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-MVS89.96 194.20 2794.77 1092.49 9596.52 7180.00 18294.00 17897.08 3290.05 2695.65 997.29 1389.66 398.97 6293.95 1098.71 1998.50 11
DeepC-MVS_fast89.43 294.04 2893.79 3194.80 2497.48 4486.78 2095.65 5696.89 4589.40 3892.81 4396.97 2885.37 3999.24 3290.87 6198.69 2198.38 22
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS88.79 393.31 4492.99 4694.26 4496.07 9185.83 5094.89 9896.99 3589.02 4989.56 9597.37 1182.51 6299.38 2392.20 3298.30 4297.57 73
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+87.14 492.42 5991.37 6395.55 395.63 10788.73 297.07 896.77 5590.84 1784.02 22596.62 4575.95 13999.34 2487.77 9097.68 5698.59 9
3Dnovator86.66 591.73 6690.82 7694.44 3794.59 15386.37 3497.18 697.02 3489.20 4284.31 22196.66 4373.74 17599.17 3686.74 10597.96 5197.79 66
TAPA-MVS84.62 688.16 14987.01 16091.62 13296.64 6580.65 16594.39 13896.21 9376.38 28586.19 15795.44 8479.75 9398.08 13362.75 33095.29 9596.13 120
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PLCcopyleft84.53 789.06 12788.03 13392.15 10997.27 5382.69 11994.29 14795.44 15579.71 25584.01 22694.18 12676.68 12398.75 8077.28 23493.41 12795.02 156
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
ACMP84.23 889.01 13088.35 12490.99 15694.73 14581.27 14695.07 8695.89 11686.48 10983.67 23394.30 12069.33 22997.99 13987.10 10488.55 20293.72 234
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM84.12 989.14 12488.48 12391.12 14594.65 15281.22 14995.31 6496.12 9885.31 13485.92 16094.34 11770.19 22198.06 13585.65 11588.86 20094.08 210
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PCF-MVS84.11 1087.74 16786.08 19792.70 8794.02 17184.43 7389.27 29595.87 11773.62 31184.43 21594.33 11878.48 10998.86 7170.27 27994.45 10994.81 173
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
OpenMVScopyleft83.78 1188.74 13587.29 14893.08 7192.70 21485.39 5496.57 2296.43 7778.74 26680.85 27096.07 6869.64 22699.01 5678.01 22896.65 7394.83 172
HY-MVS83.01 1289.03 12887.94 13692.29 10594.86 14282.77 11292.08 25794.49 20381.52 23886.93 14192.79 18078.32 11198.23 11079.93 20290.55 16695.88 132
LTVRE_ROB82.13 1386.26 21784.90 22590.34 18594.44 16081.50 13892.31 24994.89 19183.03 19479.63 28592.67 18169.69 22597.79 14771.20 27586.26 22891.72 297
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+81.04 1485.05 24683.46 25889.82 21194.66 15079.37 20794.44 13394.12 21682.19 21378.04 29392.82 17758.23 31997.54 16073.77 26482.90 25892.54 278
IB-MVS80.51 1585.24 24383.26 26291.19 14392.13 22379.86 18591.75 26091.29 28683.28 18480.66 27388.49 29261.28 30398.46 9580.99 18279.46 30795.25 152
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
COLMAP_ROBcopyleft80.39 1683.96 26782.04 27389.74 21595.28 12079.75 18894.25 14992.28 25475.17 29778.02 29493.77 14658.60 31897.84 14665.06 32385.92 22991.63 299
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ACMH80.38 1785.36 23983.68 25190.39 18094.45 15980.63 16694.73 11094.85 19382.09 21477.24 30092.65 18260.01 31397.58 15772.25 27184.87 23992.96 267
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet78.82 1885.55 23784.65 23188.23 27094.72 14671.93 31387.12 31892.75 24678.80 26484.95 19990.53 26264.43 28896.71 24174.74 25693.86 11796.06 126
OpenMVS_ROBcopyleft74.94 1979.51 30677.03 31086.93 29687.00 33376.23 28292.33 24890.74 30368.93 33774.52 32288.23 29749.58 34096.62 24457.64 34084.29 24387.94 343
PVSNet_073.20 2077.22 31274.83 31584.37 31990.70 28971.10 32083.09 34389.67 32372.81 32073.93 32583.13 33460.79 30893.70 32168.54 29750.84 35588.30 342
CMPMVSbinary59.16 2180.52 30079.20 29884.48 31883.98 34267.63 33789.95 28693.84 23064.79 34766.81 34491.14 24757.93 32195.17 30576.25 24388.10 21190.65 320
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PMVScopyleft47.18 2252.22 33548.46 33763.48 34745.72 37046.20 36273.41 35678.31 36241.03 36030.06 36365.68 3556.05 37083.43 35730.04 36165.86 34560.80 358
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive39.65 2343.39 33838.59 34457.77 34956.52 36848.77 36055.38 36258.64 36929.33 36428.96 36452.65 3604.68 37164.62 36528.11 36233.07 35759.93 359
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
GST-MVS94.21 2593.97 2894.90 1598.41 1686.82 1796.54 2397.19 2488.24 6893.26 3396.83 3385.48 3799.59 291.43 5498.40 3998.30 26
0601test90.69 8490.02 9192.71 8595.72 10282.41 12594.11 16295.12 17785.63 12691.49 7394.70 10674.75 15798.42 9986.13 11292.53 14397.31 80
thisisatest053088.67 13687.61 14191.86 12194.87 14180.07 17894.63 12089.90 31884.00 16188.46 10993.78 14566.88 26998.46 9583.30 14492.65 14197.06 94
Anonymous2024052988.09 15286.59 18392.58 9196.53 7081.92 13395.99 3995.84 11974.11 30789.06 10395.21 9261.44 30298.81 7783.67 14187.47 21797.01 97
Anonymous20240521187.68 16886.13 19392.31 10396.66 6480.74 16494.87 10191.49 28180.47 24789.46 9895.44 8454.72 33098.23 11082.19 16389.89 17797.97 54
Anonymous2024052190.69 8490.02 9192.71 8595.72 10282.41 12594.11 16295.12 17785.63 12691.49 7394.70 10674.75 15798.42 9986.13 11292.53 14397.31 80
tttt051788.61 13887.78 13891.11 14894.96 13677.81 25795.35 6289.69 32285.09 14088.05 11994.59 11366.93 26798.48 9383.27 14592.13 14897.03 96
our_test_381.93 28480.46 28486.33 30588.46 32273.48 29988.46 30791.11 28776.46 28376.69 30288.25 29666.89 26894.36 31568.75 29679.08 30891.14 308
thisisatest051587.33 19085.99 19991.37 13993.49 19179.55 19090.63 27689.56 32680.17 24987.56 13390.86 25267.07 26698.28 10981.50 17593.02 13696.29 114
ppachtmachnet_test81.84 28580.07 29087.15 29488.46 32274.43 29089.04 30092.16 25775.33 29577.75 29688.99 28266.20 27795.37 29865.12 32277.60 31391.65 298
SMA-MVS95.20 595.07 795.59 298.14 2788.48 496.26 2997.28 2085.90 11997.67 198.10 188.41 1099.56 394.66 499.19 198.71 5
tfpn11187.63 17486.68 17490.47 17696.12 8478.55 22995.03 8991.58 27487.15 9088.06 11692.29 19268.91 23798.15 11869.88 28891.10 15394.71 176
conf0.0185.83 22784.54 23389.71 21795.26 12277.63 26494.21 15289.33 32781.89 22384.94 20091.51 22768.43 25396.80 23366.05 31289.23 18994.71 176
GSMVS96.12 121
ESAPD95.57 195.67 195.25 698.36 1987.28 1195.56 5997.51 489.13 4597.14 297.91 391.64 199.62 194.61 599.17 298.86 2
conf0.00285.83 22784.54 23389.71 21795.26 12277.63 26494.21 15289.33 32781.89 22384.94 20091.51 22768.43 25396.80 23366.05 31289.23 18994.71 176
thresconf0.0285.75 23184.54 23389.38 23295.26 12277.63 26494.21 15289.33 32781.89 22384.94 20091.51 22768.43 25396.80 23366.05 31289.23 18993.70 235
tfpn_n40085.75 23184.54 23389.38 23295.26 12277.63 26494.21 15289.33 32781.89 22384.94 20091.51 22768.43 25396.80 23366.05 31289.23 18993.70 235
tfpnconf85.75 23184.54 23389.38 23295.26 12277.63 26494.21 15289.33 32781.89 22384.94 20091.51 22768.43 25396.80 23366.05 31289.23 18993.70 235
tfpnview1185.75 23184.54 23389.38 23295.26 12277.63 26494.21 15289.33 32781.89 22384.94 20091.51 22768.43 25396.80 23366.05 31289.23 18993.70 235
tfpn100086.06 22084.92 22489.49 22795.54 10977.79 25894.72 11389.07 33482.05 21585.36 19391.94 20968.32 26096.65 24267.04 30690.24 17194.02 214
test_part298.55 587.22 1296.40 4
tfpn_ndepth86.10 21984.98 22089.43 22995.52 11278.29 24494.62 12189.60 32581.88 23085.43 18590.54 26068.47 25196.85 23268.46 29990.34 17093.15 263
test_part10.00 3590.00 3740.00 36597.45 70.00 3760.00 3710.00 3680.00 3690.00 369
conf200view1187.65 17086.71 17190.46 17896.12 8478.55 22995.03 8991.58 27487.15 9088.06 11692.29 19268.91 23798.10 12570.13 28391.10 15394.71 176
thres100view90087.63 17486.71 17190.38 18296.12 8478.55 22995.03 8991.58 27487.15 9088.06 11692.29 19268.91 23798.10 12570.13 28391.10 15394.48 195
tfpnnormal84.72 25983.23 26389.20 24092.79 21380.05 17994.48 12895.81 12182.38 21081.08 26891.21 24269.01 23696.95 22561.69 33280.59 29390.58 324
tfpn200view987.58 18386.64 18090.41 17995.99 9478.64 22694.58 12391.98 26586.94 10288.09 11391.77 21369.18 23498.10 12570.13 28391.10 15394.48 195
view60087.62 17786.65 17690.53 16696.19 7978.52 23395.29 6891.09 28887.08 9587.84 12393.03 16868.86 24198.11 12169.44 29091.02 16194.96 161
view80087.62 17786.65 17690.53 16696.19 7978.52 23395.29 6891.09 28887.08 9587.84 12393.03 16868.86 24198.11 12169.44 29091.02 16194.96 161
conf0.05thres100087.62 17786.65 17690.53 16696.19 7978.52 23395.29 6891.09 28887.08 9587.84 12393.03 16868.86 24198.11 12169.44 29091.02 16194.96 161
tfpn87.62 17786.65 17690.53 16696.19 7978.52 23395.29 6891.09 28887.08 9587.84 12393.03 16868.86 24198.11 12169.44 29091.02 16194.96 161
v1.039.85 34153.14 3360.00 35998.55 50.00 3740.00 36597.45 788.25 6796.40 497.60 60.00 3760.00 3710.00 3680.00 3690.00 369
CHOSEN 280x42085.15 24483.99 24388.65 25092.47 21778.40 24179.68 35092.76 24574.90 30181.41 26489.59 27669.85 22495.51 28979.92 20395.29 9592.03 291
CANet93.54 3993.20 4294.55 3495.65 10685.73 5294.94 9596.69 6391.89 590.69 8495.88 7481.99 7499.54 1193.14 2097.95 5298.39 21
Fast-Effi-MVS+-dtu87.44 18786.72 17089.63 22192.04 22577.68 26394.03 17593.94 22685.81 12082.42 24991.32 23770.33 21997.06 21780.33 19590.23 17294.14 205
Effi-MVS+-dtu88.65 13788.35 12489.54 22393.33 19676.39 27994.47 13194.36 20787.70 8185.43 18589.56 27873.45 17897.26 20185.57 11691.28 15294.97 158
CANet_DTU90.26 9689.41 10092.81 8193.46 19383.01 10793.48 20594.47 20489.43 3787.76 13094.23 12570.54 21799.03 5184.97 12096.39 7996.38 112
MVS_030493.25 4892.62 5295.14 995.72 10287.58 894.71 11596.59 7091.78 791.46 7596.18 6575.45 15099.55 893.53 1298.19 4598.28 29
MP-MVS-pluss94.21 2594.00 2794.85 1898.17 2686.65 2694.82 10497.17 2786.26 11492.83 4297.87 485.57 3699.56 394.37 898.92 698.34 23
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HSP-MVS95.30 495.48 394.76 2698.49 1086.52 3096.91 1596.73 5791.73 996.10 796.69 4089.90 299.30 3094.70 398.04 5098.45 18
sam_mvs171.70 19796.12 121
sam_mvs70.60 212
semantic-postprocess88.18 27191.71 23376.87 27692.65 24985.40 13281.44 26390.54 26066.21 27695.00 31081.04 17981.05 28492.66 276
TSAR-MVS + MP.94.85 994.94 894.58 3398.25 2386.33 3696.11 3596.62 6888.14 7196.10 796.96 2989.09 898.94 6694.48 698.68 2498.48 13
xiu_mvs_v1_base_debu90.64 8790.05 8892.40 9893.97 17784.46 6993.32 20995.46 14985.17 13592.25 5794.03 12770.59 21398.57 8990.97 5794.67 10094.18 202
OPM-MVS90.12 9789.56 9691.82 12593.14 20183.90 8194.16 15995.74 12788.96 5087.86 12195.43 8672.48 19297.91 14488.10 8790.18 17393.65 240
ACMMP_Plus94.74 1194.56 1295.28 598.02 3387.70 595.68 5297.34 1288.28 6695.30 1297.67 585.90 3399.54 1193.91 1198.95 498.60 8
ambc83.06 32479.99 35063.51 34477.47 35392.86 24274.34 32484.45 32828.74 35795.06 30973.06 26868.89 34390.61 321
zzz-MVS94.47 1394.30 1595.00 1098.42 1486.95 1395.06 8896.97 3791.07 1493.14 3897.56 784.30 5099.56 393.43 1598.75 1698.47 14
MTGPAbinary96.97 37
mvs-test189.45 11589.14 10690.38 18293.33 19677.63 26494.95 9494.36 20787.70 8187.10 13992.81 17873.45 17898.03 13785.57 11693.04 13595.48 145
Effi-MVS+91.59 7091.11 6993.01 7594.35 16483.39 9694.60 12295.10 17987.10 9490.57 8593.10 16581.43 7998.07 13489.29 7394.48 10797.59 72
xiu_mvs_v2_base91.13 7890.89 7591.86 12194.97 13582.42 12392.24 25095.64 13586.11 11891.74 7193.14 16379.67 9898.89 6789.06 7595.46 9194.28 201
xiu_mvs_v1_base90.64 8790.05 8892.40 9893.97 17784.46 6993.32 20995.46 14985.17 13592.25 5794.03 12770.59 21398.57 8990.97 5794.67 10094.18 202
new-patchmatchnet76.41 31475.17 31480.13 32882.65 34759.61 34887.66 31591.08 29278.23 27369.85 33883.22 33354.76 32991.63 33964.14 32664.89 34789.16 332
pmmvs683.42 27281.60 27588.87 24588.01 32977.87 25594.96 9394.24 21174.67 30378.80 28991.09 24960.17 31296.49 25177.06 23975.40 32092.23 289
pmmvs584.21 26582.84 26988.34 26688.95 31776.94 27592.41 24591.91 26975.63 29380.28 27791.18 24464.59 28795.57 28677.09 23883.47 25392.53 279
test_post188.00 3119.81 36769.31 23195.53 28776.65 240
test_post10.29 36670.57 21695.91 276
Fast-Effi-MVS+89.41 11888.64 11791.71 12994.74 14480.81 16293.54 20395.10 17983.11 18786.82 14590.67 25679.74 9497.75 15280.51 19193.55 12296.57 109
patchmatchnet-post83.76 33171.53 20096.48 252
Anonymous2023121186.59 21185.13 21790.98 15896.52 7181.50 13896.14 3396.16 9473.78 30983.65 23492.15 19763.26 29297.37 19282.82 15281.74 27694.06 211
pmmvs-eth3d80.97 29878.72 30387.74 27784.99 34079.97 18390.11 28391.65 27375.36 29473.51 32686.03 32359.45 31593.96 31975.17 25272.21 32689.29 330
GG-mvs-BLEND87.94 27689.73 31177.91 25287.80 31278.23 36380.58 27483.86 33059.88 31495.33 30471.20 27592.22 14790.60 323
xiu_mvs_v1_base_debi90.64 8790.05 8892.40 9893.97 17784.46 6993.32 20995.46 14985.17 13592.25 5794.03 12770.59 21398.57 8990.97 5794.67 10094.18 202
Anonymous2023120681.03 29779.77 29384.82 31687.85 33270.26 32791.42 26892.08 26073.67 31077.75 29689.25 28062.43 29693.08 32961.50 33382.00 26991.12 309
MTAPA94.42 1894.22 1895.00 1098.42 1486.95 1394.36 14696.97 3791.07 1493.14 3897.56 784.30 5099.56 393.43 1598.75 1698.47 14
MTMP96.16 3260.64 368
gm-plane-assit89.60 31268.00 33477.28 28088.99 28297.57 15879.44 213
test9_res91.91 4398.71 1998.07 47
MVP-Stereo85.97 22384.86 22689.32 23690.92 28082.19 12892.11 25594.19 21278.76 26578.77 29091.63 21968.38 25996.56 24775.01 25593.95 11589.20 331
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST997.53 3986.49 3194.07 17096.78 5381.61 23692.77 4496.20 6187.71 1599.12 42
train_agg93.44 4193.08 4394.52 3597.53 3986.49 3194.07 17096.78 5381.86 23192.77 4496.20 6187.63 1699.12 4292.14 3698.69 2197.94 56
gg-mvs-nofinetune81.77 28679.37 29688.99 24490.85 28477.73 26286.29 32279.63 36174.88 30283.19 24369.05 35360.34 31096.11 26775.46 24994.64 10393.11 264
Patchmatch-test185.81 22984.71 22989.12 24192.15 22176.60 27791.12 27491.69 27283.53 17685.50 17988.56 29166.79 27095.00 31072.69 26990.35 16995.76 138
Patchmatch-test81.37 29379.30 29787.58 28190.92 28074.16 29380.99 34787.68 34470.52 33376.63 30388.81 28571.21 20392.76 33160.01 33886.93 22695.83 135
test_897.49 4286.30 3994.02 17696.76 5681.86 23192.70 4896.20 6187.63 1699.02 54
MS-PatchMatch85.05 24684.16 24087.73 27891.42 24478.51 23791.25 27293.53 23377.50 27680.15 27991.58 22161.99 29895.51 28975.69 24794.35 11289.16 332
Patchmatch-RL test81.67 28779.96 29186.81 30185.42 33771.23 31882.17 34587.50 34678.47 26877.19 30182.50 33670.81 21093.48 32382.66 15472.89 32595.71 140
agg_prior393.27 4692.89 4994.40 4197.49 4286.12 4394.07 17096.73 5781.46 23992.46 5696.05 6986.90 2399.15 3992.14 3698.69 2197.94 56
cdsmvs_eth3d_5k22.14 34429.52 3450.00 3590.00 3740.00 3740.00 36595.76 1250.00 3690.00 37194.29 12175.66 1460.00 3710.00 3680.00 3690.00 369
pcd_1.5k_mvsjas6.64 3498.86 3500.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 37179.70 950.00 3710.00 3680.00 3690.00 369
pcd1.5k->3k37.02 34238.84 34331.53 35492.33 2190.00 3740.00 36596.13 970.00 3690.00 3710.00 37172.70 1870.00 3710.00 36888.43 20794.60 184
agg_prior193.29 4592.97 4794.26 4497.38 4685.92 4693.92 18196.72 5981.96 21892.16 6096.23 5987.85 1298.97 6291.95 4298.55 3797.90 61
agg_prior290.54 6498.68 2498.27 32
agg_prior97.38 4685.92 4696.72 5992.16 6098.97 62
tmp_tt35.64 34339.24 34224.84 35514.87 37123.90 37162.71 36151.51 3716.58 36636.66 36162.08 35844.37 34930.34 36852.40 34322.00 36420.27 364
canonicalmvs93.27 4692.75 5194.85 1895.70 10587.66 696.33 2696.41 7890.00 2894.09 1994.60 11282.33 6498.62 8692.40 2892.86 13998.27 32
anonymousdsp87.84 16187.09 15590.12 19589.13 31480.54 16994.67 11895.55 13982.05 21583.82 22992.12 19971.47 20297.15 20987.15 10087.80 21692.67 275
alignmvs93.08 5292.50 5594.81 2395.62 10887.61 795.99 3996.07 10189.77 3294.12 1894.87 10080.56 8498.66 8292.42 2793.10 13498.15 41
nrg03091.08 7990.39 7993.17 6693.07 20386.91 1596.41 2596.26 8688.30 6588.37 11194.85 10382.19 6897.64 15691.09 5682.95 25794.96 161
v14419287.19 19886.35 18789.74 21590.64 29178.24 24693.92 18195.43 15681.93 22085.51 17891.05 25074.21 16697.45 16982.86 15081.56 28093.53 249
FIs90.51 9190.35 8090.99 15693.99 17680.98 15695.73 4997.54 389.15 4486.72 14694.68 10881.83 7697.24 20385.18 11888.31 21094.76 175
v192192086.97 20286.06 19889.69 22090.53 29678.11 24993.80 18795.43 15681.90 22285.33 19491.05 25072.66 18897.41 18582.05 16681.80 27493.53 249
UA-Net92.83 5492.54 5493.68 5896.10 8984.71 6195.66 5496.39 8191.92 493.22 3596.49 5183.16 5798.87 6884.47 12895.47 9097.45 77
v119287.25 19486.33 18890.00 20790.76 28679.04 22193.80 18795.48 14882.57 20885.48 18091.18 24473.38 18197.42 18082.30 16182.06 26693.53 249
FC-MVSNet-test90.27 9590.18 8590.53 16693.71 18679.85 18695.77 4897.59 289.31 4086.27 15594.67 10981.93 7597.01 22084.26 13388.09 21394.71 176
v114487.61 18286.79 16890.06 20391.01 27379.34 20993.95 18095.42 15883.36 18285.66 17291.31 23874.98 15697.42 18083.37 14382.06 26693.42 254
sosnet-low-res0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
HFP-MVS94.52 1294.40 1394.86 1698.61 386.81 1896.94 1097.34 1288.63 5793.65 2597.21 1986.10 2999.49 1792.35 2998.77 1498.30 26
v14887.04 20186.32 18989.21 23990.94 27877.26 27293.71 19694.43 20584.84 14484.36 21990.80 25476.04 13497.05 21882.12 16479.60 30693.31 256
sosnet0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
v74886.27 21685.28 21589.25 23890.26 30077.58 27194.89 9895.50 14684.28 15881.41 26490.46 26472.57 19197.32 19479.81 20778.36 31092.84 271
uncertanet0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
AllTest83.42 27281.39 27689.52 22495.01 13277.79 25893.12 22090.89 29977.41 27776.12 31193.34 15154.08 33397.51 16368.31 30184.27 24493.26 257
TestCases89.52 22495.01 13277.79 25890.89 29977.41 27776.12 31193.34 15154.08 33397.51 16368.31 30184.27 24493.26 257
v7n86.81 20385.76 20589.95 20890.72 28879.25 21595.07 8695.92 11184.45 15482.29 25090.86 25272.60 19097.53 16179.42 21580.52 29693.08 266
v114187.84 16187.09 15590.11 20091.23 26279.25 21594.08 16895.24 16984.44 15585.69 17091.31 23875.91 14097.44 17684.17 13581.74 27693.63 243
region2R94.43 1694.27 1794.92 1298.65 186.67 2596.92 1497.23 2388.60 5993.58 2997.27 1485.22 4099.54 1192.21 3198.74 1898.56 10
testing_283.40 27481.02 27990.56 16585.06 33980.51 17091.37 26995.57 13782.92 20067.06 34385.54 32649.47 34197.24 20386.74 10585.44 23393.93 216
test_normal88.13 15186.78 16992.18 10890.55 29581.19 15192.74 23694.64 20083.84 16577.49 29990.51 26368.49 25098.16 11688.22 8394.55 10597.21 86
v1neww87.98 15587.25 15190.16 18991.38 24779.41 20194.37 14295.28 16484.48 15185.77 16391.53 22576.12 12897.45 16984.45 13081.89 27093.61 245
PS-MVSNAJss89.97 10189.62 9591.02 15391.90 22680.85 16195.26 7595.98 10786.26 11486.21 15694.29 12179.70 9597.65 15488.87 7788.10 21194.57 187
PS-MVSNAJ91.18 7790.92 7391.96 11695.26 12282.60 12292.09 25695.70 12986.27 11391.84 6692.46 18579.70 9598.99 6089.08 7495.86 8494.29 200
jajsoiax88.24 14787.50 14290.48 17590.89 28280.14 17595.31 6495.65 13484.97 14284.24 22394.02 13065.31 28397.42 18088.56 7988.52 20493.89 218
mvs_tets88.06 15487.28 14990.38 18290.94 27879.88 18495.22 7795.66 13285.10 13984.21 22493.94 13563.53 29197.40 18788.50 8088.40 20993.87 221
#test#94.32 2194.14 2294.86 1698.61 386.81 1896.43 2497.34 1287.51 8693.65 2597.21 1986.10 2999.49 1791.68 4898.77 1498.30 26
EI-MVSNet-UG-set92.74 5692.62 5293.12 6894.86 14283.20 9994.40 13695.74 12790.71 2192.05 6396.60 4684.00 5298.99 6091.55 4993.63 12197.17 88
EI-MVSNet-Vis-set93.01 5392.92 4893.29 6195.01 13283.51 9394.48 12895.77 12490.87 1692.52 5396.67 4284.50 4999.00 5991.99 3994.44 11097.36 78
Regformer-393.68 3693.64 3693.81 5595.36 11584.61 6294.68 11695.83 12091.27 1393.60 2896.71 3885.75 3498.86 7192.87 2196.65 7397.96 55
Regformer-493.91 3293.81 3094.19 4695.36 11585.47 5394.68 11696.41 7891.60 1193.75 2496.71 3885.95 3299.10 4493.21 1996.65 7398.01 53
Regformer-194.22 2494.13 2394.51 3695.54 10986.36 3594.57 12596.44 7591.69 1094.32 1696.56 4987.05 2299.03 5193.35 1897.65 5898.15 41
Regformer-294.33 2094.22 1894.68 2995.54 10986.75 2294.57 12596.70 6191.84 694.41 1496.56 4987.19 2099.13 4193.50 1397.65 5898.16 40
v7new87.98 15587.25 15190.16 18991.38 24779.41 20194.37 14295.28 16484.48 15185.77 16391.53 22576.12 12897.45 16984.45 13081.89 27093.61 245
HPM-MVS++copyleft95.14 794.91 995.83 198.25 2389.65 195.92 4396.96 4091.75 894.02 2196.83 3388.12 1199.55 893.41 1798.94 598.28 29
test_prior485.96 4594.11 162
XVS94.45 1494.32 1494.85 1898.54 786.60 2896.93 1297.19 2490.66 2292.85 4097.16 2485.02 4499.49 1791.99 3998.56 3598.47 14
v124086.78 20585.85 20389.56 22290.45 29777.79 25893.61 20195.37 16181.65 23385.43 18591.15 24671.50 20197.43 17881.47 17682.05 26893.47 253
test_prior393.60 3893.53 3793.82 5397.29 5184.49 6694.12 16096.88 4687.67 8392.63 4996.39 5486.62 2598.87 6891.50 5098.67 2698.11 45
v1884.97 24883.76 24688.60 25491.36 25079.41 20193.82 18694.04 21783.00 19776.61 30486.60 31276.19 12695.43 29480.39 19271.79 32990.96 311
pm-mvs186.61 20985.54 20789.82 21191.44 24080.18 17395.28 7494.85 19383.84 16581.66 26192.62 18372.45 19496.48 25279.67 20978.06 31192.82 273
test_prior294.12 16087.67 8392.63 4996.39 5486.62 2591.50 5098.67 26
X-MVStestdata88.31 14586.13 19394.85 1898.54 786.60 2896.93 1297.19 2490.66 2292.85 4023.41 36585.02 4499.49 1791.99 3998.56 3598.47 14
test_prior93.82 5397.29 5184.49 6696.88 4698.87 6898.11 45
v1784.93 25183.70 25088.62 25291.36 25079.48 19593.83 18494.03 21983.04 19376.51 30686.57 31476.05 13295.42 29580.31 19771.65 33090.96 311
v1684.96 24983.74 24888.62 25291.40 24579.48 19593.83 18494.04 21783.03 19476.54 30586.59 31376.11 13195.42 29580.33 19571.80 32890.95 313
divwei89l23v2f11287.84 16187.09 15590.10 20291.23 26279.24 21794.09 16695.24 16984.44 15585.70 16891.31 23875.91 14097.44 17684.17 13581.73 27893.64 241
v1584.79 25483.53 25588.57 25891.30 26179.41 20193.70 19794.01 22083.06 19076.27 30786.42 31876.03 13595.38 29780.01 19971.00 33390.92 314
旧先验293.36 20871.25 32994.37 1597.13 21286.74 105
新几何293.11 222
新几何193.10 6997.30 5084.35 7595.56 13871.09 33191.26 7896.24 5882.87 6098.86 7179.19 21798.10 4896.07 125
旧先验196.79 6281.81 13495.67 13096.81 3586.69 2497.66 5796.97 99
无先验93.28 21596.26 8673.95 30899.05 4780.56 18996.59 108
原ACMM292.94 231
原ACMM192.01 11297.34 4881.05 15496.81 5178.89 26190.45 8795.92 7282.65 6198.84 7680.68 18798.26 4496.14 119
v1384.72 25983.44 26088.58 25591.31 26079.52 19193.77 18994.00 22383.03 19475.85 31686.38 32075.84 14295.35 30279.83 20670.95 33590.87 318
v1284.74 25783.46 25888.58 25591.32 25779.50 19293.75 19194.01 22083.06 19075.98 31586.41 31975.82 14395.36 30179.87 20570.89 33790.89 317
test22296.55 6981.70 13592.22 25195.01 18368.36 33890.20 9096.14 6680.26 8997.80 5596.05 127
testdata298.75 8078.30 224
segment_acmp87.16 21
testdata90.49 17496.40 7377.89 25495.37 16172.51 32193.63 2796.69 4082.08 7097.65 15483.08 14697.39 6195.94 129
testdata192.15 25387.94 73
v887.50 18686.71 17189.89 20991.37 24979.40 20594.50 12795.38 15984.81 14583.60 23691.33 23576.05 13297.42 18082.84 15180.51 29792.84 271
131487.51 18586.57 18490.34 18592.42 21879.74 18992.63 23895.35 16378.35 27080.14 28091.62 22074.05 16997.15 20981.05 17893.53 12394.12 206
112190.42 9389.49 9793.20 6497.27 5384.46 6992.63 23895.51 14571.01 33291.20 7996.21 6082.92 5999.05 4780.56 18998.07 4996.10 123
LFMVS90.08 9889.13 10792.95 7796.71 6382.32 12796.08 3689.91 31786.79 10592.15 6296.81 3562.60 29498.34 10487.18 9993.90 11698.19 38
v787.75 16686.96 16190.12 19591.20 26579.50 19294.28 14895.46 14983.45 17885.75 16591.56 22475.13 15297.43 17883.60 14282.18 26593.42 254
v687.98 15587.25 15190.16 18991.36 25079.39 20694.37 14295.27 16784.48 15185.78 16291.51 22776.15 12797.46 16784.46 12981.88 27293.62 244
VDD-MVS90.74 8289.92 9393.20 6496.27 7783.02 10695.73 4993.86 22888.42 6392.53 5296.84 3262.09 29798.64 8490.95 6092.62 14297.93 59
v1184.67 26283.41 26188.44 26391.32 25779.13 22093.69 20093.99 22582.81 20376.20 30986.24 32275.48 14895.35 30279.53 21071.48 33290.85 319
VDDNet89.56 11188.49 12292.76 8495.07 13182.09 12996.30 2793.19 23881.05 24491.88 6596.86 3161.16 30798.33 10588.43 8292.49 14597.84 63
v5286.50 21285.53 21089.39 23089.17 31378.99 22294.72 11395.54 14183.59 17182.10 25490.60 25971.59 19997.45 16982.52 15579.99 30291.73 296
V1484.79 25483.52 25688.57 25891.32 25779.43 20093.72 19594.01 22083.06 19076.22 30886.43 31576.01 13695.37 29879.96 20170.99 33490.91 315
v1087.25 19486.38 18689.85 21091.19 26779.50 19294.48 12895.45 15383.79 16883.62 23591.19 24375.13 15297.42 18081.94 16880.60 29292.63 277
V486.50 21285.54 20789.39 23089.13 31478.99 22294.73 11095.54 14183.59 17182.10 25490.61 25871.60 19897.45 16982.52 15580.01 30191.74 295
VPNet88.20 14887.47 14490.39 18093.56 19079.46 19794.04 17495.54 14188.67 5686.96 14094.58 11469.33 22997.15 20984.05 13780.53 29594.56 188
MVS87.44 18786.10 19691.44 13792.61 21683.62 9092.63 23895.66 13267.26 34281.47 26292.15 19777.95 11298.22 11279.71 20895.48 8992.47 281
v2v48287.84 16187.06 15890.17 18890.99 27479.23 21994.00 17895.13 17684.87 14385.53 17692.07 20574.45 16197.45 16984.71 12681.75 27593.85 224
v187.85 16087.10 15490.11 20091.21 26479.24 21794.09 16695.24 16984.44 15585.70 16891.31 23875.96 13897.45 16984.18 13481.73 27893.64 241
V4287.68 16886.86 16390.15 19390.58 29280.14 17594.24 15095.28 16483.66 17085.67 17191.33 23574.73 15997.41 18584.43 13281.83 27392.89 269
V984.77 25683.50 25788.58 25591.33 25579.46 19793.75 19194.00 22383.07 18976.07 31386.43 31575.97 13795.37 29879.91 20470.93 33690.91 315
SD-MVS94.96 895.33 593.88 5197.25 5586.69 2396.19 3197.11 3190.42 2496.95 397.27 1489.53 496.91 22894.38 798.85 898.03 51
GA-MVS86.61 20985.27 21690.66 16291.33 25578.71 22590.40 27893.81 23185.34 13385.12 19689.57 27761.25 30497.11 21380.99 18289.59 18396.15 118
MSLP-MVS++93.72 3594.08 2492.65 8897.31 4983.43 9495.79 4797.33 1590.03 2793.58 2996.96 2984.87 4697.76 14992.19 3398.66 2896.76 104
APDe-MVS95.46 295.64 294.91 1398.26 2286.29 4097.46 297.40 1089.03 4896.20 698.10 189.39 699.34 2495.88 199.03 399.10 1
APD-MVS_3200maxsize93.78 3493.77 3393.80 5697.92 3484.19 7796.30 2796.87 4886.96 10093.92 2397.47 983.88 5498.96 6592.71 2497.87 5398.26 34
ADS-MVSNet281.66 28879.71 29487.50 28391.35 25374.19 29283.33 34188.48 33872.90 31882.24 25285.77 32464.98 28593.20 32764.57 32483.74 24895.12 153
EI-MVSNet89.10 12588.86 11589.80 21491.84 22878.30 24393.70 19795.01 18385.73 12387.15 13795.28 8879.87 9297.21 20783.81 14087.36 22093.88 220
Regformer0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
CVMVSNet84.69 26184.79 22884.37 31991.84 22864.92 34293.70 19791.47 28266.19 34486.16 15895.28 8867.18 26593.33 32580.89 18490.42 16894.88 170
pmmvs485.43 23883.86 24590.16 18990.02 30682.97 10990.27 27992.67 24875.93 29180.73 27191.74 21571.05 20595.73 28378.85 21983.46 25491.78 294
EU-MVSNet81.32 29480.95 28082.42 32688.50 32163.67 34393.32 20991.33 28464.02 34880.57 27592.83 17661.21 30692.27 33376.34 24280.38 29891.32 304
VNet92.24 6091.91 5993.24 6396.59 6783.43 9494.84 10396.44 7589.19 4394.08 2095.90 7377.85 11698.17 11588.90 7693.38 12898.13 43
test-LLR85.87 22485.41 21287.25 28990.95 27671.67 31589.55 28989.88 31983.41 17984.54 21187.95 30067.25 26395.11 30781.82 17093.37 12994.97 158
TESTMET0.1,183.74 27182.85 26886.42 30489.96 30771.21 31989.55 28987.88 34177.41 27783.37 24187.31 30856.71 32393.65 32280.62 18892.85 14094.40 198
test-mter84.54 26383.64 25387.25 28990.95 27671.67 31589.55 28989.88 31979.17 25884.54 21187.95 30055.56 32695.11 30781.82 17093.37 12994.97 158
VPA-MVSNet89.62 10888.96 11091.60 13393.86 18082.89 11195.46 6197.33 1587.91 7488.43 11093.31 15574.17 16797.40 18787.32 9882.86 25994.52 190
ACMMPR94.43 1694.28 1694.91 1398.63 286.69 2396.94 1097.32 1788.63 5793.53 3297.26 1685.04 4399.54 1192.35 2998.78 1398.50 11
testgi80.94 29980.20 28883.18 32387.96 33066.29 33891.28 27090.70 30483.70 16978.12 29292.84 17551.37 33790.82 34063.34 32782.46 26292.43 282
test20.0379.95 30379.08 30082.55 32585.79 33667.74 33691.09 27591.08 29281.23 24274.48 32389.96 27261.63 30090.15 34160.08 33676.38 31789.76 326
thres600view787.65 17086.67 17590.59 16396.08 9078.72 22494.88 10091.58 27487.06 9988.08 11592.30 19168.91 23798.10 12570.05 28791.10 15394.96 161
111170.54 32469.71 32473.04 33879.30 35144.83 36384.23 33588.96 33567.33 34065.42 34582.28 33741.11 35288.11 34647.12 35171.60 33186.19 345
.test124557.63 33461.79 33145.14 35279.30 35144.83 36384.23 33588.96 33567.33 34065.42 34582.28 33741.11 35288.11 34647.12 3510.39 3662.46 367
ADS-MVSNet81.56 29079.78 29286.90 29891.35 25371.82 31483.33 34189.16 33372.90 31882.24 25285.77 32464.98 28593.76 32064.57 32483.74 24895.12 153
MP-MVScopyleft94.25 2294.07 2594.77 2598.47 1186.31 3896.71 2096.98 3689.04 4791.98 6497.19 2185.43 3899.56 392.06 3898.79 1198.44 19
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs8.92 34611.52 3471.12 3581.06 3720.46 37386.02 3230.65 3740.62 3672.74 3699.52 3680.31 3750.45 3702.38 3660.39 3662.46 367
thres40087.62 17786.64 18090.57 16495.99 9478.64 22694.58 12391.98 26586.94 10288.09 11391.77 21369.18 23498.10 12570.13 28391.10 15394.96 161
test1238.76 34711.22 3481.39 3570.85 3730.97 37285.76 3270.35 3750.54 3682.45 3708.14 3690.60 3740.48 3692.16 3670.17 3682.71 366
thres20087.21 19786.24 19290.12 19595.36 11578.53 23293.26 21692.10 25886.42 11188.00 12091.11 24869.24 23398.00 13869.58 28991.04 16093.83 225
test0.0.03 182.41 28181.69 27484.59 31788.23 32572.89 30390.24 28087.83 34283.41 17979.86 28389.78 27467.25 26388.99 34365.18 32183.42 25591.90 293
test1235664.99 32863.78 32768.61 34572.69 35739.14 36678.46 35187.61 34564.91 34655.77 35277.48 34728.10 35885.59 35344.69 35464.35 34881.12 351
testus74.41 31873.35 31677.59 33482.49 34857.08 35186.02 32390.21 30972.28 32372.89 33184.32 32937.08 35486.96 34952.24 34482.65 26088.73 335
pmmvs371.81 32268.71 32581.11 32775.86 35570.42 32686.74 31983.66 35358.95 35268.64 34280.89 34236.93 35589.52 34263.10 32963.59 34983.39 347
testmv65.49 32762.66 32873.96 33768.78 36053.14 35884.70 33388.56 33765.94 34552.35 35474.65 34925.02 36185.14 35443.54 35560.40 35383.60 346
EMVS42.07 34041.12 34144.92 35363.45 36635.56 36973.65 35463.48 36733.05 36326.88 36645.45 36421.27 36467.14 36419.80 36423.02 36332.06 363
E-PMN43.23 33942.29 34046.03 35165.58 36437.41 36773.51 35564.62 36633.99 36228.47 36547.87 36219.90 36667.91 36322.23 36324.45 36132.77 362
test235674.50 31773.27 31778.20 33080.81 34959.84 34683.76 34088.33 34071.43 32872.37 33381.84 33945.60 34886.26 35150.97 34584.32 24288.50 339
test123567872.22 32070.31 32277.93 33378.04 35458.04 35085.76 32789.80 32170.15 33563.43 34880.20 34442.24 35187.24 34848.68 34974.50 32188.50 339
PGM-MVS93.96 3193.72 3494.68 2998.43 1386.22 4195.30 6697.78 187.45 8793.26 3397.33 1284.62 4899.51 1590.75 6398.57 3498.32 25
LCM-MVSNet-Re88.30 14688.32 12788.27 26794.71 14772.41 31293.15 21990.98 29687.77 7979.25 28891.96 20878.35 11095.75 28283.04 14795.62 8696.65 107
LCM-MVSNet66.00 32662.16 33077.51 33564.51 36558.29 34983.87 33990.90 29848.17 35654.69 35373.31 35116.83 36886.75 35065.47 31961.67 35187.48 344
MCST-MVS94.45 1494.20 2195.19 798.46 1287.50 995.00 9297.12 2987.13 9392.51 5496.30 5689.24 799.34 2493.46 1498.62 3298.73 4
mvs_anonymous89.37 12189.32 10289.51 22693.47 19274.22 29191.65 26594.83 19582.91 20185.45 18293.79 14481.23 8196.36 25986.47 11194.09 11397.94 56
MVS_Test91.31 7491.11 6991.93 11894.37 16180.14 17593.46 20795.80 12286.46 11091.35 7793.77 14682.21 6798.09 13287.57 9394.95 9897.55 75
MDA-MVSNet-bldmvs78.85 31076.31 31186.46 30289.76 31073.88 29688.79 30290.42 30579.16 25959.18 35188.33 29560.20 31194.04 31862.00 33168.96 34291.48 302
CDPH-MVS92.83 5492.30 5694.44 3797.79 3686.11 4494.06 17396.66 6580.09 25192.77 4496.63 4486.62 2599.04 5087.40 9598.66 2898.17 39
test1294.34 4297.13 5686.15 4296.29 8591.04 8185.08 4299.01 5698.13 4797.86 62
casdiffmvs91.72 6791.26 6693.10 6994.66 15083.75 8594.77 10896.00 10683.98 16290.74 8393.96 13482.08 7098.19 11491.47 5293.68 11997.36 78
diffmvs90.50 9290.33 8191.02 15393.04 20578.59 22892.85 23395.07 18287.32 8988.32 11293.34 15180.46 8597.40 18788.50 8094.06 11497.07 93
casdiffmvs192.43 5892.18 5893.17 6695.33 11883.03 10495.08 8596.41 7883.18 18693.20 3694.49 11583.84 5598.29 10892.16 3495.96 8298.20 37
diffmvs191.33 7391.22 6891.68 13093.43 19479.77 18793.02 22695.50 14687.72 8090.47 8693.87 14281.76 7797.52 16289.84 6995.36 9497.74 68
YYNet179.22 30877.20 30885.28 31388.20 32772.66 30885.87 32590.05 31574.33 30662.70 34987.61 30566.09 28092.03 33466.94 30772.97 32491.15 307
PMMVS259.60 33156.40 33369.21 34468.83 35946.58 36173.02 35877.48 36455.07 35449.21 35672.95 35217.43 36780.04 35949.32 34844.33 35680.99 352
MDA-MVSNet_test_wron79.21 30977.19 30985.29 31288.22 32672.77 30685.87 32590.06 31374.34 30562.62 35087.56 30666.14 27991.99 33566.90 31073.01 32391.10 310
tpmvs83.35 27582.07 27287.20 29391.07 27271.00 32288.31 30991.70 27178.91 26080.49 27687.18 31069.30 23297.08 21568.12 30483.56 25293.51 252
PM-MVS78.11 31176.12 31384.09 32283.54 34470.08 32888.97 30185.27 35179.93 25274.73 32186.43 31534.70 35693.48 32379.43 21472.06 32788.72 336
HQP_MVS90.60 9090.19 8491.82 12594.70 14882.73 11695.85 4596.22 9090.81 1886.91 14294.86 10174.23 16498.12 11988.15 8489.99 17494.63 181
plane_prior794.70 14882.74 115
plane_prior694.52 15582.75 11374.23 164
plane_prior596.22 9098.12 11988.15 8489.99 17494.63 181
plane_prior494.86 101
plane_prior382.75 11390.26 2586.91 142
plane_prior295.85 4590.81 18
plane_prior194.59 153
plane_prior82.73 11695.21 7889.66 3589.88 178
PS-CasMVS87.32 19186.88 16288.63 25192.99 20976.33 28195.33 6396.61 6988.22 6983.30 24293.07 16673.03 18495.79 28178.36 22381.00 28893.75 232
UniMVSNet_NR-MVSNet89.92 10489.29 10391.81 12793.39 19583.72 8694.43 13497.12 2989.80 3186.46 14993.32 15483.16 5797.23 20584.92 12181.02 28694.49 194
PEN-MVS86.80 20486.27 19188.40 26492.32 22075.71 28595.18 7996.38 8287.97 7282.82 24693.15 16273.39 18095.92 27476.15 24579.03 30993.59 247
TransMVSNet (Re)84.43 26483.06 26588.54 26091.72 23278.44 23995.18 7992.82 24482.73 20579.67 28492.12 19973.49 17795.96 27371.10 27868.73 34491.21 306
DTE-MVSNet86.11 21885.48 21187.98 27491.65 23674.92 28894.93 9695.75 12687.36 8882.26 25193.04 16772.85 18595.82 27974.04 26177.46 31593.20 259
DU-MVS89.34 12288.50 12091.85 12393.04 20583.72 8694.47 13196.59 7089.50 3686.46 14993.29 15777.25 11797.23 20584.92 12181.02 28694.59 185
UniMVSNet (Re)89.80 10689.07 10892.01 11293.60 18984.52 6594.78 10797.47 689.26 4186.44 15292.32 19082.10 6997.39 19184.81 12480.84 29094.12 206
CP-MVSNet87.63 17487.26 15088.74 24893.12 20276.59 27895.29 6896.58 7288.43 6283.49 23992.98 17275.28 15195.83 27878.97 21881.15 28393.79 226
WR-MVS_H87.80 16587.37 14689.10 24393.23 19978.12 24895.61 5797.30 1887.90 7583.72 23192.01 20779.65 9996.01 27176.36 24180.54 29493.16 261
WR-MVS88.38 14287.67 14090.52 17293.30 19880.18 17393.26 21695.96 10988.57 6085.47 18192.81 17876.12 12896.91 22881.24 17782.29 26394.47 197
NR-MVSNet88.58 14087.47 14491.93 11893.04 20584.16 7894.77 10896.25 8889.05 4680.04 28293.29 15779.02 10197.05 21881.71 17380.05 30094.59 185
Baseline_NR-MVSNet87.07 20086.63 18288.40 26491.44 24077.87 25594.23 15192.57 25084.12 16085.74 16792.08 20377.25 11796.04 26882.29 16279.94 30391.30 305
TranMVSNet+NR-MVSNet88.84 13287.95 13591.49 13592.68 21583.01 10794.92 9796.31 8489.88 3085.53 17693.85 14376.63 12496.96 22481.91 16979.87 30594.50 192
TSAR-MVS + GP.93.66 3793.41 3894.41 4096.59 6786.78 2094.40 13693.93 22789.77 3294.21 1795.59 8387.35 1898.61 8792.72 2396.15 8197.83 64
abl_693.18 5193.05 4493.57 6097.52 4184.27 7695.53 6096.67 6487.85 7793.20 3697.22 1880.35 8699.18 3591.91 4397.21 6397.26 82
n20.00 376
nn0.00 376
mPP-MVS93.99 3093.78 3294.63 3198.50 985.90 4996.87 1696.91 4488.70 5591.83 6897.17 2383.96 5399.55 891.44 5398.64 3198.43 20
door-mid85.49 349
DI_MVS_plusplus_test88.15 15086.82 16592.14 11090.67 29081.07 15393.01 22794.59 20183.83 16777.78 29590.63 25768.51 24998.16 11688.02 8894.37 11197.17 88
XVG-OURS-SEG-HR89.95 10289.45 9891.47 13694.00 17581.21 15091.87 25896.06 10385.78 12188.55 10795.73 7974.67 16097.27 19988.71 7889.64 18295.91 130
DWT-MVSNet_test84.95 25083.68 25188.77 24691.43 24373.75 29791.74 26190.98 29680.66 24683.84 22887.36 30762.44 29597.11 21378.84 22085.81 23095.46 146
MVSFormer91.68 6991.30 6492.80 8293.86 18083.88 8295.96 4195.90 11484.66 14891.76 6994.91 9877.92 11397.30 19589.64 7197.11 6497.24 83
jason90.80 8190.10 8692.90 7993.04 20583.53 9293.08 22394.15 21480.22 24891.41 7694.91 9876.87 11997.93 14390.28 6796.90 6797.24 83
jason: jason.
lupinMVS90.92 8090.21 8393.03 7493.86 18083.88 8292.81 23493.86 22879.84 25391.76 6994.29 12177.92 11398.04 13690.48 6697.11 6497.17 88
test_djsdf89.03 12888.64 11790.21 18790.74 28779.28 21395.96 4195.90 11484.66 14885.33 19492.94 17374.02 17097.30 19589.64 7188.53 20394.05 212
Test485.75 23183.72 24991.83 12488.08 32881.03 15592.48 24395.54 14183.38 18173.40 32888.57 29050.99 33897.37 19286.61 11094.47 10897.09 92
HPM-MVS_fast93.40 4393.22 4193.94 5098.36 1984.83 5997.15 796.80 5285.77 12292.47 5597.13 2582.38 6399.07 4590.51 6598.40 3997.92 60
PatchFormer-LS_test86.02 22185.13 21788.70 24991.52 23774.12 29491.19 27392.09 25982.71 20684.30 22287.24 30970.87 20896.98 22281.04 17985.17 23795.00 157
testpf71.41 32372.11 32169.30 34384.53 34159.79 34762.74 36083.14 35471.11 33068.83 34181.57 34146.70 34684.83 35674.51 26075.86 31963.30 356
K. test v381.59 28980.15 28985.91 30889.89 30969.42 33192.57 24187.71 34385.56 12873.44 32789.71 27555.58 32595.52 28877.17 23669.76 34092.78 274
lessismore_v086.04 30688.46 32268.78 33380.59 35973.01 33090.11 26955.39 32796.43 25675.06 25465.06 34692.90 268
SixPastTwentyTwo83.91 26882.90 26786.92 29790.99 27470.67 32493.48 20591.99 26485.54 12977.62 29892.11 20160.59 30996.87 23076.05 24677.75 31293.20 259
OurMVSNet-221017-085.35 24084.64 23287.49 28490.77 28572.59 31094.01 17794.40 20684.72 14779.62 28693.17 16161.91 29996.72 23981.99 16781.16 28193.16 261
HPM-MVScopyleft94.02 2993.88 2994.43 3998.39 1785.78 5197.25 597.07 3386.90 10492.62 5196.80 3784.85 4799.17 3692.43 2698.65 3098.33 24
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
XVG-OURS89.40 12088.70 11691.52 13494.06 16981.46 14291.27 27196.07 10186.14 11788.89 10595.77 7868.73 24697.26 20187.39 9689.96 17695.83 135
XVG-ACMP-BASELINE86.00 22284.84 22789.45 22891.20 26578.00 25091.70 26395.55 13985.05 14182.97 24492.25 19654.49 33197.48 16582.93 14987.45 21992.89 269
LPG-MVS_test89.45 11588.90 11391.12 14594.47 15781.49 14095.30 6696.14 9586.73 10685.45 18295.16 9369.89 22298.10 12587.70 9189.23 18993.77 230
LGP-MVS_train91.12 14594.47 15781.49 14096.14 9586.73 10685.45 18295.16 9369.89 22298.10 12587.70 9189.23 18993.77 230
test1196.57 73
door85.33 350
EPNet_dtu86.49 21485.94 20288.14 27290.24 30172.82 30494.11 16292.20 25686.66 10879.42 28792.36 18973.52 17695.81 28071.26 27493.66 12095.80 137
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x268888.84 13287.69 13992.30 10496.14 8381.42 14490.01 28495.86 11874.52 30487.41 13493.94 13575.46 14998.36 10180.36 19395.53 8797.12 91
EPNet91.79 6391.02 7294.10 4790.10 30385.25 5696.03 3892.05 26192.83 187.39 13695.78 7779.39 10099.01 5688.13 8697.48 6098.05 49
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS81.56 136
HQP-NCC94.17 16694.39 13888.81 5185.43 185
ACMP_Plane94.17 16694.39 13888.81 5185.43 185
APD-MVScopyleft94.24 2394.07 2594.75 2798.06 3186.90 1695.88 4496.94 4285.68 12595.05 1397.18 2287.31 1999.07 4591.90 4698.61 3398.28 29
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS87.11 102
HQP4-MVS85.43 18597.96 14094.51 191
HQP3-MVS96.04 10489.77 180
HQP2-MVS73.83 173
LP75.51 31672.15 32085.61 31087.86 33173.93 29580.20 34988.43 33967.39 33970.05 33780.56 34358.18 32093.18 32846.28 35370.36 33989.71 328
CNVR-MVS95.40 395.37 495.50 498.11 2888.51 395.29 6896.96 4092.09 395.32 1197.08 2689.49 599.33 2795.10 298.85 898.66 6
NCCC94.81 1094.69 1195.17 897.83 3587.46 1095.66 5496.93 4392.34 293.94 2296.58 4787.74 1499.44 2192.83 2298.40 3998.62 7
114514_t89.51 11288.50 12092.54 9398.11 2881.99 13195.16 8196.36 8370.19 33485.81 16195.25 9076.70 12298.63 8582.07 16596.86 6997.00 98
CP-MVS94.34 1994.21 2094.74 2898.39 1786.64 2797.60 197.24 2188.53 6192.73 4797.23 1785.20 4199.32 2892.15 3598.83 1098.25 35
DSMNet-mixed76.94 31376.29 31278.89 32983.10 34556.11 35587.78 31379.77 36060.65 35175.64 31788.71 28761.56 30188.34 34560.07 33789.29 18892.21 290
tpm284.08 26682.94 26687.48 28591.39 24671.27 31789.23 29790.37 30671.95 32584.64 20889.33 27967.30 26296.55 24975.17 25287.09 22494.63 181
NP-MVS94.37 16182.42 12393.98 132
EG-PatchMatch MVS82.37 28280.34 28588.46 26290.27 29979.35 20892.80 23594.33 20977.14 28173.26 32990.18 26847.47 34596.72 23970.25 28087.32 22289.30 329
tpm cat181.96 28380.27 28687.01 29591.09 27171.02 32187.38 31791.53 28066.25 34380.17 27886.35 32168.22 26196.15 26669.16 29482.29 26393.86 223
SteuartSystems-ACMMP95.20 595.32 694.85 1896.99 5886.33 3697.33 397.30 1891.38 1295.39 1097.46 1088.98 999.40 2294.12 998.89 798.82 3
Skip Steuart: Steuart Systems R&D Blog.
tpmp4_e2383.87 27082.33 27188.48 26191.46 23972.82 30489.82 28791.57 27873.02 31781.86 26089.05 28166.20 27796.97 22371.57 27386.39 22795.66 141
CostFormer85.77 23084.94 22388.26 26891.16 27072.58 31189.47 29391.04 29576.26 28886.45 15189.97 27170.74 21196.86 23182.35 16087.07 22595.34 151
CR-MVSNet85.35 24083.76 24690.12 19590.58 29279.34 20985.24 33091.96 26778.27 27185.55 17487.87 30371.03 20695.61 28473.96 26389.36 18695.40 148
JIA-IIPM81.04 29678.98 30287.25 28988.64 31973.48 29981.75 34689.61 32473.19 31482.05 25673.71 35066.07 28195.87 27771.18 27784.60 24192.41 283
Patchmtry82.71 27880.93 28188.06 27390.05 30576.37 28084.74 33291.96 26772.28 32381.32 26687.87 30371.03 20695.50 29168.97 29580.15 29992.32 287
PatchT82.68 27981.27 27786.89 29990.09 30470.94 32384.06 33790.15 31074.91 30085.63 17383.57 33269.37 22894.87 31265.19 32088.50 20594.84 171
tpmrst85.35 24084.99 21986.43 30390.88 28367.88 33588.71 30391.43 28380.13 25086.08 15988.80 28673.05 18396.02 27082.48 15783.40 25695.40 148
BH-w/o87.57 18487.05 15989.12 24194.90 14077.90 25392.41 24593.51 23482.89 20283.70 23291.34 23475.75 14597.07 21675.49 24893.49 12492.39 284
tpm84.73 25884.02 24286.87 30090.33 29868.90 33289.06 29989.94 31680.85 24585.75 16589.86 27368.54 24895.97 27277.76 22984.05 24695.75 139
DELS-MVS93.43 4293.25 4093.97 4895.42 11485.04 5793.06 22597.13 2890.74 2091.84 6695.09 9686.32 2899.21 3391.22 5598.45 3897.65 69
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-untuned88.60 13988.13 13290.01 20695.24 12978.50 23893.29 21494.15 21484.75 14684.46 21393.40 15075.76 14497.40 18777.59 23194.52 10694.12 206
RPMNet83.18 27680.87 28290.12 19590.58 29279.34 20985.24 33090.78 30271.44 32785.55 17482.97 33570.87 20895.61 28461.01 33489.36 18695.40 148
no-one61.56 33056.58 33276.49 33667.80 36362.76 34578.13 35286.11 34763.16 34943.24 35864.70 35626.12 36088.95 34450.84 34629.15 35877.77 353
MVSTER88.84 13288.29 12890.51 17392.95 21080.44 17293.73 19395.01 18384.66 14887.15 13793.12 16472.79 18697.21 20787.86 8987.36 22093.87 221
CPTT-MVS91.99 6191.80 6092.55 9298.24 2581.98 13296.76 1996.49 7481.89 22390.24 8996.44 5378.59 10698.61 8789.68 7097.85 5497.06 94
GBi-Net87.26 19285.98 20091.08 14994.01 17283.10 10195.14 8294.94 18683.57 17384.37 21691.64 21666.59 27296.34 26078.23 22585.36 23493.79 226
PVSNet_Blended_VisFu91.38 7290.91 7492.80 8296.39 7483.17 10094.87 10196.66 6583.29 18389.27 9994.46 11680.29 8899.17 3687.57 9395.37 9296.05 127
PVSNet_BlendedMVS89.98 10089.70 9490.82 16096.12 8481.25 14793.92 18196.83 4983.49 17789.10 10192.26 19581.04 8298.85 7486.72 10887.86 21592.35 286
UnsupCasMVSNet_eth80.07 30278.27 30485.46 31185.24 33872.63 30988.45 30894.87 19282.99 19871.64 33688.07 29956.34 32491.75 33773.48 26663.36 35092.01 292
UnsupCasMVSNet_bld76.23 31573.27 31785.09 31583.79 34372.92 30285.65 32993.47 23571.52 32668.84 34079.08 34649.77 33993.21 32666.81 31160.52 35289.13 334
PVSNet_Blended90.73 8390.32 8291.98 11596.12 8481.25 14792.55 24296.83 4982.04 21789.10 10192.56 18481.04 8298.85 7486.72 10895.91 8395.84 134
FMVSNet581.52 29179.60 29587.27 28791.17 26877.95 25191.49 26792.26 25576.87 28276.16 31087.91 30251.67 33692.34 33267.74 30581.16 28191.52 300
test187.26 19285.98 20091.08 14994.01 17283.10 10195.14 8294.94 18683.57 17384.37 21691.64 21666.59 27296.34 26078.23 22585.36 23493.79 226
new_pmnet72.15 32170.13 32378.20 33082.95 34665.68 33983.91 33882.40 35662.94 35064.47 34779.82 34542.85 35086.26 35157.41 34174.44 32282.65 349
FMVSNet387.40 18986.11 19591.30 14193.79 18583.64 8994.20 15894.81 19683.89 16484.37 21691.87 21268.45 25296.56 24778.23 22585.36 23493.70 235
dp81.47 29280.23 28785.17 31489.92 30865.49 34186.74 31990.10 31276.30 28781.10 26787.12 31162.81 29395.92 27468.13 30379.88 30494.09 209
FMVSNet287.19 19885.82 20491.30 14194.01 17283.67 8894.79 10694.94 18683.57 17383.88 22792.05 20666.59 27296.51 25077.56 23285.01 23893.73 233
FMVSNet185.85 22584.11 24191.08 14992.81 21283.10 10195.14 8294.94 18681.64 23482.68 24791.64 21659.01 31796.34 26075.37 25083.78 24793.79 226
N_pmnet68.89 32568.44 32670.23 34189.07 31628.79 37088.06 31019.50 37269.47 33671.86 33584.93 32761.24 30591.75 33754.70 34277.15 31690.15 325
cascas86.43 21584.98 22090.80 16192.10 22480.92 15990.24 28095.91 11373.10 31583.57 23788.39 29365.15 28497.46 16784.90 12391.43 15194.03 213
BH-RMVSNet88.37 14387.48 14391.02 15395.28 12079.45 19992.89 23293.07 24085.45 13186.91 14294.84 10470.35 21897.76 14973.97 26294.59 10495.85 133
UGNet89.95 10288.95 11192.95 7794.51 15683.31 9795.70 5195.23 17289.37 3987.58 13293.94 13564.00 28998.78 7983.92 13896.31 8096.74 106
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-MVS89.60 10988.92 11291.67 13195.47 11381.15 15292.38 24794.78 19783.11 18789.06 10394.32 11978.67 10596.61 24681.57 17490.89 16597.24 83
XXY-MVS87.65 17086.85 16490.03 20492.14 22280.60 16893.76 19095.23 17282.94 19984.60 20994.02 13074.27 16395.49 29281.04 17983.68 25094.01 215
sss88.93 13188.26 13090.94 15994.05 17080.78 16391.71 26295.38 15981.55 23788.63 10693.91 13975.04 15595.47 29382.47 15891.61 15096.57 109
Test_1112_low_res87.65 17086.51 18591.08 14994.94 13779.28 21391.77 25994.30 21076.04 29083.51 23892.37 18877.86 11597.73 15378.69 22189.13 19796.22 117
1112_ss88.42 14187.33 14791.72 12894.92 13880.98 15692.97 23094.54 20278.16 27483.82 22993.88 14078.78 10397.91 14479.45 21289.41 18496.26 116
ab-mvs-re7.82 34810.43 3490.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 37193.88 1400.00 3760.00 3710.00 3680.00 3690.00 369
ab-mvs89.41 11888.35 12492.60 8995.15 13082.65 12092.20 25295.60 13683.97 16388.55 10793.70 14974.16 16898.21 11382.46 15989.37 18596.94 100
TR-MVS86.78 20585.76 20589.82 21194.37 16178.41 24092.47 24492.83 24381.11 24386.36 15392.40 18768.73 24697.48 16573.75 26589.85 17993.57 248
MDTV_nov1_ep13_2view55.91 35687.62 31673.32 31384.59 21070.33 21974.65 25795.50 144
MDTV_nov1_ep1383.56 25491.69 23569.93 32987.75 31491.54 27978.60 26784.86 20688.90 28469.54 22796.03 26970.25 28088.93 199
MIMVSNet179.38 30777.28 30785.69 30986.35 33573.67 29891.61 26692.75 24678.11 27572.64 33288.12 29848.16 34391.97 33660.32 33577.49 31491.43 303
MIMVSNet82.59 28080.53 28388.76 24791.51 23878.32 24286.57 32190.13 31179.32 25780.70 27288.69 28952.98 33593.07 33066.03 31888.86 20094.90 169
IterMVS-LS88.36 14487.91 13789.70 21993.80 18378.29 24493.73 19395.08 18185.73 12384.75 20791.90 21179.88 9196.92 22783.83 13982.51 26193.89 218
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet89.45 11588.51 11992.29 10593.62 18883.61 9193.01 22794.68 19981.95 21987.82 12893.24 15978.69 10496.99 22180.34 19493.23 13296.28 115
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
ACMMP++_ref87.47 217
IterMVS84.88 25283.98 24487.60 28091.44 24076.03 28390.18 28292.41 25283.24 18581.06 26990.42 26566.60 27194.28 31679.46 21180.98 28992.48 280
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS Recon91.95 6291.28 6593.96 4998.33 2185.92 4694.66 11996.66 6582.69 20790.03 9395.82 7682.30 6599.03 5184.57 12796.48 7896.91 101
MVS_111021_LR92.47 5792.29 5792.98 7695.99 9484.43 7393.08 22396.09 9988.20 7091.12 8095.72 8081.33 8097.76 14991.74 4797.37 6296.75 105
DP-MVS87.25 19485.36 21492.90 7997.65 3783.24 9894.81 10592.00 26374.99 29981.92 25995.00 9772.66 18899.05 4766.92 30992.33 14696.40 111
ACMMP++88.01 214
HQP-MVS89.80 10689.28 10491.34 14094.17 16681.56 13694.39 13896.04 10488.81 5185.43 18593.97 13373.83 17397.96 14087.11 10289.77 18094.50 192
QAPM89.51 11288.15 13193.59 5994.92 13884.58 6396.82 1896.70 6178.43 26983.41 24096.19 6473.18 18299.30 3077.11 23796.54 7696.89 102
Vis-MVSNetpermissive91.75 6591.23 6793.29 6195.32 11983.78 8496.14 3395.98 10789.89 2990.45 8796.58 4775.09 15498.31 10784.75 12596.90 6797.78 67
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet73.70 31972.20 31978.18 33291.81 23056.42 35482.94 34482.58 35555.24 35368.88 33966.48 35455.32 32895.13 30658.12 33988.42 20883.01 348
IS-MVSNet91.43 7191.09 7192.46 9695.87 9981.38 14596.95 993.69 23289.72 3489.50 9795.98 7078.57 10797.77 14883.02 14896.50 7798.22 36
HyFIR lowres test88.09 15286.81 16691.93 11896.00 9380.63 16690.01 28495.79 12373.42 31287.68 13192.10 20273.86 17297.96 14080.75 18591.70 14997.19 87
EPMVS83.90 26982.70 27087.51 28290.23 30272.67 30788.62 30581.96 35781.37 24185.01 19888.34 29466.31 27594.45 31375.30 25187.12 22395.43 147
PAPM_NR91.22 7690.78 7792.52 9497.60 3881.46 14294.37 14296.24 8986.39 11287.41 13494.80 10582.06 7298.48 9382.80 15395.37 9297.61 71
TAMVS89.21 12388.29 12891.96 11693.71 18682.62 12193.30 21394.19 21282.22 21287.78 12993.94 13578.83 10296.95 22577.70 23092.98 13796.32 113
PAPR90.02 9989.27 10592.29 10595.78 10080.95 15892.68 23796.22 9081.91 22186.66 14793.75 14882.23 6698.44 9879.40 21694.79 9997.48 76
RPSCF85.07 24584.27 23987.48 28592.91 21170.62 32591.69 26492.46 25176.20 28982.67 24895.22 9163.94 29097.29 19877.51 23385.80 23194.53 189
Vis-MVSNet (Re-imp)89.59 11089.44 9990.03 20495.74 10175.85 28495.61 5790.80 30187.66 8587.83 12795.40 8776.79 12196.46 25478.37 22296.73 7097.80 65
test_040281.30 29579.17 29987.67 27993.19 20078.17 24792.98 22991.71 27075.25 29676.02 31490.31 26659.23 31696.37 25850.22 34783.63 25188.47 341
MVS_111021_HR93.45 4093.31 3993.84 5296.99 5884.84 5893.24 21897.24 2188.76 5491.60 7295.85 7586.07 3198.66 8291.91 4398.16 4698.03 51
CSCG93.23 5093.05 4493.76 5798.04 3284.07 7996.22 3097.37 1184.15 15990.05 9295.66 8187.77 1399.15 3989.91 6898.27 4398.07 47
PatchMatch-RL86.77 20785.54 20790.47 17695.88 9782.71 11890.54 27792.31 25379.82 25484.32 22091.57 22368.77 24596.39 25773.16 26793.48 12692.32 287
API-MVS90.66 8690.07 8792.45 9796.36 7584.57 6496.06 3795.22 17482.39 20989.13 10094.27 12480.32 8798.46 9580.16 19896.71 7194.33 199
Test By Simon80.02 90
TDRefinement79.81 30477.34 30687.22 29279.24 35375.48 28793.12 22092.03 26276.45 28475.01 31991.58 22149.19 34296.44 25570.22 28269.18 34189.75 327
USDC82.76 27781.26 27887.26 28891.17 26874.55 28989.27 29593.39 23678.26 27275.30 31892.08 20354.43 33296.63 24371.64 27285.79 23290.61 321
EPP-MVSNet91.70 6891.56 6292.13 11195.88 9780.50 17197.33 395.25 16886.15 11689.76 9495.60 8283.42 5698.32 10687.37 9793.25 13197.56 74
PMMVS85.71 23684.96 22287.95 27588.90 31877.09 27388.68 30490.06 31372.32 32286.47 14890.76 25572.15 19594.40 31481.78 17293.49 12492.36 285
PAPM86.68 20885.39 21390.53 16693.05 20479.33 21289.79 28894.77 19878.82 26381.95 25893.24 15976.81 12097.30 19566.94 30793.16 13394.95 168
ACMMPcopyleft93.24 4992.88 5094.30 4398.09 3085.33 5596.86 1797.45 788.33 6490.15 9197.03 2781.44 7899.51 1590.85 6295.74 8598.04 50
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
CNLPA89.07 12687.98 13492.34 10296.87 6084.78 6094.08 16893.24 23781.41 24084.46 21395.13 9575.57 14796.62 24477.21 23593.84 11895.61 143
PatchmatchNetpermissive85.85 22584.70 23089.29 23791.76 23175.54 28688.49 30691.30 28581.63 23585.05 19788.70 28871.71 19696.24 26374.61 25889.05 19896.08 124
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS93.89 3393.65 3594.62 3296.84 6186.43 3396.69 2197.49 585.15 13893.56 3196.28 5785.60 3599.31 2992.45 2598.79 1198.12 44
F-COLMAP87.95 15886.80 16791.40 13896.35 7680.88 16094.73 11095.45 15379.65 25682.04 25794.61 11171.13 20498.50 9276.24 24491.05 15994.80 174
ANet_high58.88 33254.22 33572.86 33956.50 36956.67 35380.75 34886.00 34873.09 31637.39 36064.63 35722.17 36379.49 36143.51 35623.96 36282.43 350
PNet_i23d50.48 33747.18 33860.36 34868.59 36144.56 36572.75 35972.61 36543.92 35833.91 36260.19 3596.16 36973.52 36238.50 35928.04 35963.01 357
wuyk23d21.27 34520.48 34623.63 35668.59 36136.41 36849.57 3646.85 3739.37 3657.89 3684.46 3704.03 37231.37 36717.47 36516.07 3653.12 365
OMC-MVS91.23 7590.62 7893.08 7196.27 7784.07 7993.52 20495.93 11086.95 10189.51 9696.13 6778.50 10898.35 10385.84 11492.90 13896.83 103
MG-MVS91.77 6491.70 6192.00 11497.08 5780.03 18193.60 20295.18 17587.85 7790.89 8296.47 5282.06 7298.36 10185.07 11997.04 6697.62 70
wuykxyi23d50.55 33644.13 33969.81 34256.77 36754.58 35773.22 35780.78 35839.79 36122.08 36746.69 3634.03 37279.71 36047.65 35026.13 36075.14 354
AdaColmapbinary89.89 10589.07 10892.37 10197.41 4583.03 10494.42 13595.92 11182.81 20386.34 15494.65 11073.89 17199.02 5480.69 18695.51 8895.05 155
uanet0.00 3500.00 3510.00 3590.00 3740.00 3740.00 3650.00 3760.00 3690.00 3710.00 3710.00 3760.00 3710.00 3680.00 3690.00 369
ITE_SJBPF88.24 26991.88 22777.05 27492.92 24185.54 12980.13 28193.30 15657.29 32296.20 26472.46 27084.71 24091.49 301
DeepMVS_CXcopyleft56.31 35074.23 35651.81 35956.67 37044.85 35748.54 35775.16 34827.87 35958.74 36640.92 35752.22 35458.39 360
TinyColmap79.76 30577.69 30585.97 30791.71 23373.12 30189.55 28990.36 30775.03 29872.03 33490.19 26746.22 34796.19 26563.11 32881.03 28588.59 338
MAR-MVS90.30 9489.37 10193.07 7396.61 6684.48 6895.68 5295.67 13082.36 21187.85 12292.85 17476.63 12498.80 7880.01 19996.68 7295.91 130
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
LF4IMVS80.37 30179.07 30184.27 32186.64 33469.87 33089.39 29491.05 29476.38 28574.97 32090.00 27047.85 34494.25 31774.55 25980.82 29188.69 337
MSDG84.86 25383.09 26490.14 19493.80 18380.05 17989.18 29893.09 23978.89 26178.19 29191.91 21065.86 28297.27 19968.47 29888.45 20693.11 264
LS3D87.89 15986.32 18992.59 9096.07 9182.92 11095.23 7694.92 19075.66 29282.89 24595.98 7072.48 19299.21 3368.43 30095.23 9795.64 142
CLD-MVS89.47 11488.90 11391.18 14494.22 16582.07 13092.13 25496.09 9987.90 7585.37 19292.45 18674.38 16297.56 15987.15 10090.43 16793.93 216
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS64.63 32962.55 32970.88 34070.80 35856.71 35284.42 33484.42 35251.78 35549.57 35581.61 34023.49 36281.48 35840.61 35876.25 31874.46 355
Gipumacopyleft57.99 33354.91 33467.24 34688.51 32065.59 34052.21 36390.33 30843.58 35942.84 35951.18 36120.29 36585.07 35534.77 36070.45 33851.05 361
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015