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
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MCST-MVS91.08 191.46 189.94 297.66 273.37 697.13 195.58 289.33 185.77 1796.26 772.84 799.38 192.64 295.93 397.08 4
CNVR-MVS90.32 290.89 388.61 1096.76 470.65 1796.47 594.83 1384.83 689.07 396.80 270.86 1199.06 292.64 295.71 496.12 15
DELS-MVS90.05 390.09 489.94 293.14 4873.88 597.01 294.40 2588.32 285.71 1894.91 3774.11 598.91 487.26 2195.94 297.03 5
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
DeepPCF-MVS81.17 189.72 491.38 284.72 8793.00 5058.16 22196.72 394.41 2486.50 490.25 197.83 175.46 398.67 1092.78 195.49 697.32 1
HPM-MVS++89.37 589.95 587.64 1795.10 1768.23 5095.24 1994.49 2182.43 1288.90 496.35 571.89 1098.63 1188.76 1496.40 196.06 16
NCCC89.07 689.46 687.91 1396.60 569.05 3496.38 694.64 1984.42 786.74 1396.20 866.56 3298.76 989.03 1294.56 1595.92 22
PS-MVSNAJ88.14 787.61 1389.71 492.06 6676.72 195.75 993.26 5283.86 889.55 296.06 1053.55 14097.89 2791.10 493.31 2894.54 56
TSAR-MVS87.96 888.37 886.70 3693.51 4165.32 12295.15 2293.84 3178.17 4985.93 1694.80 4075.80 298.21 1989.38 788.78 6696.59 10
DeepC-MVS_fast79.48 287.95 988.00 987.79 1695.86 1268.32 4695.74 1094.11 2883.82 983.49 3496.19 964.53 4898.44 1583.42 3994.88 1096.61 9
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
EPNet87.84 1088.38 786.23 5493.30 4366.05 11295.26 1894.84 1287.09 388.06 694.53 4466.79 3097.34 4683.89 3691.68 4495.29 32
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
lupinMVS87.74 1187.77 1187.63 1989.24 10771.18 1396.57 492.90 6782.70 1187.13 1095.27 2464.99 4495.80 9489.34 891.80 4295.93 21
APDe-MVS87.54 1287.84 1086.65 3796.07 966.30 10894.84 2993.78 3269.35 16888.39 596.34 667.74 2597.66 3290.62 593.44 2796.01 19
SD-MVS87.49 1387.49 1587.50 2193.60 3868.82 4093.90 4892.63 7676.86 6587.90 795.76 1266.17 3397.63 3489.06 1191.48 4896.05 17
test_prior387.38 1487.70 1286.42 4694.71 2167.35 6395.10 2493.10 6075.40 8085.25 2495.61 1667.94 2196.84 7087.47 1894.77 1195.05 43
alignmvs87.28 1586.97 2088.24 1291.30 7871.14 1595.61 1393.56 4179.30 3287.07 1295.25 2668.43 1696.93 6887.87 1684.33 9596.65 8
Regformer-187.24 1687.60 1486.15 5595.14 1565.83 11793.95 4495.12 782.11 1584.25 3095.73 1367.88 2498.35 1785.60 2988.64 6794.26 62
train_agg87.21 1787.42 1786.60 3994.18 2667.28 6594.16 3393.51 4271.87 13285.52 2095.33 2168.19 1897.27 5089.09 994.90 895.25 37
MG-MVS87.11 1886.27 2489.62 597.79 176.27 294.96 2894.49 2178.74 4583.87 3392.94 7264.34 4996.94 6675.19 8494.09 1995.66 24
agg_prior187.02 1987.26 1886.28 5394.16 3066.97 7494.08 3893.31 5071.85 13484.49 2895.39 1968.91 1496.75 7388.84 1394.32 1795.13 41
Regformer-287.00 2087.43 1685.71 6795.14 1564.73 13193.95 4494.95 1081.69 2084.03 3195.73 1367.35 2898.19 2185.40 3188.64 6794.20 64
agg_prior386.93 2187.08 1986.48 4394.21 2466.95 7694.14 3693.40 4771.80 13784.86 2695.13 2866.16 3497.25 5289.09 994.90 895.25 37
CSCG86.87 2286.26 2588.72 895.05 1870.79 1693.83 5195.33 468.48 18077.63 7394.35 4873.04 698.45 1484.92 3493.71 2396.92 6
canonicalmvs86.85 2386.25 2688.66 991.80 7071.92 993.54 5891.71 10480.26 2587.55 895.25 2663.59 5796.93 6888.18 1584.34 9497.11 3
PHI-MVS86.83 2486.85 2386.78 3593.47 4265.55 11995.39 1795.10 971.77 13985.69 1996.52 362.07 6898.77 886.06 2795.60 596.03 18
SteuartSystems-ACMMP86.82 2586.90 2186.58 4190.42 8866.38 10596.09 893.87 3077.73 5484.01 3295.66 1563.39 5897.94 2587.40 2093.55 2695.42 27
Skip Steuart: Steuart Systems R&D Blog.
PVSNet_Blended86.73 2686.86 2286.31 5293.76 3467.53 6196.33 793.61 3982.34 1381.00 4693.08 6763.19 6197.29 4887.08 2291.38 4994.13 68
jason86.40 2786.17 2787.11 3086.16 15170.54 1995.71 1292.19 8882.00 1884.58 2794.34 4961.86 7095.53 10687.76 1790.89 5495.27 34
jason: jason.
WTY-MVS86.32 2885.81 3187.85 1492.82 5469.37 3195.20 2095.25 582.71 1081.91 4094.73 4167.93 2397.63 3479.55 6082.25 10696.54 11
MSLP-MVS86.27 2985.91 3087.35 2492.01 6768.97 3795.04 2692.70 7179.04 4081.50 4396.50 458.98 8396.78 7283.49 3893.93 2196.29 14
VNet86.20 3085.65 3487.84 1593.92 3369.99 2395.73 1195.94 178.43 4786.00 1593.07 6958.22 8597.00 6085.22 3284.33 9596.52 12
MVS_111021_HR86.19 3185.80 3287.37 2393.17 4769.79 2793.99 4393.76 3479.08 3978.88 6293.99 5562.25 6798.15 2285.93 2891.15 5294.15 67
APD-MVScopyleft85.93 3285.99 2885.76 6495.98 1165.21 12393.59 5692.58 7866.54 19286.17 1495.88 1163.83 5397.00 6086.39 2692.94 3195.06 42
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PAPM85.89 3385.46 3587.18 2788.20 12972.42 892.41 8792.77 7082.11 1580.34 4893.07 6968.27 1795.02 10978.39 7093.59 2594.09 71
Regformer-385.80 3485.92 2985.46 6894.17 2865.09 12792.95 7195.11 881.13 2181.68 4295.04 2965.82 3798.32 1883.02 4084.36 9292.97 99
CDPH-MVS85.71 3585.46 3586.46 4494.75 2067.19 6793.89 4992.83 6970.90 15283.09 3595.28 2363.62 5697.36 4480.63 5594.18 1894.84 48
DeepC-MVS77.85 385.52 3685.24 3786.37 4988.80 11666.64 9592.15 9193.68 3781.07 2276.91 8393.64 5962.59 6698.44 1585.50 3092.84 3394.03 74
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
Regformer-485.45 3785.69 3384.73 8594.17 2863.23 15992.95 7194.83 1380.66 2381.29 4495.04 2965.12 4298.08 2482.74 4184.36 9292.88 103
PAPR85.15 3884.47 4087.18 2796.02 1068.29 4791.85 11193.00 6476.59 7079.03 6195.00 3161.59 7197.61 3678.16 7189.00 6595.63 25
MP-MVScopyleft85.02 3984.97 3885.17 7692.60 5864.27 14493.24 6492.27 8473.13 11379.63 5594.43 4561.90 6997.17 5385.00 3392.56 3594.06 73
#test#84.98 4084.74 3985.72 6593.75 3665.01 12894.09 3793.19 5673.55 10979.22 5894.93 3459.04 8197.67 2982.66 4292.21 3694.49 59
HyFIR84.98 4083.45 4789.57 689.94 9475.14 392.07 9792.32 8281.87 1975.68 8888.27 12260.18 7798.60 1280.46 5790.27 6194.96 46
HFP-MVS84.73 4284.40 4185.72 6593.75 3665.01 12893.50 5993.19 5672.19 12579.22 5894.93 3459.04 8197.67 2981.55 4992.21 3694.49 59
HC-MVS84.66 4382.86 5690.06 190.93 8274.56 487.91 18595.54 368.55 17872.35 12094.71 4259.78 7898.90 581.29 5494.69 1496.74 7
ACMMPR84.37 4484.06 4285.28 7593.56 3964.37 13993.50 5993.15 5972.19 12578.85 6494.86 3856.69 10197.45 4081.55 4992.20 3894.02 75
region2R84.36 4584.03 4385.36 7393.54 4064.31 14193.43 6292.95 6572.16 12878.86 6394.84 3956.97 9597.53 3881.38 5292.11 4094.24 63
LFMVS84.34 4682.73 5889.18 794.76 1973.25 794.99 2791.89 9771.90 13182.16 3993.49 6247.98 18597.05 5582.55 4384.82 8897.25 2
HY-MVS76.49 584.28 4783.36 5187.02 3392.22 6567.74 5584.65 21494.50 2079.15 3682.23 3887.93 12566.88 2996.94 6680.53 5682.20 10796.39 13
MAR-MVS84.18 4883.43 4886.44 4596.25 765.93 11594.28 3294.27 2774.41 8679.16 6095.61 1653.99 13598.88 769.62 12393.26 2994.50 58
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
MVS_Test84.16 4983.20 5287.05 3291.56 7369.82 2689.99 15592.05 9177.77 5382.84 3686.57 13563.93 5296.09 8774.91 8689.18 6495.25 37
PVSNet_Blended_VisFu83.97 5083.50 4585.39 7290.02 9266.59 9893.77 5291.73 10277.43 6077.08 8289.81 11063.77 5596.97 6379.67 5988.21 7092.60 107
DWT-MVSNet_test83.95 5182.80 5787.41 2292.90 5270.07 2289.12 16894.42 2382.15 1477.64 7291.77 8970.81 1296.22 8265.03 15981.36 11095.94 20
XVS83.87 5283.47 4685.05 7893.22 4463.78 14892.92 7392.66 7473.99 9778.18 6794.31 5155.25 11097.41 4179.16 6391.58 4693.95 77
EI-MVSNet-Vis-set83.77 5383.67 4484.06 9792.79 5663.56 15691.76 11594.81 1579.65 3077.87 6994.09 5363.35 5997.90 2679.35 6179.36 11990.74 129
MVSFormer83.75 5482.88 5586.37 4989.24 10771.18 1389.07 16990.69 13665.80 19687.13 1094.34 4964.99 4492.67 18372.83 9391.80 4295.27 34
CP-MVS83.71 5583.40 5084.65 8893.14 4863.84 14794.59 3092.28 8371.03 15077.41 7694.92 3655.21 11396.19 8381.32 5390.70 5693.91 79
PVSNet_BlendedMVS83.38 5683.43 4883.22 11293.76 3467.53 6194.06 3993.61 3979.13 3781.00 4685.14 14863.19 6197.29 4887.08 2273.91 15084.83 204
PGM-MVS83.25 5782.70 5984.92 8092.81 5564.07 14690.44 14692.20 8771.28 14877.23 7994.43 4555.17 11497.31 4779.33 6291.38 4993.37 86
HPM-MVS83.25 5782.95 5484.17 9592.25 6462.88 16790.91 13691.86 9870.30 16077.12 8093.96 5656.75 9996.28 8182.04 4691.34 5193.34 87
EI-MVSNet-UG-set83.14 5982.96 5383.67 10792.28 6363.19 16091.38 12694.68 1779.22 3476.60 8493.75 5862.64 6597.76 2878.07 7278.01 12990.05 136
PatchFormer-LS_test83.14 5981.81 6787.12 2992.34 6069.92 2588.64 17493.32 4982.07 1774.87 9691.62 9368.91 1496.08 8966.07 15078.45 12895.37 28
VDD-MVS83.06 6181.81 6786.81 3490.86 8567.70 5695.40 1691.50 11275.46 7981.78 4192.34 8340.09 21797.13 5486.85 2482.04 10895.60 26
PAPM_NR82.97 6281.84 6686.37 4994.10 3266.76 8787.66 19092.84 6869.96 16374.07 10393.57 6063.10 6397.50 3970.66 11690.58 5894.85 47
mPP-MVS82.96 6382.44 6084.52 9192.83 5362.92 16592.76 7691.85 9971.52 14575.61 9194.24 5253.48 14496.99 6278.97 6690.73 5593.64 82
DP-MVS Recon82.73 6481.65 6985.98 5797.31 367.06 7195.15 2291.99 9369.08 17176.50 8693.89 5754.48 12998.20 2070.76 11585.66 8692.69 104
CLD-MVS82.73 6482.35 6283.86 10087.90 13567.65 5895.45 1592.18 8985.06 572.58 11392.27 8452.46 15195.78 9584.18 3579.06 12288.16 152
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
sss82.71 6682.38 6183.73 10489.25 10559.58 21092.24 9094.89 1177.96 5179.86 5292.38 8156.70 10097.05 5577.26 7580.86 11494.55 54
3Dnovator73.91 682.69 6780.82 7488.31 1189.57 10071.26 1292.60 8494.39 2678.84 4267.89 16592.48 7948.42 18098.52 1368.80 13094.40 1695.15 40
MVSTER82.47 6882.05 6383.74 10292.68 5769.01 3591.90 10993.21 5379.83 2672.14 12185.71 14474.72 494.72 11975.72 8072.49 15787.50 156
TESTMET0.1,182.41 6981.98 6583.72 10588.08 13063.74 15092.70 7993.77 3379.30 3277.61 7487.57 12858.19 8694.08 14473.91 8986.68 7793.33 89
CostFormer82.33 7081.15 7385.86 6089.01 11268.46 4282.39 23093.01 6275.59 7780.25 4981.57 18572.03 994.96 11179.06 6577.48 13394.16 66
API-MVS82.28 7180.53 7987.54 2096.13 870.59 1893.63 5491.04 12965.72 19875.45 9392.83 7556.11 10698.89 664.10 16789.75 6393.15 94
IB-MVS77.80 482.18 7280.46 8087.35 2489.14 10970.28 2195.59 1495.17 678.85 4170.19 13385.82 14270.66 1397.67 2972.19 10166.52 19194.09 71
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
3Dnovator+73.60 782.10 7380.60 7886.60 3990.89 8466.80 8695.20 2093.44 4574.05 9667.42 17092.49 7849.46 17397.65 3370.80 11491.68 4495.33 29
MVS_111021_LR82.02 7481.52 7083.51 10988.42 12562.88 16789.77 15788.93 19176.78 6775.55 9293.10 6550.31 16595.38 10883.82 3787.02 7692.26 116
PMMVS81.98 7582.04 6481.78 14989.76 9856.17 23491.13 13490.69 13677.96 5180.09 5093.57 6046.33 19794.99 11081.41 5187.46 7494.17 65
EPP-MVSNet81.79 7681.52 7082.61 12388.77 11760.21 20093.02 6993.66 3868.52 17972.90 10990.39 10372.19 894.96 11174.93 8579.29 12192.67 105
APD-MVS_3200maxsize81.64 7781.32 7282.59 12492.36 5958.74 21891.39 12491.01 13063.35 21279.72 5494.62 4351.82 15496.14 8579.71 5887.93 7292.89 102
ACMMPcopyleft81.49 7880.67 7683.93 9991.71 7162.90 16692.13 9292.22 8671.79 13871.68 12593.49 6250.32 16496.96 6478.47 6884.22 9991.93 119
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
CDS-MVSNet81.43 7980.74 7583.52 10886.26 14964.45 13492.09 9590.65 13975.83 7673.95 10589.81 11063.97 5192.91 17571.27 10882.82 10493.20 93
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
mvs_anonymous81.36 8079.99 8285.46 6890.39 9068.40 4386.88 20290.61 14074.41 8670.31 13284.67 15263.79 5492.32 19173.13 9085.70 8595.67 23
liao81.25 8180.05 8184.87 8292.30 6264.31 14187.91 18591.39 11659.44 23579.94 5192.91 7357.09 9197.01 5866.63 14392.81 3493.29 90
HQP-MVS81.14 8280.64 7782.64 12287.54 13763.66 15494.06 3991.70 10579.80 2774.18 9990.30 10451.63 15895.61 10177.63 7378.90 12388.63 145
nrg03080.93 8379.86 8484.13 9683.69 18168.83 3993.23 6591.20 12275.55 7875.06 9588.22 12363.04 6494.74 11881.88 4766.88 18888.82 143
Vis-MVSNetpermissive80.92 8479.98 8383.74 10288.48 12261.80 17993.44 6188.26 20573.96 10077.73 7091.76 9049.94 16994.76 11665.84 15390.37 6094.65 52
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
liao180.70 8578.95 9985.94 5987.77 13667.56 6087.91 18592.55 7972.17 12767.44 16993.09 6650.27 16697.04 5771.68 10487.64 7393.23 92
tpmrst80.57 8679.14 9884.84 8390.10 9168.28 4881.70 23389.72 17077.63 5675.96 8779.54 21364.94 4692.71 18175.43 8277.28 13693.55 83
1112_ss80.56 8779.83 8582.77 11788.65 11860.78 18992.29 8888.36 20172.58 11872.46 11794.95 3265.09 4393.42 16666.38 14677.71 13194.10 70
VDDNet80.50 8878.26 10587.21 2686.19 15069.79 2794.48 3191.31 11960.42 23079.34 5790.91 9738.48 22396.56 7982.16 4481.05 11295.27 34
BH-w/o80.49 8979.30 9584.05 9890.83 8664.36 14093.60 5589.42 17774.35 9169.09 15090.15 10655.23 11295.61 10164.61 16286.43 8292.17 117
TAMVS80.37 9079.45 9183.13 11485.14 16363.37 15791.23 13190.76 13574.81 8572.65 11188.49 11760.63 7692.95 17269.41 12581.95 10993.08 96
HQP_MVS80.34 9179.75 8682.12 14386.94 14462.42 17193.13 6791.31 11978.81 4372.53 11489.14 11450.66 16295.55 10476.74 7678.53 12688.39 149
HPM-MVS_fast80.25 9279.55 9082.33 13491.55 7459.95 20591.32 12989.16 18465.23 20374.71 9793.07 6947.81 18795.74 9774.87 8888.23 6991.31 125
diffmvs80.18 9378.55 10385.07 7788.56 11966.93 7786.70 20588.62 19670.42 15778.69 6685.26 14656.93 9794.77 11568.68 13183.09 10193.51 84
ab-mvs80.18 9378.31 10485.80 6188.44 12465.49 12183.00 22892.67 7371.82 13677.36 7785.01 14954.50 12796.59 7676.35 7975.63 14295.32 31
IS-MVSNet80.14 9579.41 9282.33 13487.91 13460.08 20491.97 10188.27 20472.90 11571.44 12691.73 9261.44 7293.66 16262.47 18286.53 8093.24 91
test-LLR80.10 9679.56 8981.72 15086.93 14661.17 18592.70 7991.54 10971.51 14675.62 8986.94 13253.83 13692.38 18872.21 9984.76 9091.60 121
PVSNet73.49 880.05 9778.63 10184.31 9390.92 8364.97 13092.47 8691.05 12879.18 3572.43 11890.51 10237.05 23594.06 14568.06 13286.00 8493.90 80
UA-Net80.02 9879.65 8781.11 15889.33 10357.72 22586.33 20789.00 19077.44 5981.01 4589.15 11359.33 7995.90 9161.01 18884.28 9789.73 140
test-mter79.96 9979.38 9481.72 15086.93 14661.17 18592.70 7991.54 10973.85 10275.62 8986.94 13249.84 17192.38 18872.21 9984.76 9091.60 121
QAPM79.95 10077.39 11787.64 1789.63 9971.41 1193.30 6393.70 3665.34 20267.39 17291.75 9147.83 18698.96 357.71 20389.81 6292.54 109
UGNet79.87 10178.68 10083.45 11189.96 9361.51 18292.13 9290.79 13376.83 6678.85 6486.33 13838.16 22596.17 8467.93 13487.17 7592.67 105
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
tpm279.80 10277.95 10985.34 7488.28 12768.26 4981.56 23791.42 11570.11 16177.59 7580.50 20067.40 2694.26 13967.34 13977.35 13493.51 84
DI_MVS_test_dynamic79.78 10377.50 11686.62 3880.90 19969.46 3090.69 14191.97 9577.00 6259.07 21282.34 17146.82 19195.88 9282.14 4586.59 7994.53 57
DI_MVS_test_normal79.66 10477.36 11986.54 4280.72 20269.21 3290.68 14292.16 9076.99 6358.63 21682.03 18046.70 19395.86 9381.74 4886.63 7894.56 53
CPTT-MVS79.59 10579.16 9780.89 16591.54 7559.80 20792.10 9488.54 19960.42 23072.96 10893.28 6448.27 18192.80 17878.89 6786.50 8190.06 135
Test_1112_low_res79.56 10678.60 10282.43 12888.24 12860.39 19692.09 9587.99 20972.10 12971.84 12387.42 13064.62 4793.04 17065.80 15477.30 13593.85 81
FIs79.47 10779.41 9279.67 18085.95 15459.40 21191.68 11993.94 2978.06 5068.96 15388.28 12166.61 3191.77 20166.20 14974.99 14487.82 154
BH-RMVSNet79.46 10877.65 11284.89 8191.68 7265.66 11893.55 5788.09 20672.93 11473.37 10791.12 9646.20 19896.12 8656.28 20785.61 8792.91 101
PCF-MVS73.15 979.29 10977.63 11384.29 9486.06 15265.96 11487.03 19791.10 12669.86 16469.79 13990.64 9857.54 9096.59 7664.37 16682.29 10590.32 133
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Vis-MVSNet (Re-imp)79.24 11079.57 8878.24 20288.46 12352.29 24890.41 14889.12 18574.24 9269.13 14991.91 8765.77 3890.09 22259.00 19788.09 7192.33 112
114514_t79.17 11177.67 11183.68 10695.32 1465.53 12092.85 7591.60 10863.49 21167.92 16490.63 10046.65 19495.72 9967.01 14283.54 10089.79 138
VPA-MVSNet79.03 11278.00 10882.11 14685.95 15464.48 13393.22 6694.66 1875.05 8474.04 10484.95 15052.17 15393.52 16474.90 8767.04 18788.32 151
EI-MVSNet78.97 11378.22 10681.25 15685.33 16062.73 17089.53 16193.21 5372.39 12172.14 12190.13 10760.99 7394.72 11967.73 13672.49 15786.29 176
AdaColmapbinary78.94 11477.00 12284.76 8496.34 665.86 11692.66 8387.97 21062.18 22070.56 12892.37 8243.53 20697.35 4564.50 16482.86 10391.05 127
tpmp4_e2378.85 11576.55 12485.77 6389.25 10568.39 4481.63 23691.38 11770.40 15875.21 9479.22 21567.37 2794.79 11458.98 19875.51 14394.13 68
VPNet78.82 11677.53 11582.70 11984.52 17066.44 10493.93 4692.23 8580.46 2472.60 11288.38 12049.18 17693.13 16972.47 9863.97 21388.55 147
EPNet_dtu78.80 11779.26 9677.43 21288.06 13149.71 26191.96 10291.95 9677.67 5576.56 8591.28 9558.51 8490.20 21756.37 20680.95 11392.39 111
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TR-MVS78.77 11877.37 11882.95 11590.49 8760.88 18793.67 5390.07 15770.08 16274.51 9891.37 9445.69 19995.70 10060.12 19180.32 11592.29 114
BH-untuned78.68 11977.08 12083.48 11089.84 9663.74 15092.70 7988.59 19771.57 14366.83 17788.65 11651.75 15695.39 10759.03 19684.77 8991.32 124
OMC-MVS78.67 12077.91 11080.95 16485.76 15957.40 22888.49 17588.67 19473.85 10272.43 11892.10 8549.29 17594.55 12372.73 9577.89 13090.91 128
tpm78.58 12177.03 12183.22 11285.94 15664.56 13283.21 22691.14 12578.31 4873.67 10679.68 21064.01 5092.09 19666.07 15071.26 16593.03 97
OpenMVScopyleft70.45 1178.54 12275.92 13286.41 4885.93 15771.68 1092.74 7792.51 8066.49 19364.56 18591.96 8643.88 20598.10 2354.61 21090.65 5789.44 142
EPMVS78.49 12375.98 13186.02 5691.21 7969.68 2980.23 24491.20 12275.25 8272.48 11678.11 21954.65 12693.69 16157.66 20483.04 10294.69 51
GA-MVS78.33 12476.23 12884.65 8883.65 18266.30 10891.44 12290.14 15576.01 7470.32 13184.02 15742.50 20894.72 11970.98 11277.00 13792.94 100
cascas78.18 12575.77 13485.41 7187.14 14369.11 3392.96 7091.15 12466.71 19170.47 12986.07 14037.49 22996.48 8070.15 11979.80 11790.65 130
UniMVSNet_NR-MVSNet78.15 12677.55 11479.98 17384.46 17260.26 19892.25 8993.20 5577.50 5868.88 15486.61 13466.10 3592.13 19466.38 14662.55 21687.54 155
FC-MVSNet-test77.99 12778.08 10777.70 20784.89 16655.51 23890.27 15093.75 3576.87 6466.80 17887.59 12765.71 3990.23 21662.89 17873.94 14987.37 158
XXY-MVS77.94 12876.44 12682.43 12882.60 18864.44 13592.01 9891.83 10073.59 10870.00 13585.82 14254.43 13094.76 11669.63 12268.02 18388.10 153
MS-PatchMatch77.90 12976.50 12582.12 14385.99 15369.95 2491.75 11792.70 7173.97 9962.58 20084.44 15541.11 21495.78 9563.76 16892.17 3980.62 249
FMVSNet377.73 13076.04 13082.80 11691.20 8068.99 3691.87 11091.99 9373.35 11167.04 17483.19 16356.62 10292.14 19359.80 19369.34 17287.28 162
UniMVSNet (Re)77.58 13176.78 12379.98 17384.11 17860.80 18891.76 11593.17 5876.56 7169.93 13884.78 15163.32 6092.36 19064.89 16062.51 21886.78 170
PatchmatchNetpermissive77.46 13274.63 14685.96 5889.55 10170.35 2079.97 24889.55 17372.23 12370.94 12776.91 22857.03 9392.79 17954.27 21281.17 11194.74 50
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v2v48277.42 13375.65 13982.73 11880.38 21667.13 7091.85 11190.23 14975.09 8369.37 14683.39 16153.79 13894.44 12471.77 10265.00 20386.63 174
v1neww77.39 13475.71 13682.44 12580.69 20466.83 7991.94 10690.18 15274.19 9369.60 14082.51 16754.99 12194.44 12471.68 10465.60 19386.05 182
v7new77.39 13475.71 13682.44 12580.69 20466.83 7991.94 10690.18 15274.19 9369.60 14082.51 16754.99 12194.44 12471.68 10465.60 19386.05 182
v677.39 13475.71 13682.44 12580.67 20666.82 8191.94 10690.18 15274.19 9369.60 14082.50 17055.00 12094.44 12471.68 10465.60 19386.05 182
v177.29 13775.57 14082.42 13080.61 21466.73 8891.96 10290.42 14174.41 8669.46 14382.12 17755.14 11594.40 12971.00 10965.04 20086.13 178
v114177.28 13875.57 14082.42 13080.63 21066.73 8891.96 10290.42 14174.41 8669.46 14382.12 17755.09 11794.40 12970.99 11165.05 19986.12 179
divwei89l23v2f11277.28 13875.57 14082.42 13080.62 21166.72 9091.96 10290.42 14174.41 8669.46 14382.12 17755.11 11694.40 12971.00 10965.04 20086.12 179
PS-MVSNAJss77.26 14076.31 12780.13 17180.64 20959.16 21590.63 14591.06 12772.80 11668.58 15984.57 15453.55 14093.96 15272.97 9171.96 16087.27 163
gg-mvs-nofinetune77.18 14174.31 15285.80 6191.42 7768.36 4571.78 26594.72 1649.61 26477.12 8045.92 28677.41 193.98 15167.62 13793.16 3095.05 43
MVP-PatchMatch77.12 14276.23 12879.79 17981.72 19466.34 10789.29 16390.88 13170.56 15662.01 20282.88 16449.34 17494.13 14165.55 15693.80 2278.88 260
X-MVStestdata76.86 14374.13 15585.05 7893.22 4463.78 14892.92 7392.66 7473.99 9778.18 6710.19 29955.25 11097.41 4179.16 6391.58 4693.95 77
DU-MVS76.86 14375.84 13379.91 17582.96 18660.26 19891.26 13091.54 10976.46 7268.88 15486.35 13656.16 10492.13 19466.38 14662.55 21687.35 160
v776.83 14575.01 14482.29 13680.35 21766.70 9291.68 11989.97 16073.47 11069.22 14882.22 17452.52 14994.43 12869.73 12165.96 19285.74 193
WR-MVS76.76 14675.74 13579.82 17884.60 16862.27 17592.60 8492.51 8076.06 7367.87 16685.34 14556.76 9890.24 21562.20 18363.69 21586.94 168
v114476.73 14774.88 14582.27 13780.23 22466.60 9691.68 11990.21 15173.69 10569.06 15181.89 18252.73 14894.40 12969.21 12765.23 19685.80 189
IterMVS-LS76.49 14875.18 14380.43 16784.49 17162.74 16990.64 14388.80 19272.40 12065.16 18181.72 18460.98 7492.27 19267.74 13564.65 20786.29 176
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
V4276.46 14974.55 14982.19 14179.14 23767.82 5390.26 15189.42 17773.75 10468.63 15881.89 18251.31 16094.09 14371.69 10364.84 20484.66 205
Test476.45 15073.45 16485.45 7076.07 25867.61 5988.38 17790.83 13276.71 6853.06 24579.65 21231.61 25194.35 13378.47 6886.22 8394.40 61
v14876.19 15174.47 15181.36 15480.05 22864.44 13591.75 11790.23 14973.68 10667.13 17380.84 19655.92 10893.86 15868.95 12961.73 22485.76 192
FMVSNet276.07 15274.01 15782.26 13988.85 11367.66 5791.33 12891.61 10770.84 15365.98 17982.25 17348.03 18292.00 19858.46 19968.73 17887.10 164
v14419276.05 15374.03 15682.12 14379.50 23366.55 10091.39 12489.71 17172.30 12268.17 16281.33 18851.75 15694.03 14967.94 13364.19 21085.77 190
NR-MVSNet76.05 15374.59 14780.44 16682.96 18662.18 17690.83 13891.73 10277.12 6160.96 20486.35 13659.28 8091.80 20060.74 18961.34 22787.35 160
v119275.98 15573.92 15882.15 14279.73 22966.24 11091.22 13289.75 16572.67 11768.49 16081.42 18649.86 17094.27 13767.08 14165.02 20285.95 186
TranMVSNet+NR-MVSNet75.86 15674.52 15079.89 17682.44 18960.64 19491.37 12791.37 11876.63 6967.65 16886.21 13952.37 15291.55 20561.84 18460.81 23087.48 157
LPG-MVS_test75.82 15774.58 14879.56 18484.31 17559.37 21290.44 14689.73 16869.49 16664.86 18288.42 11838.65 22194.30 13572.56 9672.76 15485.01 202
GBi-Net75.65 15873.83 15981.10 15988.85 11365.11 12490.01 15290.32 14470.84 15367.04 17480.25 20548.03 18291.54 20659.80 19369.34 17286.64 171
test175.65 15873.83 15981.10 15988.85 11365.11 12490.01 15290.32 14470.84 15367.04 17480.25 20548.03 18291.54 20659.80 19369.34 17286.64 171
v192192075.63 16073.49 16382.06 14779.38 23466.35 10691.07 13589.48 17471.98 13067.99 16381.22 19149.16 17893.90 15566.56 14564.56 20885.92 188
ACMP71.68 1075.58 16174.23 15479.62 18284.97 16559.64 20890.80 13989.07 18870.39 15962.95 19787.30 13138.28 22493.87 15672.89 9271.45 16385.36 199
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
v875.35 16273.26 16581.61 15280.67 20666.82 8189.54 16089.27 18071.65 14163.30 19580.30 20454.99 12194.06 14567.33 14062.33 21983.94 207
tpm cat175.30 16372.21 17684.58 9088.52 12067.77 5478.16 25888.02 20761.88 22368.45 16176.37 22960.65 7594.03 14953.77 21574.11 14791.93 119
PLCcopyleft68.80 1475.23 16473.68 16179.86 17792.93 5158.68 21990.64 14388.30 20260.90 22764.43 18890.53 10142.38 20994.57 12256.52 20576.54 13886.33 175
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v124075.21 16572.98 16781.88 14879.20 23666.00 11390.75 14089.11 18671.63 14267.41 17181.22 19147.36 18993.87 15665.46 15764.72 20685.77 190
dp75.01 16672.09 17783.76 10189.28 10466.22 11179.96 24989.75 16571.16 14967.80 16777.19 22651.81 15592.54 18550.39 22471.44 16492.51 110
TAPA-MVS70.22 1274.94 16773.53 16279.17 19690.40 8952.07 24989.19 16689.61 17262.69 21870.07 13492.67 7648.89 17994.32 13438.26 26279.97 11691.12 126
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v1074.77 16872.54 17381.46 15380.33 22166.71 9189.15 16789.08 18770.94 15163.08 19679.86 20952.52 14994.04 14865.70 15562.17 22083.64 209
XVG-OURS-SEG-HR74.70 16973.08 16679.57 18378.25 24457.33 22980.49 24087.32 21563.22 21468.76 15690.12 10944.89 20391.59 20470.55 11774.09 14889.79 138
ACMM69.62 1374.34 17072.73 16979.17 19684.25 17757.87 22390.36 14989.93 16163.17 21565.64 18086.04 14137.79 22794.10 14265.89 15271.52 16285.55 196
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA74.31 17172.30 17580.32 16891.49 7661.66 18090.85 13780.72 25856.67 24963.85 19290.64 9846.75 19290.84 21053.79 21475.99 14188.47 148
XVG-OURS74.25 17272.46 17479.63 18178.45 24257.59 22780.33 24287.39 21263.86 21068.76 15689.62 11240.50 21691.72 20269.00 12874.25 14689.58 141
CVMVSNet74.04 17374.27 15373.33 23685.33 16043.94 27589.53 16188.39 20054.33 25570.37 13090.13 10749.17 17784.05 25461.83 18579.36 11991.99 118
Baseline_NR-MVSNet73.99 17472.83 16877.48 21180.78 20059.29 21491.79 11384.55 23868.85 17368.99 15280.70 19756.16 10492.04 19762.67 18160.98 22981.11 242
CR-MVSNet73.79 17570.82 18282.70 11983.15 18467.96 5170.25 26884.00 24373.67 10769.97 13672.41 24957.82 8889.48 23152.99 21973.13 15290.64 131
test_djsdf73.76 17672.56 17277.39 21377.00 25253.93 24389.07 16990.69 13665.80 19663.92 19082.03 18043.14 20792.67 18372.83 9368.53 17985.57 195
jajsoiax73.05 17771.51 17977.67 20877.46 24954.83 24088.81 17290.04 15969.13 17062.85 19883.51 15931.16 25492.75 18070.83 11369.80 16885.43 197
LCM-MVSNet-Re72.93 17871.84 17876.18 22188.49 12148.02 26680.07 24770.17 28273.96 10052.25 24880.09 20849.98 16888.24 24067.35 13884.23 9892.28 115
tpmvs72.88 17969.76 18882.22 14090.98 8167.05 7278.22 25788.30 20263.10 21664.35 18974.98 23655.09 11794.27 13743.25 24369.57 17185.34 200
test0.0.03 172.76 18072.71 17072.88 24080.25 22347.99 26791.22 13289.45 17571.51 14662.51 20187.66 12653.83 13685.06 25150.16 22567.84 18685.58 194
mvs_tets72.71 18171.11 18077.52 20977.41 25054.52 24188.45 17689.76 16468.76 17462.70 19983.26 16229.49 25892.71 18170.51 11869.62 17085.34 200
FMVSNet172.71 18169.91 18681.10 15983.60 18365.11 12490.01 15290.32 14463.92 20963.56 19480.25 20536.35 23791.54 20654.46 21166.75 18986.64 171
IterMVS72.65 18370.83 18178.09 20582.17 19062.96 16287.64 19186.28 22771.56 14460.44 20578.85 21745.42 20086.66 24663.30 17261.83 22184.65 206
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
pm-mvs172.28 18469.97 18479.20 19578.43 24361.48 18488.92 17188.01 20865.63 19961.92 20379.10 21645.18 20190.70 21158.24 20064.29 20985.43 197
PatchMatch-RL72.06 18569.98 18378.28 20089.51 10255.70 23783.49 22083.39 24961.24 22663.72 19382.76 16534.77 24193.03 17153.37 21877.59 13286.12 179
v1871.94 18669.43 18979.50 18680.74 20166.82 8188.16 17986.66 21768.95 17255.55 22872.66 24455.03 11990.15 21864.78 16152.30 25581.54 230
v1671.81 18769.26 19079.47 18780.66 20866.81 8487.93 18386.63 21968.70 17655.35 22972.51 24554.75 12490.12 22064.51 16352.28 25681.47 231
PVSNet_068.08 1571.81 18768.32 20082.27 13784.68 16762.31 17488.68 17390.31 14775.84 7557.93 22080.65 19937.85 22694.19 14069.94 12029.05 28890.31 134
v1771.77 18969.20 19179.46 18880.62 21166.81 8487.93 18386.63 21968.71 17555.25 23072.49 24654.72 12590.11 22164.50 16451.97 25781.47 231
MIMVSNet71.64 19068.44 19881.23 15781.97 19364.44 13573.05 26488.80 19269.67 16564.59 18474.79 23732.79 24587.82 24153.99 21376.35 13991.42 123
v1571.40 19168.75 19379.35 18980.39 21566.70 9287.57 19286.64 21868.66 17754.68 23272.00 25354.50 12789.98 22363.69 16950.66 26281.38 235
v7n71.31 19268.65 19479.28 19176.40 25460.77 19086.71 20489.45 17564.17 20858.77 21578.24 21844.59 20493.54 16357.76 20261.75 22383.52 212
V1471.29 19368.61 19579.31 19080.34 21966.65 9487.39 19386.61 22168.41 18154.49 23471.91 25454.25 13289.96 22463.50 17050.62 26381.33 237
V971.16 19468.46 19779.27 19280.26 22266.60 9687.21 19686.56 22268.17 18254.26 23771.81 25654.00 13489.93 22563.28 17350.57 26481.27 238
testing_271.09 19567.32 20782.40 13369.82 27566.52 10283.64 21890.77 13472.21 12445.12 26971.07 26427.60 26293.74 15975.71 8169.96 16786.95 167
v1171.05 19668.32 20079.23 19380.34 21966.57 9987.01 19986.55 22368.11 18354.40 23571.66 25852.94 14689.91 22662.71 18051.12 26081.21 239
v1271.02 19768.29 20279.22 19480.18 22566.53 10187.01 19986.54 22467.90 18454.00 24071.70 25753.66 13989.91 22663.09 17550.51 26581.21 239
v1370.90 19868.15 20379.15 19880.08 22666.45 10386.83 20386.50 22567.62 18753.78 24271.61 25953.51 14389.87 22862.89 17850.50 26681.14 241
F-COLMAP70.66 19968.44 19877.32 21486.37 14855.91 23688.00 18186.32 22656.94 24757.28 22488.07 12433.58 24392.49 18651.02 22268.37 18083.55 210
WR-MVS_H70.59 20069.94 18572.53 24281.03 19851.43 25287.35 19492.03 9267.38 18860.23 20680.70 19755.84 10983.45 25946.33 23858.58 23982.72 224
v74870.55 20167.97 20478.27 20175.75 25958.78 21786.29 20889.25 18165.12 20456.66 22677.17 22745.05 20292.95 17258.13 20158.33 24083.10 220
CP-MVSNet70.50 20269.91 18672.26 24580.71 20351.00 25587.23 19590.30 14867.84 18559.64 20882.69 16650.23 16782.30 26651.28 22159.28 23483.46 214
TransMVSNet (Re)70.07 20367.66 20577.31 21580.62 21159.13 21691.78 11484.94 23665.97 19560.08 20780.44 20150.78 16191.87 19948.84 23045.46 27580.94 244
DP-MVS69.90 20466.48 21080.14 17095.36 1362.93 16389.56 15876.11 26650.27 26357.69 22385.23 14739.68 21895.73 9833.35 27171.05 16681.78 229
PS-CasMVS69.86 20569.13 19272.07 24880.35 21750.57 25787.02 19889.75 16567.27 18959.19 21082.28 17246.58 19582.24 26750.69 22359.02 23783.39 216
v5269.80 20667.01 20978.15 20371.84 26860.10 20282.02 23187.39 21264.48 20557.80 22175.97 23241.47 21392.90 17663.00 17659.13 23681.45 233
V469.80 20667.02 20878.15 20371.86 26760.10 20282.02 23187.39 21264.48 20557.78 22275.98 23141.49 21292.90 17663.00 17659.16 23581.44 234
RPMNet69.58 20865.21 21882.70 11983.15 18467.96 5170.25 26886.15 23046.83 27269.97 13665.10 27256.48 10389.48 23135.79 26873.13 15290.64 131
MSDG69.54 20965.73 21380.96 16385.11 16463.71 15284.19 21683.28 25056.95 24654.50 23384.03 15631.50 25296.03 9042.87 24869.13 17583.14 219
PEN-MVS69.46 21068.56 19672.17 24779.27 23549.71 26186.90 20189.24 18267.24 19059.08 21182.51 16747.23 19083.54 25848.42 23257.12 24183.25 217
LS3D69.17 21166.40 21177.50 21091.92 6956.12 23585.12 21180.37 25946.96 27056.50 22787.51 12937.25 23093.71 16032.52 27679.40 11882.68 225
PatchT69.11 21265.37 21780.32 16882.07 19263.68 15367.96 27687.62 21150.86 26269.37 14665.18 27157.09 9188.53 23841.59 25266.60 19088.74 144
ACMH63.93 1768.62 21364.81 21980.03 17285.22 16263.25 15887.72 18984.66 23760.83 22851.57 25179.43 21427.29 26394.96 11141.76 25064.84 20481.88 228
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
EG-PatchMatch MVS68.55 21465.41 21677.96 20678.69 24162.93 16389.86 15689.17 18360.55 22950.27 25577.73 22122.60 27194.06 14547.18 23672.65 15676.88 267
ADS-MVSNet68.54 21564.38 22381.03 16288.06 13166.90 7868.01 27484.02 24257.57 24164.48 18669.87 26538.68 21989.21 23440.87 25467.89 18486.97 165
DTE-MVSNet68.46 21667.33 20671.87 25177.94 24749.00 26586.16 20988.58 19866.36 19458.19 21882.21 17546.36 19683.87 25744.97 24155.17 24882.73 223
XVG-ACMP-BASELINE68.04 21765.53 21575.56 22274.06 26452.37 24778.43 25485.88 23362.03 22158.91 21481.21 19320.38 27591.15 20960.69 19068.18 18183.16 218
FMVSNet568.04 21765.66 21475.18 22484.43 17357.89 22283.54 21986.26 22861.83 22453.64 24373.30 24137.15 23385.08 25048.99 22961.77 22282.56 226
ACMH+65.35 1667.65 21964.55 22076.96 21784.59 16957.10 23088.08 18080.79 25758.59 24053.00 24681.09 19526.63 26592.95 17246.51 23761.69 22580.82 245
Anonymous2023120667.53 22065.78 21272.79 24174.95 26047.59 26988.23 17887.32 21561.75 22558.07 21977.29 22437.79 22787.29 24442.91 24663.71 21483.48 213
Patchmtry67.53 22063.93 22478.34 19982.12 19164.38 13868.72 27184.00 24348.23 26959.24 20972.41 24957.82 8889.27 23346.10 23956.68 24581.36 236
USDC67.43 22264.51 22176.19 22077.94 24755.29 23978.38 25585.00 23573.17 11248.36 25980.37 20221.23 27492.48 18752.15 22064.02 21180.81 246
ADS-MVSNet266.90 22363.44 22677.26 21688.06 13160.70 19368.01 27475.56 27157.57 24164.48 18669.87 26538.68 21984.10 25340.87 25467.89 18486.97 165
CMPMVSbinary48.56 2166.77 22464.41 22273.84 23370.65 27350.31 25877.79 25985.73 23445.54 27544.76 27082.14 17635.40 23990.14 21963.18 17474.54 14581.07 243
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft61.12 1866.39 22562.92 23076.80 21976.51 25357.77 22489.22 16483.41 24855.48 25353.86 24177.84 22026.28 26693.95 15334.90 26968.76 17778.68 262
LTVRE_ROB59.60 1966.27 22663.54 22574.45 22884.00 18051.55 25167.08 27783.53 24658.78 23854.94 23180.31 20334.54 24293.23 16840.64 25668.03 18278.58 263
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
JIA-IIPM66.06 22762.45 23376.88 21881.42 19754.45 24257.49 28788.67 19449.36 26563.86 19146.86 28556.06 10790.25 21449.53 22868.83 17685.95 186
UnsupCasMVSNet_eth65.79 22863.10 22873.88 23270.71 27250.29 25981.09 23889.88 16272.58 11849.25 25774.77 23832.57 24787.43 24355.96 20841.04 27983.90 208
pmmvs-eth3d65.53 22962.32 23475.19 22369.39 27759.59 20982.80 22983.43 24762.52 21951.30 25372.49 24632.86 24487.16 24555.32 20950.73 26178.83 261
SixPastTwentyTwo64.92 23061.78 23774.34 23178.74 24049.76 26083.42 22379.51 26262.86 21750.27 25577.35 22230.92 25690.49 21245.89 24047.06 27282.78 221
Patchmatch-RL test64.87 23161.69 23874.44 22971.22 27053.93 24370.07 27071.54 28169.22 16956.79 22574.43 23919.77 27888.61 23569.53 12452.61 25480.79 247
OurMVSNet-221017-064.68 23262.17 23572.21 24676.08 25747.35 27080.67 23981.02 25656.19 25051.60 25079.66 21127.05 26488.56 23753.60 21653.63 25280.71 248
test_040264.54 23361.09 23974.92 22584.10 17960.75 19187.95 18279.71 26152.03 25852.41 24777.20 22532.21 24991.64 20323.14 28561.03 22872.36 274
testgi64.48 23462.87 23169.31 25471.24 26940.62 28085.49 21079.92 26065.36 20154.18 23883.49 16023.74 26984.55 25241.60 25160.79 23182.77 222
RPSCF64.24 23561.98 23671.01 25276.10 25645.00 27375.83 26275.94 26846.94 27158.96 21384.59 15331.40 25382.00 26847.76 23460.33 23386.04 185
test235664.16 23663.28 22766.81 26069.37 27839.86 28387.76 18886.02 23159.83 23353.54 24473.23 24234.94 24080.67 27039.66 25865.20 19779.89 254
EU-MVSNet64.01 23763.01 22967.02 25974.40 26238.86 28583.27 22486.19 22945.11 27654.27 23681.15 19436.91 23680.01 27248.79 23157.02 24282.19 227
test20.0363.83 23862.65 23267.38 25870.58 27439.94 28186.57 20684.17 24063.29 21351.86 24977.30 22337.09 23482.47 26438.87 26154.13 25179.73 256
MDA-MVSNet_test_wron63.78 23960.16 24074.64 22678.15 24560.41 19583.49 22084.03 24156.17 25239.17 28071.59 26137.22 23183.24 26242.87 24848.73 26980.26 252
YYNet163.76 24060.14 24174.62 22778.06 24660.19 20183.46 22283.99 24556.18 25139.25 27971.56 26237.18 23283.34 26042.90 24748.70 27080.32 251
K. test v363.09 24159.61 24373.53 23576.26 25549.38 26383.27 22477.15 26564.35 20747.77 26072.32 25128.73 25987.79 24249.93 22736.69 28383.41 215
COLMAP_ROBcopyleft57.96 2062.98 24259.65 24272.98 23981.44 19653.00 24683.75 21775.53 27248.34 26848.81 25881.40 18724.14 26790.30 21332.95 27360.52 23275.65 270
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
AllTest61.66 24358.06 24472.46 24379.57 23051.42 25380.17 24568.61 28451.25 26045.88 26481.23 18919.86 27686.58 24738.98 25957.01 24379.39 258
UnsupCasMVSNet_bld61.60 24457.71 24573.29 23768.73 27951.64 25078.61 25389.05 18957.20 24546.11 26361.96 27728.70 26088.60 23650.08 22638.90 28179.63 257
MDA-MVSNet-bldmvs61.54 24557.70 24673.05 23879.53 23257.00 23183.08 22781.23 25457.57 24134.91 28472.45 24832.79 24586.26 24935.81 26741.95 27875.89 269
TinyColmap60.32 24656.42 25172.00 24978.78 23953.18 24578.36 25675.64 26952.30 25741.59 27875.82 23414.76 28388.35 23935.84 26654.71 25074.46 271
MVS-HIRNet60.25 24755.55 25274.35 23084.37 17456.57 23271.64 26674.11 27434.44 28745.54 26842.24 28931.11 25589.81 22940.36 25776.10 14076.67 268
MIMVSNet160.16 24857.33 24868.67 25569.71 27644.13 27478.92 25284.21 23955.05 25444.63 27171.85 25523.91 26881.54 26932.63 27555.03 24980.35 250
PM-MVS59.40 24956.59 25067.84 25663.63 28141.86 27876.76 26063.22 29059.01 23751.07 25472.27 25211.72 28683.25 26161.34 18650.28 26778.39 264
testus59.36 25057.51 24764.90 26366.72 28037.56 28684.98 21281.09 25557.46 24447.72 26172.76 24311.43 28878.78 27836.56 26358.91 23878.36 265
testpf57.17 25156.93 24957.88 27079.13 23842.40 27634.23 29485.97 23252.64 25647.66 26266.50 26836.33 23879.65 27453.60 21656.31 24651.60 287
DSMNet-mixed56.78 25254.44 25463.79 26563.21 28229.44 29464.43 28064.10 28942.12 28451.32 25271.60 26031.76 25075.04 28136.23 26565.20 19786.87 169
LP56.71 25351.64 25771.91 25080.08 22660.33 19761.72 28275.61 27043.87 28143.76 27460.30 27930.46 25784.05 25422.94 28646.06 27471.34 275
111156.66 25454.98 25361.69 26661.99 28531.38 29079.81 25083.17 25145.66 27341.94 27665.44 26941.50 21079.56 27527.64 28047.68 27174.14 272
test123567855.73 25552.74 25564.68 26460.16 28735.56 28881.65 23481.46 25351.27 25938.93 28162.82 27517.44 27978.58 27930.87 27850.09 26879.89 254
pmmvs355.51 25651.50 25967.53 25757.90 28950.93 25680.37 24173.66 27640.63 28544.15 27364.75 27316.30 28078.97 27744.77 24240.98 28072.69 273
TDRefinement55.28 25751.58 25866.39 26159.53 28846.15 27276.23 26172.80 27744.60 27942.49 27576.28 23015.29 28182.39 26533.20 27243.75 27670.62 277
HyFIR lowres test54.68 25850.80 26066.34 26274.15 26349.02 26453.99 28962.10 29244.68 27837.46 28263.99 27413.84 28580.23 27143.01 24563.99 21269.76 279
LF4IMVS54.01 25952.12 25659.69 26862.41 28439.91 28268.59 27268.28 28642.96 28244.55 27275.18 23514.09 28468.39 28541.36 25351.68 25870.78 276
N_pmnet50.55 26049.11 26254.88 27477.17 2514.02 30684.36 2152.00 30348.59 26645.86 26668.82 26732.22 24882.80 26331.58 27751.38 25977.81 266
new_pmnet49.31 26146.44 26357.93 26962.84 28340.74 27968.47 27362.96 29136.48 28635.09 28357.81 28114.97 28272.18 28232.86 27446.44 27360.88 285
test1235647.51 26244.82 26455.56 27252.53 29021.09 30171.45 26776.03 26744.14 28030.69 28558.18 2809.01 29176.14 28026.95 28234.43 28669.46 280
testmv46.98 26343.53 26557.35 27147.75 29530.41 29374.99 26377.69 26342.84 28328.03 28653.36 2828.18 29271.18 28324.36 28434.55 28470.46 278
.test124546.52 26449.68 26137.02 28361.99 28531.38 29079.81 25083.17 25145.66 27341.94 27665.44 26941.50 21079.56 27527.64 2800.01 3000.13 299
FPMVS45.64 26543.10 26653.23 27651.42 29236.46 28764.97 27971.91 27929.13 28927.53 28761.55 2789.83 28965.01 28916.00 29155.58 24758.22 286
no-one44.13 26638.39 26761.34 26745.91 29741.94 27761.67 28375.07 27345.05 27720.07 29040.68 29211.58 28779.82 27330.18 27915.30 29162.26 284
LCM-MVSNet40.54 26735.79 26854.76 27536.92 30130.81 29251.41 29069.02 28322.07 29124.63 28845.37 2874.56 29765.81 28733.67 27034.50 28567.67 281
ANet_high40.27 26835.20 26955.47 27334.74 30234.47 28963.84 28171.56 28048.42 26718.80 29241.08 2909.52 29064.45 29020.18 2888.66 29867.49 282
PMMVS237.93 26933.61 27050.92 27746.31 29624.76 29960.55 28650.05 29528.94 29020.93 28947.59 2844.41 29865.13 28825.14 28318.55 29062.87 283
Gipumacopyleft34.91 27031.44 27245.30 27970.99 27139.64 28419.85 29772.56 27820.10 29416.16 29421.47 2965.08 29671.16 28413.07 29243.70 27725.08 293
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PNet_i23d32.77 27129.98 27341.11 28148.05 29329.17 29565.82 27850.02 29621.42 29214.74 29537.19 2931.11 30155.11 29219.75 28911.77 29339.06 289
PMVScopyleft26.43 2231.84 27228.16 27442.89 28025.87 30527.58 29750.92 29149.78 29721.37 29314.17 29640.81 2912.01 29966.62 2869.61 29438.88 28234.49 292
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
pcd1.5k->3k31.17 27331.85 27129.12 28581.48 1950.00 3090.00 29891.79 1010.00 3030.00 3040.00 30341.05 2150.00 3010.00 30072.34 15987.36 159
wuykxyi23d29.03 27423.09 27946.84 27831.67 30428.82 29643.46 29257.72 29414.39 2977.52 30020.84 2970.64 30260.29 29121.57 28710.04 29551.40 288
E-PMN24.61 27524.00 27626.45 28643.74 29818.44 30360.86 28439.66 29815.11 2959.53 29822.10 2956.52 29446.94 2948.31 29510.14 29413.98 295
MVEpermissive24.84 2324.35 27619.77 28038.09 28234.56 30326.92 29826.57 29538.87 30011.73 29811.37 29727.44 2941.37 30050.42 29311.41 29314.60 29236.93 290
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
EMVS23.76 27723.20 27825.46 28741.52 29916.90 30460.56 28538.79 30114.62 2968.99 29920.24 2987.35 29345.82 2957.25 2969.46 29613.64 296
DUST3R22.26 27823.75 27717.80 2885.23 30612.06 30535.26 29339.48 2992.82 30018.94 29144.20 28822.23 27224.64 29736.30 2649.31 29716.69 294
cdsmvs_eth3d_5k19.86 27926.47 2750.00 2920.00 3090.00 3090.00 29893.45 440.00 3030.00 30495.27 2449.56 1720.00 3010.00 3000.00 3020.00 301
wuyk23d11.30 28010.95 28112.33 28948.05 29319.89 30225.89 2961.92 3043.58 2993.12 3011.37 3000.64 30215.77 2986.23 2977.77 2991.35 297
ab-mvs-re7.91 28110.55 2820.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 30494.95 320.00 3060.00 3010.00 3000.00 3020.00 301
testmvs7.23 2829.62 2830.06 2910.04 3070.02 30884.98 2120.02 3050.03 3010.18 3021.21 3010.01 3050.02 2990.14 2980.01 3000.13 299
test1236.92 2839.21 2840.08 2900.03 3080.05 30781.65 2340.01 3060.02 3020.14 3030.85 3020.03 3040.02 2990.12 2990.00 3020.16 298
pcd_1.5k_mvsjas4.46 2845.95 2850.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 30353.55 1400.00 3010.00 3000.00 3020.00 301
sosnet-low-res0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3020.00 301
sosnet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3020.00 301
uncertanet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3020.00 301
Regformer0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3020.00 301
uanet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3020.00 301
MTAPA38.87 300
gm-plane-assit88.42 12567.04 7378.62 4691.83 8897.37 4376.57 78
test9_res89.41 694.96 795.29 32
TEST994.18 2667.28 6594.16 3393.51 4271.75 14085.52 2095.33 2168.01 2097.27 50
Patchmatch-test172.70 26656.44 23357.17 28874.00 27558.57 21771.23 26321.52 27352.64 253
Patchmatch-test85.80 15862.10 17762.79 276
test_894.19 2567.19 6794.15 3593.42 4671.87 13285.38 2295.35 2068.19 1896.95 65
agg_prior286.41 2594.75 1395.33 29
agg_prior94.16 3066.97 7493.31 5084.49 2896.75 73
TestCases72.46 24379.57 23051.42 25368.61 28451.25 26045.88 26481.23 18919.86 27686.58 24738.98 25957.01 24379.39 258
test_prior467.18 6993.92 47
test_prior295.10 2475.40 8085.25 2495.61 1667.94 2187.47 1894.77 11
test_prior86.42 4694.71 2167.35 6393.10 6096.84 7095.05 43
旧先验292.00 10059.37 23687.54 993.47 16575.39 83
新几何291.41 123
新几何184.73 8592.32 6164.28 14391.46 11459.56 23479.77 5392.90 7456.95 9696.57 7863.40 17192.91 3293.34 87
旧先验191.94 6860.74 19291.50 11294.36 4765.23 4191.84 4194.55 54
无先验92.71 7892.61 7762.03 22197.01 5866.63 14393.97 76
原ACMM292.01 98
原ACMM184.42 9293.21 4664.27 14493.40 4765.39 20079.51 5692.50 7758.11 8796.69 7565.27 15893.96 2092.32 113
test22289.77 9761.60 18189.55 15989.42 17756.83 24877.28 7892.43 8052.76 14791.14 5393.09 95
testdata296.09 8761.26 187
segment_acmp65.94 36
testdata81.34 15589.02 11157.72 22589.84 16358.65 23985.32 2394.09 5357.03 9393.28 16769.34 12690.56 5993.03 97
testdata189.21 16577.55 57
test1287.09 3194.60 2368.86 3892.91 6682.67 3765.44 4097.55 3793.69 2494.84 48
plane_prior786.94 14461.51 182
plane_prior687.23 14162.32 17350.66 162
plane_prior591.31 11995.55 10476.74 7678.53 12688.39 149
plane_prior489.14 114
plane_prior361.95 17879.09 3872.53 114
plane_prior293.13 6778.81 43
plane_prior187.15 142
plane_prior62.42 17193.85 5079.38 3178.80 125
abl_689.85 9558.34 22090.07 15777.71 7193.08 6747.65 18889.99 137
n20.00 307
nn0.00 307
door-mid66.01 288
lessismore_v073.72 23472.93 26547.83 26861.72 29345.86 26673.76 24028.63 26189.81 22947.75 23531.37 28783.53 211
LGP-MVS_train79.56 18484.31 17559.37 21289.73 16869.49 16664.86 18288.42 11838.65 22194.30 13572.56 9672.76 15485.01 202
test1193.01 62
door66.57 287
HQP5-MVS63.66 154
HQP-NCC87.54 13794.06 3979.80 2774.18 99
ACMP_Plane87.54 13794.06 3979.80 2774.18 99
BP-MVS