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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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
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
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.
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
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
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
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
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.
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
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
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
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
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
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
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
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
#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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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-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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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_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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
N_pmnet52.79 32753.26 32551.40 346