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.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort by
DPM-MVS85.41 1186.72 1683.89 1191.66 1391.92 1590.49 378.09 486.90 1973.95 2174.52 3582.01 1679.29 1390.24 190.65 189.86 690.78 74
DELS-MVS79.49 3279.84 4279.08 2988.26 3892.49 984.12 2670.63 2865.27 8369.60 3761.29 6566.50 6272.75 4588.07 388.03 289.13 1297.22 6
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
MCST-MVS85.75 986.99 1384.31 794.07 392.80 888.15 979.10 385.66 2470.72 3176.50 3380.45 2182.17 488.35 287.49 391.63 297.65 4
CNVR-MVS85.96 887.58 1184.06 992.58 592.40 1187.62 1177.77 588.44 1575.93 1879.49 2681.97 1781.65 587.04 686.58 488.79 1797.18 7
gm-plane-assit54.99 17957.99 17551.49 18869.27 14754.42 21232.32 21542.59 20221.18 21613.71 21223.61 20343.84 14960.21 11987.09 586.55 590.81 489.28 91
SMA-MVScopyleft85.24 1288.27 981.72 1691.74 1290.71 2186.71 1373.16 2090.56 1074.33 2083.07 1985.88 477.16 2086.28 985.58 687.23 6095.77 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
CHOSEN 1792x268872.55 7271.98 8173.22 6186.57 4792.41 1075.63 7466.77 5262.08 8952.32 9130.27 19350.74 13266.14 8586.22 1285.41 791.90 196.75 12
DeepPCF-MVS76.94 183.08 2087.77 1077.60 3690.11 2090.96 2078.48 5572.63 2393.10 465.84 4380.67 2481.55 1974.80 3185.94 1385.39 883.75 14396.77 11
HPM-MVS++copyleft85.64 1088.43 782.39 1392.65 490.24 2785.83 1774.21 1290.68 975.63 1986.77 1484.15 878.68 1686.33 885.26 987.32 5695.60 18
gg-mvs-nofinetune62.34 13966.19 12257.86 16476.15 10688.61 4071.18 11141.24 20925.74 21213.16 21422.91 20663.97 7154.52 15085.06 1685.25 1090.92 391.78 63
CSCG82.90 2184.52 2381.02 1991.85 1193.43 787.14 1274.01 1581.96 3476.14 1670.84 3982.49 1369.71 6482.32 4185.18 1187.26 5995.40 23
SED-MVS88.94 190.98 186.56 192.53 795.09 188.55 576.83 794.16 186.57 190.85 687.07 186.18 186.36 785.08 1288.67 2198.21 3
MVS_030479.43 3482.20 3276.20 4384.22 5491.79 1781.82 3863.81 7176.83 5261.71 5766.37 4975.52 3276.38 2485.54 1485.03 1389.28 1194.32 36
DeepC-MVS_fast75.41 281.69 2582.10 3481.20 1891.04 1787.81 5283.42 2874.04 1483.77 2871.09 2966.88 4772.44 3979.48 1185.08 1584.97 1488.12 3993.78 43
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DVP-MVS++.87.98 389.76 585.89 292.57 694.57 388.34 676.61 892.40 683.40 389.26 1185.57 586.04 286.24 1184.89 1588.39 3195.42 21
NCCC84.16 1785.46 2182.64 1292.34 890.57 2486.57 1476.51 986.85 2172.91 2477.20 3278.69 2779.09 1584.64 2084.88 1688.44 2995.41 22
CANet80.90 2982.93 3078.53 3286.83 4692.26 1281.19 4366.95 5081.60 3769.90 3466.93 4674.80 3376.79 2184.68 1984.77 1789.50 995.50 19
DVP-MVScopyleft88.07 290.73 284.97 591.98 1095.01 287.86 1076.88 693.90 285.15 290.11 886.90 279.46 1286.26 1084.67 1888.50 2898.25 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
MSP-MVS87.87 490.57 384.73 689.38 2891.60 1888.24 874.15 1393.55 382.28 494.99 183.21 1185.96 387.67 484.67 1888.32 3298.29 1
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
3Dnovator70.49 578.42 4076.77 5980.35 2191.43 1590.27 2681.84 3770.79 2772.10 6071.95 2550.02 10067.86 5877.47 1982.89 3284.24 2088.61 2489.99 83
DeepC-MVS74.46 380.30 3181.05 3779.42 2587.42 4288.50 4183.23 2973.27 1982.78 3171.01 3062.86 6069.93 5274.80 3184.30 2184.20 2186.79 7194.77 28
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PHI-MVS79.43 3484.06 2574.04 5786.15 4991.57 1980.85 4768.90 4182.22 3351.81 9478.10 2874.28 3470.39 6184.01 2484.00 2286.14 8494.24 37
MVSTER76.92 5079.92 4173.42 6074.98 11582.97 9578.15 5863.41 7578.02 4764.41 4767.54 4472.80 3871.05 5683.29 3083.73 2388.53 2791.12 69
ACMMP_NAP83.54 1886.37 1880.25 2289.57 2790.10 2985.27 2171.66 2487.38 1673.08 2384.23 1880.16 2275.31 2684.85 1783.64 2486.57 7394.21 39
SteuartSystems-ACMMP82.51 2285.35 2279.20 2790.25 1889.39 3484.79 2270.95 2682.86 3068.32 3986.44 1577.19 2873.07 4383.63 2583.64 2487.82 4194.34 34
Skip Steuart: Steuart Systems R&D Blog.
MVS_Test75.22 5876.69 6073.51 5879.30 7888.82 3880.06 5058.74 11369.77 6857.50 7659.78 7261.35 8175.31 2682.07 4683.60 2690.13 591.41 66
DPE-MVScopyleft87.60 590.44 484.29 892.09 993.44 688.69 475.11 1093.06 580.80 694.23 286.70 381.44 684.84 1883.52 2787.64 4797.28 5
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
MVS_111021_HR77.42 4778.40 4876.28 4286.95 4490.68 2277.41 6770.56 3166.21 7762.48 5366.17 5063.98 7072.08 5082.87 3383.15 2888.24 3595.71 16
MAR-MVS77.19 4978.37 4975.81 4789.87 2290.58 2379.33 5465.56 6177.62 5058.33 7159.24 7367.98 5674.83 3082.37 4083.12 2986.95 6687.67 108
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
CDPH-MVS79.39 3782.13 3376.19 4489.22 3188.34 4384.20 2571.00 2579.67 4456.97 7777.77 2972.24 4368.50 7681.33 5382.74 3087.23 6092.84 53
canonicalmvs77.65 4479.59 4375.39 4881.52 6589.83 3381.32 4260.74 10680.05 4266.72 4168.43 4365.09 6574.72 3378.87 7582.73 3187.32 5692.16 58
xxxxxxxxxxxxxcwj84.33 1583.20 2785.64 394.57 194.55 491.01 179.94 189.15 1279.85 792.37 344.71 14779.75 883.52 2682.72 3288.75 1995.37 24
SF-MVS87.30 688.71 685.64 394.57 194.55 491.01 179.94 189.15 1279.85 792.37 383.29 1079.75 883.52 2682.72 3288.75 1995.37 24
train_agg83.35 1986.93 1579.17 2889.70 2488.41 4285.60 2072.89 2286.31 2266.58 4290.48 782.24 1573.06 4483.10 3182.64 3487.21 6495.30 26
APDe-MVS86.37 788.41 884.00 1091.43 1591.83 1688.34 674.67 1191.19 781.76 591.13 581.94 1880.07 783.38 2882.58 3587.69 4596.78 10
FMVSNet370.41 8471.89 8368.68 9170.89 13879.42 12875.63 7460.97 10265.32 8051.06 9647.37 11162.05 7564.90 9082.49 3682.27 3688.64 2384.34 135
QAPM77.50 4677.43 5277.59 3791.52 1492.00 1481.41 4170.63 2866.22 7658.05 7254.70 8271.79 4574.49 3482.46 3782.04 3789.46 1092.79 55
3Dnovator+70.16 677.87 4377.29 5478.55 3189.25 3088.32 4480.09 4967.95 4574.89 5871.83 2752.05 9470.68 4976.27 2582.27 4282.04 3785.92 8990.77 75
EPNet79.28 3882.25 3175.83 4688.31 3790.14 2879.43 5368.07 4481.76 3661.26 6077.26 3170.08 5170.06 6282.43 3982.00 3987.82 4192.09 59
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
IB-MVS64.48 1169.02 9068.97 10169.09 8981.75 6489.01 3764.50 15164.91 6556.65 10962.59 5247.89 10745.23 14551.99 15569.18 17081.88 4088.77 1892.93 52
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
casdiffmvs75.20 5975.69 6674.63 5679.26 7989.07 3678.47 5663.59 7467.05 7463.79 4855.72 7960.32 8773.58 3982.16 4381.78 4189.08 1393.72 45
HQP-MVS78.26 4180.91 3875.17 5185.67 5184.33 8683.01 3169.38 3679.88 4355.83 7879.85 2564.90 6770.81 5782.46 3781.78 4186.30 7893.18 51
PVSNet_BlendedMVS76.84 5178.47 4674.95 5282.37 5989.90 3175.45 7865.45 6274.99 5670.66 3263.07 5858.27 9967.60 7984.24 2281.70 4388.18 3697.10 8
PVSNet_Blended76.84 5178.47 4674.95 5282.37 5989.90 3175.45 7865.45 6274.99 5670.66 3263.07 5858.27 9967.60 7984.24 2281.70 4388.18 3697.10 8
SD-MVS84.31 1686.96 1481.22 1788.98 3288.68 3985.65 1873.85 1689.09 1479.63 987.34 1384.84 673.71 3882.66 3581.60 4585.48 10694.51 32
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
DI_MVS_plusplus_trai73.94 6574.85 6972.88 6376.57 10386.80 6080.41 4861.47 9762.35 8859.44 6947.91 10668.12 5572.24 4882.84 3481.50 4687.15 6594.42 33
TSAR-MVS + GP.82.27 2485.98 1977.94 3480.72 7288.25 4581.12 4467.71 4687.10 1773.31 2285.23 1683.68 976.64 2280.43 6281.47 4788.15 3895.66 17
APD-MVScopyleft84.83 1387.00 1282.30 1489.61 2689.21 3586.51 1573.64 1790.98 877.99 1389.89 980.04 2479.18 1482.00 4881.37 4886.88 6895.49 20
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TSAR-MVS + ACMM81.59 2785.84 2076.63 4089.82 2386.53 6586.32 1666.72 5385.96 2365.43 4488.98 1282.29 1467.57 8182.06 4781.33 4983.93 14193.75 44
CLD-MVS77.36 4877.29 5477.45 3882.21 6188.11 4781.92 3668.96 4077.97 4869.62 3662.08 6159.44 9273.57 4081.75 5081.27 5088.41 3090.39 79
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ETV-MVS76.25 5380.22 4071.63 7178.23 8587.95 5172.75 9460.27 11077.50 5157.73 7371.53 3866.60 6173.16 4280.99 5881.23 5187.63 4895.73 15
HFP-MVS82.48 2384.12 2480.56 2090.15 1987.55 5484.28 2469.67 3585.22 2577.95 1484.69 1775.94 3175.04 2881.85 4981.17 5286.30 7892.40 57
zzz-MVS81.65 2683.10 2879.97 2488.14 3987.62 5383.96 2769.90 3286.92 1877.67 1572.47 3778.74 2674.13 3581.59 5281.15 5386.01 8893.19 50
ACMMPR80.62 3082.98 2977.87 3588.41 3487.05 5983.02 3069.18 3883.91 2768.35 3882.89 2073.64 3672.16 4980.78 6081.13 5486.10 8591.43 64
baseline171.47 7772.02 8070.82 7480.56 7384.51 8276.61 7166.93 5156.22 11348.66 10755.40 8060.43 8662.55 10483.35 2980.99 5589.60 783.28 144
FMVSNet268.06 9868.57 10367.45 10169.49 14378.65 13374.54 8560.23 11156.29 11249.64 10542.13 13857.08 10463.43 9781.15 5680.99 5587.37 5383.73 138
MP-MVScopyleft80.94 2883.49 2677.96 3388.48 3388.16 4682.82 3369.34 3780.79 4069.67 3582.35 2177.13 2971.60 5480.97 5980.96 5785.87 9294.06 40
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
TSAR-MVS + MP.84.39 1486.58 1781.83 1588.09 4086.47 6685.63 1973.62 1890.13 1179.24 1089.67 1082.99 1277.72 1881.22 5480.92 5886.68 7294.66 30
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
OpenMVScopyleft67.62 874.92 6073.91 7276.09 4590.10 2190.38 2578.01 5966.35 5566.09 7862.80 5046.33 12364.55 6971.77 5279.92 6680.88 5987.52 5189.20 92
CANet_DTU72.84 7076.63 6168.43 9476.81 10086.62 6475.54 7754.71 16272.06 6143.54 12867.11 4558.46 9672.40 4781.13 5780.82 6087.57 4990.21 81
DROMVSNet76.05 5578.87 4572.77 6478.87 8286.63 6277.50 6557.04 13475.34 5561.68 5864.20 5469.56 5373.96 3682.12 4480.65 6187.57 4993.57 46
ET-MVSNet_ETH3D71.38 7974.70 7067.51 10051.61 20888.06 4977.29 6860.95 10563.61 8548.36 10966.60 4860.67 8579.55 1073.56 12680.58 6287.30 5889.80 85
PGM-MVS79.42 3681.84 3576.60 4188.38 3686.69 6182.97 3265.75 5980.39 4164.94 4581.95 2372.11 4471.41 5580.45 6180.55 6386.18 8290.76 76
X-MVS78.16 4280.55 3975.38 4987.99 4186.27 6981.05 4568.98 3978.33 4661.07 6275.25 3472.27 4067.52 8280.03 6480.52 6485.66 10391.20 68
ECVR-MVS66.72 10967.80 11065.45 10977.42 9586.63 6269.69 12362.98 7955.29 11939.47 14840.12 15147.11 14055.70 14579.96 6580.00 6587.47 5285.49 128
diffmvs74.32 6175.42 6773.04 6275.60 11187.27 5678.20 5762.96 8068.66 7361.89 5559.79 7159.84 9071.80 5178.30 8279.87 6687.80 4394.23 38
ECVR-MVS1copyleft67.93 10068.49 10467.28 10378.64 8386.40 6772.22 9762.75 8758.05 10444.06 12640.92 14648.20 13758.05 13479.82 6779.70 6787.96 4086.32 119
CS-MVS73.80 6677.47 5169.53 8374.86 11785.07 7769.93 12156.91 13772.12 5954.28 8764.82 5366.85 6074.88 2979.25 7279.64 6886.30 7894.52 31
CP-MVS79.44 3381.51 3677.02 3986.95 4485.96 7382.00 3568.44 4381.82 3567.39 4077.43 3073.68 3571.62 5379.56 7079.58 6985.73 9692.51 56
OPM-MVS72.74 7170.93 9074.85 5485.30 5284.34 8582.82 3369.79 3349.96 13855.39 8354.09 8960.14 8970.04 6380.38 6379.43 7085.74 9588.20 104
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
baseline271.22 8173.01 7869.13 8775.76 10986.34 6871.23 10962.78 8662.62 8652.85 9057.32 7554.31 11863.27 10079.74 6879.31 7188.89 1591.43 64
GG-mvs-BLEND54.54 18277.58 5027.67 2110.03 22590.09 3077.20 690.02 22266.83 750.05 22659.90 7073.33 370.04 22178.40 8079.30 7288.65 2295.20 27
HyFIR lowres test68.39 9568.28 10768.52 9380.85 6988.11 4771.08 11358.09 11854.87 12547.80 11227.55 19955.80 11064.97 8979.11 7379.14 7388.31 3393.35 47
PVSNet_Blended_VisFu71.76 7673.54 7569.69 8279.01 8087.16 5872.05 9861.80 9456.46 11159.66 6853.88 9062.48 7359.08 12881.17 5578.90 7486.53 7594.74 29
MSLP-MVS++78.57 3977.33 5380.02 2388.39 3584.79 8084.62 2366.17 5775.96 5478.40 1161.59 6371.47 4673.54 4178.43 7978.88 7588.97 1490.18 82
CS-MVS-test73.97 6476.86 5770.60 7775.53 11283.16 9377.50 6557.04 13471.34 6253.25 8963.44 5764.85 6873.96 3682.12 4478.80 7686.30 7894.34 34
EIA-MVS73.48 6776.05 6370.47 7878.12 8687.21 5771.78 10160.63 10769.66 6955.56 8164.86 5260.69 8469.53 6777.35 8878.59 7787.22 6294.01 41
GA-MVS64.55 12465.76 12663.12 12969.68 14281.56 10669.59 12458.16 11745.23 15935.58 17147.01 11841.82 15259.41 12479.62 6978.54 7886.32 7786.56 115
IS_MVSNet67.29 10671.98 8161.82 14176.92 9984.32 8765.90 14958.22 11655.75 11739.22 15154.51 8562.47 7445.99 17678.83 7678.52 7984.70 12789.47 89
ACMMPcopyleft77.61 4579.59 4375.30 5085.87 5085.58 7481.42 4067.38 4979.38 4562.61 5178.53 2765.79 6468.80 7578.56 7878.50 8085.75 9390.80 73
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
MS-PatchMatch70.34 8669.00 10071.91 7085.20 5385.35 7577.84 6261.77 9558.01 10555.40 8241.26 14258.34 9861.69 10981.70 5178.29 8189.56 880.02 161
GBi-Net69.21 8770.40 9267.81 9769.49 14378.65 13374.54 8560.97 10265.32 8051.06 9647.37 11162.05 7563.43 9777.49 8478.22 8287.37 5383.73 138
test169.21 8770.40 9267.81 9769.49 14378.65 13374.54 8560.97 10265.32 8051.06 9647.37 11162.05 7563.43 9777.49 8478.22 8287.37 5383.73 138
FMVSNet163.48 13263.07 13963.97 12365.31 17176.37 15571.77 10357.90 12243.32 16645.66 11635.06 18049.43 13458.57 13077.49 8478.22 8284.59 13081.60 157
test-LLR68.23 9771.61 8564.28 12171.37 13381.32 11063.98 15661.03 10058.62 10142.96 13352.74 9161.65 7957.74 13875.64 10378.09 8588.61 2493.21 48
TESTMET0.1,167.38 10571.61 8562.45 13766.05 16681.32 11063.98 15655.36 15458.62 10142.96 13352.74 9161.65 7957.74 13875.64 10378.09 8588.61 2493.21 48
PCF-MVS70.85 475.73 5676.55 6274.78 5583.67 5588.04 5081.47 3970.62 3069.24 7257.52 7560.59 6969.18 5470.65 5977.11 8977.65 8784.75 12694.01 41
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
thisisatest053068.38 9670.98 8965.35 11072.61 12684.42 8368.21 13257.98 11959.77 9750.80 9954.63 8358.48 9557.92 13576.99 9177.47 8884.60 12985.07 129
tttt051767.99 9970.61 9164.94 11371.94 13183.96 8967.62 13657.98 11959.30 9949.90 10454.50 8657.98 10257.92 13576.48 9477.47 8884.24 13684.58 132
MVS_111021_LR74.26 6275.95 6472.27 6779.43 7785.04 7872.71 9565.27 6470.92 6463.58 4969.32 4160.31 8869.43 6977.01 9077.15 9083.22 15091.93 62
Effi-MVS+70.42 8271.23 8769.47 8478.04 8785.24 7675.57 7658.88 11259.56 9848.47 10852.73 9354.94 11569.69 6578.34 8177.06 9186.18 8290.73 77
Anonymous20240521166.35 12178.00 8884.41 8474.85 8263.18 7751.00 13431.37 19053.73 12369.67 6676.28 9576.84 9283.21 15290.85 72
AdaColmapbinary76.23 5473.55 7479.35 2689.38 2885.00 7979.99 5173.04 2176.60 5371.17 2855.18 8157.99 10177.87 1776.82 9276.82 9384.67 12886.45 116
Anonymous2023121168.44 9466.37 12070.86 7377.58 9283.49 9175.15 8161.89 9252.54 13158.50 7028.89 19556.78 10569.29 7274.96 11076.61 9482.73 15691.36 67
MIMVSNet57.78 17259.71 16755.53 17654.79 20377.10 15063.89 15845.02 19346.59 15336.79 16428.36 19740.77 16045.84 17774.97 10876.58 9586.87 6973.60 181
DCV-MVSNet69.13 8969.07 9969.21 8677.65 9177.52 14674.68 8357.85 12354.92 12355.34 8455.74 7855.56 11366.35 8475.05 10776.56 9683.35 14788.13 105
Fast-Effi-MVS+67.59 10167.56 11267.62 9973.67 12181.14 11271.12 11254.79 16158.88 10050.61 10146.70 12147.05 14169.12 7376.06 9976.44 9786.43 7686.65 114
CostFormer72.18 7373.90 7370.18 8079.47 7686.19 7276.94 7048.62 18166.07 7960.40 6754.14 8865.82 6367.98 7775.84 10176.41 9887.67 4692.83 54
baseline72.89 6974.46 7171.07 7275.99 10787.50 5574.57 8460.49 10870.72 6557.60 7460.63 6860.97 8370.79 5875.27 10676.33 9986.94 6789.79 86
LGP-MVS_train72.02 7573.18 7770.67 7682.13 6280.26 12179.58 5263.04 7870.09 6651.98 9265.06 5155.62 11262.49 10575.97 10076.32 10084.80 12588.93 95
Vis-MVSNetpermissive65.53 11769.83 9660.52 14770.80 13984.59 8166.37 14855.47 15348.40 14540.62 14657.67 7458.43 9745.37 17977.49 8476.24 10184.47 13285.99 123
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
CDS-MVSNet64.22 12665.89 12562.28 13970.05 14080.59 11769.91 12257.98 11943.53 16546.58 11448.22 10550.76 13146.45 17375.68 10276.08 10282.70 15786.34 118
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
test-mter64.06 12869.24 9858.01 16259.07 19577.40 14759.13 17848.11 18455.64 11839.18 15251.56 9658.54 9455.38 14773.52 12776.00 10387.22 6292.05 61
thres100view90067.14 10866.09 12368.38 9577.70 8983.84 9074.52 8866.33 5649.16 14243.40 13043.24 12741.34 15362.59 10379.31 7175.92 10485.73 9689.81 84
FC-MVSNet-train68.83 9268.29 10669.47 8478.35 8479.94 12264.72 15066.38 5454.96 12254.51 8656.75 7647.91 13966.91 8375.57 10575.75 10585.92 8987.12 110
EG-PatchMatch MVS58.73 16758.03 17459.55 15372.32 12780.49 11863.44 16255.55 15132.49 20138.31 15628.87 19637.22 17442.84 18474.30 11975.70 10684.84 12177.14 170
PMMVS70.37 8575.06 6864.90 11471.46 13281.88 10164.10 15355.64 14971.31 6346.69 11370.69 4058.56 9369.53 6779.03 7475.63 10781.96 16888.32 103
thres20065.58 11564.74 12966.56 10577.52 9481.61 10373.44 9362.95 8146.23 15442.45 13742.76 12941.18 15558.12 13276.24 9675.59 10884.89 11989.58 87
ACMM66.70 1070.42 8268.49 10472.67 6582.85 5677.76 14477.70 6364.76 6664.61 8460.74 6649.29 10153.97 12165.86 8674.97 10875.57 10984.13 14083.29 143
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
GeoE68.96 9169.32 9768.54 9276.61 10283.12 9471.78 10156.87 13860.21 9654.86 8545.95 12454.79 11764.27 9374.59 11275.54 11086.84 7091.01 71
TSAR-MVS + COLMAP73.09 6876.86 5768.71 9074.97 11682.49 10074.51 8961.83 9383.16 2949.31 10682.22 2251.62 12968.94 7478.76 7775.52 11182.67 15884.23 136
ACMP68.86 772.15 7472.25 7972.03 6880.96 6880.87 11577.93 6064.13 6969.29 7060.79 6564.04 5553.54 12463.91 9573.74 12575.27 11284.45 13388.98 94
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
UGNet67.57 10371.69 8462.76 13469.88 14182.58 9866.43 14658.64 11454.71 12651.87 9361.74 6262.01 7845.46 17874.78 11174.99 11384.24 13691.02 70
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
Vis-MVSNet (Re-imp)62.25 14268.74 10254.68 17973.70 12078.74 13256.51 18457.49 12855.22 12026.86 19254.56 8461.35 8131.06 19473.10 13074.90 11482.49 16183.31 142
v2v48263.68 13162.85 14364.65 11668.01 15280.46 11971.90 9957.60 12644.26 16242.82 13539.80 15338.62 16961.56 11073.06 13174.86 11586.03 8788.90 97
UniMVSNet_NR-MVSNet62.30 14163.51 13560.89 14569.48 14677.83 14264.07 15463.94 7050.03 13731.17 18444.82 12541.12 15651.37 15871.02 15274.81 11685.30 10884.95 130
test_part166.32 11063.35 13669.77 8177.40 9678.35 13777.85 6156.25 14244.52 16162.15 5433.05 18453.91 12262.38 10772.19 14274.65 11782.59 15986.81 112
thres40065.18 12064.44 13166.04 10676.40 10482.63 9771.52 10664.27 6844.93 16040.69 14541.86 13940.79 15958.12 13277.67 8374.64 11885.26 10988.56 100
tfpn200view965.90 11464.96 12767.00 10477.70 8981.58 10571.71 10462.94 8349.16 14243.40 13043.24 12741.34 15361.42 11176.24 9674.63 11984.84 12188.52 101
TranMVSNet+NR-MVSNet60.38 15761.30 15559.30 15668.34 15075.57 16363.38 16363.78 7246.74 15127.73 19042.56 13336.84 17647.66 16870.36 16174.59 12084.91 11882.46 150
v114463.00 13662.39 14763.70 12667.72 15580.27 12071.23 10956.40 13942.51 16740.81 14438.12 16137.73 17060.42 11874.46 11474.55 12185.64 10489.12 93
v1063.00 13662.22 14863.90 12567.88 15477.78 14371.59 10554.34 16345.37 15842.76 13638.53 15638.93 16761.05 11474.39 11674.52 12285.75 9386.04 121
IterMVS-LS66.08 11366.56 11965.51 10873.67 12174.88 16570.89 11653.55 16850.42 13648.32 11050.59 9855.66 11161.83 10873.93 12174.42 12384.82 12486.01 122
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v863.44 13362.58 14564.43 11868.28 15178.07 13971.82 10054.85 15946.70 15245.20 11939.40 15440.91 15860.54 11672.85 13574.39 12485.92 8985.76 125
V4262.86 13862.97 14062.74 13560.84 18978.99 13171.46 10757.13 13346.85 15044.28 12538.87 15540.73 16157.63 14072.60 13974.14 12585.09 11488.63 99
v119262.25 14261.64 15262.96 13066.88 16079.72 12469.96 12055.77 14741.58 17239.42 14937.05 16635.96 18360.50 11774.30 11974.09 12685.24 11088.76 98
OMC-MVS74.03 6375.82 6571.95 6979.56 7580.98 11375.35 8063.21 7684.48 2661.83 5661.54 6466.89 5969.41 7076.60 9374.07 12782.34 16486.15 120
NR-MVSNet61.08 15362.09 15059.90 15071.96 13075.87 15763.60 16061.96 9049.31 14027.95 18942.76 12933.85 19348.82 16574.35 11774.05 12885.13 11184.45 133
thisisatest051559.37 16260.68 16057.84 16564.39 17575.65 16258.56 18053.86 16641.55 17342.12 13840.40 14939.59 16547.09 17171.69 14973.79 12981.02 17682.08 154
IterMVS61.87 14863.55 13459.90 15067.29 15972.20 17767.34 14048.56 18247.48 14837.86 16047.07 11648.27 13554.08 15172.12 14373.71 13084.30 13583.99 137
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Baseline_NR-MVSNet59.47 16160.28 16258.54 16166.69 16173.90 17161.63 17062.90 8449.15 14426.87 19135.18 17937.62 17148.20 16669.67 16773.61 13184.92 11682.82 148
v14419262.05 14661.46 15462.73 13666.59 16479.87 12369.30 12655.88 14541.50 17439.41 15037.23 16436.45 17859.62 12272.69 13873.51 13285.61 10588.93 95
ACMH59.42 1461.59 15059.22 16964.36 12078.92 8178.26 13867.65 13567.48 4839.81 18030.98 18638.25 15934.59 18961.37 11370.55 15973.47 13379.74 18479.59 162
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
v192192061.66 14961.10 15762.31 13866.32 16579.57 12668.41 13155.49 15241.03 17538.69 15436.64 17235.27 18659.60 12373.23 12973.41 13485.37 10788.51 102
MDTV_nov1_ep1365.21 11967.28 11462.79 13270.91 13781.72 10269.28 12749.50 18058.08 10343.94 12750.50 9956.02 10858.86 12970.72 15573.37 13584.24 13680.52 160
v124061.09 15260.55 16161.72 14265.92 16979.28 12967.16 14154.91 15839.79 18138.10 15736.08 17434.64 18859.15 12772.86 13473.36 13685.10 11287.84 106
CPTT-MVS75.43 5777.13 5673.44 5981.43 6682.55 9980.96 4664.35 6777.95 4961.39 5969.20 4270.94 4869.38 7173.89 12273.32 13783.14 15392.06 60
pm-mvs159.21 16359.58 16858.77 16067.97 15377.07 15164.12 15257.20 13134.73 19736.86 16235.34 17740.54 16343.34 18374.32 11873.30 13883.13 15481.77 156
UniMVSNet (Re)60.62 15562.93 14257.92 16367.64 15677.90 14161.75 16961.24 9949.83 13929.80 18842.57 13240.62 16243.36 18270.49 16073.27 13983.76 14285.81 124
CR-MVSNet62.31 14064.75 12859.47 15468.63 14971.29 18367.53 13743.18 19955.83 11541.40 13941.04 14455.85 10957.29 14172.76 13673.27 13978.77 18983.23 145
PatchT60.46 15663.85 13356.51 17365.95 16875.68 16147.34 19841.39 20653.89 12941.40 13937.84 16250.30 13357.29 14172.76 13673.27 13985.67 10083.23 145
DU-MVS60.87 15461.82 15159.76 15266.69 16175.87 15764.07 15461.96 9049.31 14031.17 18442.76 12936.95 17551.37 15869.67 16773.20 14283.30 14984.95 130
tfpnnormal58.97 16456.48 17961.89 14071.27 13576.21 15666.65 14561.76 9632.90 20036.41 16627.83 19829.14 20650.64 16273.06 13173.05 14384.58 13183.15 147
MSDG65.57 11661.57 15370.24 7982.02 6376.47 15374.46 9168.73 4256.52 11050.33 10238.47 15741.10 15762.42 10672.12 14372.94 14483.47 14673.37 183
EPP-MVSNet67.58 10271.10 8863.48 12775.71 11083.35 9266.85 14257.83 12453.02 13041.15 14255.82 7767.89 5756.01 14474.40 11572.92 14583.33 14890.30 80
TransMVSNet (Re)57.83 17056.90 17758.91 15972.26 12874.69 16863.57 16161.42 9832.30 20232.65 18033.97 18235.96 18339.17 19073.84 12472.84 14684.37 13474.69 176
pmmvs559.72 15960.24 16359.11 15862.77 18377.33 14963.17 16454.00 16540.21 17937.23 16140.41 14835.99 18251.75 15672.55 14072.74 14785.72 9882.45 151
v14862.00 14761.19 15662.96 13067.46 15879.49 12767.87 13357.66 12542.30 16845.02 12138.20 16038.89 16854.77 14969.83 16672.60 14884.96 11587.01 111
TAPA-MVS67.10 971.45 7873.47 7669.10 8877.04 9880.78 11673.81 9262.10 8980.80 3951.28 9560.91 6663.80 7267.98 7774.59 11272.42 14982.37 16380.97 158
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
IterMVS-SCA-FT60.21 15862.97 14057.00 17166.64 16371.84 17867.53 13746.93 18947.56 14736.77 16546.85 12048.21 13652.51 15470.36 16172.40 15071.63 20783.53 141
UA-Net64.62 12268.23 10860.42 14877.53 9381.38 10860.08 17557.47 12947.01 14944.75 12260.68 6771.32 4741.84 18673.27 12872.25 15180.83 17871.68 188
EPNet_dtu66.17 11270.13 9561.54 14381.04 6777.39 14868.87 12962.50 8869.78 6733.51 17963.77 5656.22 10737.65 19272.20 14172.18 15285.69 9979.38 163
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
tpmrst67.15 10768.12 10966.03 10776.21 10580.98 11371.27 10845.05 19260.69 9450.63 10046.95 11954.15 12065.30 8771.80 14771.77 15387.72 4490.48 78
thres600view763.77 13063.14 13864.51 11775.49 11381.61 10369.59 12462.95 8143.96 16438.90 15341.09 14340.24 16455.25 14876.24 9671.54 15484.89 11987.30 109
tpm cat167.47 10467.05 11567.98 9676.63 10181.51 10774.49 9047.65 18661.18 9161.12 6142.51 13453.02 12764.74 9270.11 16471.50 15583.22 15089.49 88
pmmvs463.14 13462.46 14663.94 12466.03 16776.40 15466.82 14357.60 12656.74 10850.26 10340.81 14737.51 17259.26 12671.75 14871.48 15683.68 14582.53 149
Fast-Effi-MVS+-dtu63.05 13564.72 13061.11 14471.21 13676.81 15270.72 11743.13 20152.51 13235.34 17246.55 12246.36 14261.40 11271.57 15071.44 15784.84 12187.79 107
FMVSNet558.86 16560.24 16357.25 16952.66 20766.25 19563.77 15952.86 17357.85 10637.92 15936.12 17352.22 12851.37 15870.88 15471.43 15884.92 11666.91 199
EPMVS66.21 11167.49 11364.73 11575.81 10884.20 8868.94 12844.37 19661.55 9048.07 11149.21 10354.87 11662.88 10171.82 14671.40 15988.28 3479.37 164
PatchmatchNetpermissive65.43 11867.71 11162.78 13373.49 12382.83 9666.42 14745.40 19160.40 9545.27 11849.22 10257.60 10360.01 12070.61 15671.38 16086.08 8681.91 155
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
USDC59.69 16060.03 16559.28 15764.04 17671.84 17863.15 16555.36 15454.90 12435.02 17348.34 10429.79 20558.16 13170.60 15771.33 16179.99 18273.42 182
tpm64.85 12166.02 12463.48 12774.52 11878.38 13670.98 11544.99 19451.61 13343.28 13247.66 10953.18 12560.57 11570.58 15871.30 16286.54 7489.45 90
test0.0.03 157.35 17459.89 16654.38 18271.37 13373.45 17352.71 19061.03 10046.11 15526.33 19341.73 14044.08 14829.72 19671.43 15170.90 16385.10 11271.56 189
SCA63.90 12966.67 11660.66 14673.75 11971.78 18059.87 17643.66 19761.13 9245.03 12051.64 9559.45 9157.92 13570.96 15370.80 16483.71 14480.92 159
TAMVS58.86 16560.91 15856.47 17462.38 18577.57 14558.97 17952.98 17138.76 18436.17 16742.26 13747.94 13846.45 17370.23 16370.79 16581.86 16978.82 166
PLCcopyleft64.00 1268.54 9366.66 11770.74 7580.28 7474.88 16572.64 9663.70 7369.26 7155.71 7947.24 11455.31 11470.42 6072.05 14570.67 16681.66 17177.19 169
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
anonymousdsp54.99 17957.24 17652.36 18553.82 20571.75 18151.49 19148.14 18333.74 19833.66 17838.34 15836.13 18147.54 16964.53 18670.60 16779.53 18685.59 127
CNLPA71.37 8070.27 9472.66 6680.79 7181.33 10971.07 11465.75 5982.36 3264.80 4642.46 13556.49 10672.70 4673.00 13370.52 16880.84 17785.76 125
v7n57.04 17556.64 17857.52 16762.85 18274.75 16761.76 16851.80 17635.58 19636.02 16932.33 18733.61 19450.16 16367.73 17470.34 16982.51 16082.12 153
dps64.08 12763.22 13765.08 11275.27 11479.65 12566.68 14446.63 19056.94 10755.67 8043.96 12643.63 15064.00 9469.50 16969.82 17082.25 16579.02 165
UniMVSNet_ETH3D57.83 17056.46 18059.43 15563.24 18073.22 17467.70 13455.58 15036.17 19236.84 16332.64 18535.14 18751.50 15765.81 17869.81 17181.73 17082.44 152
ACMH+60.36 1361.16 15158.38 17164.42 11977.37 9774.35 17068.45 13062.81 8545.86 15638.48 15535.71 17537.35 17359.81 12167.24 17569.80 17279.58 18578.32 167
CHOSEN 280x42062.23 14466.57 11857.17 17059.88 19268.92 18961.20 17242.28 20354.17 12739.57 14747.78 10864.97 6662.68 10273.85 12369.52 17377.43 19386.75 113
pmmvs654.20 18453.54 18654.97 17763.22 18172.98 17560.17 17452.32 17526.77 21134.30 17623.29 20536.23 18040.33 18968.77 17168.76 17479.47 18778.00 168
LS3D64.54 12562.14 14967.34 10280.85 6975.79 15969.99 11965.87 5860.77 9344.35 12442.43 13645.95 14465.01 8869.88 16568.69 17577.97 19271.43 190
Anonymous2023120652.23 18952.80 19151.56 18764.70 17469.41 18751.01 19258.60 11536.63 18922.44 19921.80 20831.42 20030.52 19566.79 17667.83 17682.10 16775.73 172
RPMNet58.63 16862.80 14453.76 18467.59 15771.29 18354.60 18738.13 21155.83 11535.70 17041.58 14153.04 12647.89 16766.10 17767.38 17778.65 19184.40 134
pmmvs-eth3d55.20 17653.95 18556.65 17257.34 20167.77 19157.54 18253.74 16740.93 17641.09 14331.19 19129.10 20749.07 16465.54 17967.28 17881.14 17475.81 171
PatchMatch-RL62.22 14560.69 15964.01 12268.74 14875.75 16059.27 17760.35 10956.09 11453.80 8847.06 11736.45 17864.80 9168.22 17267.22 17977.10 19474.02 178
MVS-HIRNet53.86 18653.02 18854.85 17860.30 19172.36 17644.63 20642.20 20439.45 18243.47 12921.66 20934.00 19255.47 14665.42 18067.16 18083.02 15571.08 192
testgi48.51 19950.53 19746.16 20064.78 17267.15 19441.54 20854.81 16029.12 20717.03 20432.07 18831.98 19620.15 21065.26 18167.00 18178.67 19061.10 210
ADS-MVSNet58.40 16959.16 17057.52 16765.80 17074.57 16960.26 17340.17 21050.51 13538.01 15840.11 15244.72 14659.36 12564.91 18266.55 18281.53 17272.72 186
PEN-MVS51.04 19052.94 18948.82 19261.45 18866.00 19648.68 19557.20 13136.87 18715.36 20836.98 16732.72 19528.77 20057.63 19866.37 18381.44 17374.00 179
Effi-MVS+-dtu64.58 12364.08 13265.16 11173.04 12575.17 16470.68 11856.23 14354.12 12844.71 12347.42 11051.10 13063.82 9668.08 17366.32 18482.47 16286.38 117
MDTV_nov1_ep13_2view54.47 18354.61 18254.30 18360.50 19073.82 17257.92 18143.38 19839.43 18332.51 18133.23 18334.05 19147.26 17062.36 19066.21 18584.24 13673.19 184
WR-MVS51.02 19154.56 18346.90 19863.84 17769.23 18844.78 20556.38 14038.19 18514.19 21037.38 16336.82 17722.39 20660.14 19466.20 18679.81 18373.95 180
test20.0347.23 20248.69 20245.53 20263.28 17964.39 20041.01 20956.93 13629.16 20615.21 20923.90 20230.76 20317.51 21364.63 18565.26 18779.21 18862.71 207
DTE-MVSNet49.82 19551.92 19547.37 19761.75 18764.38 20145.89 20457.33 13036.11 19312.79 21536.87 16831.93 19825.73 20358.01 19665.22 18880.75 17970.93 193
TinyColmap52.66 18850.09 19955.65 17559.72 19364.02 20357.15 18352.96 17240.28 17832.51 18132.42 18620.97 21656.65 14363.95 18865.15 18974.91 20063.87 204
CMPMVSbinary43.63 1757.67 17355.43 18160.28 14972.01 12979.00 13062.77 16653.23 17041.77 17145.42 11730.74 19239.03 16653.01 15364.81 18464.65 19075.26 19968.03 197
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
CVMVSNet54.92 18158.16 17251.13 18962.61 18468.44 19055.45 18652.38 17442.28 16921.45 20047.10 11546.10 14337.96 19164.42 18763.81 19176.92 19575.01 175
pmnet_mix0253.92 18553.30 18754.65 18161.89 18671.33 18254.54 18854.17 16440.38 17734.65 17434.76 18130.68 20440.44 18860.97 19263.71 19282.19 16671.24 191
CP-MVSNet50.57 19252.60 19348.21 19558.77 19765.82 19748.17 19656.29 14137.41 18616.59 20537.14 16531.95 19729.21 19756.60 20163.71 19280.22 18075.56 173
PS-CasMVS50.17 19352.02 19448.02 19658.60 19865.54 19848.04 19756.19 14436.42 19116.42 20735.68 17631.33 20128.85 19956.42 20363.54 19480.01 18175.18 174
LTVRE_ROB47.26 1649.41 19749.91 20048.82 19264.76 17369.79 18649.05 19447.12 18820.36 21816.52 20636.65 17126.96 20950.76 16160.47 19363.16 19564.73 21072.00 187
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
WR-MVS_H49.62 19652.63 19246.11 20158.80 19667.58 19246.14 20354.94 15636.51 19013.63 21336.75 17035.67 18522.10 20756.43 20262.76 19681.06 17572.73 185
COLMAP_ROBcopyleft51.17 1555.13 17752.90 19057.73 16673.47 12467.21 19362.13 16755.82 14647.83 14634.39 17531.60 18934.24 19044.90 18063.88 18962.52 19775.67 19763.02 206
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
TDRefinement52.70 18751.02 19654.66 18057.41 20065.06 19961.47 17154.94 15644.03 16333.93 17730.13 19427.57 20846.17 17561.86 19162.48 19874.01 20366.06 200
FC-MVSNet-test47.24 20154.37 18438.93 20759.49 19458.25 21034.48 21453.36 16945.66 1576.66 22050.62 9742.02 15116.62 21458.39 19561.21 19962.99 21164.40 203
MIMVSNet140.84 20743.46 20537.79 20832.14 21658.92 20939.24 21150.83 17827.00 21011.29 21716.76 21526.53 21117.75 21257.14 20061.12 20075.46 19856.78 211
N_pmnet47.67 20047.00 20448.45 19454.72 20462.78 20446.95 20051.25 17736.01 19426.09 19426.59 20125.93 21335.50 19355.67 20559.01 20176.22 19663.04 205
pmmvs341.86 20642.29 20841.36 20439.80 21452.66 21338.93 21235.85 21523.40 21520.22 20219.30 21020.84 21740.56 18755.98 20458.79 20272.80 20565.03 202
SixPastTwentyTwo49.11 19849.22 20148.99 19158.54 19964.14 20247.18 19947.75 18531.15 20424.42 19541.01 14526.55 21044.04 18154.76 20658.70 20371.99 20668.21 195
MDA-MVSNet-bldmvs44.15 20442.27 20946.34 19938.34 21562.31 20546.28 20155.74 14829.83 20520.98 20127.11 20016.45 22141.98 18541.11 21357.47 20474.72 20161.65 209
ambc42.30 20750.36 20949.51 21435.47 21332.04 20323.53 19617.36 2128.95 22329.06 19864.88 18356.26 20561.29 21267.12 198
new-patchmatchnet42.21 20542.97 20641.33 20553.05 20659.89 20739.38 21049.61 17928.26 20912.10 21622.17 20721.54 21519.22 21150.96 20856.04 20674.61 20261.92 208
EU-MVSNet44.84 20347.85 20341.32 20649.26 21056.59 21143.07 20747.64 18733.03 19913.82 21136.78 16930.99 20224.37 20453.80 20755.57 20769.78 20868.21 195
PM-MVS50.11 19450.38 19849.80 19047.23 21362.08 20650.91 19344.84 19541.90 17036.10 16835.22 17826.05 21246.83 17257.64 19755.42 20872.90 20474.32 177
RPSCF55.07 17858.06 17351.57 18648.87 21158.95 20853.68 18941.26 20862.42 8745.88 11554.38 8754.26 11953.75 15257.15 19953.53 20966.01 20965.75 201
Gipumacopyleft24.91 21224.61 21425.26 21231.47 21721.59 21918.06 21937.53 21225.43 21310.03 2184.18 2214.25 22514.85 21543.20 21147.03 21039.62 21726.55 218
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new_pmnet33.19 20935.52 21130.47 21027.55 22045.31 21629.29 21630.92 21629.00 2089.88 21918.77 21117.64 22026.77 20244.07 20945.98 21158.41 21447.87 212
FPMVS39.11 20836.39 21042.28 20355.97 20245.94 21546.23 20241.57 20535.73 19522.61 19723.46 20419.82 21828.32 20143.57 21040.67 21258.96 21345.54 213
PMVScopyleft27.44 1832.08 21029.07 21335.60 20948.33 21224.79 21826.97 21741.34 20720.45 21722.50 19817.11 21418.64 21920.44 20941.99 21238.06 21354.02 21542.44 214
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS220.45 21322.31 21518.27 21620.52 22126.73 21714.85 22128.43 21813.69 2190.79 22510.35 2179.10 2223.83 22027.64 21632.87 21441.17 21635.81 215
MVEpermissive15.98 1914.37 21616.36 21612.04 2187.72 22320.24 2215.90 22529.05 2178.28 2223.92 2224.72 2202.42 2269.57 21818.89 21831.46 21516.07 22328.53 217
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method28.15 21134.48 21220.76 2136.76 22421.18 22021.03 21818.41 21936.77 18817.52 20315.67 21631.63 19924.05 20541.03 21426.69 21636.82 21868.38 194
tmp_tt16.09 21713.07 2228.12 22513.61 2222.08 22155.09 12130.10 18740.26 15022.83 2145.35 21929.91 21525.25 21732.33 219
E-PMN15.08 21411.65 21719.08 21428.73 21812.31 2236.95 22436.87 21410.71 2213.63 2235.13 2182.22 22813.81 21711.34 21918.50 21824.49 22021.32 219
EMVS14.40 21510.71 21818.70 21528.15 21912.09 2247.06 22336.89 21311.00 2203.56 2244.95 2192.27 22713.91 21610.13 22016.06 21922.63 22118.51 220
testmvs0.05 2170.08 2190.01 2190.00 2260.01 2260.03 2270.01 2230.05 2230.00 2270.14 2230.01 2290.03 2230.05 2210.05 2200.01 2240.24 222
test1230.05 2170.08 2190.01 2190.00 2260.01 2260.01 2280.00 2240.05 2230.00 2270.16 2220.00 2300.04 2210.02 2220.05 2200.00 2250.26 221
uanet_test0.00 2190.00 2210.00 2210.00 2260.00 2280.00 2290.00 2240.00 2250.00 2270.00 2240.00 2300.00 2240.00 2230.00 2220.00 2250.00 223
sosnet-low-res0.00 2190.00 2210.00 2210.00 2260.00 2280.00 2290.00 2240.00 2250.00 2270.00 2240.00 2300.00 2240.00 2230.00 2220.00 2250.00 223
sosnet0.00 2190.00 2210.00 2210.00 2260.00 2280.00 2290.00 2240.00 2250.00 2270.00 2240.00 2300.00 2240.00 2230.00 2220.00 2250.00 223
RE-MVS-def31.47 183
9.1484.47 7
SR-MVS86.33 4867.54 4780.78 20
our_test_363.32 17871.07 18555.90 185
MTAPA78.32 1279.42 25
MTMP76.04 1776.65 30
Patchmatch-RL test2.17 226
XVS82.43 5786.27 6975.70 7261.07 6272.27 4085.67 100
X-MVStestdata82.43 5786.27 6975.70 7261.07 6272.27 4085.67 100
abl_679.06 3089.68 2592.14 1377.70 6369.68 3486.87 2071.88 2674.29 3680.06 2376.56 2388.84 1695.82 13
mPP-MVS86.96 4370.61 50
NP-MVS81.60 37
Patchmtry78.06 14067.53 13743.18 19941.40 139
DeepMVS_CXcopyleft19.81 22217.01 22010.02 22023.61 2145.85 22117.21 2138.03 22421.13 20822.60 21721.42 22230.01 216