A1Net | | | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 |
|
ANet-0.75 | | | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 |
|
ANet | | | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 | 0.21 1 |
|
firsttry | | | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 |
|
RMVSNet | | | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 | 1.03 4 |
|
BP-MVSNet | | | 1.30 6 | 1.30 6 | 1.30 6 | 1.30 6 | 1.30 6 | 1.30 6 | 1.30 6 | 1.30 6 |
Christian Sormann, Patrick Knöbelreiter, Andreas Kuhn, Mattia Rossi, Thomas Pock, Friedrich Fraundorfer: BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo. 3DV 2020 |
Pnet-blend++ | | | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 |
|
Pnet_fast | | | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 |
|
Pnet-eth | | | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 |
|
Pnet-blend | | | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 |
|
Pnet-new- | | | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 | 9.00 7 |
|
MVSNet_plusplus | | | 10.85 12 | 9.79 12 | 11.56 12 | 10.23 12 | 14.23 12 | 9.34 12 | 10.23 12 | 10.23 12 |
|
MVSNet_++ | | | 10.85 12 | 9.79 12 | 11.56 12 | 10.23 12 | 14.23 12 | 9.34 12 | 10.23 12 | 10.23 12 |
|
confMetMVS | | | 86.40 14 | 95.00 14 | 80.67 14 | 67.00 14 | 112.00 14 | 93.00 14 | 97.00 14 | 63.00 14 |
|
metmvs_fine | | | 86.40 14 | 95.00 14 | 80.67 14 | 67.00 14 | 112.00 14 | 93.00 14 | 97.00 14 | 63.00 14 |
|
unMVSmet | | | 86.40 14 | 95.00 14 | 80.67 14 | 67.00 14 | 112.00 14 | 93.00 14 | 97.00 14 | 63.00 14 |
|
Cas-MVS_preliminary | | | 283.71 17 | 277.25 17 | 288.02 17 | 287.28 17 | 287.14 17 | 275.09 17 | 279.41 17 | 289.65 17 |
|
FADENet | | | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 |
|
CPR_FA | | | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 | 300.30 18 |
|
unMVSv1 | | | 438.86 20 | 369.40 20 | 485.16 20 | 432.90 20 | 452.10 20 | 398.70 20 | 340.10 20 | 570.50 21 |
|
MVSNet + Gipuma | | | 622.80 21 | 505.00 25 | 701.33 21 | 642.00 22 | 671.00 21 | 502.00 25 | 508.00 23 | 791.00 22 |
|
F/T MVSNet+Gipuma | | | 622.80 21 | 505.00 25 | 701.33 21 | 642.00 22 | 671.00 21 | 502.00 25 | 508.00 23 | 791.00 22 |
|
P-MVSNet | | | 626.74 23 | 503.44 24 | 708.94 23 | 634.45 21 | 681.77 23 | 490.58 24 | 516.29 28 | 810.60 24 |
|
PMVS |  | 863.65 2 | 639.40 24 | 530.00 28 | 712.33 24 | 798.00 29 | 888.00 29 | 701.00 30 | 359.00 21 | 451.00 20 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
DPSNet | | | 660.88 25 | 500.81 21 | 767.59 25 | 683.99 24 | 726.46 24 | 489.58 21 | 512.04 25 | 892.32 26 |
|
example | | | 660.88 25 | 500.81 21 | 767.59 25 | 683.99 24 | 726.46 24 | 489.58 21 | 512.04 25 | 892.32 26 |
|
hgnet | | | 660.88 25 | 500.81 21 | 767.59 25 | 683.99 24 | 726.46 24 | 489.58 21 | 512.04 25 | 892.32 26 |
|
CIDER | | | 669.75 28 | 505.36 27 | 779.35 28 | 703.58 27 | 808.57 27 | 513.92 27 | 496.79 22 | 825.90 25 |
Qingshan Xu and Wenbing Tao: Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume. AAAI 2020 |
MVSNet | | | 769.20 29 | 609.10 29 | 875.93 29 | 786.50 28 | 836.20 28 | 593.70 28 | 624.50 29 | 1005.10 29 |
|
ACMH+ | | 729.97 1 | 894.58 30 | 641.24 30 | 1063.48 30 | 901.73 30 | 959.70 30 | 639.95 29 | 642.52 30 | 1329.02 30 |
|
ACMH | | 993.80 3 | 1055.91 31 | 719.19 31 | 1280.39 31 | 1101.67 31 | 1267.33 31 | 717.78 31 | 720.60 31 | 1472.17 31 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
TAPA-MVS(SR) | | | 1338.82 32 | 969.96 32 | 1584.73 32 | 1327.62 32 | 1473.80 32 | 922.00 32 | 1017.91 32 | 1952.77 32 |
|
ACMP | | 1246.57 5 | 1631.36 33 | 1293.07 34 | 1856.88 34 | 1568.97 34 | 1868.85 34 | 1273.91 34 | 1312.23 34 | 2132.82 34 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
ACMM | | 1311.08 6 | 1661.53 34 | 1487.23 35 | 1777.73 33 | 1530.09 33 | 1690.76 33 | 1475.05 35 | 1499.41 35 | 2112.35 33 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
OpenMVS_ROB |  | 1936.51 8 | 1881.32 35 | 1172.27 33 | 2354.03 35 | 2118.19 35 | 2241.51 36 | 1205.90 33 | 1138.64 33 | 2702.38 35 |
|
PVSNet | | 1207.94 4 | 2116.05 36 | 1643.70 37 | 2430.96 36 | 2140.83 36 | 2235.92 35 | 1648.06 37 | 1639.33 37 | 2916.13 36 |
|
3Dnovator | | 2482.06 12 | 2364.20 37 | 1597.00 36 | 2875.67 38 | 2548.00 38 | 2712.00 38 | 1635.00 36 | 1559.00 36 | 3367.00 38 |
|
R-MVSNet | | | 2412.80 38 | 1890.00 39 | 2761.33 37 | 2391.00 37 | 2612.00 37 | 1879.00 39 | 1901.00 39 | 3281.00 37 |
|
OpenMVS |  | 2352.88 11 | 2568.40 39 | 1727.00 38 | 3129.33 39 | 2833.00 39 | 3048.00 39 | 1755.00 38 | 1699.00 38 | 3507.00 39 |
|
COLMAP_ROB |  | 2144.59 9 | 3311.60 40 | 2554.50 40 | 3816.33 41 | 3382.00 40 | 3555.00 41 | 2484.00 40 | 2625.00 40 | 4512.00 41 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
PVSNet_0 | | 1661.03 7 | 3323.02 41 | 2633.37 41 | 3782.80 40 | 3505.59 41 | 3539.91 40 | 2550.07 41 | 2716.66 41 | 4302.89 40 |
|
DeepC-MVS_fast | | 2190.19 10 | 3761.23 42 | 3050.62 43 | 4234.97 42 | 3851.12 42 | 3561.12 42 | 3001.56 44 | 3099.67 43 | 5292.66 42 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
3Dnovator+ | | 3414.41 15 | 4057.00 43 | 3365.00 44 | 4518.33 43 | 3909.00 43 | 4339.00 43 | 2806.00 42 | 3924.00 46 | 5307.00 43 |
|
CMPMVS |  | 2623.62 13 | 4160.94 44 | 3037.05 42 | 4910.20 44 | 4057.20 44 | 5253.20 45 | 3109.40 45 | 2964.70 42 | 5420.20 44 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
PLC |  | 2858.82 14 | 4457.00 45 | 3560.00 46 | 5055.00 45 | 4457.00 45 | 4671.00 44 | 3360.00 46 | 3760.00 44 | 6037.00 45 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
DeepPCF-MVS | | 3452.42 16 | 5328.53 46 | 3926.82 47 | 6263.00 46 | 5101.63 46 | 5379.92 47 | 4010.62 47 | 3843.02 45 | 8307.46 46 |
|
DeepC-MVS | | 3917.13 17 | 5746.11 47 | 4462.91 48 | 6601.57 47 | 5612.31 47 | 5379.45 46 | 4610.56 48 | 4315.25 48 | 8812.96 47 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
MVE |  | 10021.00 20 | 8749.80 48 | 3439.50 45 | 12290.00 50 | 6275.00 48 | 16332.00 51 | 2923.00 43 | 3956.00 47 | 14263.00 50 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
PCF-MVS | | 4335.85 18 | 9288.52 49 | 5777.29 49 | 11629.34 49 | 9919.03 50 | 10475.60 49 | 5496.66 49 | 6057.92 49 | 14493.40 51 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
A-TVSNet + Gipuma |  | | 9351.57 50 | 7502.61 50 | 10584.21 48 | 9219.52 49 | 10119.20 48 | 7334.37 50 | 7670.84 50 | 12413.90 49 |
|
TAPA-MVS | | 6309.84 19 | 13353.70 51 | 10496.80 52 | 15258.30 51 | 14678.80 51 | 14057.00 50 | 10791.00 52 | 10202.60 52 | 17039.10 52 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
LTVRE_ROB | | 20565.47 21 | 13815.20 52 | 7669.50 51 | 17912.33 52 | 22283.00 52 | 21104.00 52 | 7445.00 51 | 7894.00 51 | 10350.00 48 |
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 |
test_1205 | | | 31740.00 53 | 24750.00 53 | 36400.00 53 | 32520.00 53 | 33720.00 53 | 24240.00 53 | 25260.00 53 | 42960.00 53 |
|
test_1124 | | | 31740.00 53 | 24750.00 53 | 36400.00 53 | 32520.00 53 | 33720.00 53 | 24240.00 53 | 25260.00 53 | 42960.00 53 |
|
test_1126 | | | 31740.00 53 | 24750.00 53 | 36400.00 53 | 32520.00 53 | 33720.00 53 | 24240.00 53 | 25260.00 53 | 42960.00 53 |
|
test_1120 |  | | 31740.00 53 | 24750.00 53 | 36400.00 53 | 32520.00 53 | 33720.00 53 | 24240.00 53 | 25260.00 53 | 42960.00 53 |
|
GSE | | | 84345.00 57 | 83012.00 57 | 85233.67 57 | 88513.00 57 | 78675.00 57 | 82336.00 57 | 83688.00 57 | 88513.00 57 |
|
LPCS | | | 84345.00 57 | 83012.00 57 | 85233.67 57 | 88513.00 57 | 78675.00 57 | 82336.00 57 | 83688.00 57 | 88513.00 57 |
|
MVSCRF | | | 279999.00 59 | 99999.00 59 | 399999.00 59 | 999999.00 59 | 99999.00 59 | 99999.00 59 | 99999.00 59 | 99999.00 59 |
|
CasMVSNet(base) | | | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 |
|
CasMVSNet(SR_B) | | | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 |
|
CasMVSNet(SR_A) | | | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 |
|
COLMAP(SR) | | | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 |
|
COLMAP(base) | | | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 | 1000000.00 60 |
|
Snet | | | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 |
|
dnet | | | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 |
|
AttMVS | | | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 | 10000000.00 65 |
|
UnsupFinetunedMVSNet | | | | | | 10000000.00 65 | | | | |
|