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 2078.35 296.77 789.59 194.22 4193.33 51
APDe-MVS89.15 289.63 287.73 1994.49 871.69 4093.83 293.96 275.70 7191.06 296.03 176.84 397.03 389.09 295.65 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 1675.89 796.81 687.45 996.44 193.05 61
CNVR-MVS88.93 489.13 488.33 394.77 273.82 690.51 3993.00 2480.90 988.06 994.06 2476.43 496.84 588.48 495.99 494.34 14
SteuartSystems-ACMMP88.72 588.86 588.32 492.14 5272.96 1993.73 393.67 680.19 1488.10 894.80 473.76 2097.11 187.51 895.82 894.90 4
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS80.84 188.10 688.56 686.73 3892.24 5069.03 7889.57 6193.39 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 11187.63 794.27 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 2497.00 484.90 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 4674.62 8888.90 593.85 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 2693.64 2672.04 3789.80 5593.50 975.17 8286.34 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 5679.45 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 11588.58 694.52 773.36 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 1084.37 2594.83 2894.03 24
MCST-MVS87.37 1887.25 1687.73 1994.53 772.46 3189.82 5393.82 473.07 11484.86 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 7984.91 2994.44 1270.78 3896.61 1583.75 2994.89 2693.66 35
MTAPA87.23 2087.00 2087.90 1494.18 1974.25 286.58 15992.02 5679.45 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 2793.88 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 3197.09 284.83 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 3496.76 880.82 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 7584.91 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 7383.86 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 4976.87 4982.81 6094.25 1766.44 7096.24 2582.88 3994.28 3993.38 48
Regformer-286.63 2986.53 2786.95 3589.33 9171.24 4488.43 9192.05 5582.50 186.88 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 6568.69 18485.00 2793.10 3974.43 1395.41 4784.97 1595.71 1093.02 62
PHI-MVS86.43 3086.17 3387.24 2990.88 6770.96 4792.27 1794.07 172.45 12685.22 2591.90 5769.47 4996.42 2183.28 3395.94 594.35 13
Regformer-186.41 3286.33 2886.64 4089.33 9170.93 4988.43 9191.39 8582.14 386.65 1590.09 9374.39 1595.01 6383.97 2890.63 6793.97 28
CSCG86.41 3286.19 3287.07 3492.91 4072.48 3090.81 3493.56 873.95 9683.16 5591.07 7475.94 695.19 5479.94 5794.38 3793.55 44
agg_prior186.22 3486.09 3486.62 4192.85 4171.94 3888.59 8891.78 7168.96 18184.41 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 7568.29 19084.26 4292.83 4772.83 2595.42 4684.97 1595.71 1093.02 62
APD-MVS_3200maxsize85.97 3685.88 3586.22 4892.69 4469.53 7291.93 2192.99 2673.54 10385.94 1794.51 1065.80 7795.61 3883.04 3792.51 5293.53 46
canonicalmvs85.91 3785.87 3686.04 5289.84 8169.44 7690.45 4393.00 2476.70 5588.01 1091.23 7173.28 2293.91 10281.50 4688.80 8594.77 5
ACMMPcopyleft85.89 3885.39 4087.38 2893.59 2772.63 2692.74 1193.18 1976.78 5180.73 8093.82 2864.33 8596.29 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 3985.29 4487.17 3193.49 2971.08 4588.58 8992.42 4468.32 18984.61 3693.48 3172.32 2996.15 2979.00 5995.43 1594.28 17
TSAR-MVS + GP.85.71 4085.33 4186.84 3691.34 6072.50 2989.07 7387.28 20076.41 5885.80 2090.22 9174.15 1995.37 5181.82 4491.88 5492.65 71
Regformer-485.68 4185.45 3986.35 4488.95 10469.67 6988.29 10091.29 8781.73 485.36 2390.01 9572.62 2795.35 5283.28 3387.57 10094.03 24
alignmvs85.48 4285.32 4285.96 5389.51 8769.47 7489.74 5792.47 4076.17 6587.73 1291.46 6970.32 4193.78 11181.51 4588.95 8294.63 6
3Dnovator+77.84 485.48 4284.47 5188.51 291.08 6373.49 1393.18 493.78 580.79 1076.66 14193.37 3460.40 15996.75 977.20 7793.73 4495.29 1
MVS_030585.44 4484.74 5087.55 2589.80 8371.64 4189.65 5990.50 10681.57 580.44 8290.58 8563.40 9396.68 1183.43 3093.30 4594.31 16
MSLP-MVS++85.43 4585.76 3884.45 8091.93 5570.24 5790.71 3692.86 3177.46 4084.22 4392.81 5067.16 6692.94 15180.36 5394.35 3890.16 146
DELS-MVS85.41 4685.30 4385.77 5488.49 12067.93 10685.52 18893.44 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 4786.57 4393.69 2470.58 5592.15 1991.62 7673.89 9782.67 6294.09 2362.60 11995.54 4180.93 4892.93 4793.57 43
Regformer-385.23 4885.07 4585.70 5588.95 10469.01 8088.29 10089.91 13380.95 885.01 2690.01 9572.45 2894.19 8982.50 4287.57 10093.90 31
abl_685.23 4884.95 4786.07 5192.23 5170.48 5690.80 3592.08 5473.51 10485.26 2494.16 2062.75 11295.92 3582.46 4391.30 6191.81 95
MVS_111021_HR85.14 5084.75 4986.32 4791.65 5872.70 2585.98 17490.33 11576.11 6682.08 6591.61 6471.36 3594.17 9181.02 4792.58 5192.08 88
UA-Net85.08 5184.96 4685.45 5692.07 5368.07 10489.78 5690.86 9782.48 284.60 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 13780.05 1682.95 5689.59 10270.74 4094.82 7180.66 5284.72 13193.28 52
nrg03083.88 5383.53 5384.96 6886.77 16269.28 7790.46 4292.67 3774.79 8682.95 5691.33 7072.70 2693.09 14580.79 5179.28 18492.50 74
EI-MVSNet-UG-set83.81 5483.38 5585.09 6587.87 13667.53 11187.44 12689.66 13879.74 1782.23 6489.41 11170.24 4294.74 7379.95 5683.92 13792.99 65
CPTT-MVS83.73 5583.33 5684.92 7193.28 3270.86 5192.09 2090.38 11068.75 18379.57 8692.83 4760.60 15593.04 14880.92 4991.56 5890.86 116
EPNet83.72 5682.92 6286.14 5084.22 19269.48 7391.05 3285.27 22081.30 776.83 13891.65 6166.09 7395.56 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 4179.12 2278.92 9391.00 7860.42 15795.38 4978.71 6286.32 11891.33 104
Effi-MVS+83.62 5883.08 5885.24 6188.38 12567.45 11288.89 7689.15 15475.50 7482.27 6388.28 13369.61 4894.45 8077.81 7187.84 9893.84 33
OPM-MVS83.50 5982.95 6185.14 6388.79 11270.95 4889.13 7291.52 8077.55 3780.96 7891.75 5960.71 15194.50 7979.67 5886.51 11689.97 158
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 8872.45 12790.97 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 11692.74 4362.28 21488.17 10489.50 14275.22 8081.49 7192.74 5166.75 6795.11 5772.85 12091.58 5792.45 75
EPP-MVSNet83.40 6283.02 6084.57 7690.13 7564.47 17692.32 1690.73 9874.45 9079.35 8991.10 7269.05 5395.12 5672.78 12187.22 10794.13 19
3Dnovator76.31 583.38 6382.31 6986.59 4287.94 13572.94 2290.64 3792.14 5377.21 4175.47 15592.83 4758.56 16694.72 7473.24 11792.71 5092.13 86
MVS_Test83.15 6483.06 5983.41 11386.86 15963.21 20086.11 17292.00 5974.31 9182.87 5889.44 11070.03 4393.21 13677.39 7688.50 9493.81 34
IS-MVSNet83.15 6482.81 6384.18 8989.94 7963.30 19791.59 2488.46 18179.04 2479.49 8792.16 5265.10 8194.28 8367.71 15991.86 5594.95 3
DP-MVS Recon83.11 6682.09 7186.15 4994.44 970.92 5088.79 8092.20 5070.53 15379.17 9091.03 7764.12 8796.03 3068.39 15890.14 7291.50 101
PAPM_NR83.02 6782.41 6684.82 7392.47 4966.37 12987.93 11191.80 6973.82 9877.32 13090.66 8367.90 5994.90 6870.37 14389.48 7993.19 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 10277.05 8088.70 8794.57 9
MVSFormer82.85 6982.05 7285.24 6187.35 14970.21 5890.50 4090.38 11068.55 18681.32 7289.47 10561.68 13393.46 12778.98 6090.26 7092.05 89
OMC-MVS82.69 7081.97 7584.85 7288.75 11467.42 11387.98 10790.87 9674.92 8579.72 8591.65 6162.19 13093.96 9775.26 10086.42 11793.16 58
PVSNet_Blended_VisFu82.62 7181.83 7684.96 6890.80 6969.76 6788.74 8591.70 7469.39 16778.96 9288.46 12965.47 7894.87 7074.42 10488.57 9090.24 144
MVS_111021_LR82.61 7282.11 7084.11 9088.82 10971.58 4285.15 19186.16 21374.69 8780.47 8191.04 7562.29 12790.55 21180.33 5490.08 7390.20 145
HQP-MVS82.61 7282.02 7384.37 8289.33 9166.98 12189.17 6792.19 5176.41 5877.23 13390.23 9060.17 16095.11 5777.47 7485.99 12291.03 110
CLD-MVS82.31 7481.65 7784.29 8688.47 12167.73 11085.81 18092.35 4675.78 6978.33 10786.58 18164.01 8894.35 8176.05 8787.48 10590.79 117
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 17690.82 6860.93 22184.47 20389.78 13576.36 6284.07 4591.88 5864.71 8490.26 21370.68 14088.89 8393.66 35
LPG-MVS_test82.08 7681.27 8084.50 7889.23 9968.76 8690.22 4891.94 6375.37 7776.64 14291.51 6654.29 19894.91 6678.44 6483.78 13889.83 162
FIs82.07 7782.42 6581.04 18988.80 11158.34 24088.26 10293.49 1076.93 4878.47 10191.04 7569.92 4592.34 16969.87 14784.97 12792.44 76
PS-MVSNAJss82.07 7781.31 7984.34 8586.51 16467.27 11789.27 6591.51 8171.75 13579.37 8890.22 9163.15 10094.27 8477.69 7282.36 15491.49 102
API-MVS81.99 7981.23 8184.26 8790.94 6570.18 6391.10 3189.32 14771.51 14178.66 9788.28 13365.26 7995.10 6064.74 18691.23 6287.51 223
UniMVSNet_NR-MVSNet81.88 8081.54 7882.92 13688.46 12263.46 19387.13 13892.37 4580.19 1478.38 10589.14 11371.66 3393.05 14670.05 14476.46 21792.25 82
MAR-MVS81.84 8180.70 8785.27 6091.32 6171.53 4389.82 5390.92 9569.77 16278.50 9986.21 19162.36 12694.52 7865.36 18092.05 5389.77 165
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 10891.89 5663.43 19589.84 5281.85 25277.04 4683.21 5393.10 3952.26 21393.43 13171.98 13389.95 7593.85 32
xiu_mvs_v2_base81.69 8381.05 8483.60 10689.15 10268.03 10584.46 20590.02 12970.67 15181.30 7486.53 18463.17 9994.19 8975.60 9688.54 9288.57 201
PS-MVSNAJ81.69 8381.02 8583.70 10489.51 8768.21 10284.28 21190.09 12570.79 14881.26 7585.62 20363.15 10094.29 8275.62 9588.87 8488.59 199
PAPR81.66 8580.89 8683.99 9890.27 7364.00 18686.76 15491.77 7368.84 18277.13 13789.50 10367.63 6194.88 6967.55 16188.52 9393.09 59
UniMVSNet (Re)81.60 8681.11 8383.09 12488.38 12564.41 17887.60 11693.02 2378.42 3078.56 9888.16 13569.78 4693.26 13569.58 14976.49 21691.60 97
FC-MVSNet-test81.52 8782.02 7380.03 20488.42 12455.97 27087.95 10993.42 1277.10 4477.38 12890.98 8069.96 4491.79 17768.46 15784.50 13292.33 78
VDDNet81.52 8780.67 8884.05 9390.44 7164.13 18289.73 5885.91 21671.11 14483.18 5493.48 3150.54 23293.49 12673.40 11688.25 9694.54 10
ACMP74.13 681.51 8980.57 8984.36 8389.42 8968.69 9389.97 5191.50 8374.46 8975.04 17190.41 8753.82 20394.54 7677.56 7382.91 14689.86 161
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 17586.77 20463.24 23281.07 7789.47 10561.08 14792.15 17378.33 6790.07 7492.05 89
jason: jason.
lupinMVS81.39 9080.27 9584.76 7487.35 14970.21 5885.55 18586.41 20862.85 23881.32 7288.61 12461.68 13392.24 17278.41 6690.26 7091.83 93
DU-MVS81.12 9280.52 9182.90 13787.80 13963.46 19387.02 14391.87 6779.01 2578.38 10589.07 11465.02 8293.05 14670.05 14476.46 21792.20 83
PVSNet_Blended80.98 9380.34 9282.90 13788.85 10665.40 14584.43 20792.00 5967.62 19478.11 11685.05 21566.02 7594.27 8471.52 13789.50 7889.01 181
mvs-test180.88 9479.40 11285.29 5985.13 17969.75 6889.28 6488.10 18674.99 8376.44 14586.72 16857.27 17594.26 8773.53 11483.18 14491.87 92
QAPM80.88 9479.50 11085.03 6688.01 13468.97 8291.59 2492.00 5966.63 20375.15 16892.16 5257.70 17195.45 4463.52 19088.76 8690.66 125
112180.84 9679.77 10084.05 9393.11 3770.78 5284.66 19885.42 21957.37 28081.76 7092.02 5463.41 9294.12 9267.28 16492.93 4787.26 230
TranMVSNet+NR-MVSNet80.84 9680.31 9382.42 15587.85 13762.33 21287.74 11491.33 8680.55 1177.99 11989.86 9765.23 8092.62 15967.05 16875.24 23592.30 80
UGNet80.83 9879.59 10584.54 7788.04 13268.09 10389.42 6288.16 18376.95 4776.22 14789.46 10749.30 24093.94 9968.48 15690.31 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 10988.85 10664.51 17085.53 18789.39 14570.79 14878.49 10085.06 21467.54 6293.58 12267.03 16986.58 11492.32 79
XVG-OURS-SEG-HR80.81 9979.76 10183.96 10085.60 17368.78 8583.54 22290.50 10670.66 15276.71 14091.66 6060.69 15291.26 19476.94 8181.58 16091.83 93
xiu_mvs_v1_base_debu80.80 10179.72 10284.03 9587.35 14970.19 6085.56 18288.77 17369.06 17681.83 6688.16 13550.91 22692.85 15378.29 6887.56 10289.06 174
xiu_mvs_v1_base80.80 10179.72 10284.03 9587.35 14970.19 6085.56 18288.77 17369.06 17681.83 6688.16 13550.91 22692.85 15378.29 6887.56 10289.06 174
xiu_mvs_v1_base_debi80.80 10179.72 10284.03 9587.35 14970.19 6085.56 18288.77 17369.06 17681.83 6688.16 13550.91 22692.85 15378.29 6887.56 10289.06 174
ACMM73.20 880.78 10479.84 9983.58 10789.31 9668.37 9789.99 5091.60 7770.28 15677.25 13189.66 10053.37 20593.53 12574.24 10782.85 14788.85 185
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 6091.11 9258.75 27074.08 17890.72 8258.10 16995.04 6269.70 14889.42 8090.30 143
VPA-MVSNet80.60 10680.55 9080.76 19388.07 13160.80 22486.86 14891.58 7875.67 7280.24 8389.45 10963.34 9490.25 21470.51 14279.22 18591.23 107
PVSNet_BlendedMVS80.60 10680.02 9682.36 15788.85 10665.40 14586.16 17092.00 5969.34 17078.11 11686.09 19466.02 7594.27 8471.52 13782.06 15587.39 225
AdaColmapbinary80.58 10879.42 11184.06 9293.09 3868.91 8389.36 6388.97 16469.27 17175.70 15489.69 9957.20 17895.77 3663.06 19488.41 9587.50 224
EI-MVSNet80.52 10979.98 9782.12 15984.28 18963.19 20286.41 16488.95 16674.18 9378.69 9587.54 14966.62 6892.43 16472.57 12680.57 17190.74 120
XVG-OURS80.41 11079.23 12283.97 9985.64 17269.02 7983.03 22590.39 10971.09 14577.63 12591.49 6854.62 19691.35 19275.71 9383.47 14091.54 99
v1neww80.40 11179.54 10682.98 13184.10 20064.51 17087.57 11890.22 11973.25 10778.47 10186.65 17662.83 10893.86 10575.72 9177.02 20390.58 131
v7new80.40 11179.54 10682.98 13184.10 20064.51 17087.57 11890.22 11973.25 10778.47 10186.65 17662.83 10893.86 10575.72 9177.02 20390.58 131
v680.40 11179.54 10682.98 13184.09 20264.50 17487.57 11890.22 11973.25 10778.47 10186.63 17862.84 10793.86 10575.73 9077.02 20390.58 131
PCF-MVS73.52 780.38 11478.84 12885.01 6787.71 14268.99 8183.65 21991.46 8463.00 23577.77 12390.28 8866.10 7295.09 6161.40 21088.22 9790.94 114
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
X-MVStestdata80.37 11577.83 15088.00 894.42 1073.33 1692.78 992.99 2679.14 2083.67 5012.47 32767.45 6396.60 1783.06 3594.50 3394.07 22
test_djsdf80.30 11679.32 11583.27 11783.98 20965.37 14890.50 4090.38 11068.55 18676.19 14888.70 12056.44 18293.46 12778.98 6080.14 17890.97 113
v780.24 11779.26 12183.15 12184.07 20664.94 15987.56 12190.67 9972.26 13078.28 10886.51 18561.45 13894.03 9675.14 10177.41 19790.49 136
v2v48280.23 11879.29 11983.05 12783.62 21864.14 18187.04 14289.97 13073.61 10078.18 11587.22 15861.10 14693.82 10876.11 8676.78 21491.18 108
NR-MVSNet80.23 11879.38 11382.78 14787.80 13963.34 19686.31 16791.09 9379.01 2572.17 19789.07 11467.20 6592.81 15766.08 17575.65 22692.20 83
v114180.19 12079.31 11682.85 14083.84 21264.12 18387.14 13590.08 12673.13 11078.27 10986.39 18762.67 11793.75 11575.40 9876.83 21190.68 122
divwei89l23v2f11280.19 12079.31 11682.85 14083.84 21264.11 18587.13 13890.08 12673.13 11078.27 10986.39 18762.69 11593.75 11575.40 9876.82 21290.68 122
v180.19 12079.31 11682.85 14083.83 21464.12 18387.14 13590.07 12873.13 11078.27 10986.38 18962.72 11493.75 11575.41 9776.82 21290.68 122
MVS_dtu80.14 12379.28 12082.72 14983.83 21463.10 20386.76 15488.55 17975.80 6873.83 18087.59 14554.43 19792.97 15072.96 11989.78 7792.09 87
IterMVS-LS80.06 12479.38 11382.11 16085.89 16863.20 20186.79 15189.34 14674.19 9275.45 15786.72 16866.62 6892.39 16672.58 12576.86 20890.75 119
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Effi-MVS+-dtu80.03 12578.57 13484.42 8185.13 17968.74 8888.77 8188.10 18674.99 8374.97 17283.49 23157.27 17593.36 13273.53 11480.88 16591.18 108
v114480.03 12579.03 12583.01 12983.78 21664.51 17087.11 14090.57 10471.96 13478.08 11886.20 19261.41 13993.94 9974.93 10277.23 19990.60 128
v879.97 12779.02 12682.80 14484.09 20264.50 17487.96 10890.29 11874.13 9575.24 16686.81 16562.88 10593.89 10474.39 10575.40 23190.00 157
DI_MVS_plusplus_test79.89 12878.58 13383.85 10382.89 23865.32 14986.12 17189.55 14069.64 16670.55 21285.82 19957.24 17793.81 10976.85 8288.55 9192.41 77
test_normal79.81 12978.45 13683.89 10282.70 24265.40 14585.82 17989.48 14369.39 16770.12 22185.66 20257.15 17993.71 12077.08 7988.62 8992.56 73
OpenMVScopyleft72.83 1079.77 13078.33 14284.09 9185.17 17669.91 6490.57 3890.97 9466.70 19972.17 19791.91 5654.70 19493.96 9761.81 20790.95 6488.41 207
v1079.74 13178.67 12982.97 13584.06 20764.95 15887.88 11390.62 10273.11 11375.11 16986.56 18261.46 13794.05 9573.68 11075.55 22889.90 159
BH-RMVSNet79.61 13278.44 13883.14 12289.38 9065.93 13584.95 19487.15 20173.56 10278.19 11489.79 9856.67 18193.36 13259.53 22586.74 11290.13 148
v119279.59 13378.43 13983.07 12683.55 22064.52 16886.93 14690.58 10370.83 14777.78 12285.90 19559.15 16393.94 9973.96 10977.19 20190.76 118
diffmvs79.51 13478.59 13282.25 15883.31 22562.66 20984.17 21288.11 18467.64 19276.09 15287.47 15164.01 8891.15 19771.71 13684.82 13092.94 66
ab-mvs79.51 13478.97 12781.14 18788.46 12260.91 22283.84 21789.24 15270.36 15579.03 9188.87 11863.23 9890.21 21565.12 18182.57 15292.28 81
WR-MVS79.49 13679.22 12380.27 20188.79 11258.35 23985.06 19288.61 17878.56 2877.65 12488.34 13163.81 9190.66 21064.98 18477.22 20091.80 96
v14419279.47 13778.37 14082.78 14783.35 22363.96 18786.96 14490.36 11369.99 15977.50 12685.67 20160.66 15393.77 11374.27 10676.58 21590.62 126
BH-untuned79.47 13778.60 13182.05 16189.19 10165.91 13686.07 17388.52 18072.18 13175.42 15887.69 14361.15 14593.54 12460.38 21786.83 11186.70 242
mvs_anonymous79.42 13979.11 12480.34 19884.45 18857.97 24582.59 22687.62 19567.40 19876.17 15188.56 12768.47 5589.59 22270.65 14186.05 12193.47 47
V4279.38 14078.24 14482.83 14381.10 26365.50 14485.55 18589.82 13471.57 14078.21 11386.12 19360.66 15393.18 14075.64 9475.46 23089.81 164
jajsoiax79.29 14177.96 14783.27 11784.68 18566.57 12789.25 6690.16 12369.20 17375.46 15689.49 10445.75 25993.13 14376.84 8380.80 16790.11 149
v192192079.22 14278.03 14682.80 14483.30 22663.94 18886.80 15090.33 11569.91 16077.48 12785.53 20558.44 16793.75 11573.60 11376.85 20990.71 121
TAPA-MVS73.13 979.15 14377.94 14882.79 14689.59 8562.99 20788.16 10591.51 8165.77 21177.14 13691.09 7360.91 14993.21 13650.26 27387.05 10992.17 85
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
mvs_tets79.13 14477.77 15383.22 11984.70 18466.37 12989.17 6790.19 12269.38 16975.40 15989.46 10744.17 26593.15 14176.78 8480.70 16990.14 147
CDS-MVSNet79.07 14577.70 15483.17 12087.60 14468.23 10184.40 20986.20 21267.49 19676.36 14686.54 18361.54 13690.79 20861.86 20687.33 10690.49 136
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSTER79.01 14677.88 14982.38 15683.07 23264.80 16284.08 21688.95 16669.01 18078.69 9587.17 16154.70 19492.43 16474.69 10380.57 17189.89 160
v124078.99 14777.78 15282.64 15283.21 22763.54 19186.62 15890.30 11769.74 16577.33 12985.68 20057.04 18093.76 11473.13 11876.92 20690.62 126
v7n78.97 14877.58 15683.14 12283.45 22265.51 14388.32 9891.21 8973.69 9972.41 19486.32 19057.93 17093.81 10969.18 15275.65 22690.11 149
TAMVS78.89 14977.51 15783.03 12887.80 13967.79 10984.72 19785.05 22367.63 19376.75 13987.70 14262.25 12890.82 20758.53 23487.13 10890.49 136
v14878.72 15077.80 15181.47 18082.73 24161.96 21786.30 16888.08 18873.26 10676.18 14985.47 20762.46 12592.36 16871.92 13573.82 24790.09 151
VPNet78.69 15178.66 13078.76 22088.31 12755.72 27284.45 20686.63 20676.79 5078.26 11290.55 8659.30 16289.70 22166.63 17077.05 20290.88 115
anonymousdsp78.60 15277.15 16282.98 13180.51 26967.08 11987.24 13389.53 14165.66 21375.16 16787.19 16052.52 20792.25 17177.17 7879.34 18389.61 168
WR-MVS_H78.51 15378.49 13578.56 22388.02 13356.38 26588.43 9192.67 3777.14 4273.89 17987.55 14866.25 7189.24 22858.92 22973.55 24990.06 155
GBi-Net78.40 15477.40 15881.40 18287.60 14463.01 20488.39 9589.28 14871.63 13775.34 16187.28 15454.80 19091.11 19862.72 19579.57 17990.09 151
test178.40 15477.40 15881.40 18287.60 14463.01 20488.39 9589.28 14871.63 13775.34 16187.28 15454.80 19091.11 19862.72 19579.57 17990.09 151
Vis-MVSNet (Re-imp)78.36 15678.45 13678.07 23088.64 11651.78 28786.70 15679.63 27274.14 9475.11 16990.83 8161.29 14289.75 21958.10 23891.60 5692.69 70
CP-MVSNet78.22 15778.34 14177.84 23287.83 13854.54 27687.94 11091.17 9177.65 3273.48 18288.49 12862.24 12988.43 24162.19 20174.07 24290.55 134
BH-w/o78.21 15877.33 16080.84 19188.81 11065.13 15584.87 19587.85 19269.75 16374.52 17684.74 22061.34 14093.11 14458.24 23785.84 12484.27 267
FMVSNet278.20 15977.21 16181.20 18587.60 14462.89 20887.47 12589.02 15771.63 13775.29 16587.28 15454.80 19091.10 20162.38 19979.38 18289.61 168
MVS78.19 16076.99 16481.78 16685.66 17166.99 12084.66 19890.47 10855.08 29072.02 20185.27 21063.83 9094.11 9466.10 17489.80 7684.24 268
Baseline_NR-MVSNet78.15 16178.33 14277.61 23685.79 16956.21 26886.78 15285.76 21773.60 10177.93 12087.57 14765.02 8288.99 23267.14 16775.33 23287.63 220
CNLPA78.08 16276.79 16881.97 16390.40 7271.07 4687.59 11784.55 22666.03 21072.38 19589.64 10157.56 17386.04 25959.61 22383.35 14188.79 188
PLCcopyleft70.83 1178.05 16376.37 17483.08 12591.88 5767.80 10888.19 10389.46 14464.33 22569.87 22788.38 13053.66 20493.58 12258.86 23082.73 14987.86 216
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Fast-Effi-MVS+-dtu78.02 16476.49 17182.62 15383.16 23166.96 12386.94 14587.45 19972.45 12671.49 20784.17 22254.79 19391.58 18967.61 16080.31 17589.30 172
PS-CasMVS78.01 16578.09 14577.77 23487.71 14254.39 27888.02 10691.22 8877.50 3973.26 18488.64 12360.73 15088.41 24261.88 20573.88 24690.53 135
v74877.97 16676.65 17081.92 16582.29 24863.28 19887.53 12290.35 11473.50 10570.76 21185.55 20458.28 16892.81 15768.81 15572.76 25489.67 167
V477.95 16776.37 17482.67 15079.40 28065.52 14186.43 16289.94 13172.28 12872.14 20084.95 21655.72 18593.44 12973.64 11172.86 25289.05 178
HY-MVS69.67 1277.95 16777.15 16280.36 19787.57 14860.21 22883.37 22487.78 19366.11 20775.37 16087.06 16363.27 9690.48 21261.38 21182.43 15390.40 141
v5277.94 16976.37 17482.67 15079.39 28165.52 14186.43 16289.94 13172.28 12872.15 19984.94 21755.70 18693.44 12973.64 11172.84 25389.06 174
FMVSNet377.88 17076.85 16680.97 19086.84 16062.36 21186.52 16188.77 17371.13 14375.34 16186.66 17554.07 20191.10 20162.72 19579.57 17989.45 170
Test477.83 17175.90 18883.62 10580.24 27165.25 15185.27 19090.67 9969.03 17966.48 26283.75 22743.07 27093.00 14975.93 8988.66 8892.62 72
PEN-MVS77.73 17277.69 15577.84 23287.07 15753.91 28087.91 11291.18 9077.56 3673.14 18688.82 11961.23 14389.17 22959.95 22072.37 25590.43 139
v1677.69 17376.36 17781.68 17384.15 19764.63 16787.33 12888.99 16172.69 12469.31 23582.08 24462.80 11191.79 17772.70 12367.23 27788.63 193
v1777.68 17476.35 17881.69 17284.15 19764.65 16587.33 12888.99 16172.70 12369.25 23682.07 24562.82 11091.79 17772.69 12467.15 27988.63 193
PAPM77.68 17476.40 17381.51 17987.29 15461.85 21883.78 21889.59 13964.74 22071.23 20888.70 12062.59 12093.66 12152.66 26487.03 11089.01 181
v1877.67 17676.35 17881.64 17584.09 20264.47 17687.27 13189.01 15972.59 12569.39 23282.04 24662.85 10691.80 17672.72 12267.20 27888.63 193
HyFIR77.63 17775.69 18983.44 11089.98 7868.58 9578.70 26087.50 19756.38 28575.80 15386.84 16458.67 16591.40 19161.58 20985.75 12590.34 142
HyFIR lowres test77.53 17875.40 19383.94 10189.59 8566.62 12580.36 24488.64 17756.29 28676.45 14485.17 21157.64 17293.28 13461.34 21283.10 14591.91 91
V1477.52 17976.12 18181.70 17184.15 19764.77 16387.21 13488.95 16672.80 12068.79 23881.94 25262.69 11591.72 18272.31 12966.27 28588.60 197
V977.52 17976.11 18481.73 17084.19 19664.89 16087.26 13288.94 16972.87 11968.65 24181.96 25162.65 11891.72 18272.27 13066.24 28688.60 197
v1577.51 18176.12 18181.66 17484.09 20264.65 16587.14 13588.96 16572.76 12168.90 23781.91 25362.74 11391.73 18072.32 12866.29 28488.61 196
v1277.51 18176.09 18581.76 16984.22 19264.99 15787.30 13088.93 17072.92 11668.48 24581.97 24962.54 12291.70 18572.24 13166.21 28888.58 200
v1377.50 18376.07 18681.77 16784.23 19165.07 15687.34 12788.91 17172.92 11668.35 24681.97 24962.53 12391.69 18672.20 13266.22 28788.56 202
v1177.45 18476.06 18781.59 17884.22 19264.52 16887.11 14089.02 15772.76 12168.76 23981.90 25462.09 13191.71 18471.98 13366.73 28088.56 202
FMVSNet177.44 18576.12 18181.40 18286.81 16163.01 20488.39 9589.28 14870.49 15474.39 17787.28 15449.06 24391.11 19860.91 21478.52 18790.09 151
TR-MVS77.44 18576.18 18081.20 18588.24 12863.24 19984.61 20186.40 20967.55 19577.81 12186.48 18654.10 20093.15 14157.75 24182.72 15087.20 231
1112_ss77.40 18776.43 17280.32 19989.11 10360.41 22783.65 21987.72 19462.13 24673.05 18786.72 16862.58 12189.97 21762.11 20480.80 16790.59 130
pm-mvs177.25 18876.68 16978.93 21884.22 19258.62 23786.41 16488.36 18271.37 14273.31 18388.01 13961.22 14489.15 23064.24 18873.01 25189.03 180
LCM-MVSNet-Re77.05 18976.94 16577.36 23987.20 15551.60 28880.06 24680.46 26475.20 8167.69 25086.72 16862.48 12488.98 23363.44 19189.25 8191.51 100
DTE-MVSNet76.99 19076.80 16777.54 23886.24 16653.06 28487.52 12390.66 10177.08 4572.50 19288.67 12260.48 15689.52 22357.33 24570.74 26690.05 156
LS3D76.95 19174.82 19783.37 11490.45 7067.36 11689.15 7186.94 20361.87 24869.52 23090.61 8451.71 21994.53 7746.38 28786.71 11388.21 209
GA-MVS76.87 19275.17 19581.97 16382.75 24062.58 21081.44 23886.35 21172.16 13374.74 17482.89 23446.20 25492.02 17568.85 15481.09 16391.30 106
DP-MVS76.78 19374.57 19983.42 11193.29 3169.46 7588.55 9083.70 23363.98 22970.20 21788.89 11754.01 20294.80 7246.66 28481.88 15886.01 252
cascas76.72 19474.64 19882.99 13085.78 17065.88 13782.33 22889.21 15360.85 25472.74 18981.02 26147.28 24993.75 11567.48 16285.02 12689.34 171
131476.53 19575.30 19480.21 20283.93 21062.32 21384.66 19888.81 17260.23 25870.16 22084.07 22455.30 18990.73 20967.37 16383.21 14387.59 222
Test_1112_low_res76.40 19675.44 19279.27 21389.28 9758.09 24281.69 23487.07 20259.53 26472.48 19386.67 17461.30 14189.33 22660.81 21680.15 17790.41 140
F-COLMAP76.38 19774.33 20382.50 15489.28 9766.95 12488.41 9489.03 15664.05 22766.83 25888.61 12446.78 25292.89 15257.48 24278.55 18687.67 219
LTVRE_ROB69.57 1376.25 19874.54 20181.41 18188.60 11764.38 17979.24 25489.12 15570.76 15069.79 22987.86 14049.09 24293.20 13856.21 25180.16 17686.65 243
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 19974.46 20281.13 18885.37 17569.79 6684.42 20887.95 19065.03 21867.46 25285.33 20953.28 20691.73 18058.01 23983.27 14281.85 287
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
XVG-ACMP-BASELINE76.11 20074.27 20481.62 17683.20 22864.67 16483.60 22189.75 13669.75 16371.85 20287.09 16232.78 30292.11 17469.99 14680.43 17488.09 211
ACMH+68.96 1476.01 20174.01 20582.03 16288.60 11765.31 15088.86 7787.55 19670.25 15767.75 24987.47 15141.27 28093.19 13958.37 23575.94 22287.60 221
ACMH67.68 1675.89 20273.93 20681.77 16788.71 11566.61 12688.62 8789.01 15969.81 16166.78 25986.70 17341.95 27991.51 19055.64 25278.14 19287.17 232
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IB-MVS68.01 1575.85 20373.36 21083.31 11584.76 18366.03 13283.38 22385.06 22270.21 15869.40 23181.05 26045.76 25894.66 7565.10 18275.49 22989.25 173
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 20473.34 21182.89 13977.37 28965.22 15284.10 21590.54 10569.09 17560.46 28581.15 25940.48 28392.84 15676.36 8580.54 17390.60 128
WTY-MVS75.65 20575.68 19075.57 25386.40 16556.82 25677.92 26682.40 24565.10 21776.18 14987.72 14163.13 10380.90 28160.31 21881.96 15689.00 183
EPNet_dtu75.46 20674.86 19677.23 24282.57 24554.60 27586.89 14783.09 23971.64 13666.25 26485.86 19755.99 18488.04 24654.92 25486.55 11589.05 178
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
XXY-MVS75.41 20775.56 19174.96 25783.59 21957.82 24880.59 24383.87 23266.54 20474.93 17388.31 13263.24 9780.09 28562.16 20276.85 20986.97 237
TransMVSNet (Re)75.39 20874.56 20077.86 23185.50 17457.10 25486.78 15286.09 21572.17 13271.53 20687.34 15363.01 10489.31 22756.84 24861.83 29687.17 232
CostFormer75.24 20973.90 20779.27 21382.65 24458.27 24180.80 23982.73 24361.57 24975.33 16483.13 23355.52 18791.07 20464.98 18478.34 19188.45 205
pmmvs674.69 21073.39 20978.61 22281.38 25857.48 25186.64 15787.95 19064.99 21970.18 21886.61 17950.43 23389.52 22362.12 20370.18 26888.83 186
PatchFormer-LS_test74.50 21173.05 21278.86 21982.95 23659.55 23381.65 23582.30 24767.44 19771.62 20578.15 28052.34 21188.92 23765.05 18375.90 22388.12 210
IterMVS74.29 21272.94 21378.35 22881.53 25663.49 19281.58 23682.49 24468.06 19169.99 22483.69 22951.66 22085.54 26265.85 17771.64 26186.01 252
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OurMVSNet-221017-074.26 21372.42 21779.80 20783.76 21759.59 23085.92 17786.64 20566.39 20566.96 25787.58 14639.46 28691.60 18865.76 17869.27 27088.22 208
EG-PatchMatch MVS74.04 21471.82 22280.71 19484.92 18267.42 11385.86 17888.08 18866.04 20964.22 27583.85 22535.10 30192.56 16257.44 24380.83 16682.16 286
pmmvs474.03 21571.91 21980.39 19681.96 25168.32 9881.45 23782.14 24959.32 26569.87 22785.13 21252.40 21088.13 24560.21 21974.74 23884.73 265
MS-PatchMatch73.83 21672.67 21477.30 24183.87 21166.02 13381.82 23184.66 22561.37 25268.61 24382.82 23647.29 24888.21 24359.27 22684.32 13577.68 300
DWT-MVSNet_test73.70 21771.86 22079.21 21582.91 23758.94 23582.34 22782.17 24865.21 21571.05 21078.31 27844.21 26490.17 21663.29 19377.28 19888.53 204
sss73.60 21873.64 20873.51 26882.80 23955.01 27476.12 27281.69 25362.47 24374.68 17585.85 19857.32 17478.11 29360.86 21580.93 16487.39 225
Patchmatch-test173.49 21971.85 22178.41 22784.05 20862.17 21579.96 24879.29 27466.30 20672.38 19579.58 27351.95 21785.08 26655.46 25377.67 19587.99 212
tpmp4_e2373.45 22071.17 22980.31 20083.55 22059.56 23281.88 23082.33 24657.94 27570.51 21481.62 25551.19 22491.63 18753.96 25877.51 19689.75 166
SixPastTwentyTwo73.37 22171.26 22879.70 20885.08 18157.89 24785.57 18183.56 23471.03 14665.66 26685.88 19642.10 27792.57 16159.11 22863.34 29388.65 192
CR-MVSNet73.37 22171.27 22779.67 20981.32 26165.19 15375.92 27480.30 26659.92 26172.73 19081.19 25752.50 20886.69 25359.84 22177.71 19387.11 235
MSDG73.36 22370.99 23080.49 19584.51 18765.80 13880.71 24186.13 21465.70 21265.46 26783.74 22844.60 26290.91 20651.13 26876.89 20784.74 264
tpm273.26 22471.46 22478.63 22183.34 22456.71 25980.65 24280.40 26556.63 28473.55 18182.02 24751.80 21891.24 19556.35 25078.42 19087.95 213
RPSCF73.23 22571.46 22478.54 22482.50 24659.85 22982.18 22982.84 24258.96 26771.15 20989.41 11145.48 26184.77 26858.82 23171.83 26091.02 112
PatchmatchNetpermissive73.12 22671.33 22678.49 22683.18 22960.85 22379.63 25078.57 27664.13 22671.73 20379.81 27251.20 22385.97 26057.40 24476.36 21988.66 191
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
COLMAP_ROBcopyleft66.92 1773.01 22770.41 23480.81 19287.13 15665.63 14088.30 9984.19 23062.96 23663.80 27887.69 14338.04 29292.56 16246.66 28474.91 23684.24 268
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CVMVSNet72.99 22872.58 21574.25 26484.28 18950.85 29486.41 16483.45 23644.56 31073.23 18587.54 14949.38 23885.70 26165.90 17678.44 18986.19 247
test-LLR72.94 22972.43 21674.48 26181.35 25958.04 24378.38 26177.46 28166.66 20069.95 22579.00 27648.06 24679.24 28766.13 17284.83 12886.15 248
test_040272.79 23070.44 23379.84 20688.13 13065.99 13485.93 17684.29 22865.57 21467.40 25485.49 20646.92 25192.61 16035.88 30674.38 24180.94 290
tpmrst72.39 23172.13 21873.18 27080.54 26849.91 29879.91 24979.08 27563.11 23371.69 20479.95 26955.32 18882.77 27665.66 17973.89 24586.87 238
PatchMatch-RL72.38 23270.90 23176.80 24588.60 11767.38 11579.53 25176.17 28762.75 24069.36 23382.00 24845.51 26084.89 26753.62 26080.58 17078.12 298
tpm72.37 23371.71 22374.35 26382.19 24952.00 28579.22 25577.29 28364.56 22272.95 18883.68 23051.35 22183.26 27558.33 23675.80 22487.81 217
PVSNet64.34 1872.08 23470.87 23275.69 25186.21 16756.44 26374.37 28480.73 26162.06 24770.17 21982.23 24242.86 27283.31 27454.77 25584.45 13487.32 228
RPMNet71.62 23568.94 24279.67 20981.32 26165.19 15375.92 27478.30 27857.60 27872.73 19076.45 28952.30 21286.69 25348.14 28177.71 19387.11 235
pmmvs571.55 23670.20 23675.61 25277.83 28656.39 26481.74 23380.89 25857.76 27667.46 25284.49 22149.26 24185.32 26557.08 24775.29 23385.11 261
test-mter71.41 23770.39 23574.48 26181.35 25958.04 24378.38 26177.46 28160.32 25769.95 22579.00 27636.08 29979.24 28766.13 17284.83 12886.15 248
K. test v371.19 23868.51 24479.21 21583.04 23457.78 24984.35 21076.91 28572.90 11862.99 28182.86 23539.27 28791.09 20361.65 20852.66 31188.75 189
tpmvs71.09 23969.29 23976.49 24682.04 25056.04 26978.92 25881.37 25764.05 22767.18 25678.28 27949.74 23789.77 21849.67 27672.37 25583.67 272
AllTest70.96 24068.09 25079.58 21185.15 17763.62 18984.58 20279.83 27062.31 24460.32 28686.73 16632.02 30388.96 23550.28 27171.57 26286.15 248
Patchmtry70.74 24169.16 24075.49 25480.72 26554.07 27974.94 28380.30 26658.34 27170.01 22281.19 25752.50 20886.54 25553.37 26171.09 26485.87 254
MIMVSNet70.69 24269.30 23874.88 25884.52 18656.35 26675.87 27679.42 27364.59 22167.76 24882.41 23941.10 28181.54 28046.64 28681.34 16186.75 241
tpm cat170.57 24368.31 24677.35 24082.41 24757.95 24678.08 26580.22 26852.04 30168.54 24477.66 28552.00 21687.84 24851.77 26572.07 25986.25 246
OpenMVS_ROBcopyleft64.09 1970.56 24468.19 24777.65 23580.26 27059.41 23485.01 19382.96 24158.76 26965.43 26882.33 24037.63 29591.23 19645.34 29276.03 22182.32 284
pmmvs-eth3d70.50 24567.83 25478.52 22577.37 28966.18 13181.82 23181.51 25558.90 26863.90 27780.42 26642.69 27386.28 25858.56 23365.30 29083.11 278
USDC70.33 24668.37 24576.21 24880.60 26756.23 26779.19 25686.49 20760.89 25361.29 28285.47 20731.78 30589.47 22553.37 26176.21 22082.94 283
Patchmatch-RL test70.24 24767.78 25677.61 23677.43 28859.57 23171.16 28970.33 30862.94 23768.65 24172.77 29950.62 23185.49 26369.58 14966.58 28287.77 218
CMPMVSbinary51.72 2170.19 24868.16 24876.28 24773.15 30557.55 25079.47 25283.92 23148.02 30856.48 30084.81 21843.13 26986.42 25762.67 19881.81 15984.89 262
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
gg-mvs-nofinetune69.95 24967.96 25175.94 24983.07 23254.51 27777.23 26970.29 30963.11 23370.32 21662.33 31143.62 26788.69 23953.88 25987.76 9984.62 266
TESTMET0.1,169.89 25069.00 24172.55 27179.27 28356.85 25578.38 26174.71 29757.64 27768.09 24777.19 28737.75 29376.70 29863.92 18984.09 13684.10 271
FMVSNet569.50 25167.96 25174.15 26582.97 23555.35 27380.01 24782.12 25062.56 24263.02 27981.53 25636.92 29681.92 27848.42 27974.06 24385.17 260
PMMVS69.34 25268.67 24371.35 27775.67 29662.03 21675.17 27873.46 30250.00 30668.68 24079.05 27452.07 21578.13 29261.16 21382.77 14873.90 307
EPMVS69.02 25368.16 24871.59 27379.61 27749.80 30077.40 26866.93 31762.82 23970.01 22279.05 27445.79 25777.86 29556.58 24975.26 23487.13 234
Anonymous2023120668.60 25467.80 25571.02 27980.23 27250.75 29578.30 26480.47 26356.79 28366.11 26582.63 23846.35 25378.95 28943.62 29575.70 22583.36 275
MIMVSNet168.58 25566.78 26073.98 26680.07 27351.82 28680.77 24084.37 22764.40 22459.75 28982.16 24336.47 29783.63 27242.73 29670.33 26786.48 245
EU-MVSNet68.53 25667.61 25871.31 27878.51 28547.01 30484.47 20384.27 22942.27 31166.44 26384.79 21940.44 28483.76 27058.76 23268.54 27683.17 276
PatchT68.46 25767.85 25370.29 28180.70 26643.93 30872.47 28774.88 29360.15 25970.55 21276.57 28849.94 23681.59 27950.58 26974.83 23785.34 257
test0.0.03 168.00 25867.69 25768.90 28677.55 28747.43 30275.70 27772.95 30466.66 20066.56 26082.29 24148.06 24675.87 30244.97 29374.51 24083.41 274
TDRefinement67.49 25964.34 26576.92 24373.47 30361.07 22084.86 19682.98 24059.77 26258.30 29285.13 21226.06 31087.89 24747.92 28260.59 30181.81 288
test20.0367.45 26066.95 25968.94 28575.48 29944.84 30677.50 26777.67 28066.66 20063.01 28083.80 22647.02 25078.40 29142.53 29768.86 27483.58 273
UnsupCasMVSNet_eth67.33 26165.99 26271.37 27573.48 30251.47 29075.16 27985.19 22165.20 21660.78 28480.93 26442.35 27477.20 29757.12 24653.69 31085.44 256
TinyColmap67.30 26264.81 26474.76 26081.92 25256.68 26080.29 24581.49 25660.33 25656.27 30183.22 23224.77 31287.66 25045.52 29069.47 26979.95 294
dp66.80 26365.43 26370.90 28079.74 27648.82 30175.12 28174.77 29559.61 26364.08 27677.23 28642.89 27180.72 28248.86 27866.58 28283.16 277
MDA-MVSNet-bldmvs66.68 26463.66 26775.75 25079.28 28260.56 22673.92 28578.35 27764.43 22350.13 31179.87 27144.02 26683.67 27146.10 28856.86 30583.03 280
testgi66.67 26566.53 26167.08 29175.62 29741.69 31375.93 27376.50 28666.11 20765.20 27186.59 18035.72 30074.71 30543.71 29473.38 25084.84 263
PM-MVS66.41 26664.14 26673.20 26973.92 30056.45 26278.97 25764.96 32163.88 23164.72 27280.24 26719.84 31883.44 27366.24 17164.52 29279.71 295
JIA-IIPM66.32 26762.82 27376.82 24477.09 29261.72 21965.34 31075.38 28958.04 27464.51 27362.32 31242.05 27886.51 25651.45 26769.22 27182.21 285
ADS-MVSNet266.20 26863.33 26874.82 25979.92 27458.75 23667.55 30675.19 29153.37 29765.25 26975.86 29042.32 27580.53 28341.57 29868.91 27285.18 258
YYNet165.03 26962.91 27171.38 27475.85 29556.60 26169.12 30074.66 29957.28 28154.12 30377.87 28345.85 25674.48 30649.95 27461.52 29883.05 279
MDA-MVSNet_test_wron65.03 26962.92 27071.37 27575.93 29456.73 25769.09 30174.73 29657.28 28154.03 30477.89 28245.88 25574.39 30749.89 27561.55 29782.99 281
Anonymous2023121164.82 27161.79 27573.91 26777.11 29150.92 29385.29 18981.53 25454.19 29257.98 29378.03 28126.90 30887.83 24937.92 30357.12 30482.99 281
Patchmatch-test64.82 27163.24 26969.57 28379.42 27949.82 29963.49 31369.05 31551.98 30259.95 28880.13 26850.91 22670.98 31540.66 30073.57 24887.90 215
ADS-MVSNet64.36 27362.88 27268.78 28879.92 27447.17 30367.55 30671.18 30753.37 29765.25 26975.86 29042.32 27573.99 30941.57 29868.91 27285.18 258
LF4IMVS64.02 27462.19 27469.50 28470.90 31053.29 28376.13 27177.18 28452.65 30058.59 29080.98 26223.55 31376.52 29953.06 26366.66 28178.68 297
UnsupCasMVSNet_bld63.70 27561.53 27770.21 28273.69 30151.39 29172.82 28681.89 25155.63 28857.81 29471.80 30138.67 28978.61 29049.26 27752.21 31280.63 291
new-patchmatchnet61.73 27661.73 27661.70 29972.74 30624.50 32969.16 29978.03 27961.40 25056.72 29975.53 29238.42 29076.48 30045.95 28957.67 30384.13 270
PVSNet_057.27 2061.67 27759.27 27868.85 28779.61 27757.44 25268.01 30473.44 30355.93 28758.54 29170.41 30444.58 26377.55 29647.01 28335.91 31771.55 309
LP61.36 27857.78 28172.09 27275.54 29858.53 23867.16 30875.22 29051.90 30354.13 30269.97 30537.73 29480.45 28432.74 31055.63 30777.29 302
test235659.50 27958.08 27963.74 29571.23 30941.88 31167.59 30572.42 30653.72 29657.65 29570.74 30326.31 30972.40 31232.03 31371.06 26576.93 304
MVS-HIRNet59.14 28057.67 28263.57 29681.65 25443.50 30971.73 28865.06 32039.59 31551.43 30957.73 31538.34 29182.58 27739.53 30173.95 24464.62 314
testus59.00 28157.91 28062.25 29872.25 30739.09 31669.74 29475.02 29253.04 29957.21 29773.72 29718.76 32070.33 31632.86 30968.57 27577.35 301
test123567858.74 28256.89 28564.30 29369.70 31141.87 31271.05 29074.87 29454.06 29350.63 31071.53 30225.30 31174.10 30831.80 31463.10 29476.93 304
pmmvs357.79 28354.26 28768.37 28964.02 31756.72 25875.12 28165.17 31940.20 31352.93 30769.86 30620.36 31775.48 30445.45 29155.25 30972.90 308
DSMNet-mixed57.77 28456.90 28460.38 30067.70 31535.61 31969.18 29853.97 32432.30 32157.49 29679.88 27040.39 28568.57 31938.78 30272.37 25576.97 303
111157.11 28556.82 28657.97 30369.10 31228.28 32468.90 30274.54 30054.01 29453.71 30574.51 29423.09 31467.90 32032.28 31161.26 29977.73 299
testpf56.51 28657.58 28353.30 30671.99 30841.19 31446.89 32269.32 31458.06 27352.87 30869.45 30727.99 30772.73 31159.59 22462.07 29545.98 319
LCM-MVSNet54.25 28749.68 29367.97 29053.73 32445.28 30566.85 30980.78 26035.96 31739.45 31662.23 3138.70 33078.06 29448.24 28051.20 31380.57 292
testmv53.85 28851.03 29062.31 29761.46 31938.88 31770.95 29374.69 29851.11 30541.26 31366.85 30814.28 32472.13 31329.19 31649.51 31475.93 306
FPMVS53.68 28951.64 28959.81 30165.08 31651.03 29269.48 29769.58 31241.46 31240.67 31472.32 30016.46 32370.00 31724.24 32165.42 28958.40 316
N_pmnet52.79 29053.26 28851.40 30978.99 2847.68 33369.52 2963.89 33351.63 30457.01 29874.98 29340.83 28265.96 32237.78 30464.67 29180.56 293
no-one51.08 29145.79 29666.95 29257.92 32250.49 29759.63 31776.04 28848.04 30731.85 31756.10 31819.12 31980.08 28636.89 30526.52 31970.29 310
new_pmnet50.91 29250.29 29152.78 30768.58 31434.94 32263.71 31256.63 32339.73 31444.95 31265.47 31021.93 31658.48 32434.98 30756.62 30664.92 313
ANet_high50.57 29346.10 29563.99 29448.67 32739.13 31570.99 29280.85 25961.39 25131.18 31957.70 31617.02 32273.65 31031.22 31515.89 32679.18 296
test1235649.28 29448.51 29451.59 30862.06 31819.11 33060.40 31572.45 30547.60 30940.64 31565.68 30913.84 32568.72 31827.29 31846.67 31666.94 312
.test124545.55 29550.02 29232.14 31569.10 31228.28 32468.90 30274.54 30054.01 29453.71 30574.51 29423.09 31467.90 32032.28 3110.02 3290.25 328
Gipumacopyleft45.18 29641.86 29755.16 30577.03 29351.52 28932.50 32580.52 26232.46 31927.12 32035.02 3229.52 32975.50 30322.31 32260.21 30238.45 321
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 29740.28 29855.82 30440.82 33042.54 31065.12 31163.99 32234.43 31824.48 32157.12 3173.92 33276.17 30117.10 32455.52 30848.75 317
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS240.82 29838.86 29946.69 31153.84 32316.45 33148.61 32149.92 32637.49 31631.67 31860.97 3148.14 33156.42 32528.42 31730.72 31867.19 311
wuykxyi23d39.76 29933.18 30259.51 30246.98 32844.01 30757.70 31867.74 31624.13 32313.98 32834.33 3231.27 33571.33 31434.23 30818.23 32263.18 315
PNet_i23d38.26 30035.42 30046.79 31058.74 32035.48 32059.65 31651.25 32532.45 32023.44 32447.53 3202.04 33458.96 32325.60 32018.09 32445.92 320
pcd1.5k->3k34.07 30135.26 30130.50 31686.92 1580.00 3360.00 32791.58 780.00 3310.00 3320.00 33356.23 1830.00 3340.00 33182.60 15191.49 102
E-PMN31.77 30230.64 30335.15 31352.87 32527.67 32657.09 31947.86 32724.64 32216.40 32633.05 32411.23 32754.90 32614.46 32618.15 32322.87 323
EMVS30.81 30329.65 30434.27 31450.96 32625.95 32856.58 32046.80 32824.01 32415.53 32730.68 32512.47 32654.43 32712.81 32717.05 32522.43 324
MVEpermissive26.22 2330.37 30425.89 30643.81 31244.55 32935.46 32128.87 32639.07 32918.20 32518.58 32540.18 3212.68 33347.37 32817.07 32523.78 32148.60 318
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
cdsmvs_eth3d_5k19.96 30526.61 3050.00 3220.00 3350.00 3360.00 32789.26 1510.00 3310.00 33288.61 12461.62 1350.00 3340.00 3310.00 3320.00 330
tmp_tt18.61 30621.40 30710.23 3194.82 33210.11 33234.70 32430.74 3311.48 32823.91 32326.07 32628.42 30613.41 33127.12 31915.35 3277.17 325
wuyk23d16.82 30715.94 30819.46 31858.74 32031.45 32339.22 3233.74 3346.84 3276.04 3292.70 3301.27 33524.29 33010.54 32814.40 3282.63 326
ab-mvs-re7.23 3089.64 3090.00 3220.00 3350.00 3360.00 3270.00 3370.00 3310.00 33286.72 1680.00 3390.00 3340.00 3310.00 3320.00 330
test1236.12 3098.11 3100.14 3200.06 3340.09 33471.05 2900.03 3360.04 3300.25 3311.30 3320.05 3370.03 3330.21 3300.01 3310.29 327
testmvs6.04 3108.02 3110.10 3210.08 3330.03 33569.74 2940.04 3350.05 3290.31 3301.68 3310.02 3380.04 3320.24 3290.02 3290.25 328
pcd_1.5k_mvsjas5.26 3117.02 3120.00 3220.00 3350.00 3360.00 3270.00 3370.00 3310.00 3320.00 33363.15 1000.00 3340.00 3310.00 3320.00 330
sosnet-low-res0.00 3120.00 3130.00 3220.00 3350.00 3360.00 3270.00 3370.00 3310.00 3320.00 3330.00 3390.00 3340.00 3310.00 3320.00 330
sosnet0.00 3120.00 3130.00 3220.00 3350.00 3360.00 3270.00 3370.00 3310.00 3320.00 3330.00 3390.00 3340.00 3310.00 3320.00 330
uncertanet0.00 3120.00 3130.00 3220.00 3350.00 3360.00 3270.00 3370.00 3310.00 3320.00 3330.00 3390.00 3340.00 3310.00 3320.00 330
Regformer0.00 3120.00 3130.00 3220.00 3350.00 3360.00 3270.00 3370.00 3310.00 3320.00 3330.00 3390.00 3340.00 3310.00 3320.00 330
uanet0.00 3120.00 3130.00 3220.00 3350.00 3360.00 3270.00 3370.00 3310.00 3320.00 3330.00 3390.00 3340.00 3310.00 3320.00 330
sam_mvs151.32 222
sam_mvs50.01 235
semantic-postprocess80.11 20382.69 24364.85 16183.47 23569.16 17470.49 21584.15 22350.83 23088.15 24469.23 15172.14 25887.34 227
ambc75.24 25673.16 30450.51 29663.05 31487.47 19864.28 27477.81 28417.80 32189.73 22057.88 24060.64 30085.49 255
MTGPAbinary92.02 56
test_post178.90 2595.43 32948.81 24585.44 26459.25 227
test_post5.46 32850.36 23484.24 269
patchmatchnet-post74.00 29651.12 22588.60 240
GG-mvs-BLEND75.38 25581.59 25555.80 27179.32 25369.63 31167.19 25573.67 29843.24 26888.90 23850.41 27084.50 13281.45 289
MTMP32.83 330
gm-plane-assit81.40 25753.83 28162.72 24180.94 26392.39 16663.40 192
test9_res84.90 1795.70 1292.87 67
TEST993.26 3372.96 1988.75 8391.89 6568.44 18885.00 2793.10 3974.36 1695.41 47
test_893.13 3572.57 2888.68 8691.84 6868.69 18484.87 3393.10 3974.43 1395.16 55
agg_prior282.91 3895.45 1492.70 68
agg_prior92.85 4171.94 3891.78 7184.41 3994.93 64
TestCases79.58 21185.15 17763.62 18979.83 27062.31 24460.32 28686.73 16632.02 30388.96 23550.28 27171.57 26286.15 248
test_prior472.60 2789.01 74
test_prior288.85 7875.41 7584.91 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 27287.04 1388.98 23374.07 108
新几何286.29 169
新几何183.42 11193.13 3570.71 5385.48 21857.43 27981.80 6991.98 5563.28 9592.27 17064.60 18792.99 4687.27 229
旧先验191.96 5465.79 13986.37 21093.08 4369.31 5192.74 4988.74 190
无先验87.48 12488.98 16360.00 26094.12 9267.28 16488.97 184
原ACMM286.86 148
原ACMM184.35 8493.01 3968.79 8492.44 4163.96 23081.09 7691.57 6566.06 7495.45 4467.19 16694.82 2988.81 187
test22291.50 5968.26 10084.16 21383.20 23854.63 29179.74 8491.63 6358.97 16491.42 5986.77 240
testdata291.01 20562.37 200
segment_acmp73.08 23
testdata79.97 20590.90 6664.21 18084.71 22459.27 26685.40 2292.91 4462.02 13289.08 23168.95 15391.37 6086.63 244
testdata184.14 21475.71 70
test1286.80 3792.63 4570.70 5491.79 7082.71 6171.67 3296.16 2894.50 3393.54 45
plane_prior790.08 7668.51 96
plane_prior689.84 8168.70 9260.42 157
plane_prior592.44 4195.38 4978.71 6286.32 11891.33 104
plane_prior491.00 78
plane_prior368.60 9478.44 2978.92 93
plane_prior291.25 2879.12 22
plane_prior189.90 80
plane_prior68.71 9090.38 4477.62 3386.16 120
n20.00 337
nn0.00 337
door-mid69.98 310
lessismore_v078.97 21781.01 26457.15 25365.99 31861.16 28382.82 23639.12 28891.34 19359.67 22246.92 31588.43 206
LGP-MVS_train84.50 7889.23 9968.76 8691.94 6375.37 7776.64 14291.51 6654.29 19894.91 6678.44 6483.78 13889.83 162
test1192.23 48
door69.44 313
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 5791.03 110
HQP3-MVS92.19 5185.99 122
HQP2-MVS60.17 160
NP-MVS89.62 8468.32 9890.24 89
MDTV_nov1_ep13_2view37.79 31875.16 27955.10 28966.53 26149.34 23953.98 25787.94 214
MDTV_nov1_ep1369.97 23783.18 22953.48 28277.10 27080.18 26960.45 25569.33 23480.44 26548.89 24486.90 25251.60 26678.51 188
ACMMP++_ref81.95 157
ACMMP++81.25 162
Test By Simon64.33 85
ITE_SJBPF78.22 22981.77 25360.57 22583.30 23769.25 17267.54 25187.20 15936.33 29887.28 25154.34 25674.62 23986.80 239
DeepMVS_CXcopyleft27.40 31740.17 33126.90 32724.59 33217.44 32623.95 32248.61 3199.77 32826.48 32918.06 32324.47 32028.83 322