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 bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 29
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 29
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5396.48 894.88 9
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 93
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2293.63 2374.77 11292.29 795.97 274.28 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
3Dnovator+77.84 485.48 5984.47 7488.51 691.08 9273.49 1793.18 1193.78 2180.79 1076.66 18793.37 6060.40 18896.75 2577.20 11493.73 6895.29 2
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 34
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.
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 21
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
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 42
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 35
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 46
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 49
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 51
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
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 44
X-MVStestdata80.37 14377.83 17988.00 1594.42 2273.33 2092.78 1792.99 4979.14 2283.67 8312.47 37167.45 9396.60 3483.06 6094.50 5694.07 44
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 43
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 65
#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 65
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 72
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
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 85
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18592.02 9479.45 1985.88 4294.80 1668.07 8696.21 4386.69 2495.34 3693.23 85
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 65
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
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 54
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
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6689.69 16874.31 12289.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 16
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3193.49 3074.75 11388.33 2594.43 3273.27 4297.02 1684.18 4994.84 4893.82 59
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 40
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
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 28
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8193.82 1973.07 14884.86 6192.89 7176.22 1796.33 3984.89 3595.13 4194.40 31
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4792.35 8074.62 11688.90 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
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 79
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 39
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6194.05 1570.80 18187.59 3393.51 5677.57 1496.63 3183.31 5595.77 2694.72 20
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 70
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
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 85
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 16
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 24
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
CANet86.45 4486.10 5187.51 4090.09 11170.94 7489.70 8792.59 7281.78 481.32 11191.43 10170.34 6697.23 1284.26 4693.36 7094.37 32
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4694.70 374.47 11988.86 2294.61 2175.23 2495.84 5886.62 2695.92 2194.78 18
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 35
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8772.45 4190.02 7794.37 471.76 16487.28 3494.27 3675.18 2596.08 4985.16 3095.77 2693.80 62
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 10093.23 85
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
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 82
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
PHI-MVS86.43 4586.17 5087.24 4690.88 9770.96 7292.27 3094.07 1172.45 15385.22 5291.90 8769.47 7696.42 3883.28 5895.94 2094.35 33
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 3992.83 6173.01 15088.58 2394.52 2373.36 4096.49 3784.26 4695.01 4292.70 104
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
CDPH-MVS85.76 5685.29 6387.17 4893.49 5371.08 6888.58 12192.42 7868.32 23384.61 6693.48 5772.32 4996.15 4879.00 9495.43 3494.28 37
train_agg86.43 4586.20 4887.13 4993.26 5672.96 2688.75 11391.89 10368.69 22885.00 5493.10 6574.43 3095.41 7784.97 3295.71 3093.02 95
CSCG86.41 4786.19 4987.07 5092.91 6572.48 3890.81 5793.56 2673.95 13083.16 8891.07 11075.94 1895.19 8879.94 9294.38 6093.55 75
Regformer-286.63 4386.53 4286.95 5189.33 13471.24 6788.43 12392.05 9382.50 186.88 3690.09 12974.45 2995.61 6384.38 4390.63 10194.01 48
SR-MVS86.73 3986.67 4086.91 5294.11 4072.11 5192.37 2692.56 7374.50 11786.84 3794.65 2067.31 9595.77 6084.80 3792.85 7492.84 102
DPM-MVS84.93 7084.29 7586.84 5390.20 10973.04 2487.12 16793.04 4369.80 20182.85 9391.22 10573.06 4496.02 5176.72 12194.63 5391.46 145
TSAR-MVS + GP.85.71 5785.33 6086.84 5391.34 8972.50 3789.07 10187.28 23276.41 7485.80 4490.22 12774.15 3795.37 8381.82 7591.88 8592.65 108
test1286.80 5592.63 7370.70 8191.79 10882.71 9671.67 5596.16 4794.50 5693.54 76
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 24
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 70
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
Regformer-186.41 4786.33 4486.64 5889.33 13470.93 7588.43 12391.39 12282.14 386.65 3890.09 12974.39 3295.01 9783.97 5190.63 10193.97 50
agg_prior186.22 4986.09 5286.62 5992.85 6671.94 5488.59 12091.78 10968.96 22384.41 6993.18 6474.94 2694.93 9884.75 3895.33 3893.01 96
3Dnovator76.31 583.38 8582.31 9486.59 6087.94 18872.94 2990.64 6092.14 9177.21 5375.47 21292.83 7358.56 19594.72 11073.24 15192.71 7692.13 126
HPM-MVS_fast85.35 6384.95 7086.57 6193.69 4870.58 8592.15 3491.62 11373.89 13382.67 9794.09 4462.60 14595.54 6980.93 8192.93 7293.57 74
Regformer-485.68 5885.45 5886.35 6288.95 15369.67 10088.29 13391.29 12481.73 585.36 4990.01 13272.62 4795.35 8483.28 5887.57 13494.03 46
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 52
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7193.91 52
MVS_111021_HR85.14 6684.75 7286.32 6591.65 8672.70 3185.98 20090.33 15076.11 8382.08 10091.61 9571.36 5894.17 12881.02 8092.58 7892.08 127
SR-MVS-dyc-post85.77 5585.61 5686.23 6693.06 6270.63 8291.88 3792.27 8373.53 14185.69 4694.45 2865.00 12095.56 6682.75 6591.87 8692.50 111
APD-MVS_3200maxsize85.97 5285.88 5386.22 6792.69 7269.53 10391.93 3692.99 4973.54 14085.94 4194.51 2665.80 11295.61 6383.04 6292.51 7993.53 77
DP-MVS Recon83.11 9082.09 9786.15 6894.44 2170.92 7688.79 11192.20 8870.53 18879.17 13591.03 11364.12 12596.03 5068.39 19590.14 10891.50 142
EPNet83.72 7882.92 8686.14 6984.22 25569.48 10491.05 5485.27 25781.30 776.83 18291.65 9266.09 10795.56 6676.00 12693.85 6693.38 79
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
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 7792.90 100
abl_685.23 6484.95 7086.07 7192.23 7970.48 8690.80 5892.08 9273.51 14385.26 5094.16 4162.75 14495.92 5782.46 7291.30 9591.81 135
canonicalmvs85.91 5385.87 5486.04 7289.84 12069.44 10890.45 6993.00 4776.70 7188.01 2991.23 10473.28 4193.91 14081.50 7788.80 12294.77 19
h-mvs3383.15 8782.19 9586.02 7390.56 10270.85 7888.15 14089.16 18476.02 8584.67 6391.39 10261.54 16395.50 7082.71 6775.48 27991.72 137
alignmvs85.48 5985.32 6185.96 7489.51 12769.47 10589.74 8592.47 7476.17 8287.73 3291.46 10070.32 6793.78 14581.51 7688.95 11994.63 23
DELS-MVS85.41 6285.30 6285.77 7588.49 17167.93 13985.52 21793.44 3278.70 2983.63 8589.03 16174.57 2895.71 6280.26 9094.04 6593.66 65
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
Regformer-385.23 6485.07 6685.70 7688.95 15369.01 11288.29 13389.91 16280.95 885.01 5390.01 13272.45 4894.19 12682.50 7187.57 13493.90 54
ETV-MVS84.90 7284.67 7385.59 7789.39 13268.66 12688.74 11592.64 7179.97 1784.10 7685.71 24869.32 7895.38 8080.82 8391.37 9392.72 103
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 9993.07 92
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 9793.35 81
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
EI-MVSNet-Vis-set84.19 7483.81 7685.31 8088.18 18067.85 14087.66 15389.73 16780.05 1682.95 9089.59 14570.74 6394.82 10680.66 8684.72 17093.28 84
mvs-test180.88 12479.40 14285.29 8185.13 24369.75 9989.28 9288.10 21374.99 10676.44 19386.72 22057.27 20794.26 12473.53 14483.18 19091.87 132
MAR-MVS81.84 10780.70 11785.27 8291.32 9071.53 6089.82 8190.92 13469.77 20278.50 14786.21 24062.36 15194.52 11465.36 22092.05 8489.77 211
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
Effi-MVS+83.62 8083.08 8285.24 8388.38 17667.45 14788.89 10689.15 18575.50 9582.27 9888.28 18069.61 7594.45 11677.81 10887.84 13293.84 58
MVSFormer82.85 9382.05 9985.24 8387.35 20570.21 8890.50 6490.38 14668.55 23081.32 11189.47 14861.68 16093.46 16378.98 9590.26 10692.05 129
OPM-MVS83.50 8182.95 8585.14 8588.79 16170.95 7389.13 10091.52 11677.55 4580.96 11891.75 9060.71 18094.50 11579.67 9386.51 15389.97 203
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
HQP_MVS83.64 7983.14 8185.14 8590.08 11268.71 12291.25 4992.44 7579.12 2478.92 13991.00 11460.42 18695.38 8078.71 9786.32 15591.33 147
EI-MVSNet-UG-set83.81 7683.38 7985.09 8787.87 18967.53 14687.44 15989.66 16979.74 1882.23 9989.41 15470.24 6994.74 10979.95 9183.92 17892.99 98
QAPM80.88 12479.50 14085.03 8888.01 18768.97 11491.59 4292.00 9766.63 24975.15 22692.16 8257.70 20195.45 7363.52 23088.76 12390.66 169
casdiffmvs85.11 6785.14 6585.01 8987.20 21265.77 17887.75 15192.83 6177.84 3784.36 7292.38 8072.15 5193.93 13981.27 7990.48 10395.33 1
PCF-MVS73.52 780.38 14278.84 15685.01 8987.71 19668.99 11383.65 25391.46 12163.00 28977.77 16490.28 12466.10 10695.09 9561.40 25288.22 13190.94 161
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
nrg03083.88 7583.53 7784.96 9186.77 22069.28 10990.46 6892.67 6774.79 11182.95 9091.33 10372.70 4693.09 18080.79 8579.28 23692.50 111
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 12494.57 26
PVSNet_Blended_VisFu82.62 9681.83 10484.96 9190.80 9969.76 9888.74 11591.70 11269.39 20878.96 13788.46 17565.47 11494.87 10574.42 13688.57 12590.24 185
CPTT-MVS83.73 7783.33 8084.92 9493.28 5570.86 7792.09 3590.38 14668.75 22779.57 13192.83 7360.60 18493.04 18480.92 8291.56 9190.86 163
DROMVSNet86.01 5186.38 4384.91 9589.31 13966.27 16792.32 2893.63 2379.37 2184.17 7591.88 8869.04 8395.43 7583.93 5293.77 6793.01 96
test_part182.78 9482.08 9884.89 9690.66 10066.97 15890.96 5592.93 5777.19 5480.53 12290.04 13163.44 13095.39 7976.04 12576.90 25692.31 118
OMC-MVS82.69 9581.97 10284.85 9788.75 16367.42 14887.98 14290.87 13674.92 10879.72 13091.65 9262.19 15593.96 13375.26 13386.42 15493.16 90
EIA-MVS83.31 8682.80 8884.82 9889.59 12365.59 18188.21 13692.68 6674.66 11578.96 13786.42 23669.06 8195.26 8575.54 13190.09 10993.62 72
PAPM_NR83.02 9182.41 9184.82 9892.47 7766.37 16587.93 14691.80 10773.82 13477.32 17290.66 11967.90 8994.90 10270.37 17289.48 11693.19 89
baseline84.93 7084.98 6784.80 10087.30 21065.39 18687.30 16392.88 5877.62 4084.04 7892.26 8171.81 5393.96 13381.31 7890.30 10595.03 4
lupinMVS81.39 11880.27 12784.76 10187.35 20570.21 8885.55 21386.41 24462.85 29281.32 11188.61 17061.68 16092.24 21078.41 10390.26 10691.83 133
jason81.39 11880.29 12684.70 10286.63 22269.90 9585.95 20186.77 24063.24 28581.07 11789.47 14861.08 17692.15 21378.33 10490.07 11192.05 129
jason: jason.
ET-MVSNet_ETH3D78.63 18276.63 21184.64 10386.73 22169.47 10585.01 22384.61 26469.54 20666.51 31586.59 22950.16 26991.75 22576.26 12284.24 17692.69 106
EPP-MVSNet83.40 8483.02 8484.57 10490.13 11064.47 20292.32 2890.73 13874.45 12179.35 13491.10 10869.05 8295.12 9072.78 15587.22 14294.13 41
UGNet80.83 12879.59 13884.54 10588.04 18568.09 13689.42 9088.16 21176.95 6176.22 19789.46 15049.30 28093.94 13668.48 19390.31 10491.60 138
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
LPG-MVS_test82.08 10281.27 10884.50 10689.23 14468.76 11890.22 7491.94 10175.37 9876.64 18891.51 9754.29 22694.91 10078.44 10183.78 17989.83 208
LGP-MVS_train84.50 10689.23 14468.76 11891.94 10175.37 9876.64 18891.51 9754.29 22694.91 10078.44 10183.78 17989.83 208
CS-MVS-test85.02 6985.21 6484.46 10889.28 14165.70 17991.16 5293.56 2677.83 3881.80 10589.89 13470.67 6495.61 6380.39 8792.34 8392.06 128
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 6190.16 187
Effi-MVS+-dtu80.03 14978.57 16084.42 11085.13 24368.74 12088.77 11288.10 21374.99 10674.97 23183.49 28457.27 20793.36 16673.53 14480.88 21491.18 151
RRT_MVS79.88 15278.38 16584.38 11185.42 23770.60 8488.71 11788.75 20372.30 15878.83 14189.14 15644.44 31292.18 21278.50 10079.33 23590.35 181
HQP-MVS82.61 9782.02 10084.37 11289.33 13466.98 15689.17 9592.19 8976.41 7477.23 17590.23 12660.17 18995.11 9177.47 11185.99 16191.03 157
ACMP74.13 681.51 11780.57 11984.36 11389.42 13068.69 12589.97 7991.50 12074.46 12075.04 23090.41 12353.82 23194.54 11277.56 11082.91 19389.86 207
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
原ACMM184.35 11493.01 6468.79 11692.44 7563.96 28381.09 11691.57 9666.06 10895.45 7367.19 20694.82 5188.81 240
PS-MVSNAJss82.07 10381.31 10784.34 11586.51 22367.27 15289.27 9391.51 11771.75 16579.37 13390.22 12763.15 13894.27 12077.69 10982.36 20191.49 143
thisisatest053079.40 16477.76 18384.31 11687.69 19865.10 19287.36 16084.26 27170.04 19577.42 16988.26 18249.94 27294.79 10870.20 17384.70 17193.03 94
CLD-MVS82.31 9981.65 10584.29 11788.47 17267.73 14385.81 20892.35 8075.78 8978.33 15286.58 23164.01 12694.35 11776.05 12487.48 13990.79 164
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
API-MVS81.99 10581.23 10984.26 11890.94 9570.18 9391.10 5389.32 17671.51 17178.66 14488.28 18065.26 11595.10 9464.74 22691.23 9687.51 267
114514_t80.68 13579.51 13984.20 11994.09 4167.27 15289.64 8891.11 13158.75 32674.08 24090.72 11858.10 19795.04 9669.70 18089.42 11790.30 183
IS-MVSNet83.15 8782.81 8784.18 12089.94 11863.30 22791.59 4288.46 20979.04 2679.49 13292.16 8265.10 11794.28 11967.71 19891.86 8894.95 5
MVS_111021_LR82.61 9782.11 9684.11 12188.82 15871.58 5985.15 22086.16 24974.69 11480.47 12391.04 11162.29 15290.55 25580.33 8990.08 11090.20 186
Anonymous2024052980.19 14778.89 15584.10 12290.60 10164.75 19688.95 10490.90 13565.97 25780.59 12191.17 10749.97 27193.73 15169.16 18682.70 19893.81 60
OpenMVScopyleft72.83 1079.77 15378.33 16884.09 12385.17 24069.91 9490.57 6290.97 13366.70 24572.17 25891.91 8654.70 22393.96 13361.81 24990.95 9888.41 251
hse-mvs281.72 10980.94 11584.07 12488.72 16467.68 14485.87 20487.26 23376.02 8584.67 6388.22 18361.54 16393.48 16182.71 6773.44 30691.06 155
AdaColmapbinary80.58 13979.42 14184.06 12593.09 6168.91 11589.36 9188.97 19469.27 21175.70 20989.69 14057.20 20995.77 6063.06 23688.41 12987.50 268
AUN-MVS79.21 16977.60 18884.05 12688.71 16567.61 14585.84 20687.26 23369.08 21877.23 17588.14 18853.20 23693.47 16275.50 13273.45 30591.06 155
112180.84 12679.77 13384.05 12693.11 6070.78 7984.66 23085.42 25657.37 33581.76 10992.02 8463.41 13194.12 12967.28 20392.93 7287.26 274
VDDNet81.52 11580.67 11884.05 12690.44 10564.13 20989.73 8685.91 25271.11 17683.18 8793.48 5750.54 26693.49 16073.40 14888.25 13094.54 27
xiu_mvs_v1_base_debu80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
xiu_mvs_v1_base80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
xiu_mvs_v1_base_debi80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
PAPR81.66 11380.89 11683.99 13290.27 10764.00 21086.76 18191.77 11168.84 22677.13 18089.50 14667.63 9194.88 10467.55 20088.52 12793.09 91
XVG-OURS80.41 14179.23 14883.97 13385.64 23369.02 11183.03 26690.39 14571.09 17777.63 16691.49 9954.62 22591.35 23675.71 12783.47 18691.54 140
XVG-OURS-SEG-HR80.81 12979.76 13483.96 13485.60 23468.78 11783.54 25890.50 14370.66 18676.71 18691.66 9160.69 18191.26 23876.94 11881.58 20891.83 133
HyFIR lowres test77.53 21075.40 22683.94 13589.59 12366.62 16180.36 29088.64 20656.29 34176.45 19085.17 26157.64 20293.28 16861.34 25483.10 19291.91 131
tttt051779.40 16477.91 17683.90 13688.10 18363.84 21388.37 13084.05 27371.45 17276.78 18489.12 15849.93 27494.89 10370.18 17483.18 19092.96 99
GeoE81.71 11081.01 11483.80 13789.51 12764.45 20388.97 10388.73 20471.27 17478.63 14589.76 13866.32 10493.20 17269.89 17886.02 16093.74 63
PS-MVSNAJ81.69 11181.02 11383.70 13889.51 12768.21 13584.28 24490.09 15770.79 18281.26 11585.62 25263.15 13894.29 11875.62 12988.87 12188.59 246
xiu_mvs_v2_base81.69 11181.05 11283.60 13989.15 14768.03 13884.46 23890.02 15870.67 18581.30 11486.53 23463.17 13794.19 12675.60 13088.54 12688.57 247
ACMM73.20 880.78 13479.84 13283.58 14089.31 13968.37 13089.99 7891.60 11470.28 19277.25 17389.66 14153.37 23493.53 15974.24 13982.85 19488.85 238
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
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 11293.85 56
Fast-Effi-MVS+80.81 12979.92 13083.47 14288.85 15564.51 19985.53 21589.39 17470.79 18278.49 14885.06 26467.54 9293.58 15467.03 20986.58 15192.32 117
CHOSEN 1792x268877.63 20975.69 21983.44 14389.98 11768.58 12878.70 30887.50 22856.38 34075.80 20886.84 21658.67 19491.40 23561.58 25185.75 16490.34 182
新几何183.42 14493.13 5870.71 8085.48 25557.43 33481.80 10591.98 8563.28 13392.27 20764.60 22792.99 7187.27 273
DP-MVS76.78 22374.57 23583.42 14493.29 5469.46 10788.55 12283.70 27763.98 28270.20 27588.89 16354.01 23094.80 10746.66 33881.88 20686.01 300
MVS_Test83.15 8783.06 8383.41 14686.86 21663.21 23086.11 19892.00 9774.31 12282.87 9289.44 15370.03 7093.21 17077.39 11388.50 12893.81 60
LS3D76.95 22174.82 23383.37 14790.45 10467.36 15189.15 9986.94 23861.87 30269.52 28790.61 12051.71 25494.53 11346.38 34186.71 15088.21 253
IB-MVS68.01 1575.85 23773.36 24983.31 14884.76 24766.03 16983.38 25985.06 25970.21 19469.40 28881.05 30845.76 30594.66 11165.10 22375.49 27889.25 222
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
MG-MVS83.41 8383.45 7883.28 14992.74 7162.28 24488.17 13889.50 17275.22 10181.49 11092.74 7966.75 9895.11 9172.85 15491.58 9092.45 114
jajsoiax79.29 16777.96 17483.27 15084.68 24966.57 16389.25 9490.16 15569.20 21575.46 21489.49 14745.75 30693.13 17876.84 11980.80 21690.11 191
test_djsdf80.30 14479.32 14583.27 15083.98 26065.37 18790.50 6490.38 14668.55 23076.19 19888.70 16656.44 21393.46 16378.98 9580.14 22690.97 160
test_yl81.17 12080.47 12283.24 15289.13 14863.62 21686.21 19589.95 16072.43 15681.78 10789.61 14357.50 20493.58 15470.75 16786.90 14692.52 109
DCV-MVSNet81.17 12080.47 12283.24 15289.13 14863.62 21686.21 19589.95 16072.43 15681.78 10789.61 14357.50 20493.58 15470.75 16786.90 14692.52 109
CS-MVS84.53 7384.97 6883.23 15487.54 20463.27 22888.82 11093.50 2875.98 8783.07 8989.73 13970.29 6895.23 8682.07 7493.70 6991.18 151
mvs_tets79.13 17177.77 18283.22 15584.70 24866.37 16589.17 9590.19 15469.38 20975.40 21789.46 15044.17 31493.15 17676.78 12080.70 21890.14 188
thisisatest051577.33 21475.38 22783.18 15685.27 23963.80 21482.11 27383.27 28665.06 26675.91 20483.84 27849.54 27694.27 12067.24 20586.19 15791.48 144
CDS-MVSNet79.07 17377.70 18583.17 15787.60 19968.23 13484.40 24286.20 24867.49 23976.36 19486.54 23361.54 16390.79 25161.86 24887.33 14090.49 176
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v7n78.97 17677.58 18983.14 15883.45 26965.51 18288.32 13191.21 12773.69 13672.41 25586.32 23957.93 19893.81 14469.18 18575.65 27590.11 191
BH-RMVSNet79.61 15578.44 16383.14 15889.38 13365.93 17384.95 22587.15 23573.56 13978.19 15589.79 13756.67 21293.36 16659.53 26686.74 14990.13 189
UniMVSNet (Re)81.60 11481.11 11183.09 16088.38 17664.41 20487.60 15493.02 4678.42 3278.56 14688.16 18469.78 7393.26 16969.58 18276.49 26391.60 138
PLCcopyleft70.83 1178.05 19876.37 21683.08 16191.88 8567.80 14188.19 13789.46 17364.33 27669.87 28488.38 17753.66 23293.58 15458.86 27382.73 19687.86 259
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v119279.59 15778.43 16483.07 16283.55 26764.52 19886.93 17390.58 14170.83 18077.78 16385.90 24459.15 19293.94 13673.96 14177.19 25390.76 165
v2v48280.23 14579.29 14683.05 16383.62 26564.14 20887.04 16989.97 15973.61 13778.18 15687.22 20861.10 17593.82 14376.11 12376.78 26191.18 151
TAMVS78.89 17877.51 19083.03 16487.80 19267.79 14284.72 22985.05 26067.63 23676.75 18587.70 19362.25 15390.82 25058.53 27787.13 14390.49 176
v114480.03 14979.03 15283.01 16583.78 26364.51 19987.11 16890.57 14271.96 16378.08 15986.20 24161.41 16793.94 13674.93 13477.23 25190.60 172
cascas76.72 22474.64 23482.99 16685.78 23165.88 17582.33 27189.21 18260.85 30872.74 25081.02 30947.28 29393.75 14967.48 20185.02 16689.34 220
anonymousdsp78.60 18377.15 19682.98 16780.51 32367.08 15487.24 16589.53 17165.66 26075.16 22587.19 21052.52 23792.25 20977.17 11579.34 23489.61 215
v1079.74 15478.67 15782.97 16884.06 25864.95 19387.88 14990.62 14073.11 14775.11 22786.56 23261.46 16694.05 13273.68 14275.55 27789.90 205
UniMVSNet_NR-MVSNet81.88 10681.54 10682.92 16988.46 17363.46 22387.13 16692.37 7980.19 1478.38 15089.14 15671.66 5693.05 18270.05 17576.46 26492.25 121
DU-MVS81.12 12280.52 12182.90 17087.80 19263.46 22387.02 17091.87 10579.01 2778.38 15089.07 15965.02 11893.05 18270.05 17576.46 26492.20 123
PVSNet_Blended80.98 12380.34 12482.90 17088.85 15565.40 18484.43 24092.00 9767.62 23778.11 15785.05 26566.02 10994.27 12071.52 16189.50 11589.01 230
CANet_DTU80.61 13679.87 13182.83 17285.60 23463.17 23387.36 16088.65 20576.37 7875.88 20688.44 17653.51 23393.07 18173.30 14989.74 11492.25 121
V4279.38 16678.24 17082.83 17281.10 31765.50 18385.55 21389.82 16371.57 17078.21 15486.12 24260.66 18293.18 17575.64 12875.46 28189.81 210
Anonymous2023121178.97 17677.69 18682.81 17490.54 10364.29 20690.11 7691.51 11765.01 26876.16 20288.13 18950.56 26593.03 18569.68 18177.56 24991.11 154
v192192079.22 16878.03 17382.80 17583.30 27263.94 21286.80 17790.33 15069.91 19977.48 16885.53 25358.44 19693.75 14973.60 14376.85 25990.71 168
v879.97 15179.02 15382.80 17584.09 25764.50 20187.96 14390.29 15374.13 12975.24 22486.81 21762.88 14393.89 14274.39 13775.40 28390.00 199
TAPA-MVS73.13 979.15 17077.94 17582.79 17789.59 12362.99 23788.16 13991.51 11765.77 25877.14 17991.09 10960.91 17893.21 17050.26 32187.05 14492.17 125
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v14419279.47 16078.37 16682.78 17883.35 27063.96 21186.96 17190.36 14969.99 19677.50 16785.67 25060.66 18293.77 14774.27 13876.58 26290.62 170
NR-MVSNet80.23 14579.38 14382.78 17887.80 19263.34 22686.31 19291.09 13279.01 2772.17 25889.07 15967.20 9692.81 19166.08 21575.65 27592.20 123
diffmvs82.10 10181.88 10382.76 18083.00 28263.78 21583.68 25289.76 16572.94 15182.02 10189.85 13665.96 11190.79 25182.38 7387.30 14193.71 64
v124078.99 17577.78 18182.64 18183.21 27463.54 22086.62 18490.30 15269.74 20577.33 17185.68 24957.04 21093.76 14873.13 15276.92 25590.62 170
Fast-Effi-MVS+-dtu78.02 19976.49 21282.62 18283.16 27866.96 15986.94 17287.45 23072.45 15371.49 26584.17 27354.79 22291.58 22967.61 19980.31 22389.30 221
RPMNet73.51 25870.49 27482.58 18381.32 31465.19 18975.92 32492.27 8357.60 33372.73 25176.45 34352.30 24195.43 7548.14 33377.71 24687.11 280
F-COLMAP76.38 23174.33 24082.50 18489.28 14166.95 16088.41 12689.03 18964.05 28066.83 30988.61 17046.78 29692.89 18757.48 28578.55 23887.67 262
TranMVSNet+NR-MVSNet80.84 12680.31 12582.42 18587.85 19062.33 24287.74 15291.33 12380.55 1177.99 16089.86 13565.23 11692.62 19267.05 20875.24 28992.30 119
MVSTER79.01 17477.88 17882.38 18683.07 27964.80 19584.08 24988.95 19569.01 22278.69 14287.17 21154.70 22392.43 19974.69 13580.57 22089.89 206
PVSNet_BlendedMVS80.60 13780.02 12882.36 18788.85 15565.40 18486.16 19792.00 9769.34 21078.11 15786.09 24366.02 10994.27 12071.52 16182.06 20387.39 269
EI-MVSNet80.52 14079.98 12982.12 18884.28 25363.19 23286.41 18988.95 19574.18 12778.69 14287.54 19966.62 9992.43 19972.57 15780.57 22090.74 167
IterMVS-LS80.06 14879.38 14382.11 18985.89 22963.20 23186.79 17889.34 17574.19 12675.45 21586.72 22066.62 9992.39 20172.58 15676.86 25890.75 166
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
bset_n11_16_dypcd77.12 21775.47 22382.06 19081.12 31665.99 17181.37 28283.20 28969.94 19876.09 20383.38 28647.75 29092.26 20878.51 9977.91 24587.95 255
BH-untuned79.47 16078.60 15982.05 19189.19 14665.91 17486.07 19988.52 20872.18 15975.42 21687.69 19461.15 17493.54 15860.38 25986.83 14886.70 288
ACMH+68.96 1476.01 23574.01 24282.03 19288.60 16865.31 18888.86 10787.55 22670.25 19367.75 29887.47 20141.27 32993.19 17458.37 27875.94 27287.60 264
Anonymous20240521178.25 19077.01 19881.99 19391.03 9360.67 26384.77 22883.90 27570.65 18780.00 12891.20 10641.08 33191.43 23465.21 22185.26 16593.85 56
GA-MVS76.87 22275.17 23181.97 19482.75 28862.58 23981.44 28186.35 24772.16 16174.74 23482.89 29046.20 30192.02 21768.85 19081.09 21291.30 149
CNLPA78.08 19676.79 20581.97 19490.40 10671.07 6987.59 15584.55 26566.03 25672.38 25689.64 14257.56 20386.04 30659.61 26583.35 18788.79 241
MVS78.19 19476.99 20081.78 19685.66 23266.99 15584.66 23090.47 14455.08 34572.02 26085.27 25863.83 12894.11 13166.10 21489.80 11384.24 319
ACMH67.68 1675.89 23673.93 24381.77 19788.71 16566.61 16288.62 11989.01 19169.81 20066.78 31086.70 22541.95 32891.51 23355.64 29778.14 24487.17 276
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
UniMVSNet_ETH3D79.10 17278.24 17081.70 19886.85 21760.24 26987.28 16488.79 19874.25 12576.84 18190.53 12249.48 27791.56 23067.98 19682.15 20293.29 83
VNet82.21 10082.41 9181.62 19990.82 9860.93 25884.47 23689.78 16476.36 7984.07 7791.88 8864.71 12290.26 25770.68 16988.89 12093.66 65
XVG-ACMP-BASELINE76.11 23474.27 24181.62 19983.20 27564.67 19783.60 25689.75 16669.75 20371.85 26187.09 21332.78 35492.11 21469.99 17780.43 22288.09 254
eth_miper_zixun_eth77.92 20276.69 20981.61 20183.00 28261.98 24783.15 26289.20 18369.52 20774.86 23384.35 27161.76 15992.56 19571.50 16372.89 31090.28 184
PAPM77.68 20876.40 21581.51 20287.29 21161.85 24983.78 25189.59 17064.74 27071.23 26688.70 16662.59 14693.66 15352.66 30887.03 14589.01 230
v14878.72 18077.80 18081.47 20382.73 28961.96 24886.30 19388.08 21573.26 14676.18 19985.47 25562.46 14992.36 20371.92 16073.82 30290.09 193
LTVRE_ROB69.57 1376.25 23274.54 23781.41 20488.60 16864.38 20579.24 30189.12 18870.76 18469.79 28687.86 19149.09 28293.20 17256.21 29680.16 22486.65 289
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
GBi-Net78.40 18677.40 19181.40 20587.60 19963.01 23488.39 12789.28 17771.63 16775.34 21987.28 20454.80 21991.11 24162.72 23779.57 22990.09 193
test178.40 18677.40 19181.40 20587.60 19963.01 23488.39 12789.28 17771.63 16775.34 21987.28 20454.80 21991.11 24162.72 23779.57 22990.09 193
FMVSNet177.44 21176.12 21881.40 20586.81 21963.01 23488.39 12789.28 17770.49 18974.39 23787.28 20449.06 28391.11 24160.91 25678.52 23990.09 193
RRT_test8_iter0578.38 18877.40 19181.34 20886.00 22858.86 27886.55 18791.26 12572.13 16275.91 20487.42 20244.97 30993.73 15177.02 11775.30 28691.45 146
baseline275.70 23873.83 24681.30 20983.26 27361.79 25182.57 26980.65 31266.81 24266.88 30783.42 28557.86 20092.19 21163.47 23179.57 22989.91 204
c3_l78.75 17977.91 17681.26 21082.89 28661.56 25384.09 24889.13 18769.97 19775.56 21084.29 27266.36 10392.09 21573.47 14775.48 27990.12 190
cl2278.07 19777.01 19881.23 21182.37 29861.83 25083.55 25787.98 21768.96 22375.06 22983.87 27661.40 16891.88 22373.53 14476.39 26689.98 202
FMVSNet278.20 19377.21 19581.20 21287.60 19962.89 23887.47 15889.02 19071.63 16775.29 22387.28 20454.80 21991.10 24462.38 24179.38 23389.61 215
TR-MVS77.44 21176.18 21781.20 21288.24 17963.24 22984.61 23486.40 24567.55 23877.81 16286.48 23554.10 22893.15 17657.75 28482.72 19787.20 275
ab-mvs79.51 15878.97 15481.14 21488.46 17360.91 25983.84 25089.24 18170.36 19079.03 13688.87 16463.23 13690.21 25965.12 22282.57 19992.28 120
MVP-Stereo76.12 23374.46 23981.13 21585.37 23869.79 9784.42 24187.95 21865.03 26767.46 30185.33 25753.28 23591.73 22758.01 28283.27 18881.85 338
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
miper_ehance_all_eth78.59 18477.76 18381.08 21682.66 29161.56 25383.65 25389.15 18568.87 22575.55 21183.79 28066.49 10192.03 21673.25 15076.39 26689.64 214
FIs82.07 10382.42 9081.04 21788.80 16058.34 28388.26 13593.49 3076.93 6278.47 14991.04 11169.92 7292.34 20569.87 17984.97 16792.44 115
FMVSNet377.88 20376.85 20380.97 21886.84 21862.36 24186.52 18888.77 19971.13 17575.34 21986.66 22754.07 22991.10 24462.72 23779.57 22989.45 218
miper_enhance_ethall77.87 20476.86 20280.92 21981.65 30561.38 25582.68 26788.98 19265.52 26275.47 21282.30 29865.76 11392.00 21872.95 15376.39 26689.39 219
BH-w/o78.21 19277.33 19480.84 22088.81 15965.13 19184.87 22687.85 22269.75 20374.52 23684.74 26861.34 16993.11 17958.24 28085.84 16384.27 318
COLMAP_ROBcopyleft66.92 1773.01 26570.41 27680.81 22187.13 21465.63 18088.30 13284.19 27262.96 29063.80 33387.69 19438.04 34292.56 19546.66 33874.91 29184.24 319
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
VPA-MVSNet80.60 13780.55 12080.76 22288.07 18460.80 26186.86 17591.58 11575.67 9380.24 12589.45 15263.34 13290.25 25870.51 17179.22 23791.23 150
EG-PatchMatch MVS74.04 25371.82 26280.71 22384.92 24667.42 14885.86 20588.08 21566.04 25564.22 32983.85 27735.10 35092.56 19557.44 28680.83 21582.16 337
ECVR-MVScopyleft79.61 15579.26 14780.67 22490.08 11254.69 32587.89 14877.44 33574.88 10980.27 12492.79 7648.96 28592.45 19868.55 19292.50 8094.86 12
cl____77.72 20676.76 20680.58 22582.49 29560.48 26683.09 26387.87 22069.22 21374.38 23885.22 26062.10 15691.53 23171.09 16575.41 28289.73 213
DIV-MVS_self_test77.72 20676.76 20680.58 22582.48 29660.48 26683.09 26387.86 22169.22 21374.38 23885.24 25962.10 15691.53 23171.09 16575.40 28389.74 212
MSDG73.36 26170.99 27080.49 22784.51 25165.80 17680.71 28686.13 25065.70 25965.46 32083.74 28144.60 31090.91 24951.13 31476.89 25784.74 314
pmmvs474.03 25471.91 26080.39 22881.96 30268.32 13181.45 28082.14 29959.32 32069.87 28485.13 26252.40 24088.13 29160.21 26174.74 29384.73 315
HY-MVS69.67 1277.95 20177.15 19680.36 22987.57 20360.21 27083.37 26087.78 22366.11 25375.37 21887.06 21563.27 13490.48 25661.38 25382.43 20090.40 180
mvs_anonymous79.42 16379.11 15180.34 23084.45 25257.97 28982.59 26887.62 22567.40 24076.17 20188.56 17368.47 8589.59 26870.65 17086.05 15993.47 78
1112_ss77.40 21376.43 21480.32 23189.11 15260.41 26883.65 25387.72 22462.13 30073.05 24886.72 22062.58 14789.97 26262.11 24680.80 21690.59 173
WR-MVS79.49 15979.22 14980.27 23288.79 16158.35 28285.06 22288.61 20778.56 3077.65 16588.34 17863.81 12990.66 25464.98 22477.22 25291.80 136
131476.53 22575.30 23080.21 23383.93 26162.32 24384.66 23088.81 19760.23 31270.16 27884.07 27555.30 21790.73 25367.37 20283.21 18987.59 266
test111179.43 16279.18 15080.15 23489.99 11653.31 33887.33 16277.05 33875.04 10580.23 12692.77 7848.97 28492.33 20668.87 18992.40 8294.81 15
IterMVS-SCA-FT75.43 24273.87 24580.11 23582.69 29064.85 19481.57 27983.47 28369.16 21670.49 27284.15 27451.95 24988.15 29069.23 18472.14 31587.34 271
FC-MVSNet-test81.52 11582.02 10080.03 23688.42 17555.97 31987.95 14493.42 3477.10 5877.38 17090.98 11669.96 7191.79 22468.46 19484.50 17292.33 116
testdata79.97 23790.90 9664.21 20784.71 26259.27 32185.40 4892.91 7062.02 15889.08 27768.95 18891.37 9386.63 290
SCA74.22 25172.33 25879.91 23884.05 25962.17 24579.96 29579.29 32666.30 25272.38 25680.13 31851.95 24988.60 28559.25 26877.67 24888.96 234
thres40076.50 22675.37 22879.86 23989.13 14857.65 29585.17 21883.60 27873.41 14476.45 19086.39 23752.12 24491.95 21948.33 32983.75 18190.00 199
test_040272.79 26870.44 27579.84 24088.13 18165.99 17185.93 20284.29 26965.57 26167.40 30385.49 25446.92 29592.61 19335.88 35974.38 29680.94 343
OurMVSNet-221017-074.26 25072.42 25779.80 24183.76 26459.59 27485.92 20386.64 24166.39 25166.96 30687.58 19639.46 33591.60 22865.76 21869.27 32788.22 252
test250677.30 21576.49 21279.74 24290.08 11252.02 34187.86 15063.10 36874.88 10980.16 12792.79 7638.29 34192.35 20468.74 19192.50 8094.86 12
SixPastTwentyTwo73.37 25971.26 26979.70 24385.08 24557.89 29185.57 20983.56 28071.03 17865.66 31985.88 24542.10 32692.57 19459.11 27063.34 34488.65 245
thres600view776.50 22675.44 22479.68 24489.40 13157.16 30085.53 21583.23 28773.79 13576.26 19687.09 21351.89 25191.89 22248.05 33483.72 18490.00 199
CR-MVSNet73.37 25971.27 26879.67 24581.32 31465.19 18975.92 32480.30 31859.92 31572.73 25181.19 30652.50 23886.69 30159.84 26377.71 24687.11 280
D2MVS74.82 24673.21 25079.64 24679.81 33062.56 24080.34 29187.35 23164.37 27568.86 29182.66 29446.37 29890.10 26167.91 19781.24 21186.25 293
AllTest70.96 27968.09 29179.58 24785.15 24163.62 21684.58 23579.83 32262.31 29860.32 34386.73 21832.02 35588.96 28150.28 31971.57 31986.15 296
TestCases79.58 24785.15 24163.62 21679.83 32262.31 29860.32 34386.73 21832.02 35588.96 28150.28 31971.57 31986.15 296
tfpn200view976.42 22975.37 22879.55 24989.13 14857.65 29585.17 21883.60 27873.41 14476.45 19086.39 23752.12 24491.95 21948.33 32983.75 18189.07 223
thres100view90076.50 22675.55 22279.33 25089.52 12656.99 30385.83 20783.23 28773.94 13176.32 19587.12 21251.89 25191.95 21948.33 32983.75 18189.07 223
CostFormer75.24 24573.90 24479.27 25182.65 29258.27 28480.80 28382.73 29561.57 30375.33 22283.13 28855.52 21591.07 24764.98 22478.34 24388.45 249
Test_1112_low_res76.40 23075.44 22479.27 25189.28 14158.09 28581.69 27787.07 23659.53 31972.48 25486.67 22661.30 17089.33 27260.81 25880.15 22590.41 179
DWT-MVSNet_test73.70 25671.86 26179.21 25382.91 28558.94 27782.34 27082.17 29865.21 26371.05 26978.31 33244.21 31390.17 26063.29 23577.28 25088.53 248
K. test v371.19 27768.51 28579.21 25383.04 28157.78 29484.35 24376.91 33972.90 15262.99 33682.86 29139.27 33691.09 24661.65 25052.66 35888.75 242
lessismore_v078.97 25581.01 31857.15 30165.99 36361.16 34182.82 29239.12 33791.34 23759.67 26446.92 36388.43 250
pm-mvs177.25 21676.68 21078.93 25684.22 25558.62 28186.41 18988.36 21071.37 17373.31 24488.01 19061.22 17389.15 27664.24 22873.01 30989.03 229
thres20075.55 24074.47 23878.82 25787.78 19557.85 29283.07 26583.51 28172.44 15575.84 20784.42 27052.08 24691.75 22547.41 33683.64 18586.86 284
VPNet78.69 18178.66 15878.76 25888.31 17855.72 32184.45 23986.63 24276.79 6678.26 15390.55 12159.30 19189.70 26766.63 21077.05 25490.88 162
tpm273.26 26271.46 26478.63 25983.34 27156.71 30880.65 28780.40 31756.63 33973.55 24282.02 30351.80 25391.24 23956.35 29578.42 24287.95 255
pmmvs674.69 24773.39 24878.61 26081.38 31157.48 29886.64 18387.95 21864.99 26970.18 27686.61 22850.43 26789.52 26962.12 24570.18 32588.83 239
WR-MVS_H78.51 18578.49 16178.56 26188.02 18656.38 31488.43 12392.67 6777.14 5673.89 24187.55 19866.25 10589.24 27458.92 27273.55 30490.06 197
RPSCF73.23 26371.46 26478.54 26282.50 29459.85 27182.18 27282.84 29458.96 32371.15 26889.41 15445.48 30884.77 31658.82 27471.83 31791.02 159
pmmvs-eth3d70.50 28467.83 29578.52 26377.37 34566.18 16881.82 27481.51 30558.90 32463.90 33280.42 31642.69 32186.28 30558.56 27665.30 34083.11 330
PatchmatchNetpermissive73.12 26471.33 26778.49 26483.18 27660.85 26079.63 29778.57 32864.13 27771.73 26279.81 32351.20 25885.97 30757.40 28776.36 26988.66 244
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
IterMVS74.29 24972.94 25378.35 26581.53 30863.49 22281.58 27882.49 29668.06 23569.99 28183.69 28251.66 25585.54 30965.85 21771.64 31886.01 300
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ITE_SJBPF78.22 26681.77 30460.57 26483.30 28569.25 21267.54 30087.20 20936.33 34787.28 29954.34 30174.62 29486.80 285
ppachtmachnet_test70.04 28867.34 30178.14 26779.80 33161.13 25679.19 30380.59 31359.16 32265.27 32279.29 32446.75 29787.29 29849.33 32566.72 33486.00 302
tfpnnormal74.39 24873.16 25178.08 26886.10 22758.05 28684.65 23387.53 22770.32 19171.22 26785.63 25154.97 21889.86 26343.03 35075.02 29086.32 292
Vis-MVSNet (Re-imp)78.36 18978.45 16278.07 26988.64 16751.78 34486.70 18279.63 32474.14 12875.11 22790.83 11761.29 17189.75 26558.10 28191.60 8992.69 106
TransMVSNet (Re)75.39 24474.56 23677.86 27085.50 23657.10 30286.78 17986.09 25172.17 16071.53 26487.34 20363.01 14289.31 27356.84 29261.83 34687.17 276
PEN-MVS77.73 20577.69 18677.84 27187.07 21553.91 33287.91 14791.18 12877.56 4473.14 24788.82 16561.23 17289.17 27559.95 26272.37 31290.43 178
CP-MVSNet78.22 19178.34 16777.84 27187.83 19154.54 32787.94 14591.17 12977.65 3973.48 24388.49 17462.24 15488.43 28762.19 24374.07 29790.55 174
PS-CasMVS78.01 20078.09 17277.77 27387.71 19654.39 32988.02 14191.22 12677.50 4773.26 24588.64 16960.73 17988.41 28861.88 24773.88 30190.53 175
baseline176.98 22076.75 20877.66 27488.13 18155.66 32285.12 22181.89 30173.04 14976.79 18388.90 16262.43 15087.78 29563.30 23471.18 32189.55 217
OpenMVS_ROBcopyleft64.09 1970.56 28368.19 28877.65 27580.26 32459.41 27685.01 22382.96 29358.76 32565.43 32182.33 29737.63 34491.23 24045.34 34676.03 27182.32 335
Patchmatch-RL test70.24 28667.78 29777.61 27677.43 34459.57 27571.16 34070.33 35362.94 29168.65 29372.77 35150.62 26485.49 31069.58 18266.58 33687.77 261
Baseline_NR-MVSNet78.15 19578.33 16877.61 27685.79 23056.21 31786.78 17985.76 25373.60 13877.93 16187.57 19765.02 11888.99 27867.14 20775.33 28587.63 263
DTE-MVSNet76.99 21976.80 20477.54 27886.24 22553.06 34087.52 15690.66 13977.08 5972.50 25388.67 16860.48 18589.52 26957.33 28870.74 32390.05 198
LCM-MVSNet-Re77.05 21876.94 20177.36 27987.20 21251.60 34580.06 29380.46 31675.20 10267.69 29986.72 22062.48 14888.98 27963.44 23289.25 11891.51 141
tpm cat170.57 28268.31 28777.35 28082.41 29757.95 29078.08 31380.22 32052.04 35168.54 29577.66 33852.00 24887.84 29451.77 31072.07 31686.25 293
MS-PatchMatch73.83 25572.67 25477.30 28183.87 26266.02 17081.82 27484.66 26361.37 30668.61 29482.82 29247.29 29288.21 28959.27 26784.32 17577.68 352
MVS_030472.48 26970.89 27277.24 28282.20 29959.68 27284.11 24783.49 28267.10 24166.87 30880.59 31435.00 35187.40 29759.07 27179.58 22884.63 316
EPNet_dtu75.46 24174.86 23277.23 28382.57 29354.60 32686.89 17483.09 29171.64 16666.25 31785.86 24655.99 21488.04 29254.92 29986.55 15289.05 228
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
miper_lstm_enhance74.11 25273.11 25277.13 28480.11 32659.62 27372.23 33886.92 23966.76 24470.40 27382.92 28956.93 21182.92 32769.06 18772.63 31188.87 237
TDRefinement67.49 30264.34 31176.92 28573.47 36061.07 25784.86 22782.98 29259.77 31658.30 34985.13 26226.06 36087.89 29347.92 33560.59 35081.81 339
JIA-IIPM66.32 31162.82 32176.82 28677.09 34661.72 25265.34 35675.38 34258.04 33064.51 32762.32 35842.05 32786.51 30351.45 31369.22 32882.21 336
PatchMatch-RL72.38 27170.90 27176.80 28788.60 16867.38 15079.53 29876.17 34162.75 29469.36 28982.00 30445.51 30784.89 31553.62 30480.58 21978.12 351
tpmvs71.09 27869.29 28176.49 28882.04 30156.04 31878.92 30681.37 30764.05 28067.18 30578.28 33349.74 27589.77 26449.67 32472.37 31283.67 324
CMPMVSbinary51.72 2170.19 28768.16 28976.28 28973.15 36257.55 29779.47 29983.92 27448.02 35556.48 35484.81 26643.13 31886.42 30462.67 24081.81 20784.89 312
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
USDC70.33 28568.37 28676.21 29080.60 32156.23 31679.19 30386.49 24360.89 30761.29 34085.47 25531.78 35789.47 27153.37 30576.21 27082.94 334
gg-mvs-nofinetune69.95 28967.96 29275.94 29183.07 27954.51 32877.23 31970.29 35463.11 28770.32 27462.33 35743.62 31688.69 28453.88 30387.76 13384.62 317
MDA-MVSNet-bldmvs66.68 30763.66 31575.75 29279.28 33860.56 26573.92 33578.35 32964.43 27350.13 36079.87 32244.02 31583.67 32246.10 34256.86 35383.03 332
PVSNet64.34 1872.08 27470.87 27375.69 29386.21 22656.44 31274.37 33480.73 31162.06 30170.17 27782.23 30042.86 32083.31 32554.77 30084.45 17487.32 272
pmmvs571.55 27570.20 27875.61 29477.83 34256.39 31381.74 27680.89 30857.76 33167.46 30184.49 26949.26 28185.32 31257.08 29075.29 28785.11 311
our_test_369.14 29367.00 30375.57 29579.80 33158.80 27977.96 31477.81 33159.55 31862.90 33778.25 33447.43 29183.97 32051.71 31167.58 33383.93 323
WTY-MVS75.65 23975.68 22075.57 29586.40 22456.82 30577.92 31682.40 29765.10 26576.18 19987.72 19263.13 14180.90 33560.31 26081.96 20489.00 232
Patchmtry70.74 28069.16 28275.49 29780.72 31954.07 33174.94 33380.30 31858.34 32770.01 27981.19 30652.50 23886.54 30253.37 30571.09 32285.87 303
GG-mvs-BLEND75.38 29881.59 30755.80 32079.32 30069.63 35667.19 30473.67 35043.24 31788.90 28350.41 31684.50 17281.45 340
ambc75.24 29973.16 36150.51 35263.05 36087.47 22964.28 32877.81 33717.80 36789.73 26657.88 28360.64 34985.49 304
CL-MVSNet_self_test72.37 27271.46 26475.09 30079.49 33653.53 33480.76 28585.01 26169.12 21770.51 27182.05 30257.92 19984.13 31952.27 30966.00 33887.60 264
XXY-MVS75.41 24375.56 22174.96 30183.59 26657.82 29380.59 28883.87 27666.54 25074.93 23288.31 17963.24 13580.09 33862.16 24476.85 25986.97 282
MIMVSNet70.69 28169.30 28074.88 30284.52 25056.35 31575.87 32679.42 32564.59 27167.76 29782.41 29641.10 33081.54 33246.64 34081.34 20986.75 287
ADS-MVSNet266.20 31463.33 31674.82 30379.92 32858.75 28067.55 35375.19 34353.37 34865.25 32375.86 34442.32 32380.53 33741.57 35368.91 32985.18 308
TinyColmap67.30 30564.81 30974.76 30481.92 30356.68 30980.29 29281.49 30660.33 31056.27 35583.22 28724.77 36187.66 29645.52 34469.47 32679.95 347
test-LLR72.94 26772.43 25674.48 30581.35 31258.04 28778.38 30977.46 33366.66 24669.95 28279.00 32748.06 28879.24 33966.13 21284.83 16886.15 296
test-mter71.41 27670.39 27774.48 30581.35 31258.04 28778.38 30977.46 33360.32 31169.95 28279.00 32736.08 34879.24 33966.13 21284.83 16886.15 296
tpm72.37 27271.71 26374.35 30782.19 30052.00 34279.22 30277.29 33664.56 27272.95 24983.68 28351.35 25683.26 32658.33 27975.80 27387.81 260
CVMVSNet72.99 26672.58 25574.25 30884.28 25350.85 35086.41 18983.45 28444.56 35673.23 24687.54 19949.38 27885.70 30865.90 21678.44 24186.19 295
FMVSNet569.50 29167.96 29274.15 30982.97 28455.35 32380.01 29482.12 30062.56 29663.02 33481.53 30536.92 34581.92 33048.42 32874.06 29885.17 310
MIMVSNet168.58 29866.78 30573.98 31080.07 32751.82 34380.77 28484.37 26664.40 27459.75 34682.16 30136.47 34683.63 32342.73 35170.33 32486.48 291
Anonymous2024052168.80 29667.22 30273.55 31174.33 35554.11 33083.18 26185.61 25458.15 32861.68 33980.94 31130.71 35881.27 33457.00 29173.34 30885.28 307
sss73.60 25773.64 24773.51 31282.80 28755.01 32476.12 32281.69 30462.47 29774.68 23585.85 24757.32 20678.11 34560.86 25780.93 21387.39 269
KD-MVS_2432*160066.22 31263.89 31373.21 31375.47 35353.42 33670.76 34384.35 26764.10 27866.52 31378.52 33034.55 35284.98 31350.40 31750.33 36181.23 341
miper_refine_blended66.22 31263.89 31373.21 31375.47 35353.42 33670.76 34384.35 26764.10 27866.52 31378.52 33034.55 35284.98 31350.40 31750.33 36181.23 341
PM-MVS66.41 31064.14 31273.20 31573.92 35756.45 31178.97 30564.96 36663.88 28464.72 32680.24 31719.84 36683.44 32466.24 21164.52 34279.71 348
tpmrst72.39 27072.13 25973.18 31680.54 32249.91 35379.91 29679.08 32763.11 28771.69 26379.95 32055.32 21682.77 32865.66 21973.89 30086.87 283
TESTMET0.1,169.89 29069.00 28372.55 31779.27 33956.85 30478.38 30974.71 34757.64 33268.09 29677.19 34037.75 34376.70 35063.92 22984.09 17784.10 322
KD-MVS_self_test68.81 29567.59 30072.46 31874.29 35645.45 36077.93 31587.00 23763.12 28663.99 33178.99 32942.32 32384.77 31656.55 29464.09 34387.16 278
CHOSEN 280x42066.51 30964.71 31071.90 31981.45 30963.52 22157.98 36168.95 36053.57 34762.59 33876.70 34146.22 30075.29 35755.25 29879.68 22776.88 354
EPMVS69.02 29468.16 28971.59 32079.61 33449.80 35577.40 31866.93 36262.82 29370.01 27979.05 32545.79 30477.86 34756.58 29375.26 28887.13 279
YYNet165.03 31562.91 31971.38 32175.85 34956.60 31069.12 35074.66 34857.28 33654.12 35677.87 33645.85 30374.48 35949.95 32261.52 34883.05 331
MDA-MVSNet_test_wron65.03 31562.92 31871.37 32275.93 34856.73 30669.09 35174.73 34657.28 33654.03 35777.89 33545.88 30274.39 36049.89 32361.55 34782.99 333
UnsupCasMVSNet_eth67.33 30465.99 30771.37 32273.48 35951.47 34775.16 32985.19 25865.20 26460.78 34280.93 31342.35 32277.20 34957.12 28953.69 35785.44 305
PMMVS69.34 29268.67 28471.35 32475.67 35062.03 24675.17 32873.46 34950.00 35468.68 29279.05 32552.07 24778.13 34461.16 25582.77 19573.90 355
EU-MVSNet68.53 29967.61 29971.31 32578.51 34147.01 35984.47 23684.27 27042.27 35766.44 31684.79 26740.44 33383.76 32158.76 27568.54 33283.17 328
Anonymous2023120668.60 29767.80 29671.02 32680.23 32550.75 35178.30 31280.47 31556.79 33866.11 31882.63 29546.35 29978.95 34143.62 34975.70 27483.36 327
dp66.80 30665.43 30870.90 32779.74 33348.82 35675.12 33174.77 34559.61 31764.08 33077.23 33942.89 31980.72 33648.86 32766.58 33683.16 329
PatchT68.46 30067.85 29470.29 32880.70 32043.93 36372.47 33774.88 34460.15 31370.55 27076.57 34249.94 27281.59 33150.58 31574.83 29285.34 306
UnsupCasMVSNet_bld63.70 32061.53 32470.21 32973.69 35851.39 34872.82 33681.89 30155.63 34357.81 35071.80 35338.67 33878.61 34249.26 32652.21 35980.63 344
Patchmatch-test64.82 31763.24 31769.57 33079.42 33749.82 35463.49 35969.05 35951.98 35259.95 34580.13 31850.91 26070.98 36340.66 35573.57 30387.90 258
LF4IMVS64.02 31962.19 32269.50 33170.90 36453.29 33976.13 32177.18 33752.65 35058.59 34780.98 31023.55 36376.52 35153.06 30766.66 33578.68 350
test20.0367.45 30366.95 30468.94 33275.48 35244.84 36277.50 31777.67 33266.66 24663.01 33583.80 27947.02 29478.40 34342.53 35268.86 33183.58 325
test0.0.03 168.00 30167.69 29868.90 33377.55 34347.43 35775.70 32772.95 35166.66 24666.56 31182.29 29948.06 28875.87 35444.97 34774.51 29583.41 326
PVSNet_057.27 2061.67 32259.27 32568.85 33479.61 33457.44 29968.01 35273.44 35055.93 34258.54 34870.41 35444.58 31177.55 34847.01 33735.91 36471.55 357
ADS-MVSNet64.36 31862.88 32068.78 33579.92 32847.17 35867.55 35371.18 35253.37 34865.25 32375.86 34442.32 32373.99 36141.57 35368.91 32985.18 308
pmmvs357.79 32454.26 32868.37 33664.02 36856.72 30775.12 33165.17 36440.20 35952.93 35869.86 35520.36 36575.48 35645.45 34555.25 35672.90 356
LCM-MVSNet54.25 32649.68 33267.97 33753.73 37145.28 36166.85 35580.78 31035.96 36339.45 36362.23 3598.70 37578.06 34648.24 33251.20 36080.57 345
EGC-MVSNET52.07 32947.05 33367.14 33883.51 26860.71 26280.50 28967.75 3610.07 3740.43 37575.85 34624.26 36281.54 33228.82 36262.25 34559.16 362
testgi66.67 30866.53 30667.08 33975.62 35141.69 36675.93 32376.50 34066.11 25365.20 32586.59 22935.72 34974.71 35843.71 34873.38 30784.84 313
ANet_high50.57 33146.10 33463.99 34048.67 37439.13 36770.99 34280.85 30961.39 30531.18 36557.70 36217.02 36873.65 36231.22 36115.89 37179.18 349
MVS-HIRNet59.14 32357.67 32663.57 34181.65 30543.50 36471.73 33965.06 36539.59 36151.43 35957.73 36138.34 34082.58 32939.53 35673.95 29964.62 360
new-patchmatchnet61.73 32161.73 32361.70 34272.74 36324.50 37669.16 34978.03 33061.40 30456.72 35375.53 34738.42 33976.48 35245.95 34357.67 35284.13 321
DSMNet-mixed57.77 32556.90 32760.38 34367.70 36635.61 36969.18 34853.97 37132.30 36657.49 35179.88 32140.39 33468.57 36538.78 35772.37 31276.97 353
FPMVS53.68 32751.64 33059.81 34465.08 36751.03 34969.48 34769.58 35741.46 35840.67 36272.32 35216.46 36970.00 36424.24 36665.42 33958.40 363
PMVScopyleft37.38 2244.16 33340.28 33655.82 34540.82 37642.54 36565.12 35763.99 36734.43 36424.48 36757.12 3633.92 37776.17 35317.10 36955.52 35548.75 364
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Gipumacopyleft45.18 33241.86 33555.16 34677.03 34751.52 34632.50 36780.52 31432.46 36527.12 36635.02 3679.52 37475.50 35522.31 36760.21 35138.45 366
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new_pmnet50.91 33050.29 33152.78 34768.58 36534.94 37163.71 35856.63 37039.73 36044.95 36165.47 35621.93 36458.48 36734.98 36056.62 35464.92 359
N_pmnet52.79 32853.26 32951.40 34878.99 3407.68 37969.52 3463.89 37951.63 35357.01 35274.98 34840.83 33265.96 36637.78 35864.67 34180.56 346
PMMVS240.82 33438.86 33746.69 34953.84 37016.45 37748.61 36449.92 37237.49 36231.67 36460.97 3608.14 37656.42 36828.42 36330.72 36667.19 358
MVEpermissive26.22 2330.37 33825.89 34243.81 35044.55 37535.46 37028.87 36839.07 37518.20 36918.58 37140.18 3662.68 37847.37 37217.07 37023.78 36848.60 365
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method31.52 33629.28 34038.23 35127.03 3786.50 38020.94 36962.21 3694.05 37222.35 37052.50 36413.33 37047.58 37127.04 36534.04 36560.62 361
E-PMN31.77 33530.64 33835.15 35252.87 37227.67 37357.09 36247.86 37324.64 36716.40 37233.05 36811.23 37254.90 36914.46 37118.15 36922.87 368
EMVS30.81 33729.65 33934.27 35350.96 37325.95 37556.58 36346.80 37424.01 36815.53 37330.68 36912.47 37154.43 37012.81 37217.05 37022.43 369
DeepMVS_CXcopyleft27.40 35440.17 37726.90 37424.59 37817.44 37023.95 36848.61 3659.77 37326.48 37318.06 36824.47 36728.83 367
wuyk23d16.82 34115.94 34419.46 35558.74 36931.45 37239.22 3653.74 3806.84 3716.04 3742.70 3741.27 37924.29 37410.54 37314.40 3732.63 371
tmp_tt18.61 34021.40 34310.23 3564.82 37910.11 37834.70 36630.74 3771.48 37323.91 36926.07 37028.42 35913.41 37527.12 36415.35 3727.17 370
test1236.12 3438.11 3460.14 3570.06 3810.09 38171.05 3410.03 3820.04 3760.25 3771.30 3760.05 3800.03 3770.21 3750.01 3750.29 372
testmvs6.04 3448.02 3470.10 3580.08 3800.03 38269.74 3450.04 3810.05 3750.31 3761.68 3750.02 3810.04 3760.24 3740.02 3740.25 373
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
cdsmvs_eth3d_5k19.96 33926.61 3410.00 3590.00 3820.00 3830.00 37089.26 1800.00 3770.00 37888.61 17061.62 1620.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas5.26 3457.02 3480.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37763.15 1380.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs-re7.23 3429.64 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37886.72 2200.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
FOURS195.00 1072.39 4295.06 193.84 1874.49 11891.30 15
PC_three_145268.21 23492.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 5
test_one_060195.07 771.46 6194.14 778.27 3592.05 1195.74 680.83 11
eth-test20.00 382
eth-test0.00 382
ZD-MVS94.38 2772.22 4892.67 6770.98 17987.75 3194.07 4574.01 3896.70 2684.66 3994.84 48
RE-MVS-def85.48 5793.06 6270.63 8291.88 3792.27 8373.53 14185.69 4694.45 2863.87 12782.75 6591.87 8692.50 111
IU-MVS95.30 271.25 6392.95 5666.81 24292.39 688.94 1196.63 494.85 14
test_241102_TWO94.06 1277.24 5192.78 495.72 881.26 897.44 589.07 996.58 694.26 38
test_241102_ONE95.30 270.98 7094.06 1277.17 5593.10 195.39 1182.99 197.27 10
9.1488.26 1592.84 6891.52 4594.75 173.93 13288.57 2494.67 1975.57 2395.79 5986.77 2395.76 28
save fliter93.80 4472.35 4590.47 6691.17 12974.31 122
test_0728_THIRD78.38 3392.12 995.78 481.46 797.40 789.42 496.57 794.67 21
test072695.27 571.25 6393.60 694.11 877.33 4992.81 395.79 380.98 9
GSMVS88.96 234
test_part295.06 872.65 3391.80 13
sam_mvs151.32 25788.96 234
sam_mvs50.01 270
MTGPAbinary92.02 94
test_post178.90 3075.43 37348.81 28785.44 31159.25 268
test_post5.46 37250.36 26884.24 318
patchmatchnet-post74.00 34951.12 25988.60 285
MTMP92.18 3332.83 376
gm-plane-assit81.40 31053.83 33362.72 29580.94 31192.39 20163.40 233
test9_res84.90 3395.70 3192.87 101
TEST993.26 5672.96 2688.75 11391.89 10368.44 23285.00 5493.10 6574.36 3395.41 77
test_893.13 5872.57 3688.68 11891.84 10668.69 22884.87 6093.10 6574.43 3095.16 89
agg_prior282.91 6395.45 3392.70 104
agg_prior92.85 6671.94 5491.78 10984.41 6994.93 98
test_prior472.60 3589.01 102
test_prior288.85 10875.41 9684.91 5693.54 5474.28 3483.31 5595.86 22
旧先验286.56 18658.10 32987.04 3588.98 27974.07 140
新几何286.29 194
旧先验191.96 8265.79 17786.37 24693.08 6969.31 7992.74 7588.74 243
无先验87.48 15788.98 19260.00 31494.12 12967.28 20388.97 233
原ACMM286.86 175
test22291.50 8868.26 13384.16 24583.20 28954.63 34679.74 12991.63 9458.97 19391.42 9286.77 286
testdata291.01 24862.37 242
segment_acmp73.08 43
testdata184.14 24675.71 90
plane_prior790.08 11268.51 129
plane_prior689.84 12068.70 12460.42 186
plane_prior592.44 7595.38 8078.71 9786.32 15591.33 147
plane_prior491.00 114
plane_prior368.60 12778.44 3178.92 139
plane_prior291.25 4979.12 24
plane_prior189.90 119
plane_prior68.71 12290.38 7077.62 4086.16 158
n20.00 383
nn0.00 383
door-mid69.98 355
test1192.23 86
door69.44 358
HQP5-MVS66.98 156
HQP-NCC89.33 13489.17 9576.41 7477.23 175
ACMP_Plane89.33 13489.17 9576.41 7477.23 175
BP-MVS77.47 111
HQP4-MVS77.24 17495.11 9191.03 157
HQP3-MVS92.19 8985.99 161
HQP2-MVS60.17 189
NP-MVS89.62 12268.32 13190.24 125
MDTV_nov1_ep13_2view37.79 36875.16 32955.10 34466.53 31249.34 27953.98 30287.94 257
MDTV_nov1_ep1369.97 27983.18 27653.48 33577.10 32080.18 32160.45 30969.33 29080.44 31548.89 28686.90 30051.60 31278.51 240
ACMMP++_ref81.95 205
ACMMP++81.25 210
Test By Simon64.33 123