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 bysort bysort bysorted 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
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
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5596.48 894.88 11
PC_three_145268.21 23592.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 7
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
test_0728_THIRD78.38 3592.12 995.78 481.46 797.40 789.42 496.57 794.67 23
test_241102_TWO94.06 1277.24 5292.78 495.72 881.26 897.44 589.07 996.58 694.26 40
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
test072695.27 571.25 6393.60 694.11 877.33 5092.81 395.79 380.98 9
test_one_060195.07 771.46 6194.14 778.27 3792.05 1195.74 680.83 11
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
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
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
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
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
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
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
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
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
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
9.1488.26 1592.84 6891.52 4694.75 173.93 13288.57 2494.67 1975.57 2395.79 5986.77 2395.76 28
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
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
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
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
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
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-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
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
test_893.13 5872.57 3688.68 11891.84 10668.69 22984.87 6193.10 6574.43 3195.16 87
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
TEST993.26 5672.96 2688.75 11391.89 10368.44 23385.00 5593.10 6574.36 3495.41 76
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
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
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
ZD-MVS94.38 2772.22 4892.67 6770.98 18087.75 3194.07 4574.01 3996.70 2684.66 3994.84 48
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.
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
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
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
segment_acmp73.08 44
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
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
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
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
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
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
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.
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
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
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
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
test1286.80 5592.63 7370.70 8191.79 10882.71 9871.67 5696.16 4794.50 5693.54 79
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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
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 (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
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
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
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
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
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
旧先验191.96 8265.79 18086.37 24793.08 6969.31 8092.74 7688.74 244
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Test By Simon64.33 124
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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).
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
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
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
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
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
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_prior689.84 12368.70 12460.42 187
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
HQP2-MVS60.17 190
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
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
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
test22291.50 8868.26 13384.16 24683.20 29054.63 34779.74 13091.63 9658.97 19491.42 9386.77 287
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
sam_mvs151.32 25888.96 235
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.
patchmatchnet-post74.00 35051.12 26088.60 285
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
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
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
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
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
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
test_post5.46 37350.36 26984.24 318
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
sam_mvs50.01 271
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
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
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
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
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
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
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
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
MDTV_nov1_ep13_2view37.79 36975.16 33055.10 34566.53 31349.34 28053.98 30387.94 258
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
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
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
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
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
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
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
test_post178.90 3085.43 37448.81 28885.44 31159.25 269
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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)
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
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
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
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
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
FOURS195.00 1072.39 4295.06 193.84 1874.49 11891.30 15
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
IU-MVS95.30 271.25 6392.95 5666.81 24392.39 688.94 1196.63 494.85 16
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
test_part295.06 872.65 3391.80 13
MTGPAbinary92.02 94
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
agg_prior92.85 6671.94 5491.78 10984.41 7294.93 98
test_prior472.60 3589.01 103
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7093.91 54
旧先验286.56 18658.10 33087.04 3588.98 27974.07 141
新几何286.29 194
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
testdata184.14 24775.71 90
plane_prior790.08 11468.51 129
plane_prior592.44 7595.38 7978.71 9886.32 15691.33 149
plane_prior491.00 116
plane_prior368.60 12778.44 3378.92 140
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
HQP-NCC89.33 13789.17 9676.41 7577.23 176
ACMP_Plane89.33 13789.17 9676.41 7577.23 176
BP-MVS77.47 112
HQP4-MVS77.24 17595.11 8991.03 158
HQP3-MVS92.19 8985.99 162
NP-MVS89.62 12568.32 13190.24 127
ACMMP++_ref81.95 206
ACMMP++81.25 211