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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
DPM-MVS90.70 290.52 791.24 189.68 15976.68 297.29 195.35 1082.87 1591.58 1097.22 479.93 599.10 983.12 8297.64 297.94 1
DVP-MVS++90.53 391.09 488.87 1497.31 469.91 3793.96 6894.37 5072.48 16592.07 696.85 1283.82 299.15 291.53 1697.42 497.55 4
MSP-MVS90.38 491.87 185.88 8692.83 8364.03 19193.06 10594.33 5282.19 2093.65 396.15 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
CNVR-MVS90.32 590.89 688.61 1996.76 1070.65 2596.47 1294.83 2684.83 989.07 2396.80 1570.86 3499.06 1592.64 695.71 1196.12 35
ETH3 D test640090.27 690.44 889.75 696.82 974.33 795.89 1694.80 2977.13 8889.13 2297.38 274.49 1898.48 2892.32 1195.98 896.46 25
DELS-MVS90.05 790.09 1089.94 493.14 7773.88 897.01 394.40 4888.32 285.71 4694.91 6874.11 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
SED-MVS89.94 890.36 988.70 1696.45 1469.38 4796.89 494.44 4371.65 19692.11 497.21 576.79 999.11 692.34 895.36 1497.62 2
DeepPCF-MVS81.17 189.72 991.38 384.72 12793.00 8058.16 29196.72 794.41 4686.50 690.25 1897.83 175.46 1498.67 2392.78 595.49 1397.32 6
patch_mono-289.71 1090.99 585.85 8996.04 2663.70 19995.04 4195.19 1386.74 591.53 1195.15 5873.86 2197.58 6393.38 392.00 7596.28 32
CANet89.61 1189.99 1188.46 2094.39 4469.71 4396.53 1193.78 6586.89 489.68 1995.78 3465.94 6599.10 992.99 493.91 4496.58 17
DVP-MVScopyleft89.41 1289.73 1388.45 2196.40 1769.99 3396.64 894.52 3971.92 18290.55 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
HPM-MVS++copyleft89.37 1389.95 1287.64 2995.10 3468.23 7595.24 3294.49 4182.43 1888.90 2496.35 2471.89 3398.63 2488.76 3696.40 696.06 36
NCCC89.07 1489.46 1487.91 2496.60 1269.05 5496.38 1394.64 3684.42 1086.74 3496.20 2866.56 6198.76 2289.03 3494.56 3395.92 42
DPE-MVScopyleft88.77 1589.21 1587.45 3696.26 2267.56 9194.17 5594.15 5868.77 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
SMA-MVScopyleft88.14 1688.29 1987.67 2893.21 7468.72 6293.85 7894.03 6174.18 12791.74 996.67 1665.61 7098.42 3289.24 3096.08 795.88 44
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
PS-MVSNAJ88.14 1687.61 2689.71 792.06 10276.72 195.75 1993.26 9283.86 1189.55 2096.06 3153.55 20597.89 4891.10 1893.31 5494.54 97
TSAR-MVS + MP.88.11 1888.64 1686.54 6591.73 11868.04 7990.36 21593.55 7982.89 1491.29 1292.89 12072.27 3096.03 13487.99 4094.77 2595.54 52
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
TSAR-MVS + GP.87.96 1988.37 1886.70 5993.51 6765.32 15295.15 3593.84 6478.17 7285.93 4394.80 7175.80 1398.21 3589.38 2788.78 10896.59 15
DeepC-MVS_fast79.48 287.95 2088.00 2087.79 2795.86 2968.32 7095.74 2094.11 6083.82 1283.49 6996.19 2964.53 8298.44 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
xiu_mvs_v2_base87.92 2187.38 3289.55 1291.41 12976.43 395.74 2093.12 10183.53 1389.55 2095.95 3253.45 20997.68 5491.07 1992.62 6394.54 97
EPNet87.84 2288.38 1786.23 7893.30 7066.05 13395.26 3194.84 2587.09 388.06 2694.53 7666.79 5897.34 7583.89 7891.68 8095.29 63
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
lupinMVS87.74 2387.77 2387.63 3389.24 17171.18 2096.57 1092.90 10982.70 1787.13 3095.27 5164.99 7595.80 13989.34 2891.80 7895.93 41
ETH3D-3000-0.187.61 2487.89 2186.75 5693.58 6467.21 10294.31 5394.14 5972.92 15687.13 3096.62 1767.81 4997.94 4390.13 2494.42 3695.09 75
APDe-MVS87.54 2587.84 2286.65 6096.07 2566.30 12994.84 4693.78 6569.35 23688.39 2596.34 2567.74 5097.66 5890.62 2293.44 5396.01 39
SD-MVS87.49 2687.49 2987.50 3593.60 6368.82 6093.90 7592.63 12076.86 9287.90 2795.76 3566.17 6297.63 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
test_prior387.38 2787.70 2486.42 7094.71 3967.35 9895.10 3793.10 10275.40 10985.25 5395.61 4067.94 4596.84 10787.47 4694.77 2595.05 77
dcpmvs_287.37 2887.55 2886.85 5095.04 3668.20 7690.36 21590.66 19879.37 5281.20 8693.67 10274.73 1596.55 11890.88 2192.00 7595.82 45
alignmvs87.28 2986.97 3788.24 2391.30 13071.14 2295.61 2493.56 7879.30 5387.07 3395.25 5368.43 3996.93 10587.87 4184.33 14896.65 13
Regformer-187.24 3087.60 2786.15 8095.14 3265.83 14193.95 7195.12 1682.11 2284.25 6195.73 3667.88 4898.35 3385.60 6388.64 11194.26 106
train_agg87.21 3187.42 3186.60 6194.18 4667.28 10094.16 5693.51 8071.87 18785.52 4895.33 4668.19 4197.27 8289.09 3194.90 2195.25 70
xxxxxxxxxxxxxcwj87.14 3287.19 3486.99 4893.84 5667.89 8395.05 3984.72 31878.19 7086.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 65
MG-MVS87.11 3386.27 4489.62 897.79 176.27 494.96 4494.49 4178.74 6683.87 6892.94 11764.34 8496.94 10375.19 14094.09 4095.66 48
ETH3D cwj APD-0.1687.06 3487.18 3586.71 5791.99 10867.48 9692.97 11094.21 5571.48 20785.72 4596.32 2668.13 4398.00 4289.06 3294.70 3194.65 93
SF-MVS87.03 3587.09 3686.84 5192.70 8967.45 9793.64 8693.76 6870.78 22086.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 65
agg_prior187.02 3687.26 3386.28 7794.16 5066.97 11194.08 6293.31 9071.85 18984.49 5995.39 4368.91 3896.75 11188.84 3594.32 3895.13 73
Regformer-287.00 3787.43 3085.71 9695.14 3264.73 17093.95 7194.95 2381.69 2784.03 6695.73 3667.35 5298.19 3785.40 6588.64 11194.20 108
CSCG86.87 3886.26 4588.72 1595.05 3570.79 2493.83 8295.33 1168.48 24977.63 12994.35 8573.04 2598.45 2984.92 7093.71 4996.92 11
canonicalmvs86.85 3986.25 4688.66 1891.80 11771.92 1593.54 9191.71 15580.26 4187.55 2895.25 5363.59 9696.93 10588.18 3984.34 14797.11 8
PHI-MVS86.83 4086.85 4086.78 5593.47 6865.55 14895.39 2895.10 1871.77 19385.69 4796.52 1862.07 11198.77 2186.06 6195.60 1296.03 38
SteuartSystems-ACMMP86.82 4186.90 3886.58 6390.42 14566.38 12696.09 1593.87 6377.73 7984.01 6795.66 3863.39 9897.94 4387.40 4893.55 5295.42 53
Skip Steuart: Steuart Systems R&D Blog.
PVSNet_Blended86.73 4286.86 3986.31 7693.76 5867.53 9396.33 1493.61 7682.34 1981.00 9193.08 11263.19 10197.29 7887.08 5291.38 8694.13 114
testtj86.62 4386.66 4186.50 6796.95 865.70 14394.41 5193.45 8467.74 25186.19 3996.39 2364.38 8397.91 4687.33 4993.14 5795.90 43
jason86.40 4486.17 4787.11 4486.16 23470.54 2795.71 2392.19 13682.00 2484.58 5894.34 8661.86 11395.53 15987.76 4290.89 9295.27 67
jason: jason.
WTY-MVS86.32 4585.81 5287.85 2592.82 8569.37 4995.20 3395.25 1282.71 1681.91 7994.73 7267.93 4797.63 6079.55 11082.25 15996.54 18
MSLP-MVS++86.27 4685.91 5187.35 3992.01 10568.97 5795.04 4192.70 11479.04 6181.50 8396.50 2058.98 14496.78 10983.49 8093.93 4396.29 30
VNet86.20 4785.65 5687.84 2693.92 5469.99 3395.73 2295.94 678.43 6886.00 4293.07 11458.22 14897.00 9585.22 6784.33 14896.52 19
MVS_111021_HR86.19 4885.80 5387.37 3893.17 7669.79 4093.99 6793.76 6879.08 6078.88 11793.99 9762.25 11098.15 3885.93 6291.15 9094.15 113
ACMMP_NAP86.05 4985.80 5386.80 5491.58 12267.53 9391.79 16093.49 8374.93 11784.61 5795.30 4859.42 13797.92 4586.13 5894.92 1994.94 82
ETV-MVS86.01 5086.11 4885.70 9790.21 15067.02 11093.43 9691.92 14481.21 3284.13 6594.07 9660.93 12095.63 14989.28 2989.81 10094.46 104
APD-MVScopyleft85.93 5185.99 4985.76 9395.98 2865.21 15593.59 8992.58 12266.54 26286.17 4095.88 3363.83 9097.00 9586.39 5792.94 5995.06 76
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PAPM85.89 5285.46 5787.18 4288.20 19872.42 1492.41 13492.77 11282.11 2280.34 9793.07 11468.27 4095.02 17478.39 12293.59 5194.09 116
Regformer-385.80 5385.92 5085.46 10394.17 4865.09 16392.95 11295.11 1781.13 3381.68 8195.04 5965.82 6798.32 3483.02 8384.36 14592.97 153
CS-MVS85.74 5486.65 4282.98 17192.00 10658.07 29395.32 3091.87 14779.98 4384.86 5595.38 4462.27 10995.52 16086.12 6092.08 7395.36 57
CDPH-MVS85.71 5585.46 5786.46 6894.75 3867.19 10393.89 7692.83 11170.90 21683.09 7295.28 4963.62 9497.36 7380.63 10494.18 3994.84 86
CS-MVS-test85.64 5686.53 4382.99 17092.00 10658.08 29295.38 2991.54 16179.99 4284.86 5594.32 8862.47 10795.52 16086.13 5892.08 7395.37 56
DeepC-MVS77.85 385.52 5785.24 5986.37 7388.80 18166.64 12092.15 14093.68 7381.07 3476.91 13993.64 10362.59 10698.44 3085.50 6492.84 6194.03 120
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
Regformer-485.45 5885.69 5584.73 12594.17 4863.23 20992.95 11294.83 2680.66 3881.29 8495.04 5965.12 7398.08 4082.74 8584.36 14592.88 157
casdiffmvs85.37 5984.87 6586.84 5188.25 19669.07 5393.04 10791.76 15281.27 3180.84 9392.07 13864.23 8596.06 13284.98 6987.43 12195.39 54
ZNCC-MVS85.33 6085.08 6186.06 8193.09 7965.65 14593.89 7693.41 8873.75 13879.94 10194.68 7460.61 12398.03 4182.63 8893.72 4894.52 99
MP-MVS-pluss85.24 6185.13 6085.56 10091.42 12765.59 14791.54 17292.51 12474.56 12080.62 9495.64 3959.15 14197.00 9586.94 5493.80 4594.07 118
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
PAPR85.15 6284.47 6787.18 4296.02 2768.29 7191.85 15893.00 10676.59 9679.03 11395.00 6161.59 11497.61 6278.16 12489.00 10795.63 49
MP-MVScopyleft85.02 6384.97 6385.17 11492.60 9164.27 18793.24 10092.27 12973.13 15079.63 10694.43 7961.90 11297.17 8585.00 6892.56 6494.06 119
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
baseline85.01 6484.44 6986.71 5788.33 19368.73 6190.24 22091.82 15181.05 3581.18 8792.50 12763.69 9396.08 13184.45 7386.71 12995.32 61
#test#84.98 6584.74 6685.72 9493.75 6065.01 16494.09 6193.19 9673.55 14479.22 11094.93 6559.04 14297.67 5582.66 8692.21 6894.49 102
CHOSEN 1792x268884.98 6583.45 7989.57 1189.94 15475.14 592.07 14692.32 12781.87 2575.68 14888.27 18960.18 12698.60 2580.46 10690.27 9994.96 81
EIA-MVS84.84 6784.88 6484.69 12891.30 13062.36 22893.85 7892.04 13979.45 5079.33 10994.28 9062.42 10896.35 12180.05 10791.25 8995.38 55
zzz-MVS84.73 6884.47 6785.50 10191.89 11365.16 15791.55 17192.23 13075.32 11180.53 9595.21 5556.06 17797.16 8684.86 7192.55 6594.18 109
HFP-MVS84.73 6884.40 7085.72 9493.75 6065.01 16493.50 9393.19 9672.19 17679.22 11094.93 6559.04 14297.67 5581.55 9592.21 6894.49 102
MVS84.66 7082.86 9490.06 290.93 13674.56 687.91 26595.54 968.55 24772.35 18594.71 7359.78 13398.90 1881.29 10194.69 3296.74 12
GST-MVS84.63 7184.29 7185.66 9892.82 8565.27 15393.04 10793.13 10073.20 14878.89 11494.18 9359.41 13897.85 5081.45 9792.48 6793.86 128
DROMVSNet84.53 7285.04 6283.01 16989.34 16661.37 24694.42 5091.09 18377.91 7683.24 7094.20 9258.37 14795.40 16385.35 6691.41 8592.27 173
ACMMPR84.37 7384.06 7285.28 11093.56 6564.37 18293.50 9393.15 9972.19 17678.85 11994.86 6956.69 16997.45 6781.55 9592.20 7094.02 121
region2R84.36 7484.03 7385.36 10893.54 6664.31 18493.43 9692.95 10772.16 17978.86 11894.84 7056.97 16497.53 6581.38 9992.11 7294.24 107
LFMVS84.34 7582.73 9789.18 1394.76 3773.25 1094.99 4391.89 14671.90 18482.16 7893.49 10747.98 25597.05 9082.55 8984.82 14197.25 7
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 10281.76 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 10281.76 16396.23 33
diffmvs84.28 7683.83 7485.61 9987.40 21468.02 8090.88 20089.24 24880.54 3981.64 8292.52 12659.83 13294.52 19587.32 5085.11 13994.29 105
HY-MVS76.49 584.28 7683.36 8587.02 4792.22 9967.74 8784.65 28894.50 4079.15 5782.23 7787.93 19666.88 5696.94 10380.53 10582.20 16096.39 28
MAR-MVS84.18 8083.43 8086.44 6996.25 2365.93 13894.28 5494.27 5474.41 12179.16 11295.61 4053.99 20098.88 2069.62 18893.26 5594.50 101
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
MVS_Test84.16 8183.20 8687.05 4691.56 12369.82 3989.99 22992.05 13877.77 7882.84 7386.57 21163.93 8996.09 12974.91 14689.18 10695.25 70
CANet_DTU84.09 8283.52 7685.81 9090.30 14866.82 11591.87 15689.01 26185.27 786.09 4193.74 10147.71 25896.98 9977.90 12789.78 10293.65 133
ET-MVSNet_ETH3D84.01 8383.15 8986.58 6390.78 14270.89 2394.74 4794.62 3781.44 3058.19 30893.64 10373.64 2492.35 26982.66 8678.66 18696.50 23
PVSNet_Blended_VisFu83.97 8483.50 7785.39 10790.02 15266.59 12393.77 8391.73 15377.43 8777.08 13889.81 17463.77 9296.97 10079.67 10988.21 11492.60 161
DWT-MVSNet_test83.95 8582.80 9587.41 3792.90 8270.07 3289.12 24794.42 4582.15 2177.64 12891.77 14270.81 3596.22 12465.03 23481.36 16795.94 40
MTAPA83.91 8683.38 8485.50 10191.89 11365.16 15781.75 30892.23 13075.32 11180.53 9595.21 5556.06 17797.16 8684.86 7192.55 6594.18 109
XVS83.87 8783.47 7885.05 11593.22 7263.78 19492.92 11492.66 11773.99 13078.18 12394.31 8955.25 18397.41 7079.16 11391.58 8293.95 123
Effi-MVS+83.82 8882.76 9686.99 4889.56 16269.40 4691.35 18286.12 30772.59 16183.22 7192.81 12459.60 13596.01 13681.76 9387.80 11895.56 51
EI-MVSNet-Vis-set83.77 8983.67 7584.06 14592.79 8863.56 20591.76 16394.81 2879.65 4977.87 12594.09 9463.35 9997.90 4779.35 11179.36 17890.74 196
MVSFormer83.75 9082.88 9386.37 7389.24 17171.18 2089.07 24890.69 19565.80 26787.13 3094.34 8664.99 7592.67 25572.83 15791.80 7895.27 67
CP-MVS83.71 9183.40 8384.65 12993.14 7763.84 19294.59 4892.28 12871.03 21477.41 13294.92 6755.21 18696.19 12581.32 10090.70 9493.91 125
baseline283.68 9283.42 8284.48 13587.37 21566.00 13590.06 22495.93 779.71 4869.08 22190.39 16477.92 696.28 12278.91 11781.38 16691.16 192
thisisatest051583.41 9382.49 10186.16 7989.46 16568.26 7393.54 9194.70 3374.31 12475.75 14690.92 15372.62 2896.52 11969.64 18681.50 16593.71 131
PVSNet_BlendedMVS83.38 9483.43 8083.22 16693.76 5867.53 9394.06 6393.61 7679.13 5881.00 9185.14 22563.19 10197.29 7887.08 5273.91 21784.83 286
test250683.29 9582.92 9284.37 13888.39 19163.18 21292.01 14991.35 17177.66 8178.49 12291.42 14764.58 8195.09 17273.19 15389.23 10494.85 83
PGM-MVS83.25 9682.70 9884.92 11992.81 8764.07 19090.44 21192.20 13571.28 20977.23 13594.43 7955.17 18797.31 7779.33 11291.38 8693.37 138
HPM-MVScopyleft83.25 9682.95 9184.17 14392.25 9862.88 22190.91 19791.86 14870.30 22577.12 13693.96 9856.75 16796.28 12282.04 9191.34 8893.34 139
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
EI-MVSNet-UG-set83.14 9882.96 9083.67 15692.28 9763.19 21191.38 18094.68 3479.22 5576.60 14193.75 10062.64 10597.76 5378.07 12578.01 18990.05 204
VDD-MVS83.06 9981.81 11086.81 5390.86 14067.70 8895.40 2791.50 16575.46 10681.78 8092.34 13440.09 29397.13 8886.85 5582.04 16195.60 50
h-mvs3383.01 10082.56 10084.35 13989.34 16662.02 23392.72 11993.76 6881.45 2882.73 7492.25 13660.11 12797.13 8887.69 4362.96 29093.91 125
PAPM_NR82.97 10181.84 10886.37 7394.10 5266.76 11887.66 26992.84 11069.96 22974.07 16493.57 10563.10 10397.50 6670.66 18190.58 9694.85 83
mPP-MVS82.96 10282.44 10284.52 13392.83 8362.92 21992.76 11791.85 14971.52 20475.61 15194.24 9153.48 20896.99 9878.97 11690.73 9393.64 134
SR-MVS82.81 10382.58 9983.50 16193.35 6961.16 24992.23 13991.28 17564.48 27581.27 8595.28 4953.71 20495.86 13882.87 8488.77 10993.49 137
DP-MVS Recon82.73 10481.65 11185.98 8397.31 467.06 10795.15 3591.99 14169.08 24276.50 14393.89 9954.48 19598.20 3670.76 17985.66 13692.69 158
CLD-MVS82.73 10482.35 10483.86 14987.90 20567.65 9095.45 2692.18 13785.06 872.58 17892.27 13552.46 21595.78 14084.18 7479.06 18188.16 228
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
sss82.71 10682.38 10383.73 15389.25 17059.58 27692.24 13894.89 2477.96 7479.86 10392.38 13256.70 16897.05 9077.26 13080.86 17194.55 95
3Dnovator73.91 682.69 10780.82 12188.31 2289.57 16171.26 1992.60 12794.39 4978.84 6367.89 24092.48 13048.42 25098.52 2668.80 19894.40 3795.15 72
MVSTER82.47 10882.05 10583.74 15192.68 9069.01 5591.90 15593.21 9379.83 4472.14 18685.71 22174.72 1694.72 18475.72 13772.49 22787.50 233
TESTMET0.1,182.41 10981.98 10783.72 15488.08 19963.74 19692.70 12193.77 6779.30 5377.61 13087.57 20158.19 14994.08 20973.91 15186.68 13093.33 141
CostFormer82.33 11081.15 11585.86 8889.01 17668.46 6782.39 30693.01 10475.59 10480.25 9881.57 26672.03 3294.96 17679.06 11577.48 19894.16 112
API-MVS82.28 11180.53 12787.54 3496.13 2470.59 2693.63 8791.04 18865.72 26975.45 15392.83 12356.11 17698.89 1964.10 23989.75 10393.15 147
IB-MVS77.80 482.18 11280.46 12987.35 3989.14 17370.28 3095.59 2595.17 1578.85 6270.19 20885.82 21970.66 3697.67 5572.19 16866.52 26694.09 116
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
xiu_mvs_v1_base_debu82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8138.04 30495.73 14384.12 7586.81 12491.33 186
xiu_mvs_v1_base82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8138.04 30495.73 14384.12 7586.81 12491.33 186
xiu_mvs_v1_base_debi82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8138.04 30495.73 14384.12 7586.81 12491.33 186
3Dnovator+73.60 782.10 11680.60 12686.60 6190.89 13966.80 11795.20 3393.44 8674.05 12967.42 24692.49 12949.46 24097.65 5970.80 17891.68 8095.33 59
MVS_111021_LR82.02 11781.52 11283.51 16088.42 18962.88 22189.77 23288.93 26376.78 9475.55 15293.10 11050.31 23295.38 16583.82 7987.02 12392.26 174
PMMVS81.98 11882.04 10681.78 20489.76 15856.17 31191.13 19390.69 19577.96 7480.09 10093.57 10546.33 26894.99 17581.41 9887.46 12094.17 111
test117281.90 11981.83 10982.13 19693.23 7157.52 30191.61 17090.98 19064.32 27780.20 9995.00 6151.26 22595.61 15181.73 9488.13 11593.26 143
baseline181.84 12081.03 12084.28 14291.60 12166.62 12191.08 19491.66 15881.87 2574.86 15691.67 14669.98 3794.92 17971.76 17264.75 27991.29 191
EPP-MVSNet81.79 12181.52 11282.61 18088.77 18260.21 26893.02 10993.66 7568.52 24872.90 17390.39 16472.19 3194.96 17674.93 14579.29 18092.67 159
APD-MVS_3200maxsize81.64 12281.32 11482.59 18192.36 9458.74 28591.39 17891.01 18963.35 28379.72 10594.62 7551.82 21896.14 12779.71 10887.93 11792.89 156
ACMMPcopyleft81.49 12380.67 12483.93 14891.71 11962.90 22092.13 14192.22 13471.79 19271.68 19493.49 10750.32 23196.96 10178.47 12184.22 15291.93 177
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
CDS-MVSNet81.43 12480.74 12283.52 15986.26 23264.45 17692.09 14490.65 19975.83 10373.95 16689.81 17463.97 8892.91 24571.27 17582.82 15693.20 146
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
mvs_anonymous81.36 12579.99 13585.46 10390.39 14768.40 6886.88 27990.61 20074.41 12170.31 20784.67 23163.79 9192.32 27073.13 15485.70 13595.67 47
ECVR-MVScopyleft81.29 12680.38 13084.01 14788.39 19161.96 23592.56 13286.79 29977.66 8176.63 14091.42 14746.34 26795.24 17074.36 15089.23 10494.85 83
112181.25 12780.05 13284.87 12292.30 9664.31 18487.91 26591.39 16959.44 31579.94 10192.91 11857.09 15897.01 9366.63 21392.81 6293.29 142
thisisatest053081.15 12880.07 13184.39 13788.26 19565.63 14691.40 17694.62 3771.27 21070.93 19989.18 17872.47 2996.04 13365.62 22876.89 20491.49 182
Fast-Effi-MVS+81.14 12980.01 13484.51 13490.24 14965.86 13994.12 6089.15 25473.81 13775.37 15488.26 19057.26 15694.53 19466.97 21284.92 14093.15 147
HQP-MVS81.14 12980.64 12582.64 17987.54 21063.66 20294.06 6391.70 15679.80 4574.18 16090.30 16651.63 22295.61 15177.63 12878.90 18288.63 218
hse-mvs281.12 13181.11 11981.16 21986.52 22757.48 30289.40 24091.16 17881.45 2882.73 7490.49 16260.11 12794.58 18887.69 4360.41 31791.41 185
SR-MVS-dyc-post81.06 13280.70 12382.15 19492.02 10358.56 28790.90 19890.45 20162.76 28978.89 11494.46 7751.26 22595.61 15178.77 11986.77 12792.28 170
HyFIR lowres test81.03 13379.56 14385.43 10587.81 20768.11 7890.18 22190.01 22570.65 22272.95 17286.06 21763.61 9594.50 19675.01 14479.75 17693.67 132
nrg03080.93 13479.86 13784.13 14483.69 27268.83 5993.23 10191.20 17675.55 10575.06 15588.22 19363.04 10494.74 18381.88 9266.88 26388.82 216
Vis-MVSNetpermissive80.92 13579.98 13683.74 15188.48 18661.80 23793.44 9588.26 28373.96 13377.73 12691.76 14349.94 23694.76 18165.84 22590.37 9894.65 93
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
test111180.84 13680.02 13383.33 16487.87 20660.76 25792.62 12686.86 29877.86 7775.73 14791.39 14946.35 26694.70 18772.79 15988.68 11094.52 99
131480.70 13778.95 15585.94 8587.77 20867.56 9187.91 26592.55 12372.17 17867.44 24593.09 11150.27 23397.04 9271.68 17487.64 11993.23 145
RRT_test8_iter0580.61 13879.62 14183.60 15891.87 11666.90 11393.42 9893.68 7377.09 9068.83 22785.63 22266.82 5795.42 16276.46 13562.74 29388.48 221
tpmrst80.57 13979.14 15484.84 12390.10 15168.28 7281.70 30989.72 23677.63 8375.96 14579.54 29764.94 7792.71 25275.43 13877.28 20193.55 135
1112_ss80.56 14079.83 13882.77 17588.65 18360.78 25592.29 13688.36 27872.58 16272.46 18294.95 6365.09 7493.42 23366.38 21977.71 19194.10 115
VDDNet80.50 14178.26 16287.21 4186.19 23369.79 4094.48 4991.31 17260.42 30779.34 10890.91 15438.48 30096.56 11782.16 9081.05 16995.27 67
BH-w/o80.49 14279.30 15084.05 14690.83 14164.36 18393.60 8889.42 24374.35 12369.09 22090.15 16955.23 18595.61 15164.61 23686.43 13392.17 175
TAMVS80.37 14379.45 14683.13 16885.14 24963.37 20691.23 18790.76 19474.81 11972.65 17688.49 18460.63 12292.95 24069.41 19081.95 16293.08 150
HQP_MVS80.34 14479.75 13982.12 19786.94 22162.42 22693.13 10391.31 17278.81 6472.53 17989.14 18050.66 22995.55 15776.74 13178.53 18788.39 224
HPM-MVS_fast80.25 14579.55 14582.33 18791.55 12459.95 27191.32 18489.16 25365.23 27374.71 15793.07 11447.81 25795.74 14274.87 14888.23 11391.31 190
ab-mvs80.18 14678.31 16185.80 9188.44 18865.49 15183.00 30392.67 11671.82 19177.36 13385.01 22654.50 19296.59 11476.35 13675.63 21095.32 61
IS-MVSNet80.14 14779.41 14782.33 18787.91 20460.08 27091.97 15388.27 28172.90 15771.44 19691.73 14561.44 11593.66 22862.47 25286.53 13193.24 144
test-LLR80.10 14879.56 14381.72 20686.93 22361.17 24792.70 12191.54 16171.51 20575.62 14986.94 20853.83 20192.38 26672.21 16684.76 14391.60 180
PVSNet73.49 880.05 14978.63 15784.31 14090.92 13764.97 16692.47 13391.05 18779.18 5672.43 18390.51 16137.05 31694.06 21168.06 20186.00 13493.90 127
UA-Net80.02 15079.65 14081.11 22289.33 16857.72 29786.33 28289.00 26277.44 8681.01 9089.15 17959.33 13995.90 13761.01 25984.28 15089.73 208
test-mter79.96 15179.38 14981.72 20686.93 22361.17 24792.70 12191.54 16173.85 13575.62 14986.94 20849.84 23892.38 26672.21 16684.76 14391.60 180
QAPM79.95 15277.39 18187.64 2989.63 16071.41 1893.30 9993.70 7265.34 27267.39 24891.75 14447.83 25698.96 1657.71 27489.81 10092.54 163
UGNet79.87 15378.68 15683.45 16389.96 15361.51 24392.13 14190.79 19376.83 9378.85 11986.33 21438.16 30296.17 12667.93 20387.17 12292.67 159
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
abl_679.82 15479.20 15281.70 20889.85 15558.34 28988.47 25890.07 22062.56 29277.71 12793.08 11247.65 25996.78 10977.94 12685.45 13889.99 205
tpm279.80 15577.95 16885.34 10988.28 19468.26 7381.56 31191.42 16870.11 22777.59 13180.50 28467.40 5194.26 20467.34 20877.35 19993.51 136
thres20079.66 15678.33 16083.66 15792.54 9265.82 14293.06 10596.31 374.90 11873.30 16988.66 18259.67 13495.61 15147.84 31078.67 18589.56 211
test_part179.63 15777.86 17184.93 11892.50 9371.43 1794.15 5891.08 18572.51 16470.66 20084.98 22759.84 13195.07 17372.07 16962.94 29188.30 227
CPTT-MVS79.59 15879.16 15380.89 23191.54 12559.80 27392.10 14388.54 27660.42 30772.96 17193.28 10948.27 25192.80 24978.89 11886.50 13290.06 203
Test_1112_low_res79.56 15978.60 15882.43 18388.24 19760.39 26592.09 14487.99 28772.10 18071.84 19087.42 20364.62 8093.04 23765.80 22677.30 20093.85 129
tttt051779.50 16078.53 15982.41 18687.22 21761.43 24589.75 23394.76 3069.29 23767.91 23988.06 19572.92 2695.63 14962.91 24873.90 21890.16 202
FIs79.47 16179.41 14779.67 25485.95 23759.40 27891.68 16793.94 6278.06 7368.96 22488.28 18866.61 6091.77 28166.20 22274.99 21187.82 230
BH-RMVSNet79.46 16277.65 17384.89 12091.68 12065.66 14493.55 9088.09 28572.93 15573.37 16891.12 15246.20 27096.12 12856.28 27985.61 13792.91 155
PCF-MVS73.15 979.29 16377.63 17484.29 14186.06 23565.96 13787.03 27591.10 18269.86 23169.79 21690.64 15757.54 15596.59 11464.37 23882.29 15890.32 200
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Vis-MVSNet (Re-imp)79.24 16479.57 14278.24 27488.46 18752.29 33090.41 21389.12 25674.24 12669.13 21991.91 14065.77 6890.09 30559.00 27188.09 11692.33 167
114514_t79.17 16577.67 17283.68 15595.32 3165.53 14992.85 11691.60 16063.49 28267.92 23890.63 15946.65 26395.72 14767.01 21183.54 15389.79 206
VPA-MVSNet79.03 16678.00 16682.11 20085.95 23764.48 17593.22 10294.66 3575.05 11674.04 16584.95 22852.17 21793.52 23074.90 14767.04 26288.32 226
OPM-MVS79.00 16778.09 16481.73 20583.52 27563.83 19391.64 16990.30 21176.36 9971.97 18989.93 17346.30 26995.17 17175.10 14177.70 19286.19 260
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EI-MVSNet78.97 16878.22 16381.25 21685.33 24562.73 22489.53 23793.21 9372.39 17072.14 18690.13 17060.99 11894.72 18467.73 20572.49 22786.29 257
AdaColmapbinary78.94 16977.00 18684.76 12496.34 1965.86 13992.66 12587.97 28862.18 29570.56 20192.37 13343.53 28297.35 7464.50 23782.86 15591.05 194
GeoE78.90 17077.43 17783.29 16588.95 17762.02 23392.31 13586.23 30570.24 22671.34 19789.27 17754.43 19694.04 21463.31 24480.81 17293.81 130
miper_enhance_ethall78.86 17177.97 16781.54 21088.00 20365.17 15691.41 17489.15 25475.19 11468.79 22883.98 23867.17 5392.82 24772.73 16065.30 27086.62 253
VPNet78.82 17277.53 17682.70 17784.52 25966.44 12593.93 7392.23 13080.46 4072.60 17788.38 18749.18 24493.13 23672.47 16463.97 28788.55 220
EPNet_dtu78.80 17379.26 15177.43 28288.06 20049.71 34391.96 15491.95 14377.67 8076.56 14291.28 15158.51 14690.20 30356.37 27880.95 17092.39 165
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
tfpn200view978.79 17477.43 17782.88 17392.21 10064.49 17392.05 14796.28 473.48 14571.75 19288.26 19060.07 12995.32 16645.16 32077.58 19488.83 214
TR-MVS78.77 17577.37 18282.95 17290.49 14460.88 25393.67 8590.07 22070.08 22874.51 15891.37 15045.69 27195.70 14860.12 26580.32 17392.29 169
mvs-test178.74 17677.95 16881.14 22083.22 27757.13 30693.96 6887.78 28975.42 10772.68 17590.80 15645.08 27594.54 19375.08 14277.49 19791.74 179
thres40078.68 17777.43 17782.43 18392.21 10064.49 17392.05 14796.28 473.48 14571.75 19288.26 19060.07 12995.32 16645.16 32077.58 19487.48 234
BH-untuned78.68 17777.08 18383.48 16289.84 15663.74 19692.70 12188.59 27471.57 20266.83 25488.65 18351.75 22095.39 16459.03 27084.77 14291.32 189
OMC-MVS78.67 17977.91 17080.95 22985.76 24157.40 30488.49 25788.67 27173.85 13572.43 18392.10 13749.29 24394.55 19272.73 16077.89 19090.91 195
tpm78.58 18077.03 18483.22 16685.94 23964.56 17183.21 30191.14 18178.31 6973.67 16779.68 29564.01 8792.09 27566.07 22371.26 23793.03 151
OpenMVScopyleft70.45 1178.54 18175.92 20086.41 7285.93 24071.68 1692.74 11892.51 12466.49 26364.56 26991.96 13943.88 28198.10 3954.61 28390.65 9589.44 212
EPMVS78.49 18275.98 19986.02 8291.21 13269.68 4480.23 32191.20 17675.25 11372.48 18178.11 30554.65 19193.69 22757.66 27583.04 15494.69 89
AUN-MVS78.37 18377.43 17781.17 21886.60 22657.45 30389.46 23991.16 17874.11 12874.40 15990.49 16255.52 18294.57 18974.73 14960.43 31691.48 183
thres100view90078.37 18377.01 18582.46 18291.89 11363.21 21091.19 19196.33 172.28 17370.45 20487.89 19760.31 12495.32 16645.16 32077.58 19488.83 214
GA-MVS78.33 18576.23 19684.65 12983.65 27366.30 12991.44 17390.14 21876.01 10170.32 20684.02 23742.50 28594.72 18470.98 17677.00 20392.94 154
cascas78.18 18675.77 20285.41 10687.14 21969.11 5292.96 11191.15 18066.71 26170.47 20286.07 21637.49 31096.48 12070.15 18479.80 17590.65 197
UniMVSNet_NR-MVSNet78.15 18777.55 17579.98 24584.46 26160.26 26692.25 13793.20 9577.50 8568.88 22586.61 21066.10 6392.13 27366.38 21962.55 29487.54 232
thres600view778.00 18876.66 19082.03 20291.93 11063.69 20091.30 18596.33 172.43 16870.46 20387.89 19760.31 12494.92 17942.64 33276.64 20587.48 234
FC-MVSNet-test77.99 18978.08 16577.70 27784.89 25455.51 31690.27 21893.75 7176.87 9166.80 25587.59 20065.71 6990.23 30262.89 24973.94 21687.37 237
Anonymous20240521177.96 19075.33 20685.87 8793.73 6264.52 17294.85 4585.36 31362.52 29376.11 14490.18 16829.43 34197.29 7868.51 19977.24 20295.81 46
cl2277.94 19176.78 18881.42 21287.57 20964.93 16890.67 20688.86 26672.45 16767.63 24482.68 25164.07 8692.91 24571.79 17065.30 27086.44 254
XXY-MVS77.94 19176.44 19382.43 18382.60 28364.44 17792.01 14991.83 15073.59 14370.00 21185.82 21954.43 19694.76 18169.63 18768.02 25688.10 229
MS-PatchMatch77.90 19376.50 19282.12 19785.99 23669.95 3691.75 16592.70 11473.97 13262.58 28884.44 23441.11 29095.78 14063.76 24292.17 7180.62 330
FMVSNet377.73 19476.04 19882.80 17491.20 13368.99 5691.87 15691.99 14173.35 14767.04 25183.19 24756.62 17092.14 27259.80 26769.34 24587.28 240
miper_ehance_all_eth77.60 19576.44 19381.09 22685.70 24264.41 18090.65 20788.64 27372.31 17167.37 24982.52 25264.77 7992.64 25870.67 18065.30 27086.24 259
UniMVSNet (Re)77.58 19676.78 18879.98 24584.11 26760.80 25491.76 16393.17 9876.56 9769.93 21484.78 23063.32 10092.36 26864.89 23562.51 29686.78 247
PatchmatchNetpermissive77.46 19774.63 21285.96 8489.55 16370.35 2979.97 32589.55 23972.23 17570.94 19876.91 31657.03 16092.79 25054.27 28581.17 16894.74 88
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v2v48277.42 19875.65 20482.73 17680.38 30067.13 10691.85 15890.23 21575.09 11569.37 21783.39 24553.79 20394.44 19771.77 17165.00 27686.63 252
RRT_MVS77.38 19976.59 19179.77 25290.91 13863.61 20491.15 19290.91 19172.28 17372.06 18887.28 20643.92 28089.04 31273.32 15267.47 26086.67 248
CHOSEN 280x42077.35 20076.95 18778.55 26987.07 22062.68 22569.71 34882.95 33468.80 24471.48 19587.27 20766.03 6484.00 34276.47 13482.81 15788.95 213
PS-MVSNAJss77.26 20176.31 19580.13 24280.64 29859.16 28290.63 21091.06 18672.80 15868.58 23284.57 23353.55 20593.96 21972.97 15571.96 23187.27 241
gg-mvs-nofinetune77.18 20274.31 21985.80 9191.42 12768.36 6971.78 34294.72 3249.61 34677.12 13645.92 36377.41 893.98 21867.62 20693.16 5695.05 77
MVP-Stereo77.12 20376.23 19679.79 25181.72 28966.34 12889.29 24190.88 19270.56 22362.01 29182.88 24849.34 24194.13 20665.55 23093.80 4578.88 343
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
X-MVStestdata76.86 20474.13 22485.05 11593.22 7263.78 19492.92 11492.66 11773.99 13078.18 12310.19 37555.25 18397.41 7079.16 11391.58 8293.95 123
DU-MVS76.86 20475.84 20179.91 24782.96 28160.26 26691.26 18691.54 16176.46 9868.88 22586.35 21256.16 17492.13 27366.38 21962.55 29487.35 238
Anonymous2024052976.84 20674.15 22384.88 12191.02 13464.95 16793.84 8191.09 18353.57 33673.00 17087.42 20335.91 32097.32 7669.14 19472.41 22992.36 166
c3_l76.83 20775.47 20580.93 23085.02 25264.18 18990.39 21488.11 28471.66 19566.65 25681.64 26463.58 9792.56 25969.31 19262.86 29286.04 265
WR-MVS76.76 20875.74 20379.82 25084.60 25762.27 23192.60 12792.51 12476.06 10067.87 24185.34 22356.76 16690.24 30162.20 25363.69 28986.94 245
v114476.73 20974.88 20982.27 18980.23 30566.60 12291.68 16790.21 21773.69 14069.06 22281.89 25952.73 21394.40 19869.21 19365.23 27385.80 271
IterMVS-LS76.49 21075.18 20880.43 23584.49 26062.74 22390.64 20888.80 26772.40 16965.16 26481.72 26260.98 11992.27 27167.74 20464.65 28186.29 257
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
V4276.46 21174.55 21582.19 19379.14 31767.82 8590.26 21989.42 24373.75 13868.63 23181.89 25951.31 22494.09 20871.69 17364.84 27784.66 287
v14876.19 21274.47 21781.36 21380.05 30664.44 17791.75 16590.23 21573.68 14167.13 25080.84 27955.92 18093.86 22568.95 19661.73 30585.76 274
Effi-MVS+-dtu76.14 21375.28 20778.72 26883.22 27755.17 31889.87 23087.78 28975.42 10767.98 23781.43 26845.08 27592.52 26175.08 14271.63 23288.48 221
cl____76.07 21474.67 21080.28 23885.15 24861.76 23990.12 22288.73 26971.16 21165.43 26181.57 26661.15 11692.95 24066.54 21662.17 29886.13 263
DIV-MVS_self_test76.07 21474.67 21080.28 23885.14 24961.75 24090.12 22288.73 26971.16 21165.42 26281.60 26561.15 11692.94 24466.54 21662.16 30086.14 261
FMVSNet276.07 21474.01 22682.26 19188.85 17867.66 8991.33 18391.61 15970.84 21765.98 25882.25 25548.03 25292.00 27758.46 27268.73 25187.10 242
v14419276.05 21774.03 22582.12 19779.50 31166.55 12491.39 17889.71 23772.30 17268.17 23581.33 27151.75 22094.03 21667.94 20264.19 28385.77 272
NR-MVSNet76.05 21774.59 21380.44 23482.96 28162.18 23290.83 20291.73 15377.12 8960.96 29486.35 21259.28 14091.80 28060.74 26061.34 30987.35 238
v119275.98 21973.92 22782.15 19479.73 30766.24 13191.22 18889.75 23172.67 16068.49 23381.42 26949.86 23794.27 20267.08 21065.02 27585.95 268
eth_miper_zixun_eth75.96 22074.40 21880.66 23284.66 25663.02 21489.28 24288.27 28171.88 18665.73 25981.65 26359.45 13692.81 24868.13 20060.53 31486.14 261
bset_n11_16_dypcd75.95 22174.16 22281.30 21576.91 33665.14 15988.89 25087.48 29274.30 12569.90 21583.40 24442.16 28892.42 26478.39 12266.03 26786.32 256
TranMVSNet+NR-MVSNet75.86 22274.52 21679.89 24882.44 28460.64 26291.37 18191.37 17076.63 9567.65 24386.21 21552.37 21691.55 28561.84 25560.81 31287.48 234
SCA75.82 22372.76 23885.01 11786.63 22570.08 3181.06 31589.19 25171.60 20170.01 21077.09 31445.53 27290.25 29860.43 26273.27 22094.68 90
LPG-MVS_test75.82 22374.58 21479.56 25884.31 26459.37 27990.44 21189.73 23469.49 23464.86 26588.42 18538.65 29894.30 20072.56 16272.76 22485.01 284
GBi-Net75.65 22573.83 22881.10 22388.85 17865.11 16090.01 22690.32 20770.84 21767.04 25180.25 28948.03 25291.54 28659.80 26769.34 24586.64 249
test175.65 22573.83 22881.10 22388.85 17865.11 16090.01 22690.32 20770.84 21767.04 25180.25 28948.03 25291.54 28659.80 26769.34 24586.64 249
v192192075.63 22773.49 23282.06 20179.38 31266.35 12791.07 19689.48 24071.98 18167.99 23681.22 27449.16 24693.90 22266.56 21564.56 28285.92 270
ACMP71.68 1075.58 22874.23 22179.62 25684.97 25359.64 27490.80 20389.07 25970.39 22462.95 28487.30 20538.28 30193.87 22372.89 15671.45 23585.36 280
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
v875.35 22973.26 23481.61 20980.67 29766.82 11589.54 23689.27 24771.65 19663.30 28280.30 28854.99 18994.06 21167.33 20962.33 29783.94 292
tpm cat175.30 23072.21 24684.58 13288.52 18467.77 8678.16 33488.02 28661.88 30068.45 23476.37 32060.65 12194.03 21653.77 28874.11 21491.93 177
PLCcopyleft68.80 1475.23 23173.68 23079.86 24992.93 8158.68 28690.64 20888.30 27960.90 30464.43 27390.53 16042.38 28694.57 18956.52 27776.54 20686.33 255
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v124075.21 23272.98 23681.88 20379.20 31466.00 13590.75 20589.11 25771.63 20067.41 24781.22 27447.36 26093.87 22365.46 23164.72 28085.77 272
Fast-Effi-MVS+-dtu75.04 23373.37 23380.07 24380.86 29459.52 27791.20 19085.38 31271.90 18465.20 26384.84 22941.46 28992.97 23966.50 21872.96 22387.73 231
dp75.01 23472.09 24783.76 15089.28 16966.22 13279.96 32689.75 23171.16 21167.80 24277.19 31351.81 21992.54 26050.39 29671.44 23692.51 164
TAPA-MVS70.22 1274.94 23573.53 23179.17 26390.40 14652.07 33189.19 24589.61 23862.69 29170.07 20992.67 12548.89 24994.32 19938.26 34679.97 17491.12 193
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v1074.77 23672.54 24381.46 21180.33 30366.71 11989.15 24689.08 25870.94 21563.08 28379.86 29352.52 21494.04 21465.70 22762.17 29883.64 294
XVG-OURS-SEG-HR74.70 23773.08 23579.57 25778.25 32757.33 30580.49 31787.32 29463.22 28568.76 22990.12 17244.89 27791.59 28470.55 18274.09 21589.79 206
ACMM69.62 1374.34 23872.73 23979.17 26384.25 26657.87 29590.36 21589.93 22663.17 28665.64 26086.04 21837.79 30894.10 20765.89 22471.52 23485.55 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA74.31 23972.30 24580.32 23691.49 12661.66 24190.85 20180.72 34056.67 32963.85 27790.64 15746.75 26290.84 29353.79 28775.99 20988.47 223
XVG-OURS74.25 24072.46 24479.63 25578.45 32657.59 30080.33 31987.39 29363.86 28068.76 22989.62 17640.50 29291.72 28269.00 19574.25 21389.58 209
CVMVSNet74.04 24174.27 22073.33 31385.33 24543.94 35989.53 23788.39 27754.33 33570.37 20590.13 17049.17 24584.05 34061.83 25679.36 17891.99 176
Baseline_NR-MVSNet73.99 24272.83 23777.48 28180.78 29559.29 28191.79 16084.55 32168.85 24368.99 22380.70 28056.16 17492.04 27662.67 25060.98 31181.11 324
pmmvs473.92 24371.81 25080.25 24079.17 31565.24 15487.43 27287.26 29667.64 25563.46 28083.91 23948.96 24891.53 28962.94 24765.49 26983.96 291
D2MVS73.80 24472.02 24879.15 26579.15 31662.97 21588.58 25690.07 22072.94 15459.22 30278.30 30242.31 28792.70 25465.59 22972.00 23081.79 321
CR-MVSNet73.79 24570.82 25782.70 17783.15 27967.96 8170.25 34584.00 32673.67 14269.97 21272.41 33557.82 15289.48 30952.99 29173.13 22190.64 198
test_djsdf73.76 24672.56 24277.39 28377.00 33553.93 32389.07 24890.69 19565.80 26763.92 27582.03 25843.14 28492.67 25572.83 15768.53 25285.57 276
pmmvs573.35 24771.52 25278.86 26778.64 32460.61 26391.08 19486.90 29767.69 25263.32 28183.64 24044.33 27990.53 29562.04 25466.02 26885.46 278
Anonymous2023121173.08 24870.39 25981.13 22190.62 14363.33 20791.40 17690.06 22351.84 34064.46 27280.67 28236.49 31894.07 21063.83 24164.17 28485.98 267
miper_lstm_enhance73.05 24971.73 25177.03 28783.80 27058.32 29081.76 30788.88 26469.80 23261.01 29378.23 30457.19 15787.51 32765.34 23259.53 31985.27 283
jajsoiax73.05 24971.51 25377.67 27877.46 33254.83 31988.81 25290.04 22469.13 24162.85 28683.51 24231.16 33692.75 25170.83 17769.80 24185.43 279
LCM-MVSNet-Re72.93 25171.84 24976.18 29688.49 18548.02 34880.07 32470.17 36073.96 13352.25 33080.09 29249.98 23588.24 31867.35 20784.23 15192.28 170
pm-mvs172.89 25271.09 25578.26 27379.10 31857.62 29990.80 20389.30 24667.66 25362.91 28581.78 26149.11 24792.95 24060.29 26458.89 32284.22 290
tpmvs72.88 25369.76 26582.22 19290.98 13567.05 10878.22 33388.30 27963.10 28764.35 27474.98 32755.09 18894.27 20243.25 32669.57 24485.34 281
test0.0.03 172.76 25472.71 24072.88 31780.25 30447.99 34991.22 18889.45 24171.51 20562.51 28987.66 19953.83 20185.06 33750.16 29767.84 25985.58 275
UniMVSNet_ETH3D72.74 25570.53 25879.36 26078.62 32556.64 30985.01 28689.20 25063.77 28164.84 26784.44 23434.05 32591.86 27963.94 24070.89 23989.57 210
mvs_tets72.71 25671.11 25477.52 27977.41 33354.52 32188.45 25989.76 23068.76 24662.70 28783.26 24629.49 34092.71 25270.51 18369.62 24385.34 281
FMVSNet172.71 25669.91 26381.10 22383.60 27465.11 16090.01 22690.32 20763.92 27963.56 27980.25 28936.35 31991.54 28654.46 28466.75 26486.64 249
IterMVS72.65 25870.83 25678.09 27582.17 28562.96 21687.64 27086.28 30371.56 20360.44 29678.85 30045.42 27486.66 33163.30 24561.83 30284.65 288
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PatchMatch-RL72.06 25969.98 26078.28 27289.51 16455.70 31583.49 29583.39 33261.24 30363.72 27882.76 24934.77 32393.03 23853.37 29077.59 19386.12 264
PVSNet_068.08 1571.81 26068.32 27282.27 18984.68 25562.31 23088.68 25490.31 21075.84 10257.93 31380.65 28337.85 30794.19 20569.94 18529.05 36790.31 201
MIMVSNet71.64 26168.44 27081.23 21781.97 28864.44 17773.05 34188.80 26769.67 23364.59 26874.79 32832.79 32887.82 32253.99 28676.35 20791.42 184
IterMVS-SCA-FT71.55 26269.97 26176.32 29481.48 29060.67 26187.64 27085.99 30866.17 26559.50 30078.88 29945.53 27283.65 34462.58 25161.93 30184.63 289
v7n71.31 26368.65 26879.28 26176.40 33860.77 25686.71 28089.45 24164.17 27858.77 30778.24 30344.59 27893.54 22957.76 27361.75 30483.52 297
anonymousdsp71.14 26469.37 26676.45 29372.95 34854.71 32084.19 29088.88 26461.92 29962.15 29079.77 29438.14 30391.44 29168.90 19767.45 26183.21 303
F-COLMAP70.66 26568.44 27077.32 28486.37 23155.91 31388.00 26386.32 30256.94 32757.28 31688.07 19433.58 32692.49 26251.02 29468.37 25383.55 295
WR-MVS_H70.59 26669.94 26272.53 31981.03 29351.43 33487.35 27392.03 14067.38 25660.23 29780.70 28055.84 18183.45 34646.33 31658.58 32482.72 309
CP-MVSNet70.50 26769.91 26372.26 32280.71 29651.00 33787.23 27490.30 21167.84 25059.64 29982.69 25050.23 23482.30 35451.28 29359.28 32083.46 299
RPMNet70.42 26865.68 28484.63 13183.15 27967.96 8170.25 34590.45 20146.83 35469.97 21265.10 35256.48 17395.30 16935.79 35173.13 22190.64 198
tfpnnormal70.10 26967.36 27578.32 27183.45 27660.97 25288.85 25192.77 11264.85 27460.83 29578.53 30143.52 28393.48 23131.73 36261.70 30680.52 331
TransMVSNet (Re)70.07 27067.66 27477.31 28580.62 29959.13 28391.78 16284.94 31765.97 26660.08 29880.44 28550.78 22891.87 27848.84 30345.46 35180.94 326
CL-MVSNet_self_test69.92 27168.09 27375.41 29973.25 34755.90 31490.05 22589.90 22769.96 22961.96 29276.54 31751.05 22787.64 32449.51 30150.59 34382.70 311
DP-MVS69.90 27266.48 27880.14 24195.36 3062.93 21789.56 23476.11 34750.27 34557.69 31485.23 22439.68 29495.73 14333.35 35671.05 23881.78 322
PS-CasMVS69.86 27369.13 26772.07 32580.35 30250.57 33987.02 27689.75 23167.27 25759.19 30382.28 25446.58 26482.24 35550.69 29559.02 32183.39 301
MSDG69.54 27465.73 28380.96 22885.11 25163.71 19884.19 29083.28 33356.95 32654.50 32184.03 23631.50 33496.03 13442.87 33069.13 24883.14 305
PEN-MVS69.46 27568.56 26972.17 32479.27 31349.71 34386.90 27889.24 24867.24 26059.08 30482.51 25347.23 26183.54 34548.42 30557.12 32583.25 302
LS3D69.17 27666.40 27977.50 28091.92 11156.12 31285.12 28580.37 34146.96 35256.50 31887.51 20237.25 31193.71 22632.52 36179.40 17782.68 312
PatchT69.11 27765.37 28880.32 23682.07 28763.68 20167.96 35487.62 29150.86 34369.37 21765.18 35157.09 15888.53 31641.59 33566.60 26588.74 217
KD-MVS_2432*160069.03 27866.37 28077.01 28885.56 24361.06 25081.44 31290.25 21367.27 25758.00 31176.53 31854.49 19387.63 32548.04 30735.77 36282.34 315
miper_refine_blended69.03 27866.37 28077.01 28885.56 24361.06 25081.44 31290.25 21367.27 25758.00 31176.53 31854.49 19387.63 32548.04 30735.77 36282.34 315
MVS_030468.99 28067.23 27774.28 30880.36 30152.54 32887.01 27786.36 30159.89 31366.22 25773.56 33124.25 35088.03 32057.34 27670.11 24082.27 317
ACMH63.93 1768.62 28164.81 28980.03 24485.22 24763.25 20887.72 26884.66 32060.83 30551.57 33379.43 29827.29 34694.96 17641.76 33364.84 27781.88 320
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
EG-PatchMatch MVS68.55 28265.41 28777.96 27678.69 32362.93 21789.86 23189.17 25260.55 30650.27 33877.73 30822.60 35594.06 21147.18 31372.65 22676.88 350
ADS-MVSNet68.54 28364.38 29681.03 22788.06 20066.90 11368.01 35284.02 32557.57 32164.48 27069.87 34438.68 29689.21 31140.87 33767.89 25786.97 243
DTE-MVSNet68.46 28467.33 27671.87 32777.94 33049.00 34686.16 28388.58 27566.36 26458.19 30882.21 25646.36 26583.87 34344.97 32355.17 33282.73 308
our_test_368.29 28564.69 29179.11 26678.92 31964.85 16988.40 26085.06 31560.32 30952.68 32876.12 32240.81 29189.80 30844.25 32555.65 33082.67 313
Patchmatch-RL test68.17 28664.49 29479.19 26271.22 35253.93 32370.07 34771.54 35969.22 23856.79 31762.89 35456.58 17188.61 31369.53 18952.61 33895.03 80
XVG-ACMP-BASELINE68.04 28765.53 28675.56 29874.06 34652.37 32978.43 33085.88 30962.03 29758.91 30681.21 27620.38 35991.15 29260.69 26168.18 25483.16 304
FMVSNet568.04 28765.66 28575.18 30184.43 26257.89 29483.54 29486.26 30461.83 30153.64 32673.30 33237.15 31485.08 33648.99 30261.77 30382.56 314
ppachtmachnet_test67.72 28963.70 29879.77 25278.92 31966.04 13488.68 25482.90 33560.11 31155.45 31975.96 32339.19 29590.55 29439.53 34152.55 33982.71 310
ACMH+65.35 1667.65 29064.55 29276.96 29084.59 25857.10 30788.08 26280.79 33958.59 32053.00 32781.09 27826.63 34892.95 24046.51 31461.69 30780.82 327
pmmvs667.57 29164.76 29076.00 29772.82 35053.37 32588.71 25386.78 30053.19 33757.58 31578.03 30635.33 32292.41 26555.56 28154.88 33482.21 318
Anonymous2023120667.53 29265.78 28272.79 31874.95 34247.59 35188.23 26187.32 29461.75 30258.07 31077.29 31137.79 30887.29 32942.91 32863.71 28883.48 298
Patchmtry67.53 29263.93 29778.34 27082.12 28664.38 18168.72 34984.00 32648.23 35159.24 30172.41 33557.82 15289.27 31046.10 31756.68 32981.36 323
USDC67.43 29464.51 29376.19 29577.94 33055.29 31778.38 33185.00 31673.17 14948.36 34480.37 28621.23 35792.48 26352.15 29264.02 28680.81 328
ADS-MVSNet266.90 29563.44 30077.26 28688.06 20060.70 26068.01 35275.56 35057.57 32164.48 27069.87 34438.68 29684.10 33940.87 33767.89 25786.97 243
CMPMVSbinary48.56 2166.77 29664.41 29573.84 31070.65 35550.31 34077.79 33585.73 31145.54 35544.76 35382.14 25735.40 32190.14 30463.18 24674.54 21281.07 325
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft61.12 1866.39 29762.92 30376.80 29276.51 33757.77 29689.22 24383.41 33155.48 33353.86 32577.84 30726.28 34993.95 22034.90 35368.76 25078.68 345
LTVRE_ROB59.60 1966.27 29863.54 29974.45 30584.00 26951.55 33367.08 35583.53 32958.78 31854.94 32080.31 28734.54 32493.23 23540.64 33968.03 25578.58 346
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
JIA-IIPM66.06 29962.45 30676.88 29181.42 29254.45 32257.49 36388.67 27149.36 34763.86 27646.86 36256.06 17790.25 29849.53 30068.83 24985.95 268
Patchmatch-test65.86 30060.94 31280.62 23383.75 27158.83 28458.91 36275.26 35244.50 35850.95 33777.09 31458.81 14587.90 32135.13 35264.03 28595.12 74
UnsupCasMVSNet_eth65.79 30163.10 30173.88 30970.71 35450.29 34181.09 31489.88 22872.58 16249.25 34274.77 32932.57 33087.43 32855.96 28041.04 35783.90 293
pmmvs-eth3d65.53 30262.32 30775.19 30069.39 35859.59 27582.80 30483.43 33062.52 29351.30 33572.49 33332.86 32787.16 33055.32 28250.73 34278.83 344
SixPastTwentyTwo64.92 30361.78 31074.34 30778.74 32249.76 34283.42 29879.51 34462.86 28850.27 33877.35 30930.92 33890.49 29645.89 31847.06 34882.78 306
OurMVSNet-221017-064.68 30462.17 30872.21 32376.08 34147.35 35280.67 31681.02 33856.19 33051.60 33279.66 29627.05 34788.56 31553.60 28953.63 33780.71 329
test_040264.54 30561.09 31174.92 30284.10 26860.75 25887.95 26479.71 34352.03 33952.41 32977.20 31232.21 33291.64 28323.14 36561.03 31072.36 357
testgi64.48 30662.87 30469.31 33271.24 35140.62 36385.49 28479.92 34265.36 27154.18 32383.49 24323.74 35384.55 33841.60 33460.79 31382.77 307
RPSCF64.24 30761.98 30971.01 32976.10 34045.00 35675.83 33875.94 34846.94 35358.96 30584.59 23231.40 33582.00 35647.76 31160.33 31886.04 265
EU-MVSNet64.01 30863.01 30267.02 33974.40 34538.86 36883.27 29986.19 30645.11 35654.27 32281.15 27736.91 31780.01 35948.79 30457.02 32682.19 319
test20.0363.83 30962.65 30567.38 33870.58 35639.94 36486.57 28184.17 32363.29 28451.86 33177.30 31037.09 31582.47 35238.87 34554.13 33679.73 337
MDA-MVSNet_test_wron63.78 31060.16 31374.64 30378.15 32860.41 26483.49 29584.03 32456.17 33239.17 36171.59 34137.22 31283.24 34942.87 33048.73 34580.26 334
YYNet163.76 31160.14 31474.62 30478.06 32960.19 26983.46 29783.99 32856.18 33139.25 36071.56 34237.18 31383.34 34742.90 32948.70 34680.32 333
K. test v363.09 31259.61 31673.53 31276.26 33949.38 34583.27 29977.15 34664.35 27647.77 34672.32 33728.73 34287.79 32349.93 29936.69 36183.41 300
COLMAP_ROBcopyleft57.96 2062.98 31359.65 31572.98 31681.44 29153.00 32783.75 29375.53 35148.34 35048.81 34381.40 27024.14 35190.30 29732.95 35860.52 31575.65 353
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
Anonymous2024052162.09 31459.08 31771.10 32867.19 36048.72 34783.91 29285.23 31450.38 34447.84 34571.22 34320.74 35885.51 33546.47 31558.75 32379.06 342
AllTest61.66 31558.06 31972.46 32079.57 30851.42 33580.17 32268.61 36251.25 34145.88 34881.23 27219.86 36086.58 33238.98 34357.01 32779.39 339
UnsupCasMVSNet_bld61.60 31657.71 32073.29 31468.73 35951.64 33278.61 32989.05 26057.20 32546.11 34761.96 35628.70 34388.60 31450.08 29838.90 35979.63 338
MDA-MVSNet-bldmvs61.54 31757.70 32173.05 31579.53 31057.00 30883.08 30281.23 33757.57 32134.91 36372.45 33432.79 32886.26 33435.81 35041.95 35575.89 352
KD-MVS_self_test60.87 31858.60 31867.68 33666.13 36139.93 36575.63 33984.70 31957.32 32449.57 34168.45 34729.55 33982.87 35048.09 30647.94 34780.25 335
TinyColmap60.32 31956.42 32572.00 32678.78 32153.18 32678.36 33275.64 34952.30 33841.59 35975.82 32514.76 36588.35 31735.84 34954.71 33574.46 354
MVS-HIRNet60.25 32055.55 32674.35 30684.37 26356.57 31071.64 34374.11 35334.44 36345.54 35242.24 36631.11 33789.81 30640.36 34076.10 20876.67 351
MIMVSNet160.16 32157.33 32268.67 33369.71 35744.13 35878.92 32884.21 32255.05 33444.63 35471.85 33923.91 35281.54 35832.63 36055.03 33380.35 332
PM-MVS59.40 32256.59 32367.84 33463.63 36341.86 36076.76 33663.22 36859.01 31751.07 33672.27 33811.72 36883.25 34861.34 25750.28 34478.39 347
new-patchmatchnet59.30 32356.48 32467.79 33565.86 36244.19 35782.47 30581.77 33659.94 31243.65 35766.20 35027.67 34581.68 35739.34 34241.40 35677.50 349
DSMNet-mixed56.78 32454.44 32763.79 34163.21 36429.44 37264.43 35764.10 36742.12 36051.32 33471.60 34031.76 33375.04 36136.23 34865.20 27486.87 246
pmmvs355.51 32551.50 33067.53 33757.90 36950.93 33880.37 31873.66 35440.63 36144.15 35664.75 35316.30 36278.97 36044.77 32440.98 35872.69 355
TDRefinement55.28 32651.58 32966.39 34059.53 36846.15 35576.23 33772.80 35544.60 35742.49 35876.28 32115.29 36382.39 35333.20 35743.75 35370.62 359
LF4IMVS54.01 32752.12 32859.69 34262.41 36639.91 36668.59 35068.28 36442.96 35944.55 35575.18 32614.09 36768.39 36541.36 33651.68 34070.78 358
N_pmnet50.55 32849.11 33154.88 34677.17 3344.02 38284.36 2892.00 38148.59 34845.86 35068.82 34632.22 33182.80 35131.58 36351.38 34177.81 348
new_pmnet49.31 32946.44 33257.93 34362.84 36540.74 36268.47 35162.96 36936.48 36235.09 36257.81 35814.97 36472.18 36332.86 35946.44 34960.88 363
FPMVS45.64 33043.10 33353.23 34851.42 37236.46 36964.97 35671.91 35729.13 36527.53 36561.55 3579.83 37065.01 36916.00 36955.58 33158.22 364
EGC-MVSNET42.35 33138.09 33455.11 34574.57 34346.62 35471.63 34455.77 3710.04 3760.24 37762.70 35514.24 36674.91 36217.59 36846.06 35043.80 365
LCM-MVSNet40.54 33235.79 33554.76 34736.92 37730.81 37151.41 36469.02 36122.07 36724.63 36645.37 3644.56 37765.81 36733.67 35534.50 36467.67 360
ANet_high40.27 33335.20 33655.47 34434.74 37834.47 37063.84 35871.56 35848.42 34918.80 36941.08 3679.52 37164.45 37020.18 3668.66 37467.49 361
test_method38.59 33435.16 33748.89 35054.33 37021.35 37745.32 36753.71 3727.41 37328.74 36451.62 3608.70 37252.87 37133.73 35432.89 36572.47 356
PMMVS237.93 33533.61 33850.92 34946.31 37424.76 37560.55 36150.05 37328.94 36620.93 36747.59 3614.41 37865.13 36825.14 36418.55 36962.87 362
Gipumacopyleft34.91 33631.44 33945.30 35170.99 35339.64 36719.85 37172.56 35620.10 36916.16 37121.47 3725.08 37671.16 36413.07 37043.70 35425.08 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft26.43 2231.84 33728.16 34042.89 35225.87 38027.58 37350.92 36549.78 37421.37 36814.17 37240.81 3682.01 37966.62 3669.61 37238.88 36034.49 368
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
E-PMN24.61 33824.00 34226.45 35543.74 37518.44 37960.86 35939.66 37515.11 3709.53 37422.10 3716.52 37446.94 3738.31 37310.14 37113.98 371
MVEpermissive24.84 2324.35 33919.77 34538.09 35334.56 37926.92 37426.57 36938.87 37711.73 37211.37 37327.44 3691.37 38050.42 37211.41 37114.60 37036.93 366
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
EMVS23.76 34023.20 34425.46 35641.52 37616.90 38060.56 36038.79 37814.62 3718.99 37520.24 3747.35 37345.82 3747.25 3749.46 37213.64 372
tmp_tt22.26 34123.75 34317.80 3575.23 38112.06 38135.26 36839.48 3762.82 37518.94 36844.20 36522.23 35624.64 37636.30 3479.31 37316.69 370
cdsmvs_eth3d_5k19.86 34226.47 3410.00 3610.00 3840.00 3850.00 37293.45 840.00 3790.00 38095.27 5149.56 2390.00 3800.00 3780.00 3770.00 376
wuyk23d11.30 34310.95 34612.33 35848.05 37319.89 37825.89 3701.92 3823.58 3743.12 3761.37 3760.64 38115.77 3776.23 3757.77 3751.35 373
ab-mvs-re7.91 34410.55 3470.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38094.95 630.00 3840.00 3800.00 3780.00 3770.00 376
testmvs7.23 3459.62 3480.06 3600.04 3820.02 38484.98 2870.02 3830.03 3770.18 3781.21 3770.01 3830.02 3780.14 3760.01 3760.13 375
test1236.92 3469.21 3490.08 3590.03 3830.05 38381.65 3100.01 3840.02 3780.14 3790.85 3780.03 3820.02 3780.12 3770.00 3770.16 374
pcd_1.5k_mvsjas4.46 3475.95 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37953.55 2050.00 3800.00 3780.00 3770.00 376
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
FOURS193.95 5361.77 23893.96 6891.92 14462.14 29686.57 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 5671.42 20890.67 1596.85 1274.45 19
eth-test20.00 384
eth-test0.00 384
ZD-MVS96.63 1165.50 15093.50 8270.74 22185.26 5295.19 5764.92 7897.29 7887.51 4593.01 58
RE-MVS-def80.48 12892.02 10358.56 28790.90 19890.45 20162.76 28978.89 11494.46 7749.30 24278.77 11986.77 12792.28 170
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 4671.65 19692.07 697.21 574.58 1799.11 692.34 895.36 1496.59 15
test_241102_ONE96.45 1469.38 4794.44 4371.65 19692.11 497.05 876.79 999.11 6
9.1487.63 2593.86 5594.41 5194.18 5672.76 15986.21 3896.51 1966.64 5997.88 4990.08 2594.04 41
save fliter93.84 5667.89 8395.05 3992.66 11778.19 70
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 2896.64 894.37 5099.15 291.91 1494.90 2196.51 20
test072696.40 1769.99 3396.76 694.33 5271.92 18291.89 897.11 773.77 22
GSMVS94.68 90
test_part296.29 2168.16 7790.78 13
sam_mvs157.85 15194.68 90
sam_mvs54.91 190
ambc69.61 33161.38 36741.35 36149.07 36685.86 31050.18 34066.40 34910.16 36988.14 31945.73 31944.20 35279.32 341
MTGPAbinary92.23 130
test_post178.95 32720.70 37353.05 21091.50 29060.43 262
test_post23.01 37056.49 17292.67 255
patchmatchnet-post67.62 34857.62 15490.25 298
GG-mvs-BLEND86.53 6691.91 11269.67 4575.02 34094.75 3178.67 12190.85 15577.91 794.56 19172.25 16593.74 4795.36 57
MTMP93.77 8332.52 379
gm-plane-assit88.42 18967.04 10978.62 6791.83 14197.37 7276.57 133
test9_res89.41 2694.96 1895.29 63
TEST994.18 4667.28 10094.16 5693.51 8071.75 19485.52 4895.33 4668.01 4497.27 82
test_894.19 4567.19 10394.15 5893.42 8771.87 18785.38 5095.35 4568.19 4196.95 102
agg_prior286.41 5694.75 3095.33 59
agg_prior94.16 5066.97 11193.31 9084.49 5996.75 111
TestCases72.46 32079.57 30851.42 33568.61 36251.25 34145.88 34881.23 27219.86 36086.58 33238.98 34357.01 32779.39 339
test_prior467.18 10593.92 74
test_prior295.10 3775.40 10985.25 5395.61 4067.94 4587.47 4694.77 25
test_prior86.42 7094.71 3967.35 9893.10 10296.84 10795.05 77
旧先验292.00 15259.37 31687.54 2993.47 23275.39 139
新几何291.41 174
新几何184.73 12592.32 9564.28 18691.46 16759.56 31479.77 10492.90 11956.95 16596.57 11663.40 24392.91 6093.34 139
旧先验191.94 10960.74 25991.50 16594.36 8165.23 7291.84 7794.55 95
无先验92.71 12092.61 12162.03 29797.01 9366.63 21393.97 122
原ACMM292.01 149
原ACMM184.42 13693.21 7464.27 18793.40 8965.39 27079.51 10792.50 12758.11 15096.69 11365.27 23393.96 4292.32 168
test22289.77 15761.60 24289.55 23589.42 24356.83 32877.28 13492.43 13152.76 21291.14 9193.09 149
testdata296.09 12961.26 258
segment_acmp65.94 65
testdata81.34 21489.02 17557.72 29789.84 22958.65 31985.32 5194.09 9457.03 16093.28 23469.34 19190.56 9793.03 151
testdata189.21 24477.55 84
test1287.09 4594.60 4168.86 5892.91 10882.67 7665.44 7197.55 6493.69 5094.84 86
plane_prior786.94 22161.51 243
plane_prior687.23 21662.32 22950.66 229
plane_prior591.31 17295.55 15776.74 13178.53 18788.39 224
plane_prior489.14 180
plane_prior361.95 23679.09 5972.53 179
plane_prior293.13 10378.81 64
plane_prior187.15 218
plane_prior62.42 22693.85 7879.38 5178.80 184
n20.00 385
nn0.00 385
door-mid66.01 366
lessismore_v073.72 31172.93 34947.83 35061.72 37045.86 35073.76 33028.63 34489.81 30647.75 31231.37 36683.53 296
LGP-MVS_train79.56 25884.31 26459.37 27989.73 23469.49 23464.86 26588.42 18538.65 29894.30 20072.56 16272.76 22485.01 284
test1193.01 104
door66.57 365
HQP5-MVS63.66 202
HQP-NCC87.54 21094.06 6379.80 4574.18 160
ACMP_Plane87.54 21094.06 6379.80 4574.18 160
BP-MVS77.63 128
HQP4-MVS74.18 16095.61 15188.63 218
HQP3-MVS91.70 15678.90 182
HQP2-MVS51.63 222
NP-MVS87.41 21363.04 21390.30 166
MDTV_nov1_ep13_2view59.90 27280.13 32367.65 25472.79 17454.33 19859.83 26692.58 162
MDTV_nov1_ep1372.61 24189.06 17468.48 6680.33 31990.11 21971.84 19071.81 19175.92 32453.01 21193.92 22148.04 30773.38 219
ACMMP++_ref71.63 232
ACMMP++69.72 242
Test By Simon54.21 199
ITE_SJBPF70.43 33074.44 34447.06 35377.32 34560.16 31054.04 32483.53 24123.30 35484.01 34143.07 32761.58 30880.21 336
DeepMVS_CXcopyleft34.71 35451.45 37124.73 37628.48 38031.46 36417.49 37052.75 3595.80 37542.60 37518.18 36719.42 36836.81 367