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
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
APDe-MVS88.00 190.50 185.08 190.95 491.58 292.03 175.53 691.15 180.10 792.27 188.34 480.80 188.00 986.99 1291.09 495.16 1
HPM-MVS++87.09 288.92 684.95 292.61 187.91 2990.23 776.06 288.85 581.20 487.33 787.93 579.47 488.59 488.23 490.15 2593.60 13
SD-MVS86.94 389.64 283.78 890.13 1389.23 1589.26 1373.46 1789.17 380.70 591.32 289.67 178.47 687.57 1286.79 1590.67 1093.76 9
TSAR-MVS + MP.86.88 489.23 384.14 689.78 1888.67 2290.59 373.46 1788.99 480.52 691.26 388.65 279.91 386.96 2186.22 2290.59 1193.83 7
APD-MVScopyleft86.84 588.91 784.41 390.66 690.10 590.78 275.64 387.38 978.72 1190.68 586.82 880.15 287.13 1786.45 2190.51 1293.83 7
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMMP_Plus86.52 689.01 483.62 990.28 1290.09 690.32 574.05 1188.32 779.74 887.04 985.59 1576.97 2189.35 188.44 390.35 2194.27 5
CNVR-MVS86.36 788.19 1084.23 591.33 389.84 790.34 475.56 487.36 1078.97 1081.19 2086.76 978.74 589.30 288.58 190.45 1894.33 4
SteuartSystems-ACMMP85.99 888.31 983.27 1390.73 589.84 790.27 674.31 784.56 2275.88 2187.32 885.04 1677.31 1689.01 388.46 291.14 393.96 6
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MPTG85.71 986.88 1584.34 490.54 1087.11 3389.77 1074.17 988.54 683.08 278.60 2486.10 1178.11 887.80 1187.46 990.35 2192.56 18
ACMMPR85.52 1087.53 1283.17 1490.13 1389.27 1389.30 1173.97 1286.89 1277.14 1786.09 1083.18 2277.74 1287.42 1387.20 1090.77 692.63 17
MP-MVScopyleft85.50 1187.40 1383.28 1290.65 789.51 1289.16 1574.11 1083.70 2578.06 1485.54 1284.89 1977.31 1687.40 1487.14 1190.41 1993.65 12
NCCC85.34 1286.59 1783.88 791.48 288.88 1689.79 975.54 586.67 1377.94 1576.55 2784.99 1778.07 988.04 787.68 790.46 1793.31 14
DeepPCF-MVS79.04 185.30 1388.93 581.06 2388.77 2690.48 385.46 3573.08 1990.97 273.77 2784.81 1485.95 1277.43 1588.22 687.73 687.85 6194.34 3
CSCG85.28 1487.68 1182.49 1789.95 1691.99 188.82 1671.20 2886.41 1479.63 979.26 2188.36 373.94 3086.64 2386.67 1891.40 294.41 2
MCST-MVS85.13 1586.62 1683.39 1090.55 989.82 989.29 1273.89 1484.38 2376.03 2079.01 2385.90 1378.47 687.81 1086.11 2492.11 193.29 15
TSAR-MVS + ACMM85.10 1688.81 880.77 2689.55 2088.53 2388.59 1972.55 2187.39 871.90 3390.95 487.55 674.57 2687.08 1986.54 1987.47 6693.67 10
train_agg84.86 1787.21 1482.11 1990.59 885.47 4489.81 873.55 1683.95 2473.30 2889.84 687.23 775.61 2486.47 2585.46 2889.78 2892.06 24
DeepC-MVS78.47 284.81 1886.03 2183.37 1189.29 2390.38 488.61 1876.50 186.25 1577.22 1675.12 3180.28 3377.59 1488.39 588.17 591.02 593.66 11
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CP-MVS84.74 1986.43 1982.77 1689.48 2188.13 2888.64 1773.93 1384.92 1776.77 1881.94 1883.50 2177.29 1886.92 2286.49 2090.49 1393.14 16
PGM-MVS84.42 2086.29 2082.23 1890.04 1588.82 1889.23 1471.74 2682.82 2874.61 2484.41 1582.09 2477.03 2087.13 1786.73 1790.73 892.06 24
DeepC-MVS_fast78.24 384.27 2185.50 2382.85 1590.46 1189.24 1487.83 2474.24 884.88 1876.23 1975.26 3081.05 3177.62 1388.02 887.62 890.69 992.41 20
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + GP.83.69 2286.58 1880.32 2785.14 4386.96 3484.91 3970.25 3284.71 2173.91 2685.16 1385.63 1477.92 1085.44 3085.71 2789.77 2992.45 19
ACMMPcopyleft83.42 2385.27 2481.26 2288.47 2788.49 2488.31 2272.09 2383.42 2672.77 3182.65 1678.22 3775.18 2586.24 2885.76 2690.74 792.13 23
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
X-MVS83.23 2485.20 2580.92 2589.71 1988.68 1988.21 2373.60 1582.57 2971.81 3677.07 2581.92 2571.72 4486.98 2086.86 1390.47 1492.36 21
CDPH-MVS82.64 2585.03 2679.86 3089.41 2288.31 2588.32 2171.84 2580.11 3667.47 5082.09 1781.44 2971.85 4285.89 2986.15 2390.24 2391.25 30
3Dnovator+75.73 482.40 2682.76 2981.97 2088.02 2889.67 1086.60 2871.48 2781.28 3478.18 1364.78 6377.96 3977.13 1987.32 1586.83 1490.41 1991.48 28
PHI-MVS82.36 2785.89 2278.24 3886.40 3789.52 1185.52 3469.52 3982.38 3165.67 5581.35 1982.36 2373.07 3587.31 1686.76 1689.24 3791.56 27
MSLP-MVS++82.09 2882.66 3081.42 2187.03 3387.22 3285.82 3270.04 3380.30 3578.66 1268.67 5081.04 3277.81 1185.19 3384.88 3389.19 3991.31 29
CPTT-MVS81.77 2983.10 2880.21 2885.93 3986.45 3987.72 2570.98 2982.54 3071.53 3974.23 3481.49 2876.31 2382.85 5181.87 4788.79 4692.26 22
HQP-MVS81.19 3083.27 2778.76 3587.40 3185.45 4586.95 2670.47 3181.31 3366.91 5379.24 2276.63 4171.67 4584.43 3783.78 3889.19 3992.05 26
OMC-MVS80.26 3182.59 3177.54 4183.04 5185.54 4383.25 4665.05 6487.32 1172.42 3272.04 3978.97 3573.30 3383.86 4081.60 5088.15 5288.83 44
MVS_111021_HR80.13 3281.46 3478.58 3685.77 4085.17 4883.45 4569.28 4074.08 5070.31 4374.31 3375.26 4773.13 3486.46 2685.15 3189.53 3389.81 39
LGP-MVS_train79.83 3381.22 3678.22 3986.28 3885.36 4786.76 2769.59 3777.34 4165.14 5775.68 2970.79 6071.37 4784.60 3584.01 3690.18 2490.74 33
ACMP73.23 779.79 3480.53 3978.94 3385.61 4185.68 4285.61 3369.59 3777.33 4271.00 4274.45 3269.16 6871.88 4083.15 4883.37 4189.92 2790.57 36
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
3Dnovator73.76 579.75 3580.52 4078.84 3484.94 4887.35 3084.43 4165.54 6178.29 4073.97 2563.00 6975.62 4674.07 2985.00 3485.34 2990.11 2689.04 42
AdaColmapbinary79.74 3678.62 4781.05 2489.23 2486.06 4184.95 3871.96 2479.39 3975.51 2263.16 6768.84 7376.51 2283.55 4482.85 4388.13 5386.46 57
OPM-MVS79.68 3779.28 4680.15 2987.99 2986.77 3688.52 2072.72 2064.55 7567.65 4967.87 5474.33 5074.31 2886.37 2785.25 3089.73 3189.81 39
PCF-MVS73.28 679.42 3880.41 4178.26 3784.88 4988.17 2686.08 2969.85 3475.23 4668.43 4568.03 5378.38 3671.76 4381.26 6480.65 6588.56 4991.18 31
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CLD-MVS79.35 3981.23 3577.16 4385.01 4686.92 3585.87 3160.89 9680.07 3875.35 2372.96 3673.21 5368.43 5985.41 3284.63 3487.41 6785.44 67
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MAR-MVS79.21 4080.32 4277.92 4087.46 3088.15 2783.95 4267.48 5174.28 4868.25 4664.70 6477.04 4072.17 3985.42 3185.00 3288.22 5087.62 51
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
canonicalmvs79.16 4182.37 3275.41 4982.33 5686.38 4080.80 5163.18 7582.90 2767.34 5172.79 3776.07 4369.62 5383.46 4784.41 3589.20 3890.60 35
DELS-MVS79.15 4281.07 3776.91 4483.54 5087.31 3184.45 4064.92 6569.98 5569.34 4471.62 4176.26 4269.84 5286.57 2485.90 2589.39 3589.88 38
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
EPNet79.08 4380.62 3877.28 4288.90 2583.17 6183.65 4372.41 2274.41 4767.15 5276.78 2674.37 4964.43 9483.70 4383.69 3987.15 7188.19 46
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
ACMM72.26 878.86 4478.13 4879.71 3186.89 3483.40 5886.02 3070.50 3075.28 4571.49 4063.01 6869.26 6773.57 3284.11 3983.98 3789.76 3087.84 49
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
QAPM78.47 4580.22 4376.43 4685.03 4586.75 3780.62 5266.00 5873.77 5165.35 5665.54 6178.02 3872.69 3683.71 4283.36 4288.87 4590.41 37
TSAR-MVS + COLMAP78.34 4681.64 3374.48 5680.13 6785.01 4981.73 4765.93 6084.75 2061.68 6685.79 1166.27 7971.39 4682.91 5080.78 5686.01 11485.98 59
MVS_111021_LR78.13 4779.85 4576.13 4781.12 6081.50 6780.28 5365.25 6276.09 4471.32 4176.49 2872.87 5472.21 3882.79 5281.29 5286.59 10687.91 48
TAPA-MVS71.42 977.69 4880.05 4474.94 5280.68 6384.52 5181.36 4863.14 7684.77 1964.82 5968.72 4875.91 4571.86 4181.62 5679.55 7787.80 6285.24 70
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CNLPA77.20 4977.54 5276.80 4582.63 5384.31 5279.77 5664.64 6685.17 1673.18 2956.37 10069.81 6474.53 2781.12 6678.69 8486.04 11387.29 54
PVSNet_Blended_VisFu76.57 5077.90 4975.02 5180.56 6486.58 3879.24 5966.18 5564.81 7268.18 4765.61 5971.45 5767.05 6184.16 3881.80 4888.90 4390.92 32
PVSNet_BlendedMVS76.21 5177.52 5374.69 5479.46 6983.79 5577.50 9264.34 6969.88 5671.88 3468.54 5170.42 6267.05 6183.48 4579.63 7387.89 5986.87 55
PVSNet_Blended76.21 5177.52 5374.69 5479.46 6983.79 5577.50 9264.34 6969.88 5671.88 3468.54 5170.42 6267.05 6183.48 4579.63 7387.89 5986.87 55
OpenMVScopyleft70.44 1076.15 5376.82 5975.37 5085.01 4684.79 5078.99 6462.07 8871.27 5467.88 4857.91 9272.36 5570.15 5182.23 5481.41 5188.12 5487.78 50
PLCcopyleft68.99 1175.68 5475.31 6376.12 4882.94 5281.26 7079.94 5566.10 5677.15 4366.86 5459.13 8268.53 7473.73 3180.38 7179.04 8187.13 7581.68 116
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MVS_Test75.37 5577.13 5873.31 6079.07 7281.32 6979.98 5460.12 11369.72 5864.11 6170.53 4273.22 5268.90 5680.14 7479.48 7987.67 6385.50 66
Effi-MVS+75.28 5676.20 6074.20 5781.15 5983.24 5981.11 4963.13 7766.37 6160.27 7164.30 6568.88 7270.93 5081.56 5781.69 4988.61 4787.35 52
DI_MVS_plusplus_trai75.13 5776.12 6173.96 5878.18 7681.55 6680.97 5062.54 8668.59 5965.13 5861.43 7074.81 4869.32 5581.01 6879.59 7587.64 6485.89 60
UA-Net74.47 5877.80 5070.59 7685.33 4285.40 4673.54 12065.98 5960.65 9856.00 10172.11 3879.15 3454.63 14583.13 4982.25 4588.04 5581.92 114
LS3D74.08 5973.39 6874.88 5385.05 4482.62 6479.71 5768.66 4372.82 5258.80 7657.61 9361.31 9071.07 4980.32 7278.87 8386.00 11580.18 123
EPP-MVSNet74.00 6077.41 5570.02 9180.53 6583.91 5474.99 10862.68 8465.06 7049.77 13568.68 4972.09 5663.06 10082.49 5380.73 5789.12 4188.91 43
IS_MVSNet73.33 6177.34 5668.65 10381.29 5883.47 5774.45 11163.58 7365.75 6748.49 13867.11 5870.61 6154.63 14584.51 3683.58 4089.48 3486.34 58
diffmvs73.13 6275.65 6270.19 8874.07 12077.17 11078.24 8657.45 14072.44 5364.02 6269.05 4675.92 4464.86 9275.18 13075.27 13282.47 14184.53 79
Fast-Effi-MVS+73.11 6373.66 6672.48 6277.72 7880.88 7678.55 7958.83 13265.19 6960.36 7059.98 7762.42 8871.22 4881.66 5580.61 6788.20 5184.88 78
UGNet72.78 6477.67 5167.07 11971.65 14283.24 5975.20 10263.62 7264.93 7156.72 9571.82 4073.30 5149.02 15681.02 6780.70 6386.22 11088.67 45
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
Vis-MVSNetpermissive72.77 6577.20 5767.59 11474.19 11984.01 5376.61 9861.69 9360.62 9950.61 12970.25 4471.31 5955.57 14183.85 4182.28 4486.90 8588.08 47
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
FC-MVSNet-train72.60 6675.07 6469.71 9581.10 6178.79 9673.74 11965.23 6366.10 6453.34 11370.36 4363.40 8556.92 13581.44 5880.96 5587.93 5784.46 80
MVSTER72.06 6774.24 6569.51 9670.39 15075.97 13176.91 9557.36 14264.64 7461.39 6868.86 4763.76 8463.46 9781.44 5879.70 7287.56 6585.31 69
IterMVS-LS71.69 6872.82 7270.37 8577.54 8076.34 12875.13 10660.46 10361.53 9457.57 8464.89 6267.33 7666.04 8677.09 11777.37 9885.48 12385.18 71
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MSDG71.52 6969.87 8973.44 5982.21 5779.35 9379.52 5864.59 6766.15 6361.87 6553.21 13856.09 12165.85 9078.94 8778.50 8586.60 10576.85 143
ACMH+66.54 1371.36 7070.09 8472.85 6182.59 5481.13 7178.56 7868.04 4761.55 9352.52 11951.50 14854.14 13368.56 5878.85 8879.50 7886.82 9283.94 85
IB-MVS66.94 1271.21 7171.66 7670.68 7379.18 7182.83 6372.61 12661.77 9259.66 10563.44 6453.26 13659.65 9459.16 12076.78 12082.11 4687.90 5887.33 53
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
GBi-Net70.78 7273.37 6967.76 10872.95 13078.00 9975.15 10362.72 8064.13 7651.44 12158.37 8669.02 6957.59 12781.33 6180.72 5886.70 10082.02 108
test170.78 7273.37 6967.76 10872.95 13078.00 9975.15 10362.72 8064.13 7651.44 12158.37 8669.02 6957.59 12781.33 6180.72 5886.70 10082.02 108
ACMH65.37 1470.71 7470.00 8571.54 6382.51 5582.47 6577.78 8968.13 4656.19 13546.06 14754.30 11951.20 15668.68 5780.66 7080.72 5886.07 11184.45 81
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
UniMVSNet_NR-MVSNet70.59 7572.19 7468.72 10177.72 7880.72 7773.81 11769.65 3661.99 8843.23 15460.54 7357.50 10058.57 12179.56 8081.07 5489.34 3683.97 83
FMVSNet370.49 7672.90 7167.67 11272.88 13377.98 10274.96 10962.72 8064.13 7651.44 12158.37 8669.02 6957.43 13079.43 8279.57 7686.59 10681.81 115
FMVSNet270.39 7772.67 7367.72 11172.95 13078.00 9975.15 10362.69 8363.29 8151.25 12555.64 10168.49 7557.59 12780.91 6980.35 6986.70 10082.02 108
v670.35 7869.94 8670.83 6574.68 11280.62 7878.81 6960.16 11258.81 11058.17 8055.01 10657.31 10566.32 7977.53 10576.73 11686.82 9283.62 87
v1neww70.34 7969.93 8770.82 6674.68 11280.61 7978.80 7060.17 10958.74 11258.10 8155.00 10757.28 10666.33 7777.53 10576.74 11286.82 9283.61 88
v7new70.34 7969.93 8770.82 6674.68 11280.61 7978.80 7060.17 10958.74 11258.10 8155.00 10757.28 10666.33 7777.53 10576.74 11286.82 9283.61 88
v770.33 8169.87 8970.88 6474.79 10481.04 7279.22 6060.57 10057.70 12056.65 9754.23 12455.29 12666.95 6478.28 9277.47 9487.12 7885.05 74
v870.23 8269.86 9170.67 7474.69 11179.82 8978.79 7259.18 12258.80 11158.20 7955.00 10757.33 10366.31 8077.51 10876.71 12086.82 9283.88 86
v1070.22 8369.76 9370.74 7074.79 10480.30 8779.22 6059.81 11657.71 11956.58 9854.22 12655.31 12466.95 6478.28 9277.47 9487.12 7885.07 73
MS-PatchMatch70.17 8470.49 8269.79 9380.98 6277.97 10477.51 9158.95 12462.33 8655.22 10453.14 13965.90 8062.03 10379.08 8677.11 10284.08 13377.91 133
v1870.10 8569.52 9670.77 6974.66 11577.06 11378.84 6758.84 13160.01 10359.23 7355.06 10557.47 10166.34 7677.50 10976.75 11086.71 9982.77 102
v1670.07 8669.46 9770.79 6874.74 11077.08 11278.79 7258.86 12659.75 10459.15 7454.87 11157.33 10366.38 7477.61 10376.77 10586.81 9782.79 100
v2v48270.05 8769.46 9770.74 7074.62 11680.32 8679.00 6360.62 9957.41 12156.89 9055.43 10455.14 12766.39 7377.25 11477.14 10186.90 8583.57 93
v1770.03 8869.43 10270.72 7274.75 10977.09 11178.78 7458.85 12859.53 10758.72 7754.87 11157.39 10266.38 7477.60 10476.75 11086.83 9182.80 98
divwei89l23v2f11269.97 8969.44 10070.58 7874.78 10680.50 8378.85 6560.30 10456.97 12556.75 9354.67 11656.27 11765.92 8877.37 11276.72 11786.88 8883.58 92
v169.97 8969.45 9970.59 7674.78 10680.51 8278.84 6760.30 10456.98 12456.81 9254.69 11456.29 11665.91 8977.37 11276.71 12086.89 8783.59 90
v114169.96 9169.44 10070.58 7874.78 10680.50 8378.85 6560.30 10456.95 12656.74 9454.68 11556.26 11865.93 8777.38 11176.72 11786.88 8883.57 93
v114469.93 9269.36 10370.61 7574.89 9780.93 7379.11 6260.64 9855.97 13655.31 10353.85 13154.14 13366.54 7178.10 9477.44 9687.14 7485.09 72
DU-MVS69.63 9370.91 7968.13 10775.99 8979.54 9073.81 11769.20 4161.20 9643.23 15458.52 8453.50 13958.57 12179.22 8480.45 6887.97 5683.97 83
v1569.61 9468.88 10870.46 8074.81 10377.03 11678.75 7558.83 13257.06 12357.18 8654.55 11756.37 11266.13 8477.70 10076.76 10787.03 8282.69 105
V1469.59 9568.86 10970.45 8274.83 10277.04 11478.70 7658.83 13256.95 12657.08 8854.41 11856.34 11366.15 8177.77 9976.76 10787.08 8082.74 103
V969.58 9668.83 11070.46 8074.85 10177.04 11478.65 7758.85 12856.83 12957.12 8754.26 12256.31 11466.14 8377.83 9876.76 10787.13 7582.79 100
v1269.54 9768.79 11270.41 8374.88 9877.03 11678.54 8158.85 12856.71 13056.87 9154.13 12756.23 11966.15 8177.89 9676.74 11287.17 7082.80 98
UniMVSNet (Re)69.53 9871.90 7566.76 12276.42 8680.93 7372.59 12768.03 4861.75 9241.68 15958.34 8957.23 10853.27 14979.53 8180.62 6688.57 4884.90 77
v1369.52 9968.76 11470.41 8374.88 9877.02 11878.52 8258.86 12656.61 13256.91 8954.00 12956.17 12066.11 8577.93 9576.74 11287.21 6982.83 97
v119269.50 10068.83 11070.29 8674.49 11780.92 7578.55 7960.54 10155.04 14154.21 10652.79 14252.33 15066.92 6677.88 9777.35 9987.04 8185.51 65
HyFIR lowres test69.47 10168.94 10770.09 9076.77 8582.93 6276.63 9760.17 10959.00 10954.03 10840.54 17665.23 8167.89 6076.54 12378.30 8685.03 12780.07 124
v1169.37 10268.65 11670.20 8774.87 10076.97 11978.29 8558.55 13656.38 13456.04 10054.02 12854.98 12866.47 7278.30 9176.91 10486.97 8383.02 96
v14419269.34 10368.68 11570.12 8974.06 12180.54 8178.08 8860.54 10154.99 14354.13 10752.92 14152.80 14666.73 6977.13 11676.72 11787.15 7185.63 61
TranMVSNet+NR-MVSNet69.25 10470.81 8067.43 11577.23 8379.46 9273.48 12269.66 3560.43 10039.56 16258.82 8353.48 14155.74 14079.59 7881.21 5388.89 4482.70 104
HyFIR69.20 10569.26 10469.13 9876.86 8478.93 9577.27 9460.12 11361.86 9054.42 10542.54 17061.61 8966.91 6778.55 8978.14 8879.23 15683.23 95
v192192069.03 10668.32 11769.86 9274.03 12280.37 8577.55 9060.25 10854.62 14453.59 11252.36 14451.50 15566.75 6877.17 11576.69 12286.96 8485.56 62
CostFormer68.92 10769.58 9568.15 10675.98 9176.17 13078.22 8751.86 16165.80 6661.56 6763.57 6662.83 8661.85 10670.40 16468.67 16379.42 15479.62 126
FMVSNet168.84 10870.47 8366.94 12071.35 14777.68 10574.71 11062.35 8756.93 12849.94 13450.01 15464.59 8257.07 13381.33 6180.72 5886.25 10982.00 111
NR-MVSNet68.79 10970.56 8166.71 12477.48 8179.54 9073.52 12169.20 4161.20 9639.76 16158.52 8450.11 16251.37 15280.26 7380.71 6288.97 4283.59 90
V4268.76 11069.63 9467.74 11064.93 17178.01 9878.30 8456.48 14658.65 11456.30 9954.26 12257.03 10964.85 9377.47 11077.01 10385.60 12184.96 76
v124068.64 11167.89 12169.51 9673.89 12480.26 8876.73 9659.97 11553.43 15153.08 11451.82 14750.84 15866.62 7076.79 11976.77 10586.78 9885.34 68
tpmp4_e2368.32 11267.08 12769.76 9477.86 7775.22 13678.37 8356.17 14866.06 6564.27 6057.15 9754.89 12963.40 9870.97 15768.29 16778.46 15877.00 142
GA-MVS68.14 11369.17 10566.93 12173.77 12578.50 9774.45 11158.28 13755.11 14048.44 13960.08 7553.99 13661.50 10878.43 9077.57 9285.13 12580.54 122
EPNet_dtu68.08 11471.00 7864.67 13179.64 6868.62 16075.05 10763.30 7466.36 6245.27 15067.40 5666.84 7843.64 16675.37 12874.98 13681.15 14677.44 136
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
pmmvs467.89 11567.39 12668.48 10471.60 14473.57 14474.45 11160.98 9564.65 7357.97 8354.95 11051.73 15461.88 10573.78 13775.11 13483.99 13577.91 133
v14867.85 11667.53 12268.23 10573.25 12877.57 10874.26 11657.36 14255.70 13757.45 8553.53 13255.42 12361.96 10475.23 12973.92 13985.08 12681.32 117
Vis-MVSNet (Re-imp)67.83 11773.52 6761.19 14778.37 7576.72 12266.80 15062.96 7865.50 6834.17 17167.19 5769.68 6539.20 17479.39 8379.44 8085.68 12076.73 144
PatchMatch-RL67.78 11866.65 13169.10 9973.01 12972.69 14668.49 14261.85 9162.93 8460.20 7256.83 9950.42 16069.52 5475.62 12774.46 13881.51 14473.62 162
COLMAP_ROBcopyleft62.73 1567.66 11966.76 13068.70 10280.49 6677.98 10275.29 10162.95 7963.62 7949.96 13347.32 16450.72 15958.57 12176.87 11875.50 13184.94 12975.33 153
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CDS-MVSNet67.65 12069.83 9265.09 12775.39 9376.55 12374.42 11463.75 7153.55 15049.37 13759.41 8062.45 8744.44 16479.71 7779.82 7183.17 13977.36 137
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
RPSCF67.64 12171.25 7763.43 14061.86 17770.73 15267.26 14650.86 16674.20 4958.91 7567.49 5569.33 6664.10 9571.41 15068.45 16677.61 16077.17 138
Baseline_NR-MVSNet67.53 12268.77 11366.09 12575.99 8974.75 13972.43 12868.41 4461.33 9538.33 16551.31 14954.13 13556.03 13779.22 8478.19 8785.37 12482.45 106
USDC67.36 12367.90 12066.74 12371.72 14075.23 13571.58 13260.28 10767.45 6050.54 13060.93 7145.20 17762.08 10276.56 12274.50 13784.25 13275.38 152
DWT-MVSNet_training67.24 12465.96 13468.74 10076.15 8774.36 14274.37 11556.66 14561.82 9160.51 6958.23 9149.76 16465.07 9170.04 16570.39 15379.70 15377.11 140
EG-PatchMatch MVS67.24 12466.94 12867.60 11378.73 7381.35 6873.28 12459.49 11846.89 17551.42 12443.65 16853.49 14055.50 14281.38 6080.66 6487.15 7181.17 118
v7n67.05 12666.94 12867.17 11872.35 13578.97 9473.26 12558.88 12551.16 16150.90 12648.21 15850.11 16260.96 11077.70 10077.38 9786.68 10385.05 74
IterMVS66.36 12768.30 11864.10 13369.48 15774.61 14073.41 12350.79 16757.30 12248.28 14060.64 7259.92 9360.85 11474.14 13572.66 14581.80 14378.82 129
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
TDRefinement66.09 12865.03 14667.31 11669.73 15476.75 12175.33 9964.55 6860.28 10149.72 13645.63 16642.83 17960.46 11575.75 12475.95 12884.08 13378.04 132
pm-mvs165.62 12967.42 12463.53 13973.66 12676.39 12769.66 13660.87 9749.73 16843.97 15351.24 15057.00 11048.16 15779.89 7577.84 8984.85 13079.82 125
tpm cat165.41 13063.81 15467.28 11775.61 9272.88 14575.32 10052.85 15562.97 8363.66 6353.24 13753.29 14461.83 10765.54 17664.14 17974.43 17474.60 155
anonymousdsp65.28 13167.98 11962.13 14358.73 18573.98 14367.10 14850.69 16848.41 17147.66 14554.27 12052.75 14761.45 10976.71 12180.20 7087.13 7589.53 41
v5265.23 13266.24 13264.06 13461.94 17576.42 12572.06 13054.30 15049.94 16550.04 13247.41 16252.42 14860.23 11775.71 12576.22 12685.78 11785.56 62
V465.23 13266.23 13364.06 13461.94 17576.42 12572.05 13154.31 14949.91 16750.06 13147.42 16152.40 14960.24 11675.71 12576.22 12685.78 11785.56 62
v74865.12 13465.24 14164.98 12869.77 15376.45 12469.47 13857.06 14449.93 16650.70 12747.87 16049.50 16657.14 13273.64 13875.18 13385.75 11984.14 82
PMMVS65.06 13569.17 10560.26 15255.25 19363.43 17766.71 15143.01 19262.41 8550.64 12869.44 4567.04 7763.29 9974.36 13473.54 14182.68 14073.99 160
CR-MVSNet64.83 13665.54 13964.01 13670.64 14969.41 15565.97 15552.74 15657.81 11652.65 11654.27 12056.31 11460.92 11172.20 14673.09 14381.12 14775.69 149
TransMVSNet (Re)64.74 13765.66 13863.66 13877.40 8275.33 13469.86 13562.67 8547.63 17341.21 16050.01 15452.33 15045.31 16379.57 7977.69 9185.49 12277.07 141
test-LLR64.42 13864.36 15064.49 13275.02 9563.93 17466.61 15261.96 8954.41 14547.77 14257.46 9460.25 9155.20 14370.80 15869.33 15880.40 15074.38 157
MDTV_nov1_ep1364.37 13965.24 14163.37 14168.94 15970.81 15172.40 12950.29 17060.10 10253.91 11060.07 7659.15 9657.21 13169.43 16867.30 16977.47 16169.78 168
PatchmatchNetpermissive64.21 14064.65 14863.69 13771.29 14868.66 15969.63 13751.70 16363.04 8253.77 11159.83 7958.34 9860.23 11768.54 17166.06 17475.56 16968.08 172
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
dps64.00 14162.99 15665.18 12673.29 12772.07 14868.98 14153.07 15457.74 11858.41 7855.55 10347.74 17160.89 11369.53 16767.14 17176.44 16671.19 165
pmmvs-eth3d63.52 14262.44 16364.77 13066.82 16570.12 15469.41 13959.48 11954.34 14852.71 11546.24 16544.35 17856.93 13472.37 14173.77 14083.30 13775.91 146
WR-MVS63.03 14367.40 12557.92 16275.14 9477.60 10760.56 17266.10 5654.11 14923.88 18353.94 13053.58 13834.50 17973.93 13677.71 9087.35 6880.94 119
PEN-MVS62.96 14465.77 13759.70 15573.98 12375.45 13263.39 16567.61 5052.49 15425.49 18253.39 13349.12 16740.85 17271.94 14877.26 10086.86 9080.72 121
TinyColmap62.84 14561.03 16864.96 12969.61 15571.69 14968.48 14359.76 11755.41 13847.69 14447.33 16334.20 18962.76 10174.52 13272.59 14681.44 14571.47 164
CP-MVSNet62.68 14665.49 14059.40 15871.84 13875.34 13362.87 16767.04 5252.64 15327.19 18053.38 13448.15 16941.40 17071.26 15175.68 12986.07 11182.00 111
gg-mvs-nofinetune62.55 14765.05 14559.62 15678.72 7477.61 10670.83 13453.63 15139.71 18722.04 19236.36 18064.32 8347.53 15881.16 6579.03 8285.00 12877.17 138
CVMVSNet62.55 14765.89 13558.64 16066.95 16369.15 15766.49 15456.29 14752.46 15532.70 17259.27 8158.21 9950.09 15471.77 14971.39 15079.31 15578.99 128
CMPMVSbinary47.78 1762.49 14962.52 16162.46 14270.01 15270.66 15362.97 16651.84 16251.98 15756.71 9642.87 16953.62 13757.80 12672.23 14470.37 15475.45 17175.91 146
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
pmmvs662.41 15062.88 15761.87 14471.38 14675.18 13867.76 14559.45 12041.64 18342.52 15837.33 17852.91 14546.87 15977.67 10276.26 12583.23 13879.18 127
tpm62.41 15063.15 15561.55 14672.24 13663.79 17671.31 13346.12 18357.82 11555.33 10259.90 7854.74 13053.63 14767.24 17464.29 17770.65 18574.25 159
PS-CasMVS62.38 15265.06 14459.25 15971.73 13975.21 13762.77 16866.99 5351.94 15926.96 18152.00 14647.52 17241.06 17171.16 15475.60 13085.97 11681.97 113
pmmvs562.37 15364.04 15260.42 15065.03 16971.67 15067.17 14752.70 15850.30 16244.80 15154.23 12451.19 15749.37 15572.88 14073.48 14283.45 13674.55 156
tpmrst62.00 15462.35 16461.58 14571.62 14364.14 17369.07 14048.22 17962.21 8753.93 10958.26 9055.30 12555.81 13963.22 18162.62 18270.85 18470.70 166
PatchT61.97 15564.04 15259.55 15760.49 17967.40 16356.54 17948.65 17556.69 13152.65 11651.10 15152.14 15360.92 11172.20 14673.09 14378.03 15975.69 149
DTE-MVSNet61.85 15664.96 14758.22 16174.32 11874.39 14161.01 17167.85 4951.76 16021.91 19353.28 13548.17 16837.74 17572.22 14576.44 12386.52 10878.49 130
SixPastTwentyTwo61.84 15762.45 16261.12 14869.20 15872.20 14762.03 16957.40 14146.54 17638.03 16657.14 9841.72 18158.12 12569.67 16671.58 14981.94 14278.30 131
WR-MVS_H61.83 15865.87 13657.12 16571.72 14076.87 12061.45 17066.19 5451.97 15822.92 19053.13 14052.30 15233.80 18071.03 15575.00 13586.65 10480.78 120
LTVRE_ROB59.44 1661.82 15962.64 16060.87 14972.83 13477.19 10964.37 16158.97 12333.56 19628.00 17952.59 14342.21 18063.93 9674.52 13276.28 12477.15 16382.13 107
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
RPMNet61.71 16062.88 15760.34 15169.51 15669.41 15563.48 16449.23 17157.81 11645.64 14950.51 15250.12 16153.13 15068.17 17368.49 16581.07 14875.62 151
TESTMET0.1,161.10 16164.36 15057.29 16457.53 18763.93 17466.61 15236.22 19754.41 14547.77 14257.46 9460.25 9155.20 14370.80 15869.33 15880.40 15074.38 157
test-mter60.84 16264.62 14956.42 16755.99 19264.18 17265.39 15734.23 19954.39 14746.21 14657.40 9659.49 9555.86 13871.02 15669.65 15680.87 14976.20 145
PM-MVS60.48 16360.94 16959.94 15358.85 18466.83 16664.27 16251.39 16455.03 14248.03 14150.00 15640.79 18358.26 12469.20 16967.13 17278.84 15777.60 135
MDTV_nov1_ep13_2view60.16 16460.51 17059.75 15465.39 16869.05 15868.00 14448.29 17751.99 15645.95 14848.01 15949.64 16553.39 14868.83 17066.52 17377.47 16169.55 169
EPMVS60.00 16561.97 16557.71 16368.46 16063.17 18064.54 16048.23 17863.30 8044.72 15260.19 7456.05 12250.85 15365.27 17862.02 18469.44 18763.81 179
TAMVS59.58 16662.81 15955.81 16966.03 16765.64 17163.86 16348.74 17449.95 16437.07 16854.77 11358.54 9744.44 16472.29 14371.79 14774.70 17366.66 174
test0.0.03 158.80 16761.58 16655.56 17075.02 9568.45 16159.58 17661.96 8952.74 15229.57 17549.75 15754.56 13131.46 18271.19 15269.77 15575.75 16764.57 177
MIMVSNet58.52 16861.34 16755.22 17160.76 17867.01 16566.81 14949.02 17356.43 13338.90 16440.59 17554.54 13240.57 17373.16 13971.65 14875.30 17266.00 175
FMVSNet557.24 16960.02 17153.99 17456.45 18962.74 18165.27 15847.03 18055.14 13939.55 16340.88 17353.42 14241.83 16772.35 14271.10 15273.79 17664.50 178
gm-plane-assit57.00 17057.62 17656.28 16876.10 8862.43 18447.62 19246.57 18133.84 19523.24 18637.52 17740.19 18459.61 11979.81 7677.55 9384.55 13172.03 163
FC-MVSNet-test56.90 17165.20 14347.21 18366.98 16263.20 17949.11 19058.60 13559.38 10811.50 20365.60 6056.68 11124.66 19471.17 15371.36 15172.38 18069.02 170
Anonymous2023120656.36 17257.80 17554.67 17270.08 15166.39 16860.46 17357.54 13949.50 17029.30 17633.86 18646.64 17335.18 17870.44 16268.88 16275.47 17068.88 171
ADS-MVSNet55.94 17358.01 17353.54 17762.48 17458.48 18659.12 17746.20 18259.65 10642.88 15652.34 14553.31 14346.31 16162.00 18560.02 18964.23 19560.24 187
EU-MVSNet54.63 17458.69 17249.90 18156.99 18862.70 18256.41 18050.64 16945.95 17823.14 18750.42 15346.51 17436.63 17665.51 17764.85 17675.57 16874.91 154
MVS-HIRNet54.41 17552.10 18257.11 16658.99 18356.10 18949.68 18949.10 17246.18 17752.15 12033.18 18746.11 17556.10 13663.19 18259.70 19076.64 16560.25 186
testgi54.39 17657.86 17450.35 18071.59 14567.24 16454.95 18253.25 15343.36 18023.78 18444.64 16747.87 17024.96 19170.45 16168.66 16473.60 17762.78 182
test20.0353.93 17756.28 17751.19 17972.19 13765.83 16953.20 18461.08 9442.74 18122.08 19137.07 17945.76 17624.29 19570.44 16269.04 16074.31 17563.05 181
LP53.62 17853.43 17853.83 17558.51 18662.59 18357.31 17846.04 18447.86 17242.69 15736.08 18236.86 18746.53 16064.38 17964.25 17871.92 18162.00 184
MDA-MVSNet-bldmvs53.37 17953.01 18153.79 17643.67 20167.95 16259.69 17557.92 13843.69 17932.41 17341.47 17127.89 19952.38 15156.97 19565.99 17576.68 16467.13 173
FPMVS51.87 18050.00 18554.07 17366.83 16457.25 18760.25 17450.91 16550.25 16334.36 17036.04 18332.02 19141.49 16958.98 19356.07 19370.56 18659.36 188
Anonymous2023121151.46 18150.59 18352.46 17867.30 16166.70 16755.00 18159.22 12129.96 19817.62 19819.11 20028.74 19835.72 17766.42 17569.52 15779.92 15273.71 161
MIMVSNet149.27 18253.25 18044.62 18744.61 19861.52 18553.61 18352.18 15941.62 18418.68 19528.14 19441.58 18225.50 18968.46 17269.04 16073.15 17862.37 183
pmmvs347.65 18349.08 18745.99 18544.61 19854.79 19250.04 18731.95 20233.91 19429.90 17430.37 18833.53 19046.31 16163.50 18063.67 18073.14 17963.77 180
testpf47.41 18448.47 19046.18 18466.30 16650.67 19648.15 19142.60 19337.10 19128.75 17740.97 17239.01 18630.82 18352.95 19853.74 19760.46 19664.87 176
N_pmnet47.35 18550.13 18444.11 18859.98 18051.64 19551.86 18544.80 18849.58 16920.76 19440.65 17440.05 18529.64 18459.84 19155.15 19457.63 19754.00 195
test235647.20 18648.62 18945.54 18656.38 19054.89 19150.62 18645.08 18738.65 18823.40 18536.23 18131.10 19329.31 18562.76 18362.49 18368.48 18954.23 194
new-patchmatchnet46.97 18749.47 18644.05 18962.82 17356.55 18845.35 19352.01 16042.47 18217.04 19935.73 18435.21 18821.84 20061.27 18654.83 19565.26 19460.26 185
GG-mvs-BLEND46.86 18867.51 12322.75 2010.05 20876.21 12964.69 1590.04 20661.90 890.09 21155.57 10271.32 580.08 20670.54 16067.19 17071.58 18269.86 167
PMVScopyleft39.38 1846.06 18943.30 19449.28 18262.93 17238.75 20241.88 19553.50 15233.33 19735.46 16928.90 19131.01 19433.04 18158.61 19454.63 19668.86 18857.88 191
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
testus45.61 19049.06 18841.59 19156.13 19155.28 19043.51 19439.64 19537.74 18918.23 19635.52 18531.28 19224.69 19362.46 18462.90 18167.33 19058.26 190
111143.08 19144.02 19341.98 19059.22 18149.27 19841.48 19645.63 18535.01 19223.06 18828.60 19230.15 19527.22 18660.42 18957.97 19155.27 20046.74 197
testmv42.58 19244.36 19140.49 19254.63 19452.76 19341.21 19844.37 18928.83 19912.87 20027.16 19525.03 20023.01 19660.83 18761.13 18566.88 19154.81 192
test123567842.57 19344.36 19140.49 19254.63 19452.75 19441.21 19844.37 18928.82 20012.87 20027.15 19625.01 20123.01 19660.83 18761.13 18566.88 19154.81 192
new_pmnet38.40 19442.64 19533.44 19637.54 20445.00 20036.60 20032.72 20140.27 18512.72 20229.89 18928.90 19724.78 19253.17 19752.90 19856.31 19848.34 196
Gipumacopyleft36.38 19535.80 19837.07 19445.76 19733.90 20329.81 20248.47 17639.91 18618.02 1978.00 2068.14 20825.14 19059.29 19261.02 18755.19 20140.31 199
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
no-one36.35 19637.59 19734.91 19546.13 19649.89 19727.99 20343.56 19120.91 2047.03 20614.64 20215.50 20618.92 20142.95 19960.20 18865.84 19359.03 189
test1235635.10 19738.50 19631.13 19844.14 20043.70 20132.27 20134.42 19826.51 2029.47 20425.22 19820.34 20210.86 20353.47 19656.15 19255.59 19944.11 198
.test124530.81 19829.14 20032.77 19759.22 18149.27 19841.48 19645.63 18535.01 19223.06 18828.60 19230.15 19527.22 18660.42 1890.10 2040.01 2080.43 206
PMMVS225.60 19929.75 19920.76 20228.00 20530.93 20423.10 20429.18 20323.14 2031.46 21018.23 20116.54 2045.08 20440.22 20041.40 20037.76 20237.79 201
E-PMN21.77 20018.24 20225.89 19940.22 20219.58 20612.46 20739.87 19418.68 2066.71 2079.57 2034.31 21122.36 19919.89 20427.28 20233.73 20328.34 203
EMVS20.98 20117.15 20325.44 20039.51 20319.37 20712.66 20639.59 19619.10 2056.62 2089.27 2044.40 21022.43 19817.99 20524.40 20331.81 20425.53 204
MVEpermissive19.12 1920.47 20223.27 20117.20 20312.66 20725.41 20510.52 20834.14 20014.79 2076.53 2098.79 2054.68 20916.64 20229.49 20241.63 19922.73 20638.11 200
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
testmvs0.09 2030.15 2040.02 2050.01 2090.02 2100.05 2110.01 2070.11 2080.01 2120.26 2080.01 2120.06 2080.10 2060.10 2040.01 2080.43 206
test1230.09 2030.14 2050.02 2050.00 2100.02 2100.02 2120.01 2070.09 2090.00 2130.30 2070.00 2130.08 2060.03 2070.09 2060.01 2080.45 205
sosnet-low-res0.00 2050.00 2060.00 2070.00 2100.00 2120.00 2130.00 2090.00 2100.00 2130.00 2090.00 2130.00 2090.00 2080.00 2070.00 2110.00 208
sosnet0.00 2050.00 2060.00 2070.00 2100.00 2120.00 2130.00 2090.00 2100.00 2130.00 2090.00 2130.00 2090.00 2080.00 2070.00 2110.00 208
ambc53.42 17964.99 17063.36 17849.96 18847.07 17437.12 16728.97 19016.36 20541.82 16875.10 13167.34 16871.55 18375.72 148
MTAPA83.48 186.45 10
MTMP82.66 384.91 18
Patchmatch-RL test2.85 210
tmp_tt14.50 20414.68 2067.17 20910.46 2092.21 20537.73 19028.71 17825.26 19716.98 2034.37 20531.49 20129.77 20126.56 205
XVS86.63 3588.68 1985.00 3671.81 3681.92 2590.47 14
X-MVStestdata86.63 3588.68 1985.00 3671.81 3681.92 2590.47 14
abl_679.05 3287.27 3288.85 1783.62 4468.25 4581.68 3272.94 3073.79 3584.45 2072.55 3789.66 3290.64 34
mPP-MVS89.90 1781.29 30
NP-MVS80.10 37
Patchmtry65.80 17065.97 15552.74 15652.65 116
DeepMVS_CXcopyleft18.74 20818.55 2058.02 20426.96 2017.33 20523.81 19913.05 20725.99 18825.17 20322.45 20736.25 202