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.
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
DeepPCF-MVS81.17 189.72 991.38 384.72 12793.00 8058.16 29396.72 794.41 4686.50 690.25 1897.83 175.46 1498.67 2392.78 595.49 1397.32 6
DeepC-MVS_fast79.48 287.95 2088.00 2087.79 2795.86 2968.32 7095.74 2094.11 6083.82 1283.49 6996.19 2964.53 8298.44 3083.42 8194.88 2496.61 14
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS77.85 385.52 5785.24 5986.37 7388.80 18166.64 12092.15 14093.68 7381.07 3476.91 13993.64 10362.59 10698.44 3085.50 6492.84 6294.03 120
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
IB-MVS77.80 482.18 11280.46 12987.35 3989.14 17370.28 3095.59 2595.17 1578.85 6270.19 20885.82 21970.66 3697.67 5572.19 16866.52 26694.09 116
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
HY-MVS76.49 584.28 7683.36 8587.02 4792.22 10067.74 8784.65 28894.50 4079.15 5782.23 7787.93 19666.88 5696.94 10380.53 10582.20 16096.39 28
3Dnovator73.91 682.69 10780.82 12188.31 2289.57 16171.26 1992.60 12794.39 4978.84 6367.89 24092.48 13048.42 25098.52 2668.80 19894.40 3795.15 72
3Dnovator+73.60 782.10 11680.60 12686.60 6190.89 13966.80 11795.20 3393.44 8674.05 12967.42 24692.49 12949.46 24097.65 5970.80 17891.68 8095.33 59
PVSNet73.49 880.05 14978.63 15784.31 14090.92 13764.97 16692.47 13391.05 18779.18 5672.43 18390.51 16137.05 31694.06 21168.06 20186.00 13493.90 127
PCF-MVS73.15 979.29 16377.63 17484.29 14186.06 23565.96 13787.03 27591.10 18269.86 23169.79 21690.64 15757.54 15596.59 11464.37 23882.29 15890.32 200
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
ACMP71.68 1075.58 22874.23 22179.62 25684.97 25359.64 27490.80 20389.07 25970.39 22462.95 28487.30 20538.28 30193.87 22372.89 15671.45 23585.36 280
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
OpenMVScopyleft70.45 1178.54 18175.92 20086.41 7285.93 24071.68 1692.74 11892.51 12466.49 26364.56 26991.96 13943.88 28198.10 3954.61 28390.65 9589.44 212
TAPA-MVS70.22 1274.94 23573.53 23179.17 26390.40 14652.07 33189.19 24589.61 23862.69 29170.07 20992.67 12548.89 24994.32 19938.26 34679.97 17491.12 193
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
ACMM69.62 1374.34 23872.73 23979.17 26384.25 26657.87 29590.36 21589.93 22663.17 28665.64 26086.04 21837.79 30894.10 20765.89 22471.52 23485.55 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PLCcopyleft68.80 1475.23 23173.68 23079.86 24992.93 8158.68 28890.64 20888.30 27960.90 30464.43 27390.53 16042.38 28694.57 18956.52 27776.54 20686.33 255
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PVSNet_068.08 1571.81 26068.32 27282.27 18984.68 25562.31 23088.68 25490.31 21075.84 10257.93 31380.65 28337.85 30794.19 20569.94 18529.05 36790.31 201
ACMH+65.35 1667.65 29064.55 29276.96 29084.59 25857.10 30788.08 26280.79 33958.59 32053.00 32781.09 27826.63 34892.95 24046.51 31461.69 30780.82 327
ACMH63.93 1768.62 28164.81 28980.03 24485.22 24763.25 20887.72 26884.66 32060.83 30551.57 33379.43 29827.29 34694.96 17641.76 33364.84 27781.88 320
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
OpenMVS_ROBcopyleft61.12 1866.39 29762.92 30376.80 29276.51 33757.77 29689.22 24383.41 33155.48 33353.86 32577.84 30726.28 34993.95 22034.90 35368.76 25078.68 345
LTVRE_ROB59.60 1966.27 29863.54 29974.45 30584.00 26951.55 33367.08 35583.53 32958.78 31854.94 32080.31 28734.54 32493.23 23540.64 33968.03 25578.58 346
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
COLMAP_ROBcopyleft57.96 2062.98 31359.65 31572.98 31681.44 29153.00 32783.75 29375.53 35148.34 35048.81 34381.40 27024.14 35190.30 29732.95 35860.52 31575.65 353
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CMPMVSbinary48.56 2166.77 29664.41 29573.84 31070.65 35550.31 34077.79 33585.73 31145.54 35544.76 35382.14 25735.40 32190.14 30463.18 24674.54 21281.07 325
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PMVScopyleft26.43 2231.84 33728.16 34042.89 35225.87 38027.58 37350.92 36549.78 37421.37 36814.17 37240.81 3682.01 37966.62 3669.61 37238.88 36034.49 368
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive24.84 2324.35 33919.77 34538.09 35334.56 37926.92 37426.57 36938.87 37711.73 37211.37 37327.44 3691.37 38050.42 37211.41 37114.60 37036.93 366
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
patch_mono-289.71 1090.99 585.85 8996.04 2663.70 19995.04 4195.19 1386.74 591.53 1195.15 5973.86 2197.58 6393.38 392.00 7596.28 32
EGC-MVSNET42.35 33138.09 33455.11 34574.57 34346.62 35471.63 34455.77 3710.04 3760.24 37762.70 35514.24 36674.91 36217.59 36846.06 35043.80 365
test250683.29 9582.92 9284.37 13888.39 19163.18 21292.01 14991.35 17177.66 8178.49 12291.42 14764.58 8195.09 17273.19 15389.23 10494.85 83
test111180.84 13680.02 13383.33 16587.87 20660.76 25792.62 12686.86 29877.86 7775.73 14791.39 14946.35 26694.70 18772.79 15988.68 11094.52 99
ECVR-MVScopyleft81.29 12680.38 13084.01 14788.39 19161.96 23592.56 13286.79 29977.66 8176.63 14091.42 14746.34 26795.24 17074.36 15089.23 10494.85 83
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
DVP-MVS++90.53 391.09 488.87 1497.31 469.91 3793.96 6894.37 5072.48 16592.07 696.85 1283.82 299.15 291.53 1697.42 497.55 4
FOURS193.95 5361.77 23893.96 6891.92 14462.14 29686.57 35
MSC_two_6792asdad89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
PC_three_145280.91 3694.07 296.83 1483.57 499.12 595.70 297.42 497.55 4
No_MVS89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
test_one_060196.32 2069.74 4294.18 5671.42 20890.67 1596.85 1274.45 19
eth-test20.00 384
eth-test0.00 384
GeoE78.90 17077.43 17783.29 16688.95 17762.02 23392.31 13586.23 30570.24 22671.34 19789.27 17754.43 19694.04 21463.31 24480.81 17293.81 130
test_method38.59 33435.16 33748.89 35054.33 37021.35 37745.32 36753.71 3727.41 37328.74 36451.62 3608.70 37252.87 37133.73 35432.89 36572.47 356
Anonymous2024052162.09 31459.08 31771.10 32867.19 36048.72 34783.91 29285.23 31450.38 34447.84 34571.22 34320.74 35885.51 33546.47 31558.75 32379.06 342
h-mvs3383.01 10082.56 10084.35 13989.34 16662.02 23392.72 11993.76 6881.45 2882.73 7492.25 13660.11 12797.13 8887.69 4362.96 29093.91 125
hse-mvs281.12 13181.11 11981.16 21986.52 22757.48 30289.40 24091.16 17881.45 2882.73 7490.49 16260.11 12794.58 18887.69 4360.41 31791.41 185
CL-MVSNet_self_test69.92 27168.09 27375.41 29973.25 34755.90 31490.05 22589.90 22769.96 22961.96 29276.54 31751.05 22787.64 32449.51 30150.59 34382.70 311
KD-MVS_2432*160069.03 27866.37 28077.01 28885.56 24361.06 25081.44 31290.25 21367.27 25758.00 31176.53 31854.49 19387.63 32548.04 30735.77 36282.34 315
KD-MVS_self_test60.87 31858.60 31867.68 33666.13 36139.93 36575.63 33984.70 31957.32 32449.57 34168.45 34729.55 33982.87 35048.09 30647.94 34780.25 335
AUN-MVS78.37 18377.43 17781.17 21886.60 22657.45 30389.46 23991.16 17874.11 12874.40 15990.49 16255.52 18294.57 18974.73 14960.43 31691.48 183
ZD-MVS96.63 1165.50 15093.50 8270.74 22185.26 5395.19 5864.92 7897.29 7887.51 4593.01 59
test117281.90 11981.83 10982.13 19693.23 7157.52 30191.61 17090.98 19064.32 27780.20 9995.00 6251.26 22595.61 15281.73 9488.13 11593.26 143
SR-MVS-dyc-post81.06 13280.70 12382.15 19492.02 10458.56 28990.90 19890.45 20162.76 28978.89 11494.46 7851.26 22595.61 15278.77 11986.77 12792.28 170
RE-MVS-def80.48 12892.02 10458.56 28990.90 19890.45 20162.76 28978.89 11494.46 7849.30 24278.77 11986.77 12792.28 170
SED-MVS89.94 890.36 988.70 1696.45 1469.38 4796.89 494.44 4371.65 19692.11 497.21 576.79 999.11 692.34 895.36 1497.62 2
IU-MVS96.46 1369.91 3795.18 1480.75 3795.28 192.34 895.36 1496.47 24
OPU-MVS89.97 397.52 373.15 1396.89 497.00 983.82 299.15 295.72 197.63 397.62 2
test_241102_TWO94.41 4671.65 19692.07 697.21 574.58 1799.11 692.34 895.36 1496.59 15
test_241102_ONE96.45 1469.38 4794.44 4371.65 19692.11 497.05 876.79 999.11 6
xxxxxxxxxxxxxcwj87.14 3287.19 3486.99 4893.84 5667.89 8395.05 3984.72 31878.19 7086.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 65
SF-MVS87.03 3587.09 3686.84 5192.70 8967.45 9793.64 8693.76 6870.78 22086.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 65
ETH3D cwj APD-0.1687.06 3487.18 3586.71 5791.99 10867.48 9692.97 11094.21 5571.48 20785.72 4596.32 2668.13 4398.00 4289.06 3294.70 3194.65 93
cl2277.94 19176.78 18881.42 21287.57 20964.93 16890.67 20688.86 26672.45 16767.63 24482.68 25164.07 8692.91 24571.79 17065.30 27086.44 254
miper_ehance_all_eth77.60 19576.44 19381.09 22685.70 24264.41 18090.65 20788.64 27372.31 17167.37 24982.52 25264.77 7992.64 25870.67 18065.30 27086.24 259
miper_enhance_ethall78.86 17177.97 16781.54 21088.00 20365.17 15691.41 17489.15 25475.19 11468.79 22883.98 23867.17 5392.82 24772.73 16065.30 27086.62 253
ZNCC-MVS85.33 6085.08 6186.06 8193.09 7965.65 14593.89 7693.41 8873.75 13879.94 10194.68 7560.61 12398.03 4182.63 8893.72 4894.52 99
ETH3 D test640090.27 690.44 889.75 696.82 974.33 795.89 1694.80 2977.13 8889.13 2297.38 274.49 1898.48 2892.32 1195.98 896.46 25
dcpmvs_287.37 2887.55 2886.85 5095.04 3668.20 7690.36 21590.66 19879.37 5281.20 8693.67 10274.73 1596.55 11890.88 2192.00 7595.82 45
cl____76.07 21474.67 21080.28 23885.15 24861.76 23990.12 22288.73 26971.16 21165.43 26181.57 26661.15 11692.95 24066.54 21662.17 29886.13 263
DIV-MVS_self_test76.07 21474.67 21080.28 23885.14 24961.75 24090.12 22288.73 26971.16 21165.42 26281.60 26561.15 11692.94 24466.54 21662.16 30086.14 261
eth_miper_zixun_eth75.96 22074.40 21880.66 23284.66 25663.02 21489.28 24288.27 28171.88 18665.73 25981.65 26359.45 13692.81 24868.13 20060.53 31486.14 261
9.1487.63 2593.86 5594.41 5194.18 5672.76 15986.21 3896.51 1966.64 5997.88 4990.08 2594.04 41
testtj86.62 4386.66 4286.50 6796.95 865.70 14394.41 5193.45 8467.74 25186.19 3996.39 2364.38 8397.91 4687.33 4993.14 5895.90 43
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
ETH3D-3000-0.187.61 2487.89 2186.75 5693.58 6467.21 10294.31 5394.14 5972.92 15687.13 3096.62 1767.81 4997.94 4390.13 2494.42 3695.09 75
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
save fliter93.84 5667.89 8395.05 3992.66 11778.19 70
ET-MVSNet_ETH3D84.01 8383.15 8986.58 6390.78 14270.89 2394.74 4794.62 3781.44 3058.19 30893.64 10373.64 2492.35 26982.66 8678.66 18696.50 23
UniMVSNet_ETH3D72.74 25570.53 25879.36 26078.62 32556.64 30985.01 28689.20 25063.77 28164.84 26784.44 23434.05 32591.86 27963.94 24070.89 23989.57 210
EIA-MVS84.84 6784.88 6484.69 12891.30 13062.36 22893.85 7892.04 13979.45 5079.33 10994.28 9062.42 10796.35 12180.05 10791.25 8995.38 56
miper_refine_blended69.03 27866.37 28077.01 28885.56 24361.06 25081.44 31290.25 21367.27 25758.00 31176.53 31854.49 19387.63 32548.04 30735.77 36282.34 315
miper_lstm_enhance73.05 24971.73 25177.03 28783.80 27058.32 29281.76 30788.88 26469.80 23261.01 29378.23 30457.19 15787.51 32765.34 23259.53 31985.27 283
ETV-MVS86.01 5186.11 4885.70 9790.21 15067.02 11093.43 9691.92 14481.21 3284.13 6594.07 9660.93 12095.63 15089.28 2989.81 10094.46 104
CS-MVS85.80 5486.65 4383.27 16792.00 10758.92 28595.31 3091.86 14879.97 4384.82 5695.40 4462.26 10895.51 16186.11 6092.08 7495.37 57
D2MVS73.80 24472.02 24879.15 26579.15 31662.97 21588.58 25690.07 22072.94 15459.22 30278.30 30242.31 28792.70 25465.59 22972.00 23081.79 321
DVP-MVScopyleft89.41 1289.73 1388.45 2196.40 1769.99 3396.64 894.52 3971.92 18290.55 1696.93 1073.77 2299.08 1191.91 1494.90 2196.29 30
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_THIRD72.48 16590.55 1696.93 1076.24 1199.08 1191.53 1694.99 1796.43 26
test_0728_SECOND88.70 1696.45 1470.43 2896.64 894.37 5099.15 291.91 1494.90 2196.51 20
test072696.40 1769.99 3396.76 694.33 5271.92 18291.89 897.11 773.77 22
SR-MVS82.81 10382.58 9983.50 16293.35 6961.16 24992.23 13991.28 17564.48 27581.27 8595.28 5053.71 20495.86 13882.87 8488.77 10993.49 137
DPM-MVS90.70 290.52 791.24 189.68 15976.68 297.29 195.35 1082.87 1591.58 1097.22 479.93 599.10 983.12 8297.64 297.94 1
GST-MVS84.63 7184.29 7185.66 9892.82 8565.27 15393.04 10793.13 10073.20 14878.89 11494.18 9359.41 13897.85 5081.45 9792.48 6893.86 128
test_yl84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 23981.09 8892.88 12157.00 16297.44 6881.11 10281.76 16396.23 33
thisisatest053081.15 12880.07 13184.39 13788.26 19565.63 14691.40 17694.62 3771.27 21070.93 19989.18 17872.47 2996.04 13365.62 22876.89 20491.49 182
Anonymous2024052976.84 20674.15 22384.88 12191.02 13464.95 16793.84 8191.09 18353.57 33673.00 17087.42 20335.91 32097.32 7669.14 19472.41 22992.36 166
Anonymous20240521177.96 19075.33 20685.87 8793.73 6264.52 17294.85 4585.36 31362.52 29376.11 14490.18 16829.43 34197.29 7868.51 19977.24 20295.81 46
DCV-MVSNet84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 23981.09 8892.88 12157.00 16297.44 6881.11 10281.76 16396.23 33
tttt051779.50 16078.53 15982.41 18687.22 21761.43 24589.75 23394.76 3069.29 23767.91 23988.06 19572.92 2695.63 15062.91 24873.90 21890.16 202
our_test_368.29 28564.69 29179.11 26678.92 31964.85 16988.40 26085.06 31560.32 30952.68 32876.12 32240.81 29189.80 30844.25 32555.65 33082.67 313
thisisatest051583.41 9382.49 10186.16 7989.46 16568.26 7393.54 9194.70 3374.31 12475.75 14690.92 15372.62 2896.52 11969.64 18681.50 16593.71 131
ppachtmachnet_test67.72 28963.70 29879.77 25278.92 31966.04 13488.68 25482.90 33560.11 31155.45 31975.96 32339.19 29590.55 29439.53 34152.55 33982.71 310
SMA-MVScopyleft88.14 1688.29 1987.67 2893.21 7468.72 6293.85 7894.03 6174.18 12791.74 996.67 1665.61 7098.42 3289.24 3096.08 795.88 44
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
GSMVS94.68 90
DPE-MVScopyleft88.77 1589.21 1587.45 3696.26 2267.56 9194.17 5594.15 5868.77 24590.74 1497.27 376.09 1298.49 2790.58 2394.91 2096.30 29
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part296.29 2168.16 7790.78 13
test_part179.63 15777.86 17184.93 11892.50 9471.43 1794.15 5891.08 18572.51 16470.66 20084.98 22759.84 13195.07 17372.07 16962.94 29188.30 227
thres100view90078.37 18377.01 18582.46 18291.89 11363.21 21091.19 19196.33 172.28 17370.45 20487.89 19760.31 12495.32 16645.16 32077.58 19488.83 214
tfpnnormal70.10 26967.36 27578.32 27183.45 27660.97 25288.85 25192.77 11264.85 27460.83 29578.53 30143.52 28393.48 23131.73 36261.70 30680.52 331
tfpn200view978.79 17477.43 17782.88 17392.21 10164.49 17392.05 14796.28 473.48 14571.75 19288.26 19060.07 12995.32 16645.16 32077.58 19488.83 214
c3_l76.83 20775.47 20580.93 23085.02 25264.18 18990.39 21488.11 28471.66 19566.65 25681.64 26463.58 9792.56 25969.31 19262.86 29286.04 265
CHOSEN 280x42077.35 20076.95 18778.55 26987.07 22062.68 22569.71 34882.95 33468.80 24471.48 19587.27 20766.03 6484.00 34276.47 13482.81 15788.95 213
CANet89.61 1189.99 1188.46 2094.39 4469.71 4396.53 1193.78 6586.89 489.68 1995.78 3465.94 6599.10 992.99 493.91 4496.58 17
Fast-Effi-MVS+-dtu75.04 23373.37 23380.07 24380.86 29459.52 27791.20 19085.38 31271.90 18465.20 26384.84 22941.46 28992.97 23966.50 21872.96 22387.73 231
Effi-MVS+-dtu76.14 21375.28 20778.72 26883.22 27755.17 31889.87 23087.78 28975.42 10767.98 23781.43 26845.08 27592.52 26175.08 14271.63 23288.48 221
CANet_DTU84.09 8283.52 7685.81 9090.30 14866.82 11591.87 15689.01 26185.27 786.09 4193.74 10147.71 25896.98 9977.90 12789.78 10293.65 133
MVS_030468.99 28067.23 27774.28 30880.36 30152.54 32887.01 27786.36 30159.89 31366.22 25773.56 33124.25 35088.03 32057.34 27670.11 24082.27 317
MP-MVS-pluss85.24 6185.13 6085.56 10091.42 12765.59 14791.54 17292.51 12474.56 12080.62 9495.64 3959.15 14197.00 9586.94 5493.80 4594.07 118
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MSP-MVS90.38 491.87 185.88 8692.83 8364.03 19193.06 10594.33 5282.19 2093.65 396.15 3085.89 197.19 8491.02 2097.75 196.43 26
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
sam_mvs157.85 15194.68 90
sam_mvs54.91 190
IterMVS-SCA-FT71.55 26269.97 26176.32 29481.48 29060.67 26187.64 27085.99 30866.17 26559.50 30078.88 29945.53 27283.65 34462.58 25161.93 30184.63 289
TSAR-MVS + MP.88.11 1888.64 1686.54 6591.73 11868.04 7990.36 21593.55 7982.89 1491.29 1292.89 12072.27 3096.03 13487.99 4094.77 2595.54 52
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
xiu_mvs_v1_base_debu82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8238.04 30495.73 14484.12 7586.81 12491.33 186
OPM-MVS79.00 16778.09 16481.73 20583.52 27563.83 19391.64 16990.30 21176.36 9971.97 18989.93 17346.30 26995.17 17175.10 14177.70 19286.19 260
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ACMMP_NAP86.05 5085.80 5386.80 5491.58 12267.53 9391.79 16093.49 8374.93 11784.61 5795.30 4959.42 13797.92 4586.13 5994.92 1994.94 82
ambc69.61 33161.38 36741.35 36149.07 36685.86 31050.18 34066.40 34910.16 36988.14 31945.73 31944.20 35279.32 341
zzz-MVS84.73 6884.47 6785.50 10191.89 11365.16 15791.55 17192.23 13075.32 11180.53 9595.21 5656.06 17797.16 8684.86 7192.55 6694.18 109
MTGPAbinary92.23 130
mvs-test178.74 17677.95 16881.14 22083.22 27757.13 30693.96 6887.78 28975.42 10772.68 17590.80 15645.08 27594.54 19375.08 14277.49 19791.74 179
CS-MVS-test86.14 4987.01 3783.52 15992.63 9159.36 28195.49 2691.92 14480.09 4285.46 5095.53 4361.82 11395.77 14286.77 5693.37 5495.41 54
Effi-MVS+83.82 8882.76 9686.99 4889.56 16269.40 4691.35 18286.12 30772.59 16183.22 7192.81 12459.60 13596.01 13681.76 9387.80 11895.56 51
xiu_mvs_v2_base87.92 2187.38 3289.55 1291.41 12976.43 395.74 2093.12 10183.53 1389.55 2095.95 3253.45 20997.68 5491.07 1992.62 6494.54 97
xiu_mvs_v1_base82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8238.04 30495.73 14484.12 7586.81 12491.33 186
new-patchmatchnet59.30 32356.48 32467.79 33565.86 36244.19 35782.47 30581.77 33659.94 31243.65 35766.20 35027.67 34581.68 35739.34 34241.40 35677.50 349
pmmvs667.57 29164.76 29076.00 29772.82 35053.37 32588.71 25386.78 30053.19 33757.58 31578.03 30635.33 32292.41 26555.56 28154.88 33482.21 318
pmmvs573.35 24771.52 25278.86 26778.64 32460.61 26391.08 19486.90 29767.69 25263.32 28183.64 24044.33 27990.53 29562.04 25466.02 26885.46 278
test_post178.95 32720.70 37353.05 21091.50 29060.43 262
test_post23.01 37056.49 17292.67 255
Fast-Effi-MVS+81.14 12980.01 13484.51 13490.24 14965.86 13994.12 6089.15 25473.81 13775.37 15488.26 19057.26 15694.53 19466.97 21284.92 14093.15 147
patchmatchnet-post67.62 34857.62 15490.25 298
Anonymous2023121173.08 24870.39 25981.13 22190.62 14363.33 20791.40 17690.06 22351.84 34064.46 27280.67 28236.49 31894.07 21063.83 24164.17 28485.98 267
pmmvs-eth3d65.53 30262.32 30775.19 30069.39 35859.59 27582.80 30483.43 33062.52 29351.30 33572.49 33332.86 32787.16 33055.32 28250.73 34278.83 344
GG-mvs-BLEND86.53 6691.91 11269.67 4575.02 34094.75 3178.67 12190.85 15577.91 794.56 19172.25 16593.74 4795.36 58
xiu_mvs_v1_base_debi82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8238.04 30495.73 14484.12 7586.81 12491.33 186
Anonymous2023120667.53 29265.78 28272.79 31874.95 34247.59 35188.23 26187.32 29461.75 30258.07 31077.29 31137.79 30887.29 32942.91 32863.71 28883.48 298
MTAPA83.91 8683.38 8485.50 10191.89 11365.16 15781.75 30892.23 13075.32 11180.53 9595.21 5656.06 17797.16 8684.86 7192.55 6694.18 109
MTMP93.77 8332.52 379
gm-plane-assit88.42 18967.04 10978.62 6791.83 14197.37 7276.57 133
test9_res89.41 2694.96 1895.29 63
MVP-Stereo77.12 20376.23 19679.79 25181.72 28966.34 12889.29 24190.88 19270.56 22362.01 29182.88 24849.34 24194.13 20665.55 23093.80 4578.88 343
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST994.18 4667.28 10094.16 5693.51 8071.75 19485.52 4895.33 4768.01 4497.27 82
train_agg87.21 3187.42 3186.60 6194.18 4667.28 10094.16 5693.51 8071.87 18785.52 4895.33 4768.19 4197.27 8289.09 3194.90 2195.25 70
gg-mvs-nofinetune77.18 20274.31 21985.80 9191.42 12768.36 6971.78 34294.72 3249.61 34677.12 13645.92 36377.41 893.98 21867.62 20693.16 5795.05 77
SCA75.82 22372.76 23885.01 11786.63 22570.08 3181.06 31589.19 25171.60 20170.01 21077.09 31445.53 27290.25 29860.43 26273.27 22094.68 90
Patchmatch-test65.86 30060.94 31280.62 23383.75 27158.83 28658.91 36275.26 35244.50 35850.95 33777.09 31458.81 14587.90 32135.13 35264.03 28595.12 74
test_894.19 4567.19 10394.15 5893.42 8771.87 18785.38 5195.35 4668.19 4196.95 102
MS-PatchMatch77.90 19376.50 19282.12 19785.99 23669.95 3691.75 16592.70 11473.97 13262.58 28884.44 23441.11 29095.78 14063.76 24292.17 7280.62 330
Patchmatch-RL test68.17 28664.49 29479.19 26271.22 35253.93 32370.07 34771.54 35969.22 23856.79 31762.89 35456.58 17188.61 31369.53 18952.61 33895.03 80
cdsmvs_eth3d_5k19.86 34226.47 3410.00 3610.00 3840.00 3850.00 37293.45 840.00 3790.00 38095.27 5249.56 2390.00 3800.00 3780.00 3770.00 376
pcd_1.5k_mvsjas4.46 3475.95 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37953.55 2050.00 3800.00 3780.00 3770.00 376
agg_prior187.02 3687.26 3386.28 7794.16 5066.97 11194.08 6293.31 9071.85 18984.49 5995.39 4568.91 3896.75 11188.84 3594.32 3895.13 73
agg_prior286.41 5794.75 3095.33 59
agg_prior94.16 5066.97 11193.31 9084.49 5996.75 111
tmp_tt22.26 34123.75 34317.80 3575.23 38112.06 38135.26 36839.48 3762.82 37518.94 36844.20 36522.23 35624.64 37636.30 3479.31 37316.69 370
canonicalmvs86.85 3986.25 4688.66 1891.80 11771.92 1593.54 9191.71 15680.26 4187.55 2895.25 5463.59 9696.93 10588.18 3984.34 14797.11 8
anonymousdsp71.14 26469.37 26676.45 29372.95 34854.71 32084.19 29088.88 26461.92 29962.15 29079.77 29438.14 30391.44 29168.90 19767.45 26183.21 303
alignmvs87.28 2986.97 3888.24 2391.30 13071.14 2295.61 2493.56 7879.30 5387.07 3395.25 5468.43 3996.93 10587.87 4184.33 14896.65 13
nrg03080.93 13479.86 13784.13 14483.69 27268.83 5993.23 10191.20 17675.55 10575.06 15588.22 19363.04 10494.74 18381.88 9266.88 26388.82 216
v14419276.05 21774.03 22582.12 19779.50 31166.55 12491.39 17889.71 23772.30 17268.17 23581.33 27151.75 22094.03 21667.94 20264.19 28385.77 272
FIs79.47 16179.41 14779.67 25485.95 23759.40 27891.68 16793.94 6278.06 7368.96 22488.28 18866.61 6091.77 28166.20 22274.99 21187.82 230
v192192075.63 22773.49 23282.06 20179.38 31266.35 12791.07 19689.48 24071.98 18167.99 23681.22 27449.16 24693.90 22266.56 21564.56 28285.92 270
UA-Net80.02 15079.65 14081.11 22289.33 16857.72 29786.33 28289.00 26277.44 8681.01 9089.15 17959.33 13995.90 13761.01 25984.28 15089.73 208
v119275.98 21973.92 22782.15 19479.73 30766.24 13191.22 18889.75 23172.67 16068.49 23381.42 26949.86 23794.27 20267.08 21065.02 27585.95 268
FC-MVSNet-test77.99 18978.08 16577.70 27784.89 25455.51 31690.27 21893.75 7176.87 9166.80 25587.59 20065.71 6990.23 30262.89 24973.94 21687.37 237
v114476.73 20974.88 20982.27 18980.23 30566.60 12291.68 16790.21 21773.69 14069.06 22281.89 25952.73 21394.40 19869.21 19365.23 27385.80 271
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
HFP-MVS84.73 6884.40 7085.72 9493.75 6065.01 16493.50 9393.19 9672.19 17679.22 11094.93 6659.04 14297.67 5581.55 9592.21 6994.49 102
v14876.19 21274.47 21781.36 21380.05 30664.44 17791.75 16590.23 21573.68 14167.13 25080.84 27955.92 18093.86 22568.95 19661.73 30585.76 274
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
AllTest61.66 31558.06 31972.46 32079.57 30851.42 33580.17 32268.61 36251.25 34145.88 34881.23 27219.86 36086.58 33238.98 34357.01 32779.39 339
TestCases72.46 32079.57 30851.42 33568.61 36251.25 34145.88 34881.23 27219.86 36086.58 33238.98 34357.01 32779.39 339
v7n71.31 26368.65 26879.28 26176.40 33860.77 25686.71 28089.45 24164.17 27858.77 30778.24 30344.59 27893.54 22957.76 27361.75 30483.52 297
region2R84.36 7484.03 7385.36 10893.54 6664.31 18493.43 9692.95 10772.16 17978.86 11894.84 7156.97 16497.53 6581.38 9992.11 7394.24 107
bset_n11_16_dypcd75.95 22174.16 22281.30 21576.91 33665.14 15988.89 25087.48 29274.30 12569.90 21583.40 24442.16 28892.42 26478.39 12266.03 26786.32 256
RRT_MVS77.38 19976.59 19179.77 25290.91 13863.61 20491.15 19290.91 19172.28 17372.06 18887.28 20643.92 28089.04 31273.32 15267.47 26086.67 248
PS-MVSNAJss77.26 20176.31 19580.13 24280.64 29859.16 28390.63 21091.06 18672.80 15868.58 23284.57 23353.55 20593.96 21972.97 15571.96 23187.27 241
PS-MVSNAJ88.14 1687.61 2689.71 792.06 10376.72 195.75 1993.26 9283.86 1189.55 2096.06 3153.55 20597.89 4891.10 1893.31 5594.54 97
jajsoiax73.05 24971.51 25377.67 27877.46 33254.83 31988.81 25290.04 22469.13 24162.85 28683.51 24231.16 33692.75 25170.83 17769.80 24185.43 279
mvs_tets72.71 25671.11 25477.52 27977.41 33354.52 32188.45 25989.76 23068.76 24662.70 28783.26 24629.49 34092.71 25270.51 18369.62 24385.34 281
#test#84.98 6584.74 6685.72 9493.75 6065.01 16494.09 6193.19 9673.55 14479.22 11094.93 6659.04 14297.67 5582.66 8692.21 6994.49 102
EI-MVSNet-UG-set83.14 9882.96 9083.67 15692.28 9863.19 21191.38 18094.68 3479.22 5576.60 14193.75 10062.64 10597.76 5378.07 12578.01 18990.05 204
EI-MVSNet-Vis-set83.77 8983.67 7584.06 14592.79 8863.56 20591.76 16394.81 2879.65 4977.87 12594.09 9463.35 9997.90 4779.35 11179.36 17890.74 196
Regformer-385.80 5485.92 5085.46 10394.17 4865.09 16392.95 11295.11 1781.13 3381.68 8195.04 6065.82 6798.32 3483.02 8384.36 14592.97 153
Regformer-485.45 5885.69 5584.73 12594.17 4863.23 20992.95 11294.83 2680.66 3881.29 8495.04 6065.12 7398.08 4082.74 8584.36 14592.88 157
Regformer-187.24 3087.60 2786.15 8095.14 3265.83 14193.95 7195.12 1682.11 2284.25 6195.73 3667.88 4898.35 3385.60 6388.64 11194.26 106
Regformer-287.00 3787.43 3085.71 9695.14 3264.73 17093.95 7194.95 2381.69 2784.03 6695.73 3667.35 5298.19 3785.40 6588.64 11194.20 108
HPM-MVS++copyleft89.37 1389.95 1287.64 2995.10 3468.23 7595.24 3294.49 4182.43 1888.90 2496.35 2471.89 3398.63 2488.76 3696.40 696.06 36
test_prior467.18 10593.92 74
XVS83.87 8783.47 7885.05 11593.22 7263.78 19492.92 11492.66 11773.99 13078.18 12394.31 8955.25 18397.41 7079.16 11391.58 8293.95 123
v124075.21 23272.98 23681.88 20379.20 31466.00 13590.75 20589.11 25771.63 20067.41 24781.22 27447.36 26093.87 22365.46 23164.72 28085.77 272
test_prior387.38 2787.70 2486.42 7094.71 3967.35 9895.10 3793.10 10275.40 10985.25 5495.61 4067.94 4596.84 10787.47 4694.77 2595.05 77
pm-mvs172.89 25271.09 25578.26 27379.10 31857.62 29990.80 20389.30 24667.66 25362.91 28581.78 26149.11 24792.95 24060.29 26458.89 32284.22 290
test_prior295.10 3775.40 10985.25 5495.61 4067.94 4587.47 4694.77 25
X-MVStestdata76.86 20474.13 22485.05 11593.22 7263.78 19492.92 11492.66 11773.99 13078.18 12310.19 37555.25 18397.41 7079.16 11391.58 8293.95 123
test_prior86.42 7094.71 3967.35 9893.10 10296.84 10795.05 77
旧先验292.00 15259.37 31687.54 2993.47 23275.39 139
新几何291.41 174
新几何184.73 12592.32 9664.28 18691.46 16759.56 31479.77 10492.90 11956.95 16596.57 11663.40 24392.91 6193.34 139
旧先验191.94 10960.74 25991.50 16594.36 8265.23 7291.84 7794.55 95
无先验92.71 12092.61 12162.03 29797.01 9366.63 21393.97 122
原ACMM292.01 149
原ACMM184.42 13693.21 7464.27 18793.40 8965.39 27079.51 10792.50 12758.11 15096.69 11365.27 23393.96 4292.32 168
test22289.77 15761.60 24289.55 23589.42 24356.83 32877.28 13492.43 13152.76 21291.14 9193.09 149
testdata296.09 12961.26 258
segment_acmp65.94 65
testdata81.34 21489.02 17557.72 29789.84 22958.65 31985.32 5294.09 9457.03 16093.28 23469.34 19190.56 9793.03 151
testdata189.21 24477.55 84
v875.35 22973.26 23481.61 20980.67 29766.82 11589.54 23689.27 24771.65 19663.30 28280.30 28854.99 18994.06 21167.33 20962.33 29783.94 292
131480.70 13778.95 15585.94 8587.77 20867.56 9187.91 26592.55 12372.17 17867.44 24593.09 11150.27 23397.04 9271.68 17487.64 11993.23 145
112181.25 12780.05 13284.87 12292.30 9764.31 18487.91 26591.39 16959.44 31579.94 10192.91 11857.09 15897.01 9366.63 21392.81 6393.29 142
LFMVS84.34 7582.73 9789.18 1394.76 3773.25 1094.99 4391.89 14771.90 18482.16 7893.49 10747.98 25597.05 9082.55 8984.82 14197.25 7
VDD-MVS83.06 9981.81 11086.81 5390.86 14067.70 8895.40 2891.50 16575.46 10681.78 8092.34 13440.09 29397.13 8886.85 5582.04 16195.60 50
VDDNet80.50 14178.26 16287.21 4186.19 23369.79 4094.48 4991.31 17260.42 30779.34 10890.91 15438.48 30096.56 11782.16 9081.05 16995.27 67
v1074.77 23672.54 24381.46 21180.33 30366.71 11989.15 24689.08 25870.94 21563.08 28379.86 29352.52 21494.04 21465.70 22762.17 29883.64 294
VPNet78.82 17277.53 17682.70 17784.52 25966.44 12593.93 7392.23 13080.46 4072.60 17788.38 18749.18 24493.13 23672.47 16463.97 28788.55 220
MVS84.66 7082.86 9490.06 290.93 13674.56 687.91 26595.54 968.55 24772.35 18594.71 7459.78 13398.90 1881.29 10194.69 3296.74 12
v2v48277.42 19875.65 20482.73 17680.38 30067.13 10691.85 15890.23 21575.09 11569.37 21783.39 24553.79 20394.44 19771.77 17165.00 27686.63 252
V4276.46 21174.55 21582.19 19379.14 31767.82 8590.26 21989.42 24373.75 13868.63 23181.89 25951.31 22494.09 20871.69 17364.84 27784.66 287
SD-MVS87.49 2687.49 2987.50 3593.60 6368.82 6093.90 7592.63 12076.86 9287.90 2795.76 3566.17 6297.63 6089.06 3291.48 8496.05 37
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
GA-MVS78.33 18576.23 19684.65 12983.65 27366.30 12991.44 17390.14 21876.01 10170.32 20684.02 23742.50 28594.72 18470.98 17677.00 20392.94 154
MSLP-MVS++86.27 4685.91 5187.35 3992.01 10668.97 5795.04 4192.70 11479.04 6181.50 8396.50 2058.98 14496.78 10983.49 8093.93 4396.29 30
APDe-MVS87.54 2587.84 2286.65 6096.07 2566.30 12994.84 4693.78 6569.35 23688.39 2596.34 2567.74 5097.66 5890.62 2293.44 5396.01 39
APD-MVS_3200maxsize81.64 12281.32 11482.59 18192.36 9558.74 28791.39 17891.01 18963.35 28379.72 10594.62 7651.82 21896.14 12779.71 10887.93 11792.89 156
ADS-MVSNet266.90 29563.44 30077.26 28688.06 20060.70 26068.01 35275.56 35057.57 32164.48 27069.87 34438.68 29684.10 33940.87 33767.89 25786.97 243
EI-MVSNet78.97 16878.22 16381.25 21685.33 24562.73 22489.53 23793.21 9372.39 17072.14 18690.13 17060.99 11894.72 18467.73 20572.49 22786.29 257
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
CVMVSNet74.04 24174.27 22073.33 31385.33 24543.94 35989.53 23788.39 27754.33 33570.37 20590.13 17049.17 24584.05 34061.83 25679.36 17891.99 176
pmmvs473.92 24371.81 25080.25 24079.17 31565.24 15487.43 27287.26 29667.64 25563.46 28083.91 23948.96 24891.53 28962.94 24765.49 26983.96 291
EU-MVSNet64.01 30863.01 30267.02 33974.40 34538.86 36883.27 29986.19 30645.11 35654.27 32281.15 27736.91 31780.01 35948.79 30457.02 32682.19 319
VNet86.20 4785.65 5687.84 2693.92 5469.99 3395.73 2295.94 678.43 6886.00 4293.07 11458.22 14897.00 9585.22 6784.33 14896.52 19
test-LLR80.10 14879.56 14381.72 20686.93 22361.17 24792.70 12191.54 16271.51 20575.62 14986.94 20853.83 20192.38 26672.21 16684.76 14391.60 180
TESTMET0.1,182.41 10981.98 10783.72 15488.08 19963.74 19692.70 12193.77 6779.30 5377.61 13087.57 20158.19 14994.08 20973.91 15186.68 13093.33 141
test-mter79.96 15179.38 14981.72 20686.93 22361.17 24792.70 12191.54 16273.85 13575.62 14986.94 20849.84 23892.38 26672.21 16684.76 14391.60 180
VPA-MVSNet79.03 16678.00 16682.11 20085.95 23764.48 17593.22 10294.66 3575.05 11674.04 16584.95 22852.17 21793.52 23074.90 14767.04 26288.32 226
ACMMPR84.37 7384.06 7285.28 11093.56 6564.37 18293.50 9393.15 9972.19 17678.85 11994.86 7056.69 16997.45 6781.55 9592.20 7194.02 121
testgi64.48 30662.87 30469.31 33271.24 35140.62 36385.49 28479.92 34265.36 27154.18 32383.49 24323.74 35384.55 33841.60 33460.79 31382.77 307
test20.0363.83 30962.65 30567.38 33870.58 35639.94 36486.57 28184.17 32363.29 28451.86 33177.30 31037.09 31582.47 35238.87 34554.13 33679.73 337
thres600view778.00 18876.66 19082.03 20291.93 11063.69 20091.30 18596.33 172.43 16870.46 20387.89 19760.31 12494.92 17942.64 33276.64 20587.48 234
ADS-MVSNet68.54 28364.38 29681.03 22788.06 20066.90 11368.01 35284.02 32557.57 32164.48 27069.87 34438.68 29689.21 31140.87 33767.89 25786.97 243
MP-MVScopyleft85.02 6384.97 6385.17 11492.60 9264.27 18793.24 10092.27 12973.13 15079.63 10694.43 8061.90 11197.17 8585.00 6892.56 6594.06 119
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs7.23 3459.62 3480.06 3600.04 3820.02 38484.98 2870.02 3830.03 3770.18 3781.21 3770.01 3830.02 3780.14 3760.01 3760.13 375
thres40078.68 17777.43 17782.43 18392.21 10164.49 17392.05 14796.28 473.48 14571.75 19288.26 19060.07 12995.32 16645.16 32077.58 19487.48 234
test1236.92 3469.21 3490.08 3590.03 3830.05 38381.65 3100.01 3840.02 3780.14 3790.85 3780.03 3820.02 3780.12 3770.00 3770.16 374
thres20079.66 15678.33 16083.66 15792.54 9365.82 14293.06 10596.31 374.90 11873.30 16988.66 18259.67 13495.61 15247.84 31078.67 18589.56 211
test0.0.03 172.76 25472.71 24072.88 31780.25 30447.99 34991.22 18889.45 24171.51 20562.51 28987.66 19953.83 20185.06 33750.16 29767.84 25985.58 275
pmmvs355.51 32551.50 33067.53 33757.90 36950.93 33880.37 31873.66 35440.63 36144.15 35664.75 35316.30 36278.97 36044.77 32440.98 35872.69 355
EMVS23.76 34023.20 34425.46 35641.52 37616.90 38060.56 36038.79 37814.62 3718.99 37520.24 3747.35 37345.82 3747.25 3749.46 37213.64 372
E-PMN24.61 33824.00 34226.45 35543.74 37518.44 37960.86 35939.66 37515.11 3709.53 37422.10 3716.52 37446.94 3738.31 37310.14 37113.98 371
PGM-MVS83.25 9682.70 9884.92 11992.81 8764.07 19090.44 21192.20 13571.28 20977.23 13594.43 8055.17 18797.31 7779.33 11291.38 8693.37 138
LCM-MVSNet-Re72.93 25171.84 24976.18 29688.49 18548.02 34880.07 32470.17 36073.96 13352.25 33080.09 29249.98 23588.24 31867.35 20784.23 15192.28 170
LCM-MVSNet40.54 33235.79 33554.76 34736.92 37730.81 37151.41 36469.02 36122.07 36724.63 36645.37 3644.56 37765.81 36733.67 35534.50 36467.67 360
MCST-MVS91.08 191.46 289.94 497.66 273.37 997.13 295.58 889.33 185.77 4496.26 2772.84 2799.38 192.64 695.93 1097.08 9
mvs_anonymous81.36 12579.99 13585.46 10390.39 14768.40 6886.88 27990.61 20074.41 12170.31 20784.67 23163.79 9192.32 27073.13 15485.70 13595.67 47
MVS_Test84.16 8183.20 8687.05 4691.56 12369.82 3989.99 22992.05 13877.77 7882.84 7386.57 21163.93 8996.09 12974.91 14689.18 10695.25 70
MDA-MVSNet-bldmvs61.54 31757.70 32173.05 31579.53 31057.00 30883.08 30281.23 33757.57 32134.91 36372.45 33432.79 32886.26 33435.81 35041.95 35575.89 352
CDPH-MVS85.71 5685.46 5786.46 6894.75 3867.19 10393.89 7692.83 11170.90 21683.09 7295.28 5063.62 9497.36 7380.63 10494.18 3994.84 86
test1287.09 4594.60 4168.86 5892.91 10882.67 7665.44 7197.55 6493.69 5094.84 86
casdiffmvs85.37 5984.87 6586.84 5188.25 19669.07 5393.04 10791.76 15381.27 3180.84 9392.07 13864.23 8596.06 13284.98 6987.43 12195.39 55
diffmvs84.28 7683.83 7485.61 9987.40 21468.02 8090.88 20089.24 24880.54 3981.64 8292.52 12659.83 13294.52 19587.32 5085.11 13994.29 105
baseline283.68 9283.42 8284.48 13587.37 21566.00 13590.06 22495.93 779.71 4869.08 22190.39 16477.92 696.28 12278.91 11781.38 16691.16 192
baseline181.84 12081.03 12084.28 14291.60 12166.62 12191.08 19491.66 15981.87 2574.86 15691.67 14669.98 3794.92 17971.76 17264.75 27991.29 191
YYNet163.76 31160.14 31474.62 30478.06 32960.19 26983.46 29783.99 32856.18 33139.25 36071.56 34237.18 31383.34 34742.90 32948.70 34680.32 333
PMMVS237.93 33533.61 33850.92 34946.31 37424.76 37560.55 36150.05 37328.94 36620.93 36747.59 3614.41 37865.13 36825.14 36418.55 36962.87 362
MDA-MVSNet_test_wron63.78 31060.16 31374.64 30378.15 32860.41 26483.49 29584.03 32456.17 33239.17 36171.59 34137.22 31283.24 34942.87 33048.73 34580.26 334
tpmvs72.88 25369.76 26582.22 19290.98 13567.05 10878.22 33388.30 27963.10 28764.35 27474.98 32755.09 18894.27 20243.25 32669.57 24485.34 281
PM-MVS59.40 32256.59 32367.84 33463.63 36341.86 36076.76 33663.22 36859.01 31751.07 33672.27 33811.72 36883.25 34861.34 25750.28 34478.39 347
HQP_MVS80.34 14479.75 13982.12 19786.94 22162.42 22693.13 10391.31 17278.81 6472.53 17989.14 18050.66 22995.55 15876.74 13178.53 18788.39 224
plane_prior786.94 22161.51 243
plane_prior687.23 21662.32 22950.66 229
plane_prior591.31 17295.55 15876.74 13178.53 18788.39 224
plane_prior489.14 180
plane_prior361.95 23679.09 5972.53 179
plane_prior293.13 10378.81 64
plane_prior187.15 218
plane_prior62.42 22693.85 7879.38 5178.80 184
PS-CasMVS69.86 27369.13 26772.07 32580.35 30250.57 33987.02 27689.75 23167.27 25759.19 30382.28 25446.58 26482.24 35550.69 29559.02 32183.39 301
UniMVSNet_NR-MVSNet78.15 18777.55 17579.98 24584.46 26160.26 26692.25 13793.20 9577.50 8568.88 22586.61 21066.10 6392.13 27366.38 21962.55 29487.54 232
PEN-MVS69.46 27568.56 26972.17 32479.27 31349.71 34386.90 27889.24 24867.24 26059.08 30482.51 25347.23 26183.54 34548.42 30557.12 32583.25 302
TransMVSNet (Re)70.07 27067.66 27477.31 28580.62 29959.13 28491.78 16284.94 31765.97 26660.08 29880.44 28550.78 22891.87 27848.84 30345.46 35180.94 326
DTE-MVSNet68.46 28467.33 27671.87 32777.94 33049.00 34686.16 28388.58 27566.36 26458.19 30882.21 25646.36 26583.87 34344.97 32355.17 33282.73 308
DU-MVS76.86 20475.84 20179.91 24782.96 28160.26 26691.26 18691.54 16276.46 9868.88 22586.35 21256.16 17492.13 27366.38 21962.55 29487.35 238
UniMVSNet (Re)77.58 19676.78 18879.98 24584.11 26760.80 25491.76 16393.17 9876.56 9769.93 21484.78 23063.32 10092.36 26864.89 23562.51 29686.78 247
CP-MVSNet70.50 26769.91 26372.26 32280.71 29651.00 33787.23 27490.30 21167.84 25059.64 29982.69 25050.23 23482.30 35451.28 29359.28 32083.46 299
WR-MVS_H70.59 26669.94 26272.53 31981.03 29351.43 33487.35 27392.03 14067.38 25660.23 29780.70 28055.84 18183.45 34646.33 31658.58 32482.72 309
WR-MVS76.76 20875.74 20379.82 25084.60 25762.27 23192.60 12792.51 12476.06 10067.87 24185.34 22356.76 16690.24 30162.20 25363.69 28986.94 245
NR-MVSNet76.05 21774.59 21380.44 23482.96 28162.18 23290.83 20291.73 15477.12 8960.96 29486.35 21259.28 14091.80 28060.74 26061.34 30987.35 238
Baseline_NR-MVSNet73.99 24272.83 23777.48 28180.78 29559.29 28291.79 16084.55 32168.85 24368.99 22380.70 28056.16 17492.04 27662.67 25060.98 31181.11 324
TranMVSNet+NR-MVSNet75.86 22274.52 21679.89 24882.44 28460.64 26291.37 18191.37 17076.63 9567.65 24386.21 21552.37 21691.55 28561.84 25560.81 31287.48 234
TSAR-MVS + GP.87.96 1988.37 1886.70 5993.51 6765.32 15295.15 3593.84 6478.17 7285.93 4394.80 7275.80 1398.21 3589.38 2788.78 10896.59 15
abl_679.82 15479.20 15281.70 20889.85 15558.34 29188.47 25890.07 22062.56 29277.71 12793.08 11247.65 25996.78 10977.94 12685.45 13889.99 205
n20.00 385
nn0.00 385
mPP-MVS82.96 10282.44 10284.52 13392.83 8362.92 21992.76 11791.85 15071.52 20475.61 15194.24 9153.48 20896.99 9878.97 11690.73 9393.64 134
door-mid66.01 366
XVG-OURS-SEG-HR74.70 23773.08 23579.57 25778.25 32757.33 30580.49 31787.32 29463.22 28568.76 22990.12 17244.89 27791.59 28470.55 18274.09 21589.79 206
DWT-MVSNet_test83.95 8582.80 9587.41 3792.90 8270.07 3289.12 24794.42 4582.15 2177.64 12891.77 14270.81 3596.22 12465.03 23481.36 16795.94 40
MVSFormer83.75 9082.88 9386.37 7389.24 17171.18 2089.07 24890.69 19565.80 26787.13 3094.34 8764.99 7592.67 25572.83 15791.80 7895.27 67
jason86.40 4486.17 4787.11 4486.16 23470.54 2795.71 2392.19 13682.00 2484.58 5894.34 8761.86 11295.53 16087.76 4290.89 9295.27 67
jason: jason.
lupinMVS87.74 2387.77 2387.63 3389.24 17171.18 2096.57 1092.90 10982.70 1787.13 3095.27 5264.99 7595.80 13989.34 2891.80 7895.93 41
test_djsdf73.76 24672.56 24277.39 28377.00 33553.93 32389.07 24890.69 19565.80 26763.92 27582.03 25843.14 28492.67 25572.83 15768.53 25285.57 276
HPM-MVS_fast80.25 14579.55 14582.33 18791.55 12459.95 27191.32 18489.16 25365.23 27374.71 15793.07 11447.81 25795.74 14374.87 14888.23 11391.31 190
RRT_test8_iter0580.61 13879.62 14183.60 15891.87 11666.90 11393.42 9893.68 7377.09 9068.83 22785.63 22266.82 5795.42 16276.46 13562.74 29388.48 221
K. test v363.09 31259.61 31673.53 31276.26 33949.38 34583.27 29977.15 34664.35 27647.77 34672.32 33728.73 34287.79 32349.93 29936.69 36183.41 300
lessismore_v073.72 31172.93 34947.83 35061.72 37045.86 35073.76 33028.63 34489.81 30647.75 31231.37 36683.53 296
SixPastTwentyTwo64.92 30361.78 31074.34 30778.74 32249.76 34283.42 29879.51 34462.86 28850.27 33877.35 30930.92 33890.49 29645.89 31847.06 34882.78 306
OurMVSNet-221017-064.68 30462.17 30872.21 32376.08 34147.35 35280.67 31681.02 33856.19 33051.60 33279.66 29627.05 34788.56 31553.60 28953.63 33780.71 329
HPM-MVScopyleft83.25 9682.95 9184.17 14392.25 9962.88 22190.91 19791.86 14870.30 22577.12 13693.96 9856.75 16796.28 12282.04 9191.34 8893.34 139
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
XVG-OURS74.25 24072.46 24479.63 25578.45 32657.59 30080.33 31987.39 29363.86 28068.76 22989.62 17640.50 29291.72 28269.00 19574.25 21389.58 209
XVG-ACMP-BASELINE68.04 28765.53 28675.56 29874.06 34652.37 32978.43 33085.88 30962.03 29758.91 30681.21 27620.38 35991.15 29260.69 26168.18 25483.16 304
LPG-MVS_test75.82 22374.58 21479.56 25884.31 26459.37 27990.44 21189.73 23469.49 23464.86 26588.42 18538.65 29894.30 20072.56 16272.76 22485.01 284
LGP-MVS_train79.56 25884.31 26459.37 27989.73 23469.49 23464.86 26588.42 18538.65 29894.30 20072.56 16272.76 22485.01 284
baseline85.01 6484.44 6986.71 5788.33 19368.73 6190.24 22091.82 15281.05 3581.18 8792.50 12763.69 9396.08 13184.45 7386.71 12995.32 61
test1193.01 104
door66.57 365
EPNet_dtu78.80 17379.26 15177.43 28288.06 20049.71 34391.96 15491.95 14377.67 8076.56 14291.28 15158.51 14690.20 30356.37 27880.95 17092.39 165
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x268884.98 6583.45 7989.57 1189.94 15475.14 592.07 14692.32 12781.87 2575.68 14888.27 18960.18 12698.60 2580.46 10690.27 9994.96 81
EPNet87.84 2288.38 1786.23 7893.30 7066.05 13395.26 3194.84 2587.09 388.06 2694.53 7766.79 5897.34 7583.89 7891.68 8095.29 63
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS63.66 202
HQP-NCC87.54 21094.06 6379.80 4574.18 160
ACMP_Plane87.54 21094.06 6379.80 4574.18 160
APD-MVScopyleft85.93 5285.99 4985.76 9395.98 2865.21 15593.59 8992.58 12266.54 26286.17 4095.88 3363.83 9097.00 9586.39 5892.94 6095.06 76
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS77.63 128
HQP4-MVS74.18 16095.61 15288.63 218
HQP3-MVS91.70 15778.90 182
HQP2-MVS51.63 222
CNVR-MVS90.32 590.89 688.61 1996.76 1070.65 2596.47 1294.83 2684.83 989.07 2396.80 1570.86 3499.06 1592.64 695.71 1196.12 35
NCCC89.07 1489.46 1487.91 2496.60 1269.05 5496.38 1394.64 3684.42 1086.74 3496.20 2866.56 6198.76 2289.03 3494.56 3395.92 42
114514_t79.17 16577.67 17283.68 15595.32 3165.53 14992.85 11691.60 16163.49 28267.92 23890.63 15946.65 26395.72 14867.01 21183.54 15389.79 206
CP-MVS83.71 9183.40 8384.65 12993.14 7763.84 19294.59 4892.28 12871.03 21477.41 13294.92 6855.21 18696.19 12581.32 10090.70 9493.91 125
DSMNet-mixed56.78 32454.44 32763.79 34163.21 36429.44 37264.43 35764.10 36742.12 36051.32 33471.60 34031.76 33375.04 36136.23 34865.20 27486.87 246
tpm279.80 15577.95 16885.34 10988.28 19468.26 7381.56 31191.42 16870.11 22777.59 13180.50 28467.40 5194.26 20467.34 20877.35 19993.51 136
NP-MVS87.41 21363.04 21390.30 166
EG-PatchMatch MVS68.55 28265.41 28777.96 27678.69 32362.93 21789.86 23189.17 25260.55 30650.27 33877.73 30822.60 35594.06 21147.18 31372.65 22676.88 350
tpm cat175.30 23072.21 24684.58 13288.52 18467.77 8678.16 33488.02 28661.88 30068.45 23476.37 32060.65 12194.03 21653.77 28874.11 21491.93 177
SteuartSystems-ACMMP86.82 4186.90 3986.58 6390.42 14566.38 12696.09 1593.87 6377.73 7984.01 6795.66 3863.39 9897.94 4387.40 4893.55 5295.42 53
Skip Steuart: Steuart Systems R&D Blog.
CostFormer82.33 11081.15 11585.86 8889.01 17668.46 6782.39 30693.01 10475.59 10480.25 9881.57 26672.03 3294.96 17679.06 11577.48 19894.16 112
CR-MVSNet73.79 24570.82 25782.70 17783.15 27967.96 8170.25 34584.00 32673.67 14269.97 21272.41 33557.82 15289.48 30952.99 29173.13 22190.64 198
JIA-IIPM66.06 29962.45 30676.88 29181.42 29254.45 32257.49 36388.67 27149.36 34763.86 27646.86 36256.06 17790.25 29849.53 30068.83 24985.95 268
Patchmtry67.53 29263.93 29778.34 27082.12 28664.38 18168.72 34984.00 32648.23 35159.24 30172.41 33557.82 15289.27 31046.10 31756.68 32981.36 323
PatchT69.11 27765.37 28880.32 23682.07 28763.68 20167.96 35487.62 29150.86 34369.37 21765.18 35157.09 15888.53 31641.59 33566.60 26588.74 217
tpmrst80.57 13979.14 15484.84 12390.10 15168.28 7281.70 30989.72 23677.63 8375.96 14579.54 29764.94 7792.71 25275.43 13877.28 20193.55 135
BH-w/o80.49 14279.30 15084.05 14690.83 14164.36 18393.60 8889.42 24374.35 12369.09 22090.15 16955.23 18595.61 15264.61 23686.43 13392.17 175
tpm78.58 18077.03 18483.22 16885.94 23964.56 17183.21 30191.14 18178.31 6973.67 16779.68 29564.01 8792.09 27566.07 22371.26 23793.03 151
DELS-MVS90.05 790.09 1089.94 493.14 7773.88 897.01 394.40 4888.32 285.71 4694.91 6974.11 2098.91 1787.26 5195.94 997.03 10
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
BH-untuned78.68 17777.08 18383.48 16389.84 15663.74 19692.70 12188.59 27471.57 20266.83 25488.65 18351.75 22095.39 16459.03 27084.77 14291.32 189
RPMNet70.42 26865.68 28484.63 13183.15 27967.96 8170.25 34590.45 20146.83 35469.97 21265.10 35256.48 17395.30 16935.79 35173.13 22190.64 198
MVSTER82.47 10882.05 10583.74 15192.68 9069.01 5591.90 15593.21 9379.83 4472.14 18685.71 22174.72 1694.72 18475.72 13772.49 22787.50 233
CPTT-MVS79.59 15879.16 15380.89 23191.54 12559.80 27392.10 14388.54 27660.42 30772.96 17193.28 10948.27 25192.80 24978.89 11886.50 13290.06 203
GBi-Net75.65 22573.83 22881.10 22388.85 17865.11 16090.01 22690.32 20770.84 21767.04 25180.25 28948.03 25291.54 28659.80 26769.34 24586.64 249
PVSNet_Blended_VisFu83.97 8483.50 7785.39 10790.02 15266.59 12393.77 8391.73 15477.43 8777.08 13889.81 17463.77 9296.97 10079.67 10988.21 11492.60 161
PVSNet_BlendedMVS83.38 9483.43 8083.22 16893.76 5867.53 9394.06 6393.61 7679.13 5881.00 9185.14 22563.19 10197.29 7887.08 5273.91 21784.83 286
UnsupCasMVSNet_eth65.79 30163.10 30173.88 30970.71 35450.29 34181.09 31489.88 22872.58 16249.25 34274.77 32932.57 33087.43 32855.96 28041.04 35783.90 293
UnsupCasMVSNet_bld61.60 31657.71 32073.29 31468.73 35951.64 33278.61 32989.05 26057.20 32546.11 34761.96 35628.70 34388.60 31450.08 29838.90 35979.63 338
PVSNet_Blended86.73 4286.86 4086.31 7693.76 5867.53 9396.33 1493.61 7682.34 1981.00 9193.08 11263.19 10197.29 7887.08 5291.38 8694.13 114
FMVSNet568.04 28765.66 28575.18 30184.43 26257.89 29483.54 29486.26 30461.83 30153.64 32673.30 33237.15 31485.08 33648.99 30261.77 30382.56 314
test175.65 22573.83 22881.10 22388.85 17865.11 16090.01 22690.32 20770.84 21767.04 25180.25 28948.03 25291.54 28659.80 26769.34 24586.64 249
new_pmnet49.31 32946.44 33257.93 34362.84 36540.74 36268.47 35162.96 36936.48 36235.09 36257.81 35814.97 36472.18 36332.86 35946.44 34960.88 363
FMVSNet377.73 19476.04 19882.80 17491.20 13368.99 5691.87 15691.99 14173.35 14767.04 25183.19 24756.62 17092.14 27259.80 26769.34 24587.28 240
dp75.01 23472.09 24783.76 15089.28 16966.22 13279.96 32689.75 23171.16 21167.80 24277.19 31351.81 21992.54 26050.39 29671.44 23692.51 164
FMVSNet276.07 21474.01 22682.26 19188.85 17867.66 8991.33 18391.61 16070.84 21765.98 25882.25 25548.03 25292.00 27758.46 27268.73 25187.10 242
FMVSNet172.71 25669.91 26381.10 22383.60 27465.11 16090.01 22690.32 20763.92 27963.56 27980.25 28936.35 31991.54 28654.46 28466.75 26486.64 249
N_pmnet50.55 32849.11 33154.88 34677.17 3344.02 38284.36 2892.00 38148.59 34845.86 35068.82 34632.22 33182.80 35131.58 36351.38 34177.81 348
cascas78.18 18675.77 20285.41 10687.14 21969.11 5292.96 11191.15 18066.71 26170.47 20286.07 21637.49 31096.48 12070.15 18479.80 17590.65 197
BH-RMVSNet79.46 16277.65 17384.89 12091.68 12065.66 14493.55 9088.09 28572.93 15573.37 16891.12 15246.20 27096.12 12856.28 27985.61 13792.91 155
UGNet79.87 15378.68 15683.45 16489.96 15361.51 24392.13 14190.79 19376.83 9378.85 11986.33 21438.16 30296.17 12667.93 20387.17 12292.67 159
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
WTY-MVS86.32 4585.81 5287.85 2592.82 8569.37 4995.20 3395.25 1282.71 1681.91 7994.73 7367.93 4797.63 6079.55 11082.25 15996.54 18
XXY-MVS77.94 19176.44 19382.43 18382.60 28364.44 17792.01 14991.83 15173.59 14370.00 21185.82 21954.43 19694.76 18169.63 18768.02 25688.10 229
DROMVSNet84.53 7285.04 6283.01 17189.34 16661.37 24694.42 5091.09 18377.91 7683.24 7094.20 9258.37 14795.40 16385.35 6691.41 8592.27 173
sss82.71 10682.38 10383.73 15389.25 17059.58 27692.24 13894.89 2477.96 7479.86 10392.38 13256.70 16897.05 9077.26 13080.86 17194.55 95
Test_1112_low_res79.56 15978.60 15882.43 18388.24 19760.39 26592.09 14487.99 28772.10 18071.84 19087.42 20364.62 8093.04 23765.80 22677.30 20093.85 129
1112_ss80.56 14079.83 13882.77 17588.65 18360.78 25592.29 13688.36 27872.58 16272.46 18294.95 6465.09 7493.42 23366.38 21977.71 19194.10 115
ab-mvs-re7.91 34410.55 3470.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38094.95 640.00 3840.00 3800.00 3780.00 3770.00 376
ab-mvs80.18 14678.31 16185.80 9188.44 18865.49 15183.00 30392.67 11671.82 19177.36 13385.01 22654.50 19296.59 11476.35 13675.63 21095.32 61
TR-MVS78.77 17577.37 18282.95 17290.49 14460.88 25393.67 8590.07 22070.08 22874.51 15891.37 15045.69 27195.70 14960.12 26580.32 17392.29 169
MDTV_nov1_ep13_2view59.90 27280.13 32367.65 25472.79 17454.33 19859.83 26692.58 162
MDTV_nov1_ep1372.61 24189.06 17468.48 6680.33 31990.11 21971.84 19071.81 19175.92 32453.01 21193.92 22148.04 30773.38 219
MIMVSNet160.16 32157.33 32268.67 33369.71 35744.13 35878.92 32884.21 32255.05 33444.63 35471.85 33923.91 35281.54 35832.63 36055.03 33380.35 332
MIMVSNet71.64 26168.44 27081.23 21781.97 28864.44 17773.05 34188.80 26769.67 23364.59 26874.79 32832.79 32887.82 32253.99 28676.35 20791.42 184
IterMVS-LS76.49 21075.18 20880.43 23584.49 26062.74 22390.64 20888.80 26772.40 16965.16 26481.72 26260.98 11992.27 27167.74 20464.65 28186.29 257
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet81.43 12480.74 12283.52 15986.26 23264.45 17692.09 14490.65 19975.83 10373.95 16689.81 17463.97 8892.91 24571.27 17582.82 15693.20 146
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
ACMMP++_ref71.63 232
IterMVS72.65 25870.83 25678.09 27582.17 28562.96 21687.64 27086.28 30371.56 20360.44 29678.85 30045.42 27486.66 33163.30 24561.83 30284.65 288
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS Recon82.73 10481.65 11185.98 8397.31 467.06 10795.15 3591.99 14169.08 24276.50 14393.89 9954.48 19598.20 3670.76 17985.66 13692.69 158
MVS_111021_LR82.02 11781.52 11283.51 16188.42 18962.88 22189.77 23288.93 26376.78 9475.55 15293.10 11050.31 23295.38 16583.82 7987.02 12392.26 174
DP-MVS69.90 27266.48 27880.14 24195.36 3062.93 21789.56 23476.11 34750.27 34557.69 31485.23 22439.68 29495.73 14433.35 35671.05 23881.78 322
ACMMP++69.72 242
HQP-MVS81.14 12980.64 12582.64 17987.54 21063.66 20294.06 6391.70 15779.80 4574.18 16090.30 16651.63 22295.61 15277.63 12878.90 18288.63 218
QAPM79.95 15277.39 18187.64 2989.63 16071.41 1893.30 9993.70 7265.34 27267.39 24891.75 14447.83 25698.96 1657.71 27489.81 10092.54 163
Vis-MVSNetpermissive80.92 13579.98 13683.74 15188.48 18661.80 23793.44 9588.26 28373.96 13377.73 12691.76 14349.94 23694.76 18165.84 22590.37 9894.65 93
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet60.25 32055.55 32674.35 30684.37 26356.57 31071.64 34374.11 35334.44 36345.54 35242.24 36631.11 33789.81 30640.36 34076.10 20876.67 351
IS-MVSNet80.14 14779.41 14782.33 18787.91 20460.08 27091.97 15388.27 28172.90 15771.44 19691.73 14561.44 11593.66 22862.47 25286.53 13193.24 144
HyFIR lowres test81.03 13379.56 14385.43 10587.81 20768.11 7890.18 22190.01 22570.65 22272.95 17286.06 21763.61 9594.50 19675.01 14479.75 17693.67 132
EPMVS78.49 18275.98 19986.02 8291.21 13269.68 4480.23 32191.20 17675.25 11372.48 18178.11 30554.65 19193.69 22757.66 27583.04 15494.69 89
PAPM_NR82.97 10181.84 10886.37 7394.10 5266.76 11887.66 26992.84 11069.96 22974.07 16493.57 10563.10 10397.50 6670.66 18190.58 9694.85 83
TAMVS80.37 14379.45 14683.13 17085.14 24963.37 20691.23 18790.76 19474.81 11972.65 17688.49 18460.63 12292.95 24069.41 19081.95 16293.08 150
PAPR85.15 6284.47 6787.18 4296.02 2768.29 7191.85 15893.00 10676.59 9679.03 11395.00 6261.59 11497.61 6278.16 12489.00 10795.63 49
RPSCF64.24 30761.98 30971.01 32976.10 34045.00 35675.83 33875.94 34846.94 35358.96 30584.59 23231.40 33582.00 35647.76 31160.33 31886.04 265
Vis-MVSNet (Re-imp)79.24 16479.57 14278.24 27488.46 18752.29 33090.41 21389.12 25674.24 12669.13 21991.91 14065.77 6890.09 30559.00 27188.09 11692.33 167
test_040264.54 30561.09 31174.92 30284.10 26860.75 25887.95 26479.71 34352.03 33952.41 32977.20 31232.21 33291.64 28323.14 36561.03 31072.36 357
MVS_111021_HR86.19 4885.80 5387.37 3893.17 7669.79 4093.99 6793.76 6879.08 6078.88 11793.99 9762.25 10998.15 3885.93 6291.15 9094.15 113
CSCG86.87 3886.26 4588.72 1595.05 3570.79 2493.83 8295.33 1168.48 24977.63 12994.35 8673.04 2598.45 2984.92 7093.71 4996.92 11
PatchMatch-RL72.06 25969.98 26078.28 27289.51 16455.70 31583.49 29583.39 33261.24 30363.72 27882.76 24934.77 32393.03 23853.37 29077.59 19386.12 264
API-MVS82.28 11180.53 12787.54 3496.13 2470.59 2693.63 8791.04 18865.72 26975.45 15392.83 12356.11 17698.89 1964.10 23989.75 10393.15 147
Test By Simon54.21 199
TDRefinement55.28 32651.58 32966.39 34059.53 36846.15 35576.23 33772.80 35544.60 35742.49 35876.28 32115.29 36382.39 35333.20 35743.75 35370.62 359
USDC67.43 29464.51 29376.19 29577.94 33055.29 31778.38 33185.00 31673.17 14948.36 34480.37 28621.23 35792.48 26352.15 29264.02 28680.81 328
EPP-MVSNet81.79 12181.52 11282.61 18088.77 18260.21 26893.02 10993.66 7568.52 24872.90 17390.39 16472.19 3194.96 17674.93 14579.29 18092.67 159
PMMVS81.98 11882.04 10681.78 20489.76 15856.17 31191.13 19390.69 19577.96 7480.09 10093.57 10546.33 26894.99 17581.41 9887.46 12094.17 111
PAPM85.89 5385.46 5787.18 4288.20 19872.42 1492.41 13492.77 11282.11 2280.34 9793.07 11468.27 4095.02 17478.39 12293.59 5194.09 116
ACMMPcopyleft81.49 12380.67 12483.93 14891.71 11962.90 22092.13 14192.22 13471.79 19271.68 19493.49 10750.32 23196.96 10178.47 12184.22 15291.93 177
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
CNLPA74.31 23972.30 24580.32 23691.49 12661.66 24190.85 20180.72 34056.67 32963.85 27790.64 15746.75 26290.84 29353.79 28775.99 20988.47 223
PatchmatchNetpermissive77.46 19774.63 21285.96 8489.55 16370.35 2979.97 32589.55 23972.23 17570.94 19876.91 31657.03 16092.79 25054.27 28581.17 16894.74 88
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS86.83 4086.85 4186.78 5593.47 6865.55 14895.39 2995.10 1871.77 19385.69 4796.52 1862.07 11098.77 2186.06 6195.60 1296.03 38
F-COLMAP70.66 26568.44 27077.32 28486.37 23155.91 31388.00 26386.32 30256.94 32757.28 31688.07 19433.58 32692.49 26251.02 29468.37 25383.55 295
ANet_high40.27 33335.20 33655.47 34434.74 37834.47 37063.84 35871.56 35848.42 34918.80 36941.08 3679.52 37164.45 37020.18 3668.66 37467.49 361
wuyk23d11.30 34310.95 34612.33 35848.05 37319.89 37825.89 3701.92 3823.58 3743.12 3761.37 3760.64 38115.77 3776.23 3757.77 3751.35 373
OMC-MVS78.67 17977.91 17080.95 22985.76 24157.40 30488.49 25788.67 27173.85 13572.43 18392.10 13749.29 24394.55 19272.73 16077.89 19090.91 195
MG-MVS87.11 3386.27 4489.62 897.79 176.27 494.96 4494.49 4178.74 6683.87 6892.94 11764.34 8496.94 10375.19 14094.09 4095.66 48
AdaColmapbinary78.94 16977.00 18684.76 12496.34 1965.86 13992.66 12587.97 28862.18 29570.56 20192.37 13343.53 28297.35 7464.50 23782.86 15591.05 194
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
ITE_SJBPF70.43 33074.44 34447.06 35377.32 34560.16 31054.04 32483.53 24123.30 35484.01 34143.07 32761.58 30880.21 336
DeepMVS_CXcopyleft34.71 35451.45 37124.73 37628.48 38031.46 36417.49 37052.75 3595.80 37542.60 37518.18 36719.42 36836.81 367
TinyColmap60.32 31956.42 32572.00 32678.78 32153.18 32678.36 33275.64 34952.30 33841.59 35975.82 32514.76 36588.35 31735.84 34954.71 33574.46 354
MAR-MVS84.18 8083.43 8086.44 6996.25 2365.93 13894.28 5494.27 5474.41 12179.16 11295.61 4053.99 20098.88 2069.62 18893.26 5694.50 101
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
LF4IMVS54.01 32752.12 32859.69 34262.41 36639.91 36668.59 35068.28 36442.96 35944.55 35575.18 32614.09 36768.39 36541.36 33651.68 34070.78 358
MSDG69.54 27465.73 28380.96 22885.11 25163.71 19884.19 29083.28 33356.95 32654.50 32184.03 23631.50 33496.03 13442.87 33069.13 24883.14 305
LS3D69.17 27666.40 27977.50 28091.92 11156.12 31285.12 28580.37 34146.96 35256.50 31887.51 20237.25 31193.71 22632.52 36179.40 17782.68 312
CLD-MVS82.73 10482.35 10483.86 14987.90 20567.65 9095.45 2792.18 13785.06 872.58 17892.27 13552.46 21595.78 14084.18 7479.06 18188.16 228
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS45.64 33043.10 33353.23 34851.42 37236.46 36964.97 35671.91 35729.13 36527.53 36561.55 3579.83 37065.01 36916.00 36955.58 33158.22 364
Gipumacopyleft34.91 33631.44 33945.30 35170.99 35339.64 36719.85 37172.56 35620.10 36916.16 37121.47 3725.08 37671.16 36413.07 37043.70 35425.08 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015