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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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
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.
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
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
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-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
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
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
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
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
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
#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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
.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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
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
MTGPAbinary80.97 95
test_post168.67 2443.64 33032.39 25469.49 25544.17 225
test_post3.55 33133.90 23466.52 266
patchmatchnet-post64.03 29834.50 22674.27 240
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
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
TEST985.58 2761.59 2581.62 6281.26 8655.65 16074.93 2288.81 3953.70 3984.68 94
test_885.40 3060.96 3281.54 6581.18 8955.86 15474.81 2588.80 4153.70 3984.45 99
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_prior462.51 1782.08 56
test_prior281.75 5860.37 7775.01 2089.06 3356.22 1772.19 3188.96 8
test_prior76.69 4384.20 4657.27 7084.88 1486.43 5386.38 40
旧先验276.08 16045.32 25576.55 1365.56 27258.75 131
新几何276.12 158
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
无先验79.66 8874.30 20848.40 22880.78 18053.62 15879.03 215
原ACMM279.02 94
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
test22283.14 5258.68 5572.57 21363.45 26441.78 27967.56 12486.12 7037.13 21378.73 10474.98 252
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
testdata172.65 21160.50 74
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_prior284.22 2264.52 23
plane_prior181.27 73
plane_prior56.31 8383.58 3163.19 3680.48 77
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
HQP-NCC80.66 8182.31 5062.10 5367.85 116
ACMP_Plane80.66 8182.31 5062.10 5367.85 116
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
MDTV_nov1_ep13_2view25.89 31761.22 27740.10 29151.10 27732.97 24338.49 25978.61 216
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
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