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 bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
LCM-MVSNet95.70 196.40 193.61 298.67 185.39 2995.54 397.36 196.97 199.04 199.05 196.61 195.92 885.07 3699.27 399.54 1
PMVScopyleft80.48 690.08 3390.66 3688.34 6496.71 292.97 290.31 3689.57 15888.51 1590.11 8095.12 4690.98 888.92 21377.55 12297.07 6583.13 264
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MPTG91.27 1991.26 2791.29 2596.59 386.29 1488.94 6291.81 8784.07 3092.00 5694.40 6986.63 3995.28 3488.59 498.31 2692.30 143
MTAPA91.52 1391.60 1691.29 2596.59 386.29 1492.02 2491.81 8784.07 3092.00 5694.40 6986.63 3995.28 3488.59 498.31 2692.30 143
PEN-MVS90.03 3591.88 1284.48 12996.57 558.88 24788.95 6193.19 4491.62 496.01 696.16 2287.02 3695.60 1978.69 11398.72 1098.97 3
PS-CasMVS90.06 3491.92 984.47 13096.56 658.83 24889.04 6092.74 6391.40 596.12 496.06 2487.23 3595.57 2079.42 10998.74 799.00 2
DTE-MVSNet89.98 3791.91 1184.21 13896.51 757.84 25188.93 6392.84 6091.92 296.16 396.23 2086.95 3795.99 479.05 11098.57 1698.80 6
CP-MVSNet89.27 5290.91 3484.37 13396.34 858.61 25088.66 6892.06 7990.78 695.67 995.17 4481.80 8795.54 2379.00 11198.69 1198.95 4
WR-MVS_H89.91 4291.31 2585.71 10796.32 962.39 21089.54 5393.31 3990.21 1095.57 1195.66 3181.42 9195.90 980.94 8598.80 498.84 5
MP-MVScopyleft91.14 2390.91 3491.83 1896.18 1086.88 1192.20 2293.03 5282.59 4488.52 12294.37 7286.74 3895.41 2886.32 2698.21 3293.19 124
mPP-MVS91.69 1091.47 2092.37 596.04 1188.48 892.72 1492.60 6883.09 3891.54 6494.25 7587.67 3395.51 2687.21 2398.11 3593.12 125
MP-MVS-pluss90.81 2491.08 2989.99 4695.97 1279.88 6388.13 7394.51 1175.79 12392.94 3894.96 4988.36 2095.01 4390.70 298.40 2195.09 75
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
TDRefinement93.52 293.39 393.88 195.94 1390.26 495.70 296.46 290.58 892.86 4196.29 1888.16 2694.17 6586.07 3298.48 1997.22 26
ACMMP_Plus90.65 2691.07 3089.42 5295.93 1479.54 6889.95 4293.68 2977.65 10191.97 5894.89 5188.38 1995.45 2789.27 397.87 4593.27 120
HPM-MVS_fast92.50 592.54 592.37 595.93 1485.81 2792.99 1194.23 1685.21 2492.51 4895.13 4590.65 1195.34 3088.06 1098.15 3495.95 51
HSP-MVS88.63 5987.84 6791.02 2995.76 1686.14 1992.75 1391.01 11978.43 9289.16 11192.25 12372.03 20196.36 288.21 990.93 20690.55 182
region2R91.44 1791.30 2691.87 1695.75 1785.90 2392.63 1793.30 4081.91 5390.88 7594.21 7687.75 3095.87 1087.60 1697.71 5093.83 103
ACMMPR91.49 1491.35 2491.92 1495.74 1885.88 2492.58 1893.25 4381.99 5191.40 6794.17 7887.51 3495.87 1087.74 1197.76 4793.99 99
TSAR-MVS + MP.88.14 6487.82 6889.09 5795.72 1976.74 9192.49 2091.19 11567.85 20186.63 14994.84 5379.58 10695.96 787.62 1494.50 14894.56 81
PGM-MVS91.20 2190.95 3391.93 1395.67 2085.85 2590.00 3993.90 2680.32 6791.74 6294.41 6888.17 2595.98 586.37 2597.99 4193.96 101
XVS91.54 1291.36 2292.08 895.64 2186.25 1692.64 1593.33 3785.07 2589.99 8494.03 8186.57 4195.80 1387.35 1997.62 5294.20 92
X-MVStestdata85.04 11282.70 15692.08 895.64 2186.25 1692.64 1593.33 3785.07 2589.99 8416.05 33086.57 4195.80 1387.35 1997.62 5294.20 92
HPM-MVS92.13 692.20 791.91 1595.58 2384.67 3893.51 694.85 982.88 4191.77 6193.94 8990.55 1395.73 1688.50 898.23 3195.33 69
ACMMPcopyleft91.91 991.87 1492.03 1195.53 2485.91 2293.35 994.16 2082.52 4592.39 5294.14 7989.15 1795.62 1887.35 1998.24 3094.56 81
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
HFP-MVS91.30 1891.39 2191.02 2995.43 2584.66 3992.58 1893.29 4181.99 5191.47 6593.96 8588.35 2195.56 2187.74 1197.74 4892.85 128
#test#90.49 3090.31 4191.02 2995.43 2584.66 3990.65 3493.29 4177.00 11091.47 6593.96 8588.35 2195.56 2184.88 3997.74 4892.85 128
CP-MVS91.67 1191.58 1791.96 1295.29 2787.62 993.38 793.36 3583.16 3791.06 7094.00 8288.26 2395.71 1787.28 2298.39 2392.55 136
VDDNet84.35 13185.39 10981.25 19795.13 2859.32 24485.42 11781.11 24086.41 2287.41 13796.21 2173.61 17090.61 18966.33 20896.85 7093.81 108
CPTT-MVS89.39 5088.98 5590.63 3695.09 2986.95 1092.09 2392.30 7479.74 7287.50 13692.38 11781.42 9193.28 11483.07 6297.24 6191.67 158
ACMM79.39 990.65 2690.99 3189.63 4995.03 3083.53 4489.62 5093.35 3679.20 8093.83 2893.60 9490.81 992.96 12785.02 3898.45 2092.41 139
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
UA-Net91.49 1491.53 1891.39 2294.98 3182.95 5093.52 592.79 6188.22 1688.53 12197.64 383.45 6394.55 5686.02 3398.60 1496.67 36
HPM-MVS++88.93 5688.45 6290.38 4094.92 3285.85 2589.70 4691.27 11278.20 9586.69 14892.28 12280.36 10095.06 4286.17 3196.49 8390.22 188
XVG-ACMP-BASELINE89.98 3789.84 4490.41 3994.91 3384.50 4189.49 5593.98 2479.68 7392.09 5493.89 9083.80 5993.10 12282.67 6998.04 3693.64 112
OPM-MVS89.80 4389.97 4289.27 5494.76 3479.86 6486.76 9792.78 6278.78 8792.51 4893.64 9388.13 2793.84 7984.83 4197.55 5594.10 97
Anonymous2023121190.14 3191.88 1284.92 11694.75 3564.47 17690.13 3892.97 5491.68 395.35 1298.79 293.19 391.76 15871.67 16998.40 2198.52 7
LPG-MVS_test91.47 1691.68 1590.82 3494.75 3581.69 5190.00 3994.27 1382.35 4693.67 3094.82 5491.18 695.52 2485.36 3498.73 895.23 72
LGP-MVS_train90.82 3494.75 3581.69 5194.27 1382.35 4693.67 3094.82 5491.18 695.52 2485.36 3498.73 895.23 72
abl_693.02 493.16 492.60 494.73 3888.99 793.26 1094.19 1989.11 1194.43 1995.27 4191.86 495.09 4087.54 1898.02 3993.71 110
XVG-OURS-SEG-HR89.59 4789.37 5090.28 4294.47 3985.95 2186.84 9393.91 2580.07 7086.75 14793.26 9693.64 290.93 17784.60 4490.75 21193.97 100
ACMP79.16 1090.54 2990.60 3790.35 4194.36 4080.98 5789.16 5994.05 2379.03 8492.87 4093.74 9290.60 1295.21 3882.87 6598.76 594.87 77
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
XVG-OURS89.18 5388.83 5790.23 4394.28 4186.11 2085.91 10993.60 3280.16 6989.13 11293.44 9583.82 5890.98 17583.86 5495.30 12493.60 114
MIMVSNet183.63 15084.59 12980.74 20294.06 4262.77 20082.72 17884.53 22477.57 10390.34 7895.92 2676.88 13685.83 24561.88 23297.42 5793.62 113
TranMVSNet+NR-MVSNet87.86 6788.76 6085.18 11394.02 4364.13 17884.38 13191.29 11184.88 2792.06 5593.84 9186.45 4393.73 8073.22 15598.66 1297.69 12
新几何182.95 16993.96 4478.56 7580.24 24455.45 27383.93 18891.08 15471.19 20688.33 21965.84 21393.07 17781.95 279
112180.86 18479.81 19484.02 14193.93 4578.70 7481.64 20480.18 24555.43 27483.67 19091.15 14971.29 20591.41 16767.95 19893.06 17881.96 278
SteuartSystems-ACMMP91.16 2291.36 2290.55 3793.91 4680.97 5891.49 2993.48 3482.82 4292.60 4793.97 8388.19 2496.29 387.61 1598.20 3394.39 90
Skip Steuart: Steuart Systems R&D Blog.
LTVRE_ROB86.10 193.04 393.44 291.82 1993.73 4785.72 2896.79 195.51 488.86 1395.63 1096.99 884.81 5293.16 11991.10 197.53 5696.58 39
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
COLMAP_ROBcopyleft83.01 391.97 891.95 892.04 1093.68 4886.15 1893.37 895.10 790.28 992.11 5395.03 4789.75 1594.93 4579.95 10198.27 2995.04 76
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
DeepC-MVS82.31 489.15 5489.08 5289.37 5393.64 4979.07 7088.54 6994.20 1773.53 14289.71 9594.82 5485.09 5095.77 1584.17 5098.03 3893.26 121
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
mvs_tets89.78 4489.27 5191.30 2493.51 5084.79 3689.89 4490.63 12470.00 18494.55 1896.67 1187.94 2993.59 9084.27 4895.97 10395.52 65
HQP_MVS87.75 7087.43 7588.70 6093.45 5176.42 9589.45 5693.61 3079.44 7786.55 15092.95 10474.84 15095.22 3680.78 8895.83 11094.46 86
plane_prior793.45 5177.31 85
WR-MVS83.56 15184.40 13581.06 20093.43 5354.88 27178.67 23985.02 22081.24 5990.74 7691.56 13872.85 18691.08 17368.00 19698.04 3697.23 25
jajsoiax89.41 4988.81 5891.19 2893.38 5484.72 3789.70 4690.29 14069.27 18894.39 2096.38 1586.02 4893.52 10083.96 5195.92 10695.34 68
PS-MVSNAJss88.31 6287.90 6689.56 5193.31 5577.96 7887.94 7591.97 8270.73 17894.19 2496.67 1176.94 13094.57 5483.07 6296.28 8996.15 42
test22293.31 5576.54 9279.38 23077.79 25352.59 28782.36 20190.84 16466.83 22091.69 19681.25 290
DU-MVS86.80 8186.99 8186.21 9693.24 5767.02 16183.16 16692.21 7581.73 5590.92 7291.97 12577.20 12493.99 7074.16 14498.35 2497.61 13
NR-MVSNet86.00 9786.22 9585.34 11193.24 5764.56 17582.21 19390.46 12880.99 6188.42 12491.97 12577.56 12193.85 7772.46 16398.65 1397.61 13
OurMVSNet-221017-090.01 3689.74 4690.83 3393.16 5980.37 5991.91 2793.11 4681.10 6095.32 1397.24 672.94 18594.85 4785.07 3697.78 4697.26 23
pcd1.5k->3k38.83 30741.11 30832.01 31893.13 600.00 3380.00 32991.38 1090.00 3330.00 3340.00 33589.24 160.00 3360.00 33396.24 9296.02 48
UniMVSNet (Re)86.87 7886.98 8286.55 8693.11 6168.48 15383.80 14592.87 5780.37 6589.61 10391.81 13277.72 11994.18 6375.00 14198.53 1796.99 34
APD-MVS_3200maxsize92.05 792.24 691.48 2093.02 6285.17 3192.47 2195.05 887.65 1993.21 3694.39 7190.09 1495.08 4186.67 2497.60 5494.18 94
ACMH+77.89 1190.73 2591.50 1988.44 6293.00 6376.26 9789.65 4995.55 387.72 1893.89 2794.94 5091.62 593.44 10678.35 11598.76 595.61 64
APDe-MVS91.22 2091.92 989.14 5692.97 6478.04 7792.84 1294.14 2183.33 3593.90 2695.73 2988.77 1896.41 187.60 1697.98 4292.98 127
114514_t83.10 16082.54 16184.77 12192.90 6569.10 15186.65 10290.62 12554.66 27781.46 21290.81 16576.98 12994.38 5772.62 16296.18 9390.82 173
testdata79.54 21792.87 6672.34 12080.14 24659.91 25885.47 16891.75 13467.96 21685.24 24968.57 19492.18 19481.06 295
CNVR-MVS87.81 6987.68 7188.21 6592.87 6677.30 8685.25 11891.23 11377.31 10687.07 14391.47 14082.94 6894.71 5084.67 4396.27 9192.62 135
UniMVSNet_NR-MVSNet86.84 8087.06 7986.17 9992.86 6867.02 16182.55 18291.56 9383.08 3990.92 7291.82 13178.25 11593.99 7074.16 14498.35 2497.49 16
plane_prior192.83 69
原ACMM184.60 12692.81 7074.01 10791.50 9562.59 24082.73 20090.67 17076.53 13794.25 6069.24 18595.69 11585.55 236
plane_prior692.61 7176.54 9274.84 150
APD-MVScopyleft89.54 4889.63 4889.26 5592.57 7281.34 5690.19 3793.08 4880.87 6291.13 6993.19 9786.22 4695.97 682.23 7397.18 6390.45 184
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
test_040288.65 5889.58 4985.88 10492.55 7372.22 12384.01 13689.44 16088.63 1494.38 2195.77 2886.38 4593.59 9079.84 10295.21 12591.82 155
SixPastTwentyTwo87.20 7487.45 7486.45 8892.52 7469.19 15087.84 7888.05 17681.66 5694.64 1796.53 1465.94 22494.75 4983.02 6496.83 7295.41 67
ACMH76.49 1489.34 5191.14 2883.96 14492.50 7570.36 14089.55 5193.84 2781.89 5494.70 1695.44 3990.69 1088.31 22083.33 5898.30 2893.20 123
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
VPNet80.25 19181.68 17175.94 24992.46 7647.98 30576.70 25481.67 23873.45 14384.87 17392.82 10774.66 15586.51 23761.66 23596.85 7093.33 119
agg_prior385.76 10384.95 11688.16 6692.43 7779.92 6283.98 13790.03 14865.11 22483.66 19190.64 17381.00 9493.67 8281.21 8096.54 8090.88 171
F-COLMAP84.97 11583.42 14989.63 4992.39 7883.40 4588.83 6491.92 8473.19 15080.18 22989.15 19677.04 12893.28 11465.82 21492.28 19192.21 147
test_djsdf89.62 4689.01 5391.45 2192.36 7982.98 4991.98 2590.08 14671.54 17294.28 2396.54 1381.57 8994.27 5886.26 2796.49 8397.09 30
TEST992.34 8079.70 6683.94 13890.32 13365.41 22184.49 17990.97 15882.03 8193.63 85
train_agg85.98 10085.28 11088.07 6892.34 8079.70 6683.94 13890.32 13365.79 21484.49 17990.97 15881.93 8393.63 8581.21 8096.54 8090.88 171
NCCC87.36 7186.87 8588.83 5892.32 8278.84 7386.58 10491.09 11778.77 8884.85 17490.89 16280.85 9595.29 3281.14 8295.32 12192.34 142
FC-MVSNet-test85.93 10187.05 8082.58 17592.25 8356.44 26185.75 11293.09 4777.33 10591.94 5994.65 5974.78 15293.41 10875.11 13998.58 1597.88 10
CDPH-MVS86.17 9685.54 10688.05 7192.25 8375.45 10083.85 14292.01 8065.91 21386.19 15791.75 13483.77 6094.98 4477.43 12596.71 7593.73 109
pmmvs686.52 8788.06 6481.90 18492.22 8562.28 21684.66 12689.15 16383.54 3489.85 9197.32 488.08 2886.80 23470.43 17897.30 6096.62 37
EG-PatchMatch MVS84.08 14184.11 14283.98 14392.22 8572.61 11682.20 19587.02 19672.63 15788.86 11491.02 15678.52 11191.11 17273.41 15491.09 20188.21 208
test_892.09 8778.87 7283.82 14390.31 13565.79 21484.36 18290.96 16081.93 8393.44 106
Vis-MVSNetpermissive86.86 7986.58 8987.72 7392.09 8777.43 8387.35 8492.09 7878.87 8684.27 18694.05 8078.35 11493.65 8380.54 9291.58 19892.08 149
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
IS-MVSNet86.66 8486.82 8886.17 9992.05 8966.87 16391.21 3388.64 16886.30 2389.60 10492.59 11269.22 21194.91 4673.89 14897.89 4496.72 35
旧先验191.97 9071.77 12881.78 23791.84 12973.92 16393.65 16783.61 254
v7n90.13 3290.96 3287.65 7591.95 9171.06 13689.99 4193.05 4986.53 2194.29 2296.27 1982.69 7094.08 6886.25 2997.63 5197.82 11
NP-MVS91.95 9174.55 10490.17 182
OMC-MVS88.19 6387.52 7290.19 4491.94 9381.68 5387.49 8393.17 4576.02 11988.64 11991.22 14484.24 5793.37 10977.97 12097.03 6695.52 65
FIs85.35 10886.27 9482.60 17491.86 9457.31 25585.10 12093.05 4975.83 12291.02 7193.97 8373.57 17192.91 13173.97 14798.02 3997.58 15
MSLP-MVS++85.00 11486.03 9981.90 18491.84 9571.56 13486.75 9893.02 5375.95 12087.12 14089.39 19377.98 11689.40 21077.46 12394.78 14184.75 244
DP-MVS Recon84.05 14283.22 15286.52 8791.73 9675.27 10183.23 16592.40 7172.04 16682.04 20588.33 20577.91 11893.95 7566.17 20995.12 12890.34 187
SD-MVS88.96 5589.88 4386.22 9491.63 9777.07 8789.82 4593.77 2878.90 8592.88 3992.29 12186.11 4790.22 19786.24 3097.24 6191.36 165
AllTest87.97 6687.40 7689.68 4791.59 9883.40 4589.50 5495.44 579.47 7588.00 12993.03 10082.66 7191.47 16370.81 17196.14 9694.16 95
TestCases89.68 4791.59 9883.40 4595.44 579.47 7588.00 12993.03 10082.66 7191.47 16370.81 17196.14 9694.16 95
MCST-MVS84.36 12983.93 14685.63 10891.59 9871.58 13383.52 15392.13 7761.82 24683.96 18789.75 18879.93 10593.46 10578.33 11694.34 15191.87 154
agg_prior185.72 10485.20 11187.28 8091.58 10177.69 7983.69 14890.30 13766.29 20984.32 18391.07 15582.13 7893.18 11781.02 8396.36 8690.98 166
agg_prior91.58 10177.69 7990.30 13784.32 18393.18 117
PVSNet_Blended_VisFu81.55 17580.49 18684.70 12491.58 10173.24 11284.21 13291.67 9062.86 23880.94 21787.16 22067.27 21892.87 13269.82 18188.94 22987.99 212
EPP-MVSNet85.47 10785.04 11386.77 8391.52 10469.37 14591.63 2887.98 17981.51 5887.05 14491.83 13066.18 22395.29 3270.75 17396.89 6995.64 59
DeepPCF-MVS81.24 587.28 7386.21 9690.49 3891.48 10584.90 3483.41 15992.38 7370.25 18389.35 10990.68 16982.85 6994.57 5479.55 10595.95 10492.00 150
Baseline_NR-MVSNet84.00 14485.90 10078.29 22991.47 10653.44 27982.29 18987.00 19779.06 8389.55 10595.72 3077.20 12486.14 24172.30 16498.51 1895.28 70
HyFIR lowres test75.12 22772.66 24082.50 17891.44 10765.19 17172.47 28187.31 18646.79 31380.29 22784.30 25552.70 27892.10 14851.88 28386.73 25290.22 188
DP-MVS88.60 6089.01 5387.36 7991.30 10877.50 8287.55 8192.97 5487.95 1789.62 10192.87 10684.56 5493.89 7677.65 12196.62 7790.70 175
DeepC-MVS_fast80.27 886.23 9485.65 10587.96 7291.30 10876.92 8887.19 8791.99 8170.56 17984.96 17090.69 16880.01 10395.14 3978.37 11495.78 11291.82 155
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+83.92 289.97 3989.66 4790.92 3291.27 11081.66 5491.25 3294.13 2288.89 1288.83 11694.26 7477.55 12295.86 1284.88 3995.87 10895.24 71
HQP-NCC91.19 11184.77 12273.30 14680.55 224
ACMP_Plane91.19 11184.77 12273.30 14680.55 224
HQP-MVS84.61 12084.06 14386.27 9291.19 11170.66 13884.77 12292.68 6473.30 14680.55 22490.17 18272.10 19794.61 5277.30 12694.47 14993.56 116
VDD-MVS84.23 13584.58 13083.20 16591.17 11465.16 17283.25 16384.97 22279.79 7187.18 13994.27 7374.77 15390.89 18069.24 18596.54 8093.55 118
K. test v385.14 10984.73 11986.37 8991.13 11569.63 14485.45 11676.68 26184.06 3292.44 5096.99 862.03 23694.65 5180.58 9193.24 17594.83 80
lessismore_v085.95 10191.10 11670.99 13770.91 29391.79 6094.42 6761.76 23792.93 12979.52 10893.03 17993.93 102
TransMVSNet (Re)84.02 14385.74 10278.85 22191.00 11755.20 27082.29 18987.26 18779.65 7488.38 12695.52 3783.00 6786.88 23267.97 19796.60 7894.45 88
wuykxyi23d88.46 6188.80 5987.44 7890.96 11893.03 185.85 11181.96 23474.58 13298.58 297.29 587.73 3187.31 22782.84 6799.41 181.99 277
PAPM_NR83.23 15783.19 15483.33 16390.90 11965.98 16788.19 7290.78 12178.13 9780.87 21987.92 21373.49 17392.42 14070.07 17988.40 23391.60 160
CSCG86.26 9286.47 9185.60 10990.87 12074.26 10687.98 7491.85 8580.35 6689.54 10788.01 20979.09 10892.13 14675.51 13695.06 13090.41 185
PLCcopyleft73.85 1682.09 17180.31 18787.45 7790.86 12180.29 6085.88 11090.65 12368.17 19576.32 24986.33 22973.12 18392.61 13861.40 23890.02 22189.44 196
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
test1286.57 8590.74 12272.63 11590.69 12282.76 19979.20 10794.80 4895.32 12192.27 145
ITE_SJBPF90.11 4590.72 12384.97 3390.30 13781.56 5790.02 8391.20 14782.40 7590.81 18273.58 15194.66 14594.56 81
TAMVS78.08 20476.36 21283.23 16490.62 12472.87 11379.08 23480.01 24761.72 24881.35 21486.92 22463.96 23088.78 21450.61 28493.01 18088.04 211
test_prior386.31 9186.31 9386.32 9090.59 12571.99 12683.37 16092.85 5875.43 12684.58 17791.57 13681.92 8594.17 6579.54 10696.97 6792.80 130
test_prior86.32 9090.59 12571.99 12692.85 5894.17 6592.80 130
ambc82.98 16890.55 12764.86 17388.20 7189.15 16389.40 10893.96 8571.67 20491.38 16978.83 11296.55 7992.71 133
Test_1112_low_res73.90 23673.08 23676.35 24590.35 12855.95 26273.40 28086.17 20350.70 30373.14 27185.94 23358.31 25585.90 24456.51 26183.22 28087.20 221
VPA-MVSNet83.47 15484.73 11979.69 21390.29 12957.52 25481.30 21188.69 16776.29 11587.58 13494.44 6680.60 9887.20 22866.60 20796.82 7394.34 91
FMVSNet184.55 12285.45 10881.85 18790.27 13061.05 23286.83 9488.27 17378.57 9189.66 9795.64 3375.43 14290.68 18669.09 18795.33 12093.82 105
MVS_111021_HR84.63 11984.34 14085.49 11090.18 13175.86 9979.23 23387.13 19273.35 14585.56 16689.34 19483.60 6290.50 19176.64 13194.05 15590.09 193
RPSCF88.00 6586.93 8491.22 2790.08 13289.30 689.68 4891.11 11679.26 7989.68 9694.81 5782.44 7487.74 22476.54 13288.74 23296.61 38
nrg03087.85 6888.49 6185.91 10290.07 13369.73 14287.86 7694.20 1774.04 13792.70 4594.66 5885.88 4991.50 16279.72 10397.32 5996.50 40
v74888.91 5789.82 4586.19 9890.06 13468.53 15288.81 6591.48 9784.36 2894.19 2495.98 2582.52 7392.67 13684.30 4796.67 7697.37 20
AdaColmapbinary83.66 14983.69 14883.57 15790.05 13572.26 12286.29 10890.00 14978.19 9681.65 21087.16 22083.40 6494.24 6161.69 23494.76 14484.21 249
pm-mvs183.69 14884.95 11679.91 20990.04 13659.66 24182.43 18487.44 18475.52 12587.85 13195.26 4281.25 9385.65 24768.74 19196.04 10194.42 89
CHOSEN 1792x268872.45 24470.56 25378.13 23190.02 13763.08 19468.72 29283.16 22742.99 32275.92 25385.46 23957.22 26285.18 25149.87 28881.67 28986.14 230
anonymousdsp89.73 4588.88 5692.27 789.82 13886.67 1290.51 3590.20 14569.87 18595.06 1496.14 2384.28 5693.07 12687.68 1396.34 8797.09 30
1112_ss74.82 23173.74 23078.04 23389.57 13960.04 24076.49 25787.09 19554.31 27873.66 26979.80 29460.25 24386.76 23558.37 25284.15 27687.32 220
PCF-MVS74.62 1582.15 17080.92 18285.84 10589.43 14072.30 12180.53 21791.82 8657.36 26587.81 13289.92 18577.67 12093.63 8558.69 25195.08 12991.58 161
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MVP-Stereo75.81 22573.51 23382.71 17389.35 14173.62 10880.06 21985.20 21560.30 25673.96 26787.94 21157.89 25789.45 20852.02 28274.87 31085.06 241
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
CNLPA83.55 15283.10 15584.90 11789.34 14283.87 4384.54 12988.77 16579.09 8283.54 19488.66 20374.87 14981.73 27266.84 20692.29 19089.11 199
TSAR-MVS + GP.83.95 14582.69 15787.72 7389.27 14381.45 5583.72 14781.58 23974.73 13185.66 16386.06 23272.56 19492.69 13575.44 13795.21 12589.01 203
MVS_111021_LR84.28 13383.76 14785.83 10689.23 14483.07 4880.99 21483.56 22672.71 15686.07 15889.07 19781.75 8886.19 24077.11 12893.36 16888.24 207
LFMVS80.15 19480.56 18478.89 22089.19 14555.93 26385.22 11973.78 27582.96 4084.28 18592.72 11157.38 26090.07 20463.80 22395.75 11390.68 176
CLD-MVS83.18 15882.64 15884.79 12089.05 14667.82 15877.93 24492.52 6968.33 19485.07 16981.54 28582.06 7992.96 12769.35 18497.91 4393.57 115
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D90.60 2890.34 4091.38 2389.03 14784.23 4293.58 494.68 1090.65 790.33 7993.95 8884.50 5595.37 2980.87 8695.50 11794.53 85
CDS-MVSNet77.32 20975.40 22083.06 16789.00 14872.48 11977.90 24582.17 23360.81 25378.94 23783.49 26259.30 25088.76 21554.64 27492.37 18987.93 214
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v1387.31 7288.10 6384.94 11588.84 14963.75 18287.85 7791.47 10079.12 8193.72 2995.82 2775.20 14493.58 9384.76 4296.16 9497.48 17
Vis-MVSNet (Re-imp)77.82 20577.79 20477.92 23588.82 15051.29 29183.28 16271.97 28674.04 13782.23 20289.78 18757.38 26089.41 20957.22 25895.41 11893.05 126
TAPA-MVS77.73 1285.71 10584.83 11888.37 6388.78 15179.72 6587.15 8993.50 3369.17 18985.80 16289.56 19180.76 9692.13 14673.21 15995.51 11693.25 122
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v1287.15 7587.91 6584.84 11888.69 15263.52 18587.58 8091.46 10178.74 8993.57 3295.66 3174.94 14893.57 9484.50 4596.08 9997.43 18
v5289.97 3990.60 3788.07 6888.69 15272.01 12491.35 3092.64 6682.22 4895.97 896.31 1684.82 5193.98 7288.59 494.83 13998.23 8
V489.97 3990.60 3788.07 6888.69 15272.01 12491.35 3092.64 6682.22 4895.98 796.31 1684.80 5393.98 7288.59 494.83 13998.23 8
FPMVS72.29 24672.00 24673.14 26288.63 15585.00 3274.65 27167.39 30371.94 16877.80 24187.66 21650.48 28375.83 28849.95 28679.51 29758.58 323
BH-untuned80.96 18380.99 18080.84 20188.55 15668.23 15480.33 21888.46 16972.79 15586.55 15086.76 22574.72 15491.77 15761.79 23388.99 22882.52 270
V986.96 7687.70 7084.74 12288.52 15763.27 19187.31 8591.45 10378.28 9493.43 3395.45 3874.59 15693.57 9484.23 4996.01 10297.38 19
v1186.96 7687.78 6984.51 12788.50 15862.60 20587.21 8691.63 9178.08 9893.40 3495.56 3675.07 14593.57 9484.46 4696.08 9997.36 21
ab-mvs79.67 19680.56 18476.99 23988.48 15956.93 25784.70 12586.06 20468.95 19280.78 22093.08 9975.30 14384.62 25656.78 26090.90 20789.43 197
PHI-MVS86.38 8985.81 10188.08 6788.44 16077.34 8489.35 5893.05 4973.15 15184.76 17587.70 21578.87 11094.18 6380.67 9096.29 8892.73 132
V1486.75 8287.46 7384.62 12588.35 16163.00 19687.02 9191.42 10577.78 10093.27 3595.23 4374.22 15793.56 9783.95 5295.93 10597.31 22
xiu_mvs_v1_base_debu80.84 18580.14 19082.93 17088.31 16271.73 12979.53 22687.17 18965.43 21879.59 23182.73 27376.94 13090.14 20073.22 15588.33 23486.90 224
xiu_mvs_v1_base80.84 18580.14 19082.93 17088.31 16271.73 12979.53 22687.17 18965.43 21879.59 23182.73 27376.94 13090.14 20073.22 15588.33 23486.90 224
xiu_mvs_v1_base_debi80.84 18580.14 19082.93 17088.31 16271.73 12979.53 22687.17 18965.43 21879.59 23182.73 27376.94 13090.14 20073.22 15588.33 23486.90 224
MG-MVS80.32 19080.94 18178.47 22888.18 16552.62 28682.29 18985.01 22172.01 16779.24 23592.54 11569.36 21093.36 11070.65 17589.19 22789.45 195
PM-MVS80.20 19379.00 19783.78 14888.17 16686.66 1381.31 20966.81 30969.64 18688.33 12790.19 18064.58 22783.63 26471.99 16890.03 22081.06 295
v1086.54 8687.10 7884.84 11888.16 16763.28 19086.64 10392.20 7675.42 12892.81 4294.50 6474.05 16094.06 6983.88 5396.28 8997.17 28
v1586.56 8587.25 7784.51 12788.15 16862.72 20186.72 10191.40 10777.38 10493.11 3795.00 4873.93 16293.55 9883.67 5695.86 10997.26 23
v784.81 11685.00 11484.23 13788.15 16863.27 19183.79 14691.39 10871.10 17690.07 8191.28 14274.04 16193.63 8581.48 7993.67 16695.79 52
v1786.32 9086.95 8384.44 13188.00 17062.62 20486.74 9991.48 9777.17 10792.74 4394.56 6073.74 16693.53 9983.27 5994.87 13897.18 27
canonicalmvs85.50 10686.14 9783.58 15687.97 17167.13 16087.55 8194.32 1273.44 14488.47 12387.54 21886.45 4391.06 17475.76 13593.76 16392.54 137
v1686.24 9386.85 8684.43 13287.96 17262.59 20686.73 10091.48 9777.17 10792.67 4694.55 6173.63 16793.52 10083.26 6094.16 15297.17 28
VNet79.31 19780.27 18876.44 24487.92 17353.95 27575.58 26584.35 22574.39 13582.23 20290.72 16772.84 18784.39 25860.38 24493.98 15790.97 167
v886.22 9586.83 8784.36 13487.82 17462.35 21186.42 10691.33 11076.78 11292.73 4494.48 6573.41 17493.72 8183.10 6195.41 11897.01 33
v1neww84.43 12684.66 12583.75 14987.81 17562.34 21283.59 14990.27 14172.33 16289.93 8891.22 14473.28 17893.29 11180.25 9793.25 17395.62 60
v7new84.43 12684.66 12583.75 14987.81 17562.34 21283.59 14990.27 14172.33 16289.93 8891.22 14473.28 17893.29 11180.25 9793.25 17395.62 60
v684.43 12684.66 12583.75 14987.81 17562.34 21283.59 14990.26 14372.33 16289.94 8791.19 14873.30 17793.29 11180.26 9693.26 17295.62 60
alignmvs83.94 14683.98 14583.80 14687.80 17867.88 15784.54 12991.42 10573.27 14988.41 12587.96 21072.33 19690.83 18176.02 13494.11 15392.69 134
v119284.57 12184.69 12384.21 13887.75 17962.88 19883.02 16891.43 10469.08 19089.98 8690.89 16272.70 19093.62 8982.41 7094.97 13396.13 43
v1885.99 9986.55 9084.30 13687.73 18062.29 21586.40 10791.49 9676.64 11392.40 5194.20 7773.28 17893.52 10082.87 6593.99 15697.09 30
PatchMatch-RL74.48 23273.22 23578.27 23087.70 18185.26 3075.92 26170.09 29564.34 23076.09 25281.25 28765.87 22578.07 28153.86 27683.82 27771.48 311
v114484.54 12484.72 12184.00 14287.67 18262.55 20782.97 16990.93 12070.32 18289.80 9390.99 15773.50 17293.48 10481.69 7894.65 14695.97 49
v124084.30 13284.51 13283.65 15487.65 18361.26 22882.85 17291.54 9467.94 19990.68 7790.65 17171.71 20393.64 8482.84 6794.78 14196.07 45
v192192084.23 13584.37 13983.79 14787.64 18461.71 21982.91 17191.20 11467.94 19990.06 8290.34 17672.04 20093.59 9082.32 7294.91 13496.07 45
v14419284.24 13484.41 13483.71 15387.59 18561.57 22482.95 17091.03 11867.82 20289.80 9390.49 17473.28 17893.51 10381.88 7794.89 13596.04 47
Fast-Effi-MVS+81.04 18280.57 18382.46 17987.50 18663.22 19378.37 24089.63 15668.01 19681.87 20782.08 28082.31 7692.65 13767.10 20288.30 23891.51 163
pmmvs-eth3d78.42 20277.04 20782.57 17787.44 18774.41 10580.86 21679.67 24855.68 27284.69 17690.31 17960.91 23985.42 24862.20 23091.59 19787.88 215
IterMVS-LS84.73 11884.98 11583.96 14487.35 18863.66 18383.25 16389.88 15176.06 11789.62 10192.37 12073.40 17692.52 13978.16 11894.77 14395.69 57
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v184.16 13784.38 13683.52 15987.33 18961.71 21982.79 17489.73 15471.89 17189.64 9891.11 15372.72 18893.10 12280.40 9393.79 16295.75 54
v114184.16 13784.38 13683.52 15987.32 19061.70 22182.79 17489.74 15271.90 16989.64 9891.12 15172.68 19193.10 12280.39 9593.80 16195.75 54
divwei89l23v2f11284.16 13784.38 13683.52 15987.32 19061.70 22182.79 17489.74 15271.90 16989.64 9891.12 15172.68 19193.10 12280.40 9393.81 16095.75 54
MIMVSNet71.09 25371.59 24969.57 27787.23 19250.07 30078.91 23571.83 28860.20 25771.26 28291.76 13355.08 27376.09 28641.06 31187.02 25182.54 269
Effi-MVS+83.90 14784.01 14483.57 15787.22 19365.61 17086.55 10592.40 7178.64 9081.34 21584.18 25683.65 6192.93 12974.22 14387.87 24292.17 148
BH-RMVSNet80.53 18880.22 18981.49 19387.19 19466.21 16677.79 24686.23 20274.21 13683.69 18988.50 20473.25 18290.75 18363.18 22887.90 24187.52 217
Effi-MVS+-dtu85.82 10283.38 15093.14 387.13 19591.15 387.70 7988.42 17074.57 13383.56 19385.65 23478.49 11294.21 6272.04 16692.88 18294.05 98
mvs-test184.55 12282.12 16691.84 1787.13 19589.54 585.05 12188.42 17074.57 13380.60 22182.98 26778.49 11293.98 7272.04 16689.77 22392.00 150
v2v48284.09 14084.24 14183.62 15587.13 19561.40 22582.71 17989.71 15572.19 16589.55 10591.41 14170.70 20893.20 11681.02 8393.76 16396.25 41
jason77.42 20875.75 21882.43 18087.10 19869.27 14677.99 24381.94 23651.47 29777.84 23985.07 24760.32 24289.00 21170.74 17489.27 22689.03 201
jason: jason.
PS-MVSNAJ77.04 21276.53 21178.56 22687.09 19961.40 22575.26 26787.13 19261.25 25174.38 26677.22 30376.94 13090.94 17664.63 21984.83 27283.35 259
xiu_mvs_v2_base77.19 21076.75 20978.52 22787.01 20061.30 22775.55 26687.12 19461.24 25274.45 26578.79 29777.20 12490.93 17764.62 22084.80 27383.32 260
BH-w/o76.57 21776.07 21578.10 23286.88 20165.92 16877.63 24786.33 20165.69 21680.89 21879.95 29368.97 21490.74 18453.01 27985.25 26677.62 300
MAR-MVS80.24 19278.74 19984.73 12386.87 20278.18 7685.75 11287.81 18165.67 21777.84 23978.50 29873.79 16590.53 19061.59 23790.87 20885.49 238
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
testing_284.36 12984.64 12883.50 16286.74 20363.97 18184.56 12890.31 13566.22 21091.62 6394.55 6175.88 14091.95 14977.02 12994.89 13594.56 81
QAPM82.59 16482.59 16082.58 17586.44 20466.69 16489.94 4390.36 13267.97 19884.94 17292.58 11472.71 18992.18 14570.63 17687.73 24488.85 205
PAPM71.77 24870.06 25976.92 24086.39 20553.97 27476.62 25586.62 19953.44 28363.97 31184.73 25357.79 25892.34 14139.65 31381.33 29284.45 246
GBi-Net82.02 17282.07 16781.85 18786.38 20661.05 23286.83 9488.27 17372.43 15886.00 15995.64 3363.78 23190.68 18665.95 21093.34 16993.82 105
test182.02 17282.07 16781.85 18786.38 20661.05 23286.83 9488.27 17372.43 15886.00 15995.64 3363.78 23190.68 18665.95 21093.34 16993.82 105
FMVSNet281.31 17781.61 17380.41 20686.38 20658.75 24983.93 14086.58 20072.43 15887.65 13392.98 10263.78 23190.22 19766.86 20493.92 15892.27 145
3Dnovator80.37 784.80 11784.71 12285.06 11486.36 20974.71 10388.77 6690.00 14975.65 12484.96 17093.17 9874.06 15991.19 17078.28 11791.09 20189.29 198
Anonymous2023120671.38 25271.88 24769.88 27386.31 21054.37 27270.39 28874.62 27152.57 28876.73 24588.76 20059.94 24572.06 29544.35 30693.23 17683.23 262
API-MVS82.28 16882.61 15981.30 19586.29 21169.79 14188.71 6787.67 18278.42 9382.15 20484.15 25877.98 11691.59 16165.39 21592.75 18382.51 271
testmv70.47 25770.70 25269.77 27586.22 21253.89 27667.32 29871.91 28763.32 23378.16 23889.47 19256.12 26673.10 29336.43 31987.33 24782.33 273
UGNet82.78 16181.64 17286.21 9686.20 21376.24 9886.86 9285.68 20977.07 10973.76 26892.82 10769.64 20991.82 15569.04 18893.69 16590.56 181
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
TR-MVS76.77 21575.79 21679.72 21286.10 21465.79 16977.14 25183.02 22865.20 22281.40 21382.10 27966.30 22190.73 18555.57 26785.27 26582.65 266
MVS_030583.28 15682.18 16586.58 8486.07 21572.49 11883.49 15891.61 9276.81 11173.06 27386.94 22372.39 19595.33 3176.65 13092.63 18691.93 153
LCM-MVSNet-Re83.48 15385.06 11278.75 22385.94 21655.75 26680.05 22094.27 1376.47 11496.09 594.54 6383.31 6589.75 20659.95 24594.89 13590.75 174
Fast-Effi-MVS+-dtu82.54 16581.41 17585.90 10385.60 21776.53 9483.07 16789.62 15773.02 15379.11 23683.51 26180.74 9790.24 19668.76 19089.29 22590.94 168
v14882.31 16782.48 16281.81 19085.59 21859.66 24181.47 20786.02 20572.85 15488.05 12890.65 17170.73 20790.91 17975.15 13891.79 19594.87 77
MVSFormer82.23 16981.57 17484.19 14085.54 21969.26 14791.98 2590.08 14671.54 17276.23 25085.07 24758.69 25394.27 5886.26 2788.77 23089.03 201
lupinMVS76.37 22074.46 22882.09 18185.54 21969.26 14776.79 25280.77 24350.68 30476.23 25082.82 27158.69 25388.94 21269.85 18088.77 23088.07 209
TinyColmap81.25 18082.34 16477.99 23485.33 22160.68 23682.32 18888.33 17271.26 17486.97 14592.22 12477.10 12786.98 23162.37 22995.17 12786.31 229
PAPR78.84 19978.10 20281.07 19985.17 22260.22 23982.21 19390.57 12662.51 24175.32 25984.61 25474.99 14792.30 14259.48 24988.04 24090.68 176
DI_MVS_plusplus_test81.27 17981.26 17681.29 19684.98 22361.65 22381.98 19887.25 18863.56 23187.56 13589.60 19073.62 16891.83 15472.20 16590.59 21790.38 186
pmmvs474.92 23072.98 23880.73 20384.95 22471.71 13276.23 26077.59 25452.83 28677.73 24286.38 22856.35 26484.97 25257.72 25787.05 25085.51 237
Test481.31 17781.13 17981.88 18684.89 22563.05 19582.37 18690.50 12762.75 23989.00 11388.29 20667.55 21791.68 15973.55 15291.24 20090.89 170
Patchmatch-RL test74.48 23273.68 23176.89 24184.83 22666.54 16572.29 28269.16 30057.70 26386.76 14686.33 22945.79 29882.59 26869.63 18290.65 21581.54 286
test_normal81.23 18181.16 17881.43 19484.77 22761.99 21881.46 20886.95 19863.16 23687.22 13889.63 18973.62 16891.65 16072.92 16090.70 21290.65 178
XXY-MVS74.44 23476.19 21469.21 27884.61 22852.43 28771.70 28477.18 25660.73 25580.60 22190.96 16075.44 14169.35 30256.13 26388.33 23485.86 234
cascas76.29 22174.81 22380.72 20484.47 22962.94 19773.89 27687.34 18555.94 27175.16 26176.53 30663.97 22991.16 17165.00 21690.97 20588.06 210
PVSNet_BlendedMVS78.80 20077.84 20381.65 19284.43 23063.41 18679.49 22990.44 12961.70 24975.43 25787.07 22269.11 21291.44 16560.68 24292.24 19290.11 192
PVSNet_Blended76.49 21975.40 22079.76 21184.43 23063.41 18675.14 26890.44 12957.36 26575.43 25778.30 29969.11 21291.44 16560.68 24287.70 24584.42 247
OpenMVScopyleft76.72 1381.98 17482.00 16981.93 18384.42 23268.22 15588.50 7089.48 15966.92 20581.80 20991.86 12772.59 19390.16 19971.19 17091.25 19987.40 219
OpenMVS_ROBcopyleft70.19 1777.77 20677.46 20578.71 22484.39 23361.15 23081.18 21382.52 23062.45 24383.34 19587.37 21966.20 22288.66 21764.69 21885.02 26986.32 228
Regformer-385.06 11184.67 12486.22 9484.27 23473.43 11084.07 13485.26 21480.77 6388.62 12085.48 23780.56 9990.39 19381.99 7591.04 20394.85 79
Regformer-486.41 8885.71 10388.52 6184.27 23477.57 8184.07 13488.00 17882.82 4289.84 9285.48 23782.06 7992.77 13383.83 5591.04 20395.22 74
DELS-MVS81.44 17681.25 17782.03 18284.27 23462.87 19976.47 25892.49 7070.97 17781.64 21183.83 25975.03 14692.70 13474.29 14292.22 19390.51 183
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
Gipumacopyleft84.44 12586.33 9278.78 22284.20 23773.57 10989.55 5190.44 12984.24 2984.38 18194.89 5176.35 13980.40 27676.14 13396.80 7482.36 272
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
Regformer-186.00 9785.50 10787.49 7684.18 23876.90 8983.52 15387.94 18082.18 5089.19 11085.07 24782.28 7791.89 15282.40 7192.72 18493.69 111
Regformer-286.74 8386.08 9888.73 5984.18 23879.20 6983.52 15389.33 16183.33 3589.92 9085.07 24783.23 6693.16 11983.39 5792.72 18493.83 103
EI-MVSNet-Vis-set85.12 11084.53 13186.88 8184.01 24072.76 11483.91 14185.18 21680.44 6488.75 11785.49 23680.08 10291.92 15082.02 7490.85 20995.97 49
semantic-postprocess84.34 13583.93 24169.66 14381.09 24172.43 15886.47 15690.19 18057.56 25993.15 12177.45 12486.39 25790.22 188
MSDG80.06 19579.99 19380.25 20783.91 24268.04 15677.51 24989.19 16277.65 10181.94 20683.45 26376.37 13886.31 23963.31 22786.59 25486.41 227
EI-MVSNet-UG-set85.04 11284.44 13386.85 8283.87 24372.52 11783.82 14385.15 21780.27 6888.75 11785.45 24079.95 10491.90 15181.92 7690.80 21096.13 43
USDC76.63 21676.73 21076.34 24683.46 24457.20 25680.02 22188.04 17752.14 29283.65 19291.25 14363.24 23486.65 23654.66 27394.11 15385.17 239
HY-MVS64.64 1873.03 24072.47 24474.71 25583.36 24554.19 27382.14 19681.96 23456.76 27069.57 29086.21 23160.03 24484.83 25549.58 29082.65 28585.11 240
EI-MVSNet82.61 16382.42 16383.20 16583.25 24663.66 18383.50 15685.07 21876.06 11786.55 15085.10 24573.41 17490.25 19478.15 11990.67 21395.68 58
CVMVSNet72.62 24371.41 25076.28 24783.25 24660.34 23883.50 15679.02 25037.77 32676.33 24885.10 24549.60 28587.41 22670.54 17777.54 30681.08 293
V4283.47 15483.37 15183.75 14983.16 24863.33 18981.31 20990.23 14469.51 18790.91 7490.81 16574.16 15892.29 14380.06 9990.22 21895.62 60
EU-MVSNet75.12 22774.43 22977.18 23883.11 24959.48 24385.71 11482.43 23139.76 32585.64 16488.76 20044.71 30787.88 22273.86 14985.88 26084.16 250
FMVSNet378.80 20078.55 20079.57 21682.89 25056.89 25981.76 20185.77 20869.04 19186.00 15990.44 17551.75 28090.09 20365.95 21093.34 16991.72 157
MVS_dtu76.84 21475.19 22281.80 19182.87 25162.54 20882.78 17785.63 21065.12 22364.44 31082.73 27355.61 26992.24 14467.42 20190.13 21990.61 179
test123567865.57 28265.73 27965.06 29482.84 25250.90 29562.90 30669.26 29857.17 26872.36 27683.04 26646.02 29570.10 29932.79 32485.24 26774.19 307
MVS_Test82.47 16683.22 15280.22 20882.62 25357.75 25382.54 18391.96 8371.16 17582.89 19892.52 11677.41 12390.50 19180.04 10087.84 24392.40 140
LF4IMVS82.75 16281.93 17085.19 11282.08 25480.15 6185.53 11588.76 16668.01 19685.58 16587.75 21471.80 20286.85 23374.02 14693.87 15988.58 206
PVSNet58.17 2166.41 27865.63 28068.75 28181.96 25549.88 30162.19 30872.51 28351.03 30068.04 29575.34 31050.84 28174.77 29045.82 30482.96 28181.60 285
GA-MVS75.83 22474.61 22579.48 21881.87 25659.25 24573.42 27982.88 22968.68 19379.75 23081.80 28250.62 28289.46 20766.85 20585.64 26289.72 194
MS-PatchMatch70.93 25470.22 25773.06 26381.85 25762.50 20973.82 27777.90 25252.44 28975.92 25381.27 28655.67 26881.75 27155.37 26977.70 30474.94 305
Patchmatch-test172.75 24272.61 24173.19 26181.62 25855.86 26478.89 23671.37 29261.73 24774.93 26282.15 27860.46 24181.80 27059.68 24782.63 28781.92 280
FMVSNet572.10 24771.69 24873.32 25981.57 25953.02 28276.77 25378.37 25163.31 23476.37 24791.85 12836.68 32178.98 28047.87 29792.45 18887.95 213
ANet_high83.17 15985.68 10475.65 25181.24 26045.26 31079.94 22292.91 5683.83 3391.33 6896.88 1080.25 10185.92 24368.89 18995.89 10795.76 53
new-patchmatchnet70.10 26073.37 23460.29 30681.23 26116.95 33359.54 31274.62 27162.93 23780.97 21687.93 21262.83 23571.90 29655.24 27095.01 13292.00 150
test20.0373.75 23774.59 22771.22 27281.11 26251.12 29370.15 28972.10 28570.42 18080.28 22891.50 13964.21 22874.72 29246.96 30194.58 14787.82 216
MVS73.21 23972.59 24275.06 25380.97 26360.81 23581.64 20485.92 20746.03 31671.68 28077.54 30068.47 21589.77 20555.70 26685.39 26374.60 306
N_pmnet70.20 25868.80 26574.38 25680.91 26484.81 3559.12 31576.45 26255.06 27575.31 26082.36 27755.74 26754.82 32747.02 30087.24 24983.52 255
IterMVS76.91 21376.34 21378.64 22580.91 26464.03 17976.30 25979.03 24964.88 22883.11 19689.16 19559.90 24684.46 25768.61 19385.15 26887.42 218
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
WTY-MVS67.91 27268.35 26766.58 28980.82 26648.12 30465.96 30272.60 28153.67 28271.20 28381.68 28458.97 25269.06 30448.57 29381.67 28982.55 268
IB-MVS62.13 1971.64 24968.97 26379.66 21580.80 26762.26 21773.94 27576.90 25863.27 23568.63 29376.79 30433.83 32491.84 15359.28 25087.26 24884.88 242
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
MVS_test032676.19 22274.70 22480.65 20580.68 26861.16 22981.77 20085.93 20665.03 22663.13 31281.14 28857.18 26391.80 15667.65 20089.79 22288.99 204
testgi72.36 24574.61 22565.59 29180.56 26942.82 31868.29 29373.35 27866.87 20681.84 20889.93 18472.08 19966.92 31046.05 30392.54 18787.01 223
131473.22 23872.56 24375.20 25280.41 27057.84 25181.64 20485.36 21351.68 29573.10 27276.65 30561.45 23885.19 25063.54 22479.21 30182.59 267
CR-MVSNet74.00 23573.04 23776.85 24279.58 27162.64 20282.58 18076.90 25850.50 30575.72 25592.38 11748.07 28984.07 25968.72 19282.91 28383.85 251
RPMNet76.06 22375.79 21676.85 24279.58 27162.64 20282.58 18071.75 29074.80 13075.72 25592.59 11248.69 28784.07 25973.48 15382.91 28383.85 251
UnsupCasMVSNet_bld69.21 26869.68 26067.82 28579.42 27351.15 29267.82 29775.79 26354.15 27977.47 24385.36 24459.26 25170.64 29848.46 29479.35 29981.66 284
PatchT70.52 25672.76 23963.79 29779.38 27433.53 32677.63 24765.37 31173.61 14171.77 27992.79 11044.38 30875.65 28964.53 22185.37 26482.18 275
Patchmtry76.56 21877.46 20573.83 25879.37 27546.60 30782.41 18576.90 25873.81 14085.56 16692.38 11748.07 28983.98 26163.36 22695.31 12390.92 169
mvs_anonymous78.13 20378.76 19876.23 24879.24 27650.31 29978.69 23884.82 22361.60 25083.09 19792.82 10773.89 16487.01 22968.33 19586.41 25691.37 164
MVS-HIRNet61.16 29362.92 28855.87 31079.09 27735.34 32571.83 28357.98 32546.56 31459.05 32291.14 15049.95 28476.43 28538.74 31671.92 31655.84 324
MDA-MVSNet-bldmvs77.47 20776.90 20879.16 21979.03 27864.59 17466.58 30175.67 26573.15 15188.86 11488.99 19866.94 21981.23 27364.71 21788.22 23991.64 159
tpm268.45 27066.83 27473.30 26078.93 27948.50 30279.76 22371.76 28947.50 31269.92 28983.60 26042.07 31488.40 21848.44 29579.51 29783.01 265
testus62.33 28763.03 28760.20 30778.78 28040.74 31959.14 31369.80 29749.26 30971.41 28174.72 31252.33 27963.52 31929.84 32682.01 28876.36 302
tpm67.95 27168.08 27067.55 28678.74 28143.53 31675.60 26467.10 30854.92 27672.23 27788.10 20842.87 31275.97 28752.21 28180.95 29583.15 263
diffmvs79.20 19879.04 19679.69 21378.64 28258.90 24681.79 19987.61 18365.07 22573.65 27089.80 18673.10 18487.79 22375.02 14086.63 25392.38 141
tpmp4_e2369.43 26567.33 27275.72 25078.53 28352.75 28382.13 19774.91 26849.23 31066.37 29984.17 25741.28 31588.67 21649.73 28979.63 29685.75 235
no-one71.52 25170.43 25674.81 25478.45 28463.41 18657.73 31877.03 25751.46 29877.17 24490.33 17754.96 27480.35 27747.41 29899.29 280.68 297
111161.71 28963.77 28555.55 31278.05 28525.74 33060.62 30967.52 30166.09 21174.68 26386.50 22616.00 33659.22 32538.79 31485.65 26181.70 282
.test124548.02 30654.41 30528.84 31978.05 28525.74 33060.62 30967.52 30166.09 21174.68 26386.50 22616.00 33659.22 32538.79 3141.47 3311.55 330
MDTV_nov1_ep1368.29 26978.03 28743.87 31574.12 27472.22 28452.17 29067.02 29885.54 23545.36 30180.85 27455.73 26484.42 275
EPNet_dtu72.87 24171.33 25177.49 23777.72 28860.55 23782.35 18775.79 26366.49 20858.39 32581.06 28953.68 27685.98 24253.55 27792.97 18185.95 232
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PatchmatchNetpermissive69.71 26468.83 26472.33 26877.66 28953.60 27779.29 23169.99 29657.66 26472.53 27582.93 27046.45 29380.08 27960.91 24172.09 31583.31 261
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
sss66.92 27567.26 27365.90 29077.23 29051.10 29464.79 30371.72 29152.12 29370.13 28880.18 29157.96 25665.36 31750.21 28581.01 29481.25 290
CostFormer69.98 26368.68 26673.87 25777.14 29150.72 29779.26 23274.51 27351.94 29470.97 28584.75 25245.16 30587.49 22555.16 27179.23 30083.40 258
tpm cat166.76 27665.21 28171.42 27177.09 29250.62 29878.01 24273.68 27644.89 31868.64 29179.00 29645.51 29982.42 26949.91 28770.15 31981.23 292
pmmvs570.73 25570.07 25872.72 26577.03 29352.73 28474.14 27375.65 26650.36 30672.17 27885.37 24355.42 27180.67 27552.86 28087.59 24684.77 243
EPNet80.37 18978.41 20186.23 9376.75 29473.28 11187.18 8877.45 25576.24 11668.14 29488.93 19965.41 22693.85 7769.47 18396.12 9891.55 162
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 280x42059.08 29756.52 30266.76 28876.51 29564.39 17749.62 32559.00 32143.86 32055.66 32868.41 32035.55 32368.21 30643.25 30776.78 30867.69 316
UnsupCasMVSNet_eth71.63 25072.30 24569.62 27676.47 29652.70 28570.03 29080.97 24259.18 25979.36 23488.21 20760.50 24069.12 30358.33 25477.62 30587.04 222
test-LLR67.21 27466.74 27568.63 28276.45 29755.21 26867.89 29467.14 30662.43 24465.08 30672.39 31443.41 30969.37 30061.00 23984.89 27081.31 288
test-mter65.00 28363.79 28468.63 28276.45 29755.21 26867.89 29467.14 30650.98 30165.08 30672.39 31428.27 33169.37 30061.00 23984.89 27081.31 288
gg-mvs-nofinetune68.96 26969.11 26268.52 28476.12 29945.32 30983.59 14955.88 32686.68 2064.62 30997.01 730.36 32883.97 26244.78 30582.94 28276.26 303
CMPMVSbinary59.41 2075.12 22773.57 23279.77 21075.84 30067.22 15981.21 21282.18 23250.78 30276.50 24687.66 21655.20 27282.99 26662.17 23190.64 21689.09 200
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test1235654.91 30357.14 30148.22 31675.83 30117.47 33252.31 32469.20 29951.66 29660.11 31875.40 30929.77 33062.62 32327.64 32772.37 31464.59 317
PNet_i23d52.13 30451.24 30654.79 31375.56 30245.26 31054.54 32152.55 32966.95 20457.19 32665.82 32313.15 33863.40 32036.39 32039.04 32955.71 325
wuyk23d75.13 22679.30 19562.63 29875.56 30275.18 10280.89 21573.10 27975.06 12994.76 1595.32 4087.73 3152.85 32834.16 32297.11 6459.85 321
Patchmatch-test65.91 28067.38 27161.48 30375.51 30443.21 31768.84 29163.79 31362.48 24272.80 27483.42 26444.89 30659.52 32448.27 29686.45 25581.70 282
new_pmnet55.69 30157.66 30049.76 31475.47 30530.59 32759.56 31151.45 33043.62 32162.49 31375.48 30840.96 31749.15 33037.39 31872.52 31369.55 314
gm-plane-assit75.42 30644.97 31352.17 29072.36 31687.90 22154.10 275
PatchFormer-LS_test67.91 27266.49 27872.17 26975.29 30751.85 28975.68 26273.62 27757.23 26768.64 29168.13 32242.19 31382.76 26764.06 22273.51 31281.89 281
MVSTER77.09 21175.70 21981.25 19775.27 30861.08 23177.49 25085.07 21860.78 25486.55 15088.68 20243.14 31190.25 19473.69 15090.67 21392.42 138
PVSNet_051.08 2256.10 30054.97 30459.48 30875.12 30953.28 28155.16 31961.89 31644.30 31959.16 32162.48 32654.22 27565.91 31535.40 32147.01 32759.25 322
test0.0.03 164.66 28464.36 28365.57 29275.03 31046.89 30664.69 30461.58 31962.43 24471.18 28477.54 30043.41 30968.47 30540.75 31282.65 28581.35 287
DWT-MVSNet_test66.43 27764.37 28272.63 26674.86 31150.86 29676.52 25672.74 28054.06 28065.50 30368.30 32132.13 32684.84 25461.63 23673.59 31182.19 274
tpmvs70.16 25969.56 26171.96 27074.71 31248.13 30379.63 22475.45 26765.02 22770.26 28781.88 28145.34 30285.68 24658.34 25375.39 30982.08 276
MDA-MVSNet_test_wron70.05 26270.44 25468.88 28073.84 31353.47 27858.93 31767.28 30458.43 26087.09 14285.40 24159.80 24867.25 30859.66 24883.54 27885.92 233
YYNet170.06 26170.44 25468.90 27973.76 31453.42 28058.99 31667.20 30558.42 26187.10 14185.39 24259.82 24767.32 30759.79 24683.50 27985.96 231
GG-mvs-BLEND67.16 28773.36 31546.54 30884.15 13355.04 32758.64 32461.95 32729.93 32983.87 26338.71 31776.92 30771.07 312
test235656.69 29955.15 30361.32 30473.20 31644.11 31454.95 32062.52 31448.75 31162.45 31468.42 31921.10 33565.67 31626.86 32878.08 30374.19 307
JIA-IIPM69.41 26766.64 27777.70 23673.19 31771.24 13575.67 26365.56 31070.42 18065.18 30592.97 10333.64 32583.06 26553.52 27869.61 32278.79 299
ADS-MVSNet265.87 28163.64 28672.55 26773.16 31856.92 25867.10 29974.81 27049.74 30766.04 30182.97 26846.71 29177.26 28242.29 30869.96 32083.46 256
ADS-MVSNet61.90 28862.19 29061.03 30573.16 31836.42 32467.10 29961.75 31749.74 30766.04 30182.97 26846.71 29163.21 32142.29 30869.96 32083.46 256
DSMNet-mixed60.98 29561.61 29259.09 30972.88 32045.05 31274.70 27046.61 33226.20 32865.34 30490.32 17855.46 27063.12 32241.72 31081.30 29369.09 315
tpmrst66.28 27966.69 27665.05 29572.82 32139.33 32178.20 24170.69 29453.16 28567.88 29680.36 29048.18 28874.75 29158.13 25570.79 31781.08 293
TESTMET0.1,161.29 29260.32 29664.19 29672.06 32251.30 29067.89 29462.09 31545.27 31760.65 31769.01 31727.93 33264.74 31856.31 26281.65 29176.53 301
dp60.70 29660.29 29761.92 30172.04 32338.67 32370.83 28564.08 31251.28 29960.75 31677.28 30236.59 32271.58 29747.41 29862.34 32675.52 304
pmmvs362.47 28560.02 29869.80 27471.58 32464.00 18070.52 28758.44 32339.77 32466.05 30075.84 30727.10 33372.28 29446.15 30284.77 27473.11 309
LP69.42 26668.30 26872.77 26471.48 32556.84 26073.66 27874.84 26963.52 23270.95 28683.35 26549.55 28677.15 28457.13 25970.21 31884.33 248
EPMVS62.47 28562.63 28962.01 29970.63 32638.74 32274.76 26952.86 32853.91 28167.71 29780.01 29239.40 31966.60 31255.54 26868.81 32480.68 297
E-PMN61.59 29161.62 29161.49 30266.81 32755.40 26753.77 32260.34 32066.80 20758.90 32365.50 32440.48 31866.12 31455.72 26586.25 25862.95 319
testpf58.55 29861.58 29349.48 31566.03 32840.05 32074.40 27258.07 32464.72 22959.36 32072.67 31322.76 33466.92 31067.07 20369.15 32341.46 326
EMVS61.10 29460.81 29461.99 30065.96 32955.86 26453.10 32358.97 32267.06 20356.89 32763.33 32540.98 31667.03 30954.79 27286.18 25963.08 318
PMMVS61.65 29060.38 29565.47 29365.40 33069.26 14763.97 30561.73 31836.80 32760.11 31868.43 31859.42 24966.35 31348.97 29278.57 30260.81 320
PMMVS255.64 30259.27 29944.74 31764.30 33112.32 33440.60 32649.79 33153.19 28465.06 30884.81 25153.60 27749.76 32932.68 32589.41 22472.15 310
MVEpermissive40.22 2351.82 30550.47 30755.87 31062.66 33251.91 28831.61 32839.28 33340.65 32350.76 32974.98 31156.24 26544.67 33133.94 32364.11 32571.04 313
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DeepMVS_CXcopyleft24.13 32032.95 33329.49 32821.63 33612.07 32937.95 33045.07 32830.84 32719.21 33217.94 33033.06 33023.69 327
tmp_tt20.25 30924.50 3107.49 3214.47 3348.70 33534.17 32725.16 3351.00 33032.43 33118.49 32939.37 3209.21 33321.64 32943.75 3284.57 328
testmvs5.91 3137.65 3140.72 3231.20 3350.37 33759.14 3130.67 3380.49 3321.11 3322.76 3330.94 3400.24 3351.02 3321.47 3311.55 330
test1236.27 3128.08 3130.84 3221.11 3360.57 33662.90 3060.82 3370.54 3311.07 3332.75 3341.26 3390.30 3341.04 3311.26 3331.66 329
cdsmvs_eth3d_5k20.81 30827.75 3090.00 3240.00 3370.00 3380.00 32985.44 2120.00 3330.00 33482.82 27181.46 900.00 3360.00 3330.00 3340.00 332
pcd_1.5k_mvsjas6.41 3118.55 3120.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 33576.94 1300.00 3360.00 3330.00 3340.00 332
sosnet-low-res0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
sosnet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
uncertanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
Regformer0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
ab-mvs-re6.65 3108.87 3110.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 33479.80 2940.00 3410.00 3360.00 3330.00 3340.00 332
uanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
sam_mvs146.11 294
sam_mvs45.92 297
MTGPAbinary91.81 87
test_post178.85 2373.13 33145.19 30480.13 27858.11 256
test_post3.10 33245.43 30077.22 283
patchmatchnet-post81.71 28345.93 29687.01 229
MTMP33.14 334
test9_res80.83 8796.45 8590.57 180
agg_prior279.68 10496.16 9490.22 188
test_prior478.97 7184.59 127
test_prior283.37 16075.43 12684.58 17791.57 13681.92 8579.54 10696.97 67
旧先验281.73 20256.88 26986.54 15584.90 25372.81 161
新几何281.72 203
无先验82.81 17385.62 21158.09 26291.41 16767.95 19884.48 245
原ACMM282.26 192
testdata286.43 23863.52 225
segment_acmp81.94 82
testdata179.62 22573.95 139
plane_prior593.61 3095.22 3680.78 8895.83 11094.46 86
plane_prior492.95 104
plane_prior376.85 9077.79 9986.55 150
plane_prior289.45 5679.44 77
plane_prior76.42 9587.15 8975.94 12195.03 131
n20.00 339
nn0.00 339
door-mid74.45 274
test1191.46 101
door72.57 282
HQP5-MVS70.66 138
BP-MVS77.30 126
HQP4-MVS80.56 22394.61 5293.56 116
HQP3-MVS92.68 6494.47 149
HQP2-MVS72.10 197
MDTV_nov1_ep13_2view27.60 32970.76 28646.47 31561.27 31545.20 30349.18 29183.75 253
ACMMP++_ref95.74 114
ACMMP++97.35 58
Test By Simon79.09 108