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
TDRefinement93.16 195.57 190.36 188.79 4693.57 197.27 178.23 1995.55 293.00 193.98 1796.01 4987.53 197.69 196.81 197.33 195.34 4
COLMAP_ROBcopyleft85.66 291.85 295.01 288.16 1288.98 4592.86 295.51 1972.17 5394.95 591.27 394.11 1697.77 1484.22 896.49 495.27 596.79 293.60 9
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
LTVRE_ROB86.82 191.55 394.43 388.19 1183.19 9886.35 5893.60 3278.79 1695.48 491.79 293.08 2597.21 2386.34 397.06 296.27 395.46 2295.56 3
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
ACMMPR91.30 492.88 1089.46 491.92 1191.61 596.60 579.46 1190.08 2988.53 1489.54 7495.57 6184.25 795.24 2094.27 1395.97 1193.85 6
CP-MVS91.09 592.33 2089.65 292.16 1090.41 2496.46 1080.38 688.26 4189.17 1187.00 10096.34 3883.95 1095.77 1194.72 895.81 1793.78 8
MP-MVScopyleft90.84 691.95 2889.55 392.92 590.90 1796.56 679.60 986.83 5388.75 1389.00 8194.38 8784.01 994.94 2594.34 1195.45 2393.24 18
ACMM80.67 790.67 792.46 1788.57 891.35 1989.93 2896.34 1277.36 2890.17 2786.88 3087.32 9496.63 2883.32 1495.79 1094.49 1096.19 992.91 21
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMMPcopyleft90.63 892.40 1888.56 991.24 2591.60 696.49 977.53 2487.89 4386.87 3187.24 9696.46 3282.87 1995.59 1594.50 996.35 693.51 14
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
LGP-MVS_train90.56 992.38 1988.43 1090.88 2991.15 1195.35 2177.65 2386.26 5887.23 2490.45 6697.35 2083.20 1595.44 1693.41 1996.28 892.63 22
PGM-MVS90.42 1091.58 3289.05 691.77 1391.06 1396.51 778.94 1485.41 6687.67 1887.02 9995.26 6983.62 1395.01 2493.94 1595.79 1893.40 16
MPTG90.38 1191.35 3589.25 593.08 386.59 5596.45 1179.00 1390.23 2689.30 1085.87 11094.97 7982.54 2195.05 2394.83 795.14 2691.94 30
DeepC-MVS83.59 490.37 1292.56 1687.82 1491.26 2492.33 394.72 2680.04 790.01 3084.61 4493.33 2194.22 8880.59 2892.90 3992.52 2795.69 2092.57 23
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PMVScopyleft79.51 990.23 1392.67 1287.39 1990.16 3588.75 3693.64 3175.78 3890.00 3183.70 5692.97 2792.22 10986.13 497.01 396.79 294.94 2890.96 41
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMP80.00 890.12 1492.30 2187.58 1790.83 3191.10 1294.96 2476.06 3687.47 4785.33 4088.91 8397.65 1882.13 2395.31 1793.44 1896.14 1092.22 27
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
SteuartSystems-ACMMP90.00 1591.73 2987.97 1391.21 2690.29 2596.51 778.00 2186.33 5685.32 4188.23 8694.67 8382.08 2495.13 2293.88 1694.72 3393.59 10
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SD-MVS89.91 1692.23 2487.19 2091.31 2189.79 3094.31 2875.34 4089.26 3381.79 7492.68 3095.08 7583.88 1193.10 3692.69 2496.54 493.02 19
ACMMP_Plus89.86 1791.96 2787.42 1891.00 2790.08 2696.00 1776.61 3289.28 3287.73 1790.04 6891.80 11678.71 3694.36 2993.82 1794.48 3494.32 5
APDe-MVS89.85 1892.91 986.29 2490.47 3491.34 796.04 1676.41 3591.11 1578.50 9593.44 2095.82 5381.55 2693.16 3591.90 3694.77 3293.58 12
OPM-MVS89.82 1992.24 2386.99 2190.86 3089.35 3295.07 2375.91 3791.16 1486.87 3191.07 5897.29 2179.13 3493.32 3391.99 3594.12 3791.49 37
WR-MVS89.79 2093.66 485.27 3491.32 2088.27 4093.49 3379.86 892.75 875.37 10696.86 198.38 675.10 6495.93 894.07 1496.46 589.39 53
TSAR-MVS + MP.89.67 2192.25 2286.65 2391.53 1690.98 1696.15 1473.30 5087.88 4481.83 7392.92 2895.15 7382.23 2293.58 3292.25 3294.87 2993.01 20
CPTT-MVS89.63 2290.52 4388.59 790.95 2890.74 1995.71 1879.13 1287.70 4585.68 3980.05 13995.74 5684.77 694.28 3092.68 2595.28 2592.45 25
ACMH+79.05 1189.62 2393.08 785.58 2988.58 4889.26 3392.18 4074.23 4693.55 782.66 6592.32 3998.35 880.29 2995.28 1892.34 3095.52 2190.43 44
X-MVS89.36 2490.73 4087.77 1691.50 1891.23 896.76 478.88 1587.29 4987.14 2778.98 14394.53 8476.47 5195.25 1994.28 1295.85 1493.55 13
TSAR-MVS + ACMM89.14 2592.11 2685.67 2889.27 4290.61 2290.98 4579.48 1088.86 3679.80 8793.01 2693.53 9583.17 1692.75 4392.45 2891.32 7093.59 10
SixPastTwentyTwo89.14 2592.19 2585.58 2984.62 7482.56 8090.53 5771.93 5491.95 1085.89 3694.22 1497.25 2285.42 595.73 1291.71 3895.08 2791.89 31
APD-MVScopyleft89.14 2591.25 3786.67 2291.73 1491.02 1595.50 2077.74 2284.04 7679.47 9191.48 4894.85 8081.14 2792.94 3892.20 3494.47 3592.24 26
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PS-CasMVS89.07 2893.23 684.21 4492.44 888.23 4290.54 5682.95 390.50 2175.31 10795.80 598.37 771.16 10396.30 593.32 2092.88 5290.11 47
UA-Net89.02 2991.44 3486.20 2594.88 189.84 2994.76 2577.45 2685.41 6674.79 11088.83 8488.90 13778.67 3896.06 795.45 496.66 395.58 2
LS3D89.02 2991.69 3085.91 2789.72 3990.81 1892.56 3971.69 5590.83 1987.24 2289.71 7292.07 11278.37 3994.43 2892.59 2695.86 1391.35 38
DTE-MVSNet88.99 3192.77 1184.59 3893.31 288.10 4390.96 4683.09 291.38 1276.21 10096.03 298.04 1170.78 10995.65 1492.32 3193.18 4787.84 65
WR-MVS_H88.99 3193.28 583.99 4791.92 1189.13 3491.95 4183.23 190.14 2871.92 12695.85 498.01 1371.83 10095.82 993.19 2193.07 5090.83 43
ACMH78.40 1288.94 3392.62 1484.65 3786.45 6187.16 5291.47 4268.79 7295.49 389.74 693.55 1998.50 377.96 4294.14 3189.57 5493.49 4189.94 49
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PEN-MVS88.86 3492.92 884.11 4692.92 588.05 4590.83 4882.67 591.04 1674.83 10995.97 398.47 470.38 11095.70 1392.43 2993.05 5188.78 59
HPM-MVS++88.74 3589.54 4987.80 1592.58 785.69 6395.10 2278.01 2087.08 5087.66 1987.89 8992.07 11280.28 3090.97 6591.41 3993.17 4891.69 32
CP-MVSNet88.71 3692.63 1384.13 4592.39 988.09 4490.47 6182.86 488.79 3875.16 10894.87 797.68 1771.05 10596.16 693.18 2292.85 5389.64 51
HSP-MVS88.32 3790.71 4185.53 3190.63 3392.01 496.15 1477.52 2586.02 5981.39 8190.21 6796.08 4676.38 5388.30 8486.70 7791.12 7495.64 1
OMC-MVS88.16 3891.34 3684.46 4186.85 5890.63 2193.01 3667.00 8590.35 2587.40 2186.86 10296.35 3777.66 4492.63 4490.84 4094.84 3091.68 33
3Dnovator+83.71 388.13 3990.00 4685.94 2686.82 5991.06 1394.26 2975.39 3988.85 3785.76 3885.74 11286.92 14678.02 4193.03 3792.21 3395.39 2492.21 28
CSCG88.12 4091.45 3384.23 4388.12 5390.59 2390.57 5268.60 7491.37 1383.45 6389.94 6995.14 7478.71 3691.45 5388.21 6595.96 1293.44 15
RPSCF88.05 4192.61 1582.73 5884.24 7988.40 3890.04 6566.29 8991.46 1182.29 6788.93 8296.01 4979.38 3295.15 2194.90 694.15 3693.40 16
DeepPCF-MVS81.61 687.95 4290.29 4585.22 3587.48 5690.01 2793.79 3073.54 4888.93 3583.89 5389.40 7690.84 12580.26 3190.62 6990.19 4792.36 6092.03 29
DeepC-MVS_fast81.78 587.38 4389.64 4784.75 3689.89 3890.70 2092.74 3874.45 4486.02 5982.16 7186.05 10891.99 11575.84 5991.16 5890.44 4393.41 4391.09 40
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
v7n87.11 4490.46 4483.19 5085.22 7083.69 7190.03 6668.20 7991.01 1786.71 3494.80 898.46 577.69 4391.10 6085.98 8191.30 7188.19 62
CNVR-MVS86.93 4588.98 5384.54 3990.11 3687.41 5093.23 3573.47 4986.31 5782.25 6882.96 12592.15 11076.04 5691.69 4990.69 4192.17 6291.64 35
NCCC86.74 4687.97 6585.31 3390.64 3287.25 5193.27 3474.59 4386.50 5483.72 5575.92 16592.39 10777.08 4891.72 4890.68 4292.57 5891.30 39
train_agg86.67 4787.73 6685.43 3291.51 1782.72 7794.47 2774.22 4781.71 9881.54 8089.20 8092.87 10078.33 4090.12 7288.47 6192.51 5989.04 56
CDPH-MVS86.66 4888.52 5684.48 4089.61 4088.27 4092.86 3772.69 5280.55 11382.71 6486.92 10193.32 9675.55 6191.00 6389.85 4993.47 4289.71 50
Gipumacopyleft86.47 4989.25 5183.23 4983.88 8578.78 11985.35 11868.42 7692.69 989.03 1291.94 4296.32 4081.80 2594.45 2786.86 7390.91 7583.69 90
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PHI-MVS86.37 5088.14 6284.30 4286.65 6087.56 4890.76 4970.16 6182.55 8689.65 784.89 11892.40 10675.97 5790.88 6789.70 5192.58 5689.03 57
MSLP-MVS++86.29 5189.10 5283.01 5185.71 6889.79 3087.04 10874.39 4585.17 6878.92 9477.59 15093.57 9382.60 2093.23 3491.88 3789.42 8992.46 24
v5286.26 5290.85 3880.91 7072.49 16381.25 9990.55 5460.30 14990.43 2487.24 2294.64 1198.30 1083.16 1892.86 4186.82 7591.69 6591.65 34
V486.26 5290.85 3880.91 7072.49 16381.25 9990.55 5460.31 14890.44 2387.23 2494.64 1198.31 983.17 1692.87 4086.82 7591.69 6591.64 35
TAPA-MVS78.00 1385.88 5488.37 5882.96 5384.69 7388.62 3790.62 5064.22 12089.15 3488.05 1578.83 14493.71 9076.20 5590.11 7388.22 6494.00 3889.97 48
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
anonymousdsp85.62 5590.53 4279.88 8964.64 18976.35 13696.28 1353.53 17885.63 6381.59 7992.81 2997.71 1686.88 294.56 2692.83 2396.35 693.84 7
TSAR-MVS + COLMAP85.51 5688.36 5982.19 5986.05 6587.69 4790.50 5970.60 6086.40 5582.33 6689.69 7392.52 10474.01 7987.53 8786.84 7489.63 8587.80 66
CNLPA85.50 5788.58 5481.91 6184.55 7687.52 4990.89 4763.56 12888.18 4284.06 4983.85 12291.34 12276.46 5291.27 5589.00 5991.96 6388.88 58
PLCcopyleft76.06 1585.38 5887.46 6882.95 5485.79 6788.84 3588.86 7568.70 7387.06 5183.60 5879.02 14290.05 12977.37 4790.88 6789.66 5293.37 4486.74 72
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TSAR-MVS + GP.85.32 5987.41 7082.89 5590.07 3785.69 6389.07 7372.99 5182.45 8874.52 11385.09 11687.67 14379.24 3391.11 5990.41 4491.45 6889.45 52
TranMVSNet+NR-MVSNet85.23 6089.38 5080.39 8688.78 4783.77 7087.40 9676.75 3085.47 6468.99 13995.18 697.55 1967.13 12691.61 5089.13 5893.26 4582.95 102
v74885.21 6189.62 4880.08 8880.71 12380.27 11285.05 12163.79 12690.47 2283.54 6194.21 1598.52 276.84 5090.97 6584.25 9490.53 7888.62 60
Anonymous2023121185.16 6291.64 3177.61 11288.54 4979.81 11583.12 12874.68 4298.37 166.79 15094.56 1399.60 161.64 14591.49 5289.82 5090.91 7587.80 66
HQP-MVS85.02 6386.41 7683.40 4889.19 4386.59 5591.28 4371.60 5682.79 8483.48 6278.65 14693.54 9472.55 9686.49 9585.89 8392.28 6190.95 42
UniMVSNet (Re)84.95 6488.53 5580.78 7487.82 5584.21 6788.03 8576.50 3381.18 10869.29 13692.63 3496.83 2569.07 11691.23 5789.60 5393.97 3984.00 88
DU-MVS84.88 6588.27 6180.92 6988.30 5083.59 7287.06 10678.35 1780.64 11170.49 13292.67 3196.91 2468.13 12091.79 4689.29 5793.20 4683.02 99
MCST-MVS84.79 6686.48 7482.83 5687.30 5787.03 5490.46 6269.33 6983.14 8082.21 7081.69 13392.14 11175.09 6587.27 8984.78 9192.58 5689.30 54
UniMVSNet_NR-MVSNet84.62 6788.00 6480.68 7888.18 5283.83 6987.06 10676.47 3481.46 10470.49 13293.24 2295.56 6368.13 12090.43 7088.47 6193.78 4083.02 99
EG-PatchMatch MVS84.35 6887.55 6780.62 8186.38 6282.24 8286.75 11064.02 12384.24 7278.17 9789.38 7795.03 7778.78 3589.95 7486.33 7989.59 8685.65 78
AdaColmapbinary84.15 6985.14 9583.00 5289.08 4487.14 5390.56 5370.90 5882.40 8980.41 8473.82 17384.69 15475.19 6391.58 5189.90 4891.87 6486.48 73
PCF-MVS76.59 1484.11 7085.27 9282.76 5786.12 6488.30 3991.24 4469.10 7082.36 9084.45 4577.56 15190.40 12872.91 9585.88 9983.88 9692.72 5588.53 61
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MVS_111021_HR83.95 7186.10 8081.44 6684.62 7480.29 11190.51 5868.05 8084.07 7580.38 8584.74 11991.37 12174.23 7390.37 7187.25 6890.86 7784.59 81
TinyColmap83.79 7286.12 7981.07 6883.42 9181.44 9485.42 11668.55 7588.71 3989.46 887.60 9192.72 10170.34 11189.29 7781.94 10889.20 9081.12 120
v1383.75 7386.20 7880.89 7283.38 9281.93 8588.58 7866.09 9283.55 7784.28 4692.67 3196.79 2674.67 6984.42 11079.72 12288.36 10184.31 84
v119283.61 7485.23 9381.72 6384.05 8182.15 8389.54 6866.20 9081.38 10686.76 3391.79 4596.03 4874.88 6781.81 13780.92 11288.91 9382.50 107
v1283.59 7586.00 8380.77 7683.30 9481.83 8688.45 7965.95 9583.20 7984.15 4792.54 3696.71 2774.50 7184.19 11279.64 12388.30 10283.93 89
v124083.57 7684.94 9981.97 6084.05 8181.27 9889.46 7066.06 9381.31 10787.50 2091.88 4495.46 6676.25 5481.16 14280.51 11788.52 9982.98 101
v192192083.49 7784.94 9981.80 6283.78 8681.20 10289.50 6965.91 9681.64 10087.18 2691.70 4695.39 6775.85 5881.56 14080.27 11888.60 9782.80 103
v14419283.43 7884.97 9881.63 6583.43 9081.23 10189.42 7166.04 9481.45 10586.40 3591.46 5095.70 6075.76 6082.14 13480.23 11988.74 9482.57 106
V983.42 7985.81 8580.63 8083.20 9781.73 8988.29 8365.78 9982.87 8383.99 5292.38 3896.60 2974.30 7283.93 11379.58 12588.24 10583.55 93
Vis-MVSNetpermissive83.32 8088.12 6377.71 11077.91 14283.44 7490.58 5169.49 6681.11 10967.10 14889.85 7091.48 12071.71 10191.34 5489.37 5589.48 8890.26 45
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
v1183.30 8185.58 8880.64 7983.53 8981.74 8888.30 8265.46 10482.75 8584.63 4392.49 3796.17 4473.90 8082.69 12879.59 12488.04 10983.66 91
V1483.23 8285.59 8780.48 8483.09 10081.63 9188.13 8465.61 10182.53 8783.81 5492.17 4096.50 3074.07 7783.66 11579.51 12788.17 10683.16 97
v114483.22 8385.01 9681.14 6783.76 8781.60 9288.95 7465.58 10281.89 9485.80 3791.68 4795.84 5274.04 7882.12 13580.56 11688.70 9681.41 117
MVS_111021_LR83.20 8485.33 9080.73 7782.88 10378.23 12389.61 6765.23 10782.08 9381.19 8285.31 11492.04 11475.22 6289.50 7585.90 8290.24 8084.23 85
v1083.17 8585.22 9480.78 7483.26 9682.99 7688.66 7666.49 8879.24 12683.60 5891.46 5095.47 6474.12 7482.60 13080.66 11388.53 9884.11 87
v1583.06 8685.39 8980.35 8783.01 10181.53 9387.98 8765.47 10382.19 9283.66 5792.00 4196.40 3673.87 8183.39 11779.44 12888.10 10882.76 104
PVSNet_Blended_VisFu83.00 8784.16 11281.65 6482.17 11686.01 5988.03 8571.23 5776.05 14179.54 9083.88 12183.44 15577.49 4687.38 8884.93 9091.41 6987.40 70
NR-MVSNet82.89 8887.43 6977.59 11383.91 8483.59 7287.10 10578.35 1780.64 11168.85 14092.67 3196.50 3054.19 16787.19 9288.68 6093.16 4982.75 105
Baseline_NR-MVSNet82.79 8986.51 7378.44 10788.30 5075.62 14287.81 8874.97 4181.53 10266.84 14994.71 1096.46 3266.90 12791.79 4683.37 10385.83 14082.09 112
v782.76 9084.65 10280.55 8283.27 9581.77 8788.66 7665.10 10879.23 12783.60 5891.47 4995.47 6474.12 7482.61 12980.66 11388.52 9981.35 118
EPP-MVSNet82.76 9086.47 7578.45 10686.00 6684.47 6685.39 11768.42 7684.17 7362.97 15989.26 7976.84 17772.13 9892.56 4590.40 4595.76 1987.56 69
CLD-MVS82.75 9287.22 7177.54 11488.01 5485.76 6290.23 6454.52 17182.28 9182.11 7288.48 8595.27 6863.95 13689.41 7688.29 6386.45 13181.01 121
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
Effi-MVS+82.33 9383.87 11880.52 8384.51 7781.32 9587.53 9468.05 8074.94 14579.67 8982.37 12992.31 10872.21 9785.06 10586.91 7291.18 7284.20 86
v182.27 9484.32 10679.87 9082.86 10480.32 10887.57 9363.47 13281.87 9684.13 4891.34 5296.29 4173.23 9182.39 13179.08 13887.94 11178.98 134
v114182.26 9584.32 10679.85 9182.86 10480.31 10987.58 9163.48 13081.86 9784.03 5191.33 5396.28 4273.23 9182.39 13179.08 13887.93 11278.97 135
divwei89l23v2f11282.26 9584.32 10679.85 9182.86 10480.31 10987.58 9163.48 13081.88 9584.05 5091.33 5396.27 4373.23 9182.39 13179.08 13887.93 11278.97 135
3Dnovator79.41 1082.21 9786.07 8177.71 11079.31 13284.61 6587.18 10361.02 14585.65 6276.11 10185.07 11785.38 15270.96 10787.22 9086.47 7891.66 6788.12 64
v882.20 9884.56 10379.45 9482.42 10881.65 9087.26 9764.27 11879.36 12281.70 7591.04 6195.75 5573.30 8982.82 12479.18 13587.74 11682.09 112
v2v48282.20 9884.26 11079.81 9382.67 10780.18 11387.67 9063.96 12581.69 9984.73 4291.27 5696.33 3972.05 9981.94 13679.56 12687.79 11578.84 137
v1782.09 10084.45 10479.33 9682.41 10981.31 9687.26 9764.50 11778.72 12980.73 8390.90 6295.57 6173.37 8583.06 11879.25 13187.70 12082.35 110
Effi-MVS+-dtu82.04 10183.39 12480.48 8485.48 6986.57 5788.40 8068.28 7869.04 16473.13 12076.26 16091.11 12474.74 6888.40 8287.76 6692.84 5484.57 82
MAR-MVS81.98 10282.92 12680.88 7385.18 7185.85 6089.13 7269.52 6471.21 15782.25 6871.28 18288.89 13869.69 11288.71 8086.96 7089.52 8787.57 68
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
v1681.92 10384.32 10679.12 10282.31 11481.29 9787.20 10264.51 11678.16 13279.76 8890.86 6395.23 7073.29 9083.05 11979.29 13087.63 12182.34 111
v681.77 10483.96 11579.22 9982.41 10980.45 10787.26 9762.91 14079.29 12381.65 7691.08 5795.74 5673.32 8682.84 12179.21 13487.73 11779.07 131
v1neww81.76 10583.95 11679.21 10082.41 10980.46 10587.26 9762.93 13679.28 12481.62 7791.06 5995.72 5873.31 8782.83 12279.22 13287.73 11779.07 131
v7new81.76 10583.95 11679.21 10082.41 10980.46 10587.26 9762.93 13679.28 12481.62 7791.06 5995.72 5873.31 8782.83 12279.22 13287.73 11779.07 131
IS_MVSNet81.72 10785.01 9677.90 10986.19 6382.64 7985.56 11570.02 6280.11 11763.52 15687.28 9581.18 16467.26 12491.08 6289.33 5694.82 3183.42 95
v1881.62 10883.99 11478.86 10382.08 11781.12 10386.93 10964.24 11977.44 13379.47 9190.53 6494.99 7872.99 9482.72 12779.18 13587.48 12481.91 115
FPMVS81.56 10984.04 11378.66 10482.92 10275.96 13886.48 11365.66 10084.67 7171.47 12877.78 14883.22 15777.57 4591.24 5690.21 4687.84 11485.21 79
Fast-Effi-MVS+81.42 11083.82 11978.62 10582.24 11580.62 10487.72 8963.51 12973.01 14874.75 11183.80 12392.70 10273.44 8488.15 8685.26 8790.05 8183.17 96
USDC81.39 11183.07 12579.43 9581.48 12178.95 11882.62 13266.17 9187.45 4890.73 482.40 12893.65 9266.57 12983.63 11677.97 14289.00 9277.45 143
MSDG81.39 11184.23 11178.09 10882.40 11382.47 8185.31 12060.91 14679.73 12080.26 8686.30 10588.27 14169.67 11387.20 9184.98 8989.97 8380.67 122
canonicalmvs81.22 11386.04 8275.60 12183.17 9983.18 7580.29 14365.82 9885.97 6167.98 14677.74 14991.51 11965.17 13288.62 8186.15 8091.17 7389.09 55
pmmvs680.46 11488.34 6071.26 13881.96 11877.51 12677.54 15668.83 7193.72 655.92 17193.94 1898.03 1255.94 16289.21 7885.61 8487.36 12580.38 123
QAPM80.43 11584.34 10575.86 11979.40 13182.06 8479.86 14861.94 14283.28 7874.73 11281.74 13285.44 15170.97 10684.99 10784.71 9288.29 10388.14 63
PM-MVS80.42 11683.63 12176.67 11678.04 14172.37 14987.14 10460.18 15180.13 11671.75 12786.12 10793.92 8977.08 4886.56 9485.12 8885.83 14081.18 119
IterMVS-LS79.79 11782.56 12876.56 11881.83 11977.85 12479.90 14769.42 6878.93 12871.21 12990.47 6585.20 15370.86 10880.54 14780.57 11586.15 13384.36 83
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DELS-MVS79.71 11883.74 12075.01 12479.31 13282.68 7884.79 12360.06 15275.43 14369.09 13886.13 10689.38 13167.16 12585.12 10483.87 9789.65 8483.57 92
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
pmmvs-eth3d79.64 11982.06 13076.83 11580.05 12772.64 14887.47 9566.59 8780.83 11073.50 11789.32 7893.20 9767.78 12280.78 14581.64 11085.58 14276.01 145
UGNet79.62 12085.91 8472.28 13673.52 15783.91 6886.64 11169.51 6579.85 11962.57 16185.82 11189.63 13053.18 17088.39 8387.35 6788.28 10486.43 74
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
V4279.59 12183.59 12274.93 12669.61 17577.05 13386.59 11255.84 16778.42 13177.29 9889.84 7195.08 7574.12 7483.05 11980.11 12086.12 13481.59 116
EPNet79.36 12279.44 13779.27 9889.51 4177.20 13188.35 8177.35 2968.27 16674.29 11476.31 15879.22 16859.63 15085.02 10685.45 8686.49 13084.61 80
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v14879.33 12382.32 12975.84 12080.14 12675.74 13981.98 13557.06 16381.51 10379.36 9389.42 7596.42 3471.32 10281.54 14175.29 15585.20 14476.32 144
FC-MVSNet-train79.20 12486.29 7770.94 14184.06 8077.67 12585.68 11464.11 12282.90 8252.22 18392.57 3593.69 9149.52 17988.30 8486.93 7190.03 8281.95 114
TransMVSNet (Re)79.05 12586.66 7270.18 14883.32 9375.99 13777.54 15663.98 12490.68 2055.84 17294.80 896.06 4753.73 16986.27 9783.22 10486.65 12779.61 129
no-one78.59 12685.28 9170.79 14259.01 19668.77 16176.62 16046.06 18980.25 11575.75 10481.85 13197.75 1583.63 1290.99 6487.20 6983.67 14990.14 46
OpenMVScopyleft75.38 1678.44 12781.39 13274.99 12580.46 12479.85 11479.99 14558.31 15977.34 13473.85 11677.19 15482.33 16268.60 11984.67 10981.95 10788.72 9586.40 75
pm-mvs178.21 12885.68 8669.50 15280.38 12575.73 14076.25 16165.04 10987.59 4654.47 17793.16 2495.99 5154.20 16686.37 9682.98 10586.64 12877.96 142
FMVSNet178.20 12984.83 10170.46 14678.62 13779.03 11777.90 15567.53 8483.02 8155.10 17487.19 9793.18 9855.65 16385.57 10083.39 10087.98 11082.40 108
DI_MVS_plusplus_trai77.64 13079.64 13675.31 12379.87 12976.89 13481.55 13863.64 12776.21 14072.03 12585.59 11382.97 15866.63 12879.27 15077.78 14488.14 10778.76 138
Fast-Effi-MVS+-dtu76.92 13177.18 14576.62 11779.55 13079.17 11684.80 12277.40 2764.46 18068.75 14270.81 18886.57 14763.36 14281.74 13881.76 10985.86 13975.78 147
MVS_Test76.72 13279.40 13873.60 13078.85 13674.99 14379.91 14661.56 14469.67 16072.44 12185.98 10990.78 12663.50 14078.30 15275.74 15485.33 14380.31 127
MDA-MVSNet-bldmvs76.51 13382.87 12769.09 15350.71 20774.72 14584.05 12760.27 15081.62 10171.16 13088.21 8791.58 11769.62 11492.78 4277.48 14778.75 16273.69 153
EU-MVSNet76.48 13480.53 13471.75 13767.62 18070.30 15281.74 13654.06 17475.47 14271.01 13180.10 13793.17 9973.67 8283.73 11477.85 14382.40 15483.07 98
PVSNet_BlendedMVS76.45 13578.12 13974.49 12776.76 14778.46 12079.65 14963.26 13465.42 17673.15 11875.05 16988.96 13566.51 13082.73 12577.66 14587.61 12278.60 139
PVSNet_Blended76.45 13578.12 13974.49 12776.76 14778.46 12079.65 14963.26 13465.42 17673.15 11875.05 16988.96 13566.51 13082.73 12577.66 14587.61 12278.60 139
Vis-MVSNet (Re-imp)76.15 13780.84 13370.68 14383.66 8874.80 14481.66 13769.59 6380.48 11446.94 18887.44 9280.63 16653.14 17186.87 9384.56 9389.12 9171.12 156
PatchMatch-RL76.05 13876.64 14975.36 12277.84 14369.87 15581.09 14063.43 13371.66 15568.34 14471.70 17881.76 16374.98 6684.83 10883.44 9986.45 13173.22 154
pmmvs475.92 13977.48 14474.10 12978.21 14070.94 15184.06 12664.78 11275.13 14468.47 14384.12 12083.32 15664.74 13575.93 16279.14 13784.31 14773.77 152
FC-MVSNet-test75.91 14083.59 12266.95 16176.63 15369.07 15885.33 11964.97 11184.87 7041.95 19393.17 2387.04 14547.78 18291.09 6185.56 8585.06 14574.34 150
CVMVSNet75.65 14177.62 14373.35 13371.95 16769.89 15483.04 13160.84 14769.12 16268.76 14179.92 14078.93 17073.64 8381.02 14381.01 11181.86 15683.43 94
IB-MVS71.28 1775.21 14277.00 14873.12 13476.76 14777.45 12783.05 13058.92 15663.01 18464.31 15559.99 20287.57 14468.64 11886.26 9882.34 10687.05 12682.36 109
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
GA-MVS75.01 14376.39 15173.39 13178.37 13875.66 14180.03 14458.40 15870.51 15875.85 10383.24 12476.14 17863.75 13777.28 15576.62 15183.97 14875.30 149
FMVSNet274.43 14479.70 13568.27 15576.76 14777.36 12875.77 16565.36 10672.28 15352.97 18181.92 13085.61 15052.73 17480.66 14679.73 12186.04 13580.37 124
diffmvs73.65 14577.10 14669.63 15173.21 15869.52 15679.35 15357.48 16073.80 14768.08 14587.10 9882.39 16061.36 14674.27 16574.51 15678.31 16378.14 141
IterMVS73.62 14676.53 15070.23 14771.83 16877.18 13280.69 14253.22 17972.23 15466.62 15185.21 11578.96 16969.54 11576.28 16171.63 16479.45 15974.25 151
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MIMVSNet173.40 14781.85 13163.55 17272.90 16064.37 17384.58 12453.60 17790.84 1853.92 17887.75 9096.10 4545.31 18485.37 10379.32 12970.98 17869.18 162
HyFIR lowres test73.29 14874.14 15972.30 13573.08 15978.33 12283.12 12862.41 14163.81 18162.13 16276.67 15778.50 17171.09 10474.13 16677.47 14881.98 15570.10 157
GBi-Net73.17 14977.64 14167.95 15676.76 14777.36 12875.77 16564.57 11362.99 18551.83 18476.05 16177.76 17452.73 17485.57 10083.39 10086.04 13580.37 124
test173.17 14977.64 14167.95 15676.76 14777.36 12875.77 16564.57 11362.99 18551.83 18476.05 16177.76 17452.73 17485.57 10083.39 10086.04 13580.37 124
CDS-MVSNet73.07 15177.02 14768.46 15481.62 12072.89 14779.56 15170.78 5969.56 16152.52 18277.37 15381.12 16542.60 18784.20 11183.93 9583.65 15070.07 158
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MDTV_nov1_ep13_2view72.96 15275.59 15569.88 14971.15 17264.86 17282.31 13454.45 17276.30 13978.32 9686.52 10391.58 11761.35 14776.80 15666.83 17671.70 17366.26 168
gg-mvs-nofinetune72.68 15375.21 15669.73 15081.48 12169.04 15970.48 18076.67 3186.92 5267.80 14788.06 8864.67 18942.12 18977.60 15373.65 15879.81 15866.57 167
EPNet_dtu71.90 15473.03 16370.59 14478.28 13961.64 17882.44 13364.12 12163.26 18369.74 13471.47 18082.41 15951.89 17778.83 15178.01 14177.07 16475.60 148
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
gm-plane-assit71.56 15569.99 16573.39 13184.43 7873.21 14690.42 6351.36 18584.08 7476.00 10291.30 5537.09 21159.01 15373.65 17170.24 16879.09 16160.37 184
CMPMVSbinary55.74 1871.56 15576.26 15266.08 16668.11 17963.91 17563.17 20050.52 18768.79 16575.49 10570.78 18985.67 14963.54 13981.58 13977.20 14975.63 16585.86 77
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
FMVSNet371.40 15775.20 15766.97 16075.00 15576.59 13574.29 17064.57 11362.99 18551.83 18476.05 16177.76 17451.49 17876.58 15977.03 15084.62 14679.43 130
MS-PatchMatch71.18 15873.99 16067.89 15877.16 14571.76 15077.18 15856.38 16667.35 16855.04 17574.63 17175.70 17962.38 14476.62 15875.97 15379.22 16075.90 146
test20.0369.91 15976.20 15362.58 17384.01 8367.34 16575.67 16965.88 9779.98 11840.28 19782.65 12689.31 13339.63 19177.41 15473.28 15969.98 17963.40 176
CR-MVSNet69.56 16068.34 17370.99 13972.78 16267.63 16364.47 19767.74 8259.93 19472.30 12280.10 13756.77 19865.04 13371.64 17972.91 16083.61 15269.40 160
pmmvs568.91 16174.35 15862.56 17467.45 18266.78 16771.70 17751.47 18467.17 17156.25 17082.41 12788.59 13947.21 18373.21 17574.23 15781.30 15768.03 165
CHOSEN 1792x268868.80 16271.09 16466.13 16569.11 17768.89 16078.98 15454.68 16961.63 19156.69 16871.56 17978.39 17267.69 12372.13 17772.01 16369.63 18173.02 155
tpmp4_e2368.32 16366.04 17670.98 14077.52 14469.23 15780.99 14165.46 10468.09 16769.25 13770.77 19054.03 20459.35 15169.01 18663.02 18373.34 17068.15 164
testgi68.20 16476.05 15459.04 18079.99 12867.32 16681.16 13951.78 18384.91 6939.36 20073.42 17495.19 7132.79 19776.54 16070.40 16769.14 18264.55 172
MVSTER68.08 16569.73 16766.16 16466.33 18770.06 15375.71 16852.36 18155.18 20358.64 16570.23 19256.72 19957.34 15879.68 14976.03 15286.61 12980.20 128
Anonymous2023120667.28 16673.41 16260.12 17976.45 15463.61 17674.21 17156.52 16576.35 13842.23 19275.81 16690.47 12741.51 19074.52 16369.97 16969.83 18063.17 177
RPMNet67.02 16763.99 18470.56 14571.55 17067.63 16375.81 16369.44 6759.93 19463.24 15764.32 19647.51 20759.68 14970.37 18369.64 17083.64 15168.49 163
CostFormer66.81 16866.94 17466.67 16272.79 16168.25 16279.55 15255.57 16865.52 17562.77 16076.98 15560.09 19356.73 16065.69 19662.35 18472.59 17169.71 159
PatchT66.25 16966.76 17565.67 16955.87 20160.75 18070.17 18159.00 15559.80 19672.30 12278.68 14554.12 20365.04 13371.64 17972.91 16071.63 17569.40 160
LP65.71 17069.91 16660.81 17856.75 20061.37 17969.55 18756.80 16473.01 14860.48 16479.76 14170.57 18655.47 16572.77 17667.19 17565.81 18864.71 171
dps65.14 17164.50 18265.89 16871.41 17165.81 17071.44 17961.59 14358.56 19761.43 16375.45 16752.70 20658.06 15669.57 18564.65 17971.39 17664.77 170
MDTV_nov1_ep1364.96 17264.77 18165.18 17167.08 18362.46 17775.80 16451.10 18662.27 19069.74 13474.12 17262.65 19055.64 16468.19 18862.16 18871.70 17361.57 183
PatchmatchNetpermissive64.81 17363.74 18666.06 16769.21 17658.62 18373.16 17460.01 15365.92 17266.19 15376.27 15959.09 19460.45 14866.58 19361.47 19167.33 18558.24 189
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpm cat164.79 17462.74 19067.17 15974.61 15665.91 16976.18 16259.32 15464.88 17966.41 15271.21 18353.56 20559.17 15261.53 20258.16 19567.33 18563.95 173
DWT-MVSNet_training63.07 17560.04 19766.61 16371.64 16965.27 17176.80 15953.82 17555.90 20063.07 15862.23 20041.87 21062.54 14364.32 19963.71 18171.78 17266.97 166
MIMVSNet63.02 17669.02 16956.01 18568.20 17859.26 18270.01 18353.79 17671.56 15641.26 19671.38 18182.38 16136.38 19371.43 18167.32 17466.45 18759.83 186
TAMVS63.02 17669.30 16855.70 18770.12 17356.89 18669.63 18645.13 19070.23 15938.00 20277.79 14775.15 18042.60 18774.48 16472.81 16268.70 18357.75 191
tpm62.79 17863.25 18762.26 17570.09 17453.78 19271.65 17847.31 18865.72 17476.70 9980.62 13456.40 20148.11 18164.20 20058.54 19359.70 19763.47 175
pmmvs362.72 17968.71 17055.74 18650.74 20657.10 18570.05 18228.82 20561.57 19357.39 16771.19 18485.73 14853.96 16873.36 17469.43 17173.47 16962.55 179
new-patchmatchnet62.59 18073.79 16149.53 19876.98 14653.57 19353.46 20854.64 17085.43 6528.81 20891.94 4296.41 3525.28 20576.80 15653.66 20257.99 19958.69 188
test-LLR62.15 18159.46 20165.29 17079.07 13452.66 19569.46 18962.93 13650.76 20753.81 17963.11 19858.91 19552.87 17266.54 19462.34 18573.59 16761.87 181
PMMVS61.98 18265.61 17857.74 18245.03 20851.76 19969.54 18835.05 20055.49 20255.32 17368.23 19378.39 17258.09 15570.21 18471.56 16583.42 15363.66 174
test0.0.03 161.79 18365.33 17957.65 18379.07 13464.09 17468.51 19362.93 13661.59 19233.71 20461.58 20171.58 18533.43 19670.95 18268.68 17268.26 18458.82 187
test123567860.73 18468.46 17151.71 19561.76 19156.73 18873.40 17242.24 19467.34 16939.55 19870.90 18592.54 10328.75 20073.84 16866.00 17764.57 19051.90 197
testmv60.72 18568.44 17251.71 19561.76 19156.70 18973.40 17242.24 19467.31 17039.54 19970.88 18692.49 10528.75 20073.83 16966.00 17764.56 19151.89 198
MVS-HIRNet59.74 18658.74 20460.92 17757.74 19945.81 20656.02 20658.69 15755.69 20165.17 15470.86 18771.66 18356.75 15961.11 20353.74 20171.17 17752.28 196
tpmrst59.42 18760.02 19858.71 18167.56 18153.10 19466.99 19451.88 18263.80 18257.68 16676.73 15656.49 20048.73 18056.47 20655.55 19859.43 19858.02 190
test-mter59.39 18861.59 19256.82 18453.21 20254.82 19073.12 17526.57 20753.19 20456.31 16964.71 19460.47 19256.36 16168.69 18764.27 18075.38 16665.00 169
E-PMN59.07 18962.79 18954.72 18867.01 18547.81 20560.44 20343.40 19172.95 15044.63 19070.42 19173.17 18258.73 15480.97 14451.98 20354.14 20342.26 206
EMVS58.97 19062.63 19154.70 18966.26 18848.71 20161.74 20142.71 19272.80 15246.00 18973.01 17771.66 18357.91 15780.41 14850.68 20653.55 20441.11 207
testus57.41 19164.98 18048.58 20059.39 19557.17 18468.81 19232.86 20262.32 18943.25 19157.59 20388.49 14024.19 20671.68 17863.20 18262.99 19354.42 194
TESTMET0.1,157.21 19259.46 20154.60 19050.95 20552.66 19569.46 18926.91 20650.76 20753.81 17963.11 19858.91 19552.87 17266.54 19462.34 18573.59 16761.87 181
ADS-MVSNet56.89 19361.09 19352.00 19359.48 19448.10 20458.02 20454.37 17372.82 15149.19 18775.32 16865.97 18837.96 19259.34 20554.66 20052.99 20551.42 199
EPMVS56.62 19459.77 19952.94 19262.41 19050.55 20060.66 20252.83 18065.15 17841.80 19477.46 15257.28 19742.68 18659.81 20454.82 19957.23 20053.35 195
FMVSNet556.37 19560.14 19651.98 19460.83 19359.58 18166.85 19542.37 19352.68 20541.33 19547.09 20854.68 20235.28 19473.88 16770.77 16665.24 18962.26 180
CHOSEN 280x42056.32 19658.85 20353.36 19151.63 20439.91 20969.12 19138.61 19956.29 19936.79 20348.84 20762.59 19163.39 14173.61 17267.66 17360.61 19563.07 178
testpf55.64 19750.84 20661.24 17667.03 18454.45 19172.29 17665.04 10937.23 20954.99 17653.99 20443.12 20944.34 18555.22 20751.59 20563.76 19260.25 185
111155.38 19859.51 20050.57 19772.41 16548.16 20269.76 18457.08 16176.79 13632.10 20580.12 13535.41 21225.87 20267.23 18957.74 19646.17 20751.09 200
N_pmnet54.95 19965.90 17742.18 20366.37 18643.86 20857.92 20539.79 19879.54 12117.24 21286.31 10487.91 14225.44 20464.68 19751.76 20446.33 20647.23 202
test1235654.63 20063.78 18543.96 20151.77 20351.90 19865.92 19630.12 20362.44 18830.38 20764.65 19589.07 13430.62 19873.53 17362.11 18954.92 20142.78 205
new_pmnet52.29 20163.16 18839.61 20558.89 19744.70 20748.78 21034.73 20165.88 17317.85 21173.42 17480.00 16723.06 20767.00 19262.28 18754.36 20248.81 201
MVEpermissive41.12 1951.80 20260.92 19441.16 20435.21 21034.14 21148.45 21141.39 19669.11 16319.53 21063.33 19773.80 18163.56 13867.19 19161.51 19038.85 20857.38 192
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test235651.28 20353.40 20548.80 19958.53 19852.10 19763.63 19940.83 19751.94 20639.35 20153.46 20545.22 20828.78 19964.39 19860.77 19261.70 19445.92 203
PMMVS248.13 20464.06 18329.55 20644.06 20936.69 21051.95 20929.97 20474.75 1468.90 21476.02 16491.24 1237.53 20873.78 17055.91 19734.87 20940.01 208
.test124543.71 20544.35 20742.95 20272.41 16548.16 20269.76 18457.08 16176.79 13632.10 20580.12 13535.41 21225.87 20267.23 1891.08 2090.48 2121.68 209
GG-mvs-BLEND41.63 20660.36 19519.78 2070.14 21466.04 16855.66 2070.17 21257.64 1982.42 21551.82 20669.42 1870.28 21264.11 20158.29 19460.02 19655.18 193
test1231.06 2071.41 2080.64 2090.39 2120.48 2140.52 2160.25 2111.11 2131.37 2162.01 2121.98 2160.87 2101.43 2101.27 2080.46 2141.62 211
testmvs0.93 2081.37 2090.41 2100.36 2130.36 2150.62 2150.39 2101.48 2120.18 2172.41 2111.31 2170.41 2111.25 2111.08 2090.48 2121.68 209
sosnet-low-res0.00 2090.00 2100.00 2110.00 2150.00 2160.00 2170.00 2130.00 2140.00 2180.00 2130.00 2180.00 2130.00 2120.00 2110.00 2150.00 212
sosnet0.00 2090.00 2100.00 2110.00 2150.00 2160.00 2170.00 2130.00 2140.00 2180.00 2130.00 2180.00 2130.00 2120.00 2110.00 2150.00 212
ambc88.38 5791.62 1587.97 4684.48 12588.64 4087.93 1687.38 9394.82 8274.53 7089.14 7983.86 9885.94 13886.84 71
MTAPA89.37 994.85 80
MTMP90.54 595.16 72
Patchmatch-RL test4.13 214
tmp_tt13.54 20816.73 2116.42 2138.49 2132.36 20928.69 21127.44 20918.40 21013.51 2153.70 20933.23 20836.26 20722.54 211
XVS91.28 2291.23 896.89 287.14 2794.53 8495.84 15
X-MVStestdata91.28 2291.23 896.89 287.14 2794.53 8495.84 15
abl_679.30 9784.98 7285.78 6190.50 5966.88 8677.08 13574.02 11573.29 17689.34 13268.94 11790.49 7985.98 76
mPP-MVS93.05 495.77 54
NP-MVS78.65 130
Patchmtry56.88 18764.47 19767.74 8272.30 122
DeepMVS_CXcopyleft17.78 21220.40 2126.69 20831.41 2109.80 21338.61 20934.88 21433.78 19528.41 20923.59 21045.77 204