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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MSP-MVS90.38 491.87 185.88 8592.83 8364.03 19093.06 10594.33 5182.19 2193.65 396.15 3085.89 197.19 8491.02 2097.75 196.43 26
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
MCST-MVS91.08 191.46 289.94 497.66 273.37 997.13 295.58 889.33 185.77 4496.26 2772.84 2799.38 192.64 695.93 1097.08 9
DeepPCF-MVS81.17 189.72 991.38 384.72 12793.00 8158.16 29296.72 794.41 4586.50 690.25 1897.83 175.46 1498.67 2392.78 595.49 1397.32 6
DVP-MVS++90.53 391.09 488.87 1497.31 469.91 3793.96 6994.37 4972.48 16592.07 696.85 1283.82 299.15 291.53 1697.42 497.55 4
patch_mono-289.71 1090.99 585.85 8896.04 2663.70 19895.04 4195.19 1386.74 591.53 1195.15 5973.86 2197.58 6393.38 392.00 7596.28 32
CNVR-MVS90.32 590.89 688.61 1996.76 1070.65 2696.47 1294.83 2684.83 989.07 2396.80 1570.86 3599.06 1592.64 695.71 1196.12 35
DPM-MVS90.70 290.52 791.24 189.68 15876.68 297.29 195.35 1082.87 1591.58 1097.22 479.93 599.10 983.12 8297.64 297.94 1
ETH3 D test640090.27 690.44 889.75 696.82 974.33 795.89 1694.80 2977.13 8989.13 2297.38 274.49 1898.48 2892.32 1195.98 896.46 25
SED-MVS89.94 890.36 988.70 1696.45 1469.38 4796.89 494.44 4371.65 19592.11 497.21 576.79 999.11 692.34 895.36 1497.62 2
DELS-MVS90.05 790.09 1089.94 493.14 7873.88 897.01 394.40 4788.32 285.71 4694.91 6974.11 2098.91 1787.26 5195.94 997.03 10
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
CANet89.61 1189.99 1188.46 2094.39 4469.71 4396.53 1193.78 6486.89 489.68 1995.78 3465.94 6499.10 992.99 493.91 4496.58 17
HPM-MVS++copyleft89.37 1389.95 1287.64 2995.10 3468.23 7695.24 3294.49 4182.43 1988.90 2496.35 2471.89 3498.63 2488.76 3696.40 696.06 36
DVP-MVScopyleft89.41 1289.73 1388.45 2196.40 1769.99 3396.64 894.52 3971.92 18190.55 1696.93 1073.77 2299.08 1191.91 1494.90 2196.29 30
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
NCCC89.07 1489.46 1487.91 2496.60 1269.05 5596.38 1394.64 3684.42 1086.74 3496.20 2866.56 6098.76 2289.03 3494.56 3395.92 41
DPE-MVScopyleft88.77 1589.21 1587.45 3696.26 2267.56 9294.17 5594.15 5768.77 24590.74 1497.27 376.09 1298.49 2790.58 2394.91 2096.30 29
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
TSAR-MVS + MP.88.11 1888.64 1686.54 6491.73 11868.04 8090.36 21693.55 7782.89 1491.29 1292.89 12072.27 3196.03 13387.99 4094.77 2595.54 51
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
EPNet87.84 2288.38 1786.23 7793.30 7166.05 13395.26 3194.84 2587.09 388.06 2694.53 7766.79 5797.34 7583.89 7891.68 8095.29 62
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TSAR-MVS + GP.87.96 1988.37 1886.70 5893.51 6765.32 15295.15 3593.84 6378.17 7385.93 4394.80 7275.80 1398.21 3589.38 2788.78 10896.59 15
SMA-MVScopyleft88.14 1688.29 1987.67 2893.21 7568.72 6393.85 7994.03 6074.18 12791.74 996.67 1665.61 6998.42 3289.24 3096.08 795.88 43
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
DeepC-MVS_fast79.48 287.95 2088.00 2087.79 2795.86 2968.32 7195.74 2094.11 5983.82 1283.49 6996.19 2964.53 8198.44 3083.42 8194.88 2496.61 14
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ETH3D-3000-0.187.61 2487.89 2186.75 5593.58 6467.21 10394.31 5394.14 5872.92 15687.13 3096.62 1767.81 4997.94 4390.13 2494.42 3695.09 74
APDe-MVS87.54 2587.84 2286.65 5996.07 2566.30 12994.84 4693.78 6469.35 23688.39 2596.34 2567.74 5097.66 5890.62 2293.44 5396.01 39
lupinMVS87.74 2387.77 2387.63 3389.24 17071.18 2196.57 1092.90 10782.70 1887.13 3095.27 5264.99 7495.80 13889.34 2891.80 7895.93 40
test_prior387.38 2787.70 2486.42 6994.71 3967.35 9995.10 3793.10 10075.40 11085.25 5495.61 4067.94 4596.84 10787.47 4694.77 2595.05 76
9.1487.63 2593.86 5594.41 5194.18 5572.76 15986.21 3896.51 1966.64 5897.88 4990.08 2594.04 41
PS-MVSNAJ88.14 1687.61 2689.71 792.06 10476.72 195.75 1993.26 9083.86 1189.55 2096.06 3153.55 20597.89 4891.10 1893.31 5594.54 96
Regformer-187.24 3087.60 2786.15 7995.14 3265.83 14193.95 7295.12 1682.11 2284.25 6195.73 3667.88 4898.35 3385.60 6388.64 11194.26 105
dcpmvs_287.37 2887.55 2886.85 4995.04 3668.20 7790.36 21690.66 19579.37 5281.20 8693.67 10274.73 1596.55 11890.88 2192.00 7595.82 44
SD-MVS87.49 2687.49 2987.50 3593.60 6368.82 6193.90 7692.63 11876.86 9287.90 2795.76 3566.17 6197.63 6089.06 3291.48 8496.05 37
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
Regformer-287.00 3787.43 3085.71 9595.14 3264.73 16993.95 7294.95 2381.69 2784.03 6695.73 3667.35 5298.19 3785.40 6588.64 11194.20 107
train_agg87.21 3187.42 3186.60 6094.18 4667.28 10194.16 5693.51 7871.87 18685.52 4895.33 4768.19 4197.27 8289.09 3194.90 2195.25 69
xiu_mvs_v2_base87.92 2187.38 3289.55 1291.41 12976.43 395.74 2093.12 9983.53 1389.55 2095.95 3253.45 20997.68 5491.07 1992.62 6494.54 96
agg_prior187.02 3687.26 3386.28 7694.16 5066.97 11294.08 6393.31 8871.85 18884.49 5995.39 4568.91 3896.75 11188.84 3594.32 3895.13 72
xxxxxxxxxxxxxcwj87.14 3287.19 3486.99 4793.84 5667.89 8495.05 3984.72 31578.19 7186.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 64
ETH3D cwj APD-0.1687.06 3487.18 3586.71 5691.99 10967.48 9792.97 11094.21 5471.48 20685.72 4596.32 2668.13 4398.00 4289.06 3294.70 3194.65 92
SF-MVS87.03 3587.09 3686.84 5092.70 8967.45 9893.64 8793.76 6770.78 21986.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 64
CS-MVS-test86.14 4987.01 3783.52 15992.63 9259.36 27995.49 2691.92 14280.09 4285.46 5095.53 4361.82 11395.77 14186.77 5693.37 5495.41 53
alignmvs87.28 2986.97 3888.24 2391.30 13071.14 2395.61 2493.56 7679.30 5387.07 3395.25 5468.43 3996.93 10587.87 4184.33 14896.65 13
SteuartSystems-ACMMP86.82 4186.90 3986.58 6290.42 14466.38 12696.09 1593.87 6277.73 8084.01 6795.66 3863.39 9797.94 4387.40 4893.55 5295.42 52
Skip Steuart: Steuart Systems R&D Blog.
PVSNet_Blended86.73 4286.86 4086.31 7593.76 5867.53 9496.33 1493.61 7482.34 2081.00 9193.08 11263.19 10097.29 7887.08 5291.38 8694.13 113
PHI-MVS86.83 4086.85 4186.78 5493.47 6865.55 14895.39 2995.10 1871.77 19285.69 4796.52 1862.07 10998.77 2186.06 6195.60 1296.03 38
testtj86.62 4386.66 4286.50 6696.95 865.70 14394.41 5193.45 8267.74 25286.19 3996.39 2364.38 8297.91 4687.33 4993.14 5895.90 42
CS-MVS85.80 5486.65 4383.27 16792.00 10858.92 28495.31 3091.86 14679.97 4384.82 5695.40 4462.26 10795.51 16086.11 6092.08 7495.37 56
MG-MVS87.11 3386.27 4489.62 897.79 176.27 494.96 4494.49 4178.74 6783.87 6892.94 11764.34 8396.94 10375.19 14194.09 4095.66 47
CSCG86.87 3886.26 4588.72 1595.05 3570.79 2593.83 8395.33 1168.48 24977.63 12894.35 8673.04 2598.45 2984.92 7093.71 4996.92 11
canonicalmvs86.85 3986.25 4688.66 1891.80 11771.92 1593.54 9291.71 15480.26 4187.55 2895.25 5463.59 9596.93 10588.18 3984.34 14797.11 8
jason86.40 4486.17 4787.11 4386.16 23370.54 2895.71 2392.19 13482.00 2484.58 5894.34 8761.86 11195.53 15987.76 4290.89 9295.27 66
jason: jason.
ETV-MVS86.01 5186.11 4885.70 9690.21 14967.02 11193.43 9791.92 14281.21 3284.13 6594.07 9660.93 12095.63 14989.28 2989.81 10094.46 103
APD-MVScopyleft85.93 5285.99 4985.76 9295.98 2865.21 15593.59 9092.58 12066.54 26386.17 4095.88 3363.83 8997.00 9586.39 5892.94 6095.06 75
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
Regformer-385.80 5485.92 5085.46 10294.17 4865.09 16292.95 11295.11 1781.13 3381.68 8195.04 6065.82 6698.32 3483.02 8384.36 14592.97 152
MSLP-MVS++86.27 4685.91 5187.35 3892.01 10768.97 5895.04 4192.70 11279.04 6181.50 8396.50 2058.98 14496.78 10983.49 8093.93 4396.29 30
WTY-MVS86.32 4585.81 5287.85 2592.82 8569.37 4995.20 3395.25 1282.71 1781.91 7994.73 7367.93 4797.63 6079.55 11182.25 15996.54 18
ACMMP_NAP86.05 5085.80 5386.80 5391.58 12267.53 9491.79 16193.49 8174.93 11884.61 5795.30 4959.42 13797.92 4586.13 5994.92 1994.94 81
MVS_111021_HR86.19 4885.80 5387.37 3793.17 7769.79 4093.99 6893.76 6779.08 6078.88 11793.99 9762.25 10898.15 3885.93 6291.15 9094.15 112
Regformer-485.45 5885.69 5584.73 12594.17 4863.23 20792.95 11294.83 2680.66 3881.29 8495.04 6065.12 7298.08 4082.74 8584.36 14592.88 156
VNet86.20 4785.65 5687.84 2693.92 5469.99 3395.73 2295.94 678.43 6986.00 4293.07 11458.22 14897.00 9585.22 6784.33 14896.52 19
CDPH-MVS85.71 5685.46 5786.46 6794.75 3867.19 10493.89 7792.83 10970.90 21583.09 7295.28 5063.62 9397.36 7380.63 10594.18 3994.84 85
PAPM85.89 5385.46 5787.18 4188.20 19772.42 1492.41 13592.77 11082.11 2280.34 9793.07 11468.27 4095.02 17278.39 12493.59 5194.09 115
DeepC-MVS77.85 385.52 5785.24 5986.37 7288.80 18066.64 12092.15 14193.68 7281.07 3476.91 13893.64 10362.59 10598.44 3085.50 6492.84 6294.03 119
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MP-MVS-pluss85.24 6185.13 6085.56 9991.42 12765.59 14791.54 17392.51 12274.56 12180.62 9495.64 3959.15 14197.00 9586.94 5493.80 4594.07 117
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ZNCC-MVS85.33 6085.08 6186.06 8093.09 8065.65 14593.89 7793.41 8673.75 13879.94 10194.68 7560.61 12398.03 4182.63 8893.72 4894.52 98
DROMVSNet84.53 7285.04 6283.01 17189.34 16561.37 24494.42 5091.09 18177.91 7783.24 7094.20 9258.37 14795.40 16185.35 6691.41 8592.27 172
MP-MVScopyleft85.02 6384.97 6385.17 11392.60 9364.27 18693.24 10092.27 12773.13 15079.63 10694.43 8061.90 11097.17 8585.00 6892.56 6594.06 118
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
EIA-MVS84.84 6784.88 6484.69 12891.30 13062.36 22693.85 7992.04 13779.45 5079.33 10994.28 9062.42 10696.35 12180.05 10891.25 8995.38 55
casdiffmvs85.37 5984.87 6586.84 5088.25 19569.07 5493.04 10791.76 15181.27 3180.84 9392.07 13864.23 8496.06 13184.98 6987.43 12195.39 54
#test#84.98 6584.74 6685.72 9393.75 6065.01 16394.09 6293.19 9473.55 14479.22 11094.93 6659.04 14297.67 5582.66 8692.21 6994.49 101
zzz-MVS84.73 6884.47 6785.50 10091.89 11465.16 15791.55 17292.23 12875.32 11280.53 9595.21 5656.06 17797.16 8684.86 7192.55 6694.18 108
PAPR85.15 6284.47 6787.18 4196.02 2768.29 7291.85 15993.00 10476.59 9779.03 11395.00 6261.59 11497.61 6278.16 12589.00 10795.63 48
baseline85.01 6484.44 6986.71 5688.33 19268.73 6290.24 22191.82 15081.05 3581.18 8792.50 12763.69 9296.08 13084.45 7386.71 12995.32 60
HFP-MVS84.73 6884.40 7085.72 9393.75 6065.01 16393.50 9493.19 9472.19 17579.22 11094.93 6659.04 14297.67 5581.55 9692.21 6994.49 101
GST-MVS84.63 7184.29 7185.66 9792.82 8565.27 15393.04 10793.13 9873.20 14878.89 11494.18 9359.41 13897.85 5081.45 9892.48 6893.86 127
ACMMPR84.37 7384.06 7285.28 10993.56 6564.37 18193.50 9493.15 9772.19 17578.85 11994.86 7056.69 16997.45 6781.55 9692.20 7194.02 120
region2R84.36 7484.03 7385.36 10793.54 6664.31 18393.43 9792.95 10572.16 17878.86 11894.84 7156.97 16497.53 6581.38 10092.11 7394.24 106
diffmvs84.28 7683.83 7485.61 9887.40 21368.02 8190.88 20189.24 24580.54 3981.64 8292.52 12659.83 13294.52 19587.32 5085.11 13994.29 104
EI-MVSNet-Vis-set83.77 8883.67 7584.06 14692.79 8863.56 20391.76 16494.81 2879.65 4977.87 12594.09 9463.35 9897.90 4779.35 11379.36 17790.74 195
CANet_DTU84.09 8283.52 7685.81 8990.30 14766.82 11591.87 15789.01 25885.27 786.09 4193.74 10147.71 25896.98 9977.90 12889.78 10293.65 132
PVSNet_Blended_VisFu83.97 8483.50 7785.39 10690.02 15166.59 12393.77 8491.73 15277.43 8877.08 13789.81 17363.77 9196.97 10079.67 11088.21 11492.60 160
XVS83.87 8683.47 7885.05 11493.22 7363.78 19392.92 11592.66 11573.99 13078.18 12394.31 8955.25 18397.41 7079.16 11591.58 8293.95 122
CHOSEN 1792x268884.98 6583.45 7989.57 1189.94 15375.14 592.07 14792.32 12581.87 2575.68 14788.27 19060.18 12698.60 2580.46 10790.27 9994.96 80
PVSNet_BlendedMVS83.38 9383.43 8083.22 16893.76 5867.53 9494.06 6493.61 7479.13 5881.00 9185.14 22563.19 10097.29 7887.08 5273.91 21884.83 287
MAR-MVS84.18 8083.43 8086.44 6896.25 2365.93 13894.28 5494.27 5374.41 12279.16 11295.61 4053.99 20098.88 2069.62 19093.26 5694.50 100
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
baseline283.68 9183.42 8284.48 13587.37 21466.00 13590.06 22595.93 779.71 4869.08 22090.39 16377.92 696.28 12278.91 11981.38 16691.16 191
CP-MVS83.71 9083.40 8384.65 12993.14 7863.84 19194.59 4892.28 12671.03 21377.41 13194.92 6855.21 18696.19 12481.32 10190.70 9493.91 124
MTAPA83.91 8583.38 8485.50 10091.89 11465.16 15781.75 30992.23 12875.32 11280.53 9595.21 5656.06 17797.16 8684.86 7192.55 6694.18 108
HY-MVS76.49 584.28 7683.36 8587.02 4692.22 10167.74 8884.65 28994.50 4079.15 5782.23 7787.93 19766.88 5696.94 10380.53 10682.20 16096.39 28
MVS_Test84.16 8183.20 8687.05 4591.56 12369.82 3989.99 23092.05 13677.77 7982.84 7386.57 21163.93 8896.09 12874.91 14789.18 10695.25 69
test_yl84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 23981.09 8892.88 12157.00 16297.44 6881.11 10381.76 16396.23 33
DCV-MVSNet84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 23981.09 8892.88 12157.00 16297.44 6881.11 10381.76 16396.23 33
ET-MVSNet_ETH3D84.01 8383.15 8986.58 6290.78 14170.89 2494.74 4794.62 3781.44 3058.19 30993.64 10373.64 2492.35 27082.66 8678.66 18596.50 23
EI-MVSNet-UG-set83.14 9882.96 9083.67 15792.28 9963.19 20991.38 18294.68 3479.22 5576.60 14093.75 10062.64 10497.76 5378.07 12678.01 18890.05 203
HPM-MVScopyleft83.25 9682.95 9184.17 14492.25 10062.88 21990.91 19891.86 14670.30 22577.12 13593.96 9856.75 16796.28 12282.04 9291.34 8893.34 138
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
test250683.29 9482.92 9284.37 13888.39 19063.18 21092.01 15091.35 16977.66 8278.49 12291.42 14664.58 8095.09 17073.19 15389.23 10494.85 82
MVSFormer83.75 8982.88 9386.37 7289.24 17071.18 2189.07 24990.69 19265.80 26887.13 3094.34 8764.99 7492.67 25672.83 15791.80 7895.27 66
MVS84.66 7082.86 9490.06 290.93 13674.56 687.91 26595.54 968.55 24772.35 18694.71 7459.78 13398.90 1881.29 10294.69 3296.74 12
Effi-MVS+83.82 8782.76 9586.99 4789.56 16169.40 4691.35 18486.12 30472.59 16183.22 7192.81 12459.60 13596.01 13581.76 9487.80 11895.56 50
LFMVS84.34 7582.73 9689.18 1394.76 3773.25 1094.99 4391.89 14571.90 18382.16 7893.49 10747.98 25597.05 9082.55 8984.82 14197.25 7
iter_conf0583.27 9582.70 9784.98 11793.32 7071.84 1694.16 5681.76 33582.74 1673.83 16788.40 18672.77 2894.61 18682.10 9175.21 21188.48 221
PGM-MVS83.25 9682.70 9784.92 11992.81 8764.07 18990.44 21292.20 13371.28 20877.23 13494.43 8055.17 18797.31 7779.33 11491.38 8693.37 137
SR-MVS82.81 10382.58 9983.50 16293.35 6961.16 24792.23 14091.28 17364.48 27681.27 8595.28 5053.71 20495.86 13782.87 8488.77 10993.49 136
h-mvs3383.01 10082.56 10084.35 13989.34 16562.02 23192.72 12093.76 6781.45 2882.73 7492.25 13660.11 12797.13 8887.69 4362.96 29293.91 124
thisisatest051583.41 9282.49 10186.16 7889.46 16468.26 7493.54 9294.70 3374.31 12575.75 14590.92 15272.62 2996.52 11969.64 18881.50 16593.71 130
mPP-MVS82.96 10282.44 10284.52 13392.83 8362.92 21792.76 11891.85 14871.52 20375.61 15094.24 9153.48 20896.99 9878.97 11890.73 9393.64 133
sss82.71 10682.38 10383.73 15489.25 16959.58 27492.24 13994.89 2477.96 7579.86 10392.38 13256.70 16897.05 9077.26 13180.86 17094.55 94
CLD-MVS82.73 10482.35 10483.86 15087.90 20467.65 9195.45 2792.18 13585.06 872.58 17992.27 13552.46 21595.78 13984.18 7479.06 18088.16 228
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVSTER82.47 10882.05 10583.74 15292.68 9069.01 5691.90 15693.21 9179.83 4472.14 18785.71 22274.72 1694.72 18275.72 13872.49 22987.50 233
PMMVS81.98 11882.04 10681.78 20489.76 15756.17 31291.13 19490.69 19277.96 7580.09 10093.57 10546.33 26894.99 17381.41 9987.46 12094.17 110
TESTMET0.1,182.41 10981.98 10783.72 15588.08 19863.74 19592.70 12293.77 6679.30 5377.61 12987.57 20258.19 14994.08 21073.91 15286.68 13093.33 140
PAPM_NR82.97 10181.84 10886.37 7294.10 5266.76 11887.66 27092.84 10869.96 22974.07 16493.57 10563.10 10297.50 6670.66 18190.58 9694.85 82
test117281.90 11981.83 10982.13 19693.23 7257.52 30291.61 17190.98 18864.32 27880.20 9995.00 6251.26 22595.61 15181.73 9588.13 11593.26 142
VDD-MVS83.06 9981.81 11086.81 5290.86 13967.70 8995.40 2891.50 16375.46 10781.78 8092.34 13440.09 29297.13 8886.85 5582.04 16195.60 49
DP-MVS Recon82.73 10481.65 11185.98 8297.31 467.06 10895.15 3591.99 13969.08 24276.50 14293.89 9954.48 19598.20 3670.76 17985.66 13692.69 157
MVS_111021_LR82.02 11781.52 11283.51 16188.42 18862.88 21989.77 23488.93 26076.78 9575.55 15193.10 11050.31 23295.38 16383.82 7987.02 12392.26 173
EPP-MVSNet81.79 12181.52 11282.61 18088.77 18160.21 26693.02 10993.66 7368.52 24872.90 17490.39 16372.19 3294.96 17474.93 14679.29 17992.67 158
APD-MVS_3200maxsize81.64 12381.32 11482.59 18192.36 9658.74 28691.39 18091.01 18763.35 28479.72 10594.62 7651.82 21896.14 12679.71 10987.93 11792.89 155
CostFormer82.33 11081.15 11585.86 8789.01 17568.46 6882.39 30793.01 10275.59 10580.25 9881.57 26772.03 3394.96 17479.06 11777.48 19794.16 111
xiu_mvs_v1_base_debu82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15184.20 6294.36 8238.04 30495.73 14384.12 7586.81 12491.33 185
xiu_mvs_v1_base82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15184.20 6294.36 8238.04 30495.73 14384.12 7586.81 12491.33 185
xiu_mvs_v1_base_debi82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15184.20 6294.36 8238.04 30495.73 14384.12 7586.81 12491.33 185
hse-mvs281.12 13281.11 11981.16 21886.52 22657.48 30389.40 24291.16 17681.45 2882.73 7490.49 16160.11 12794.58 18887.69 4360.41 31891.41 184
baseline181.84 12081.03 12084.28 14291.60 12166.62 12191.08 19591.66 15781.87 2574.86 15591.67 14569.98 3794.92 17771.76 17264.75 28191.29 190
iter_conf_final81.74 12280.93 12184.18 14392.66 9169.10 5392.94 11482.80 33379.01 6274.85 15688.40 18661.83 11294.61 18679.36 11276.52 20688.83 213
3Dnovator73.91 682.69 10780.82 12288.31 2289.57 16071.26 2092.60 12894.39 4878.84 6467.89 23992.48 13048.42 25098.52 2668.80 20094.40 3795.15 71
CDS-MVSNet81.43 12580.74 12383.52 15986.26 23164.45 17592.09 14590.65 19675.83 10473.95 16689.81 17363.97 8792.91 24671.27 17582.82 15693.20 145
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
SR-MVS-dyc-post81.06 13380.70 12482.15 19492.02 10558.56 28890.90 19990.45 19862.76 29078.89 11494.46 7851.26 22595.61 15178.77 12186.77 12792.28 169
ACMMPcopyleft81.49 12480.67 12583.93 14991.71 11962.90 21892.13 14292.22 13271.79 19171.68 19493.49 10750.32 23196.96 10178.47 12384.22 15291.93 176
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
HQP-MVS81.14 13080.64 12682.64 17987.54 20963.66 20194.06 6491.70 15579.80 4574.18 16090.30 16551.63 22295.61 15177.63 12978.90 18188.63 218
3Dnovator+73.60 782.10 11680.60 12786.60 6090.89 13866.80 11795.20 3393.44 8474.05 12967.42 24592.49 12949.46 24097.65 5970.80 17891.68 8095.33 58
API-MVS82.28 11180.53 12887.54 3496.13 2470.59 2793.63 8891.04 18665.72 27075.45 15292.83 12356.11 17698.89 1964.10 24089.75 10393.15 146
RE-MVS-def80.48 12992.02 10558.56 28890.90 19990.45 19862.76 29078.89 11494.46 7849.30 24278.77 12186.77 12792.28 169
IB-MVS77.80 482.18 11280.46 13087.35 3889.14 17270.28 3195.59 2595.17 1578.85 6370.19 20885.82 22070.66 3697.67 5572.19 16866.52 26894.09 115
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
ECVR-MVScopyleft81.29 12780.38 13184.01 14888.39 19061.96 23392.56 13386.79 29677.66 8276.63 13991.42 14646.34 26795.24 16874.36 15189.23 10494.85 82
thisisatest053081.15 12980.07 13284.39 13788.26 19465.63 14691.40 17894.62 3771.27 20970.93 19989.18 17772.47 3096.04 13265.62 23076.89 20391.49 181
112181.25 12880.05 13384.87 12292.30 9864.31 18387.91 26591.39 16759.44 31679.94 10192.91 11857.09 15897.01 9366.63 21592.81 6393.29 141
test111180.84 13780.02 13483.33 16587.87 20560.76 25592.62 12786.86 29577.86 7875.73 14691.39 14846.35 26694.70 18572.79 15988.68 11094.52 98
Fast-Effi-MVS+81.14 13080.01 13584.51 13490.24 14865.86 13994.12 6189.15 25173.81 13775.37 15388.26 19157.26 15694.53 19466.97 21484.92 14093.15 146
mvs_anonymous81.36 12679.99 13685.46 10290.39 14668.40 6986.88 28090.61 19774.41 12270.31 20784.67 23263.79 9092.32 27173.13 15485.70 13595.67 46
Vis-MVSNetpermissive80.92 13679.98 13783.74 15288.48 18561.80 23593.44 9688.26 28173.96 13377.73 12691.76 14249.94 23694.76 17965.84 22790.37 9894.65 92
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
nrg03080.93 13579.86 13884.13 14583.69 27168.83 6093.23 10191.20 17475.55 10675.06 15488.22 19463.04 10394.74 18181.88 9366.88 26588.82 216
1112_ss80.56 14079.83 13982.77 17588.65 18260.78 25392.29 13788.36 27672.58 16272.46 18394.95 6465.09 7393.42 23466.38 22177.71 19094.10 114
HQP_MVS80.34 14479.75 14082.12 19786.94 22062.42 22493.13 10391.31 17078.81 6572.53 18089.14 17950.66 22995.55 15776.74 13278.53 18688.39 224
UA-Net80.02 15079.65 14181.11 22189.33 16757.72 29786.33 28389.00 25977.44 8781.01 9089.15 17859.33 13995.90 13661.01 26084.28 15089.73 207
Vis-MVSNet (Re-imp)79.24 16479.57 14278.24 27488.46 18652.29 33190.41 21489.12 25374.24 12669.13 21891.91 14065.77 6790.09 30659.00 27288.09 11692.33 166
test-LLR80.10 14879.56 14381.72 20686.93 22261.17 24592.70 12291.54 16071.51 20475.62 14886.94 20853.83 20192.38 26772.21 16684.76 14391.60 179
HyFIR lowres test81.03 13479.56 14385.43 10487.81 20668.11 7990.18 22290.01 22270.65 22172.95 17386.06 21863.61 9494.50 19675.01 14579.75 17593.67 131
HPM-MVS_fast80.25 14579.55 14582.33 18791.55 12459.95 26991.32 18689.16 25065.23 27474.71 15793.07 11447.81 25795.74 14274.87 14988.23 11391.31 189
TAMVS80.37 14379.45 14683.13 17085.14 24863.37 20491.23 18990.76 19174.81 12072.65 17788.49 18360.63 12292.95 24169.41 19281.95 16293.08 149
FIs79.47 16179.41 14779.67 25385.95 23659.40 27691.68 16893.94 6178.06 7468.96 22388.28 18966.61 5991.77 28266.20 22474.99 21287.82 230
IS-MVSNet80.14 14779.41 14782.33 18787.91 20360.08 26891.97 15488.27 27972.90 15771.44 19691.73 14461.44 11593.66 22962.47 25386.53 13193.24 143
test-mter79.96 15179.38 14981.72 20686.93 22261.17 24592.70 12291.54 16073.85 13575.62 14886.94 20849.84 23892.38 26772.21 16684.76 14391.60 179
BH-w/o80.49 14279.30 15084.05 14790.83 14064.36 18293.60 8989.42 24074.35 12469.09 21990.15 16855.23 18595.61 15164.61 23786.43 13392.17 174
EPNet_dtu78.80 17379.26 15177.43 28288.06 19949.71 34491.96 15591.95 14177.67 8176.56 14191.28 15058.51 14690.20 30456.37 27980.95 16992.39 164
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
abl_679.82 15479.20 15281.70 20889.85 15458.34 29088.47 25890.07 21762.56 29377.71 12793.08 11247.65 25996.78 10977.94 12785.45 13889.99 204
CPTT-MVS79.59 15879.16 15380.89 23091.54 12559.80 27192.10 14488.54 27460.42 30872.96 17293.28 10948.27 25192.80 25078.89 12086.50 13290.06 202
tpmrst80.57 13979.14 15484.84 12390.10 15068.28 7381.70 31089.72 23377.63 8475.96 14479.54 29864.94 7692.71 25375.43 13977.28 20093.55 134
131480.70 13878.95 15585.94 8487.77 20767.56 9287.91 26592.55 12172.17 17767.44 24493.09 11150.27 23397.04 9271.68 17487.64 11993.23 144
UGNet79.87 15378.68 15683.45 16489.96 15261.51 24192.13 14290.79 19076.83 9478.85 11986.33 21438.16 30296.17 12567.93 20587.17 12292.67 158
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
PVSNet73.49 880.05 14978.63 15784.31 14090.92 13764.97 16592.47 13491.05 18579.18 5672.43 18490.51 16037.05 31694.06 21268.06 20386.00 13493.90 126
Test_1112_low_res79.56 15978.60 15882.43 18388.24 19660.39 26392.09 14587.99 28572.10 17971.84 19087.42 20464.62 7993.04 23865.80 22877.30 19993.85 128
tttt051779.50 16078.53 15982.41 18687.22 21661.43 24389.75 23594.76 3069.29 23767.91 23888.06 19672.92 2695.63 14962.91 24973.90 21990.16 201
thres20079.66 15678.33 16083.66 15892.54 9465.82 14293.06 10596.31 374.90 11973.30 17088.66 18159.67 13495.61 15147.84 31178.67 18489.56 210
ab-mvs80.18 14678.31 16185.80 9088.44 18765.49 15183.00 30492.67 11471.82 19077.36 13285.01 22654.50 19296.59 11476.35 13675.63 21095.32 60
VDDNet80.50 14178.26 16287.21 4086.19 23269.79 4094.48 4991.31 17060.42 30879.34 10890.91 15338.48 30096.56 11782.16 9081.05 16895.27 66
EI-MVSNet78.97 16878.22 16381.25 21585.33 24462.73 22289.53 23993.21 9172.39 17072.14 18790.13 16960.99 11894.72 18267.73 20772.49 22986.29 256
OPM-MVS79.00 16778.09 16481.73 20583.52 27463.83 19291.64 17090.30 20876.36 10071.97 18989.93 17246.30 26995.17 16975.10 14277.70 19186.19 260
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
FC-MVSNet-test77.99 18978.08 16577.70 27784.89 25355.51 31790.27 21993.75 7076.87 9166.80 25487.59 20165.71 6890.23 30362.89 25073.94 21787.37 237
VPA-MVSNet79.03 16678.00 16682.11 20085.95 23664.48 17493.22 10294.66 3575.05 11774.04 16584.95 22852.17 21793.52 23174.90 14867.04 26488.32 226
miper_enhance_ethall78.86 17177.97 16781.54 21088.00 20265.17 15691.41 17689.15 25175.19 11568.79 22683.98 24067.17 5392.82 24872.73 16065.30 27286.62 253
mvs-test178.74 17677.95 16881.14 21983.22 27657.13 30793.96 6987.78 28775.42 10872.68 17690.80 15545.08 27694.54 19375.08 14377.49 19691.74 178
tpm279.80 15577.95 16885.34 10888.28 19368.26 7481.56 31291.42 16670.11 22777.59 13080.50 28567.40 5194.26 20467.34 21077.35 19893.51 135
OMC-MVS78.67 17977.91 17080.95 22885.76 24057.40 30588.49 25788.67 26973.85 13572.43 18492.10 13749.29 24394.55 19272.73 16077.89 18990.91 194
test_part179.63 15777.86 17184.93 11892.50 9571.43 1894.15 5991.08 18372.51 16470.66 20084.98 22759.84 13195.07 17172.07 16962.94 29388.30 227
114514_t79.17 16577.67 17283.68 15695.32 3165.53 14992.85 11791.60 15963.49 28367.92 23790.63 15846.65 26395.72 14767.01 21383.54 15389.79 205
BH-RMVSNet79.46 16277.65 17384.89 12091.68 12065.66 14493.55 9188.09 28372.93 15573.37 16991.12 15146.20 27096.12 12756.28 28085.61 13792.91 154
PCF-MVS73.15 979.29 16377.63 17484.29 14186.06 23465.96 13787.03 27691.10 18069.86 23169.79 21590.64 15657.54 15596.59 11464.37 23982.29 15890.32 199
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
UniMVSNet_NR-MVSNet78.15 18777.55 17579.98 24584.46 26060.26 26492.25 13893.20 9377.50 8668.88 22486.61 21066.10 6292.13 27466.38 22162.55 29587.54 232
VPNet78.82 17277.53 17682.70 17784.52 25866.44 12593.93 7492.23 12880.46 4072.60 17888.38 18849.18 24493.13 23772.47 16463.97 28988.55 220
GeoE78.90 17077.43 17783.29 16688.95 17662.02 23192.31 13686.23 30270.24 22671.34 19789.27 17654.43 19694.04 21563.31 24580.81 17193.81 129
AUN-MVS78.37 18377.43 17781.17 21786.60 22557.45 30489.46 24191.16 17674.11 12874.40 15990.49 16155.52 18294.57 18974.73 15060.43 31791.48 182
tfpn200view978.79 17477.43 17782.88 17392.21 10264.49 17292.05 14896.28 473.48 14571.75 19288.26 19160.07 12995.32 16445.16 32177.58 19388.83 213
thres40078.68 17777.43 17782.43 18392.21 10264.49 17292.05 14896.28 473.48 14571.75 19288.26 19160.07 12995.32 16445.16 32177.58 19387.48 234
QAPM79.95 15277.39 18187.64 2989.63 15971.41 1993.30 9993.70 7165.34 27367.39 24791.75 14347.83 25698.96 1657.71 27589.81 10092.54 162
TR-MVS78.77 17577.37 18282.95 17290.49 14360.88 25193.67 8690.07 21770.08 22874.51 15891.37 14945.69 27295.70 14860.12 26680.32 17292.29 168
BH-untuned78.68 17777.08 18383.48 16389.84 15563.74 19592.70 12288.59 27271.57 20166.83 25388.65 18251.75 22095.39 16259.03 27184.77 14291.32 188
tpm78.58 18077.03 18483.22 16885.94 23864.56 17083.21 30291.14 17978.31 7073.67 16879.68 29664.01 8692.09 27666.07 22571.26 23993.03 150
thres100view90078.37 18377.01 18582.46 18291.89 11463.21 20891.19 19396.33 172.28 17370.45 20487.89 19860.31 12495.32 16445.16 32177.58 19388.83 213
AdaColmapbinary78.94 16977.00 18684.76 12496.34 1965.86 13992.66 12687.97 28662.18 29670.56 20192.37 13343.53 28297.35 7464.50 23882.86 15591.05 193
CHOSEN 280x42077.35 19976.95 18778.55 26987.07 21962.68 22369.71 34982.95 33168.80 24471.48 19587.27 20766.03 6384.00 34376.47 13582.81 15788.95 212
cl2277.94 19176.78 18881.42 21287.57 20864.93 16790.67 20788.86 26372.45 16767.63 24382.68 25264.07 8592.91 24671.79 17065.30 27286.44 254
UniMVSNet (Re)77.58 19676.78 18879.98 24584.11 26660.80 25291.76 16493.17 9676.56 9869.93 21484.78 23163.32 9992.36 26964.89 23662.51 29786.78 248
thres600view778.00 18876.66 19082.03 20291.93 11163.69 19991.30 18796.33 172.43 16870.46 20387.89 19860.31 12494.92 17742.64 33376.64 20487.48 234
MS-PatchMatch77.90 19376.50 19182.12 19785.99 23569.95 3691.75 16692.70 11273.97 13262.58 28884.44 23541.11 28995.78 13963.76 24392.17 7280.62 331
miper_ehance_all_eth77.60 19576.44 19281.09 22585.70 24164.41 17990.65 20888.64 27172.31 17167.37 24882.52 25364.77 7892.64 26070.67 18065.30 27286.24 258
XXY-MVS77.94 19176.44 19282.43 18382.60 28364.44 17692.01 15091.83 14973.59 14370.00 21185.82 22054.43 19694.76 17969.63 18968.02 25988.10 229
PS-MVSNAJss77.26 20076.31 19480.13 24280.64 29959.16 28190.63 21191.06 18472.80 15868.58 23084.57 23453.55 20593.96 22072.97 15571.96 23387.27 242
MVP-Stereo77.12 20276.23 19579.79 25181.72 29066.34 12889.29 24390.88 18970.56 22362.01 29182.88 24949.34 24194.13 20765.55 23293.80 4578.88 344
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
GA-MVS78.33 18576.23 19584.65 12983.65 27266.30 12991.44 17490.14 21576.01 10270.32 20684.02 23942.50 28594.72 18270.98 17677.00 20292.94 153
FMVSNet377.73 19476.04 19782.80 17491.20 13368.99 5791.87 15791.99 13973.35 14767.04 25083.19 24856.62 17092.14 27359.80 26869.34 24887.28 241
EPMVS78.49 18275.98 19886.02 8191.21 13269.68 4480.23 32291.20 17475.25 11472.48 18278.11 30654.65 19193.69 22857.66 27683.04 15494.69 88
OpenMVScopyleft70.45 1178.54 18175.92 19986.41 7185.93 23971.68 1792.74 11992.51 12266.49 26464.56 26991.96 13943.88 28198.10 3954.61 28490.65 9589.44 211
DU-MVS76.86 20375.84 20079.91 24782.96 28160.26 26491.26 18891.54 16076.46 9968.88 22486.35 21256.16 17492.13 27466.38 22162.55 29587.35 239
cascas78.18 18675.77 20185.41 10587.14 21869.11 5292.96 11191.15 17866.71 26270.47 20286.07 21737.49 31096.48 12070.15 18479.80 17490.65 196
WR-MVS76.76 20875.74 20279.82 25084.60 25662.27 22992.60 12892.51 12276.06 10167.87 24085.34 22356.76 16690.24 30262.20 25463.69 29186.94 246
mvsmamba76.85 20575.71 20380.25 23983.07 28059.16 28191.44 17480.64 34076.84 9367.95 23686.33 21446.17 27194.24 20576.06 13772.92 22587.36 238
v2v48277.42 19875.65 20482.73 17680.38 30167.13 10791.85 15990.23 21275.09 11669.37 21683.39 24653.79 20394.44 19771.77 17165.00 27886.63 252
c3_l76.83 20775.47 20580.93 22985.02 25164.18 18890.39 21588.11 28271.66 19466.65 25581.64 26563.58 9692.56 26169.31 19462.86 29486.04 265
Anonymous20240521177.96 19075.33 20685.87 8693.73 6264.52 17194.85 4585.36 31062.52 29476.11 14390.18 16729.43 34297.29 7868.51 20177.24 20195.81 45
Effi-MVS+-dtu76.14 21375.28 20778.72 26883.22 27655.17 31989.87 23187.78 28775.42 10867.98 23581.43 26945.08 27692.52 26375.08 14371.63 23488.48 221
IterMVS-LS76.49 21075.18 20880.43 23484.49 25962.74 22190.64 20988.80 26472.40 16965.16 26381.72 26360.98 11992.27 27267.74 20664.65 28386.29 256
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v114476.73 20974.88 20982.27 18980.23 30666.60 12291.68 16890.21 21473.69 14069.06 22181.89 26052.73 21394.40 19869.21 19565.23 27585.80 271
cl____76.07 21474.67 21080.28 23785.15 24761.76 23790.12 22388.73 26771.16 21065.43 26081.57 26761.15 11692.95 24166.54 21862.17 29986.13 263
DIV-MVS_self_test76.07 21474.67 21080.28 23785.14 24861.75 23890.12 22388.73 26771.16 21065.42 26181.60 26661.15 11692.94 24566.54 21862.16 30186.14 261
PatchmatchNetpermissive77.46 19774.63 21285.96 8389.55 16270.35 3079.97 32689.55 23672.23 17470.94 19876.91 31757.03 16092.79 25154.27 28681.17 16794.74 87
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
NR-MVSNet76.05 21774.59 21380.44 23382.96 28162.18 23090.83 20391.73 15277.12 9060.96 29586.35 21259.28 14091.80 28160.74 26161.34 31087.35 239
LPG-MVS_test75.82 22274.58 21479.56 25784.31 26359.37 27790.44 21289.73 23169.49 23464.86 26488.42 18438.65 29894.30 20072.56 16272.76 22685.01 285
V4276.46 21174.55 21582.19 19379.14 31867.82 8690.26 22089.42 24073.75 13868.63 22981.89 26051.31 22494.09 20971.69 17364.84 27984.66 288
TranMVSNet+NR-MVSNet75.86 22174.52 21679.89 24882.44 28460.64 26091.37 18391.37 16876.63 9667.65 24286.21 21652.37 21691.55 28661.84 25660.81 31387.48 234
v14876.19 21274.47 21781.36 21380.05 30764.44 17691.75 16690.23 21273.68 14167.13 24980.84 28055.92 18093.86 22668.95 19861.73 30685.76 274
eth_miper_zixun_eth75.96 22074.40 21880.66 23184.66 25563.02 21289.28 24488.27 27971.88 18565.73 25881.65 26459.45 13692.81 24968.13 20260.53 31586.14 261
gg-mvs-nofinetune77.18 20174.31 21985.80 9091.42 12768.36 7071.78 34394.72 3249.61 34777.12 13545.92 36477.41 893.98 21967.62 20893.16 5795.05 76
CVMVSNet74.04 24174.27 22073.33 31485.33 24443.94 36089.53 23988.39 27554.33 33670.37 20590.13 16949.17 24584.05 34161.83 25779.36 17791.99 175
ACMP71.68 1075.58 22774.23 22179.62 25584.97 25259.64 27290.80 20489.07 25670.39 22462.95 28487.30 20638.28 30193.87 22472.89 15671.45 23785.36 280
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Anonymous2024052976.84 20674.15 22284.88 12191.02 13464.95 16693.84 8291.09 18153.57 33773.00 17187.42 20435.91 32097.32 7669.14 19672.41 23192.36 165
X-MVStestdata76.86 20374.13 22385.05 11493.22 7363.78 19392.92 11592.66 11573.99 13078.18 12310.19 37655.25 18397.41 7079.16 11591.58 8293.95 122
v14419276.05 21774.03 22482.12 19779.50 31266.55 12491.39 18089.71 23472.30 17268.17 23381.33 27251.75 22094.03 21767.94 20464.19 28585.77 272
FMVSNet276.07 21474.01 22582.26 19188.85 17767.66 9091.33 18591.61 15870.84 21665.98 25782.25 25648.03 25292.00 27858.46 27368.73 25487.10 243
v119275.98 21973.92 22682.15 19479.73 30866.24 13191.22 19089.75 22872.67 16068.49 23181.42 27049.86 23794.27 20267.08 21265.02 27785.95 268
GBi-Net75.65 22473.83 22781.10 22288.85 17765.11 15990.01 22790.32 20470.84 21667.04 25080.25 29048.03 25291.54 28759.80 26869.34 24886.64 249
test175.65 22473.83 22781.10 22288.85 17765.11 15990.01 22790.32 20470.84 21667.04 25080.25 29048.03 25291.54 28759.80 26869.34 24886.64 249
PLCcopyleft68.80 1475.23 23073.68 22979.86 24992.93 8258.68 28790.64 20988.30 27760.90 30564.43 27390.53 15942.38 28694.57 18956.52 27876.54 20586.33 255
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TAPA-MVS70.22 1274.94 23473.53 23079.17 26290.40 14552.07 33289.19 24789.61 23562.69 29270.07 20992.67 12548.89 24994.32 19938.26 34779.97 17391.12 192
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v192192075.63 22673.49 23182.06 20179.38 31366.35 12791.07 19789.48 23771.98 18067.99 23481.22 27549.16 24693.90 22366.56 21764.56 28485.92 270
Fast-Effi-MVS+-dtu75.04 23273.37 23280.07 24380.86 29559.52 27591.20 19285.38 30971.90 18365.20 26284.84 23041.46 28892.97 24066.50 22072.96 22487.73 231
v875.35 22873.26 23381.61 20980.67 29866.82 11589.54 23889.27 24471.65 19563.30 28280.30 28954.99 18994.06 21267.33 21162.33 29883.94 293
XVG-OURS-SEG-HR74.70 23673.08 23479.57 25678.25 32857.33 30680.49 31887.32 29163.22 28668.76 22790.12 17144.89 27891.59 28570.55 18274.09 21689.79 205
v124075.21 23172.98 23581.88 20379.20 31566.00 13590.75 20689.11 25471.63 19967.41 24681.22 27547.36 26093.87 22465.46 23364.72 28285.77 272
RRT_MVS74.44 23772.97 23678.84 26782.36 28557.66 29989.83 23388.79 26670.61 22264.58 26884.89 22939.24 29492.65 25970.11 18566.34 26986.21 259
Baseline_NR-MVSNet73.99 24272.83 23777.48 28180.78 29659.29 28091.79 16184.55 31868.85 24368.99 22280.70 28156.16 17492.04 27762.67 25160.98 31281.11 325
SCA75.82 22272.76 23885.01 11686.63 22470.08 3281.06 31689.19 24871.60 20070.01 21077.09 31545.53 27390.25 29960.43 26373.27 22194.68 89
ACMM69.62 1374.34 23872.73 23979.17 26284.25 26557.87 29590.36 21689.93 22363.17 28765.64 25986.04 21937.79 30894.10 20865.89 22671.52 23685.55 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test0.0.03 172.76 25472.71 24072.88 31880.25 30547.99 35091.22 19089.45 23871.51 20462.51 28987.66 20053.83 20185.06 33850.16 29867.84 26285.58 275
MDTV_nov1_ep1372.61 24189.06 17368.48 6780.33 32090.11 21671.84 18971.81 19175.92 32553.01 21193.92 22248.04 30873.38 220
test_djsdf73.76 24672.56 24277.39 28377.00 33753.93 32489.07 24990.69 19265.80 26863.92 27582.03 25943.14 28492.67 25672.83 15768.53 25585.57 276
v1074.77 23572.54 24381.46 21180.33 30466.71 11989.15 24889.08 25570.94 21463.08 28379.86 29452.52 21494.04 21565.70 22962.17 29983.64 295
XVG-OURS74.25 24072.46 24479.63 25478.45 32757.59 30180.33 32087.39 29063.86 28168.76 22789.62 17540.50 29191.72 28369.00 19774.25 21489.58 208
CNLPA74.31 23972.30 24580.32 23591.49 12661.66 23990.85 20280.72 33956.67 33063.85 27790.64 15646.75 26290.84 29453.79 28875.99 20988.47 223
tpm cat175.30 22972.21 24684.58 13288.52 18367.77 8778.16 33588.02 28461.88 30168.45 23276.37 32160.65 12194.03 21753.77 28974.11 21591.93 176
dp75.01 23372.09 24783.76 15189.28 16866.22 13279.96 32789.75 22871.16 21067.80 24177.19 31451.81 21992.54 26250.39 29771.44 23892.51 163
D2MVS73.80 24472.02 24879.15 26479.15 31762.97 21388.58 25690.07 21772.94 15459.22 30378.30 30342.31 28792.70 25565.59 23172.00 23281.79 322
LCM-MVSNet-Re72.93 25171.84 24976.18 29788.49 18448.02 34980.07 32570.17 36173.96 13352.25 33180.09 29349.98 23588.24 31967.35 20984.23 15192.28 169
pmmvs473.92 24371.81 25080.25 23979.17 31665.24 15487.43 27387.26 29367.64 25663.46 28083.91 24148.96 24891.53 29062.94 24865.49 27183.96 292
miper_lstm_enhance73.05 24971.73 25177.03 28883.80 26958.32 29181.76 30888.88 26169.80 23261.01 29478.23 30557.19 15787.51 32865.34 23459.53 32085.27 283
pmmvs573.35 24771.52 25278.86 26678.64 32560.61 26191.08 19586.90 29467.69 25363.32 28183.64 24244.33 28090.53 29662.04 25566.02 27085.46 278
jajsoiax73.05 24971.51 25377.67 27877.46 33454.83 32088.81 25290.04 22169.13 24162.85 28683.51 24431.16 33792.75 25270.83 17769.80 24485.43 279
mvs_tets72.71 25671.11 25477.52 27977.41 33554.52 32288.45 25989.76 22768.76 24662.70 28783.26 24729.49 34192.71 25370.51 18369.62 24685.34 281
pm-mvs172.89 25271.09 25578.26 27379.10 31957.62 30090.80 20489.30 24367.66 25462.91 28581.78 26249.11 24792.95 24160.29 26558.89 32384.22 291
IterMVS72.65 25870.83 25678.09 27582.17 28662.96 21487.64 27186.28 30071.56 20260.44 29778.85 30145.42 27586.66 33263.30 24661.83 30384.65 289
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CR-MVSNet73.79 24570.82 25782.70 17783.15 27867.96 8270.25 34684.00 32373.67 14269.97 21272.41 33657.82 15289.48 31052.99 29273.13 22290.64 197
UniMVSNet_ETH3D72.74 25570.53 25879.36 25978.62 32656.64 31085.01 28789.20 24763.77 28264.84 26684.44 23534.05 32591.86 28063.94 24170.89 24189.57 209
Anonymous2023121173.08 24870.39 25981.13 22090.62 14263.33 20591.40 17890.06 22051.84 34164.46 27280.67 28336.49 31894.07 21163.83 24264.17 28685.98 267
PatchMatch-RL72.06 25969.98 26078.28 27289.51 16355.70 31683.49 29683.39 32961.24 30463.72 27882.76 25034.77 32393.03 23953.37 29177.59 19286.12 264
IterMVS-SCA-FT71.55 26369.97 26176.32 29581.48 29160.67 25987.64 27185.99 30566.17 26659.50 30178.88 30045.53 27383.65 34562.58 25261.93 30284.63 290
WR-MVS_H70.59 26769.94 26272.53 32081.03 29451.43 33587.35 27492.03 13867.38 25760.23 29880.70 28155.84 18183.45 34746.33 31758.58 32582.72 310
CP-MVSNet70.50 26869.91 26372.26 32380.71 29751.00 33887.23 27590.30 20867.84 25159.64 30082.69 25150.23 23482.30 35551.28 29459.28 32183.46 300
FMVSNet172.71 25669.91 26381.10 22283.60 27365.11 15990.01 22790.32 20463.92 28063.56 27980.25 29036.35 31991.54 28754.46 28566.75 26686.64 249
tpmvs72.88 25369.76 26582.22 19290.98 13567.05 10978.22 33488.30 27763.10 28864.35 27474.98 32855.09 18894.27 20243.25 32769.57 24785.34 281
bld_raw_dy_0_6471.59 26269.71 26677.22 28777.82 33358.12 29387.71 26973.66 35468.01 25061.90 29384.29 23733.68 32688.43 31769.91 18770.43 24285.11 284
anonymousdsp71.14 26569.37 26776.45 29472.95 34954.71 32184.19 29188.88 26161.92 30062.15 29079.77 29538.14 30391.44 29268.90 19967.45 26383.21 304
PS-CasMVS69.86 27469.13 26872.07 32680.35 30350.57 34087.02 27789.75 22867.27 25859.19 30482.28 25546.58 26482.24 35650.69 29659.02 32283.39 302
v7n71.31 26468.65 26979.28 26076.40 33960.77 25486.71 28189.45 23864.17 27958.77 30878.24 30444.59 27993.54 23057.76 27461.75 30583.52 298
PEN-MVS69.46 27668.56 27072.17 32579.27 31449.71 34486.90 27989.24 24567.24 26159.08 30582.51 25447.23 26183.54 34648.42 30657.12 32683.25 303
MIMVSNet71.64 26168.44 27181.23 21681.97 28964.44 17673.05 34288.80 26469.67 23364.59 26774.79 32932.79 32987.82 32353.99 28776.35 20791.42 183
F-COLMAP70.66 26668.44 27177.32 28486.37 23055.91 31488.00 26386.32 29956.94 32857.28 31788.07 19533.58 32792.49 26451.02 29568.37 25683.55 296
PVSNet_068.08 1571.81 26068.32 27382.27 18984.68 25462.31 22888.68 25490.31 20775.84 10357.93 31480.65 28437.85 30794.19 20669.94 18629.05 36890.31 200
CL-MVSNet_self_test69.92 27268.09 27475.41 30073.25 34855.90 31590.05 22689.90 22469.96 22961.96 29276.54 31851.05 22787.64 32549.51 30250.59 34482.70 312
TransMVSNet (Re)70.07 27167.66 27577.31 28580.62 30059.13 28391.78 16384.94 31465.97 26760.08 29980.44 28650.78 22891.87 27948.84 30445.46 35280.94 327
tfpnnormal70.10 27067.36 27678.32 27183.45 27560.97 25088.85 25192.77 11064.85 27560.83 29678.53 30243.52 28393.48 23231.73 36361.70 30780.52 332
DTE-MVSNet68.46 28567.33 27771.87 32877.94 33149.00 34786.16 28488.58 27366.36 26558.19 30982.21 25746.36 26583.87 34444.97 32455.17 33382.73 309
MVS_030468.99 28167.23 27874.28 30980.36 30252.54 32987.01 27886.36 29859.89 31466.22 25673.56 33224.25 35188.03 32157.34 27770.11 24382.27 318
DP-MVS69.90 27366.48 27980.14 24195.36 3062.93 21589.56 23676.11 34750.27 34657.69 31585.23 22439.68 29395.73 14333.35 35771.05 24081.78 323
LS3D69.17 27766.40 28077.50 28091.92 11256.12 31385.12 28680.37 34146.96 35356.50 31987.51 20337.25 31193.71 22732.52 36279.40 17682.68 313
KD-MVS_2432*160069.03 27966.37 28177.01 28985.56 24261.06 24881.44 31390.25 21067.27 25858.00 31276.53 31954.49 19387.63 32648.04 30835.77 36382.34 316
miper_refine_blended69.03 27966.37 28177.01 28985.56 24261.06 24881.44 31390.25 21067.27 25858.00 31276.53 31954.49 19387.63 32648.04 30835.77 36382.34 316
Anonymous2023120667.53 29365.78 28372.79 31974.95 34347.59 35288.23 26187.32 29161.75 30358.07 31177.29 31237.79 30887.29 33042.91 32963.71 29083.48 299
MSDG69.54 27565.73 28480.96 22785.11 25063.71 19784.19 29183.28 33056.95 32754.50 32284.03 23831.50 33596.03 13342.87 33169.13 25183.14 306
RPMNet70.42 26965.68 28584.63 13183.15 27867.96 8270.25 34690.45 19846.83 35569.97 21265.10 35356.48 17395.30 16735.79 35273.13 22290.64 197
FMVSNet568.04 28865.66 28675.18 30284.43 26157.89 29483.54 29586.26 30161.83 30253.64 32773.30 33337.15 31485.08 33748.99 30361.77 30482.56 315
XVG-ACMP-BASELINE68.04 28865.53 28775.56 29974.06 34752.37 33078.43 33185.88 30662.03 29858.91 30781.21 27720.38 36091.15 29360.69 26268.18 25783.16 305
EG-PatchMatch MVS68.55 28365.41 28877.96 27678.69 32462.93 21589.86 23289.17 24960.55 30750.27 33977.73 30922.60 35694.06 21247.18 31472.65 22876.88 351
PatchT69.11 27865.37 28980.32 23582.07 28863.68 20067.96 35587.62 28950.86 34469.37 21665.18 35257.09 15888.53 31641.59 33666.60 26788.74 217
ACMH63.93 1768.62 28264.81 29080.03 24485.22 24663.25 20687.72 26884.66 31760.83 30651.57 33479.43 29927.29 34794.96 17441.76 33464.84 27981.88 321
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
pmmvs667.57 29264.76 29176.00 29872.82 35153.37 32688.71 25386.78 29753.19 33857.58 31678.03 30735.33 32292.41 26655.56 28254.88 33582.21 319
our_test_368.29 28664.69 29279.11 26578.92 32064.85 16888.40 26085.06 31260.32 31052.68 32976.12 32340.81 29089.80 30944.25 32655.65 33182.67 314
ACMH+65.35 1667.65 29164.55 29376.96 29184.59 25757.10 30888.08 26280.79 33858.59 32153.00 32881.09 27926.63 34992.95 24146.51 31561.69 30880.82 328
USDC67.43 29564.51 29476.19 29677.94 33155.29 31878.38 33285.00 31373.17 14948.36 34580.37 28721.23 35892.48 26552.15 29364.02 28880.81 329
Patchmatch-RL test68.17 28764.49 29579.19 26171.22 35353.93 32470.07 34871.54 36069.22 23856.79 31862.89 35556.58 17188.61 31369.53 19152.61 33995.03 79
CMPMVSbinary48.56 2166.77 29764.41 29673.84 31170.65 35650.31 34177.79 33685.73 30845.54 35644.76 35482.14 25835.40 32190.14 30563.18 24774.54 21381.07 326
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
ADS-MVSNet68.54 28464.38 29781.03 22688.06 19966.90 11468.01 35384.02 32257.57 32264.48 27069.87 34538.68 29689.21 31240.87 33867.89 26086.97 244
Patchmtry67.53 29363.93 29878.34 27082.12 28764.38 18068.72 35084.00 32348.23 35259.24 30272.41 33657.82 15289.27 31146.10 31856.68 33081.36 324
ppachtmachnet_test67.72 29063.70 29979.77 25278.92 32066.04 13488.68 25482.90 33260.11 31255.45 32075.96 32439.19 29590.55 29539.53 34252.55 34082.71 311
LTVRE_ROB59.60 1966.27 29963.54 30074.45 30684.00 26851.55 33467.08 35683.53 32658.78 31954.94 32180.31 28834.54 32493.23 23640.64 34068.03 25878.58 347
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
ADS-MVSNet266.90 29663.44 30177.26 28688.06 19960.70 25868.01 35375.56 35057.57 32264.48 27069.87 34538.68 29684.10 34040.87 33867.89 26086.97 244
UnsupCasMVSNet_eth65.79 30263.10 30273.88 31070.71 35550.29 34281.09 31589.88 22572.58 16249.25 34374.77 33032.57 33187.43 32955.96 28141.04 35883.90 294
EU-MVSNet64.01 30963.01 30367.02 34074.40 34638.86 36983.27 30086.19 30345.11 35754.27 32381.15 27836.91 31780.01 36048.79 30557.02 32782.19 320
OpenMVS_ROBcopyleft61.12 1866.39 29862.92 30476.80 29376.51 33857.77 29689.22 24583.41 32855.48 33453.86 32677.84 30826.28 35093.95 22134.90 35468.76 25378.68 346
testgi64.48 30762.87 30569.31 33371.24 35240.62 36485.49 28579.92 34265.36 27254.18 32483.49 24523.74 35484.55 33941.60 33560.79 31482.77 308
test20.0363.83 31062.65 30667.38 33970.58 35739.94 36586.57 28284.17 32063.29 28551.86 33277.30 31137.09 31582.47 35338.87 34654.13 33779.73 338
JIA-IIPM66.06 30062.45 30776.88 29281.42 29354.45 32357.49 36488.67 26949.36 34863.86 27646.86 36356.06 17790.25 29949.53 30168.83 25285.95 268
pmmvs-eth3d65.53 30362.32 30875.19 30169.39 35959.59 27382.80 30583.43 32762.52 29451.30 33672.49 33432.86 32887.16 33155.32 28350.73 34378.83 345
OurMVSNet-221017-064.68 30562.17 30972.21 32476.08 34247.35 35380.67 31781.02 33756.19 33151.60 33379.66 29727.05 34888.56 31553.60 29053.63 33880.71 330
RPSCF64.24 30861.98 31071.01 33076.10 34145.00 35775.83 33975.94 34846.94 35458.96 30684.59 23331.40 33682.00 35747.76 31260.33 31986.04 265
SixPastTwentyTwo64.92 30461.78 31174.34 30878.74 32349.76 34383.42 29979.51 34462.86 28950.27 33977.35 31030.92 33990.49 29745.89 31947.06 34982.78 307
test_040264.54 30661.09 31274.92 30384.10 26760.75 25687.95 26479.71 34352.03 34052.41 33077.20 31332.21 33391.64 28423.14 36661.03 31172.36 358
Patchmatch-test65.86 30160.94 31380.62 23283.75 27058.83 28558.91 36375.26 35244.50 35950.95 33877.09 31558.81 14587.90 32235.13 35364.03 28795.12 73
MDA-MVSNet_test_wron63.78 31160.16 31474.64 30478.15 32960.41 26283.49 29684.03 32156.17 33339.17 36271.59 34237.22 31283.24 35042.87 33148.73 34680.26 335
YYNet163.76 31260.14 31574.62 30578.06 33060.19 26783.46 29883.99 32556.18 33239.25 36171.56 34337.18 31383.34 34842.90 33048.70 34780.32 334
COLMAP_ROBcopyleft57.96 2062.98 31459.65 31672.98 31781.44 29253.00 32883.75 29475.53 35148.34 35148.81 34481.40 27124.14 35290.30 29832.95 35960.52 31675.65 354
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
K. test v363.09 31359.61 31773.53 31376.26 34049.38 34683.27 30077.15 34664.35 27747.77 34772.32 33828.73 34387.79 32449.93 30036.69 36283.41 301
Anonymous2024052162.09 31559.08 31871.10 32967.19 36148.72 34883.91 29385.23 31150.38 34547.84 34671.22 34420.74 35985.51 33646.47 31658.75 32479.06 343
KD-MVS_self_test60.87 31958.60 31967.68 33766.13 36239.93 36675.63 34084.70 31657.32 32549.57 34268.45 34829.55 34082.87 35148.09 30747.94 34880.25 336
AllTest61.66 31658.06 32072.46 32179.57 30951.42 33680.17 32368.61 36351.25 34245.88 34981.23 27319.86 36186.58 33338.98 34457.01 32879.39 340
UnsupCasMVSNet_bld61.60 31757.71 32173.29 31568.73 36051.64 33378.61 33089.05 25757.20 32646.11 34861.96 35728.70 34488.60 31450.08 29938.90 36079.63 339
MDA-MVSNet-bldmvs61.54 31857.70 32273.05 31679.53 31157.00 30983.08 30381.23 33657.57 32234.91 36472.45 33532.79 32986.26 33535.81 35141.95 35675.89 353
MIMVSNet160.16 32257.33 32368.67 33469.71 35844.13 35978.92 32984.21 31955.05 33544.63 35571.85 34023.91 35381.54 35932.63 36155.03 33480.35 333
PM-MVS59.40 32356.59 32467.84 33563.63 36441.86 36176.76 33763.22 36959.01 31851.07 33772.27 33911.72 36983.25 34961.34 25850.28 34578.39 348
new-patchmatchnet59.30 32456.48 32567.79 33665.86 36344.19 35882.47 30681.77 33459.94 31343.65 35866.20 35127.67 34681.68 35839.34 34341.40 35777.50 350
TinyColmap60.32 32056.42 32672.00 32778.78 32253.18 32778.36 33375.64 34952.30 33941.59 36075.82 32614.76 36688.35 31835.84 35054.71 33674.46 355
MVS-HIRNet60.25 32155.55 32774.35 30784.37 26256.57 31171.64 34474.11 35334.44 36445.54 35342.24 36731.11 33889.81 30740.36 34176.10 20876.67 352
DSMNet-mixed56.78 32554.44 32863.79 34263.21 36529.44 37364.43 35864.10 36842.12 36151.32 33571.60 34131.76 33475.04 36236.23 34965.20 27686.87 247
LF4IMVS54.01 32852.12 32959.69 34362.41 36739.91 36768.59 35168.28 36542.96 36044.55 35675.18 32714.09 36868.39 36641.36 33751.68 34170.78 359
TDRefinement55.28 32751.58 33066.39 34159.53 36946.15 35676.23 33872.80 35644.60 35842.49 35976.28 32215.29 36482.39 35433.20 35843.75 35470.62 360
pmmvs355.51 32651.50 33167.53 33857.90 37050.93 33980.37 31973.66 35440.63 36244.15 35764.75 35416.30 36378.97 36144.77 32540.98 35972.69 356
N_pmnet50.55 32949.11 33254.88 34777.17 3364.02 38384.36 2902.00 38248.59 34945.86 35168.82 34732.22 33282.80 35231.58 36451.38 34277.81 349
new_pmnet49.31 33046.44 33357.93 34462.84 36640.74 36368.47 35262.96 37036.48 36335.09 36357.81 35914.97 36572.18 36432.86 36046.44 35060.88 364
FPMVS45.64 33143.10 33453.23 34951.42 37336.46 37064.97 35771.91 35829.13 36627.53 36661.55 3589.83 37165.01 37016.00 37055.58 33258.22 365
EGC-MVSNET42.35 33238.09 33555.11 34674.57 34446.62 35571.63 34555.77 3720.04 3770.24 37862.70 35614.24 36774.91 36317.59 36946.06 35143.80 366
LCM-MVSNet40.54 33335.79 33654.76 34836.92 37830.81 37251.41 36569.02 36222.07 36824.63 36745.37 3654.56 37865.81 36833.67 35634.50 36567.67 361
ANet_high40.27 33435.20 33755.47 34534.74 37934.47 37163.84 35971.56 35948.42 35018.80 37041.08 3689.52 37264.45 37120.18 3678.66 37567.49 362
test_method38.59 33535.16 33848.89 35154.33 37121.35 37845.32 36853.71 3737.41 37428.74 36551.62 3618.70 37352.87 37233.73 35532.89 36672.47 357
PMMVS237.93 33633.61 33950.92 35046.31 37524.76 37660.55 36250.05 37428.94 36720.93 36847.59 3624.41 37965.13 36925.14 36518.55 37062.87 363
Gipumacopyleft34.91 33731.44 34045.30 35270.99 35439.64 36819.85 37272.56 35720.10 37016.16 37221.47 3735.08 37771.16 36513.07 37143.70 35525.08 370
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft26.43 2231.84 33828.16 34142.89 35325.87 38127.58 37450.92 36649.78 37521.37 36914.17 37340.81 3692.01 38066.62 3679.61 37338.88 36134.49 369
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
cdsmvs_eth3d_5k19.86 34326.47 3420.00 3620.00 3850.00 3860.00 37393.45 820.00 3800.00 38195.27 5249.56 2390.00 3810.00 3790.00 3780.00 377
E-PMN24.61 33924.00 34326.45 35643.74 37618.44 38060.86 36039.66 37615.11 3719.53 37522.10 3726.52 37546.94 3748.31 37410.14 37213.98 372
tmp_tt22.26 34223.75 34417.80 3585.23 38212.06 38235.26 36939.48 3772.82 37618.94 36944.20 36622.23 35724.64 37736.30 3489.31 37416.69 371
EMVS23.76 34123.20 34525.46 35741.52 37716.90 38160.56 36138.79 37914.62 3728.99 37620.24 3757.35 37445.82 3757.25 3759.46 37313.64 373
MVEpermissive24.84 2324.35 34019.77 34638.09 35434.56 38026.92 37526.57 37038.87 37811.73 37311.37 37427.44 3701.37 38150.42 37311.41 37214.60 37136.93 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuyk23d11.30 34410.95 34712.33 35948.05 37419.89 37925.89 3711.92 3833.58 3753.12 3771.37 3770.64 38215.77 3786.23 3767.77 3761.35 374
ab-mvs-re7.91 34510.55 3480.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 38194.95 640.00 3850.00 3810.00 3790.00 3780.00 377
testmvs7.23 3469.62 3490.06 3610.04 3830.02 38584.98 2880.02 3840.03 3780.18 3791.21 3780.01 3840.02 3790.14 3770.01 3770.13 376
test1236.92 3479.21 3500.08 3600.03 3840.05 38481.65 3110.01 3850.02 3790.14 3800.85 3790.03 3830.02 3790.12 3780.00 3780.16 375
pcd_1.5k_mvsjas4.46 3485.95 3510.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 38053.55 2050.00 3810.00 3790.00 3780.00 377
test_blank0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
uanet_test0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
DCPMVS0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
sosnet-low-res0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
sosnet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
uncertanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
Regformer0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
uanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
FOURS193.95 5361.77 23693.96 6991.92 14262.14 29786.57 35
MSC_two_6792asdad89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
PC_three_145280.91 3694.07 296.83 1483.57 499.12 595.70 297.42 497.55 4
No_MVS89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
test_one_060196.32 2069.74 4294.18 5571.42 20790.67 1596.85 1274.45 19
eth-test20.00 385
eth-test0.00 385
ZD-MVS96.63 1165.50 15093.50 8070.74 22085.26 5395.19 5864.92 7797.29 7887.51 4593.01 59
IU-MVS96.46 1369.91 3795.18 1480.75 3795.28 192.34 895.36 1496.47 24
OPU-MVS89.97 397.52 373.15 1396.89 497.00 983.82 299.15 295.72 197.63 397.62 2
test_241102_TWO94.41 4571.65 19592.07 697.21 574.58 1799.11 692.34 895.36 1496.59 15
test_241102_ONE96.45 1469.38 4794.44 4371.65 19592.11 497.05 876.79 999.11 6
save fliter93.84 5667.89 8495.05 3992.66 11578.19 71
test_0728_THIRD72.48 16590.55 1696.93 1076.24 1199.08 1191.53 1694.99 1796.43 26
test_0728_SECOND88.70 1696.45 1470.43 2996.64 894.37 4999.15 291.91 1494.90 2196.51 20
test072696.40 1769.99 3396.76 694.33 5171.92 18191.89 897.11 773.77 22
GSMVS94.68 89
test_part296.29 2168.16 7890.78 13
sam_mvs157.85 15194.68 89
sam_mvs54.91 190
ambc69.61 33261.38 36841.35 36249.07 36785.86 30750.18 34166.40 35010.16 37088.14 32045.73 32044.20 35379.32 342
MTGPAbinary92.23 128
test_post178.95 32820.70 37453.05 21091.50 29160.43 263
test_post23.01 37156.49 17292.67 256
patchmatchnet-post67.62 34957.62 15490.25 299
GG-mvs-BLEND86.53 6591.91 11369.67 4575.02 34194.75 3178.67 12190.85 15477.91 794.56 19172.25 16593.74 4795.36 57
MTMP93.77 8432.52 380
gm-plane-assit88.42 18867.04 11078.62 6891.83 14197.37 7276.57 134
test9_res89.41 2694.96 1895.29 62
TEST994.18 4667.28 10194.16 5693.51 7871.75 19385.52 4895.33 4768.01 4497.27 82
test_894.19 4567.19 10494.15 5993.42 8571.87 18685.38 5195.35 4668.19 4196.95 102
agg_prior286.41 5794.75 3095.33 58
agg_prior94.16 5066.97 11293.31 8884.49 5996.75 111
TestCases72.46 32179.57 30951.42 33668.61 36351.25 34245.88 34981.23 27319.86 36186.58 33338.98 34457.01 32879.39 340
test_prior467.18 10693.92 75
test_prior295.10 3775.40 11085.25 5495.61 4067.94 4587.47 4694.77 25
test_prior86.42 6994.71 3967.35 9993.10 10096.84 10795.05 76
旧先验292.00 15359.37 31787.54 2993.47 23375.39 140
新几何291.41 176
新几何184.73 12592.32 9764.28 18591.46 16559.56 31579.77 10492.90 11956.95 16596.57 11663.40 24492.91 6193.34 138
旧先验191.94 11060.74 25791.50 16394.36 8265.23 7191.84 7794.55 94
无先验92.71 12192.61 11962.03 29897.01 9366.63 21593.97 121
原ACMM292.01 150
原ACMM184.42 13693.21 7564.27 18693.40 8765.39 27179.51 10792.50 12758.11 15096.69 11365.27 23593.96 4292.32 167
test22289.77 15661.60 24089.55 23789.42 24056.83 32977.28 13392.43 13152.76 21291.14 9193.09 148
testdata296.09 12861.26 259
segment_acmp65.94 64
testdata81.34 21489.02 17457.72 29789.84 22658.65 32085.32 5294.09 9457.03 16093.28 23569.34 19390.56 9793.03 150
testdata189.21 24677.55 85
test1287.09 4494.60 4168.86 5992.91 10682.67 7665.44 7097.55 6493.69 5094.84 85
plane_prior786.94 22061.51 241
plane_prior687.23 21562.32 22750.66 229
plane_prior591.31 17095.55 15776.74 13278.53 18688.39 224
plane_prior489.14 179
plane_prior361.95 23479.09 5972.53 180
plane_prior293.13 10378.81 65
plane_prior187.15 217
plane_prior62.42 22493.85 7979.38 5178.80 183
n20.00 386
nn0.00 386
door-mid66.01 367
lessismore_v073.72 31272.93 35047.83 35161.72 37145.86 35173.76 33128.63 34589.81 30747.75 31331.37 36783.53 297
LGP-MVS_train79.56 25784.31 26359.37 27789.73 23169.49 23464.86 26488.42 18438.65 29894.30 20072.56 16272.76 22685.01 285
test1193.01 102
door66.57 366
HQP5-MVS63.66 201
HQP-NCC87.54 20994.06 6479.80 4574.18 160
ACMP_Plane87.54 20994.06 6479.80 4574.18 160
BP-MVS77.63 129
HQP4-MVS74.18 16095.61 15188.63 218
HQP3-MVS91.70 15578.90 181
HQP2-MVS51.63 222
NP-MVS87.41 21263.04 21190.30 165
MDTV_nov1_ep13_2view59.90 27080.13 32467.65 25572.79 17554.33 19859.83 26792.58 161
ACMMP++_ref71.63 234
ACMMP++69.72 245
Test By Simon54.21 199
ITE_SJBPF70.43 33174.44 34547.06 35477.32 34560.16 31154.04 32583.53 24323.30 35584.01 34243.07 32861.58 30980.21 337
DeepMVS_CXcopyleft34.71 35551.45 37224.73 37728.48 38131.46 36517.49 37152.75 3605.80 37642.60 37618.18 36819.42 36936.81 368