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
LCM-MVSNet95.70 196.40 193.61 298.67 185.39 2295.54 397.36 196.97 199.04 199.05 196.61 195.92 685.07 2899.27 399.54 1
TDRefinement93.52 293.39 393.88 195.94 1090.26 395.70 296.46 290.58 792.86 3796.29 1688.16 2294.17 5686.07 2498.48 1997.22 25
LTVRE_ROB86.10 193.04 393.44 291.82 1593.73 3885.72 2196.79 195.51 488.86 1195.63 1096.99 684.81 4493.16 10791.10 197.53 4996.58 36
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
HPM-MVS_fast92.50 492.54 492.37 395.93 1185.81 2092.99 1094.23 1585.21 2292.51 4495.13 4090.65 995.34 2788.06 598.15 3095.95 48
HPM-MVS92.13 592.20 691.91 1295.58 1784.67 3193.51 694.85 982.88 3691.77 5393.94 7890.55 1195.73 1488.50 498.23 2795.33 66
APD-MVS_3200maxsize92.05 692.24 591.48 1693.02 5385.17 2492.47 1895.05 887.65 1793.21 3394.39 6190.09 1295.08 3486.67 1697.60 4894.18 88
COLMAP_ROBcopyleft83.01 391.97 791.95 792.04 793.68 3986.15 1293.37 895.10 790.28 892.11 4895.03 4289.75 1394.93 3779.95 9298.27 2595.04 72
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ACMMPcopyleft91.91 891.87 1292.03 895.53 1885.91 1593.35 994.16 1882.52 4092.39 4794.14 6989.15 1595.62 1687.35 1198.24 2694.56 77
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
mPP-MVS91.69 991.47 1792.37 396.04 988.48 592.72 1292.60 6383.09 3391.54 5694.25 6587.67 2795.51 2487.21 1598.11 3193.12 116
CP-MVS91.67 1091.58 1491.96 995.29 2187.62 693.38 793.36 3283.16 3291.06 6294.00 7288.26 1995.71 1587.28 1498.39 2192.55 126
XVS91.54 1191.36 1992.08 595.64 1586.25 1092.64 1393.33 3485.07 2389.99 7694.03 7186.57 3395.80 1187.35 1197.62 4694.20 86
UA-Net91.49 1291.53 1591.39 1894.98 2582.95 4393.52 592.79 5788.22 1488.53 11097.64 283.45 5394.55 4886.02 2598.60 1496.67 34
ACMMPR91.49 1291.35 2191.92 1195.74 1385.88 1792.58 1693.25 4081.99 4691.40 5994.17 6887.51 2895.87 887.74 697.76 4193.99 91
LPG-MVS_test91.47 1491.68 1390.82 2794.75 2881.69 4490.00 3394.27 1282.35 4193.67 2794.82 4691.18 495.52 2285.36 2698.73 895.23 69
region2R91.44 1591.30 2391.87 1395.75 1285.90 1692.63 1593.30 3781.91 4890.88 6794.21 6687.75 2495.87 887.60 997.71 4493.83 95
HFP-MVS91.30 1691.39 1891.02 2395.43 1984.66 3292.58 1693.29 3881.99 4691.47 5793.96 7588.35 1795.56 1987.74 697.74 4292.85 119
APDe-MVS91.22 1791.92 889.14 4692.97 5578.04 6692.84 1194.14 1983.33 3093.90 2395.73 2688.77 1696.41 187.60 997.98 3792.98 118
PGM-MVS91.20 1890.95 2791.93 1095.67 1485.85 1890.00 3393.90 2480.32 6291.74 5494.41 6088.17 2195.98 486.37 1797.99 3693.96 93
SteuartSystems-ACMMP91.16 1991.36 1990.55 3093.91 3780.97 5191.49 2593.48 3182.82 3792.60 4393.97 7388.19 2096.29 287.61 898.20 2994.39 84
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MP-MVScopyleft91.14 2090.91 2891.83 1496.18 886.88 892.20 1993.03 4982.59 3988.52 11194.37 6286.74 3295.41 2586.32 1898.21 2893.19 115
ACMH+77.89 1190.73 2191.50 1688.44 5193.00 5476.26 8489.65 4295.55 387.72 1693.89 2494.94 4491.62 393.44 9478.35 10598.76 595.61 61
ACMM79.39 990.65 2290.99 2589.63 4195.03 2483.53 3789.62 4393.35 3379.20 7593.83 2593.60 8290.81 792.96 11385.02 3098.45 2092.41 129
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LS3D90.60 2390.34 3491.38 1989.03 13184.23 3593.58 494.68 1090.65 690.33 7193.95 7784.50 4795.37 2680.87 7795.50 10694.53 80
ACMP79.16 1090.54 2490.60 3190.35 3494.36 3180.98 5089.16 5294.05 2179.03 7992.87 3693.74 8190.60 1095.21 3282.87 5698.76 594.87 73
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
#test#90.49 2590.31 3591.02 2395.43 1984.66 3290.65 3093.29 3877.00 10191.47 5793.96 7588.35 1795.56 1984.88 3197.74 4292.85 119
v7n90.13 2690.96 2687.65 6391.95 8071.06 11789.99 3593.05 4686.53 1994.29 1996.27 1782.69 6094.08 5986.25 2197.63 4597.82 10
PMVScopyleft80.48 690.08 2790.66 3088.34 5396.71 292.97 290.31 3189.57 14288.51 1390.11 7295.12 4190.98 688.92 18777.55 11297.07 5783.13 234
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PS-CasMVS90.06 2891.92 884.47 11596.56 458.83 21789.04 5392.74 5891.40 496.12 496.06 2187.23 2995.57 1879.42 10098.74 799.00 2
PEN-MVS90.03 2991.88 1184.48 11496.57 358.88 21688.95 5493.19 4191.62 396.01 696.16 2087.02 3095.60 1778.69 10398.72 1098.97 3
OurMVSNet-221017-090.01 3089.74 3990.83 2693.16 5080.37 5291.91 2393.11 4381.10 5595.32 1297.24 472.94 16594.85 3985.07 2897.78 4097.26 22
DTE-MVSNet89.98 3191.91 1084.21 12296.51 557.84 22088.93 5592.84 5691.92 296.16 396.23 1886.95 3195.99 379.05 10198.57 1698.80 6
XVG-ACMP-BASELINE89.98 3189.84 3790.41 3294.91 2784.50 3489.49 4893.98 2279.68 6892.09 4993.89 7983.80 5093.10 10982.67 6098.04 3293.64 104
v5289.97 3390.60 3188.07 5788.69 13672.01 10991.35 2692.64 6182.22 4395.97 896.31 1484.82 4393.98 6388.59 294.83 12798.23 7
V489.97 3390.60 3188.07 5788.69 13672.01 10991.35 2692.64 6182.22 4395.98 796.31 1484.80 4593.98 6388.59 294.83 12798.23 7
3Dnovator+83.92 289.97 3389.66 4090.92 2591.27 9881.66 4791.25 2894.13 2088.89 1088.83 10594.26 6477.55 10595.86 1084.88 3195.87 9795.24 68
WR-MVS_H89.91 3691.31 2285.71 9396.32 762.39 18289.54 4693.31 3690.21 995.57 1195.66 2881.42 7995.90 780.94 7698.80 498.84 5
mvs_tets89.78 3789.27 4491.30 2093.51 4184.79 2989.89 3790.63 11270.00 16894.55 1696.67 987.94 2393.59 7884.27 3995.97 9295.52 62
test_djsdf89.62 3889.01 4691.45 1792.36 7082.98 4291.98 2190.08 13271.54 15694.28 2096.54 1181.57 7794.27 5086.26 1996.49 7497.09 29
XVG-OURS-SEG-HR89.59 3989.37 4390.28 3594.47 3085.95 1486.84 8293.91 2380.07 6586.75 13693.26 8493.64 290.93 15684.60 3590.75 19393.97 92
APD-MVScopyleft89.54 4089.63 4189.26 4592.57 6381.34 4990.19 3293.08 4580.87 5791.13 6193.19 8586.22 3895.97 582.23 6497.18 5590.45 164
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
jajsoiax89.41 4188.81 5091.19 2293.38 4584.72 3089.70 3990.29 12769.27 17194.39 1796.38 1386.02 4093.52 8883.96 4295.92 9595.34 65
CPTT-MVS89.39 4288.98 4890.63 2995.09 2386.95 792.09 2092.30 6879.74 6787.50 12492.38 10581.42 7993.28 10283.07 5397.24 5391.67 142
ACMH76.49 1489.34 4391.14 2483.96 12892.50 6670.36 12189.55 4493.84 2581.89 4994.70 1495.44 3690.69 888.31 19483.33 4998.30 2493.20 114
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CP-MVSNet89.27 4490.91 2884.37 11896.34 658.61 21988.66 6092.06 7390.78 595.67 995.17 3981.80 7595.54 2179.00 10298.69 1198.95 4
XVG-OURS89.18 4588.83 4990.23 3694.28 3286.11 1385.91 9693.60 2980.16 6489.13 10193.44 8383.82 4990.98 15483.86 4595.30 11393.60 106
DeepC-MVS82.31 489.15 4689.08 4589.37 4493.64 4079.07 5988.54 6194.20 1673.53 12889.71 8694.82 4685.09 4295.77 1384.17 4198.03 3493.26 112
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SD-MVS88.96 4789.88 3686.22 8191.63 8677.07 7689.82 3893.77 2678.90 8092.88 3592.29 10986.11 3990.22 17486.24 2297.24 5391.36 148
HPM-MVS++88.93 4888.45 5490.38 3394.92 2685.85 1889.70 3991.27 10278.20 8786.69 13792.28 11080.36 8695.06 3586.17 2396.49 7490.22 168
v74888.91 4989.82 3886.19 8590.06 12168.53 13288.81 5791.48 8784.36 2694.19 2195.98 2282.52 6392.67 12184.30 3896.67 6897.37 19
test_040288.65 5089.58 4285.88 9092.55 6472.22 10884.01 12089.44 14488.63 1294.38 1895.77 2586.38 3793.59 7879.84 9395.21 11491.82 139
DP-MVS88.60 5189.01 4687.36 6791.30 9677.50 7187.55 7092.97 5187.95 1589.62 9292.87 9484.56 4693.89 6677.65 11196.62 6990.70 157
wuykxyi23d88.46 5288.80 5187.44 6690.96 10693.03 185.85 9881.96 20574.58 12098.58 297.29 387.73 2587.31 20082.84 5899.41 181.99 247
PS-MVSNAJss88.31 5387.90 5789.56 4393.31 4677.96 6787.94 6591.97 7670.73 16294.19 2196.67 976.94 11294.57 4683.07 5396.28 7996.15 39
OMC-MVS88.19 5487.52 6190.19 3791.94 8281.68 4687.49 7293.17 4276.02 10988.64 10891.22 13284.24 4893.37 9777.97 11097.03 5895.52 62
RPSCF88.00 5586.93 7391.22 2190.08 11989.30 489.68 4191.11 10579.26 7489.68 8794.81 4982.44 6487.74 19776.54 12088.74 21096.61 35
AllTest87.97 5687.40 6589.68 3991.59 8783.40 3889.50 4795.44 579.47 7088.00 11893.03 8882.66 6191.47 14370.81 15296.14 8694.16 89
TranMVSNet+NR-MVSNet87.86 5788.76 5285.18 9994.02 3464.13 15384.38 11691.29 10184.88 2592.06 5093.84 8086.45 3593.73 6973.22 14298.66 1297.69 11
nrg03087.85 5888.49 5385.91 8990.07 12069.73 12387.86 6694.20 1674.04 12392.70 4194.66 5085.88 4191.50 14279.72 9497.32 5296.50 37
CNVR-MVS87.81 5987.68 6088.21 5492.87 5777.30 7585.25 10591.23 10377.31 9787.07 13191.47 12882.94 5894.71 4284.67 3496.27 8192.62 125
HQP_MVS87.75 6087.43 6488.70 4993.45 4276.42 8289.45 4993.61 2779.44 7286.55 13892.95 9274.84 12995.22 3080.78 7995.83 9994.46 81
NCCC87.36 6186.87 7488.83 4792.32 7278.84 6286.58 9291.09 10678.77 8284.85 16190.89 14980.85 8295.29 2881.14 7395.32 11092.34 132
v1387.31 6288.10 5584.94 10188.84 13363.75 15787.85 6791.47 9079.12 7693.72 2695.82 2475.20 12393.58 8184.76 3396.16 8497.48 16
DeepPCF-MVS81.24 587.28 6386.21 8590.49 3191.48 9484.90 2783.41 14192.38 6770.25 16789.35 9990.68 15682.85 5994.57 4679.55 9695.95 9392.00 137
SixPastTwentyTwo87.20 6487.45 6386.45 7592.52 6569.19 13087.84 6888.05 15681.66 5194.64 1596.53 1265.94 20294.75 4183.02 5596.83 6495.41 64
v1287.15 6587.91 5684.84 10388.69 13663.52 16087.58 6991.46 9178.74 8393.57 2995.66 2874.94 12793.57 8284.50 3696.08 8997.43 17
v1186.96 6687.78 5884.51 11288.50 14262.60 17887.21 7591.63 8278.08 9093.40 3195.56 3375.07 12493.57 8284.46 3796.08 8997.36 20
V986.96 6687.70 5984.74 10788.52 14163.27 16687.31 7491.45 9378.28 8693.43 3095.45 3574.59 13593.57 8284.23 4096.01 9197.38 18
UniMVSNet (Re)86.87 6886.98 7186.55 7393.11 5268.48 13383.80 12892.87 5380.37 6089.61 9491.81 11977.72 10294.18 5475.00 12998.53 1796.99 32
Vis-MVSNetpermissive86.86 6986.58 7887.72 6192.09 7677.43 7287.35 7392.09 7278.87 8184.27 17194.05 7078.35 9793.65 7280.54 8391.58 18192.08 136
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
UniMVSNet_NR-MVSNet86.84 7087.06 6886.17 8692.86 5967.02 14182.55 16291.56 8383.08 3490.92 6491.82 11878.25 9893.99 6174.16 13198.35 2297.49 15
DU-MVS86.80 7186.99 7086.21 8393.24 4867.02 14183.16 14892.21 6981.73 5090.92 6491.97 11277.20 10793.99 6174.16 13198.35 2297.61 12
V1486.75 7287.46 6284.62 11088.35 14563.00 16987.02 8091.42 9577.78 9293.27 3295.23 3874.22 13693.56 8583.95 4395.93 9497.31 21
Regformer-286.74 7386.08 8788.73 4884.18 21179.20 5883.52 13689.33 14583.33 3089.92 8285.07 22883.23 5693.16 10783.39 4892.72 16993.83 95
IS-MVSNet86.66 7486.82 7786.17 8692.05 7866.87 14391.21 2988.64 15086.30 2189.60 9592.59 10069.22 18994.91 3873.89 13597.89 3996.72 33
v1586.56 7587.25 6684.51 11288.15 14962.72 17486.72 8991.40 9777.38 9593.11 3495.00 4373.93 14293.55 8683.67 4795.86 9897.26 22
v1086.54 7687.10 6784.84 10388.16 14863.28 16586.64 9192.20 7075.42 11692.81 3894.50 5674.05 14094.06 6083.88 4496.28 7997.17 27
Regformer-486.41 7785.71 9288.52 5084.27 20777.57 7084.07 11888.00 15882.82 3789.84 8385.48 22082.06 6892.77 11883.83 4691.04 18695.22 71
PHI-MVS86.38 7885.81 9088.08 5688.44 14477.34 7389.35 5193.05 4673.15 13784.76 16287.70 20178.87 9594.18 5480.67 8196.29 7892.73 123
v1786.32 7986.95 7284.44 11688.00 15162.62 17786.74 8791.48 8777.17 9892.74 3994.56 5273.74 14693.53 8783.27 5094.87 12697.18 26
test_prior386.31 8086.31 8286.32 7790.59 11371.99 11183.37 14292.85 5475.43 11484.58 16391.57 12381.92 7394.17 5679.54 9796.97 5992.80 121
CSCG86.26 8186.47 8085.60 9590.87 10874.26 9287.98 6491.85 7980.35 6189.54 9888.01 19679.09 9392.13 12975.51 12495.06 11990.41 165
v1686.24 8286.85 7584.43 11787.96 15362.59 17986.73 8891.48 8777.17 9892.67 4294.55 5373.63 14793.52 8883.26 5194.16 13997.17 27
DeepC-MVS_fast80.27 886.23 8385.65 9487.96 6091.30 9676.92 7787.19 7691.99 7570.56 16384.96 15790.69 15580.01 8995.14 3378.37 10495.78 10191.82 139
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
v886.22 8486.83 7684.36 11987.82 15562.35 18386.42 9391.33 10076.78 10292.73 4094.48 5773.41 15493.72 7083.10 5295.41 10797.01 31
CDPH-MVS86.17 8585.54 9588.05 5992.25 7375.45 8783.85 12592.01 7465.91 19486.19 14491.75 12183.77 5194.98 3677.43 11496.71 6793.73 101
Regformer-186.00 8685.50 9687.49 6484.18 21176.90 7883.52 13687.94 16082.18 4589.19 10085.07 22882.28 6691.89 13482.40 6292.72 16993.69 103
NR-MVSNet86.00 8686.22 8485.34 9793.24 4864.56 15282.21 17290.46 11680.99 5688.42 11391.97 11277.56 10493.85 6772.46 14798.65 1397.61 12
v1885.99 8886.55 7984.30 12087.73 16162.29 18786.40 9491.49 8676.64 10392.40 4694.20 6773.28 15893.52 8882.87 5693.99 14397.09 29
FC-MVSNet-test85.93 8987.05 6982.58 15492.25 7356.44 23185.75 9993.09 4477.33 9691.94 5194.65 5174.78 13193.41 9675.11 12798.58 1597.88 9
agg_prior385.76 9084.95 10488.16 5592.43 6879.92 5583.98 12190.03 13465.11 20083.66 17690.64 16081.00 8193.67 7181.21 7196.54 7190.88 153
agg_prior185.72 9185.20 9987.28 6891.58 9077.69 6883.69 13190.30 12466.29 19084.32 16891.07 14382.13 6793.18 10581.02 7496.36 7790.98 149
TAPA-MVS77.73 1285.71 9284.83 10588.37 5288.78 13579.72 5687.15 7893.50 3069.17 17285.80 14989.56 17780.76 8392.13 12973.21 14395.51 10593.25 113
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
canonicalmvs85.50 9386.14 8683.58 14087.97 15267.13 14087.55 7094.32 1173.44 13088.47 11287.54 20486.45 3591.06 15375.76 12393.76 15092.54 127
EPP-MVSNet85.47 9485.04 10186.77 7191.52 9369.37 12591.63 2487.98 15981.51 5387.05 13291.83 11766.18 20195.29 2870.75 15496.89 6195.64 56
FIs85.35 9586.27 8382.60 15391.86 8357.31 22485.10 10793.05 4675.83 11291.02 6393.97 7373.57 15192.91 11673.97 13498.02 3597.58 14
K. test v385.14 9684.73 10686.37 7691.13 10369.63 12485.45 10376.68 23084.06 2892.44 4596.99 662.03 21494.65 4380.58 8293.24 16294.83 76
EI-MVSNet-Vis-set85.12 9784.53 11886.88 6984.01 21372.76 10083.91 12485.18 18880.44 5988.75 10685.49 21980.08 8891.92 13282.02 6590.85 19195.97 46
Regformer-385.06 9884.67 11186.22 8184.27 20773.43 9684.07 11885.26 18680.77 5888.62 10985.48 22080.56 8590.39 17181.99 6691.04 18694.85 75
EI-MVSNet-UG-set85.04 9984.44 12086.85 7083.87 21572.52 10383.82 12685.15 18980.27 6388.75 10685.45 22279.95 9091.90 13381.92 6790.80 19296.13 40
X-MVStestdata85.04 9982.70 14192.08 595.64 1586.25 1092.64 1393.33 3485.07 2389.99 7616.05 29586.57 3395.80 1187.35 1197.62 4694.20 86
MSLP-MVS85.00 10186.03 8881.90 16091.84 8471.56 11586.75 8693.02 5075.95 11087.12 12889.39 17977.98 9989.40 18477.46 11394.78 12984.75 214
F-COLMAP84.97 10283.42 13589.63 4192.39 6983.40 3888.83 5691.92 7873.19 13680.18 20889.15 18277.04 11093.28 10265.82 18992.28 17592.21 135
v784.81 10385.00 10284.23 12188.15 14963.27 16683.79 12991.39 9871.10 16090.07 7391.28 13074.04 14193.63 7481.48 7093.67 15395.79 49
3Dnovator80.37 784.80 10484.71 10985.06 10086.36 18474.71 9088.77 5890.00 13575.65 11384.96 15793.17 8674.06 13991.19 14978.28 10791.09 18489.29 176
IterMVS-LS84.73 10584.98 10383.96 12887.35 16763.66 15883.25 14589.88 13776.06 10789.62 9292.37 10873.40 15692.52 12378.16 10894.77 13195.69 54
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MVS_111021_HR84.63 10684.34 12785.49 9690.18 11875.86 8679.23 20787.13 16773.35 13185.56 15389.34 18083.60 5290.50 16976.64 11994.05 14290.09 171
HQP-MVS84.61 10784.06 13086.27 7991.19 9970.66 11984.77 10892.68 5973.30 13280.55 20490.17 16872.10 17794.61 4477.30 11594.47 13693.56 108
v119284.57 10884.69 11084.21 12287.75 16062.88 17183.02 14991.43 9469.08 17389.98 7890.89 14972.70 17093.62 7782.41 6194.97 12196.13 40
FMVSNet184.55 10985.45 9781.85 16290.27 11761.05 20286.83 8388.27 15378.57 8489.66 8895.64 3075.43 12190.68 16469.09 16795.33 10993.82 97
v114484.54 11084.72 10884.00 12687.67 16362.55 18082.97 15090.93 10870.32 16689.80 8490.99 14573.50 15293.48 9281.69 6994.65 13495.97 46
Gipumacopyleft84.44 11186.33 8178.78 19384.20 21073.57 9589.55 4490.44 11784.24 2784.38 16694.89 4576.35 11880.40 24176.14 12196.80 6682.36 242
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
v1neww84.43 11284.66 11283.75 13387.81 15662.34 18483.59 13290.27 12872.33 14689.93 8091.22 13273.28 15893.29 9980.25 8893.25 16095.62 57
v7new84.43 11284.66 11283.75 13387.81 15662.34 18483.59 13290.27 12872.33 14689.93 8091.22 13273.28 15893.29 9980.25 8893.25 16095.62 57
v684.43 11284.66 11283.75 13387.81 15662.34 18483.59 13290.26 13072.33 14689.94 7991.19 13673.30 15793.29 9980.26 8793.26 15995.62 57
testing_284.36 11584.64 11583.50 14586.74 17863.97 15684.56 11390.31 12266.22 19191.62 5594.55 5375.88 11991.95 13177.02 11894.89 12394.56 77
MCST-MVS84.36 11583.93 13285.63 9491.59 8771.58 11483.52 13692.13 7161.82 21983.96 17289.75 17479.93 9193.46 9378.33 10694.34 13891.87 138
VDDNet84.35 11785.39 9881.25 17195.13 2259.32 21385.42 10481.11 21186.41 2087.41 12596.21 1973.61 15090.61 16766.33 18396.85 6293.81 100
v124084.30 11884.51 11983.65 13887.65 16461.26 19882.85 15391.54 8467.94 18190.68 6990.65 15871.71 18293.64 7382.84 5894.78 12996.07 42
MVS_111021_LR84.28 11983.76 13385.83 9289.23 12883.07 4180.99 19283.56 19872.71 14186.07 14589.07 18381.75 7686.19 21177.11 11793.36 15588.24 184
v14419284.24 12084.41 12183.71 13787.59 16661.57 19582.95 15191.03 10767.82 18389.80 8490.49 16173.28 15893.51 9181.88 6894.89 12396.04 44
v192192084.23 12184.37 12683.79 13187.64 16561.71 19082.91 15291.20 10467.94 18190.06 7490.34 16472.04 18093.59 7882.32 6394.91 12296.07 42
VDD-MVS84.23 12184.58 11783.20 14891.17 10265.16 15083.25 14584.97 19479.79 6687.18 12794.27 6374.77 13290.89 15869.24 16596.54 7193.55 110
v114184.16 12384.38 12383.52 14287.32 16961.70 19282.79 15589.74 13871.90 15389.64 8991.12 13972.68 17193.10 10980.39 8693.80 14895.75 51
divwei89l23v2f11284.16 12384.38 12383.52 14287.32 16961.70 19282.79 15589.74 13871.90 15389.64 8991.12 13972.68 17193.10 10980.40 8493.81 14795.75 51
v184.16 12384.38 12383.52 14287.33 16861.71 19082.79 15589.73 14071.89 15589.64 8991.11 14172.72 16893.10 10980.40 8493.79 14995.75 51
v2v48284.09 12684.24 12883.62 13987.13 17361.40 19682.71 15989.71 14172.19 14989.55 9691.41 12970.70 18693.20 10481.02 7493.76 15096.25 38
EG-PatchMatch MVS84.08 12784.11 12983.98 12792.22 7572.61 10282.20 17487.02 17072.63 14288.86 10391.02 14478.52 9691.11 15173.41 14191.09 18488.21 185
DP-MVS Recon84.05 12883.22 13786.52 7491.73 8575.27 8883.23 14792.40 6672.04 15082.04 18988.33 19277.91 10193.95 6566.17 18495.12 11790.34 167
TransMVSNet (Re)84.02 12985.74 9178.85 19291.00 10555.20 23982.29 16887.26 16579.65 6988.38 11595.52 3483.00 5786.88 20467.97 17596.60 7094.45 83
Baseline_NR-MVSNet84.00 13085.90 8978.29 19991.47 9553.44 24782.29 16887.00 17179.06 7889.55 9695.72 2777.20 10786.14 21272.30 14898.51 1895.28 67
TSAR-MVS83.95 13182.69 14287.72 6189.27 12781.45 4883.72 13081.58 21074.73 11985.66 15086.06 21672.56 17492.69 12075.44 12595.21 11489.01 181
alignmvs83.94 13283.98 13183.80 13087.80 15967.88 13784.54 11491.42 9573.27 13588.41 11487.96 19772.33 17690.83 15976.02 12294.11 14092.69 124
AdaColmapbinary83.66 13383.69 13483.57 14190.05 12272.26 10786.29 9590.00 13578.19 8881.65 19387.16 20683.40 5494.24 5361.69 20794.76 13284.21 220
MIMVSNet183.63 13484.59 11680.74 17694.06 3362.77 17382.72 15884.53 19677.57 9490.34 7095.92 2376.88 11585.83 21661.88 20597.42 5093.62 105
WR-MVS83.56 13584.40 12281.06 17493.43 4454.88 24078.67 21185.02 19281.24 5490.74 6891.56 12572.85 16691.08 15268.00 17498.04 3297.23 24
CNLPA83.55 13683.10 14084.90 10289.34 12683.87 3684.54 11488.77 14779.09 7783.54 17888.66 18874.87 12881.73 23766.84 18192.29 17489.11 177
LCM-MVSNet-Re83.48 13785.06 10078.75 19485.94 18955.75 23580.05 19794.27 1276.47 10496.09 594.54 5583.31 5589.75 18059.95 21994.89 12390.75 156
V4283.47 13883.37 13683.75 13383.16 22063.33 16481.31 18790.23 13169.51 17090.91 6690.81 15274.16 13892.29 12780.06 9090.22 20095.62 57
VPA-MVSNet83.47 13884.73 10679.69 18490.29 11657.52 22381.30 18988.69 14976.29 10587.58 12294.44 5880.60 8487.20 20166.60 18296.82 6594.34 85
PAPM_NR83.23 14083.19 13983.33 14690.90 10765.98 14788.19 6390.78 10978.13 8980.87 20087.92 19973.49 15392.42 12470.07 15988.40 21291.60 144
CLD-MVS83.18 14182.64 14384.79 10589.05 13067.82 13877.93 21592.52 6468.33 17785.07 15681.54 25482.06 6892.96 11369.35 16497.91 3893.57 107
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ANet_high83.17 14285.68 9375.65 22081.24 23045.26 27879.94 19992.91 5283.83 2991.33 6096.88 880.25 8785.92 21468.89 16995.89 9695.76 50
114514_t83.10 14382.54 14684.77 10692.90 5669.10 13186.65 9090.62 11354.66 24781.46 19590.81 15276.98 11194.38 4972.62 14696.18 8390.82 155
UGNet82.78 14481.64 15586.21 8386.20 18776.24 8586.86 8185.68 18277.07 10073.76 23992.82 9569.64 18791.82 13769.04 16893.69 15290.56 162
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
LF4IMVS82.75 14581.93 15385.19 9882.08 22580.15 5485.53 10288.76 14868.01 17985.58 15287.75 20071.80 18186.85 20574.02 13393.87 14688.58 183
EI-MVSNet82.61 14682.42 14883.20 14883.25 21863.66 15883.50 13985.07 19076.06 10786.55 13885.10 22673.41 15490.25 17278.15 10990.67 19595.68 55
QAPM82.59 14782.59 14582.58 15486.44 17966.69 14489.94 3690.36 12067.97 18084.94 15992.58 10272.71 16992.18 12870.63 15787.73 21888.85 182
MVS_Test82.47 14883.22 13780.22 18082.62 22457.75 22282.54 16391.96 7771.16 15982.89 18292.52 10477.41 10690.50 16980.04 9187.84 21792.40 130
v14882.31 14982.48 14781.81 16585.59 19059.66 21181.47 18586.02 17972.85 13988.05 11790.65 15870.73 18590.91 15775.15 12691.79 17994.87 73
API-MVS82.28 15082.61 14481.30 16986.29 18569.79 12288.71 5987.67 16278.42 8582.15 18884.15 23777.98 9991.59 14165.39 19092.75 16882.51 241
MVSFormer82.23 15181.57 15784.19 12485.54 19169.26 12791.98 2190.08 13271.54 15676.23 22385.07 22858.69 22894.27 5086.26 1988.77 20889.03 179
PCF-MVS74.62 1582.15 15280.92 16485.84 9189.43 12472.30 10680.53 19491.82 8057.36 23687.81 12089.92 17177.67 10393.63 7458.69 22495.08 11891.58 145
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PLCcopyleft73.85 1682.09 15380.31 16887.45 6590.86 10980.29 5385.88 9790.65 11168.17 17876.32 22286.33 21373.12 16392.61 12261.40 21190.02 20289.44 174
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
GBi-Net82.02 15482.07 15081.85 16286.38 18161.05 20286.83 8388.27 15372.43 14386.00 14695.64 3063.78 21090.68 16465.95 18593.34 15693.82 97
test182.02 15482.07 15081.85 16286.38 18161.05 20286.83 8388.27 15372.43 14386.00 14695.64 3063.78 21090.68 16465.95 18593.34 15693.82 97
OpenMVScopyleft76.72 1381.98 15682.00 15281.93 15984.42 20568.22 13588.50 6289.48 14366.92 18681.80 19291.86 11472.59 17390.16 17671.19 15191.25 18287.40 195
PVSNet_Blended_VisFu81.55 15780.49 16784.70 10991.58 9073.24 9884.21 11791.67 8162.86 21280.94 19887.16 20667.27 19692.87 11769.82 16188.94 20787.99 189
DELS-MVS81.44 15881.25 15982.03 15884.27 20762.87 17276.47 22992.49 6570.97 16181.64 19483.83 23875.03 12592.70 11974.29 13092.22 17790.51 163
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
Test481.31 15981.13 16181.88 16184.89 19763.05 16882.37 16590.50 11562.75 21389.00 10288.29 19367.55 19591.68 13973.55 13991.24 18390.89 152
FMVSNet281.31 15981.61 15680.41 17886.38 18158.75 21883.93 12386.58 17472.43 14387.65 12192.98 9063.78 21090.22 17466.86 17993.92 14592.27 133
DI_MVS_test_dynamic81.27 16181.26 15881.29 17084.98 19661.65 19481.98 17787.25 16663.56 20687.56 12389.60 17673.62 14891.83 13672.20 14990.59 19990.38 166
TinyColmap81.25 16282.34 14977.99 20385.33 19460.68 20682.32 16788.33 15271.26 15886.97 13392.22 11177.10 10986.98 20362.37 20395.17 11686.31 202
DI_MVS_test_normal81.23 16381.16 16081.43 16884.77 19961.99 18981.46 18686.95 17263.16 21187.22 12689.63 17573.62 14891.65 14072.92 14490.70 19490.65 160
BH-untuned80.96 16480.99 16280.84 17588.55 14068.23 13480.33 19588.46 15172.79 14086.55 13886.76 21074.72 13391.77 13861.79 20688.99 20682.52 240
liao80.86 16579.81 17284.02 12593.93 3678.70 6381.64 18280.18 21555.43 24483.67 17591.15 13771.29 18391.41 14767.95 17693.06 16481.96 248
BH-RMVSNet80.53 16680.22 17081.49 16787.19 17266.21 14677.79 21786.23 17674.21 12283.69 17488.50 19073.25 16290.75 16163.18 20287.90 21687.52 193
EPNet80.37 16778.41 17986.23 8076.75 26273.28 9787.18 7777.45 22376.24 10668.14 26388.93 18565.41 20493.85 6769.47 16396.12 8891.55 146
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MG-MVS80.32 16880.94 16378.47 19888.18 14652.62 25382.29 16885.01 19372.01 15179.24 21192.54 10369.36 18893.36 9870.65 15689.19 20589.45 173
VPNet80.25 16981.68 15475.94 21892.46 6747.98 27376.70 22581.67 20973.45 12984.87 16092.82 9574.66 13486.51 20861.66 20896.85 6293.33 111
MAR-MVS80.24 17078.74 17784.73 10886.87 17778.18 6585.75 9987.81 16165.67 19777.84 21478.50 26573.79 14590.53 16861.59 21090.87 19085.49 209
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
PM-MVS80.20 17179.00 17583.78 13288.17 14786.66 981.31 18766.81 27669.64 16988.33 11690.19 16764.58 20683.63 23071.99 15090.03 20181.06 263
LFMVS80.15 17280.56 16578.89 19189.19 12955.93 23385.22 10673.78 24182.96 3584.28 17092.72 9957.38 23490.07 17863.80 19795.75 10290.68 158
MSDG80.06 17379.99 17180.25 17983.91 21468.04 13677.51 22089.19 14677.65 9381.94 19083.45 24176.37 11786.31 21063.31 20186.59 22686.41 200
ab-mvs79.67 17480.56 16576.99 20988.48 14356.93 22684.70 11186.06 17868.95 17580.78 20193.08 8775.30 12284.62 22356.78 23190.90 18989.43 175
VNet79.31 17580.27 16976.44 21387.92 15453.95 24375.58 23584.35 19774.39 12182.23 18690.72 15472.84 16784.39 22560.38 21893.98 14490.97 150
diffmvs79.20 17679.04 17479.69 18478.64 25158.90 21581.79 17887.61 16365.07 20173.65 24189.80 17273.10 16487.79 19675.02 12886.63 22592.38 131
PAPR78.84 17778.10 18081.07 17385.17 19560.22 20982.21 17290.57 11462.51 21575.32 23284.61 23574.99 12692.30 12659.48 22288.04 21590.68 158
PVSNet_BlendedMVS78.80 17877.84 18181.65 16684.43 20363.41 16179.49 20390.44 11761.70 22175.43 23087.07 20869.11 19091.44 14560.68 21692.24 17690.11 170
FMVSNet378.80 17878.55 17879.57 18782.89 22256.89 22881.76 17985.77 18169.04 17486.00 14690.44 16351.75 24990.09 17765.95 18593.34 15691.72 141
mvs_anonymous78.13 18078.76 17676.23 21779.24 24550.31 26678.69 21084.82 19561.60 22283.09 18192.82 9573.89 14487.01 20268.33 17386.41 22791.37 147
TAMVS78.08 18176.36 18983.23 14790.62 11272.87 9979.08 20880.01 21761.72 22081.35 19786.92 20963.96 20988.78 18850.61 25193.01 16688.04 188
Vis-MVSNet (Re-imp)77.82 18277.79 18277.92 20488.82 13451.29 25883.28 14471.97 25374.04 12382.23 18689.78 17357.38 23489.41 18357.22 22995.41 10793.05 117
OpenMVS_ROBcopyleft70.19 1777.77 18377.46 18378.71 19584.39 20661.15 20081.18 19182.52 20162.45 21683.34 17987.37 20566.20 20088.66 19164.69 19385.02 23986.32 201
MDA-MVSNet-bldmvs77.47 18476.90 18679.16 19079.03 24764.59 15166.58 26875.67 23473.15 13788.86 10388.99 18466.94 19781.23 23864.71 19288.22 21491.64 143
jason77.42 18575.75 19582.43 15687.10 17469.27 12677.99 21481.94 20751.47 26477.84 21485.07 22860.32 21889.00 18570.74 15589.27 20489.03 179
jason: jason.
CDS-MVSNet77.32 18675.40 19783.06 15089.00 13272.48 10477.90 21682.17 20460.81 22478.94 21283.49 24059.30 22588.76 18954.64 24492.37 17387.93 191
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSTER77.09 18775.70 19681.25 17175.27 27361.08 20177.49 22185.07 19060.78 22586.55 13888.68 18743.14 27390.25 17273.69 13790.67 19592.42 128
Patchmatch-RL test77.08 18877.10 18577.01 20884.83 19866.54 14572.29 25169.16 26757.70 23486.76 13590.46 16272.42 17582.59 23469.63 16290.65 19781.90 250
PS-MVSNAJ77.04 18976.53 18878.56 19787.09 17561.40 19675.26 23687.13 16761.25 22374.38 23777.22 27076.94 11290.94 15564.63 19484.83 24283.35 231
IterMVS76.91 19076.34 19078.64 19680.91 23364.03 15476.30 23079.03 21864.88 20383.11 18089.16 18159.90 22184.46 22468.61 17185.15 23887.42 194
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
TR-MVS76.77 19175.79 19379.72 18386.10 18865.79 14977.14 22283.02 19965.20 19981.40 19682.10 25066.30 19990.73 16355.57 23885.27 23582.65 236
USDC76.63 19276.73 18776.34 21583.46 21657.20 22580.02 19888.04 15752.14 25983.65 17791.25 13163.24 21386.65 20754.66 24394.11 14085.17 210
BH-w/o76.57 19376.07 19278.10 20186.88 17665.92 14877.63 21886.33 17565.69 19680.89 19979.95 26168.97 19290.74 16253.01 24885.25 23677.62 268
Patchmtry76.56 19477.46 18373.83 22879.37 24446.60 27682.41 16476.90 22673.81 12685.56 15392.38 10548.07 25883.98 22863.36 20095.31 11290.92 151
PVSNet_Blended76.49 19575.40 19779.76 18284.43 20363.41 16175.14 23890.44 11757.36 23675.43 23078.30 26669.11 19091.44 14560.68 21687.70 21984.42 218
lupinMVS76.37 19674.46 20382.09 15785.54 19169.26 12776.79 22380.77 21350.68 27176.23 22382.82 24758.69 22888.94 18669.85 16088.77 20888.07 186
cascas76.29 19774.81 19980.72 17784.47 20262.94 17073.89 24587.34 16455.94 24275.16 23476.53 27363.97 20891.16 15065.00 19190.97 18888.06 187
RPMNet76.06 19875.79 19376.85 21179.58 24062.64 17582.58 16071.75 25774.80 11875.72 22892.59 10048.69 25684.07 22673.48 14082.91 25383.85 222
GA-MVS75.83 19974.61 20079.48 18981.87 22759.25 21473.42 24982.88 20068.68 17679.75 20981.80 25250.62 25189.46 18166.85 18085.64 23289.72 172
MV-PatchMatch75.81 20073.51 20782.71 15289.35 12573.62 9480.06 19685.20 18760.30 22773.96 23887.94 19857.89 23289.45 18252.02 25074.87 27685.06 212
wuyk23d75.13 20179.30 17362.63 26475.56 26975.18 8980.89 19373.10 24675.06 11794.76 1395.32 3787.73 2552.85 28934.16 28697.11 5659.85 287
EU-MVSNet75.12 20274.43 20477.18 20783.11 22159.48 21285.71 10182.43 20239.76 29085.64 15188.76 18644.71 26987.88 19573.86 13685.88 23084.16 221
CMPMVSbinary59.41 2075.12 20273.57 20679.77 18175.84 26767.22 13981.21 19082.18 20350.78 26976.50 21987.66 20255.20 24182.99 23262.17 20490.64 19889.09 178
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
1112_ss74.82 20473.74 20578.04 20289.57 12360.04 21076.49 22887.09 16954.31 24873.66 24079.80 26260.25 21986.76 20658.37 22584.15 24587.32 196
PatchMatch-RL74.48 20573.22 20878.27 20087.70 16285.26 2375.92 23170.09 26264.34 20576.09 22681.25 25665.87 20378.07 24653.86 24583.82 24771.48 279
XXY-MVS74.44 20676.19 19169.21 24684.61 20152.43 25471.70 25377.18 22460.73 22680.60 20290.96 14775.44 12069.35 26456.13 23488.33 21385.86 206
CR-MVSNet74.00 20773.04 21076.85 21179.58 24062.64 17582.58 16076.90 22650.50 27275.72 22892.38 10548.07 25884.07 22668.72 17082.91 25383.85 222
Test_1112_low_res73.90 20873.08 20976.35 21490.35 11555.95 23273.40 25086.17 17750.70 27073.14 24385.94 21758.31 23085.90 21556.51 23283.22 25087.20 197
test20.0373.75 20974.59 20271.22 24081.11 23151.12 26070.15 25772.10 25270.42 16480.28 20791.50 12764.21 20774.72 25646.96 26794.58 13587.82 192
liao173.22 21072.56 21375.20 22180.41 23957.84 22081.64 18285.36 18551.68 26273.10 24476.65 27261.45 21685.19 21963.54 19879.21 26982.59 237
HC-MVS73.21 21172.59 21275.06 22280.97 23260.81 20581.64 18285.92 18046.03 28371.68 24977.54 26768.47 19389.77 17955.70 23785.39 23374.60 274
HY-MVS64.64 1873.03 21272.47 21474.71 22483.36 21754.19 24182.14 17581.96 20556.76 24169.57 25986.21 21560.03 22084.83 22249.58 25682.65 25585.11 211
EPNet_dtu72.87 21371.33 22177.49 20677.72 25760.55 20782.35 16675.79 23266.49 18958.39 29181.06 25753.68 24585.98 21353.55 24692.97 16785.95 204
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CVMVSNet72.62 21471.41 22076.28 21683.25 21860.34 20883.50 13979.02 21937.77 29176.33 22185.10 22649.60 25487.41 19970.54 15877.54 27481.08 261
testgi72.36 21574.61 20065.59 25780.56 23742.82 28468.29 26073.35 24566.87 18781.84 19189.93 17072.08 17966.92 27146.05 26992.54 17187.01 199
FPMVS72.29 21672.00 21673.14 23188.63 13985.00 2574.65 24167.39 27071.94 15277.80 21687.66 20250.48 25275.83 25249.95 25379.51 26558.58 289
FMVSNet572.10 21771.69 21873.32 22981.57 22953.02 25076.77 22478.37 22063.31 20976.37 22091.85 11536.68 28478.98 24547.87 26392.45 17287.95 190
PAPM71.77 21870.06 22776.92 21086.39 18053.97 24276.62 22686.62 17353.44 25363.97 27984.73 23457.79 23392.34 12539.65 27781.33 26084.45 217
IB-MVS62.13 1971.64 21968.97 23279.66 18680.80 23662.26 18873.94 24476.90 22663.27 21068.63 26276.79 27133.83 28691.84 13559.28 22387.26 22184.88 213
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
UnsupCasMVSNet_eth71.63 22072.30 21569.62 24476.47 26352.70 25270.03 25880.97 21259.18 23079.36 21088.21 19460.50 21769.12 26558.33 22777.62 27387.04 198
no-one71.52 22170.43 22574.81 22378.45 25363.41 16157.73 28577.03 22551.46 26577.17 21890.33 16554.96 24380.35 24247.41 26499.29 280.68 265
HyFIR71.49 22271.95 21770.08 24184.74 20046.83 27563.41 27376.88 22947.99 27976.15 22588.34 19165.15 20579.77 24460.78 21584.14 24683.64 225
MIMVSNet71.09 22371.59 21969.57 24587.23 17150.07 26778.91 20971.83 25560.20 22871.26 25191.76 12055.08 24276.09 25041.06 27587.02 22482.54 239
MS-PatchMatch70.93 22470.22 22673.06 23281.85 22862.50 18173.82 24677.90 22152.44 25775.92 22781.27 25555.67 23981.75 23655.37 24077.70 27274.94 273
pm-mvs170.57 22569.48 23073.85 22780.42 23856.56 23073.77 24771.49 25948.39 27873.32 24288.60 18952.30 24880.42 24048.53 26088.51 21184.55 215
PatchT70.52 22672.76 21163.79 26379.38 24333.53 29277.63 21865.37 27873.61 12771.77 24892.79 9844.38 27075.65 25364.53 19585.37 23482.18 245
testmv70.47 22770.70 22269.77 24386.22 18653.89 24467.32 26571.91 25463.32 20878.16 21389.47 17856.12 23773.10 25736.43 28387.33 22082.33 243
N_pmnet70.20 22868.80 23474.38 22580.91 23384.81 2859.12 28276.45 23155.06 24575.31 23382.36 24955.74 23854.82 28847.02 26687.24 22283.52 227
tpmvs70.16 22969.56 22971.96 23874.71 27748.13 27179.63 20175.45 23565.02 20270.26 25681.88 25145.34 26685.68 21758.34 22675.39 27582.08 246
YYNet170.06 23070.44 22368.90 24773.76 27953.42 24858.99 28367.20 27258.42 23287.10 12985.39 22459.82 22267.32 26859.79 22083.50 24985.96 203
MDA-MVSNet_test_wron70.05 23170.44 22368.88 24873.84 27853.47 24658.93 28467.28 27158.43 23187.09 13085.40 22359.80 22367.25 26959.66 22183.54 24885.92 205
CostFormer69.98 23268.68 23573.87 22677.14 26050.72 26479.26 20674.51 23951.94 26170.97 25484.75 23345.16 26887.49 19855.16 24179.23 26883.40 230
PatchmatchNetpermissive69.71 23368.83 23372.33 23677.66 25853.60 24579.29 20569.99 26357.66 23572.53 24582.93 24646.45 26280.08 24360.91 21472.09 28183.31 232
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmp4_e2369.43 23467.33 24075.72 21978.53 25252.75 25182.13 17674.91 23649.23 27666.37 26884.17 23641.28 27788.67 19049.73 25579.63 26485.75 207
LP69.42 23568.30 23772.77 23371.48 28956.84 22973.66 24874.84 23763.52 20770.95 25583.35 24249.55 25577.15 24857.13 23070.21 28484.33 219
JIA-IIPM69.41 23666.64 24577.70 20573.19 28171.24 11675.67 23365.56 27770.42 16465.18 27492.97 9133.64 28783.06 23153.52 24769.61 28878.79 267
UnsupCasMVSNet_bld69.21 23769.68 22867.82 25379.42 24251.15 25967.82 26475.79 23254.15 24977.47 21785.36 22559.26 22670.64 26048.46 26179.35 26781.66 253
gg-mvs-nofinetune68.96 23869.11 23168.52 25276.12 26645.32 27783.59 13255.88 29186.68 1864.62 27897.01 530.36 29083.97 22944.78 27182.94 25276.26 271
tpm268.45 23966.83 24273.30 23078.93 24848.50 27079.76 20071.76 25647.50 28069.92 25883.60 23942.07 27688.40 19248.44 26279.51 26583.01 235
tpm67.95 24068.08 23967.55 25478.74 25043.53 28375.60 23467.10 27554.92 24672.23 24788.10 19542.87 27475.97 25152.21 24980.95 26383.15 233
PatchFormer-LS_test67.91 24166.49 24672.17 23775.29 27251.85 25675.68 23273.62 24357.23 23868.64 26068.13 28742.19 27582.76 23364.06 19673.51 27881.89 251
WTY-MVS67.91 24168.35 23666.58 25580.82 23548.12 27265.96 26972.60 24853.67 25271.20 25281.68 25358.97 22769.06 26648.57 25981.67 25882.55 238
test-LLR67.21 24366.74 24368.63 25076.45 26455.21 23767.89 26167.14 27362.43 21765.08 27572.39 28143.41 27169.37 26261.00 21284.89 24081.31 256
sss66.92 24467.26 24165.90 25677.23 25951.10 26164.79 27071.72 25852.12 26070.13 25780.18 25957.96 23165.36 27850.21 25281.01 26281.25 258
tpm cat166.76 24565.21 24971.42 23977.09 26150.62 26578.01 21373.68 24244.89 28568.64 26079.00 26445.51 26482.42 23549.91 25470.15 28581.23 260
DWT-MVSNet_test66.43 24664.37 25072.63 23474.86 27650.86 26376.52 22772.74 24754.06 25065.50 27268.30 28632.13 28884.84 22161.63 20973.59 27782.19 244
PVSNet58.17 2166.41 24765.63 24868.75 24981.96 22649.88 26862.19 27672.51 25051.03 26768.04 26475.34 27750.84 25074.77 25445.82 27082.96 25181.60 254
tpmrst66.28 24866.69 24465.05 26172.82 28539.33 28778.20 21270.69 26153.16 25567.88 26580.36 25848.18 25774.75 25558.13 22870.79 28381.08 261
ADS-MVSNet265.87 24963.64 25472.55 23573.16 28256.92 22767.10 26674.81 23849.74 27366.04 27082.97 24446.71 26077.26 24742.29 27269.96 28683.46 228
test123567865.57 25065.73 24765.06 26082.84 22350.90 26262.90 27469.26 26557.17 23972.36 24683.04 24346.02 26370.10 26132.79 28885.24 23774.19 275
test-mter65.00 25163.79 25268.63 25076.45 26455.21 23767.89 26167.14 27350.98 26865.08 27572.39 28128.27 29269.37 26261.00 21284.89 24081.31 256
test0.0.03 164.66 25264.36 25165.57 25875.03 27546.89 27464.69 27161.58 28562.43 21771.18 25377.54 26743.41 27168.47 26740.75 27682.65 25581.35 255
pmmvs362.47 25360.02 26669.80 24271.58 28864.00 15570.52 25658.44 28839.77 28966.05 26975.84 27427.10 29472.28 25846.15 26884.77 24373.11 277
EPMVS62.47 25362.63 25762.01 26570.63 29038.74 28874.76 23952.86 29253.91 25167.71 26680.01 26039.40 28166.60 27355.54 23968.81 29080.68 265
testus62.33 25563.03 25560.20 27178.78 24940.74 28559.14 28069.80 26449.26 27571.41 25074.72 27952.33 24763.52 28129.84 29082.01 25776.36 270
ADS-MVSNet61.90 25662.19 25861.03 27073.16 28236.42 29067.10 26661.75 28349.74 27366.04 27082.97 24446.71 26063.21 28342.29 27269.96 28683.46 228
111161.71 25763.77 25355.55 27678.05 25425.74 29660.62 27767.52 26866.09 19274.68 23586.50 21116.00 29759.22 28638.79 27885.65 23181.70 252
PMMVS61.65 25860.38 26365.47 25965.40 29569.26 12763.97 27261.73 28436.80 29260.11 28568.43 28459.42 22466.35 27448.97 25878.57 27060.81 286
E-PMN61.59 25961.62 25961.49 26866.81 29255.40 23653.77 28960.34 28666.80 18858.90 29065.50 29040.48 28066.12 27555.72 23686.25 22862.95 285
TESTMET0.1,161.29 26060.32 26464.19 26272.06 28651.30 25767.89 26162.09 28145.27 28460.65 28469.01 28327.93 29364.74 28056.31 23381.65 25976.53 269
MVS-HIRNet61.16 26162.92 25655.87 27479.09 24635.34 29171.83 25257.98 29046.56 28159.05 28991.14 13849.95 25376.43 24938.74 28071.92 28255.84 290
EMVS61.10 26260.81 26261.99 26665.96 29455.86 23453.10 29058.97 28767.06 18456.89 29363.33 29140.98 27867.03 27054.79 24286.18 22963.08 284
DSMNet-mixed60.98 26361.61 26059.09 27372.88 28445.05 28074.70 24046.61 29726.20 29465.34 27390.32 16655.46 24063.12 28441.72 27481.30 26169.09 282
dp60.70 26460.29 26561.92 26772.04 28738.67 28970.83 25464.08 27951.28 26660.75 28377.28 26936.59 28571.58 25947.41 26462.34 29375.52 272
testpf58.55 26561.58 26149.48 28066.03 29340.05 28674.40 24258.07 28964.72 20459.36 28772.67 28022.76 29566.92 27167.07 17869.15 28941.46 292
test235656.69 26655.15 27061.32 26973.20 28044.11 28154.95 28762.52 28048.75 27762.45 28168.42 28521.10 29665.67 27726.86 29278.08 27174.19 275
PVSNet_051.08 2256.10 26754.97 27159.48 27275.12 27453.28 24955.16 28661.89 28244.30 28659.16 28862.48 29254.22 24465.91 27635.40 28547.01 29459.25 288
new_pmnet55.69 26857.66 26849.76 27975.47 27130.59 29359.56 27951.45 29443.62 28762.49 28075.48 27540.96 27949.15 29137.39 28172.52 27969.55 281
PMMVS255.64 26959.27 26744.74 28264.30 29612.32 30040.60 29249.79 29553.19 25465.06 27784.81 23253.60 24649.76 29032.68 28989.41 20372.15 278
test1235654.91 27057.14 26948.22 28175.83 26817.47 29952.31 29169.20 26651.66 26360.11 28575.40 27629.77 29162.62 28527.64 29172.37 28064.59 283
PNet_i23d52.13 27151.24 27454.79 27775.56 26945.26 27854.54 28852.55 29366.95 18557.19 29265.82 28913.15 29963.40 28236.39 28439.04 29655.71 291
MVEpermissive40.22 2351.82 27250.47 27555.87 27462.66 29851.91 25531.61 29439.28 29840.65 28850.76 29574.98 27856.24 23644.67 29233.94 28764.11 29271.04 280
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
HyFIR lowres test51.64 27351.77 27351.24 27864.21 29749.39 26968.80 25946.62 29628.12 29352.64 29465.93 28838.34 28364.88 27937.16 28264.13 29139.44 293
.test124548.02 27454.41 27228.84 28478.05 25425.74 29660.62 27767.52 26866.09 19274.68 23586.50 21116.00 29759.22 28638.79 2781.47 2981.55 297
pcd1.5k->3k38.83 27541.11 27632.01 28393.13 510.00 3040.00 29591.38 990.00 2990.00 3000.00 29889.24 140.00 2970.00 29796.24 8296.02 45
cdsmvs_eth3d_5k20.81 27627.75 2770.00 2890.00 3030.00 3040.00 29585.44 1840.00 2990.00 30082.82 24781.46 780.00 2970.00 2970.00 3010.00 299
DUST3R20.25 27724.50 2787.49 2864.47 3008.70 30134.17 29325.16 2991.00 29632.43 29718.49 29439.37 2829.21 29421.64 29343.75 2954.57 295
ab-mvs-re6.65 2788.87 2790.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 30079.80 2620.00 3020.00 2970.00 2970.00 3010.00 299
pcd_1.5k_mvsjas6.41 2798.55 2800.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 29876.94 1120.00 2970.00 2970.00 3010.00 299
test1236.27 2808.08 2810.84 2871.11 3020.57 30262.90 2740.82 3010.54 2971.07 2992.75 2971.26 3000.30 2951.04 2951.26 3001.66 296
testmvs5.91 2817.65 2820.72 2881.20 3010.37 30359.14 2800.67 3020.49 2981.11 2982.76 2960.94 3010.24 2961.02 2961.47 2981.55 297
sosnet-low-res0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
sosnet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
uncertanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
Regformer0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
uanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
test9_res80.83 7896.45 7690.57 161
TEST992.34 7179.70 5783.94 12290.32 12165.41 19884.49 16590.97 14682.03 7093.63 74
train_agg81.21 7196.54 7190.88 153
Patchmatch-test185.44 19361.17 19975.24 23773.42 24486.97 13391.56 12574.17 13787.04 223
Patchmatch-test67.85 29125.43 29886.31 214
test_892.09 7678.87 6183.82 12690.31 12265.79 19584.36 16790.96 14781.93 7293.44 94
agg_prior279.68 9596.16 8490.22 168
agg_prior91.58 9077.69 6890.30 12484.32 16893.18 105
TestCases89.68 3991.59 8783.40 3895.44 579.47 7088.00 11893.03 8882.66 6191.47 14370.81 15296.14 8694.16 89
test_prior478.97 6084.59 112
test_prior283.37 14275.43 11484.58 16391.57 12381.92 7379.54 9796.97 59
test_prior86.32 7790.59 11371.99 11192.85 5494.17 5692.80 121
旧先验281.73 18056.88 24086.54 14384.90 22072.81 145
新几何281.72 181
新几何182.95 15193.96 3578.56 6480.24 21455.45 24383.93 17391.08 14271.19 18488.33 19365.84 18893.07 16381.95 249
旧先验191.97 7971.77 11381.78 20891.84 11673.92 14393.65 15483.61 226
无先验82.81 15485.62 18358.09 23391.41 14767.95 17684.48 216
原ACMM282.26 171
原ACMM184.60 11192.81 6174.01 9391.50 8562.59 21482.73 18490.67 15776.53 11694.25 5269.24 16595.69 10485.55 208
test22293.31 4676.54 8079.38 20477.79 22252.59 25682.36 18590.84 15166.83 19891.69 18081.25 258
testdata286.43 20963.52 199
segment_acmp81.94 71
testdata79.54 18892.87 5772.34 10580.14 21659.91 22985.47 15591.75 12167.96 19485.24 21868.57 17292.18 17881.06 263
testdata179.62 20273.95 125
test1286.57 7290.74 11072.63 10190.69 11082.76 18379.20 9294.80 4095.32 11092.27 133
plane_prior793.45 4277.31 74
plane_prior692.61 6276.54 8074.84 129
plane_prior593.61 2795.22 3080.78 7995.83 9994.46 81
plane_prior492.95 92
plane_prior376.85 7977.79 9186.55 138
plane_prior289.45 4979.44 72
plane_prior192.83 60
plane_prior76.42 8287.15 7875.94 11195.03 120
abl_693.71 102
n20.00 303
nn0.00 303
door-mid74.45 240
lessismore_v085.95 8891.10 10470.99 11870.91 26091.79 5294.42 5961.76 21592.93 11579.52 9993.03 16593.93 94
LGP-MVS_train90.82 2794.75 2881.69 4494.27 1282.35 4193.67 2794.82 4691.18 495.52 2285.36 2698.73 895.23 69
test1191.46 91
door72.57 249
HQP5-MVS70.66 119
HQP-NCC91.19 9984.77 10873.30 13280.55 204
ACMP_Plane91.19 9984.77 10873.30 13280.55 204
BP-MVS77.30 115
HQP4-MVS80.56 20394.61 4493.56 108
HQP3-MVS92.68 5994.47 136
HQP2-MVS72.10 177
NP-MVS91.95 8074.55 9190.17 168
MDTV_nov1_ep13_2view27.60 29570.76 255