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 bysort bysort bysort bysorted bysort by
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2293.63 2374.77 11292.29 795.97 274.28 3497.24 1188.58 1396.91 194.87 11
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
DVP-MVS++90.23 191.01 187.89 2494.34 2971.25 6395.06 194.23 578.38 3392.78 495.74 682.45 397.49 389.42 496.68 294.95 5
PC_three_145268.21 23492.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 5
SED-MVS90.08 290.85 287.77 2695.30 270.98 7093.57 794.06 1277.24 5193.10 195.72 882.99 197.44 589.07 996.63 494.88 9
IU-MVS95.30 271.25 6392.95 5666.81 24292.39 688.94 1196.63 494.85 14
test_241102_TWO94.06 1277.24 5192.78 495.72 881.26 897.44 589.07 996.58 694.26 38
test_0728_THIRD78.38 3392.12 995.78 481.46 797.40 789.42 496.57 794.67 21
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5396.48 894.88 9
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 29
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 29
HPM-MVS++copyleft89.02 889.15 888.63 495.01 976.03 192.38 2592.85 6080.26 1387.78 3094.27 3675.89 1996.81 2287.45 1996.44 993.05 93
DVP-MVScopyleft89.60 390.35 387.33 4595.27 571.25 6393.49 992.73 6577.33 4992.12 995.78 480.98 997.40 789.08 796.41 1293.33 82
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 39
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5693.59 2576.27 8188.14 2695.09 1571.06 5996.67 2887.67 1696.37 1494.09 43
DPE-MVScopyleft89.48 589.98 488.01 1494.80 1172.69 3291.59 4294.10 1075.90 8892.29 795.66 1081.67 697.38 987.44 2096.34 1593.95 51
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
MP-MVS-pluss87.67 2287.72 2287.54 3993.64 5072.04 5289.80 8393.50 2875.17 10386.34 4095.29 1270.86 6096.00 5388.78 1296.04 1694.58 24
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6689.69 16874.31 12289.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 16
SF-MVS88.46 1188.74 1187.64 3892.78 6971.95 5392.40 2294.74 275.71 9089.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 16
CNVR-MVS88.93 989.13 988.33 794.77 1273.82 990.51 6393.00 4780.90 988.06 2894.06 4676.43 1696.84 2088.48 1495.99 1994.34 34
PHI-MVS86.43 4586.17 5087.24 4690.88 9770.96 7292.27 3094.07 1172.45 15385.22 5291.90 8769.47 7696.42 3883.28 5895.94 2094.35 33
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4694.70 374.47 11988.86 2294.61 2175.23 2495.84 5886.62 2695.92 2194.78 18
test_prior386.73 3986.86 3986.33 6392.61 7469.59 10188.85 10892.97 5475.41 9684.91 5693.54 5474.28 3495.48 7183.31 5595.86 2293.91 52
test_prior288.85 10875.41 9684.91 5693.54 5474.28 3483.31 5595.86 22
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2280.19 1488.10 2794.80 1673.76 3997.11 1387.51 1895.82 2494.90 8
Skip Steuart: Steuart Systems R&D Blog.
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6585.24 5194.32 3571.76 5496.93 1885.53 2995.79 2594.32 35
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8772.45 4190.02 7794.37 471.76 16487.28 3494.27 3675.18 2596.08 4985.16 3095.77 2693.80 62
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6194.05 1570.80 18187.59 3393.51 5677.57 1496.63 3183.31 5595.77 2694.72 20
9.1488.26 1592.84 6891.52 4594.75 173.93 13288.57 2494.67 1975.57 2395.79 5986.77 2395.76 28
DeepPCF-MVS80.84 188.10 1288.56 1286.73 5692.24 7869.03 11089.57 8993.39 3577.53 4689.79 1894.12 4378.98 1296.58 3685.66 2795.72 2994.58 24
train_agg86.43 4586.20 4887.13 4993.26 5672.96 2688.75 11391.89 10368.69 22885.00 5493.10 6574.43 3095.41 7784.97 3295.71 3093.02 95
test9_res84.90 3395.70 3192.87 101
APDe-MVS89.15 689.63 687.73 3094.49 2071.69 5893.83 493.96 1675.70 9291.06 1696.03 176.84 1597.03 1589.09 695.65 3294.47 28
agg_prior282.91 6395.45 3392.70 104
CDPH-MVS85.76 5685.29 6387.17 4893.49 5371.08 6888.58 12192.42 7868.32 23384.61 6693.48 5772.32 4996.15 4879.00 9495.43 3494.28 37
DeepC-MVS79.81 287.08 3786.88 3887.69 3691.16 9172.32 4790.31 7193.94 1777.12 5782.82 9494.23 3972.13 5297.09 1484.83 3695.37 3593.65 70
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7392.02 9479.45 1985.88 4294.80 1668.07 8696.21 4386.69 2495.34 3693.23 85
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18592.02 9479.45 1985.88 4294.80 1668.07 8696.21 4386.69 2495.34 3693.23 85
agg_prior186.22 4986.09 5286.62 5992.85 6671.94 5488.59 12091.78 10968.96 22384.41 6993.18 6474.94 2694.93 9884.75 3895.33 3893.01 96
DeepC-MVS_fast79.65 386.91 3886.62 4187.76 2993.52 5272.37 4491.26 4893.04 4376.62 7284.22 7393.36 6171.44 5796.76 2480.82 8395.33 3894.16 40
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2192.65 7077.57 4283.84 8094.40 3472.24 5096.28 4185.65 2895.30 4093.62 72
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8193.82 1973.07 14884.86 6192.89 7176.22 1796.33 3984.89 3595.13 4194.40 31
GST-MVS87.42 2887.26 2987.89 2494.12 3972.97 2592.39 2493.43 3376.89 6384.68 6293.99 5070.67 6496.82 2184.18 4995.01 4293.90 54
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 3992.83 6173.01 15088.58 2394.52 2373.36 4096.49 3784.26 4695.01 4292.70 104
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5192.83 6181.50 685.79 4593.47 5973.02 4597.00 1784.90 3394.94 4494.10 42
ACMMPR87.44 2687.23 3188.08 1394.64 1373.59 1293.04 1293.20 3976.78 6784.66 6594.52 2368.81 8496.65 2984.53 4194.90 4594.00 49
HFP-MVS87.58 2387.47 2587.94 1794.58 1673.54 1593.04 1293.24 3776.78 6784.91 5694.44 3070.78 6196.61 3284.53 4194.89 4693.66 65
#test#87.33 3187.13 3387.94 1794.58 1673.54 1592.34 2793.24 3775.23 10084.91 5694.44 3070.78 6196.61 3283.75 5494.89 4693.66 65
ZD-MVS94.38 2772.22 4892.67 6770.98 17987.75 3194.07 4574.01 3896.70 2684.66 3994.84 48
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3193.49 3074.75 11388.33 2594.43 3273.27 4297.02 1684.18 4994.84 4893.82 59
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7084.45 6894.52 2369.09 8096.70 2684.37 4494.83 5094.03 46
原ACMM184.35 11493.01 6468.79 11692.44 7563.96 28381.09 11691.57 9666.06 10895.45 7367.19 20694.82 5188.81 240
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3293.33 3676.07 8483.81 8193.95 5169.77 7496.01 5285.15 3194.66 5294.32 35
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
DPM-MVS84.93 7084.29 7586.84 5390.20 10973.04 2487.12 16793.04 4369.80 20182.85 9391.22 10573.06 4496.02 5176.72 12194.63 5391.46 145
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4792.35 8074.62 11688.90 2193.85 5275.75 2096.00 5387.80 1594.63 5395.04 3
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
PGM-MVS86.68 4186.27 4687.90 2194.22 3573.38 1990.22 7493.04 4375.53 9483.86 7994.42 3367.87 9096.64 3082.70 6994.57 5593.66 65
XVS87.18 3486.91 3788.00 1594.42 2273.33 2092.78 1792.99 4979.14 2283.67 8394.17 4067.45 9396.60 3483.06 6094.50 5694.07 44
X-MVStestdata80.37 14377.83 17988.00 1594.42 2273.33 2092.78 1792.99 4979.14 2283.67 8312.47 37167.45 9396.60 3483.06 6094.50 5694.07 44
test1286.80 5592.63 7370.70 8191.79 10882.71 9671.67 5596.16 4794.50 5693.54 76
CP-MVS87.11 3586.92 3687.68 3794.20 3673.86 893.98 392.82 6476.62 7283.68 8294.46 2767.93 8895.95 5684.20 4894.39 5993.23 85
CSCG86.41 4786.19 4987.07 5092.91 6572.48 3890.81 5793.56 2673.95 13083.16 8891.07 11075.94 1895.19 8879.94 9294.38 6093.55 75
MSLP-MVS++85.43 6185.76 5584.45 10991.93 8370.24 8790.71 5992.86 5977.46 4884.22 7392.81 7567.16 9792.94 18680.36 8894.35 6190.16 187
mPP-MVS86.67 4286.32 4587.72 3294.41 2473.55 1392.74 1992.22 8776.87 6482.81 9594.25 3866.44 10296.24 4282.88 6494.28 6293.38 79
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4093.19 4077.87 3690.32 1794.00 4874.83 2793.78 14587.63 1794.27 6393.65 70
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
MSP-MVS89.51 489.91 588.30 994.28 3273.46 1892.90 1694.11 880.27 1291.35 1494.16 4178.35 1396.77 2389.59 394.22 6494.67 21
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
DELS-MVS85.41 6285.30 6285.77 7588.49 17167.93 13985.52 21793.44 3278.70 2983.63 8589.03 16174.57 2895.71 6280.26 9094.04 6593.66 65
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
EPNet83.72 7882.92 8686.14 6984.22 25569.48 10491.05 5485.27 25781.30 776.83 18291.65 9266.09 10795.56 6676.00 12693.85 6693.38 79
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DROMVSNet86.01 5186.38 4384.91 9589.31 13966.27 16792.32 2893.63 2379.37 2184.17 7591.88 8869.04 8395.43 7583.93 5293.77 6793.01 96
3Dnovator+77.84 485.48 5984.47 7488.51 691.08 9273.49 1793.18 1193.78 2180.79 1076.66 18793.37 6060.40 18896.75 2577.20 11493.73 6895.29 2
CS-MVS84.53 7384.97 6883.23 15487.54 20463.27 22888.82 11093.50 2875.98 8783.07 8989.73 13970.29 6895.23 8682.07 7493.70 6991.18 151
CANet86.45 4486.10 5187.51 4090.09 11170.94 7489.70 8792.59 7281.78 481.32 11191.43 10170.34 6697.23 1284.26 4693.36 7094.37 32
新几何183.42 14493.13 5870.71 8085.48 25557.43 33481.80 10591.98 8563.28 13392.27 20764.60 22792.99 7187.27 273
112180.84 12679.77 13384.05 12693.11 6070.78 7984.66 23085.42 25657.37 33581.76 10992.02 8463.41 13194.12 12967.28 20392.93 7287.26 274
HPM-MVS_fast85.35 6384.95 7086.57 6193.69 4870.58 8592.15 3491.62 11373.89 13382.67 9794.09 4462.60 14595.54 6980.93 8192.93 7293.57 74
SR-MVS86.73 3986.67 4086.91 5294.11 4072.11 5192.37 2692.56 7374.50 11786.84 3794.65 2067.31 9595.77 6084.80 3792.85 7492.84 102
旧先验191.96 8265.79 17786.37 24693.08 6969.31 7992.74 7588.74 243
3Dnovator76.31 583.38 8582.31 9486.59 6087.94 18872.94 2990.64 6092.14 9177.21 5375.47 21292.83 7358.56 19594.72 11073.24 15192.71 7692.13 126
test117286.20 5086.22 4786.12 7093.95 4269.89 9691.79 4192.28 8275.07 10486.40 3994.58 2265.00 12095.56 6684.34 4592.60 7792.90 100
MVS_111021_HR85.14 6684.75 7286.32 6591.65 8672.70 3185.98 20090.33 15076.11 8382.08 10091.61 9571.36 5894.17 12881.02 8092.58 7892.08 127
APD-MVS_3200maxsize85.97 5285.88 5386.22 6792.69 7269.53 10391.93 3692.99 4973.54 14085.94 4194.51 2665.80 11295.61 6383.04 6292.51 7993.53 77
test250677.30 21576.49 21279.74 24290.08 11252.02 34187.86 15063.10 36874.88 10980.16 12792.79 7638.29 34192.35 20468.74 19192.50 8094.86 12
ECVR-MVScopyleft79.61 15579.26 14780.67 22490.08 11254.69 32587.89 14877.44 33574.88 10980.27 12492.79 7648.96 28592.45 19868.55 19292.50 8094.86 12
test111179.43 16279.18 15080.15 23489.99 11653.31 33887.33 16277.05 33875.04 10580.23 12692.77 7848.97 28492.33 20668.87 18992.40 8294.81 15
CS-MVS-test85.02 6985.21 6484.46 10889.28 14165.70 17991.16 5293.56 2677.83 3881.80 10589.89 13470.67 6495.61 6380.39 8792.34 8392.06 128
MAR-MVS81.84 10780.70 11785.27 8291.32 9071.53 6089.82 8190.92 13469.77 20278.50 14786.21 24062.36 15194.52 11465.36 22092.05 8489.77 211
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
TSAR-MVS + GP.85.71 5785.33 6086.84 5391.34 8972.50 3789.07 10187.28 23276.41 7485.80 4490.22 12774.15 3795.37 8381.82 7591.88 8592.65 108
SR-MVS-dyc-post85.77 5585.61 5686.23 6693.06 6270.63 8291.88 3792.27 8373.53 14185.69 4694.45 2865.00 12095.56 6682.75 6591.87 8692.50 111
RE-MVS-def85.48 5793.06 6270.63 8291.88 3792.27 8373.53 14185.69 4694.45 2863.87 12782.75 6591.87 8692.50 111
IS-MVSNet83.15 8782.81 8784.18 12089.94 11863.30 22791.59 4288.46 20979.04 2679.49 13292.16 8265.10 11794.28 11967.71 19891.86 8894.95 5
Vis-MVSNet (Re-imp)78.36 18978.45 16278.07 26988.64 16751.78 34486.70 18279.63 32474.14 12875.11 22790.83 11761.29 17189.75 26558.10 28191.60 8992.69 106
MG-MVS83.41 8383.45 7883.28 14992.74 7162.28 24488.17 13889.50 17275.22 10181.49 11092.74 7966.75 9895.11 9172.85 15491.58 9092.45 114
CPTT-MVS83.73 7783.33 8084.92 9493.28 5570.86 7792.09 3590.38 14668.75 22779.57 13192.83 7360.60 18493.04 18480.92 8291.56 9190.86 163
test22291.50 8868.26 13384.16 24583.20 28954.63 34679.74 12991.63 9458.97 19391.42 9286.77 286
ETV-MVS84.90 7284.67 7385.59 7789.39 13268.66 12688.74 11592.64 7179.97 1784.10 7685.71 24869.32 7895.38 8080.82 8391.37 9392.72 103
testdata79.97 23790.90 9664.21 20784.71 26259.27 32185.40 4892.91 7062.02 15889.08 27768.95 18891.37 9386.63 290
abl_685.23 6484.95 7086.07 7192.23 7970.48 8690.80 5892.08 9273.51 14385.26 5094.16 4162.75 14495.92 5782.46 7291.30 9591.81 135
API-MVS81.99 10581.23 10984.26 11890.94 9570.18 9391.10 5389.32 17671.51 17178.66 14488.28 18065.26 11595.10 9464.74 22691.23 9687.51 267
Vis-MVSNetpermissive83.46 8282.80 8885.43 7990.25 10868.74 12090.30 7290.13 15676.33 8080.87 11992.89 7161.00 17794.20 12572.45 15890.97 9793.35 81
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
OpenMVScopyleft72.83 1079.77 15378.33 16884.09 12385.17 24069.91 9490.57 6290.97 13366.70 24572.17 25891.91 8654.70 22393.96 13361.81 24990.95 9888.41 251
UA-Net85.08 6884.96 6985.45 7892.07 8168.07 13789.78 8490.86 13782.48 284.60 6793.20 6369.35 7795.22 8771.39 16490.88 9993.07 92
ACMMPcopyleft85.89 5485.39 5987.38 4493.59 5172.63 3492.74 1993.18 4176.78 6780.73 12093.82 5364.33 12396.29 4082.67 7090.69 10093.23 85
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
Regformer-186.41 4786.33 4486.64 5889.33 13470.93 7588.43 12391.39 12282.14 386.65 3890.09 12974.39 3295.01 9783.97 5190.63 10193.97 50
Regformer-286.63 4386.53 4286.95 5189.33 13471.24 6788.43 12392.05 9382.50 186.88 3690.09 12974.45 2995.61 6384.38 4390.63 10194.01 48
casdiffmvs85.11 6785.14 6585.01 8987.20 21265.77 17887.75 15192.83 6177.84 3784.36 7292.38 8072.15 5193.93 13981.27 7990.48 10395.33 1
UGNet80.83 12879.59 13884.54 10588.04 18568.09 13689.42 9088.16 21176.95 6176.22 19789.46 15049.30 28093.94 13668.48 19390.31 10491.60 138
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
baseline84.93 7084.98 6784.80 10087.30 21065.39 18687.30 16392.88 5877.62 4084.04 7892.26 8171.81 5393.96 13381.31 7890.30 10595.03 4
MVSFormer82.85 9382.05 9985.24 8387.35 20570.21 8890.50 6490.38 14668.55 23081.32 11189.47 14861.68 16093.46 16378.98 9590.26 10692.05 129
lupinMVS81.39 11880.27 12784.76 10187.35 20570.21 8885.55 21386.41 24462.85 29281.32 11188.61 17061.68 16092.24 21078.41 10390.26 10691.83 133
DP-MVS Recon83.11 9082.09 9786.15 6894.44 2170.92 7688.79 11192.20 8870.53 18879.17 13591.03 11364.12 12596.03 5068.39 19590.14 10891.50 142
EIA-MVS83.31 8682.80 8884.82 9889.59 12365.59 18188.21 13692.68 6674.66 11578.96 13786.42 23669.06 8195.26 8575.54 13190.09 10993.62 72
MVS_111021_LR82.61 9782.11 9684.11 12188.82 15871.58 5985.15 22086.16 24974.69 11480.47 12391.04 11162.29 15290.55 25580.33 8990.08 11090.20 186
jason81.39 11880.29 12684.70 10286.63 22269.90 9585.95 20186.77 24063.24 28581.07 11789.47 14861.08 17692.15 21378.33 10490.07 11192.05 129
jason: jason.
LFMVS81.82 10881.23 10983.57 14191.89 8463.43 22589.84 8081.85 30377.04 6083.21 8693.10 6552.26 24293.43 16571.98 15989.95 11293.85 56
MVS78.19 19476.99 20081.78 19685.66 23266.99 15584.66 23090.47 14455.08 34572.02 26085.27 25863.83 12894.11 13166.10 21489.80 11384.24 319
CANet_DTU80.61 13679.87 13182.83 17285.60 23463.17 23387.36 16088.65 20576.37 7875.88 20688.44 17653.51 23393.07 18173.30 14989.74 11492.25 121
PVSNet_Blended80.98 12380.34 12482.90 17088.85 15565.40 18484.43 24092.00 9767.62 23778.11 15785.05 26566.02 10994.27 12071.52 16189.50 11589.01 230
PAPM_NR83.02 9182.41 9184.82 9892.47 7766.37 16587.93 14691.80 10773.82 13477.32 17290.66 11967.90 8994.90 10270.37 17289.48 11693.19 89
114514_t80.68 13579.51 13984.20 11994.09 4167.27 15289.64 8891.11 13158.75 32674.08 24090.72 11858.10 19795.04 9669.70 18089.42 11790.30 183
LCM-MVSNet-Re77.05 21876.94 20177.36 27987.20 21251.60 34580.06 29380.46 31675.20 10267.69 29986.72 22062.48 14888.98 27963.44 23289.25 11891.51 141
alignmvs85.48 5985.32 6185.96 7489.51 12769.47 10589.74 8592.47 7476.17 8287.73 3291.46 10070.32 6793.78 14581.51 7688.95 11994.63 23
VNet82.21 10082.41 9181.62 19990.82 9860.93 25884.47 23689.78 16476.36 7984.07 7791.88 8864.71 12290.26 25770.68 16988.89 12093.66 65
PS-MVSNAJ81.69 11181.02 11383.70 13889.51 12768.21 13584.28 24490.09 15770.79 18281.26 11585.62 25263.15 13894.29 11875.62 12988.87 12188.59 246
canonicalmvs85.91 5385.87 5486.04 7289.84 12069.44 10890.45 6993.00 4776.70 7188.01 2991.23 10473.28 4193.91 14081.50 7788.80 12294.77 19
QAPM80.88 12479.50 14085.03 8888.01 18768.97 11491.59 4292.00 9766.63 24975.15 22692.16 8257.70 20195.45 7363.52 23088.76 12390.66 169
VDD-MVS83.01 9282.36 9384.96 9191.02 9466.40 16488.91 10588.11 21277.57 4284.39 7193.29 6252.19 24393.91 14077.05 11688.70 12494.57 26
PVSNet_Blended_VisFu82.62 9681.83 10484.96 9190.80 9969.76 9888.74 11591.70 11269.39 20878.96 13788.46 17565.47 11494.87 10574.42 13688.57 12590.24 185
xiu_mvs_v2_base81.69 11181.05 11283.60 13989.15 14768.03 13884.46 23890.02 15870.67 18581.30 11486.53 23463.17 13794.19 12675.60 13088.54 12688.57 247
PAPR81.66 11380.89 11683.99 13290.27 10764.00 21086.76 18191.77 11168.84 22677.13 18089.50 14667.63 9194.88 10467.55 20088.52 12793.09 91
MVS_Test83.15 8783.06 8383.41 14686.86 21663.21 23086.11 19892.00 9774.31 12282.87 9289.44 15370.03 7093.21 17077.39 11388.50 12893.81 60
AdaColmapbinary80.58 13979.42 14184.06 12593.09 6168.91 11589.36 9188.97 19469.27 21175.70 20989.69 14057.20 20995.77 6063.06 23688.41 12987.50 268
VDDNet81.52 11580.67 11884.05 12690.44 10564.13 20989.73 8685.91 25271.11 17683.18 8793.48 5750.54 26693.49 16073.40 14888.25 13094.54 27
PCF-MVS73.52 780.38 14278.84 15685.01 8987.71 19668.99 11383.65 25391.46 12163.00 28977.77 16490.28 12466.10 10695.09 9561.40 25288.22 13190.94 161
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Effi-MVS+83.62 8083.08 8285.24 8388.38 17667.45 14788.89 10689.15 18575.50 9582.27 9888.28 18069.61 7594.45 11677.81 10887.84 13293.84 58
gg-mvs-nofinetune69.95 28967.96 29275.94 29183.07 27954.51 32877.23 31970.29 35463.11 28770.32 27462.33 35743.62 31688.69 28453.88 30387.76 13384.62 317
Regformer-385.23 6485.07 6685.70 7688.95 15369.01 11288.29 13389.91 16280.95 885.01 5390.01 13272.45 4894.19 12682.50 7187.57 13493.90 54
Regformer-485.68 5885.45 5886.35 6288.95 15369.67 10088.29 13391.29 12481.73 585.36 4990.01 13272.62 4795.35 8483.28 5887.57 13494.03 46
xiu_mvs_v1_base_debu80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
xiu_mvs_v1_base80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
xiu_mvs_v1_base_debi80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
CLD-MVS82.31 9981.65 10584.29 11788.47 17267.73 14385.81 20892.35 8075.78 8978.33 15286.58 23164.01 12694.35 11776.05 12487.48 13990.79 164
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CDS-MVSNet79.07 17377.70 18583.17 15787.60 19968.23 13484.40 24286.20 24867.49 23976.36 19486.54 23361.54 16390.79 25161.86 24887.33 14090.49 176
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
diffmvs82.10 10181.88 10382.76 18083.00 28263.78 21583.68 25289.76 16572.94 15182.02 10189.85 13665.96 11190.79 25182.38 7387.30 14193.71 64
EPP-MVSNet83.40 8483.02 8484.57 10490.13 11064.47 20292.32 2890.73 13874.45 12179.35 13491.10 10869.05 8295.12 9072.78 15587.22 14294.13 41
TAMVS78.89 17877.51 19083.03 16487.80 19267.79 14284.72 22985.05 26067.63 23676.75 18587.70 19362.25 15390.82 25058.53 27787.13 14390.49 176
TAPA-MVS73.13 979.15 17077.94 17582.79 17789.59 12362.99 23788.16 13991.51 11765.77 25877.14 17991.09 10960.91 17893.21 17050.26 32187.05 14492.17 125
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPM77.68 20876.40 21581.51 20287.29 21161.85 24983.78 25189.59 17064.74 27071.23 26688.70 16662.59 14693.66 15352.66 30887.03 14589.01 230
test_yl81.17 12080.47 12283.24 15289.13 14863.62 21686.21 19589.95 16072.43 15681.78 10789.61 14357.50 20493.58 15470.75 16786.90 14692.52 109
DCV-MVSNet81.17 12080.47 12283.24 15289.13 14863.62 21686.21 19589.95 16072.43 15681.78 10789.61 14357.50 20493.58 15470.75 16786.90 14692.52 109
BH-untuned79.47 16078.60 15982.05 19189.19 14665.91 17486.07 19988.52 20872.18 15975.42 21687.69 19461.15 17493.54 15860.38 25986.83 14886.70 288
BH-RMVSNet79.61 15578.44 16383.14 15889.38 13365.93 17384.95 22587.15 23573.56 13978.19 15589.79 13756.67 21293.36 16659.53 26686.74 14990.13 189
LS3D76.95 22174.82 23383.37 14790.45 10467.36 15189.15 9986.94 23861.87 30269.52 28790.61 12051.71 25494.53 11346.38 34186.71 15088.21 253
Fast-Effi-MVS+80.81 12979.92 13083.47 14288.85 15564.51 19985.53 21589.39 17470.79 18278.49 14885.06 26467.54 9293.58 15467.03 20986.58 15192.32 117
EPNet_dtu75.46 24174.86 23277.23 28382.57 29354.60 32686.89 17483.09 29171.64 16666.25 31785.86 24655.99 21488.04 29254.92 29986.55 15289.05 228
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
OPM-MVS83.50 8182.95 8585.14 8588.79 16170.95 7389.13 10091.52 11677.55 4580.96 11891.75 9060.71 18094.50 11579.67 9386.51 15389.97 203
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
OMC-MVS82.69 9581.97 10284.85 9788.75 16367.42 14887.98 14290.87 13674.92 10879.72 13091.65 9262.19 15593.96 13375.26 13386.42 15493.16 90
HQP_MVS83.64 7983.14 8185.14 8590.08 11268.71 12291.25 4992.44 7579.12 2478.92 13991.00 11460.42 18695.38 8078.71 9786.32 15591.33 147
plane_prior592.44 7595.38 8078.71 9786.32 15591.33 147
thisisatest051577.33 21475.38 22783.18 15685.27 23963.80 21482.11 27383.27 28665.06 26675.91 20483.84 27849.54 27694.27 12067.24 20586.19 15791.48 144
plane_prior68.71 12290.38 7077.62 4086.16 158
mvs_anonymous79.42 16379.11 15180.34 23084.45 25257.97 28982.59 26887.62 22567.40 24076.17 20188.56 17368.47 8589.59 26870.65 17086.05 15993.47 78
GeoE81.71 11081.01 11483.80 13789.51 12764.45 20388.97 10388.73 20471.27 17478.63 14589.76 13866.32 10493.20 17269.89 17886.02 16093.74 63
HQP3-MVS92.19 8985.99 161
HQP-MVS82.61 9782.02 10084.37 11289.33 13466.98 15689.17 9592.19 8976.41 7477.23 17590.23 12660.17 18995.11 9177.47 11185.99 16191.03 157
BH-w/o78.21 19277.33 19480.84 22088.81 15965.13 19184.87 22687.85 22269.75 20374.52 23684.74 26861.34 16993.11 17958.24 28085.84 16384.27 318
CHOSEN 1792x268877.63 20975.69 21983.44 14389.98 11768.58 12878.70 30887.50 22856.38 34075.80 20886.84 21658.67 19491.40 23561.58 25185.75 16490.34 182
Anonymous20240521178.25 19077.01 19881.99 19391.03 9360.67 26384.77 22883.90 27570.65 18780.00 12891.20 10641.08 33191.43 23465.21 22185.26 16593.85 56
cascas76.72 22474.64 23482.99 16685.78 23165.88 17582.33 27189.21 18260.85 30872.74 25081.02 30947.28 29393.75 14967.48 20185.02 16689.34 220
FIs82.07 10382.42 9081.04 21788.80 16058.34 28388.26 13593.49 3076.93 6278.47 14991.04 11169.92 7292.34 20569.87 17984.97 16792.44 115
test-LLR72.94 26772.43 25674.48 30581.35 31258.04 28778.38 30977.46 33366.66 24669.95 28279.00 32748.06 28879.24 33966.13 21284.83 16886.15 296
test-mter71.41 27670.39 27774.48 30581.35 31258.04 28778.38 30977.46 33360.32 31169.95 28279.00 32736.08 34879.24 33966.13 21284.83 16886.15 296
EI-MVSNet-Vis-set84.19 7483.81 7685.31 8088.18 18067.85 14087.66 15389.73 16780.05 1682.95 9089.59 14570.74 6394.82 10680.66 8684.72 17093.28 84
thisisatest053079.40 16477.76 18384.31 11687.69 19865.10 19287.36 16084.26 27170.04 19577.42 16988.26 18249.94 27294.79 10870.20 17384.70 17193.03 94
GG-mvs-BLEND75.38 29881.59 30755.80 32079.32 30069.63 35667.19 30473.67 35043.24 31788.90 28350.41 31684.50 17281.45 340
FC-MVSNet-test81.52 11582.02 10080.03 23688.42 17555.97 31987.95 14493.42 3477.10 5877.38 17090.98 11669.96 7191.79 22468.46 19484.50 17292.33 116
PVSNet64.34 1872.08 27470.87 27375.69 29386.21 22656.44 31274.37 33480.73 31162.06 30170.17 27782.23 30042.86 32083.31 32554.77 30084.45 17487.32 272
MS-PatchMatch73.83 25572.67 25477.30 28183.87 26266.02 17081.82 27484.66 26361.37 30668.61 29482.82 29247.29 29288.21 28959.27 26784.32 17577.68 352
ET-MVSNet_ETH3D78.63 18276.63 21184.64 10386.73 22169.47 10585.01 22384.61 26469.54 20666.51 31586.59 22950.16 26991.75 22576.26 12284.24 17692.69 106
TESTMET0.1,169.89 29069.00 28372.55 31779.27 33956.85 30478.38 30974.71 34757.64 33268.09 29677.19 34037.75 34376.70 35063.92 22984.09 17784.10 322
EI-MVSNet-UG-set83.81 7683.38 7985.09 8787.87 18967.53 14687.44 15989.66 16979.74 1882.23 9989.41 15470.24 6994.74 10979.95 9183.92 17892.99 98
LPG-MVS_test82.08 10281.27 10884.50 10689.23 14468.76 11890.22 7491.94 10175.37 9876.64 18891.51 9754.29 22694.91 10078.44 10183.78 17989.83 208
LGP-MVS_train84.50 10689.23 14468.76 11891.94 10175.37 9876.64 18891.51 9754.29 22694.91 10078.44 10183.78 17989.83 208
thres100view90076.50 22675.55 22279.33 25089.52 12656.99 30385.83 20783.23 28773.94 13176.32 19587.12 21251.89 25191.95 21948.33 32983.75 18189.07 223
tfpn200view976.42 22975.37 22879.55 24989.13 14857.65 29585.17 21883.60 27873.41 14476.45 19086.39 23752.12 24491.95 21948.33 32983.75 18189.07 223
thres40076.50 22675.37 22879.86 23989.13 14857.65 29585.17 21883.60 27873.41 14476.45 19086.39 23752.12 24491.95 21948.33 32983.75 18190.00 199
thres600view776.50 22675.44 22479.68 24489.40 13157.16 30085.53 21583.23 28773.79 13576.26 19687.09 21351.89 25191.89 22248.05 33483.72 18490.00 199
thres20075.55 24074.47 23878.82 25787.78 19557.85 29283.07 26583.51 28172.44 15575.84 20784.42 27052.08 24691.75 22547.41 33683.64 18586.86 284
XVG-OURS80.41 14179.23 14883.97 13385.64 23369.02 11183.03 26690.39 14571.09 17777.63 16691.49 9954.62 22591.35 23675.71 12783.47 18691.54 140
CNLPA78.08 19676.79 20581.97 19490.40 10671.07 6987.59 15584.55 26566.03 25672.38 25689.64 14257.56 20386.04 30659.61 26583.35 18788.79 241
MVP-Stereo76.12 23374.46 23981.13 21585.37 23869.79 9784.42 24187.95 21865.03 26767.46 30185.33 25753.28 23591.73 22758.01 28283.27 18881.85 338
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
131476.53 22575.30 23080.21 23383.93 26162.32 24384.66 23088.81 19760.23 31270.16 27884.07 27555.30 21790.73 25367.37 20283.21 18987.59 266
tttt051779.40 16477.91 17683.90 13688.10 18363.84 21388.37 13084.05 27371.45 17276.78 18489.12 15849.93 27494.89 10370.18 17483.18 19092.96 99
mvs-test180.88 12479.40 14285.29 8185.13 24369.75 9989.28 9288.10 21374.99 10676.44 19386.72 22057.27 20794.26 12473.53 14483.18 19091.87 132
HyFIR lowres test77.53 21075.40 22683.94 13589.59 12366.62 16180.36 29088.64 20656.29 34176.45 19085.17 26157.64 20293.28 16861.34 25483.10 19291.91 131
ACMP74.13 681.51 11780.57 11984.36 11389.42 13068.69 12589.97 7991.50 12074.46 12075.04 23090.41 12353.82 23194.54 11277.56 11082.91 19389.86 207
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM73.20 880.78 13479.84 13283.58 14089.31 13968.37 13089.99 7891.60 11470.28 19277.25 17389.66 14153.37 23493.53 15974.24 13982.85 19488.85 238
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PMMVS69.34 29268.67 28471.35 32475.67 35062.03 24675.17 32873.46 34950.00 35468.68 29279.05 32552.07 24778.13 34461.16 25582.77 19573.90 355
PLCcopyleft70.83 1178.05 19876.37 21683.08 16191.88 8567.80 14188.19 13789.46 17364.33 27669.87 28488.38 17753.66 23293.58 15458.86 27382.73 19687.86 259
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TR-MVS77.44 21176.18 21781.20 21288.24 17963.24 22984.61 23486.40 24567.55 23877.81 16286.48 23554.10 22893.15 17657.75 28482.72 19787.20 275
Anonymous2024052980.19 14778.89 15584.10 12290.60 10164.75 19688.95 10490.90 13565.97 25780.59 12191.17 10749.97 27193.73 15169.16 18682.70 19893.81 60
ab-mvs79.51 15878.97 15481.14 21488.46 17360.91 25983.84 25089.24 18170.36 19079.03 13688.87 16463.23 13690.21 25965.12 22282.57 19992.28 120
HY-MVS69.67 1277.95 20177.15 19680.36 22987.57 20360.21 27083.37 26087.78 22366.11 25375.37 21887.06 21563.27 13490.48 25661.38 25382.43 20090.40 180
PS-MVSNAJss82.07 10381.31 10784.34 11586.51 22367.27 15289.27 9391.51 11771.75 16579.37 13390.22 12763.15 13894.27 12077.69 10982.36 20191.49 143
UniMVSNet_ETH3D79.10 17278.24 17081.70 19886.85 21760.24 26987.28 16488.79 19874.25 12576.84 18190.53 12249.48 27791.56 23067.98 19682.15 20293.29 83
PVSNet_BlendedMVS80.60 13780.02 12882.36 18788.85 15565.40 18486.16 19792.00 9769.34 21078.11 15786.09 24366.02 10994.27 12071.52 16182.06 20387.39 269
WTY-MVS75.65 23975.68 22075.57 29586.40 22456.82 30577.92 31682.40 29765.10 26576.18 19987.72 19263.13 14180.90 33560.31 26081.96 20489.00 232
ACMMP++_ref81.95 205
DP-MVS76.78 22374.57 23583.42 14493.29 5469.46 10788.55 12283.70 27763.98 28270.20 27588.89 16354.01 23094.80 10746.66 33881.88 20686.01 300
CMPMVSbinary51.72 2170.19 28768.16 28976.28 28973.15 36257.55 29779.47 29983.92 27448.02 35556.48 35484.81 26643.13 31886.42 30462.67 24081.81 20784.89 312
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
XVG-OURS-SEG-HR80.81 12979.76 13483.96 13485.60 23468.78 11783.54 25890.50 14370.66 18676.71 18691.66 9160.69 18191.26 23876.94 11881.58 20891.83 133
MIMVSNet70.69 28169.30 28074.88 30284.52 25056.35 31575.87 32679.42 32564.59 27167.76 29782.41 29641.10 33081.54 33246.64 34081.34 20986.75 287
ACMMP++81.25 210
D2MVS74.82 24673.21 25079.64 24679.81 33062.56 24080.34 29187.35 23164.37 27568.86 29182.66 29446.37 29890.10 26167.91 19781.24 21186.25 293
GA-MVS76.87 22275.17 23181.97 19482.75 28862.58 23981.44 28186.35 24772.16 16174.74 23482.89 29046.20 30192.02 21768.85 19081.09 21291.30 149
sss73.60 25773.64 24773.51 31282.80 28755.01 32476.12 32281.69 30462.47 29774.68 23585.85 24757.32 20678.11 34560.86 25780.93 21387.39 269
Effi-MVS+-dtu80.03 14978.57 16084.42 11085.13 24368.74 12088.77 11288.10 21374.99 10674.97 23183.49 28457.27 20793.36 16673.53 14480.88 21491.18 151
EG-PatchMatch MVS74.04 25371.82 26280.71 22384.92 24667.42 14885.86 20588.08 21566.04 25564.22 32983.85 27735.10 35092.56 19557.44 28680.83 21582.16 337
jajsoiax79.29 16777.96 17483.27 15084.68 24966.57 16389.25 9490.16 15569.20 21575.46 21489.49 14745.75 30693.13 17876.84 11980.80 21690.11 191
1112_ss77.40 21376.43 21480.32 23189.11 15260.41 26883.65 25387.72 22462.13 30073.05 24886.72 22062.58 14789.97 26262.11 24680.80 21690.59 173
mvs_tets79.13 17177.77 18283.22 15584.70 24866.37 16589.17 9590.19 15469.38 20975.40 21789.46 15044.17 31493.15 17676.78 12080.70 21890.14 188
PatchMatch-RL72.38 27170.90 27176.80 28788.60 16867.38 15079.53 29876.17 34162.75 29469.36 28982.00 30445.51 30784.89 31553.62 30480.58 21978.12 351
EI-MVSNet80.52 14079.98 12982.12 18884.28 25363.19 23286.41 18988.95 19574.18 12778.69 14287.54 19966.62 9992.43 19972.57 15780.57 22090.74 167
MVSTER79.01 17477.88 17882.38 18683.07 27964.80 19584.08 24988.95 19569.01 22278.69 14287.17 21154.70 22392.43 19974.69 13580.57 22089.89 206
XVG-ACMP-BASELINE76.11 23474.27 24181.62 19983.20 27564.67 19783.60 25689.75 16669.75 20371.85 26187.09 21332.78 35492.11 21469.99 17780.43 22288.09 254
Fast-Effi-MVS+-dtu78.02 19976.49 21282.62 18283.16 27866.96 15986.94 17287.45 23072.45 15371.49 26584.17 27354.79 22291.58 22967.61 19980.31 22389.30 221
LTVRE_ROB69.57 1376.25 23274.54 23781.41 20488.60 16864.38 20579.24 30189.12 18870.76 18469.79 28687.86 19149.09 28293.20 17256.21 29680.16 22486.65 289
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
Test_1112_low_res76.40 23075.44 22479.27 25189.28 14158.09 28581.69 27787.07 23659.53 31972.48 25486.67 22661.30 17089.33 27260.81 25880.15 22590.41 179
test_djsdf80.30 14479.32 14583.27 15083.98 26065.37 18790.50 6490.38 14668.55 23076.19 19888.70 16656.44 21393.46 16378.98 9580.14 22690.97 160
CHOSEN 280x42066.51 30964.71 31071.90 31981.45 30963.52 22157.98 36168.95 36053.57 34762.59 33876.70 34146.22 30075.29 35755.25 29879.68 22776.88 354
MVS_030472.48 26970.89 27277.24 28282.20 29959.68 27284.11 24783.49 28267.10 24166.87 30880.59 31435.00 35187.40 29759.07 27179.58 22884.63 316
baseline275.70 23873.83 24681.30 20983.26 27361.79 25182.57 26980.65 31266.81 24266.88 30783.42 28557.86 20092.19 21163.47 23179.57 22989.91 204
GBi-Net78.40 18677.40 19181.40 20587.60 19963.01 23488.39 12789.28 17771.63 16775.34 21987.28 20454.80 21991.11 24162.72 23779.57 22990.09 193
test178.40 18677.40 19181.40 20587.60 19963.01 23488.39 12789.28 17771.63 16775.34 21987.28 20454.80 21991.11 24162.72 23779.57 22990.09 193
FMVSNet377.88 20376.85 20380.97 21886.84 21862.36 24186.52 18888.77 19971.13 17575.34 21986.66 22754.07 22991.10 24462.72 23779.57 22989.45 218
FMVSNet278.20 19377.21 19581.20 21287.60 19962.89 23887.47 15889.02 19071.63 16775.29 22387.28 20454.80 21991.10 24462.38 24179.38 23389.61 215
anonymousdsp78.60 18377.15 19682.98 16780.51 32367.08 15487.24 16589.53 17165.66 26075.16 22587.19 21052.52 23792.25 20977.17 11579.34 23489.61 215
RRT_MVS79.88 15278.38 16584.38 11185.42 23770.60 8488.71 11788.75 20372.30 15878.83 14189.14 15644.44 31292.18 21278.50 10079.33 23590.35 181
nrg03083.88 7583.53 7784.96 9186.77 22069.28 10990.46 6892.67 6774.79 11182.95 9091.33 10372.70 4693.09 18080.79 8579.28 23692.50 111
VPA-MVSNet80.60 13780.55 12080.76 22288.07 18460.80 26186.86 17591.58 11575.67 9380.24 12589.45 15263.34 13290.25 25870.51 17179.22 23791.23 150
F-COLMAP76.38 23174.33 24082.50 18489.28 14166.95 16088.41 12689.03 18964.05 28066.83 30988.61 17046.78 29692.89 18757.48 28578.55 23887.67 262
FMVSNet177.44 21176.12 21881.40 20586.81 21963.01 23488.39 12789.28 17770.49 18974.39 23787.28 20449.06 28391.11 24160.91 25678.52 23990.09 193
MDTV_nov1_ep1369.97 27983.18 27653.48 33577.10 32080.18 32160.45 30969.33 29080.44 31548.89 28686.90 30051.60 31278.51 240
CVMVSNet72.99 26672.58 25574.25 30884.28 25350.85 35086.41 18983.45 28444.56 35673.23 24687.54 19949.38 27885.70 30865.90 21678.44 24186.19 295
tpm273.26 26271.46 26478.63 25983.34 27156.71 30880.65 28780.40 31756.63 33973.55 24282.02 30351.80 25391.24 23956.35 29578.42 24287.95 255
CostFormer75.24 24573.90 24479.27 25182.65 29258.27 28480.80 28382.73 29561.57 30375.33 22283.13 28855.52 21591.07 24764.98 22478.34 24388.45 249
ACMH67.68 1675.89 23673.93 24381.77 19788.71 16566.61 16288.62 11989.01 19169.81 20066.78 31086.70 22541.95 32891.51 23355.64 29778.14 24487.17 276
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
bset_n11_16_dypcd77.12 21775.47 22382.06 19081.12 31665.99 17181.37 28283.20 28969.94 19876.09 20383.38 28647.75 29092.26 20878.51 9977.91 24587.95 255
CR-MVSNet73.37 25971.27 26879.67 24581.32 31465.19 18975.92 32480.30 31859.92 31572.73 25181.19 30652.50 23886.69 30159.84 26377.71 24687.11 280
RPMNet73.51 25870.49 27482.58 18381.32 31465.19 18975.92 32492.27 8357.60 33372.73 25176.45 34352.30 24195.43 7548.14 33377.71 24687.11 280
SCA74.22 25172.33 25879.91 23884.05 25962.17 24579.96 29579.29 32666.30 25272.38 25680.13 31851.95 24988.60 28559.25 26877.67 24888.96 234
Anonymous2023121178.97 17677.69 18682.81 17490.54 10364.29 20690.11 7691.51 11765.01 26876.16 20288.13 18950.56 26593.03 18569.68 18177.56 24991.11 154
DWT-MVSNet_test73.70 25671.86 26179.21 25382.91 28558.94 27782.34 27082.17 29865.21 26371.05 26978.31 33244.21 31390.17 26063.29 23577.28 25088.53 248
v114480.03 14979.03 15283.01 16583.78 26364.51 19987.11 16890.57 14271.96 16378.08 15986.20 24161.41 16793.94 13674.93 13477.23 25190.60 172
WR-MVS79.49 15979.22 14980.27 23288.79 16158.35 28285.06 22288.61 20778.56 3077.65 16588.34 17863.81 12990.66 25464.98 22477.22 25291.80 136
v119279.59 15778.43 16483.07 16283.55 26764.52 19886.93 17390.58 14170.83 18077.78 16385.90 24459.15 19293.94 13673.96 14177.19 25390.76 165
VPNet78.69 18178.66 15878.76 25888.31 17855.72 32184.45 23986.63 24276.79 6678.26 15390.55 12159.30 19189.70 26766.63 21077.05 25490.88 162
v124078.99 17577.78 18182.64 18183.21 27463.54 22086.62 18490.30 15269.74 20577.33 17185.68 24957.04 21093.76 14873.13 15276.92 25590.62 170
test_part182.78 9482.08 9884.89 9690.66 10066.97 15890.96 5592.93 5777.19 5480.53 12290.04 13163.44 13095.39 7976.04 12576.90 25692.31 118
MSDG73.36 26170.99 27080.49 22784.51 25165.80 17680.71 28686.13 25065.70 25965.46 32083.74 28144.60 31090.91 24951.13 31476.89 25784.74 314
IterMVS-LS80.06 14879.38 14382.11 18985.89 22963.20 23186.79 17889.34 17574.19 12675.45 21586.72 22066.62 9992.39 20172.58 15676.86 25890.75 166
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v192192079.22 16878.03 17382.80 17583.30 27263.94 21286.80 17790.33 15069.91 19977.48 16885.53 25358.44 19693.75 14973.60 14376.85 25990.71 168
XXY-MVS75.41 24375.56 22174.96 30183.59 26657.82 29380.59 28883.87 27666.54 25074.93 23288.31 17963.24 13580.09 33862.16 24476.85 25986.97 282
v2v48280.23 14579.29 14683.05 16383.62 26564.14 20887.04 16989.97 15973.61 13778.18 15687.22 20861.10 17593.82 14376.11 12376.78 26191.18 151
v14419279.47 16078.37 16682.78 17883.35 27063.96 21186.96 17190.36 14969.99 19677.50 16785.67 25060.66 18293.77 14774.27 13876.58 26290.62 170
UniMVSNet (Re)81.60 11481.11 11183.09 16088.38 17664.41 20487.60 15493.02 4678.42 3278.56 14688.16 18469.78 7393.26 16969.58 18276.49 26391.60 138
UniMVSNet_NR-MVSNet81.88 10681.54 10682.92 16988.46 17363.46 22387.13 16692.37 7980.19 1478.38 15089.14 15671.66 5693.05 18270.05 17576.46 26492.25 121
DU-MVS81.12 12280.52 12182.90 17087.80 19263.46 22387.02 17091.87 10579.01 2778.38 15089.07 15965.02 11893.05 18270.05 17576.46 26492.20 123
cl2278.07 19777.01 19881.23 21182.37 29861.83 25083.55 25787.98 21768.96 22375.06 22983.87 27661.40 16891.88 22373.53 14476.39 26689.98 202
miper_ehance_all_eth78.59 18477.76 18381.08 21682.66 29161.56 25383.65 25389.15 18568.87 22575.55 21183.79 28066.49 10192.03 21673.25 15076.39 26689.64 214
miper_enhance_ethall77.87 20476.86 20280.92 21981.65 30561.38 25582.68 26788.98 19265.52 26275.47 21282.30 29865.76 11392.00 21872.95 15376.39 26689.39 219
PatchmatchNetpermissive73.12 26471.33 26778.49 26483.18 27660.85 26079.63 29778.57 32864.13 27771.73 26279.81 32351.20 25885.97 30757.40 28776.36 26988.66 244
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
USDC70.33 28568.37 28676.21 29080.60 32156.23 31679.19 30386.49 24360.89 30761.29 34085.47 25531.78 35789.47 27153.37 30576.21 27082.94 334
OpenMVS_ROBcopyleft64.09 1970.56 28368.19 28877.65 27580.26 32459.41 27685.01 22382.96 29358.76 32565.43 32182.33 29737.63 34491.23 24045.34 34676.03 27182.32 335
ACMH+68.96 1476.01 23574.01 24282.03 19288.60 16865.31 18888.86 10787.55 22670.25 19367.75 29887.47 20141.27 32993.19 17458.37 27875.94 27287.60 264
tpm72.37 27271.71 26374.35 30782.19 30052.00 34279.22 30277.29 33664.56 27272.95 24983.68 28351.35 25683.26 32658.33 27975.80 27387.81 260
Anonymous2023120668.60 29767.80 29671.02 32680.23 32550.75 35178.30 31280.47 31556.79 33866.11 31882.63 29546.35 29978.95 34143.62 34975.70 27483.36 327
v7n78.97 17677.58 18983.14 15883.45 26965.51 18288.32 13191.21 12773.69 13672.41 25586.32 23957.93 19893.81 14469.18 18575.65 27590.11 191
NR-MVSNet80.23 14579.38 14382.78 17887.80 19263.34 22686.31 19291.09 13279.01 2772.17 25889.07 15967.20 9692.81 19166.08 21575.65 27592.20 123
v1079.74 15478.67 15782.97 16884.06 25864.95 19387.88 14990.62 14073.11 14775.11 22786.56 23261.46 16694.05 13273.68 14275.55 27789.90 205
IB-MVS68.01 1575.85 23773.36 24983.31 14884.76 24766.03 16983.38 25985.06 25970.21 19469.40 28881.05 30845.76 30594.66 11165.10 22375.49 27889.25 222
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
h-mvs3383.15 8782.19 9586.02 7390.56 10270.85 7888.15 14089.16 18476.02 8584.67 6391.39 10261.54 16395.50 7082.71 6775.48 27991.72 137
c3_l78.75 17977.91 17681.26 21082.89 28661.56 25384.09 24889.13 18769.97 19775.56 21084.29 27266.36 10392.09 21573.47 14775.48 27990.12 190
V4279.38 16678.24 17082.83 17281.10 31765.50 18385.55 21389.82 16371.57 17078.21 15486.12 24260.66 18293.18 17575.64 12875.46 28189.81 210
cl____77.72 20676.76 20680.58 22582.49 29560.48 26683.09 26387.87 22069.22 21374.38 23885.22 26062.10 15691.53 23171.09 16575.41 28289.73 213
DIV-MVS_self_test77.72 20676.76 20680.58 22582.48 29660.48 26683.09 26387.86 22169.22 21374.38 23885.24 25962.10 15691.53 23171.09 16575.40 28389.74 212
v879.97 15179.02 15382.80 17584.09 25764.50 20187.96 14390.29 15374.13 12975.24 22486.81 21762.88 14393.89 14274.39 13775.40 28390.00 199
Baseline_NR-MVSNet78.15 19578.33 16877.61 27685.79 23056.21 31786.78 17985.76 25373.60 13877.93 16187.57 19765.02 11888.99 27867.14 20775.33 28587.63 263
RRT_test8_iter0578.38 18877.40 19181.34 20886.00 22858.86 27886.55 18791.26 12572.13 16275.91 20487.42 20244.97 30993.73 15177.02 11775.30 28691.45 146
pmmvs571.55 27570.20 27875.61 29477.83 34256.39 31381.74 27680.89 30857.76 33167.46 30184.49 26949.26 28185.32 31257.08 29075.29 28785.11 311
EPMVS69.02 29468.16 28971.59 32079.61 33449.80 35577.40 31866.93 36262.82 29370.01 27979.05 32545.79 30477.86 34756.58 29375.26 28887.13 279
TranMVSNet+NR-MVSNet80.84 12680.31 12582.42 18587.85 19062.33 24287.74 15291.33 12380.55 1177.99 16089.86 13565.23 11692.62 19267.05 20875.24 28992.30 119
tfpnnormal74.39 24873.16 25178.08 26886.10 22758.05 28684.65 23387.53 22770.32 19171.22 26785.63 25154.97 21889.86 26343.03 35075.02 29086.32 292
COLMAP_ROBcopyleft66.92 1773.01 26570.41 27680.81 22187.13 21465.63 18088.30 13284.19 27262.96 29063.80 33387.69 19438.04 34292.56 19546.66 33874.91 29184.24 319
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PatchT68.46 30067.85 29470.29 32880.70 32043.93 36372.47 33774.88 34460.15 31370.55 27076.57 34249.94 27281.59 33150.58 31574.83 29285.34 306
pmmvs474.03 25471.91 26080.39 22881.96 30268.32 13181.45 28082.14 29959.32 32069.87 28485.13 26252.40 24088.13 29160.21 26174.74 29384.73 315
ITE_SJBPF78.22 26681.77 30460.57 26483.30 28569.25 21267.54 30087.20 20936.33 34787.28 29954.34 30174.62 29486.80 285
test0.0.03 168.00 30167.69 29868.90 33377.55 34347.43 35775.70 32772.95 35166.66 24666.56 31182.29 29948.06 28875.87 35444.97 34774.51 29583.41 326
test_040272.79 26870.44 27579.84 24088.13 18165.99 17185.93 20284.29 26965.57 26167.40 30385.49 25446.92 29592.61 19335.88 35974.38 29680.94 343
CP-MVSNet78.22 19178.34 16777.84 27187.83 19154.54 32787.94 14591.17 12977.65 3973.48 24388.49 17462.24 15488.43 28762.19 24374.07 29790.55 174
FMVSNet569.50 29167.96 29274.15 30982.97 28455.35 32380.01 29482.12 30062.56 29663.02 33481.53 30536.92 34581.92 33048.42 32874.06 29885.17 310
MVS-HIRNet59.14 32357.67 32663.57 34181.65 30543.50 36471.73 33965.06 36539.59 36151.43 35957.73 36138.34 34082.58 32939.53 35673.95 29964.62 360
tpmrst72.39 27072.13 25973.18 31680.54 32249.91 35379.91 29679.08 32763.11 28771.69 26379.95 32055.32 21682.77 32865.66 21973.89 30086.87 283
PS-CasMVS78.01 20078.09 17277.77 27387.71 19654.39 32988.02 14191.22 12677.50 4773.26 24588.64 16960.73 17988.41 28861.88 24773.88 30190.53 175
v14878.72 18077.80 18081.47 20382.73 28961.96 24886.30 19388.08 21573.26 14676.18 19985.47 25562.46 14992.36 20371.92 16073.82 30290.09 193
Patchmatch-test64.82 31763.24 31769.57 33079.42 33749.82 35463.49 35969.05 35951.98 35259.95 34580.13 31850.91 26070.98 36340.66 35573.57 30387.90 258
WR-MVS_H78.51 18578.49 16178.56 26188.02 18656.38 31488.43 12392.67 6777.14 5673.89 24187.55 19866.25 10589.24 27458.92 27273.55 30490.06 197
AUN-MVS79.21 16977.60 18884.05 12688.71 16567.61 14585.84 20687.26 23369.08 21877.23 17588.14 18853.20 23693.47 16275.50 13273.45 30591.06 155
hse-mvs281.72 10980.94 11584.07 12488.72 16467.68 14485.87 20487.26 23376.02 8584.67 6388.22 18361.54 16393.48 16182.71 6773.44 30691.06 155
testgi66.67 30866.53 30667.08 33975.62 35141.69 36675.93 32376.50 34066.11 25365.20 32586.59 22935.72 34974.71 35843.71 34873.38 30784.84 313
Anonymous2024052168.80 29667.22 30273.55 31174.33 35554.11 33083.18 26185.61 25458.15 32861.68 33980.94 31130.71 35881.27 33457.00 29173.34 30885.28 307
pm-mvs177.25 21676.68 21078.93 25684.22 25558.62 28186.41 18988.36 21071.37 17373.31 24488.01 19061.22 17389.15 27664.24 22873.01 30989.03 229
eth_miper_zixun_eth77.92 20276.69 20981.61 20183.00 28261.98 24783.15 26289.20 18369.52 20774.86 23384.35 27161.76 15992.56 19571.50 16372.89 31090.28 184
miper_lstm_enhance74.11 25273.11 25277.13 28480.11 32659.62 27372.23 33886.92 23966.76 24470.40 27382.92 28956.93 21182.92 32769.06 18772.63 31188.87 237
tpmvs71.09 27869.29 28176.49 28882.04 30156.04 31878.92 30681.37 30764.05 28067.18 30578.28 33349.74 27589.77 26449.67 32472.37 31283.67 324
PEN-MVS77.73 20577.69 18677.84 27187.07 21553.91 33287.91 14791.18 12877.56 4473.14 24788.82 16561.23 17289.17 27559.95 26272.37 31290.43 178
DSMNet-mixed57.77 32556.90 32760.38 34367.70 36635.61 36969.18 34853.97 37132.30 36657.49 35179.88 32140.39 33468.57 36538.78 35772.37 31276.97 353
IterMVS-SCA-FT75.43 24273.87 24580.11 23582.69 29064.85 19481.57 27983.47 28369.16 21670.49 27284.15 27451.95 24988.15 29069.23 18472.14 31587.34 271
tpm cat170.57 28268.31 28777.35 28082.41 29757.95 29078.08 31380.22 32052.04 35168.54 29577.66 33852.00 24887.84 29451.77 31072.07 31686.25 293
RPSCF73.23 26371.46 26478.54 26282.50 29459.85 27182.18 27282.84 29458.96 32371.15 26889.41 15445.48 30884.77 31658.82 27471.83 31791.02 159
IterMVS74.29 24972.94 25378.35 26581.53 30863.49 22281.58 27882.49 29668.06 23569.99 28183.69 28251.66 25585.54 30965.85 21771.64 31886.01 300
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
AllTest70.96 27968.09 29179.58 24785.15 24163.62 21684.58 23579.83 32262.31 29860.32 34386.73 21832.02 35588.96 28150.28 31971.57 31986.15 296
TestCases79.58 24785.15 24163.62 21679.83 32262.31 29860.32 34386.73 21832.02 35588.96 28150.28 31971.57 31986.15 296
baseline176.98 22076.75 20877.66 27488.13 18155.66 32285.12 22181.89 30173.04 14976.79 18388.90 16262.43 15087.78 29563.30 23471.18 32189.55 217
Patchmtry70.74 28069.16 28275.49 29780.72 31954.07 33174.94 33380.30 31858.34 32770.01 27981.19 30652.50 23886.54 30253.37 30571.09 32285.87 303
DTE-MVSNet76.99 21976.80 20477.54 27886.24 22553.06 34087.52 15690.66 13977.08 5972.50 25388.67 16860.48 18589.52 26957.33 28870.74 32390.05 198
MIMVSNet168.58 29866.78 30573.98 31080.07 32751.82 34380.77 28484.37 26664.40 27459.75 34682.16 30136.47 34683.63 32342.73 35170.33 32486.48 291
pmmvs674.69 24773.39 24878.61 26081.38 31157.48 29886.64 18387.95 21864.99 26970.18 27686.61 22850.43 26789.52 26962.12 24570.18 32588.83 239
TinyColmap67.30 30564.81 30974.76 30481.92 30356.68 30980.29 29281.49 30660.33 31056.27 35583.22 28724.77 36187.66 29645.52 34469.47 32679.95 347
OurMVSNet-221017-074.26 25072.42 25779.80 24183.76 26459.59 27485.92 20386.64 24166.39 25166.96 30687.58 19639.46 33591.60 22865.76 21869.27 32788.22 252
JIA-IIPM66.32 31162.82 32176.82 28677.09 34661.72 25265.34 35675.38 34258.04 33064.51 32762.32 35842.05 32786.51 30351.45 31369.22 32882.21 336
ADS-MVSNet266.20 31463.33 31674.82 30379.92 32858.75 28067.55 35375.19 34353.37 34865.25 32375.86 34442.32 32380.53 33741.57 35368.91 32985.18 308
ADS-MVSNet64.36 31862.88 32068.78 33579.92 32847.17 35867.55 35371.18 35253.37 34865.25 32375.86 34442.32 32373.99 36141.57 35368.91 32985.18 308
test20.0367.45 30366.95 30468.94 33275.48 35244.84 36277.50 31777.67 33266.66 24663.01 33583.80 27947.02 29478.40 34342.53 35268.86 33183.58 325
EU-MVSNet68.53 29967.61 29971.31 32578.51 34147.01 35984.47 23684.27 27042.27 35766.44 31684.79 26740.44 33383.76 32158.76 27568.54 33283.17 328
our_test_369.14 29367.00 30375.57 29579.80 33158.80 27977.96 31477.81 33159.55 31862.90 33778.25 33447.43 29183.97 32051.71 31167.58 33383.93 323
ppachtmachnet_test70.04 28867.34 30178.14 26779.80 33161.13 25679.19 30380.59 31359.16 32265.27 32279.29 32446.75 29787.29 29849.33 32566.72 33486.00 302
LF4IMVS64.02 31962.19 32269.50 33170.90 36453.29 33976.13 32177.18 33752.65 35058.59 34780.98 31023.55 36376.52 35153.06 30766.66 33578.68 350
Patchmatch-RL test70.24 28667.78 29777.61 27677.43 34459.57 27571.16 34070.33 35362.94 29168.65 29372.77 35150.62 26485.49 31069.58 18266.58 33687.77 261
dp66.80 30665.43 30870.90 32779.74 33348.82 35675.12 33174.77 34559.61 31764.08 33077.23 33942.89 31980.72 33648.86 32766.58 33683.16 329
CL-MVSNet_self_test72.37 27271.46 26475.09 30079.49 33653.53 33480.76 28585.01 26169.12 21770.51 27182.05 30257.92 19984.13 31952.27 30966.00 33887.60 264
FPMVS53.68 32751.64 33059.81 34465.08 36751.03 34969.48 34769.58 35741.46 35840.67 36272.32 35216.46 36970.00 36424.24 36665.42 33958.40 363
pmmvs-eth3d70.50 28467.83 29578.52 26377.37 34566.18 16881.82 27481.51 30558.90 32463.90 33280.42 31642.69 32186.28 30558.56 27665.30 34083.11 330
N_pmnet52.79 32853.26 32951.40 34878.99 3407.68 37969.52 3463.89 37951.63 35357.01 35274.98 34840.83 33265.96 36637.78 35864.67 34180.56 346
PM-MVS66.41 31064.14 31273.20 31573.92 35756.45 31178.97 30564.96 36663.88 28464.72 32680.24 31719.84 36683.44 32466.24 21164.52 34279.71 348
KD-MVS_self_test68.81 29567.59 30072.46 31874.29 35645.45 36077.93 31587.00 23763.12 28663.99 33178.99 32942.32 32384.77 31656.55 29464.09 34387.16 278
SixPastTwentyTwo73.37 25971.26 26979.70 24385.08 24557.89 29185.57 20983.56 28071.03 17865.66 31985.88 24542.10 32692.57 19459.11 27063.34 34488.65 245
EGC-MVSNET52.07 32947.05 33367.14 33883.51 26860.71 26280.50 28967.75 3610.07 3740.43 37575.85 34624.26 36281.54 33228.82 36262.25 34559.16 362
TransMVSNet (Re)75.39 24474.56 23677.86 27085.50 23657.10 30286.78 17986.09 25172.17 16071.53 26487.34 20363.01 14289.31 27356.84 29261.83 34687.17 276
MDA-MVSNet_test_wron65.03 31562.92 31871.37 32275.93 34856.73 30669.09 35174.73 34657.28 33654.03 35777.89 33545.88 30274.39 36049.89 32361.55 34782.99 333
YYNet165.03 31562.91 31971.38 32175.85 34956.60 31069.12 35074.66 34857.28 33654.12 35677.87 33645.85 30374.48 35949.95 32261.52 34883.05 331
ambc75.24 29973.16 36150.51 35263.05 36087.47 22964.28 32877.81 33717.80 36789.73 26657.88 28360.64 34985.49 304
TDRefinement67.49 30264.34 31176.92 28573.47 36061.07 25784.86 22782.98 29259.77 31658.30 34985.13 26226.06 36087.89 29347.92 33560.59 35081.81 339
Gipumacopyleft45.18 33241.86 33555.16 34677.03 34751.52 34632.50 36780.52 31432.46 36527.12 36635.02 3679.52 37475.50 35522.31 36760.21 35138.45 366
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new-patchmatchnet61.73 32161.73 32361.70 34272.74 36324.50 37669.16 34978.03 33061.40 30456.72 35375.53 34738.42 33976.48 35245.95 34357.67 35284.13 321
MDA-MVSNet-bldmvs66.68 30763.66 31575.75 29279.28 33860.56 26573.92 33578.35 32964.43 27350.13 36079.87 32244.02 31583.67 32246.10 34256.86 35383.03 332
new_pmnet50.91 33050.29 33152.78 34768.58 36534.94 37163.71 35856.63 37039.73 36044.95 36165.47 35621.93 36458.48 36734.98 36056.62 35464.92 359
PMVScopyleft37.38 2244.16 33340.28 33655.82 34540.82 37642.54 36565.12 35763.99 36734.43 36424.48 36757.12 3633.92 37776.17 35317.10 36955.52 35548.75 364
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
pmmvs357.79 32454.26 32868.37 33664.02 36856.72 30775.12 33165.17 36440.20 35952.93 35869.86 35520.36 36575.48 35645.45 34555.25 35672.90 356
UnsupCasMVSNet_eth67.33 30465.99 30771.37 32273.48 35951.47 34775.16 32985.19 25865.20 26460.78 34280.93 31342.35 32277.20 34957.12 28953.69 35785.44 305
K. test v371.19 27768.51 28579.21 25383.04 28157.78 29484.35 24376.91 33972.90 15262.99 33682.86 29139.27 33691.09 24661.65 25052.66 35888.75 242
UnsupCasMVSNet_bld63.70 32061.53 32470.21 32973.69 35851.39 34872.82 33681.89 30155.63 34357.81 35071.80 35338.67 33878.61 34249.26 32652.21 35980.63 344
LCM-MVSNet54.25 32649.68 33267.97 33753.73 37145.28 36166.85 35580.78 31035.96 36339.45 36362.23 3598.70 37578.06 34648.24 33251.20 36080.57 345
KD-MVS_2432*160066.22 31263.89 31373.21 31375.47 35353.42 33670.76 34384.35 26764.10 27866.52 31378.52 33034.55 35284.98 31350.40 31750.33 36181.23 341
miper_refine_blended66.22 31263.89 31373.21 31375.47 35353.42 33670.76 34384.35 26764.10 27866.52 31378.52 33034.55 35284.98 31350.40 31750.33 36181.23 341
lessismore_v078.97 25581.01 31857.15 30165.99 36361.16 34182.82 29239.12 33791.34 23759.67 26446.92 36388.43 250
PVSNet_057.27 2061.67 32259.27 32568.85 33479.61 33457.44 29968.01 35273.44 35055.93 34258.54 34870.41 35444.58 31177.55 34847.01 33735.91 36471.55 357
test_method31.52 33629.28 34038.23 35127.03 3786.50 38020.94 36962.21 3694.05 37222.35 37052.50 36413.33 37047.58 37127.04 36534.04 36560.62 361
PMMVS240.82 33438.86 33746.69 34953.84 37016.45 37748.61 36449.92 37237.49 36231.67 36460.97 3608.14 37656.42 36828.42 36330.72 36667.19 358
DeepMVS_CXcopyleft27.40 35440.17 37726.90 37424.59 37817.44 37023.95 36848.61 3659.77 37326.48 37318.06 36824.47 36728.83 367
MVEpermissive26.22 2330.37 33825.89 34243.81 35044.55 37535.46 37028.87 36839.07 37518.20 36918.58 37140.18 3662.68 37847.37 37217.07 37023.78 36848.60 365
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN31.77 33530.64 33835.15 35252.87 37227.67 37357.09 36247.86 37324.64 36716.40 37233.05 36811.23 37254.90 36914.46 37118.15 36922.87 368
EMVS30.81 33729.65 33934.27 35350.96 37325.95 37556.58 36346.80 37424.01 36815.53 37330.68 36912.47 37154.43 37012.81 37217.05 37022.43 369
ANet_high50.57 33146.10 33463.99 34048.67 37439.13 36770.99 34280.85 30961.39 30531.18 36557.70 36217.02 36873.65 36231.22 36115.89 37179.18 349
tmp_tt18.61 34021.40 34310.23 3564.82 37910.11 37834.70 36630.74 3771.48 37323.91 36926.07 37028.42 35913.41 37527.12 36415.35 3727.17 370
wuyk23d16.82 34115.94 34419.46 35558.74 36931.45 37239.22 3653.74 3806.84 3716.04 3742.70 3741.27 37924.29 37410.54 37314.40 3732.63 371
testmvs6.04 3448.02 3470.10 3580.08 3800.03 38269.74 3450.04 3810.05 3750.31 3761.68 3750.02 3810.04 3760.24 3740.02 3740.25 373
test1236.12 3438.11 3460.14 3570.06 3810.09 38171.05 3410.03 3820.04 3760.25 3771.30 3760.05 3800.03 3770.21 3750.01 3750.29 372
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
cdsmvs_eth3d_5k19.96 33926.61 3410.00 3590.00 3820.00 3830.00 37089.26 1800.00 3770.00 37888.61 17061.62 1620.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas5.26 3457.02 3480.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37763.15 1380.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs-re7.23 3429.64 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37886.72 2200.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
FOURS195.00 1072.39 4295.06 193.84 1874.49 11891.30 15
test_one_060195.07 771.46 6194.14 778.27 3592.05 1195.74 680.83 11
eth-test20.00 382
eth-test0.00 382
test_241102_ONE95.30 270.98 7094.06 1277.17 5593.10 195.39 1182.99 197.27 10
save fliter93.80 4472.35 4590.47 6691.17 12974.31 122
test072695.27 571.25 6393.60 694.11 877.33 4992.81 395.79 380.98 9
GSMVS88.96 234
test_part295.06 872.65 3391.80 13
sam_mvs151.32 25788.96 234
sam_mvs50.01 270
MTGPAbinary92.02 94
test_post178.90 3075.43 37348.81 28785.44 31159.25 268
test_post5.46 37250.36 26884.24 318
patchmatchnet-post74.00 34951.12 25988.60 285
MTMP92.18 3332.83 376
gm-plane-assit81.40 31053.83 33362.72 29580.94 31192.39 20163.40 233
TEST993.26 5672.96 2688.75 11391.89 10368.44 23285.00 5493.10 6574.36 3395.41 77
test_893.13 5872.57 3688.68 11891.84 10668.69 22884.87 6093.10 6574.43 3095.16 89
agg_prior92.85 6671.94 5491.78 10984.41 6994.93 98
test_prior472.60 3589.01 102
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7193.91 52
旧先验286.56 18658.10 32987.04 3588.98 27974.07 140
新几何286.29 194
无先验87.48 15788.98 19260.00 31494.12 12967.28 20388.97 233
原ACMM286.86 175
testdata291.01 24862.37 242
segment_acmp73.08 43
testdata184.14 24675.71 90
plane_prior790.08 11268.51 129
plane_prior689.84 12068.70 12460.42 186
plane_prior491.00 114
plane_prior368.60 12778.44 3178.92 139
plane_prior291.25 4979.12 24
plane_prior189.90 119
n20.00 383
nn0.00 383
door-mid69.98 355
test1192.23 86
door69.44 358
HQP5-MVS66.98 156
HQP-NCC89.33 13489.17 9576.41 7477.23 175
ACMP_Plane89.33 13489.17 9576.41 7477.23 175
BP-MVS77.47 111
HQP4-MVS77.24 17495.11 9191.03 157
HQP2-MVS60.17 189
NP-MVS89.62 12268.32 13190.24 125
MDTV_nov1_ep13_2view37.79 36875.16 32955.10 34466.53 31249.34 27953.98 30287.94 257
Test By Simon64.33 123