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 bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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
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-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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
#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
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
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_prior289.45 5679.44 77
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
plane_prior76.42 9587.15 8975.94 12195.03 131
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
test_prior478.97 7184.59 127
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
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
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
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
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
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
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
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
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
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
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
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
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
test_892.09 8778.87 7283.82 14390.31 13565.79 21484.36 18290.96 16081.93 8393.44 106
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
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
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
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
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
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
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
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
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
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
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
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
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_prior283.37 16075.43 12684.58 17791.57 13681.92 8579.54 10696.97 67
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
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
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.
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
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
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
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
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
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
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
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
无先验82.81 17385.62 21158.09 26291.41 16767.95 19884.48 245
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
原ACMM282.26 192
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
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
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
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
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
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
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
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
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
旧先验281.73 20256.88 26986.54 15584.90 25372.81 161
新几何281.72 203
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
testdata179.62 22573.95 139
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
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
test22293.31 5576.54 9279.38 23077.79 25352.59 28782.36 20190.84 16466.83 22091.69 19681.25 290
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.
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
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
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
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
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
test_post178.85 2373.13 33145.19 30480.13 27858.11 256
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
MDTV_nov1_ep13_2view27.60 32970.76 28646.47 31561.27 31545.20 30349.18 29183.75 253
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
MTGPAbinary91.81 87
test_post3.10 33245.43 30077.22 283
patchmatchnet-post81.71 28345.93 29687.01 229
MTMP33.14 334
gm-plane-assit75.42 30644.97 31352.17 29072.36 31687.90 22154.10 275
test9_res80.83 8796.45 8590.57 180
agg_prior279.68 10496.16 9490.22 188
agg_prior91.58 10177.69 7990.30 13784.32 18393.18 117
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
test_prior86.32 9090.59 12571.99 12692.85 5894.17 6592.80 130
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
旧先验191.97 9071.77 12881.78 23791.84 12973.92 16393.65 16783.61 254
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
testdata286.43 23863.52 225
segment_acmp81.94 82
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
test1286.57 8590.74 12272.63 11590.69 12282.76 19979.20 10794.80 4895.32 12192.27 145
plane_prior793.45 5177.31 85
plane_prior692.61 7176.54 9274.84 150
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_prior192.83 69
n20.00 339
nn0.00 339
door-mid74.45 274
lessismore_v085.95 10191.10 11670.99 13770.91 29391.79 6094.42 6761.76 23792.93 12979.52 10893.03 17993.93 102
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
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
NP-MVS91.95 9174.55 10490.17 182
ACMMP++_ref95.74 114
ACMMP++97.35 58
Test By Simon79.09 108
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
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