PatchmatchNet | | | 492.52 1 | 551.22 1 | 316.40 2 | 400.20 3 | 357.90 2 | 1277.10 3 | 115.80 3 | 1034.60 4 | 315.90 2 | 874.00 2 | 155.10 6 | 402.20 3 | 629.50 2 | 158.80 2 | 189.10 2 |
|
ACMH+ | | 729.97 1 | 661.38 2 | 754.00 2 | 383.51 3 | 368.96 2 | 376.38 3 | 2483.74 6 | 82.42 2 | 1089.25 5 | 333.39 3 | 1219.68 6 | 66.53 2 | 573.60 5 | 957.86 6 | 184.14 3 | 200.56 3 |
|
Gipuma |  | | 689.75 3 | 767.00 3 | 458.00 4 | 613.00 9 | 549.00 6 | 1943.00 4 | 187.00 10 | 1230.00 6 | 518.00 6 | 1092.00 5 | 203.00 12 | 564.00 4 | 892.00 5 | 225.00 4 | 261.00 4 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
PVSNet | | 1207.94 4 | 829.56 4 | 937.18 4 | 506.69 6 | 645.55 10 | 585.72 7 | 2477.98 5 | 130.52 4 | 1578.29 7 | 509.50 5 | 1460.01 7 | 194.90 9 | 637.19 6 | 1170.78 9 | 267.07 7 | 297.17 6 |
|
PMVS |  | 863.65 2 | 957.08 5 | 1054.11 7 | 666.00 10 | 401.00 4 | 495.00 4 | 3790.00 9 | 279.00 13 | 1607.00 9 | 521.00 7 | 1745.00 9 | 90.00 3 | 1105.00 14 | 639.00 3 | 415.00 12 | 398.00 11 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
ACMH | | 993.80 3 | 967.92 6 | 1106.11 9 | 553.33 7 | 494.00 5 | 534.00 5 | 3581.00 8 | 136.00 5 | 1585.00 8 | 478.00 4 | 1871.00 10 | 90.00 3 | 839.00 7 | 1460.00 11 | 260.00 6 | 287.00 5 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
PVSNet_0 | | 1661.03 7 | 968.54 7 | 1066.82 8 | 673.70 11 | 706.94 12 | 695.69 9 | 2669.02 7 | 153.52 7 | 2108.17 13 | 605.54 9 | 1679.14 8 | 213.26 14 | 886.75 8 | 1236.76 10 | 229.01 5 | 438.67 12 |
|
TinyColmap | | | 1000.00 8 | 1000.00 5 | 1000.00 13 | 1000.00 14 | 1000.00 14 | 1000.00 1 | 1000.00 34 | 1000.00 2 | 1000.00 15 | 1000.00 3 | 1000.00 36 | 1000.00 11 | 1000.00 7 | 1000.00 26 | 1000.00 26 |
|
USDC | | | 1000.00 8 | 1000.00 5 | 1000.00 13 | 1000.00 14 | 1000.00 14 | 1000.00 1 | 1000.00 34 | 1000.00 2 | 1000.00 15 | 1000.00 3 | 1000.00 36 | 1000.00 11 | 1000.00 7 | 1000.00 26 | 1000.00 26 |
|
ACMP | | 1246.57 5 | 1086.24 10 | 1235.17 10 | 639.45 8 | 596.53 7 | 639.91 8 | 3904.24 10 | 152.04 6 | 1851.54 10 | 566.58 8 | 1997.95 11 | 138.50 5 | 938.30 9 | 1605.46 13 | 303.70 9 | 340.14 8 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
ACMM | | 1311.08 6 | 1165.06 11 | 1332.72 11 | 662.07 9 | 584.90 6 | 715.99 10 | 4373.59 12 | 153.99 8 | 1880.27 11 | 709.02 11 | 2316.97 12 | 188.63 8 | 939.89 10 | 1484.30 12 | 302.78 8 | 330.34 7 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
MG-MVS | | | 1256.50 12 | 1432.00 12 | 730.00 12 | 610.00 8 | 760.00 11 | 4720.00 13 | 169.00 9 | 1920.00 12 | 723.00 12 | 2510.00 15 | 201.00 11 | 1050.00 13 | 1645.00 14 | 390.00 11 | 380.00 9 |
|
FPMVS | | | 1407.00 13 | 1495.59 13 | 1141.23 16 | 648.01 11 | 893.85 13 | 4124.00 11 | 503.81 23 | 3219.04 17 | 742.72 13 | 2498.84 14 | 157.98 7 | 1727.83 18 | 832.93 4 | 732.98 17 | 802.00 16 |
|
DeepC-MVS_fast | | 2190.19 10 | 1535.59 14 | 1886.82 15 | 481.89 5 | 847.73 13 | 830.16 12 | 7943.84 21 | 189.23 11 | 2398.83 14 | 691.73 10 | 2341.13 13 | 209.16 13 | 230.25 2 | 1999.25 15 | 360.46 10 | 385.25 10 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
COLMAP_ROB |  | 2144.59 9 | 1658.33 15 | 1869.33 14 | 1025.33 15 | 1030.00 16 | 1023.00 16 | 5311.00 15 | 359.00 14 | 3044.00 16 | 937.00 14 | 2892.00 16 | 332.00 17 | 1440.00 15 | 2312.00 16 | 607.00 13 | 613.00 14 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
F-COLMAP | | | 1878.17 16 | 2113.11 16 | 1173.33 18 | 1231.00 17 | 1174.00 17 | 6297.00 16 | 392.00 16 | 3356.00 19 | 1087.00 17 | 3082.00 17 | 361.00 19 | 1670.00 17 | 2523.00 18 | 689.00 14 | 676.00 15 |
|
OpenMVS_ROB |  | 1936.51 8 | 1959.51 17 | 2224.88 18 | 1163.39 17 | 1253.91 18 | 1434.22 20 | 7065.71 17 | 272.76 12 | 2472.29 15 | 1647.54 27 | 3538.72 19 | 200.37 10 | 1496.48 16 | 2575.17 19 | 997.45 25 | 559.48 13 |
|
CMPMVS |  | 2623.62 13 | 1983.08 18 | 2156.14 17 | 1463.89 23 | 1414.80 20 | 1517.00 21 | 5239.20 14 | 867.40 31 | 3310.30 18 | 1128.70 19 | 3489.90 18 | 366.75 20 | 2030.20 23 | 2427.60 17 | 1160.60 29 | 844.46 20 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
PLC |  | 2858.82 14 | 2192.92 19 | 2474.00 19 | 1349.67 20 | 1407.00 19 | 1356.00 19 | 7164.00 18 | 475.00 21 | 3970.00 21 | 1237.00 22 | 3765.00 22 | 451.00 21 | 1891.00 20 | 3006.00 21 | 791.00 18 | 802.00 16 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
OpenMVS |  | 2352.88 11 | 2263.08 20 | 2530.89 20 | 1459.67 22 | 1767.00 24 | 1591.00 24 | 7932.00 20 | 399.00 17 | 3643.00 20 | 1176.00 20 | 3569.00 20 | 297.00 16 | 1927.00 22 | 3302.00 22 | 693.00 15 | 861.00 21 |
|
PCF-MVS | | 4335.85 18 | 2272.23 21 | 2597.03 21 | 1297.84 19 | 1701.20 21 | 1332.37 18 | 8105.11 22 | 451.45 18 | 4031.84 22 | 1099.10 18 | 3966.50 23 | 467.45 22 | 1734.05 19 | 2701.68 20 | 848.94 21 | 827.11 19 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
3Dnovator | | 2482.06 12 | 2531.17 22 | 2839.56 22 | 1606.00 24 | 1732.00 22 | 1557.00 23 | 8375.00 24 | 483.00 22 | 4370.00 23 | 1371.00 24 | 4200.00 24 | 350.00 18 | 2207.00 24 | 3877.00 26 | 798.00 19 | 1054.00 28 |
|
AdaColmap |  | | 2570.77 23 | 2948.61 23 | 1437.24 21 | 1873.64 25 | 1526.60 22 | 7819.77 19 | 373.97 15 | 4970.45 26 | 1479.29 25 | 4648.46 26 | 525.80 25 | 1904.97 21 | 4150.42 27 | 695.69 16 | 880.14 22 |
|
DeepPCF-MVS | | 3452.42 16 | 2670.71 24 | 3021.57 24 | 1618.12 25 | 2377.67 28 | 1751.39 26 | 8915.70 26 | 567.44 24 | 4569.74 24 | 1236.84 21 | 4615.63 25 | 513.23 24 | 2291.32 25 | 3515.48 23 | 882.39 23 | 811.66 18 |
|
LF4IMVS | | | 2699.50 25 | 3049.67 25 | 1649.00 26 | 1755.00 23 | 1689.00 25 | 8330.00 23 | 464.00 20 | 4997.00 27 | 1528.00 26 | 4763.00 27 | 568.00 26 | 2296.00 26 | 4215.00 28 | 827.00 20 | 962.00 24 |
|
3Dnovator+ | | 3414.41 15 | 3146.67 26 | 3537.00 26 | 1975.67 28 | 2310.00 27 | 2005.00 29 | 10100.00 27 | 626.00 26 | 5753.00 28 | 1803.00 29 | 5179.00 28 | 487.00 23 | 2622.00 28 | 4550.00 29 | 1025.00 28 | 1300.00 30 |
|
DeepC-MVS | | 3917.13 17 | 3155.06 27 | 3601.83 27 | 1814.72 27 | 2515.52 29 | 1941.53 27 | 10432.50 28 | 589.42 25 | 4789.45 25 | 1298.65 23 | 7677.31 33 | 578.35 27 | 2589.53 27 | 3611.78 25 | 923.52 24 | 913.10 23 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
TAPA-MVS | | 6309.84 19 | 3374.90 28 | 3806.99 28 | 2078.63 30 | 2535.47 30 | 2499.25 30 | 8816.16 25 | 456.05 19 | 6255.60 30 | 1664.52 28 | 6704.88 30 | 629.95 28 | 2768.38 29 | 6343.93 32 | 856.35 22 | 968.25 25 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
MAR-MVS | | | 3973.16 29 | 4387.92 29 | 2728.86 31 | 3345.27 31 | 3341.39 34 | 11403.90 29 | 798.76 29 | 6555.62 33 | 2569.29 31 | 6514.86 29 | 834.97 34 | 3237.43 31 | 5891.08 31 | 1577.54 32 | 1607.76 31 |
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 |
PHI-MVS | | | 4342.33 30 | 4863.11 30 | 2780.00 32 | 3743.00 32 | 3098.00 31 | 13388.00 30 | 897.00 32 | 6476.00 31 | 2782.00 32 | 7237.00 31 | 752.00 30 | 3591.00 32 | 6599.00 33 | 1894.00 34 | 1651.00 34 |
|
0108 | | | 4380.83 31 | 4906.56 31 | 2803.67 33 | 3844.00 33 | 3116.00 33 | 13454.00 31 | 901.00 33 | 6511.00 32 | 2794.00 33 | 7365.00 32 | 754.00 31 | 3634.00 33 | 6622.00 34 | 1914.00 35 | 1661.00 35 |
|
OMC-MVS | | | 5022.26 32 | 5748.82 32 | 2842.58 34 | 4905.27 35 | 3101.27 32 | 14933.60 32 | 812.24 30 | 9278.40 34 | 2959.29 34 | 8800.17 34 | 1092.24 38 | 3806.30 34 | 7568.54 36 | 1389.60 31 | 1620.18 33 |
|
CLD-MVS | | | 7338.25 33 | 8341.00 33 | 4330.00 35 | 4902.00 34 | 4991.00 35 | 23318.00 34 | 728.00 28 | 14437.00 37 | 4378.00 36 | 13379.00 35 | 824.00 33 | 5708.00 35 | 11429.00 38 | 1674.00 33 | 2291.00 36 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
LS3D | | | 7684.71 34 | 8776.23 34 | 4410.16 36 | 5298.55 36 | 5631.53 36 | 34329.90 36 | 1504.57 36 | 11554.00 36 | 3896.41 35 | 15111.00 36 | 812.19 32 | 5985.63 36 | 3516.20 24 | 2963.23 36 | 1613.31 32 |
|
MVE |  | 10021.00 20 | 10550.67 35 | 10002.44 35 | 12195.33 38 | 6242.00 37 | 8768.00 38 | 30896.00 35 | 4451.00 38 | 10331.00 35 | 6247.00 37 | 18296.00 37 | 283.00 15 | 21484.00 38 | 7364.00 35 | 5912.00 38 | 6334.00 38 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
CNLPA | | | 10738.67 36 | 11772.44 36 | 7637.33 37 | 9120.00 38 | 8206.00 37 | 22252.00 33 | 2010.00 37 | 24984.00 38 | 7458.00 38 | 22596.00 38 | 2940.00 39 | 10260.00 37 | 11100.00 37 | 3492.00 37 | 4446.00 37 |
|
LTVRE_ROB | | 20565.47 21 | 23378.08 37 | 22805.00 37 | 25097.33 39 | 15500.00 39 | 19201.00 39 | 42712.00 37 | 6055.00 39 | 38388.00 39 | 16926.00 39 | 38534.00 39 | 7071.00 40 | 35653.00 39 | 29475.00 39 | 10584.00 39 | 20438.00 40 |
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 |
MSDG | | | 32606.17 38 | 34443.44 38 | 27094.33 40 | 29249.00 40 | 25246.00 40 | 51144.00 38 | 6705.00 40 | 42886.00 40 | 22888.00 40 | 48534.00 40 | 13263.00 41 | 37507.00 40 | 79298.00 40 | 16024.00 40 | 18530.00 39 |
|
wuykxyi23d | | | 10000000.00 39 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 42 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 |
|
PAPM | | | 10000000.00 39 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 42 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 |
|
wuyk23d | | | 10000000.00 39 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 42 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 |
|
PNet_i23d | | | 10000000.00 39 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 42 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 |
|
TDRefinement | | | 10000000.00 39 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 42 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 |
|
ANet_high | | | 10000000.00 39 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 42 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 |
|
ACMMwithACMP | | | 10000000.00 39 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 39 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 42 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 | 10000000.00 41 |
|
DeepMVS_CX |  | | | | 1.00 1 | 1.00 1 | 1.00 1 | | 1.00 1 | 1.00 1 | 1.00 1 | 1.00 1 | 1.00 1 | 1.00 1 | 1.00 1 | 1.00 1 | 1.00 1 |
|
ITE_SJBPF | | | | | 2014.00 29 | 1998.00 26 | 1992.00 28 | | 701.00 27 | 5989.00 29 | 1812.00 30 | 3612.00 21 | 650.00 29 | 2852.00 30 | 4601.00 30 | 1195.00 30 | 1198.00 29 |
|
Test By Simon | | | | | | | | | | | | | 990.00 35 | | | | |
|