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 bysorted bysort bysort bysort bysort bysort bysort bysort by
APDe-MVS86.37 388.41 484.00 491.43 991.83 1088.34 274.67 591.19 481.76 191.13 381.94 1280.07 583.38 2282.58 2987.69 3696.78 7
ESAPD87.78 190.56 184.53 192.88 293.82 188.95 176.05 492.95 380.32 293.12 286.87 180.88 485.54 1084.01 1888.09 3297.62 2
SD-MVS84.31 1086.96 1081.22 1188.98 2688.68 3285.65 1173.85 1089.09 979.63 387.34 884.84 373.71 2882.66 2881.60 3885.48 10594.51 24
TSAR-MVS + MP.84.39 986.58 1281.83 988.09 3486.47 5385.63 1273.62 1290.13 879.24 489.67 682.99 777.72 1181.22 4480.92 4986.68 5694.66 23
MSLP-MVS++78.57 3377.33 4480.02 1788.39 2984.79 6584.62 1766.17 4975.96 4778.40 561.59 5171.47 3973.54 3078.43 6478.88 5988.97 1290.18 67
MTAPA78.32 679.42 18
APD-MVScopyleft84.83 887.00 882.30 889.61 2089.21 2986.51 773.64 1190.98 577.99 789.89 580.04 1779.18 782.00 3881.37 4186.88 5395.49 16
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HFP-MVS82.48 1784.12 1980.56 1490.15 1387.55 4584.28 1869.67 2985.22 1977.95 884.69 1275.94 2475.04 2181.85 3981.17 4486.30 6292.40 44
zzz-MVS81.65 2083.10 2279.97 1888.14 3387.62 4483.96 2169.90 2686.92 1377.67 972.47 3178.74 1974.13 2781.59 4281.15 4586.01 7393.19 37
CSCG82.90 1584.52 1881.02 1391.85 693.43 287.14 574.01 981.96 2876.14 1070.84 3282.49 869.71 5082.32 3485.18 1187.26 4595.40 18
MTMP76.04 1176.65 23
CNVR-MVS85.96 487.58 784.06 392.58 492.40 687.62 477.77 288.44 1075.93 1279.49 2181.97 1181.65 387.04 586.58 388.79 1497.18 4
HPM-MVS++copyleft85.64 688.43 382.39 792.65 390.24 2185.83 1074.21 690.68 675.63 1386.77 984.15 478.68 986.33 685.26 987.32 4395.60 14
HSP-MVS86.82 289.95 283.16 589.38 2291.60 1285.63 1274.15 794.20 175.52 1494.99 183.21 685.96 187.67 385.88 688.32 2492.13 46
TSAR-MVS + GP.82.27 1885.98 1477.94 2880.72 6688.25 3881.12 3867.71 4087.10 1273.31 1585.23 1183.68 576.64 1580.43 5181.47 4088.15 3095.66 13
ACMMP_Plus83.54 1286.37 1380.25 1689.57 2190.10 2385.27 1571.66 1887.38 1173.08 1684.23 1380.16 1575.31 1984.85 1483.64 2186.57 5794.21 29
NCCC84.16 1185.46 1682.64 692.34 590.57 1886.57 676.51 386.85 1572.91 1777.20 2778.69 2079.09 884.64 1684.88 1488.44 2295.41 17
SMA-MVS84.91 787.95 581.36 1091.75 790.84 1586.35 873.36 1390.22 772.81 1880.70 1885.67 276.69 1486.06 886.14 587.20 4996.05 10
3Dnovator70.49 578.42 3476.77 4980.35 1591.43 990.27 2081.84 3170.79 2172.10 5171.95 1950.02 8367.86 5177.47 1282.89 2584.24 1688.61 1889.99 68
abl_679.06 2489.68 1992.14 877.70 5469.68 2886.87 1471.88 2074.29 3080.06 1676.56 1688.84 1395.82 11
3Dnovator+70.16 677.87 3777.29 4578.55 2589.25 2488.32 3780.09 4367.95 3974.89 5071.83 2152.05 7670.68 4276.27 1882.27 3582.04 3185.92 7990.77 60
AdaColmapbinary76.23 4773.55 6179.35 2089.38 2285.00 6479.99 4573.04 1576.60 4671.17 2255.18 6457.99 8477.87 1076.82 7576.82 7384.67 13386.45 110
DeepC-MVS_fast75.41 281.69 1982.10 2881.20 1291.04 1187.81 4383.42 2274.04 883.77 2271.09 2366.88 4072.44 3279.48 685.08 1284.97 1388.12 3193.78 32
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS74.46 380.30 2581.05 3179.42 1987.42 3688.50 3483.23 2373.27 1482.78 2571.01 2462.86 4869.93 4674.80 2384.30 1784.20 1786.79 5594.77 21
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MCST-MVS85.75 586.99 984.31 294.07 192.80 388.15 379.10 185.66 1870.72 2576.50 2880.45 1482.17 288.35 187.49 291.63 297.65 1
PVSNet_BlendedMVS76.84 4578.47 3874.95 4682.37 5289.90 2575.45 6765.45 5474.99 4870.66 2663.07 4658.27 8267.60 6584.24 1881.70 3688.18 2897.10 5
PVSNet_Blended76.84 4578.47 3874.95 4682.37 5289.90 2575.45 6765.45 5474.99 4870.66 2663.07 4658.27 8267.60 6584.24 1881.70 3688.18 2897.10 5
CANet80.90 2382.93 2478.53 2686.83 4092.26 781.19 3766.95 4381.60 3169.90 2866.93 3974.80 2676.79 1384.68 1584.77 1589.50 895.50 15
MP-MVScopyleft80.94 2283.49 2177.96 2788.48 2788.16 3982.82 2769.34 3180.79 3469.67 2982.35 1577.13 2271.60 4180.97 4880.96 4885.87 8694.06 30
CLD-MVS77.36 4277.29 4577.45 3282.21 5488.11 4081.92 3068.96 3477.97 4269.62 3062.08 4959.44 7673.57 2981.75 4081.27 4388.41 2390.39 64
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
DELS-MVS79.49 2679.84 3579.08 2388.26 3292.49 484.12 2070.63 2265.27 7169.60 3161.29 5366.50 5372.75 3388.07 288.03 189.13 1197.22 3
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
ACMMPR80.62 2482.98 2377.87 2988.41 2887.05 4783.02 2469.18 3283.91 2168.35 3282.89 1473.64 2972.16 3780.78 4981.13 4686.10 6791.43 53
SteuartSystems-ACMMP82.51 1685.35 1779.20 2190.25 1289.39 2884.79 1670.95 2082.86 2468.32 3386.44 1077.19 2173.07 3183.63 2183.64 2187.82 3394.34 26
Skip Steuart: Steuart Systems R&D Blog.
CP-MVS79.44 2781.51 3077.02 3386.95 3885.96 5982.00 2968.44 3781.82 2967.39 3477.43 2573.68 2871.62 4079.56 5679.58 5485.73 9592.51 43
canonicalmvs77.65 3879.59 3675.39 4281.52 5889.83 2781.32 3660.74 9980.05 3666.72 3568.43 3665.09 5674.72 2578.87 6082.73 2787.32 4392.16 45
train_agg83.35 1386.93 1179.17 2289.70 1888.41 3585.60 1472.89 1686.31 1666.58 3690.48 482.24 1073.06 3283.10 2482.64 2887.21 4895.30 19
DeepPCF-MVS76.94 183.08 1487.77 677.60 3090.11 1490.96 1478.48 4972.63 1793.10 265.84 3780.67 1981.55 1374.80 2385.94 985.39 883.75 15096.77 8
TSAR-MVS + ACMM81.59 2185.84 1576.63 3489.82 1786.53 5286.32 966.72 4585.96 1765.43 3888.98 782.29 967.57 6782.06 3781.33 4283.93 14893.75 33
PGM-MVS79.42 3081.84 2976.60 3588.38 3086.69 5082.97 2665.75 5180.39 3564.94 3981.95 1772.11 3771.41 4280.45 5080.55 5286.18 6490.76 61
CNLPA71.37 6670.27 7772.66 5780.79 6581.33 9371.07 11165.75 5182.36 2664.80 4042.46 12556.49 8772.70 3473.00 12170.52 17080.84 18185.76 119
MVSTER76.92 4479.92 3473.42 5374.98 10182.97 7378.15 5063.41 6778.02 4164.41 4167.54 3772.80 3171.05 4383.29 2383.73 2088.53 2191.12 56
MVS_111021_LR74.26 5275.95 5372.27 5879.43 7085.04 6372.71 7965.27 5670.92 5563.58 4269.32 3460.31 7469.43 5377.01 7377.15 7183.22 15791.93 51
OpenMVScopyleft67.62 874.92 5173.91 5976.09 3990.10 1590.38 1978.01 5166.35 4766.09 6662.80 4346.33 10864.55 5971.77 3979.92 5480.88 5087.52 3989.20 75
ACMMPcopyleft77.61 3979.59 3675.30 4485.87 4385.58 6081.42 3467.38 4279.38 3962.61 4478.53 2265.79 5568.80 5878.56 6378.50 6385.75 9190.80 59
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
IB-MVS64.48 1169.02 7568.97 8369.09 7381.75 5789.01 3064.50 15164.91 5756.65 9162.59 4547.89 9245.23 12251.99 15269.18 17381.88 3488.77 1592.93 39
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
MVS_111021_HR77.42 4178.40 4076.28 3686.95 3890.68 1677.41 5670.56 2566.21 6562.48 4666.17 4263.98 6072.08 3882.87 2683.15 2488.24 2795.71 12
OMC-MVS74.03 5375.82 5471.95 6079.56 6880.98 9775.35 6963.21 6884.48 2061.83 4761.54 5266.89 5269.41 5476.60 7774.07 12482.34 17086.15 114
MVS_030479.43 2882.20 2676.20 3784.22 4791.79 1181.82 3263.81 6476.83 4561.71 4866.37 4175.52 2576.38 1785.54 1085.03 1289.28 1094.32 27
CPTT-MVS75.43 4977.13 4773.44 5281.43 5982.55 7780.96 4064.35 5977.95 4361.39 4969.20 3570.94 4169.38 5573.89 10973.32 13583.14 16192.06 48
EPNet79.28 3282.25 2575.83 4088.31 3190.14 2279.43 4768.07 3881.76 3061.26 5077.26 2670.08 4570.06 4882.43 3282.00 3387.82 3392.09 47
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
tpm cat167.47 8467.05 9667.98 7976.63 9081.51 9174.49 7547.65 19561.18 7861.12 5142.51 12453.02 10464.74 7770.11 16571.50 15683.22 15789.49 71
XVS82.43 5086.27 5575.70 6161.07 5272.27 3385.67 99
X-MVStestdata82.43 5086.27 5575.70 6161.07 5272.27 3385.67 99
X-MVS78.16 3680.55 3375.38 4387.99 3586.27 5581.05 3968.98 3378.33 4061.07 5275.25 2972.27 3367.52 6880.03 5380.52 5385.66 10291.20 55
ACMP68.86 772.15 6272.25 6572.03 5980.96 6280.87 9977.93 5264.13 6169.29 5960.79 5564.04 4453.54 10163.91 7973.74 11375.27 9084.45 13888.98 78
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM66.70 1070.42 6768.49 8672.67 5682.85 4977.76 13977.70 5464.76 5864.61 7260.74 5649.29 8553.97 10065.86 7174.97 9575.57 8884.13 14683.29 136
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
diffmvs73.50 5575.66 5570.97 6374.96 10386.71 4977.16 5857.42 12971.12 5460.43 5757.20 6170.40 4468.79 5976.11 8576.05 8187.10 5192.06 48
CostFormer72.18 6173.90 6070.18 6779.47 6986.19 5876.94 5948.62 19066.07 6760.40 5854.14 7065.82 5467.98 6275.84 8876.41 7787.67 3792.83 41
tpmp4_e2369.38 7269.47 8069.28 7178.20 7582.35 7975.92 6049.20 18864.15 7359.96 5947.93 9055.77 9268.06 6173.05 12074.53 10384.34 14088.50 97
PVSNet_Blended_VisFu71.76 6473.54 6269.69 6879.01 7287.16 4672.05 8361.80 8656.46 9359.66 6053.88 7262.48 6359.08 12981.17 4578.90 5886.53 5994.74 22
DI_MVS_plusplus_trai73.94 5474.85 5772.88 5576.57 9186.80 4880.41 4261.47 8962.35 7559.44 6147.91 9168.12 4872.24 3682.84 2781.50 3987.15 5094.42 25
MAR-MVS77.19 4378.37 4175.81 4189.87 1690.58 1779.33 4865.56 5377.62 4458.33 6259.24 5967.98 4974.83 2282.37 3383.12 2586.95 5287.67 102
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
DWT-MVSNet_training72.81 5873.98 5871.45 6281.26 6086.37 5472.08 8259.82 10669.13 6258.15 6354.71 6561.33 7367.81 6476.86 7478.63 6089.59 690.86 58
QAPM77.50 4077.43 4377.59 3191.52 892.00 981.41 3570.63 2266.22 6458.05 6454.70 6671.79 3874.49 2682.46 3082.04 3189.46 992.79 42
PCF-MVS70.85 475.73 4876.55 5274.78 4983.67 4888.04 4281.47 3370.62 2469.24 6157.52 6560.59 5669.18 4770.65 4577.11 7277.65 7084.75 13194.01 31
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MVS_Test75.22 5076.69 5073.51 5179.30 7188.82 3180.06 4458.74 10969.77 5857.50 6659.78 5861.35 7175.31 1982.07 3683.60 2390.13 591.41 54
CDPH-MVS79.39 3182.13 2776.19 3889.22 2588.34 3684.20 1971.00 1979.67 3856.97 6777.77 2472.24 3668.50 6081.33 4382.74 2687.23 4692.84 40
HQP-MVS78.26 3580.91 3275.17 4585.67 4484.33 6883.01 2569.38 3079.88 3755.83 6879.85 2064.90 5870.81 4482.46 3081.78 3586.30 6293.18 38
PLCcopyleft64.00 1268.54 7766.66 9770.74 6480.28 6774.88 16272.64 8063.70 6669.26 6055.71 6947.24 10055.31 9570.42 4672.05 14770.67 16881.66 17577.19 170
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
dps64.08 11063.22 12365.08 9575.27 10079.65 11966.68 14246.63 20056.94 8955.67 7043.96 11143.63 12864.00 7869.50 17269.82 17382.25 17179.02 165
MS-PatchMatch70.34 7169.00 8271.91 6185.20 4685.35 6177.84 5361.77 8758.01 8755.40 7141.26 13258.34 8161.69 9081.70 4178.29 6489.56 780.02 161
OPM-MVS72.74 5970.93 7474.85 4885.30 4584.34 6782.82 2769.79 2749.96 11555.39 7254.09 7160.14 7570.04 4980.38 5279.43 5585.74 9488.20 99
FC-MVSNet-train68.83 7668.29 8769.47 6978.35 7479.94 11564.72 15066.38 4654.96 10254.51 7356.75 6247.91 11666.91 6975.57 9275.75 8485.92 7987.12 105
PatchMatch-RL62.22 14160.69 15464.01 11568.74 13875.75 15859.27 18260.35 10156.09 9553.80 7447.06 10336.45 18064.80 7668.22 17667.22 18577.10 20174.02 181
CHOSEN 1792x268872.55 6071.98 6673.22 5486.57 4192.41 575.63 6366.77 4462.08 7652.32 7530.27 20050.74 11066.14 7086.22 785.41 791.90 196.75 9
LGP-MVS_train72.02 6373.18 6470.67 6582.13 5580.26 11479.58 4663.04 7170.09 5651.98 7665.06 4355.62 9462.49 8775.97 8776.32 7884.80 13088.93 79
UGNet67.57 8371.69 6962.76 13469.88 13182.58 7666.43 14458.64 11054.71 10551.87 7761.74 5062.01 6845.46 18074.78 9774.99 9284.24 14291.02 57
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
PHI-MVS79.43 2884.06 2074.04 5086.15 4291.57 1380.85 4168.90 3582.22 2751.81 7878.10 2374.28 2770.39 4784.01 2084.00 1986.14 6694.24 28
TAPA-MVS67.10 971.45 6573.47 6369.10 7277.04 8680.78 10073.81 7762.10 8180.80 3351.28 7960.91 5463.80 6267.98 6274.59 9872.42 14982.37 16980.97 156
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
GBi-Net69.21 7370.40 7567.81 8069.49 13378.65 12874.54 7060.97 9565.32 6851.06 8047.37 9762.05 6563.43 8177.49 6878.22 6587.37 4083.73 131
test169.21 7370.40 7567.81 8069.49 13378.65 12874.54 7060.97 9565.32 6851.06 8047.37 9762.05 6563.43 8177.49 6878.22 6587.37 4083.73 131
FMVSNet370.41 6971.89 6868.68 7570.89 12879.42 12375.63 6360.97 9565.32 6851.06 8047.37 9762.05 6564.90 7582.49 2982.27 3088.64 1784.34 127
tpmrst67.15 8768.12 9066.03 9276.21 9380.98 9771.27 10445.05 20260.69 8050.63 8346.95 10554.15 9965.30 7271.80 15071.77 15387.72 3590.48 63
Fast-Effi-MVS+67.59 8167.56 9267.62 8273.67 10881.14 9671.12 10854.79 15658.88 8350.61 8446.70 10647.05 11769.12 5676.06 8676.44 7686.43 6086.65 108
MSDG65.57 9861.57 14770.24 6682.02 5676.47 15174.46 7668.73 3656.52 9250.33 8538.47 15941.10 13962.42 8872.12 14572.94 14383.47 15373.37 186
pmmvs463.14 12562.46 13763.94 11766.03 17276.40 15266.82 14157.60 12256.74 9050.26 8640.81 13737.51 17459.26 12771.75 15171.48 15783.68 15182.53 144
FMVSNet268.06 8068.57 8567.45 8369.49 13378.65 12874.54 7060.23 10556.29 9449.64 8742.13 12857.08 8663.43 8181.15 4680.99 4787.37 4083.73 131
TSAR-MVS + COLMAP73.09 5676.86 4868.71 7474.97 10282.49 7874.51 7461.83 8583.16 2349.31 8882.22 1651.62 10768.94 5778.76 6275.52 8982.67 16584.23 128
Effi-MVS+70.42 6771.23 7269.47 6978.04 7685.24 6275.57 6558.88 10859.56 8248.47 8952.73 7554.94 9669.69 5178.34 6677.06 7286.18 6490.73 62
IterMVS-LS66.08 9466.56 9965.51 9373.67 10874.88 16270.89 11453.55 16450.42 11348.32 9050.59 8155.66 9361.83 8973.93 10874.42 11084.82 12986.01 116
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EPMVS66.21 9267.49 9364.73 10175.81 9684.20 7068.94 12844.37 20661.55 7748.07 9149.21 8754.87 9762.88 8471.82 14971.40 16088.28 2679.37 164
HyFIR lowres test68.39 7868.28 8868.52 7680.85 6388.11 4071.08 11058.09 11454.87 10447.80 9227.55 20555.80 9164.97 7479.11 5879.14 5788.31 2593.35 34
v1863.31 12462.02 14264.81 10068.48 14073.38 17172.14 8154.28 15948.99 12747.21 9339.56 14441.20 13660.80 10172.89 12574.46 10985.96 7883.64 134
v1663.12 12661.78 14464.68 10268.45 14173.29 17271.86 8554.12 16048.36 12947.00 9439.30 14941.01 14060.67 10272.83 13174.40 11186.01 7383.24 138
PMMVS70.37 7075.06 5664.90 9671.46 12281.88 8264.10 15355.64 14571.31 5346.69 9570.69 3358.56 7769.53 5279.03 5975.63 8681.96 17388.32 98
CDS-MVSNet64.22 10865.89 10562.28 14070.05 13080.59 10969.91 12257.98 11543.53 15946.58 9648.22 8950.76 10946.45 17475.68 8976.08 8082.70 16486.34 113
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v1762.99 13161.70 14564.51 10568.40 14273.28 17371.80 9054.11 16147.87 13046.14 9739.29 15041.01 14060.60 10372.81 13274.39 11685.99 7683.25 137
RPSCF55.07 18358.06 17751.57 19248.87 22358.95 21353.68 19341.26 21862.42 7445.88 9854.38 6954.26 9853.75 14957.15 20653.53 22266.01 22165.75 207
FMVSNet163.48 12063.07 12563.97 11665.31 17776.37 15371.77 9157.90 11643.32 16145.66 9935.06 18649.43 11258.57 13177.49 6878.22 6584.59 13581.60 154
CMPMVSbinary43.63 1757.67 17755.43 18460.28 15272.01 12079.00 12562.77 16753.23 16941.77 17345.42 10030.74 19939.03 16653.01 15164.81 18764.65 19675.26 20768.03 202
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PatchmatchNetpermissive65.43 10067.71 9162.78 13373.49 11082.83 7466.42 14545.40 20160.40 8145.27 10149.22 8657.60 8560.01 11370.61 15771.38 16386.08 6981.91 151
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v863.44 12362.58 13664.43 10768.28 14478.07 13471.82 8954.85 15446.70 13745.20 10239.40 14540.91 14260.54 10772.85 13074.39 11685.92 7985.76 119
v664.09 10963.40 11964.90 9668.28 14480.78 10071.85 8657.64 12146.73 13645.18 10339.40 14540.89 14360.54 10772.86 12674.40 11185.92 7988.72 88
v1neww64.08 11063.38 12064.89 9868.27 14680.77 10271.84 8757.65 11946.66 13845.10 10439.40 14540.86 14460.57 10472.86 12674.40 11185.92 7988.71 89
v7new64.08 11063.38 12064.89 9868.27 14680.77 10271.84 8757.65 11946.66 13845.10 10439.40 14540.86 14460.57 10472.86 12674.40 11185.92 7988.71 89
v14862.00 14461.19 15062.96 13067.46 16479.49 12167.87 13257.66 11842.30 16945.02 10638.20 16438.89 16954.77 14669.83 16972.60 14884.96 11787.01 106
UA-Net64.62 10468.23 8960.42 15177.53 8381.38 9260.08 17957.47 12547.01 13344.75 10760.68 5571.32 4041.84 18873.27 11572.25 15080.83 18271.68 194
Effi-MVS+-dtu64.58 10564.08 11465.16 9473.04 11375.17 16170.68 11656.23 13954.12 10744.71 10847.42 9651.10 10863.82 8068.08 17766.32 19082.47 16886.38 112
LS3D64.54 10762.14 14067.34 8480.85 6375.79 15769.99 12065.87 5060.77 7944.35 10942.43 12645.95 12065.01 7369.88 16868.69 17877.97 19971.43 196
V4262.86 13362.97 12762.74 13560.84 19278.99 12671.46 10357.13 13346.85 13444.28 11038.87 15440.73 14857.63 13772.60 13874.14 12185.09 11388.63 91
MDTV_nov1_ep1365.21 10167.28 9462.79 13270.91 12781.72 8469.28 12749.50 18558.08 8643.94 11150.50 8256.02 8958.86 13070.72 15673.37 13384.24 14280.52 157
CANet_DTU72.84 5776.63 5168.43 7776.81 8986.62 5175.54 6654.71 15772.06 5243.54 11267.11 3858.46 7972.40 3581.13 4780.82 5187.57 3890.21 66
MVS-HIRNet53.86 19253.02 19354.85 18360.30 19572.36 18244.63 21142.20 21339.45 18443.47 11321.66 21834.00 19655.47 14265.42 18367.16 18683.02 16371.08 197
conf0.00267.12 8967.13 9567.11 8577.95 7782.11 8071.71 9263.06 6949.16 12043.43 11447.76 9448.79 11361.42 9276.61 7676.55 7585.07 11588.92 81
v1562.07 14260.70 15363.67 12068.09 15173.00 17471.27 10453.41 16543.70 15543.43 11438.77 15539.83 15659.87 11772.74 13574.25 11885.98 7782.61 143
conf0.0166.60 9066.18 10167.09 8677.90 7882.02 8171.71 9263.05 7049.16 12043.41 11646.23 10945.78 12161.42 9276.55 7874.63 9785.04 11688.87 83
thres100view90067.14 8866.09 10368.38 7877.70 7983.84 7174.52 7366.33 4849.16 12043.40 11743.24 11541.34 13262.59 8679.31 5775.92 8385.73 9589.81 69
tfpn200view965.90 9564.96 10867.00 8777.70 7981.58 8771.71 9262.94 7549.16 12043.40 11743.24 11541.34 13261.42 9276.24 8074.63 9784.84 12488.52 93
tfpn11166.52 9166.12 10266.98 8877.70 7981.58 8771.71 9262.94 7549.16 12043.28 11951.38 7841.34 13261.42 9276.24 8074.63 9784.84 12488.52 93
conf200view1165.89 9664.96 10866.98 8877.70 7981.58 8771.71 9262.94 7549.16 12043.28 11943.24 11541.34 13261.42 9276.24 8074.63 9784.84 12488.52 93
V1461.96 14560.56 15563.59 12168.06 15272.93 17771.10 10953.33 16743.47 16043.28 11938.59 15639.78 15759.76 11972.65 13774.19 11986.01 7382.32 148
tpm64.85 10366.02 10463.48 12374.52 10578.38 13170.98 11244.99 20451.61 11143.28 11947.66 9553.18 10260.57 10470.58 15971.30 16586.54 5889.45 73
V961.85 14760.42 15863.51 12268.02 15372.85 17870.91 11353.24 16843.25 16243.27 12338.41 16039.73 16159.60 12172.55 13974.13 12286.04 7182.04 150
v1361.60 15160.13 16363.31 12767.95 15772.67 18170.51 11853.05 17142.80 16542.96 12438.10 16739.57 16459.31 12672.36 14273.98 12786.10 6781.40 155
test-LLR68.23 7971.61 7064.28 11471.37 12381.32 9463.98 15761.03 9258.62 8442.96 12452.74 7361.65 6957.74 13575.64 9078.09 6888.61 1893.21 35
TESTMET0.1,167.38 8571.61 7062.45 13866.05 17181.32 9463.98 15755.36 14958.62 8442.96 12452.74 7361.65 6957.74 13575.64 9078.09 6888.61 1893.21 35
v1261.70 14960.27 16063.38 12668.00 15572.76 17970.63 11753.14 17043.01 16442.95 12738.25 16239.64 16359.48 12372.47 14174.05 12586.06 7081.71 153
v163.49 11962.77 13264.32 11068.13 14880.70 10571.70 9857.43 12643.69 15642.89 12839.03 15139.77 15859.93 11672.93 12374.48 10885.86 8788.77 84
divwei89l23v2f11263.48 12062.76 13364.32 11068.13 14880.68 10771.71 9257.43 12643.69 15642.84 12939.01 15339.75 15959.94 11572.93 12374.49 10685.86 8788.75 86
v763.61 11863.02 12664.29 11367.88 15880.32 11271.60 10056.63 13545.37 14542.84 12938.54 15738.91 16861.05 9974.39 10174.52 10485.75 9189.10 77
v114163.48 12062.75 13464.32 11068.13 14880.69 10671.69 9957.43 12643.66 15842.83 13139.02 15239.74 16059.95 11472.94 12274.49 10685.86 8788.75 86
v2v48263.68 11762.85 12964.65 10468.01 15480.46 11171.90 8457.60 12244.26 15042.82 13239.80 14338.62 17061.56 9173.06 11874.86 9486.03 7288.90 82
v1063.00 12962.22 13963.90 11867.88 15877.78 13871.59 10154.34 15845.37 14542.76 13338.53 15838.93 16761.05 9974.39 10174.52 10485.75 9186.04 115
thres20065.58 9764.74 11166.56 9077.52 8481.61 8573.44 7862.95 7346.23 14142.45 13442.76 11941.18 13758.12 13376.24 8075.59 8784.89 12189.58 70
v1161.74 14860.47 15763.22 12867.83 16072.72 18070.31 11952.95 17442.75 16641.89 13538.16 16538.49 17160.40 11174.35 10374.40 11185.92 7982.39 147
CR-MVSNet62.31 13664.75 11059.47 15768.63 13971.29 18867.53 13543.18 20855.83 9641.40 13641.04 13555.85 9057.29 13872.76 13373.27 13878.77 19683.23 139
Patchmtry78.06 13567.53 13543.18 20841.40 136
PatchT60.46 15863.85 11556.51 17665.95 17375.68 15947.34 20341.39 21553.89 10841.40 13637.84 16850.30 11157.29 13872.76 13373.27 13885.67 9983.23 139
EPP-MVSNet67.58 8271.10 7363.48 12375.71 9783.35 7266.85 14057.83 11753.02 10941.15 13955.82 6367.89 5056.01 14174.40 10072.92 14483.33 15590.30 65
pmmvs-eth3d55.20 18053.95 19156.65 17557.34 20567.77 19557.54 18753.74 16340.93 17741.09 14031.19 19829.10 21049.07 16265.54 18267.28 18481.14 17975.81 173
v114463.00 12962.39 13863.70 11967.72 16180.27 11371.23 10656.40 13642.51 16740.81 14138.12 16637.73 17260.42 11074.46 9974.55 10285.64 10389.12 76
thres40065.18 10264.44 11366.04 9176.40 9282.63 7571.52 10264.27 6044.93 14940.69 14241.86 12940.79 14658.12 13377.67 6774.64 9685.26 10888.56 92
Vis-MVSNetpermissive65.53 9969.83 7960.52 15070.80 12984.59 6666.37 14655.47 14848.40 12840.62 14357.67 6058.43 8045.37 18177.49 6876.24 7984.47 13785.99 117
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
CHOSEN 280x42062.23 14066.57 9857.17 17459.88 19668.92 19361.20 17342.28 21254.17 10639.57 14447.78 9364.97 5762.68 8573.85 11069.52 17577.43 20086.75 107
v119262.25 13861.64 14662.96 13066.88 16679.72 11869.96 12155.77 14341.58 17439.42 14537.05 17235.96 18560.50 10974.30 10674.09 12385.24 10988.76 85
v14419262.05 14361.46 14862.73 13666.59 16979.87 11669.30 12655.88 14141.50 17539.41 14637.23 17036.45 18059.62 12072.69 13673.51 13085.61 10488.93 79
IS_MVSNet67.29 8671.98 6661.82 14476.92 8784.32 6965.90 14858.22 11255.75 9839.22 14754.51 6862.47 6445.99 17778.83 6178.52 6284.70 13289.47 72
view60063.91 11563.27 12264.66 10375.57 9881.73 8369.71 12363.04 7143.97 15239.18 14841.09 13340.24 15455.38 14376.28 7972.04 15285.08 11487.52 103
test-mter64.06 11369.24 8158.01 16559.07 19977.40 14259.13 18348.11 19355.64 9939.18 14851.56 7758.54 7855.38 14373.52 11476.00 8287.22 4792.05 50
thres600view763.77 11663.14 12464.51 10575.49 9981.61 8569.59 12462.95 7343.96 15338.90 15041.09 13340.24 15455.25 14576.24 8071.54 15584.89 12187.30 104
tfpn_ndepth62.95 13263.75 11662.02 14276.89 8879.48 12264.09 15460.98 9449.48 11738.73 15149.92 8444.79 12347.37 16971.91 14871.66 15484.07 14779.00 166
v192192061.66 15061.10 15162.31 13966.32 17079.57 12068.41 13155.49 14741.03 17638.69 15236.64 17835.27 19159.60 12173.23 11673.41 13285.37 10688.51 96
ACMH+60.36 1361.16 15358.38 17564.42 10877.37 8574.35 16768.45 13062.81 7945.86 14338.48 15335.71 18137.35 17559.81 11867.24 17969.80 17479.58 19178.32 168
EG-PatchMatch MVS58.73 16958.03 17859.55 15672.32 11880.49 11063.44 16355.55 14632.49 20738.31 15428.87 20237.22 17642.84 18674.30 10675.70 8584.84 12477.14 171
v124061.09 15460.55 15661.72 14565.92 17479.28 12467.16 13954.91 15339.79 18138.10 15536.08 18034.64 19259.15 12872.86 12673.36 13485.10 11187.84 100
ADS-MVSNet58.40 17359.16 17457.52 17165.80 17574.57 16660.26 17740.17 22050.51 11238.01 15640.11 14144.72 12459.36 12564.91 18566.55 18881.53 17672.72 190
FMVSNet558.86 16760.24 16157.25 17352.66 21666.25 19963.77 16052.86 17557.85 8837.92 15736.12 17952.22 10551.37 15470.88 15571.43 15984.92 11866.91 204
IterMVS61.87 14663.55 11759.90 15367.29 16572.20 18367.34 13848.56 19147.48 13237.86 15847.07 10248.27 11454.08 14872.12 14573.71 12884.30 14183.99 129
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
view80063.02 12862.69 13563.39 12574.79 10480.76 10467.83 13361.93 8443.16 16337.78 15940.43 13839.73 16153.16 15075.01 9473.32 13584.87 12386.43 111
pmmvs559.72 16160.24 16159.11 16062.77 18677.33 14463.17 16554.00 16240.21 17937.23 16040.41 13935.99 18451.75 15372.55 13972.74 14685.72 9782.45 146
pm-mvs159.21 16459.58 16958.77 16267.97 15677.07 14964.12 15257.20 13134.73 20036.86 16135.34 18340.54 15343.34 18574.32 10573.30 13783.13 16281.77 152
MIMVSNet57.78 17659.71 16755.53 18154.79 20777.10 14863.89 15945.02 20346.59 14036.79 16228.36 20340.77 14745.84 17874.97 9576.58 7486.87 5473.60 184
tfpnnormal58.97 16556.48 18361.89 14371.27 12576.21 15466.65 14361.76 8832.90 20636.41 16327.83 20429.14 20950.64 15973.06 11873.05 14284.58 13683.15 141
tfpn62.54 13462.79 13162.25 14174.16 10679.86 11766.07 14760.97 9542.43 16836.41 16339.88 14243.76 12751.25 15773.85 11074.17 12084.67 13385.57 122
v74855.19 18154.63 18755.85 17961.44 19172.97 17658.72 18551.62 17934.48 20236.39 16532.09 19333.05 19945.48 17961.85 19767.87 18181.45 17780.08 160
TAMVS58.86 16760.91 15256.47 17762.38 18877.57 14058.97 18452.98 17238.76 18636.17 16642.26 12747.94 11546.45 17470.23 16470.79 16781.86 17478.82 167
PM-MVS50.11 20050.38 20349.80 19747.23 22562.08 21150.91 19744.84 20541.90 17236.10 16735.22 18426.05 21746.83 17357.64 20455.42 22172.90 21274.32 180
v7n57.04 17956.64 18257.52 17162.85 18574.75 16461.76 16951.80 17835.58 19936.02 16832.33 19233.61 19850.16 16167.73 17870.34 17282.51 16682.12 149
conf0.05thres100060.33 16059.42 17061.40 14773.15 11278.25 13365.29 14960.30 10236.61 19235.75 16933.25 18839.23 16550.35 16072.18 14472.67 14783.57 15283.74 130
RPMNet58.63 17262.80 13053.76 19067.59 16371.29 18854.60 19238.13 22355.83 9635.70 17041.58 13153.04 10347.89 16666.10 18167.38 18378.65 19884.40 126
GA-MVS64.55 10665.76 10663.12 12969.68 13281.56 9069.59 12458.16 11345.23 14735.58 17147.01 10441.82 13159.41 12479.62 5578.54 6186.32 6186.56 109
Fast-Effi-MVS+-dtu63.05 12764.72 11261.11 14871.21 12676.81 15070.72 11543.13 21052.51 11035.34 17246.55 10746.36 11861.40 9771.57 15271.44 15884.84 12487.79 101
V454.78 18855.14 18654.37 18754.07 21172.13 18459.83 18149.39 18634.46 20335.11 17331.64 19535.72 18847.22 17163.90 19267.92 17980.59 18480.23 158
v5254.79 18755.15 18554.36 18854.07 21172.13 18459.84 18049.39 18634.50 20135.08 17431.63 19635.74 18747.21 17263.90 19267.92 17980.59 18480.23 158
USDC59.69 16260.03 16459.28 15964.04 18171.84 18663.15 16655.36 14954.90 10335.02 17548.34 8829.79 20858.16 13270.60 15871.33 16479.99 18873.42 185
COLMAP_ROBcopyleft51.17 1555.13 18252.90 19557.73 17073.47 11167.21 19762.13 16855.82 14247.83 13134.39 17631.60 19734.24 19444.90 18263.88 19462.52 20475.67 20563.02 213
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
pmmvs654.20 19153.54 19254.97 18263.22 18472.98 17560.17 17852.32 17726.77 21934.30 17723.29 21436.23 18240.33 19368.77 17568.76 17779.47 19378.00 169
TDRefinement52.70 19351.02 20154.66 18557.41 20465.06 20361.47 17254.94 15144.03 15133.93 17830.13 20127.57 21146.17 17661.86 19662.48 20574.01 21166.06 206
anonymousdsp54.99 18457.24 18052.36 19153.82 21371.75 18751.49 19548.14 19233.74 20433.66 17938.34 16136.13 18347.54 16864.53 18970.60 16979.53 19285.59 121
EPNet_dtu66.17 9370.13 7861.54 14681.04 6177.39 14368.87 12962.50 8069.78 5733.51 18063.77 4556.22 8837.65 19772.20 14372.18 15185.69 9879.38 163
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
thresconf0.0263.92 11465.18 10762.46 13775.91 9580.65 10867.51 13763.86 6345.00 14833.32 18151.38 7851.68 10648.34 16475.49 9375.13 9185.84 9076.91 172
LP48.21 20646.65 21250.03 19660.39 19463.86 20848.73 19938.71 22235.60 19832.99 18223.31 21324.95 21940.07 19457.73 20361.56 20679.29 19459.51 219
TransMVSNet (Re)57.83 17556.90 18158.91 16172.26 11974.69 16563.57 16261.42 9032.30 20832.65 18333.97 18735.96 18539.17 19573.84 11272.84 14584.37 13974.69 179
MDTV_nov1_ep13_2view54.47 19054.61 18854.30 18960.50 19373.82 16957.92 18643.38 20739.43 18532.51 18433.23 18934.05 19547.26 17062.36 19566.21 19184.24 14273.19 187
TinyColmap52.66 19450.09 20455.65 18059.72 19764.02 20757.15 18852.96 17340.28 17832.51 18432.42 19120.97 22356.65 14063.95 19165.15 19574.91 20863.87 210
UniMVSNet_NR-MVSNet62.30 13763.51 11860.89 14969.48 13677.83 13764.07 15563.94 6250.03 11431.17 18644.82 11041.12 13851.37 15471.02 15474.81 9585.30 10784.95 123
DU-MVS60.87 15661.82 14359.76 15566.69 16775.87 15564.07 15561.96 8249.31 11831.17 18642.76 11936.95 17751.37 15469.67 17073.20 14183.30 15684.95 123
ACMH59.42 1461.59 15259.22 17364.36 10978.92 7378.26 13267.65 13467.48 4139.81 18030.98 18838.25 16234.59 19361.37 9870.55 16073.47 13179.74 19079.59 162
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
tmp_tt16.09 23313.07 2368.12 23913.61 2362.08 23555.09 10130.10 18940.26 14022.83 2215.35 23429.91 22925.25 23132.33 233
UniMVSNet (Re)60.62 15762.93 12857.92 16667.64 16277.90 13661.75 17061.24 9149.83 11629.80 19042.57 12240.62 15243.36 18470.49 16273.27 13883.76 14985.81 118
tfpn100058.35 17459.96 16556.47 17772.78 11777.51 14156.66 18959.16 10743.74 15429.76 19142.79 11842.49 12937.04 19868.92 17468.98 17683.45 15475.25 176
tfpn_n40058.64 17059.27 17157.89 16772.83 11577.26 14560.35 17560.29 10339.77 18229.10 19243.45 11240.72 14941.61 19070.06 16671.39 16183.17 15972.26 191
tfpnconf58.64 17059.27 17157.89 16772.83 11577.26 14560.35 17560.29 10339.77 18229.10 19243.45 11240.72 14941.61 19070.06 16671.39 16183.17 15972.26 191
tfpnview1158.92 16659.60 16858.13 16472.99 11477.11 14760.48 17460.37 10042.10 17129.10 19243.45 11240.72 14941.67 18970.53 16170.43 17184.17 14572.85 188
NR-MVSNet61.08 15562.09 14159.90 15371.96 12175.87 15563.60 16161.96 8249.31 11827.95 19542.76 11933.85 19748.82 16374.35 10374.05 12585.13 11084.45 125
TranMVSNet+NR-MVSNet60.38 15961.30 14959.30 15868.34 14375.57 16063.38 16463.78 6546.74 13527.73 19642.56 12336.84 17847.66 16770.36 16374.59 10184.91 12082.46 145
Baseline_NR-MVSNet59.47 16360.28 15958.54 16366.69 16773.90 16861.63 17162.90 7849.15 12626.87 19735.18 18537.62 17348.20 16569.67 17073.61 12984.92 11882.82 142
Vis-MVSNet (Re-imp)62.25 13868.74 8454.68 18473.70 10778.74 12756.51 19057.49 12455.22 10026.86 19854.56 6761.35 7131.06 20073.10 11774.90 9382.49 16783.31 135
test0.0.03 157.35 17859.89 16654.38 18671.37 12373.45 17052.71 19461.03 9246.11 14226.33 19941.73 13044.08 12529.72 20371.43 15370.90 16685.10 11171.56 195
N_pmnet47.67 20747.00 21148.45 20154.72 20862.78 20946.95 20551.25 18036.01 19626.09 20026.59 20825.93 21835.50 19955.67 21259.01 20976.22 20463.04 212
SixPastTwentyTwo49.11 20449.22 20648.99 19858.54 20364.14 20647.18 20447.75 19431.15 21024.42 20141.01 13626.55 21344.04 18354.76 21658.70 21171.99 21568.21 200
ambc42.30 21650.36 21749.51 22435.47 22132.04 20923.53 20217.36 2238.95 23529.06 20564.88 18656.26 21761.29 22467.12 203
FPMVS39.11 21936.39 22342.28 21155.97 20645.94 22846.23 20741.57 21435.73 19722.61 20323.46 21219.82 22528.32 21043.57 22440.67 22758.96 22545.54 224
PMVScopyleft27.44 1832.08 22429.07 22635.60 22348.33 22424.79 23326.97 23041.34 21620.45 22722.50 20417.11 22518.64 22720.44 22041.99 22738.06 22854.02 23042.44 228
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Anonymous2023120652.23 19552.80 19651.56 19364.70 18069.41 19151.01 19658.60 11136.63 19122.44 20521.80 21731.42 20430.52 20166.79 18067.83 18282.10 17275.73 174
CVMVSNet54.92 18658.16 17651.13 19562.61 18768.44 19455.45 19152.38 17642.28 17021.45 20647.10 10146.10 11937.96 19664.42 19063.81 19876.92 20375.01 178
MDA-MVSNet-bldmvs44.15 21242.27 21846.34 20638.34 22862.31 21046.28 20655.74 14429.83 21220.98 20727.11 20716.45 23041.98 18741.11 22857.47 21374.72 20961.65 217
pmmvs341.86 21642.29 21741.36 21339.80 22652.66 22138.93 21935.85 22923.40 22320.22 20819.30 21920.84 22440.56 19255.98 21158.79 21072.80 21365.03 208
testpf43.39 21347.17 21038.98 21765.58 17647.38 22736.09 22031.67 23036.97 18919.47 20933.01 19035.62 19023.61 21650.86 22256.08 21857.48 22770.27 199
111138.93 22038.98 22038.86 21950.10 21850.42 22229.52 22538.00 22422.67 22417.99 21017.40 22126.26 21528.72 20854.86 21458.20 21268.82 22043.08 227
.test124525.86 22724.56 22927.39 22850.10 21850.42 22229.52 22538.00 22422.67 22417.99 21017.40 22126.26 21528.72 20854.86 2140.05 2340.01 2380.24 236
testgi48.51 20550.53 20246.16 20764.78 17867.15 19841.54 21454.81 15529.12 21417.03 21232.07 19431.98 20120.15 22165.26 18467.00 18778.67 19761.10 218
test235646.29 21047.37 20945.03 21054.38 20957.99 21642.03 21350.32 18230.78 21116.65 21327.40 20623.70 22029.86 20261.20 19864.31 19776.93 20266.22 205
CP-MVSNet50.57 19852.60 19848.21 20258.77 20165.82 20148.17 20156.29 13837.41 18816.59 21437.14 17131.95 20229.21 20456.60 20863.71 19980.22 18675.56 175
LTVRE_ROB47.26 1649.41 20349.91 20548.82 19964.76 17969.79 19049.05 19847.12 19720.36 22816.52 21536.65 17726.96 21250.76 15860.47 19963.16 20164.73 22272.00 193
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
PS-CasMVS50.17 19952.02 19948.02 20358.60 20265.54 20248.04 20256.19 14036.42 19416.42 21635.68 18231.33 20528.85 20656.42 21063.54 20080.01 18775.18 177
PEN-MVS51.04 19652.94 19448.82 19961.45 19066.00 20048.68 20057.20 13136.87 19015.36 21736.98 17332.72 20028.77 20757.63 20566.37 18981.44 17874.00 182
test20.0347.23 20948.69 20745.53 20963.28 18364.39 20441.01 21656.93 13429.16 21315.21 21823.90 21030.76 20717.51 22664.63 18865.26 19379.21 19562.71 214
WR-MVS51.02 19754.56 18946.90 20563.84 18269.23 19244.78 21056.38 13738.19 18714.19 21937.38 16936.82 17922.39 21760.14 20066.20 19279.81 18973.95 183
EU-MVSNet44.84 21147.85 20841.32 21549.26 22056.59 21843.07 21247.64 19633.03 20513.82 22036.78 17530.99 20624.37 21553.80 21755.57 22069.78 21768.21 200
gm-plane-assit54.99 18457.99 17951.49 19469.27 13754.42 21932.32 22342.59 21121.18 22613.71 22123.61 21143.84 12660.21 11287.09 486.55 490.81 489.28 74
WR-MVS_H49.62 20252.63 19746.11 20858.80 20067.58 19646.14 20854.94 15136.51 19313.63 22236.75 17635.67 18922.10 21856.43 20962.76 20281.06 18072.73 189
gg-mvs-nofinetune62.34 13566.19 10057.86 16976.15 9488.61 3371.18 10741.24 21925.74 22013.16 22322.91 21563.97 6154.52 14785.06 1385.25 1090.92 391.78 52
DTE-MVSNet49.82 20151.92 20047.37 20461.75 18964.38 20545.89 20957.33 13036.11 19512.79 22436.87 17431.93 20325.73 21258.01 20265.22 19480.75 18370.93 198
new-patchmatchnet42.21 21542.97 21541.33 21453.05 21559.89 21239.38 21749.61 18428.26 21612.10 22522.17 21621.54 22219.22 22250.96 22156.04 21974.61 21061.92 216
testus42.30 21443.69 21340.67 21653.21 21453.50 22031.81 22449.96 18327.06 21711.55 22625.67 20919.00 22625.20 21355.34 21362.59 20372.31 21462.69 215
MIMVSNet140.84 21743.46 21437.79 22032.14 23058.92 21439.24 21850.83 18127.00 21811.29 22716.76 22826.53 21417.75 22557.14 20761.12 20875.46 20656.78 222
Anonymous2023121140.44 21839.25 21941.84 21254.29 21057.29 21741.10 21549.06 18917.67 23110.15 22810.63 23016.79 22925.15 21452.14 21856.70 21671.30 21663.51 211
Gipumacopyleft24.91 22824.61 22825.26 22931.47 23121.59 23418.06 23237.53 22625.43 22110.03 2294.18 2364.25 23814.85 22843.20 22547.03 22439.62 23226.55 232
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new_pmnet33.19 22335.52 22430.47 22427.55 23445.31 22929.29 22730.92 23129.00 2159.88 23018.77 22017.64 22826.77 21144.07 22345.98 22558.41 22647.87 223
testmv37.40 22137.95 22136.76 22148.97 22149.33 22528.65 22846.74 19818.34 2297.68 23116.80 22614.47 23119.18 22351.72 21956.93 21469.36 21858.09 220
test123567837.40 22137.94 22236.76 22148.97 22149.30 22628.65 22846.73 19918.33 2307.68 23116.79 22714.46 23219.18 22351.72 21956.92 21569.36 21858.07 221
FC-MVSNet-test47.24 20854.37 19038.93 21859.49 19858.25 21534.48 22253.36 16645.66 1446.66 23350.62 8042.02 13016.62 22758.39 20161.21 20762.99 22364.40 209
DeepMVS_CXcopyleft19.81 23617.01 23410.02 23423.61 2225.85 23417.21 2248.03 23721.13 21922.60 23221.42 23630.01 230
test1235629.92 22531.49 22528.08 22538.46 22737.74 23121.36 23140.17 22016.83 2325.61 23515.66 22911.48 2336.60 23342.01 22651.23 22356.29 22845.52 225
MVEpermissive15.98 1914.37 23216.36 23112.04 2347.72 23720.24 2355.90 23929.05 2328.28 2373.92 2364.72 2352.42 2399.57 23218.89 23331.46 23016.07 23728.53 231
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
no-one26.96 22626.51 22727.49 22737.87 22939.14 23017.12 23341.31 21712.02 2343.68 2378.04 2328.42 23610.67 23128.11 23045.96 22654.27 22943.89 226
E-PMN15.08 23011.65 23219.08 23028.73 23212.31 2376.95 23836.87 22810.71 2363.63 2385.13 2332.22 24113.81 23011.34 23418.50 23224.49 23421.32 233
EMVS14.40 23110.71 23318.70 23128.15 23312.09 2387.06 23736.89 22711.00 2353.56 2394.95 2342.27 24013.91 22910.13 23516.06 23322.63 23518.51 234
PMMVS220.45 22922.31 23018.27 23220.52 23526.73 23214.85 23528.43 23313.69 2330.79 24010.35 2319.10 2343.83 23527.64 23132.87 22941.17 23135.81 229
GG-mvs-BLEND54.54 18977.58 4227.67 2260.03 23890.09 2477.20 570.02 23666.83 630.05 24159.90 5773.33 300.04 23678.40 6579.30 5688.65 1695.20 20
sosnet-low-res0.00 2350.00 2360.00 2370.00 2390.00 2420.00 2430.00 2380.00 2400.00 2420.00 2390.00 2430.00 2390.00 2380.00 2370.00 2400.00 238
sosnet0.00 2350.00 2360.00 2370.00 2390.00 2420.00 2430.00 2380.00 2400.00 2420.00 2390.00 2430.00 2390.00 2380.00 2370.00 2400.00 238
testmvs0.05 2330.08 2340.01 2350.00 2390.01 2400.03 2410.01 2370.05 2380.00 2420.14 2380.01 2420.03 2380.05 2360.05 2340.01 2380.24 236
test1230.05 2330.08 2340.01 2350.00 2390.01 2400.01 2420.00 2380.05 2380.00 2420.16 2370.00 2430.04 2360.02 2370.05 2340.00 2400.26 235
Patchmatch-RL test2.17 240
mPP-MVS86.96 3770.61 43
NP-MVS81.60 31