This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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.
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
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
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
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
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-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
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
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
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
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
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
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
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
#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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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-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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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_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
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-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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
.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
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
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)
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
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
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
MTMP32.83 332
gm-plane-assit81.40 25953.83 28362.72 24280.94 26492.39 16763.40 193
test9_res84.90 1795.70 1292.87 67
TEST993.26 3372.96 1988.75 8391.89 6668.44 18985.00 2793.10 3974.36 1695.41 47
test_893.13 3572.57 2888.68 8691.84 6968.69 18584.87 3393.10 3974.43 1395.16 55
agg_prior282.91 3895.45 1492.70 68
agg_prior92.85 4171.94 3891.78 7284.41 3994.93 64
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
test_prior472.60 2789.01 74
test_prior288.85 7875.41 7484.91 2993.54 2974.28 1783.31 3195.86 6
test_prior86.33 4592.61 4669.59 7092.97 2995.48 4293.91 29
旧先验286.56 16058.10 27387.04 1388.98 23474.07 108
新几何286.29 170
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
旧先验191.96 5465.79 13986.37 21193.08 4369.31 5192.74 4988.74 191
无先验87.48 12488.98 16460.00 26194.12 9467.28 16588.97 185
原ACMM286.86 148
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
test22291.50 5968.26 10084.16 21483.20 23954.63 29279.74 8491.63 6358.97 16491.42 5986.77 241
testdata291.01 20662.37 201
segment_acmp73.08 23
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
testdata184.14 21575.71 69
test1286.80 3792.63 4570.70 5391.79 7182.71 6171.67 3296.16 2894.50 3393.54 45
plane_prior790.08 7668.51 96
plane_prior689.84 8268.70 9260.42 157
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_prior189.90 81
plane_prior68.71 9090.38 4477.62 3386.16 121
n20.00 339
nn0.00 339
door-mid69.98 311
lessismore_v078.97 21881.01 26657.15 25565.99 32061.16 28582.82 23739.12 29091.34 19459.67 22346.92 31788.43 207
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
test1192.23 49
door69.44 314
HQP5-MVS66.98 121
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
NP-MVS89.62 8468.32 9890.24 89
MDTV_nov1_ep13_2view37.79 32075.16 28055.10 29066.53 26249.34 24053.98 25987.94 215
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
ACMMP++_ref81.95 158
ACMMP++81.25 163
Test By Simon64.33 86
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
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