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.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort by
MCST-MVS91.08 191.46 289.94 497.66 273.37 997.13 295.58 889.33 185.77 3996.26 2472.84 2299.38 192.64 495.93 897.08 7
OPU-MVS89.97 397.52 373.15 1196.89 497.00 983.82 299.15 295.72 197.63 397.62 2
test_0728_SECOND88.70 1396.45 1070.43 2596.64 894.37 4799.15 291.91 1094.90 1996.51 18
SED-MVS89.94 790.36 788.70 1396.45 1069.38 4296.89 494.44 4071.65 18392.11 397.21 576.79 799.11 492.34 695.36 1297.62 2
test_241102_TWO94.41 4371.65 18392.07 597.21 574.58 1499.11 492.34 695.36 1296.59 13
test_241102_ONE96.45 1069.38 4294.44 4071.65 18392.11 397.05 876.79 799.11 4
DPM-MVS90.70 290.52 591.24 189.68 14676.68 297.29 195.35 1082.87 1491.58 897.22 479.93 399.10 783.12 7197.64 297.94 1
CANet89.61 989.99 988.46 1794.39 3769.71 3896.53 1193.78 6186.89 489.68 1595.78 3165.94 6099.10 792.99 293.91 4096.58 15
MSP-MVS89.41 1089.73 1188.45 1896.40 1369.99 3096.64 894.52 3671.92 16990.55 1296.93 1073.77 1799.08 991.91 1094.90 1996.29 26
test_0728_THIRD72.48 15290.55 1296.93 1076.24 999.08 991.53 1294.99 1596.43 22
CNVR-MVS90.32 490.89 488.61 1696.76 770.65 2296.47 1294.83 2384.83 889.07 1996.80 1270.86 2999.06 1192.64 495.71 996.12 30
QAPM79.95 14077.39 16587.64 2689.63 14771.41 1593.30 9393.70 6765.34 25367.39 22791.75 13247.83 23698.96 1257.71 25489.81 9192.54 150
DELS-MVS90.05 690.09 889.94 493.14 6873.88 897.01 394.40 4588.32 285.71 4194.91 6174.11 1698.91 1387.26 4395.94 797.03 8
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
MVS84.66 6682.86 8890.06 290.93 12374.56 687.91 24695.54 968.55 23072.35 16794.71 6759.78 12298.90 1481.29 8994.69 2896.74 10
API-MVS82.28 10480.53 11787.54 3196.13 1970.59 2393.63 8191.04 17565.72 25075.45 13692.83 11256.11 16498.89 1564.10 22089.75 9493.15 134
MAR-MVS84.18 7583.43 7586.44 6596.25 1865.93 13494.28 5194.27 5074.41 11179.16 10095.61 3753.99 18498.88 1669.62 16993.26 5194.50 91
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
PHI-MVS86.83 3786.85 3786.78 5193.47 6065.55 14495.39 2995.10 1771.77 18085.69 4296.52 1562.07 10398.77 1786.06 5195.60 1096.03 33
NCCC89.07 1289.46 1287.91 2196.60 869.05 4996.38 1394.64 3384.42 986.74 3096.20 2566.56 5698.76 1889.03 2894.56 2995.92 37
DeepPCF-MVS81.17 189.72 891.38 384.72 12293.00 7158.16 27396.72 794.41 4386.50 590.25 1497.83 175.46 1298.67 1992.78 395.49 1197.32 4
HPM-MVS++copyleft89.37 1189.95 1087.64 2695.10 2868.23 7095.24 3194.49 3882.43 1788.90 2096.35 2171.89 2898.63 2088.76 3096.40 496.06 31
CHOSEN 1792x268884.98 6183.45 7489.57 989.94 14175.14 592.07 13692.32 12181.87 2475.68 13188.27 17160.18 11898.60 2180.46 9490.27 9094.96 74
3Dnovator73.91 682.69 10080.82 11288.31 1989.57 14871.26 1692.60 11994.39 4678.84 5767.89 21992.48 11948.42 23098.52 2268.80 17994.40 3395.15 65
DPE-MVS88.77 1389.21 1387.45 3396.26 1767.56 8594.17 5294.15 5468.77 22890.74 1197.27 376.09 1098.49 2390.58 1794.91 1896.30 25
ETH3 D test640090.27 590.44 689.75 696.82 674.33 795.89 1694.80 2677.13 7889.13 1897.38 274.49 1598.48 2492.32 995.98 696.46 21
CSCG86.87 3586.26 4188.72 1295.05 2970.79 2193.83 7695.33 1168.48 23277.63 11494.35 7773.04 2098.45 2584.92 5993.71 4596.92 9
DeepC-MVS77.85 385.52 5385.24 5586.37 6988.80 16566.64 11492.15 13093.68 6881.07 3176.91 12493.64 9262.59 10098.44 2685.50 5492.84 5694.03 110
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast79.48 287.95 1888.00 1887.79 2495.86 2368.32 6595.74 2094.11 5683.82 1183.49 6296.19 2664.53 7598.44 2683.42 7094.88 2296.61 12
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SMA-MVS88.14 1488.29 1787.67 2593.21 6568.72 5793.85 7294.03 5774.18 11691.74 796.67 1365.61 6598.42 2889.24 2496.08 595.88 39
Regformer-187.24 2787.60 2586.15 7695.14 2665.83 13793.95 6595.12 1582.11 2184.25 5395.73 3367.88 4398.35 2985.60 5388.64 9994.26 96
Regformer-385.80 5185.92 4685.46 9994.17 4165.09 15792.95 10695.11 1681.13 3081.68 7195.04 5365.82 6298.32 3083.02 7284.36 13092.97 140
TSAR-MVS + GP.87.96 1788.37 1686.70 5593.51 5965.32 14795.15 3493.84 6078.17 6685.93 3894.80 6575.80 1198.21 3189.38 2188.78 9796.59 13
DP-MVS Recon82.73 9781.65 10385.98 7997.31 467.06 10195.15 3491.99 13669.08 22576.50 12793.89 8954.48 18098.20 3270.76 16085.66 12192.69 145
Regformer-287.00 3487.43 2785.71 9295.14 2664.73 16493.95 6594.95 2081.69 2684.03 5995.73 3367.35 4798.19 3385.40 5588.64 9994.20 98
MVS_111021_HR86.19 4685.80 4987.37 3593.17 6769.79 3693.99 6393.76 6479.08 5478.88 10393.99 8762.25 10298.15 3485.93 5291.15 8194.15 103
OpenMVScopyleft70.45 1178.54 16775.92 18486.41 6885.93 21971.68 1492.74 11292.51 11866.49 24464.56 24891.96 12743.88 25998.10 3554.61 26390.65 8689.44 194
Regformer-485.45 5485.69 5184.73 12094.17 4163.23 20292.95 10694.83 2380.66 3481.29 7495.04 5365.12 6898.08 3682.74 7484.36 13092.88 144
ZNCC-MVS85.33 5685.08 5786.06 7793.09 7065.65 14193.89 7093.41 8273.75 12679.94 8994.68 6860.61 11598.03 3782.63 7793.72 4494.52 90
ETH3D cwj APD-0.1687.06 3187.18 3286.71 5391.99 9467.48 9092.97 10494.21 5271.48 19485.72 4096.32 2368.13 3898.00 3889.06 2694.70 2794.65 84
ETH3D-3000-0.187.61 2287.89 1986.75 5293.58 5667.21 9694.31 5094.14 5572.92 14487.13 2696.62 1467.81 4497.94 3990.13 1894.42 3295.09 68
SteuartSystems-ACMMP86.82 3886.90 3586.58 5990.42 13266.38 12196.09 1593.87 5977.73 7184.01 6095.66 3563.39 9197.94 3987.40 4093.55 4895.42 47
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ACMMP_NAP86.05 4785.80 4986.80 5091.58 10867.53 8791.79 14993.49 7774.93 10784.61 4995.30 4459.42 12697.92 4186.13 5094.92 1794.94 75
testtj86.62 4086.66 3986.50 6396.95 565.70 13994.41 4893.45 7867.74 23486.19 3496.39 2064.38 7697.91 4287.33 4193.14 5395.90 38
EI-MVSNet-Vis-set83.77 8483.67 7084.06 13792.79 7963.56 19891.76 15294.81 2579.65 4477.87 11094.09 8463.35 9297.90 4379.35 9979.36 16290.74 178
PS-MVSNAJ88.14 1487.61 2489.71 792.06 9276.72 195.75 1993.26 8683.86 1089.55 1696.06 2853.55 18997.89 4491.10 1393.31 5094.54 88
9.1487.63 2393.86 4794.41 4894.18 5372.76 14786.21 3396.51 1666.64 5497.88 4590.08 1994.04 37
GST-MVS84.63 6784.29 6685.66 9492.82 7665.27 14893.04 10193.13 9473.20 13678.89 10294.18 8359.41 12797.85 4681.45 8592.48 6293.86 117
xxxxxxxxxxxxxcwj87.14 2987.19 3186.99 4593.84 4867.89 7795.05 3884.72 29478.19 6486.25 3196.44 1866.98 4997.79 4788.68 3194.56 2995.28 58
SF-MVS87.03 3287.09 3386.84 4792.70 8067.45 9193.64 8093.76 6470.78 20686.25 3196.44 1866.98 4997.79 4788.68 3194.56 2995.28 58
EI-MVSNet-UG-set83.14 9282.96 8583.67 14792.28 8763.19 20491.38 16894.68 3179.22 4976.60 12593.75 9062.64 9997.76 4978.07 11078.01 17390.05 186
xiu_mvs_v2_base87.92 1987.38 2989.55 1091.41 11676.43 395.74 2093.12 9583.53 1289.55 1695.95 2953.45 19397.68 5091.07 1492.62 5894.54 88
HFP-MVS84.73 6484.40 6585.72 9093.75 5265.01 15893.50 8793.19 9072.19 16379.22 9894.93 5859.04 13197.67 5181.55 8392.21 6394.49 92
#test#84.98 6184.74 6185.72 9093.75 5265.01 15894.09 5793.19 9073.55 13279.22 9894.93 5859.04 13197.67 5182.66 7592.21 6394.49 92
IB-MVS77.80 482.18 10580.46 11887.35 3689.14 15870.28 2795.59 2595.17 1478.85 5670.19 18885.82 20170.66 3197.67 5172.19 15066.52 25194.09 106
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
APDe-MVS87.54 2387.84 2086.65 5696.07 2066.30 12494.84 4493.78 6169.35 21988.39 2196.34 2267.74 4597.66 5490.62 1693.44 4996.01 34
3Dnovator+73.60 782.10 10980.60 11686.60 5790.89 12666.80 11195.20 3293.44 8074.05 11767.42 22592.49 11849.46 22197.65 5570.80 15991.68 7295.33 51
SD-MVS87.49 2487.49 2687.50 3293.60 5568.82 5593.90 6992.63 11476.86 8287.90 2395.76 3266.17 5797.63 5689.06 2691.48 7696.05 32
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
WTY-MVS86.32 4385.81 4887.85 2292.82 7669.37 4495.20 3295.25 1282.71 1581.91 6994.73 6667.93 4297.63 5679.55 9882.25 14496.54 16
PAPR85.15 5884.47 6287.18 3996.02 2168.29 6691.85 14793.00 10076.59 8679.03 10195.00 5561.59 10697.61 5878.16 10989.00 9695.63 43
test1287.09 4294.60 3468.86 5392.91 10282.67 6665.44 6697.55 5993.69 4694.84 77
region2R84.36 6984.03 6885.36 10493.54 5864.31 17893.43 9092.95 10172.16 16678.86 10494.84 6356.97 15297.53 6081.38 8792.11 6794.24 97
PAPM_NR82.97 9481.84 10186.37 6994.10 4566.76 11287.66 25092.84 10469.96 21374.07 14693.57 9463.10 9697.50 6170.66 16290.58 8794.85 76
ACMMPR84.37 6884.06 6785.28 10693.56 5764.37 17693.50 8793.15 9372.19 16378.85 10594.86 6256.69 15797.45 6281.55 8392.20 6594.02 111
test_yl84.28 7183.16 8287.64 2694.52 3569.24 4595.78 1795.09 1869.19 22281.09 7792.88 11057.00 15097.44 6381.11 9081.76 14896.23 28
DCV-MVSNet84.28 7183.16 8287.64 2694.52 3569.24 4595.78 1795.09 1869.19 22281.09 7792.88 11057.00 15097.44 6381.11 9081.76 14896.23 28
XVS83.87 8283.47 7385.05 11193.22 6363.78 18892.92 10892.66 11173.99 11878.18 10894.31 8055.25 17097.41 6579.16 10191.58 7493.95 113
X-MVStestdata76.86 18974.13 20785.05 11193.22 6363.78 18892.92 10892.66 11173.99 11878.18 10810.19 34955.25 17097.41 6579.16 10191.58 7493.95 113
gm-plane-assit88.42 17367.04 10378.62 6191.83 12997.37 6776.57 118
CDPH-MVS85.71 5285.46 5386.46 6494.75 3167.19 9793.89 7092.83 10570.90 20283.09 6495.28 4563.62 8797.36 6880.63 9294.18 3594.84 77
AdaColmapbinary78.94 15677.00 17084.76 11996.34 1565.86 13592.66 11887.97 26862.18 27370.56 18192.37 12243.53 26097.35 6964.50 21882.86 14091.05 176
EPNet87.84 2088.38 1586.23 7493.30 6266.05 12995.26 3094.84 2287.09 388.06 2294.53 7066.79 5397.34 7083.89 6791.68 7295.29 56
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Anonymous2024052976.84 19174.15 20684.88 11691.02 12164.95 16193.84 7591.09 17253.57 31273.00 15287.42 18535.91 29797.32 7169.14 17572.41 21392.36 153
PGM-MVS83.25 9082.70 9284.92 11492.81 7864.07 18490.44 19792.20 13071.28 19577.23 12094.43 7155.17 17497.31 7279.33 10091.38 7793.37 126
Anonymous20240521177.96 17575.33 19085.87 8493.73 5464.52 16694.85 4385.36 29062.52 27176.11 12890.18 15129.43 31797.29 7368.51 18077.24 18695.81 40
PVSNet_BlendedMVS83.38 8983.43 7583.22 15593.76 5067.53 8794.06 5993.61 7179.13 5281.00 8085.14 20763.19 9497.29 7387.08 4473.91 20184.83 267
PVSNet_Blended86.73 3986.86 3686.31 7293.76 5067.53 8796.33 1493.61 7182.34 1881.00 8093.08 10163.19 9497.29 7387.08 4491.38 7794.13 104
TEST994.18 3967.28 9494.16 5393.51 7571.75 18185.52 4395.33 4268.01 3997.27 76
train_agg87.21 2887.42 2886.60 5794.18 3967.28 9494.16 5393.51 7571.87 17485.52 4395.33 4268.19 3697.27 7689.09 2594.90 1995.25 63
DVP-MVS90.38 391.87 185.88 8292.83 7464.03 18593.06 9994.33 4882.19 1993.65 296.15 2785.89 197.19 7891.02 1597.75 196.43 22
MP-MVScopyleft85.02 5984.97 5885.17 11092.60 8264.27 18193.24 9492.27 12373.13 13879.63 9494.43 7161.90 10497.17 7985.00 5792.56 5994.06 109
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
zzz-MVS84.73 6484.47 6285.50 9791.89 9965.16 15291.55 15992.23 12575.32 10180.53 8495.21 5156.06 16597.16 8084.86 6092.55 6094.18 99
MTAPA83.91 8183.38 7985.50 9791.89 9965.16 15281.75 28992.23 12575.32 10180.53 8495.21 5156.06 16597.16 8084.86 6092.55 6094.18 99
VDD-MVS83.06 9381.81 10286.81 4990.86 12767.70 8295.40 2891.50 15775.46 9681.78 7092.34 12340.09 27097.13 8286.85 4782.04 14695.60 44
LFMVS84.34 7082.73 9189.18 1194.76 3073.25 1094.99 4191.89 14071.90 17182.16 6893.49 9647.98 23597.05 8382.55 7884.82 12697.25 5
sss82.71 9982.38 9683.73 14489.25 15559.58 26092.24 12894.89 2177.96 6879.86 9192.38 12156.70 15697.05 8377.26 11580.86 15694.55 86
131480.70 12578.95 14285.94 8187.77 18967.56 8587.91 24692.55 11772.17 16567.44 22493.09 10050.27 21497.04 8571.68 15587.64 10693.23 132
无先验92.71 11392.61 11562.03 27497.01 8666.63 19493.97 112
112181.25 11880.05 12084.87 11792.30 8664.31 17887.91 24691.39 16159.44 29279.94 8992.91 10757.09 14697.01 8666.63 19492.81 5793.29 130
MP-MVS-pluss85.24 5785.13 5685.56 9691.42 11465.59 14391.54 16092.51 11874.56 11080.62 8395.64 3659.15 13097.00 8886.94 4693.80 4194.07 108
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
VNet86.20 4585.65 5287.84 2393.92 4669.99 3095.73 2295.94 678.43 6286.00 3793.07 10358.22 13697.00 8885.22 5684.33 13396.52 17
APD-MVScopyleft85.93 4985.99 4585.76 8995.98 2265.21 15093.59 8392.58 11666.54 24386.17 3595.88 3063.83 8397.00 8886.39 4992.94 5495.06 69
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
mPP-MVS82.96 9582.44 9584.52 12792.83 7462.92 21192.76 11191.85 14271.52 19175.61 13494.24 8253.48 19296.99 9178.97 10490.73 8493.64 122
CANet_DTU84.09 7783.52 7185.81 8690.30 13566.82 10991.87 14589.01 24185.27 686.09 3693.74 9147.71 23896.98 9277.90 11289.78 9393.65 121
PVSNet_Blended_VisFu83.97 7983.50 7285.39 10390.02 13966.59 11793.77 7791.73 14677.43 7777.08 12389.81 15763.77 8596.97 9379.67 9788.21 10292.60 148
ACMMPcopyleft81.49 11580.67 11483.93 13991.71 10562.90 21292.13 13192.22 12971.79 17971.68 17693.49 9650.32 21296.96 9478.47 10784.22 13791.93 161
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
test_894.19 3867.19 9794.15 5593.42 8171.87 17485.38 4595.35 4168.19 3696.95 95
HY-MVS76.49 584.28 7183.36 8087.02 4492.22 8967.74 8184.65 26994.50 3779.15 5182.23 6787.93 17866.88 5196.94 9680.53 9382.20 14596.39 24
MG-MVS87.11 3086.27 4089.62 897.79 176.27 494.96 4294.49 3878.74 6083.87 6192.94 10664.34 7796.94 9675.19 12694.09 3695.66 42
canonicalmvs86.85 3686.25 4288.66 1591.80 10371.92 1393.54 8591.71 14880.26 3887.55 2495.25 4963.59 8996.93 9888.18 3484.34 13297.11 6
alignmvs87.28 2686.97 3488.24 2091.30 11771.14 1995.61 2493.56 7379.30 4787.07 2995.25 4968.43 3496.93 9887.87 3684.33 13396.65 11
test_prior387.38 2587.70 2286.42 6694.71 3267.35 9295.10 3693.10 9675.40 9985.25 4795.61 3767.94 4096.84 10087.47 3894.77 2395.05 70
test_prior86.42 6694.71 3267.35 9293.10 9696.84 10095.05 70
MSLP-MVS++86.27 4485.91 4787.35 3692.01 9368.97 5295.04 4092.70 10879.04 5581.50 7396.50 1758.98 13396.78 10283.49 6993.93 3996.29 26
abl_679.82 14279.20 13981.70 19489.85 14258.34 27188.47 23990.07 20162.56 27077.71 11293.08 10147.65 23996.78 10277.94 11185.45 12389.99 187
agg_prior187.02 3387.26 3086.28 7394.16 4366.97 10594.08 5893.31 8471.85 17684.49 5195.39 4068.91 3396.75 10488.84 2994.32 3495.13 66
agg_prior94.16 4366.97 10593.31 8484.49 5196.75 104
原ACMM184.42 13093.21 6564.27 18193.40 8365.39 25179.51 9592.50 11658.11 13896.69 10665.27 21493.96 3892.32 155
ab-mvs80.18 13478.31 14885.80 8788.44 17265.49 14683.00 28492.67 11071.82 17877.36 11885.01 20854.50 17996.59 10776.35 12175.63 19495.32 53
PCF-MVS73.15 979.29 15077.63 16084.29 13386.06 21465.96 13387.03 25691.10 17169.86 21469.79 19590.64 14257.54 14396.59 10764.37 21982.29 14390.32 182
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
新几何184.73 12092.32 8564.28 18091.46 15959.56 29179.77 9292.90 10856.95 15396.57 10963.40 22492.91 5593.34 127
VDDNet80.50 12978.26 14987.21 3886.19 21269.79 3694.48 4791.31 16360.42 28479.34 9690.91 13938.48 27796.56 11082.16 7981.05 15495.27 60
thisisatest051583.41 8882.49 9486.16 7589.46 15268.26 6893.54 8594.70 3074.31 11475.75 13090.92 13872.62 2396.52 11169.64 16781.50 15093.71 119
cascas78.18 17175.77 18685.41 10287.14 20069.11 4792.96 10591.15 16966.71 24270.47 18286.07 19837.49 28796.48 11270.15 16579.80 15990.65 179
EIA-MVS84.84 6384.88 5984.69 12391.30 11762.36 22093.85 7292.04 13479.45 4579.33 9794.28 8162.42 10196.35 11380.05 9591.25 8095.38 49
baseline283.68 8783.42 7784.48 12987.37 19666.00 13190.06 20995.93 779.71 4369.08 20090.39 14777.92 496.28 11478.91 10581.38 15191.16 174
HPM-MVScopyleft83.25 9082.95 8684.17 13592.25 8862.88 21390.91 18591.86 14170.30 21077.12 12193.96 8856.75 15596.28 11482.04 8091.34 7993.34 127
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
DWT-MVSNet_test83.95 8082.80 8987.41 3492.90 7370.07 2989.12 22994.42 4282.15 2077.64 11391.77 13070.81 3096.22 11665.03 21581.36 15295.94 35
CP-MVS83.71 8683.40 7884.65 12493.14 6863.84 18694.59 4692.28 12271.03 20077.41 11794.92 6055.21 17396.19 11781.32 8890.70 8593.91 115
UGNet79.87 14178.68 14383.45 15489.96 14061.51 23192.13 13190.79 17976.83 8378.85 10586.33 19638.16 27996.17 11867.93 18487.17 10992.67 146
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
APD-MVS_3200maxsize81.64 11481.32 10682.59 16892.36 8458.74 26991.39 16691.01 17663.35 26379.72 9394.62 6951.82 20296.14 11979.71 9687.93 10492.89 143
BH-RMVSNet79.46 14977.65 15984.89 11591.68 10665.66 14093.55 8488.09 26572.93 14373.37 15091.12 13746.20 24896.12 12056.28 25985.61 12292.91 142
testdata296.09 12161.26 238
MVS_Test84.16 7683.20 8187.05 4391.56 10969.82 3589.99 21392.05 13377.77 7082.84 6586.57 19363.93 8296.09 12174.91 13289.18 9595.25 63
CS-MVS86.61 4186.85 3785.88 8291.52 11266.25 12695.42 2792.25 12480.36 3784.10 5894.82 6462.88 9896.08 12388.25 3392.07 6895.30 55
baseline85.01 6084.44 6486.71 5388.33 17568.73 5690.24 20591.82 14481.05 3281.18 7692.50 11663.69 8696.08 12384.45 6286.71 11495.32 53
casdiffmvs85.37 5584.87 6086.84 4788.25 17869.07 4893.04 10191.76 14581.27 2880.84 8292.07 12664.23 7896.06 12584.98 5887.43 10895.39 48
thisisatest053081.15 11980.07 11984.39 13188.26 17765.63 14291.40 16494.62 3471.27 19670.93 18089.18 16072.47 2496.04 12665.62 20976.89 18891.49 166
TSAR-MVS + MP.88.11 1688.64 1486.54 6191.73 10468.04 7390.36 20193.55 7482.89 1391.29 992.89 10972.27 2596.03 12787.99 3594.77 2395.54 46
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
MSDG69.54 25865.73 26480.96 21185.11 22863.71 19284.19 27183.28 30856.95 30254.50 29784.03 21731.50 31196.03 12742.87 30569.13 23383.14 286
Effi-MVS+83.82 8382.76 9086.99 4589.56 14969.40 4191.35 17086.12 28472.59 14983.22 6392.81 11359.60 12496.01 12981.76 8287.80 10595.56 45
UA-Net80.02 13879.65 12781.11 20589.33 15357.72 27786.33 26389.00 24277.44 7681.01 7989.15 16159.33 12895.90 13061.01 23984.28 13589.73 190
SR-MVS82.81 9682.58 9383.50 15293.35 6161.16 23692.23 12991.28 16664.48 25681.27 7595.28 4553.71 18895.86 13182.87 7388.77 9893.49 125
lupinMVS87.74 2187.77 2187.63 3089.24 15671.18 1796.57 1092.90 10382.70 1687.13 2695.27 4764.99 7095.80 13289.34 2291.80 7095.93 36
MS-PatchMatch77.90 17876.50 17682.12 18385.99 21569.95 3391.75 15492.70 10873.97 12062.58 26784.44 21541.11 26795.78 13363.76 22392.17 6680.62 308
CLD-MVS82.73 9782.35 9783.86 14087.90 18767.65 8495.45 2692.18 13285.06 772.58 16092.27 12452.46 19995.78 13384.18 6379.06 16588.16 209
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
HPM-MVS_fast80.25 13379.55 13282.33 17591.55 11059.95 25591.32 17289.16 23365.23 25474.71 14093.07 10347.81 23795.74 13574.87 13488.23 10191.31 172
xiu_mvs_v1_base_debu82.16 10681.12 10885.26 10786.42 20768.72 5792.59 12190.44 18773.12 13984.20 5494.36 7338.04 28195.73 13684.12 6486.81 11191.33 168
xiu_mvs_v1_base82.16 10681.12 10885.26 10786.42 20768.72 5792.59 12190.44 18773.12 13984.20 5494.36 7338.04 28195.73 13684.12 6486.81 11191.33 168
xiu_mvs_v1_base_debi82.16 10681.12 10885.26 10786.42 20768.72 5792.59 12190.44 18773.12 13984.20 5494.36 7338.04 28195.73 13684.12 6486.81 11191.33 168
DP-MVS69.90 25566.48 26180.14 22495.36 2462.93 20989.56 21876.11 32250.27 32057.69 29085.23 20639.68 27195.73 13633.35 33071.05 22281.78 300
114514_t79.17 15277.67 15883.68 14695.32 2565.53 14592.85 11091.60 15363.49 26267.92 21790.63 14446.65 24395.72 14067.01 19283.54 13889.79 188
TR-MVS78.77 16177.37 16682.95 15890.49 13160.88 23893.67 7990.07 20170.08 21274.51 14191.37 13545.69 24995.70 14160.12 24580.32 15792.29 156
ETV-MVS86.01 4886.11 4485.70 9390.21 13767.02 10493.43 9091.92 13981.21 2984.13 5794.07 8660.93 11295.63 14289.28 2389.81 9194.46 94
tttt051779.50 14778.53 14682.41 17387.22 19861.43 23389.75 21794.76 2769.29 22067.91 21888.06 17772.92 2195.63 14262.91 22873.90 20290.16 184
thres20079.66 14478.33 14783.66 14892.54 8365.82 13893.06 9996.31 374.90 10873.30 15188.66 16459.67 12395.61 14447.84 28678.67 16989.56 193
HQP4-MVS74.18 14295.61 14488.63 200
BH-w/o80.49 13079.30 13784.05 13890.83 12864.36 17793.60 8289.42 22374.35 11369.09 19990.15 15255.23 17295.61 14464.61 21786.43 11892.17 159
HQP-MVS81.14 12080.64 11582.64 16687.54 19163.66 19594.06 5991.70 14979.80 4074.18 14290.30 14951.63 20695.61 14477.63 11378.90 16688.63 200
HQP_MVS80.34 13279.75 12682.12 18386.94 20262.42 21893.13 9791.31 16378.81 5872.53 16189.14 16250.66 21095.55 14876.74 11678.53 17188.39 206
plane_prior591.31 16395.55 14876.74 11678.53 17188.39 206
jason86.40 4286.17 4387.11 4186.16 21370.54 2495.71 2392.19 13182.00 2384.58 5094.34 7861.86 10595.53 15087.76 3790.89 8395.27 60
jason: jason.
RRT_test8_iter0580.61 12679.62 12883.60 14991.87 10266.90 10793.42 9293.68 6877.09 8068.83 20685.63 20466.82 5295.42 15176.46 12062.74 27588.48 203
BH-untuned78.68 16377.08 16783.48 15389.84 14363.74 19092.70 11488.59 25471.57 18966.83 23388.65 16551.75 20495.39 15259.03 25084.77 12791.32 171
MVS_111021_LR82.02 11081.52 10483.51 15188.42 17362.88 21389.77 21688.93 24376.78 8475.55 13593.10 9950.31 21395.38 15383.82 6887.02 11092.26 158
thres100view90078.37 16977.01 16982.46 16991.89 9963.21 20391.19 17996.33 172.28 15970.45 18487.89 17960.31 11695.32 15445.16 29577.58 17888.83 196
tfpn200view978.79 16077.43 16382.88 15992.21 9064.49 16792.05 13796.28 473.48 13371.75 17488.26 17260.07 11995.32 15445.16 29577.58 17888.83 196
thres40078.68 16377.43 16382.43 17092.21 9064.49 16792.05 13796.28 473.48 13371.75 17488.26 17260.07 11995.32 15445.16 29577.58 17887.48 215
OPM-MVS79.00 15478.09 15181.73 19183.52 25263.83 18791.64 15890.30 19476.36 8971.97 17189.93 15646.30 24795.17 15775.10 12777.70 17686.19 241
PAPM85.89 5085.46 5387.18 3988.20 18072.42 1292.41 12592.77 10682.11 2180.34 8693.07 10368.27 3595.02 15878.39 10893.59 4794.09 106
PMMVS81.98 11182.04 9981.78 19089.76 14556.17 28891.13 18190.69 18277.96 6880.09 8893.57 9446.33 24694.99 15981.41 8687.46 10794.17 101
CostFormer82.33 10381.15 10785.86 8589.01 16168.46 6282.39 28793.01 9875.59 9480.25 8781.57 24672.03 2794.96 16079.06 10377.48 18294.16 102
EPP-MVSNet81.79 11381.52 10482.61 16788.77 16660.21 25293.02 10393.66 7068.52 23172.90 15590.39 14772.19 2694.96 16074.93 13179.29 16492.67 146
ACMH63.93 1768.62 26364.81 27080.03 22785.22 22463.25 20187.72 24984.66 29560.83 28251.57 30979.43 27827.29 32394.96 16041.76 30864.84 26181.88 298
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
thres600view778.00 17376.66 17482.03 18891.93 9663.69 19391.30 17396.33 172.43 15470.46 18387.89 17960.31 11694.92 16342.64 30776.64 18987.48 215
baseline181.84 11281.03 11184.28 13491.60 10766.62 11591.08 18291.66 15181.87 2474.86 13991.67 13469.98 3294.92 16371.76 15364.75 26391.29 173
XXY-MVS77.94 17676.44 17782.43 17082.60 26064.44 17192.01 13991.83 14373.59 13170.00 19185.82 20154.43 18194.76 16569.63 16868.02 24188.10 210
Vis-MVSNetpermissive80.92 12479.98 12383.74 14288.48 17061.80 22693.44 8988.26 26373.96 12177.73 11191.76 13149.94 21794.76 16565.84 20690.37 8994.65 84
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
nrg03080.93 12379.86 12484.13 13683.69 24968.83 5493.23 9591.20 16775.55 9575.06 13888.22 17563.04 9794.74 16781.88 8166.88 24888.82 198
GA-MVS78.33 17076.23 18084.65 12483.65 25066.30 12491.44 16190.14 19976.01 9170.32 18684.02 21842.50 26394.72 16870.98 15777.00 18792.94 141
EI-MVSNet78.97 15578.22 15081.25 20185.33 22262.73 21689.53 22193.21 8772.39 15672.14 16890.13 15360.99 11094.72 16867.73 18672.49 21186.29 238
MVSTER82.47 10182.05 9883.74 14292.68 8169.01 5091.90 14493.21 8779.83 3972.14 16885.71 20374.72 1394.72 16875.72 12272.49 21187.50 214
PLCcopyleft68.80 1475.23 21573.68 21379.86 23292.93 7258.68 27090.64 19488.30 25960.90 28164.43 25290.53 14542.38 26494.57 17156.52 25776.54 19086.33 237
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
GG-mvs-BLEND86.53 6291.91 9869.67 4075.02 31894.75 2878.67 10790.85 14077.91 594.56 17272.25 14793.74 4395.36 50
OMC-MVS78.67 16577.91 15780.95 21285.76 22057.40 28188.49 23888.67 25173.85 12372.43 16592.10 12549.29 22394.55 17372.73 14277.89 17490.91 177
mvs-test178.74 16277.95 15581.14 20383.22 25457.13 28393.96 6487.78 26975.42 9772.68 15790.80 14145.08 25394.54 17475.08 12877.49 18191.74 163
Fast-Effi-MVS+81.14 12080.01 12184.51 12890.24 13665.86 13594.12 5689.15 23473.81 12575.37 13788.26 17257.26 14494.53 17566.97 19384.92 12593.15 134
diffmvs84.28 7183.83 6985.61 9587.40 19568.02 7490.88 18689.24 22880.54 3581.64 7292.52 11559.83 12194.52 17687.32 4285.11 12494.29 95
HyFIR lowres test81.03 12279.56 13085.43 10187.81 18868.11 7290.18 20690.01 20670.65 20772.95 15486.06 19963.61 8894.50 17775.01 13079.75 16093.67 120
v2v48277.42 18375.65 18882.73 16280.38 27767.13 10091.85 14790.23 19675.09 10569.37 19683.39 22553.79 18794.44 17871.77 15265.00 26086.63 234
v114476.73 19474.88 19382.27 17780.23 28266.60 11691.68 15690.21 19873.69 12869.06 20181.89 23952.73 19794.40 17969.21 17465.23 25785.80 252
TAPA-MVS70.22 1274.94 21973.53 21479.17 24690.40 13352.07 30789.19 22789.61 21862.69 26970.07 18992.67 11448.89 22994.32 18038.26 32179.97 15891.12 175
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
LPG-MVS_test75.82 20774.58 19879.56 24184.31 24159.37 26390.44 19789.73 21469.49 21764.86 24488.42 16738.65 27594.30 18172.56 14472.76 20885.01 265
LGP-MVS_train79.56 24184.31 24159.37 26389.73 21469.49 21764.86 24488.42 16738.65 27594.30 18172.56 14472.76 20885.01 265
v119275.98 20473.92 21082.15 18279.73 28466.24 12791.22 17689.75 21172.67 14868.49 21281.42 24949.86 21894.27 18367.08 19165.02 25985.95 249
tpmvs72.88 23769.76 24882.22 18090.98 12267.05 10278.22 31288.30 25963.10 26764.35 25374.98 30455.09 17594.27 18343.25 30169.57 22985.34 262
tpm279.80 14377.95 15585.34 10588.28 17668.26 6881.56 29291.42 16070.11 21177.59 11680.50 26467.40 4694.26 18567.34 18977.35 18393.51 124
PVSNet_068.08 1571.81 24468.32 25582.27 17784.68 23262.31 22288.68 23590.31 19375.84 9257.93 28980.65 26337.85 28494.19 18669.94 16629.05 34090.31 183
MVP-Stereo77.12 18876.23 18079.79 23481.72 26666.34 12389.29 22390.88 17870.56 20862.01 27082.88 22849.34 22294.13 18765.55 21193.80 4178.88 319
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
ACMM69.62 1374.34 22272.73 22279.17 24684.25 24357.87 27590.36 20189.93 20763.17 26665.64 23986.04 20037.79 28594.10 18865.89 20571.52 21885.55 258
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
V4276.46 19674.55 19982.19 18179.14 29467.82 7990.26 20489.42 22373.75 12668.63 21081.89 23951.31 20894.09 18971.69 15464.84 26184.66 268
TESTMET0.1,182.41 10281.98 10083.72 14588.08 18163.74 19092.70 11493.77 6379.30 4777.61 11587.57 18358.19 13794.08 19073.91 13586.68 11593.33 129
Anonymous2023121173.08 23270.39 24281.13 20490.62 13063.33 20091.40 16490.06 20451.84 31664.46 25180.67 26236.49 29594.07 19163.83 22264.17 26885.98 248
v875.35 21373.26 21781.61 19580.67 27466.82 10989.54 22089.27 22771.65 18363.30 26180.30 26854.99 17694.06 19267.33 19062.33 27983.94 273
EG-PatchMatch MVS68.55 26465.41 26777.96 25978.69 30062.93 20989.86 21589.17 23260.55 28350.27 31477.73 28822.60 33294.06 19247.18 28972.65 21076.88 326
PVSNet73.49 880.05 13778.63 14484.31 13290.92 12464.97 16092.47 12491.05 17479.18 5072.43 16590.51 14637.05 29394.06 19268.06 18286.00 11993.90 116
v1074.77 22072.54 22681.46 19780.33 28066.71 11389.15 22889.08 23870.94 20163.08 26279.86 27352.52 19894.04 19565.70 20862.17 28083.64 275
v14419276.05 20274.03 20882.12 18379.50 28866.55 11891.39 16689.71 21772.30 15868.17 21481.33 25151.75 20494.03 19667.94 18364.19 26785.77 253
tpm cat175.30 21472.21 22984.58 12688.52 16867.77 8078.16 31388.02 26661.88 27768.45 21376.37 29760.65 11394.03 19653.77 26874.11 19891.93 161
gg-mvs-nofinetune77.18 18774.31 20385.80 8791.42 11468.36 6471.78 32094.72 2949.61 32177.12 12145.92 33777.41 693.98 19867.62 18793.16 5295.05 70
PS-MVSNAJss77.26 18676.31 17980.13 22580.64 27559.16 26690.63 19691.06 17372.80 14668.58 21184.57 21453.55 18993.96 19972.97 13871.96 21587.27 222
OpenMVS_ROBcopyleft61.12 1866.39 27962.92 28476.80 27376.51 31357.77 27689.22 22583.41 30655.48 30953.86 30177.84 28726.28 32693.95 20034.90 32868.76 23578.68 321
MDTV_nov1_ep1372.61 22489.06 15968.48 6180.33 29890.11 20071.84 17771.81 17375.92 30153.01 19593.92 20148.04 28573.38 203
v192192075.63 21173.49 21582.06 18779.38 28966.35 12291.07 18489.48 22071.98 16867.99 21581.22 25449.16 22693.90 20266.56 19664.56 26685.92 251
v124075.21 21672.98 21981.88 18979.20 29166.00 13190.75 19189.11 23771.63 18767.41 22681.22 25447.36 24093.87 20365.46 21264.72 26485.77 253
ACMP71.68 1075.58 21274.23 20579.62 23984.97 23059.64 25890.80 18989.07 23970.39 20962.95 26387.30 18738.28 27893.87 20372.89 13971.45 21985.36 261
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
v14876.19 19774.47 20181.36 19980.05 28364.44 17191.75 15490.23 19673.68 12967.13 22980.84 25955.92 16893.86 20568.95 17761.73 28785.76 255
testing_271.09 24967.32 25982.40 17469.82 33166.52 11983.64 27490.77 18072.21 16245.12 32771.07 32027.60 32293.74 20675.71 12369.96 22586.95 226
LS3D69.17 26066.40 26277.50 26391.92 9756.12 28985.12 26680.37 31646.96 32756.50 29487.51 18437.25 28893.71 20732.52 33579.40 16182.68 292
EPMVS78.49 16875.98 18386.02 7891.21 11969.68 3980.23 30091.20 16775.25 10372.48 16378.11 28554.65 17893.69 20857.66 25583.04 13994.69 80
IS-MVSNet80.14 13579.41 13482.33 17587.91 18660.08 25491.97 14288.27 26172.90 14571.44 17891.73 13361.44 10793.66 20962.47 23286.53 11693.24 131
v7n71.31 24768.65 25179.28 24476.40 31460.77 24186.71 26189.45 22164.17 25858.77 28578.24 28344.59 25693.54 21057.76 25361.75 28683.52 278
VPA-MVSNet79.03 15378.00 15382.11 18685.95 21664.48 16993.22 9694.66 3275.05 10674.04 14784.95 20952.17 20193.52 21174.90 13367.04 24788.32 208
tfpnnormal70.10 25367.36 25778.32 25483.45 25360.97 23788.85 23292.77 10664.85 25560.83 27378.53 28143.52 26193.48 21231.73 33661.70 28880.52 309
旧先验292.00 14159.37 29387.54 2593.47 21375.39 125
1112_ss80.56 12879.83 12582.77 16188.65 16760.78 24092.29 12688.36 25872.58 15072.46 16494.95 5665.09 6993.42 21466.38 20077.71 17594.10 105
testdata81.34 20089.02 16057.72 27789.84 20958.65 29685.32 4694.09 8457.03 14893.28 21569.34 17290.56 8893.03 138
LTVRE_ROB59.60 1966.27 28063.54 28074.45 28584.00 24651.55 30967.08 33283.53 30458.78 29554.94 29680.31 26734.54 30193.23 21640.64 31468.03 24078.58 322
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
VPNet78.82 15877.53 16282.70 16384.52 23666.44 12093.93 6792.23 12580.46 3672.60 15988.38 16949.18 22493.13 21772.47 14663.97 27188.55 202
Test_1112_low_res79.56 14678.60 14582.43 17088.24 17960.39 24992.09 13487.99 26772.10 16771.84 17287.42 18564.62 7493.04 21865.80 20777.30 18493.85 118
PatchMatch-RL72.06 24369.98 24378.28 25589.51 15155.70 29183.49 27683.39 30761.24 28063.72 25782.76 22934.77 30093.03 21953.37 27077.59 17786.12 245
Fast-Effi-MVS+-dtu75.04 21773.37 21680.07 22680.86 27159.52 26191.20 17885.38 28971.90 17165.20 24284.84 21041.46 26692.97 22066.50 19972.96 20787.73 212
cl-mvsnet_76.07 19974.67 19480.28 22185.15 22561.76 22790.12 20788.73 24971.16 19765.43 24081.57 24661.15 10892.95 22166.54 19762.17 28086.13 244
pm-mvs172.89 23671.09 23878.26 25679.10 29557.62 27990.80 18989.30 22667.66 23662.91 26481.78 24149.11 22792.95 22160.29 24458.89 30284.22 271
TAMVS80.37 13179.45 13383.13 15785.14 22663.37 19991.23 17590.76 18174.81 10972.65 15888.49 16660.63 11492.95 22169.41 17181.95 14793.08 137
ACMH+65.35 1667.65 27264.55 27376.96 27184.59 23557.10 28488.08 24380.79 31458.59 29753.00 30381.09 25826.63 32592.95 22146.51 29061.69 28980.82 305
cl-mvsnet176.07 19974.67 19480.28 22185.14 22661.75 22890.12 20788.73 24971.16 19765.42 24181.60 24561.15 10892.94 22566.54 19762.16 28286.14 242
cl-mvsnet277.94 17676.78 17281.42 19887.57 19064.93 16290.67 19288.86 24672.45 15367.63 22382.68 23164.07 7992.91 22671.79 15165.30 25486.44 236
CDS-MVSNet81.43 11680.74 11383.52 15086.26 21164.45 17092.09 13490.65 18575.83 9373.95 14889.81 15763.97 8192.91 22671.27 15682.82 14193.20 133
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
miper_enhance_ethall78.86 15777.97 15481.54 19688.00 18565.17 15191.41 16289.15 23475.19 10468.79 20783.98 21967.17 4892.82 22872.73 14265.30 25486.62 235
eth_miper_zixun_eth75.96 20574.40 20280.66 21584.66 23363.02 20689.28 22488.27 26171.88 17365.73 23881.65 24359.45 12592.81 22968.13 18160.53 29686.14 242
CPTT-MVS79.59 14579.16 14080.89 21491.54 11159.80 25792.10 13388.54 25660.42 28472.96 15393.28 9848.27 23192.80 23078.89 10686.50 11790.06 185
PatchmatchNetpermissive77.46 18274.63 19685.96 8089.55 15070.35 2679.97 30489.55 21972.23 16170.94 17976.91 29657.03 14892.79 23154.27 26581.17 15394.74 79
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
jajsoiax73.05 23371.51 23677.67 26177.46 30954.83 29588.81 23390.04 20569.13 22462.85 26583.51 22331.16 31392.75 23270.83 15869.80 22685.43 260
mvs_tets72.71 24071.11 23777.52 26277.41 31054.52 29788.45 24089.76 21068.76 22962.70 26683.26 22629.49 31692.71 23370.51 16469.62 22885.34 262
tpmrst80.57 12779.14 14184.84 11890.10 13868.28 6781.70 29089.72 21677.63 7375.96 12979.54 27764.94 7292.71 23375.43 12477.28 18593.55 123
D2MVS73.80 22872.02 23179.15 24879.15 29362.97 20788.58 23790.07 20172.94 14259.22 28078.30 28242.31 26592.70 23565.59 21072.00 21481.79 299
test_post23.01 34456.49 16092.67 236
MVSFormer83.75 8582.88 8786.37 6989.24 15671.18 1789.07 23090.69 18265.80 24887.13 2694.34 7864.99 7092.67 23672.83 14091.80 7095.27 60
test_djsdf73.76 23072.56 22577.39 26677.00 31253.93 29989.07 23090.69 18265.80 24863.92 25482.03 23843.14 26292.67 23672.83 14068.53 23785.57 257
miper_ehance_all_eth77.60 18076.44 17781.09 20985.70 22164.41 17490.65 19388.64 25372.31 15767.37 22882.52 23264.77 7392.64 23970.67 16165.30 25486.24 240
cl_fuxian76.83 19275.47 18980.93 21385.02 22964.18 18390.39 20088.11 26471.66 18266.65 23581.64 24463.58 9092.56 24069.31 17362.86 27486.04 246
dp75.01 21872.09 23083.76 14189.28 15466.22 12879.96 30589.75 21171.16 19767.80 22177.19 29351.81 20392.54 24150.39 27671.44 22092.51 151
Effi-MVS+-dtu76.14 19875.28 19178.72 25183.22 25455.17 29489.87 21487.78 26975.42 9767.98 21681.43 24845.08 25392.52 24275.08 12871.63 21688.48 203
F-COLMAP70.66 25068.44 25377.32 26786.37 21055.91 29088.00 24486.32 27956.94 30357.28 29288.07 17633.58 30392.49 24351.02 27468.37 23883.55 276
USDC67.43 27664.51 27476.19 27677.94 30755.29 29378.38 31085.00 29273.17 13748.36 31980.37 26621.23 33492.48 24452.15 27264.02 27080.81 306
pmmvs667.57 27364.76 27176.00 27872.82 32453.37 30188.71 23486.78 27753.19 31357.58 29178.03 28635.33 29992.41 24555.56 26154.88 31382.21 296
test-LLR80.10 13679.56 13081.72 19286.93 20461.17 23492.70 11491.54 15471.51 19275.62 13286.94 19053.83 18592.38 24672.21 14884.76 12891.60 164
test-mter79.96 13979.38 13681.72 19286.93 20461.17 23492.70 11491.54 15473.85 12375.62 13286.94 19049.84 21992.38 24672.21 14884.76 12891.60 164
UniMVSNet (Re)77.58 18176.78 17279.98 22884.11 24460.80 23991.76 15293.17 9276.56 8769.93 19484.78 21163.32 9392.36 24864.89 21662.51 27886.78 229
ET-MVSNet_ETH3D84.01 7883.15 8486.58 5990.78 12970.89 2094.74 4594.62 3481.44 2758.19 28693.64 9273.64 1992.35 24982.66 7578.66 17096.50 19
mvs_anonymous81.36 11779.99 12285.46 9990.39 13468.40 6386.88 26090.61 18674.41 11170.31 18784.67 21263.79 8492.32 25073.13 13785.70 12095.67 41
IterMVS-LS76.49 19575.18 19280.43 21884.49 23762.74 21590.64 19488.80 24772.40 15565.16 24381.72 24260.98 11192.27 25167.74 18564.65 26586.29 238
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
FMVSNet377.73 17976.04 18282.80 16091.20 12068.99 5191.87 14591.99 13673.35 13567.04 23083.19 22756.62 15892.14 25259.80 24769.34 23087.28 221
UniMVSNet_NR-MVSNet78.15 17277.55 16179.98 22884.46 23860.26 25092.25 12793.20 8977.50 7568.88 20486.61 19266.10 5892.13 25366.38 20062.55 27687.54 213
DU-MVS76.86 18975.84 18579.91 23082.96 25860.26 25091.26 17491.54 15476.46 8868.88 20486.35 19456.16 16292.13 25366.38 20062.55 27687.35 219
tpm78.58 16677.03 16883.22 15585.94 21864.56 16583.21 28291.14 17078.31 6373.67 14979.68 27564.01 8092.09 25566.07 20471.26 22193.03 138
Baseline_NR-MVSNet73.99 22672.83 22077.48 26480.78 27259.29 26591.79 14984.55 29668.85 22668.99 20280.70 26056.16 16292.04 25662.67 23060.98 29381.11 302
FMVSNet276.07 19974.01 20982.26 17988.85 16267.66 8391.33 17191.61 15270.84 20365.98 23782.25 23548.03 23292.00 25758.46 25268.73 23687.10 223
TransMVSNet (Re)70.07 25467.66 25677.31 26880.62 27659.13 26791.78 15184.94 29365.97 24760.08 27680.44 26550.78 20991.87 25848.84 28245.46 32780.94 304
UniMVSNet_ETH3D72.74 23970.53 24179.36 24378.62 30256.64 28685.01 26789.20 23063.77 26164.84 24684.44 21534.05 30291.86 25963.94 22170.89 22389.57 192
NR-MVSNet76.05 20274.59 19780.44 21782.96 25862.18 22490.83 18891.73 14677.12 7960.96 27286.35 19459.28 12991.80 26060.74 24061.34 29187.35 219
FIs79.47 14879.41 13479.67 23785.95 21659.40 26291.68 15693.94 5878.06 6768.96 20388.28 17066.61 5591.77 26166.20 20374.99 19587.82 211
XVG-OURS74.25 22472.46 22779.63 23878.45 30357.59 28080.33 29887.39 27263.86 26068.76 20889.62 15940.50 26991.72 26269.00 17674.25 19789.58 191
test_040264.54 28761.09 29274.92 28284.10 24560.75 24287.95 24579.71 31852.03 31552.41 30577.20 29232.21 30991.64 26323.14 33961.03 29272.36 332
XVG-OURS-SEG-HR74.70 22173.08 21879.57 24078.25 30457.33 28280.49 29687.32 27363.22 26568.76 20890.12 15544.89 25591.59 26470.55 16374.09 19989.79 188
TranMVSNet+NR-MVSNet75.86 20674.52 20079.89 23182.44 26160.64 24691.37 16991.37 16276.63 8567.65 22286.21 19752.37 20091.55 26561.84 23560.81 29487.48 215
GBi-Net75.65 20973.83 21181.10 20688.85 16265.11 15490.01 21090.32 19070.84 20367.04 23080.25 26948.03 23291.54 26659.80 24769.34 23086.64 231
test175.65 20973.83 21181.10 20688.85 16265.11 15490.01 21090.32 19070.84 20367.04 23080.25 26948.03 23291.54 26659.80 24769.34 23086.64 231
FMVSNet172.71 24069.91 24681.10 20683.60 25165.11 15490.01 21090.32 19063.92 25963.56 25880.25 26936.35 29691.54 26654.46 26466.75 24986.64 231
pmmvs473.92 22771.81 23380.25 22379.17 29265.24 14987.43 25387.26 27567.64 23863.46 25983.91 22048.96 22891.53 26962.94 22765.49 25383.96 272
test_post178.95 30620.70 34753.05 19491.50 27060.43 242
anonymousdsp71.14 24869.37 24976.45 27472.95 32254.71 29684.19 27188.88 24461.92 27662.15 26979.77 27438.14 28091.44 27168.90 17867.45 24683.21 284
XVG-ACMP-BASELINE68.04 26965.53 26675.56 27974.06 32152.37 30578.43 30985.88 28662.03 27458.91 28481.21 25620.38 33591.15 27260.69 24168.18 23983.16 285
CNLPA74.31 22372.30 22880.32 21991.49 11361.66 22990.85 18780.72 31556.67 30563.85 25690.64 14246.75 24290.84 27353.79 26775.99 19388.47 205
ppachtmachnet_test67.72 27163.70 27979.77 23578.92 29666.04 13088.68 23582.90 31060.11 28855.45 29575.96 30039.19 27290.55 27439.53 31652.55 31882.71 291
pmmvs573.35 23171.52 23578.86 25078.64 30160.61 24791.08 18286.90 27667.69 23563.32 26083.64 22144.33 25790.53 27562.04 23466.02 25285.46 259
SixPastTwentyTwo64.92 28561.78 29174.34 28778.74 29949.76 31883.42 27979.51 31962.86 26850.27 31477.35 28930.92 31590.49 27645.89 29347.06 32582.78 287
COLMAP_ROBcopyleft57.96 2062.98 29559.65 29672.98 29681.44 26853.00 30383.75 27375.53 32648.34 32548.81 31881.40 25024.14 32890.30 27732.95 33260.52 29775.65 329
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
patchmatchnet-post67.62 32457.62 14290.25 278
SCA75.82 20772.76 22185.01 11386.63 20670.08 2881.06 29489.19 23171.60 18870.01 19077.09 29445.53 25090.25 27860.43 24273.27 20494.68 81
JIA-IIPM66.06 28162.45 28776.88 27281.42 26954.45 29857.49 34088.67 25149.36 32263.86 25546.86 33656.06 16590.25 27849.53 28068.83 23485.95 249
WR-MVS76.76 19375.74 18779.82 23384.60 23462.27 22392.60 11992.51 11876.06 9067.87 22085.34 20556.76 15490.24 28162.20 23363.69 27386.94 227
FC-MVSNet-test77.99 17478.08 15277.70 26084.89 23155.51 29290.27 20393.75 6676.87 8166.80 23487.59 18265.71 6490.23 28262.89 22973.94 20087.37 218
EPNet_dtu78.80 15979.26 13877.43 26588.06 18249.71 31991.96 14391.95 13877.67 7276.56 12691.28 13658.51 13590.20 28356.37 25880.95 15592.39 152
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CMPMVSbinary48.56 2166.77 27864.41 27673.84 29070.65 32950.31 31677.79 31485.73 28845.54 33044.76 32882.14 23735.40 29890.14 28463.18 22674.54 19681.07 303
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
Vis-MVSNet (Re-imp)79.24 15179.57 12978.24 25788.46 17152.29 30690.41 19989.12 23674.24 11569.13 19891.91 12865.77 6390.09 28559.00 25188.09 10392.33 154
lessismore_v073.72 29172.93 32347.83 32561.72 34545.86 32473.76 30728.63 32089.81 28647.75 28831.37 33983.53 277
MVS-HIRNet60.25 30055.55 30574.35 28684.37 24056.57 28771.64 32174.11 32834.44 33845.54 32642.24 34031.11 31489.81 28640.36 31576.10 19276.67 327
our_test_368.29 26764.69 27279.11 24978.92 29664.85 16388.40 24185.06 29160.32 28652.68 30476.12 29940.81 26889.80 28844.25 30055.65 30982.67 293
CR-MVSNet73.79 22970.82 24082.70 16383.15 25667.96 7570.25 32284.00 30173.67 13069.97 19272.41 31257.82 14089.48 28952.99 27173.13 20590.64 180
RPMNet69.58 25765.21 26982.70 16383.15 25667.96 7570.25 32286.15 28346.83 32969.97 19265.10 32856.48 16189.48 28935.79 32673.13 20590.64 180
Patchmtry67.53 27463.93 27878.34 25382.12 26364.38 17568.72 32684.00 30148.23 32659.24 27972.41 31257.82 14089.27 29146.10 29256.68 30881.36 301
ADS-MVSNet68.54 26564.38 27781.03 21088.06 18266.90 10768.01 32984.02 30057.57 29864.48 24969.87 32138.68 27389.21 29240.87 31267.89 24286.97 224
RRT_MVS77.38 18476.59 17579.77 23590.91 12563.61 19791.15 18090.91 17772.28 15972.06 17087.28 18843.92 25889.04 29373.32 13667.47 24586.67 230
Patchmatch-RL test68.17 26864.49 27579.19 24571.22 32653.93 29970.07 32471.54 33469.22 22156.79 29362.89 33056.58 15988.61 29469.53 17052.61 31795.03 73
UnsupCasMVSNet_bld61.60 29757.71 29973.29 29468.73 33451.64 30878.61 30889.05 24057.20 30146.11 32161.96 33128.70 31988.60 29550.08 27838.90 33579.63 315
OurMVSNet-221017-064.68 28662.17 28972.21 30376.08 31747.35 32780.67 29581.02 31356.19 30651.60 30879.66 27627.05 32488.56 29653.60 26953.63 31680.71 307
PatchT69.11 26165.37 26880.32 21982.07 26463.68 19467.96 33187.62 27150.86 31969.37 19665.18 32757.09 14688.53 29741.59 31066.60 25088.74 199
TinyColmap60.32 29956.42 30472.00 30678.78 29853.18 30278.36 31175.64 32452.30 31441.59 33475.82 30214.76 34188.35 29835.84 32454.71 31474.46 330
LCM-MVSNet-Re72.93 23571.84 23276.18 27788.49 16948.02 32380.07 30370.17 33573.96 12152.25 30680.09 27249.98 21688.24 29967.35 18884.23 13692.28 157
ambc69.61 31061.38 34041.35 33549.07 34385.86 28750.18 31666.40 32510.16 34488.14 30045.73 29444.20 32879.32 318
MVS_030468.99 26267.23 26074.28 28880.36 27852.54 30487.01 25886.36 27859.89 29066.22 23673.56 30824.25 32788.03 30157.34 25670.11 22482.27 295
Patchmatch-test65.86 28260.94 29380.62 21683.75 24858.83 26858.91 33975.26 32744.50 33350.95 31377.09 29458.81 13487.90 30235.13 32764.03 26995.12 67
MIMVSNet71.64 24568.44 25381.23 20281.97 26564.44 17173.05 31988.80 24769.67 21664.59 24774.79 30532.79 30587.82 30353.99 26676.35 19191.42 167
K. test v363.09 29459.61 29773.53 29276.26 31549.38 32183.27 28077.15 32164.35 25747.77 32072.32 31428.73 31887.79 30449.93 27936.69 33783.41 281
miper_lstm_enhance73.05 23371.73 23477.03 27083.80 24758.32 27281.76 28888.88 24469.80 21561.01 27178.23 28457.19 14587.51 30565.34 21359.53 29985.27 264
UnsupCasMVSNet_eth65.79 28363.10 28273.88 28970.71 32850.29 31781.09 29389.88 20872.58 15049.25 31774.77 30632.57 30787.43 30655.96 26041.04 33383.90 274
Anonymous2023120667.53 27465.78 26372.79 29874.95 31847.59 32688.23 24287.32 27361.75 27958.07 28877.29 29137.79 28587.29 30742.91 30363.71 27283.48 279
pmmvs-eth3d65.53 28462.32 28875.19 28069.39 33359.59 25982.80 28583.43 30562.52 27151.30 31172.49 31032.86 30487.16 30855.32 26250.73 32178.83 320
IterMVS72.65 24270.83 23978.09 25882.17 26262.96 20887.64 25186.28 28071.56 19060.44 27478.85 28045.42 25286.66 30963.30 22561.83 28484.65 269
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
AllTest61.66 29658.06 29872.46 30079.57 28551.42 31180.17 30168.61 33751.25 31745.88 32281.23 25219.86 33686.58 31038.98 31857.01 30679.39 316
TestCases72.46 30079.57 28551.42 31168.61 33751.25 31745.88 32281.23 25219.86 33686.58 31038.98 31857.01 30679.39 316
MDA-MVSNet-bldmvs61.54 29857.70 30073.05 29579.53 28757.00 28583.08 28381.23 31257.57 29834.91 33872.45 31132.79 30586.26 31235.81 32541.95 33175.89 328
FMVSNet568.04 26965.66 26575.18 28184.43 23957.89 27483.54 27586.26 28161.83 27853.64 30273.30 30937.15 29185.08 31348.99 28161.77 28582.56 294
test0.0.03 172.76 23872.71 22372.88 29780.25 28147.99 32491.22 17689.45 22171.51 19262.51 26887.66 18153.83 18585.06 31450.16 27767.84 24485.58 256
testgi64.48 28862.87 28569.31 31171.24 32540.62 33785.49 26579.92 31765.36 25254.18 29983.49 22423.74 33084.55 31541.60 30960.79 29582.77 288
ADS-MVSNet266.90 27763.44 28177.26 26988.06 18260.70 24468.01 32975.56 32557.57 29864.48 24969.87 32138.68 27384.10 31640.87 31267.89 24286.97 224
CVMVSNet74.04 22574.27 20473.33 29385.33 22243.94 33389.53 22188.39 25754.33 31170.37 18590.13 15349.17 22584.05 31761.83 23679.36 16291.99 160
ITE_SJBPF70.43 30974.44 31947.06 32877.32 32060.16 28754.04 30083.53 22223.30 33184.01 31843.07 30261.58 29080.21 313
CHOSEN 280x42077.35 18576.95 17178.55 25287.07 20162.68 21769.71 32582.95 30968.80 22771.48 17787.27 18966.03 5984.00 31976.47 11982.81 14288.95 195
DTE-MVSNet68.46 26667.33 25871.87 30777.94 30749.00 32286.16 26488.58 25566.36 24558.19 28682.21 23646.36 24583.87 32044.97 29855.17 31182.73 289
IterMVS-SCA-FT71.55 24669.97 24476.32 27581.48 26760.67 24587.64 25185.99 28566.17 24659.50 27878.88 27945.53 25083.65 32162.58 23161.93 28384.63 270
PEN-MVS69.46 25968.56 25272.17 30479.27 29049.71 31986.90 25989.24 22867.24 24159.08 28282.51 23347.23 24183.54 32248.42 28457.12 30483.25 283
WR-MVS_H70.59 25169.94 24572.53 29981.03 27051.43 31087.35 25492.03 13567.38 23960.23 27580.70 26055.84 16983.45 32346.33 29158.58 30382.72 290
YYNet163.76 29360.14 29574.62 28478.06 30660.19 25383.46 27883.99 30356.18 30739.25 33571.56 31937.18 29083.34 32442.90 30448.70 32480.32 311
PM-MVS59.40 30256.59 30267.84 31363.63 33641.86 33476.76 31563.22 34359.01 29451.07 31272.27 31511.72 34383.25 32561.34 23750.28 32278.39 323
MDA-MVSNet_test_wron63.78 29260.16 29474.64 28378.15 30560.41 24883.49 27684.03 29956.17 30839.17 33671.59 31837.22 28983.24 32642.87 30548.73 32380.26 312
N_pmnet50.55 30849.11 31054.88 32377.17 3114.02 35484.36 2702.00 35448.59 32345.86 32468.82 32332.22 30882.80 32731.58 33751.38 32077.81 324
test20.0363.83 29162.65 28667.38 31670.58 33039.94 33886.57 26284.17 29863.29 26451.86 30777.30 29037.09 29282.47 32838.87 32054.13 31579.73 314
TDRefinement55.28 30651.58 30866.39 31859.53 34146.15 32976.23 31672.80 33044.60 33242.49 33376.28 29815.29 33982.39 32933.20 33143.75 32970.62 334
CP-MVSNet70.50 25269.91 24672.26 30280.71 27351.00 31387.23 25590.30 19467.84 23359.64 27782.69 23050.23 21582.30 33051.28 27359.28 30083.46 280
PS-CasMVS69.86 25669.13 25072.07 30580.35 27950.57 31587.02 25789.75 21167.27 24059.19 28182.28 23446.58 24482.24 33150.69 27559.02 30183.39 282
RPSCF64.24 28961.98 29071.01 30876.10 31645.00 33075.83 31775.94 32346.94 32858.96 28384.59 21331.40 31282.00 33247.76 28760.33 29886.04 246
new-patchmatchnet59.30 30356.48 30367.79 31465.86 33544.19 33182.47 28681.77 31159.94 28943.65 33266.20 32627.67 32181.68 33339.34 31741.40 33277.50 325
MIMVSNet160.16 30157.33 30168.67 31269.71 33244.13 33278.92 30784.21 29755.05 31044.63 32971.85 31623.91 32981.54 33432.63 33455.03 31280.35 310
EU-MVSNet64.01 29063.01 28367.02 31774.40 32038.86 34183.27 28086.19 28245.11 33154.27 29881.15 25736.91 29480.01 33548.79 28357.02 30582.19 297
pmmvs355.51 30551.50 30967.53 31557.90 34250.93 31480.37 29773.66 32940.63 33644.15 33164.75 32916.30 33878.97 33644.77 29940.98 33472.69 331
DSMNet-mixed56.78 30454.44 30663.79 31963.21 33729.44 34564.43 33464.10 34242.12 33551.32 31071.60 31731.76 31075.04 33736.23 32365.20 25886.87 228
new_pmnet49.31 30946.44 31157.93 32162.84 33840.74 33668.47 32862.96 34436.48 33735.09 33757.81 33314.97 34072.18 33832.86 33346.44 32660.88 338
Gipumacopyleft34.91 31431.44 31645.30 32770.99 32739.64 34019.85 34772.56 33120.10 34416.16 34521.47 3465.08 35071.16 33913.07 34343.70 33025.08 343
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
LF4IMVS54.01 30752.12 30759.69 32062.41 33939.91 33968.59 32768.28 33942.96 33444.55 33075.18 30314.09 34268.39 34041.36 31151.68 31970.78 333
PMVScopyleft26.43 2231.84 31528.16 31742.89 32825.87 35227.58 34650.92 34249.78 34721.37 34314.17 34640.81 3422.01 35366.62 3419.61 34538.88 33634.49 342
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
LCM-MVSNet40.54 31135.79 31354.76 32436.92 34930.81 34451.41 34169.02 33622.07 34224.63 34045.37 3384.56 35165.81 34233.67 32934.50 33867.67 335
PMMVS237.93 31333.61 31550.92 32646.31 34624.76 34860.55 33850.05 34628.94 34120.93 34147.59 3354.41 35265.13 34325.14 33818.55 34262.87 337
FPMVS45.64 31043.10 31253.23 32551.42 34436.46 34264.97 33371.91 33229.13 34027.53 33961.55 3329.83 34565.01 34416.00 34255.58 31058.22 339
ANet_high40.27 31235.20 31455.47 32234.74 35034.47 34363.84 33571.56 33348.42 32418.80 34341.08 3419.52 34664.45 34520.18 3408.66 34767.49 336
MVEpermissive24.84 2324.35 31719.77 32238.09 32934.56 35126.92 34726.57 34538.87 35011.73 34711.37 34727.44 3431.37 35450.42 34611.41 34414.60 34336.93 340
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN24.61 31624.00 31926.45 33143.74 34718.44 35160.86 33639.66 34815.11 3459.53 34822.10 3456.52 34846.94 3478.31 34610.14 34413.98 345
EMVS23.76 31823.20 32125.46 33241.52 34816.90 35260.56 33738.79 35114.62 3468.99 34920.24 3487.35 34745.82 3487.25 3479.46 34513.64 346
DeepMVS_CXcopyleft34.71 33051.45 34324.73 34928.48 35331.46 33917.49 34452.75 3345.80 34942.60 34918.18 34119.42 34136.81 341
tmp_tt22.26 31923.75 32017.80 3335.23 35312.06 35335.26 34439.48 3492.82 34918.94 34244.20 33922.23 33324.64 35036.30 3229.31 34616.69 344
wuyk23d11.30 32110.95 32312.33 33448.05 34519.89 35025.89 3461.92 3553.58 3483.12 3501.37 3500.64 35515.77 3516.23 3487.77 3481.35 347
testmvs7.23 3239.62 3250.06 3360.04 3540.02 35684.98 2680.02 3560.03 3500.18 3511.21 3510.01 3570.02 3520.14 3490.01 3490.13 349
test1236.92 3249.21 3260.08 3350.03 3550.05 35581.65 2910.01 3570.02 3510.14 3520.85 3520.03 3560.02 3520.12 3500.00 3500.16 348
uanet_test0.00 3260.00 3280.00 3370.00 3560.00 3570.00 3480.00 3580.00 3520.00 3530.00 3530.00 3580.00 3540.00 3510.00 3500.00 350
test_part10.00 3370.00 3570.00 34894.26 510.00 3580.00 3540.00 3510.00 3500.00 350
cdsmvs_eth3d_5k19.86 32026.47 3180.00 3370.00 3560.00 3570.00 34893.45 780.00 3520.00 35395.27 4749.56 2200.00 3540.00 3510.00 3500.00 350
pcd_1.5k_mvsjas4.46 3255.95 3270.00 3370.00 3560.00 3570.00 3480.00 3580.00 3520.00 3530.00 35353.55 1890.00 3540.00 3510.00 3500.00 350
sosnet-low-res0.00 3260.00 3280.00 3370.00 3560.00 3570.00 3480.00 3580.00 3520.00 3530.00 3530.00 3580.00 3540.00 3510.00 3500.00 350
sosnet0.00 3260.00 3280.00 3370.00 3560.00 3570.00 3480.00 3580.00 3520.00 3530.00 3530.00 3580.00 3540.00 3510.00 3500.00 350
uncertanet0.00 3260.00 3280.00 3370.00 3560.00 3570.00 3480.00 3580.00 3520.00 3530.00 3530.00 3580.00 3540.00 3510.00 3500.00 350
Regformer0.00 3260.00 3280.00 3370.00 3560.00 3570.00 3480.00 3580.00 3520.00 3530.00 3530.00 3580.00 3540.00 3510.00 3500.00 350
ab-mvs-re7.91 32210.55 3240.00 3370.00 3560.00 3570.00 3480.00 3580.00 3520.00 35394.95 560.00 3580.00 3540.00 3510.00 3500.00 350
uanet0.00 3260.00 3280.00 3370.00 3560.00 3570.00 3480.00 3580.00 3520.00 3530.00 3530.00 3580.00 3540.00 3510.00 3500.00 350
IU-MVS96.46 969.91 3495.18 1380.75 3395.28 192.34 695.36 1296.47 20
save fliter93.84 4867.89 7795.05 3892.66 11178.19 64
test072696.40 1369.99 3096.76 694.33 4871.92 16991.89 697.11 773.77 17
GSMVS94.68 81
test_part296.29 1668.16 7190.78 10
sam_mvs157.85 13994.68 81
sam_mvs54.91 177
MTGPAbinary92.23 125
MTMP93.77 7732.52 352
test9_res89.41 2094.96 1695.29 56
agg_prior286.41 4894.75 2695.33 51
test_prior467.18 9993.92 68
test_prior295.10 3675.40 9985.25 4795.61 3767.94 4087.47 3894.77 23
新几何291.41 162
旧先验191.94 9560.74 24391.50 15794.36 7365.23 6791.84 6994.55 86
原ACMM292.01 139
test22289.77 14461.60 23089.55 21989.42 22356.83 30477.28 11992.43 12052.76 19691.14 8293.09 136
segment_acmp65.94 60
testdata189.21 22677.55 74
plane_prior786.94 20261.51 231
plane_prior687.23 19762.32 22150.66 210
plane_prior489.14 162
plane_prior361.95 22579.09 5372.53 161
plane_prior293.13 9778.81 58
plane_prior187.15 199
plane_prior62.42 21893.85 7279.38 4678.80 168
n20.00 358
nn0.00 358
door-mid66.01 341
test1193.01 98
door66.57 340
HQP5-MVS63.66 195
HQP-NCC87.54 19194.06 5979.80 4074.18 142
ACMP_Plane87.54 19194.06 5979.80 4074.18 142
BP-MVS77.63 113
HQP3-MVS91.70 14978.90 166
HQP2-MVS51.63 206
NP-MVS87.41 19463.04 20590.30 149
MDTV_nov1_ep13_2view59.90 25680.13 30267.65 23772.79 15654.33 18259.83 24692.58 149
ACMMP++_ref71.63 216
ACMMP++69.72 227
Test By Simon54.21 183