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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort by
EPNet95.20 9194.56 9897.14 7192.80 33492.68 8997.85 7094.87 32196.64 192.46 16897.80 9386.23 13499.65 5793.72 11698.62 10499.10 88
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
NCCC97.30 1597.03 1898.11 1798.77 6195.06 2697.34 12398.04 8595.96 297.09 5197.88 8393.18 2499.71 4295.84 5999.17 8099.56 27
CNVR-MVS97.68 697.44 998.37 798.90 5595.86 697.27 13198.08 6895.81 397.87 2898.31 5194.26 1399.68 5197.02 1799.49 4099.57 24
HPM-MVS++copyleft97.34 1496.97 2198.47 599.08 4096.16 497.55 10497.97 10395.59 496.61 6797.89 8192.57 3599.84 2395.95 5499.51 3399.40 59
MSP-MVS97.59 897.54 697.73 4199.40 1293.77 6298.53 1398.29 2695.55 598.56 1497.81 9193.90 1599.65 5796.62 2899.21 7599.77 1
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
DeepPCF-MVS93.97 196.61 5197.09 1495.15 16598.09 11486.63 27196.00 24398.15 5595.43 697.95 2498.56 2093.40 2099.36 11796.77 2599.48 4199.45 51
CANet96.39 6096.02 6597.50 5397.62 14093.38 7197.02 15397.96 10495.42 794.86 12197.81 9187.38 12199.82 2996.88 2099.20 7699.29 68
xxxxxxxxxxxxxcwj97.36 1297.20 1297.83 2998.91 5394.28 3997.02 15397.22 19295.35 898.27 1898.65 1693.33 2199.72 3996.49 3399.52 2999.51 39
save fliter98.91 5394.28 3997.02 15398.02 9295.35 8
SteuartSystems-ACMMP97.62 797.53 797.87 2798.39 8794.25 4298.43 2198.27 3195.34 1098.11 2098.56 2094.53 1299.71 4296.57 3199.62 1599.65 12
Skip Steuart: Steuart Systems R&D Blog.
CS-MVS-test96.47 5696.62 4496.01 12498.18 10990.40 16898.40 2397.65 13895.33 1197.02 5596.79 14889.98 8898.72 17897.06 1499.18 7898.91 107
CS-MVS96.79 4497.05 1696.00 12598.17 11190.38 17099.09 397.89 10995.31 1297.02 5598.02 7591.74 5398.71 18097.06 1499.18 7898.90 109
Regformer-297.16 1996.99 2097.67 4698.32 9393.84 5796.83 17498.10 6595.24 1397.49 3198.25 5992.57 3599.61 6696.80 2299.29 6399.56 27
DELS-MVS96.61 5196.38 5797.30 6097.79 13093.19 7795.96 24598.18 5095.23 1495.87 9697.65 10491.45 6199.70 4795.87 5599.44 4899.00 99
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
Regformer-197.10 2196.96 2297.54 5298.32 9393.48 6896.83 17497.99 10195.20 1597.46 3298.25 5992.48 3999.58 7596.79 2499.29 6399.55 31
h-mvs3394.15 11593.52 12396.04 12197.81 12890.22 17297.62 9897.58 14695.19 1696.74 5897.45 11983.67 16999.61 6695.85 5779.73 34298.29 158
hse-mvs293.45 14292.99 13894.81 18397.02 16688.59 22396.69 18896.47 25395.19 1696.74 5896.16 18883.67 16998.48 20195.85 5779.13 34697.35 197
DPE-MVScopyleft97.86 497.65 598.47 599.17 3495.78 797.21 14098.35 2095.16 1898.71 1298.80 1195.05 1099.89 496.70 2799.73 199.73 9
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_one_060199.32 2495.20 2198.25 3695.13 1998.48 1698.87 695.16 7
SED-MVS98.05 297.99 198.24 1099.42 795.30 1898.25 3498.27 3195.13 1999.19 198.89 495.54 599.85 1897.52 599.66 1099.56 27
test_241102_TWO98.27 3195.13 1998.93 698.89 494.99 1199.85 1897.52 599.65 1299.74 7
Regformer-496.97 3096.87 2597.25 6498.34 9092.66 9096.96 16298.01 9595.12 2297.14 4798.42 3591.82 5199.61 6696.90 1999.13 8399.50 43
test_241102_ONE99.42 795.30 1898.27 3195.09 2399.19 198.81 1095.54 599.65 57
zzz-MVS97.07 2396.77 3697.97 2599.37 1794.42 3697.15 14698.08 6895.07 2496.11 8698.59 1890.88 7699.90 296.18 4799.50 3699.58 22
MTAPA97.08 2296.78 3597.97 2599.37 1794.42 3697.24 13398.08 6895.07 2496.11 8698.59 1890.88 7699.90 296.18 4799.50 3699.58 22
Regformer-396.85 3996.80 3397.01 7598.34 9092.02 11396.96 16297.76 12295.01 2697.08 5298.42 3591.71 5599.54 9096.80 2299.13 8399.48 47
FOURS199.55 193.34 7499.29 198.35 2094.98 2798.49 15
DVP-MVScopyleft97.91 397.81 398.22 1299.45 395.36 1398.21 4197.85 11894.92 2898.73 1098.87 695.08 899.84 2397.52 599.67 699.48 47
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test072699.45 395.36 1398.31 2798.29 2694.92 2898.99 498.92 295.08 8
XVS97.18 1796.96 2297.81 3399.38 1594.03 5498.59 1198.20 4694.85 3096.59 6998.29 5491.70 5699.80 3195.66 6399.40 5199.62 16
X-MVStestdata91.71 20489.67 26497.81 3399.38 1594.03 5498.59 1198.20 4694.85 3096.59 6932.69 37391.70 5699.80 3195.66 6399.40 5199.62 16
HQP_MVS93.78 13293.43 12894.82 18196.21 20589.99 17797.74 7997.51 15394.85 3091.34 19396.64 15981.32 21798.60 18993.02 13292.23 22095.86 235
plane_prior297.74 7994.85 30
SD-MVS97.41 1097.53 797.06 7498.57 7994.46 3497.92 6498.14 5794.82 3499.01 398.55 2294.18 1497.41 31196.94 1899.64 1399.32 66
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
UA-Net95.95 7395.53 7297.20 6997.67 13592.98 8397.65 9298.13 5894.81 3596.61 6798.35 4288.87 9799.51 9890.36 17897.35 14099.11 87
DeepC-MVS_fast93.89 296.93 3496.64 4397.78 3698.64 7494.30 3897.41 11598.04 8594.81 3596.59 6998.37 4091.24 6799.64 6595.16 7999.52 2999.42 58
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DVP-MVS++98.06 197.99 198.28 998.67 6695.39 1199.29 198.28 2894.78 3798.93 698.87 696.04 299.86 997.45 999.58 2299.59 20
test_0728_THIRD94.78 3798.73 1098.87 695.87 499.84 2397.45 999.72 299.77 1
APDe-MVS97.82 597.73 498.08 1899.15 3594.82 2998.81 698.30 2594.76 3998.30 1798.90 393.77 1799.68 5197.93 199.69 399.75 5
EI-MVSNet-Vis-set96.51 5496.47 5296.63 8398.24 10091.20 14096.89 16997.73 12694.74 4096.49 7398.49 2890.88 7699.58 7596.44 3598.32 11399.13 83
patch_mono-296.83 4197.44 995.01 17199.05 4385.39 29196.98 16098.77 594.70 4197.99 2398.66 1493.61 1999.91 197.67 499.50 3699.72 10
EI-MVSNet-UG-set96.34 6296.30 5896.47 9498.20 10590.93 15196.86 17097.72 12994.67 4296.16 8598.46 3090.43 8299.58 7596.23 4097.96 12398.90 109
MSLP-MVS++96.94 3397.06 1596.59 8698.72 6391.86 11797.67 8998.49 1394.66 4397.24 4298.41 3892.31 4298.94 15896.61 2999.46 4498.96 101
3Dnovator+91.43 495.40 8394.48 10398.16 1596.90 17195.34 1698.48 1997.87 11494.65 4488.53 27098.02 7583.69 16899.71 4293.18 12798.96 9499.44 53
ETV-MVS96.02 7095.89 6896.40 9997.16 15492.44 9797.47 11297.77 12194.55 4596.48 7494.51 26391.23 6898.92 15995.65 6698.19 11697.82 179
canonicalmvs96.02 7095.45 7697.75 4097.59 14395.15 2598.28 3097.60 14394.52 4696.27 8296.12 18987.65 11499.18 13196.20 4694.82 18898.91 107
plane_prior390.00 17594.46 4791.34 193
DROMVSNet96.42 5896.47 5296.26 11197.01 16791.52 12798.89 497.75 12394.42 4896.64 6597.68 10089.32 9298.60 18997.45 999.11 8898.67 129
UGNet94.04 12393.28 13396.31 10696.85 17291.19 14197.88 6697.68 13494.40 4993.00 16096.18 18573.39 30999.61 6691.72 15498.46 11098.13 162
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
alignmvs95.87 7595.23 8397.78 3697.56 14695.19 2297.86 6797.17 19594.39 5096.47 7596.40 17785.89 14099.20 12896.21 4595.11 18498.95 103
CANet_DTU94.37 11093.65 11896.55 8796.46 19592.13 10996.21 23296.67 24394.38 5193.53 14897.03 13979.34 25099.71 4290.76 17298.45 11197.82 179
Vis-MVSNetpermissive95.23 8994.81 9196.51 9197.18 15391.58 12598.26 3398.12 6094.38 5194.90 12098.15 6782.28 20198.92 15991.45 16398.58 10699.01 96
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS_111021_HR96.68 5096.58 4796.99 7698.46 8192.31 10296.20 23398.90 294.30 5395.86 9797.74 9692.33 4099.38 11696.04 5299.42 4999.28 71
TSAR-MVS + GP.96.69 4896.49 5197.27 6398.31 9593.39 7096.79 17896.72 23594.17 5497.44 3497.66 10392.76 2799.33 11896.86 2197.76 12999.08 89
3Dnovator91.36 595.19 9294.44 10597.44 5596.56 18893.36 7398.65 1098.36 1794.12 5589.25 25498.06 7282.20 20399.77 3393.41 12399.32 5999.18 78
plane_prior89.99 17797.24 13394.06 5692.16 224
casdiffmvs95.64 7895.49 7496.08 11796.76 18090.45 16597.29 13097.44 17194.00 5795.46 11497.98 7987.52 11898.73 17595.64 6797.33 14199.08 89
MVS_111021_LR96.24 6596.19 6396.39 10198.23 10491.35 13396.24 23198.79 493.99 5895.80 9997.65 10489.92 9099.24 12695.87 5599.20 7698.58 131
dcpmvs_296.37 6197.05 1694.31 20898.96 5084.11 30997.56 10297.51 15393.92 5997.43 3698.52 2592.75 2899.32 12097.32 1399.50 3699.51 39
DeepC-MVS93.07 396.06 6895.66 7197.29 6197.96 11893.17 7897.30 12998.06 7793.92 5993.38 15298.66 1486.83 12799.73 3695.60 7299.22 7498.96 101
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
VNet95.89 7495.45 7697.21 6898.07 11692.94 8497.50 10798.15 5593.87 6197.52 3097.61 11085.29 14799.53 9395.81 6095.27 18099.16 79
Effi-MVS+-dtu93.08 15593.21 13592.68 27896.02 21783.25 32097.14 14796.72 23593.85 6291.20 20393.44 31083.08 18098.30 21391.69 15795.73 17396.50 217
mvs-test193.63 13693.69 11693.46 25096.02 21784.61 30397.24 13396.72 23593.85 6292.30 17595.76 21083.08 18098.89 16391.69 15796.54 15996.87 208
PS-MVSNAJ95.37 8495.33 8195.49 15497.35 14890.66 16095.31 27297.48 15693.85 6296.51 7295.70 21588.65 10199.65 5794.80 9498.27 11496.17 224
test117296.93 3496.86 2697.15 7099.10 3692.34 9997.96 6198.04 8593.79 6597.35 3998.53 2491.40 6399.56 8596.30 3799.30 6299.55 31
SR-MVS97.01 2996.86 2697.47 5499.09 3893.27 7697.98 5698.07 7493.75 6697.45 3398.48 2991.43 6299.59 7296.22 4199.27 6799.54 34
TSAR-MVS + MP.97.42 997.33 1197.69 4599.25 2994.24 4398.07 5197.85 11893.72 6798.57 1398.35 4293.69 1899.40 11397.06 1499.46 4499.44 53
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
OPM-MVS93.28 14792.76 14594.82 18194.63 28790.77 15796.65 19297.18 19393.72 6791.68 18797.26 12779.33 25198.63 18692.13 14592.28 21995.07 281
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
xiu_mvs_v2_base95.32 8695.29 8295.40 15997.22 15090.50 16395.44 26697.44 17193.70 6996.46 7696.18 18588.59 10499.53 9394.79 9697.81 12696.17 224
baseline95.58 8095.42 7896.08 11796.78 17790.41 16797.16 14497.45 16793.69 7095.65 10897.85 8787.29 12298.68 18295.66 6397.25 14499.13 83
EIA-MVS95.53 8295.47 7595.71 14097.06 16289.63 18697.82 7297.87 11493.57 7193.92 14095.04 24090.61 8098.95 15794.62 9898.68 10298.54 133
HQP-NCC95.86 22096.65 19293.55 7290.14 217
ACMP_Plane95.86 22096.65 19293.55 7290.14 217
HQP-MVS93.19 15192.74 14894.54 19895.86 22089.33 20396.65 19297.39 17793.55 7290.14 21795.87 20080.95 22098.50 19792.13 14592.10 22595.78 242
MCST-MVS97.18 1796.84 2998.20 1399.30 2695.35 1597.12 14898.07 7493.54 7596.08 8897.69 9993.86 1699.71 4296.50 3299.39 5399.55 31
test111193.19 15192.82 14394.30 20997.58 14584.56 30498.21 4189.02 36593.53 7694.58 12698.21 6272.69 31099.05 15093.06 13098.48 10999.28 71
SR-MVS-dyc-post96.88 3796.80 3397.11 7399.02 4692.34 9997.98 5698.03 8893.52 7797.43 3698.51 2691.40 6399.56 8596.05 5099.26 6999.43 55
RE-MVS-def96.72 3999.02 4692.34 9997.98 5698.03 8893.52 7797.43 3698.51 2690.71 7996.05 5099.26 6999.43 55
MG-MVS95.61 7995.38 7996.31 10698.42 8490.53 16296.04 23997.48 15693.47 7995.67 10798.10 6889.17 9499.25 12591.27 16698.77 9999.13 83
test250691.60 20890.78 21694.04 21897.66 13783.81 31298.27 3175.53 37793.43 8095.23 11698.21 6267.21 34199.07 14793.01 13498.49 10799.25 74
ECVR-MVScopyleft93.19 15192.73 14994.57 19797.66 13785.41 28998.21 4188.23 36693.43 8094.70 12498.21 6272.57 31199.07 14793.05 13198.49 10799.25 74
FC-MVSNet-test93.94 12693.57 11995.04 16995.48 23691.45 13198.12 4798.71 693.37 8290.23 21596.70 15487.66 11397.85 27091.49 16190.39 25295.83 239
MP-MVScopyleft96.77 4596.45 5597.72 4299.39 1493.80 5898.41 2298.06 7793.37 8295.54 11298.34 4590.59 8199.88 594.83 9199.54 2799.49 45
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
FIs94.09 12093.70 11595.27 16195.70 22892.03 11298.10 4898.68 893.36 8490.39 21296.70 15487.63 11597.94 26192.25 14190.50 25195.84 238
abl_696.40 5996.21 6196.98 7798.89 5892.20 10797.89 6598.03 8893.34 8597.22 4398.42 3587.93 11099.72 3995.10 8299.07 8999.02 92
mPP-MVS96.86 3896.60 4597.64 4999.40 1293.44 6998.50 1798.09 6793.27 8695.95 9598.33 4891.04 7299.88 595.20 7899.57 2499.60 19
HFP-MVS97.14 2096.92 2497.83 2999.42 794.12 4998.52 1498.32 2293.21 8797.18 4498.29 5492.08 4499.83 2695.63 6899.59 1799.54 34
ACMMPR97.07 2396.84 2997.79 3599.44 693.88 5698.52 1498.31 2493.21 8797.15 4698.33 4891.35 6599.86 995.63 6899.59 1799.62 16
IS-MVSNet94.90 10094.52 10196.05 12097.67 13590.56 16198.44 2096.22 26493.21 8793.99 13797.74 9685.55 14598.45 20289.98 18197.86 12499.14 82
region2R97.07 2396.84 2997.77 3899.46 293.79 5998.52 1498.24 3893.19 9097.14 4798.34 4591.59 6099.87 895.46 7599.59 1799.64 13
EPNet_dtu91.71 20491.28 19892.99 26793.76 31383.71 31596.69 18895.28 29993.15 9187.02 30295.95 19783.37 17597.38 31379.46 32596.84 15097.88 174
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
UniMVSNet (Re)93.31 14692.55 15695.61 14595.39 23993.34 7497.39 11998.71 693.14 9290.10 22594.83 24987.71 11298.03 24791.67 15983.99 32195.46 257
APD-MVS_3200maxsize96.81 4296.71 4097.12 7299.01 4992.31 10297.98 5698.06 7793.11 9397.44 3498.55 2290.93 7499.55 8896.06 4999.25 7199.51 39
testdata195.26 27793.10 94
DU-MVS92.90 16592.04 17095.49 15494.95 26992.83 8597.16 14498.24 3893.02 9590.13 22195.71 21383.47 17297.85 27091.71 15583.93 32295.78 242
xiu_mvs_v1_base_debu95.01 9494.76 9295.75 13596.58 18591.71 11896.25 22897.35 18392.99 9696.70 6096.63 16382.67 19199.44 10896.22 4197.46 13396.11 229
xiu_mvs_v1_base95.01 9494.76 9295.75 13596.58 18591.71 11896.25 22897.35 18392.99 9696.70 6096.63 16382.67 19199.44 10896.22 4197.46 13396.11 229
xiu_mvs_v1_base_debi95.01 9494.76 9295.75 13596.58 18591.71 11896.25 22897.35 18392.99 9696.70 6096.63 16382.67 19199.44 10896.22 4197.46 13396.11 229
CP-MVS97.02 2796.81 3297.64 4999.33 2393.54 6698.80 798.28 2892.99 9696.45 7798.30 5391.90 5099.85 1895.61 7099.68 499.54 34
ACMMPcopyleft96.27 6495.93 6697.28 6299.24 3092.62 9298.25 3498.81 392.99 9694.56 12798.39 3988.96 9699.85 1894.57 10097.63 13099.36 64
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
UniMVSNet_NR-MVSNet93.37 14492.67 15195.47 15795.34 24592.83 8597.17 14398.58 1192.98 10190.13 22195.80 20588.37 10697.85 27091.71 15583.93 32295.73 248
VPNet92.23 19091.31 19694.99 17295.56 23290.96 14997.22 13997.86 11792.96 10290.96 20496.62 16675.06 29798.20 22091.90 14983.65 32795.80 241
nrg03094.05 12293.31 13296.27 11095.22 25694.59 3298.34 2597.46 16192.93 10391.21 20296.64 15987.23 12498.22 21794.99 8785.80 29395.98 233
TranMVSNet+NR-MVSNet92.50 17591.63 18495.14 16694.76 28092.07 11097.53 10598.11 6392.90 10489.56 24296.12 18983.16 17797.60 29489.30 19983.20 33195.75 246
diffmvs95.25 8895.13 8695.63 14396.43 19789.34 20295.99 24497.35 18392.83 10596.31 8097.37 12386.44 13298.67 18396.26 3897.19 14698.87 114
ACMMP_NAP97.20 1696.86 2698.23 1199.09 3895.16 2497.60 9998.19 4892.82 10697.93 2598.74 1391.60 5999.86 996.26 3899.52 2999.67 11
test_prior396.46 5796.20 6297.23 6598.67 6692.99 8196.35 21898.00 9792.80 10796.03 8997.59 11192.01 4699.41 11195.01 8499.38 5499.29 68
test_prior296.35 21892.80 10796.03 8997.59 11192.01 4695.01 8499.38 54
testtj96.93 3496.56 4898.05 2099.10 3694.66 3197.78 7698.22 4392.74 10997.59 2998.20 6591.96 4999.86 994.21 10399.25 7199.63 14
GST-MVS96.85 3996.52 5097.82 3299.36 2094.14 4898.29 2998.13 5892.72 11096.70 6098.06 7291.35 6599.86 994.83 9199.28 6599.47 50
CLD-MVS92.98 16092.53 15894.32 20796.12 21489.20 20995.28 27397.47 15992.66 11189.90 23095.62 21880.58 22798.40 20492.73 13692.40 21895.38 265
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
NR-MVSNet92.34 18291.27 19995.53 15094.95 26993.05 8097.39 11998.07 7492.65 11284.46 32495.71 21385.00 15197.77 28089.71 18883.52 32895.78 242
ZNCC-MVS96.96 3196.67 4297.85 2899.37 1794.12 4998.49 1898.18 5092.64 11396.39 7998.18 6691.61 5899.88 595.59 7399.55 2599.57 24
#test#97.02 2796.75 3797.83 2999.42 794.12 4998.15 4698.32 2292.57 11497.18 4498.29 5492.08 4499.83 2695.12 8199.59 1799.54 34
PS-MVSNAJss93.74 13393.51 12494.44 20093.91 30889.28 20797.75 7897.56 15092.50 11589.94 22996.54 16988.65 10198.18 22393.83 11590.90 24595.86 235
VDD-MVS93.82 13093.08 13696.02 12297.88 12589.96 18197.72 8495.85 27692.43 11695.86 9798.44 3268.42 33599.39 11496.31 3694.85 18698.71 126
LCM-MVSNet-Re92.50 17592.52 15992.44 28196.82 17681.89 33096.92 16693.71 34092.41 11784.30 32694.60 26185.08 15097.03 32291.51 16097.36 13998.40 151
SF-MVS97.39 1197.13 1398.17 1499.02 4695.28 2098.23 3898.27 3192.37 11898.27 1898.65 1693.33 2199.72 3996.49 3399.52 2999.51 39
VPA-MVSNet93.24 14892.48 16195.51 15195.70 22892.39 9897.86 6798.66 1092.30 11992.09 18295.37 22980.49 22998.40 20493.95 10985.86 29295.75 246
bset_n11_16_dypcd91.55 21390.59 22594.44 20091.51 34790.25 17192.70 33593.42 34392.27 12090.22 21694.74 25478.42 26797.80 27594.19 10487.86 27495.29 276
PGM-MVS96.81 4296.53 4997.65 4799.35 2293.53 6797.65 9298.98 192.22 12197.14 4798.44 3291.17 7099.85 1894.35 10199.46 4499.57 24
Vis-MVSNet (Re-imp)94.15 11593.88 11194.95 17797.61 14187.92 24298.10 4895.80 27892.22 12193.02 15997.45 11984.53 15797.91 26788.24 21897.97 12299.02 92
thres100view90092.43 17891.58 18694.98 17497.92 12289.37 20197.71 8694.66 32392.20 12393.31 15494.90 24578.06 27599.08 14481.40 31094.08 19796.48 218
baseline192.82 17091.90 17695.55 14997.20 15290.77 15797.19 14194.58 32692.20 12392.36 17296.34 18084.16 16398.21 21889.20 20583.90 32597.68 184
tfpn200view992.38 18191.52 18994.95 17797.85 12689.29 20597.41 11594.88 31892.19 12593.27 15694.46 26878.17 27199.08 14481.40 31094.08 19796.48 218
thres40092.42 17991.52 18995.12 16897.85 12689.29 20597.41 11594.88 31892.19 12593.27 15694.46 26878.17 27199.08 14481.40 31094.08 19796.98 202
thres600view792.49 17791.60 18595.18 16497.91 12389.47 19597.65 9294.66 32392.18 12793.33 15394.91 24478.06 27599.10 13981.61 30794.06 20096.98 202
Fast-Effi-MVS+-dtu92.29 18691.99 17393.21 26195.27 25285.52 28797.03 15096.63 24792.09 12889.11 25695.14 23780.33 23398.08 23787.54 23994.74 19196.03 232
thres20092.23 19091.39 19294.75 19097.61 14189.03 21496.60 20095.09 30992.08 12993.28 15594.00 29178.39 26999.04 15381.26 31494.18 19696.19 223
mvs_tets92.31 18491.76 17993.94 22793.41 32388.29 23097.63 9797.53 15192.04 13088.76 26596.45 17374.62 29998.09 23693.91 11191.48 23495.45 259
OMC-MVS95.09 9394.70 9596.25 11398.46 8191.28 13496.43 20897.57 14792.04 13094.77 12397.96 8087.01 12699.09 14291.31 16596.77 15298.36 155
jajsoiax92.42 17991.89 17794.03 21993.33 32688.50 22797.73 8197.53 15192.00 13288.85 26196.50 17175.62 29598.11 23193.88 11391.56 23395.48 254
XVG-OURS93.72 13493.35 13194.80 18697.07 15988.61 22294.79 28397.46 16191.97 13393.99 13797.86 8681.74 21298.88 16492.64 13792.67 21596.92 206
WR-MVS92.34 18291.53 18894.77 18895.13 26190.83 15496.40 21397.98 10291.88 13489.29 25195.54 22482.50 19697.80 27589.79 18785.27 30195.69 249
PAPM_NR95.01 9494.59 9796.26 11198.89 5890.68 15997.24 13397.73 12691.80 13592.93 16596.62 16689.13 9599.14 13689.21 20497.78 12798.97 100
testgi87.97 29587.21 29590.24 32692.86 33280.76 33696.67 19194.97 31491.74 13685.52 31595.83 20362.66 35794.47 35676.25 34088.36 27095.48 254
CP-MVSNet91.89 20091.24 20093.82 23295.05 26488.57 22497.82 7298.19 4891.70 13788.21 27895.76 21081.96 20797.52 30287.86 22484.65 31095.37 266
XVG-OURS-SEG-HR93.86 12993.55 12094.81 18397.06 16288.53 22695.28 27397.45 16791.68 13894.08 13697.68 10082.41 19998.90 16293.84 11492.47 21796.98 202
OurMVSNet-221017-090.51 26090.19 24591.44 30793.41 32381.25 33496.98 16096.28 26091.68 13886.55 30896.30 18174.20 30297.98 25188.96 20987.40 28095.09 280
ETH3D-3000-0.197.07 2396.71 4098.14 1698.90 5595.33 1797.68 8898.24 3891.57 14097.90 2698.37 4092.61 3499.66 5695.59 7399.51 3399.43 55
ACMP89.59 1092.62 17492.14 16894.05 21796.40 19888.20 23597.36 12297.25 19191.52 14188.30 27496.64 15978.46 26698.72 17891.86 15291.48 23495.23 277
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
APD-MVScopyleft96.95 3296.60 4598.01 2299.03 4594.93 2897.72 8498.10 6591.50 14298.01 2298.32 5092.33 4099.58 7594.85 8999.51 3399.53 38
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ITE_SJBPF92.43 28295.34 24585.37 29295.92 27291.47 14387.75 28896.39 17871.00 32097.96 25882.36 30489.86 25793.97 327
PS-CasMVS91.55 21390.84 21493.69 23994.96 26888.28 23197.84 7198.24 3891.46 14488.04 28295.80 20579.67 24597.48 30487.02 24984.54 31595.31 269
WR-MVS_H92.00 19791.35 19393.95 22595.09 26389.47 19598.04 5398.68 891.46 14488.34 27294.68 25785.86 14197.56 29685.77 26984.24 31894.82 298
RRT_MVS93.21 14992.32 16595.91 12894.92 27194.15 4796.92 16696.86 22991.42 14691.28 19996.43 17479.66 24698.10 23293.29 12590.06 25495.46 257
MVSFormer95.37 8495.16 8595.99 12696.34 20191.21 13898.22 3997.57 14791.42 14696.22 8397.32 12486.20 13797.92 26494.07 10699.05 9098.85 115
test_djsdf93.07 15692.76 14594.00 22093.49 32188.70 22198.22 3997.57 14791.42 14690.08 22795.55 22382.85 18897.92 26494.07 10691.58 23295.40 263
ACMM89.79 892.96 16192.50 16094.35 20596.30 20388.71 22097.58 10097.36 18291.40 14990.53 20896.65 15879.77 24398.75 17491.24 16791.64 23095.59 252
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
RRT_test8_iter0591.19 23690.78 21692.41 28395.76 22783.14 32197.32 12697.46 16191.37 15089.07 25795.57 22070.33 32498.21 21893.56 11786.62 28795.89 234
PEN-MVS91.20 23390.44 23093.48 24894.49 29187.91 24497.76 7798.18 5091.29 15187.78 28795.74 21280.35 23297.33 31585.46 27382.96 33295.19 279
LPG-MVS_test92.94 16392.56 15594.10 21496.16 21088.26 23297.65 9297.46 16191.29 15190.12 22397.16 13279.05 25498.73 17592.25 14191.89 22895.31 269
LGP-MVS_train94.10 21496.16 21088.26 23297.46 16191.29 15190.12 22397.16 13279.05 25498.73 17592.25 14191.89 22895.31 269
9.1496.75 3798.93 5197.73 8198.23 4291.28 15497.88 2798.44 3293.00 2599.65 5795.76 6199.47 42
MVSTER93.20 15092.81 14494.37 20496.56 18889.59 18997.06 14997.12 19991.24 15591.30 19695.96 19682.02 20698.05 24393.48 12090.55 24995.47 256
test_yl94.78 10594.23 10796.43 9797.74 13291.22 13696.85 17197.10 20191.23 15695.71 10296.93 14184.30 16099.31 12193.10 12895.12 18298.75 120
DCV-MVSNet94.78 10594.23 10796.43 9797.74 13291.22 13696.85 17197.10 20191.23 15695.71 10296.93 14184.30 16099.31 12193.10 12895.12 18298.75 120
MVS_Test94.89 10194.62 9695.68 14196.83 17589.55 19196.70 18697.17 19591.17 15895.60 10996.11 19287.87 11198.76 17393.01 13497.17 14798.72 124
HPM-MVScopyleft96.69 4896.45 5597.40 5699.36 2093.11 7998.87 598.06 7791.17 15896.40 7897.99 7890.99 7399.58 7595.61 7099.61 1699.49 45
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
test-LLR91.42 22091.19 20392.12 28894.59 28880.66 33794.29 30092.98 34691.11 16090.76 20692.37 32479.02 25698.07 24088.81 21196.74 15397.63 185
test0.0.03 189.37 28088.70 27891.41 30892.47 34085.63 28595.22 27892.70 34991.11 16086.91 30593.65 30579.02 25693.19 36378.00 33289.18 26295.41 260
XVG-ACMP-BASELINE90.93 24690.21 24493.09 26494.31 29985.89 28295.33 27097.26 18991.06 16289.38 24795.44 22868.61 33398.60 18989.46 19591.05 24194.79 303
Effi-MVS+94.93 9994.45 10496.36 10496.61 18291.47 12996.41 21097.41 17691.02 16394.50 12895.92 19887.53 11798.78 17093.89 11296.81 15198.84 117
SCA91.84 20191.18 20493.83 23195.59 23084.95 29994.72 28495.58 28890.82 16492.25 17693.69 30175.80 29298.10 23286.20 25995.98 16698.45 145
SixPastTwentyTwo89.15 28188.54 28190.98 31493.49 32180.28 34496.70 18694.70 32290.78 16584.15 32995.57 22071.78 31597.71 28484.63 28385.07 30594.94 287
PC_three_145290.77 16698.89 898.28 5796.24 198.35 20995.76 6199.58 2299.59 20
DTE-MVSNet90.56 25889.75 26293.01 26693.95 30687.25 25497.64 9697.65 13890.74 16787.12 29895.68 21679.97 24097.00 32683.33 29481.66 33794.78 305
GA-MVS91.38 22290.31 23594.59 19294.65 28587.62 24994.34 29796.19 26690.73 16890.35 21393.83 29571.84 31497.96 25887.22 24593.61 20698.21 160
EPP-MVSNet95.22 9095.04 8895.76 13397.49 14789.56 19098.67 997.00 21490.69 16994.24 13397.62 10989.79 9198.81 16893.39 12496.49 16198.92 106
MP-MVS-pluss96.70 4796.27 5997.98 2499.23 3294.71 3096.96 16298.06 7790.67 17095.55 11098.78 1291.07 7199.86 996.58 3099.55 2599.38 62
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
IterMVS-LS92.29 18691.94 17593.34 25596.25 20486.97 26396.57 20497.05 20890.67 17089.50 24594.80 25186.59 12897.64 28989.91 18386.11 29195.40 263
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet93.03 15892.88 14293.48 24895.77 22586.98 26296.44 20697.12 19990.66 17291.30 19697.64 10786.56 12998.05 24389.91 18390.55 24995.41 260
K. test v387.64 29986.75 30090.32 32593.02 33179.48 35196.61 19892.08 35490.66 17280.25 35094.09 28867.21 34196.65 33385.96 26780.83 34094.83 296
tttt051792.96 16192.33 16494.87 18097.11 15787.16 25997.97 6092.09 35390.63 17493.88 14197.01 14076.50 28699.06 14990.29 18095.45 17798.38 153
BH-RMVSNet92.72 17391.97 17494.97 17597.16 15487.99 24196.15 23595.60 28690.62 17591.87 18597.15 13478.41 26898.57 19383.16 29597.60 13198.36 155
IterMVS-SCA-FT90.31 26389.81 25891.82 29695.52 23484.20 30894.30 29996.15 26790.61 17687.39 29494.27 27975.80 29296.44 33487.34 24286.88 28694.82 298
WTY-MVS94.71 10794.02 10996.79 7997.71 13492.05 11196.59 20197.35 18390.61 17694.64 12596.93 14186.41 13399.39 11491.20 16894.71 19298.94 104
ET-MVSNet_ETH3D91.49 21790.11 24695.63 14396.40 19891.57 12695.34 26993.48 34290.60 17875.58 35895.49 22680.08 23796.79 33194.25 10289.76 25898.52 135
SMA-MVScopyleft97.35 1397.03 1898.30 899.06 4295.42 1097.94 6298.18 5090.57 17998.85 998.94 193.33 2199.83 2696.72 2699.68 499.63 14
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
LFMVS93.60 13792.63 15296.52 8898.13 11391.27 13597.94 6293.39 34490.57 17996.29 8198.31 5169.00 33199.16 13394.18 10595.87 16999.12 86
HPM-MVS_fast96.51 5496.27 5997.22 6799.32 2492.74 8798.74 898.06 7790.57 17996.77 5798.35 4290.21 8599.53 9394.80 9499.63 1499.38 62
DPM-MVS95.69 7694.92 8998.01 2298.08 11595.71 995.27 27597.62 14290.43 18295.55 11097.07 13791.72 5499.50 10189.62 19298.94 9598.82 118
IU-MVS99.42 795.39 1197.94 10690.40 18398.94 597.41 1299.66 1099.74 7
PVSNet_Blended_VisFu95.27 8794.91 9096.38 10298.20 10590.86 15397.27 13198.25 3690.21 18494.18 13497.27 12687.48 11999.73 3693.53 11897.77 12898.55 132
PVSNet_BlendedMVS94.06 12193.92 11094.47 19998.27 9689.46 19796.73 18298.36 1790.17 18594.36 13095.24 23488.02 10799.58 7593.44 12190.72 24794.36 317
thisisatest053093.03 15892.21 16795.49 15497.07 15989.11 21397.49 11192.19 35290.16 18694.09 13596.41 17676.43 28999.05 15090.38 17795.68 17598.31 157
CNLPA94.28 11293.53 12296.52 8898.38 8892.55 9496.59 20196.88 22690.13 18791.91 18497.24 12885.21 14899.09 14287.64 23697.83 12597.92 171
BH-untuned92.94 16392.62 15393.92 22997.22 15086.16 28096.40 21396.25 26390.06 18889.79 23496.17 18783.19 17698.35 20987.19 24697.27 14397.24 199
IterMVS90.15 26989.67 26491.61 30395.48 23683.72 31494.33 29896.12 26889.99 18987.31 29794.15 28775.78 29496.27 33786.97 25086.89 28594.83 296
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
AdaColmapbinary94.34 11193.68 11796.31 10698.59 7691.68 12196.59 20197.81 12089.87 19092.15 17897.06 13883.62 17199.54 9089.34 19898.07 12097.70 183
UnsupCasMVSNet_eth85.99 31284.45 31690.62 32189.97 35682.40 32793.62 32097.37 18089.86 19178.59 35592.37 32465.25 35295.35 35182.27 30570.75 36094.10 324
PHI-MVS96.77 4596.46 5497.71 4498.40 8594.07 5298.21 4198.45 1689.86 19197.11 5098.01 7792.52 3799.69 4896.03 5399.53 2899.36 64
ETH3D cwj APD-0.1696.56 5396.06 6498.05 2098.26 9995.19 2296.99 15898.05 8489.85 19397.26 4198.22 6191.80 5299.69 4894.84 9099.28 6599.27 73
mvs_anonymous93.82 13093.74 11494.06 21696.44 19685.41 28995.81 25297.05 20889.85 19390.09 22696.36 17987.44 12097.75 28193.97 10896.69 15699.02 92
ab-mvs93.57 13992.55 15696.64 8197.28 14991.96 11695.40 26797.45 16789.81 19593.22 15896.28 18279.62 24799.46 10590.74 17393.11 20998.50 138
test_part192.21 19291.10 20695.51 15197.80 12992.66 9098.02 5497.68 13489.79 19688.80 26496.02 19476.85 28498.18 22390.86 17084.11 32095.69 249
FMVSNet391.78 20290.69 22295.03 17096.53 19092.27 10497.02 15396.93 21889.79 19689.35 24894.65 25977.01 28397.47 30586.12 26288.82 26495.35 267
AUN-MVS91.76 20390.75 21994.81 18397.00 16888.57 22496.65 19296.49 25289.63 19892.15 17896.12 18978.66 26398.50 19790.83 17179.18 34597.36 196
v2v48291.59 20990.85 21393.80 23393.87 31088.17 23796.94 16596.88 22689.54 19989.53 24394.90 24581.70 21398.02 24889.25 20285.04 30795.20 278
PatchmatchNetpermissive91.91 19991.35 19393.59 24395.38 24084.11 30993.15 32895.39 29289.54 19992.10 18193.68 30382.82 18998.13 22784.81 28095.32 17998.52 135
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
EPMVS90.70 25589.81 25893.37 25494.73 28284.21 30793.67 31888.02 36789.50 20192.38 17193.49 30877.82 27997.78 27886.03 26592.68 21498.11 166
GeoE93.89 12793.28 13395.72 13996.96 17089.75 18598.24 3796.92 22289.47 20292.12 18097.21 13084.42 15898.39 20787.71 22996.50 16099.01 96
v14890.99 24290.38 23292.81 27493.83 31185.80 28396.78 18096.68 24189.45 20388.75 26693.93 29482.96 18697.82 27487.83 22583.25 32994.80 301
anonymousdsp92.16 19391.55 18793.97 22392.58 33889.55 19197.51 10697.42 17589.42 20488.40 27194.84 24880.66 22697.88 26991.87 15191.28 23894.48 313
baseline291.63 20790.86 21193.94 22794.33 29786.32 27495.92 24791.64 35789.37 20586.94 30394.69 25681.62 21498.69 18188.64 21594.57 19396.81 210
IB-MVS87.33 1789.91 27288.28 28494.79 18795.26 25587.70 24895.12 28193.95 33989.35 20687.03 30192.49 32270.74 32299.19 12989.18 20681.37 33897.49 194
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
jason94.84 10394.39 10696.18 11595.52 23490.93 15196.09 23796.52 25189.28 20796.01 9397.32 12484.70 15498.77 17295.15 8098.91 9798.85 115
jason: jason.
TAMVS94.01 12493.46 12695.64 14296.16 21090.45 16596.71 18596.89 22589.27 20893.46 15096.92 14487.29 12297.94 26188.70 21495.74 17298.53 134
ZD-MVS99.05 4394.59 3298.08 6889.22 20997.03 5398.10 6892.52 3799.65 5794.58 9999.31 61
API-MVS94.84 10394.49 10295.90 12997.90 12492.00 11497.80 7497.48 15689.19 21094.81 12296.71 15288.84 9899.17 13288.91 21098.76 10096.53 215
XXY-MVS92.16 19391.23 20194.95 17794.75 28190.94 15097.47 11297.43 17489.14 21188.90 25896.43 17479.71 24498.24 21589.56 19387.68 27595.67 251
pm-mvs190.72 25489.65 26693.96 22494.29 30089.63 18697.79 7596.82 23289.07 21286.12 31295.48 22778.61 26497.78 27886.97 25081.67 33694.46 314
HY-MVS89.66 993.87 12892.95 14096.63 8397.10 15892.49 9695.64 25996.64 24489.05 21393.00 16095.79 20885.77 14399.45 10789.16 20794.35 19497.96 168
CSCG96.05 6995.91 6796.46 9699.24 3090.47 16498.30 2898.57 1289.01 21493.97 13997.57 11392.62 3399.76 3494.66 9799.27 6799.15 81
v891.29 23090.53 22993.57 24594.15 30188.12 23997.34 12397.06 20788.99 21588.32 27394.26 28183.08 18098.01 24987.62 23783.92 32494.57 312
PAPR94.18 11493.42 13096.48 9397.64 13991.42 13295.55 26197.71 13388.99 21592.34 17495.82 20489.19 9399.11 13886.14 26197.38 13898.90 109
CDS-MVSNet94.14 11893.54 12195.93 12796.18 20891.46 13096.33 22197.04 21088.97 21793.56 14596.51 17087.55 11697.89 26889.80 18695.95 16798.44 148
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
sss94.51 10993.80 11396.64 8197.07 15991.97 11596.32 22298.06 7788.94 21894.50 12896.78 14984.60 15599.27 12491.90 14996.02 16598.68 128
lupinMVS94.99 9894.56 9896.29 10996.34 20191.21 13895.83 25196.27 26188.93 21996.22 8396.88 14686.20 13798.85 16595.27 7799.05 9098.82 118
D2MVS91.30 22990.95 20892.35 28494.71 28385.52 28796.18 23498.21 4488.89 22086.60 30793.82 29779.92 24197.95 26089.29 20090.95 24493.56 331
v7n90.76 25089.86 25593.45 25193.54 31887.60 25097.70 8797.37 18088.85 22187.65 28994.08 28981.08 21998.10 23284.68 28283.79 32694.66 310
PVSNet_Blended94.87 10294.56 9895.81 13298.27 9689.46 19795.47 26598.36 1788.84 22294.36 13096.09 19388.02 10799.58 7593.44 12198.18 11798.40 151
ACMH+87.92 1490.20 26789.18 27393.25 25896.48 19486.45 27396.99 15896.68 24188.83 22384.79 32396.22 18470.16 32798.53 19584.42 28788.04 27194.77 306
GBi-Net91.35 22590.27 23894.59 19296.51 19191.18 14297.50 10796.93 21888.82 22489.35 24894.51 26373.87 30397.29 31786.12 26288.82 26495.31 269
test191.35 22590.27 23894.59 19296.51 19191.18 14297.50 10796.93 21888.82 22489.35 24894.51 26373.87 30397.29 31786.12 26288.82 26495.31 269
FMVSNet291.31 22890.08 24794.99 17296.51 19192.21 10597.41 11596.95 21688.82 22488.62 26794.75 25373.87 30397.42 31085.20 27788.55 26995.35 267
V4291.58 21190.87 21093.73 23594.05 30588.50 22797.32 12696.97 21588.80 22789.71 23594.33 27482.54 19598.05 24389.01 20885.07 30594.64 311
agg_prior196.22 6695.77 7097.56 5198.67 6693.79 5996.28 22698.00 9788.76 22895.68 10497.55 11792.70 3299.57 8395.01 8499.32 5999.32 66
BH-w/o92.14 19591.75 18093.31 25696.99 16985.73 28495.67 25695.69 28288.73 22989.26 25394.82 25082.97 18598.07 24085.26 27696.32 16496.13 228
test20.0386.14 31185.40 30988.35 33490.12 35480.06 34695.90 24895.20 30488.59 23081.29 34393.62 30671.43 31792.65 36471.26 35881.17 33992.34 347
train_agg96.30 6395.83 6997.72 4298.70 6494.19 4496.41 21098.02 9288.58 23196.03 8997.56 11592.73 3099.59 7295.04 8399.37 5899.39 60
test_898.67 6694.06 5396.37 21798.01 9588.58 23195.98 9497.55 11792.73 3099.58 75
eth_miper_zixun_eth91.02 24190.59 22592.34 28595.33 24884.35 30594.10 30596.90 22388.56 23388.84 26294.33 27484.08 16497.60 29488.77 21384.37 31795.06 282
tpmrst91.44 21991.32 19591.79 29895.15 25979.20 35393.42 32395.37 29488.55 23493.49 14993.67 30482.49 19798.27 21490.41 17689.34 26197.90 172
ACMH87.59 1690.53 25989.42 26893.87 23096.21 20587.92 24297.24 13396.94 21788.45 23583.91 33396.27 18371.92 31398.62 18884.43 28689.43 26095.05 283
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Baseline_NR-MVSNet91.20 23390.62 22392.95 26993.83 31188.03 24097.01 15795.12 30888.42 23689.70 23695.13 23883.47 17297.44 30889.66 19183.24 33093.37 335
v114491.37 22490.60 22493.68 24093.89 30988.23 23496.84 17397.03 21288.37 23789.69 23794.39 27082.04 20597.98 25187.80 22685.37 29894.84 295
DP-MVS Recon95.68 7795.12 8797.37 5799.19 3394.19 4497.03 15098.08 6888.35 23895.09 11997.65 10489.97 8999.48 10392.08 14898.59 10598.44 148
tpm90.25 26589.74 26391.76 30193.92 30779.73 34993.98 30793.54 34188.28 23991.99 18393.25 31377.51 28197.44 30887.30 24487.94 27298.12 163
v1091.04 24090.23 24193.49 24794.12 30288.16 23897.32 12697.08 20488.26 24088.29 27594.22 28482.17 20497.97 25486.45 25684.12 31994.33 318
Fast-Effi-MVS+93.46 14192.75 14795.59 14696.77 17890.03 17496.81 17797.13 19888.19 24191.30 19694.27 27986.21 13698.63 18687.66 23596.46 16398.12 163
DWT-MVSNet_test90.76 25089.89 25493.38 25395.04 26583.70 31695.85 25094.30 33488.19 24190.46 21092.80 31773.61 30798.50 19788.16 21990.58 24897.95 170
c3_l91.38 22290.89 20992.88 27195.58 23186.30 27594.68 28596.84 23188.17 24388.83 26394.23 28285.65 14497.47 30589.36 19784.63 31194.89 293
TEST998.70 6494.19 4496.41 21098.02 9288.17 24396.03 8997.56 11592.74 2999.59 72
ETH3 D test640096.16 6795.52 7398.07 1998.90 5595.06 2697.03 15098.21 4488.16 24596.64 6597.70 9891.18 6999.67 5392.44 13899.47 4299.48 47
MDTV_nov1_ep1390.76 21895.22 25680.33 34293.03 33195.28 29988.14 24692.84 16693.83 29581.34 21698.08 23782.86 29894.34 195
MAR-MVS94.22 11393.46 12696.51 9198.00 11792.19 10897.67 8997.47 15988.13 24793.00 16095.84 20284.86 15399.51 9887.99 22298.17 11897.83 178
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
UniMVSNet_ETH3D91.34 22790.22 24394.68 19194.86 27687.86 24597.23 13897.46 16187.99 24889.90 23096.92 14466.35 34698.23 21690.30 17990.99 24397.96 168
PatchMatch-RL92.90 16592.02 17295.56 14798.19 10790.80 15595.27 27597.18 19387.96 24991.86 18695.68 21680.44 23098.99 15584.01 28997.54 13296.89 207
thisisatest051592.29 18691.30 19795.25 16296.60 18388.90 21794.36 29692.32 35187.92 25093.43 15194.57 26277.28 28299.00 15489.42 19695.86 17097.86 175
PVSNet86.66 1892.24 18991.74 18293.73 23597.77 13183.69 31792.88 33296.72 23587.91 25193.00 16094.86 24778.51 26599.05 15086.53 25397.45 13798.47 143
LTVRE_ROB88.41 1390.99 24289.92 25394.19 21196.18 20889.55 19196.31 22397.09 20387.88 25285.67 31495.91 19978.79 26298.57 19381.50 30889.98 25594.44 315
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
cl____90.96 24590.32 23492.89 27095.37 24286.21 27894.46 29296.64 24487.82 25388.15 28094.18 28582.98 18497.54 29887.70 23085.59 29494.92 291
DIV-MVS_self_test90.97 24490.33 23392.88 27195.36 24386.19 27994.46 29296.63 24787.82 25388.18 27994.23 28282.99 18397.53 30087.72 22785.57 29594.93 289
cl2291.21 23290.56 22893.14 26396.09 21686.80 26594.41 29496.58 25087.80 25588.58 26993.99 29280.85 22597.62 29289.87 18586.93 28294.99 284
CPTT-MVS95.57 8195.19 8496.70 8099.27 2891.48 12898.33 2698.11 6387.79 25695.17 11898.03 7487.09 12599.61 6693.51 11999.42 4999.02 92
miper_ehance_all_eth91.59 20991.13 20592.97 26895.55 23386.57 27294.47 29096.88 22687.77 25788.88 26094.01 29086.22 13597.54 29889.49 19486.93 28294.79 303
v119291.07 23890.23 24193.58 24493.70 31487.82 24696.73 18297.07 20587.77 25789.58 24094.32 27680.90 22497.97 25486.52 25485.48 29694.95 285
F-COLMAP93.58 13892.98 13995.37 16098.40 8588.98 21597.18 14297.29 18887.75 25990.49 20997.10 13685.21 14899.50 10186.70 25296.72 15597.63 185
131492.81 17192.03 17195.14 16695.33 24889.52 19496.04 23997.44 17187.72 26086.25 31095.33 23083.84 16698.79 16989.26 20197.05 14997.11 200
test-mter90.19 26889.54 26792.12 28894.59 28880.66 33794.29 30092.98 34687.68 26190.76 20692.37 32467.67 33798.07 24088.81 21196.74 15397.63 185
TR-MVS91.48 21890.59 22594.16 21396.40 19887.33 25195.67 25695.34 29887.68 26191.46 19095.52 22576.77 28598.35 20982.85 29993.61 20696.79 211
LF4IMVS87.94 29687.25 29389.98 32892.38 34380.05 34794.38 29595.25 30287.59 26384.34 32594.74 25464.31 35397.66 28884.83 27987.45 27792.23 348
miper_lstm_enhance90.50 26190.06 25091.83 29595.33 24883.74 31393.86 31296.70 24087.56 26487.79 28693.81 29883.45 17496.92 32887.39 24184.62 31294.82 298
TransMVSNet (Re)88.94 28387.56 29093.08 26594.35 29688.45 22997.73 8195.23 30387.47 26584.26 32795.29 23179.86 24297.33 31579.44 32674.44 35593.45 334
v14419291.06 23990.28 23793.39 25293.66 31687.23 25696.83 17497.07 20587.43 26689.69 23794.28 27881.48 21598.00 25087.18 24784.92 30994.93 289
原ACMM196.38 10298.59 7691.09 14697.89 10987.41 26795.22 11797.68 10090.25 8399.54 9087.95 22399.12 8698.49 140
v192192090.85 24890.03 25193.29 25793.55 31786.96 26496.74 18197.04 21087.36 26889.52 24494.34 27380.23 23597.97 25486.27 25785.21 30294.94 287
USDC88.94 28387.83 28892.27 28694.66 28484.96 29893.86 31295.90 27487.34 26983.40 33595.56 22267.43 33998.19 22282.64 30389.67 25993.66 330
PLCcopyleft91.00 694.11 11993.43 12896.13 11698.58 7891.15 14596.69 18897.39 17787.29 27091.37 19296.71 15288.39 10599.52 9787.33 24397.13 14897.73 181
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
tfpnnormal89.70 27788.40 28293.60 24295.15 25990.10 17397.56 10298.16 5487.28 27186.16 31194.63 26077.57 28098.05 24374.48 34584.59 31392.65 343
TESTMET0.1,190.06 27089.42 26891.97 29194.41 29580.62 33994.29 30091.97 35587.28 27190.44 21192.47 32368.79 33297.67 28688.50 21796.60 15897.61 189
v124090.70 25589.85 25693.23 25993.51 32086.80 26596.61 19897.02 21387.16 27389.58 24094.31 27779.55 24897.98 25185.52 27285.44 29794.90 292
Patchmatch-RL test87.38 30086.24 30190.81 31788.74 36378.40 35788.12 36093.17 34587.11 27482.17 34189.29 35081.95 20895.60 34788.64 21577.02 34998.41 150
CDPH-MVS95.97 7295.38 7997.77 3898.93 5194.44 3596.35 21897.88 11286.98 27596.65 6497.89 8191.99 4899.47 10492.26 13999.46 4499.39 60
PM-MVS83.48 32381.86 32788.31 33587.83 36677.59 35893.43 32291.75 35686.91 27680.63 34689.91 34744.42 36995.84 34385.17 27876.73 35191.50 355
CR-MVSNet90.82 24989.77 26093.95 22594.45 29387.19 25790.23 35295.68 28486.89 27792.40 16992.36 32780.91 22297.05 32181.09 31593.95 20197.60 190
1112_ss93.37 14492.42 16296.21 11497.05 16490.99 14796.31 22396.72 23586.87 27889.83 23396.69 15686.51 13199.14 13688.12 22093.67 20398.50 138
miper_enhance_ethall91.54 21591.01 20793.15 26295.35 24487.07 26193.97 30896.90 22386.79 27989.17 25593.43 31286.55 13097.64 28989.97 18286.93 28294.74 307
CL-MVSNet_self_test86.31 30985.15 31189.80 33088.83 36281.74 33293.93 31196.22 26486.67 28085.03 32090.80 34178.09 27494.50 35474.92 34471.86 35993.15 336
FMVSNet189.88 27488.31 28394.59 19295.41 23891.18 14297.50 10796.93 21886.62 28187.41 29394.51 26365.94 35097.29 31783.04 29787.43 27895.31 269
CHOSEN 280x42093.12 15492.72 15094.34 20696.71 18187.27 25390.29 35197.72 12986.61 28291.34 19395.29 23184.29 16298.41 20393.25 12698.94 9597.35 197
MVS_030488.79 28787.57 28992.46 28094.65 28586.15 28196.40 21397.17 19586.44 28388.02 28391.71 33656.68 36397.03 32284.47 28592.58 21694.19 323
MIMVSNet88.50 29186.76 29993.72 23794.84 27787.77 24791.39 34294.05 33686.41 28487.99 28492.59 32163.27 35595.82 34477.44 33392.84 21297.57 192
tpmvs89.83 27689.15 27491.89 29394.92 27180.30 34393.11 32995.46 29186.28 28588.08 28192.65 31980.44 23098.52 19681.47 30989.92 25696.84 209
PAPM91.52 21690.30 23695.20 16395.30 25189.83 18393.38 32496.85 23086.26 28688.59 26895.80 20584.88 15298.15 22675.67 34395.93 16897.63 185
VDDNet93.05 15792.07 16996.02 12296.84 17390.39 16998.08 5095.85 27686.22 28795.79 10098.46 3067.59 33899.19 12994.92 8894.85 18698.47 143
MS-PatchMatch90.27 26489.77 26091.78 29994.33 29784.72 30295.55 26196.73 23486.17 28886.36 30995.28 23371.28 31897.80 27584.09 28898.14 11992.81 340
MVP-Stereo90.74 25390.08 24792.71 27693.19 32888.20 23595.86 24996.27 26186.07 28984.86 32294.76 25277.84 27897.75 28183.88 29298.01 12192.17 351
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
Anonymous20240521192.07 19690.83 21595.76 13398.19 10788.75 21997.58 10095.00 31286.00 29093.64 14497.45 11966.24 34899.53 9390.68 17592.71 21399.01 96
KD-MVS_self_test85.95 31384.95 31288.96 33389.55 36079.11 35495.13 28096.42 25585.91 29184.07 33190.48 34270.03 32894.82 35380.04 31972.94 35892.94 338
CVMVSNet91.23 23191.75 18089.67 33195.77 22574.69 36296.44 20694.88 31885.81 29292.18 17797.64 10779.07 25395.58 34888.06 22195.86 17098.74 122
our_test_388.78 28887.98 28791.20 31292.45 34182.53 32493.61 32195.69 28285.77 29384.88 32193.71 30079.99 23996.78 33279.47 32486.24 28894.28 321
MSDG91.42 22090.24 24094.96 17697.15 15688.91 21693.69 31796.32 25985.72 29486.93 30496.47 17280.24 23498.98 15680.57 31695.05 18596.98 202
CHOSEN 1792x268894.15 11593.51 12496.06 11998.27 9689.38 20095.18 27998.48 1585.60 29593.76 14397.11 13583.15 17899.61 6691.33 16498.72 10199.19 77
KD-MVS_2432*160084.81 32082.64 32391.31 30991.07 35085.34 29391.22 34495.75 27985.56 29683.09 33790.21 34467.21 34195.89 34077.18 33762.48 36692.69 341
miper_refine_blended84.81 32082.64 32391.31 30991.07 35085.34 29391.22 34495.75 27985.56 29683.09 33790.21 34467.21 34195.89 34077.18 33762.48 36692.69 341
AllTest90.23 26688.98 27593.98 22197.94 12086.64 26896.51 20595.54 28985.38 29885.49 31696.77 15070.28 32599.15 13480.02 32092.87 21096.15 226
TestCases93.98 22197.94 12086.64 26895.54 28985.38 29885.49 31696.77 15070.28 32599.15 13480.02 32092.87 21096.15 226
Test_1112_low_res92.84 16991.84 17895.85 13197.04 16589.97 18095.53 26396.64 24485.38 29889.65 23995.18 23585.86 14199.10 13987.70 23093.58 20898.49 140
EU-MVSNet88.72 28988.90 27688.20 33693.15 32974.21 36396.63 19794.22 33585.18 30187.32 29695.97 19576.16 29094.98 35285.27 27586.17 28995.41 260
LS3D93.57 13992.61 15496.47 9497.59 14391.61 12297.67 8997.72 12985.17 30290.29 21498.34 4584.60 15599.73 3683.85 29398.27 11498.06 167
dp88.90 28588.26 28590.81 31794.58 29076.62 35992.85 33394.93 31685.12 30390.07 22893.07 31475.81 29198.12 23080.53 31787.42 27997.71 182
HyFIR lowres test93.66 13592.92 14195.87 13098.24 10089.88 18294.58 28798.49 1385.06 30493.78 14295.78 20982.86 18798.67 18391.77 15395.71 17499.07 91
new-patchmatchnet83.18 32481.87 32687.11 34086.88 36775.99 36193.70 31695.18 30585.02 30577.30 35688.40 35265.99 34993.88 35974.19 34970.18 36191.47 356
TDRefinement86.53 30584.76 31591.85 29482.23 37084.25 30696.38 21695.35 29584.97 30684.09 33094.94 24265.76 35198.34 21284.60 28474.52 35492.97 337
OpenMVScopyleft89.19 1292.86 16791.68 18396.40 9995.34 24592.73 8898.27 3198.12 6084.86 30785.78 31397.75 9578.89 26199.74 3587.50 24098.65 10396.73 212
gm-plane-assit93.22 32778.89 35684.82 30893.52 30798.64 18587.72 227
PMMVS92.86 16792.34 16394.42 20394.92 27186.73 26794.53 28996.38 25784.78 30994.27 13295.12 23983.13 17998.40 20491.47 16296.49 16198.12 163
pmmvs490.93 24689.85 25694.17 21293.34 32590.79 15694.60 28696.02 27084.62 31087.45 29195.15 23681.88 21097.45 30787.70 23087.87 27394.27 322
MDA-MVSNet-bldmvs85.00 31882.95 32291.17 31393.13 33083.33 31994.56 28895.00 31284.57 31165.13 36692.65 31970.45 32395.85 34273.57 35077.49 34894.33 318
QAPM93.45 14292.27 16696.98 7796.77 17892.62 9298.39 2498.12 6084.50 31288.27 27697.77 9482.39 20099.81 3085.40 27498.81 9898.51 137
ppachtmachnet_test88.35 29387.29 29291.53 30492.45 34183.57 31893.75 31595.97 27184.28 31385.32 31994.18 28579.00 26096.93 32775.71 34284.99 30894.10 324
pmmvs589.86 27588.87 27792.82 27392.86 33286.23 27796.26 22795.39 29284.24 31487.12 29894.51 26374.27 30197.36 31487.61 23887.57 27694.86 294
CostFormer91.18 23790.70 22192.62 27994.84 27781.76 33194.09 30694.43 32884.15 31592.72 16793.77 29979.43 24998.20 22090.70 17492.18 22397.90 172
FMVSNet587.29 30185.79 30591.78 29994.80 27987.28 25295.49 26495.28 29984.09 31683.85 33491.82 33362.95 35694.17 35778.48 32985.34 30093.91 328
MIMVSNet184.93 31983.05 32190.56 32289.56 35984.84 30195.40 26795.35 29583.91 31780.38 34892.21 33157.23 36193.34 36270.69 36082.75 33593.50 332
RPSCF90.75 25290.86 21190.42 32496.84 17376.29 36095.61 26096.34 25883.89 31891.38 19197.87 8476.45 28798.78 17087.16 24892.23 22096.20 222
MDTV_nov1_ep13_2view70.35 36793.10 33083.88 31993.55 14682.47 19886.25 25898.38 153
无先验95.79 25397.87 11483.87 32099.65 5787.68 23398.89 112
PVSNet_082.17 1985.46 31783.64 32090.92 31595.27 25279.49 35090.55 35095.60 28683.76 32183.00 33989.95 34671.09 31997.97 25482.75 30160.79 36895.31 269
Anonymous2024052186.42 30785.44 30789.34 33290.33 35379.79 34896.73 18295.92 27283.71 32283.25 33691.36 33963.92 35496.01 33878.39 33185.36 29992.22 349
TinyColmap86.82 30485.35 31091.21 31194.91 27482.99 32293.94 31094.02 33883.58 32381.56 34294.68 25762.34 35898.13 22775.78 34187.35 28192.52 345
Anonymous2023120687.09 30286.14 30389.93 32991.22 34980.35 34196.11 23695.35 29583.57 32484.16 32893.02 31573.54 30895.61 34672.16 35486.14 29093.84 329
pmmvs-eth3d86.22 31084.45 31691.53 30488.34 36487.25 25494.47 29095.01 31183.47 32579.51 35389.61 34969.75 33095.71 34583.13 29676.73 35191.64 352
EG-PatchMatch MVS87.02 30385.44 30791.76 30192.67 33685.00 29796.08 23896.45 25483.41 32679.52 35293.49 30857.10 36297.72 28379.34 32790.87 24692.56 344
ADS-MVSNet289.45 27888.59 28092.03 29095.86 22082.26 32890.93 34794.32 33383.23 32791.28 19991.81 33479.01 25895.99 33979.52 32291.39 23697.84 176
ADS-MVSNet89.89 27388.68 27993.53 24695.86 22084.89 30090.93 34795.07 31083.23 32791.28 19991.81 33479.01 25897.85 27079.52 32291.39 23697.84 176
COLMAP_ROBcopyleft87.81 1590.40 26289.28 27193.79 23497.95 11987.13 26096.92 16695.89 27582.83 32986.88 30697.18 13173.77 30699.29 12378.44 33093.62 20594.95 285
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
testdata95.46 15898.18 10988.90 21797.66 13682.73 33097.03 5398.07 7190.06 8698.85 16589.67 19098.98 9398.64 130
DP-MVS92.76 17291.51 19196.52 8898.77 6190.99 14797.38 12196.08 26982.38 33189.29 25197.87 8483.77 16799.69 4881.37 31396.69 15698.89 112
MDA-MVSNet_test_wron85.87 31484.23 31890.80 31992.38 34382.57 32393.17 32695.15 30682.15 33267.65 36292.33 33078.20 27095.51 34977.33 33479.74 34194.31 320
YYNet185.87 31484.23 31890.78 32092.38 34382.46 32693.17 32695.14 30782.12 33367.69 36192.36 32778.16 27395.50 35077.31 33579.73 34294.39 316
PatchT88.87 28687.42 29193.22 26094.08 30485.10 29689.51 35694.64 32581.92 33492.36 17288.15 35580.05 23897.01 32572.43 35393.65 20497.54 193
TAPA-MVS90.10 792.30 18591.22 20295.56 14798.33 9289.60 18896.79 17897.65 13881.83 33591.52 18997.23 12987.94 10998.91 16171.31 35798.37 11298.17 161
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
旧先验295.94 24681.66 33697.34 4098.82 16792.26 139
新几何197.32 5998.60 7593.59 6597.75 12381.58 33795.75 10197.85 8790.04 8799.67 5386.50 25599.13 8398.69 127
112194.71 10793.83 11297.34 5898.57 7993.64 6496.04 23997.73 12681.56 33895.68 10497.85 8790.23 8499.65 5787.68 23399.12 8698.73 123
Patchmatch-test89.42 27987.99 28693.70 23895.27 25285.11 29588.98 35894.37 33181.11 33987.10 30093.69 30182.28 20197.50 30374.37 34794.76 18998.48 142
test_040286.46 30684.79 31491.45 30695.02 26685.55 28696.29 22594.89 31780.90 34082.21 34093.97 29368.21 33697.29 31762.98 36588.68 26891.51 354
gg-mvs-nofinetune87.82 29785.61 30694.44 20094.46 29289.27 20891.21 34684.61 37280.88 34189.89 23274.98 36571.50 31697.53 30085.75 27097.21 14596.51 216
JIA-IIPM88.26 29487.04 29891.91 29293.52 31981.42 33389.38 35794.38 33080.84 34290.93 20580.74 36379.22 25297.92 26482.76 30091.62 23196.38 220
Patchmtry88.64 29087.25 29392.78 27594.09 30386.64 26889.82 35595.68 28480.81 34387.63 29092.36 32780.91 22297.03 32278.86 32885.12 30494.67 309
tpm289.96 27189.21 27292.23 28794.91 27481.25 33493.78 31494.42 32980.62 34491.56 18893.44 31076.44 28897.94 26185.60 27192.08 22797.49 194
pmmvs687.81 29886.19 30292.69 27791.32 34886.30 27597.34 12396.41 25680.59 34584.05 33294.37 27267.37 34097.67 28684.75 28179.51 34494.09 326
Anonymous2023121190.63 25789.42 26894.27 21098.24 10089.19 21198.05 5297.89 10979.95 34688.25 27794.96 24172.56 31298.13 22789.70 18985.14 30395.49 253
cascas91.20 23390.08 24794.58 19694.97 26789.16 21293.65 31997.59 14579.90 34789.40 24692.92 31675.36 29698.36 20892.14 14494.75 19096.23 221
Anonymous2024052991.98 19890.73 22095.73 13898.14 11289.40 19997.99 5597.72 12979.63 34893.54 14797.41 12269.94 32999.56 8591.04 16991.11 24098.22 159
PCF-MVS89.48 1191.56 21289.95 25296.36 10496.60 18392.52 9592.51 33897.26 18979.41 34988.90 25896.56 16884.04 16599.55 8877.01 33997.30 14297.01 201
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
test22298.24 10092.21 10595.33 27097.60 14379.22 35095.25 11597.84 9088.80 9999.15 8198.72 124
UnsupCasMVSNet_bld82.13 32779.46 33090.14 32788.00 36582.47 32590.89 34996.62 24978.94 35175.61 35784.40 36156.63 36496.31 33677.30 33666.77 36491.63 353
N_pmnet78.73 32978.71 33178.79 34792.80 33446.50 37894.14 30443.71 38178.61 35280.83 34491.66 33774.94 29896.36 33567.24 36284.45 31693.50 332
ANet_high63.94 33659.58 33977.02 34861.24 37966.06 37085.66 36387.93 36878.53 35342.94 37171.04 36825.42 37780.71 37152.60 36930.83 37284.28 363
114514_t93.95 12593.06 13796.63 8399.07 4191.61 12297.46 11497.96 10477.99 35493.00 16097.57 11386.14 13999.33 11889.22 20399.15 8198.94 104
DSMNet-mixed86.34 30886.12 30487.00 34189.88 35770.43 36694.93 28290.08 36377.97 35585.42 31892.78 31874.44 30093.96 35874.43 34695.14 18196.62 214
RPMNet88.98 28287.05 29794.77 18894.45 29387.19 25790.23 35298.03 8877.87 35692.40 16987.55 35880.17 23699.51 9868.84 36193.95 20197.60 190
new_pmnet82.89 32581.12 32988.18 33789.63 35880.18 34591.77 34192.57 35076.79 35775.56 35988.23 35461.22 35994.48 35571.43 35682.92 33389.87 360
tpm cat188.36 29287.21 29591.81 29795.13 26180.55 34092.58 33795.70 28174.97 35887.45 29191.96 33278.01 27798.17 22580.39 31888.74 26796.72 213
CMPMVSbinary62.92 2185.62 31684.92 31387.74 33889.14 36173.12 36594.17 30396.80 23373.98 35973.65 36094.93 24366.36 34597.61 29383.95 29191.28 23892.48 346
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft81.14 2084.42 32282.28 32590.83 31690.06 35584.05 31195.73 25594.04 33773.89 36080.17 35191.53 33859.15 36097.64 28966.92 36389.05 26390.80 358
MVS91.71 20490.44 23095.51 15195.20 25891.59 12496.04 23997.45 16773.44 36187.36 29595.60 21985.42 14699.10 13985.97 26697.46 13395.83 239
pmmvs379.97 32877.50 33287.39 33982.80 36979.38 35292.70 33590.75 36270.69 36278.66 35487.47 35951.34 36793.40 36173.39 35169.65 36289.38 361
MVS-HIRNet82.47 32681.21 32886.26 34395.38 24069.21 36988.96 35989.49 36466.28 36380.79 34574.08 36768.48 33497.39 31271.93 35595.47 17692.18 350
DeepMVS_CXcopyleft74.68 35190.84 35264.34 37381.61 37565.34 36467.47 36388.01 35748.60 36880.13 37262.33 36673.68 35779.58 366
PMMVS270.19 33266.92 33580.01 34676.35 37165.67 37186.22 36187.58 36964.83 36562.38 36780.29 36426.78 37688.49 36763.79 36454.07 36985.88 362
FPMVS71.27 33169.85 33375.50 34974.64 37259.03 37491.30 34391.50 35858.80 36657.92 36888.28 35329.98 37485.53 36953.43 36882.84 33481.95 365
LCM-MVSNet72.55 33069.39 33482.03 34570.81 37765.42 37290.12 35494.36 33255.02 36765.88 36481.72 36224.16 37889.96 36574.32 34868.10 36390.71 359
Gipumacopyleft67.86 33465.41 33675.18 35092.66 33773.45 36466.50 36994.52 32753.33 36857.80 36966.07 36930.81 37289.20 36648.15 37078.88 34762.90 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft53.92 2258.58 33755.40 34068.12 35351.00 38048.64 37678.86 36687.10 37146.77 36935.84 37574.28 3668.76 37986.34 36842.07 37173.91 35669.38 367
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
E-PMN53.28 33852.56 34255.43 35574.43 37347.13 37783.63 36576.30 37642.23 37042.59 37262.22 37128.57 37574.40 37331.53 37331.51 37144.78 370
EMVS52.08 34051.31 34354.39 35672.62 37545.39 37983.84 36475.51 37841.13 37140.77 37359.65 37230.08 37373.60 37428.31 37429.90 37344.18 371
MVEpermissive50.73 2353.25 33948.81 34466.58 35465.34 37857.50 37572.49 36870.94 37940.15 37239.28 37463.51 3706.89 38173.48 37538.29 37242.38 37068.76 368
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method66.11 33564.89 33769.79 35272.62 37535.23 38265.19 37092.83 34820.35 37365.20 36588.08 35643.14 37082.70 37073.12 35263.46 36591.45 357
tmp_tt51.94 34153.82 34146.29 35733.73 38145.30 38078.32 36767.24 38018.02 37450.93 37087.05 36052.99 36653.11 37670.76 35925.29 37440.46 372
wuyk23d25.11 34224.57 34626.74 35873.98 37439.89 38157.88 3719.80 38212.27 37510.39 3766.97 3787.03 38036.44 37725.43 37517.39 3753.89 375
testmvs13.36 34416.33 3474.48 3605.04 3822.26 38493.18 3253.28 3832.70 3768.24 37721.66 3742.29 3832.19 3787.58 3762.96 3769.00 374
test12313.04 34515.66 3485.18 3594.51 3833.45 38392.50 3391.81 3842.50 3777.58 37820.15 3753.67 3822.18 3797.13 3771.07 3779.90 373
EGC-MVSNET68.77 33363.01 33886.07 34492.49 33982.24 32993.96 30990.96 3610.71 3782.62 37990.89 34053.66 36593.46 36057.25 36784.55 31482.51 364
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
cdsmvs_eth3d_5k23.24 34330.99 3450.00 3610.00 3840.00 3850.00 37297.63 1410.00 3790.00 38096.88 14684.38 1590.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas7.39 3479.85 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37988.65 1010.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
ab-mvs-re8.06 34610.74 3490.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38096.69 1560.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
MSC_two_6792asdad98.86 198.67 6696.94 197.93 10799.86 997.68 299.67 699.77 1
No_MVS98.86 198.67 6696.94 197.93 10799.86 997.68 299.67 699.77 1
eth-test20.00 384
eth-test0.00 384
OPU-MVS98.55 398.82 6096.86 398.25 3498.26 5896.04 299.24 12695.36 7699.59 1799.56 27
test_0728_SECOND98.51 499.45 395.93 598.21 4198.28 2899.86 997.52 599.67 699.75 5
GSMVS98.45 145
test_part299.28 2795.74 898.10 21
sam_mvs182.76 19098.45 145
sam_mvs81.94 209
ambc86.56 34283.60 36870.00 36885.69 36294.97 31480.60 34788.45 35137.42 37196.84 33082.69 30275.44 35392.86 339
MTGPAbinary98.08 68
test_post192.81 33416.58 37780.53 22897.68 28586.20 259
test_post17.58 37681.76 21198.08 237
patchmatchnet-post90.45 34382.65 19498.10 232
GG-mvs-BLEND93.62 24193.69 31589.20 20992.39 34083.33 37387.98 28589.84 34871.00 32096.87 32982.08 30695.40 17894.80 301
MTMP97.86 6782.03 374
test9_res94.81 9399.38 5499.45 51
agg_prior293.94 11099.38 5499.50 43
agg_prior98.67 6693.79 5998.00 9795.68 10499.57 83
test_prior493.66 6396.42 209
test_prior97.23 6598.67 6692.99 8198.00 9799.41 11199.29 68
新几何295.79 253
旧先验198.38 8893.38 7197.75 12398.09 7092.30 4399.01 9299.16 79
原ACMM295.67 256
testdata299.67 5385.96 267
segment_acmp92.89 26
test1297.65 4798.46 8194.26 4197.66 13695.52 11390.89 7599.46 10599.25 7199.22 76
plane_prior796.21 20589.98 179
plane_prior696.10 21590.00 17581.32 217
plane_prior597.51 15398.60 18993.02 13292.23 22095.86 235
plane_prior496.64 159
plane_prior196.14 213
n20.00 385
nn0.00 385
door-mid91.06 360
lessismore_v090.45 32391.96 34679.09 35587.19 37080.32 34994.39 27066.31 34797.55 29784.00 29076.84 35094.70 308
test1197.88 112
door91.13 359
HQP5-MVS89.33 203
BP-MVS92.13 145
HQP4-MVS90.14 21798.50 19795.78 242
HQP3-MVS97.39 17792.10 225
HQP2-MVS80.95 220
NP-MVS95.99 21989.81 18495.87 200
ACMMP++_ref90.30 253
ACMMP++91.02 242
Test By Simon88.73 100