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
DELS-MVS90.05 190.09 289.94 193.14 1973.88 297.01 194.40 1388.32 185.71 794.91 1374.11 398.91 287.26 695.94 197.03 2
DeepPCF-MVS81.17 189.72 291.38 184.72 4493.00 2158.16 10096.72 294.41 1286.50 390.25 197.83 175.46 198.67 792.78 195.49 397.32 1
NCCC89.07 389.46 387.91 596.60 369.05 2296.38 494.64 784.42 586.74 596.20 366.56 1798.76 689.03 394.56 595.92 12
DeepC-MVS_fast79.48 287.95 488.00 587.79 795.86 968.32 2895.74 794.11 1683.82 683.49 1296.19 464.53 2498.44 1083.42 1794.88 496.61 4
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
EPNet87.84 588.38 486.23 3093.30 1766.05 4795.26 1294.84 687.09 288.06 294.53 1566.79 1697.34 2283.89 1591.68 1795.29 19
lupinMVS87.74 687.77 687.63 989.24 5771.18 896.57 392.90 2982.70 887.13 395.27 864.99 2095.80 4289.34 291.80 1595.93 11
MG-MVS87.11 786.27 1089.62 297.79 176.27 194.96 1694.49 978.74 2583.87 1192.94 3164.34 2596.94 2975.19 3494.09 795.66 13
CSCG86.87 886.26 1188.72 395.05 1270.79 1093.83 2395.33 168.48 8277.63 2894.35 1673.04 498.45 984.92 1393.71 996.92 3
PHI-MVS86.83 986.85 986.78 2093.47 1665.55 5395.39 1195.10 471.77 6285.69 896.52 262.07 3698.77 586.06 1095.60 296.03 8
SteuartSystems-ACMMP86.82 1086.90 786.58 2390.42 4366.38 4596.09 693.87 1777.73 2984.01 1095.66 663.39 3097.94 1587.40 593.55 1195.42 15
Skip Steuart: Steuart Systems R&D Blog.
PVSNet_Blended86.73 1186.86 886.31 2993.76 1467.53 3896.33 593.61 2282.34 981.00 1593.08 2863.19 3197.29 2387.08 791.38 1994.13 33
jason86.40 1286.17 1287.11 1886.16 8470.54 1295.71 892.19 3782.00 1484.58 994.34 1761.86 3795.53 5087.76 490.89 2295.27 20
jason: jason.
WTY-MVS86.32 1385.81 1487.85 692.82 2569.37 2095.20 1395.25 282.71 781.91 1494.73 1467.93 1297.63 1879.55 2382.25 4996.54 5
MVS_111021_HR86.19 1485.80 1587.37 1393.17 1869.79 1893.99 2293.76 1879.08 2278.88 2393.99 1962.25 3598.15 1385.93 1191.15 2194.15 32
APD-MVS85.93 1585.99 1385.76 3795.98 865.21 5693.59 2892.58 3366.54 8586.17 695.88 563.83 2897.00 2686.39 992.94 1395.06 23
PAPM85.89 1685.46 1687.18 1588.20 7572.42 392.41 4092.77 3182.11 1280.34 1793.07 2968.27 1195.02 5378.39 2793.59 1094.09 36
DeepC-MVS77.85 385.52 1785.24 1786.37 2688.80 6566.64 4392.15 4393.68 2081.07 1576.91 3493.64 2262.59 3498.44 1085.50 1292.84 1494.03 38
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PAPR85.15 1884.47 1887.18 1596.02 768.29 2991.85 5493.00 2876.59 3579.03 2295.00 961.59 3897.61 1978.16 2889.00 2995.63 14
HY-MVS76.49 584.28 1983.36 2387.02 1992.22 2967.74 3584.65 9094.50 879.15 2082.23 1387.93 6866.88 1596.94 2980.53 2182.20 5096.39 6
MAR-MVS84.18 2083.43 2086.44 2496.25 565.93 4994.28 1894.27 1574.41 4279.16 2195.61 753.99 6498.88 469.62 5293.26 1294.50 29
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
PVSNet_Blended_VisFu83.97 2183.50 1985.39 3990.02 4666.59 4493.77 2491.73 4477.43 3277.08 3389.81 6063.77 2996.97 2779.67 2288.21 3192.60 54
PatchFormer_test83.95 2282.80 2687.41 1192.90 2370.07 1589.12 7594.42 1082.15 1077.64 2691.77 4270.81 796.22 3565.03 6781.36 5295.94 9
MVSFormer83.75 2382.88 2586.37 2689.24 5771.18 889.07 7790.69 5965.80 8887.13 394.34 1764.99 2092.67 9072.83 3891.80 1595.27 20
CP-MVS83.71 2483.40 2284.65 4593.14 1963.84 6794.59 1792.28 3571.03 6677.41 3094.92 1255.21 5796.19 3781.32 2090.70 2393.91 39
PVSNet_BlendedMVS83.38 2583.43 2083.22 6293.76 1467.53 3894.06 1993.61 2279.13 2181.00 1585.14 7963.19 3197.29 2387.08 773.91 8284.83 104
HPM-MVS83.25 2682.95 2484.17 4992.25 2862.88 7890.91 5991.86 4270.30 7277.12 3293.96 2056.75 4996.28 3482.04 1891.34 2093.34 44
PatchFormer-LS_test83.14 2781.81 3287.12 1792.34 2769.92 1788.64 8093.32 2582.07 1374.87 4191.62 4768.91 1096.08 4066.07 6278.45 6495.37 16
PAPM_NR82.97 2881.84 3186.37 2694.10 1366.76 4287.66 8692.84 3069.96 7574.07 4793.57 2363.10 3397.50 2070.66 4790.58 2594.85 24
CLD-MVS82.73 2982.35 2883.86 5287.90 7867.65 3795.45 1092.18 3885.06 472.58 5592.27 3852.46 6695.78 4384.18 1479.06 6288.16 84
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
Test482.73 2981.18 3687.41 1192.90 2370.07 1583.48 9694.42 1082.15 1077.64 2682.78 8570.81 796.22 3565.03 6781.36 5295.94 9
DP-MVS Recon82.73 2981.65 3385.98 3297.31 267.06 4095.15 1591.99 3969.08 8076.50 3693.89 2154.48 6098.20 1270.76 4685.66 4092.69 51
sss82.71 3282.38 2783.73 5689.25 5559.58 9692.24 4294.89 577.96 2779.86 2092.38 3656.70 5097.05 2577.26 3080.86 5694.55 28
3Dnovator73.91 682.69 3380.82 3888.31 489.57 5171.26 792.60 3894.39 1478.84 2467.89 8292.48 3548.42 7798.52 868.80 5594.40 695.15 22
MVSTER82.47 3482.05 2983.74 5492.68 2669.01 2391.90 5293.21 2679.83 1672.14 6085.71 7774.72 294.72 6175.72 3272.49 8987.50 86
CostFormer82.33 3581.15 3785.86 3489.01 6168.46 2682.39 10193.01 2775.59 3880.25 1881.57 9172.03 694.96 5579.06 2477.48 6894.16 31
API-MVS82.28 3680.53 4287.54 1096.13 670.59 1193.63 2691.04 5665.72 9075.45 3992.83 3256.11 5498.89 364.10 7289.75 2893.15 47
IB-MVS77.80 482.18 3780.46 4387.35 1489.14 5970.28 1495.59 995.17 378.85 2370.19 6885.82 7570.66 997.67 1672.19 4366.52 11194.09 36
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
3Dnovator+73.60 782.10 3880.60 4186.60 2290.89 4066.80 4195.20 1393.44 2474.05 4567.42 8492.49 3449.46 7497.65 1770.80 4591.68 1795.33 17
MVS_111021_LR82.02 3981.52 3483.51 5988.42 7262.88 7889.77 7188.93 8376.78 3475.55 3893.10 2750.31 7295.38 5283.82 1687.02 3592.26 61
PMMVS81.98 4082.04 3081.78 7889.76 4956.17 10991.13 5890.69 5977.96 2780.09 1993.57 2346.33 8694.99 5481.41 1987.46 3394.17 30
EPP-MVSNet81.79 4181.52 3482.61 7088.77 6660.21 9093.02 3293.66 2168.52 8172.90 5290.39 5672.19 594.96 5574.93 3579.29 6192.67 52
ACMMPcopyleft81.49 4280.67 4083.93 5191.71 3162.90 7792.13 4492.22 3671.79 6171.68 6393.49 2550.32 7196.96 2878.47 2684.22 4391.93 63
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
CDS-MVSNet81.43 4380.74 3983.52 5886.26 8364.45 6292.09 4790.65 6275.83 3773.95 4889.81 6063.97 2792.91 8671.27 4482.82 4793.20 46
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
Vis-MVSNetpermissive80.92 4479.98 4483.74 5488.48 6961.80 8293.44 3088.26 9473.96 4677.73 2591.76 4449.94 7394.76 5965.84 6590.37 2694.65 27
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
tpmrst80.57 4579.14 5384.84 4290.10 4568.28 3081.70 10389.72 7477.63 3175.96 3779.54 10464.94 2292.71 8975.43 3377.28 7193.55 42
1112_ss80.56 4679.83 4582.77 6788.65 6760.78 8692.29 4188.36 9172.58 5472.46 5794.95 1065.09 1993.42 8066.38 6177.71 6694.10 35
BH-w/o80.49 4779.30 5084.05 5090.83 4164.36 6693.60 2789.42 7774.35 4369.09 7690.15 5855.23 5695.61 4864.61 6986.43 3892.17 62
TAMVS80.37 4879.45 4883.13 6485.14 9063.37 7291.23 5790.76 5874.81 4172.65 5488.49 6460.63 4292.95 8469.41 5381.95 5193.08 48
HPM-MVS_fast80.25 4979.55 4782.33 7391.55 3359.95 9291.32 5689.16 7965.23 9274.71 4293.07 2947.81 8395.74 4474.87 3688.23 3091.31 67
ab-mvs80.18 5078.31 5785.80 3588.44 7165.49 5583.00 10092.67 3271.82 6077.36 3185.01 8054.50 5996.59 3176.35 3175.63 7695.32 18
IS-MVSNet80.14 5179.41 4982.33 7387.91 7760.08 9191.97 5088.27 9372.90 5371.44 6491.73 4661.44 3993.66 7962.47 7586.53 3693.24 45
PVSNet73.49 880.05 5278.63 5584.31 4790.92 3864.97 6092.47 3991.05 5579.18 1972.43 5890.51 5537.05 10694.06 7068.06 5686.00 3993.90 40
QAPM79.95 5377.39 6387.64 889.63 5071.41 693.30 3193.70 1965.34 9167.39 8591.75 4547.83 8298.96 157.71 8789.81 2792.54 56
UGNet79.87 5478.68 5483.45 6189.96 4761.51 8492.13 4490.79 5776.83 3378.85 2486.33 7238.16 10096.17 3867.93 5787.17 3492.67 52
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
tpm279.80 5577.95 5885.34 4088.28 7368.26 3181.56 10591.42 4870.11 7377.59 2980.50 9667.40 1394.26 6767.34 5977.35 6993.51 43
CPTT-MVS79.59 5679.16 5280.89 8591.54 3459.80 9492.10 4688.54 9060.42 10972.96 5193.28 2648.27 7892.80 8778.89 2586.50 3790.06 76
Test_1112_low_res79.56 5778.60 5682.43 7188.24 7460.39 8892.09 4787.99 9772.10 5871.84 6187.42 7064.62 2393.04 8265.80 6677.30 7093.85 41
BH-RMVSNet79.46 5877.65 6184.89 4191.68 3265.66 5293.55 2988.09 9572.93 5273.37 5091.12 5046.20 8796.12 3956.28 9185.61 4192.91 50
PCF-MVS73.15 979.29 5977.63 6284.29 4886.06 8565.96 4887.03 8891.10 5469.86 7669.79 7390.64 5157.54 4696.59 3164.37 7182.29 4890.32 74
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Vis-MVSNet (Re-imp)79.24 6079.57 4678.24 10188.46 7052.29 11990.41 6589.12 8074.24 4469.13 7591.91 4165.77 1890.09 11359.00 8488.09 3292.33 59
114514_t79.17 6177.67 6083.68 5795.32 1165.53 5492.85 3491.60 4763.49 9667.92 8190.63 5346.65 8595.72 4667.01 6083.54 4489.79 77
AdaColmapbinary78.94 6277.00 6784.76 4396.34 465.86 5192.66 3787.97 9862.18 10170.56 6692.37 3743.53 9297.35 2164.50 7082.86 4691.05 69
tpmp4_e2378.85 6376.55 6885.77 3689.25 5568.39 2781.63 10491.38 5070.40 7075.21 4079.22 10667.37 1494.79 5858.98 8575.51 7794.13 33
EPNet_dtu78.80 6479.26 5177.43 10588.06 7649.71 12691.96 5191.95 4177.67 3076.56 3591.28 4958.51 4390.20 11156.37 9080.95 5592.39 58
TR-MVS78.77 6577.37 6482.95 6590.49 4260.88 8593.67 2590.07 6870.08 7474.51 4391.37 4845.69 8895.70 4760.12 7780.32 5792.29 60
BH-untuned78.68 6677.08 6583.48 6089.84 4863.74 6892.70 3688.59 8971.57 6366.83 8988.65 6351.75 6995.39 5159.03 8384.77 4291.32 66
OMC-MVS78.67 6777.91 5980.95 8485.76 8857.40 10588.49 8188.67 8773.85 4772.43 5892.10 3949.29 7594.55 6372.73 4077.89 6590.91 70
tpm78.58 6877.03 6683.22 6285.94 8664.56 6183.21 9991.14 5378.31 2673.67 4979.68 10264.01 2692.09 9866.07 6271.26 9493.03 49
OpenMVScopyleft70.45 1178.54 6975.92 7286.41 2585.93 8771.68 492.74 3592.51 3466.49 8664.56 9691.96 4043.88 9198.10 1454.61 9390.65 2489.44 80
EPMVS78.49 7075.98 7186.02 3191.21 3669.68 1980.23 11191.20 5175.25 4072.48 5678.11 10854.65 5893.69 7857.66 8883.04 4594.69 26
cascas78.18 7175.77 7385.41 3887.14 8169.11 2192.96 3391.15 5266.71 8470.47 6786.07 7337.49 10396.48 3370.15 4979.80 5990.65 71
XXY-MVS77.94 7276.44 6982.43 7182.60 10764.44 6392.01 4991.83 4373.59 4970.00 7085.82 7554.43 6194.76 5969.63 5168.02 10888.10 85
HyFIR77.94 7275.03 7586.66 2190.91 3971.56 582.25 10288.91 8466.06 8768.16 8069.11 12956.65 5192.27 9559.29 8293.97 896.14 7
FMVSNet377.73 7476.04 7082.80 6691.20 3768.99 2491.87 5391.99 3973.35 5067.04 8683.19 8456.62 5292.14 9759.80 7969.34 9787.28 87
PatchmatchNetpermissive77.46 7574.63 7685.96 3389.55 5270.35 1379.97 11389.55 7672.23 5770.94 6576.91 11457.03 4892.79 8854.27 9681.17 5494.74 25
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
IterMVS-LS76.49 7675.18 7480.43 8684.49 9562.74 8090.64 6288.80 8572.40 5665.16 9281.72 9060.98 4092.27 9567.74 5864.65 11486.29 94
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
FMVSNet276.07 7774.01 7982.26 7688.85 6267.66 3691.33 5591.61 4670.84 6765.98 9082.25 8748.03 7992.00 9958.46 8668.73 10387.10 88
PT_06_test75.88 7873.82 8282.06 7783.64 10365.93 4989.12 7591.40 4975.33 3964.50 9791.77 4251.90 6794.00 7354.55 9462.20 11786.26 95
LPG-MVS_test75.82 7974.58 7779.56 9584.31 9859.37 9790.44 6489.73 7269.49 7864.86 9388.42 6538.65 9794.30 6572.56 4172.76 8685.01 102
test175.65 8073.83 8081.10 8088.85 6265.11 5790.01 6790.32 6370.84 6767.04 8680.25 9948.03 7991.54 10359.80 7969.34 9786.64 90
GBi-Net75.65 8073.83 8081.10 8088.85 6265.11 5790.01 6790.32 6370.84 6767.04 8680.25 9948.03 7991.54 10359.80 7969.34 9786.64 90
ACMP71.68 1075.58 8274.23 7879.62 9384.97 9259.64 9590.80 6189.07 8170.39 7162.95 10487.30 7138.28 9993.87 7672.89 3771.45 9285.36 101
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
tpm cat175.30 8372.21 9184.58 4688.52 6867.77 3478.16 12088.02 9661.88 10368.45 7976.37 11560.65 4194.03 7253.77 9974.11 8091.93 63
PLCcopyleft68.80 1475.23 8473.68 8379.86 9192.93 2258.68 9990.64 6288.30 9260.90 10664.43 9890.53 5442.38 9494.57 6256.52 8976.54 7286.33 93
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
dp75.01 8572.09 9283.76 5389.28 5466.22 4679.96 11489.75 7171.16 6567.80 8377.19 11351.81 6892.54 9250.39 10671.44 9392.51 57
TAPA-MVS70.22 1274.94 8673.53 8479.17 9790.40 4452.07 12089.19 7489.61 7562.69 10070.07 6992.67 3348.89 7694.32 6438.26 12679.97 5891.12 68
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
XVG-OURS-SEG-HR74.70 8773.08 8579.57 9478.25 12057.33 10680.49 10887.32 10163.22 9768.76 7790.12 5944.89 9091.59 10270.55 4874.09 8189.79 77
ACMM69.62 1374.34 8872.73 8679.17 9784.25 10057.87 10290.36 6689.93 6963.17 9865.64 9186.04 7437.79 10294.10 6965.89 6471.52 9185.55 100
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA74.31 8972.30 9080.32 8791.49 3561.66 8390.85 6080.72 12056.67 11663.85 10190.64 5146.75 8490.84 10753.79 9875.99 7588.47 83
XVG-OURS74.25 9072.46 8979.63 9278.45 11957.59 10480.33 10987.39 10063.86 9568.76 7789.62 6240.50 9591.72 10069.00 5474.25 7989.58 79
CR-MVSNet73.79 9170.82 9482.70 6883.15 10567.96 3270.25 12684.00 11273.67 4869.97 7172.41 12457.82 4489.48 11652.99 10373.13 8490.64 72
test_djsdf73.76 9272.56 8877.39 10677.00 12353.93 11589.07 7790.69 5965.80 8863.92 9982.03 8943.14 9392.67 9072.83 3868.53 10485.57 99
FMVSNet172.71 9369.91 9681.10 8083.60 10465.11 5790.01 6790.32 6363.92 9463.56 10380.25 9936.35 10791.54 10354.46 9566.75 10986.64 90
IterMVS72.65 9470.83 9378.09 10282.17 10862.96 7487.64 8786.28 10371.56 6460.44 10578.85 10745.42 8986.66 12663.30 7361.83 11884.65 105
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PatchMatch-RL72.06 9569.98 9578.28 10089.51 5355.70 11283.49 9583.39 11661.24 10563.72 10282.76 8634.77 11093.03 8353.37 10277.59 6786.12 96
PVSNet_068.08 1571.81 9668.32 9982.27 7584.68 9362.31 8188.68 7990.31 6675.84 3657.93 10980.65 9537.85 10194.19 6869.94 5029.05 14390.31 75
MIMVSNet71.64 9768.44 9781.23 7981.97 11164.44 6373.05 12488.80 8569.67 7764.59 9574.79 12032.79 11387.82 12353.99 9776.35 7391.42 65
F-COLMAP70.66 9868.44 9777.32 10786.37 8255.91 11188.00 8386.32 10256.94 11557.28 11188.07 6733.58 11292.49 9351.02 10568.37 10583.55 107
DP-MVS69.90 9966.48 10080.14 8995.36 1062.93 7589.56 7276.11 12650.27 12457.69 11085.23 7839.68 9695.73 4533.35 13171.05 9581.78 116
RPMNet69.58 10065.21 10782.70 6883.15 10567.96 3270.25 12686.15 10546.83 13269.97 7165.10 13356.48 5389.48 11635.79 12973.13 8490.64 72
MSDG69.54 10165.73 10280.96 8385.11 9163.71 6984.19 9283.28 11756.95 11454.50 11484.03 8231.50 11896.03 4142.87 12069.13 10083.14 111
LS3D69.17 10266.40 10177.50 10491.92 3056.12 11085.12 8980.37 12146.96 13056.50 11287.51 6937.25 10493.71 7732.52 13679.40 6082.68 113
PatchT69.11 10365.37 10680.32 8782.07 11063.68 7067.96 13187.62 9950.86 12369.37 7465.18 13257.09 4788.53 12141.59 12266.60 11088.74 81
ACMH63.93 1768.62 10464.81 10880.03 9085.22 8963.25 7387.72 8584.66 11060.83 10751.57 12179.43 10527.29 12694.96 5541.76 12164.84 11381.88 115
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
EG-PatchMatch MVS68.55 10565.41 10577.96 10378.69 11862.93 7589.86 7089.17 7860.55 10850.27 12377.73 11022.60 13394.06 7047.18 11472.65 8876.88 128
XVG-ACMP-BASELINE68.04 10665.53 10475.56 11274.06 13052.37 11878.43 11785.88 10762.03 10258.91 10881.21 9320.38 13591.15 10660.69 7668.18 10683.16 110
FMVSNet568.04 10665.66 10375.18 11384.43 9657.89 10183.54 9486.26 10461.83 10453.64 11773.30 12337.15 10585.08 12748.99 11061.77 11982.56 114
ACMH+65.35 1667.65 10864.55 10976.96 10884.59 9457.10 10788.08 8280.79 11958.59 11253.00 11881.09 9426.63 12892.95 8446.51 11561.69 12080.82 119
Patchmtry67.53 10963.93 11278.34 9982.12 10964.38 6568.72 12884.00 11248.23 12959.24 10672.41 12457.82 4489.27 11846.10 11656.68 12581.36 117
USDC67.43 11064.51 11076.19 11177.94 12155.29 11378.38 11885.00 10973.17 5148.36 12780.37 9721.23 13492.48 9452.15 10464.02 11580.81 120
CMPMVSbinary48.56 2166.77 11164.41 11173.84 11970.65 13450.31 12377.79 12185.73 10845.54 13344.76 13482.14 8835.40 10990.14 11263.18 7474.54 7881.07 118
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft61.12 1866.39 11262.92 11576.80 11076.51 12457.77 10389.22 7383.41 11555.48 11853.86 11677.84 10926.28 12993.95 7434.90 13068.76 10278.68 125
LTVRE_ROB59.60 1966.27 11363.54 11374.45 11584.00 10251.55 12267.08 13283.53 11458.78 11154.94 11380.31 9834.54 11193.23 8140.64 12468.03 10778.58 126
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
JIA-IIPM66.06 11462.45 11676.88 10981.42 11354.45 11457.49 13988.67 8749.36 12563.86 10046.86 14056.06 5590.25 11049.53 10968.83 10185.95 98
UnsupCasMVSNet_eth65.79 11563.10 11473.88 11870.71 13350.29 12481.09 10689.88 7072.58 5449.25 12574.77 12132.57 11487.43 12555.96 9241.04 13883.90 106
SixPastTwentyTwo64.92 11661.78 11974.34 11778.74 11749.76 12583.42 9779.51 12362.86 9950.27 12377.35 11130.92 12190.49 10845.89 11747.06 13382.78 112
OurMVSNet-221017-064.68 11762.17 11772.21 12476.08 12747.35 13080.67 10781.02 11856.19 11751.60 12079.66 10327.05 12788.56 12053.60 10053.63 13080.71 121
test_040264.54 11861.09 12074.92 11484.10 10160.75 8787.95 8479.71 12252.03 12252.41 11977.20 11232.21 11691.64 10123.14 13961.03 12272.36 132
RPSCF64.24 11961.98 11871.01 12776.10 12645.00 13375.83 12375.94 12746.94 13158.96 10784.59 8131.40 11982.00 13247.76 11260.33 12486.04 97
K. test v363.09 12059.61 12273.53 12176.26 12549.38 12783.27 9877.15 12564.35 9347.77 12872.32 12628.73 12387.79 12449.93 10836.69 14183.41 109
COLMAP_ROBcopyleft57.96 2062.98 12159.65 12172.98 12381.44 11253.00 11783.75 9375.53 13048.34 12848.81 12681.40 9224.14 13090.30 10932.95 13360.52 12375.65 130
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
UnsupCasMVSNet_bld61.60 12257.71 12373.29 12268.73 13651.64 12178.61 11689.05 8257.20 11346.11 13061.96 13528.70 12488.60 11950.08 10738.90 13979.63 124
TinyColmap60.32 12356.42 12672.00 12578.78 11653.18 11678.36 11975.64 12852.30 12141.59 13975.82 11814.76 13988.35 12235.84 12854.71 12974.46 131
MVS-HIRNet60.25 12455.55 12774.35 11684.37 9756.57 10871.64 12574.11 13234.44 14145.54 13342.24 14131.11 12089.81 11440.36 12576.10 7476.67 129
MIMVSNet160.16 12557.33 12468.67 12969.71 13544.13 13478.92 11584.21 11155.05 11944.63 13571.85 12723.91 13181.54 13332.63 13555.03 12880.35 122
testpf57.17 12656.93 12557.88 13679.13 11542.40 13534.23 14385.97 10652.64 12047.66 12966.50 13136.33 10879.65 13653.60 10056.31 12651.60 141
DSMNet-mixed56.78 12754.44 12863.79 13263.21 13729.44 14264.43 13564.10 14042.12 13951.32 12271.60 12831.76 11775.04 13736.23 12765.20 11286.87 89
LP56.71 12851.64 13071.91 12680.08 11460.33 8961.72 13775.61 12943.87 13743.76 13760.30 13730.46 12284.05 12822.94 14046.06 13571.34 133
TDRefinement55.28 12951.58 13166.39 13059.53 14046.15 13276.23 12272.80 13344.60 13642.49 13876.28 11615.29 13782.39 13133.20 13243.75 13670.62 135
HyFIR lowres test54.68 13050.80 13266.34 13174.15 12949.02 12853.99 14062.10 14244.68 13537.46 14063.99 13413.84 14180.23 13443.01 11963.99 11669.76 136
LF4IMVS54.01 13152.12 12959.69 13462.41 13939.91 13868.59 12968.28 13742.96 13844.55 13675.18 11914.09 14068.39 14041.36 12351.68 13170.78 134
N_pmnet50.55 13249.11 13354.88 13877.17 1224.02 14984.36 912.00 14948.59 12645.86 13168.82 13032.22 11582.80 13031.58 13751.38 13277.81 127
new_pmnet49.31 13346.44 13457.93 13562.84 13840.74 13768.47 13062.96 14136.48 14035.09 14157.81 13814.97 13872.18 13832.86 13446.44 13460.88 139
FPMVS45.64 13443.10 13553.23 13951.42 14236.46 14064.97 13471.91 13529.13 14327.53 14261.55 1369.83 14365.01 14216.00 14555.58 12758.22 140
no-one44.13 13538.39 13661.34 13345.91 14541.94 13661.67 13875.07 13145.05 13420.07 14340.68 14411.58 14279.82 13530.18 13815.30 14562.26 138
ANet_high40.27 13635.20 13755.47 13734.74 14634.47 14163.84 13671.56 13648.42 12718.80 14441.08 1429.52 14464.45 14320.18 1428.66 14967.49 137
Gipumacopyleft34.91 13731.44 13845.30 14170.99 13239.64 13919.85 14672.56 13420.10 14616.16 14621.47 1475.08 14671.16 13913.07 14643.70 13725.08 147
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PNet_i23d32.77 13829.98 13941.11 14348.05 14329.17 14365.82 13350.02 14521.42 14414.74 14737.19 1451.11 14955.11 14519.75 14311.77 14739.06 143
PMVScopyleft26.43 2231.84 13928.16 14042.89 14225.87 14927.58 14550.92 14149.78 14621.37 14514.17 14840.81 1432.01 14766.62 1419.61 14838.88 14034.49 146
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
wuykxyi23d29.03 14023.09 14146.84 14031.67 14828.82 14443.46 14257.72 14414.39 1477.52 15020.84 1480.64 15060.29 14421.57 14110.04 14851.40 142
MVEpermissive24.84 2324.35 14119.77 14238.09 14434.56 14726.92 14626.57 14438.87 14711.73 14811.37 14927.44 1461.37 14850.42 14611.41 14714.60 14636.93 144
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuyk23d11.30 14210.95 14312.33 14648.05 14319.89 14825.89 1451.92 1503.58 1493.12 1511.37 1490.64 15015.77 1486.23 1497.77 1501.35 148
ab-mvs-re7.91 14310.55 1440.00 1470.00 1500.00 1500.00 1470.00 1510.00 1500.00 15294.95 100.00 1520.00 1490.00 1500.00 1510.00 149
DeepMVS_CXcopyleft34.71 14551.45 14124.73 14728.48 14831.46 14217.49 14552.75 1395.80 14542.60 14718.18 14419.42 14436.81 145
HQP4-MVS74.18 4495.61 4888.63 82
lessismore_v073.72 12072.93 13147.83 12961.72 14345.86 13173.76 12228.63 12589.81 11447.75 11331.37 14283.53 108
LGP-MVS_train79.56 9584.31 9859.37 9789.73 7269.49 7864.86 9388.42 6538.65 9794.30 6572.56 4172.76 8685.01 102
door66.57 138
HQP5-MVS63.66 71
HQP-NCC87.54 7994.06 1979.80 1774.18 44
ACMP_Plane87.54 7994.06 1979.80 1774.18 44
BP-MVS77.63 29
HQP3-MVS91.70 4578.90 63
ITE_SJBPF70.43 12874.44 12847.06 13177.32 12460.16 11054.04 11583.53 8323.30 13284.01 12943.07 11861.58 12180.21 123
HQP2-MVS51.63 70
NP-MVS90.30 57
MDTV_nov1_ep13_2view59.90 9380.13 11267.65 8372.79 5354.33 6259.83 7892.58 55
MDTV_nov1_ep1372.61 8789.06 6068.48 2580.33 10990.11 6771.84 5971.81 6275.92 11753.01 6593.92 7548.04 11173.38 83
ACMMP++_ref71.63 90
ACMMP++69.72 96
HQP-MVS16.21 136
Test By Simon54.21 63
door-mid66.01 139