This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort by
test_part197.45 691.93 199.02 398.67 4
ESAPD95.32 395.38 395.17 798.55 587.22 1195.99 3897.45 688.25 6696.40 397.60 591.93 199.62 193.18 1999.02 398.67 4
HSP-MVS95.30 495.48 294.76 2598.49 1086.52 2996.91 1596.73 5591.73 996.10 696.69 3989.90 399.30 3094.70 398.04 5098.45 19
DeepPCF-MVS89.96 194.20 2694.77 1092.49 9296.52 6980.00 17894.00 17597.08 3090.05 2695.65 897.29 1389.66 498.97 6293.95 998.71 2098.50 12
SD-MVS94.96 895.33 593.88 5097.25 5386.69 2296.19 3097.11 2990.42 2496.95 297.27 1489.53 596.91 22394.38 698.85 998.03 50
CNVR-MVS95.40 295.37 495.50 498.11 2688.51 395.29 6896.96 3892.09 395.32 1097.08 2689.49 699.33 2795.10 298.85 998.66 7
APDe-MVS95.46 195.64 194.91 1398.26 2086.29 3997.46 297.40 989.03 4796.20 598.10 189.39 799.34 2495.88 199.03 299.10 1
MCST-MVS94.45 1494.20 2195.19 698.46 1287.50 995.00 9197.12 2787.13 9192.51 5196.30 5589.24 899.34 2493.46 1398.62 3398.73 3
TSAR-MVS + MP.94.85 994.94 894.58 3298.25 2186.33 3596.11 3496.62 6688.14 7096.10 696.96 2989.09 998.94 6694.48 598.68 2598.48 14
SteuartSystems-ACMMP95.20 595.32 694.85 1796.99 5686.33 3597.33 397.30 1791.38 1295.39 997.46 1088.98 1099.40 2294.12 898.89 898.82 2
Skip Steuart: Steuart Systems R&D Blog.
SMA-MVS95.19 695.06 795.57 298.12 2588.48 496.26 2897.28 1985.90 11797.67 198.07 288.41 1199.56 394.66 499.19 198.67 4
HPM-MVS++copyleft95.14 794.91 995.83 198.25 2189.65 195.92 4496.96 3891.75 894.02 2096.83 3388.12 1299.55 893.41 1698.94 698.28 29
agg_prior193.29 4492.97 4694.26 4397.38 4485.92 4593.92 17896.72 5781.96 21392.16 5796.23 5887.85 1398.97 6291.95 4298.55 3897.90 60
CSCG93.23 4993.05 4393.76 5698.04 3084.07 7896.22 2997.37 1084.15 15690.05 8795.66 8087.77 1499.15 3989.91 6798.27 4398.07 46
NCCC94.81 1094.69 1195.17 797.83 3387.46 1095.66 5596.93 4192.34 293.94 2196.58 4687.74 1599.44 2192.83 2398.40 4098.62 8
TEST997.53 3786.49 3094.07 16796.78 5181.61 23192.77 4196.20 6087.71 1699.12 42
train_agg93.44 4093.08 4294.52 3497.53 3786.49 3094.07 16796.78 5181.86 22692.77 4196.20 6087.63 1799.12 4292.14 3698.69 2297.94 55
test_897.49 4086.30 3894.02 17396.76 5481.86 22692.70 4596.20 6087.63 1799.02 54
TSAR-MVS + GP.93.66 3693.41 3794.41 3996.59 6586.78 1994.40 13493.93 22389.77 3294.21 1695.59 8287.35 1998.61 8792.72 2496.15 8197.83 63
APD-MVScopyleft94.24 2394.07 2594.75 2698.06 2986.90 1695.88 4596.94 4085.68 12395.05 1297.18 2287.31 2099.07 4591.90 4698.61 3498.28 29
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
Regformer-294.33 2094.22 1894.68 2895.54 10686.75 2194.57 12396.70 5991.84 694.41 1396.56 4887.19 2199.13 4193.50 1297.65 5898.16 39
segment_acmp87.16 22
Regformer-194.22 2494.13 2394.51 3595.54 10686.36 3494.57 12396.44 7391.69 1094.32 1596.56 4887.05 2399.03 5193.35 1797.65 5898.15 40
agg_prior393.27 4592.89 4894.40 4097.49 4086.12 4294.07 16796.73 5581.46 23492.46 5396.05 6886.90 2499.15 3992.14 3698.69 2297.94 55
旧先验196.79 6081.81 13195.67 12896.81 3486.69 2597.66 5796.97 94
test_prior393.60 3793.53 3693.82 5297.29 4984.49 6594.12 15896.88 4487.67 8192.63 4696.39 5386.62 2698.87 6891.50 5098.67 2798.11 44
test_prior294.12 15887.67 8192.63 4696.39 5386.62 2691.50 5098.67 27
CDPH-MVS92.83 5392.30 5594.44 3697.79 3486.11 4394.06 17096.66 6380.09 24592.77 4196.63 4386.62 2699.04 5087.40 9398.66 2998.17 38
DELS-MVS93.43 4193.25 3993.97 4795.42 11185.04 5693.06 22297.13 2690.74 2091.84 6395.09 9586.32 2999.21 3391.22 5498.45 3997.65 67
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
HFP-MVS94.52 1294.40 1394.86 1598.61 386.81 1796.94 1097.34 1188.63 5693.65 2497.21 1986.10 3099.49 1792.35 3098.77 1598.30 27
#test#94.32 2194.14 2294.86 1598.61 386.81 1796.43 2397.34 1187.51 8493.65 2497.21 1986.10 3099.49 1791.68 4898.77 1598.30 27
MVS_111021_HR93.45 3993.31 3893.84 5196.99 5684.84 5793.24 21597.24 2088.76 5391.60 6995.85 7486.07 3298.66 8291.91 4398.16 4698.03 50
Regformer-493.91 3193.81 2994.19 4595.36 11285.47 5294.68 11596.41 7691.60 1193.75 2396.71 3785.95 3399.10 4493.21 1896.65 7398.01 52
ACMMP_Plus94.74 1194.56 1295.28 598.02 3187.70 595.68 5397.34 1188.28 6595.30 1197.67 485.90 3499.54 1193.91 1098.95 598.60 9
Regformer-393.68 3593.64 3593.81 5495.36 11284.61 6194.68 11595.83 11891.27 1393.60 2796.71 3785.75 3598.86 7192.87 2296.65 7397.96 54
PHI-MVS93.89 3293.65 3494.62 3196.84 5986.43 3296.69 2197.49 485.15 13593.56 3096.28 5685.60 3699.31 2992.45 2698.79 1298.12 43
MP-MVS-pluss94.21 2594.00 2794.85 1798.17 2486.65 2594.82 10397.17 2586.26 11292.83 3997.87 385.57 3799.56 394.37 798.92 798.34 24
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MP-MVScopyleft94.25 2294.07 2594.77 2498.47 1186.31 3796.71 2096.98 3489.04 4691.98 6197.19 2185.43 3899.56 392.06 3898.79 1298.44 20
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
DeepC-MVS_fast89.43 294.04 2793.79 3094.80 2397.48 4286.78 1995.65 5896.89 4389.40 3892.81 4096.97 2885.37 3999.24 3290.87 6098.69 2298.38 23
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
region2R94.43 1694.27 1794.92 1298.65 186.67 2496.92 1497.23 2288.60 5893.58 2897.27 1485.22 4099.54 1192.21 3298.74 1998.56 11
CP-MVS94.34 1994.21 2094.74 2798.39 1686.64 2697.60 197.24 2088.53 6092.73 4497.23 1785.20 4199.32 2892.15 3598.83 1198.25 35
test1294.34 4197.13 5486.15 4196.29 8291.04 7785.08 4299.01 5698.13 4797.86 61
ACMMPR94.43 1694.28 1694.91 1398.63 286.69 2296.94 1097.32 1688.63 5693.53 3197.26 1685.04 4399.54 1192.35 3098.78 1498.50 12
XVS94.45 1494.32 1494.85 1798.54 786.60 2796.93 1297.19 2390.66 2292.85 3797.16 2485.02 4499.49 1791.99 3998.56 3698.47 15
X-MVStestdata88.31 13986.13 18794.85 1798.54 786.60 2796.93 1297.19 2390.66 2292.85 3723.41 35985.02 4499.49 1791.99 3998.56 3698.47 15
MSLP-MVS++93.72 3494.08 2492.65 8597.31 4783.43 9395.79 4897.33 1490.03 2793.58 2896.96 2984.87 4697.76 14492.19 3498.66 2996.76 99
HPM-MVScopyleft94.02 2893.88 2894.43 3898.39 1685.78 5097.25 597.07 3186.90 10292.62 4896.80 3684.85 4799.17 3692.43 2798.65 3198.33 25
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
PGM-MVS93.96 3093.72 3394.68 2898.43 1386.22 4095.30 6697.78 187.45 8593.26 3297.33 1284.62 4899.51 1590.75 6298.57 3598.32 26
EI-MVSNet-Vis-set93.01 5292.92 4793.29 6095.01 12883.51 9294.48 12695.77 12290.87 1692.52 5096.67 4184.50 4999.00 5991.99 3994.44 10897.36 76
zzz-MVS94.47 1394.30 1595.00 1098.42 1486.95 1395.06 8796.97 3591.07 1493.14 3597.56 784.30 5099.56 393.43 1498.75 1798.47 15
MTAPA94.42 1894.22 1895.00 1098.42 1486.95 1394.36 14496.97 3591.07 1493.14 3597.56 784.30 5099.56 393.43 1498.75 1798.47 15
EI-MVSNet-UG-set92.74 5592.62 5193.12 6694.86 13683.20 9894.40 13495.74 12590.71 2192.05 6096.60 4584.00 5298.99 6091.55 4993.63 11997.17 85
mPP-MVS93.99 2993.78 3194.63 3098.50 985.90 4896.87 1696.91 4288.70 5491.83 6597.17 2383.96 5399.55 891.44 5398.64 3298.43 21
APD-MVS_3200maxsize93.78 3393.77 3293.80 5597.92 3284.19 7696.30 2696.87 4686.96 9893.92 2297.47 983.88 5498.96 6592.71 2597.87 5398.26 34
EPP-MVSNet91.70 6691.56 6092.13 10895.88 9580.50 16897.33 395.25 16586.15 11489.76 8995.60 8183.42 5598.32 10387.37 9593.25 12997.56 72
UA-Net92.83 5392.54 5393.68 5796.10 8784.71 6095.66 5596.39 7891.92 493.22 3396.49 5083.16 5698.87 6884.47 12595.47 8997.45 75
UniMVSNet_NR-MVSNet89.92 10089.29 9991.81 12393.39 18783.72 8594.43 13297.12 2789.80 3186.46 14193.32 14883.16 5697.23 19984.92 11881.02 28194.49 188
112190.42 8989.49 9393.20 6397.27 5184.46 6892.63 23495.51 14371.01 32691.20 7596.21 5982.92 5899.05 4780.56 18398.07 4996.10 117
新几何193.10 6797.30 4884.35 7495.56 13671.09 32591.26 7496.24 5782.87 5998.86 7179.19 21198.10 4896.07 119
原ACMM192.01 10997.34 4681.05 15196.81 4978.89 25590.45 8295.92 7182.65 6098.84 7680.68 18198.26 4496.14 113
DeepC-MVS88.79 393.31 4392.99 4594.26 4396.07 8985.83 4994.89 9796.99 3389.02 4889.56 9097.37 1182.51 6199.38 2392.20 3398.30 4297.57 71
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
HPM-MVS_fast93.40 4293.22 4093.94 4998.36 1884.83 5897.15 796.80 5085.77 12092.47 5297.13 2582.38 6299.07 4590.51 6498.40 4097.92 59
canonicalmvs93.27 4592.75 5094.85 1795.70 10287.66 696.33 2596.41 7690.00 2894.09 1894.60 11082.33 6398.62 8692.40 2992.86 13698.27 32
DP-MVS Recon91.95 6091.28 6393.96 4898.33 1985.92 4594.66 11896.66 6382.69 20290.03 8895.82 7582.30 6499.03 5184.57 12496.48 7896.91 96
PAPR90.02 9589.27 10192.29 10295.78 9880.95 15592.68 23396.22 8781.91 21686.66 13993.75 14282.23 6598.44 9679.40 21094.79 9797.48 74
MVS_Test91.31 7191.11 6691.93 11594.37 15580.14 17293.46 20495.80 12086.46 10891.35 7393.77 14082.21 6698.09 12787.57 9194.95 9697.55 73
nrg03091.08 7690.39 7693.17 6593.07 19586.91 1596.41 2496.26 8388.30 6488.37 10594.85 10282.19 6797.64 15191.09 5582.95 25194.96 155
UniMVSNet (Re)89.80 10289.07 10492.01 10993.60 18384.52 6494.78 10697.47 589.26 4186.44 14492.32 18582.10 6897.39 18584.81 12180.84 28594.12 200
testdata90.49 16796.40 7177.89 24995.37 15872.51 31593.63 2696.69 3982.08 6997.65 14983.08 14197.39 6195.94 123
casdiffmvs91.72 6591.26 6493.10 6794.66 14483.75 8494.77 10796.00 10483.98 15890.74 7993.96 13082.08 6998.19 10991.47 5293.68 11797.36 76
PAPM_NR91.22 7390.78 7492.52 9197.60 3681.46 13994.37 14096.24 8686.39 11087.41 12694.80 10482.06 7198.48 9382.80 14895.37 9197.61 69
MG-MVS91.77 6291.70 5992.00 11197.08 5580.03 17793.60 19995.18 17287.85 7690.89 7896.47 5182.06 7198.36 9885.07 11697.04 6697.62 68
CANet93.54 3893.20 4194.55 3395.65 10385.73 5194.94 9496.69 6191.89 590.69 8095.88 7381.99 7399.54 1193.14 2197.95 5298.39 22
FC-MVSNet-test90.27 9190.18 8290.53 15993.71 18079.85 18295.77 4997.59 289.31 4086.27 14794.67 10781.93 7497.01 21484.26 13088.09 20794.71 170
FIs90.51 8790.35 7790.99 14993.99 17080.98 15395.73 5097.54 389.15 4486.72 13894.68 10681.83 7597.24 19785.18 11588.31 20494.76 169
ACMMPcopyleft93.24 4892.88 4994.30 4298.09 2885.33 5496.86 1797.45 688.33 6390.15 8697.03 2781.44 7699.51 1590.85 6195.74 8498.04 49
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
Effi-MVS+91.59 6891.11 6693.01 7394.35 15883.39 9594.60 12095.10 17587.10 9290.57 8193.10 15981.43 7798.07 12989.29 7194.48 10597.59 70
MVS_111021_LR92.47 5692.29 5692.98 7495.99 9284.43 7293.08 22096.09 9688.20 6991.12 7695.72 7981.33 7897.76 14491.74 4797.37 6296.75 100
mvs_anonymous89.37 11789.32 9889.51 22093.47 18574.22 28591.65 26194.83 19182.91 19685.45 17493.79 13981.23 7996.36 25486.47 10994.09 11197.94 55
PVSNet_BlendedMVS89.98 9689.70 9090.82 15396.12 8281.25 14493.92 17896.83 4783.49 17389.10 9692.26 19081.04 8098.85 7486.72 10687.86 20992.35 281
PVSNet_Blended90.73 8090.32 7991.98 11296.12 8281.25 14492.55 23896.83 4782.04 21289.10 9692.56 17881.04 8098.85 7486.72 10695.91 8295.84 128
alignmvs93.08 5192.50 5494.81 2295.62 10587.61 795.99 3896.07 9889.77 3294.12 1794.87 9980.56 8298.66 8292.42 2893.10 13298.15 40
diffmvs90.50 8890.33 7891.02 14693.04 19778.59 22392.85 22995.07 17887.32 8788.32 10693.34 14580.46 8397.40 18188.50 7894.06 11297.07 90
abl_693.18 5093.05 4393.57 5997.52 3984.27 7595.53 6196.67 6287.85 7693.20 3497.22 1880.35 8499.18 3591.91 4397.21 6397.26 79
API-MVS90.66 8290.07 8492.45 9496.36 7384.57 6396.06 3695.22 17182.39 20489.13 9594.27 12080.32 8598.46 9480.16 19296.71 7194.33 193
PVSNet_Blended_VisFu91.38 7090.91 7192.80 8096.39 7283.17 9994.87 10096.66 6383.29 17989.27 9494.46 11280.29 8699.17 3687.57 9195.37 9196.05 121
test22296.55 6781.70 13292.22 24795.01 17968.36 33290.20 8596.14 6580.26 8797.80 5596.05 121
Test By Simon80.02 88
IterMVS-LS88.36 13887.91 13389.70 21293.80 17778.29 23993.73 19095.08 17785.73 12184.75 19991.90 20679.88 8996.92 22283.83 13682.51 25593.89 212
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet89.10 12188.86 11189.80 20791.84 22178.30 23893.70 19495.01 17985.73 12187.15 12995.28 8779.87 9097.21 20183.81 13787.36 21493.88 214
TAPA-MVS84.62 688.16 14387.01 15491.62 12796.64 6380.65 16294.39 13696.21 9076.38 27986.19 14995.44 8379.75 9198.08 12862.75 32595.29 9396.13 114
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
Fast-Effi-MVS+89.41 11488.64 11391.71 12594.74 13880.81 15993.54 20095.10 17583.11 18286.82 13790.67 25079.74 9297.75 14780.51 18593.55 12096.57 104
pcd_1.5k_mvsjas6.64 3428.86 3430.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 36579.70 930.00 3660.00 3630.00 3640.00 364
PS-MVSNAJss89.97 9789.62 9191.02 14691.90 21980.85 15895.26 7595.98 10586.26 11286.21 14894.29 11779.70 9397.65 14988.87 7588.10 20594.57 181
PS-MVSNAJ91.18 7490.92 7091.96 11395.26 11882.60 12092.09 25295.70 12786.27 11191.84 6392.46 17979.70 9398.99 6089.08 7295.86 8394.29 194
xiu_mvs_v2_base91.13 7590.89 7291.86 11894.97 13182.42 12192.24 24695.64 13386.11 11691.74 6893.14 15779.67 9698.89 6789.06 7395.46 9094.28 195
WR-MVS_H87.80 15987.37 14089.10 23793.23 19178.12 24395.61 5997.30 1787.90 7483.72 22392.01 20279.65 9796.01 26676.36 23680.54 28993.16 255
EPNet91.79 6191.02 6994.10 4690.10 29685.25 5596.03 3792.05 25792.83 187.39 12895.78 7679.39 9899.01 5688.13 8497.48 6098.05 48
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
NR-MVSNet88.58 13487.47 13891.93 11593.04 19784.16 7794.77 10796.25 8589.05 4580.04 27593.29 15179.02 9997.05 21281.71 16880.05 29594.59 179
TAMVS89.21 11988.29 12491.96 11393.71 18082.62 11993.30 21094.19 20882.22 20787.78 12293.94 13178.83 10096.95 22077.70 22492.98 13496.32 108
1112_ss88.42 13587.33 14191.72 12494.92 13380.98 15392.97 22694.54 19878.16 26883.82 22193.88 13678.78 10197.91 13979.45 20689.41 17896.26 110
CDS-MVSNet89.45 11188.51 11592.29 10293.62 18283.61 9093.01 22394.68 19581.95 21487.82 12193.24 15378.69 10296.99 21580.34 18893.23 13096.28 109
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
WTY-MVS89.60 10588.92 10891.67 12695.47 11081.15 14992.38 24394.78 19383.11 18289.06 9894.32 11578.67 10396.61 24181.57 16990.89 15997.24 80
CPTT-MVS91.99 5991.80 5892.55 8998.24 2381.98 12996.76 1996.49 7281.89 21890.24 8496.44 5278.59 10498.61 8789.68 6897.85 5497.06 91
IS-MVSNet91.43 6991.09 6892.46 9395.87 9781.38 14296.95 993.69 22889.72 3489.50 9295.98 6978.57 10597.77 14383.02 14396.50 7798.22 36
OMC-MVS91.23 7290.62 7593.08 6996.27 7584.07 7893.52 20195.93 10886.95 9989.51 9196.13 6678.50 10698.35 10085.84 11192.90 13596.83 98
PCF-MVS84.11 1087.74 16186.08 19192.70 8494.02 16584.43 7289.27 29095.87 11573.62 30584.43 20794.33 11478.48 10798.86 7170.27 27494.45 10794.81 167
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
LCM-MVSNet-Re88.30 14088.32 12388.27 26194.71 14172.41 30693.15 21690.98 29287.77 7879.25 28191.96 20378.35 10895.75 27783.04 14295.62 8596.65 102
HY-MVS83.01 1289.03 12487.94 13292.29 10294.86 13682.77 11092.08 25394.49 19981.52 23386.93 13392.79 17478.32 10998.23 10579.93 19690.55 16095.88 126
MVS87.44 18186.10 19091.44 13292.61 20983.62 8992.63 23495.66 13067.26 33681.47 25592.15 19277.95 11098.22 10779.71 20295.48 8892.47 276
MVSFormer91.68 6791.30 6292.80 8093.86 17483.88 8195.96 4295.90 11284.66 14591.76 6694.91 9777.92 11197.30 18989.64 6997.11 6497.24 80
lupinMVS90.92 7790.21 8093.03 7293.86 17483.88 8192.81 23093.86 22479.84 24791.76 6694.29 11777.92 11198.04 13190.48 6597.11 6497.17 85
Test_1112_low_res87.65 16486.51 17991.08 14294.94 13279.28 20791.77 25594.30 20676.04 28483.51 23092.37 18377.86 11397.73 14878.69 21589.13 19196.22 111
VNet92.24 5891.91 5793.24 6296.59 6583.43 9394.84 10296.44 7389.19 4394.08 1995.90 7277.85 11498.17 11088.90 7493.38 12698.13 42
DU-MVS89.34 11888.50 11691.85 11993.04 19783.72 8594.47 12996.59 6889.50 3686.46 14193.29 15177.25 11597.23 19984.92 11881.02 28194.59 179
Baseline_NR-MVSNet87.07 19386.63 17688.40 25891.44 23377.87 25094.23 14992.57 24684.12 15785.74 15992.08 19877.25 11596.04 26382.29 15779.94 29891.30 300
jason90.80 7890.10 8392.90 7793.04 19783.53 9193.08 22094.15 21080.22 24391.41 7294.91 9776.87 11797.93 13890.28 6696.90 6797.24 80
jason: jason.
PAPM86.68 20285.39 20790.53 15993.05 19679.33 20689.79 28394.77 19478.82 25781.95 25093.24 15376.81 11897.30 18966.94 30293.16 13194.95 162
Vis-MVSNet (Re-imp)89.59 10689.44 9590.03 19795.74 9975.85 27895.61 5990.80 29787.66 8387.83 12095.40 8676.79 11996.46 24978.37 21696.73 7097.80 64
114514_t89.51 10888.50 11692.54 9098.11 2681.99 12895.16 8196.36 8070.19 32885.81 15395.25 8976.70 12098.63 8582.07 16096.86 6997.00 93
PLCcopyleft84.53 789.06 12388.03 12992.15 10697.27 5182.69 11794.29 14595.44 15279.71 24984.01 21894.18 12276.68 12198.75 8077.28 22893.41 12595.02 150
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TranMVSNet+NR-MVSNet88.84 12887.95 13191.49 13092.68 20883.01 10594.92 9696.31 8189.88 3085.53 16893.85 13876.63 12296.96 21881.91 16479.87 30094.50 186
MAR-MVS90.30 9089.37 9793.07 7196.61 6484.48 6795.68 5395.67 12882.36 20687.85 11592.85 16876.63 12298.80 7880.01 19396.68 7295.91 124
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
v1884.97 24283.76 24088.60 24891.36 24379.41 19593.82 18394.04 21383.00 19276.61 29786.60 30676.19 12495.43 28980.39 18671.79 32490.96 306
v687.98 14987.25 14590.16 18291.36 24379.39 20094.37 14095.27 16484.48 14885.78 15491.51 22276.15 12597.46 16184.46 12681.88 26693.62 238
v1neww87.98 14987.25 14590.16 18291.38 24079.41 19594.37 14095.28 16184.48 14885.77 15591.53 22076.12 12697.45 16384.45 12781.89 26493.61 239
v7new87.98 14987.25 14590.16 18291.38 24079.41 19594.37 14095.28 16184.48 14885.77 15591.53 22076.12 12697.45 16384.45 12781.89 26493.61 239
WR-MVS88.38 13687.67 13590.52 16593.30 19080.18 17093.26 21395.96 10788.57 5985.47 17392.81 17276.12 12696.91 22381.24 17182.29 25794.47 191
v1684.96 24383.74 24288.62 24691.40 23879.48 18993.83 18194.04 21383.03 18976.54 29886.59 30776.11 12995.42 29080.33 18971.80 32390.95 308
v1784.93 24583.70 24488.62 24691.36 24379.48 18993.83 18194.03 21583.04 18876.51 29986.57 30876.05 13095.42 29080.31 19171.65 32590.96 306
v887.50 18086.71 16589.89 20291.37 24279.40 19994.50 12595.38 15684.81 14183.60 22891.33 23076.05 13097.42 17482.84 14680.51 29292.84 266
v14887.04 19486.32 18389.21 23390.94 27177.26 26693.71 19394.43 20184.84 14084.36 21190.80 24876.04 13297.05 21282.12 15979.60 30193.31 250
v1584.79 24883.53 24988.57 25291.30 25479.41 19593.70 19494.01 21683.06 18576.27 30086.42 31276.03 13395.38 29280.01 19371.00 32890.92 309
V1484.79 24883.52 25088.57 25291.32 25079.43 19493.72 19294.01 21683.06 18576.22 30186.43 30976.01 13495.37 29379.96 19570.99 32990.91 310
V984.77 25083.50 25188.58 24991.33 24879.46 19193.75 18894.00 21983.07 18476.07 30686.43 30975.97 13595.37 29379.91 19870.93 33190.91 310
v187.85 15487.10 14890.11 19391.21 25779.24 21194.09 16395.24 16684.44 15285.70 16091.31 23375.96 13697.45 16384.18 13181.73 27393.64 235
3Dnovator+87.14 492.42 5791.37 6195.55 395.63 10488.73 297.07 896.77 5390.84 1784.02 21796.62 4475.95 13799.34 2487.77 8897.68 5698.59 10
v114187.84 15587.09 14990.11 19391.23 25579.25 20994.08 16595.24 16684.44 15285.69 16291.31 23375.91 13897.44 17084.17 13281.74 27193.63 237
divwei89l23v2f11287.84 15587.09 14990.10 19591.23 25579.24 21194.09 16395.24 16684.44 15285.70 16091.31 23375.91 13897.44 17084.17 13281.73 27393.64 235
v1384.72 25383.44 25488.58 24991.31 25379.52 18593.77 18694.00 21983.03 18975.85 30986.38 31475.84 14095.35 29779.83 20070.95 33090.87 313
v1284.74 25183.46 25288.58 24991.32 25079.50 18693.75 18894.01 21683.06 18575.98 30886.41 31375.82 14195.36 29679.87 19970.89 33290.89 312
BH-untuned88.60 13388.13 12890.01 19995.24 12578.50 23393.29 21194.15 21084.75 14384.46 20593.40 14475.76 14297.40 18177.59 22594.52 10494.12 200
BH-w/o87.57 17887.05 15389.12 23594.90 13577.90 24892.41 24193.51 23082.89 19783.70 22491.34 22975.75 14397.07 21075.49 24393.49 12292.39 279
cdsmvs_eth3d_5k22.14 33729.52 3380.00 3530.00 3670.00 3680.00 36095.76 1230.00 3630.00 36494.29 11775.66 1440.00 3660.00 3630.00 3640.00 364
CNLPA89.07 12287.98 13092.34 9996.87 5884.78 5994.08 16593.24 23381.41 23584.46 20595.13 9475.57 14596.62 23977.21 22993.84 11695.61 137
v1184.67 25683.41 25588.44 25791.32 25079.13 21493.69 19793.99 22182.81 19876.20 30286.24 31675.48 14695.35 29779.53 20471.48 32790.85 314
CHOSEN 1792x268888.84 12887.69 13492.30 10196.14 8181.42 14190.01 27995.86 11674.52 29887.41 12693.94 13175.46 14798.36 9880.36 18795.53 8697.12 88
MVS_030493.25 4792.62 5195.14 995.72 10087.58 894.71 11496.59 6891.78 791.46 7196.18 6475.45 14899.55 893.53 1198.19 4598.28 29
CP-MVSNet87.63 16887.26 14488.74 24293.12 19476.59 27295.29 6896.58 7088.43 6183.49 23192.98 16675.28 14995.83 27378.97 21281.15 27893.79 220
v787.75 16086.96 15590.12 18891.20 25879.50 18694.28 14695.46 14683.45 17485.75 15791.56 21975.13 15097.43 17283.60 13982.18 25993.42 248
v1087.25 18786.38 18089.85 20391.19 26079.50 18694.48 12695.45 15083.79 16483.62 22791.19 23875.13 15097.42 17481.94 16380.60 28792.63 272
Vis-MVSNetpermissive91.75 6391.23 6593.29 6095.32 11583.78 8396.14 3295.98 10589.89 2990.45 8296.58 4675.09 15298.31 10484.75 12296.90 6797.78 66
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
sss88.93 12788.26 12690.94 15294.05 16480.78 16091.71 25895.38 15681.55 23288.63 10193.91 13575.04 15395.47 28882.47 15391.61 14496.57 104
v114487.61 17686.79 16290.06 19691.01 26679.34 20393.95 17795.42 15583.36 17885.66 16491.31 23374.98 15497.42 17483.37 14082.06 26093.42 248
0601test90.69 8190.02 8892.71 8395.72 10082.41 12394.11 16095.12 17485.63 12491.49 7094.70 10574.75 15598.42 9786.13 11092.53 13997.31 78
V4287.68 16286.86 15790.15 18690.58 28580.14 17294.24 14895.28 16183.66 16685.67 16391.33 23074.73 15697.41 17984.43 12981.83 26892.89 264
XVG-OURS-SEG-HR89.95 9889.45 9491.47 13194.00 16981.21 14791.87 25496.06 10085.78 11988.55 10295.73 7874.67 15797.27 19388.71 7689.64 17695.91 124
v2v48287.84 15587.06 15290.17 18190.99 26779.23 21394.00 17595.13 17384.87 13985.53 16892.07 20074.45 15897.45 16384.71 12381.75 27093.85 218
CLD-MVS89.47 11088.90 10991.18 13894.22 15982.07 12792.13 25096.09 9687.90 7485.37 18492.45 18074.38 15997.56 15487.15 9890.43 16193.93 210
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
XXY-MVS87.65 16486.85 15890.03 19792.14 21580.60 16593.76 18795.23 16982.94 19484.60 20194.02 12674.27 16095.49 28781.04 17383.68 24494.01 209
HQP_MVS90.60 8690.19 8191.82 12194.70 14282.73 11495.85 4696.22 8790.81 1886.91 13494.86 10074.23 16198.12 11488.15 8289.99 16894.63 175
plane_prior694.52 14982.75 11174.23 161
v14419287.19 19186.35 18189.74 20890.64 28478.24 24193.92 17895.43 15381.93 21585.51 17091.05 24574.21 16397.45 16382.86 14581.56 27593.53 243
VPA-MVSNet89.62 10488.96 10691.60 12893.86 17482.89 10995.46 6297.33 1487.91 7388.43 10493.31 14974.17 16497.40 18187.32 9682.86 25394.52 184
ab-mvs89.41 11488.35 12092.60 8695.15 12682.65 11892.20 24895.60 13483.97 15988.55 10293.70 14374.16 16598.21 10882.46 15489.37 17996.94 95
131487.51 17986.57 17890.34 17892.42 21179.74 18492.63 23495.35 16078.35 26480.14 27391.62 21574.05 16697.15 20381.05 17293.53 12194.12 200
test_djsdf89.03 12488.64 11390.21 18090.74 28079.28 20795.96 4295.90 11284.66 14585.33 18692.94 16774.02 16797.30 18989.64 6988.53 19794.05 206
AdaColmapbinary89.89 10189.07 10492.37 9897.41 4383.03 10394.42 13395.92 10982.81 19886.34 14694.65 10873.89 16899.02 5480.69 18095.51 8795.05 149
HyFIR lowres test88.09 14686.81 16091.93 11596.00 9180.63 16390.01 27995.79 12173.42 30687.68 12492.10 19773.86 16997.96 13580.75 17991.70 14397.19 84
HQP2-MVS73.83 170
HQP-MVS89.80 10289.28 10091.34 13494.17 16081.56 13394.39 13696.04 10288.81 5085.43 17793.97 12973.83 17097.96 13587.11 10089.77 17494.50 186
3Dnovator86.66 591.73 6490.82 7394.44 3694.59 14786.37 3397.18 697.02 3289.20 4284.31 21396.66 4273.74 17299.17 3686.74 10397.96 5197.79 65
EPNet_dtu86.49 20885.94 19688.14 26690.24 29472.82 29894.11 16092.20 25286.66 10679.42 28092.36 18473.52 17395.81 27571.26 26993.66 11895.80 131
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TransMVSNet (Re)84.43 25883.06 25988.54 25491.72 22578.44 23495.18 7992.82 24082.73 20079.67 27792.12 19473.49 17495.96 26871.10 27368.73 33991.21 301
Effi-MVS+-dtu88.65 13288.35 12089.54 21793.33 18876.39 27394.47 12994.36 20387.70 7985.43 17789.56 27273.45 17597.26 19585.57 11391.28 14694.97 152
mvs-test189.45 11189.14 10290.38 17593.33 18877.63 25894.95 9394.36 20387.70 7987.10 13192.81 17273.45 17598.03 13285.57 11393.04 13395.48 139
PEN-MVS86.80 19886.27 18588.40 25892.32 21375.71 27995.18 7996.38 7987.97 7182.82 23893.15 15673.39 17795.92 26976.15 24079.03 30493.59 241
v119287.25 18786.33 18290.00 20090.76 27979.04 21593.80 18495.48 14582.57 20385.48 17291.18 23973.38 17897.42 17482.30 15682.06 26093.53 243
QAPM89.51 10888.15 12793.59 5894.92 13384.58 6296.82 1896.70 5978.43 26383.41 23296.19 6373.18 17999.30 3077.11 23196.54 7696.89 97
tpmrst85.35 23484.99 21386.43 29790.88 27667.88 32988.71 29891.43 27980.13 24486.08 15188.80 28073.05 18096.02 26582.48 15283.40 25095.40 142
PS-CasMVS87.32 18486.88 15688.63 24592.99 20176.33 27595.33 6396.61 6788.22 6883.30 23493.07 16073.03 18195.79 27678.36 21781.00 28393.75 226
DTE-MVSNet86.11 21285.48 20587.98 26891.65 22974.92 28294.93 9595.75 12487.36 8682.26 24393.04 16172.85 18295.82 27474.04 25677.46 31093.20 253
MVSTER88.84 12888.29 12490.51 16692.95 20280.44 16993.73 19095.01 17984.66 14587.15 12993.12 15872.79 18397.21 20187.86 8787.36 21493.87 215
pcd1.5k->3k37.02 33538.84 33631.53 34892.33 2120.00 3680.00 36096.13 940.00 3630.00 3640.00 36572.70 1840.00 3660.00 36388.43 20194.60 178
v192192086.97 19586.06 19289.69 21390.53 28978.11 24493.80 18495.43 15381.90 21785.33 18691.05 24572.66 18597.41 17982.05 16181.80 26993.53 243
DP-MVS87.25 18785.36 20892.90 7797.65 3583.24 9794.81 10492.00 25974.99 29381.92 25195.00 9672.66 18599.05 4766.92 30492.33 14196.40 106
v7n86.81 19785.76 19989.95 20190.72 28179.25 20995.07 8595.92 10984.45 15182.29 24290.86 24772.60 18797.53 15679.42 20980.52 29193.08 260
v74886.27 21085.28 20989.25 23290.26 29377.58 26594.89 9795.50 14484.28 15581.41 25790.46 25872.57 18897.32 18879.81 20178.36 30592.84 266
OPM-MVS90.12 9389.56 9291.82 12193.14 19383.90 8094.16 15795.74 12588.96 4987.86 11495.43 8572.48 18997.91 13988.10 8590.18 16793.65 234
LS3D87.89 15386.32 18392.59 8796.07 8982.92 10895.23 7694.92 18675.66 28682.89 23795.98 6972.48 18999.21 3368.43 29595.23 9595.64 136
pm-mvs186.61 20385.54 20189.82 20491.44 23380.18 17095.28 7494.85 18983.84 16181.66 25492.62 17772.45 19196.48 24779.67 20378.06 30692.82 268
PMMVS85.71 23084.96 21687.95 26988.90 31177.09 26788.68 29990.06 30972.32 31686.47 14090.76 24972.15 19294.40 30981.78 16793.49 12292.36 280
PatchmatchNetpermissive85.85 21984.70 22489.29 23191.76 22475.54 28088.49 30191.30 28181.63 23085.05 18988.70 28271.71 19396.24 25874.61 25389.05 19296.08 118
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
sam_mvs171.70 19496.12 115
V486.50 20685.54 20189.39 22489.13 30778.99 21694.73 10995.54 13983.59 16782.10 24690.61 25271.60 19597.45 16382.52 15080.01 29691.74 290
v5286.50 20685.53 20489.39 22489.17 30678.99 21694.72 11295.54 13983.59 16782.10 24690.60 25371.59 19697.45 16382.52 15079.99 29791.73 291
Anonymous2024052186.87 19685.95 19589.64 21492.89 20478.88 21895.66 5596.05 10184.77 14281.92 25192.39 18271.54 19796.96 21876.46 23581.87 26793.08 260
patchmatchnet-post83.76 32571.53 19896.48 247
v124086.78 19985.85 19789.56 21690.45 29077.79 25293.61 19895.37 15881.65 22885.43 17791.15 24171.50 19997.43 17281.47 17082.05 26293.47 247
anonymousdsp87.84 15587.09 14990.12 18889.13 30780.54 16694.67 11795.55 13782.05 21083.82 22192.12 19471.47 20097.15 20387.15 9887.80 21092.67 270
Patchmatch-test81.37 28779.30 29187.58 27590.92 27374.16 28780.99 34287.68 33770.52 32776.63 29688.81 27971.21 20192.76 32660.01 33386.93 22095.83 129
F-COLMAP87.95 15286.80 16191.40 13396.35 7480.88 15794.73 10995.45 15079.65 25082.04 24994.61 10971.13 20298.50 9276.24 23991.05 15394.80 168
pmmvs485.43 23283.86 23990.16 18290.02 29982.97 10790.27 27492.67 24475.93 28580.73 26491.74 21071.05 20395.73 27878.85 21383.46 24891.78 289
CR-MVSNet85.35 23483.76 24090.12 18890.58 28579.34 20385.24 32591.96 26378.27 26585.55 16687.87 29771.03 20495.61 27973.96 25889.36 18095.40 142
Patchmtry82.71 27280.93 27588.06 26790.05 29876.37 27484.74 32791.96 26372.28 31781.32 25987.87 29771.03 20495.50 28668.97 29080.15 29492.32 282
PatchFormer-LS_test86.02 21585.13 21188.70 24391.52 23074.12 28891.19 26992.09 25582.71 20184.30 21487.24 30370.87 20696.98 21681.04 17385.17 23195.00 151
RPMNet83.18 27080.87 27690.12 18890.58 28579.34 20385.24 32590.78 29871.44 32185.55 16682.97 32970.87 20695.61 27961.01 32989.36 18095.40 142
Patchmatch-RL test81.67 28179.96 28586.81 29585.42 33071.23 31282.17 34087.50 33978.47 26277.19 29482.50 33070.81 20893.48 31882.66 14972.89 32095.71 134
CostFormer85.77 22484.94 21788.26 26291.16 26372.58 30589.47 28891.04 29176.26 28286.45 14389.97 26570.74 20996.86 22682.35 15587.07 21995.34 145
sam_mvs70.60 210
xiu_mvs_v1_base_debu90.64 8390.05 8592.40 9593.97 17184.46 6893.32 20695.46 14685.17 13292.25 5494.03 12370.59 21198.57 8990.97 5694.67 9894.18 196
xiu_mvs_v1_base90.64 8390.05 8592.40 9593.97 17184.46 6893.32 20695.46 14685.17 13292.25 5494.03 12370.59 21198.57 8990.97 5694.67 9894.18 196
xiu_mvs_v1_base_debi90.64 8390.05 8592.40 9593.97 17184.46 6893.32 20695.46 14685.17 13292.25 5494.03 12370.59 21198.57 8990.97 5694.67 9894.18 196
test_post10.29 36070.57 21495.91 271
CANet_DTU90.26 9289.41 9692.81 7993.46 18683.01 10593.48 20294.47 20089.43 3787.76 12394.23 12170.54 21599.03 5184.97 11796.39 7996.38 107
BH-RMVSNet88.37 13787.48 13791.02 14695.28 11679.45 19392.89 22893.07 23685.45 12886.91 13494.84 10370.35 21697.76 14473.97 25794.59 10295.85 127
Fast-Effi-MVS+-dtu87.44 18186.72 16489.63 21592.04 21877.68 25794.03 17293.94 22285.81 11882.42 24191.32 23270.33 21797.06 21180.33 18990.23 16694.14 199
MDTV_nov1_ep13_2view55.91 35087.62 31173.32 30784.59 20270.33 21774.65 25295.50 138
ACMM84.12 989.14 12088.48 11991.12 13994.65 14681.22 14695.31 6496.12 9585.31 13185.92 15294.34 11370.19 21998.06 13085.65 11288.86 19494.08 204
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LPG-MVS_test89.45 11188.90 10991.12 13994.47 15181.49 13795.30 6696.14 9286.73 10485.45 17495.16 9269.89 22098.10 12087.70 8989.23 18393.77 224
LGP-MVS_train91.12 13994.47 15181.49 13796.14 9286.73 10485.45 17495.16 9269.89 22098.10 12087.70 8989.23 18393.77 224
CHOSEN 280x42085.15 23883.99 23788.65 24492.47 21078.40 23679.68 34592.76 24174.90 29581.41 25789.59 27069.85 22295.51 28479.92 19795.29 9392.03 286
LTVRE_ROB82.13 1386.26 21184.90 21990.34 17894.44 15481.50 13592.31 24594.89 18783.03 18979.63 27892.67 17569.69 22397.79 14271.20 27086.26 22291.72 292
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
OpenMVScopyleft83.78 1188.74 13187.29 14293.08 6992.70 20785.39 5396.57 2296.43 7578.74 26080.85 26396.07 6769.64 22499.01 5678.01 22296.65 7394.83 166
MDTV_nov1_ep1383.56 24891.69 22869.93 32387.75 30991.54 27578.60 26184.86 19888.90 27869.54 22596.03 26470.25 27588.93 193
PatchT82.68 27381.27 27186.89 29390.09 29770.94 31784.06 33290.15 30674.91 29485.63 16583.57 32669.37 22694.87 30765.19 31588.50 19994.84 165
VPNet88.20 14287.47 13890.39 17393.56 18479.46 19194.04 17195.54 13988.67 5586.96 13294.58 11169.33 22797.15 20384.05 13480.53 29094.56 182
ACMP84.23 889.01 12688.35 12090.99 14994.73 13981.27 14395.07 8595.89 11486.48 10783.67 22594.30 11669.33 22797.99 13487.10 10288.55 19693.72 228
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
test_post188.00 3069.81 36169.31 22995.53 28276.65 234
tpmvs83.35 26982.07 26687.20 28791.07 26571.00 31688.31 30491.70 26778.91 25480.49 26987.18 30469.30 23097.08 20968.12 29983.56 24693.51 246
thres20087.21 19086.24 18690.12 18895.36 11278.53 22793.26 21392.10 25486.42 10988.00 11391.11 24369.24 23198.00 13369.58 28491.04 15493.83 219
tfpn200view987.58 17786.64 17490.41 17295.99 9278.64 22194.58 12191.98 26186.94 10088.09 10791.77 20869.18 23298.10 12070.13 27891.10 14794.48 189
thres40087.62 17186.64 17490.57 15795.99 9278.64 22194.58 12191.98 26186.94 10088.09 10791.77 20869.18 23298.10 12070.13 27891.10 14794.96 155
tfpnnormal84.72 25383.23 25789.20 23492.79 20680.05 17594.48 12695.81 11982.38 20581.08 26191.21 23769.01 23496.95 22061.69 32780.59 28890.58 319
tfpn11187.63 16886.68 16890.47 16996.12 8278.55 22495.03 8891.58 27087.15 8888.06 11092.29 18768.91 23598.15 11369.88 28391.10 14794.71 170
conf200view1187.65 16486.71 16590.46 17196.12 8278.55 22495.03 8891.58 27087.15 8888.06 11092.29 18768.91 23598.10 12070.13 27891.10 14794.71 170
thres100view90087.63 16886.71 16590.38 17596.12 8278.55 22495.03 8891.58 27087.15 8888.06 11092.29 18768.91 23598.10 12070.13 27891.10 14794.48 189
thres600view787.65 16486.67 16990.59 15696.08 8878.72 21994.88 9991.58 27087.06 9788.08 10992.30 18668.91 23598.10 12070.05 28291.10 14794.96 155
view60087.62 17186.65 17090.53 15996.19 7778.52 22895.29 6891.09 28487.08 9387.84 11693.03 16268.86 23998.11 11669.44 28591.02 15594.96 155
view80087.62 17186.65 17090.53 15996.19 7778.52 22895.29 6891.09 28487.08 9387.84 11693.03 16268.86 23998.11 11669.44 28591.02 15594.96 155
conf0.05thres100087.62 17186.65 17090.53 15996.19 7778.52 22895.29 6891.09 28487.08 9387.84 11693.03 16268.86 23998.11 11669.44 28591.02 15594.96 155
tfpn87.62 17186.65 17090.53 15996.19 7778.52 22895.29 6891.09 28487.08 9387.84 11693.03 16268.86 23998.11 11669.44 28591.02 15594.96 155
PatchMatch-RL86.77 20185.54 20190.47 16995.88 9582.71 11690.54 27292.31 24979.82 24884.32 21291.57 21868.77 24396.39 25273.16 26293.48 12492.32 282
XVG-OURS89.40 11688.70 11291.52 12994.06 16381.46 13991.27 26796.07 9886.14 11588.89 10095.77 7768.73 24497.26 19587.39 9489.96 17095.83 129
TR-MVS86.78 19985.76 19989.82 20494.37 15578.41 23592.47 24092.83 23981.11 23886.36 14592.40 18168.73 24497.48 15973.75 26089.85 17393.57 242
tpm84.73 25284.02 23686.87 29490.33 29168.90 32689.06 29489.94 31280.85 24085.75 15789.86 26768.54 24695.97 26777.76 22384.05 24095.75 133
DI_MVS_plusplus_test88.15 14486.82 15992.14 10790.67 28381.07 15093.01 22394.59 19783.83 16377.78 28890.63 25168.51 24798.16 11188.02 8694.37 10997.17 85
test_normal88.13 14586.78 16392.18 10590.55 28881.19 14892.74 23294.64 19683.84 16177.49 29290.51 25768.49 24898.16 11188.22 8194.55 10397.21 83
tfpn_ndepth86.10 21384.98 21489.43 22395.52 10978.29 23994.62 11989.60 31981.88 22585.43 17790.54 25468.47 24996.85 22768.46 29490.34 16493.15 257
FMVSNet387.40 18386.11 18991.30 13593.79 17983.64 8894.20 15694.81 19283.89 16084.37 20891.87 20768.45 25096.56 24278.23 21985.36 22893.70 229
conf0.0185.83 22184.54 22789.71 21095.26 11877.63 25894.21 15089.33 32081.89 21884.94 19291.51 22268.43 25196.80 22866.05 30789.23 18394.71 170
conf0.00285.83 22184.54 22789.71 21095.26 11877.63 25894.21 15089.33 32081.89 21884.94 19291.51 22268.43 25196.80 22866.05 30789.23 18394.71 170
thresconf0.0285.75 22584.54 22789.38 22695.26 11877.63 25894.21 15089.33 32081.89 21884.94 19291.51 22268.43 25196.80 22866.05 30789.23 18393.70 229
tfpn_n40085.75 22584.54 22789.38 22695.26 11877.63 25894.21 15089.33 32081.89 21884.94 19291.51 22268.43 25196.80 22866.05 30789.23 18393.70 229
tfpnconf85.75 22584.54 22789.38 22695.26 11877.63 25894.21 15089.33 32081.89 21884.94 19291.51 22268.43 25196.80 22866.05 30789.23 18393.70 229
tfpnview1185.75 22584.54 22789.38 22695.26 11877.63 25894.21 15089.33 32081.89 21884.94 19291.51 22268.43 25196.80 22866.05 30789.23 18393.70 229
MVP-Stereo85.97 21784.86 22089.32 23090.92 27382.19 12592.11 25194.19 20878.76 25978.77 28391.63 21468.38 25796.56 24275.01 25093.95 11389.20 326
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
tfpn100086.06 21484.92 21889.49 22195.54 10677.79 25294.72 11289.07 32782.05 21085.36 18591.94 20468.32 25896.65 23767.04 30190.24 16594.02 208
tpm cat181.96 27780.27 28087.01 28991.09 26471.02 31587.38 31291.53 27666.25 33780.17 27186.35 31568.22 25996.15 26169.16 28982.29 25793.86 217
tpm284.08 26082.94 26087.48 27991.39 23971.27 31189.23 29290.37 30271.95 31984.64 20089.33 27367.30 26096.55 24475.17 24787.09 21894.63 175
test-LLR85.87 21885.41 20687.25 28390.95 26971.67 30989.55 28489.88 31483.41 17584.54 20387.95 29467.25 26195.11 30281.82 16593.37 12794.97 152
test0.0.03 182.41 27581.69 26884.59 31188.23 31872.89 29790.24 27587.83 33583.41 17579.86 27689.78 26867.25 26188.99 33865.18 31683.42 24991.90 288
CVMVSNet84.69 25584.79 22284.37 31391.84 22164.92 33693.70 19491.47 27866.19 33886.16 15095.28 8767.18 26393.33 32080.89 17890.42 16294.88 164
our_test_381.93 27880.46 27886.33 29988.46 31573.48 29388.46 30291.11 28376.46 27776.69 29588.25 29066.89 26494.36 31068.75 29179.08 30391.14 303
Patchmatch-test185.81 22384.71 22389.12 23592.15 21476.60 27191.12 27091.69 26883.53 17285.50 17188.56 28566.79 26595.00 30572.69 26490.35 16395.76 132
IterMVS84.88 24683.98 23887.60 27491.44 23376.03 27790.18 27792.41 24883.24 18181.06 26290.42 25966.60 26694.28 31179.46 20580.98 28492.48 275
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
GBi-Net87.26 18585.98 19391.08 14294.01 16683.10 10095.14 8294.94 18283.57 16984.37 20891.64 21166.59 26796.34 25578.23 21985.36 22893.79 220
test187.26 18585.98 19391.08 14294.01 16683.10 10095.14 8294.94 18283.57 16984.37 20891.64 21166.59 26796.34 25578.23 21985.36 22893.79 220
FMVSNet287.19 19185.82 19891.30 13594.01 16683.67 8794.79 10594.94 18283.57 16983.88 21992.05 20166.59 26796.51 24577.56 22685.01 23293.73 227
EPMVS83.90 26382.70 26487.51 27690.23 29572.67 30188.62 30081.96 35081.37 23685.01 19088.34 28866.31 27094.45 30875.30 24687.12 21795.43 141
semantic-postprocess88.18 26591.71 22676.87 27092.65 24585.40 12981.44 25690.54 25466.21 27195.00 30581.04 17381.05 27992.66 271
ppachtmachnet_test81.84 27980.07 28487.15 28888.46 31574.43 28489.04 29592.16 25375.33 28977.75 28988.99 27666.20 27295.37 29365.12 31777.60 30891.65 293
tpmp4_e2383.87 26482.33 26588.48 25591.46 23272.82 29889.82 28291.57 27473.02 31181.86 25389.05 27566.20 27296.97 21771.57 26886.39 22195.66 135
MDA-MVSNet_test_wron79.21 30377.19 30385.29 30688.22 31972.77 30085.87 32090.06 30974.34 29962.62 34387.56 30066.14 27491.99 33066.90 30573.01 31891.10 305
YYNet179.22 30277.20 30285.28 30788.20 32072.66 30285.87 32090.05 31174.33 30062.70 34287.61 29966.09 27592.03 32966.94 30272.97 31991.15 302
JIA-IIPM81.04 29078.98 29687.25 28388.64 31273.48 29381.75 34189.61 31873.19 30882.05 24873.71 34466.07 27695.87 27271.18 27284.60 23592.41 278
MSDG84.86 24783.09 25890.14 18793.80 17780.05 17589.18 29393.09 23578.89 25578.19 28491.91 20565.86 27797.27 19368.47 29388.45 20093.11 258
jajsoiax88.24 14187.50 13690.48 16890.89 27580.14 17295.31 6495.65 13284.97 13884.24 21594.02 12665.31 27897.42 17488.56 7788.52 19893.89 212
cascas86.43 20984.98 21490.80 15492.10 21780.92 15690.24 27595.91 11173.10 30983.57 22988.39 28765.15 27997.46 16184.90 12091.43 14594.03 207
ADS-MVSNet281.66 28279.71 28887.50 27791.35 24674.19 28683.33 33688.48 33172.90 31282.24 24485.77 31864.98 28093.20 32264.57 31983.74 24295.12 147
ADS-MVSNet81.56 28479.78 28686.90 29291.35 24671.82 30883.33 33689.16 32672.90 31282.24 24485.77 31864.98 28093.76 31564.57 31983.74 24295.12 147
pmmvs584.21 25982.84 26388.34 26088.95 31076.94 26992.41 24191.91 26575.63 28780.28 27091.18 23964.59 28295.57 28177.09 23283.47 24792.53 274
PVSNet78.82 1885.55 23184.65 22588.23 26494.72 14071.93 30787.12 31392.75 24278.80 25884.95 19190.53 25664.43 28396.71 23674.74 25193.86 11596.06 120
UGNet89.95 9888.95 10792.95 7594.51 15083.31 9695.70 5295.23 16989.37 3987.58 12593.94 13164.00 28498.78 7983.92 13596.31 8096.74 101
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
RPSCF85.07 23984.27 23387.48 27992.91 20370.62 31991.69 26092.46 24776.20 28382.67 24095.22 9063.94 28597.29 19277.51 22785.80 22594.53 183
mvs_tets88.06 14887.28 14390.38 17590.94 27179.88 18095.22 7795.66 13085.10 13684.21 21693.94 13163.53 28697.40 18188.50 7888.40 20393.87 215
Anonymous2023121186.59 20585.13 21190.98 15196.52 6981.50 13596.14 3296.16 9173.78 30383.65 22692.15 19263.26 28797.37 18682.82 14781.74 27194.06 205
dp81.47 28680.23 28185.17 30889.92 30165.49 33586.74 31490.10 30876.30 28181.10 26087.12 30562.81 28895.92 26968.13 29879.88 29994.09 203
LFMVS90.08 9489.13 10392.95 7596.71 6182.32 12496.08 3589.91 31386.79 10392.15 5996.81 3462.60 28998.34 10187.18 9793.90 11498.19 37
DWT-MVSNet_test84.95 24483.68 24588.77 24091.43 23673.75 29191.74 25790.98 29280.66 24183.84 22087.36 30162.44 29097.11 20778.84 21485.81 22495.46 140
Anonymous2023120681.03 29179.77 28784.82 31087.85 32570.26 32191.42 26492.08 25673.67 30477.75 28989.25 27462.43 29193.08 32461.50 32882.00 26391.12 304
VDD-MVS90.74 7989.92 8993.20 6396.27 7583.02 10495.73 5093.86 22488.42 6292.53 4996.84 3262.09 29298.64 8490.95 5992.62 13897.93 58
MS-PatchMatch85.05 24084.16 23487.73 27291.42 23778.51 23291.25 26893.53 22977.50 27080.15 27291.58 21661.99 29395.51 28475.69 24294.35 11089.16 327
OurMVSNet-221017-085.35 23484.64 22687.49 27890.77 27872.59 30494.01 17494.40 20284.72 14479.62 27993.17 15561.91 29496.72 23481.99 16281.16 27693.16 255
test20.0379.95 29779.08 29482.55 31985.79 32967.74 33091.09 27191.08 28881.23 23774.48 31689.96 26661.63 29590.15 33660.08 33176.38 31289.76 321
DSMNet-mixed76.94 30776.29 30678.89 32383.10 33856.11 34987.78 30879.77 35360.65 34575.64 31088.71 28161.56 29688.34 34060.07 33289.29 18292.21 285
Anonymous2024052988.09 14686.59 17792.58 8896.53 6881.92 13095.99 3895.84 11774.11 30189.06 9895.21 9161.44 29798.81 7783.67 13887.47 21197.01 92
IB-MVS80.51 1585.24 23783.26 25691.19 13792.13 21679.86 18191.75 25691.29 28283.28 18080.66 26688.49 28661.28 29898.46 9480.99 17679.46 30295.25 146
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-MVS86.61 20385.27 21090.66 15591.33 24878.71 22090.40 27393.81 22785.34 13085.12 18889.57 27161.25 29997.11 20780.99 17689.59 17796.15 112
N_pmnet68.89 31968.44 32070.23 33589.07 30928.79 36488.06 30519.50 36569.47 33071.86 32884.93 32161.24 30091.75 33254.70 33777.15 31190.15 320
EU-MVSNet81.32 28880.95 27482.42 32088.50 31463.67 33793.32 20691.33 28064.02 34280.57 26892.83 17061.21 30192.27 32876.34 23780.38 29391.32 299
VDDNet89.56 10788.49 11892.76 8295.07 12782.09 12696.30 2693.19 23481.05 23991.88 6296.86 3161.16 30298.33 10288.43 8092.49 14097.84 62
PVSNet_073.20 2077.22 30674.83 30984.37 31390.70 28271.10 31483.09 33889.67 31772.81 31473.93 31883.13 32860.79 30393.70 31668.54 29250.84 35088.30 337
SixPastTwentyTwo83.91 26282.90 26186.92 29190.99 26770.67 31893.48 20291.99 26085.54 12677.62 29192.11 19660.59 30496.87 22576.05 24177.75 30793.20 253
gg-mvs-nofinetune81.77 28079.37 29088.99 23890.85 27777.73 25686.29 31779.63 35474.88 29683.19 23569.05 34760.34 30596.11 26275.46 24494.64 10193.11 258
MDA-MVSNet-bldmvs78.85 30476.31 30586.46 29689.76 30373.88 29088.79 29790.42 30179.16 25359.18 34488.33 28960.20 30694.04 31362.00 32668.96 33791.48 297
pmmvs683.42 26681.60 26988.87 23988.01 32277.87 25094.96 9294.24 20774.67 29778.80 28291.09 24460.17 30796.49 24677.06 23375.40 31592.23 284
ACMH80.38 1785.36 23383.68 24590.39 17394.45 15380.63 16394.73 10994.85 18982.09 20977.24 29392.65 17660.01 30897.58 15272.25 26684.87 23392.96 262
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
GG-mvs-BLEND87.94 27089.73 30477.91 24787.80 30778.23 35680.58 26783.86 32459.88 30995.33 29971.20 27092.22 14290.60 318
pmmvs-eth3d80.97 29278.72 29787.74 27184.99 33379.97 17990.11 27891.65 26975.36 28873.51 31986.03 31759.45 31093.96 31475.17 24772.21 32189.29 325
test_040281.30 28979.17 29387.67 27393.19 19278.17 24292.98 22591.71 26675.25 29076.02 30790.31 26059.23 31196.37 25350.22 34283.63 24588.47 336
FMVSNet185.85 21984.11 23591.08 14292.81 20583.10 10095.14 8294.94 18281.64 22982.68 23991.64 21159.01 31296.34 25575.37 24583.78 24193.79 220
COLMAP_ROBcopyleft80.39 1683.96 26182.04 26789.74 20895.28 11679.75 18394.25 14792.28 25075.17 29178.02 28793.77 14058.60 31397.84 14165.06 31885.92 22391.63 294
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ACMH+81.04 1485.05 24083.46 25289.82 20494.66 14479.37 20194.44 13194.12 21282.19 20878.04 28692.82 17158.23 31497.54 15573.77 25982.90 25292.54 273
LP75.51 31072.15 31485.61 30487.86 32473.93 28980.20 34488.43 33267.39 33370.05 33080.56 33758.18 31593.18 32346.28 34870.36 33489.71 323
CMPMVSbinary59.16 2180.52 29479.20 29284.48 31283.98 33567.63 33189.95 28193.84 22664.79 34166.81 33791.14 24257.93 31695.17 30076.25 23888.10 20590.65 315
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
ITE_SJBPF88.24 26391.88 22077.05 26892.92 23785.54 12680.13 27493.30 15057.29 31796.20 25972.46 26584.71 23491.49 296
TESTMET0.1,183.74 26582.85 26286.42 29889.96 30071.21 31389.55 28487.88 33477.41 27183.37 23387.31 30256.71 31893.65 31780.62 18292.85 13794.40 192
UnsupCasMVSNet_eth80.07 29678.27 29885.46 30585.24 33172.63 30388.45 30394.87 18882.99 19371.64 32988.07 29356.34 31991.75 33273.48 26163.36 34592.01 287
K. test v381.59 28380.15 28385.91 30289.89 30269.42 32592.57 23787.71 33685.56 12573.44 32089.71 26955.58 32095.52 28377.17 23069.76 33592.78 269
test-mter84.54 25783.64 24787.25 28390.95 26971.67 30989.55 28489.88 31479.17 25284.54 20387.95 29455.56 32195.11 30281.82 16593.37 12794.97 152
lessismore_v086.04 30088.46 31568.78 32780.59 35273.01 32390.11 26355.39 32296.43 25175.06 24965.06 34192.90 263
MVS-HIRNet73.70 31372.20 31378.18 32691.81 22356.42 34882.94 33982.58 34855.24 34768.88 33266.48 34855.32 32395.13 30158.12 33488.42 20283.01 343
new-patchmatchnet76.41 30875.17 30880.13 32282.65 34059.61 34287.66 31091.08 28878.23 26769.85 33183.22 32754.76 32491.63 33464.14 32164.89 34289.16 327
Anonymous20240521187.68 16286.13 18792.31 10096.66 6280.74 16194.87 10091.49 27780.47 24289.46 9395.44 8354.72 32598.23 10582.19 15889.89 17197.97 53
XVG-ACMP-BASELINE86.00 21684.84 22189.45 22291.20 25878.00 24591.70 25995.55 13785.05 13782.97 23692.25 19154.49 32697.48 15982.93 14487.45 21392.89 264
USDC82.76 27181.26 27287.26 28291.17 26174.55 28389.27 29093.39 23278.26 26675.30 31192.08 19854.43 32796.63 23871.64 26785.79 22690.61 316
AllTest83.42 26681.39 27089.52 21895.01 12877.79 25293.12 21790.89 29577.41 27176.12 30493.34 14554.08 32897.51 15768.31 29684.27 23893.26 251
TestCases89.52 21895.01 12877.79 25290.89 29577.41 27176.12 30493.34 14554.08 32897.51 15768.31 29684.27 23893.26 251
MIMVSNet82.59 27480.53 27788.76 24191.51 23178.32 23786.57 31690.13 30779.32 25180.70 26588.69 28352.98 33093.07 32566.03 31388.86 19494.90 163
FMVSNet581.52 28579.60 28987.27 28191.17 26177.95 24691.49 26392.26 25176.87 27676.16 30387.91 29651.67 33192.34 32767.74 30081.16 27691.52 295
testgi80.94 29380.20 28283.18 31787.96 32366.29 33291.28 26690.70 30083.70 16578.12 28592.84 16951.37 33290.82 33563.34 32282.46 25692.43 277
Test485.75 22583.72 24391.83 12088.08 32181.03 15292.48 23995.54 13983.38 17773.40 32188.57 28450.99 33397.37 18686.61 10894.47 10697.09 89
UnsupCasMVSNet_bld76.23 30973.27 31185.09 30983.79 33672.92 29685.65 32493.47 23171.52 32068.84 33379.08 34049.77 33493.21 32166.81 30660.52 34789.13 329
OpenMVS_ROBcopyleft74.94 1979.51 30077.03 30486.93 29087.00 32676.23 27692.33 24490.74 29968.93 33174.52 31588.23 29149.58 33596.62 23957.64 33584.29 23787.94 338
testing_283.40 26881.02 27390.56 15885.06 33280.51 16791.37 26595.57 13582.92 19567.06 33685.54 32049.47 33697.24 19786.74 10385.44 22793.93 210
TDRefinement79.81 29877.34 30087.22 28679.24 34675.48 28193.12 21792.03 25876.45 27875.01 31291.58 21649.19 33796.44 25070.22 27769.18 33689.75 322
MIMVSNet179.38 30177.28 30185.69 30386.35 32873.67 29291.61 26292.75 24278.11 26972.64 32588.12 29248.16 33891.97 33160.32 33077.49 30991.43 298
LF4IMVS80.37 29579.07 29584.27 31586.64 32769.87 32489.39 28991.05 29076.38 27974.97 31390.00 26447.85 33994.25 31274.55 25480.82 28688.69 332
EG-PatchMatch MVS82.37 27680.34 27988.46 25690.27 29279.35 20292.80 23194.33 20577.14 27573.26 32290.18 26247.47 34096.72 23470.25 27587.32 21689.30 324
testpf71.41 31772.11 31569.30 33784.53 33459.79 34162.74 35583.14 34771.11 32468.83 33481.57 33546.70 34184.83 35174.51 25575.86 31463.30 351
TinyColmap79.76 29977.69 29985.97 30191.71 22673.12 29589.55 28490.36 30375.03 29272.03 32790.19 26146.22 34296.19 26063.11 32381.03 28088.59 333
test235674.50 31173.27 31178.20 32480.81 34259.84 34083.76 33588.33 33371.43 32272.37 32681.84 33345.60 34386.26 34650.97 34084.32 23688.50 334
tmp_tt35.64 33639.24 33524.84 34914.87 36423.90 36562.71 35651.51 3646.58 36036.66 35462.08 35244.37 34430.34 36352.40 33822.00 35920.27 359
new_pmnet72.15 31570.13 31778.20 32482.95 33965.68 33383.91 33382.40 34962.94 34464.47 34079.82 33942.85 34586.26 34657.41 33674.44 31782.65 344
test123567872.22 31470.31 31677.93 32778.04 34758.04 34485.76 32289.80 31670.15 32963.43 34180.20 33842.24 34687.24 34348.68 34474.50 31688.50 334
111170.54 31869.71 31873.04 33279.30 34444.83 35784.23 33088.96 32867.33 33465.42 33882.28 33141.11 34788.11 34147.12 34671.60 32686.19 340
.test124557.63 32861.79 32545.14 34679.30 34444.83 35784.23 33088.96 32867.33 33465.42 33882.28 33141.11 34788.11 34147.12 3460.39 3612.46 362
testus74.41 31273.35 31077.59 32882.49 34157.08 34586.02 31890.21 30572.28 31772.89 32484.32 32337.08 34986.96 34452.24 33982.65 25488.73 330
pmmvs371.81 31668.71 31981.11 32175.86 34870.42 32086.74 31483.66 34658.95 34668.64 33580.89 33636.93 35089.52 33763.10 32463.59 34483.39 342
PM-MVS78.11 30576.12 30784.09 31683.54 33770.08 32288.97 29685.27 34479.93 24674.73 31486.43 30934.70 35193.48 31879.43 20872.06 32288.72 331
ambc83.06 31879.99 34363.51 33877.47 34892.86 23874.34 31784.45 32228.74 35295.06 30473.06 26368.89 33890.61 316
test1235664.99 32263.78 32168.61 33972.69 35039.14 36078.46 34687.61 33864.91 34055.77 34577.48 34128.10 35385.59 34844.69 34964.35 34381.12 346
DeepMVS_CXcopyleft56.31 34474.23 34951.81 35356.67 36344.85 35148.54 35075.16 34227.87 35458.74 36140.92 35252.22 34958.39 355
no-one61.56 32456.58 32676.49 33067.80 35662.76 33978.13 34786.11 34063.16 34343.24 35164.70 35026.12 35588.95 33950.84 34129.15 35377.77 348
testmv65.49 32162.66 32273.96 33168.78 35353.14 35284.70 32888.56 33065.94 33952.35 34774.65 34325.02 35685.14 34943.54 35060.40 34883.60 341
FPMVS64.63 32362.55 32370.88 33470.80 35156.71 34684.42 32984.42 34551.78 34949.57 34881.61 33423.49 35781.48 35340.61 35376.25 31374.46 350
ANet_high58.88 32654.22 32972.86 33356.50 36256.67 34780.75 34386.00 34173.09 31037.39 35364.63 35122.17 35879.49 35643.51 35123.96 35782.43 345
EMVS42.07 33441.12 33444.92 34763.45 35935.56 36373.65 34963.48 36033.05 35726.88 35945.45 35821.27 35967.14 35919.80 35923.02 35832.06 358
Gipumacopyleft57.99 32754.91 32867.24 34088.51 31365.59 33452.21 35890.33 30443.58 35342.84 35251.18 35520.29 36085.07 35034.77 35570.45 33351.05 356
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
E-PMN43.23 33342.29 33346.03 34565.58 35737.41 36173.51 35064.62 35933.99 35628.47 35847.87 35619.90 36167.91 35822.23 35824.45 35632.77 357
PMMVS259.60 32556.40 32769.21 33868.83 35246.58 35573.02 35377.48 35755.07 34849.21 34972.95 34617.43 36280.04 35449.32 34344.33 35180.99 347
LCM-MVSNet66.00 32062.16 32477.51 32964.51 35858.29 34383.87 33490.90 29448.17 35054.69 34673.31 34516.83 36386.75 34565.47 31461.67 34687.48 339
PNet_i23d50.48 33147.18 33160.36 34268.59 35444.56 35972.75 35472.61 35843.92 35233.91 35560.19 3536.16 36473.52 35738.50 35428.04 35463.01 352
PMVScopyleft47.18 2252.22 32948.46 33063.48 34145.72 36346.20 35673.41 35178.31 35541.03 35430.06 35665.68 3496.05 36583.43 35230.04 35665.86 34060.80 353
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive39.65 2343.39 33238.59 33757.77 34356.52 36148.77 35455.38 35758.64 36229.33 35828.96 35752.65 3544.68 36664.62 36028.11 35733.07 35259.93 354
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuyk23d21.27 33820.48 33923.63 35068.59 35436.41 36249.57 3596.85 3669.37 3597.89 3614.46 3644.03 36731.37 36217.47 36016.07 3603.12 360
wuykxyi23d50.55 33044.13 33269.81 33656.77 36054.58 35173.22 35280.78 35139.79 35522.08 36046.69 3574.03 36779.71 35547.65 34526.13 35575.14 349
test1238.76 34011.22 3411.39 3510.85 3660.97 36685.76 3220.35 3680.54 3622.45 3638.14 3630.60 3690.48 3642.16 3620.17 3632.71 361
testmvs8.92 33911.52 3401.12 3521.06 3650.46 36786.02 3180.65 3670.62 3612.74 3629.52 3620.31 3700.45 3652.38 3610.39 3612.46 362
sosnet-low-res0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
sosnet0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
uncertanet0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
Regformer0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
ab-mvs-re7.82 34110.43 3420.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 36493.88 1360.00 3710.00 3660.00 3630.00 3640.00 364
uanet0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
GSMVS96.12 115
test_part395.99 3888.25 6697.60 599.62 193.18 19
test_part298.55 587.22 1196.40 3
MTGPAbinary96.97 35
MTMP96.16 3160.64 361
gm-plane-assit89.60 30568.00 32877.28 27488.99 27697.57 15379.44 207
test9_res91.91 4398.71 2098.07 46
agg_prior290.54 6398.68 2598.27 32
agg_prior97.38 4485.92 4596.72 5792.16 5798.97 62
test_prior485.96 4494.11 160
test_prior93.82 5297.29 4984.49 6596.88 4498.87 6898.11 44
旧先验293.36 20571.25 32394.37 1497.13 20686.74 103
新几何293.11 219
无先验93.28 21296.26 8373.95 30299.05 4780.56 18396.59 103
原ACMM292.94 227
testdata298.75 8078.30 218
testdata192.15 24987.94 72
plane_prior794.70 14282.74 113
plane_prior596.22 8798.12 11488.15 8289.99 16894.63 175
plane_prior494.86 100
plane_prior382.75 11190.26 2586.91 134
plane_prior295.85 4690.81 18
plane_prior194.59 147
plane_prior82.73 11495.21 7889.66 3589.88 172
n20.00 369
nn0.00 369
door-mid85.49 342
test1196.57 71
door85.33 343
HQP5-MVS81.56 133
HQP-NCC94.17 16094.39 13688.81 5085.43 177
ACMP_Plane94.17 16094.39 13688.81 5085.43 177
BP-MVS87.11 100
HQP4-MVS85.43 17797.96 13594.51 185
HQP3-MVS96.04 10289.77 174
NP-MVS94.37 15582.42 12193.98 128
ACMMP++_ref87.47 211
ACMMP++88.01 208