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 2297.62 598.06 692.59 299.61 395.64 699.02 1298.86 10
SED-MVS95.91 296.28 294.80 3698.77 585.99 5897.13 1397.44 1490.31 3197.71 198.07 492.31 499.58 895.66 499.13 398.84 13
DVP-MVScopyleft95.67 396.02 394.64 4398.78 385.93 6197.09 1596.73 8390.27 3397.04 1098.05 891.47 899.55 1595.62 899.08 798.45 38
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 8397.51 489.13 6397.14 897.91 1191.64 799.62 194.61 1499.17 298.86 10
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 5197.46 597.40 2089.03 6696.20 1698.10 289.39 1699.34 3695.88 399.03 1199.10 4
MSP-MVS95.42 695.56 694.98 2198.49 1886.52 4096.91 2497.47 1091.73 996.10 1796.69 6389.90 1299.30 4294.70 1298.04 7399.13 2
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 9596.96 5792.09 395.32 2397.08 4389.49 1599.33 3995.10 1198.85 1998.66 20
SMA-MVScopyleft95.20 895.07 1095.59 598.14 3888.48 896.26 4497.28 3185.90 14697.67 398.10 288.41 2099.56 1094.66 1399.19 198.71 18
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 8386.33 4797.33 697.30 2991.38 1395.39 2297.46 1988.98 1999.40 3194.12 1898.89 1898.82 15
Skip Steuart: Steuart Systems R&D Blog.
HPM-MVS++copyleft95.14 1094.91 1295.83 498.25 3189.65 495.92 6696.96 5791.75 894.02 4196.83 5688.12 2599.55 1593.41 3298.94 1698.28 54
SF-MVS94.97 1194.90 1395.20 1097.84 5287.76 1096.65 3297.48 987.76 10695.71 1997.70 1388.28 2399.35 3493.89 2298.78 2598.48 30
SD-MVS94.96 1295.33 893.88 6597.25 8086.69 3296.19 4897.11 4690.42 3096.95 1297.27 2989.53 1496.91 24894.38 1698.85 1998.03 78
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 5596.62 9588.14 9396.10 1796.96 5089.09 1898.94 8794.48 1598.68 3998.48 30
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 7896.93 6092.34 293.94 4296.58 7387.74 2999.44 3092.83 4198.40 5798.62 22
ACMMP_NAP94.74 1594.56 1795.28 898.02 4587.70 1295.68 7697.34 2288.28 8795.30 2497.67 1585.90 5499.54 1993.91 2198.95 1598.60 23
xxxxxxxxxxxxxcwj94.65 1694.70 1594.48 5097.85 5085.63 7295.21 10195.47 17889.44 5295.71 1997.70 1388.28 2399.35 3493.89 2298.78 2598.48 30
ETH3D-3000-0.194.61 1794.44 2095.12 1397.70 6087.71 1195.98 6397.44 1486.67 13295.25 2597.31 2787.73 3099.24 4793.11 3998.76 3098.40 41
HFP-MVS94.52 1894.40 2194.86 2798.61 1086.81 2696.94 1997.34 2288.63 7593.65 4997.21 3486.10 5099.49 2692.35 5298.77 2898.30 50
ZNCC-MVS94.47 1994.28 2595.03 1698.52 1686.96 1996.85 2797.32 2788.24 8893.15 6397.04 4686.17 4999.62 192.40 5098.81 2298.52 26
zzz-MVS94.47 1994.30 2495.00 1898.42 2286.95 2095.06 11396.97 5391.07 1593.14 6497.56 1684.30 7399.56 1093.43 3098.75 3198.47 34
XVS94.45 2194.32 2294.85 2998.54 1486.60 3896.93 2197.19 3890.66 2792.85 7097.16 4085.02 6699.49 2691.99 6498.56 5198.47 34
MCST-MVS94.45 2194.20 3195.19 1198.46 2087.50 1595.00 11597.12 4487.13 11992.51 8496.30 8289.24 1799.34 3693.46 2998.62 4898.73 16
region2R94.43 2394.27 2794.92 2298.65 886.67 3496.92 2397.23 3588.60 7793.58 5397.27 2985.22 6299.54 1992.21 5598.74 3398.56 25
ACMMPR94.43 2394.28 2594.91 2498.63 986.69 3296.94 1997.32 2788.63 7593.53 5697.26 3185.04 6599.54 1992.35 5298.78 2598.50 28
MTAPA94.42 2594.22 2895.00 1898.42 2286.95 2094.36 16396.97 5391.07 1593.14 6497.56 1684.30 7399.56 1093.43 3098.75 3198.47 34
testtj94.39 2694.18 3395.00 1898.24 3386.77 3096.16 4997.23 3587.28 11794.85 2997.04 4686.99 4299.52 2391.54 7898.33 6098.71 18
CP-MVS94.34 2794.21 3094.74 4098.39 2586.64 3697.60 497.24 3388.53 7992.73 7797.23 3285.20 6399.32 4092.15 5898.83 2198.25 59
Regformer-294.33 2894.22 2894.68 4195.54 13586.75 3194.57 14396.70 8891.84 694.41 3196.56 7587.19 3999.13 5793.50 2897.65 8698.16 66
#test#94.32 2994.14 3594.86 2798.61 1086.81 2696.43 3597.34 2287.51 11293.65 4997.21 3486.10 5099.49 2691.68 7698.77 2898.30 50
MP-MVScopyleft94.25 3094.07 3894.77 3898.47 1986.31 4996.71 3096.98 5289.04 6591.98 9397.19 3785.43 6099.56 1092.06 6398.79 2398.44 39
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
APD-MVScopyleft94.24 3194.07 3894.75 3998.06 4386.90 2395.88 6796.94 5985.68 15295.05 2797.18 3887.31 3699.07 6191.90 7298.61 4998.28 54
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
SR-MVS94.23 3294.17 3494.43 5398.21 3585.78 6996.40 3896.90 6288.20 9194.33 3397.40 2384.75 7099.03 6793.35 3397.99 7498.48 30
Regformer-194.22 3394.13 3694.51 4995.54 13586.36 4694.57 14396.44 10491.69 1194.32 3496.56 7587.05 4199.03 6793.35 3397.65 8698.15 67
GST-MVS94.21 3493.97 4294.90 2698.41 2486.82 2596.54 3497.19 3888.24 8893.26 5996.83 5685.48 5999.59 791.43 8298.40 5798.30 50
MP-MVS-pluss94.21 3494.00 4194.85 2998.17 3686.65 3594.82 12797.17 4286.26 14092.83 7297.87 1285.57 5899.56 1094.37 1798.92 1798.34 45
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DeepPCF-MVS89.96 194.20 3694.77 1492.49 11696.52 9980.00 21794.00 18897.08 4790.05 3795.65 2197.29 2889.66 1398.97 8393.95 2098.71 3498.50 28
CS-MVS94.05 3794.45 1992.84 9796.57 9682.09 15897.63 396.97 5391.71 1093.51 5896.22 8785.65 5698.24 13693.60 2798.17 6498.20 63
DeepC-MVS_fast89.43 294.04 3893.79 4794.80 3697.48 6986.78 2895.65 8096.89 6389.40 5592.81 7396.97 4985.37 6199.24 4790.87 9198.69 3798.38 44
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 3993.88 4394.43 5398.39 2585.78 6997.25 997.07 4886.90 12792.62 8196.80 6084.85 6999.17 5392.43 4898.65 4698.33 46
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
mPP-MVS93.99 4093.78 4894.63 4498.50 1785.90 6696.87 2596.91 6188.70 7391.83 9997.17 3983.96 7999.55 1591.44 8198.64 4798.43 40
test117293.97 4194.07 3893.66 7498.11 3983.45 12096.26 4496.84 6988.33 8394.19 3697.43 2084.24 7599.01 7393.26 3597.98 7598.52 26
PGM-MVS93.96 4293.72 5094.68 4198.43 2186.22 5295.30 9397.78 187.45 11593.26 5997.33 2684.62 7199.51 2490.75 9398.57 5098.32 49
ETH3D cwj APD-0.1693.91 4393.53 5595.06 1596.76 8887.78 994.92 12097.21 3784.33 18293.89 4497.09 4287.20 3899.29 4491.90 7298.44 5598.12 70
Regformer-493.91 4393.81 4694.19 6095.36 14085.47 7594.68 13596.41 10791.60 1293.75 4696.71 6185.95 5399.10 6093.21 3796.65 10598.01 80
PHI-MVS93.89 4593.65 5394.62 4596.84 8686.43 4396.69 3197.49 585.15 16893.56 5596.28 8485.60 5799.31 4192.45 4798.79 2398.12 70
SR-MVS-dyc-post93.82 4693.82 4593.82 6797.92 4784.57 8696.28 4296.76 7987.46 11393.75 4697.43 2084.24 7599.01 7392.73 4297.80 8197.88 88
APD-MVS_3200maxsize93.78 4793.77 4993.80 7197.92 4784.19 10196.30 4096.87 6686.96 12393.92 4397.47 1883.88 8098.96 8692.71 4597.87 7998.26 58
patch_mono-293.74 4894.32 2292.01 13497.54 6478.37 25293.40 21197.19 3888.02 9594.99 2897.21 3488.35 2198.44 12394.07 1998.09 7099.23 1
MSLP-MVS++93.72 4994.08 3792.65 10897.31 7483.43 12195.79 7197.33 2590.03 3893.58 5396.96 5084.87 6897.76 17592.19 5798.66 4496.76 132
Regformer-393.68 5093.64 5493.81 7095.36 14084.61 8494.68 13595.83 15191.27 1493.60 5296.71 6185.75 5598.86 9492.87 4096.65 10597.96 82
TSAR-MVS + GP.93.66 5193.41 5794.41 5596.59 9386.78 2894.40 15593.93 24889.77 4694.21 3595.59 11387.35 3598.61 11192.72 4496.15 11497.83 92
ETH3 D test640093.64 5293.22 6094.92 2297.79 5486.84 2495.31 9097.26 3282.67 21993.81 4596.29 8387.29 3799.27 4589.87 9998.67 4198.65 21
CS-MVS-test93.62 5393.88 4392.86 9696.59 9382.12 15796.43 3596.57 9991.76 793.52 5794.41 15083.85 8198.24 13693.62 2598.17 6498.21 62
test_prior393.60 5493.53 5593.82 6797.29 7684.49 9094.12 17496.88 6487.67 10992.63 7996.39 8086.62 4498.87 9191.50 7998.67 4198.11 72
CANet93.54 5593.20 6294.55 4795.65 13085.73 7194.94 11896.69 9091.89 590.69 11595.88 10281.99 10499.54 1993.14 3897.95 7798.39 42
dcpmvs_293.49 5694.19 3291.38 16597.69 6176.78 28594.25 16796.29 11388.33 8394.46 3096.88 5388.07 2698.64 10793.62 2598.09 7098.73 16
MVS_111021_HR93.45 5793.31 5893.84 6696.99 8384.84 8093.24 22397.24 3388.76 7291.60 10495.85 10386.07 5298.66 10591.91 6998.16 6698.03 78
train_agg93.44 5893.08 6394.52 4897.53 6586.49 4194.07 18196.78 7681.86 23992.77 7496.20 8987.63 3299.12 5892.14 5998.69 3797.94 83
DROMVSNet93.44 5893.71 5192.63 10995.21 14882.43 15097.27 896.71 8790.57 2992.88 6995.80 10583.16 8498.16 14393.68 2498.14 6797.31 109
DELS-MVS93.43 6093.25 5993.97 6295.42 13985.04 7993.06 23097.13 4390.74 2491.84 9795.09 12686.32 4899.21 5091.22 8398.45 5497.65 97
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 6193.22 6093.94 6498.36 2784.83 8197.15 1296.80 7585.77 14992.47 8597.13 4182.38 9399.07 6190.51 9598.40 5797.92 86
DeepC-MVS88.79 393.31 6292.99 6694.26 5896.07 11485.83 6794.89 12296.99 5189.02 6789.56 12897.37 2582.51 9299.38 3292.20 5698.30 6197.57 102
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 6392.97 6794.26 5897.38 7185.92 6393.92 19296.72 8581.96 23392.16 8996.23 8687.85 2798.97 8391.95 6898.55 5397.90 87
canonicalmvs93.27 6492.75 7094.85 2995.70 12987.66 1396.33 3996.41 10790.00 3994.09 3994.60 14582.33 9598.62 11092.40 5092.86 16998.27 56
ACMMPcopyleft93.24 6592.88 6994.30 5798.09 4285.33 7796.86 2697.45 1388.33 8390.15 12497.03 4881.44 10799.51 2490.85 9295.74 11798.04 77
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 6693.05 6493.76 7298.04 4484.07 10396.22 4797.37 2184.15 18490.05 12595.66 11087.77 2899.15 5689.91 9898.27 6298.07 74
abl_693.18 6793.05 6493.57 7697.52 6784.27 10095.53 8496.67 9187.85 10393.20 6297.22 3380.35 11499.18 5291.91 6997.21 9197.26 112
alignmvs93.08 6892.50 7494.81 3595.62 13287.61 1495.99 6196.07 13189.77 4694.12 3894.87 13280.56 11398.66 10592.42 4993.10 16498.15 67
EI-MVSNet-Vis-set93.01 6992.92 6893.29 7795.01 15483.51 11994.48 14795.77 15590.87 1892.52 8396.67 6584.50 7299.00 7891.99 6494.44 14297.36 108
UA-Net92.83 7092.54 7393.68 7396.10 11284.71 8395.66 7896.39 10991.92 493.22 6196.49 7783.16 8498.87 9184.47 16495.47 12297.45 107
CDPH-MVS92.83 7092.30 7694.44 5197.79 5486.11 5494.06 18396.66 9280.09 26692.77 7496.63 7086.62 4499.04 6687.40 12798.66 4498.17 65
ETV-MVS92.74 7292.66 7192.97 9195.20 14984.04 10595.07 11096.51 10290.73 2592.96 6891.19 26284.06 7798.34 13091.72 7596.54 10896.54 141
EI-MVSNet-UG-set92.74 7292.62 7293.12 8394.86 16583.20 12694.40 15595.74 15890.71 2692.05 9296.60 7284.00 7898.99 8091.55 7793.63 15097.17 117
DPM-MVS92.58 7491.74 8295.08 1496.19 10789.31 592.66 24096.56 10183.44 20191.68 10395.04 12786.60 4798.99 8085.60 15197.92 7896.93 128
casdiffmvs92.51 7592.43 7592.74 10394.41 18681.98 16294.54 14596.23 12089.57 5091.96 9496.17 9382.58 9198.01 16290.95 8995.45 12498.23 60
MVS_111021_LR92.47 7692.29 7792.98 9095.99 11884.43 9793.08 22896.09 12988.20 9191.12 11295.72 10981.33 10997.76 17591.74 7497.37 9096.75 133
3Dnovator+87.14 492.42 7791.37 8595.55 695.63 13188.73 697.07 1796.77 7890.84 1984.02 24896.62 7175.95 16499.34 3687.77 12297.68 8498.59 24
baseline92.39 7892.29 7792.69 10794.46 18381.77 16694.14 17396.27 11589.22 5991.88 9596.00 9782.35 9497.99 16491.05 8595.27 12998.30 50
VNet92.24 7991.91 8093.24 7996.59 9383.43 12194.84 12696.44 10489.19 6194.08 4095.90 10177.85 14998.17 14288.90 10993.38 15898.13 69
CPTT-MVS91.99 8091.80 8192.55 11398.24 3381.98 16296.76 2996.49 10381.89 23890.24 12096.44 7978.59 13898.61 11189.68 10097.85 8097.06 121
EIA-MVS91.95 8191.94 7991.98 13895.16 15080.01 21695.36 8796.73 8388.44 8089.34 13292.16 22983.82 8298.45 12289.35 10497.06 9497.48 105
DP-MVS Recon91.95 8191.28 8793.96 6398.33 2985.92 6394.66 13896.66 9282.69 21890.03 12695.82 10482.30 9699.03 6784.57 16396.48 11196.91 129
EPNet91.79 8391.02 9394.10 6190.10 32185.25 7896.03 6092.05 28992.83 187.39 16595.78 10679.39 12999.01 7388.13 11997.48 8898.05 76
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MG-MVS91.77 8491.70 8392.00 13797.08 8280.03 21593.60 20595.18 19887.85 10390.89 11496.47 7882.06 10298.36 12785.07 15597.04 9597.62 98
Vis-MVSNetpermissive91.75 8591.23 8893.29 7795.32 14383.78 11196.14 5295.98 13789.89 4090.45 11796.58 7375.09 17698.31 13484.75 16196.90 9897.78 95
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
3Dnovator86.66 591.73 8690.82 9794.44 5194.59 17786.37 4597.18 1197.02 5089.20 6084.31 24396.66 6673.74 19999.17 5386.74 13797.96 7697.79 94
EPP-MVSNet91.70 8791.56 8492.13 13295.88 12280.50 20297.33 695.25 19486.15 14289.76 12795.60 11283.42 8398.32 13387.37 12993.25 16197.56 103
MVSFormer91.68 8891.30 8692.80 9993.86 20683.88 10895.96 6495.90 14584.66 17891.76 10094.91 13077.92 14697.30 21689.64 10197.11 9297.24 113
Effi-MVS+91.59 8991.11 9093.01 8994.35 19083.39 12394.60 14095.10 20287.10 12090.57 11693.10 20181.43 10898.07 15789.29 10594.48 14097.59 101
IS-MVSNet91.43 9091.09 9292.46 11795.87 12481.38 17896.95 1893.69 25789.72 4889.50 13095.98 9878.57 13997.77 17483.02 18196.50 11098.22 61
PVSNet_Blended_VisFu91.38 9190.91 9592.80 9996.39 10283.17 12794.87 12496.66 9283.29 20589.27 13394.46 14980.29 11699.17 5387.57 12595.37 12596.05 159
diffmvs91.37 9291.23 8891.77 15293.09 22980.27 20592.36 25095.52 17587.03 12291.40 10894.93 12980.08 11897.44 20192.13 6094.56 13897.61 99
MVS_Test91.31 9391.11 9091.93 14294.37 18780.14 20893.46 21095.80 15386.46 13591.35 10993.77 18082.21 9898.09 15487.57 12594.95 13197.55 104
OMC-MVS91.23 9490.62 9993.08 8596.27 10584.07 10393.52 20795.93 14186.95 12489.51 12996.13 9578.50 14098.35 12985.84 14892.90 16896.83 131
PAPM_NR91.22 9590.78 9892.52 11597.60 6381.46 17594.37 16296.24 11986.39 13887.41 16294.80 13782.06 10298.48 11782.80 18795.37 12597.61 99
PS-MVSNAJ91.18 9690.92 9491.96 14095.26 14682.60 14992.09 26095.70 16086.27 13991.84 9792.46 21979.70 12498.99 8089.08 10795.86 11694.29 226
xiu_mvs_v2_base91.13 9790.89 9691.86 14694.97 15782.42 15192.24 25495.64 16786.11 14591.74 10293.14 19979.67 12798.89 9089.06 10895.46 12394.28 227
nrg03091.08 9890.39 10093.17 8293.07 23086.91 2296.41 3796.26 11688.30 8688.37 14594.85 13582.19 9997.64 18691.09 8482.95 27594.96 194
lupinMVS90.92 9990.21 10393.03 8893.86 20683.88 10892.81 23793.86 25279.84 26991.76 10094.29 15577.92 14698.04 15990.48 9697.11 9297.17 117
h-mvs3390.80 10090.15 10692.75 10296.01 11682.66 14695.43 8695.53 17489.80 4293.08 6695.64 11175.77 16599.00 7892.07 6178.05 33196.60 137
jason90.80 10090.10 10792.90 9493.04 23283.53 11893.08 22894.15 24280.22 26391.41 10794.91 13076.87 15297.93 16990.28 9796.90 9897.24 113
jason: jason.
VDD-MVS90.74 10289.92 11493.20 8096.27 10583.02 13295.73 7393.86 25288.42 8292.53 8296.84 5562.09 30998.64 10790.95 8992.62 17297.93 85
PVSNet_Blended90.73 10390.32 10291.98 13896.12 10981.25 18092.55 24596.83 7182.04 23189.10 13592.56 21781.04 11198.85 9786.72 13995.91 11595.84 166
test_yl90.69 10490.02 11292.71 10495.72 12782.41 15394.11 17695.12 20085.63 15391.49 10594.70 13974.75 18098.42 12586.13 14492.53 17397.31 109
DCV-MVSNet90.69 10490.02 11292.71 10495.72 12782.41 15394.11 17695.12 20085.63 15391.49 10594.70 13974.75 18098.42 12586.13 14492.53 17397.31 109
API-MVS90.66 10690.07 10892.45 11896.36 10384.57 8696.06 5995.22 19782.39 22289.13 13494.27 15880.32 11598.46 11980.16 23496.71 10394.33 225
xiu_mvs_v1_base_debu90.64 10790.05 10992.40 11993.97 20384.46 9393.32 21395.46 17985.17 16592.25 8694.03 16170.59 23598.57 11390.97 8694.67 13394.18 228
xiu_mvs_v1_base90.64 10790.05 10992.40 11993.97 20384.46 9393.32 21395.46 17985.17 16592.25 8694.03 16170.59 23598.57 11390.97 8694.67 13394.18 228
xiu_mvs_v1_base_debi90.64 10790.05 10992.40 11993.97 20384.46 9393.32 21395.46 17985.17 16592.25 8694.03 16170.59 23598.57 11390.97 8694.67 13394.18 228
HQP_MVS90.60 11090.19 10491.82 14994.70 17382.73 14295.85 6896.22 12190.81 2086.91 17394.86 13374.23 18798.12 14488.15 11789.99 19694.63 207
FIs90.51 11190.35 10190.99 18493.99 20280.98 18895.73 7397.54 389.15 6286.72 17794.68 14181.83 10697.24 22485.18 15488.31 22794.76 204
112190.42 11289.49 11893.20 8097.27 7884.46 9392.63 24195.51 17671.01 34991.20 11196.21 8882.92 8899.05 6380.56 22798.07 7296.10 155
MAR-MVS90.30 11389.37 12393.07 8796.61 9284.48 9295.68 7695.67 16282.36 22487.85 15392.85 20776.63 15898.80 10180.01 23596.68 10495.91 162
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 11490.18 10590.53 19693.71 21279.85 22195.77 7297.59 289.31 5786.27 18694.67 14281.93 10597.01 24284.26 16688.09 23194.71 205
CANet_DTU90.26 11589.41 12292.81 9893.46 22083.01 13393.48 20894.47 23089.43 5487.76 15794.23 15970.54 23999.03 6784.97 15696.39 11296.38 143
OPM-MVS90.12 11689.56 11791.82 14993.14 22783.90 10794.16 17295.74 15888.96 6887.86 15295.43 11672.48 21597.91 17088.10 12090.18 19593.65 261
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
LFMVS90.08 11789.13 13092.95 9296.71 8982.32 15596.08 5689.91 33986.79 12892.15 9196.81 5862.60 30698.34 13087.18 13193.90 14698.19 64
GeoE90.05 11889.43 12191.90 14595.16 15080.37 20495.80 7094.65 22783.90 18987.55 16194.75 13878.18 14497.62 18881.28 21393.63 15097.71 96
PAPR90.02 11989.27 12892.29 12895.78 12580.95 19092.68 23996.22 12181.91 23686.66 17893.75 18282.23 9798.44 12379.40 24594.79 13297.48 105
PVSNet_BlendedMVS89.98 12089.70 11590.82 18896.12 10981.25 18093.92 19296.83 7183.49 20089.10 13592.26 22781.04 11198.85 9786.72 13987.86 23592.35 307
PS-MVSNAJss89.97 12189.62 11691.02 18191.90 26080.85 19395.26 9895.98 13786.26 14086.21 18794.29 15579.70 12497.65 18488.87 11088.10 22994.57 213
XVG-OURS-SEG-HR89.95 12289.45 11991.47 16294.00 20181.21 18391.87 26396.06 13385.78 14888.55 14195.73 10874.67 18397.27 22088.71 11289.64 20595.91 162
UGNet89.95 12288.95 13492.95 9294.51 18083.31 12495.70 7595.23 19589.37 5687.58 15993.94 16964.00 29998.78 10283.92 17096.31 11396.74 134
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 12489.29 12691.81 15193.39 22183.72 11294.43 15397.12 4489.80 4286.46 18093.32 19083.16 8497.23 22584.92 15781.02 30494.49 220
AdaColmapbinary89.89 12589.07 13192.37 12397.41 7083.03 13194.42 15495.92 14282.81 21686.34 18594.65 14373.89 19599.02 7180.69 22495.51 12095.05 189
hse-mvs289.88 12689.34 12491.51 15994.83 16781.12 18593.94 19193.91 25189.80 4293.08 6693.60 18575.77 16597.66 18292.07 6177.07 33895.74 171
UniMVSNet (Re)89.80 12789.07 13192.01 13493.60 21684.52 8994.78 13097.47 1089.26 5886.44 18392.32 22482.10 10097.39 21384.81 16080.84 30894.12 232
HQP-MVS89.80 12789.28 12791.34 16794.17 19281.56 16994.39 15796.04 13588.81 6985.43 21193.97 16873.83 19797.96 16687.11 13489.77 20394.50 218
VPA-MVSNet89.62 12988.96 13391.60 15793.86 20682.89 13795.46 8597.33 2587.91 9888.43 14493.31 19174.17 19097.40 21087.32 13082.86 28094.52 216
WTY-MVS89.60 13088.92 13591.67 15595.47 13881.15 18492.38 24994.78 22383.11 20889.06 13794.32 15378.67 13796.61 26181.57 21090.89 18997.24 113
Vis-MVSNet (Re-imp)89.59 13189.44 12090.03 22195.74 12675.85 29795.61 8190.80 32487.66 11187.83 15495.40 11776.79 15496.46 27478.37 25196.73 10297.80 93
VDDNet89.56 13288.49 14792.76 10195.07 15382.09 15896.30 4093.19 26481.05 25891.88 9596.86 5461.16 31998.33 13288.43 11592.49 17597.84 91
114514_t89.51 13388.50 14592.54 11498.11 3981.99 16195.16 10696.36 11170.19 35185.81 19295.25 12076.70 15698.63 10982.07 19896.86 10197.00 125
QAPM89.51 13388.15 15693.59 7594.92 16184.58 8596.82 2896.70 8878.43 28983.41 26496.19 9273.18 20799.30 4277.11 26696.54 10896.89 130
CLD-MVS89.47 13588.90 13691.18 17294.22 19182.07 16092.13 25896.09 12987.90 9985.37 21792.45 22074.38 18597.56 19187.15 13290.43 19193.93 242
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 13689.14 12990.38 20793.33 22277.63 27394.95 11794.36 23387.70 10787.10 16992.81 21173.45 20298.03 16185.57 15293.04 16595.48 177
LPG-MVS_test89.45 13688.90 13691.12 17394.47 18181.49 17395.30 9396.14 12686.73 13085.45 20895.16 12369.89 24598.10 14687.70 12389.23 21293.77 255
CDS-MVSNet89.45 13688.51 14492.29 12893.62 21583.61 11793.01 23194.68 22681.95 23487.82 15593.24 19578.69 13696.99 24380.34 23193.23 16296.28 146
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
Fast-Effi-MVS+89.41 13988.64 14091.71 15494.74 16980.81 19493.54 20695.10 20283.11 20886.82 17690.67 28079.74 12397.75 17880.51 22993.55 15296.57 139
ab-mvs89.41 13988.35 14992.60 11095.15 15282.65 14792.20 25695.60 16983.97 18888.55 14193.70 18474.16 19198.21 14182.46 19289.37 20896.94 127
XVG-OURS89.40 14188.70 13991.52 15894.06 19581.46 17591.27 27696.07 13186.14 14388.89 13995.77 10768.73 26497.26 22287.39 12889.96 19895.83 167
mvs_anonymous89.37 14289.32 12589.51 24493.47 21974.22 30991.65 27194.83 21982.91 21485.45 20893.79 17881.23 11096.36 28086.47 14194.09 14497.94 83
DU-MVS89.34 14388.50 14591.85 14893.04 23283.72 11294.47 15096.59 9789.50 5186.46 18093.29 19377.25 15097.23 22584.92 15781.02 30494.59 211
TAMVS89.21 14488.29 15391.96 14093.71 21282.62 14893.30 21794.19 24082.22 22687.78 15693.94 16978.83 13396.95 24577.70 25992.98 16796.32 144
ACMM84.12 989.14 14588.48 14891.12 17394.65 17681.22 18295.31 9096.12 12885.31 16385.92 19194.34 15170.19 24398.06 15885.65 15088.86 21794.08 236
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test111189.10 14688.64 14090.48 20195.53 13774.97 30296.08 5684.89 35988.13 9490.16 12396.65 6763.29 30298.10 14686.14 14296.90 9898.39 42
EI-MVSNet89.10 14688.86 13889.80 23391.84 26278.30 25493.70 20295.01 20585.73 15087.15 16695.28 11879.87 12197.21 22783.81 17287.36 24093.88 245
ECVR-MVScopyleft89.09 14888.53 14390.77 19095.62 13275.89 29696.16 4984.22 36187.89 10190.20 12196.65 6763.19 30498.10 14685.90 14796.94 9698.33 46
CNLPA89.07 14987.98 16092.34 12496.87 8584.78 8294.08 18093.24 26281.41 24984.46 23395.13 12575.57 17296.62 25877.21 26493.84 14895.61 175
PLCcopyleft84.53 789.06 15088.03 15892.15 13197.27 7882.69 14594.29 16595.44 18479.71 27184.01 24994.18 16076.68 15798.75 10377.28 26393.41 15795.02 190
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
test_djsdf89.03 15188.64 14090.21 21290.74 30779.28 23595.96 6495.90 14584.66 17885.33 21992.94 20574.02 19397.30 21689.64 10188.53 22094.05 238
HY-MVS83.01 1289.03 15187.94 16292.29 12894.86 16582.77 13892.08 26194.49 22981.52 24886.93 17192.79 21378.32 14398.23 13879.93 23690.55 19095.88 164
ACMP84.23 889.01 15388.35 14990.99 18494.73 17081.27 17995.07 11095.89 14786.48 13483.67 25794.30 15469.33 25397.99 16487.10 13688.55 21993.72 259
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
test_part189.00 15487.99 15992.04 13395.94 12183.81 11096.14 5296.05 13486.44 13685.69 19593.73 18371.57 22197.66 18285.80 14980.54 31294.66 206
sss88.93 15588.26 15590.94 18794.05 19680.78 19591.71 26895.38 18881.55 24788.63 14093.91 17375.04 17795.47 31682.47 19191.61 18096.57 139
RRT_MVS88.86 15687.68 16692.39 12292.02 25786.09 5594.38 16194.94 20885.45 15987.14 16893.84 17765.88 29197.11 23388.73 11186.77 24793.98 241
TranMVSNet+NR-MVSNet88.84 15787.95 16191.49 16092.68 24283.01 13394.92 12096.31 11289.88 4185.53 20193.85 17676.63 15896.96 24481.91 20279.87 32294.50 218
CHOSEN 1792x268888.84 15787.69 16592.30 12796.14 10881.42 17790.01 29895.86 14974.52 32587.41 16293.94 16975.46 17398.36 12780.36 23095.53 11997.12 120
MVSTER88.84 15788.29 15390.51 19992.95 23780.44 20393.73 19995.01 20584.66 17887.15 16693.12 20072.79 21197.21 22787.86 12187.36 24093.87 246
OpenMVScopyleft83.78 1188.74 16087.29 17593.08 8592.70 24185.39 7696.57 3396.43 10678.74 28580.85 29396.07 9669.64 24999.01 7378.01 25796.65 10594.83 201
thisisatest053088.67 16187.61 16891.86 14694.87 16480.07 21194.63 13989.90 34084.00 18788.46 14393.78 17966.88 27898.46 11983.30 17792.65 17197.06 121
Effi-MVS+-dtu88.65 16288.35 14989.54 24193.33 22276.39 29194.47 15094.36 23387.70 10785.43 21189.56 30273.45 20297.26 22285.57 15291.28 18294.97 191
tttt051788.61 16387.78 16491.11 17694.96 15877.81 26795.35 8889.69 34385.09 17088.05 15094.59 14666.93 27698.48 11783.27 17892.13 17897.03 123
BH-untuned88.60 16488.13 15790.01 22495.24 14778.50 24893.29 21894.15 24284.75 17684.46 23393.40 18775.76 16797.40 21077.59 26094.52 13994.12 232
NR-MVSNet88.58 16587.47 17191.93 14293.04 23284.16 10294.77 13196.25 11889.05 6480.04 30793.29 19379.02 13297.05 23981.71 20980.05 31994.59 211
1112_ss88.42 16687.33 17491.72 15394.92 16180.98 18892.97 23394.54 22878.16 29483.82 25393.88 17478.78 13597.91 17079.45 24189.41 20796.26 147
WR-MVS88.38 16787.67 16790.52 19893.30 22480.18 20693.26 22095.96 13988.57 7885.47 20792.81 21176.12 16096.91 24881.24 21482.29 28394.47 223
BH-RMVSNet88.37 16887.48 17091.02 18195.28 14479.45 22792.89 23593.07 26685.45 15986.91 17394.84 13670.35 24097.76 17573.97 29294.59 13795.85 165
IterMVS-LS88.36 16987.91 16389.70 23793.80 20978.29 25593.73 19995.08 20485.73 15084.75 22691.90 24379.88 12096.92 24783.83 17182.51 28193.89 243
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
X-MVStestdata88.31 17086.13 21394.85 2998.54 1486.60 3896.93 2197.19 3890.66 2792.85 7023.41 37385.02 6699.49 2691.99 6498.56 5198.47 34
LCM-MVSNet-Re88.30 17188.32 15288.27 27394.71 17272.41 33193.15 22490.98 31887.77 10579.25 31591.96 24178.35 14295.75 30583.04 18095.62 11896.65 136
jajsoiax88.24 17287.50 16990.48 20190.89 30180.14 20895.31 9095.65 16684.97 17284.24 24594.02 16465.31 29397.42 20388.56 11388.52 22193.89 243
VPNet88.20 17387.47 17190.39 20593.56 21779.46 22694.04 18495.54 17388.67 7486.96 17094.58 14769.33 25397.15 22984.05 16980.53 31494.56 214
TAPA-MVS84.62 688.16 17487.01 18291.62 15696.64 9180.65 19794.39 15796.21 12476.38 30586.19 18895.44 11479.75 12298.08 15662.75 34995.29 12796.13 151
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
baseline188.10 17587.28 17690.57 19494.96 15880.07 21194.27 16691.29 31186.74 12987.41 16294.00 16676.77 15596.20 28580.77 22279.31 32795.44 179
Anonymous2024052988.09 17686.59 19792.58 11296.53 9881.92 16495.99 6195.84 15074.11 32889.06 13795.21 12261.44 31498.81 10083.67 17587.47 23797.01 124
HyFIR lowres test88.09 17686.81 18691.93 14296.00 11780.63 19890.01 29895.79 15473.42 33387.68 15892.10 23573.86 19697.96 16680.75 22391.70 17997.19 116
mvs_tets88.06 17887.28 17690.38 20790.94 29779.88 21995.22 10095.66 16485.10 16984.21 24693.94 16963.53 30197.40 21088.50 11488.40 22593.87 246
F-COLMAP87.95 17986.80 18791.40 16496.35 10480.88 19294.73 13395.45 18279.65 27282.04 28194.61 14471.13 22698.50 11676.24 27491.05 18794.80 203
LS3D87.89 18086.32 20792.59 11196.07 11482.92 13695.23 9994.92 21375.66 31282.89 27195.98 9872.48 21599.21 5068.43 32395.23 13095.64 174
anonymousdsp87.84 18187.09 17990.12 21789.13 33280.54 20194.67 13795.55 17182.05 22983.82 25392.12 23271.47 22497.15 22987.15 13287.80 23692.67 296
v2v48287.84 18187.06 18090.17 21390.99 29379.23 23894.00 18895.13 19984.87 17385.53 20192.07 23874.45 18497.45 19984.71 16281.75 29293.85 249
WR-MVS_H87.80 18387.37 17389.10 25293.23 22578.12 25895.61 8197.30 2987.90 9983.72 25592.01 24079.65 12896.01 29376.36 27180.54 31293.16 281
AUN-MVS87.78 18486.54 19991.48 16194.82 16881.05 18693.91 19593.93 24883.00 21186.93 17193.53 18669.50 25197.67 18186.14 14277.12 33795.73 172
PCF-MVS84.11 1087.74 18586.08 21792.70 10694.02 19784.43 9789.27 30895.87 14873.62 33284.43 23594.33 15278.48 14198.86 9470.27 30994.45 14194.81 202
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Anonymous20240521187.68 18686.13 21392.31 12696.66 9080.74 19694.87 12491.49 30680.47 26289.46 13195.44 11454.72 34598.23 13882.19 19689.89 20097.97 81
V4287.68 18686.86 18490.15 21590.58 31280.14 20894.24 16995.28 19383.66 19485.67 19691.33 25774.73 18297.41 20884.43 16581.83 29092.89 291
thres600view787.65 18886.67 19290.59 19396.08 11378.72 24194.88 12391.58 30287.06 12188.08 14892.30 22568.91 26198.10 14670.05 31691.10 18394.96 194
XXY-MVS87.65 18886.85 18590.03 22192.14 25180.60 20093.76 19895.23 19582.94 21384.60 22894.02 16474.27 18695.49 31581.04 21683.68 26894.01 240
Test_1112_low_res87.65 18886.51 20091.08 17794.94 16079.28 23591.77 26594.30 23676.04 31083.51 26292.37 22277.86 14897.73 17978.69 25089.13 21496.22 148
thres100view90087.63 19186.71 19090.38 20796.12 10978.55 24595.03 11491.58 30287.15 11888.06 14992.29 22668.91 26198.10 14670.13 31391.10 18394.48 221
CP-MVSNet87.63 19187.26 17888.74 26293.12 22876.59 28895.29 9596.58 9888.43 8183.49 26392.98 20475.28 17495.83 30178.97 24781.15 30093.79 251
thres40087.62 19386.64 19390.57 19495.99 11878.64 24394.58 14191.98 29386.94 12588.09 14691.77 24569.18 25898.10 14670.13 31391.10 18394.96 194
v114487.61 19486.79 18890.06 22091.01 29279.34 23193.95 19095.42 18783.36 20485.66 19791.31 26074.98 17897.42 20383.37 17682.06 28693.42 270
tfpn200view987.58 19586.64 19390.41 20495.99 11878.64 24394.58 14191.98 29386.94 12588.09 14691.77 24569.18 25898.10 14670.13 31391.10 18394.48 221
BH-w/o87.57 19687.05 18189.12 25194.90 16377.90 26392.41 24793.51 25982.89 21583.70 25691.34 25675.75 16897.07 23775.49 27993.49 15492.39 305
UniMVSNet_ETH3D87.53 19786.37 20391.00 18392.44 24578.96 24094.74 13295.61 16884.07 18685.36 21894.52 14859.78 32897.34 21582.93 18287.88 23496.71 135
ET-MVSNet_ETH3D87.51 19885.91 22492.32 12593.70 21483.93 10692.33 25190.94 32084.16 18372.09 35192.52 21869.90 24495.85 30089.20 10688.36 22697.17 117
131487.51 19886.57 19890.34 21092.42 24679.74 22392.63 24195.35 19278.35 29080.14 30491.62 25274.05 19297.15 22981.05 21593.53 15394.12 232
v887.50 20086.71 19089.89 22791.37 27979.40 22894.50 14695.38 18884.81 17583.60 26091.33 25776.05 16197.42 20382.84 18580.51 31692.84 293
Fast-Effi-MVS+-dtu87.44 20186.72 18989.63 23992.04 25577.68 27294.03 18593.94 24785.81 14782.42 27591.32 25970.33 24197.06 23880.33 23290.23 19494.14 231
MVS87.44 20186.10 21691.44 16392.61 24383.62 11692.63 24195.66 16467.26 35581.47 28592.15 23077.95 14598.22 14079.71 23895.48 12192.47 302
FMVSNet387.40 20386.11 21591.30 16893.79 21183.64 11594.20 17194.81 22183.89 19084.37 23691.87 24468.45 26796.56 26678.23 25485.36 25393.70 260
thisisatest051587.33 20485.99 21991.37 16693.49 21879.55 22490.63 28689.56 34680.17 26487.56 16090.86 27367.07 27598.28 13581.50 21193.02 16696.29 145
PS-CasMVS87.32 20586.88 18388.63 26592.99 23676.33 29395.33 8996.61 9688.22 9083.30 26893.07 20273.03 20995.79 30478.36 25281.00 30693.75 257
GBi-Net87.26 20685.98 22091.08 17794.01 19883.10 12895.14 10794.94 20883.57 19684.37 23691.64 24866.59 28396.34 28178.23 25485.36 25393.79 251
test187.26 20685.98 22091.08 17794.01 19883.10 12895.14 10794.94 20883.57 19684.37 23691.64 24866.59 28396.34 28178.23 25485.36 25393.79 251
v119287.25 20886.33 20690.00 22590.76 30679.04 23993.80 19695.48 17782.57 22085.48 20691.18 26473.38 20697.42 20382.30 19482.06 28693.53 264
v1087.25 20886.38 20289.85 22891.19 28579.50 22594.48 14795.45 18283.79 19283.62 25991.19 26275.13 17597.42 20381.94 20180.60 31092.63 298
DP-MVS87.25 20885.36 23992.90 9497.65 6283.24 12594.81 12892.00 29174.99 32081.92 28395.00 12872.66 21299.05 6366.92 33492.33 17696.40 142
miper_ehance_all_eth87.22 21186.62 19689.02 25592.13 25277.40 27890.91 28294.81 22181.28 25284.32 24190.08 29179.26 13096.62 25883.81 17282.94 27693.04 286
test250687.21 21286.28 20990.02 22395.62 13273.64 31596.25 4671.38 37487.89 10190.45 11796.65 6755.29 34398.09 15486.03 14696.94 9698.33 46
thres20087.21 21286.24 21190.12 21795.36 14078.53 24693.26 22092.10 28786.42 13788.00 15191.11 26869.24 25798.00 16369.58 31791.04 18893.83 250
v14419287.19 21486.35 20589.74 23490.64 31078.24 25693.92 19295.43 18581.93 23585.51 20391.05 27074.21 18997.45 19982.86 18481.56 29493.53 264
FMVSNet287.19 21485.82 22691.30 16894.01 19883.67 11494.79 12994.94 20883.57 19683.88 25192.05 23966.59 28396.51 26977.56 26185.01 25693.73 258
c3_l87.14 21686.50 20189.04 25492.20 24977.26 27991.22 27894.70 22582.01 23284.34 24090.43 28478.81 13496.61 26183.70 17481.09 30193.25 275
Baseline_NR-MVSNet87.07 21786.63 19588.40 26991.44 27377.87 26594.23 17092.57 27784.12 18585.74 19492.08 23677.25 15096.04 29082.29 19579.94 32091.30 324
v14887.04 21886.32 20789.21 24890.94 29777.26 27993.71 20194.43 23184.84 17484.36 23990.80 27676.04 16297.05 23982.12 19779.60 32493.31 272
v192192086.97 21986.06 21889.69 23890.53 31578.11 25993.80 19695.43 18581.90 23785.33 21991.05 27072.66 21297.41 20882.05 19981.80 29193.53 264
miper_enhance_ethall86.90 22086.18 21289.06 25391.66 27077.58 27590.22 29494.82 22079.16 27784.48 23289.10 30579.19 13196.66 25684.06 16882.94 27692.94 289
RRT_test8_iter0586.90 22086.36 20488.52 26793.00 23573.27 31994.32 16495.96 13985.50 15884.26 24492.86 20660.76 32197.70 18088.32 11682.29 28394.60 210
bset_n11_16_dypcd86.83 22285.55 23290.65 19288.22 34381.70 16788.88 31690.42 32785.26 16485.49 20590.69 27967.11 27497.02 24189.51 10384.39 26093.23 277
v7n86.81 22385.76 23089.95 22690.72 30879.25 23795.07 11095.92 14284.45 18182.29 27690.86 27372.60 21497.53 19379.42 24480.52 31593.08 285
PEN-MVS86.80 22486.27 21088.40 26992.32 24875.71 29995.18 10496.38 11087.97 9682.82 27293.15 19873.39 20595.92 29676.15 27579.03 32993.59 262
cl2286.78 22585.98 22089.18 25092.34 24777.62 27490.84 28394.13 24481.33 25183.97 25090.15 28973.96 19496.60 26384.19 16782.94 27693.33 271
v124086.78 22585.85 22589.56 24090.45 31677.79 26893.61 20495.37 19081.65 24385.43 21191.15 26671.50 22397.43 20281.47 21282.05 28893.47 268
TR-MVS86.78 22585.76 23089.82 23094.37 18778.41 25092.47 24692.83 27081.11 25786.36 18492.40 22168.73 26497.48 19673.75 29589.85 20293.57 263
PatchMatch-RL86.77 22885.54 23390.47 20395.88 12282.71 14490.54 28792.31 28279.82 27084.32 24191.57 25568.77 26396.39 27773.16 29793.48 15692.32 308
PAPM86.68 22985.39 23790.53 19693.05 23179.33 23489.79 30194.77 22478.82 28281.95 28293.24 19576.81 15397.30 21666.94 33293.16 16394.95 197
pm-mvs186.61 23085.54 23389.82 23091.44 27380.18 20695.28 9794.85 21783.84 19181.66 28492.62 21672.45 21796.48 27179.67 23978.06 33092.82 294
GA-MVS86.61 23085.27 24090.66 19191.33 28278.71 24290.40 28993.81 25585.34 16285.12 22189.57 30161.25 31697.11 23380.99 21989.59 20696.15 149
Anonymous2023121186.59 23285.13 24290.98 18696.52 9981.50 17196.14 5296.16 12573.78 33083.65 25892.15 23063.26 30397.37 21482.82 18681.74 29394.06 237
DIV-MVS_self_test86.53 23385.78 22788.75 26092.02 25776.45 29090.74 28494.30 23681.83 24183.34 26690.82 27575.75 16896.57 26481.73 20881.52 29693.24 276
cl____86.52 23485.78 22788.75 26092.03 25676.46 28990.74 28494.30 23681.83 24183.34 26690.78 27775.74 17096.57 26481.74 20781.54 29593.22 278
eth_miper_zixun_eth86.50 23585.77 22988.68 26391.94 25975.81 29890.47 28894.89 21482.05 22984.05 24790.46 28375.96 16396.77 25282.76 18879.36 32693.46 269
baseline286.50 23585.39 23789.84 22991.12 28976.70 28691.88 26288.58 34882.35 22579.95 30890.95 27273.42 20497.63 18780.27 23389.95 19995.19 186
EPNet_dtu86.49 23785.94 22388.14 27890.24 31972.82 32394.11 17692.20 28586.66 13379.42 31492.36 22373.52 20095.81 30371.26 30393.66 14995.80 169
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
cascas86.43 23884.98 24590.80 18992.10 25480.92 19190.24 29295.91 14473.10 33683.57 26188.39 31665.15 29497.46 19884.90 15991.43 18194.03 239
SCA86.32 23985.18 24189.73 23692.15 25076.60 28791.12 27991.69 30083.53 19985.50 20488.81 30966.79 27996.48 27176.65 26990.35 19396.12 152
LTVRE_ROB82.13 1386.26 24084.90 24890.34 21094.44 18581.50 17192.31 25394.89 21483.03 21079.63 31292.67 21469.69 24897.79 17371.20 30486.26 24891.72 316
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 24185.48 23587.98 28191.65 27174.92 30394.93 11995.75 15787.36 11682.26 27793.04 20372.85 21095.82 30274.04 29177.46 33593.20 279
XVG-ACMP-BASELINE86.00 24284.84 25089.45 24591.20 28478.00 26091.70 26995.55 17185.05 17182.97 27092.25 22854.49 34697.48 19682.93 18287.45 23992.89 291
MVP-Stereo85.97 24384.86 24989.32 24690.92 29982.19 15692.11 25994.19 24078.76 28478.77 31791.63 25168.38 26896.56 26675.01 28693.95 14589.20 347
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
D2MVS85.90 24485.09 24388.35 27190.79 30477.42 27791.83 26495.70 16080.77 26080.08 30690.02 29266.74 28196.37 27881.88 20387.97 23391.26 325
test-LLR85.87 24585.41 23687.25 29790.95 29571.67 33489.55 30289.88 34183.41 20284.54 23087.95 32367.25 27195.11 32181.82 20493.37 15994.97 191
FMVSNet185.85 24684.11 25991.08 17792.81 23983.10 12895.14 10794.94 20881.64 24482.68 27391.64 24859.01 33296.34 28175.37 28183.78 26593.79 251
PatchmatchNetpermissive85.85 24684.70 25289.29 24791.76 26575.54 30088.49 32191.30 31081.63 24585.05 22288.70 31371.71 21996.24 28474.61 28989.05 21596.08 156
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CostFormer85.77 24884.94 24788.26 27491.16 28872.58 32989.47 30691.04 31776.26 30886.45 18289.97 29470.74 23396.86 25182.35 19387.07 24595.34 184
PMMVS85.71 24984.96 24687.95 28288.90 33577.09 28188.68 31990.06 33572.32 34286.47 17990.76 27872.15 21894.40 32781.78 20693.49 15492.36 306
PVSNet78.82 1885.55 25084.65 25388.23 27694.72 17171.93 33287.12 33492.75 27378.80 28384.95 22490.53 28264.43 29896.71 25574.74 28793.86 14796.06 158
IterMVS-SCA-FT85.45 25184.53 25688.18 27791.71 26776.87 28490.19 29592.65 27685.40 16181.44 28690.54 28166.79 27995.00 32481.04 21681.05 30292.66 297
pmmvs485.43 25283.86 26390.16 21490.02 32482.97 13590.27 29092.67 27575.93 31180.73 29491.74 24771.05 22795.73 30678.85 24883.46 27291.78 315
ACMH80.38 1785.36 25383.68 26590.39 20594.45 18480.63 19894.73 13394.85 21782.09 22877.24 32592.65 21560.01 32697.58 18972.25 30184.87 25792.96 288
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
OurMVSNet-221017-085.35 25484.64 25487.49 29190.77 30572.59 32894.01 18794.40 23284.72 17779.62 31393.17 19761.91 31196.72 25381.99 20081.16 29893.16 281
CR-MVSNet85.35 25483.76 26490.12 21790.58 31279.34 23185.24 34491.96 29578.27 29185.55 19987.87 32671.03 22895.61 30773.96 29389.36 20995.40 181
tpmrst85.35 25484.99 24486.43 31190.88 30267.88 35588.71 31891.43 30880.13 26586.08 19088.80 31173.05 20896.02 29282.48 19083.40 27495.40 181
miper_lstm_enhance85.27 25784.59 25587.31 29491.28 28374.63 30487.69 33094.09 24681.20 25681.36 28889.85 29774.97 17994.30 33081.03 21879.84 32393.01 287
IB-MVS80.51 1585.24 25883.26 27091.19 17192.13 25279.86 22091.75 26691.29 31183.28 20680.66 29688.49 31561.28 31598.46 11980.99 21979.46 32595.25 185
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 25983.99 26188.65 26492.47 24478.40 25179.68 36192.76 27274.90 32281.41 28789.59 30069.85 24795.51 31279.92 23795.29 12792.03 312
RPSCF85.07 26084.27 25787.48 29292.91 23870.62 34491.69 27092.46 27876.20 30982.67 27495.22 12163.94 30097.29 21977.51 26285.80 25194.53 215
MS-PatchMatch85.05 26184.16 25887.73 28591.42 27778.51 24791.25 27793.53 25877.50 29680.15 30391.58 25361.99 31095.51 31275.69 27894.35 14389.16 348
ACMH+81.04 1485.05 26183.46 26989.82 23094.66 17579.37 22994.44 15294.12 24582.19 22778.04 32092.82 21058.23 33497.54 19273.77 29482.90 27992.54 299
DWT-MVSNet_test84.95 26383.68 26588.77 25891.43 27673.75 31391.74 26790.98 31880.66 26183.84 25287.36 33162.44 30797.11 23378.84 24985.81 25095.46 178
IterMVS84.88 26483.98 26287.60 28791.44 27376.03 29590.18 29692.41 27983.24 20781.06 29290.42 28566.60 28294.28 33179.46 24080.98 30792.48 301
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MSDG84.86 26583.09 27290.14 21693.80 20980.05 21389.18 31193.09 26578.89 28078.19 31891.91 24265.86 29297.27 22068.47 32288.45 22393.11 283
tpm84.73 26684.02 26086.87 30890.33 31768.90 35189.06 31389.94 33880.85 25985.75 19389.86 29668.54 26695.97 29477.76 25884.05 26495.75 170
tfpnnormal84.72 26783.23 27189.20 24992.79 24080.05 21394.48 14795.81 15282.38 22381.08 29191.21 26169.01 26096.95 24561.69 35180.59 31190.58 338
CVMVSNet84.69 26884.79 25184.37 32991.84 26264.92 36393.70 20291.47 30766.19 35786.16 18995.28 11867.18 27393.33 34280.89 22190.42 19294.88 199
test-mter84.54 26983.64 26787.25 29790.95 29571.67 33489.55 30289.88 34179.17 27684.54 23087.95 32355.56 34095.11 32181.82 20493.37 15994.97 191
TransMVSNet (Re)84.43 27083.06 27388.54 26691.72 26678.44 24995.18 10492.82 27182.73 21779.67 31192.12 23273.49 20195.96 29571.10 30868.73 35691.21 327
pmmvs584.21 27182.84 27788.34 27288.95 33476.94 28392.41 24791.91 29775.63 31380.28 30191.18 26464.59 29795.57 30877.09 26783.47 27192.53 300
tpm284.08 27282.94 27487.48 29291.39 27871.27 33689.23 31090.37 32971.95 34484.64 22789.33 30367.30 27096.55 26875.17 28387.09 24494.63 207
COLMAP_ROBcopyleft80.39 1683.96 27382.04 28089.74 23495.28 14479.75 22294.25 16792.28 28375.17 31878.02 32193.77 18058.60 33397.84 17265.06 34285.92 24991.63 318
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
RPMNet83.95 27481.53 28491.21 17090.58 31279.34 23185.24 34496.76 7971.44 34685.55 19982.97 35370.87 23198.91 8961.01 35389.36 20995.40 181
SixPastTwentyTwo83.91 27582.90 27586.92 30590.99 29370.67 34393.48 20891.99 29285.54 15677.62 32492.11 23460.59 32296.87 25076.05 27677.75 33293.20 279
EPMVS83.90 27682.70 27887.51 28990.23 32072.67 32588.62 32081.96 36681.37 25085.01 22388.34 31766.31 28694.45 32675.30 28287.12 24395.43 180
TESTMET0.1,183.74 27782.85 27686.42 31289.96 32571.21 33889.55 30287.88 35077.41 29783.37 26587.31 33256.71 33793.65 33980.62 22692.85 17094.40 224
MVS_030483.46 27881.92 28188.10 27990.63 31177.49 27693.26 22093.75 25680.04 26780.44 30087.24 33447.94 36095.55 30975.79 27788.16 22891.26 325
pmmvs683.42 27981.60 28388.87 25788.01 34677.87 26594.96 11694.24 23974.67 32478.80 31691.09 26960.17 32596.49 27077.06 26875.40 34292.23 310
AllTest83.42 27981.39 28589.52 24295.01 15477.79 26893.12 22590.89 32277.41 29776.12 33393.34 18854.08 34897.51 19468.31 32484.27 26293.26 273
tpmvs83.35 28182.07 27987.20 30191.07 29171.00 34188.31 32491.70 29978.91 27980.49 29987.18 33569.30 25697.08 23668.12 32783.56 27093.51 267
USDC82.76 28281.26 28787.26 29691.17 28674.55 30589.27 30893.39 26178.26 29275.30 33892.08 23654.43 34796.63 25771.64 30285.79 25290.61 335
Patchmtry82.71 28380.93 28988.06 28090.05 32376.37 29284.74 34891.96 29572.28 34381.32 28987.87 32671.03 22895.50 31468.97 31980.15 31892.32 308
PatchT82.68 28481.27 28686.89 30790.09 32270.94 34284.06 35090.15 33274.91 32185.63 19883.57 35069.37 25294.87 32565.19 33988.50 22294.84 200
MIMVSNet82.59 28580.53 29088.76 25991.51 27278.32 25386.57 33790.13 33379.32 27380.70 29588.69 31452.98 35293.07 34666.03 33788.86 21794.90 198
test0.0.03 182.41 28681.69 28284.59 32788.23 34272.89 32290.24 29287.83 35183.41 20279.86 30989.78 29867.25 27188.99 36265.18 34083.42 27391.90 314
EG-PatchMatch MVS82.37 28780.34 29388.46 26890.27 31879.35 23092.80 23894.33 23577.14 30173.26 34890.18 28847.47 36296.72 25370.25 31087.32 24289.30 345
tpm cat181.96 28880.27 29487.01 30391.09 29071.02 34087.38 33391.53 30566.25 35680.17 30286.35 33968.22 26996.15 28869.16 31882.29 28393.86 248
our_test_381.93 28980.46 29286.33 31388.46 33973.48 31788.46 32291.11 31376.46 30376.69 32988.25 31966.89 27794.36 32868.75 32079.08 32891.14 329
ppachtmachnet_test81.84 29080.07 29887.15 30288.46 33974.43 30889.04 31492.16 28675.33 31677.75 32288.99 30666.20 28795.37 31765.12 34177.60 33391.65 317
gg-mvs-nofinetune81.77 29179.37 30488.99 25690.85 30377.73 27186.29 33879.63 37074.88 32383.19 26969.05 36460.34 32396.11 28975.46 28094.64 13693.11 283
CL-MVSNet_self_test81.74 29280.53 29085.36 32185.96 35472.45 33090.25 29193.07 26681.24 25479.85 31087.29 33370.93 23092.52 34966.95 33169.23 35291.11 331
Patchmatch-RL test81.67 29379.96 29986.81 30985.42 35871.23 33782.17 35787.50 35478.47 28877.19 32682.50 35470.81 23293.48 34082.66 18972.89 34695.71 173
ADS-MVSNet281.66 29479.71 30287.50 29091.35 28074.19 31083.33 35388.48 34972.90 33882.24 27885.77 34364.98 29593.20 34464.57 34383.74 26695.12 187
K. test v381.59 29580.15 29785.91 31889.89 32769.42 35092.57 24487.71 35285.56 15573.44 34789.71 29955.58 33995.52 31177.17 26569.76 35092.78 295
ADS-MVSNet81.56 29679.78 30086.90 30691.35 28071.82 33383.33 35389.16 34772.90 33882.24 27885.77 34364.98 29593.76 33764.57 34383.74 26695.12 187
FMVSNet581.52 29779.60 30387.27 29591.17 28677.95 26191.49 27392.26 28476.87 30276.16 33287.91 32551.67 35392.34 35067.74 32881.16 29891.52 319
dp81.47 29880.23 29585.17 32489.92 32665.49 36186.74 33590.10 33476.30 30781.10 29087.12 33662.81 30595.92 29668.13 32679.88 32194.09 235
Patchmatch-test81.37 29979.30 30587.58 28890.92 29974.16 31180.99 35987.68 35370.52 35076.63 33088.81 30971.21 22592.76 34860.01 35786.93 24695.83 167
EU-MVSNet81.32 30080.95 28882.42 33888.50 33863.67 36493.32 21391.33 30964.02 35980.57 29892.83 20961.21 31892.27 35176.34 27280.38 31791.32 323
test_040281.30 30179.17 30987.67 28693.19 22678.17 25792.98 23291.71 29875.25 31776.02 33590.31 28659.23 33096.37 27850.22 36483.63 26988.47 354
JIA-IIPM81.04 30278.98 31287.25 29788.64 33673.48 31781.75 35889.61 34573.19 33582.05 28073.71 36166.07 29095.87 29971.18 30684.60 25992.41 304
Anonymous2023120681.03 30379.77 30184.82 32687.85 34870.26 34691.42 27492.08 28873.67 33177.75 32289.25 30462.43 30893.08 34561.50 35282.00 28991.12 330
pmmvs-eth3d80.97 30478.72 31387.74 28484.99 36079.97 21890.11 29791.65 30175.36 31573.51 34686.03 34059.45 32993.96 33675.17 28372.21 34789.29 346
testgi80.94 30580.20 29683.18 33487.96 34766.29 35891.28 27590.70 32683.70 19378.12 31992.84 20851.37 35490.82 35863.34 34682.46 28292.43 303
CMPMVSbinary59.16 2180.52 30679.20 30884.48 32883.98 36167.63 35789.95 30093.84 25464.79 35866.81 35991.14 26757.93 33595.17 31976.25 27388.10 22990.65 334
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
Anonymous2024052180.44 30779.21 30784.11 33285.75 35667.89 35492.86 23693.23 26375.61 31475.59 33787.47 33050.03 35594.33 32971.14 30781.21 29790.12 340
LF4IMVS80.37 30879.07 31184.27 33186.64 35069.87 34989.39 30791.05 31676.38 30574.97 34090.00 29347.85 36194.25 33274.55 29080.82 30988.69 352
KD-MVS_self_test80.20 30979.24 30683.07 33585.64 35765.29 36291.01 28193.93 24878.71 28676.32 33186.40 33859.20 33192.93 34772.59 29969.35 35191.00 333
UnsupCasMVSNet_eth80.07 31078.27 31485.46 32085.24 35972.63 32788.45 32394.87 21682.99 21271.64 35488.07 32256.34 33891.75 35573.48 29663.36 36192.01 313
test20.0379.95 31179.08 31082.55 33785.79 35567.74 35691.09 28091.08 31481.23 25574.48 34389.96 29561.63 31290.15 35960.08 35576.38 33989.76 341
TDRefinement79.81 31277.34 31687.22 30079.24 36875.48 30193.12 22592.03 29076.45 30475.01 33991.58 25349.19 35896.44 27570.22 31269.18 35389.75 342
TinyColmap79.76 31377.69 31585.97 31591.71 26773.12 32089.55 30290.36 33075.03 31972.03 35290.19 28746.22 36396.19 28763.11 34781.03 30388.59 353
OpenMVS_ROBcopyleft74.94 1979.51 31477.03 32086.93 30487.00 34976.23 29492.33 25190.74 32568.93 35374.52 34288.23 32049.58 35796.62 25857.64 35984.29 26187.94 356
MIMVSNet179.38 31577.28 31785.69 31986.35 35173.67 31491.61 27292.75 27378.11 29572.64 35088.12 32148.16 35991.97 35460.32 35477.49 33491.43 322
YYNet179.22 31677.20 31885.28 32388.20 34572.66 32685.87 34090.05 33774.33 32762.70 36187.61 32866.09 28992.03 35266.94 33272.97 34591.15 328
MDA-MVSNet_test_wron79.21 31777.19 31985.29 32288.22 34372.77 32485.87 34090.06 33574.34 32662.62 36287.56 32966.14 28891.99 35366.90 33573.01 34491.10 332
MDA-MVSNet-bldmvs78.85 31876.31 32186.46 31089.76 32873.88 31288.79 31790.42 32779.16 27759.18 36388.33 31860.20 32494.04 33362.00 35068.96 35491.48 321
KD-MVS_2432*160078.50 31976.02 32485.93 31686.22 35274.47 30684.80 34692.33 28079.29 27476.98 32785.92 34153.81 35093.97 33467.39 32957.42 36489.36 343
miper_refine_blended78.50 31976.02 32485.93 31686.22 35274.47 30684.80 34692.33 28079.29 27476.98 32785.92 34153.81 35093.97 33467.39 32957.42 36489.36 343
PM-MVS78.11 32176.12 32384.09 33383.54 36370.08 34788.97 31585.27 35879.93 26874.73 34186.43 33734.70 36893.48 34079.43 24372.06 34888.72 351
PVSNet_073.20 2077.22 32274.83 32784.37 32990.70 30971.10 33983.09 35589.67 34472.81 34073.93 34583.13 35260.79 32093.70 33868.54 32150.84 36788.30 355
DSMNet-mixed76.94 32376.29 32278.89 34183.10 36456.11 37187.78 32879.77 36960.65 36175.64 33688.71 31261.56 31388.34 36360.07 35689.29 21192.21 311
new-patchmatchnet76.41 32475.17 32680.13 34082.65 36659.61 36687.66 33191.08 31478.23 29369.85 35583.22 35154.76 34491.63 35764.14 34564.89 35989.16 348
UnsupCasMVSNet_bld76.23 32573.27 32885.09 32583.79 36272.92 32185.65 34393.47 26071.52 34568.84 35779.08 35849.77 35693.21 34366.81 33660.52 36389.13 350
MVS-HIRNet73.70 32672.20 32978.18 34491.81 26456.42 37082.94 35682.58 36455.24 36368.88 35666.48 36555.32 34295.13 32058.12 35888.42 22483.01 359
new_pmnet72.15 32770.13 33078.20 34382.95 36565.68 35983.91 35182.40 36562.94 36064.47 36079.82 35742.85 36586.26 36557.41 36074.44 34382.65 361
pmmvs371.81 32868.71 33181.11 33975.86 36970.42 34586.74 33583.66 36258.95 36268.64 35880.89 35636.93 36789.52 36163.10 34863.59 36083.39 358
N_pmnet68.89 32968.44 33270.23 34889.07 33328.79 38088.06 32519.50 38169.47 35271.86 35384.93 34561.24 31791.75 35554.70 36177.15 33690.15 339
LCM-MVSNet66.00 33062.16 33477.51 34564.51 37558.29 36783.87 35290.90 32148.17 36654.69 36473.31 36216.83 37886.75 36465.47 33861.67 36287.48 357
FPMVS64.63 33162.55 33370.88 34770.80 37156.71 36884.42 34984.42 36051.78 36549.57 36581.61 35523.49 37281.48 36840.61 36976.25 34074.46 364
EGC-MVSNET61.97 33256.37 33678.77 34289.63 33073.50 31689.12 31282.79 3630.21 3781.24 37984.80 34639.48 36690.04 36044.13 36675.94 34172.79 365
PMMVS259.60 33356.40 33569.21 34968.83 37246.58 37573.02 36677.48 37355.07 36449.21 36672.95 36317.43 37780.04 36949.32 36544.33 36980.99 363
ANet_high58.88 33454.22 33872.86 34656.50 37856.67 36980.75 36086.00 35573.09 33737.39 37064.63 36722.17 37379.49 37043.51 36723.96 37282.43 362
Gipumacopyleft57.99 33554.91 33767.24 35088.51 33765.59 36052.21 36990.33 33143.58 36842.84 36951.18 37020.29 37585.07 36634.77 37070.45 34951.05 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft47.18 2252.22 33648.46 34063.48 35145.72 38046.20 37673.41 36578.31 37141.03 36930.06 37265.68 3666.05 37983.43 36730.04 37165.86 35760.80 366
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test_method50.52 33748.47 33956.66 35352.26 37918.98 38241.51 37181.40 36710.10 37344.59 36875.01 36028.51 37068.16 37153.54 36249.31 36882.83 360
MVEpermissive39.65 2343.39 33838.59 34457.77 35256.52 37748.77 37455.38 36858.64 37829.33 37228.96 37352.65 3694.68 38064.62 37428.11 37233.07 37059.93 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN43.23 33942.29 34146.03 35565.58 37437.41 37773.51 36464.62 37533.99 37028.47 37447.87 37119.90 37667.91 37222.23 37324.45 37132.77 370
EMVS42.07 34041.12 34244.92 35663.45 37635.56 37973.65 36363.48 37633.05 37126.88 37545.45 37221.27 37467.14 37319.80 37423.02 37332.06 371
tmp_tt35.64 34139.24 34324.84 35714.87 38123.90 38162.71 36751.51 3806.58 37536.66 37162.08 36844.37 36430.34 37752.40 36322.00 37420.27 372
cdsmvs_eth3d_5k22.14 34229.52 3450.00 3610.00 3840.00 3850.00 37295.76 1560.00 3790.00 38094.29 15575.66 1710.00 3800.00 3780.00 3780.00 376
wuyk23d21.27 34320.48 34623.63 35868.59 37336.41 37849.57 3706.85 3829.37 3747.89 3764.46 3784.03 38131.37 37617.47 37516.07 3753.12 373
testmvs8.92 34411.52 3471.12 3601.06 3820.46 38486.02 3390.65 3830.62 3762.74 3779.52 3760.31 3830.45 3792.38 3760.39 3762.46 375
test1238.76 34511.22 3481.39 3590.85 3830.97 38385.76 3420.35 3840.54 3772.45 3788.14 3770.60 3820.48 3782.16 3770.17 3772.71 374
ab-mvs-re7.82 34610.43 3490.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38093.88 1740.00 3840.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas6.64 3478.86 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37979.70 1240.00 3800.00 3780.00 3780.00 376
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
FOURS198.86 185.54 7498.29 197.49 589.79 4596.29 15
MSC_two_6792asdad96.52 197.78 5790.86 196.85 6799.61 396.03 199.06 999.07 5
PC_three_145282.47 22197.09 997.07 4592.72 198.04 15992.70 4699.02 1298.86 10
No_MVS96.52 197.78 5790.86 196.85 6799.61 396.03 199.06 999.07 5
test_one_060198.58 1285.83 6797.44 1491.05 1796.78 1398.06 691.45 11
eth-test20.00 384
eth-test0.00 384
ZD-MVS98.15 3786.62 3797.07 4883.63 19594.19 3696.91 5287.57 3499.26 4691.99 6498.44 55
RE-MVS-def93.68 5297.92 4784.57 8696.28 4296.76 7987.46 11393.75 4697.43 2082.94 8792.73 4297.80 8197.88 88
IU-MVS98.77 586.00 5696.84 6981.26 25397.26 795.50 1099.13 399.03 7
OPU-MVS96.21 398.00 4690.85 397.13 1397.08 4392.59 298.94 8792.25 5498.99 1498.84 13
test_241102_TWO97.44 1490.31 3197.62 598.07 491.46 1099.58 895.66 499.12 698.98 9
test_241102_ONE98.77 585.99 5897.44 1490.26 3597.71 197.96 1092.31 499.38 32
9.1494.47 1897.79 5496.08 5697.44 1486.13 14495.10 2697.40 2388.34 2299.22 4993.25 3698.70 36
save fliter97.85 5085.63 7295.21 10196.82 7389.44 52
test_0728_THIRD90.75 2297.04 1098.05 892.09 699.55 1595.64 699.13 399.13 2
test_0728_SECOND95.01 1798.79 286.43 4397.09 1597.49 599.61 395.62 899.08 798.99 8
test072698.78 385.93 6197.19 1097.47 1090.27 3397.64 498.13 191.47 8
GSMVS96.12 152
test_part298.55 1387.22 1896.40 14
sam_mvs171.70 22096.12 152
sam_mvs70.60 234
ambc83.06 33679.99 36763.51 36577.47 36292.86 26974.34 34484.45 34728.74 36995.06 32373.06 29868.89 35590.61 335
MTGPAbinary96.97 53
test_post188.00 3269.81 37569.31 25595.53 31076.65 269
test_post10.29 37470.57 23895.91 298
patchmatchnet-post83.76 34971.53 22296.48 271
GG-mvs-BLEND87.94 28389.73 32977.91 26287.80 32778.23 37280.58 29783.86 34859.88 32795.33 31871.20 30492.22 17790.60 337
MTMP96.16 4960.64 377
gm-plane-assit89.60 33168.00 35377.28 30088.99 30697.57 19079.44 242
test9_res91.91 6998.71 3498.07 74
TEST997.53 6586.49 4194.07 18196.78 7681.61 24692.77 7496.20 8987.71 3199.12 58
test_897.49 6886.30 5094.02 18696.76 7981.86 23992.70 7896.20 8987.63 3299.02 71
agg_prior290.54 9498.68 3998.27 56
agg_prior97.38 7185.92 6396.72 8592.16 8998.97 83
TestCases89.52 24295.01 15477.79 26890.89 32277.41 29776.12 33393.34 18854.08 34897.51 19468.31 32484.27 26293.26 273
test_prior485.96 6094.11 176
test_prior294.12 17487.67 10992.63 7996.39 8086.62 4491.50 7998.67 41
test_prior93.82 6797.29 7684.49 9096.88 6498.87 9198.11 72
旧先验293.36 21271.25 34794.37 3297.13 23286.74 137
新几何293.11 227
新几何193.10 8497.30 7584.35 9995.56 17071.09 34891.26 11096.24 8582.87 8998.86 9479.19 24698.10 6996.07 157
旧先验196.79 8781.81 16595.67 16296.81 5886.69 4397.66 8596.97 126
无先验93.28 21996.26 11673.95 32999.05 6380.56 22796.59 138
原ACMM292.94 234
原ACMM192.01 13497.34 7381.05 18696.81 7478.89 28090.45 11795.92 10082.65 9098.84 9980.68 22598.26 6396.14 150
test22296.55 9781.70 16792.22 25595.01 20568.36 35490.20 12196.14 9480.26 11797.80 8196.05 159
testdata298.75 10378.30 253
segment_acmp87.16 40
testdata90.49 20096.40 10177.89 26495.37 19072.51 34193.63 5196.69 6382.08 10197.65 18483.08 17997.39 8995.94 161
testdata192.15 25787.94 97
test1294.34 5697.13 8186.15 5396.29 11391.04 11385.08 6499.01 7398.13 6897.86 90
plane_prior794.70 17382.74 141
plane_prior694.52 17982.75 13974.23 187
plane_prior596.22 12198.12 14488.15 11789.99 19694.63 207
plane_prior494.86 133
plane_prior382.75 13990.26 3586.91 173
plane_prior295.85 6890.81 20
plane_prior194.59 177
plane_prior82.73 14295.21 10189.66 4989.88 201
n20.00 385
nn0.00 385
door-mid85.49 356
lessismore_v086.04 31488.46 33968.78 35280.59 36873.01 34990.11 29055.39 34196.43 27675.06 28565.06 35892.90 290
LGP-MVS_train91.12 17394.47 18181.49 17396.14 12686.73 13085.45 20895.16 12369.89 24598.10 14687.70 12389.23 21293.77 255
test1196.57 99
door85.33 357
HQP5-MVS81.56 169
HQP-NCC94.17 19294.39 15788.81 6985.43 211
ACMP_Plane94.17 19294.39 15788.81 6985.43 211
BP-MVS87.11 134
HQP4-MVS85.43 21197.96 16694.51 217
HQP3-MVS96.04 13589.77 203
HQP2-MVS73.83 197
NP-MVS94.37 18782.42 15193.98 167
MDTV_nov1_ep13_2view55.91 37287.62 33273.32 33484.59 22970.33 24174.65 28895.50 176
MDTV_nov1_ep1383.56 26891.69 26969.93 34887.75 32991.54 30478.60 28784.86 22588.90 30869.54 25096.03 29170.25 31088.93 216
ACMMP++_ref87.47 237
ACMMP++88.01 232
Test By Simon80.02 119
ITE_SJBPF88.24 27591.88 26177.05 28292.92 26885.54 15680.13 30593.30 19257.29 33696.20 28572.46 30084.71 25891.49 320
DeepMVS_CXcopyleft56.31 35474.23 37051.81 37356.67 37944.85 36748.54 36775.16 35927.87 37158.74 37540.92 36852.22 36658.39 368