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 17857.99 17451.49 18769.27 14654.42 21132.32 21442.59 20121.18 21513.71 21123.61 20243.84 14860.21 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 5995.77 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 19250.74 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 14296.77 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 5595.60 18
gg-mvs-nofinetune62.34 13866.19 12157.86 16376.15 10588.61 4071.18 11041.24 20825.74 21113.16 21322.91 20563.97 7154.52 14985.06 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 5895.40 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 7094.77 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 8394.24 37
MVSTER76.92 5079.92 4173.42 6074.98 11482.97 9478.15 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 7294.21 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 4094.34 34
Skip Steuart: Steuart Systems R&D Blog.
MVS_Test75.22 5876.69 6073.51 5879.30 7888.82 3880.06 5058.74 11269.77 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 4697.28 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 6587.67 108
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 5992.84 53
canonicalmvs77.65 4479.59 4375.39 4881.52 6589.83 3381.32 4260.74 10580.05 4266.72 4168.43 4365.09 6574.72 3378.87 7482.73 3187.32 5592.16 58
xxxxxxxxxxxxxcwj84.33 1583.20 2785.64 394.57 194.55 491.01 179.94 189.15 1279.85 792.37 344.71 14679.75 883.52 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 6395.30 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 4496.78 10
FMVSNet370.41 8471.89 8368.68 9170.89 13779.42 12775.63 7460.97 10165.32 8051.06 9647.37 11162.05 7564.90 9082.49 3682.27 3688.64 2384.34 134
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 8890.77 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 4092.09 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 15064.91 6556.65 10862.59 5247.89 10745.23 14451.99 15469.18 16981.88 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 8583.01 3169.38 3679.88 4355.83 7879.85 2564.90 6770.81 5782.46 3781.78 4186.30 7793.18 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 10594.51 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 10286.80 6080.41 4861.47 9662.35 8859.44 6947.91 10668.12 5572.24 4882.84 3481.50 4687.15 6494.42 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 6795.49 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 14093.75 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 8487.95 5172.75 9460.27 10977.50 5157.73 7371.53 3866.60 6173.16 4280.99 5881.23 5187.63 4795.73 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 7792.40 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 8793.19 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 8491.43 64
baseline171.47 7772.02 8070.82 7480.56 7384.51 8176.61 7166.93 5156.22 11248.66 10755.40 8060.43 8662.55 10483.35 2980.99 5589.60 783.28 143
FMVSNet268.06 9868.57 10367.45 10169.49 14278.65 13274.54 8560.23 11056.29 11149.64 10542.13 13857.08 10463.43 9781.15 5680.99 5587.37 5283.73 137
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 9194.06 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 7194.66 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 5089.20 92
CANet_DTU72.84 7076.63 6168.43 9476.81 9986.62 6475.54 7754.71 16172.06 6143.54 12767.11 4558.46 9672.40 4781.13 5780.82 6087.57 4890.21 81
DROMVSNet76.05 5578.87 4572.77 6478.87 8286.63 6277.50 6557.04 13375.34 5561.68 5864.20 5469.56 5373.96 3682.12 4480.65 6187.57 4893.57 46
ET-MVSNet_ETH3D71.38 7974.70 7067.51 10051.61 20788.06 4977.29 6860.95 10463.61 8548.36 10966.60 4860.67 8579.55 1073.56 12580.58 6287.30 5789.80 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 8190.76 76
X-MVS78.16 4280.55 3975.38 4987.99 4186.27 6881.05 4568.98 3978.33 4661.07 6275.25 3472.27 4067.52 8280.03 6480.52 6485.66 10291.20 68
ECVR-MVS66.72 10867.80 10965.45 10877.42 9486.63 6269.69 12262.98 7955.29 11839.47 14740.12 15047.11 13955.70 14479.96 6580.00 6587.47 5185.49 127
diffmvs74.32 6175.42 6773.04 6275.60 11087.27 5678.20 5762.96 8068.66 7361.89 5559.79 7159.84 9071.80 5178.30 8179.87 6687.80 4294.23 38
CS-MVS73.80 6677.47 5169.53 8374.86 11685.07 7669.93 12056.91 13672.12 5954.28 8764.82 5366.85 6074.88 2979.25 7179.64 6786.30 7794.52 31
CP-MVS79.44 3381.51 3677.02 3986.95 4485.96 7282.00 3568.44 4381.82 3567.39 4077.43 3073.68 3571.62 5379.56 6979.58 6885.73 9592.51 56
OPM-MVS72.74 7170.93 9074.85 5485.30 5284.34 8482.82 3369.79 3349.96 13755.39 8354.09 8960.14 8970.04 6380.38 6379.43 6985.74 9488.20 104
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
baseline271.22 8173.01 7869.13 8775.76 10886.34 6771.23 10862.78 8662.62 8652.85 9057.32 7554.31 11863.27 10079.74 6779.31 7088.89 1591.43 64
GG-mvs-BLEND54.54 18177.58 5027.67 2100.03 22490.09 3077.20 690.02 22166.83 750.05 22559.90 7073.33 370.04 22078.40 7979.30 7188.65 2295.20 27
HyFIR lowres test68.39 9568.28 10668.52 9380.85 6988.11 4771.08 11258.09 11754.87 12447.80 11227.55 19855.80 11064.97 8979.11 7279.14 7288.31 3393.35 47
PVSNet_Blended_VisFu71.76 7673.54 7569.69 8279.01 8087.16 5872.05 9761.80 9356.46 11059.66 6853.88 9062.48 7359.08 12881.17 5578.90 7386.53 7494.74 29
MSLP-MVS++78.57 3977.33 5380.02 2388.39 3584.79 7984.62 2366.17 5775.96 5478.40 1161.59 6371.47 4673.54 4178.43 7878.88 7488.97 1490.18 82
CS-MVS-test73.97 6476.86 5770.60 7775.53 11183.16 9277.50 6557.04 13371.34 6253.25 8963.44 5764.85 6873.96 3682.12 4478.80 7586.30 7794.34 34
EIA-MVS73.48 6776.05 6370.47 7878.12 8587.21 5771.78 10060.63 10669.66 6955.56 8164.86 5260.69 8469.53 6777.35 8778.59 7687.22 6194.01 41
GA-MVS64.55 12365.76 12563.12 12869.68 14181.56 10569.59 12358.16 11645.23 15835.58 17047.01 11841.82 15159.41 12479.62 6878.54 7786.32 7686.56 115
IS_MVSNet67.29 10571.98 8161.82 14076.92 9884.32 8665.90 14858.22 11555.75 11639.22 15054.51 8562.47 7445.99 17578.83 7578.52 7884.70 12689.47 89
ACMMPcopyleft77.61 4579.59 4375.30 5085.87 5085.58 7381.42 4067.38 4979.38 4562.61 5178.53 2765.79 6468.80 7578.56 7778.50 7985.75 9290.80 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 7477.84 6261.77 9458.01 10455.40 8241.26 14258.34 9861.69 10981.70 5178.29 8089.56 880.02 160
GBi-Net69.21 8770.40 9267.81 9769.49 14278.65 13274.54 8560.97 10165.32 8051.06 9647.37 11162.05 7563.43 9777.49 8378.22 8187.37 5283.73 137
test169.21 8770.40 9267.81 9769.49 14278.65 13274.54 8560.97 10165.32 8051.06 9647.37 11162.05 7563.43 9777.49 8378.22 8187.37 5283.73 137
FMVSNet163.48 13163.07 13863.97 12265.31 17076.37 15471.77 10257.90 12143.32 16545.66 11635.06 17949.43 13458.57 13077.49 8378.22 8184.59 12981.60 156
test-LLR68.23 9771.61 8564.28 12071.37 13281.32 10963.98 15561.03 9958.62 10142.96 13252.74 9161.65 7957.74 13775.64 10278.09 8488.61 2493.21 48
TESTMET0.1,167.38 10471.61 8562.45 13666.05 16581.32 10963.98 15555.36 15358.62 10142.96 13252.74 9161.65 7957.74 13775.64 10278.09 8488.61 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 8877.65 8684.75 12594.01 41
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
thisisatest053068.38 9670.98 8965.35 10972.61 12584.42 8268.21 13157.98 11859.77 9750.80 9954.63 8358.48 9557.92 13476.99 9077.47 8784.60 12885.07 128
tttt051767.99 9970.61 9164.94 11271.94 13083.96 8867.62 13557.98 11859.30 9949.90 10454.50 8657.98 10257.92 13476.48 9377.47 8784.24 13584.58 131
MVS_111021_LR74.26 6275.95 6472.27 6779.43 7785.04 7772.71 9565.27 6470.92 6463.58 4969.32 4160.31 8869.43 6977.01 8977.15 8983.22 14991.93 62
Effi-MVS+70.42 8271.23 8769.47 8478.04 8685.24 7575.57 7658.88 11159.56 9848.47 10852.73 9354.94 11569.69 6578.34 8077.06 9086.18 8190.73 77
Anonymous20240521166.35 12078.00 8784.41 8374.85 8263.18 7751.00 13331.37 18953.73 12369.67 6676.28 9476.84 9183.21 15190.85 72
AdaColmapbinary76.23 5473.55 7479.35 2689.38 2885.00 7879.99 5173.04 2176.60 5371.17 2855.18 8157.99 10177.87 1776.82 9176.82 9284.67 12786.45 116
Anonymous2023121168.44 9466.37 11970.86 7377.58 9183.49 9075.15 8161.89 9152.54 13058.50 7028.89 19456.78 10569.29 7274.96 10976.61 9382.73 15591.36 67
MIMVSNet57.78 17159.71 16655.53 17554.79 20277.10 14963.89 15745.02 19246.59 15236.79 16328.36 19640.77 15945.84 17674.97 10776.58 9486.87 6873.60 180
DCV-MVSNet69.13 8969.07 9969.21 8677.65 9077.52 14574.68 8357.85 12254.92 12255.34 8455.74 7855.56 11366.35 8475.05 10676.56 9583.35 14688.13 105
Fast-Effi-MVS+67.59 10067.56 11167.62 9973.67 12081.14 11171.12 11154.79 16058.88 10050.61 10146.70 12147.05 14069.12 7376.06 9876.44 9686.43 7586.65 114
CostFormer72.18 7373.90 7370.18 8079.47 7686.19 7176.94 7048.62 18066.07 7960.40 6754.14 8865.82 6367.98 7775.84 10076.41 9787.67 4592.83 54
baseline72.89 6974.46 7171.07 7275.99 10687.50 5574.57 8460.49 10770.72 6557.60 7460.63 6860.97 8370.79 5875.27 10576.33 9886.94 6689.79 86
LGP-MVS_train72.02 7573.18 7770.67 7682.13 6280.26 12079.58 5263.04 7870.09 6651.98 9265.06 5155.62 11262.49 10575.97 9976.32 9984.80 12488.93 95
Vis-MVSNetpermissive65.53 11669.83 9660.52 14670.80 13884.59 8066.37 14755.47 15248.40 14440.62 14557.67 7458.43 9745.37 17877.49 8376.24 10084.47 13185.99 122
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
CDS-MVSNet64.22 12565.89 12462.28 13870.05 13980.59 11669.91 12157.98 11843.53 16446.58 11448.22 10550.76 13146.45 17275.68 10176.08 10182.70 15686.34 118
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
test-mter64.06 12769.24 9858.01 16159.07 19477.40 14659.13 17748.11 18355.64 11739.18 15151.56 9658.54 9455.38 14673.52 12676.00 10287.22 6192.05 61
thres100view90067.14 10766.09 12268.38 9577.70 8883.84 8974.52 8866.33 5649.16 14143.40 12943.24 12741.34 15262.59 10379.31 7075.92 10385.73 9589.81 84
FC-MVSNet-train68.83 9268.29 10569.47 8478.35 8379.94 12164.72 14966.38 5454.96 12154.51 8656.75 7647.91 13866.91 8375.57 10475.75 10485.92 8887.12 110
EG-PatchMatch MVS58.73 16658.03 17359.55 15272.32 12680.49 11763.44 16155.55 15032.49 20038.31 15528.87 19537.22 17342.84 18374.30 11875.70 10584.84 12077.14 169
PMMVS70.37 8575.06 6864.90 11371.46 13181.88 10064.10 15255.64 14871.31 6346.69 11370.69 4058.56 9369.53 6779.03 7375.63 10681.96 16788.32 103
thres20065.58 11464.74 12866.56 10477.52 9381.61 10273.44 9362.95 8146.23 15342.45 13642.76 12941.18 15458.12 13276.24 9575.59 10784.89 11889.58 87
ACMM66.70 1070.42 8268.49 10472.67 6582.85 5677.76 14377.70 6364.76 6664.61 8460.74 6649.29 10153.97 12165.86 8674.97 10775.57 10884.13 13983.29 142
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
GeoE68.96 9169.32 9768.54 9276.61 10183.12 9371.78 10056.87 13760.21 9654.86 8545.95 12454.79 11764.27 9374.59 11175.54 10986.84 6991.01 71
TSAR-MVS + COLMAP73.09 6876.86 5768.71 9074.97 11582.49 9974.51 8961.83 9283.16 2949.31 10682.22 2251.62 12968.94 7478.76 7675.52 11082.67 15784.23 135
ACMP68.86 772.15 7472.25 7972.03 6880.96 6880.87 11477.93 6064.13 6969.29 7060.79 6564.04 5553.54 12463.91 9573.74 12475.27 11184.45 13288.98 94
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
UGNet67.57 10271.69 8462.76 13369.88 14082.58 9766.43 14558.64 11354.71 12551.87 9361.74 6262.01 7845.46 17774.78 11074.99 11284.24 13591.02 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 14168.74 10254.68 17873.70 11978.74 13156.51 18357.49 12755.22 11926.86 19154.56 8461.35 8131.06 19373.10 12974.90 11382.49 16083.31 141
v2v48263.68 13062.85 14264.65 11568.01 15180.46 11871.90 9857.60 12544.26 16142.82 13439.80 15238.62 16861.56 11073.06 13074.86 11486.03 8688.90 97
UniMVSNet_NR-MVSNet62.30 14063.51 13460.89 14469.48 14577.83 14164.07 15363.94 7050.03 13631.17 18344.82 12541.12 15551.37 15771.02 15174.81 11585.30 10784.95 129
test_part166.32 10963.35 13569.77 8177.40 9578.35 13677.85 6156.25 14144.52 16062.15 5433.05 18353.91 12262.38 10772.19 14174.65 11682.59 15886.81 112
thres40065.18 11964.44 13066.04 10576.40 10382.63 9671.52 10564.27 6844.93 15940.69 14441.86 13940.79 15858.12 13277.67 8274.64 11785.26 10888.56 100
tfpn200view965.90 11364.96 12667.00 10377.70 8881.58 10471.71 10362.94 8349.16 14143.40 12943.24 12741.34 15261.42 11176.24 9574.63 11884.84 12088.52 101
TranMVSNet+NR-MVSNet60.38 15661.30 15459.30 15568.34 14975.57 16263.38 16263.78 7246.74 15027.73 18942.56 13336.84 17547.66 16770.36 16074.59 11984.91 11782.46 149
v114463.00 13562.39 14663.70 12567.72 15480.27 11971.23 10856.40 13842.51 16640.81 14338.12 16037.73 16960.42 11874.46 11374.55 12085.64 10389.12 93
v1063.00 13562.22 14763.90 12467.88 15377.78 14271.59 10454.34 16245.37 15742.76 13538.53 15538.93 16661.05 11474.39 11574.52 12185.75 9286.04 120
IterMVS-LS66.08 11266.56 11865.51 10773.67 12074.88 16470.89 11553.55 16750.42 13548.32 11050.59 9855.66 11161.83 10873.93 12074.42 12284.82 12386.01 121
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v863.44 13262.58 14464.43 11768.28 15078.07 13871.82 9954.85 15846.70 15145.20 11939.40 15340.91 15760.54 11672.85 13474.39 12385.92 8885.76 124
V4262.86 13762.97 13962.74 13460.84 18878.99 13071.46 10657.13 13246.85 14944.28 12538.87 15440.73 16057.63 13972.60 13874.14 12485.09 11388.63 99
v119262.25 14161.64 15162.96 12966.88 15979.72 12369.96 11955.77 14641.58 17139.42 14837.05 16535.96 18260.50 11774.30 11874.09 12585.24 10988.76 98
OMC-MVS74.03 6375.82 6571.95 6979.56 7580.98 11275.35 8063.21 7684.48 2661.83 5661.54 6466.89 5969.41 7076.60 9274.07 12682.34 16386.15 119
NR-MVSNet61.08 15262.09 14959.90 14971.96 12975.87 15663.60 15961.96 8949.31 13927.95 18842.76 12933.85 19248.82 16474.35 11674.05 12785.13 11084.45 132
thisisatest051559.37 16160.68 15957.84 16464.39 17475.65 16158.56 17953.86 16541.55 17242.12 13740.40 14839.59 16447.09 17071.69 14873.79 12881.02 17582.08 153
IterMVS61.87 14763.55 13359.90 14967.29 15872.20 17667.34 13948.56 18147.48 14737.86 15947.07 11648.27 13554.08 15072.12 14273.71 12984.30 13483.99 136
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Baseline_NR-MVSNet59.47 16060.28 16158.54 16066.69 16073.90 17061.63 16962.90 8449.15 14326.87 19035.18 17837.62 17048.20 16569.67 16673.61 13084.92 11582.82 147
v14419262.05 14561.46 15362.73 13566.59 16379.87 12269.30 12555.88 14441.50 17339.41 14937.23 16336.45 17759.62 12272.69 13773.51 13185.61 10488.93 95
ACMH59.42 1461.59 14959.22 16864.36 11978.92 8178.26 13767.65 13467.48 4839.81 17930.98 18538.25 15834.59 18861.37 11370.55 15873.47 13279.74 18379.59 161
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
v192192061.66 14861.10 15662.31 13766.32 16479.57 12568.41 13055.49 15141.03 17438.69 15336.64 17135.27 18559.60 12373.23 12873.41 13385.37 10688.51 102
MDTV_nov1_ep1365.21 11867.28 11362.79 13170.91 13681.72 10169.28 12649.50 17958.08 10343.94 12650.50 9956.02 10858.86 12970.72 15473.37 13484.24 13580.52 159
v124061.09 15160.55 16061.72 14165.92 16879.28 12867.16 14054.91 15739.79 18038.10 15636.08 17334.64 18759.15 12772.86 13373.36 13585.10 11187.84 106
CPTT-MVS75.43 5777.13 5673.44 5981.43 6682.55 9880.96 4664.35 6777.95 4961.39 5969.20 4270.94 4869.38 7173.89 12173.32 13683.14 15292.06 60
pm-mvs159.21 16259.58 16758.77 15967.97 15277.07 15064.12 15157.20 13034.73 19636.86 16135.34 17640.54 16243.34 18274.32 11773.30 13783.13 15381.77 155
UniMVSNet (Re)60.62 15462.93 14157.92 16267.64 15577.90 14061.75 16861.24 9849.83 13829.80 18742.57 13240.62 16143.36 18170.49 15973.27 13883.76 14185.81 123
CR-MVSNet62.31 13964.75 12759.47 15368.63 14871.29 18267.53 13643.18 19855.83 11441.40 13841.04 14455.85 10957.29 14072.76 13573.27 13878.77 18883.23 144
PatchT60.46 15563.85 13256.51 17265.95 16775.68 16047.34 19741.39 20553.89 12841.40 13837.84 16150.30 13357.29 14072.76 13573.27 13885.67 9983.23 144
DU-MVS60.87 15361.82 15059.76 15166.69 16075.87 15664.07 15361.96 8949.31 13931.17 18342.76 12936.95 17451.37 15769.67 16673.20 14183.30 14884.95 129
tfpnnormal58.97 16356.48 17861.89 13971.27 13476.21 15566.65 14461.76 9532.90 19936.41 16527.83 19729.14 20550.64 16173.06 13073.05 14284.58 13083.15 146
MSDG65.57 11561.57 15270.24 7982.02 6376.47 15274.46 9168.73 4256.52 10950.33 10238.47 15641.10 15662.42 10672.12 14272.94 14383.47 14573.37 182
EPP-MVSNet67.58 10171.10 8863.48 12675.71 10983.35 9166.85 14157.83 12353.02 12941.15 14155.82 7767.89 5756.01 14374.40 11472.92 14483.33 14790.30 80
TransMVSNet (Re)57.83 16956.90 17658.91 15872.26 12774.69 16763.57 16061.42 9732.30 20132.65 17933.97 18135.96 18239.17 18973.84 12372.84 14584.37 13374.69 175
pmmvs559.72 15860.24 16259.11 15762.77 18277.33 14863.17 16354.00 16440.21 17837.23 16040.41 14735.99 18151.75 15572.55 13972.74 14685.72 9782.45 150
v14862.00 14661.19 15562.96 12967.46 15779.49 12667.87 13257.66 12442.30 16745.02 12138.20 15938.89 16754.77 14869.83 16572.60 14784.96 11487.01 111
TAPA-MVS67.10 971.45 7873.47 7669.10 8877.04 9780.78 11573.81 9262.10 8880.80 3951.28 9560.91 6663.80 7267.98 7774.59 11172.42 14882.37 16280.97 157
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
IterMVS-SCA-FT60.21 15762.97 13957.00 17066.64 16271.84 17767.53 13646.93 18847.56 14636.77 16446.85 12048.21 13652.51 15370.36 16072.40 14971.63 20683.53 140
UA-Net64.62 12168.23 10760.42 14777.53 9281.38 10760.08 17457.47 12847.01 14844.75 12260.68 6771.32 4741.84 18573.27 12772.25 15080.83 17771.68 187
EPNet_dtu66.17 11170.13 9561.54 14281.04 6777.39 14768.87 12862.50 8769.78 6733.51 17863.77 5656.22 10737.65 19172.20 14072.18 15185.69 9879.38 162
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
tpmrst67.15 10668.12 10866.03 10676.21 10480.98 11271.27 10745.05 19160.69 9450.63 10046.95 11954.15 12065.30 8771.80 14671.77 15287.72 4390.48 78
thres600view763.77 12963.14 13764.51 11675.49 11281.61 10269.59 12362.95 8143.96 16338.90 15241.09 14340.24 16355.25 14776.24 9571.54 15384.89 11887.30 109
tpm cat167.47 10367.05 11467.98 9676.63 10081.51 10674.49 9047.65 18561.18 9161.12 6142.51 13453.02 12764.74 9270.11 16371.50 15483.22 14989.49 88
pmmvs463.14 13362.46 14563.94 12366.03 16676.40 15366.82 14257.60 12556.74 10750.26 10340.81 14637.51 17159.26 12671.75 14771.48 15583.68 14482.53 148
Fast-Effi-MVS+-dtu63.05 13464.72 12961.11 14371.21 13576.81 15170.72 11643.13 20052.51 13135.34 17146.55 12246.36 14161.40 11271.57 14971.44 15684.84 12087.79 107
FMVSNet558.86 16460.24 16257.25 16852.66 20666.25 19463.77 15852.86 17257.85 10537.92 15836.12 17252.22 12851.37 15770.88 15371.43 15784.92 11566.91 198
EPMVS66.21 11067.49 11264.73 11475.81 10784.20 8768.94 12744.37 19561.55 9048.07 11149.21 10354.87 11662.88 10171.82 14571.40 15888.28 3479.37 163
PatchmatchNetpermissive65.43 11767.71 11062.78 13273.49 12282.83 9566.42 14645.40 19060.40 9545.27 11849.22 10257.60 10360.01 12070.61 15571.38 15986.08 8581.91 154
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
USDC59.69 15960.03 16459.28 15664.04 17571.84 17763.15 16455.36 15354.90 12335.02 17248.34 10429.79 20458.16 13170.60 15671.33 16079.99 18173.42 181
tpm64.85 12066.02 12363.48 12674.52 11778.38 13570.98 11444.99 19351.61 13243.28 13147.66 10953.18 12560.57 11570.58 15771.30 16186.54 7389.45 90
test0.0.03 157.35 17359.89 16554.38 18171.37 13273.45 17252.71 18961.03 9946.11 15426.33 19241.73 14044.08 14729.72 19571.43 15070.90 16285.10 11171.56 188
SCA63.90 12866.67 11560.66 14573.75 11871.78 17959.87 17543.66 19661.13 9245.03 12051.64 9559.45 9157.92 13470.96 15270.80 16383.71 14380.92 158
TAMVS58.86 16460.91 15756.47 17362.38 18477.57 14458.97 17852.98 17038.76 18336.17 16642.26 13747.94 13746.45 17270.23 16270.79 16481.86 16878.82 165
PLCcopyleft64.00 1268.54 9366.66 11670.74 7580.28 7474.88 16472.64 9663.70 7369.26 7155.71 7947.24 11455.31 11470.42 6072.05 14470.67 16581.66 17077.19 168
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
anonymousdsp54.99 17857.24 17552.36 18453.82 20471.75 18051.49 19048.14 18233.74 19733.66 17738.34 15736.13 18047.54 16864.53 18570.60 16679.53 18585.59 126
CNLPA71.37 8070.27 9472.66 6680.79 7181.33 10871.07 11365.75 5982.36 3264.80 4642.46 13556.49 10672.70 4673.00 13270.52 16780.84 17685.76 124
v7n57.04 17456.64 17757.52 16662.85 18174.75 16661.76 16751.80 17535.58 19536.02 16832.33 18633.61 19350.16 16267.73 17370.34 16882.51 15982.12 152
dps64.08 12663.22 13665.08 11175.27 11379.65 12466.68 14346.63 18956.94 10655.67 8043.96 12643.63 14964.00 9469.50 16869.82 16982.25 16479.02 164
UniMVSNet_ETH3D57.83 16956.46 17959.43 15463.24 17973.22 17367.70 13355.58 14936.17 19136.84 16232.64 18435.14 18651.50 15665.81 17769.81 17081.73 16982.44 151
ACMH+60.36 1361.16 15058.38 17064.42 11877.37 9674.35 16968.45 12962.81 8545.86 15538.48 15435.71 17437.35 17259.81 12167.24 17469.80 17179.58 18478.32 166
CHOSEN 280x42062.23 14366.57 11757.17 16959.88 19168.92 18861.20 17142.28 20254.17 12639.57 14647.78 10864.97 6662.68 10273.85 12269.52 17277.43 19286.75 113
pmmvs654.20 18353.54 18554.97 17663.22 18072.98 17460.17 17352.32 17426.77 21034.30 17523.29 20436.23 17940.33 18868.77 17068.76 17379.47 18678.00 167
LS3D64.54 12462.14 14867.34 10280.85 6975.79 15869.99 11865.87 5860.77 9344.35 12442.43 13645.95 14365.01 8869.88 16468.69 17477.97 19171.43 189
Anonymous2023120652.23 18852.80 19051.56 18664.70 17369.41 18651.01 19158.60 11436.63 18822.44 19821.80 20731.42 19930.52 19466.79 17567.83 17582.10 16675.73 171
RPMNet58.63 16762.80 14353.76 18367.59 15671.29 18254.60 18638.13 21055.83 11435.70 16941.58 14153.04 12647.89 16666.10 17667.38 17678.65 19084.40 133
pmmvs-eth3d55.20 17553.95 18456.65 17157.34 20067.77 19057.54 18153.74 16640.93 17541.09 14231.19 19029.10 20649.07 16365.54 17867.28 17781.14 17375.81 170
PatchMatch-RL62.22 14460.69 15864.01 12168.74 14775.75 15959.27 17660.35 10856.09 11353.80 8847.06 11736.45 17764.80 9168.22 17167.22 17877.10 19374.02 177
MVS-HIRNet53.86 18553.02 18754.85 17760.30 19072.36 17544.63 20542.20 20339.45 18143.47 12821.66 20834.00 19155.47 14565.42 17967.16 17983.02 15471.08 191
testgi48.51 19850.53 19646.16 19964.78 17167.15 19341.54 20754.81 15929.12 20617.03 20332.07 18731.98 19520.15 20965.26 18067.00 18078.67 18961.10 209
ADS-MVSNet58.40 16859.16 16957.52 16665.80 16974.57 16860.26 17240.17 20950.51 13438.01 15740.11 15144.72 14559.36 12564.91 18166.55 18181.53 17172.72 185
PEN-MVS51.04 18952.94 18848.82 19161.45 18766.00 19548.68 19457.20 13036.87 18615.36 20736.98 16632.72 19428.77 19957.63 19766.37 18281.44 17274.00 178
Effi-MVS+-dtu64.58 12264.08 13165.16 11073.04 12475.17 16370.68 11756.23 14254.12 12744.71 12347.42 11051.10 13063.82 9668.08 17266.32 18382.47 16186.38 117
MDTV_nov1_ep13_2view54.47 18254.61 18154.30 18260.50 18973.82 17157.92 18043.38 19739.43 18232.51 18033.23 18234.05 19047.26 16962.36 18966.21 18484.24 13573.19 183
WR-MVS51.02 19054.56 18246.90 19763.84 17669.23 18744.78 20456.38 13938.19 18414.19 20937.38 16236.82 17622.39 20560.14 19366.20 18579.81 18273.95 179
test20.0347.23 20148.69 20145.53 20163.28 17864.39 19941.01 20856.93 13529.16 20515.21 20823.90 20130.76 20217.51 21264.63 18465.26 18679.21 18762.71 206
DTE-MVSNet49.82 19451.92 19447.37 19661.75 18664.38 20045.89 20357.33 12936.11 19212.79 21436.87 16731.93 19725.73 20258.01 19565.22 18780.75 17870.93 192
TinyColmap52.66 18750.09 19855.65 17459.72 19264.02 20257.15 18252.96 17140.28 17732.51 18032.42 18520.97 21556.65 14263.95 18765.15 18874.91 19963.87 203
CMPMVSbinary43.63 1757.67 17255.43 18060.28 14872.01 12879.00 12962.77 16553.23 16941.77 17045.42 11730.74 19139.03 16553.01 15264.81 18364.65 18975.26 19868.03 196
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
CVMVSNet54.92 18058.16 17151.13 18862.61 18368.44 18955.45 18552.38 17342.28 16821.45 19947.10 11546.10 14237.96 19064.42 18663.81 19076.92 19475.01 174
pmnet_mix0253.92 18453.30 18654.65 18061.89 18571.33 18154.54 18754.17 16340.38 17634.65 17334.76 18030.68 20340.44 18760.97 19163.71 19182.19 16571.24 190
CP-MVSNet50.57 19152.60 19248.21 19458.77 19665.82 19648.17 19556.29 14037.41 18516.59 20437.14 16431.95 19629.21 19656.60 20063.71 19180.22 17975.56 172
PS-CasMVS50.17 19252.02 19348.02 19558.60 19765.54 19748.04 19656.19 14336.42 19016.42 20635.68 17531.33 20028.85 19856.42 20263.54 19380.01 18075.18 173
LTVRE_ROB47.26 1649.41 19649.91 19948.82 19164.76 17269.79 18549.05 19347.12 18720.36 21716.52 20536.65 17026.96 20850.76 16060.47 19263.16 19464.73 20972.00 186
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 19552.63 19146.11 20058.80 19567.58 19146.14 20254.94 15536.51 18913.63 21236.75 16935.67 18422.10 20656.43 20162.76 19581.06 17472.73 184
COLMAP_ROBcopyleft51.17 1555.13 17652.90 18957.73 16573.47 12367.21 19262.13 16655.82 14547.83 14534.39 17431.60 18834.24 18944.90 17963.88 18862.52 19675.67 19663.02 205
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
TDRefinement52.70 18651.02 19554.66 17957.41 19965.06 19861.47 17054.94 15544.03 16233.93 17630.13 19327.57 20746.17 17461.86 19062.48 19774.01 20266.06 199
FC-MVSNet-test47.24 20054.37 18338.93 20659.49 19358.25 20934.48 21353.36 16845.66 1566.66 21950.62 9742.02 15016.62 21358.39 19461.21 19862.99 21064.40 202
MIMVSNet140.84 20643.46 20437.79 20732.14 21558.92 20839.24 21050.83 17727.00 20911.29 21616.76 21426.53 21017.75 21157.14 19961.12 19975.46 19756.78 210
N_pmnet47.67 19947.00 20348.45 19354.72 20362.78 20346.95 19951.25 17636.01 19326.09 19326.59 20025.93 21235.50 19255.67 20459.01 20076.22 19563.04 204
pmmvs341.86 20542.29 20741.36 20339.80 21352.66 21238.93 21135.85 21423.40 21420.22 20119.30 20920.84 21640.56 18655.98 20358.79 20172.80 20465.03 201
SixPastTwentyTwo49.11 19749.22 20048.99 19058.54 19864.14 20147.18 19847.75 18431.15 20324.42 19441.01 14526.55 20944.04 18054.76 20558.70 20271.99 20568.21 194
MDA-MVSNet-bldmvs44.15 20342.27 20846.34 19838.34 21462.31 20446.28 20055.74 14729.83 20420.98 20027.11 19916.45 22041.98 18441.11 21257.47 20374.72 20061.65 208
ambc42.30 20650.36 20849.51 21335.47 21232.04 20223.53 19517.36 2118.95 22229.06 19764.88 18256.26 20461.29 21167.12 197
new-patchmatchnet42.21 20442.97 20541.33 20453.05 20559.89 20639.38 20949.61 17828.26 20812.10 21522.17 20621.54 21419.22 21050.96 20756.04 20574.61 20161.92 207
EU-MVSNet44.84 20247.85 20241.32 20549.26 20956.59 21043.07 20647.64 18633.03 19813.82 21036.78 16830.99 20124.37 20353.80 20655.57 20669.78 20768.21 194
PM-MVS50.11 19350.38 19749.80 18947.23 21262.08 20550.91 19244.84 19441.90 16936.10 16735.22 17726.05 21146.83 17157.64 19655.42 20772.90 20374.32 176
RPSCF55.07 17758.06 17251.57 18548.87 21058.95 20753.68 18841.26 20762.42 8745.88 11554.38 8754.26 11953.75 15157.15 19853.53 20866.01 20865.75 200
Gipumacopyleft24.91 21124.61 21325.26 21131.47 21621.59 21818.06 21837.53 21125.43 21210.03 2174.18 2204.25 22414.85 21443.20 21047.03 20939.62 21626.55 217
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new_pmnet33.19 20835.52 21030.47 20927.55 21945.31 21529.29 21530.92 21529.00 2079.88 21818.77 21017.64 21926.77 20144.07 20845.98 21058.41 21347.87 211
FPMVS39.11 20736.39 20942.28 20255.97 20145.94 21446.23 20141.57 20435.73 19422.61 19623.46 20319.82 21728.32 20043.57 20940.67 21158.96 21245.54 212
PMVScopyleft27.44 1832.08 20929.07 21235.60 20848.33 21124.79 21726.97 21641.34 20620.45 21622.50 19717.11 21318.64 21820.44 20841.99 21138.06 21254.02 21442.44 213
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS220.45 21222.31 21418.27 21520.52 22026.73 21614.85 22028.43 21713.69 2180.79 22410.35 2169.10 2213.83 21927.64 21532.87 21341.17 21535.81 214
MVEpermissive15.98 1914.37 21516.36 21512.04 2177.72 22220.24 2205.90 22429.05 2168.28 2213.92 2214.72 2192.42 2259.57 21718.89 21731.46 21416.07 22228.53 216
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method28.15 21034.48 21120.76 2126.76 22321.18 21921.03 21718.41 21836.77 18717.52 20215.67 21531.63 19824.05 20441.03 21326.69 21536.82 21768.38 193
tmp_tt16.09 21613.07 2218.12 22413.61 2212.08 22055.09 12030.10 18640.26 14922.83 2135.35 21829.91 21425.25 21632.33 218
E-PMN15.08 21311.65 21619.08 21328.73 21712.31 2226.95 22336.87 21310.71 2203.63 2225.13 2172.22 22713.81 21611.34 21818.50 21724.49 21921.32 218
EMVS14.40 21410.71 21718.70 21428.15 21812.09 2237.06 22236.89 21211.00 2193.56 2234.95 2182.27 22613.91 21510.13 21916.06 21822.63 22018.51 219
testmvs0.05 2160.08 2180.01 2180.00 2250.01 2250.03 2260.01 2220.05 2220.00 2260.14 2220.01 2280.03 2220.05 2200.05 2190.01 2230.24 221
test1230.05 2160.08 2180.01 2180.00 2250.01 2250.01 2270.00 2230.05 2220.00 2260.16 2210.00 2290.04 2200.02 2210.05 2190.00 2240.26 220
uanet_test0.00 2180.00 2200.00 2200.00 2250.00 2270.00 2280.00 2230.00 2240.00 2260.00 2230.00 2290.00 2230.00 2220.00 2210.00 2240.00 222
sosnet-low-res0.00 2180.00 2200.00 2200.00 2250.00 2270.00 2280.00 2230.00 2240.00 2260.00 2230.00 2290.00 2230.00 2220.00 2210.00 2240.00 222
sosnet0.00 2180.00 2200.00 2200.00 2250.00 2270.00 2280.00 2230.00 2240.00 2260.00 2230.00 2290.00 2230.00 2220.00 2210.00 2240.00 222
RE-MVS-def31.47 182
9.1484.47 7
SR-MVS86.33 4867.54 4780.78 20
our_test_363.32 17771.07 18455.90 184
MTAPA78.32 1279.42 25
MTMP76.04 1776.65 30
Patchmatch-RL test2.17 225
XVS82.43 5786.27 6875.70 7261.07 6272.27 4085.67 99
X-MVStestdata82.43 5786.27 6875.70 7261.07 6272.27 4085.67 99
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 13967.53 13643.18 19841.40 138
DeepMVS_CXcopyleft19.81 22117.01 21910.02 21923.61 2135.85 22017.21 2128.03 22321.13 20722.60 21621.42 22130.01 215