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 80
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 49
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 19
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 26
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2293.63 2374.77 11092.29 795.97 274.28 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 91
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 32
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 14
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 22
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 68
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 11788.86 2294.61 2175.23 2495.84 5886.62 2695.92 2194.78 16
9.1488.26 1592.84 6891.52 4594.75 173.93 13088.57 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 11488.90 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 41
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 40
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6689.69 16874.31 12089.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 14
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 33
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3193.49 3074.75 11188.33 2594.43 3273.27 4297.02 1684.18 4994.84 4893.82 57
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 22
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 70
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 14888.58 2394.52 2373.36 4096.49 3784.26 4695.01 4292.70 102
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 63
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6194.05 1570.80 17987.59 3393.51 5677.57 1496.63 3183.31 5595.77 2694.72 18
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 83
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8772.45 4190.02 7794.37 471.76 16287.28 3494.27 3675.18 2596.08 4985.16 3095.77 2693.80 60
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 52
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8193.82 1973.07 14684.86 6192.89 7176.22 1796.33 3984.89 3595.13 4194.40 29
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 47
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 44
#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 63
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18392.02 9479.45 1985.88 4294.80 1668.07 8696.21 4386.69 2495.34 3693.23 83
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 33
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 83
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 42
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 68
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 50
SR-MVS86.73 3986.67 4086.91 5294.11 4072.11 5192.37 2692.56 7374.50 11586.84 3794.65 2067.31 9595.77 6084.80 3792.85 7492.84 100
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 38
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 13271.24 6788.43 12392.05 9382.50 186.88 3690.09 12774.45 2995.61 6384.38 4390.63 9994.01 46
DROMVSNet86.01 5186.38 4384.91 9589.31 13766.27 16792.32 2893.63 2379.37 2184.17 7591.88 8669.04 8395.43 7583.93 5293.77 6793.01 94
Regformer-186.41 4786.33 4486.64 5889.33 13270.93 7588.43 12391.39 12282.14 386.65 3890.09 12774.39 3295.01 9783.97 5190.63 9993.97 48
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 77
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 63
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 98
train_agg86.43 4586.20 4887.13 4993.26 5672.96 2688.75 11391.89 10368.69 22685.00 5493.10 6574.43 3095.41 7784.97 3295.71 3093.02 93
CSCG86.41 4786.19 4987.07 5092.91 6572.48 3890.81 5793.56 2673.95 12883.16 8891.07 10875.94 1895.19 8879.94 9294.38 6093.55 73
PHI-MVS86.43 4586.17 5087.24 4690.88 9770.96 7292.27 3094.07 1172.45 15185.22 5291.90 8569.47 7696.42 3883.28 5895.94 2094.35 31
CANet86.45 4486.10 5187.51 4090.09 11170.94 7489.70 8792.59 7281.78 481.32 11191.43 9970.34 6697.23 1284.26 4693.36 7094.37 30
agg_prior186.22 4986.09 5286.62 5992.85 6671.94 5488.59 12091.78 10968.96 22184.41 6993.18 6474.94 2694.93 9884.75 3895.33 3893.01 94
APD-MVS_3200maxsize85.97 5285.88 5386.22 6792.69 7269.53 10391.93 3692.99 4973.54 13885.94 4194.51 2665.80 11295.61 6383.04 6292.51 7993.53 75
canonicalmvs85.91 5385.87 5486.04 7289.84 11869.44 10890.45 6993.00 4776.70 7188.01 2991.23 10273.28 4193.91 14081.50 7788.80 12094.77 17
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 6190.16 185
SR-MVS-dyc-post85.77 5585.61 5686.23 6693.06 6270.63 8291.88 3792.27 8373.53 13985.69 4694.45 2865.00 12095.56 6682.75 6591.87 8492.50 109
RE-MVS-def85.48 5793.06 6270.63 8291.88 3792.27 8373.53 13985.69 4694.45 2863.87 12782.75 6591.87 8492.50 109
Regformer-485.68 5885.45 5886.35 6288.95 15169.67 10088.29 13391.29 12481.73 585.36 4990.01 13072.62 4795.35 8483.28 5887.57 13294.03 44
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 9893.23 83
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 12574.15 3795.37 8381.82 7591.88 8392.65 106
alignmvs85.48 5985.32 6185.96 7489.51 12569.47 10589.74 8592.47 7476.17 8287.73 3291.46 9870.32 6793.78 14581.51 7688.95 11794.63 21
DELS-MVS85.41 6285.30 6285.77 7588.49 16967.93 13985.52 21593.44 3278.70 2983.63 8589.03 15974.57 2895.71 6280.26 9094.04 6593.66 63
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 23184.61 6693.48 5772.32 4996.15 4879.00 9495.43 3494.28 35
CS-MVS-test85.02 6985.21 6484.46 10889.28 13965.70 17991.16 5293.56 2677.83 3881.80 10589.89 13270.67 6495.61 6380.39 8792.34 8192.06 126
casdiffmvs85.11 6785.14 6585.01 8987.20 21065.77 17887.75 14992.83 6177.84 3784.36 7292.38 7872.15 5193.93 13981.27 7990.48 10195.33 1
Regformer-385.23 6485.07 6685.70 7688.95 15169.01 11288.29 13389.91 16280.95 885.01 5390.01 13072.45 4894.19 12682.50 7187.57 13293.90 52
baseline84.93 7084.98 6784.80 10087.30 20865.39 18687.30 16192.88 5877.62 4084.04 7892.26 7971.81 5393.96 13381.31 7890.30 10395.03 4
CS-MVS84.53 7384.97 6883.23 15487.54 20263.27 22888.82 11093.50 2875.98 8783.07 8989.73 13770.29 6895.23 8682.07 7493.70 6991.18 149
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 9793.07 90
abl_685.23 6484.95 7086.07 7192.23 7970.48 8690.80 5892.08 9273.51 14185.26 5094.16 4162.75 14495.92 5782.46 7291.30 9391.81 133
HPM-MVS_fast85.35 6384.95 7086.57 6193.69 4870.58 8592.15 3491.62 11373.89 13182.67 9794.09 4462.60 14595.54 6980.93 8192.93 7293.57 72
MVS_111021_HR85.14 6684.75 7286.32 6591.65 8672.70 3185.98 19890.33 15076.11 8382.08 10091.61 9371.36 5894.17 12881.02 8092.58 7892.08 125
ETV-MVS84.90 7284.67 7385.59 7789.39 13068.66 12688.74 11592.64 7179.97 1784.10 7685.71 24669.32 7895.38 8080.82 8391.37 9192.72 101
3Dnovator+77.84 485.48 5984.47 7488.51 691.08 9273.49 1793.18 1193.78 2180.79 1076.66 18593.37 6060.40 18896.75 2577.20 11493.73 6895.29 2
DPM-MVS84.93 7084.29 7586.84 5390.20 10973.04 2487.12 16593.04 4369.80 19982.85 9391.22 10373.06 4496.02 5176.72 12194.63 5391.46 143
EI-MVSNet-Vis-set84.19 7483.81 7685.31 8088.18 17867.85 14087.66 15189.73 16780.05 1682.95 9089.59 14370.74 6394.82 10680.66 8684.72 16893.28 82
nrg03083.88 7583.53 7784.96 9186.77 21869.28 10990.46 6892.67 6774.79 10982.95 9091.33 10172.70 4693.09 18080.79 8579.28 23492.50 109
MG-MVS83.41 8383.45 7883.28 14992.74 7162.28 24488.17 13889.50 17275.22 10181.49 11092.74 7766.75 9895.11 9172.85 15491.58 8892.45 112
EI-MVSNet-UG-set83.81 7683.38 7985.09 8787.87 18767.53 14687.44 15789.66 16979.74 1882.23 9989.41 15270.24 6994.74 10979.95 9183.92 17692.99 96
CPTT-MVS83.73 7783.33 8084.92 9493.28 5570.86 7792.09 3590.38 14668.75 22579.57 12992.83 7360.60 18493.04 18480.92 8291.56 8990.86 161
HQP_MVS83.64 7983.14 8185.14 8590.08 11268.71 12291.25 4992.44 7579.12 2478.92 13791.00 11260.42 18695.38 8078.71 9786.32 15391.33 145
Effi-MVS+83.62 8083.08 8285.24 8388.38 17467.45 14788.89 10689.15 18575.50 9582.27 9888.28 17869.61 7594.45 11677.81 10887.84 13093.84 56
MVS_Test83.15 8783.06 8383.41 14686.86 21463.21 23086.11 19692.00 9774.31 12082.87 9289.44 15170.03 7093.21 17077.39 11388.50 12693.81 58
EPP-MVSNet83.40 8483.02 8484.57 10490.13 11064.47 20292.32 2890.73 13874.45 11979.35 13291.10 10669.05 8295.12 9072.78 15587.22 14094.13 39
OPM-MVS83.50 8182.95 8585.14 8588.79 15970.95 7389.13 10091.52 11677.55 4580.96 11891.75 8860.71 18094.50 11579.67 9386.51 15189.97 201
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EPNet83.72 7882.92 8686.14 6984.22 25369.48 10491.05 5485.27 25781.30 776.83 18091.65 9066.09 10795.56 6676.00 12693.85 6693.38 77
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 11663.30 22791.59 4288.46 20979.04 2679.49 13092.16 8065.10 11794.28 11967.71 19691.86 8694.95 5
EIA-MVS83.31 8682.80 8884.82 9889.59 12165.59 18188.21 13692.68 6674.66 11378.96 13586.42 23469.06 8195.26 8575.54 13190.09 10793.62 70
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 9593.35 79
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 15858.34 28288.26 13593.49 3076.93 6278.47 14791.04 10969.92 7292.34 20369.87 17984.97 16592.44 113
VNet82.21 10082.41 9181.62 19990.82 9860.93 25884.47 23489.78 16476.36 7984.07 7791.88 8664.71 12290.26 25570.68 16988.89 11893.66 63
PAPM_NR83.02 9182.41 9184.82 9892.47 7766.37 16587.93 14691.80 10773.82 13277.32 17090.66 11767.90 8994.90 10270.37 17289.48 11493.19 87
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 12294.57 24
3Dnovator76.31 583.38 8582.31 9486.59 6087.94 18672.94 2990.64 6092.14 9177.21 5375.47 21092.83 7358.56 19594.72 11073.24 15192.71 7692.13 124
h-mvs3383.15 8782.19 9586.02 7390.56 10270.85 7888.15 14089.16 18476.02 8584.67 6391.39 10061.54 16395.50 7082.71 6775.48 27791.72 135
MVS_111021_LR82.61 9782.11 9684.11 12188.82 15671.58 5985.15 21886.16 24974.69 11280.47 12391.04 10962.29 15290.55 25380.33 8990.08 10890.20 184
DP-MVS Recon83.11 9082.09 9786.15 6894.44 2170.92 7688.79 11192.20 8870.53 18679.17 13391.03 11164.12 12596.03 5068.39 19390.14 10691.50 140
test_part182.78 9482.08 9884.89 9690.66 10066.97 15890.96 5592.93 5777.19 5480.53 12290.04 12963.44 13095.39 7976.04 12576.90 25492.31 116
MVSFormer82.85 9382.05 9985.24 8387.35 20370.21 8890.50 6490.38 14668.55 22881.32 11189.47 14661.68 16093.46 16378.98 9590.26 10492.05 127
FC-MVSNet-test81.52 11582.02 10080.03 23588.42 17355.97 31887.95 14493.42 3477.10 5877.38 16890.98 11469.96 7191.79 22268.46 19284.50 17092.33 114
HQP-MVS82.61 9782.02 10084.37 11289.33 13266.98 15689.17 9592.19 8976.41 7477.23 17390.23 12460.17 18995.11 9177.47 11185.99 15991.03 155
OMC-MVS82.69 9581.97 10284.85 9788.75 16167.42 14887.98 14290.87 13674.92 10879.72 12891.65 9062.19 15593.96 13375.26 13386.42 15293.16 88
diffmvs82.10 10181.88 10382.76 18083.00 27963.78 21583.68 25089.76 16572.94 14982.02 10189.85 13465.96 11190.79 24982.38 7387.30 13993.71 62
PVSNet_Blended_VisFu82.62 9681.83 10484.96 9190.80 9969.76 9888.74 11591.70 11269.39 20678.96 13588.46 17365.47 11494.87 10574.42 13688.57 12390.24 183
CLD-MVS82.31 9981.65 10584.29 11788.47 17067.73 14385.81 20692.35 8075.78 8978.33 15086.58 22964.01 12694.35 11776.05 12487.48 13790.79 162
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 17163.46 22387.13 16492.37 7980.19 1478.38 14889.14 15471.66 5693.05 18270.05 17576.46 26292.25 119
PS-MVSNAJss82.07 10381.31 10784.34 11586.51 22167.27 15289.27 9391.51 11771.75 16379.37 13190.22 12563.15 13894.27 12077.69 10982.36 19991.49 141
LPG-MVS_test82.08 10281.27 10884.50 10689.23 14268.76 11890.22 7491.94 10175.37 9876.64 18691.51 9554.29 22694.91 10078.44 10183.78 17789.83 206
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 11093.85 54
API-MVS81.99 10581.23 10984.26 11890.94 9570.18 9391.10 5389.32 17671.51 16978.66 14288.28 17865.26 11595.10 9464.74 22491.23 9487.51 265
UniMVSNet (Re)81.60 11481.11 11183.09 16088.38 17464.41 20487.60 15293.02 4678.42 3278.56 14488.16 18269.78 7393.26 16969.58 18276.49 26191.60 136
xiu_mvs_v2_base81.69 11181.05 11283.60 13989.15 14568.03 13884.46 23690.02 15870.67 18381.30 11486.53 23263.17 13794.19 12675.60 13088.54 12488.57 245
PS-MVSNAJ81.69 11181.02 11383.70 13889.51 12568.21 13584.28 24290.09 15770.79 18081.26 11585.62 25063.15 13894.29 11875.62 12988.87 11988.59 244
GeoE81.71 11081.01 11483.80 13789.51 12564.45 20388.97 10388.73 20471.27 17278.63 14389.76 13666.32 10493.20 17269.89 17886.02 15893.74 61
hse-mvs281.72 10980.94 11584.07 12488.72 16267.68 14485.87 20287.26 23376.02 8584.67 6388.22 18161.54 16393.48 16182.71 6773.44 30491.06 153
PAPR81.66 11380.89 11683.99 13290.27 10764.00 21086.76 17991.77 11168.84 22477.13 17889.50 14467.63 9194.88 10467.55 19888.52 12593.09 89
MAR-MVS81.84 10780.70 11785.27 8291.32 9071.53 6089.82 8190.92 13469.77 20078.50 14586.21 23862.36 15194.52 11465.36 21892.05 8289.77 209
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 17483.18 8793.48 5750.54 26693.49 16073.40 14888.25 12894.54 25
ACMP74.13 681.51 11780.57 11984.36 11389.42 12868.69 12589.97 7991.50 12074.46 11875.04 22890.41 12153.82 23194.54 11277.56 11082.91 19189.86 205
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
VPA-MVSNet80.60 13780.55 12080.76 22288.07 18260.80 26186.86 17391.58 11575.67 9380.24 12489.45 15063.34 13290.25 25670.51 17179.22 23591.23 148
DU-MVS81.12 12280.52 12182.90 17087.80 19063.46 22387.02 16891.87 10579.01 2778.38 14889.07 15765.02 11893.05 18270.05 17576.46 26292.20 121
test_yl81.17 12080.47 12283.24 15289.13 14663.62 21686.21 19389.95 16072.43 15481.78 10789.61 14157.50 20493.58 15470.75 16786.90 14492.52 107
DCV-MVSNet81.17 12080.47 12283.24 15289.13 14663.62 21686.21 19389.95 16072.43 15481.78 10789.61 14157.50 20493.58 15470.75 16786.90 14492.52 107
PVSNet_Blended80.98 12380.34 12482.90 17088.85 15365.40 18484.43 23892.00 9767.62 23578.11 15585.05 26366.02 10994.27 12071.52 16189.50 11389.01 228
TranMVSNet+NR-MVSNet80.84 12680.31 12582.42 18587.85 18862.33 24287.74 15091.33 12380.55 1177.99 15889.86 13365.23 11692.62 19267.05 20675.24 28792.30 117
jason81.39 11880.29 12684.70 10286.63 22069.90 9585.95 19986.77 24063.24 28381.07 11789.47 14661.08 17692.15 21178.33 10490.07 10992.05 127
jason: jason.
lupinMVS81.39 11880.27 12784.76 10187.35 20370.21 8885.55 21186.41 24462.85 29081.32 11188.61 16861.68 16092.24 20878.41 10390.26 10491.83 131
PVSNet_BlendedMVS80.60 13780.02 12882.36 18788.85 15365.40 18486.16 19592.00 9769.34 20878.11 15586.09 24166.02 10994.27 12071.52 16182.06 20187.39 267
EI-MVSNet80.52 14079.98 12982.12 18884.28 25163.19 23286.41 18788.95 19574.18 12578.69 14087.54 19766.62 9992.43 19872.57 15780.57 21890.74 165
Fast-Effi-MVS+80.81 12979.92 13083.47 14288.85 15364.51 19985.53 21389.39 17470.79 18078.49 14685.06 26267.54 9293.58 15467.03 20786.58 14992.32 115
CANet_DTU80.61 13679.87 13182.83 17285.60 23263.17 23387.36 15888.65 20576.37 7875.88 20488.44 17453.51 23393.07 18173.30 14989.74 11292.25 119
ACMM73.20 880.78 13479.84 13283.58 14089.31 13768.37 13089.99 7891.60 11470.28 19077.25 17189.66 13953.37 23493.53 15974.24 13982.85 19288.85 236
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 22885.42 25657.37 33381.76 10992.02 8263.41 13194.12 12967.28 20192.93 7287.26 272
XVG-OURS-SEG-HR80.81 12979.76 13483.96 13485.60 23268.78 11783.54 25690.50 14370.66 18476.71 18491.66 8960.69 18191.26 23676.94 11881.58 20691.83 131
xiu_mvs_v1_base_debu80.80 13179.72 13584.03 12987.35 20370.19 9085.56 20888.77 19969.06 21781.83 10288.16 18250.91 26092.85 18878.29 10587.56 13489.06 223
xiu_mvs_v1_base80.80 13179.72 13584.03 12987.35 20370.19 9085.56 20888.77 19969.06 21781.83 10288.16 18250.91 26092.85 18878.29 10587.56 13489.06 223
xiu_mvs_v1_base_debi80.80 13179.72 13584.03 12987.35 20370.19 9085.56 20888.77 19969.06 21781.83 10288.16 18250.91 26092.85 18878.29 10587.56 13489.06 223
UGNet80.83 12879.59 13884.54 10588.04 18368.09 13689.42 9088.16 21176.95 6176.22 19589.46 14849.30 28093.94 13668.48 19190.31 10291.60 136
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 32474.08 23890.72 11658.10 19795.04 9669.70 18089.42 11590.30 181
QAPM80.88 12479.50 14085.03 8888.01 18568.97 11491.59 4292.00 9766.63 24775.15 22492.16 8057.70 20195.45 7363.52 22888.76 12190.66 167
AdaColmapbinary80.58 13979.42 14184.06 12593.09 6168.91 11589.36 9188.97 19469.27 20975.70 20789.69 13857.20 20995.77 6063.06 23488.41 12787.50 266
mvs-test180.88 12479.40 14285.29 8185.13 24169.75 9989.28 9288.10 21374.99 10676.44 19186.72 21857.27 20794.26 12473.53 14483.18 18891.87 130
NR-MVSNet80.23 14579.38 14382.78 17887.80 19063.34 22686.31 19091.09 13279.01 2772.17 25689.07 15767.20 9692.81 19166.08 21375.65 27392.20 121
IterMVS-LS80.06 14879.38 14382.11 18985.89 22763.20 23186.79 17689.34 17574.19 12475.45 21386.72 21866.62 9992.39 20072.58 15676.86 25690.75 164
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 25865.37 18790.50 6490.38 14668.55 22876.19 19688.70 16456.44 21393.46 16378.98 9580.14 22490.97 158
v2v48280.23 14579.29 14683.05 16383.62 26364.14 20887.04 16789.97 15973.61 13578.18 15487.22 20661.10 17593.82 14376.11 12376.78 25991.18 149
XVG-OURS80.41 14179.23 14783.97 13385.64 23169.02 11183.03 26490.39 14571.09 17577.63 16491.49 9754.62 22591.35 23475.71 12783.47 18491.54 138
WR-MVS79.49 15879.22 14880.27 23188.79 15958.35 28185.06 22088.61 20778.56 3077.65 16388.34 17663.81 12990.66 25264.98 22277.22 25091.80 134
ECVR-MVS79.43 16179.18 14980.15 23389.99 11453.31 33687.33 16077.05 33775.04 10580.23 12592.77 7648.97 28492.33 20468.87 18992.40 8094.81 13
mvs_anonymous79.42 16279.11 15080.34 22984.45 25057.97 28882.59 26687.62 22567.40 23876.17 19988.56 17168.47 8589.59 26670.65 17086.05 15793.47 76
v114480.03 14979.03 15183.01 16583.78 26164.51 19987.11 16690.57 14271.96 16178.08 15786.20 23961.41 16793.94 13674.93 13477.23 24990.60 170
v879.97 15179.02 15282.80 17584.09 25564.50 20187.96 14390.29 15374.13 12775.24 22286.81 21562.88 14393.89 14274.39 13775.40 28190.00 197
ab-mvs79.51 15778.97 15381.14 21488.46 17160.91 25983.84 24889.24 18170.36 18879.03 13488.87 16263.23 13690.21 25765.12 22082.57 19792.28 118
Anonymous2024052980.19 14778.89 15484.10 12290.60 10164.75 19688.95 10490.90 13565.97 25580.59 12191.17 10549.97 27193.73 15169.16 18682.70 19693.81 58
PCF-MVS73.52 780.38 14278.84 15585.01 8987.71 19468.99 11383.65 25191.46 12163.00 28777.77 16290.28 12266.10 10695.09 9561.40 25088.22 12990.94 159
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
v1079.74 15478.67 15682.97 16884.06 25664.95 19387.88 14890.62 14073.11 14575.11 22586.56 23061.46 16694.05 13273.68 14275.55 27589.90 203
VPNet78.69 18078.66 15778.76 25688.31 17655.72 32084.45 23786.63 24276.79 6678.26 15190.55 11959.30 19189.70 26566.63 20877.05 25290.88 160
BH-untuned79.47 15978.60 15882.05 19189.19 14465.91 17486.07 19788.52 20872.18 15775.42 21487.69 19261.15 17493.54 15860.38 25786.83 14686.70 286
Effi-MVS+-dtu80.03 14978.57 15984.42 11085.13 24168.74 12088.77 11288.10 21374.99 10674.97 22983.49 28257.27 20793.36 16673.53 14480.88 21291.18 149
WR-MVS_H78.51 18478.49 16078.56 25988.02 18456.38 31388.43 12392.67 6777.14 5673.89 23987.55 19666.25 10589.24 27258.92 27073.55 30290.06 195
Vis-MVSNet (Re-imp)78.36 18878.45 16178.07 26788.64 16551.78 34186.70 18079.63 32474.14 12675.11 22590.83 11561.29 17189.75 26358.10 27991.60 8792.69 104
BH-RMVSNet79.61 15578.44 16283.14 15889.38 13165.93 17384.95 22387.15 23573.56 13778.19 15389.79 13556.67 21293.36 16659.53 26486.74 14790.13 187
v119279.59 15678.43 16383.07 16283.55 26564.52 19886.93 17190.58 14170.83 17877.78 16185.90 24259.15 19293.94 13673.96 14177.19 25190.76 163
RRT_MVS79.88 15278.38 16484.38 11185.42 23570.60 8488.71 11788.75 20372.30 15678.83 13989.14 15444.44 31192.18 21078.50 10079.33 23390.35 179
v14419279.47 15978.37 16582.78 17883.35 26763.96 21186.96 16990.36 14969.99 19477.50 16585.67 24860.66 18293.77 14774.27 13876.58 26090.62 168
CP-MVSNet78.22 19078.34 16677.84 26987.83 18954.54 32587.94 14591.17 12977.65 3973.48 24188.49 17262.24 15488.43 28562.19 24174.07 29590.55 172
Baseline_NR-MVSNet78.15 19478.33 16777.61 27485.79 22856.21 31686.78 17785.76 25373.60 13677.93 15987.57 19565.02 11888.99 27667.14 20575.33 28387.63 261
OpenMVScopyleft72.83 1079.77 15378.33 16784.09 12385.17 23869.91 9490.57 6290.97 13366.70 24372.17 25691.91 8454.70 22393.96 13361.81 24790.95 9688.41 249
UniMVSNet_ETH3D79.10 17178.24 16981.70 19886.85 21560.24 26887.28 16288.79 19874.25 12376.84 17990.53 12049.48 27791.56 22867.98 19482.15 20093.29 81
V4279.38 16578.24 16982.83 17281.10 31465.50 18385.55 21189.82 16371.57 16878.21 15286.12 24060.66 18293.18 17575.64 12875.46 27989.81 208
PS-CasMVS78.01 19978.09 17177.77 27187.71 19454.39 32788.02 14191.22 12677.50 4773.26 24388.64 16760.73 17988.41 28661.88 24573.88 29990.53 173
v192192079.22 16778.03 17282.80 17583.30 26963.94 21286.80 17590.33 15069.91 19777.48 16685.53 25158.44 19693.75 14973.60 14376.85 25790.71 166
jajsoiax79.29 16677.96 17383.27 15084.68 24766.57 16389.25 9490.16 15569.20 21375.46 21289.49 14545.75 30593.13 17876.84 11980.80 21490.11 189
TAPA-MVS73.13 979.15 16977.94 17482.79 17789.59 12162.99 23788.16 13991.51 11765.77 25677.14 17791.09 10760.91 17893.21 17050.26 31987.05 14292.17 123
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
tttt051779.40 16377.91 17583.90 13688.10 18163.84 21388.37 13084.05 27371.45 17076.78 18289.12 15649.93 27494.89 10370.18 17483.18 18892.96 97
c3_l78.75 17877.91 17581.26 21082.89 28361.56 25384.09 24689.13 18769.97 19575.56 20884.29 27066.36 10392.09 21373.47 14775.48 27790.12 188
MVSTER79.01 17377.88 17782.38 18683.07 27664.80 19584.08 24788.95 19569.01 22078.69 14087.17 20954.70 22392.43 19874.69 13580.57 21889.89 204
X-MVStestdata80.37 14377.83 17888.00 1594.42 2273.33 2092.78 1792.99 4979.14 2283.67 8312.47 36867.45 9396.60 3483.06 6094.50 5694.07 42
v14878.72 17977.80 17981.47 20382.73 28661.96 24886.30 19188.08 21573.26 14476.18 19785.47 25362.46 14992.36 20271.92 16073.82 30090.09 191
v124078.99 17477.78 18082.64 18183.21 27163.54 22086.62 18290.30 15269.74 20377.33 16985.68 24757.04 21093.76 14873.13 15276.92 25390.62 168
mvs_tets79.13 17077.77 18183.22 15584.70 24666.37 16589.17 9590.19 15469.38 20775.40 21589.46 14844.17 31393.15 17676.78 12080.70 21690.14 186
miper_ehance_all_eth78.59 18377.76 18281.08 21682.66 28861.56 25383.65 25189.15 18568.87 22375.55 20983.79 27866.49 10192.03 21473.25 15076.39 26489.64 212
thisisatest053079.40 16377.76 18284.31 11687.69 19665.10 19287.36 15884.26 27170.04 19377.42 16788.26 18049.94 27294.79 10870.20 17384.70 16993.03 92
CDS-MVSNet79.07 17277.70 18483.17 15787.60 19768.23 13484.40 24086.20 24867.49 23776.36 19286.54 23161.54 16390.79 24961.86 24687.33 13890.49 174
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
Anonymous2023121178.97 17577.69 18582.81 17490.54 10364.29 20690.11 7691.51 11765.01 26676.16 20088.13 18750.56 26593.03 18569.68 18177.56 24791.11 152
PEN-MVS77.73 20477.69 18577.84 26987.07 21353.91 33087.91 14791.18 12877.56 4473.14 24588.82 16361.23 17289.17 27359.95 26072.37 31090.43 176
AUN-MVS79.21 16877.60 18784.05 12688.71 16367.61 14585.84 20487.26 23369.08 21677.23 17388.14 18653.20 23693.47 16275.50 13273.45 30391.06 153
v7n78.97 17577.58 18883.14 15883.45 26665.51 18288.32 13191.21 12773.69 13472.41 25386.32 23757.93 19893.81 14469.18 18575.65 27390.11 189
TAMVS78.89 17777.51 18983.03 16487.80 19067.79 14284.72 22785.05 26067.63 23476.75 18387.70 19162.25 15390.82 24858.53 27587.13 14190.49 174
RRT_test8_iter0578.38 18777.40 19081.34 20886.00 22658.86 27786.55 18591.26 12572.13 16075.91 20287.42 20044.97 30893.73 15177.02 11775.30 28491.45 144
GBi-Net78.40 18577.40 19081.40 20587.60 19763.01 23488.39 12789.28 17771.63 16575.34 21787.28 20254.80 21991.11 23962.72 23579.57 22790.09 191
test178.40 18577.40 19081.40 20587.60 19763.01 23488.39 12789.28 17771.63 16575.34 21787.28 20254.80 21991.11 23962.72 23579.57 22790.09 191
BH-w/o78.21 19177.33 19380.84 22088.81 15765.13 19184.87 22487.85 22269.75 20174.52 23484.74 26661.34 16993.11 17958.24 27885.84 16184.27 316
FMVSNet278.20 19277.21 19481.20 21287.60 19762.89 23887.47 15689.02 19071.63 16575.29 22187.28 20254.80 21991.10 24262.38 23979.38 23189.61 213
anonymousdsp78.60 18277.15 19582.98 16780.51 32067.08 15487.24 16389.53 17165.66 25875.16 22387.19 20852.52 23792.25 20777.17 11579.34 23289.61 213
HY-MVS69.67 1277.95 20077.15 19580.36 22887.57 20160.21 26983.37 25887.78 22366.11 25175.37 21687.06 21363.27 13490.48 25461.38 25182.43 19890.40 178
cl2278.07 19677.01 19781.23 21182.37 29561.83 25083.55 25587.98 21768.96 22175.06 22783.87 27461.40 16891.88 22173.53 14476.39 26489.98 200
Anonymous20240521178.25 18977.01 19781.99 19391.03 9360.67 26284.77 22683.90 27570.65 18580.00 12691.20 10441.08 33091.43 23265.21 21985.26 16393.85 54
MVS78.19 19376.99 19981.78 19685.66 23066.99 15584.66 22890.47 14455.08 34372.02 25885.27 25663.83 12894.11 13166.10 21289.80 11184.24 317
LCM-MVSNet-Re77.05 21676.94 20077.36 27787.20 21051.60 34280.06 29080.46 31675.20 10267.69 29786.72 21862.48 14888.98 27763.44 23089.25 11691.51 139
miper_enhance_ethall77.87 20376.86 20180.92 21981.65 30261.38 25582.68 26588.98 19265.52 26075.47 21082.30 29665.76 11392.00 21672.95 15376.39 26489.39 217
FMVSNet377.88 20276.85 20280.97 21886.84 21662.36 24186.52 18688.77 19971.13 17375.34 21786.66 22554.07 22991.10 24262.72 23579.57 22789.45 216
DTE-MVSNet76.99 21776.80 20377.54 27686.24 22353.06 33887.52 15490.66 13977.08 5972.50 25188.67 16660.48 18589.52 26757.33 28670.74 32190.05 196
CNLPA78.08 19576.79 20481.97 19490.40 10671.07 6987.59 15384.55 26566.03 25472.38 25489.64 14057.56 20386.04 30459.61 26383.35 18588.79 239
cl____77.72 20576.76 20580.58 22482.49 29260.48 26583.09 26187.87 22069.22 21174.38 23685.22 25862.10 15691.53 22971.09 16575.41 28089.73 211
DIV-MVS_self_test77.72 20576.76 20580.58 22482.48 29360.48 26583.09 26187.86 22169.22 21174.38 23685.24 25762.10 15691.53 22971.09 16575.40 28189.74 210
baseline176.98 21876.75 20777.66 27288.13 17955.66 32185.12 21981.89 30173.04 14776.79 18188.90 16062.43 15087.78 29363.30 23271.18 31989.55 215
eth_miper_zixun_eth77.92 20176.69 20881.61 20183.00 27961.98 24783.15 26089.20 18369.52 20574.86 23184.35 26961.76 15992.56 19571.50 16372.89 30890.28 182
pm-mvs177.25 21476.68 20978.93 25484.22 25358.62 28086.41 18788.36 21071.37 17173.31 24288.01 18861.22 17389.15 27464.24 22673.01 30789.03 227
ET-MVSNet_ETH3D78.63 18176.63 21084.64 10386.73 21969.47 10585.01 22184.61 26469.54 20466.51 31386.59 22750.16 26991.75 22376.26 12284.24 17492.69 104
Fast-Effi-MVS+-dtu78.02 19876.49 21182.62 18283.16 27566.96 15986.94 17087.45 23072.45 15171.49 26384.17 27154.79 22291.58 22767.61 19780.31 22189.30 219
1112_ss77.40 21276.43 21280.32 23089.11 15060.41 26783.65 25187.72 22462.13 29873.05 24686.72 21862.58 14789.97 26062.11 24480.80 21490.59 171
PAPM77.68 20776.40 21381.51 20287.29 20961.85 24983.78 24989.59 17064.74 26871.23 26488.70 16462.59 14693.66 15352.66 30687.03 14389.01 228
PLCcopyleft70.83 1178.05 19776.37 21483.08 16191.88 8567.80 14188.19 13789.46 17364.33 27469.87 28288.38 17553.66 23293.58 15458.86 27182.73 19487.86 257
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TR-MVS77.44 21076.18 21581.20 21288.24 17763.24 22984.61 23286.40 24567.55 23677.81 16086.48 23354.10 22893.15 17657.75 28282.72 19587.20 273
FMVSNet177.44 21076.12 21681.40 20586.81 21763.01 23488.39 12789.28 17770.49 18774.39 23587.28 20249.06 28391.11 23960.91 25478.52 23790.09 191
CHOSEN 1792x268877.63 20875.69 21783.44 14389.98 11568.58 12878.70 30587.50 22856.38 33875.80 20686.84 21458.67 19491.40 23361.58 24985.75 16290.34 180
WTY-MVS75.65 23775.68 21875.57 29386.40 22256.82 30477.92 31382.40 29765.10 26376.18 19787.72 19063.13 14180.90 33260.31 25881.96 20289.00 230
XXY-MVS75.41 24175.56 21974.96 29983.59 26457.82 29280.59 28683.87 27666.54 24874.93 23088.31 17763.24 13580.09 33562.16 24276.85 25786.97 280
thres100view90076.50 22475.55 22079.33 24889.52 12456.99 30285.83 20583.23 28773.94 12976.32 19387.12 21051.89 25191.95 21748.33 32783.75 17989.07 221
bset_n11_16_dypcd77.12 21575.47 22182.06 19081.12 31365.99 17181.37 28083.20 28969.94 19676.09 20183.38 28447.75 28992.26 20678.51 9977.91 24387.95 253
thres600view776.50 22475.44 22279.68 24289.40 12957.16 29985.53 21383.23 28773.79 13376.26 19487.09 21151.89 25191.89 22048.05 33283.72 18290.00 197
Test_1112_low_res76.40 22875.44 22279.27 24989.28 13958.09 28481.69 27587.07 23659.53 31772.48 25286.67 22461.30 17089.33 27060.81 25680.15 22390.41 177
HyFIR lowres test77.53 20975.40 22483.94 13589.59 12166.62 16180.36 28788.64 20656.29 33976.45 18885.17 25957.64 20293.28 16861.34 25283.10 19091.91 129
thisisatest051577.33 21375.38 22583.18 15685.27 23763.80 21482.11 27183.27 28665.06 26475.91 20283.84 27649.54 27694.27 12067.24 20386.19 15591.48 142
tfpn200view976.42 22775.37 22679.55 24789.13 14657.65 29485.17 21683.60 27873.41 14276.45 18886.39 23552.12 24491.95 21748.33 32783.75 17989.07 221
thres40076.50 22475.37 22679.86 23889.13 14657.65 29485.17 21683.60 27873.41 14276.45 18886.39 23552.12 24491.95 21748.33 32783.75 17990.00 197
131476.53 22375.30 22880.21 23283.93 25962.32 24384.66 22888.81 19760.23 31070.16 27684.07 27355.30 21790.73 25167.37 20083.21 18787.59 264
GA-MVS76.87 22075.17 22981.97 19482.75 28562.58 23981.44 27986.35 24772.16 15974.74 23282.89 28846.20 30092.02 21568.85 19081.09 21091.30 147
EPNet_dtu75.46 23974.86 23077.23 28182.57 29054.60 32486.89 17283.09 29171.64 16466.25 31585.86 24455.99 21488.04 29054.92 29786.55 15089.05 226
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
LS3D76.95 21974.82 23183.37 14790.45 10467.36 15189.15 9986.94 23861.87 30069.52 28590.61 11851.71 25494.53 11346.38 33986.71 14888.21 251
cascas76.72 22274.64 23282.99 16685.78 22965.88 17582.33 26989.21 18260.85 30672.74 24881.02 30747.28 29293.75 14967.48 19985.02 16489.34 218
DP-MVS76.78 22174.57 23383.42 14493.29 5469.46 10788.55 12283.70 27763.98 28070.20 27388.89 16154.01 23094.80 10746.66 33681.88 20486.01 298
TransMVSNet (Re)75.39 24274.56 23477.86 26885.50 23457.10 30186.78 17786.09 25172.17 15871.53 26287.34 20163.01 14289.31 27156.84 29061.83 34387.17 274
LTVRE_ROB69.57 1376.25 23074.54 23581.41 20488.60 16664.38 20579.24 29889.12 18870.76 18269.79 28487.86 18949.09 28293.20 17256.21 29480.16 22286.65 287
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 23874.47 23678.82 25587.78 19357.85 29183.07 26383.51 28172.44 15375.84 20584.42 26852.08 24691.75 22347.41 33483.64 18386.86 282
MVP-Stereo76.12 23174.46 23781.13 21585.37 23669.79 9784.42 23987.95 21865.03 26567.46 29985.33 25553.28 23591.73 22558.01 28083.27 18681.85 336
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
F-COLMAP76.38 22974.33 23882.50 18489.28 13966.95 16088.41 12689.03 18964.05 27866.83 30788.61 16846.78 29592.89 18757.48 28378.55 23687.67 260
XVG-ACMP-BASELINE76.11 23274.27 23981.62 19983.20 27264.67 19783.60 25489.75 16669.75 20171.85 25987.09 21132.78 35292.11 21269.99 17780.43 22088.09 252
ACMH+68.96 1476.01 23374.01 24082.03 19288.60 16665.31 18888.86 10787.55 22670.25 19167.75 29687.47 19941.27 32893.19 17458.37 27675.94 27087.60 262
ACMH67.68 1675.89 23473.93 24181.77 19788.71 16366.61 16288.62 11989.01 19169.81 19866.78 30886.70 22341.95 32791.51 23155.64 29578.14 24287.17 274
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CostFormer75.24 24373.90 24279.27 24982.65 28958.27 28380.80 28182.73 29561.57 30175.33 22083.13 28655.52 21591.07 24564.98 22278.34 24188.45 247
IterMVS-SCA-FT75.43 24073.87 24380.11 23482.69 28764.85 19481.57 27783.47 28369.16 21470.49 27084.15 27251.95 24988.15 28869.23 18472.14 31387.34 269
baseline275.70 23673.83 24481.30 20983.26 27061.79 25182.57 26780.65 31266.81 24066.88 30583.42 28357.86 20092.19 20963.47 22979.57 22789.91 202
sss73.60 25573.64 24573.51 31082.80 28455.01 32376.12 31981.69 30462.47 29574.68 23385.85 24557.32 20678.11 34260.86 25580.93 21187.39 267
pmmvs674.69 24573.39 24678.61 25881.38 30857.48 29786.64 18187.95 21864.99 26770.18 27486.61 22650.43 26789.52 26762.12 24370.18 32388.83 237
IB-MVS68.01 1575.85 23573.36 24783.31 14884.76 24566.03 16983.38 25785.06 25970.21 19269.40 28681.05 30645.76 30494.66 11165.10 22175.49 27689.25 220
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 24473.21 24879.64 24479.81 32762.56 24080.34 28887.35 23164.37 27368.86 28982.66 29246.37 29790.10 25967.91 19581.24 20986.25 291
tfpnnormal74.39 24673.16 24978.08 26686.10 22558.05 28584.65 23187.53 22770.32 18971.22 26585.63 24954.97 21889.86 26143.03 34875.02 28886.32 290
miper_lstm_enhance74.11 25073.11 25077.13 28280.11 32359.62 27272.23 33586.92 23966.76 24270.40 27182.92 28756.93 21182.92 32569.06 18772.63 30988.87 235
IterMVS74.29 24772.94 25178.35 26381.53 30563.49 22281.58 27682.49 29668.06 23369.99 27983.69 28051.66 25585.54 30765.85 21571.64 31686.01 298
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MS-PatchMatch73.83 25372.67 25277.30 27983.87 26066.02 17081.82 27284.66 26361.37 30468.61 29282.82 29047.29 29188.21 28759.27 26584.32 17377.68 350
CVMVSNet72.99 26472.58 25374.25 30684.28 25150.85 34786.41 18783.45 28444.56 35473.23 24487.54 19749.38 27885.70 30665.90 21478.44 23986.19 293
test-LLR72.94 26572.43 25474.48 30381.35 30958.04 28678.38 30677.46 33366.66 24469.95 28079.00 32548.06 28779.24 33666.13 21084.83 16686.15 294
OurMVSNet-221017-074.26 24872.42 25579.80 24083.76 26259.59 27385.92 20186.64 24166.39 24966.96 30487.58 19439.46 33491.60 22665.76 21669.27 32588.22 250
SCA74.22 24972.33 25679.91 23784.05 25762.17 24579.96 29279.29 32666.30 25072.38 25480.13 31651.95 24988.60 28359.25 26677.67 24688.96 232
tpmrst72.39 26872.13 25773.18 31480.54 31949.91 35079.91 29379.08 32763.11 28571.69 26179.95 31855.32 21682.77 32665.66 21773.89 29886.87 281
pmmvs474.03 25271.91 25880.39 22781.96 29968.32 13181.45 27882.14 29959.32 31869.87 28285.13 26052.40 24088.13 28960.21 25974.74 29184.73 313
DWT-MVSNet_test73.70 25471.86 25979.21 25182.91 28258.94 27682.34 26882.17 29865.21 26171.05 26778.31 33044.21 31290.17 25863.29 23377.28 24888.53 246
EG-PatchMatch MVS74.04 25171.82 26080.71 22384.92 24467.42 14885.86 20388.08 21566.04 25364.22 32783.85 27535.10 34892.56 19557.44 28480.83 21382.16 335
tpm72.37 27071.71 26174.35 30582.19 29752.00 33979.22 29977.29 33564.56 27072.95 24783.68 28151.35 25683.26 32458.33 27775.80 27187.81 258
CL-MVSNet_self_test72.37 27071.46 26275.09 29879.49 33353.53 33280.76 28385.01 26169.12 21570.51 26982.05 30057.92 19984.13 31752.27 30766.00 33687.60 262
tpm273.26 26071.46 26278.63 25783.34 26856.71 30780.65 28580.40 31756.63 33773.55 24082.02 30151.80 25391.24 23756.35 29378.42 24087.95 253
RPSCF73.23 26171.46 26278.54 26082.50 29159.85 27082.18 27082.84 29458.96 32171.15 26689.41 15245.48 30784.77 31458.82 27271.83 31591.02 157
PatchmatchNetpermissive73.12 26271.33 26578.49 26283.18 27360.85 26079.63 29478.57 32864.13 27571.73 26079.81 32151.20 25885.97 30557.40 28576.36 26788.66 242
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CR-MVSNet73.37 25771.27 26679.67 24381.32 31165.19 18975.92 32180.30 31859.92 31372.73 24981.19 30452.50 23886.69 29959.84 26177.71 24487.11 278
SixPastTwentyTwo73.37 25771.26 26779.70 24185.08 24357.89 29085.57 20783.56 28071.03 17665.66 31785.88 24342.10 32592.57 19459.11 26863.34 34288.65 243
MSDG73.36 25970.99 26880.49 22684.51 24965.80 17680.71 28486.13 25065.70 25765.46 31883.74 27944.60 30990.91 24751.13 31276.89 25584.74 312
PatchMatch-RL72.38 26970.90 26976.80 28588.60 16667.38 15079.53 29576.17 34062.75 29269.36 28782.00 30245.51 30684.89 31353.62 30280.58 21778.12 349
MVS_030472.48 26770.89 27077.24 28082.20 29659.68 27184.11 24583.49 28267.10 23966.87 30680.59 31235.00 34987.40 29559.07 26979.58 22684.63 314
PVSNet64.34 1872.08 27270.87 27175.69 29186.21 22456.44 31174.37 33180.73 31162.06 29970.17 27582.23 29842.86 31983.31 32354.77 29884.45 17287.32 270
RPMNet73.51 25670.49 27282.58 18381.32 31165.19 18975.92 32192.27 8357.60 33172.73 24976.45 34152.30 24195.43 7548.14 33177.71 24487.11 278
test_040272.79 26670.44 27379.84 23988.13 17965.99 17185.93 20084.29 26965.57 25967.40 30185.49 25246.92 29492.61 19335.88 35774.38 29480.94 341
COLMAP_ROBcopyleft66.92 1773.01 26370.41 27480.81 22187.13 21265.63 18088.30 13284.19 27262.96 28863.80 33187.69 19238.04 34092.56 19546.66 33674.91 28984.24 317
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
test-mter71.41 27470.39 27574.48 30381.35 30958.04 28678.38 30677.46 33360.32 30969.95 28079.00 32536.08 34679.24 33666.13 21084.83 16686.15 294
pmmvs571.55 27370.20 27675.61 29277.83 33956.39 31281.74 27480.89 30857.76 32967.46 29984.49 26749.26 28185.32 31057.08 28875.29 28585.11 309
MDTV_nov1_ep1369.97 27783.18 27353.48 33377.10 31780.18 32160.45 30769.33 28880.44 31348.89 28586.90 29851.60 31078.51 238
MIMVSNet70.69 27969.30 27874.88 30084.52 24856.35 31475.87 32379.42 32564.59 26967.76 29582.41 29441.10 32981.54 33046.64 33881.34 20786.75 285
tpmvs71.09 27669.29 27976.49 28682.04 29856.04 31778.92 30381.37 30764.05 27867.18 30378.28 33149.74 27589.77 26249.67 32272.37 31083.67 322
Patchmtry70.74 27869.16 28075.49 29580.72 31654.07 32974.94 33080.30 31858.34 32570.01 27781.19 30452.50 23886.54 30053.37 30371.09 32085.87 301
TESTMET0.1,169.89 28869.00 28172.55 31579.27 33656.85 30378.38 30674.71 34657.64 33068.09 29477.19 33837.75 34176.70 34763.92 22784.09 17584.10 320
PMMVS69.34 29068.67 28271.35 32275.67 34762.03 24675.17 32573.46 34850.00 35268.68 29079.05 32352.07 24778.13 34161.16 25382.77 19373.90 353
K. test v371.19 27568.51 28379.21 25183.04 27857.78 29384.35 24176.91 33872.90 15062.99 33482.86 28939.27 33591.09 24461.65 24852.66 35588.75 240
USDC70.33 28368.37 28476.21 28880.60 31856.23 31579.19 30086.49 24360.89 30561.29 33885.47 25331.78 35589.47 26953.37 30376.21 26882.94 332
tpm cat170.57 28068.31 28577.35 27882.41 29457.95 28978.08 31080.22 32052.04 34968.54 29377.66 33652.00 24887.84 29251.77 30872.07 31486.25 291
OpenMVS_ROBcopyleft64.09 1970.56 28168.19 28677.65 27380.26 32159.41 27585.01 22182.96 29358.76 32365.43 31982.33 29537.63 34291.23 23845.34 34476.03 26982.32 333
EPMVS69.02 29268.16 28771.59 31879.61 33149.80 35277.40 31566.93 36062.82 29170.01 27779.05 32345.79 30377.86 34456.58 29175.26 28687.13 277
CMPMVSbinary51.72 2170.19 28568.16 28776.28 28773.15 35957.55 29679.47 29683.92 27448.02 35356.48 35284.81 26443.13 31786.42 30262.67 23881.81 20584.89 310
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
AllTest70.96 27768.09 28979.58 24585.15 23963.62 21684.58 23379.83 32262.31 29660.32 34186.73 21632.02 35388.96 27950.28 31771.57 31786.15 294
gg-mvs-nofinetune69.95 28767.96 29075.94 28983.07 27654.51 32677.23 31670.29 35363.11 28570.32 27262.33 35443.62 31588.69 28253.88 30187.76 13184.62 315
FMVSNet569.50 28967.96 29074.15 30782.97 28155.35 32280.01 29182.12 30062.56 29463.02 33281.53 30336.92 34381.92 32848.42 32674.06 29685.17 308
PatchT68.46 29867.85 29270.29 32680.70 31743.93 36072.47 33474.88 34360.15 31170.55 26876.57 34049.94 27281.59 32950.58 31374.83 29085.34 304
pmmvs-eth3d70.50 28267.83 29378.52 26177.37 34266.18 16881.82 27281.51 30558.90 32263.90 33080.42 31442.69 32086.28 30358.56 27465.30 33883.11 328
Anonymous2023120668.60 29567.80 29471.02 32480.23 32250.75 34878.30 30980.47 31556.79 33666.11 31682.63 29346.35 29878.95 33843.62 34775.70 27283.36 325
Patchmatch-RL test70.24 28467.78 29577.61 27477.43 34159.57 27471.16 33770.33 35262.94 28968.65 29172.77 34850.62 26485.49 30869.58 18266.58 33487.77 259
test0.0.03 168.00 29967.69 29668.90 33177.55 34047.43 35475.70 32472.95 35066.66 24466.56 30982.29 29748.06 28775.87 35144.97 34574.51 29383.41 324
EU-MVSNet68.53 29767.61 29771.31 32378.51 33847.01 35684.47 23484.27 27042.27 35566.44 31484.79 26540.44 33283.76 31958.76 27368.54 33083.17 326
KD-MVS_self_test68.81 29367.59 29872.46 31674.29 35345.45 35777.93 31287.00 23763.12 28463.99 32978.99 32742.32 32284.77 31456.55 29264.09 34187.16 276
ppachtmachnet_test70.04 28667.34 29978.14 26579.80 32861.13 25679.19 30080.59 31359.16 32065.27 32079.29 32246.75 29687.29 29649.33 32366.72 33286.00 300
Anonymous2024052168.80 29467.22 30073.55 30974.33 35254.11 32883.18 25985.61 25458.15 32661.68 33780.94 30930.71 35681.27 33157.00 28973.34 30685.28 305
our_test_369.14 29167.00 30175.57 29379.80 32858.80 27877.96 31177.81 33159.55 31662.90 33578.25 33247.43 29083.97 31851.71 30967.58 33183.93 321
test20.0367.45 30166.95 30268.94 33075.48 34944.84 35977.50 31477.67 33266.66 24463.01 33383.80 27747.02 29378.40 34042.53 35068.86 32983.58 323
MIMVSNet168.58 29666.78 30373.98 30880.07 32451.82 34080.77 28284.37 26664.40 27259.75 34482.16 29936.47 34483.63 32142.73 34970.33 32286.48 289
testgi66.67 30666.53 30467.08 33675.62 34841.69 36375.93 32076.50 33966.11 25165.20 32386.59 22735.72 34774.71 35543.71 34673.38 30584.84 311
UnsupCasMVSNet_eth67.33 30265.99 30571.37 32073.48 35651.47 34475.16 32685.19 25865.20 26260.78 34080.93 31142.35 32177.20 34657.12 28753.69 35485.44 303
dp66.80 30465.43 30670.90 32579.74 33048.82 35375.12 32874.77 34459.61 31564.08 32877.23 33742.89 31880.72 33348.86 32566.58 33483.16 327
TinyColmap67.30 30364.81 30774.76 30281.92 30056.68 30880.29 28981.49 30660.33 30856.27 35383.22 28524.77 35987.66 29445.52 34269.47 32479.95 345
CHOSEN 280x42066.51 30764.71 30871.90 31781.45 30663.52 22157.98 35868.95 35953.57 34562.59 33676.70 33946.22 29975.29 35455.25 29679.68 22576.88 352
TDRefinement67.49 30064.34 30976.92 28373.47 35761.07 25784.86 22582.98 29259.77 31458.30 34785.13 26026.06 35887.89 29147.92 33360.59 34781.81 337
PM-MVS66.41 30864.14 31073.20 31373.92 35456.45 31078.97 30264.96 36463.88 28264.72 32480.24 31519.84 36383.44 32266.24 20964.52 34079.71 346
KD-MVS_2432*160066.22 31063.89 31173.21 31175.47 35053.42 33470.76 34084.35 26764.10 27666.52 31178.52 32834.55 35084.98 31150.40 31550.33 35881.23 339
miper_refine_blended66.22 31063.89 31173.21 31175.47 35053.42 33470.76 34084.35 26764.10 27666.52 31178.52 32834.55 35084.98 31150.40 31550.33 35881.23 339
MDA-MVSNet-bldmvs66.68 30563.66 31375.75 29079.28 33560.56 26473.92 33278.35 32964.43 27150.13 35879.87 32044.02 31483.67 32046.10 34056.86 35083.03 330
ADS-MVSNet266.20 31263.33 31474.82 30179.92 32558.75 27967.55 35075.19 34253.37 34665.25 32175.86 34242.32 32280.53 33441.57 35168.91 32785.18 306
Patchmatch-test64.82 31563.24 31569.57 32879.42 33449.82 35163.49 35669.05 35851.98 35059.95 34380.13 31650.91 26070.98 36040.66 35373.57 30187.90 256
MDA-MVSNet_test_wron65.03 31362.92 31671.37 32075.93 34556.73 30569.09 34874.73 34557.28 33454.03 35577.89 33345.88 30174.39 35749.89 32161.55 34482.99 331
YYNet165.03 31362.91 31771.38 31975.85 34656.60 30969.12 34774.66 34757.28 33454.12 35477.87 33445.85 30274.48 35649.95 32061.52 34583.05 329
ADS-MVSNet64.36 31662.88 31868.78 33379.92 32547.17 35567.55 35071.18 35153.37 34665.25 32175.86 34242.32 32273.99 35841.57 35168.91 32785.18 306
JIA-IIPM66.32 30962.82 31976.82 28477.09 34361.72 25265.34 35375.38 34158.04 32864.51 32562.32 35542.05 32686.51 30151.45 31169.22 32682.21 334
LF4IMVS64.02 31762.19 32069.50 32970.90 36153.29 33776.13 31877.18 33652.65 34858.59 34580.98 30823.55 36076.52 34853.06 30566.66 33378.68 348
new-patchmatchnet61.73 31961.73 32161.70 33972.74 36024.50 37369.16 34678.03 33061.40 30256.72 35175.53 34438.42 33876.48 34945.95 34157.67 34984.13 319
UnsupCasMVSNet_bld63.70 31861.53 32270.21 32773.69 35551.39 34572.82 33381.89 30155.63 34157.81 34871.80 35038.67 33778.61 33949.26 32452.21 35680.63 342
PVSNet_057.27 2061.67 32059.27 32368.85 33279.61 33157.44 29868.01 34973.44 34955.93 34058.54 34670.41 35144.58 31077.55 34547.01 33535.91 36171.55 355
MVS-HIRNet59.14 32157.67 32463.57 33881.65 30243.50 36171.73 33665.06 36339.59 35951.43 35757.73 35838.34 33982.58 32739.53 35473.95 29764.62 358
DSMNet-mixed57.77 32356.90 32560.38 34067.70 36335.61 36669.18 34553.97 36832.30 36457.49 34979.88 31940.39 33368.57 36238.78 35572.37 31076.97 351
pmmvs357.79 32254.26 32668.37 33464.02 36556.72 30675.12 32865.17 36240.20 35752.93 35669.86 35220.36 36275.48 35345.45 34355.25 35372.90 354
N_pmnet52.79 32653.26 32751.40 34578.99 3377.68 37669.52 3433.89 37651.63 35157.01 35074.98 34540.83 33165.96 36337.78 35664.67 33980.56 344
FPMVS53.68 32551.64 32859.81 34165.08 36451.03 34669.48 34469.58 35641.46 35640.67 36072.32 34916.46 36670.00 36124.24 36365.42 33758.40 360
new_pmnet50.91 32750.29 32952.78 34468.58 36234.94 36863.71 35556.63 36739.73 35844.95 35965.47 35321.93 36158.48 36434.98 35856.62 35164.92 357
LCM-MVSNet54.25 32449.68 33067.97 33553.73 36845.28 35866.85 35280.78 31035.96 36139.45 36162.23 3568.70 37278.06 34348.24 33051.20 35780.57 343
ANet_high50.57 32846.10 33163.99 33748.67 37139.13 36470.99 33980.85 30961.39 30331.18 36357.70 35917.02 36573.65 35931.22 35915.89 36879.18 347
Gipumacopyleft45.18 32941.86 33255.16 34377.03 34451.52 34332.50 36480.52 31432.46 36327.12 36435.02 3649.52 37175.50 35222.31 36460.21 34838.45 363
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 33040.28 33355.82 34240.82 37342.54 36265.12 35463.99 36534.43 36224.48 36557.12 3603.92 37476.17 35017.10 36655.52 35248.75 361
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS240.82 33138.86 33446.69 34653.84 36716.45 37448.61 36149.92 36937.49 36031.67 36260.97 3578.14 37356.42 36528.42 36030.72 36367.19 356
E-PMN31.77 33230.64 33535.15 34952.87 36927.67 37057.09 35947.86 37024.64 36516.40 37033.05 36511.23 36954.90 36614.46 36818.15 36622.87 365
EMVS30.81 33429.65 33634.27 35050.96 37025.95 37256.58 36046.80 37124.01 36615.53 37130.68 36612.47 36854.43 36712.81 36917.05 36722.43 366
test_method31.52 33329.28 33738.23 34827.03 3756.50 37720.94 36662.21 3664.05 37022.35 36852.50 36113.33 36747.58 36827.04 36234.04 36260.62 359
cdsmvs_eth3d_5k19.96 33626.61 3380.00 3560.00 3790.00 3800.00 36789.26 1800.00 3740.00 37588.61 16861.62 1620.00 3750.00 3730.00 3730.00 371
MVEpermissive26.22 2330.37 33525.89 33943.81 34744.55 37235.46 36728.87 36539.07 37218.20 36718.58 36940.18 3632.68 37547.37 36917.07 36723.78 36548.60 362
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tmp_tt18.61 33721.40 34010.23 3534.82 37610.11 37534.70 36330.74 3741.48 37123.91 36726.07 36728.42 35713.41 37227.12 36115.35 3697.17 367
wuyk23d16.82 33815.94 34119.46 35258.74 36631.45 36939.22 3623.74 3776.84 3696.04 3722.70 3711.27 37624.29 37110.54 37014.40 3702.63 368
ab-mvs-re7.23 3399.64 3420.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 37586.72 2180.00 3790.00 3750.00 3730.00 3730.00 371
test1236.12 3408.11 3430.14 3540.06 3780.09 37871.05 3380.03 3790.04 3730.25 3741.30 3730.05 3770.03 3740.21 3720.01 3720.29 369
testmvs6.04 3418.02 3440.10 3550.08 3770.03 37969.74 3420.04 3780.05 3720.31 3731.68 3720.02 3780.04 3730.24 3710.02 3710.25 370
pcd_1.5k_mvsjas5.26 3427.02 3450.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 3750.00 37463.15 1380.00 3750.00 3730.00 3730.00 371
test_blank0.00 3430.00 3460.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 3750.00 3740.00 3790.00 3750.00 3730.00 3730.00 371
uanet_test0.00 3430.00 3460.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 3750.00 3740.00 3790.00 3750.00 3730.00 3730.00 371
sosnet-low-res0.00 3430.00 3460.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 3750.00 3740.00 3790.00 3750.00 3730.00 3730.00 371
sosnet0.00 3430.00 3460.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 3750.00 3740.00 3790.00 3750.00 3730.00 3730.00 371
uncertanet0.00 3430.00 3460.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 3750.00 3740.00 3790.00 3750.00 3730.00 3730.00 371
Regformer0.00 3430.00 3460.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 3750.00 3740.00 3790.00 3750.00 3730.00 3730.00 371
uanet0.00 3430.00 3460.00 3560.00 3790.00 3800.00 3670.00 3800.00 3740.00 3750.00 3740.00 3790.00 3750.00 3730.00 3730.00 371
FOURS195.00 1072.39 4295.06 193.84 1874.49 11691.30 15
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 27
PC_three_145268.21 23292.02 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 27
test_one_060195.07 771.46 6194.14 778.27 3592.05 1195.74 680.83 11
eth-test20.00 379
eth-test0.00 379
ZD-MVS94.38 2772.22 4892.67 6770.98 17787.75 3194.07 4574.01 3896.70 2684.66 3994.84 48
IU-MVS95.30 271.25 6392.95 5666.81 24092.39 688.94 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 36
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 12974.31 120
test_0728_THIRD78.38 3392.12 995.78 481.46 797.40 789.42 496.57 794.67 19
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 37
test072695.27 571.25 6393.60 694.11 877.33 4992.81 395.79 380.98 9
GSMVS88.96 232
test_part295.06 872.65 3391.80 13
sam_mvs151.32 25788.96 232
sam_mvs50.01 270
ambc75.24 29773.16 35850.51 34963.05 35787.47 22964.28 32677.81 33517.80 36489.73 26457.88 28160.64 34685.49 302
MTGPAbinary92.02 94
test_post178.90 3045.43 37048.81 28685.44 30959.25 266
test_post5.46 36950.36 26884.24 316
patchmatchnet-post74.00 34651.12 25988.60 283
GG-mvs-BLEND75.38 29681.59 30455.80 31979.32 29769.63 35567.19 30273.67 34743.24 31688.90 28150.41 31484.50 17081.45 338
MTMP92.18 3332.83 373
gm-plane-assit81.40 30753.83 33162.72 29380.94 30992.39 20063.40 231
test9_res84.90 3395.70 3192.87 99
TEST993.26 5672.96 2688.75 11391.89 10368.44 23085.00 5493.10 6574.36 3395.41 77
test_893.13 5872.57 3688.68 11891.84 10668.69 22684.87 6093.10 6574.43 3095.16 89
agg_prior282.91 6395.45 3392.70 102
agg_prior92.85 6671.94 5491.78 10984.41 6994.93 98
TestCases79.58 24585.15 23963.62 21679.83 32262.31 29660.32 34186.73 21632.02 35388.96 27950.28 31771.57 31786.15 294
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 50
旧先验286.56 18458.10 32787.04 3588.98 27774.07 140
新几何286.29 192
新几何183.42 14493.13 5870.71 8085.48 25557.43 33281.80 10591.98 8363.28 13392.27 20564.60 22592.99 7187.27 271
旧先验191.96 8265.79 17786.37 24693.08 6969.31 7992.74 7588.74 241
无先验87.48 15588.98 19260.00 31294.12 12967.28 20188.97 231
原ACMM286.86 173
原ACMM184.35 11493.01 6468.79 11692.44 7563.96 28181.09 11691.57 9466.06 10895.45 7367.19 20494.82 5188.81 238
test22291.50 8868.26 13384.16 24383.20 28954.63 34479.74 12791.63 9258.97 19391.42 9086.77 284
testdata291.01 24662.37 240
segment_acmp73.08 43
testdata79.97 23690.90 9664.21 20784.71 26259.27 31985.40 4892.91 7062.02 15889.08 27568.95 18891.37 9186.63 288
testdata184.14 24475.71 90
test1286.80 5592.63 7370.70 8191.79 10882.71 9671.67 5596.16 4794.50 5693.54 74
plane_prior790.08 11268.51 129
plane_prior689.84 11868.70 12460.42 186
plane_prior592.44 7595.38 8078.71 9786.32 15391.33 145
plane_prior491.00 112
plane_prior368.60 12778.44 3178.92 137
plane_prior291.25 4979.12 24
plane_prior189.90 117
plane_prior68.71 12290.38 7077.62 4086.16 156
n20.00 380
nn0.00 380
door-mid69.98 354
lessismore_v078.97 25381.01 31557.15 30065.99 36161.16 33982.82 29039.12 33691.34 23559.67 26246.92 36088.43 248
LGP-MVS_train84.50 10689.23 14268.76 11891.94 10175.37 9876.64 18691.51 9554.29 22694.91 10078.44 10183.78 17789.83 206
test1192.23 86
door69.44 357
HQP5-MVS66.98 156
HQP-NCC89.33 13289.17 9576.41 7477.23 173
ACMP_Plane89.33 13289.17 9576.41 7477.23 173
BP-MVS77.47 111
HQP4-MVS77.24 17295.11 9191.03 155
HQP3-MVS92.19 8985.99 159
HQP2-MVS60.17 189
NP-MVS89.62 12068.32 13190.24 123
MDTV_nov1_ep13_2view37.79 36575.16 32655.10 34266.53 31049.34 27953.98 30087.94 255
ACMMP++_ref81.95 203
ACMMP++81.25 208
Test By Simon64.33 123
ITE_SJBPF78.22 26481.77 30160.57 26383.30 28569.25 21067.54 29887.20 20736.33 34587.28 29754.34 29974.62 29286.80 283
DeepMVS_CXcopyleft27.40 35140.17 37426.90 37124.59 37517.44 36823.95 36648.61 3629.77 37026.48 37018.06 36524.47 36428.83 364