This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
DeepPCF-MVS80.84 188.10 888.56 886.73 4392.24 5569.03 8589.57 6893.39 1877.53 3989.79 894.12 2578.98 296.58 2385.66 1495.72 1194.58 8
DeepC-MVS79.81 287.08 2786.88 2787.69 2791.16 6772.32 4090.31 4993.94 677.12 4482.82 6694.23 2172.13 3597.09 684.83 2295.37 1893.65 49
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast79.65 386.91 2886.62 2987.76 2293.52 3372.37 3991.26 3193.04 2676.62 5884.22 4993.36 3971.44 3896.76 1380.82 5795.33 2194.16 21
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+77.84 485.48 4784.47 5588.51 391.08 6873.49 1493.18 493.78 880.79 1176.66 15893.37 3860.40 16796.75 1477.20 8593.73 4995.29 1
3Dnovator76.31 583.38 7082.31 7786.59 4787.94 16072.94 2590.64 4192.14 6377.21 4275.47 18592.83 5158.56 17494.72 8373.24 12792.71 5592.13 100
ACMP74.13 681.51 9780.57 9884.36 9089.42 10668.69 10189.97 5691.50 9474.46 9675.04 20190.41 9653.82 21394.54 8577.56 8182.91 17189.86 183
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PCF-MVS73.52 780.38 12678.84 14085.01 7487.71 17668.99 8883.65 24791.46 9563.00 27277.77 13890.28 9766.10 8095.09 6661.40 22688.22 10490.94 130
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
ACMM73.20 880.78 11579.84 11183.58 11789.31 11568.37 10589.99 5591.60 8770.28 17977.25 14789.66 11153.37 21693.53 13874.24 11682.85 17288.85 216
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TAPA-MVS73.13 979.15 15677.94 15982.79 16289.59 9962.99 22488.16 11591.51 9165.77 24677.14 15291.09 8260.91 15793.21 14950.26 29187.05 11692.17 99
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
OpenMVScopyleft72.83 1079.77 14278.33 15384.09 10085.17 21469.91 7090.57 4290.97 10566.70 23272.17 23391.91 6154.70 20593.96 10761.81 22390.95 6988.41 238
PLCcopyleft70.83 1178.05 17876.37 18983.08 13891.88 6267.80 11688.19 11389.46 15764.33 26269.87 26588.38 14653.66 21493.58 13358.86 24782.73 17487.86 246
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
HY-MVS69.67 1277.95 18277.15 17680.36 21387.57 18360.21 24783.37 25887.78 20766.11 24175.37 19087.06 18763.27 10490.48 23961.38 22782.43 17990.40 157
LTVRE_ROB69.57 1376.25 22074.54 22781.41 19788.60 14064.38 18979.24 29189.12 16970.76 17169.79 26787.86 15849.09 27793.20 15156.21 26880.16 20486.65 274
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
ACMH+68.96 1476.01 22774.01 23282.03 17788.60 14065.31 15888.86 8687.55 21070.25 18067.75 28787.47 17241.27 31893.19 15258.37 25275.94 25887.60 251
IB-MVS68.01 1575.85 22973.36 23883.31 12584.76 22166.03 14083.38 25185.06 23770.21 18169.40 26981.05 29745.76 29694.66 8465.10 19875.49 26589.25 199
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
ACMH67.68 1675.89 22873.93 23381.77 18388.71 13866.61 13488.62 9689.01 17369.81 18566.78 29786.70 19741.95 31791.51 21655.64 26978.14 22787.17 262
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
COLMAP_ROBcopyleft66.92 1773.01 26470.41 27180.81 20887.13 19165.63 14888.30 10984.19 24662.96 27363.80 31787.69 16538.04 33192.56 17646.66 31474.91 27384.24 307
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PVSNet64.34 1872.08 27170.87 26975.69 28886.21 20256.44 29174.37 32380.73 29062.06 28470.17 25782.23 27942.86 31083.31 31154.77 27284.45 14787.32 258
OpenMVS_ROBcopyleft64.09 1970.56 28168.19 28477.65 26480.26 30959.41 25385.01 21882.96 26758.76 30865.43 30682.33 27737.63 33491.23 22445.34 32376.03 25782.32 323
PVSNet_057.27 2061.67 31659.27 31768.85 32579.61 31857.44 27668.01 34373.44 34255.93 32658.54 33270.41 34344.58 30177.55 33347.01 30935.91 35571.55 349
CMPMVSbinary51.72 2170.19 28568.16 28576.28 28473.15 34557.55 27479.47 28983.92 24848.02 34756.48 34084.81 25343.13 30786.42 29462.67 21481.81 18584.89 301
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PMVScopyleft37.38 2244.16 33640.28 33855.82 34240.82 37042.54 34965.12 35063.99 36234.43 35724.48 36157.12 3563.92 37076.17 33817.10 36255.52 34648.75 357
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive26.22 2330.37 34425.89 34643.81 35044.55 36935.46 36028.87 36639.07 36918.20 36418.58 36540.18 3602.68 37147.37 36617.07 36323.78 35948.60 358
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DPM-MVS84.93 5684.29 5786.84 4090.20 8373.04 2087.12 15293.04 2669.80 18682.85 6591.22 7873.06 2696.02 3576.72 9394.63 3491.46 118
GST-MVS87.42 1987.26 1887.89 2094.12 2572.97 2192.39 1593.43 1676.89 5084.68 4093.99 2970.67 4596.82 1084.18 3295.01 2593.90 35
test_yl81.17 10180.47 10183.24 12989.13 12263.62 20286.21 18289.95 14272.43 14681.78 7989.61 11357.50 18293.58 13370.75 14886.90 11992.52 85
thisisatest053079.40 15177.76 16684.31 9387.69 17865.10 16487.36 13784.26 24570.04 18277.42 14388.26 15149.94 26894.79 8070.20 15484.70 14493.03 71
Anonymous2024052980.19 13278.89 13984.10 9990.60 7664.75 17388.95 8390.90 10765.97 24580.59 9491.17 8049.97 26693.73 13069.16 16682.70 17693.81 40
Anonymous20240521178.25 17177.01 17881.99 17891.03 6960.67 24384.77 22283.90 24970.65 17480.00 9791.20 7941.08 32091.43 21765.21 19685.26 13893.85 37
DCV-MVSNet81.17 10180.47 10183.24 12989.13 12263.62 20286.21 18289.95 14272.43 14681.78 7989.61 11357.50 18293.58 13370.75 14886.90 11992.52 85
tttt051779.40 15177.91 16083.90 11188.10 15563.84 20088.37 10784.05 24771.45 16276.78 15589.12 12749.93 27094.89 7470.18 15583.18 16892.96 76
our_test_369.14 29167.00 29775.57 29079.80 31558.80 25577.96 30477.81 31859.55 30162.90 32178.25 31847.43 28383.97 30651.71 28367.58 31483.93 311
thisisatest051577.33 20375.38 21383.18 13285.27 21363.80 20182.11 26583.27 25965.06 25375.91 17683.84 26249.54 27294.27 9367.24 18086.19 13191.48 117
ppachtmachnet_test70.04 28667.34 29678.14 25779.80 31561.13 23779.19 29380.59 29159.16 30565.27 30779.29 31146.75 28987.29 28749.33 29566.72 31986.00 291
SMA-MVS89.08 489.23 488.61 294.25 1973.73 792.40 1493.63 1074.77 9392.29 195.97 274.28 1897.24 388.58 496.91 194.87 5
tfpn11176.54 21275.51 20979.61 23089.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23392.06 18948.04 30683.73 15789.78 187
conf0.0173.67 24972.42 24877.42 26887.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20889.78 187
GSMVS88.96 213
ESAPD89.48 189.98 188.01 1094.80 472.69 2991.59 2794.10 175.90 7192.29 195.66 381.67 197.38 187.44 1196.34 493.95 32
conf0.00273.67 24972.42 24877.42 26887.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20889.78 187
thresconf0.0273.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpn_n40073.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpnconf73.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpnview1173.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpn100073.44 25372.49 24676.29 28387.81 17053.69 31584.05 24478.81 31367.99 22472.09 23786.27 21749.95 26789.04 26744.09 33181.38 18886.15 284
test_part295.06 172.65 3091.80 3
tfpn_ndepth73.70 24772.75 24376.52 27787.78 17454.92 30784.32 23880.28 29867.57 22772.50 22184.82 25250.12 26489.44 25445.73 32081.66 18685.20 296
test_part10.00 3600.00 3750.00 36794.09 20.00 3770.00 3720.00 3690.00 3700.00 370
conf200view1176.55 21175.55 20779.57 23389.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23391.95 19148.33 29983.75 15389.78 187
thres100view90076.50 21475.55 20779.33 23589.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23391.95 19148.33 29983.75 15389.07 200
tfpnnormal74.39 24073.16 24078.08 25886.10 20358.05 26384.65 22787.53 21170.32 17871.22 24685.63 23654.97 20089.86 24543.03 33475.02 27286.32 281
tfpn200view976.42 21775.37 21479.55 23489.13 12257.65 27285.17 21383.60 25273.41 12176.45 16186.39 21152.12 22691.95 19148.33 29983.75 15389.07 200
view60076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
view80076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
conf0.05thres100076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
tfpn76.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
v1.037.66 34050.21 3310.00 36095.06 10.00 3750.00 36794.09 275.63 7691.80 395.29 40.00 3770.00 3720.00 3690.00 3700.00 370
CHOSEN 280x42066.51 30564.71 30471.90 31081.45 29563.52 20757.98 35768.95 35553.57 33562.59 32276.70 32646.22 29175.29 34255.25 27079.68 20776.88 345
CANet86.45 3386.10 3787.51 3090.09 8670.94 5489.70 6492.59 4781.78 481.32 8491.43 7570.34 4697.23 484.26 2993.36 5094.37 15
Fast-Effi-MVS+-dtu78.02 17976.49 18682.62 16883.16 26966.96 13186.94 15887.45 21472.45 14371.49 24484.17 25854.79 20491.58 21567.61 17480.31 20389.30 198
Effi-MVS+-dtu80.03 13778.57 14584.42 8885.13 21768.74 9688.77 9088.10 20074.99 8874.97 20283.49 26857.27 18593.36 14573.53 12380.88 19391.18 123
CANet_DTU80.61 11779.87 11082.83 15785.60 20963.17 22087.36 13788.65 19176.37 6475.88 17788.44 14553.51 21593.07 15973.30 12689.74 8392.25 95
MVS_030486.37 3885.81 4288.02 990.13 8472.39 3789.66 6692.75 4281.64 682.66 7192.04 5864.44 9497.35 284.76 2394.25 4594.33 18
MP-MVS-pluss87.67 1487.72 1387.54 2993.64 3172.04 4389.80 6093.50 1375.17 8786.34 2095.29 470.86 4196.00 3788.78 396.04 594.58 8
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HSP-MVS89.28 289.76 287.85 2194.28 1873.46 1592.90 892.73 4380.27 1391.35 594.16 2378.35 396.77 1289.59 194.22 4693.33 60
sam_mvs151.32 24588.96 213
sam_mvs50.01 265
IterMVS-SCA-FT75.43 23473.87 23580.11 21982.69 28164.85 17081.57 27383.47 25669.16 19970.49 25384.15 25951.95 23188.15 28169.23 16472.14 29587.34 257
TSAR-MVS + MP.88.02 1288.11 1087.72 2593.68 3072.13 4291.41 3092.35 5674.62 9588.90 993.85 3175.75 996.00 3787.80 694.63 3495.04 2
xiu_mvs_v1_base_debu80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
OPM-MVS83.50 6682.95 6885.14 7088.79 13570.95 5389.13 8091.52 9077.55 3880.96 9191.75 6460.71 15994.50 8879.67 6586.51 12789.97 180
ACMMP_NAP88.05 1188.08 1187.94 1393.70 2873.05 1990.86 3793.59 1176.27 6788.14 1195.09 671.06 4096.67 1687.67 796.37 394.09 24
ambc75.24 29473.16 34450.51 33563.05 35387.47 21364.28 31377.81 32217.80 35989.73 24857.88 25760.64 33985.49 293
zzz-MVS87.53 1687.41 1787.90 1794.18 2374.25 290.23 5192.02 6679.45 1985.88 2294.80 768.07 6396.21 3086.69 1295.34 1993.23 62
MTGPAbinary92.02 66
mvs-test180.88 10579.40 12485.29 6685.13 21769.75 7489.28 7188.10 20074.99 8876.44 16486.72 19257.27 18594.26 9773.53 12383.18 16891.87 105
Effi-MVS+83.62 6583.08 6585.24 6888.38 14967.45 12088.89 8589.15 16875.50 7982.27 7288.28 14969.61 5594.45 8977.81 7987.84 10593.84 39
xiu_mvs_v2_base81.69 9181.05 9383.60 11689.15 12168.03 11384.46 23290.02 14070.67 17281.30 8786.53 20863.17 10794.19 9975.60 10588.54 9988.57 232
xiu_mvs_v1_base80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
new-patchmatchnet61.73 31561.73 31561.70 33772.74 34624.50 36869.16 33878.03 31761.40 28756.72 33975.53 33138.42 32976.48 33745.95 31957.67 34284.13 309
pmmvs674.69 23873.39 23778.61 25081.38 29757.48 27586.64 16987.95 20464.99 25670.18 25686.61 20350.43 26289.52 25162.12 21970.18 30588.83 217
pmmvs571.55 27370.20 27375.61 28977.83 32756.39 29281.74 26980.89 28757.76 31567.46 29084.49 25649.26 27685.32 30257.08 26475.29 26985.11 300
test_post178.90 2975.43 36848.81 28085.44 30159.25 243
test_post5.46 36750.36 26384.24 305
Fast-Effi-MVS+80.81 11079.92 10983.47 11988.85 12964.51 18085.53 20889.39 15970.79 16978.49 11485.06 24867.54 6993.58 13367.03 18486.58 12592.32 92
patchmatchnet-post74.00 33551.12 24888.60 276
Anonymous2023121178.97 16177.69 16882.81 15990.54 7764.29 19090.11 5491.51 9165.01 25576.16 17588.13 15650.56 26093.03 16369.68 16177.56 23191.11 125
pmmvs-eth3d70.50 28267.83 29178.52 25377.37 33066.18 13981.82 26781.51 28458.90 30763.90 31680.42 30342.69 31186.28 29558.56 25065.30 32983.11 318
GG-mvs-BLEND75.38 29381.59 29355.80 30379.32 29069.63 35067.19 29373.67 33743.24 30688.90 27450.41 28884.50 14581.45 328
xiu_mvs_v1_base_debi80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
Anonymous2023120668.60 29367.80 29271.02 31780.23 31150.75 33478.30 30280.47 29356.79 32266.11 30382.63 27546.35 29078.95 32643.62 33375.70 26183.36 315
MTAPA87.23 2387.00 2387.90 1794.18 2374.25 286.58 17192.02 6679.45 1985.88 2294.80 768.07 6396.21 3086.69 1295.34 1993.23 62
MTMP92.18 2132.83 370
gm-plane-assit81.40 29653.83 31462.72 27880.94 30092.39 18063.40 208
test9_res84.90 1995.70 1492.87 77
MVP-Stereo76.12 22574.46 22981.13 20485.37 21269.79 7284.42 23587.95 20465.03 25467.46 29085.33 24353.28 21791.73 20158.01 25683.27 16681.85 326
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST993.26 3872.96 2288.75 9291.89 7568.44 21385.00 3293.10 4374.36 1795.41 52
train_agg86.43 3486.20 3487.13 3693.26 3872.96 2288.75 9291.89 7568.69 20985.00 3293.10 4374.43 1495.41 5284.97 1795.71 1293.02 72
gg-mvs-nofinetune69.95 28767.96 28875.94 28683.07 27054.51 31077.23 30870.29 34863.11 27070.32 25462.33 35043.62 30588.69 27553.88 27687.76 10684.62 305
SCA74.22 24372.33 25579.91 22284.05 24662.17 23279.96 28579.29 30566.30 24072.38 23180.13 30551.95 23188.60 27659.25 24377.67 23088.96 213
Patchmatch-test64.82 31163.24 30969.57 32179.42 32049.82 33863.49 35269.05 35451.98 34159.95 32980.13 30550.91 24970.98 35340.66 33973.57 28587.90 245
test_893.13 4072.57 3388.68 9591.84 7868.69 20984.87 3893.10 4374.43 1495.16 60
MS-PatchMatch73.83 24672.67 24477.30 27283.87 24966.02 14181.82 26784.66 24061.37 28968.61 28182.82 27347.29 28488.21 28059.27 24284.32 14877.68 339
Patchmatch-RL test70.24 28467.78 29377.61 26577.43 32959.57 25071.16 32870.33 34762.94 27468.65 27972.77 33850.62 25385.49 30069.58 16266.58 32187.77 248
agg_prior386.16 4085.85 4187.10 3793.31 3572.86 2688.77 9091.68 8568.29 22184.26 4892.83 5172.83 2995.42 5184.97 1795.71 1293.02 72
cdsmvs_eth3d_5k19.96 34526.61 3450.00 3600.00 3750.00 3750.00 36789.26 1650.00 3700.00 37288.61 13961.62 1430.00 3720.00 3690.00 3700.00 370
pcd_1.5k_mvsjas5.26 3517.02 3520.00 3600.00 3750.00 3750.00 3670.00 3770.00 3700.00 3720.00 37263.15 1080.00 3720.00 3690.00 3700.00 370
pcd1.5k->3k34.07 34135.26 34130.50 35486.92 1930.00 3750.00 36791.58 880.00 3700.00 3720.00 37256.23 1930.00 3720.00 36982.60 17791.49 115
agg_prior186.22 3986.09 3886.62 4692.85 4671.94 4488.59 9791.78 8168.96 20684.41 4593.18 4274.94 1094.93 6984.75 2495.33 2193.01 74
agg_prior282.91 4295.45 1692.70 79
agg_prior92.85 4671.94 4491.78 8184.41 4594.93 69
tmp_tt18.61 34621.40 34710.23 3574.82 37210.11 37134.70 36430.74 3711.48 36723.91 36326.07 36528.42 34513.41 36927.12 35715.35 3657.17 365
canonicalmvs85.91 4285.87 4086.04 5889.84 9269.44 8390.45 4793.00 3076.70 5788.01 1491.23 7773.28 2493.91 11281.50 5288.80 9294.77 6
anonymousdsp78.60 16677.15 17682.98 14480.51 30867.08 12787.24 14589.53 15465.66 24875.16 19787.19 18052.52 21892.25 18577.17 8679.34 21889.61 194
alignmvs85.48 4785.32 4785.96 6089.51 10469.47 8189.74 6292.47 4976.17 6887.73 1691.46 7470.32 4793.78 12181.51 5188.95 8894.63 7
nrg03083.88 6083.53 5984.96 7586.77 19769.28 8490.46 4692.67 4474.79 9282.95 6291.33 7672.70 3093.09 15880.79 5879.28 21992.50 87
v14419279.47 14878.37 15182.78 16383.35 26163.96 19886.96 15790.36 12469.99 18377.50 14185.67 23460.66 16193.77 12374.27 11576.58 25190.62 142
FIs82.07 8582.42 7381.04 20588.80 13458.34 26088.26 11293.49 1476.93 4978.47 11591.04 8469.92 5192.34 18369.87 15984.97 14092.44 89
v192192079.22 15578.03 15782.80 16083.30 26363.94 19986.80 16390.33 12669.91 18477.48 14285.53 23958.44 17593.75 12573.60 12276.85 24590.71 137
UA-Net85.08 5584.96 5185.45 6392.07 5868.07 11289.78 6190.86 10982.48 284.60 4393.20 4169.35 5795.22 5871.39 14790.88 7093.07 69
v119279.59 14578.43 15083.07 13983.55 25864.52 17886.93 15990.58 11570.83 16877.78 13785.90 22859.15 17193.94 10973.96 11877.19 23790.76 134
FC-MVSNet-test81.52 9582.02 8180.03 22088.42 14855.97 29887.95 11993.42 1777.10 4577.38 14490.98 8969.96 5091.79 19768.46 17184.50 14592.33 91
v114480.03 13779.03 13683.01 14283.78 25464.51 18087.11 15390.57 11671.96 15478.08 13386.20 21961.41 14793.94 10974.93 11177.23 23590.60 144
sosnet-low-res0.00 3520.00 3530.00 3600.00 3750.00 3750.00 3670.00 3770.00 3700.00 3720.00 3720.00 3770.00 3720.00 3690.00 3700.00 370
HFP-MVS87.58 1587.47 1687.94 1394.58 873.54 1293.04 593.24 2076.78 5384.91 3494.44 1570.78 4296.61 1984.53 2594.89 2993.66 44
v14878.72 16477.80 16381.47 19682.73 27961.96 23486.30 18088.08 20273.26 12376.18 17285.47 24162.46 13392.36 18271.92 14473.82 28490.09 167
sosnet0.00 3520.00 3530.00 3600.00 3750.00 3750.00 3670.00 3770.00 3700.00 3720.00 3720.00 3770.00 3720.00 3690.00 3700.00 370
v74877.97 18176.65 18581.92 18182.29 28663.28 21587.53 13290.35 12573.50 12070.76 24985.55 23858.28 17692.81 17168.81 16972.76 29189.67 193
uncertanet0.00 3520.00 3530.00 3600.00 3750.00 3750.00 3670.00 3770.00 3700.00 3720.00 3720.00 3770.00 3720.00 3690.00 3700.00 370
AllTest70.96 27768.09 28779.58 23185.15 21563.62 20284.58 22979.83 30162.31 28160.32 32786.73 19032.02 34288.96 27150.28 28971.57 29986.15 284
TestCases79.58 23185.15 21563.62 20279.83 30162.31 28160.32 32786.73 19032.02 34288.96 27150.28 28971.57 29986.15 284
v7n78.97 16177.58 17083.14 13583.45 26065.51 15188.32 10891.21 10073.69 11472.41 23086.32 21657.93 17893.81 11969.18 16575.65 26290.11 165
v114180.19 13279.31 12882.85 15483.84 25164.12 19487.14 14790.08 13773.13 12778.27 12486.39 21162.67 12593.75 12575.40 10776.83 24790.68 138
region2R87.42 1987.20 2188.09 794.63 773.55 1093.03 793.12 2576.73 5684.45 4494.52 1069.09 5996.70 1584.37 2894.83 3194.03 27
testing_275.73 23073.34 23982.89 15377.37 33065.22 16084.10 24290.54 11769.09 20060.46 32681.15 29640.48 32292.84 17076.36 9480.54 20190.60 144
test_normal79.81 14178.45 14783.89 11282.70 28065.40 15385.82 19689.48 15669.39 19270.12 25985.66 23557.15 18993.71 13177.08 8788.62 9692.56 84
v1neww80.40 12379.54 11882.98 14484.10 23864.51 18087.57 12890.22 13073.25 12478.47 11586.65 20062.83 11693.86 11575.72 10077.02 23990.58 147
PS-MVSNAJss82.07 8581.31 8784.34 9286.51 19967.27 12589.27 7291.51 9171.75 15579.37 10290.22 10063.15 10894.27 9377.69 8082.36 18091.49 115
PS-MVSNAJ81.69 9181.02 9483.70 11489.51 10468.21 11084.28 23990.09 13670.79 16981.26 8885.62 23763.15 10894.29 9175.62 10488.87 9188.59 230
jajsoiax79.29 15477.96 15883.27 12784.68 22366.57 13589.25 7490.16 13469.20 19875.46 18689.49 11745.75 29793.13 15676.84 9180.80 19590.11 165
mvs_tets79.13 15777.77 16583.22 13184.70 22266.37 13789.17 7590.19 13369.38 19475.40 18989.46 12044.17 30393.15 15476.78 9280.70 19790.14 163
#test#87.33 2287.13 2287.94 1394.58 873.54 1292.34 1793.24 2075.23 8484.91 3494.44 1570.78 4296.61 1983.75 3494.89 2993.66 44
EI-MVSNet-UG-set83.81 6183.38 6185.09 7287.87 16167.53 11987.44 13689.66 15179.74 1882.23 7389.41 12470.24 4894.74 8279.95 6383.92 15092.99 75
EI-MVSNet-Vis-set84.19 5883.81 5885.31 6588.18 15367.85 11587.66 12589.73 15080.05 1782.95 6289.59 11570.74 4494.82 7880.66 5984.72 14393.28 61
Regformer-385.23 5285.07 5085.70 6288.95 12769.01 8788.29 11089.91 14680.95 985.01 3190.01 10572.45 3294.19 9982.50 4687.57 10793.90 35
Regformer-485.68 4685.45 4486.35 4988.95 12769.67 7588.29 11091.29 9881.73 585.36 2890.01 10572.62 3195.35 5783.28 3787.57 10794.03 27
Regformer-186.41 3686.33 3186.64 4589.33 11070.93 5588.43 10091.39 9682.14 386.65 1990.09 10274.39 1695.01 6883.97 3390.63 7293.97 31
Regformer-286.63 3286.53 3086.95 3989.33 11071.24 4988.43 10092.05 6582.50 186.88 1890.09 10274.45 1395.61 4384.38 2790.63 7294.01 29
v7new80.40 12379.54 11882.98 14484.10 23864.51 18087.57 12890.22 13073.25 12478.47 11586.65 20062.83 11693.86 11575.72 10077.02 23990.58 147
HPM-MVS++copyleft89.02 589.15 588.63 195.01 376.03 192.38 1692.85 3880.26 1487.78 1594.27 1975.89 896.81 1187.45 1096.44 293.05 70
test_prior472.60 3289.01 82
XVS87.18 2486.91 2688.00 1194.42 1373.33 1792.78 992.99 3279.14 2183.67 5694.17 2267.45 7096.60 2183.06 3994.50 3794.07 25
v124078.99 16077.78 16482.64 16783.21 26563.54 20686.62 17090.30 12869.74 19077.33 14585.68 23357.04 19093.76 12473.13 12876.92 24290.62 142
test_prior386.73 2986.86 2886.33 5092.61 5169.59 7788.85 8792.97 3575.41 8084.91 3493.54 3374.28 1895.48 4783.31 3595.86 893.91 33
v1877.67 19176.35 19381.64 19184.09 24064.47 18687.27 14389.01 17372.59 14269.39 27082.04 28362.85 11491.80 19672.72 13167.20 31688.63 224
pm-mvs177.25 20476.68 18478.93 24584.22 23058.62 25786.41 17688.36 19771.37 16373.31 21288.01 15761.22 15289.15 26564.24 20473.01 28889.03 208
test_prior288.85 8775.41 8084.91 3493.54 3374.28 1883.31 3595.86 8
X-MVStestdata80.37 12777.83 16288.00 1194.42 1373.33 1792.78 992.99 3279.14 2183.67 5612.47 36667.45 7096.60 2183.06 3994.50 3794.07 25
test_prior86.33 5092.61 5169.59 7792.97 3595.48 4793.91 33
v1777.68 18976.35 19381.69 18884.15 23564.65 17587.33 14088.99 17572.70 14069.25 27482.07 28262.82 11891.79 19772.69 13367.15 31788.63 224
v1677.69 18876.36 19281.68 18984.15 23564.63 17787.33 14088.99 17572.69 14169.31 27382.08 28162.80 11991.79 19772.70 13267.23 31588.63 224
divwei89l23v2f11280.19 13279.31 12882.85 15483.84 25164.11 19687.13 15090.08 13773.13 12778.27 12486.39 21162.69 12393.75 12575.40 10776.82 24890.68 138
v1577.51 19676.12 19681.66 19084.09 24064.65 17587.14 14788.96 17972.76 13868.90 27581.91 29062.74 12191.73 20172.32 13766.29 32388.61 227
旧先验286.56 17258.10 31187.04 1788.98 26974.07 117
新几何286.29 181
新几何183.42 12193.13 4070.71 5985.48 23357.43 31881.80 7891.98 6063.28 10392.27 18464.60 20392.99 5187.27 259
旧先验191.96 5965.79 14786.37 22593.08 4769.31 5892.74 5488.74 221
无先验87.48 13488.98 17760.00 29794.12 10267.28 17888.97 212
原ACMM286.86 161
原ACMM184.35 9193.01 4468.79 9192.44 5063.96 26781.09 8991.57 7066.06 8295.45 4967.19 18194.82 3288.81 218
v1377.50 19876.07 20181.77 18384.23 22965.07 16587.34 13988.91 18572.92 13368.35 28481.97 28662.53 13191.69 20772.20 14166.22 32688.56 233
v1277.51 19676.09 20081.76 18584.22 23064.99 16687.30 14288.93 18472.92 13368.48 28381.97 28662.54 13091.70 20672.24 14066.21 32788.58 231
test22291.50 6468.26 10884.16 24083.20 26454.63 33079.74 9891.63 6858.97 17291.42 6486.77 271
testdata291.01 23262.37 216
segment_acmp73.08 25
testdata79.97 22190.90 7264.21 19184.71 23959.27 30485.40 2792.91 4862.02 14089.08 26668.95 16791.37 6586.63 275
testdata184.14 24175.71 73
v879.97 13979.02 13782.80 16084.09 24064.50 18487.96 11890.29 12974.13 10275.24 19686.81 18962.88 11393.89 11474.39 11475.40 26790.00 173
131476.53 21375.30 21680.21 21883.93 24862.32 23084.66 22488.81 18660.23 29570.16 25884.07 26055.30 19990.73 23667.37 17783.21 16787.59 252
112180.84 10779.77 11284.05 10293.11 4270.78 5884.66 22485.42 23457.37 31981.76 8192.02 5963.41 10194.12 10267.28 17892.93 5287.26 260
LFMVS81.82 9081.23 8983.57 11891.89 6163.43 21289.84 5781.85 28277.04 4783.21 5993.10 4352.26 22493.43 14471.98 14289.95 8193.85 37
v780.24 12979.26 13283.15 13484.07 24464.94 16887.56 13190.67 11172.26 15078.28 12386.51 20961.45 14694.03 10675.14 11077.41 23390.49 152
v680.40 12379.54 11882.98 14484.09 24064.50 18487.57 12890.22 13073.25 12478.47 11586.63 20262.84 11593.86 11575.73 9977.02 23990.58 147
VDD-MVS83.01 7582.36 7684.96 7591.02 7066.40 13688.91 8488.11 19977.57 3584.39 4793.29 4052.19 22593.91 11277.05 8888.70 9494.57 10
v1177.45 19976.06 20281.59 19484.22 23064.52 17887.11 15389.02 17172.76 13868.76 27781.90 29162.09 13991.71 20571.98 14266.73 31888.56 233
VDDNet81.52 9580.67 9784.05 10290.44 7964.13 19389.73 6385.91 23171.11 16583.18 6093.48 3550.54 26193.49 13973.40 12588.25 10394.54 12
v5277.94 18476.37 18982.67 16579.39 32265.52 14986.43 17489.94 14472.28 14872.15 23584.94 25155.70 19693.44 14273.64 12072.84 29089.06 202
V1477.52 19476.12 19681.70 18784.15 23564.77 17287.21 14688.95 18072.80 13768.79 27681.94 28962.69 12391.72 20372.31 13866.27 32488.60 228
v1079.74 14378.67 14182.97 14884.06 24564.95 16787.88 12390.62 11473.11 13075.11 19986.56 20661.46 14594.05 10573.68 11975.55 26489.90 181
V477.95 18276.37 18982.67 16579.40 32165.52 14986.43 17489.94 14472.28 14872.14 23684.95 25055.72 19593.44 14273.64 12072.86 28989.05 206
VPNet78.69 16578.66 14278.76 24888.31 15155.72 30484.45 23386.63 22176.79 5278.26 12790.55 9559.30 17089.70 24966.63 18577.05 23890.88 131
MVS78.19 17576.99 17981.78 18285.66 20766.99 12884.66 22490.47 11955.08 32972.02 23885.27 24463.83 9994.11 10466.10 18989.80 8284.24 307
v2v48280.23 13079.29 13183.05 14083.62 25664.14 19287.04 15589.97 14173.61 11578.18 13087.22 17861.10 15493.82 11876.11 9576.78 25091.18 123
v180.19 13279.31 12882.85 15483.83 25364.12 19487.14 14790.07 13973.13 12778.27 12486.38 21562.72 12293.75 12575.41 10676.82 24890.68 138
V4279.38 15378.24 15582.83 15781.10 30265.50 15285.55 20689.82 14771.57 16078.21 12886.12 22060.66 16193.18 15375.64 10375.46 26689.81 186
V977.52 19476.11 19981.73 18684.19 23464.89 16987.26 14488.94 18372.87 13668.65 27981.96 28862.65 12691.72 20372.27 13966.24 32588.60 228
SD-MVS88.06 988.50 986.71 4492.60 5372.71 2791.81 2693.19 2377.87 3290.32 794.00 2874.83 1193.78 12187.63 894.27 4493.65 49
GA-MVS76.87 20875.17 22181.97 17982.75 27862.58 22781.44 27586.35 22672.16 15374.74 20482.89 27146.20 29292.02 19068.85 16881.09 19191.30 121
MSLP-MVS++85.43 4985.76 4384.45 8791.93 6070.24 6390.71 4092.86 3777.46 4184.22 4992.81 5467.16 7492.94 16580.36 6094.35 4290.16 162
APDe-MVS89.15 389.63 387.73 2394.49 1171.69 4693.83 293.96 575.70 7491.06 696.03 176.84 497.03 789.09 295.65 1594.47 13
APD-MVS_3200maxsize85.97 4185.88 3986.22 5392.69 4969.53 7991.93 2492.99 3273.54 11885.94 2194.51 1365.80 8595.61 4383.04 4192.51 5793.53 55
ADS-MVSNet266.20 30863.33 30874.82 29779.92 31358.75 25667.55 34575.19 33053.37 33665.25 30875.86 32942.32 31380.53 32041.57 33768.91 30985.18 297
EI-MVSNet80.52 12179.98 10882.12 17484.28 22763.19 21986.41 17688.95 18074.18 10078.69 10987.54 17066.62 7692.43 17872.57 13580.57 19990.74 136
Regformer0.00 3520.00 3530.00 3600.00 3750.00 3750.00 3670.00 3770.00 3700.00 3720.00 3720.00 3770.00 3720.00 3690.00 3700.00 370
CVMVSNet72.99 26572.58 24574.25 30284.28 22750.85 33386.41 17683.45 25744.56 34973.23 21487.54 17049.38 27385.70 29865.90 19178.44 22486.19 283
pmmvs474.03 24571.91 25780.39 21281.96 28968.32 10681.45 27482.14 27559.32 30369.87 26585.13 24652.40 22188.13 28260.21 23574.74 27584.73 304
EU-MVSNet68.53 29567.61 29571.31 31678.51 32647.01 34384.47 23084.27 24442.27 35066.44 30184.79 25440.44 32383.76 30758.76 24968.54 31383.17 316
VNet82.21 8382.41 7481.62 19290.82 7460.93 23984.47 23089.78 14876.36 6584.07 5191.88 6364.71 9390.26 24070.68 15088.89 8993.66 44
test-LLR72.94 26672.43 24774.48 29981.35 29858.04 26478.38 29977.46 32066.66 23369.95 26379.00 31448.06 28179.24 32466.13 18784.83 14186.15 284
TESTMET0.1,169.89 28869.00 27872.55 30879.27 32456.85 28378.38 29974.71 33657.64 31668.09 28577.19 32537.75 33276.70 33563.92 20584.09 14984.10 310
test-mter71.41 27470.39 27274.48 29981.35 29858.04 26478.38 29977.46 32060.32 29469.95 26379.00 31436.08 33879.24 32466.13 18784.83 14186.15 284
VPA-MVSNet80.60 11880.55 9980.76 20988.07 15660.80 24286.86 16191.58 8875.67 7580.24 9689.45 12263.34 10290.25 24170.51 15279.22 22091.23 122
ACMMPR87.44 1787.23 2088.08 894.64 673.59 993.04 593.20 2276.78 5384.66 4194.52 1068.81 6196.65 1784.53 2594.90 2894.00 30
testgi66.67 30466.53 30067.08 32975.62 33741.69 35275.93 31276.50 32566.11 24165.20 31086.59 20435.72 33974.71 34343.71 33273.38 28784.84 302
test20.0367.45 29966.95 29868.94 32375.48 33944.84 34577.50 30677.67 31966.66 23363.01 31983.80 26347.02 28678.40 32842.53 33668.86 31183.58 313
thres600view776.50 21475.44 21079.68 22789.40 10757.16 27785.53 20883.23 26073.79 11376.26 16987.09 18551.89 23391.89 19548.05 30583.72 15890.00 173
111157.11 32456.82 32557.97 34169.10 35228.28 36368.90 34174.54 33954.01 33253.71 34574.51 33323.09 35267.90 35832.28 34961.26 33877.73 338
.test124545.55 33450.02 33232.14 35369.10 35228.28 36368.90 34174.54 33954.01 33253.71 34574.51 33323.09 35267.90 35832.28 3490.02 3670.25 368
ADS-MVSNet64.36 31262.88 31268.78 32679.92 31347.17 34267.55 34571.18 34653.37 33665.25 30875.86 32942.32 31373.99 34741.57 33768.91 30985.18 297
MP-MVScopyleft87.71 1387.64 1487.93 1694.36 1773.88 492.71 1392.65 4677.57 3583.84 5394.40 1872.24 3496.28 2885.65 1595.30 2393.62 51
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs6.04 3508.02 3510.10 3590.08 3730.03 37469.74 3330.04 3750.05 3680.31 3701.68 3700.02 3760.04 3700.24 3670.02 3670.25 368
thres40076.50 21475.37 21479.86 22389.13 12257.65 27285.17 21383.60 25273.41 12176.45 16186.39 21152.12 22691.95 19148.33 29983.75 15390.00 173
test1236.12 3498.11 3500.14 3580.06 3740.09 37371.05 3290.03 3760.04 3690.25 3711.30 3710.05 3750.03 3710.21 3680.01 3690.29 367
thres20075.55 23274.47 22878.82 24787.78 17457.85 26983.07 25983.51 25572.44 14575.84 17884.42 25752.08 22891.75 20047.41 30883.64 15986.86 269
test0.0.03 168.00 29767.69 29468.90 32477.55 32847.43 34175.70 31672.95 34366.66 23366.56 29882.29 27848.06 28175.87 33944.97 32474.51 27783.41 314
test1235649.28 33348.51 33451.59 34662.06 35819.11 36960.40 35472.45 34447.60 34840.64 35565.68 34813.84 36368.72 35627.29 35646.67 35466.94 352
testus59.00 32057.91 31962.25 33672.25 34739.09 35569.74 33375.02 33153.04 33857.21 33773.72 33618.76 35870.33 35432.86 34768.57 31277.35 340
pmmvs357.79 32254.26 32668.37 32764.02 35756.72 28675.12 32065.17 35940.20 35252.93 34769.86 34520.36 35575.48 34145.45 32255.25 34772.90 348
testmv53.85 32751.03 32962.31 33561.46 35938.88 35670.95 33274.69 33751.11 34441.26 35366.85 34714.28 36272.13 35129.19 35449.51 35275.93 346
EMVS30.81 34329.65 34434.27 35250.96 36625.95 36756.58 36046.80 36824.01 36315.53 36730.68 36412.47 36454.43 36512.81 36517.05 36322.43 364
E-PMN31.77 34230.64 34335.15 35152.87 36527.67 36557.09 35947.86 36724.64 36116.40 36633.05 36311.23 36554.90 36414.46 36418.15 36122.87 363
test235659.50 31858.08 31863.74 33371.23 34941.88 35067.59 34472.42 34553.72 33457.65 33570.74 34226.31 34772.40 35032.03 35171.06 30276.93 343
test123567858.74 32156.89 32464.30 33169.70 35141.87 35171.05 32974.87 33354.06 33150.63 35071.53 34125.30 34974.10 34631.80 35263.10 33376.93 343
PGM-MVS86.68 3086.27 3387.90 1794.22 2173.38 1690.22 5293.04 2675.53 7883.86 5294.42 1767.87 6796.64 1882.70 4494.57 3693.66 44
LCM-MVSNet-Re77.05 20576.94 18077.36 27087.20 19051.60 32880.06 28380.46 29475.20 8667.69 28886.72 19262.48 13288.98 26963.44 20789.25 8791.51 113
LCM-MVSNet54.25 32649.68 33367.97 32853.73 36445.28 34466.85 34880.78 28935.96 35639.45 35662.23 3528.70 36878.06 33148.24 30351.20 35180.57 331
MCST-MVS87.37 2187.25 1987.73 2394.53 1072.46 3689.82 5893.82 773.07 13184.86 3992.89 4976.22 696.33 2684.89 2195.13 2494.40 14
mvs_anonymous79.42 15079.11 13580.34 21484.45 22657.97 26682.59 26187.62 20967.40 23176.17 17488.56 14268.47 6289.59 25070.65 15186.05 13393.47 56
MVS_Test83.15 7183.06 6683.41 12386.86 19463.21 21786.11 18692.00 6974.31 9882.87 6489.44 12370.03 4993.21 14977.39 8488.50 10193.81 40
MDA-MVSNet-bldmvs66.68 30363.66 30775.75 28779.28 32360.56 24573.92 32478.35 31564.43 26050.13 35179.87 30944.02 30483.67 30846.10 31856.86 34383.03 320
CDPH-MVS85.76 4485.29 4987.17 3593.49 3471.08 5088.58 9892.42 5368.32 22084.61 4293.48 3572.32 3396.15 3379.00 6795.43 1794.28 20
test1286.80 4292.63 5070.70 6091.79 8082.71 6971.67 3696.16 3294.50 3793.54 54
casdiffmvs83.96 5983.25 6386.07 5688.48 14469.60 7689.26 7392.40 5468.07 22282.82 6690.03 10469.77 5394.86 7781.79 4986.64 12493.75 42
diffmvs81.48 9881.21 9182.31 17383.28 26462.72 22685.09 21688.63 19374.99 8878.31 12288.81 13465.80 8591.36 21979.03 6686.95 11892.84 78
casdiffmvs184.76 5784.33 5686.04 5889.40 10768.78 9289.67 6592.54 4866.43 23885.41 2690.75 9172.88 2894.76 8181.64 5090.24 7794.57 10
diffmvs182.63 7882.51 7282.96 14983.87 24963.47 20985.19 21289.42 15875.58 7781.38 8389.89 10767.42 7291.69 20781.01 5488.88 9093.71 43
YYNet165.03 30962.91 31171.38 31275.85 33556.60 28969.12 33974.66 33857.28 32054.12 34377.87 32145.85 29474.48 34449.95 29261.52 33783.05 319
PMMVS240.82 33738.86 33946.69 34953.84 36316.45 37048.61 36149.92 36637.49 35531.67 35860.97 3538.14 36956.42 36328.42 35530.72 35667.19 351
MDA-MVSNet_test_wron65.03 30962.92 31071.37 31375.93 33456.73 28569.09 34074.73 33557.28 32054.03 34477.89 32045.88 29374.39 34549.89 29361.55 33682.99 321
tpmvs71.09 27669.29 27676.49 27882.04 28856.04 29778.92 29681.37 28664.05 26467.18 29478.28 31749.74 27189.77 24649.67 29472.37 29283.67 312
PM-MVS66.41 30664.14 30673.20 30673.92 34056.45 29078.97 29564.96 36163.88 26864.72 31180.24 30419.84 35683.44 31066.24 18664.52 33179.71 334
HQP_MVS83.64 6483.14 6485.14 7090.08 8768.71 9891.25 3292.44 5079.12 2378.92 10791.00 8760.42 16595.38 5478.71 7086.32 12991.33 119
plane_prior790.08 8768.51 104
plane_prior689.84 9268.70 10060.42 165
plane_prior592.44 5095.38 5478.71 7086.32 12991.33 119
plane_prior491.00 87
plane_prior368.60 10278.44 3078.92 107
plane_prior291.25 3279.12 23
plane_prior189.90 91
plane_prior68.71 9890.38 4877.62 3486.16 132
PS-CasMVS78.01 18078.09 15677.77 26387.71 17654.39 31188.02 11691.22 9977.50 4073.26 21388.64 13860.73 15888.41 27961.88 22173.88 28390.53 151
UniMVSNet_NR-MVSNet81.88 8881.54 8682.92 15088.46 14663.46 21087.13 15092.37 5580.19 1578.38 11989.14 12671.66 3793.05 16070.05 15676.46 25392.25 95
PEN-MVS77.73 18777.69 16877.84 26187.07 19253.91 31387.91 12291.18 10177.56 3773.14 21588.82 13361.23 15189.17 26459.95 23672.37 29290.43 155
TransMVSNet (Re)75.39 23674.56 22677.86 26085.50 21157.10 27986.78 16586.09 23072.17 15271.53 24387.34 17363.01 11289.31 25656.84 26561.83 33587.17 262
DTE-MVSNet76.99 20676.80 18277.54 26786.24 20153.06 32487.52 13390.66 11377.08 4672.50 22188.67 13760.48 16489.52 25157.33 26270.74 30390.05 172
DU-MVS81.12 10380.52 10082.90 15187.80 17163.46 21087.02 15691.87 7779.01 2678.38 11989.07 12865.02 9193.05 16070.05 15676.46 25392.20 97
UniMVSNet (Re)81.60 9481.11 9283.09 13788.38 14964.41 18887.60 12693.02 2978.42 3178.56 11288.16 15269.78 5293.26 14869.58 16276.49 25291.60 110
CP-MVSNet78.22 17278.34 15277.84 26187.83 16954.54 30987.94 12091.17 10277.65 3373.48 21188.49 14362.24 13788.43 27862.19 21774.07 27990.55 150
WR-MVS_H78.51 16778.49 14678.56 25188.02 15856.38 29388.43 10092.67 4477.14 4373.89 20987.55 16966.25 7989.24 25758.92 24673.55 28690.06 171
WR-MVS79.49 14779.22 13480.27 21788.79 13558.35 25985.06 21788.61 19478.56 2977.65 13988.34 14763.81 10090.66 23764.98 20077.22 23691.80 109
NR-MVSNet80.23 13079.38 12582.78 16387.80 17163.34 21386.31 17991.09 10479.01 2672.17 23389.07 12867.20 7392.81 17166.08 19075.65 26292.20 97
Baseline_NR-MVSNet78.15 17678.33 15377.61 26585.79 20556.21 29686.78 16585.76 23273.60 11677.93 13587.57 16865.02 9188.99 26867.14 18275.33 26887.63 250
TranMVSNet+NR-MVSNet80.84 10780.31 10482.42 17087.85 16262.33 22987.74 12491.33 9780.55 1277.99 13489.86 10865.23 8992.62 17367.05 18375.24 27192.30 93
TSAR-MVS + GP.85.71 4585.33 4686.84 4091.34 6572.50 3489.07 8187.28 21576.41 6085.80 2490.22 10074.15 2195.37 5681.82 4891.88 5992.65 82
abl_685.23 5284.95 5286.07 5692.23 5670.48 6290.80 3992.08 6473.51 11985.26 2994.16 2362.75 12095.92 4082.46 4791.30 6691.81 108
n20.00 377
nn0.00 377
mPP-MVS86.67 3186.32 3287.72 2594.41 1573.55 1092.74 1192.22 5976.87 5182.81 6894.25 2066.44 7896.24 2982.88 4394.28 4393.38 57
door-mid69.98 349
DI_MVS_plusplus_test79.89 14078.58 14483.85 11382.89 27665.32 15786.12 18589.55 15369.64 19170.55 25085.82 23257.24 18793.81 11976.85 9088.55 9892.41 90
XVG-OURS-SEG-HR80.81 11079.76 11383.96 10985.60 20968.78 9283.54 25090.50 11870.66 17376.71 15791.66 6560.69 16091.26 22276.94 8981.58 18791.83 106
DWT-MVSNet_test73.70 24771.86 25879.21 23882.91 27558.94 25482.34 26282.17 27465.21 25071.05 24878.31 31644.21 30290.17 24363.29 20977.28 23488.53 235
MVSFormer82.85 7682.05 8085.24 6887.35 18470.21 6490.50 4490.38 12168.55 21181.32 8489.47 11861.68 14193.46 14078.98 6890.26 7592.05 102
jason81.39 9980.29 10584.70 8286.63 19869.90 7185.95 18986.77 21963.24 26981.07 9089.47 11861.08 15592.15 18778.33 7590.07 8092.05 102
jason: jason.
lupinMVS81.39 9980.27 10684.76 8187.35 18470.21 6485.55 20686.41 22362.85 27581.32 8488.61 13961.68 14192.24 18678.41 7490.26 7591.83 106
test_djsdf80.30 12879.32 12783.27 12783.98 24765.37 15690.50 4490.38 12168.55 21176.19 17188.70 13556.44 19293.46 14078.98 6880.14 20690.97 129
Test477.83 18675.90 20383.62 11580.24 31065.25 15985.27 21190.67 11169.03 20466.48 30083.75 26443.07 30893.00 16475.93 9888.66 9592.62 83
HPM-MVS_fast85.35 5184.95 5286.57 4893.69 2970.58 6192.15 2291.62 8673.89 10782.67 7094.09 2662.60 12795.54 4680.93 5592.93 5293.57 52
PatchFormer-LS_test74.50 23973.05 24178.86 24682.95 27459.55 25281.65 27182.30 27367.44 23071.62 24278.15 31952.34 22288.92 27365.05 19975.90 25988.12 241
testpf56.51 32557.58 32253.30 34471.99 34841.19 35346.89 36269.32 35358.06 31252.87 34869.45 34627.99 34672.73 34959.59 24062.07 33445.98 359
K. test v371.19 27568.51 28179.21 23883.04 27257.78 27184.35 23776.91 32472.90 13562.99 32082.86 27239.27 32691.09 23061.65 22452.66 34988.75 220
lessismore_v078.97 24481.01 30357.15 27865.99 35861.16 32482.82 27339.12 32791.34 22159.67 23846.92 35388.43 237
SixPastTwentyTwo73.37 25871.26 26579.70 22685.08 21957.89 26885.57 20283.56 25471.03 16765.66 30485.88 22942.10 31592.57 17559.11 24563.34 33288.65 223
OurMVSNet-221017-074.26 24272.42 24879.80 22583.76 25559.59 24985.92 19186.64 22066.39 23966.96 29587.58 16739.46 32591.60 21465.76 19369.27 30788.22 239
HPM-MVScopyleft87.11 2586.98 2487.50 3193.88 2772.16 4192.19 2093.33 1976.07 7083.81 5493.95 3069.77 5396.01 3685.15 1694.66 3394.32 19
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
XVG-OURS80.41 12279.23 13383.97 10885.64 20869.02 8683.03 26090.39 12071.09 16677.63 14091.49 7354.62 20791.35 22075.71 10283.47 16091.54 112
XVG-ACMP-BASELINE76.11 22674.27 23181.62 19283.20 26664.67 17483.60 24989.75 14969.75 18871.85 23987.09 18532.78 34192.11 18869.99 15880.43 20288.09 242
LPG-MVS_test82.08 8481.27 8884.50 8589.23 11868.76 9490.22 5291.94 7375.37 8276.64 15991.51 7154.29 20894.91 7178.44 7283.78 15189.83 184
LGP-MVS_train84.50 8589.23 11868.76 9491.94 7375.37 8276.64 15991.51 7154.29 20894.91 7178.44 7283.78 15189.83 184
test1192.23 58
door69.44 352
EPNet_dtu75.46 23374.86 22277.23 27382.57 28354.60 30886.89 16083.09 26571.64 15666.25 30285.86 23055.99 19488.04 28354.92 27186.55 12689.05 206
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x268877.63 19275.69 20483.44 12089.98 8968.58 10378.70 29887.50 21256.38 32475.80 17986.84 18858.67 17391.40 21861.58 22585.75 13790.34 158
EPNet83.72 6382.92 6986.14 5584.22 23069.48 8091.05 3685.27 23581.30 876.83 15491.65 6666.09 8195.56 4576.00 9793.85 4893.38 57
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS66.98 129
HQP-NCC89.33 11089.17 7576.41 6077.23 149
ACMP_Plane89.33 11089.17 7576.41 6077.23 149
APD-MVScopyleft87.44 1787.52 1587.19 3494.24 2072.39 3791.86 2592.83 3973.01 13288.58 1094.52 1073.36 2396.49 2484.26 2995.01 2592.70 79
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS77.47 82
HQP4-MVS77.24 14895.11 6291.03 126
HQP3-MVS92.19 6185.99 134
HQP2-MVS60.17 168
LP61.36 31757.78 32072.09 30975.54 33858.53 25867.16 34775.22 32951.90 34254.13 34269.97 34437.73 33380.45 32132.74 34855.63 34577.29 341
CNVR-MVS88.93 689.13 688.33 494.77 573.82 690.51 4393.00 3080.90 1088.06 1394.06 2776.43 596.84 988.48 595.99 694.34 17
NCCC88.06 988.01 1288.24 694.41 1573.62 891.22 3492.83 3981.50 785.79 2593.47 3773.02 2797.00 884.90 1994.94 2794.10 23
114514_t80.68 11679.51 12184.20 9694.09 2667.27 12589.64 6791.11 10358.75 30974.08 20890.72 9258.10 17795.04 6769.70 16089.42 8690.30 159
CP-MVS87.11 2586.92 2587.68 2894.20 2273.86 593.98 192.82 4176.62 5883.68 5594.46 1467.93 6595.95 3984.20 3194.39 4093.23 62
DSMNet-mixed57.77 32356.90 32360.38 33867.70 35535.61 35869.18 33753.97 36432.30 36057.49 33679.88 30840.39 32468.57 35738.78 34172.37 29276.97 342
tpm273.26 26171.46 26178.63 24983.34 26256.71 28780.65 27980.40 29556.63 32373.55 21082.02 28451.80 24191.24 22356.35 26778.42 22587.95 243
NP-MVS89.62 9868.32 10690.24 98
EG-PatchMatch MVS74.04 24471.82 25980.71 21084.92 22067.42 12185.86 19288.08 20266.04 24364.22 31483.85 26135.10 34092.56 17657.44 26080.83 19482.16 325
tpm cat170.57 28068.31 28377.35 27182.41 28557.95 26778.08 30380.22 29952.04 34068.54 28277.66 32352.00 23087.84 28551.77 28272.07 29686.25 282
SteuartSystems-ACMMP88.72 788.86 788.32 592.14 5772.96 2293.73 393.67 980.19 1588.10 1294.80 773.76 2297.11 587.51 995.82 1094.90 4
Skip Steuart: Steuart Systems R&D Blog.
tpmp4_e2373.45 25271.17 26680.31 21683.55 25859.56 25181.88 26682.33 27257.94 31470.51 25281.62 29251.19 24791.63 21353.96 27577.51 23289.75 192
CostFormer75.24 23773.90 23479.27 23682.65 28258.27 26180.80 27682.73 26961.57 28675.33 19483.13 27055.52 19791.07 23164.98 20078.34 22688.45 236
CR-MVSNet73.37 25871.27 26479.67 22881.32 30065.19 16175.92 31380.30 29659.92 29872.73 21981.19 29452.50 21986.69 29059.84 23777.71 22887.11 265
JIA-IIPM66.32 30762.82 31376.82 27577.09 33261.72 23665.34 34975.38 32858.04 31364.51 31262.32 35142.05 31686.51 29351.45 28569.22 30882.21 324
Patchmtry70.74 27869.16 27775.49 29280.72 30454.07 31274.94 32280.30 29658.34 31070.01 26081.19 29452.50 21986.54 29253.37 27871.09 30185.87 292
PatchT68.46 29667.85 29070.29 31980.70 30543.93 34772.47 32674.88 33260.15 29670.55 25076.57 32749.94 26881.59 31650.58 28774.83 27485.34 295
tpmrst72.39 26872.13 25673.18 30780.54 30749.91 33779.91 28679.08 30663.11 27071.69 24179.95 30755.32 19882.77 31365.66 19473.89 28286.87 268
BH-w/o78.21 17377.33 17480.84 20788.81 13365.13 16384.87 22087.85 20669.75 18874.52 20684.74 25561.34 14893.11 15758.24 25485.84 13684.27 306
tpm72.37 27071.71 26074.35 30182.19 28752.00 32579.22 29277.29 32264.56 25972.95 21783.68 26751.35 24483.26 31258.33 25375.80 26087.81 247
DELS-MVS85.41 5085.30 4885.77 6188.49 14367.93 11485.52 21093.44 1578.70 2883.63 5889.03 13074.57 1295.71 4280.26 6294.04 4793.66 44
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
BH-untuned79.47 14878.60 14382.05 17689.19 12065.91 14486.07 18788.52 19572.18 15175.42 18887.69 16561.15 15393.54 13760.38 23386.83 12186.70 273
RPMNet71.62 27268.94 27979.67 22881.32 30065.19 16175.92 31378.30 31657.60 31772.73 21976.45 32852.30 22386.69 29048.14 30477.71 22887.11 265
no-one51.08 33045.79 33666.95 33057.92 36250.49 33659.63 35676.04 32748.04 34631.85 35756.10 35719.12 35780.08 32336.89 34326.52 35770.29 350
MVSTER79.01 15977.88 16182.38 17183.07 27064.80 17184.08 24388.95 18069.01 20578.69 10987.17 18154.70 20592.43 17874.69 11280.57 19989.89 182
CPTT-MVS83.73 6283.33 62