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 bysorted bysort 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
test_893.13 3572.57 2888.68 8691.84 6968.69 18584.87 3393.10 3974.43 1395.16 55
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
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
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
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
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
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
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
test1286.80 3792.63 4570.70 5391.79 7182.71 6171.67 3296.16 2894.50 3393.54 45
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
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
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
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
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
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.
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
旧先验191.96 5465.79 13986.37 21193.08 4369.31 5192.74 4988.74 191
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
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
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
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
test22291.50 5968.26 10084.16 21483.20 23954.63 29279.74 8491.63 6358.97 16491.42 5986.77 241
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_prior790.08 7668.51 96
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
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
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
plane_prior189.90 81
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
plane_prior689.84 8268.70 9260.42 157
NP-MVS89.62 8468.32 9890.24 89
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
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
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
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
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
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
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
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
HQP-NCC89.33 9189.17 6776.41 5877.23 133
ACMP_Plane89.33 9189.17 6776.41 5877.23 133
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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.
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
gm-plane-assit81.40 25953.83 28362.72 24280.94 26492.39 16763.40 193
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
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
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
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
lessismore_v078.97 21881.01 26657.15 25565.99 32061.16 28582.82 23739.12 29091.34 19459.67 22346.92 31788.43 207
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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)
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
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
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
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
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
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_prior472.60 2789.01 74
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_prior368.60 9478.44 2978.92 93
plane_prior291.25 2879.12 22
plane_prior68.71 9090.38 4477.62 3386.16 121
n20.00 339
nn0.00 339
door-mid69.98 311
test1192.23 49
door69.44 314
HQP5-MVS66.98 121
BP-MVS77.47 74
HQP4-MVS77.24 13295.11 5791.03 111
HQP3-MVS92.19 5285.99 123
HQP2-MVS60.17 160
MDTV_nov1_ep13_2view37.79 32075.16 28055.10 29066.53 26249.34 24053.98 25987.94 215
ACMMP++_ref81.95 158
ACMMP++81.25 163
Test By Simon64.33 86