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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
MTGPAbinary98.74 75
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
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
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_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
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
无先验97.58 23598.72 8191.38 23199.87 3493.36 17299.60 59
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
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
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
旧先验199.29 5597.48 5898.70 8999.09 5295.56 3599.47 6899.61 56
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
test22299.23 7097.17 7197.40 24398.66 10388.68 28098.05 6098.96 6894.14 6999.53 6499.61 56
test1198.66 103
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
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
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
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
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
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
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
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
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
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
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
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_prior598.56 11899.03 15696.07 9694.27 18596.92 196
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
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
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
test1299.18 3299.16 7698.19 3298.53 12498.07 5995.13 4999.72 8699.56 6099.63 55
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
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
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
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
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
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
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
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
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
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
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
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
HQP3-MVS98.46 13894.18 189
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
door94.64 315
door-mid94.37 316
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
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
MTMP94.14 319
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
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)
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
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
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
lessismore_v094.45 27494.93 29188.44 28891.03 32586.77 28497.64 18476.23 29498.42 22490.31 24285.64 29296.51 255
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
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
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
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
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
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
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
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)
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
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
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
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
n20.00 339
nn0.00 339
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
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
gm-plane-assit95.88 26987.47 29589.74 26796.94 23299.19 13493.32 174
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
原ACMM297.67 229
testdata299.89 2591.65 221
segment_acmp96.85 3
testdata197.32 25396.34 57
plane_prior797.42 17594.63 183
plane_prior697.35 18094.61 18687.09 207
plane_prior498.28 131
plane_prior394.61 18697.02 3995.34 145
plane_prior298.80 8597.28 22
plane_prior197.37 179
plane_prior94.60 18898.44 14696.74 4694.22 187
HQP5-MVS94.25 201
HQP-NCC97.20 18998.05 19096.43 5494.45 166
ACMP_Plane97.20 18998.05 19096.43 5494.45 166
BP-MVS95.30 124
HQP4-MVS94.45 16698.96 16396.87 206
HQP2-MVS86.75 212
NP-MVS97.28 18394.51 19197.73 174
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