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
SD-MVS97.41 697.53 297.06 5498.57 4994.46 1397.92 3898.14 3794.82 2099.01 198.55 994.18 397.41 25596.94 499.64 399.32 41
TSAR-MVS + MP.97.42 597.33 697.69 2699.25 1894.24 2098.07 3497.85 8493.72 4598.57 298.35 2293.69 799.40 8597.06 299.46 2399.44 30
HSP-MVS97.53 497.49 497.63 3299.40 593.77 3798.53 997.85 8495.55 598.56 397.81 5893.90 499.65 3796.62 1299.21 4799.48 26
APDe-MVS97.82 197.73 198.08 799.15 2394.82 1098.81 298.30 2294.76 2398.30 498.90 193.77 699.68 3397.93 199.69 199.75 1
SteuartSystems-ACMMP97.62 397.53 297.87 1298.39 5794.25 1998.43 1698.27 2495.34 898.11 598.56 794.53 199.71 2696.57 1599.62 599.65 3
Skip Steuart: Steuart Systems R&D Blog.
APD-MVScopyleft96.95 2296.60 2798.01 899.03 2794.93 997.72 5498.10 4491.50 10098.01 698.32 3092.33 2199.58 5394.85 5799.51 1799.53 20
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
DeepPCF-MVS93.97 196.61 3597.09 795.15 12998.09 7886.63 23296.00 20598.15 3595.43 797.95 798.56 793.40 899.36 8996.77 1099.48 2299.45 28
ACMMP_Plus97.20 996.86 1698.23 399.09 2495.16 697.60 6698.19 3192.82 7697.93 898.74 391.60 3699.86 696.26 1999.52 1599.67 2
CNVR-MVS97.68 297.44 598.37 298.90 3095.86 297.27 9198.08 4795.81 397.87 998.31 3194.26 299.68 3397.02 399.49 2199.57 11
VNet95.89 5395.45 5197.21 5098.07 7992.94 5797.50 7398.15 3593.87 4197.52 1097.61 7585.29 10899.53 6895.81 3595.27 14199.16 50
Regformer-297.16 1296.99 1097.67 2798.32 6393.84 3296.83 12998.10 4495.24 997.49 1198.25 3792.57 1799.61 4496.80 799.29 4199.56 13
Regformer-197.10 1496.96 1297.54 3598.32 6393.48 4396.83 12997.99 7395.20 1197.46 1298.25 3792.48 2099.58 5396.79 999.29 4199.55 15
APD-MVS_3200maxsize96.81 2796.71 2597.12 5399.01 2892.31 7097.98 3698.06 5493.11 6497.44 1398.55 990.93 4599.55 6396.06 2899.25 4499.51 21
TSAR-MVS + GP.96.69 3296.49 3197.27 4598.31 6593.39 4596.79 13696.72 19394.17 3597.44 1397.66 6892.76 1199.33 9096.86 697.76 9299.08 59
旧先验295.94 20781.66 28197.34 1598.82 12492.26 94
MSLP-MVS++96.94 2397.06 896.59 6698.72 3591.86 8697.67 5798.49 1294.66 2697.24 1698.41 1992.31 2498.94 11496.61 1399.46 2398.96 68
abl_696.40 4096.21 4096.98 5798.89 3192.20 7597.89 3998.03 6393.34 5697.22 1798.42 1687.93 7799.72 2595.10 4999.07 5899.02 61
HFP-MVS97.14 1396.92 1497.83 1399.42 394.12 2498.52 1098.32 1993.21 5897.18 1898.29 3492.08 2699.83 1395.63 3899.59 799.54 17
#test#97.02 1996.75 2497.83 1399.42 394.12 2498.15 2998.32 1992.57 8197.18 1898.29 3492.08 2699.83 1395.12 4899.59 799.54 17
ACMMPR97.07 1696.84 1797.79 1799.44 293.88 3098.52 1098.31 2193.21 5897.15 2098.33 2891.35 3999.86 695.63 3899.59 799.62 5
region2R97.07 1696.84 1797.77 2099.46 193.79 3498.52 1098.24 2693.19 6197.14 2198.34 2591.59 3799.87 595.46 4399.59 799.64 4
Regformer-496.97 2196.87 1597.25 4698.34 6092.66 6396.96 11698.01 6695.12 1297.14 2198.42 1691.82 3299.61 4496.90 599.13 5399.50 22
PGM-MVS96.81 2796.53 3097.65 2899.35 1393.53 4297.65 6098.98 192.22 8697.14 2198.44 1491.17 4199.85 994.35 6599.46 2399.57 11
PHI-MVS96.77 2996.46 3397.71 2598.40 5594.07 2698.21 2898.45 1589.86 14097.11 2498.01 4692.52 1999.69 3196.03 3099.53 1499.36 39
NCCC97.30 897.03 998.11 698.77 3395.06 897.34 8598.04 6195.96 297.09 2597.88 5193.18 999.71 2695.84 3499.17 4999.56 13
Regformer-396.85 2696.80 2197.01 5598.34 6092.02 8096.96 11697.76 8795.01 1597.08 2698.42 1691.71 3399.54 6596.80 799.13 5399.48 26
testdata95.46 12398.18 7688.90 16897.66 9982.73 27497.03 2798.07 4290.06 5598.85 12289.67 13898.98 6298.64 90
HPM-MVS_fast96.51 3796.27 3897.22 4999.32 1592.74 6098.74 498.06 5490.57 13196.77 2898.35 2290.21 5499.53 6894.80 6099.63 499.38 37
xiu_mvs_v1_base_debu95.01 6894.76 6495.75 10696.58 12491.71 8796.25 18997.35 13892.99 6796.70 2996.63 11882.67 15799.44 8096.22 2197.46 9696.11 176
xiu_mvs_v1_base95.01 6894.76 6495.75 10696.58 12491.71 8796.25 18997.35 13892.99 6796.70 2996.63 11882.67 15799.44 8096.22 2197.46 9696.11 176
xiu_mvs_v1_base_debi95.01 6894.76 6495.75 10696.58 12491.71 8796.25 18997.35 13892.99 6796.70 2996.63 11882.67 15799.44 8096.22 2197.46 9696.11 176
CDPH-MVS95.97 5195.38 5397.77 2098.93 2994.44 1496.35 17897.88 7886.98 22396.65 3297.89 4991.99 3099.47 7692.26 9499.46 2399.39 34
UA-Net95.95 5295.53 5097.20 5197.67 9192.98 5697.65 6098.13 3894.81 2196.61 3398.35 2288.87 6499.51 7290.36 13197.35 10399.11 57
HPM-MVS++97.34 796.97 1198.47 199.08 2596.16 197.55 7097.97 7595.59 496.61 3397.89 4992.57 1799.84 1295.95 3199.51 1799.40 33
XVS97.18 1096.96 1297.81 1599.38 894.03 2898.59 798.20 2994.85 1696.59 3598.29 3491.70 3499.80 1795.66 3699.40 3099.62 5
X-MVStestdata91.71 16089.67 21397.81 1599.38 894.03 2898.59 798.20 2994.85 1696.59 3532.69 32991.70 3499.80 1795.66 3699.40 3099.62 5
DeepC-MVS_fast93.89 296.93 2496.64 2697.78 1898.64 4494.30 1797.41 7998.04 6194.81 2196.59 3598.37 2191.24 4099.64 4295.16 4699.52 1599.42 32
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PS-MVSNAJ95.37 5995.33 5595.49 11997.35 9990.66 12495.31 23597.48 11593.85 4296.51 3895.70 16588.65 6899.65 3794.80 6098.27 7796.17 171
EI-MVSNet-Vis-set96.51 3796.47 3296.63 6398.24 6991.20 10596.89 12697.73 9094.74 2496.49 3998.49 1190.88 4799.58 5396.44 1798.32 7699.13 54
alignmvs95.87 5495.23 5797.78 1897.56 9795.19 597.86 4197.17 14894.39 3196.47 4096.40 13185.89 10299.20 9696.21 2495.11 14398.95 70
xiu_mvs_v2_base95.32 6195.29 5695.40 12597.22 10190.50 12795.44 23097.44 12793.70 4796.46 4196.18 13888.59 7199.53 6894.79 6297.81 8996.17 171
CP-MVS97.02 1996.81 2097.64 3099.33 1493.54 4198.80 398.28 2392.99 6796.45 4298.30 3391.90 3199.85 995.61 4099.68 299.54 17
HPM-MVS96.69 3296.45 3497.40 3799.36 1293.11 5198.87 198.06 5491.17 11196.40 4397.99 4790.99 4499.58 5395.61 4099.61 699.49 24
LFMVS93.60 10892.63 11996.52 6798.13 7791.27 10297.94 3793.39 30190.57 13196.29 4498.31 3169.00 28399.16 10194.18 6695.87 13399.12 56
canonicalmvs96.02 5095.45 5197.75 2297.59 9595.15 798.28 2297.60 10494.52 2896.27 4596.12 14187.65 8199.18 9996.20 2594.82 14798.91 74
MVSFormer95.37 5995.16 5995.99 9896.34 13891.21 10398.22 2697.57 10791.42 10496.22 4697.32 8686.20 9897.92 21694.07 6799.05 5998.85 79
lupinMVS94.99 7294.56 7096.29 8796.34 13891.21 10395.83 21296.27 21288.93 17096.22 4696.88 10286.20 9898.85 12295.27 4499.05 5998.82 82
EI-MVSNet-UG-set96.34 4196.30 3796.47 7498.20 7390.93 11696.86 12797.72 9394.67 2596.16 4898.46 1290.43 5199.58 5396.23 2097.96 8598.90 75
MPTG97.07 1696.77 2397.97 1099.37 1094.42 1597.15 10598.08 4795.07 1396.11 4998.59 590.88 4799.90 196.18 2699.50 1999.58 9
MTAPA97.08 1596.78 2297.97 1099.37 1094.42 1597.24 9398.08 4795.07 1396.11 4998.59 590.88 4799.90 196.18 2699.50 1999.58 9
MCST-MVS97.18 1096.84 1798.20 499.30 1695.35 397.12 10798.07 5293.54 5196.08 5197.69 6593.86 599.71 2696.50 1699.39 3299.55 15
TEST998.70 3694.19 2196.41 17098.02 6488.17 19696.03 5297.56 8092.74 1299.59 49
train_agg96.30 4295.83 4697.72 2398.70 3694.19 2196.41 17098.02 6488.58 18196.03 5297.56 8092.73 1399.59 4995.04 5099.37 3799.39 34
test_prior396.46 3996.20 4197.23 4798.67 3892.99 5496.35 17898.00 6892.80 7796.03 5297.59 7692.01 2899.41 8395.01 5299.38 3399.29 43
test_prior296.35 17892.80 7796.03 5297.59 7692.01 2895.01 5299.38 33
jason94.84 7794.39 7896.18 9295.52 16990.93 11696.09 19896.52 20489.28 15296.01 5697.32 8684.70 11698.77 12995.15 4798.91 6598.85 79
jason: jason.
test_898.67 3894.06 2796.37 17798.01 6688.58 18195.98 5797.55 8292.73 1399.58 53
mPP-MVS96.86 2596.60 2797.64 3099.40 593.44 4498.50 1398.09 4693.27 5795.95 5898.33 2891.04 4399.88 395.20 4599.57 1199.60 8
DELS-MVS96.61 3596.38 3697.30 4297.79 8793.19 4995.96 20698.18 3395.23 1095.87 5997.65 6991.45 3899.70 3095.87 3299.44 2799.00 66
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
VDD-MVS93.82 10193.08 10596.02 9697.88 8689.96 13997.72 5495.85 23492.43 8395.86 6098.44 1468.42 28799.39 8696.31 1894.85 14598.71 87
MVS_111021_HR96.68 3496.58 2996.99 5698.46 5192.31 7096.20 19498.90 294.30 3395.86 6097.74 6392.33 2199.38 8896.04 2999.42 2899.28 45
agg_prior396.16 4795.67 4897.62 3398.67 3893.88 3096.41 17098.00 6887.93 20095.81 6297.47 8492.33 2199.59 4995.04 5099.37 3799.39 34
MVS_111021_LR96.24 4496.19 4296.39 7998.23 7291.35 10096.24 19298.79 493.99 3995.80 6397.65 6989.92 5899.24 9595.87 3299.20 4898.58 91
VDDNet93.05 12592.07 13396.02 9696.84 11590.39 13098.08 3395.85 23486.22 23795.79 6498.46 1267.59 29099.19 9794.92 5694.85 14598.47 104
新几何197.32 4198.60 4593.59 4097.75 8881.58 28395.75 6597.85 5590.04 5699.67 3586.50 20299.13 5398.69 88
agg_prior196.22 4595.77 4797.56 3498.67 3893.79 3496.28 18698.00 6888.76 17895.68 6697.55 8292.70 1599.57 6195.01 5299.32 3999.32 41
agg_prior98.67 3893.79 3498.00 6895.68 6699.57 61
112194.71 7993.83 8297.34 4098.57 4993.64 3996.04 20197.73 9081.56 28595.68 6697.85 5590.23 5399.65 3787.68 17999.12 5698.73 84
MG-MVS95.61 5695.38 5396.31 8498.42 5490.53 12696.04 20197.48 11593.47 5295.67 6998.10 4089.17 6199.25 9491.27 12398.77 6799.13 54
MVS_Test94.89 7594.62 6895.68 11096.83 11789.55 15096.70 14997.17 14891.17 11195.60 7096.11 14387.87 7898.76 13093.01 9197.17 10798.72 85
MP-MVS-pluss96.70 3196.27 3897.98 999.23 2194.71 1196.96 11698.06 5490.67 12295.55 7198.78 291.07 4299.86 696.58 1499.55 1299.38 37
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MP-MVScopyleft96.77 2996.45 3497.72 2399.39 793.80 3398.41 1798.06 5493.37 5395.54 7298.34 2590.59 5099.88 394.83 5899.54 1399.49 24
test1297.65 2898.46 5194.26 1897.66 9995.52 7390.89 4699.46 7799.25 4499.22 47
test22298.24 6992.21 7395.33 23397.60 10479.22 29695.25 7497.84 5788.80 6699.15 5198.72 85
原ACMM196.38 8098.59 4691.09 11197.89 7787.41 21295.22 7597.68 6690.25 5299.54 6587.95 17299.12 5698.49 101
CPTT-MVS95.57 5795.19 5896.70 6099.27 1791.48 9598.33 2098.11 4287.79 20395.17 7698.03 4487.09 8999.61 4493.51 8099.42 2899.02 61
DP-MVS Recon95.68 5595.12 6097.37 3899.19 2294.19 2197.03 11098.08 4788.35 18995.09 7797.65 6989.97 5799.48 7592.08 10398.59 7298.44 106
Vis-MVSNetpermissive95.23 6394.81 6396.51 7197.18 10391.58 9498.26 2498.12 3994.38 3294.90 7898.15 3982.28 16898.92 11591.45 12098.58 7399.01 65
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
API-MVS94.84 7794.49 7495.90 10097.90 8592.00 8297.80 4697.48 11589.19 15594.81 7996.71 10788.84 6599.17 10088.91 15798.76 6896.53 165
MVS_030596.22 4595.84 4597.36 3997.72 8993.01 5396.93 12397.86 8295.55 594.80 8097.78 6086.05 10199.83 1396.71 1199.16 5099.25 46
OMC-MVS95.09 6794.70 6796.25 9098.46 5191.28 10196.43 16897.57 10792.04 8994.77 8197.96 4887.01 9099.09 10991.31 12296.77 11698.36 113
WTY-MVS94.71 7994.02 7996.79 5997.71 9092.05 7896.59 16197.35 13890.61 12894.64 8296.93 10086.41 9599.39 8691.20 12594.71 15198.94 71
ACMMPcopyleft96.27 4395.93 4397.28 4499.24 1992.62 6498.25 2598.81 392.99 6794.56 8398.39 2088.96 6399.85 994.57 6497.63 9399.36 39
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
Effi-MVS+94.93 7394.45 7696.36 8296.61 12291.47 9696.41 17097.41 13191.02 11694.50 8495.92 14887.53 8498.78 12793.89 7396.81 11598.84 81
sss94.51 8193.80 8396.64 6197.07 10791.97 8396.32 18298.06 5488.94 16994.50 8496.78 10484.60 11799.27 9391.90 10696.02 12998.68 89
PVSNet_BlendedMVS94.06 9393.92 8094.47 15298.27 6689.46 15596.73 14198.36 1690.17 13594.36 8695.24 18388.02 7499.58 5393.44 8390.72 19894.36 262
PVSNet_Blended94.87 7694.56 7095.81 10398.27 6689.46 15595.47 22998.36 1688.84 17294.36 8696.09 14488.02 7499.58 5393.44 8398.18 7998.40 109
PMMVS92.86 13392.34 13094.42 15594.92 20286.73 22894.53 25096.38 20884.78 25594.27 8895.12 18883.13 13498.40 15491.47 11996.49 12498.12 119
EPP-MVSNet95.22 6495.04 6195.76 10597.49 9889.56 14998.67 597.00 17290.69 12194.24 8997.62 7489.79 5998.81 12593.39 8696.49 12498.92 73
PVSNet_Blended_VisFu95.27 6294.91 6296.38 8098.20 7390.86 11897.27 9198.25 2590.21 13494.18 9097.27 8887.48 8599.73 2293.53 7997.77 9198.55 92
XVG-OURS-SEG-HR93.86 10093.55 8994.81 14297.06 10988.53 17395.28 23697.45 12491.68 9794.08 9197.68 6682.41 16698.90 11793.84 7592.47 16896.98 155
XVG-OURS93.72 10593.35 9994.80 14397.07 10788.61 17194.79 24597.46 12091.97 9293.99 9297.86 5481.74 18098.88 12192.64 9392.67 16796.92 157
IS-MVSNet94.90 7494.52 7396.05 9597.67 9190.56 12598.44 1596.22 21693.21 5893.99 9297.74 6385.55 10698.45 15289.98 13297.86 8699.14 53
CSCG96.05 4995.91 4496.46 7699.24 1990.47 12898.30 2198.57 1189.01 16593.97 9497.57 7892.62 1699.76 2094.66 6399.27 4399.15 52
HyFIR lowres test93.66 10692.92 10995.87 10198.24 6989.88 14094.58 24898.49 1285.06 25093.78 9595.78 15982.86 15398.67 13591.77 11095.71 13799.07 60
CHOSEN 1792x268894.15 8693.51 9296.06 9498.27 6689.38 15795.18 24198.48 1485.60 24393.76 9697.11 9683.15 13299.61 4491.33 12198.72 6999.19 48
CDS-MVSNet94.14 8893.54 9095.93 9996.18 14591.46 9796.33 18197.04 16888.97 16893.56 9796.51 12587.55 8397.89 22089.80 13595.95 13198.44 106
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MDTV_nov1_ep13_2view70.35 31293.10 28083.88 26493.55 9882.47 16586.25 20598.38 112
tpmrst91.44 17891.32 15391.79 25695.15 19179.20 29693.42 27295.37 25188.55 18393.49 9993.67 23982.49 16398.27 16390.41 12989.34 21297.90 127
TAMVS94.01 9693.46 9495.64 11196.16 14790.45 12996.71 14696.89 18689.27 15393.46 10096.92 10187.29 8797.94 21288.70 16395.74 13598.53 94
DeepC-MVS93.07 396.06 4895.66 4997.29 4397.96 8193.17 5097.30 9098.06 5493.92 4093.38 10198.66 486.83 9199.73 2295.60 4299.22 4698.96 68
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ab-mvs93.57 11092.55 12396.64 6197.28 10091.96 8495.40 23197.45 12489.81 14493.22 10296.28 13579.62 21499.46 7790.74 12693.11 16298.50 99
diffmvs93.43 11492.75 11495.48 12196.47 13489.61 14696.09 19897.14 15285.97 24093.09 10395.35 17884.87 11498.55 14589.51 14296.26 12898.28 115
Vis-MVSNet (Re-imp)94.15 8693.88 8194.95 13897.61 9487.92 20498.10 3195.80 23792.22 8693.02 10497.45 8584.53 11997.91 21988.24 16697.97 8499.02 61
114514_t93.95 9793.06 10696.63 6399.07 2691.61 9197.46 7897.96 7677.99 30193.00 10597.57 7886.14 10099.33 9089.22 14899.15 5198.94 71
UGNet94.04 9593.28 10396.31 8496.85 11491.19 10697.88 4097.68 9894.40 3093.00 10596.18 13873.39 26699.61 4491.72 11198.46 7498.13 118
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
HY-MVS89.66 993.87 9992.95 10896.63 6397.10 10692.49 6895.64 22196.64 20089.05 16493.00 10595.79 15885.77 10599.45 7989.16 15194.35 15297.96 124
PVSNet86.66 1892.24 14991.74 14593.73 18997.77 8883.69 26392.88 28296.72 19387.91 20193.00 10594.86 19278.51 23199.05 11186.53 20097.45 10098.47 104
MAR-MVS94.22 8493.46 9496.51 7198.00 8092.19 7697.67 5797.47 11888.13 19893.00 10595.84 15284.86 11599.51 7287.99 17198.17 8097.83 133
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
MVS_dtu94.12 8993.32 10096.52 6795.99 15692.02 8096.24 19296.49 20594.28 3492.95 11097.02 9979.10 22099.64 4290.61 12897.17 10797.90 127
PAPM_NR95.01 6894.59 6996.26 8998.89 3190.68 12397.24 9397.73 9091.80 9492.93 11196.62 12189.13 6299.14 10489.21 14997.78 9098.97 67
MDTV_nov1_ep1390.76 17495.22 18780.33 28693.03 28195.28 25688.14 19792.84 11293.83 23481.34 18498.08 17982.86 25594.34 153
CostFormer91.18 19190.70 17792.62 23294.84 20681.76 27594.09 26194.43 28084.15 26092.72 11393.77 23679.43 21798.20 16690.70 12792.18 17497.90 127
EPNet95.20 6594.56 7097.14 5292.80 28392.68 6297.85 4394.87 27696.64 192.46 11497.80 5986.23 9699.65 3793.72 7798.62 7199.10 58
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CR-MVSNet90.82 20089.77 20993.95 17494.45 22087.19 21990.23 30495.68 24086.89 22892.40 11592.36 26780.91 19297.05 26681.09 26893.95 15497.60 144
RPMNet88.52 24486.72 25693.95 17494.45 22087.19 21990.23 30494.99 27077.87 30392.40 11587.55 30880.17 20797.05 26668.84 30593.95 15497.60 144
EPMVS90.70 20789.81 20893.37 20994.73 21184.21 25693.67 26888.02 32089.50 14892.38 11793.49 24677.82 23897.78 22986.03 21192.68 16698.11 122
PatchT88.87 23787.42 24293.22 21594.08 24285.10 24789.51 30894.64 27881.92 27992.36 11888.15 30380.05 20897.01 27072.43 29793.65 15797.54 147
PAPR94.18 8593.42 9896.48 7397.64 9391.42 9995.55 22497.71 9688.99 16692.34 11995.82 15489.19 6099.11 10686.14 20797.38 10198.90 75
mvs-test193.63 10793.69 8693.46 20596.02 15484.61 25497.24 9396.72 19393.85 4292.30 12095.76 16083.08 13898.89 11991.69 11496.54 12396.87 159
MVS_test032694.10 9193.32 10096.44 7796.14 15091.94 8596.26 18797.05 16494.12 3692.25 12196.47 12779.44 21699.59 4990.37 13097.82 8897.80 134
Patchmatch-test191.54 17490.85 17093.59 19795.59 16784.95 25094.72 24695.58 24490.82 11792.25 12193.58 24275.80 24697.41 25583.35 24995.98 13098.40 109
CVMVSNet91.23 18791.75 14389.67 28595.77 16374.69 30496.44 16694.88 27585.81 24192.18 12397.64 7279.07 22195.58 29688.06 16995.86 13498.74 83
AdaColmapbinary94.34 8293.68 8796.31 8498.59 4691.68 9096.59 16197.81 8689.87 13992.15 12497.06 9883.62 12699.54 6589.34 14498.07 8297.70 138
PatchmatchNetpermissive91.91 15791.35 15193.59 19795.38 17584.11 25893.15 27895.39 24989.54 14692.10 12593.68 23882.82 15598.13 17284.81 22795.32 14098.52 95
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
VPA-MVSNet93.24 11992.48 12895.51 11795.70 16592.39 6997.86 4198.66 992.30 8592.09 12695.37 17780.49 20098.40 15493.95 7085.86 23895.75 193
tpm90.25 21689.74 21291.76 25993.92 25079.73 29293.98 26293.54 30088.28 19091.99 12793.25 25277.51 23997.44 25287.30 19187.94 22498.12 119
CNLPA94.28 8393.53 9196.52 6798.38 5892.55 6696.59 16196.88 18790.13 13691.91 12897.24 9085.21 10999.09 10987.64 18297.83 8797.92 126
BH-RMVSNet92.72 13891.97 13894.97 13697.16 10487.99 19996.15 19595.60 24290.62 12691.87 12997.15 9578.41 23398.57 14383.16 25297.60 9498.36 113
PatchMatch-RL92.90 13192.02 13695.56 11498.19 7590.80 12095.27 23897.18 14687.96 19991.86 13095.68 16680.44 20198.99 11284.01 24397.54 9596.89 158
OPM-MVS93.28 11892.76 11294.82 14094.63 21490.77 12296.65 15497.18 14693.72 4591.68 13197.26 8979.33 21898.63 13792.13 10092.28 17095.07 227
tpm289.96 22289.21 22192.23 24094.91 20481.25 27893.78 26594.42 28180.62 29191.56 13293.44 24976.44 24397.94 21285.60 21892.08 17897.49 148
TAPA-MVS90.10 792.30 14691.22 15995.56 11498.33 6289.60 14796.79 13697.65 10181.83 28091.52 13397.23 9187.94 7698.91 11671.31 30198.37 7598.17 117
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TR-MVS91.48 17690.59 18194.16 16396.40 13687.33 21395.67 21895.34 25587.68 20791.46 13495.52 17476.77 24198.35 15882.85 25693.61 15996.79 161
RPSCF90.75 20390.86 16990.42 27996.84 11576.29 30295.61 22396.34 20983.89 26391.38 13597.87 5276.45 24298.78 12787.16 19592.23 17196.20 170
PatchFormer-LS_test91.68 16691.18 16193.19 21795.24 18683.63 26495.53 22695.44 24889.82 14391.37 13692.58 26180.85 19698.52 14789.65 14090.16 20597.42 150
PLCcopyleft91.00 694.11 9093.43 9696.13 9398.58 4891.15 11096.69 15197.39 13287.29 21591.37 13696.71 10788.39 7299.52 7187.33 19097.13 10997.73 136
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CHOSEN 280x42093.12 12292.72 11794.34 15896.71 12187.27 21590.29 30397.72 9386.61 23391.34 13895.29 18084.29 12198.41 15393.25 8798.94 6497.35 151
HQP_MVS93.78 10393.43 9694.82 14096.21 14289.99 13497.74 5097.51 11394.85 1691.34 13896.64 11481.32 18598.60 14093.02 8992.23 17195.86 182
plane_prior390.00 13294.46 2991.34 138
Fast-Effi-MVS+93.46 11292.75 11495.59 11396.77 11990.03 13196.81 13397.13 15488.19 19491.30 14194.27 22386.21 9798.63 13787.66 18196.46 12698.12 119
EI-MVSNet93.03 12692.88 11093.48 20395.77 16386.98 22496.44 16697.12 15590.66 12491.30 14197.64 7286.56 9398.05 19189.91 13390.55 20095.41 204
MVSTER93.20 12092.81 11194.37 15696.56 12789.59 14897.06 10997.12 15591.24 11091.30 14195.96 14682.02 17498.05 19193.48 8290.55 20095.47 201
ADS-MVSNet289.45 23088.59 22992.03 24995.86 15882.26 27290.93 29994.32 28583.23 27191.28 14491.81 27479.01 22695.99 28879.52 27491.39 18897.84 131
ADS-MVSNet89.89 22488.68 22893.53 20195.86 15884.89 25190.93 29995.07 26783.23 27191.28 14491.81 27479.01 22697.85 22279.52 27491.39 18897.84 131
nrg03094.05 9493.31 10296.27 8895.22 18794.59 1298.34 1997.46 12092.93 7491.21 14696.64 11487.23 8898.22 16594.99 5585.80 23995.98 180
Effi-MVS+-dtu93.08 12393.21 10492.68 23196.02 15483.25 26697.14 10696.72 19393.85 4291.20 14793.44 24983.08 13898.30 16291.69 11495.73 13696.50 167
VPNet92.23 15091.31 15494.99 13495.56 16890.96 11497.22 9897.86 8292.96 7390.96 14896.62 12175.06 25298.20 16691.90 10683.65 27195.80 188
JIA-IIPM88.26 25287.04 25391.91 25193.52 26281.42 27789.38 30994.38 28280.84 28990.93 14980.74 31579.22 21997.92 21682.76 25791.62 18396.38 168
test-LLR91.42 17991.19 16092.12 24694.59 21580.66 28194.29 25592.98 30391.11 11390.76 15092.37 26479.02 22498.07 18388.81 16196.74 11797.63 139
test-mter90.19 21989.54 21692.12 24694.59 21580.66 28194.29 25592.98 30387.68 20790.76 15092.37 26467.67 28998.07 18388.81 16196.74 11797.63 139
ACMM89.79 892.96 12892.50 12794.35 15796.30 14088.71 16997.58 6997.36 13791.40 10690.53 15296.65 11379.77 21198.75 13191.24 12491.64 18295.59 198
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
F-COLMAP93.58 10992.98 10795.37 12698.40 5588.98 16697.18 10297.29 14287.75 20590.49 15397.10 9785.21 10999.50 7486.70 19996.72 11997.63 139
DWT-MVSNet_test90.76 20189.89 20493.38 20895.04 19683.70 26295.85 21194.30 28688.19 19490.46 15492.80 25673.61 26498.50 14988.16 16790.58 19997.95 125
TESTMET0.1,190.06 22189.42 21891.97 25094.41 22280.62 28394.29 25591.97 31087.28 21690.44 15592.47 26368.79 28497.67 23788.50 16596.60 12297.61 143
FIs94.09 9293.70 8595.27 12795.70 16592.03 7998.10 3198.68 793.36 5590.39 15696.70 10987.63 8297.94 21292.25 9690.50 20295.84 185
GA-MVS91.38 18190.31 18694.59 14694.65 21387.62 21194.34 25396.19 21790.73 12090.35 15793.83 23471.84 26997.96 21087.22 19293.61 15998.21 116
LS3D93.57 11092.61 12196.47 7497.59 9591.61 9197.67 5797.72 9385.17 24890.29 15898.34 2584.60 11799.73 2283.85 24798.27 7798.06 123
FC-MVSNet-test93.94 9893.57 8895.04 13295.48 17191.45 9898.12 3098.71 593.37 5390.23 15996.70 10987.66 8097.85 22291.49 11890.39 20395.83 186
HQP-NCC95.86 15896.65 15493.55 4890.14 160
ACMP_Plane95.86 15896.65 15493.55 4890.14 160
HQP4-MVS90.14 16098.50 14995.78 189
HQP-MVS93.19 12192.74 11694.54 15195.86 15889.33 15896.65 15497.39 13293.55 4890.14 16095.87 15080.95 18998.50 14992.13 10092.10 17695.78 189
UniMVSNet_NR-MVSNet93.37 11592.67 11895.47 12295.34 17792.83 5897.17 10398.58 1092.98 7290.13 16495.80 15588.37 7397.85 22291.71 11283.93 26595.73 195
DU-MVS92.90 13192.04 13495.49 11994.95 20092.83 5897.16 10498.24 2693.02 6690.13 16495.71 16383.47 12797.85 22291.71 11283.93 26595.78 189
LPG-MVS_test92.94 12992.56 12294.10 16496.16 14788.26 17997.65 6097.46 12091.29 10790.12 16697.16 9379.05 22298.73 13292.25 9691.89 17995.31 214
LGP-MVS_train94.10 16496.16 14788.26 17997.46 12091.29 10790.12 16697.16 9379.05 22298.73 13292.25 9691.89 17995.31 214
UniMVSNet (Re)93.31 11792.55 12395.61 11295.39 17493.34 4897.39 8198.71 593.14 6390.10 16894.83 19487.71 7998.03 19591.67 11683.99 26495.46 202
mvs_anonymous93.82 10193.74 8494.06 16696.44 13585.41 24495.81 21397.05 16489.85 14290.09 16996.36 13387.44 8697.75 23293.97 6996.69 12099.02 61
test_djsdf93.07 12492.76 11294.00 16993.49 26488.70 17098.22 2697.57 10791.42 10490.08 17095.55 17282.85 15497.92 21694.07 6791.58 18495.40 208
dp88.90 23688.26 23490.81 27294.58 21776.62 30192.85 28394.93 27385.12 24990.07 17193.07 25375.81 24598.12 17480.53 27087.42 23097.71 137
PS-MVSNAJss93.74 10493.51 9294.44 15393.91 25189.28 16197.75 4997.56 11092.50 8289.94 17296.54 12488.65 6898.18 16993.83 7690.90 19595.86 182
v691.69 16591.00 16493.75 18694.14 23388.12 19297.20 9996.98 17389.19 15589.90 17394.42 21183.04 14298.07 18389.07 15285.10 24895.07 227
CLD-MVS92.98 12792.53 12594.32 15996.12 15289.20 16395.28 23697.47 11892.66 7989.90 17395.62 16880.58 19898.40 15492.73 9292.40 16995.38 210
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
gg-mvs-nofinetune87.82 25585.61 26294.44 15394.46 21989.27 16291.21 29884.61 32680.88 28889.89 17574.98 31871.50 27197.53 24685.75 21697.21 10696.51 166
v1neww91.70 16391.01 16293.75 18694.19 22888.14 19097.20 9996.98 17389.18 15789.87 17694.44 20983.10 13698.06 18889.06 15385.09 24995.06 230
v7new91.70 16391.01 16293.75 18694.19 22888.14 19097.20 9996.98 17389.18 15789.87 17694.44 20983.10 13698.06 18889.06 15385.09 24995.06 230
1112_ss93.37 11592.42 12996.21 9197.05 11090.99 11296.31 18396.72 19386.87 22989.83 17896.69 11186.51 9499.14 10488.12 16893.67 15698.50 99
v791.47 17790.73 17693.68 19494.13 23488.16 18897.09 10897.05 16488.38 18789.80 17994.52 20482.21 17098.01 19988.00 17085.42 24294.87 239
BH-untuned92.94 12992.62 12093.92 17897.22 10186.16 23696.40 17496.25 21490.06 13789.79 18096.17 14083.19 13098.35 15887.19 19397.27 10597.24 152
v191.61 16790.89 16593.78 18394.01 24688.21 18496.96 11696.96 17789.17 15989.78 18194.29 21982.97 14898.05 19188.85 15984.99 25595.08 225
v114191.61 16790.89 16593.78 18394.01 24688.24 18196.96 11696.96 17789.17 15989.75 18294.29 21982.99 14698.03 19588.85 15985.00 25495.07 227
divwei89l23v2f11291.61 16790.89 16593.78 18394.01 24688.22 18396.96 11696.96 17789.17 15989.75 18294.28 22183.02 14498.03 19588.86 15884.98 25695.08 225
V4291.58 17190.87 16893.73 18994.05 24588.50 17497.32 8896.97 17688.80 17789.71 18494.33 21682.54 16198.05 19189.01 15585.07 25194.64 255
Baseline_NR-MVSNet91.20 18890.62 17992.95 22293.83 25488.03 19897.01 11395.12 26588.42 18689.70 18595.13 18783.47 12797.44 25289.66 13983.24 27493.37 277
v14419291.06 19390.28 18893.39 20793.66 25987.23 21896.83 12997.07 16187.43 21189.69 18694.28 22181.48 18298.00 20287.18 19484.92 25794.93 237
v114491.37 18290.60 18093.68 19493.89 25288.23 18296.84 12897.03 17088.37 18889.69 18694.39 21282.04 17397.98 20387.80 17585.37 24394.84 241
Test_1112_low_res92.84 13591.84 14195.85 10297.04 11189.97 13795.53 22696.64 20085.38 24489.65 18895.18 18485.86 10399.10 10787.70 17793.58 16198.49 101
v119291.07 19290.23 19293.58 19993.70 25787.82 20796.73 14197.07 16187.77 20489.58 18994.32 21780.90 19597.97 20686.52 20185.48 24094.95 233
v124090.70 20789.85 20693.23 21493.51 26386.80 22796.61 15997.02 17187.16 21789.58 18994.31 21879.55 21597.98 20385.52 21985.44 24194.90 238
TranMVSNet+NR-MVSNet92.50 14091.63 14795.14 13094.76 20992.07 7797.53 7198.11 4292.90 7589.56 19196.12 14183.16 13197.60 24389.30 14583.20 27595.75 193
v2v48291.59 17090.85 17093.80 18193.87 25388.17 18796.94 12296.88 18789.54 14689.53 19294.90 19181.70 18198.02 19889.25 14785.04 25395.20 222
v192192090.85 19990.03 19993.29 21293.55 26086.96 22696.74 14097.04 16887.36 21389.52 19394.34 21580.23 20697.97 20686.27 20485.21 24694.94 235
IterMVS-LS92.29 14791.94 13993.34 21096.25 14186.97 22596.57 16497.05 16490.67 12289.50 19494.80 19686.59 9297.64 24089.91 13386.11 23795.40 208
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
cascas91.20 18890.08 19694.58 15094.97 19889.16 16593.65 26997.59 10679.90 29389.40 19592.92 25575.36 25098.36 15792.14 9994.75 14996.23 169
XVG-ACMP-BASELINE90.93 19790.21 19493.09 21894.31 22585.89 23795.33 23397.26 14391.06 11589.38 19695.44 17668.61 28598.60 14089.46 14391.05 19394.79 249
GBi-Net91.35 18390.27 18994.59 14696.51 13091.18 10797.50 7396.93 18288.82 17489.35 19794.51 20573.87 26097.29 26286.12 20888.82 21595.31 214
test191.35 18390.27 18994.59 14696.51 13091.18 10797.50 7396.93 18288.82 17489.35 19794.51 20573.87 26097.29 26286.12 20888.82 21595.31 214
FMVSNet391.78 15990.69 17895.03 13396.53 12992.27 7297.02 11296.93 18289.79 14589.35 19794.65 20277.01 24097.47 25086.12 20888.82 21595.35 212
WR-MVS92.34 14391.53 14994.77 14595.13 19290.83 11996.40 17497.98 7491.88 9389.29 20095.54 17382.50 16297.80 22789.79 13685.27 24595.69 196
DP-MVS92.76 13791.51 15096.52 6798.77 3390.99 11297.38 8396.08 22182.38 27689.29 20097.87 5283.77 12499.69 3181.37 26796.69 12098.89 77
BH-w/o92.14 15391.75 14393.31 21196.99 11285.73 23995.67 21895.69 23988.73 17989.26 20294.82 19582.97 14898.07 18385.26 22396.32 12796.13 175
3Dnovator91.36 595.19 6694.44 7797.44 3696.56 12793.36 4798.65 698.36 1694.12 3689.25 20398.06 4382.20 17199.77 1993.41 8599.32 3999.18 49
Fast-Effi-MVS+-dtu92.29 14791.99 13793.21 21695.27 18285.52 24397.03 11096.63 20292.09 8889.11 20495.14 18680.33 20498.08 17987.54 18594.74 15096.03 179
XXY-MVS92.16 15191.23 15894.95 13894.75 21090.94 11597.47 7797.43 12989.14 16288.90 20596.43 13079.71 21298.24 16489.56 14187.68 22695.67 197
PCF-MVS89.48 1191.56 17289.95 20296.36 8296.60 12392.52 6792.51 28797.26 14379.41 29488.90 20596.56 12384.04 12299.55 6377.01 28797.30 10497.01 154
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
jajsoiax92.42 14291.89 14094.03 16893.33 27088.50 17497.73 5297.53 11192.00 9188.85 20796.50 12675.62 24998.11 17593.88 7491.56 18595.48 199
mvs_tets92.31 14591.76 14293.94 17793.41 26688.29 17797.63 6497.53 11192.04 8988.76 20896.45 12974.62 25698.09 17893.91 7291.48 18695.45 203
v14890.99 19590.38 18592.81 22693.83 25485.80 23896.78 13896.68 19889.45 14988.75 20993.93 23282.96 15097.82 22687.83 17483.25 27394.80 247
FMVSNet291.31 18590.08 19694.99 13496.51 13092.21 7397.41 7996.95 18088.82 17488.62 21094.75 19873.87 26097.42 25485.20 22488.55 22195.35 212
tpmp4_e2389.58 22888.59 22992.54 23395.16 19081.53 27694.11 26095.09 26681.66 28188.60 21193.44 24975.11 25198.33 16182.45 26191.72 18197.75 135
PAPM91.52 17590.30 18795.20 12895.30 18189.83 14193.38 27396.85 18986.26 23688.59 21295.80 15584.88 11398.15 17175.67 29095.93 13297.63 139
3Dnovator+91.43 495.40 5894.48 7598.16 596.90 11395.34 498.48 1497.87 8094.65 2788.53 21398.02 4583.69 12599.71 2693.18 8898.96 6399.44 30
anonymousdsp92.16 15191.55 14893.97 17292.58 28789.55 15097.51 7297.42 13089.42 15088.40 21494.84 19380.66 19797.88 22191.87 10891.28 19094.48 258
WR-MVS_H92.00 15691.35 15193.95 17495.09 19489.47 15498.04 3598.68 791.46 10288.34 21594.68 20085.86 10397.56 24485.77 21584.24 26294.82 245
v891.29 18690.53 18293.57 20094.15 23288.12 19297.34 8597.06 16388.99 16688.32 21694.26 22583.08 13898.01 19987.62 18383.92 26794.57 256
ACMP89.59 1092.62 13992.14 13294.05 16796.40 13688.20 18597.36 8497.25 14591.52 9988.30 21796.64 11478.46 23298.72 13491.86 10991.48 18695.23 221
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
v1091.04 19490.23 19293.49 20294.12 23688.16 18897.32 8897.08 16088.26 19188.29 21894.22 22682.17 17297.97 20686.45 20384.12 26394.33 263
QAPM93.45 11392.27 13196.98 5796.77 11992.62 6498.39 1898.12 3984.50 25888.27 21997.77 6182.39 16799.81 1685.40 22198.81 6698.51 97
CP-MVSNet91.89 15891.24 15793.82 18095.05 19588.57 17297.82 4598.19 3191.70 9688.21 22095.76 16081.96 17597.52 24787.86 17384.65 25995.37 211
tpmvs89.83 22789.15 22391.89 25294.92 20280.30 28793.11 27995.46 24786.28 23588.08 22192.65 25880.44 20198.52 14781.47 26689.92 20896.84 160
PS-CasMVS91.55 17390.84 17293.69 19394.96 19988.28 17897.84 4498.24 2691.46 10288.04 22295.80 15579.67 21397.48 24987.02 19684.54 26095.31 214
MIMVSNet88.50 24686.76 25493.72 19194.84 20687.77 20891.39 29494.05 29186.41 23487.99 22392.59 26063.27 30195.82 29277.44 28392.84 16597.57 146
GG-mvs-BLEND93.62 19693.69 25889.20 16392.39 29083.33 32787.98 22489.84 28371.00 27596.87 27282.08 26495.40 13994.80 247
PEN-MVS91.20 18890.44 18393.48 20394.49 21887.91 20697.76 4898.18 3391.29 10787.78 22595.74 16280.35 20397.33 26085.46 22082.96 27695.19 223
ITE_SJBPF92.43 23595.34 17785.37 24595.92 22691.47 10187.75 22696.39 13271.00 27597.96 21082.36 26289.86 20993.97 269
v5290.70 20790.00 20092.82 22393.24 27287.03 22297.60 6697.14 15288.21 19287.69 22793.94 23180.91 19298.07 18387.39 18783.87 26993.36 278
V490.71 20690.00 20092.82 22393.21 27587.03 22297.59 6897.16 15188.21 19287.69 22793.92 23380.93 19198.06 18887.39 18783.90 26893.39 276
v7n90.76 20189.86 20593.45 20693.54 26187.60 21297.70 5697.37 13588.85 17187.65 22994.08 22981.08 18798.10 17684.68 23083.79 27094.66 254
Patchmtry88.64 24287.25 24692.78 22794.09 24086.64 22989.82 30795.68 24080.81 29087.63 23092.36 26780.91 19297.03 26878.86 27985.12 24794.67 253
pmmvs490.93 19789.85 20694.17 16293.34 26890.79 12194.60 24796.02 22284.62 25687.45 23195.15 18581.88 17897.45 25187.70 17787.87 22594.27 266
tpm cat188.36 25187.21 25091.81 25595.13 19280.55 28492.58 28695.70 23874.97 30987.45 23191.96 27278.01 23698.17 17080.39 27188.74 21896.72 163
FMVSNet189.88 22588.31 23294.59 14695.41 17391.18 10797.50 7396.93 18286.62 23287.41 23394.51 20565.94 29797.29 26283.04 25487.43 22995.31 214
semantic-postprocess91.82 25495.52 16984.20 25796.15 21990.61 12887.39 23494.27 22375.63 24896.44 27587.34 18986.88 23494.82 245
MVS91.71 16090.44 18395.51 11795.20 18991.59 9396.04 20197.45 12473.44 31387.36 23595.60 16985.42 10799.10 10785.97 21297.46 9695.83 186
EU-MVSNet88.72 23888.90 22588.20 28893.15 27874.21 30596.63 15894.22 28985.18 24787.32 23695.97 14576.16 24494.98 30185.27 22286.17 23595.41 204
IterMVS90.15 22089.67 21391.61 26195.48 17183.72 26094.33 25496.12 22089.99 13887.31 23794.15 22775.78 24796.27 27886.97 19786.89 23394.83 243
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v74890.34 21489.54 21692.75 22893.25 27185.71 24097.61 6597.17 14888.54 18487.20 23893.54 24381.02 18898.01 19985.73 21781.80 28094.52 257
pmmvs589.86 22688.87 22692.82 22392.86 28186.23 23596.26 18795.39 24984.24 25987.12 23994.51 20574.27 25897.36 25987.61 18487.57 22794.86 240
DTE-MVSNet90.56 21089.75 21193.01 22093.95 24987.25 21697.64 6397.65 10190.74 11987.12 23995.68 16679.97 20997.00 27183.33 25181.66 28394.78 250
Patchmatch-test89.42 23187.99 23593.70 19295.27 18285.11 24688.98 31094.37 28381.11 28687.10 24193.69 23782.28 16897.50 24874.37 29294.76 14898.48 103
IB-MVS87.33 1789.91 22388.28 23394.79 14495.26 18587.70 21095.12 24293.95 29489.35 15187.03 24292.49 26270.74 27799.19 9789.18 15081.37 28497.49 148
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
EPNet_dtu91.71 16091.28 15592.99 22193.76 25683.71 26196.69 15195.28 25693.15 6287.02 24395.95 14783.37 12997.38 25879.46 27696.84 11397.88 130
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MSDG91.42 17990.24 19194.96 13797.15 10588.91 16793.69 26796.32 21085.72 24286.93 24496.47 12780.24 20598.98 11380.57 26995.05 14496.98 155
test0.0.03 189.37 23288.70 22791.41 26592.47 28885.63 24195.22 24092.70 30691.11 11386.91 24593.65 24079.02 22493.19 30978.00 28289.18 21395.41 204
COLMAP_ROBcopyleft87.81 1590.40 21389.28 22093.79 18297.95 8287.13 22196.92 12495.89 23382.83 27386.88 24697.18 9273.77 26399.29 9278.44 28193.62 15894.95 233
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
OurMVSNet-221017-090.51 21290.19 19591.44 26493.41 26681.25 27896.98 11596.28 21191.68 9786.55 24796.30 13474.20 25997.98 20388.96 15687.40 23195.09 224
MS-PatchMatch90.27 21589.77 20991.78 25794.33 22484.72 25395.55 22496.73 19286.17 23886.36 24895.28 18271.28 27397.80 22784.09 24098.14 8192.81 283
131492.81 13692.03 13595.14 13095.33 18089.52 15396.04 20197.44 12787.72 20686.25 24995.33 17983.84 12398.79 12689.26 14697.05 11097.11 153
pm-mvs190.72 20589.65 21593.96 17394.29 22689.63 14597.79 4796.82 19089.07 16386.12 25095.48 17578.61 23097.78 22986.97 19781.67 28294.46 259
OpenMVScopyleft89.19 1292.86 13391.68 14696.40 7895.34 17792.73 6198.27 2398.12 3984.86 25385.78 25197.75 6278.89 22899.74 2187.50 18698.65 7096.73 162
LTVRE_ROB88.41 1390.99 19589.92 20394.19 16196.18 14589.55 15096.31 18397.09 15887.88 20285.67 25295.91 14978.79 22998.57 14381.50 26589.98 20694.44 260
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
testgi87.97 25387.21 25090.24 28192.86 28180.76 28096.67 15394.97 27191.74 9585.52 25395.83 15362.66 30394.47 30376.25 28888.36 22295.48 199
AllTest90.23 21788.98 22493.98 17097.94 8386.64 22996.51 16595.54 24585.38 24485.49 25496.77 10570.28 27999.15 10280.02 27292.87 16396.15 173
TestCases93.98 17097.94 8386.64 22995.54 24585.38 24485.49 25496.77 10570.28 27999.15 10280.02 27292.87 16396.15 173
DSMNet-mixed86.34 26686.12 26087.00 29389.88 30170.43 31094.93 24490.08 31777.97 30285.42 25692.78 25774.44 25793.96 30574.43 29195.14 14296.62 164
MVP-Stereo90.74 20490.08 19692.71 22993.19 27788.20 18595.86 21096.27 21286.07 23984.86 25794.76 19777.84 23797.75 23283.88 24698.01 8392.17 300
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
ACMH+87.92 1490.20 21889.18 22293.25 21396.48 13386.45 23396.99 11496.68 19888.83 17384.79 25896.22 13770.16 28198.53 14684.42 23688.04 22394.77 251
NR-MVSNet92.34 14391.27 15695.53 11694.95 20093.05 5297.39 8198.07 5292.65 8084.46 25995.71 16385.00 11297.77 23189.71 13783.52 27295.78 189
LF4IMVS87.94 25487.25 24689.98 28392.38 28980.05 29194.38 25295.25 25987.59 20984.34 26094.74 19964.31 30097.66 23984.83 22687.45 22892.23 298
LCM-MVSNet-Re92.50 14092.52 12692.44 23496.82 11881.89 27496.92 12493.71 29692.41 8484.30 26194.60 20385.08 11197.03 26891.51 11797.36 10298.40 109
TransMVSNet (Re)88.94 23487.56 23793.08 21994.35 22388.45 17697.73 5295.23 26087.47 21084.26 26295.29 18079.86 21097.33 26079.44 27774.44 31093.45 275
Anonymous2023120687.09 26186.14 25989.93 28491.22 29580.35 28596.11 19795.35 25283.57 26884.16 26393.02 25473.54 26595.61 29472.16 29886.14 23693.84 271
SixPastTwentyTwo89.15 23388.54 23190.98 26893.49 26480.28 28896.70 14994.70 27790.78 11884.15 26495.57 17071.78 27097.71 23584.63 23185.07 25194.94 235
TDRefinement86.53 26484.76 26991.85 25382.23 31984.25 25596.38 17695.35 25284.97 25284.09 26594.94 18965.76 29898.34 16084.60 23474.52 30892.97 279
pmmvs687.81 25686.19 25892.69 23091.32 29486.30 23497.34 8596.41 20780.59 29284.05 26694.37 21467.37 29297.67 23784.75 22879.51 29094.09 268
ACMH87.59 1690.53 21189.42 21893.87 17996.21 14287.92 20497.24 9396.94 18188.45 18583.91 26796.27 13671.92 26898.62 13984.43 23589.43 21195.05 232
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
FMVSNet587.29 26085.79 26191.78 25794.80 20887.28 21495.49 22895.28 25684.09 26183.85 26891.82 27362.95 30294.17 30478.48 28085.34 24493.91 270
USDC88.94 23487.83 23692.27 23694.66 21284.96 24993.86 26495.90 22887.34 21483.40 26995.56 17167.43 29198.19 16882.64 26089.67 21093.66 272
PVSNet_082.17 1985.46 27383.64 27490.92 27095.27 18279.49 29390.55 30295.60 24283.76 26683.00 27089.95 28171.09 27497.97 20682.75 25860.79 32095.31 214
test_040286.46 26584.79 26891.45 26395.02 19785.55 24296.29 18594.89 27480.90 28782.21 27193.97 23068.21 28897.29 26262.98 31188.68 22091.51 304
Patchmatch-RL test87.38 25886.24 25790.81 27288.74 30578.40 29988.12 31393.17 30287.11 21882.17 27289.29 29481.95 17695.60 29588.64 16477.02 29498.41 108
testus82.63 28282.15 27884.07 29887.31 31067.67 31693.18 27494.29 28782.47 27582.14 27390.69 27953.01 31791.94 31366.30 30889.96 20792.62 284
LP84.13 27781.85 28290.97 26993.20 27682.12 27387.68 31494.27 28876.80 30481.93 27488.52 29872.97 26795.95 28959.53 31681.73 28194.84 241
test235682.77 28182.14 27984.65 29785.77 31370.36 31191.22 29793.69 29981.58 28381.82 27589.00 29660.63 30790.77 31664.74 30990.80 19792.82 281
DI_MVS_plusplus_test92.01 15490.77 17395.73 10993.34 26889.78 14396.14 19696.18 21890.58 13081.80 27693.50 24574.95 25498.90 11793.51 8096.94 11298.51 97
test_normal92.01 15490.75 17595.80 10493.24 27289.97 13795.93 20896.24 21590.62 12681.63 27793.45 24874.98 25398.89 11993.61 7897.04 11198.55 92
TinyColmap86.82 26385.35 26591.21 26694.91 20482.99 26793.94 26394.02 29383.58 26781.56 27894.68 20062.34 30498.13 17275.78 28987.35 23292.52 286
test20.0386.14 26885.40 26488.35 28690.12 29880.06 29095.90 20995.20 26188.59 18081.29 27993.62 24171.43 27292.65 31071.26 30281.17 28592.34 297
N_pmnet78.73 28878.71 28778.79 30692.80 28346.50 33294.14 25943.71 33578.61 29980.83 28091.66 27774.94 25596.36 27667.24 30684.45 26193.50 273
testpf80.97 28581.40 28379.65 30491.53 29372.43 30973.47 32589.55 31878.63 29880.81 28189.06 29561.36 30591.36 31583.34 25084.89 25875.15 320
MVS-HIRNet82.47 28381.21 28486.26 29695.38 17569.21 31588.96 31189.49 31966.28 31780.79 28274.08 32068.48 28697.39 25771.93 29995.47 13892.18 299
v1888.71 23987.52 23892.27 23694.16 23188.11 19496.82 13295.96 22387.03 21980.76 28389.81 28483.15 13296.22 27984.69 22975.31 30192.49 287
v1788.67 24187.47 24192.26 23894.13 23488.09 19696.81 13395.95 22487.02 22080.72 28489.75 28683.11 13596.20 28084.61 23275.15 30392.49 287
v1688.69 24087.50 23992.26 23894.19 22888.11 19496.81 13395.95 22487.01 22180.71 28589.80 28583.08 13896.20 28084.61 23275.34 30092.48 289
PM-MVS83.48 27881.86 28188.31 28787.83 30877.59 30093.43 27191.75 31186.91 22680.63 28689.91 28244.42 32295.84 29185.17 22576.73 29691.50 305
ambc86.56 29583.60 31670.00 31485.69 31794.97 27180.60 28788.45 29937.42 32496.84 27382.69 25975.44 29992.86 280
v1588.53 24387.31 24392.20 24194.09 24088.05 19796.72 14495.90 22887.01 22180.53 28889.60 29083.02 14496.13 28284.29 23774.64 30492.41 293
v1188.41 25087.19 25292.08 24894.08 24287.77 20896.75 13995.85 23486.74 23180.50 28989.50 29382.49 16396.08 28783.55 24875.20 30292.38 296
V1488.52 24487.30 24492.17 24394.12 23687.99 19996.72 14495.91 22786.98 22380.50 28989.63 28783.03 14396.12 28484.23 23874.60 30692.40 294
V988.49 24787.26 24592.18 24294.12 23687.97 20296.73 14195.90 22886.95 22580.40 29189.61 28882.98 14796.13 28284.14 23974.55 30792.44 291
MIMVSNet184.93 27583.05 27590.56 27789.56 30384.84 25295.40 23195.35 25283.91 26280.38 29292.21 27157.23 31093.34 30870.69 30482.75 27993.50 273
v1288.46 24887.23 24892.17 24394.10 23987.99 19996.71 14695.90 22886.91 22680.34 29389.58 29182.92 15196.11 28684.09 24074.50 30992.42 292
lessismore_v090.45 27891.96 29279.09 29787.19 32380.32 29494.39 21266.31 29597.55 24584.00 24476.84 29594.70 252
v1388.45 24987.22 24992.16 24594.08 24287.95 20396.71 14695.90 22886.86 23080.27 29589.55 29282.92 15196.12 28484.02 24274.63 30592.40 294
K. test v387.64 25786.75 25590.32 28093.02 28079.48 29496.61 15992.08 30990.66 12480.25 29694.09 22867.21 29396.65 27485.96 21380.83 28794.83 243
OpenMVS_ROBcopyleft81.14 2084.42 27682.28 27790.83 27190.06 29984.05 25995.73 21794.04 29273.89 31280.17 29791.53 27859.15 30897.64 24066.92 30789.05 21490.80 307
EG-PatchMatch MVS87.02 26285.44 26391.76 25992.67 28585.00 24896.08 20096.45 20683.41 27079.52 29893.49 24657.10 31197.72 23479.34 27890.87 19692.56 285
pmmvs-eth3d86.22 26784.45 27091.53 26288.34 30687.25 21694.47 25195.01 26883.47 26979.51 29989.61 28869.75 28295.71 29383.13 25376.73 29691.64 302
pmmvs379.97 28677.50 29087.39 29182.80 31779.38 29592.70 28590.75 31570.69 31578.66 30087.47 30951.34 31993.40 30773.39 29669.65 31589.38 310
UnsupCasMVSNet_eth85.99 26984.45 27090.62 27689.97 30082.40 27193.62 27097.37 13589.86 14078.59 30192.37 26465.25 29995.35 29982.27 26370.75 31394.10 267
Test489.48 22987.50 23995.44 12490.76 29789.72 14495.78 21697.09 15890.28 13377.67 30291.74 27655.42 31598.08 17991.92 10596.83 11498.52 95
new-patchmatchnet83.18 27981.87 28087.11 29286.88 31175.99 30393.70 26695.18 26285.02 25177.30 30388.40 30065.99 29693.88 30674.19 29470.18 31491.47 306
UnsupCasMVSNet_bld82.13 28479.46 28690.14 28288.00 30782.47 26990.89 30196.62 20378.94 29775.61 30484.40 31356.63 31296.31 27777.30 28666.77 31991.63 303
new_pmnet82.89 28081.12 28588.18 28989.63 30280.18 28991.77 29392.57 30776.79 30575.56 30588.23 30261.22 30694.48 30271.43 30082.92 27789.87 309
Anonymous2023121178.22 29075.30 29186.99 29486.14 31274.16 30695.62 22293.88 29566.43 31674.44 30687.86 30541.39 32395.11 30062.49 31269.46 31691.71 301
CMPMVSbinary62.92 2185.62 27284.92 26787.74 29089.14 30473.12 30894.17 25896.80 19173.98 31173.65 30794.93 19066.36 29497.61 24283.95 24591.28 19092.48 289
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
111178.29 28977.55 28980.50 30283.89 31459.98 32491.89 29193.71 29675.06 30773.60 30887.67 30655.66 31392.60 31158.54 31877.92 29288.93 311
.test124565.38 29869.22 29653.86 31883.89 31459.98 32491.89 29193.71 29675.06 30773.60 30887.67 30655.66 31392.60 31158.54 3182.96 3319.00 329
test123567879.82 28778.53 28883.69 29982.55 31867.55 31792.50 28894.13 29079.28 29572.10 31086.45 31157.27 30990.68 31761.60 31480.90 28692.82 281
testing_287.33 25985.03 26694.22 16087.77 30989.32 16094.97 24397.11 15789.22 15471.64 31188.73 29755.16 31697.94 21291.95 10488.73 21995.41 204
YYNet185.87 27084.23 27290.78 27592.38 28982.46 27093.17 27695.14 26482.12 27867.69 31292.36 26778.16 23595.50 29877.31 28579.73 28994.39 261
MDA-MVSNet_test_wron85.87 27084.23 27290.80 27492.38 28982.57 26893.17 27695.15 26382.15 27767.65 31392.33 27078.20 23495.51 29777.33 28479.74 28894.31 265
test1235674.97 29174.13 29277.49 30778.81 32056.23 32888.53 31292.75 30575.14 30667.50 31485.07 31244.88 32189.96 31858.71 31775.75 29886.26 312
DeepMVS_CXcopyleft74.68 31190.84 29664.34 32181.61 33065.34 31867.47 31588.01 30448.60 32080.13 32762.33 31373.68 31279.58 318
LCM-MVSNet72.55 29269.39 29582.03 30070.81 32965.42 32090.12 30694.36 28455.02 32165.88 31681.72 31424.16 33389.96 31874.32 29368.10 31790.71 308
MDA-MVSNet-bldmvs85.00 27482.95 27691.17 26793.13 27983.33 26594.56 24995.00 26984.57 25765.13 31792.65 25870.45 27895.85 29073.57 29577.49 29394.33 263
PMMVS270.19 29566.92 29780.01 30376.35 32165.67 31986.22 31687.58 32264.83 31962.38 31880.29 31726.78 33188.49 32263.79 31054.07 32185.88 314
testmv72.22 29370.02 29378.82 30573.06 32761.75 32291.24 29692.31 30874.45 31061.06 31980.51 31634.21 32588.63 32155.31 32168.07 31886.06 313
FPMVS71.27 29469.85 29475.50 30974.64 32259.03 32691.30 29591.50 31258.80 32057.92 32088.28 30129.98 32985.53 32453.43 32282.84 27881.95 316
Gipumacopyleft67.86 29765.41 29875.18 31092.66 28673.45 30766.50 32794.52 27953.33 32257.80 32166.07 32430.81 32689.20 32048.15 32578.88 29162.90 324
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
no-one68.12 29663.78 29981.13 30174.01 32470.22 31387.61 31590.71 31672.63 31453.13 32271.89 32130.29 32791.45 31461.53 31532.21 32581.72 317
tmp_tt51.94 30653.82 30346.29 31933.73 33445.30 33478.32 32467.24 33418.02 32950.93 32387.05 31052.99 31853.11 33270.76 30325.29 32940.46 327
ANet_high63.94 29959.58 30077.02 30861.24 33266.06 31885.66 31887.93 32178.53 30042.94 32471.04 32225.42 33280.71 32652.60 32330.83 32784.28 315
E-PMN53.28 30352.56 30455.43 31674.43 32347.13 33183.63 32076.30 33142.23 32642.59 32562.22 32628.57 33074.40 32931.53 32831.51 32644.78 325
PNet_i23d59.01 30055.87 30168.44 31373.98 32551.37 32981.36 32182.41 32852.37 32342.49 32670.39 32311.39 33479.99 32849.77 32438.71 32373.97 321
EMVS52.08 30551.31 30554.39 31772.62 32845.39 33383.84 31975.51 33241.13 32740.77 32759.65 32730.08 32873.60 33028.31 32929.90 32844.18 326
MVEpermissive50.73 2353.25 30448.81 30766.58 31565.34 33057.50 32772.49 32670.94 33340.15 32839.28 32863.51 3256.89 33873.48 33138.29 32742.38 32268.76 323
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMVScopyleft53.92 2258.58 30155.40 30268.12 31451.00 33348.64 33078.86 32387.10 32446.77 32535.84 32974.28 3198.76 33586.34 32342.07 32673.91 31169.38 322
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
wuykxyi23d56.92 30251.11 30674.38 31262.30 33161.47 32380.09 32284.87 32549.62 32430.80 33057.20 3287.03 33682.94 32555.69 32032.36 32478.72 319
wuyk23d25.11 30824.57 31026.74 32173.98 32539.89 33557.88 3289.80 33612.27 33010.39 3316.97 3347.03 33636.44 33325.43 33017.39 3303.89 331
testmvs13.36 31016.33 3114.48 3235.04 3352.26 33793.18 2743.28 3372.70 3318.24 33221.66 3302.29 3402.19 3347.58 3312.96 3319.00 329
test12313.04 31115.66 3125.18 3224.51 3363.45 33692.50 2881.81 3382.50 3327.58 33320.15 3313.67 3392.18 3357.13 3321.07 3339.90 328
cdsmvs_eth3d_5k23.24 30930.99 3090.00 3240.00 3370.00 3380.00 32997.63 1030.00 3330.00 33496.88 10284.38 1200.00 3360.00 3330.00 3340.00 332
pcd_1.5k_mvsjas7.39 3139.85 3140.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 33588.65 680.00 3360.00 3330.00 3340.00 332
pcd1.5k->3k38.37 30740.51 30831.96 32094.29 2260.00 3380.00 32997.69 970.00 3330.00 3340.00 33581.45 1830.00 3360.00 33391.11 19295.89 181
sosnet-low-res0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
sosnet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
uncertanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
Regformer0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
ab-mvs-re8.06 31210.74 3130.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 33496.69 1110.00 3410.00 3360.00 3330.00 3340.00 332
uanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
sam_mvs182.76 156
sam_mvs81.94 177
MTGPAbinary98.08 47
test_post192.81 28416.58 33380.53 19997.68 23686.20 206
test_post17.58 33281.76 17998.08 179
patchmatchnet-post90.45 28082.65 16098.10 176
MTMP82.03 329
gm-plane-assit93.22 27478.89 29884.82 25493.52 24498.64 13687.72 176
test9_res94.81 5999.38 3399.45 28
agg_prior293.94 7199.38 3399.50 22
test_prior493.66 3896.42 169
test_prior97.23 4798.67 3892.99 5498.00 6899.41 8399.29 43
新几何295.79 214
旧先验198.38 5893.38 4697.75 8898.09 4192.30 2599.01 6199.16 50
无先验95.79 21497.87 8083.87 26599.65 3787.68 17998.89 77
原ACMM295.67 218
testdata299.67 3585.96 213
segment_acmp92.89 10
testdata195.26 23993.10 65
plane_prior796.21 14289.98 136
plane_prior696.10 15390.00 13281.32 185
plane_prior597.51 11398.60 14093.02 8992.23 17195.86 182
plane_prior496.64 114
plane_prior297.74 5094.85 16
plane_prior196.14 150
plane_prior89.99 13497.24 9394.06 3892.16 175
n20.00 339
nn0.00 339
door-mid91.06 314
test1197.88 78
door91.13 313
HQP5-MVS89.33 158
BP-MVS92.13 100
HQP3-MVS97.39 13292.10 176
HQP2-MVS80.95 189
NP-MVS95.99 15689.81 14295.87 150
ACMMP++_ref90.30 204
ACMMP++91.02 194
Test By Simon88.73 67