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
APDe-MVS80.16 280.59 278.86 1886.64 960.02 3988.12 186.42 462.94 3982.40 292.12 159.64 689.76 378.70 588.32 1586.79 37
SteuartSystems-ACMMP79.48 579.31 579.98 183.01 5562.18 1987.60 285.83 666.69 1078.03 990.98 454.26 3190.06 178.42 789.02 787.69 13
Skip Steuart: Steuart Systems R&D Blog.
CP-MVS77.12 2476.68 2478.43 2286.05 2263.18 787.55 383.45 4362.44 4972.68 5290.50 1248.18 10687.34 2973.59 2685.71 4184.76 106
HPM-MVS++79.88 380.14 379.10 1188.17 164.80 186.59 483.70 3765.37 1578.78 790.64 758.63 1187.24 3079.00 490.37 285.26 90
HFP-MVS78.01 1477.65 1479.10 1186.71 662.81 1086.29 584.32 2162.82 4373.96 3290.50 1253.20 4488.35 1374.02 2187.05 2886.13 51
region2R77.67 1877.18 2079.15 786.76 462.95 886.29 584.16 2562.81 4573.30 4490.58 949.90 6988.21 1773.78 2387.03 3086.29 49
ACMMPR77.71 1677.23 1979.16 686.75 562.93 986.29 584.24 2362.82 4373.55 4290.56 1049.80 7188.24 1674.02 2187.03 3086.32 47
HSP-MVS80.69 181.20 179.14 886.21 1662.73 1286.09 885.03 1265.51 1483.81 190.51 1163.71 189.23 581.51 188.44 1185.45 77
MP-MVScopyleft78.35 1178.26 1178.64 2086.54 1163.47 586.02 983.55 4063.89 3073.60 4190.60 854.85 2786.72 4377.20 1088.06 2085.74 65
XVS77.17 2376.56 2679.00 1486.32 1462.62 1485.83 1083.92 2964.55 2172.17 5790.01 2247.95 10888.01 2171.55 3586.74 3586.37 43
X-MVStestdata70.21 10367.28 13879.00 1486.32 1462.62 1485.83 1083.92 2964.55 2172.17 576.49 32947.95 10888.01 2171.55 3586.74 3586.37 43
3Dnovator+66.72 475.84 3774.57 4079.66 382.40 5959.92 4285.83 1086.32 566.92 867.80 12189.24 3242.03 16489.38 464.07 8586.50 3889.69 1
mPP-MVS76.54 2975.93 3178.34 2586.47 1263.50 485.74 1382.28 6362.90 4071.77 6090.26 1746.61 12686.55 5071.71 3485.66 4284.97 98
#test#77.83 1577.41 1779.10 1186.71 662.81 1085.69 1484.32 2161.61 6173.96 3290.50 1253.20 4488.35 1373.68 2487.05 2886.13 51
APD-MVScopyleft78.02 1378.04 1377.98 2986.44 1360.81 3485.52 1584.36 2060.61 7279.05 690.30 1655.54 2288.32 1573.48 2787.03 3084.83 101
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMMPcopyleft76.02 3375.33 3578.07 2785.20 3361.91 2285.49 1684.44 1863.04 3769.80 8189.74 2745.43 13787.16 3472.01 3382.87 5885.14 92
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
NCCC78.58 878.31 979.39 587.51 362.61 1685.20 1784.42 1966.73 974.67 2889.38 3055.30 2389.18 674.19 2087.34 2786.38 40
DeepC-MVS_fast68.24 377.25 2276.63 2579.12 1086.15 1860.86 3384.71 1884.85 1661.98 5873.06 4888.88 3853.72 3889.06 868.27 4688.04 2187.42 23
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SD-MVS77.70 1777.62 1577.93 3184.47 4461.88 2384.55 1983.87 3360.37 7779.89 489.38 3054.97 2585.58 6976.12 1284.94 4486.33 46
CNVR-MVS79.84 479.97 479.45 487.90 262.17 2084.37 2085.03 1266.96 577.58 1090.06 2059.47 889.13 778.67 689.73 387.03 32
PHI-MVS75.87 3675.36 3477.41 3580.62 8455.91 9484.28 2185.78 756.08 15373.41 4386.58 6450.94 6488.54 1170.79 3989.71 487.79 12
HQP_MVS74.31 4673.73 4776.06 5081.41 7056.31 8384.22 2284.01 2764.52 2369.27 9486.10 7145.26 14187.21 3268.16 4780.58 7484.65 107
plane_prior284.22 2264.52 23
DeepC-MVS69.38 278.56 978.14 1279.83 283.60 4961.62 2484.17 2486.85 263.23 3473.84 3790.25 1857.68 1289.96 274.62 1889.03 687.89 9
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CPTT-MVS72.78 6072.08 6274.87 7084.88 4261.41 2784.15 2577.86 16555.27 16467.51 12588.08 4741.93 16681.85 16069.04 4580.01 8481.35 185
TSAR-MVS + MP.78.44 1078.28 1078.90 1684.96 3761.41 2784.03 2683.82 3559.34 11179.37 589.76 2659.84 487.62 2776.69 1186.74 3587.68 14
API-MVS72.17 7071.41 6874.45 7981.95 6357.22 7284.03 2680.38 11259.89 9168.40 10682.33 13149.64 7287.83 2451.87 16984.16 5078.30 217
ACMMP_Plus78.77 778.78 778.74 1985.44 2961.04 3183.84 2885.16 1062.88 4178.10 891.26 352.51 4788.39 1279.34 390.52 186.78 38
APD-MVS_3200maxsize74.96 4074.39 4276.67 4582.20 6058.24 6083.67 2983.29 4958.41 12373.71 3990.14 1945.62 13285.99 6169.64 4182.85 5985.78 60
HPM-MVS_fast74.30 4773.46 5176.80 4284.45 4559.04 5083.65 3081.05 9160.15 8370.43 6789.84 2541.09 18185.59 6867.61 5382.90 5785.77 62
plane_prior56.31 8383.58 3163.19 3680.48 77
abl_674.34 4573.50 4876.86 4082.43 5860.16 3883.48 3281.86 7058.81 11773.95 3489.86 2441.87 16786.62 4667.98 4981.23 6983.80 139
MPTG77.61 1977.36 1878.35 2386.08 2063.57 283.37 3380.97 9565.13 1775.77 1690.88 548.63 9986.66 4477.23 888.17 1784.81 102
QAPM70.05 10568.81 10873.78 8876.54 16053.43 12083.23 3483.48 4152.89 18765.90 14386.29 6841.55 17586.49 5251.01 17578.40 10881.42 183
MCST-MVS77.48 2077.45 1677.54 3386.67 858.36 5883.22 3586.93 156.91 13774.91 2488.19 4459.15 987.68 2673.67 2587.45 2686.57 39
EPNet73.09 5872.16 6075.90 5275.95 16656.28 8583.05 3672.39 21866.53 1265.27 15087.00 5450.40 6785.47 7362.48 10286.32 3985.94 56
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DeepPCF-MVS69.58 179.03 679.00 679.13 984.92 4160.32 3783.03 3785.33 962.86 4280.17 390.03 2161.76 288.95 974.21 1988.67 1088.12 7
CSCG76.92 2576.75 2377.41 3583.96 4859.60 4382.95 3886.50 360.78 7075.27 1984.83 9060.76 386.56 4967.86 5087.87 2586.06 54
MP-MVS-pluss78.35 1178.46 878.03 2884.96 3759.52 4482.93 3985.39 862.15 5276.41 1491.51 252.47 4986.78 4280.66 289.64 587.80 11
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HPM-MVS77.28 2176.85 2278.54 2185.00 3660.81 3482.91 4085.08 1162.57 4673.09 4789.97 2350.90 6587.48 2875.30 1386.85 3387.33 27
MVSFormer71.50 7970.38 8374.88 6978.76 11257.15 7782.79 4178.48 15551.26 20669.49 8883.22 11643.99 15383.24 12466.06 6179.37 9384.23 122
test_djsdf69.45 11867.74 12474.58 7774.57 18354.92 10782.79 4178.48 15551.26 20665.41 14883.49 11438.37 20183.24 12466.06 6169.25 20785.56 70
ACMP63.53 672.30 6771.20 7475.59 6280.28 8857.54 6782.74 4382.84 6060.58 7365.24 15286.18 6939.25 19386.03 6066.95 5976.79 12483.22 153
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM61.98 770.80 8669.73 8974.02 8280.59 8558.59 5682.68 4482.02 6855.46 16367.18 12884.39 10138.51 19983.17 12660.65 12176.10 12880.30 200
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
AdaColmapbinary69.99 10768.66 11173.97 8484.94 3957.83 6382.63 4578.71 14856.28 14964.34 16484.14 10341.57 17287.06 3746.45 20578.88 10177.02 231
OPM-MVS74.73 4374.25 4376.19 4980.81 8059.01 5182.60 4683.64 3863.74 3272.52 5487.49 4947.18 11885.88 6569.47 4280.78 7083.66 146
PGM-MVS76.77 2876.06 2978.88 1786.14 1962.73 1282.55 4783.74 3661.71 5972.45 5690.34 1548.48 10388.13 1872.32 3086.85 3385.78 60
LPG-MVS_test72.74 6171.74 6475.76 5480.22 8957.51 6882.55 4783.40 4561.32 6366.67 13387.33 5239.15 19486.59 4767.70 5177.30 11883.19 155
114514_t70.83 8469.56 9474.64 7586.21 1654.63 10982.34 4981.81 7248.22 22963.01 17485.83 7840.92 18487.10 3657.91 13379.79 8882.18 173
HQP-NCC80.66 8182.31 5062.10 5367.85 116
ACMP_Plane80.66 8182.31 5062.10 5367.85 116
HQP-MVS73.45 5472.80 5675.40 6380.66 8154.94 10582.31 5083.90 3162.10 5367.85 11685.54 8445.46 13586.93 3867.04 5780.35 8084.32 115
MSLP-MVS++73.77 5373.47 5074.66 7383.02 5459.29 4882.30 5381.88 6959.34 11171.59 6286.83 5545.94 13083.65 11665.09 7085.22 4381.06 191
MVS_030575.96 3475.30 3677.97 3081.13 7757.59 6682.11 5483.22 5167.54 469.39 9285.95 7551.47 5788.72 1072.57 2984.29 4887.59 16
EPP-MVSNet72.16 7171.31 7274.71 7178.68 11549.70 18982.10 5581.65 7460.40 7665.94 14285.84 7751.74 5586.37 5555.93 14379.55 9288.07 8
test_prior462.51 1782.08 56
TSAR-MVS + GP.74.90 4174.15 4477.17 3882.00 6258.77 5481.80 5778.57 15158.58 11974.32 3084.51 9955.94 1987.22 3167.11 5684.48 4785.52 72
test_prior376.89 2776.96 2176.69 4384.20 4657.27 7081.75 5884.88 1460.37 7775.01 2089.06 3356.22 1786.43 5372.19 3188.96 886.38 40
test_prior281.75 5860.37 7775.01 2089.06 3356.22 1772.19 3188.96 8
agg_prior376.13 3275.89 3276.85 4185.76 2362.02 2181.65 6081.01 9455.51 16273.73 3888.60 4353.23 4384.90 8775.24 1588.33 1383.65 147
PS-MVSNAJss72.24 6871.21 7375.31 6578.50 11855.93 9381.63 6182.12 6556.24 15070.02 7585.68 8147.05 11984.34 10165.27 6974.41 13985.67 67
TEST985.58 2761.59 2581.62 6281.26 8655.65 16074.93 2288.81 3953.70 3984.68 94
train_agg76.27 3176.15 2876.64 4685.58 2761.59 2581.62 6281.26 8655.86 15474.93 2288.81 3953.70 3984.68 9475.24 1588.33 1383.65 147
MG-MVS73.96 5073.89 4674.16 8185.65 2549.69 19181.59 6481.29 8561.45 6271.05 6488.11 4551.77 5487.73 2561.05 12083.09 5385.05 95
test_885.40 3060.96 3281.54 6581.18 8955.86 15474.81 2588.80 4153.70 3984.45 99
agg_prior175.94 3576.01 3075.72 5685.04 3459.96 4081.44 6681.04 9256.14 15274.68 2688.90 3753.91 3584.04 10675.01 1787.92 2483.16 158
MAR-MVS71.51 7870.15 8675.60 6181.84 6459.39 4681.38 6782.90 5854.90 17068.08 11478.70 20347.73 11085.51 7251.68 17384.17 4981.88 178
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
CDPH-MVS76.31 3075.67 3378.22 2685.35 3259.14 4981.31 6884.02 2656.32 14774.05 3188.98 3653.34 4287.92 2369.23 4388.42 1287.59 16
OpenMVScopyleft61.03 968.85 12667.56 12772.70 13174.26 18953.99 11381.21 6981.34 8352.70 18862.75 17785.55 8338.86 19784.14 10448.41 19583.01 5479.97 204
DP-MVS Recon72.15 7270.73 7976.40 4886.57 1057.99 6281.15 7082.96 5557.03 13566.78 13285.56 8244.50 14788.11 1951.77 17180.23 8383.10 159
Vis-MVSNetpermissive72.18 6971.37 7074.61 7681.29 7255.41 10380.90 7178.28 16260.73 7169.23 9788.09 4644.36 15082.65 14857.68 13481.75 6685.77 62
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
jajsoiax68.25 14666.45 15973.66 9675.62 17055.49 10180.82 7278.51 15452.33 19264.33 16584.11 10428.28 27381.81 16263.48 9570.62 17883.67 145
mvs_tets68.18 15066.36 16373.63 9975.61 17155.35 10480.77 7378.56 15252.48 19164.27 16784.10 10527.45 27981.84 16163.45 9670.56 18083.69 142
DP-MVS65.68 18563.66 19271.75 15484.93 4056.87 8080.74 7473.16 21553.06 18559.09 22582.35 13036.79 21585.94 6432.82 28469.96 19772.45 273
3Dnovator64.47 572.49 6471.39 6975.79 5377.70 13858.99 5280.66 7583.15 5362.24 5165.46 14786.59 6342.38 16285.52 7159.59 12984.72 4582.85 164
mvs-test170.44 9868.19 11877.18 3776.10 16363.22 680.59 7676.06 18759.83 9366.32 13879.87 18841.56 17385.53 7060.60 12272.77 15682.80 165
ACMH+57.40 1166.12 18264.06 18572.30 14877.79 13752.83 12880.39 7778.03 16457.30 13257.47 23882.55 12727.68 27784.17 10345.54 21669.78 20079.90 205
canonicalmvs74.67 4474.98 3873.71 9478.94 10850.56 16380.23 7883.87 3360.30 8177.15 1186.56 6559.65 582.00 15866.01 6382.12 6288.58 4
IS-MVSNet71.57 7771.00 7673.27 11778.86 10945.63 22580.22 7978.69 14964.14 2866.46 13587.36 5149.30 7685.60 6750.26 18083.71 5188.59 3
Effi-MVS+-dtu69.64 11367.53 12975.95 5176.10 16362.29 1880.20 8076.06 18759.83 9365.26 15177.09 23141.56 17384.02 10960.60 12271.09 17581.53 181
nrg03072.96 5973.01 5472.84 12775.41 17450.24 17280.02 8182.89 5958.36 12574.44 2986.73 5658.90 1080.83 17865.84 6574.46 13787.44 22
PVSNet_Blended_VisFu71.45 8070.39 8274.65 7482.01 6158.82 5379.93 8280.35 11455.09 16665.82 14682.16 13749.17 9182.64 14960.34 12478.62 10682.50 169
PAPM_NR72.63 6271.80 6375.13 6781.72 6553.42 12179.91 8383.28 5059.14 11366.31 13985.90 7651.86 5386.06 5857.45 13680.62 7285.91 57
LS3D64.71 19762.50 20471.34 16379.72 9955.71 9679.82 8474.72 20448.50 22656.62 24284.62 9433.59 23882.34 15329.65 29675.23 13375.97 238
UGNet68.81 12767.39 13373.06 12178.33 12254.47 11079.77 8575.40 19360.45 7563.22 17184.40 10032.71 24980.91 17751.71 17280.56 7683.81 136
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
LFMVS71.78 7571.59 6572.32 14783.40 5146.38 22279.75 8671.08 22264.18 2772.80 5188.64 4242.58 16183.72 11457.41 13784.49 4686.86 35
OMC-MVS71.40 8170.60 8073.78 8876.60 15853.15 12479.74 8779.78 11758.37 12468.75 10186.45 6745.43 13780.60 18362.58 10077.73 11187.58 18
无先验79.66 8874.30 20848.40 22880.78 18053.62 15879.03 215
Effi-MVS+73.31 5672.54 5875.62 6077.87 13553.64 11679.62 8979.61 12161.63 6072.02 5982.61 12556.44 1585.97 6363.99 8879.07 10087.25 28
PAPR71.72 7670.82 7874.41 8081.20 7551.17 14879.55 9083.33 4855.81 15766.93 13184.61 9550.95 6386.06 5855.79 14679.20 9886.00 55
Regformer-175.47 3974.93 3977.09 3980.43 8657.70 6579.50 9182.13 6467.84 175.73 1880.75 17256.50 1486.07 5771.07 3880.38 7887.50 19
Regformer-275.63 3874.99 3777.54 3380.43 8658.32 5979.50 9182.92 5667.84 175.94 1580.75 17255.73 2086.80 4071.44 3780.38 7887.50 19
ACMH55.70 1565.20 19363.57 19370.07 18478.07 13052.01 14379.48 9379.69 11855.75 15856.59 24380.98 16427.12 28180.94 17542.90 23971.58 17077.25 230
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
原ACMM279.02 94
UA-Net73.13 5772.93 5573.76 9083.58 5051.66 14478.75 9577.66 16967.75 372.61 5389.42 2849.82 7083.29 12353.61 16083.14 5286.32 47
VDDNet71.81 7471.33 7173.26 11882.80 5747.60 21478.74 9675.27 19459.59 10472.94 4989.40 2941.51 17683.91 11158.75 13182.99 5588.26 5
v1070.21 10369.02 10673.81 8773.51 19350.92 15178.74 9681.39 8160.05 8566.39 13781.83 14147.58 11285.41 7662.80 9968.86 21085.09 94
v870.33 10169.28 10473.49 10473.15 20650.22 17378.62 9880.78 9960.79 6966.45 13682.11 13949.35 7484.98 8163.58 9468.71 21185.28 88
alignmvs73.86 5273.99 4573.45 10678.20 12550.50 16578.57 9982.43 6259.40 10976.57 1286.71 5856.42 1681.23 17165.84 6581.79 6488.62 2
PLCcopyleft56.13 1465.09 19463.21 19670.72 17681.04 7854.87 10878.57 9977.47 17248.51 22555.71 24781.89 14033.71 23679.71 19141.66 24670.37 18677.58 223
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v7n69.01 12567.36 13573.98 8372.51 22552.65 13078.54 10181.30 8460.26 8262.67 17881.62 14743.61 15584.49 9857.01 13968.70 21284.79 104
Regformer-373.89 5173.28 5375.71 5779.75 9555.48 10278.54 10179.93 11666.58 1173.62 4080.30 18254.87 2684.54 9769.09 4476.84 12287.10 31
Regformer-474.25 4873.48 4976.57 4779.75 9556.54 8278.54 10181.49 7866.93 773.90 3580.30 18253.84 3785.98 6269.76 4076.84 12287.17 29
COLMAP_ROBcopyleft52.97 1761.27 22258.81 22368.64 20074.63 18152.51 13478.42 10473.30 21349.92 21650.96 27881.51 15123.06 29879.40 19531.63 28965.85 22774.01 263
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
v770.57 9169.48 10073.85 8573.50 19450.92 15178.27 10581.43 7958.93 11469.61 8381.49 15247.56 11385.43 7563.94 8970.62 17885.21 91
v1368.29 14266.84 14872.63 13273.50 19450.83 15478.25 10679.58 12860.05 8560.76 20677.68 22049.11 9782.77 14062.17 10960.45 27384.30 117
CLD-MVS73.33 5572.68 5775.29 6678.82 11053.33 12278.23 10784.79 1761.30 6570.41 6881.04 16352.41 5087.12 3564.61 7582.49 6185.41 84
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
v1268.28 14366.83 15072.60 13473.43 19650.74 15678.18 10879.59 12660.01 8760.89 20577.66 22149.12 9482.77 14062.18 10760.46 27284.29 118
F-COLMAP63.05 20860.87 21469.58 19176.99 15653.63 11778.12 10976.16 18447.97 23352.41 27381.61 14827.87 27578.11 21240.07 25366.66 22377.00 232
v1neww70.66 8769.70 9073.53 10173.15 20650.22 17378.11 11080.68 10059.65 9969.83 7881.67 14449.29 7884.96 8364.55 7670.38 18485.42 80
v7new70.66 8769.70 9073.53 10173.15 20650.22 17378.11 11080.68 10059.65 9969.83 7881.67 14449.29 7884.96 8364.55 7670.38 18485.42 80
v670.66 8769.70 9073.53 10173.14 20950.21 17678.11 11080.67 10259.65 9969.82 8081.65 14649.29 7884.96 8364.55 7670.39 18385.42 80
v1768.37 14067.00 14572.48 13873.22 20250.31 16978.10 11379.58 12859.71 9761.67 19477.60 22349.31 7582.89 13462.37 10461.48 26284.23 122
v1668.38 13967.01 14472.47 14273.22 20250.29 17078.10 11379.59 12659.71 9761.72 19377.60 22349.28 8182.89 13462.36 10561.54 25984.23 122
V968.27 14466.84 14872.56 13573.39 19950.63 15978.10 11379.60 12359.94 8861.05 20377.62 22249.18 9082.77 14062.17 10960.48 27184.27 119
V1468.25 14666.82 15172.52 13773.33 20050.53 16478.02 11679.60 12359.83 9361.16 20177.57 22549.19 8982.77 14062.18 10760.50 27084.26 120
EG-PatchMatch MVS64.71 19762.87 19970.22 18177.68 13953.48 11977.99 11778.82 14553.37 18356.03 24677.41 23024.75 29584.04 10646.37 20673.42 15273.14 266
v1868.33 14166.96 14672.42 14473.13 21050.16 17877.97 11879.57 13059.57 10561.80 19177.50 22849.30 7682.90 13362.31 10661.50 26084.20 128
v1168.15 15166.73 15372.42 14473.43 19650.28 17177.94 11979.65 12059.88 9261.11 20277.55 22648.25 10582.75 14561.88 11660.85 26684.23 122
v1568.22 14966.81 15272.47 14273.25 20150.40 16777.92 12079.60 12359.77 9661.28 19977.52 22749.25 8582.77 14062.16 11160.51 26984.24 121
v114470.42 9969.31 10373.76 9073.22 20250.64 15877.83 12181.43 7958.58 11969.40 9181.16 16047.53 11485.29 7864.01 8770.64 17785.34 86
CNLPA65.43 18964.02 18669.68 18878.73 11458.07 6177.82 12270.71 22551.49 20261.57 19783.58 11238.23 20470.82 24943.90 22870.10 19580.16 202
VDD-MVS72.50 6372.09 6173.75 9281.58 6649.69 19177.76 12377.63 17063.21 3573.21 4589.02 3542.14 16383.32 12261.72 11782.50 6088.25 6
v114170.50 9469.53 9573.41 11072.92 21650.00 18377.69 12480.60 10459.50 10669.60 8481.43 15349.24 8884.77 9164.48 8070.30 19085.46 76
divwei89l23v2f11270.50 9469.53 9573.41 11072.91 21750.00 18377.69 12480.59 10559.50 10669.60 8481.43 15349.26 8384.77 9164.48 8070.31 18985.47 74
v170.50 9469.53 9573.42 10972.91 21750.00 18377.69 12480.59 10559.50 10669.59 8681.42 15549.26 8384.77 9164.49 7970.30 19085.47 74
v119269.97 10868.68 11073.85 8573.19 20550.94 14977.68 12781.36 8257.51 13168.95 10080.85 16845.28 14085.33 7762.97 9870.37 18685.27 89
v2v48270.50 9469.45 10273.66 9672.62 22350.03 18277.58 12880.51 10959.90 8969.52 8782.14 13847.53 11484.88 9065.07 7170.17 19386.09 53
WR-MVS_H67.02 16866.92 14767.33 21277.95 13437.75 27577.57 12982.11 6662.03 5762.65 17982.48 12850.57 6679.46 19442.91 23864.01 24284.79 104
v14419269.71 11068.51 11273.33 11473.10 21150.13 18077.54 13080.64 10356.65 14068.57 10480.55 17546.87 12484.96 8362.98 9769.66 20484.89 100
Fast-Effi-MVS+-dtu67.37 15965.33 17673.48 10572.94 21557.78 6477.47 13176.88 18057.60 13061.97 18976.85 23439.31 19280.49 18454.72 15170.28 19282.17 174
v192192069.47 11768.17 11973.36 11373.06 21250.10 18177.39 13280.56 10756.58 14468.59 10280.37 17844.72 14384.98 8162.47 10369.82 19985.00 96
GBi-Net67.21 16266.55 15669.19 19377.63 14143.33 24377.31 13377.83 16656.62 14165.04 15582.70 12141.85 16880.33 18647.18 19972.76 15783.92 132
test167.21 16266.55 15669.19 19377.63 14143.33 24377.31 13377.83 16656.62 14165.04 15582.70 12141.85 16880.33 18647.18 19972.76 15783.92 132
FMVSNet166.70 17465.87 16969.19 19377.49 14843.33 24377.31 13377.83 16656.45 14564.60 16282.70 12138.08 20680.33 18646.08 20972.31 16483.92 132
MVS_111021_HR74.02 4973.46 5175.69 5883.01 5560.63 3677.29 13678.40 16061.18 6670.58 6685.97 7454.18 3384.00 11067.52 5482.98 5682.45 170
v124069.24 12267.91 12273.25 11973.02 21449.82 18677.21 13780.54 10856.43 14668.34 10880.51 17643.33 15884.99 7962.03 11369.77 20284.95 99
MVS_test032667.73 15566.55 15671.28 16575.71 16847.88 20977.14 13878.26 16356.89 13860.74 20779.74 19135.74 22182.26 15457.39 13877.35 11483.71 141
jason69.65 11268.39 11673.43 10878.27 12456.88 7977.12 13973.71 21246.53 24369.34 9383.22 11643.37 15779.18 19964.77 7279.20 9884.23 122
jason: jason.
PAPM67.92 15366.69 15571.63 15778.09 12949.02 19877.09 14081.24 8851.04 20860.91 20483.98 10747.71 11184.99 7940.81 25079.32 9680.90 193
EI-MVSNet-Vis-set72.42 6671.59 6574.91 6878.47 12054.02 11277.05 14179.33 13865.03 1971.68 6179.35 19752.75 4684.89 8866.46 6074.23 14085.83 59
PEN-MVS66.60 17666.45 15967.04 21377.11 15136.56 28277.03 14280.42 11162.95 3862.51 18284.03 10646.69 12579.07 20244.22 22463.08 25085.51 73
FIs70.82 8571.43 6768.98 19678.33 12238.14 27276.96 14383.59 3961.02 6767.33 12786.73 5655.07 2481.64 16354.61 15479.22 9787.14 30
PS-CasMVS66.42 18066.32 16566.70 21677.60 14736.30 28676.94 14479.61 12162.36 5062.43 18683.66 10945.69 13178.37 20845.35 22163.26 24885.42 80
test_040263.25 20661.01 21369.96 18580.00 9354.37 11176.86 14572.02 22054.58 17358.71 22880.79 17035.00 22384.36 10026.41 30564.71 23671.15 285
CP-MVSNet66.49 17966.41 16266.72 21577.67 14036.33 28476.83 14679.52 13262.45 4862.54 18083.47 11546.32 12778.37 20845.47 21963.43 24785.45 77
MVS_dtu67.73 15566.31 16672.00 15077.04 15348.70 20176.70 14774.99 20257.07 13461.42 19881.29 15934.24 23082.66 14757.56 13576.47 12784.65 107
EI-MVSNet-UG-set71.92 7371.06 7574.52 7877.98 13353.56 11876.62 14879.16 14064.40 2571.18 6378.95 20252.19 5284.66 9665.47 6873.57 14985.32 87
lupinMVS69.57 11468.28 11773.44 10778.76 11257.15 7776.57 14973.29 21446.19 24769.49 8882.18 13443.99 15379.23 19864.66 7379.37 9383.93 131
TranMVSNet+NR-MVSNet70.36 10070.10 8771.17 16878.64 11642.97 24776.53 15081.16 9066.95 668.53 10585.42 8651.61 5683.07 12952.32 16769.70 20387.46 21
TAPA-MVS59.36 1066.60 17665.20 17870.81 17376.63 15748.75 20076.52 15180.04 11550.64 21065.24 15284.93 8939.15 19478.54 20736.77 26776.88 12185.14 92
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DTE-MVSNet65.58 18765.34 17566.31 21876.06 16534.79 29076.43 15279.38 13762.55 4761.66 19583.83 10845.60 13379.15 20041.64 24860.88 26585.00 96
anonymousdsp67.00 16964.82 18373.57 10070.09 25456.13 8876.35 15377.35 17648.43 22764.99 15880.84 16933.01 24280.34 18564.66 7367.64 22084.23 122
MVP-Stereo65.41 19063.80 18970.22 18177.62 14555.53 10076.30 15478.53 15350.59 21156.47 24478.65 20539.84 18782.68 14644.10 22772.12 16672.44 274
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MVS_Test72.45 6572.46 5972.42 14474.88 17848.50 20376.28 15583.14 5459.40 10972.46 5584.68 9255.66 2181.12 17265.98 6479.66 8987.63 15
v74867.26 16165.67 17172.02 14969.90 25849.77 18876.24 15679.57 13058.58 11960.49 21080.38 17744.47 14982.17 15656.16 14265.26 23384.12 130
IterMVS-LS69.22 12368.48 11371.43 16174.44 18649.40 19476.23 15777.55 17159.60 10265.85 14581.59 15051.28 5981.58 16659.87 12769.90 19883.30 151
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
新几何276.12 158
FMVSNet266.93 17066.31 16668.79 19977.63 14142.98 24676.11 15977.47 17256.62 14165.22 15482.17 13641.85 16880.18 18947.05 20272.72 16083.20 154
旧先验276.08 16045.32 25576.55 1365.56 27258.75 131
BH-untuned68.27 14467.29 13771.21 16679.74 9753.22 12376.06 16177.46 17457.19 13366.10 14081.61 14845.37 13983.50 11845.42 22076.68 12676.91 234
FC-MVSNet-test69.80 10970.58 8167.46 20977.61 14634.73 29276.05 16283.19 5260.84 6865.88 14486.46 6654.52 3080.76 18252.52 16678.12 10986.91 33
PCF-MVS61.88 870.95 8369.49 9975.35 6477.63 14155.71 9676.04 16381.81 7250.30 21269.66 8285.40 8752.51 4784.89 8851.82 17080.24 8285.45 77
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
UniMVSNet_NR-MVSNet71.11 8271.00 7671.44 15979.20 10244.13 23676.02 16482.60 6166.48 1368.20 10984.60 9656.82 1382.82 13854.62 15270.43 18187.36 26
UniMVSNet (Re)70.63 9070.20 8471.89 15178.55 11745.29 22675.94 16582.92 5663.68 3368.16 11183.59 11153.89 3683.49 11953.97 15671.12 17486.89 34
EPNet_dtu61.90 21561.97 20661.68 25172.89 21939.78 26375.85 16665.62 25255.09 16654.56 25979.36 19637.59 20967.02 26439.80 25676.95 12078.25 218
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v14868.24 14867.19 14271.40 16270.43 25047.77 21275.76 16777.03 17958.91 11567.36 12680.10 18648.60 10281.89 15960.01 12666.52 22584.53 111
SixPastTwentyTwo61.65 21958.80 22470.20 18375.80 16747.22 21775.59 16869.68 23254.61 17254.11 26479.26 19827.07 28282.96 13143.27 23349.79 30280.41 199
DELS-MVS74.76 4274.46 4175.65 5977.84 13652.25 13875.59 16884.17 2463.76 3173.15 4682.79 12059.58 786.80 4067.24 5586.04 4087.89 9
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
DI_MVS_plusplus_test69.35 11968.03 12173.30 11671.11 24450.14 17975.49 17079.16 14054.57 17462.45 18480.76 17144.67 14584.20 10264.23 8379.81 8785.54 71
Baseline_NR-MVSNet67.05 16767.56 12765.50 23075.65 16937.70 27675.42 17174.65 20559.90 8968.14 11283.15 11949.12 9477.20 22152.23 16869.78 20081.60 180
OpenMVS_ROBcopyleft52.78 1860.03 22558.14 22965.69 22970.47 24944.82 22875.33 17270.86 22445.04 25656.06 24576.00 24426.89 28479.65 19235.36 27667.29 22172.60 270
test_normal69.26 12167.90 12373.32 11570.84 24750.38 16875.30 17379.17 13954.23 17862.00 18880.61 17444.69 14483.89 11264.33 8279.95 8685.69 66
xiu_mvs_v1_base_debu68.58 13367.28 13872.48 13878.19 12657.19 7475.28 17475.09 19851.61 19870.04 7281.41 15632.79 24579.02 20363.81 9077.31 11581.22 187
xiu_mvs_v1_base68.58 13367.28 13872.48 13878.19 12657.19 7475.28 17475.09 19851.61 19870.04 7281.41 15632.79 24579.02 20363.81 9077.31 11581.22 187
xiu_mvs_v1_base_debi68.58 13367.28 13872.48 13878.19 12657.19 7475.28 17475.09 19851.61 19870.04 7281.41 15632.79 24579.02 20363.81 9077.31 11581.22 187
EI-MVSNet69.27 12068.44 11571.73 15574.47 18449.39 19575.20 17778.45 15759.60 10269.16 9876.51 24051.29 5882.50 15059.86 12871.45 17283.30 151
CVMVSNet59.63 23059.14 22261.08 25674.47 18438.84 26775.20 17768.74 23831.15 31158.24 23476.51 24032.39 25468.58 25949.77 18365.84 22875.81 242
xiu_mvs_v2_base70.52 9269.75 8872.84 12781.21 7455.63 9975.11 17978.92 14454.92 16969.96 7679.68 19347.00 12382.09 15761.60 11979.37 9380.81 195
K. test v360.47 22457.11 23470.56 17873.74 19248.22 20575.10 18062.55 27158.27 12653.62 26876.31 24227.81 27681.59 16547.42 19739.18 31481.88 178
Fast-Effi-MVS+70.28 10269.12 10573.73 9378.50 11851.50 14775.01 18179.46 13456.16 15168.59 10279.55 19453.97 3484.05 10553.34 16277.53 11385.65 69
DU-MVS70.01 10669.53 9571.44 15978.05 13144.13 23675.01 18181.51 7764.37 2668.20 10984.52 9749.12 9482.82 13854.62 15270.43 18187.37 24
FMVSNet366.32 18165.61 17268.46 20276.48 16142.34 25074.98 18377.15 17855.83 15665.04 15581.16 16039.91 18680.14 19047.18 19972.76 15782.90 163
MTAPA76.90 2676.42 2778.35 2386.08 2063.57 274.92 18480.97 9565.13 1775.77 1690.88 548.63 9986.66 4477.23 888.17 1784.81 102
PS-MVSNAJ70.51 9369.70 9072.93 12381.52 6755.79 9574.92 18479.00 14355.04 16869.88 7778.66 20447.05 11982.19 15561.61 11879.58 9080.83 194
MVS_111021_LR69.50 11668.78 10971.65 15678.38 12159.33 4774.82 18670.11 22858.08 12767.83 12084.68 9241.96 16576.34 23165.62 6777.54 11279.30 212
Test467.77 15465.97 16873.19 12068.64 26450.58 16074.80 18780.48 11054.13 17959.11 22479.07 20133.89 23583.12 12863.61 9379.98 8585.87 58
TransMVSNet (Re)64.72 19664.33 18465.87 22775.22 17538.56 26974.66 18875.08 20158.90 11661.79 19282.63 12451.18 6078.07 21343.63 23155.87 28480.99 192
BH-w/o66.85 17165.83 17069.90 18779.29 10052.46 13574.66 18876.65 18154.51 17564.85 15978.12 21045.59 13482.95 13243.26 23475.54 13274.27 260
PVSNet_BlendedMVS68.56 13667.72 12571.07 17177.03 15450.57 16174.50 19081.52 7553.66 18264.22 16879.72 19249.13 9282.87 13655.82 14473.92 14479.77 207
Anonymous2023121155.92 25053.63 25962.77 24668.22 27035.56 28874.48 19169.89 22946.42 24449.07 28573.45 26321.13 30376.77 22628.74 29851.30 29875.97 238
BH-RMVSNet68.81 12767.42 13272.97 12280.11 9252.53 13374.26 19276.29 18358.48 12268.38 10784.20 10242.59 16083.83 11346.53 20475.91 12982.56 166
NR-MVSNet69.54 11568.85 10771.59 15878.05 13143.81 24074.20 19380.86 9865.18 1662.76 17684.52 9752.35 5183.59 11750.96 17670.78 17687.37 24
VPA-MVSNet69.02 12469.47 10167.69 20877.42 14941.00 26074.04 19479.68 11960.06 8469.26 9684.81 9151.06 6277.58 21854.44 15574.43 13884.48 113
131464.61 19963.21 19668.80 19871.87 23647.46 21573.95 19578.39 16142.88 27659.97 21276.60 23938.11 20579.39 19654.84 15072.32 16379.55 208
112168.53 13767.16 14372.63 13285.64 2661.14 2973.95 19566.46 24944.61 26170.28 7086.68 5941.42 17780.78 18053.62 15881.79 6475.97 238
MVS67.37 15966.33 16470.51 17975.46 17350.94 14973.95 19581.85 7141.57 28362.54 18078.57 20847.98 10785.47 7352.97 16482.05 6375.14 248
OurMVSNet-221017-061.37 22158.63 22669.61 18972.05 23248.06 20773.93 19872.51 21747.23 23954.74 25680.92 16521.49 30281.24 17048.57 19456.22 28379.53 209
TAMVS66.78 17365.27 17771.33 16479.16 10553.67 11573.84 19969.59 23452.32 19365.28 14981.72 14344.49 14877.40 22042.32 24178.66 10582.92 161
WR-MVS68.47 13868.47 11468.44 20380.20 9139.84 26273.75 20076.07 18664.68 2068.11 11383.63 11050.39 6879.14 20149.78 18269.66 20486.34 45
v5267.09 16565.16 17972.87 12566.77 27851.60 14573.69 20179.45 13557.88 12862.46 18378.57 20840.95 18383.34 12061.99 11464.70 23883.68 143
V467.09 16565.16 17972.87 12566.76 27951.60 14573.69 20179.45 13557.88 12862.45 18478.58 20740.96 18283.34 12061.99 11464.71 23683.68 143
TR-MVS66.59 17865.07 18171.17 16879.18 10349.63 19373.48 20375.20 19652.95 18667.90 11580.33 18139.81 18883.68 11543.20 23573.56 15080.20 201
diffmvs67.72 15766.73 15370.70 17769.74 26047.69 21373.33 20474.74 20353.30 18464.51 16381.80 14249.25 8579.02 20359.15 13074.75 13585.39 85
CDS-MVSNet66.80 17265.37 17471.10 17078.98 10753.13 12673.27 20571.07 22352.15 19464.72 16080.23 18543.56 15677.10 22245.48 21878.88 10183.05 160
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
pmmvs663.69 20462.82 20166.27 22070.63 24839.27 26673.13 20675.47 19252.69 18959.75 21782.30 13239.71 18977.03 22447.40 19864.35 24182.53 167
IB-MVS56.42 1265.40 19162.73 20273.40 11274.89 17752.78 12973.09 20775.13 19755.69 15958.48 23373.73 26132.86 24486.32 5650.63 17770.11 19481.10 190
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
testing_266.02 18363.77 19072.76 13066.03 28450.48 16672.93 20880.36 11354.41 17654.25 26376.76 23630.89 25883.16 12764.19 8474.08 14284.65 107
V4268.65 13167.35 13672.56 13568.93 26350.18 17772.90 20979.47 13356.92 13669.45 9080.26 18446.29 12882.99 13064.07 8567.82 21784.53 111
tpmp4_e2362.71 21060.13 21770.45 18073.40 19848.39 20472.82 21069.49 23644.88 25759.91 21374.99 25237.79 20881.47 16840.22 25267.71 21981.48 182
testdata172.65 21160.50 74
pm-mvs165.24 19264.97 18266.04 22372.38 22639.40 26572.62 21275.63 19055.53 16162.35 18783.18 11847.45 11676.47 22949.06 19066.54 22482.24 172
test22283.14 5258.68 5572.57 21363.45 26441.78 27967.56 12486.12 7037.13 21378.73 10474.98 252
PVSNet_Blended68.59 13267.72 12571.19 16777.03 15450.57 16172.51 21481.52 7551.91 19664.22 16877.77 21849.13 9282.87 13655.82 14479.58 9080.14 203
EU-MVSNet55.61 25354.41 25359.19 25965.41 28733.42 29872.44 21571.91 22128.81 31351.27 27673.87 26024.76 29469.08 25743.04 23658.20 28075.06 249
pmmvs-eth3d58.81 23256.31 24266.30 21967.61 27252.42 13772.30 21664.76 25743.55 27054.94 25574.19 25928.95 27072.60 24343.31 23257.21 28173.88 264
cascas65.98 18463.42 19473.64 9877.26 15052.58 13272.26 21777.21 17748.56 22461.21 20074.60 25632.57 25385.82 6650.38 17976.75 12582.52 168
VPNet67.52 15868.11 12065.74 22879.18 10336.80 28072.17 21872.83 21662.04 5667.79 12285.83 7848.88 9876.60 22851.30 17472.97 15583.81 136
MS-PatchMatch62.42 21161.46 20965.31 23275.21 17652.10 13972.05 21974.05 21046.41 24557.42 23974.36 25734.35 22977.57 21945.62 21573.67 14666.26 296
mvs_anonymous68.03 15267.51 13069.59 19072.08 23144.57 23371.99 22075.23 19551.67 19767.06 12982.57 12654.68 2877.94 21456.56 14075.71 13186.26 50
pmmvs461.48 22059.39 22067.76 20771.57 23853.86 11471.42 22165.34 25344.20 26559.46 21877.92 21435.90 21874.71 23843.87 22964.87 23574.71 257
1112_ss64.00 20363.36 19565.93 22679.28 10142.58 24971.35 22272.36 21946.41 24560.55 20977.89 21546.27 12973.28 24146.18 20769.97 19681.92 177
CostFormer64.04 20262.51 20368.61 20171.88 23545.77 22471.30 22370.60 22647.55 23664.31 16676.61 23841.63 17179.62 19349.74 18469.00 20880.42 198
IterMVS62.79 20961.27 21167.35 21169.37 26152.04 14271.17 22468.24 24152.63 19059.82 21576.91 23337.32 21172.36 24452.80 16563.19 24977.66 222
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Vis-MVSNet (Re-imp)63.69 20463.88 18863.14 24374.75 17931.04 30671.16 22563.64 26356.32 14759.80 21684.99 8844.51 14675.46 23439.12 25780.62 7282.92 161
tpm262.07 21460.10 21867.99 20572.79 22043.86 23971.05 22666.85 24743.14 27462.77 17575.39 25038.32 20280.80 17941.69 24568.88 20979.32 211
DWT-MVSNet_test61.90 21559.93 21967.83 20671.98 23446.09 22371.03 22769.71 23050.09 21358.51 23270.62 27630.21 26377.63 21749.28 18867.91 21579.78 206
TDRefinement53.44 26250.72 26861.60 25264.31 29246.96 21870.89 22865.27 25541.78 27944.61 29877.98 21111.52 31966.36 26728.57 30051.59 29671.49 282
XVG-ACMP-BASELINE64.36 20162.23 20570.74 17572.35 22752.45 13670.80 22978.45 15753.84 18159.87 21481.10 16216.24 30879.32 19755.64 14871.76 16880.47 197
XVG-OURS-SEG-HR68.81 12767.47 13172.82 12974.40 18756.87 8070.59 23079.04 14254.77 17166.99 13086.01 7339.57 19178.21 21162.54 10173.33 15383.37 150
VNet69.68 11170.19 8568.16 20479.73 9841.63 25670.53 23177.38 17560.37 7770.69 6586.63 6151.08 6177.09 22353.61 16081.69 6885.75 64
GA-MVS65.53 18863.70 19171.02 17270.87 24648.10 20670.48 23274.40 20756.69 13964.70 16176.77 23533.66 23781.10 17355.42 14970.32 18883.87 135
MSDG61.81 21859.23 22169.55 19272.64 22252.63 13170.45 23375.81 18951.38 20453.70 26676.11 24329.52 26681.08 17437.70 26265.79 22974.93 253
ab-mvs66.65 17566.42 16167.37 21076.17 16241.73 25470.41 23476.14 18553.99 18065.98 14183.51 11349.48 7376.24 23248.60 19373.46 15184.14 129
PatchFormer-LS_test62.20 21360.59 21567.04 21372.18 23046.82 22070.36 23568.62 23951.92 19559.19 22370.23 27936.86 21475.07 23650.23 18165.68 23079.23 213
MVSTER67.16 16465.58 17371.88 15270.37 25249.70 18970.25 23678.45 15751.52 20169.16 9880.37 17838.45 20082.50 15060.19 12571.46 17183.44 149
XVG-OURS68.76 13067.37 13472.90 12474.32 18857.22 7270.09 23778.81 14655.24 16567.79 12285.81 8036.54 21778.28 21062.04 11275.74 13083.19 155
HY-MVS56.14 1364.55 20063.89 18766.55 21774.73 18041.02 25869.96 23874.43 20649.29 21861.66 19580.92 16547.43 11776.68 22744.91 22371.69 16981.94 176
AllTest57.08 24454.65 25164.39 23771.44 23949.03 19669.92 23967.30 24345.97 25047.16 28979.77 18917.47 30567.56 26133.65 28159.16 27776.57 235
tpmrst58.24 23658.70 22556.84 27166.97 27534.32 29469.57 24061.14 27747.17 24058.58 23171.60 27041.28 18060.41 28749.20 18962.84 25175.78 243
PatchmatchNetpermissive59.84 22758.24 22764.65 23673.05 21346.70 22169.42 24162.18 27347.55 23658.88 22771.96 26934.49 22769.16 25642.99 23763.60 24578.07 220
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
GG-mvs-BLEND62.34 24871.36 24337.04 27969.20 24257.33 29054.73 25765.48 29730.37 26077.82 21534.82 27774.93 13472.17 279
HyFIR lowres test65.67 18663.01 19873.67 9579.97 9455.65 9869.07 24375.52 19142.68 27763.53 17077.95 21240.43 18581.64 16346.01 21071.91 16783.73 140
test_post168.67 2443.64 33032.39 25469.49 25544.17 225
Test_1112_low_res62.32 21261.77 20764.00 23979.08 10639.53 26468.17 24570.17 22743.25 27259.03 22679.90 18744.08 15171.24 24843.79 23068.42 21381.25 186
tpm cat159.25 23156.95 23766.15 22172.19 22946.96 21868.09 24665.76 25140.03 29257.81 23670.56 27738.32 20274.51 23938.26 26061.50 26077.00 232
tpmvs58.47 23456.95 23763.03 24570.20 25341.21 25767.90 24767.23 24549.62 21754.73 25770.84 27534.14 23176.24 23236.64 27061.29 26371.64 281
tpm57.34 24258.16 22854.86 27971.80 23734.77 29167.47 24856.04 29848.20 23060.10 21176.92 23237.17 21253.41 31340.76 25165.01 23476.40 237
gg-mvs-nofinetune57.86 23956.43 24162.18 24972.62 22335.35 28966.57 24956.33 29550.65 20957.64 23757.10 31130.65 25976.36 23037.38 26478.88 10174.82 255
TinyColmap54.14 25751.72 26561.40 25466.84 27741.97 25166.52 25068.51 24044.81 25842.69 30675.77 24711.66 31872.94 24231.96 28656.77 28269.27 292
pmmvs556.47 24555.68 24658.86 26161.41 30136.71 28166.37 25162.75 27040.38 29053.70 26676.62 23734.56 22567.05 26340.02 25565.27 23272.83 268
CHOSEN 1792x268865.08 19562.84 20071.82 15381.49 6956.26 8666.32 25274.20 20940.53 28963.16 17378.65 20541.30 17877.80 21645.80 21274.09 14181.40 184
PM-MVS52.33 26650.19 26958.75 26262.10 29845.14 22765.75 25340.38 32443.60 26953.52 26972.65 2659.16 32465.87 27150.41 17854.18 29065.24 298
MIMVSNet155.17 25554.31 25457.77 26870.03 25532.01 30365.68 25464.81 25649.19 21946.75 29276.00 24425.53 29164.04 27528.65 29962.13 25677.26 229
PatchMatch-RL56.25 24854.55 25261.32 25577.06 15256.07 9065.57 25554.10 30744.13 26753.49 27171.27 27425.20 29266.78 26536.52 27263.66 24461.12 305
test-LLR58.15 23858.13 23058.22 26468.57 26544.80 22965.46 25657.92 28750.08 21455.44 25069.82 28232.62 25057.44 29649.66 18673.62 14772.41 275
TESTMET0.1,155.28 25454.90 25056.42 27266.56 28043.67 24165.46 25656.27 29639.18 29553.83 26567.44 28924.21 29655.46 31048.04 19673.11 15470.13 288
test-mter56.42 24655.82 24558.22 26468.57 26544.80 22965.46 25657.92 28739.94 29355.44 25069.82 28221.92 30157.44 29649.66 18673.62 14772.41 275
CR-MVSNet59.91 22657.90 23265.96 22469.96 25652.07 14065.31 25963.15 26742.48 27859.36 21974.84 25335.83 21970.75 25045.50 21764.65 23975.06 249
RPMNet58.70 23356.29 24365.96 22469.96 25652.07 14065.31 25962.15 27443.20 27359.36 21970.15 28135.37 22270.75 25036.42 27364.65 23975.06 249
USDC56.35 24754.24 25562.69 24764.74 28940.31 26165.05 26173.83 21143.93 26847.58 28777.71 21915.36 31075.05 23738.19 26161.81 25772.70 269
MDTV_nov1_ep1357.00 23672.73 22138.26 27165.02 26264.73 25844.74 25955.46 24972.48 26632.61 25270.47 25237.47 26367.75 218
CMPMVSbinary42.80 2157.81 24055.97 24463.32 24160.98 30447.38 21664.66 26369.50 23532.06 31046.83 29177.80 21729.50 26771.36 24748.68 19273.75 14571.21 284
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
RPSCF55.80 25254.22 25660.53 25765.13 28842.91 24864.30 26457.62 28936.84 30258.05 23582.28 13328.01 27456.24 30637.14 26558.61 27982.44 171
XXY-MVS60.68 22361.67 20857.70 26970.43 25038.45 27064.19 26566.47 24848.05 23263.22 17180.86 16749.28 8160.47 28645.25 22267.28 22274.19 261
FMVSNet555.86 25154.93 24958.66 26371.05 24536.35 28364.18 26662.48 27246.76 24250.66 28174.73 25525.80 28964.04 27533.11 28365.57 23175.59 245
Patchmatch-test159.75 22858.00 23164.98 23474.14 19148.06 20763.35 26763.23 26649.13 22059.33 22271.46 27137.45 21069.59 25441.39 24962.57 25377.30 226
Patchmtry57.16 24356.47 24059.23 25869.17 26234.58 29362.98 26863.15 26744.53 26256.83 24174.84 25335.83 21968.71 25840.03 25460.91 26474.39 259
Anonymous2023120655.10 25655.30 24854.48 28169.81 25933.94 29662.91 26962.13 27541.08 28455.18 25475.65 24832.75 24856.59 30230.32 29467.86 21672.91 267
MIMVSNet57.35 24157.07 23558.22 26474.21 19037.18 27762.46 27060.88 27848.88 22255.29 25375.99 24631.68 25662.04 28231.87 28772.35 16275.43 247
dp51.89 26851.60 26652.77 28868.44 26832.45 30162.36 27154.57 30344.16 26649.31 28467.91 28628.87 27256.61 30133.89 28054.89 28769.24 293
EPMVS53.96 25853.69 25854.79 28066.12 28331.96 30462.34 27249.05 31444.42 26455.54 24871.33 27330.22 26256.70 30041.65 24762.54 25475.71 244
pmmvs344.92 28341.95 28853.86 28252.58 31843.55 24262.11 27346.90 32126.05 31740.63 31060.19 30811.08 32157.91 29531.83 28846.15 30860.11 307
PVSNet50.76 1958.40 23557.39 23361.42 25375.53 17244.04 23861.43 27463.45 26447.04 24156.91 24073.61 26227.00 28364.76 27339.12 25772.40 16175.47 246
LCM-MVSNet-Re61.88 21761.35 21063.46 24074.58 18231.48 30561.42 27558.14 28658.71 11853.02 27279.55 19443.07 15976.80 22545.69 21377.96 11082.11 175
test20.0353.87 26054.02 25753.41 28561.47 30028.11 31261.30 27659.21 28251.34 20552.09 27477.43 22933.29 24158.55 29329.76 29560.27 27473.58 265
MDTV_nov1_ep13_2view25.89 31761.22 27740.10 29151.10 27732.97 24338.49 25978.61 216
PMMVS53.96 25853.26 26256.04 27362.60 29750.92 15161.17 27856.09 29732.81 30853.51 27066.84 29134.04 23259.93 28944.14 22668.18 21457.27 311
WTY-MVS59.75 22860.39 21657.85 26772.32 22837.83 27461.05 27964.18 26145.95 25261.91 19079.11 20047.01 12260.88 28542.50 24069.49 20674.83 254
Patchmatch-RL test58.16 23755.49 24766.15 22167.92 27148.89 19960.66 28051.07 31147.86 23459.36 21962.71 30434.02 23372.27 24556.41 14159.40 27677.30 226
LTVRE_ROB55.42 1663.15 20761.23 21268.92 19776.57 15947.80 21059.92 28176.39 18254.35 17758.67 22982.46 12929.44 26881.49 16742.12 24271.14 17377.46 224
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
test0.0.03 153.32 26353.59 26052.50 28962.81 29629.45 30959.51 28254.11 30650.08 21454.40 26174.31 25832.62 25055.92 30730.50 29363.95 24372.15 280
UnsupCasMVSNet_eth53.16 26552.47 26355.23 27659.45 31133.39 29959.43 28369.13 23745.98 24950.35 28372.32 26729.30 26958.26 29442.02 24444.30 31174.05 262
MVS-HIRNet45.52 28244.48 28448.65 29768.49 26734.05 29559.41 28444.50 32227.03 31537.96 31350.47 31826.16 28864.10 27426.74 30459.52 27547.82 315
testgi51.90 26752.37 26450.51 29460.39 30723.55 32358.42 28558.15 28549.03 22151.83 27579.21 19922.39 29955.59 30829.24 29762.64 25272.40 277
PatchT53.17 26453.44 26152.33 29068.29 26925.34 32058.21 28654.41 30444.46 26354.56 25969.05 28433.32 24060.94 28436.93 26661.76 25870.73 287
sss56.17 24956.57 23954.96 27866.93 27636.32 28557.94 28761.69 27641.67 28158.64 23075.32 25138.72 19856.25 30542.04 24366.19 22672.31 278
UnsupCasMVSNet_bld50.07 27348.87 27253.66 28360.97 30533.67 29757.62 28864.56 25939.47 29447.38 28864.02 30027.47 27859.32 29034.69 27843.68 31267.98 295
ANet_high41.38 29037.47 29453.11 28639.73 32824.45 32256.94 28969.69 23147.65 23526.04 31952.32 31412.44 31562.38 28121.80 31310.61 32872.49 272
MDA-MVSNet-bldmvs53.87 26050.81 26763.05 24466.25 28148.58 20256.93 29063.82 26248.09 23141.22 30770.48 27830.34 26168.00 26034.24 27945.92 30972.57 271
testmv42.25 28840.11 29148.66 29653.23 31627.02 31556.62 29155.74 30037.25 29933.10 31559.52 3097.78 32656.58 30319.61 31838.13 31662.40 302
test1234.73 3116.30 3120.02 3220.01 3350.01 33656.36 2920.00 3370.01 3310.04 3320.21 3340.01 3390.00 3340.03 3320.00 3310.04 329
test123567845.66 28044.46 28549.26 29559.88 30928.68 31156.36 29255.54 30139.12 29640.89 30963.40 30214.41 31257.32 29821.05 31449.47 30461.78 303
LF4IMVS42.95 28742.26 28745.04 30248.30 32232.50 30054.80 29448.49 31628.03 31440.51 31170.16 2809.24 32343.89 32331.63 28949.18 30658.72 308
PMVScopyleft28.69 2236.22 29533.29 29945.02 30336.82 33035.98 28754.68 29548.74 31526.31 31621.02 32151.61 3162.88 33460.10 2889.99 32747.58 30738.99 320
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PVSNet_043.31 2047.46 27945.64 27952.92 28767.60 27344.65 23154.06 29654.64 30241.59 28246.15 29358.75 31030.99 25758.66 29232.18 28524.81 32055.46 312
testmvs4.52 3126.03 3130.01 3230.01 3350.00 33753.86 2970.00 3370.01 3310.04 3320.27 3330.00 3400.00 3340.04 3310.00 3310.03 330
testus44.59 28443.87 28646.76 30059.85 31024.65 32153.86 29755.82 29936.26 30343.97 30263.42 3018.39 32553.14 31420.70 31652.52 29462.51 301
111144.40 28545.00 28242.61 30657.55 31417.33 32853.82 29957.05 29140.78 28744.11 30066.57 29213.37 31345.77 32022.15 31049.58 30364.73 300
.test124534.88 29739.49 29221.04 31857.55 31417.33 32853.82 29957.05 29140.78 28744.11 30066.57 29213.37 31345.77 32022.15 3100.00 3310.03 330
test235645.61 28144.66 28348.47 29860.15 30828.08 31352.44 30152.83 31038.01 29846.13 29460.98 30615.08 31155.54 30920.43 31755.85 28561.78 303
LP48.51 27545.51 28057.52 27062.86 29544.53 23552.38 30259.84 28038.11 29742.81 30561.02 30523.23 29763.02 27824.10 30845.24 31065.02 299
YYNet150.73 27148.96 27056.03 27461.10 30341.78 25351.94 30356.44 29440.94 28644.84 29667.80 28830.08 26455.08 31136.77 26750.71 29971.22 283
MDA-MVSNet_test_wron50.71 27248.95 27156.00 27561.17 30241.84 25251.90 30456.45 29340.96 28544.79 29767.84 28730.04 26555.07 31236.71 26950.69 30071.11 286
ADS-MVSNet251.33 27048.76 27359.07 26066.02 28544.60 23250.90 30559.76 28136.90 30050.74 27966.18 29526.38 28563.11 27727.17 30154.76 28869.50 290
ADS-MVSNet48.48 27647.77 27550.63 29366.02 28529.92 30850.90 30550.87 31336.90 30050.74 27966.18 29526.38 28552.47 31527.17 30154.76 28869.50 290
FPMVS42.18 28941.11 28945.39 30158.03 31341.01 25949.50 30753.81 30830.07 31233.71 31464.03 29811.69 31752.08 31614.01 32355.11 28643.09 318
N_pmnet39.35 29340.28 29036.54 31063.76 2931.62 33549.37 3080.76 33634.62 30643.61 30366.38 29426.25 28742.57 32526.02 30751.77 29565.44 297
new-patchmatchnet47.56 27847.73 27647.06 29958.81 3129.37 33148.78 30959.21 28243.28 27144.22 29968.66 28525.67 29057.20 29931.57 29149.35 30574.62 258
JIA-IIPM51.56 26947.68 27763.21 24264.61 29050.73 15747.71 31058.77 28442.90 27548.46 28651.72 31524.97 29370.24 25336.06 27553.89 29168.64 294
ambc65.13 23363.72 29437.07 27847.66 31178.78 14754.37 26271.42 27211.24 32080.94 17545.64 21453.85 29277.38 225
PNet_i23d27.88 30225.99 30233.55 31247.54 32325.89 31747.24 31232.91 32821.44 32215.90 32438.09 3210.85 33642.76 32416.90 31913.03 32632.00 322
Patchmatch-test49.08 27448.28 27451.50 29264.40 29130.85 30745.68 31348.46 31735.60 30446.10 29572.10 26834.47 22846.37 31927.08 30360.65 26877.27 228
DSMNet-mixed39.30 29438.72 29341.03 30751.22 31919.66 32545.53 31431.35 32915.83 32539.80 31267.42 29022.19 30045.13 32222.43 30952.69 29358.31 309
LCM-MVSNet40.30 29235.88 29753.57 28442.24 32529.15 31045.21 31560.53 27922.23 32128.02 31850.98 3173.72 33261.78 28331.22 29238.76 31569.78 289
test1235636.16 29635.94 29636.83 30950.82 3208.52 33244.84 31653.49 30932.72 30930.11 31755.08 3127.11 32849.47 31716.60 32032.68 31852.50 313
new_pmnet34.13 29934.29 29833.64 31152.63 31718.23 32744.43 31733.90 32722.81 32030.89 31653.18 31310.48 32235.72 32920.77 31539.51 31346.98 316
E-PMN23.77 30422.73 30526.90 31642.02 32620.67 32442.66 31835.70 32517.43 32310.28 32825.05 3256.42 32942.39 32610.28 32614.71 32317.63 324
no-one40.85 29136.09 29555.14 27748.55 32138.72 26842.15 31962.92 26934.60 30723.55 32049.74 31912.21 31666.16 26926.27 30624.84 31960.54 306
EMVS22.97 30521.84 30726.36 31740.20 32719.53 32641.95 32034.64 32617.09 3249.73 32922.83 3277.29 32742.22 3279.18 32813.66 32517.32 325
CHOSEN 280x42047.83 27746.36 27852.24 29167.37 27449.78 18738.91 32143.11 32335.00 30543.27 30463.30 30328.95 27049.19 31836.53 27160.80 26757.76 310
wuykxyi23d28.12 30122.54 30644.87 30434.97 33132.11 30237.96 32247.31 31913.32 3269.29 33023.72 3260.45 33756.58 30321.85 31213.98 32445.93 317
testpf44.11 28645.40 28140.26 30860.52 30627.34 31433.26 32354.33 30545.87 25341.08 30860.26 30716.46 30759.14 29146.09 20850.68 30134.31 321
PMMVS227.40 30325.91 30331.87 31439.46 3296.57 33331.17 32428.52 33023.96 31820.45 32248.94 3204.20 33137.94 32816.51 32119.97 32151.09 314
wuyk23d13.32 30812.52 30915.71 31947.54 32326.27 31631.06 3251.98 3354.93 3295.18 3311.94 3320.45 33718.54 3316.81 33012.83 3272.33 328
Gipumacopyleft34.77 29831.91 30043.33 30562.05 29937.87 27320.39 32667.03 24623.23 31918.41 32325.84 3244.24 33062.73 27914.71 32251.32 29729.38 323
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MVEpermissive17.77 2321.41 30617.77 30832.34 31334.34 33225.44 31916.11 32724.11 33111.19 32713.22 32631.92 3221.58 33530.95 33010.47 32517.03 32240.62 319
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tmp_tt9.43 30911.14 3104.30 3212.38 3344.40 33413.62 32816.08 3330.39 33015.89 32513.06 32815.80 3095.54 33312.63 32410.46 3292.95 327
cdsmvs_eth3d_5k17.50 30723.34 3040.00 3240.00 3370.00 3370.00 32978.63 1500.00 3330.00 33482.18 13449.25 850.00 3340.00 3330.00 3310.00 332
pcd_1.5k_mvsjas3.92 3135.23 3140.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 33547.05 1190.00 3340.00 3330.00 3310.00 332
pcd1.5k->3k30.06 30030.56 30128.55 31578.81 1110.00 3370.00 32982.07 670.00 3330.00 3340.00 33539.61 1900.00 3340.00 33374.56 13685.66 68
sosnet-low-res0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
sosnet0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
uncertanet0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
Regformer0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
ab-mvs-re6.49 3108.65 3110.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 33477.89 2150.00 3400.00 3340.00 3330.00 3310.00 332
uanet0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
sam_mvs134.74 224
sam_mvs33.43 239
semantic-postprocess65.40 23171.99 23350.80 15569.63 23345.71 25460.61 20877.93 21336.56 21665.99 27055.67 14763.50 24679.42 210
MTGPAbinary80.97 95
test_post3.55 33133.90 23466.52 266
patchmatchnet-post64.03 29834.50 22674.27 240
MTMP17.08 332
gm-plane-assit71.40 24241.72 25548.85 22373.31 26482.48 15248.90 191
test9_res75.28 1488.31 1683.81 136
agg_prior273.09 2887.93 2384.33 114
agg_prior85.04 3459.96 4081.04 9274.68 2684.04 106
TestCases64.39 23771.44 23949.03 19667.30 24345.97 25047.16 28979.77 18917.47 30567.56 26133.65 28159.16 27776.57 235
test_prior76.69 4384.20 4657.27 7084.88 1486.43 5386.38 40
新几何170.76 17485.66 2461.13 3066.43 25044.68 26070.29 6986.64 6041.29 17975.23 23549.72 18581.75 6675.93 241
旧先验183.04 5353.15 12467.52 24287.85 4844.08 15180.76 7178.03 221
原ACMM174.69 7285.39 3159.40 4583.42 4451.47 20370.27 7186.61 6248.61 10186.51 5153.85 15787.96 2278.16 219
testdata272.18 24646.95 203
segment_acmp54.23 32
testdata64.66 23581.52 6752.93 12765.29 25446.09 24873.88 3687.46 5038.08 20666.26 26853.31 16378.48 10774.78 256
test1277.76 3284.52 4358.41 5783.36 4772.93 5054.61 2988.05 2088.12 1986.81 36
plane_prior781.41 7055.96 92
plane_prior681.20 7556.24 8745.26 141
plane_prior584.01 2787.21 3268.16 4780.58 7484.65 107
plane_prior486.10 71
plane_prior356.09 8963.92 2969.27 94
plane_prior181.27 73
n20.00 337
nn0.00 337
door-mid47.19 320
lessismore_v069.91 18671.42 24147.80 21050.90 31250.39 28275.56 24927.43 28081.33 16945.91 21134.10 31780.59 196
LGP-MVS_train75.76 5480.22 8957.51 6883.40 4561.32 6366.67 13387.33 5239.15 19486.59 4767.70 5177.30 11883.19 155
test1183.47 42
door47.60 318
HQP5-MVS54.94 105
BP-MVS67.04 57
HQP4-MVS67.85 11686.93 3884.32 115
HQP3-MVS83.90 3180.35 80
HQP2-MVS45.46 135
NP-MVS80.98 7956.05 9185.54 84
ACMMP++_ref74.07 143
ACMMP++72.16 165
Test By Simon48.33 104
ITE_SJBPF62.09 25066.16 28244.55 23464.32 26047.36 23855.31 25280.34 18019.27 30462.68 28036.29 27462.39 25579.04 214
DeepMVS_CXcopyleft12.03 32017.97 33310.91 33010.60 3347.46 32811.07 32728.36 3233.28 33311.29 3328.01 3299.74 33013.89 326