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.
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SteuartSystems-ACMMP88.72 188.86 188.32 292.14 1772.96 493.73 293.67 480.19 488.10 394.80 173.76 497.11 187.51 195.82 294.90 3
Skip Steuart: Steuart Systems R&D Blog.
DeepC-MVS79.81 287.08 786.88 787.69 591.16 2172.32 1190.31 2293.94 277.12 982.82 1194.23 472.13 797.09 284.83 595.37 493.65 11
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
NCCC88.06 388.01 388.24 394.41 273.62 291.22 1492.83 1181.50 185.79 493.47 973.02 697.00 384.90 494.94 794.10 9
DeepC-MVS_fast79.65 386.91 886.62 887.76 493.52 972.37 1091.26 1393.04 1076.62 1284.22 693.36 1171.44 896.76 480.82 1395.33 594.16 7
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+77.84 485.48 1284.47 1588.51 191.08 2273.49 393.18 393.78 380.79 376.66 4893.37 1060.40 5296.75 577.20 2593.73 1395.29 1
DeepPCF-MVS80.84 188.10 288.56 286.73 1292.24 1669.03 2889.57 2993.39 777.53 789.79 194.12 578.98 196.58 685.66 295.72 394.58 4
APD-MVS87.44 487.52 487.19 1094.24 372.39 991.86 1092.83 1173.01 3388.58 294.52 273.36 596.49 784.26 695.01 692.70 21
PHI-MVS86.43 986.17 1087.24 990.88 2470.96 1692.27 694.07 172.45 3585.22 591.90 1969.47 1196.42 883.28 895.94 194.35 5
ACMMPcopyleft85.89 1185.39 1187.38 893.59 872.63 792.74 493.18 976.78 1180.73 1993.82 864.33 2596.29 982.67 990.69 2593.23 16
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
DP-MVS Recon83.11 2382.09 2586.15 1694.44 170.92 1788.79 3692.20 1570.53 4779.17 2591.03 3164.12 2796.03 1068.39 4590.14 2991.50 34
HPM-MVS87.11 586.98 587.50 793.88 672.16 1292.19 793.33 876.07 1883.81 793.95 769.77 1096.01 1185.15 394.66 894.32 6
CP-MVS87.11 586.92 687.68 694.20 473.86 193.98 192.82 1376.62 1283.68 894.46 367.93 1395.95 1284.20 794.39 993.23 16
AdaColmapbinary80.58 4479.42 4484.06 4193.09 1268.91 3289.36 3188.97 5869.27 6075.70 5589.69 4057.20 5995.77 1363.06 6188.41 3887.50 91
DELS-MVS85.41 1385.30 1285.77 1888.49 5467.93 4185.52 6793.44 678.70 683.63 989.03 4874.57 395.71 1480.26 1594.04 1193.66 10
EPNet83.72 1782.92 1986.14 1784.22 8869.48 2691.05 1685.27 8181.30 276.83 4591.65 2166.09 1995.56 1576.00 2893.85 1293.38 14
HPM-MVS_fast85.35 1484.95 1386.57 1493.69 770.58 1992.15 891.62 2673.89 3082.67 1294.09 662.60 3395.54 1680.93 1192.93 1493.57 12
QAPM80.88 3879.50 4385.03 2288.01 6068.97 3191.59 1192.00 1866.63 7475.15 6592.16 1657.70 5695.45 1763.52 5888.76 3590.66 42
CSCG86.41 1086.19 987.07 1192.91 1372.48 890.81 1793.56 573.95 2983.16 1091.07 2975.94 295.19 1879.94 1694.38 1093.55 13
EPP-MVSNet83.40 2083.02 1884.57 3090.13 3064.47 7092.32 590.73 3574.45 2679.35 2491.10 2769.05 1295.12 1972.78 3687.22 4294.13 8
HQP4-MVS77.24 4095.11 2091.03 35
MG-MVS83.41 1983.45 1683.28 4992.74 1462.28 8388.17 4689.50 4575.22 2281.49 1492.74 1566.75 1695.11 2072.85 3591.58 2092.45 23
API-MVS81.99 3181.23 3184.26 3690.94 2370.18 2291.10 1589.32 4871.51 4178.66 2988.28 5865.26 2395.10 2264.74 5791.23 2287.51 90
PCF-MVS73.52 780.38 4678.84 4985.01 2387.71 6368.99 3083.65 8191.46 3063.00 9777.77 3690.28 3766.10 1895.09 2361.40 7388.22 3990.94 38
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
114514_t80.68 4279.51 4284.20 3794.09 567.27 4989.64 2891.11 3158.75 12074.08 7290.72 3358.10 5595.04 2469.70 4389.42 3490.30 48
LGP-MVS_train84.50 3289.23 4068.76 3491.94 2175.37 2076.64 4991.51 2454.29 7294.91 2578.44 1983.78 5689.83 57
LPG-MVS_test82.08 3081.27 3084.50 3289.23 4068.76 3490.22 2491.94 2175.37 2076.64 4991.51 2454.29 7294.91 2578.44 1983.78 5689.83 57
PAPM_NR83.02 2482.41 2284.82 2792.47 1566.37 5387.93 4991.80 2373.82 3177.32 3890.66 3467.90 1494.90 2770.37 4189.48 3393.19 18
PAPR81.66 3380.89 3283.99 4290.27 2864.00 7286.76 5491.77 2468.84 6377.13 4489.50 4367.63 1594.88 2867.55 4788.52 3793.09 20
PVSNet_Blended_VisFu82.62 2781.83 2884.96 2490.80 2569.76 2588.74 3791.70 2569.39 5878.96 2788.46 5565.47 2294.87 2974.42 3288.57 3690.24 49
DP-MVS76.78 7174.57 7683.42 4693.29 1069.46 2788.55 3983.70 9163.98 9470.20 9388.89 4954.01 7694.80 3046.66 12681.88 7086.01 108
3Dnovator76.31 583.38 2182.31 2386.59 1387.94 6172.94 590.64 1892.14 1777.21 875.47 5692.83 1358.56 5494.72 3173.24 3492.71 1592.13 26
IB-MVS68.01 1575.85 7973.36 8583.31 4884.76 8566.03 5483.38 8585.06 8370.21 5269.40 10181.05 11345.76 10394.66 3265.10 5475.49 10889.25 64
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
ACMP74.13 681.51 3480.57 3484.36 3489.42 3368.69 3789.97 2691.50 2974.46 2575.04 6790.41 3653.82 7794.54 3377.56 2382.91 6089.86 56
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
LS3D76.95 7074.82 7483.37 4790.45 2667.36 4889.15 3486.94 7261.87 10669.52 10090.61 3551.71 8894.53 3446.38 12986.71 4988.21 81
MAR-MVS81.84 3280.70 3385.27 2091.32 2071.53 1489.82 2790.92 3369.77 5478.50 3086.21 8362.36 3694.52 3565.36 5292.05 1789.77 59
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
CLD-MVS82.31 2981.65 2984.29 3588.47 5567.73 4485.81 6492.35 1475.78 1978.33 3186.58 8064.01 2894.35 3676.05 2787.48 4090.79 40
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
IS-MVSNet83.15 2282.81 2084.18 3889.94 3163.30 7491.59 1188.46 6279.04 579.49 2392.16 1665.10 2494.28 3767.71 4691.86 1894.95 2
PVSNet_Blended80.98 3780.34 3582.90 5688.85 4465.40 6184.43 7592.00 1867.62 6978.11 3385.05 9166.02 2094.27 3871.52 3989.50 3289.01 66
PVSNet_BlendedMVS80.60 4380.02 3882.36 6088.85 4465.40 6186.16 5792.00 1869.34 5978.11 3386.09 8466.02 2094.27 3871.52 3982.06 6787.39 92
Vis-MVSNetpermissive83.46 1882.80 2185.43 1990.25 2968.74 3690.30 2390.13 4276.33 1680.87 1892.89 1261.00 4894.20 4072.45 3890.97 2393.35 15
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS_111021_HR85.14 1584.75 1486.32 1591.65 1972.70 685.98 5990.33 4176.11 1782.08 1391.61 2371.36 994.17 4181.02 1092.58 1692.08 27
OpenMVScopyleft72.83 1079.77 4978.33 5384.09 4085.17 8269.91 2390.57 1990.97 3266.70 7372.17 8291.91 1854.70 6993.96 4261.81 7190.95 2488.41 78
OMC-MVS82.69 2681.97 2784.85 2688.75 4867.42 4587.98 4890.87 3474.92 2379.72 2191.65 2162.19 3993.96 4275.26 3086.42 5193.16 19
UGNet80.83 3979.59 4184.54 3188.04 5968.09 4089.42 3088.16 6376.95 1076.22 5289.46 4649.30 9593.94 4468.48 4490.31 2691.60 32
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
cascas76.72 7274.64 7582.99 5585.78 7965.88 5882.33 9089.21 5360.85 11072.74 7681.02 11447.28 9993.75 4567.48 4885.02 5489.34 63
PAPM77.68 6676.40 6681.51 6787.29 7161.85 8583.78 8089.59 4464.74 8771.23 8788.70 5162.59 3493.66 4652.66 11387.03 4689.01 66
PLCcopyleft70.83 1178.05 6376.37 6783.08 5391.88 1867.80 4288.19 4589.46 4664.33 9169.87 9888.38 5653.66 7993.58 4758.86 8882.73 6387.86 86
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
BH-untuned79.47 5278.60 5082.05 6289.19 4265.91 5786.07 5888.52 6172.18 3675.42 5887.69 6261.15 4693.54 4860.38 8086.83 4786.70 104
ACMM73.20 880.78 4179.84 3983.58 4589.31 3768.37 3889.99 2591.60 2770.28 5077.25 3989.66 4153.37 8093.53 4974.24 3382.85 6188.85 69
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test_djsdf80.30 4779.32 4683.27 5083.98 8965.37 6390.50 2090.38 3868.55 6576.19 5388.70 5156.44 6193.46 5078.98 1780.14 8390.97 37
MVSFormer82.85 2582.05 2685.24 2187.35 6970.21 2090.50 2090.38 3868.55 6581.32 1589.47 4461.68 4093.46 5078.98 1790.26 2792.05 28
BH-RMVSNet79.61 5078.44 5283.14 5289.38 3465.93 5684.95 7087.15 6973.56 3278.19 3289.79 3956.67 6093.36 5259.53 8686.74 4890.13 51
TAPA-MVS73.13 979.15 5377.94 5482.79 5789.59 3262.99 8088.16 4791.51 2865.77 8077.14 4391.09 2860.91 4993.21 5350.26 11987.05 4592.17 25
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
LTVRE_ROB69.57 1376.25 7574.54 7781.41 6888.60 5164.38 7179.24 10889.12 5470.76 4569.79 9987.86 5949.09 9693.20 5456.21 10280.16 8186.65 105
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
ACMH+68.96 1476.01 7774.01 8082.03 6388.60 5165.31 6488.86 3587.55 6870.25 5167.75 10787.47 6541.27 11793.19 5558.37 9175.94 10587.60 89
TR-MVS77.44 6776.18 6881.20 7288.24 5763.24 7584.61 7486.40 7767.55 7077.81 3586.48 8254.10 7493.15 5657.75 9582.72 6487.20 95
BH-w/o78.21 6077.33 6080.84 7688.81 4765.13 6784.87 7187.85 6569.75 5574.52 7084.74 9361.34 4393.11 5758.24 9385.84 5384.27 116
CPTT-MVS83.73 1683.33 1784.92 2593.28 1170.86 1892.09 990.38 3868.75 6479.57 2292.83 1360.60 5193.04 5880.92 1291.56 2190.86 39
F-COLMAP76.38 7474.33 7882.50 5889.28 3866.95 5188.41 4089.03 5564.05 9366.83 11188.61 5346.78 10192.89 5957.48 9678.55 8887.67 88
test_040272.79 10070.44 10479.84 8388.13 5865.99 5585.93 6184.29 8765.57 8267.40 10985.49 8846.92 10092.61 6035.88 13874.38 11380.94 124
SixPastTwentyTwo73.37 9371.26 9879.70 8585.08 8357.89 10685.57 6583.56 9271.03 4465.66 11685.88 8542.10 11492.57 6159.11 8763.34 13288.65 73
EG-PatchMatch MVS74.04 8871.82 9280.71 7884.92 8467.42 4585.86 6388.08 6466.04 7864.22 12083.85 9435.10 13292.56 6257.44 9780.83 7682.16 122
COLMAP_ROBcopyleft66.92 1773.01 9970.41 10580.81 7787.13 7265.63 6088.30 4484.19 8862.96 9863.80 12287.69 6238.04 12692.56 6246.66 12674.91 11084.24 117
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
MVSTER79.01 5577.88 5582.38 5983.07 9764.80 6884.08 7888.95 5969.01 6278.69 2887.17 7154.70 6992.43 6474.69 3180.57 7989.89 55
IterMVS-LS80.06 4879.38 4582.11 6185.89 7863.20 7686.79 5389.34 4774.19 2775.45 5786.72 7466.62 1792.39 6572.58 3776.86 10090.75 41
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
lupinMVS81.39 3580.27 3784.76 2887.35 6970.21 2085.55 6686.41 7662.85 9981.32 1588.61 5361.68 4092.24 6678.41 2190.26 2791.83 30
jason81.39 3580.29 3684.70 2986.63 7569.90 2485.95 6086.77 7363.24 9581.07 1789.47 4461.08 4792.15 6778.33 2290.07 3192.05 28
jason: jason.
XVG-ACMP-BASELINE76.11 7674.27 7981.62 6683.20 9464.67 6983.60 8389.75 4369.75 5571.85 8387.09 7232.78 13392.11 6869.99 4280.43 8088.09 83
tpmp4_e2373.45 9271.17 9980.31 8283.55 9259.56 9781.88 9282.33 10257.94 12470.51 9281.62 10951.19 9291.63 6953.96 10877.51 9689.75 60
OurMVSNet-221017-074.26 8772.42 8879.80 8483.76 9059.59 9685.92 6286.64 7466.39 7666.96 11087.58 6439.46 12191.60 7065.76 5069.27 12588.22 80
ACMH67.68 1675.89 7873.93 8181.77 6588.71 4966.61 5288.62 3889.01 5769.81 5366.78 11286.70 7741.95 11691.51 7155.64 10378.14 9387.17 96
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
XVG-OURS80.41 4579.23 4783.97 4385.64 8069.02 2983.03 8790.39 3771.09 4377.63 3791.49 2654.62 7191.35 7275.71 2983.47 5891.54 33
lessismore_v078.97 9481.01 11657.15 11165.99 14061.16 12682.82 10139.12 12391.34 7359.67 8346.92 14288.43 77
XVG-OURS-SEG-HR80.81 4079.76 4083.96 4485.60 8168.78 3383.54 8490.50 3670.66 4676.71 4791.66 2060.69 5091.26 7476.94 2681.58 7291.83 30
tpm273.26 9671.46 9478.63 9683.34 9356.71 11380.65 10080.40 11356.63 12673.55 7382.02 10751.80 8791.24 7556.35 10178.42 9187.95 84
OpenMVS_ROBcopyleft64.09 1970.56 11168.19 11477.65 10280.26 12259.41 9985.01 6982.96 9658.76 11965.43 11882.33 10437.63 12891.23 7645.34 13176.03 10482.32 120
GBi-Net78.40 5777.40 5881.40 6987.60 6463.01 7788.39 4189.28 4971.63 3875.34 6087.28 6654.80 6691.11 7762.72 6279.57 8490.09 52
test178.40 5777.40 5881.40 6987.60 6463.01 7788.39 4189.28 4971.63 3875.34 6087.28 6654.80 6691.11 7762.72 6279.57 8490.09 52
FMVSNet177.44 6776.12 6981.40 6986.81 7463.01 7788.39 4189.28 4970.49 4874.39 7187.28 6649.06 9791.11 7760.91 7778.52 8990.09 52
FMVSNet377.88 6576.85 6380.97 7586.84 7362.36 8286.52 5688.77 6071.13 4275.34 6086.66 7954.07 7591.10 8062.72 6279.57 8489.45 62
FMVSNet278.20 6177.21 6181.20 7287.60 6462.89 8187.47 5189.02 5671.63 3875.29 6487.28 6654.80 6691.10 8062.38 6679.38 8789.61 61
K. test v371.19 10768.51 11179.21 9183.04 9857.78 10884.35 7776.91 12572.90 3462.99 12482.86 10039.27 12291.09 8261.65 7252.66 14088.75 71
CostFormer75.24 8373.90 8279.27 8982.65 10558.27 10380.80 9782.73 9861.57 10775.33 6383.13 9955.52 6491.07 8364.98 5678.34 9288.45 76
MSDG73.36 9570.99 10080.49 7984.51 8765.80 5980.71 9986.13 8065.70 8165.46 11783.74 9544.60 10690.91 8451.13 11776.89 9984.74 115
TAMVS78.89 5677.51 5783.03 5487.80 6267.79 4384.72 7385.05 8467.63 6876.75 4687.70 6162.25 3890.82 8558.53 9087.13 4490.49 44
CDS-MVSNet79.07 5477.70 5683.17 5187.60 6468.23 3984.40 7686.20 7867.49 7176.36 5186.54 8161.54 4290.79 8661.86 7087.33 4190.49 44
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVS_111021_LR82.61 2882.11 2484.11 3988.82 4671.58 1385.15 6886.16 7974.69 2480.47 2091.04 3062.29 3790.55 8780.33 1490.08 3090.20 50
HY-MVS69.67 1277.95 6477.15 6280.36 8087.57 6860.21 9283.37 8687.78 6666.11 7775.37 5987.06 7363.27 2990.48 8861.38 7482.43 6690.40 47
ab-mvs79.51 5178.97 4881.14 7488.46 5660.91 8883.84 7989.24 5270.36 4979.03 2688.87 5063.23 3190.21 8965.12 5382.57 6592.28 24
Test473.95 8972.20 8979.21 9182.91 10158.94 10081.25 9682.17 10465.21 8371.05 8982.44 10244.21 10890.17 9063.29 5977.28 9788.53 74
PatchFormer_test73.70 9071.86 9179.21 9182.91 10158.94 10082.34 8882.17 10465.21 8371.05 8978.31 12344.21 10890.17 9063.29 5977.28 9788.53 74
PT_06_test75.20 8473.77 8379.49 8882.69 10460.19 9382.34 8886.99 7169.71 5772.52 7978.31 12356.27 6290.07 9262.03 6973.11 11788.23 79
1112_ss77.40 6976.43 6580.32 8189.11 4360.41 9183.65 8187.72 6762.13 10473.05 7486.72 7462.58 3589.97 9362.11 6880.80 7790.59 43
Vis-MVSNet (Re-imp)78.36 5978.45 5178.07 10188.64 5051.78 12686.70 5579.63 11874.14 2875.11 6690.83 3261.29 4589.75 9458.10 9491.60 1992.69 22
USDC70.33 11268.37 11276.21 10980.60 11956.23 11779.19 11086.49 7560.89 10961.29 12585.47 8931.78 13489.47 9553.37 11076.21 10382.94 119
Test_1112_low_res76.40 7375.44 7279.27 8989.28 3858.09 10481.69 9387.07 7059.53 11772.48 8086.67 7861.30 4489.33 9660.81 7980.15 8290.41 46
PatchFormer-LS_test74.50 8573.05 8678.86 9582.95 10059.55 9881.65 9482.30 10367.44 7271.62 8678.15 12552.34 8388.92 9765.05 5575.90 10688.12 82
EPNet_dtu75.46 8174.86 7377.23 10482.57 10654.60 12086.89 5283.09 9471.64 3766.25 11485.86 8655.99 6388.04 9854.92 10486.55 5089.05 65
TDRefinement67.49 11964.34 12376.92 10573.47 13461.07 8784.86 7282.98 9559.77 11558.30 13185.13 9026.06 13687.89 9947.92 12460.59 13481.81 123
tpm cat170.57 11068.31 11377.35 10382.41 10857.95 10578.08 11180.22 11652.04 13268.54 10577.66 12652.00 8687.84 10051.77 11472.07 11986.25 107
TinyColmap67.30 12164.81 12274.76 11581.92 11056.68 11480.29 10281.49 10960.33 11256.27 13683.22 9824.77 13787.66 10145.52 13069.47 12479.95 127
ITE_SJBPF78.22 10081.77 11160.57 9083.30 9369.25 6167.54 10887.20 7036.33 13187.28 10254.34 10674.62 11286.80 102
MDTV_nov1_ep1369.97 10683.18 9553.48 12277.10 11480.18 11760.45 11169.33 10380.44 11748.89 9886.90 10351.60 11578.51 90
RPMNet71.62 10568.94 10979.67 8681.32 11465.19 6575.92 11778.30 12257.60 12572.73 7776.45 13052.30 8486.69 10448.14 12377.71 9487.11 98
CR-MVSNet73.37 9371.27 9779.67 8681.32 11465.19 6575.92 11780.30 11459.92 11472.73 7781.19 11152.50 8186.69 10459.84 8277.71 9487.11 98
Patchmtry70.74 10869.16 10875.49 11280.72 11754.07 12174.94 12480.30 11458.34 12170.01 9581.19 11152.50 8186.54 10653.37 11071.09 12285.87 110
JIA-IIPM66.32 12362.82 12476.82 10677.09 12861.72 8665.34 13675.38 12858.04 12364.51 11962.32 13942.05 11586.51 10751.45 11669.22 12682.21 121
CMPMVSbinary51.72 2170.19 11368.16 11576.28 10873.15 13557.55 10979.47 10783.92 8948.02 13756.48 13584.81 9243.13 11086.42 10862.67 6581.81 7184.89 114
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
CNLPA78.08 6276.79 6481.97 6490.40 2771.07 1587.59 5084.55 8566.03 7972.38 8189.64 4257.56 5786.04 10959.61 8483.35 5988.79 70
PatchmatchNetpermissive73.12 9871.33 9678.49 9883.18 9560.85 8979.63 10578.57 12164.13 9271.73 8479.81 12051.20 9185.97 11057.40 9876.36 10288.66 72
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
IterMVS74.29 8672.94 8778.35 9981.53 11363.49 7381.58 9582.49 9968.06 6769.99 9783.69 9651.66 8985.54 11165.85 4971.64 12186.01 108
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PatchMatch-RL72.38 10270.90 10176.80 10788.60 5167.38 4779.53 10676.17 12662.75 10169.36 10282.00 10845.51 10484.89 11253.62 10980.58 7878.12 131
RPSCF73.23 9771.46 9478.54 9782.50 10759.85 9582.18 9182.84 9758.96 11871.15 8889.41 4745.48 10584.77 11358.82 8971.83 12091.02 36
MIMVSNet168.58 11766.78 11973.98 11880.07 12351.82 12580.77 9884.37 8664.40 9059.75 12882.16 10636.47 13083.63 11442.73 13270.33 12386.48 106
PVSNet64.34 1872.08 10470.87 10275.69 11086.21 7756.44 11574.37 12580.73 11162.06 10570.17 9482.23 10542.86 11283.31 11554.77 10584.45 5587.32 94
tpm72.37 10371.71 9374.35 11682.19 10952.00 12479.22 10977.29 12364.56 8972.95 7583.68 9751.35 9083.26 11658.33 9275.80 10787.81 87
HyFIR71.37 10670.50 10373.97 11980.52 12159.87 9470.92 13082.42 10056.28 12765.84 11576.50 12953.72 7883.21 11761.07 7687.21 4378.84 129
tpmrst72.39 10172.13 9073.18 12180.54 12049.91 13279.91 10479.08 12063.11 9671.69 8579.95 11855.32 6582.77 11865.66 5173.89 11686.87 101
MVS-HIRNet59.14 12857.67 12963.57 13381.65 11243.50 13871.73 12865.06 14139.59 14051.43 13957.73 14038.34 12582.58 11939.53 13473.95 11564.62 138
FMVSNet569.50 11467.96 11774.15 11782.97 9955.35 11880.01 10382.12 10662.56 10263.02 12381.53 11036.92 12981.92 12048.42 12274.06 11485.17 113
PatchT68.46 11867.85 11870.29 12780.70 11843.93 13772.47 12774.88 13060.15 11370.55 9176.57 12849.94 9381.59 12150.58 11874.83 11185.34 112
MIMVSNet70.69 10969.30 10774.88 11484.52 8656.35 11675.87 11979.42 11964.59 8867.76 10682.41 10341.10 11881.54 12246.64 12881.34 7386.75 103
WTY-MVS75.65 8075.68 7075.57 11186.40 7656.82 11277.92 11282.40 10165.10 8676.18 5487.72 6063.13 3280.90 12360.31 8181.96 6889.00 68
dp66.80 12265.43 12170.90 12679.74 12448.82 13575.12 12374.77 13159.61 11664.08 12177.23 12742.89 11180.72 12448.86 12166.58 12883.16 118
LP61.36 12757.78 12872.09 12275.54 13158.53 10267.16 13575.22 12951.90 13354.13 13769.97 13537.73 12780.45 12532.74 14155.63 13777.29 132
XXY-MVS75.41 8275.56 7174.96 11383.59 9157.82 10780.59 10183.87 9066.54 7574.93 6888.31 5763.24 3080.09 12662.16 6776.85 10186.97 100
no-one51.08 13445.79 13766.95 13157.92 14450.49 13159.63 14176.04 12748.04 13631.85 14356.10 14319.12 14280.08 12736.89 13726.52 14470.29 136
UnsupCasMVSNet_bld63.70 12561.53 12670.21 12873.69 13251.39 12972.82 12681.89 10755.63 12957.81 13271.80 13338.67 12478.61 12849.26 12052.21 14180.63 125
PMMVS69.34 11568.67 11071.35 12575.67 13062.03 8475.17 12073.46 13250.00 13568.68 10479.05 12152.07 8578.13 12961.16 7582.77 6273.90 134
sss73.60 9173.64 8473.51 12082.80 10355.01 11976.12 11681.69 10862.47 10374.68 6985.85 8757.32 5878.11 13060.86 7880.93 7587.39 92
EPMVS69.02 11668.16 11571.59 12379.61 12549.80 13377.40 11366.93 13962.82 10070.01 9579.05 12145.79 10277.86 13156.58 10075.26 10987.13 97
PVSNet_057.27 2061.67 12659.27 12768.85 13079.61 12557.44 11068.01 13473.44 13355.93 12858.54 13070.41 13444.58 10777.55 13247.01 12535.91 14371.55 135
UnsupCasMVSNet_eth67.33 12065.99 12071.37 12473.48 13351.47 12875.16 12185.19 8265.20 8560.78 12780.93 11642.35 11377.20 13357.12 9953.69 13985.44 111
LF4IMVS64.02 12462.19 12569.50 12970.90 13753.29 12376.13 11577.18 12452.65 13158.59 12980.98 11523.55 13876.52 13453.06 11266.66 12778.68 130
PMVScopyleft37.38 2244.16 13840.28 13955.82 13840.82 14842.54 13965.12 13763.99 14234.43 14224.48 14657.12 1423.92 14776.17 13517.10 14755.52 13848.75 142
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Gipumacopyleft45.18 13741.86 13855.16 13977.03 12951.52 12732.50 14580.52 11232.46 14327.12 14535.02 1479.52 14675.50 13622.31 14560.21 13538.45 146
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
ANet_high50.57 13646.10 13663.99 13248.67 14539.13 14170.99 12980.85 11061.39 10831.18 14457.70 14117.02 14373.65 13731.22 14215.89 14979.18 128
testpf56.51 13057.58 13053.30 14071.99 13641.19 14046.89 14369.32 13758.06 12252.87 13869.45 13627.99 13572.73 13859.59 8562.07 13345.98 144
HyFIR lowres test51.79 13350.01 13557.11 13768.82 13849.21 13460.50 13953.26 14534.52 14143.77 14164.94 13820.34 14171.75 13939.87 13364.06 13150.39 141
wuykxyi23d39.76 13933.18 14159.51 13646.98 14644.01 13657.70 14267.74 13824.13 14613.98 15034.33 1481.27 15071.33 14034.23 14018.23 14763.18 139
FPMVS53.68 13151.64 13359.81 13565.08 14151.03 13069.48 13269.58 13541.46 13840.67 14272.32 13216.46 14470.00 14124.24 14465.42 12958.40 140
DSMNet-mixed57.77 12956.90 13160.38 13467.70 14035.61 14369.18 13353.97 14432.30 14557.49 13379.88 11940.39 12068.57 14238.78 13572.37 11876.97 133
N_pmnet52.79 13253.26 13251.40 14278.99 1277.68 14969.52 1313.89 14951.63 13457.01 13474.98 13140.83 11965.96 14337.78 13664.67 13080.56 126
PNet_i23d38.26 14035.42 14046.79 14358.74 14235.48 14459.65 14051.25 14632.45 14423.44 14847.53 1452.04 14958.96 14425.60 14318.09 14845.92 145
new_pmnet50.91 13550.29 13452.78 14168.58 13934.94 14663.71 13856.63 14339.73 13944.95 14065.47 13721.93 13958.48 14534.98 13956.62 13664.92 137
MVEpermissive26.22 2330.37 14125.89 14243.81 14444.55 14735.46 14528.87 14639.07 14718.20 14718.58 14940.18 1462.68 14847.37 14617.07 14823.78 14648.60 143
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DeepMVS_CXcopyleft27.40 14540.17 14926.90 14824.59 14817.44 14823.95 14748.61 1449.77 14526.48 14718.06 14624.47 14528.83 147
wuyk23d16.82 14215.94 14319.46 14658.74 14231.45 14739.22 1443.74 1506.84 1496.04 1512.70 1491.27 15024.29 14810.54 14914.40 1502.63 148
ab-mvs-re7.23 1439.64 1440.00 1470.00 1500.00 1500.00 1470.00 1510.00 1500.00 15286.72 740.00 1520.00 1490.00 1500.00 1510.00 149
Test By Simon64.33 25
HQP-MVS21.25 140
ACMMP++81.25 74
ACMMP++_ref81.95 69
MDTV_nov1_ep13_2view37.79 14275.16 12155.10 13066.53 11349.34 9453.98 10787.94 85
NP-MVS90.24 38
HQP2-MVS60.17 53
HQP3-MVS92.19 1685.99 52
BP-MVS77.47 24
ACMP_Plane89.33 3589.17 3276.41 1477.23 41
HQP-NCC89.33 3589.17 3276.41 1477.23 41
HQP5-MVS66.98 50
door69.44 136
door-mid69.98 134