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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
APDe-MVS89.15 189.63 187.73 1894.49 871.69 3893.83 293.96 275.70 6891.06 196.03 176.84 297.03 389.09 195.65 1294.47 10
HPM-MVS++89.02 289.15 288.63 195.01 176.03 192.38 1392.85 3180.26 1187.78 1094.27 1575.89 696.81 687.45 796.44 193.05 58
CNVR-MVS88.93 389.13 388.33 394.77 273.82 690.51 3893.00 2380.90 888.06 894.06 2276.43 396.84 588.48 295.99 394.34 13
SteuartSystems-ACMMP88.72 488.86 488.32 492.14 5072.96 1893.73 393.67 680.19 1288.10 794.80 373.76 1997.11 187.51 695.82 794.90 4
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS80.84 188.10 588.56 586.73 3592.24 4869.03 7489.57 5893.39 1277.53 3689.79 394.12 2078.98 196.58 1785.66 1095.72 894.58 7
SD-MVS88.06 688.50 686.71 3692.60 4672.71 2391.81 2293.19 1777.87 2990.32 294.00 2374.83 993.78 10887.63 594.27 3993.65 38
NCCC88.06 688.01 988.24 594.41 1273.62 791.22 2992.83 3281.50 585.79 1993.47 3173.02 2397.00 484.90 1594.94 2394.10 18
ACMMP_Plus88.05 888.08 887.94 1093.70 2273.05 1790.86 3293.59 776.27 6288.14 695.09 271.06 3596.67 1087.67 496.37 294.09 19
TSAR-MVS + MP.88.02 988.11 787.72 2093.68 2472.13 3591.41 2592.35 4474.62 8388.90 493.85 2575.75 796.00 3087.80 394.63 3095.04 2
MP-MVScopyleft87.71 1087.64 1087.93 1394.36 1473.88 492.71 1292.65 3777.57 3283.84 4594.40 1472.24 2996.28 2285.65 1195.30 2093.62 40
HFP-MVS87.58 1187.47 1287.94 1094.58 573.54 1193.04 593.24 1476.78 4984.91 2794.44 1170.78 3696.61 1384.53 2094.89 2593.66 33
MPTG87.53 1287.41 1387.90 1494.18 1874.25 290.23 4692.02 5479.45 1685.88 1694.80 368.07 5596.21 2486.69 895.34 1693.23 50
ACMMPR87.44 1387.23 1588.08 794.64 373.59 893.04 593.20 1676.78 4984.66 3394.52 668.81 5396.65 1184.53 2094.90 2494.00 25
APD-MVScopyleft87.44 1387.52 1187.19 2794.24 1572.39 3191.86 2192.83 3273.01 11088.58 594.52 673.36 2096.49 1884.26 2495.01 2292.70 65
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
region2R87.42 1587.20 1688.09 694.63 473.55 993.03 793.12 1976.73 5284.45 3694.52 669.09 5196.70 984.37 2394.83 2794.03 22
MCST-MVS87.37 1687.25 1487.73 1894.53 772.46 3089.82 5293.82 473.07 10984.86 3292.89 4376.22 496.33 2084.89 1795.13 2194.40 11
#test#87.33 1787.13 1787.94 1094.58 573.54 1192.34 1493.24 1475.23 7684.91 2794.44 1170.78 3696.61 1383.75 2794.89 2593.66 33
MTAPA87.23 1887.00 1887.90 1494.18 1874.25 286.58 15392.02 5479.45 1685.88 1694.80 368.07 5596.21 2486.69 895.34 1693.23 50
XVS87.18 1986.91 2188.00 894.42 1073.33 1592.78 892.99 2579.14 1883.67 4894.17 1867.45 6296.60 1583.06 3294.50 3294.07 20
HPM-MVS87.11 2086.98 1987.50 2493.88 2172.16 3492.19 1793.33 1376.07 6583.81 4693.95 2469.77 4596.01 2985.15 1294.66 2994.32 14
CP-MVS87.11 2086.92 2087.68 2394.20 1773.86 593.98 192.82 3476.62 5483.68 4794.46 1067.93 5795.95 3184.20 2594.39 3593.23 50
DeepC-MVS79.81 287.08 2286.88 2287.69 2291.16 6072.32 3390.31 4493.94 377.12 4182.82 5794.23 1772.13 3097.09 284.83 1895.37 1593.65 38
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast79.65 386.91 2386.62 2487.76 1793.52 2672.37 3291.26 2693.04 2076.62 5484.22 4193.36 3371.44 3396.76 780.82 4795.33 1894.16 16
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_prior386.73 2486.86 2386.33 4292.61 4469.59 6688.85 7592.97 2875.41 7284.91 2793.54 2774.28 1695.48 3983.31 2895.86 593.91 27
PGM-MVS86.68 2586.27 2887.90 1494.22 1673.38 1490.22 4793.04 2075.53 7083.86 4494.42 1367.87 5996.64 1282.70 3794.57 3193.66 33
mPP-MVS86.67 2686.32 2787.72 2094.41 1273.55 992.74 1092.22 4776.87 4782.81 5894.25 1666.44 6996.24 2382.88 3694.28 3893.38 46
Regformer-286.63 2786.53 2586.95 3289.33 8871.24 4188.43 8792.05 5382.50 186.88 1390.09 9074.45 1195.61 3584.38 2290.63 6494.01 24
train_agg86.43 2886.20 2987.13 2993.26 3172.96 1888.75 7991.89 6368.69 17785.00 2593.10 3774.43 1295.41 4484.97 1395.71 993.02 59
PHI-MVS86.43 2886.17 3187.24 2690.88 6570.96 4492.27 1694.07 172.45 12185.22 2391.90 5569.47 4896.42 1983.28 3095.94 494.35 12
Regformer-186.41 3086.33 2686.64 3789.33 8870.93 4688.43 8791.39 8382.14 386.65 1490.09 9074.39 1495.01 6083.97 2690.63 6493.97 26
CSCG86.41 3086.19 3087.07 3192.91 3872.48 2990.81 3393.56 873.95 9183.16 5391.07 7275.94 595.19 5179.94 5494.38 3693.55 42
agg_prior186.22 3286.09 3286.62 3892.85 3971.94 3688.59 8491.78 6968.96 17484.41 3793.18 3674.94 894.93 6184.75 1995.33 1893.01 61
agg_prior386.16 3385.85 3587.10 3093.31 2872.86 2288.77 7891.68 7368.29 18384.26 4092.83 4572.83 2495.42 4384.97 1395.71 993.02 59
APD-MVS_3200maxsize85.97 3485.88 3386.22 4592.69 4269.53 6891.93 2092.99 2573.54 9885.94 1594.51 965.80 7695.61 3583.04 3492.51 4993.53 44
canonicalmvs85.91 3585.87 3486.04 4989.84 7969.44 7290.45 4293.00 2376.70 5388.01 991.23 6973.28 2193.91 9981.50 4388.80 8194.77 5
ACMMPcopyleft85.89 3685.39 3887.38 2593.59 2572.63 2592.74 1093.18 1876.78 4980.73 7993.82 2664.33 8496.29 2182.67 3890.69 6393.23 50
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
CDPH-MVS85.76 3785.29 4287.17 2893.49 2771.08 4288.58 8592.42 4268.32 18284.61 3493.48 2972.32 2896.15 2779.00 5695.43 1494.28 15
TSAR-MVS + GP.85.71 3885.33 3986.84 3391.34 5872.50 2889.07 6987.28 19476.41 5685.80 1890.22 8874.15 1895.37 4881.82 4191.88 5192.65 68
Regformer-485.68 3985.45 3786.35 4188.95 10169.67 6588.29 9691.29 8581.73 485.36 2190.01 9272.62 2695.35 4983.28 3087.57 9694.03 22
alignmvs85.48 4085.32 4085.96 5089.51 8469.47 7089.74 5592.47 3876.17 6387.73 1191.46 6770.32 3993.78 10881.51 4288.95 7894.63 6
3Dnovator+77.84 485.48 4084.47 4888.51 291.08 6173.49 1393.18 493.78 580.79 976.66 13993.37 3260.40 15796.75 877.20 7493.73 4295.29 1
MSLP-MVS++85.43 4285.76 3684.45 7691.93 5370.24 5490.71 3592.86 3077.46 3884.22 4192.81 4867.16 6592.94 14680.36 5094.35 3790.16 140
DELS-MVS85.41 4385.30 4185.77 5188.49 11767.93 10185.52 18293.44 1078.70 2583.63 5089.03 11374.57 1095.71 3480.26 5294.04 4093.66 33
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
HPM-MVS_fast85.35 4484.95 4586.57 4093.69 2370.58 5292.15 1891.62 7473.89 9282.67 6094.09 2162.60 11795.54 3880.93 4592.93 4493.57 41
Regformer-385.23 4585.07 4385.70 5288.95 10169.01 7688.29 9689.91 13080.95 785.01 2490.01 9272.45 2794.19 8682.50 3987.57 9693.90 29
abl_685.23 4584.95 4586.07 4892.23 4970.48 5390.80 3492.08 5273.51 9985.26 2294.16 1962.75 11095.92 3282.46 4091.30 5891.81 90
MVS_111021_HR85.14 4784.75 4786.32 4491.65 5672.70 2485.98 16890.33 11276.11 6482.08 6391.61 6271.36 3494.17 8881.02 4492.58 4892.08 84
UA-Net85.08 4884.96 4485.45 5392.07 5168.07 9989.78 5490.86 9582.48 284.60 3593.20 3569.35 4995.22 5071.39 13490.88 6293.07 57
EI-MVSNet-Vis-set84.19 4983.81 4985.31 5588.18 12667.85 10287.66 11189.73 13480.05 1482.95 5489.59 9970.74 3894.82 6880.66 4984.72 12893.28 49
nrg03083.88 5083.53 5084.96 6486.77 16069.28 7390.46 4192.67 3574.79 8182.95 5491.33 6872.70 2593.09 14180.79 4879.28 17892.50 71
EI-MVSNet-UG-set83.81 5183.38 5285.09 6187.87 13467.53 10687.44 12289.66 13579.74 1582.23 6289.41 10870.24 4094.74 7079.95 5383.92 13492.99 62
CPTT-MVS83.73 5283.33 5384.92 6793.28 3070.86 4892.09 1990.38 10768.75 17679.57 8492.83 4560.60 15393.04 14480.92 4691.56 5590.86 110
EPNet83.72 5382.92 5986.14 4784.22 18869.48 6991.05 3185.27 21481.30 676.83 13691.65 5966.09 7295.56 3776.00 8593.85 4193.38 46
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP_MVS83.64 5483.14 5485.14 5990.08 7468.71 8591.25 2792.44 3979.12 2078.92 9191.00 7660.42 15595.38 4678.71 5986.32 11491.33 99
Effi-MVS+83.62 5583.08 5585.24 5788.38 12267.45 10788.89 7289.15 15175.50 7182.27 6188.28 13069.61 4694.45 7877.81 6887.84 9493.84 31
OPM-MVS83.50 5682.95 5885.14 5988.79 10970.95 4589.13 6891.52 7877.55 3580.96 7691.75 5760.71 14994.50 7779.67 5586.51 11289.97 152
Vis-MVSNetpermissive83.46 5782.80 6185.43 5490.25 7268.74 8490.30 4590.13 12176.33 6180.87 7792.89 4361.00 14694.20 8572.45 12290.97 6093.35 48
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MG-MVS83.41 5883.45 5183.28 11192.74 4162.28 20788.17 10089.50 13975.22 7781.49 6992.74 4966.75 6695.11 5472.85 11591.58 5492.45 72
EPP-MVSNet83.40 5983.02 5784.57 7290.13 7364.47 17092.32 1590.73 9674.45 8579.35 8791.10 7069.05 5295.12 5372.78 11687.22 10394.13 17
3Dnovator76.31 583.38 6082.31 6786.59 3987.94 13372.94 2190.64 3692.14 5177.21 3975.47 15292.83 4558.56 16494.72 7173.24 11392.71 4792.13 83
MVS_Test83.15 6183.06 5683.41 10886.86 15763.21 19486.11 16692.00 5774.31 8682.87 5689.44 10770.03 4193.21 13277.39 7388.50 9093.81 32
IS-MVSNet83.15 6182.81 6084.18 8489.94 7763.30 19191.59 2388.46 17879.04 2279.49 8592.16 5065.10 8094.28 8167.71 15391.86 5294.95 3
DP-MVS Recon83.11 6382.09 6986.15 4694.44 970.92 4788.79 7792.20 4870.53 14779.17 8891.03 7564.12 8696.03 2868.39 15290.14 6991.50 96
PAPM_NR83.02 6482.41 6384.82 6992.47 4766.37 12387.93 10791.80 6773.82 9377.32 12890.66 8167.90 5894.90 6570.37 13889.48 7593.19 54
VDD-MVS83.01 6582.36 6684.96 6491.02 6266.40 12288.91 7188.11 18177.57 3284.39 3993.29 3452.19 20893.91 9977.05 7788.70 8394.57 8
MVSFormer82.85 6682.05 7085.24 5787.35 14770.21 5590.50 3990.38 10768.55 17981.32 7089.47 10261.68 13193.46 12478.98 5790.26 6792.05 85
OMC-MVS82.69 6781.97 7384.85 6888.75 11167.42 10887.98 10390.87 9474.92 8079.72 8391.65 5962.19 12893.96 9475.26 9886.42 11393.16 55
PVSNet_Blended_VisFu82.62 6881.83 7484.96 6490.80 6769.76 6488.74 8191.70 7269.39 16178.96 9088.46 12665.47 7794.87 6774.42 10288.57 8690.24 138
MVS_111021_LR82.61 6982.11 6884.11 8588.82 10671.58 3985.15 18586.16 20774.69 8280.47 8091.04 7362.29 12590.55 20580.33 5190.08 7090.20 139
HQP-MVS82.61 6982.02 7184.37 7789.33 8866.98 11689.17 6392.19 4976.41 5677.23 13190.23 8760.17 15895.11 5477.47 7185.99 11991.03 104
CLD-MVS82.31 7181.65 7584.29 8188.47 11867.73 10585.81 17492.35 4475.78 6678.33 10586.58 17764.01 8794.35 7976.05 8487.48 10190.79 111
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
VNet82.21 7282.41 6381.62 16990.82 6660.93 21484.47 19789.78 13276.36 6084.07 4391.88 5664.71 8390.26 20770.68 13588.89 7993.66 33
LPG-MVS_test82.08 7381.27 7884.50 7489.23 9668.76 8290.22 4791.94 6175.37 7476.64 14091.51 6454.29 19294.91 6378.44 6183.78 13589.83 156
FIs82.07 7482.42 6281.04 18288.80 10858.34 23388.26 9893.49 976.93 4678.47 9991.04 7369.92 4392.34 16469.87 14284.97 12492.44 73
PS-MVSNAJss82.07 7481.31 7784.34 8086.51 16267.27 11289.27 6191.51 7971.75 12979.37 8690.22 8863.15 9894.27 8277.69 6982.36 15091.49 97
API-MVS81.99 7681.23 7984.26 8290.94 6370.18 6091.10 3089.32 14471.51 13578.66 9588.28 13065.26 7895.10 5764.74 17991.23 5987.51 217
UniMVSNet_NR-MVSNet81.88 7781.54 7682.92 13188.46 11963.46 18787.13 13492.37 4380.19 1278.38 10389.14 11071.66 3293.05 14270.05 13976.46 21192.25 79
MAR-MVS81.84 7880.70 8585.27 5691.32 5971.53 4089.82 5290.92 9369.77 15678.50 9786.21 18762.36 12494.52 7665.36 17392.05 5089.77 159
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
LFMVS81.82 7981.23 7983.57 10391.89 5463.43 18989.84 5181.85 24577.04 4483.21 5193.10 3752.26 20793.43 12871.98 12889.95 7293.85 30
xiu_mvs_v2_base81.69 8081.05 8283.60 10189.15 9968.03 10084.46 19990.02 12670.67 14581.30 7286.53 18063.17 9794.19 8675.60 9488.54 8888.57 195
PS-MVSNAJ81.69 8081.02 8383.70 9989.51 8468.21 9784.28 20590.09 12270.79 14281.26 7385.62 19963.15 9894.29 8075.62 9388.87 8088.59 193
PAPR81.66 8280.89 8483.99 9390.27 7164.00 18086.76 14991.77 7168.84 17577.13 13589.50 10067.63 6094.88 6667.55 15488.52 8993.09 56
UniMVSNet (Re)81.60 8381.11 8183.09 11988.38 12264.41 17287.60 11293.02 2278.42 2878.56 9688.16 13369.78 4493.26 13169.58 14476.49 21091.60 92
FC-MVSNet-test81.52 8482.02 7180.03 19688.42 12155.97 26387.95 10593.42 1177.10 4277.38 12690.98 7869.96 4291.79 17268.46 15184.50 12992.33 75
VDDNet81.52 8480.67 8684.05 8890.44 6964.13 17689.73 5685.91 21071.11 13883.18 5293.48 2950.54 22593.49 12373.40 11288.25 9294.54 9
ACMP74.13 681.51 8680.57 8784.36 7889.42 8668.69 8889.97 5091.50 8174.46 8475.04 16890.41 8453.82 19794.54 7377.56 7082.91 14289.86 155
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
jason81.39 8780.29 9284.70 7186.63 16169.90 6285.95 16986.77 19863.24 22581.07 7589.47 10261.08 14592.15 16878.33 6490.07 7192.05 85
jason: jason.
lupinMVS81.39 8780.27 9384.76 7087.35 14770.21 5585.55 17986.41 20262.85 23181.32 7088.61 12161.68 13192.24 16778.41 6390.26 6791.83 88
DU-MVS81.12 8980.52 8982.90 13287.80 13763.46 18787.02 13991.87 6579.01 2378.38 10389.07 11165.02 8193.05 14270.05 13976.46 21192.20 80
PVSNet_Blended80.98 9080.34 9082.90 13288.85 10365.40 14084.43 20192.00 5767.62 18778.11 11485.05 21166.02 7494.27 8271.52 13289.50 7489.01 174
QAPM80.88 9179.50 10885.03 6288.01 13168.97 7891.59 2392.00 5766.63 19675.15 16592.16 5057.70 16995.45 4163.52 18388.76 8290.66 119
112180.84 9279.77 9884.05 8893.11 3570.78 4984.66 19285.42 21357.37 27381.76 6892.02 5263.41 9194.12 8967.28 15792.93 4487.26 223
TranMVSNet+NR-MVSNet80.84 9280.31 9182.42 14887.85 13562.33 20587.74 11091.33 8480.55 1077.99 11789.86 9465.23 7992.62 15467.05 16175.24 22992.30 77
UGNet80.83 9479.59 10384.54 7388.04 12968.09 9889.42 5988.16 18076.95 4576.22 14489.46 10449.30 23393.94 9668.48 15090.31 6691.60 92
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
Fast-Effi-MVS+80.81 9579.92 9683.47 10488.85 10364.51 16485.53 18189.39 14270.79 14278.49 9885.06 21067.54 6193.58 11967.03 16286.58 11092.32 76
XVG-OURS-SEG-HR80.81 9579.76 9983.96 9585.60 17168.78 8183.54 21690.50 10470.66 14676.71 13891.66 5860.69 15091.26 18876.94 7881.58 15691.83 88
xiu_mvs_v1_base_debu80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 22092.85 14878.29 6587.56 9889.06 167
xiu_mvs_v1_base80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 22092.85 14878.29 6587.56 9889.06 167
xiu_mvs_v1_base_debi80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 22092.85 14878.29 6587.56 9889.06 167
ACMM73.20 880.78 10079.84 9783.58 10289.31 9368.37 9289.99 4991.60 7570.28 15077.25 12989.66 9753.37 19993.53 12274.24 10582.85 14388.85 179
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
114514_t80.68 10179.51 10784.20 8394.09 2067.27 11289.64 5791.11 9058.75 26374.08 17490.72 8058.10 16795.04 5969.70 14389.42 7690.30 137
VPA-MVSNet80.60 10280.55 8880.76 18688.07 12860.80 21786.86 14391.58 7675.67 6980.24 8189.45 10663.34 9290.25 20870.51 13779.22 17991.23 102
PVSNet_BlendedMVS80.60 10280.02 9482.36 15088.85 10365.40 14086.16 16492.00 5769.34 16478.11 11486.09 19066.02 7494.27 8271.52 13282.06 15187.39 219
AdaColmapbinary80.58 10479.42 10984.06 8793.09 3668.91 7989.36 6088.97 16269.27 16575.70 15189.69 9657.20 17495.77 3363.06 18788.41 9187.50 218
EI-MVSNet80.52 10579.98 9582.12 15284.28 18563.19 19686.41 15888.95 16474.18 8878.69 9387.54 14666.62 6792.43 15972.57 12180.57 16690.74 114
XVG-OURS80.41 10679.23 11883.97 9485.64 17069.02 7583.03 21990.39 10671.09 13977.63 12391.49 6654.62 19191.35 18675.71 9183.47 13791.54 94
v1neww80.40 10779.54 10482.98 12684.10 19664.51 16487.57 11490.22 11673.25 10278.47 9986.65 17262.83 10693.86 10275.72 8977.02 19790.58 125
v7new80.40 10779.54 10482.98 12684.10 19664.51 16487.57 11490.22 11673.25 10278.47 9986.65 17262.83 10693.86 10275.72 8977.02 19790.58 125
v680.40 10779.54 10482.98 12684.09 19864.50 16887.57 11490.22 11673.25 10278.47 9986.63 17462.84 10593.86 10275.73 8877.02 19790.58 125
PCF-MVS73.52 780.38 11078.84 12485.01 6387.71 14068.99 7783.65 21391.46 8263.00 22877.77 12190.28 8566.10 7195.09 5861.40 20388.22 9390.94 108
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
X-MVStestdata80.37 11177.83 14588.00 894.42 1073.33 1592.78 892.99 2579.14 1883.67 4812.47 32067.45 6296.60 1583.06 3294.50 3294.07 20
test_djsdf80.30 11279.32 11283.27 11283.98 20565.37 14390.50 3990.38 10768.55 17976.19 14588.70 11756.44 17893.46 12478.98 5780.14 17290.97 107
v780.24 11379.26 11783.15 11684.07 20264.94 15487.56 11790.67 9772.26 12478.28 10686.51 18161.45 13694.03 9375.14 9977.41 19190.49 130
v2v48280.23 11479.29 11683.05 12283.62 21364.14 17587.04 13889.97 12773.61 9578.18 11387.22 15561.10 14493.82 10576.11 8376.78 20891.18 103
NR-MVSNet80.23 11479.38 11082.78 14287.80 13763.34 19086.31 16191.09 9179.01 2372.17 19289.07 11167.20 6492.81 15266.08 16875.65 22092.20 80
v114180.19 11679.31 11382.85 13583.84 20864.12 17787.14 13190.08 12373.13 10578.27 10786.39 18362.67 11593.75 11275.40 9676.83 20590.68 116
divwei89l23v2f11280.19 11679.31 11382.85 13583.84 20864.11 17987.13 13490.08 12373.13 10578.27 10786.39 18362.69 11393.75 11275.40 9676.82 20690.68 116
v180.19 11679.31 11382.85 13583.83 21064.12 17787.14 13190.07 12573.13 10578.27 10786.38 18562.72 11293.75 11275.41 9576.82 20690.68 116
IterMVS-LS80.06 11979.38 11082.11 15385.89 16663.20 19586.79 14689.34 14374.19 8775.45 15486.72 16566.62 6792.39 16172.58 12076.86 20290.75 113
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v114480.03 12079.03 12183.01 12483.78 21164.51 16487.11 13690.57 10271.96 12878.08 11686.20 18861.41 13793.94 9674.93 10077.23 19390.60 122
v879.97 12179.02 12282.80 13984.09 19864.50 16887.96 10490.29 11574.13 9075.24 16386.81 16262.88 10393.89 10174.39 10375.40 22590.00 151
DI_MVS_plusplus_test79.89 12278.58 12983.85 9882.89 23265.32 14486.12 16589.55 13769.64 16070.55 20685.82 19557.24 17393.81 10676.85 7988.55 8792.41 74
test_normal79.81 12378.45 13183.89 9782.70 23665.40 14085.82 17389.48 14069.39 16170.12 21485.66 19857.15 17593.71 11777.08 7688.62 8592.56 70
OpenMVScopyleft72.83 1079.77 12478.33 13784.09 8685.17 17469.91 6190.57 3790.97 9266.70 19272.17 19291.91 5454.70 18993.96 9461.81 20090.95 6188.41 201
v1079.74 12578.67 12582.97 13084.06 20364.95 15387.88 10990.62 10073.11 10875.11 16686.56 17861.46 13594.05 9273.68 10875.55 22289.90 153
BH-RMVSNet79.61 12678.44 13383.14 11789.38 8765.93 12984.95 18887.15 19573.56 9778.19 11289.79 9556.67 17793.36 12959.53 21886.74 10890.13 142
v119279.59 12778.43 13483.07 12183.55 21564.52 16286.93 14190.58 10170.83 14177.78 12085.90 19159.15 16193.94 9673.96 10777.19 19590.76 112
diffmvs79.51 12878.59 12882.25 15183.31 22062.66 20284.17 20688.11 18167.64 18576.09 14987.47 14864.01 8791.15 19171.71 13184.82 12792.94 63
ab-mvs79.51 12878.97 12381.14 18088.46 11960.91 21583.84 21189.24 14970.36 14979.03 8988.87 11563.23 9690.21 20965.12 17482.57 14892.28 78
WR-MVS79.49 13079.22 11980.27 19488.79 10958.35 23285.06 18688.61 17678.56 2677.65 12288.34 12863.81 9090.66 20464.98 17777.22 19491.80 91
v14419279.47 13178.37 13582.78 14283.35 21863.96 18186.96 14090.36 11069.99 15377.50 12485.67 19760.66 15193.77 11074.27 10476.58 20990.62 120
BH-untuned79.47 13178.60 12782.05 15489.19 9865.91 13086.07 16788.52 17772.18 12575.42 15587.69 14161.15 14393.54 12160.38 21086.83 10786.70 235
mvs_anonymous79.42 13379.11 12080.34 19184.45 18457.97 23882.59 22087.62 19067.40 19176.17 14888.56 12468.47 5489.59 21670.65 13686.05 11893.47 45
V4279.38 13478.24 13982.83 13881.10 25665.50 13985.55 17989.82 13171.57 13478.21 11186.12 18960.66 15193.18 13675.64 9275.46 22489.81 158
jajsoiax79.29 13577.96 14283.27 11284.68 18166.57 12189.25 6290.16 12069.20 16775.46 15389.49 10145.75 25293.13 13976.84 8080.80 16290.11 143
v192192079.22 13678.03 14182.80 13983.30 22163.94 18286.80 14590.33 11269.91 15477.48 12585.53 20158.44 16593.75 11273.60 11176.85 20390.71 115
TAPA-MVS73.13 979.15 13777.94 14382.79 14189.59 8262.99 20088.16 10191.51 7965.77 20477.14 13491.09 7160.91 14793.21 13250.26 26687.05 10592.17 82
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
mvs_tets79.13 13877.77 14883.22 11484.70 18066.37 12389.17 6390.19 11969.38 16375.40 15689.46 10444.17 25893.15 13776.78 8180.70 16490.14 141
CDS-MVSNet79.07 13977.70 14983.17 11587.60 14268.23 9684.40 20386.20 20667.49 18976.36 14386.54 17961.54 13490.79 20261.86 19987.33 10290.49 130
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSTER79.01 14077.88 14482.38 14983.07 22664.80 15684.08 21088.95 16469.01 17378.69 9387.17 15854.70 18992.43 15974.69 10180.57 16689.89 154
v124078.99 14177.78 14782.64 14683.21 22263.54 18586.62 15290.30 11469.74 15977.33 12785.68 19657.04 17693.76 11173.13 11476.92 20090.62 120
v7n78.97 14277.58 15183.14 11783.45 21765.51 13888.32 9491.21 8773.69 9472.41 18986.32 18657.93 16893.81 10669.18 14675.65 22090.11 143
TAMVS78.89 14377.51 15283.03 12387.80 13767.79 10484.72 19185.05 21767.63 18676.75 13787.70 14062.25 12690.82 20158.53 22787.13 10490.49 130
v14878.72 14477.80 14681.47 17382.73 23561.96 21086.30 16288.08 18373.26 10176.18 14685.47 20362.46 12392.36 16371.92 13073.82 24190.09 145
VPNet78.69 14578.66 12678.76 21288.31 12455.72 26584.45 20086.63 20076.79 4878.26 11090.55 8359.30 16089.70 21566.63 16377.05 19690.88 109
anonymousdsp78.60 14677.15 15782.98 12680.51 26267.08 11487.24 12989.53 13865.66 20675.16 16487.19 15752.52 20192.25 16677.17 7579.34 17789.61 162
WR-MVS_H78.51 14778.49 13078.56 21588.02 13056.38 25888.43 8792.67 3577.14 4073.89 17587.55 14566.25 7089.24 22258.92 22273.55 24390.06 149
GBi-Net78.40 14877.40 15381.40 17587.60 14263.01 19788.39 9189.28 14571.63 13175.34 15887.28 15154.80 18691.11 19262.72 18879.57 17390.09 145
test178.40 14877.40 15381.40 17587.60 14263.01 19788.39 9189.28 14571.63 13175.34 15887.28 15154.80 18691.11 19262.72 18879.57 17390.09 145
Vis-MVSNet (Re-imp)78.36 15078.45 13178.07 22288.64 11351.78 28086.70 15079.63 26574.14 8975.11 16690.83 7961.29 14089.75 21358.10 23191.60 5392.69 67
CP-MVSNet78.22 15178.34 13677.84 22487.83 13654.54 26987.94 10691.17 8977.65 3073.48 17788.49 12562.24 12788.43 23562.19 19474.07 23690.55 128
BH-w/o78.21 15277.33 15580.84 18488.81 10765.13 15084.87 18987.85 18769.75 15774.52 17284.74 21661.34 13893.11 14058.24 23085.84 12184.27 260
FMVSNet278.20 15377.21 15681.20 17887.60 14262.89 20187.47 12189.02 15571.63 13175.29 16287.28 15154.80 18691.10 19562.38 19279.38 17689.61 162
MVS78.19 15476.99 15981.78 15985.66 16966.99 11584.66 19290.47 10555.08 28372.02 19685.27 20663.83 8994.11 9166.10 16789.80 7384.24 261
Baseline_NR-MVSNet78.15 15578.33 13777.61 22885.79 16756.21 26186.78 14785.76 21173.60 9677.93 11887.57 14465.02 8188.99 22667.14 16075.33 22687.63 214
CNLPA78.08 15676.79 16381.97 15690.40 7071.07 4387.59 11384.55 22066.03 20372.38 19089.64 9857.56 17186.04 25259.61 21683.35 13888.79 182
PLCcopyleft70.83 1178.05 15776.37 16883.08 12091.88 5567.80 10388.19 9989.46 14164.33 21869.87 22088.38 12753.66 19893.58 11958.86 22382.73 14587.86 210
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PS-CasMVS78.01 15878.09 14077.77 22687.71 14054.39 27188.02 10291.22 8677.50 3773.26 17988.64 12060.73 14888.41 23661.88 19873.88 24090.53 129
v74877.97 15976.65 16581.92 15882.29 24163.28 19287.53 11890.35 11173.50 10070.76 20585.55 20058.28 16692.81 15268.81 14972.76 24889.67 161
V477.95 16076.37 16882.67 14479.40 27365.52 13686.43 15689.94 12872.28 12272.14 19584.95 21255.72 18193.44 12673.64 10972.86 24689.05 171
HY-MVS69.67 1277.95 16077.15 15780.36 19087.57 14660.21 22183.37 21887.78 18866.11 20075.37 15787.06 16063.27 9490.48 20661.38 20482.43 14990.40 135
v5277.94 16276.37 16882.67 14479.39 27465.52 13686.43 15689.94 12872.28 12272.15 19484.94 21355.70 18293.44 12673.64 10972.84 24789.06 167
FMVSNet377.88 16376.85 16180.97 18386.84 15862.36 20486.52 15588.77 17171.13 13775.34 15886.66 17154.07 19591.10 19562.72 18879.57 17389.45 164
Test477.83 16475.90 18283.62 10080.24 26465.25 14685.27 18490.67 9769.03 17266.48 25583.75 22143.07 26393.00 14575.93 8688.66 8492.62 69
PEN-MVS77.73 16577.69 15077.84 22487.07 15553.91 27387.91 10891.18 8877.56 3473.14 18188.82 11661.23 14189.17 22359.95 21372.37 24990.43 133
v1677.69 16676.36 17181.68 16684.15 19364.63 16187.33 12488.99 15972.69 11969.31 22882.08 23762.80 10991.79 17272.70 11867.23 27088.63 187
v1777.68 16776.35 17281.69 16584.15 19364.65 15987.33 12488.99 15972.70 11869.25 22982.07 23862.82 10891.79 17272.69 11967.15 27288.63 187
PAPM77.68 16776.40 16781.51 17287.29 15261.85 21183.78 21289.59 13664.74 21371.23 20288.70 11762.59 11893.66 11852.66 25787.03 10689.01 174
v1877.67 16976.35 17281.64 16884.09 19864.47 17087.27 12789.01 15772.59 12069.39 22582.04 23962.85 10491.80 17172.72 11767.20 27188.63 187
HyFIR77.63 17075.69 18383.44 10589.98 7668.58 9078.70 25387.50 19256.38 27875.80 15086.84 16158.67 16391.40 18561.58 20285.75 12290.34 136
HyFIR lowres test77.53 17175.40 18783.94 9689.59 8266.62 11980.36 23888.64 17556.29 27976.45 14285.17 20757.64 17093.28 13061.34 20583.10 14191.91 87
V1477.52 17276.12 17581.70 16484.15 19364.77 15787.21 13088.95 16472.80 11568.79 23181.94 24562.69 11391.72 17772.31 12466.27 27888.60 191
V977.52 17276.11 17881.73 16384.19 19264.89 15587.26 12888.94 16772.87 11468.65 23481.96 24462.65 11691.72 17772.27 12566.24 27988.60 191
v1577.51 17476.12 17581.66 16784.09 19864.65 15987.14 13188.96 16372.76 11668.90 23081.91 24662.74 11191.73 17572.32 12366.29 27788.61 190
v1277.51 17476.09 17981.76 16284.22 18864.99 15287.30 12688.93 16872.92 11168.48 23881.97 24262.54 12091.70 18072.24 12666.21 28188.58 194
v1377.50 17676.07 18081.77 16084.23 18765.07 15187.34 12388.91 16972.92 11168.35 23981.97 24262.53 12191.69 18172.20 12766.22 28088.56 196
v1177.45 17776.06 18181.59 17184.22 18864.52 16287.11 13689.02 15572.76 11668.76 23281.90 24762.09 12991.71 17971.98 12866.73 27388.56 196
FMVSNet177.44 17876.12 17581.40 17586.81 15963.01 19788.39 9189.28 14570.49 14874.39 17387.28 15149.06 23691.11 19260.91 20778.52 18190.09 145
TR-MVS77.44 17876.18 17481.20 17888.24 12563.24 19384.61 19586.40 20367.55 18877.81 11986.48 18254.10 19493.15 13757.75 23482.72 14687.20 224
1112_ss77.40 18076.43 16680.32 19289.11 10060.41 22083.65 21387.72 18962.13 23973.05 18286.72 16562.58 11989.97 21162.11 19780.80 16290.59 124
pm-mvs177.25 18176.68 16478.93 21084.22 18858.62 23086.41 15888.36 17971.37 13673.31 17888.01 13761.22 14289.15 22464.24 18173.01 24589.03 173
LCM-MVSNet-Re77.05 18276.94 16077.36 23187.20 15351.60 28180.06 24080.46 25775.20 7867.69 24386.72 16562.48 12288.98 22763.44 18489.25 7791.51 95
DTE-MVSNet76.99 18376.80 16277.54 23086.24 16453.06 27787.52 11990.66 9977.08 4372.50 18788.67 11960.48 15489.52 21757.33 23870.74 25990.05 150
LS3D76.95 18474.82 19183.37 10990.45 6867.36 11189.15 6786.94 19761.87 24169.52 22390.61 8251.71 21294.53 7446.38 28086.71 10988.21 203
GA-MVS76.87 18575.17 18981.97 15682.75 23462.58 20381.44 23286.35 20572.16 12774.74 17082.89 22746.20 24792.02 17068.85 14881.09 15991.30 101
DP-MVS76.78 18674.57 19383.42 10693.29 2969.46 7188.55 8683.70 22763.98 22270.20 21088.89 11454.01 19694.80 6946.66 27781.88 15486.01 245
cascas76.72 18774.64 19282.99 12585.78 16865.88 13182.33 22289.21 15060.85 24772.74 18481.02 25447.28 24293.75 11267.48 15585.02 12389.34 165
131476.53 18875.30 18880.21 19583.93 20662.32 20684.66 19288.81 17060.23 25170.16 21384.07 21855.30 18590.73 20367.37 15683.21 14087.59 216
Test_1112_low_res76.40 18975.44 18679.27 20589.28 9458.09 23581.69 22887.07 19659.53 25772.48 18886.67 17061.30 13989.33 22060.81 20980.15 17190.41 134
F-COLMAP76.38 19074.33 19782.50 14789.28 9466.95 11888.41 9089.03 15464.05 22066.83 25188.61 12146.78 24592.89 14757.48 23578.55 18087.67 213
LTVRE_ROB69.57 1376.25 19174.54 19581.41 17488.60 11464.38 17379.24 24789.12 15370.76 14469.79 22287.86 13849.09 23593.20 13456.21 24480.16 17086.65 236
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
MVP-Stereo76.12 19274.46 19681.13 18185.37 17369.79 6384.42 20287.95 18565.03 21167.46 24585.33 20553.28 20091.73 17558.01 23283.27 13981.85 280
XVG-ACMP-BASELINE76.11 19374.27 19881.62 16983.20 22364.67 15883.60 21589.75 13369.75 15771.85 19787.09 15932.78 29592.11 16969.99 14180.43 16988.09 205
ACMH+68.96 1476.01 19474.01 19982.03 15588.60 11465.31 14588.86 7487.55 19170.25 15167.75 24287.47 14841.27 27393.19 13558.37 22875.94 21687.60 215
ACMH67.68 1675.89 19573.93 20081.77 16088.71 11266.61 12088.62 8389.01 15769.81 15566.78 25286.70 16941.95 27291.51 18455.64 24578.14 18687.17 225
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IB-MVS68.01 1575.85 19673.36 20483.31 11084.76 17966.03 12683.38 21785.06 21670.21 15269.40 22481.05 25345.76 25194.66 7265.10 17575.49 22389.25 166
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
testing_275.73 19773.34 20582.89 13477.37 28265.22 14784.10 20990.54 10369.09 16860.46 27881.15 25240.48 27692.84 15176.36 8280.54 16890.60 122
WTY-MVS75.65 19875.68 18475.57 24586.40 16356.82 24977.92 25982.40 23865.10 21076.18 14687.72 13963.13 10180.90 27460.31 21181.96 15289.00 176
EPNet_dtu75.46 19974.86 19077.23 23482.57 23854.60 26886.89 14283.09 23271.64 13066.25 25785.86 19355.99 18088.04 23954.92 24786.55 11189.05 171
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
XXY-MVS75.41 20075.56 18574.96 24983.59 21457.82 24180.59 23783.87 22666.54 19774.93 16988.31 12963.24 9580.09 27862.16 19576.85 20386.97 230
TransMVSNet (Re)75.39 20174.56 19477.86 22385.50 17257.10 24786.78 14786.09 20972.17 12671.53 20187.34 15063.01 10289.31 22156.84 24161.83 28987.17 225
CostFormer75.24 20273.90 20179.27 20582.65 23758.27 23480.80 23382.73 23661.57 24275.33 16183.13 22655.52 18391.07 19864.98 17778.34 18588.45 199
pmmvs674.69 20373.39 20378.61 21481.38 25157.48 24486.64 15187.95 18564.99 21270.18 21186.61 17550.43 22689.52 21762.12 19670.18 26188.83 180
PatchFormer-LS_test74.50 20473.05 20678.86 21182.95 23059.55 22681.65 22982.30 24067.44 19071.62 20078.15 27352.34 20588.92 23165.05 17675.90 21788.12 204
IterMVS74.29 20572.94 20778.35 22081.53 24963.49 18681.58 23082.49 23768.06 18469.99 21783.69 22351.66 21385.54 25565.85 17071.64 25486.01 245
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OurMVSNet-221017-074.26 20672.42 21179.80 19983.76 21259.59 22385.92 17186.64 19966.39 19866.96 25087.58 14339.46 27991.60 18365.76 17169.27 26388.22 202
EG-PatchMatch MVS74.04 20771.82 21580.71 18784.92 17867.42 10885.86 17288.08 18366.04 20264.22 26883.85 21935.10 29492.56 15757.44 23680.83 16182.16 279
pmmvs474.03 20871.91 21380.39 18981.96 24468.32 9381.45 23182.14 24259.32 25869.87 22085.13 20852.40 20488.13 23860.21 21274.74 23284.73 258
MS-PatchMatch73.83 20972.67 20877.30 23383.87 20766.02 12781.82 22584.66 21961.37 24568.61 23682.82 22947.29 24188.21 23759.27 21984.32 13277.68 293
DWT-MVSNet_test73.70 21071.86 21479.21 20782.91 23158.94 22882.34 22182.17 24165.21 20871.05 20478.31 27144.21 25790.17 21063.29 18677.28 19288.53 198
sss73.60 21173.64 20273.51 26082.80 23355.01 26776.12 26681.69 24662.47 23674.68 17185.85 19457.32 17278.11 28660.86 20880.93 16087.39 219
tpmp4_e2373.45 21271.17 22380.31 19383.55 21559.56 22581.88 22482.33 23957.94 26870.51 20881.62 24851.19 21791.63 18253.96 25177.51 19089.75 160
SixPastTwentyTwo73.37 21371.26 22279.70 20085.08 17757.89 24085.57 17583.56 22871.03 14065.66 25985.88 19242.10 27092.57 15659.11 22163.34 28688.65 186
CR-MVSNet73.37 21371.27 22179.67 20181.32 25465.19 14875.92 26880.30 25959.92 25472.73 18581.19 25052.50 20286.69 24659.84 21477.71 18787.11 228
MSDG73.36 21570.99 22480.49 18884.51 18365.80 13280.71 23586.13 20865.70 20565.46 26083.74 22244.60 25590.91 20051.13 26176.89 20184.74 257
tpm273.26 21671.46 21778.63 21383.34 21956.71 25280.65 23680.40 25856.63 27773.55 17682.02 24051.80 21191.24 18956.35 24378.42 18487.95 207
RPSCF73.23 21771.46 21778.54 21682.50 23959.85 22282.18 22382.84 23558.96 26071.15 20389.41 10845.48 25484.77 26158.82 22471.83 25391.02 106
Patchmatch-test173.17 21871.42 21978.41 21984.05 20462.17 20877.03 26479.29 26766.30 19972.38 19079.58 26651.04 21985.08 25955.46 24677.67 18987.99 206
PatchmatchNetpermissive73.12 21971.33 22078.49 21883.18 22460.85 21679.63 24378.57 26964.13 21971.73 19879.81 26551.20 21685.97 25357.40 23776.36 21388.66 185
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
COLMAP_ROBcopyleft66.92 1773.01 22070.41 22880.81 18587.13 15465.63 13588.30 9584.19 22462.96 22963.80 27187.69 14138.04 28592.56 15746.66 27774.91 23084.24 261
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CVMVSNet72.99 22172.58 20974.25 25684.28 18550.85 28786.41 15883.45 22944.56 30373.23 18087.54 14649.38 23185.70 25465.90 16978.44 18386.19 240
test-LLR72.94 22272.43 21074.48 25381.35 25258.04 23678.38 25477.46 27466.66 19369.95 21879.00 26948.06 23979.24 28066.13 16584.83 12586.15 241
test_040272.79 22370.44 22779.84 19888.13 12765.99 12885.93 17084.29 22265.57 20767.40 24785.49 20246.92 24492.61 15535.88 29974.38 23580.94 283
tpmrst72.39 22472.13 21273.18 26280.54 26149.91 29179.91 24279.08 26863.11 22671.69 19979.95 26255.32 18482.77 26965.66 17273.89 23986.87 231
PatchMatch-RL72.38 22570.90 22576.80 23788.60 11467.38 11079.53 24476.17 28062.75 23369.36 22682.00 24145.51 25384.89 26053.62 25380.58 16578.12 291
tpm72.37 22671.71 21674.35 25582.19 24252.00 27879.22 24877.29 27664.56 21572.95 18383.68 22451.35 21483.26 26858.33 22975.80 21887.81 211
PVSNet64.34 1872.08 22770.87 22675.69 24386.21 16556.44 25674.37 27880.73 25462.06 24070.17 21282.23 23542.86 26583.31 26754.77 24884.45 13187.32 221
RPMNet71.62 22868.94 23679.67 20181.32 25465.19 14875.92 26878.30 27157.60 27172.73 18576.45 28252.30 20686.69 24648.14 27477.71 18787.11 228
pmmvs571.55 22970.20 23075.61 24477.83 27956.39 25781.74 22780.89 25157.76 26967.46 24584.49 21749.26 23485.32 25857.08 24075.29 22785.11 254
test-mter71.41 23070.39 22974.48 25381.35 25258.04 23678.38 25477.46 27460.32 25069.95 21879.00 26936.08 29279.24 28066.13 16584.83 12586.15 241
K. test v371.19 23168.51 23879.21 20783.04 22857.78 24284.35 20476.91 27872.90 11362.99 27482.86 22839.27 28091.09 19761.65 20152.66 30488.75 183
tpmvs71.09 23269.29 23376.49 23882.04 24356.04 26278.92 25181.37 25064.05 22067.18 24978.28 27249.74 23089.77 21249.67 26972.37 24983.67 265
AllTest70.96 23368.09 24479.58 20385.15 17563.62 18384.58 19679.83 26362.31 23760.32 27986.73 16332.02 29688.96 22950.28 26471.57 25586.15 241
Patchmtry70.74 23469.16 23475.49 24680.72 25854.07 27274.94 27780.30 25958.34 26470.01 21581.19 25052.50 20286.54 24853.37 25471.09 25785.87 247
MIMVSNet70.69 23569.30 23274.88 25084.52 18256.35 25975.87 27079.42 26664.59 21467.76 24182.41 23241.10 27481.54 27346.64 27981.34 15786.75 234
tpm cat170.57 23668.31 24077.35 23282.41 24057.95 23978.08 25880.22 26152.04 29468.54 23777.66 27852.00 21087.84 24151.77 25872.07 25286.25 239
OpenMVS_ROBcopyleft64.09 1970.56 23768.19 24177.65 22780.26 26359.41 22785.01 18782.96 23458.76 26265.43 26182.33 23337.63 28891.23 19045.34 28576.03 21582.32 277
pmmvs-eth3d70.50 23867.83 24878.52 21777.37 28266.18 12581.82 22581.51 24858.90 26163.90 27080.42 25942.69 26686.28 25158.56 22665.30 28383.11 271
USDC70.33 23968.37 23976.21 24080.60 26056.23 26079.19 24986.49 20160.89 24661.29 27585.47 20331.78 29889.47 21953.37 25476.21 21482.94 276
Patchmatch-RL test70.24 24067.78 25077.61 22877.43 28159.57 22471.16 28370.33 30162.94 23068.65 23472.77 29250.62 22485.49 25669.58 14466.58 27587.77 212
CMPMVSbinary51.72 2170.19 24168.16 24276.28 23973.15 29857.55 24379.47 24583.92 22548.02 30156.48 29384.81 21443.13 26286.42 25062.67 19181.81 15584.89 255
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
gg-mvs-nofinetune69.95 24267.96 24575.94 24183.07 22654.51 27077.23 26270.29 30263.11 22670.32 20962.33 30443.62 26088.69 23353.88 25287.76 9584.62 259
TESTMET0.1,169.89 24369.00 23572.55 26379.27 27656.85 24878.38 25474.71 29057.64 27068.09 24077.19 28037.75 28676.70 29163.92 18284.09 13384.10 264
FMVSNet569.50 24467.96 24574.15 25782.97 22955.35 26680.01 24182.12 24362.56 23563.02 27281.53 24936.92 28981.92 27148.42 27274.06 23785.17 253
PMMVS69.34 24568.67 23771.35 26975.67 28962.03 20975.17 27273.46 29550.00 29968.68 23379.05 26752.07 20978.13 28561.16 20682.77 14473.90 300
EPMVS69.02 24668.16 24271.59 26579.61 27049.80 29377.40 26166.93 31062.82 23270.01 21579.05 26745.79 25077.86 28856.58 24275.26 22887.13 227
Anonymous2023120668.60 24767.80 24971.02 27180.23 26550.75 28878.30 25780.47 25656.79 27666.11 25882.63 23146.35 24678.95 28243.62 28875.70 21983.36 268
MIMVSNet168.58 24866.78 25473.98 25880.07 26651.82 27980.77 23484.37 22164.40 21759.75 28282.16 23636.47 29083.63 26542.73 28970.33 26086.48 238
EU-MVSNet68.53 24967.61 25271.31 27078.51 27847.01 29784.47 19784.27 22342.27 30466.44 25684.79 21540.44 27783.76 26358.76 22568.54 26983.17 269
PatchT68.46 25067.85 24770.29 27380.70 25943.93 30172.47 28174.88 28660.15 25270.55 20676.57 28149.94 22981.59 27250.58 26274.83 23185.34 250
test0.0.03 168.00 25167.69 25168.90 27877.55 28047.43 29575.70 27172.95 29766.66 19366.56 25382.29 23448.06 23975.87 29544.97 28674.51 23483.41 267
TDRefinement67.49 25264.34 25976.92 23573.47 29661.07 21384.86 19082.98 23359.77 25558.30 28585.13 20826.06 30387.89 24047.92 27560.59 29481.81 281
test20.0367.45 25366.95 25368.94 27775.48 29244.84 29977.50 26077.67 27366.66 19363.01 27383.80 22047.02 24378.40 28442.53 29068.86 26783.58 266
UnsupCasMVSNet_eth67.33 25465.99 25671.37 26773.48 29551.47 28375.16 27385.19 21565.20 20960.78 27780.93 25742.35 26777.20 29057.12 23953.69 30385.44 249
TinyColmap67.30 25564.81 25874.76 25281.92 24556.68 25380.29 23981.49 24960.33 24956.27 29483.22 22524.77 30587.66 24345.52 28369.47 26279.95 287
dp66.80 25665.43 25770.90 27279.74 26948.82 29475.12 27574.77 28859.61 25664.08 26977.23 27942.89 26480.72 27548.86 27166.58 27583.16 270
MDA-MVSNet-bldmvs66.68 25763.66 26175.75 24279.28 27560.56 21973.92 27978.35 27064.43 21650.13 30479.87 26444.02 25983.67 26446.10 28156.86 29883.03 273
testgi66.67 25866.53 25567.08 28375.62 29041.69 30675.93 26776.50 27966.11 20065.20 26486.59 17635.72 29374.71 29843.71 28773.38 24484.84 256
PM-MVS66.41 25964.14 26073.20 26173.92 29356.45 25578.97 25064.96 31463.88 22464.72 26580.24 26019.84 31183.44 26666.24 16464.52 28579.71 288
JIA-IIPM66.32 26062.82 26776.82 23677.09 28561.72 21265.34 30475.38 28258.04 26764.51 26662.32 30542.05 27186.51 24951.45 26069.22 26482.21 278
ADS-MVSNet266.20 26163.33 26274.82 25179.92 26758.75 22967.55 30075.19 28453.37 29065.25 26275.86 28342.32 26880.53 27641.57 29168.91 26585.18 251
YYNet165.03 26262.91 26571.38 26675.85 28856.60 25469.12 29474.66 29257.28 27454.12 29677.87 27645.85 24974.48 29949.95 26761.52 29183.05 272
MDA-MVSNet_test_wron65.03 26262.92 26471.37 26775.93 28756.73 25069.09 29574.73 28957.28 27454.03 29777.89 27545.88 24874.39 30049.89 26861.55 29082.99 274
Anonymous2023121164.82 26461.79 26973.91 25977.11 28450.92 28685.29 18381.53 24754.19 28557.98 28678.03 27426.90 30187.83 24237.92 29657.12 29782.99 274
Patchmatch-test64.82 26463.24 26369.57 27579.42 27249.82 29263.49 30769.05 30851.98 29559.95 28180.13 26150.91 22070.98 30840.66 29373.57 24287.90 209
ADS-MVSNet64.36 26662.88 26668.78 28079.92 26747.17 29667.55 30071.18 30053.37 29065.25 26275.86 28342.32 26873.99 30241.57 29168.91 26585.18 251
LF4IMVS64.02 26762.19 26869.50 27670.90 30353.29 27676.13 26577.18 27752.65 29358.59 28380.98 25523.55 30676.52 29253.06 25666.66 27478.68 290
UnsupCasMVSNet_bld63.70 26861.53 27170.21 27473.69 29451.39 28472.82 28081.89 24455.63 28157.81 28771.80 29438.67 28278.61 28349.26 27052.21 30580.63 284
new-patchmatchnet61.73 26961.73 27061.70 29172.74 29924.50 32269.16 29378.03 27261.40 24356.72 29275.53 28538.42 28376.48 29345.95 28257.67 29684.13 263
PVSNet_057.27 2061.67 27059.27 27268.85 27979.61 27057.44 24568.01 29873.44 29655.93 28058.54 28470.41 29744.58 25677.55 28947.01 27635.91 31071.55 302
LP61.36 27157.78 27572.09 26475.54 29158.53 23167.16 30275.22 28351.90 29654.13 29569.97 29837.73 28780.45 27732.74 30355.63 30077.29 295
test235659.50 27258.08 27363.74 28771.23 30241.88 30467.59 29972.42 29953.72 28957.65 28870.74 29626.31 30272.40 30532.03 30671.06 25876.93 297
MVS-HIRNet59.14 27357.67 27663.57 28881.65 24743.50 30271.73 28265.06 31339.59 30851.43 30257.73 30838.34 28482.58 27039.53 29473.95 23864.62 307
testus59.00 27457.91 27462.25 29072.25 30039.09 30969.74 28875.02 28553.04 29257.21 29073.72 29018.76 31370.33 30932.86 30268.57 26877.35 294
test123567858.74 27556.89 27964.30 28569.70 30441.87 30571.05 28474.87 28754.06 28650.63 30371.53 29525.30 30474.10 30131.80 30763.10 28776.93 297
pmmvs357.79 27654.26 28168.37 28164.02 31056.72 25175.12 27565.17 31240.20 30652.93 30069.86 29920.36 31075.48 29745.45 28455.25 30272.90 301
DSMNet-mixed57.77 27756.90 27860.38 29267.70 30835.61 31269.18 29253.97 31732.30 31457.49 28979.88 26340.39 27868.57 31238.78 29572.37 24976.97 296
111157.11 27856.82 28057.97 29569.10 30528.28 31768.90 29674.54 29354.01 28753.71 29874.51 28723.09 30767.90 31332.28 30461.26 29277.73 292
testpf56.51 27957.58 27753.30 29871.99 30141.19 30746.89 31669.32 30758.06 26652.87 30169.45 30027.99 30072.73 30459.59 21762.07 28845.98 312
LCM-MVSNet54.25 28049.68 28767.97 28253.73 31745.28 29866.85 30380.78 25335.96 31039.45 30962.23 3068.70 32378.06 28748.24 27351.20 30680.57 285
testmv53.85 28151.03 28462.31 28961.46 31238.88 31070.95 28774.69 29151.11 29841.26 30666.85 30114.28 31772.13 30629.19 30949.51 30775.93 299
FPMVS53.68 28251.64 28359.81 29365.08 30951.03 28569.48 29169.58 30541.46 30540.67 30772.32 29316.46 31670.00 31024.24 31465.42 28258.40 309
N_pmnet52.79 28353.26 28251.40 30178.99 2777.68 32669.52 2903.89 32651.63 29757.01 29174.98 28640.83 27565.96 31537.78 29764.67 28480.56 286
no-one51.08 28445.79 29066.95 28457.92 31550.49 29059.63 31176.04 28148.04 30031.85 31056.10 31119.12 31280.08 27936.89 29826.52 31270.29 303
new_pmnet50.91 28550.29 28552.78 29968.58 30734.94 31563.71 30656.63 31639.73 30744.95 30565.47 30321.93 30958.48 31734.98 30056.62 29964.92 306
ANet_high50.57 28646.10 28963.99 28648.67 32039.13 30870.99 28680.85 25261.39 24431.18 31257.70 30917.02 31573.65 30331.22 30815.89 31979.18 289
test1235649.28 28748.51 28851.59 30062.06 31119.11 32360.40 30972.45 29847.60 30240.64 30865.68 30213.84 31868.72 31127.29 31146.67 30966.94 305
.test124545.55 28850.02 28632.14 30769.10 30528.28 31768.90 29674.54 29354.01 28753.71 29874.51 28723.09 30767.90 31332.28 3040.02 3220.25 321
Gipumacopyleft45.18 28941.86 29155.16 29777.03 28651.52 28232.50 31980.52 25532.46 31227.12 31335.02 3159.52 32275.50 29622.31 31560.21 29538.45 314
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 29040.28 29255.82 29640.82 32342.54 30365.12 30563.99 31534.43 31124.48 31457.12 3103.92 32576.17 29417.10 31755.52 30148.75 310
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS240.82 29138.86 29346.69 30353.84 31616.45 32448.61 31549.92 31937.49 30931.67 31160.97 3078.14 32456.42 31828.42 31030.72 31167.19 304
wuykxyi23d39.76 29233.18 29659.51 29446.98 32144.01 30057.70 31267.74 30924.13 31613.98 32134.33 3161.27 32871.33 30734.23 30118.23 31563.18 308
PNet_i23d38.26 29335.42 29446.79 30258.74 31335.48 31359.65 31051.25 31832.45 31323.44 31747.53 3132.04 32758.96 31625.60 31318.09 31745.92 313
pcd1.5k->3k34.07 29435.26 29530.50 30886.92 1560.00 3290.00 32191.58 760.00 3240.00 3250.00 32656.23 1790.00 3270.00 32482.60 14791.49 97
E-PMN31.77 29530.64 29735.15 30552.87 31827.67 31957.09 31347.86 32024.64 31516.40 31933.05 31711.23 32054.90 31914.46 31918.15 31622.87 316
EMVS30.81 29629.65 29834.27 30650.96 31925.95 32156.58 31446.80 32124.01 31715.53 32030.68 31812.47 31954.43 32012.81 32017.05 31822.43 317
MVEpermissive26.22 2330.37 29725.89 30043.81 30444.55 32235.46 31428.87 32039.07 32218.20 31818.58 31840.18 3142.68 32647.37 32117.07 31823.78 31448.60 311
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
cdsmvs_eth3d_5k19.96 29826.61 2990.00 3140.00 3280.00 3290.00 32189.26 1480.00 3240.00 32588.61 12161.62 1330.00 3270.00 3240.00 3250.00 323
tmp_tt18.61 29921.40 30110.23 3114.82 32510.11 32534.70 31830.74 3241.48 32123.91 31626.07 31928.42 29913.41 32427.12 31215.35 3207.17 318
wuyk23d16.82 30015.94 30219.46 31058.74 31331.45 31639.22 3173.74 3276.84 3206.04 3222.70 3231.27 32824.29 32310.54 32114.40 3212.63 319
ab-mvs-re7.23 3019.64 3030.00 3140.00 3280.00 3290.00 3210.00 3300.00 3240.00 32586.72 1650.00 3320.00 3270.00 3240.00 3250.00 323
test1236.12 3028.11 3040.14 3120.06 3270.09 32771.05 2840.03 3290.04 3230.25 3241.30 3250.05 3300.03 3260.21 3230.01 3240.29 320
testmvs6.04 3038.02 3050.10 3130.08 3260.03 32869.74 2880.04 3280.05 3220.31 3231.68 3240.02 3310.04 3250.24 3220.02 3220.25 321
pcd_1.5k_mvsjas5.26 3047.02 3060.00 3140.00 3280.00 3290.00 3210.00 3300.00 3240.00 3250.00 32663.15 980.00 3270.00 3240.00 3250.00 323
sosnet-low-res0.00 3050.00 3070.00 3140.00 3280.00 3290.00 3210.00 3300.00 3240.00 3250.00 3260.00 3320.00 3270.00 3240.00 3250.00 323
sosnet0.00 3050.00 3070.00 3140.00 3280.00 3290.00 3210.00 3300.00 3240.00 3250.00 3260.00 3320.00 3270.00 3240.00 3250.00 323
uncertanet0.00 3050.00 3070.00 3140.00 3280.00 3290.00 3210.00 3300.00 3240.00 3250.00 3260.00 3320.00 3270.00 3240.00 3250.00 323
Regformer0.00 3050.00 3070.00 3140.00 3280.00 3290.00 3210.00 3300.00 3240.00 3250.00 3260.00 3320.00 3270.00 3240.00 3250.00 323
uanet0.00 3050.00 3070.00 3140.00 3280.00 3290.00 3210.00 3300.00 3240.00 3250.00 3260.00 3320.00 3270.00 3240.00 3250.00 323
sam_mvs151.32 215
sam_mvs50.01 228
semantic-postprocess88.96 178
ambc75.24 24873.16 29750.51 28963.05 30887.47 19364.28 26777.81 27717.80 31489.73 21457.88 23360.64 29385.49 248
MTGPAbinary92.02 54
mvs-test182.41 6388.01 13165.80 13288.89 7289.15 15175.14 7980.77 7888.20 13269.61 4694.53 7475.75 8786.14 117
test_post178.90 2525.43 32248.81 23885.44 25759.25 220
test_post5.46 32150.36 22784.24 262
patchmatchnet-post74.00 28951.12 21888.60 234
GG-mvs-BLEND75.38 24781.59 24855.80 26479.32 24669.63 30467.19 24873.67 29143.24 26188.90 23250.41 26384.50 12981.45 282
MTMP32.83 323
gm-plane-assit81.40 25053.83 27462.72 23480.94 25692.39 16163.40 185
test9_res84.90 1595.70 1192.87 64
TEST993.26 3172.96 1888.75 7991.89 6368.44 18185.00 2593.10 3774.36 1595.41 44
test_893.13 3372.57 2788.68 8291.84 6668.69 17784.87 3193.10 3774.43 1295.16 52
agg_prior282.91 3595.45 1392.70 65
agg_prior92.85 3971.94 3691.78 6984.41 3794.93 61
TestCases79.58 20385.15 17563.62 18379.83 26362.31 23760.32 27986.73 16332.02 29688.96 22950.28 26471.57 25586.15 241
test_prior472.60 2689.01 70
test_prior288.85 7575.41 7284.91 2793.54 2774.28 1683.31 2895.86 5
test_prior86.33 4292.61 4469.59 6692.97 28