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 bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
DVP-MVS++.90.23 191.01 187.89 2494.34 2971.25 6395.06 194.23 578.38 3392.78 495.74 682.45 397.49 389.42 496.68 294.95 5
SED-MVS90.08 290.85 287.77 2695.30 270.98 7093.57 794.06 1277.24 5193.10 195.72 882.99 197.44 589.07 996.63 494.88 9
DVP-MVScopyleft89.60 390.35 387.33 4595.27 571.25 6393.49 992.73 6577.33 4992.12 995.78 480.98 997.40 789.08 796.41 1293.33 79
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
DPE-MVScopyleft89.48 589.98 488.01 1494.80 1172.69 3291.59 4294.10 1075.90 8892.29 795.66 1081.67 697.38 987.44 2096.34 1593.95 48
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
MSP-MVS89.51 489.91 588.30 994.28 3273.46 1892.90 1694.11 880.27 1291.35 1494.16 4178.35 1396.77 2389.59 394.22 6494.67 18
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
APDe-MVS89.15 689.63 687.73 3094.49 2071.69 5893.83 493.96 1675.70 9291.06 1696.03 176.84 1597.03 1589.09 695.65 3294.47 25
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2293.63 2374.77 10992.29 795.97 274.28 3497.24 1188.58 1396.91 194.87 11
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
HPM-MVS++copyleft89.02 889.15 888.63 495.01 976.03 192.38 2592.85 6080.26 1387.78 3094.27 3675.89 1996.81 2287.45 1996.44 993.05 90
CNVR-MVS88.93 989.13 988.33 794.77 1273.82 990.51 6393.00 4780.90 988.06 2894.06 4676.43 1696.84 2088.48 1495.99 1994.34 31
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2280.19 1488.10 2794.80 1673.76 3997.11 1387.51 1895.82 2494.90 8
Skip Steuart: Steuart Systems R&D Blog.
SF-MVS88.46 1188.74 1187.64 3892.78 6971.95 5392.40 2294.74 275.71 9089.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 13
DeepPCF-MVS80.84 188.10 1288.56 1286.73 5692.24 7869.03 11089.57 8993.39 3577.53 4689.79 1894.12 4378.98 1296.58 3685.66 2795.72 2994.58 21
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4093.19 4077.87 3690.32 1794.00 4874.83 2793.78 14587.63 1794.27 6393.65 67
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
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4694.70 374.47 11688.86 2294.61 2175.23 2495.84 5886.62 2695.92 2194.78 15
9.1488.26 1592.84 6891.52 4594.75 173.93 12988.57 2494.67 1975.57 2395.79 5986.77 2395.76 28
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4792.35 8074.62 11388.90 2193.85 5275.75 2096.00 5387.80 1594.63 5395.04 3
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5693.59 2576.27 8188.14 2695.09 1571.06 5996.67 2887.67 1696.37 1494.09 40
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5192.83 6181.50 685.79 4593.47 5973.02 4597.00 1784.90 3394.94 4494.10 39
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6689.69 16874.31 11989.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 13
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6585.24 5194.32 3571.76 5496.93 1885.53 2995.79 2594.32 32
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3193.49 3074.75 11088.33 2594.43 3273.27 4297.02 1684.18 4994.84 4893.82 56
MP-MVS-pluss87.67 2287.72 2287.54 3993.64 5072.04 5289.80 8393.50 2875.17 10386.34 4095.29 1270.86 6096.00 5388.78 1296.04 1694.58 21
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2192.65 7077.57 4283.84 8094.40 3472.24 5096.28 4185.65 2895.30 4093.62 69
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 3992.83 6173.01 14788.58 2394.52 2373.36 4096.49 3784.26 4695.01 4292.70 101
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HFP-MVS87.58 2387.47 2587.94 1794.58 1673.54 1593.04 1293.24 3776.78 6784.91 5694.44 3070.78 6196.61 3284.53 4194.89 4693.66 62
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6194.05 1570.80 17887.59 3393.51 5677.57 1496.63 3183.31 5595.77 2694.72 17
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7392.02 9479.45 1985.88 4294.80 1668.07 8696.21 4386.69 2495.34 3693.23 82
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8772.45 4190.02 7794.37 471.76 16187.28 3494.27 3675.18 2596.08 4985.16 3095.77 2693.80 59
GST-MVS87.42 2887.26 2987.89 2494.12 3972.97 2592.39 2493.43 3376.89 6384.68 6293.99 5070.67 6496.82 2184.18 4995.01 4293.90 51
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8193.82 1973.07 14584.86 6192.89 7176.22 1796.33 3984.89 3595.13 4194.40 28
ACMMPR87.44 2687.23 3188.08 1394.64 1373.59 1293.04 1293.20 3976.78 6784.66 6594.52 2368.81 8496.65 2984.53 4194.90 4594.00 46
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7084.45 6894.52 2369.09 8096.70 2684.37 4494.83 5094.03 43
#test#87.33 3187.13 3387.94 1794.58 1673.54 1592.34 2793.24 3775.23 10084.91 5694.44 3070.78 6196.61 3283.75 5494.89 4693.66 62
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18292.02 9479.45 1985.88 4294.80 1668.07 8696.21 4386.69 2495.34 3693.23 82
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3293.33 3676.07 8483.81 8193.95 5169.77 7496.01 5285.15 3194.66 5294.32 32
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CP-MVS87.11 3586.92 3687.68 3794.20 3673.86 893.98 392.82 6476.62 7283.68 8294.46 2767.93 8895.95 5684.20 4894.39 5993.23 82
XVS87.18 3486.91 3788.00 1594.42 2273.33 2092.78 1792.99 4979.14 2283.67 8394.17 4067.45 9396.60 3483.06 6094.50 5694.07 41
DeepC-MVS79.81 287.08 3786.88 3887.69 3691.16 9172.32 4790.31 7193.94 1777.12 5782.82 9494.23 3972.13 5297.09 1484.83 3695.37 3593.65 67
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_prior386.73 3986.86 3986.33 6392.61 7469.59 10188.85 10892.97 5475.41 9684.91 5693.54 5474.28 3495.48 7183.31 5595.86 2293.91 49
SR-MVS86.73 3986.67 4086.91 5294.11 4072.11 5192.37 2692.56 7374.50 11486.84 3794.65 2067.31 9595.77 6084.80 3792.85 7492.84 99
DeepC-MVS_fast79.65 386.91 3886.62 4187.76 2993.52 5272.37 4491.26 4893.04 4376.62 7284.22 7393.36 6171.44 5796.76 2480.82 8395.33 3894.16 37
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
Regformer-286.63 4386.53 4286.95 5189.33 13171.24 6788.43 12392.05 9382.50 186.88 3690.09 12674.45 2995.61 6384.38 4390.63 9894.01 45
DROMVSNet86.01 5186.38 4384.91 9589.31 13666.27 16792.32 2893.63 2379.37 2184.17 7591.88 8569.04 8395.43 7583.93 5293.77 6793.01 93
Regformer-186.41 4786.33 4486.64 5889.33 13170.93 7588.43 12391.39 12282.14 386.65 3890.09 12674.39 3295.01 9783.97 5190.63 9893.97 47
mPP-MVS86.67 4286.32 4587.72 3294.41 2473.55 1392.74 1992.22 8776.87 6482.81 9594.25 3866.44 10296.24 4282.88 6494.28 6293.38 76
PGM-MVS86.68 4186.27 4687.90 2194.22 3573.38 1990.22 7493.04 4375.53 9483.86 7994.42 3367.87 9096.64 3082.70 6994.57 5593.66 62
test117286.20 5086.22 4786.12 7093.95 4269.89 9691.79 4192.28 8275.07 10486.40 3994.58 2265.00 12095.56 6684.34 4592.60 7792.90 97
train_agg86.43 4586.20 4887.13 4993.26 5672.96 2688.75 11391.89 10368.69 22585.00 5493.10 6574.43 3095.41 7784.97 3295.71 3093.02 92
CSCG86.41 4786.19 4987.07 5092.91 6572.48 3890.81 5793.56 2673.95 12783.16 8891.07 10775.94 1895.19 8879.94 9294.38 6093.55 72
PHI-MVS86.43 4586.17 5087.24 4690.88 9770.96 7292.27 3094.07 1172.45 15085.22 5291.90 8469.47 7696.42 3883.28 5895.94 2094.35 30
CANet86.45 4486.10 5187.51 4090.09 11170.94 7489.70 8792.59 7281.78 481.32 11191.43 9870.34 6697.23 1284.26 4693.36 7094.37 29
agg_prior186.22 4986.09 5286.62 5992.85 6671.94 5488.59 12091.78 10968.96 22084.41 6993.18 6474.94 2694.93 9884.75 3895.33 3893.01 93
APD-MVS_3200maxsize85.97 5285.88 5386.22 6792.69 7269.53 10391.93 3692.99 4973.54 13785.94 4194.51 2665.80 11295.61 6383.04 6292.51 7993.53 74
canonicalmvs85.91 5385.87 5486.04 7289.84 11769.44 10890.45 6993.00 4776.70 7188.01 2991.23 10173.28 4193.91 14081.50 7788.80 11994.77 16
MSLP-MVS++85.43 6185.76 5584.45 10991.93 8370.24 8790.71 5992.86 5977.46 4884.22 7392.81 7567.16 9792.94 18680.36 8894.35 6190.16 184
SR-MVS-dyc-post85.77 5585.61 5686.23 6693.06 6270.63 8291.88 3792.27 8373.53 13885.69 4694.45 2865.00 12095.56 6682.75 6591.87 8392.50 108
RE-MVS-def85.48 5793.06 6270.63 8291.88 3792.27 8373.53 13885.69 4694.45 2863.87 12782.75 6591.87 8392.50 108
Regformer-485.68 5885.45 5886.35 6288.95 15069.67 10088.29 13391.29 12481.73 585.36 4990.01 12972.62 4795.35 8483.28 5887.57 13194.03 43
ACMMPcopyleft85.89 5485.39 5987.38 4493.59 5172.63 3492.74 1993.18 4176.78 6780.73 12093.82 5364.33 12396.29 4082.67 7090.69 9793.23 82
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
TSAR-MVS + GP.85.71 5785.33 6086.84 5391.34 8972.50 3789.07 10187.28 23276.41 7485.80 4490.22 12474.15 3795.37 8381.82 7591.88 8292.65 105
alignmvs85.48 5985.32 6185.96 7489.51 12469.47 10589.74 8592.47 7476.17 8287.73 3291.46 9770.32 6793.78 14581.51 7688.95 11694.63 20
DELS-MVS85.41 6285.30 6285.77 7588.49 16867.93 13985.52 21493.44 3278.70 2983.63 8589.03 15874.57 2895.71 6280.26 9094.04 6593.66 62
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
CDPH-MVS85.76 5685.29 6387.17 4893.49 5371.08 6888.58 12192.42 7868.32 23084.61 6693.48 5772.32 4996.15 4879.00 9495.43 3494.28 34
CS-MVS-test85.02 6985.21 6484.46 10889.28 13865.70 17991.16 5293.56 2677.83 3881.80 10589.89 13170.67 6495.61 6380.39 8792.34 8092.06 125
casdiffmvs85.11 6785.14 6585.01 8987.20 20965.77 17887.75 14992.83 6177.84 3784.36 7292.38 7772.15 5193.93 13981.27 7990.48 10095.33 1
Regformer-385.23 6485.07 6685.70 7688.95 15069.01 11288.29 13389.91 16280.95 885.01 5390.01 12972.45 4894.19 12682.50 7187.57 13193.90 51
baseline84.93 7084.98 6784.80 10087.30 20765.39 18687.30 16092.88 5877.62 4084.04 7892.26 7871.81 5393.96 13381.31 7890.30 10295.03 4
CS-MVS84.53 7384.97 6883.23 15487.54 20163.27 22888.82 11093.50 2875.98 8783.07 8989.73 13670.29 6895.23 8682.07 7493.70 6991.18 148
UA-Net85.08 6884.96 6985.45 7892.07 8168.07 13789.78 8490.86 13782.48 284.60 6793.20 6369.35 7795.22 8771.39 16490.88 9693.07 89
abl_685.23 6484.95 7086.07 7192.23 7970.48 8690.80 5892.08 9273.51 14085.26 5094.16 4162.75 14495.92 5782.46 7291.30 9291.81 132
HPM-MVS_fast85.35 6384.95 7086.57 6193.69 4870.58 8592.15 3491.62 11373.89 13082.67 9794.09 4462.60 14595.54 6980.93 8192.93 7293.57 71
MVS_111021_HR85.14 6684.75 7286.32 6591.65 8672.70 3185.98 19790.33 15076.11 8382.08 10091.61 9271.36 5894.17 12881.02 8092.58 7892.08 124
ETV-MVS84.90 7284.67 7385.59 7789.39 12968.66 12688.74 11592.64 7179.97 1784.10 7685.71 24569.32 7895.38 8080.82 8391.37 9092.72 100
3Dnovator+77.84 485.48 5984.47 7488.51 691.08 9273.49 1793.18 1193.78 2180.79 1076.66 18493.37 6060.40 18896.75 2577.20 11493.73 6895.29 2
DPM-MVS84.93 7084.29 7586.84 5390.20 10973.04 2487.12 16493.04 4369.80 19882.85 9391.22 10273.06 4496.02 5176.72 12194.63 5391.46 142
EI-MVSNet-Vis-set84.19 7483.81 7685.31 8088.18 17767.85 14087.66 15189.73 16780.05 1682.95 9089.59 14270.74 6394.82 10680.66 8684.72 16793.28 81
nrg03083.88 7583.53 7784.96 9186.77 21769.28 10990.46 6892.67 6774.79 10882.95 9091.33 10072.70 4693.09 18080.79 8579.28 23392.50 108
MG-MVS83.41 8383.45 7883.28 14992.74 7162.28 24488.17 13889.50 17275.22 10181.49 11092.74 7666.75 9895.11 9172.85 15491.58 8792.45 111
EI-MVSNet-UG-set83.81 7683.38 7985.09 8787.87 18667.53 14687.44 15789.66 16979.74 1882.23 9989.41 15170.24 6994.74 10979.95 9183.92 17592.99 95
CPTT-MVS83.73 7783.33 8084.92 9493.28 5570.86 7792.09 3590.38 14668.75 22479.57 12892.83 7360.60 18493.04 18480.92 8291.56 8890.86 160
HQP_MVS83.64 7983.14 8185.14 8590.08 11268.71 12291.25 4992.44 7579.12 2478.92 13691.00 11160.42 18695.38 8078.71 9786.32 15291.33 144
Effi-MVS+83.62 8083.08 8285.24 8388.38 17367.45 14788.89 10689.15 18575.50 9582.27 9888.28 17769.61 7594.45 11677.81 10887.84 12993.84 55
MVS_Test83.15 8783.06 8383.41 14686.86 21363.21 23086.11 19592.00 9774.31 11982.87 9289.44 15070.03 7093.21 17077.39 11388.50 12593.81 57
EPP-MVSNet83.40 8483.02 8484.57 10490.13 11064.47 20292.32 2890.73 13874.45 11879.35 13191.10 10569.05 8295.12 9072.78 15587.22 13994.13 38
OPM-MVS83.50 8182.95 8585.14 8588.79 15870.95 7389.13 10091.52 11677.55 4580.96 11891.75 8760.71 18094.50 11579.67 9386.51 15089.97 200
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EPNet83.72 7882.92 8686.14 6984.22 25269.48 10491.05 5485.27 25781.30 776.83 17991.65 8966.09 10795.56 6676.00 12693.85 6693.38 76
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
IS-MVSNet83.15 8782.81 8784.18 12089.94 11563.30 22791.59 4288.46 20979.04 2679.49 12992.16 7965.10 11794.28 11967.71 19591.86 8594.95 5
EIA-MVS83.31 8682.80 8884.82 9889.59 12065.59 18188.21 13692.68 6674.66 11278.96 13486.42 23369.06 8195.26 8575.54 13190.09 10693.62 69
Vis-MVSNetpermissive83.46 8282.80 8885.43 7990.25 10868.74 12090.30 7290.13 15676.33 8080.87 11992.89 7161.00 17794.20 12572.45 15890.97 9493.35 78
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
FIs82.07 10382.42 9081.04 21788.80 15758.34 28288.26 13593.49 3076.93 6278.47 14691.04 10869.92 7292.34 20369.87 17984.97 16492.44 112
VNet82.21 10082.41 9181.62 19990.82 9860.93 25884.47 23389.78 16476.36 7984.07 7791.88 8564.71 12290.26 25470.68 16988.89 11793.66 62
PAPM_NR83.02 9182.41 9184.82 9892.47 7766.37 16587.93 14691.80 10773.82 13177.32 16990.66 11667.90 8994.90 10270.37 17289.48 11393.19 86
VDD-MVS83.01 9282.36 9384.96 9191.02 9466.40 16488.91 10588.11 21277.57 4284.39 7193.29 6252.19 24393.91 14077.05 11688.70 12194.57 23
3Dnovator76.31 583.38 8582.31 9486.59 6087.94 18572.94 2990.64 6092.14 9177.21 5375.47 20992.83 7358.56 19594.72 11073.24 15192.71 7692.13 123
hse-mvs383.15 8782.19 9586.02 7390.56 10270.85 7888.15 14089.16 18476.02 8584.67 6391.39 9961.54 16395.50 7082.71 6775.48 27691.72 134
MVS_111021_LR82.61 9782.11 9684.11 12188.82 15571.58 5985.15 21786.16 24974.69 11180.47 12391.04 10862.29 15290.55 25280.33 8990.08 10790.20 183
DP-MVS Recon83.11 9082.09 9786.15 6894.44 2170.92 7688.79 11192.20 8870.53 18579.17 13291.03 11064.12 12596.03 5068.39 19290.14 10591.50 139
test_part182.78 9482.08 9884.89 9690.66 10066.97 15890.96 5592.93 5777.19 5480.53 12290.04 12863.44 13095.39 7976.04 12576.90 25392.31 115
MVSFormer82.85 9382.05 9985.24 8387.35 20270.21 8890.50 6490.38 14668.55 22781.32 11189.47 14561.68 16093.46 16378.98 9590.26 10392.05 126
FC-MVSNet-test81.52 11582.02 10080.03 23488.42 17255.97 31887.95 14493.42 3477.10 5877.38 16790.98 11369.96 7191.79 22168.46 19184.50 16992.33 113
HQP-MVS82.61 9782.02 10084.37 11289.33 13166.98 15689.17 9592.19 8976.41 7477.23 17290.23 12360.17 18995.11 9177.47 11185.99 15891.03 154
OMC-MVS82.69 9581.97 10284.85 9788.75 16067.42 14887.98 14290.87 13674.92 10779.72 12791.65 8962.19 15593.96 13375.26 13386.42 15193.16 87
diffmvs82.10 10181.88 10382.76 18083.00 27863.78 21583.68 24989.76 16572.94 14882.02 10189.85 13365.96 11190.79 24882.38 7387.30 13893.71 61
PVSNet_Blended_VisFu82.62 9681.83 10484.96 9190.80 9969.76 9888.74 11591.70 11269.39 20578.96 13488.46 17265.47 11494.87 10574.42 13688.57 12290.24 182
CLD-MVS82.31 9981.65 10584.29 11788.47 16967.73 14385.81 20592.35 8075.78 8978.33 14986.58 22864.01 12694.35 11776.05 12487.48 13690.79 161
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
UniMVSNet_NR-MVSNet81.88 10681.54 10682.92 16988.46 17063.46 22387.13 16392.37 7980.19 1478.38 14789.14 15371.66 5693.05 18270.05 17576.46 26192.25 118
PS-MVSNAJss82.07 10381.31 10784.34 11586.51 22067.27 15289.27 9391.51 11771.75 16279.37 13090.22 12463.15 13894.27 12077.69 10982.36 19891.49 140
LPG-MVS_test82.08 10281.27 10884.50 10689.23 14168.76 11890.22 7491.94 10175.37 9876.64 18591.51 9454.29 22694.91 10078.44 10183.78 17689.83 205
LFMVS81.82 10881.23 10983.57 14191.89 8463.43 22589.84 8081.85 30377.04 6083.21 8693.10 6552.26 24293.43 16571.98 15989.95 10993.85 53
API-MVS81.99 10581.23 10984.26 11890.94 9570.18 9391.10 5389.32 17671.51 16878.66 14188.28 17765.26 11595.10 9464.74 22391.23 9387.51 264
UniMVSNet (Re)81.60 11481.11 11183.09 16088.38 17364.41 20487.60 15293.02 4678.42 3278.56 14388.16 18169.78 7393.26 16969.58 18276.49 26091.60 135
xiu_mvs_v2_base81.69 11181.05 11283.60 13989.15 14468.03 13884.46 23590.02 15870.67 18281.30 11486.53 23163.17 13794.19 12675.60 13088.54 12388.57 244
PS-MVSNAJ81.69 11181.02 11383.70 13889.51 12468.21 13584.28 24190.09 15770.79 17981.26 11585.62 24963.15 13894.29 11875.62 12988.87 11888.59 243
GeoE81.71 11081.01 11483.80 13789.51 12464.45 20388.97 10388.73 20471.27 17178.63 14289.76 13566.32 10493.20 17269.89 17886.02 15793.74 60
hse-mvs281.72 10980.94 11584.07 12488.72 16167.68 14485.87 20187.26 23376.02 8584.67 6388.22 18061.54 16393.48 16182.71 6773.44 30391.06 152
PAPR81.66 11380.89 11683.99 13290.27 10764.00 21086.76 17891.77 11168.84 22377.13 17789.50 14367.63 9194.88 10467.55 19788.52 12493.09 88
MAR-MVS81.84 10780.70 11785.27 8291.32 9071.53 6089.82 8190.92 13469.77 19978.50 14486.21 23762.36 15194.52 11465.36 21792.05 8189.77 208
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
VDDNet81.52 11580.67 11884.05 12690.44 10564.13 20989.73 8685.91 25271.11 17383.18 8793.48 5750.54 26693.49 16073.40 14888.25 12794.54 24
ACMP74.13 681.51 11780.57 11984.36 11389.42 12768.69 12589.97 7991.50 12074.46 11775.04 22790.41 12053.82 23194.54 11277.56 11082.91 19089.86 204
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
VPA-MVSNet80.60 13780.55 12080.76 22288.07 18160.80 26186.86 17291.58 11575.67 9380.24 12489.45 14963.34 13290.25 25570.51 17179.22 23491.23 147
DU-MVS81.12 12280.52 12182.90 17087.80 18963.46 22387.02 16791.87 10579.01 2778.38 14789.07 15665.02 11893.05 18270.05 17576.46 26192.20 120
test_yl81.17 12080.47 12283.24 15289.13 14563.62 21686.21 19289.95 16072.43 15381.78 10789.61 14057.50 20493.58 15470.75 16786.90 14392.52 106
DCV-MVSNet81.17 12080.47 12283.24 15289.13 14563.62 21686.21 19289.95 16072.43 15381.78 10789.61 14057.50 20493.58 15470.75 16786.90 14392.52 106
PVSNet_Blended80.98 12380.34 12482.90 17088.85 15265.40 18484.43 23792.00 9767.62 23478.11 15485.05 26266.02 10994.27 12071.52 16189.50 11289.01 227
TranMVSNet+NR-MVSNet80.84 12680.31 12582.42 18587.85 18762.33 24287.74 15091.33 12380.55 1177.99 15789.86 13265.23 11692.62 19267.05 20575.24 28692.30 116
jason81.39 11880.29 12684.70 10286.63 21969.90 9585.95 19886.77 24063.24 28281.07 11789.47 14561.08 17692.15 21078.33 10490.07 10892.05 126
jason: jason.
lupinMVS81.39 11880.27 12784.76 10187.35 20270.21 8885.55 21086.41 24462.85 28981.32 11188.61 16761.68 16092.24 20778.41 10390.26 10391.83 130
PVSNet_BlendedMVS80.60 13780.02 12882.36 18788.85 15265.40 18486.16 19492.00 9769.34 20778.11 15486.09 24066.02 10994.27 12071.52 16182.06 20087.39 266
EI-MVSNet80.52 14079.98 12982.12 18884.28 25063.19 23286.41 18688.95 19574.18 12478.69 13987.54 19666.62 9992.43 19872.57 15780.57 21790.74 164
Fast-Effi-MVS+80.81 12979.92 13083.47 14288.85 15264.51 19985.53 21289.39 17470.79 17978.49 14585.06 26167.54 9293.58 15467.03 20686.58 14892.32 114
CANet_DTU80.61 13679.87 13182.83 17285.60 23163.17 23387.36 15888.65 20576.37 7875.88 20388.44 17353.51 23393.07 18173.30 14989.74 11192.25 118
ACMM73.20 880.78 13479.84 13283.58 14089.31 13668.37 13089.99 7891.60 11470.28 18977.25 17089.66 13853.37 23493.53 15974.24 13982.85 19188.85 235
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
112180.84 12679.77 13384.05 12693.11 6070.78 7984.66 22785.42 25657.37 33281.76 10992.02 8163.41 13194.12 12967.28 20092.93 7287.26 271
XVG-OURS-SEG-HR80.81 12979.76 13483.96 13485.60 23168.78 11783.54 25590.50 14370.66 18376.71 18391.66 8860.69 18191.26 23576.94 11881.58 20591.83 130
xiu_mvs_v1_base_debu80.80 13179.72 13584.03 12987.35 20270.19 9085.56 20788.77 19969.06 21681.83 10288.16 18150.91 26092.85 18878.29 10587.56 13389.06 222
xiu_mvs_v1_base80.80 13179.72 13584.03 12987.35 20270.19 9085.56 20788.77 19969.06 21681.83 10288.16 18150.91 26092.85 18878.29 10587.56 13389.06 222
xiu_mvs_v1_base_debi80.80 13179.72 13584.03 12987.35 20270.19 9085.56 20788.77 19969.06 21681.83 10288.16 18150.91 26092.85 18878.29 10587.56 13389.06 222
UGNet80.83 12879.59 13884.54 10588.04 18268.09 13689.42 9088.16 21176.95 6176.22 19489.46 14749.30 28093.94 13668.48 19090.31 10191.60 135
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
114514_t80.68 13579.51 13984.20 11994.09 4167.27 15289.64 8891.11 13158.75 32374.08 23790.72 11558.10 19795.04 9669.70 18089.42 11490.30 180
QAPM80.88 12479.50 14085.03 8888.01 18468.97 11491.59 4292.00 9766.63 24675.15 22392.16 7957.70 20195.45 7363.52 22788.76 12090.66 166
AdaColmapbinary80.58 13979.42 14184.06 12593.09 6168.91 11589.36 9188.97 19469.27 20875.70 20689.69 13757.20 20995.77 6063.06 23388.41 12687.50 265
mvs-test180.88 12479.40 14285.29 8185.13 24069.75 9989.28 9288.10 21374.99 10576.44 19086.72 21757.27 20794.26 12473.53 14483.18 18791.87 129
NR-MVSNet80.23 14579.38 14382.78 17887.80 18963.34 22686.31 18991.09 13279.01 2772.17 25589.07 15667.20 9692.81 19166.08 21275.65 27292.20 120
IterMVS-LS80.06 14879.38 14382.11 18985.89 22663.20 23186.79 17589.34 17574.19 12375.45 21286.72 21766.62 9992.39 20072.58 15676.86 25590.75 163
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test_djsdf80.30 14479.32 14583.27 15083.98 25765.37 18790.50 6490.38 14668.55 22776.19 19588.70 16356.44 21393.46 16378.98 9580.14 22390.97 157
v2v48280.23 14579.29 14683.05 16383.62 26264.14 20887.04 16689.97 15973.61 13478.18 15387.22 20561.10 17593.82 14376.11 12376.78 25891.18 148
XVG-OURS80.41 14179.23 14783.97 13385.64 23069.02 11183.03 26390.39 14571.09 17477.63 16391.49 9654.62 22591.35 23375.71 12783.47 18391.54 137
WR-MVS79.49 15879.22 14880.27 23188.79 15858.35 28185.06 21988.61 20778.56 3077.65 16288.34 17563.81 12990.66 25164.98 22177.22 24991.80 133
mvs_anonymous79.42 16179.11 14980.34 22984.45 24957.97 28882.59 26587.62 22567.40 23776.17 19888.56 17068.47 8589.59 26570.65 17086.05 15693.47 75
v114480.03 14979.03 15083.01 16583.78 26064.51 19987.11 16590.57 14271.96 16078.08 15686.20 23861.41 16793.94 13674.93 13477.23 24890.60 169
v879.97 15179.02 15182.80 17584.09 25464.50 20187.96 14390.29 15374.13 12675.24 22186.81 21462.88 14393.89 14274.39 13775.40 28090.00 196
ab-mvs79.51 15778.97 15281.14 21488.46 17060.91 25983.84 24789.24 18170.36 18779.03 13388.87 16163.23 13690.21 25665.12 21982.57 19692.28 117
Anonymous2024052980.19 14778.89 15384.10 12290.60 10164.75 19688.95 10490.90 13565.97 25480.59 12191.17 10449.97 27193.73 15169.16 18682.70 19593.81 57
PCF-MVS73.52 780.38 14278.84 15485.01 8987.71 19368.99 11383.65 25091.46 12163.00 28677.77 16190.28 12166.10 10695.09 9561.40 24988.22 12890.94 158
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
v1079.74 15478.67 15582.97 16884.06 25564.95 19387.88 14890.62 14073.11 14475.11 22486.56 22961.46 16694.05 13273.68 14275.55 27489.90 202
VPNet78.69 17978.66 15678.76 25588.31 17555.72 32084.45 23686.63 24276.79 6678.26 15090.55 11859.30 19189.70 26466.63 20777.05 25190.88 159
BH-untuned79.47 15978.60 15782.05 19189.19 14365.91 17486.07 19688.52 20872.18 15675.42 21387.69 19161.15 17493.54 15860.38 25686.83 14586.70 285
Effi-MVS+-dtu80.03 14978.57 15884.42 11085.13 24068.74 12088.77 11288.10 21374.99 10574.97 22883.49 28157.27 20793.36 16673.53 14480.88 21191.18 148
WR-MVS_H78.51 18378.49 15978.56 25888.02 18356.38 31388.43 12392.67 6777.14 5673.89 23887.55 19566.25 10589.24 27158.92 26973.55 30190.06 194
Vis-MVSNet (Re-imp)78.36 18778.45 16078.07 26688.64 16451.78 34086.70 17979.63 32474.14 12575.11 22490.83 11461.29 17189.75 26258.10 27891.60 8692.69 103
BH-RMVSNet79.61 15578.44 16183.14 15889.38 13065.93 17384.95 22287.15 23573.56 13678.19 15289.79 13456.67 21293.36 16659.53 26386.74 14690.13 186
v119279.59 15678.43 16283.07 16283.55 26464.52 19886.93 17090.58 14170.83 17777.78 16085.90 24159.15 19293.94 13673.96 14177.19 25090.76 162
RRT_MVS79.88 15278.38 16384.38 11185.42 23470.60 8488.71 11788.75 20372.30 15578.83 13889.14 15344.44 31092.18 20978.50 10079.33 23290.35 178
v14419279.47 15978.37 16482.78 17883.35 26663.96 21186.96 16890.36 14969.99 19377.50 16485.67 24760.66 18293.77 14774.27 13876.58 25990.62 167
CP-MVSNet78.22 18978.34 16577.84 26887.83 18854.54 32587.94 14591.17 12977.65 3973.48 24088.49 17162.24 15488.43 28462.19 24074.07 29490.55 171
Baseline_NR-MVSNet78.15 19378.33 16677.61 27385.79 22756.21 31686.78 17685.76 25373.60 13577.93 15887.57 19465.02 11888.99 27567.14 20475.33 28287.63 260
OpenMVScopyleft72.83 1079.77 15378.33 16684.09 12385.17 23769.91 9490.57 6290.97 13366.70 24272.17 25591.91 8354.70 22393.96 13361.81 24690.95 9588.41 248
UniMVSNet_ETH3D79.10 17078.24 16881.70 19886.85 21460.24 26887.28 16188.79 19874.25 12276.84 17890.53 11949.48 27791.56 22767.98 19382.15 19993.29 80
V4279.38 16478.24 16882.83 17281.10 31365.50 18385.55 21089.82 16371.57 16778.21 15186.12 23960.66 18293.18 17575.64 12875.46 27889.81 207
PS-CasMVS78.01 19878.09 17077.77 27087.71 19354.39 32788.02 14191.22 12677.50 4773.26 24288.64 16660.73 17988.41 28561.88 24473.88 29890.53 172
v192192079.22 16678.03 17182.80 17583.30 26863.94 21286.80 17490.33 15069.91 19677.48 16585.53 25058.44 19693.75 14973.60 14376.85 25690.71 165
jajsoiax79.29 16577.96 17283.27 15084.68 24666.57 16389.25 9490.16 15569.20 21275.46 21189.49 14445.75 30493.13 17876.84 11980.80 21390.11 188
TAPA-MVS73.13 979.15 16877.94 17382.79 17789.59 12062.99 23788.16 13991.51 11765.77 25577.14 17691.09 10660.91 17893.21 17050.26 31887.05 14192.17 122
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
tttt051779.40 16277.91 17483.90 13688.10 18063.84 21388.37 13084.05 27371.45 16976.78 18189.12 15549.93 27494.89 10370.18 17483.18 18792.96 96
cl_fuxian78.75 17777.91 17481.26 21082.89 28261.56 25384.09 24589.13 18769.97 19475.56 20784.29 26966.36 10392.09 21273.47 14775.48 27690.12 187
MVSTER79.01 17277.88 17682.38 18683.07 27564.80 19584.08 24688.95 19569.01 21978.69 13987.17 20854.70 22392.43 19874.69 13580.57 21789.89 203
X-MVStestdata80.37 14377.83 17788.00 1594.42 2273.33 2092.78 1792.99 4979.14 2283.67 8312.47 36767.45 9396.60 3483.06 6094.50 5694.07 41
v14878.72 17877.80 17881.47 20382.73 28561.96 24886.30 19088.08 21573.26 14376.18 19685.47 25262.46 14992.36 20271.92 16073.82 29990.09 190
v124078.99 17377.78 17982.64 18183.21 27063.54 22086.62 18190.30 15269.74 20277.33 16885.68 24657.04 21093.76 14873.13 15276.92 25290.62 167
mvs_tets79.13 16977.77 18083.22 15584.70 24566.37 16589.17 9590.19 15469.38 20675.40 21489.46 14744.17 31293.15 17676.78 12080.70 21590.14 185
miper_ehance_all_eth78.59 18277.76 18181.08 21682.66 28761.56 25383.65 25089.15 18568.87 22275.55 20883.79 27766.49 10192.03 21373.25 15076.39 26389.64 211
thisisatest053079.40 16277.76 18184.31 11687.69 19565.10 19287.36 15884.26 27170.04 19277.42 16688.26 17949.94 27294.79 10870.20 17384.70 16893.03 91
CDS-MVSNet79.07 17177.70 18383.17 15787.60 19668.23 13484.40 23986.20 24867.49 23676.36 19186.54 23061.54 16390.79 24861.86 24587.33 13790.49 173
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
Anonymous2023121178.97 17477.69 18482.81 17490.54 10364.29 20690.11 7691.51 11765.01 26576.16 19988.13 18650.56 26593.03 18569.68 18177.56 24691.11 151
PEN-MVS77.73 20377.69 18477.84 26887.07 21253.91 33087.91 14791.18 12877.56 4473.14 24488.82 16261.23 17289.17 27259.95 25972.37 30990.43 175
AUN-MVS79.21 16777.60 18684.05 12688.71 16267.61 14585.84 20387.26 23369.08 21577.23 17288.14 18553.20 23693.47 16275.50 13273.45 30291.06 152
v7n78.97 17477.58 18783.14 15883.45 26565.51 18288.32 13191.21 12773.69 13372.41 25286.32 23657.93 19893.81 14469.18 18575.65 27290.11 188
TAMVS78.89 17677.51 18883.03 16487.80 18967.79 14284.72 22685.05 26067.63 23376.75 18287.70 19062.25 15390.82 24758.53 27487.13 14090.49 173
RRT_test8_iter0578.38 18677.40 18981.34 20886.00 22558.86 27786.55 18491.26 12572.13 15975.91 20187.42 19944.97 30793.73 15177.02 11775.30 28391.45 143
GBi-Net78.40 18477.40 18981.40 20587.60 19663.01 23488.39 12789.28 17771.63 16475.34 21687.28 20154.80 21991.11 23862.72 23479.57 22690.09 190
test178.40 18477.40 18981.40 20587.60 19663.01 23488.39 12789.28 17771.63 16475.34 21687.28 20154.80 21991.11 23862.72 23479.57 22690.09 190
BH-w/o78.21 19077.33 19280.84 22088.81 15665.13 19184.87 22387.85 22269.75 20074.52 23384.74 26561.34 16993.11 17958.24 27785.84 16084.27 315
FMVSNet278.20 19177.21 19381.20 21287.60 19662.89 23887.47 15689.02 19071.63 16475.29 22087.28 20154.80 21991.10 24162.38 23879.38 23089.61 212
anonymousdsp78.60 18177.15 19482.98 16780.51 31967.08 15487.24 16289.53 17165.66 25775.16 22287.19 20752.52 23792.25 20677.17 11579.34 23189.61 212
HY-MVS69.67 1277.95 19977.15 19480.36 22887.57 20060.21 26983.37 25787.78 22366.11 25075.37 21587.06 21263.27 13490.48 25361.38 25082.43 19790.40 177
cl-mvsnet278.07 19577.01 19681.23 21182.37 29461.83 25083.55 25487.98 21768.96 22075.06 22683.87 27361.40 16891.88 22073.53 14476.39 26389.98 199
Anonymous20240521178.25 18877.01 19681.99 19391.03 9360.67 26284.77 22583.90 27570.65 18480.00 12591.20 10341.08 32991.43 23165.21 21885.26 16293.85 53
MVS78.19 19276.99 19881.78 19685.66 22966.99 15584.66 22790.47 14455.08 34272.02 25785.27 25563.83 12894.11 13166.10 21189.80 11084.24 316
LCM-MVSNet-Re77.05 21576.94 19977.36 27687.20 20951.60 34180.06 28980.46 31675.20 10267.69 29686.72 21762.48 14888.98 27663.44 22989.25 11591.51 138
miper_enhance_ethall77.87 20276.86 20080.92 21981.65 30161.38 25582.68 26488.98 19265.52 25975.47 20982.30 29565.76 11392.00 21572.95 15376.39 26389.39 216
FMVSNet377.88 20176.85 20180.97 21886.84 21562.36 24186.52 18588.77 19971.13 17275.34 21686.66 22454.07 22991.10 24162.72 23479.57 22689.45 215
DTE-MVSNet76.99 21676.80 20277.54 27586.24 22253.06 33787.52 15490.66 13977.08 5972.50 25088.67 16560.48 18589.52 26657.33 28570.74 32090.05 195
CNLPA78.08 19476.79 20381.97 19490.40 10671.07 6987.59 15384.55 26566.03 25372.38 25389.64 13957.56 20386.04 30359.61 26283.35 18488.79 238
cl-mvsnet____77.72 20476.76 20480.58 22482.49 29160.48 26583.09 26087.87 22069.22 21074.38 23585.22 25762.10 15691.53 22871.09 16575.41 27989.73 210
cl-mvsnet177.72 20476.76 20480.58 22482.48 29260.48 26583.09 26087.86 22169.22 21074.38 23585.24 25662.10 15691.53 22871.09 16575.40 28089.74 209
baseline176.98 21776.75 20677.66 27188.13 17855.66 32185.12 21881.89 30173.04 14676.79 18088.90 15962.43 15087.78 29263.30 23171.18 31889.55 214
eth_miper_zixun_eth77.92 20076.69 20781.61 20183.00 27861.98 24783.15 25989.20 18369.52 20474.86 23084.35 26861.76 15992.56 19571.50 16372.89 30790.28 181
pm-mvs177.25 21376.68 20878.93 25384.22 25258.62 28086.41 18688.36 21071.37 17073.31 24188.01 18761.22 17389.15 27364.24 22573.01 30689.03 226
ET-MVSNet_ETH3D78.63 18076.63 20984.64 10386.73 21869.47 10585.01 22084.61 26469.54 20366.51 31286.59 22650.16 26991.75 22276.26 12284.24 17392.69 103
Fast-Effi-MVS+-dtu78.02 19776.49 21082.62 18283.16 27466.96 15986.94 16987.45 23072.45 15071.49 26284.17 27054.79 22291.58 22667.61 19680.31 22089.30 218
1112_ss77.40 21176.43 21180.32 23089.11 14960.41 26783.65 25087.72 22462.13 29773.05 24586.72 21762.58 14789.97 25962.11 24380.80 21390.59 170
PAPM77.68 20676.40 21281.51 20287.29 20861.85 24983.78 24889.59 17064.74 26771.23 26388.70 16362.59 14693.66 15352.66 30587.03 14289.01 227
PLCcopyleft70.83 1178.05 19676.37 21383.08 16191.88 8567.80 14188.19 13789.46 17364.33 27369.87 28188.38 17453.66 23293.58 15458.86 27082.73 19387.86 256
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TR-MVS77.44 20976.18 21481.20 21288.24 17663.24 22984.61 23186.40 24567.55 23577.81 15986.48 23254.10 22893.15 17657.75 28182.72 19487.20 272
FMVSNet177.44 20976.12 21581.40 20586.81 21663.01 23488.39 12789.28 17770.49 18674.39 23487.28 20149.06 28391.11 23860.91 25378.52 23690.09 190
CHOSEN 1792x268877.63 20775.69 21683.44 14389.98 11468.58 12878.70 30487.50 22856.38 33775.80 20586.84 21358.67 19491.40 23261.58 24885.75 16190.34 179
WTY-MVS75.65 23675.68 21775.57 29286.40 22156.82 30477.92 31282.40 29765.10 26276.18 19687.72 18963.13 14180.90 33160.31 25781.96 20189.00 229
XXY-MVS75.41 24075.56 21874.96 29883.59 26357.82 29280.59 28583.87 27666.54 24774.93 22988.31 17663.24 13580.09 33462.16 24176.85 25686.97 279
thres100view90076.50 22375.55 21979.33 24789.52 12356.99 30285.83 20483.23 28773.94 12876.32 19287.12 20951.89 25191.95 21648.33 32683.75 17889.07 220
bset_n11_16_dypcd77.12 21475.47 22082.06 19081.12 31265.99 17181.37 27983.20 28969.94 19576.09 20083.38 28347.75 28892.26 20578.51 9977.91 24287.95 252
thres600view776.50 22375.44 22179.68 24189.40 12857.16 29985.53 21283.23 28773.79 13276.26 19387.09 21051.89 25191.89 21948.05 33183.72 18190.00 196
Test_1112_low_res76.40 22775.44 22179.27 24889.28 13858.09 28481.69 27487.07 23659.53 31672.48 25186.67 22361.30 17089.33 26960.81 25580.15 22290.41 176
HyFIR lowres test77.53 20875.40 22383.94 13589.59 12066.62 16180.36 28688.64 20656.29 33876.45 18785.17 25857.64 20293.28 16861.34 25183.10 18991.91 128
thisisatest051577.33 21275.38 22483.18 15685.27 23663.80 21482.11 27083.27 28665.06 26375.91 20183.84 27549.54 27694.27 12067.24 20286.19 15491.48 141
tfpn200view976.42 22675.37 22579.55 24689.13 14557.65 29485.17 21583.60 27873.41 14176.45 18786.39 23452.12 24491.95 21648.33 32683.75 17889.07 220
thres40076.50 22375.37 22579.86 23789.13 14557.65 29485.17 21583.60 27873.41 14176.45 18786.39 23452.12 24491.95 21648.33 32683.75 17890.00 196
131476.53 22275.30 22780.21 23283.93 25862.32 24384.66 22788.81 19760.23 30970.16 27584.07 27255.30 21790.73 25067.37 19983.21 18687.59 263
GA-MVS76.87 21975.17 22881.97 19482.75 28462.58 23981.44 27886.35 24772.16 15874.74 23182.89 28746.20 29992.02 21468.85 18981.09 20991.30 146
EPNet_dtu75.46 23874.86 22977.23 28082.57 28954.60 32486.89 17183.09 29171.64 16366.25 31485.86 24355.99 21488.04 28954.92 29686.55 14989.05 225
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
LS3D76.95 21874.82 23083.37 14790.45 10467.36 15189.15 9986.94 23861.87 29969.52 28490.61 11751.71 25494.53 11346.38 33886.71 14788.21 250
cascas76.72 22174.64 23182.99 16685.78 22865.88 17582.33 26889.21 18260.85 30572.74 24781.02 30647.28 29193.75 14967.48 19885.02 16389.34 217
DP-MVS76.78 22074.57 23283.42 14493.29 5469.46 10788.55 12283.70 27763.98 27970.20 27288.89 16054.01 23094.80 10746.66 33581.88 20386.01 297
TransMVSNet (Re)75.39 24174.56 23377.86 26785.50 23357.10 30186.78 17686.09 25172.17 15771.53 26187.34 20063.01 14289.31 27056.84 28961.83 34287.17 273
LTVRE_ROB69.57 1376.25 22974.54 23481.41 20488.60 16564.38 20579.24 29789.12 18870.76 18169.79 28387.86 18849.09 28293.20 17256.21 29380.16 22186.65 286
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
thres20075.55 23774.47 23578.82 25487.78 19257.85 29183.07 26283.51 28172.44 15275.84 20484.42 26752.08 24691.75 22247.41 33383.64 18286.86 281
MVP-Stereo76.12 23074.46 23681.13 21585.37 23569.79 9784.42 23887.95 21865.03 26467.46 29885.33 25453.28 23591.73 22458.01 27983.27 18581.85 335
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
F-COLMAP76.38 22874.33 23782.50 18489.28 13866.95 16088.41 12689.03 18964.05 27766.83 30688.61 16746.78 29492.89 18757.48 28278.55 23587.67 259
XVG-ACMP-BASELINE76.11 23174.27 23881.62 19983.20 27164.67 19783.60 25389.75 16669.75 20071.85 25887.09 21032.78 35192.11 21169.99 17780.43 21988.09 251
ACMH+68.96 1476.01 23274.01 23982.03 19288.60 16565.31 18888.86 10787.55 22670.25 19067.75 29587.47 19841.27 32793.19 17458.37 27575.94 26987.60 261
ACMH67.68 1675.89 23373.93 24081.77 19788.71 16266.61 16288.62 11989.01 19169.81 19766.78 30786.70 22241.95 32691.51 23055.64 29478.14 24187.17 273
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CostFormer75.24 24273.90 24179.27 24882.65 28858.27 28380.80 28082.73 29561.57 30075.33 21983.13 28555.52 21591.07 24464.98 22178.34 24088.45 246
IterMVS-SCA-FT75.43 23973.87 24280.11 23382.69 28664.85 19481.57 27683.47 28369.16 21370.49 26984.15 27151.95 24988.15 28769.23 18472.14 31287.34 268
baseline275.70 23573.83 24381.30 20983.26 26961.79 25182.57 26680.65 31266.81 23966.88 30483.42 28257.86 20092.19 20863.47 22879.57 22689.91 201
sss73.60 25473.64 24473.51 30982.80 28355.01 32376.12 31881.69 30462.47 29474.68 23285.85 24457.32 20678.11 34160.86 25480.93 21087.39 266
pmmvs674.69 24473.39 24578.61 25781.38 30757.48 29786.64 18087.95 21864.99 26670.18 27386.61 22550.43 26789.52 26662.12 24270.18 32288.83 236
IB-MVS68.01 1575.85 23473.36 24683.31 14884.76 24466.03 16983.38 25685.06 25970.21 19169.40 28581.05 30545.76 30394.66 11165.10 22075.49 27589.25 219
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
D2MVS74.82 24373.21 24779.64 24379.81 32662.56 24080.34 28787.35 23164.37 27268.86 28882.66 29146.37 29690.10 25867.91 19481.24 20886.25 290
tfpnnormal74.39 24573.16 24878.08 26586.10 22458.05 28584.65 23087.53 22770.32 18871.22 26485.63 24854.97 21889.86 26043.03 34775.02 28786.32 289
miper_lstm_enhance74.11 24973.11 24977.13 28180.11 32259.62 27272.23 33486.92 23966.76 24170.40 27082.92 28656.93 21182.92 32469.06 18772.63 30888.87 234
IterMVS74.29 24672.94 25078.35 26281.53 30463.49 22281.58 27582.49 29668.06 23269.99 27883.69 27951.66 25585.54 30665.85 21471.64 31586.01 297
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MS-PatchMatch73.83 25272.67 25177.30 27883.87 25966.02 17081.82 27184.66 26361.37 30368.61 29182.82 28947.29 29088.21 28659.27 26484.32 17277.68 349
CVMVSNet72.99 26372.58 25274.25 30584.28 25050.85 34686.41 18683.45 28444.56 35373.23 24387.54 19649.38 27885.70 30565.90 21378.44 23886.19 292
test-LLR72.94 26472.43 25374.48 30281.35 30858.04 28678.38 30577.46 33366.66 24369.95 27979.00 32448.06 28679.24 33566.13 20984.83 16586.15 293
OurMVSNet-221017-074.26 24772.42 25479.80 23983.76 26159.59 27385.92 20086.64 24166.39 24866.96 30387.58 19339.46 33391.60 22565.76 21569.27 32488.22 249
SCA74.22 24872.33 25579.91 23684.05 25662.17 24579.96 29179.29 32666.30 24972.38 25380.13 31551.95 24988.60 28259.25 26577.67 24588.96 231
tpmrst72.39 26772.13 25673.18 31380.54 31849.91 34979.91 29279.08 32763.11 28471.69 26079.95 31755.32 21682.77 32565.66 21673.89 29786.87 280
pmmvs474.03 25171.91 25780.39 22781.96 29868.32 13181.45 27782.14 29959.32 31769.87 28185.13 25952.40 24088.13 28860.21 25874.74 29084.73 312
DWT-MVSNet_test73.70 25371.86 25879.21 25082.91 28158.94 27682.34 26782.17 29865.21 26071.05 26678.31 32944.21 31190.17 25763.29 23277.28 24788.53 245
EG-PatchMatch MVS74.04 25071.82 25980.71 22384.92 24367.42 14885.86 20288.08 21566.04 25264.22 32683.85 27435.10 34792.56 19557.44 28380.83 21282.16 334
tpm72.37 26971.71 26074.35 30482.19 29652.00 33879.22 29877.29 33564.56 26972.95 24683.68 28051.35 25683.26 32358.33 27675.80 27087.81 257
CL-MVSNet_2432*160072.37 26971.46 26175.09 29779.49 33253.53 33280.76 28285.01 26169.12 21470.51 26882.05 29957.92 19984.13 31652.27 30666.00 33587.60 261
tpm273.26 25971.46 26178.63 25683.34 26756.71 30780.65 28480.40 31756.63 33673.55 23982.02 30051.80 25391.24 23656.35 29278.42 23987.95 252
RPSCF73.23 26071.46 26178.54 25982.50 29059.85 27082.18 26982.84 29458.96 32071.15 26589.41 15145.48 30684.77 31358.82 27171.83 31491.02 156
PatchmatchNetpermissive73.12 26171.33 26478.49 26183.18 27260.85 26079.63 29378.57 32864.13 27471.73 25979.81 32051.20 25885.97 30457.40 28476.36 26688.66 241
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CR-MVSNet73.37 25671.27 26579.67 24281.32 31065.19 18975.92 32080.30 31859.92 31272.73 24881.19 30352.50 23886.69 29859.84 26077.71 24387.11 277
SixPastTwentyTwo73.37 25671.26 26679.70 24085.08 24257.89 29085.57 20683.56 28071.03 17565.66 31685.88 24242.10 32492.57 19459.11 26763.34 34188.65 242
MSDG73.36 25870.99 26780.49 22684.51 24865.80 17680.71 28386.13 25065.70 25665.46 31783.74 27844.60 30890.91 24651.13 31176.89 25484.74 311
PatchMatch-RL72.38 26870.90 26876.80 28488.60 16567.38 15079.53 29476.17 33962.75 29169.36 28682.00 30145.51 30584.89 31253.62 30180.58 21678.12 348
MVS_030472.48 26670.89 26977.24 27982.20 29559.68 27184.11 24483.49 28267.10 23866.87 30580.59 31135.00 34887.40 29459.07 26879.58 22584.63 313
PVSNet64.34 1872.08 27170.87 27075.69 29086.21 22356.44 31174.37 33080.73 31162.06 29870.17 27482.23 29742.86 31883.31 32254.77 29784.45 17187.32 269
RPMNet73.51 25570.49 27182.58 18381.32 31065.19 18975.92 32092.27 8357.60 33072.73 24876.45 34052.30 24195.43 7548.14 33077.71 24387.11 277
test_040272.79 26570.44 27279.84 23888.13 17865.99 17185.93 19984.29 26965.57 25867.40 30085.49 25146.92 29392.61 19335.88 35674.38 29380.94 340
COLMAP_ROBcopyleft66.92 1773.01 26270.41 27380.81 22187.13 21165.63 18088.30 13284.19 27262.96 28763.80 33087.69 19138.04 33992.56 19546.66 33574.91 28884.24 316
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
test-mter71.41 27370.39 27474.48 30281.35 30858.04 28678.38 30577.46 33360.32 30869.95 27979.00 32436.08 34579.24 33566.13 20984.83 16586.15 293
pmmvs571.55 27270.20 27575.61 29177.83 33856.39 31281.74 27380.89 30857.76 32867.46 29884.49 26649.26 28185.32 30957.08 28775.29 28485.11 308
MDTV_nov1_ep1369.97 27683.18 27253.48 33377.10 31680.18 32160.45 30669.33 28780.44 31248.89 28486.90 29751.60 30978.51 237
MIMVSNet70.69 27869.30 27774.88 29984.52 24756.35 31475.87 32279.42 32564.59 26867.76 29482.41 29341.10 32881.54 32946.64 33781.34 20686.75 284
tpmvs71.09 27569.29 27876.49 28582.04 29756.04 31778.92 30281.37 30764.05 27767.18 30278.28 33049.74 27589.77 26149.67 32172.37 30983.67 321
Patchmtry70.74 27769.16 27975.49 29480.72 31554.07 32974.94 32980.30 31858.34 32470.01 27681.19 30352.50 23886.54 29953.37 30271.09 31985.87 300
TESTMET0.1,169.89 28769.00 28072.55 31479.27 33556.85 30378.38 30574.71 34557.64 32968.09 29377.19 33737.75 34076.70 34663.92 22684.09 17484.10 319
PMMVS69.34 28968.67 28171.35 32175.67 34662.03 24675.17 32473.46 34750.00 35168.68 28979.05 32252.07 24778.13 34061.16 25282.77 19273.90 352
K. test v371.19 27468.51 28279.21 25083.04 27757.78 29384.35 24076.91 33772.90 14962.99 33382.86 28839.27 33491.09 24361.65 24752.66 35488.75 239
USDC70.33 28268.37 28376.21 28780.60 31756.23 31579.19 29986.49 24360.89 30461.29 33785.47 25231.78 35489.47 26853.37 30276.21 26782.94 331
tpm cat170.57 27968.31 28477.35 27782.41 29357.95 28978.08 30980.22 32052.04 34868.54 29277.66 33552.00 24887.84 29151.77 30772.07 31386.25 290
OpenMVS_ROBcopyleft64.09 1970.56 28068.19 28577.65 27280.26 32059.41 27585.01 22082.96 29358.76 32265.43 31882.33 29437.63 34191.23 23745.34 34376.03 26882.32 332
EPMVS69.02 29168.16 28671.59 31779.61 33049.80 35177.40 31466.93 35962.82 29070.01 27679.05 32245.79 30277.86 34356.58 29075.26 28587.13 276
CMPMVSbinary51.72 2170.19 28468.16 28676.28 28673.15 35857.55 29679.47 29583.92 27448.02 35256.48 35184.81 26343.13 31686.42 30162.67 23781.81 20484.89 309
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
AllTest70.96 27668.09 28879.58 24485.15 23863.62 21684.58 23279.83 32262.31 29560.32 34086.73 21532.02 35288.96 27850.28 31671.57 31686.15 293
gg-mvs-nofinetune69.95 28667.96 28975.94 28883.07 27554.51 32677.23 31570.29 35263.11 28470.32 27162.33 35343.62 31488.69 28153.88 30087.76 13084.62 314
FMVSNet569.50 28867.96 28974.15 30682.97 28055.35 32280.01 29082.12 30062.56 29363.02 33181.53 30236.92 34281.92 32748.42 32574.06 29585.17 307
PatchT68.46 29767.85 29170.29 32580.70 31643.93 35972.47 33374.88 34260.15 31070.55 26776.57 33949.94 27281.59 32850.58 31274.83 28985.34 303
pmmvs-eth3d70.50 28167.83 29278.52 26077.37 34166.18 16881.82 27181.51 30558.90 32163.90 32980.42 31342.69 31986.28 30258.56 27365.30 33783.11 327
Anonymous2023120668.60 29467.80 29371.02 32380.23 32150.75 34778.30 30880.47 31556.79 33566.11 31582.63 29246.35 29778.95 33743.62 34675.70 27183.36 324
Patchmatch-RL test70.24 28367.78 29477.61 27377.43 34059.57 27471.16 33670.33 35162.94 28868.65 29072.77 34750.62 26485.49 30769.58 18266.58 33387.77 258
test0.0.03 168.00 29867.69 29568.90 33077.55 33947.43 35375.70 32372.95 34966.66 24366.56 30882.29 29648.06 28675.87 35044.97 34474.51 29283.41 323
EU-MVSNet68.53 29667.61 29671.31 32278.51 33747.01 35584.47 23384.27 27042.27 35466.44 31384.79 26440.44 33183.76 31858.76 27268.54 32983.17 325
DIV-MVS_2432*160068.81 29267.59 29772.46 31574.29 35245.45 35677.93 31187.00 23763.12 28363.99 32878.99 32642.32 32184.77 31356.55 29164.09 34087.16 275
ppachtmachnet_test70.04 28567.34 29878.14 26479.80 32761.13 25679.19 29980.59 31359.16 31965.27 31979.29 32146.75 29587.29 29549.33 32266.72 33186.00 299
Anonymous2024052168.80 29367.22 29973.55 30874.33 35154.11 32883.18 25885.61 25458.15 32561.68 33680.94 30830.71 35581.27 33057.00 28873.34 30585.28 304
our_test_369.14 29067.00 30075.57 29279.80 32758.80 27877.96 31077.81 33159.55 31562.90 33478.25 33147.43 28983.97 31751.71 30867.58 33083.93 320
test20.0367.45 30066.95 30168.94 32975.48 34844.84 35877.50 31377.67 33266.66 24363.01 33283.80 27647.02 29278.40 33942.53 34968.86 32883.58 322
MIMVSNet168.58 29566.78 30273.98 30780.07 32351.82 33980.77 28184.37 26664.40 27159.75 34382.16 29836.47 34383.63 32042.73 34870.33 32186.48 288
testgi66.67 30566.53 30367.08 33575.62 34741.69 36275.93 31976.50 33866.11 25065.20 32286.59 22635.72 34674.71 35443.71 34573.38 30484.84 310
UnsupCasMVSNet_eth67.33 30165.99 30471.37 31973.48 35551.47 34375.16 32585.19 25865.20 26160.78 33980.93 31042.35 32077.20 34557.12 28653.69 35385.44 302
dp66.80 30365.43 30570.90 32479.74 32948.82 35275.12 32774.77 34359.61 31464.08 32777.23 33642.89 31780.72 33248.86 32466.58 33383.16 326
TinyColmap67.30 30264.81 30674.76 30181.92 29956.68 30880.29 28881.49 30660.33 30756.27 35283.22 28424.77 35887.66 29345.52 34169.47 32379.95 344
CHOSEN 280x42066.51 30664.71 30771.90 31681.45 30563.52 22157.98 35768.95 35853.57 34462.59 33576.70 33846.22 29875.29 35355.25 29579.68 22476.88 351
TDRefinement67.49 29964.34 30876.92 28273.47 35661.07 25784.86 22482.98 29259.77 31358.30 34685.13 25926.06 35787.89 29047.92 33260.59 34681.81 336
PM-MVS66.41 30764.14 30973.20 31273.92 35356.45 31078.97 30164.96 36363.88 28164.72 32380.24 31419.84 36283.44 32166.24 20864.52 33979.71 345
KD-MVS_2432*160066.22 30963.89 31073.21 31075.47 34953.42 33470.76 33984.35 26764.10 27566.52 31078.52 32734.55 34984.98 31050.40 31450.33 35781.23 338
miper_refine_blended66.22 30963.89 31073.21 31075.47 34953.42 33470.76 33984.35 26764.10 27566.52 31078.52 32734.55 34984.98 31050.40 31450.33 35781.23 338
MDA-MVSNet-bldmvs66.68 30463.66 31275.75 28979.28 33460.56 26473.92 33178.35 32964.43 27050.13 35779.87 31944.02 31383.67 31946.10 33956.86 34983.03 329
ADS-MVSNet266.20 31163.33 31374.82 30079.92 32458.75 27967.55 34975.19 34153.37 34565.25 32075.86 34142.32 32180.53 33341.57 35068.91 32685.18 305
Patchmatch-test64.82 31463.24 31469.57 32779.42 33349.82 35063.49 35569.05 35751.98 34959.95 34280.13 31550.91 26070.98 35940.66 35273.57 30087.90 255
MDA-MVSNet_test_wron65.03 31262.92 31571.37 31975.93 34456.73 30569.09 34774.73 34457.28 33354.03 35477.89 33245.88 30074.39 35649.89 32061.55 34382.99 330
YYNet165.03 31262.91 31671.38 31875.85 34556.60 30969.12 34674.66 34657.28 33354.12 35377.87 33345.85 30174.48 35549.95 31961.52 34483.05 328
ADS-MVSNet64.36 31562.88 31768.78 33279.92 32447.17 35467.55 34971.18 35053.37 34565.25 32075.86 34142.32 32173.99 35741.57 35068.91 32685.18 305
JIA-IIPM66.32 30862.82 31876.82 28377.09 34261.72 25265.34 35275.38 34058.04 32764.51 32462.32 35442.05 32586.51 30051.45 31069.22 32582.21 333
LF4IMVS64.02 31662.19 31969.50 32870.90 36053.29 33676.13 31777.18 33652.65 34758.59 34480.98 30723.55 35976.52 34753.06 30466.66 33278.68 347
new-patchmatchnet61.73 31861.73 32061.70 33872.74 35924.50 37269.16 34578.03 33061.40 30156.72 35075.53 34338.42 33776.48 34845.95 34057.67 34884.13 318
UnsupCasMVSNet_bld63.70 31761.53 32170.21 32673.69 35451.39 34472.82 33281.89 30155.63 34057.81 34771.80 34938.67 33678.61 33849.26 32352.21 35580.63 341
PVSNet_057.27 2061.67 31959.27 32268.85 33179.61 33057.44 29868.01 34873.44 34855.93 33958.54 34570.41 35044.58 30977.55 34447.01 33435.91 36071.55 354
MVS-HIRNet59.14 32057.67 32363.57 33781.65 30143.50 36071.73 33565.06 36239.59 35851.43 35657.73 35738.34 33882.58 32639.53 35373.95 29664.62 357
DSMNet-mixed57.77 32256.90 32460.38 33967.70 36235.61 36569.18 34453.97 36732.30 36357.49 34879.88 31840.39 33268.57 36138.78 35472.37 30976.97 350
pmmvs357.79 32154.26 32568.37 33364.02 36456.72 30675.12 32765.17 36140.20 35652.93 35569.86 35120.36 36175.48 35245.45 34255.25 35272.90 353
N_pmnet52.79 32553.26 32651.40 34478.99 3367.68 37569.52 3423.89 37551.63 35057.01 34974.98 34440.83 33065.96 36237.78 35564.67 33880.56 343
FPMVS53.68 32451.64 32759.81 34065.08 36351.03 34569.48 34369.58 35541.46 35540.67 35972.32 34816.46 36570.00 36024.24 36265.42 33658.40 359
new_pmnet50.91 32650.29 32852.78 34368.58 36134.94 36763.71 35456.63 36639.73 35744.95 35865.47 35221.93 36058.48 36334.98 35756.62 35064.92 356
LCM-MVSNet54.25 32349.68 32967.97 33453.73 36745.28 35766.85 35180.78 31035.96 36039.45 36062.23 3558.70 37178.06 34248.24 32951.20 35680.57 342
ANet_high50.57 32746.10 33063.99 33648.67 37039.13 36370.99 33880.85 30961.39 30231.18 36257.70 35817.02 36473.65 35831.22 35815.89 36779.18 346
Gipumacopyleft45.18 32841.86 33155.16 34277.03 34351.52 34232.50 36380.52 31432.46 36227.12 36335.02 3639.52 37075.50 35122.31 36360.21 34738.45 362
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 32940.28 33255.82 34140.82 37242.54 36165.12 35363.99 36434.43 36124.48 36457.12 3593.92 37376.17 34917.10 36555.52 35148.75 360
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS240.82 33038.86 33346.69 34553.84 36616.45 37348.61 36049.92 36837.49 35931.67 36160.97 3568.14 37256.42 36428.42 35930.72 36267.19 355
E-PMN31.77 33130.64 33435.15 34852.87 36827.67 36957.09 35847.86 36924.64 36416.40 36933.05 36411.23 36854.90 36514.46 36718.15 36522.87 364
EMVS30.81 33329.65 33534.27 34950.96 36925.95 37156.58 35946.80 37024.01 36515.53 37030.68 36512.47 36754.43 36612.81 36817.05 36622.43 365
test_method31.52 33229.28 33638.23 34727.03 3746.50 37620.94 36562.21 3654.05 36922.35 36752.50 36013.33 36647.58 36727.04 36134.04 36160.62 358
cdsmvs_eth3d_5k19.96 33526.61 3370.00 3550.00 3780.00 3790.00 36689.26 1800.00 3730.00 37488.61 16761.62 1620.00 3740.00 3720.00 3720.00 370
MVEpermissive26.22 2330.37 33425.89 33843.81 34644.55 37135.46 36628.87 36439.07 37118.20 36618.58 36840.18 3622.68 37447.37 36817.07 36623.78 36448.60 361
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tmp_tt18.61 33621.40 33910.23 3524.82 37510.11 37434.70 36230.74 3731.48 37023.91 36626.07 36628.42 35613.41 37127.12 36015.35 3687.17 366
wuyk23d16.82 33715.94 34019.46 35158.74 36531.45 36839.22 3613.74 3766.84 3686.04 3712.70 3701.27 37524.29 37010.54 36914.40 3692.63 367
ab-mvs-re7.23 3389.64 3410.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 37486.72 2170.00 3780.00 3740.00 3720.00 3720.00 370
test1236.12 3398.11 3420.14 3530.06 3770.09 37771.05 3370.03 3780.04 3720.25 3731.30 3720.05 3760.03 3730.21 3710.01 3710.29 368
testmvs6.04 3408.02 3430.10 3540.08 3760.03 37869.74 3410.04 3770.05 3710.31 3721.68 3710.02 3770.04 3720.24 3700.02 3700.25 369
pcd_1.5k_mvsjas5.26 3417.02 3440.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 37363.15 1380.00 3740.00 3720.00 3720.00 370
test_blank0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
uanet_test0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
sosnet-low-res0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
sosnet0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
uncertanet0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
Regformer0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
uanet0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
FOURS195.00 1072.39 4295.06 193.84 1874.49 11591.30 15
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 26
PC_three_145268.21 23192.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 5
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 26
test_one_060195.07 771.46 6194.14 778.27 3592.05 1195.74 680.83 11
eth-test20.00 378
eth-test0.00 378
ZD-MVS94.38 2772.22 4892.67 6770.98 17687.75 3194.07 4574.01 3896.70 2684.66 3994.84 48
IU-MVS95.30 271.25 6392.95 5666.81 23992.39 688.94 1196.63 494.85 12
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5396.48 894.88 9
test_241102_TWO94.06 1277.24 5192.78 495.72 881.26 897.44 589.07 996.58 694.26 35
test_241102_ONE95.30 270.98 7094.06 1277.17 5593.10 195.39 1182.99 197.27 10
save fliter93.80 4472.35 4590.47 6691.17 12974.31 119
test_0728_THIRD78.38 3392.12 995.78 481.46 797.40 789.42 496.57 794.67 18
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 36
test072695.27 571.25 6393.60 694.11 877.33 4992.81 395.79 380.98 9
GSMVS88.96 231
test_part295.06 872.65 3391.80 13
sam_mvs151.32 25788.96 231
sam_mvs50.01 270
ambc75.24 29673.16 35750.51 34863.05 35687.47 22964.28 32577.81 33417.80 36389.73 26357.88 28060.64 34585.49 301
MTGPAbinary92.02 94
test_post178.90 3035.43 36948.81 28585.44 30859.25 265
test_post5.46 36850.36 26884.24 315
patchmatchnet-post74.00 34551.12 25988.60 282
GG-mvs-BLEND75.38 29581.59 30355.80 31979.32 29669.63 35467.19 30173.67 34643.24 31588.90 28050.41 31384.50 16981.45 337
MTMP92.18 3332.83 372
gm-plane-assit81.40 30653.83 33162.72 29280.94 30892.39 20063.40 230
test9_res84.90 3395.70 3192.87 98
TEST993.26 5672.96 2688.75 11391.89 10368.44 22985.00 5493.10 6574.36 3395.41 77
test_893.13 5872.57 3688.68 11891.84 10668.69 22584.87 6093.10 6574.43 3095.16 89
agg_prior282.91 6395.45 3392.70 101
agg_prior92.85 6671.94 5491.78 10984.41 6994.93 98
TestCases79.58 24485.15 23863.62 21679.83 32262.31 29560.32 34086.73 21532.02 35288.96 27850.28 31671.57 31686.15 293
test_prior472.60 3589.01 102
test_prior288.85 10875.41 9684.91 5693.54 5474.28 3483.31 5595.86 22
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7193.91 49
旧先验286.56 18358.10 32687.04 3588.98 27674.07 140
新几何286.29 191
新几何183.42 14493.13 5870.71 8085.48 25557.43 33181.80 10591.98 8263.28 13392.27 20464.60 22492.99 7187.27 270
旧先验191.96 8265.79 17786.37 24693.08 6969.31 7992.74 7588.74 240
无先验87.48 15588.98 19260.00 31194.12 12967.28 20088.97 230
原ACMM286.86 172
原ACMM184.35 11493.01 6468.79 11692.44 7563.96 28081.09 11691.57 9366.06 10895.45 7367.19 20394.82 5188.81 237
test22291.50 8868.26 13384.16 24283.20 28954.63 34379.74 12691.63 9158.97 19391.42 8986.77 283
testdata291.01 24562.37 239
segment_acmp73.08 43
testdata79.97 23590.90 9664.21 20784.71 26259.27 31885.40 4892.91 7062.02 15889.08 27468.95 18891.37 9086.63 287
testdata184.14 24375.71 90
test1286.80 5592.63 7370.70 8191.79 10882.71 9671.67 5596.16 4794.50 5693.54 73
plane_prior790.08 11268.51 129
plane_prior689.84 11768.70 12460.42 186
plane_prior592.44 7595.38 8078.71 9786.32 15291.33 144
plane_prior491.00 111
plane_prior368.60 12778.44 3178.92 136
plane_prior291.25 4979.12 24
plane_prior189.90 116
plane_prior68.71 12290.38 7077.62 4086.16 155
n20.00 379
nn0.00 379
door-mid69.98 353
lessismore_v078.97 25281.01 31457.15 30065.99 36061.16 33882.82 28939.12 33591.34 23459.67 26146.92 35988.43 247
LGP-MVS_train84.50 10689.23 14168.76 11891.94 10175.37 9876.64 18591.51 9454.29 22694.91 10078.44 10183.78 17689.83 205
test1192.23 86
door69.44 356
HQP5-MVS66.98 156
HQP-NCC89.33 13189.17 9576.41 7477.23 172
ACMP_Plane89.33 13189.17 9576.41 7477.23 172
BP-MVS77.47 111
HQP4-MVS77.24 17195.11 9191.03 154
HQP3-MVS92.19 8985.99 158
HQP2-MVS60.17 189
NP-MVS89.62 11968.32 13190.24 122
MDTV_nov1_ep13_2view37.79 36475.16 32555.10 34166.53 30949.34 27953.98 29987.94 254
ACMMP++_ref81.95 202
ACMMP++81.25 207
Test By Simon64.33 123
ITE_SJBPF78.22 26381.77 30060.57 26383.30 28569.25 20967.54 29787.20 20636.33 34487.28 29654.34 29874.62 29186.80 282
DeepMVS_CXcopyleft27.40 35040.17 37326.90 37024.59 37417.44 36723.95 36548.61 3619.77 36926.48 36918.06 36424.47 36328.83 363