.39 20666.96 25887.58 14639.46 28891.60 18965.76 17969.27 27288.22 209
Patchmatch-RL test70.24 24867.78 25777.61 23777.43 29059.57 23371.16 29070.33 30962.94 23868.65 24272.77 30150.62 23285.49 26469.58 15066.58 28487.77 219
tpmp4_e2373.45 22171.17 23080.31 20183.55 22159.56 23481.88 23182.33 24757.94 27670.51 21581.62 25651.19 22591.63 18853.96 26077.51 19889.75 167
PatchFormer-LS_test74.50 21273.05 21378.86 22082.95 23759.55 23581.65 23682.30 24867.44 19871.62 20678.15 28152.34 21188.92 23865.05 18475.90 22588.12 211
OpenMVS_ROBcopyleft64.09 1970.56 24568.19 24877.65 23680.26 27259.41 23685.01 19482.96 24258.76 27065.43 26982.33 24137.63 29791.23 19745.34 29476.03 22382.32 285
DWT-MVSNet_test73.70 21871.86 22179.21 21682.91 23858.94 23782.34 22882.17 24965.21 21671.05 21178.31 27944.21 26690.17 21763.29 19477.28 20088.53 205
ADS-MVSNet266.20 27063.33 27074.82 26079.92 27658.75 23867.55 30775.19 29253.37 29965.25 27075.86 29242.32 27780.53 28441.57 30068.91 27485.18 259
pm-mvs177.25 18976.68 17078.93 21984.22 19458.62 23986.41 16588.36 18271.37 14373.31 18488.01 13961.22 14489.15 23164.24 18973.01 25389.03 181
LP61.36 28057.78 28372.09 27375.54 30058.53 24067.16 30975.22 29151.90 30554.13 30469.97 30737.73 29680.45 28532.74 31255.63 30977.29 303
WR-MVS79.49 13779.22 12280.27 20288.79 11258.35 24185.06 19388.61 17978.56 2877.65 12488.34 13163.81 9290.66 21164.98 18577.22 20291.80 96
FIs82.07 7782.42 6581.04 19088.80 11158.34 24288.26 10293.49 1076.93 4878.47 10191.04 7669.92 4592.34 17069.87 14884.97 12892.44 76
CostFormer75.24 21073.90 20879.27 21482.65 24558.27 24380.80 24082.73 24461.57 25075.33 16483.13 23455.52 18791.07 20564.98 18578.34 19388.45 206
Test_1112_low_res76.40 19775.44 19379.27 21489.28 9758.09 24481.69 23587.07 20359.53 26572.48 19486.67 17461.30 14189.33 22760.81 21780.15 17890.41 141
test-LLR72.94 23072.43 21774.48 26281.35 26158.04 24578.38 26277.46 28266.66 20169.95 22679.00 27748.06 24779.24 28866.13 17384.83 12986.15 249
test-mter71.41 23870.39 23674.48 26281.35 26158.04 24578.38 26277.46 28260.32 25869.95 22679.00 27736.08 30179.24 28866.13 17384.83 12986.15 249
mvs_anonymous79.42 14079.11 12380.34 19984.45 19057.97 24782.59 22787.62 19667.40 19976.17 15188.56 12768.47 5589.59 22370.65 14286.05 12293.47 47
tpm cat170.57 24468.31 24777.35 24182.41 24857.95 24878.08 26680.22 26952.04 30368.54 24577.66 28652.00 21687.84 24951.77 26772.07 26186.25 247
SixPastTwentyTwo73.37 22271.26 22979.70 20985.08 18357.89 24985.57 18283.56 23571.03 14765.66 26785.88 19742.10 27992.57 16259.11 22963.34 29588.65 193
XXY-MVS75.41 20875.56 19274.96 25883.59 22057.82 25080.59 24483.87 23366.54 20574.93 17388.31 13263.24 9780.09 28662.16 20376.85 21186.97 238
K. test v371.19 23968.51 24579.21 21683.04 23557.78 25184.35 21176.91 28672.90 11962.99 28282.86 23639.27 28991.09 20461.65 20952.66 31388.75 190
CMPMVSbinary51.72 2170.19 24968.16 24976.28 24873.15 30757.55 25279.47 25383.92 23248.02 31056.48 30284.81 21943.13 27186.42 25862.67 19981.81 16084.89 263
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
pmmvs674.69 21173.39 21078.61 22381.38 26057.48 25386.64 15787.95 19064.99 22070.18 21986.61 17950.43 23489.52 22462.12 20470.18 27088.83 187
PVSNet_057.27 2061.67 27959.27 28068.85 28979.61 27957.44 25468.01 30573.44 30455.93 28858.54 29370.41 30644.58 26577.55 29747.01 28535.91 31971.55 311
lessismore_v078.97 21881.01 26657.15 25565.99 32061.16 28582.82 23739.12 29091.34 19459.67 22346.92 31788.43 207
TransMVSNet (Re)75.39 20974.56 20177.86 23285.50 17657.10 25686.78 15286.09 21672.17 13371.53 20787.34 15363.01 10489.31 22856.84 24961.83 29887.17 233
TESTMET0.1,169.89 25169.00 24272.55 27279.27 28556.85 25778.38 26274.71 29857.64 27868.09 24877.19 28837.75 29576.70 29963.92 19084.09 13784.10 272
WTY-MVS75.65 20675.68 19175.57 25486.40 16656.82 25877.92 26782.40 24665.10 21876.18 14987.72 14263.13 10380.90 28260.31 21981.96 15789.00 184
MDA-MVSNet_test_wron65.03 27162.92 27271.37 27775.93 29656.73 25969.09 30274.73 29757.28 28254.03 30677.89 28345.88 25774.39 30949.89 27761.55 29982.99 282
pmmvs357.79 28554.26 28968.37 29164.02 31956.72 26075.12 28265.17 32140.20 31552.93 30969.86 30820.36 31975.48 30545.45 29355.25 31172.90 310
tpm273.26 22571.46 22578.63 22283.34 22556.71 26180.65 24380.40 26656.63 28573.55 18182.02 24851.80 21991.24 19656.35 25178.42 19287.95 214
TinyColmap67.30 26364.81 26574.76 26181.92 25356.68 26280.29 24681.49 25760.33 25756.27 30383.22 23324.77 31487.66 25145.52 29269.47 27179.95 295
YYNet165.03 27162.91 27371.38 27675.85 29756.60 26369.12 30174.66 30057.28 28254.12 30577.87 28445.85 25874.48 30849.95 27661.52 30083.05 280
PM-MVS66.41 26864.14 26873.20 27073.92 30256.45 26478.97 25864.96 32363.88 23264.72 27380.24 26819.84 32083.44 27466.24 17264.52 29479.71 296
PVSNet64.34 1872.08 23570.87 23375.69 25286.21 16856.44 26574.37 28580.73 26262.06 24870.17 22082.23 24342.86 27483.31 27554.77 25784.45 13587.32 229
pmmvs571.55 23770.20 23775.61 25377.83 28856.39 26681.74 23480.89 25957.76 27767.46 25384.49 22249.26 24285.32 26657.08 24875.29 23585.11 262
WR-MVS_H78.51 15478.49 13678.56 22488.02 13356.38 26788.43 9192.67 3777.14 4273.89 18087.55 14866.25 7289.24 22958.92 23073.55 25190.06 156
MIMVSNet70.69 24369.30 23974.88 25984.52 18856.35 26875.87 27779.42 27464.59 22267.76 24982.41 24041.10 28381.54 28146.64 28881.34 16286.75 242
USDC70.33 24768.37 24676.21 24980.60 26956.23 26979.19 25786.49 20860.89 25461.29 28485.47 20831.78 30789.47 22653.37 26376.21 22282.94 284
Baseline_NR-MVSNet78.15 16278.33 14377.61 23785.79 17056.21 27086.78 15285.76 21873.60 10177.93 12087.57 14765.02 8388.99 23367.14 16875.33 23487.63 221
tpmvs71.09 24069.29 24076.49 24782.04 25156.04 27178.92 25981.37 25864.05 22867.18 25778.28 28049.74 23889.77 21949.67 27872.37 25783.67 273
FC-MVSNet-test81.52 8782.02 7380.03 20588.42 12455.97 27287.95 10993.42 1277.10 4477.38 12890.98 8169.96 4491.79 17868.46 15884.50 13392.33 78
GG-mvs-BLEND75.38 25681.59 25655.80 27379.32 25469.63 31267.19 25673.67 30043.24 27088.90 23950.41 27284.50 13381.45 290
VPNet78.69 15278.66 13078.76 22188.31 12755.72 27484.45 20786.63 20776.79 5078.26 11290.55 8659.30 16289.70 22266.63 17177.05 20490.88 116
FMVSNet569.50 25267.96 25274.15 26682.97 23655.35 27580.01 24882.12 25162.56 24363.02 28081.53 25736.92 29881.92 27948.42 28174.06 24585.17 261
sss73.60 21973.64 20973.51 26982.80 24055.01 27676.12 27381.69 25462.47 24474.68 17585.85 19957.32 17478.11 29460.86 21680.93 16587.39 226
EPNet_dtu75.46 20774.86 19777.23 24382.57 24654.60 27786.89 14783.09 24071.64 13766.25 26585.86 19855.99 18488.04 24754.92 25686.55 11689.05 179
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CP-MVSNet78.22 15878.34 14277.84 23387.83 13854.54 27887.94 11091.17 9277.65 3273.48 18388.49 12862.24 12988.43 24262.19 20274.07 24490.55 135
gg-mvs-nofinetune69.95 25067.96 25275.94 25083.07 23354.51 27977.23 27070.29 31063.11 23470.32 21762.33 31343.62 26988.69 24053.88 26187.76 9984.62 267
PS-CasMVS78.01 16678.09 14677.77 23587.71 14254.39 28088.02 10691.22 8977.50 3973.26 18588.64 12360.73 15088.41 24361.88 20673.88 24890.53 136
Patchmtry70.74 24269.16 24175.49 25580.72 26754.07 28174.94 28480.30 26758.34 27270.01 22381.19 25852.50 20886.54 25653.37 26371.09 26685.87 255
PEN-MVS77.73 17377.69 15677.84 23387.07 15753.91 28287.91 11291.18 9177.56 3673.14 18788.82 11961.23 14389.17 23059.95 22172.37 25790.43 140
gm-plane-assit81.40 25953.83 28362.72 24280.94 26492.39 16763.40 193
MDTV_nov1_ep1369.97 23883.18 23053.48 28477.10 27180.18 27060.45 25669.33 23580.44 26648.89 24586.90 25351.60 26878.51 190
LF4IMVS64.02 27662.19 27669.50 28670.90 31253.29 28576.13 27277.18 28552.65 30258.59 29280.98 26323.55 31576.52 30053.06 26566.66 28378.68 298
DTE-MVSNet76.99 19176.80 16877.54 23986.24 16753.06 28687.52 12390.66 10277.08 4572.50 19388.67 12260.48 15689.52 22457.33 24670.74 26890.05 157
tpm72.37 23471.71 22474.35 26482.19 25052.00 28779.22 25677.29 28464.56 22372.95 18983.68 23151.35 22283.26 27658.33 23775.80 22687.81 218
MIMVSNet168.58 25666.78 26173.98 26780.07 27551.82 28880.77 24184.37 22864.40 22559.75 29182.16 24436.47 29983.63 27342.73 29870.33 26986.48 246
Vis-MVSNet (Re-imp)78.36 15778.45 13778.07 23188.64 11651.78 28986.70 15679.63 27374.14 9375.11 16990.83 8261.29 14289.75 22058.10 23991.60 5692.69 70
LCM-MVSNet-Re77.05 19076.94 16677.36 24087.20 15551.60 29080.06 24780.46 26575.20 8067.69 25186.72 16862.48 12488.98 23463.44 19289.25 8091.51 100
Gipumacopyleft45.18 29841.86 29955.16 30777.03 29551.52 29132.50 32780.52 26332.46 32127.12 32235.02 3249.52 33175.50 30422.31 32460.21 30438.45 323
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
UnsupCasMVSNet_eth67.33 26265.99 26371.37 27773.48 30451.47 29275.16 28085.19 22265.20 21760.78 28680.93 26542.35 27677.20 29857.12 24753.69 31285.44 257
UnsupCasMVSNet_bld63.70 27761.53 27970.21 28473.69 30351.39 29372.82 28781.89 25255.63 28957.81 29671.80 30338.67 29178.61 29149.26 27952.21 31480.63 292
FPMVS53.68 29151.64 29159.81 30365.08 31851.03 29469.48 29869.58 31341.46 31440.67 31672.32 30216.46 32570.00 31924.24 32365.42 29158.40 318
Anonymous2023121164.82 27361.79 27773.91 26877.11 29350.92 29585.29 19081.53 25554.19 29357.98 29578.03 28226.90 31087.83 25037.92 30557.12 30682.99 282
CVMVSNet72.99 22972.58 21674.25 26584.28 19150.85 29686.41 16583.45 23744.56 31273.23 18687.54 14949.38 23985.70 26265.90 17778.44 19186.19 248
Anonymous2023120668.60 25567.80 25671.02 28180.23 27450.75 29778.30 26580.47 26456.79 28466.11 26682.63 23946.35 25478.95 29043.62 29775.70 22783.36 276
ambc75.24 25773.16 30650.51 29863.05 31587.47 19964.28 27577.81 28517.80 32389.73 22157.88 24160.64 30285.49 256
no-one51.08 29345.79 29866.95 29457.92 32450.49 29959.63 31876.04 28948.04 30931.85 31956.10 32019.12 32180.08 28736.89 30726.52 32170.29 312
tpmrst72.39 23272.13 21973.18 27180.54 27049.91 30079.91 25079.08 27663.11 23471.69 20579.95 27055.32 18882.77 27765.66 18073.89 24786.87 239
Patchmatch-test64.82 27363.24 27169.57 28579.42 28149.82 30163.49 31469.05 31651.98 30459.95 29080.13 26950.91 22770.98 31740.66 30273.57 25087.90 216
EPMVS69.02 25468.16 24971.59 27579.61 27949.80 30277.40 26966.93 31962.82 24070.01 22379.05 27545.79 25977.86 29656.58 25075.26 23687.13 235
dp66.80 26465.43 26470.90 28279.74 27848.82 30375.12 28274.77 29659.61 26464.08 27777.23 28742.89 27380.72 28348.86 28066.58 28483.16 278
test0.0.03 168.00 25967.69 25868.90 28877.55 28947.43 30475.70 27872.95 30566.66 20166.56 26182.29 24248.06 24775.87 30344.97 29574.51 24283.41 275
ADS-MVSNet64.36 27562.88 27468.78 29079.92 27647.17 30567.55 30771.18 30853.37 29965.25 27075.86 29242.32 27773.99 31141.57 30068.91 27485.18 259
EU-MVSNet68.53 25767.61 25971.31 28078.51 28747.01 30684.47 20484.27 23042.27 31366.44 26484.79 22040.44 28683.76 27158.76 23368.54 27883.17 277
LCM-MVSNet54.25 28949.68 29567.97 29253.73 32645.28 30766.85 31080.78 26135.96 31939.45 31862.23 3158.70 33278.06 29548.24 28251.20 31580.57 293
test20.0367.45 26166.95 26068.94 28775.48 30144.84 30877.50 26877.67 28166.66 20163.01 28183.80 22747.02 25178.40 29242.53 29968.86 27683.58 274
wuykxyi23d39.76 30133.18 30459.51 30446.98 33044.01 30957.70 32067.74 31824.13 32513.98 33034.33 3251.27 33771.33 31634.23 31018.23 32463.18 317
PatchT68.46 25867.85 25470.29 28380.70 26843.93 31072.47 28874.88 29460.15 26070.55 21376.57 29049.94 23781.59 28050.58 27174.83 23985.34 258
MVS-HIRNet59.14 28257.67 28463.57 29881.65 25543.50 31171.73 28965.06 32239.59 31751.43 31157.73 31738.34 29382.58 27839.53 30373.95 24664.62 316
PMVScopyleft37.38 2244.16 29940.28 30055.82 30640.82 33242.54 31265.12 31263.99 32434.43 32024.48 32357.12 3193.92 33476.17 30217.10 32655.52 31048.75 319
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test235659.50 28158.08 28163.74 29771.23 31141.88 31367.59 30672.42 30753.72 29757.65 29770.74 30526.31 31172.40 31432.03 31571.06 26776.93 305
test123567858.74 28456.89 28764.30 29569.70 31341.87 31471.05 29174.87 29554.06 29450.63 31271.53 30425.30 31374.10 31031.80 31663.10 29676.93 305
testgi66.67 26666.53 26267.08 29375.62 29941.69 31575.93 27476.50 28766.11 20865.20 27286.59 18035.72 30274.71 30743.71 29673.38 25284.84 264
testpf56.51 28857.58 28553.30 30871.99 31041.19 31646.89 32469.32 31558.06 27452.87 31069.45 30927.99 30972.73 31359.59 22562.07 29745.98 321
ANet_high50.57 29546.10 29763.99 29648.67 32939.13 31770.99 29380.85 26061.39 25231.18 32157.70 31817.02 32473.65 31231.22 31715.89 32879.18 297
testus59.00 28357.91 28262.25 30072.25 30939.09 31869.74 29575.02 29353.04 30157.21 29973.72 29918.76 32270.33 31832.86 31168.57 27777.35 302
testmv53.85 29051.03 29262.31 29961.46 32138.88 31970.95 29474.69 29951.11 30741.26 31566.85 31014.28 32672.13 31529.19 31849.51 31675.93 308
MDTV_nov1_ep13_2view37.79 32075.16 28055.10 29066.53 26249.34 24053.98 25987.94 215
DSMNet-mixed57.77 28656.90 28660.38 30267.70 31735.61 32169.18 29953.97 32632.30 32357.49 29879.88 27140.39 28768.57 32138.78 30472.37 25776.97 304
PNet_i23d38.26 30235.42 30246.79 31258.74 32235.48 32259.65 31751.25 32732.45 32223.44 32647.53 3222.04 33658.96 32525.60 32218.09 32645.92 322
MVEpermissive26.22 2330.37 30625.89 30843.81 31444.55 33135.46 32328.87 32839.07 33118.20 32718.58 32740.18 3232.68 33547.37 33017.07 32723.78 32348.60 320
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
new_pmnet50.91 29450.29 29352.78 30968.58 31634.94 32463.71 31356.63 32539.73 31644.95 31465.47 31221.93 31858.48 32634.98 30956.62 30864.92 315
wuyk23d16.82 30915.94 31019.46 32058.74 32231.45 32539.22 3253.74 3366.84 3296.04 3312.70 3321.27 33724.29 33210.54 33014.40 3302.63 328
111157.11 28756.82 28857.97 30569.10 31428.28 32668.90 30374.54 30154.01 29553.71 30774.51 29623.09 31667.90 32232.28 31361.26 30177.73 300
.test124545.55 29750.02 29432.14 31769.10 31428.28 32668.90 30374.54 30154.01 29553.71 30774.51 29623.09 31667.90 32232.28 3130.02 3310.25 330
E-PMN31.77 30430.64 30535.15 31552.87 32727.67 32857.09 32147.86 32924.64 32416.40 32833.05 32611.23 32954.90 32814.46 32818.15 32522.87 325
DeepMVS_CXcopyleft27.40 31940.17 33326.90 32924.59 33417.44 32823.95 32448.61 3219.77 33026.48 33118.06 32524.47 32228.83 324
EMVS30.81 30529.65 30634.27 31650.96 32825.95 33056.58 32246.80 33024.01 32615.53 32930.68 32712.47 32854.43 32912.81 32917.05 32722.43 326
new-patchmatchnet61.73 27861.73 27861.70 30172.74 30824.50 33169.16 30078.03 28061.40 25156.72 30175.53 29438.42 29276.48 30145.95 29157.67 30584.13 271
test1235649.28 29648.51 29651.59 31062.06 32019.11 33260.40 31672.45 30647.60 31140.64 31765.68 31113.84 32768.72 32027.29 32046.67 31866.94 314
PMMVS240.82 30038.86 30146.69 31353.84 32516.45 33348.61 32349.92 32837.49 31831.67 32060.97 3168.14 33356.42 32728.42 31930.72 32067.19 313
tmp_tt18.61 30821.40 30910.23 3214.82 33410.11 33434.70 32630.74 3331.48 33023.91 32526.07 32828.42 30813.41 33327.12 32115.35 3297.17 327
N_pmnet52.79 29253.26 29051.40 31178.99 2867.68 33569.52 2973.89 33551.63 30657.01 30074.98 29540.83 28465.96 32437.78 30664.67 29380.56 294
test1236.12 3118.11 3120.14 3220.06 3360.09 33671.05 2910.03 3380.04 3320.25 3331.30 3340.05 3390.03 3350.21 3320.01 3330.29 329
testmvs6.04 3128.02 3130.10 3230.08 3350.03 33769.74 2950.04 3370.05 3310.31 3321.68 3330.02 3400.04 3340.24 3310.02 3310.25 330
cdsmvs_eth3d_5k19.96 30726.61 3070.00 3240.00 3370.00 3380.00 32989.26 1520.00 3330.00 33488.61 12461.62 1350.00 3360.00 3330.00 3340.00 332
pcd_1.5k_mvsjas5.26 3137.02 3140.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 33563.15 1000.00 3360.00 3330.00 3340.00 332
pcd1.5k->3k34.07 30335.26 30330.50 31886.92 1580.00 3380.00 32991.58 790.00 3330.00 3340.00 33556.23 1830.00 3360.00 33382.60 15291.49 102
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
ab-mvs-re7.23 3109.64 3110.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 33486.72 1680.00 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_mvs151.32 223
sam_mvs50.01 236
MTGPAbinary92.02 57
test_post178.90 2605.43 33148.81 24685.44 26559.25 228
test_post5.46 33050.36 23584.24 270
patchmatchnet-post74.00 29851.12 22688.60 241
MTMP32.83 332
test9_res84.90 1795.70 1292.87 67
agg_prior282.91 3895.45 1492.70 68
test_prior288.85 7875.41 7484.91 2993.54 2974.28 1783.31 3195.86 6
旧先验286.56 16058.10 27387.04 1388.98 23474.07 108
新几何286.29 170
无先验87.48 12488.98 16460.00 26194.12 9467.28 16588.97 185
原ACMM286.86 148
testdata291.01 20662.37 201
segment_acmp73.08 23
testdata184.14 21575.71 69
plane_prior592.44 4295.38 4978.71 6286.32 11991.33 104
plane_prior491.00 79
plane_prior291.25 2879.12 22
plane_prior189.90 81
n20.00 339
nn0.00 339
door-mid69.98 311
test1192.23 49
door69.44 314
HQP-NCC89.33 9189.17 6776.41 5877.23 133
ACMP_Plane89.33 9189.17 6776.41 5877.23 133
BP-MVS77.47 74
HQP4-MVS77.24 13295.11 5791.03 111
HQP3-MVS92.19 5285.99 123
HQP2-MVS60.17 160
ACMMP++_ref81.95 158
ACMMP++81.25 163
Test By Simon64.33 86