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-MVS80.84 188.10 1288.56 1286.73 5692.24 7869.03 11089.57 8993.39 3577.53 4689.79 1894.12 4378.98 1296.58 3685.66 2795.72 2994.58 24
DeepC-MVS79.81 287.08 3786.88 3887.69 3691.16 9172.32 4790.31 7193.94 1777.12 5782.82 9494.23 3972.13 5297.09 1484.83 3695.37 3593.65 70
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast79.65 386.91 3886.62 4187.76 2993.52 5272.37 4491.26 4893.04 4376.62 7284.22 7393.36 6171.44 5796.76 2480.82 8395.33 3894.16 40
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+77.84 485.48 5984.47 7488.51 691.08 9273.49 1793.18 1193.78 2180.79 1076.66 18793.37 6060.40 18896.75 2577.20 11493.73 6895.29 2
3Dnovator76.31 583.38 8582.31 9486.59 6087.94 18872.94 2990.64 6092.14 9177.21 5375.47 21292.83 7358.56 19594.72 11073.24 15192.71 7692.13 126
ACMP74.13 681.51 11780.57 11984.36 11389.42 13068.69 12589.97 7991.50 12074.46 12075.04 23090.41 12353.82 23194.54 11277.56 11082.91 19389.86 207
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PCF-MVS73.52 780.38 14278.84 15685.01 8987.71 19668.99 11383.65 25391.46 12163.00 28977.77 16490.28 12466.10 10695.09 9561.40 25288.22 13190.94 161
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
ACMM73.20 880.78 13479.84 13283.58 14089.31 13968.37 13089.99 7891.60 11470.28 19277.25 17389.66 14153.37 23493.53 15974.24 13982.85 19488.85 238
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TAPA-MVS73.13 979.15 17077.94 17582.79 17789.59 12362.99 23788.16 13991.51 11765.77 25877.14 17991.09 10960.91 17893.21 17050.26 32187.05 14492.17 125
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
OpenMVScopyleft72.83 1079.77 15378.33 16884.09 12385.17 24069.91 9490.57 6290.97 13366.70 24572.17 25891.91 8654.70 22393.96 13361.81 24990.95 9888.41 251
PLCcopyleft70.83 1178.05 19876.37 21683.08 16191.88 8567.80 14188.19 13789.46 17364.33 27669.87 28488.38 17753.66 23293.58 15458.86 27382.73 19687.86 259
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
HY-MVS69.67 1277.95 20177.15 19680.36 22987.57 20360.21 27083.37 26087.78 22366.11 25375.37 21887.06 21563.27 13490.48 25661.38 25382.43 20090.40 180
LTVRE_ROB69.57 1376.25 23274.54 23781.41 20488.60 16864.38 20579.24 30189.12 18870.76 18469.79 28687.86 19149.09 28293.20 17256.21 29680.16 22486.65 289
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
ACMH+68.96 1476.01 23574.01 24282.03 19288.60 16865.31 18888.86 10787.55 22670.25 19367.75 29887.47 20141.27 32993.19 17458.37 27875.94 27287.60 264
IB-MVS68.01 1575.85 23773.36 24983.31 14884.76 24766.03 16983.38 25985.06 25970.21 19469.40 28881.05 30845.76 30594.66 11165.10 22375.49 27889.25 222
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
ACMH67.68 1675.89 23673.93 24381.77 19788.71 16566.61 16288.62 11989.01 19169.81 20066.78 31086.70 22541.95 32891.51 23355.64 29778.14 24487.17 276
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
COLMAP_ROBcopyleft66.92 1773.01 26570.41 27680.81 22187.13 21465.63 18088.30 13284.19 27262.96 29063.80 33387.69 19438.04 34292.56 19546.66 33874.91 29184.24 319
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PVSNet64.34 1872.08 27470.87 27375.69 29386.21 22656.44 31274.37 33480.73 31162.06 30170.17 27782.23 30042.86 32083.31 32554.77 30084.45 17487.32 272
OpenMVS_ROBcopyleft64.09 1970.56 28368.19 28877.65 27580.26 32459.41 27685.01 22382.96 29358.76 32565.43 32182.33 29737.63 34491.23 24045.34 34676.03 27182.32 335
PVSNet_057.27 2061.67 32259.27 32568.85 33479.61 33457.44 29968.01 35273.44 35055.93 34258.54 34870.41 35444.58 31177.55 34847.01 33735.91 36471.55 357
CMPMVSbinary51.72 2170.19 28768.16 28976.28 28973.15 36257.55 29779.47 29983.92 27448.02 35556.48 35484.81 26643.13 31886.42 30462.67 24081.81 20784.89 312
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PMVScopyleft37.38 2244.16 33340.28 33655.82 34540.82 37642.54 36565.12 35763.99 36734.43 36424.48 36757.12 3633.92 37776.17 35317.10 36955.52 35548.75 364
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive26.22 2330.37 33825.89 34243.81 35044.55 37535.46 37028.87 36839.07 37518.20 36918.58 37140.18 3662.68 37847.37 37217.07 37023.78 36848.60 365
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
EGC-MVSNET52.07 32947.05 33367.14 33883.51 26860.71 26280.50 28967.75 3610.07 3740.43 37575.85 34624.26 36281.54 33228.82 36262.25 34559.16 362
test250677.30 21576.49 21279.74 24290.08 11252.02 34187.86 15063.10 36874.88 10980.16 12792.79 7638.29 34192.35 20468.74 19192.50 8094.86 12
test111179.43 16279.18 15080.15 23489.99 11653.31 33887.33 16277.05 33875.04 10580.23 12692.77 7848.97 28492.33 20668.87 18992.40 8294.81 15
ECVR-MVScopyleft79.61 15579.26 14780.67 22490.08 11254.69 32587.89 14877.44 33574.88 10980.27 12492.79 7648.96 28592.45 19868.55 19292.50 8094.86 12
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
DVP-MVS++90.23 191.01 187.89 2494.34 2971.25 6395.06 194.23 578.38 3392.78 495.74 682.45 397.49 389.42 496.68 294.95 5
FOURS195.00 1072.39 4295.06 193.84 1874.49 11891.30 15
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 29
PC_three_145268.21 23492.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 5
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 29
test_one_060195.07 771.46 6194.14 778.27 3592.05 1195.74 680.83 11
eth-test20.00 382
eth-test0.00 382
GeoE81.71 11081.01 11483.80 13789.51 12764.45 20388.97 10388.73 20471.27 17478.63 14589.76 13866.32 10493.20 17269.89 17886.02 16093.74 63
test_method31.52 33629.28 34038.23 35127.03 3786.50 38020.94 36962.21 3694.05 37222.35 37052.50 36413.33 37047.58 37127.04 36534.04 36560.62 361
Anonymous2024052168.80 29667.22 30273.55 31174.33 35554.11 33083.18 26185.61 25458.15 32861.68 33980.94 31130.71 35881.27 33457.00 29173.34 30885.28 307
h-mvs3383.15 8782.19 9586.02 7390.56 10270.85 7888.15 14089.16 18476.02 8584.67 6391.39 10261.54 16395.50 7082.71 6775.48 27991.72 137
hse-mvs281.72 10980.94 11584.07 12488.72 16467.68 14485.87 20487.26 23376.02 8584.67 6388.22 18361.54 16393.48 16182.71 6773.44 30691.06 155
CL-MVSNet_self_test72.37 27271.46 26475.09 30079.49 33653.53 33480.76 28585.01 26169.12 21770.51 27182.05 30257.92 19984.13 31952.27 30966.00 33887.60 264
KD-MVS_2432*160066.22 31263.89 31373.21 31375.47 35353.42 33670.76 34384.35 26764.10 27866.52 31378.52 33034.55 35284.98 31350.40 31750.33 36181.23 341
KD-MVS_self_test68.81 29567.59 30072.46 31874.29 35645.45 36077.93 31587.00 23763.12 28663.99 33178.99 32942.32 32384.77 31656.55 29464.09 34387.16 278
AUN-MVS79.21 16977.60 18884.05 12688.71 16567.61 14585.84 20687.26 23369.08 21877.23 17588.14 18853.20 23693.47 16275.50 13273.45 30591.06 155
ZD-MVS94.38 2772.22 4892.67 6770.98 17987.75 3194.07 4574.01 3896.70 2684.66 3994.84 48
test117286.20 5086.22 4786.12 7093.95 4269.89 9691.79 4192.28 8275.07 10486.40 3994.58 2265.00 12095.56 6684.34 4592.60 7792.90 100
SR-MVS-dyc-post85.77 5585.61 5686.23 6693.06 6270.63 8291.88 3792.27 8373.53 14185.69 4694.45 2865.00 12095.56 6682.75 6591.87 8692.50 111
RE-MVS-def85.48 5793.06 6270.63 8291.88 3792.27 8373.53 14185.69 4694.45 2863.87 12782.75 6591.87 8692.50 111
SED-MVS90.08 290.85 287.77 2695.30 270.98 7093.57 794.06 1277.24 5193.10 195.72 882.99 197.44 589.07 996.63 494.88 9
IU-MVS95.30 271.25 6392.95 5666.81 24292.39 688.94 1196.63 494.85 14
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5396.48 894.88 9
test_241102_TWO94.06 1277.24 5192.78 495.72 881.26 897.44 589.07 996.58 694.26 38
test_241102_ONE95.30 270.98 7094.06 1277.17 5593.10 195.39 1182.99 197.27 10
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6689.69 16874.31 12289.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 16
SF-MVS88.46 1188.74 1187.64 3892.78 6971.95 5392.40 2294.74 275.71 9089.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 16
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8772.45 4190.02 7794.37 471.76 16487.28 3494.27 3675.18 2596.08 4985.16 3095.77 2693.80 62
cl2278.07 19777.01 19881.23 21182.37 29861.83 25083.55 25787.98 21768.96 22375.06 22983.87 27661.40 16891.88 22373.53 14476.39 26689.98 202
miper_ehance_all_eth78.59 18477.76 18381.08 21682.66 29161.56 25383.65 25389.15 18568.87 22575.55 21183.79 28066.49 10192.03 21673.25 15076.39 26689.64 214
miper_enhance_ethall77.87 20476.86 20280.92 21981.65 30561.38 25582.68 26788.98 19265.52 26275.47 21282.30 29865.76 11392.00 21872.95 15376.39 26689.39 219
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6585.24 5194.32 3571.76 5496.93 1885.53 2995.79 2594.32 35
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6194.05 1570.80 18187.59 3393.51 5677.57 1496.63 3183.31 5595.77 2694.72 20
cl____77.72 20676.76 20680.58 22582.49 29560.48 26683.09 26387.87 22069.22 21374.38 23885.22 26062.10 15691.53 23171.09 16575.41 28289.73 213
DIV-MVS_self_test77.72 20676.76 20680.58 22582.48 29660.48 26683.09 26387.86 22169.22 21374.38 23885.24 25962.10 15691.53 23171.09 16575.40 28389.74 212
eth_miper_zixun_eth77.92 20276.69 20981.61 20183.00 28261.98 24783.15 26289.20 18369.52 20774.86 23384.35 27161.76 15992.56 19571.50 16372.89 31090.28 184
9.1488.26 1592.84 6891.52 4594.75 173.93 13288.57 2494.67 1975.57 2395.79 5986.77 2395.76 28
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3193.49 3074.75 11388.33 2594.43 3273.27 4297.02 1684.18 4994.84 4893.82 59
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4694.70 374.47 11988.86 2294.61 2175.23 2495.84 5886.62 2695.92 2194.78 18
save fliter93.80 4472.35 4590.47 6691.17 12974.31 122
ET-MVSNet_ETH3D78.63 18276.63 21184.64 10386.73 22169.47 10585.01 22384.61 26469.54 20666.51 31586.59 22950.16 26991.75 22576.26 12284.24 17692.69 106
UniMVSNet_ETH3D79.10 17278.24 17081.70 19886.85 21760.24 26987.28 16488.79 19874.25 12576.84 18190.53 12249.48 27791.56 23067.98 19682.15 20293.29 83
EIA-MVS83.31 8682.80 8884.82 9889.59 12365.59 18188.21 13692.68 6674.66 11578.96 13786.42 23669.06 8195.26 8575.54 13190.09 10993.62 72
miper_refine_blended66.22 31263.89 31373.21 31375.47 35353.42 33670.76 34384.35 26764.10 27866.52 31378.52 33034.55 35284.98 31350.40 31750.33 36181.23 341
miper_lstm_enhance74.11 25273.11 25277.13 28480.11 32659.62 27372.23 33886.92 23966.76 24470.40 27382.92 28956.93 21182.92 32769.06 18772.63 31188.87 237
ETV-MVS84.90 7284.67 7385.59 7789.39 13268.66 12688.74 11592.64 7179.97 1784.10 7685.71 24869.32 7895.38 8080.82 8391.37 9392.72 103
CS-MVS84.53 7384.97 6883.23 15487.54 20463.27 22888.82 11093.50 2875.98 8783.07 8989.73 13970.29 6895.23 8682.07 7493.70 6991.18 151
D2MVS74.82 24673.21 25079.64 24679.81 33062.56 24080.34 29187.35 23164.37 27568.86 29182.66 29446.37 29890.10 26167.91 19781.24 21186.25 293
DVP-MVScopyleft89.60 390.35 387.33 4595.27 571.25 6393.49 992.73 6577.33 4992.12 995.78 480.98 997.40 789.08 796.41 1293.33 82
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_THIRD78.38 3392.12 995.78 481.46 797.40 789.42 496.57 794.67 21
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 39
test072695.27 571.25 6393.60 694.11 877.33 4992.81 395.79 380.98 9
SR-MVS86.73 3986.67 4086.91 5294.11 4072.11 5192.37 2692.56 7374.50 11786.84 3794.65 2067.31 9595.77 6084.80 3792.85 7492.84 102
DPM-MVS84.93 7084.29 7586.84 5390.20 10973.04 2487.12 16793.04 4369.80 20182.85 9391.22 10573.06 4496.02 5176.72 12194.63 5391.46 145
GST-MVS87.42 2887.26 2987.89 2494.12 3972.97 2592.39 2493.43 3376.89 6384.68 6293.99 5070.67 6496.82 2184.18 4995.01 4293.90 54
test_yl81.17 12080.47 12283.24 15289.13 14863.62 21686.21 19589.95 16072.43 15681.78 10789.61 14357.50 20493.58 15470.75 16786.90 14692.52 109
thisisatest053079.40 16477.76 18384.31 11687.69 19865.10 19287.36 16084.26 27170.04 19577.42 16988.26 18249.94 27294.79 10870.20 17384.70 17193.03 94
Anonymous2024052980.19 14778.89 15584.10 12290.60 10164.75 19688.95 10490.90 13565.97 25780.59 12191.17 10749.97 27193.73 15169.16 18682.70 19893.81 60
Anonymous20240521178.25 19077.01 19881.99 19391.03 9360.67 26384.77 22883.90 27570.65 18780.00 12891.20 10641.08 33191.43 23465.21 22185.26 16593.85 56
DCV-MVSNet81.17 12080.47 12283.24 15289.13 14863.62 21686.21 19589.95 16072.43 15681.78 10789.61 14357.50 20493.58 15470.75 16786.90 14692.52 109
tttt051779.40 16477.91 17683.90 13688.10 18363.84 21388.37 13084.05 27371.45 17276.78 18489.12 15849.93 27494.89 10370.18 17483.18 19092.96 99
our_test_369.14 29367.00 30375.57 29579.80 33158.80 27977.96 31477.81 33159.55 31862.90 33778.25 33447.43 29183.97 32051.71 31167.58 33383.93 323
thisisatest051577.33 21475.38 22783.18 15685.27 23963.80 21482.11 27383.27 28665.06 26675.91 20483.84 27849.54 27694.27 12067.24 20586.19 15791.48 144
ppachtmachnet_test70.04 28867.34 30178.14 26779.80 33161.13 25679.19 30380.59 31359.16 32265.27 32279.29 32446.75 29787.29 29849.33 32566.72 33486.00 302
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2293.63 2374.77 11292.29 795.97 274.28 3497.24 1188.58 1396.91 194.87 11
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
GSMVS88.96 234
DPE-MVScopyleft89.48 589.98 488.01 1494.80 1172.69 3291.59 4294.10 1075.90 8892.29 795.66 1081.67 697.38 987.44 2096.34 1593.95 51
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part295.06 872.65 3391.80 13
test_part182.78 9482.08 9884.89 9690.66 10066.97 15890.96 5592.93 5777.19 5480.53 12290.04 13163.44 13095.39 7976.04 12576.90 25692.31 118
thres100view90076.50 22675.55 22279.33 25089.52 12656.99 30385.83 20783.23 28773.94 13176.32 19587.12 21251.89 25191.95 21948.33 32983.75 18189.07 223
tfpnnormal74.39 24873.16 25178.08 26886.10 22758.05 28684.65 23387.53 22770.32 19171.22 26785.63 25154.97 21889.86 26343.03 35075.02 29086.32 292
tfpn200view976.42 22975.37 22879.55 24989.13 14857.65 29585.17 21883.60 27873.41 14476.45 19086.39 23752.12 24491.95 21948.33 32983.75 18189.07 223
c3_l78.75 17977.91 17681.26 21082.89 28661.56 25384.09 24889.13 18769.97 19775.56 21084.29 27266.36 10392.09 21573.47 14775.48 27990.12 190
CHOSEN 280x42066.51 30964.71 31071.90 31981.45 30963.52 22157.98 36168.95 36053.57 34762.59 33876.70 34146.22 30075.29 35755.25 29879.68 22776.88 354
CANet86.45 4486.10 5187.51 4090.09 11170.94 7489.70 8792.59 7281.78 481.32 11191.43 10170.34 6697.23 1284.26 4693.36 7094.37 32
Fast-Effi-MVS+-dtu78.02 19976.49 21282.62 18283.16 27866.96 15986.94 17287.45 23072.45 15371.49 26584.17 27354.79 22291.58 22967.61 19980.31 22389.30 221
Effi-MVS+-dtu80.03 14978.57 16084.42 11085.13 24368.74 12088.77 11288.10 21374.99 10674.97 23183.49 28457.27 20793.36 16673.53 14480.88 21491.18 151
CANet_DTU80.61 13679.87 13182.83 17285.60 23463.17 23387.36 16088.65 20576.37 7875.88 20688.44 17653.51 23393.07 18173.30 14989.74 11492.25 121
MVS_030472.48 26970.89 27277.24 28282.20 29959.68 27284.11 24783.49 28267.10 24166.87 30880.59 31435.00 35187.40 29759.07 27179.58 22884.63 316
MP-MVS-pluss87.67 2287.72 2287.54 3993.64 5072.04 5289.80 8393.50 2875.17 10386.34 4095.29 1270.86 6096.00 5388.78 1296.04 1694.58 24
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MSP-MVS89.51 489.91 588.30 994.28 3273.46 1892.90 1694.11 880.27 1291.35 1494.16 4178.35 1396.77 2389.59 394.22 6494.67 21
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
sam_mvs151.32 25788.96 234
sam_mvs50.01 270
IterMVS-SCA-FT75.43 24273.87 24580.11 23582.69 29064.85 19481.57 27983.47 28369.16 21670.49 27284.15 27451.95 24988.15 29069.23 18472.14 31587.34 271
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4792.35 8074.62 11688.90 2193.85 5275.75 2096.00 5387.80 1594.63 5395.04 3
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
xiu_mvs_v1_base_debu80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
OPM-MVS83.50 8182.95 8585.14 8588.79 16170.95 7389.13 10091.52 11677.55 4580.96 11891.75 9060.71 18094.50 11579.67 9386.51 15389.97 203
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5693.59 2576.27 8188.14 2695.09 1571.06 5996.67 2887.67 1696.37 1494.09 43
ambc75.24 29973.16 36150.51 35263.05 36087.47 22964.28 32877.81 33717.80 36789.73 26657.88 28360.64 34985.49 304
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7392.02 9479.45 1985.88 4294.80 1668.07 8696.21 4386.69 2495.34 3693.23 85
MTGPAbinary92.02 94
mvs-test180.88 12479.40 14285.29 8185.13 24369.75 9989.28 9288.10 21374.99 10676.44 19386.72 22057.27 20794.26 12473.53 14483.18 19091.87 132
CS-MVS-test85.02 6985.21 6484.46 10889.28 14165.70 17991.16 5293.56 2677.83 3881.80 10589.89 13470.67 6495.61 6380.39 8792.34 8392.06 128
Effi-MVS+83.62 8083.08 8285.24 8388.38 17667.45 14788.89 10689.15 18575.50 9582.27 9888.28 18069.61 7594.45 11677.81 10887.84 13293.84 58
xiu_mvs_v2_base81.69 11181.05 11283.60 13989.15 14768.03 13884.46 23890.02 15870.67 18581.30 11486.53 23463.17 13794.19 12675.60 13088.54 12688.57 247
xiu_mvs_v1_base80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
new-patchmatchnet61.73 32161.73 32361.70 34272.74 36324.50 37669.16 34978.03 33061.40 30456.72 35375.53 34738.42 33976.48 35245.95 34357.67 35284.13 321
pmmvs674.69 24773.39 24878.61 26081.38 31157.48 29886.64 18387.95 21864.99 26970.18 27686.61 22850.43 26789.52 26962.12 24570.18 32588.83 239
pmmvs571.55 27570.20 27875.61 29477.83 34256.39 31381.74 27680.89 30857.76 33167.46 30184.49 26949.26 28185.32 31257.08 29075.29 28785.11 311
test_post178.90 3075.43 37348.81 28785.44 31159.25 268
test_post5.46 37250.36 26884.24 318
Fast-Effi-MVS+80.81 12979.92 13083.47 14288.85 15564.51 19985.53 21589.39 17470.79 18278.49 14885.06 26467.54 9293.58 15467.03 20986.58 15192.32 117
patchmatchnet-post74.00 34951.12 25988.60 285
Anonymous2023121178.97 17677.69 18682.81 17490.54 10364.29 20690.11 7691.51 11765.01 26876.16 20288.13 18950.56 26593.03 18569.68 18177.56 24991.11 154
pmmvs-eth3d70.50 28467.83 29578.52 26377.37 34566.18 16881.82 27481.51 30558.90 32463.90 33280.42 31642.69 32186.28 30558.56 27665.30 34083.11 330
GG-mvs-BLEND75.38 29881.59 30755.80 32079.32 30069.63 35667.19 30473.67 35043.24 31788.90 28350.41 31684.50 17281.45 340
xiu_mvs_v1_base_debi80.80 13179.72 13584.03 12987.35 20570.19 9085.56 21088.77 19969.06 21981.83 10288.16 18450.91 26092.85 18878.29 10587.56 13689.06 225
Anonymous2023120668.60 29767.80 29671.02 32680.23 32550.75 35178.30 31280.47 31556.79 33866.11 31882.63 29546.35 29978.95 34143.62 34975.70 27483.36 327
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18592.02 9479.45 1985.88 4294.80 1668.07 8696.21 4386.69 2495.34 3693.23 85
MTMP92.18 3332.83 376
gm-plane-assit81.40 31053.83 33362.72 29580.94 31192.39 20163.40 233
test9_res84.90 3395.70 3192.87 101
MVP-Stereo76.12 23374.46 23981.13 21585.37 23869.79 9784.42 24187.95 21865.03 26767.46 30185.33 25753.28 23591.73 22758.01 28283.27 18881.85 338
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST993.26 5672.96 2688.75 11391.89 10368.44 23285.00 5493.10 6574.36 3395.41 77
train_agg86.43 4586.20 4887.13 4993.26 5672.96 2688.75 11391.89 10368.69 22885.00 5493.10 6574.43 3095.41 7784.97 3295.71 3093.02 95
gg-mvs-nofinetune69.95 28967.96 29275.94 29183.07 27954.51 32877.23 31970.29 35463.11 28770.32 27462.33 35743.62 31688.69 28453.88 30387.76 13384.62 317
SCA74.22 25172.33 25879.91 23884.05 25962.17 24579.96 29579.29 32666.30 25272.38 25680.13 31851.95 24988.60 28559.25 26877.67 24888.96 234
Patchmatch-test64.82 31763.24 31769.57 33079.42 33749.82 35463.49 35969.05 35951.98 35259.95 34580.13 31850.91 26070.98 36340.66 35573.57 30387.90 258
test_893.13 5872.57 3688.68 11891.84 10668.69 22884.87 6093.10 6574.43 3095.16 89
MS-PatchMatch73.83 25572.67 25477.30 28183.87 26266.02 17081.82 27484.66 26361.37 30668.61 29482.82 29247.29 29288.21 28959.27 26784.32 17577.68 352
Patchmatch-RL test70.24 28667.78 29777.61 27677.43 34459.57 27571.16 34070.33 35362.94 29168.65 29372.77 35150.62 26485.49 31069.58 18266.58 33687.77 261
cdsmvs_eth3d_5k19.96 33926.61 3410.00 3590.00 3820.00 3830.00 37089.26 1800.00 3770.00 37888.61 17061.62 1620.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas5.26 3457.02 3480.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37763.15 1380.00 3780.00 3760.00 3760.00 374
agg_prior186.22 4986.09 5286.62 5992.85 6671.94 5488.59 12091.78 10968.96 22384.41 6993.18 6474.94 2694.93 9884.75 3895.33 3893.01 96
agg_prior282.91 6395.45 3392.70 104
agg_prior92.85 6671.94 5491.78 10984.41 6994.93 98
tmp_tt18.61 34021.40 34310.23 3564.82 37910.11 37834.70 36630.74 3771.48 37323.91 36926.07 37028.42 35913.41 37527.12 36415.35 3727.17 370
canonicalmvs85.91 5385.87 5486.04 7289.84 12069.44 10890.45 6993.00 4776.70 7188.01 2991.23 10473.28 4193.91 14081.50 7788.80 12294.77 19
anonymousdsp78.60 18377.15 19682.98 16780.51 32367.08 15487.24 16589.53 17165.66 26075.16 22587.19 21052.52 23792.25 20977.17 11579.34 23489.61 215
alignmvs85.48 5985.32 6185.96 7489.51 12769.47 10589.74 8592.47 7476.17 8287.73 3291.46 10070.32 6793.78 14581.51 7688.95 11994.63 23
nrg03083.88 7583.53 7784.96 9186.77 22069.28 10990.46 6892.67 6774.79 11182.95 9091.33 10372.70 4693.09 18080.79 8579.28 23692.50 111
v14419279.47 16078.37 16682.78 17883.35 27063.96 21186.96 17190.36 14969.99 19677.50 16785.67 25060.66 18293.77 14774.27 13876.58 26290.62 170
FIs82.07 10382.42 9081.04 21788.80 16058.34 28388.26 13593.49 3076.93 6278.47 14991.04 11169.92 7292.34 20569.87 17984.97 16792.44 115
v192192079.22 16878.03 17382.80 17583.30 27263.94 21286.80 17790.33 15069.91 19977.48 16885.53 25358.44 19693.75 14973.60 14376.85 25990.71 168
UA-Net85.08 6884.96 6985.45 7892.07 8168.07 13789.78 8490.86 13782.48 284.60 6793.20 6369.35 7795.22 8771.39 16490.88 9993.07 92
v119279.59 15778.43 16483.07 16283.55 26764.52 19886.93 17390.58 14170.83 18077.78 16385.90 24459.15 19293.94 13673.96 14177.19 25390.76 165
FC-MVSNet-test81.52 11582.02 10080.03 23688.42 17555.97 31987.95 14493.42 3477.10 5877.38 17090.98 11669.96 7191.79 22468.46 19484.50 17292.33 116
v114480.03 14979.03 15283.01 16583.78 26364.51 19987.11 16890.57 14271.96 16378.08 15986.20 24161.41 16793.94 13674.93 13477.23 25190.60 172
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
HFP-MVS87.58 2387.47 2587.94 1794.58 1673.54 1593.04 1293.24 3776.78 6784.91 5694.44 3070.78 6196.61 3284.53 4194.89 4693.66 65
v14878.72 18077.80 18081.47 20382.73 28961.96 24886.30 19388.08 21573.26 14676.18 19985.47 25562.46 14992.36 20371.92 16073.82 30290.09 193
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
AllTest70.96 27968.09 29179.58 24785.15 24163.62 21684.58 23579.83 32262.31 29860.32 34386.73 21832.02 35588.96 28150.28 31971.57 31986.15 296
TestCases79.58 24785.15 24163.62 21679.83 32262.31 29860.32 34386.73 21832.02 35588.96 28150.28 31971.57 31986.15 296
v7n78.97 17677.58 18983.14 15883.45 26965.51 18288.32 13191.21 12773.69 13672.41 25586.32 23957.93 19893.81 14469.18 18575.65 27590.11 191
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7084.45 6894.52 2369.09 8096.70 2684.37 4494.83 5094.03 46
bset_n11_16_dypcd77.12 21775.47 22382.06 19081.12 31665.99 17181.37 28283.20 28969.94 19876.09 20383.38 28647.75 29092.26 20878.51 9977.91 24587.95 255
RRT_MVS79.88 15278.38 16584.38 11185.42 23770.60 8488.71 11788.75 20372.30 15878.83 14189.14 15644.44 31292.18 21278.50 10079.33 23590.35 181
PS-MVSNAJss82.07 10381.31 10784.34 11586.51 22367.27 15289.27 9391.51 11771.75 16579.37 13390.22 12763.15 13894.27 12077.69 10982.36 20191.49 143
PS-MVSNAJ81.69 11181.02 11383.70 13889.51 12768.21 13584.28 24490.09 15770.79 18281.26 11585.62 25263.15 13894.29 11875.62 12988.87 12188.59 246
jajsoiax79.29 16777.96 17483.27 15084.68 24966.57 16389.25 9490.16 15569.20 21575.46 21489.49 14745.75 30693.13 17876.84 11980.80 21690.11 191
mvs_tets79.13 17177.77 18283.22 15584.70 24866.37 16589.17 9590.19 15469.38 20975.40 21789.46 15044.17 31493.15 17676.78 12080.70 21890.14 188
#test#87.33 3187.13 3387.94 1794.58 1673.54 1592.34 2793.24 3775.23 10084.91 5694.44 3070.78 6196.61 3283.75 5494.89 4693.66 65
EI-MVSNet-UG-set83.81 7683.38 7985.09 8787.87 18967.53 14687.44 15989.66 16979.74 1882.23 9989.41 15470.24 6994.74 10979.95 9183.92 17892.99 98
EI-MVSNet-Vis-set84.19 7483.81 7685.31 8088.18 18067.85 14087.66 15389.73 16780.05 1682.95 9089.59 14570.74 6394.82 10680.66 8684.72 17093.28 84
Regformer-385.23 6485.07 6685.70 7688.95 15369.01 11288.29 13389.91 16280.95 885.01 5390.01 13272.45 4894.19 12682.50 7187.57 13493.90 54
Regformer-485.68 5885.45 5886.35 6288.95 15369.67 10088.29 13391.29 12481.73 585.36 4990.01 13272.62 4795.35 8483.28 5887.57 13494.03 46
Regformer-186.41 4786.33 4486.64 5889.33 13470.93 7588.43 12391.39 12282.14 386.65 3890.09 12974.39 3295.01 9783.97 5190.63 10193.97 50
Regformer-286.63 4386.53 4286.95 5189.33 13471.24 6788.43 12392.05 9382.50 186.88 3690.09 12974.45 2995.61 6384.38 4390.63 10194.01 48
HPM-MVS++copyleft89.02 889.15 888.63 495.01 976.03 192.38 2592.85 6080.26 1387.78 3094.27 3675.89 1996.81 2287.45 1996.44 993.05 93
test_prior472.60 3589.01 102
XVS87.18 3486.91 3788.00 1594.42 2273.33 2092.78 1792.99 4979.14 2283.67 8394.17 4067.45 9396.60 3483.06 6094.50 5694.07 44
v124078.99 17577.78 18182.64 18183.21 27463.54 22086.62 18490.30 15269.74 20577.33 17185.68 24957.04 21093.76 14873.13 15276.92 25590.62 170
test_prior386.73 3986.86 3986.33 6392.61 7469.59 10188.85 10892.97 5475.41 9684.91 5693.54 5474.28 3495.48 7183.31 5595.86 2293.91 52
pm-mvs177.25 21676.68 21078.93 25684.22 25558.62 28186.41 18988.36 21071.37 17373.31 24488.01 19061.22 17389.15 27664.24 22873.01 30989.03 229
test_prior288.85 10875.41 9684.91 5693.54 5474.28 3483.31 5595.86 22
X-MVStestdata80.37 14377.83 17988.00 1594.42 2273.33 2092.78 1792.99 4979.14 2283.67 8312.47 37167.45 9396.60 3483.06 6094.50 5694.07 44
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7193.91 52
旧先验286.56 18658.10 32987.04 3588.98 27974.07 140
新几何286.29 194
新几何183.42 14493.13 5870.71 8085.48 25557.43 33481.80 10591.98 8563.28 13392.27 20764.60 22792.99 7187.27 273
旧先验191.96 8265.79 17786.37 24693.08 6969.31 7992.74 7588.74 243
无先验87.48 15788.98 19260.00 31494.12 12967.28 20388.97 233
原ACMM286.86 175
原ACMM184.35 11493.01 6468.79 11692.44 7563.96 28381.09 11691.57 9666.06 10895.45 7367.19 20694.82 5188.81 240
test22291.50 8868.26 13384.16 24583.20 28954.63 34679.74 12991.63 9458.97 19391.42 9286.77 286
testdata291.01 24862.37 242
segment_acmp73.08 43
testdata79.97 23790.90 9664.21 20784.71 26259.27 32185.40 4892.91 7062.02 15889.08 27768.95 18891.37 9386.63 290
testdata184.14 24675.71 90
v879.97 15179.02 15382.80 17584.09 25764.50 20187.96 14390.29 15374.13 12975.24 22486.81 21762.88 14393.89 14274.39 13775.40 28390.00 199
131476.53 22575.30 23080.21 23383.93 26162.32 24384.66 23088.81 19760.23 31270.16 27884.07 27555.30 21790.73 25367.37 20283.21 18987.59 266
112180.84 12679.77 13384.05 12693.11 6070.78 7984.66 23085.42 25657.37 33581.76 10992.02 8463.41 13194.12 12967.28 20392.93 7287.26 274
LFMVS81.82 10881.23 10983.57 14191.89 8463.43 22589.84 8081.85 30377.04 6083.21 8693.10 6552.26 24293.43 16571.98 15989.95 11293.85 56
VDD-MVS83.01 9282.36 9384.96 9191.02 9466.40 16488.91 10588.11 21277.57 4284.39 7193.29 6252.19 24393.91 14077.05 11688.70 12494.57 26
VDDNet81.52 11580.67 11884.05 12690.44 10564.13 20989.73 8685.91 25271.11 17683.18 8793.48 5750.54 26693.49 16073.40 14888.25 13094.54 27
v1079.74 15478.67 15782.97 16884.06 25864.95 19387.88 14990.62 14073.11 14775.11 22786.56 23261.46 16694.05 13273.68 14275.55 27789.90 205
VPNet78.69 18178.66 15878.76 25888.31 17855.72 32184.45 23986.63 24276.79 6678.26 15390.55 12159.30 19189.70 26766.63 21077.05 25490.88 162
MVS78.19 19476.99 20081.78 19685.66 23266.99 15584.66 23090.47 14455.08 34572.02 26085.27 25863.83 12894.11 13166.10 21489.80 11384.24 319
v2v48280.23 14579.29 14683.05 16383.62 26564.14 20887.04 16989.97 15973.61 13778.18 15687.22 20861.10 17593.82 14376.11 12376.78 26191.18 151
V4279.38 16678.24 17082.83 17281.10 31765.50 18385.55 21389.82 16371.57 17078.21 15486.12 24260.66 18293.18 17575.64 12875.46 28189.81 210
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4093.19 4077.87 3690.32 1794.00 4874.83 2793.78 14587.63 1794.27 6393.65 70
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
GA-MVS76.87 22275.17 23181.97 19482.75 28862.58 23981.44 28186.35 24772.16 16174.74 23482.89 29046.20 30192.02 21768.85 19081.09 21291.30 149
MSLP-MVS++85.43 6185.76 5584.45 10991.93 8370.24 8790.71 5992.86 5977.46 4884.22 7392.81 7567.16 9792.94 18680.36 8894.35 6190.16 187
APDe-MVS89.15 689.63 687.73 3094.49 2071.69 5893.83 493.96 1675.70 9291.06 1696.03 176.84 1597.03 1589.09 695.65 3294.47 28
APD-MVS_3200maxsize85.97 5285.88 5386.22 6792.69 7269.53 10391.93 3692.99 4973.54 14085.94 4194.51 2665.80 11295.61 6383.04 6292.51 7993.53 77
ADS-MVSNet266.20 31463.33 31674.82 30379.92 32858.75 28067.55 35375.19 34353.37 34865.25 32375.86 34442.32 32380.53 33741.57 35368.91 32985.18 308
EI-MVSNet80.52 14079.98 12982.12 18884.28 25363.19 23286.41 18988.95 19574.18 12778.69 14287.54 19966.62 9992.43 19972.57 15780.57 22090.74 167
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
CVMVSNet72.99 26672.58 25574.25 30884.28 25350.85 35086.41 18983.45 28444.56 35673.23 24687.54 19949.38 27885.70 30865.90 21678.44 24186.19 295
pmmvs474.03 25471.91 26080.39 22881.96 30268.32 13181.45 28082.14 29959.32 32069.87 28485.13 26252.40 24088.13 29160.21 26174.74 29384.73 315
EU-MVSNet68.53 29967.61 29971.31 32578.51 34147.01 35984.47 23684.27 27042.27 35766.44 31684.79 26740.44 33383.76 32158.76 27568.54 33283.17 328
VNet82.21 10082.41 9181.62 19990.82 9860.93 25884.47 23689.78 16476.36 7984.07 7791.88 8864.71 12290.26 25770.68 16988.89 12093.66 65
test-LLR72.94 26772.43 25674.48 30581.35 31258.04 28778.38 30977.46 33366.66 24669.95 28279.00 32748.06 28879.24 33966.13 21284.83 16886.15 296
TESTMET0.1,169.89 29069.00 28372.55 31779.27 33956.85 30478.38 30974.71 34757.64 33268.09 29677.19 34037.75 34376.70 35063.92 22984.09 17784.10 322
test-mter71.41 27670.39 27774.48 30581.35 31258.04 28778.38 30977.46 33360.32 31169.95 28279.00 32736.08 34879.24 33966.13 21284.83 16886.15 296
VPA-MVSNet80.60 13780.55 12080.76 22288.07 18460.80 26186.86 17591.58 11575.67 9380.24 12589.45 15263.34 13290.25 25870.51 17179.22 23791.23 150
ACMMPR87.44 2687.23 3188.08 1394.64 1373.59 1293.04 1293.20 3976.78 6784.66 6594.52 2368.81 8496.65 2984.53 4194.90 4594.00 49
testgi66.67 30866.53 30667.08 33975.62 35141.69 36675.93 32376.50 34066.11 25365.20 32586.59 22935.72 34974.71 35843.71 34873.38 30784.84 313
test20.0367.45 30366.95 30468.94 33275.48 35244.84 36277.50 31777.67 33266.66 24663.01 33583.80 27947.02 29478.40 34342.53 35268.86 33183.58 325
thres600view776.50 22675.44 22479.68 24489.40 13157.16 30085.53 21583.23 28773.79 13576.26 19687.09 21351.89 25191.89 22248.05 33483.72 18490.00 199
ADS-MVSNet64.36 31862.88 32068.78 33579.92 32847.17 35867.55 35371.18 35253.37 34865.25 32375.86 34442.32 32373.99 36141.57 35368.91 32985.18 308
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2192.65 7077.57 4283.84 8094.40 3472.24 5096.28 4185.65 2895.30 4093.62 72
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs6.04 3448.02 3470.10 3580.08 3800.03 38269.74 3450.04 3810.05 3750.31 3761.68 3750.02 3810.04 3760.24 3740.02 3740.25 373
thres40076.50 22675.37 22879.86 23989.13 14857.65 29585.17 21883.60 27873.41 14476.45 19086.39 23752.12 24491.95 21948.33 32983.75 18190.00 199
test1236.12 3438.11 3460.14 3570.06 3810.09 38171.05 3410.03 3820.04 3760.25 3771.30 3760.05 3800.03 3770.21 3750.01 3750.29 372
thres20075.55 24074.47 23878.82 25787.78 19557.85 29283.07 26583.51 28172.44 15575.84 20784.42 27052.08 24691.75 22547.41 33683.64 18586.86 284
test0.0.03 168.00 30167.69 29868.90 33377.55 34347.43 35775.70 32772.95 35166.66 24666.56 31182.29 29948.06 28875.87 35444.97 34774.51 29583.41 326
pmmvs357.79 32454.26 32868.37 33664.02 36856.72 30775.12 33165.17 36440.20 35952.93 35869.86 35520.36 36575.48 35645.45 34555.25 35672.90 356
EMVS30.81 33729.65 33934.27 35350.96 37325.95 37556.58 36346.80 37424.01 36815.53 37330.68 36912.47 37154.43 37012.81 37217.05 37022.43 369
E-PMN31.77 33530.64 33835.15 35252.87 37227.67 37357.09 36247.86 37324.64 36716.40 37233.05 36811.23 37254.90 36914.46 37118.15 36922.87 368
PGM-MVS86.68 4186.27 4687.90 2194.22 3573.38 1990.22 7493.04 4375.53 9483.86 7994.42 3367.87 9096.64 3082.70 6994.57 5593.66 65
LCM-MVSNet-Re77.05 21876.94 20177.36 27987.20 21251.60 34580.06 29380.46 31675.20 10267.69 29986.72 22062.48 14888.98 27963.44 23289.25 11891.51 141
LCM-MVSNet54.25 32649.68 33267.97 33753.73 37145.28 36166.85 35580.78 31035.96 36339.45 36362.23 3598.70 37578.06 34648.24 33251.20 36080.57 345
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8193.82 1973.07 14884.86 6192.89 7176.22 1796.33 3984.89 3595.13 4194.40 31
mvs_anonymous79.42 16379.11 15180.34 23084.45 25257.97 28982.59 26887.62 22567.40 24076.17 20188.56 17368.47 8589.59 26870.65 17086.05 15993.47 78
MVS_Test83.15 8783.06 8383.41 14686.86 21663.21 23086.11 19892.00 9774.31 12282.87 9289.44 15370.03 7093.21 17077.39 11388.50 12893.81 60
MDA-MVSNet-bldmvs66.68 30763.66 31575.75 29279.28 33860.56 26573.92 33578.35 32964.43 27350.13 36079.87 32244.02 31583.67 32246.10 34256.86 35383.03 332
CDPH-MVS85.76 5685.29 6387.17 4893.49 5371.08 6888.58 12192.42 7868.32 23384.61 6693.48 5772.32 4996.15 4879.00 9495.43 3494.28 37
test1286.80 5592.63 7370.70 8191.79 10882.71 9671.67 5596.16 4794.50 5693.54 76
casdiffmvs85.11 6785.14 6585.01 8987.20 21265.77 17887.75 15192.83 6177.84 3784.36 7292.38 8072.15 5193.93 13981.27 7990.48 10395.33 1
diffmvs82.10 10181.88 10382.76 18083.00 28263.78 21583.68 25289.76 16572.94 15182.02 10189.85 13665.96 11190.79 25182.38 7387.30 14193.71 64
baseline275.70 23873.83 24681.30 20983.26 27361.79 25182.57 26980.65 31266.81 24266.88 30783.42 28557.86 20092.19 21163.47 23179.57 22989.91 204
baseline176.98 22076.75 20877.66 27488.13 18155.66 32285.12 22181.89 30173.04 14976.79 18388.90 16262.43 15087.78 29563.30 23471.18 32189.55 217
YYNet165.03 31562.91 31971.38 32175.85 34956.60 31069.12 35074.66 34857.28 33654.12 35677.87 33645.85 30374.48 35949.95 32261.52 34883.05 331
PMMVS240.82 33438.86 33746.69 34953.84 37016.45 37748.61 36449.92 37237.49 36231.67 36460.97 3608.14 37656.42 36828.42 36330.72 36667.19 358
MDA-MVSNet_test_wron65.03 31562.92 31871.37 32275.93 34856.73 30669.09 35174.73 34657.28 33654.03 35777.89 33545.88 30274.39 36049.89 32361.55 34782.99 333
tpmvs71.09 27869.29 28176.49 28882.04 30156.04 31878.92 30681.37 30764.05 28067.18 30578.28 33349.74 27589.77 26449.67 32472.37 31283.67 324
PM-MVS66.41 31064.14 31273.20 31573.92 35756.45 31178.97 30564.96 36663.88 28464.72 32680.24 31719.84 36683.44 32466.24 21164.52 34279.71 348
HQP_MVS83.64 7983.14 8185.14 8590.08 11268.71 12291.25 4992.44 7579.12 2478.92 13991.00 11460.42 18695.38 8078.71 9786.32 15591.33 147
plane_prior790.08 11268.51 129
plane_prior689.84 12068.70 12460.42 186
plane_prior592.44 7595.38 8078.71 9786.32 15591.33 147
plane_prior491.00 114
plane_prior368.60 12778.44 3178.92 139
plane_prior291.25 4979.12 24
plane_prior189.90 119
plane_prior68.71 12290.38 7077.62 4086.16 158
PS-CasMVS78.01 20078.09 17277.77 27387.71 19654.39 32988.02 14191.22 12677.50 4773.26 24588.64 16960.73 17988.41 28861.88 24773.88 30190.53 175
UniMVSNet_NR-MVSNet81.88 10681.54 10682.92 16988.46 17363.46 22387.13 16692.37 7980.19 1478.38 15089.14 15671.66 5693.05 18270.05 17576.46 26492.25 121
PEN-MVS77.73 20577.69 18677.84 27187.07 21553.91 33287.91 14791.18 12877.56 4473.14 24788.82 16561.23 17289.17 27559.95 26272.37 31290.43 178
TransMVSNet (Re)75.39 24474.56 23677.86 27085.50 23657.10 30286.78 17986.09 25172.17 16071.53 26487.34 20363.01 14289.31 27356.84 29261.83 34687.17 276
DTE-MVSNet76.99 21976.80 20477.54 27886.24 22553.06 34087.52 15690.66 13977.08 5972.50 25388.67 16860.48 18589.52 26957.33 28870.74 32390.05 198
DU-MVS81.12 12280.52 12182.90 17087.80 19263.46 22387.02 17091.87 10579.01 2778.38 15089.07 15965.02 11893.05 18270.05 17576.46 26492.20 123
UniMVSNet (Re)81.60 11481.11 11183.09 16088.38 17664.41 20487.60 15493.02 4678.42 3278.56 14688.16 18469.78 7393.26 16969.58 18276.49 26391.60 138
CP-MVSNet78.22 19178.34 16777.84 27187.83 19154.54 32787.94 14591.17 12977.65 3973.48 24388.49 17462.24 15488.43 28762.19 24374.07 29790.55 174
WR-MVS_H78.51 18578.49 16178.56 26188.02 18656.38 31488.43 12392.67 6777.14 5673.89 24187.55 19866.25 10589.24 27458.92 27273.55 30490.06 197
WR-MVS79.49 15979.22 14980.27 23288.79 16158.35 28285.06 22288.61 20778.56 3077.65 16588.34 17863.81 12990.66 25464.98 22477.22 25291.80 136
NR-MVSNet80.23 14579.38 14382.78 17887.80 19263.34 22686.31 19291.09 13279.01 2772.17 25889.07 15967.20 9692.81 19166.08 21575.65 27592.20 123
Baseline_NR-MVSNet78.15 19578.33 16877.61 27685.79 23056.21 31786.78 17985.76 25373.60 13877.93 16187.57 19765.02 11888.99 27867.14 20775.33 28587.63 263
TranMVSNet+NR-MVSNet80.84 12680.31 12582.42 18587.85 19062.33 24287.74 15291.33 12380.55 1177.99 16089.86 13565.23 11692.62 19267.05 20875.24 28992.30 119
TSAR-MVS + GP.85.71 5785.33 6086.84 5391.34 8972.50 3789.07 10187.28 23276.41 7485.80 4490.22 12774.15 3795.37 8381.82 7591.88 8592.65 108
abl_685.23 6484.95 7086.07 7192.23 7970.48 8690.80 5892.08 9273.51 14385.26 5094.16 4162.75 14495.92 5782.46 7291.30 9591.81 135
n20.00 383
nn0.00 383
mPP-MVS86.67 4286.32 4587.72 3294.41 2473.55 1392.74 1992.22 8776.87 6482.81 9594.25 3866.44 10296.24 4282.88 6494.28 6293.38 79
door-mid69.98 355
XVG-OURS-SEG-HR80.81 12979.76 13483.96 13485.60 23468.78 11783.54 25890.50 14370.66 18676.71 18691.66 9160.69 18191.26 23876.94 11881.58 20891.83 133
DWT-MVSNet_test73.70 25671.86 26179.21 25382.91 28558.94 27782.34 27082.17 29865.21 26371.05 26978.31 33244.21 31390.17 26063.29 23577.28 25088.53 248
MVSFormer82.85 9382.05 9985.24 8387.35 20570.21 8890.50 6490.38 14668.55 23081.32 11189.47 14861.68 16093.46 16378.98 9590.26 10692.05 129
jason81.39 11880.29 12684.70 10286.63 22269.90 9585.95 20186.77 24063.24 28581.07 11789.47 14861.08 17692.15 21378.33 10490.07 11192.05 129
jason: jason.
lupinMVS81.39 11880.27 12784.76 10187.35 20570.21 8885.55 21386.41 24462.85 29281.32 11188.61 17061.68 16092.24 21078.41 10390.26 10691.83 133
test_djsdf80.30 14479.32 14583.27 15083.98 26065.37 18790.50 6490.38 14668.55 23076.19 19888.70 16656.44 21393.46 16378.98 9580.14 22690.97 160
HPM-MVS_fast85.35 6384.95 7086.57 6193.69 4870.58 8592.15 3491.62 11373.89 13382.67 9794.09 4462.60 14595.54 6980.93 8192.93 7293.57 74
RRT_test8_iter0578.38 18877.40 19181.34 20886.00 22858.86 27886.55 18791.26 12572.13 16275.91 20487.42 20244.97 30993.73 15177.02 11775.30 28691.45 146
K. test v371.19 27768.51 28579.21 25383.04 28157.78 29484.35 24376.91 33972.90 15262.99 33682.86 29139.27 33691.09 24661.65 25052.66 35888.75 242
lessismore_v078.97 25581.01 31857.15 30165.99 36361.16 34182.82 29239.12 33791.34 23759.67 26446.92 36388.43 250
SixPastTwentyTwo73.37 25971.26 26979.70 24385.08 24557.89 29185.57 20983.56 28071.03 17865.66 31985.88 24542.10 32692.57 19459.11 27063.34 34488.65 245
OurMVSNet-221017-074.26 25072.42 25779.80 24183.76 26459.59 27485.92 20386.64 24166.39 25166.96 30687.58 19639.46 33591.60 22865.76 21869.27 32788.22 252
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3293.33 3676.07 8483.81 8193.95 5169.77 7496.01 5285.15 3194.66 5294.32 35
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
XVG-OURS80.41 14179.23 14883.97 13385.64 23369.02 11183.03 26690.39 14571.09 17777.63 16691.49 9954.62 22591.35 23675.71 12783.47 18691.54 140
XVG-ACMP-BASELINE76.11 23474.27 24181.62 19983.20 27564.67 19783.60 25689.75 16669.75 20371.85 26187.09 21332.78 35492.11 21469.99 17780.43 22288.09 254
LPG-MVS_test82.08 10281.27 10884.50 10689.23 14468.76 11890.22 7491.94 10175.37 9876.64 18891.51 9754.29 22694.91 10078.44 10183.78 17989.83 208
LGP-MVS_train84.50 10689.23 14468.76 11891.94 10175.37 9876.64 18891.51 9754.29 22694.91 10078.44 10183.78 17989.83 208
baseline84.93 7084.98 6784.80 10087.30 21065.39 18687.30 16392.88 5877.62 4084.04 7892.26 8171.81 5393.96 13381.31 7890.30 10595.03 4
test1192.23 86
door69.44 358
EPNet_dtu75.46 24174.86 23277.23 28382.57 29354.60 32686.89 17483.09 29171.64 16666.25 31785.86 24655.99 21488.04 29254.92 29986.55 15289.05 228
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x268877.63 20975.69 21983.44 14389.98 11768.58 12878.70 30887.50 22856.38 34075.80 20886.84 21658.67 19491.40 23561.58 25185.75 16490.34 182
EPNet83.72 7882.92 8686.14 6984.22 25569.48 10491.05 5485.27 25781.30 776.83 18291.65 9266.09 10795.56 6676.00 12693.85 6693.38 79
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS66.98 156
HQP-NCC89.33 13489.17 9576.41 7477.23 175
ACMP_Plane89.33 13489.17 9576.41 7477.23 175
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 3992.83 6173.01 15088.58 2394.52 2373.36 4096.49 3784.26 4695.01 4292.70 104
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS77.47 111
HQP4-MVS77.24 17495.11 9191.03 157
HQP3-MVS92.19 8985.99 161
HQP2-MVS60.17 189
CNVR-MVS88.93 989.13 988.33 794.77 1273.82 990.51 6393.00 4780.90 988.06 2894.06 4676.43 1696.84 2088.48 1495.99 1994.34 34
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5192.83 6181.50 685.79 4593.47 5973.02 4597.00 1784.90 3394.94 4494.10 42
114514_t80.68 13579.51 13984.20 11994.09 4167.27 15289.64 8891.11 13158.75 32674.08 24090.72 11858.10 19795.04 9669.70 18089.42 11790.30 183
CP-MVS87.11 3586.92 3687.68 3794.20 3673.86 893.98 392.82 6476.62 7283.68 8294.46 2767.93 8895.95 5684.20 4894.39 5993.23 85
DSMNet-mixed57.77 32556.90 32760.38 34367.70 36635.61 36969.18 34853.97 37132.30 36657.49 35179.88 32140.39 33468.57 36538.78 35772.37 31276.97 353
tpm273.26 26271.46 26478.63 25983.34 27156.71 30880.65 28780.40 31756.63 33973.55 24282.02 30351.80 25391.24 23956.35 29578.42 24287.95 255
NP-MVS89.62 12268.32 13190.24 125
EG-PatchMatch MVS74.04 25371.82 26280.71 22384.92 24667.42 14885.86 20588.08 21566.04 25564.22 32983.85 27735.10 35092.56 19557.44 28680.83 21582.16 337
tpm cat170.57 28268.31 28777.35 28082.41 29757.95 29078.08 31380.22 32052.04 35168.54 29577.66 33852.00 24887.84 29451.77 31072.07 31686.25 293
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2280.19 1488.10 2794.80 1673.76 3997.11 1387.51 1895.82 2494.90 8
Skip Steuart: Steuart Systems R&D Blog.
CostFormer75.24 24573.90 24479.27 25182.65 29258.27 28480.80 28382.73 29561.57 30375.33 22283.13 28855.52 21591.07 24764.98 22478.34 24388.45 249
CR-MVSNet73.37 25971.27 26879.67 24581.32 31465.19 18975.92 32480.30 31859.92 31572.73 25181.19 30652.50 23886.69 30159.84 26377.71 24687.11 280
JIA-IIPM66.32 31162.82 32176.82 28677.09 34661.72 25265.34 35675.38 34258.04 33064.51 32762.32 35842.05 32786.51 30351.45 31369.22 32882.21 336
Patchmtry70.74 28069.16 28275.49 29780.72 31954.07 33174.94 33380.30 31858.34 32770.01 27981.19 30652.50 23886.54 30253.37 30571.09 32285.87 303
PatchT68.46 30067.85 29470.29 32880.70 32043.93 36372.47 33774.88 34460.15 31370.55 27076.57 34249.94 27281.59 33150.58 31574.83 29285.34 306
tpmrst72.39 27072.13 25973.18 31680.54 32249.91 35379.91 29679.08 32763.11 28771.69 26379.95 32055.32 21682.77 32865.66 21973.89 30086.87 283
BH-w/o78.21 19277.33 19480.84 22088.81 15965.13 19184.87 22687.85 22269.75 20374.52 23684.74 26861.34 16993.11 17958.24 28085.84 16384.27 318
tpm72.37 27271.71 26374.35 30782.19 30052.00 34279.22 30277.29 33664.56 27272.95 24983.68 28351.35 25683.26 32658.33 27975.80 27387.81 260
DELS-MVS85.41 6285.30 6285.77 7588.49 17167.93 13985.52 21793.44 3278.70 2983.63 8589.03 16174.57 2895.71 6280.26 9094.04 6593.66 65
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
BH-untuned79.47 16078.60 15982.05 19189.19 14665.91 17486.07 19988.52 20872.18 15975.42 21687.69 19461.15 17493.54 15860.38 25986.83 14886.70 288
RPMNet73.51 25870.49 27482.58 18381.32 31465.19 18975.92 32492.27 8357.60 33372.73 25176.45 34352.30 24195.43 7548.14 33377.71 24687.11 280
MVSTER79.01 17477.88 17882.38 18683.07 27964.80 19584.08 24988.95 19569.01 22278.69 14287.17 21154.70 22392.43 19974.69 13580.57 22089.89 206
CPTT-MVS83.73 7783.33 8084.92 9493.28 5570.86 7792.09 3590.38 14668.75 22779.57 13192.83 7360.60 18493.04 18480.92 8291.56 9190.86 163
GBi-Net78.40 18677.40 19181.40 20587.60 19963.01 23488.39 12789.28 17771.63 16775.34 21987.28 20454.80 21991.11 24162.72 23779.57 22990.09 193
PVSNet_Blended_VisFu82.62 9681.83 10484.96 9190.80 9969.76 9888.74 11591.70 11269.39 20878.96 13788.46 17565.47 11494.87 10574.42 13688.57 12590.24 185
PVSNet_BlendedMVS80.60 13780.02 12882.36 18788.85 15565.40 18486.16 19792.00 9769.34 21078.11 15786.09 24366.02 10994.27 12071.52 16182.06 20387.39 269
UnsupCasMVSNet_eth67.33 30465.99 30771.37 32273.48 35951.47 34775.16 32985.19 25865.20 26460.78 34280.93 31342.35 32277.20 34957.12 28953.69 35785.44 305
UnsupCasMVSNet_bld63.70 32061.53 32470.21 32973.69 35851.39 34872.82 33681.89 30155.63 34357.81 35071.80 35338.67 33878.61 34249.26 32652.21 35980.63 344
PVSNet_Blended80.98 12380.34 12482.90 17088.85 15565.40 18484.43 24092.00 9767.62 23778.11 15785.05 26566.02 10994.27 12071.52 16189.50 11589.01 230
FMVSNet569.50 29167.96 29274.15 30982.97 28455.35 32380.01 29482.12 30062.56 29663.02 33481.53 30536.92 34581.92 33048.42 32874.06 29885.17 310
test178.40 18677.40 19181.40 20587.60 19963.01 23488.39 12789.28 17771.63 16775.34 21987.28 20454.80 21991.11 24162.72 23779.57 22990.09 193
new_pmnet50.91 33050.29 33152.78 34768.58 36534.94 37163.71 35856.63 37039.73 36044.95 36165.47 35621.93 36458.48 36734.98 36056.62 35464.92 359
FMVSNet377.88 20376.85 20380.97 21886.84 21862.36 24186.52 18888.77 19971.13 17575.34 21986.66 22754.07 22991.10 24462.72 23779.57 22989.45 218
dp66.80 30665.43 30870.90 32779.74 33348.82 35675.12 33174.77 34559.61 31764.08 33077.23 33942.89 31980.72 33648.86 32766.58 33683.16 329
FMVSNet278.20 19377.21 19581.20 21287.60 19962.89 23887.47 15889.02 19071.63 16775.29 22387.28 20454.80 21991.10 24462.38 24179.38 23389.61 215
FMVSNet177.44 21176.12 21881.40 20586.81 21963.01 23488.39 12789.28 17770.49 18974.39 23787.28 20449.06 28391.11 24160.91 25678.52 23990.09 193
N_pmnet52.79 32853.26 32951.40 34878.99 3407.68 37969.52 3463.89 37951.63 35357.01 35274.98 34840.83 33265.96 36637.78 35864.67 34180.56 346
cascas76.72 22474.64 23482.99 16685.78 23165.88 17582.33 27189.21 18260.85 30872.74 25081.02 30947.28 29393.75 14967.48 20185.02 16689.34 220
BH-RMVSNet79.61 15578.44 16383.14 15889.38 13365.93 17384.95 22587.15 23573.56 13978.19 15589.79 13756.67 21293.36 16659.53 26686.74 14990.13 189
UGNet80.83 12879.59 13884.54 10588.04 18568.09 13689.42 9088.16 21176.95 6176.22 19789.46 15049.30 28093.94 13668.48 19390.31 10491.60 138
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
WTY-MVS75.65 23975.68 22075.57 29586.40 22456.82 30577.92 31682.40 29765.10 26576.18 19987.72 19263.13 14180.90 33560.31 26081.96 20489.00 232
XXY-MVS75.41 24375.56 22174.96 30183.59 26657.82 29380.59 28883.87 27666.54 25074.93 23288.31 17963.24 13580.09 33862.16 24476.85 25986.97 282
DROMVSNet86.01 5186.38 4384.91 9589.31 13966.27 16792.32 2893.63 2379.37 2184.17 7591.88 8869.04 8395.43 7583.93 5293.77 6793.01 96
sss73.60 25773.64 24773.51 31282.80 28755.01 32476.12 32281.69 30462.47 29774.68 23585.85 24757.32 20678.11 34560.86 25780.93 21387.39 269
Test_1112_low_res76.40 23075.44 22479.27 25189.28 14158.09 28581.69 27787.07 23659.53 31972.48 25486.67 22661.30 17089.33 27260.81 25880.15 22590.41 179
1112_ss77.40 21376.43 21480.32 23189.11 15260.41 26883.65 25387.72 22462.13 30073.05 24886.72 22062.58 14789.97 26262.11 24680.80 21690.59 173
ab-mvs-re7.23 3429.64 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37886.72 2200.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs79.51 15878.97 15481.14 21488.46 17360.91 25983.84 25089.24 18170.36 19079.03 13688.87 16463.23 13690.21 25965.12 22282.57 19992.28 120
TR-MVS77.44 21176.18 21781.20 21288.24 17963.24 22984.61 23486.40 24567.55 23877.81 16286.48 23554.10 22893.15 17657.75 28482.72 19787.20 275
MDTV_nov1_ep13_2view37.79 36875.16 32955.10 34466.53 31249.34 27953.98 30287.94 257
MDTV_nov1_ep1369.97 27983.18 27653.48 33577.10 32080.18 32160.45 30969.33 29080.44 31548.89 28686.90 30051.60 31278.51 240
MIMVSNet168.58 29866.78 30573.98 31080.07 32751.82 34380.77 28484.37 26664.40 27459.75 34682.16 30136.47 34683.63 32342.73 35170.33 32486.48 291
MIMVSNet70.69 28169.30 28074.88 30284.52 25056.35 31575.87 32679.42 32564.59 27167.76 29782.41 29641.10 33081.54 33246.64 34081.34 20986.75 287
IterMVS-LS80.06 14879.38 14382.11 18985.89 22963.20 23186.79 17889.34 17574.19 12675.45 21586.72 22066.62 9992.39 20172.58 15676.86 25890.75 166
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet79.07 17377.70 18583.17 15787.60 19968.23 13484.40 24286.20 24867.49 23976.36 19486.54 23361.54 16390.79 25161.86 24887.33 14090.49 176
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
ACMMP++_ref81.95 205
IterMVS74.29 24972.94 25378.35 26581.53 30863.49 22281.58 27882.49 29668.06 23569.99 28183.69 28251.66 25585.54 30965.85 21771.64 31886.01 300
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS Recon83.11 9082.09 9786.15 6894.44 2170.92 7688.79 11192.20 8870.53 18879.17 13591.03 11364.12 12596.03 5068.39 19590.14 10891.50 142
MVS_111021_LR82.61 9782.11 9684.11 12188.82 15871.58 5985.15 22086.16 24974.69 11480.47 12391.04 11162.29 15290.55 25580.33 8990.08 11090.20 186
DP-MVS76.78 22374.57 23583.42 14493.29 5469.46 10788.55 12283.70 27763.98 28270.20 27588.89 16354.01 23094.80 10746.66 33881.88 20686.01 300
ACMMP++81.25 210
HQP-MVS82.61 9782.02 10084.37 11289.33 13466.98 15689.17 9592.19 8976.41 7477.23 17590.23 12660.17 18995.11 9177.47 11185.99 16191.03 157
QAPM80.88 12479.50 14085.03 8888.01 18768.97 11491.59 4292.00 9766.63 24975.15 22692.16 8257.70 20195.45 7363.52 23088.76 12390.66 169
Vis-MVSNetpermissive83.46 8282.80 8885.43 7990.25 10868.74 12090.30 7290.13 15676.33 8080.87 11992.89 7161.00 17794.20 12572.45 15890.97 9793.35 81
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet59.14 32357.67 32663.57 34181.65 30543.50 36471.73 33965.06 36539.59 36151.43 35957.73 36138.34 34082.58 32939.53 35673.95 29964.62 360
IS-MVSNet83.15 8782.81 8784.18 12089.94 11863.30 22791.59 4288.46 20979.04 2679.49 13292.16 8265.10 11794.28 11967.71 19891.86 8894.95 5
HyFIR lowres test77.53 21075.40 22683.94 13589.59 12366.62 16180.36 29088.64 20656.29 34176.45 19085.17 26157.64 20293.28 16861.34 25483.10 19291.91 131
EPMVS69.02 29468.16 28971.59 32079.61 33449.80 35577.40 31866.93 36262.82 29370.01 27979.05 32545.79 30477.86 34756.58 29375.26 28887.13 279
PAPM_NR83.02 9182.41 9184.82 9892.47 7766.37 16587.93 14691.80 10773.82 13477.32 17290.66 11967.90 8994.90 10270.37 17289.48 11693.19 89
TAMVS78.89 17877.51 19083.03 16487.80 19267.79 14284.72 22985.05 26067.63 23676.75 18587.70 19362.25 15390.82 25058.53 27787.13 14390.49 176
PAPR81.66 11380.89 11683.99 13290.27 10764.00 21086.76 18191.77 11168.84 22677.13 18089.50 14667.63 9194.88 10467.55 20088.52 12793.09 91
RPSCF73.23 26371.46 26478.54 26282.50 29459.85 27182.18 27282.84 29458.96 32371.15 26889.41 15445.48 30884.77 31658.82 27471.83 31791.02 159
Vis-MVSNet (Re-imp)78.36 18978.45 16278.07 26988.64 16751.78 34486.70 18279.63 32474.14 12875.11 22790.83 11761.29 17189.75 26558.10 28191.60 8992.69 106
test_040272.79 26870.44 27579.84 24088.13 18165.99 17185.93 20284.29 26965.57 26167.40 30385.49 25446.92 29592.61 19335.88 35974.38 29680.94 343
MVS_111021_HR85.14 6684.75 7286.32 6591.65 8672.70 3185.98 20090.33 15076.11 8382.08 10091.61 9571.36 5894.17 12881.02 8092.58 7892.08 127
CSCG86.41 4786.19 4987.07 5092.91 6572.48 3890.81 5793.56 2673.95 13083.16 8891.07 11075.94 1895.19 8879.94 9294.38 6093.55 75
PatchMatch-RL72.38 27170.90 27176.80 28788.60 16867.38 15079.53 29876.17 34162.75 29469.36 28982.00 30445.51 30784.89 31553.62 30480.58 21978.12 351
API-MVS81.99 10581.23 10984.26 11890.94 9570.18 9391.10 5389.32 17671.51 17178.66 14488.28 18065.26 11595.10 9464.74 22691.23 9687.51 267
Test By Simon64.33 123
TDRefinement67.49 30264.34 31176.92 28573.47 36061.07 25784.86 22782.98 29259.77 31658.30 34985.13 26226.06 36087.89 29347.92 33560.59 35081.81 339
USDC70.33 28568.37 28676.21 29080.60 32156.23 31679.19 30386.49 24360.89 30761.29 34085.47 25531.78 35789.47 27153.37 30576.21 27082.94 334
EPP-MVSNet83.40 8483.02 8484.57 10490.13 11064.47 20292.32 2890.73 13874.45 12179.35 13491.10 10869.05 8295.12 9072.78 15587.22 14294.13 41
PMMVS69.34 29268.67 28471.35 32475.67 35062.03 24675.17 32873.46 34950.00 35468.68 29279.05 32552.07 24778.13 34461.16 25582.77 19573.90 355
PAPM77.68 20876.40 21581.51 20287.29 21161.85 24983.78 25189.59 17064.74 27071.23 26688.70 16662.59 14693.66 15352.66 30887.03 14589.01 230
ACMMPcopyleft85.89 5485.39 5987.38 4493.59 5172.63 3492.74 1993.18 4176.78 6780.73 12093.82 5364.33 12396.29 4082.67 7090.69 10093.23 85
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
CNLPA78.08 19676.79 20581.97 19490.40 10671.07 6987.59 15584.55 26566.03 25672.38 25689.64 14257.56 20386.04 30659.61 26583.35 18788.79 241
PatchmatchNetpermissive73.12 26471.33 26778.49 26483.18 27660.85 26079.63 29778.57 32864.13 27771.73 26279.81 32351.20 25885.97 30757.40 28776.36 26988.66 244
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS86.43 4586.17 5087.24 4690.88 9770.96 7292.27 3094.07 1172.45 15385.22 5291.90 8769.47 7696.42 3883.28 5895.94 2094.35 33
F-COLMAP76.38 23174.33 24082.50 18489.28 14166.95 16088.41 12689.03 18964.05 28066.83 30988.61 17046.78 29692.89 18757.48 28578.55 23887.67 262
ANet_high50.57 33146.10 33463.99 34048.67 37439.13 36770.99 34280.85 30961.39 30531.18 36557.70 36217.02 36873.65 36231.22 36115.89 37179.18 349
wuyk23d16.82 34115.94 34419.46 35558.74 36931.45 37239.22 3653.74 3806.84 3716.04 3742.70 3741.27 37924.29 37410.54 37314.40 3732.63 371
OMC-MVS82.69 9581.97 10284.85 9788.75 16367.42 14887.98 14290.87 13674.92 10879.72 13091.65 9262.19 15593.96 13375.26 13386.42 15493.16 90
MG-MVS83.41 8383.45 7883.28 14992.74 7162.28 24488.17 13889.50 17275.22 10181.49 11092.74 7966.75 9895.11 9172.85 15491.58 9092.45 114
AdaColmapbinary80.58 13979.42 14184.06 12593.09 6168.91 11589.36 9188.97 19469.27 21175.70 20989.69 14057.20 20995.77 6063.06 23688.41 12987.50 268
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ITE_SJBPF78.22 26681.77 30460.57 26483.30 28569.25 21267.54 30087.20 20936.33 34787.28 29954.34 30174.62 29486.80 285
DeepMVS_CXcopyleft27.40 35440.17 37726.90 37424.59 37817.44 37023.95 36848.61 3659.77 37326.48 37318.06 36824.47 36728.83 367
TinyColmap67.30 30564.81 30974.76 30481.92 30356.68 30980.29 29281.49 30660.33 31056.27 35583.22 28724.77 36187.66 29645.52 34469.47 32679.95 347
MAR-MVS81.84 10780.70 11785.27 8291.32 9071.53 6089.82 8190.92 13469.77 20278.50 14786.21 24062.36 15194.52 11465.36 22092.05 8489.77 211
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
LF4IMVS64.02 31962.19 32269.50 33170.90 36453.29 33976.13 32177.18 33752.65 35058.59 34780.98 31023.55 36376.52 35153.06 30766.66 33578.68 350
MSDG73.36 26170.99 27080.49 22784.51 25165.80 17680.71 28686.13 25065.70 25965.46 32083.74 28144.60 31090.91 24951.13 31476.89 25784.74 314
LS3D76.95 22174.82 23383.37 14790.45 10467.36 15189.15 9986.94 23861.87 30269.52 28790.61 12051.71 25494.53 11346.38 34186.71 15088.21 253
CLD-MVS82.31 9981.65 10584.29 11788.47 17267.73 14385.81 20892.35 8075.78 8978.33 15286.58 23164.01 12694.35 11776.05 12487.48 13990.79 164
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS53.68 32751.64 33059.81 34465.08 36751.03 34969.48 34769.58 35741.46 35840.67 36272.32 35216.46 36970.00 36424.24 36665.42 33958.40 363
Gipumacopyleft45.18 33241.86 33555.16 34677.03 34751.52 34632.50 36780.52 31432.46 36527.12 36635.02 3679.52 37475.50 35522.31 36760.21 35138.45 366
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015