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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
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
test_241102_ONE98.77 585.99 5897.44 1490.26 3597.71 197.96 1092.31 499.38 32
SMA-MVScopyleft95.20 895.07 1095.59 598.14 3888.48 896.26 4497.28 3185.90 14597.67 398.10 288.41 2099.56 1094.66 1399.19 198.71 17
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
test072698.78 385.93 6197.19 1097.47 1090.27 3397.64 498.13 191.47 8
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
test_241102_TWO97.44 1490.31 3197.62 598.07 491.46 1099.58 895.66 499.12 698.98 9
IU-MVS98.77 586.00 5696.84 6981.26 25297.26 795.50 1099.13 399.03 7
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
PC_three_145282.47 22097.09 997.07 4592.72 198.04 15892.70 4599.02 1298.86 10
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 37
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_THIRD90.75 2297.04 1098.05 892.09 699.55 1595.64 699.13 399.13 2
SD-MVS94.96 1295.33 893.88 6597.25 7986.69 3296.19 4897.11 4690.42 3096.95 1297.27 2989.53 1496.91 24794.38 1698.85 1998.03 77
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
test_one_060198.58 1285.83 6797.44 1491.05 1796.78 1398.06 691.45 11
test_part298.55 1387.22 1896.40 14
FOURS198.86 185.54 7498.29 197.49 589.79 4596.29 15
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 6289.90 1299.30 4294.70 1298.04 7299.13 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
TSAR-MVS + MP.94.85 1394.94 1194.58 4698.25 3186.33 4796.11 5596.62 9588.14 9296.10 1796.96 5089.09 1898.94 8794.48 1598.68 3998.48 29
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
xxxxxxxxxxxxxcwj94.65 1694.70 1594.48 5097.85 5085.63 7295.21 10195.47 17789.44 5295.71 1997.70 1388.28 2399.35 3493.89 2298.78 2598.48 29
SF-MVS94.97 1194.90 1395.20 1097.84 5287.76 1096.65 3297.48 987.76 10595.71 1997.70 1388.28 2399.35 3493.89 2298.78 2598.48 29
DeepPCF-MVS89.96 194.20 3694.77 1492.49 11696.52 9880.00 21794.00 18797.08 4790.05 3795.65 2197.29 2889.66 1398.97 8393.95 2098.71 3498.50 27
SteuartSystems-ACMMP95.20 895.32 994.85 2996.99 8286.33 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.
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 19
ACMMP_NAP94.74 1594.56 1795.28 898.02 4587.70 1295.68 7697.34 2288.28 8695.30 2497.67 1585.90 5399.54 1993.91 2198.95 1598.60 22
ETH3D-3000-0.194.61 1794.44 2095.12 1397.70 6087.71 1195.98 6397.44 1486.67 13195.25 2597.31 2787.73 2999.24 4793.11 3898.76 3098.40 40
9.1494.47 1897.79 5496.08 5697.44 1486.13 14395.10 2697.40 2388.34 2299.22 4993.25 3598.70 36
APD-MVScopyleft94.24 3194.07 3794.75 3998.06 4386.90 2395.88 6796.94 5985.68 15195.05 2797.18 3887.31 3599.07 6191.90 7198.61 4998.28 53
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
patch_mono-293.74 4894.32 2292.01 13497.54 6378.37 25293.40 21097.19 3888.02 9494.99 2897.21 3488.35 2198.44 12294.07 1998.09 7099.23 1
testtj94.39 2694.18 3295.00 1898.24 3386.77 3096.16 4997.23 3587.28 11694.85 2997.04 4686.99 4199.52 2391.54 7798.33 6098.71 17
Regformer-294.33 2894.22 2894.68 4195.54 13486.75 3194.57 14396.70 8891.84 694.41 3096.56 7487.19 3899.13 5793.50 2797.65 8598.16 65
旧先验293.36 21171.25 34694.37 3197.13 23186.74 136
SR-MVS94.23 3294.17 3394.43 5398.21 3585.78 6996.40 3896.90 6288.20 9094.33 3297.40 2384.75 6999.03 6793.35 3297.99 7398.48 29
Regformer-194.22 3394.13 3594.51 4995.54 13486.36 4694.57 14396.44 10491.69 1194.32 3396.56 7487.05 4099.03 6793.35 3297.65 8598.15 66
TSAR-MVS + GP.93.66 5193.41 5694.41 5596.59 9286.78 2894.40 15593.93 24789.77 4694.21 3495.59 11287.35 3498.61 11092.72 4396.15 11397.83 91
ZD-MVS98.15 3786.62 3797.07 4883.63 19494.19 3596.91 5287.57 3399.26 4691.99 6398.44 55
test117293.97 4194.07 3793.66 7498.11 3983.45 12096.26 4496.84 6988.33 8394.19 3597.43 2084.24 7499.01 7393.26 3497.98 7498.52 25
alignmvs93.08 6792.50 7394.81 3595.62 13187.61 1495.99 6196.07 13089.77 4694.12 3794.87 13180.56 11298.66 10592.42 4893.10 16398.15 66
canonicalmvs93.27 6392.75 6994.85 2995.70 12887.66 1396.33 3996.41 10790.00 3994.09 3894.60 14482.33 9498.62 10992.40 4992.86 16898.27 55
VNet92.24 7891.91 7993.24 7996.59 9283.43 12194.84 12696.44 10489.19 6194.08 3995.90 10077.85 14898.17 14188.90 10893.38 15798.13 68
HPM-MVS++copyleft95.14 1094.91 1295.83 498.25 3189.65 495.92 6696.96 5791.75 894.02 4096.83 5588.12 2599.55 1593.41 3198.94 1698.28 53
NCCC94.81 1494.69 1695.17 1297.83 5387.46 1695.66 7896.93 6092.34 293.94 4196.58 7287.74 2899.44 3092.83 4098.40 5798.62 21
APD-MVS_3200maxsize93.78 4793.77 4893.80 7197.92 4784.19 10196.30 4096.87 6686.96 12293.92 4297.47 1883.88 7998.96 8692.71 4497.87 7898.26 57
ETH3D cwj APD-0.1693.91 4393.53 5495.06 1596.76 8787.78 994.92 12097.21 3784.33 18193.89 4397.09 4287.20 3799.29 4491.90 7198.44 5598.12 69
ETH3 D test640093.64 5293.22 5994.92 2297.79 5486.84 2495.31 9097.26 3282.67 21893.81 4496.29 8287.29 3699.27 4589.87 9898.67 4198.65 20
SR-MVS-dyc-post93.82 4693.82 4493.82 6797.92 4784.57 8696.28 4296.76 7987.46 11293.75 4597.43 2084.24 7499.01 7392.73 4197.80 8097.88 87
RE-MVS-def93.68 5197.92 4784.57 8696.28 4296.76 7987.46 11293.75 4597.43 2082.94 8692.73 4197.80 8097.88 87
Regformer-493.91 4393.81 4594.19 6095.36 13985.47 7594.68 13596.41 10791.60 1293.75 4596.71 6085.95 5299.10 6093.21 3696.65 10498.01 79
HFP-MVS94.52 1894.40 2194.86 2798.61 1086.81 2696.94 1997.34 2288.63 7593.65 4897.21 3486.10 4999.49 2692.35 5198.77 2898.30 49
#test#94.32 2994.14 3494.86 2798.61 1086.81 2696.43 3597.34 2287.51 11193.65 4897.21 3486.10 4999.49 2691.68 7598.77 2898.30 49
testdata90.49 19996.40 10077.89 26495.37 18972.51 34093.63 5096.69 6282.08 10097.65 18383.08 17897.39 8895.94 160
Regformer-393.68 5093.64 5393.81 7095.36 13984.61 8494.68 13595.83 15091.27 1493.60 5196.71 6085.75 5498.86 9492.87 3996.65 10497.96 81
region2R94.43 2394.27 2794.92 2298.65 886.67 3496.92 2397.23 3588.60 7793.58 5297.27 2985.22 6199.54 1992.21 5498.74 3398.56 24
MSLP-MVS++93.72 4994.08 3692.65 10897.31 7383.43 12195.79 7197.33 2590.03 3893.58 5296.96 5084.87 6797.76 17492.19 5698.66 4496.76 131
PHI-MVS93.89 4593.65 5294.62 4596.84 8586.43 4396.69 3197.49 585.15 16793.56 5496.28 8385.60 5699.31 4192.45 4698.79 2398.12 69
ACMMPR94.43 2394.28 2594.91 2498.63 986.69 3296.94 1997.32 2788.63 7593.53 5597.26 3185.04 6499.54 1992.35 5198.78 2598.50 27
CS-MVS-test93.62 5393.88 4292.86 9696.59 9282.12 15796.43 3596.57 9991.76 793.52 5694.41 14983.85 8098.24 13593.62 2598.17 6498.21 61
CS-MVS94.05 3794.45 1992.84 9796.57 9582.09 15897.63 396.97 5391.71 1093.51 5796.22 8685.65 5598.24 13593.60 2698.17 6498.20 62
GST-MVS94.21 3493.97 4194.90 2698.41 2486.82 2596.54 3497.19 3888.24 8793.26 5896.83 5585.48 5899.59 791.43 8198.40 5798.30 49
PGM-MVS93.96 4293.72 4994.68 4198.43 2186.22 5295.30 9397.78 187.45 11493.26 5897.33 2684.62 7099.51 2490.75 9298.57 5098.32 48
UA-Net92.83 6992.54 7293.68 7396.10 11184.71 8395.66 7896.39 10991.92 493.22 6096.49 7683.16 8398.87 9184.47 16395.47 12197.45 106
abl_693.18 6693.05 6393.57 7697.52 6684.27 10095.53 8496.67 9187.85 10293.20 6197.22 3380.35 11399.18 5291.91 6897.21 9097.26 111
ZNCC-MVS94.47 1994.28 2595.03 1698.52 1686.96 1996.85 2797.32 2788.24 8793.15 6297.04 4686.17 4899.62 192.40 4998.81 2298.52 25
zzz-MVS94.47 1994.30 2495.00 1898.42 2286.95 2095.06 11396.97 5391.07 1593.14 6397.56 1684.30 7299.56 1093.43 2998.75 3198.47 33
MTAPA94.42 2594.22 2895.00 1898.42 2286.95 2094.36 16396.97 5391.07 1593.14 6397.56 1684.30 7299.56 1093.43 2998.75 3198.47 33
h-mvs3390.80 9990.15 10592.75 10296.01 11582.66 14695.43 8695.53 17389.80 4293.08 6595.64 11075.77 16499.00 7892.07 6078.05 33096.60 136
hse-mvs289.88 12589.34 12391.51 15994.83 16681.12 18593.94 19093.91 25089.80 4293.08 6593.60 18475.77 16497.66 18192.07 6077.07 33795.74 170
ETV-MVS92.74 7192.66 7092.97 9195.20 14884.04 10595.07 11096.51 10290.73 2592.96 6791.19 26184.06 7698.34 12991.72 7496.54 10796.54 140
DROMVSNet93.44 5793.71 5092.63 10995.21 14782.43 15097.27 896.71 8790.57 2992.88 6895.80 10483.16 8398.16 14293.68 2498.14 6797.31 108
XVS94.45 2194.32 2294.85 2998.54 1486.60 3896.93 2197.19 3890.66 2792.85 6997.16 4085.02 6599.49 2691.99 6398.56 5198.47 33
X-MVStestdata88.31 16986.13 21294.85 2998.54 1486.60 3896.93 2197.19 3890.66 2792.85 6923.41 37285.02 6599.49 2691.99 6398.56 5198.47 33
MP-MVS-pluss94.21 3494.00 4094.85 2998.17 3686.65 3594.82 12797.17 4286.26 13992.83 7197.87 1285.57 5799.56 1094.37 1798.92 1798.34 44
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DeepC-MVS_fast89.43 294.04 3893.79 4694.80 3697.48 6886.78 2895.65 8096.89 6389.40 5592.81 7296.97 4985.37 6099.24 4790.87 9098.69 3798.38 43
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TEST997.53 6486.49 4194.07 18096.78 7681.61 24592.77 7396.20 8887.71 3099.12 58
train_agg93.44 5793.08 6294.52 4897.53 6486.49 4194.07 18096.78 7681.86 23892.77 7396.20 8887.63 3199.12 5892.14 5898.69 3797.94 82
CDPH-MVS92.83 6992.30 7594.44 5197.79 5486.11 5494.06 18296.66 9280.09 26592.77 7396.63 6986.62 4399.04 6687.40 12698.66 4498.17 64
CP-MVS94.34 2794.21 3094.74 4098.39 2586.64 3697.60 497.24 3388.53 7992.73 7697.23 3285.20 6299.32 4092.15 5798.83 2198.25 58
test_897.49 6786.30 5094.02 18596.76 7981.86 23892.70 7796.20 8887.63 3199.02 71
test_prior393.60 5493.53 5493.82 6797.29 7584.49 9094.12 17396.88 6487.67 10892.63 7896.39 7986.62 4398.87 9191.50 7898.67 4198.11 71
test_prior294.12 17387.67 10892.63 7896.39 7986.62 4391.50 7898.67 41
HPM-MVScopyleft94.02 3993.88 4294.43 5398.39 2585.78 6997.25 997.07 4886.90 12692.62 8096.80 5984.85 6899.17 5392.43 4798.65 4698.33 45
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
VDD-MVS90.74 10189.92 11393.20 8096.27 10483.02 13295.73 7393.86 25188.42 8292.53 8196.84 5462.09 30898.64 10790.95 8892.62 17197.93 84
EI-MVSNet-Vis-set93.01 6892.92 6793.29 7795.01 15383.51 11994.48 14795.77 15490.87 1892.52 8296.67 6484.50 7199.00 7891.99 6394.44 14197.36 107
MCST-MVS94.45 2194.20 3195.19 1198.46 2087.50 1595.00 11597.12 4487.13 11892.51 8396.30 8189.24 1799.34 3693.46 2898.62 4898.73 16
HPM-MVS_fast93.40 6093.22 5993.94 6498.36 2784.83 8197.15 1296.80 7585.77 14892.47 8497.13 4182.38 9299.07 6190.51 9498.40 5797.92 85
xiu_mvs_v1_base_debu90.64 10690.05 10892.40 11993.97 20284.46 9393.32 21295.46 17885.17 16492.25 8594.03 16070.59 23498.57 11290.97 8594.67 13294.18 227
xiu_mvs_v1_base90.64 10690.05 10892.40 11993.97 20284.46 9393.32 21295.46 17885.17 16492.25 8594.03 16070.59 23498.57 11290.97 8594.67 13294.18 227
xiu_mvs_v1_base_debi90.64 10690.05 10892.40 11993.97 20284.46 9393.32 21295.46 17885.17 16492.25 8594.03 16070.59 23498.57 11290.97 8594.67 13294.18 227
agg_prior193.29 6292.97 6694.26 5897.38 7085.92 6393.92 19196.72 8581.96 23292.16 8896.23 8587.85 2698.97 8391.95 6798.55 5397.90 86
agg_prior97.38 7085.92 6396.72 8592.16 8898.97 83
LFMVS90.08 11689.13 12992.95 9296.71 8882.32 15596.08 5689.91 33886.79 12792.15 9096.81 5762.60 30598.34 12987.18 13093.90 14598.19 63
EI-MVSNet-UG-set92.74 7192.62 7193.12 8394.86 16483.20 12694.40 15595.74 15790.71 2692.05 9196.60 7184.00 7798.99 8091.55 7693.63 14997.17 116
MP-MVScopyleft94.25 3094.07 3794.77 3898.47 1986.31 4996.71 3096.98 5289.04 6591.98 9297.19 3785.43 5999.56 1092.06 6298.79 2398.44 38
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
casdiffmvs92.51 7492.43 7492.74 10394.41 18581.98 16294.54 14596.23 11989.57 5091.96 9396.17 9282.58 9098.01 16190.95 8895.45 12398.23 59
VDDNet89.56 13188.49 14692.76 10195.07 15282.09 15896.30 4093.19 26381.05 25791.88 9496.86 5361.16 31898.33 13188.43 11492.49 17497.84 90
baseline92.39 7792.29 7692.69 10794.46 18281.77 16694.14 17296.27 11489.22 5991.88 9496.00 9682.35 9397.99 16391.05 8495.27 12898.30 49
PS-MVSNAJ91.18 9590.92 9391.96 14095.26 14582.60 14992.09 25995.70 15986.27 13891.84 9692.46 21879.70 12398.99 8089.08 10695.86 11594.29 225
DELS-MVS93.43 5993.25 5893.97 6295.42 13885.04 7993.06 22997.13 4390.74 2491.84 9695.09 12586.32 4799.21 5091.22 8298.45 5497.65 96
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
mPP-MVS93.99 4093.78 4794.63 4498.50 1785.90 6696.87 2596.91 6188.70 7391.83 9897.17 3983.96 7899.55 1591.44 8098.64 4798.43 39
MVSFormer91.68 8791.30 8592.80 9993.86 20583.88 10895.96 6495.90 14484.66 17791.76 9994.91 12977.92 14597.30 21589.64 10097.11 9197.24 112
lupinMVS90.92 9890.21 10293.03 8893.86 20583.88 10892.81 23693.86 25179.84 26891.76 9994.29 15477.92 14598.04 15890.48 9597.11 9197.17 116
xiu_mvs_v2_base91.13 9690.89 9591.86 14694.97 15682.42 15192.24 25395.64 16686.11 14491.74 10193.14 19879.67 12698.89 9089.06 10795.46 12294.28 226
DPM-MVS92.58 7391.74 8195.08 1496.19 10689.31 592.66 23996.56 10183.44 20091.68 10295.04 12686.60 4698.99 8085.60 15097.92 7796.93 127
MVS_111021_HR93.45 5693.31 5793.84 6696.99 8284.84 8093.24 22297.24 3388.76 7291.60 10395.85 10286.07 5198.66 10591.91 6898.16 6698.03 77
test_yl90.69 10390.02 11192.71 10495.72 12682.41 15394.11 17595.12 19985.63 15291.49 10494.70 13874.75 17998.42 12486.13 14392.53 17297.31 108
DCV-MVSNet90.69 10390.02 11192.71 10495.72 12682.41 15394.11 17595.12 19985.63 15291.49 10494.70 13874.75 17998.42 12486.13 14392.53 17297.31 108
jason90.80 9990.10 10692.90 9493.04 23183.53 11893.08 22794.15 24180.22 26291.41 10694.91 12976.87 15197.93 16890.28 9696.90 9797.24 112
jason: jason.
diffmvs91.37 9191.23 8791.77 15293.09 22880.27 20592.36 24995.52 17487.03 12191.40 10794.93 12880.08 11797.44 20092.13 5994.56 13797.61 98
MVS_Test91.31 9291.11 8991.93 14294.37 18680.14 20893.46 20995.80 15286.46 13491.35 10893.77 17982.21 9798.09 15387.57 12494.95 13097.55 103
新几何193.10 8497.30 7484.35 9995.56 16971.09 34791.26 10996.24 8482.87 8898.86 9479.19 24598.10 6996.07 156
112190.42 11189.49 11793.20 8097.27 7784.46 9392.63 24095.51 17571.01 34891.20 11096.21 8782.92 8799.05 6380.56 22698.07 7196.10 154
MVS_111021_LR92.47 7592.29 7692.98 9095.99 11784.43 9793.08 22796.09 12888.20 9091.12 11195.72 10881.33 10897.76 17491.74 7397.37 8996.75 132
test1294.34 5697.13 8086.15 5396.29 11391.04 11285.08 6399.01 7398.13 6897.86 89
MG-MVS91.77 8391.70 8292.00 13797.08 8180.03 21593.60 20495.18 19787.85 10290.89 11396.47 7782.06 10198.36 12685.07 15497.04 9497.62 97
CANet93.54 5593.20 6194.55 4795.65 12985.73 7194.94 11896.69 9091.89 590.69 11495.88 10181.99 10399.54 1993.14 3797.95 7698.39 41
Effi-MVS+91.59 8891.11 8993.01 8994.35 18983.39 12394.60 14095.10 20187.10 11990.57 11593.10 20081.43 10798.07 15689.29 10494.48 13997.59 100
test250687.21 21186.28 20890.02 22295.62 13173.64 31496.25 4671.38 37387.89 10090.45 11696.65 6655.29 34298.09 15386.03 14596.94 9598.33 45
原ACMM192.01 13497.34 7281.05 18696.81 7478.89 27990.45 11695.92 9982.65 8998.84 9980.68 22498.26 6396.14 149
Vis-MVSNetpermissive91.75 8491.23 8793.29 7795.32 14283.78 11196.14 5295.98 13689.89 4090.45 11696.58 7275.09 17598.31 13384.75 16096.90 9797.78 94
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
CPTT-MVS91.99 7991.80 8092.55 11398.24 3381.98 16296.76 2996.49 10381.89 23790.24 11996.44 7878.59 13798.61 11089.68 9997.85 7997.06 120
ECVR-MVScopyleft89.09 14788.53 14290.77 18995.62 13175.89 29596.16 4984.22 36087.89 10090.20 12096.65 6663.19 30398.10 14585.90 14696.94 9598.33 45
test22296.55 9681.70 16792.22 25495.01 20468.36 35390.20 12096.14 9380.26 11697.80 8096.05 158
test111189.10 14588.64 13990.48 20095.53 13674.97 30196.08 5684.89 35888.13 9390.16 12296.65 6663.29 30198.10 14586.14 14196.90 9798.39 41
ACMMPcopyleft93.24 6492.88 6894.30 5798.09 4285.33 7796.86 2697.45 1388.33 8390.15 12397.03 4881.44 10699.51 2490.85 9195.74 11698.04 76
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 6593.05 6393.76 7298.04 4484.07 10396.22 4797.37 2184.15 18390.05 12495.66 10987.77 2799.15 5689.91 9798.27 6298.07 73
DP-MVS Recon91.95 8091.28 8693.96 6398.33 2985.92 6394.66 13896.66 9282.69 21790.03 12595.82 10382.30 9599.03 6784.57 16296.48 11096.91 128
EPP-MVSNet91.70 8691.56 8392.13 13295.88 12180.50 20297.33 695.25 19386.15 14189.76 12695.60 11183.42 8298.32 13287.37 12893.25 16097.56 102
DeepC-MVS88.79 393.31 6192.99 6594.26 5896.07 11385.83 6794.89 12296.99 5189.02 6789.56 12797.37 2582.51 9199.38 3292.20 5598.30 6197.57 101
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OMC-MVS91.23 9390.62 9893.08 8596.27 10484.07 10393.52 20695.93 14086.95 12389.51 12896.13 9478.50 13998.35 12885.84 14792.90 16796.83 130
IS-MVSNet91.43 8991.09 9192.46 11795.87 12381.38 17896.95 1893.69 25689.72 4889.50 12995.98 9778.57 13897.77 17383.02 18096.50 10998.22 60
Anonymous20240521187.68 18586.13 21292.31 12696.66 8980.74 19694.87 12491.49 30580.47 26189.46 13095.44 11354.72 34498.23 13782.19 19589.89 19997.97 80
EIA-MVS91.95 8091.94 7891.98 13895.16 14980.01 21695.36 8796.73 8388.44 8089.34 13192.16 22883.82 8198.45 12189.35 10397.06 9397.48 104
PVSNet_Blended_VisFu91.38 9090.91 9492.80 9996.39 10183.17 12794.87 12496.66 9283.29 20489.27 13294.46 14880.29 11599.17 5387.57 12495.37 12496.05 158
API-MVS90.66 10590.07 10792.45 11896.36 10284.57 8696.06 5995.22 19682.39 22189.13 13394.27 15780.32 11498.46 11880.16 23396.71 10294.33 224
PVSNet_BlendedMVS89.98 11989.70 11490.82 18796.12 10881.25 18093.92 19196.83 7183.49 19989.10 13492.26 22681.04 11098.85 9786.72 13887.86 23492.35 306
PVSNet_Blended90.73 10290.32 10191.98 13896.12 10881.25 18092.55 24496.83 7182.04 23089.10 13492.56 21681.04 11098.85 9786.72 13895.91 11495.84 165
Anonymous2024052988.09 17586.59 19692.58 11296.53 9781.92 16495.99 6195.84 14974.11 32789.06 13695.21 12161.44 31398.81 10083.67 17487.47 23697.01 123
WTY-MVS89.60 12988.92 13491.67 15595.47 13781.15 18492.38 24894.78 22283.11 20789.06 13694.32 15278.67 13696.61 26081.57 20990.89 18897.24 112
XVG-OURS89.40 14088.70 13891.52 15894.06 19481.46 17591.27 27596.07 13086.14 14288.89 13895.77 10668.73 26397.26 22187.39 12789.96 19795.83 166
sss88.93 15488.26 15490.94 18694.05 19580.78 19591.71 26795.38 18781.55 24688.63 13993.91 17275.04 17695.47 31582.47 19091.61 17996.57 138
XVG-OURS-SEG-HR89.95 12189.45 11891.47 16294.00 20081.21 18391.87 26296.06 13285.78 14788.55 14095.73 10774.67 18297.27 21988.71 11189.64 20495.91 161
ab-mvs89.41 13888.35 14892.60 11095.15 15182.65 14792.20 25595.60 16883.97 18788.55 14093.70 18374.16 19098.21 14082.46 19189.37 20796.94 126
thisisatest053088.67 16087.61 16791.86 14694.87 16380.07 21194.63 13989.90 33984.00 18688.46 14293.78 17866.88 27798.46 11883.30 17692.65 17097.06 120
VPA-MVSNet89.62 12888.96 13291.60 15793.86 20582.89 13795.46 8597.33 2587.91 9788.43 14393.31 19074.17 18997.40 20987.32 12982.86 27994.52 215
nrg03091.08 9790.39 9993.17 8293.07 22986.91 2296.41 3796.26 11588.30 8588.37 14494.85 13482.19 9897.64 18591.09 8382.95 27494.96 193
tfpn200view987.58 19486.64 19290.41 20395.99 11778.64 24394.58 14191.98 29286.94 12488.09 14591.77 24469.18 25798.10 14570.13 31291.10 18294.48 220
thres40087.62 19286.64 19290.57 19395.99 11778.64 24394.58 14191.98 29286.94 12488.09 14591.77 24469.18 25798.10 14570.13 31291.10 18294.96 193
thres600view787.65 18786.67 19190.59 19296.08 11278.72 24194.88 12391.58 30187.06 12088.08 14792.30 22468.91 26098.10 14570.05 31591.10 18294.96 193
thres100view90087.63 19086.71 18990.38 20696.12 10878.55 24595.03 11491.58 30187.15 11788.06 14892.29 22568.91 26098.10 14570.13 31291.10 18294.48 220
tttt051788.61 16287.78 16391.11 17594.96 15777.81 26795.35 8889.69 34285.09 16988.05 14994.59 14566.93 27598.48 11683.27 17792.13 17797.03 122
thres20087.21 21186.24 21090.12 21695.36 13978.53 24693.26 21992.10 28686.42 13688.00 15091.11 26769.24 25698.00 16269.58 31691.04 18793.83 249
OPM-MVS90.12 11589.56 11691.82 14993.14 22683.90 10794.16 17195.74 15788.96 6887.86 15195.43 11572.48 21497.91 16988.10 11990.18 19493.65 260
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
MAR-MVS90.30 11289.37 12293.07 8796.61 9184.48 9295.68 7695.67 16182.36 22387.85 15292.85 20676.63 15798.80 10180.01 23496.68 10395.91 161
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
Vis-MVSNet (Re-imp)89.59 13089.44 11990.03 22095.74 12575.85 29695.61 8190.80 32387.66 11087.83 15395.40 11676.79 15396.46 27378.37 25096.73 10197.80 92
CDS-MVSNet89.45 13588.51 14392.29 12893.62 21483.61 11793.01 23094.68 22581.95 23387.82 15493.24 19478.69 13596.99 24280.34 23093.23 16196.28 145
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS89.21 14388.29 15291.96 14093.71 21182.62 14893.30 21694.19 23982.22 22587.78 15593.94 16878.83 13296.95 24477.70 25892.98 16696.32 143
CANet_DTU90.26 11489.41 12192.81 9893.46 21983.01 13393.48 20794.47 22989.43 5487.76 15694.23 15870.54 23899.03 6784.97 15596.39 11196.38 142
HyFIR lowres test88.09 17586.81 18591.93 14296.00 11680.63 19890.01 29795.79 15373.42 33287.68 15792.10 23473.86 19597.96 16580.75 22291.70 17897.19 115
UGNet89.95 12188.95 13392.95 9294.51 17983.31 12495.70 7595.23 19489.37 5687.58 15893.94 16864.00 29898.78 10283.92 16996.31 11296.74 133
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
thisisatest051587.33 20385.99 21891.37 16593.49 21779.55 22490.63 28589.56 34580.17 26387.56 15990.86 27267.07 27498.28 13481.50 21093.02 16596.29 144
GeoE90.05 11789.43 12091.90 14595.16 14980.37 20495.80 7094.65 22683.90 18887.55 16094.75 13778.18 14397.62 18781.28 21293.63 14997.71 95
baseline188.10 17487.28 17590.57 19394.96 15780.07 21194.27 16691.29 31086.74 12887.41 16194.00 16576.77 15496.20 28480.77 22179.31 32695.44 178
CHOSEN 1792x268888.84 15687.69 16492.30 12796.14 10781.42 17790.01 29795.86 14874.52 32487.41 16193.94 16875.46 17298.36 12680.36 22995.53 11897.12 119
PAPM_NR91.22 9490.78 9792.52 11597.60 6281.46 17594.37 16296.24 11886.39 13787.41 16194.80 13682.06 10198.48 11682.80 18695.37 12497.61 98
EPNet91.79 8291.02 9294.10 6190.10 32085.25 7896.03 6092.05 28892.83 187.39 16495.78 10579.39 12899.01 7388.13 11897.48 8798.05 75
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EI-MVSNet89.10 14588.86 13789.80 23291.84 26178.30 25493.70 20195.01 20485.73 14987.15 16595.28 11779.87 12097.21 22683.81 17187.36 23993.88 244
MVSTER88.84 15688.29 15290.51 19892.95 23680.44 20393.73 19895.01 20484.66 17787.15 16593.12 19972.79 21097.21 22687.86 12087.36 23993.87 245
RRT_MVS88.86 15587.68 16592.39 12292.02 25686.09 5594.38 16194.94 20785.45 15887.14 16793.84 17665.88 29097.11 23288.73 11086.77 24693.98 240
mvs-test189.45 13589.14 12890.38 20693.33 22177.63 27394.95 11794.36 23287.70 10687.10 16892.81 21073.45 20198.03 16085.57 15193.04 16495.48 176
VPNet88.20 17287.47 17090.39 20493.56 21679.46 22694.04 18395.54 17288.67 7486.96 16994.58 14669.33 25297.15 22884.05 16880.53 31394.56 213
AUN-MVS87.78 18386.54 19891.48 16194.82 16781.05 18693.91 19493.93 24783.00 21086.93 17093.53 18569.50 25097.67 18086.14 14177.12 33695.73 171
HY-MVS83.01 1289.03 15087.94 16192.29 12894.86 16482.77 13892.08 26094.49 22881.52 24786.93 17092.79 21278.32 14298.23 13779.93 23590.55 18995.88 163
HQP_MVS90.60 10990.19 10391.82 14994.70 17282.73 14295.85 6896.22 12090.81 2086.91 17294.86 13274.23 18698.12 14388.15 11689.99 19594.63 206
plane_prior382.75 13990.26 3586.91 172
BH-RMVSNet88.37 16787.48 16991.02 18095.28 14379.45 22792.89 23493.07 26585.45 15886.91 17294.84 13570.35 23997.76 17473.97 29194.59 13695.85 164
Fast-Effi-MVS+89.41 13888.64 13991.71 15494.74 16880.81 19493.54 20595.10 20183.11 20786.82 17590.67 27979.74 12297.75 17780.51 22893.55 15196.57 138
FIs90.51 11090.35 10090.99 18393.99 20180.98 18895.73 7397.54 389.15 6286.72 17694.68 14081.83 10597.24 22385.18 15388.31 22694.76 203
PAPR90.02 11889.27 12792.29 12895.78 12480.95 19092.68 23896.22 12081.91 23586.66 17793.75 18182.23 9698.44 12279.40 24494.79 13197.48 104
PMMVS85.71 24884.96 24587.95 28188.90 33477.09 28188.68 31890.06 33472.32 34186.47 17890.76 27772.15 21794.40 32681.78 20593.49 15392.36 305
UniMVSNet_NR-MVSNet89.92 12389.29 12591.81 15193.39 22083.72 11294.43 15397.12 4489.80 4286.46 17993.32 18983.16 8397.23 22484.92 15681.02 30394.49 219
DU-MVS89.34 14288.50 14491.85 14893.04 23183.72 11294.47 15096.59 9789.50 5186.46 17993.29 19277.25 14997.23 22484.92 15681.02 30394.59 210
CostFormer85.77 24784.94 24688.26 27391.16 28772.58 32889.47 30591.04 31676.26 30786.45 18189.97 29370.74 23296.86 25082.35 19287.07 24495.34 183
UniMVSNet (Re)89.80 12689.07 13092.01 13493.60 21584.52 8994.78 13097.47 1089.26 5886.44 18292.32 22382.10 9997.39 21284.81 15980.84 30794.12 231
TR-MVS86.78 22485.76 22989.82 22994.37 18678.41 25092.47 24592.83 26981.11 25686.36 18392.40 22068.73 26397.48 19573.75 29489.85 20193.57 262
AdaColmapbinary89.89 12489.07 13092.37 12397.41 6983.03 13194.42 15495.92 14182.81 21586.34 18494.65 14273.89 19499.02 7180.69 22395.51 11995.05 188
FC-MVSNet-test90.27 11390.18 10490.53 19593.71 21179.85 22195.77 7297.59 289.31 5786.27 18594.67 14181.93 10497.01 24184.26 16588.09 23094.71 204
PS-MVSNAJss89.97 12089.62 11591.02 18091.90 25980.85 19395.26 9895.98 13686.26 13986.21 18694.29 15479.70 12397.65 18388.87 10988.10 22894.57 212
TAPA-MVS84.62 688.16 17387.01 18191.62 15696.64 9080.65 19794.39 15796.21 12376.38 30486.19 18795.44 11379.75 12198.08 15562.75 34895.29 12696.13 150
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CVMVSNet84.69 26784.79 25084.37 32891.84 26164.92 36293.70 20191.47 30666.19 35686.16 18895.28 11767.18 27293.33 34180.89 22090.42 19194.88 198
tpmrst85.35 25384.99 24386.43 31090.88 30167.88 35488.71 31791.43 30780.13 26486.08 18988.80 31073.05 20796.02 29182.48 18983.40 27395.40 180
ACMM84.12 989.14 14488.48 14791.12 17294.65 17581.22 18295.31 9096.12 12785.31 16285.92 19094.34 15070.19 24298.06 15785.65 14988.86 21694.08 235
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
114514_t89.51 13288.50 14492.54 11498.11 3981.99 16195.16 10696.36 11170.19 35085.81 19195.25 11976.70 15598.63 10882.07 19796.86 10097.00 124
tpm84.73 26584.02 25986.87 30790.33 31668.90 35089.06 31289.94 33780.85 25885.75 19289.86 29568.54 26595.97 29377.76 25784.05 26395.75 169
Baseline_NR-MVSNet87.07 21686.63 19488.40 26891.44 27277.87 26594.23 16992.57 27684.12 18485.74 19392.08 23577.25 14996.04 28982.29 19479.94 31991.30 323
test_part189.00 15387.99 15892.04 13395.94 12083.81 11096.14 5296.05 13386.44 13585.69 19493.73 18271.57 22097.66 18185.80 14880.54 31194.66 205
V4287.68 18586.86 18390.15 21490.58 31180.14 20894.24 16895.28 19283.66 19385.67 19591.33 25674.73 18197.41 20784.43 16481.83 28992.89 290
v114487.61 19386.79 18790.06 21991.01 29179.34 23193.95 18995.42 18683.36 20385.66 19691.31 25974.98 17797.42 20283.37 17582.06 28593.42 269
PatchT82.68 28381.27 28586.89 30690.09 32170.94 34184.06 34990.15 33174.91 32085.63 19783.57 34969.37 25194.87 32465.19 33888.50 22194.84 199
CR-MVSNet85.35 25383.76 26390.12 21690.58 31179.34 23185.24 34391.96 29478.27 29085.55 19887.87 32571.03 22795.61 30673.96 29289.36 20895.40 180
RPMNet83.95 27381.53 28391.21 16990.58 31179.34 23185.24 34396.76 7971.44 34585.55 19882.97 35270.87 23098.91 8961.01 35289.36 20895.40 180
v2v48287.84 18087.06 17990.17 21290.99 29279.23 23894.00 18795.13 19884.87 17285.53 20092.07 23774.45 18397.45 19884.71 16181.75 29193.85 248
TranMVSNet+NR-MVSNet88.84 15687.95 16091.49 16092.68 24183.01 13394.92 12096.31 11289.88 4185.53 20093.85 17576.63 15796.96 24381.91 20179.87 32194.50 217
v14419287.19 21386.35 20489.74 23390.64 30978.24 25693.92 19195.43 18481.93 23485.51 20291.05 26974.21 18897.45 19882.86 18381.56 29393.53 263
SCA86.32 23885.18 24089.73 23592.15 24976.60 28691.12 27891.69 29983.53 19885.50 20388.81 30866.79 27896.48 27076.65 26890.35 19296.12 151
bset_n11_16_dypcd86.83 22185.55 23190.65 19188.22 34281.70 16788.88 31590.42 32685.26 16385.49 20490.69 27867.11 27397.02 24089.51 10284.39 25993.23 276
v119287.25 20786.33 20590.00 22490.76 30579.04 23993.80 19595.48 17682.57 21985.48 20591.18 26373.38 20597.42 20282.30 19382.06 28593.53 263
WR-MVS88.38 16687.67 16690.52 19793.30 22380.18 20693.26 21995.96 13888.57 7885.47 20692.81 21076.12 15996.91 24781.24 21382.29 28294.47 222
mvs_anonymous89.37 14189.32 12489.51 24393.47 21874.22 30891.65 27094.83 21882.91 21385.45 20793.79 17781.23 10996.36 27986.47 14094.09 14397.94 82
LPG-MVS_test89.45 13588.90 13591.12 17294.47 18081.49 17395.30 9396.14 12586.73 12985.45 20795.16 12269.89 24498.10 14587.70 12289.23 21193.77 254
LGP-MVS_train91.12 17294.47 18081.49 17396.14 12586.73 12985.45 20795.16 12269.89 24498.10 14587.70 12289.23 21193.77 254
Effi-MVS+-dtu88.65 16188.35 14889.54 24093.33 22176.39 29094.47 15094.36 23287.70 10685.43 21089.56 30173.45 20197.26 22185.57 15191.28 18194.97 190
v124086.78 22485.85 22489.56 23990.45 31577.79 26893.61 20395.37 18981.65 24285.43 21091.15 26571.50 22297.43 20181.47 21182.05 28793.47 267
HQP-NCC94.17 19194.39 15788.81 6985.43 210
ACMP_Plane94.17 19194.39 15788.81 6985.43 210
HQP4-MVS85.43 21097.96 16594.51 216
HQP-MVS89.80 12689.28 12691.34 16694.17 19181.56 16994.39 15796.04 13488.81 6985.43 21093.97 16773.83 19697.96 16587.11 13389.77 20294.50 217
CLD-MVS89.47 13488.90 13591.18 17194.22 19082.07 16092.13 25796.09 12887.90 9885.37 21692.45 21974.38 18497.56 19087.15 13190.43 19093.93 241
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
UniMVSNet_ETH3D87.53 19686.37 20291.00 18292.44 24478.96 24094.74 13295.61 16784.07 18585.36 21794.52 14759.78 32797.34 21482.93 18187.88 23396.71 134
v192192086.97 21886.06 21789.69 23790.53 31478.11 25993.80 19595.43 18481.90 23685.33 21891.05 26972.66 21197.41 20782.05 19881.80 29093.53 263
test_djsdf89.03 15088.64 13990.21 21190.74 30679.28 23595.96 6495.90 14484.66 17785.33 21892.94 20474.02 19297.30 21589.64 10088.53 21994.05 237
GA-MVS86.61 22985.27 23990.66 19091.33 28178.71 24290.40 28893.81 25485.34 16185.12 22089.57 30061.25 31597.11 23280.99 21889.59 20596.15 148
PatchmatchNetpermissive85.85 24584.70 25189.29 24691.76 26475.54 29988.49 32091.30 30981.63 24485.05 22188.70 31271.71 21896.24 28374.61 28889.05 21496.08 155
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
EPMVS83.90 27582.70 27787.51 28890.23 31972.67 32488.62 31981.96 36581.37 24985.01 22288.34 31666.31 28594.45 32575.30 28187.12 24295.43 179
PVSNet78.82 1885.55 24984.65 25288.23 27594.72 17071.93 33187.12 33392.75 27278.80 28284.95 22390.53 28164.43 29796.71 25474.74 28693.86 14696.06 157
MDTV_nov1_ep1383.56 26791.69 26869.93 34787.75 32891.54 30378.60 28684.86 22488.90 30769.54 24996.03 29070.25 30988.93 215
IterMVS-LS88.36 16887.91 16289.70 23693.80 20878.29 25593.73 19895.08 20385.73 14984.75 22591.90 24279.88 11996.92 24683.83 17082.51 28093.89 242
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
tpm284.08 27182.94 27387.48 29191.39 27771.27 33589.23 30990.37 32871.95 34384.64 22689.33 30267.30 26996.55 26775.17 28287.09 24394.63 206
XXY-MVS87.65 18786.85 18490.03 22092.14 25080.60 20093.76 19795.23 19482.94 21284.60 22794.02 16374.27 18595.49 31481.04 21583.68 26794.01 239
MDTV_nov1_ep13_2view55.91 37187.62 33173.32 33384.59 22870.33 24074.65 28795.50 175
test-LLR85.87 24485.41 23587.25 29690.95 29471.67 33389.55 30189.88 34083.41 20184.54 22987.95 32267.25 27095.11 32081.82 20393.37 15894.97 190
test-mter84.54 26883.64 26687.25 29690.95 29471.67 33389.55 30189.88 34079.17 27584.54 22987.95 32255.56 33995.11 32081.82 20393.37 15894.97 190
miper_enhance_ethall86.90 21986.18 21189.06 25291.66 26977.58 27590.22 29394.82 21979.16 27684.48 23189.10 30479.19 13096.66 25584.06 16782.94 27592.94 288
BH-untuned88.60 16388.13 15690.01 22395.24 14678.50 24893.29 21794.15 24184.75 17584.46 23293.40 18675.76 16697.40 20977.59 25994.52 13894.12 231
CNLPA89.07 14887.98 15992.34 12496.87 8484.78 8294.08 17993.24 26181.41 24884.46 23295.13 12475.57 17196.62 25777.21 26393.84 14795.61 174
PCF-MVS84.11 1087.74 18486.08 21692.70 10694.02 19684.43 9789.27 30795.87 14773.62 33184.43 23494.33 15178.48 14098.86 9470.27 30894.45 14094.81 201
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
GBi-Net87.26 20585.98 21991.08 17694.01 19783.10 12895.14 10794.94 20783.57 19584.37 23591.64 24766.59 28296.34 28078.23 25385.36 25293.79 250
test187.26 20585.98 21991.08 17694.01 19783.10 12895.14 10794.94 20783.57 19584.37 23591.64 24766.59 28296.34 28078.23 25385.36 25293.79 250
FMVSNet387.40 20286.11 21491.30 16793.79 21083.64 11594.20 17094.81 22083.89 18984.37 23591.87 24368.45 26696.56 26578.23 25385.36 25293.70 259
v14887.04 21786.32 20689.21 24790.94 29677.26 27993.71 20094.43 23084.84 17384.36 23890.80 27576.04 16197.05 23882.12 19679.60 32393.31 271
c3_l87.14 21586.50 20089.04 25392.20 24877.26 27991.22 27794.70 22482.01 23184.34 23990.43 28378.81 13396.61 26083.70 17381.09 30093.25 274
miper_ehance_all_eth87.22 21086.62 19589.02 25492.13 25177.40 27890.91 28194.81 22081.28 25184.32 24090.08 29079.26 12996.62 25783.81 17182.94 27593.04 285
PatchMatch-RL86.77 22785.54 23290.47 20295.88 12182.71 14490.54 28692.31 28179.82 26984.32 24091.57 25468.77 26296.39 27673.16 29693.48 15592.32 307
3Dnovator86.66 591.73 8590.82 9694.44 5194.59 17686.37 4597.18 1197.02 5089.20 6084.31 24296.66 6573.74 19899.17 5386.74 13697.96 7597.79 93
RRT_test8_iter0586.90 21986.36 20388.52 26693.00 23473.27 31894.32 16495.96 13885.50 15784.26 24392.86 20560.76 32097.70 17988.32 11582.29 28294.60 209
jajsoiax88.24 17187.50 16890.48 20090.89 30080.14 20895.31 9095.65 16584.97 17184.24 24494.02 16365.31 29297.42 20288.56 11288.52 22093.89 242
mvs_tets88.06 17787.28 17590.38 20690.94 29679.88 21995.22 10095.66 16385.10 16884.21 24593.94 16863.53 30097.40 20988.50 11388.40 22493.87 245
eth_miper_zixun_eth86.50 23485.77 22888.68 26291.94 25875.81 29790.47 28794.89 21382.05 22884.05 24690.46 28275.96 16296.77 25182.76 18779.36 32593.46 268
3Dnovator+87.14 492.42 7691.37 8495.55 695.63 13088.73 697.07 1796.77 7890.84 1984.02 24796.62 7075.95 16399.34 3687.77 12197.68 8398.59 23
PLCcopyleft84.53 789.06 14988.03 15792.15 13197.27 7782.69 14594.29 16595.44 18379.71 27084.01 24894.18 15976.68 15698.75 10377.28 26293.41 15695.02 189
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
cl2286.78 22485.98 21989.18 24992.34 24677.62 27490.84 28294.13 24381.33 25083.97 24990.15 28873.96 19396.60 26284.19 16682.94 27593.33 270
FMVSNet287.19 21385.82 22591.30 16794.01 19783.67 11494.79 12994.94 20783.57 19583.88 25092.05 23866.59 28296.51 26877.56 26085.01 25593.73 257
DWT-MVSNet_test84.95 26283.68 26488.77 25791.43 27573.75 31291.74 26690.98 31780.66 26083.84 25187.36 33062.44 30697.11 23278.84 24885.81 24995.46 177
anonymousdsp87.84 18087.09 17890.12 21689.13 33180.54 20194.67 13795.55 17082.05 22883.82 25292.12 23171.47 22397.15 22887.15 13187.80 23592.67 295
1112_ss88.42 16587.33 17391.72 15394.92 16080.98 18892.97 23294.54 22778.16 29383.82 25293.88 17378.78 13497.91 16979.45 24089.41 20696.26 146
WR-MVS_H87.80 18287.37 17289.10 25193.23 22478.12 25895.61 8197.30 2987.90 9883.72 25492.01 23979.65 12796.01 29276.36 27080.54 31193.16 280
BH-w/o87.57 19587.05 18089.12 25094.90 16277.90 26392.41 24693.51 25882.89 21483.70 25591.34 25575.75 16797.07 23675.49 27893.49 15392.39 304
ACMP84.23 889.01 15288.35 14890.99 18394.73 16981.27 17995.07 11095.89 14686.48 13383.67 25694.30 15369.33 25297.99 16387.10 13588.55 21893.72 258
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Anonymous2023121186.59 23185.13 24190.98 18596.52 9881.50 17196.14 5296.16 12473.78 32983.65 25792.15 22963.26 30297.37 21382.82 18581.74 29294.06 236
v1087.25 20786.38 20189.85 22791.19 28479.50 22594.48 14795.45 18183.79 19183.62 25891.19 26175.13 17497.42 20281.94 20080.60 30992.63 297
v887.50 19986.71 18989.89 22691.37 27879.40 22894.50 14695.38 18784.81 17483.60 25991.33 25676.05 16097.42 20282.84 18480.51 31592.84 292
cascas86.43 23784.98 24490.80 18892.10 25380.92 19190.24 29195.91 14373.10 33583.57 26088.39 31565.15 29397.46 19784.90 15891.43 18094.03 238
Test_1112_low_res87.65 18786.51 19991.08 17694.94 15979.28 23591.77 26494.30 23576.04 30983.51 26192.37 22177.86 14797.73 17878.69 24989.13 21396.22 147
CP-MVSNet87.63 19087.26 17788.74 26193.12 22776.59 28795.29 9596.58 9888.43 8183.49 26292.98 20375.28 17395.83 30078.97 24681.15 29993.79 250
QAPM89.51 13288.15 15593.59 7594.92 16084.58 8596.82 2896.70 8878.43 28883.41 26396.19 9173.18 20699.30 4277.11 26596.54 10796.89 129
TESTMET0.1,183.74 27682.85 27586.42 31189.96 32471.21 33789.55 30187.88 34977.41 29683.37 26487.31 33156.71 33693.65 33880.62 22592.85 16994.40 223
cl____86.52 23385.78 22688.75 25992.03 25576.46 28890.74 28394.30 23581.83 24083.34 26590.78 27675.74 16996.57 26381.74 20681.54 29493.22 277
DIV-MVS_self_test86.53 23285.78 22688.75 25992.02 25676.45 28990.74 28394.30 23581.83 24083.34 26590.82 27475.75 16796.57 26381.73 20781.52 29593.24 275
PS-CasMVS87.32 20486.88 18288.63 26492.99 23576.33 29295.33 8996.61 9688.22 8983.30 26793.07 20173.03 20895.79 30378.36 25181.00 30593.75 256
gg-mvs-nofinetune81.77 29079.37 30388.99 25590.85 30277.73 27186.29 33779.63 36974.88 32283.19 26869.05 36360.34 32296.11 28875.46 27994.64 13593.11 282
XVG-ACMP-BASELINE86.00 24184.84 24989.45 24491.20 28378.00 26091.70 26895.55 17085.05 17082.97 26992.25 22754.49 34597.48 19582.93 18187.45 23892.89 290
LS3D87.89 17986.32 20692.59 11196.07 11382.92 13695.23 9994.92 21275.66 31182.89 27095.98 9772.48 21499.21 5068.43 32295.23 12995.64 173
PEN-MVS86.80 22386.27 20988.40 26892.32 24775.71 29895.18 10496.38 11087.97 9582.82 27193.15 19773.39 20495.92 29576.15 27479.03 32893.59 261
FMVSNet185.85 24584.11 25891.08 17692.81 23883.10 12895.14 10794.94 20781.64 24382.68 27291.64 24759.01 33196.34 28075.37 28083.78 26493.79 250
RPSCF85.07 25984.27 25687.48 29192.91 23770.62 34391.69 26992.46 27776.20 30882.67 27395.22 12063.94 29997.29 21877.51 26185.80 25094.53 214
Fast-Effi-MVS+-dtu87.44 20086.72 18889.63 23892.04 25477.68 27294.03 18493.94 24685.81 14682.42 27491.32 25870.33 24097.06 23780.33 23190.23 19394.14 230
v7n86.81 22285.76 22989.95 22590.72 30779.25 23795.07 11095.92 14184.45 18082.29 27590.86 27272.60 21397.53 19279.42 24380.52 31493.08 284
DTE-MVSNet86.11 24085.48 23487.98 28091.65 27074.92 30294.93 11995.75 15687.36 11582.26 27693.04 20272.85 20995.82 30174.04 29077.46 33493.20 278
ADS-MVSNet281.66 29379.71 30187.50 28991.35 27974.19 30983.33 35288.48 34872.90 33782.24 27785.77 34264.98 29493.20 34364.57 34283.74 26595.12 186
ADS-MVSNet81.56 29579.78 29986.90 30591.35 27971.82 33283.33 35289.16 34672.90 33782.24 27785.77 34264.98 29493.76 33664.57 34283.74 26595.12 186
JIA-IIPM81.04 30178.98 31187.25 29688.64 33573.48 31681.75 35789.61 34473.19 33482.05 27973.71 36066.07 28995.87 29871.18 30584.60 25892.41 303
F-COLMAP87.95 17886.80 18691.40 16496.35 10380.88 19294.73 13395.45 18179.65 27182.04 28094.61 14371.13 22598.50 11576.24 27391.05 18694.80 202
PAPM86.68 22885.39 23690.53 19593.05 23079.33 23489.79 30094.77 22378.82 28181.95 28193.24 19476.81 15297.30 21566.94 33193.16 16294.95 196
DP-MVS87.25 20785.36 23892.90 9497.65 6183.24 12594.81 12892.00 29074.99 31981.92 28295.00 12772.66 21199.05 6366.92 33392.33 17596.40 141
pm-mvs186.61 22985.54 23289.82 22991.44 27280.18 20695.28 9794.85 21683.84 19081.66 28392.62 21572.45 21696.48 27079.67 23878.06 32992.82 293
MVS87.44 20086.10 21591.44 16392.61 24283.62 11692.63 24095.66 16367.26 35481.47 28492.15 22977.95 14498.22 13979.71 23795.48 12092.47 301
IterMVS-SCA-FT85.45 25084.53 25588.18 27691.71 26676.87 28490.19 29492.65 27585.40 16081.44 28590.54 28066.79 27895.00 32381.04 21581.05 30192.66 296
CHOSEN 280x42085.15 25883.99 26088.65 26392.47 24378.40 25179.68 36092.76 27174.90 32181.41 28689.59 29969.85 24695.51 31179.92 23695.29 12692.03 311
miper_lstm_enhance85.27 25684.59 25487.31 29391.28 28274.63 30387.69 32994.09 24581.20 25581.36 28789.85 29674.97 17894.30 32981.03 21779.84 32293.01 286
Patchmtry82.71 28280.93 28888.06 27990.05 32276.37 29184.74 34791.96 29472.28 34281.32 28887.87 32571.03 22795.50 31368.97 31880.15 31792.32 307
dp81.47 29780.23 29485.17 32389.92 32565.49 36086.74 33490.10 33376.30 30681.10 28987.12 33562.81 30495.92 29568.13 32579.88 32094.09 234
tfpnnormal84.72 26683.23 27089.20 24892.79 23980.05 21394.48 14795.81 15182.38 22281.08 29091.21 26069.01 25996.95 24461.69 35080.59 31090.58 337
IterMVS84.88 26383.98 26187.60 28691.44 27276.03 29490.18 29592.41 27883.24 20681.06 29190.42 28466.60 28194.28 33079.46 23980.98 30692.48 300
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OpenMVScopyleft83.78 1188.74 15987.29 17493.08 8592.70 24085.39 7696.57 3396.43 10678.74 28480.85 29296.07 9569.64 24899.01 7378.01 25696.65 10494.83 200
pmmvs485.43 25183.86 26290.16 21390.02 32382.97 13590.27 28992.67 27475.93 31080.73 29391.74 24671.05 22695.73 30578.85 24783.46 27191.78 314
MIMVSNet82.59 28480.53 28988.76 25891.51 27178.32 25386.57 33690.13 33279.32 27280.70 29488.69 31352.98 35193.07 34566.03 33688.86 21694.90 197
IB-MVS80.51 1585.24 25783.26 26991.19 17092.13 25179.86 22091.75 26591.29 31083.28 20580.66 29588.49 31461.28 31498.46 11880.99 21879.46 32495.25 184
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
GG-mvs-BLEND87.94 28289.73 32877.91 26287.80 32678.23 37180.58 29683.86 34759.88 32695.33 31771.20 30392.22 17690.60 336
EU-MVSNet81.32 29980.95 28782.42 33788.50 33763.67 36393.32 21291.33 30864.02 35880.57 29792.83 20861.21 31792.27 35076.34 27180.38 31691.32 322
tpmvs83.35 28082.07 27887.20 30091.07 29071.00 34088.31 32391.70 29878.91 27880.49 29887.18 33469.30 25597.08 23568.12 32683.56 26993.51 266
MVS_030483.46 27781.92 28088.10 27890.63 31077.49 27693.26 21993.75 25580.04 26680.44 29987.24 33347.94 35995.55 30875.79 27688.16 22791.26 324
pmmvs584.21 27082.84 27688.34 27188.95 33376.94 28392.41 24691.91 29675.63 31280.28 30091.18 26364.59 29695.57 30777.09 26683.47 27092.53 299
tpm cat181.96 28780.27 29387.01 30291.09 28971.02 33987.38 33291.53 30466.25 35580.17 30186.35 33868.22 26896.15 28769.16 31782.29 28293.86 247
MS-PatchMatch85.05 26084.16 25787.73 28491.42 27678.51 24791.25 27693.53 25777.50 29580.15 30291.58 25261.99 30995.51 31175.69 27794.35 14289.16 347
131487.51 19786.57 19790.34 20992.42 24579.74 22392.63 24095.35 19178.35 28980.14 30391.62 25174.05 19197.15 22881.05 21493.53 15294.12 231
ITE_SJBPF88.24 27491.88 26077.05 28292.92 26785.54 15580.13 30493.30 19157.29 33596.20 28472.46 29984.71 25791.49 319
D2MVS85.90 24385.09 24288.35 27090.79 30377.42 27791.83 26395.70 15980.77 25980.08 30590.02 29166.74 28096.37 27781.88 20287.97 23291.26 324
NR-MVSNet88.58 16487.47 17091.93 14293.04 23184.16 10294.77 13196.25 11789.05 6480.04 30693.29 19279.02 13197.05 23881.71 20880.05 31894.59 210
baseline286.50 23485.39 23689.84 22891.12 28876.70 28591.88 26188.58 34782.35 22479.95 30790.95 27173.42 20397.63 18680.27 23289.95 19895.19 185
test0.0.03 182.41 28581.69 28184.59 32688.23 34172.89 32190.24 29187.83 35083.41 20179.86 30889.78 29767.25 27088.99 36165.18 33983.42 27291.90 313
CL-MVSNet_self_test81.74 29180.53 28985.36 32085.96 35372.45 32990.25 29093.07 26581.24 25379.85 30987.29 33270.93 22992.52 34866.95 33069.23 35191.11 330
TransMVSNet (Re)84.43 26983.06 27288.54 26591.72 26578.44 24995.18 10492.82 27082.73 21679.67 31092.12 23173.49 20095.96 29471.10 30768.73 35591.21 326
LTVRE_ROB82.13 1386.26 23984.90 24790.34 20994.44 18481.50 17192.31 25294.89 21383.03 20979.63 31192.67 21369.69 24797.79 17271.20 30386.26 24791.72 315
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
OurMVSNet-221017-085.35 25384.64 25387.49 29090.77 30472.59 32794.01 18694.40 23184.72 17679.62 31293.17 19661.91 31096.72 25281.99 19981.16 29793.16 280
EPNet_dtu86.49 23685.94 22288.14 27790.24 31872.82 32294.11 17592.20 28486.66 13279.42 31392.36 22273.52 19995.81 30271.26 30293.66 14895.80 168
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
LCM-MVSNet-Re88.30 17088.32 15188.27 27294.71 17172.41 33093.15 22390.98 31787.77 10479.25 31491.96 24078.35 14195.75 30483.04 17995.62 11796.65 135
pmmvs683.42 27881.60 28288.87 25688.01 34577.87 26594.96 11694.24 23874.67 32378.80 31591.09 26860.17 32496.49 26977.06 26775.40 34192.23 309
MVP-Stereo85.97 24284.86 24889.32 24590.92 29882.19 15692.11 25894.19 23978.76 28378.77 31691.63 25068.38 26796.56 26575.01 28593.95 14489.20 346
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MSDG84.86 26483.09 27190.14 21593.80 20880.05 21389.18 31093.09 26478.89 27978.19 31791.91 24165.86 29197.27 21968.47 32188.45 22293.11 282
testgi80.94 30480.20 29583.18 33387.96 34666.29 35791.28 27490.70 32583.70 19278.12 31892.84 20751.37 35390.82 35763.34 34582.46 28192.43 302
ACMH+81.04 1485.05 26083.46 26889.82 22994.66 17479.37 22994.44 15294.12 24482.19 22678.04 31992.82 20958.23 33397.54 19173.77 29382.90 27892.54 298
COLMAP_ROBcopyleft80.39 1683.96 27282.04 27989.74 23395.28 14379.75 22294.25 16792.28 28275.17 31778.02 32093.77 17958.60 33297.84 17165.06 34185.92 24891.63 317
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ppachtmachnet_test81.84 28980.07 29787.15 30188.46 33874.43 30789.04 31392.16 28575.33 31577.75 32188.99 30566.20 28695.37 31665.12 34077.60 33291.65 316
Anonymous2023120681.03 30279.77 30084.82 32587.85 34770.26 34591.42 27392.08 28773.67 33077.75 32189.25 30362.43 30793.08 34461.50 35182.00 28891.12 329
SixPastTwentyTwo83.91 27482.90 27486.92 30490.99 29270.67 34293.48 20791.99 29185.54 15577.62 32392.11 23360.59 32196.87 24976.05 27577.75 33193.20 278
ACMH80.38 1785.36 25283.68 26490.39 20494.45 18380.63 19894.73 13394.85 21682.09 22777.24 32492.65 21460.01 32597.58 18872.25 30084.87 25692.96 287
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Patchmatch-RL test81.67 29279.96 29886.81 30885.42 35771.23 33682.17 35687.50 35378.47 28777.19 32582.50 35370.81 23193.48 33982.66 18872.89 34595.71 172
KD-MVS_2432*160078.50 31876.02 32385.93 31586.22 35174.47 30584.80 34592.33 27979.29 27376.98 32685.92 34053.81 34993.97 33367.39 32857.42 36389.36 342
miper_refine_blended78.50 31876.02 32385.93 31586.22 35174.47 30584.80 34592.33 27979.29 27376.98 32685.92 34053.81 34993.97 33367.39 32857.42 36389.36 342
our_test_381.93 28880.46 29186.33 31288.46 33873.48 31688.46 32191.11 31276.46 30276.69 32888.25 31866.89 27694.36 32768.75 31979.08 32791.14 328
Patchmatch-test81.37 29879.30 30487.58 28790.92 29874.16 31080.99 35887.68 35270.52 34976.63 32988.81 30871.21 22492.76 34760.01 35686.93 24595.83 166
KD-MVS_self_test80.20 30879.24 30583.07 33485.64 35665.29 36191.01 28093.93 24778.71 28576.32 33086.40 33759.20 33092.93 34672.59 29869.35 35091.00 332
FMVSNet581.52 29679.60 30287.27 29491.17 28577.95 26191.49 27292.26 28376.87 30176.16 33187.91 32451.67 35292.34 34967.74 32781.16 29791.52 318
AllTest83.42 27881.39 28489.52 24195.01 15377.79 26893.12 22490.89 32177.41 29676.12 33293.34 18754.08 34797.51 19368.31 32384.27 26193.26 272
TestCases89.52 24195.01 15377.79 26890.89 32177.41 29676.12 33293.34 18754.08 34797.51 19368.31 32384.27 26193.26 272
test_040281.30 30079.17 30887.67 28593.19 22578.17 25792.98 23191.71 29775.25 31676.02 33490.31 28559.23 32996.37 27750.22 36383.63 26888.47 353
DSMNet-mixed76.94 32276.29 32178.89 34083.10 36356.11 37087.78 32779.77 36860.65 36075.64 33588.71 31161.56 31288.34 36260.07 35589.29 21092.21 310
Anonymous2024052180.44 30679.21 30684.11 33185.75 35567.89 35392.86 23593.23 26275.61 31375.59 33687.47 32950.03 35494.33 32871.14 30681.21 29690.12 339
USDC82.76 28181.26 28687.26 29591.17 28574.55 30489.27 30793.39 26078.26 29175.30 33792.08 23554.43 34696.63 25671.64 30185.79 25190.61 334
TDRefinement79.81 31177.34 31587.22 29979.24 36775.48 30093.12 22492.03 28976.45 30375.01 33891.58 25249.19 35796.44 27470.22 31169.18 35289.75 341
LF4IMVS80.37 30779.07 31084.27 33086.64 34969.87 34889.39 30691.05 31576.38 30474.97 33990.00 29247.85 36094.25 33174.55 28980.82 30888.69 351
PM-MVS78.11 32076.12 32284.09 33283.54 36270.08 34688.97 31485.27 35779.93 26774.73 34086.43 33634.70 36793.48 33979.43 24272.06 34788.72 350
OpenMVS_ROBcopyleft74.94 1979.51 31377.03 31986.93 30387.00 34876.23 29392.33 25090.74 32468.93 35274.52 34188.23 31949.58 35696.62 25757.64 35884.29 26087.94 355
test20.0379.95 31079.08 30982.55 33685.79 35467.74 35591.09 27991.08 31381.23 25474.48 34289.96 29461.63 31190.15 35860.08 35476.38 33889.76 340
ambc83.06 33579.99 36663.51 36477.47 36192.86 26874.34 34384.45 34628.74 36895.06 32273.06 29768.89 35490.61 334
PVSNet_073.20 2077.22 32174.83 32684.37 32890.70 30871.10 33883.09 35489.67 34372.81 33973.93 34483.13 35160.79 31993.70 33768.54 32050.84 36688.30 354
pmmvs-eth3d80.97 30378.72 31287.74 28384.99 35979.97 21890.11 29691.65 30075.36 31473.51 34586.03 33959.45 32893.96 33575.17 28272.21 34689.29 345
K. test v381.59 29480.15 29685.91 31789.89 32669.42 34992.57 24387.71 35185.56 15473.44 34689.71 29855.58 33895.52 31077.17 26469.76 34992.78 294
EG-PatchMatch MVS82.37 28680.34 29288.46 26790.27 31779.35 23092.80 23794.33 23477.14 30073.26 34790.18 28747.47 36196.72 25270.25 30987.32 24189.30 344
lessismore_v086.04 31388.46 33868.78 35180.59 36773.01 34890.11 28955.39 34096.43 27575.06 28465.06 35792.90 289
MIMVSNet179.38 31477.28 31685.69 31886.35 35073.67 31391.61 27192.75 27278.11 29472.64 34988.12 32048.16 35891.97 35360.32 35377.49 33391.43 321
ET-MVSNet_ETH3D87.51 19785.91 22392.32 12593.70 21383.93 10692.33 25090.94 31984.16 18272.09 35092.52 21769.90 24395.85 29989.20 10588.36 22597.17 116
TinyColmap79.76 31277.69 31485.97 31491.71 26673.12 31989.55 30190.36 32975.03 31872.03 35190.19 28646.22 36296.19 28663.11 34681.03 30288.59 352
N_pmnet68.89 32868.44 33170.23 34789.07 33228.79 37988.06 32419.50 38069.47 35171.86 35284.93 34461.24 31691.75 35454.70 36077.15 33590.15 338
UnsupCasMVSNet_eth80.07 30978.27 31385.46 31985.24 35872.63 32688.45 32294.87 21582.99 21171.64 35388.07 32156.34 33791.75 35473.48 29563.36 36092.01 312
new-patchmatchnet76.41 32375.17 32580.13 33982.65 36559.61 36587.66 33091.08 31378.23 29269.85 35483.22 35054.76 34391.63 35664.14 34464.89 35889.16 347
MVS-HIRNet73.70 32572.20 32878.18 34391.81 26356.42 36982.94 35582.58 36355.24 36268.88 35566.48 36455.32 34195.13 31958.12 35788.42 22383.01 358
UnsupCasMVSNet_bld76.23 32473.27 32785.09 32483.79 36172.92 32085.65 34293.47 25971.52 34468.84 35679.08 35749.77 35593.21 34266.81 33560.52 36289.13 349
pmmvs371.81 32768.71 33081.11 33875.86 36870.42 34486.74 33483.66 36158.95 36168.64 35780.89 35536.93 36689.52 36063.10 34763.59 35983.39 357
CMPMVSbinary59.16 2180.52 30579.20 30784.48 32783.98 36067.63 35689.95 29993.84 25364.79 35766.81 35891.14 26657.93 33495.17 31876.25 27288.10 22890.65 333
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
new_pmnet72.15 32670.13 32978.20 34282.95 36465.68 35883.91 35082.40 36462.94 35964.47 35979.82 35642.85 36486.26 36457.41 35974.44 34282.65 360
YYNet179.22 31577.20 31785.28 32288.20 34472.66 32585.87 33990.05 33674.33 32662.70 36087.61 32766.09 28892.03 35166.94 33172.97 34491.15 327
MDA-MVSNet_test_wron79.21 31677.19 31885.29 32188.22 34272.77 32385.87 33990.06 33474.34 32562.62 36187.56 32866.14 28791.99 35266.90 33473.01 34391.10 331
MDA-MVSNet-bldmvs78.85 31776.31 32086.46 30989.76 32773.88 31188.79 31690.42 32679.16 27659.18 36288.33 31760.20 32394.04 33262.00 34968.96 35391.48 320
LCM-MVSNet66.00 32962.16 33377.51 34464.51 37458.29 36683.87 35190.90 32048.17 36554.69 36373.31 36116.83 37786.75 36365.47 33761.67 36187.48 356
FPMVS64.63 33062.55 33270.88 34670.80 37056.71 36784.42 34884.42 35951.78 36449.57 36481.61 35423.49 37181.48 36740.61 36876.25 33974.46 363
PMMVS259.60 33256.40 33469.21 34868.83 37146.58 37473.02 36577.48 37255.07 36349.21 36572.95 36217.43 37680.04 36849.32 36444.33 36880.99 362
DeepMVS_CXcopyleft56.31 35374.23 36951.81 37256.67 37844.85 36648.54 36675.16 35827.87 37058.74 37440.92 36752.22 36558.39 367
test_method50.52 33648.47 33856.66 35252.26 37818.98 38141.51 37081.40 36610.10 37244.59 36775.01 35928.51 36968.16 37053.54 36149.31 36782.83 359
Gipumacopyleft57.99 33454.91 33667.24 34988.51 33665.59 35952.21 36890.33 33043.58 36742.84 36851.18 36920.29 37485.07 36534.77 36970.45 34851.05 368
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
ANet_high58.88 33354.22 33772.86 34556.50 37756.67 36880.75 35986.00 35473.09 33637.39 36964.63 36622.17 37279.49 36943.51 36623.96 37182.43 361
tmp_tt35.64 34039.24 34224.84 35614.87 38023.90 38062.71 36651.51 3796.58 37436.66 37062.08 36744.37 36330.34 37652.40 36222.00 37320.27 371
PMVScopyleft47.18 2252.22 33548.46 33963.48 35045.72 37946.20 37573.41 36478.31 37041.03 36830.06 37165.68 3656.05 37883.43 36630.04 37065.86 35660.80 365
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive39.65 2343.39 33738.59 34357.77 35156.52 37648.77 37355.38 36758.64 37729.33 37128.96 37252.65 3684.68 37964.62 37328.11 37133.07 36959.93 366
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN43.23 33842.29 34046.03 35465.58 37337.41 37673.51 36364.62 37433.99 36928.47 37347.87 37019.90 37567.91 37122.23 37224.45 37032.77 369
EMVS42.07 33941.12 34144.92 35563.45 37535.56 37873.65 36263.48 37533.05 37026.88 37445.45 37121.27 37367.14 37219.80 37323.02 37232.06 370
wuyk23d21.27 34220.48 34523.63 35768.59 37236.41 37749.57 3696.85 3819.37 3737.89 3754.46 3774.03 38031.37 37517.47 37416.07 3743.12 372
testmvs8.92 34311.52 3461.12 3591.06 3810.46 38386.02 3380.65 3820.62 3752.74 3769.52 3750.31 3820.45 3782.38 3750.39 3752.46 374
test1238.76 34411.22 3471.39 3580.85 3820.97 38285.76 3410.35 3830.54 3762.45 3778.14 3760.60 3810.48 3772.16 3760.17 3762.71 373
EGC-MVSNET61.97 33156.37 33578.77 34189.63 32973.50 31589.12 31182.79 3620.21 3771.24 37884.80 34539.48 36590.04 35944.13 36575.94 34072.79 364
test_blank0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
uanet_test0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
cdsmvs_eth3d_5k22.14 34129.52 3440.00 3600.00 3830.00 3840.00 37195.76 1550.00 3780.00 37994.29 15475.66 1700.00 3790.00 3770.00 3770.00 375
pcd_1.5k_mvsjas6.64 3468.86 3490.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 37879.70 1230.00 3790.00 3770.00 3770.00 375
sosnet-low-res0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
sosnet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
uncertanet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
Regformer0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
ab-mvs-re7.82 34510.43 3480.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 37993.88 1730.00 3830.00 3790.00 3770.00 3770.00 375
uanet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
MSC_two_6792asdad96.52 197.78 5790.86 196.85 6799.61 396.03 199.06 999.07 5
No_MVS96.52 197.78 5790.86 196.85 6799.61 396.03 199.06 999.07 5
eth-test20.00 383
eth-test0.00 383
OPU-MVS96.21 398.00 4690.85 397.13 1397.08 4392.59 298.94 8792.25 5398.99 1498.84 13
save fliter97.85 5085.63 7295.21 10196.82 7389.44 52
test_0728_SECOND95.01 1798.79 286.43 4397.09 1597.49 599.61 395.62 899.08 798.99 8
GSMVS96.12 151
sam_mvs171.70 21996.12 151
sam_mvs70.60 233
MTGPAbinary96.97 53
test_post188.00 3259.81 37469.31 25495.53 30976.65 268
test_post10.29 37370.57 23795.91 297
patchmatchnet-post83.76 34871.53 22196.48 270
MTMP96.16 4960.64 376
gm-plane-assit89.60 33068.00 35277.28 29988.99 30597.57 18979.44 241
test9_res91.91 6898.71 3498.07 73
agg_prior290.54 9398.68 3998.27 55
test_prior485.96 6094.11 175
test_prior93.82 6797.29 7584.49 9096.88 6498.87 9198.11 71
新几何293.11 226
旧先验196.79 8681.81 16595.67 16196.81 5786.69 4297.66 8496.97 125
无先验93.28 21896.26 11573.95 32899.05 6380.56 22696.59 137
原ACMM292.94 233
testdata298.75 10378.30 252
segment_acmp87.16 39
testdata192.15 25687.94 96
plane_prior794.70 17282.74 141
plane_prior694.52 17882.75 13974.23 186
plane_prior596.22 12098.12 14388.15 11689.99 19594.63 206
plane_prior494.86 132
plane_prior295.85 6890.81 20
plane_prior194.59 176
plane_prior82.73 14295.21 10189.66 4989.88 200
n20.00 384
nn0.00 384
door-mid85.49 355
test1196.57 99
door85.33 356
HQP5-MVS81.56 169
BP-MVS87.11 133
HQP3-MVS96.04 13489.77 202
HQP2-MVS73.83 196
NP-MVS94.37 18682.42 15193.98 166
ACMMP++_ref87.47 236
ACMMP++88.01 231
Test By Simon80.02 118