This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort by
MSP-MVS89.51 389.91 488.30 794.28 2773.46 1692.90 1494.11 680.27 1291.35 1194.16 3978.35 1096.77 2089.59 194.22 6094.67 16
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
test_0728_THIRD78.38 3292.12 895.78 481.46 597.40 489.42 296.57 594.67 16
APDe-MVS89.15 589.63 587.73 2794.49 1871.69 5593.83 293.96 1475.70 8891.06 1296.03 176.84 1297.03 1289.09 395.65 2894.47 23
DVP-MVS89.60 290.35 287.33 4295.27 571.25 5993.49 792.73 5877.33 4692.12 895.78 480.98 797.40 489.08 496.41 893.33 75
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
test_0728_SECOND87.71 3195.34 171.43 5893.49 794.23 597.49 189.08 496.41 894.21 32
SED-MVS90.08 190.85 187.77 2395.30 270.98 6593.57 594.06 1077.24 4893.10 195.72 682.99 197.44 289.07 696.63 294.88 7
test_241102_TWO94.06 1077.24 4892.78 495.72 681.26 697.44 289.07 696.58 494.26 31
IU-MVS95.30 271.25 5992.95 4966.81 23392.39 588.94 896.63 294.85 10
MP-MVS-pluss87.67 2187.72 2187.54 3693.64 4572.04 4989.80 8093.50 2375.17 9986.34 3695.29 1070.86 5796.00 5088.78 996.04 1294.58 19
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
SMA-MVScopyleft89.08 689.23 688.61 394.25 2873.73 892.40 2093.63 2074.77 10592.29 695.97 274.28 3197.24 888.58 1096.91 194.87 9
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
CNVR-MVS88.93 889.13 888.33 594.77 1073.82 790.51 6093.00 4280.90 988.06 2494.06 4476.43 1396.84 1788.48 1195.99 1594.34 27
TSAR-MVS + MP.88.02 1688.11 1587.72 2993.68 4472.13 4791.41 4492.35 7374.62 10988.90 1793.85 4975.75 1796.00 5087.80 1294.63 4995.04 3
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
ACMMP_NAP88.05 1588.08 1687.94 1593.70 4273.05 2190.86 5393.59 2176.27 7888.14 2295.09 1371.06 5696.67 2587.67 1396.37 1094.09 36
SD-MVS88.06 1388.50 1286.71 5492.60 7172.71 2891.81 3793.19 3577.87 3490.32 1394.00 4674.83 2493.78 13987.63 1494.27 5993.65 63
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
SteuartSystems-ACMMP88.72 988.86 988.32 692.14 7572.96 2493.73 393.67 1980.19 1488.10 2394.80 1473.76 3697.11 1087.51 1595.82 2094.90 6
Skip Steuart: Steuart Systems R&D Blog.
HPM-MVS++copyleft89.02 789.15 788.63 295.01 876.03 192.38 2392.85 5380.26 1387.78 2694.27 3475.89 1696.81 1987.45 1696.44 793.05 86
DPE-MVScopyleft89.48 489.98 388.01 1294.80 972.69 3091.59 3994.10 875.90 8492.29 695.66 881.67 497.38 687.44 1796.34 1193.95 44
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
xxxxxxxxxxxxxcwj87.88 1887.92 1887.77 2393.80 3972.35 4290.47 6389.69 16174.31 11489.16 1595.10 1175.65 1896.19 4287.07 1896.01 1394.79 11
SF-MVS88.46 1088.74 1087.64 3592.78 6471.95 5092.40 2094.74 275.71 8689.16 1595.10 1175.65 1896.19 4287.07 1896.01 1394.79 11
9.1488.26 1492.84 6391.52 4294.75 173.93 12488.57 2094.67 1775.57 2095.79 5586.77 2095.76 24
zzz-MVS87.53 2387.41 2687.90 1994.18 3274.25 390.23 7092.02 8779.45 1985.88 3894.80 1468.07 8196.21 4086.69 2195.34 3293.23 78
MTAPA87.23 3287.00 3387.90 1994.18 3274.25 386.58 17892.02 8779.45 1985.88 3894.80 1468.07 8196.21 4086.69 2195.34 3293.23 78
ETH3D-3000-0.188.09 1288.29 1387.50 3892.76 6571.89 5391.43 4394.70 374.47 11188.86 1894.61 1975.23 2195.84 5486.62 2395.92 1794.78 13
DeepPCF-MVS80.84 188.10 1188.56 1186.73 5392.24 7369.03 10589.57 8693.39 3077.53 4389.79 1494.12 4178.98 996.58 3385.66 2495.72 2594.58 19
MP-MVScopyleft87.71 2087.64 2287.93 1894.36 2673.88 592.71 1992.65 6377.57 3983.84 7594.40 3272.24 4796.28 3885.65 2595.30 3693.62 65
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
ZNCC-MVS87.94 1787.85 1988.20 994.39 2473.33 1893.03 1293.81 1776.81 6285.24 4794.32 3371.76 5196.93 1585.53 2695.79 2194.32 28
ETH3D cwj APD-0.1687.31 3187.27 2787.44 4091.60 8272.45 3990.02 7494.37 471.76 15687.28 3094.27 3475.18 2296.08 4685.16 2795.77 2293.80 55
HPM-MVScopyleft87.11 3486.98 3487.50 3893.88 3872.16 4692.19 2993.33 3176.07 8183.81 7693.95 4869.77 7096.01 4985.15 2894.66 4894.32 28
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
train_agg86.43 4486.20 4687.13 4693.26 5172.96 2488.75 10991.89 9668.69 22085.00 5093.10 6274.43 2795.41 7284.97 2995.71 2693.02 88
test9_res84.90 3095.70 2792.87 93
NCCC88.06 1388.01 1788.24 894.41 2273.62 991.22 4892.83 5481.50 685.79 4193.47 5673.02 4297.00 1484.90 3094.94 4094.10 35
MCST-MVS87.37 2987.25 2987.73 2794.53 1772.46 3889.82 7893.82 1673.07 14084.86 5792.89 6876.22 1496.33 3684.89 3295.13 3794.40 24
DeepC-MVS79.81 287.08 3686.88 3787.69 3391.16 8672.32 4490.31 6893.94 1577.12 5482.82 8994.23 3772.13 4997.09 1184.83 3395.37 3193.65 63
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SR-MVS86.73 3886.67 3986.91 4994.11 3572.11 4892.37 2492.56 6674.50 11086.84 3394.65 1867.31 9095.77 5684.80 3492.85 6992.84 94
agg_prior186.22 4886.09 5086.62 5692.85 6171.94 5188.59 11691.78 10268.96 21584.41 6593.18 6174.94 2394.93 9284.75 3595.33 3493.01 89
ZD-MVS94.38 2572.22 4592.67 6070.98 17187.75 2794.07 4374.01 3596.70 2384.66 3694.84 44
HFP-MVS87.58 2287.47 2487.94 1594.58 1473.54 1393.04 1093.24 3276.78 6484.91 5294.44 2870.78 5896.61 2984.53 3794.89 4293.66 58
ACMMPR87.44 2587.23 3088.08 1194.64 1173.59 1093.04 1093.20 3476.78 6484.66 6194.52 2168.81 7996.65 2684.53 3794.90 4194.00 42
Regformer-286.63 4286.53 4186.95 4889.33 12671.24 6288.43 11992.05 8682.50 186.88 3290.09 12374.45 2695.61 5984.38 3990.63 9294.01 41
region2R87.42 2787.20 3188.09 1094.63 1273.55 1193.03 1293.12 3776.73 6784.45 6494.52 2169.09 7696.70 2384.37 4094.83 4694.03 39
test117286.20 4986.22 4586.12 6793.95 3769.89 9191.79 3892.28 7575.07 10086.40 3594.58 2065.00 11595.56 6184.34 4192.60 7292.90 92
CANet86.45 4386.10 4987.51 3790.09 10670.94 6989.70 8492.59 6581.78 481.32 10591.43 9470.34 6297.23 984.26 4293.36 6594.37 25
APD-MVScopyleft87.44 2587.52 2387.19 4494.24 2972.39 4091.86 3692.83 5473.01 14288.58 1994.52 2173.36 3796.49 3484.26 4295.01 3892.70 96
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
CP-MVS87.11 3486.92 3587.68 3494.20 3173.86 693.98 192.82 5776.62 6983.68 7794.46 2567.93 8395.95 5284.20 4494.39 5593.23 78
testtj87.78 1987.78 2087.77 2394.55 1672.47 3792.23 2893.49 2474.75 10688.33 2194.43 3073.27 3997.02 1384.18 4594.84 4493.82 52
GST-MVS87.42 2787.26 2887.89 2294.12 3472.97 2392.39 2293.43 2876.89 6084.68 5893.99 4770.67 6196.82 1884.18 4595.01 3893.90 47
Regformer-186.41 4686.33 4286.64 5589.33 12670.93 7088.43 11991.39 11582.14 386.65 3490.09 12374.39 2995.01 9183.97 4790.63 9293.97 43
OPU-MVS89.06 194.62 1375.42 293.57 594.02 4582.45 396.87 1683.77 4896.48 694.88 7
#test#87.33 3087.13 3287.94 1594.58 1473.54 1392.34 2593.24 3275.23 9684.91 5294.44 2870.78 5896.61 2983.75 4994.89 4293.66 58
ETH3 D test640087.50 2487.44 2587.70 3293.71 4171.75 5490.62 5894.05 1370.80 17387.59 2993.51 5377.57 1196.63 2883.31 5095.77 2294.72 15
test_prior386.73 3886.86 3886.33 6092.61 6969.59 9688.85 10592.97 4775.41 9284.91 5293.54 5174.28 3195.48 6683.31 5095.86 1893.91 45
test_prior288.85 10575.41 9284.91 5293.54 5174.28 3183.31 5095.86 18
Regformer-485.68 5685.45 5786.35 5988.95 14369.67 9588.29 12991.29 11781.73 585.36 4590.01 12672.62 4495.35 7983.28 5387.57 12594.03 39
PHI-MVS86.43 4486.17 4887.24 4390.88 9270.96 6792.27 2794.07 972.45 14585.22 4891.90 8169.47 7296.42 3583.28 5395.94 1694.35 26
XVS87.18 3386.91 3688.00 1394.42 2073.33 1892.78 1592.99 4479.14 2183.67 7894.17 3867.45 8896.60 3183.06 5594.50 5294.07 37
X-MVStestdata80.37 14077.83 17488.00 1394.42 2073.33 1892.78 1592.99 4479.14 2183.67 7812.47 36267.45 8896.60 3183.06 5594.50 5294.07 37
APD-MVS_3200maxsize85.97 5085.88 5186.22 6492.69 6769.53 9891.93 3392.99 4473.54 13285.94 3794.51 2465.80 10795.61 5983.04 5792.51 7493.53 70
CS-MVS85.32 6285.66 5484.30 11288.28 16965.31 18191.18 4993.48 2678.06 3383.14 8490.53 11569.93 6795.45 6882.96 5893.40 6492.15 118
agg_prior282.91 5995.45 2992.70 96
mPP-MVS86.67 4186.32 4387.72 2994.41 2273.55 1192.74 1792.22 8076.87 6182.81 9094.25 3666.44 9796.24 3982.88 6094.28 5893.38 72
SR-MVS-dyc-post85.77 5385.61 5586.23 6393.06 5770.63 7791.88 3492.27 7673.53 13385.69 4294.45 2665.00 11595.56 6182.75 6191.87 7792.50 103
RE-MVS-def85.48 5693.06 5770.63 7791.88 3492.27 7673.53 13385.69 4294.45 2663.87 12282.75 6191.87 7792.50 103
hse-mvs383.15 8482.19 9286.02 7090.56 9770.85 7388.15 13689.16 17776.02 8284.67 5991.39 9561.54 15895.50 6582.71 6375.48 27091.72 129
hse-mvs281.72 10680.94 11284.07 12088.72 15467.68 13985.87 19787.26 22676.02 8284.67 5988.22 17561.54 15893.48 15582.71 6373.44 29791.06 146
PGM-MVS86.68 4086.27 4487.90 1994.22 3073.38 1790.22 7193.04 3875.53 9083.86 7494.42 3167.87 8596.64 2782.70 6594.57 5193.66 58
ACMMPcopyleft85.89 5285.39 5887.38 4193.59 4672.63 3292.74 1793.18 3676.78 6480.73 11493.82 5064.33 11896.29 3782.67 6690.69 9193.23 78
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
Regformer-385.23 6385.07 6485.70 7388.95 14369.01 10788.29 12989.91 15580.95 885.01 4990.01 12672.45 4594.19 12082.50 6787.57 12593.90 47
abl_685.23 6384.95 6786.07 6892.23 7470.48 8190.80 5592.08 8573.51 13585.26 4694.16 3962.75 13995.92 5382.46 6891.30 8691.81 127
diffmvs82.10 9881.88 10082.76 17583.00 27163.78 20983.68 24589.76 15872.94 14382.02 9689.85 12965.96 10690.79 24282.38 6987.30 13293.71 57
TSAR-MVS + GP.85.71 5585.33 5986.84 5091.34 8472.50 3589.07 9887.28 22576.41 7185.80 4090.22 12174.15 3495.37 7881.82 7091.88 7692.65 100
alignmvs85.48 5785.32 6085.96 7189.51 11969.47 10089.74 8292.47 6776.17 7987.73 2891.46 9370.32 6393.78 13981.51 7188.95 11094.63 18
canonicalmvs85.91 5185.87 5286.04 6989.84 11269.44 10390.45 6693.00 4276.70 6888.01 2591.23 9773.28 3893.91 13481.50 7288.80 11394.77 14
baseline84.93 6884.98 6584.80 9687.30 20065.39 17987.30 15692.88 5177.62 3784.04 7392.26 7571.81 5093.96 12781.31 7390.30 9695.03 4
casdiffmvs85.11 6685.14 6385.01 8687.20 20265.77 17287.75 14592.83 5477.84 3584.36 6892.38 7472.15 4893.93 13381.27 7490.48 9495.33 1
MVS_111021_HR85.14 6584.75 6986.32 6291.65 8172.70 2985.98 19390.33 14376.11 8082.08 9591.61 8871.36 5594.17 12281.02 7592.58 7392.08 120
HPM-MVS_fast85.35 6184.95 6786.57 5893.69 4370.58 8092.15 3191.62 10673.89 12582.67 9294.09 4262.60 14095.54 6480.93 7692.93 6793.57 67
CPTT-MVS83.73 7483.33 7784.92 9193.28 5070.86 7292.09 3290.38 13968.75 21979.57 12292.83 7060.60 17993.04 17880.92 7791.56 8290.86 154
ETV-MVS84.90 7084.67 7085.59 7489.39 12468.66 12188.74 11192.64 6479.97 1784.10 7185.71 24069.32 7495.38 7580.82 7891.37 8492.72 95
DeepC-MVS_fast79.65 386.91 3786.62 4087.76 2693.52 4772.37 4191.26 4593.04 3876.62 6984.22 6993.36 5871.44 5496.76 2180.82 7895.33 3494.16 33
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
nrg03083.88 7283.53 7484.96 8886.77 21069.28 10490.46 6592.67 6074.79 10482.95 8591.33 9672.70 4393.09 17480.79 8079.28 22792.50 103
EI-MVSNet-Vis-set84.19 7183.81 7385.31 7788.18 17167.85 13587.66 14789.73 16080.05 1682.95 8589.59 13770.74 6094.82 10080.66 8184.72 16193.28 77
MSLP-MVS++85.43 5985.76 5384.45 10491.93 7870.24 8290.71 5692.86 5277.46 4584.22 6992.81 7267.16 9292.94 18080.36 8294.35 5790.16 178
MVS_111021_LR82.61 9482.11 9384.11 11788.82 14871.58 5685.15 21386.16 24274.69 10780.47 11791.04 10462.29 14790.55 24680.33 8390.08 10190.20 177
DELS-MVS85.41 6085.30 6185.77 7288.49 16167.93 13485.52 21093.44 2778.70 2883.63 8089.03 15374.57 2595.71 5880.26 8494.04 6193.66 58
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
EI-MVSNet-UG-set83.81 7383.38 7685.09 8487.87 18067.53 14187.44 15389.66 16279.74 1882.23 9489.41 14670.24 6494.74 10379.95 8583.92 16992.99 90
CSCG86.41 4686.19 4787.07 4792.91 6072.48 3690.81 5493.56 2273.95 12283.16 8391.07 10375.94 1595.19 8279.94 8694.38 5693.55 68
OPM-MVS83.50 7882.95 8285.14 8288.79 15170.95 6889.13 9791.52 10977.55 4280.96 11291.75 8360.71 17594.50 10979.67 8786.51 14489.97 194
CDPH-MVS85.76 5485.29 6287.17 4593.49 4871.08 6388.58 11792.42 7168.32 22584.61 6293.48 5472.32 4696.15 4579.00 8895.43 3094.28 30
MVSFormer82.85 9082.05 9685.24 8087.35 19570.21 8390.50 6190.38 13968.55 22281.32 10589.47 14061.68 15593.46 15778.98 8990.26 9792.05 121
test_djsdf80.30 14179.32 14283.27 14683.98 25065.37 18090.50 6190.38 13968.55 22276.19 18988.70 15856.44 20893.46 15778.98 8980.14 21790.97 151
HQP_MVS83.64 7683.14 7885.14 8290.08 10768.71 11791.25 4692.44 6879.12 2378.92 13091.00 10760.42 18195.38 7578.71 9186.32 14691.33 139
plane_prior592.44 6895.38 7578.71 9186.32 14691.33 139
bset_n11_16_dypcd77.12 21175.47 21782.06 18581.12 30565.99 16581.37 27583.20 28269.94 19076.09 19483.38 27847.75 28392.26 19978.51 9377.91 23687.95 246
RRT_MVS79.88 14978.38 16084.38 10685.42 22770.60 7988.71 11388.75 19672.30 15078.83 13289.14 14844.44 30592.18 20378.50 9479.33 22690.35 172
LPG-MVS_test82.08 9981.27 10584.50 10289.23 13468.76 11390.22 7191.94 9475.37 9476.64 17991.51 9054.29 22194.91 9478.44 9583.78 17089.83 199
LGP-MVS_train84.50 10289.23 13468.76 11391.94 9475.37 9476.64 17991.51 9054.29 22194.91 9478.44 9583.78 17089.83 199
lupinMVS81.39 11580.27 12484.76 9787.35 19570.21 8385.55 20686.41 23762.85 28381.32 10588.61 16261.68 15592.24 20178.41 9790.26 9791.83 125
jason81.39 11580.29 12384.70 9886.63 21269.90 9085.95 19486.77 23363.24 27681.07 11189.47 14061.08 17192.15 20478.33 9890.07 10292.05 121
jason: jason.
xiu_mvs_v1_base_debu80.80 12879.72 13284.03 12587.35 19570.19 8585.56 20388.77 19269.06 21181.83 9788.16 17650.91 25592.85 18278.29 9987.56 12789.06 216
xiu_mvs_v1_base80.80 12879.72 13284.03 12587.35 19570.19 8585.56 20388.77 19269.06 21181.83 9788.16 17650.91 25592.85 18278.29 9987.56 12789.06 216
xiu_mvs_v1_base_debi80.80 12879.72 13284.03 12587.35 19570.19 8585.56 20388.77 19269.06 21181.83 9788.16 17650.91 25592.85 18278.29 9987.56 12789.06 216
Effi-MVS+83.62 7783.08 7985.24 8088.38 16667.45 14288.89 10389.15 17875.50 9182.27 9388.28 17269.61 7194.45 11077.81 10287.84 12393.84 51
PS-MVSNAJss82.07 10081.31 10484.34 11086.51 21367.27 14789.27 9091.51 11071.75 15779.37 12490.22 12163.15 13394.27 11477.69 10382.36 19291.49 135
ACMP74.13 681.51 11480.57 11684.36 10889.42 12268.69 12089.97 7691.50 11374.46 11275.04 22190.41 11753.82 22694.54 10677.56 10482.91 18489.86 198
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
BP-MVS77.47 105
HQP-MVS82.61 9482.02 9784.37 10789.33 12666.98 15189.17 9292.19 8276.41 7177.23 16690.23 12060.17 18495.11 8577.47 10585.99 15291.03 148
MVS_Test83.15 8483.06 8083.41 14286.86 20663.21 22386.11 19192.00 9074.31 11482.87 8789.44 14570.03 6593.21 16477.39 10788.50 11993.81 53
3Dnovator+77.84 485.48 5784.47 7188.51 491.08 8773.49 1593.18 993.78 1880.79 1076.66 17893.37 5760.40 18396.75 2277.20 10893.73 6395.29 2
anonymousdsp78.60 17877.15 19182.98 16280.51 31267.08 14987.24 15889.53 16465.66 25175.16 21687.19 20252.52 23292.25 20077.17 10979.34 22589.61 206
VDD-MVS83.01 8982.36 9084.96 8891.02 8966.40 15988.91 10288.11 20577.57 3984.39 6793.29 5952.19 23893.91 13477.05 11088.70 11594.57 21
RRT_test8_iter0578.38 18377.40 18681.34 20386.00 21858.86 27086.55 18091.26 11872.13 15475.91 19587.42 19444.97 30293.73 14577.02 11175.30 27791.45 138
XVG-OURS-SEG-HR80.81 12679.76 13183.96 13085.60 22468.78 11283.54 25190.50 13670.66 17876.71 17791.66 8460.69 17691.26 22976.94 11281.58 19991.83 125
jajsoiax79.29 16277.96 16983.27 14684.68 23966.57 15889.25 9190.16 14869.20 20775.46 20589.49 13945.75 29993.13 17276.84 11380.80 20790.11 182
mvs_tets79.13 16677.77 17783.22 15084.70 23866.37 16089.17 9290.19 14769.38 20175.40 20889.46 14244.17 30793.15 17076.78 11480.70 20990.14 179
DPM-MVS84.93 6884.29 7286.84 5090.20 10473.04 2287.12 16093.04 3869.80 19382.85 8891.22 9873.06 4196.02 4876.72 11594.63 4991.46 137
ET-MVSNet_ETH3D78.63 17776.63 20684.64 9986.73 21169.47 10085.01 21684.61 25769.54 19866.51 30686.59 22150.16 26491.75 21676.26 11684.24 16792.69 98
v2v48280.23 14279.29 14383.05 15883.62 25564.14 20287.04 16289.97 15273.61 12978.18 14787.22 20061.10 17093.82 13776.11 11776.78 25291.18 143
CLD-MVS82.31 9681.65 10284.29 11388.47 16267.73 13885.81 20192.35 7375.78 8578.33 14386.58 22364.01 12194.35 11176.05 11887.48 13090.79 155
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
test_part182.78 9182.08 9584.89 9290.66 9566.97 15390.96 5292.93 5077.19 5180.53 11690.04 12563.44 12595.39 7476.04 11976.90 24792.31 110
EPNet83.72 7582.92 8386.14 6684.22 24569.48 9991.05 5185.27 25081.30 776.83 17391.65 8566.09 10295.56 6176.00 12093.85 6293.38 72
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
XVG-OURS80.41 13879.23 14483.97 12985.64 22369.02 10683.03 25990.39 13871.09 16977.63 15791.49 9254.62 22091.35 22775.71 12183.47 17791.54 132
V4279.38 16178.24 16582.83 16781.10 30665.50 17685.55 20689.82 15671.57 16278.21 14586.12 23460.66 17793.18 16975.64 12275.46 27289.81 201
PS-MVSNAJ81.69 10881.02 11083.70 13489.51 11968.21 13084.28 23790.09 15070.79 17481.26 10985.62 24463.15 13394.29 11275.62 12388.87 11288.59 237
xiu_mvs_v2_base81.69 10881.05 10983.60 13589.15 13768.03 13384.46 23190.02 15170.67 17781.30 10886.53 22663.17 13294.19 12075.60 12488.54 11788.57 238
EIA-MVS83.31 8382.80 8584.82 9489.59 11565.59 17488.21 13292.68 5974.66 10878.96 12886.42 22869.06 7795.26 8075.54 12590.09 10093.62 65
AUN-MVS79.21 16477.60 18384.05 12288.71 15567.61 14085.84 19987.26 22669.08 21077.23 16688.14 18053.20 23193.47 15675.50 12673.45 29691.06 146
OMC-MVS82.69 9281.97 9984.85 9388.75 15367.42 14387.98 13890.87 12974.92 10379.72 12191.65 8562.19 15093.96 12775.26 12786.42 14593.16 83
v114480.03 14679.03 14783.01 16083.78 25364.51 19387.11 16190.57 13571.96 15578.08 15086.20 23361.41 16293.94 13074.93 12877.23 24290.60 163
MVSTER79.01 16977.88 17382.38 18183.07 26864.80 18984.08 24288.95 18869.01 21478.69 13387.17 20354.70 21892.43 19274.69 12980.57 21189.89 197
PVSNet_Blended_VisFu82.62 9381.83 10184.96 8890.80 9469.76 9388.74 11191.70 10569.39 20078.96 12888.46 16765.47 10994.87 9974.42 13088.57 11690.24 176
v879.97 14879.02 14882.80 17084.09 24764.50 19587.96 13990.29 14674.13 12175.24 21586.81 20962.88 13893.89 13674.39 13175.40 27490.00 190
v14419279.47 15678.37 16182.78 17383.35 25963.96 20586.96 16490.36 14269.99 18877.50 15885.67 24260.66 17793.77 14174.27 13276.58 25390.62 161
ACMM73.20 880.78 13179.84 12983.58 13689.31 13168.37 12589.99 7591.60 10770.28 18477.25 16489.66 13353.37 22993.53 15374.24 13382.85 18588.85 229
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
旧先验286.56 17958.10 32087.04 3188.98 27074.07 134
v119279.59 15378.43 15983.07 15783.55 25764.52 19286.93 16690.58 13470.83 17277.78 15485.90 23659.15 18793.94 13073.96 13577.19 24490.76 156
v1079.74 15178.67 15282.97 16384.06 24864.95 18787.88 14490.62 13373.11 13975.11 21886.56 22461.46 16194.05 12673.68 13675.55 26889.90 196
v192192079.22 16378.03 16882.80 17083.30 26163.94 20686.80 17090.33 14369.91 19177.48 15985.53 24558.44 19193.75 14373.60 13776.85 25090.71 159
cl-mvsnet278.07 19277.01 19381.23 20682.37 28761.83 24383.55 25087.98 21068.96 21575.06 22083.87 26861.40 16391.88 21473.53 13876.39 25789.98 193
Effi-MVS+-dtu80.03 14678.57 15584.42 10585.13 23368.74 11588.77 10888.10 20674.99 10174.97 22283.49 27657.27 20293.36 16073.53 13880.88 20591.18 143
mvs-test180.88 12179.40 13985.29 7885.13 23369.75 9489.28 8988.10 20674.99 10176.44 18486.72 21257.27 20294.26 11873.53 13883.18 18191.87 124
cl_fuxian78.75 17477.91 17181.26 20582.89 27561.56 24684.09 24189.13 18069.97 18975.56 20184.29 26466.36 9892.09 20673.47 14175.48 27090.12 181
VDDNet81.52 11280.67 11584.05 12290.44 10064.13 20389.73 8385.91 24571.11 16883.18 8293.48 5450.54 26193.49 15473.40 14288.25 12194.54 22
CANet_DTU80.61 13379.87 12882.83 16785.60 22463.17 22687.36 15488.65 19876.37 7575.88 19788.44 16853.51 22893.07 17573.30 14389.74 10592.25 113
miper_ehance_all_eth78.59 17977.76 17881.08 21182.66 28061.56 24683.65 24689.15 17868.87 21775.55 20283.79 27266.49 9692.03 20773.25 14476.39 25789.64 205
3Dnovator76.31 583.38 8282.31 9186.59 5787.94 17972.94 2790.64 5792.14 8477.21 5075.47 20392.83 7058.56 19094.72 10473.24 14592.71 7192.13 119
v124078.99 17077.78 17682.64 17683.21 26363.54 21486.62 17790.30 14569.74 19777.33 16285.68 24157.04 20593.76 14273.13 14676.92 24690.62 161
miper_enhance_ethall77.87 19976.86 19780.92 21481.65 29461.38 24882.68 26088.98 18565.52 25375.47 20382.30 29065.76 10892.00 20972.95 14776.39 25789.39 210
MG-MVS83.41 8083.45 7583.28 14592.74 6662.28 23788.17 13489.50 16575.22 9781.49 10492.74 7366.75 9395.11 8572.85 14891.58 8192.45 106
EPP-MVSNet83.40 8183.02 8184.57 10090.13 10564.47 19692.32 2690.73 13174.45 11379.35 12591.10 10169.05 7895.12 8472.78 14987.22 13394.13 34
IterMVS-LS80.06 14579.38 14082.11 18485.89 21963.20 22486.79 17189.34 16874.19 11875.45 20686.72 21266.62 9492.39 19472.58 15076.86 24990.75 157
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet80.52 13779.98 12682.12 18384.28 24363.19 22586.41 18288.95 18874.18 11978.69 13387.54 19166.62 9492.43 19272.57 15180.57 21190.74 158
Vis-MVSNetpermissive83.46 7982.80 8585.43 7690.25 10368.74 11590.30 6990.13 14976.33 7780.87 11392.89 6861.00 17294.20 11972.45 15290.97 8893.35 74
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
LFMVS81.82 10581.23 10683.57 13791.89 7963.43 21989.84 7781.85 29677.04 5783.21 8193.10 6252.26 23793.43 15971.98 15389.95 10393.85 49
v14878.72 17577.80 17581.47 19882.73 27861.96 24186.30 18688.08 20873.26 13876.18 19085.47 24762.46 14492.36 19671.92 15473.82 29390.09 184
PVSNet_BlendedMVS80.60 13480.02 12582.36 18288.85 14565.40 17786.16 19092.00 9069.34 20278.11 14886.09 23566.02 10494.27 11471.52 15582.06 19487.39 260
PVSNet_Blended80.98 12080.34 12182.90 16588.85 14565.40 17784.43 23392.00 9067.62 22878.11 14885.05 25766.02 10494.27 11471.52 15589.50 10689.01 221
eth_miper_zixun_eth77.92 19776.69 20481.61 19683.00 27161.98 24083.15 25589.20 17669.52 19974.86 22484.35 26361.76 15492.56 18971.50 15772.89 30190.28 175
UA-Net85.08 6784.96 6685.45 7592.07 7668.07 13289.78 8190.86 13082.48 284.60 6393.20 6069.35 7395.22 8171.39 15890.88 9093.07 85
cl-mvsnet____77.72 20176.76 20180.58 21982.49 28460.48 25883.09 25687.87 21369.22 20574.38 22985.22 25262.10 15191.53 22271.09 15975.41 27389.73 204
cl-mvsnet177.72 20176.76 20180.58 21982.48 28560.48 25883.09 25687.86 21469.22 20574.38 22985.24 25162.10 15191.53 22271.09 15975.40 27489.74 203
test_yl81.17 11780.47 11983.24 14889.13 13863.62 21086.21 18889.95 15372.43 14881.78 10189.61 13557.50 19993.58 14870.75 16186.90 13792.52 101
DCV-MVSNet81.17 11780.47 11983.24 14889.13 13863.62 21086.21 18889.95 15372.43 14881.78 10189.61 13557.50 19993.58 14870.75 16186.90 13792.52 101
VNet82.21 9782.41 8881.62 19490.82 9360.93 25184.47 22989.78 15776.36 7684.07 7291.88 8264.71 11790.26 24870.68 16388.89 11193.66 58
mvs_anonymous79.42 15879.11 14680.34 22484.45 24257.97 28182.59 26187.62 21867.40 23176.17 19288.56 16568.47 8089.59 25970.65 16486.05 15093.47 71
VPA-MVSNet80.60 13480.55 11780.76 21788.07 17560.80 25486.86 16891.58 10875.67 8980.24 11889.45 14463.34 12790.25 24970.51 16579.22 22891.23 142
PAPM_NR83.02 8882.41 8884.82 9492.47 7266.37 16087.93 14291.80 10073.82 12677.32 16390.66 11267.90 8494.90 9670.37 16689.48 10793.19 82
thisisatest053079.40 15977.76 17884.31 11187.69 18965.10 18687.36 15484.26 26470.04 18777.42 16088.26 17449.94 26794.79 10270.20 16784.70 16293.03 87
tttt051779.40 15977.91 17183.90 13288.10 17463.84 20788.37 12684.05 26671.45 16476.78 17589.12 15049.93 26994.89 9770.18 16883.18 18192.96 91
UniMVSNet_NR-MVSNet81.88 10381.54 10382.92 16488.46 16363.46 21787.13 15992.37 7280.19 1478.38 14189.14 14871.66 5393.05 17670.05 16976.46 25592.25 113
DU-MVS81.12 11980.52 11882.90 16587.80 18363.46 21787.02 16391.87 9879.01 2678.38 14189.07 15165.02 11393.05 17670.05 16976.46 25592.20 115
XVG-ACMP-BASELINE76.11 22874.27 23581.62 19483.20 26464.67 19183.60 24989.75 15969.75 19571.85 25287.09 20532.78 34692.11 20569.99 17180.43 21388.09 245
GeoE81.71 10781.01 11183.80 13389.51 11964.45 19788.97 10088.73 19771.27 16678.63 13689.76 13166.32 9993.20 16669.89 17286.02 15193.74 56
FIs82.07 10082.42 8781.04 21288.80 15058.34 27588.26 13193.49 2476.93 5978.47 14091.04 10469.92 6892.34 19769.87 17384.97 15892.44 107
114514_t80.68 13279.51 13684.20 11594.09 3667.27 14789.64 8591.11 12458.75 31774.08 23190.72 11158.10 19295.04 9069.70 17489.42 10890.30 174
Anonymous2023121178.97 17177.69 18182.81 16990.54 9864.29 20090.11 7391.51 11065.01 25976.16 19388.13 18150.56 26093.03 17969.68 17577.56 24091.11 145
Patchmatch-RL test70.24 28067.78 29177.61 26877.43 33359.57 26771.16 33270.33 34462.94 28268.65 28472.77 34250.62 25985.49 30169.58 17666.58 32787.77 252
UniMVSNet (Re)81.60 11181.11 10883.09 15588.38 16664.41 19887.60 14893.02 4178.42 3178.56 13788.16 17669.78 6993.26 16369.58 17676.49 25491.60 130
IterMVS-SCA-FT75.43 23673.87 23980.11 22882.69 27964.85 18881.57 27283.47 27669.16 20870.49 26384.15 26651.95 24488.15 28169.23 17872.14 30687.34 262
v7n78.97 17177.58 18483.14 15383.45 25865.51 17588.32 12791.21 12073.69 12872.41 24686.32 23157.93 19393.81 13869.18 17975.65 26690.11 182
Anonymous2024052980.19 14478.89 15084.10 11890.60 9664.75 19088.95 10190.90 12865.97 24880.59 11591.17 10049.97 26693.73 14569.16 18082.70 18993.81 53
miper_lstm_enhance74.11 24673.11 24677.13 27680.11 31559.62 26572.23 33086.92 23266.76 23570.40 26482.92 28156.93 20682.92 31869.06 18172.63 30288.87 228
testdata79.97 23090.90 9164.21 20184.71 25559.27 31285.40 4492.91 6762.02 15389.08 26868.95 18291.37 8486.63 281
GA-MVS76.87 21675.17 22581.97 18982.75 27762.58 23281.44 27486.35 24072.16 15374.74 22582.89 28246.20 29492.02 20868.85 18381.09 20391.30 141
UGNet80.83 12579.59 13584.54 10188.04 17668.09 13189.42 8788.16 20476.95 5876.22 18889.46 14249.30 27593.94 13068.48 18490.31 9591.60 130
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
FC-MVSNet-test81.52 11282.02 9780.03 22988.42 16555.97 31187.95 14093.42 2977.10 5577.38 16190.98 10969.96 6691.79 21568.46 18584.50 16392.33 108
DP-MVS Recon83.11 8782.09 9486.15 6594.44 1970.92 7188.79 10792.20 8170.53 18079.17 12691.03 10664.12 12096.03 4768.39 18690.14 9991.50 134
UniMVSNet_ETH3D79.10 16778.24 16581.70 19386.85 20760.24 26187.28 15788.79 19174.25 11776.84 17290.53 11549.48 27291.56 22167.98 18782.15 19393.29 76
D2MVS74.82 24073.21 24479.64 23879.81 31962.56 23380.34 28387.35 22464.37 26668.86 28282.66 28646.37 29190.10 25267.91 18881.24 20286.25 284
IS-MVSNet83.15 8482.81 8484.18 11689.94 11063.30 22191.59 3988.46 20279.04 2579.49 12392.16 7665.10 11294.28 11367.71 18991.86 7994.95 5
Fast-Effi-MVS+-dtu78.02 19476.49 20782.62 17783.16 26766.96 15486.94 16587.45 22372.45 14571.49 25684.17 26554.79 21791.58 22067.61 19080.31 21489.30 212
PAPR81.66 11080.89 11383.99 12890.27 10264.00 20486.76 17491.77 10468.84 21877.13 17189.50 13867.63 8694.88 9867.55 19188.52 11893.09 84
cascas76.72 21874.64 22882.99 16185.78 22165.88 16982.33 26489.21 17560.85 29972.74 24181.02 30147.28 28693.75 14367.48 19285.02 15789.34 211
131476.53 21975.30 22480.21 22783.93 25162.32 23684.66 22388.81 19060.23 30370.16 26984.07 26755.30 21290.73 24467.37 19383.21 18087.59 257
无先验87.48 15188.98 18560.00 30594.12 12367.28 19488.97 224
112180.84 12379.77 13084.05 12293.11 5570.78 7484.66 22385.42 24957.37 32681.76 10392.02 7863.41 12694.12 12367.28 19492.93 6787.26 265
thisisatest051577.33 20975.38 22183.18 15185.27 22963.80 20882.11 26683.27 27965.06 25775.91 19583.84 27049.54 27194.27 11467.24 19686.19 14891.48 136
原ACMM184.35 10993.01 5968.79 11192.44 6863.96 27481.09 11091.57 8966.06 10395.45 6867.19 19794.82 4788.81 231
Baseline_NR-MVSNet78.15 19078.33 16377.61 26885.79 22056.21 30986.78 17285.76 24673.60 13077.93 15287.57 18965.02 11388.99 26967.14 19875.33 27687.63 254
TranMVSNet+NR-MVSNet80.84 12380.31 12282.42 18087.85 18162.33 23587.74 14691.33 11680.55 1177.99 15189.86 12865.23 11192.62 18667.05 19975.24 28092.30 111
Fast-Effi-MVS+80.81 12679.92 12783.47 13888.85 14564.51 19385.53 20889.39 16770.79 17478.49 13985.06 25667.54 8793.58 14867.03 20086.58 14292.32 109
VPNet78.69 17678.66 15378.76 25088.31 16855.72 31384.45 23286.63 23576.79 6378.26 14490.55 11459.30 18689.70 25866.63 20177.05 24590.88 153
PM-MVS66.41 30464.14 30673.20 30773.92 34656.45 30378.97 29764.96 35663.88 27564.72 31780.24 30919.84 35783.44 31566.24 20264.52 33379.71 339
test-LLR72.94 26172.43 25074.48 29781.35 30158.04 27978.38 30177.46 32666.66 23769.95 27379.00 31948.06 28179.24 32966.13 20384.83 15986.15 287
test-mter71.41 27070.39 27174.48 29781.35 30158.04 27978.38 30177.46 32660.32 30269.95 27379.00 31936.08 34079.24 32966.13 20384.83 15986.15 287
MVS78.19 18976.99 19581.78 19185.66 22266.99 15084.66 22390.47 13755.08 33672.02 25185.27 25063.83 12394.11 12566.10 20589.80 10484.24 310
NR-MVSNet80.23 14279.38 14082.78 17387.80 18363.34 22086.31 18591.09 12579.01 2672.17 24989.07 15167.20 9192.81 18566.08 20675.65 26692.20 115
CVMVSNet72.99 26072.58 24974.25 30084.28 24350.85 33986.41 18283.45 27744.56 34773.23 23787.54 19149.38 27385.70 29965.90 20778.44 23286.19 286
IterMVS74.29 24372.94 24778.35 25781.53 29763.49 21681.58 27182.49 28968.06 22669.99 27283.69 27451.66 25085.54 30065.85 20871.64 30986.01 291
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OurMVSNet-221017-074.26 24472.42 25179.80 23483.76 25459.59 26685.92 19686.64 23466.39 24266.96 29787.58 18839.46 32891.60 21965.76 20969.27 31888.22 243
tpmrst72.39 26472.13 25373.18 30880.54 31149.91 34279.91 28879.08 32063.11 27871.69 25479.95 31255.32 21182.77 31965.66 21073.89 29186.87 274
MAR-MVS81.84 10480.70 11485.27 7991.32 8571.53 5789.82 7890.92 12769.77 19478.50 13886.21 23262.36 14694.52 10865.36 21192.05 7589.77 202
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
Anonymous20240521178.25 18577.01 19381.99 18891.03 8860.67 25584.77 22183.90 26870.65 17980.00 11991.20 9941.08 32491.43 22565.21 21285.26 15693.85 49
ab-mvs79.51 15478.97 14981.14 20988.46 16360.91 25283.84 24389.24 17470.36 18279.03 12788.87 15663.23 13190.21 25065.12 21382.57 19092.28 112
IB-MVS68.01 1575.85 23173.36 24383.31 14484.76 23766.03 16383.38 25285.06 25270.21 18669.40 27981.05 30045.76 29894.66 10565.10 21475.49 26989.25 213
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
WR-MVS79.49 15579.22 14580.27 22688.79 15158.35 27485.06 21588.61 20078.56 2977.65 15688.34 17063.81 12490.66 24564.98 21577.22 24391.80 128
CostFormer75.24 23973.90 23879.27 24382.65 28158.27 27680.80 27682.73 28861.57 29475.33 21383.13 28055.52 21091.07 23864.98 21578.34 23488.45 240
API-MVS81.99 10281.23 10684.26 11490.94 9070.18 8891.10 5089.32 16971.51 16378.66 13588.28 17265.26 11095.10 8864.74 21791.23 8787.51 258
新几何183.42 14093.13 5370.71 7585.48 24857.43 32581.80 10091.98 7963.28 12892.27 19864.60 21892.99 6687.27 264
pm-mvs177.25 21076.68 20578.93 24884.22 24558.62 27386.41 18288.36 20371.37 16573.31 23588.01 18261.22 16889.15 26764.24 21973.01 30089.03 220
TESTMET0.1,169.89 28469.00 27772.55 30979.27 32856.85 29678.38 30174.71 33857.64 32368.09 28777.19 33237.75 33576.70 34063.92 22084.09 16884.10 313
QAPM80.88 12179.50 13785.03 8588.01 17868.97 10991.59 3992.00 9066.63 24075.15 21792.16 7657.70 19695.45 6863.52 22188.76 11490.66 160
baseline275.70 23273.83 24081.30 20483.26 26261.79 24482.57 26280.65 30566.81 23366.88 29883.42 27757.86 19592.19 20263.47 22279.57 22089.91 195
LCM-MVSNet-Re77.05 21276.94 19677.36 27187.20 20251.60 33480.06 28580.46 30975.20 9867.69 29086.72 21262.48 14388.98 27063.44 22389.25 10991.51 133
gm-plane-assit81.40 29953.83 32462.72 28680.94 30392.39 19463.40 224
baseline176.98 21476.75 20377.66 26688.13 17255.66 31485.12 21481.89 29473.04 14176.79 17488.90 15462.43 14587.78 28663.30 22571.18 31289.55 208
DWT-MVSNet_test73.70 25071.86 25579.21 24582.91 27458.94 26982.34 26382.17 29165.21 25471.05 26078.31 32444.21 30690.17 25163.29 22677.28 24188.53 239
AdaColmapbinary80.58 13679.42 13884.06 12193.09 5668.91 11089.36 8888.97 18769.27 20375.70 20089.69 13257.20 20495.77 5663.06 22788.41 12087.50 259
GBi-Net78.40 18177.40 18681.40 20087.60 19063.01 22788.39 12389.28 17071.63 15975.34 21087.28 19654.80 21491.11 23262.72 22879.57 22090.09 184
test178.40 18177.40 18681.40 20087.60 19063.01 22788.39 12389.28 17071.63 15975.34 21087.28 19654.80 21491.11 23262.72 22879.57 22090.09 184
FMVSNet377.88 19876.85 19880.97 21386.84 20862.36 23486.52 18188.77 19271.13 16775.34 21086.66 21954.07 22491.10 23562.72 22879.57 22089.45 209
CMPMVSbinary51.72 2170.19 28168.16 28376.28 28173.15 35157.55 28979.47 29183.92 26748.02 34656.48 34584.81 25843.13 31186.42 29562.67 23181.81 19884.89 303
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
FMVSNet278.20 18877.21 19081.20 20787.60 19062.89 23187.47 15289.02 18371.63 15975.29 21487.28 19654.80 21491.10 23562.38 23279.38 22489.61 206
testdata291.01 23962.37 233
CP-MVSNet78.22 18678.34 16277.84 26387.83 18254.54 31887.94 14191.17 12277.65 3673.48 23488.49 16662.24 14988.43 27862.19 23474.07 28890.55 165
XXY-MVS75.41 23775.56 21574.96 29383.59 25657.82 28580.59 28183.87 26966.54 24174.93 22388.31 17163.24 13080.09 32862.16 23576.85 25086.97 273
pmmvs674.69 24173.39 24278.61 25281.38 30057.48 29086.64 17687.95 21164.99 26070.18 26786.61 22050.43 26289.52 26062.12 23670.18 31688.83 230
1112_ss77.40 20876.43 20880.32 22589.11 14260.41 26083.65 24687.72 21762.13 29173.05 23986.72 21262.58 14289.97 25362.11 23780.80 20790.59 164
PS-CasMVS78.01 19578.09 16777.77 26587.71 18754.39 32088.02 13791.22 11977.50 4473.26 23688.64 16160.73 17488.41 27961.88 23873.88 29290.53 166
CDS-MVSNet79.07 16877.70 18083.17 15287.60 19068.23 12984.40 23586.20 24167.49 23076.36 18586.54 22561.54 15890.79 24261.86 23987.33 13190.49 167
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
OpenMVScopyleft72.83 1079.77 15078.33 16384.09 11985.17 23069.91 8990.57 5990.97 12666.70 23672.17 24991.91 8054.70 21893.96 12761.81 24090.95 8988.41 242
K. test v371.19 27168.51 27979.21 24583.04 27057.78 28684.35 23676.91 33072.90 14462.99 32782.86 28339.27 32991.09 23761.65 24152.66 34888.75 233
CHOSEN 1792x268877.63 20475.69 21383.44 13989.98 10968.58 12378.70 30087.50 22156.38 33175.80 19986.84 20858.67 18991.40 22661.58 24285.75 15590.34 173
PCF-MVS73.52 780.38 13978.84 15185.01 8687.71 18768.99 10883.65 24691.46 11463.00 28077.77 15590.28 11866.10 10195.09 8961.40 24388.22 12290.94 152
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
HY-MVS69.67 1277.95 19677.15 19180.36 22387.57 19460.21 26283.37 25387.78 21666.11 24475.37 20987.06 20763.27 12990.48 24761.38 24482.43 19190.40 171
HyFIR lowres test77.53 20575.40 22083.94 13189.59 11566.62 15680.36 28288.64 19956.29 33276.45 18185.17 25357.64 19793.28 16261.34 24583.10 18391.91 123
PMMVS69.34 28668.67 27871.35 31675.67 33962.03 23975.17 32073.46 34050.00 34568.68 28379.05 31752.07 24278.13 33461.16 24682.77 18673.90 346
FMVSNet177.44 20676.12 21281.40 20086.81 20963.01 22788.39 12389.28 17070.49 18174.39 22887.28 19649.06 27891.11 23260.91 24778.52 23090.09 184
sss73.60 25173.64 24173.51 30482.80 27655.01 31676.12 31481.69 29762.47 28874.68 22685.85 23957.32 20178.11 33560.86 24880.93 20487.39 260
Test_1112_low_res76.40 22475.44 21879.27 24389.28 13258.09 27781.69 27087.07 22959.53 31072.48 24586.67 21861.30 16589.33 26360.81 24980.15 21690.41 170
BH-untuned79.47 15678.60 15482.05 18689.19 13665.91 16886.07 19288.52 20172.18 15175.42 20787.69 18661.15 16993.54 15260.38 25086.83 13986.70 279
WTY-MVS75.65 23375.68 21475.57 28786.40 21456.82 29777.92 30882.40 29065.10 25676.18 19087.72 18463.13 13680.90 32560.31 25181.96 19589.00 223
pmmvs474.03 24871.91 25480.39 22281.96 29168.32 12681.45 27382.14 29259.32 31169.87 27585.13 25452.40 23588.13 28260.21 25274.74 28484.73 306
PEN-MVS77.73 20077.69 18177.84 26387.07 20553.91 32387.91 14391.18 12177.56 4173.14 23888.82 15761.23 16789.17 26659.95 25372.37 30390.43 169
CR-MVSNet73.37 25371.27 26279.67 23781.32 30365.19 18375.92 31680.30 31159.92 30672.73 24281.19 29852.50 23386.69 29259.84 25477.71 23787.11 271
lessismore_v078.97 24781.01 30757.15 29365.99 35361.16 33282.82 28439.12 33091.34 22859.67 25546.92 35388.43 241
CNLPA78.08 19176.79 20081.97 18990.40 10171.07 6487.59 14984.55 25866.03 24772.38 24789.64 13457.56 19886.04 29759.61 25683.35 17888.79 232
BH-RMVSNet79.61 15278.44 15883.14 15389.38 12565.93 16784.95 21887.15 22873.56 13178.19 14689.79 13056.67 20793.36 16059.53 25786.74 14090.13 180
MS-PatchMatch73.83 24972.67 24877.30 27383.87 25266.02 16481.82 26784.66 25661.37 29768.61 28582.82 28447.29 28588.21 28059.27 25884.32 16677.68 343
test_post178.90 2995.43 36448.81 28085.44 30259.25 259
SCA74.22 24572.33 25279.91 23184.05 24962.17 23879.96 28779.29 31966.30 24372.38 24780.13 31051.95 24488.60 27659.25 25977.67 23988.96 225
SixPastTwentyTwo73.37 25371.26 26379.70 23585.08 23557.89 28385.57 20283.56 27371.03 17065.66 31085.88 23742.10 31992.57 18859.11 26163.34 33588.65 236
MVS_030472.48 26370.89 26677.24 27482.20 28859.68 26484.11 24083.49 27567.10 23266.87 29980.59 30635.00 34387.40 28859.07 26279.58 21984.63 307
WR-MVS_H78.51 18078.49 15678.56 25388.02 17756.38 30688.43 11992.67 6077.14 5373.89 23287.55 19066.25 10089.24 26558.92 26373.55 29590.06 188
PLCcopyleft70.83 1178.05 19376.37 21083.08 15691.88 8067.80 13688.19 13389.46 16664.33 26769.87 27588.38 16953.66 22793.58 14858.86 26482.73 18787.86 250
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
RPSCF73.23 25771.46 25878.54 25482.50 28359.85 26382.18 26582.84 28758.96 31471.15 25989.41 14645.48 30184.77 30758.82 26571.83 30891.02 150
EU-MVSNet68.53 29367.61 29371.31 31778.51 33047.01 34884.47 22984.27 26342.27 34866.44 30784.79 25940.44 32683.76 31258.76 26668.54 32383.17 319
pmmvs-eth3d70.50 27867.83 28978.52 25577.37 33466.18 16281.82 26781.51 29858.90 31563.90 32380.42 30842.69 31486.28 29658.56 26765.30 33183.11 321
TAMVS78.89 17377.51 18583.03 15987.80 18367.79 13784.72 22285.05 25367.63 22776.75 17687.70 18562.25 14890.82 24158.53 26887.13 13490.49 167
ACMH+68.96 1476.01 22974.01 23682.03 18788.60 15865.31 18188.86 10487.55 21970.25 18567.75 28987.47 19341.27 32293.19 16858.37 26975.94 26387.60 255
tpm72.37 26671.71 25774.35 29982.19 28952.00 33179.22 29477.29 32864.56 26372.95 24083.68 27551.35 25183.26 31758.33 27075.80 26487.81 251
BH-w/o78.21 18777.33 18980.84 21588.81 14965.13 18584.87 21987.85 21569.75 19574.52 22784.74 26061.34 16493.11 17358.24 27185.84 15484.27 309
Vis-MVSNet (Re-imp)78.36 18478.45 15778.07 26188.64 15751.78 33386.70 17579.63 31774.14 12075.11 21890.83 11061.29 16689.75 25658.10 27291.60 8092.69 98
MVP-Stereo76.12 22774.46 23381.13 21085.37 22869.79 9284.42 23487.95 21165.03 25867.46 29285.33 24953.28 23091.73 21858.01 27383.27 17981.85 329
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
ambc75.24 29173.16 35050.51 34163.05 35287.47 22264.28 31977.81 32917.80 35889.73 25757.88 27460.64 33985.49 295
TR-MVS77.44 20676.18 21181.20 20788.24 17063.24 22284.61 22786.40 23867.55 22977.81 15386.48 22754.10 22393.15 17057.75 27582.72 18887.20 266
F-COLMAP76.38 22574.33 23482.50 17989.28 13266.95 15588.41 12289.03 18264.05 27166.83 30088.61 16246.78 28992.89 18157.48 27678.55 22987.67 253
EG-PatchMatch MVS74.04 24771.82 25680.71 21884.92 23667.42 14385.86 19888.08 20866.04 24664.22 32083.85 26935.10 34292.56 18957.44 27780.83 20682.16 328
PatchmatchNetpermissive73.12 25871.33 26178.49 25683.18 26560.85 25379.63 28978.57 32164.13 26871.73 25379.81 31551.20 25385.97 29857.40 27876.36 26088.66 235
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DTE-MVSNet76.99 21376.80 19977.54 27086.24 21553.06 33087.52 15090.66 13277.08 5672.50 24488.67 16060.48 18089.52 26057.33 27970.74 31490.05 189
UnsupCasMVSNet_eth67.33 29865.99 30171.37 31473.48 34851.47 33675.16 32185.19 25165.20 25560.78 33380.93 30542.35 31577.20 33957.12 28053.69 34785.44 296
pmmvs571.55 26970.20 27275.61 28677.83 33156.39 30581.74 26980.89 30157.76 32267.46 29284.49 26149.26 27685.32 30357.08 28175.29 27885.11 302
Anonymous2024052168.80 29067.22 29673.55 30374.33 34454.11 32183.18 25485.61 24758.15 31961.68 33080.94 30330.71 35081.27 32457.00 28273.34 29985.28 298
TransMVSNet (Re)75.39 23874.56 23077.86 26285.50 22657.10 29486.78 17286.09 24472.17 15271.53 25587.34 19563.01 13789.31 26456.84 28361.83 33687.17 267
EPMVS69.02 28868.16 28371.59 31279.61 32349.80 34477.40 31066.93 35262.82 28470.01 27079.05 31745.79 29777.86 33756.58 28475.26 27987.13 270
DIV-MVS_2432*160068.81 28967.59 29472.46 31074.29 34545.45 34977.93 30787.00 23063.12 27763.99 32278.99 32142.32 31684.77 30756.55 28564.09 33487.16 269
tpm273.26 25671.46 25878.63 25183.34 26056.71 30080.65 28080.40 31056.63 33073.55 23382.02 29551.80 24891.24 23056.35 28678.42 23387.95 246
LTVRE_ROB69.57 1376.25 22674.54 23181.41 19988.60 15864.38 19979.24 29389.12 18170.76 17669.79 27787.86 18349.09 27793.20 16656.21 28780.16 21586.65 280
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
ACMH67.68 1675.89 23073.93 23781.77 19288.71 15566.61 15788.62 11589.01 18469.81 19266.78 30186.70 21741.95 32191.51 22455.64 28878.14 23587.17 267
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CHOSEN 280x42066.51 30364.71 30471.90 31181.45 29863.52 21557.98 35368.95 35153.57 33862.59 32976.70 33346.22 29375.29 34755.25 28979.68 21876.88 345
EPNet_dtu75.46 23574.86 22677.23 27582.57 28254.60 31786.89 16783.09 28471.64 15866.25 30885.86 23855.99 20988.04 28354.92 29086.55 14389.05 219
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PVSNet64.34 1872.08 26870.87 26775.69 28586.21 21656.44 30474.37 32680.73 30462.06 29270.17 26882.23 29242.86 31383.31 31654.77 29184.45 16587.32 263
ITE_SJBPF78.22 25881.77 29360.57 25683.30 27869.25 20467.54 29187.20 20136.33 33987.28 29054.34 29274.62 28586.80 276
MDTV_nov1_ep13_2view37.79 35775.16 32155.10 33566.53 30349.34 27453.98 29387.94 248
gg-mvs-nofinetune69.95 28367.96 28675.94 28383.07 26854.51 31977.23 31170.29 34563.11 27870.32 26562.33 34843.62 30988.69 27553.88 29487.76 12484.62 308
PatchMatch-RL72.38 26570.90 26576.80 27988.60 15867.38 14579.53 29076.17 33262.75 28569.36 28082.00 29645.51 30084.89 30653.62 29580.58 21078.12 342
Patchmtry70.74 27469.16 27675.49 28980.72 30854.07 32274.94 32580.30 31158.34 31870.01 27081.19 29852.50 23386.54 29353.37 29671.09 31385.87 294
USDC70.33 27968.37 28076.21 28280.60 31056.23 30879.19 29586.49 23660.89 29861.29 33185.47 24731.78 34989.47 26253.37 29676.21 26182.94 325
LF4IMVS64.02 31362.19 31669.50 32370.90 35353.29 32976.13 31377.18 32952.65 34158.59 33880.98 30223.55 35476.52 34153.06 29866.66 32678.68 341
PAPM77.68 20376.40 20981.51 19787.29 20161.85 24283.78 24489.59 16364.74 26171.23 25788.70 15862.59 14193.66 14752.66 29987.03 13689.01 221
CL-MVSNet_2432*160072.37 26671.46 25875.09 29279.49 32553.53 32580.76 27885.01 25469.12 20970.51 26282.05 29457.92 19484.13 31052.27 30066.00 32987.60 255
tpm cat170.57 27668.31 28177.35 27282.41 28657.95 28278.08 30580.22 31352.04 34268.54 28677.66 33052.00 24387.84 28551.77 30172.07 30786.25 284
our_test_369.14 28767.00 29775.57 28779.80 32058.80 27177.96 30677.81 32459.55 30962.90 32878.25 32647.43 28483.97 31151.71 30267.58 32483.93 314
MDTV_nov1_ep1369.97 27383.18 26553.48 32677.10 31280.18 31460.45 30069.33 28180.44 30748.89 27986.90 29151.60 30378.51 231
JIA-IIPM66.32 30562.82 31576.82 27877.09 33561.72 24565.34 34875.38 33358.04 32164.51 31862.32 34942.05 32086.51 29451.45 30469.22 31982.21 327
MSDG73.36 25570.99 26480.49 22184.51 24165.80 17080.71 27986.13 24365.70 25065.46 31183.74 27344.60 30390.91 24051.13 30576.89 24884.74 305
PatchT68.46 29467.85 28870.29 32080.70 30943.93 35272.47 32974.88 33560.15 30470.55 26176.57 33449.94 26781.59 32250.58 30674.83 28385.34 297
GG-mvs-BLEND75.38 29081.59 29655.80 31279.32 29269.63 34767.19 29573.67 34143.24 31088.90 27450.41 30784.50 16381.45 331
KD-MVS_2432*160066.22 30663.89 30773.21 30575.47 34253.42 32770.76 33584.35 26064.10 26966.52 30478.52 32234.55 34484.98 30450.40 30850.33 35181.23 332
miper_refine_blended66.22 30663.89 30773.21 30575.47 34253.42 32770.76 33584.35 26064.10 26966.52 30478.52 32234.55 34484.98 30450.40 30850.33 35181.23 332
AllTest70.96 27368.09 28579.58 23985.15 23163.62 21084.58 22879.83 31562.31 28960.32 33486.73 21032.02 34788.96 27250.28 31071.57 31086.15 287
TestCases79.58 23985.15 23163.62 21079.83 31562.31 28960.32 33486.73 21032.02 34788.96 27250.28 31071.57 31086.15 287
TAPA-MVS73.13 979.15 16577.94 17082.79 17289.59 11562.99 23088.16 13591.51 11065.77 24977.14 17091.09 10260.91 17393.21 16450.26 31287.05 13592.17 117
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
YYNet165.03 30962.91 31371.38 31375.85 33856.60 30269.12 34274.66 33957.28 32754.12 34777.87 32845.85 29674.48 34949.95 31361.52 33883.05 322
MDA-MVSNet_test_wron65.03 30962.92 31271.37 31475.93 33756.73 29869.09 34374.73 33757.28 32754.03 34877.89 32745.88 29574.39 35049.89 31461.55 33782.99 324
tpmvs71.09 27269.29 27576.49 28082.04 29056.04 31078.92 29881.37 30064.05 27167.18 29678.28 32549.74 27089.77 25549.67 31572.37 30383.67 315
ppachtmachnet_test70.04 28267.34 29578.14 25979.80 32061.13 24979.19 29580.59 30659.16 31365.27 31379.29 31646.75 29087.29 28949.33 31666.72 32586.00 293
UnsupCasMVSNet_bld63.70 31461.53 31870.21 32173.69 34751.39 33772.82 32881.89 29455.63 33457.81 34171.80 34438.67 33178.61 33249.26 31752.21 34980.63 335
dp66.80 30065.43 30270.90 31979.74 32248.82 34575.12 32374.77 33659.61 30864.08 32177.23 33142.89 31280.72 32648.86 31866.58 32783.16 320
FMVSNet569.50 28567.96 28674.15 30182.97 27355.35 31580.01 28682.12 29362.56 28763.02 32581.53 29736.92 33781.92 32148.42 31974.06 28985.17 301
thres100view90076.50 22075.55 21679.33 24289.52 11856.99 29585.83 20083.23 28073.94 12376.32 18687.12 20451.89 24691.95 21048.33 32083.75 17289.07 214
tfpn200view976.42 22375.37 22279.55 24189.13 13857.65 28785.17 21183.60 27173.41 13676.45 18186.39 22952.12 23991.95 21048.33 32083.75 17289.07 214
thres40076.50 22075.37 22279.86 23289.13 13857.65 28785.17 21183.60 27173.41 13676.45 18186.39 22952.12 23991.95 21048.33 32083.75 17290.00 190
LCM-MVSNet54.25 32049.68 32667.97 32953.73 36045.28 35066.85 34780.78 30335.96 35439.45 35462.23 3508.70 36678.06 33648.24 32351.20 35080.57 336
RPMNet73.51 25270.49 26882.58 17881.32 30365.19 18375.92 31692.27 7657.60 32472.73 24276.45 33552.30 23695.43 7148.14 32477.71 23787.11 271
thres600view776.50 22075.44 21879.68 23689.40 12357.16 29285.53 20883.23 28073.79 12776.26 18787.09 20551.89 24691.89 21348.05 32583.72 17590.00 190
TDRefinement67.49 29664.34 30576.92 27773.47 34961.07 25084.86 22082.98 28559.77 30758.30 34085.13 25426.06 35287.89 28447.92 32660.59 34081.81 330
thres20075.55 23474.47 23278.82 24987.78 18657.85 28483.07 25883.51 27472.44 14775.84 19884.42 26252.08 24191.75 21647.41 32783.64 17686.86 275
PVSNet_057.27 2061.67 31659.27 31968.85 32679.61 32357.44 29168.01 34473.44 34155.93 33358.54 33970.41 34544.58 30477.55 33847.01 32835.91 35471.55 348
DP-MVS76.78 21774.57 22983.42 14093.29 4969.46 10288.55 11883.70 27063.98 27370.20 26688.89 15554.01 22594.80 10146.66 32981.88 19786.01 291
COLMAP_ROBcopyleft66.92 1773.01 25970.41 27080.81 21687.13 20465.63 17388.30 12884.19 26562.96 28163.80 32487.69 18638.04 33492.56 18946.66 32974.91 28284.24 310
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
MIMVSNet70.69 27569.30 27474.88 29484.52 24056.35 30775.87 31879.42 31864.59 26267.76 28882.41 28841.10 32381.54 32346.64 33181.34 20086.75 278
LS3D76.95 21574.82 22783.37 14390.45 9967.36 14689.15 9686.94 23161.87 29369.52 27890.61 11351.71 24994.53 10746.38 33286.71 14188.21 244
MDA-MVSNet-bldmvs66.68 30163.66 30975.75 28479.28 32760.56 25773.92 32778.35 32264.43 26450.13 35179.87 31444.02 30883.67 31346.10 33356.86 34383.03 323
new-patchmatchnet61.73 31561.73 31761.70 33372.74 35224.50 36569.16 34178.03 32361.40 29556.72 34475.53 33838.42 33276.48 34245.95 33457.67 34284.13 312
TinyColmap67.30 29964.81 30374.76 29681.92 29256.68 30180.29 28481.49 29960.33 30156.27 34683.22 27924.77 35387.66 28745.52 33569.47 31779.95 338
pmmvs357.79 31854.26 32268.37 32864.02 35756.72 29975.12 32365.17 35440.20 35052.93 34969.86 34620.36 35675.48 34645.45 33655.25 34672.90 347
OpenMVS_ROBcopyleft64.09 1970.56 27768.19 28277.65 26780.26 31359.41 26885.01 21682.96 28658.76 31665.43 31282.33 28937.63 33691.23 23145.34 33776.03 26282.32 326
test0.0.03 168.00 29567.69 29268.90 32577.55 33247.43 34675.70 31972.95 34266.66 23766.56 30282.29 29148.06 28175.87 34444.97 33874.51 28683.41 317
testgi66.67 30266.53 30067.08 33075.62 34041.69 35575.93 31576.50 33166.11 24465.20 31686.59 22135.72 34174.71 34843.71 33973.38 29884.84 304
Anonymous2023120668.60 29167.80 29071.02 31880.23 31450.75 34078.30 30480.47 30856.79 32966.11 30982.63 28746.35 29278.95 33143.62 34075.70 26583.36 318
tfpnnormal74.39 24273.16 24578.08 26086.10 21758.05 27884.65 22687.53 22070.32 18371.22 25885.63 24354.97 21389.86 25443.03 34175.02 28186.32 283
MIMVSNet168.58 29266.78 29973.98 30280.07 31651.82 33280.77 27784.37 25964.40 26559.75 33782.16 29336.47 33883.63 31442.73 34270.33 31586.48 282
test20.0367.45 29766.95 29868.94 32475.48 34144.84 35177.50 30977.67 32566.66 23763.01 32683.80 27147.02 28778.40 33342.53 34368.86 32283.58 316
ADS-MVSNet266.20 30863.33 31074.82 29579.92 31758.75 27267.55 34575.19 33453.37 33965.25 31475.86 33642.32 31680.53 32741.57 34468.91 32085.18 299
ADS-MVSNet64.36 31262.88 31468.78 32779.92 31747.17 34767.55 34571.18 34353.37 33965.25 31475.86 33642.32 31673.99 35141.57 34468.91 32085.18 299
Patchmatch-test64.82 31163.24 31169.57 32279.42 32649.82 34363.49 35169.05 35051.98 34359.95 33680.13 31050.91 25570.98 35340.66 34673.57 29487.90 249
MVS-HIRNet59.14 31757.67 32063.57 33281.65 29443.50 35371.73 33165.06 35539.59 35251.43 35057.73 35238.34 33382.58 32039.53 34773.95 29064.62 351
DSMNet-mixed57.77 31956.90 32160.38 33467.70 35535.61 35869.18 34053.97 36032.30 35757.49 34279.88 31340.39 32768.57 35538.78 34872.37 30376.97 344
N_pmnet52.79 32253.26 32351.40 33978.99 3297.68 36869.52 3383.89 36851.63 34457.01 34374.98 33940.83 32565.96 35637.78 34964.67 33280.56 337
test_040272.79 26270.44 26979.84 23388.13 17265.99 16585.93 19584.29 26265.57 25267.40 29485.49 24646.92 28892.61 18735.88 35074.38 28780.94 334
new_pmnet50.91 32350.29 32552.78 33868.58 35434.94 36063.71 35056.63 35939.73 35144.95 35265.47 34721.93 35558.48 35734.98 35156.62 34464.92 350
ANet_high50.57 32446.10 32763.99 33148.67 36339.13 35670.99 33480.85 30261.39 29631.18 35657.70 35317.02 35973.65 35231.22 35215.89 36179.18 340
PMMVS240.82 32738.86 33046.69 34053.84 35916.45 36648.61 35649.92 36137.49 35331.67 35560.97 3518.14 36756.42 35828.42 35330.72 35667.19 349
tmp_tt18.61 33321.40 33610.23 3474.82 36810.11 36734.70 35830.74 3661.48 36423.91 36026.07 36128.42 35113.41 36527.12 35415.35 3627.17 360
test_method31.52 32929.28 33338.23 34227.03 3676.50 36920.94 36162.21 3584.05 36322.35 36152.50 35513.33 36147.58 36127.04 35534.04 35560.62 352
FPMVS53.68 32151.64 32459.81 33565.08 35651.03 33869.48 33969.58 34841.46 34940.67 35372.32 34316.46 36070.00 35424.24 35665.42 33058.40 353
Gipumacopyleft45.18 32541.86 32855.16 33777.03 33651.52 33532.50 35980.52 30732.46 35627.12 35735.02 3589.52 36575.50 34522.31 35760.21 34138.45 356
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
DeepMVS_CXcopyleft27.40 34540.17 36626.90 36324.59 36717.44 36123.95 35948.61 3569.77 36426.48 36318.06 35824.47 35728.83 357
PMVScopyleft37.38 2244.16 32640.28 32955.82 33640.82 36542.54 35465.12 34963.99 35734.43 35524.48 35857.12 3543.92 36876.17 34317.10 35955.52 34548.75 354
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive26.22 2330.37 33125.89 33543.81 34144.55 36435.46 35928.87 36039.07 36418.20 36018.58 36240.18 3572.68 36947.37 36217.07 36023.78 35848.60 355
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN31.77 32830.64 33135.15 34352.87 36127.67 36257.09 35447.86 36224.64 35816.40 36333.05 35911.23 36354.90 35914.46 36118.15 35922.87 358
EMVS30.81 33029.65 33234.27 34450.96 36225.95 36456.58 35546.80 36324.01 35915.53 36430.68 36012.47 36254.43 36012.81 36217.05 36022.43 359
wuyk23d16.82 33415.94 33719.46 34658.74 35831.45 36139.22 3573.74 3696.84 3626.04 3652.70 3651.27 37024.29 36410.54 36314.40 3632.63 361
testmvs6.04 3378.02 3400.10 3490.08 3690.03 37169.74 3370.04 3700.05 3650.31 3661.68 3660.02 3720.04 3660.24 3640.02 3640.25 363
test1236.12 3368.11 3390.14 3480.06 3700.09 37071.05 3330.03 3710.04 3660.25 3671.30 3670.05 3710.03 3670.21 3650.01 3650.29 362
uanet_test0.00 3390.00 3420.00 3500.00 3710.00 3720.00 3620.00 3720.00 3670.00 3680.00 3680.00 3730.00 3680.00 3660.00 3660.00 364
cdsmvs_eth3d_5k19.96 33226.61 3340.00 3500.00 3710.00 3720.00 36289.26 1730.00 3670.00 36888.61 16261.62 1570.00 3680.00 3660.00 3660.00 364
pcd_1.5k_mvsjas5.26 3387.02 3410.00 3500.00 3710.00 3720.00 3620.00 3720.00 3670.00 3680.00 36863.15 1330.00 3680.00 3660.00 3660.00 364
sosnet-low-res0.00 3390.00 3420.00 3500.00 3710.00 3720.00 3620.00 3720.00 3670.00 3680.00 3680.00 3730.00 3680.00 3660.00 3660.00 364
sosnet0.00 3390.00 3420.00 3500.00 3710.00 3720.00 3620.00 3720.00 3670.00 3680.00 3680.00 3730.00 3680.00 3660.00 3660.00 364
uncertanet0.00 3390.00 3420.00 3500.00 3710.00 3720.00 3620.00 3720.00 3670.00 3680.00 3680.00 3730.00 3680.00 3660.00 3660.00 364
Regformer0.00 3390.00 3420.00 3500.00 3710.00 3720.00 3620.00 3720.00 3670.00 3680.00 3680.00 3730.00 3680.00 3660.00 3660.00 364
ab-mvs-re7.23 3359.64 3380.00 3500.00 3710.00 3720.00 3620.00 3720.00 3670.00 36886.72 2120.00 3730.00 3680.00 3660.00 3660.00 364
uanet0.00 3390.00 3420.00 3500.00 3710.00 3720.00 3620.00 3720.00 3670.00 3680.00 3680.00 3730.00 3680.00 3660.00 3660.00 364
test_241102_ONE95.30 270.98 6594.06 1077.17 5293.10 195.39 982.99 197.27 7
save fliter93.80 3972.35 4290.47 6391.17 12274.31 114
test072695.27 571.25 5993.60 494.11 677.33 4692.81 395.79 380.98 7
GSMVS88.96 225
test_part295.06 772.65 3191.80 10
sam_mvs151.32 25288.96 225
sam_mvs50.01 265
MTGPAbinary92.02 87
test_post5.46 36350.36 26384.24 309
patchmatchnet-post74.00 34051.12 25488.60 276
MTMP92.18 3032.83 365
TEST993.26 5172.96 2488.75 10991.89 9668.44 22485.00 5093.10 6274.36 3095.41 72
test_893.13 5372.57 3488.68 11491.84 9968.69 22084.87 5693.10 6274.43 2795.16 83
agg_prior92.85 6171.94 5191.78 10284.41 6594.93 92
test_prior472.60 3389.01 99
test_prior86.33 6092.61 6969.59 9692.97 4795.48 6693.91 45
新几何286.29 187
旧先验191.96 7765.79 17186.37 23993.08 6669.31 7592.74 7088.74 234
原ACMM286.86 168
test22291.50 8368.26 12884.16 23883.20 28254.63 33779.74 12091.63 8758.97 18891.42 8386.77 277
segment_acmp73.08 40
testdata184.14 23975.71 86
test1286.80 5292.63 6870.70 7691.79 10182.71 9171.67 5296.16 4494.50 5293.54 69
plane_prior790.08 10768.51 124
plane_prior689.84 11268.70 11960.42 181
plane_prior491.00 107
plane_prior368.60 12278.44 3078.92 130
plane_prior291.25 4679.12 23
plane_prior189.90 111
plane_prior68.71 11790.38 6777.62 3786.16 149
n20.00 372
nn0.00 372
door-mid69.98 346
test1192.23 79
door69.44 349
HQP5-MVS66.98 151
HQP-NCC89.33 12689.17 9276.41 7177.23 166
ACMP_Plane89.33 12689.17 9276.41 7177.23 166
HQP4-MVS77.24 16595.11 8591.03 148
HQP3-MVS92.19 8285.99 152
HQP2-MVS60.17 184
NP-MVS89.62 11468.32 12690.24 119
ACMMP++_ref81.95 196
ACMMP++81.25 201
Test By Simon64.33 118