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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
APDe-MVS88.00 190.50 185.08 190.95 491.58 392.03 175.53 791.15 180.10 892.27 288.34 580.80 288.00 986.99 1391.09 495.16 1
HSP-MVS87.45 290.22 284.22 690.00 1791.80 290.59 375.80 389.93 378.35 1492.54 189.18 280.89 187.99 1086.29 2489.70 3493.85 7
SD-MVS86.96 489.45 384.05 990.13 1489.23 1689.77 1174.59 889.17 480.70 589.93 689.67 178.47 787.57 1486.79 1690.67 1193.76 10
TSAR-MVS + MP.86.88 589.23 484.14 789.78 2088.67 2590.59 373.46 2088.99 580.52 791.26 388.65 379.91 486.96 2486.22 2590.59 1293.83 8
ACMMP_Plus86.52 789.01 583.62 1190.28 1390.09 790.32 674.05 1488.32 879.74 987.04 1085.59 1676.97 2389.35 188.44 390.35 2394.27 5
DeepPCF-MVS79.04 185.30 1588.93 681.06 2588.77 2890.48 485.46 3973.08 2190.97 273.77 3084.81 1685.95 1377.43 1788.22 687.73 687.85 6594.34 3
HPM-MVS++87.09 388.92 784.95 292.61 187.91 3390.23 876.06 288.85 681.20 487.33 887.93 679.47 588.59 488.23 490.15 2793.60 14
APD-MVScopyleft86.84 688.91 884.41 390.66 790.10 690.78 275.64 487.38 1178.72 1290.68 586.82 980.15 387.13 1986.45 2290.51 1493.83 8
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TSAR-MVS + ACMM85.10 1888.81 980.77 2889.55 2288.53 2788.59 2172.55 2387.39 1071.90 3690.95 487.55 774.57 2887.08 2186.54 2087.47 7093.67 11
SteuartSystems-ACMMP85.99 1088.31 1083.27 1590.73 689.84 890.27 774.31 984.56 2475.88 2387.32 985.04 1777.31 1889.01 388.46 291.14 393.96 6
Skip Steuart: Steuart Systems R&D Blog.
CNVR-MVS86.36 888.19 1184.23 591.33 389.84 890.34 575.56 587.36 1278.97 1181.19 2286.76 1078.74 689.30 288.58 190.45 2094.33 4
HFP-MVS86.15 987.95 1284.06 890.80 589.20 1789.62 1374.26 1087.52 980.63 686.82 1184.19 2278.22 987.58 1387.19 1190.81 693.13 18
CSCG85.28 1687.68 1382.49 1989.95 1891.99 188.82 1871.20 3086.41 1679.63 1079.26 2388.36 473.94 3386.64 2686.67 1991.40 294.41 2
ACMMPR85.52 1287.53 1483.17 1690.13 1489.27 1489.30 1473.97 1586.89 1477.14 1986.09 1283.18 2577.74 1487.42 1587.20 1090.77 792.63 19
MP-MVScopyleft85.50 1387.40 1583.28 1490.65 889.51 1389.16 1774.11 1383.70 2778.06 1685.54 1484.89 2077.31 1887.40 1687.14 1290.41 2193.65 13
train_agg84.86 1987.21 1682.11 2190.59 985.47 4889.81 973.55 1983.95 2673.30 3189.84 787.23 875.61 2686.47 2885.46 3289.78 3092.06 26
MPTG85.71 1186.88 1784.34 490.54 1187.11 3789.77 1174.17 1288.54 783.08 278.60 2686.10 1278.11 1087.80 1287.46 990.35 2392.56 20
MCST-MVS85.13 1786.62 1883.39 1290.55 1089.82 1089.29 1573.89 1784.38 2576.03 2279.01 2585.90 1478.47 787.81 1186.11 2792.11 193.29 16
NCCC85.34 1486.59 1983.88 1091.48 288.88 1989.79 1075.54 686.67 1577.94 1776.55 2984.99 1878.07 1188.04 787.68 790.46 1993.31 15
TSAR-MVS + GP.83.69 2486.58 2080.32 2985.14 4786.96 3884.91 4370.25 3484.71 2373.91 2985.16 1585.63 1577.92 1285.44 3485.71 3089.77 3192.45 21
CP-MVS84.74 2186.43 2182.77 1889.48 2388.13 3288.64 1973.93 1684.92 1976.77 2081.94 2083.50 2377.29 2086.92 2586.49 2190.49 1593.14 17
PGM-MVS84.42 2286.29 2282.23 2090.04 1688.82 2189.23 1671.74 2882.82 3074.61 2684.41 1782.09 2777.03 2287.13 1986.73 1890.73 992.06 26
DeepC-MVS78.47 284.81 2086.03 2383.37 1389.29 2590.38 588.61 2076.50 186.25 1777.22 1875.12 3380.28 3777.59 1688.39 588.17 591.02 593.66 12
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PHI-MVS82.36 2985.89 2478.24 4286.40 4089.52 1285.52 3769.52 4182.38 3365.67 5981.35 2182.36 2673.07 3887.31 1886.76 1789.24 4191.56 29
DeepC-MVS_fast78.24 384.27 2385.50 2582.85 1790.46 1289.24 1587.83 2674.24 1184.88 2076.23 2175.26 3281.05 3577.62 1588.02 887.62 890.69 1092.41 22
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPcopyleft83.42 2585.27 2681.26 2488.47 2988.49 2888.31 2472.09 2583.42 2872.77 3482.65 1878.22 4175.18 2786.24 3185.76 2990.74 892.13 25
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
X-MVS83.23 2685.20 2780.92 2789.71 2188.68 2288.21 2573.60 1882.57 3171.81 3977.07 2781.92 2971.72 4886.98 2386.86 1490.47 1692.36 23
CDPH-MVS82.64 2785.03 2879.86 3289.41 2488.31 2988.32 2371.84 2780.11 3867.47 5482.09 1981.44 3371.85 4685.89 3386.15 2690.24 2591.25 32
MVS_030481.73 3283.86 2979.26 3586.22 4289.18 1886.41 3167.15 5575.28 4870.75 4674.59 3583.49 2474.42 3087.05 2286.34 2390.58 1391.08 34
CANet81.62 3383.41 3079.53 3487.06 3588.59 2685.47 3867.96 5176.59 4674.05 2774.69 3481.98 2872.98 3986.14 3285.47 3189.68 3590.42 40
HQP-MVS81.19 3483.27 3178.76 3987.40 3385.45 4986.95 2870.47 3381.31 3566.91 5779.24 2476.63 4571.67 4984.43 4183.78 4289.19 4392.05 28
CPTT-MVS81.77 3183.10 3280.21 3085.93 4386.45 4387.72 2770.98 3182.54 3271.53 4274.23 3881.49 3276.31 2582.85 5581.87 5188.79 5092.26 24
3Dnovator+75.73 482.40 2882.76 3381.97 2288.02 3089.67 1186.60 3071.48 2981.28 3678.18 1564.78 6877.96 4377.13 2187.32 1786.83 1590.41 2191.48 30
MSLP-MVS++82.09 3082.66 3481.42 2387.03 3687.22 3685.82 3570.04 3580.30 3778.66 1368.67 5581.04 3677.81 1385.19 3784.88 3789.19 4391.31 31
OMC-MVS80.26 3582.59 3577.54 4583.04 5585.54 4783.25 5065.05 6887.32 1372.42 3572.04 4378.97 3973.30 3683.86 4481.60 5488.15 5688.83 48
canonicalmvs79.16 4582.37 3675.41 5382.33 6086.38 4480.80 5563.18 7982.90 2967.34 5572.79 4176.07 4769.62 5783.46 5184.41 3989.20 4290.60 38
TSAR-MVS + COLMAP78.34 5081.64 3774.48 6080.13 7185.01 5381.73 5165.93 6484.75 2261.68 7085.79 1366.27 8471.39 5082.91 5480.78 6186.01 12485.98 63
MVS_111021_HR80.13 3681.46 3878.58 4085.77 4485.17 5283.45 4969.28 4274.08 5470.31 4774.31 3775.26 5173.13 3786.46 2985.15 3589.53 3789.81 43
CLD-MVS79.35 4381.23 3977.16 4785.01 5086.92 3985.87 3460.89 11280.07 4075.35 2572.96 4073.21 5768.43 6485.41 3684.63 3887.41 7185.44 72
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LGP-MVS_train79.83 3781.22 4078.22 4386.28 4185.36 5186.76 2969.59 3977.34 4365.14 6175.68 3170.79 6471.37 5184.60 3984.01 4090.18 2690.74 36
DELS-MVS79.15 4681.07 4176.91 4883.54 5487.31 3584.45 4464.92 6969.98 5969.34 4871.62 4576.26 4669.84 5686.57 2785.90 2889.39 3989.88 42
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
EPNet79.08 4780.62 4277.28 4688.90 2783.17 6583.65 4772.41 2474.41 5167.15 5676.78 2874.37 5364.43 9983.70 4783.69 4387.15 7688.19 50
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
ACMP73.23 779.79 3880.53 4378.94 3785.61 4585.68 4685.61 3669.59 3977.33 4471.00 4574.45 3669.16 7371.88 4483.15 5283.37 4589.92 2990.57 39
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
3Dnovator73.76 579.75 3980.52 4478.84 3884.94 5287.35 3484.43 4565.54 6578.29 4273.97 2863.00 7475.62 5074.07 3285.00 3885.34 3390.11 2889.04 46
PCF-MVS73.28 679.42 4280.41 4578.26 4184.88 5388.17 3086.08 3269.85 3675.23 5068.43 4968.03 5878.38 4071.76 4781.26 6980.65 7088.56 5391.18 33
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MAR-MVS79.21 4480.32 4677.92 4487.46 3288.15 3183.95 4667.48 5474.28 5268.25 5064.70 6977.04 4472.17 4385.42 3585.00 3688.22 5487.62 55
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
QAPM78.47 4980.22 4776.43 5085.03 4986.75 4180.62 5666.00 6273.77 5565.35 6065.54 6678.02 4272.69 4083.71 4683.36 4688.87 4990.41 41
TAPA-MVS71.42 977.69 5280.05 4874.94 5680.68 6784.52 5581.36 5263.14 8084.77 2164.82 6368.72 5375.91 4971.86 4581.62 6079.55 8287.80 6685.24 75
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
MVS_111021_LR78.13 5179.85 4976.13 5181.12 6481.50 7280.28 5765.25 6676.09 4771.32 4476.49 3072.87 5872.21 4282.79 5681.29 5686.59 11187.91 52
OPM-MVS79.68 4179.28 5080.15 3187.99 3186.77 4088.52 2272.72 2264.55 8067.65 5367.87 5974.33 5474.31 3186.37 3085.25 3489.73 3389.81 43
AdaColmapbinary79.74 4078.62 5181.05 2689.23 2686.06 4584.95 4271.96 2679.39 4175.51 2463.16 7268.84 7876.51 2483.55 4882.85 4788.13 5786.46 61
ACMM72.26 878.86 4878.13 5279.71 3386.89 3783.40 6286.02 3370.50 3275.28 4871.49 4363.01 7369.26 7273.57 3584.11 4383.98 4189.76 3287.84 53
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_Blended_VisFu76.57 5477.90 5375.02 5580.56 6886.58 4279.24 6466.18 5964.81 7768.18 5165.61 6471.45 6167.05 6684.16 4281.80 5288.90 4790.92 35
UA-Net74.47 6277.80 5470.59 8185.33 4685.40 5073.54 13465.98 6360.65 10456.00 10572.11 4279.15 3854.63 16083.13 5382.25 4988.04 5981.92 120
UGNet72.78 6977.67 5567.07 13071.65 16083.24 6375.20 10963.62 7664.93 7656.72 9971.82 4473.30 5549.02 17581.02 7280.70 6886.22 11588.67 49
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
CNLPA77.20 5377.54 5676.80 4982.63 5784.31 5679.77 6064.64 7085.17 1873.18 3256.37 10669.81 6974.53 2981.12 7178.69 8986.04 12387.29 58
PVSNet_BlendedMVS76.21 5577.52 5774.69 5879.46 7383.79 5977.50 9864.34 7369.88 6071.88 3768.54 5670.42 6667.05 6683.48 4979.63 7887.89 6386.87 59
PVSNet_Blended76.21 5577.52 5774.69 5879.46 7383.79 5977.50 9864.34 7369.88 6071.88 3768.54 5670.42 6667.05 6683.48 4979.63 7887.89 6386.87 59
EPP-MVSNet74.00 6477.41 5970.02 9680.53 6983.91 5874.99 11562.68 9365.06 7549.77 14168.68 5472.09 6063.06 10582.49 5780.73 6289.12 4588.91 47
IS_MVSNet73.33 6577.34 6068.65 10981.29 6283.47 6174.45 11863.58 7765.75 7248.49 14467.11 6370.61 6554.63 16084.51 4083.58 4489.48 3886.34 62
Vis-MVSNetpermissive72.77 7077.20 6167.59 12074.19 13784.01 5776.61 10561.69 10860.62 10550.61 13570.25 4971.31 6355.57 15583.85 4582.28 4886.90 9088.08 51
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS_Test75.37 5977.13 6273.31 6479.07 7681.32 7479.98 5860.12 12969.72 6264.11 6570.53 4773.22 5668.90 6080.14 8679.48 8487.67 6785.50 70
CANet_DTU73.29 6676.96 6369.00 10577.04 9982.06 7079.49 6356.30 16367.85 6453.29 11971.12 4670.37 6861.81 11581.59 6180.96 5986.09 11884.73 84
OpenMVScopyleft70.44 1076.15 5776.82 6475.37 5485.01 5084.79 5478.99 6962.07 10371.27 5867.88 5257.91 9872.36 5970.15 5582.23 5881.41 5588.12 5887.78 54
Effi-MVS+75.28 6076.20 6574.20 6181.15 6383.24 6381.11 5363.13 8166.37 6660.27 7564.30 7068.88 7770.93 5481.56 6281.69 5388.61 5187.35 56
DI_MVS_plusplus_trai75.13 6176.12 6673.96 6278.18 8181.55 7180.97 5462.54 9768.59 6365.13 6261.43 7574.81 5269.32 5981.01 7379.59 8087.64 6885.89 64
diffmvs73.13 6775.65 6770.19 9374.07 13877.17 12778.24 9257.45 15672.44 5764.02 6669.05 5175.92 4864.86 9775.18 14875.27 15082.47 15984.53 85
PLCcopyleft68.99 1175.68 5875.31 6876.12 5282.94 5681.26 7579.94 5966.10 6077.15 4566.86 5859.13 8768.53 7973.73 3480.38 8079.04 8687.13 8081.68 122
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
FC-MVSNet-train72.60 7175.07 6969.71 10081.10 6578.79 10673.74 13265.23 6766.10 6953.34 11870.36 4863.40 9256.92 14381.44 6380.96 5987.93 6184.46 86
MVSTER72.06 7274.24 7069.51 10170.39 16875.97 14876.91 10257.36 15864.64 7961.39 7268.86 5263.76 9063.46 10281.44 6379.70 7787.56 6985.31 74
Fast-Effi-MVS+73.11 6873.66 7172.48 6677.72 9280.88 8178.55 8458.83 14865.19 7460.36 7459.98 8262.42 9571.22 5281.66 5980.61 7288.20 5584.88 83
Vis-MVSNet (Re-imp)67.83 12873.52 7261.19 16578.37 8076.72 13966.80 16862.96 8265.50 7334.17 19067.19 6269.68 7039.20 19379.39 9779.44 8585.68 13676.73 162
LS3D74.08 6373.39 7374.88 5785.05 4882.62 6879.71 6168.66 4572.82 5658.80 8057.61 9961.31 9771.07 5380.32 8278.87 8886.00 12680.18 135
GBi-Net70.78 7873.37 7467.76 11472.95 14878.00 11475.15 11062.72 8864.13 8151.44 12758.37 9269.02 7457.59 13581.33 6680.72 6386.70 10582.02 114
test170.78 7873.37 7467.76 11472.95 14878.00 11475.15 11062.72 8864.13 8151.44 12758.37 9269.02 7457.59 13581.33 6680.72 6386.70 10582.02 114
FMVSNet370.49 8272.90 7667.67 11872.88 15177.98 11774.96 11662.72 8864.13 8151.44 12758.37 9269.02 7457.43 13879.43 9679.57 8186.59 11181.81 121
IterMVS-LS71.69 7472.82 7770.37 9077.54 9476.34 14575.13 11360.46 11961.53 9957.57 8864.89 6767.33 8166.04 9177.09 13377.37 11385.48 13985.18 76
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
FMVSNet270.39 8372.67 7867.72 11772.95 14878.00 11475.15 11062.69 9263.29 8651.25 13155.64 10868.49 8057.59 13580.91 7480.35 7486.70 10582.02 114
UniMVSNet_NR-MVSNet70.59 8172.19 7968.72 10777.72 9280.72 8273.81 13069.65 3861.99 9343.23 16960.54 7857.50 10858.57 12979.56 9481.07 5889.34 4083.97 89
UniMVSNet (Re)69.53 10471.90 8066.76 13676.42 10280.93 7872.59 14268.03 5061.75 9741.68 17758.34 9557.23 11653.27 16779.53 9580.62 7188.57 5284.90 82
Effi-MVS+-dtu71.82 7371.86 8171.78 6778.77 7780.47 9078.55 8461.67 10960.68 10355.49 10658.48 9165.48 8668.85 6176.92 13475.55 14887.35 7285.46 71
IB-MVS66.94 1271.21 7771.66 8270.68 7879.18 7582.83 6772.61 14161.77 10759.66 11163.44 6853.26 14359.65 10259.16 12876.78 13782.11 5087.90 6287.33 57
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
RPSCF67.64 13371.25 8363.43 15861.86 19570.73 17067.26 16450.86 18474.20 5358.91 7967.49 6069.33 7164.10 10071.41 16968.45 18577.61 17877.17 156
EPNet_dtu68.08 12371.00 8464.67 14979.64 7268.62 17875.05 11463.30 7866.36 6745.27 16267.40 6166.84 8343.64 18575.37 14674.98 15481.15 16477.44 154
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DU-MVS69.63 9970.91 8568.13 11375.99 10579.54 9673.81 13069.20 4361.20 10143.23 16958.52 8953.50 14858.57 12979.22 9880.45 7387.97 6083.97 89
TranMVSNet+NR-MVSNet69.25 11070.81 8667.43 12177.23 9879.46 9873.48 13669.66 3760.43 10639.56 18058.82 8853.48 15055.74 15379.59 9281.21 5788.89 4882.70 110
NR-MVSNet68.79 11570.56 8766.71 13877.48 9579.54 9673.52 13569.20 4361.20 10139.76 17958.52 8950.11 17951.37 17180.26 8480.71 6788.97 4683.59 96
MS-PatchMatch70.17 9070.49 8869.79 9880.98 6677.97 11977.51 9758.95 14062.33 9155.22 10953.14 14665.90 8562.03 11079.08 10077.11 11784.08 15177.91 151
FMVSNet168.84 11470.47 8966.94 13271.35 16577.68 12274.71 11762.35 10256.93 13549.94 14050.01 17064.59 8857.07 14181.33 6680.72 6386.25 11482.00 117
ACMH+66.54 1371.36 7670.09 9072.85 6582.59 5881.13 7678.56 8368.04 4961.55 9852.52 12551.50 16454.14 14168.56 6378.85 10279.50 8386.82 9783.94 91
ACMH65.37 1470.71 8070.00 9171.54 6882.51 5982.47 6977.78 9568.13 4856.19 14746.06 15854.30 12651.20 17368.68 6280.66 7580.72 6386.07 11984.45 87
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
v670.35 8469.94 9270.83 7074.68 13080.62 8378.81 7460.16 12858.81 11658.17 8455.01 11357.31 11366.32 8477.53 12176.73 13286.82 9783.62 93
v1neww70.34 8569.93 9370.82 7174.68 13080.61 8478.80 7560.17 12558.74 11858.10 8555.00 11457.28 11466.33 8277.53 12176.74 12886.82 9783.61 94
v7new70.34 8569.93 9370.82 7174.68 13080.61 8478.80 7560.17 12558.74 11858.10 8555.00 11457.28 11466.33 8277.53 12176.74 12886.82 9783.61 94
v770.33 8769.87 9570.88 6974.79 12281.04 7779.22 6560.57 11657.70 12756.65 10154.23 13155.29 13466.95 6978.28 10877.47 10987.12 8385.05 79
MSDG71.52 7569.87 9573.44 6382.21 6179.35 9979.52 6264.59 7166.15 6861.87 6953.21 14556.09 12965.85 9578.94 10178.50 9086.60 11076.85 161
v870.23 8869.86 9770.67 7974.69 12979.82 9578.79 7759.18 13858.80 11758.20 8355.00 11457.33 11166.31 8577.51 12476.71 13686.82 9783.88 92
CDS-MVSNet67.65 13269.83 9865.09 14475.39 11076.55 14074.42 12163.75 7553.55 16749.37 14359.41 8562.45 9444.44 18379.71 9079.82 7683.17 15777.36 155
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v1070.22 8969.76 9970.74 7574.79 12280.30 9379.22 6559.81 13257.71 12656.58 10254.22 13355.31 13266.95 6978.28 10877.47 10987.12 8385.07 78
V4268.76 11669.63 10067.74 11664.93 18978.01 11378.30 9056.48 16258.65 12056.30 10354.26 12957.03 11764.85 9877.47 12677.01 11885.60 13784.96 81
CostFormer68.92 11369.58 10168.15 11275.98 10776.17 14778.22 9351.86 17965.80 7161.56 7163.57 7162.83 9361.85 11370.40 18368.67 18179.42 17279.62 141
v1870.10 9169.52 10270.77 7474.66 13377.06 13078.84 7258.84 14760.01 10959.23 7755.06 11257.47 10966.34 8177.50 12576.75 12686.71 10482.77 108
Fast-Effi-MVS+-dtu68.34 11869.47 10367.01 13175.15 11177.97 11977.12 10155.40 16657.87 12146.68 15556.17 10760.39 9862.36 10876.32 14176.25 14285.35 14181.34 123
v1670.07 9269.46 10470.79 7374.74 12877.08 12978.79 7758.86 14259.75 11059.15 7854.87 11857.33 11166.38 7977.61 11976.77 12186.81 10282.79 106
v2v48270.05 9369.46 10470.74 7574.62 13480.32 9279.00 6860.62 11557.41 12856.89 9455.43 11155.14 13566.39 7877.25 13077.14 11686.90 9083.57 99
v169.97 9569.45 10670.59 8174.78 12480.51 8778.84 7260.30 12056.98 13156.81 9654.69 12156.29 12465.91 9477.37 12876.71 13686.89 9283.59 96
v114169.96 9769.44 10770.58 8374.78 12480.50 8878.85 7060.30 12056.95 13356.74 9854.68 12256.26 12665.93 9277.38 12776.72 13386.88 9383.57 99
divwei89l23v2f11269.97 9569.44 10770.58 8374.78 12480.50 8878.85 7060.30 12056.97 13256.75 9754.67 12356.27 12565.92 9377.37 12876.72 13386.88 9383.58 98
v1770.03 9469.43 10970.72 7774.75 12777.09 12878.78 7958.85 14459.53 11358.72 8154.87 11857.39 11066.38 7977.60 12076.75 12686.83 9682.80 104
v114469.93 9869.36 11070.61 8074.89 11580.93 7879.11 6760.64 11455.97 15055.31 10853.85 13854.14 14166.54 7678.10 11077.44 11187.14 7985.09 77
CHOSEN 1792x268869.20 11169.26 11169.13 10376.86 10078.93 10177.27 10060.12 12961.86 9554.42 11042.54 18961.61 9666.91 7278.55 10578.14 9879.23 17483.23 101
GA-MVS68.14 12069.17 11266.93 13373.77 14378.50 11074.45 11858.28 15355.11 15748.44 14560.08 8053.99 14461.50 11678.43 10677.57 10785.13 14280.54 130
PMMVS65.06 15269.17 11260.26 17055.25 21263.43 19566.71 16943.01 21062.41 9050.64 13469.44 5067.04 8263.29 10474.36 15273.54 15982.68 15873.99 178
HyFIR lowres test69.47 10768.94 11470.09 9576.77 10182.93 6676.63 10460.17 12559.00 11554.03 11340.54 19565.23 8767.89 6576.54 14078.30 9485.03 14480.07 136
v1569.61 10068.88 11570.46 8574.81 12177.03 13378.75 8058.83 14857.06 13057.18 9054.55 12456.37 12066.13 8977.70 11676.76 12387.03 8782.69 111
V1469.59 10168.86 11670.45 8774.83 12077.04 13178.70 8158.83 14856.95 13357.08 9254.41 12556.34 12166.15 8677.77 11576.76 12387.08 8582.74 109
v119269.50 10668.83 11770.29 9174.49 13580.92 8078.55 8460.54 11755.04 15854.21 11152.79 15352.33 16566.92 7177.88 11377.35 11487.04 8685.51 69
V969.58 10268.83 11770.46 8574.85 11977.04 13178.65 8258.85 14456.83 13657.12 9154.26 12956.31 12266.14 8877.83 11476.76 12387.13 8082.79 106
v1269.54 10368.79 11970.41 8874.88 11677.03 13378.54 8758.85 14456.71 13756.87 9554.13 13456.23 12766.15 8677.89 11276.74 12887.17 7582.80 104
Baseline_NR-MVSNet67.53 13668.77 12066.09 14075.99 10574.75 15772.43 14368.41 4661.33 10038.33 18351.31 16554.13 14356.03 14979.22 9878.19 9685.37 14082.45 112
v1369.52 10568.76 12170.41 8874.88 11677.02 13578.52 8858.86 14256.61 14256.91 9354.00 13656.17 12866.11 9077.93 11176.74 12887.21 7482.83 103
conf200view1168.11 12168.72 12267.39 12377.83 8778.93 10174.28 12362.81 8456.64 13946.70 15452.65 15553.47 15156.59 14480.41 7678.43 9186.11 11680.53 131
tfpn200view968.11 12168.72 12267.40 12277.83 8778.93 10174.28 12362.81 8456.64 13946.82 15252.65 15553.47 15156.59 14480.41 7678.43 9186.11 11680.52 132
v14419269.34 10968.68 12470.12 9474.06 13980.54 8678.08 9460.54 11754.99 16054.13 11252.92 15052.80 16166.73 7477.13 13276.72 13387.15 7685.63 65
v1169.37 10868.65 12570.20 9274.87 11876.97 13678.29 9158.55 15256.38 14456.04 10454.02 13554.98 13666.47 7778.30 10776.91 11986.97 8883.02 102
thres40067.95 12568.62 12667.17 12777.90 8278.59 10974.27 12562.72 8856.34 14645.77 16053.00 14853.35 15556.46 14680.21 8578.43 9185.91 13080.43 133
thres20067.98 12468.55 12767.30 12577.89 8478.86 10474.18 12762.75 8656.35 14546.48 15652.98 14953.54 14756.46 14680.41 7677.97 9986.05 12179.78 140
thres600view767.68 13068.43 12866.80 13477.90 8278.86 10473.84 12962.75 8656.07 14844.70 16652.85 15252.81 16055.58 15480.41 7677.77 10286.05 12180.28 134
view60067.63 13468.36 12966.77 13577.84 8678.66 10773.74 13262.62 9556.04 14944.98 16352.86 15152.83 15955.48 15780.36 8177.75 10385.95 12980.02 137
v192192069.03 11268.32 13069.86 9774.03 14080.37 9177.55 9660.25 12454.62 16153.59 11752.36 16051.50 17266.75 7377.17 13176.69 13886.96 8985.56 66
IterMVS66.36 14368.30 13164.10 15169.48 17574.61 15873.41 13750.79 18557.30 12948.28 14660.64 7759.92 10160.85 12274.14 15372.66 16381.80 16178.82 147
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
view80067.35 13868.22 13266.35 13977.83 8778.62 10872.97 14062.58 9655.71 15144.13 16752.69 15452.24 16854.58 16280.27 8378.19 9686.01 12479.79 139
thres100view90067.60 13568.02 13367.12 12977.83 8777.75 12173.90 12862.52 9856.64 13946.82 15252.65 15553.47 15155.92 15078.77 10377.62 10685.72 13579.23 144
anonymousdsp65.28 14867.98 13462.13 16158.73 20373.98 16167.10 16650.69 18648.41 18947.66 15154.27 12752.75 16261.45 11776.71 13880.20 7587.13 8089.53 45
USDC67.36 13767.90 13566.74 13771.72 15875.23 15371.58 14960.28 12367.45 6550.54 13660.93 7645.20 19562.08 10976.56 13974.50 15584.25 15075.38 170
v124068.64 11767.89 13669.51 10173.89 14280.26 9476.73 10359.97 13153.43 16853.08 12051.82 16350.84 17566.62 7576.79 13676.77 12186.78 10385.34 73
v14867.85 12767.53 13768.23 11173.25 14677.57 12574.26 12657.36 15855.70 15257.45 8953.53 13955.42 13161.96 11175.23 14773.92 15785.08 14381.32 124
GG-mvs-BLEND46.86 20767.51 13822.75 2200.05 22776.21 14664.69 1780.04 22561.90 940.09 23055.57 10971.32 620.08 22570.54 17967.19 18971.58 20069.86 186
pm-mvs165.62 14667.42 13963.53 15773.66 14476.39 14469.66 15460.87 11349.73 18643.97 16851.24 16657.00 11848.16 17679.89 8877.84 10184.85 14879.82 138
WR-MVS63.03 16167.40 14057.92 18075.14 11277.60 12460.56 19166.10 6054.11 16623.88 20253.94 13753.58 14634.50 19873.93 15477.71 10487.35 7280.94 126
pmmvs467.89 12667.39 14168.48 11071.60 16273.57 16274.45 11860.98 11164.65 7857.97 8754.95 11751.73 17061.88 11273.78 15575.11 15283.99 15377.91 151
tfpn66.58 14267.18 14265.88 14177.82 9178.45 11172.07 14562.52 9855.35 15443.21 17152.54 15946.12 19253.68 16380.02 8778.23 9585.99 12779.55 142
tpmp4_e2368.32 11967.08 14369.76 9977.86 8575.22 15478.37 8956.17 16566.06 7064.27 6457.15 10354.89 13763.40 10370.97 17668.29 18678.46 17677.00 160
v7n67.05 14166.94 14467.17 12772.35 15378.97 10073.26 13958.88 14151.16 17950.90 13248.21 17550.11 17960.96 11877.70 11677.38 11286.68 10885.05 79
EG-PatchMatch MVS67.24 13966.94 14467.60 11978.73 7881.35 7373.28 13859.49 13446.89 19451.42 13043.65 18653.49 14955.50 15681.38 6580.66 6987.15 7681.17 125
conf0.05thres100066.26 14466.77 14665.66 14277.45 9678.10 11271.85 14862.44 10151.47 17843.00 17247.92 17751.66 17153.40 16579.71 9077.97 9985.82 13180.56 129
COLMAP_ROBcopyleft62.73 1567.66 13166.76 14768.70 10880.49 7077.98 11775.29 10862.95 8363.62 8449.96 13947.32 18250.72 17658.57 12976.87 13575.50 14984.94 14675.33 171
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PatchMatch-RL67.78 12966.65 14869.10 10473.01 14772.69 16468.49 16061.85 10662.93 8960.20 7656.83 10550.42 17769.52 5875.62 14574.46 15681.51 16273.62 180
v5265.23 14966.24 14964.06 15261.94 19376.42 14272.06 14654.30 16849.94 18350.04 13847.41 18052.42 16360.23 12575.71 14376.22 14385.78 13285.56 66
V465.23 14966.23 15064.06 15261.94 19376.42 14272.05 14754.31 16749.91 18550.06 13747.42 17952.40 16460.24 12475.71 14376.22 14385.78 13285.56 66
DWT-MVSNet_training67.24 13965.96 15168.74 10676.15 10374.36 16074.37 12256.66 16161.82 9660.51 7358.23 9749.76 18165.07 9670.04 18470.39 17179.70 17177.11 158
CVMVSNet62.55 16565.89 15258.64 17866.95 18169.15 17566.49 17256.29 16452.46 17232.70 19159.27 8658.21 10750.09 17371.77 16871.39 16879.31 17378.99 146
WR-MVS_H61.83 17665.87 15357.12 18371.72 15876.87 13761.45 18966.19 5851.97 17522.92 20953.13 14752.30 16733.80 19971.03 17475.00 15386.65 10980.78 127
PEN-MVS62.96 16265.77 15459.70 17373.98 14175.45 15063.39 18467.61 5352.49 17125.49 20153.39 14049.12 18440.85 19171.94 16777.26 11586.86 9580.72 128
TransMVSNet (Re)64.74 15465.66 15563.66 15677.40 9775.33 15269.86 15362.67 9447.63 19241.21 17850.01 17052.33 16545.31 18279.57 9377.69 10585.49 13877.07 159
CR-MVSNet64.83 15365.54 15664.01 15470.64 16769.41 17365.97 17352.74 17457.81 12352.65 12254.27 12756.31 12260.92 11972.20 16573.09 16181.12 16575.69 167
CP-MVSNet62.68 16465.49 15759.40 17671.84 15675.34 15162.87 18667.04 5652.64 17027.19 19953.38 14148.15 18641.40 18971.26 17075.68 14686.07 11982.00 117
v74865.12 15165.24 15864.98 14669.77 17176.45 14169.47 15657.06 16049.93 18450.70 13347.87 17849.50 18357.14 14073.64 15775.18 15185.75 13484.14 88
MDTV_nov1_ep1364.37 15665.24 15863.37 15968.94 17770.81 16972.40 14450.29 18860.10 10853.91 11560.07 8159.15 10457.21 13969.43 18767.30 18877.47 17969.78 187
FC-MVSNet-test56.90 19065.20 16047.21 20266.98 18063.20 19749.11 20958.60 15159.38 11411.50 22265.60 6556.68 11924.66 21371.17 17271.36 16972.38 19869.02 189
PS-CasMVS62.38 17065.06 16159.25 17771.73 15775.21 15562.77 18766.99 5751.94 17626.96 20052.00 16247.52 18941.06 19071.16 17375.60 14785.97 12881.97 119
gg-mvs-nofinetune62.55 16565.05 16259.62 17478.72 7977.61 12370.83 15253.63 16939.71 20622.04 21136.36 19964.32 8947.53 17781.16 7079.03 8785.00 14577.17 156
TDRefinement66.09 14565.03 16367.31 12469.73 17276.75 13875.33 10664.55 7260.28 10749.72 14245.63 18442.83 19860.46 12375.75 14275.95 14584.08 15178.04 150
DTE-MVSNet61.85 17464.96 16458.22 17974.32 13674.39 15961.01 19067.85 5251.76 17721.91 21253.28 14248.17 18537.74 19472.22 16476.44 13986.52 11378.49 148
PatchmatchNetpermissive64.21 15864.65 16563.69 15571.29 16668.66 17769.63 15551.70 18163.04 8753.77 11659.83 8458.34 10660.23 12568.54 19066.06 19375.56 18768.08 191
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
test-mter60.84 18064.62 16656.42 18555.99 21064.18 19065.39 17534.23 21854.39 16446.21 15757.40 10259.49 10355.86 15171.02 17569.65 17480.87 16776.20 163
test-LLR64.42 15564.36 16764.49 15075.02 11363.93 19266.61 17061.96 10454.41 16247.77 14857.46 10060.25 9955.20 15870.80 17769.33 17680.40 16874.38 175
TESTMET0.1,161.10 17964.36 16757.29 18257.53 20563.93 19266.61 17036.22 21654.41 16247.77 14857.46 10060.25 9955.20 15870.80 17769.33 17680.40 16874.38 175
pmmvs562.37 17164.04 16960.42 16865.03 18771.67 16867.17 16552.70 17650.30 18044.80 16454.23 13151.19 17449.37 17472.88 15973.48 16083.45 15474.55 174
PatchT61.97 17364.04 16959.55 17560.49 19767.40 18156.54 19848.65 19356.69 13852.65 12251.10 16752.14 16960.92 11972.20 16573.09 16178.03 17775.69 167
tpm cat165.41 14763.81 17167.28 12675.61 10972.88 16375.32 10752.85 17362.97 8863.66 6753.24 14453.29 15761.83 11465.54 19564.14 19874.43 19274.60 173
tfpnnormal64.27 15763.64 17265.02 14575.84 10875.61 14971.24 15162.52 9847.79 19142.97 17342.65 18844.49 19652.66 16978.77 10376.86 12084.88 14779.29 143
tpm62.41 16863.15 17361.55 16472.24 15463.79 19471.31 15046.12 20157.82 12255.33 10759.90 8354.74 13853.63 16467.24 19364.29 19670.65 20374.25 177
dps64.00 15962.99 17465.18 14373.29 14572.07 16668.98 15953.07 17257.74 12558.41 8255.55 11047.74 18860.89 12169.53 18667.14 19076.44 18471.19 184
pmmvs662.41 16862.88 17561.87 16271.38 16475.18 15667.76 16359.45 13641.64 20242.52 17637.33 19752.91 15846.87 17877.67 11876.26 14183.23 15679.18 145
RPMNet61.71 17862.88 17560.34 16969.51 17469.41 17363.48 18349.23 18957.81 12345.64 16150.51 16850.12 17853.13 16868.17 19268.49 18481.07 16675.62 169
TAMVS59.58 18462.81 17755.81 18766.03 18565.64 18963.86 18248.74 19249.95 18237.07 18754.77 12058.54 10544.44 18372.29 16271.79 16574.70 19166.66 193
LTVRE_ROB59.44 1661.82 17762.64 17860.87 16772.83 15277.19 12664.37 18058.97 13933.56 21528.00 19852.59 15842.21 19963.93 10174.52 15076.28 14077.15 18182.13 113
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
CMPMVSbinary47.78 1762.49 16762.52 17962.46 16070.01 17070.66 17162.97 18551.84 18051.98 17456.71 10042.87 18753.62 14557.80 13472.23 16370.37 17275.45 18975.91 164
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
SixPastTwentyTwo61.84 17562.45 18061.12 16669.20 17672.20 16562.03 18857.40 15746.54 19538.03 18557.14 10441.72 20058.12 13369.67 18571.58 16781.94 16078.30 149
pmmvs-eth3d63.52 16062.44 18164.77 14866.82 18370.12 17269.41 15759.48 13554.34 16552.71 12146.24 18344.35 19756.93 14272.37 16073.77 15883.30 15575.91 164
tpmrst62.00 17262.35 18261.58 16371.62 16164.14 19169.07 15848.22 19762.21 9253.93 11458.26 9655.30 13355.81 15263.22 20062.62 20170.85 20270.70 185
EPMVS60.00 18361.97 18357.71 18168.46 17863.17 19864.54 17948.23 19663.30 8544.72 16560.19 7956.05 13050.85 17265.27 19762.02 20369.44 20563.81 198
CHOSEN 280x42058.70 18661.88 18454.98 19055.45 21150.55 21564.92 17740.36 21255.21 15538.13 18448.31 17463.76 9063.03 10673.73 15668.58 18368.00 20873.04 181
test0.0.03 158.80 18561.58 18555.56 18875.02 11368.45 17959.58 19561.96 10452.74 16929.57 19449.75 17354.56 13931.46 20171.19 17169.77 17375.75 18564.57 196
MIMVSNet58.52 18761.34 18655.22 18960.76 19667.01 18366.81 16749.02 19156.43 14338.90 18240.59 19454.54 14040.57 19273.16 15871.65 16675.30 19066.00 194
TinyColmap62.84 16361.03 18764.96 14769.61 17371.69 16768.48 16159.76 13355.41 15347.69 15047.33 18134.20 20862.76 10774.52 15072.59 16481.44 16371.47 183
PM-MVS60.48 18160.94 18859.94 17158.85 20266.83 18464.27 18151.39 18255.03 15948.03 14750.00 17240.79 20258.26 13269.20 18867.13 19178.84 17577.60 153
MDTV_nov1_ep13_2view60.16 18260.51 18959.75 17265.39 18669.05 17668.00 16248.29 19551.99 17345.95 15948.01 17649.64 18253.39 16668.83 18966.52 19277.47 17969.55 188
FMVSNet557.24 18860.02 19053.99 19356.45 20762.74 19965.27 17647.03 19855.14 15639.55 18140.88 19253.42 15441.83 18672.35 16171.10 17073.79 19464.50 197
EU-MVSNet54.63 19358.69 19149.90 20056.99 20662.70 20056.41 19950.64 18745.95 19723.14 20650.42 16946.51 19136.63 19565.51 19664.85 19575.57 18674.91 172
ADS-MVSNet55.94 19258.01 19253.54 19662.48 19258.48 20459.12 19646.20 20059.65 11242.88 17452.34 16153.31 15646.31 18062.00 20460.02 20864.23 21460.24 206
testgi54.39 19557.86 19350.35 19971.59 16367.24 18254.95 20153.25 17143.36 19923.78 20344.64 18547.87 18724.96 21070.45 18068.66 18273.60 19562.78 201
Anonymous2023120656.36 19157.80 19454.67 19170.08 16966.39 18660.46 19257.54 15549.50 18829.30 19533.86 20546.64 19035.18 19770.44 18168.88 18075.47 18868.88 190
gm-plane-assit57.00 18957.62 19556.28 18676.10 10462.43 20247.62 21146.57 19933.84 21423.24 20537.52 19640.19 20359.61 12779.81 8977.55 10884.55 14972.03 182
test20.0353.93 19656.28 19651.19 19872.19 15565.83 18753.20 20361.08 11042.74 20022.08 21037.07 19845.76 19424.29 21470.44 18169.04 17874.31 19363.05 200
LP53.62 19753.43 19753.83 19458.51 20462.59 20157.31 19746.04 20247.86 19042.69 17536.08 20136.86 20646.53 17964.38 19864.25 19771.92 19962.00 203
ambc53.42 19864.99 18863.36 19649.96 20747.07 19337.12 18628.97 20916.36 22441.82 18775.10 14967.34 18771.55 20175.72 166
MIMVSNet149.27 20153.25 19944.62 20644.61 21761.52 20353.61 20252.18 17741.62 20318.68 21428.14 21341.58 20125.50 20868.46 19169.04 17873.15 19662.37 202
MDA-MVSNet-bldmvs53.37 19853.01 20053.79 19543.67 22067.95 18059.69 19457.92 15443.69 19832.41 19241.47 19027.89 21852.38 17056.97 21465.99 19476.68 18267.13 192
MVS-HIRNet54.41 19452.10 20157.11 18458.99 20156.10 20749.68 20849.10 19046.18 19652.15 12633.18 20646.11 19356.10 14863.19 20159.70 20976.64 18360.25 205
Anonymous2023121151.46 20050.59 20252.46 19767.30 17966.70 18555.00 20059.22 13729.96 21717.62 21719.11 21928.74 21735.72 19666.42 19469.52 17579.92 17073.71 179
N_pmnet47.35 20450.13 20344.11 20759.98 19851.64 21351.86 20444.80 20649.58 18720.76 21340.65 19340.05 20429.64 20359.84 21055.15 21357.63 21654.00 214
FPMVS51.87 19950.00 20454.07 19266.83 18257.25 20560.25 19350.91 18350.25 18134.36 18936.04 20232.02 21041.49 18858.98 21256.07 21270.56 20459.36 207
new-patchmatchnet46.97 20649.47 20544.05 20862.82 19156.55 20645.35 21252.01 17842.47 20117.04 21835.73 20335.21 20721.84 21961.27 20554.83 21465.26 21360.26 204
pmmvs347.65 20249.08 20645.99 20444.61 21754.79 21050.04 20631.95 22133.91 21329.90 19330.37 20733.53 20946.31 18063.50 19963.67 19973.14 19763.77 199
testus45.61 20949.06 20741.59 21056.13 20955.28 20843.51 21339.64 21437.74 20818.23 21535.52 20431.28 21124.69 21262.46 20362.90 20067.33 20958.26 209
test235647.20 20548.62 20845.54 20556.38 20854.89 20950.62 20545.08 20538.65 20723.40 20436.23 20031.10 21229.31 20462.76 20262.49 20268.48 20754.23 213
testpf47.41 20348.47 20946.18 20366.30 18450.67 21448.15 21042.60 21137.10 21028.75 19640.97 19139.01 20530.82 20252.95 21753.74 21660.46 21564.87 195
testmv42.58 21144.36 21040.49 21154.63 21352.76 21141.21 21744.37 20728.83 21812.87 21927.16 21425.03 21923.01 21560.83 20661.13 20466.88 21054.81 211
test123567842.57 21244.36 21040.49 21154.63 21352.75 21241.21 21744.37 20728.82 21912.87 21927.15 21525.01 22023.01 21560.83 20661.13 20466.88 21054.81 211
111143.08 21044.02 21241.98 20959.22 19949.27 21741.48 21545.63 20335.01 21123.06 20728.60 21130.15 21427.22 20560.42 20857.97 21055.27 21946.74 216
PMVScopyleft39.38 1846.06 20843.30 21349.28 20162.93 19038.75 22141.88 21453.50 17033.33 21635.46 18828.90 21031.01 21333.04 20058.61 21354.63 21568.86 20657.88 210
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
new_pmnet38.40 21342.64 21433.44 21537.54 22345.00 21936.60 21932.72 22040.27 20412.72 22129.89 20828.90 21624.78 21153.17 21652.90 21756.31 21748.34 215
test1235635.10 21638.50 21531.13 21744.14 21943.70 22032.27 22034.42 21726.51 2219.47 22325.22 21720.34 22110.86 22253.47 21556.15 21155.59 21844.11 217
no-one36.35 21537.59 21634.91 21446.13 21549.89 21627.99 22243.56 20920.91 2237.03 22514.64 22115.50 22518.92 22042.95 21860.20 20765.84 21259.03 208
Gipumacopyleft36.38 21435.80 21737.07 21345.76 21633.90 22229.81 22148.47 19439.91 20518.02 2168.00 2258.14 22725.14 20959.29 21161.02 20655.19 22040.31 218
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMMVS225.60 21829.75 21820.76 22128.00 22430.93 22323.10 22329.18 22223.14 2221.46 22918.23 22016.54 2235.08 22340.22 21941.40 21937.76 22137.79 220
.test124530.81 21729.14 21932.77 21659.22 19949.27 21741.48 21545.63 20335.01 21123.06 20728.60 21130.15 21427.22 20560.42 2080.10 2230.01 2270.43 225
MVEpermissive19.12 1920.47 22123.27 22017.20 22212.66 22625.41 22410.52 22734.14 21914.79 2266.53 2288.79 2244.68 22816.64 22129.49 22141.63 21822.73 22538.11 219
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN21.77 21918.24 22125.89 21840.22 22119.58 22512.46 22639.87 21318.68 2256.71 2269.57 2224.31 23022.36 21819.89 22327.28 22133.73 22228.34 222
EMVS20.98 22017.15 22225.44 21939.51 22219.37 22612.66 22539.59 21519.10 2246.62 2279.27 2234.40 22922.43 21717.99 22424.40 22231.81 22325.53 223
testmvs0.09 2220.15 2230.02 2240.01 2280.02 2290.05 2300.01 2260.11 2270.01 2310.26 2270.01 2310.06 2270.10 2250.10 2230.01 2270.43 225
test1230.09 2220.14 2240.02 2240.00 2290.02 2290.02 2310.01 2260.09 2280.00 2320.30 2260.00 2320.08 2250.03 2260.09 2250.01 2270.45 224
ESAPD0.00 2240.00 2250.00 2260.00 2290.00 2310.00 2320.00 2280.00 2290.00 2320.00 2280.00 2320.00 2280.00 2270.00 2260.00 2300.00 227
sosnet-low-res0.00 2240.00 2250.00 2260.00 2290.00 2310.00 2320.00 2280.00 2290.00 2320.00 2280.00 2320.00 2280.00 2270.00 2260.00 2300.00 227
sosnet0.00 2240.00 2250.00 2260.00 2290.00 2310.00 2320.00 2280.00 2290.00 2320.00 2280.00 2320.00 2280.00 2270.00 2260.00 2300.00 227
MTAPA83.48 186.45 11
MTMP82.66 384.91 19
Patchmatch-RL test2.85 229
tmp_tt14.50 22314.68 2257.17 22810.46 2282.21 22437.73 20928.71 19725.26 21616.98 2224.37 22431.49 22029.77 22026.56 224
XVS86.63 3888.68 2285.00 4071.81 3981.92 2990.47 16
X-MVStestdata86.63 3888.68 2285.00 4071.81 3981.92 2990.47 16
abl_679.05 3687.27 3488.85 2083.62 4868.25 4781.68 3472.94 3373.79 3984.45 2172.55 4189.66 3690.64 37
mPP-MVS89.90 1981.29 34
NP-MVS80.10 39
Patchmtry65.80 18865.97 17352.74 17452.65 122
DeepMVS_CXcopyleft18.74 22718.55 2248.02 22326.96 2207.33 22423.81 21813.05 22625.99 20725.17 22222.45 22636.25 221