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 1088.56 1086.73 5292.24 6869.03 9989.57 8193.39 3077.53 4289.79 1394.12 3778.98 896.58 3185.66 2395.72 2494.58 18
DeepC-MVS79.81 287.08 3586.88 3687.69 3291.16 8172.32 4490.31 6293.94 1577.12 5182.82 8194.23 3372.13 4797.09 1084.83 3295.37 3093.65 61
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 3686.62 3987.76 2593.52 4472.37 4191.26 4193.04 3876.62 6684.22 6293.36 5371.44 5296.76 2080.82 7095.33 3394.16 32
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 5484.47 6788.51 491.08 8273.49 1593.18 893.78 1880.79 1076.66 16893.37 5260.40 17496.75 2177.20 10093.73 6195.29 2
3Dnovator76.31 583.38 7982.31 8786.59 5687.94 16972.94 2790.64 5192.14 7877.21 4875.47 19292.83 6558.56 18194.72 9773.24 13692.71 6892.13 113
ACMP74.13 681.51 10780.57 10884.36 10489.42 11568.69 11489.97 7191.50 10774.46 10775.04 21090.41 11053.82 21694.54 9977.56 9682.91 17889.86 190
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PCF-MVS73.52 780.38 13278.84 14385.01 8387.71 17768.99 10283.65 23891.46 10863.00 26677.77 14690.28 11166.10 9895.09 8261.40 23388.22 11790.94 143
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
ACMM73.20 880.78 12479.84 12183.58 12889.31 12468.37 11989.99 7091.60 10170.28 17577.25 15589.66 12453.37 21993.53 14674.24 12482.85 17988.85 221
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TAPA-MVS73.13 979.15 15777.94 16282.79 16589.59 10962.99 22088.16 12991.51 10465.77 23877.14 16091.09 9660.91 16493.21 15550.26 29787.05 13092.17 112
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
OpenMVScopyleft72.83 1079.77 14378.33 15584.09 11485.17 22069.91 8490.57 5390.97 12166.70 22572.17 23891.91 7554.70 20893.96 12061.81 23090.95 8488.41 234
PLCcopyleft70.83 1178.05 18576.37 20183.08 14891.88 7567.80 13088.19 12789.46 16164.33 25669.87 26388.38 16053.66 21793.58 14158.86 25482.73 18187.86 241
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
HY-MVS69.67 1277.95 18877.15 18280.36 21487.57 18460.21 25283.37 24587.78 20966.11 23375.37 19887.06 19663.27 12290.48 23761.38 23482.43 18590.40 163
LTVRE_ROB69.57 1376.25 21774.54 22181.41 19088.60 14964.38 18979.24 28289.12 17570.76 16769.79 26587.86 17249.09 26693.20 15756.21 27580.16 21086.65 269
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 22074.01 22682.03 17888.60 14965.31 17288.86 9887.55 21270.25 17667.75 27787.47 18241.27 30993.19 15858.37 25975.94 25687.60 246
IB-MVS68.01 1575.85 22273.36 23383.31 13684.76 22766.03 15583.38 24485.06 24170.21 17769.40 26781.05 28945.76 28694.66 9865.10 20475.49 26289.25 205
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 22173.93 22781.77 18388.71 14766.61 14888.62 10989.01 17869.81 18266.78 28986.70 20641.95 30891.51 21455.64 27678.14 23087.17 257
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
COLMAP_ROBcopyleft66.92 1773.01 25070.41 25980.81 20787.13 19465.63 16488.30 12284.19 25162.96 26763.80 30987.69 17538.04 32292.56 18046.66 31474.91 27484.24 298
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PVSNet64.34 1872.08 25870.87 25775.69 27786.21 20656.44 29474.37 31480.73 28962.06 27870.17 25682.23 28142.86 30183.31 30354.77 27984.45 15987.32 253
OpenMVS_ROBcopyleft64.09 1970.56 26868.19 27277.65 25980.26 30259.41 25885.01 20782.96 27158.76 30265.43 29882.33 27837.63 32491.23 22145.34 32276.03 25582.32 314
PVSNet_057.27 2061.67 30359.27 30568.85 31379.61 31257.44 28168.01 33073.44 32755.93 31858.54 32470.41 33044.58 29277.55 32447.01 31335.91 33971.55 334
CMPMVSbinary51.72 2170.19 27268.16 27376.28 27373.15 33657.55 27979.47 28083.92 25348.02 33156.48 33084.81 24843.13 29986.42 28662.67 22181.81 19284.89 291
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PMVScopyleft37.38 2244.16 31340.28 31555.82 32340.82 35042.54 33965.12 33563.99 34334.43 34024.48 34357.12 3393.92 35276.17 32917.10 34355.52 33248.75 339
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive26.22 2330.37 31725.89 32043.81 32844.55 34935.46 34428.87 34639.07 34918.20 34518.58 34640.18 3412.68 35347.37 34717.07 34423.78 34248.60 340
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
IU-MVS95.30 271.25 5892.95 4966.81 22292.39 488.94 796.63 294.85 9
OPU-MVS89.06 194.62 1275.42 293.57 594.02 4082.45 296.87 1583.77 4596.48 594.88 7
test_241102_TWO94.06 1177.24 4792.78 395.72 681.26 597.44 289.07 696.58 394.26 30
test_241102_ONE95.30 270.98 6494.06 1177.17 4993.10 195.39 882.99 197.27 6
xxxxxxxxxxxxxcwj88.01 1688.08 1587.77 2393.80 3672.35 4290.47 5791.17 11674.31 10989.16 1495.10 1075.65 1796.19 4087.07 1796.01 1294.79 10
SF-MVS88.46 988.74 987.64 3492.78 5971.95 4992.40 1994.74 275.71 8289.16 1495.10 1075.65 1796.19 4087.07 1796.01 1294.79 10
ETH3D cwj APD-0.1687.31 3087.27 2687.44 3991.60 7772.45 3990.02 6994.37 471.76 14987.28 2894.27 3075.18 2196.08 4485.16 2695.77 2193.80 54
cl-mvsnet278.07 18477.01 18481.23 19782.37 27761.83 23383.55 24287.98 20368.96 20475.06 20983.87 25861.40 15491.88 20473.53 12976.39 25089.98 185
miper_ehance_all_eth78.59 17177.76 17081.08 20282.66 27061.56 23683.65 23889.15 17268.87 20675.55 19183.79 26266.49 9492.03 19773.25 13576.39 25089.64 197
miper_enhance_ethall77.87 19176.86 18880.92 20581.65 28461.38 23882.68 25188.98 17965.52 24275.47 19282.30 27965.76 10592.00 19972.95 13876.39 25089.39 202
ZNCC-MVS87.94 1787.85 1888.20 994.39 2373.33 1893.03 1193.81 1776.81 5985.24 4294.32 2971.76 4996.93 1485.53 2595.79 2094.32 27
ETH3 D test640087.50 2387.44 2487.70 3193.71 3871.75 5390.62 5294.05 1370.80 16487.59 2793.51 4877.57 1096.63 2683.31 4795.77 2194.72 14
cl-mvsnet_77.72 19376.76 19280.58 21082.49 27460.48 24883.09 24787.87 20669.22 19574.38 21885.22 24262.10 14491.53 21271.09 15075.41 26589.73 196
cl-mvsnet177.72 19376.76 19280.58 21082.48 27560.48 24883.09 24787.86 20769.22 19574.38 21885.24 24162.10 14491.53 21271.09 15075.40 26689.74 195
eth_miper_zixun_eth77.92 18976.69 19581.61 18783.00 26161.98 23083.15 24689.20 17169.52 18974.86 21384.35 25361.76 14792.56 18071.50 14872.89 29090.28 167
9.1488.26 1392.84 5891.52 3894.75 173.93 11988.57 1994.67 1675.57 1995.79 5486.77 1995.76 23
testtj87.78 1887.78 1987.77 2394.55 1572.47 3792.23 2793.49 2574.75 10188.33 2094.43 2673.27 3797.02 1284.18 4294.84 4393.82 51
uanet_test0.00 3250.00 3270.00 3360.00 3550.00 3560.00 3470.00 3570.00 3510.00 3520.00 3520.00 3570.00 3530.00 3500.00 3500.00 349
ETH3D-3000-0.188.09 1188.29 1287.50 3792.76 6071.89 5291.43 3994.70 374.47 10688.86 1794.61 1875.23 2095.84 5286.62 2295.92 1694.78 12
save fliter93.80 3672.35 4290.47 5791.17 11674.31 109
ET-MVSNet_ETH3D78.63 16976.63 19784.64 9586.73 20169.47 9485.01 20784.61 24569.54 18866.51 29286.59 21050.16 25391.75 20676.26 10984.24 16192.69 96
UniMVSNet_ETH3D79.10 15978.24 15781.70 18486.85 19760.24 25187.28 15088.79 18574.25 11276.84 16290.53 10949.48 26191.56 21167.98 17782.15 18793.29 75
EIA-MVS83.31 8082.80 8184.82 9089.59 10965.59 16588.21 12692.68 5874.66 10378.96 12086.42 21769.06 7595.26 7375.54 11790.09 9593.62 63
miper_lstm_enhance74.11 23873.11 23777.13 26880.11 30459.62 25572.23 31886.92 22266.76 22470.40 25282.92 27056.93 19682.92 30569.06 17172.63 29188.87 220
ETV-MVS84.90 6684.67 6585.59 7089.39 11768.66 11588.74 10592.64 6279.97 1784.10 6485.71 23069.32 7295.38 6880.82 7091.37 7992.72 93
CS-MVS84.76 6784.61 6685.22 7889.66 10766.43 15090.23 6493.56 2276.52 6882.59 8585.93 22570.41 6095.80 5379.93 7992.68 6993.42 70
D2MVS74.82 23273.21 23579.64 23079.81 30862.56 22380.34 27287.35 21764.37 25568.86 27082.66 27546.37 27990.10 24267.91 17881.24 19686.25 273
MSP-MVS89.60 190.35 187.33 4195.27 471.25 5893.49 692.73 5777.33 4592.12 795.78 480.98 697.40 389.08 496.41 793.33 74
test_0728_THIRD78.38 3292.12 795.78 481.46 497.40 389.42 296.57 494.67 15
test_0728_SECOND87.71 3095.34 171.43 5793.49 694.23 597.49 189.08 496.41 794.21 31
test072695.27 471.25 5893.60 494.11 677.33 4592.81 295.79 380.98 6
SR-MVS86.73 3786.67 3886.91 4894.11 3372.11 4792.37 2392.56 6474.50 10586.84 3194.65 1767.31 8895.77 5584.80 3392.85 6692.84 92
DPM-MVS84.93 6484.29 6886.84 4990.20 9773.04 2287.12 15393.04 3869.80 18382.85 8091.22 9273.06 3996.02 4676.72 10794.63 4791.46 130
GST-MVS87.42 2687.26 2787.89 2294.12 3272.97 2392.39 2193.43 2876.89 5784.68 5393.99 4270.67 5996.82 1784.18 4295.01 3793.90 46
test_yl81.17 11080.47 11183.24 14089.13 13163.62 20086.21 18189.95 14972.43 14181.78 9489.61 12657.50 18993.58 14170.75 15286.90 13292.52 99
thisisatest053079.40 15277.76 17084.31 10787.69 17965.10 17787.36 14784.26 25070.04 17877.42 15188.26 16549.94 25694.79 9570.20 15884.70 15693.03 86
Anonymous2024052980.19 13778.89 14284.10 11390.60 9064.75 18188.95 9590.90 12365.97 23780.59 10891.17 9449.97 25593.73 13869.16 17082.70 18393.81 52
Anonymous20240521178.25 17777.01 18481.99 17991.03 8360.67 24584.77 21283.90 25470.65 17080.00 11191.20 9341.08 31191.43 21565.21 20285.26 15093.85 48
DCV-MVSNet81.17 11080.47 11183.24 14089.13 13163.62 20086.21 18189.95 14972.43 14181.78 9489.61 12657.50 18993.58 14170.75 15286.90 13292.52 99
tttt051779.40 15277.91 16383.90 12588.10 16463.84 19788.37 12084.05 25271.45 15776.78 16589.12 14149.93 25894.89 9070.18 15983.18 17592.96 90
our_test_369.14 27867.00 28575.57 27979.80 30958.80 26177.96 29577.81 31059.55 29562.90 31378.25 31147.43 27283.97 29851.71 28967.58 31383.93 302
thisisatest051577.33 20175.38 21183.18 14385.27 21963.80 19882.11 25783.27 26565.06 24675.91 18483.84 26049.54 26094.27 10767.24 18686.19 14391.48 129
ppachtmachnet_test70.04 27367.34 28478.14 25179.80 30961.13 23979.19 28480.59 29159.16 29965.27 29979.29 30446.75 27887.29 27949.33 30166.72 31486.00 282
SMA-MVS89.08 589.23 588.61 394.25 2673.73 892.40 1993.63 2074.77 10092.29 595.97 274.28 3097.24 788.58 996.91 194.87 8
GSMVS88.96 217
DPE-MVS89.48 389.98 288.01 1294.80 872.69 3091.59 3594.10 875.90 8092.29 595.66 781.67 397.38 587.44 1696.34 1093.95 43
test_part295.06 672.65 3191.80 9
test_part10.00 3360.00 3560.00 34794.09 90.00 3570.00 3530.00 3500.00 3500.00 349
thres100view90076.50 21175.55 20779.33 23489.52 11256.99 28585.83 19183.23 26673.94 11876.32 17687.12 19351.89 23591.95 20048.33 30583.75 16689.07 206
tfpnnormal74.39 23473.16 23678.08 25286.10 20758.05 26884.65 21787.53 21370.32 17471.22 24785.63 23354.97 20389.86 24443.03 32675.02 27386.32 272
tfpn200view976.42 21475.37 21279.55 23389.13 13157.65 27785.17 20283.60 25773.41 12976.45 17186.39 21852.12 22891.95 20048.33 30583.75 16689.07 206
cl_fuxian78.75 16677.91 16381.26 19682.89 26561.56 23684.09 23389.13 17469.97 18075.56 19084.29 25466.36 9692.09 19673.47 13275.48 26390.12 173
CHOSEN 280x42066.51 29264.71 29271.90 29881.45 28863.52 20557.98 33968.95 33753.57 32362.59 31476.70 31846.22 28175.29 33355.25 27779.68 21376.88 331
CANet86.45 4286.10 4787.51 3690.09 9970.94 6789.70 7992.59 6381.78 481.32 9891.43 8970.34 6197.23 884.26 3993.36 6294.37 24
Fast-Effi-MVS+-dtu78.02 18676.49 19882.62 17083.16 25766.96 14586.94 15887.45 21672.45 13871.49 24584.17 25554.79 20791.58 21067.61 18080.31 20989.30 204
Effi-MVS+-dtu80.03 13978.57 14784.42 10185.13 22368.74 10988.77 10288.10 19974.99 9674.97 21183.49 26657.27 19293.36 15173.53 12980.88 19991.18 136
CANet_DTU80.61 12679.87 12082.83 16085.60 21463.17 21687.36 14788.65 19176.37 7375.88 18688.44 15953.51 21893.07 16573.30 13489.74 10092.25 108
MVS_030472.48 25470.89 25677.24 26682.20 27859.68 25484.11 23183.49 26167.10 22166.87 28780.59 29435.00 33187.40 27859.07 25279.58 21484.63 295
MP-MVS-pluss87.67 2087.72 2087.54 3593.64 4272.04 4889.80 7593.50 2475.17 9586.34 3395.29 970.86 5596.00 4888.78 896.04 1194.58 18
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DVP-MVS89.51 289.91 388.30 794.28 2573.46 1692.90 1394.11 680.27 1291.35 1094.16 3578.35 996.77 1989.59 194.22 5894.67 15
sam_mvs151.32 24188.96 217
sam_mvs50.01 254
IterMVS-SCA-FT75.43 22873.87 22980.11 21982.69 26964.85 17981.57 26383.47 26269.16 19870.49 25184.15 25651.95 23388.15 27169.23 16872.14 29587.34 252
TSAR-MVS + MP.88.02 1588.11 1487.72 2893.68 4172.13 4691.41 4092.35 7174.62 10488.90 1693.85 4475.75 1696.00 4887.80 1194.63 4795.04 3
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
xiu_mvs_v1_base_debu80.80 12179.72 12484.03 11887.35 18570.19 8085.56 19488.77 18669.06 20081.83 9088.16 16650.91 24492.85 17278.29 9187.56 12289.06 208
OPM-MVS83.50 7582.95 7885.14 7988.79 14470.95 6689.13 9291.52 10377.55 4180.96 10591.75 7860.71 16694.50 10279.67 8086.51 13989.97 186
ACMMP_NAP88.05 1488.08 1587.94 1593.70 3973.05 2190.86 4793.59 2176.27 7688.14 2195.09 1271.06 5496.67 2387.67 1296.37 994.09 35
ambc75.24 28373.16 33550.51 32763.05 33887.47 21564.28 30577.81 31417.80 34389.73 24757.88 26460.64 32685.49 284
zzz-MVS87.53 2287.41 2587.90 1994.18 3074.25 390.23 6492.02 8179.45 1985.88 3594.80 1368.07 7996.21 3886.69 2095.34 3193.23 77
MTGPAbinary92.02 81
mvs-test180.88 11479.40 13185.29 7485.13 22369.75 8889.28 8488.10 19974.99 9676.44 17486.72 20157.27 19294.26 11173.53 12983.18 17591.87 118
Effi-MVS+83.62 7483.08 7585.24 7688.38 15767.45 13488.89 9789.15 17275.50 8782.27 8688.28 16369.61 6994.45 10377.81 9487.84 11893.84 50
xiu_mvs_v2_base81.69 10181.05 10383.60 12789.15 13068.03 12784.46 22290.02 14770.67 16881.30 10186.53 21563.17 12594.19 11375.60 11688.54 11288.57 230
xiu_mvs_v1_base80.80 12179.72 12484.03 11887.35 18570.19 8085.56 19488.77 18669.06 20081.83 9088.16 16650.91 24492.85 17278.29 9187.56 12289.06 208
new-patchmatchnet61.73 30261.73 30361.70 32072.74 33724.50 35069.16 32778.03 30961.40 28156.72 32975.53 32338.42 32076.48 32845.95 31957.67 32984.13 300
pmmvs674.69 23373.39 23278.61 24481.38 29057.48 28086.64 16987.95 20464.99 24970.18 25586.61 20950.43 25189.52 25062.12 22670.18 30588.83 222
pmmvs571.55 26070.20 26175.61 27877.83 31956.39 29581.74 26080.89 28657.76 30767.46 28084.49 25149.26 26585.32 29457.08 27175.29 27085.11 290
test_post178.90 2885.43 34848.81 26985.44 29359.25 249
test_post5.46 34750.36 25284.24 297
Fast-Effi-MVS+80.81 11979.92 11983.47 13088.85 13864.51 18485.53 19989.39 16270.79 16578.49 13085.06 24667.54 8593.58 14167.03 19086.58 13792.32 105
patchmatchnet-post74.00 32551.12 24388.60 266
Anonymous2023121178.97 16377.69 17382.81 16290.54 9164.29 19090.11 6891.51 10465.01 24876.16 18388.13 17050.56 24993.03 16969.68 16577.56 23491.11 138
pmmvs-eth3d70.50 26967.83 27978.52 24777.37 32266.18 15481.82 25881.51 28358.90 30163.90 30880.42 29642.69 30286.28 28758.56 25765.30 31983.11 309
GG-mvs-BLEND75.38 28281.59 28655.80 30279.32 28169.63 33367.19 28373.67 32643.24 29888.90 26450.41 29484.50 15781.45 319
xiu_mvs_v1_base_debi80.80 12179.72 12484.03 11887.35 18570.19 8085.56 19488.77 18669.06 20081.83 9088.16 16650.91 24492.85 17278.29 9187.56 12289.06 208
Anonymous2023120668.60 28067.80 28071.02 30580.23 30350.75 32678.30 29380.47 29356.79 31466.11 29582.63 27646.35 28078.95 31743.62 32575.70 25883.36 306
MTAPA87.23 3187.00 3287.90 1994.18 3074.25 386.58 17192.02 8179.45 1985.88 3594.80 1368.07 7996.21 3886.69 2095.34 3193.23 77
MTMP92.18 2932.83 350
gm-plane-assit81.40 28953.83 31362.72 27280.94 29292.39 18563.40 214
test9_res84.90 2995.70 2692.87 91
MVP-Stereo76.12 21874.46 22381.13 20185.37 21869.79 8684.42 22587.95 20465.03 24767.46 28085.33 23953.28 22091.73 20858.01 26383.27 17381.85 317
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST993.26 4872.96 2488.75 10391.89 9068.44 21385.00 4593.10 5774.36 2995.41 66
train_agg86.43 4386.20 4487.13 4593.26 4872.96 2488.75 10391.89 9068.69 20985.00 4593.10 5774.43 2695.41 6684.97 2895.71 2593.02 87
gg-mvs-nofinetune69.95 27467.96 27675.94 27583.07 25854.51 30977.23 29970.29 33163.11 26470.32 25362.33 33343.62 29788.69 26553.88 28287.76 11984.62 296
SCA74.22 23772.33 24379.91 22284.05 23962.17 22879.96 27679.29 30466.30 23272.38 23680.13 29851.95 23388.60 26659.25 24977.67 23388.96 217
Patchmatch-test64.82 29863.24 29769.57 30979.42 31449.82 32963.49 33769.05 33651.98 32859.95 32180.13 29850.91 24470.98 33940.66 33173.57 28687.90 240
test_893.13 5072.57 3488.68 10891.84 9368.69 20984.87 5193.10 5774.43 2695.16 76
MS-PatchMatch73.83 24172.67 23977.30 26583.87 24266.02 15681.82 25884.66 24461.37 28368.61 27382.82 27347.29 27388.21 27059.27 24884.32 16077.68 329
Patchmatch-RL test70.24 27167.78 28177.61 26077.43 32159.57 25771.16 32070.33 33062.94 26868.65 27272.77 32750.62 24885.49 29269.58 16666.58 31687.77 243
cdsmvs_eth3d_5k19.96 31826.61 3190.00 3360.00 3550.00 3560.00 34789.26 1680.00 3510.00 35288.61 15361.62 1500.00 3530.00 3500.00 3500.00 349
pcd_1.5k_mvsjas5.26 3247.02 3260.00 3360.00 3550.00 3560.00 3470.00 3570.00 3510.00 3520.00 35263.15 1260.00 3530.00 3500.00 3500.00 349
agg_prior186.22 4786.09 4886.62 5592.85 5671.94 5088.59 11091.78 9668.96 20484.41 5893.18 5674.94 2294.93 8584.75 3495.33 3393.01 88
agg_prior282.91 5595.45 2892.70 94
agg_prior92.85 5671.94 5091.78 9684.41 5894.93 85
tmp_tt18.61 31921.40 32110.23 3334.82 35210.11 35234.70 34430.74 3511.48 34823.91 34526.07 34528.42 33613.41 35027.12 33915.35 3467.17 345
canonicalmvs85.91 4985.87 5086.04 6689.84 10569.44 9790.45 6093.00 4276.70 6588.01 2491.23 9173.28 3693.91 12781.50 6488.80 10894.77 13
anonymousdsp78.60 17077.15 18282.98 15480.51 30167.08 14187.24 15189.53 15965.66 24075.16 20587.19 19152.52 22192.25 19077.17 10179.34 22089.61 198
alignmvs85.48 5485.32 5585.96 6789.51 11369.47 9489.74 7792.47 6576.17 7787.73 2691.46 8870.32 6293.78 13281.51 6388.95 10594.63 17
nrg03083.88 6983.53 7084.96 8586.77 20069.28 9890.46 5992.67 5974.79 9982.95 7791.33 9072.70 4193.09 16480.79 7279.28 22292.50 101
v14419279.47 14978.37 15382.78 16683.35 24963.96 19586.96 15790.36 13869.99 17977.50 14985.67 23260.66 16893.77 13474.27 12376.58 24690.62 152
FIs82.07 9582.42 8381.04 20388.80 14358.34 26588.26 12593.49 2576.93 5678.47 13191.04 9869.92 6692.34 18869.87 16384.97 15292.44 103
v192192079.22 15678.03 16082.80 16383.30 25163.94 19686.80 16390.33 13969.91 18177.48 15085.53 23558.44 18293.75 13673.60 12876.85 24390.71 150
UA-Net85.08 6384.96 6185.45 7192.07 7168.07 12689.78 7690.86 12582.48 284.60 5693.20 5569.35 7195.22 7471.39 14990.88 8593.07 84
v119279.59 14678.43 15183.07 14983.55 24764.52 18386.93 15990.58 12970.83 16377.78 14585.90 22659.15 17893.94 12373.96 12677.19 23890.76 147
FC-MVSNet-test81.52 10582.02 9180.03 22088.42 15655.97 30187.95 13393.42 2977.10 5277.38 15290.98 10369.96 6591.79 20568.46 17584.50 15792.33 104
v114480.03 13979.03 13983.01 15283.78 24364.51 18487.11 15490.57 13071.96 14878.08 14186.20 22261.41 15393.94 12374.93 11977.23 23690.60 154
sosnet-low-res0.00 3250.00 3270.00 3360.00 3550.00 3560.00 3470.00 3570.00 3510.00 3520.00 3520.00 3570.00 3530.00 3500.00 3500.00 349
HFP-MVS87.58 2187.47 2387.94 1594.58 1373.54 1393.04 993.24 3276.78 6184.91 4794.44 2470.78 5696.61 2784.53 3594.89 4193.66 56
v14878.72 16777.80 16781.47 18982.73 26861.96 23186.30 17988.08 20173.26 13176.18 18085.47 23762.46 13792.36 18771.92 14573.82 28590.09 176
sosnet0.00 3250.00 3270.00 3360.00 3550.00 3560.00 3470.00 3570.00 3510.00 3520.00 3520.00 3570.00 3530.00 3500.00 3500.00 349
uncertanet0.00 3250.00 3270.00 3360.00 3550.00 3560.00 3470.00 3570.00 3510.00 3520.00 3520.00 3570.00 3530.00 3500.00 3500.00 349
AllTest70.96 26468.09 27579.58 23185.15 22163.62 20084.58 21979.83 30062.31 27560.32 31986.73 19932.02 33388.96 26250.28 29571.57 29986.15 276
TestCases79.58 23185.15 22163.62 20079.83 30062.31 27560.32 31986.73 19932.02 33388.96 26250.28 29571.57 29986.15 276
v7n78.97 16377.58 17583.14 14583.45 24865.51 16688.32 12191.21 11473.69 12372.41 23586.32 22057.93 18493.81 13169.18 16975.65 25990.11 174
region2R87.42 2687.20 3088.09 1094.63 1173.55 1193.03 1193.12 3776.73 6484.45 5794.52 1969.09 7496.70 2284.37 3894.83 4494.03 38
testing_275.73 22373.34 23482.89 15977.37 32265.22 17384.10 23290.54 13169.09 19960.46 31881.15 28840.48 31392.84 17576.36 10880.54 20790.60 154
RRT_MVS79.88 14278.38 15284.38 10285.42 21770.60 7488.71 10788.75 19072.30 14378.83 12489.14 13944.44 29392.18 19378.50 8679.33 22190.35 164
PS-MVSNAJss82.07 9581.31 9884.34 10686.51 20367.27 13989.27 8591.51 10471.75 15079.37 11690.22 11463.15 12694.27 10777.69 9582.36 18691.49 128
PS-MVSNAJ81.69 10181.02 10483.70 12689.51 11368.21 12484.28 22890.09 14670.79 16581.26 10285.62 23463.15 12694.29 10575.62 11588.87 10788.59 229
jajsoiax79.29 15577.96 16183.27 13884.68 22966.57 14989.25 8690.16 14469.20 19775.46 19489.49 13045.75 28793.13 16276.84 10580.80 20190.11 174
mvs_tets79.13 15877.77 16983.22 14284.70 22866.37 15289.17 8790.19 14369.38 19175.40 19789.46 13344.17 29593.15 16076.78 10680.70 20390.14 171
#test#87.33 2987.13 3187.94 1594.58 1373.54 1392.34 2493.24 3275.23 9284.91 4794.44 2470.78 5696.61 2783.75 4694.89 4193.66 56
EI-MVSNet-UG-set83.81 7083.38 7285.09 8187.87 17067.53 13387.44 14689.66 15779.74 1882.23 8789.41 13770.24 6394.74 9679.95 7783.92 16392.99 89
EI-MVSNet-Vis-set84.19 6883.81 6985.31 7388.18 16167.85 12987.66 14089.73 15680.05 1682.95 7789.59 12870.74 5894.82 9380.66 7384.72 15593.28 76
Regformer-385.23 5985.07 5985.70 6988.95 13669.01 10188.29 12389.91 15180.95 885.01 4490.01 11872.45 4394.19 11382.50 5987.57 12093.90 46
Regformer-485.68 5385.45 5286.35 5888.95 13669.67 8988.29 12391.29 11181.73 585.36 4090.01 11872.62 4295.35 7283.28 5087.57 12094.03 38
Regformer-186.41 4586.33 4186.64 5489.33 11970.93 6888.43 11391.39 10982.14 386.65 3290.09 11674.39 2895.01 8483.97 4490.63 8793.97 42
Regformer-286.63 4186.53 4086.95 4789.33 11971.24 6188.43 11392.05 8082.50 186.88 3090.09 11674.45 2595.61 5884.38 3790.63 8794.01 40
HPM-MVS++copyleft89.02 689.15 688.63 295.01 776.03 192.38 2292.85 5280.26 1387.78 2594.27 3075.89 1596.81 1887.45 1596.44 693.05 85
test_prior472.60 3389.01 94
XVS87.18 3286.91 3588.00 1394.42 1973.33 1892.78 1492.99 4479.14 2183.67 7194.17 3467.45 8696.60 2983.06 5294.50 5094.07 36
v124078.99 16277.78 16882.64 16983.21 25363.54 20486.62 17090.30 14169.74 18777.33 15385.68 23157.04 19593.76 13573.13 13776.92 24090.62 152
test_prior386.73 3786.86 3786.33 5992.61 6469.59 9088.85 9992.97 4775.41 8884.91 4793.54 4674.28 3095.48 6283.31 4795.86 1793.91 44
pm-mvs177.25 20276.68 19678.93 24084.22 23558.62 26386.41 17588.36 19671.37 15873.31 22488.01 17161.22 15989.15 25764.24 20973.01 28989.03 212
test_prior288.85 9975.41 8884.91 4793.54 4674.28 3083.31 4795.86 17
X-MVStestdata80.37 13377.83 16688.00 1394.42 1973.33 1892.78 1492.99 4479.14 2183.67 7112.47 34667.45 8696.60 2983.06 5294.50 5094.07 36
test_prior86.33 5992.61 6469.59 9092.97 4795.48 6293.91 44
旧先验286.56 17258.10 30587.04 2988.98 26074.07 125
新几何286.29 180
新几何183.42 13293.13 5070.71 7285.48 23757.43 31081.80 9391.98 7463.28 12192.27 18964.60 20892.99 6387.27 254
旧先验191.96 7265.79 16286.37 22993.08 6169.31 7392.74 6788.74 226
无先验87.48 14488.98 17960.00 29194.12 11667.28 18488.97 216
原ACMM286.86 161
原ACMM184.35 10593.01 5468.79 10592.44 6663.96 26181.09 10391.57 8466.06 10095.45 6467.19 18794.82 4588.81 223
test22291.50 7868.26 12284.16 22983.20 26854.63 32279.74 11291.63 8258.97 17991.42 7886.77 266
testdata291.01 22962.37 223
segment_acmp73.08 38
testdata79.97 22190.90 8664.21 19184.71 24359.27 29885.40 3992.91 6262.02 14689.08 25868.95 17291.37 7986.63 270
testdata184.14 23075.71 82
v879.97 14179.02 14082.80 16384.09 23764.50 18687.96 13290.29 14274.13 11675.24 20486.81 19862.88 13193.89 12974.39 12275.40 26690.00 182
131476.53 21075.30 21480.21 21883.93 24162.32 22684.66 21488.81 18460.23 28970.16 25784.07 25755.30 20290.73 23467.37 18383.21 17487.59 247
112180.84 11679.77 12284.05 11693.11 5270.78 7184.66 21485.42 23857.37 31181.76 9692.02 7363.41 11994.12 11667.28 18492.93 6487.26 255
LFMVS81.82 10081.23 10083.57 12991.89 7463.43 20989.84 7281.85 28177.04 5483.21 7493.10 5752.26 22693.43 15071.98 14489.95 9893.85 48
VDD-MVS83.01 8582.36 8684.96 8591.02 8466.40 15188.91 9688.11 19877.57 3884.39 6093.29 5452.19 22793.91 12777.05 10288.70 11094.57 20
VDDNet81.52 10580.67 10784.05 11690.44 9364.13 19389.73 7885.91 23571.11 16083.18 7593.48 4950.54 25093.49 14773.40 13388.25 11694.54 21
v1079.74 14478.67 14482.97 15584.06 23864.95 17887.88 13790.62 12873.11 13275.11 20786.56 21361.46 15294.05 11973.68 12775.55 26189.90 188
VPNet78.69 16878.66 14578.76 24288.31 15955.72 30384.45 22386.63 22576.79 6078.26 13590.55 10859.30 17789.70 24866.63 19177.05 23990.88 144
MVS78.19 18176.99 18681.78 18285.66 21266.99 14284.66 21490.47 13355.08 32172.02 24085.27 24063.83 11794.11 11866.10 19589.80 9984.24 298
v2v48280.23 13579.29 13583.05 15083.62 24564.14 19287.04 15589.97 14873.61 12478.18 13887.22 18961.10 16193.82 13076.11 11076.78 24591.18 136
V4279.38 15478.24 15782.83 16081.10 29565.50 16785.55 19789.82 15271.57 15578.21 13686.12 22360.66 16893.18 15975.64 11475.46 26489.81 193
SD-MVS88.06 1288.50 1186.71 5392.60 6672.71 2891.81 3493.19 3577.87 3390.32 1294.00 4174.83 2393.78 13287.63 1394.27 5793.65 61
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
GA-MVS76.87 20775.17 21581.97 18082.75 26762.58 22281.44 26586.35 23072.16 14674.74 21482.89 27146.20 28292.02 19868.85 17381.09 19791.30 134
MSLP-MVS++85.43 5685.76 5184.45 10091.93 7370.24 7790.71 5092.86 5177.46 4484.22 6292.81 6767.16 9092.94 17080.36 7494.35 5590.16 170
APDe-MVS89.15 489.63 487.73 2694.49 1771.69 5493.83 293.96 1475.70 8491.06 1196.03 176.84 1197.03 1189.09 395.65 2794.47 22
APD-MVS_3200maxsize85.97 4885.88 4986.22 6292.69 6269.53 9291.93 3292.99 4473.54 12785.94 3494.51 2265.80 10495.61 5883.04 5492.51 7193.53 68
ADS-MVSNet266.20 29563.33 29674.82 28679.92 30658.75 26267.55 33175.19 32053.37 32465.25 30075.86 32142.32 30480.53 31341.57 32968.91 30985.18 287
EI-MVSNet80.52 13079.98 11882.12 17584.28 23363.19 21586.41 17588.95 18274.18 11478.69 12587.54 18066.62 9292.43 18372.57 14280.57 20590.74 149
Regformer0.00 3250.00 3270.00 3360.00 3550.00 3560.00 3470.00 3570.00 3510.00 3520.00 3520.00 3570.00 3530.00 3500.00 3500.00 349
CVMVSNet72.99 25172.58 24074.25 29184.28 23350.85 32586.41 17583.45 26344.56 33273.23 22687.54 18049.38 26285.70 29065.90 19778.44 22786.19 275
pmmvs474.03 24071.91 24580.39 21381.96 28168.32 12081.45 26482.14 27759.32 29769.87 26385.13 24452.40 22488.13 27260.21 24274.74 27684.73 294
EU-MVSNet68.53 28267.61 28371.31 30478.51 31847.01 33484.47 22084.27 24942.27 33366.44 29384.79 24940.44 31483.76 29958.76 25668.54 31283.17 307
VNet82.21 9282.41 8481.62 18590.82 8860.93 24184.47 22089.78 15376.36 7484.07 6591.88 7764.71 11290.26 23870.68 15488.89 10693.66 56
test-LLR72.94 25272.43 24174.48 28881.35 29158.04 26978.38 29077.46 31266.66 22669.95 26179.00 30748.06 27079.24 31566.13 19384.83 15386.15 276
TESTMET0.1,169.89 27569.00 26672.55 29779.27 31656.85 28678.38 29074.71 32457.64 30868.09 27577.19 31737.75 32376.70 32663.92 21084.09 16284.10 301
test-mter71.41 26170.39 26074.48 28881.35 29158.04 26978.38 29077.46 31260.32 28869.95 26179.00 30736.08 32879.24 31566.13 19384.83 15386.15 276
VPA-MVSNet80.60 12780.55 10980.76 20888.07 16560.80 24486.86 16191.58 10275.67 8580.24 11089.45 13563.34 12090.25 23970.51 15679.22 22391.23 135
ACMMPR87.44 2487.23 2988.08 1194.64 1073.59 1093.04 993.20 3476.78 6184.66 5494.52 1968.81 7796.65 2484.53 3594.90 4094.00 41
testgi66.67 29166.53 28867.08 31775.62 32941.69 34075.93 30376.50 31766.11 23365.20 30286.59 21035.72 32974.71 33443.71 32473.38 28884.84 292
test20.0367.45 28666.95 28668.94 31175.48 33044.84 33677.50 29777.67 31166.66 22663.01 31183.80 26147.02 27578.40 31942.53 32868.86 31183.58 304
thres600view776.50 21175.44 20879.68 22789.40 11657.16 28285.53 19983.23 26673.79 12276.26 17787.09 19451.89 23591.89 20348.05 31083.72 16990.00 182
ADS-MVSNet64.36 29962.88 30068.78 31479.92 30647.17 33367.55 33171.18 32953.37 32465.25 30075.86 32142.32 30473.99 33741.57 32968.91 30985.18 287
MP-MVScopyleft87.71 1987.64 2187.93 1894.36 2473.88 592.71 1892.65 6177.57 3883.84 6894.40 2872.24 4596.28 3685.65 2495.30 3593.62 63
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs6.04 3238.02 3250.10 3350.08 3530.03 35569.74 3230.04 3550.05 3490.31 3501.68 3500.02 3560.04 3510.24 3480.02 3480.25 348
thres40076.50 21175.37 21279.86 22389.13 13157.65 27785.17 20283.60 25773.41 12976.45 17186.39 21852.12 22891.95 20048.33 30583.75 16690.00 182
test1236.12 3228.11 3240.14 3340.06 3540.09 35471.05 3210.03 3560.04 3500.25 3511.30 3510.05 3550.03 3520.21 3490.01 3490.29 347
thres20075.55 22674.47 22278.82 24187.78 17657.85 27483.07 24983.51 26072.44 14075.84 18784.42 25252.08 23091.75 20647.41 31283.64 17086.86 264
test0.0.03 168.00 28467.69 28268.90 31277.55 32047.43 33275.70 30772.95 32866.66 22666.56 29082.29 28048.06 27075.87 33044.97 32374.51 27883.41 305
pmmvs357.79 30554.26 30868.37 31564.02 34256.72 28975.12 31165.17 34040.20 33552.93 33469.86 33120.36 34175.48 33245.45 32155.25 33372.90 333
EMVS30.81 31629.65 31834.27 33050.96 34725.95 34956.58 34146.80 34824.01 34415.53 34830.68 34412.47 34654.43 34612.81 34617.05 34422.43 344
E-PMN31.77 31530.64 31735.15 32952.87 34627.67 34757.09 34047.86 34724.64 34316.40 34733.05 34311.23 34754.90 34514.46 34518.15 34322.87 343
PGM-MVS86.68 3986.27 4387.90 1994.22 2873.38 1790.22 6693.04 3875.53 8683.86 6794.42 2767.87 8396.64 2582.70 5794.57 4993.66 56
LCM-MVSNet-Re77.05 20376.94 18777.36 26387.20 19251.60 32080.06 27480.46 29475.20 9467.69 27886.72 20162.48 13688.98 26063.44 21389.25 10491.51 126
LCM-MVSNet54.25 30749.68 31267.97 31653.73 34545.28 33566.85 33380.78 28835.96 33939.45 33962.23 3358.70 35078.06 32248.24 30851.20 33780.57 322
MCST-MVS87.37 2887.25 2887.73 2694.53 1672.46 3889.82 7393.82 1673.07 13384.86 5292.89 6376.22 1396.33 3484.89 3195.13 3694.40 23
mvs_anonymous79.42 15179.11 13880.34 21584.45 23257.97 27182.59 25287.62 21167.40 22076.17 18288.56 15668.47 7889.59 24970.65 15586.05 14593.47 69
MVS_Test83.15 8183.06 7683.41 13486.86 19663.21 21386.11 18492.00 8474.31 10982.87 7989.44 13670.03 6493.21 15577.39 9988.50 11493.81 52
MDA-MVSNet-bldmvs66.68 29063.66 29575.75 27679.28 31560.56 24773.92 31578.35 30764.43 25350.13 33679.87 30244.02 29683.67 30046.10 31856.86 33083.03 311
CDPH-MVS85.76 5185.29 5787.17 4493.49 4571.08 6288.58 11192.42 6968.32 21484.61 5593.48 4972.32 4496.15 4379.00 8195.43 2994.28 29
test1286.80 5192.63 6370.70 7391.79 9582.71 8371.67 5096.16 4294.50 5093.54 67
casdiffmvs85.11 6285.14 5885.01 8387.20 19265.77 16387.75 13892.83 5377.84 3484.36 6192.38 6972.15 4693.93 12681.27 6690.48 8995.33 1
diffmvs82.10 9381.88 9482.76 16883.00 26163.78 19983.68 23789.76 15472.94 13682.02 8989.85 12165.96 10390.79 23282.38 6187.30 12793.71 55
baseline275.70 22473.83 23081.30 19583.26 25261.79 23482.57 25380.65 29066.81 22266.88 28683.42 26757.86 18592.19 19263.47 21279.57 21589.91 187
baseline176.98 20576.75 19477.66 25888.13 16255.66 30485.12 20581.89 27973.04 13476.79 16488.90 14562.43 13887.78 27663.30 21571.18 30189.55 200
YYNet165.03 29662.91 29971.38 30075.85 32756.60 29269.12 32874.66 32557.28 31254.12 33277.87 31345.85 28474.48 33549.95 29861.52 32583.05 310
PMMVS240.82 31438.86 31646.69 32753.84 34416.45 35148.61 34249.92 34637.49 33831.67 34060.97 3368.14 35156.42 34428.42 33830.72 34067.19 335
MDA-MVSNet_test_wron65.03 29662.92 29871.37 30175.93 32656.73 28869.09 32974.73 32357.28 31254.03 33377.89 31245.88 28374.39 33649.89 29961.55 32482.99 312
tpmvs71.09 26369.29 26476.49 27282.04 28056.04 30078.92 28781.37 28564.05 25867.18 28478.28 31049.74 25989.77 24549.67 30072.37 29283.67 303
PM-MVS66.41 29364.14 29473.20 29573.92 33156.45 29378.97 28664.96 34263.88 26264.72 30380.24 29719.84 34283.44 30266.24 19264.52 32179.71 325
HQP_MVS83.64 7383.14 7485.14 7990.08 10068.71 11191.25 4292.44 6679.12 2378.92 12291.00 10160.42 17295.38 6878.71 8486.32 14191.33 132
plane_prior790.08 10068.51 118
plane_prior689.84 10568.70 11360.42 172
plane_prior592.44 6695.38 6878.71 8486.32 14191.33 132
plane_prior491.00 101
plane_prior368.60 11678.44 3078.92 122
plane_prior291.25 4279.12 23
plane_prior189.90 104
plane_prior68.71 11190.38 6177.62 3686.16 144
PS-CasMVS78.01 18778.09 15977.77 25787.71 17754.39 31088.02 13091.22 11377.50 4373.26 22588.64 15260.73 16588.41 26961.88 22873.88 28490.53 158
UniMVSNet_NR-MVSNet81.88 9881.54 9782.92 15688.46 15463.46 20787.13 15292.37 7080.19 1478.38 13289.14 13971.66 5193.05 16670.05 16076.46 24892.25 108
PEN-MVS77.73 19277.69 17377.84 25587.07 19553.91 31287.91 13691.18 11577.56 4073.14 22788.82 14861.23 15889.17 25659.95 24372.37 29290.43 161
TransMVSNet (Re)75.39 23074.56 22077.86 25485.50 21657.10 28486.78 16586.09 23472.17 14571.53 24487.34 18463.01 13089.31 25456.84 27261.83 32387.17 257
DTE-MVSNet76.99 20476.80 19077.54 26286.24 20553.06 31687.52 14390.66 12777.08 5372.50 23388.67 15160.48 17189.52 25057.33 26970.74 30390.05 181
DU-MVS81.12 11280.52 11082.90 15787.80 17363.46 20787.02 15691.87 9279.01 2678.38 13289.07 14265.02 11093.05 16670.05 16076.46 24892.20 110
UniMVSNet (Re)81.60 10481.11 10283.09 14788.38 15764.41 18887.60 14193.02 4178.42 3178.56 12888.16 16669.78 6793.26 15469.58 16676.49 24791.60 123
CP-MVSNet78.22 17878.34 15477.84 25587.83 17254.54 30887.94 13491.17 11677.65 3573.48 22388.49 15762.24 14288.43 26862.19 22474.07 28090.55 157
WR-MVS_H78.51 17278.49 14878.56 24588.02 16756.38 29688.43 11392.67 5977.14 5073.89 22187.55 17966.25 9789.24 25558.92 25373.55 28790.06 180
WR-MVS79.49 14879.22 13780.27 21788.79 14458.35 26485.06 20688.61 19378.56 2977.65 14788.34 16163.81 11890.66 23564.98 20577.22 23791.80 122
NR-MVSNet80.23 13579.38 13282.78 16687.80 17363.34 21086.31 17891.09 12079.01 2672.17 23889.07 14267.20 8992.81 17666.08 19675.65 25992.20 110
Baseline_NR-MVSNet78.15 18278.33 15577.61 26085.79 21056.21 29986.78 16585.76 23673.60 12577.93 14387.57 17865.02 11088.99 25967.14 18875.33 26887.63 245
TranMVSNet+NR-MVSNet80.84 11680.31 11482.42 17287.85 17162.33 22587.74 13991.33 11080.55 1177.99 14289.86 12065.23 10892.62 17767.05 18975.24 27292.30 106
TSAR-MVS + GP.85.71 5285.33 5486.84 4991.34 7972.50 3589.07 9387.28 21876.41 6985.80 3790.22 11474.15 3395.37 7181.82 6291.88 7392.65 98
abl_685.23 5984.95 6286.07 6592.23 6970.48 7690.80 4992.08 7973.51 12885.26 4194.16 3562.75 13295.92 5182.46 6091.30 8191.81 121
n20.00 357
nn0.00 357
mPP-MVS86.67 4086.32 4287.72 2894.41 2173.55 1192.74 1692.22 7476.87 5882.81 8294.25 3266.44 9596.24 3782.88 5694.28 5693.38 71
door-mid69.98 332
XVG-OURS-SEG-HR80.81 11979.76 12383.96 12385.60 21468.78 10683.54 24390.50 13270.66 16976.71 16791.66 7960.69 16791.26 21976.94 10481.58 19391.83 119
DWT-MVSNet_test73.70 24271.86 24679.21 23782.91 26458.94 25982.34 25482.17 27665.21 24371.05 24978.31 30944.21 29490.17 24163.29 21677.28 23588.53 231
MVSFormer82.85 8682.05 9085.24 7687.35 18570.21 7890.50 5590.38 13568.55 21181.32 9889.47 13161.68 14893.46 14878.98 8290.26 9292.05 115
jason81.39 10880.29 11584.70 9486.63 20269.90 8585.95 18786.77 22363.24 26381.07 10489.47 13161.08 16292.15 19478.33 9090.07 9792.05 115
jason: jason.
lupinMVS81.39 10880.27 11684.76 9387.35 18570.21 7885.55 19786.41 22762.85 26981.32 9888.61 15361.68 14892.24 19178.41 8990.26 9291.83 119
test_djsdf80.30 13479.32 13483.27 13883.98 24065.37 17190.50 5590.38 13568.55 21176.19 17988.70 14956.44 19893.46 14878.98 8280.14 21290.97 142
HPM-MVS_fast85.35 5884.95 6286.57 5793.69 4070.58 7592.15 3091.62 10073.89 12082.67 8494.09 3862.60 13395.54 6180.93 6892.93 6493.57 65
RRT_test8_iter0578.38 17577.40 17781.34 19486.00 20858.86 26086.55 17391.26 11272.13 14775.91 18487.42 18344.97 29093.73 13877.02 10375.30 26991.45 131
K. test v371.19 26268.51 26979.21 23783.04 26057.78 27684.35 22776.91 31672.90 13762.99 31282.86 27239.27 31791.09 22761.65 23152.66 33588.75 225
lessismore_v078.97 23981.01 29657.15 28365.99 33961.16 31682.82 27339.12 31891.34 21859.67 24546.92 33888.43 233
SixPastTwentyTwo73.37 24471.26 25379.70 22685.08 22557.89 27385.57 19383.56 25971.03 16265.66 29685.88 22742.10 30692.57 17959.11 25163.34 32288.65 228
OurMVSNet-221017-074.26 23672.42 24279.80 22583.76 24459.59 25685.92 18986.64 22466.39 23166.96 28587.58 17739.46 31691.60 20965.76 19969.27 30788.22 235
HPM-MVScopyleft87.11 3386.98 3387.50 3793.88 3572.16 4592.19 2893.33 3176.07 7983.81 6993.95 4369.77 6896.01 4785.15 2794.66 4694.32 27
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
XVG-OURS80.41 13179.23 13683.97 12285.64 21369.02 10083.03 25090.39 13471.09 16177.63 14891.49 8754.62 21091.35 21775.71 11383.47 17191.54 125
XVG-ACMP-BASELINE76.11 21974.27 22581.62 18583.20 25464.67 18283.60 24189.75 15569.75 18571.85 24187.09 19432.78 33292.11 19569.99 16280.43 20888.09 237
LPG-MVS_test82.08 9481.27 9984.50 9889.23 12768.76 10790.22 6691.94 8875.37 9076.64 16991.51 8554.29 21194.91 8778.44 8783.78 16489.83 191
LGP-MVS_train84.50 9889.23 12768.76 10791.94 8875.37 9076.64 16991.51 8554.29 21194.91 8778.44 8783.78 16489.83 191
baseline84.93 6484.98 6084.80 9287.30 19065.39 17087.30 14992.88 5077.62 3684.04 6692.26 7071.81 4893.96 12081.31 6590.30 9195.03 4
test1192.23 73
door69.44 335
EPNet_dtu75.46 22774.86 21677.23 26782.57 27254.60 30786.89 16083.09 26971.64 15166.25 29485.86 22855.99 19988.04 27354.92 27886.55 13889.05 211
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x268877.63 19675.69 20483.44 13189.98 10268.58 11778.70 28987.50 21456.38 31675.80 18886.84 19758.67 18091.40 21661.58 23285.75 14990.34 165
EPNet83.72 7282.92 7986.14 6484.22 23569.48 9391.05 4685.27 23981.30 776.83 16391.65 8066.09 9995.56 6076.00 11293.85 6093.38 71
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS66.98 143
HQP-NCC89.33 11989.17 8776.41 6977.23 157
ACMP_Plane89.33 11989.17 8776.41 6977.23 157
APD-MVScopyleft87.44 2487.52 2287.19 4394.24 2772.39 4091.86 3392.83 5373.01 13588.58 1894.52 1973.36 3596.49 3284.26 3995.01 3792.70 94
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS77.47 97
HQP4-MVS77.24 15695.11 7891.03 139
HQP3-MVS92.19 7685.99 146
HQP2-MVS60.17 175
CNVR-MVS88.93 789.13 788.33 594.77 973.82 790.51 5493.00 4280.90 988.06 2394.06 3976.43 1296.84 1688.48 1095.99 1494.34 26
NCCC88.06 1288.01 1788.24 894.41 2173.62 991.22 4492.83 5381.50 685.79 3893.47 5173.02 4097.00 1384.90 2994.94 3994.10 34
114514_t80.68 12579.51 12884.20 11094.09 3467.27 13989.64 8091.11 11958.75 30374.08 22090.72 10558.10 18395.04 8369.70 16489.42 10390.30 166
CP-MVS87.11 3386.92 3487.68 3394.20 2973.86 693.98 192.82 5676.62 6683.68 7094.46 2367.93 8195.95 5084.20 4194.39 5393.23 77
DSMNet-mixed57.77 30656.90 30760.38 32167.70 34035.61 34369.18 32653.97 34532.30 34257.49 32779.88 30140.39 31568.57 34138.78 33372.37 29276.97 330
tpm273.26 24771.46 24978.63 24383.34 25056.71 29080.65 26980.40 29556.63 31573.55 22282.02 28351.80 23791.24 22056.35 27478.42 22887.95 238
NP-MVS89.62 10868.32 12090.24 112
EG-PatchMatch MVS74.04 23971.82 24780.71 20984.92 22667.42 13585.86 19088.08 20166.04 23564.22 30683.85 25935.10 33092.56 18057.44 26780.83 20082.16 316
tpm cat170.57 26768.31 27177.35 26482.41 27657.95 27278.08 29480.22 29852.04 32768.54 27477.66 31552.00 23287.84 27551.77 28872.07 29686.25 273
SteuartSystems-ACMMP88.72 888.86 888.32 692.14 7072.96 2493.73 393.67 1980.19 1488.10 2294.80 1373.76 3497.11 987.51 1495.82 1994.90 6
Skip Steuart: Steuart Systems R&D Blog.
CostFormer75.24 23173.90 22879.27 23582.65 27158.27 26680.80 26682.73 27361.57 28075.33 20283.13 26955.52 20091.07 22864.98 20578.34 22988.45 232
CR-MVSNet73.37 24471.27 25279.67 22881.32 29365.19 17475.92 30480.30 29659.92 29272.73 23181.19 28652.50 22286.69 28259.84 24477.71 23187.11 260
JIA-IIPM66.32 29462.82 30176.82 27077.09 32461.72 23565.34 33475.38 31958.04 30664.51 30462.32 33442.05 30786.51 28551.45 29169.22 30882.21 315
Patchmtry70.74 26569.16 26575.49 28180.72 29754.07 31174.94 31380.30 29658.34 30470.01 25881.19 28652.50 22286.54 28453.37 28471.09 30285.87 283
PatchT68.46 28367.85 27870.29 30780.70 29843.93 33772.47 31774.88 32160.15 29070.55 25076.57 31949.94 25681.59 30950.58 29374.83 27585.34 286
tpmrst72.39 25572.13 24473.18 29680.54 30049.91 32879.91 27779.08 30563.11 26471.69 24379.95 30055.32 20182.77 30665.66 20073.89 28386.87 263
BH-w/o78.21 17977.33 18080.84 20688.81 14265.13 17684.87 21087.85 20869.75 18574.52 21684.74 25061.34 15593.11 16358.24 26185.84 14884.27 297
tpm72.37 25771.71 24874.35 29082.19 27952.00 31779.22 28377.29 31464.56 25272.95 22983.68 26551.35 24083.26 30458.33 26075.80 25787.81 242
DELS-MVS85.41 5785.30 5685.77 6888.49 15267.93 12885.52 20193.44 2778.70 2883.63 7389.03 14474.57 2495.71 5780.26 7694.04 5993.66 56
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 14978.60 14682.05 17789.19 12965.91 15986.07 18588.52 19472.18 14475.42 19687.69 17561.15 16093.54 14560.38 24086.83 13486.70 268
RPMNet71.62 25968.94 26779.67 22881.32 29365.19 17475.92 30478.30 30857.60 30972.73 23176.45 32052.30 22586.69 28248.14 30977.71 23187.11 260
MVSTER79.01 16177.88 16582.38 17383.07 25864.80 18084.08 23488.95 18269.01 20378.69 12587.17 19254.70 20892.43 18374.69 12080.57 20589.89 189
CPTT-MVS83.73 7183.33 7384.92 8893.28 4770.86 7092.09 3190.38 13568.75 20879.57 11492.83 6560.60 17093.04 16880.92 6991.56 7790.86 145
GBi-Net78.40 17377.40 17781.40 19187.60 18063.01 21788.39 11789.28 16571.63 15275.34 19987.28 18554.80 20491.11 22262.72 21879.57 21590.09 176
PVSNet_Blended_VisFu82.62 8881.83 9584.96 8590.80 8969.76 8788.74 10591.70 9969.39 19078.96 12088.46 15865.47 10694.87 9274.42 12188.57 11190.24 168
PVSNet_BlendedMVS80.60 12780.02 11782.36 17488.85 13865.40 16886.16 18392.00 8469.34 19278.11 13986.09 22466.02 10194.27 10771.52 14682.06 18887.39 250
UnsupCasMVSNet_eth67.33 28765.99 28971.37 30173.48 33351.47 32275.16 30985.19 24065.20 24460.78 31780.93 29342.35 30377.20 32557.12 27053.69 33485.44 285
UnsupCasMVSNet_bld63.70 30161.53 30470.21 30873.69 33251.39 32372.82 31681.89 27955.63 31957.81 32671.80 32938.67 31978.61 31849.26 30252.21 33680.63 321
PVSNet_Blended80.98 11380.34 11382.90 15788.85 13865.40 16884.43 22492.00 8467.62 21778.11 13985.05 24766.02 10194.27 10771.52 14689.50 10189.01 213
FMVSNet569.50 27667.96 27674.15 29282.97 26355.35 30580.01 27582.12 27862.56 27363.02 31081.53 28536.92 32581.92 30848.42 30474.06 28185.17 289
test178.40 17377.40 17781.40 19187.60 18063.01 21788.39 11789.28 16571.63 15275.34 19987.28 18554.80 20491.11 22262.72 21879.57 21590.09 176
new_pmnet50.91 31050.29 31152.78 32568.58 33934.94 34563.71 33656.63 34439.73 33644.95 33765.47 33221.93 34058.48 34334.98 33656.62 33164.92 336
FMVSNet377.88 19076.85 18980.97 20486.84 19862.36 22486.52 17488.77 18671.13 15975.34 19986.66 20854.07 21491.10 22562.72 21879.57 21589.45 201
dp66.80 28965.43 29070.90 30679.74 31148.82 33175.12 31174.77 32259.61 29464.08 30777.23 31642.89 30080.72 31248.86 30366.58 31683.16 308
FMVSNet278.20 18077.21 18181.20 19887.60 18062.89 22187.47 14589.02 17771.63 15275.29 20387.28 18554.80 20491.10 22562.38 22279.38 21989.61 198
FMVSNet177.44 19876.12 20381.40 19186.81 19963.01 21788.39 11789.28 16570.49 17274.39 21787.28 18549.06 26791.11 22260.91 23778.52 22590.09 176
N_pmnet52.79 30953.26 30951.40 32678.99 3177.68 35369.52 3243.89 35351.63 32957.01 32874.98 32440.83 31265.96 34237.78 33464.67 32080.56 323
cascas76.72 20974.64 21882.99 15385.78 21165.88 16082.33 25589.21 17060.85 28572.74 23081.02 29047.28 27493.75 13667.48 18285.02 151