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
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
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DVP-MVS++98.92 199.18 198.61 499.47 699.61 299.39 397.82 198.80 196.86 998.90 299.92 198.67 1899.02 298.20 1999.43 4699.82 1
MSP-MVS98.73 698.93 598.50 799.44 1399.57 499.36 497.65 998.14 1296.51 1698.49 799.65 898.67 1898.60 1498.42 1199.40 5299.63 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
SD-MVS98.52 898.77 998.23 1798.15 5199.26 2598.79 2797.59 1798.52 396.25 1797.99 1699.75 699.01 398.27 3397.97 3299.59 699.63 2
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
DVP-MVScopyleft98.86 498.97 398.75 299.43 1499.63 199.25 1397.81 298.62 297.69 197.59 2199.90 298.93 598.99 498.42 1199.37 5899.62 4
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
CSCG97.44 3397.18 4497.75 2999.47 699.52 798.55 3295.41 4297.69 2595.72 2194.29 5695.53 6498.10 3596.20 10797.38 5799.24 7899.62 4
SED-MVS98.90 299.07 298.69 399.38 2099.61 299.33 897.80 498.25 897.60 298.87 499.89 398.67 1899.02 298.26 1799.36 6099.61 6
TSAR-MVS + MP.98.49 998.78 898.15 2198.14 5299.17 3299.34 697.18 3198.44 595.72 2197.84 1799.28 1298.87 799.05 198.05 2799.66 199.60 7
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
TSAR-MVS + ACMM97.71 2998.60 1296.66 4298.64 4299.05 3698.85 2697.23 2998.45 489.40 8997.51 2599.27 1496.88 6298.53 1597.81 4198.96 12199.59 8
APDe-MVS98.87 398.96 498.77 199.58 299.53 699.44 197.81 298.22 1097.33 498.70 599.33 1098.86 898.96 698.40 1399.63 399.57 9
DROMVSNet96.49 4997.63 3495.16 6594.75 10998.69 7297.39 5788.97 11996.34 5992.02 5296.04 3896.46 5298.21 2898.41 2497.96 3399.61 599.55 10
SteuartSystems-ACMMP98.38 1598.71 1097.99 2599.34 2299.46 899.34 697.33 2697.31 3694.25 3298.06 1499.17 1998.13 3298.98 598.46 999.55 1799.54 11
Skip Steuart: Steuart Systems R&D Blog.
CS-MVS96.14 5597.39 3994.68 8194.63 11598.89 5996.46 8490.44 9996.88 4888.52 9793.58 6096.27 5898.41 2798.43 2298.14 2399.63 399.52 12
canonicalmvs95.25 6795.45 7195.00 6995.27 9598.72 7096.89 6689.82 10796.51 5690.84 6493.72 5986.01 11897.66 4395.78 11997.94 3599.54 1899.50 13
DPE-MVScopyleft98.75 598.91 698.57 599.21 2599.54 599.42 297.78 697.49 3296.84 1098.94 199.82 598.59 2298.90 1098.22 1899.56 1599.48 14
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
CS-MVS-test96.19 5497.34 4094.85 7594.52 11798.20 9097.39 5788.97 11996.83 5090.45 6995.29 4795.41 6598.21 2898.41 2497.73 4399.56 1599.47 15
EPP-MVSNet95.27 6696.18 6194.20 8994.88 10498.64 7794.97 11590.70 9595.34 8889.67 8591.66 8193.84 7095.42 8997.32 6497.00 6699.58 1099.47 15
PVSNet_Blended_VisFu94.77 7595.54 6993.87 9396.48 7298.97 4994.33 12891.84 8094.93 10190.37 7385.04 13494.99 6690.87 15698.12 4397.30 6099.30 6999.45 17
SMA-MVScopyleft98.66 798.89 798.39 1099.60 199.41 1099.00 2197.63 1397.78 1895.83 2098.33 1199.83 498.85 1098.93 898.56 699.41 4999.40 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
MVS_030496.31 5196.91 5095.62 5697.21 6599.20 3098.55 3293.10 6297.04 4589.73 8390.30 9696.35 5495.71 8098.14 4197.93 3799.38 5599.40 18
MSLP-MVS++98.04 2497.93 3398.18 1899.10 2999.09 3598.34 3796.99 3497.54 3196.60 1494.82 5298.45 3698.89 697.46 6198.77 499.17 9399.37 20
DeepC-MVS94.87 496.76 4896.50 5597.05 3798.21 5099.28 2398.67 2897.38 2297.31 3690.36 7489.19 10493.58 7298.19 3198.31 2898.50 799.51 2499.36 21
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CANet96.84 4597.20 4296.42 4397.92 5599.24 2998.60 3093.51 5497.11 4293.07 3991.16 8697.24 4696.21 7498.24 3698.05 2799.22 8499.35 22
3Dnovator+93.91 797.23 3697.22 4197.24 3498.89 3798.85 6298.26 4093.25 5997.99 1595.56 2490.01 10098.03 4298.05 3697.91 4998.43 1099.44 4399.35 22
DCV-MVSNet94.76 7695.12 7894.35 8795.10 10195.81 15696.46 8489.49 11396.33 6090.16 7592.55 7090.26 9095.83 7995.52 12596.03 9199.06 11199.33 24
TSAR-MVS + GP.97.45 3298.36 1996.39 4495.56 8798.93 5397.74 5093.31 5697.61 2994.24 3398.44 999.19 1798.03 3797.60 5797.41 5599.44 4399.33 24
UGNet94.92 6896.63 5392.93 10796.03 8198.63 7994.53 12591.52 8696.23 6390.03 7892.87 6796.10 6186.28 18896.68 8596.60 7699.16 9699.32 26
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
MCST-MVS98.20 1998.36 1998.01 2499.40 1699.05 3699.00 2197.62 1497.59 3093.70 3697.42 2899.30 1198.77 1498.39 2797.48 5299.59 699.31 27
FC-MVSNet-train93.85 9693.91 9893.78 9594.94 10396.79 12594.29 12991.13 9093.84 11988.26 10190.40 9585.23 12594.65 10296.54 9195.31 11299.38 5599.28 28
X-MVS97.84 2598.19 2897.42 3299.40 1699.35 1699.06 1897.25 2797.38 3590.85 6196.06 3798.72 3098.53 2598.41 2498.15 2299.46 3199.28 28
EPNet96.27 5396.97 4795.46 6098.47 4598.28 8697.41 5593.67 5295.86 7792.86 4497.51 2593.79 7191.76 14197.03 7497.03 6598.61 15499.28 28
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CP-MVS98.32 1898.34 2298.29 1499.34 2299.30 2199.15 1597.35 2397.49 3295.58 2397.72 1998.62 3498.82 1298.29 2997.67 4599.51 2499.28 28
DELS-MVS96.06 5696.04 6296.07 5197.77 5799.25 2798.10 4393.26 5794.42 10992.79 4588.52 11193.48 7395.06 9498.51 1698.83 199.45 3599.28 28
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
HFP-MVS98.48 1098.62 1198.32 1399.39 1999.33 2099.27 1197.42 2098.27 795.25 2598.34 1098.83 2799.08 198.26 3498.08 2699.48 2799.26 33
HPM-MVS++copyleft98.34 1798.47 1598.18 1899.46 999.15 3399.10 1797.69 897.67 2694.93 2897.62 2099.70 798.60 2198.45 1997.46 5399.31 6799.26 33
3Dnovator93.79 897.08 3897.20 4296.95 3999.09 3099.03 4398.20 4193.33 5597.99 1593.82 3590.61 9496.80 5097.82 3997.90 5098.78 399.47 3099.26 33
Anonymous2023121193.49 10592.33 13294.84 7694.78 10898.00 9796.11 9291.85 7994.86 10290.91 6074.69 17889.18 9996.73 6594.82 14095.51 10798.67 14899.24 36
MP-MVScopyleft98.09 2398.30 2597.84 2899.34 2299.19 3199.23 1497.40 2197.09 4393.03 4297.58 2398.85 2698.57 2498.44 2197.69 4499.48 2799.23 37
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
IS_MVSNet95.28 6596.43 5793.94 9195.30 9399.01 4795.90 9991.12 9194.13 11487.50 10691.23 8594.45 6994.17 10998.45 1998.50 799.65 299.23 37
ACMMPR98.40 1398.49 1398.28 1599.41 1599.40 1199.36 497.35 2398.30 695.02 2797.79 1898.39 3899.04 298.26 3498.10 2499.50 2699.22 39
APD-MVScopyleft98.36 1698.32 2398.41 999.47 699.26 2599.12 1697.77 796.73 5296.12 1897.27 2998.88 2598.46 2698.47 1898.39 1499.52 1999.22 39
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
UniMVSNet (Re)90.03 14989.61 15790.51 13389.97 17396.12 14392.32 15989.26 11590.99 15980.95 13678.25 16775.08 17591.14 14893.78 15593.87 15399.41 4999.21 41
DeepPCF-MVS95.28 297.00 4198.35 2195.42 6197.30 6398.94 5194.82 11996.03 4098.24 992.11 5195.80 4198.64 3395.51 8798.95 798.66 596.78 19199.20 42
xxxxxxxxxxxxxcwj97.07 3995.99 6398.33 1199.45 1099.05 3698.27 3897.65 997.73 1997.02 798.18 1281.99 14698.11 3398.15 3997.62 4699.45 3599.19 43
SF-MVS98.39 1498.45 1798.33 1199.45 1099.05 3698.27 3897.65 997.73 1997.02 798.18 1299.25 1598.11 3398.15 3997.62 4699.45 3599.19 43
ACMMP_NAP98.20 1998.49 1397.85 2799.50 499.40 1199.26 1297.64 1297.47 3492.62 4897.59 2199.09 2298.71 1698.82 1297.86 3999.40 5299.19 43
train_agg97.65 3098.06 3097.18 3598.94 3498.91 5698.98 2597.07 3396.71 5390.66 6697.43 2799.08 2498.20 3097.96 4897.14 6399.22 8499.19 43
ETV-MVS96.31 5197.47 3894.96 7194.79 10698.78 6596.08 9391.41 8896.16 6590.50 6895.76 4296.20 5997.39 4798.42 2397.82 4099.57 1399.18 47
QAPM96.78 4797.14 4596.36 4599.05 3199.14 3498.02 4493.26 5797.27 3890.84 6491.16 8697.31 4597.64 4497.70 5598.20 1999.33 6299.18 47
zzz-MVS98.43 1298.31 2498.57 599.48 599.40 1199.32 997.62 1497.70 2396.67 1296.59 3399.09 2298.86 898.65 1397.56 5099.45 3599.17 49
anonymousdsp88.90 16391.00 14786.44 18988.74 19995.97 14790.40 18882.86 18288.77 17767.33 20181.18 15581.44 14990.22 16796.23 10494.27 14499.12 10299.16 50
EIA-MVS95.50 5896.19 6094.69 8094.83 10598.88 6195.93 9891.50 8794.47 10889.43 8793.14 6392.72 7797.05 5897.82 5497.13 6499.43 4699.15 51
Anonymous20240521192.18 13395.04 10298.20 9096.14 9191.79 8293.93 11574.60 17988.38 10796.48 7095.17 13595.82 10199.00 11799.15 51
ACMMPcopyleft97.37 3497.48 3797.25 3398.88 3899.28 2398.47 3596.86 3697.04 4592.15 5097.57 2496.05 6297.67 4297.27 6595.99 9399.46 3199.14 53
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
CHOSEN 1792x268892.66 11492.49 12492.85 10897.13 6698.89 5995.90 9988.50 12695.32 8983.31 12371.99 19788.96 10294.10 11196.69 8496.49 7798.15 17199.10 54
DeepC-MVS_fast96.13 198.13 2198.27 2697.97 2699.16 2899.03 4399.05 1997.24 2898.22 1094.17 3495.82 4098.07 4098.69 1798.83 1198.80 299.52 1999.10 54
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PGM-MVS97.81 2698.11 2997.46 3199.55 399.34 1999.32 994.51 4796.21 6493.07 3998.05 1597.95 4398.82 1298.22 3797.89 3899.48 2799.09 56
CNVR-MVS98.47 1198.46 1698.48 899.40 1699.05 3699.02 2097.54 1897.73 1996.65 1397.20 3099.13 2098.85 1098.91 998.10 2499.41 4999.08 57
PVSNet_BlendedMVS95.41 6395.28 7395.57 5797.42 6199.02 4595.89 10193.10 6296.16 6593.12 3791.99 7485.27 12394.66 10098.09 4597.34 5899.24 7899.08 57
PVSNet_Blended95.41 6395.28 7395.57 5797.42 6199.02 4595.89 10193.10 6296.16 6593.12 3791.99 7485.27 12394.66 10098.09 4597.34 5899.24 7899.08 57
IB-MVS89.56 1591.71 12392.50 12390.79 13095.94 8398.44 8387.05 20091.38 8993.15 12792.98 4384.78 13585.14 12678.27 20792.47 17894.44 14199.10 10499.08 57
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
GeoE92.52 11692.64 11992.39 11193.96 12897.76 10196.01 9785.60 15893.23 12683.94 11981.56 15284.80 12995.63 8396.22 10595.83 10099.19 9199.07 61
test_part191.21 13089.47 15893.24 10594.26 12395.45 16895.26 11088.36 12788.49 18090.04 7772.61 19482.82 14193.69 12093.25 16694.62 13197.84 17999.06 62
ACMP92.88 994.43 8394.38 8894.50 8496.01 8297.69 10295.85 10492.09 7695.74 8089.12 9495.14 4982.62 14494.77 9695.73 12194.67 12899.14 9999.06 62
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
CLD-MVS94.79 7394.36 8995.30 6395.21 9797.46 10797.23 5992.24 7596.43 5791.77 5492.69 6884.31 13196.06 7595.52 12595.03 11999.31 6799.06 62
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
UniMVSNet_NR-MVSNet90.35 14289.96 15490.80 12989.66 17695.83 15592.48 15590.53 9890.96 16079.57 14079.33 16477.14 16693.21 12892.91 17294.50 14099.37 5899.05 65
DU-MVS89.67 15288.84 16390.63 13289.26 18695.61 16192.48 15589.91 10491.22 15679.57 14077.72 16871.18 19293.21 12892.53 17694.57 13499.35 6199.05 65
CPTT-MVS97.78 2797.54 3598.05 2398.91 3699.05 3699.00 2196.96 3597.14 4195.92 1995.50 4498.78 2998.99 497.20 6796.07 8898.54 15899.04 67
tfpnnormal88.50 16687.01 18890.23 13591.36 15695.78 15892.74 15090.09 10283.65 20676.33 15871.46 20069.58 20191.84 13995.54 12494.02 14999.06 11199.03 68
LGP-MVS_train94.12 9094.62 8393.53 9896.44 7397.54 10497.40 5691.84 8094.66 10481.09 13595.70 4383.36 13995.10 9396.36 10095.71 10299.32 6499.03 68
PHI-MVS97.78 2798.44 1897.02 3898.73 3999.25 2798.11 4295.54 4196.66 5592.79 4598.52 699.38 997.50 4697.84 5198.39 1499.45 3599.03 68
MVS_111021_HR97.04 4098.20 2795.69 5598.44 4799.29 2296.59 7993.20 6097.70 2389.94 8198.46 896.89 4896.71 6698.11 4497.95 3499.27 7399.01 71
HQP-MVS94.43 8394.57 8494.27 8896.41 7497.23 11396.89 6693.98 4995.94 7483.68 12195.01 5184.46 13095.58 8595.47 12794.85 12799.07 10899.00 72
NR-MVSNet89.34 15588.66 16490.13 14090.40 16595.61 16193.04 14789.91 10491.22 15678.96 14377.72 16868.90 20489.16 17494.24 15293.95 15099.32 6498.99 73
MAR-MVS95.50 5895.60 6795.39 6298.67 4198.18 9395.89 10189.81 10894.55 10791.97 5392.99 6490.21 9197.30 4996.79 8097.49 5198.72 14498.99 73
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
Effi-MVS+92.93 11193.86 10091.86 11494.07 12798.09 9695.59 10685.98 15394.27 11279.54 14291.12 8981.81 14796.71 6696.67 8696.06 8999.27 7398.98 75
CP-MVSNet87.89 17787.27 18388.62 15489.30 18495.06 17990.60 18685.78 15587.43 19175.98 16074.60 17968.14 20790.76 15793.07 17093.60 15899.30 6998.98 75
NCCC98.10 2298.05 3198.17 2099.38 2099.05 3699.00 2197.53 1998.04 1495.12 2694.80 5399.18 1898.58 2398.49 1797.78 4299.39 5498.98 75
ACMH90.77 1391.51 12891.63 14191.38 12195.62 8696.87 12091.76 17389.66 11091.58 15378.67 14486.73 11978.12 16093.77 11794.59 14294.54 13798.78 14198.98 75
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
baseline94.83 7095.82 6593.68 9694.75 10997.80 10096.51 8288.53 12597.02 4789.34 9192.93 6592.18 7994.69 9995.78 11996.08 8798.27 16998.97 79
HyFIR lowres test92.03 11891.55 14292.58 10997.13 6698.72 7094.65 12386.54 14693.58 12382.56 12667.75 20890.47 8995.67 8195.87 11595.54 10698.91 12698.93 80
UniMVSNet_ETH3D88.47 16786.00 19791.35 12291.55 15496.29 13992.53 15488.81 12185.58 20182.33 12767.63 20966.87 21094.04 11291.49 19195.24 11498.84 13298.92 81
CDPH-MVS96.84 4597.49 3696.09 4998.92 3598.85 6298.61 2995.09 4396.00 7287.29 10795.45 4697.42 4497.16 5397.83 5297.94 3599.44 4398.92 81
TranMVSNet+NR-MVSNet89.23 15888.48 16790.11 14189.07 19295.25 17692.91 14890.43 10090.31 16677.10 15276.62 17171.57 19091.83 14092.12 18294.59 13399.32 6498.92 81
PS-CasMVS87.33 18486.68 19388.10 16189.22 19194.93 18490.35 18985.70 15686.44 19674.01 17573.43 18966.59 21390.04 16892.92 17193.52 15999.28 7198.91 84
Vis-MVSNetpermissive92.77 11295.00 8190.16 13794.10 12698.79 6494.76 12188.26 12892.37 14379.95 13888.19 11391.58 8184.38 19997.59 5897.58 4999.52 1998.91 84
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Baseline_NR-MVSNet89.27 15788.01 17390.73 13189.26 18693.71 20292.71 15289.78 10990.73 16181.28 13473.53 18872.85 18492.30 13592.53 17693.84 15599.07 10898.88 86
OpenMVScopyleft92.33 1195.50 5895.22 7595.82 5498.98 3298.97 4997.67 5293.04 6594.64 10589.18 9384.44 13994.79 6796.79 6397.23 6697.61 4899.24 7898.88 86
tttt051794.52 8195.44 7293.44 10194.51 11898.68 7394.61 12490.72 9395.61 8586.84 11193.78 5889.26 9894.74 9797.02 7594.86 12499.20 9098.87 88
LTVRE_ROB87.32 1687.55 18088.25 16986.73 18690.66 16295.80 15793.05 14684.77 16983.35 20760.32 21583.12 14667.39 20893.32 12594.36 14994.86 12498.28 16898.87 88
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
thisisatest053094.54 8095.47 7093.46 10094.51 11898.65 7694.66 12290.72 9395.69 8386.90 11093.80 5789.44 9594.74 9796.98 7694.86 12499.19 9198.85 90
MVS_111021_LR97.16 3798.01 3296.16 4898.47 4598.98 4896.94 6593.89 5097.64 2891.44 5598.89 396.41 5397.20 5298.02 4797.29 6299.04 11698.85 90
WR-MVS_H87.93 17487.85 17788.03 16789.62 17795.58 16590.47 18785.55 15987.20 19276.83 15474.42 18272.67 18686.37 18793.22 16793.04 16799.33 6298.83 92
WR-MVS87.93 17488.09 17187.75 17289.26 18695.28 17390.81 18486.69 14488.90 17475.29 16674.31 18373.72 18185.19 19592.26 17993.32 16399.27 7398.81 93
diffmvs94.31 8894.21 9194.42 8694.64 11498.28 8696.36 8791.56 8496.77 5188.89 9688.97 10584.23 13296.01 7896.05 11196.41 7999.05 11598.79 94
DI_MVS_plusplus_trai94.01 9293.63 10594.44 8594.54 11698.26 8897.51 5490.63 9695.88 7689.34 9180.54 16089.36 9695.48 8896.33 10196.27 8399.17 9398.78 95
v7n86.43 19086.52 19486.33 19087.91 20394.93 18490.15 19083.05 18086.57 19470.21 19171.48 19966.78 21187.72 17994.19 15492.96 16998.92 12598.76 96
Effi-MVS+-dtu91.78 12293.59 10789.68 14592.44 14997.11 11594.40 12784.94 16892.43 13975.48 16391.09 9083.75 13693.55 12296.61 8795.47 10897.24 18798.67 97
casdiffmvs94.38 8694.15 9694.64 8394.70 11398.51 8296.03 9691.66 8395.70 8189.36 9086.48 12385.03 12896.60 6997.40 6297.30 6099.52 1998.67 97
thres600view793.49 10592.37 13194.79 7895.42 8898.93 5396.58 8092.31 7193.04 12887.88 10386.62 12176.94 16897.09 5796.82 7795.63 10399.45 3598.63 99
abl_696.82 4198.60 4398.74 6797.74 5093.73 5196.25 6294.37 3194.55 5598.60 3597.25 5099.27 7398.61 100
IterMVS-LS92.56 11593.18 11291.84 11593.90 12994.97 18294.99 11486.20 15094.18 11382.68 12585.81 13087.36 11194.43 10495.31 13196.02 9298.87 12998.60 101
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
tfpn200view993.64 10092.57 12094.89 7295.33 9198.94 5196.82 6992.31 7192.63 13488.29 9887.21 11578.01 16297.12 5696.82 7795.85 9899.45 3598.56 102
thres40093.56 10392.43 12894.87 7495.40 8998.91 5696.70 7692.38 7092.93 13088.19 10286.69 12077.35 16597.13 5496.75 8295.85 9899.42 4898.56 102
MVS_Test94.82 7195.66 6693.84 9494.79 10698.35 8596.49 8389.10 11896.12 6887.09 10992.58 6990.61 8896.48 7096.51 9596.89 7099.11 10398.54 104
Vis-MVSNet (Re-imp)94.46 8296.24 5992.40 11095.23 9698.64 7795.56 10790.99 9294.42 10985.02 11690.88 9294.65 6888.01 17898.17 3898.37 1699.57 1398.53 105
Fast-Effi-MVS+91.87 12092.08 13591.62 12092.91 14397.21 11494.93 11684.60 17293.61 12281.49 13383.50 14478.95 15796.62 6896.55 9096.22 8599.16 9698.51 106
MVSTER94.89 6995.07 7994.68 8194.71 11196.68 12897.00 6190.57 9795.18 9793.05 4195.21 4886.41 11593.72 11897.59 5895.88 9799.00 11798.50 107
thres20093.62 10192.54 12194.88 7395.36 9098.93 5396.75 7492.31 7192.84 13188.28 10086.99 11777.81 16497.13 5496.82 7795.92 9499.45 3598.49 108
v192192087.31 18587.13 18687.52 17988.87 19694.72 18891.96 17184.59 17388.28 18269.86 19572.50 19570.03 20091.10 14993.33 16492.61 17898.71 14598.44 109
thisisatest051590.12 14792.06 13687.85 17190.03 17196.17 14287.83 19787.45 13691.71 15277.15 15185.40 13284.01 13485.74 19195.41 12993.30 16498.88 12898.43 110
v14419287.40 18387.20 18587.64 17488.89 19494.88 18691.65 17484.70 17187.80 18671.17 18773.20 19170.91 19390.75 15892.69 17492.49 17998.71 14598.43 110
v119287.51 18187.31 18287.74 17389.04 19394.87 18792.07 16685.03 16688.49 18070.32 18972.65 19370.35 19791.21 14793.59 15792.80 17398.78 14198.42 112
v1088.00 17287.96 17488.05 16589.44 18194.68 18992.36 15883.35 17989.37 17272.96 17873.98 18572.79 18591.35 14693.59 15792.88 17198.81 13698.42 112
thres100view90093.55 10492.47 12794.81 7795.33 9198.74 6796.78 7392.30 7492.63 13488.29 9887.21 11578.01 16296.78 6496.38 9795.92 9499.38 5598.40 114
AdaColmapbinary97.53 3196.93 4898.24 1699.21 2598.77 6698.47 3597.34 2596.68 5496.52 1595.11 5096.12 6098.72 1597.19 6996.24 8499.17 9398.39 115
PCF-MVS93.95 695.65 5795.14 7696.25 4697.73 5998.73 6997.59 5397.13 3292.50 13889.09 9589.85 10196.65 5196.90 6194.97 13994.89 12399.08 10698.38 116
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Fast-Effi-MVS+-dtu91.19 13193.64 10488.33 15892.19 15196.46 13493.99 13281.52 18992.59 13671.82 18292.17 7385.54 12191.68 14295.73 12194.64 13098.80 13898.34 117
v114487.92 17687.79 17888.07 16289.27 18595.15 17892.17 16485.62 15788.52 17971.52 18373.80 18672.40 18791.06 15093.54 16192.80 17398.81 13698.33 118
V4288.31 16987.95 17588.73 15389.44 18195.34 17292.23 16387.21 13988.83 17574.49 17374.89 17773.43 18390.41 16692.08 18592.77 17598.60 15698.33 118
CDS-MVSNet92.77 11293.60 10691.80 11692.63 14796.80 12295.24 11189.14 11790.30 16784.58 11786.76 11890.65 8790.42 16495.89 11496.49 7798.79 14098.32 120
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
PEN-MVS87.22 18686.50 19588.07 16288.88 19594.44 19490.99 18386.21 14886.53 19573.66 17674.97 17666.56 21489.42 17391.20 19393.48 16099.24 7898.31 121
v124086.89 18786.75 19287.06 18488.75 19894.65 19191.30 18084.05 17587.49 19068.94 19971.96 19868.86 20590.65 16193.33 16492.72 17798.67 14898.24 122
v888.21 17187.94 17688.51 15589.62 17795.01 18192.31 16084.99 16788.94 17374.70 17275.03 17573.51 18290.67 16092.11 18392.74 17698.80 13898.24 122
baseline293.01 11094.17 9491.64 11892.83 14597.49 10693.40 14087.53 13593.67 12186.07 11291.83 7986.58 11291.36 14596.38 9795.06 11898.67 14898.20 124
ET-MVSNet_ETH3D93.34 10794.33 9092.18 11383.26 21497.66 10396.72 7589.89 10695.62 8487.17 10896.00 3983.69 13796.99 5993.78 15595.34 11199.06 11198.18 125
CNLPA96.90 4396.28 5897.64 3098.56 4498.63 7996.85 6896.60 3897.73 1997.08 689.78 10296.28 5797.80 4196.73 8396.63 7598.94 12398.14 126
test111193.94 9492.78 11795.29 6496.14 7999.42 996.79 7292.85 6695.08 9991.39 5780.69 15879.86 15495.00 9598.28 3298.00 2999.58 1098.11 127
test250694.32 8793.00 11595.87 5296.16 7799.39 1496.96 6392.80 6795.22 9594.47 2991.55 8370.45 19595.25 9198.29 2997.98 3099.59 698.10 128
ECVR-MVScopyleft94.14 8992.96 11695.52 5996.16 7799.39 1496.96 6392.80 6795.22 9592.38 4981.48 15380.31 15195.25 9198.29 2997.98 3099.59 698.05 129
PLCcopyleft94.95 397.37 3496.77 5298.07 2298.97 3398.21 8997.94 4796.85 3797.66 2797.58 393.33 6196.84 4998.01 3897.13 7196.20 8699.09 10598.01 130
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v2v48288.25 17087.71 18088.88 15189.23 19095.28 17392.10 16587.89 13388.69 17873.31 17775.32 17471.64 18991.89 13892.10 18492.92 17098.86 13197.99 131
ACMH+90.88 1291.41 12991.13 14591.74 11795.11 10096.95 11793.13 14589.48 11492.42 14079.93 13985.13 13378.02 16193.82 11693.49 16293.88 15298.94 12397.99 131
v14887.51 18186.79 19088.36 15789.39 18395.21 17789.84 19188.20 13087.61 18977.56 14873.38 19070.32 19886.80 18490.70 19592.31 18298.37 16797.98 133
TAPA-MVS94.18 596.38 5096.49 5696.25 4698.26 4998.66 7498.00 4594.96 4597.17 4089.48 8692.91 6696.35 5497.53 4596.59 8895.90 9699.28 7197.82 134
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CANet_DTU93.92 9596.57 5490.83 12895.63 8598.39 8496.99 6287.38 13796.26 6171.97 18196.31 3593.02 7494.53 10397.38 6396.83 7298.49 16197.79 135
GBi-Net93.81 9794.18 9293.38 10291.34 15795.86 15296.22 8888.68 12295.23 9290.40 7086.39 12491.16 8294.40 10696.52 9296.30 8099.21 8797.79 135
test193.81 9794.18 9293.38 10291.34 15795.86 15296.22 8888.68 12295.23 9290.40 7086.39 12491.16 8294.40 10696.52 9296.30 8099.21 8797.79 135
FMVSNet393.79 9994.17 9493.35 10491.21 16095.99 14596.62 7788.68 12295.23 9290.40 7086.39 12491.16 8294.11 11095.96 11296.67 7499.07 10897.79 135
FMVSNet293.30 10893.36 11193.22 10691.34 15795.86 15296.22 8888.24 12995.15 9889.92 8281.64 15189.36 9694.40 10696.77 8196.98 6799.21 8797.79 135
pm-mvs189.19 15989.02 16289.38 14890.40 16595.74 15992.05 16788.10 13186.13 19777.70 14773.72 18779.44 15688.97 17595.81 11894.51 13999.08 10697.78 140
FMVSNet191.54 12790.93 14892.26 11290.35 16795.27 17595.22 11287.16 14091.37 15587.62 10575.45 17383.84 13594.43 10496.52 9296.30 8098.82 13397.74 141
LS3D95.46 6195.14 7695.84 5397.91 5698.90 5898.58 3197.79 597.07 4483.65 12288.71 10788.64 10497.82 3997.49 6097.42 5499.26 7797.72 142
OMC-MVS97.00 4196.92 4997.09 3698.69 4098.66 7497.85 4895.02 4498.09 1394.47 2993.15 6296.90 4797.38 4897.16 7096.82 7399.13 10097.65 143
IterMVS-SCA-FT90.24 14392.48 12687.63 17592.85 14494.30 19893.79 13481.47 19092.66 13369.95 19384.66 13788.38 10789.99 16995.39 13094.34 14297.74 18497.63 144
DTE-MVSNet86.67 18986.09 19687.35 18188.45 20194.08 20090.65 18586.05 15286.13 19772.19 18074.58 18166.77 21287.61 18190.31 19693.12 16699.13 10097.62 145
DPM-MVS96.86 4496.82 5196.91 4098.08 5398.20 9098.52 3497.20 3097.24 3991.42 5691.84 7898.45 3697.25 5097.07 7297.40 5698.95 12297.55 146
CHOSEN 280x42095.46 6197.01 4693.66 9797.28 6497.98 9896.40 8685.39 16196.10 6991.07 5996.53 3496.34 5695.61 8497.65 5696.95 6896.21 19297.49 147
IterMVS90.20 14492.43 12887.61 17692.82 14694.31 19794.11 13081.54 18892.97 12969.90 19484.71 13688.16 11089.96 17095.25 13294.17 14597.31 18697.46 148
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
FC-MVSNet-test91.63 12493.82 10289.08 15092.02 15296.40 13793.26 14387.26 13893.72 12077.26 15088.61 11089.86 9385.50 19295.72 12395.02 12099.16 9697.44 149
gg-mvs-nofinetune86.17 19288.57 16683.36 20093.44 13698.15 9496.58 8072.05 21474.12 21849.23 22264.81 21290.85 8689.90 17197.83 5296.84 7198.97 12097.41 150
test-mter90.95 13393.54 11087.93 17090.28 16896.80 12291.44 17582.68 18492.15 14874.37 17489.57 10388.23 10990.88 15596.37 9994.31 14397.93 17897.37 151
ACMM92.75 1094.41 8593.84 10195.09 6796.41 7496.80 12294.88 11893.54 5396.41 5890.16 7592.31 7283.11 14096.32 7296.22 10594.65 12999.22 8497.35 152
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
GA-MVS89.28 15690.75 15187.57 17791.77 15396.48 13392.29 16187.58 13490.61 16465.77 20384.48 13876.84 16989.46 17295.84 11693.68 15798.52 15997.34 153
pmmvs685.98 19484.89 20287.25 18288.83 19794.35 19689.36 19385.30 16478.51 21575.44 16462.71 21475.41 17287.65 18093.58 15992.40 18196.89 18997.29 154
OPM-MVS93.61 10292.43 12895.00 6996.94 6897.34 11097.78 4994.23 4889.64 17085.53 11488.70 10882.81 14296.28 7396.28 10395.00 12299.24 7897.22 155
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
SixPastTwentyTwo88.37 16889.47 15887.08 18390.01 17295.93 15187.41 19885.32 16290.26 16870.26 19086.34 12771.95 18890.93 15292.89 17391.72 18798.55 15797.22 155
pmmvs587.83 17888.09 17187.51 18089.59 17995.48 16689.75 19284.73 17086.07 19971.44 18480.57 15970.09 19990.74 15994.47 14592.87 17298.82 13397.10 157
CVMVSNet89.77 15191.66 14087.56 17893.21 14195.45 16891.94 17289.22 11689.62 17169.34 19883.99 14285.90 11984.81 19794.30 15095.28 11396.85 19097.09 158
PMMVS94.61 7895.56 6893.50 9994.30 12296.74 12694.91 11789.56 11295.58 8687.72 10496.15 3692.86 7596.06 7595.47 12795.02 12098.43 16697.09 158
CR-MVSNet90.16 14691.96 13888.06 16493.32 13895.95 14993.36 14175.99 20692.40 14175.19 16783.18 14585.37 12292.05 13695.21 13394.56 13598.47 16397.08 160
PatchT89.13 16091.71 13986.11 19292.92 14295.59 16383.64 20875.09 20991.87 15075.19 16782.63 14885.06 12792.05 13695.21 13394.56 13597.76 18197.08 160
baseline194.59 7994.47 8694.72 7995.16 9897.97 9996.07 9491.94 7894.86 10289.98 7991.60 8285.87 12095.64 8297.07 7296.90 6999.52 1997.06 162
UA-Net93.96 9395.95 6491.64 11896.06 8098.59 8195.29 10990.00 10391.06 15882.87 12490.64 9398.06 4186.06 18998.14 4198.20 1999.58 1096.96 163
tpm87.95 17389.44 16086.21 19192.53 14894.62 19291.40 17676.36 20391.46 15469.80 19687.43 11475.14 17391.55 14389.85 20190.60 19195.61 19996.96 163
RPMNet90.19 14592.03 13788.05 16593.46 13595.95 14993.41 13974.59 21192.40 14175.91 16184.22 14086.41 11592.49 13294.42 14793.85 15498.44 16496.96 163
test-LLR91.62 12593.56 10889.35 14993.31 13996.57 13192.02 16987.06 14192.34 14475.05 17090.20 9788.64 10490.93 15296.19 10894.07 14797.75 18296.90 166
TESTMET0.1,191.07 13293.56 10888.17 16090.43 16496.57 13192.02 16982.83 18392.34 14475.05 17090.20 9788.64 10490.93 15296.19 10894.07 14797.75 18296.90 166
pmmvs490.55 13989.91 15591.30 12390.26 16994.95 18392.73 15187.94 13293.44 12585.35 11582.28 15076.09 17093.02 13093.56 16092.26 18498.51 16096.77 168
TSAR-MVS + COLMAP94.79 7394.51 8595.11 6696.50 7197.54 10497.99 4694.54 4697.81 1785.88 11396.73 3281.28 15096.99 5996.29 10295.21 11698.76 14396.73 169
PatchMatch-RL94.69 7794.41 8795.02 6897.63 6098.15 9494.50 12691.99 7795.32 8991.31 5895.47 4583.44 13896.02 7796.56 8995.23 11598.69 14796.67 170
PM-MVS84.72 19984.47 20385.03 19584.67 21091.57 20986.27 20282.31 18687.65 18870.62 18876.54 17256.41 22188.75 17792.59 17589.85 19697.54 18596.66 171
test0.0.03 191.97 11993.91 9889.72 14293.31 13996.40 13791.34 17887.06 14193.86 11781.67 13191.15 8889.16 10086.02 19095.08 13695.09 11798.91 12696.64 172
testgi89.42 15391.50 14387.00 18592.40 15095.59 16389.15 19485.27 16592.78 13272.42 17991.75 8076.00 17184.09 20194.38 14893.82 15698.65 15296.15 173
CostFormer90.69 13690.48 15390.93 12694.18 12496.08 14494.03 13178.20 19693.47 12489.96 8090.97 9180.30 15293.72 11887.66 20788.75 19995.51 20196.12 174
EU-MVSNet85.62 19587.65 18183.24 20188.54 20092.77 20687.12 19985.32 16286.71 19364.54 20678.52 16675.11 17478.35 20692.25 18092.28 18395.58 20095.93 175
TransMVSNet (Re)87.73 17986.79 19088.83 15290.76 16194.40 19591.33 17989.62 11184.73 20375.41 16572.73 19271.41 19186.80 18494.53 14493.93 15199.06 11195.83 176
EPNet_dtu92.45 11795.02 8089.46 14698.02 5495.47 16794.79 12092.62 6994.97 10070.11 19294.76 5492.61 7884.07 20295.94 11395.56 10597.15 18895.82 177
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MSDG94.82 7193.73 10396.09 4998.34 4897.43 10997.06 6096.05 3995.84 7890.56 6786.30 12889.10 10195.55 8696.13 11095.61 10499.00 11795.73 178
pmmvs-eth3d84.33 20082.94 20585.96 19484.16 21190.94 21086.55 20183.79 17684.25 20475.85 16270.64 20256.43 22087.44 18392.20 18190.41 19397.97 17795.68 179
GG-mvs-BLEND66.17 21394.91 8232.63 2191.32 22796.64 12991.40 1760.85 22594.39 1112.20 22890.15 9995.70 632.27 22496.39 9695.44 10997.78 18095.68 179
gm-plane-assit83.26 20285.29 19980.89 20389.52 18089.89 21370.26 21978.24 19577.11 21658.01 21974.16 18466.90 20990.63 16297.20 6796.05 9098.66 15195.68 179
TAMVS90.54 14090.87 15090.16 13791.48 15596.61 13093.26 14386.08 15187.71 18781.66 13283.11 14784.04 13390.42 16494.54 14394.60 13298.04 17695.48 182
EG-PatchMatch MVS86.68 18887.24 18486.02 19390.58 16396.26 14091.08 18281.59 18784.96 20269.80 19671.35 20175.08 17584.23 20094.24 15293.35 16298.82 13395.46 183
COLMAP_ROBcopyleft90.49 1493.27 10992.71 11893.93 9297.75 5897.44 10896.07 9493.17 6195.40 8783.86 12083.76 14388.72 10393.87 11494.25 15194.11 14698.87 12995.28 184
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc73.83 21376.23 21885.13 21782.27 21184.16 20565.58 20552.82 21723.31 22873.55 21191.41 19285.26 21092.97 21494.70 185
MS-PatchMatch91.82 12192.51 12291.02 12495.83 8496.88 11895.05 11384.55 17493.85 11882.01 12882.51 14991.71 8090.52 16395.07 13793.03 16898.13 17294.52 186
TDRefinement89.07 16188.15 17090.14 13995.16 9896.88 11895.55 10890.20 10189.68 16976.42 15776.67 17074.30 17884.85 19693.11 16891.91 18698.64 15394.47 187
MDTV_nov1_ep1391.57 12693.18 11289.70 14393.39 13796.97 11693.53 13780.91 19195.70 8181.86 12992.40 7189.93 9293.25 12791.97 18790.80 19095.25 20594.46 188
dps90.11 14889.37 16190.98 12593.89 13096.21 14193.49 13877.61 19891.95 14992.74 4788.85 10678.77 15992.37 13487.71 20687.71 20395.80 19794.38 189
Anonymous2023120683.84 20185.19 20082.26 20287.38 20692.87 20485.49 20483.65 17786.07 19963.44 21068.42 20569.01 20375.45 21093.34 16392.44 18098.12 17494.20 190
USDC90.69 13690.52 15290.88 12794.17 12596.43 13595.82 10586.76 14393.92 11676.27 15986.49 12274.30 17893.67 12195.04 13893.36 16198.61 15494.13 191
pmnet_mix0286.12 19387.12 18784.96 19689.82 17494.12 19984.88 20686.63 14591.78 15165.60 20480.76 15776.98 16786.61 18687.29 20884.80 21196.21 19294.09 192
tpm cat188.90 16387.78 17990.22 13693.88 13195.39 17193.79 13478.11 19792.55 13789.43 8781.31 15479.84 15591.40 14484.95 21086.34 20894.68 21194.09 192
SCA90.92 13493.04 11488.45 15693.72 13497.33 11192.77 14976.08 20596.02 7178.26 14691.96 7690.86 8593.99 11390.98 19490.04 19595.88 19694.06 194
RPSCF94.05 9194.00 9794.12 9096.20 7696.41 13696.61 7891.54 8595.83 7989.73 8396.94 3192.80 7695.35 9091.63 19090.44 19295.27 20493.94 195
tpmrst88.86 16589.62 15687.97 16994.33 12195.98 14692.62 15376.36 20394.62 10676.94 15385.98 12982.80 14392.80 13186.90 20987.15 20594.77 20993.93 196
MDTV_nov1_ep13_2view86.30 19188.27 16884.01 19887.71 20594.67 19088.08 19676.78 20190.59 16568.66 20080.46 16180.12 15387.58 18289.95 20088.20 20195.25 20593.90 197
ADS-MVSNet89.80 15091.33 14488.00 16894.43 12096.71 12792.29 16174.95 21096.07 7077.39 14988.67 10986.09 11793.26 12688.44 20389.57 19795.68 19893.81 198
PatchmatchNetpermissive90.56 13892.49 12488.31 15993.83 13296.86 12192.42 15776.50 20295.96 7378.31 14591.96 7689.66 9493.48 12390.04 19989.20 19895.32 20293.73 199
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MIMVSNet88.99 16291.07 14686.57 18886.78 20895.62 16091.20 18175.40 20890.65 16376.57 15584.05 14182.44 14591.01 15195.84 11695.38 11098.48 16293.50 200
EPMVS90.88 13592.12 13489.44 14794.71 11197.24 11293.55 13676.81 20095.89 7581.77 13091.49 8486.47 11493.87 11490.21 19790.07 19495.92 19593.49 201
TinyColmap89.42 15388.58 16590.40 13493.80 13395.45 16893.96 13386.54 14692.24 14676.49 15680.83 15670.44 19693.37 12494.45 14693.30 16498.26 17093.37 202
test_method72.96 21078.68 21066.28 21450.17 22464.90 22275.45 21850.90 22187.89 18462.54 21162.98 21368.34 20670.45 21291.90 18882.41 21288.19 21892.35 203
MDA-MVSNet-bldmvs80.11 20580.24 20879.94 20577.01 21793.21 20378.86 21585.94 15482.71 21060.86 21279.71 16351.77 22383.71 20375.60 21586.37 20793.28 21392.35 203
N_pmnet84.80 19785.10 20184.45 19789.25 18992.86 20584.04 20786.21 14888.78 17666.73 20272.41 19674.87 17785.21 19488.32 20486.45 20695.30 20392.04 205
test20.0382.92 20385.52 19879.90 20687.75 20491.84 20882.80 21082.99 18182.65 21160.32 21578.90 16570.50 19467.10 21492.05 18690.89 18998.44 16491.80 206
pmmvs379.16 20780.12 20978.05 20979.36 21586.59 21678.13 21673.87 21276.42 21757.51 22070.59 20357.02 21984.66 19890.10 19888.32 20094.75 21091.77 207
FMVSNet590.36 14190.93 14889.70 14387.99 20292.25 20792.03 16883.51 17892.20 14784.13 11885.59 13186.48 11392.43 13394.61 14194.52 13898.13 17290.85 208
new-patchmatchnet78.49 20878.19 21178.84 20884.13 21290.06 21277.11 21780.39 19279.57 21459.64 21866.01 21055.65 22275.62 20984.55 21180.70 21396.14 19490.77 209
MIMVSNet180.03 20680.93 20778.97 20772.46 22090.73 21180.81 21382.44 18580.39 21263.64 20857.57 21564.93 21576.37 20891.66 18991.55 18898.07 17589.70 210
MVS-HIRNet85.36 19686.89 18983.57 19990.13 17094.51 19383.57 20972.61 21388.27 18371.22 18668.97 20481.81 14788.91 17693.08 16991.94 18594.97 20889.64 211
CMPMVSbinary65.18 1784.76 19883.10 20486.69 18795.29 9495.05 18088.37 19585.51 16080.27 21371.31 18568.37 20673.85 18085.25 19387.72 20587.75 20294.38 21288.70 212
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
new_pmnet81.53 20482.68 20680.20 20483.47 21389.47 21482.21 21278.36 19487.86 18560.14 21767.90 20769.43 20282.03 20489.22 20287.47 20494.99 20787.39 213
DeepMVS_CXcopyleft86.86 21579.50 21470.43 21690.73 16163.66 20780.36 16260.83 21679.68 20576.23 21489.46 21686.53 214
PMMVS264.36 21465.94 21662.52 21567.37 22177.44 21964.39 22169.32 21961.47 22034.59 22346.09 21841.03 22448.02 22174.56 21778.23 21491.43 21582.76 215
FPMVS75.84 20974.59 21277.29 21086.92 20783.89 21885.01 20580.05 19382.91 20960.61 21465.25 21160.41 21763.86 21575.60 21573.60 21787.29 21980.47 216
Gipumacopyleft68.35 21166.71 21470.27 21174.16 21968.78 22163.93 22271.77 21583.34 20854.57 22134.37 21931.88 22568.69 21383.30 21285.53 20988.48 21779.78 217
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft63.12 1867.27 21266.39 21568.30 21277.98 21660.24 22359.53 22376.82 19966.65 21960.74 21354.39 21659.82 21851.24 21873.92 21870.52 21883.48 22079.17 218
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive50.86 1949.54 21751.43 21747.33 21844.14 22559.20 22436.45 22660.59 22041.47 22331.14 22429.58 22017.06 22948.52 22062.22 21974.63 21663.12 22475.87 219
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN50.67 21547.85 21853.96 21664.13 22350.98 22638.06 22469.51 21751.40 22224.60 22529.46 22224.39 22756.07 21748.17 22059.70 21971.40 22270.84 220
EMVS49.98 21646.76 21953.74 21764.96 22251.29 22537.81 22569.35 21851.83 22122.69 22629.57 22125.06 22657.28 21644.81 22156.11 22070.32 22368.64 221
testmvs12.09 21816.94 2206.42 2203.15 2266.08 2279.51 2283.84 22321.46 2245.31 22727.49 2236.76 23010.89 22217.06 22215.01 2215.84 22524.75 222
test1239.58 21913.53 2214.97 2211.31 2285.47 2288.32 2292.95 22418.14 2252.03 22920.82 2242.34 23110.60 22310.00 22314.16 2224.60 22623.77 223
uanet_test0.00 2200.00 2220.00 2220.00 2290.00 2290.00 2300.00 2260.00 2260.00 2300.00 2250.00 2320.00 2250.00 2240.00 2230.00 2270.00 224
sosnet-low-res0.00 2200.00 2220.00 2220.00 2290.00 2290.00 2300.00 2260.00 2260.00 2300.00 2250.00 2320.00 2250.00 2240.00 2230.00 2270.00 224
sosnet0.00 2200.00 2220.00 2220.00 2290.00 2290.00 2300.00 2260.00 2260.00 2300.00 2250.00 2320.00 2250.00 2240.00 2230.00 2270.00 224
RE-MVS-def63.50 209
9.1499.28 12
SR-MVS99.45 1097.61 1699.20 16
our_test_389.78 17593.84 20185.59 203
MTAPA96.83 1199.12 21
MTMP97.18 598.83 27
Patchmatch-RL test34.61 227
tmp_tt66.88 21386.07 20973.86 22068.22 22033.38 22296.88 4880.67 13788.23 11278.82 15849.78 21982.68 21377.47 21583.19 221
XVS96.60 6999.35 1696.82 6990.85 6198.72 3099.46 31
X-MVStestdata96.60 6999.35 1696.82 6990.85 6198.72 3099.46 31
mPP-MVS99.21 2598.29 39
NP-MVS95.32 89
Patchmtry95.96 14893.36 14175.99 20675.19 167