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 2599.38 192.64 595.93 1097.08 9
DPM-MVS90.70 290.52 691.24 189.68 15776.68 297.29 195.35 1082.87 1491.58 1097.22 479.93 599.10 983.12 7997.64 297.94 1
DVP-MVS++90.53 391.09 488.87 1497.31 469.91 3893.96 6794.37 4972.48 16392.07 696.85 1283.82 299.15 291.53 1597.42 497.55 4
MSP-MVS90.38 491.87 185.88 8692.83 8164.03 19293.06 10494.33 5182.19 1993.65 396.15 3085.89 197.19 8391.02 1997.75 196.43 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-MVS90.32 590.89 588.61 1996.76 1070.65 2596.47 1294.83 2584.83 889.07 2296.80 1570.86 3299.06 1592.64 595.71 1196.12 34
ETH3 D test640090.27 690.44 789.75 696.82 974.33 795.89 1794.80 2877.13 8689.13 2197.38 274.49 1798.48 2892.32 1095.98 896.46 25
DELS-MVS90.05 790.09 989.94 493.14 7573.88 897.01 394.40 4788.32 285.71 4694.91 6774.11 1998.91 1787.26 5095.94 997.03 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-MVS89.94 890.36 888.70 1696.45 1469.38 4896.89 494.44 4271.65 19492.11 497.21 576.79 999.11 692.34 795.36 1497.62 2
DeepPCF-MVS81.17 189.72 991.38 384.72 12793.00 7858.16 29196.72 794.41 4586.50 590.25 1797.83 175.46 1498.67 2392.78 495.49 1397.32 6
CANet89.61 1089.99 1088.46 2094.39 4269.71 4496.53 1193.78 6486.89 489.68 1895.78 3465.94 6399.10 992.99 393.91 4496.58 17
DVP-MVScopyleft89.41 1189.73 1288.45 2196.40 1769.99 3496.64 894.52 3871.92 18090.55 1596.93 1073.77 2099.08 1191.91 1394.90 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 1289.95 1187.64 2995.10 3368.23 7695.24 3294.49 4082.43 1788.90 2396.35 2471.89 3198.63 2488.76 3596.40 696.06 35
NCCC89.07 1389.46 1387.91 2496.60 1269.05 5596.38 1394.64 3584.42 986.74 3396.20 2866.56 5998.76 2289.03 3394.56 3395.92 41
DPE-MVScopyleft88.77 1489.21 1487.45 3696.26 2267.56 9194.17 5494.15 5768.77 24390.74 1397.27 376.09 1298.49 2790.58 2194.91 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 1588.29 1887.67 2893.21 7268.72 6393.85 7794.03 6074.18 12591.74 996.67 1665.61 6898.42 3289.24 2896.08 795.88 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
PS-MVSNAJ88.14 1587.61 2689.71 792.06 10076.72 195.75 2093.26 9183.86 1089.55 1996.06 3153.55 20397.89 4891.10 1793.31 5594.54 93
TSAR-MVS + MP.88.11 1788.64 1586.54 6591.73 11468.04 7990.36 21493.55 7882.89 1391.29 1192.89 11872.27 2896.03 13287.99 3994.77 2595.54 50
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 1888.37 1786.70 5993.51 6565.32 15295.15 3593.84 6378.17 6985.93 4394.80 7075.80 1398.21 3589.38 2588.78 10696.59 15
DeepC-MVS_fast79.48 287.95 1988.00 1987.79 2795.86 2868.32 7195.74 2194.11 5983.82 1183.49 6896.19 2964.53 8198.44 3083.42 7894.88 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 2087.38 3189.55 1291.41 12576.43 395.74 2193.12 10083.53 1289.55 1995.95 3253.45 20797.68 5491.07 1892.62 6494.54 93
EPNet87.84 2188.38 1686.23 7893.30 6866.05 13395.26 3194.84 2487.09 388.06 2594.53 7566.79 5697.34 7483.89 7591.68 7795.29 59
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
lupinMVS87.74 2287.77 2387.63 3389.24 16971.18 2096.57 1092.90 10882.70 1687.13 2995.27 5064.99 7495.80 13989.34 2691.80 7595.93 40
ETH3D-3000-0.187.61 2387.89 2086.75 5593.58 6267.21 10294.31 5294.14 5872.92 15487.13 2996.62 1767.81 4797.94 4390.13 2294.42 3695.09 71
CS-MVS87.54 2487.81 2286.74 5690.46 14270.23 3196.34 1492.31 12781.40 3086.14 4095.17 5765.49 6995.92 13589.09 2993.91 4494.06 115
APDe-MVS87.54 2487.84 2186.65 6096.07 2566.30 12994.84 4593.78 6469.35 23488.39 2496.34 2567.74 4897.66 5890.62 2093.44 5496.01 38
SD-MVS87.49 2687.49 2887.50 3593.60 6168.82 6193.90 7492.63 11976.86 9087.90 2695.76 3566.17 6097.63 6089.06 3191.48 8196.05 36
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 3767.35 9895.10 3793.10 10175.40 10785.25 5395.61 4067.94 4396.84 10687.47 4594.77 2595.05 73
alignmvs87.28 2886.97 3688.24 2391.30 12671.14 2295.61 2593.56 7779.30 5087.07 3295.25 5268.43 3796.93 10487.87 4084.33 14696.65 13
Regformer-187.24 2987.60 2786.15 8095.14 3165.83 14193.95 7095.12 1582.11 2184.25 5995.73 3667.88 4698.35 3385.60 6088.64 10994.26 102
train_agg87.21 3087.42 3086.60 6194.18 4467.28 10094.16 5593.51 7971.87 18585.52 4895.33 4568.19 3997.27 8189.09 2994.90 2195.25 66
xxxxxxxxxxxxxcwj87.14 3187.19 3386.99 4893.84 5467.89 8395.05 3984.72 31678.19 6786.25 3596.44 2166.98 5297.79 5188.68 3694.56 3395.28 61
MG-MVS87.11 3286.27 4189.62 897.79 176.27 494.96 4394.49 4078.74 6383.87 6692.94 11564.34 8396.94 10275.19 13894.09 4095.66 46
ETH3D cwj APD-0.1687.06 3387.18 3486.71 5791.99 10467.48 9692.97 10994.21 5471.48 20585.72 4596.32 2668.13 4198.00 4289.06 3194.70 3194.65 89
SF-MVS87.03 3487.09 3586.84 5092.70 8767.45 9793.64 8593.76 6770.78 21886.25 3596.44 2166.98 5297.79 5188.68 3694.56 3395.28 61
agg_prior187.02 3587.26 3286.28 7794.16 4866.97 11194.08 6193.31 8971.85 18784.49 5795.39 4368.91 3696.75 11088.84 3494.32 3895.13 69
Regformer-287.00 3687.43 2985.71 9595.14 3164.73 17193.95 7094.95 2281.69 2684.03 6495.73 3667.35 5098.19 3785.40 6288.64 10994.20 104
CSCG86.87 3786.26 4288.72 1595.05 3470.79 2493.83 8195.33 1168.48 24777.63 12794.35 8473.04 2398.45 2984.92 6793.71 5096.92 11
canonicalmvs86.85 3886.25 4388.66 1891.80 11371.92 1593.54 9091.71 15480.26 4187.55 2795.25 5263.59 9596.93 10488.18 3884.34 14597.11 8
PHI-MVS86.83 3986.85 3986.78 5493.47 6665.55 14895.39 2995.10 1771.77 19185.69 4796.52 1862.07 10998.77 2186.06 5895.60 1296.03 37
SteuartSystems-ACMMP86.82 4086.90 3786.58 6390.42 14366.38 12696.09 1693.87 6277.73 7784.01 6595.66 3863.39 9797.94 4387.40 4793.55 5395.42 51
Skip Steuart: Steuart Systems R&D Blog.
PVSNet_Blended86.73 4186.86 3886.31 7693.76 5667.53 9396.33 1593.61 7582.34 1881.00 8993.08 11063.19 10097.29 7787.08 5191.38 8394.13 110
testtj86.62 4286.66 4086.50 6796.95 865.70 14394.41 5093.45 8367.74 24986.19 3896.39 2364.38 8297.91 4687.33 4893.14 5895.90 42
jason86.40 4386.17 4487.11 4486.16 23270.54 2795.71 2492.19 13682.00 2384.58 5694.34 8561.86 11195.53 15987.76 4190.89 9095.27 63
jason: jason.
WTY-MVS86.32 4485.81 4987.85 2592.82 8369.37 5095.20 3395.25 1282.71 1581.91 7894.73 7167.93 4597.63 6079.55 10882.25 15796.54 18
MSLP-MVS++86.27 4585.91 4887.35 3992.01 10368.97 5895.04 4192.70 11379.04 5881.50 8296.50 2058.98 14296.78 10883.49 7793.93 4396.29 30
VNet86.20 4685.65 5387.84 2693.92 5269.99 3495.73 2395.94 678.43 6586.00 4293.07 11258.22 14697.00 9485.22 6484.33 14696.52 19
MVS_111021_HR86.19 4785.80 5087.37 3893.17 7469.79 4193.99 6693.76 6779.08 5778.88 11593.99 9662.25 10898.15 3885.93 5991.15 8794.15 109
ACMMP_NAP86.05 4885.80 5086.80 5391.58 11867.53 9391.79 15993.49 8274.93 11584.61 5595.30 4759.42 13597.92 4586.13 5794.92 1994.94 78
ETV-MVS86.01 4986.11 4585.70 9690.21 14867.02 11093.43 9591.92 14481.21 3284.13 6394.07 9560.93 11895.63 14989.28 2789.81 9894.46 100
APD-MVScopyleft85.93 5085.99 4685.76 9295.98 2765.21 15693.59 8892.58 12166.54 26086.17 3995.88 3363.83 8997.00 9486.39 5692.94 6095.06 72
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PAPM85.89 5185.46 5587.18 4288.20 19672.42 1492.41 13392.77 11182.11 2180.34 9593.07 11268.27 3895.02 17278.39 12093.59 5294.09 112
Regformer-385.80 5285.92 4785.46 10294.17 4665.09 16492.95 11195.11 1681.13 3381.68 8095.04 5865.82 6598.32 3483.02 8084.36 14392.97 151
CDPH-MVS85.71 5385.46 5586.46 6894.75 3667.19 10393.89 7592.83 11070.90 21483.09 7195.28 4863.62 9397.36 7280.63 10294.18 3994.84 82
DeepC-MVS77.85 385.52 5485.24 5786.37 7388.80 17966.64 12092.15 13993.68 7281.07 3476.91 13793.64 10162.59 10598.44 3085.50 6192.84 6294.03 117
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 5585.69 5284.73 12594.17 4663.23 20992.95 11194.83 2580.66 3881.29 8395.04 5865.12 7298.08 4082.74 8284.36 14392.88 155
casdiffmvs85.37 5684.87 6386.84 5088.25 19469.07 5493.04 10691.76 15181.27 3180.84 9192.07 13664.23 8496.06 13084.98 6687.43 11995.39 52
CS-MVS-test85.35 5785.55 5484.75 12490.77 13965.29 15395.38 3091.54 16078.03 7183.67 6794.32 8762.47 10695.81 13882.73 8391.00 8993.15 144
ZNCC-MVS85.33 5885.08 5986.06 8193.09 7765.65 14593.89 7593.41 8773.75 13679.94 9994.68 7360.61 12198.03 4182.63 8693.72 4994.52 95
MP-MVS-pluss85.24 5985.13 5885.56 9991.42 12365.59 14791.54 17192.51 12374.56 11880.62 9295.64 3959.15 13997.00 9486.94 5393.80 4694.07 114
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
PAPR85.15 6084.47 6587.18 4296.02 2668.29 7291.85 15793.00 10576.59 9479.03 11195.00 6061.59 11297.61 6278.16 12289.00 10595.63 47
MP-MVScopyleft85.02 6184.97 6185.17 11392.60 8964.27 18893.24 9992.27 12973.13 14879.63 10494.43 7861.90 11097.17 8485.00 6592.56 6594.06 115
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
baseline85.01 6284.44 6786.71 5788.33 19168.73 6290.24 21891.82 15081.05 3581.18 8592.50 12563.69 9296.08 12984.45 7086.71 12795.32 57
#test#84.98 6384.74 6485.72 9393.75 5865.01 16594.09 6093.19 9573.55 14279.22 10894.93 6459.04 14097.67 5582.66 8492.21 6994.49 98
CHOSEN 1792x268884.98 6383.45 7789.57 1189.94 15275.14 592.07 14592.32 12681.87 2475.68 14688.27 18760.18 12498.60 2580.46 10490.27 9794.96 77
EIA-MVS84.84 6584.88 6284.69 12891.30 12662.36 22893.85 7792.04 13979.45 4879.33 10794.28 8962.42 10796.35 11980.05 10591.25 8695.38 53
zzz-MVS84.73 6684.47 6585.50 10091.89 10965.16 15891.55 17092.23 13075.32 10980.53 9395.21 5456.06 17597.16 8584.86 6892.55 6694.18 105
HFP-MVS84.73 6684.40 6885.72 9393.75 5865.01 16593.50 9293.19 9572.19 17479.22 10894.93 6459.04 14097.67 5581.55 9392.21 6994.49 98
MVS84.66 6882.86 9290.06 290.93 13274.56 687.91 26395.54 968.55 24572.35 18394.71 7259.78 13198.90 1881.29 9994.69 3296.74 12
GST-MVS84.63 6984.29 6985.66 9792.82 8365.27 15493.04 10693.13 9973.20 14678.89 11294.18 9259.41 13697.85 5081.45 9592.48 6893.86 125
DROMVSNet84.53 7085.04 6083.01 16989.34 16461.37 24694.42 4991.09 18277.91 7483.24 6994.20 9158.37 14595.40 16185.35 6391.41 8292.27 171
ACMMPR84.37 7184.06 7085.28 10993.56 6364.37 18393.50 9293.15 9872.19 17478.85 11794.86 6856.69 16797.45 6681.55 9392.20 7194.02 118
region2R84.36 7284.03 7185.36 10793.54 6464.31 18593.43 9592.95 10672.16 17778.86 11694.84 6956.97 16297.53 6481.38 9792.11 7394.24 103
LFMVS84.34 7382.73 9589.18 1394.76 3573.25 1094.99 4291.89 14671.90 18282.16 7793.49 10547.98 25397.05 8982.55 8784.82 13997.25 7
test_yl84.28 7483.16 8587.64 2994.52 4069.24 5195.78 1895.09 1869.19 23781.09 8692.88 11957.00 16097.44 6781.11 10081.76 16196.23 32
DCV-MVSNet84.28 7483.16 8587.64 2994.52 4069.24 5195.78 1895.09 1869.19 23781.09 8692.88 11957.00 16097.44 6781.11 10081.76 16196.23 32
diffmvs84.28 7483.83 7285.61 9887.40 21268.02 8090.88 19989.24 24680.54 3981.64 8192.52 12459.83 13094.52 19387.32 4985.11 13794.29 101
HY-MVS76.49 584.28 7483.36 8387.02 4792.22 9767.74 8784.65 28694.50 3979.15 5482.23 7687.93 19466.88 5496.94 10280.53 10382.20 15896.39 28
MAR-MVS84.18 7883.43 7886.44 6996.25 2365.93 13894.28 5394.27 5374.41 11979.16 11095.61 4053.99 19898.88 2069.62 18693.26 5694.50 97
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 7983.20 8487.05 4691.56 11969.82 4089.99 22792.05 13877.77 7682.84 7286.57 20963.93 8896.09 12774.91 14489.18 10495.25 66
CANet_DTU84.09 8083.52 7485.81 8990.30 14666.82 11591.87 15589.01 25985.27 686.09 4193.74 10047.71 25696.98 9877.90 12589.78 10093.65 130
ET-MVSNet_ETH3D84.01 8183.15 8786.58 6390.78 13870.89 2394.74 4694.62 3681.44 2958.19 30693.64 10173.64 2292.35 26782.66 8478.66 18496.50 23
PVSNet_Blended_VisFu83.97 8283.50 7585.39 10690.02 15066.59 12393.77 8291.73 15277.43 8577.08 13689.81 17263.77 9196.97 9979.67 10788.21 11292.60 159
DWT-MVSNet_test83.95 8382.80 9387.41 3792.90 8070.07 3389.12 24594.42 4482.15 2077.64 12691.77 14070.81 3396.22 12265.03 23281.36 16595.94 39
MTAPA83.91 8483.38 8285.50 10091.89 10965.16 15881.75 30692.23 13075.32 10980.53 9395.21 5456.06 17597.16 8584.86 6892.55 6694.18 105
XVS83.87 8583.47 7685.05 11493.22 7063.78 19592.92 11392.66 11673.99 12878.18 12194.31 8855.25 18197.41 6979.16 11191.58 7993.95 120
Effi-MVS+83.82 8682.76 9486.99 4889.56 16069.40 4791.35 18186.12 30572.59 15983.22 7092.81 12259.60 13396.01 13481.76 9187.80 11695.56 49
EI-MVSNet-Vis-set83.77 8783.67 7384.06 14592.79 8663.56 20591.76 16294.81 2779.65 4777.87 12394.09 9363.35 9897.90 4779.35 10979.36 17690.74 194
MVSFormer83.75 8882.88 9186.37 7389.24 16971.18 2089.07 24690.69 19465.80 26587.13 2994.34 8564.99 7492.67 25372.83 15591.80 7595.27 63
CP-MVS83.71 8983.40 8184.65 12993.14 7563.84 19394.59 4792.28 12871.03 21277.41 13094.92 6655.21 18496.19 12381.32 9890.70 9293.91 122
baseline283.68 9083.42 8084.48 13587.37 21366.00 13590.06 22295.93 779.71 4669.08 21990.39 16277.92 696.28 12078.91 11581.38 16491.16 190
thisisatest051583.41 9182.49 9986.16 7989.46 16368.26 7493.54 9094.70 3274.31 12275.75 14490.92 15172.62 2696.52 11769.64 18481.50 16393.71 128
PVSNet_BlendedMVS83.38 9283.43 7883.22 16693.76 5667.53 9394.06 6293.61 7579.13 5581.00 8985.14 22363.19 10097.29 7787.08 5173.91 21584.83 284
test250683.29 9382.92 9084.37 13888.39 18963.18 21292.01 14891.35 17077.66 7978.49 12091.42 14564.58 8095.09 17073.19 15189.23 10294.85 79
PGM-MVS83.25 9482.70 9684.92 11892.81 8564.07 19190.44 21092.20 13571.28 20777.23 13394.43 7855.17 18597.31 7679.33 11091.38 8393.37 135
HPM-MVScopyleft83.25 9482.95 8984.17 14392.25 9662.88 22190.91 19691.86 14770.30 22377.12 13493.96 9756.75 16596.28 12082.04 8991.34 8593.34 136
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
EI-MVSNet-UG-set83.14 9682.96 8883.67 15692.28 9563.19 21191.38 17994.68 3379.22 5276.60 13993.75 9962.64 10497.76 5378.07 12378.01 18790.05 202
VDD-MVS83.06 9781.81 10886.81 5290.86 13667.70 8895.40 2891.50 16475.46 10481.78 7992.34 13240.09 29197.13 8786.85 5482.04 15995.60 48
h-mvs3383.01 9882.56 9884.35 13989.34 16462.02 23392.72 11893.76 6781.45 2782.73 7392.25 13460.11 12597.13 8787.69 4262.96 28893.91 122
PAPM_NR82.97 9981.84 10686.37 7394.10 5066.76 11887.66 26792.84 10969.96 22774.07 16293.57 10363.10 10297.50 6570.66 17990.58 9494.85 79
mPP-MVS82.96 10082.44 10084.52 13392.83 8162.92 21992.76 11691.85 14871.52 20275.61 14994.24 9053.48 20696.99 9778.97 11490.73 9193.64 131
SR-MVS82.81 10182.58 9783.50 16193.35 6761.16 24992.23 13891.28 17464.48 27381.27 8495.28 4853.71 20295.86 13782.87 8188.77 10793.49 134
DP-MVS Recon82.73 10281.65 10985.98 8397.31 467.06 10795.15 3591.99 14169.08 24076.50 14193.89 9854.48 19398.20 3670.76 17785.66 13492.69 156
CLD-MVS82.73 10282.35 10283.86 14987.90 20367.65 9095.45 2792.18 13785.06 772.58 17692.27 13352.46 21395.78 14084.18 7179.06 17988.16 226
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
sss82.71 10482.38 10183.73 15389.25 16859.58 27692.24 13794.89 2377.96 7279.86 10192.38 13056.70 16697.05 8977.26 12880.86 16994.55 91
3Dnovator73.91 682.69 10580.82 11988.31 2289.57 15971.26 1992.60 12694.39 4878.84 6067.89 23892.48 12848.42 24898.52 2668.80 19694.40 3795.15 68
MVSTER82.47 10682.05 10383.74 15192.68 8869.01 5691.90 15493.21 9279.83 4272.14 18485.71 21974.72 1594.72 18275.72 13572.49 22587.50 231
TESTMET0.1,182.41 10781.98 10583.72 15488.08 19763.74 19792.70 12093.77 6679.30 5077.61 12887.57 19958.19 14794.08 20773.91 14986.68 12893.33 138
CostFormer82.33 10881.15 11385.86 8889.01 17468.46 6882.39 30493.01 10375.59 10280.25 9681.57 26472.03 3094.96 17479.06 11377.48 19694.16 108
API-MVS82.28 10980.53 12587.54 3496.13 2470.59 2693.63 8691.04 18765.72 26775.45 15192.83 12156.11 17498.89 1964.10 23789.75 10193.15 144
IB-MVS77.80 482.18 11080.46 12787.35 3989.14 17170.28 3095.59 2695.17 1478.85 5970.19 20685.82 21770.66 3497.67 5572.19 16666.52 26494.09 112
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 11181.12 11485.26 11086.42 22668.72 6392.59 12890.44 20273.12 14984.20 6094.36 8038.04 30295.73 14384.12 7286.81 12291.33 184
xiu_mvs_v1_base82.16 11181.12 11485.26 11086.42 22668.72 6392.59 12890.44 20273.12 14984.20 6094.36 8038.04 30295.73 14384.12 7286.81 12291.33 184
xiu_mvs_v1_base_debi82.16 11181.12 11485.26 11086.42 22668.72 6392.59 12890.44 20273.12 14984.20 6094.36 8038.04 30295.73 14384.12 7286.81 12291.33 184
3Dnovator+73.60 782.10 11480.60 12486.60 6190.89 13566.80 11795.20 3393.44 8574.05 12767.42 24492.49 12749.46 23897.65 5970.80 17691.68 7795.33 55
MVS_111021_LR82.02 11581.52 11083.51 16088.42 18762.88 22189.77 23088.93 26176.78 9275.55 15093.10 10850.31 23095.38 16383.82 7687.02 12192.26 172
PMMVS81.98 11682.04 10481.78 20289.76 15656.17 30991.13 19290.69 19477.96 7280.09 9893.57 10346.33 26694.99 17381.41 9687.46 11894.17 107
test117281.90 11781.83 10782.13 19493.23 6957.52 29991.61 16990.98 18964.32 27580.20 9795.00 6051.26 22395.61 15181.73 9288.13 11393.26 140
baseline181.84 11881.03 11884.28 14291.60 11766.62 12191.08 19391.66 15781.87 2474.86 15491.67 14469.98 3594.92 17771.76 17064.75 27791.29 189
EPP-MVSNet81.79 11981.52 11082.61 17888.77 18060.21 26893.02 10893.66 7468.52 24672.90 17190.39 16272.19 2994.96 17474.93 14379.29 17892.67 157
APD-MVS_3200maxsize81.64 12081.32 11282.59 17992.36 9258.74 28591.39 17791.01 18863.35 28179.72 10394.62 7451.82 21696.14 12579.71 10687.93 11592.89 154
ACMMPcopyleft81.49 12180.67 12283.93 14891.71 11562.90 22092.13 14092.22 13471.79 19071.68 19293.49 10550.32 22996.96 10078.47 11984.22 15091.93 175
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 12280.74 12083.52 15986.26 23064.45 17792.09 14390.65 19775.83 10173.95 16489.81 17263.97 8792.91 24371.27 17382.82 15493.20 143
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
mvs_anonymous81.36 12379.99 13385.46 10290.39 14568.40 6986.88 27790.61 19874.41 11970.31 20584.67 22963.79 9092.32 26873.13 15285.70 13395.67 45
ECVR-MVScopyleft81.29 12480.38 12884.01 14788.39 18961.96 23592.56 13186.79 29777.66 7976.63 13891.42 14546.34 26595.24 16874.36 14889.23 10294.85 79
112181.25 12580.05 13084.87 12192.30 9464.31 18587.91 26391.39 16859.44 31379.94 9992.91 11657.09 15697.01 9266.63 21192.81 6393.29 139
thisisatest053081.15 12680.07 12984.39 13788.26 19365.63 14691.40 17594.62 3671.27 20870.93 19789.18 17672.47 2796.04 13165.62 22676.89 20291.49 180
Fast-Effi-MVS+81.14 12780.01 13284.51 13490.24 14765.86 13994.12 5989.15 25273.81 13575.37 15288.26 18857.26 15494.53 19266.97 21084.92 13893.15 144
HQP-MVS81.14 12780.64 12382.64 17787.54 20863.66 20294.06 6291.70 15579.80 4374.18 15890.30 16451.63 22095.61 15177.63 12678.90 18088.63 216
hse-mvs281.12 12981.11 11781.16 21786.52 22557.48 30089.40 23891.16 17781.45 2782.73 7390.49 16060.11 12594.58 18687.69 4260.41 31591.41 183
SR-MVS-dyc-post81.06 13080.70 12182.15 19292.02 10158.56 28790.90 19790.45 19962.76 28778.89 11294.46 7651.26 22395.61 15178.77 11786.77 12592.28 168
HyFIR lowres test81.03 13179.56 14185.43 10487.81 20568.11 7890.18 21990.01 22370.65 22072.95 17086.06 21563.61 9494.50 19475.01 14279.75 17493.67 129
nrg03080.93 13279.86 13584.13 14483.69 27068.83 6093.23 10091.20 17575.55 10375.06 15388.22 19163.04 10394.74 18181.88 9066.88 26188.82 214
Vis-MVSNetpermissive80.92 13379.98 13483.74 15188.48 18461.80 23793.44 9488.26 28173.96 13177.73 12491.76 14149.94 23494.76 17965.84 22390.37 9694.65 89
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
test111180.84 13480.02 13183.33 16487.87 20460.76 25792.62 12586.86 29677.86 7575.73 14591.39 14746.35 26494.70 18572.79 15788.68 10894.52 95
131480.70 13578.95 15385.94 8587.77 20667.56 9187.91 26392.55 12272.17 17667.44 24393.09 10950.27 23197.04 9171.68 17287.64 11793.23 142
RRT_test8_iter0580.61 13679.62 13983.60 15891.87 11266.90 11393.42 9793.68 7277.09 8868.83 22585.63 22066.82 5595.42 16076.46 13362.74 29188.48 219
tpmrst80.57 13779.14 15284.84 12290.10 14968.28 7381.70 30789.72 23477.63 8175.96 14379.54 29564.94 7692.71 25075.43 13677.28 19993.55 132
1112_ss80.56 13879.83 13682.77 17388.65 18160.78 25592.29 13588.36 27672.58 16072.46 18094.95 6265.09 7393.42 23166.38 21777.71 18994.10 111
VDDNet80.50 13978.26 16087.21 4186.19 23169.79 4194.48 4891.31 17160.42 30579.34 10690.91 15238.48 29896.56 11682.16 8881.05 16795.27 63
BH-w/o80.49 14079.30 14884.05 14690.83 13764.36 18493.60 8789.42 24174.35 12169.09 21890.15 16755.23 18395.61 15164.61 23486.43 13192.17 173
TAMVS80.37 14179.45 14483.13 16885.14 24763.37 20691.23 18690.76 19374.81 11772.65 17488.49 18260.63 12092.95 23869.41 18881.95 16093.08 148
HQP_MVS80.34 14279.75 13782.12 19586.94 21962.42 22693.13 10291.31 17178.81 6172.53 17789.14 17850.66 22795.55 15776.74 12978.53 18588.39 222
HPM-MVS_fast80.25 14379.55 14382.33 18591.55 12059.95 27191.32 18389.16 25165.23 27174.71 15593.07 11247.81 25595.74 14274.87 14688.23 11191.31 188
ab-mvs80.18 14478.31 15985.80 9088.44 18665.49 15183.00 30192.67 11571.82 18977.36 13185.01 22454.50 19096.59 11376.35 13475.63 20895.32 57
IS-MVSNet80.14 14579.41 14582.33 18587.91 20260.08 27091.97 15288.27 27972.90 15571.44 19491.73 14361.44 11393.66 22662.47 25086.53 12993.24 141
test-LLR80.10 14679.56 14181.72 20486.93 22161.17 24792.70 12091.54 16071.51 20375.62 14786.94 20653.83 19992.38 26472.21 16484.76 14191.60 178
PVSNet73.49 880.05 14778.63 15584.31 14090.92 13364.97 16792.47 13291.05 18679.18 5372.43 18190.51 15937.05 31494.06 20968.06 19986.00 13293.90 124
UA-Net80.02 14879.65 13881.11 22089.33 16657.72 29586.33 28089.00 26077.44 8481.01 8889.15 17759.33 13795.90 13661.01 25784.28 14889.73 206
test-mter79.96 14979.38 14781.72 20486.93 22161.17 24792.70 12091.54 16073.85 13375.62 14786.94 20649.84 23692.38 26472.21 16484.76 14191.60 178
QAPM79.95 15077.39 17987.64 2989.63 15871.41 1893.30 9893.70 7165.34 27067.39 24691.75 14247.83 25498.96 1657.71 27289.81 9892.54 161
UGNet79.87 15178.68 15483.45 16389.96 15161.51 24392.13 14090.79 19276.83 9178.85 11786.33 21238.16 30096.17 12467.93 20187.17 12092.67 157
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 15279.20 15081.70 20689.85 15358.34 28988.47 25690.07 21862.56 29077.71 12593.08 11047.65 25796.78 10877.94 12485.45 13689.99 203
tpm279.80 15377.95 16685.34 10888.28 19268.26 7481.56 30991.42 16770.11 22577.59 12980.50 28267.40 4994.26 20267.34 20677.35 19793.51 133
thres20079.66 15478.33 15883.66 15792.54 9065.82 14293.06 10496.31 374.90 11673.30 16788.66 18059.67 13295.61 15147.84 30878.67 18389.56 209
test_part179.63 15577.86 16984.93 11792.50 9171.43 1794.15 5791.08 18472.51 16270.66 19884.98 22559.84 12995.07 17172.07 16762.94 28988.30 225
CPTT-MVS79.59 15679.16 15180.89 22991.54 12159.80 27392.10 14288.54 27460.42 30572.96 16993.28 10748.27 24992.80 24778.89 11686.50 13090.06 201
Test_1112_low_res79.56 15778.60 15682.43 18188.24 19560.39 26592.09 14387.99 28572.10 17871.84 18887.42 20164.62 7993.04 23565.80 22477.30 19893.85 126
tttt051779.50 15878.53 15782.41 18487.22 21561.43 24589.75 23194.76 2969.29 23567.91 23788.06 19372.92 2495.63 14962.91 24673.90 21690.16 200
FIs79.47 15979.41 14579.67 25285.95 23559.40 27891.68 16693.94 6178.06 7068.96 22288.28 18666.61 5891.77 27966.20 22074.99 20987.82 228
BH-RMVSNet79.46 16077.65 17184.89 11991.68 11665.66 14493.55 8988.09 28372.93 15373.37 16691.12 15046.20 26896.12 12656.28 27785.61 13592.91 153
PCF-MVS73.15 979.29 16177.63 17284.29 14186.06 23365.96 13787.03 27391.10 18169.86 22969.79 21490.64 15557.54 15396.59 11364.37 23682.29 15690.32 198
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Vis-MVSNet (Re-imp)79.24 16279.57 14078.24 27288.46 18552.29 32890.41 21289.12 25474.24 12469.13 21791.91 13865.77 6690.09 30359.00 26988.09 11492.33 165
114514_t79.17 16377.67 17083.68 15595.32 3065.53 14992.85 11591.60 15963.49 28067.92 23690.63 15746.65 26195.72 14767.01 20983.54 15189.79 204
VPA-MVSNet79.03 16478.00 16482.11 19885.95 23564.48 17693.22 10194.66 3475.05 11474.04 16384.95 22652.17 21593.52 22874.90 14567.04 26088.32 224
OPM-MVS79.00 16578.09 16281.73 20383.52 27363.83 19491.64 16890.30 20976.36 9771.97 18789.93 17146.30 26795.17 16975.10 13977.70 19086.19 258
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EI-MVSNet78.97 16678.22 16181.25 21485.33 24362.73 22489.53 23593.21 9272.39 16872.14 18490.13 16860.99 11694.72 18267.73 20372.49 22586.29 255
AdaColmapbinary78.94 16777.00 18484.76 12396.34 1965.86 13992.66 12487.97 28662.18 29370.56 19992.37 13143.53 28097.35 7364.50 23582.86 15391.05 192
GeoE78.90 16877.43 17583.29 16588.95 17562.02 23392.31 13486.23 30370.24 22471.34 19589.27 17554.43 19494.04 21263.31 24280.81 17093.81 127
miper_enhance_ethall78.86 16977.97 16581.54 20888.00 20165.17 15791.41 17389.15 25275.19 11268.79 22683.98 23667.17 5192.82 24572.73 15865.30 26886.62 251
VPNet78.82 17077.53 17482.70 17584.52 25766.44 12593.93 7292.23 13080.46 4072.60 17588.38 18549.18 24293.13 23472.47 16263.97 28588.55 218
EPNet_dtu78.80 17179.26 14977.43 28088.06 19849.71 34191.96 15391.95 14377.67 7876.56 14091.28 14958.51 14490.20 30156.37 27680.95 16892.39 163
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
tfpn200view978.79 17277.43 17582.88 17192.21 9864.49 17492.05 14696.28 473.48 14371.75 19088.26 18860.07 12795.32 16445.16 31877.58 19288.83 212
TR-MVS78.77 17377.37 18082.95 17090.49 14160.88 25393.67 8490.07 21870.08 22674.51 15691.37 14845.69 26995.70 14860.12 26380.32 17192.29 167
mvs-test178.74 17477.95 16681.14 21883.22 27557.13 30493.96 6787.78 28775.42 10572.68 17390.80 15445.08 27394.54 19175.08 14077.49 19591.74 177
thres40078.68 17577.43 17582.43 18192.21 9864.49 17492.05 14696.28 473.48 14371.75 19088.26 18860.07 12795.32 16445.16 31877.58 19287.48 232
BH-untuned78.68 17577.08 18183.48 16289.84 15463.74 19792.70 12088.59 27271.57 20066.83 25288.65 18151.75 21895.39 16259.03 26884.77 14091.32 187
OMC-MVS78.67 17777.91 16880.95 22785.76 23957.40 30288.49 25588.67 26973.85 13372.43 18192.10 13549.29 24194.55 19072.73 15877.89 18890.91 193
tpm78.58 17877.03 18283.22 16685.94 23764.56 17283.21 29991.14 18078.31 6673.67 16579.68 29364.01 8692.09 27366.07 22171.26 23593.03 149
OpenMVScopyleft70.45 1178.54 17975.92 19886.41 7285.93 23871.68 1692.74 11792.51 12366.49 26164.56 26791.96 13743.88 27998.10 3954.61 28190.65 9389.44 210
EPMVS78.49 18075.98 19786.02 8291.21 12869.68 4580.23 31991.20 17575.25 11172.48 17978.11 30354.65 18993.69 22557.66 27383.04 15294.69 85
AUN-MVS78.37 18177.43 17581.17 21686.60 22457.45 30189.46 23791.16 17774.11 12674.40 15790.49 16055.52 18094.57 18774.73 14760.43 31491.48 181
thres100view90078.37 18177.01 18382.46 18091.89 10963.21 21091.19 19096.33 172.28 17170.45 20287.89 19560.31 12295.32 16445.16 31877.58 19288.83 212
GA-MVS78.33 18376.23 19484.65 12983.65 27166.30 12991.44 17290.14 21676.01 9970.32 20484.02 23542.50 28394.72 18270.98 17477.00 20192.94 152
cascas78.18 18475.77 20085.41 10587.14 21769.11 5392.96 11091.15 17966.71 25970.47 20086.07 21437.49 30896.48 11870.15 18279.80 17390.65 195
UniMVSNet_NR-MVSNet78.15 18577.55 17379.98 24384.46 25960.26 26692.25 13693.20 9477.50 8368.88 22386.61 20866.10 6192.13 27166.38 21762.55 29287.54 230
thres600view778.00 18676.66 18882.03 20091.93 10663.69 20091.30 18496.33 172.43 16670.46 20187.89 19560.31 12294.92 17742.64 33076.64 20387.48 232
FC-MVSNet-test77.99 18778.08 16377.70 27584.89 25255.51 31490.27 21693.75 7076.87 8966.80 25387.59 19865.71 6790.23 30062.89 24773.94 21487.37 235
Anonymous20240521177.96 18875.33 20485.87 8793.73 6064.52 17394.85 4485.36 31162.52 29176.11 14290.18 16629.43 33997.29 7768.51 19777.24 20095.81 44
cl2277.94 18976.78 18681.42 21087.57 20764.93 16990.67 20588.86 26472.45 16567.63 24282.68 24964.07 8592.91 24371.79 16865.30 26886.44 252
XXY-MVS77.94 18976.44 19182.43 18182.60 28164.44 17892.01 14891.83 14973.59 14170.00 20985.82 21754.43 19494.76 17969.63 18568.02 25488.10 227
MS-PatchMatch77.90 19176.50 19082.12 19585.99 23469.95 3791.75 16492.70 11373.97 13062.58 28684.44 23241.11 28895.78 14063.76 24092.17 7280.62 328
FMVSNet377.73 19276.04 19682.80 17291.20 12968.99 5791.87 15591.99 14173.35 14567.04 24983.19 24556.62 16892.14 27059.80 26569.34 24387.28 238
miper_ehance_all_eth77.60 19376.44 19181.09 22485.70 24064.41 18190.65 20688.64 27172.31 16967.37 24782.52 25064.77 7892.64 25670.67 17865.30 26886.24 257
UniMVSNet (Re)77.58 19476.78 18679.98 24384.11 26560.80 25491.76 16293.17 9776.56 9569.93 21284.78 22863.32 9992.36 26664.89 23362.51 29486.78 245
PatchmatchNetpermissive77.46 19574.63 21085.96 8489.55 16170.35 2979.97 32389.55 23772.23 17370.94 19676.91 31457.03 15892.79 24854.27 28381.17 16694.74 84
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v2v48277.42 19675.65 20282.73 17480.38 29867.13 10691.85 15790.23 21375.09 11369.37 21583.39 24353.79 20194.44 19571.77 16965.00 27486.63 250
RRT_MVS77.38 19776.59 18979.77 25090.91 13463.61 20491.15 19190.91 19072.28 17172.06 18687.28 20443.92 27889.04 31073.32 15067.47 25886.67 246
CHOSEN 280x42077.35 19876.95 18578.55 26787.07 21862.68 22569.71 34682.95 33268.80 24271.48 19387.27 20566.03 6284.00 34076.47 13282.81 15588.95 211
PS-MVSNAJss77.26 19976.31 19380.13 24080.64 29659.16 28290.63 20991.06 18572.80 15668.58 23084.57 23153.55 20393.96 21772.97 15371.96 22987.27 239
gg-mvs-nofinetune77.18 20074.31 21785.80 9091.42 12368.36 7071.78 34094.72 3149.61 34477.12 13445.92 36177.41 893.98 21667.62 20493.16 5795.05 73
MVP-Stereo77.12 20176.23 19479.79 24981.72 28766.34 12889.29 23990.88 19170.56 22162.01 28982.88 24649.34 23994.13 20465.55 22893.80 4678.88 341
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
X-MVStestdata76.86 20274.13 22285.05 11493.22 7063.78 19592.92 11392.66 11673.99 12878.18 12110.19 37355.25 18197.41 6979.16 11191.58 7993.95 120
DU-MVS76.86 20275.84 19979.91 24582.96 27960.26 26691.26 18591.54 16076.46 9668.88 22386.35 21056.16 17292.13 27166.38 21762.55 29287.35 236
Anonymous2024052976.84 20474.15 22184.88 12091.02 13064.95 16893.84 8091.09 18253.57 33473.00 16887.42 20135.91 31897.32 7569.14 19272.41 22792.36 164
c3_l76.83 20575.47 20380.93 22885.02 25064.18 19090.39 21388.11 28271.66 19366.65 25481.64 26263.58 9692.56 25769.31 19062.86 29086.04 263
WR-MVS76.76 20675.74 20179.82 24884.60 25562.27 23192.60 12692.51 12376.06 9867.87 23985.34 22156.76 16490.24 29962.20 25163.69 28786.94 243
v114476.73 20774.88 20782.27 18780.23 30366.60 12291.68 16690.21 21573.69 13869.06 22081.89 25752.73 21194.40 19669.21 19165.23 27185.80 269
IterMVS-LS76.49 20875.18 20680.43 23384.49 25862.74 22390.64 20788.80 26572.40 16765.16 26281.72 26060.98 11792.27 26967.74 20264.65 27986.29 255
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
V4276.46 20974.55 21382.19 19179.14 31567.82 8590.26 21789.42 24173.75 13668.63 22981.89 25751.31 22294.09 20671.69 17164.84 27584.66 285
v14876.19 21074.47 21581.36 21180.05 30464.44 17891.75 16490.23 21373.68 13967.13 24880.84 27755.92 17893.86 22368.95 19461.73 30385.76 272
Effi-MVS+-dtu76.14 21175.28 20578.72 26683.22 27555.17 31689.87 22887.78 28775.42 10567.98 23581.43 26645.08 27392.52 25975.08 14071.63 23088.48 219
cl____76.07 21274.67 20880.28 23685.15 24661.76 23990.12 22088.73 26771.16 20965.43 25981.57 26461.15 11492.95 23866.54 21462.17 29686.13 261
DIV-MVS_self_test76.07 21274.67 20880.28 23685.14 24761.75 24090.12 22088.73 26771.16 20965.42 26081.60 26361.15 11492.94 24266.54 21462.16 29886.14 259
FMVSNet276.07 21274.01 22482.26 18988.85 17667.66 8991.33 18291.61 15870.84 21565.98 25682.25 25348.03 25092.00 27558.46 27068.73 24987.10 240
v14419276.05 21574.03 22382.12 19579.50 30966.55 12491.39 17789.71 23572.30 17068.17 23381.33 26951.75 21894.03 21467.94 20064.19 28185.77 270
NR-MVSNet76.05 21574.59 21180.44 23282.96 27962.18 23290.83 20191.73 15277.12 8760.96 29286.35 21059.28 13891.80 27860.74 25861.34 30787.35 236
v119275.98 21773.92 22582.15 19279.73 30566.24 13191.22 18789.75 22972.67 15868.49 23181.42 26749.86 23594.27 20067.08 20865.02 27385.95 266
eth_miper_zixun_eth75.96 21874.40 21680.66 23084.66 25463.02 21489.28 24088.27 27971.88 18465.73 25781.65 26159.45 13492.81 24668.13 19860.53 31286.14 259
bset_n11_16_dypcd75.95 21974.16 22081.30 21376.91 33465.14 16088.89 24887.48 29074.30 12369.90 21383.40 24242.16 28692.42 26278.39 12066.03 26586.32 254
TranMVSNet+NR-MVSNet75.86 22074.52 21479.89 24682.44 28260.64 26291.37 18091.37 16976.63 9367.65 24186.21 21352.37 21491.55 28361.84 25360.81 31087.48 232
SCA75.82 22172.76 23685.01 11686.63 22370.08 3281.06 31389.19 24971.60 19970.01 20877.09 31245.53 27090.25 29660.43 26073.27 21894.68 86
LPG-MVS_test75.82 22174.58 21279.56 25684.31 26259.37 27990.44 21089.73 23269.49 23264.86 26388.42 18338.65 29694.30 19872.56 16072.76 22285.01 282
GBi-Net75.65 22373.83 22681.10 22188.85 17665.11 16190.01 22490.32 20570.84 21567.04 24980.25 28748.03 25091.54 28459.80 26569.34 24386.64 247
test175.65 22373.83 22681.10 22188.85 17665.11 16190.01 22490.32 20570.84 21567.04 24980.25 28748.03 25091.54 28459.80 26569.34 24386.64 247
v192192075.63 22573.49 23082.06 19979.38 31066.35 12791.07 19589.48 23871.98 17967.99 23481.22 27249.16 24493.90 22066.56 21364.56 28085.92 268
ACMP71.68 1075.58 22674.23 21979.62 25484.97 25159.64 27490.80 20289.07 25770.39 22262.95 28287.30 20338.28 29993.87 22172.89 15471.45 23385.36 278
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
v875.35 22773.26 23281.61 20780.67 29566.82 11589.54 23489.27 24571.65 19463.30 28080.30 28654.99 18794.06 20967.33 20762.33 29583.94 290
tpm cat175.30 22872.21 24484.58 13288.52 18267.77 8678.16 33288.02 28461.88 29868.45 23276.37 31860.65 11994.03 21453.77 28674.11 21291.93 175
PLCcopyleft68.80 1475.23 22973.68 22879.86 24792.93 7958.68 28690.64 20788.30 27760.90 30264.43 27190.53 15842.38 28494.57 18756.52 27576.54 20486.33 253
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v124075.21 23072.98 23481.88 20179.20 31266.00 13590.75 20489.11 25571.63 19867.41 24581.22 27247.36 25893.87 22165.46 22964.72 27885.77 270
Fast-Effi-MVS+-dtu75.04 23173.37 23180.07 24180.86 29259.52 27791.20 18985.38 31071.90 18265.20 26184.84 22741.46 28792.97 23766.50 21672.96 22187.73 229
dp75.01 23272.09 24583.76 15089.28 16766.22 13279.96 32489.75 22971.16 20967.80 24077.19 31151.81 21792.54 25850.39 29471.44 23492.51 162
TAPA-MVS70.22 1274.94 23373.53 22979.17 26190.40 14452.07 32989.19 24389.61 23662.69 28970.07 20792.67 12348.89 24794.32 19738.26 34479.97 17291.12 191
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v1074.77 23472.54 24181.46 20980.33 30166.71 11989.15 24489.08 25670.94 21363.08 28179.86 29152.52 21294.04 21265.70 22562.17 29683.64 292
XVG-OURS-SEG-HR74.70 23573.08 23379.57 25578.25 32557.33 30380.49 31587.32 29263.22 28368.76 22790.12 17044.89 27591.59 28270.55 18074.09 21389.79 204
ACMM69.62 1374.34 23672.73 23779.17 26184.25 26457.87 29390.36 21489.93 22463.17 28465.64 25886.04 21637.79 30694.10 20565.89 22271.52 23285.55 275
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA74.31 23772.30 24380.32 23491.49 12261.66 24190.85 20080.72 33856.67 32763.85 27590.64 15546.75 26090.84 29153.79 28575.99 20788.47 221
XVG-OURS74.25 23872.46 24279.63 25378.45 32457.59 29880.33 31787.39 29163.86 27868.76 22789.62 17440.50 29091.72 28069.00 19374.25 21189.58 207
CVMVSNet74.04 23974.27 21873.33 31185.33 24343.94 35789.53 23588.39 27554.33 33370.37 20390.13 16849.17 24384.05 33861.83 25479.36 17691.99 174
Baseline_NR-MVSNet73.99 24072.83 23577.48 27980.78 29359.29 28191.79 15984.55 31968.85 24168.99 22180.70 27856.16 17292.04 27462.67 24860.98 30981.11 322
pmmvs473.92 24171.81 24880.25 23879.17 31365.24 15587.43 27087.26 29467.64 25363.46 27883.91 23748.96 24691.53 28762.94 24565.49 26783.96 289
D2MVS73.80 24272.02 24679.15 26379.15 31462.97 21588.58 25490.07 21872.94 15259.22 30078.30 30042.31 28592.70 25265.59 22772.00 22881.79 319
CR-MVSNet73.79 24370.82 25582.70 17583.15 27767.96 8170.25 34384.00 32473.67 14069.97 21072.41 33357.82 15089.48 30752.99 28973.13 21990.64 196
test_djsdf73.76 24472.56 24077.39 28177.00 33353.93 32189.07 24690.69 19465.80 26563.92 27382.03 25643.14 28292.67 25372.83 15568.53 25085.57 274
pmmvs573.35 24571.52 25078.86 26578.64 32260.61 26391.08 19386.90 29567.69 25063.32 27983.64 23844.33 27790.53 29362.04 25266.02 26685.46 276
Anonymous2023121173.08 24670.39 25781.13 21990.62 14063.33 20791.40 17590.06 22151.84 33864.46 27080.67 28036.49 31694.07 20863.83 23964.17 28285.98 265
miper_lstm_enhance73.05 24771.73 24977.03 28583.80 26858.32 29081.76 30588.88 26269.80 23061.01 29178.23 30257.19 15587.51 32565.34 23059.53 31785.27 281
jajsoiax73.05 24771.51 25177.67 27677.46 33054.83 31788.81 25090.04 22269.13 23962.85 28483.51 24031.16 33492.75 24970.83 17569.80 23985.43 277
LCM-MVSNet-Re72.93 24971.84 24776.18 29488.49 18348.02 34680.07 32270.17 35873.96 13152.25 32880.09 29049.98 23388.24 31667.35 20584.23 14992.28 168
pm-mvs172.89 25071.09 25378.26 27179.10 31657.62 29790.80 20289.30 24467.66 25162.91 28381.78 25949.11 24592.95 23860.29 26258.89 32084.22 288
tpmvs72.88 25169.76 26382.22 19090.98 13167.05 10878.22 33188.30 27763.10 28564.35 27274.98 32555.09 18694.27 20043.25 32469.57 24285.34 279
test0.0.03 172.76 25272.71 23872.88 31580.25 30247.99 34791.22 18789.45 23971.51 20362.51 28787.66 19753.83 19985.06 33550.16 29567.84 25785.58 273
UniMVSNet_ETH3D72.74 25370.53 25679.36 25878.62 32356.64 30785.01 28489.20 24863.77 27964.84 26584.44 23234.05 32391.86 27763.94 23870.89 23789.57 208
mvs_tets72.71 25471.11 25277.52 27777.41 33154.52 31988.45 25789.76 22868.76 24462.70 28583.26 24429.49 33892.71 25070.51 18169.62 24185.34 279
FMVSNet172.71 25469.91 26181.10 22183.60 27265.11 16190.01 22490.32 20563.92 27763.56 27780.25 28736.35 31791.54 28454.46 28266.75 26286.64 247
IterMVS72.65 25670.83 25478.09 27382.17 28362.96 21687.64 26886.28 30171.56 20160.44 29478.85 29845.42 27286.66 32963.30 24361.83 30084.65 286
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PatchMatch-RL72.06 25769.98 25878.28 27089.51 16255.70 31383.49 29383.39 33061.24 30163.72 27682.76 24734.77 32193.03 23653.37 28877.59 19186.12 262
PVSNet_068.08 1571.81 25868.32 27082.27 18784.68 25362.31 23088.68 25290.31 20875.84 10057.93 31180.65 28137.85 30594.19 20369.94 18329.05 36590.31 199
MIMVSNet71.64 25968.44 26881.23 21581.97 28664.44 17873.05 33988.80 26569.67 23164.59 26674.79 32632.79 32687.82 32053.99 28476.35 20591.42 182
IterMVS-SCA-FT71.55 26069.97 25976.32 29281.48 28860.67 26187.64 26885.99 30666.17 26359.50 29878.88 29745.53 27083.65 34262.58 24961.93 29984.63 287
v7n71.31 26168.65 26679.28 25976.40 33660.77 25686.71 27889.45 23964.17 27658.77 30578.24 30144.59 27693.54 22757.76 27161.75 30283.52 295
anonymousdsp71.14 26269.37 26476.45 29172.95 34654.71 31884.19 28888.88 26261.92 29762.15 28879.77 29238.14 30191.44 28968.90 19567.45 25983.21 301
F-COLMAP70.66 26368.44 26877.32 28286.37 22955.91 31188.00 26186.32 30056.94 32557.28 31488.07 19233.58 32492.49 26051.02 29268.37 25183.55 293
WR-MVS_H70.59 26469.94 26072.53 31781.03 29151.43 33287.35 27192.03 14067.38 25460.23 29580.70 27855.84 17983.45 34446.33 31458.58 32282.72 307
CP-MVSNet70.50 26569.91 26172.26 32080.71 29451.00 33587.23 27290.30 20967.84 24859.64 29782.69 24850.23 23282.30 35251.28 29159.28 31883.46 297
RPMNet70.42 26665.68 28284.63 13183.15 27767.96 8170.25 34390.45 19946.83 35269.97 21065.10 35056.48 17195.30 16735.79 34973.13 21990.64 196
tfpnnormal70.10 26767.36 27378.32 26983.45 27460.97 25288.85 24992.77 11164.85 27260.83 29378.53 29943.52 28193.48 22931.73 36061.70 30480.52 329
TransMVSNet (Re)70.07 26867.66 27277.31 28380.62 29759.13 28391.78 16184.94 31565.97 26460.08 29680.44 28350.78 22691.87 27648.84 30145.46 34980.94 324
CL-MVSNet_self_test69.92 26968.09 27175.41 29773.25 34555.90 31290.05 22389.90 22569.96 22761.96 29076.54 31551.05 22587.64 32249.51 29950.59 34182.70 309
DP-MVS69.90 27066.48 27680.14 23995.36 2962.93 21789.56 23276.11 34550.27 34357.69 31285.23 22239.68 29295.73 14333.35 35471.05 23681.78 320
PS-CasMVS69.86 27169.13 26572.07 32380.35 30050.57 33787.02 27489.75 22967.27 25559.19 30182.28 25246.58 26282.24 35350.69 29359.02 31983.39 299
MSDG69.54 27265.73 28180.96 22685.11 24963.71 19984.19 28883.28 33156.95 32454.50 31984.03 23431.50 33296.03 13242.87 32869.13 24683.14 303
PEN-MVS69.46 27368.56 26772.17 32279.27 31149.71 34186.90 27689.24 24667.24 25859.08 30282.51 25147.23 25983.54 34348.42 30357.12 32383.25 300
LS3D69.17 27466.40 27777.50 27891.92 10756.12 31085.12 28380.37 33946.96 35056.50 31687.51 20037.25 30993.71 22432.52 35979.40 17582.68 310
PatchT69.11 27565.37 28680.32 23482.07 28563.68 20167.96 35287.62 28950.86 34169.37 21565.18 34957.09 15688.53 31441.59 33366.60 26388.74 215
KD-MVS_2432*160069.03 27666.37 27877.01 28685.56 24161.06 25081.44 31090.25 21167.27 25558.00 30976.53 31654.49 19187.63 32348.04 30535.77 36082.34 313
miper_refine_blended69.03 27666.37 27877.01 28685.56 24161.06 25081.44 31090.25 21167.27 25558.00 30976.53 31654.49 19187.63 32348.04 30535.77 36082.34 313
MVS_030468.99 27867.23 27574.28 30680.36 29952.54 32687.01 27586.36 29959.89 31166.22 25573.56 32924.25 34888.03 31857.34 27470.11 23882.27 315
ACMH63.93 1768.62 27964.81 28780.03 24285.22 24563.25 20887.72 26684.66 31860.83 30351.57 33179.43 29627.29 34494.96 17441.76 33164.84 27581.88 318
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
EG-PatchMatch MVS68.55 28065.41 28577.96 27478.69 32162.93 21789.86 22989.17 25060.55 30450.27 33677.73 30622.60 35394.06 20947.18 31172.65 22476.88 348
ADS-MVSNet68.54 28164.38 29481.03 22588.06 19866.90 11368.01 35084.02 32357.57 31964.48 26869.87 34238.68 29489.21 30940.87 33567.89 25586.97 241
DTE-MVSNet68.46 28267.33 27471.87 32577.94 32849.00 34486.16 28188.58 27366.36 26258.19 30682.21 25446.36 26383.87 34144.97 32155.17 33082.73 306
our_test_368.29 28364.69 28979.11 26478.92 31764.85 17088.40 25885.06 31360.32 30752.68 32676.12 32040.81 28989.80 30644.25 32355.65 32882.67 311
Patchmatch-RL test68.17 28464.49 29279.19 26071.22 35053.93 32170.07 34571.54 35769.22 23656.79 31562.89 35256.58 16988.61 31169.53 18752.61 33695.03 76
XVG-ACMP-BASELINE68.04 28565.53 28475.56 29674.06 34452.37 32778.43 32885.88 30762.03 29558.91 30481.21 27420.38 35791.15 29060.69 25968.18 25283.16 302
FMVSNet568.04 28565.66 28375.18 29984.43 26057.89 29283.54 29286.26 30261.83 29953.64 32473.30 33037.15 31285.08 33448.99 30061.77 30182.56 312
ppachtmachnet_test67.72 28763.70 29679.77 25078.92 31766.04 13488.68 25282.90 33360.11 30955.45 31775.96 32139.19 29390.55 29239.53 33952.55 33782.71 308
ACMH+65.35 1667.65 28864.55 29076.96 28884.59 25657.10 30588.08 26080.79 33758.59 31853.00 32581.09 27626.63 34692.95 23846.51 31261.69 30580.82 325
pmmvs667.57 28964.76 28876.00 29572.82 34853.37 32388.71 25186.78 29853.19 33557.58 31378.03 30435.33 32092.41 26355.56 27954.88 33282.21 316
Anonymous2023120667.53 29065.78 28072.79 31674.95 34047.59 34988.23 25987.32 29261.75 30058.07 30877.29 30937.79 30687.29 32742.91 32663.71 28683.48 296
Patchmtry67.53 29063.93 29578.34 26882.12 28464.38 18268.72 34784.00 32448.23 34959.24 29972.41 33357.82 15089.27 30846.10 31556.68 32781.36 321
USDC67.43 29264.51 29176.19 29377.94 32855.29 31578.38 32985.00 31473.17 14748.36 34280.37 28421.23 35592.48 26152.15 29064.02 28480.81 326
ADS-MVSNet266.90 29363.44 29877.26 28488.06 19860.70 26068.01 35075.56 34857.57 31964.48 26869.87 34238.68 29484.10 33740.87 33567.89 25586.97 241
CMPMVSbinary48.56 2166.77 29464.41 29373.84 30870.65 35350.31 33877.79 33385.73 30945.54 35344.76 35182.14 25535.40 31990.14 30263.18 24474.54 21081.07 323
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft61.12 1866.39 29562.92 30176.80 29076.51 33557.77 29489.22 24183.41 32955.48 33153.86 32377.84 30526.28 34793.95 21834.90 35168.76 24878.68 343
LTVRE_ROB59.60 1966.27 29663.54 29774.45 30384.00 26751.55 33167.08 35383.53 32758.78 31654.94 31880.31 28534.54 32293.23 23340.64 33768.03 25378.58 344
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 29762.45 30476.88 28981.42 29054.45 32057.49 36188.67 26949.36 34563.86 27446.86 36056.06 17590.25 29649.53 29868.83 24785.95 266
Patchmatch-test65.86 29860.94 31080.62 23183.75 26958.83 28458.91 36075.26 35044.50 35650.95 33577.09 31258.81 14387.90 31935.13 35064.03 28395.12 70
UnsupCasMVSNet_eth65.79 29963.10 29973.88 30770.71 35250.29 33981.09 31289.88 22672.58 16049.25 34074.77 32732.57 32887.43 32655.96 27841.04 35583.90 291
pmmvs-eth3d65.53 30062.32 30575.19 29869.39 35659.59 27582.80 30283.43 32862.52 29151.30 33372.49 33132.86 32587.16 32855.32 28050.73 34078.83 342
SixPastTwentyTwo64.92 30161.78 30874.34 30578.74 32049.76 34083.42 29679.51 34262.86 28650.27 33677.35 30730.92 33690.49 29445.89 31647.06 34682.78 304
OurMVSNet-221017-064.68 30262.17 30672.21 32176.08 33947.35 35080.67 31481.02 33656.19 32851.60 33079.66 29427.05 34588.56 31353.60 28753.63 33580.71 327
test_040264.54 30361.09 30974.92 30084.10 26660.75 25887.95 26279.71 34152.03 33752.41 32777.20 31032.21 33091.64 28123.14 36361.03 30872.36 355
testgi64.48 30462.87 30269.31 33071.24 34940.62 36185.49 28279.92 34065.36 26954.18 32183.49 24123.74 35184.55 33641.60 33260.79 31182.77 305
RPSCF64.24 30561.98 30771.01 32776.10 33845.00 35475.83 33675.94 34646.94 35158.96 30384.59 23031.40 33382.00 35447.76 30960.33 31686.04 263
EU-MVSNet64.01 30663.01 30067.02 33774.40 34338.86 36683.27 29786.19 30445.11 35454.27 32081.15 27536.91 31580.01 35748.79 30257.02 32482.19 317
test20.0363.83 30762.65 30367.38 33670.58 35439.94 36286.57 27984.17 32163.29 28251.86 32977.30 30837.09 31382.47 35038.87 34354.13 33479.73 335
MDA-MVSNet_test_wron63.78 30860.16 31174.64 30178.15 32660.41 26483.49 29384.03 32256.17 33039.17 35971.59 33937.22 31083.24 34742.87 32848.73 34380.26 332
YYNet163.76 30960.14 31274.62 30278.06 32760.19 26983.46 29583.99 32656.18 32939.25 35871.56 34037.18 31183.34 34542.90 32748.70 34480.32 331
K. test v363.09 31059.61 31473.53 31076.26 33749.38 34383.27 29777.15 34464.35 27447.77 34472.32 33528.73 34087.79 32149.93 29736.69 35983.41 298
COLMAP_ROBcopyleft57.96 2062.98 31159.65 31372.98 31481.44 28953.00 32583.75 29175.53 34948.34 34848.81 34181.40 26824.14 34990.30 29532.95 35660.52 31375.65 351
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
Anonymous2024052162.09 31259.08 31571.10 32667.19 35848.72 34583.91 29085.23 31250.38 34247.84 34371.22 34120.74 35685.51 33346.47 31358.75 32179.06 340
AllTest61.66 31358.06 31772.46 31879.57 30651.42 33380.17 32068.61 36051.25 33945.88 34681.23 27019.86 35886.58 33038.98 34157.01 32579.39 337
UnsupCasMVSNet_bld61.60 31457.71 31873.29 31268.73 35751.64 33078.61 32789.05 25857.20 32346.11 34561.96 35428.70 34188.60 31250.08 29638.90 35779.63 336
MDA-MVSNet-bldmvs61.54 31557.70 31973.05 31379.53 30857.00 30683.08 30081.23 33557.57 31934.91 36172.45 33232.79 32686.26 33235.81 34841.95 35375.89 350
KD-MVS_self_test60.87 31658.60 31667.68 33466.13 35939.93 36375.63 33784.70 31757.32 32249.57 33968.45 34529.55 33782.87 34848.09 30447.94 34580.25 333
TinyColmap60.32 31756.42 32372.00 32478.78 31953.18 32478.36 33075.64 34752.30 33641.59 35775.82 32314.76 36388.35 31535.84 34754.71 33374.46 352
MVS-HIRNet60.25 31855.55 32474.35 30484.37 26156.57 30871.64 34174.11 35134.44 36145.54 35042.24 36431.11 33589.81 30440.36 33876.10 20676.67 349
MIMVSNet160.16 31957.33 32068.67 33169.71 35544.13 35678.92 32684.21 32055.05 33244.63 35271.85 33723.91 35081.54 35632.63 35855.03 33180.35 330
PM-MVS59.40 32056.59 32167.84 33263.63 36141.86 35876.76 33463.22 36659.01 31551.07 33472.27 33611.72 36683.25 34661.34 25550.28 34278.39 345
new-patchmatchnet59.30 32156.48 32267.79 33365.86 36044.19 35582.47 30381.77 33459.94 31043.65 35566.20 34827.67 34381.68 35539.34 34041.40 35477.50 347
DSMNet-mixed56.78 32254.44 32563.79 33963.21 36229.44 37064.43 35564.10 36542.12 35851.32 33271.60 33831.76 33175.04 35936.23 34665.20 27286.87 244
pmmvs355.51 32351.50 32867.53 33557.90 36750.93 33680.37 31673.66 35240.63 35944.15 35464.75 35116.30 36078.97 35844.77 32240.98 35672.69 353
TDRefinement55.28 32451.58 32766.39 33859.53 36646.15 35376.23 33572.80 35344.60 35542.49 35676.28 31915.29 36182.39 35133.20 35543.75 35170.62 357
LF4IMVS54.01 32552.12 32659.69 34062.41 36439.91 36468.59 34868.28 36242.96 35744.55 35375.18 32414.09 36568.39 36341.36 33451.68 33870.78 356
N_pmnet50.55 32649.11 32954.88 34477.17 3324.02 38084.36 2872.00 37948.59 34645.86 34868.82 34432.22 32982.80 34931.58 36151.38 33977.81 346
new_pmnet49.31 32746.44 33057.93 34162.84 36340.74 36068.47 34962.96 36736.48 36035.09 36057.81 35614.97 36272.18 36132.86 35746.44 34760.88 361
FPMVS45.64 32843.10 33153.23 34651.42 37036.46 36764.97 35471.91 35529.13 36327.53 36361.55 3559.83 36865.01 36716.00 36755.58 32958.22 362
EGC-MVSNET42.35 32938.09 33255.11 34374.57 34146.62 35271.63 34255.77 3690.04 3740.24 37562.70 35314.24 36474.91 36017.59 36646.06 34843.80 363
LCM-MVSNet40.54 33035.79 33354.76 34536.92 37530.81 36951.41 36269.02 35922.07 36524.63 36445.37 3624.56 37565.81 36533.67 35334.50 36267.67 358
ANet_high40.27 33135.20 33455.47 34234.74 37634.47 36863.84 35671.56 35648.42 34718.80 36741.08 3659.52 36964.45 36820.18 3648.66 37267.49 359
test_method38.59 33235.16 33548.89 34854.33 36821.35 37545.32 36553.71 3707.41 37128.74 36251.62 3588.70 37052.87 36933.73 35232.89 36372.47 354
PMMVS237.93 33333.61 33650.92 34746.31 37224.76 37360.55 35950.05 37128.94 36420.93 36547.59 3594.41 37665.13 36625.14 36218.55 36762.87 360
Gipumacopyleft34.91 33431.44 33745.30 34970.99 35139.64 36519.85 36972.56 35420.10 36716.16 36921.47 3705.08 37471.16 36213.07 36843.70 35225.08 367
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft26.43 2231.84 33528.16 33842.89 35025.87 37827.58 37150.92 36349.78 37221.37 36614.17 37040.81 3662.01 37766.62 3649.61 37038.88 35834.49 366
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
E-PMN24.61 33624.00 34026.45 35343.74 37318.44 37760.86 35739.66 37315.11 3689.53 37222.10 3696.52 37246.94 3718.31 37110.14 36913.98 369
MVEpermissive24.84 2324.35 33719.77 34338.09 35134.56 37726.92 37226.57 36738.87 37511.73 37011.37 37127.44 3671.37 37850.42 37011.41 36914.60 36836.93 364
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
EMVS23.76 33823.20 34225.46 35441.52 37416.90 37860.56 35838.79 37614.62 3698.99 37320.24 3727.35 37145.82 3727.25 3729.46 37013.64 370
tmp_tt22.26 33923.75 34117.80 3555.23 37912.06 37935.26 36639.48 3742.82 37318.94 36644.20 36322.23 35424.64 37436.30 3459.31 37116.69 368
cdsmvs_eth3d_5k19.86 34026.47 3390.00 3590.00 3820.00 3830.00 37093.45 830.00 3770.00 37895.27 5049.56 2370.00 3780.00 3760.00 3750.00 374
wuyk23d11.30 34110.95 34412.33 35648.05 37119.89 37625.89 3681.92 3803.58 3723.12 3741.37 3740.64 37915.77 3756.23 3737.77 3731.35 371
ab-mvs-re7.91 34210.55 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37894.95 620.00 3820.00 3780.00 3760.00 3750.00 374
testmvs7.23 3439.62 3460.06 3580.04 3800.02 38284.98 2850.02 3810.03 3750.18 3761.21 3750.01 3810.02 3760.14 3740.01 3740.13 373
test1236.92 3449.21 3470.08 3570.03 3810.05 38181.65 3080.01 3820.02 3760.14 3770.85 3760.03 3800.02 3760.12 3750.00 3750.16 372
pcd_1.5k_mvsjas4.46 3455.95 3480.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37753.55 2030.00 3780.00 3760.00 3750.00 374
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3750.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3750.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3750.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3750.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3750.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3750.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3750.00 374
FOURS193.95 5161.77 23893.96 6791.92 14462.14 29486.57 34
MSC_two_6792asdad89.60 997.31 473.22 1195.05 2099.07 1392.01 1194.77 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 2099.07 1392.01 1194.77 2596.51 20
test_one_060196.32 2069.74 4394.18 5571.42 20690.67 1496.85 1274.45 18
eth-test20.00 382
eth-test0.00 382
ZD-MVS96.63 1165.50 15093.50 8170.74 21985.26 5295.19 5664.92 7797.29 7787.51 4493.01 59
RE-MVS-def80.48 12692.02 10158.56 28790.90 19790.45 19962.76 28778.89 11294.46 7649.30 24078.77 11786.77 12592.28 168
IU-MVS96.46 1369.91 3895.18 1380.75 3795.28 192.34 795.36 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 19492.07 697.21 574.58 1699.11 692.34 795.36 1496.59 15
test_241102_ONE96.45 1469.38 4894.44 4271.65 19492.11 497.05 876.79 999.11 6
9.1487.63 2593.86 5394.41 5094.18 5572.76 15786.21 3796.51 1966.64 5797.88 4990.08 2394.04 41
save fliter93.84 5467.89 8395.05 3992.66 11678.19 67
test_0728_THIRD72.48 16390.55 1596.93 1076.24 1199.08 1191.53 1594.99 1796.43 26
test_0728_SECOND88.70 1696.45 1470.43 2896.64 894.37 4999.15 291.91 1394.90 2196.51 20
test072696.40 1769.99 3496.76 694.33 5171.92 18091.89 897.11 773.77 20
GSMVS94.68 86
test_part296.29 2168.16 7790.78 12
sam_mvs157.85 14994.68 86
sam_mvs54.91 188
ambc69.61 32961.38 36541.35 35949.07 36485.86 30850.18 33866.40 34710.16 36788.14 31745.73 31744.20 35079.32 339
MTGPAbinary92.23 130
test_post178.95 32520.70 37153.05 20891.50 28860.43 260
test_post23.01 36856.49 17092.67 253
patchmatchnet-post67.62 34657.62 15290.25 296
GG-mvs-BLEND86.53 6691.91 10869.67 4675.02 33894.75 3078.67 11990.85 15377.91 794.56 18972.25 16393.74 4895.36 54
MTMP93.77 8232.52 377
gm-plane-assit88.42 18767.04 10978.62 6491.83 13997.37 7176.57 131
test9_res89.41 2494.96 1895.29 59
TEST994.18 4467.28 10094.16 5593.51 7971.75 19285.52 4895.33 4568.01 4297.27 81
test_894.19 4367.19 10394.15 5793.42 8671.87 18585.38 5095.35 4468.19 3996.95 101
agg_prior286.41 5594.75 3095.33 55
agg_prior94.16 4866.97 11193.31 8984.49 5796.75 110
TestCases72.46 31879.57 30651.42 33368.61 36051.25 33945.88 34681.23 27019.86 35886.58 33038.98 34157.01 32579.39 337
test_prior467.18 10593.92 73
test_prior295.10 3775.40 10785.25 5395.61 4067.94 4387.47 4594.77 25
test_prior86.42 7094.71 3767.35 9893.10 10196.84 10695.05 73
旧先验292.00 15159.37 31487.54 2893.47 23075.39 137
新几何291.41 173
新几何184.73 12592.32 9364.28 18791.46 16659.56 31279.77 10292.90 11756.95 16396.57 11563.40 24192.91 6193.34 136
旧先验191.94 10560.74 25991.50 16494.36 8065.23 7191.84 7494.55 91
无先验92.71 11992.61 12062.03 29597.01 9266.63 21193.97 119
原ACMM292.01 148
原ACMM184.42 13693.21 7264.27 18893.40 8865.39 26879.51 10592.50 12558.11 14896.69 11265.27 23193.96 4292.32 166
test22289.77 15561.60 24289.55 23389.42 24156.83 32677.28 13292.43 12952.76 21091.14 8893.09 147
testdata296.09 12761.26 256
segment_acmp65.94 63
testdata81.34 21289.02 17357.72 29589.84 22758.65 31785.32 5194.09 9357.03 15893.28 23269.34 18990.56 9593.03 149
testdata189.21 24277.55 82
test1287.09 4594.60 3968.86 5992.91 10782.67 7565.44 7097.55 6393.69 5194.84 82
plane_prior786.94 21961.51 243
plane_prior687.23 21462.32 22950.66 227
plane_prior591.31 17195.55 15776.74 12978.53 18588.39 222
plane_prior489.14 178
plane_prior361.95 23679.09 5672.53 177
plane_prior293.13 10278.81 61
plane_prior187.15 216
plane_prior62.42 22693.85 7779.38 4978.80 182
n20.00 383
nn0.00 383
door-mid66.01 364
lessismore_v073.72 30972.93 34747.83 34861.72 36845.86 34873.76 32828.63 34289.81 30447.75 31031.37 36483.53 294
LGP-MVS_train79.56 25684.31 26259.37 27989.73 23269.49 23264.86 26388.42 18338.65 29694.30 19872.56 16072.76 22285.01 282
test1193.01 103
door66.57 363
HQP5-MVS63.66 202
HQP-NCC87.54 20894.06 6279.80 4374.18 158
ACMP_Plane87.54 20894.06 6279.80 4374.18 158
BP-MVS77.63 126
HQP4-MVS74.18 15895.61 15188.63 216
HQP3-MVS91.70 15578.90 180
HQP2-MVS51.63 220
NP-MVS87.41 21163.04 21390.30 164
MDTV_nov1_ep13_2view59.90 27280.13 32167.65 25272.79 17254.33 19659.83 26492.58 160
MDTV_nov1_ep1372.61 23989.06 17268.48 6780.33 31790.11 21771.84 18871.81 18975.92 32253.01 20993.92 21948.04 30573.38 217
ACMMP++_ref71.63 230
ACMMP++69.72 240
Test By Simon54.21 197
ITE_SJBPF70.43 32874.44 34247.06 35177.32 34360.16 30854.04 32283.53 23923.30 35284.01 33943.07 32561.58 30680.21 334
DeepMVS_CXcopyleft34.71 35251.45 36924.73 37428.48 37831.46 36217.49 36852.75 3575.80 37342.60 37318.18 36519.42 36636.81 365