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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
HPM-MVS++97.34 796.97 1198.47 199.08 2596.16 197.55 7097.97 7595.59 496.61 3397.89 4992.57 1799.84 1295.95 3199.51 1799.40 33
CNVR-MVS97.68 297.44 598.37 298.90 3095.86 297.27 9198.08 4795.81 397.87 998.31 3194.26 299.68 3397.02 399.49 2199.57 11
ACMMP_Plus97.20 996.86 1698.23 399.09 2495.16 697.60 6698.19 3192.82 7697.93 898.74 391.60 3699.86 696.26 1999.52 1599.67 2
MCST-MVS97.18 1096.84 1798.20 499.30 1695.35 397.12 10798.07 5293.54 5196.08 5197.69 6593.86 599.71 2696.50 1699.39 3299.55 15
3Dnovator+91.43 495.40 5894.48 7598.16 596.90 11395.34 498.48 1497.87 8094.65 2788.53 21398.02 4583.69 12599.71 2693.18 8898.96 6399.44 30
NCCC97.30 897.03 998.11 698.77 3395.06 897.34 8598.04 6195.96 297.09 2597.88 5193.18 999.71 2695.84 3499.17 4999.56 13
APDe-MVS97.82 197.73 198.08 799.15 2394.82 1098.81 298.30 2294.76 2398.30 498.90 193.77 699.68 3397.93 199.69 199.75 1
APD-MVScopyleft96.95 2296.60 2798.01 899.03 2794.93 997.72 5498.10 4491.50 10098.01 698.32 3092.33 2199.58 5394.85 5799.51 1799.53 20
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MP-MVS-pluss96.70 3196.27 3897.98 999.23 2194.71 1196.96 11698.06 5490.67 12295.55 7198.78 291.07 4299.86 696.58 1499.55 1299.38 37
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MPTG97.07 1696.77 2397.97 1099.37 1094.42 1597.15 10598.08 4795.07 1396.11 4998.59 590.88 4799.90 196.18 2699.50 1999.58 9
MTAPA97.08 1596.78 2297.97 1099.37 1094.42 1597.24 9398.08 4795.07 1396.11 4998.59 590.88 4799.90 196.18 2699.50 1999.58 9
SteuartSystems-ACMMP97.62 397.53 297.87 1298.39 5794.25 1998.43 1698.27 2495.34 898.11 598.56 794.53 199.71 2696.57 1599.62 599.65 3
Skip Steuart: Steuart Systems R&D Blog.
HFP-MVS97.14 1396.92 1497.83 1399.42 394.12 2498.52 1098.32 1993.21 5897.18 1898.29 3492.08 2699.83 1395.63 3899.59 799.54 17
#test#97.02 1996.75 2497.83 1399.42 394.12 2498.15 2998.32 1992.57 8197.18 1898.29 3492.08 2699.83 1395.12 4899.59 799.54 17
XVS97.18 1096.96 1297.81 1599.38 894.03 2898.59 798.20 2994.85 1696.59 3598.29 3491.70 3499.80 1795.66 3699.40 3099.62 5
X-MVStestdata91.71 16089.67 21397.81 1599.38 894.03 2898.59 798.20 2994.85 1696.59 3532.69 32991.70 3499.80 1795.66 3699.40 3099.62 5
ACMMPR97.07 1696.84 1797.79 1799.44 293.88 3098.52 1098.31 2193.21 5897.15 2098.33 2891.35 3999.86 695.63 3899.59 799.62 5
alignmvs95.87 5495.23 5797.78 1897.56 9795.19 597.86 4197.17 14894.39 3196.47 4096.40 13185.89 10299.20 9696.21 2495.11 14398.95 70
DeepC-MVS_fast93.89 296.93 2496.64 2697.78 1898.64 4494.30 1797.41 7998.04 6194.81 2196.59 3598.37 2191.24 4099.64 4295.16 4699.52 1599.42 32
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
region2R97.07 1696.84 1797.77 2099.46 193.79 3498.52 1098.24 2693.19 6197.14 2198.34 2591.59 3799.87 595.46 4399.59 799.64 4
CDPH-MVS95.97 5195.38 5397.77 2098.93 2994.44 1496.35 17897.88 7886.98 22396.65 3297.89 4991.99 3099.47 7692.26 9499.46 2399.39 34
canonicalmvs96.02 5095.45 5197.75 2297.59 9595.15 798.28 2297.60 10494.52 2896.27 4596.12 14187.65 8199.18 9996.20 2594.82 14798.91 74
train_agg96.30 4295.83 4697.72 2398.70 3694.19 2196.41 17098.02 6488.58 18196.03 5297.56 8092.73 1399.59 4995.04 5099.37 3799.39 34
MP-MVScopyleft96.77 2996.45 3497.72 2399.39 793.80 3398.41 1798.06 5493.37 5395.54 7298.34 2590.59 5099.88 394.83 5899.54 1399.49 24
PHI-MVS96.77 2996.46 3397.71 2598.40 5594.07 2698.21 2898.45 1589.86 14097.11 2498.01 4692.52 1999.69 3196.03 3099.53 1499.36 39
TSAR-MVS + MP.97.42 597.33 697.69 2699.25 1894.24 2098.07 3497.85 8493.72 4598.57 298.35 2293.69 799.40 8597.06 299.46 2399.44 30
Regformer-297.16 1296.99 1097.67 2798.32 6393.84 3296.83 12998.10 4495.24 997.49 1198.25 3792.57 1799.61 4496.80 799.29 4199.56 13
PGM-MVS96.81 2796.53 3097.65 2899.35 1393.53 4297.65 6098.98 192.22 8697.14 2198.44 1491.17 4199.85 994.35 6599.46 2399.57 11
test1297.65 2898.46 5194.26 1897.66 9995.52 7390.89 4699.46 7799.25 4499.22 47
mPP-MVS96.86 2596.60 2797.64 3099.40 593.44 4498.50 1398.09 4693.27 5795.95 5898.33 2891.04 4399.88 395.20 4599.57 1199.60 8
CP-MVS97.02 1996.81 2097.64 3099.33 1493.54 4198.80 398.28 2392.99 6796.45 4298.30 3391.90 3199.85 995.61 4099.68 299.54 17
HSP-MVS97.53 497.49 497.63 3299.40 593.77 3798.53 997.85 8495.55 598.56 397.81 5893.90 499.65 3796.62 1299.21 4799.48 26
agg_prior396.16 4795.67 4897.62 3398.67 3893.88 3096.41 17098.00 6887.93 20095.81 6297.47 8492.33 2199.59 4995.04 5099.37 3799.39 34
agg_prior196.22 4595.77 4797.56 3498.67 3893.79 3496.28 18698.00 6888.76 17895.68 6697.55 8292.70 1599.57 6195.01 5299.32 3999.32 41
Regformer-197.10 1496.96 1297.54 3598.32 6393.48 4396.83 12997.99 7395.20 1197.46 1298.25 3792.48 2099.58 5396.79 999.29 4199.55 15
3Dnovator91.36 595.19 6694.44 7797.44 3696.56 12793.36 4798.65 698.36 1694.12 3689.25 20398.06 4382.20 17199.77 1993.41 8599.32 3999.18 49
HPM-MVS96.69 3296.45 3497.40 3799.36 1293.11 5198.87 198.06 5491.17 11196.40 4397.99 4790.99 4499.58 5395.61 4099.61 699.49 24
DP-MVS Recon95.68 5595.12 6097.37 3899.19 2294.19 2197.03 11098.08 4788.35 18995.09 7797.65 6989.97 5799.48 7592.08 10398.59 7298.44 106
MVS_030596.22 4595.84 4597.36 3997.72 8993.01 5396.93 12397.86 8295.55 594.80 8097.78 6086.05 10199.83 1396.71 1199.16 5099.25 46
112194.71 7993.83 8297.34 4098.57 4993.64 3996.04 20197.73 9081.56 28595.68 6697.85 5590.23 5399.65 3787.68 17999.12 5698.73 84
新几何197.32 4198.60 4593.59 4097.75 8881.58 28395.75 6597.85 5590.04 5699.67 3586.50 20299.13 5398.69 88
DELS-MVS96.61 3596.38 3697.30 4297.79 8793.19 4995.96 20698.18 3395.23 1095.87 5997.65 6991.45 3899.70 3095.87 3299.44 2799.00 66
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
DeepC-MVS93.07 396.06 4895.66 4997.29 4397.96 8193.17 5097.30 9098.06 5493.92 4093.38 10198.66 486.83 9199.73 2295.60 4299.22 4698.96 68
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPcopyleft96.27 4395.93 4397.28 4499.24 1992.62 6498.25 2598.81 392.99 6794.56 8398.39 2088.96 6399.85 994.57 6497.63 9399.36 39
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
TSAR-MVS + GP.96.69 3296.49 3197.27 4598.31 6593.39 4596.79 13696.72 19394.17 3597.44 1397.66 6892.76 1199.33 9096.86 697.76 9299.08 59
Regformer-496.97 2196.87 1597.25 4698.34 6092.66 6396.96 11698.01 6695.12 1297.14 2198.42 1691.82 3299.61 4496.90 599.13 5399.50 22
test_prior396.46 3996.20 4197.23 4798.67 3892.99 5496.35 17898.00 6892.80 7796.03 5297.59 7692.01 2899.41 8395.01 5299.38 3399.29 43
test_prior97.23 4798.67 3892.99 5498.00 6899.41 8399.29 43
HPM-MVS_fast96.51 3796.27 3897.22 4999.32 1592.74 6098.74 498.06 5490.57 13196.77 2898.35 2290.21 5499.53 6894.80 6099.63 499.38 37
VNet95.89 5395.45 5197.21 5098.07 7992.94 5797.50 7398.15 3593.87 4197.52 1097.61 7585.29 10899.53 6895.81 3595.27 14199.16 50
UA-Net95.95 5295.53 5097.20 5197.67 9192.98 5697.65 6098.13 3894.81 2196.61 3398.35 2288.87 6499.51 7290.36 13197.35 10399.11 57
EPNet95.20 6594.56 7097.14 5292.80 28392.68 6297.85 4394.87 27696.64 192.46 11497.80 5986.23 9699.65 3793.72 7798.62 7199.10 58
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
APD-MVS_3200maxsize96.81 2796.71 2597.12 5399.01 2892.31 7097.98 3698.06 5493.11 6497.44 1398.55 990.93 4599.55 6396.06 2899.25 4499.51 21
SD-MVS97.41 697.53 297.06 5498.57 4994.46 1397.92 3898.14 3794.82 2099.01 198.55 994.18 397.41 25596.94 499.64 399.32 41
Regformer-396.85 2696.80 2197.01 5598.34 6092.02 8096.96 11697.76 8795.01 1597.08 2698.42 1691.71 3399.54 6596.80 799.13 5399.48 26
MVS_111021_HR96.68 3496.58 2996.99 5698.46 5192.31 7096.20 19498.90 294.30 3395.86 6097.74 6392.33 2199.38 8896.04 2999.42 2899.28 45
abl_696.40 4096.21 4096.98 5798.89 3192.20 7597.89 3998.03 6393.34 5697.22 1798.42 1687.93 7799.72 2595.10 4999.07 5899.02 61
QAPM93.45 11392.27 13196.98 5796.77 11992.62 6498.39 1898.12 3984.50 25888.27 21997.77 6182.39 16799.81 1685.40 22198.81 6698.51 97
WTY-MVS94.71 7994.02 7996.79 5997.71 9092.05 7896.59 16197.35 13890.61 12894.64 8296.93 10086.41 9599.39 8691.20 12594.71 15198.94 71
CPTT-MVS95.57 5795.19 5896.70 6099.27 1791.48 9598.33 2098.11 4287.79 20395.17 7698.03 4487.09 8999.61 4493.51 8099.42 2899.02 61
sss94.51 8193.80 8396.64 6197.07 10791.97 8396.32 18298.06 5488.94 16994.50 8496.78 10484.60 11799.27 9391.90 10696.02 12998.68 89
ab-mvs93.57 11092.55 12396.64 6197.28 10091.96 8495.40 23197.45 12489.81 14493.22 10296.28 13579.62 21499.46 7790.74 12693.11 16298.50 99
EI-MVSNet-Vis-set96.51 3796.47 3296.63 6398.24 6991.20 10596.89 12697.73 9094.74 2496.49 3998.49 1190.88 4799.58 5396.44 1798.32 7699.13 54
114514_t93.95 9793.06 10696.63 6399.07 2691.61 9197.46 7897.96 7677.99 30193.00 10597.57 7886.14 10099.33 9089.22 14899.15 5198.94 71
HY-MVS89.66 993.87 9992.95 10896.63 6397.10 10692.49 6895.64 22196.64 20089.05 16493.00 10595.79 15885.77 10599.45 7989.16 15194.35 15297.96 124
MSLP-MVS++96.94 2397.06 896.59 6698.72 3591.86 8697.67 5798.49 1294.66 2697.24 1698.41 1992.31 2498.94 11496.61 1399.46 2398.96 68
MVS_dtu94.12 8993.32 10096.52 6795.99 15692.02 8096.24 19296.49 20594.28 3492.95 11097.02 9979.10 22099.64 4290.61 12897.17 10797.90 127
LFMVS93.60 10892.63 11996.52 6798.13 7791.27 10297.94 3793.39 30190.57 13196.29 4498.31 3169.00 28399.16 10194.18 6695.87 13399.12 56
DP-MVS92.76 13791.51 15096.52 6798.77 3390.99 11297.38 8396.08 22182.38 27689.29 20097.87 5283.77 12499.69 3181.37 26796.69 12098.89 77
CNLPA94.28 8393.53 9196.52 6798.38 5892.55 6696.59 16196.88 18790.13 13691.91 12897.24 9085.21 10999.09 10987.64 18297.83 8797.92 126
Vis-MVSNetpermissive95.23 6394.81 6396.51 7197.18 10391.58 9498.26 2498.12 3994.38 3294.90 7898.15 3982.28 16898.92 11591.45 12098.58 7399.01 65
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MAR-MVS94.22 8493.46 9496.51 7198.00 8092.19 7697.67 5797.47 11888.13 19893.00 10595.84 15284.86 11599.51 7287.99 17198.17 8097.83 133
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
PAPR94.18 8593.42 9896.48 7397.64 9391.42 9995.55 22497.71 9688.99 16692.34 11995.82 15489.19 6099.11 10686.14 20797.38 10198.90 75
EI-MVSNet-UG-set96.34 4196.30 3796.47 7498.20 7390.93 11696.86 12797.72 9394.67 2596.16 4898.46 1290.43 5199.58 5396.23 2097.96 8598.90 75
LS3D93.57 11092.61 12196.47 7497.59 9591.61 9197.67 5797.72 9385.17 24890.29 15898.34 2584.60 11799.73 2283.85 24798.27 7798.06 123
CSCG96.05 4995.91 4496.46 7699.24 1990.47 12898.30 2198.57 1189.01 16593.97 9497.57 7892.62 1699.76 2094.66 6399.27 4399.15 52
MVS_test032694.10 9193.32 10096.44 7796.14 15091.94 8596.26 18797.05 16494.12 3692.25 12196.47 12779.44 21699.59 4990.37 13097.82 8897.80 134
OpenMVScopyleft89.19 1292.86 13391.68 14696.40 7895.34 17792.73 6198.27 2398.12 3984.86 25385.78 25197.75 6278.89 22899.74 2187.50 18698.65 7096.73 162
MVS_111021_LR96.24 4496.19 4296.39 7998.23 7291.35 10096.24 19298.79 493.99 3995.80 6397.65 6989.92 5899.24 9595.87 3299.20 4898.58 91
原ACMM196.38 8098.59 4691.09 11197.89 7787.41 21295.22 7597.68 6690.25 5299.54 6587.95 17299.12 5698.49 101
PVSNet_Blended_VisFu95.27 6294.91 6296.38 8098.20 7390.86 11897.27 9198.25 2590.21 13494.18 9097.27 8887.48 8599.73 2293.53 7997.77 9198.55 92
Effi-MVS+94.93 7394.45 7696.36 8296.61 12291.47 9696.41 17097.41 13191.02 11694.50 8495.92 14887.53 8498.78 12793.89 7396.81 11598.84 81
PCF-MVS89.48 1191.56 17289.95 20296.36 8296.60 12392.52 6792.51 28797.26 14379.41 29488.90 20596.56 12384.04 12299.55 6377.01 28797.30 10497.01 154
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
UGNet94.04 9593.28 10396.31 8496.85 11491.19 10697.88 4097.68 9894.40 3093.00 10596.18 13873.39 26699.61 4491.72 11198.46 7498.13 118
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
MG-MVS95.61 5695.38 5396.31 8498.42 5490.53 12696.04 20197.48 11593.47 5295.67 6998.10 4089.17 6199.25 9491.27 12398.77 6799.13 54
AdaColmapbinary94.34 8293.68 8796.31 8498.59 4691.68 9096.59 16197.81 8689.87 13992.15 12497.06 9883.62 12699.54 6589.34 14498.07 8297.70 138
lupinMVS94.99 7294.56 7096.29 8796.34 13891.21 10395.83 21296.27 21288.93 17096.22 4696.88 10286.20 9898.85 12295.27 4499.05 5998.82 82
nrg03094.05 9493.31 10296.27 8895.22 18794.59 1298.34 1997.46 12092.93 7491.21 14696.64 11487.23 8898.22 16594.99 5585.80 23995.98 180
PAPM_NR95.01 6894.59 6996.26 8998.89 3190.68 12397.24 9397.73 9091.80 9492.93 11196.62 12189.13 6299.14 10489.21 14997.78 9098.97 67
OMC-MVS95.09 6794.70 6796.25 9098.46 5191.28 10196.43 16897.57 10792.04 8994.77 8197.96 4887.01 9099.09 10991.31 12296.77 11698.36 113
1112_ss93.37 11592.42 12996.21 9197.05 11090.99 11296.31 18396.72 19386.87 22989.83 17896.69 11186.51 9499.14 10488.12 16893.67 15698.50 99
jason94.84 7794.39 7896.18 9295.52 16990.93 11696.09 19896.52 20489.28 15296.01 5697.32 8684.70 11698.77 12995.15 4798.91 6598.85 79
jason: jason.
PLCcopyleft91.00 694.11 9093.43 9696.13 9398.58 4891.15 11096.69 15197.39 13287.29 21591.37 13696.71 10788.39 7299.52 7187.33 19097.13 10997.73 136
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CHOSEN 1792x268894.15 8693.51 9296.06 9498.27 6689.38 15795.18 24198.48 1485.60 24393.76 9697.11 9683.15 13299.61 4491.33 12198.72 6999.19 48
IS-MVSNet94.90 7494.52 7396.05 9597.67 9190.56 12598.44 1596.22 21693.21 5893.99 9297.74 6385.55 10698.45 15289.98 13297.86 8699.14 53
VDD-MVS93.82 10193.08 10596.02 9697.88 8689.96 13997.72 5495.85 23492.43 8395.86 6098.44 1468.42 28799.39 8696.31 1894.85 14598.71 87
VDDNet93.05 12592.07 13396.02 9696.84 11590.39 13098.08 3395.85 23486.22 23795.79 6498.46 1267.59 29099.19 9794.92 5694.85 14598.47 104
MVSFormer95.37 5995.16 5995.99 9896.34 13891.21 10398.22 2697.57 10791.42 10496.22 4697.32 8686.20 9897.92 21694.07 6799.05 5998.85 79
CDS-MVSNet94.14 8893.54 9095.93 9996.18 14591.46 9796.33 18197.04 16888.97 16893.56 9796.51 12587.55 8397.89 22089.80 13595.95 13198.44 106
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
API-MVS94.84 7794.49 7495.90 10097.90 8592.00 8297.80 4697.48 11589.19 15594.81 7996.71 10788.84 6599.17 10088.91 15798.76 6896.53 165
HyFIR lowres test93.66 10692.92 10995.87 10198.24 6989.88 14094.58 24898.49 1285.06 25093.78 9595.78 15982.86 15398.67 13591.77 11095.71 13799.07 60
Test_1112_low_res92.84 13591.84 14195.85 10297.04 11189.97 13795.53 22696.64 20085.38 24489.65 18895.18 18485.86 10399.10 10787.70 17793.58 16198.49 101
PVSNet_Blended94.87 7694.56 7095.81 10398.27 6689.46 15595.47 22998.36 1688.84 17294.36 8696.09 14488.02 7499.58 5393.44 8398.18 7998.40 109
test_normal92.01 15490.75 17595.80 10493.24 27289.97 13795.93 20896.24 21590.62 12681.63 27793.45 24874.98 25398.89 11993.61 7897.04 11198.55 92
EPP-MVSNet95.22 6495.04 6195.76 10597.49 9889.56 14998.67 597.00 17290.69 12194.24 8997.62 7489.79 5998.81 12593.39 8696.49 12498.92 73
xiu_mvs_v1_base_debu95.01 6894.76 6495.75 10696.58 12491.71 8796.25 18997.35 13892.99 6796.70 2996.63 11882.67 15799.44 8096.22 2197.46 9696.11 176
xiu_mvs_v1_base95.01 6894.76 6495.75 10696.58 12491.71 8796.25 18997.35 13892.99 6796.70 2996.63 11882.67 15799.44 8096.22 2197.46 9696.11 176
xiu_mvs_v1_base_debi95.01 6894.76 6495.75 10696.58 12491.71 8796.25 18997.35 13892.99 6796.70 2996.63 11882.67 15799.44 8096.22 2197.46 9696.11 176
DI_MVS_plusplus_test92.01 15490.77 17395.73 10993.34 26889.78 14396.14 19696.18 21890.58 13081.80 27693.50 24574.95 25498.90 11793.51 8096.94 11298.51 97
MVS_Test94.89 7594.62 6895.68 11096.83 11789.55 15096.70 14997.17 14891.17 11195.60 7096.11 14387.87 7898.76 13093.01 9197.17 10798.72 85
TAMVS94.01 9693.46 9495.64 11196.16 14790.45 12996.71 14696.89 18689.27 15393.46 10096.92 10187.29 8797.94 21288.70 16395.74 13598.53 94
UniMVSNet (Re)93.31 11792.55 12395.61 11295.39 17493.34 4897.39 8198.71 593.14 6390.10 16894.83 19487.71 7998.03 19591.67 11683.99 26495.46 202
Fast-Effi-MVS+93.46 11292.75 11495.59 11396.77 11990.03 13196.81 13397.13 15488.19 19491.30 14194.27 22386.21 9798.63 13787.66 18196.46 12698.12 119
PatchMatch-RL92.90 13192.02 13695.56 11498.19 7590.80 12095.27 23897.18 14687.96 19991.86 13095.68 16680.44 20198.99 11284.01 24397.54 9596.89 158
TAPA-MVS90.10 792.30 14691.22 15995.56 11498.33 6289.60 14796.79 13697.65 10181.83 28091.52 13397.23 9187.94 7698.91 11671.31 30198.37 7598.17 117
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
NR-MVSNet92.34 14391.27 15695.53 11694.95 20093.05 5297.39 8198.07 5292.65 8084.46 25995.71 16385.00 11297.77 23189.71 13783.52 27295.78 189
MVS91.71 16090.44 18395.51 11795.20 18991.59 9396.04 20197.45 12473.44 31387.36 23595.60 16985.42 10799.10 10785.97 21297.46 9695.83 186
VPA-MVSNet93.24 11992.48 12895.51 11795.70 16592.39 6997.86 4198.66 992.30 8592.09 12695.37 17780.49 20098.40 15493.95 7085.86 23895.75 193
PS-MVSNAJ95.37 5995.33 5595.49 11997.35 9990.66 12495.31 23597.48 11593.85 4296.51 3895.70 16588.65 6899.65 3794.80 6098.27 7796.17 171
DU-MVS92.90 13192.04 13495.49 11994.95 20092.83 5897.16 10498.24 2693.02 6690.13 16495.71 16383.47 12797.85 22291.71 11283.93 26595.78 189
diffmvs93.43 11492.75 11495.48 12196.47 13489.61 14696.09 19897.14 15285.97 24093.09 10395.35 17884.87 11498.55 14589.51 14296.26 12898.28 115
UniMVSNet_NR-MVSNet93.37 11592.67 11895.47 12295.34 17792.83 5897.17 10398.58 1092.98 7290.13 16495.80 15588.37 7397.85 22291.71 11283.93 26595.73 195
testdata95.46 12398.18 7688.90 16897.66 9982.73 27497.03 2798.07 4290.06 5598.85 12289.67 13898.98 6298.64 90
Test489.48 22987.50 23995.44 12490.76 29789.72 14495.78 21697.09 15890.28 13377.67 30291.74 27655.42 31598.08 17991.92 10596.83 11498.52 95
xiu_mvs_v2_base95.32 6195.29 5695.40 12597.22 10190.50 12795.44 23097.44 12793.70 4796.46 4196.18 13888.59 7199.53 6894.79 6297.81 8996.17 171
F-COLMAP93.58 10992.98 10795.37 12698.40 5588.98 16697.18 10297.29 14287.75 20590.49 15397.10 9785.21 10999.50 7486.70 19996.72 11997.63 139
FIs94.09 9293.70 8595.27 12795.70 16592.03 7998.10 3198.68 793.36 5590.39 15696.70 10987.63 8297.94 21292.25 9690.50 20295.84 185
PAPM91.52 17590.30 18795.20 12895.30 18189.83 14193.38 27396.85 18986.26 23688.59 21295.80 15584.88 11398.15 17175.67 29095.93 13297.63 139
DeepPCF-MVS93.97 196.61 3597.09 795.15 12998.09 7886.63 23296.00 20598.15 3595.43 797.95 798.56 793.40 899.36 8996.77 1099.48 2299.45 28
131492.81 13692.03 13595.14 13095.33 18089.52 15396.04 20197.44 12787.72 20686.25 24995.33 17983.84 12398.79 12689.26 14697.05 11097.11 153
TranMVSNet+NR-MVSNet92.50 14091.63 14795.14 13094.76 20992.07 7797.53 7198.11 4292.90 7589.56 19196.12 14183.16 13197.60 24389.30 14583.20 27595.75 193
FC-MVSNet-test93.94 9893.57 8895.04 13295.48 17191.45 9898.12 3098.71 593.37 5390.23 15996.70 10987.66 8097.85 22291.49 11890.39 20395.83 186
FMVSNet391.78 15990.69 17895.03 13396.53 12992.27 7297.02 11296.93 18289.79 14589.35 19794.65 20277.01 24097.47 25086.12 20888.82 21595.35 212
VPNet92.23 15091.31 15494.99 13495.56 16890.96 11497.22 9897.86 8292.96 7390.96 14896.62 12175.06 25298.20 16691.90 10683.65 27195.80 188
FMVSNet291.31 18590.08 19694.99 13496.51 13092.21 7397.41 7996.95 18088.82 17488.62 21094.75 19873.87 26097.42 25485.20 22488.55 22195.35 212
BH-RMVSNet92.72 13891.97 13894.97 13697.16 10487.99 19996.15 19595.60 24290.62 12691.87 12997.15 9578.41 23398.57 14383.16 25297.60 9498.36 113
MSDG91.42 17990.24 19194.96 13797.15 10588.91 16793.69 26796.32 21085.72 24286.93 24496.47 12780.24 20598.98 11380.57 26995.05 14496.98 155
XXY-MVS92.16 15191.23 15894.95 13894.75 21090.94 11597.47 7797.43 12989.14 16288.90 20596.43 13079.71 21298.24 16489.56 14187.68 22695.67 197
Vis-MVSNet (Re-imp)94.15 8693.88 8194.95 13897.61 9487.92 20498.10 3195.80 23792.22 8693.02 10497.45 8584.53 11997.91 21988.24 16697.97 8499.02 61
OPM-MVS93.28 11892.76 11294.82 14094.63 21490.77 12296.65 15497.18 14693.72 4591.68 13197.26 8979.33 21898.63 13792.13 10092.28 17095.07 227
HQP_MVS93.78 10393.43 9694.82 14096.21 14289.99 13497.74 5097.51 11394.85 1691.34 13896.64 11481.32 18598.60 14093.02 8992.23 17195.86 182
XVG-OURS-SEG-HR93.86 10093.55 8994.81 14297.06 10988.53 17395.28 23697.45 12491.68 9794.08 9197.68 6682.41 16698.90 11793.84 7592.47 16896.98 155
XVG-OURS93.72 10593.35 9994.80 14397.07 10788.61 17194.79 24597.46 12091.97 9293.99 9297.86 5481.74 18098.88 12192.64 9392.67 16796.92 157
IB-MVS87.33 1789.91 22388.28 23394.79 14495.26 18587.70 21095.12 24293.95 29489.35 15187.03 24292.49 26270.74 27799.19 9789.18 15081.37 28497.49 148
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
WR-MVS92.34 14391.53 14994.77 14595.13 19290.83 11996.40 17497.98 7491.88 9389.29 20095.54 17382.50 16297.80 22789.79 13685.27 24595.69 196
GA-MVS91.38 18190.31 18694.59 14694.65 21387.62 21194.34 25396.19 21790.73 12090.35 15793.83 23471.84 26997.96 21087.22 19293.61 15998.21 116
GBi-Net91.35 18390.27 18994.59 14696.51 13091.18 10797.50 7396.93 18288.82 17489.35 19794.51 20573.87 26097.29 26286.12 20888.82 21595.31 214
test191.35 18390.27 18994.59 14696.51 13091.18 10797.50 7396.93 18288.82 17489.35 19794.51 20573.87 26097.29 26286.12 20888.82 21595.31 214
FMVSNet189.88 22588.31 23294.59 14695.41 17391.18 10797.50 7396.93 18286.62 23287.41 23394.51 20565.94 29797.29 26283.04 25487.43 22995.31 214
cascas91.20 18890.08 19694.58 15094.97 19889.16 16593.65 26997.59 10679.90 29389.40 19592.92 25575.36 25098.36 15792.14 9994.75 14996.23 169
HQP-MVS93.19 12192.74 11694.54 15195.86 15889.33 15896.65 15497.39 13293.55 4890.14 16095.87 15080.95 18998.50 14992.13 10092.10 17695.78 189
PVSNet_BlendedMVS94.06 9393.92 8094.47 15298.27 6689.46 15596.73 14198.36 1690.17 13594.36 8695.24 18388.02 7499.58 5393.44 8390.72 19894.36 262
gg-mvs-nofinetune87.82 25585.61 26294.44 15394.46 21989.27 16291.21 29884.61 32680.88 28889.89 17574.98 31871.50 27197.53 24685.75 21697.21 10696.51 166
PS-MVSNAJss93.74 10493.51 9294.44 15393.91 25189.28 16197.75 4997.56 11092.50 8289.94 17296.54 12488.65 6898.18 16993.83 7690.90 19595.86 182
PMMVS92.86 13392.34 13094.42 15594.92 20286.73 22894.53 25096.38 20884.78 25594.27 8895.12 18883.13 13498.40 15491.47 11996.49 12498.12 119
MVSTER93.20 12092.81 11194.37 15696.56 12789.59 14897.06 10997.12 15591.24 11091.30 14195.96 14682.02 17498.05 19193.48 8290.55 20095.47 201
ACMM89.79 892.96 12892.50 12794.35 15796.30 14088.71 16997.58 6997.36 13791.40 10690.53 15296.65 11379.77 21198.75 13191.24 12491.64 18295.59 198
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CHOSEN 280x42093.12 12292.72 11794.34 15896.71 12187.27 21590.29 30397.72 9386.61 23391.34 13895.29 18084.29 12198.41 15393.25 8798.94 6497.35 151
CLD-MVS92.98 12792.53 12594.32 15996.12 15289.20 16395.28 23697.47 11892.66 7989.90 17395.62 16880.58 19898.40 15492.73 9292.40 16995.38 210
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
testing_287.33 25985.03 26694.22 16087.77 30989.32 16094.97 24397.11 15789.22 15471.64 31188.73 29755.16 31697.94 21291.95 10488.73 21995.41 204
LTVRE_ROB88.41 1390.99 19589.92 20394.19 16196.18 14589.55 15096.31 18397.09 15887.88 20285.67 25295.91 14978.79 22998.57 14381.50 26589.98 20694.44 260
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
pmmvs490.93 19789.85 20694.17 16293.34 26890.79 12194.60 24796.02 22284.62 25687.45 23195.15 18581.88 17897.45 25187.70 17787.87 22594.27 266
TR-MVS91.48 17690.59 18194.16 16396.40 13687.33 21395.67 21895.34 25587.68 20791.46 13495.52 17476.77 24198.35 15882.85 25693.61 15996.79 161
LPG-MVS_test92.94 12992.56 12294.10 16496.16 14788.26 17997.65 6097.46 12091.29 10790.12 16697.16 9379.05 22298.73 13292.25 9691.89 17995.31 214
LGP-MVS_train94.10 16496.16 14788.26 17997.46 12091.29 10790.12 16697.16 9379.05 22298.73 13292.25 9691.89 17995.31 214
mvs_anonymous93.82 10193.74 8494.06 16696.44 13585.41 24495.81 21397.05 16489.85 14290.09 16996.36 13387.44 8697.75 23293.97 6996.69 12099.02 61
ACMP89.59 1092.62 13992.14 13294.05 16796.40 13688.20 18597.36 8497.25 14591.52 9988.30 21796.64 11478.46 23298.72 13491.86 10991.48 18695.23 221
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
jajsoiax92.42 14291.89 14094.03 16893.33 27088.50 17497.73 5297.53 11192.00 9188.85 20796.50 12675.62 24998.11 17593.88 7491.56 18595.48 199
test_djsdf93.07 12492.76 11294.00 16993.49 26488.70 17098.22 2697.57 10791.42 10490.08 17095.55 17282.85 15497.92 21694.07 6791.58 18495.40 208
AllTest90.23 21788.98 22493.98 17097.94 8386.64 22996.51 16595.54 24585.38 24485.49 25496.77 10570.28 27999.15 10280.02 27292.87 16396.15 173
TestCases93.98 17097.94 8386.64 22995.54 24585.38 24485.49 25496.77 10570.28 27999.15 10280.02 27292.87 16396.15 173
anonymousdsp92.16 15191.55 14893.97 17292.58 28789.55 15097.51 7297.42 13089.42 15088.40 21494.84 19380.66 19797.88 22191.87 10891.28 19094.48 258
pm-mvs190.72 20589.65 21593.96 17394.29 22689.63 14597.79 4796.82 19089.07 16386.12 25095.48 17578.61 23097.78 22986.97 19781.67 28294.46 259
WR-MVS_H92.00 15691.35 15193.95 17495.09 19489.47 15498.04 3598.68 791.46 10288.34 21594.68 20085.86 10397.56 24485.77 21584.24 26294.82 245
CR-MVSNet90.82 20089.77 20993.95 17494.45 22087.19 21990.23 30495.68 24086.89 22892.40 11592.36 26780.91 19297.05 26681.09 26893.95 15497.60 144
RPMNet88.52 24486.72 25693.95 17494.45 22087.19 21990.23 30494.99 27077.87 30392.40 11587.55 30880.17 20797.05 26668.84 30593.95 15497.60 144
mvs_tets92.31 14591.76 14293.94 17793.41 26688.29 17797.63 6497.53 11192.04 8988.76 20896.45 12974.62 25698.09 17893.91 7291.48 18695.45 203
BH-untuned92.94 12992.62 12093.92 17897.22 10186.16 23696.40 17496.25 21490.06 13789.79 18096.17 14083.19 13098.35 15887.19 19397.27 10597.24 152
ACMH87.59 1690.53 21189.42 21893.87 17996.21 14287.92 20497.24 9396.94 18188.45 18583.91 26796.27 13671.92 26898.62 13984.43 23589.43 21195.05 232
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CP-MVSNet91.89 15891.24 15793.82 18095.05 19588.57 17297.82 4598.19 3191.70 9688.21 22095.76 16081.96 17597.52 24787.86 17384.65 25995.37 211
v2v48291.59 17090.85 17093.80 18193.87 25388.17 18796.94 12296.88 18789.54 14689.53 19294.90 19181.70 18198.02 19889.25 14785.04 25395.20 222
COLMAP_ROBcopyleft87.81 1590.40 21389.28 22093.79 18297.95 8287.13 22196.92 12495.89 23382.83 27386.88 24697.18 9273.77 26399.29 9278.44 28193.62 15894.95 233
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
v114191.61 16790.89 16593.78 18394.01 24688.24 18196.96 11696.96 17789.17 15989.75 18294.29 21982.99 14698.03 19588.85 15985.00 25495.07 227
divwei89l23v2f11291.61 16790.89 16593.78 18394.01 24688.22 18396.96 11696.96 17789.17 15989.75 18294.28 22183.02 14498.03 19588.86 15884.98 25695.08 225
v191.61 16790.89 16593.78 18394.01 24688.21 18496.96 11696.96 17789.17 15989.78 18194.29 21982.97 14898.05 19188.85 15984.99 25595.08 225
v1neww91.70 16391.01 16293.75 18694.19 22888.14 19097.20 9996.98 17389.18 15789.87 17694.44 20983.10 13698.06 18889.06 15385.09 24995.06 230
v7new91.70 16391.01 16293.75 18694.19 22888.14 19097.20 9996.98 17389.18 15789.87 17694.44 20983.10 13698.06 18889.06 15385.09 24995.06 230
v691.69 16591.00 16493.75 18694.14 23388.12 19297.20 9996.98 17389.19 15589.90 17394.42 21183.04 14298.07 18389.07 15285.10 24895.07 227
V4291.58 17190.87 16893.73 18994.05 24588.50 17497.32 8896.97 17688.80 17789.71 18494.33 21682.54 16198.05 19189.01 15585.07 25194.64 255
PVSNet86.66 1892.24 14991.74 14593.73 18997.77 8883.69 26392.88 28296.72 19387.91 20193.00 10594.86 19278.51 23199.05 11186.53 20097.45 10098.47 104
MIMVSNet88.50 24686.76 25493.72 19194.84 20687.77 20891.39 29494.05 29186.41 23487.99 22392.59 26063.27 30195.82 29277.44 28392.84 16597.57 146
Patchmatch-test89.42 23187.99 23593.70 19295.27 18285.11 24688.98 31094.37 28381.11 28687.10 24193.69 23782.28 16897.50 24874.37 29294.76 14898.48 103
PS-CasMVS91.55 17390.84 17293.69 19394.96 19988.28 17897.84 4498.24 2691.46 10288.04 22295.80 15579.67 21397.48 24987.02 19684.54 26095.31 214
v114491.37 18290.60 18093.68 19493.89 25288.23 18296.84 12897.03 17088.37 18889.69 18694.39 21282.04 17397.98 20387.80 17585.37 24394.84 241
v791.47 17790.73 17693.68 19494.13 23488.16 18897.09 10897.05 16488.38 18789.80 17994.52 20482.21 17098.01 19988.00 17085.42 24294.87 239
GG-mvs-BLEND93.62 19693.69 25889.20 16392.39 29083.33 32787.98 22489.84 28371.00 27596.87 27282.08 26495.40 13994.80 247
Patchmatch-test191.54 17490.85 17093.59 19795.59 16784.95 25094.72 24695.58 24490.82 11792.25 12193.58 24275.80 24697.41 25583.35 24995.98 13098.40 109
PatchmatchNetpermissive91.91 15791.35 15193.59 19795.38 17584.11 25893.15 27895.39 24989.54 14692.10 12593.68 23882.82 15598.13 17284.81 22795.32 14098.52 95
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v119291.07 19290.23 19293.58 19993.70 25787.82 20796.73 14197.07 16187.77 20489.58 18994.32 21780.90 19597.97 20686.52 20185.48 24094.95 233
v891.29 18690.53 18293.57 20094.15 23288.12 19297.34 8597.06 16388.99 16688.32 21694.26 22583.08 13898.01 19987.62 18383.92 26794.57 256
ADS-MVSNet89.89 22488.68 22893.53 20195.86 15884.89 25190.93 29995.07 26783.23 27191.28 14491.81 27479.01 22697.85 22279.52 27491.39 18897.84 131
v1091.04 19490.23 19293.49 20294.12 23688.16 18897.32 8897.08 16088.26 19188.29 21894.22 22682.17 17297.97 20686.45 20384.12 26394.33 263
EI-MVSNet93.03 12692.88 11093.48 20395.77 16386.98 22496.44 16697.12 15590.66 12491.30 14197.64 7286.56 9398.05 19189.91 13390.55 20095.41 204
PEN-MVS91.20 18890.44 18393.48 20394.49 21887.91 20697.76 4898.18 3391.29 10787.78 22595.74 16280.35 20397.33 26085.46 22082.96 27695.19 223
mvs-test193.63 10793.69 8693.46 20596.02 15484.61 25497.24 9396.72 19393.85 4292.30 12095.76 16083.08 13898.89 11991.69 11496.54 12396.87 159
v7n90.76 20189.86 20593.45 20693.54 26187.60 21297.70 5697.37 13588.85 17187.65 22994.08 22981.08 18798.10 17684.68 23083.79 27094.66 254
v14419291.06 19390.28 18893.39 20793.66 25987.23 21896.83 12997.07 16187.43 21189.69 18694.28 22181.48 18298.00 20287.18 19484.92 25794.93 237
DWT-MVSNet_test90.76 20189.89 20493.38 20895.04 19683.70 26295.85 21194.30 28688.19 19490.46 15492.80 25673.61 26498.50 14988.16 16790.58 19997.95 125
EPMVS90.70 20789.81 20893.37 20994.73 21184.21 25693.67 26888.02 32089.50 14892.38 11793.49 24677.82 23897.78 22986.03 21192.68 16698.11 122
IterMVS-LS92.29 14791.94 13993.34 21096.25 14186.97 22596.57 16497.05 16490.67 12289.50 19494.80 19686.59 9297.64 24089.91 13386.11 23795.40 208
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
BH-w/o92.14 15391.75 14393.31 21196.99 11285.73 23995.67 21895.69 23988.73 17989.26 20294.82 19582.97 14898.07 18385.26 22396.32 12796.13 175
v192192090.85 19990.03 19993.29 21293.55 26086.96 22696.74 14097.04 16887.36 21389.52 19394.34 21580.23 20697.97 20686.27 20485.21 24694.94 235
ACMH+87.92 1490.20 21889.18 22293.25 21396.48 13386.45 23396.99 11496.68 19888.83 17384.79 25896.22 13770.16 28198.53 14684.42 23688.04 22394.77 251
v124090.70 20789.85 20693.23 21493.51 26386.80 22796.61 15997.02 17187.16 21789.58 18994.31 21879.55 21597.98 20385.52 21985.44 24194.90 238
PatchT88.87 23787.42 24293.22 21594.08 24285.10 24789.51 30894.64 27881.92 27992.36 11888.15 30380.05 20897.01 27072.43 29793.65 15797.54 147
Fast-Effi-MVS+-dtu92.29 14791.99 13793.21 21695.27 18285.52 24397.03 11096.63 20292.09 8889.11 20495.14 18680.33 20498.08 17987.54 18594.74 15096.03 179
PatchFormer-LS_test91.68 16691.18 16193.19 21795.24 18683.63 26495.53 22695.44 24889.82 14391.37 13692.58 26180.85 19698.52 14789.65 14090.16 20597.42 150
XVG-ACMP-BASELINE90.93 19790.21 19493.09 21894.31 22585.89 23795.33 23397.26 14391.06 11589.38 19695.44 17668.61 28598.60 14089.46 14391.05 19394.79 249
TransMVSNet (Re)88.94 23487.56 23793.08 21994.35 22388.45 17697.73 5295.23 26087.47 21084.26 26295.29 18079.86 21097.33 26079.44 27774.44 31093.45 275
DTE-MVSNet90.56 21089.75 21193.01 22093.95 24987.25 21697.64 6397.65 10190.74 11987.12 23995.68 16679.97 20997.00 27183.33 25181.66 28394.78 250
EPNet_dtu91.71 16091.28 15592.99 22193.76 25683.71 26196.69 15195.28 25693.15 6287.02 24395.95 14783.37 12997.38 25879.46 27696.84 11397.88 130
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Baseline_NR-MVSNet91.20 18890.62 17992.95 22293.83 25488.03 19897.01 11395.12 26588.42 18689.70 18595.13 18783.47 12797.44 25289.66 13983.24 27493.37 277
pmmvs589.86 22688.87 22692.82 22392.86 28186.23 23596.26 18795.39 24984.24 25987.12 23994.51 20574.27 25897.36 25987.61 18487.57 22794.86 240
v5290.70 20790.00 20092.82 22393.24 27287.03 22297.60 6697.14 15288.21 19287.69 22793.94 23180.91 19298.07 18387.39 18783.87 26993.36 278
V490.71 20690.00 20092.82 22393.21 27587.03 22297.59 6897.16 15188.21 19287.69 22793.92 23380.93 19198.06 18887.39 18783.90 26893.39 276
v14890.99 19590.38 18592.81 22693.83 25485.80 23896.78 13896.68 19889.45 14988.75 20993.93 23282.96 15097.82 22687.83 17483.25 27394.80 247
Patchmtry88.64 24287.25 24692.78 22794.09 24086.64 22989.82 30795.68 24080.81 29087.63 23092.36 26780.91 19297.03 26878.86 27985.12 24794.67 253
v74890.34 21489.54 21692.75 22893.25 27185.71 24097.61 6597.17 14888.54 18487.20 23893.54 24381.02 18898.01 19985.73 21781.80 28094.52 257
MVP-Stereo90.74 20490.08 19692.71 22993.19 27788.20 18595.86 21096.27 21286.07 23984.86 25794.76 19777.84 23797.75 23283.88 24698.01 8392.17 300
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
pmmvs687.81 25686.19 25892.69 23091.32 29486.30 23497.34 8596.41 20780.59 29284.05 26694.37 21467.37 29297.67 23784.75 22879.51 29094.09 268
Effi-MVS+-dtu93.08 12393.21 10492.68 23196.02 15483.25 26697.14 10696.72 19393.85 4291.20 14793.44 24983.08 13898.30 16291.69 11495.73 13696.50 167
CostFormer91.18 19190.70 17792.62 23294.84 20681.76 27594.09 26194.43 28084.15 26092.72 11393.77 23679.43 21798.20 16690.70 12792.18 17497.90 127
tpmp4_e2389.58 22888.59 22992.54 23395.16 19081.53 27694.11 26095.09 26681.66 28188.60 21193.44 24975.11 25198.33 16182.45 26191.72 18197.75 135
LCM-MVSNet-Re92.50 14092.52 12692.44 23496.82 11881.89 27496.92 12493.71 29692.41 8484.30 26194.60 20385.08 11197.03 26891.51 11797.36 10298.40 109
ITE_SJBPF92.43 23595.34 17785.37 24595.92 22691.47 10187.75 22696.39 13271.00 27597.96 21082.36 26289.86 20993.97 269
v1888.71 23987.52 23892.27 23694.16 23188.11 19496.82 13295.96 22387.03 21980.76 28389.81 28483.15 13296.22 27984.69 22975.31 30192.49 287
USDC88.94 23487.83 23692.27 23694.66 21284.96 24993.86 26495.90 22887.34 21483.40 26995.56 17167.43 29198.19 16882.64 26089.67 21093.66 272
v1788.67 24187.47 24192.26 23894.13 23488.09 19696.81 13395.95 22487.02 22080.72 28489.75 28683.11 13596.20 28084.61 23275.15 30392.49 287
v1688.69 24087.50 23992.26 23894.19 22888.11 19496.81 13395.95 22487.01 22180.71 28589.80 28583.08 13896.20 28084.61 23275.34 30092.48 289
tpm289.96 22289.21 22192.23 24094.91 20481.25 27893.78 26594.42 28180.62 29191.56 13293.44 24976.44 24397.94 21285.60 21892.08 17897.49 148
v1588.53 24387.31 24392.20 24194.09 24088.05 19796.72 14495.90 22887.01 22180.53 28889.60 29083.02 14496.13 28284.29 23774.64 30492.41 293
V988.49 24787.26 24592.18 24294.12 23687.97 20296.73 14195.90 22886.95 22580.40 29189.61 28882.98 14796.13 28284.14 23974.55 30792.44 291
v1288.46 24887.23 24892.17 24394.10 23987.99 19996.71 14695.90 22886.91 22680.34 29389.58 29182.92 15196.11 28684.09 24074.50 30992.42 292
V1488.52 24487.30 24492.17 24394.12 23687.99 19996.72 14495.91 22786.98 22380.50 28989.63 28783.03 14396.12 28484.23 23874.60 30692.40 294
v1388.45 24987.22 24992.16 24594.08 24287.95 20396.71 14695.90 22886.86 23080.27 29589.55 29282.92 15196.12 28484.02 24274.63 30592.40 294
test-LLR91.42 17991.19 16092.12 24694.59 21580.66 28194.29 25592.98 30391.11 11390.76 15092.37 26479.02 22498.07 18388.81 16196.74 11797.63 139
test-mter90.19 21989.54 21692.12 24694.59 21580.66 28194.29 25592.98 30387.68 20790.76 15092.37 26467.67 28998.07 18388.81 16196.74 11797.63 139
v1188.41 25087.19 25292.08 24894.08 24287.77 20896.75 13995.85 23486.74 23180.50 28989.50 29382.49 16396.08 28783.55 24875.20 30292.38 296
ADS-MVSNet289.45 23088.59 22992.03 24995.86 15882.26 27290.93 29994.32 28583.23 27191.28 14491.81 27479.01 22695.99 28879.52 27491.39 18897.84 131
TESTMET0.1,190.06 22189.42 21891.97 25094.41 22280.62 28394.29 25591.97 31087.28 21690.44 15592.47 26368.79 28497.67 23788.50 16596.60 12297.61 143
JIA-IIPM88.26 25287.04 25391.91 25193.52 26281.42 27789.38 30994.38 28280.84 28990.93 14980.74 31579.22 21997.92 21682.76 25791.62 18396.38 168
tpmvs89.83 22789.15 22391.89 25294.92 20280.30 28793.11 27995.46 24786.28 23588.08 22192.65 25880.44 20198.52 14781.47 26689.92 20896.84 160
TDRefinement86.53 26484.76 26991.85 25382.23 31984.25 25596.38 17695.35 25284.97 25284.09 26594.94 18965.76 29898.34 16084.60 23474.52 30892.97 279
semantic-postprocess91.82 25495.52 16984.20 25796.15 21990.61 12887.39 23494.27 22375.63 24896.44 27587.34 18986.88 23494.82 245
tpm cat188.36 25187.21 25091.81 25595.13 19280.55 28492.58 28695.70 23874.97 30987.45 23191.96 27278.01 23698.17 17080.39 27188.74 21896.72 163
tpmrst91.44 17891.32 15391.79 25695.15 19179.20 29693.42 27295.37 25188.55 18393.49 9993.67 23982.49 16398.27 16390.41 12989.34 21297.90 127
MS-PatchMatch90.27 21589.77 20991.78 25794.33 22484.72 25395.55 22496.73 19286.17 23886.36 24895.28 18271.28 27397.80 22784.09 24098.14 8192.81 283
FMVSNet587.29 26085.79 26191.78 25794.80 20887.28 21495.49 22895.28 25684.09 26183.85 26891.82 27362.95 30294.17 30478.48 28085.34 24493.91 270
EG-PatchMatch MVS87.02 26285.44 26391.76 25992.67 28585.00 24896.08 20096.45 20683.41 27079.52 29893.49 24657.10 31197.72 23479.34 27890.87 19692.56 285
tpm90.25 21689.74 21291.76 25993.92 25079.73 29293.98 26293.54 30088.28 19091.99 12793.25 25277.51 23997.44 25287.30 19187.94 22498.12 119
IterMVS90.15 22089.67 21391.61 26195.48 17183.72 26094.33 25496.12 22089.99 13887.31 23794.15 22775.78 24796.27 27886.97 19786.89 23394.83 243
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
pmmvs-eth3d86.22 26784.45 27091.53 26288.34 30687.25 21694.47 25195.01 26883.47 26979.51 29989.61 28869.75 28295.71 29383.13 25376.73 29691.64 302
test_040286.46 26584.79 26891.45 26395.02 19785.55 24296.29 18594.89 27480.90 28782.21 27193.97 23068.21 28897.29 26262.98 31188.68 22091.51 304
OurMVSNet-221017-090.51 21290.19 19591.44 26493.41 26681.25 27896.98 11596.28 21191.68 9786.55 24796.30 13474.20 25997.98 20388.96 15687.40 23195.09 224
test0.0.03 189.37 23288.70 22791.41 26592.47 28885.63 24195.22 24092.70 30691.11 11386.91 24593.65 24079.02 22493.19 30978.00 28289.18 21395.41 204
TinyColmap86.82 26385.35 26591.21 26694.91 20482.99 26793.94 26394.02 29383.58 26781.56 27894.68 20062.34 30498.13 17275.78 28987.35 23292.52 286
MDA-MVSNet-bldmvs85.00 27482.95 27691.17 26793.13 27983.33 26594.56 24995.00 26984.57 25765.13 31792.65 25870.45 27895.85 29073.57 29577.49 29394.33 263
SixPastTwentyTwo89.15 23388.54 23190.98 26893.49 26480.28 28896.70 14994.70 27790.78 11884.15 26495.57 17071.78 27097.71 23584.63 23185.07 25194.94 235
LP84.13 27781.85 28290.97 26993.20 27682.12 27387.68 31494.27 28876.80 30481.93 27488.52 29872.97 26795.95 28959.53 31681.73 28194.84 241
PVSNet_082.17 1985.46 27383.64 27490.92 27095.27 18279.49 29390.55 30295.60 24283.76 26683.00 27089.95 28171.09 27497.97 20682.75 25860.79 32095.31 214
OpenMVS_ROBcopyleft81.14 2084.42 27682.28 27790.83 27190.06 29984.05 25995.73 21794.04 29273.89 31280.17 29791.53 27859.15 30897.64 24066.92 30789.05 21490.80 307
Patchmatch-RL test87.38 25886.24 25790.81 27288.74 30578.40 29988.12 31393.17 30287.11 21882.17 27289.29 29481.95 17695.60 29588.64 16477.02 29498.41 108
dp88.90 23688.26 23490.81 27294.58 21776.62 30192.85 28394.93 27385.12 24990.07 17193.07 25375.81 24598.12 17480.53 27087.42 23097.71 137
MDA-MVSNet_test_wron85.87 27084.23 27290.80 27492.38 28982.57 26893.17 27695.15 26382.15 27767.65 31392.33 27078.20 23495.51 29777.33 28479.74 28894.31 265
YYNet185.87 27084.23 27290.78 27592.38 28982.46 27093.17 27695.14 26482.12 27867.69 31292.36 26778.16 23595.50 29877.31 28579.73 28994.39 261
UnsupCasMVSNet_eth85.99 26984.45 27090.62 27689.97 30082.40 27193.62 27097.37 13589.86 14078.59 30192.37 26465.25 29995.35 29982.27 26370.75 31394.10 267
MIMVSNet184.93 27583.05 27590.56 27789.56 30384.84 25295.40 23195.35 25283.91 26280.38 29292.21 27157.23 31093.34 30870.69 30482.75 27993.50 273
lessismore_v090.45 27891.96 29279.09 29787.19 32380.32 29494.39 21266.31 29597.55 24584.00 24476.84 29594.70 252
RPSCF90.75 20390.86 16990.42 27996.84 11576.29 30295.61 22396.34 20983.89 26391.38 13597.87 5276.45 24298.78 12787.16 19592.23 17196.20 170
K. test v387.64 25786.75 25590.32 28093.02 28079.48 29496.61 15992.08 30990.66 12480.25 29694.09 22867.21 29396.65 27485.96 21380.83 28794.83 243
testgi87.97 25387.21 25090.24 28192.86 28180.76 28096.67 15394.97 27191.74 9585.52 25395.83 15362.66 30394.47 30376.25 28888.36 22295.48 199
UnsupCasMVSNet_bld82.13 28479.46 28690.14 28288.00 30782.47 26990.89 30196.62 20378.94 29775.61 30484.40 31356.63 31296.31 27777.30 28666.77 31991.63 303
LF4IMVS87.94 25487.25 24689.98 28392.38 28980.05 29194.38 25295.25 25987.59 20984.34 26094.74 19964.31 30097.66 23984.83 22687.45 22892.23 298
Anonymous2023120687.09 26186.14 25989.93 28491.22 29580.35 28596.11 19795.35 25283.57 26884.16 26393.02 25473.54 26595.61 29472.16 29886.14 23693.84 271
CVMVSNet91.23 18791.75 14389.67 28595.77 16374.69 30496.44 16694.88 27585.81 24192.18 12397.64 7279.07 22195.58 29688.06 16995.86 13498.74 83
test20.0386.14 26885.40 26488.35 28690.12 29880.06 29095.90 20995.20 26188.59 18081.29 27993.62 24171.43 27292.65 31071.26 30281.17 28592.34 297
PM-MVS83.48 27881.86 28188.31 28787.83 30877.59 30093.43 27191.75 31186.91 22680.63 28689.91 28244.42 32295.84 29185.17 22576.73 29691.50 305
EU-MVSNet88.72 23888.90 22588.20 28893.15 27874.21 30596.63 15894.22 28985.18 24787.32 23695.97 14576.16 24494.98 30185.27 22286.17 23595.41 204
new_pmnet82.89 28081.12 28588.18 28989.63 30280.18 28991.77 29392.57 30776.79 30575.56 30588.23 30261.22 30694.48 30271.43 30082.92 27789.87 309
CMPMVSbinary62.92 2185.62 27284.92 26787.74 29089.14 30473.12 30894.17 25896.80 19173.98 31173.65 30794.93 19066.36 29497.61 24283.95 24591.28 19092.48 289
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
pmmvs379.97 28677.50 29087.39 29182.80 31779.38 29592.70 28590.75 31570.69 31578.66 30087.47 30951.34 31993.40 30773.39 29669.65 31589.38 310
new-patchmatchnet83.18 27981.87 28087.11 29286.88 31175.99 30393.70 26695.18 26285.02 25177.30 30388.40 30065.99 29693.88 30674.19 29470.18 31491.47 306
DSMNet-mixed86.34 26686.12 26087.00 29389.88 30170.43 31094.93 24490.08 31777.97 30285.42 25692.78 25774.44 25793.96 30574.43 29195.14 14296.62 164
Anonymous2023121178.22 29075.30 29186.99 29486.14 31274.16 30695.62 22293.88 29566.43 31674.44 30687.86 30541.39 32395.11 30062.49 31269.46 31691.71 301
ambc86.56 29583.60 31670.00 31485.69 31794.97 27180.60 28788.45 29937.42 32496.84 27382.69 25975.44 29992.86 280
MVS-HIRNet82.47 28381.21 28486.26 29695.38 17569.21 31588.96 31189.49 31966.28 31780.79 28274.08 32068.48 28697.39 25771.93 29995.47 13892.18 299
test235682.77 28182.14 27984.65 29785.77 31370.36 31191.22 29793.69 29981.58 28381.82 27589.00 29660.63 30790.77 31664.74 30990.80 19792.82 281
testus82.63 28282.15 27884.07 29887.31 31067.67 31693.18 27494.29 28782.47 27582.14 27390.69 27953.01 31791.94 31366.30 30889.96 20792.62 284
test123567879.82 28778.53 28883.69 29982.55 31867.55 31792.50 28894.13 29079.28 29572.10 31086.45 31157.27 30990.68 31761.60 31480.90 28692.82 281
LCM-MVSNet72.55 29269.39 29582.03 30070.81 32965.42 32090.12 30694.36 28455.02 32165.88 31681.72 31424.16 33389.96 31874.32 29368.10 31790.71 308
no-one68.12 29663.78 29981.13 30174.01 32470.22 31387.61 31590.71 31672.63 31453.13 32271.89 32130.29 32791.45 31461.53 31532.21 32581.72 317
111178.29 28977.55 28980.50 30283.89 31459.98 32491.89 29193.71 29675.06 30773.60 30887.67 30655.66 31392.60 31158.54 31877.92 29288.93 311
PMMVS270.19 29566.92 29780.01 30376.35 32165.67 31986.22 31687.58 32264.83 31962.38 31880.29 31726.78 33188.49 32263.79 31054.07 32185.88 314
testpf80.97 28581.40 28379.65 30491.53 29372.43 30973.47 32589.55 31878.63 29880.81 28189.06 29561.36 30591.36 31583.34 25084.89 25875.15 320
testmv72.22 29370.02 29378.82 30573.06 32761.75 32291.24 29692.31 30874.45 31061.06 31980.51 31634.21 32588.63 32155.31 32168.07 31886.06 313
N_pmnet78.73 28878.71 28778.79 30692.80 28346.50 33294.14 25943.71 33578.61 29980.83 28091.66 27774.94 25596.36 27667.24 30684.45 26193.50 273
test1235674.97 29174.13 29277.49 30778.81 32056.23 32888.53 31292.75 30575.14 30667.50 31485.07 31244.88 32189.96 31858.71 31775.75 29886.26 312
ANet_high63.94 29959.58 30077.02 30861.24 33266.06 31885.66 31887.93 32178.53 30042.94 32471.04 32225.42 33280.71 32652.60 32330.83 32784.28 315
FPMVS71.27 29469.85 29475.50 30974.64 32259.03 32691.30 29591.50 31258.80 32057.92 32088.28 30129.98 32985.53 32453.43 32282.84 27881.95 316
Gipumacopyleft67.86 29765.41 29875.18 31092.66 28673.45 30766.50 32794.52 27953.33 32257.80 32166.07 32430.81 32689.20 32048.15 32578.88 29162.90 324
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
DeepMVS_CXcopyleft74.68 31190.84 29664.34 32181.61 33065.34 31867.47 31588.01 30448.60 32080.13 32762.33 31373.68 31279.58 318
wuykxyi23d56.92 30251.11 30674.38 31262.30 33161.47 32380.09 32284.87 32549.62 32430.80 33057.20 3287.03 33682.94 32555.69 32032.36 32478.72 319
PNet_i23d59.01 30055.87 30168.44 31373.98 32551.37 32981.36 32182.41 32852.37 32342.49 32670.39 32311.39 33479.99 32849.77 32438.71 32373.97 321
PMVScopyleft53.92 2258.58 30155.40 30268.12 31451.00 33348.64 33078.86 32387.10 32446.77 32535.84 32974.28 3198.76 33586.34 32342.07 32673.91 31169.38 322
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive50.73 2353.25 30448.81 30766.58 31565.34 33057.50 32772.49 32670.94 33340.15 32839.28 32863.51 3256.89 33873.48 33138.29 32742.38 32268.76 323
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN53.28 30352.56 30455.43 31674.43 32347.13 33183.63 32076.30 33142.23 32642.59 32562.22 32628.57 33074.40 32931.53 32831.51 32644.78 325
EMVS52.08 30551.31 30554.39 31772.62 32845.39 33383.84 31975.51 33241.13 32740.77 32759.65 32730.08 32873.60 33028.31 32929.90 32844.18 326
.test124565.38 29869.22 29653.86 31883.89 31459.98 32491.89 29193.71 29675.06 30773.60 30887.67 30655.66 31392.60 31158.54 3182.96 3319.00 329
tmp_tt51.94 30653.82 30346.29 31933.73 33445.30 33478.32 32467.24 33418.02 32950.93 32387.05 31052.99 31853.11 33270.76 30325.29 32940.46 327
pcd1.5k->3k38.37 30740.51 30831.96 32094.29 2260.00 3380.00 32997.69 970.00 3330.00 3340.00 33581.45 1830.00 3360.00 33391.11 19295.89 181
wuyk23d25.11 30824.57 31026.74 32173.98 32539.89 33557.88 3289.80 33612.27 33010.39 3316.97 3347.03 33636.44 33325.43 33017.39 3303.89 331
test12313.04 31115.66 3125.18 3224.51 3363.45 33692.50 2881.81 3382.50 3327.58 33320.15 3313.67 3392.18 3357.13 3321.07 3339.90 328
testmvs13.36 31016.33 3114.48 3235.04 3352.26 33793.18 2743.28 3372.70 3318.24 33221.66 3302.29 3402.19 3347.58 3312.96 3319.00 329
cdsmvs_eth3d_5k23.24 30930.99 3090.00 3240.00 3370.00 3380.00 32997.63 1030.00 3330.00 33496.88 10284.38 1200.00 3360.00 3330.00 3340.00 332
pcd_1.5k_mvsjas7.39 3139.85 3140.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 33588.65 680.00 3360.00 3330.00 3340.00 332
sosnet-low-res0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
sosnet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
uncertanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
Regformer0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
ab-mvs-re8.06 31210.74 3130.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 33496.69 1110.00 3410.00 3360.00 3330.00 3340.00 332
uanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3340.00 332
sam_mvs182.76 156
sam_mvs81.94 177
MTGPAbinary98.08 47
test_post192.81 28416.58 33380.53 19997.68 23686.20 206
test_post17.58 33281.76 17998.08 179
patchmatchnet-post90.45 28082.65 16098.10 176
MTMP82.03 329
gm-plane-assit93.22 27478.89 29884.82 25493.52 24498.64 13687.72 176
test9_res94.81 5999.38 3399.45 28
TEST998.70 3694.19 2196.41 17098.02 6488.17 19696.03 5297.56 8092.74 1299.59 49
test_898.67 3894.06 2796.37 17798.01 6688.58 18195.98 5797.55 8292.73 1399.58 53
agg_prior293.94 7199.38 3399.50 22
agg_prior98.67 3893.79 3498.00 6895.68 6699.57 61
test_prior493.66 3896.42 169
test_prior296.35 17892.80 7796.03 5297.59 7692.01 2895.01 5299.38 33
旧先验295.94 20781.66 28197.34 1598.82 12492.26 94
新几何295.79 214
旧先验198.38 5893.38 4697.75 8898.09 4192.30 2599.01 6199.16 50
无先验95.79 21497.87 8083.87 26599.65 3787.68 17998.89 77
原ACMM295.67 218
test22298.24 6992.21 7395.33 23397.60 10479.22 29695.25 7497.84 5788.80 6699.15 5198.72 85
testdata299.67 3585.96 213
segment_acmp92.89 10
testdata195.26 23993.10 65
plane_prior796.21 14289.98 136
plane_prior696.10 15390.00 13281.32 185
plane_prior597.51 11398.60 14093.02 8992.23 17195.86 182
plane_prior496.64 114
plane_prior390.00 13294.46 2991.34 138
plane_prior297.74 5094.85 16
plane_prior196.14 150
plane_prior89.99 13497.24 9394.06 3892.16 175
n20.00 339
nn0.00 339
door-mid91.06 314
test1197.88 78
door91.13 313
HQP5-MVS89.33 158
HQP-NCC95.86 15896.65 15493.55 4890.14 160
ACMP_Plane95.86 15896.65 15493.55 4890.14 160
BP-MVS92.13 100
HQP4-MVS90.14 16098.50 14995.78 189
HQP3-MVS97.39 13292.10 176
HQP2-MVS80.95 189
NP-MVS95.99 15689.81 14295.87 150
MDTV_nov1_ep13_2view70.35 31293.10 28083.88 26493.55 9882.47 16586.25 20598.38 112
MDTV_nov1_ep1390.76 17495.22 18780.33 28693.03 28195.28 25688.14 19792.84 11293.83 23481.34 18498.08 17982.86 25594.34 153
ACMMP++_ref90.30 204
ACMMP++91.02 194
Test By Simon88.73 67