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
MCST-MVS91.08 191.46 289.94 297.66 273.37 797.13 195.58 289.33 185.77 2396.26 772.84 999.38 192.64 395.93 497.08 4
DELS-MVS90.05 490.09 589.94 293.14 4973.88 697.01 294.40 2888.32 285.71 2494.91 4474.11 798.91 587.26 2595.94 397.03 5
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
DeepPCF-MVS81.17 189.72 591.38 384.72 10393.00 5158.16 24496.72 394.41 2686.50 590.25 497.83 175.46 598.67 1192.78 295.49 797.32 1
lupinMVS87.74 1587.77 1487.63 2189.24 12071.18 1496.57 492.90 7482.70 1687.13 1695.27 2964.99 4895.80 10689.34 1191.80 5195.93 23
MVS_030589.30 789.66 788.24 1394.37 2468.90 4296.56 593.37 5486.96 490.37 395.68 1762.66 7099.01 393.05 193.92 2596.80 7
CNVR-MVS90.32 390.89 488.61 1196.76 470.65 1896.47 694.83 1384.83 889.07 796.80 270.86 1499.06 292.64 395.71 596.12 17
NCCC89.07 889.46 887.91 1596.60 569.05 3896.38 794.64 2084.42 1086.74 1996.20 866.56 3598.76 1089.03 1594.56 1895.92 24
PVSNet_Blended86.73 3086.86 2686.31 5893.76 3567.53 7196.33 893.61 4282.34 1881.00 5793.08 7863.19 6697.29 5187.08 2691.38 5894.13 80
SteuartSystems-ACMMP86.82 2986.90 2586.58 4590.42 9966.38 11896.09 993.87 3377.73 6084.01 4295.66 1863.39 6397.94 2687.40 2493.55 3295.42 31
Skip Steuart: Steuart Systems R&D Blog.
PS-MVSNAJ88.14 987.61 1689.71 492.06 6876.72 195.75 1093.26 5883.86 1189.55 596.06 1153.55 15897.89 2991.10 593.31 3494.54 65
xiu_mvs_v2_base87.92 1387.38 2189.55 791.41 8776.43 295.74 1193.12 6683.53 1389.55 595.95 1253.45 16397.68 3191.07 692.62 4194.54 65
DeepC-MVS_fast79.48 287.95 1288.00 1287.79 1895.86 1268.32 5495.74 1194.11 3183.82 1283.49 4496.19 964.53 5298.44 1683.42 5094.88 1296.61 10
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
VNet86.20 3485.65 3987.84 1793.92 3469.99 2595.73 1395.94 178.43 5386.00 2193.07 8058.22 9597.00 6785.22 3884.33 11196.52 13
jason86.40 3186.17 3187.11 3286.16 17070.54 2095.71 1492.19 9982.00 2484.58 3494.34 5961.86 7695.53 12187.76 2190.89 6395.27 39
jason: jason.
alignmvs87.28 1986.97 2488.24 1391.30 8871.14 1695.61 1593.56 4479.30 3887.07 1895.25 3168.43 1996.93 7787.87 2084.33 11196.65 9
IB-MVS77.80 482.18 8380.46 9487.35 2689.14 12270.28 2295.59 1695.17 678.85 4770.19 15385.82 16270.66 1697.67 3272.19 12266.52 21694.09 83
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
CLD-MVS82.73 7582.35 7383.86 11887.90 14867.65 6895.45 1792.18 10085.06 672.58 13192.27 9852.46 17195.78 10784.18 4379.06 14188.16 175
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
VDD-MVS83.06 7281.81 7886.81 3790.86 9567.70 6695.40 1891.50 12375.46 8681.78 5292.34 9740.09 24797.13 6086.85 2982.04 12695.60 28
PHI-MVS86.83 2886.85 2786.78 3993.47 4365.55 13495.39 1995.10 971.77 15885.69 2596.52 362.07 7498.77 986.06 3395.60 696.03 20
EPNet87.84 1488.38 1086.23 6093.30 4466.05 12595.26 2094.84 1287.09 388.06 1094.53 5166.79 3397.34 4983.89 4791.68 5395.29 37
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HPM-MVS++89.37 689.95 687.64 1995.10 1768.23 5895.24 2194.49 2382.43 1788.90 896.35 571.89 1398.63 1288.76 1796.40 296.06 18
WTY-MVS86.32 3285.81 3587.85 1692.82 5669.37 3595.20 2295.25 582.71 1581.91 5194.73 4867.93 2697.63 3779.55 7282.25 12496.54 12
3Dnovator+73.60 782.10 8780.60 9286.60 4390.89 9466.80 9995.20 2293.44 5074.05 10967.42 19292.49 9249.46 19497.65 3670.80 13591.68 5395.33 34
TSAR-MVS + GP.87.96 1188.37 1186.70 4093.51 4265.32 13795.15 2493.84 3478.17 5585.93 2294.80 4775.80 498.21 2089.38 1088.78 7596.59 11
DP-MVS Recon82.73 7581.65 8085.98 6597.31 367.06 8495.15 2491.99 10469.08 19276.50 10193.89 6754.48 14798.20 2170.76 13685.66 10092.69 121
test_prior387.38 1887.70 1586.42 5294.71 2167.35 7595.10 2693.10 6775.40 8985.25 3095.61 2067.94 2496.84 7987.47 2294.77 1395.05 49
test_prior295.10 2675.40 8985.25 3095.61 2067.94 2487.47 2294.77 13
MSLP-MVS++86.27 3385.91 3487.35 2692.01 6968.97 4195.04 2892.70 7879.04 4681.50 5496.50 458.98 9296.78 8183.49 4993.93 2496.29 15
LFMVS84.34 5482.73 6989.18 894.76 1973.25 894.99 2991.89 10871.90 14982.16 5093.49 7347.98 20997.05 6282.55 5484.82 10497.25 2
MG-MVS87.11 2286.27 2889.62 597.79 176.27 394.96 3094.49 2378.74 5183.87 4392.94 8364.34 5396.94 7475.19 10094.09 2295.66 26
APDe-MVS87.54 1687.84 1386.65 4196.07 966.30 12194.84 3193.78 3569.35 18988.39 996.34 667.74 2897.66 3590.62 893.44 3396.01 21
CP-MVS83.71 6583.40 5884.65 10493.14 4963.84 16694.59 3292.28 9171.03 17077.41 9194.92 4355.21 13096.19 9381.32 6590.70 6593.91 92
VDDNet80.50 10478.26 12287.21 2886.19 16969.79 2994.48 3391.31 13060.42 25779.34 7190.91 11138.48 25396.56 8982.16 5581.05 13095.27 39
MAR-MVS84.18 5683.43 5686.44 5196.25 765.93 12894.28 3494.27 3074.41 9979.16 7495.61 2053.99 15398.88 869.62 14493.26 3594.50 68
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
TEST994.18 2767.28 7794.16 3593.51 4671.75 15985.52 2695.33 2568.01 2397.27 53
train_agg87.21 2187.42 2086.60 4394.18 2767.28 7794.16 3593.51 4671.87 15185.52 2695.33 2568.19 2197.27 5389.09 1294.90 1095.25 42
test_894.19 2667.19 7994.15 3793.42 5171.87 15185.38 2895.35 2468.19 2196.95 73
agg_prior386.93 2587.08 2386.48 4994.21 2566.95 8994.14 3893.40 5271.80 15684.86 3295.13 3566.16 3797.25 5589.09 1294.90 1095.25 42
Fast-Effi-MVS+81.14 9680.01 9684.51 10990.24 10265.86 12994.12 3989.15 20473.81 11775.37 10988.26 14057.26 10394.53 14266.97 16584.92 10393.15 110
#test#84.98 4684.74 4585.72 7493.75 3765.01 14694.09 4093.19 6273.55 12379.22 7294.93 4159.04 9097.67 3282.66 5392.21 4594.49 69
agg_prior187.02 2387.26 2286.28 5994.16 3166.97 8794.08 4193.31 5671.85 15384.49 3595.39 2368.91 1796.75 8388.84 1694.32 2095.13 46
HQP-NCC87.54 15194.06 4279.80 3374.18 115
ACMP_Plane87.54 15194.06 4279.80 3374.18 115
PVSNet_BlendedMVS83.38 6783.43 5683.22 13093.76 3567.53 7194.06 4293.61 4279.13 4381.00 5785.14 16863.19 6697.29 5187.08 2673.91 17184.83 229
HQP-MVS81.14 9680.64 9182.64 14087.54 15163.66 17494.06 4291.70 11679.80 3374.18 11590.30 12051.63 17895.61 11677.63 8678.90 14288.63 167
MVS_111021_HR86.19 3585.80 3687.37 2593.17 4869.79 2993.99 4693.76 3779.08 4578.88 7693.99 6562.25 7398.15 2385.93 3491.15 6194.15 79
mvs-test178.74 13777.95 12781.14 17883.22 20457.13 25493.96 4787.78 23175.42 8772.68 12890.80 11345.08 22894.54 14175.08 10277.49 15391.74 138
Regformer-187.24 2087.60 1786.15 6195.14 1565.83 13193.95 4895.12 782.11 2184.25 3795.73 1567.88 2798.35 1885.60 3588.64 7694.26 72
Regformer-287.00 2487.43 1985.71 7695.14 1564.73 14993.95 4894.95 1081.69 2684.03 4195.73 1567.35 3198.19 2285.40 3788.64 7694.20 74
VPNet78.82 13477.53 13482.70 13784.52 18866.44 11793.93 5092.23 9380.46 3072.60 13088.38 13749.18 19793.13 18972.47 11863.97 23988.55 169
test_prior467.18 8193.92 51
SD-MVS87.49 1787.49 1887.50 2393.60 3968.82 4593.90 5292.63 8376.86 7187.90 1295.76 1466.17 3697.63 3789.06 1491.48 5796.05 19
CDPH-MVS85.71 4085.46 4086.46 5094.75 2067.19 7993.89 5392.83 7670.90 17283.09 4695.28 2863.62 6097.36 4780.63 6794.18 2194.84 57
plane_prior62.42 19293.85 5479.38 3778.80 144
CSCG86.87 2686.26 2988.72 995.05 1870.79 1793.83 5595.33 468.48 20277.63 8894.35 5873.04 898.45 1584.92 4093.71 2996.92 6
PVSNet_Blended_VisFu83.97 5883.50 5385.39 8590.02 10466.59 11193.77 5691.73 11377.43 6677.08 9789.81 12763.77 5996.97 7179.67 7188.21 7992.60 124
TR-MVS78.77 13677.37 13782.95 13390.49 9860.88 20693.67 5790.07 17270.08 18374.51 11491.37 10845.69 22495.70 11560.12 22080.32 13392.29 131
API-MVS82.28 8280.53 9387.54 2296.13 870.59 1993.63 5891.04 14065.72 22475.45 10892.83 8756.11 12198.89 764.10 19189.75 7293.15 110
BH-w/o80.49 10579.30 11184.05 11690.83 9664.36 15893.60 5989.42 19474.35 10469.09 17190.15 12255.23 12995.61 11664.61 18686.43 9592.17 134
APD-MVScopyleft85.93 3785.99 3285.76 7395.98 1165.21 13993.59 6092.58 8566.54 21786.17 2095.88 1363.83 5797.00 6786.39 3192.94 3795.06 48
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BH-RMVSNet79.46 12577.65 13184.89 9791.68 7865.66 13293.55 6188.09 22772.93 13173.37 12391.12 11046.20 22396.12 9656.28 23585.61 10192.91 118
canonicalmvs86.85 2786.25 3088.66 1091.80 7571.92 1093.54 6291.71 11580.26 3187.55 1495.25 3163.59 6296.93 7788.18 1884.34 11097.11 3
HFP-MVS84.73 4884.40 4885.72 7493.75 3765.01 14693.50 6393.19 6272.19 14379.22 7294.93 4159.04 9097.67 3281.55 6192.21 4594.49 69
ACMMPR84.37 5284.06 4985.28 8893.56 4064.37 15793.50 6393.15 6572.19 14378.85 7894.86 4556.69 11497.45 4381.55 6192.20 4794.02 88
Vis-MVSNetpermissive80.92 10079.98 9883.74 12088.48 13561.80 19993.44 6588.26 22673.96 11377.73 8591.76 10449.94 18994.76 13265.84 17790.37 6994.65 61
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
region2R84.36 5384.03 5085.36 8693.54 4164.31 15993.43 6692.95 7272.16 14678.86 7794.84 4656.97 10897.53 4181.38 6492.11 4994.24 73
QAPM79.95 11677.39 13687.64 1989.63 11171.41 1293.30 6793.70 3965.34 22767.39 19491.75 10547.83 21098.96 457.71 23189.81 7192.54 126
MP-MVScopyleft85.02 4584.97 4485.17 9292.60 6064.27 16293.24 6892.27 9273.13 12779.63 6994.43 5261.90 7597.17 5785.00 3992.56 4294.06 86
nrg03080.93 9979.86 9984.13 11483.69 20068.83 4493.23 6991.20 13375.55 8575.06 11188.22 14163.04 6994.74 13481.88 5866.88 21388.82 165
VPA-MVSNet79.03 12978.00 12682.11 16485.95 17364.48 15193.22 7094.66 1975.05 9574.04 12084.95 17052.17 17393.52 18474.90 10767.04 21288.32 174
HQP_MVS80.34 10779.75 10182.12 16186.94 15962.42 19293.13 7191.31 13078.81 4972.53 13289.14 13150.66 18295.55 11976.74 8978.53 14588.39 172
plane_prior293.13 7178.81 49
HSP-MVS90.38 291.89 185.84 6992.83 5464.03 16593.06 7394.52 2182.19 1993.65 196.15 1085.89 197.19 5691.02 797.75 196.29 15
EPP-MVSNet81.79 9081.52 8182.61 14188.77 13060.21 22193.02 7493.66 4168.52 20172.90 12690.39 11972.19 1194.96 12774.93 10579.29 14092.67 122
cascas78.18 14475.77 15485.41 8487.14 15769.11 3792.96 7591.15 13566.71 21670.47 14986.07 15937.49 26396.48 9070.15 14079.80 13590.65 151
Regformer-385.80 3985.92 3385.46 8094.17 2965.09 14592.95 7695.11 881.13 2781.68 5395.04 3665.82 4198.32 1983.02 5184.36 10892.97 116
Regformer-485.45 4285.69 3884.73 10194.17 2963.23 17992.95 7694.83 1380.66 2981.29 5595.04 3665.12 4698.08 2582.74 5284.36 10892.88 120
XVS83.87 6183.47 5485.05 9493.22 4563.78 16892.92 7892.66 8173.99 11078.18 8294.31 6155.25 12797.41 4479.16 7591.58 5593.95 90
X-MVStestdata76.86 16374.13 17685.05 9493.22 4563.78 16892.92 7892.66 8173.99 11078.18 8210.19 33155.25 12797.41 4479.16 7591.58 5593.95 90
114514_t79.17 12877.67 13083.68 12495.32 1465.53 13592.85 8091.60 11963.49 23667.92 18690.63 11646.65 21895.72 11467.01 16483.54 11789.79 159
mPP-MVS82.96 7482.44 7184.52 10892.83 5462.92 18592.76 8191.85 11071.52 16575.61 10694.24 6253.48 16296.99 7078.97 7890.73 6493.64 97
OpenMVScopyleft70.45 1178.54 14175.92 15286.41 5485.93 17671.68 1192.74 8292.51 8766.49 21864.56 20891.96 10043.88 23498.10 2454.61 23990.65 6689.44 163
无先验92.71 8392.61 8462.03 24797.01 6566.63 16693.97 89
test-LLR80.10 11279.56 10481.72 16986.93 16161.17 20492.70 8491.54 12071.51 16675.62 10486.94 15153.83 15492.38 21372.21 12084.76 10691.60 139
TESTMET0.1,182.41 8081.98 7683.72 12388.08 14363.74 17092.70 8493.77 3679.30 3877.61 8987.57 14658.19 9694.08 16473.91 10986.68 9093.33 105
test-mter79.96 11579.38 11081.72 16986.93 16161.17 20492.70 8491.54 12073.85 11575.62 10486.94 15149.84 19192.38 21372.21 12084.76 10691.60 139
BH-untuned78.68 13877.08 13983.48 12889.84 10863.74 17092.70 8488.59 21871.57 16366.83 19988.65 13351.75 17695.39 12259.03 22584.77 10591.32 145
AdaColmapbinary78.94 13277.00 14184.76 10096.34 665.86 12992.66 8887.97 23062.18 24670.56 14892.37 9643.53 23597.35 4864.50 18882.86 12091.05 148
WR-MVS76.76 16675.74 15579.82 20284.60 18662.27 19692.60 8992.51 8776.06 8067.87 18885.34 16556.76 11190.24 24462.20 20963.69 24186.94 192
3Dnovator73.91 682.69 7880.82 8888.31 1289.57 11271.26 1392.60 8994.39 2978.84 4867.89 18792.48 9348.42 20498.52 1468.80 15294.40 1995.15 45
xiu_mvs_v1_base_debu82.16 8481.12 8585.26 8986.42 16468.72 4692.59 9190.44 15273.12 12884.20 3894.36 5438.04 25795.73 11084.12 4486.81 8791.33 142
xiu_mvs_v1_base82.16 8481.12 8585.26 8986.42 16468.72 4692.59 9190.44 15273.12 12884.20 3894.36 5438.04 25795.73 11084.12 4486.81 8791.33 142
xiu_mvs_v1_base_debi82.16 8481.12 8585.26 8986.42 16468.72 4692.59 9190.44 15273.12 12884.20 3894.36 5438.04 25795.73 11084.12 4486.81 8791.33 142
PVSNet73.49 880.05 11378.63 11884.31 11190.92 9364.97 14892.47 9491.05 13979.18 4172.43 13690.51 11837.05 26994.06 16568.06 15486.00 9893.90 93
MVS_test032684.44 5183.92 5186.00 6491.53 8367.10 8392.43 9594.41 2684.87 788.04 1192.75 8949.47 19397.10 6175.66 9686.16 9793.79 95
PAPM85.89 3885.46 4087.18 2988.20 14272.42 992.41 9692.77 7782.11 2180.34 6293.07 8068.27 2095.02 12578.39 8293.59 3194.09 83
1112_ss80.56 10379.83 10082.77 13588.65 13160.78 20892.29 9788.36 22272.58 13672.46 13594.95 3965.09 4793.42 18666.38 17077.71 15094.10 82
UniMVSNet_NR-MVSNet78.15 14577.55 13379.98 19784.46 19060.26 21992.25 9893.20 6177.50 6468.88 17586.61 15366.10 3892.13 21966.38 17062.55 24287.54 179
sss82.71 7782.38 7283.73 12289.25 11859.58 23192.24 9994.89 1177.96 5779.86 6692.38 9556.70 11397.05 6277.26 8880.86 13294.55 63
DeepC-MVS77.85 385.52 4185.24 4286.37 5588.80 12966.64 10892.15 10093.68 4081.07 2876.91 9893.64 7062.59 7298.44 1685.50 3692.84 3994.03 87
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
UGNet79.87 11778.68 11783.45 12989.96 10561.51 20292.13 10190.79 14476.83 7278.85 7886.33 15738.16 25596.17 9467.93 15687.17 8592.67 122
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
ACMMPcopyleft81.49 9280.67 9083.93 11791.71 7762.90 18692.13 10192.22 9771.79 15771.68 14493.49 7350.32 18496.96 7278.47 8084.22 11691.93 136
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
CPTT-MVS79.59 12279.16 11480.89 18691.54 8259.80 22892.10 10388.54 22060.42 25772.96 12493.28 7548.27 20592.80 20078.89 7986.50 9490.06 156
Test_1112_low_res79.56 12378.60 11982.43 14688.24 14160.39 21792.09 10487.99 22972.10 14771.84 14287.42 14864.62 5193.04 19065.80 17877.30 15693.85 94
CDS-MVSNet81.43 9380.74 8983.52 12686.26 16864.45 15292.09 10490.65 15075.83 8373.95 12189.81 12763.97 5592.91 19771.27 12982.82 12193.20 109
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
CHOSEN 1792x268884.98 4683.45 5589.57 689.94 10675.14 492.07 10692.32 9081.87 2575.68 10388.27 13960.18 8398.60 1380.46 6990.27 7094.96 54
原ACMM292.01 107
XXY-MVS77.94 14776.44 14682.43 14682.60 21064.44 15392.01 10791.83 11173.59 12270.00 15685.82 16254.43 14894.76 13269.63 14368.02 20788.10 176
旧先验292.00 10959.37 26487.54 1593.47 18575.39 99
IS-MVSNet80.14 11179.41 10882.33 15287.91 14760.08 22591.97 11088.27 22572.90 13271.44 14691.73 10661.44 7893.66 18262.47 20886.53 9393.24 107
v114177.28 15875.57 16082.42 14880.63 23466.73 10191.96 11190.42 15574.41 9969.46 16482.12 20055.09 13494.40 14970.99 13265.05 22686.12 204
divwei89l23v2f11277.28 15875.57 16082.42 14880.62 23566.72 10391.96 11190.42 15574.41 9969.46 16482.12 20055.11 13394.40 14971.00 13065.04 22786.12 204
v177.29 15775.57 16082.42 14880.61 23866.73 10191.96 11190.42 15574.41 9969.46 16482.12 20055.14 13294.40 14971.00 13065.04 22786.13 203
EPNet_dtu78.80 13579.26 11277.43 24088.06 14449.71 28891.96 11191.95 10777.67 6176.56 10091.28 10958.51 9490.20 24656.37 23480.95 13192.39 128
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v1neww77.39 15375.71 15682.44 14380.69 22866.83 9291.94 11590.18 16774.19 10669.60 16182.51 19054.99 13894.44 14471.68 12565.60 21986.05 207
v7new77.39 15375.71 15682.44 14380.69 22866.83 9291.94 11590.18 16774.19 10669.60 16182.51 19054.99 13894.44 14471.68 12565.60 21986.05 207
v677.39 15375.71 15682.44 14380.67 23066.82 9491.94 11590.18 16774.19 10669.60 16182.50 19355.00 13794.44 14471.68 12565.60 21986.05 207
MVSTER82.47 7982.05 7483.74 12092.68 5969.01 3991.90 11893.21 5979.83 3272.14 13985.71 16474.72 694.72 13575.72 9472.49 18087.50 180
FMVSNet377.73 14976.04 15082.80 13491.20 9068.99 4091.87 11991.99 10473.35 12567.04 19683.19 18656.62 11592.14 21859.80 22269.34 19687.28 186
v2v48277.42 15275.65 15982.73 13680.38 24067.13 8291.85 12090.23 16475.09 9469.37 16783.39 18453.79 15694.44 14471.77 12365.00 23086.63 198
PAPR85.15 4484.47 4687.18 2996.02 1068.29 5591.85 12093.00 7176.59 7679.03 7595.00 3861.59 7797.61 3978.16 8389.00 7495.63 27
ACMMP_Plus86.05 3685.80 3686.80 3891.58 7967.53 7191.79 12293.49 4874.93 9684.61 3395.30 2759.42 8697.92 2786.13 3294.92 994.94 55
Baseline_NR-MVSNet73.99 19772.83 19077.48 23980.78 22459.29 23691.79 12284.55 26768.85 19468.99 17380.70 22256.16 11992.04 22262.67 20660.98 25681.11 272
TransMVSNet (Re)70.07 22967.66 23177.31 24380.62 23559.13 23891.78 12484.94 26565.97 22160.08 23380.44 22650.78 18191.87 22448.84 26045.46 30380.94 274
EI-MVSNet-Vis-set83.77 6383.67 5284.06 11592.79 5863.56 17691.76 12594.81 1579.65 3677.87 8494.09 6363.35 6497.90 2879.35 7379.36 13890.74 150
UniMVSNet (Re)77.58 15076.78 14379.98 19784.11 19660.80 20791.76 12593.17 6476.56 7769.93 15984.78 17263.32 6592.36 21564.89 18462.51 24486.78 194
MS-PatchMatch77.90 14876.50 14582.12 16185.99 17269.95 2691.75 12792.70 7873.97 11262.58 22684.44 17641.11 24495.78 10763.76 19292.17 4880.62 278
v14876.19 17174.47 17281.36 17480.05 25264.44 15391.75 12790.23 16473.68 12067.13 19580.84 22155.92 12593.86 17868.95 15061.73 25185.76 217
FIs79.47 12479.41 10879.67 20485.95 17359.40 23391.68 12993.94 3278.06 5668.96 17488.28 13866.61 3491.77 22666.20 17374.99 16587.82 177
v114476.73 16774.88 16682.27 15580.23 24866.60 10991.68 12990.21 16673.69 11969.06 17281.89 20552.73 16894.40 14969.21 14865.23 22385.80 214
v776.83 16575.01 16582.29 15480.35 24166.70 10591.68 12989.97 17673.47 12469.22 16982.22 19752.52 16994.43 14869.73 14265.96 21885.74 218
OPM-MVS79.00 13078.09 12481.73 16883.52 20363.83 16791.64 13290.30 16276.36 7971.97 14189.93 12646.30 22295.17 12475.10 10177.70 15186.19 202
MPTG84.73 4884.47 4685.50 7891.89 7365.16 14091.55 13392.23 9375.32 9180.53 6095.21 3356.06 12297.16 5884.86 4192.55 4394.18 75
MP-MVS-pluss85.24 4385.13 4385.56 7791.42 8565.59 13391.54 13492.51 8774.56 9880.62 5995.64 1959.15 8997.00 6786.94 2893.80 2694.07 85
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
GA-MVS78.33 14376.23 14884.65 10483.65 20166.30 12191.44 13590.14 17076.01 8170.32 15184.02 17842.50 23794.72 13570.98 13377.00 15892.94 117
新几何291.41 136
v14419276.05 17474.03 17782.12 16179.50 25766.55 11391.39 13789.71 18872.30 14068.17 18381.33 21351.75 17694.03 16967.94 15564.19 23685.77 215
APD-MVS_3200maxsize81.64 9181.32 8382.59 14292.36 6158.74 24191.39 13791.01 14163.35 23779.72 6894.62 5051.82 17496.14 9579.71 7087.93 8192.89 119
EI-MVSNet-UG-set83.14 7082.96 6283.67 12592.28 6563.19 18091.38 13994.68 1879.22 4076.60 9993.75 6862.64 7197.76 3078.07 8478.01 14890.05 157
TranMVSNet+NR-MVSNet75.86 17774.52 17179.89 20082.44 21160.64 21491.37 14091.37 12976.63 7567.65 19086.21 15852.37 17291.55 23061.84 21160.81 25787.48 181
Effi-MVS+83.82 6282.76 6886.99 3689.56 11369.40 3491.35 14186.12 25672.59 13583.22 4592.81 8859.60 8596.01 10281.76 5987.80 8295.56 29
FMVSNet276.07 17374.01 17882.26 15788.85 12667.66 6791.33 14291.61 11870.84 17365.98 20182.25 19648.03 20692.00 22358.46 22868.73 20287.10 188
HPM-MVS_fast80.25 10879.55 10682.33 15291.55 8159.95 22691.32 14389.16 20365.23 22874.71 11393.07 8047.81 21195.74 10974.87 10888.23 7891.31 146
DU-MVS76.86 16375.84 15379.91 19982.96 20860.26 21991.26 14491.54 12076.46 7868.88 17586.35 15556.16 11992.13 21966.38 17062.55 24287.35 184
TAMVS80.37 10679.45 10783.13 13285.14 18163.37 17791.23 14590.76 14674.81 9772.65 12988.49 13460.63 8292.95 19369.41 14681.95 12793.08 113
v119275.98 17673.92 17982.15 16079.73 25366.24 12391.22 14689.75 18272.67 13468.49 18181.42 21149.86 19094.27 15767.08 16365.02 22985.95 211
test0.0.03 172.76 20672.71 19272.88 27080.25 24747.99 29391.22 14689.45 19271.51 16662.51 22787.66 14453.83 15485.06 28350.16 25567.84 21085.58 219
Fast-Effi-MVS+-dtu75.04 18773.37 18680.07 19580.86 22359.52 23291.20 14885.38 26371.90 14965.20 20384.84 17141.46 24392.97 19266.50 16972.96 17687.73 178
PMMVS81.98 8982.04 7581.78 16789.76 11056.17 25891.13 14990.69 14777.96 5780.09 6493.57 7146.33 22194.99 12681.41 6387.46 8494.17 77
pmmvs573.35 20171.52 20378.86 22378.64 26860.61 21591.08 15086.90 24067.69 20863.32 21983.64 18044.33 23390.53 23962.04 21066.02 21785.46 222
v192192075.63 18173.49 18482.06 16579.38 25866.35 11991.07 15189.48 19171.98 14867.99 18481.22 21649.16 19993.90 17566.56 16864.56 23585.92 213
HPM-MVS83.25 6882.95 6384.17 11392.25 6662.88 18790.91 15291.86 10970.30 18177.12 9593.96 6656.75 11296.28 9182.04 5791.34 6093.34 103
CNLPA74.31 19472.30 19780.32 19091.49 8461.66 20090.85 15380.72 28956.67 27763.85 21590.64 11446.75 21690.84 23853.79 24375.99 16288.47 171
NR-MVSNet76.05 17474.59 16880.44 18882.96 20862.18 19790.83 15491.73 11377.12 6760.96 23086.35 15559.28 8891.80 22560.74 21661.34 25487.35 184
pm-mvs172.89 20471.09 20678.26 22979.10 26457.62 25090.80 15589.30 19767.66 20962.91 22381.78 20749.11 20092.95 19360.29 21958.89 26684.22 233
ACMP71.68 1075.58 18274.23 17579.62 20684.97 18359.64 22990.80 15589.07 20870.39 18062.95 22287.30 14938.28 25493.87 17672.89 11271.45 18785.36 224
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
v124075.21 18672.98 18981.88 16679.20 26066.00 12690.75 15789.11 20671.63 16167.41 19381.22 21647.36 21393.87 17665.46 18164.72 23385.77 215
DI_MVS_plusplus_test79.78 12077.50 13586.62 4280.90 22269.46 3390.69 15891.97 10677.00 6859.07 23982.34 19446.82 21595.88 10482.14 5686.59 9294.53 67
test_normal79.66 12177.36 13886.54 4680.72 22669.21 3690.68 15992.16 10176.99 6958.63 24382.03 20346.70 21795.86 10581.74 6086.63 9194.56 62
IterMVS-LS76.49 16875.18 16480.43 18984.49 18962.74 18990.64 16088.80 21372.40 13865.16 20481.72 20860.98 8092.27 21767.74 15764.65 23486.29 200
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PLCcopyleft68.80 1475.23 18573.68 18279.86 20192.93 5258.68 24290.64 16088.30 22360.90 25464.43 21190.53 11742.38 23894.57 13856.52 23376.54 15986.33 199
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PS-MVSNAJss77.26 16076.31 14780.13 19480.64 23359.16 23790.63 16291.06 13872.80 13368.58 18084.57 17553.55 15893.96 17272.97 11171.96 18387.27 187
MVS_dtu83.63 6682.83 6686.02 6290.57 9767.50 7490.51 16389.84 17984.43 987.88 1393.73 6948.69 20396.94 7475.60 9784.23 11493.61 98
PGM-MVS83.25 6882.70 7084.92 9692.81 5764.07 16490.44 16492.20 9871.28 16877.23 9494.43 5255.17 13197.31 5079.33 7491.38 5893.37 102
LPG-MVS_test75.82 17874.58 16979.56 20884.31 19359.37 23490.44 16489.73 18569.49 18764.86 20588.42 13538.65 25194.30 15572.56 11672.76 17785.01 227
Vis-MVSNet (Re-imp)79.24 12779.57 10378.24 23088.46 13652.29 27590.41 16689.12 20574.24 10569.13 17091.91 10165.77 4290.09 25159.00 22688.09 8092.33 129
TSAR-MVS + MP.88.11 1088.64 986.54 4691.73 7668.04 6090.36 16793.55 4582.89 1491.29 292.89 8672.27 1096.03 10087.99 1994.77 1395.54 30
ACMM69.62 1374.34 19372.73 19179.17 22084.25 19557.87 24690.36 16789.93 17763.17 24065.64 20286.04 16137.79 26194.10 16265.89 17671.52 18685.55 221
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
FC-MVSNet-test77.99 14678.08 12577.70 23584.89 18455.51 26290.27 16993.75 3876.87 7066.80 20087.59 14565.71 4390.23 24562.89 20373.94 17087.37 182
V4276.46 16974.55 17082.19 15979.14 26267.82 6390.26 17089.42 19473.75 11868.63 17981.89 20551.31 18094.09 16371.69 12464.84 23184.66 230
HyFIR lowres test81.03 9879.56 10485.43 8387.81 14968.11 5990.18 17190.01 17570.65 17672.95 12586.06 16063.61 6194.50 14375.01 10479.75 13693.67 96
GBi-Net75.65 17973.83 18081.10 18088.85 12665.11 14290.01 17290.32 15870.84 17367.04 19680.25 23048.03 20691.54 23159.80 22269.34 19686.64 195
test175.65 17973.83 18081.10 18088.85 12665.11 14290.01 17290.32 15870.84 17367.04 19680.25 23048.03 20691.54 23159.80 22269.34 19686.64 195
FMVSNet172.71 20769.91 21181.10 18083.60 20265.11 14290.01 17290.32 15863.92 23463.56 21780.25 23036.35 27191.54 23154.46 24066.75 21486.64 195
MVS_Test84.16 5783.20 6187.05 3491.56 8069.82 2889.99 17592.05 10277.77 5982.84 4786.57 15463.93 5696.09 9774.91 10689.18 7395.25 42
Effi-MVS+-dtu76.14 17275.28 16378.72 22483.22 20455.17 26489.87 17687.78 23175.42 8767.98 18581.43 21045.08 22892.52 20975.08 10271.63 18488.48 170
EG-PatchMatch MVS68.55 24065.41 24277.96 23478.69 26762.93 18389.86 17789.17 20260.55 25650.27 28377.73 24822.60 30794.06 16547.18 26672.65 17976.88 298
MVS_111021_LR82.02 8881.52 8183.51 12788.42 13862.88 18789.77 17888.93 21176.78 7375.55 10793.10 7650.31 18595.38 12383.82 4887.02 8692.26 133
DP-MVS69.90 23066.48 23680.14 19395.36 1362.93 18389.56 17976.11 29750.27 29257.69 24985.23 16739.68 24895.73 11033.35 30371.05 19081.78 259
test22289.77 10961.60 20189.55 18089.42 19456.83 27677.28 9392.43 9452.76 16791.14 6293.09 112
v875.35 18373.26 18781.61 17280.67 23066.82 9489.54 18189.27 19871.65 16063.30 22080.30 22954.99 13894.06 16567.33 16262.33 24583.94 235
EI-MVSNet78.97 13178.22 12381.25 17685.33 17862.73 19089.53 18293.21 5972.39 13972.14 13990.13 12360.99 7994.72 13567.73 15872.49 18086.29 200
CVMVSNet74.04 19674.27 17473.33 26685.33 17843.94 30289.53 18288.39 22154.33 28370.37 15090.13 12349.17 19884.05 28761.83 21279.36 13891.99 135
MVP-Stereo77.12 16276.23 14879.79 20381.72 21666.34 12089.29 18490.88 14270.56 17762.01 22982.88 18749.34 19594.13 16165.55 18093.80 2678.88 290
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
OpenMVS_ROBcopyleft61.12 1866.39 25362.92 25876.80 24776.51 27957.77 24789.22 18583.41 27755.48 28153.86 26877.84 24726.28 30293.95 17334.90 30168.76 20178.68 292
testdata189.21 18677.55 63
TAPA-MVS70.22 1274.94 19073.53 18379.17 22090.40 10052.07 27689.19 18789.61 18962.69 24370.07 15492.67 9048.89 20294.32 15438.26 29379.97 13491.12 147
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v1074.77 19172.54 19581.46 17380.33 24566.71 10489.15 18889.08 20770.94 17163.08 22179.86 23452.52 16994.04 16865.70 17962.17 24683.64 237
DWT-MVSNet_test83.95 5982.80 6787.41 2492.90 5370.07 2489.12 18994.42 2582.15 2077.64 8791.77 10370.81 1596.22 9265.03 18381.36 12895.94 22
MVSFormer83.75 6482.88 6486.37 5589.24 12071.18 1489.07 19090.69 14765.80 22287.13 1694.34 5964.99 4892.67 20572.83 11391.80 5195.27 39
test_djsdf73.76 20072.56 19477.39 24177.00 27853.93 26989.07 19090.69 14765.80 22263.92 21382.03 20343.14 23692.67 20572.83 11368.53 20385.57 220
jajsoiax73.05 20271.51 20477.67 23677.46 27554.83 26588.81 19290.04 17469.13 19162.85 22483.51 18231.16 28992.75 20270.83 13469.80 19285.43 223
pmmvs667.57 24764.76 24676.00 25272.82 29253.37 27188.71 19386.78 24153.19 28457.58 25078.03 24635.33 27492.41 21255.56 23754.88 27882.21 256
PVSNet_068.08 1571.81 21268.32 22682.27 15584.68 18562.31 19588.68 19490.31 16175.84 8257.93 24680.65 22437.85 26094.19 16069.94 14129.05 31990.31 155
PatchFormer-LS_test83.14 7081.81 7887.12 3192.34 6269.92 2788.64 19593.32 5582.07 2374.87 11291.62 10768.91 1796.08 9966.07 17478.45 14795.37 32
OMC-MVS78.67 13977.91 12980.95 18585.76 17757.40 25288.49 19688.67 21573.85 11572.43 13692.10 9949.29 19694.55 14072.73 11577.89 14990.91 149
abl_679.82 11879.20 11381.70 17189.85 10758.34 24388.47 19790.07 17262.56 24477.71 8693.08 7847.65 21296.78 8177.94 8585.45 10289.99 158
mvs_tets72.71 20771.11 20577.52 23777.41 27654.52 26788.45 19889.76 18168.76 19662.70 22583.26 18529.49 29392.71 20370.51 13969.62 19485.34 225
Test476.45 17073.45 18585.45 8276.07 28467.61 6988.38 19990.83 14376.71 7453.06 27279.65 23831.61 28694.35 15378.47 8086.22 9694.40 71
Anonymous2023120667.53 24865.78 23872.79 27174.95 28647.59 29588.23 20087.32 23761.75 25258.07 24577.29 25137.79 26187.29 27642.91 27663.71 24083.48 241
v1871.94 21169.43 21479.50 21080.74 22566.82 9488.16 20186.66 24268.95 19355.55 25572.66 27255.03 13690.15 24764.78 18552.30 28381.54 260
ACMH+65.35 1667.65 24664.55 24776.96 24584.59 18757.10 25588.08 20280.79 28858.59 26853.00 27381.09 22026.63 30192.95 19346.51 26761.69 25280.82 275
F-COLMAP70.66 22568.44 22477.32 24286.37 16755.91 26088.00 20386.32 25156.94 27557.28 25188.07 14233.58 27892.49 21051.02 25268.37 20483.55 238
test_040264.54 26161.09 26674.92 25684.10 19760.75 21087.95 20479.71 29252.03 28752.41 27477.20 25232.21 28491.64 22823.14 31861.03 25572.36 305
v1771.77 21469.20 21779.46 21280.62 23566.81 9787.93 20586.63 24468.71 19755.25 25772.49 27454.72 14390.11 25064.50 18851.97 28581.47 261
v1671.81 21269.26 21679.47 21180.66 23266.81 9787.93 20586.63 24468.70 19855.35 25672.51 27354.75 14290.12 24964.51 18752.28 28481.47 261
131480.70 10178.95 11685.94 6787.77 15067.56 7087.91 20792.55 8672.17 14567.44 19193.09 7750.27 18697.04 6471.68 12587.64 8393.23 108
112181.25 9580.05 9584.87 9892.30 6464.31 15987.91 20791.39 12759.44 26379.94 6592.91 8457.09 10497.01 6566.63 16692.81 4093.29 106
MVS84.66 5082.86 6590.06 190.93 9274.56 587.91 20795.54 368.55 20072.35 13894.71 4959.78 8498.90 681.29 6694.69 1796.74 8
test235664.16 26463.28 25566.81 29269.37 30439.86 31287.76 21086.02 25759.83 26153.54 27173.23 27034.94 27580.67 30639.66 28865.20 22479.89 283
ACMH63.93 1768.62 23964.81 24580.03 19685.22 18063.25 17887.72 21184.66 26660.83 25551.57 27879.43 24027.29 29994.96 12741.76 28064.84 23181.88 258
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PAPM_NR82.97 7381.84 7786.37 5594.10 3366.76 10087.66 21292.84 7569.96 18474.07 11993.57 7163.10 6897.50 4270.66 13790.58 6794.85 56
IterMVS72.65 20970.83 20778.09 23382.17 21262.96 18287.64 21386.28 25271.56 16460.44 23178.85 24345.42 22786.66 27863.30 19661.83 24884.65 231
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v1571.40 21668.75 21979.35 21380.39 23966.70 10587.57 21486.64 24368.66 19954.68 25972.00 28154.50 14589.98 25263.69 19350.66 29081.38 265
pmmvs473.92 19871.81 20180.25 19279.17 26165.24 13887.43 21587.26 23967.64 21163.46 21883.91 17948.96 20191.53 23462.94 20265.49 22283.96 234
V1471.29 21868.61 22179.31 21480.34 24366.65 10787.39 21686.61 24668.41 20354.49 26171.91 28254.25 15089.96 25363.50 19450.62 29181.33 267
WR-MVS_H70.59 22669.94 21072.53 27281.03 22151.43 27987.35 21792.03 10367.38 21360.23 23280.70 22255.84 12683.45 29446.33 26858.58 26782.72 253
CP-MVSNet70.50 22869.91 21172.26 27580.71 22751.00 28287.23 21890.30 16267.84 20759.64 23482.69 18950.23 18782.30 30151.28 25159.28 26183.46 242
V971.16 21968.46 22379.27 21680.26 24666.60 10987.21 21986.56 24768.17 20454.26 26471.81 28454.00 15289.93 25463.28 19750.57 29281.27 268
PCF-MVS73.15 979.29 12677.63 13284.29 11286.06 17165.96 12787.03 22091.10 13769.86 18569.79 16090.64 11457.54 10296.59 8664.37 19082.29 12390.32 154
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PS-CasMVS69.86 23169.13 21872.07 27880.35 24150.57 28487.02 22189.75 18267.27 21459.19 23782.28 19546.58 21982.24 30250.69 25359.02 26483.39 244
v1271.02 22368.29 22879.22 21880.18 24966.53 11487.01 22286.54 24967.90 20654.00 26771.70 28553.66 15789.91 25563.09 19950.51 29381.21 269
v1171.05 22268.32 22679.23 21780.34 24366.57 11287.01 22286.55 24868.11 20554.40 26271.66 28652.94 16689.91 25562.71 20551.12 28881.21 269
PEN-MVS69.46 23668.56 22272.17 27779.27 25949.71 28886.90 22489.24 20067.24 21559.08 23882.51 19047.23 21483.54 29348.42 26257.12 26983.25 245
mvs_anonymous81.36 9479.99 9785.46 8090.39 10168.40 5186.88 22590.61 15174.41 9970.31 15284.67 17363.79 5892.32 21673.13 11085.70 9995.67 25
v1370.90 22468.15 22979.15 22280.08 25066.45 11686.83 22686.50 25067.62 21253.78 26971.61 28753.51 16189.87 25762.89 20350.50 29481.14 271
v7n71.31 21768.65 22079.28 21576.40 28060.77 20986.71 22789.45 19264.17 23358.77 24278.24 24444.59 23293.54 18357.76 23061.75 25083.52 240
diffmvs80.18 10978.55 12085.07 9388.56 13266.93 9086.70 22888.62 21770.42 17878.69 8085.26 16656.93 11094.77 13168.68 15383.09 11893.51 100
test20.0363.83 26662.65 26067.38 29070.58 30039.94 31086.57 22984.17 26963.29 23851.86 27677.30 25037.09 26882.47 29938.87 29254.13 28079.73 285
UA-Net80.02 11479.65 10281.11 17989.33 11657.72 24886.33 23089.00 21077.44 6581.01 5689.15 13059.33 8795.90 10361.01 21584.28 11389.73 161
v74870.55 22767.97 23078.27 22875.75 28558.78 24086.29 23189.25 19965.12 22956.66 25377.17 25445.05 23092.95 19358.13 22958.33 26883.10 249
DTE-MVSNet68.46 24267.33 23271.87 28177.94 27349.00 29186.16 23288.58 21966.36 21958.19 24482.21 19846.36 22083.87 29144.97 27255.17 27682.73 252
testgi64.48 26262.87 25969.31 28571.24 29540.62 30985.49 23379.92 29165.36 22654.18 26583.49 18323.74 30584.55 28441.60 28160.79 25882.77 251
LS3D69.17 23766.40 23777.50 23891.92 7156.12 25985.12 23480.37 29046.96 29956.50 25487.51 14737.25 26493.71 18032.52 30879.40 13782.68 254
testmvs7.23 3119.62 3120.06 3230.04 3350.02 33784.98 2350.02 3370.03 3310.18 3321.21 3330.01 3400.02 3340.14 3310.01 3310.13 330
testus59.36 27857.51 27564.90 29566.72 30637.56 31584.98 23581.09 28657.46 27247.72 29072.76 27111.43 32278.78 31336.56 29458.91 26578.36 295
HY-MVS76.49 584.28 5583.36 6087.02 3592.22 6767.74 6584.65 23794.50 2279.15 4282.23 4987.93 14366.88 3296.94 7480.53 6882.20 12596.39 14
N_pmnet50.55 28949.11 29154.88 30677.17 2774.02 33584.36 2382.00 33548.59 29545.86 29568.82 29432.22 28382.80 29831.58 30951.38 28777.81 296
anonymousdsp71.14 22069.37 21576.45 24872.95 29054.71 26684.19 23988.88 21261.92 24962.15 22879.77 23538.14 25691.44 23668.90 15167.45 21183.21 246
MSDG69.54 23565.73 23980.96 18485.11 18263.71 17284.19 23983.28 27956.95 27454.50 26084.03 17731.50 28796.03 10042.87 27869.13 19983.14 248
COLMAP_ROBcopyleft57.96 2062.98 27059.65 27072.98 26981.44 21953.00 27383.75 24175.53 30348.34 29748.81 28781.40 21224.14 30390.30 24132.95 30560.52 25975.65 301
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
testing_271.09 22167.32 23382.40 15169.82 30166.52 11583.64 24290.77 14572.21 14245.12 29871.07 29127.60 29893.74 17975.71 9569.96 19186.95 191
FMVSNet568.04 24465.66 24075.18 25584.43 19157.89 24583.54 24386.26 25361.83 25153.64 27073.30 26937.15 26785.08 28248.99 25961.77 24982.56 255
MDA-MVSNet_test_wron63.78 26760.16 26874.64 25778.15 27160.41 21683.49 24484.03 27056.17 28039.17 31171.59 28937.22 26583.24 29742.87 27848.73 29780.26 281
PatchMatch-RL72.06 21069.98 20978.28 22789.51 11555.70 26183.49 24483.39 27861.24 25363.72 21682.76 18834.77 27693.03 19153.37 24777.59 15286.12 204
YYNet163.76 26860.14 26974.62 25878.06 27260.19 22283.46 24683.99 27456.18 27939.25 31071.56 29037.18 26683.34 29542.90 27748.70 29880.32 280
SixPastTwentyTwo64.92 25961.78 26574.34 26178.74 26649.76 28783.42 24779.51 29362.86 24250.27 28377.35 24930.92 29190.49 24045.89 27047.06 30082.78 250
EU-MVSNet64.01 26563.01 25767.02 29174.40 28838.86 31483.27 24886.19 25445.11 30554.27 26381.15 21936.91 27080.01 30748.79 26157.02 27082.19 257
K. test v363.09 26959.61 27173.53 26576.26 28149.38 29083.27 24877.15 29664.35 23247.77 28972.32 27928.73 29487.79 27449.93 25736.69 31483.41 243
tpm78.58 14077.03 14083.22 13085.94 17564.56 15083.21 25091.14 13678.31 5473.67 12279.68 23664.01 5492.09 22166.07 17471.26 18993.03 114
MDA-MVSNet-bldmvs61.54 27357.70 27473.05 26879.53 25657.00 25683.08 25181.23 28557.57 26934.91 31472.45 27632.79 28086.26 28135.81 29841.95 30775.89 300
ab-mvs80.18 10978.31 12185.80 7088.44 13765.49 13683.00 25292.67 8071.82 15577.36 9285.01 16954.50 14596.59 8676.35 9375.63 16395.32 36
pmmvs-eth3d65.53 25862.32 26275.19 25469.39 30359.59 23082.80 25383.43 27662.52 24551.30 28072.49 27432.86 27987.16 27755.32 23850.73 28978.83 291
new-patchmatchnet59.30 27956.48 27967.79 28865.86 30744.19 30082.47 25481.77 28359.94 26043.65 30466.20 29827.67 29781.68 30439.34 28941.40 30877.50 297
CostFormer82.33 8181.15 8485.86 6889.01 12568.46 5082.39 25593.01 6975.59 8480.25 6381.57 20972.03 1294.96 12779.06 7777.48 15494.16 78
v5269.80 23267.01 23578.15 23171.84 29460.10 22382.02 25687.39 23464.48 23057.80 24775.97 26141.47 24292.90 19863.00 20059.13 26381.45 263
V469.80 23267.02 23478.15 23171.86 29360.10 22382.02 25687.39 23464.48 23057.78 24875.98 26041.49 24192.90 19863.00 20059.16 26281.44 264
MTAPA83.91 6083.38 5985.50 7891.89 7365.16 14081.75 25892.23 9375.32 9180.53 6095.21 3356.06 12297.16 5884.86 4192.55 4394.18 75
tpmrst80.57 10279.14 11584.84 9990.10 10368.28 5681.70 25989.72 18777.63 6275.96 10279.54 23964.94 5092.71 20375.43 9877.28 15793.55 99
test1236.92 3129.21 3130.08 3220.03 3360.05 33681.65 2600.01 3380.02 3320.14 3330.85 3340.03 3390.02 3340.12 3320.00 3330.16 329
test123567855.73 28452.74 28464.68 29660.16 31635.56 31781.65 26081.46 28451.27 28838.93 31262.82 30617.44 31378.58 31430.87 31050.09 29679.89 283
tpmp4_e2378.85 13376.55 14485.77 7289.25 11868.39 5281.63 26291.38 12870.40 17975.21 11079.22 24167.37 3094.79 13058.98 22775.51 16494.13 80
tpm279.80 11977.95 12785.34 8788.28 14068.26 5781.56 26391.42 12670.11 18277.59 9080.50 22567.40 2994.26 15967.34 16177.35 15593.51 100
UnsupCasMVSNet_eth65.79 25763.10 25673.88 26270.71 29850.29 28681.09 26489.88 17872.58 13649.25 28674.77 26732.57 28287.43 27555.96 23641.04 30983.90 236
Patchmatch-test175.00 18971.80 20284.58 10686.63 16370.08 2381.06 26589.19 20171.60 16270.01 15577.16 25545.53 22588.63 26451.79 25073.27 17395.02 53
Anonymous2023121153.57 28849.43 29066.00 29465.01 30842.08 30480.95 26672.60 30938.46 31541.65 30864.48 30415.72 31584.23 28525.78 31540.24 31171.68 306
OurMVSNet-221017-064.68 26062.17 26372.21 27676.08 28347.35 29680.67 26781.02 28756.19 27851.60 27779.66 23727.05 30088.56 26753.60 24553.63 28180.71 277
XVG-OURS-SEG-HR74.70 19273.08 18879.57 20778.25 27057.33 25380.49 26887.32 23763.22 23968.76 17790.12 12544.89 23191.59 22970.55 13874.09 16989.79 159
pmmvs355.51 28551.50 28867.53 28957.90 31850.93 28380.37 26973.66 30740.63 31444.15 30264.75 30316.30 31478.97 31244.77 27340.98 31072.69 304
XVG-OURS74.25 19572.46 19679.63 20578.45 26957.59 25180.33 27087.39 23463.86 23568.76 17789.62 12940.50 24691.72 22769.00 14974.25 16789.58 162
MDTV_nov1_ep1372.61 19389.06 12368.48 4980.33 27090.11 17171.84 15471.81 14375.92 26253.01 16593.92 17448.04 26373.38 172
EPMVS78.49 14275.98 15186.02 6291.21 8969.68 3180.23 27291.20 13375.25 9372.48 13478.11 24554.65 14493.69 18157.66 23283.04 11994.69 60
AllTest61.66 27158.06 27272.46 27379.57 25451.42 28080.17 27368.61 31651.25 28945.88 29381.23 21419.86 31186.58 27938.98 29057.01 27179.39 287
MDTV_nov1_ep13_2view59.90 22780.13 27467.65 21072.79 12754.33 14959.83 22192.58 125
LCM-MVSNet-Re72.93 20371.84 20076.18 25188.49 13448.02 29280.07 27570.17 31473.96 11352.25 27580.09 23349.98 18888.24 27067.35 16084.23 11492.28 132
PatchmatchNetpermissive77.46 15174.63 16785.96 6689.55 11470.35 2179.97 27689.55 19072.23 14170.94 14776.91 25757.03 10692.79 20154.27 24181.17 12994.74 59
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
dp75.01 18872.09 19983.76 11989.28 11766.22 12479.96 27789.75 18271.16 16967.80 18977.19 25351.81 17592.54 20850.39 25471.44 18892.51 127
111156.66 28354.98 28261.69 29861.99 31331.38 31979.81 27883.17 28045.66 30241.94 30665.44 29941.50 23979.56 31027.64 31247.68 29974.14 303
.test124546.52 29349.68 28937.02 31561.99 31331.38 31979.81 27883.17 28045.66 30241.94 30665.44 29941.50 23979.56 31027.64 3120.01 3310.13 330
test_post178.95 28020.70 32953.05 16491.50 23560.43 218
MIMVSNet160.16 27657.33 27668.67 28669.71 30244.13 30178.92 28184.21 26855.05 28244.63 30071.85 28323.91 30481.54 30532.63 30755.03 27780.35 279
UnsupCasMVSNet_bld61.60 27257.71 27373.29 26768.73 30551.64 27778.61 28289.05 20957.20 27346.11 29261.96 30728.70 29588.60 26650.08 25638.90 31279.63 286
XVG-ACMP-BASELINE68.04 24465.53 24175.56 25374.06 28952.37 27478.43 28385.88 26062.03 24758.91 24181.21 21820.38 31091.15 23760.69 21768.18 20583.16 247
USDC67.43 25064.51 24876.19 25077.94 27355.29 26378.38 28485.00 26473.17 12648.36 28880.37 22721.23 30992.48 21152.15 24964.02 23880.81 276
TinyColmap60.32 27456.42 28072.00 27978.78 26553.18 27278.36 28575.64 30052.30 28641.59 30975.82 26314.76 31888.35 26935.84 29754.71 27974.46 302
tpmvs72.88 20569.76 21382.22 15890.98 9167.05 8578.22 28688.30 22363.10 24164.35 21274.98 26555.09 13494.27 15743.25 27469.57 19585.34 225
tpm cat175.30 18472.21 19884.58 10688.52 13367.77 6478.16 28788.02 22861.88 25068.45 18276.37 25860.65 8194.03 16953.77 24474.11 16891.93 136
CMPMVSbinary48.56 2166.77 25264.41 25073.84 26370.65 29950.31 28577.79 28885.73 26245.54 30444.76 29982.14 19935.40 27390.14 24863.18 19874.54 16681.07 273
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PM-MVS59.40 27756.59 27867.84 28763.63 30941.86 30676.76 28963.22 32259.01 26551.07 28172.27 28011.72 32083.25 29661.34 21350.28 29578.39 294
TDRefinement55.28 28651.58 28766.39 29359.53 31746.15 29876.23 29072.80 30844.60 30742.49 30576.28 25915.29 31682.39 30033.20 30443.75 30570.62 309
RPSCF64.24 26361.98 26471.01 28276.10 28245.00 29975.83 29175.94 29946.94 30058.96 24084.59 17431.40 28882.00 30347.76 26460.33 26086.04 210
GG-mvs-BLEND86.53 4891.91 7269.67 3275.02 29294.75 1678.67 8190.85 11277.91 294.56 13972.25 11993.74 2895.36 33
testmv46.98 29243.53 29457.35 30347.75 32430.41 32274.99 29377.69 29442.84 31228.03 31653.36 3128.18 32771.18 31824.36 31734.55 31570.46 310
MIMVSNet71.64 21568.44 22481.23 17781.97 21564.44 15373.05 29488.80 21369.67 18664.59 20774.79 26632.79 28087.82 27353.99 24276.35 16091.42 141
gg-mvs-nofinetune77.18 16174.31 17385.80 7091.42 8568.36 5371.78 29594.72 1749.61 29377.12 9545.92 31677.41 393.98 17167.62 15993.16 3695.05 49
MVS-HIRNet60.25 27555.55 28174.35 26084.37 19256.57 25771.64 29674.11 30634.44 31745.54 29742.24 31931.11 29089.81 25840.36 28776.10 16176.67 299
test1235647.51 29144.82 29355.56 30452.53 31921.09 33071.45 29776.03 29844.14 30930.69 31558.18 3109.01 32676.14 31526.95 31434.43 31769.46 311
CR-MVSNet73.79 19970.82 20882.70 13783.15 20667.96 6170.25 29884.00 27273.67 12169.97 15772.41 27757.82 9989.48 26052.99 24873.13 17490.64 152
RPMNet69.58 23465.21 24482.70 13783.15 20667.96 6170.25 29886.15 25546.83 30169.97 15765.10 30256.48 11889.48 26035.79 29973.13 17490.64 152
Patchmatch-RL test68.17 24364.49 24979.19 21971.22 29653.93 26970.07 30071.54 31369.22 19056.79 25262.89 30556.58 11688.61 26569.53 14552.61 28295.03 52
CHOSEN 280x42077.35 15676.95 14278.55 22587.07 15862.68 19169.71 30182.95 28268.80 19571.48 14587.27 15066.03 3984.00 29076.47 9282.81 12288.95 164
Patchmtry67.53 24863.93 25278.34 22682.12 21364.38 15668.72 30284.00 27248.23 29859.24 23672.41 27757.82 9989.27 26246.10 26956.68 27381.36 266
LF4IMVS54.01 28752.12 28559.69 30062.41 31239.91 31168.59 30368.28 31842.96 31144.55 30175.18 26414.09 31968.39 32041.36 28351.68 28670.78 308
new_pmnet49.31 29046.44 29257.93 30162.84 31140.74 30868.47 30462.96 32336.48 31635.09 31357.81 31114.97 31772.18 31732.86 30646.44 30160.88 316
ADS-MVSNet266.90 25163.44 25477.26 24488.06 14460.70 21268.01 30575.56 30257.57 26964.48 20969.87 29238.68 24984.10 28640.87 28467.89 20886.97 189
ADS-MVSNet68.54 24164.38 25181.03 18388.06 14466.90 9168.01 30584.02 27157.57 26964.48 20969.87 29238.68 24989.21 26340.87 28467.89 20886.97 189
PatchT69.11 23865.37 24380.32 19082.07 21463.68 17367.96 30787.62 23350.86 29169.37 16765.18 30157.09 10488.53 26841.59 28266.60 21588.74 166
LTVRE_ROB59.60 1966.27 25463.54 25374.45 25984.00 19851.55 27867.08 30883.53 27558.78 26654.94 25880.31 22834.54 27793.23 18840.64 28668.03 20678.58 293
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
PNet_i23d32.77 30029.98 30241.11 31348.05 32229.17 32465.82 30950.02 32721.42 32214.74 32537.19 3231.11 33655.11 32719.75 32211.77 32439.06 320
FPMVS45.64 29443.10 29553.23 30851.42 32136.46 31664.97 31071.91 31129.13 31927.53 31761.55 3089.83 32465.01 32416.00 32455.58 27558.22 317
DSMNet-mixed56.78 28154.44 28363.79 29763.21 31029.44 32364.43 31164.10 32142.12 31351.32 27971.60 28831.76 28575.04 31636.23 29665.20 22486.87 193
ANet_high40.27 29735.20 29855.47 30534.74 33034.47 31863.84 31271.56 31248.42 29618.80 32241.08 3209.52 32564.45 32520.18 3218.66 32967.49 313
LP56.71 28251.64 28671.91 28080.08 25060.33 21861.72 31375.61 30143.87 31043.76 30360.30 30930.46 29284.05 28722.94 31946.06 30271.34 307
no-one44.13 29538.39 29661.34 29945.91 32641.94 30561.67 31475.07 30545.05 30620.07 32040.68 32211.58 32179.82 30830.18 31115.30 32262.26 315
E-PMN24.61 30424.00 30526.45 31843.74 32718.44 33260.86 31539.66 32915.11 3259.53 32822.10 3266.52 32946.94 3298.31 32810.14 32513.98 326
EMVS23.76 30623.20 30725.46 31941.52 32816.90 33360.56 31638.79 33214.62 3268.99 32920.24 3307.35 32845.82 3307.25 3299.46 32713.64 327
PMMVS237.93 29833.61 29950.92 30946.31 32524.76 32860.55 31750.05 32628.94 32020.93 31947.59 3144.41 33365.13 32325.14 31618.55 32162.87 314
Patchmatch-test65.86 25660.94 26780.62 18783.75 19958.83 23958.91 31875.26 30444.50 30850.95 28277.09 25658.81 9387.90 27235.13 30064.03 23795.12 47
JIA-IIPM66.06 25562.45 26176.88 24681.42 22054.45 26857.49 31988.67 21549.36 29463.86 21446.86 31556.06 12290.25 24249.53 25868.83 20085.95 211
LCM-MVSNet40.54 29635.79 29754.76 30736.92 32930.81 32151.41 32069.02 31522.07 32124.63 31845.37 3174.56 33265.81 32233.67 30234.50 31667.67 312
PMVScopyleft26.43 2231.84 30128.16 30342.89 31225.87 33327.58 32650.92 32149.78 32821.37 32314.17 32640.81 3212.01 33466.62 3219.61 32738.88 31334.49 323
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ambc69.61 28461.38 31541.35 30749.07 32285.86 26150.18 28566.40 29710.16 32388.14 27145.73 27144.20 30479.32 289
wuykxyi23d29.03 30323.09 30846.84 31031.67 33228.82 32543.46 32357.72 32514.39 3277.52 33020.84 3280.64 33760.29 32621.57 32010.04 32651.40 319
tmp_tt22.26 30723.75 30617.80 3205.23 33412.06 33435.26 32439.48 3302.82 33018.94 32144.20 31822.23 30824.64 33236.30 2959.31 32816.69 325
testpf57.17 28056.93 27757.88 30279.13 26342.40 30334.23 32585.97 25952.64 28547.66 29166.50 29636.33 27279.65 30953.60 24556.31 27451.60 318
MVEpermissive24.84 2324.35 30519.77 30938.09 31434.56 33126.92 32726.57 32638.87 33111.73 32811.37 32727.44 3241.37 33550.42 32811.41 32614.60 32336.93 321
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuyk23d11.30 30910.95 31012.33 32148.05 32219.89 33125.89 3271.92 3363.58 3293.12 3311.37 3320.64 33715.77 3336.23 3307.77 3301.35 328
Gipumacopyleft34.91 29931.44 30145.30 31170.99 29739.64 31319.85 32872.56 31020.10 32416.16 32421.47 3275.08 33171.16 31913.07 32543.70 30625.08 324
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
cdsmvs_eth3d_5k19.86 30826.47 3040.00 3240.00 3370.00 3380.00 32993.45 490.00 3330.00 33495.27 2949.56 1920.00 3360.00 3330.00 3330.00 332
pcd_1.5k_mvsjas4.46 3135.95 3140.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 33553.55 1580.00 3360.00 3330.00 3330.00 332
pcd1.5k->3k31.17 30231.85 30029.12 31781.48 2170.00 3380.00 32991.79 1120.00 3330.00 3340.00 33541.05 2450.00 3360.00 33372.34 18287.36 183
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 3330.00 332
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 3330.00 332
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 3330.00 332
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 3330.00 332
ab-mvs-re7.91 31010.55 3110.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 33494.95 390.00 3410.00 3360.00 3330.00 3330.00 332
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 3330.00 332
sam_mvs157.85 98
sam_mvs54.91 141
semantic-postprocess76.32 24981.48 21760.67 21385.99 25866.17 22059.50 23578.88 24245.51 22683.65 29262.58 20761.93 24784.63 232
MTGPAbinary92.23 93
test_post23.01 32556.49 11792.67 205
patchmatchnet-post67.62 29557.62 10190.25 242
MTMP32.52 333
gm-plane-assit88.42 13867.04 8678.62 5291.83 10297.37 4676.57 91
test9_res89.41 994.96 895.29 37
agg_prior286.41 3094.75 1695.33 34
agg_prior94.16 3166.97 8793.31 5684.49 3596.75 83
TestCases72.46 27379.57 25451.42 28068.61 31651.25 28945.88 29381.23 21419.86 31186.58 27938.98 29057.01 27179.39 287
test_prior86.42 5294.71 2167.35 7593.10 6796.84 7995.05 49
新几何184.73 10192.32 6364.28 16191.46 12559.56 26279.77 6792.90 8556.95 10996.57 8863.40 19592.91 3893.34 103
旧先验191.94 7060.74 21191.50 12394.36 5465.23 4591.84 5094.55 63
原ACMM184.42 11093.21 4764.27 16293.40 5265.39 22579.51 7092.50 9158.11 9796.69 8565.27 18293.96 2392.32 130
testdata296.09 9761.26 214
segment_acmp65.94 40
testdata81.34 17589.02 12457.72 24889.84 17958.65 26785.32 2994.09 6357.03 10693.28 18769.34 14790.56 6893.03 114
test1287.09 3394.60 2368.86 4392.91 7382.67 4865.44 4497.55 4093.69 3094.84 57
plane_prior786.94 15961.51 202
plane_prior687.23 15562.32 19450.66 182
plane_prior591.31 13095.55 11976.74 8978.53 14588.39 172
plane_prior489.14 131
plane_prior361.95 19879.09 4472.53 132
plane_prior187.15 156
n20.00 339
nn0.00 339
door-mid66.01 320
lessismore_v073.72 26472.93 29147.83 29461.72 32445.86 29573.76 26828.63 29689.81 25847.75 26531.37 31883.53 239
LGP-MVS_train79.56 20884.31 19359.37 23489.73 18569.49 18764.86 20588.42 13538.65 25194.30 15572.56 11672.76 17785.01 227
test1193.01 69
door66.57 319
HQP5-MVS63.66 174
BP-MVS77.63 86
HQP4-MVS74.18 11595.61 11688.63 167
HQP3-MVS91.70 11678.90 142
HQP2-MVS51.63 178
NP-MVS87.41 15463.04 18190.30 120
ACMMP++_ref71.63 184
ACMMP++69.72 193
Test By Simon54.21 151
ITE_SJBPF70.43 28374.44 28747.06 29777.32 29560.16 25954.04 26683.53 18123.30 30684.01 28943.07 27561.58 25380.21 282
DeepMVS_CXcopyleft34.71 31651.45 32024.73 32928.48 33431.46 31817.49 32352.75 3135.80 33042.60 33118.18 32319.42 32036.81 322