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-MVS89.82 194.61 1896.17 589.91 19397.09 10470.21 32198.99 1496.69 6895.57 195.08 3299.23 186.40 2999.87 897.84 1198.66 3499.65 6
DeepC-MVS_fast89.06 294.48 2094.30 2895.02 1998.86 2385.68 4498.06 4596.64 7793.64 891.74 7998.54 2280.17 7599.90 592.28 7898.75 3099.49 8
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS86.58 391.53 8391.06 8692.94 9294.52 16281.89 12495.95 19495.98 14190.76 2683.76 17596.76 11873.24 18199.71 3791.67 8496.96 9397.22 147
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
IB-MVS85.34 488.67 14087.14 15993.26 7693.12 20284.32 7398.76 1697.27 1887.19 9079.36 22290.45 22983.92 4398.53 13084.41 15369.79 29696.93 154
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
PCF-MVS84.09 586.77 17785.00 18692.08 12492.06 23583.07 10092.14 29294.47 22579.63 24676.90 24494.78 16671.15 20099.20 8972.87 26191.05 15893.98 218
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
HY-MVS84.06 691.63 8090.37 9695.39 1696.12 11888.25 1490.22 30897.58 1488.33 6490.50 10091.96 20679.26 8399.06 10290.29 10489.07 16998.88 32
PLCcopyleft83.97 788.00 15887.38 15289.83 19698.02 7076.46 25897.16 11194.43 22879.26 25581.98 19696.28 12669.36 21299.27 7877.71 21692.25 15093.77 221
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
3Dnovator+82.88 889.63 12087.85 13794.99 2094.49 16686.76 2997.84 5695.74 15486.10 10475.47 26996.02 13165.00 23999.51 6182.91 17897.07 9098.72 41
PVSNet82.34 989.02 12987.79 13992.71 10295.49 13381.50 13797.70 6997.29 1787.76 7685.47 15395.12 15956.90 29398.90 11580.33 19094.02 12997.71 117
3Dnovator82.32 1089.33 12487.64 14294.42 3393.73 18385.70 4397.73 6796.75 5986.73 9976.21 25795.93 13262.17 25399.68 4381.67 18397.81 6997.88 102
ACMP81.66 1184.00 21683.22 21286.33 26391.53 24872.95 29995.91 19893.79 26083.70 17273.79 27992.22 20254.31 31296.89 20583.98 15779.74 23889.16 270
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
TAPA-MVS81.61 1285.02 20083.67 20389.06 20796.79 10673.27 29695.92 19694.79 20774.81 29880.47 21096.83 11471.07 20198.19 14349.82 35592.57 14495.71 189
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
ACMM80.70 1383.72 22182.85 21686.31 26691.19 25172.12 30495.88 19994.29 23380.44 22777.02 24291.96 20655.24 30597.14 19479.30 20380.38 23489.67 258
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
OpenMVScopyleft79.58 1486.09 18583.62 20693.50 6890.95 25586.71 3097.44 8895.83 15075.35 29272.64 29195.72 13657.42 29099.64 4771.41 27095.85 11294.13 216
PVSNet_077.72 1581.70 25278.95 26689.94 19290.77 26176.72 25695.96 19396.95 3685.01 13270.24 30788.53 25552.32 31398.20 14286.68 14044.08 36594.89 202
ACMH+76.62 1677.47 29074.94 29285.05 28291.07 25471.58 31393.26 27690.01 33171.80 32164.76 33088.55 25341.62 34696.48 22162.35 31571.00 28387.09 316
ACMH75.40 1777.99 28474.96 29187.10 25490.67 26276.41 25993.19 27991.64 31272.47 31863.44 33587.61 26743.34 33997.16 19158.34 32873.94 26887.72 302
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LTVRE_ROB73.68 1877.99 28475.74 28884.74 28590.45 26572.02 30586.41 33691.12 31872.57 31766.63 32287.27 27054.95 30896.98 20056.29 33875.98 25985.21 336
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
COLMAP_ROBcopyleft73.24 1975.74 30173.00 30783.94 29892.38 21769.08 33091.85 29686.93 34961.48 35165.32 32890.27 23242.27 34496.93 20450.91 35275.63 26285.80 333
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
OpenMVS_ROBcopyleft68.52 2073.02 31369.57 31983.37 30880.54 34971.82 30993.60 26588.22 34562.37 34661.98 34283.15 32535.31 35895.47 26945.08 36275.88 26082.82 348
CMPMVSbinary54.94 2175.71 30274.56 29779.17 33179.69 35155.98 36289.59 31093.30 28560.28 35553.85 35989.07 24547.68 32996.33 22676.55 22881.02 23185.22 335
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVEpermissive35.65 2233.85 33929.49 34446.92 35441.86 37836.28 37650.45 36956.52 37818.75 37318.28 37237.84 3692.41 38058.41 37318.71 37120.62 37046.06 368
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMVScopyleft34.80 2339.19 33835.53 34150.18 35329.72 38030.30 37759.60 36866.20 37626.06 36917.91 37349.53 3673.12 37974.09 37018.19 37249.40 35746.14 367
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
patch_mono-295.14 1296.08 792.33 11698.44 4877.84 23598.43 2697.21 2092.58 1197.68 897.65 7786.88 2499.83 1698.25 397.60 7399.33 17
EGC-MVSNET52.46 33347.56 33667.15 34481.98 34460.11 35682.54 34672.44 3720.11 3780.70 37974.59 35125.11 36783.26 36429.04 36861.51 34258.09 366
test250690.96 9590.39 9492.65 10593.54 18782.46 11196.37 17297.35 1686.78 9787.55 13695.25 14877.83 10597.50 17284.07 15694.80 12297.98 95
test111188.11 15587.04 16191.35 14793.15 19978.79 20496.57 15690.78 32686.88 9585.04 15695.20 15257.23 29297.39 17883.88 15894.59 12497.87 104
ECVR-MVScopyleft88.35 15087.25 15491.65 13993.54 18779.40 18696.56 15890.78 32686.78 9785.57 15295.25 14857.25 29197.56 16484.73 15294.80 12297.98 95
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DVP-MVS++96.05 496.41 394.96 2199.05 1085.34 4998.13 3996.77 5588.38 6197.70 698.77 1292.06 399.84 1297.47 1499.37 199.70 3
FOURS198.51 4478.01 22798.13 3996.21 12783.04 18494.39 46
MSC_two_6792asdad97.14 399.05 1092.19 496.83 4599.81 2198.08 798.81 2599.43 11
PC_three_145291.12 2298.33 298.42 2892.51 299.81 2198.96 299.37 199.70 3
No_MVS97.14 399.05 1092.19 496.83 4599.81 2198.08 798.81 2599.43 11
test_one_060198.91 2084.56 7196.70 6588.06 6896.57 1698.77 1288.04 19
eth-test20.00 384
eth-test0.00 384
GeoE86.36 18185.20 18089.83 19693.17 19876.13 26397.53 8192.11 30479.58 24780.99 20494.01 18366.60 22996.17 23373.48 25989.30 16797.20 148
test_method56.77 33054.53 33363.49 34976.49 36140.70 37475.68 35974.24 37119.47 37248.73 36171.89 35919.31 36965.80 37257.46 33347.51 36283.97 344
Anonymous2024052172.06 31869.91 31878.50 33277.11 36061.67 35391.62 30190.97 32365.52 34162.37 34079.05 34436.32 35490.96 34457.75 33168.52 30782.87 347
h-mvs3389.30 12588.95 12390.36 17595.07 14676.04 26596.96 13397.11 2590.39 3292.22 7195.10 16074.70 16298.86 11693.14 6765.89 32996.16 179
hse-mvs288.22 15488.21 13188.25 22793.54 18773.41 29195.41 21795.89 14690.39 3292.22 7194.22 17774.70 16296.66 21893.14 6764.37 33494.69 210
CL-MVSNet_self_test75.81 30074.14 30280.83 32478.33 35567.79 33494.22 25493.52 27377.28 28169.82 30881.54 33261.47 26289.22 35257.59 33253.51 35285.48 334
KD-MVS_2432*160077.63 28874.92 29385.77 27390.86 25879.44 18488.08 32293.92 25076.26 28767.05 31982.78 32672.15 19191.92 33461.53 31641.62 36685.94 330
KD-MVS_self_test70.97 32169.31 32175.95 34176.24 36555.39 36587.45 32790.94 32470.20 32862.96 33977.48 34844.01 33588.09 35561.25 32053.26 35384.37 341
AUN-MVS86.25 18485.57 17488.26 22693.57 18673.38 29295.45 21595.88 14783.94 16385.47 15394.21 17873.70 17796.67 21783.54 16964.41 33394.73 209
ZD-MVS99.09 983.22 9796.60 8382.88 18993.61 5698.06 5182.93 5399.14 9695.51 3598.49 42
test117291.64 7992.00 7190.54 17198.20 6274.48 28596.45 16595.65 15881.97 20591.63 8098.02 5275.76 14098.61 12493.16 6697.17 8798.52 50
SR-MVS-dyc-post91.29 8991.45 8090.80 16397.76 8076.03 26696.20 18495.44 17180.56 22490.72 9797.84 6575.76 14098.61 12491.99 8296.79 9997.75 113
RE-MVS-def91.18 8597.76 8076.03 26696.20 18495.44 17180.56 22490.72 9797.84 6573.36 18091.99 8296.79 9997.75 113
SED-MVS95.88 596.22 494.87 2299.03 1685.03 6199.12 696.78 4988.72 5497.79 498.91 388.48 1699.82 1898.15 498.97 1799.74 1
IU-MVS99.03 1685.34 4996.86 4492.05 1698.74 198.15 498.97 1799.42 13
OPU-MVS97.30 299.19 892.31 399.12 698.54 2292.06 399.84 1299.11 199.37 199.74 1
test_241102_TWO96.78 4988.72 5497.70 698.91 387.86 2099.82 1898.15 499.00 1599.47 9
test_241102_ONE99.03 1685.03 6196.78 4988.72 5497.79 498.90 688.48 1699.82 18
xxxxxxxxxxxxxcwj94.38 2294.62 1993.68 5898.24 5883.34 9398.61 2292.69 29991.32 1995.07 3398.74 1682.93 5399.38 6995.42 3698.51 3898.32 61
SF-MVS94.17 2794.05 3294.55 3097.56 8785.95 3597.73 6796.43 10584.02 16095.07 3398.74 1682.93 5399.38 6995.42 3698.51 3898.32 61
ETH3D cwj APD-0.1693.91 3793.76 3594.36 3496.70 10885.74 4197.22 10196.41 10783.94 16394.13 5198.69 2083.13 5199.37 7395.25 3998.39 5197.97 98
cl2285.11 19984.17 19887.92 23395.06 14878.82 20195.51 21294.22 23579.74 24476.77 24587.92 26375.96 13695.68 25779.93 19772.42 27789.27 267
miper_ehance_all_eth84.57 20883.60 20787.50 24492.64 21478.25 21895.40 21893.47 27479.28 25476.41 25187.64 26676.53 12695.24 28078.58 20972.42 27789.01 277
miper_enhance_ethall85.95 18785.20 18088.19 23094.85 15479.76 17596.00 19194.06 24682.98 18777.74 23588.76 25079.42 7995.46 27080.58 18872.42 27789.36 266
ZNCC-MVS92.75 5292.60 5993.23 7898.24 5881.82 12897.63 7296.50 9785.00 13391.05 9397.74 7078.38 9699.80 2490.48 9898.34 5598.07 84
ETH3 D test640095.56 995.41 1396.00 999.02 1989.42 998.75 1796.80 4887.28 8595.88 2398.95 285.92 3099.41 6797.15 1898.95 2099.18 25
dcpmvs_293.10 4693.46 4292.02 12897.77 7879.73 17994.82 23793.86 25486.91 9491.33 8896.76 11885.20 3298.06 14596.90 2097.60 7398.27 69
cl____83.27 22782.12 22686.74 25792.20 22675.95 27095.11 22993.27 28678.44 26974.82 27487.02 27674.19 16995.19 28274.67 24869.32 30089.09 272
DIV-MVS_self_test83.27 22782.12 22686.74 25792.19 22775.92 27195.11 22993.26 28778.44 26974.81 27587.08 27574.19 16995.19 28274.66 24969.30 30189.11 271
eth_miper_zixun_eth83.12 23182.01 22886.47 26291.85 24474.80 27994.33 24893.18 28979.11 25775.74 26787.25 27272.71 18495.32 27676.78 22667.13 32389.27 267
9.1494.26 2998.10 6698.14 3696.52 9484.74 13794.83 3898.80 982.80 5699.37 7395.95 2898.42 46
testtj94.09 3194.08 3194.09 4599.28 683.32 9597.59 7696.61 8083.60 17594.77 4098.46 2682.72 5799.64 4795.29 3898.42 4699.32 18
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
ETH3D-3000-0.194.43 2194.42 2494.45 3197.78 7785.78 4097.98 4996.53 9385.29 12595.45 2698.81 883.36 4799.38 6996.07 2598.53 3798.19 73
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
save fliter98.24 5883.34 9398.61 2296.57 8691.32 19
ET-MVSNet_ETH3D90.01 11489.03 11992.95 9194.38 16886.77 2898.14 3696.31 12189.30 4663.33 33696.72 12190.09 1093.63 31890.70 9682.29 22998.46 54
UniMVSNet_ETH3D80.86 26378.75 26787.22 25286.31 31072.02 30591.95 29393.76 26473.51 30775.06 27390.16 23543.04 34295.66 25876.37 23278.55 25193.98 218
EIA-MVS91.73 7592.05 7090.78 16594.52 16276.40 26098.06 4595.34 17989.19 4788.90 12297.28 9777.56 10897.73 15890.77 9496.86 9898.20 72
miper_refine_blended77.63 28874.92 29385.77 27390.86 25879.44 18488.08 32293.92 25076.26 28767.05 31982.78 32672.15 19191.92 33461.53 31641.62 36685.94 330
miper_lstm_enhance81.66 25480.66 24784.67 28891.19 25171.97 30791.94 29493.19 28877.86 27372.27 29485.26 30373.46 17893.42 32073.71 25867.05 32488.61 285
ETV-MVS92.72 5692.87 5292.28 11994.54 16181.89 12497.98 4995.21 18589.77 3993.11 6196.83 11477.23 11697.50 17295.74 3195.38 11597.44 134
CS-MVS92.64 6193.49 4190.08 18396.28 11274.73 28098.54 2494.96 19589.34 4494.63 4297.69 7178.96 8797.02 19793.75 5297.30 8398.49 51
D2MVS82.67 23981.55 23586.04 27087.77 29976.47 25795.21 22396.58 8582.66 19470.26 30685.46 30260.39 26595.80 25076.40 23179.18 24385.83 332
DVP-MVScopyleft95.58 895.91 994.57 2999.05 1085.18 5499.06 996.46 10188.75 5296.69 1398.76 1487.69 2199.76 2597.90 998.85 2298.77 35
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_THIRD88.38 6196.69 1398.76 1489.64 1299.76 2597.47 1498.84 2499.38 14
test_0728_SECOND95.14 1799.04 1586.14 3399.06 996.77 5599.84 1297.90 998.85 2299.45 10
test072699.05 1085.18 5499.11 896.78 4988.75 5297.65 998.91 387.69 21
SR-MVS92.16 6992.27 6491.83 13698.37 5278.41 21396.67 15395.76 15382.19 20191.97 7498.07 5076.44 12798.64 12393.71 5597.27 8598.45 55
DPM-MVS96.21 295.53 1198.26 196.26 11495.09 199.15 496.98 3293.39 996.45 1898.79 1090.17 999.99 189.33 11699.25 699.70 3
GST-MVS92.43 6692.22 6793.04 8798.17 6381.64 13597.40 9696.38 11484.71 13990.90 9597.40 9177.55 10999.76 2589.75 11097.74 7097.72 115
test_yl91.46 8490.53 9294.24 3997.41 9385.18 5498.08 4297.72 1080.94 21589.85 10696.14 12875.61 14298.81 11990.42 10288.56 17798.74 36
thisisatest053089.65 11989.02 12091.53 14493.46 19380.78 15296.52 15996.67 7081.69 20883.79 17494.90 16588.85 1497.68 15977.80 21287.49 18796.14 180
Anonymous2024052983.15 23080.60 24890.80 16395.74 12678.27 21796.81 14294.92 19760.10 35781.89 19892.54 20045.82 33398.82 11879.25 20478.32 25395.31 198
Anonymous20240521184.41 21181.93 23091.85 13596.78 10778.41 21397.44 8891.34 31670.29 32784.06 16794.26 17641.09 34898.96 10879.46 20082.65 22798.17 75
DCV-MVSNet91.46 8490.53 9294.24 3997.41 9385.18 5498.08 4297.72 1080.94 21589.85 10696.14 12875.61 14298.81 11990.42 10288.56 17798.74 36
tttt051788.57 14488.19 13289.71 20093.00 20475.99 26995.67 20796.67 7080.78 21881.82 19994.40 17388.97 1397.58 16376.05 23686.31 19395.57 192
our_test_377.90 28675.37 29085.48 27985.39 32476.74 25593.63 26391.67 31073.39 31065.72 32784.65 31458.20 28193.13 32457.82 33067.87 31486.57 321
thisisatest051590.95 9690.26 9793.01 8894.03 17884.27 7697.91 5296.67 7083.18 18086.87 14495.51 14488.66 1597.85 15480.46 18989.01 17096.92 156
ppachtmachnet_test77.19 29274.22 30086.13 26985.39 32478.22 21993.98 25891.36 31571.74 32267.11 31884.87 31256.67 29593.37 32252.21 34864.59 33286.80 318
SMA-MVScopyleft94.70 1794.68 1794.76 2598.02 7085.94 3797.47 8696.77 5585.32 12297.92 398.70 1883.09 5299.84 1295.79 3099.08 1098.49 51
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
GSMVS97.54 127
DPE-MVScopyleft95.32 1095.55 1094.64 2898.79 2584.87 6697.77 6196.74 6086.11 10396.54 1798.89 788.39 1899.74 3397.67 1299.05 1299.31 19
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part298.90 2185.14 6096.07 21
test_part184.72 20482.85 21690.34 17695.73 12884.79 6896.75 14794.10 24379.05 26275.97 26189.51 24167.69 21795.94 24279.34 20167.50 31990.30 246
thres100view90088.30 15186.95 16392.33 11696.10 11984.90 6597.14 11398.85 282.69 19383.41 17793.66 19075.43 14997.93 14869.04 28386.24 19694.17 213
tfpnnormal78.14 28375.42 28986.31 26688.33 29479.24 19094.41 24596.22 12673.51 30769.81 30985.52 30155.43 30395.75 25347.65 35967.86 31583.95 345
tfpn200view988.48 14587.15 15792.47 11096.21 11585.30 5297.44 8898.85 283.37 17783.99 16993.82 18775.36 15297.93 14869.04 28386.24 19694.17 213
c3_l83.80 21982.65 22187.25 25192.10 23177.74 23995.25 22293.04 29478.58 26676.01 25987.21 27375.25 15695.11 28777.54 21968.89 30488.91 283
CHOSEN 280x42091.71 7891.85 7291.29 15094.94 15182.69 10587.89 32596.17 13185.94 10887.27 14094.31 17490.27 895.65 26094.04 5195.86 11195.53 193
CANet94.89 1494.64 1895.63 1297.55 8888.12 1599.06 996.39 11394.07 795.34 2897.80 6876.83 12199.87 897.08 1997.64 7298.89 31
Fast-Effi-MVS+-dtu83.33 22682.60 22285.50 27889.55 28069.38 32996.09 19091.38 31382.30 19875.96 26291.41 21256.71 29495.58 26675.13 24484.90 20991.54 231
Effi-MVS+-dtu84.61 20784.90 18983.72 30391.96 23863.14 34894.95 23493.34 28385.57 11579.79 21987.12 27461.99 25795.61 26483.55 16785.83 20192.41 229
CANet_DTU90.98 9490.04 10393.83 5194.76 15686.23 3296.32 17793.12 29293.11 1093.71 5496.82 11663.08 24899.48 6384.29 15495.12 12095.77 187
MVS_030478.43 28076.70 28183.60 30588.22 29569.81 32492.91 28395.10 18772.32 31978.71 22780.29 34033.78 35993.37 32268.77 28680.23 23587.63 305
MP-MVS-pluss92.58 6392.35 6293.29 7597.30 10082.53 10896.44 16796.04 13984.68 14089.12 11998.37 2977.48 11099.74 3393.31 6498.38 5297.59 126
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MSP-MVS95.62 796.54 192.86 9598.31 5580.10 17097.42 9496.78 4992.20 1497.11 1198.29 3193.46 199.10 10096.01 2699.30 599.38 14
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_mvs177.59 10797.54 127
sam_mvs75.35 154
IterMVS-SCA-FT80.51 26679.10 26584.73 28689.63 27974.66 28292.98 28191.81 30980.05 23871.06 30185.18 30658.04 28291.40 33972.48 26570.70 28888.12 297
TSAR-MVS + MP.94.79 1695.17 1493.64 6097.66 8284.10 7895.85 20296.42 10691.26 2197.49 1096.80 11786.50 2798.49 13295.54 3499.03 1398.33 60
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_debu90.54 10489.54 11493.55 6592.31 21887.58 2296.99 12794.87 20087.23 8793.27 5797.56 8157.43 28798.32 13792.72 7293.46 13894.74 206
OPM-MVS85.84 18885.10 18588.06 23188.34 29377.83 23695.72 20594.20 23687.89 7480.45 21194.05 18258.57 27897.26 18783.88 15882.76 22689.09 272
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ACMMP_NAP93.46 4193.23 4594.17 4297.16 10284.28 7596.82 14196.65 7486.24 10194.27 4797.99 5577.94 10299.83 1693.39 6098.57 3698.39 58
ambc76.02 33968.11 36951.43 36764.97 36689.59 33360.49 34774.49 35217.17 37192.46 32761.50 31852.85 35584.17 343
zzz-MVS92.74 5392.71 5492.86 9597.90 7280.85 15096.47 16296.33 11887.92 7190.20 10498.18 3576.71 12499.76 2592.57 7598.09 6097.96 99
MTGPAbinary96.33 118
mvs-test186.83 17487.17 15685.81 27291.96 23865.24 34197.90 5493.34 28385.57 11584.51 16595.14 15761.99 25797.19 19083.55 16790.55 16195.00 201
CS-MVS-test92.38 6793.14 4790.08 18396.28 11274.73 28098.39 2894.38 23089.34 4494.63 4297.05 10777.17 11797.02 19793.75 5297.30 8398.49 51
Effi-MVS+90.70 10089.90 10893.09 8493.61 18483.48 9095.20 22492.79 29783.22 17991.82 7695.70 13771.82 19397.48 17491.25 8793.67 13598.32 61
xiu_mvs_v2_base93.92 3593.26 4495.91 1095.07 14692.02 698.19 3595.68 15792.06 1596.01 2298.14 4070.83 20598.96 10896.74 2296.57 10296.76 163
xiu_mvs_v1_base90.54 10489.54 11493.55 6592.31 21887.58 2296.99 12794.87 20087.23 8793.27 5797.56 8157.43 28798.32 13792.72 7293.46 13894.74 206
new-patchmatchnet68.85 32565.93 32777.61 33473.57 36863.94 34690.11 30988.73 34371.62 32355.08 35773.60 35440.84 34987.22 35951.35 35148.49 36081.67 357
pmmvs674.65 30671.67 31083.60 30579.13 35369.94 32293.31 27590.88 32561.05 35465.83 32684.15 31843.43 33894.83 29766.62 29460.63 34386.02 329
pmmvs581.34 25779.54 26186.73 26085.02 32976.91 25296.22 18291.65 31177.65 27573.55 28088.61 25255.70 30294.43 30474.12 25473.35 27488.86 284
test_post185.88 33930.24 37473.77 17395.07 29173.89 255
test_post33.80 37176.17 13395.97 238
Fast-Effi-MVS+87.93 16086.94 16490.92 16094.04 17679.16 19398.26 3293.72 26581.29 21183.94 17292.90 19769.83 21196.68 21676.70 22791.74 15596.93 154
patchmatchnet-post77.09 34977.78 10695.39 271
Anonymous2023121179.72 27177.19 27787.33 24795.59 13177.16 25195.18 22694.18 23859.31 35972.57 29286.20 29247.89 32795.66 25874.53 25169.24 30289.18 269
pmmvs-eth3d73.59 30870.66 31482.38 31576.40 36373.38 29289.39 31489.43 33572.69 31660.34 34877.79 34746.43 33291.26 34266.42 29857.06 34782.51 351
GG-mvs-BLEND93.49 6994.94 15186.26 3181.62 34797.00 3088.32 13094.30 17591.23 596.21 23288.49 12397.43 7998.00 93
xiu_mvs_v1_base_debi90.54 10489.54 11493.55 6592.31 21887.58 2296.99 12794.87 20087.23 8793.27 5797.56 8157.43 28798.32 13792.72 7293.46 13894.74 206
Anonymous2023120675.29 30373.64 30480.22 32680.75 34663.38 34793.36 27090.71 32873.09 31267.12 31783.70 32150.33 31990.85 34553.63 34670.10 29386.44 322
MTAPA92.45 6592.31 6392.86 9597.90 7280.85 15092.88 28496.33 11887.92 7190.20 10498.18 3576.71 12499.76 2592.57 7598.09 6097.96 99
MTMP97.53 8168.16 374
gm-plane-assit92.27 22279.64 18284.47 14895.15 15697.93 14885.81 142
test9_res96.00 2799.03 1398.31 64
MVP-Stereo82.65 24081.67 23485.59 27786.10 31678.29 21693.33 27192.82 29677.75 27469.17 31387.98 26259.28 27495.76 25271.77 26796.88 9682.73 350
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST998.64 3583.71 8597.82 5796.65 7484.29 15495.16 2998.09 4684.39 3699.36 75
train_agg94.28 2494.45 2293.74 5498.64 3583.71 8597.82 5796.65 7484.50 14695.16 2998.09 4684.33 3799.36 7595.91 2998.96 1998.16 76
gg-mvs-nofinetune85.48 19582.90 21593.24 7794.51 16585.82 3979.22 35196.97 3461.19 35287.33 13953.01 36590.58 696.07 23486.07 14197.23 8697.81 110
SCA85.63 19283.64 20591.60 14392.30 22181.86 12692.88 28495.56 16384.85 13482.52 18585.12 30958.04 28295.39 27173.89 25587.58 18697.54 127
Patchmatch-test78.25 28274.72 29588.83 21491.20 25074.10 28973.91 36388.70 34459.89 35866.82 32185.12 30978.38 9694.54 30248.84 35779.58 24097.86 105
test_898.63 3783.64 8897.81 5996.63 7984.50 14695.10 3198.11 4584.33 3799.23 81
MS-PatchMatch83.05 23281.82 23286.72 26189.64 27879.10 19694.88 23694.59 22079.70 24570.67 30389.65 23950.43 31896.82 21070.82 27995.99 11084.25 342
Patchmatch-RL test76.65 29674.01 30384.55 29177.37 35964.23 34378.49 35582.84 36478.48 26764.63 33173.40 35576.05 13591.70 33876.99 22357.84 34697.72 115
cdsmvs_eth3d_5k21.43 34228.57 3450.00 3610.00 3840.00 3850.00 37295.93 1450.00 3790.00 38097.66 7363.57 2450.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas5.92 3477.89 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37971.04 2020.00 3800.00 3780.00 3780.00 376
agg_prior194.10 3094.31 2793.48 7098.59 3983.13 9897.77 6196.56 8884.38 15094.19 4898.13 4184.66 3599.16 9495.74 3198.74 3198.15 78
agg_prior294.30 4799.00 1598.57 46
agg_prior98.59 3983.13 9896.56 8894.19 4899.16 94
tmp_tt41.54 33741.93 33940.38 35520.10 38126.84 37861.93 36759.09 37714.81 37428.51 36980.58 33635.53 35648.33 37663.70 31013.11 37345.96 369
canonicalmvs92.27 6891.22 8295.41 1595.80 12588.31 1397.09 12094.64 21688.49 5992.99 6497.31 9372.68 18598.57 12893.38 6288.58 17699.36 16
anonymousdsp80.98 26279.97 25884.01 29781.73 34570.44 31992.49 28893.58 27277.10 28472.98 28886.31 29057.58 28694.90 29479.32 20278.63 25086.69 320
alignmvs92.97 4992.26 6595.12 1895.54 13287.77 1998.67 1896.38 11488.04 6993.01 6397.45 8679.20 8598.60 12693.25 6588.76 17398.99 30
nrg03086.79 17685.43 17690.87 16288.76 28785.34 4997.06 12494.33 23284.31 15280.45 21191.98 20572.36 18796.36 22588.48 12471.13 28290.93 237
v14419282.43 24280.73 24587.54 24385.81 32078.22 21995.98 19293.78 26179.09 25877.11 24186.49 28464.66 24295.91 24574.20 25369.42 29988.49 287
FIs86.73 17886.10 17088.61 21890.05 27280.21 16796.14 18796.95 3685.56 11878.37 23192.30 20176.73 12395.28 27879.51 19979.27 24290.35 243
v192192082.02 24980.23 25387.41 24685.62 32177.92 23295.79 20493.69 26678.86 26376.67 24686.44 28662.50 25095.83 24872.69 26269.77 29788.47 288
UA-Net88.92 13288.48 12990.24 17994.06 17577.18 25093.04 28094.66 21387.39 8391.09 9293.89 18674.92 16098.18 14475.83 23891.43 15695.35 197
v119282.31 24680.55 24987.60 23985.94 31778.47 21295.85 20293.80 25979.33 25176.97 24386.51 28363.33 24795.87 24673.11 26070.13 29188.46 289
FC-MVSNet-test85.96 18685.39 17787.66 23889.38 28478.02 22695.65 20996.87 4285.12 13077.34 23791.94 20876.28 13294.74 29877.09 22278.82 24690.21 247
v114482.90 23681.27 24087.78 23686.29 31179.07 19896.14 18793.93 24980.05 23877.38 23686.80 27965.50 23395.93 24475.21 24370.13 29188.33 293
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
HFP-MVS92.89 5092.86 5392.98 8998.71 2781.12 14297.58 7796.70 6585.20 12891.75 7797.97 5978.47 9499.71 3790.95 8998.41 4898.12 81
v14882.41 24580.89 24286.99 25586.18 31476.81 25496.27 17993.82 25680.49 22675.28 27186.11 29467.32 22395.75 25375.48 24167.03 32588.42 291
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
AllTest75.92 29973.06 30684.47 29292.18 22867.29 33591.07 30484.43 35867.63 33463.48 33390.18 23338.20 35297.16 19157.04 33473.37 27288.97 280
TestCases84.47 29292.18 22867.29 33584.43 35867.63 33463.48 33390.18 23338.20 35297.16 19157.04 33473.37 27288.97 280
v7n79.32 27677.34 27585.28 28084.05 33972.89 30093.38 26993.87 25375.02 29770.68 30284.37 31559.58 27095.62 26367.60 28967.50 31987.32 314
region2R92.72 5692.70 5692.79 9898.68 2980.53 16097.53 8196.51 9585.22 12691.94 7597.98 5777.26 11299.67 4590.83 9398.37 5398.18 74
bset_n11_16_dypcd84.35 21282.83 21888.91 21182.54 34382.07 11894.12 25693.47 27485.39 12178.55 22888.98 24762.23 25295.11 28786.75 13973.42 27189.55 260
RRT_MVS86.89 17185.96 17189.68 20195.01 15084.13 7796.33 17694.98 19484.20 15780.10 21792.07 20470.52 20695.01 29383.30 17377.14 25789.91 255
PS-MVSNAJss84.91 20284.30 19686.74 25785.89 31974.40 28794.95 23494.16 23983.93 16576.45 25090.11 23771.04 20295.77 25183.16 17579.02 24590.06 253
PS-MVSNAJ94.17 2793.52 4096.10 895.65 13092.35 298.21 3495.79 15292.42 1396.24 1998.18 3571.04 20299.17 9396.77 2197.39 8196.79 160
jajsoiax82.12 24881.15 24185.03 28384.19 33670.70 31794.22 25493.95 24883.07 18373.48 28189.75 23849.66 32195.37 27382.24 18179.76 23689.02 276
mvs_tets81.74 25180.71 24684.84 28484.22 33570.29 32093.91 25993.78 26182.77 19173.37 28289.46 24247.36 33095.31 27781.99 18279.55 24188.92 282
#test#92.99 4892.99 4992.98 8998.71 2781.12 14297.77 6196.70 6585.75 11291.75 7797.97 5978.47 9499.71 3791.36 8598.41 4898.12 81
EI-MVSNet-UG-set91.35 8891.22 8291.73 13797.39 9580.68 15496.47 16296.83 4587.92 7188.30 13197.36 9277.84 10499.13 9889.43 11589.45 16695.37 196
EI-MVSNet-Vis-set91.84 7491.77 7592.04 12797.60 8481.17 14196.61 15496.87 4288.20 6689.19 11897.55 8478.69 9399.14 9690.29 10490.94 15995.80 186
Regformer-393.19 4393.19 4693.19 8098.10 6683.01 10297.08 12296.98 3288.98 4991.35 8797.89 6280.80 6699.23 8192.30 7795.20 11797.32 140
Regformer-493.06 4793.12 4892.89 9498.10 6682.20 11697.08 12296.92 4088.87 5191.23 9097.89 6280.57 6999.19 9092.21 7995.20 11797.29 144
Regformer-194.00 3494.04 3393.87 5098.41 4984.29 7497.43 9297.04 2889.50 4192.75 6798.13 4182.60 5999.26 8093.55 5896.99 9198.06 85
Regformer-293.92 3594.01 3493.67 5998.41 4983.75 8497.43 9297.00 3089.43 4392.69 6898.13 4182.48 6099.22 8393.51 5996.99 9198.04 86
HPM-MVS++copyleft95.32 1095.48 1294.85 2398.62 3886.04 3497.81 5996.93 3892.45 1295.69 2498.50 2485.38 3199.85 1094.75 4399.18 798.65 43
test_prior482.34 11397.75 66
XVS92.69 5892.71 5492.63 10698.52 4280.29 16397.37 9796.44 10387.04 9291.38 8397.83 6777.24 11499.59 5290.46 9998.07 6298.02 88
v124081.70 25279.83 26087.30 25085.50 32277.70 24095.48 21393.44 27678.46 26876.53 24986.44 28660.85 26495.84 24771.59 26970.17 28988.35 292
test_prior394.03 3394.34 2693.09 8498.68 2981.91 12298.37 2996.40 11086.08 10594.57 4498.02 5283.14 4999.06 10295.05 4098.79 2798.29 66
pm-mvs180.05 26878.02 27186.15 26885.42 32375.81 27295.11 22992.69 29977.13 28270.36 30587.43 26858.44 28095.27 27971.36 27164.25 33587.36 313
test_prior298.37 2986.08 10594.57 4498.02 5283.14 4995.05 4098.79 27
X-MVStestdata86.26 18384.14 19992.63 10698.52 4280.29 16397.37 9796.44 10387.04 9291.38 8320.73 37577.24 11499.59 5290.46 9998.07 6298.02 88
test_prior93.09 8498.68 2981.91 12296.40 11099.06 10298.29 66
旧先验296.97 13274.06 30496.10 2097.76 15788.38 125
新几何296.42 170
新几何193.12 8297.44 9181.60 13696.71 6474.54 30091.22 9197.57 8079.13 8699.51 6177.40 22198.46 4398.26 70
旧先验197.39 9579.58 18396.54 9198.08 4984.00 4197.42 8097.62 124
无先验96.87 13896.78 4977.39 27899.52 5879.95 19598.43 56
原ACMM296.84 139
原ACMM191.22 15397.77 7878.10 22596.61 8081.05 21491.28 8997.42 9077.92 10398.98 10779.85 19898.51 3896.59 167
test22296.15 11778.41 21395.87 20096.46 10171.97 32089.66 11197.45 8676.33 13198.24 5898.30 65
testdata299.48 6376.45 230
segment_acmp82.69 58
testdata90.13 18295.92 12374.17 28896.49 10073.49 30994.82 3997.99 5578.80 9197.93 14883.53 17097.52 7598.29 66
testdata195.57 21187.44 81
v881.88 25080.06 25787.32 24886.63 30779.04 19994.41 24593.65 26878.77 26473.19 28685.57 29966.87 22695.81 24973.84 25767.61 31887.11 315
131488.94 13187.20 15594.17 4293.21 19685.73 4293.33 27196.64 7782.89 18875.98 26096.36 12566.83 22799.39 6883.52 17196.02 10997.39 138
112190.66 10189.82 11093.16 8197.39 9581.71 13393.33 27196.66 7374.45 30191.38 8397.55 8479.27 8299.52 5879.95 19598.43 4598.26 70
LFMVS89.27 12687.64 14294.16 4497.16 10285.52 4797.18 10794.66 21379.17 25689.63 11296.57 12355.35 30498.22 14189.52 11489.54 16598.74 36
VDD-MVS88.28 15287.02 16292.06 12695.09 14480.18 16997.55 8094.45 22783.09 18289.10 12095.92 13447.97 32698.49 13293.08 7086.91 18997.52 131
VDDNet86.44 18084.51 19192.22 12191.56 24581.83 12797.10 11994.64 21669.50 33187.84 13495.19 15348.01 32597.92 15389.82 10986.92 18896.89 157
v1081.43 25679.53 26287.11 25386.38 30878.87 20094.31 24993.43 27777.88 27273.24 28585.26 30365.44 23495.75 25372.14 26667.71 31786.72 319
VPNet84.69 20682.92 21490.01 18789.01 28683.45 9196.71 15095.46 16985.71 11379.65 22092.18 20356.66 29696.01 23783.05 17767.84 31690.56 239
MVS90.60 10388.64 12696.50 594.25 17090.53 893.33 27197.21 2077.59 27678.88 22597.31 9371.52 19799.69 4189.60 11198.03 6499.27 21
v2v48283.46 22481.86 23188.25 22786.19 31379.65 18196.34 17594.02 24781.56 20977.32 23888.23 25865.62 23296.03 23577.77 21369.72 29889.09 272
V4283.04 23381.53 23687.57 24286.27 31279.09 19795.87 20094.11 24280.35 23177.22 24086.79 28065.32 23796.02 23677.74 21470.14 29087.61 307
SD-MVS94.84 1595.02 1594.29 3797.87 7684.61 7097.76 6596.19 13089.59 4096.66 1598.17 3984.33 3799.60 5196.09 2498.50 4198.66 42
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-MVS85.79 19084.04 20091.02 15889.47 28280.27 16596.90 13794.84 20385.57 11580.88 20589.08 24456.56 29796.47 22277.72 21585.35 20696.34 174
MSLP-MVS++94.28 2494.39 2593.97 4798.30 5684.06 7998.64 2096.93 3890.71 2793.08 6298.70 1879.98 7699.21 8594.12 5099.07 1198.63 44
APDe-MVS94.56 1994.75 1693.96 4898.84 2483.40 9298.04 4796.41 10785.79 11195.00 3598.28 3284.32 4099.18 9297.35 1698.77 2999.28 20
APD-MVS_3200maxsize91.23 9191.35 8190.89 16197.89 7476.35 26196.30 17895.52 16679.82 24291.03 9497.88 6474.70 16298.54 12992.11 8196.89 9597.77 112
ADS-MVSNet279.57 27277.53 27485.71 27593.78 18072.13 30379.48 34986.11 35373.09 31280.14 21579.99 34162.15 25490.14 35159.49 32483.52 21494.85 203
EI-MVSNet85.80 18985.20 18087.59 24091.55 24677.41 24495.13 22795.36 17680.43 22980.33 21394.71 16773.72 17595.97 23876.96 22578.64 24889.39 261
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
CVMVSNet84.83 20385.57 17482.63 31491.55 24660.38 35595.13 22795.03 19280.60 22282.10 19594.71 16766.40 23090.19 35074.30 25290.32 16297.31 142
pmmvs482.54 24180.79 24387.79 23586.11 31580.49 16193.55 26693.18 28977.29 28073.35 28389.40 24365.26 23895.05 29275.32 24273.61 27087.83 301
EU-MVSNet76.92 29576.95 27976.83 33684.10 33754.73 36691.77 29792.71 29872.74 31569.57 31088.69 25158.03 28487.43 35864.91 30470.00 29588.33 293
VNet92.11 7091.22 8294.79 2496.91 10586.98 2697.91 5297.96 986.38 10093.65 5595.74 13570.16 21098.95 11193.39 6088.87 17298.43 56
test-LLR88.48 14587.98 13589.98 18992.26 22377.23 24897.11 11695.96 14283.76 17086.30 14891.38 21372.30 18996.78 21380.82 18691.92 15395.94 183
TESTMET0.1,189.83 11589.34 11791.31 14892.54 21680.19 16897.11 11696.57 8686.15 10286.85 14591.83 21079.32 8096.95 20181.30 18492.35 14996.77 162
test-mter88.95 13088.60 12789.98 18992.26 22377.23 24897.11 11695.96 14285.32 12286.30 14891.38 21376.37 13096.78 21380.82 18691.92 15395.94 183
VPA-MVSNet85.32 19683.83 20189.77 19990.25 26782.63 10696.36 17397.07 2783.03 18581.21 20389.02 24661.58 26196.31 22885.02 15070.95 28490.36 242
ACMMPR92.69 5892.67 5792.75 9998.66 3280.57 15797.58 7796.69 6885.20 12891.57 8197.92 6177.01 11899.67 4590.95 8998.41 4898.00 93
testgi74.88 30573.40 30579.32 33080.13 35061.75 35193.21 27786.64 35179.49 24966.56 32491.06 21835.51 35788.67 35456.79 33771.25 28187.56 309
test20.0372.36 31671.15 31275.98 34077.79 35659.16 35992.40 29089.35 33674.09 30361.50 34484.32 31648.09 32485.54 36350.63 35362.15 34183.24 346
thres600view788.06 15686.70 16692.15 12396.10 11985.17 5897.14 11398.85 282.70 19283.41 17793.66 19075.43 14997.82 15567.13 29285.88 20093.45 226
ADS-MVSNet81.26 25878.36 26889.96 19193.78 18079.78 17479.48 34993.60 27073.09 31280.14 21579.99 34162.15 25495.24 28059.49 32483.52 21494.85 203
MP-MVScopyleft92.61 6292.67 5792.42 11398.13 6579.73 17997.33 9996.20 12885.63 11490.53 9997.66 7378.14 10099.70 4092.12 8098.30 5797.85 106
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs9.92 34412.94 3470.84 3600.65 3820.29 38493.78 2610.39 3830.42 3762.85 37715.84 3760.17 3830.30 3792.18 3760.21 3761.91 374
thres40088.42 14887.15 15792.23 12096.21 11585.30 5297.44 8898.85 283.37 17783.99 16993.82 18775.36 15297.93 14869.04 28386.24 19693.45 226
test1239.07 34511.73 3481.11 3590.50 3830.77 38389.44 3130.20 3840.34 3772.15 37810.72 3770.34 3820.32 3781.79 3770.08 3772.23 373
thres20088.92 13287.65 14192.73 10196.30 11185.62 4597.85 5598.86 184.38 15084.82 15993.99 18475.12 15898.01 14670.86 27786.67 19094.56 211
test0.0.03 182.79 23782.48 22383.74 30286.81 30672.22 30196.52 15995.03 19283.76 17073.00 28793.20 19372.30 18988.88 35364.15 30777.52 25690.12 249
pmmvs365.75 32862.18 33176.45 33867.12 37064.54 34288.68 31885.05 35654.77 36357.54 35673.79 35329.40 36686.21 36155.49 34247.77 36178.62 359
EMVS31.70 34131.45 34332.48 35750.72 37623.95 38074.78 36152.30 38020.36 37116.08 37531.48 37312.80 37353.60 37511.39 37413.10 37419.88 372
E-PMN32.70 34032.39 34233.65 35653.35 37525.70 37974.07 36253.33 37921.08 37017.17 37433.63 37211.85 37554.84 37412.98 37314.04 37120.42 371
PGM-MVS91.93 7291.80 7492.32 11898.27 5779.74 17895.28 21997.27 1883.83 16890.89 9697.78 6976.12 13499.56 5688.82 11997.93 6897.66 120
LCM-MVSNet-Re83.75 22083.54 20884.39 29693.54 18764.14 34492.51 28784.03 36083.90 16666.14 32586.59 28267.36 22292.68 32584.89 15192.87 14296.35 173
LCM-MVSNet52.52 33248.24 33565.35 34547.63 37741.45 37372.55 36483.62 36231.75 36737.66 36657.92 3649.19 37876.76 36749.26 35644.60 36477.84 360
MCST-MVS96.17 396.12 696.32 799.42 289.36 1098.94 1597.10 2695.17 292.11 7398.46 2687.33 2399.97 297.21 1799.31 499.63 7
mvs_anonymous88.68 13987.62 14491.86 13394.80 15581.69 13493.53 26794.92 19782.03 20378.87 22690.43 23075.77 13995.34 27485.04 14993.16 14198.55 49
MVS_Test90.29 11189.18 11893.62 6295.23 13984.93 6494.41 24594.66 21384.31 15290.37 10391.02 21975.13 15797.82 15583.11 17694.42 12698.12 81
MDA-MVSNet-bldmvs71.45 31967.94 32381.98 31985.33 32668.50 33292.35 29188.76 34270.40 32642.99 36481.96 32946.57 33191.31 34148.75 35854.39 35086.11 327
CDPH-MVS93.12 4592.91 5193.74 5498.65 3483.88 8097.67 7196.26 12383.00 18693.22 6098.24 3381.31 6399.21 8589.12 11798.74 3198.14 79
test1294.25 3898.34 5385.55 4696.35 11792.36 6980.84 6599.22 8398.31 5697.98 95
casdiffmvs90.95 9690.39 9492.63 10692.82 20982.53 10896.83 14094.47 22587.69 7888.47 12695.56 14374.04 17197.54 16990.90 9292.74 14397.83 108
diffmvs91.17 9290.74 9092.44 11293.11 20382.50 11096.25 18193.62 26987.79 7590.40 10295.93 13273.44 17997.42 17693.62 5792.55 14597.41 136
baseline290.39 10890.21 9990.93 15990.86 25880.99 14695.20 22497.41 1586.03 10780.07 21894.61 16990.58 697.47 17587.29 13389.86 16494.35 212
baseline188.85 13587.49 14892.93 9395.21 14186.85 2795.47 21494.61 21887.29 8483.11 18294.99 16480.70 6796.89 20582.28 18073.72 26995.05 200
YYNet173.53 31070.43 31682.85 31284.52 33371.73 31191.69 29991.37 31467.63 33446.79 36281.21 33455.04 30790.43 34855.93 33959.70 34586.38 323
PMMVS250.90 33446.31 33764.67 34655.53 37346.67 37077.30 35871.02 37340.89 36534.16 36859.32 3629.83 37776.14 36940.09 36528.63 36971.21 362
MDA-MVSNet_test_wron73.54 30970.43 31682.86 31184.55 33171.85 30891.74 29891.32 31767.63 33446.73 36381.09 33555.11 30690.42 34955.91 34059.76 34486.31 324
tpmvs83.04 23380.77 24489.84 19595.43 13477.96 22985.59 34095.32 18175.31 29476.27 25583.70 32173.89 17297.41 17759.53 32381.93 23094.14 215
PM-MVS69.32 32366.93 32576.49 33773.60 36755.84 36385.91 33879.32 36974.72 29961.09 34578.18 34621.76 36891.10 34370.86 27756.90 34882.51 351
HQP_MVS87.50 16487.09 16088.74 21691.86 24277.96 22997.18 10794.69 20989.89 3781.33 20194.15 18064.77 24097.30 18387.08 13482.82 22490.96 235
plane_prior791.86 24277.55 242
plane_prior691.98 23777.92 23264.77 240
plane_prior594.69 20997.30 18387.08 13482.82 22490.96 235
plane_prior494.15 180
plane_prior377.75 23890.17 3581.33 201
plane_prior297.18 10789.89 37
plane_prior191.95 240
plane_prior77.96 22997.52 8490.36 3482.96 222
PS-CasMVS80.27 26779.18 26383.52 30787.56 30269.88 32394.08 25795.29 18280.27 23472.08 29588.51 25659.22 27592.23 33167.49 29068.15 31288.45 290
UniMVSNet_NR-MVSNet85.49 19484.59 19088.21 22989.44 28379.36 18796.71 15096.41 10785.22 12678.11 23390.98 22176.97 11995.14 28579.14 20568.30 31090.12 249
PEN-MVS79.47 27478.26 27083.08 31086.36 30968.58 33193.85 26094.77 20879.76 24371.37 29788.55 25359.79 26792.46 32764.50 30565.40 33088.19 295
TransMVSNet (Re)76.94 29474.38 29884.62 29085.92 31875.25 27795.28 21989.18 33873.88 30567.22 31686.46 28559.64 26894.10 30959.24 32752.57 35684.50 340
DTE-MVSNet78.37 28177.06 27882.32 31785.22 32867.17 33793.40 26893.66 26778.71 26570.53 30488.29 25759.06 27692.23 33161.38 31963.28 33987.56 309
DU-MVS84.57 20883.33 21188.28 22588.76 28779.36 18796.43 16995.41 17585.42 11978.11 23390.82 22267.61 21895.14 28579.14 20568.30 31090.33 244
UniMVSNet (Re)85.31 19784.23 19788.55 21989.75 27580.55 15896.72 14896.89 4185.42 11978.40 23088.93 24875.38 15195.52 26878.58 20968.02 31389.57 259
CP-MVSNet81.01 26180.08 25583.79 30087.91 29870.51 31894.29 25395.65 15880.83 21772.54 29388.84 24963.71 24492.32 32968.58 28868.36 30988.55 286
WR-MVS_H81.02 26080.09 25483.79 30088.08 29771.26 31694.46 24396.54 9180.08 23772.81 29086.82 27870.36 20892.65 32664.18 30667.50 31987.46 312
WR-MVS84.32 21382.96 21388.41 22189.38 28480.32 16296.59 15596.25 12483.97 16276.63 24790.36 23167.53 22094.86 29675.82 23970.09 29490.06 253
NR-MVSNet83.35 22581.52 23788.84 21388.76 28781.31 14094.45 24495.16 18684.65 14267.81 31590.82 22270.36 20894.87 29574.75 24666.89 32690.33 244
Baseline_NR-MVSNet81.22 25980.07 25684.68 28785.32 32775.12 27896.48 16188.80 34176.24 28977.28 23986.40 28967.61 21894.39 30575.73 24066.73 32784.54 339
TranMVSNet+NR-MVSNet83.24 22981.71 23387.83 23487.71 30078.81 20396.13 18994.82 20484.52 14576.18 25890.78 22464.07 24394.60 30174.60 25066.59 32890.09 251
TSAR-MVS + GP.94.35 2394.50 2093.89 4997.38 9883.04 10198.10 4195.29 18291.57 1793.81 5397.45 8686.64 2599.43 6696.28 2394.01 13099.20 23
abl_689.80 11689.71 11390.07 18596.53 10975.52 27494.48 24295.04 19181.12 21389.22 11797.00 10868.83 21498.96 10889.86 10795.27 11695.73 188
n20.00 385
nn0.00 385
mPP-MVS91.88 7391.82 7392.07 12598.38 5178.63 20797.29 10096.09 13585.12 13088.45 12797.66 7375.53 14599.68 4389.83 10898.02 6597.88 102
door-mid79.75 368
XVG-OURS-SEG-HR85.74 19185.16 18387.49 24590.22 26871.45 31491.29 30294.09 24481.37 21083.90 17395.22 15060.30 26697.53 17085.58 14484.42 21193.50 224
DWT-MVSNet_test90.52 10789.80 11192.70 10395.73 12882.20 11693.69 26296.55 9088.34 6387.04 14395.34 14786.53 2697.55 16676.32 23388.66 17598.34 59
MVSFormer91.36 8790.57 9193.73 5693.00 20488.08 1694.80 23994.48 22380.74 21994.90 3697.13 10278.84 8995.10 28983.77 16197.46 7698.02 88
jason92.73 5592.23 6694.21 4190.50 26487.30 2598.65 1995.09 18890.61 2892.76 6697.13 10275.28 15597.30 18393.32 6396.75 10198.02 88
jason: jason.
lupinMVS93.87 3893.58 3994.75 2693.00 20488.08 1699.15 495.50 16791.03 2494.90 3697.66 7378.84 8997.56 16494.64 4697.46 7698.62 45
test_djsdf83.00 23582.45 22484.64 28984.07 33869.78 32594.80 23994.48 22380.74 21975.41 27087.70 26561.32 26395.10 28983.77 16179.76 23689.04 275
HPM-MVS_fast90.38 11090.17 10191.03 15797.61 8377.35 24697.15 11295.48 16879.51 24888.79 12396.90 11071.64 19698.81 11987.01 13797.44 7896.94 153
RRT_test8_iter0587.14 16786.41 16889.32 20494.41 16781.10 14497.06 12495.33 18084.67 14176.27 25590.48 22783.60 4696.33 22685.10 14770.78 28590.53 240
K. test v373.62 30771.59 31179.69 32882.98 34259.85 35890.85 30688.83 34077.13 28258.90 34982.11 32843.62 33791.72 33765.83 30054.10 35187.50 311
lessismore_v079.98 32780.59 34858.34 36080.87 36658.49 35183.46 32343.10 34193.89 31263.11 31348.68 35887.72 302
SixPastTwentyTwo76.04 29874.32 29981.22 32184.54 33261.43 35491.16 30389.30 33777.89 27164.04 33286.31 29048.23 32394.29 30763.54 31163.84 33787.93 300
OurMVSNet-221017-077.18 29376.06 28580.55 32583.78 34060.00 35790.35 30791.05 32177.01 28666.62 32387.92 26347.73 32894.03 31071.63 26868.44 30887.62 306
HPM-MVScopyleft91.62 8191.53 7991.89 13297.88 7579.22 19196.99 12795.73 15582.07 20289.50 11697.19 10075.59 14498.93 11490.91 9197.94 6697.54 127
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
XVG-OURS85.18 19884.38 19587.59 24090.42 26671.73 31191.06 30594.07 24582.00 20483.29 17995.08 16156.42 29897.55 16683.70 16583.42 21693.49 225
XVG-ACMP-BASELINE79.38 27577.90 27283.81 29984.98 33067.14 33889.03 31593.18 28980.26 23572.87 28988.15 26038.55 35196.26 22976.05 23678.05 25488.02 298
LPG-MVS_test84.20 21583.49 20986.33 26390.88 25673.06 29795.28 21994.13 24082.20 19976.31 25293.20 19354.83 30996.95 20183.72 16380.83 23288.98 278
LGP-MVS_train86.33 26390.88 25673.06 29794.13 24082.20 19976.31 25293.20 19354.83 30996.95 20183.72 16380.83 23288.98 278
baseline90.76 9990.10 10292.74 10092.90 20882.56 10794.60 24194.56 22187.69 7889.06 12195.67 13973.76 17497.51 17190.43 10192.23 15198.16 76
test1196.50 97
door80.13 367
EPNet_dtu87.65 16387.89 13686.93 25694.57 15971.37 31596.72 14896.50 9788.56 5887.12 14195.02 16275.91 13894.01 31166.62 29490.00 16395.42 195
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x268891.07 9390.21 9993.64 6095.18 14283.53 8996.26 18096.13 13288.92 5084.90 15893.10 19672.86 18399.62 5088.86 11895.67 11497.79 111
EPNet94.06 3294.15 3093.76 5397.27 10184.35 7298.29 3197.64 1394.57 495.36 2796.88 11279.96 7799.12 9991.30 8696.11 10697.82 109
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS78.48 209
HQP-NCC92.08 23297.63 7290.52 2982.30 189
ACMP_Plane92.08 23297.63 7290.52 2982.30 189
APD-MVScopyleft93.61 3993.59 3893.69 5798.76 2683.26 9697.21 10396.09 13582.41 19794.65 4198.21 3481.96 6298.81 11994.65 4598.36 5499.01 27
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS87.67 130
HQP4-MVS82.30 18997.32 18191.13 233
HQP3-MVS94.80 20583.01 220
HQP2-MVS65.40 235
CNVR-MVS96.30 196.54 195.55 1499.31 587.69 2199.06 997.12 2494.66 396.79 1298.78 1186.42 2899.95 397.59 1399.18 799.00 28
NCCC95.63 695.94 894.69 2799.21 785.15 5999.16 396.96 3594.11 695.59 2598.64 2185.07 3399.91 495.61 3399.10 999.00 28
114514_t88.79 13887.57 14692.45 11198.21 6181.74 13196.99 12795.45 17075.16 29582.48 18695.69 13868.59 21698.50 13180.33 19095.18 11997.10 150
CP-MVS92.54 6492.60 5992.34 11598.50 4579.90 17398.40 2796.40 11084.75 13690.48 10198.09 4677.40 11199.21 8591.15 8898.23 5997.92 101
DSMNet-mixed73.13 31272.45 30875.19 34277.51 35846.82 36985.09 34282.01 36567.61 33869.27 31281.33 33350.89 31586.28 36054.54 34383.80 21392.46 228
tpm287.35 16686.26 16990.62 16892.93 20778.67 20688.06 32495.99 14079.33 25187.40 13786.43 28880.28 7296.40 22380.23 19285.73 20396.79 160
NP-MVS92.04 23678.22 21994.56 170
EG-PatchMatch MVS74.92 30472.02 30983.62 30483.76 34173.28 29593.62 26492.04 30668.57 33358.88 35083.80 32031.87 36395.57 26756.97 33678.67 24782.00 356
tpm cat183.63 22281.38 23890.39 17493.53 19278.19 22485.56 34195.09 18870.78 32578.51 22983.28 32474.80 16197.03 19666.77 29384.05 21295.95 182
SteuartSystems-ACMMP94.13 2994.44 2393.20 7995.41 13581.35 13999.02 1396.59 8489.50 4194.18 5098.36 3083.68 4599.45 6594.77 4298.45 4498.81 34
Skip Steuart: Steuart Systems R&D Blog.
CostFormer89.08 12888.39 13091.15 15493.13 20179.15 19488.61 31996.11 13483.14 18189.58 11386.93 27783.83 4496.87 20788.22 12785.92 19997.42 135
CR-MVSNet83.53 22381.36 23990.06 18690.16 27079.75 17679.02 35391.12 31884.24 15682.27 19380.35 33875.45 14793.67 31763.37 31286.25 19496.75 164
JIA-IIPM79.00 27877.20 27684.40 29589.74 27764.06 34575.30 36095.44 17162.15 34781.90 19759.08 36378.92 8895.59 26566.51 29785.78 20293.54 223
Patchmtry77.36 29174.59 29685.67 27689.75 27575.75 27377.85 35691.12 31860.28 35571.23 29880.35 33875.45 14793.56 31957.94 32967.34 32287.68 304
PatchT79.75 27076.85 28088.42 22089.55 28075.49 27577.37 35794.61 21863.07 34482.46 18773.32 35675.52 14693.41 32151.36 35084.43 21096.36 172
tpmrst88.36 14987.38 15291.31 14894.36 16979.92 17287.32 32995.26 18485.32 12288.34 12986.13 29380.60 6896.70 21583.78 16085.34 20797.30 143
BH-w/o88.24 15387.47 15090.54 17195.03 14978.54 20897.41 9593.82 25684.08 15878.23 23294.51 17269.34 21397.21 18880.21 19394.58 12595.87 185
tpm85.55 19384.47 19488.80 21590.19 26975.39 27688.79 31794.69 20984.83 13583.96 17185.21 30578.22 9994.68 30076.32 23378.02 25596.34 174
DELS-MVS94.98 1394.49 2196.44 696.42 11090.59 799.21 297.02 2994.40 591.46 8297.08 10583.32 4899.69 4192.83 7198.70 3399.04 26
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-untuned86.95 17085.94 17289.99 18894.52 16277.46 24396.78 14493.37 28281.80 20676.62 24893.81 18966.64 22897.02 19776.06 23593.88 13395.48 194
RPMNet79.85 26975.92 28791.64 14090.16 27079.75 17679.02 35395.44 17158.43 36182.27 19372.55 35773.03 18298.41 13646.10 36186.25 19496.75 164
MVSTER89.25 12788.92 12490.24 17995.98 12284.66 6996.79 14395.36 17687.19 9080.33 21390.61 22690.02 1195.97 23885.38 14678.64 24890.09 251
CPTT-MVS89.72 11889.87 10989.29 20598.33 5473.30 29497.70 6995.35 17875.68 29187.40 13797.44 8970.43 20798.25 14089.56 11396.90 9496.33 176
GBi-Net82.42 24380.43 25188.39 22292.66 21181.95 11994.30 25093.38 27979.06 25975.82 26485.66 29556.38 29993.84 31371.23 27275.38 26389.38 263
PVSNet_Blended_VisFu91.24 9090.77 8992.66 10495.09 14482.40 11297.77 6195.87 14988.26 6586.39 14693.94 18576.77 12299.27 7888.80 12094.00 13196.31 177
PVSNet_BlendedMVS90.05 11389.96 10590.33 17797.47 8983.86 8198.02 4896.73 6187.98 7089.53 11489.61 24076.42 12899.57 5494.29 4879.59 23987.57 308
UnsupCasMVSNet_eth73.25 31170.57 31581.30 32077.53 35766.33 33987.24 33093.89 25280.38 23057.90 35481.59 33142.91 34390.56 34765.18 30348.51 35987.01 317
UnsupCasMVSNet_bld68.60 32664.50 32980.92 32374.63 36667.80 33383.97 34392.94 29565.12 34254.63 35868.23 36135.97 35592.17 33360.13 32244.83 36382.78 349
PVSNet_Blended93.13 4492.98 5093.57 6497.47 8983.86 8199.32 196.73 6191.02 2589.53 11496.21 12776.42 12899.57 5494.29 4895.81 11397.29 144
FMVSNet576.46 29774.16 30183.35 30990.05 27276.17 26289.58 31189.85 33271.39 32465.29 32980.42 33750.61 31787.70 35761.05 32169.24 30286.18 326
test182.42 24380.43 25188.39 22292.66 21181.95 11994.30 25093.38 27979.06 25975.82 26485.66 29556.38 29993.84 31371.23 27275.38 26389.38 263
new_pmnet66.18 32763.18 33075.18 34376.27 36461.74 35283.79 34484.66 35756.64 36251.57 36071.85 36031.29 36487.93 35649.98 35462.55 34075.86 361
FMVSNet384.71 20582.71 22090.70 16794.55 16087.71 2095.92 19694.67 21281.73 20775.82 26488.08 26166.99 22594.47 30371.23 27275.38 26389.91 255
dp84.30 21482.31 22590.28 17894.24 17177.97 22886.57 33495.53 16479.94 24180.75 20785.16 30771.49 19896.39 22463.73 30983.36 21796.48 170
FMVSNet282.79 23780.44 25089.83 19692.66 21185.43 4895.42 21694.35 23179.06 25974.46 27687.28 26956.38 29994.31 30669.72 28274.68 26689.76 257
FMVSNet179.50 27376.54 28388.39 22288.47 29281.95 11994.30 25093.38 27973.14 31172.04 29685.66 29543.86 33693.84 31365.48 30172.53 27689.38 263
N_pmnet61.30 32960.20 33264.60 34784.32 33417.00 38291.67 30010.98 38161.77 34958.45 35278.55 34549.89 32091.83 33642.27 36463.94 33684.97 337
cascas86.50 17984.48 19392.55 10992.64 21485.95 3597.04 12695.07 19075.32 29380.50 20991.02 21954.33 31197.98 14786.79 13887.62 18493.71 222
BH-RMVSNet86.84 17385.28 17991.49 14595.35 13780.26 16696.95 13492.21 30382.86 19081.77 20095.46 14559.34 27397.64 16069.79 28193.81 13496.57 168
UGNet87.73 16286.55 16791.27 15195.16 14379.11 19596.35 17496.23 12588.14 6787.83 13590.48 22750.65 31699.09 10180.13 19494.03 12895.60 191
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-MVS92.65 6091.68 7695.56 1396.00 12188.90 1298.23 3397.65 1288.57 5789.82 10897.22 9979.29 8199.06 10289.57 11288.73 17498.73 40
XXY-MVS83.84 21882.00 22989.35 20387.13 30481.38 13895.72 20594.26 23480.15 23675.92 26390.63 22561.96 25996.52 22078.98 20773.28 27590.14 248
DROMVSNet91.73 7592.11 6990.58 16993.54 18777.77 23798.07 4494.40 22987.44 8192.99 6497.11 10474.59 16696.87 20793.75 5297.08 8997.11 149
sss90.87 9889.96 10593.60 6394.15 17283.84 8397.14 11398.13 785.93 10989.68 11096.09 13071.67 19499.30 7787.69 12989.16 16897.66 120
Test_1112_low_res88.03 15786.73 16591.94 13193.15 19980.88 14996.44 16792.41 30283.59 17680.74 20891.16 21780.18 7497.59 16277.48 22085.40 20597.36 139
1112_ss88.60 14387.47 15092.00 12993.21 19680.97 14796.47 16292.46 30183.64 17380.86 20697.30 9580.24 7397.62 16177.60 21785.49 20497.40 137
ab-mvs-re8.11 34610.81 3490.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38097.30 950.00 3840.00 3800.00 3780.00 3780.00 376
ab-mvs87.08 16884.94 18793.48 7093.34 19583.67 8788.82 31695.70 15681.18 21284.55 16490.14 23662.72 24998.94 11385.49 14582.54 22897.85 106
TR-MVS86.30 18284.93 18890.42 17394.63 15877.58 24196.57 15693.82 25680.30 23282.42 18895.16 15558.74 27797.55 16674.88 24587.82 18396.13 181
MDTV_nov1_ep13_2view81.74 13186.80 33280.65 22185.65 15174.26 16876.52 22996.98 152
MDTV_nov1_ep1383.69 20294.09 17481.01 14586.78 33396.09 13583.81 16984.75 16084.32 31674.44 16796.54 21963.88 30885.07 208
MIMVSNet169.44 32266.65 32677.84 33376.48 36262.84 34987.42 32888.97 33966.96 33957.75 35579.72 34332.77 36285.83 36246.32 36063.42 33884.85 338
MIMVSNet79.18 27775.99 28688.72 21787.37 30380.66 15579.96 34891.82 30877.38 27974.33 27781.87 33041.78 34590.74 34666.36 29983.10 21994.76 205
IterMVS-LS83.93 21782.80 21987.31 24991.46 24977.39 24595.66 20893.43 27780.44 22775.51 26887.26 27173.72 17595.16 28476.99 22370.72 28789.39 261
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet89.50 12188.96 12291.14 15591.94 24180.93 14897.09 12095.81 15184.26 15584.72 16194.20 17980.31 7195.64 26183.37 17288.96 17196.85 159
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
ACMMP++_ref78.45 252
IterMVS80.67 26479.16 26485.20 28189.79 27476.08 26492.97 28291.86 30780.28 23371.20 29985.14 30857.93 28591.34 34072.52 26470.74 28688.18 296
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS Recon91.72 7790.85 8794.34 3599.50 185.00 6398.51 2595.96 14280.57 22388.08 13397.63 7976.84 12099.89 785.67 14394.88 12198.13 80
MVS_111021_LR91.60 8291.64 7891.47 14695.74 12678.79 20496.15 18696.77 5588.49 5988.64 12597.07 10672.33 18899.19 9093.13 6996.48 10396.43 171
DP-MVS81.47 25578.28 26991.04 15698.14 6478.48 20995.09 23286.97 34861.14 35371.12 30092.78 19959.59 26999.38 6953.11 34786.61 19195.27 199
ACMMP++79.05 244
HQP-MVS87.91 16187.55 14788.98 21092.08 23278.48 20997.63 7294.80 20590.52 2982.30 18994.56 17065.40 23597.32 18187.67 13083.01 22091.13 233
QAPM86.88 17284.51 19193.98 4694.04 17685.89 3897.19 10696.05 13873.62 30675.12 27295.62 14162.02 25699.74 3370.88 27696.06 10896.30 178
Vis-MVSNetpermissive88.67 14087.82 13891.24 15292.68 21078.82 20196.95 13493.85 25587.55 8087.07 14295.13 15863.43 24697.21 18877.58 21896.15 10597.70 118
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet71.36 32067.00 32484.46 29490.58 26369.74 32679.15 35287.74 34746.09 36461.96 34350.50 36645.14 33495.64 26153.74 34588.11 18288.00 299
IS-MVSNet88.67 14088.16 13390.20 18193.61 18476.86 25396.77 14693.07 29384.02 16083.62 17695.60 14274.69 16596.24 23178.43 21193.66 13697.49 133
HyFIR lowres test89.36 12388.60 12791.63 14294.91 15380.76 15395.60 21095.53 16482.56 19684.03 16891.24 21678.03 10196.81 21187.07 13688.41 17997.32 140
EPMVS87.47 16585.90 17392.18 12295.41 13582.26 11587.00 33196.28 12285.88 11084.23 16685.57 29975.07 15996.26 22971.14 27592.50 14698.03 87
PAPM_NR91.46 8490.82 8893.37 7498.50 4581.81 12995.03 23396.13 13284.65 14286.10 15097.65 7779.24 8499.75 3183.20 17496.88 9698.56 47
TAMVS88.48 14587.79 13990.56 17091.09 25379.18 19296.45 16595.88 14783.64 17383.12 18193.33 19275.94 13795.74 25682.40 17988.27 18096.75 164
PAPR92.74 5392.17 6894.45 3198.89 2284.87 6697.20 10596.20 12887.73 7788.40 12898.12 4478.71 9299.76 2587.99 12896.28 10498.74 36
RPSCF77.73 28776.63 28281.06 32288.66 29155.76 36487.77 32687.88 34664.82 34374.14 27892.79 19849.22 32296.81 21167.47 29176.88 25890.62 238
Vis-MVSNet (Re-imp)88.88 13488.87 12588.91 21193.89 17974.43 28696.93 13694.19 23784.39 14983.22 18095.67 13978.24 9894.70 29978.88 20894.40 12797.61 125
test_040272.68 31469.54 32082.09 31888.67 29071.81 31092.72 28686.77 35061.52 35062.21 34183.91 31943.22 34093.76 31634.60 36672.23 28080.72 358
MVS_111021_HR93.41 4293.39 4393.47 7397.34 9982.83 10497.56 7998.27 689.16 4889.71 10997.14 10179.77 7899.56 5693.65 5697.94 6698.02 88
CSCG92.02 7191.65 7793.12 8298.53 4180.59 15697.47 8697.18 2277.06 28584.64 16397.98 5783.98 4299.52 5890.72 9597.33 8299.23 22
PatchMatch-RL85.00 20183.66 20489.02 20995.86 12474.55 28492.49 28893.60 27079.30 25379.29 22391.47 21158.53 27998.45 13470.22 28092.17 15294.07 217
API-MVS90.18 11288.97 12193.80 5298.66 3282.95 10397.50 8595.63 16175.16 29586.31 14797.69 7172.49 18699.90 581.26 18596.07 10798.56 47
Test By Simon71.65 195
TDRefinement69.20 32465.78 32879.48 32966.04 37162.21 35088.21 32186.12 35262.92 34561.03 34685.61 29833.23 36094.16 30855.82 34153.02 35482.08 355
USDC78.65 27976.25 28485.85 27187.58 30174.60 28389.58 31190.58 32984.05 15963.13 33788.23 25840.69 35096.86 20966.57 29675.81 26186.09 328
EPP-MVSNet89.76 11789.72 11289.87 19493.78 18076.02 26897.22 10196.51 9579.35 25085.11 15595.01 16384.82 3497.10 19587.46 13288.21 18196.50 169
PMMVS89.46 12289.92 10788.06 23194.64 15769.57 32896.22 18294.95 19687.27 8691.37 8696.54 12465.88 23197.39 17888.54 12193.89 13297.23 146
PAPM92.87 5192.40 6194.30 3692.25 22587.85 1896.40 17196.38 11491.07 2388.72 12496.90 11082.11 6197.37 18090.05 10697.70 7197.67 119
ACMMPcopyleft90.39 10889.97 10491.64 14097.58 8678.21 22296.78 14496.72 6384.73 13884.72 16197.23 9871.22 19999.63 4988.37 12692.41 14897.08 151
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
CNLPA86.96 16985.37 17891.72 13897.59 8579.34 18997.21 10391.05 32174.22 30278.90 22496.75 12067.21 22498.95 11174.68 24790.77 16096.88 158
PatchmatchNetpermissive86.83 17485.12 18491.95 13094.12 17382.27 11486.55 33595.64 16084.59 14482.98 18484.99 31177.26 11295.96 24168.61 28791.34 15797.64 122
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS93.59 4093.63 3793.48 7098.05 6981.76 13098.64 2097.13 2382.60 19594.09 5298.49 2580.35 7099.85 1094.74 4498.62 3598.83 33
F-COLMAP84.50 21083.44 21087.67 23795.22 14072.22 30195.95 19493.78 26175.74 29076.30 25495.18 15459.50 27198.45 13472.67 26386.59 19292.35 230
ANet_high46.22 33541.28 34061.04 35139.91 37946.25 37170.59 36576.18 37058.87 36023.09 37148.00 36812.58 37466.54 37128.65 36913.62 37270.35 363
wuyk23d14.10 34313.89 34614.72 35855.23 37422.91 38133.83 3713.56 3824.94 3754.11 3762.28 3782.06 38119.66 37710.23 3758.74 3751.59 375
OMC-MVS88.80 13788.16 13390.72 16695.30 13877.92 23294.81 23894.51 22286.80 9684.97 15796.85 11367.53 22098.60 12685.08 14887.62 18495.63 190
MG-MVS94.25 2693.72 3695.85 1199.38 389.35 1197.98 4998.09 889.99 3692.34 7096.97 10981.30 6498.99 10688.54 12198.88 2199.20 23
AdaColmapbinary88.81 13687.61 14592.39 11499.33 479.95 17196.70 15295.58 16277.51 27783.05 18396.69 12261.90 26099.72 3684.29 15493.47 13797.50 132
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
ITE_SJBPF82.38 31587.00 30565.59 34089.55 33479.99 24069.37 31191.30 21541.60 34795.33 27562.86 31474.63 26786.24 325
DeepMVS_CXcopyleft64.06 34878.53 35443.26 37268.11 37569.94 32938.55 36576.14 35018.53 37079.34 36543.72 36341.62 36669.57 364
TinyColmap72.41 31568.99 32282.68 31388.11 29669.59 32788.41 32085.20 35565.55 34057.91 35384.82 31330.80 36595.94 24251.38 34968.70 30582.49 353
MAR-MVS90.63 10290.22 9891.86 13398.47 4778.20 22397.18 10796.61 8083.87 16788.18 13298.18 3568.71 21599.75 3183.66 16697.15 8897.63 123
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
LF4IMVS72.36 31670.82 31376.95 33579.18 35256.33 36186.12 33786.11 35369.30 33263.06 33886.66 28133.03 36192.25 33065.33 30268.64 30682.28 354
MSDG80.62 26577.77 27389.14 20693.43 19477.24 24791.89 29590.18 33069.86 33068.02 31491.94 20852.21 31498.84 11759.32 32683.12 21891.35 232
LS3D82.22 24779.94 25989.06 20797.43 9274.06 29093.20 27892.05 30561.90 34873.33 28495.21 15159.35 27299.21 8554.54 34392.48 14793.90 220
CLD-MVS87.97 15987.48 14989.44 20292.16 23080.54 15998.14 3694.92 19791.41 1879.43 22195.40 14662.34 25197.27 18690.60 9782.90 22390.50 241
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS55.09 33152.93 33461.57 35055.98 37240.51 37583.11 34583.41 36337.61 36634.95 36771.95 35814.40 37276.95 36629.81 36765.16 33167.25 365
Gipumacopyleft45.11 33642.05 33854.30 35280.69 34751.30 36835.80 37083.81 36128.13 36827.94 37034.53 37011.41 37676.70 36821.45 37054.65 34934.90 370
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015