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
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
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xxxxxxxxxxxxxcwj73.17 1274.44 2171.69 282.90 186.54 182.08 164.58 181.67 1159.82 586.26 435.82 15061.11 1571.81 2770.75 3479.63 1288.22 24
SF-MVS76.41 380.45 671.69 282.90 186.54 182.08 164.58 181.67 1159.82 586.26 477.90 861.11 1571.81 2770.75 3479.63 1288.22 24
SED-MVS78.97 184.56 172.45 181.70 386.20 377.82 459.97 688.89 165.96 186.00 684.02 170.03 176.19 476.17 579.22 1994.46 1
DVP-MVScopyleft77.54 284.41 269.54 779.93 486.08 477.20 960.31 488.62 262.54 286.67 383.77 258.04 3375.84 775.69 879.21 2094.17 2
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
MCST-MVS74.06 977.71 1469.79 578.95 581.99 976.33 1162.16 375.89 2252.96 2664.37 3273.30 2265.66 577.49 277.43 382.67 193.51 4
CSCG72.98 1376.86 1668.46 978.23 681.74 1177.26 860.00 575.61 2559.06 762.72 3477.42 956.63 4774.24 1177.18 479.56 1489.13 18
DPE-MVScopyleft75.74 682.82 467.49 1277.07 782.01 877.05 1057.70 1286.55 555.44 1690.50 282.52 360.33 2072.99 1572.98 1677.33 4892.19 6
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
APDe-MVS74.59 880.23 768.01 1176.51 880.20 1677.39 758.18 1085.31 656.84 1384.89 776.08 1460.66 1871.85 2671.76 2178.47 2991.49 9
DPM-MVS74.63 778.53 1170.07 476.10 982.56 779.30 359.89 780.49 1457.75 1166.98 2676.16 1365.95 479.35 178.47 181.45 585.71 47
3Dnovator58.39 465.97 3666.85 5264.94 1673.72 1079.03 2167.73 4054.25 2661.52 5452.79 2842.27 9460.73 5562.01 971.29 3071.75 2279.12 2281.34 89
MAR-MVS66.85 3169.81 4063.39 2573.56 1180.51 1569.87 3051.51 3867.78 4546.44 4651.09 6861.60 5260.38 1972.67 2273.61 1478.59 2681.44 86
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
SteuartSystems-ACMMP69.78 2174.76 2063.98 2073.45 1278.56 2573.13 1855.24 2270.68 3548.93 3870.43 2169.10 2954.00 5972.78 2172.98 1679.14 2188.74 21
Skip Steuart: Steuart Systems R&D Blog.
CNVR-MVS73.87 1078.60 1068.35 1073.32 1381.97 1076.19 1259.29 980.12 1556.70 1467.09 2576.48 1164.26 775.88 675.75 780.32 792.93 5
QAPM65.47 3967.82 4662.72 2872.56 1481.17 1467.43 4355.38 2156.07 7043.29 6343.60 8965.38 3759.10 2872.20 2370.76 3378.56 2785.59 50
CHOSEN 1792x268862.48 5864.06 6560.64 4172.50 1584.18 662.43 7153.77 2947.90 9339.85 8525.15 18844.76 11653.72 6077.29 377.61 281.60 491.53 8
NCCC71.36 1775.44 1866.60 1372.46 1679.18 2074.16 1457.83 1176.93 2054.19 2163.47 3371.08 2761.30 1473.56 1373.70 1379.69 1190.19 11
OpenMVScopyleft55.62 862.57 5463.76 6661.19 3872.13 1778.84 2364.42 6250.51 4756.44 6645.67 5136.88 12456.51 6756.66 4668.28 5768.96 4977.73 4280.44 97
MSP-MVS76.38 482.99 368.68 871.93 1878.65 2477.61 655.44 1988.04 360.25 492.24 177.08 1069.84 275.48 875.69 876.99 5793.75 3
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
HPM-MVS++copyleft72.44 1478.73 965.11 1571.88 1977.31 3371.98 2155.67 1783.11 953.59 2375.90 1378.49 761.00 1773.99 1273.31 1576.55 6088.97 19
DVP-MVS++75.99 581.32 569.77 671.86 2085.13 577.62 559.87 882.69 1061.55 383.05 1079.63 669.78 376.01 575.89 677.92 3986.86 36
SMA-MVScopyleft73.31 1179.53 866.05 1471.25 2180.13 1774.99 1356.09 1584.14 754.48 1973.74 1780.23 461.43 1274.96 974.09 1278.08 3689.42 14
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
MVS_111021_HR64.66 4367.11 5061.80 3371.04 2277.91 2962.75 7054.78 2451.43 8047.54 4453.77 5954.85 7156.84 4270.59 3471.50 2477.86 4089.70 12
AdaColmapbinary62.79 5262.63 6962.98 2770.82 2372.90 6767.84 3954.09 2865.14 4950.71 3241.78 9647.64 10360.17 2267.41 6466.83 6774.28 10776.69 114
abl_663.79 2470.80 2481.22 1365.26 6153.25 3177.02 1953.02 2565.14 3173.74 2060.30 2180.13 890.27 10
MS-PatchMatch61.41 6561.88 7760.85 3970.57 2575.98 3966.29 5546.91 8250.56 8248.28 4236.30 12751.64 7850.95 8372.89 1870.65 3682.13 375.17 124
APD-MVScopyleft71.86 1577.91 1364.80 1770.39 2675.69 4374.02 1556.14 1483.59 852.92 2784.67 873.46 2159.30 2769.47 4269.66 4276.02 6888.84 20
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
train_agg70.74 1876.53 1763.98 2070.33 2775.16 4772.33 2055.78 1675.74 2350.41 3580.08 1273.15 2357.75 3771.96 2570.94 3177.25 5288.69 22
ACMMP_NAP71.50 1677.27 1564.77 1869.64 2879.26 1873.53 1654.73 2579.32 1754.23 2074.81 1474.61 1859.40 2673.00 1472.17 1977.10 5687.72 29
TSAR-MVS + ACMM65.95 3772.83 2457.93 5769.35 2965.85 12473.36 1739.84 15076.00 2148.69 4182.54 1175.03 1749.38 9665.33 7763.42 11166.94 17181.67 83
TSAR-MVS + MP.70.28 1975.09 1964.66 1969.34 3064.61 13272.60 1956.29 1380.73 1358.36 984.56 975.22 1655.37 5469.11 4969.45 4375.97 7081.97 78
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
SD-MVS68.30 2372.58 2563.31 2669.24 3167.85 10570.81 2753.65 3079.64 1658.52 874.31 1575.37 1553.52 6565.63 7463.56 10974.13 11281.73 82
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
DELS-MVS67.36 2570.34 3963.89 2369.12 3281.55 1270.82 2655.02 2353.38 7748.83 3956.45 4859.35 5760.05 2474.93 1074.78 1079.51 1591.95 7
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
CDPH-MVS67.03 3071.64 3161.65 3569.10 3376.84 3771.35 2555.42 2067.02 4642.83 6565.27 3064.60 3953.16 6869.70 4171.40 2578.02 3886.67 38
HFP-MVS68.75 2272.84 2363.98 2068.87 3475.09 4871.87 2251.22 3973.50 2958.17 1068.05 2468.67 3057.79 3670.49 3669.23 4575.98 6984.84 56
MSLP-MVS++61.81 6362.19 7461.37 3768.33 3563.08 14670.75 2838.89 15663.96 5257.51 1248.59 7661.66 5153.67 6362.04 11959.92 15479.03 2376.08 117
CLD-MVS64.69 4267.25 4761.69 3468.22 3678.33 2663.09 6747.59 7269.64 3953.98 2254.87 5653.94 7457.87 3472.79 1971.34 2679.40 1769.87 159
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
HQP-MVS67.22 2872.08 2861.56 3666.76 3773.58 6071.41 2352.98 3269.92 3843.85 6070.58 2058.75 5956.76 4472.90 1771.88 2077.57 4486.94 35
OPM-MVS61.59 6462.30 7360.76 4066.53 3873.35 6271.41 2354.18 2740.82 12341.57 7745.70 8454.84 7254.43 5869.92 4069.19 4676.45 6182.25 72
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
MP-MVScopyleft67.34 2673.08 2260.64 4166.20 3976.62 3869.22 3350.92 4170.07 3648.81 4069.66 2270.12 2853.68 6268.41 5469.13 4774.98 9087.53 31
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
zzz-MVS67.78 2472.46 2662.33 3166.09 4074.21 5370.05 2951.54 3777.27 1854.61 1860.30 4271.51 2656.73 4569.19 4768.63 5474.96 9186.11 43
3Dnovator+55.76 762.70 5365.10 6159.90 4865.89 4172.15 7362.94 6949.82 5062.77 5349.06 3743.62 8861.47 5458.60 3168.51 5366.75 6873.08 13380.40 98
PGM-MVS65.35 4070.43 3859.43 5265.78 4273.75 5769.41 3148.18 6568.80 4245.37 5265.88 2964.04 4152.68 7568.94 5068.68 5375.18 8582.93 69
MSDG52.58 11951.40 15253.95 8665.48 4364.31 14061.44 7444.02 11344.17 10232.92 11530.40 16431.81 17346.35 11562.13 11762.55 12173.49 12364.41 173
ACMMPR66.20 3571.51 3460.00 4765.34 4474.04 5569.39 3250.92 4171.97 3346.04 4866.79 2765.68 3453.07 6968.93 5169.12 4875.21 8484.05 62
X-MVS63.53 4968.62 4257.60 6164.77 4573.06 6465.82 5750.53 4665.77 4842.02 7358.20 4563.42 4447.83 10868.25 5868.50 5574.61 10183.16 68
CANet67.21 2971.83 3061.83 3264.51 4679.25 1966.72 5148.73 5768.49 4350.63 3461.40 3866.47 3361.44 1169.31 4669.90 3878.94 2588.00 26
SR-MVS63.74 4748.51 6273.80 19
FC-MVSNet-train55.68 9157.00 10754.13 8563.37 4866.16 12046.77 16252.14 3542.36 11437.67 9248.50 7741.42 13351.28 7961.58 12463.22 11373.56 12175.76 121
ACMH47.82 1350.10 14149.60 16150.69 10663.36 4966.99 11356.83 10552.13 3631.06 17517.74 18428.22 17726.24 19745.17 12360.88 13363.80 10768.91 15970.00 158
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CostFormer62.45 5965.68 5858.67 5363.29 5077.65 3067.62 4138.42 15954.04 7546.00 4948.27 7857.89 6156.97 4167.03 6767.79 6179.74 987.09 34
ACMM53.73 957.91 7758.27 9657.49 6263.10 5166.45 11865.65 5849.02 5453.69 7642.67 6936.41 12646.07 11250.38 8664.74 8564.63 9774.14 11175.91 118
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
mPP-MVS63.08 5262.34 47
PHI-MVS65.17 4172.07 2957.11 6663.02 5377.35 3267.04 4848.14 6768.03 4437.56 9366.00 2865.39 3653.19 6770.68 3370.57 3773.72 11986.46 42
DROMVSNet64.30 4668.19 4359.76 4962.97 5475.31 4667.26 4544.19 11260.73 5747.52 4555.84 5062.12 4857.67 3870.71 3267.47 6378.97 2485.13 53
DeepC-MVS_fast60.18 366.84 3270.69 3762.36 3062.76 5573.21 6367.96 3752.31 3372.26 3251.03 2956.50 4764.26 4063.37 871.64 2970.85 3276.70 5986.10 44
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
XVS62.70 5673.06 6461.80 7242.02 7363.42 4474.68 99
X-MVStestdata62.70 5673.06 6461.80 7242.02 7363.42 4474.68 99
ACMMPcopyleft63.27 5067.85 4557.93 5762.64 5872.30 7268.23 3548.77 5666.50 4743.05 6462.07 3557.84 6249.98 8866.58 6966.46 7574.93 9283.17 66
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
MVS_030466.31 3471.61 3260.14 4562.59 5978.98 2267.13 4745.75 9664.35 5145.23 5360.69 4067.67 3261.73 1071.09 3171.03 2978.41 3287.44 32
baseline157.21 8360.53 8453.33 8862.50 6069.86 8757.33 10150.59 4443.39 10630.00 13048.60 7551.09 8242.36 14069.38 4568.03 5777.20 5373.39 132
DeepPCF-MVS62.48 170.07 2078.36 1260.39 4462.38 6176.96 3665.54 5952.23 3487.46 449.07 3674.05 1676.19 1259.01 2972.79 1971.61 2374.13 11289.49 13
CP-MVS64.37 4569.48 4158.39 5462.21 6271.81 7567.27 4449.51 5169.40 4145.76 5060.41 4164.96 3851.84 7767.33 6567.57 6273.78 11884.89 54
canonicalmvs65.55 3870.75 3659.49 5162.11 6378.26 2866.52 5243.82 11871.54 3447.84 4361.30 3961.68 5058.48 3267.56 6169.67 4178.16 3585.25 52
LGP-MVS_train59.69 7062.59 7056.31 7461.94 6468.15 10266.90 4948.15 6659.75 5838.47 8950.38 7148.34 10046.87 11365.39 7664.93 9175.51 8081.21 91
test_part156.55 8756.50 11256.60 7261.77 6569.59 9166.45 5343.70 12038.22 13544.13 5829.53 17349.96 8747.92 10663.09 10664.59 9875.61 7880.54 96
Effi-MVS+59.63 7161.78 8057.12 6561.56 6671.63 7763.61 6547.59 7247.18 9437.79 9045.29 8549.93 8856.27 4967.45 6267.06 6575.91 7183.93 63
HyFIR lowres test57.12 8459.11 8654.80 8061.55 6777.55 3159.02 9145.00 10141.84 12033.93 11022.44 19549.16 9551.02 8268.39 5568.71 5278.26 3485.70 48
GeoE58.97 7460.94 8256.67 7061.27 6872.71 6861.35 7545.69 9749.19 8841.22 7839.55 11149.58 9152.79 7464.79 8365.89 7977.73 4284.87 55
TSAR-MVS + GP.66.77 3372.21 2760.44 4361.23 6970.00 8564.26 6447.79 6972.98 3056.32 1571.35 1972.33 2455.68 5365.49 7566.66 6977.35 4686.62 39
ACMP56.21 559.78 6961.81 7957.41 6361.15 7068.88 9665.98 5648.85 5558.56 6144.19 5748.89 7446.31 10948.56 10163.61 10164.49 10175.75 7581.91 79
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Anonymous20240521156.81 11060.91 7173.48 6159.82 8648.68 5939.26 13024.00 19146.77 10750.73 8565.28 7965.72 8175.37 8383.17 66
casdiffmvs63.87 4767.08 5160.12 4660.90 7278.29 2767.91 3848.01 6855.89 7244.97 5450.45 7056.94 6459.54 2570.17 3969.81 3979.41 1687.99 27
IB-MVS53.15 1057.33 8159.02 8855.37 7860.83 7377.11 3454.51 12150.10 4943.22 10742.82 6740.50 10137.61 14244.67 12859.27 15169.81 3979.29 1885.59 50
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
tpm cat157.41 8058.26 9756.42 7360.80 7472.56 7064.35 6338.43 15849.18 8946.36 4736.69 12543.50 12254.47 5661.39 12762.64 11974.11 11481.81 80
gg-mvs-nofinetune50.82 13455.83 11744.97 14860.63 7575.69 4353.40 13034.48 18420.05 2116.93 20618.27 20352.70 7533.57 16170.50 3572.93 1880.84 680.68 95
EPNet64.39 4470.93 3556.77 6860.58 7675.77 4059.28 9050.58 4569.93 3740.73 8068.59 2361.60 5253.72 6068.65 5268.07 5675.75 7583.87 64
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MVS_Test63.75 4867.24 4859.68 5060.01 7776.99 3568.13 3645.17 9957.45 6343.74 6153.07 6256.16 6961.33 1370.27 3771.11 2879.72 1085.63 49
DCV-MVSNet56.80 8658.96 8954.28 8359.96 7866.74 11660.37 8244.87 10341.01 12236.81 9647.57 7947.87 10248.23 10464.41 8865.17 8775.45 8179.95 100
tpmrst57.23 8259.08 8755.06 7959.91 7970.65 8260.71 7935.38 17847.91 9242.58 7039.78 10645.45 11454.44 5762.19 11662.82 11677.37 4584.73 57
dps52.84 11652.92 13952.74 9259.89 8069.49 9254.47 12237.38 16642.49 11339.53 8635.33 12932.71 16651.83 7860.45 13861.12 14073.33 12768.86 165
DeepC-MVS60.65 267.33 2771.52 3362.44 2959.79 8174.84 5068.89 3455.56 1873.91 2853.50 2455.00 5565.63 3560.08 2371.99 2471.33 2776.85 5887.94 28
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
Anonymous2023121156.40 8857.00 10755.70 7759.78 8272.49 7161.29 7846.83 8440.50 12540.46 8122.12 19749.73 8951.07 8164.39 8965.30 8674.74 9584.44 60
baseline259.20 7361.72 8156.27 7559.61 8374.12 5458.65 9349.42 5248.10 9140.12 8449.10 7344.15 11851.24 8066.65 6867.88 6078.56 2782.06 74
EG-PatchMatch MVS50.23 13850.89 15549.47 12059.54 8470.88 7952.46 13844.01 11426.22 19731.91 11924.97 18931.45 17733.48 16364.79 8366.51 7475.40 8271.39 148
tpm54.94 9457.86 10251.54 9959.48 8567.04 11258.34 9434.60 18241.93 11934.41 10542.40 9347.14 10549.07 9961.46 12561.67 13573.31 12883.39 65
Effi-MVS+-dtu53.63 10554.85 12552.20 9659.32 8661.33 15756.42 11240.24 14843.84 10334.22 10739.49 11246.18 11153.00 7258.72 15757.49 16369.99 15576.91 112
EIA-MVS60.56 6864.29 6456.20 7659.14 8772.68 6959.55 8843.56 12251.78 7941.01 7955.47 5151.93 7755.87 5065.01 8166.57 7178.06 3786.60 41
PCF-MVS55.99 662.31 6066.60 5357.32 6459.12 8873.68 5967.53 4248.71 5861.35 5542.83 6551.33 6763.48 4353.48 6665.64 7364.87 9272.22 13885.83 45
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
ETV-MVS62.88 5168.18 4456.70 6958.47 8974.89 4960.26 8343.96 11558.27 6242.37 7161.47 3756.56 6657.80 3568.00 5968.74 5177.34 4789.33 17
PVSNet_BlendedMVS62.53 5566.37 5458.05 5558.17 9075.70 4161.30 7648.67 6058.67 5950.93 3055.43 5249.39 9253.01 7069.46 4366.55 7276.24 6689.39 15
PVSNet_Blended62.53 5566.37 5458.05 5558.17 9075.70 4161.30 7648.67 6058.67 5950.93 3055.43 5249.39 9253.01 7069.46 4366.55 7276.24 6689.39 15
TransMVSNet (Re)47.46 15448.94 16645.74 14257.96 9264.29 14148.26 15248.47 6326.33 19619.33 17629.45 17431.28 18025.31 19063.05 10762.70 11775.10 8865.47 171
DI_MVS_plusplus_trai61.86 6265.26 6057.90 6057.93 9374.51 5266.30 5446.49 8949.96 8441.62 7642.69 9261.77 4958.74 3070.25 3869.32 4476.31 6388.30 23
NR-MVSNet48.84 14851.76 14745.44 14557.66 9460.64 15947.39 15647.63 7037.26 14213.31 19037.31 12129.64 18733.53 16263.52 10262.09 12873.10 13271.89 144
CS-MVS60.58 6765.95 5754.33 8257.44 9571.15 7858.13 9637.47 16557.06 6440.34 8258.92 4457.68 6356.28 4865.95 7165.05 8976.31 6385.81 46
diffmvs62.30 6166.05 5657.92 5957.08 9675.60 4566.90 4947.06 8155.45 7443.37 6253.45 6155.60 7057.21 4066.57 7068.00 5875.89 7387.70 30
PVSNet_Blended_VisFu58.56 7662.33 7254.16 8456.90 9773.92 5657.72 9746.16 9444.23 10142.73 6846.26 8151.06 8346.28 11667.99 6065.38 8575.18 8587.44 32
ACMH+47.85 1249.13 14748.86 16749.44 12156.75 9862.01 15356.62 11047.55 7437.49 14123.98 15326.68 18229.46 18843.12 13557.45 16458.85 15868.62 16170.05 157
EPMVS54.07 9956.06 11451.75 9856.74 9970.80 8055.32 11734.20 18846.46 9736.59 9740.38 10342.55 12549.77 9261.25 13160.90 14377.86 4070.08 156
gm-plane-assit45.41 16648.03 17042.34 16456.49 10040.48 21024.54 21434.15 19114.44 2176.59 20717.82 20435.32 15449.82 9172.93 1674.11 1182.47 281.12 92
Fast-Effi-MVS+-dtu52.47 12155.89 11548.48 12956.25 10165.07 13158.75 9223.79 21141.27 12127.07 14337.95 11941.34 13450.85 8462.90 11262.34 12574.17 11080.37 99
MVS_111021_LR57.06 8560.60 8352.93 9056.25 10165.14 13055.16 11941.21 14252.32 7844.89 5553.92 5849.27 9452.16 7661.46 12560.54 14767.92 16481.53 85
CS-MVS-test61.36 6665.42 5956.63 7156.23 10371.71 7667.26 4543.28 12856.42 6839.08 8755.14 5456.92 6557.67 3865.28 7965.78 8076.25 6586.68 37
thres100view90052.33 12353.91 13050.48 10956.10 10467.79 10656.18 11449.18 5335.86 15425.22 14934.74 13434.10 16242.41 13964.45 8762.62 12073.81 11777.85 108
tfpn200view950.91 13252.45 14449.11 12456.10 10464.53 13553.06 13347.31 7735.86 15425.22 14934.74 13434.10 16241.08 14260.84 13461.37 13771.90 14175.70 122
SCA50.88 13353.70 13247.59 13355.99 10655.81 18243.14 17633.45 19445.16 9837.14 9541.83 9543.82 12044.43 13060.37 13960.02 15271.38 14368.90 164
thres20050.76 13552.52 14248.70 12655.98 10764.60 13355.29 11847.34 7533.91 16124.36 15234.33 13833.90 16437.27 14960.84 13462.41 12471.99 13977.63 109
IS_MVSNet51.53 12757.98 10044.01 15455.96 10866.16 12047.65 15542.84 13539.82 12819.09 17944.97 8650.28 8527.20 18663.43 10463.84 10671.33 14477.33 110
PatchmatchNetpermissive53.37 10955.62 11950.75 10455.93 10970.54 8351.39 14236.41 17144.85 9937.26 9439.40 11442.54 12647.83 10860.29 14160.88 14575.69 7770.87 150
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
LS3D49.59 14349.75 16049.40 12255.88 11059.86 16556.31 11345.33 9848.57 9028.32 13831.54 15536.81 14746.27 11757.17 16555.88 17464.29 17958.42 191
test250653.36 11057.36 10348.68 12755.53 11168.11 10354.31 12346.25 9243.54 10422.21 16340.19 10443.69 12136.56 15364.15 9665.94 7777.20 5375.91 118
ECVR-MVScopyleft52.52 12055.88 11648.60 12855.53 11168.11 10354.31 12346.25 9243.54 10421.75 16532.76 14839.83 14036.56 15364.15 9665.94 7777.20 5376.81 113
IterMVS-LS53.36 11055.65 11850.68 10755.34 11359.04 16855.00 12039.98 14938.72 13333.22 11444.52 8747.05 10649.63 9461.82 12261.77 13070.92 14776.61 116
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
UA-Net47.19 15753.02 13840.38 17455.31 11460.02 16438.41 18738.68 15736.42 14822.47 16251.95 6458.72 6025.62 18954.11 17853.40 18461.79 19256.51 194
MVSTER62.51 5767.22 4957.02 6755.05 11569.23 9463.02 6846.88 8361.11 5643.95 5959.20 4358.86 5856.80 4369.13 4870.98 3076.41 6282.04 75
thres40050.39 13752.22 14548.26 13055.02 11666.32 11952.97 13448.33 6432.68 16522.94 15833.21 14533.38 16537.27 14962.74 11361.38 13673.04 13475.81 120
CPTT-MVS59.54 7264.47 6353.79 8754.99 11767.63 10865.48 6044.59 10664.81 5037.74 9151.55 6559.90 5649.77 9261.83 12161.26 13970.18 15284.31 61
EPP-MVSNet52.91 11558.91 9045.91 14054.99 11768.84 9749.27 14842.71 13637.53 14020.20 17146.09 8256.19 6836.90 15161.37 12860.90 14371.41 14281.41 87
baseline58.65 7561.99 7554.75 8154.70 11971.85 7460.20 8443.91 11655.99 7140.13 8353.50 6050.91 8455.76 5161.29 12961.73 13173.83 11678.68 106
Fast-Effi-MVS+55.73 9058.26 9752.76 9154.33 12068.19 10157.05 10234.66 18046.92 9538.96 8840.53 10041.55 13155.69 5265.31 7865.99 7675.90 7279.34 102
MDTV_nov1_ep1352.99 11455.59 12049.95 11654.08 12170.69 8156.47 11138.42 15942.78 10930.19 12939.56 11043.31 12445.78 11860.07 14662.11 12774.74 9570.62 151
thres600view748.44 15050.23 15846.35 13854.05 12264.60 13350.18 14547.34 7531.73 17120.74 16932.28 15232.62 16833.79 16060.84 13456.11 17271.99 13973.40 131
test111150.62 13654.98 12445.55 14353.84 12368.48 9948.99 15047.25 7840.60 12415.64 18731.51 15638.32 14133.01 16864.34 9166.62 7074.55 10374.95 125
EPNet_dtu49.85 14256.99 10941.52 16952.79 12457.06 17641.44 18143.13 13056.13 6919.24 17852.11 6348.38 9922.14 19358.19 15958.38 15970.35 15068.71 166
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
tfpnnormal46.61 16246.82 17546.37 13752.70 12562.31 15050.39 14447.17 7925.74 19921.80 16423.13 19324.15 20533.45 16460.28 14260.77 14672.70 13671.39 148
CANet_DTU57.87 7863.63 6751.15 10152.18 12670.20 8458.14 9537.32 16756.49 6531.06 12457.38 4650.05 8653.67 6364.98 8265.04 9074.57 10281.29 90
v853.77 10354.82 12652.54 9452.12 12766.95 11560.56 8143.23 12937.17 14635.35 10034.96 13337.50 14449.51 9563.67 10064.59 9874.48 10478.91 105
v1053.44 10854.40 12852.31 9552.08 12866.99 11359.68 8743.41 12335.90 15234.30 10633.98 14035.56 15150.10 8764.39 8964.67 9674.32 10579.30 103
v114453.47 10754.65 12752.10 9751.93 12969.81 8859.32 8944.77 10533.21 16432.52 11633.55 14334.34 16149.29 9764.58 8664.81 9574.74 9582.27 71
Vis-MVSNet (Re-imp)44.31 17251.67 14935.72 18751.82 13055.24 18634.57 19341.63 14039.10 1318.84 20345.93 8346.63 10814.45 20354.09 17957.03 16663.00 18763.65 177
v2v48254.00 10055.12 12152.69 9351.73 13169.42 9360.65 8045.09 10034.56 15733.73 11335.29 13035.36 15349.92 8964.05 9865.16 8875.00 8981.98 77
test-LLR54.62 9758.66 9249.89 11751.68 13265.89 12247.88 15346.35 9042.51 11129.84 13141.41 9748.87 9645.20 12162.91 11064.43 10278.43 3084.62 58
test0.0.03 143.07 17946.95 17438.54 17951.68 13258.77 17135.28 18946.35 9032.05 16912.44 19228.53 17635.52 15214.40 20457.12 16756.93 16771.11 14559.69 185
GA-MVS53.77 10356.41 11350.70 10551.63 13469.96 8657.55 9944.39 10734.31 15827.15 14140.99 9936.40 14847.65 11067.45 6267.16 6475.83 7478.60 107
UniMVSNet_NR-MVSNet49.56 14453.04 13745.49 14451.59 13564.42 13946.97 16051.01 4037.87 13616.42 18539.87 10534.91 15733.43 16559.59 14962.70 11773.52 12271.94 141
thisisatest053053.61 10657.22 10549.40 12251.30 13668.22 10052.72 13743.34 12642.72 11035.31 10143.57 9044.14 11944.37 13163.00 10864.86 9369.34 15874.00 126
v119252.69 11753.86 13151.31 10051.22 13769.76 8957.37 10044.39 10732.21 16731.39 12332.41 15132.44 16949.19 9864.25 9264.17 10474.31 10681.81 80
v14419252.43 12253.63 13351.03 10251.06 13869.60 9056.94 10444.84 10432.15 16830.88 12532.45 15032.71 16648.36 10262.98 10963.52 11074.10 11582.02 76
v192192051.95 12453.19 13550.51 10850.82 13969.14 9555.45 11644.34 11131.53 17230.53 12731.96 15331.67 17448.31 10363.12 10563.28 11273.59 12081.60 84
FMVSNet355.66 9259.68 8550.96 10350.59 14066.49 11757.57 9846.61 8649.30 8528.77 13539.61 10751.42 7943.85 13368.29 5668.80 5078.35 3373.86 127
TranMVSNet+NR-MVSNet48.06 15351.36 15344.21 15250.38 14162.09 15247.28 15750.88 4336.11 14913.25 19137.51 12031.60 17630.70 17659.34 15062.53 12272.81 13570.31 153
tttt051753.05 11356.73 11148.76 12550.35 14267.51 10951.96 14143.34 12642.00 11833.88 11143.19 9143.49 12344.37 13162.58 11564.86 9368.67 16073.46 129
v124051.42 12852.66 14149.97 11550.31 14368.70 9854.05 12743.85 11730.78 17630.22 12831.43 15731.03 18147.98 10562.62 11463.16 11473.40 12580.93 93
v14851.72 12553.15 13650.05 11350.15 14467.51 10956.98 10342.85 13432.60 16632.41 11833.88 14134.71 15844.45 12961.06 13263.00 11573.45 12479.24 104
PatchT48.11 15251.27 15444.43 14950.13 14561.58 15533.59 19432.92 19640.38 12631.74 12030.60 16336.93 14645.00 12558.80 15461.11 14173.19 13069.47 160
CNLPA54.00 10057.08 10650.40 11049.83 14661.75 15453.47 12937.27 16874.55 2644.85 5633.58 14245.42 11552.94 7358.89 15353.66 18364.06 18071.68 146
our_test_349.68 14761.50 15645.84 168
pmmvs451.28 12952.50 14349.85 11849.54 14863.02 14752.83 13643.41 12344.65 10035.71 9934.38 13732.25 17045.14 12460.21 14560.03 15172.44 13772.98 138
GBi-Net54.66 9558.42 9450.26 11149.36 14965.81 12556.80 10646.61 8649.30 8528.77 13539.61 10751.42 7942.71 13664.25 9265.54 8277.32 4973.03 135
test154.66 9558.42 9450.26 11149.36 14965.81 12556.80 10646.61 8649.30 8528.77 13539.61 10751.42 7942.71 13664.25 9265.54 8277.32 4973.03 135
FMVSNet253.94 10257.29 10450.03 11449.36 14965.81 12556.80 10645.95 9543.13 10828.04 13935.68 12848.18 10142.71 13667.23 6667.95 5977.32 4973.03 135
pm-mvs146.14 16349.34 16542.41 16348.93 15262.22 15144.98 17042.68 13727.66 18920.76 16829.88 16934.96 15626.41 18860.03 14760.42 14870.70 14970.20 154
Anonymous2023120640.63 18543.29 18637.53 18348.88 15355.81 18234.99 19044.98 10228.16 18610.16 20017.26 20827.50 19318.28 19754.00 18055.07 17767.85 16565.23 172
ADS-MVSNet45.39 16746.42 17644.19 15348.74 15457.52 17443.91 17431.93 19735.89 15327.11 14230.12 16532.06 17245.30 11953.13 18455.19 17668.15 16361.07 183
v7n47.22 15648.38 16845.87 14148.20 15563.58 14250.69 14340.93 14626.60 19526.44 14526.52 18329.65 18638.19 14758.22 15860.23 15070.79 14873.83 128
Vis-MVSNetpermissive51.13 13058.04 9943.06 16047.68 15667.71 10749.10 14939.09 15537.75 13822.57 16051.03 6948.78 9832.42 17162.12 11861.80 12967.49 16877.12 111
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet43.98 17443.63 18544.39 15147.66 15759.31 16732.66 20033.88 19330.15 17933.75 11216.82 20928.39 19145.25 12053.92 18255.00 17873.16 13161.80 180
IterMVS50.23 13853.27 13446.68 13647.59 15860.58 16153.10 13236.62 17036.07 15025.89 14639.42 11340.05 13743.65 13460.22 14461.35 13873.23 12975.23 123
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet49.25 14553.97 12943.75 15647.53 15964.53 13548.59 15142.27 13833.77 16226.64 14440.46 10242.26 12830.01 17861.77 12361.71 13267.48 16973.28 134
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
testgi34.51 20037.42 20131.12 20247.37 16050.34 19224.38 21541.21 14220.32 2095.64 21220.56 19826.55 1968.06 21649.28 19152.65 18560.05 19442.23 211
CR-MVSNet48.82 14951.85 14645.29 14646.74 16155.95 18052.06 13934.21 18642.17 11531.74 12032.92 14742.53 12745.00 12558.80 15461.11 14161.99 19169.47 160
IterMVS-SCA-FT45.87 16451.55 15139.24 17746.22 16259.43 16652.89 13531.93 19736.01 15123.68 15438.86 11639.88 13939.05 14456.25 17158.17 16041.70 21272.25 140
MDTV_nov1_ep13_2view44.44 17045.75 17942.91 16146.13 16363.43 14446.53 16534.20 18829.08 18419.95 17426.23 18427.89 19235.88 15553.36 18356.43 17074.74 9563.86 176
test20.0336.00 19638.92 19632.60 19545.92 16450.99 19028.05 21043.69 12121.62 2056.03 20817.61 20625.91 1998.34 21551.26 18752.60 18663.58 18252.46 201
pmnet_mix0242.41 18243.24 18741.44 17045.80 16557.46 17542.19 17841.57 14129.38 18223.39 15626.08 18623.96 20627.31 18551.50 18653.76 18268.36 16260.58 184
UniMVSNet (Re)46.89 16051.65 15041.34 17145.60 16662.71 14844.05 17347.10 8037.24 14413.55 18936.90 12334.54 16026.76 18757.56 16159.90 15570.98 14672.69 139
FMVSNet150.14 14052.78 14047.06 13445.56 16763.56 14354.22 12543.74 11934.10 16025.37 14829.79 17042.06 12938.70 14564.25 9265.54 8274.75 9470.18 155
RPMNet43.70 17648.17 16938.48 18045.52 16855.95 18037.66 18826.63 20942.17 11525.47 14729.59 17237.61 14233.87 15950.85 18952.02 18861.75 19369.00 163
thisisatest051546.88 16149.57 16243.74 15745.33 16960.46 16246.19 16641.06 14530.34 17829.73 13332.50 14931.63 17535.43 15658.75 15661.71 13264.70 17871.59 147
TESTMET0.1,153.30 11258.66 9247.04 13544.94 17065.89 12247.88 15335.95 17442.51 11129.84 13141.41 9748.87 9645.20 12162.91 11064.43 10278.43 3084.62 58
V4252.63 11855.08 12249.76 11944.93 17167.49 11160.19 8542.13 13937.21 14534.08 10934.57 13637.30 14547.29 11163.48 10364.15 10569.96 15681.38 88
TAMVS44.27 17349.35 16438.35 18144.74 17261.04 15839.07 18531.82 19929.95 18018.34 18233.55 14339.94 13830.01 17856.85 16857.58 16266.13 17366.54 168
pmmvs641.90 18444.01 18439.43 17644.45 17358.77 17141.92 17939.22 15421.74 20419.08 18017.40 20731.33 17924.28 19255.94 17256.67 16867.60 16766.24 169
DU-MVS47.33 15550.86 15643.20 15944.43 17460.64 15946.97 16047.63 7037.26 14216.42 18537.31 12131.39 17833.43 16557.53 16259.98 15370.35 15071.94 141
Baseline_NR-MVSNet47.14 15850.83 15742.84 16244.43 17463.31 14544.50 17250.36 4837.71 13911.25 19630.84 16032.09 17130.96 17457.53 16263.73 10875.53 7970.60 152
PMMVS55.74 8962.68 6847.64 13244.34 17665.58 12847.22 15937.96 16256.43 6734.11 10861.51 3647.41 10454.55 5565.88 7262.49 12367.67 16679.48 101
CMPMVSbinary33.64 1644.39 17146.41 17742.03 16544.21 17756.50 17846.73 16326.48 21034.20 15935.14 10224.22 19034.64 15940.52 14356.50 17056.07 17359.12 19662.74 179
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
WR-MVS37.61 18942.15 18832.31 19843.64 17851.85 18729.39 20643.35 12527.65 1904.40 21529.90 16829.80 18510.46 20846.73 19551.98 18962.60 18957.16 192
pmmvs547.02 15950.02 15943.51 15843.48 17962.65 14947.24 15837.78 16430.59 17724.80 15135.26 13130.43 18234.36 15859.05 15260.28 14973.40 12571.92 143
LTVRE_ROB32.83 1735.10 19837.46 20032.35 19743.12 18049.99 19428.52 20833.23 19512.73 2188.18 20427.71 18021.34 20932.64 17046.92 19448.11 19748.41 20955.45 197
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
PLCcopyleft44.22 1449.14 14651.75 14846.10 13942.78 18155.60 18553.11 13134.46 18555.69 7332.47 11734.16 13941.45 13248.91 10057.13 16654.09 18064.84 17664.10 174
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
pmmvs-eth3d44.67 16945.27 18143.98 15542.56 18255.72 18444.97 17140.81 14731.96 17029.13 13426.09 18525.27 20236.69 15255.13 17556.62 16969.68 15766.12 170
OMC-MVS55.48 9361.85 7848.04 13141.55 18360.32 16356.80 10631.78 20075.67 2442.30 7251.52 6654.15 7349.91 9060.28 14257.59 16165.91 17473.42 130
DTE-MVSNet36.91 19240.44 19232.79 19440.74 18447.55 20030.71 20444.39 10727.03 1934.32 21630.88 15925.99 19812.73 20645.58 19750.80 19163.86 18155.23 198
UGNet51.04 13158.79 9142.00 16640.59 18565.32 12946.65 16439.26 15339.90 12727.30 14054.12 5752.03 7630.93 17559.85 14859.62 15667.23 17080.70 94
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
PEN-MVS38.23 18841.72 18934.15 18940.56 18650.07 19333.17 19744.35 11027.64 1915.54 21330.84 16026.67 19514.99 20145.64 19652.38 18766.29 17258.83 188
ambc35.52 20638.36 18740.40 21128.38 20925.20 20014.87 18813.22 2137.54 22319.34 19655.63 17347.79 20047.91 21058.89 187
UniMVSNet_ETH3D43.97 17546.01 17841.59 16738.31 18856.20 17949.69 14638.18 16128.18 18519.88 17527.82 17930.20 18333.41 16754.18 17756.30 17170.05 15469.17 162
MIMVSNet45.62 16549.56 16341.02 17238.17 18964.43 13849.48 14735.43 17736.53 14720.06 17322.58 19435.16 15528.75 18361.97 12062.20 12674.20 10864.07 175
PatchMatch-RL43.37 17744.93 18241.56 16837.94 19051.70 18840.02 18335.75 17539.04 13230.71 12635.14 13227.43 19446.58 11451.99 18550.55 19258.38 19858.64 189
WR-MVS_H36.29 19440.35 19431.55 20037.80 19149.94 19530.57 20541.11 14426.90 1944.14 21730.72 16228.85 18910.45 20942.47 20547.99 19965.24 17555.54 196
CP-MVSNet37.09 19140.62 19132.99 19137.56 19248.25 19832.75 19843.05 13127.88 1885.93 20931.27 15825.82 20015.09 19943.37 20348.82 19363.54 18458.90 186
PS-CasMVS36.84 19340.23 19532.89 19237.44 19348.09 19932.68 19942.97 13327.36 1925.89 21030.08 16725.48 20114.96 20243.28 20448.71 19463.39 18558.63 190
FC-MVSNet-test30.97 20637.38 20223.49 20937.42 19433.68 21419.43 21739.27 15231.37 1741.67 22338.56 11828.85 1896.06 21941.40 20643.80 20637.10 21444.03 210
N_pmnet34.09 20235.74 20532.17 19937.25 19543.17 20732.26 20235.57 17626.22 19710.60 19920.44 19919.38 21320.20 19544.59 20047.00 20357.13 20149.35 208
SixPastTwentyTwo36.11 19537.80 19934.13 19037.13 19646.72 20234.58 19234.96 17921.20 20711.66 19329.15 17519.88 21229.77 18044.93 19848.34 19656.67 20254.41 200
new-patchmatchnet30.47 20732.80 21027.75 20536.81 19743.98 20524.85 21339.29 15120.52 2084.06 21815.94 21016.05 2169.57 21041.32 20742.05 20851.94 20849.74 207
TAPA-MVS47.92 1151.66 12657.88 10144.40 15036.46 19858.42 17353.82 12830.83 20169.51 4034.97 10346.90 8049.67 9046.99 11258.00 16054.64 17963.33 18668.00 167
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
COLMAP_ROBcopyleft34.79 1538.65 18740.72 19036.23 18636.41 19949.22 19745.51 16927.60 20737.81 13720.54 17023.37 19224.25 20428.11 18451.02 18848.55 19559.22 19550.82 205
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
anonymousdsp43.03 18047.19 17238.18 18236.00 20056.92 17738.44 18634.56 18324.22 20122.53 16129.69 17129.92 18435.21 15753.96 18158.98 15762.32 19076.66 115
CVMVSNet38.91 18644.49 18332.40 19634.57 20147.20 20134.81 19134.20 18831.45 1738.95 20238.86 11636.38 14924.30 19147.77 19346.94 20457.59 20062.85 178
USDC42.80 18145.57 18039.58 17534.55 20251.13 18942.61 17736.21 17239.59 12923.65 15533.13 14620.87 21137.86 14855.35 17457.16 16562.61 18861.75 181
TSAR-MVS + COLMAP54.37 9862.43 7144.98 14734.33 20358.94 17054.11 12634.15 19174.06 2734.57 10471.63 1842.03 13047.88 10761.26 13057.33 16464.83 17771.74 145
test-mter48.31 15155.04 12340.45 17334.12 20459.02 16941.77 18028.05 20538.43 13422.67 15939.35 11544.40 11741.88 14160.30 14061.68 13474.20 10882.12 73
CHOSEN 280x42042.39 18347.40 17136.54 18533.56 20539.66 21340.67 18226.88 20834.66 15618.03 18330.09 16645.59 11344.82 12754.46 17654.00 18155.28 20573.32 133
EU-MVSNet33.00 20436.49 20428.92 20333.10 20642.86 20829.32 20735.99 17322.94 2025.83 21125.29 18724.43 20315.21 19841.22 20841.65 20954.08 20657.01 193
ET-MVSNet_ETH3D57.84 7961.91 7653.09 8932.91 20774.53 5163.51 6646.80 8546.52 9636.14 9856.00 4946.20 11064.41 660.75 13766.99 6674.79 9382.35 70
TinyColmap37.18 19037.37 20336.95 18431.17 20845.21 20439.71 18434.65 18129.83 18120.20 17118.54 20213.72 21938.27 14650.33 19051.57 19057.71 19952.42 202
FMVSNet543.29 17847.07 17338.87 17830.46 20950.99 19045.87 16737.19 16942.17 11519.32 17726.77 18140.51 13530.26 17756.82 16955.81 17570.10 15356.46 195
FPMVS26.87 20928.19 21125.32 20727.09 21029.49 21632.28 20117.79 21628.09 18711.33 19419.38 20114.69 21720.88 19435.11 21132.82 21242.56 21137.75 212
MDA-MVSNet-bldmvs34.31 20134.11 20734.54 18824.73 21149.66 19633.42 19643.03 13221.59 20611.10 19719.81 20012.68 22031.41 17335.59 21048.05 19863.56 18351.39 204
pmmvs331.22 20533.62 20828.43 20422.82 21240.26 21226.40 21122.05 21416.89 21510.99 19814.72 21116.26 21529.70 18144.82 19947.39 20158.61 19754.98 199
PM-MVS34.96 19938.17 19831.22 20122.78 21340.82 20933.56 19523.61 21229.16 18321.43 16728.00 17821.43 20831.90 17244.33 20142.12 20754.07 20761.34 182
PMVScopyleft18.18 1821.95 21022.85 21220.90 21121.92 21414.78 21819.95 21617.31 21715.69 21611.32 19513.70 21213.91 21815.02 20034.92 21231.72 21339.85 21335.20 213
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
E-PMN10.66 2158.30 21813.42 21419.91 2157.87 2224.30 22429.47 2038.37 2221.70 2223.67 2191.29 2299.12 2128.98 22013.59 21816.03 22014.30 220
MIMVSNet129.60 20833.37 20925.20 20819.52 21643.94 20626.29 21237.92 16319.95 2123.79 21912.64 21521.99 2077.70 21743.83 20246.32 20555.97 20444.92 209
EMVS10.15 2167.67 21913.05 21519.22 2177.77 2234.48 22229.34 2048.65 2211.67 2233.55 2201.36 2289.15 2118.15 22111.79 22014.44 22112.43 221
TDRefinement35.76 19738.23 19732.88 19319.09 21846.04 20343.29 17529.49 20233.49 16319.04 18122.29 19617.82 21429.69 18248.60 19247.24 20256.65 20352.12 203
Gipumacopyleft17.16 21217.83 21416.36 21218.76 21912.15 22111.97 21927.78 20617.94 2144.86 2142.53 2222.73 2268.90 21334.32 21336.09 21125.92 21719.06 217
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
RPSCF33.61 20340.43 19325.65 20616.00 22032.41 21531.73 20313.33 21950.13 8323.12 15731.56 15440.09 13632.73 16941.14 20937.05 21036.99 21550.63 206
PMMVS212.25 21414.17 21610.00 21711.39 22114.35 2198.21 22119.29 2159.31 2190.19 2267.38 2186.19 2241.10 22119.26 21621.13 21619.85 21921.56 216
new_pmnet19.10 21122.71 21314.89 21310.93 22224.08 21714.22 21813.94 21818.68 2132.93 22012.84 21411.27 22111.94 20730.57 21430.58 21435.38 21630.93 214
MVEpermissive10.35 199.76 21711.08 2178.22 2184.43 22313.04 2203.36 22523.57 2135.74 2231.76 2213.09 2211.75 2276.78 21812.78 21823.04 2159.44 22218.09 218
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tmp_tt4.41 2192.56 2241.81 2262.61 2260.27 22220.12 2109.81 20117.69 2059.04 2221.96 22012.88 21712.11 2199.23 223
test_method13.92 21317.14 21510.16 2161.69 2256.92 22411.25 2205.74 22022.41 2038.11 20510.40 21620.91 21013.73 20522.17 21513.98 21720.44 21823.18 215
GG-mvs-BLEND44.87 16864.59 6221.86 2100.01 22673.70 5855.99 1150.01 22350.70 810.01 22749.18 7263.61 420.01 22263.83 9964.50 10075.13 8786.62 39
uanet_test0.00 2200.00 2220.00 2200.00 2270.00 2270.00 2280.00 2240.00 2260.00 2280.00 2250.00 2300.00 2240.00 2230.00 2230.00 2250.00 224
sosnet-low-res0.00 2200.00 2220.00 2200.00 2270.00 2270.00 2280.00 2240.00 2260.00 2280.00 2250.00 2300.00 2240.00 2230.00 2230.00 2250.00 224
sosnet0.00 2200.00 2220.00 2200.00 2270.00 2270.00 2280.00 2240.00 2260.00 2280.00 2250.00 2300.00 2240.00 2230.00 2230.00 2250.00 224
testmvs0.01 2180.01 2200.00 2200.00 2270.00 2270.00 2280.00 2240.01 2240.00 2280.02 2230.00 2300.00 2240.01 2220.01 2210.00 2250.03 222
test1230.01 2180.01 2200.00 2200.00 2270.00 2270.00 2280.00 2240.01 2240.00 2280.02 2230.00 2300.01 2220.00 2230.01 2210.00 2250.03 222
RE-MVS-def21.59 166
9.1480.07 5
MTAPA54.82 1771.98 25
MTMP50.64 3368.31 31
Patchmatch-RL test0.69 227
NP-MVS72.62 31
Patchmtry64.49 13752.06 13934.21 18631.74 120
DeepMVS_CXcopyleft5.87 2254.32 2231.74 2219.04 2201.30 2257.97 2173.16 2258.56 2149.74 2196.30 22414.51 219