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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
HPM-MVS++copyleft89.02 589.15 588.63 195.01 376.03 192.38 1692.85 3780.26 1487.78 1594.27 1975.89 896.81 1187.45 1096.44 293.05 70
SMA-MVS89.08 489.23 488.61 294.25 1973.73 792.40 1493.63 1074.77 9392.29 195.97 274.28 1897.24 388.58 496.91 194.87 5
3Dnovator+77.84 485.48 4784.47 5588.51 391.08 6873.49 1493.18 493.78 880.79 1176.66 15793.37 3860.40 16696.75 1477.20 8593.73 4895.29 1
CNVR-MVS88.93 689.13 688.33 494.77 573.82 690.51 4393.00 2980.90 1088.06 1394.06 2776.43 596.84 988.48 595.99 694.34 17
SteuartSystems-ACMMP88.72 788.86 788.32 592.14 5772.96 2193.73 393.67 980.19 1588.10 1294.80 773.76 2297.11 587.51 995.82 1094.90 4
Skip Steuart: Steuart Systems R&D Blog.
NCCC88.06 988.01 1288.24 694.41 1573.62 891.22 3492.83 3881.50 785.79 2593.47 3773.02 2697.00 884.90 1994.94 2794.10 23
region2R87.42 1987.20 2188.09 794.63 773.55 1093.03 793.12 2576.73 5684.45 4494.52 1069.09 5896.70 1584.37 2894.83 3194.03 27
ACMMPR87.44 1787.23 2088.08 894.64 673.59 993.04 593.20 2276.78 5384.66 4194.52 1068.81 6096.65 1784.53 2594.90 2894.00 30
MVS_030486.37 3885.81 4288.02 990.13 8372.39 3689.66 6692.75 4181.64 682.66 7092.04 5864.44 9397.35 284.76 2394.25 4494.33 18
ESAPD89.48 189.98 188.01 1094.80 472.69 2891.59 2794.10 175.90 7192.29 195.66 381.67 197.38 187.44 1196.34 493.95 32
XVS87.18 2486.91 2688.00 1194.42 1373.33 1792.78 992.99 3179.14 2183.67 5694.17 2267.45 6996.60 2183.06 3994.50 3694.07 25
X-MVStestdata80.37 12677.83 16188.00 1194.42 1373.33 1792.78 992.99 3179.14 2183.67 5612.47 36567.45 6996.60 2183.06 3994.50 3694.07 25
ACMMP_Plus88.05 1188.08 1187.94 1393.70 2873.05 1990.86 3793.59 1176.27 6788.14 1195.09 671.06 3996.67 1687.67 796.37 394.09 24
HFP-MVS87.58 1587.47 1687.94 1394.58 873.54 1293.04 593.24 2076.78 5384.91 3494.44 1570.78 4196.61 1984.53 2594.89 2993.66 44
#test#87.33 2287.13 2287.94 1394.58 873.54 1292.34 1793.24 2075.23 8484.91 3494.44 1570.78 4196.61 1983.75 3494.89 2993.66 44
MP-MVScopyleft87.71 1387.64 1487.93 1694.36 1773.88 492.71 1392.65 4577.57 3583.84 5394.40 1872.24 3396.28 2885.65 1595.30 2393.62 51
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
zzz-MVS87.53 1687.41 1787.90 1794.18 2374.25 290.23 5192.02 6579.45 1985.88 2294.80 768.07 6296.21 3086.69 1295.34 1993.23 62
MTAPA87.23 2387.00 2387.90 1794.18 2374.25 286.58 17092.02 6579.45 1985.88 2294.80 768.07 6296.21 3086.69 1295.34 1993.23 62
PGM-MVS86.68 3086.27 3387.90 1794.22 2173.38 1690.22 5293.04 2675.53 7883.86 5294.42 1767.87 6696.64 1882.70 4494.57 3593.66 44
GST-MVS87.42 1987.26 1887.89 2094.12 2572.97 2092.39 1593.43 1676.89 5084.68 4093.99 2970.67 4496.82 1084.18 3295.01 2593.90 35
HSP-MVS89.28 289.76 287.85 2194.28 1873.46 1592.90 892.73 4280.27 1391.35 594.16 2378.35 396.77 1289.59 194.22 4593.33 60
DeepC-MVS_fast79.65 386.91 2886.62 2987.76 2293.52 3372.37 3891.26 3193.04 2676.62 5884.22 4993.36 3971.44 3796.76 1380.82 5795.33 2194.16 21
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
APDe-MVS89.15 389.63 387.73 2394.49 1171.69 4593.83 293.96 575.70 7491.06 696.03 176.84 497.03 789.09 295.65 1594.47 13
MCST-MVS87.37 2187.25 1987.73 2394.53 1072.46 3589.82 5893.82 773.07 13184.86 3992.89 4976.22 696.33 2684.89 2195.13 2494.40 14
TSAR-MVS + MP.88.02 1288.11 1087.72 2593.68 3072.13 4191.41 3092.35 5574.62 9588.90 993.85 3175.75 996.00 3687.80 694.63 3495.04 2
mPP-MVS86.67 3186.32 3287.72 2594.41 1573.55 1092.74 1192.22 5876.87 5182.81 6794.25 2066.44 7796.24 2982.88 4394.28 4293.38 57
DeepC-MVS79.81 287.08 2786.88 2787.69 2791.16 6772.32 3990.31 4993.94 677.12 4482.82 6594.23 2172.13 3497.09 684.83 2295.37 1893.65 49
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CP-MVS87.11 2586.92 2587.68 2894.20 2273.86 593.98 192.82 4076.62 5883.68 5594.46 1467.93 6495.95 3884.20 3194.39 3993.23 62
MP-MVS-pluss87.67 1487.72 1387.54 2993.64 3172.04 4289.80 6093.50 1375.17 8786.34 2095.29 470.86 4096.00 3688.78 396.04 594.58 8
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
CANet86.45 3386.10 3787.51 3090.09 8570.94 5389.70 6492.59 4681.78 481.32 8391.43 7570.34 4597.23 484.26 2993.36 4994.37 15
HPM-MVScopyleft87.11 2586.98 2487.50 3193.88 2772.16 4092.19 2093.33 1976.07 7083.81 5493.95 3069.77 5296.01 3585.15 1694.66 3394.32 19
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
ACMMPcopyleft85.89 4385.39 4587.38 3293.59 3272.63 3092.74 1193.18 2476.78 5380.73 9293.82 3264.33 9496.29 2782.67 4590.69 7093.23 62
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
PHI-MVS86.43 3486.17 3687.24 3390.88 7370.96 5192.27 1994.07 472.45 14385.22 3091.90 6269.47 5596.42 2583.28 3795.94 794.35 16
APD-MVScopyleft87.44 1787.52 1587.19 3494.24 2072.39 3691.86 2592.83 3873.01 13288.58 1094.52 1073.36 2396.49 2484.26 2995.01 2592.70 79
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
CDPH-MVS85.76 4485.29 4987.17 3593.49 3471.08 4988.58 9892.42 5268.32 21984.61 4293.48 3572.32 3296.15 3379.00 6795.43 1794.28 20
train_agg86.43 3486.20 3487.13 3693.26 3872.96 2188.75 9291.89 7468.69 20885.00 3293.10 4374.43 1495.41 5184.97 1795.71 1293.02 72
agg_prior386.16 4085.85 4187.10 3793.31 3572.86 2588.77 9091.68 8468.29 22084.26 4892.83 5172.83 2895.42 5084.97 1795.71 1293.02 72
CSCG86.41 3686.19 3587.07 3892.91 4572.48 3490.81 3893.56 1273.95 10383.16 6191.07 8275.94 795.19 5879.94 6494.38 4093.55 53
Regformer-286.63 3286.53 3086.95 3989.33 10971.24 4888.43 10092.05 6482.50 186.88 1890.09 10174.45 1395.61 4284.38 2790.63 7194.01 29
TSAR-MVS + GP.85.71 4585.33 4686.84 4091.34 6572.50 3389.07 8187.28 21476.41 6085.80 2490.22 9974.15 2195.37 5581.82 4891.88 5892.65 82
test1286.80 4192.63 5070.70 5991.79 7982.71 6871.67 3596.16 3294.50 3693.54 54
DeepPCF-MVS80.84 188.10 888.56 886.73 4292.24 5569.03 8489.57 6893.39 1877.53 3989.79 894.12 2578.98 296.58 2385.66 1495.72 1194.58 8
SD-MVS88.06 988.50 986.71 4392.60 5372.71 2691.81 2693.19 2377.87 3290.32 794.00 2874.83 1193.78 12087.63 894.27 4393.65 49
Regformer-186.41 3686.33 3186.64 4489.33 10970.93 5488.43 10091.39 9582.14 386.65 1990.09 10174.39 1695.01 6783.97 3390.63 7193.97 31
agg_prior186.22 3986.09 3886.62 4592.85 4671.94 4388.59 9791.78 8068.96 20584.41 4593.18 4274.94 1094.93 6884.75 2495.33 2193.01 74
3Dnovator76.31 583.38 6982.31 7686.59 4687.94 15972.94 2490.64 4192.14 6277.21 4275.47 18492.83 5158.56 17394.72 8273.24 12692.71 5492.13 100
HPM-MVS_fast85.35 5184.95 5286.57 4793.69 2970.58 6092.15 2291.62 8573.89 10782.67 6994.09 2662.60 12695.54 4580.93 5592.93 5193.57 52
Regformer-485.68 4685.45 4486.35 4888.95 12669.67 7488.29 11091.29 9781.73 585.36 2890.01 10472.62 3095.35 5683.28 3787.57 10694.03 27
test_prior386.73 2986.86 2886.33 4992.61 5169.59 7688.85 8792.97 3475.41 8084.91 3493.54 3374.28 1895.48 4683.31 3595.86 893.91 33
test_prior86.33 4992.61 5169.59 7692.97 3495.48 4693.91 33
MVS_111021_HR85.14 5484.75 5486.32 5191.65 6372.70 2785.98 18790.33 12576.11 6982.08 7391.61 6971.36 3894.17 10081.02 5392.58 5592.08 101
APD-MVS_3200maxsize85.97 4185.88 3986.22 5292.69 4969.53 7891.93 2492.99 3173.54 11885.94 2194.51 1365.80 8495.61 4283.04 4192.51 5693.53 55
DP-MVS Recon83.11 7282.09 7886.15 5394.44 1270.92 5588.79 8992.20 5970.53 17579.17 10391.03 8564.12 9696.03 3468.39 17190.14 7791.50 114
EPNet83.72 6282.92 6886.14 5484.22 22969.48 7991.05 3685.27 23481.30 876.83 15391.65 6666.09 8095.56 4476.00 9693.85 4793.38 57
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
casdiffmvs83.96 5883.25 6286.07 5588.48 14369.60 7589.26 7392.40 5368.07 22182.82 6590.03 10369.77 5294.86 7681.79 4986.64 12393.75 42
abl_685.23 5284.95 5286.07 5592.23 5670.48 6190.80 3992.08 6373.51 11985.26 2994.16 2362.75 11995.92 3982.46 4791.30 6591.81 108
canonicalmvs85.91 4285.87 4086.04 5789.84 9169.44 8290.45 4793.00 2976.70 5788.01 1491.23 7773.28 2493.91 11181.50 5288.80 9194.77 6
casdiffmvs184.76 5684.33 5686.04 5789.40 10668.78 9189.67 6592.54 4766.43 23785.41 2690.75 9072.88 2794.76 8081.64 5090.24 7694.57 10
alignmvs85.48 4785.32 4785.96 5989.51 10369.47 8089.74 6292.47 4876.17 6887.73 1691.46 7470.32 4693.78 12081.51 5188.95 8794.63 7
DELS-MVS85.41 5085.30 4885.77 6088.49 14267.93 11385.52 20993.44 1578.70 2883.63 5889.03 12974.57 1295.71 4180.26 6294.04 4693.66 44
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
Regformer-385.23 5285.07 5085.70 6188.95 12669.01 8688.29 11089.91 14580.95 985.01 3190.01 10472.45 3194.19 9882.50 4687.57 10693.90 35
UA-Net85.08 5584.96 5185.45 6292.07 5868.07 11189.78 6190.86 10882.48 284.60 4393.20 4169.35 5695.22 5771.39 14690.88 6993.07 69
Vis-MVSNetpermissive83.46 6682.80 7085.43 6390.25 8268.74 9590.30 5090.13 13476.33 6680.87 9192.89 4961.00 15594.20 9772.45 13590.97 6793.35 59
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
EI-MVSNet-Vis-set84.19 5783.81 5785.31 6488.18 15267.85 11487.66 12589.73 14980.05 1782.95 6289.59 11470.74 4394.82 7780.66 5984.72 14293.28 61
mvs-test180.88 10479.40 12385.29 6585.13 21669.75 7389.28 7188.10 19974.99 8876.44 16386.72 19157.27 18494.26 9673.53 12283.18 16791.87 105
MAR-MVS81.84 8880.70 9585.27 6691.32 6671.53 4789.82 5890.92 10569.77 18678.50 11286.21 21762.36 13394.52 8665.36 19492.05 5789.77 190
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
Effi-MVS+83.62 6483.08 6485.24 6788.38 14867.45 11988.89 8589.15 16775.50 7982.27 7188.28 14869.61 5494.45 8877.81 7987.84 10493.84 39
MVSFormer82.85 7582.05 7985.24 6787.35 18370.21 6390.50 4490.38 12068.55 21081.32 8389.47 11761.68 14093.46 13978.98 6890.26 7492.05 102
OPM-MVS83.50 6582.95 6785.14 6988.79 13470.95 5289.13 8091.52 8977.55 3880.96 9091.75 6460.71 15894.50 8779.67 6586.51 12689.97 179
HQP_MVS83.64 6383.14 6385.14 6990.08 8668.71 9791.25 3292.44 4979.12 2378.92 10691.00 8660.42 16495.38 5378.71 7086.32 12891.33 118
EI-MVSNet-UG-set83.81 6083.38 6085.09 7187.87 16067.53 11887.44 13689.66 15079.74 1882.23 7289.41 12370.24 4794.74 8179.95 6383.92 14992.99 75
QAPM80.88 10479.50 12185.03 7288.01 15868.97 8891.59 2792.00 6866.63 23575.15 19792.16 5657.70 17895.45 4863.52 20588.76 9290.66 140
PCF-MVS73.52 780.38 12578.84 13985.01 7387.71 17568.99 8783.65 24691.46 9463.00 27177.77 13790.28 9666.10 7995.09 6561.40 22588.22 10390.94 129
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
nrg03083.88 5983.53 5884.96 7486.77 19669.28 8390.46 4692.67 4374.79 9282.95 6291.33 7672.70 2993.09 15780.79 5879.28 21892.50 87
VDD-MVS83.01 7482.36 7584.96 7491.02 7066.40 13588.91 8488.11 19877.57 3584.39 4793.29 4052.19 22493.91 11177.05 8888.70 9394.57 10
PVSNet_Blended_VisFu82.62 7881.83 8384.96 7490.80 7569.76 7288.74 9491.70 8369.39 19178.96 10588.46 14365.47 8694.87 7574.42 11288.57 9690.24 159
CPTT-MVS83.73 6183.33 6184.92 7793.28 3770.86 5692.09 2390.38 12068.75 20779.57 9992.83 5160.60 16293.04 16180.92 5691.56 6290.86 131
OMC-MVS82.69 7681.97 8284.85 7888.75 13667.42 12087.98 11790.87 10774.92 9179.72 9891.65 6662.19 13793.96 10675.26 10886.42 12793.16 67
PAPM_NR83.02 7382.41 7384.82 7992.47 5466.37 13687.93 12191.80 7873.82 11277.32 14590.66 9267.90 6594.90 7270.37 15289.48 8493.19 66
lupinMVS81.39 9880.27 10584.76 8087.35 18370.21 6385.55 20586.41 22262.85 27481.32 8388.61 13861.68 14092.24 18578.41 7490.26 7491.83 106
jason81.39 9880.29 10484.70 8186.63 19769.90 7085.95 18886.77 21863.24 26881.07 8989.47 11761.08 15492.15 18678.33 7590.07 7992.05 102
jason: jason.
EPP-MVSNet83.40 6883.02 6684.57 8290.13 8364.47 18592.32 1890.73 10974.45 9779.35 10291.10 8069.05 5995.12 6072.78 12987.22 11394.13 22
UGNet80.83 10879.59 11684.54 8388.04 15668.09 11089.42 6988.16 19776.95 4876.22 16989.46 11949.30 27493.94 10868.48 16990.31 7391.60 110
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
LPG-MVS_test82.08 8381.27 8784.50 8489.23 11768.76 9390.22 5291.94 7275.37 8276.64 15891.51 7154.29 20794.91 7078.44 7283.78 15089.83 183
LGP-MVS_train84.50 8489.23 11768.76 9391.94 7275.37 8276.64 15891.51 7154.29 20794.91 7078.44 7283.78 15089.83 183
MSLP-MVS++85.43 4985.76 4384.45 8691.93 6070.24 6290.71 4092.86 3677.46 4184.22 4992.81 5467.16 7392.94 16480.36 6094.35 4190.16 161
Effi-MVS+-dtu80.03 13678.57 14484.42 8785.13 21668.74 9588.77 9088.10 19974.99 8874.97 20183.49 26757.27 18493.36 14473.53 12280.88 19291.18 122
HQP-MVS82.61 7982.02 8084.37 8889.33 10966.98 12889.17 7592.19 6076.41 6077.23 14890.23 9860.17 16795.11 6177.47 8285.99 13391.03 125
ACMP74.13 681.51 9680.57 9784.36 8989.42 10568.69 10089.97 5691.50 9374.46 9675.04 20090.41 9553.82 21294.54 8477.56 8182.91 17089.86 182
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
原ACMM184.35 9093.01 4468.79 9092.44 4963.96 26681.09 8891.57 7066.06 8195.45 4867.19 18094.82 3288.81 216
PS-MVSNAJss82.07 8481.31 8684.34 9186.51 19867.27 12489.27 7291.51 9071.75 15579.37 10190.22 9963.15 10794.27 9277.69 8082.36 17991.49 115
thisisatest053079.40 15077.76 16584.31 9287.69 17765.10 16387.36 13784.26 24470.04 18277.42 14288.26 15049.94 26794.79 7970.20 15384.70 14393.03 71
CLD-MVS82.31 8181.65 8484.29 9388.47 14467.73 11785.81 19692.35 5575.78 7278.33 12086.58 20464.01 9794.35 8976.05 9587.48 11190.79 132
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
API-MVS81.99 8681.23 8884.26 9490.94 7170.18 6891.10 3589.32 16071.51 16178.66 11088.28 14865.26 8795.10 6464.74 20191.23 6687.51 252
114514_t80.68 11579.51 12084.20 9594.09 2667.27 12489.64 6791.11 10258.75 30874.08 20790.72 9158.10 17695.04 6669.70 15989.42 8590.30 158
IS-MVSNet83.15 7082.81 6984.18 9689.94 8963.30 21391.59 2788.46 19579.04 2579.49 10092.16 5665.10 8994.28 9167.71 17291.86 5994.95 3
MVS_111021_LR82.61 7982.11 7784.11 9788.82 13171.58 4685.15 21486.16 22774.69 9480.47 9491.04 8362.29 13490.55 23780.33 6190.08 7890.20 160
Anonymous2024052980.19 13178.89 13884.10 9890.60 7664.75 17288.95 8390.90 10665.97 24480.59 9391.17 7949.97 26593.73 12969.16 16582.70 17593.81 40
OpenMVScopyleft72.83 1079.77 14178.33 15284.09 9985.17 21369.91 6990.57 4290.97 10466.70 23172.17 23291.91 6154.70 20493.96 10661.81 22290.95 6888.41 236
AdaColmapbinary80.58 11979.42 12284.06 10093.09 4368.91 8989.36 7088.97 17769.27 19575.70 18389.69 10957.20 18795.77 4063.06 20988.41 10187.50 253
112180.84 10679.77 11184.05 10193.11 4270.78 5784.66 22385.42 23357.37 31881.76 8092.02 5963.41 10094.12 10167.28 17792.93 5187.26 259
VDDNet81.52 9480.67 9684.05 10190.44 7964.13 19289.73 6385.91 23071.11 16583.18 6093.48 3550.54 26093.49 13873.40 12488.25 10294.54 12
xiu_mvs_v1_base_debu80.80 11179.72 11384.03 10387.35 18370.19 6585.56 20288.77 18669.06 20081.83 7488.16 15150.91 24792.85 16678.29 7687.56 10889.06 201
xiu_mvs_v1_base80.80 11179.72 11384.03 10387.35 18370.19 6585.56 20288.77 18669.06 20081.83 7488.16 15150.91 24792.85 16678.29 7687.56 10889.06 201
xiu_mvs_v1_base_debi80.80 11179.72 11384.03 10387.35 18370.19 6585.56 20288.77 18669.06 20081.83 7488.16 15150.91 24792.85 16678.29 7687.56 10889.06 201
PAPR81.66 9280.89 9483.99 10690.27 8164.00 19686.76 16691.77 8268.84 20677.13 15289.50 11567.63 6794.88 7467.55 17488.52 9993.09 68
XVG-OURS80.41 12179.23 13283.97 10785.64 20769.02 8583.03 25990.39 11971.09 16677.63 13991.49 7354.62 20691.35 21975.71 10183.47 15991.54 112
XVG-OURS-SEG-HR80.81 10979.76 11283.96 10885.60 20868.78 9183.54 24990.50 11770.66 17376.71 15691.66 6560.69 15991.26 22176.94 8981.58 18691.83 106
HyFIR lowres test77.53 19275.40 21183.94 10989.59 9866.62 13280.36 27988.64 19156.29 32476.45 16085.17 24457.64 17993.28 14661.34 22783.10 16991.91 104
tttt051779.40 15077.91 15983.90 11088.10 15463.84 19988.37 10784.05 24671.45 16276.78 15489.12 12649.93 26994.89 7370.18 15483.18 16792.96 76
test_normal79.81 14078.45 14683.89 11182.70 27965.40 15285.82 19589.48 15569.39 19170.12 25885.66 23457.15 18893.71 13077.08 8788.62 9592.56 84
DI_MVS_plusplus_test79.89 13978.58 14383.85 11282.89 27565.32 15686.12 18489.55 15269.64 19070.55 24985.82 23157.24 18693.81 11876.85 9088.55 9792.41 90
PS-MVSNAJ81.69 9081.02 9383.70 11389.51 10368.21 10984.28 23890.09 13570.79 16981.26 8785.62 23663.15 10794.29 9075.62 10388.87 9088.59 228
Test477.83 18575.90 20283.62 11480.24 30965.25 15885.27 21090.67 11069.03 20366.48 29983.75 26343.07 30793.00 16375.93 9788.66 9492.62 83
xiu_mvs_v2_base81.69 9081.05 9283.60 11589.15 12068.03 11284.46 23190.02 13970.67 17281.30 8686.53 20763.17 10694.19 9875.60 10488.54 9888.57 230
ACMM73.20 880.78 11479.84 11083.58 11689.31 11468.37 10489.99 5591.60 8670.28 17977.25 14689.66 11053.37 21593.53 13774.24 11582.85 17188.85 214
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LFMVS81.82 8981.23 8883.57 11791.89 6163.43 21189.84 5781.85 28177.04 4783.21 5993.10 4352.26 22393.43 14371.98 14189.95 8093.85 37
Fast-Effi-MVS+80.81 10979.92 10883.47 11888.85 12864.51 17985.53 20789.39 15870.79 16978.49 11385.06 24767.54 6893.58 13267.03 18386.58 12492.32 92
CHOSEN 1792x268877.63 19175.69 20383.44 11989.98 8868.58 10278.70 29687.50 21156.38 32375.80 17886.84 18758.67 17291.40 21761.58 22485.75 13690.34 157
新几何183.42 12093.13 4070.71 5885.48 23257.43 31781.80 7791.98 6063.28 10292.27 18364.60 20292.99 5087.27 258
DP-MVS76.78 20874.57 22483.42 12093.29 3669.46 8188.55 9983.70 25063.98 26570.20 25488.89 13054.01 21194.80 7846.66 31381.88 18386.01 288
MVS_Test83.15 7083.06 6583.41 12286.86 19363.21 21686.11 18592.00 6874.31 9882.87 6489.44 12270.03 4893.21 14877.39 8488.50 10093.81 40
LS3D76.95 20674.82 22283.37 12390.45 7867.36 12389.15 7986.94 21761.87 28469.52 26790.61 9351.71 24094.53 8546.38 31686.71 12288.21 238
IB-MVS68.01 1575.85 22873.36 23683.31 12484.76 22066.03 13983.38 25085.06 23670.21 18169.40 26881.05 29645.76 29594.66 8365.10 19775.49 26489.25 198
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
MG-MVS83.41 6783.45 5983.28 12592.74 4862.28 23088.17 11489.50 15475.22 8581.49 8192.74 5566.75 7495.11 6172.85 12891.58 6192.45 88
jajsoiax79.29 15377.96 15783.27 12684.68 22266.57 13489.25 7490.16 13369.20 19775.46 18589.49 11645.75 29693.13 15576.84 9180.80 19490.11 164
test_djsdf80.30 12779.32 12683.27 12683.98 24665.37 15590.50 4490.38 12068.55 21076.19 17088.70 13456.44 19193.46 13978.98 6880.14 20590.97 128
0601test81.17 10080.47 10083.24 12889.13 12163.62 20186.21 18189.95 14172.43 14681.78 7889.61 11257.50 18193.58 13270.75 14786.90 11892.52 85
Anonymous2024052181.17 10080.47 10083.24 12889.13 12163.62 20186.21 18189.95 14172.43 14681.78 7889.61 11257.50 18193.58 13270.75 14786.90 11892.52 85
mvs_tets79.13 15677.77 16483.22 13084.70 22166.37 13689.17 7590.19 13269.38 19375.40 18889.46 11944.17 30293.15 15376.78 9280.70 19690.14 162
thisisatest051577.33 20275.38 21283.18 13185.27 21263.80 20082.11 26483.27 25865.06 25275.91 17583.84 26149.54 27194.27 9267.24 17986.19 13091.48 117
CDS-MVSNet79.07 15777.70 16683.17 13287.60 17868.23 10884.40 23586.20 22667.49 22876.36 16486.54 20661.54 14390.79 23461.86 22187.33 11290.49 151
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v780.24 12879.26 13183.15 13384.07 24364.94 16787.56 13190.67 11072.26 15078.28 12286.51 20861.45 14594.03 10575.14 10977.41 23290.49 151
v7n78.97 16077.58 16983.14 13483.45 25965.51 15088.32 10891.21 9973.69 11472.41 22986.32 21557.93 17793.81 11869.18 16475.65 26190.11 164
BH-RMVSNet79.61 14378.44 14883.14 13489.38 10865.93 14284.95 21887.15 21573.56 11778.19 12889.79 10856.67 19093.36 14459.53 24086.74 12190.13 163
UniMVSNet (Re)81.60 9381.11 9183.09 13688.38 14864.41 18787.60 12693.02 2878.42 3178.56 11188.16 15169.78 5193.26 14769.58 16176.49 25191.60 110
PLCcopyleft70.83 1178.05 17776.37 18883.08 13791.88 6267.80 11588.19 11389.46 15664.33 26169.87 26488.38 14553.66 21393.58 13258.86 24582.73 17387.86 245
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v119279.59 14478.43 14983.07 13883.55 25764.52 17786.93 15890.58 11470.83 16877.78 13685.90 22759.15 17093.94 10873.96 11777.19 23690.76 133
v2v48280.23 12979.29 13083.05 13983.62 25564.14 19187.04 15489.97 14073.61 11578.18 12987.22 17761.10 15393.82 11776.11 9476.78 24991.18 122
TAMVS78.89 16277.51 17083.03 14087.80 17067.79 11684.72 22285.05 23767.63 22476.75 15587.70 16362.25 13590.82 23358.53 24987.13 11490.49 151
v114480.03 13679.03 13583.01 14183.78 25364.51 17987.11 15290.57 11571.96 15478.08 13286.20 21861.41 14693.94 10874.93 11077.23 23490.60 143
cascas76.72 20974.64 22382.99 14285.78 20565.88 14482.33 26289.21 16660.85 29072.74 21781.02 29747.28 28493.75 12467.48 17585.02 13889.34 196
anonymousdsp78.60 16577.15 17582.98 14380.51 30767.08 12687.24 14589.53 15365.66 24775.16 19687.19 17952.52 21792.25 18477.17 8679.34 21789.61 193
v1neww80.40 12279.54 11782.98 14384.10 23764.51 17987.57 12890.22 12973.25 12478.47 11486.65 19962.83 11593.86 11475.72 9977.02 23890.58 146
v7new80.40 12279.54 11782.98 14384.10 23764.51 17987.57 12890.22 12973.25 12478.47 11486.65 19962.83 11593.86 11475.72 9977.02 23890.58 146
v680.40 12279.54 11782.98 14384.09 23964.50 18387.57 12890.22 12973.25 12478.47 11486.63 20162.84 11493.86 11475.73 9877.02 23890.58 146
v1079.74 14278.67 14082.97 14784.06 24464.95 16687.88 12390.62 11373.11 13075.11 19886.56 20561.46 14494.05 10473.68 11875.55 26389.90 180
diffmvs182.63 7782.51 7182.96 14883.87 24863.47 20885.19 21189.42 15775.58 7781.38 8289.89 10667.42 7191.69 20681.01 5488.88 8993.71 43
UniMVSNet_NR-MVSNet81.88 8781.54 8582.92 14988.46 14563.46 20987.13 15092.37 5480.19 1578.38 11889.14 12571.66 3693.05 15970.05 15576.46 25292.25 95
DU-MVS81.12 10280.52 9982.90 15087.80 17063.46 20987.02 15591.87 7679.01 2678.38 11889.07 12765.02 9093.05 15970.05 15576.46 25292.20 97
PVSNet_Blended80.98 10380.34 10282.90 15088.85 12865.40 15284.43 23392.00 6867.62 22578.11 13085.05 24866.02 8294.27 9271.52 14489.50 8389.01 208
testing_275.73 22973.34 23782.89 15277.37 32965.22 15984.10 24190.54 11669.09 19960.46 32581.15 29540.48 32192.84 16976.36 9380.54 20090.60 143
v114180.19 13179.31 12782.85 15383.84 25064.12 19387.14 14790.08 13673.13 12778.27 12386.39 21062.67 12493.75 12475.40 10676.83 24690.68 137
divwei89l23v2f11280.19 13179.31 12782.85 15383.84 25064.11 19587.13 15090.08 13673.13 12778.27 12386.39 21062.69 12293.75 12475.40 10676.82 24790.68 137
v180.19 13179.31 12782.85 15383.83 25264.12 19387.14 14790.07 13873.13 12778.27 12386.38 21462.72 12193.75 12475.41 10576.82 24790.68 137
CANet_DTU80.61 11679.87 10982.83 15685.60 20863.17 21987.36 13788.65 19076.37 6475.88 17688.44 14453.51 21493.07 15873.30 12589.74 8292.25 95
V4279.38 15278.24 15482.83 15681.10 30165.50 15185.55 20589.82 14671.57 16078.21 12786.12 21960.66 16093.18 15275.64 10275.46 26589.81 185
Anonymous2023121178.97 16077.69 16782.81 15890.54 7764.29 18990.11 5491.51 9065.01 25476.16 17488.13 15550.56 25993.03 16269.68 16077.56 23091.11 124
v192192079.22 15478.03 15682.80 15983.30 26263.94 19886.80 16290.33 12569.91 18477.48 14185.53 23858.44 17493.75 12473.60 12176.85 24490.71 136
v879.97 13879.02 13682.80 15984.09 23964.50 18387.96 11890.29 12874.13 10275.24 19586.81 18862.88 11293.89 11374.39 11375.40 26690.00 172
TAPA-MVS73.13 979.15 15577.94 15882.79 16189.59 9862.99 22388.16 11591.51 9065.77 24577.14 15191.09 8160.91 15693.21 14850.26 29087.05 11592.17 99
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v14419279.47 14778.37 15082.78 16283.35 26063.96 19786.96 15690.36 12369.99 18377.50 14085.67 23360.66 16093.77 12274.27 11476.58 25090.62 141
NR-MVSNet80.23 12979.38 12482.78 16287.80 17063.34 21286.31 17891.09 10379.01 2672.17 23289.07 12767.20 7292.81 17066.08 18975.65 26192.20 97
v5277.94 18376.37 18882.67 16479.39 32165.52 14886.43 17389.94 14372.28 14872.15 23484.94 25055.70 19593.44 14173.64 11972.84 28989.06 201
V477.95 18176.37 18882.67 16479.40 32065.52 14886.43 17389.94 14372.28 14872.14 23584.95 24955.72 19493.44 14173.64 11972.86 28889.05 205
v124078.99 15977.78 16382.64 16683.21 26463.54 20586.62 16990.30 12769.74 18977.33 14485.68 23257.04 18993.76 12373.13 12776.92 24190.62 141
Fast-Effi-MVS+-dtu78.02 17876.49 18582.62 16783.16 26866.96 13086.94 15787.45 21372.45 14371.49 24384.17 25754.79 20391.58 21467.61 17380.31 20289.30 197
F-COLMAP76.38 21874.33 22982.50 16889.28 11566.95 13188.41 10389.03 16964.05 26366.83 29588.61 13846.78 28792.89 16557.48 25778.55 22087.67 248
TranMVSNet+NR-MVSNet80.84 10680.31 10382.42 16987.85 16162.33 22887.74 12491.33 9680.55 1277.99 13389.86 10765.23 8892.62 17267.05 18275.24 27092.30 93
MVSTER79.01 15877.88 16082.38 17083.07 26964.80 17084.08 24288.95 17969.01 20478.69 10887.17 18054.70 20492.43 17774.69 11180.57 19889.89 181
PVSNet_BlendedMVS80.60 11780.02 10682.36 17188.85 12865.40 15286.16 18392.00 6869.34 19478.11 13086.09 22066.02 8294.27 9271.52 14482.06 18087.39 254
diffmvs81.48 9781.21 9082.31 17283.28 26362.72 22585.09 21588.63 19274.99 8878.31 12188.81 13365.80 8491.36 21879.03 6686.95 11792.84 78
EI-MVSNet80.52 12079.98 10782.12 17384.28 22663.19 21886.41 17588.95 17974.18 10078.69 10887.54 16966.62 7592.43 17772.57 13480.57 19890.74 135
IterMVS-LS80.06 13579.38 12482.11 17485.89 20363.20 21786.79 16389.34 15974.19 9975.45 18686.72 19166.62 7592.39 17972.58 13376.86 24390.75 134
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
BH-untuned79.47 14778.60 14282.05 17589.19 11965.91 14386.07 18688.52 19472.18 15175.42 18787.69 16461.15 15293.54 13660.38 23286.83 12086.70 272
ACMH+68.96 1476.01 22674.01 23182.03 17688.60 13965.31 15788.86 8687.55 20970.25 18067.75 28687.47 17141.27 31793.19 15158.37 25075.94 25787.60 250
Anonymous20240521178.25 17077.01 17781.99 17791.03 6960.67 24284.77 22183.90 24870.65 17480.00 9691.20 7841.08 31991.43 21665.21 19585.26 13793.85 37
GA-MVS76.87 20775.17 22081.97 17882.75 27762.58 22681.44 27386.35 22572.16 15374.74 20382.89 27046.20 29192.02 18968.85 16781.09 19091.30 120
CNLPA78.08 17676.79 18281.97 17890.40 8071.07 5087.59 12784.55 24066.03 24372.38 23089.64 11157.56 18086.04 29459.61 23883.35 16488.79 217
v74877.97 18076.65 18481.92 18082.29 28563.28 21487.53 13290.35 12473.50 12070.76 24885.55 23758.28 17592.81 17068.81 16872.76 29089.67 192
MVS78.19 17476.99 17881.78 18185.66 20666.99 12784.66 22390.47 11855.08 32872.02 23785.27 24363.83 9894.11 10366.10 18889.80 8184.24 306
v1377.50 19776.07 20081.77 18284.23 22865.07 16487.34 13988.91 18472.92 13368.35 28381.97 28562.53 13091.69 20672.20 14066.22 32588.56 231
ACMH67.68 1675.89 22773.93 23281.77 18288.71 13766.61 13388.62 9689.01 17269.81 18566.78 29686.70 19641.95 31691.51 21555.64 26778.14 22687.17 261
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
v1277.51 19576.09 19981.76 18484.22 22964.99 16587.30 14288.93 18372.92 13368.48 28281.97 28562.54 12991.70 20572.24 13966.21 32688.58 229
V977.52 19376.11 19881.73 18584.19 23364.89 16887.26 14488.94 18272.87 13668.65 27881.96 28762.65 12591.72 20272.27 13866.24 32488.60 226
V1477.52 19376.12 19581.70 18684.15 23464.77 17187.21 14688.95 17972.80 13768.79 27581.94 28862.69 12291.72 20272.31 13766.27 32388.60 226
v1777.68 18876.35 19281.69 18784.15 23464.65 17487.33 14088.99 17472.70 14069.25 27382.07 28162.82 11791.79 19672.69 13267.15 31688.63 222
v1677.69 18776.36 19181.68 18884.15 23464.63 17687.33 14088.99 17472.69 14169.31 27282.08 28062.80 11891.79 19672.70 13167.23 31488.63 222
v1577.51 19576.12 19581.66 18984.09 23964.65 17487.14 14788.96 17872.76 13868.90 27481.91 28962.74 12091.73 20072.32 13666.29 32288.61 225
v1877.67 19076.35 19281.64 19084.09 23964.47 18587.27 14389.01 17272.59 14269.39 26982.04 28262.85 11391.80 19572.72 13067.20 31588.63 222
VNet82.21 8282.41 7381.62 19190.82 7460.93 23884.47 22989.78 14776.36 6584.07 5191.88 6364.71 9290.26 23970.68 14988.89 8893.66 44
XVG-ACMP-BASELINE76.11 22574.27 23081.62 19183.20 26564.67 17383.60 24889.75 14869.75 18771.85 23887.09 18432.78 34092.11 18769.99 15780.43 20188.09 240
v1177.45 19876.06 20181.59 19384.22 22964.52 17787.11 15289.02 17072.76 13868.76 27681.90 29062.09 13891.71 20471.98 14166.73 31788.56 231
PAPM77.68 18876.40 18781.51 19487.29 18861.85 23483.78 24589.59 15164.74 25671.23 24488.70 13462.59 12793.66 13152.66 28087.03 11689.01 208
v14878.72 16377.80 16281.47 19582.73 27861.96 23386.30 17988.08 20173.26 12376.18 17185.47 24062.46 13292.36 18171.92 14373.82 28390.09 166
LTVRE_ROB69.57 1376.25 21974.54 22681.41 19688.60 13964.38 18879.24 28989.12 16870.76 17169.79 26687.86 15749.09 27693.20 15056.21 26680.16 20386.65 273
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
GBi-Net78.40 16777.40 17181.40 19787.60 17863.01 22088.39 10489.28 16171.63 15775.34 19087.28 17354.80 20091.11 22462.72 21079.57 21390.09 166
test178.40 16777.40 17181.40 19787.60 17863.01 22088.39 10489.28 16171.63 15775.34 19087.28 17354.80 20091.11 22462.72 21079.57 21390.09 166
FMVSNet177.44 19976.12 19581.40 19786.81 19563.01 22088.39 10489.28 16170.49 17674.39 20687.28 17349.06 27791.11 22460.91 22978.52 22190.09 166
FMVSNet278.20 17377.21 17481.20 20087.60 17862.89 22487.47 13589.02 17071.63 15775.29 19487.28 17354.80 20091.10 22762.38 21479.38 21689.61 193
TR-MVS77.44 19976.18 19481.20 20088.24 15163.24 21584.61 22786.40 22367.55 22777.81 13586.48 20954.10 20993.15 15357.75 25682.72 17487.20 260
ab-mvs79.51 14578.97 13781.14 20288.46 14560.91 23983.84 24489.24 16570.36 17779.03 10488.87 13163.23 10590.21 24165.12 19682.57 17792.28 94
MVP-Stereo76.12 22474.46 22881.13 20385.37 21169.79 7184.42 23487.95 20365.03 25367.46 28985.33 24253.28 21691.73 20058.01 25483.27 16581.85 325
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
FIs82.07 8482.42 7281.04 20488.80 13358.34 25988.26 11293.49 1476.93 4978.47 11491.04 8369.92 5092.34 18269.87 15884.97 13992.44 89
FMVSNet377.88 18476.85 18080.97 20586.84 19462.36 22786.52 17288.77 18671.13 16475.34 19086.66 19854.07 21091.10 22762.72 21079.57 21389.45 195
BH-w/o78.21 17277.33 17380.84 20688.81 13265.13 16284.87 21987.85 20569.75 18774.52 20584.74 25461.34 14793.11 15658.24 25285.84 13584.27 305
COLMAP_ROBcopyleft66.92 1773.01 26270.41 26980.81 20787.13 19065.63 14788.30 10984.19 24562.96 27263.80 31687.69 16438.04 33092.56 17546.66 31374.91 27284.24 306
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
VPA-MVSNet80.60 11780.55 9880.76 20888.07 15560.80 24186.86 16091.58 8775.67 7580.24 9589.45 12163.34 10190.25 24070.51 15179.22 21991.23 121
EG-PatchMatch MVS74.04 24171.82 25780.71 20984.92 21967.42 12085.86 19188.08 20166.04 24264.22 31383.85 26035.10 33992.56 17557.44 25880.83 19382.16 324
MSDG73.36 25870.99 26580.49 21084.51 22465.80 14580.71 27686.13 22865.70 24665.46 30483.74 26444.60 29990.91 23251.13 28576.89 24284.74 302
pmmvs474.03 24271.91 25480.39 21181.96 28868.32 10581.45 27282.14 27459.32 30269.87 26485.13 24552.40 22088.13 28060.21 23474.74 27484.73 303
HY-MVS69.67 1277.95 18177.15 17580.36 21287.57 18260.21 24683.37 25787.78 20666.11 24075.37 18987.06 18663.27 10390.48 23861.38 22682.43 17890.40 156
mvs_anonymous79.42 14979.11 13480.34 21384.45 22557.97 26582.59 26087.62 20867.40 23076.17 17388.56 14168.47 6189.59 24970.65 15086.05 13293.47 56
1112_ss77.40 20176.43 18680.32 21489.11 12560.41 24583.65 24687.72 20762.13 28273.05 21586.72 19162.58 12889.97 24362.11 21980.80 19490.59 145
tpmp4_e2373.45 25071.17 26480.31 21583.55 25759.56 25081.88 26582.33 27157.94 31370.51 25181.62 29151.19 24591.63 21253.96 27477.51 23189.75 191
WR-MVS79.49 14679.22 13380.27 21688.79 13458.35 25885.06 21688.61 19378.56 2977.65 13888.34 14663.81 9990.66 23664.98 19977.22 23591.80 109
131476.53 21275.30 21580.21 21783.93 24762.32 22984.66 22388.81 18560.23 29470.16 25784.07 25955.30 19890.73 23567.37 17683.21 16687.59 251
semantic-postprocess80.11 21882.69 28064.85 16983.47 25569.16 19870.49 25284.15 25850.83 25188.15 27969.23 16372.14 29487.34 256
FC-MVSNet-test81.52 9482.02 8080.03 21988.42 14755.97 29787.95 11993.42 1777.10 4577.38 14390.98 8869.96 4991.79 19668.46 17084.50 14492.33 91
testdata79.97 22090.90 7264.21 19084.71 23859.27 30385.40 2792.91 4862.02 13989.08 26568.95 16691.37 6486.63 274
thres40076.50 21375.37 21379.86 22189.13 12157.65 27185.17 21283.60 25173.41 12176.45 16086.39 21052.12 22591.95 19048.33 29883.75 15290.00 172
test_040272.79 26570.44 26879.84 22288.13 15365.99 14185.93 18984.29 24265.57 24867.40 29185.49 23946.92 28692.61 17335.88 34374.38 27780.94 328
OurMVSNet-221017-074.26 24072.42 24679.80 22383.76 25459.59 24885.92 19086.64 21966.39 23866.96 29487.58 16639.46 32491.60 21365.76 19269.27 30688.22 237
SixPastTwentyTwo73.37 25671.26 26379.70 22485.08 21857.89 26785.57 20183.56 25371.03 16765.66 30385.88 22842.10 31492.57 17459.11 24363.34 33188.65 221
thres600view776.50 21375.44 20979.68 22589.40 10657.16 27685.53 20783.23 25973.79 11376.26 16887.09 18451.89 23191.89 19448.05 30483.72 15790.00 172
CR-MVSNet73.37 25671.27 26279.67 22681.32 29965.19 16075.92 31180.30 29559.92 29772.73 21881.19 29352.50 21886.69 28859.84 23677.71 22787.11 264
RPMNet71.62 27068.94 27779.67 22681.32 29965.19 16075.92 31178.30 31557.60 31672.73 21876.45 32752.30 22286.69 28848.14 30377.71 22787.11 264
tfpn11176.54 21175.51 20879.61 22889.52 10056.99 27985.83 19283.23 25973.94 10476.32 16587.12 18151.89 23192.06 18848.04 30583.73 15689.78 186
AllTest70.96 27568.09 28579.58 22985.15 21463.62 20184.58 22879.83 30062.31 28060.32 32686.73 18932.02 34188.96 27050.28 28871.57 29886.15 283
TestCases79.58 22985.15 21463.62 20179.83 30062.31 28060.32 32686.73 18932.02 34188.96 27050.28 28871.57 29886.15 283
conf200view1176.55 21075.55 20679.57 23189.52 10056.99 27985.83 19283.23 25973.94 10476.32 16587.12 18151.89 23191.95 19048.33 29883.75 15289.78 186
tfpn200view976.42 21675.37 21379.55 23289.13 12157.65 27185.17 21283.60 25173.41 12176.45 16086.39 21052.12 22591.95 19048.33 29883.75 15289.07 199
thres100view90076.50 21375.55 20679.33 23389.52 10056.99 27985.83 19283.23 25973.94 10476.32 16587.12 18151.89 23191.95 19048.33 29883.75 15289.07 199
CostFormer75.24 23573.90 23379.27 23482.65 28158.27 26080.80 27482.73 26861.57 28575.33 19383.13 26955.52 19691.07 23064.98 19978.34 22588.45 234
Test_1112_low_res76.40 21775.44 20979.27 23489.28 11558.09 26181.69 26987.07 21659.53 30172.48 22286.67 19761.30 14889.33 25460.81 23180.15 20490.41 155
DWT-MVSNet_test73.70 24471.86 25579.21 23682.91 27458.94 25382.34 26182.17 27365.21 24971.05 24778.31 31544.21 30190.17 24263.29 20877.28 23388.53 233
K. test v371.19 27368.51 27979.21 23683.04 27157.78 27084.35 23676.91 32372.90 13562.99 31982.86 27139.27 32591.09 22961.65 22352.66 34888.75 218
view60076.20 22075.21 21679.16 23889.64 9355.82 29885.74 19782.06 27673.88 10875.74 17987.85 15851.84 23591.66 20846.75 30983.42 16090.00 172
view80076.20 22075.21 21679.16 23889.64 9355.82 29885.74 19782.06 27673.88 10875.74 17987.85 15851.84 23591.66 20846.75 30983.42 16090.00 172
conf0.05thres100076.20 22075.21 21679.16 23889.64 9355.82 29885.74 19782.06 27673.88 10875.74 17987.85 15851.84 23591.66 20846.75 30983.42 16090.00 172
tfpn76.20 22075.21 21679.16 23889.64 9355.82 29885.74 19782.06 27673.88 10875.74 17987.85 15851.84 23591.66 20846.75 30983.42 16090.00 172
lessismore_v078.97 24281.01 30257.15 27765.99 35761.16 32382.82 27239.12 32691.34 22059.67 23746.92 35288.43 235
pm-mvs177.25 20376.68 18378.93 24384.22 22958.62 25686.41 17588.36 19671.37 16373.31 21188.01 15661.22 15189.15 26464.24 20373.01 28789.03 207
PatchFormer-LS_test74.50 23773.05 23978.86 24482.95 27359.55 25181.65 27082.30 27267.44 22971.62 24178.15 31852.34 22188.92 27265.05 19875.90 25888.12 239
thres20075.55 23174.47 22778.82 24587.78 17357.85 26883.07 25883.51 25472.44 14575.84 17784.42 25652.08 22791.75 19947.41 30783.64 15886.86 268
VPNet78.69 16478.66 14178.76 24688.31 15055.72 30384.45 23286.63 22076.79 5278.26 12690.55 9459.30 16989.70 24866.63 18477.05 23790.88 130
tpm273.26 25971.46 25978.63 24783.34 26156.71 28680.65 27780.40 29456.63 32273.55 20982.02 28351.80 23991.24 22256.35 26578.42 22487.95 242
pmmvs674.69 23673.39 23578.61 24881.38 29657.48 27486.64 16887.95 20364.99 25570.18 25586.61 20250.43 26189.52 25062.12 21870.18 30488.83 215
WR-MVS_H78.51 16678.49 14578.56 24988.02 15756.38 29288.43 10092.67 4377.14 4373.89 20887.55 16866.25 7889.24 25658.92 24473.55 28590.06 170
RPSCF73.23 26071.46 25978.54 25082.50 28359.85 24782.18 26382.84 26758.96 30571.15 24689.41 12345.48 29884.77 30358.82 24671.83 29691.02 127
pmmvs-eth3d70.50 28067.83 28978.52 25177.37 32966.18 13881.82 26681.51 28358.90 30663.90 31580.42 30242.69 31086.28 29358.56 24865.30 32883.11 317
PatchmatchNetpermissive73.12 26171.33 26178.49 25283.18 26660.85 24079.63 28578.57 31364.13 26271.73 23979.81 30851.20 24485.97 29557.40 25976.36 25488.66 220
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
Patchmatch-test173.49 24971.85 25678.41 25384.05 24562.17 23179.96 28379.29 30466.30 23972.38 23079.58 30951.95 23085.08 30155.46 26877.67 22987.99 241
IterMVS74.29 23972.94 24078.35 25481.53 29363.49 20781.58 27182.49 26968.06 22269.99 26183.69 26551.66 24185.54 29765.85 19171.64 29786.01 288
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ITE_SJBPF78.22 25581.77 29060.57 24383.30 25769.25 19667.54 28887.20 17836.33 33687.28 28654.34 27274.62 27586.80 269
ppachtmachnet_test70.04 28467.34 29478.14 25679.80 31461.13 23679.19 29180.59 29059.16 30465.27 30679.29 31046.75 28887.29 28549.33 29466.72 31886.00 290
tfpnnormal74.39 23873.16 23878.08 25786.10 20258.05 26284.65 22687.53 21070.32 17871.22 24585.63 23554.97 19989.86 24443.03 33375.02 27186.32 280
Vis-MVSNet (Re-imp)78.36 16978.45 14678.07 25888.64 13851.78 32686.70 16779.63 30274.14 10175.11 19890.83 8961.29 14989.75 24658.10 25391.60 6092.69 81
TransMVSNet (Re)75.39 23474.56 22577.86 25985.50 21057.10 27886.78 16486.09 22972.17 15271.53 24287.34 17263.01 11189.31 25556.84 26361.83 33487.17 261
PEN-MVS77.73 18677.69 16777.84 26087.07 19153.91 31287.91 12291.18 10077.56 3773.14 21488.82 13261.23 15089.17 26359.95 23572.37 29190.43 154
CP-MVSNet78.22 17178.34 15177.84 26087.83 16854.54 30887.94 12091.17 10177.65 3373.48 21088.49 14262.24 13688.43 27662.19 21674.07 27890.55 149
PS-CasMVS78.01 17978.09 15577.77 26287.71 17554.39 31088.02 11691.22 9877.50 4073.26 21288.64 13760.73 15788.41 27761.88 22073.88 28290.53 150
OpenMVS_ROBcopyleft64.09 1970.56 27968.19 28277.65 26380.26 30859.41 25285.01 21782.96 26658.76 30765.43 30582.33 27637.63 33391.23 22345.34 32276.03 25682.32 322
Patchmatch-RL test70.24 28267.78 29177.61 26477.43 32859.57 24971.16 32670.33 34662.94 27368.65 27872.77 33750.62 25285.49 29869.58 16166.58 32087.77 247
Baseline_NR-MVSNet78.15 17578.33 15277.61 26485.79 20456.21 29586.78 16485.76 23173.60 11677.93 13487.57 16765.02 9088.99 26767.14 18175.33 26787.63 249
DTE-MVSNet76.99 20576.80 18177.54 26686.24 20053.06 32387.52 13390.66 11277.08 4672.50 22088.67 13660.48 16389.52 25057.33 26070.74 30290.05 171
conf0.0173.67 24672.42 24677.42 26787.85 16153.28 31783.38 25079.08 30568.40 21372.45 22386.08 22150.60 25389.19 25744.25 32479.66 20789.78 186
conf0.00273.67 24672.42 24677.42 26787.85 16153.28 31783.38 25079.08 30568.40 21372.45 22386.08 22150.60 25389.19 25744.25 32479.66 20789.78 186
LCM-MVSNet-Re77.05 20476.94 17977.36 26987.20 18951.60 32780.06 28180.46 29375.20 8667.69 28786.72 19162.48 13188.98 26863.44 20689.25 8691.51 113
tpm cat170.57 27868.31 28177.35 27082.41 28457.95 26678.08 30180.22 29852.04 33968.54 28177.66 32252.00 22987.84 28351.77 28172.07 29586.25 281
MS-PatchMatch73.83 24372.67 24277.30 27183.87 24866.02 14081.82 26684.66 23961.37 28868.61 28082.82 27247.29 28388.21 27859.27 24184.32 14777.68 338
EPNet_dtu75.46 23274.86 22177.23 27282.57 28254.60 30786.89 15983.09 26471.64 15666.25 30185.86 22955.99 19388.04 28154.92 27086.55 12589.05 205
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TDRefinement67.49 29664.34 30376.92 27373.47 34261.07 23784.86 22082.98 26559.77 29858.30 33285.13 24526.06 34787.89 28247.92 30660.59 33981.81 326
JIA-IIPM66.32 30562.82 31176.82 27477.09 33161.72 23565.34 34775.38 32758.04 31264.51 31162.32 35042.05 31586.51 29151.45 28469.22 30782.21 323
PatchMatch-RL72.38 26770.90 26676.80 27588.60 13967.38 12279.53 28676.17 32562.75 27669.36 27082.00 28445.51 29784.89 30253.62 27680.58 19778.12 336
tfpn_ndepth73.70 24472.75 24176.52 27687.78 17354.92 30684.32 23780.28 29767.57 22672.50 22084.82 25150.12 26389.44 25345.73 31981.66 18585.20 295
tpmvs71.09 27469.29 27476.49 27782.04 28756.04 29678.92 29481.37 28564.05 26367.18 29378.28 31649.74 27089.77 24549.67 29372.37 29183.67 311
thresconf0.0273.39 25272.42 24676.31 27887.85 16153.28 31783.38 25079.08 30568.40 21372.45 22386.08 22150.60 25389.19 25744.25 32479.66 20786.48 275
tfpn_n40073.39 25272.42 24676.31 27887.85 16153.28 31783.38 25079.08 30568.40 21372.45 22386.08 22150.60 25389.19 25744.25 32479.66 20786.48 275
tfpnconf73.39 25272.42 24676.31 27887.85 16153.28 31783.38 25079.08 30568.40 21372.45 22386.08 22150.60 25389.19 25744.25 32479.66 20786.48 275
tfpnview1173.39 25272.42 24676.31 27887.85 16153.28 31783.38 25079.08 30568.40 21372.45 22386.08 22150.60 25389.19 25744.25 32479.66 20786.48 275
tfpn100073.44 25172.49 24476.29 28287.81 16953.69 31484.05 24378.81 31267.99 22372.09 23686.27 21649.95 26689.04 26644.09 33081.38 18786.15 283
CMPMVSbinary51.72 2170.19 28368.16 28376.28 28373.15 34457.55 27379.47 28783.92 24748.02 34656.48 33984.81 25243.13 30686.42 29262.67 21381.81 18484.89 300
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
USDC70.33 28168.37 28076.21 28480.60 30556.23 29479.19 29186.49 22160.89 28961.29 32285.47 24031.78 34389.47 25253.37 27776.21 25582.94 321
gg-mvs-nofinetune69.95 28567.96 28675.94 28583.07 26954.51 30977.23 30670.29 34763.11 26970.32 25362.33 34943.62 30488.69 27453.88 27587.76 10584.62 304
MDA-MVSNet-bldmvs66.68 30163.66 30575.75 28679.28 32260.56 24473.92 32278.35 31464.43 25950.13 35079.87 30744.02 30383.67 30746.10 31756.86 34283.03 319
PVSNet64.34 1872.08 26970.87 26775.69 28786.21 20156.44 29074.37 32180.73 28962.06 28370.17 25682.23 27842.86 30983.31 31054.77 27184.45 14687.32 257
pmmvs571.55 27170.20 27175.61 28877.83 32656.39 29181.74 26880.89 28657.76 31467.46 28984.49 25549.26 27585.32 30057.08 26275.29 26885.11 299
our_test_369.14 28967.00 29575.57 28979.80 31458.80 25477.96 30277.81 31759.55 30062.90 32078.25 31747.43 28283.97 30551.71 28267.58 31383.93 310
WTY-MVS75.65 23075.68 20475.57 28986.40 19956.82 28377.92 30382.40 27065.10 25176.18 17187.72 16263.13 11080.90 31760.31 23381.96 18189.00 210
Patchmtry70.74 27669.16 27575.49 29180.72 30354.07 31174.94 32080.30 29558.34 30970.01 25981.19 29352.50 21886.54 29053.37 27771.09 30085.87 291
GG-mvs-BLEND75.38 29281.59 29255.80 30279.32 28869.63 34967.19 29273.67 33643.24 30588.90 27350.41 28784.50 14481.45 327
ambc75.24 29373.16 34350.51 33463.05 35187.47 21264.28 31277.81 32117.80 35889.73 24757.88 25560.64 33885.49 292
XXY-MVS75.41 23375.56 20574.96 29483.59 25657.82 26980.59 27883.87 24966.54 23674.93 20288.31 14763.24 10480.09 32162.16 21776.85 24486.97 266
MIMVSNet70.69 27769.30 27374.88 29584.52 22356.35 29375.87 31379.42 30364.59 25767.76 28582.41 27541.10 31881.54 31646.64 31581.34 18886.75 271
ADS-MVSNet266.20 30663.33 30674.82 29679.92 31258.75 25567.55 34375.19 32953.37 33565.25 30775.86 32842.32 31280.53 31941.57 33668.91 30885.18 296
TinyColmap67.30 29964.81 30174.76 29781.92 28956.68 28780.29 28081.49 28460.33 29256.27 34083.22 26824.77 34987.66 28445.52 32069.47 30579.95 332
test-LLR72.94 26472.43 24574.48 29881.35 29758.04 26378.38 29777.46 31966.66 23269.95 26279.00 31348.06 28079.24 32366.13 18684.83 14086.15 283
test-mter71.41 27270.39 27074.48 29881.35 29758.04 26378.38 29777.46 31960.32 29369.95 26279.00 31336.08 33779.24 32366.13 18684.83 14086.15 283
tpm72.37 26871.71 25874.35 30082.19 28652.00 32479.22 29077.29 32164.56 25872.95 21683.68 26651.35 24283.26 31158.33 25175.80 25987.81 246
CVMVSNet72.99 26372.58 24374.25 30184.28 22650.85 33286.41 17583.45 25644.56 34873.23 21387.54 16949.38 27285.70 29665.90 19078.44 22386.19 282
FMVSNet569.50 28767.96 28674.15 30282.97 27255.35 30480.01 28282.12 27562.56 27863.02 31781.53 29236.92 33481.92 31448.42 29774.06 27985.17 298
MIMVSNet168.58 29266.78 29773.98 30380.07 31151.82 32580.77 27584.37 24164.40 26059.75 32982.16 27936.47 33583.63 30842.73 33470.33 30386.48 275
sss73.60 24873.64 23473.51 30482.80 27655.01 30576.12 30981.69 28262.47 27974.68 20485.85 23057.32 18378.11 32960.86 23080.93 19187.39 254
PM-MVS66.41 30464.14 30473.20 30573.92 33956.45 28978.97 29364.96 36063.88 26764.72 31080.24 30319.84 35583.44 30966.24 18564.52 33079.71 333
tpmrst72.39 26672.13 25373.18 30680.54 30649.91 33679.91 28479.08 30563.11 26971.69 24079.95 30555.32 19782.77 31265.66 19373.89 28186.87 267
TESTMET0.1,169.89 28669.00 27672.55 30779.27 32356.85 28278.38 29774.71 33557.64 31568.09 28477.19 32437.75 33176.70 33463.92 20484.09 14884.10 309
LP61.36 31557.78 31872.09 30875.54 33758.53 25767.16 34575.22 32851.90 34154.13 34169.97 34337.73 33280.45 32032.74 34755.63 34477.29 340
CHOSEN 280x42066.51 30364.71 30271.90 30981.45 29463.52 20657.98 35568.95 35453.57 33462.59 32176.70 32546.22 29075.29 34155.25 26979.68 20676.88 344
EPMVS69.02 29068.16 28371.59 31079.61 31749.80 33877.40 30566.93 35662.82 27570.01 25979.05 31145.79 29477.86 33156.58 26475.26 26987.13 263
YYNet165.03 30762.91 30971.38 31175.85 33456.60 28869.12 33774.66 33757.28 31954.12 34277.87 32045.85 29374.48 34349.95 29161.52 33683.05 318
MDA-MVSNet_test_wron65.03 30762.92 30871.37 31275.93 33356.73 28469.09 33874.73 33457.28 31954.03 34377.89 31945.88 29274.39 34449.89 29261.55 33582.99 320
UnsupCasMVSNet_eth67.33 29865.99 29971.37 31273.48 34151.47 32975.16 31685.19 23565.20 25060.78 32480.93 30042.35 31177.20 33357.12 26153.69 34785.44 293
PMMVS69.34 28868.67 27871.35 31475.67 33562.03 23275.17 31573.46 34050.00 34468.68 27779.05 31152.07 22878.13 32861.16 22882.77 17273.90 346
EU-MVSNet68.53 29367.61 29371.31 31578.51 32547.01 34284.47 22984.27 24342.27 34966.44 30084.79 25340.44 32283.76 30658.76 24768.54 31283.17 315
Anonymous2023120668.60 29167.80 29071.02 31680.23 31050.75 33378.30 30080.47 29256.79 32166.11 30282.63 27446.35 28978.95 32543.62 33275.70 26083.36 314
dp66.80 30065.43 30070.90 31779.74 31648.82 33975.12 31874.77 33359.61 29964.08 31477.23 32342.89 30880.72 31848.86 29666.58 32083.16 316
PatchT68.46 29467.85 28870.29 31880.70 30443.93 34672.47 32474.88 33160.15 29570.55 24976.57 32649.94 26781.59 31550.58 28674.83 27385.34 294
UnsupCasMVSNet_bld63.70 31261.53 31470.21 31973.69 34051.39 33072.82 32381.89 28055.63 32657.81 33371.80 33938.67 32778.61 32649.26 29552.21 34980.63 329
Patchmatch-test64.82 30963.24 30769.57 32079.42 31949.82 33763.49 35069.05 35351.98 34059.95 32880.13 30450.91 24770.98 35240.66 33873.57 28487.90 244
LF4IMVS64.02 31162.19 31269.50 32170.90 34953.29 31676.13 30877.18 32252.65 33858.59 33080.98 29823.55 35076.52 33553.06 27966.66 31978.68 335
test20.0367.45 29766.95 29668.94 32275.48 33844.84 34477.50 30477.67 31866.66 23263.01 31883.80 26247.02 28578.40 32742.53 33568.86 31083.58 312
test0.0.03 168.00 29567.69 29268.90 32377.55 32747.43 34075.70 31472.95 34266.66 23266.56 29782.29 27748.06 28075.87 33844.97 32374.51 27683.41 313
PVSNet_057.27 2061.67 31459.27 31568.85 32479.61 31757.44 27568.01 34173.44 34155.93 32558.54 33170.41 34244.58 30077.55 33247.01 30835.91 35471.55 348
ADS-MVSNet64.36 31062.88 31068.78 32579.92 31247.17 34167.55 34371.18 34553.37 33565.25 30775.86 32842.32 31273.99 34641.57 33668.91 30885.18 296
pmmvs357.79 32054.26 32468.37 32664.02 35656.72 28575.12 31865.17 35840.20 35152.93 34669.86 34420.36 35475.48 34045.45 32155.25 34672.90 347
LCM-MVSNet54.25 32449.68 33167.97 32753.73 36345.28 34366.85 34680.78 28835.96 35539.45 35562.23 3518.70 36778.06 33048.24 30251.20 35080.57 330
testgi66.67 30266.53 29867.08 32875.62 33641.69 35175.93 31076.50 32466.11 24065.20 30986.59 20335.72 33874.71 34243.71 33173.38 28684.84 301
no-one51.08 32845.79 33466.95 32957.92 36150.49 33559.63 35476.04 32648.04 34531.85 35656.10 35619.12 35680.08 32236.89 34226.52 35670.29 349
test123567858.74 31956.89 32264.30 33069.70 35041.87 35071.05 32774.87 33254.06 33050.63 34971.53 34025.30 34874.10 34531.80 35163.10 33276.93 342
ANet_high50.57 33046.10 33363.99 33148.67 36639.13 35370.99 32980.85 28761.39 28731.18 35857.70 35417.02 35973.65 34731.22 35215.89 36379.18 334
test235659.50 31658.08 31663.74 33271.23 34841.88 34967.59 34272.42 34453.72 33357.65 33470.74 34126.31 34672.40 34932.03 35071.06 30176.93 342
MVS-HIRNet59.14 31757.67 31963.57 33381.65 29143.50 34771.73 32565.06 35939.59 35351.43 34857.73 35338.34 32982.58 31339.53 33973.95 28064.62 353
testmv53.85 32551.03 32762.31 33461.46 35838.88 35570.95 33074.69 33651.11 34341.26 35266.85 34614.28 36172.13 35029.19 35349.51 35175.93 345
testus59.00 31857.91 31762.25 33572.25 34639.09 35469.74 33175.02 33053.04 33757.21 33673.72 33518.76 35770.33 35332.86 34668.57 31177.35 339
new-patchmatchnet61.73 31361.73 31361.70 33672.74 34524.50 36769.16 33678.03 31661.40 28656.72 33875.53 33038.42 32876.48 33645.95 31857.67 34184.13 308
DSMNet-mixed57.77 32156.90 32160.38 33767.70 35435.61 35769.18 33553.97 36332.30 35957.49 33579.88 30640.39 32368.57 35638.78 34072.37 29176.97 341
FPMVS53.68 32651.64 32659.81 33865.08 35551.03 33169.48 33469.58 35041.46 35040.67 35372.32 33816.46 36070.00 35424.24 35865.42 32758.40 355
wuykxyi23d39.76 33633.18 34059.51 33946.98 36744.01 34557.70 35667.74 35524.13 36113.98 36734.33 3611.27 37271.33 35134.23 34518.23 35963.18 354
111157.11 32256.82 32357.97 34069.10 35128.28 36268.90 33974.54 33854.01 33153.71 34474.51 33223.09 35167.90 35732.28 34861.26 33777.73 337
PMVScopyleft37.38 2244.16 33440.28 33655.82 34140.82 36942.54 34865.12 34863.99 36134.43 35624.48 36057.12 3553.92 36976.17 33717.10 36155.52 34548.75 356
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Gipumacopyleft45.18 33341.86 33555.16 34277.03 33251.52 32832.50 36380.52 29132.46 35727.12 35935.02 3609.52 36675.50 33922.31 35960.21 34038.45 360
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
testpf56.51 32357.58 32053.30 34371.99 34741.19 35246.89 36069.32 35258.06 31152.87 34769.45 34527.99 34572.73 34859.59 23962.07 33345.98 358
new_pmnet50.91 32950.29 32852.78 34468.58 35334.94 36063.71 34956.63 36239.73 35244.95 35165.47 34821.93 35358.48 36134.98 34456.62 34364.92 352
test1235649.28 33148.51 33251.59 34562.06 35719.11 36860.40 35272.45 34347.60 34740.64 35465.68 34713.84 36268.72 35527.29 35546.67 35366.94 351
N_pmnet52.79 32753.26 32551.40 34678.99 3247.68 37169.52 3333.89 37251.63 34257.01 33774.98 33140.83 32065.96 35937.78 34164.67 32980.56 331
PNet_i23d38.26 33735.42 33846.79 34758.74 35935.48 35859.65 35351.25 36432.45 35823.44 36347.53 3582.04 37158.96 36025.60 35718.09 36145.92 359
PMMVS240.82 33538.86 33746.69 34853.84 36216.45 36948.61 35949.92 36537.49 35431.67 35760.97 3528.14 36856.42 36228.42 35430.72 35567.19 350
MVEpermissive26.22 2330.37 34225.89 34443.81 34944.55 36835.46 35928.87 36439.07 36818.20 36318.58 36440.18 3592.68 37047.37 36517.07 36223.78 35848.60 357
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN31.77 34030.64 34135.15 35052.87 36427.67 36457.09 35747.86 36624.64 36016.40 36533.05 36211.23 36454.90 36314.46 36318.15 36022.87 362
EMVS30.81 34129.65 34234.27 35150.96 36525.95 36656.58 35846.80 36724.01 36215.53 36630.68 36312.47 36354.43 36412.81 36417.05 36222.43 363
.test124545.55 33250.02 33032.14 35269.10 35128.28 36268.90 33974.54 33854.01 33153.71 34474.51 33223.09 35167.90 35732.28 3480.02 3660.25 367
pcd1.5k->3k34.07 33935.26 33930.50 35386.92 1920.00 3740.00 36591.58 870.00 3690.00 3710.00 37156.23 1920.00 3710.00 36882.60 17691.49 115
DeepMVS_CXcopyleft27.40 35440.17 37026.90 36524.59 37117.44 36423.95 36148.61 3579.77 36526.48 36618.06 36024.47 35728.83 361
wuyk23d16.82 34515.94 34619.46 35558.74 35931.45 36139.22 3613.74 3736.84 3656.04 3682.70 3681.27 37224.29 36710.54 36514.40 3652.63 365
tmp_tt18.61 34421.40 34510.23 3564.82 37110.11 37034.70 36230.74 3701.48 36623.91 36226.07 36428.42 34413.41 36827.12 35615.35 3647.17 364
test1236.12 3478.11 3480.14 3570.06 3730.09 37271.05 3270.03 3750.04 3680.25 3701.30 3700.05 3740.03 3700.21 3670.01 3680.29 366
testmvs6.04 3488.02 3490.10 3580.08 3720.03 37369.74 3310.04 3740.05 3670.31 3691.68 3690.02 3750.04 3690.24 3660.02 3660.25 367
test_part10.00 3590.00 3740.00 36594.09 20.00 3760.00 3710.00 3680.00 3690.00 369
v1.037.66 33850.21 3290.00 35995.06 10.00 3740.00 36594.09 275.63 7691.80 395.29 40.00 3760.00 3710.00 3680.00 3690.00 369
cdsmvs_eth3d_5k19.96 34326.61 3430.00 3590.00 3740.00 3740.00 36589.26 1640.00 3690.00 37188.61 13861.62 1420.00 3710.00 3680.00 3690.00 369
pcd_1.5k_mvsjas5.26 3497.02 3500.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 37163.15 1070.00 3710.00 3680.00 3690.00 369
sosnet-low-res0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
sosnet0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
uncertanet0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
Regformer0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
ab-mvs-re7.23 3469.64 3470.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 37186.72 1910.00 3760.00 3710.00 3680.00 3690.00 369
uanet0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
GSMVS88.96 212
test_part295.06 172.65 2991.80 3
sam_mvs151.32 24388.96 212
sam_mvs50.01 264
MTGPAbinary92.02 65
test_post178.90 2955.43 36748.81 27985.44 29959.25 242
test_post5.46 36650.36 26284.24 304
patchmatchnet-post74.00 33451.12 24688.60 275
MTMP92.18 2132.83 369
gm-plane-assit81.40 29553.83 31362.72 27780.94 29992.39 17963.40 207
test9_res84.90 1995.70 1492.87 77
TEST993.26 3872.96 2188.75 9291.89 7468.44 21285.00 3293.10 4374.36 1795.41 51
test_893.13 4072.57 3288.68 9591.84 7768.69 20884.87 3893.10 4374.43 1495.16 59
agg_prior282.91 4295.45 1692.70 79
agg_prior92.85 4671.94 4391.78 8084.41 4594.93 68
test_prior472.60 3189.01 82
test_prior288.85 8775.41 8084.91 3493.54 3374.28 1883.31 3595.86 8
旧先验286.56 17158.10 31087.04 1788.98 26874.07 116
新几何286.29 180
旧先验191.96 5965.79 14686.37 22493.08 4769.31 5792.74 5388.74 219
无先验87.48 13488.98 17660.00 29694.12 10167.28 17788.97 211
原ACMM286.86 160
test22291.50 6468.26 10784.16 23983.20 26354.63 32979.74 9791.63 6858.97 17191.42 6386.77 270
testdata291.01 23162.37 215
segment_acmp73.08 25
testdata184.14 24075.71 73
plane_prior790.08 8668.51 103
plane_prior689.84 9168.70 9960.42 164
plane_prior592.44 4995.38 5378.71 7086.32 12891.33 118
plane_prior491.00 86
plane_prior368.60 10178.44 3078.92 106
plane_prior291.25 3279.12 23
plane_prior189.90 90
plane_prior68.71 9790.38 4877.62 3486.16 131
n20.00 376
nn0.00 376
door-mid69.98 348
test1192.23 57
door69.44 351
HQP5-MVS66.98 128
HQP-NCC89.33 10989.17 7576.41 6077.23 148
ACMP_Plane89.33 10989.17 7576.41 6077.23 148
BP-MVS77.47 82
HQP4-MVS77.24 14795.11 6191.03 125
HQP3-MVS92.19 6085.99 133
HQP2-MVS60.17 167
NP-MVS89.62 9768.32 10590.24 97
MDTV_nov1_ep13_2view37.79 35675.16 31655.10 32766.53 29849.34 27353.98 27387.94 243
MDTV_nov1_ep1369.97 27283.18 26653.48 31577.10 30780.18 29960.45 29169.33 27180.44 30148.89 27886.90 28751.60 28378.51 222
ACMMP++_ref81.95 182
ACMMP++81.25 189
Test By Simon64.33 94