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
DVP-MVS++.95.98 196.36 194.82 3497.78 5786.00 5698.29 197.49 590.75 2097.62 598.06 692.59 299.61 395.64 699.02 1298.86 9
SED-MVS95.91 296.28 294.80 3698.77 585.99 5897.13 1297.44 1490.31 2997.71 198.07 492.31 499.58 895.66 499.13 398.84 12
DVP-MVScopyleft95.67 396.02 394.64 4398.78 385.93 6197.09 1496.73 8190.27 3197.04 1098.05 891.47 899.55 1595.62 899.08 798.45 36
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
DPE-MVScopyleft95.57 495.67 495.25 998.36 2787.28 1795.56 7997.51 489.13 6197.14 897.91 1191.64 799.62 194.61 1499.17 298.86 9
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
APDe-MVS95.46 595.64 594.91 2498.26 3086.29 5197.46 497.40 2089.03 6596.20 1698.10 289.39 1699.34 3695.88 399.03 1199.10 3
MSP-MVS95.42 695.56 694.98 2198.49 1886.52 4096.91 2397.47 1091.73 896.10 1796.69 6189.90 1299.30 4294.70 1298.04 7099.13 1
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-MVS95.40 795.37 795.50 798.11 3988.51 795.29 9296.96 5592.09 395.32 2397.08 4289.49 1599.33 3995.10 1198.85 1998.66 18
SMA-MVScopyleft95.20 895.07 1095.59 598.14 3888.48 896.26 4397.28 3185.90 14197.67 398.10 288.41 2099.56 1094.66 1399.19 198.71 16
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
SteuartSystems-ACMMP95.20 895.32 994.85 2996.99 8186.33 4797.33 597.30 2991.38 1195.39 2297.46 1988.98 1999.40 3194.12 1898.89 1898.82 14
Skip Steuart: Steuart Systems R&D Blog.
HPM-MVS++copyleft95.14 1094.91 1295.83 498.25 3189.65 495.92 6296.96 5591.75 794.02 3996.83 5488.12 2499.55 1593.41 2898.94 1698.28 49
SF-MVS94.97 1194.90 1395.20 1097.84 5287.76 1096.65 3197.48 987.76 10195.71 1997.70 1388.28 2299.35 3493.89 2198.78 2598.48 28
SD-MVS94.96 1295.33 893.88 6597.25 7886.69 3296.19 4697.11 4590.42 2896.95 1297.27 2989.53 1496.91 24394.38 1698.85 1998.03 71
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
TSAR-MVS + MP.94.85 1394.94 1194.58 4698.25 3186.33 4796.11 5296.62 9488.14 9296.10 1796.96 4989.09 1898.94 8794.48 1598.68 3998.48 28
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
NCCC94.81 1494.69 1695.17 1297.83 5387.46 1695.66 7496.93 5892.34 293.94 4096.58 6887.74 2799.44 3092.83 3798.40 5798.62 20
ACMMP_NAP94.74 1594.56 1795.28 898.02 4587.70 1295.68 7297.34 2288.28 8595.30 2497.67 1585.90 5299.54 1993.91 2098.95 1598.60 21
xxxxxxxxxxxxxcwj94.65 1694.70 1594.48 5097.85 5085.63 7295.21 9895.47 17689.44 5095.71 1997.70 1388.28 2299.35 3493.89 2198.78 2598.48 28
ETH3D-3000-0.194.61 1794.44 1995.12 1397.70 6087.71 1195.98 5997.44 1486.67 12795.25 2597.31 2787.73 2899.24 4793.11 3598.76 3098.40 39
HFP-MVS94.52 1894.40 2094.86 2798.61 1086.81 2696.94 1897.34 2288.63 7493.65 4797.21 3486.10 4899.49 2692.35 4998.77 2898.30 45
ZNCC-MVS94.47 1994.28 2395.03 1698.52 1686.96 1996.85 2697.32 2788.24 8693.15 5997.04 4586.17 4799.62 192.40 4798.81 2298.52 24
zzz-MVS94.47 1994.30 2295.00 1898.42 2286.95 2095.06 11096.97 5291.07 1393.14 6097.56 1684.30 7099.56 1093.43 2698.75 3198.47 32
XVS94.45 2194.32 2194.85 2998.54 1486.60 3896.93 2097.19 3890.66 2592.85 6697.16 3985.02 6399.49 2691.99 6198.56 5198.47 32
MCST-MVS94.45 2194.20 2995.19 1198.46 2087.50 1595.00 11297.12 4387.13 11492.51 8096.30 7789.24 1799.34 3693.46 2598.62 4898.73 15
region2R94.43 2394.27 2594.92 2298.65 886.67 3496.92 2297.23 3588.60 7693.58 5197.27 2985.22 5999.54 1992.21 5298.74 3398.56 23
ACMMPR94.43 2394.28 2394.91 2498.63 986.69 3296.94 1897.32 2788.63 7493.53 5497.26 3185.04 6299.54 1992.35 4998.78 2598.50 26
MTAPA94.42 2594.22 2695.00 1898.42 2286.95 2094.36 16096.97 5291.07 1393.14 6097.56 1684.30 7099.56 1093.43 2698.75 3198.47 32
testtj94.39 2694.18 3095.00 1898.24 3386.77 3096.16 4797.23 3587.28 11294.85 2897.04 4586.99 4099.52 2391.54 7598.33 6098.71 16
CP-MVS94.34 2794.21 2894.74 4098.39 2586.64 3697.60 397.24 3388.53 7892.73 7397.23 3285.20 6099.32 4092.15 5598.83 2198.25 54
Regformer-294.33 2894.22 2694.68 4195.54 12986.75 3194.57 14096.70 8691.84 694.41 2996.56 7087.19 3799.13 5793.50 2497.65 8398.16 59
#test#94.32 2994.14 3294.86 2798.61 1086.81 2696.43 3497.34 2287.51 10793.65 4797.21 3486.10 4899.49 2691.68 7398.77 2898.30 45
MP-MVScopyleft94.25 3094.07 3594.77 3898.47 1986.31 4996.71 2996.98 5189.04 6391.98 9097.19 3685.43 5799.56 1092.06 6098.79 2398.44 37
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
APD-MVScopyleft94.24 3194.07 3594.75 3998.06 4386.90 2395.88 6396.94 5785.68 14795.05 2797.18 3787.31 3499.07 6191.90 6998.61 4998.28 49
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
SR-MVS94.23 3294.17 3194.43 5398.21 3585.78 6996.40 3796.90 6088.20 8994.33 3197.40 2384.75 6799.03 6793.35 2997.99 7198.48 28
Regformer-194.22 3394.13 3394.51 4995.54 12986.36 4694.57 14096.44 10391.69 994.32 3296.56 7087.05 3999.03 6793.35 2997.65 8398.15 60
GST-MVS94.21 3493.97 3994.90 2698.41 2486.82 2596.54 3397.19 3888.24 8693.26 5596.83 5485.48 5699.59 791.43 7998.40 5798.30 45
MP-MVS-pluss94.21 3494.00 3894.85 2998.17 3686.65 3594.82 12497.17 4186.26 13592.83 6897.87 1285.57 5599.56 1094.37 1798.92 1798.34 42
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DeepPCF-MVS89.96 194.20 3694.77 1492.49 11496.52 9580.00 21794.00 18497.08 4690.05 3595.65 2197.29 2889.66 1398.97 8393.95 1998.71 3498.50 26
DeepC-MVS_fast89.43 294.04 3793.79 4394.80 3697.48 6786.78 2895.65 7696.89 6189.40 5392.81 6996.97 4885.37 5899.24 4790.87 8898.69 3798.38 41
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
HPM-MVScopyleft94.02 3893.88 4094.43 5398.39 2585.78 6997.25 897.07 4786.90 12292.62 7796.80 5884.85 6699.17 5392.43 4598.65 4698.33 43
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
mPP-MVS93.99 3993.78 4494.63 4498.50 1785.90 6696.87 2496.91 5988.70 7291.83 9697.17 3883.96 7799.55 1591.44 7898.64 4798.43 38
test117293.97 4094.07 3593.66 7498.11 3983.45 12096.26 4396.84 6788.33 8294.19 3497.43 2084.24 7299.01 7393.26 3197.98 7298.52 24
PGM-MVS93.96 4193.72 4694.68 4198.43 2186.22 5295.30 8997.78 187.45 11093.26 5597.33 2684.62 6899.51 2490.75 9198.57 5098.32 44
ETH3D cwj APD-0.1693.91 4293.53 5195.06 1596.76 8687.78 994.92 11797.21 3784.33 17793.89 4297.09 4187.20 3699.29 4491.90 6998.44 5598.12 63
Regformer-493.91 4293.81 4294.19 6095.36 13385.47 7594.68 13296.41 10691.60 1093.75 4496.71 5985.95 5199.10 6093.21 3396.65 10098.01 73
PHI-MVS93.89 4493.65 4994.62 4596.84 8486.43 4396.69 3097.49 585.15 16393.56 5396.28 7985.60 5499.31 4192.45 4498.79 2398.12 63
SR-MVS-dyc-post93.82 4593.82 4193.82 6797.92 4784.57 8696.28 4196.76 7787.46 10893.75 4497.43 2084.24 7299.01 7392.73 3897.80 7897.88 81
APD-MVS_3200maxsize93.78 4693.77 4593.80 7197.92 4784.19 10196.30 3996.87 6486.96 11893.92 4197.47 1883.88 7898.96 8692.71 4197.87 7698.26 53
MSLP-MVS++93.72 4794.08 3492.65 10697.31 7283.43 12195.79 6797.33 2590.03 3693.58 5196.96 4984.87 6597.76 17092.19 5498.66 4496.76 125
Regformer-393.68 4893.64 5093.81 7095.36 13384.61 8494.68 13295.83 14991.27 1293.60 5096.71 5985.75 5398.86 9492.87 3696.65 10097.96 75
TSAR-MVS + GP.93.66 4993.41 5394.41 5596.59 9186.78 2894.40 15293.93 24689.77 4494.21 3395.59 10787.35 3398.61 11092.72 4096.15 10997.83 85
ETH3 D test640093.64 5093.22 5694.92 2297.79 5486.84 2495.31 8697.26 3282.67 21493.81 4396.29 7887.29 3599.27 4589.87 9798.67 4198.65 19
test_prior393.60 5193.53 5193.82 6797.29 7484.49 9094.12 17096.88 6287.67 10492.63 7596.39 7586.62 4298.87 9191.50 7698.67 4198.11 65
CANet93.54 5293.20 5894.55 4795.65 12685.73 7194.94 11596.69 8891.89 590.69 11395.88 9681.99 10299.54 1993.14 3497.95 7498.39 40
MVS_111021_HR93.45 5393.31 5493.84 6696.99 8184.84 8093.24 21897.24 3388.76 7191.60 10195.85 9786.07 5098.66 10591.91 6698.16 6598.03 71
train_agg93.44 5493.08 5994.52 4897.53 6386.49 4194.07 17796.78 7481.86 23492.77 7096.20 8387.63 3099.12 5892.14 5698.69 3797.94 76
DROMVSNet93.44 5493.71 4792.63 10795.21 14182.43 15097.27 796.71 8590.57 2792.88 6595.80 9983.16 8298.16 13993.68 2398.14 6697.31 102
DELS-MVS93.43 5693.25 5593.97 6295.42 13285.04 7993.06 22597.13 4290.74 2291.84 9495.09 12086.32 4699.21 5091.22 8098.45 5497.65 90
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
HPM-MVS_fast93.40 5793.22 5693.94 6498.36 2784.83 8197.15 1196.80 7385.77 14492.47 8197.13 4082.38 9199.07 6190.51 9398.40 5797.92 79
DeepC-MVS88.79 393.31 5892.99 6294.26 5896.07 11085.83 6794.89 11996.99 5089.02 6689.56 12397.37 2582.51 9099.38 3292.20 5398.30 6197.57 95
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
agg_prior193.29 5992.97 6394.26 5897.38 6985.92 6393.92 18896.72 8381.96 22892.16 8596.23 8187.85 2598.97 8391.95 6598.55 5397.90 80
canonicalmvs93.27 6092.75 6794.85 2995.70 12587.66 1396.33 3896.41 10690.00 3794.09 3794.60 13982.33 9398.62 10992.40 4792.86 16498.27 51
ACMMPcopyleft93.24 6192.88 6594.30 5798.09 4285.33 7796.86 2597.45 1388.33 8290.15 11997.03 4781.44 10599.51 2490.85 8995.74 11298.04 70
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
CSCG93.23 6293.05 6093.76 7298.04 4484.07 10396.22 4597.37 2184.15 17990.05 12095.66 10487.77 2699.15 5689.91 9698.27 6298.07 67
abl_693.18 6393.05 6093.57 7697.52 6584.27 10095.53 8096.67 9087.85 9893.20 5897.22 3380.35 11299.18 5291.91 6697.21 8997.26 105
alignmvs93.08 6492.50 7294.81 3595.62 12887.61 1495.99 5796.07 12989.77 4494.12 3694.87 12680.56 11198.66 10592.42 4693.10 15998.15 60
EI-MVSNet-Vis-set93.01 6592.92 6493.29 7795.01 14783.51 11994.48 14495.77 15390.87 1692.52 7996.67 6384.50 6999.00 7891.99 6194.44 13797.36 101
UA-Net92.83 6692.54 7193.68 7396.10 10884.71 8395.66 7496.39 10891.92 493.22 5796.49 7283.16 8298.87 9184.47 15995.47 11797.45 100
CDPH-MVS92.83 6692.30 7494.44 5197.79 5486.11 5494.06 17996.66 9180.09 26192.77 7096.63 6586.62 4299.04 6687.40 12598.66 4498.17 58
ETV-MVS92.74 6892.66 6992.97 9195.20 14284.04 10595.07 10796.51 10190.73 2392.96 6491.19 25784.06 7498.34 12891.72 7296.54 10396.54 135
EI-MVSNet-UG-set92.74 6892.62 7093.12 8394.86 15983.20 12694.40 15295.74 15690.71 2492.05 8996.60 6784.00 7698.99 8091.55 7493.63 14597.17 110
DPM-MVS92.58 7091.74 8095.08 1496.19 10389.31 592.66 23596.56 10083.44 19691.68 10095.04 12186.60 4598.99 8085.60 14697.92 7596.93 121
CS-MVS92.55 7192.87 6691.58 15694.21 18680.54 20095.30 8996.68 8988.18 9192.09 8894.57 14284.06 7498.05 15392.56 4398.19 6496.15 143
CS-MVS-test92.55 7192.72 6892.02 13294.87 15781.34 17796.43 3496.57 9889.04 6391.05 11094.41 14583.85 7998.09 14890.83 9097.47 8696.64 130
casdiffmvs92.51 7392.43 7392.74 10194.41 18081.98 16094.54 14296.23 11889.57 4891.96 9196.17 8782.58 8998.01 15790.95 8695.45 11998.23 55
MVS_111021_LR92.47 7492.29 7592.98 9095.99 11484.43 9793.08 22396.09 12788.20 8991.12 10995.72 10381.33 10797.76 17091.74 7197.37 8896.75 126
3Dnovator+87.14 492.42 7591.37 8395.55 695.63 12788.73 697.07 1696.77 7690.84 1784.02 24396.62 6675.95 16299.34 3687.77 12097.68 8198.59 22
baseline92.39 7692.29 7592.69 10594.46 17781.77 16494.14 16996.27 11389.22 5791.88 9296.00 9182.35 9297.99 15991.05 8295.27 12498.30 45
VNet92.24 7791.91 7893.24 7996.59 9183.43 12194.84 12396.44 10389.19 5994.08 3895.90 9577.85 14798.17 13888.90 10793.38 15398.13 62
CPTT-MVS91.99 7891.80 7992.55 11198.24 3381.98 16096.76 2896.49 10281.89 23390.24 11796.44 7478.59 13698.61 11089.68 9897.85 7797.06 114
EIA-MVS91.95 7991.94 7791.98 13695.16 14380.01 21695.36 8396.73 8188.44 7989.34 12792.16 22483.82 8098.45 12189.35 10297.06 9297.48 98
DP-MVS Recon91.95 7991.28 8593.96 6398.33 2985.92 6394.66 13596.66 9182.69 21390.03 12195.82 9882.30 9499.03 6784.57 15896.48 10696.91 122
EPNet91.79 8191.02 9194.10 6190.10 31685.25 7896.03 5692.05 28792.83 187.39 16095.78 10079.39 12799.01 7388.13 11797.48 8598.05 69
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MG-MVS91.77 8291.70 8192.00 13597.08 8080.03 21593.60 20195.18 19687.85 9890.89 11296.47 7382.06 10098.36 12585.07 15097.04 9397.62 91
Vis-MVSNetpermissive91.75 8391.23 8693.29 7795.32 13683.78 11196.14 4995.98 13589.89 3890.45 11596.58 6875.09 17498.31 13284.75 15696.90 9497.78 88
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
3Dnovator86.66 591.73 8490.82 9594.44 5194.59 17186.37 4597.18 1097.02 4989.20 5884.31 23896.66 6473.74 19799.17 5386.74 13597.96 7397.79 87
EPP-MVSNet91.70 8591.56 8292.13 13095.88 11880.50 20297.33 595.25 19286.15 13789.76 12295.60 10683.42 8198.32 13187.37 12793.25 15697.56 96
MVSFormer91.68 8691.30 8492.80 9793.86 20183.88 10895.96 6095.90 14384.66 17391.76 9794.91 12477.92 14497.30 21189.64 9997.11 9097.24 106
Effi-MVS+91.59 8791.11 8893.01 8994.35 18483.39 12394.60 13795.10 20087.10 11590.57 11493.10 19681.43 10698.07 15189.29 10394.48 13597.59 94
IS-MVSNet91.43 8891.09 9092.46 11595.87 12081.38 17696.95 1793.69 25589.72 4689.50 12595.98 9278.57 13797.77 16983.02 17696.50 10598.22 56
PVSNet_Blended_VisFu91.38 8990.91 9392.80 9796.39 9883.17 12794.87 12196.66 9183.29 20089.27 12894.46 14480.29 11499.17 5387.57 12395.37 12096.05 154
diffmvs91.37 9091.23 8691.77 15093.09 22480.27 20592.36 24595.52 17387.03 11791.40 10594.93 12380.08 11697.44 19692.13 5794.56 13397.61 92
MVS_Test91.31 9191.11 8891.93 14094.37 18180.14 20893.46 20695.80 15186.46 13091.35 10693.77 17582.21 9698.09 14887.57 12394.95 12697.55 97
OMC-MVS91.23 9290.62 9793.08 8596.27 10184.07 10393.52 20395.93 13986.95 11989.51 12496.13 8978.50 13898.35 12785.84 14392.90 16396.83 124
PAPM_NR91.22 9390.78 9692.52 11397.60 6281.46 17394.37 15996.24 11786.39 13387.41 15794.80 13182.06 10098.48 11682.80 18295.37 12097.61 92
PS-MVSNAJ91.18 9490.92 9291.96 13895.26 13982.60 14992.09 25595.70 15886.27 13491.84 9492.46 21479.70 12298.99 8089.08 10595.86 11194.29 221
xiu_mvs_v2_base91.13 9590.89 9491.86 14494.97 15082.42 15192.24 24995.64 16586.11 14091.74 9993.14 19479.67 12598.89 9089.06 10695.46 11894.28 222
nrg03091.08 9690.39 9893.17 8293.07 22586.91 2296.41 3696.26 11488.30 8488.37 14094.85 12982.19 9797.64 18191.09 8182.95 27094.96 189
lupinMVS90.92 9790.21 10193.03 8893.86 20183.88 10892.81 23293.86 25079.84 26491.76 9794.29 15077.92 14498.04 15490.48 9497.11 9097.17 110
hse-mvs390.80 9890.15 10492.75 10096.01 11282.66 14695.43 8295.53 17289.80 4093.08 6295.64 10575.77 16399.00 7892.07 5878.05 32696.60 131
jason90.80 9890.10 10592.90 9493.04 22783.53 11893.08 22394.15 24080.22 25891.41 10494.91 12476.87 15097.93 16490.28 9596.90 9497.24 106
jason: jason.
VDD-MVS90.74 10089.92 11293.20 8096.27 10183.02 13295.73 6993.86 25088.42 8192.53 7896.84 5362.09 30598.64 10790.95 8692.62 16797.93 78
PVSNet_Blended90.73 10190.32 10091.98 13696.12 10581.25 17992.55 24096.83 6982.04 22689.10 13092.56 21281.04 10998.85 9786.72 13795.91 11095.84 161
test_yl90.69 10290.02 11092.71 10295.72 12382.41 15394.11 17295.12 19885.63 14891.49 10294.70 13374.75 17898.42 12386.13 14192.53 16897.31 102
DCV-MVSNet90.69 10290.02 11092.71 10295.72 12382.41 15394.11 17295.12 19885.63 14891.49 10294.70 13374.75 17898.42 12386.13 14192.53 16897.31 102
API-MVS90.66 10490.07 10692.45 11696.36 9984.57 8696.06 5595.22 19582.39 21789.13 12994.27 15380.32 11398.46 11880.16 22996.71 9894.33 220
xiu_mvs_v1_base_debu90.64 10590.05 10792.40 11793.97 19884.46 9393.32 20895.46 17785.17 16092.25 8294.03 15670.59 23398.57 11290.97 8394.67 12894.18 223
xiu_mvs_v1_base90.64 10590.05 10792.40 11793.97 19884.46 9393.32 20895.46 17785.17 16092.25 8294.03 15670.59 23398.57 11290.97 8394.67 12894.18 223
xiu_mvs_v1_base_debi90.64 10590.05 10792.40 11793.97 19884.46 9393.32 20895.46 17785.17 16092.25 8294.03 15670.59 23398.57 11290.97 8394.67 12894.18 223
HQP_MVS90.60 10890.19 10291.82 14794.70 16782.73 14295.85 6496.22 11990.81 1886.91 16894.86 12774.23 18598.12 14088.15 11589.99 19194.63 202
FIs90.51 10990.35 9990.99 18293.99 19780.98 18795.73 6997.54 389.15 6086.72 17294.68 13581.83 10497.24 21985.18 14988.31 22294.76 199
112190.42 11089.49 11693.20 8097.27 7684.46 9392.63 23695.51 17471.01 34491.20 10896.21 8282.92 8699.05 6380.56 22298.07 6996.10 150
MAR-MVS90.30 11189.37 12193.07 8796.61 9084.48 9295.68 7295.67 16082.36 21987.85 14892.85 20276.63 15698.80 10180.01 23096.68 9995.91 157
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
FC-MVSNet-test90.27 11290.18 10390.53 19393.71 20779.85 22195.77 6897.59 289.31 5586.27 18194.67 13681.93 10397.01 23784.26 16188.09 22694.71 200
CANet_DTU90.26 11389.41 12092.81 9693.46 21583.01 13393.48 20494.47 22889.43 5287.76 15294.23 15470.54 23799.03 6784.97 15196.39 10796.38 137
OPM-MVS90.12 11489.56 11591.82 14793.14 22283.90 10794.16 16895.74 15688.96 6787.86 14795.43 11072.48 21397.91 16588.10 11890.18 19093.65 256
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
LFMVS90.08 11589.13 12892.95 9296.71 8782.32 15596.08 5389.91 33786.79 12392.15 8796.81 5662.60 30298.34 12887.18 12993.90 14198.19 57
GeoE90.05 11689.43 11991.90 14395.16 14380.37 20495.80 6694.65 22583.90 18487.55 15694.75 13278.18 14297.62 18381.28 20893.63 14597.71 89
PAPR90.02 11789.27 12692.29 12695.78 12180.95 18992.68 23496.22 11981.91 23186.66 17393.75 17782.23 9598.44 12279.40 24094.79 12797.48 98
PVSNet_BlendedMVS89.98 11889.70 11390.82 18696.12 10581.25 17993.92 18896.83 6983.49 19589.10 13092.26 22281.04 10998.85 9786.72 13787.86 23092.35 302
PS-MVSNAJss89.97 11989.62 11491.02 17991.90 25580.85 19295.26 9595.98 13586.26 13586.21 18294.29 15079.70 12297.65 17988.87 10888.10 22494.57 208
XVG-OURS-SEG-HR89.95 12089.45 11791.47 16194.00 19681.21 18291.87 25896.06 13185.78 14388.55 13695.73 10274.67 18197.27 21588.71 11089.64 20095.91 157
UGNet89.95 12088.95 13292.95 9294.51 17483.31 12495.70 7195.23 19389.37 5487.58 15493.94 16464.00 29798.78 10283.92 16596.31 10896.74 127
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
UniMVSNet_NR-MVSNet89.92 12289.29 12491.81 14993.39 21683.72 11294.43 15097.12 4389.80 4086.46 17593.32 18583.16 8297.23 22084.92 15281.02 29994.49 215
AdaColmapbinary89.89 12389.07 12992.37 12197.41 6883.03 13194.42 15195.92 14082.81 21186.34 18094.65 13773.89 19399.02 7180.69 21995.51 11595.05 184
hse-mvs289.88 12489.34 12291.51 15894.83 16181.12 18493.94 18793.91 24989.80 4093.08 6293.60 18075.77 16397.66 17792.07 5877.07 33395.74 166
UniMVSNet (Re)89.80 12589.07 12992.01 13393.60 21184.52 8994.78 12797.47 1089.26 5686.44 17892.32 21982.10 9897.39 20884.81 15580.84 30394.12 227
HQP-MVS89.80 12589.28 12591.34 16594.17 18781.56 16794.39 15496.04 13388.81 6885.43 20693.97 16373.83 19597.96 16187.11 13289.77 19894.50 213
VPA-MVSNet89.62 12788.96 13191.60 15593.86 20182.89 13795.46 8197.33 2587.91 9588.43 13993.31 18674.17 18897.40 20587.32 12882.86 27594.52 211
WTY-MVS89.60 12888.92 13391.67 15395.47 13181.15 18392.38 24494.78 22183.11 20389.06 13294.32 14878.67 13596.61 25681.57 20590.89 18497.24 106
Vis-MVSNet (Re-imp)89.59 12989.44 11890.03 21795.74 12275.85 29495.61 7790.80 32287.66 10687.83 14995.40 11176.79 15296.46 26978.37 24696.73 9797.80 86
VDDNet89.56 13088.49 14392.76 9995.07 14682.09 15796.30 3993.19 26281.05 25391.88 9296.86 5261.16 31598.33 13088.43 11392.49 17097.84 84
114514_t89.51 13188.50 14192.54 11298.11 3981.99 15995.16 10396.36 11070.19 34685.81 18795.25 11476.70 15498.63 10882.07 19396.86 9697.00 118
QAPM89.51 13188.15 15293.59 7594.92 15484.58 8596.82 2796.70 8678.43 28483.41 25996.19 8673.18 20599.30 4277.11 26196.54 10396.89 123
CLD-MVS89.47 13388.90 13491.18 17094.22 18582.07 15892.13 25396.09 12787.90 9685.37 21292.45 21574.38 18397.56 18687.15 13090.43 18693.93 237
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
mvs-test189.45 13489.14 12790.38 20393.33 21777.63 27294.95 11494.36 23187.70 10287.10 16492.81 20673.45 20098.03 15685.57 14793.04 16095.48 172
LPG-MVS_test89.45 13488.90 13491.12 17194.47 17581.49 17195.30 8996.14 12486.73 12585.45 20395.16 11769.89 24398.10 14287.70 12189.23 20793.77 250
CDS-MVSNet89.45 13488.51 14092.29 12693.62 21083.61 11793.01 22694.68 22481.95 22987.82 15093.24 19078.69 13496.99 23880.34 22693.23 15796.28 140
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
Fast-Effi-MVS+89.41 13788.64 13891.71 15294.74 16380.81 19393.54 20295.10 20083.11 20386.82 17190.67 27579.74 12197.75 17380.51 22493.55 14796.57 133
ab-mvs89.41 13788.35 14592.60 10895.15 14582.65 14792.20 25195.60 16783.97 18388.55 13693.70 17974.16 18998.21 13782.46 18789.37 20396.94 120
XVG-OURS89.40 13988.70 13791.52 15794.06 19081.46 17391.27 27196.07 12986.14 13888.89 13495.77 10168.73 26297.26 21787.39 12689.96 19395.83 162
mvs_anonymous89.37 14089.32 12389.51 23993.47 21474.22 30591.65 26694.83 21782.91 20985.45 20393.79 17381.23 10896.36 27586.47 13994.09 13997.94 76
DU-MVS89.34 14188.50 14191.85 14693.04 22783.72 11294.47 14796.59 9689.50 4986.46 17593.29 18877.25 14897.23 22084.92 15281.02 29994.59 206
TAMVS89.21 14288.29 14991.96 13893.71 20782.62 14893.30 21294.19 23882.22 22187.78 15193.94 16478.83 13196.95 24077.70 25492.98 16296.32 138
ACMM84.12 989.14 14388.48 14491.12 17194.65 17081.22 18195.31 8696.12 12685.31 15885.92 18694.34 14670.19 24198.06 15285.65 14588.86 21294.08 231
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
EI-MVSNet89.10 14488.86 13689.80 22891.84 25778.30 25393.70 19895.01 20385.73 14587.15 16195.28 11279.87 11997.21 22283.81 16787.36 23593.88 240
CNLPA89.07 14587.98 15692.34 12296.87 8384.78 8294.08 17693.24 26081.41 24484.46 22895.13 11975.57 17096.62 25377.21 25993.84 14395.61 170
PLCcopyleft84.53 789.06 14688.03 15492.15 12997.27 7682.69 14594.29 16295.44 18279.71 26684.01 24494.18 15576.68 15598.75 10377.28 25893.41 15295.02 185
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
test_djsdf89.03 14788.64 13890.21 20890.74 30279.28 23595.96 6095.90 14384.66 17385.33 21492.94 20074.02 19197.30 21189.64 9988.53 21594.05 233
HY-MVS83.01 1289.03 14787.94 15892.29 12694.86 15982.77 13892.08 25694.49 22781.52 24386.93 16692.79 20878.32 14198.23 13479.93 23190.55 18595.88 159
ACMP84.23 889.01 14988.35 14590.99 18294.73 16481.27 17895.07 10795.89 14586.48 12983.67 25294.30 14969.33 25197.99 15987.10 13488.55 21493.72 254
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
test_part189.00 15087.99 15592.04 13195.94 11783.81 11096.14 4996.05 13286.44 13185.69 19093.73 17871.57 21997.66 17785.80 14480.54 30794.66 201
sss88.93 15188.26 15190.94 18594.05 19180.78 19491.71 26395.38 18681.55 24288.63 13593.91 16875.04 17595.47 31182.47 18691.61 17596.57 133
RRT_MVS88.86 15287.68 16292.39 12092.02 25286.09 5594.38 15894.94 20685.45 15487.14 16393.84 17265.88 28997.11 22888.73 10986.77 24293.98 236
TranMVSNet+NR-MVSNet88.84 15387.95 15791.49 15992.68 23783.01 13394.92 11796.31 11189.88 3985.53 19693.85 17176.63 15696.96 23981.91 19779.87 31794.50 213
CHOSEN 1792x268888.84 15387.69 16192.30 12596.14 10481.42 17590.01 29395.86 14774.52 32087.41 15793.94 16475.46 17198.36 12580.36 22595.53 11497.12 113
MVSTER88.84 15388.29 14990.51 19692.95 23280.44 20393.73 19595.01 20384.66 17387.15 16193.12 19572.79 20997.21 22287.86 11987.36 23593.87 241
OpenMVScopyleft83.78 1188.74 15687.29 17193.08 8592.70 23685.39 7696.57 3296.43 10578.74 28080.85 28896.07 9069.64 24799.01 7378.01 25296.65 10094.83 196
thisisatest053088.67 15787.61 16491.86 14494.87 15780.07 21194.63 13689.90 33884.00 18288.46 13893.78 17466.88 27698.46 11883.30 17292.65 16697.06 114
Effi-MVS+-dtu88.65 15888.35 14589.54 23693.33 21776.39 28994.47 14794.36 23187.70 10285.43 20689.56 29773.45 20097.26 21785.57 14791.28 17794.97 186
tttt051788.61 15987.78 16091.11 17494.96 15177.81 26695.35 8489.69 34185.09 16588.05 14594.59 14066.93 27498.48 11683.27 17392.13 17397.03 116
BH-untuned88.60 16088.13 15390.01 21995.24 14078.50 24893.29 21394.15 24084.75 17184.46 22893.40 18275.76 16597.40 20577.59 25594.52 13494.12 227
NR-MVSNet88.58 16187.47 16791.93 14093.04 22784.16 10294.77 12896.25 11689.05 6280.04 30293.29 18879.02 13097.05 23481.71 20480.05 31494.59 206
1112_ss88.42 16287.33 17091.72 15194.92 15480.98 18792.97 22894.54 22678.16 28983.82 24893.88 16978.78 13397.91 16579.45 23689.41 20296.26 141
WR-MVS88.38 16387.67 16390.52 19593.30 21980.18 20693.26 21595.96 13788.57 7785.47 20292.81 20676.12 15896.91 24381.24 20982.29 27894.47 218
BH-RMVSNet88.37 16487.48 16691.02 17995.28 13779.45 22792.89 23093.07 26485.45 15486.91 16894.84 13070.35 23897.76 17073.97 28794.59 13295.85 160
IterMVS-LS88.36 16587.91 15989.70 23293.80 20478.29 25493.73 19595.08 20285.73 14584.75 22191.90 23879.88 11896.92 24283.83 16682.51 27693.89 238
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
X-MVStestdata88.31 16686.13 20894.85 2998.54 1486.60 3896.93 2097.19 3890.66 2592.85 6623.41 36785.02 6399.49 2691.99 6198.56 5198.47 32
LCM-MVSNet-Re88.30 16788.32 14888.27 26894.71 16672.41 32593.15 21990.98 31687.77 10079.25 31091.96 23678.35 14095.75 30083.04 17595.62 11396.65 129
jajsoiax88.24 16887.50 16590.48 19890.89 29680.14 20895.31 8695.65 16484.97 16784.24 24094.02 15965.31 29197.42 19888.56 11188.52 21693.89 238
VPNet88.20 16987.47 16790.39 20193.56 21279.46 22694.04 18095.54 17188.67 7386.96 16594.58 14169.33 25197.15 22484.05 16480.53 30994.56 209
TAPA-MVS84.62 688.16 17087.01 17891.62 15496.64 8980.65 19694.39 15496.21 12276.38 30086.19 18395.44 10879.75 12098.08 15062.75 34495.29 12296.13 146
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
baseline188.10 17187.28 17290.57 19194.96 15180.07 21194.27 16391.29 30986.74 12487.41 15794.00 16176.77 15396.20 28080.77 21779.31 32295.44 174
Anonymous2024052988.09 17286.59 19392.58 11096.53 9481.92 16295.99 5795.84 14874.11 32389.06 13295.21 11661.44 31098.81 10083.67 17087.47 23297.01 117
HyFIR lowres test88.09 17286.81 18291.93 14096.00 11380.63 19790.01 29395.79 15273.42 32887.68 15392.10 23073.86 19497.96 16180.75 21891.70 17497.19 109
mvs_tets88.06 17487.28 17290.38 20390.94 29279.88 21995.22 9795.66 16285.10 16484.21 24193.94 16463.53 29997.40 20588.50 11288.40 22093.87 241
F-COLMAP87.95 17586.80 18391.40 16396.35 10080.88 19194.73 13095.45 18079.65 26782.04 27694.61 13871.13 22498.50 11576.24 26991.05 18294.80 198
LS3D87.89 17686.32 20392.59 10996.07 11082.92 13695.23 9694.92 21175.66 30782.89 26695.98 9272.48 21399.21 5068.43 31895.23 12595.64 169
anonymousdsp87.84 17787.09 17590.12 21389.13 32680.54 20094.67 13495.55 16982.05 22483.82 24892.12 22771.47 22297.15 22487.15 13087.80 23192.67 291
v2v48287.84 17787.06 17690.17 20990.99 28879.23 23894.00 18495.13 19784.87 16885.53 19692.07 23374.45 18297.45 19484.71 15781.75 28793.85 244
WR-MVS_H87.80 17987.37 16989.10 24793.23 22078.12 25795.61 7797.30 2987.90 9683.72 25092.01 23579.65 12696.01 28876.36 26680.54 30793.16 276
AUN-MVS87.78 18086.54 19591.48 16094.82 16281.05 18593.91 19193.93 24683.00 20686.93 16693.53 18169.50 24997.67 17686.14 14077.12 33295.73 167
PCF-MVS84.11 1087.74 18186.08 21292.70 10494.02 19284.43 9789.27 30395.87 14673.62 32784.43 23094.33 14778.48 13998.86 9470.27 30494.45 13694.81 197
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Anonymous20240521187.68 18286.13 20892.31 12496.66 8880.74 19594.87 12191.49 30480.47 25789.46 12695.44 10854.72 34098.23 13482.19 19189.89 19597.97 74
V4287.68 18286.86 18090.15 21190.58 30780.14 20894.24 16595.28 19183.66 18985.67 19191.33 25274.73 18097.41 20384.43 16081.83 28592.89 286
thres600view787.65 18486.67 18890.59 19096.08 10978.72 24194.88 12091.58 30087.06 11688.08 14392.30 22068.91 25998.10 14270.05 31191.10 17894.96 189
XXY-MVS87.65 18486.85 18190.03 21792.14 24680.60 19993.76 19495.23 19382.94 20884.60 22394.02 15974.27 18495.49 31081.04 21183.68 26394.01 235
Test_1112_low_res87.65 18486.51 19691.08 17594.94 15379.28 23591.77 26094.30 23476.04 30583.51 25792.37 21777.86 14697.73 17478.69 24589.13 20996.22 142
thres100view90087.63 18786.71 18690.38 20396.12 10578.55 24595.03 11191.58 30087.15 11388.06 14492.29 22168.91 25998.10 14270.13 30891.10 17894.48 216
CP-MVSNet87.63 18787.26 17488.74 25793.12 22376.59 28695.29 9296.58 9788.43 8083.49 25892.98 19975.28 17295.83 29678.97 24281.15 29593.79 246
thres40087.62 18986.64 18990.57 19195.99 11478.64 24394.58 13891.98 29186.94 12088.09 14191.77 24069.18 25698.10 14270.13 30891.10 17894.96 189
v114487.61 19086.79 18490.06 21691.01 28779.34 23193.95 18695.42 18583.36 19985.66 19291.31 25574.98 17697.42 19883.37 17182.06 28193.42 265
tfpn200view987.58 19186.64 18990.41 20095.99 11478.64 24394.58 13891.98 29186.94 12088.09 14191.77 24069.18 25698.10 14270.13 30891.10 17894.48 216
BH-w/o87.57 19287.05 17789.12 24694.90 15677.90 26292.41 24293.51 25782.89 21083.70 25191.34 25175.75 16697.07 23275.49 27493.49 14992.39 300
UniMVSNet_ETH3D87.53 19386.37 19991.00 18192.44 24078.96 24094.74 12995.61 16684.07 18185.36 21394.52 14359.78 32497.34 21082.93 17787.88 22996.71 128
ET-MVSNet_ETH3D87.51 19485.91 21992.32 12393.70 20983.93 10692.33 24690.94 31884.16 17872.09 34692.52 21369.90 24295.85 29589.20 10488.36 22197.17 110
131487.51 19486.57 19490.34 20692.42 24179.74 22392.63 23695.35 19078.35 28580.14 29991.62 24774.05 19097.15 22481.05 21093.53 14894.12 227
v887.50 19686.71 18689.89 22291.37 27479.40 22894.50 14395.38 18684.81 17083.60 25591.33 25276.05 15997.42 19882.84 18080.51 31192.84 288
Fast-Effi-MVS+-dtu87.44 19786.72 18589.63 23492.04 25077.68 27194.03 18193.94 24585.81 14282.42 27091.32 25470.33 23997.06 23380.33 22790.23 18994.14 226
MVS87.44 19786.10 21191.44 16292.61 23883.62 11692.63 23695.66 16267.26 35081.47 28092.15 22577.95 14398.22 13679.71 23395.48 11692.47 297
FMVSNet387.40 19986.11 21091.30 16693.79 20683.64 11594.20 16794.81 21983.89 18584.37 23191.87 23968.45 26596.56 26178.23 24985.36 24893.70 255
thisisatest051587.33 20085.99 21491.37 16493.49 21379.55 22490.63 28189.56 34480.17 25987.56 15590.86 26867.07 27398.28 13381.50 20693.02 16196.29 139
PS-CasMVS87.32 20186.88 17988.63 26092.99 23176.33 29195.33 8596.61 9588.22 8883.30 26393.07 19773.03 20795.79 29978.36 24781.00 30193.75 252
GBi-Net87.26 20285.98 21591.08 17594.01 19383.10 12895.14 10494.94 20683.57 19184.37 23191.64 24366.59 28196.34 27678.23 24985.36 24893.79 246
test187.26 20285.98 21591.08 17594.01 19383.10 12895.14 10494.94 20683.57 19184.37 23191.64 24366.59 28196.34 27678.23 24985.36 24893.79 246
v119287.25 20486.33 20290.00 22090.76 30179.04 23993.80 19295.48 17582.57 21585.48 20191.18 25973.38 20497.42 19882.30 18982.06 28193.53 259
v1087.25 20486.38 19889.85 22391.19 28079.50 22594.48 14495.45 18083.79 18783.62 25491.19 25775.13 17397.42 19881.94 19680.60 30592.63 293
DP-MVS87.25 20485.36 23492.90 9497.65 6183.24 12594.81 12592.00 28974.99 31581.92 27895.00 12272.66 21099.05 6366.92 32992.33 17196.40 136
miper_ehance_all_eth87.22 20786.62 19289.02 25092.13 24777.40 27790.91 27794.81 21981.28 24784.32 23690.08 28679.26 12896.62 25383.81 16782.94 27193.04 281
thres20087.21 20886.24 20690.12 21395.36 13378.53 24693.26 21592.10 28586.42 13288.00 14691.11 26369.24 25598.00 15869.58 31291.04 18393.83 245
v14419287.19 20986.35 20189.74 22990.64 30578.24 25593.92 18895.43 18381.93 23085.51 19891.05 26574.21 18797.45 19482.86 17981.56 28993.53 259
FMVSNet287.19 20985.82 22191.30 16694.01 19383.67 11494.79 12694.94 20683.57 19183.88 24692.05 23466.59 28196.51 26477.56 25685.01 25193.73 253
cl_fuxian87.14 21186.50 19789.04 24992.20 24477.26 27891.22 27394.70 22382.01 22784.34 23590.43 27978.81 13296.61 25683.70 16981.09 29693.25 270
Baseline_NR-MVSNet87.07 21286.63 19188.40 26491.44 26877.87 26494.23 16692.57 27584.12 18085.74 18992.08 23177.25 14896.04 28582.29 19079.94 31591.30 319
v14887.04 21386.32 20389.21 24390.94 29277.26 27893.71 19794.43 22984.84 16984.36 23490.80 27176.04 16097.05 23482.12 19279.60 31993.31 267
v192192086.97 21486.06 21389.69 23390.53 31078.11 25893.80 19295.43 18381.90 23285.33 21491.05 26572.66 21097.41 20382.05 19481.80 28693.53 259
miper_enhance_ethall86.90 21586.18 20789.06 24891.66 26577.58 27490.22 28994.82 21879.16 27284.48 22789.10 30079.19 12996.66 25184.06 16382.94 27192.94 284
RRT_test8_iter0586.90 21586.36 20088.52 26293.00 23073.27 31394.32 16195.96 13785.50 15384.26 23992.86 20160.76 31797.70 17588.32 11482.29 27894.60 205
bset_n11_16_dypcd86.83 21785.55 22790.65 18988.22 33781.70 16588.88 31090.42 32585.26 15985.49 20090.69 27467.11 27297.02 23689.51 10184.39 25593.23 272
v7n86.81 21885.76 22589.95 22190.72 30379.25 23795.07 10795.92 14084.45 17682.29 27190.86 26872.60 21297.53 18879.42 23980.52 31093.08 280
PEN-MVS86.80 21986.27 20588.40 26492.32 24375.71 29695.18 10196.38 10987.97 9382.82 26793.15 19373.39 20395.92 29176.15 27079.03 32493.59 257
cl-mvsnet286.78 22085.98 21589.18 24592.34 24277.62 27390.84 27894.13 24281.33 24683.97 24590.15 28473.96 19296.60 25884.19 16282.94 27193.33 266
v124086.78 22085.85 22089.56 23590.45 31177.79 26793.61 20095.37 18881.65 23885.43 20691.15 26171.50 22197.43 19781.47 20782.05 28393.47 263
TR-MVS86.78 22085.76 22589.82 22594.37 18178.41 25092.47 24192.83 26881.11 25286.36 17992.40 21668.73 26297.48 19173.75 29089.85 19793.57 258
PatchMatch-RL86.77 22385.54 22890.47 19995.88 11882.71 14490.54 28292.31 28079.82 26584.32 23691.57 25068.77 26196.39 27273.16 29293.48 15192.32 303
PAPM86.68 22485.39 23290.53 19393.05 22679.33 23489.79 29694.77 22278.82 27781.95 27793.24 19076.81 15197.30 21166.94 32793.16 15894.95 192
pm-mvs186.61 22585.54 22889.82 22591.44 26880.18 20695.28 9494.85 21583.84 18681.66 27992.62 21172.45 21596.48 26679.67 23478.06 32592.82 289
GA-MVS86.61 22585.27 23590.66 18891.33 27778.71 24290.40 28493.81 25385.34 15785.12 21689.57 29661.25 31297.11 22880.99 21489.59 20196.15 143
Anonymous2023121186.59 22785.13 23790.98 18496.52 9581.50 16996.14 4996.16 12373.78 32583.65 25392.15 22563.26 30097.37 20982.82 18181.74 28894.06 232
cl-mvsnet186.53 22885.78 22288.75 25592.02 25276.45 28890.74 27994.30 23481.83 23683.34 26190.82 27075.75 16696.57 25981.73 20381.52 29193.24 271
cl-mvsnet____86.52 22985.78 22288.75 25592.03 25176.46 28790.74 27994.30 23481.83 23683.34 26190.78 27275.74 16896.57 25981.74 20281.54 29093.22 273
eth_miper_zixun_eth86.50 23085.77 22488.68 25891.94 25475.81 29590.47 28394.89 21282.05 22484.05 24290.46 27875.96 16196.77 24782.76 18379.36 32193.46 264
baseline286.50 23085.39 23289.84 22491.12 28476.70 28491.88 25788.58 34682.35 22079.95 30390.95 26773.42 20297.63 18280.27 22889.95 19495.19 181
EPNet_dtu86.49 23285.94 21888.14 27390.24 31472.82 31794.11 17292.20 28386.66 12879.42 30992.36 21873.52 19895.81 29871.26 29893.66 14495.80 164
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
cascas86.43 23384.98 24090.80 18792.10 24980.92 19090.24 28795.91 14273.10 33183.57 25688.39 31165.15 29297.46 19384.90 15491.43 17694.03 234
SCA86.32 23485.18 23689.73 23192.15 24576.60 28591.12 27491.69 29883.53 19485.50 19988.81 30466.79 27796.48 26676.65 26490.35 18896.12 147
LTVRE_ROB82.13 1386.26 23584.90 24390.34 20694.44 17981.50 16992.31 24894.89 21283.03 20579.63 30792.67 20969.69 24697.79 16871.20 29986.26 24391.72 311
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
DTE-MVSNet86.11 23685.48 23087.98 27691.65 26674.92 29994.93 11695.75 15587.36 11182.26 27293.04 19872.85 20895.82 29774.04 28677.46 33093.20 274
XVG-ACMP-BASELINE86.00 23784.84 24589.45 24091.20 27978.00 25991.70 26495.55 16985.05 16682.97 26592.25 22354.49 34197.48 19182.93 17787.45 23492.89 286
MVP-Stereo85.97 23884.86 24489.32 24190.92 29482.19 15692.11 25494.19 23878.76 27978.77 31291.63 24668.38 26696.56 26175.01 28193.95 14089.20 342
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
D2MVS85.90 23985.09 23888.35 26690.79 29977.42 27691.83 25995.70 15880.77 25580.08 30190.02 28766.74 27996.37 27381.88 19887.97 22891.26 320
test-LLR85.87 24085.41 23187.25 29290.95 29071.67 32889.55 29789.88 33983.41 19784.54 22587.95 31867.25 26995.11 31681.82 19993.37 15494.97 186
FMVSNet185.85 24184.11 25491.08 17592.81 23483.10 12895.14 10494.94 20681.64 23982.68 26891.64 24359.01 32896.34 27675.37 27683.78 26093.79 246
PatchmatchNetpermissive85.85 24184.70 24789.29 24291.76 26075.54 29788.49 31591.30 30881.63 24085.05 21788.70 30871.71 21796.24 27974.61 28489.05 21096.08 151
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CostFormer85.77 24384.94 24288.26 26991.16 28372.58 32389.47 30191.04 31576.26 30386.45 17789.97 28970.74 23196.86 24682.35 18887.07 24095.34 179
PMMVS85.71 24484.96 24187.95 27788.90 32977.09 28088.68 31390.06 33372.32 33786.47 17490.76 27372.15 21694.40 32281.78 20193.49 14992.36 301
PVSNet78.82 1885.55 24584.65 24888.23 27194.72 16571.93 32687.12 32892.75 27178.80 27884.95 21990.53 27764.43 29696.71 25074.74 28293.86 14296.06 153
IterMVS-SCA-FT85.45 24684.53 25188.18 27291.71 26276.87 28390.19 29092.65 27485.40 15681.44 28190.54 27666.79 27795.00 31981.04 21181.05 29792.66 292
pmmvs485.43 24783.86 25890.16 21090.02 31982.97 13590.27 28592.67 27375.93 30680.73 28991.74 24271.05 22595.73 30178.85 24383.46 26791.78 310
ACMH80.38 1785.36 24883.68 26090.39 20194.45 17880.63 19794.73 13094.85 21582.09 22377.24 32092.65 21060.01 32297.58 18472.25 29684.87 25292.96 283
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
OurMVSNet-221017-085.35 24984.64 24987.49 28690.77 30072.59 32294.01 18394.40 23084.72 17279.62 30893.17 19261.91 30796.72 24881.99 19581.16 29393.16 276
CR-MVSNet85.35 24983.76 25990.12 21390.58 30779.34 23185.24 33891.96 29378.27 28685.55 19487.87 32171.03 22695.61 30273.96 28889.36 20495.40 176
tpmrst85.35 24984.99 23986.43 30690.88 29767.88 34988.71 31291.43 30680.13 26086.08 18588.80 30673.05 20696.02 28782.48 18583.40 26995.40 176
miper_lstm_enhance85.27 25284.59 25087.31 28991.28 27874.63 30087.69 32494.09 24481.20 25181.36 28389.85 29274.97 17794.30 32581.03 21379.84 31893.01 282
IB-MVS80.51 1585.24 25383.26 26591.19 16992.13 24779.86 22091.75 26191.29 30983.28 20180.66 29188.49 31061.28 31198.46 11880.99 21479.46 32095.25 180
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
CHOSEN 280x42085.15 25483.99 25688.65 25992.47 23978.40 25179.68 35592.76 27074.90 31781.41 28289.59 29569.85 24595.51 30779.92 23295.29 12292.03 307
RPSCF85.07 25584.27 25287.48 28792.91 23370.62 33891.69 26592.46 27676.20 30482.67 26995.22 11563.94 29897.29 21477.51 25785.80 24694.53 210
MS-PatchMatch85.05 25684.16 25387.73 28091.42 27278.51 24791.25 27293.53 25677.50 29180.15 29891.58 24861.99 30695.51 30775.69 27394.35 13889.16 343
ACMH+81.04 1485.05 25683.46 26489.82 22594.66 16979.37 22994.44 14994.12 24382.19 22278.04 31592.82 20558.23 33097.54 18773.77 28982.90 27492.54 294
DWT-MVSNet_test84.95 25883.68 26088.77 25391.43 27173.75 30991.74 26290.98 31680.66 25683.84 24787.36 32662.44 30397.11 22878.84 24485.81 24595.46 173
IterMVS84.88 25983.98 25787.60 28291.44 26876.03 29390.18 29192.41 27783.24 20281.06 28790.42 28066.60 28094.28 32679.46 23580.98 30292.48 296
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MSDG84.86 26083.09 26790.14 21293.80 20480.05 21389.18 30693.09 26378.89 27578.19 31391.91 23765.86 29097.27 21568.47 31788.45 21893.11 278
tpm84.73 26184.02 25586.87 30390.33 31268.90 34589.06 30789.94 33680.85 25485.75 18889.86 29168.54 26495.97 28977.76 25384.05 25995.75 165
tfpnnormal84.72 26283.23 26689.20 24492.79 23580.05 21394.48 14495.81 15082.38 21881.08 28691.21 25669.01 25896.95 24061.69 34680.59 30690.58 333
CVMVSNet84.69 26384.79 24684.37 32491.84 25764.92 35793.70 19891.47 30566.19 35286.16 18495.28 11267.18 27193.33 33780.89 21690.42 18794.88 194
test-mter84.54 26483.64 26287.25 29290.95 29071.67 32889.55 29789.88 33979.17 27184.54 22587.95 31855.56 33695.11 31681.82 19993.37 15494.97 186
TransMVSNet (Re)84.43 26583.06 26888.54 26191.72 26178.44 24995.18 10192.82 26982.73 21279.67 30692.12 22773.49 19995.96 29071.10 30368.73 35091.21 322
pmmvs584.21 26682.84 27288.34 26788.95 32876.94 28292.41 24291.91 29575.63 30880.28 29691.18 25964.59 29595.57 30377.09 26283.47 26692.53 295
tpm284.08 26782.94 26987.48 28791.39 27371.27 33089.23 30590.37 32771.95 33984.64 22289.33 29867.30 26896.55 26375.17 27887.09 23994.63 202
COLMAP_ROBcopyleft80.39 1683.96 26882.04 27589.74 22995.28 13779.75 22294.25 16492.28 28175.17 31378.02 31693.77 17558.60 32997.84 16765.06 33785.92 24491.63 313
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
RPMNet83.95 26981.53 27991.21 16890.58 30779.34 23185.24 33896.76 7771.44 34185.55 19482.97 34770.87 22998.91 8961.01 34889.36 20495.40 176
SixPastTwentyTwo83.91 27082.90 27086.92 30090.99 28870.67 33793.48 20491.99 29085.54 15177.62 31992.11 22960.59 31896.87 24576.05 27177.75 32793.20 274
EPMVS83.90 27182.70 27387.51 28490.23 31572.67 31988.62 31481.96 36181.37 24585.01 21888.34 31266.31 28494.45 32175.30 27787.12 23895.43 175
TESTMET0.1,183.74 27282.85 27186.42 30789.96 32071.21 33289.55 29787.88 34877.41 29283.37 26087.31 32756.71 33393.65 33480.62 22192.85 16594.40 219
MVS_030483.46 27381.92 27688.10 27490.63 30677.49 27593.26 21593.75 25480.04 26280.44 29587.24 32947.94 35595.55 30475.79 27288.16 22391.26 320
pmmvs683.42 27481.60 27888.87 25288.01 34077.87 26494.96 11394.24 23774.67 31978.80 31191.09 26460.17 32196.49 26577.06 26375.40 33692.23 305
AllTest83.42 27481.39 28089.52 23795.01 14777.79 26793.12 22090.89 32077.41 29276.12 32893.34 18354.08 34397.51 18968.31 31984.27 25793.26 268
tpmvs83.35 27682.07 27487.20 29691.07 28671.00 33588.31 31891.70 29778.91 27480.49 29487.18 33069.30 25497.08 23168.12 32283.56 26593.51 262
USDC82.76 27781.26 28287.26 29191.17 28174.55 30189.27 30393.39 25978.26 28775.30 33392.08 23154.43 34296.63 25271.64 29785.79 24790.61 330
Patchmtry82.71 27880.93 28488.06 27590.05 31876.37 29084.74 34291.96 29372.28 33881.32 28487.87 32171.03 22695.50 30968.97 31480.15 31392.32 303
PatchT82.68 27981.27 28186.89 30290.09 31770.94 33684.06 34490.15 33074.91 31685.63 19383.57 34469.37 25094.87 32065.19 33488.50 21794.84 195
MIMVSNet82.59 28080.53 28588.76 25491.51 26778.32 25286.57 33190.13 33179.32 26880.70 29088.69 30952.98 34793.07 34166.03 33288.86 21294.90 193
test0.0.03 182.41 28181.69 27784.59 32288.23 33672.89 31690.24 28787.83 34983.41 19779.86 30489.78 29367.25 26988.99 35665.18 33583.42 26891.90 309
EG-PatchMatch MVS82.37 28280.34 28888.46 26390.27 31379.35 23092.80 23394.33 23377.14 29673.26 34390.18 28347.47 35796.72 24870.25 30587.32 23789.30 340
tpm cat181.96 28380.27 28987.01 29891.09 28571.02 33487.38 32791.53 30366.25 35180.17 29786.35 33468.22 26796.15 28369.16 31382.29 27893.86 243
our_test_381.93 28480.46 28786.33 30888.46 33373.48 31188.46 31691.11 31176.46 29876.69 32488.25 31466.89 27594.36 32368.75 31579.08 32391.14 324
ppachtmachnet_test81.84 28580.07 29387.15 29788.46 33374.43 30489.04 30892.16 28475.33 31177.75 31788.99 30166.20 28595.37 31265.12 33677.60 32891.65 312
gg-mvs-nofinetune81.77 28679.37 29988.99 25190.85 29877.73 27086.29 33279.63 36574.88 31883.19 26469.05 35860.34 31996.11 28475.46 27594.64 13193.11 278
CL-MVSNet_2432*160081.74 28780.53 28585.36 31685.96 34872.45 32490.25 28693.07 26481.24 24979.85 30587.29 32870.93 22892.52 34466.95 32669.23 34691.11 326
Patchmatch-RL test81.67 28879.96 29486.81 30485.42 35271.23 33182.17 35187.50 35278.47 28377.19 32182.50 34870.81 23093.48 33582.66 18472.89 34095.71 168
ADS-MVSNet281.66 28979.71 29787.50 28591.35 27574.19 30683.33 34788.48 34772.90 33382.24 27385.77 33864.98 29393.20 33964.57 33883.74 26195.12 182
K. test v381.59 29080.15 29285.91 31389.89 32269.42 34492.57 23987.71 35085.56 15073.44 34289.71 29455.58 33595.52 30677.17 26069.76 34492.78 290
ADS-MVSNet81.56 29179.78 29586.90 30191.35 27571.82 32783.33 34789.16 34572.90 33382.24 27385.77 33864.98 29393.76 33264.57 33883.74 26195.12 182
FMVSNet581.52 29279.60 29887.27 29091.17 28177.95 26091.49 26892.26 28276.87 29776.16 32787.91 32051.67 34892.34 34567.74 32381.16 29391.52 314
dp81.47 29380.23 29085.17 31989.92 32165.49 35586.74 32990.10 33276.30 30281.10 28587.12 33162.81 30195.92 29168.13 32179.88 31694.09 230
Patchmatch-test81.37 29479.30 30087.58 28390.92 29474.16 30780.99 35387.68 35170.52 34576.63 32588.81 30471.21 22392.76 34360.01 35286.93 24195.83 162
EU-MVSNet81.32 29580.95 28382.42 33388.50 33263.67 35893.32 20891.33 30764.02 35480.57 29392.83 20461.21 31492.27 34676.34 26780.38 31291.32 318
test_040281.30 29679.17 30487.67 28193.19 22178.17 25692.98 22791.71 29675.25 31276.02 33090.31 28159.23 32696.37 27350.22 35983.63 26488.47 349
JIA-IIPM81.04 29778.98 30787.25 29288.64 33073.48 31181.75 35289.61 34373.19 33082.05 27573.71 35566.07 28895.87 29471.18 30184.60 25492.41 299
Anonymous2023120681.03 29879.77 29684.82 32187.85 34270.26 34091.42 26992.08 28673.67 32677.75 31789.25 29962.43 30493.08 34061.50 34782.00 28491.12 325
pmmvs-eth3d80.97 29978.72 30887.74 27984.99 35479.97 21890.11 29291.65 29975.36 31073.51 34186.03 33559.45 32593.96 33175.17 27872.21 34189.29 341
testgi80.94 30080.20 29183.18 32987.96 34166.29 35291.28 27090.70 32483.70 18878.12 31492.84 20351.37 34990.82 35363.34 34182.46 27792.43 298
CMPMVSbinary59.16 2180.52 30179.20 30384.48 32383.98 35567.63 35189.95 29593.84 25264.79 35366.81 35491.14 26257.93 33195.17 31476.25 26888.10 22490.65 329
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
Anonymous2024052180.44 30279.21 30284.11 32785.75 35067.89 34892.86 23193.23 26175.61 30975.59 33287.47 32550.03 35094.33 32471.14 30281.21 29290.12 335
LF4IMVS80.37 30379.07 30684.27 32686.64 34469.87 34389.39 30291.05 31476.38 30074.97 33590.00 28847.85 35694.25 32774.55 28580.82 30488.69 347
DIV-MVS_2432*160080.20 30479.24 30183.07 33085.64 35165.29 35691.01 27693.93 24678.71 28176.32 32686.40 33359.20 32792.93 34272.59 29469.35 34591.00 328
UnsupCasMVSNet_eth80.07 30578.27 30985.46 31585.24 35372.63 32188.45 31794.87 21482.99 20771.64 34988.07 31756.34 33491.75 35073.48 29163.36 35592.01 308
test20.0379.95 30679.08 30582.55 33285.79 34967.74 35091.09 27591.08 31281.23 25074.48 33889.96 29061.63 30890.15 35460.08 35076.38 33489.76 336
TDRefinement79.81 30777.34 31187.22 29579.24 36275.48 29893.12 22092.03 28876.45 29975.01 33491.58 24849.19 35396.44 27070.22 30769.18 34789.75 337
TinyColmap79.76 30877.69 31085.97 31091.71 26273.12 31489.55 29790.36 32875.03 31472.03 34790.19 28246.22 35896.19 28263.11 34281.03 29888.59 348
OpenMVS_ROBcopyleft74.94 1979.51 30977.03 31586.93 29987.00 34376.23 29292.33 24690.74 32368.93 34874.52 33788.23 31549.58 35296.62 25357.64 35484.29 25687.94 351
MIMVSNet179.38 31077.28 31285.69 31486.35 34573.67 31091.61 26792.75 27178.11 29072.64 34588.12 31648.16 35491.97 34960.32 34977.49 32991.43 317
YYNet179.22 31177.20 31385.28 31888.20 33972.66 32085.87 33490.05 33574.33 32262.70 35687.61 32366.09 28792.03 34766.94 32772.97 33991.15 323
MDA-MVSNet_test_wron79.21 31277.19 31485.29 31788.22 33772.77 31885.87 33490.06 33374.34 32162.62 35787.56 32466.14 28691.99 34866.90 33073.01 33891.10 327
MDA-MVSNet-bldmvs78.85 31376.31 31686.46 30589.76 32373.88 30888.79 31190.42 32579.16 27259.18 35888.33 31360.20 32094.04 32862.00 34568.96 34891.48 316
KD-MVS_2432*160078.50 31476.02 31985.93 31186.22 34674.47 30284.80 34092.33 27879.29 26976.98 32285.92 33653.81 34593.97 32967.39 32457.42 35889.36 338
miper_refine_blended78.50 31476.02 31985.93 31186.22 34674.47 30284.80 34092.33 27879.29 26976.98 32285.92 33653.81 34593.97 32967.39 32457.42 35889.36 338
PM-MVS78.11 31676.12 31884.09 32883.54 35770.08 34188.97 30985.27 35679.93 26374.73 33686.43 33234.70 36293.48 33579.43 23872.06 34288.72 346
PVSNet_073.20 2077.22 31774.83 32284.37 32490.70 30471.10 33383.09 34989.67 34272.81 33573.93 34083.13 34660.79 31693.70 33368.54 31650.84 36188.30 350
DSMNet-mixed76.94 31876.29 31778.89 33683.10 35856.11 36587.78 32279.77 36460.65 35675.64 33188.71 30761.56 30988.34 35760.07 35189.29 20692.21 306
new-patchmatchnet76.41 31975.17 32180.13 33582.65 36059.61 36087.66 32591.08 31278.23 28869.85 35083.22 34554.76 33991.63 35264.14 34064.89 35389.16 343
UnsupCasMVSNet_bld76.23 32073.27 32385.09 32083.79 35672.92 31585.65 33793.47 25871.52 34068.84 35279.08 35249.77 35193.21 33866.81 33160.52 35789.13 345
MVS-HIRNet73.70 32172.20 32478.18 33891.81 25956.42 36482.94 35082.58 35955.24 35868.88 35166.48 35955.32 33895.13 31558.12 35388.42 21983.01 354
new_pmnet72.15 32270.13 32578.20 33782.95 35965.68 35383.91 34582.40 36062.94 35564.47 35579.82 35142.85 36086.26 35957.41 35574.44 33782.65 356
pmmvs371.81 32368.71 32681.11 33475.86 36370.42 33986.74 32983.66 35858.95 35768.64 35380.89 35036.93 36189.52 35563.10 34363.59 35483.39 353
N_pmnet68.89 32468.44 32770.23 34289.07 32728.79 37488.06 31919.50 37569.47 34771.86 34884.93 34061.24 31391.75 35054.70 35677.15 33190.15 334
LCM-MVSNet66.00 32562.16 32977.51 33964.51 36958.29 36183.87 34690.90 31948.17 36154.69 35973.31 35616.83 37286.75 35865.47 33361.67 35687.48 352
FPMVS64.63 32662.55 32870.88 34170.80 36556.71 36284.42 34384.42 35751.78 36049.57 36081.61 34923.49 36681.48 36240.61 36376.25 33574.46 359
PMMVS259.60 32756.40 33069.21 34368.83 36646.58 36973.02 36077.48 36855.07 35949.21 36172.95 35717.43 37180.04 36349.32 36044.33 36380.99 358
ANet_high58.88 32854.22 33272.86 34056.50 37256.67 36380.75 35486.00 35373.09 33237.39 36564.63 36122.17 36779.49 36443.51 36123.96 36682.43 357
Gipumacopyleft57.99 32954.91 33167.24 34488.51 33165.59 35452.21 36390.33 32943.58 36342.84 36451.18 36420.29 36985.07 36034.77 36470.45 34351.05 363
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft47.18 2252.22 33048.46 33463.48 34545.72 37446.20 37073.41 35978.31 36641.03 36430.06 36765.68 3606.05 37383.43 36130.04 36565.86 35160.80 360
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test_method50.52 33148.47 33356.66 34752.26 37318.98 37641.51 36581.40 36210.10 36844.59 36375.01 35428.51 36468.16 36553.54 35749.31 36282.83 355
MVEpermissive39.65 2343.39 33238.59 33857.77 34656.52 37148.77 36855.38 36258.64 37229.33 36728.96 36852.65 3634.68 37464.62 36828.11 36633.07 36459.93 361
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN43.23 33342.29 33546.03 34965.58 36837.41 37173.51 35864.62 36933.99 36528.47 36947.87 36519.90 37067.91 36622.23 36724.45 36532.77 364
EMVS42.07 33441.12 33644.92 35063.45 37035.56 37373.65 35763.48 37033.05 36626.88 37045.45 36621.27 36867.14 36719.80 36823.02 36732.06 365
tmp_tt35.64 33539.24 33724.84 35114.87 37523.90 37562.71 36151.51 3746.58 37036.66 36662.08 36244.37 35930.34 37152.40 35822.00 36820.27 366
cdsmvs_eth3d_5k22.14 33629.52 3390.00 3550.00 3780.00 3790.00 36695.76 1540.00 3730.00 37494.29 15075.66 1690.00 3740.00 3720.00 3720.00 370
wuyk23d21.27 33720.48 34023.63 35268.59 36736.41 37249.57 3646.85 3769.37 3697.89 3714.46 3724.03 37531.37 37017.47 36916.07 3693.12 367
testmvs8.92 33811.52 3411.12 3541.06 3760.46 37886.02 3330.65 3770.62 3712.74 3729.52 3700.31 3770.45 3732.38 3700.39 3702.46 369
test1238.76 33911.22 3421.39 3530.85 3770.97 37785.76 3360.35 3780.54 3722.45 3738.14 3710.60 3760.48 3722.16 3710.17 3712.71 368
ab-mvs-re7.82 34010.43 3430.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 37493.88 1690.00 3780.00 3740.00 3720.00 3720.00 370
pcd_1.5k_mvsjas6.64 3418.86 3440.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 37379.70 1220.00 3740.00 3720.00 3720.00 370
uanet_test0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
sosnet-low-res0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
sosnet0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
uncertanet0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
Regformer0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
uanet0.00 3420.00 3450.00 3550.00 3780.00 3790.00 3660.00 3790.00 3730.00 3740.00 3730.00 3780.00 3740.00 3720.00 3720.00 370
FOURS198.86 185.54 7498.29 197.49 589.79 4396.29 15
MSC_two_6792asdad96.52 197.78 5790.86 196.85 6599.61 396.03 199.06 999.07 4
PC_three_145282.47 21697.09 997.07 4492.72 198.04 15492.70 4299.02 1298.86 9
No_MVS96.52 197.78 5790.86 196.85 6599.61 396.03 199.06 999.07 4
test_one_060198.58 1285.83 6797.44 1491.05 1596.78 1398.06 691.45 11
eth-test20.00 378
eth-test0.00 378
ZD-MVS98.15 3786.62 3797.07 4783.63 19094.19 3496.91 5187.57 3299.26 4691.99 6198.44 55
RE-MVS-def93.68 4897.92 4784.57 8696.28 4196.76 7787.46 10893.75 4497.43 2082.94 8592.73 3897.80 7897.88 81
IU-MVS98.77 586.00 5696.84 6781.26 24897.26 795.50 1099.13 399.03 6
OPU-MVS96.21 398.00 4690.85 397.13 1297.08 4292.59 298.94 8792.25 5198.99 1498.84 12
test_241102_TWO97.44 1490.31 2997.62 598.07 491.46 1099.58 895.66 499.12 698.98 8
test_241102_ONE98.77 585.99 5897.44 1490.26 3397.71 197.96 1092.31 499.38 32
9.1494.47 1897.79 5496.08 5397.44 1486.13 13995.10 2697.40 2388.34 2199.22 4993.25 3298.70 36
save fliter97.85 5085.63 7295.21 9896.82 7189.44 50
test_0728_THIRD90.75 2097.04 1098.05 892.09 699.55 1595.64 699.13 399.13 1
test_0728_SECOND95.01 1798.79 286.43 4397.09 1497.49 599.61 395.62 899.08 798.99 7
test072698.78 385.93 6197.19 997.47 1090.27 3197.64 498.13 191.47 8
GSMVS96.12 147
test_part298.55 1387.22 1896.40 14
sam_mvs171.70 21896.12 147
sam_mvs70.60 232
ambc83.06 33179.99 36163.51 35977.47 35692.86 26774.34 33984.45 34128.74 36395.06 31873.06 29368.89 34990.61 330
MTGPAbinary96.97 52
test_post188.00 3209.81 36969.31 25395.53 30576.65 264
test_post10.29 36870.57 23695.91 293
patchmatchnet-post83.76 34371.53 22096.48 266
GG-mvs-BLEND87.94 27889.73 32477.91 26187.80 32178.23 36780.58 29283.86 34259.88 32395.33 31371.20 29992.22 17290.60 332
MTMP96.16 4760.64 371
gm-plane-assit89.60 32568.00 34777.28 29588.99 30197.57 18579.44 237
test9_res91.91 6698.71 3498.07 67
TEST997.53 6386.49 4194.07 17796.78 7481.61 24192.77 7096.20 8387.71 2999.12 58
test_897.49 6686.30 5094.02 18296.76 7781.86 23492.70 7496.20 8387.63 3099.02 71
agg_prior290.54 9298.68 3998.27 51
agg_prior97.38 6985.92 6396.72 8392.16 8598.97 83
TestCases89.52 23795.01 14777.79 26790.89 32077.41 29276.12 32893.34 18354.08 34397.51 18968.31 31984.27 25793.26 268
test_prior485.96 6094.11 172
test_prior294.12 17087.67 10492.63 7596.39 7586.62 4291.50 7698.67 41
test_prior93.82 6797.29 7484.49 9096.88 6298.87 9198.11 65
旧先验293.36 20771.25 34294.37 3097.13 22786.74 135
新几何293.11 222
新几何193.10 8497.30 7384.35 9995.56 16871.09 34391.26 10796.24 8082.87 8798.86 9479.19 24198.10 6896.07 152
旧先验196.79 8581.81 16395.67 16096.81 5686.69 4197.66 8296.97 119
无先验93.28 21496.26 11473.95 32499.05 6380.56 22296.59 132
原ACMM292.94 229
原ACMM192.01 13397.34 7181.05 18596.81 7278.89 27590.45 11595.92 9482.65 8898.84 9980.68 22098.26 6396.14 145
test22296.55 9381.70 16592.22 25095.01 20368.36 34990.20 11896.14 8880.26 11597.80 7896.05 154
testdata298.75 10378.30 248
segment_acmp87.16 38
testdata90.49 19796.40 9777.89 26395.37 18872.51 33693.63 4996.69 6182.08 9997.65 17983.08 17497.39 8795.94 156
testdata192.15 25287.94 94
test1294.34 5697.13 7986.15 5396.29 11291.04 11185.08 6199.01 7398.13 6797.86 83
plane_prior794.70 16782.74 141
plane_prior694.52 17382.75 13974.23 185
plane_prior596.22 11998.12 14088.15 11589.99 19194.63 202
plane_prior494.86 127
plane_prior382.75 13990.26 3386.91 168
plane_prior295.85 6490.81 18
plane_prior194.59 171
plane_prior82.73 14295.21 9889.66 4789.88 196
n20.00 379
nn0.00 379
door-mid85.49 354
lessismore_v086.04 30988.46 33368.78 34680.59 36373.01 34490.11 28555.39 33796.43 27175.06 28065.06 35292.90 285
LGP-MVS_train91.12 17194.47 17581.49 17196.14 12486.73 12585.45 20395.16 11769.89 24398.10 14287.70 12189.23 20793.77 250
test1196.57 98
door85.33 355
HQP5-MVS81.56 167
HQP-NCC94.17 18794.39 15488.81 6885.43 206
ACMP_Plane94.17 18794.39 15488.81 6885.43 206
BP-MVS87.11 132
HQP4-MVS85.43 20697.96 16194.51 212
HQP3-MVS96.04 13389.77 198
HQP2-MVS73.83 195
NP-MVS94.37 18182.42 15193.98 162
MDTV_nov1_ep13_2view55.91 36687.62 32673.32 32984.59 22470.33 23974.65 28395.50 171
MDTV_nov1_ep1383.56 26391.69 26469.93 34287.75 32391.54 30278.60 28284.86 22088.90 30369.54 24896.03 28670.25 30588.93 211
ACMMP++_ref87.47 232
ACMMP++88.01 227
Test By Simon80.02 117
ITE_SJBPF88.24 27091.88 25677.05 28192.92 26685.54 15180.13 30093.30 18757.29 33296.20 28072.46 29584.71 25391.49 315
DeepMVS_CXcopyleft56.31 34874.23 36451.81 36756.67 37344.85 36248.54 36275.16 35327.87 36558.74 36940.92 36252.22 36058.39 362