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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MPTG98.55 2298.25 2999.46 699.76 198.64 898.55 13398.74 7597.27 2698.02 6399.39 794.81 5499.96 197.91 2899.79 1099.77 14
MTAPA98.58 1898.29 2699.46 699.76 198.64 898.90 6098.74 7597.27 2698.02 6399.39 794.81 5499.96 197.91 2899.79 1099.77 14
HSP-MVS98.70 598.52 899.24 2599.75 398.23 2899.26 1798.58 11697.52 899.41 398.78 8496.00 2399.79 6997.79 3799.59 5199.69 35
MP-MVScopyleft98.33 3898.01 3999.28 2099.75 398.18 3399.22 2798.79 6696.13 6297.92 7299.23 2994.54 5999.94 396.74 8099.78 1499.73 27
mPP-MVS98.51 2698.26 2899.25 2499.75 398.04 3999.28 1698.81 5896.24 5898.35 5299.23 2995.46 3899.94 397.42 5499.81 899.77 14
HPM-MVS_fast98.38 3298.13 3599.12 4099.75 397.86 4699.44 498.82 5594.46 12498.94 2199.20 3595.16 4899.74 8597.58 4699.85 299.77 14
region2R98.61 1398.38 1699.29 1899.74 798.16 3499.23 2198.93 3596.15 6098.94 2199.17 3995.91 2899.94 397.55 4999.79 1099.78 7
ACMMPR98.59 1698.36 1899.29 1899.74 798.15 3599.23 2198.95 3296.10 6598.93 2599.19 3895.70 3399.94 397.62 4499.79 1099.78 7
HPM-MVS98.36 3498.10 3699.13 3899.74 797.82 4899.53 198.80 6594.63 11798.61 4098.97 6495.13 4999.77 7997.65 4399.83 799.79 4
ACMMPcopyleft98.23 4197.95 4199.09 4299.74 797.62 5499.03 4899.41 695.98 6797.60 9099.36 1694.45 6499.93 997.14 6098.85 9799.70 34
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
MP-MVS-pluss98.31 3997.92 4299.49 499.72 1198.88 498.43 14898.78 6894.10 13097.69 8499.42 595.25 4599.92 1398.09 2399.80 999.67 46
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HFP-MVS98.63 1298.40 1499.32 1699.72 1198.29 2599.23 2198.96 3096.10 6598.94 2199.17 3996.06 2099.92 1397.62 4499.78 1499.75 20
#test#98.54 2498.27 2799.32 1699.72 1198.29 2598.98 5498.96 3095.65 7898.94 2199.17 3996.06 2099.92 1397.21 5999.78 1499.75 20
PGM-MVS98.49 2798.23 3299.27 2399.72 1198.08 3898.99 5199.49 595.43 8699.03 1599.32 2095.56 3599.94 396.80 7899.77 1799.78 7
XVS98.70 598.49 1299.34 1399.70 1598.35 2299.29 1498.88 4697.40 1598.46 4599.20 3595.90 2999.89 2597.85 3399.74 3299.78 7
X-MVStestdata94.06 22392.30 24099.34 1399.70 1598.35 2299.29 1498.88 4697.40 1598.46 4543.50 32995.90 2999.89 2597.85 3399.74 3299.78 7
TSAR-MVS + MP.98.78 398.62 499.24 2599.69 1798.28 2799.14 3798.66 10396.84 4399.56 299.31 2196.34 1099.70 9198.32 1999.73 3499.73 27
CSCG97.85 5297.74 4598.20 9299.67 1895.16 14999.22 2799.32 793.04 17797.02 10598.92 7295.36 4199.91 2197.43 5399.64 4499.52 66
CP-MVS98.57 2098.36 1899.19 2899.66 1997.86 4699.34 1198.87 4895.96 6898.60 4199.13 4496.05 2299.94 397.77 3899.86 199.77 14
CPTT-MVS97.72 5697.32 6398.92 5299.64 2097.10 7299.12 4298.81 5892.34 20798.09 5899.08 5493.01 8099.92 1396.06 9899.77 1799.75 20
ACMMP_Plus98.61 1398.30 2599.55 199.62 2198.95 398.82 7698.81 5895.80 7299.16 1299.47 495.37 4099.92 1397.89 3199.75 2999.79 4
MCST-MVS98.65 998.37 1799.48 599.60 2298.87 598.41 15098.68 9397.04 3898.52 4498.80 8396.78 499.83 4397.93 2799.61 4699.74 25
APDe-MVS99.02 198.84 199.55 199.57 2398.96 299.39 598.93 3597.38 1899.41 399.54 196.66 599.84 4298.86 199.85 299.87 1
abl_698.30 4098.03 3899.13 3899.56 2497.76 5099.13 4098.82 5596.14 6199.26 699.37 1293.33 7699.93 996.96 6699.67 3999.69 35
DP-MVS Recon97.86 5197.46 5899.06 4499.53 2598.35 2298.33 15698.89 4392.62 19098.05 6098.94 7095.34 4299.65 9896.04 9999.42 7499.19 103
APD-MVScopyleft98.35 3598.00 4099.42 999.51 2698.72 798.80 8598.82 5594.52 12099.23 899.25 2895.54 3799.80 5796.52 8899.77 1799.74 25
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HPM-MVS++98.58 1898.25 2999.55 199.50 2799.08 198.72 10698.66 10397.51 998.15 5598.83 8095.70 3399.92 1397.53 5199.67 3999.66 48
APD-MVS_3200maxsize98.53 2598.33 2499.15 3799.50 2797.92 4599.15 3698.81 5896.24 5899.20 1099.37 1295.30 4399.80 5797.73 4099.67 3999.72 30
114514_t96.93 9196.27 10498.92 5299.50 2797.63 5398.85 7198.90 4184.80 30197.77 7799.11 4692.84 8199.66 9794.85 13499.77 1799.47 77
PAPM_NR97.46 6697.11 7098.50 7499.50 2796.41 9898.63 12098.60 11095.18 9497.06 10398.06 14794.26 6899.57 10893.80 16398.87 9699.52 66
CDPH-MVS97.94 4797.49 5699.28 2099.47 3198.44 1497.91 20598.67 10092.57 19398.77 3298.85 7895.93 2799.72 8695.56 11799.69 3899.68 41
EI-MVSNet-Vis-set98.47 2898.39 1598.69 6199.46 3296.49 9598.30 16398.69 9097.21 2898.84 2799.36 1695.41 3999.78 7498.62 599.65 4399.80 3
EI-MVSNet-UG-set98.41 3098.34 2198.61 6699.45 3396.32 10298.28 16598.68 9397.17 3198.74 3499.37 1295.25 4599.79 6998.57 799.54 6399.73 27
F-COLMAP97.09 8896.80 8197.97 10799.45 3394.95 15898.55 13398.62 10993.02 17896.17 13598.58 10494.01 7199.81 5093.95 15898.90 9299.14 111
Regformer-398.59 1698.50 1198.86 5699.43 3597.05 7398.40 15198.68 9397.43 1499.06 1499.31 2195.80 3299.77 7998.62 599.76 2399.78 7
Regformer-498.64 1098.53 798.99 4699.43 3597.37 6298.40 15198.79 6697.46 1399.09 1399.31 2195.86 3199.80 5798.64 399.76 2399.79 4
Regformer-198.66 898.51 1099.12 4099.35 3797.81 4998.37 15398.76 7197.49 1099.20 1099.21 3296.08 1999.79 6998.42 1599.73 3499.75 20
Regformer-298.69 798.52 899.19 2899.35 3798.01 4198.37 15398.81 5897.48 1299.21 999.21 3296.13 1699.80 5798.40 1799.73 3499.75 20
新几何199.16 3599.34 3998.01 4198.69 9090.06 25698.13 5698.95 6994.60 5899.89 2591.97 21399.47 6899.59 61
112197.37 7696.77 8699.16 3599.34 3997.99 4498.19 17498.68 9390.14 25498.01 6598.97 6494.80 5699.87 3493.36 17299.46 7199.61 56
DP-MVS96.59 10595.93 11498.57 6899.34 3996.19 10698.70 11098.39 15089.45 27394.52 16399.35 1891.85 10199.85 4092.89 19198.88 9499.68 41
SD-MVS98.64 1098.68 398.53 7299.33 4298.36 2198.90 6098.85 5297.28 2299.72 199.39 796.63 797.60 27498.17 2299.85 299.64 53
HyFIR lowres test96.90 9396.49 9698.14 9599.33 4295.56 13597.38 24599.65 292.34 20797.61 8998.20 13989.29 13899.10 14796.97 6497.60 14499.77 14
OMC-MVS97.55 6597.34 6298.20 9299.33 4295.92 12298.28 16598.59 11195.52 8397.97 6899.10 4893.28 7899.49 11595.09 13298.88 9499.19 103
原ACMM198.65 6499.32 4596.62 8898.67 10093.27 17297.81 7698.97 6495.18 4799.83 4393.84 16199.46 7199.50 70
CNVR-MVS98.78 398.56 699.45 899.32 4598.87 598.47 14498.81 5897.72 498.76 3399.16 4297.05 299.78 7498.06 2499.66 4299.69 35
TEST999.31 4798.50 1297.92 20298.73 7992.63 18997.74 8098.68 9396.20 1299.80 57
train_agg97.97 4497.52 5499.33 1599.31 4798.50 1297.92 20298.73 7992.98 18097.74 8098.68 9396.20 1299.80 5796.59 8499.57 5499.68 41
test_prior398.22 4297.90 4399.19 2899.31 4798.22 3097.80 21998.84 5396.12 6397.89 7498.69 9195.96 2599.70 9196.89 7099.60 4799.65 50
test_prior99.19 2899.31 4798.22 3098.84 5399.70 9199.65 50
PatchMatch-RL96.59 10596.03 11298.27 8799.31 4796.51 9497.91 20599.06 2093.72 15096.92 11098.06 14788.50 17599.65 9891.77 21899.00 8998.66 146
agg_prior197.95 4697.51 5599.28 2099.30 5298.38 1797.81 21898.72 8193.16 17497.57 9298.66 9696.14 1599.81 5096.63 8399.56 6099.66 48
agg_prior99.30 5298.38 1798.72 8197.57 9299.81 50
CHOSEN 1792x268897.12 8696.80 8198.08 10199.30 5294.56 19098.05 19099.71 193.57 16197.09 9998.91 7488.17 18099.89 2596.87 7699.56 6099.81 2
test_899.29 5598.44 1497.89 21098.72 8192.98 18097.70 8298.66 9696.20 1299.80 57
agg_prior397.87 5097.42 6099.23 2799.29 5598.23 2897.92 20298.72 8192.38 20697.59 9198.64 9896.09 1899.79 6996.59 8499.57 5499.68 41
旧先验199.29 5597.48 5898.70 8999.09 5295.56 3599.47 6899.61 56
PLCcopyleft95.07 497.20 8296.78 8498.44 7999.29 5596.31 10498.14 18098.76 7192.41 20496.39 13198.31 13094.92 5399.78 7494.06 15698.77 10199.23 101
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
COLMAP_ROBcopyleft93.27 1295.33 15394.87 15596.71 16599.29 5593.24 22598.58 12698.11 19889.92 26193.57 21199.10 4886.37 22099.79 6990.78 23498.10 12897.09 186
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
NCCC98.61 1398.35 2099.38 1099.28 6098.61 1098.45 14598.76 7197.82 398.45 4898.93 7196.65 699.83 4397.38 5699.41 7599.71 32
PVSNet_Blended_VisFu97.70 5797.46 5898.44 7999.27 6195.91 12498.63 12099.16 1694.48 12397.67 8598.88 7592.80 8299.91 2197.11 6199.12 8699.50 70
MVS_111021_LR98.34 3698.23 3298.67 6399.27 6196.90 7997.95 20099.58 397.14 3398.44 4999.01 6195.03 5199.62 10597.91 2899.75 2999.50 70
MSLP-MVS++98.56 2198.57 598.55 7099.26 6396.80 8298.71 10799.05 2297.28 2298.84 2799.28 2596.47 999.40 12198.52 1399.70 3799.47 77
AllTest95.24 15594.65 15996.99 15099.25 6493.21 22698.59 12498.18 18091.36 23293.52 21398.77 8684.67 24399.72 8689.70 25597.87 13498.02 166
TestCases96.99 15099.25 6493.21 22698.18 18091.36 23293.52 21398.77 8684.67 24399.72 8689.70 25597.87 13498.02 166
PVSNet_BlendedMVS96.73 10096.60 9297.12 14499.25 6495.35 14498.26 16899.26 894.28 12697.94 7097.46 19392.74 8399.81 5096.88 7393.32 21196.20 266
PVSNet_Blended97.38 7597.12 6998.14 9599.25 6495.35 14497.28 25599.26 893.13 17597.94 7098.21 13892.74 8399.81 5096.88 7399.40 7799.27 97
DeepC-MVS95.98 397.88 4997.58 5098.77 5899.25 6496.93 7798.83 7498.75 7496.96 4196.89 11299.50 390.46 12499.87 3497.84 3599.76 2399.52 66
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast96.70 198.55 2298.34 2199.18 3299.25 6498.04 3998.50 14198.78 6897.72 498.92 2699.28 2595.27 4499.82 4897.55 4999.77 1799.69 35
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test22299.23 7097.17 7197.40 24398.66 10388.68 28098.05 6098.96 6894.14 6999.53 6499.61 56
TSAR-MVS + GP.98.38 3298.24 3198.81 5799.22 7197.25 6798.11 18598.29 16397.19 3098.99 2099.02 5796.22 1199.67 9698.52 1398.56 11099.51 69
SteuartSystems-ACMMP98.90 298.75 299.36 1299.22 7198.43 1699.10 4498.87 4897.38 1899.35 599.40 697.78 199.87 3497.77 3899.85 299.78 7
Skip Steuart: Steuart Systems R&D Blog.
MVS_111021_HR98.47 2898.34 2198.88 5499.22 7197.32 6397.91 20599.58 397.20 2998.33 5399.00 6295.99 2499.64 10098.05 2599.76 2399.69 35
testdata98.26 8899.20 7495.36 14298.68 9391.89 21798.60 4199.10 4894.44 6599.82 4894.27 15199.44 7399.58 63
PVSNet91.96 1896.35 11396.15 10896.96 15399.17 7592.05 23996.08 29098.68 9393.69 15497.75 7997.80 17188.86 15399.69 9494.26 15299.01 8899.15 109
test1299.18 3299.16 7698.19 3298.53 12498.07 5995.13 4999.72 8699.56 6099.63 55
AdaColmapbinary97.15 8596.70 8798.48 7699.16 7696.69 8798.01 19498.89 4394.44 12596.83 11498.68 9390.69 12299.76 8194.36 14799.29 8298.98 124
PHI-MVS98.34 3698.06 3799.18 3299.15 7898.12 3799.04 4799.09 1893.32 16998.83 2999.10 4896.54 899.83 4397.70 4299.76 2399.59 61
TAPA-MVS93.98 795.35 15194.56 16097.74 11899.13 7994.83 16898.33 15698.64 10886.62 28996.29 13398.61 9994.00 7299.29 12780.00 30199.41 7599.09 114
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
MG-MVS97.81 5397.60 4998.44 7999.12 8095.97 11597.75 22398.78 6896.89 4298.46 4599.22 3193.90 7399.68 9594.81 13699.52 6599.67 46
CNLPA97.45 6997.03 7498.73 5999.05 8197.44 6198.07 18998.53 12495.32 8996.80 11898.53 10693.32 7799.72 8694.31 15099.31 8099.02 120
DELS-MVS98.40 3198.20 3498.99 4699.00 8297.66 5197.75 22398.89 4397.71 698.33 5398.97 6494.97 5299.88 3398.42 1599.76 2399.42 84
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
DeepPCF-MVS96.37 297.93 4898.48 1396.30 21099.00 8289.54 27197.43 24298.87 4898.16 299.26 699.38 1196.12 1799.64 10098.30 2099.77 1799.72 30
MSDG95.93 12695.30 13997.83 11398.90 8495.36 14296.83 27798.37 15391.32 23694.43 17398.73 9090.27 12899.60 10690.05 24798.82 9998.52 151
RPSCF94.87 17295.40 12993.26 28598.89 8582.06 30998.33 15698.06 21290.30 25196.56 12399.26 2787.09 20799.49 11593.82 16296.32 16698.24 161
VNet97.79 5497.40 6198.96 5098.88 8697.55 5698.63 12098.93 3596.74 4699.02 1698.84 7990.33 12799.83 4398.53 996.66 15699.50 70
LFMVS95.86 12994.98 15098.47 7798.87 8796.32 10298.84 7396.02 29993.40 16698.62 3999.20 3574.99 29999.63 10397.72 4197.20 14899.46 81
UA-Net97.96 4597.62 4898.98 4898.86 8897.47 5998.89 6499.08 1996.67 4998.72 3599.54 193.15 7999.81 5094.87 13398.83 9899.65 50
WTY-MVS97.37 7696.92 7898.72 6098.86 8896.89 8198.31 16198.71 8695.26 9197.67 8598.56 10592.21 9299.78 7495.89 10396.85 15399.48 75
IS-MVSNet97.22 8196.88 7998.25 9098.85 9096.36 10099.19 3397.97 21795.39 8897.23 9798.99 6391.11 11598.93 16894.60 14198.59 10899.47 77
VDD-MVS95.82 13195.23 14197.61 12798.84 9193.98 20698.68 11597.40 25895.02 10297.95 6999.34 1974.37 30499.78 7498.64 396.80 15499.08 117
CHOSEN 280x42097.18 8397.18 6897.20 13898.81 9293.27 22395.78 29899.15 1795.25 9296.79 11998.11 14492.29 8899.07 15098.56 899.85 299.25 99
MVS_030598.00 4397.71 4698.87 5598.77 9397.19 6998.28 16598.71 8697.57 797.70 8298.92 7291.16 11399.93 998.71 299.60 4799.48 75
XVG-OURS-SEG-HR96.51 10896.34 10097.02 14998.77 9393.76 21297.79 22198.50 13395.45 8596.94 10799.09 5287.87 19199.55 11296.76 7995.83 17797.74 170
XVG-OURS96.55 10796.41 9796.99 15098.75 9593.76 21297.50 23998.52 12695.67 7696.83 11499.30 2488.95 15099.53 11395.88 10496.26 16897.69 173
Vis-MVSNet (Re-imp)96.87 9496.55 9497.83 11398.73 9695.46 13999.20 3198.30 16194.96 10596.60 12298.87 7690.05 13198.59 19693.67 16698.60 10799.46 81
PAPR96.84 9596.24 10698.65 6498.72 9796.92 7897.36 24998.57 11793.33 16896.67 12197.57 18994.30 6799.56 11091.05 23298.59 10899.47 77
canonicalmvs97.67 5897.23 6698.98 4898.70 9898.38 1799.34 1198.39 15096.76 4597.67 8597.40 19692.26 8999.49 11598.28 2196.28 16799.08 117
API-MVS97.41 7397.25 6597.91 10998.70 9896.80 8298.82 7698.69 9094.53 11998.11 5798.28 13194.50 6399.57 10894.12 15599.49 6697.37 181
MAR-MVS96.91 9296.40 9898.45 7898.69 10096.90 7998.66 11898.68 9392.40 20597.07 10297.96 15491.54 10999.75 8393.68 16598.92 9198.69 143
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
PS-MVSNAJ97.73 5597.77 4497.62 12698.68 10195.58 13397.34 25198.51 12897.29 2198.66 3797.88 16194.51 6099.90 2397.87 3299.17 8597.39 180
alignmvs97.56 6497.07 7399.01 4598.66 10298.37 2098.83 7498.06 21296.74 4698.00 6797.65 18290.80 12199.48 11998.37 1896.56 16099.19 103
Vis-MVSNetpermissive97.42 7297.11 7098.34 8598.66 10296.23 10599.22 2799.00 2596.63 5198.04 6299.21 3288.05 18599.35 12596.01 10199.21 8399.45 83
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
EPP-MVSNet97.46 6697.28 6497.99 10698.64 10495.38 14199.33 1398.31 15893.61 16097.19 9899.07 5594.05 7099.23 13196.89 7098.43 11799.37 86
ab-mvs96.42 11195.71 12398.55 7098.63 10596.75 8597.88 21198.74 7593.84 14396.54 12698.18 14085.34 23699.75 8395.93 10296.35 16599.15 109
PCF-MVS93.45 1194.68 18893.43 22498.42 8298.62 10696.77 8495.48 30098.20 17684.63 30293.34 21898.32 12988.55 17299.81 5084.80 29298.96 9098.68 144
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
xiu_mvs_v2_base97.66 5997.70 4797.56 12998.61 10795.46 13997.44 24098.46 13897.15 3298.65 3898.15 14194.33 6699.80 5797.84 3598.66 10697.41 178
sss97.39 7496.98 7698.61 6698.60 10896.61 9098.22 17098.93 3593.97 13798.01 6598.48 11291.98 9999.85 4096.45 9098.15 12699.39 85
Test_1112_low_res96.34 11495.66 12798.36 8498.56 10995.94 11997.71 22598.07 20992.10 21394.79 15897.29 20091.75 10299.56 11094.17 15396.50 16399.58 63
1112_ss96.63 10296.00 11398.50 7498.56 10996.37 9998.18 17898.10 20392.92 18294.84 15498.43 11592.14 9499.58 10794.35 14896.51 16299.56 65
BH-untuned95.95 12595.72 12096.65 17698.55 11192.26 23698.23 16997.79 22393.73 14994.62 16098.01 15188.97 14999.00 15993.04 18298.51 11198.68 144
LS3D97.16 8496.66 9198.68 6298.53 11297.19 6998.93 5898.90 4192.83 18795.99 14199.37 1292.12 9599.87 3493.67 16699.57 5498.97 125
HY-MVS93.96 896.82 9796.23 10798.57 6898.46 11397.00 7498.14 18098.21 17493.95 13896.72 12097.99 15391.58 10599.76 8194.51 14596.54 16198.95 129
xiu_mvs_v1_base_debu97.60 6097.56 5197.72 11998.35 11495.98 11197.86 21498.51 12897.13 3499.01 1798.40 11791.56 10699.80 5798.53 998.68 10297.37 181
xiu_mvs_v1_base97.60 6097.56 5197.72 11998.35 11495.98 11197.86 21498.51 12897.13 3499.01 1798.40 11791.56 10699.80 5798.53 998.68 10297.37 181
xiu_mvs_v1_base_debi97.60 6097.56 5197.72 11998.35 11495.98 11197.86 21498.51 12897.13 3499.01 1798.40 11791.56 10699.80 5798.53 998.68 10297.37 181
BH-w/o95.38 14995.08 14696.26 21298.34 11791.79 24397.70 22697.43 25592.87 18594.24 18797.22 20488.66 16898.84 17991.55 22297.70 14298.16 163
MVS_Test97.28 7997.00 7598.13 9798.33 11895.97 11598.74 10198.07 20994.27 12798.44 4998.07 14692.48 8599.26 12896.43 9198.19 12599.16 108
BH-RMVSNet95.92 12795.32 13797.69 12398.32 11994.64 18298.19 17497.45 25394.56 11896.03 13998.61 9985.02 23999.12 14090.68 23699.06 8799.30 93
Fast-Effi-MVS+96.28 11895.70 12498.03 10598.29 12095.97 11598.58 12698.25 16991.74 22195.29 14897.23 20391.03 11899.15 13692.90 18997.96 13198.97 125
diffmvs96.32 11595.74 11898.07 10398.26 12196.14 10798.53 13598.23 17290.10 25596.88 11397.73 17490.16 13099.15 13693.90 16097.85 13698.91 131
UGNet96.78 9896.30 10298.19 9498.24 12295.89 12698.88 6698.93 3597.39 1796.81 11797.84 16582.60 26199.90 2396.53 8799.49 6698.79 137
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
MVSTER96.06 12295.72 12097.08 14798.23 12395.93 12198.73 10498.27 16494.86 10995.07 14998.09 14588.21 17998.54 20096.59 8493.46 20696.79 213
GBi-Net94.49 19893.80 20196.56 18998.21 12495.00 15498.82 7698.18 18092.46 19494.09 19597.07 21381.16 26697.95 26292.08 20792.14 22296.72 221
test194.49 19893.80 20196.56 18998.21 12495.00 15498.82 7698.18 18092.46 19494.09 19597.07 21381.16 26697.95 26292.08 20792.14 22296.72 221
FMVSNet294.47 20093.61 21497.04 14898.21 12496.43 9798.79 9098.27 16492.46 19493.50 21597.09 21181.16 26698.00 26091.09 22891.93 22696.70 225
Effi-MVS+97.12 8696.69 8898.39 8398.19 12796.72 8697.37 24798.43 14593.71 15197.65 8898.02 14992.20 9399.25 12996.87 7697.79 13899.19 103
mvs_anonymous96.70 10196.53 9597.18 14098.19 12793.78 21198.31 16198.19 17794.01 13394.47 16598.27 13492.08 9798.46 21697.39 5597.91 13299.31 90
LCM-MVSNet-Re95.22 15695.32 13794.91 25898.18 12987.85 29498.75 9795.66 30595.11 9788.96 27596.85 23990.26 12997.65 27295.65 11598.44 11599.22 102
FMVSNet394.97 16794.26 17297.11 14598.18 12996.62 8898.56 13198.26 16893.67 15894.09 19597.10 20984.25 24898.01 25992.08 20792.14 22296.70 225
IterMVS-LS95.46 14395.21 14296.22 21398.12 13193.72 21598.32 16098.13 19193.71 15194.26 18597.31 19992.24 9098.10 25394.63 13990.12 23996.84 209
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
VDDNet95.36 15094.53 16197.86 11198.10 13295.13 15198.85 7197.75 22590.46 24798.36 5199.39 773.27 30699.64 10097.98 2696.58 15998.81 136
MVSFormer97.57 6397.49 5697.84 11298.07 13395.76 12999.47 298.40 14894.98 10398.79 3098.83 8092.34 8698.41 23196.91 6899.59 5199.34 87
lupinMVS97.44 7097.22 6798.12 9898.07 13395.76 12997.68 22897.76 22494.50 12198.79 3098.61 9992.34 8699.30 12697.58 4699.59 5199.31 90
TAMVS97.02 8996.79 8397.70 12298.06 13595.31 14698.52 13698.31 15893.95 13897.05 10498.61 9993.49 7598.52 20795.33 12397.81 13799.29 95
CDS-MVSNet96.99 9096.69 8897.90 11098.05 13695.98 11198.20 17298.33 15793.67 15896.95 10698.49 11093.54 7498.42 22495.24 12997.74 14199.31 90
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
ADS-MVSNet294.58 19594.40 16895.11 25598.00 13788.74 28296.04 29197.30 26690.15 25296.47 12896.64 24887.89 18997.56 27690.08 24597.06 14999.02 120
ADS-MVSNet95.00 16394.45 16696.63 17998.00 13791.91 24196.04 29197.74 22690.15 25296.47 12896.64 24887.89 18998.96 16390.08 24597.06 14999.02 120
IterMVS94.09 22093.85 19994.80 26497.99 13990.35 26497.18 26098.12 19393.68 15692.46 24397.34 19784.05 25197.41 27992.51 20191.33 23296.62 240
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PVSNet_088.72 1991.28 26490.03 26795.00 25797.99 13987.29 29794.84 30798.50 13392.06 21489.86 26795.19 27879.81 27899.39 12292.27 20469.79 32098.33 159
semantic-postprocess94.85 26197.98 14190.56 26298.11 19893.75 14692.58 23797.48 19283.91 25397.41 27992.48 20291.30 23396.58 245
EI-MVSNet95.96 12495.83 11796.36 20597.93 14293.70 21698.12 18398.27 16493.70 15395.07 14999.02 5792.23 9198.54 20094.68 13893.46 20696.84 209
CVMVSNet95.43 14596.04 11193.57 28197.93 14283.62 30398.12 18398.59 11195.68 7596.56 12399.02 5787.51 20197.51 27793.56 16997.44 14599.60 59
MVS_test032696.78 9896.28 10398.26 8897.92 14496.13 10997.88 21198.07 20997.38 1896.05 13898.49 11086.68 21499.87 3494.78 13799.30 8198.79 137
PMMVS96.60 10396.33 10197.41 13397.90 14593.93 20797.35 25098.41 14692.84 18697.76 7897.45 19591.10 11699.20 13396.26 9497.91 13299.11 113
Effi-MVS+-dtu96.29 11696.56 9395.51 23597.89 14690.22 26598.80 8598.10 20396.57 5296.45 13096.66 24690.81 11998.91 17095.72 11097.99 13097.40 179
mvs-test196.60 10396.68 9096.37 20497.89 14691.81 24298.56 13198.10 20396.57 5296.52 12797.94 15690.81 11999.45 12095.72 11098.01 12997.86 169
QAPM96.29 11695.40 12998.96 5097.85 14897.60 5599.23 2198.93 3589.76 26593.11 22699.02 5789.11 14399.93 991.99 21299.62 4599.34 87
3Dnovator+94.38 697.43 7196.78 8499.38 1097.83 14998.52 1199.37 798.71 8697.09 3792.99 22999.13 4489.36 13699.89 2596.97 6499.57 5499.71 32
MVS_dtu96.84 9596.38 9998.24 9197.81 15096.01 11097.98 19798.09 20697.49 1096.55 12598.86 7786.53 21699.89 2595.19 13198.89 9398.82 135
ACMH+92.99 1494.30 20793.77 20495.88 22597.81 15092.04 24098.71 10798.37 15393.99 13590.60 26398.47 11380.86 27199.05 15192.75 19392.40 22196.55 250
3Dnovator94.51 597.46 6696.93 7799.07 4397.78 15297.64 5299.35 1099.06 2097.02 3993.75 20899.16 4289.25 13999.92 1397.22 5899.75 2999.64 53
TR-MVS94.94 17094.20 17697.17 14197.75 15394.14 20397.59 23497.02 27992.28 21195.75 14397.64 18483.88 25498.96 16389.77 25196.15 17298.40 157
Fast-Effi-MVS+-dtu95.87 12895.85 11695.91 22397.74 15491.74 24698.69 11198.15 18895.56 8194.92 15297.68 18188.98 14898.79 18593.19 17797.78 13997.20 185
MIMVSNet93.26 23792.21 24196.41 20297.73 15593.13 22895.65 29997.03 27891.27 24094.04 19896.06 26575.33 29797.19 28286.56 28296.23 17098.92 130
Patchmatch-test195.32 15494.97 15296.35 20697.67 15691.29 25197.33 25297.60 23094.68 11296.92 11096.95 23083.97 25298.50 21091.33 22798.32 12199.25 99
ACMP93.49 1095.34 15294.98 15096.43 20197.67 15693.48 21998.73 10498.44 14294.94 10892.53 23998.53 10684.50 24699.14 13895.48 12094.00 19696.66 234
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMH92.88 1694.55 19693.95 19396.34 20897.63 15893.26 22498.81 8298.49 13793.43 16589.74 26898.53 10681.91 26499.08 14993.69 16493.30 21296.70 225
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
tpmp4_e2393.91 22793.42 22695.38 24797.62 15988.59 28697.52 23897.34 26287.94 28494.17 19296.79 24282.91 25999.05 15190.62 23895.91 17598.50 152
ACMM93.85 995.69 13795.38 13396.61 18297.61 16093.84 21098.91 5998.44 14295.25 9294.28 18498.47 11386.04 22799.12 14095.50 11993.95 19896.87 206
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Patchmatch-test94.42 20293.68 21196.63 17997.60 16191.76 24494.83 30897.49 25089.45 27394.14 19397.10 20988.99 14598.83 18185.37 29198.13 12799.29 95
PatchFormer-LS_test95.47 14295.27 14096.08 21997.59 16290.66 25998.10 18797.34 26293.98 13696.08 13696.15 26387.65 19999.12 14095.27 12795.24 18198.44 156
tpm cat193.36 23292.80 23395.07 25697.58 16387.97 29296.76 27897.86 22182.17 30993.53 21296.04 26686.13 22399.13 13989.24 26395.87 17698.10 164
MVS-HIRNet89.46 27888.40 28092.64 28797.58 16382.15 30894.16 31493.05 32375.73 31790.90 25982.52 31979.42 28098.33 23983.53 29498.68 10297.43 177
PatchmatchNetpermissive95.71 13595.52 12896.29 21197.58 16390.72 25896.84 27697.52 23894.06 13197.08 10096.96 22989.24 14098.90 17392.03 21198.37 11899.26 98
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmrst95.63 13995.69 12595.44 24197.54 16688.54 28796.97 26597.56 23293.50 16397.52 9496.93 23689.49 13399.16 13595.25 12896.42 16498.64 147
FMVSNet193.19 23992.07 24296.56 18997.54 16695.00 15498.82 7698.18 18090.38 25092.27 24697.07 21373.68 30597.95 26289.36 26291.30 23396.72 221
CLD-MVS95.62 14095.34 13496.46 20097.52 16893.75 21497.27 25698.46 13895.53 8294.42 17498.00 15286.21 22298.97 16096.25 9594.37 18396.66 234
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MDTV_nov1_ep1395.40 12997.48 16988.34 28996.85 27597.29 26793.74 14897.48 9597.26 20189.18 14199.05 15191.92 21597.43 146
IB-MVS91.98 1793.27 23691.97 24397.19 13997.47 17093.41 22297.09 26395.99 30093.32 16992.47 24295.73 27278.06 28599.53 11394.59 14282.98 29698.62 148
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
tpmvs94.60 19294.36 16995.33 25097.46 17188.60 28596.88 27497.68 22791.29 23893.80 20796.42 25588.58 16999.24 13091.06 23096.04 17498.17 162
LPG-MVS_test95.62 14095.34 13496.47 19797.46 17193.54 21798.99 5198.54 12194.67 11394.36 17698.77 8685.39 23399.11 14495.71 11294.15 19196.76 216
LGP-MVS_train96.47 19797.46 17193.54 21798.54 12194.67 11394.36 17698.77 8685.39 23399.11 14495.71 11294.15 19196.76 216
jason97.32 7897.08 7298.06 10497.45 17495.59 13297.87 21397.91 22094.79 11098.55 4398.83 8091.12 11499.23 13197.58 4699.60 4799.34 87
jason: jason.
HQP_MVS96.14 12195.90 11596.85 15997.42 17594.60 18898.80 8598.56 11897.28 2295.34 14598.28 13187.09 20799.03 15696.07 9694.27 18596.92 196
plane_prior797.42 17594.63 183
ITE_SJBPF95.44 24197.42 17591.32 25097.50 24495.09 10093.59 20998.35 12381.70 26598.88 17589.71 25493.39 21096.12 268
LTVRE_ROB92.95 1594.60 19293.90 19696.68 17197.41 17894.42 19398.52 13698.59 11191.69 22291.21 25598.35 12384.87 24199.04 15591.06 23093.44 20996.60 243
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
plane_prior197.37 179
plane_prior697.35 18094.61 18687.09 207
DWT-MVSNet_test94.82 17694.36 16996.20 21497.35 18090.79 25698.34 15596.57 29492.91 18395.33 14796.44 25482.00 26399.12 14094.52 14495.78 17898.70 142
dp94.15 21893.90 19694.90 25997.31 18286.82 29996.97 26597.19 27391.22 24296.02 14096.61 25085.51 23299.02 15890.00 24994.30 18498.85 132
NP-MVS97.28 18394.51 19197.73 174
CostFormer94.95 16894.73 15895.60 23497.28 18389.06 27897.53 23796.89 28389.66 26996.82 11696.72 24486.05 22598.95 16795.53 11896.13 17398.79 137
VPA-MVSNet95.75 13395.11 14597.69 12397.24 18597.27 6598.94 5799.23 1295.13 9695.51 14497.32 19885.73 22998.91 17097.33 5789.55 24796.89 204
tpm294.19 21393.76 20695.46 23997.23 18689.04 27997.31 25496.85 28687.08 28896.21 13496.79 24283.75 25798.74 18792.43 20396.23 17098.59 149
EPMVS94.99 16494.48 16296.52 19397.22 18791.75 24597.23 25791.66 32494.11 12997.28 9696.81 24185.70 23098.84 17993.04 18297.28 14798.97 125
FMVSNet591.81 25990.92 25394.49 27097.21 18892.09 23898.00 19697.55 23689.31 27690.86 26095.61 27774.48 30295.32 30885.57 28989.70 24396.07 270
HQP-NCC97.20 18998.05 19096.43 5494.45 166
ACMP_Plane97.20 18998.05 19096.43 5494.45 166
HQP-MVS95.72 13495.40 12996.69 16897.20 18994.25 20198.05 19098.46 13896.43 5494.45 16697.73 17486.75 21298.96 16395.30 12494.18 18996.86 208
OpenMVScopyleft93.04 1395.83 13095.00 14898.32 8697.18 19297.32 6399.21 3098.97 2889.96 25891.14 25699.05 5686.64 21599.92 1393.38 17199.47 6897.73 171
VPNet94.99 16494.19 17797.40 13497.16 19396.57 9198.71 10798.97 2895.67 7694.84 15498.24 13780.36 27698.67 19196.46 8987.32 27796.96 193
GA-MVS94.81 17794.03 18797.14 14297.15 19493.86 20996.76 27897.58 23194.00 13494.76 15997.04 22180.91 26998.48 21191.79 21796.25 16999.09 114
FIs96.51 10896.12 10997.67 12597.13 19597.54 5799.36 899.22 1495.89 6994.03 19998.35 12391.98 9998.44 22196.40 9292.76 21897.01 190
131496.25 12095.73 11997.79 11697.13 19595.55 13798.19 17498.59 11193.47 16492.03 25197.82 16991.33 11199.49 11594.62 14098.44 11598.32 160
DeepMVS_CXcopyleft86.78 30297.09 19772.30 32195.17 31075.92 31684.34 30395.19 27870.58 31095.35 30779.98 30289.04 25492.68 311
PAPM94.95 16894.00 18997.78 11797.04 19895.65 13196.03 29398.25 16991.23 24194.19 19097.80 17191.27 11298.86 17882.61 29697.61 14398.84 134
CR-MVSNet94.76 17994.15 17996.59 18497.00 19993.43 22094.96 30497.56 23292.46 19496.93 10896.24 25888.15 18197.88 26987.38 27796.65 15798.46 154
RPMNet92.52 24591.17 24896.59 18497.00 19993.43 22094.96 30497.26 27082.27 30896.93 10892.12 31286.98 21097.88 26976.32 31096.65 15798.46 154
UniMVSNet (Re)95.78 13295.19 14397.58 12896.99 20197.47 5998.79 9099.18 1595.60 7993.92 20297.04 22191.68 10398.48 21195.80 10887.66 27496.79 213
FC-MVSNet-test96.42 11196.05 11097.53 13096.95 20297.27 6599.36 899.23 1295.83 7193.93 20198.37 12192.00 9898.32 24096.02 10092.72 21997.00 191
TESTMET0.1,194.18 21593.69 21095.63 23396.92 20389.12 27796.91 26994.78 31293.17 17394.88 15396.45 25378.52 28398.92 16993.09 17998.50 11298.85 132
TinyColmap92.31 24791.53 24694.65 26796.92 20389.75 26896.92 26796.68 29090.45 24889.62 26997.85 16476.06 29598.81 18386.74 28192.51 22095.41 283
cascas94.63 19193.86 19896.93 15696.91 20594.27 20096.00 29498.51 12885.55 29794.54 16296.23 26084.20 24998.87 17695.80 10896.98 15297.66 174
nrg03096.28 11895.72 12097.96 10896.90 20698.15 3599.39 598.31 15895.47 8494.42 17498.35 12392.09 9698.69 18897.50 5289.05 25397.04 189
MVS94.67 18993.54 21898.08 10196.88 20796.56 9298.19 17498.50 13378.05 31592.69 23498.02 14991.07 11799.63 10390.09 24498.36 11998.04 165
WR-MVS_H95.05 16294.46 16496.81 16196.86 20895.82 12899.24 2099.24 1093.87 14292.53 23996.84 24090.37 12598.24 24893.24 17587.93 26996.38 261
UniMVSNet_NR-MVSNet95.71 13595.15 14497.40 13496.84 20996.97 7598.74 10199.24 1095.16 9593.88 20397.72 17791.68 10398.31 24295.81 10687.25 27996.92 196
USDC93.33 23592.71 23595.21 25196.83 21090.83 25596.91 26997.50 24493.84 14390.72 26198.14 14277.69 28798.82 18289.51 25993.21 21595.97 272
test-LLR95.10 16194.87 15595.80 22896.77 21189.70 26996.91 26995.21 30795.11 9794.83 15695.72 27487.71 19598.97 16093.06 18098.50 11298.72 140
test-mter94.08 22193.51 22195.80 22896.77 21189.70 26996.91 26995.21 30792.89 18494.83 15695.72 27477.69 28798.97 16093.06 18098.50 11298.72 140
Patchmtry93.22 23892.35 23995.84 22696.77 21193.09 22994.66 31097.56 23287.37 28792.90 23096.24 25888.15 18197.90 26587.37 27890.10 24096.53 252
gg-mvs-nofinetune92.21 24890.58 26297.13 14396.75 21495.09 15295.85 29689.40 32785.43 29894.50 16481.98 32080.80 27298.40 23792.16 20598.33 12097.88 168
XXY-MVS95.20 15894.45 16697.46 13196.75 21496.56 9298.86 7098.65 10793.30 17193.27 21998.27 13484.85 24298.87 17694.82 13591.26 23596.96 193
CP-MVSNet94.94 17094.30 17196.83 16096.72 21695.56 13599.11 4398.95 3293.89 14092.42 24497.90 15987.19 20698.12 25294.32 14988.21 26696.82 212
PatchT93.06 24191.97 24396.35 20696.69 21792.67 23294.48 31197.08 27486.62 28997.08 10092.23 31187.94 18797.90 26578.89 30596.69 15598.49 153
PS-CasMVS94.67 18993.99 19196.71 16596.68 21895.26 14799.13 4099.03 2393.68 15692.33 24597.95 15585.35 23598.10 25393.59 16888.16 26896.79 213
WR-MVS95.15 15994.46 16497.22 13796.67 21996.45 9698.21 17198.81 5894.15 12893.16 22297.69 17887.51 20198.30 24495.29 12688.62 26396.90 203
test_040291.32 26390.27 26594.48 27196.60 22091.12 25398.50 14197.22 27286.10 29388.30 27896.98 22777.65 28997.99 26178.13 30792.94 21794.34 301
TransMVSNet (Re)92.67 24391.51 24796.15 21596.58 22194.65 18198.90 6096.73 28790.86 24589.46 27197.86 16285.62 23198.09 25586.45 28381.12 30195.71 278
XVG-ACMP-BASELINE94.54 19794.14 18095.75 23196.55 22291.65 24798.11 18598.44 14294.96 10594.22 18897.90 15979.18 28299.11 14494.05 15793.85 19996.48 258
DU-MVS95.42 14694.76 15797.40 13496.53 22396.97 7598.66 11898.99 2795.43 8693.88 20397.69 17888.57 17098.31 24295.81 10687.25 27996.92 196
NR-MVSNet94.98 16694.16 17897.44 13296.53 22397.22 6898.74 10198.95 3294.96 10589.25 27397.69 17889.32 13798.18 25094.59 14287.40 27696.92 196
tpm94.13 21993.80 20195.12 25496.50 22587.91 29397.44 24095.89 30492.62 19096.37 13296.30 25784.13 25098.30 24493.24 17591.66 23199.14 111
pm-mvs193.94 22693.06 22996.59 18496.49 22695.16 14998.95 5698.03 21692.32 20991.08 25797.84 16584.54 24598.41 23192.16 20586.13 29096.19 267
JIA-IIPM93.35 23392.49 23795.92 22296.48 22790.65 26095.01 30396.96 28185.93 29596.08 13687.33 31687.70 19798.78 18691.35 22695.58 17998.34 158
TranMVSNet+NR-MVSNet95.14 16094.48 16297.11 14596.45 22896.36 10099.03 4899.03 2395.04 10193.58 21097.93 15788.27 17898.03 25894.13 15486.90 28496.95 195
testgi93.06 24192.45 23894.88 26096.43 22989.90 26698.75 9797.54 23795.60 7991.63 25497.91 15874.46 30397.02 28486.10 28593.67 20197.72 172
v794.69 18594.04 18696.62 18196.41 23094.79 17698.78 9298.13 19191.89 21794.30 18297.16 20688.13 18398.45 21891.96 21489.65 24496.61 241
v1neww94.83 17394.22 17396.68 17196.39 23194.85 16198.87 6798.11 19892.45 19994.45 16697.06 21688.82 15898.54 20092.93 18688.91 25696.65 236
v7new94.83 17394.22 17396.68 17196.39 23194.85 16198.87 6798.11 19892.45 19994.45 16697.06 21688.82 15898.54 20092.93 18688.91 25696.65 236
v1094.29 20893.55 21796.51 19496.39 23194.80 17398.99 5198.19 17791.35 23493.02 22896.99 22688.09 18498.41 23190.50 24088.41 26596.33 264
v1692.08 25190.94 25195.49 23796.38 23494.84 16698.81 8297.51 24189.94 26085.25 29593.28 29288.86 15396.91 28788.70 26979.78 30494.72 292
v894.47 20093.77 20496.57 18896.36 23594.83 16899.05 4698.19 17791.92 21693.16 22296.97 22888.82 15898.48 21191.69 22087.79 27296.39 260
v694.83 17394.21 17596.69 16896.36 23594.85 16198.87 6798.11 19892.46 19494.44 17297.05 22088.76 16498.57 19892.95 18588.92 25596.65 236
LP91.12 26689.99 26894.53 26996.35 23788.70 28393.86 31597.35 26184.88 30090.98 25894.77 28384.40 24797.43 27875.41 31391.89 22897.47 176
GG-mvs-BLEND96.59 18496.34 23894.98 15796.51 28888.58 32893.10 22794.34 28880.34 27798.05 25789.53 25896.99 15196.74 218
v1892.10 25090.97 25095.50 23696.34 23894.85 16198.82 7697.52 23889.99 25785.31 29493.26 29388.90 15296.92 28688.82 26779.77 30594.73 291
v1792.08 25190.94 25195.48 23896.34 23894.83 16898.81 8297.52 23889.95 25985.32 29293.24 29488.91 15196.91 28788.76 26879.63 30694.71 293
v1191.85 25890.68 26095.36 24896.34 23894.74 18098.80 8597.43 25589.60 27185.09 29793.03 29988.53 17396.75 29487.37 27879.96 30394.58 299
v1391.88 25790.69 25995.43 24396.33 24294.78 17898.75 9797.50 24489.68 26884.93 30192.98 30188.84 15696.83 29188.14 27579.09 30994.69 294
V1491.93 25490.76 25695.42 24696.33 24294.81 17298.77 9397.51 24189.86 26385.09 29793.13 29588.80 16296.83 29188.32 27279.06 31094.60 298
V4294.78 17894.14 18096.70 16796.33 24295.22 14898.97 5598.09 20692.32 20994.31 18097.06 21688.39 17698.55 19992.90 18988.87 25896.34 263
V991.91 25590.73 25795.45 24096.32 24594.80 17398.77 9397.50 24489.81 26485.03 29993.08 29788.76 16496.86 28988.24 27379.03 31194.69 294
v1591.94 25390.77 25595.43 24396.31 24694.83 16898.77 9397.50 24489.92 26185.13 29693.08 29788.76 16496.86 28988.40 27179.10 30894.61 297
v1291.89 25690.70 25895.43 24396.31 24694.80 17398.76 9697.50 24489.76 26584.95 30093.00 30088.82 15896.82 29388.23 27479.00 31294.68 296
divwei89l23v2f11294.76 17994.12 18396.67 17496.28 24894.85 16198.69 11198.12 19392.44 20194.29 18396.94 23288.85 15598.48 21192.67 19488.79 26296.67 231
PEN-MVS94.42 20293.73 20896.49 19596.28 24894.84 16699.17 3499.00 2593.51 16292.23 24797.83 16886.10 22497.90 26592.55 19986.92 28396.74 218
v114194.75 18194.11 18496.67 17496.27 25094.86 16098.69 11198.12 19392.43 20294.31 18096.94 23288.78 16398.48 21192.63 19688.85 26096.67 231
v194.75 18194.11 18496.69 16896.27 25094.87 15998.69 11198.12 19392.43 20294.32 17996.94 23288.71 16798.54 20092.66 19588.84 26196.67 231
v114494.59 19493.92 19496.60 18396.21 25294.78 17898.59 12498.14 19091.86 22094.21 18997.02 22387.97 18698.41 23191.72 21989.57 24596.61 241
Baseline_NR-MVSNet94.35 20593.81 20095.96 22196.20 25394.05 20598.61 12396.67 29191.44 22893.85 20597.60 18688.57 17098.14 25194.39 14686.93 28295.68 279
MS-PatchMatch93.84 22893.63 21294.46 27396.18 25489.45 27297.76 22298.27 16492.23 21292.13 25097.49 19179.50 27998.69 18889.75 25399.38 7895.25 284
pcd1.5k->3k39.42 30741.78 30832.35 32096.17 2550.00 3380.00 32998.54 1210.00 3330.00 3340.00 33587.78 1940.00 3360.00 33393.56 20597.06 187
v2v48294.69 18594.03 18796.65 17696.17 25594.79 17698.67 11698.08 20892.72 18894.00 20097.16 20687.69 19898.45 21892.91 18888.87 25896.72 221
EPNet_dtu95.21 15794.95 15395.99 22096.17 25590.45 26398.16 17997.27 26996.77 4493.14 22598.33 12890.34 12698.42 22485.57 28998.81 10099.09 114
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
OPM-MVS95.69 13795.33 13696.76 16396.16 25894.63 18398.43 14898.39 15096.64 5095.02 15198.78 8485.15 23899.05 15195.21 13094.20 18896.60 243
v119294.32 20693.58 21696.53 19296.10 25994.45 19298.50 14198.17 18591.54 22594.19 19097.06 21686.95 21198.43 22390.14 24389.57 24596.70 225
v14894.29 20893.76 20695.91 22396.10 25992.93 23098.58 12697.97 21792.59 19293.47 21696.95 23088.53 17398.32 24092.56 19887.06 28196.49 257
v14419294.39 20493.70 20996.48 19696.06 26194.35 19798.58 12698.16 18791.45 22794.33 17897.02 22387.50 20398.45 21891.08 22989.11 25296.63 239
DTE-MVSNet93.98 22593.26 22896.14 21696.06 26194.39 19599.20 3198.86 5193.06 17691.78 25297.81 17085.87 22897.58 27590.53 23986.17 28896.46 259
v124094.06 22393.29 22796.34 20896.03 26393.90 20898.44 14698.17 18591.18 24394.13 19497.01 22586.05 22598.42 22489.13 26589.50 24896.70 225
v192192094.20 21293.47 22396.40 20395.98 26494.08 20498.52 13698.15 18891.33 23594.25 18697.20 20586.41 21998.42 22490.04 24889.39 25096.69 230
EU-MVSNet93.66 23094.14 18092.25 29095.96 26583.38 30498.52 13698.12 19394.69 11192.61 23698.13 14387.36 20596.39 30391.82 21690.00 24196.98 192
v5294.18 21593.52 21996.13 21795.95 26694.29 19999.23 2198.21 17491.42 22992.84 23196.89 23787.85 19298.53 20691.51 22387.81 27095.57 282
v7n94.19 21393.43 22496.47 19795.90 26794.38 19699.26 1798.34 15691.99 21592.76 23397.13 20888.31 17798.52 20789.48 26087.70 27396.52 253
V494.18 21593.52 21996.13 21795.89 26894.31 19899.23 2198.22 17391.42 22992.82 23296.89 23787.93 18898.52 20791.51 22387.81 27095.58 281
gm-plane-assit95.88 26987.47 29589.74 26796.94 23299.19 13493.32 174
LF4IMVS93.14 24092.79 23494.20 27695.88 26988.67 28497.66 23097.07 27593.81 14591.71 25397.65 18277.96 28698.81 18391.47 22591.92 22795.12 285
PS-MVSNAJss96.43 11096.26 10596.92 15895.84 27195.08 15399.16 3598.50 13395.87 7093.84 20698.34 12794.51 6098.61 19496.88 7393.45 20897.06 187
testpf88.74 28189.09 27487.69 29995.78 27283.16 30684.05 32694.13 32085.22 29990.30 26494.39 28774.92 30095.80 30589.77 25193.28 21484.10 320
pmmvs494.69 18593.99 19196.81 16195.74 27395.94 11997.40 24397.67 22890.42 24993.37 21797.59 18789.08 14498.20 24992.97 18491.67 23096.30 265
v74893.75 22993.06 22995.82 22795.73 27492.64 23399.25 1998.24 17191.60 22492.22 24896.52 25187.60 20098.46 21690.64 23785.72 29196.36 262
test_djsdf96.00 12395.69 12596.93 15695.72 27595.49 13899.47 298.40 14894.98 10394.58 16197.86 16289.16 14298.41 23196.91 6894.12 19396.88 205
SixPastTwentyTwo93.34 23492.86 23294.75 26595.67 27689.41 27498.75 9796.67 29193.89 14090.15 26698.25 13680.87 27098.27 24790.90 23390.64 23796.57 247
K. test v392.55 24491.91 24594.48 27195.64 27789.24 27599.07 4594.88 31194.04 13286.78 28397.59 18777.64 29097.64 27392.08 20789.43 24996.57 247
OurMVSNet-221017-094.21 21194.00 18994.85 26195.60 27889.22 27698.89 6497.43 25595.29 9092.18 24998.52 10982.86 26098.59 19693.46 17091.76 22996.74 218
mvs_tets95.41 14895.00 14896.65 17695.58 27994.42 19399.00 5098.55 12095.73 7493.21 22198.38 12083.45 25898.63 19397.09 6294.00 19696.91 201
Gipumacopyleft78.40 29476.75 29583.38 30895.54 28080.43 31079.42 32797.40 25864.67 32173.46 31680.82 32245.65 32693.14 31766.32 32187.43 27576.56 325
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
test0.0.03 194.08 22193.51 22195.80 22895.53 28192.89 23197.38 24595.97 30195.11 9792.51 24196.66 24687.71 19596.94 28587.03 28093.67 20197.57 175
pmmvs593.65 23192.97 23195.68 23295.49 28292.37 23598.20 17297.28 26889.66 26992.58 23797.26 20182.14 26298.09 25593.18 17890.95 23696.58 245
N_pmnet87.12 28687.77 28385.17 30695.46 28361.92 32897.37 24770.66 33585.83 29688.73 27796.04 26685.33 23797.76 27180.02 30090.48 23895.84 274
jajsoiax95.45 14495.03 14796.73 16495.42 28494.63 18399.14 3798.52 12695.74 7393.22 22098.36 12283.87 25598.65 19296.95 6794.04 19496.91 201
DI_MVS_plusplus_test94.74 18393.62 21398.09 10095.34 28595.92 12298.09 18897.34 26294.66 11585.89 28795.91 26880.49 27599.38 12396.66 8298.22 12398.97 125
test_normal94.72 18493.59 21598.11 9995.30 28695.95 11897.91 20597.39 26094.64 11685.70 29095.88 26980.52 27499.36 12496.69 8198.30 12299.01 123
MDA-MVSNet-bldmvs89.97 27588.35 28194.83 26395.21 28791.34 24997.64 23197.51 24188.36 28271.17 31996.13 26479.22 28196.63 30083.65 29386.27 28796.52 253
anonymousdsp95.42 14694.91 15496.94 15595.10 28895.90 12599.14 3798.41 14693.75 14693.16 22297.46 19387.50 20398.41 23195.63 11694.03 19596.50 256
EPNet97.28 7996.87 8098.51 7394.98 28996.14 10798.90 6097.02 27998.28 195.99 14199.11 4691.36 11099.89 2596.98 6399.19 8499.50 70
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MVP-Stereo94.28 21093.92 19495.35 24994.95 29092.60 23497.97 19897.65 22991.61 22390.68 26297.09 21186.32 22198.42 22489.70 25599.34 7995.02 288
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
lessismore_v094.45 27494.93 29188.44 28891.03 32586.77 28497.64 18476.23 29498.42 22490.31 24285.64 29296.51 255
MDA-MVSNet_test_wron90.71 27089.38 27394.68 26694.83 29290.78 25797.19 25997.46 25187.60 28572.41 31895.72 27486.51 21796.71 29885.92 28786.80 28596.56 249
YYNet190.70 27189.39 27294.62 26894.79 29390.65 26097.20 25897.46 25187.54 28672.54 31795.74 27186.51 21796.66 29986.00 28686.76 28696.54 251
EG-PatchMatch MVS91.13 26590.12 26694.17 27894.73 29489.00 28098.13 18297.81 22289.22 27785.32 29296.46 25267.71 31498.42 22487.89 27693.82 20095.08 286
pmmvs691.77 26090.63 26195.17 25394.69 29591.24 25298.67 11697.92 21986.14 29289.62 26997.56 19075.79 29698.34 23890.75 23584.56 29595.94 273
new_pmnet90.06 27489.00 27793.22 28694.18 29688.32 29096.42 28996.89 28386.19 29185.67 29193.62 29077.18 29297.10 28381.61 29889.29 25194.23 302
DSMNet-mixed92.52 24592.58 23692.33 28994.15 29782.65 30798.30 16394.26 31789.08 27892.65 23595.73 27285.01 24095.76 30686.24 28497.76 14098.59 149
UnsupCasMVSNet_eth90.99 26889.92 26994.19 27794.08 29889.83 26797.13 26298.67 10093.69 15485.83 28996.19 26275.15 29896.74 29589.14 26479.41 30796.00 271
Anonymous2023120691.66 26191.10 24993.33 28394.02 29987.35 29698.58 12697.26 27090.48 24690.16 26596.31 25683.83 25696.53 30179.36 30389.90 24296.12 268
test20.0390.89 26990.38 26392.43 28893.48 30088.14 29198.33 15697.56 23293.40 16687.96 27996.71 24580.69 27394.13 31279.15 30486.17 28895.01 289
CMPMVSbinary66.06 2189.70 27689.67 27189.78 29593.19 30176.56 31497.00 26498.35 15580.97 31181.57 30897.75 17374.75 30198.61 19489.85 25093.63 20394.17 303
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft86.42 2089.00 27987.43 28593.69 28093.08 30289.42 27397.91 20596.89 28378.58 31485.86 28894.69 28469.48 31198.29 24677.13 30893.29 21393.36 310
Test492.21 24890.34 26497.82 11592.83 30395.87 12797.94 20198.05 21594.50 12182.12 30694.48 28559.54 32198.54 20095.39 12298.22 12399.06 119
MIMVSNet189.67 27788.28 28293.82 27992.81 30491.08 25498.01 19497.45 25387.95 28387.90 28095.87 27067.63 31594.56 31178.73 30688.18 26795.83 275
UnsupCasMVSNet_bld87.17 28585.12 28893.31 28491.94 30588.77 28194.92 30698.30 16184.30 30382.30 30590.04 31363.96 31997.25 28185.85 28874.47 31993.93 308
testus88.91 28089.08 27588.40 29891.39 30676.05 31596.56 28496.48 29589.38 27589.39 27295.17 28070.94 30993.56 31577.04 30995.41 18095.61 280
Patchmatch-RL test91.49 26290.85 25493.41 28291.37 30784.40 30192.81 31695.93 30391.87 21987.25 28194.87 28288.99 14596.53 30192.54 20082.00 29899.30 93
pmmvs-eth3d90.36 27389.05 27694.32 27591.10 30892.12 23797.63 23396.95 28288.86 27984.91 30293.13 29578.32 28496.74 29588.70 26981.81 30094.09 305
PM-MVS87.77 28486.55 28691.40 29391.03 30983.36 30596.92 26795.18 30991.28 23986.48 28693.42 29153.27 32296.74 29589.43 26181.97 29994.11 304
new-patchmatchnet88.50 28387.45 28491.67 29290.31 31085.89 30097.16 26197.33 26589.47 27283.63 30492.77 30576.38 29395.06 31082.70 29577.29 31494.06 306
testing_290.61 27288.50 27996.95 15490.08 31195.57 13497.69 22798.06 21293.02 17876.55 31392.48 30961.18 32098.44 22195.45 12191.98 22596.84 209
test235688.68 28288.61 27888.87 29789.90 31278.23 31295.11 30296.66 29388.66 28189.06 27494.33 28973.14 30792.56 31975.56 31295.11 18295.81 276
Anonymous2023121183.69 29081.50 29290.26 29489.23 31380.10 31197.97 19897.06 27772.79 31982.05 30792.57 30750.28 32396.32 30476.15 31175.38 31794.37 300
pmmvs386.67 28784.86 28992.11 29188.16 31487.19 29896.63 28194.75 31379.88 31387.22 28292.75 30666.56 31695.20 30981.24 29976.56 31693.96 307
111184.94 28984.30 29086.86 30187.59 31575.10 31796.63 28196.43 29682.53 30680.75 31092.91 30368.94 31293.79 31368.24 31984.66 29491.70 312
.test124573.05 29876.31 29663.27 31987.59 31575.10 31796.63 28196.43 29682.53 30680.75 31092.91 30368.94 31293.79 31368.24 31912.72 33120.91 329
test123567886.26 28885.81 28787.62 30086.97 31775.00 31996.55 28696.32 29886.08 29481.32 30992.98 30173.10 30892.05 32071.64 31687.32 27795.81 276
ambc89.49 29686.66 31875.78 31692.66 31796.72 28886.55 28592.50 30846.01 32597.90 26590.32 24182.09 29794.80 290
TDRefinement91.06 26789.68 27095.21 25185.35 31991.49 24898.51 14097.07 27591.47 22688.83 27697.84 16577.31 29199.09 14892.79 19277.98 31395.04 287
test1235683.47 29183.37 29183.78 30784.43 32070.09 32495.12 30195.60 30682.98 30478.89 31292.43 31064.99 31791.41 32270.36 31785.55 29389.82 314
PMMVS277.95 29575.44 29885.46 30482.54 32174.95 32094.23 31393.08 32272.80 31874.68 31587.38 31536.36 33091.56 32173.95 31463.94 32189.87 313
E-PMN64.94 30364.25 30367.02 31782.28 32259.36 33291.83 31985.63 33152.69 32660.22 32477.28 32541.06 32880.12 33046.15 32841.14 32561.57 327
EMVS64.07 30463.26 30566.53 31881.73 32358.81 33391.85 31884.75 33251.93 32859.09 32575.13 32643.32 32779.09 33142.03 32939.47 32661.69 326
no-one74.41 29770.76 29985.35 30579.88 32476.83 31394.68 30994.22 31880.33 31263.81 32279.73 32335.45 33193.36 31671.78 31536.99 32885.86 319
FPMVS77.62 29677.14 29479.05 31179.25 32560.97 32995.79 29795.94 30265.96 32067.93 32194.40 28637.73 32988.88 32568.83 31888.46 26487.29 316
PNet_i23d67.70 30165.07 30275.60 31378.61 32659.61 33189.14 32188.24 32961.83 32252.37 32680.89 32118.91 33484.91 32762.70 32452.93 32382.28 321
wuyk23d30.17 30830.18 31030.16 32178.61 32643.29 33566.79 32814.21 33617.31 33014.82 33311.93 33411.55 33741.43 33337.08 33019.30 3305.76 331
testmv78.74 29277.35 29382.89 30978.16 32869.30 32595.87 29594.65 31481.11 31070.98 32087.11 31746.31 32490.42 32365.28 32276.72 31588.95 315
LCM-MVSNet78.70 29376.24 29786.08 30377.26 32971.99 32294.34 31296.72 28861.62 32376.53 31489.33 31433.91 33292.78 31881.85 29774.60 31893.46 309
MVEpermissive62.14 2263.28 30659.38 30674.99 31474.33 33065.47 32785.55 32480.50 33452.02 32751.10 32775.00 32710.91 33980.50 32951.60 32753.40 32278.99 323
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuykxyi23d63.73 30558.86 30778.35 31267.62 33167.90 32686.56 32387.81 33058.26 32442.49 33070.28 32811.55 33785.05 32663.66 32341.50 32482.11 322
ANet_high69.08 29965.37 30180.22 31065.99 33271.96 32390.91 32090.09 32682.62 30549.93 32878.39 32429.36 33381.75 32862.49 32538.52 32786.95 318
PMVScopyleft61.03 2365.95 30263.57 30473.09 31657.90 33351.22 33485.05 32593.93 32154.45 32544.32 32983.57 31813.22 33589.15 32458.68 32681.00 30278.91 324
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
tmp_tt68.90 30066.97 30074.68 31550.78 33459.95 33087.13 32283.47 33338.80 32962.21 32396.23 26064.70 31876.91 33288.91 26630.49 32987.19 317
testmvs21.48 31024.95 31111.09 32314.89 3356.47 33796.56 2849.87 3377.55 33117.93 33139.02 3309.43 3405.90 33516.56 33212.72 33120.91 329
test12320.95 31123.72 31212.64 32213.54 3368.19 33696.55 2866.13 3387.48 33216.74 33237.98 33112.97 3366.05 33416.69 3315.43 33323.68 328
cdsmvs_eth3d_5k23.98 30931.98 3090.00 3240.00 3370.00 3380.00 32998.59 1110.00 3330.00 33498.61 9990.60 1230.00 3360.00 3330.00 3340.00 332
pcd_1.5k_mvsjas7.88 31310.50 3140.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 33594.51 600.00 3360.00 3330.00 3340.00 332
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-re8.20 31210.94 3130.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 33498.43 1150.00 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_mvs189.45 134
sam_mvs88.99 145
MTGPAbinary98.74 75
test_post196.68 28030.43 33387.85 19298.69 18892.59 197
test_post31.83 33288.83 15798.91 170
patchmatchnet-post95.10 28189.42 13598.89 174
MTMP94.14 319
test9_res96.39 9399.57 5499.69 35
agg_prior295.87 10599.57 5499.68 41
test_prior498.01 4197.86 214
test_prior297.80 21996.12 6397.89 7498.69 9195.96 2596.89 7099.60 47
旧先验297.57 23691.30 23798.67 3699.80 5795.70 114
新几何297.64 231
无先验97.58 23598.72 8191.38 23199.87 3493.36 17299.60 59
原ACMM297.67 229
testdata299.89 2591.65 221
segment_acmp96.85 3
testdata197.32 25396.34 57
plane_prior598.56 11899.03 15696.07 9694.27 18596.92 196
plane_prior498.28 131
plane_prior394.61 18697.02 3995.34 145
plane_prior298.80 8597.28 22
plane_prior94.60 18898.44 14696.74 4694.22 187
n20.00 339
nn0.00 339
door-mid94.37 316
test1198.66 103
door94.64 315
HQP5-MVS94.25 201
BP-MVS95.30 124
HQP4-MVS94.45 16698.96 16396.87 206
HQP3-MVS98.46 13894.18 189
HQP2-MVS86.75 212
MDTV_nov1_ep13_2view84.26 30296.89 27390.97 24497.90 7389.89 13293.91 15999.18 107
ACMMP++_ref92.97 216
ACMMP++93.61 204
Test By Simon94.64 57