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
SteuartSystems-ACMMP79.48 179.31 179.98 183.01 1762.18 387.60 185.83 466.69 378.03 390.98 154.26 790.06 178.42 189.02 387.69 8
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS69.58 179.03 279.00 279.13 584.92 1260.32 1183.03 1585.33 662.86 980.17 190.03 561.76 188.95 674.21 488.67 488.12 3
NCCC78.58 378.31 379.39 487.51 162.61 285.20 684.42 1166.73 274.67 589.38 955.30 689.18 474.19 587.34 786.38 12
DeepC-MVS69.38 278.56 478.14 479.83 283.60 1661.62 584.17 986.85 163.23 773.84 690.25 457.68 489.96 274.62 389.03 287.89 5
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
APD-MVS78.02 578.04 577.98 1086.44 360.81 885.52 484.36 1260.61 2379.05 290.30 355.54 588.32 873.48 787.03 884.83 25
HPM-MVS77.28 676.85 678.54 785.00 960.81 882.91 1785.08 762.57 1073.09 989.97 650.90 1887.48 1275.30 286.85 987.33 11
DeepC-MVS_fast68.24 377.25 776.63 979.12 686.15 560.86 784.71 784.85 861.98 1573.06 1088.88 1153.72 989.06 568.27 1188.04 587.42 10
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CP-MVS77.12 876.68 878.43 886.05 663.18 187.55 283.45 1662.44 1172.68 1190.50 248.18 2887.34 1373.59 685.71 1384.76 26
CSCG76.92 976.75 777.41 1183.96 1559.60 1382.95 1686.50 260.78 2175.27 484.83 3660.76 286.56 2267.86 1287.87 686.06 13
ACMMPcopyleft76.02 1075.33 1178.07 985.20 861.91 485.49 584.44 1063.04 869.80 1689.74 845.43 3687.16 1472.01 882.87 2285.14 22
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
PHI-MVS75.87 1175.36 1077.41 1180.62 2955.91 3584.28 885.78 556.08 4473.41 786.58 2050.94 1788.54 770.79 989.71 187.79 7
3Dnovator+66.72 475.84 1274.57 1279.66 382.40 1959.92 1285.83 386.32 366.92 167.80 3289.24 1042.03 5089.38 364.07 2686.50 1089.69 1
DELS-MVS74.76 1374.46 1375.65 2077.84 5552.25 6375.59 6484.17 1363.76 673.15 882.79 5059.58 386.80 1967.24 1786.04 1287.89 5
HPM-MVS_fast74.30 1473.46 1576.80 1384.45 1459.04 1683.65 1281.05 3460.15 2770.43 1489.84 741.09 6085.59 3267.61 1582.90 2185.77 17
MVS_111021_HR74.02 1573.46 1575.69 1983.01 1760.63 1077.29 5378.40 4961.18 2070.58 1385.97 2554.18 884.00 4267.52 1682.98 2082.45 53
MG-MVS73.96 1673.89 1474.16 3585.65 749.69 7581.59 2881.29 3261.45 1671.05 1288.11 1251.77 1387.73 1161.05 3183.09 1885.05 24
CLD-MVS73.33 1772.68 1775.29 2478.82 4553.33 5178.23 4684.79 961.30 1970.41 1581.04 7052.41 1187.12 1564.61 2582.49 2385.41 21
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
EPNet73.09 1872.16 1875.90 1575.95 7556.28 3383.05 1472.39 8066.53 465.27 5287.00 1850.40 1985.47 3562.48 2986.32 1185.94 15
CPTT-MVS72.78 1972.08 1974.87 2784.88 1361.41 684.15 1077.86 5255.27 5067.51 3488.08 1441.93 5281.85 5769.04 1080.01 3181.35 62
LPG-MVS_test72.74 2071.74 2175.76 1780.22 3257.51 2482.55 2383.40 1761.32 1766.67 3987.33 1639.15 6786.59 2067.70 1377.30 4783.19 41
PAPM_NR72.63 2171.80 2075.13 2581.72 2353.42 5079.91 3883.28 2059.14 3066.31 4285.90 2651.86 1286.06 2657.45 3980.62 2585.91 16
3Dnovator64.47 572.49 2271.39 2375.79 1677.70 5758.99 1780.66 3483.15 2162.24 1265.46 4986.59 1942.38 4985.52 3359.59 3684.72 1482.85 49
ACMP63.53 672.30 2371.20 2675.59 2280.28 3157.54 2382.74 2082.84 2460.58 2465.24 5386.18 2339.25 6686.03 2866.95 1976.79 5183.22 39
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Vis-MVSNetpermissive72.18 2471.37 2474.61 3181.29 2455.41 3880.90 3278.28 5060.73 2269.23 2188.09 1344.36 4282.65 5357.68 3881.75 2485.77 17
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
API-MVS72.17 2571.41 2274.45 3381.95 2157.22 2684.03 1180.38 3559.89 2868.40 2482.33 5749.64 2087.83 1051.87 4684.16 1678.30 86
EPP-MVSNet72.16 2671.31 2574.71 2878.68 4949.70 7382.10 2781.65 2860.40 2665.94 4585.84 2751.74 1486.37 2455.93 4079.55 3488.07 4
DP-MVS Recon72.15 2770.73 2976.40 1486.57 257.99 2181.15 3182.96 2257.03 3766.78 3885.56 3044.50 4088.11 951.77 4880.23 3083.10 44
PAPR71.72 2870.82 2874.41 3481.20 2551.17 6879.55 4283.33 1955.81 4666.93 3784.61 3950.95 1686.06 2655.79 4379.20 3886.00 14
IS-MVSNet71.57 2971.00 2773.27 4478.86 4445.63 9680.22 3678.69 4464.14 566.46 4187.36 1549.30 2285.60 3150.26 5483.71 1788.59 2
MAR-MVS71.51 3070.15 3375.60 2181.84 2259.39 1481.38 2982.90 2354.90 5568.08 2678.70 8547.73 2985.51 3451.68 5084.17 1581.88 58
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
MVSFormer71.50 3170.38 3274.88 2678.76 4657.15 2882.79 1878.48 4551.26 7769.49 1883.22 4843.99 4483.24 4666.06 2079.37 3584.23 28
PVSNet_Blended_VisFu71.45 3270.39 3174.65 2982.01 2058.82 1879.93 3780.35 3655.09 5265.82 4882.16 6149.17 2482.64 5460.34 3378.62 4382.50 52
OMC-MVS71.40 3370.60 3073.78 3876.60 7053.15 5379.74 4179.78 3858.37 3268.75 2386.45 2145.43 3680.60 6862.58 2777.73 4587.58 9
PCF-MVS61.88 870.95 3469.49 3675.35 2377.63 5955.71 3676.04 6281.81 2650.30 8169.66 1785.40 3352.51 1084.89 3751.82 4780.24 2985.45 20
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
114514_t70.83 3569.56 3574.64 3086.21 454.63 4282.34 2481.81 2648.22 9163.01 6885.83 2840.92 6187.10 1657.91 3779.79 3282.18 55
ACMM61.98 770.80 3669.73 3474.02 3680.59 3058.59 1982.68 2182.02 2555.46 4967.18 3584.39 4138.51 7383.17 4860.65 3276.10 5580.30 71
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
QAPM70.05 3768.81 3773.78 3876.54 7253.43 4983.23 1383.48 1552.89 6765.90 4686.29 2241.55 5886.49 2351.01 5178.40 4481.42 61
AdaColmapbinary69.99 3868.66 3973.97 3784.94 1057.83 2282.63 2278.71 4356.28 4364.34 6284.14 4341.57 5787.06 1746.45 7278.88 4077.02 94
jason69.65 3968.39 4173.43 4278.27 5256.88 3077.12 5473.71 7546.53 10369.34 2083.22 4843.37 4779.18 8064.77 2379.20 3884.23 28
jason: jason.
lupinMVS69.57 4068.28 4273.44 4178.76 4657.15 2876.57 5773.29 7746.19 10569.49 1882.18 5943.99 4479.23 7964.66 2479.37 3583.93 31
MVS_111021_LR69.50 4168.78 3871.65 5378.38 5059.33 1574.82 6970.11 8858.08 3467.83 3184.68 3741.96 5176.34 9165.62 2277.54 4679.30 82
test_djsdf69.45 4267.74 4374.58 3274.57 8254.92 4082.79 1878.48 4551.26 7765.41 5083.49 4738.37 7583.24 4666.06 2069.25 8885.56 19
IterMVS-LS69.22 4368.48 4071.43 5574.44 8349.40 7776.23 5977.55 5659.60 2965.85 4781.59 6651.28 1581.58 5959.87 3569.90 8583.30 38
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OpenMVScopyleft61.03 968.85 4467.56 4672.70 4974.26 8653.99 4581.21 3081.34 3152.70 6862.75 7085.55 3138.86 7084.14 4048.41 6483.01 1979.97 75
BH-RMVSNet68.81 4567.42 4872.97 4680.11 3452.53 5974.26 7276.29 6458.48 3168.38 2584.20 4242.59 4883.83 4346.53 7175.91 5682.56 50
XVG-OURS-SEG-HR68.81 4567.47 4772.82 4874.40 8456.87 3170.59 9079.04 4054.77 5666.99 3686.01 2439.57 6578.21 8362.54 2873.33 6683.37 37
UGNet68.81 4567.39 4973.06 4578.33 5154.47 4379.77 4075.40 6860.45 2563.22 6684.40 4032.71 9880.91 6651.71 4980.56 2783.81 35
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
XVG-OURS68.76 4867.37 5072.90 4774.32 8557.22 2670.09 9578.81 4255.24 5167.79 3385.81 2936.54 8678.28 8262.04 3075.74 5783.19 41
PVSNet_Blended68.59 4967.72 4471.19 5977.03 6650.57 7172.51 7981.52 2951.91 7364.22 6477.77 9149.13 2582.87 5155.82 4179.58 3380.14 74
PVSNet_BlendedMVS68.56 5067.72 4471.07 6277.03 6650.57 7174.50 7181.52 2953.66 6364.22 6479.72 8149.13 2582.87 5155.82 4173.92 6179.77 79
BH-untuned68.27 5167.29 5171.21 5879.74 3653.22 5276.06 6177.46 5957.19 3666.10 4381.61 6445.37 3883.50 4545.42 8176.68 5376.91 97
PAPM67.92 5266.69 5271.63 5478.09 5349.02 7877.09 5581.24 3351.04 7960.91 7683.98 4447.71 3084.99 3640.81 10079.32 3780.90 65
GBi-Net67.21 5366.55 5369.19 7877.63 5943.33 10377.31 5077.83 5356.62 3865.04 5682.70 5141.85 5380.33 6947.18 6772.76 6783.92 32
test167.21 5366.55 5369.19 7877.63 5943.33 10377.31 5077.83 5356.62 3865.04 5682.70 5141.85 5380.33 6947.18 6772.76 6783.92 32
MVSTER67.16 5565.58 6071.88 5170.37 10949.70 7370.25 9478.45 4751.52 7469.16 2280.37 7638.45 7482.50 5560.19 3471.46 7883.44 36
FMVSNet266.93 5666.31 5668.79 8277.63 5942.98 10676.11 6077.47 5756.62 3865.22 5582.17 6041.85 5380.18 7247.05 7072.72 7083.20 40
BH-w/o66.85 5765.83 5869.90 7379.29 3852.46 6174.66 7076.65 6254.51 5964.85 5978.12 8645.59 3482.95 5043.26 8875.54 5874.27 110
CDS-MVSNet66.80 5865.37 6171.10 6178.98 4353.13 5473.27 7671.07 8352.15 7164.72 6080.23 7943.56 4677.10 8945.48 8078.88 4083.05 45
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS66.78 5965.27 6271.33 5779.16 4153.67 4673.84 7469.59 9352.32 7065.28 5181.72 6344.49 4177.40 8842.32 9378.66 4282.92 46
FMVSNet166.70 6065.87 5769.19 7877.49 6343.33 10377.31 5077.83 5356.45 4164.60 6182.70 5138.08 7980.33 6946.08 7672.31 7383.92 32
ab-mvs66.65 6166.42 5567.37 9076.17 7441.73 11170.41 9276.14 6653.99 6165.98 4483.51 4649.48 2176.24 9248.60 6273.46 6484.14 30
TAPA-MVS59.36 1066.60 6265.20 6370.81 6376.63 6948.75 7976.52 5880.04 3750.64 8065.24 5384.93 3539.15 6778.54 8136.77 11576.88 5085.14 22
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TR-MVS66.59 6365.07 6471.17 6079.18 4049.63 7673.48 7575.20 6952.95 6667.90 2780.33 7839.81 6483.68 4443.20 8973.56 6380.20 72
FMVSNet366.32 6465.61 5968.46 8676.48 7342.34 10974.98 6877.15 6155.83 4565.04 5681.16 6839.91 6380.14 7347.18 6772.76 6782.90 48
ACMH+57.40 1166.12 6564.06 6572.30 5077.79 5652.83 5580.39 3578.03 5157.30 3557.47 9882.55 5427.68 11484.17 3945.54 7869.78 8679.90 76
cascas65.98 6663.42 7173.64 4077.26 6452.58 5872.26 8077.21 6048.56 8861.21 7574.60 11132.57 10085.82 3050.38 5376.75 5282.52 51
DP-MVS65.68 6763.66 6971.75 5284.93 1156.87 3180.74 3373.16 7853.06 6559.09 8682.35 5636.79 8585.94 2932.82 12469.96 8472.45 118
CNLPA65.43 6864.02 6669.68 7478.73 4858.07 2077.82 4970.71 8551.49 7561.57 7383.58 4538.23 7870.82 10243.90 8570.10 8280.16 73
IB-MVS56.42 1265.40 6962.73 7573.40 4374.89 7852.78 5673.09 7775.13 7055.69 4858.48 9573.73 11232.86 9786.32 2550.63 5270.11 8181.10 64
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
ACMH55.70 1565.20 7063.57 7070.07 7078.07 5452.01 6779.48 4379.69 3955.75 4756.59 10280.98 7127.12 11780.94 6542.90 9171.58 7777.25 93
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PLCcopyleft56.13 1465.09 7163.21 7370.72 6581.04 2654.87 4178.57 4477.47 5748.51 8955.71 10581.89 6233.71 9379.71 7441.66 9870.37 8077.58 90
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
LS3D64.71 7262.50 7771.34 5679.72 3755.71 3679.82 3974.72 7248.50 9056.62 10184.62 3833.59 9482.34 5629.65 13075.23 5975.97 99
EG-PatchMatch MVS64.71 7262.87 7470.22 6877.68 5853.48 4877.99 4878.82 4153.37 6456.03 10477.41 9324.75 12784.04 4146.37 7373.42 6573.14 114
HY-MVS56.14 1364.55 7463.89 6766.55 9374.73 8041.02 11269.96 9674.43 7349.29 8561.66 7280.92 7247.43 3176.68 9044.91 8371.69 7681.94 56
XVG-ACMP-BASELINE64.36 7562.23 7970.74 6472.35 9552.45 6270.80 8978.45 4753.84 6259.87 8081.10 6916.24 13479.32 7855.64 4471.76 7580.47 68
CostFormer64.04 7662.51 7668.61 8571.88 10345.77 9571.30 8270.60 8647.55 9664.31 6376.61 9641.63 5679.62 7649.74 5669.00 8980.42 69
1112_ss64.00 7763.36 7265.93 9779.28 3942.58 10871.35 8172.36 8146.41 10460.55 7777.89 8846.27 3373.28 9746.18 7469.97 8381.92 57
PT_06_test63.95 7862.37 7868.68 8372.07 9947.49 8671.03 8675.07 7154.94 5461.32 7470.62 12040.56 6277.68 8549.29 5766.43 10080.87 66
Vis-MVSNet (Re-imp)63.69 7963.88 6863.14 10374.75 7931.04 13871.16 8463.64 11256.32 4259.80 8284.99 3444.51 3975.46 9339.12 10680.62 2582.92 46
test_040263.25 8061.01 8569.96 7180.00 3554.37 4476.86 5672.02 8254.58 5858.71 8980.79 7535.00 9084.36 3826.41 13464.71 10771.15 122
LTVRE_ROB55.42 1663.15 8161.23 8468.92 8176.57 7147.80 8459.92 12276.39 6354.35 6058.67 9082.46 5529.44 10881.49 6042.12 9471.14 7977.46 91
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
F-COLMAP63.05 8260.87 8669.58 7676.99 6853.63 4778.12 4776.16 6547.97 9452.41 11981.61 6427.87 11278.11 8440.07 10366.66 9977.00 95
IterMVS62.79 8361.27 8367.35 9169.37 11352.04 6671.17 8368.24 9952.63 6959.82 8176.91 9537.32 8272.36 9952.80 4563.19 11277.66 89
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
tpmp4_e2362.71 8460.13 9070.45 6773.40 8948.39 8072.82 7869.49 9544.88 11059.91 7974.99 10737.79 8081.47 6140.22 10267.71 9681.48 60
Test_1112_low_res62.32 8561.77 8164.00 10079.08 4239.53 11668.17 10070.17 8743.25 11959.03 8779.90 8044.08 4371.24 10143.79 8668.42 9181.25 63
Test462.22 8660.35 8967.83 8871.98 10146.09 9369.76 9769.71 8950.09 8258.51 9375.72 10330.21 10477.63 8649.28 5867.91 9379.78 77
PatchFormer-LS_test62.20 8760.59 8767.04 9272.18 9846.82 9170.36 9368.62 9751.92 7259.19 8570.23 12336.86 8475.07 9450.23 5565.68 10479.23 83
tpm262.07 8860.10 9167.99 8772.79 9243.86 10271.05 8566.85 10143.14 12162.77 6975.39 10538.32 7680.80 6741.69 9768.88 9079.32 81
PatchFormer_test61.90 8959.93 9267.83 8871.98 10146.09 9371.03 8669.71 8950.09 8258.51 9370.62 12030.21 10477.63 8649.28 5867.91 9379.78 77
EPNet_dtu61.90 8961.97 8061.68 10672.89 9139.78 11575.85 6365.62 10555.09 5254.56 11179.36 8237.59 8167.02 11039.80 10576.95 4978.25 87
MSDG61.81 9159.23 9369.55 7772.64 9452.63 5770.45 9175.81 6751.38 7653.70 11476.11 9829.52 10681.08 6437.70 11165.79 10374.93 107
SixPastTwentyTwo61.65 9258.80 9570.20 6975.80 7647.22 8875.59 6469.68 9254.61 5754.11 11379.26 8327.07 11882.96 4943.27 8749.79 13380.41 70
OurMVSNet-221017-061.37 9358.63 9769.61 7572.05 10048.06 8273.93 7372.51 7947.23 9954.74 11080.92 7221.49 13181.24 6348.57 6356.22 12479.53 80
COLMAP_ROBcopyleft52.97 1761.27 9458.81 9468.64 8474.63 8152.51 6078.42 4573.30 7649.92 8450.96 12181.51 6723.06 12979.40 7731.63 12865.85 10274.01 113
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
XXY-MVS60.68 9561.67 8257.70 11870.43 10838.45 11864.19 11266.47 10248.05 9363.22 6680.86 7449.28 2360.47 12545.25 8267.28 9874.19 111
K. test v360.47 9657.11 10470.56 6673.74 8848.22 8175.10 6762.55 11758.27 3353.62 11576.31 9727.81 11381.59 5847.42 6539.18 14181.88 58
OpenMVS_ROBcopyleft52.78 1860.03 9758.14 10065.69 9870.47 10744.82 9775.33 6670.86 8445.04 10956.06 10376.00 9926.89 12079.65 7535.36 12067.29 9772.60 116
CR-MVSNet59.91 9857.90 10165.96 9569.96 11152.07 6465.31 10663.15 11442.48 12359.36 8374.84 10835.83 8770.75 10345.50 7964.65 10875.06 105
PatchmatchNetpermissive59.84 9958.24 9864.65 9973.05 9046.70 9269.42 9962.18 11947.55 9658.88 8871.96 11634.49 9169.16 10742.99 9063.60 11178.07 88
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
WTY-MVS59.75 10060.39 8857.85 11672.32 9637.83 12161.05 12164.18 11145.95 10761.91 7179.11 8447.01 3260.88 12442.50 9269.49 8774.83 108
tpm cat159.25 10156.95 10766.15 9472.19 9746.96 8968.09 10165.76 10440.03 12857.81 9770.56 12238.32 7674.51 9638.26 10961.50 11977.00 95
RPMNet58.70 10256.29 11065.96 9569.96 11152.07 6465.31 10662.15 12043.20 12059.36 8370.15 12535.37 8970.75 10336.42 11764.65 10875.06 105
PVSNet50.76 1958.40 10357.39 10261.42 10875.53 7744.04 10161.43 11863.45 11347.04 10156.91 9973.61 11327.00 11964.76 11439.12 10672.40 7175.47 103
tpmrst58.24 10458.70 9656.84 12066.97 12034.32 12969.57 9861.14 12247.17 10058.58 9271.60 11741.28 5960.41 12649.20 6062.84 11375.78 100
CMPMVSbinary42.80 2157.81 10555.97 11163.32 10160.98 13347.38 8764.66 11069.50 9432.06 13646.83 12977.80 9029.50 10771.36 10048.68 6173.75 6271.21 121
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
HyFIR57.80 10657.13 10359.83 11269.06 11547.96 8356.10 12966.29 10338.73 13052.74 11868.69 12738.61 7267.74 10947.24 6676.68 5363.80 130
MIMVSNet57.35 10757.07 10558.22 11574.21 8737.18 12262.46 11560.88 12348.88 8755.29 10975.99 10131.68 10162.04 12231.87 12772.35 7275.43 104
tpm57.34 10858.16 9954.86 12571.80 10434.77 12767.47 10256.04 12848.20 9260.10 7876.92 9437.17 8353.41 13840.76 10165.01 10676.40 98
Patchmtry57.16 10956.47 10959.23 11369.17 11434.58 12862.98 11463.15 11444.53 11356.83 10074.84 10835.83 8768.71 10840.03 10460.91 12074.39 109
USDC56.35 11054.24 11562.69 10464.74 12640.31 11465.05 10873.83 7443.93 11847.58 12777.71 9215.36 13575.05 9538.19 11061.81 11772.70 115
PatchMatch-RL56.25 11154.55 11361.32 11077.06 6556.07 3465.57 10554.10 13344.13 11753.49 11771.27 11925.20 12566.78 11136.52 11663.66 11061.12 131
sss56.17 11256.57 10854.96 12466.93 12136.32 12457.94 12661.69 12141.67 12558.64 9175.32 10638.72 7156.25 13642.04 9566.19 10172.31 119
FMVSNet555.86 11354.93 11258.66 11471.05 10636.35 12364.18 11362.48 11846.76 10250.66 12274.73 11025.80 12364.04 11633.11 12365.57 10575.59 102
RPSCF55.80 11454.22 11660.53 11165.13 12542.91 10764.30 11157.62 12636.84 13258.05 9682.28 5828.01 11156.24 13737.14 11358.61 12282.44 54
MIMVSNet155.17 11554.31 11457.77 11770.03 11032.01 13665.68 10464.81 10749.19 8646.75 13076.00 9925.53 12464.04 11628.65 13162.13 11677.26 92
TinyColmap54.14 11651.72 12161.40 10966.84 12241.97 11066.52 10368.51 9844.81 11142.69 13575.77 10211.66 13972.94 9831.96 12656.77 12369.27 124
EPMVS53.96 11753.69 11754.79 12666.12 12431.96 13762.34 11749.05 13644.42 11555.54 10671.33 11830.22 10356.70 13341.65 9962.54 11475.71 101
PMMVS53.96 11753.26 11956.04 12162.60 13150.92 6961.17 12056.09 12732.81 13553.51 11666.84 13034.04 9259.93 12844.14 8468.18 9257.27 135
TDRefinement53.44 11950.72 12361.60 10764.31 12846.96 8970.89 8865.27 10641.78 12444.61 13277.98 8711.52 14066.36 11228.57 13251.59 13071.49 120
PatchT53.17 12053.44 11852.33 13168.29 11825.34 14458.21 12554.41 13144.46 11454.56 11169.05 12633.32 9560.94 12336.93 11461.76 11870.73 123
UnsupCasMVSNet_eth53.16 12152.47 12055.23 12259.45 13633.39 13259.43 12369.13 9645.98 10650.35 12472.32 11529.30 10958.26 13242.02 9644.30 13874.05 112
dp51.89 12251.60 12252.77 13068.44 11732.45 13462.36 11654.57 13044.16 11649.31 12567.91 12828.87 11056.61 13433.89 12254.89 12669.24 125
JIA-IIPM51.56 12347.68 12563.21 10264.61 12750.73 7047.71 13658.77 12542.90 12248.46 12651.72 14024.97 12670.24 10636.06 11953.89 12768.64 126
UnsupCasMVSNet_bld50.07 12448.87 12453.66 12760.97 13433.67 13157.62 12764.56 10939.47 12947.38 12864.02 13327.47 11559.32 12934.69 12143.68 13967.98 127
LP48.51 12545.51 12757.52 11962.86 13044.53 10052.38 13359.84 12438.11 13142.81 13461.02 13423.23 12863.02 11824.10 13845.24 13765.02 129
PVSNet_043.31 2047.46 12645.64 12652.92 12967.60 11944.65 9854.06 13254.64 12941.59 12646.15 13158.75 13630.99 10258.66 13132.18 12524.81 14455.46 136
MVS-HIRNet45.52 12744.48 12948.65 13268.49 11634.05 13059.41 12444.50 14227.03 13937.96 13950.47 14226.16 12264.10 11526.74 13359.52 12147.82 137
testpf44.11 12845.40 12840.26 14060.52 13527.34 13933.26 14354.33 13245.87 10841.08 13660.26 13516.46 13359.14 13046.09 7550.68 13234.31 144
LF4IMVS42.95 12942.26 13045.04 13448.30 14232.50 13354.80 13048.49 13828.03 13840.51 13770.16 1249.24 14443.89 14231.63 12849.18 13458.72 133
FPMVS42.18 13041.11 13145.39 13358.03 13741.01 11349.50 13453.81 13430.07 13733.71 14064.03 13211.69 13852.08 13914.01 14555.11 12543.09 140
ANet_high41.38 13137.47 13453.11 12839.73 14524.45 14556.94 12869.69 9147.65 9526.04 14352.32 13812.44 13662.38 12121.80 14110.61 14972.49 117
no-one40.85 13236.09 13555.14 12348.55 14138.72 11742.15 14162.92 11634.60 13423.55 14449.74 14312.21 13766.16 11326.27 13524.84 14360.54 132
N_pmnet39.35 13340.28 13236.54 14163.76 1291.62 14949.37 1350.76 15034.62 13343.61 13366.38 13126.25 12142.57 14426.02 13651.77 12965.44 128
DSMNet-mixed39.30 13438.72 13341.03 13851.22 13919.66 14645.53 13831.35 14615.83 14539.80 13867.42 12922.19 13045.13 14122.43 13952.69 12858.31 134
HyFIR lowres test36.24 13534.78 13640.64 13950.09 14035.94 12643.63 14033.13 14420.35 14430.75 14251.75 13910.74 14151.24 14025.80 13746.76 13634.75 143
PMVScopyleft28.69 2236.22 13633.29 13845.02 13536.82 14635.98 12554.68 13148.74 13726.31 14021.02 14551.61 1412.88 14760.10 1279.99 14747.58 13538.99 142
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Gipumacopyleft34.77 13731.91 13943.33 13762.05 13237.87 12020.39 14567.03 10023.23 14118.41 14625.84 1474.24 14562.73 11914.71 14451.32 13129.38 146
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new_pmnet34.13 13834.29 13733.64 14252.63 13818.23 14744.43 13933.90 14322.81 14230.89 14153.18 13710.48 14235.72 14520.77 14239.51 14046.98 138
wuykxyi23d28.12 13922.54 14144.87 13634.97 14732.11 13537.96 14247.31 14013.32 1469.29 15023.72 1480.45 15056.58 13521.85 14013.98 14645.93 139
PNet_i23d27.88 14025.99 14033.55 14347.54 14325.89 14147.24 13732.91 14521.44 14315.90 14738.09 1440.85 14942.76 14316.90 14313.03 14732.00 145
MVEpermissive17.77 2321.41 14117.77 14232.34 14434.34 14825.44 14316.11 14624.11 14711.19 14713.22 14831.92 1451.58 14830.95 14610.47 14617.03 14540.62 141
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuyk23d13.32 14212.52 14315.71 14547.54 14326.27 14031.06 1441.98 1494.93 1495.18 1511.94 1490.45 15018.54 1476.81 14912.83 1482.33 148
ab-mvs-re6.49 1438.65 1440.00 1470.00 1500.00 1500.00 1470.00 1510.00 1500.00 15277.89 880.00 1520.00 1490.00 1500.00 1510.00 149
DeepMVS_CXcopyleft12.03 14617.97 14910.91 14810.60 1487.46 14811.07 14928.36 1463.28 14611.29 1488.01 1489.74 15013.89 147
HQP4-MVS67.85 2886.93 1884.32 27
lessismore_v069.91 7271.42 10547.80 8450.90 13550.39 12375.56 10427.43 11681.33 6245.91 7734.10 14280.59 67
LGP-MVS_train75.76 1780.22 3257.51 2483.40 1761.32 1766.67 3987.33 1639.15 6786.59 2067.70 1377.30 4783.19 41
door47.60 139
HQP5-MVS54.94 39
HQP-NCC80.66 2782.31 2562.10 1367.85 28
ACMP_Plane80.66 2782.31 2562.10 1367.85 28
BP-MVS67.04 18
HQP3-MVS83.90 1480.35 28
ITE_SJBPF62.09 10566.16 12344.55 9964.32 11047.36 9855.31 10880.34 7719.27 13262.68 12036.29 11862.39 11579.04 84
HQP2-MVS45.46 35
NP-MVS85.54 32
MDTV_nov1_ep13_2view25.89 14161.22 11940.10 12751.10 12032.97 9638.49 10878.61 85
MDTV_nov1_ep1357.00 10672.73 9338.26 11965.02 10964.73 10844.74 11255.46 10772.48 11432.61 9970.47 10537.47 11267.75 95
ACMMP++_ref74.07 60
ACMMP++72.16 74
HQP-MVS10.18 143
Test By Simon48.33 27
door-mid47.19 141