This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
APDe-MVS89.15 189.63 187.73 1894.49 871.69 3893.83 293.96 275.70 6891.06 196.03 176.84 297.03 389.09 195.65 1294.47 10
SD-MVS88.06 688.50 686.71 3692.60 4672.71 2391.81 2293.19 1777.87 2990.32 294.00 2374.83 993.78 10887.63 594.27 3993.65 38
DeepPCF-MVS80.84 188.10 588.56 586.73 3592.24 4869.03 7489.57 5893.39 1277.53 3689.79 394.12 2078.98 196.58 1785.66 1095.72 894.58 7
TSAR-MVS + MP.88.02 988.11 787.72 2093.68 2472.13 3591.41 2592.35 4474.62 8388.90 493.85 2575.75 796.00 3087.80 394.63 3095.04 2
APD-MVScopyleft87.44 1387.52 1187.19 2794.24 1572.39 3191.86 2192.83 3273.01 11088.58 594.52 673.36 2096.49 1884.26 2495.01 2292.70 65
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMMP_Plus88.05 888.08 887.94 1093.70 2273.05 1790.86 3293.59 776.27 6288.14 695.09 271.06 3596.67 1087.67 496.37 294.09 19
SteuartSystems-ACMMP88.72 488.86 488.32 492.14 5072.96 1893.73 393.67 680.19 1288.10 794.80 373.76 1997.11 187.51 695.82 794.90 4
Skip Steuart: Steuart Systems R&D Blog.
CNVR-MVS88.93 389.13 388.33 394.77 273.82 690.51 3893.00 2380.90 888.06 894.06 2276.43 396.84 588.48 295.99 394.34 13
canonicalmvs85.91 3585.87 3486.04 4989.84 7969.44 7290.45 4293.00 2376.70 5388.01 991.23 6973.28 2193.91 9981.50 4388.80 8194.77 5
HPM-MVS++89.02 289.15 288.63 195.01 176.03 192.38 1392.85 3180.26 1187.78 1094.27 1575.89 696.81 687.45 796.44 193.05 58
alignmvs85.48 4085.32 4085.96 5089.51 8469.47 7089.74 5592.47 3876.17 6387.73 1191.46 6770.32 3993.78 10881.51 4288.95 7894.63 6
旧先验286.56 15458.10 26487.04 1288.98 22774.07 106
Regformer-286.63 2786.53 2586.95 3289.33 8871.24 4188.43 8792.05 5382.50 186.88 1390.09 9074.45 1195.61 3584.38 2290.63 6494.01 24
Regformer-186.41 3086.33 2686.64 3789.33 8870.93 4688.43 8791.39 8382.14 386.65 1490.09 9074.39 1495.01 6083.97 2690.63 6493.97 26
APD-MVS_3200maxsize85.97 3485.88 3386.22 4592.69 4269.53 6891.93 2092.99 2573.54 9885.94 1594.51 965.80 7695.61 3583.04 3492.51 4993.53 44
MPTG87.53 1287.41 1387.90 1494.18 1874.25 290.23 4692.02 5479.45 1685.88 1694.80 368.07 5596.21 2486.69 895.34 1693.23 50
MTAPA87.23 1887.00 1887.90 1494.18 1874.25 286.58 15392.02 5479.45 1685.88 1694.80 368.07 5596.21 2486.69 895.34 1693.23 50
TSAR-MVS + GP.85.71 3885.33 3986.84 3391.34 5872.50 2889.07 6987.28 19476.41 5685.80 1890.22 8874.15 1895.37 4881.82 4191.88 5192.65 68
NCCC88.06 688.01 988.24 594.41 1273.62 791.22 2992.83 3281.50 585.79 1993.47 3173.02 2397.00 484.90 1594.94 2394.10 18
testdata79.97 19790.90 6464.21 17484.71 21859.27 25885.40 2092.91 4262.02 13089.08 22568.95 14791.37 5786.63 233
Regformer-485.68 3985.45 3786.35 4188.95 10169.67 6588.29 9691.29 8581.73 485.36 2190.01 9272.62 2695.35 4983.28 3087.57 9694.03 22
abl_685.23 4584.95 4586.07 4892.23 4970.48 5390.80 3492.08 5273.51 9985.26 2294.16 1962.75 11095.92 3282.46 4091.30 5891.81 90
PHI-MVS86.43 2886.17 3187.24 2690.88 6570.96 4492.27 1694.07 172.45 12185.22 2391.90 5569.47 4896.42 1983.28 3095.94 494.35 12
Regformer-385.23 4585.07 4385.70 5288.95 10169.01 7688.29 9689.91 13080.95 785.01 2490.01 9272.45 2794.19 8682.50 3987.57 9693.90 29
TEST993.26 3172.96 1888.75 7991.89 6368.44 18185.00 2593.10 3774.36 1595.41 44
train_agg86.43 2886.20 2987.13 2993.26 3172.96 1888.75 7991.89 6368.69 17785.00 2593.10 3774.43 1295.41 4484.97 1395.71 993.02 59
HFP-MVS87.58 1187.47 1287.94 1094.58 573.54 1193.04 593.24 1476.78 4984.91 2794.44 1170.78 3696.61 1384.53 2094.89 2593.66 33
#test#87.33 1787.13 1787.94 1094.58 573.54 1192.34 1493.24 1475.23 7684.91 2794.44 1170.78 3696.61 1383.75 2794.89 2593.66 33
test_prior386.73 2486.86 2386.33 4292.61 4469.59 6688.85 7592.97 2875.41 7284.91 2793.54 2774.28 1695.48 3983.31 2895.86 593.91 27
test_prior288.85 7575.41 7284.91 2793.54 2774.28 1683.31 2895.86 5
test_893.13 3372.57 2788.68 8291.84 6668.69 17784.87 3193.10 3774.43 1295.16 52
MCST-MVS87.37 1687.25 1487.73 1894.53 772.46 3089.82 5293.82 473.07 10984.86 3292.89 4376.22 496.33 2084.89 1795.13 2194.40 11
ACMMPR87.44 1387.23 1588.08 794.64 373.59 893.04 593.20 1676.78 4984.66 3394.52 668.81 5396.65 1184.53 2094.90 2494.00 25
CDPH-MVS85.76 3785.29 4287.17 2893.49 2771.08 4288.58 8592.42 4268.32 18284.61 3493.48 2972.32 2896.15 2779.00 5695.43 1494.28 15
UA-Net85.08 4884.96 4485.45 5392.07 5168.07 9989.78 5490.86 9582.48 284.60 3593.20 3569.35 4995.22 5071.39 13490.88 6293.07 57
region2R87.42 1587.20 1688.09 694.63 473.55 993.03 793.12 1976.73 5284.45 3694.52 669.09 5196.70 984.37 2394.83 2794.03 22
agg_prior186.22 3286.09 3286.62 3892.85 3971.94 3688.59 8491.78 6968.96 17484.41 3793.18 3674.94 894.93 6184.75 1995.33 1893.01 61
agg_prior92.85 3971.94 3691.78 6984.41 3794.93 61
VDD-MVS83.01 6582.36 6684.96 6491.02 6266.40 12288.91 7188.11 18177.57 3284.39 3993.29 3452.19 20893.91 9977.05 7788.70 8394.57 8
agg_prior386.16 3385.85 3587.10 3093.31 2872.86 2288.77 7891.68 7368.29 18384.26 4092.83 4572.83 2495.42 4384.97 1395.71 993.02 59
MSLP-MVS++85.43 4285.76 3684.45 7691.93 5370.24 5490.71 3592.86 3077.46 3884.22 4192.81 4867.16 6592.94 14680.36 5094.35 3790.16 140
DeepC-MVS_fast79.65 386.91 2386.62 2487.76 1793.52 2672.37 3291.26 2693.04 2076.62 5484.22 4193.36 3371.44 3396.76 780.82 4795.33 1894.16 16
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
VNet82.21 7282.41 6381.62 16990.82 6660.93 21384.47 19789.78 13276.36 6084.07 4391.88 5664.71 8390.26 20770.68 13588.89 7993.66 33
PGM-MVS86.68 2586.27 2887.90 1494.22 1673.38 1490.22 4793.04 2075.53 7083.86 4494.42 1367.87 5996.64 1282.70 3794.57 3193.66 33
MP-MVScopyleft87.71 1087.64 1087.93 1394.36 1473.88 492.71 1292.65 3777.57 3283.84 4594.40 1472.24 2996.28 2285.65 1195.30 2093.62 40
HPM-MVS87.11 2086.98 1987.50 2493.88 2172.16 3492.19 1793.33 1376.07 6583.81 4693.95 2469.77 4596.01 2985.15 1294.66 2994.32 14
CP-MVS87.11 2086.92 2087.68 2394.20 1773.86 593.98 192.82 3476.62 5483.68 4794.46 1067.93 5795.95 3184.20 2594.39 3593.23 50
XVS87.18 1986.91 2188.00 894.42 1073.33 1592.78 892.99 2579.14 1883.67 4894.17 1867.45 6296.60 1583.06 3294.50 3294.07 20
X-MVStestdata80.37 11177.83 14588.00 894.42 1073.33 1592.78 892.99 2579.14 1883.67 4812.47 32067.45 6296.60 1583.06 3294.50 3294.07 20
DELS-MVS85.41 4385.30 4185.77 5188.49 11767.93 10185.52 18293.44 1078.70 2583.63 5089.03 11374.57 1095.71 3480.26 5294.04 4093.66 33
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
LFMVS81.82 7981.23 7983.57 10391.89 5463.43 18989.84 5181.85 24577.04 4483.21 5193.10 3752.26 20793.43 12871.98 12889.95 7293.85 30
VDDNet81.52 8480.67 8684.05 8890.44 6964.13 17689.73 5685.91 21071.11 13883.18 5293.48 2950.54 22093.49 12373.40 11288.25 9294.54 9
CSCG86.41 3086.19 3087.07 3192.91 3872.48 2990.81 3393.56 873.95 9183.16 5391.07 7275.94 595.19 5179.94 5494.38 3693.55 42
nrg03083.88 5083.53 5084.96 6486.77 16069.28 7390.46 4192.67 3574.79 8182.95 5491.33 6872.70 2593.09 14180.79 4879.28 17892.50 71
EI-MVSNet-Vis-set84.19 4983.81 4985.31 5588.18 12667.85 10287.66 11189.73 13480.05 1482.95 5489.59 9970.74 3894.82 6880.66 4984.72 12893.28 49
MVS_Test83.15 6183.06 5683.41 10886.86 15763.21 19486.11 16692.00 5774.31 8682.87 5689.44 10770.03 4193.21 13277.39 7388.50 9093.81 32
DeepC-MVS79.81 287.08 2286.88 2287.69 2291.16 6072.32 3390.31 4493.94 377.12 4182.82 5794.23 1772.13 3097.09 284.83 1895.37 1593.65 38
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
mPP-MVS86.67 2686.32 2787.72 2094.41 1273.55 992.74 1092.22 4776.87 4782.81 5894.25 1666.44 6996.24 2382.88 3694.28 3893.38 46
test1286.80 3492.63 4370.70 5191.79 6882.71 5971.67 3196.16 2694.50 3293.54 43
HPM-MVS_fast85.35 4484.95 4586.57 4093.69 2370.58 5292.15 1891.62 7473.89 9282.67 6094.09 2162.60 11795.54 3880.93 4592.93 4493.57 41
Effi-MVS+83.62 5583.08 5585.24 5788.38 12267.45 10788.89 7289.15 15175.50 7182.27 6188.28 13069.61 4694.45 7877.81 6887.84 9493.84 31
EI-MVSNet-UG-set83.81 5183.38 5285.09 6187.87 13467.53 10687.44 12289.66 13579.74 1582.23 6289.41 10870.24 4094.74 7079.95 5383.92 13492.99 62
MVS_111021_HR85.14 4784.75 4786.32 4491.65 5672.70 2485.98 16890.33 11276.11 6482.08 6391.61 6271.36 3494.17 8881.02 4492.58 4892.08 84
xiu_mvs_v1_base_debu80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 21792.85 14878.29 6587.56 9889.06 167
xiu_mvs_v1_base80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 21792.85 14878.29 6587.56 9889.06 167
xiu_mvs_v1_base_debi80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 21792.85 14878.29 6587.56 9889.06 167
新几何183.42 10693.13 3370.71 5085.48 21257.43 27181.80 6791.98 5363.28 9392.27 16564.60 18092.99 4387.27 218
112180.84 9279.77 9884.05 8893.11 3570.78 4984.66 19285.42 21357.37 27281.76 6892.02 5263.41 9194.12 8967.28 15792.93 4487.26 219
MG-MVS83.41 5883.45 5183.28 11192.74 4162.28 20788.17 10089.50 13975.22 7781.49 6992.74 4966.75 6695.11 5472.85 11591.58 5492.45 72
MVSFormer82.85 6682.05 7085.24 5787.35 14770.21 5590.50 3990.38 10768.55 17981.32 7089.47 10261.68 13193.46 12478.98 5790.26 6792.05 85
lupinMVS81.39 8780.27 9384.76 7087.35 14770.21 5585.55 17986.41 20262.85 23081.32 7088.61 12161.68 13192.24 16778.41 6390.26 6791.83 88
xiu_mvs_v2_base81.69 8081.05 8283.60 10189.15 9968.03 10084.46 19990.02 12670.67 14581.30 7286.53 18063.17 9794.19 8675.60 9488.54 8888.57 194
PS-MVSNAJ81.69 8081.02 8383.70 9989.51 8468.21 9784.28 20590.09 12270.79 14281.26 7385.62 19963.15 9894.29 8075.62 9388.87 8088.59 192
原ACMM184.35 7993.01 3768.79 8092.44 3963.96 22281.09 7491.57 6366.06 7395.45 4167.19 15994.82 2888.81 180
jason81.39 8780.29 9284.70 7186.63 16169.90 6285.95 16986.77 19863.24 22481.07 7589.47 10261.08 14592.15 16878.33 6490.07 7192.05 85
jason: jason.
OPM-MVS83.50 5682.95 5885.14 5988.79 10970.95 4589.13 6891.52 7877.55 3580.96 7691.75 5760.71 14994.50 7779.67 5586.51 11289.97 152
Vis-MVSNetpermissive83.46 5782.80 6185.43 5490.25 7268.74 8490.30 4590.13 12176.33 6180.87 7792.89 4361.00 14694.20 8572.45 12290.97 6093.35 48
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
mvs-test182.41 6388.01 13165.80 13288.89 7289.15 15175.14 7980.77 7888.20 13269.61 4694.53 7475.75 8786.14 117
ACMMPcopyleft85.89 3685.39 3887.38 2593.59 2572.63 2592.74 1093.18 1876.78 4980.73 7993.82 2664.33 8496.29 2182.67 3890.69 6393.23 50
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
MVS_111021_LR82.61 6982.11 6884.11 8588.82 10671.58 3985.15 18586.16 20774.69 8280.47 8091.04 7362.29 12590.55 20580.33 5190.08 7090.20 139
VPA-MVSNet80.60 10280.55 8880.76 18688.07 12860.80 21686.86 14391.58 7675.67 6980.24 8189.45 10663.34 9290.25 20870.51 13779.22 17991.23 102
test22291.50 5768.26 9584.16 20783.20 23154.63 28379.74 8291.63 6158.97 16291.42 5686.77 229
OMC-MVS82.69 6781.97 7384.85 6888.75 11167.42 10887.98 10390.87 9474.92 8079.72 8391.65 5962.19 12893.96 9475.26 9886.42 11393.16 55
CPTT-MVS83.73 5283.33 5384.92 6793.28 3070.86 4892.09 1990.38 10768.75 17679.57 8492.83 4560.60 15393.04 14480.92 4691.56 5590.86 110
IS-MVSNet83.15 6182.81 6084.18 8489.94 7763.30 19191.59 2388.46 17879.04 2279.49 8592.16 5065.10 8094.28 8167.71 15391.86 5294.95 3
PS-MVSNAJss82.07 7481.31 7784.34 8086.51 16267.27 11289.27 6191.51 7971.75 12979.37 8690.22 8863.15 9894.27 8277.69 6982.36 15091.49 97
EPP-MVSNet83.40 5983.02 5784.57 7290.13 7364.47 17092.32 1590.73 9674.45 8579.35 8791.10 7069.05 5295.12 5372.78 11687.22 10394.13 17
DP-MVS Recon83.11 6382.09 6986.15 4694.44 970.92 4788.79 7792.20 4870.53 14779.17 8891.03 7564.12 8696.03 2868.39 15290.14 6991.50 96
ab-mvs79.51 12878.97 12381.14 18088.46 11960.91 21483.84 21189.24 14970.36 14979.03 8988.87 11563.23 9690.21 20965.12 17482.57 14892.28 78
PVSNet_Blended_VisFu82.62 6881.83 7484.96 6490.80 6769.76 6488.74 8191.70 7269.39 16178.96 9088.46 12665.47 7794.87 6774.42 10288.57 8690.24 138
HQP_MVS83.64 5483.14 5485.14 5990.08 7468.71 8591.25 2792.44 3979.12 2078.92 9191.00 7660.42 15595.38 4678.71 5986.32 11491.33 99
plane_prior368.60 8978.44 2778.92 91
EI-MVSNet80.52 10579.98 9582.12 15284.28 18563.19 19686.41 15888.95 16474.18 8878.69 9387.54 14666.62 6792.43 15972.57 12180.57 16690.74 114
MVSTER79.01 14077.88 14482.38 14983.07 22564.80 15684.08 21088.95 16469.01 17378.69 9387.17 15854.70 18992.43 15974.69 10180.57 16689.89 154
API-MVS81.99 7681.23 7984.26 8290.94 6370.18 6091.10 3089.32 14471.51 13578.66 9588.28 13065.26 7895.10 5764.74 17991.23 5987.51 213
UniMVSNet (Re)81.60 8381.11 8183.09 11988.38 12264.41 17287.60 11293.02 2278.42 2878.56 9688.16 13369.78 4493.26 13169.58 14476.49 20991.60 92
MAR-MVS81.84 7880.70 8585.27 5691.32 5971.53 4089.82 5290.92 9369.77 15678.50 9786.21 18762.36 12494.52 7665.36 17392.05 5089.77 159
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
Fast-Effi-MVS+80.81 9579.92 9683.47 10488.85 10364.51 16485.53 18189.39 14270.79 14278.49 9885.06 21067.54 6193.58 11967.03 16286.58 11092.32 76
FIs82.07 7482.42 6281.04 18288.80 10858.34 23388.26 9893.49 976.93 4678.47 9991.04 7369.92 4392.34 16469.87 14284.97 12492.44 73
v1neww80.40 10779.54 10482.98 12684.10 19664.51 16487.57 11490.22 11673.25 10278.47 9986.65 17262.83 10693.86 10275.72 8977.02 19690.58 125
v7new80.40 10779.54 10482.98 12684.10 19664.51 16487.57 11490.22 11673.25 10278.47 9986.65 17262.83 10693.86 10275.72 8977.02 19690.58 125
v680.40 10779.54 10482.98 12684.09 19864.50 16887.57 11490.22 11673.25 10278.47 9986.63 17462.84 10593.86 10275.73 8877.02 19690.58 125
UniMVSNet_NR-MVSNet81.88 7781.54 7682.92 13188.46 11963.46 18787.13 13492.37 4380.19 1278.38 10389.14 11071.66 3293.05 14270.05 13976.46 21092.25 79
DU-MVS81.12 8980.52 8982.90 13287.80 13763.46 18787.02 13991.87 6579.01 2378.38 10389.07 11165.02 8193.05 14270.05 13976.46 21092.20 80
CLD-MVS82.31 7181.65 7584.29 8188.47 11867.73 10585.81 17492.35 4475.78 6678.33 10586.58 17764.01 8794.35 7976.05 8487.48 10190.79 111
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
v780.24 11379.26 11783.15 11684.07 20264.94 15487.56 11790.67 9772.26 12478.28 10686.51 18161.45 13694.03 9375.14 9977.41 19090.49 130
v114180.19 11679.31 11382.85 13583.84 20764.12 17787.14 13190.08 12373.13 10578.27 10786.39 18362.67 11593.75 11275.40 9676.83 20490.68 116
divwei89l23v2f11280.19 11679.31 11382.85 13583.84 20764.11 17987.13 13490.08 12373.13 10578.27 10786.39 18362.69 11393.75 11275.40 9676.82 20590.68 116
v180.19 11679.31 11382.85 13583.83 20964.12 17787.14 13190.07 12573.13 10578.27 10786.38 18562.72 11293.75 11275.41 9576.82 20590.68 116
VPNet78.69 14578.66 12678.76 21288.31 12455.72 26584.45 20086.63 20076.79 4878.26 11090.55 8359.30 16089.70 21566.63 16377.05 19590.88 109
V4279.38 13478.24 13982.83 13881.10 25565.50 13985.55 17989.82 13171.57 13478.21 11186.12 18960.66 15193.18 13675.64 9275.46 22389.81 158
BH-RMVSNet79.61 12678.44 13383.14 11789.38 8765.93 12984.95 18887.15 19573.56 9778.19 11289.79 9556.67 17793.36 12959.53 21886.74 10890.13 142
v2v48280.23 11479.29 11683.05 12283.62 21264.14 17587.04 13889.97 12773.61 9578.18 11387.22 15561.10 14493.82 10576.11 8376.78 20791.18 103
PVSNet_BlendedMVS80.60 10280.02 9482.36 15088.85 10365.40 14086.16 16492.00 5769.34 16478.11 11486.09 19066.02 7494.27 8271.52 13282.06 15187.39 215
PVSNet_Blended80.98 9080.34 9082.90 13288.85 10365.40 14084.43 20192.00 5767.62 18778.11 11485.05 21166.02 7494.27 8271.52 13289.50 7489.01 174
v114480.03 12079.03 12183.01 12483.78 21064.51 16487.11 13690.57 10271.96 12878.08 11686.20 18861.41 13793.94 9674.93 10077.23 19290.60 122
TranMVSNet+NR-MVSNet80.84 9280.31 9182.42 14887.85 13562.33 20587.74 11091.33 8480.55 1077.99 11789.86 9465.23 7992.62 15467.05 16175.24 22892.30 77
Baseline_NR-MVSNet78.15 15578.33 13777.61 22785.79 16756.21 26186.78 14785.76 21173.60 9677.93 11887.57 14465.02 8188.99 22667.14 16075.33 22587.63 210
TR-MVS77.44 17876.18 17481.20 17888.24 12563.24 19384.61 19586.40 20367.55 18877.81 11986.48 18254.10 19493.15 13757.75 23382.72 14687.20 220
v119279.59 12778.43 13483.07 12183.55 21464.52 16286.93 14190.58 10170.83 14177.78 12085.90 19159.15 16193.94 9673.96 10777.19 19490.76 112
PCF-MVS73.52 780.38 11078.84 12485.01 6387.71 14068.99 7783.65 21391.46 8263.00 22777.77 12190.28 8566.10 7195.09 5861.40 20388.22 9390.94 108
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
WR-MVS79.49 13079.22 11980.27 19488.79 10958.35 23285.06 18688.61 17678.56 2677.65 12288.34 12863.81 9090.66 20464.98 17777.22 19391.80 91
XVG-OURS80.41 10679.23 11883.97 9485.64 17069.02 7583.03 21990.39 10671.09 13977.63 12391.49 6654.62 19191.35 18675.71 9183.47 13791.54 94
v14419279.47 13178.37 13582.78 14283.35 21763.96 18186.96 14090.36 11069.99 15377.50 12485.67 19760.66 15193.77 11074.27 10476.58 20890.62 120
v192192079.22 13678.03 14182.80 13983.30 22063.94 18286.80 14590.33 11269.91 15477.48 12585.53 20158.44 16593.75 11273.60 11176.85 20290.71 115
FC-MVSNet-test81.52 8482.02 7180.03 19688.42 12155.97 26387.95 10593.42 1177.10 4277.38 12690.98 7869.96 4291.79 17268.46 15184.50 12992.33 75
v124078.99 14177.78 14782.64 14683.21 22163.54 18586.62 15290.30 11469.74 15977.33 12785.68 19657.04 17693.76 11173.13 11476.92 19990.62 120
PAPM_NR83.02 6482.41 6384.82 6992.47 4766.37 12387.93 10791.80 6773.82 9377.32 12890.66 8167.90 5894.90 6570.37 13889.48 7593.19 54
ACMM73.20 880.78 10079.84 9783.58 10289.31 9368.37 9289.99 4991.60 7570.28 15077.25 12989.66 9753.37 19993.53 12274.24 10582.85 14388.85 178
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
HQP4-MVS77.24 13095.11 5491.03 104
HQP-NCC89.33 8889.17 6376.41 5677.23 131
ACMP_Plane89.33 8889.17 6376.41 5677.23 131
HQP-MVS82.61 6982.02 7184.37 7789.33 8866.98 11689.17 6392.19 4976.41 5677.23 13190.23 8760.17 15895.11 5477.47 7185.99 11991.03 104
TAPA-MVS73.13 979.15 13777.94 14382.79 14189.59 8262.99 20088.16 10191.51 7965.77 20377.14 13491.09 7160.91 14793.21 13250.26 26487.05 10592.17 82
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPR81.66 8280.89 8483.99 9390.27 7164.00 18086.76 14991.77 7168.84 17577.13 13589.50 10067.63 6094.88 6667.55 15488.52 8993.09 56
EPNet83.72 5382.92 5986.14 4784.22 18869.48 6991.05 3185.27 21481.30 676.83 13691.65 5966.09 7295.56 3776.00 8593.85 4193.38 46
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TAMVS78.89 14377.51 15283.03 12387.80 13767.79 10484.72 19185.05 21767.63 18676.75 13787.70 14062.25 12690.82 20158.53 22687.13 10490.49 130
XVG-OURS-SEG-HR80.81 9579.76 9983.96 9585.60 17168.78 8183.54 21690.50 10470.66 14676.71 13891.66 5860.69 15091.26 18876.94 7881.58 15691.83 88
3Dnovator+77.84 485.48 4084.47 4888.51 291.08 6173.49 1393.18 493.78 580.79 976.66 13993.37 3260.40 15796.75 877.20 7493.73 4295.29 1
LPG-MVS_test82.08 7381.27 7884.50 7489.23 9668.76 8290.22 4791.94 6175.37 7476.64 14091.51 6454.29 19294.91 6378.44 6183.78 13589.83 156
LGP-MVS_train84.50 7489.23 9668.76 8291.94 6175.37 7476.64 14091.51 6454.29 19294.91 6378.44 6183.78 13589.83 156
HyFIR lowres test77.53 17175.40 18783.94 9689.59 8266.62 11980.36 23888.64 17556.29 27876.45 14285.17 20757.64 17093.28 13061.34 20583.10 14191.91 87
CDS-MVSNet79.07 13977.70 14983.17 11587.60 14268.23 9684.40 20386.20 20667.49 18976.36 14386.54 17961.54 13490.79 20261.86 19987.33 10290.49 130
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
UGNet80.83 9479.59 10384.54 7388.04 12968.09 9889.42 5988.16 18076.95 4576.22 14489.46 10449.30 22693.94 9668.48 15090.31 6691.60 92
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
test_djsdf80.30 11279.32 11283.27 11283.98 20465.37 14390.50 3990.38 10768.55 17976.19 14588.70 11756.44 17893.46 12478.98 5780.14 17290.97 107
v14878.72 14477.80 14681.47 17382.73 23461.96 20986.30 16288.08 18373.26 10176.18 14685.47 20362.46 12392.36 16371.92 13073.82 24090.09 145
WTY-MVS75.65 19875.68 18475.57 24386.40 16356.82 24977.92 25882.40 23865.10 20976.18 14687.72 13963.13 10180.90 27060.31 21181.96 15289.00 176
mvs_anonymous79.42 13379.11 12080.34 19184.45 18457.97 23882.59 22087.62 19067.40 19176.17 14888.56 12468.47 5489.59 21670.65 13686.05 11893.47 45
diffmvs79.51 12878.59 12882.25 15183.31 21962.66 20284.17 20688.11 18167.64 18576.09 14987.47 14864.01 8791.15 19171.71 13184.82 12792.94 63
HyFIR77.63 17075.69 18383.44 10589.98 7668.58 9078.70 25287.50 19256.38 27775.80 15086.84 16158.67 16391.40 18561.58 20285.75 12290.34 136
AdaColmapbinary80.58 10479.42 10984.06 8793.09 3668.91 7989.36 6088.97 16269.27 16575.70 15189.69 9657.20 17495.77 3363.06 18788.41 9187.50 214
3Dnovator76.31 583.38 6082.31 6786.59 3987.94 13372.94 2190.64 3692.14 5177.21 3975.47 15292.83 4558.56 16494.72 7173.24 11392.71 4792.13 83
jajsoiax79.29 13577.96 14283.27 11284.68 18166.57 12189.25 6290.16 12069.20 16775.46 15389.49 10145.75 24493.13 13976.84 8080.80 16290.11 143
IterMVS-LS80.06 11979.38 11082.11 15385.89 16663.20 19586.79 14689.34 14374.19 8775.45 15486.72 16566.62 6792.39 16172.58 12076.86 20190.75 113
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
BH-untuned79.47 13178.60 12782.05 15489.19 9865.91 13086.07 16788.52 17772.18 12575.42 15587.69 14161.15 14393.54 12160.38 21086.83 10786.70 231
mvs_tets79.13 13877.77 14883.22 11484.70 18066.37 12389.17 6390.19 11969.38 16375.40 15689.46 10444.17 25093.15 13776.78 8180.70 16490.14 141
HY-MVS69.67 1277.95 16077.15 15780.36 19087.57 14660.21 22083.37 21887.78 18866.11 19975.37 15787.06 16063.27 9490.48 20661.38 20482.43 14990.40 135
GBi-Net78.40 14877.40 15381.40 17587.60 14263.01 19788.39 9189.28 14571.63 13175.34 15887.28 15154.80 18691.11 19262.72 18879.57 17390.09 145
test178.40 14877.40 15381.40 17587.60 14263.01 19788.39 9189.28 14571.63 13175.34 15887.28 15154.80 18691.11 19262.72 18879.57 17390.09 145
FMVSNet377.88 16376.85 16180.97 18386.84 15862.36 20486.52 15588.77 17171.13 13775.34 15886.66 17154.07 19591.10 19562.72 18879.57 17389.45 164
CostFormer75.24 20273.90 20179.27 20582.65 23658.27 23480.80 23382.73 23661.57 24175.33 16183.13 22655.52 18391.07 19864.98 17778.34 18588.45 198
FMVSNet278.20 15377.21 15681.20 17887.60 14262.89 20187.47 12189.02 15571.63 13175.29 16287.28 15154.80 18691.10 19562.38 19279.38 17689.61 162
v879.97 12179.02 12282.80 13984.09 19864.50 16887.96 10490.29 11574.13 9075.24 16386.81 16262.88 10393.89 10174.39 10375.40 22490.00 151
anonymousdsp78.60 14677.15 15782.98 12680.51 26167.08 11487.24 12989.53 13865.66 20575.16 16487.19 15752.52 20192.25 16677.17 7579.34 17789.61 162
QAPM80.88 9179.50 10885.03 6288.01 13168.97 7891.59 2392.00 5766.63 19675.15 16592.16 5057.70 16995.45 4163.52 18388.76 8290.66 119
v1079.74 12578.67 12582.97 13084.06 20364.95 15387.88 10990.62 10073.11 10875.11 16686.56 17861.46 13594.05 9273.68 10875.55 22189.90 153
Vis-MVSNet (Re-imp)78.36 15078.45 13178.07 22188.64 11351.78 28086.70 15079.63 26574.14 8975.11 16690.83 7961.29 14089.75 21358.10 23091.60 5392.69 67
ACMP74.13 681.51 8680.57 8784.36 7889.42 8668.69 8889.97 5091.50 8174.46 8475.04 16890.41 8453.82 19794.54 7377.56 7082.91 14289.86 155
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
XXY-MVS75.41 20075.56 18574.96 24883.59 21357.82 24180.59 23783.87 22666.54 19774.93 16988.31 12963.24 9580.09 27462.16 19576.85 20286.97 226
GA-MVS76.87 18575.17 18981.97 15682.75 23362.58 20381.44 23286.35 20572.16 12774.74 17082.89 22746.20 23992.02 17068.85 14881.09 15991.30 101
sss73.60 21173.64 20273.51 25982.80 23255.01 26776.12 26481.69 24662.47 23574.68 17185.85 19457.32 17278.11 28260.86 20880.93 16087.39 215
BH-w/o78.21 15277.33 15580.84 18488.81 10765.13 15084.87 18987.85 18769.75 15774.52 17284.74 21661.34 13893.11 14058.24 22985.84 12184.27 256
FMVSNet177.44 17876.12 17581.40 17586.81 15963.01 19788.39 9189.28 14570.49 14874.39 17387.28 15149.06 22991.11 19260.91 20778.52 18190.09 145
114514_t80.68 10179.51 10784.20 8394.09 2067.27 11289.64 5791.11 9058.75 26274.08 17490.72 8058.10 16795.04 5969.70 14389.42 7690.30 137
WR-MVS_H78.51 14778.49 13078.56 21588.02 13056.38 25888.43 8792.67 3577.14 4073.89 17587.55 14566.25 7089.24 22258.92 22173.55 24390.06 149
tpm273.26 21671.46 21778.63 21383.34 21856.71 25280.65 23680.40 25856.63 27673.55 17682.02 24051.80 21191.24 18956.35 24278.42 18487.95 205
CP-MVSNet78.22 15178.34 13677.84 22387.83 13654.54 26987.94 10691.17 8977.65 3073.48 17788.49 12562.24 12788.43 23462.19 19474.07 23590.55 128
pm-mvs177.25 18176.68 16478.93 21084.22 18858.62 23086.41 15888.36 17971.37 13673.31 17888.01 13761.22 14289.15 22464.24 18173.01 24589.03 173
PS-CasMVS78.01 15878.09 14077.77 22587.71 14054.39 27188.02 10291.22 8677.50 3773.26 17988.64 12060.73 14888.41 23561.88 19873.88 23990.53 129
CVMVSNet72.99 22072.58 20974.25 25584.28 18550.85 28786.41 15883.45 22944.56 30373.23 18087.54 14649.38 22485.70 25365.90 16978.44 18386.19 236
PEN-MVS77.73 16577.69 15077.84 22387.07 15553.91 27387.91 10891.18 8877.56 3473.14 18188.82 11661.23 14189.17 22359.95 21372.37 24990.43 133
1112_ss77.40 18076.43 16680.32 19289.11 10060.41 21983.65 21387.72 18962.13 23873.05 18286.72 16562.58 11989.97 21162.11 19780.80 16290.59 124
tpm72.37 22571.71 21674.35 25482.19 24152.00 27879.22 24877.29 27564.56 21472.95 18383.68 22451.35 21483.26 26458.33 22875.80 21787.81 208
cascas76.72 18774.64 19282.99 12585.78 16865.88 13182.33 22289.21 15060.85 24672.74 18481.02 25447.28 23493.75 11267.48 15585.02 12389.34 165
CR-MVSNet73.37 21371.27 22079.67 20181.32 25365.19 14875.92 26680.30 25959.92 25372.73 18581.19 25052.50 20286.69 24559.84 21477.71 18787.11 224
RPMNet71.62 22768.94 23579.67 20181.32 25365.19 14875.92 26678.30 27057.60 27072.73 18576.45 28052.30 20686.69 24548.14 27277.71 18787.11 224
DTE-MVSNet76.99 18376.80 16277.54 22886.24 16453.06 27787.52 11990.66 9977.08 4372.50 18788.67 11960.48 15489.52 21757.33 23770.74 25990.05 150
Test_1112_low_res76.40 18975.44 18679.27 20589.28 9458.09 23581.69 22887.07 19659.53 25672.48 18886.67 17061.30 13989.33 22060.81 20980.15 17190.41 134
v7n78.97 14277.58 15183.14 11783.45 21665.51 13888.32 9491.21 8773.69 9472.41 18986.32 18657.93 16893.81 10669.18 14675.65 21990.11 143
CNLPA78.08 15676.79 16381.97 15690.40 7071.07 4387.59 11384.55 22066.03 20272.38 19089.64 9857.56 17186.04 25159.61 21683.35 13888.79 181
NR-MVSNet80.23 11479.38 11082.78 14287.80 13763.34 19086.31 16191.09 9179.01 2372.17 19189.07 11167.20 6492.81 15266.08 16875.65 21992.20 80
OpenMVScopyleft72.83 1079.77 12478.33 13784.09 8685.17 17469.91 6190.57 3790.97 9266.70 19272.17 19191.91 5454.70 18993.96 9461.81 20090.95 6188.41 200
v5277.94 16276.37 16882.67 14479.39 27465.52 13686.43 15689.94 12872.28 12272.15 19384.94 21355.70 18293.44 12673.64 10972.84 24789.06 167
V477.95 16076.37 16882.67 14479.40 27365.52 13686.43 15689.94 12872.28 12272.14 19484.95 21255.72 18193.44 12673.64 10972.86 24689.05 171
MVS78.19 15476.99 15981.78 15985.66 16966.99 11584.66 19290.47 10555.08 28272.02 19585.27 20663.83 8994.11 9166.10 16789.80 7384.24 257
XVG-ACMP-BASELINE76.11 19374.27 19881.62 16983.20 22264.67 15883.60 21589.75 13369.75 15771.85 19687.09 15932.78 28992.11 16969.99 14180.43 16988.09 204
PatchmatchNetpermissive73.12 21871.33 21978.49 21883.18 22360.85 21579.63 24378.57 26864.13 21871.73 19779.81 26451.20 21585.97 25257.40 23676.36 21288.66 184
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmrst72.39 22372.13 21273.18 26180.54 26049.91 29179.91 24279.08 26763.11 22571.69 19879.95 26155.32 18482.77 26565.66 17273.89 23886.87 227
PatchFormer-LS_test74.50 20473.05 20678.86 21182.95 22959.55 22681.65 22982.30 24067.44 19071.62 19978.15 27152.34 20588.92 23165.05 17675.90 21688.12 203
TransMVSNet (Re)75.39 20174.56 19477.86 22285.50 17257.10 24786.78 14786.09 20972.17 12671.53 20087.34 15063.01 10289.31 22156.84 24061.83 28987.17 221
PAPM77.68 16776.40 16781.51 17287.29 15261.85 21083.78 21289.59 13664.74 21271.23 20188.70 11762.59 11893.66 11852.66 25587.03 10689.01 174
RPSCF73.23 21771.46 21778.54 21682.50 23859.85 22182.18 22382.84 23558.96 25971.15 20289.41 10845.48 24684.77 25858.82 22371.83 25391.02 106
DWT-MVSNet_test73.70 21071.86 21479.21 20782.91 23058.94 22882.34 22182.17 24165.21 20771.05 20378.31 26944.21 24990.17 21063.29 18677.28 19188.53 197
v74877.97 15976.65 16581.92 15882.29 24063.28 19287.53 11890.35 11173.50 10070.76 20485.55 20058.28 16692.81 15268.81 14972.76 24889.67 161
DI_MVS_plusplus_test79.89 12278.58 12983.85 9882.89 23165.32 14486.12 16589.55 13769.64 16070.55 20585.82 19557.24 17393.81 10676.85 7988.55 8792.41 74
PatchT68.46 24867.85 24670.29 27280.70 25843.93 30172.47 27974.88 28560.15 25170.55 20576.57 27949.94 22281.59 26850.58 26074.83 23085.34 246
tpmp4_e2373.45 21271.17 22280.31 19383.55 21459.56 22581.88 22482.33 23957.94 26770.51 20781.62 24851.19 21691.63 18253.96 24977.51 18989.75 160
gg-mvs-nofinetune69.95 24067.96 24475.94 23983.07 22554.51 27077.23 26170.29 30263.11 22570.32 20862.33 30443.62 25288.69 23353.88 25087.76 9584.62 255
DP-MVS76.78 18674.57 19383.42 10693.29 2969.46 7188.55 8683.70 22763.98 22170.20 20988.89 11454.01 19694.80 6946.66 27581.88 15486.01 241
pmmvs674.69 20373.39 20378.61 21481.38 25057.48 24486.64 15187.95 18564.99 21170.18 21086.61 17550.43 22189.52 21762.12 19670.18 26188.83 179
PVSNet64.34 1872.08 22670.87 22575.69 24186.21 16556.44 25674.37 27680.73 25462.06 23970.17 21182.23 23542.86 25783.31 26354.77 24684.45 13187.32 217
131476.53 18875.30 18880.21 19583.93 20562.32 20684.66 19288.81 17060.23 25070.16 21284.07 21855.30 18590.73 20367.37 15683.21 14087.59 212
test_normal79.81 12378.45 13183.89 9782.70 23565.40 14085.82 17389.48 14069.39 16170.12 21385.66 19857.15 17593.71 11777.08 7688.62 8592.56 70
Patchmtry70.74 23369.16 23375.49 24480.72 25754.07 27274.94 27580.30 25958.34 26370.01 21481.19 25052.50 20286.54 24753.37 25271.09 25785.87 243
EPMVS69.02 24468.16 24171.59 26479.61 27049.80 29377.40 26066.93 31062.82 23170.01 21479.05 26545.79 24277.86 28456.58 24175.26 22787.13 223
IterMVS74.29 20572.94 20778.35 21981.53 24863.49 18681.58 23082.49 23768.06 18469.99 21683.69 22351.66 21385.54 25465.85 17071.64 25486.01 241
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test-LLR72.94 22172.43 21074.48 25281.35 25158.04 23678.38 25377.46 27366.66 19369.95 21779.00 26748.06 23179.24 27666.13 16584.83 12586.15 237
test-mter71.41 22970.39 22874.48 25281.35 25158.04 23678.38 25377.46 27360.32 24969.95 21779.00 26736.08 28479.24 27666.13 16584.83 12586.15 237
pmmvs474.03 20871.91 21380.39 18981.96 24368.32 9381.45 23182.14 24259.32 25769.87 21985.13 20852.40 20488.13 23760.21 21274.74 23184.73 254
PLCcopyleft70.83 1178.05 15776.37 16883.08 12091.88 5567.80 10388.19 9989.46 14164.33 21769.87 21988.38 12753.66 19893.58 11958.86 22282.73 14587.86 207
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
LTVRE_ROB69.57 1376.25 19174.54 19581.41 17488.60 11464.38 17379.24 24789.12 15370.76 14469.79 22187.86 13849.09 22893.20 13456.21 24380.16 17086.65 232
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
LS3D76.95 18474.82 19183.37 10990.45 6867.36 11189.15 6786.94 19761.87 24069.52 22290.61 8251.71 21294.53 7446.38 27886.71 10988.21 202
IB-MVS68.01 1575.85 19673.36 20483.31 11084.76 17966.03 12683.38 21785.06 21670.21 15269.40 22381.05 25345.76 24394.66 7265.10 17575.49 22289.25 166
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
v1877.67 16976.35 17281.64 16884.09 19864.47 17087.27 12789.01 15772.59 12069.39 22482.04 23962.85 10491.80 17172.72 11767.20 27188.63 186
PatchMatch-RL72.38 22470.90 22476.80 23588.60 11467.38 11079.53 24476.17 27962.75 23269.36 22582.00 24145.51 24584.89 25753.62 25180.58 16578.12 290
MDTV_nov1_ep1369.97 23083.18 22353.48 27577.10 26280.18 26260.45 24769.33 22680.44 25848.89 23086.90 24451.60 25778.51 182
v1677.69 16676.36 17181.68 16684.15 19364.63 16187.33 12488.99 15972.69 11969.31 22782.08 23762.80 10991.79 17272.70 11867.23 27088.63 186
v1777.68 16776.35 17281.69 16584.15 19364.65 15987.33 12488.99 15972.70 11869.25 22882.07 23862.82 10891.79 17272.69 11967.15 27288.63 186
v1577.51 17476.12 17581.66 16784.09 19864.65 15987.14 13188.96 16372.76 11668.90 22981.91 24662.74 11191.73 17572.32 12366.29 27788.61 189
V1477.52 17276.12 17581.70 16484.15 19364.77 15787.21 13088.95 16472.80 11568.79 23081.94 24562.69 11391.72 17772.31 12466.27 27888.60 190
v1177.45 17776.06 18181.59 17184.22 18864.52 16287.11 13689.02 15572.76 11668.76 23181.90 24762.09 12991.71 17971.98 12866.73 27388.56 195
PMMVS69.34 24368.67 23671.35 26875.67 28962.03 20875.17 27073.46 29450.00 29968.68 23279.05 26552.07 20978.13 28161.16 20682.77 14473.90 299
Patchmatch-RL test68.08 24965.61 25575.47 24577.43 28159.57 22471.16 28170.33 30162.94 22968.65 23372.77 29231.06 29385.49 25569.58 14466.58 27581.34 279
V977.52 17276.11 17881.73 16384.19 19264.89 15587.26 12888.94 16772.87 11468.65 23381.96 24462.65 11691.72 17772.27 12566.24 27988.60 190
MS-PatchMatch73.83 20972.67 20877.30 23183.87 20666.02 12781.82 22584.66 21961.37 24468.61 23582.82 22947.29 23388.21 23659.27 21984.32 13277.68 292
tpm cat170.57 23568.31 23977.35 23082.41 23957.95 23978.08 25780.22 26152.04 29368.54 23677.66 27652.00 21087.84 24051.77 25672.07 25286.25 235
v1277.51 17476.09 17981.76 16284.22 18864.99 15287.30 12688.93 16872.92 11168.48 23781.97 24262.54 12091.70 18072.24 12666.21 28188.58 193
v1377.50 17676.07 18081.77 16084.23 18765.07 15187.34 12388.91 16972.92 11168.35 23881.97 24262.53 12191.69 18172.20 12766.22 28088.56 195
TESTMET0.1,169.89 24169.00 23472.55 26279.27 27656.85 24878.38 25374.71 28957.64 26968.09 23977.19 27837.75 27876.70 28763.92 18284.09 13384.10 260
MIMVSNet70.69 23469.30 23174.88 24984.52 18256.35 25975.87 26879.42 26664.59 21367.76 24082.41 23241.10 26681.54 26946.64 27781.34 15786.75 230
ACMH+68.96 1476.01 19474.01 19982.03 15588.60 11465.31 14588.86 7487.55 19170.25 15167.75 24187.47 14841.27 26593.19 13558.37 22775.94 21587.60 211
LCM-MVSNet-Re77.05 18276.94 16077.36 22987.20 15351.60 28180.06 24080.46 25775.20 7867.69 24286.72 16562.48 12288.98 22763.44 18489.25 7791.51 95
ITE_SJBPF78.22 22081.77 24560.57 21783.30 23069.25 16667.54 24387.20 15636.33 28387.28 24354.34 24774.62 23286.80 228
pmmvs571.55 22870.20 22975.61 24277.83 27956.39 25781.74 22780.89 25157.76 26867.46 24484.49 21749.26 22785.32 25657.08 23975.29 22685.11 250
MVP-Stereo76.12 19274.46 19681.13 18185.37 17369.79 6384.42 20287.95 18565.03 21067.46 24485.33 20553.28 20091.73 17558.01 23183.27 13981.85 276
test_040272.79 22270.44 22679.84 19888.13 12765.99 12885.93 17084.29 22265.57 20667.40 24685.49 20246.92 23692.61 15535.88 29874.38 23480.94 280
GG-mvs-BLEND75.38 24681.59 24755.80 26479.32 24669.63 30467.19 24773.67 29143.24 25388.90 23250.41 26184.50 12981.45 278
tpmvs71.09 23169.29 23276.49 23682.04 24256.04 26278.92 25181.37 25064.05 21967.18 24878.28 27049.74 22389.77 21249.67 26772.37 24983.67 261
OurMVSNet-221017-074.26 20672.42 21179.80 19983.76 21159.59 22285.92 17186.64 19966.39 19866.96 24987.58 14339.46 27191.60 18365.76 17169.27 26388.22 201
F-COLMAP76.38 19074.33 19782.50 14789.28 9466.95 11888.41 9089.03 15464.05 21966.83 25088.61 12146.78 23792.89 14757.48 23478.55 18087.67 209
ACMH67.68 1675.89 19573.93 20081.77 16088.71 11266.61 12088.62 8389.01 15769.81 15566.78 25186.70 16941.95 26491.51 18455.64 24478.14 18687.17 221
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test0.0.03 168.00 25067.69 24968.90 27777.55 28047.43 29575.70 26972.95 29666.66 19366.56 25282.29 23448.06 23175.87 29144.97 28474.51 23383.41 263
MDTV_nov1_ep13_2view37.79 31175.16 27155.10 28166.53 25349.34 22553.98 24887.94 206
Test477.83 16475.90 18283.62 10080.24 26465.25 14685.27 18490.67 9769.03 17266.48 25483.75 22143.07 25593.00 14575.93 8688.66 8492.62 69
EU-MVSNet68.53 24767.61 25071.31 26978.51 27847.01 29784.47 19784.27 22342.27 30466.44 25584.79 21540.44 26983.76 25958.76 22468.54 26983.17 265
EPNet_dtu75.46 19974.86 19077.23 23282.57 23754.60 26886.89 14283.09 23271.64 13066.25 25685.86 19355.99 18088.04 23854.92 24586.55 11189.05 171
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Anonymous2023120668.60 24567.80 24871.02 27080.23 26550.75 28878.30 25680.47 25656.79 27566.11 25782.63 23146.35 23878.95 27843.62 28675.70 21883.36 264
SixPastTwentyTwo73.37 21371.26 22179.70 20085.08 17757.89 24085.57 17583.56 22871.03 14065.66 25885.88 19242.10 26292.57 15659.11 22063.34 28688.65 185
MSDG73.36 21570.99 22380.49 18884.51 18365.80 13280.71 23586.13 20865.70 20465.46 25983.74 22244.60 24790.91 20051.13 25976.89 20084.74 253
OpenMVS_ROBcopyleft64.09 1970.56 23668.19 24077.65 22680.26 26259.41 22785.01 18782.96 23458.76 26165.43 26082.33 23337.63 28091.23 19045.34 28376.03 21482.32 273
ADS-MVSNet266.20 26063.33 26174.82 25079.92 26758.75 22967.55 29875.19 28353.37 28965.25 26175.86 28142.32 26080.53 27241.57 28968.91 26585.18 247
ADS-MVSNet64.36 26462.88 26468.78 27979.92 26747.17 29667.55 29871.18 30053.37 28965.25 26175.86 28142.32 26073.99 29841.57 28968.91 26585.18 247
testgi66.67 25766.53 25367.08 28275.62 29041.69 30675.93 26576.50 27866.11 19965.20 26386.59 17635.72 28574.71 29443.71 28573.38 24484.84 252
PM-MVS66.41 25864.14 25973.20 26073.92 29356.45 25578.97 25064.96 31463.88 22364.72 26480.24 26019.84 30683.44 26266.24 16464.52 28579.71 285
JIA-IIPM66.32 25962.82 26576.82 23477.09 28561.72 21165.34 30275.38 28158.04 26664.51 26562.32 30542.05 26386.51 24851.45 25869.22 26482.21 274
ambc75.24 24773.16 29750.51 28963.05 30787.47 19364.28 26677.81 27517.80 30989.73 21457.88 23260.64 29385.49 244
EG-PatchMatch MVS74.04 20771.82 21580.71 18784.92 17867.42 10885.86 17288.08 18366.04 20164.22 26783.85 21935.10 28692.56 15757.44 23580.83 16182.16 275
dp66.80 25565.43 25670.90 27179.74 26948.82 29475.12 27374.77 28759.61 25564.08 26877.23 27742.89 25680.72 27148.86 26966.58 27583.16 266
pmmvs-eth3d70.50 23767.83 24778.52 21777.37 28266.18 12581.82 22581.51 24858.90 26063.90 26980.42 25942.69 25886.28 25058.56 22565.30 28383.11 267
COLMAP_ROBcopyleft66.92 1773.01 21970.41 22780.81 18587.13 15465.63 13588.30 9584.19 22462.96 22863.80 27087.69 14138.04 27792.56 15746.66 27574.91 22984.24 257
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
FMVSNet569.50 24267.96 24474.15 25682.97 22855.35 26680.01 24182.12 24362.56 23463.02 27181.53 24936.92 28181.92 26748.42 27074.06 23685.17 249
test20.0367.45 25266.95 25168.94 27675.48 29244.84 29977.50 25977.67 27266.66 19363.01 27283.80 22047.02 23578.40 28042.53 28868.86 26783.58 262
K. test v371.19 23068.51 23779.21 20783.04 22757.78 24284.35 20476.91 27772.90 11362.99 27382.86 22839.27 27291.09 19761.65 20152.66 30488.75 182
USDC70.33 23868.37 23876.21 23880.60 25956.23 26079.19 24986.49 20160.89 24561.29 27485.47 20331.78 29289.47 21953.37 25276.21 21382.94 272
lessismore_v078.97 20981.01 25657.15 24665.99 31161.16 27582.82 22939.12 27391.34 18759.67 21546.92 30888.43 199
UnsupCasMVSNet_eth67.33 25365.99 25471.37 26673.48 29551.47 28375.16 27185.19 21565.20 20860.78 27680.93 25742.35 25977.20 28657.12 23853.69 30385.44 245
testing_275.73 19773.34 20582.89 13477.37 28265.22 14784.10 20990.54 10369.09 16860.46 27781.15 25240.48 26892.84 15176.36 8280.54 16890.60 122
AllTest70.96 23268.09 24379.58 20385.15 17563.62 18384.58 19679.83 26362.31 23660.32 27886.73 16332.02 29088.96 22950.28 26271.57 25586.15 237
TestCases79.58 20385.15 17563.62 18379.83 26362.31 23660.32 27886.73 16332.02 29088.96 22950.28 26271.57 25586.15 237
Patchmatch-test163.30 26761.13 27069.83 27480.26 26259.58 22364.06 30472.27 29951.98 29459.95 28074.19 28733.22 28770.98 30440.66 29173.57 24178.94 287
Patchmatch-test62.11 26860.61 27166.58 28479.42 27249.82 29263.49 30669.05 30851.98 29459.95 28074.19 28733.22 28770.98 30440.66 29173.57 24178.94 287
MIMVSNet168.58 24666.78 25273.98 25780.07 26651.82 27980.77 23484.37 22164.40 21659.75 28282.16 23636.47 28283.63 26142.73 28770.33 26086.48 234
LF4IMVS64.02 26562.19 26669.50 27570.90 30353.29 27676.13 26377.18 27652.65 29258.59 28380.98 25523.55 30176.52 28853.06 25466.66 27478.68 289
PVSNet_057.27 2061.67 27059.27 27268.85 27879.61 27057.44 24568.01 29673.44 29555.93 27958.54 28470.41 29744.58 24877.55 28547.01 27435.91 31071.55 301
TDRefinement67.49 25164.34 25876.92 23373.47 29661.07 21284.86 19082.98 23359.77 25458.30 28585.13 20826.06 29887.89 23947.92 27360.59 29481.81 277
Anonymous2023121164.82 26361.79 26773.91 25877.11 28450.92 28685.29 18381.53 24754.19 28457.98 28678.03 27226.90 29687.83 24137.92 29557.12 29782.99 270
UnsupCasMVSNet_bld63.70 26661.53 26970.21 27373.69 29451.39 28472.82 27881.89 24455.63 28057.81 28771.80 29438.67 27478.61 27949.26 26852.21 30580.63 281
test235659.50 27258.08 27363.74 28771.23 30241.88 30467.59 29772.42 29853.72 28857.65 28870.74 29626.31 29772.40 30132.03 30571.06 25876.93 296
DSMNet-mixed57.77 27756.90 27860.38 29267.70 30835.61 31269.18 29053.97 31732.30 31457.49 28979.88 26240.39 27068.57 30938.78 29472.37 24976.97 295
testus59.00 27457.91 27462.25 29072.25 30039.09 30969.74 28675.02 28453.04 29157.21 29073.72 29018.76 30870.33 30632.86 30168.57 26877.35 293
N_pmnet52.79 28353.26 28251.40 30178.99 2777.68 32669.52 2883.89 32651.63 29757.01 29174.98 28440.83 26765.96 31237.78 29664.67 28480.56 283
new-patchmatchnet61.73 26961.73 26861.70 29172.74 29924.50 32269.16 29178.03 27161.40 24256.72 29275.53 28338.42 27576.48 28945.95 28057.67 29684.13 259
CMPMVSbinary51.72 2170.19 23968.16 24176.28 23773.15 29857.55 24379.47 24583.92 22548.02 30156.48 29384.81 21443.13 25486.42 24962.67 19181.81 15584.89 251
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
TinyColmap67.30 25464.81 25774.76 25181.92 24456.68 25380.29 23981.49 24960.33 24856.27 29483.22 22524.77 30087.66 24245.52 28169.47 26279.95 284
LP61.36 27157.78 27572.09 26375.54 29158.53 23167.16 30075.22 28251.90 29654.13 29569.97 29837.73 27980.45 27332.74 30255.63 30077.29 294
YYNet165.03 26162.91 26371.38 26575.85 28856.60 25469.12 29274.66 29157.28 27354.12 29677.87 27445.85 24174.48 29549.95 26561.52 29183.05 268
MDA-MVSNet_test_wron65.03 26162.92 26271.37 26675.93 28756.73 25069.09 29374.73 28857.28 27354.03 29777.89 27345.88 24074.39 29649.89 26661.55 29082.99 270
111157.11 27856.82 28057.97 29569.10 30528.28 31768.90 29474.54 29254.01 28653.71 29874.51 28523.09 30267.90 31032.28 30361.26 29277.73 291
.test124545.55 28850.02 28632.14 30769.10 30528.28 31768.90 29474.54 29254.01 28653.71 29874.51 28523.09 30267.90 31032.28 3030.02 3220.25 320
pmmvs357.79 27654.26 28168.37 28064.02 31056.72 25175.12 27365.17 31240.20 30652.93 30069.86 29920.36 30575.48 29345.45 28255.25 30272.90 300
testpf56.51 27957.58 27753.30 29871.99 30141.19 30746.89 31569.32 30758.06 26552.87 30169.45 30027.99 29572.73 30059.59 21762.07 28845.98 311
MVS-HIRNet59.14 27357.67 27663.57 28881.65 24643.50 30271.73 28065.06 31339.59 30851.43 30257.73 30838.34 27682.58 26639.53 29373.95 23764.62 306
test123567858.74 27556.89 27964.30 28569.70 30441.87 30571.05 28274.87 28654.06 28550.63 30371.53 29525.30 29974.10 29731.80 30663.10 28776.93 296
MDA-MVSNet-bldmvs66.68 25663.66 26075.75 24079.28 27560.56 21873.92 27778.35 26964.43 21550.13 30479.87 26344.02 25183.67 26046.10 27956.86 29883.03 269
new_pmnet50.91 28550.29 28552.78 29968.58 30734.94 31563.71 30556.63 31639.73 30744.95 30565.47 30321.93 30458.48 31434.98 29956.62 29964.92 305
testmv53.85 28151.03 28462.31 28961.46 31238.88 31070.95 28574.69 29051.11 29841.26 30666.85 30114.28 31272.13 30229.19 30849.51 30775.93 298
FPMVS53.68 28251.64 28359.81 29365.08 30951.03 28569.48 28969.58 30541.46 30540.67 30772.32 29316.46 31170.00 30724.24 31365.42 28258.40 308
test1235649.28 28748.51 28851.59 30062.06 31119.11 32360.40 30872.45 29747.60 30240.64 30865.68 30213.84 31368.72 30827.29 31046.67 30966.94 304
LCM-MVSNet54.25 28049.68 28767.97 28153.73 31745.28 29866.85 30180.78 25335.96 31039.45 30962.23 3068.70 31878.06 28348.24 27151.20 30680.57 282
no-one51.08 28445.79 29066.95 28357.92 31550.49 29059.63 31076.04 28048.04 30031.85 31056.10 31119.12 30780.08 27536.89 29726.52 31270.29 302
PMMVS240.82 29138.86 29346.69 30353.84 31616.45 32448.61 31449.92 31937.49 30931.67 31160.97 3078.14 31956.42 31528.42 30930.72 31167.19 303
ANet_high50.57 28646.10 28963.99 28648.67 32039.13 30870.99 28480.85 25261.39 24331.18 31257.70 30917.02 31073.65 29931.22 30715.89 31979.18 286
Gipumacopyleft45.18 28941.86 29155.16 29777.03 28651.52 28232.50 31880.52 25532.46 31227.12 31335.02 3159.52 31775.50 29222.31 31460.21 29538.45 313
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 29040.28 29255.82 29640.82 32342.54 30365.12 30363.99 31534.43 31124.48 31457.12 3103.92 32076.17 29017.10 31655.52 30148.75 309
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepMVS_CXcopyleft27.40 30940.17 32426.90 32024.59 32517.44 31923.95 31548.61 3129.77 31626.48 31918.06 31524.47 31328.83 314
tmp_tt18.61 29921.40 30110.23 3114.82 32510.11 32534.70 31730.74 3241.48 32123.91 31626.07 31928.42 29413.41 32127.12 31115.35 3207.17 317
PNet_i23d38.26 29335.42 29446.79 30258.74 31335.48 31359.65 30951.25 31832.45 31323.44 31747.53 3132.04 32258.96 31325.60 31218.09 31745.92 312
MVEpermissive26.22 2330.37 29725.89 30043.81 30444.55 32235.46 31428.87 31939.07 32218.20 31818.58 31840.18 3142.68 32147.37 31817.07 31723.78 31448.60 310
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN31.77 29530.64 29735.15 30552.87 31827.67 31957.09 31247.86 32024.64 31516.40 31933.05 31711.23 31554.90 31614.46 31818.15 31622.87 315
EMVS30.81 29629.65 29834.27 30650.96 31925.95 32156.58 31346.80 32124.01 31715.53 32030.68 31812.47 31454.43 31712.81 31917.05 31822.43 316
wuykxyi23d39.76 29233.18 29659.51 29446.98 32144.01 30057.70 31167.74 30924.13 31613.98 32134.33 3161.27 32371.33 30334.23 30018.23 31563.18 307
wuyk23d16.82 30015.94 30219.46 31058.74 31331.45 31639.22 3163.74 3276.84 3206.04 3222.70 3231.27 32324.29 32010.54 32014.40 3212.63 318
testmvs6.04 3038.02 3050.10 3130.08 3260.03 32869.74 2860.04 3280.05 3220.31 3231.68 3240.02 3260.04 3220.24 3210.02 3220.25 320
test1236.12 3028.11 3040.14 3120.06 3270.09 32771.05 2820.03 3290.04 3230.25 3241.30 3250.05 3250.03 3230.21 3220.01 3240.29 319
cdsmvs_eth3d_5k19.96 29826.61 2990.00 3140.00 3280.00 3290.00 32089.26 1480.00 3240.00 32588.61 12161.62 1330.00 3240.00 3230.00 3250.00 322
pcd_1.5k_mvsjas5.26 3047.02 3060.00 3140.00 3280.00 3290.00 3200.00 3300.00 3240.00 3250.00 32663.15 980.00 3240.00 3230.00 3250.00 322
pcd1.5k->3k34.07 29435.26 29530.50 30886.92 1560.00 3290.00 32091.58 760.00 3240.00 3250.00 32656.23 1790.00 3240.00 32382.60 14791.49 97
sosnet-low-res0.00 3050.00 3070.00 3140.00 3280.00 3290.00 3200.00 3300.00 3240.00 3250.00 3260.00 3270.00 3240.00 3230.00 3250.00 322
sosnet0.00 3050.00 3070.00 3140.00 3280.00 3290.00 3200.00 3300.00 3240.00 3250.00 326