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 bysorted bysort bysort bysort bysort bysort by
APDe-MVS89.15 189.63 187.73 1594.49 871.69 3493.83 293.96 275.70 6491.06 196.03 176.84 297.03 389.09 195.65 1194.47 9
SteuartSystems-ACMMP88.72 488.86 488.32 492.14 4672.96 1593.73 393.67 680.19 1288.10 594.80 273.76 1897.11 187.51 495.82 694.90 3
Skip Steuart: Steuart Systems R&D Blog.
region2R87.42 1287.20 1388.09 694.63 473.55 793.03 793.12 1876.73 4984.45 3294.52 369.09 4796.70 984.37 1994.83 2494.03 20
ACMMPR87.44 1087.23 1288.08 794.64 373.59 693.04 593.20 1576.78 4684.66 2994.52 368.81 4996.65 1084.53 1694.90 2194.00 23
APD-MVScopyleft87.44 1087.52 987.19 2394.24 1572.39 2891.86 2192.83 3173.01 10288.58 494.52 373.36 1996.49 1784.26 2095.01 1992.70 60
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
APD-MVS_3200maxsize85.97 3085.88 2986.22 4192.69 3869.53 6091.93 2092.99 2473.54 9185.94 1394.51 665.80 6995.61 3083.04 3092.51 4593.53 41
CP-MVS87.11 1686.92 1687.68 1994.20 1773.86 393.98 192.82 3376.62 5183.68 4394.46 767.93 5195.95 2784.20 2194.39 3193.23 47
HFP-MVS87.58 987.47 1087.94 1094.58 573.54 993.04 593.24 1376.78 4684.91 2394.44 870.78 3496.61 1284.53 1694.89 2293.66 30
#test#87.33 1487.13 1487.94 1094.58 573.54 992.34 1493.24 1375.23 7184.91 2394.44 870.78 3496.61 1283.75 2394.89 2293.66 30
PGM-MVS86.68 2186.27 2487.90 1394.22 1673.38 1290.22 4393.04 1975.53 6683.86 4094.42 1067.87 5396.64 1182.70 3394.57 2793.66 30
MP-MVScopyleft87.71 887.64 887.93 1294.36 1473.88 292.71 1292.65 3677.57 3083.84 4194.40 1172.24 2896.28 2185.65 795.30 1793.62 37
HPM-MVS++89.02 289.15 288.63 195.01 176.03 192.38 1392.85 3080.26 1187.78 894.27 1275.89 696.81 687.45 596.44 193.05 53
mPP-MVS86.67 2286.32 2387.72 1794.41 1273.55 792.74 1092.22 4576.87 4482.81 5494.25 1366.44 6296.24 2282.88 3294.28 3493.38 43
DeepC-MVS79.81 287.08 1886.88 1887.69 1891.16 5672.32 3090.31 4193.94 377.12 3882.82 5394.23 1472.13 2997.09 284.83 1495.37 1493.65 35
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
XVS87.18 1586.91 1788.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4494.17 1567.45 5596.60 1483.06 2894.50 2894.07 18
abl_692.23 4570.48 4892.08 5085.26 1894.16 1662.75 10291.81 83
DeepPCF-MVS80.84 188.10 588.56 586.73 3192.24 4469.03 6689.57 5493.39 1177.53 3389.79 394.12 1778.98 196.58 1685.66 695.72 794.58 6
HPM-MVS_fast85.35 4084.95 4186.57 3693.69 2070.58 4792.15 1891.62 6973.89 8582.67 5694.09 1862.60 10995.54 3380.93 4092.93 4093.57 38
CNVR-MVS88.93 389.13 388.33 394.77 273.82 490.51 3593.00 2280.90 888.06 694.06 1976.43 396.84 588.48 295.99 294.34 12
SD-MVS88.06 688.50 686.71 3292.60 4272.71 2091.81 2293.19 1677.87 2790.32 294.00 2074.83 893.78 9987.63 394.27 3593.65 35
HPM-MVS87.11 1686.98 1587.50 2093.88 1972.16 3192.19 1793.33 1276.07 6183.81 4293.95 2169.77 4396.01 2685.15 894.66 2694.32 13
ACMMPcopyleft85.89 3285.39 3487.38 2193.59 2172.63 2292.74 1093.18 1776.78 4680.73 6893.82 2264.33 7796.29 2082.67 3490.69 5893.23 47
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
test_prior386.73 2086.86 1986.33 3892.61 4069.59 5888.85 6892.97 2775.41 6784.91 2393.54 2374.28 1595.48 3483.31 2495.86 493.91 25
test_prior288.85 6875.41 6784.91 2393.54 2374.28 1583.31 2495.86 4
VDDNet81.52 7680.67 7784.05 8190.44 6564.13 16189.73 5285.91 19271.11 12983.18 4893.48 2550.54 20493.49 11373.40 9988.25 8694.54 8
CDPH-MVS85.76 3385.29 3887.17 2493.49 2371.08 3888.58 7892.42 4168.32 16884.61 3093.48 2572.32 2796.15 2479.00 5095.43 1394.28 14
NCCC88.06 688.01 788.24 594.41 1273.62 591.22 2892.83 3181.50 585.79 1593.47 2773.02 2297.00 484.90 1194.94 2094.10 17
3Dnovator+77.84 485.48 3684.47 4388.51 291.08 5773.49 1193.18 493.78 580.79 976.66 12793.37 2860.40 14796.75 877.20 6493.73 3895.29 1
DeepC-MVS_fast79.65 386.91 1986.62 2087.76 1493.52 2272.37 2991.26 2593.04 1976.62 5184.22 3793.36 2971.44 3296.76 780.82 4295.33 1594.16 15
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
VDD-MVS83.01 5882.36 5884.96 5791.02 5866.40 10988.91 6688.11 16577.57 3084.39 3593.29 3052.19 19593.91 9077.05 6688.70 7894.57 7
UA-Net85.08 4384.96 4085.45 4892.07 4768.07 9089.78 5090.86 8982.48 284.60 3193.20 3169.35 4595.22 4571.39 12190.88 5793.07 52
agg_prior186.22 2886.09 2886.62 3492.85 3571.94 3288.59 7791.78 6468.96 16084.41 3393.18 3274.94 794.93 5684.75 1595.33 1593.01 56
TEST993.26 2772.96 1588.75 7291.89 5868.44 16785.00 2193.10 3374.36 1495.41 39
train_agg86.43 2486.20 2587.13 2593.26 2772.96 1588.75 7291.89 5868.69 16385.00 2193.10 3374.43 1195.41 3984.97 995.71 893.02 54
test_893.13 2972.57 2488.68 7591.84 6168.69 16384.87 2793.10 3374.43 1195.16 47
LFMVS81.82 7281.23 7183.57 9191.89 5063.43 17489.84 4781.85 22677.04 4183.21 4793.10 3352.26 19493.43 11871.98 11589.95 6793.85 28
旧先验191.96 4865.79 12086.37 18693.08 3769.31 4692.74 4288.74 169
testdata79.97 18290.90 6064.21 15984.71 20059.27 24085.40 1692.91 3862.02 12289.08 20768.95 13491.37 5386.63 218
MCST-MVS87.37 1387.25 1187.73 1594.53 772.46 2789.82 4893.82 473.07 10184.86 2892.89 3976.22 496.33 1984.89 1395.13 1894.40 10
Vis-MVSNetpermissive83.46 5082.80 5485.43 4990.25 6868.74 7690.30 4290.13 11576.33 5880.87 6792.89 3961.00 13794.20 7772.45 10990.97 5593.35 45
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
agg_prior386.16 2985.85 3187.10 2693.31 2472.86 1988.77 7191.68 6868.29 16984.26 3692.83 4172.83 2395.42 3884.97 995.71 893.02 54
CPTT-MVS83.73 4783.33 4884.92 6093.28 2670.86 4392.09 1990.38 10168.75 16279.57 7392.83 4160.60 14393.04 13380.92 4191.56 5190.86 103
3Dnovator76.31 583.38 5382.31 5986.59 3587.94 12372.94 1890.64 3392.14 4977.21 3675.47 13992.83 4158.56 15494.72 6673.24 10092.71 4392.13 77
MSLP-MVS85.43 3885.76 3284.45 6991.93 4970.24 4990.71 3292.86 2977.46 3584.22 3792.81 4467.16 5892.94 13580.36 4594.35 3390.16 133
MG-MVS83.41 5183.45 4683.28 9892.74 3762.28 19288.17 9389.50 13175.22 7281.49 6192.74 4566.75 5995.11 4972.85 10291.58 5092.45 67
QAPM80.88 8379.50 9585.03 5588.01 12268.97 7091.59 2392.00 5266.63 18275.15 15192.16 4657.70 15995.45 3663.52 16888.76 7790.66 112
IS-MVSNet83.15 5482.81 5384.18 7789.94 7363.30 17691.59 2388.46 16379.04 2079.49 7492.16 4665.10 7394.28 7367.71 14091.86 4894.95 2
liao80.84 8479.77 8884.05 8193.11 3170.78 4484.66 17685.42 19557.37 25381.76 6092.02 4863.41 8494.12 8067.28 14492.93 4087.26 204
新几何183.42 9393.13 2970.71 4585.48 19457.43 25281.80 5991.98 4963.28 8692.27 15164.60 16692.99 3987.27 203
OpenMVScopyleft72.83 1079.77 11278.33 12484.09 7985.17 16169.91 5390.57 3490.97 8666.70 17872.17 17691.91 5054.70 17893.96 8561.81 18490.95 5688.41 185
PHI-MVS86.43 2486.17 2787.24 2290.88 6170.96 4092.27 1694.07 172.45 11385.22 1991.90 5169.47 4496.42 1883.28 2695.94 394.35 11
VNet82.21 6582.41 5681.62 15590.82 6260.93 19884.47 18189.78 12576.36 5784.07 3991.88 5264.71 7690.26 19270.68 12288.89 7493.66 30
XVG-OURS-SEG-HR80.81 8779.76 8983.96 8585.60 15868.78 7383.54 19990.50 9870.66 13576.71 12691.66 5360.69 14091.26 17376.94 6781.58 14191.83 81
EPNet83.72 4882.92 5286.14 4384.22 17569.48 6191.05 3085.27 19681.30 676.83 12491.65 5466.09 6595.56 3276.00 7493.85 3793.38 43
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
OMC-MVS82.69 6081.97 6584.85 6188.75 10367.42 9787.98 9690.87 8874.92 7479.72 7291.65 5462.19 12093.96 8575.26 8586.42 10193.16 50
test22291.50 5368.26 8684.16 19083.20 21354.63 26479.74 7191.63 5658.97 15291.42 5286.77 214
MVS_111021_HR85.14 4284.75 4286.32 4091.65 5272.70 2185.98 15790.33 10676.11 6082.08 5891.61 5771.36 3394.17 7981.02 3992.58 4492.08 78
原ACMM184.35 7293.01 3368.79 7292.44 3863.96 20681.09 6591.57 5866.06 6695.45 3667.19 14694.82 2588.81 166
LPG-MVS_test82.08 6681.27 7084.50 6789.23 9168.76 7490.22 4391.94 5675.37 6976.64 12891.51 5954.29 18194.91 5878.44 5583.78 12189.83 148
LGP-MVS_train84.50 6789.23 9168.76 7491.94 5675.37 6976.64 12891.51 5954.29 18194.91 5878.44 5583.78 12189.83 148
XVG-OURS80.41 9479.23 10583.97 8485.64 15769.02 6783.03 20290.39 10071.09 13077.63 11191.49 6154.62 18091.35 17175.71 7983.47 12391.54 87
alignmvs85.48 3685.32 3685.96 4589.51 7969.47 6289.74 5192.47 3776.17 5987.73 991.46 6270.32 3793.78 9981.51 3788.95 7394.63 5
nrg03083.88 4583.53 4584.96 5786.77 14769.28 6590.46 3892.67 3474.79 7582.95 5091.33 6372.70 2493.09 13080.79 4379.28 16292.50 66
canonicalmvs85.91 3185.87 3086.04 4489.84 7569.44 6490.45 3993.00 2276.70 5088.01 791.23 6473.28 2093.91 9081.50 3888.80 7694.77 4
EPP-MVSNet83.40 5283.02 5184.57 6590.13 6964.47 15592.32 1590.73 9074.45 7879.35 7691.10 6569.05 4895.12 4872.78 10387.22 9394.13 16
TAPA-MVS73.13 979.15 12577.94 13082.79 12789.59 7862.99 18588.16 9491.51 7365.77 18977.14 12291.09 6660.91 13893.21 12150.26 24487.05 9592.17 76
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CSCG86.41 2686.19 2687.07 2792.91 3472.48 2690.81 3193.56 773.95 8483.16 4991.07 6775.94 595.19 4679.94 4994.38 3293.55 39
FIs82.07 6782.42 5581.04 16888.80 10158.34 21888.26 9193.49 876.93 4378.47 8791.04 6869.92 4192.34 15069.87 12984.97 11192.44 68
MVS_111021_LR82.61 6282.11 6084.11 7888.82 9971.58 3585.15 16986.16 18974.69 7680.47 6991.04 6862.29 11790.55 19080.33 4690.08 6590.20 132
DP-MVS Recon83.11 5682.09 6186.15 4294.44 970.92 4288.79 7092.20 4670.53 13679.17 7791.03 7064.12 7996.03 2568.39 13990.14 6491.50 89
HQP_MVS83.64 4983.14 4985.14 5390.08 7068.71 7791.25 2692.44 3879.12 1878.92 8091.00 7160.42 14595.38 4178.71 5386.32 10291.33 92
plane_prior491.00 71
FC-MVSNet-test81.52 7682.02 6380.03 18188.42 11355.97 24687.95 9893.42 1077.10 3977.38 11490.98 7369.96 4091.79 15768.46 13884.50 11692.33 70
Vis-MVSNet (Re-imp)78.36 13778.45 11878.07 20488.64 10551.78 26286.70 14279.63 24474.14 8275.11 15290.83 7461.29 13289.75 19858.10 21291.60 4992.69 62
114514_t80.68 8979.51 9484.20 7694.09 1867.27 10189.64 5391.11 8458.75 24474.08 16090.72 7558.10 15795.04 5469.70 13089.42 7190.30 130
PAPM_NR83.02 5782.41 5684.82 6292.47 4366.37 11087.93 10091.80 6273.82 8677.32 11690.66 7667.90 5294.90 6070.37 12589.48 7093.19 49
LS3D76.95 16974.82 17583.37 9690.45 6467.36 10089.15 6386.94 17961.87 22469.52 20690.61 7751.71 19994.53 6946.38 25886.71 9988.21 187
VPNet78.69 13378.66 11378.76 19688.31 11555.72 24784.45 18386.63 18276.79 4578.26 9890.55 7859.30 15089.70 19966.63 14977.05 17990.88 102
ACMP74.13 681.51 7880.57 7884.36 7189.42 8168.69 8089.97 4691.50 7574.46 7775.04 15490.41 7953.82 18694.54 6877.56 6082.91 12789.86 147
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PCF-MVS73.52 780.38 9878.84 11185.01 5687.71 13068.99 6983.65 19691.46 7663.00 21177.77 10990.28 8066.10 6495.09 5361.40 18788.22 8790.94 101
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
NP-MVS89.62 7768.32 8590.24 81
HQP-MVS82.61 6282.02 6384.37 7089.33 8366.98 10489.17 5992.19 4776.41 5377.23 11990.23 8260.17 14895.11 4977.47 6185.99 10691.03 97
PS-MVSNAJss82.07 6781.31 6984.34 7386.51 14967.27 10189.27 5791.51 7371.75 12179.37 7590.22 8363.15 9094.27 7477.69 5982.36 13591.49 90
TSAR-MVS85.71 3485.33 3586.84 2991.34 5472.50 2589.07 6487.28 17676.41 5385.80 1490.22 8374.15 1795.37 4381.82 3691.88 4792.65 63
Regformer-186.41 2686.33 2286.64 3389.33 8370.93 4188.43 8091.39 7782.14 386.65 1290.09 8574.39 1395.01 5583.97 2290.63 5993.97 24
Regformer-286.63 2386.53 2186.95 2889.33 8371.24 3788.43 8092.05 5182.50 186.88 1190.09 8574.45 1095.61 3084.38 1890.63 5994.01 22
Regformer-385.23 4185.07 3985.70 4788.95 9569.01 6888.29 8989.91 12380.95 785.01 2090.01 8772.45 2694.19 7882.50 3587.57 8993.90 27
Regformer-485.68 3585.45 3386.35 3788.95 9569.67 5788.29 8991.29 7981.73 485.36 1790.01 8772.62 2595.35 4483.28 2687.57 8994.03 20
TranMVSNet+NR-MVSNet80.84 8480.31 8282.42 13487.85 12562.33 19087.74 10391.33 7880.55 1077.99 10589.86 8965.23 7292.62 14067.05 14875.24 21192.30 71
BH-RMVSNet79.61 11478.44 12083.14 10489.38 8265.93 11684.95 17287.15 17773.56 9078.19 10089.79 9056.67 16693.36 11959.53 20086.74 9890.13 135
AdaColmapbinary80.58 9279.42 9684.06 8093.09 3268.91 7189.36 5688.97 15169.27 15475.70 13889.69 9157.20 16395.77 2863.06 17288.41 8587.50 199
ACMM73.20 880.78 8879.84 8783.58 9089.31 8868.37 8489.99 4591.60 7070.28 13977.25 11789.66 9253.37 18893.53 11274.24 9282.85 12888.85 165
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA78.08 14376.79 14981.97 14290.40 6671.07 3987.59 10684.55 20266.03 18872.38 17589.64 9357.56 16086.04 23059.61 19883.35 12488.79 167
EI-MVSNet-Vis-set84.19 4483.81 4485.31 5088.18 11767.85 9287.66 10489.73 12780.05 1482.95 5089.59 9470.74 3694.82 6380.66 4484.72 11593.28 46
PAPR81.66 7480.89 7583.99 8390.27 6764.00 16586.76 14191.77 6668.84 16177.13 12389.50 9567.63 5494.88 6167.55 14188.52 8393.09 51
jajsoiax79.29 12377.96 12983.27 9984.68 16866.57 10889.25 5890.16 11469.20 15675.46 14089.49 9645.75 22793.13 12876.84 6980.80 14790.11 136
MVSFormer82.85 5982.05 6285.24 5287.35 13770.21 5090.50 3690.38 10168.55 16581.32 6289.47 9761.68 12393.46 11478.98 5190.26 6292.05 79
jason81.39 7980.29 8384.70 6486.63 14869.90 5485.95 15886.77 18063.24 20881.07 6689.47 9761.08 13692.15 15378.33 5890.07 6692.05 79
jason: jason.
mvs_tets79.13 12677.77 13583.22 10184.70 16766.37 11089.17 5990.19 11369.38 15275.40 14389.46 9944.17 23393.15 12676.78 7080.70 14990.14 134
UGNet80.83 8679.59 9084.54 6688.04 12068.09 8989.42 5588.16 16476.95 4276.22 13189.46 9949.30 20993.94 8768.48 13790.31 6191.60 85
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
VPA-MVSNet80.60 9080.55 7980.76 17288.07 11960.80 20186.86 13591.58 7175.67 6580.24 7089.45 10163.34 8590.25 19370.51 12479.22 16391.23 95
MVS_Test83.15 5483.06 5083.41 9586.86 14463.21 17986.11 15592.00 5274.31 7982.87 5289.44 10270.03 3993.21 12177.39 6388.50 8493.81 29
EI-MVSNet-UG-set83.81 4683.38 4785.09 5487.87 12467.53 9687.44 11589.66 12879.74 1582.23 5789.41 10370.24 3894.74 6579.95 4883.92 12092.99 57
RPSCF73.23 20071.46 19978.54 19982.50 22459.85 20682.18 20682.84 21758.96 24171.15 18789.41 10345.48 22984.77 23758.82 20571.83 23391.02 99
UniMVSNet_NR-MVSNet81.88 7081.54 6882.92 11788.46 11163.46 17287.13 12692.37 4280.19 1278.38 9189.14 10571.66 3193.05 13170.05 12676.46 19492.25 73
DU-MVS81.12 8180.52 8082.90 11887.80 12763.46 17287.02 13191.87 6079.01 2178.38 9189.07 10665.02 7493.05 13170.05 12676.46 19492.20 74
NR-MVSNet80.23 10279.38 9782.78 12887.80 12763.34 17586.31 15091.09 8579.01 2172.17 17689.07 10667.20 5792.81 13866.08 15475.65 20392.20 74
DELS-MVS85.41 3985.30 3785.77 4688.49 10967.93 9185.52 16793.44 978.70 2383.63 4689.03 10874.57 995.71 2980.26 4794.04 3693.66 30
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
DP-MVS76.78 17174.57 17783.42 9393.29 2569.46 6388.55 7983.70 20963.98 20570.20 19488.89 10954.01 18594.80 6446.66 25581.88 13986.01 226
ab-mvs79.51 11678.97 11081.14 16688.46 11160.91 19983.84 19489.24 14070.36 13879.03 7888.87 11063.23 8990.21 19465.12 16082.57 13392.28 72
PEN-MVS77.73 15277.69 13777.84 20687.07 14253.91 25587.91 10191.18 8277.56 3273.14 16688.82 11161.23 13389.17 20659.95 19572.37 22990.43 126
test_djsdf80.30 10079.32 9983.27 9983.98 19065.37 12990.50 3690.38 10168.55 16576.19 13288.70 11256.44 16793.46 11478.98 5180.14 15790.97 100
PAPM77.68 15476.40 15281.51 15887.29 13961.85 19583.78 19589.59 12964.74 19671.23 18688.70 11262.59 11093.66 10952.66 23687.03 9689.01 161
DTE-MVSNet76.99 16876.80 14877.54 21186.24 15153.06 25987.52 11290.66 9377.08 4072.50 17288.67 11460.48 14489.52 20157.33 21870.74 23990.05 143
PS-CasMVS78.01 14578.09 12777.77 20887.71 13054.39 25388.02 9591.22 8077.50 3473.26 16488.64 11560.73 13988.41 21661.88 18273.88 22290.53 122
cdsmvs_eth3d_5k19.96 27826.61 2780.00 2920.00 3090.00 3090.00 29889.26 1390.00 3030.00 30488.61 11661.62 1250.00 3010.00 3000.00 3030.00 301
lupinMVS81.39 7980.27 8484.76 6387.35 13770.21 5085.55 16586.41 18462.85 21481.32 6288.61 11661.68 12392.24 15278.41 5790.26 6291.83 81
F-COLMAP76.38 17574.33 18182.50 13389.28 8966.95 10688.41 8389.03 14364.05 20366.83 23388.61 11646.78 22092.89 13657.48 21578.55 16487.67 194
mvs_anonymous79.42 12179.11 10780.34 17684.45 17157.97 22382.59 20387.62 17367.40 17776.17 13588.56 11968.47 5089.59 20070.65 12386.05 10593.47 42
CP-MVSNet78.22 13878.34 12377.84 20687.83 12654.54 25187.94 9991.17 8377.65 2873.48 16388.49 12062.24 11988.43 21562.19 17974.07 21890.55 121
PVSNet_Blended_VisFu82.62 6181.83 6684.96 5790.80 6369.76 5688.74 7491.70 6769.39 15078.96 7988.46 12165.47 7094.87 6274.42 8988.57 8190.24 131
PLCcopyleft70.83 1178.05 14476.37 15383.08 10791.88 5167.80 9388.19 9289.46 13364.33 20169.87 20488.38 12253.66 18793.58 11058.86 20482.73 13087.86 192
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
WR-MVS79.49 11879.22 10680.27 17988.79 10258.35 21785.06 17088.61 16178.56 2477.65 11088.34 12363.81 8390.66 18964.98 16377.22 17791.80 84
XXY-MVS75.41 18575.56 17074.96 22983.59 19957.82 22680.59 21983.87 20866.54 18374.93 15588.31 12463.24 8880.09 25362.16 18076.85 18686.97 211
API-MVS81.99 6981.23 7184.26 7590.94 5970.18 5291.10 2989.32 13571.51 12778.66 8488.28 12565.26 7195.10 5264.74 16591.23 5487.51 198
UniMVSNet (Re)81.60 7581.11 7383.09 10688.38 11464.41 15787.60 10593.02 2178.42 2678.56 8588.16 12669.78 4293.26 12069.58 13176.49 19391.60 85
LTVRE_ROB69.57 1376.25 17674.54 17981.41 16088.60 10664.38 15879.24 22789.12 14270.76 13469.79 20587.86 12749.09 21093.20 12356.21 22380.16 15586.65 217
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
WTY-MVS75.65 18375.68 16975.57 22686.40 15056.82 23377.92 23882.40 22065.10 19476.18 13387.72 12863.13 9380.90 24960.31 19481.96 13789.00 163
TAMVS78.89 13177.51 13983.03 11087.80 12767.79 9484.72 17585.05 19967.63 17276.75 12587.70 12962.25 11890.82 18658.53 20887.13 9490.49 123
BH-untuned79.47 11978.60 11482.05 14089.19 9365.91 11786.07 15688.52 16272.18 11775.42 14287.69 13061.15 13493.54 11160.38 19386.83 9786.70 216
COLMAP_ROBcopyleft66.92 1773.01 20270.41 20980.81 17187.13 14165.63 12188.30 8884.19 20662.96 21263.80 25287.69 13038.04 25892.56 14346.66 25574.91 21284.24 240
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
OurMVSNet-221017-074.26 19072.42 19479.80 18483.76 19759.59 20785.92 16086.64 18166.39 18466.96 23287.58 13239.46 25391.60 16865.76 15769.27 24288.22 186
Baseline_NR-MVSNet78.15 14278.33 12477.61 21085.79 15456.21 24486.78 13985.76 19373.60 8977.93 10687.57 13365.02 7488.99 20867.14 14775.33 20987.63 195
WR-MVS_H78.51 13478.49 11778.56 19888.02 12156.38 24188.43 8092.67 3477.14 3773.89 16187.55 13466.25 6389.24 20558.92 20373.55 22490.06 142
EI-MVSNet80.52 9379.98 8682.12 13884.28 17263.19 18186.41 14888.95 15374.18 8178.69 8287.54 13566.62 6092.43 14572.57 10880.57 15190.74 107
CVMVSNet72.99 20372.58 19274.25 23684.28 17250.85 26886.41 14883.45 21144.56 28173.23 16587.54 13549.38 20785.70 23265.90 15578.44 16786.19 221
diffmvs79.51 11678.59 11582.25 13783.31 20562.66 18784.17 18988.11 16567.64 17176.09 13687.47 13764.01 8091.15 17671.71 11884.82 11492.94 58
ACMH+68.96 1476.01 17974.01 18382.03 14188.60 10665.31 13188.86 6787.55 17470.25 14067.75 22587.47 13741.27 24793.19 12458.37 20975.94 19987.60 196
TransMVSNet (Re)75.39 18674.56 17877.86 20585.50 15957.10 23186.78 13986.09 19172.17 11871.53 18587.34 13963.01 9489.31 20456.84 22061.83 27087.17 206
GBi-Net78.40 13577.40 14081.40 16187.60 13263.01 18288.39 8489.28 13671.63 12375.34 14587.28 14054.80 17591.11 17762.72 17379.57 15890.09 138
test178.40 13577.40 14081.40 16187.60 13263.01 18288.39 8489.28 13671.63 12375.34 14587.28 14054.80 17591.11 17762.72 17379.57 15890.09 138
FMVSNet278.20 14077.21 14381.20 16487.60 13262.89 18687.47 11489.02 14471.63 12375.29 14987.28 14054.80 17591.10 18062.38 17779.38 16189.61 154
FMVSNet177.44 16476.12 16081.40 16186.81 14663.01 18288.39 8489.28 13670.49 13774.39 15987.28 14049.06 21191.11 17760.91 19078.52 16590.09 138
v2v48280.23 10279.29 10383.05 10983.62 19864.14 16087.04 13089.97 12073.61 8878.18 10187.22 14461.10 13593.82 9676.11 7276.78 19191.18 96
ITE_SJBPF78.22 20381.77 23060.57 20283.30 21269.25 15567.54 22787.20 14536.33 26487.28 22254.34 22774.62 21486.80 213
MVSTER79.01 12877.88 13182.38 13583.07 21164.80 14284.08 19388.95 15369.01 15978.69 8287.17 14654.70 17892.43 14574.69 8880.57 15189.89 146
XVG-ACMP-BASELINE76.11 17874.27 18281.62 15583.20 20864.67 14483.60 19889.75 12669.75 14671.85 18187.09 14732.78 26992.11 15469.99 12880.43 15488.09 189
HY-MVS69.67 1277.95 14777.15 14480.36 17587.57 13660.21 20583.37 20187.78 17166.11 18575.37 14487.06 14863.27 8790.48 19161.38 18882.43 13490.40 128
HyFIR77.63 15775.69 16883.44 9289.98 7268.58 8278.70 23287.50 17556.38 25875.80 13786.84 14958.67 15391.40 17061.58 18685.75 10990.34 129
v879.97 10979.02 10982.80 12584.09 18464.50 15387.96 9790.29 10974.13 8375.24 15086.81 15062.88 9593.89 9274.39 9075.40 20890.00 144
AllTest70.96 21468.09 22579.58 18885.15 16263.62 16884.58 18079.83 24262.31 22060.32 26086.73 15132.02 27088.96 21150.28 24271.57 23586.15 222
TestCases79.58 18885.15 16263.62 16879.83 24262.31 22060.32 26086.73 15132.02 27088.96 21150.28 24271.57 23586.15 222
LCM-MVSNet-Re77.05 16776.94 14677.36 21287.20 14051.60 26380.06 22180.46 23675.20 7367.69 22686.72 15362.48 11488.98 20963.44 16989.25 7291.51 88
1112_ss77.40 16676.43 15180.32 17789.11 9460.41 20483.65 19687.72 17262.13 22273.05 16786.72 15362.58 11189.97 19662.11 18180.80 14790.59 117
ab-mvs-re7.23 2819.64 2820.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 30486.72 1530.00 3060.00 3010.00 3000.00 3030.00 301
IterMVS-LS80.06 10779.38 9782.11 13985.89 15363.20 18086.79 13889.34 13474.19 8075.45 14186.72 15366.62 6092.39 14772.58 10776.86 18590.75 106
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH67.68 1675.89 18073.93 18481.77 14688.71 10466.61 10788.62 7689.01 14669.81 14466.78 23486.70 15741.95 24691.51 16955.64 22478.14 17087.17 206
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Test_1112_low_res76.40 17475.44 17179.27 19089.28 8958.09 22081.69 21087.07 17859.53 23972.48 17386.67 15861.30 13189.33 20360.81 19280.15 15690.41 127
FMVSNet377.88 15076.85 14780.97 16986.84 14562.36 18986.52 14588.77 16071.13 12875.34 14586.66 15954.07 18491.10 18062.72 17379.57 15889.45 155
v1neww80.40 9579.54 9182.98 11384.10 18264.51 15087.57 10790.22 11073.25 9478.47 8786.65 16062.83 9893.86 9375.72 7777.02 18090.58 118
v7new80.40 9579.54 9182.98 11384.10 18264.51 15087.57 10790.22 11073.25 9478.47 8786.65 16062.83 9893.86 9375.72 7777.02 18090.58 118
v680.40 9579.54 9182.98 11384.09 18464.50 15387.57 10790.22 11073.25 9478.47 8786.63 16262.84 9793.86 9375.73 7677.02 18090.58 118
testgi66.67 24066.53 23667.08 26175.62 27141.69 28675.93 24576.50 25766.11 18565.20 24686.59 16335.72 26674.71 27243.71 26473.38 22584.84 236
CLD-MVS82.31 6481.65 6784.29 7488.47 11067.73 9585.81 16392.35 4375.78 6278.33 9386.58 16464.01 8094.35 7176.05 7387.48 9190.79 104
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
v1079.74 11378.67 11282.97 11684.06 18964.95 13987.88 10290.62 9473.11 10075.11 15286.56 16561.46 12794.05 8373.68 9575.55 20589.90 145
CDS-MVSNet79.07 12777.70 13683.17 10287.60 13268.23 8784.40 18686.20 18867.49 17576.36 13086.54 16661.54 12690.79 18761.86 18387.33 9290.49 123
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v780.24 10179.26 10483.15 10384.07 18864.94 14087.56 11090.67 9172.26 11678.28 9486.51 16761.45 12894.03 8475.14 8677.41 17490.49 123
TR-MVS77.44 16476.18 15981.20 16488.24 11663.24 17884.61 17986.40 18567.55 17477.81 10786.48 16854.10 18393.15 12657.75 21482.72 13187.20 205
v114180.19 10479.31 10082.85 12183.84 19364.12 16287.14 12390.08 11773.13 9778.27 9586.39 16962.67 10793.75 10375.40 8376.83 18890.68 109
divwei89l23v2f11280.19 10479.31 10082.85 12183.84 19364.11 16487.13 12690.08 11773.13 9778.27 9586.39 16962.69 10593.75 10375.40 8376.82 18990.68 109
v180.19 10479.31 10082.85 12183.83 19564.12 16287.14 12390.07 11973.13 9778.27 9586.38 17162.72 10493.75 10375.41 8276.82 18990.68 109
v7n78.97 13077.58 13883.14 10483.45 20265.51 12488.32 8791.21 8173.69 8772.41 17486.32 17257.93 15893.81 9769.18 13375.65 20390.11 136
MAR-MVS81.84 7180.70 7685.27 5191.32 5571.53 3689.82 4890.92 8769.77 14578.50 8686.21 17362.36 11694.52 7065.36 15992.05 4689.77 151
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
v114480.03 10879.03 10883.01 11183.78 19664.51 15087.11 12890.57 9671.96 12078.08 10486.20 17461.41 12993.94 8774.93 8777.23 17690.60 115
V4279.38 12278.24 12682.83 12481.10 23865.50 12585.55 16589.82 12471.57 12678.21 9986.12 17560.66 14193.18 12575.64 8075.46 20789.81 150
PVSNet_BlendedMVS80.60 9080.02 8582.36 13688.85 9765.40 12686.16 15392.00 5269.34 15378.11 10286.09 17666.02 6794.27 7471.52 11982.06 13687.39 200
v119279.59 11578.43 12183.07 10883.55 20064.52 14886.93 13390.58 9570.83 13277.78 10885.90 17759.15 15193.94 8773.96 9477.19 17890.76 105
SixPastTwentyTwo73.37 19671.26 20379.70 18585.08 16457.89 22585.57 16483.56 21071.03 13165.66 24185.88 17842.10 24492.57 14259.11 20263.34 26788.65 171
EPNet_dtu75.46 18474.86 17477.23 21582.57 22354.60 25086.89 13483.09 21471.64 12266.25 23985.86 17955.99 16988.04 21854.92 22586.55 10089.05 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
sss73.60 19473.64 18673.51 23982.80 21855.01 24976.12 24481.69 22762.47 21974.68 15785.85 18057.32 16178.11 26160.86 19180.93 14587.39 200
DI_MVS_test_dynamic79.89 11078.58 11683.85 8782.89 21765.32 13086.12 15489.55 13069.64 14970.55 19085.82 18157.24 16293.81 9776.85 6888.55 8292.41 69
v124078.99 12977.78 13482.64 13283.21 20763.54 17086.62 14390.30 10869.74 14877.33 11585.68 18257.04 16593.76 10273.13 10176.92 18390.62 113
v14419279.47 11978.37 12282.78 12883.35 20363.96 16686.96 13290.36 10469.99 14277.50 11285.67 18360.66 14193.77 10174.27 9176.58 19290.62 113
DI_MVS_test_normal79.81 11178.45 11883.89 8682.70 22165.40 12685.82 16289.48 13269.39 15070.12 19785.66 18457.15 16493.71 10877.08 6588.62 8092.56 65
PS-MVSNAJ81.69 7381.02 7483.70 8889.51 7968.21 8884.28 18890.09 11670.79 13381.26 6485.62 18563.15 9094.29 7275.62 8188.87 7588.59 178
v74877.97 14676.65 15081.92 14482.29 22663.28 17787.53 11190.35 10573.50 9270.76 18985.55 18658.28 15692.81 13868.81 13672.76 22889.67 153
v192192079.22 12478.03 12882.80 12583.30 20663.94 16786.80 13790.33 10669.91 14377.48 11385.53 18758.44 15593.75 10373.60 9876.85 18690.71 108
test_040272.79 20570.44 20879.84 18388.13 11865.99 11585.93 15984.29 20465.57 19167.40 22985.49 18846.92 21992.61 14135.88 27574.38 21780.94 260
v14878.72 13277.80 13381.47 15982.73 22061.96 19486.30 15188.08 16773.26 9376.18 13385.47 18962.46 11592.36 14971.92 11773.82 22390.09 138
USDC70.33 22168.37 22076.21 22280.60 24256.23 24379.19 22986.49 18360.89 22861.29 25685.47 18931.78 27289.47 20253.37 23276.21 19782.94 253
MVP-PatchMatch76.12 17774.46 18081.13 16785.37 16069.79 5584.42 18587.95 16965.03 19567.46 22885.33 19153.28 18991.73 16058.01 21383.27 12581.85 257
HC-MVS78.19 14176.99 14581.78 14585.66 15666.99 10384.66 17690.47 9955.08 26372.02 18085.27 19263.83 8294.11 8266.10 15389.80 6884.24 240
TDRefinement67.49 23464.34 24076.92 21673.47 27761.07 19784.86 17482.98 21559.77 23758.30 26585.13 19326.06 27787.89 21947.92 25360.59 27481.81 258
PVSNet_Blended80.98 8280.34 8182.90 11888.85 9765.40 12684.43 18492.00 5267.62 17378.11 10285.05 19466.02 6794.27 7471.52 11989.50 6989.01 161
V477.95 14776.37 15382.67 13079.40 25465.52 12286.43 14689.94 12172.28 11472.14 17984.95 19555.72 17093.44 11673.64 9672.86 22689.05 159
v5277.94 14976.37 15382.67 13079.39 25565.52 12286.43 14689.94 12172.28 11472.15 17884.94 19655.70 17193.44 11673.64 9672.84 22789.06 158
CMPMVSbinary51.72 2170.19 22268.16 22376.28 22173.15 27857.55 22879.47 22683.92 20748.02 27956.48 27184.81 19743.13 23686.42 22862.67 17681.81 14084.89 235
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
EU-MVSNet68.53 23167.61 23271.31 24978.51 26047.01 27784.47 18184.27 20542.27 28266.44 23884.79 19840.44 25183.76 23858.76 20668.54 24883.17 247
BH-w/o78.21 13977.33 14280.84 17088.81 10065.13 13684.87 17387.85 17069.75 14674.52 15884.74 19961.34 13093.11 12958.24 21185.84 10884.27 239
liao176.53 17375.30 17280.21 18083.93 19162.32 19184.66 17688.81 15960.23 23370.16 19684.07 20055.30 17490.73 18867.37 14383.21 12687.59 197
EG-PatchMatch MVS74.04 19171.82 19780.71 17384.92 16567.42 9785.86 16188.08 16766.04 18764.22 24983.85 20135.10 26792.56 14357.44 21680.83 14682.16 256
test20.0367.45 23566.95 23368.94 25575.48 27344.84 27977.50 23977.67 25166.66 17963.01 25483.80 20247.02 21878.40 25942.53 26768.86 24683.58 244
Test477.83 15175.90 16783.62 8980.24 24565.25 13285.27 16890.67 9169.03 15866.48 23783.75 20343.07 23793.00 13475.93 7588.66 7992.62 64
MSDG73.36 19870.99 20580.49 17484.51 17065.80 11980.71 21686.13 19065.70 19065.46 24283.74 20444.60 23090.91 18551.13 24076.89 18484.74 237
IterMVS74.29 18972.94 19078.35 20281.53 23263.49 17181.58 21282.49 21968.06 17069.99 20183.69 20551.66 20085.54 23365.85 15671.64 23486.01 226
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
tpm72.37 20871.71 19874.35 23582.19 22752.00 26079.22 22877.29 25464.56 19872.95 16883.68 20651.35 20183.26 24358.33 21075.80 20187.81 193
pm-mvs170.87 21569.03 21576.39 22079.41 25358.92 21380.64 21878.89 24755.71 26067.14 23183.58 20748.48 21385.25 23552.94 23574.48 21684.99 234
TinyColmap67.30 23764.81 23974.76 23281.92 22956.68 23780.29 22081.49 22960.33 23156.27 27283.22 20824.77 27987.66 22145.52 26069.47 24179.95 264
CostFormer75.24 18773.90 18579.27 19082.65 22258.27 21980.80 21482.73 21861.57 22575.33 14883.13 20955.52 17291.07 18364.98 16378.34 16988.45 183
GA-MVS76.87 17075.17 17381.97 14282.75 21962.58 18881.44 21386.35 18772.16 11974.74 15682.89 21046.20 22292.02 15568.85 13581.09 14491.30 94
K. test v371.19 21268.51 21979.21 19283.04 21357.78 22784.35 18776.91 25672.90 10562.99 25582.86 21139.27 25491.09 18261.65 18552.66 28288.75 168
MS-PatchMatch73.83 19272.67 19177.30 21483.87 19266.02 11481.82 20884.66 20161.37 22768.61 21982.82 21247.29 21688.21 21759.27 20184.32 11877.68 270
lessismore_v078.97 19481.01 23957.15 23065.99 28861.16 25782.82 21239.12 25591.34 17259.67 19746.92 28688.43 184
Anonymous2023120668.60 22967.80 23071.02 25080.23 24650.75 26978.30 23680.47 23556.79 25666.11 24082.63 21446.35 22178.95 25743.62 26575.70 20283.36 246
MIMVSNet70.69 21769.30 21274.88 23084.52 16956.35 24275.87 24879.42 24564.59 19767.76 22482.41 21541.10 24881.54 24846.64 25781.34 14286.75 215
OpenMVS_ROBcopyleft64.09 1970.56 21968.19 22277.65 20980.26 24459.41 21185.01 17182.96 21658.76 24365.43 24382.33 21637.63 26191.23 17545.34 26276.03 19882.32 254
test0.0.03 168.00 23367.69 23168.90 25677.55 26147.43 27575.70 24972.95 27666.66 17966.56 23582.29 21748.06 21475.87 26944.97 26374.51 21583.41 245
PVSNet64.34 1872.08 20970.87 20775.69 22586.21 15256.44 24074.37 25680.73 23362.06 22370.17 19582.23 21842.86 23983.31 24254.77 22684.45 11787.32 202
MIMVSNet168.58 23066.78 23473.98 23880.07 24751.82 26180.77 21584.37 20364.40 20059.75 26282.16 21936.47 26383.63 24042.73 26670.33 24086.48 219
v1677.69 15376.36 15681.68 15284.15 17964.63 14787.33 11788.99 14872.69 11169.31 21182.08 22062.80 10191.79 15772.70 10567.23 24988.63 172
v1777.68 15476.35 15781.69 15184.15 17964.65 14587.33 11788.99 14872.70 11069.25 21282.07 22162.82 10091.79 15772.69 10667.15 25188.63 172
v1877.67 15676.35 15781.64 15484.09 18464.47 15587.27 12089.01 14672.59 11269.39 20882.04 22262.85 9691.80 15672.72 10467.20 25088.63 172
tpm273.26 19971.46 19978.63 19783.34 20456.71 23680.65 21780.40 23756.63 25773.55 16282.02 22351.80 19891.24 17456.35 22278.42 16887.95 190
PatchMatch-RL72.38 20770.90 20676.80 21888.60 10667.38 9979.53 22576.17 25862.75 21669.36 20982.00 22445.51 22884.89 23653.62 23180.58 15078.12 268
v1377.50 16276.07 16581.77 14684.23 17465.07 13787.34 11688.91 15872.92 10368.35 22281.97 22562.53 11391.69 16672.20 11466.22 25988.56 180
v1277.51 16076.09 16481.76 14884.22 17564.99 13887.30 11988.93 15772.92 10368.48 22181.97 22562.54 11291.70 16572.24 11366.21 26088.58 179
V977.52 15876.11 16381.73 14984.19 17864.89 14187.26 12188.94 15672.87 10668.65 21781.96 22762.65 10891.72 16272.27 11266.24 25888.60 176
V1477.52 15876.12 16081.70 15084.15 17964.77 14387.21 12288.95 15372.80 10768.79 21481.94 22862.69 10591.72 16272.31 11166.27 25788.60 176
v1577.51 16076.12 16081.66 15384.09 18464.65 14587.14 12388.96 15272.76 10868.90 21381.91 22962.74 10391.73 16072.32 11066.29 25688.61 175
v1177.45 16376.06 16681.59 15784.22 17564.52 14887.11 12889.02 14472.76 10868.76 21581.90 23062.09 12191.71 16471.98 11566.73 25288.56 180
Patchmatch-RL test68.82 22866.60 23575.47 22877.43 26259.57 20871.16 26170.33 28062.94 21368.65 21781.66 23131.06 27385.49 23469.58 13166.58 25481.34 259
tpmp4_e2373.45 19571.17 20480.31 17883.55 20059.56 20981.88 20782.33 22157.94 24970.51 19281.62 23251.19 20391.63 16753.96 22977.51 17389.75 152
FMVSNet569.50 22567.96 22674.15 23782.97 21455.35 24880.01 22282.12 22462.56 21863.02 25381.53 23336.92 26281.92 24648.42 25074.06 21985.17 233
CR-MVSNet73.37 19671.27 20279.67 18681.32 23665.19 13475.92 24680.30 23859.92 23672.73 17081.19 23452.50 19086.69 22459.84 19677.71 17187.11 209
Patchmtry70.74 21669.16 21475.49 22780.72 24054.07 25474.94 25580.30 23858.34 24570.01 19881.19 23452.50 19086.54 22653.37 23271.09 23785.87 228
testing_275.73 18273.34 18882.89 12077.37 26365.22 13384.10 19290.54 9769.09 15760.46 25981.15 23640.48 25092.84 13776.36 7180.54 15390.60 115
IB-MVS68.01 1575.85 18173.36 18783.31 9784.76 16666.03 11383.38 20085.06 19870.21 14169.40 20781.05 23745.76 22694.66 6765.10 16175.49 20689.25 157
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
cascas76.72 17274.64 17682.99 11285.78 15565.88 11882.33 20589.21 14160.85 22972.74 16981.02 23847.28 21793.75 10367.48 14285.02 11089.34 156
LF4IMVS64.02 24762.19 24869.50 25470.90 28253.29 25876.13 24377.18 25552.65 27258.59 26380.98 23923.55 28076.52 26753.06 23466.66 25378.68 267
gm-plane-assit81.40 23353.83 25662.72 21780.94 24092.39 14763.40 170
UnsupCasMVSNet_eth67.33 23665.99 23771.37 24673.48 27651.47 26575.16 25185.19 19765.20 19360.78 25880.93 24142.35 24177.20 26557.12 21953.69 28185.44 229
MDTV_nov1_ep1369.97 21183.18 20953.48 25777.10 24280.18 24160.45 23069.33 21080.44 24248.89 21286.90 22351.60 23878.51 166
pmmvs-eth3d70.50 22067.83 22978.52 20077.37 26366.18 11281.82 20881.51 22858.90 24263.90 25180.42 24342.69 24086.28 22958.56 20765.30 26383.11 249
PM-MVS66.41 24164.14 24173.20 24073.92 27456.45 23978.97 23064.96 29163.88 20764.72 24780.24 24419.84 28683.44 24166.24 15064.52 26579.71 265
Patchmatch-test178.56 25958.71 21564.97 28373.71 27370.00 20080.13 24533.36 26865.60 261
tpmrst72.39 20672.13 19573.18 24180.54 24349.91 27179.91 22379.08 24663.11 20971.69 18379.95 24655.32 17382.77 24465.66 15873.89 22186.87 212
DSMNet-mixed57.77 25656.90 25660.38 26967.70 28835.61 29369.18 27053.97 29432.30 29357.49 26879.88 24740.39 25268.57 28638.78 27272.37 22976.97 273
MDA-MVSNet-bldmvs66.68 23963.66 24275.75 22479.28 25660.56 20373.92 25778.35 24964.43 19950.13 28279.87 24844.02 23483.67 23946.10 25956.86 27683.03 251
PatchmatchNetpermissive73.12 20171.33 20178.49 20183.18 20960.85 20079.63 22478.57 24864.13 20271.73 18279.81 24951.20 20285.97 23157.40 21776.36 19688.66 170
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
EPMVS69.02 22768.16 22371.59 24479.61 25149.80 27277.40 24066.93 28762.82 21570.01 19879.05 25045.79 22577.86 26356.58 22175.26 21087.13 208
PMMVS69.34 22668.67 21871.35 24875.67 27062.03 19375.17 25073.46 27450.00 27768.68 21679.05 25052.07 19678.13 26061.16 18982.77 12973.90 277
test-LLR72.94 20472.43 19374.48 23381.35 23458.04 22178.38 23377.46 25266.66 17969.95 20279.00 25248.06 21479.24 25566.13 15184.83 11286.15 222
test-mter71.41 21170.39 21074.48 23381.35 23458.04 22178.38 23377.46 25260.32 23269.95 20279.00 25236.08 26579.24 25566.13 15184.83 11286.15 222
DWT-MVSNet_test73.70 19371.86 19679.21 19282.91 21658.94 21282.34 20482.17 22365.21 19271.05 18878.31 25444.21 23290.17 19563.29 17177.28 17588.53 182
tpmvs71.09 21369.29 21376.49 21982.04 22856.04 24578.92 23181.37 23064.05 20367.18 23078.28 25549.74 20689.77 19749.67 24772.37 22983.67 243
PatchFormer-LS_test74.50 18873.05 18978.86 19582.95 21559.55 21081.65 21182.30 22267.44 17671.62 18478.15 25652.34 19288.92 21365.05 16275.90 20088.12 188
MDA-MVSNet_test_wron65.03 24462.92 24471.37 24675.93 26756.73 23469.09 27274.73 26757.28 25454.03 27577.89 25745.88 22374.39 27449.89 24661.55 27182.99 252
YYNet165.03 24462.91 24571.38 24575.85 26856.60 23869.12 27174.66 27057.28 25454.12 27477.87 25845.85 22474.48 27349.95 24561.52 27283.05 250
tpm cat170.57 21868.31 22177.35 21382.41 22557.95 22478.08 23780.22 24052.04 27368.54 22077.66 25952.00 19787.84 22051.77 23772.07 23286.25 220
dp66.80 23865.43 23870.90 25179.74 25048.82 27475.12 25374.77 26659.61 23864.08 25077.23 26042.89 23880.72 25048.86 24966.58 25483.16 248
TESTMET0.1,169.89 22469.00 21672.55 24279.27 25756.85 23278.38 23374.71 26857.64 25068.09 22377.19 26137.75 25976.70 26663.92 16784.09 11984.10 242
PatchT68.46 23267.85 22870.29 25280.70 24143.93 28172.47 25974.88 26460.15 23470.55 19076.57 26249.94 20581.59 24750.58 24174.83 21385.34 230
RPMNet71.62 21068.94 21779.67 18681.32 23665.19 13475.92 24678.30 25057.60 25172.73 17076.45 26352.30 19386.69 22448.14 25277.71 17187.11 209
ADS-MVSNet266.20 24363.33 24374.82 23179.92 24858.75 21467.55 27775.19 26253.37 26965.25 24475.86 26442.32 24280.53 25141.57 26868.91 24485.18 231
ADS-MVSNet64.36 24662.88 24668.78 25879.92 24847.17 27667.55 27771.18 27953.37 26965.25 24475.86 26442.32 24273.99 27641.57 26868.91 24485.18 231
N_pmnet52.79 26253.26 26051.40 27978.99 2587.68 30669.52 2683.89 30351.63 27557.01 27074.98 26640.83 24965.96 28937.78 27364.67 26480.56 263
111157.11 25756.82 25857.97 27269.10 28428.28 29868.90 27374.54 27154.01 26653.71 27674.51 26723.09 28167.90 28732.28 28061.26 27377.73 269
.test124545.55 26850.02 26432.14 28569.10 28428.28 29868.90 27374.54 27154.01 26653.71 27674.51 26723.09 28167.90 28732.28 2800.02 3000.25 299
testus59.00 25357.91 25262.25 26872.25 27939.09 28969.74 26675.02 26353.04 27157.21 26973.72 26918.76 28870.33 28332.86 27868.57 24777.35 271
Patchmatch-test75.77 26936.09 29272.41 270
FPMVS53.68 26151.64 26159.81 27065.08 28951.03 26769.48 26969.58 28341.46 28340.67 28672.32 27116.46 29070.00 28424.24 29065.42 26258.40 286
UnsupCasMVSNet_bld63.70 24861.53 24970.21 25373.69 27551.39 26672.82 25881.89 22555.63 26157.81 26671.80 27238.67 25678.61 25849.26 24852.21 28380.63 261
test123567858.74 25456.89 25764.30 26369.70 28341.87 28571.05 26274.87 26554.06 26550.63 28171.53 27325.30 27874.10 27531.80 28363.10 26876.93 274
test235659.50 25158.08 25163.74 26571.23 28141.88 28467.59 27672.42 27853.72 26857.65 26770.74 27426.31 27672.40 27932.03 28271.06 23876.93 274
PVSNet_057.27 2061.67 24959.27 25068.85 25779.61 25157.44 22968.01 27573.44 27555.93 25958.54 26470.41 27544.58 23177.55 26447.01 25435.91 28871.55 279
LP61.36 25057.78 25372.09 24375.54 27258.53 21667.16 27975.22 26151.90 27454.13 27369.97 27637.73 26080.45 25232.74 27955.63 27877.29 272
pmmvs357.79 25554.26 25968.37 25964.02 29056.72 23575.12 25365.17 28940.20 28452.93 27869.86 27720.36 28475.48 27145.45 26155.25 28072.90 278
testpf56.51 25857.58 25553.30 27671.99 28041.19 28746.89 29369.32 28558.06 24752.87 27969.45 27827.99 27572.73 27859.59 19962.07 26945.98 290
testmv53.85 26051.03 26262.31 26761.46 29238.88 29070.95 26574.69 26951.11 27641.26 28566.85 27914.28 29172.13 28029.19 28549.51 28575.93 276
test1235649.28 26748.51 26751.59 27862.06 29119.11 30360.40 28672.45 27747.60 28040.64 28765.68 28013.84 29268.72 28527.29 28746.67 28766.94 282
new_pmnet50.91 26550.29 26352.78 27768.58 28734.94 29663.71 28456.63 29339.73 28544.95 28365.47 28121.93 28358.48 29134.98 27656.62 27764.92 283
HyFIR lowres test51.79 26350.01 26557.11 27368.82 28649.21 27360.50 28553.26 29534.52 28943.77 28464.94 28220.34 28571.75 28139.87 27064.06 26650.39 287
gg-mvs-nofinetune69.95 22367.96 22675.94 22383.07 21154.51 25277.23 24170.29 28163.11 20970.32 19362.33 28343.62 23588.69 21453.88 23087.76 8884.62 238
JIA-IIPM66.32 24262.82 24776.82 21777.09 26561.72 19665.34 28175.38 26058.04 24864.51 24862.32 28442.05 24586.51 22751.45 23969.22 24382.21 255
LCM-MVSNet54.25 25949.68 26667.97 26053.73 29745.28 27866.85 28080.78 23235.96 28839.45 28862.23 2858.70 29778.06 26248.24 25151.20 28480.57 262
PMMVS240.82 27138.86 27246.69 28153.84 29616.45 30448.61 29249.92 29737.49 28731.67 29060.97 2868.14 29856.42 29228.42 28630.72 28967.19 281
MVS-HIRNet59.14 25257.67 25463.57 26681.65 23143.50 28271.73 26065.06 29039.59 28651.43 28057.73 28738.34 25782.58 24539.53 27173.95 22064.62 284
ANet_high50.57 26646.10 26863.99 26448.67 30139.13 28870.99 26480.85 23161.39 22631.18 29157.70 28817.02 28973.65 27731.22 28415.89 29779.18 266
PMVScopyleft37.38 2244.16 27040.28 27155.82 27440.82 30442.54 28365.12 28263.99 29234.43 29024.48 29357.12 2893.92 29976.17 26817.10 29355.52 27948.75 288
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
no-one51.08 26445.79 26966.95 26257.92 29550.49 27059.63 28876.04 25948.04 27831.85 28956.10 29019.12 28780.08 25436.89 27426.52 29070.29 280
DeepMVS_CXcopyleft27.40 28740.17 30526.90 30124.59 30217.44 29823.95 29448.61 2919.77 29526.48 29618.06 29224.47 29128.83 293
PNet_i23d38.26 27335.42 27346.79 28058.74 29335.48 29459.65 28751.25 29632.45 29223.44 29647.53 2922.04 30158.96 29025.60 28918.09 29545.92 291
MVEpermissive26.22 2330.37 27725.89 27943.81 28244.55 30335.46 29528.87 29739.07 30018.20 29718.58 29740.18 2932.68 30047.37 29517.07 29423.78 29248.60 289
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
Gipumacopyleft45.18 26941.86 27055.16 27577.03 26651.52 26432.50 29680.52 23432.46 29127.12 29235.02 2949.52 29675.50 27022.31 29160.21 27538.45 292
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
wuykxyi23d39.76 27233.18 27559.51 27146.98 30244.01 28057.70 28967.74 28624.13 29513.98 30034.33 2951.27 30271.33 28234.23 27718.23 29363.18 285
E-PMN31.77 27530.64 27635.15 28352.87 29827.67 30057.09 29047.86 29824.64 29416.40 29833.05 29611.23 29454.90 29314.46 29518.15 29422.87 294
EMVS30.81 27629.65 27734.27 28450.96 30025.95 30256.58 29146.80 29924.01 29615.53 29930.68 29712.47 29354.43 29412.81 29617.05 29622.43 295
DUST3R18.61 27921.40 28010.23 2894.82 30610.11 30534.70 29530.74 3011.48 30023.91 29526.07 29828.42 27413.41 29827.12 28815.35 2987.17 296
X-MVStestdata80.37 9977.83 13288.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4412.47 29967.45 5596.60 1483.06 2894.50 2894.07 18
wuyk23d16.82 28015.94 28119.46 28858.74 29331.45 29739.22 2943.74 3046.84 2996.04 3012.70 3001.27 30224.29 29710.54 29714.40 2992.63 297
testmvs6.04 2838.02 2840.10 2910.08 3070.03 30869.74 2660.04 3050.05 3010.31 3021.68 3010.02 3050.04 2990.24 2980.02 3000.25 299
test1236.12 2828.11 2830.14 2900.06 3080.09 30771.05 2620.03 3060.04 3020.25 3031.30 3020.05 3040.03 3000.21 2990.01 3020.29 298
pcd_1.5k_mvsjas5.26 2847.02 2850.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 30363.15 900.00 3010.00 3000.00 3030.00 301
pcd1.5k->3k34.07 27435.26 27430.50 28686.92 1430.00 3090.00 29891.58 710.00 3030.00 3040.00 30356.23 1680.00 3010.00 30082.60 13291.49 90
sosnet-low-res0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
sosnet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
uncertanet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
Regformer0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
uanet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
MTAPA52.35 299
test9_res84.90 1195.70 1092.87 59
agg_prior282.91 3195.45 1292.70 60
agg_prior92.85 3571.94 3291.78 6484.41 3394.93 56
test_prior472.60 2389.01 65
test_prior86.33 3892.61 4069.59 5892.97 2795.48 3493.91 25
旧先验286.56 14458.10 24687.04 1088.98 20974.07 93
新几何286.29 152
无先验87.48 11388.98 15060.00 23594.12 8067.28 14488.97 164
原ACMM286.86 135
testdata291.01 18462.37 178
segment_acmp73.08 21
testdata184.14 19175.71 63
test1286.80 3092.63 3970.70 4691.79 6382.71 5571.67 3096.16 2394.50 2893.54 40
plane_prior790.08 7068.51 83
plane_prior689.84 7568.70 7960.42 145
plane_prior592.44 3895.38 4178.71 5386.32 10291.33 92
plane_prior368.60 8178.44 2578.92 80
plane_prior291.25 2679.12 18
plane_prior189.90 74
plane_prior68.71 7790.38 4077.62 2986.16 104
n20.00 307
nn0.00 307
door-mid69.98 282
test1192.23 44