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 bysorted bysort bysort bysort by
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 29
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 29
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
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 39
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
test_241102_TWO94.06 1277.24 5192.78 495.72 881.26 897.44 589.07 996.58 694.26 38
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_THIRD78.38 3392.12 995.78 481.46 797.40 789.42 496.57 794.67 21
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
test_241102_ONE95.30 270.98 7094.06 1277.17 5593.10 195.39 1182.99 197.27 10
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
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
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.
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
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
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
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5192.83 6181.50 685.79 4593.47 5973.02 4597.00 1784.90 3394.94 4494.10 42
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6585.24 5194.32 3571.76 5496.93 1885.53 2995.79 2594.32 35
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5396.48 894.88 9
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
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
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
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
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
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
ZD-MVS94.38 2772.22 4892.67 6770.98 17987.75 3194.07 4574.01 3896.70 2684.66 3994.84 48
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
test1286.80 5592.63 7370.70 8191.79 10882.71 9671.67 5596.16 4794.50 5693.54 76
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
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
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
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
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
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
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
PC_three_145268.21 23492.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 5
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
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
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
9.1488.26 1592.84 6891.52 4594.75 173.93 13288.57 2494.67 1975.57 2395.79 5986.77 2395.76 28
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
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
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
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
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
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
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
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
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
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
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
test_prior386.73 3986.86 3986.33 6392.61 7469.59 10188.85 10892.97 5475.41 9684.91 5693.54 5474.28 3495.48 7183.31 5595.86 2293.91 52
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7193.91 52
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
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
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
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
TEST993.26 5672.96 2688.75 11391.89 10368.44 23285.00 5493.10 6574.36 3395.41 77
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
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
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
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
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
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
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
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
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
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
test_893.13 5872.57 3688.68 11891.84 10668.69 22884.87 6093.10 6574.43 3095.16 89
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
HQP4-MVS77.24 17495.11 9191.03 157
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
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
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
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
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
Regformer-186.41 4786.33 4486.64 5889.33 13470.93 7588.43 12391.39 12282.14 386.65 3890.09 12974.39 3295.01 9783.97 5190.63 10193.97 50
agg_prior186.22 4986.09 5286.62 5992.85 6671.94 5488.59 12091.78 10968.96 22384.41 6993.18 6474.94 2694.93 9884.75 3895.33 3893.01 96
agg_prior92.85 6671.94 5491.78 10984.41 6994.93 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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).
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
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
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
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
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
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
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
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
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
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
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
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
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
无先验87.48 15788.98 19260.00 31494.12 12967.28 20388.97 233
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
gm-plane-assit81.40 31053.83 33362.72 29580.94 31192.39 20163.40 233
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.
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
lessismore_v078.97 25581.01 31857.15 30165.99 36361.16 34182.82 29239.12 33791.34 23759.67 26446.92 36388.43 250
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
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
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
GBi-Net78.40 18677.40 19181.40 20587.60 19963.01 23488.39 12789.28 17771.63 16775.34 21987.28 20454.80 21991.11 24162.72 23779.57 22990.09 193
test178.40 18677.40 19181.40 20587.60 19963.01 23488.39 12789.28 17771.63 16775.34 21987.28 20454.80 21991.11 24162.72 23779.57 22990.09 193
FMVSNet177.44 21176.12 21881.40 20586.81 21963.01 23488.39 12789.28 17770.49 18974.39 23787.28 20449.06 28391.11 24160.91 25678.52 23990.09 193
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
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
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
testdata291.01 24862.37 242
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
旧先验286.56 18658.10 32987.04 3588.98 27974.07 140
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
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
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
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
patchmatchnet-post74.00 34951.12 25988.60 285
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
CP-MVSNet78.22 19178.34 16777.84 27187.83 19154.54 32787.94 14591.17 12977.65 3973.48 24388.49 17462.24 15488.43 28762.19 24374.07 29790.55 174
PS-CasMVS78.01 20078.09 17277.77 27387.71 19654.39 32988.02 14191.22 12677.50 4773.26 24588.64 16960.73 17988.41 28861.88 24773.88 30190.53 175
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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.
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
test_post178.90 3075.43 37348.81 28785.44 31159.25 268
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
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
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
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
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
test_post5.46 37250.36 26884.24 318
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
YYNet165.03 31562.91 31971.38 32175.85 34956.60 31069.12 35074.66 34857.28 33654.12 35677.87 33645.85 30374.48 35949.95 32261.52 34883.05 331
MDA-MVSNet_test_wron65.03 31562.92 31871.37 32275.93 34856.73 30669.09 35174.73 34657.28 33654.03 35777.89 33545.88 30274.39 36049.89 32361.55 34782.99 333
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
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
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
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
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
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
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
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
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
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
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)
DeepMVS_CXcopyleft27.40 35440.17 37726.90 37424.59 37817.44 37023.95 36848.61 3659.77 37326.48 37318.06 36824.47 36728.83 367
wuyk23d16.82 34115.94 34419.46 35558.74 36931.45 37239.22 3653.74 3806.84 3716.04 3742.70 3741.27 37924.29 37410.54 37314.40 3732.63 371
tmp_tt18.61 34021.40 34310.23 3564.82 37910.11 37834.70 36630.74 3771.48 37323.91 36926.07 37028.42 35913.41 37527.12 36415.35 3727.17 370
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
RE-MVS-def85.48 5793.06 6270.63 8291.88 3792.27 8373.53 14185.69 4694.45 2863.87 12782.75 6591.87 8692.50 111
IU-MVS95.30 271.25 6392.95 5666.81 24292.39 688.94 1196.63 494.85 14
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
MTMP92.18 3332.83 376
test9_res84.90 3395.70 3192.87 101
agg_prior282.91 6395.45 3392.70 104
test_prior472.60 3589.01 102
test_prior288.85 10875.41 9684.91 5693.54 5474.28 3483.31 5595.86 22
新几何286.29 194
旧先验191.96 8265.79 17786.37 24693.08 6969.31 7992.74 7588.74 243
原ACMM286.86 175
test22291.50 8868.26 13384.16 24583.20 28954.63 34679.74 12991.63 9458.97 19391.42 9286.77 286
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
plane_prior68.71 12290.38 7077.62 4086.16 158
n20.00 383
nn0.00 383
door-mid69.98 355
test1192.23 86
door69.44 358
HQP5-MVS66.98 156
HQP-NCC89.33 13489.17 9576.41 7477.23 175
ACMP_Plane89.33 13489.17 9576.41 7477.23 175
BP-MVS77.47 111
HQP3-MVS92.19 8985.99 161
HQP2-MVS60.17 189
NP-MVS89.62 12268.32 13190.24 125
MDTV_nov1_ep13_2view37.79 36875.16 32955.10 34466.53 31249.34 27953.98 30287.94 257
ACMMP++_ref81.95 205
ACMMP++81.25 210
Test By Simon64.33 123