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 bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
SED-MVS90.08 290.85 287.77 2695.30 270.98 7093.57 794.06 1277.24 5293.10 195.72 882.99 197.44 589.07 996.63 494.88 11
test_241102_ONE95.30 270.98 7094.06 1277.17 5693.10 195.39 1182.99 197.27 10
test072695.27 571.25 6393.60 694.11 877.33 5092.81 395.79 380.98 9
DVP-MVS++90.23 191.01 187.89 2494.34 2971.25 6395.06 194.23 578.38 3592.78 495.74 682.45 397.49 389.42 496.68 294.95 7
test_241102_TWO94.06 1277.24 5292.78 495.72 881.26 897.44 589.07 996.58 694.26 40
IU-MVS95.30 271.25 6392.95 5666.81 24392.39 688.94 1196.63 494.85 16
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2393.63 2374.77 11292.29 795.97 274.28 3597.24 1188.58 1396.91 194.87 13
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
DPE-MVScopyleft89.48 589.98 488.01 1494.80 1172.69 3291.59 4394.10 1075.90 8892.29 795.66 1081.67 697.38 987.44 2096.34 1593.95 53
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
DVP-MVScopyleft89.60 390.35 387.33 4595.27 571.25 6393.49 992.73 6577.33 5092.12 995.78 480.98 997.40 789.08 796.41 1293.33 85
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
test_0728_THIRD78.38 3592.12 995.78 481.46 797.40 789.42 496.57 794.67 23
test_one_060195.07 771.46 6194.14 778.27 3792.05 1195.74 680.83 11
PC_three_145268.21 23592.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 7
test_part295.06 872.65 3391.80 13
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 23
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
FOURS195.00 1072.39 4295.06 193.84 1874.49 11891.30 15
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 30
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4193.19 4077.87 3890.32 1794.00 4874.83 2793.78 14587.63 1794.27 6393.65 72
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
DeepPCF-MVS80.84 188.10 1288.56 1286.73 5692.24 7869.03 11089.57 9093.39 3477.53 4789.79 1894.12 4378.98 1296.58 3685.66 2795.72 2994.58 26
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6789.69 16874.31 12289.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 18
SF-MVS88.46 1188.74 1187.64 3892.78 6971.95 5392.40 2394.74 275.71 9089.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 18
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4892.35 8074.62 11688.90 2193.85 5275.75 2096.00 5387.80 1594.63 5395.04 5
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4794.70 374.47 11988.86 2294.61 2175.23 2495.84 5886.62 2695.92 2194.78 20
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 4092.83 6173.01 15088.58 2394.52 2373.36 4196.49 3784.26 4795.01 4292.70 107
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
9.1488.26 1592.84 6891.52 4694.75 173.93 13288.57 2494.67 1975.57 2395.79 5986.77 2395.76 28
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3293.49 2974.75 11388.33 2594.43 3273.27 4397.02 1684.18 5194.84 4893.82 61
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5793.59 2576.27 8288.14 2695.09 1571.06 6196.67 2887.67 1696.37 1494.09 45
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2280.19 1488.10 2794.80 1673.76 4097.11 1387.51 1895.82 2494.90 10
Skip Steuart: Steuart Systems R&D Blog.
CNVR-MVS88.93 989.13 988.33 794.77 1273.82 990.51 6493.00 4780.90 988.06 2894.06 4676.43 1696.84 2088.48 1495.99 1994.34 36
canonicalmvs85.91 5585.87 5686.04 7289.84 12369.44 10890.45 7093.00 4776.70 7288.01 2991.23 10673.28 4293.91 14081.50 7988.80 12394.77 21
HPM-MVS++copyleft89.02 889.15 888.63 495.01 976.03 192.38 2692.85 6080.26 1387.78 3094.27 3675.89 1996.81 2287.45 1996.44 993.05 96
ZD-MVS94.38 2772.22 4892.67 6770.98 18087.75 3194.07 4574.01 3996.70 2684.66 3994.84 48
alignmvs85.48 6185.32 6385.96 7489.51 13069.47 10589.74 8692.47 7476.17 8387.73 3291.46 10270.32 6993.78 14581.51 7888.95 12094.63 25
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6294.05 1570.80 18287.59 3393.51 5677.57 1496.63 3183.31 5795.77 2694.72 22
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8772.45 4190.02 7894.37 471.76 16487.28 3494.27 3675.18 2596.08 4985.16 3095.77 2693.80 64
旧先验286.56 18658.10 33087.04 3588.98 27974.07 141
Regformer-286.63 4386.53 4386.95 5189.33 13771.24 6788.43 12392.05 9382.50 186.88 3690.09 13174.45 3095.61 6384.38 4390.63 10294.01 50
SR-MVS86.73 3986.67 4186.91 5294.11 4072.11 5192.37 2792.56 7374.50 11786.84 3794.65 2067.31 9695.77 6084.80 3792.85 7592.84 105
Regformer-186.41 4886.33 4686.64 5889.33 13770.93 7588.43 12391.39 12282.14 386.65 3890.09 13174.39 3395.01 9683.97 5390.63 10293.97 52
test117286.20 5286.22 4986.12 7093.95 4269.89 9691.79 4292.28 8275.07 10486.40 3994.58 2265.00 12195.56 6584.34 4592.60 7892.90 103
MP-MVS-pluss87.67 2287.72 2287.54 3993.64 5072.04 5289.80 8493.50 2875.17 10386.34 4095.29 1270.86 6296.00 5388.78 1296.04 1694.58 26
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
APD-MVS_3200maxsize85.97 5485.88 5586.22 6792.69 7269.53 10391.93 3792.99 4973.54 14085.94 4194.51 2665.80 11395.61 6383.04 6492.51 8093.53 80
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7492.02 9479.45 2185.88 4294.80 1668.07 8796.21 4386.69 2495.34 3693.23 88
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18592.02 9479.45 2185.88 4294.80 1668.07 8796.21 4386.69 2495.34 3693.23 88
TSAR-MVS + GP.85.71 5985.33 6286.84 5391.34 8972.50 3789.07 10287.28 23376.41 7585.80 4490.22 12974.15 3895.37 8281.82 7791.88 8692.65 111
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5292.83 6181.50 685.79 4593.47 5973.02 4697.00 1784.90 3394.94 4494.10 44
SR-MVS-dyc-post85.77 5785.61 5886.23 6693.06 6270.63 8291.88 3892.27 8373.53 14185.69 4694.45 2865.00 12195.56 6582.75 6791.87 8792.50 114
RE-MVS-def85.48 5993.06 6270.63 8291.88 3892.27 8373.53 14185.69 4694.45 2863.87 12882.75 6791.87 8792.50 114
testdata79.97 23890.90 9664.21 20984.71 26359.27 32285.40 4892.91 7062.02 15989.08 27768.95 18991.37 9486.63 291
Regformer-485.68 6085.45 6086.35 6288.95 15569.67 10088.29 13391.29 12481.73 585.36 4990.01 13472.62 4895.35 8383.28 6087.57 13594.03 48
abl_685.23 6684.95 7086.07 7192.23 7970.48 8690.80 5992.08 9273.51 14385.26 5094.16 4162.75 14595.92 5782.46 7491.30 9691.81 137
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6685.24 5194.32 3571.76 5596.93 1885.53 2995.79 2594.32 37
PHI-MVS86.43 4686.17 5287.24 4690.88 9770.96 7292.27 3194.07 1172.45 15385.22 5291.90 8969.47 7796.42 3883.28 6095.94 2094.35 35
patch_mono-283.65 7984.54 7480.99 21890.06 11865.83 17884.21 24588.74 20471.60 17085.01 5392.44 8074.51 2983.50 32482.15 7692.15 8493.64 74
Regformer-385.23 6685.07 6785.70 7688.95 15569.01 11288.29 13389.91 16280.95 885.01 5390.01 13472.45 4994.19 12682.50 7387.57 13593.90 56
TEST993.26 5672.96 2688.75 11391.89 10368.44 23385.00 5593.10 6574.36 3495.41 76
train_agg86.43 4686.20 5087.13 4993.26 5672.96 2688.75 11391.89 10368.69 22985.00 5593.10 6574.43 3195.41 7684.97 3295.71 3093.02 98
HFP-MVS87.58 2387.47 2587.94 1794.58 1673.54 1593.04 1293.24 3776.78 6884.91 5794.44 3070.78 6396.61 3284.53 4194.89 4693.66 67
#test#87.33 3187.13 3387.94 1794.58 1673.54 1592.34 2893.24 3775.23 10084.91 5794.44 3070.78 6396.61 3283.75 5694.89 4693.66 67
test_prior386.73 3986.86 4086.33 6392.61 7469.59 10188.85 10992.97 5475.41 9684.91 5793.54 5474.28 3595.48 7083.31 5795.86 2293.91 54
test_prior288.85 10975.41 9684.91 5793.54 5474.28 3583.31 5795.86 22
test_893.13 5872.57 3688.68 11891.84 10668.69 22984.87 6193.10 6574.43 3195.16 87
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8293.82 1973.07 14884.86 6292.89 7176.22 1796.33 3984.89 3595.13 4194.40 33
GST-MVS87.42 2887.26 2987.89 2494.12 3972.97 2592.39 2593.43 3276.89 6484.68 6393.99 5070.67 6696.82 2184.18 5195.01 4293.90 56
h-mvs3383.15 8882.19 9686.02 7390.56 10470.85 7888.15 14089.16 18476.02 8684.67 6491.39 10461.54 16495.50 6982.71 6975.48 28091.72 139
hse-mvs281.72 11080.94 11684.07 12588.72 16667.68 14485.87 20487.26 23476.02 8684.67 6488.22 18461.54 16493.48 16182.71 6973.44 30791.06 156
ACMMPR87.44 2687.23 3188.08 1394.64 1373.59 1293.04 1293.20 3976.78 6884.66 6694.52 2368.81 8596.65 2984.53 4194.90 4594.00 51
CDPH-MVS85.76 5885.29 6587.17 4893.49 5371.08 6888.58 12192.42 7868.32 23484.61 6793.48 5772.32 5096.15 4879.00 9595.43 3494.28 39
UA-Net85.08 7084.96 6985.45 8092.07 8168.07 13789.78 8590.86 13782.48 284.60 6893.20 6369.35 7895.22 8571.39 16590.88 10093.07 95
CS-MVS-test86.26 5086.48 4485.60 7790.84 9866.60 16391.16 5393.56 2679.82 1884.57 6989.89 13670.67 6695.04 9484.30 4693.48 6995.16 3
CS-MVS86.61 4486.96 3685.56 7990.78 10166.54 16592.84 1793.30 3679.67 2084.55 7092.25 8371.46 5895.00 9784.25 4993.48 6995.15 4
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7184.45 7194.52 2369.09 8196.70 2684.37 4494.83 5094.03 48
agg_prior186.22 5186.09 5486.62 5992.85 6671.94 5488.59 12091.78 10968.96 22484.41 7293.18 6474.94 2694.93 9884.75 3895.33 3893.01 99
agg_prior92.85 6671.94 5491.78 10984.41 7294.93 98
VDD-MVS83.01 9382.36 9484.96 9391.02 9466.40 16688.91 10688.11 21377.57 4384.39 7493.29 6252.19 24493.91 14077.05 11788.70 12594.57 28
casdiffmvs85.11 6985.14 6685.01 9187.20 21365.77 18187.75 15192.83 6177.84 3984.36 7592.38 8172.15 5293.93 13981.27 8190.48 10495.33 1
MSLP-MVS++85.43 6385.76 5784.45 11091.93 8370.24 8790.71 6092.86 5977.46 4984.22 7692.81 7567.16 9892.94 18680.36 8994.35 6190.16 188
DeepC-MVS_fast79.65 386.91 3886.62 4287.76 2993.52 5272.37 4491.26 4993.04 4376.62 7384.22 7693.36 6171.44 5996.76 2480.82 8595.33 3894.16 42
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DROMVSNet86.01 5386.38 4584.91 9789.31 14266.27 16992.32 2993.63 2379.37 2384.17 7891.88 9069.04 8495.43 7483.93 5493.77 6793.01 99
ETV-MVS84.90 7384.67 7385.59 7889.39 13568.66 12688.74 11592.64 7179.97 1784.10 7985.71 24969.32 7995.38 7980.82 8591.37 9492.72 106
VNet82.21 10182.41 9281.62 19990.82 9960.93 25984.47 23689.78 16476.36 8084.07 8091.88 9064.71 12390.26 25770.68 17088.89 12193.66 67
baseline84.93 7184.98 6884.80 10287.30 21165.39 18887.30 16392.88 5877.62 4184.04 8192.26 8271.81 5493.96 13381.31 8090.30 10695.03 6
PGM-MVS86.68 4186.27 4887.90 2194.22 3573.38 1990.22 7593.04 4375.53 9483.86 8294.42 3367.87 9196.64 3082.70 7194.57 5593.66 67
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2292.65 7077.57 4383.84 8394.40 3472.24 5196.28 4185.65 2895.30 4093.62 75
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3393.33 3576.07 8583.81 8493.95 5169.77 7596.01 5285.15 3194.66 5294.32 37
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CP-MVS87.11 3586.92 3787.68 3794.20 3673.86 893.98 392.82 6476.62 7383.68 8594.46 2767.93 8995.95 5684.20 5094.39 5993.23 88
XVS87.18 3486.91 3888.00 1594.42 2273.33 2092.78 1892.99 4979.14 2483.67 8694.17 4067.45 9496.60 3483.06 6294.50 5694.07 46
X-MVStestdata80.37 14477.83 18088.00 1594.42 2273.33 2092.78 1892.99 4979.14 2483.67 8612.47 37267.45 9496.60 3483.06 6294.50 5694.07 46
DELS-MVS85.41 6485.30 6485.77 7588.49 17367.93 13985.52 21793.44 3178.70 3183.63 8889.03 16274.57 2895.71 6280.26 9194.04 6593.66 67
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
LFMVS81.82 10981.23 11083.57 14291.89 8463.43 22789.84 8181.85 30477.04 6183.21 8993.10 6552.26 24393.43 16571.98 16089.95 11393.85 58
VDDNet81.52 11680.67 11984.05 12790.44 10764.13 21189.73 8785.91 25371.11 17783.18 9093.48 5750.54 26793.49 16073.40 14988.25 13194.54 29
CSCG86.41 4886.19 5187.07 5092.91 6572.48 3890.81 5893.56 2673.95 13083.16 9191.07 11275.94 1895.19 8679.94 9394.38 6093.55 78
nrg03083.88 7583.53 7884.96 9386.77 22169.28 10990.46 6992.67 6774.79 11182.95 9291.33 10572.70 4793.09 18080.79 8779.28 23792.50 114
EI-MVSNet-Vis-set84.19 7483.81 7785.31 8288.18 18267.85 14087.66 15389.73 16780.05 1682.95 9289.59 14670.74 6594.82 10680.66 8884.72 17193.28 87
MVS_Test83.15 8883.06 8483.41 14786.86 21763.21 23186.11 19892.00 9774.31 12282.87 9489.44 15470.03 7193.21 17077.39 11488.50 12993.81 62
DPM-MVS84.93 7184.29 7686.84 5390.20 11173.04 2487.12 16793.04 4369.80 20282.85 9591.22 10773.06 4596.02 5176.72 12294.63 5391.46 147
DeepC-MVS79.81 287.08 3786.88 3987.69 3691.16 9172.32 4790.31 7293.94 1777.12 5882.82 9694.23 3972.13 5397.09 1484.83 3695.37 3593.65 72
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
mPP-MVS86.67 4286.32 4787.72 3294.41 2473.55 1392.74 2092.22 8776.87 6582.81 9794.25 3866.44 10396.24 4282.88 6694.28 6293.38 82
test1286.80 5592.63 7370.70 8191.79 10882.71 9871.67 5696.16 4794.50 5693.54 79
HPM-MVS_fast85.35 6584.95 7086.57 6193.69 4870.58 8592.15 3591.62 11373.89 13382.67 9994.09 4462.60 14695.54 6880.93 8392.93 7393.57 77
Effi-MVS+83.62 8183.08 8385.24 8588.38 17867.45 14788.89 10789.15 18575.50 9582.27 10088.28 18169.61 7694.45 11677.81 10987.84 13393.84 60
EI-MVSNet-UG-set83.81 7683.38 8085.09 8987.87 19167.53 14687.44 15989.66 16979.74 1982.23 10189.41 15570.24 7094.74 10979.95 9283.92 17992.99 101
MVS_111021_HR85.14 6884.75 7286.32 6591.65 8672.70 3185.98 20090.33 15076.11 8482.08 10291.61 9771.36 6094.17 12881.02 8292.58 7992.08 130
diffmvs82.10 10281.88 10482.76 18083.00 28363.78 21783.68 25389.76 16572.94 15182.02 10389.85 13865.96 11290.79 25182.38 7587.30 14293.71 66
xiu_mvs_v1_base_debu80.80 13279.72 13684.03 13087.35 20670.19 9085.56 21088.77 19969.06 22081.83 10488.16 18550.91 26192.85 18878.29 10687.56 13789.06 226
xiu_mvs_v1_base80.80 13279.72 13684.03 13087.35 20670.19 9085.56 21088.77 19969.06 22081.83 10488.16 18550.91 26192.85 18878.29 10687.56 13789.06 226
xiu_mvs_v1_base_debi80.80 13279.72 13684.03 13087.35 20670.19 9085.56 21088.77 19969.06 22081.83 10488.16 18550.91 26192.85 18878.29 10687.56 13789.06 226
新几何183.42 14593.13 5870.71 8085.48 25657.43 33581.80 10791.98 8763.28 13492.27 20764.60 22892.99 7287.27 274
test_yl81.17 12180.47 12383.24 15389.13 15063.62 21886.21 19589.95 16072.43 15681.78 10889.61 14457.50 20593.58 15470.75 16886.90 14792.52 112
DCV-MVSNet81.17 12180.47 12383.24 15389.13 15063.62 21886.21 19589.95 16072.43 15681.78 10889.61 14457.50 20593.58 15470.75 16886.90 14792.52 112
112180.84 12779.77 13484.05 12793.11 6070.78 7984.66 23085.42 25757.37 33681.76 11092.02 8663.41 13294.12 12967.28 20492.93 7387.26 275
MG-MVS83.41 8483.45 7983.28 15092.74 7162.28 24588.17 13889.50 17275.22 10181.49 11192.74 7966.75 9995.11 8972.85 15591.58 9192.45 117
CANet86.45 4586.10 5387.51 4090.09 11370.94 7489.70 8892.59 7281.78 481.32 11291.43 10370.34 6897.23 1284.26 4793.36 7194.37 34
MVSFormer82.85 9482.05 10085.24 8587.35 20670.21 8890.50 6590.38 14668.55 23181.32 11289.47 14961.68 16193.46 16378.98 9690.26 10792.05 131
lupinMVS81.39 11980.27 12884.76 10387.35 20670.21 8885.55 21386.41 24562.85 29381.32 11288.61 17161.68 16192.24 21078.41 10490.26 10791.83 135
xiu_mvs_v2_base81.69 11281.05 11383.60 14089.15 14968.03 13884.46 23890.02 15870.67 18681.30 11586.53 23563.17 13894.19 12675.60 13188.54 12788.57 248
PS-MVSNAJ81.69 11281.02 11483.70 13989.51 13068.21 13584.28 24490.09 15770.79 18381.26 11685.62 25363.15 13994.29 11875.62 13088.87 12288.59 247
原ACMM184.35 11593.01 6468.79 11692.44 7563.96 28481.09 11791.57 9866.06 10995.45 7267.19 20794.82 5188.81 241
jason81.39 11980.29 12784.70 10486.63 22369.90 9585.95 20186.77 24163.24 28681.07 11889.47 14961.08 17792.15 21378.33 10590.07 11292.05 131
jason: jason.
OPM-MVS83.50 8282.95 8685.14 8788.79 16370.95 7389.13 10191.52 11677.55 4680.96 11991.75 9260.71 18194.50 11579.67 9486.51 15489.97 204
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
Vis-MVSNetpermissive83.46 8382.80 8985.43 8190.25 11068.74 12090.30 7390.13 15676.33 8180.87 12092.89 7161.00 17894.20 12572.45 15990.97 9893.35 84
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
ACMMPcopyleft85.89 5685.39 6187.38 4493.59 5172.63 3492.74 2093.18 4176.78 6880.73 12193.82 5364.33 12496.29 4082.67 7290.69 10193.23 88
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
Anonymous2024052980.19 14878.89 15684.10 12390.60 10364.75 19888.95 10590.90 13565.97 25880.59 12291.17 10949.97 27293.73 15169.16 18782.70 19993.81 62
test_part182.78 9582.08 9984.89 9890.66 10266.97 15890.96 5692.93 5777.19 5580.53 12390.04 13363.44 13195.39 7876.04 12676.90 25792.31 121
MVS_111021_LR82.61 9882.11 9784.11 12288.82 16071.58 5985.15 22086.16 25074.69 11480.47 12491.04 11362.29 15390.55 25580.33 9090.08 11190.20 187
ECVR-MVScopyleft79.61 15679.26 14880.67 22590.08 11454.69 32687.89 14877.44 33674.88 10980.27 12592.79 7648.96 28692.45 19868.55 19392.50 8194.86 14
VPA-MVSNet80.60 13880.55 12180.76 22388.07 18660.80 26286.86 17591.58 11575.67 9380.24 12689.45 15363.34 13390.25 25870.51 17279.22 23891.23 152
test111179.43 16379.18 15180.15 23589.99 11953.31 33987.33 16277.05 33975.04 10580.23 12792.77 7848.97 28592.33 20668.87 19092.40 8394.81 17
test250677.30 21676.49 21379.74 24390.08 11452.02 34287.86 15063.10 36974.88 10980.16 12892.79 7638.29 34292.35 20468.74 19292.50 8194.86 14
Anonymous20240521178.25 19177.01 19981.99 19391.03 9360.67 26484.77 22883.90 27670.65 18880.00 12991.20 10841.08 33291.43 23465.21 22285.26 16693.85 58
test22291.50 8868.26 13384.16 24683.20 29054.63 34779.74 13091.63 9658.97 19491.42 9386.77 287
OMC-MVS82.69 9681.97 10384.85 9988.75 16567.42 14887.98 14290.87 13674.92 10879.72 13191.65 9462.19 15693.96 13375.26 13486.42 15593.16 93
CPTT-MVS83.73 7783.33 8184.92 9693.28 5570.86 7792.09 3690.38 14668.75 22879.57 13292.83 7360.60 18593.04 18480.92 8491.56 9290.86 164
IS-MVSNet83.15 8882.81 8884.18 12189.94 12163.30 22991.59 4388.46 21079.04 2879.49 13392.16 8465.10 11894.28 11967.71 19991.86 8994.95 7
PS-MVSNAJss82.07 10481.31 10884.34 11686.51 22467.27 15289.27 9491.51 11771.75 16579.37 13490.22 12963.15 13994.27 12077.69 11082.36 20291.49 145
EPP-MVSNet83.40 8583.02 8584.57 10690.13 11264.47 20492.32 2990.73 13874.45 12179.35 13591.10 11069.05 8395.12 8872.78 15687.22 14394.13 43
DP-MVS Recon83.11 9182.09 9886.15 6894.44 2170.92 7688.79 11192.20 8870.53 18979.17 13691.03 11564.12 12696.03 5068.39 19690.14 10991.50 144
ab-mvs79.51 15978.97 15581.14 21488.46 17560.91 26083.84 25189.24 18170.36 19179.03 13788.87 16563.23 13790.21 25965.12 22382.57 20092.28 123
EIA-MVS83.31 8782.80 8984.82 10089.59 12665.59 18388.21 13692.68 6674.66 11578.96 13886.42 23769.06 8295.26 8475.54 13290.09 11093.62 75
PVSNet_Blended_VisFu82.62 9781.83 10584.96 9390.80 10069.76 9888.74 11591.70 11269.39 20978.96 13888.46 17665.47 11594.87 10574.42 13788.57 12690.24 186
HQP_MVS83.64 8083.14 8285.14 8790.08 11468.71 12291.25 5092.44 7579.12 2678.92 14091.00 11660.42 18795.38 7978.71 9886.32 15691.33 149
plane_prior368.60 12778.44 3378.92 140
RRT_MVS79.88 15378.38 16684.38 11285.42 23870.60 8488.71 11788.75 20372.30 15878.83 14289.14 15744.44 31392.18 21278.50 10179.33 23690.35 182
EI-MVSNet80.52 14179.98 13082.12 18884.28 25463.19 23386.41 18988.95 19574.18 12778.69 14387.54 20066.62 10092.43 19972.57 15880.57 22190.74 168
MVSTER79.01 17577.88 17982.38 18683.07 28064.80 19784.08 25088.95 19569.01 22378.69 14387.17 21254.70 22492.43 19974.69 13680.57 22189.89 207
API-MVS81.99 10681.23 11084.26 11990.94 9570.18 9391.10 5489.32 17671.51 17278.66 14588.28 18165.26 11695.10 9264.74 22791.23 9787.51 268
GeoE81.71 11181.01 11583.80 13889.51 13064.45 20588.97 10488.73 20571.27 17578.63 14689.76 14066.32 10593.20 17269.89 17986.02 16193.74 65
UniMVSNet (Re)81.60 11581.11 11283.09 16088.38 17864.41 20687.60 15493.02 4678.42 3478.56 14788.16 18569.78 7493.26 16969.58 18376.49 26491.60 140
MAR-MVS81.84 10880.70 11885.27 8491.32 9071.53 6089.82 8290.92 13469.77 20378.50 14886.21 24162.36 15294.52 11465.36 22192.05 8589.77 212
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
Fast-Effi-MVS+80.81 13079.92 13183.47 14388.85 15764.51 20185.53 21589.39 17470.79 18378.49 14985.06 26567.54 9393.58 15467.03 21086.58 15292.32 120
FIs82.07 10482.42 9181.04 21788.80 16258.34 28488.26 13593.49 2976.93 6378.47 15091.04 11369.92 7392.34 20569.87 18084.97 16892.44 118
UniMVSNet_NR-MVSNet81.88 10781.54 10782.92 16988.46 17563.46 22587.13 16692.37 7980.19 1478.38 15189.14 15771.66 5793.05 18270.05 17676.46 26592.25 124
DU-MVS81.12 12380.52 12282.90 17087.80 19463.46 22587.02 17091.87 10579.01 2978.38 15189.07 16065.02 11993.05 18270.05 17676.46 26592.20 126
CLD-MVS82.31 10081.65 10684.29 11888.47 17467.73 14385.81 20892.35 8075.78 8978.33 15386.58 23264.01 12794.35 11776.05 12587.48 14090.79 165
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
VPNet78.69 18278.66 15978.76 25988.31 18055.72 32284.45 23986.63 24376.79 6778.26 15490.55 12359.30 19289.70 26766.63 21177.05 25590.88 163
V4279.38 16778.24 17182.83 17281.10 31865.50 18585.55 21389.82 16371.57 17178.21 15586.12 24360.66 18393.18 17575.64 12975.46 28289.81 211
BH-RMVSNet79.61 15678.44 16483.14 15889.38 13665.93 17584.95 22587.15 23673.56 13978.19 15689.79 13956.67 21393.36 16659.53 26786.74 15090.13 190
v2v48280.23 14679.29 14783.05 16383.62 26664.14 21087.04 16989.97 15973.61 13778.18 15787.22 20961.10 17693.82 14376.11 12476.78 26291.18 153
PVSNet_BlendedMVS80.60 13880.02 12982.36 18788.85 15765.40 18686.16 19792.00 9769.34 21178.11 15886.09 24466.02 11094.27 12071.52 16282.06 20487.39 270
PVSNet_Blended80.98 12480.34 12582.90 17088.85 15765.40 18684.43 24092.00 9767.62 23878.11 15885.05 26666.02 11094.27 12071.52 16289.50 11689.01 231
v114480.03 15079.03 15383.01 16583.78 26464.51 20187.11 16890.57 14271.96 16378.08 16086.20 24261.41 16893.94 13674.93 13577.23 25290.60 173
TranMVSNet+NR-MVSNet80.84 12780.31 12682.42 18587.85 19262.33 24387.74 15291.33 12380.55 1177.99 16189.86 13765.23 11792.62 19267.05 20975.24 29092.30 122
Baseline_NR-MVSNet78.15 19678.33 16977.61 27785.79 23156.21 31886.78 17985.76 25473.60 13877.93 16287.57 19865.02 11988.99 27867.14 20875.33 28687.63 264
TR-MVS77.44 21276.18 21881.20 21288.24 18163.24 23084.61 23486.40 24667.55 23977.81 16386.48 23654.10 22993.15 17657.75 28582.72 19887.20 276
v119279.59 15878.43 16583.07 16283.55 26864.52 20086.93 17390.58 14170.83 18177.78 16485.90 24559.15 19393.94 13673.96 14277.19 25490.76 166
PCF-MVS73.52 780.38 14378.84 15785.01 9187.71 19868.99 11383.65 25491.46 12163.00 29077.77 16590.28 12666.10 10795.09 9361.40 25388.22 13290.94 162
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
WR-MVS79.49 16079.22 15080.27 23388.79 16358.35 28385.06 22288.61 20878.56 3277.65 16688.34 17963.81 13090.66 25464.98 22577.22 25391.80 138
XVG-OURS80.41 14279.23 14983.97 13485.64 23469.02 11183.03 26790.39 14571.09 17877.63 16791.49 10154.62 22691.35 23675.71 12883.47 18791.54 142
v14419279.47 16178.37 16782.78 17883.35 27163.96 21386.96 17190.36 14969.99 19777.50 16885.67 25160.66 18393.77 14774.27 13976.58 26390.62 171
v192192079.22 16978.03 17482.80 17583.30 27363.94 21486.80 17790.33 15069.91 20077.48 16985.53 25458.44 19793.75 14973.60 14476.85 26090.71 169
thisisatest053079.40 16577.76 18484.31 11787.69 20065.10 19487.36 16084.26 27270.04 19677.42 17088.26 18349.94 27394.79 10870.20 17484.70 17293.03 97
FC-MVSNet-test81.52 11682.02 10180.03 23788.42 17755.97 32087.95 14493.42 3377.10 5977.38 17190.98 11869.96 7291.79 22468.46 19584.50 17392.33 119
v124078.99 17677.78 18282.64 18183.21 27563.54 22286.62 18490.30 15269.74 20677.33 17285.68 25057.04 21193.76 14873.13 15376.92 25690.62 171
PAPM_NR83.02 9282.41 9284.82 10092.47 7766.37 16787.93 14691.80 10773.82 13477.32 17390.66 12167.90 9094.90 10270.37 17389.48 11793.19 92
ACMM73.20 880.78 13579.84 13383.58 14189.31 14268.37 13089.99 7991.60 11470.28 19377.25 17489.66 14253.37 23593.53 15974.24 14082.85 19588.85 239
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
HQP4-MVS77.24 17595.11 8991.03 158
AUN-MVS79.21 17077.60 18984.05 12788.71 16767.61 14585.84 20687.26 23469.08 21977.23 17688.14 18953.20 23793.47 16275.50 13373.45 30691.06 156
HQP-NCC89.33 13789.17 9676.41 7577.23 176
ACMP_Plane89.33 13789.17 9676.41 7577.23 176
HQP-MVS82.61 9882.02 10184.37 11389.33 13766.98 15689.17 9692.19 8976.41 7577.23 17690.23 12860.17 19095.11 8977.47 11285.99 16291.03 158
TAPA-MVS73.13 979.15 17177.94 17682.79 17789.59 12662.99 23888.16 13991.51 11765.77 25977.14 18091.09 11160.91 17993.21 17050.26 32287.05 14592.17 128
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPR81.66 11480.89 11783.99 13390.27 10964.00 21286.76 18191.77 11168.84 22777.13 18189.50 14767.63 9294.88 10467.55 20188.52 12893.09 94
UniMVSNet_ETH3D79.10 17378.24 17181.70 19886.85 21860.24 27087.28 16488.79 19874.25 12576.84 18290.53 12449.48 27891.56 23067.98 19782.15 20393.29 86
EPNet83.72 7882.92 8786.14 6984.22 25669.48 10491.05 5585.27 25881.30 776.83 18391.65 9466.09 10895.56 6576.00 12793.85 6693.38 82
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
baseline176.98 22176.75 20977.66 27588.13 18355.66 32385.12 22181.89 30273.04 14976.79 18488.90 16362.43 15187.78 29563.30 23571.18 32289.55 218
tttt051779.40 16577.91 17783.90 13788.10 18563.84 21588.37 13084.05 27471.45 17376.78 18589.12 15949.93 27594.89 10370.18 17583.18 19192.96 102
TAMVS78.89 17977.51 19183.03 16487.80 19467.79 14284.72 22985.05 26167.63 23776.75 18687.70 19462.25 15490.82 25058.53 27887.13 14490.49 177
XVG-OURS-SEG-HR80.81 13079.76 13583.96 13585.60 23568.78 11783.54 25990.50 14370.66 18776.71 18791.66 9360.69 18291.26 23876.94 11981.58 20991.83 135
3Dnovator+77.84 485.48 6184.47 7588.51 691.08 9273.49 1793.18 1193.78 2180.79 1076.66 18893.37 6060.40 18996.75 2577.20 11593.73 6895.29 2
LPG-MVS_test82.08 10381.27 10984.50 10889.23 14668.76 11890.22 7591.94 10175.37 9876.64 18991.51 9954.29 22794.91 10078.44 10283.78 18089.83 209
LGP-MVS_train84.50 10889.23 14668.76 11891.94 10175.37 9876.64 18991.51 9954.29 22794.91 10078.44 10283.78 18089.83 209
tfpn200view976.42 23075.37 22979.55 25089.13 15057.65 29685.17 21883.60 27973.41 14476.45 19186.39 23852.12 24591.95 21948.33 33083.75 18289.07 224
thres40076.50 22775.37 22979.86 24089.13 15057.65 29685.17 21883.60 27973.41 14476.45 19186.39 23852.12 24591.95 21948.33 33083.75 18290.00 200
HyFIR lowres test77.53 21175.40 22783.94 13689.59 12666.62 16180.36 29188.64 20756.29 34276.45 19185.17 26257.64 20393.28 16861.34 25583.10 19391.91 133
mvs-test180.88 12579.40 14385.29 8385.13 24469.75 9989.28 9388.10 21474.99 10676.44 19486.72 22157.27 20894.26 12473.53 14583.18 19191.87 134
CDS-MVSNet79.07 17477.70 18683.17 15787.60 20168.23 13484.40 24286.20 24967.49 24076.36 19586.54 23461.54 16490.79 25161.86 24987.33 14190.49 177
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
thres100view90076.50 22775.55 22379.33 25189.52 12956.99 30485.83 20783.23 28873.94 13176.32 19687.12 21351.89 25291.95 21948.33 33083.75 18289.07 224
thres600view776.50 22775.44 22579.68 24589.40 13457.16 30185.53 21583.23 28873.79 13576.26 19787.09 21451.89 25291.89 22248.05 33583.72 18590.00 200
UGNet80.83 12979.59 13984.54 10788.04 18768.09 13689.42 9188.16 21276.95 6276.22 19889.46 15149.30 28193.94 13668.48 19490.31 10591.60 140
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
test_djsdf80.30 14579.32 14683.27 15183.98 26165.37 18990.50 6590.38 14668.55 23176.19 19988.70 16756.44 21493.46 16378.98 9680.14 22790.97 161
v14878.72 18177.80 18181.47 20382.73 29061.96 24986.30 19388.08 21673.26 14676.18 20085.47 25662.46 15092.36 20371.92 16173.82 30390.09 194
WTY-MVS75.65 24075.68 22175.57 29686.40 22556.82 30677.92 31782.40 29865.10 26676.18 20087.72 19363.13 14280.90 33660.31 26181.96 20589.00 233
mvs_anonymous79.42 16479.11 15280.34 23184.45 25357.97 29082.59 26987.62 22667.40 24176.17 20288.56 17468.47 8689.59 26870.65 17186.05 16093.47 81
Anonymous2023121178.97 17777.69 18782.81 17490.54 10564.29 20890.11 7791.51 11765.01 26976.16 20388.13 19050.56 26693.03 18569.68 18277.56 25091.11 155
bset_n11_16_dypcd77.12 21875.47 22482.06 19081.12 31765.99 17381.37 28383.20 29069.94 19976.09 20483.38 28747.75 29192.26 20878.51 10077.91 24687.95 256
thisisatest051577.33 21575.38 22883.18 15685.27 24063.80 21682.11 27483.27 28765.06 26775.91 20583.84 27949.54 27794.27 12067.24 20686.19 15891.48 146
RRT_test8_iter0578.38 18977.40 19281.34 20886.00 22958.86 27986.55 18791.26 12572.13 16275.91 20587.42 20344.97 31093.73 15177.02 11875.30 28791.45 148
CANet_DTU80.61 13779.87 13282.83 17285.60 23563.17 23487.36 16088.65 20676.37 7975.88 20788.44 17753.51 23493.07 18173.30 15089.74 11592.25 124
thres20075.55 24174.47 23978.82 25887.78 19757.85 29383.07 26683.51 28272.44 15575.84 20884.42 27152.08 24791.75 22547.41 33783.64 18686.86 285
CHOSEN 1792x268877.63 21075.69 22083.44 14489.98 12068.58 12878.70 30987.50 22956.38 34175.80 20986.84 21758.67 19591.40 23561.58 25285.75 16590.34 183
AdaColmapbinary80.58 14079.42 14284.06 12693.09 6168.91 11589.36 9288.97 19469.27 21275.70 21089.69 14157.20 21095.77 6063.06 23788.41 13087.50 269
c3_l78.75 18077.91 17781.26 21082.89 28761.56 25484.09 24989.13 18769.97 19875.56 21184.29 27366.36 10492.09 21573.47 14875.48 28090.12 191
miper_ehance_all_eth78.59 18577.76 18481.08 21682.66 29261.56 25483.65 25489.15 18568.87 22675.55 21283.79 28166.49 10292.03 21673.25 15176.39 26789.64 215
miper_enhance_ethall77.87 20576.86 20380.92 22081.65 30661.38 25682.68 26888.98 19265.52 26375.47 21382.30 29965.76 11492.00 21872.95 15476.39 26789.39 220
3Dnovator76.31 583.38 8682.31 9586.59 6087.94 19072.94 2990.64 6192.14 9177.21 5475.47 21392.83 7358.56 19694.72 11073.24 15292.71 7792.13 129
jajsoiax79.29 16877.96 17583.27 15184.68 25066.57 16489.25 9590.16 15569.20 21675.46 21589.49 14845.75 30793.13 17876.84 12080.80 21790.11 192
IterMVS-LS80.06 14979.38 14482.11 18985.89 23063.20 23286.79 17889.34 17574.19 12675.45 21686.72 22166.62 10092.39 20172.58 15776.86 25990.75 167
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
BH-untuned79.47 16178.60 16082.05 19189.19 14865.91 17686.07 19988.52 20972.18 15975.42 21787.69 19561.15 17593.54 15860.38 26086.83 14986.70 289
mvs_tets79.13 17277.77 18383.22 15584.70 24966.37 16789.17 9690.19 15469.38 21075.40 21889.46 15144.17 31593.15 17676.78 12180.70 21990.14 189
HY-MVS69.67 1277.95 20277.15 19780.36 23087.57 20560.21 27183.37 26187.78 22466.11 25475.37 21987.06 21663.27 13590.48 25661.38 25482.43 20190.40 181
GBi-Net78.40 18777.40 19281.40 20587.60 20163.01 23588.39 12789.28 17771.63 16775.34 22087.28 20554.80 22091.11 24162.72 23879.57 23090.09 194
test178.40 18777.40 19281.40 20587.60 20163.01 23588.39 12789.28 17771.63 16775.34 22087.28 20554.80 22091.11 24162.72 23879.57 23090.09 194
FMVSNet377.88 20476.85 20480.97 21986.84 21962.36 24286.52 18888.77 19971.13 17675.34 22086.66 22854.07 23091.10 24462.72 23879.57 23089.45 219
CostFormer75.24 24673.90 24579.27 25282.65 29358.27 28580.80 28482.73 29661.57 30475.33 22383.13 28955.52 21691.07 24764.98 22578.34 24488.45 250
FMVSNet278.20 19477.21 19681.20 21287.60 20162.89 23987.47 15889.02 19071.63 16775.29 22487.28 20554.80 22091.10 24462.38 24279.38 23489.61 216
v879.97 15279.02 15482.80 17584.09 25864.50 20387.96 14390.29 15374.13 12975.24 22586.81 21862.88 14493.89 14274.39 13875.40 28490.00 200
anonymousdsp78.60 18477.15 19782.98 16780.51 32467.08 15487.24 16589.53 17165.66 26175.16 22687.19 21152.52 23892.25 20977.17 11679.34 23589.61 216
QAPM80.88 12579.50 14185.03 9088.01 18968.97 11491.59 4392.00 9766.63 25075.15 22792.16 8457.70 20295.45 7263.52 23188.76 12490.66 170
v1079.74 15578.67 15882.97 16884.06 25964.95 19587.88 14990.62 14073.11 14775.11 22886.56 23361.46 16794.05 13273.68 14375.55 27889.90 206
Vis-MVSNet (Re-imp)78.36 19078.45 16378.07 27088.64 16951.78 34586.70 18279.63 32574.14 12875.11 22890.83 11961.29 17289.75 26558.10 28291.60 9092.69 109
cl2278.07 19877.01 19981.23 21182.37 29961.83 25183.55 25887.98 21868.96 22475.06 23083.87 27761.40 16991.88 22373.53 14576.39 26789.98 203
ACMP74.13 681.51 11880.57 12084.36 11489.42 13368.69 12589.97 8091.50 12074.46 12075.04 23190.41 12553.82 23294.54 11277.56 11182.91 19489.86 208
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Effi-MVS+-dtu80.03 15078.57 16184.42 11185.13 24468.74 12088.77 11288.10 21474.99 10674.97 23283.49 28557.27 20893.36 16673.53 14580.88 21591.18 153
XXY-MVS75.41 24475.56 22274.96 30283.59 26757.82 29480.59 28983.87 27766.54 25174.93 23388.31 18063.24 13680.09 33962.16 24576.85 26086.97 283
eth_miper_zixun_eth77.92 20376.69 21081.61 20183.00 28361.98 24883.15 26389.20 18369.52 20874.86 23484.35 27261.76 16092.56 19571.50 16472.89 31190.28 185
GA-MVS76.87 22375.17 23281.97 19482.75 28962.58 24081.44 28286.35 24872.16 16174.74 23582.89 29146.20 30292.02 21768.85 19181.09 21391.30 151
sss73.60 25873.64 24873.51 31382.80 28855.01 32576.12 32381.69 30562.47 29874.68 23685.85 24857.32 20778.11 34660.86 25880.93 21487.39 270
BH-w/o78.21 19377.33 19580.84 22188.81 16165.13 19384.87 22687.85 22369.75 20474.52 23784.74 26961.34 17093.11 17958.24 28185.84 16484.27 319
FMVSNet177.44 21276.12 21981.40 20586.81 22063.01 23588.39 12789.28 17770.49 19074.39 23887.28 20549.06 28491.11 24160.91 25778.52 24090.09 194
cl____77.72 20776.76 20780.58 22682.49 29660.48 26783.09 26487.87 22169.22 21474.38 23985.22 26162.10 15791.53 23171.09 16675.41 28389.73 214
DIV-MVS_self_test77.72 20776.76 20780.58 22682.48 29760.48 26783.09 26487.86 22269.22 21474.38 23985.24 26062.10 15791.53 23171.09 16675.40 28489.74 213
114514_t80.68 13679.51 14084.20 12094.09 4167.27 15289.64 8991.11 13158.75 32774.08 24190.72 12058.10 19895.04 9469.70 18189.42 11890.30 184
WR-MVS_H78.51 18678.49 16278.56 26288.02 18856.38 31588.43 12392.67 6777.14 5773.89 24287.55 19966.25 10689.24 27458.92 27373.55 30590.06 198
tpm273.26 26371.46 26578.63 26083.34 27256.71 30980.65 28880.40 31856.63 34073.55 24382.02 30451.80 25491.24 23956.35 29678.42 24387.95 256
CP-MVSNet78.22 19278.34 16877.84 27287.83 19354.54 32887.94 14591.17 12977.65 4073.48 24488.49 17562.24 15588.43 28762.19 24474.07 29890.55 175
pm-mvs177.25 21776.68 21178.93 25784.22 25658.62 28286.41 18988.36 21171.37 17473.31 24588.01 19161.22 17489.15 27664.24 22973.01 31089.03 230
PS-CasMVS78.01 20178.09 17377.77 27487.71 19854.39 33088.02 14191.22 12677.50 4873.26 24688.64 17060.73 18088.41 28861.88 24873.88 30290.53 176
CVMVSNet72.99 26772.58 25674.25 30984.28 25450.85 35186.41 18983.45 28544.56 35773.23 24787.54 20049.38 27985.70 30865.90 21778.44 24286.19 296
PEN-MVS77.73 20677.69 18777.84 27287.07 21653.91 33387.91 14791.18 12877.56 4573.14 24888.82 16661.23 17389.17 27559.95 26372.37 31390.43 179
1112_ss77.40 21476.43 21580.32 23289.11 15460.41 26983.65 25487.72 22562.13 30173.05 24986.72 22162.58 14889.97 26262.11 24780.80 21790.59 174
tpm72.37 27371.71 26474.35 30882.19 30152.00 34379.22 30377.29 33764.56 27372.95 25083.68 28451.35 25783.26 32758.33 28075.80 27487.81 261
cascas76.72 22574.64 23582.99 16685.78 23265.88 17782.33 27289.21 18260.85 30972.74 25181.02 31047.28 29493.75 14967.48 20285.02 16789.34 221
CR-MVSNet73.37 26071.27 26979.67 24681.32 31565.19 19175.92 32580.30 31959.92 31672.73 25281.19 30752.50 23986.69 30159.84 26477.71 24787.11 281
RPMNet73.51 25970.49 27582.58 18381.32 31565.19 19175.92 32592.27 8357.60 33472.73 25276.45 34452.30 24295.43 7448.14 33477.71 24787.11 281
DTE-MVSNet76.99 22076.80 20577.54 27986.24 22653.06 34187.52 15690.66 13977.08 6072.50 25488.67 16960.48 18689.52 26957.33 28970.74 32490.05 199
Test_1112_low_res76.40 23175.44 22579.27 25289.28 14458.09 28681.69 27887.07 23759.53 32072.48 25586.67 22761.30 17189.33 27260.81 25980.15 22690.41 180
v7n78.97 17777.58 19083.14 15883.45 27065.51 18488.32 13191.21 12773.69 13672.41 25686.32 24057.93 19993.81 14469.18 18675.65 27690.11 192
SCA74.22 25272.33 25979.91 23984.05 26062.17 24679.96 29679.29 32766.30 25372.38 25780.13 31951.95 25088.60 28559.25 26977.67 24988.96 235
CNLPA78.08 19776.79 20681.97 19490.40 10871.07 6987.59 15584.55 26666.03 25772.38 25789.64 14357.56 20486.04 30659.61 26683.35 18888.79 242
NR-MVSNet80.23 14679.38 14482.78 17887.80 19463.34 22886.31 19291.09 13279.01 2972.17 25989.07 16067.20 9792.81 19166.08 21675.65 27692.20 126
OpenMVScopyleft72.83 1079.77 15478.33 16984.09 12485.17 24169.91 9490.57 6390.97 13366.70 24672.17 25991.91 8854.70 22493.96 13361.81 25090.95 9988.41 252
MVS78.19 19576.99 20181.78 19685.66 23366.99 15584.66 23090.47 14455.08 34672.02 26185.27 25963.83 12994.11 13166.10 21589.80 11484.24 320
XVG-ACMP-BASELINE76.11 23574.27 24281.62 19983.20 27664.67 19983.60 25789.75 16669.75 20471.85 26287.09 21432.78 35592.11 21469.99 17880.43 22388.09 255
PatchmatchNetpermissive73.12 26571.33 26878.49 26583.18 27760.85 26179.63 29878.57 32964.13 27871.73 26379.81 32451.20 25985.97 30757.40 28876.36 27088.66 245
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmrst72.39 27172.13 26073.18 31780.54 32349.91 35479.91 29779.08 32863.11 28871.69 26479.95 32155.32 21782.77 32965.66 22073.89 30186.87 284
TransMVSNet (Re)75.39 24574.56 23777.86 27185.50 23757.10 30386.78 17986.09 25272.17 16071.53 26587.34 20463.01 14389.31 27356.84 29361.83 34787.17 277
Fast-Effi-MVS+-dtu78.02 20076.49 21382.62 18283.16 27966.96 15986.94 17287.45 23172.45 15371.49 26684.17 27454.79 22391.58 22967.61 20080.31 22489.30 222
PAPM77.68 20976.40 21681.51 20287.29 21261.85 25083.78 25289.59 17064.74 27171.23 26788.70 16762.59 14793.66 15352.66 30987.03 14689.01 231
tfpnnormal74.39 24973.16 25278.08 26986.10 22858.05 28784.65 23387.53 22870.32 19271.22 26885.63 25254.97 21989.86 26343.03 35175.02 29186.32 293
RPSCF73.23 26471.46 26578.54 26382.50 29559.85 27282.18 27382.84 29558.96 32471.15 26989.41 15545.48 30984.77 31658.82 27571.83 31891.02 160
DWT-MVSNet_test73.70 25771.86 26279.21 25482.91 28658.94 27882.34 27182.17 29965.21 26471.05 27078.31 33344.21 31490.17 26063.29 23677.28 25188.53 249
PatchT68.46 30167.85 29570.29 32980.70 32143.93 36472.47 33874.88 34560.15 31470.55 27176.57 34349.94 27381.59 33250.58 31674.83 29385.34 307
CL-MVSNet_self_test72.37 27371.46 26575.09 30179.49 33753.53 33580.76 28685.01 26269.12 21870.51 27282.05 30357.92 20084.13 31952.27 31066.00 33987.60 265
IterMVS-SCA-FT75.43 24373.87 24680.11 23682.69 29164.85 19681.57 28083.47 28469.16 21770.49 27384.15 27551.95 25088.15 29069.23 18572.14 31687.34 272
miper_lstm_enhance74.11 25373.11 25377.13 28580.11 32759.62 27472.23 33986.92 24066.76 24570.40 27482.92 29056.93 21282.92 32869.06 18872.63 31288.87 238
gg-mvs-nofinetune69.95 29067.96 29375.94 29283.07 28054.51 32977.23 32070.29 35563.11 28870.32 27562.33 35843.62 31788.69 28453.88 30487.76 13484.62 318
DP-MVS76.78 22474.57 23683.42 14593.29 5469.46 10788.55 12283.70 27863.98 28370.20 27688.89 16454.01 23194.80 10746.66 33981.88 20786.01 301
pmmvs674.69 24873.39 24978.61 26181.38 31257.48 29986.64 18387.95 21964.99 27070.18 27786.61 22950.43 26889.52 26962.12 24670.18 32688.83 240
PVSNet64.34 1872.08 27570.87 27475.69 29486.21 22756.44 31374.37 33580.73 31262.06 30270.17 27882.23 30142.86 32183.31 32654.77 30184.45 17587.32 273
131476.53 22675.30 23180.21 23483.93 26262.32 24484.66 23088.81 19760.23 31370.16 27984.07 27655.30 21890.73 25367.37 20383.21 19087.59 267
Patchmtry70.74 28169.16 28375.49 29880.72 32054.07 33274.94 33480.30 31958.34 32870.01 28081.19 30752.50 23986.54 30253.37 30671.09 32385.87 304
EPMVS69.02 29568.16 29071.59 32179.61 33549.80 35677.40 31966.93 36362.82 29470.01 28079.05 32645.79 30577.86 34856.58 29475.26 28987.13 280
IterMVS74.29 25072.94 25478.35 26681.53 30963.49 22481.58 27982.49 29768.06 23669.99 28283.69 28351.66 25685.54 30965.85 21871.64 31986.01 301
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test-LLR72.94 26872.43 25774.48 30681.35 31358.04 28878.38 31077.46 33466.66 24769.95 28379.00 32848.06 28979.24 34066.13 21384.83 16986.15 297
test-mter71.41 27770.39 27874.48 30681.35 31358.04 28878.38 31077.46 33460.32 31269.95 28379.00 32836.08 34979.24 34066.13 21384.83 16986.15 297
pmmvs474.03 25571.91 26180.39 22981.96 30368.32 13181.45 28182.14 30059.32 32169.87 28585.13 26352.40 24188.13 29160.21 26274.74 29484.73 316
PLCcopyleft70.83 1178.05 19976.37 21783.08 16191.88 8567.80 14188.19 13789.46 17364.33 27769.87 28588.38 17853.66 23393.58 15458.86 27482.73 19787.86 260
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
LTVRE_ROB69.57 1376.25 23374.54 23881.41 20488.60 17064.38 20779.24 30289.12 18870.76 18569.79 28787.86 19249.09 28393.20 17256.21 29780.16 22586.65 290
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
LS3D76.95 22274.82 23483.37 14890.45 10667.36 15189.15 10086.94 23961.87 30369.52 28890.61 12251.71 25594.53 11346.38 34286.71 15188.21 254
IB-MVS68.01 1575.85 23873.36 25083.31 14984.76 24866.03 17183.38 26085.06 26070.21 19569.40 28981.05 30945.76 30694.66 11165.10 22475.49 27989.25 223
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
PatchMatch-RL72.38 27270.90 27276.80 28888.60 17067.38 15079.53 29976.17 34262.75 29569.36 29082.00 30545.51 30884.89 31553.62 30580.58 22078.12 352
MDTV_nov1_ep1369.97 28083.18 27753.48 33677.10 32180.18 32260.45 31069.33 29180.44 31648.89 28786.90 30051.60 31378.51 241
D2MVS74.82 24773.21 25179.64 24779.81 33162.56 24180.34 29287.35 23264.37 27668.86 29282.66 29546.37 29990.10 26167.91 19881.24 21286.25 294
PMMVS69.34 29368.67 28571.35 32575.67 35162.03 24775.17 32973.46 35050.00 35568.68 29379.05 32652.07 24878.13 34561.16 25682.77 19673.90 356
Patchmatch-RL test70.24 28767.78 29877.61 27777.43 34559.57 27671.16 34170.33 35462.94 29268.65 29472.77 35250.62 26585.49 31069.58 18366.58 33787.77 262
MS-PatchMatch73.83 25672.67 25577.30 28283.87 26366.02 17281.82 27584.66 26461.37 30768.61 29582.82 29347.29 29388.21 28959.27 26884.32 17677.68 353
tpm cat170.57 28368.31 28877.35 28182.41 29857.95 29178.08 31480.22 32152.04 35268.54 29677.66 33952.00 24987.84 29451.77 31172.07 31786.25 294
TESTMET0.1,169.89 29169.00 28472.55 31879.27 34056.85 30578.38 31074.71 34857.64 33368.09 29777.19 34137.75 34476.70 35163.92 23084.09 17884.10 323
MIMVSNet70.69 28269.30 28174.88 30384.52 25156.35 31675.87 32779.42 32664.59 27267.76 29882.41 29741.10 33181.54 33346.64 34181.34 21086.75 288
ACMH+68.96 1476.01 23674.01 24382.03 19288.60 17065.31 19088.86 10887.55 22770.25 19467.75 29987.47 20241.27 33093.19 17458.37 27975.94 27387.60 265
LCM-MVSNet-Re77.05 21976.94 20277.36 28087.20 21351.60 34680.06 29480.46 31775.20 10267.69 30086.72 22162.48 14988.98 27963.44 23389.25 11991.51 143
ITE_SJBPF78.22 26781.77 30560.57 26583.30 28669.25 21367.54 30187.20 21036.33 34887.28 29954.34 30274.62 29586.80 286
pmmvs571.55 27670.20 27975.61 29577.83 34356.39 31481.74 27780.89 30957.76 33267.46 30284.49 27049.26 28285.32 31257.08 29175.29 28885.11 312
MVP-Stereo76.12 23474.46 24081.13 21585.37 23969.79 9784.42 24187.95 21965.03 26867.46 30285.33 25853.28 23691.73 22758.01 28383.27 18981.85 339
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
test_040272.79 26970.44 27679.84 24188.13 18365.99 17385.93 20284.29 27065.57 26267.40 30485.49 25546.92 29692.61 19335.88 36074.38 29780.94 344
GG-mvs-BLEND75.38 29981.59 30855.80 32179.32 30169.63 35767.19 30573.67 35143.24 31888.90 28350.41 31784.50 17381.45 341
tpmvs71.09 27969.29 28276.49 28982.04 30256.04 31978.92 30781.37 30864.05 28167.18 30678.28 33449.74 27689.77 26449.67 32572.37 31383.67 325
OurMVSNet-221017-074.26 25172.42 25879.80 24283.76 26559.59 27585.92 20386.64 24266.39 25266.96 30787.58 19739.46 33691.60 22865.76 21969.27 32888.22 253
baseline275.70 23973.83 24781.30 20983.26 27461.79 25282.57 27080.65 31366.81 24366.88 30883.42 28657.86 20192.19 21163.47 23279.57 23089.91 205
MVS_030472.48 27070.89 27377.24 28382.20 30059.68 27384.11 24883.49 28367.10 24266.87 30980.59 31535.00 35287.40 29759.07 27279.58 22984.63 317
F-COLMAP76.38 23274.33 24182.50 18489.28 14466.95 16088.41 12689.03 18964.05 28166.83 31088.61 17146.78 29792.89 18757.48 28678.55 23987.67 263
ACMH67.68 1675.89 23773.93 24481.77 19788.71 16766.61 16288.62 11989.01 19169.81 20166.78 31186.70 22641.95 32991.51 23355.64 29878.14 24587.17 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test0.0.03 168.00 30267.69 29968.90 33477.55 34447.43 35875.70 32872.95 35266.66 24766.56 31282.29 30048.06 28975.87 35544.97 34874.51 29683.41 327
MDTV_nov1_ep13_2view37.79 36975.16 33055.10 34566.53 31349.34 28053.98 30387.94 258
KD-MVS_2432*160066.22 31363.89 31473.21 31475.47 35453.42 33770.76 34484.35 26864.10 27966.52 31478.52 33134.55 35384.98 31350.40 31850.33 36281.23 342
miper_refine_blended66.22 31363.89 31473.21 31475.47 35453.42 33770.76 34484.35 26864.10 27966.52 31478.52 33134.55 35384.98 31350.40 31850.33 36281.23 342
ET-MVSNet_ETH3D78.63 18376.63 21284.64 10586.73 22269.47 10585.01 22384.61 26569.54 20766.51 31686.59 23050.16 27091.75 22576.26 12384.24 17792.69 109
EU-MVSNet68.53 30067.61 30071.31 32678.51 34247.01 36084.47 23684.27 27142.27 35866.44 31784.79 26840.44 33483.76 32158.76 27668.54 33383.17 329
EPNet_dtu75.46 24274.86 23377.23 28482.57 29454.60 32786.89 17483.09 29271.64 16666.25 31885.86 24755.99 21588.04 29254.92 30086.55 15389.05 229
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Anonymous2023120668.60 29867.80 29771.02 32780.23 32650.75 35278.30 31380.47 31656.79 33966.11 31982.63 29646.35 30078.95 34243.62 35075.70 27583.36 328
SixPastTwentyTwo73.37 26071.26 27079.70 24485.08 24657.89 29285.57 20983.56 28171.03 17965.66 32085.88 24642.10 32792.57 19459.11 27163.34 34588.65 246
MSDG73.36 26270.99 27180.49 22884.51 25265.80 17980.71 28786.13 25165.70 26065.46 32183.74 28244.60 31190.91 24951.13 31576.89 25884.74 315
OpenMVS_ROBcopyleft64.09 1970.56 28468.19 28977.65 27680.26 32559.41 27785.01 22382.96 29458.76 32665.43 32282.33 29837.63 34591.23 24045.34 34776.03 27282.32 336
ppachtmachnet_test70.04 28967.34 30278.14 26879.80 33261.13 25779.19 30480.59 31459.16 32365.27 32379.29 32546.75 29887.29 29849.33 32666.72 33586.00 303
ADS-MVSNet266.20 31563.33 31774.82 30479.92 32958.75 28167.55 35475.19 34453.37 34965.25 32475.86 34542.32 32480.53 33841.57 35468.91 33085.18 309
ADS-MVSNet64.36 31962.88 32168.78 33679.92 32947.17 35967.55 35471.18 35353.37 34965.25 32475.86 34542.32 32473.99 36241.57 35468.91 33085.18 309
testgi66.67 30966.53 30767.08 34075.62 35241.69 36775.93 32476.50 34166.11 25465.20 32686.59 23035.72 35074.71 35943.71 34973.38 30884.84 314
PM-MVS66.41 31164.14 31373.20 31673.92 35856.45 31278.97 30664.96 36763.88 28564.72 32780.24 31819.84 36783.44 32566.24 21264.52 34379.71 349
JIA-IIPM66.32 31262.82 32276.82 28777.09 34761.72 25365.34 35775.38 34358.04 33164.51 32862.32 35942.05 32886.51 30351.45 31469.22 32982.21 337
ambc75.24 30073.16 36250.51 35363.05 36187.47 23064.28 32977.81 33817.80 36889.73 26657.88 28460.64 35085.49 305
EG-PatchMatch MVS74.04 25471.82 26380.71 22484.92 24767.42 14885.86 20588.08 21666.04 25664.22 33083.85 27835.10 35192.56 19557.44 28780.83 21682.16 338
dp66.80 30765.43 30970.90 32879.74 33448.82 35775.12 33274.77 34659.61 31864.08 33177.23 34042.89 32080.72 33748.86 32866.58 33783.16 330
KD-MVS_self_test68.81 29667.59 30172.46 31974.29 35745.45 36177.93 31687.00 23863.12 28763.99 33278.99 33042.32 32484.77 31656.55 29564.09 34487.16 279
pmmvs-eth3d70.50 28567.83 29678.52 26477.37 34666.18 17081.82 27581.51 30658.90 32563.90 33380.42 31742.69 32286.28 30558.56 27765.30 34183.11 331
COLMAP_ROBcopyleft66.92 1773.01 26670.41 27780.81 22287.13 21565.63 18288.30 13284.19 27362.96 29163.80 33487.69 19538.04 34392.56 19546.66 33974.91 29284.24 320
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
FMVSNet569.50 29267.96 29374.15 31082.97 28555.35 32480.01 29582.12 30162.56 29763.02 33581.53 30636.92 34681.92 33148.42 32974.06 29985.17 311
test20.0367.45 30466.95 30568.94 33375.48 35344.84 36377.50 31877.67 33366.66 24763.01 33683.80 28047.02 29578.40 34442.53 35368.86 33283.58 326
K. test v371.19 27868.51 28679.21 25483.04 28257.78 29584.35 24376.91 34072.90 15262.99 33782.86 29239.27 33791.09 24661.65 25152.66 35988.75 243
our_test_369.14 29467.00 30475.57 29679.80 33258.80 28077.96 31577.81 33259.55 31962.90 33878.25 33547.43 29283.97 32051.71 31267.58 33483.93 324
CHOSEN 280x42066.51 31064.71 31171.90 32081.45 31063.52 22357.98 36268.95 36153.57 34862.59 33976.70 34246.22 30175.29 35855.25 29979.68 22876.88 355
Anonymous2024052168.80 29767.22 30373.55 31274.33 35654.11 33183.18 26285.61 25558.15 32961.68 34080.94 31230.71 35981.27 33557.00 29273.34 30985.28 308
USDC70.33 28668.37 28776.21 29180.60 32256.23 31779.19 30486.49 24460.89 30861.29 34185.47 25631.78 35889.47 27153.37 30676.21 27182.94 335
lessismore_v078.97 25681.01 31957.15 30265.99 36461.16 34282.82 29339.12 33891.34 23759.67 26546.92 36488.43 251
UnsupCasMVSNet_eth67.33 30565.99 30871.37 32373.48 36051.47 34875.16 33085.19 25965.20 26560.78 34380.93 31442.35 32377.20 35057.12 29053.69 35885.44 306
AllTest70.96 28068.09 29279.58 24885.15 24263.62 21884.58 23579.83 32362.31 29960.32 34486.73 21932.02 35688.96 28150.28 32071.57 32086.15 297
TestCases79.58 24885.15 24263.62 21879.83 32362.31 29960.32 34486.73 21932.02 35688.96 28150.28 32071.57 32086.15 297
Patchmatch-test64.82 31863.24 31869.57 33179.42 33849.82 35563.49 36069.05 36051.98 35359.95 34680.13 31950.91 26170.98 36440.66 35673.57 30487.90 259
MIMVSNet168.58 29966.78 30673.98 31180.07 32851.82 34480.77 28584.37 26764.40 27559.75 34782.16 30236.47 34783.63 32342.73 35270.33 32586.48 292
LF4IMVS64.02 32062.19 32369.50 33270.90 36553.29 34076.13 32277.18 33852.65 35158.59 34880.98 31123.55 36476.52 35253.06 30866.66 33678.68 351
PVSNet_057.27 2061.67 32359.27 32668.85 33579.61 33557.44 30068.01 35373.44 35155.93 34358.54 34970.41 35544.58 31277.55 34947.01 33835.91 36571.55 358
TDRefinement67.49 30364.34 31276.92 28673.47 36161.07 25884.86 22782.98 29359.77 31758.30 35085.13 26326.06 36187.89 29347.92 33660.59 35181.81 340
UnsupCasMVSNet_bld63.70 32161.53 32570.21 33073.69 35951.39 34972.82 33781.89 30255.63 34457.81 35171.80 35438.67 33978.61 34349.26 32752.21 36080.63 345
DSMNet-mixed57.77 32656.90 32860.38 34467.70 36735.61 37069.18 34953.97 37232.30 36757.49 35279.88 32240.39 33568.57 36638.78 35872.37 31376.97 354
N_pmnet52.79 32953.26 33051.40 34978.99 3417.68 38069.52 3473.89 38051.63 35457.01 35374.98 34940.83 33365.96 36737.78 35964.67 34280.56 347
new-patchmatchnet61.73 32261.73 32461.70 34372.74 36424.50 37769.16 35078.03 33161.40 30556.72 35475.53 34838.42 34076.48 35345.95 34457.67 35384.13 322
CMPMVSbinary51.72 2170.19 28868.16 29076.28 29073.15 36357.55 29879.47 30083.92 27548.02 35656.48 35584.81 26743.13 31986.42 30462.67 24181.81 20884.89 313
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
TinyColmap67.30 30664.81 31074.76 30581.92 30456.68 31080.29 29381.49 30760.33 31156.27 35683.22 28824.77 36287.66 29645.52 34569.47 32779.95 348
YYNet165.03 31662.91 32071.38 32275.85 35056.60 31169.12 35174.66 34957.28 33754.12 35777.87 33745.85 30474.48 36049.95 32361.52 34983.05 332
MDA-MVSNet_test_wron65.03 31662.92 31971.37 32375.93 34956.73 30769.09 35274.73 34757.28 33754.03 35877.89 33645.88 30374.39 36149.89 32461.55 34882.99 334
pmmvs357.79 32554.26 32968.37 33764.02 36956.72 30875.12 33265.17 36540.20 36052.93 35969.86 35620.36 36675.48 35745.45 34655.25 35772.90 357
MVS-HIRNet59.14 32457.67 32763.57 34281.65 30643.50 36571.73 34065.06 36639.59 36251.43 36057.73 36238.34 34182.58 33039.53 35773.95 30064.62 361
MDA-MVSNet-bldmvs66.68 30863.66 31675.75 29379.28 33960.56 26673.92 33678.35 33064.43 27450.13 36179.87 32344.02 31683.67 32246.10 34356.86 35483.03 333
new_pmnet50.91 33150.29 33252.78 34868.58 36634.94 37263.71 35956.63 37139.73 36144.95 36265.47 35721.93 36558.48 36834.98 36156.62 35564.92 360
FPMVS53.68 32851.64 33159.81 34565.08 36851.03 35069.48 34869.58 35841.46 35940.67 36372.32 35316.46 37070.00 36524.24 36765.42 34058.40 364
LCM-MVSNet54.25 32749.68 33367.97 33853.73 37245.28 36266.85 35680.78 31135.96 36439.45 36462.23 3608.70 37678.06 34748.24 33351.20 36180.57 346
PMMVS240.82 33538.86 33846.69 35053.84 37116.45 37848.61 36549.92 37337.49 36331.67 36560.97 3618.14 37756.42 36928.42 36430.72 36767.19 359
ANet_high50.57 33246.10 33563.99 34148.67 37539.13 36870.99 34380.85 31061.39 30631.18 36657.70 36317.02 36973.65 36331.22 36215.89 37279.18 350
Gipumacopyleft45.18 33341.86 33655.16 34777.03 34851.52 34732.50 36880.52 31532.46 36627.12 36735.02 3689.52 37575.50 35622.31 36860.21 35238.45 367
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 33440.28 33755.82 34640.82 37742.54 36665.12 35863.99 36834.43 36524.48 36857.12 3643.92 37876.17 35417.10 37055.52 35648.75 365
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepMVS_CXcopyleft27.40 35540.17 37826.90 37524.59 37917.44 37123.95 36948.61 3669.77 37426.48 37418.06 36924.47 36828.83 368
tmp_tt18.61 34121.40 34410.23 3574.82 38010.11 37934.70 36730.74 3781.48 37423.91 37026.07 37128.42 36013.41 37627.12 36515.35 3737.17 371
test_method31.52 33729.28 34138.23 35227.03 3796.50 38120.94 37062.21 3704.05 37322.35 37152.50 36513.33 37147.58 37227.04 36634.04 36660.62 362
MVEpermissive26.22 2330.37 33925.89 34343.81 35144.55 37635.46 37128.87 36939.07 37618.20 37018.58 37240.18 3672.68 37947.37 37317.07 37123.78 36948.60 366
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN31.77 33630.64 33935.15 35352.87 37327.67 37457.09 36347.86 37424.64 36816.40 37333.05 36911.23 37354.90 37014.46 37218.15 37022.87 369
EMVS30.81 33829.65 34034.27 35450.96 37425.95 37656.58 36446.80 37524.01 36915.53 37430.68 37012.47 37254.43 37112.81 37317.05 37122.43 370
wuyk23d16.82 34215.94 34519.46 35658.74 37031.45 37339.22 3663.74 3816.84 3726.04 3752.70 3751.27 38024.29 37510.54 37414.40 3742.63 372
EGC-MVSNET52.07 33047.05 33467.14 33983.51 26960.71 26380.50 29067.75 3620.07 3750.43 37675.85 34724.26 36381.54 33328.82 36362.25 34659.16 363
testmvs6.04 3458.02 3480.10 3590.08 3810.03 38369.74 3460.04 3820.05 3760.31 3771.68 3760.02 3820.04 3770.24 3750.02 3750.25 374
test1236.12 3448.11 3470.14 3580.06 3820.09 38271.05 3420.03 3830.04 3770.25 3781.30 3770.05 3810.03 3780.21 3760.01 3760.29 373
test_blank0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
uanet_test0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
cdsmvs_eth3d_5k19.96 34026.61 3420.00 3600.00 3830.00 3840.00 37189.26 1800.00 3780.00 37988.61 17161.62 1630.00 3790.00 3770.00 3770.00 375
pcd_1.5k_mvsjas5.26 3467.02 3490.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 37863.15 1390.00 3790.00 3770.00 3770.00 375
sosnet-low-res0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
sosnet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
uncertanet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
Regformer0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
ab-mvs-re7.23 3439.64 3460.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 37986.72 2210.00 3830.00 3790.00 3770.00 3770.00 375
uanet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 31
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 31
eth-test20.00 383
eth-test0.00 383
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5596.48 894.88 11
save fliter93.80 4472.35 4590.47 6791.17 12974.31 122
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 41
GSMVS88.96 235
sam_mvs151.32 25888.96 235
sam_mvs50.01 271
MTGPAbinary92.02 94
test_post178.90 3085.43 37448.81 28885.44 31159.25 269
test_post5.46 37350.36 26984.24 318
patchmatchnet-post74.00 35051.12 26088.60 285
MTMP92.18 3432.83 377
gm-plane-assit81.40 31153.83 33462.72 29680.94 31292.39 20163.40 234
test9_res84.90 3395.70 3192.87 104
agg_prior282.91 6595.45 3392.70 107
test_prior472.60 3589.01 103
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7093.91 54
新几何286.29 194
旧先验191.96 8265.79 18086.37 24793.08 6969.31 8092.74 7688.74 244
无先验87.48 15788.98 19260.00 31594.12 12967.28 20488.97 234
原ACMM286.86 175
testdata291.01 24862.37 243
segment_acmp73.08 44
testdata184.14 24775.71 90
plane_prior790.08 11468.51 129
plane_prior689.84 12368.70 12460.42 187
plane_prior592.44 7595.38 7978.71 9886.32 15691.33 149
plane_prior491.00 116
plane_prior291.25 5079.12 26
plane_prior189.90 122
plane_prior68.71 12290.38 7177.62 4186.16 159
n20.00 384
nn0.00 384
door-mid69.98 356
test1192.23 86
door69.44 359
HQP5-MVS66.98 156
BP-MVS77.47 112
HQP3-MVS92.19 8985.99 162
HQP2-MVS60.17 190
NP-MVS89.62 12568.32 13190.24 127
ACMMP++_ref81.95 206
ACMMP++81.25 211
Test By Simon64.33 124