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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort by
PVSNet_Blended95.94 6295.66 6796.75 8698.77 9591.61 10699.88 198.04 4193.64 4394.21 12297.76 13383.50 15599.87 5197.41 4997.75 12098.79 148
lupinMVS96.32 5095.94 5697.44 4895.05 22294.87 3799.86 296.50 20693.82 3998.04 4198.77 8685.52 13098.09 17596.98 5998.97 8999.37 94
DELS-MVS97.12 2596.60 3698.68 1098.03 11596.57 1099.84 397.84 5496.36 895.20 10798.24 12188.17 7699.83 6196.11 7799.60 5699.64 71
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
CANet97.00 2896.49 3898.55 1198.86 9396.10 1599.83 497.52 12295.90 997.21 6098.90 7982.66 17599.93 3998.71 2098.80 9899.63 73
NCCC98.12 598.11 398.13 2399.76 694.46 5099.81 597.88 5096.54 598.84 1799.46 1192.55 2699.98 1098.25 3899.93 199.94 18
IB-MVS89.43 692.12 15690.83 17095.98 12295.40 20490.78 13099.81 598.06 3991.23 9785.63 21993.66 23590.63 4098.78 14991.22 14971.85 32898.36 173
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
CS-MVS95.86 6595.81 6295.98 12295.62 19591.26 11299.80 796.12 23192.15 7697.93 4798.45 11485.88 12897.55 21497.56 4798.80 9899.14 114
CNVR-MVS98.46 198.38 198.72 899.80 496.19 1499.80 797.99 4497.05 399.41 299.59 292.89 24100.00 198.99 1799.90 799.96 10
SED-MVS98.18 298.10 498.41 1799.63 2195.24 2499.77 997.72 7594.17 2599.30 599.54 393.32 1899.98 1099.70 399.81 2399.99 1
OPU-MVS99.49 499.64 2098.51 499.77 999.19 3495.12 799.97 2399.90 199.92 399.99 1
test072699.66 1595.20 2999.77 997.70 8093.95 3099.35 499.54 393.18 21
DPM-MVS97.86 897.25 1899.68 198.25 10799.10 199.76 1297.78 6496.61 498.15 3499.53 793.62 16100.00 191.79 14599.80 2799.94 18
SteuartSystems-ACMMP97.25 1897.34 1697.01 6597.38 13291.46 10999.75 1397.66 8794.14 2998.13 3599.26 2692.16 2799.66 8497.91 4499.64 4799.90 24
Skip Steuart: Steuart Systems R&D Blog.
DVP-MVScopyleft98.07 798.00 698.29 1899.66 1595.20 2999.72 1497.47 13393.95 3099.07 1099.46 1193.18 2199.97 2399.64 699.82 1999.69 64
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
test_0728_SECOND98.77 799.66 1596.37 1399.72 1497.68 8499.98 1099.64 699.82 1999.96 10
alignmvs95.77 7095.00 8198.06 2897.35 13395.68 1899.71 1697.50 12891.50 8796.16 8698.61 10186.28 12199.00 14596.19 7591.74 19799.51 85
MSLP-MVS++97.50 1597.45 1397.63 4199.65 1993.21 7599.70 1798.13 3794.61 1997.78 5099.46 1189.85 5399.81 6697.97 4299.91 699.88 28
MCST-MVS98.18 297.95 898.86 599.85 396.60 999.70 1797.98 4597.18 295.96 9099.33 2392.62 25100.00 198.99 1799.93 199.98 6
jason95.40 7794.86 8297.03 6492.91 27594.23 5699.70 1796.30 21793.56 4596.73 7798.52 10581.46 19397.91 18596.08 7898.47 10998.96 129
jason: jason.
CP-MVS96.22 5396.15 5196.42 10699.67 1389.62 16299.70 1797.61 10190.07 12896.00 8799.16 4187.43 9099.92 4096.03 7999.72 3499.70 61
PHI-MVS96.65 3996.46 3997.21 5999.34 5891.77 10099.70 1798.05 4086.48 22698.05 4099.20 3389.33 6099.96 3098.38 3299.62 5199.90 24
DeepPCF-MVS93.56 196.55 4297.84 992.68 21798.71 9778.11 33199.70 1797.71 7998.18 197.36 5899.76 190.37 4899.94 3799.27 1299.54 6199.99 1
xxxxxxxxxxxxxcwj97.51 1397.42 1497.78 3799.34 5893.85 6399.65 2395.45 28095.69 1198.70 2099.42 1990.42 4599.72 7598.47 2999.65 4499.77 48
save fliter99.34 5893.85 6399.65 2397.63 9895.69 11
ETH3 D test640097.67 1197.33 1798.69 999.69 996.43 1199.63 2597.73 7391.05 9898.66 2299.53 790.59 4199.71 7799.32 1199.80 2799.91 22
ETV-MVS96.00 5896.00 5496.00 12096.56 15991.05 12499.63 2596.61 19593.26 4997.39 5798.30 11886.62 11198.13 17298.07 4197.57 12198.82 145
CS-MVS-test95.20 8195.27 7494.98 15495.67 19388.17 18899.62 2795.84 25791.52 8697.42 5598.30 11885.07 13997.51 21595.81 8298.20 11299.26 105
DP-MVS Recon95.85 6695.15 7897.95 3199.87 294.38 5499.60 2897.48 13186.58 22394.42 11899.13 4787.36 9599.98 1093.64 12598.33 11199.48 89
EIA-MVS95.11 8395.27 7494.64 16696.34 16886.51 22699.59 2996.62 19492.51 6294.08 12598.64 9886.05 12498.24 16995.07 10098.50 10899.18 112
TSAR-MVS + GP.96.95 3096.91 2697.07 6298.88 9191.62 10599.58 3096.54 20495.09 1896.84 7298.63 10091.16 2999.77 7199.04 1696.42 14099.81 35
test_prior397.07 2797.09 1997.01 6599.58 3391.77 10099.57 3197.57 11291.43 9098.12 3798.97 6690.43 4399.49 10898.33 3499.81 2399.79 38
test_prior299.57 3191.43 9098.12 3798.97 6690.43 4398.33 3499.81 23
APDe-MVS97.53 1297.47 1197.70 3999.58 3393.63 6699.56 3397.52 12293.59 4498.01 4399.12 4890.80 3899.55 9899.26 1399.79 2999.93 21
DVP-MVS++98.18 298.09 598.44 1599.61 2795.38 2199.55 3497.68 8493.01 5199.23 799.45 1695.12 799.98 1099.25 1499.92 399.97 7
FOURS199.50 4788.94 17399.55 3497.47 13391.32 9498.12 37
ZNCC-MVS96.09 5695.81 6296.95 7599.42 5491.19 11599.55 3497.53 11989.72 13595.86 9598.94 7886.59 11299.97 2395.13 9899.56 5999.68 65
CLD-MVS91.06 17490.71 17292.10 22794.05 24786.10 24199.55 3496.29 22094.16 2784.70 22597.17 16369.62 27397.82 19294.74 10786.08 23192.39 241
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
Fast-Effi-MVS+91.72 16390.79 17194.49 17095.89 18587.40 20899.54 3895.70 26485.01 24889.28 19195.68 20277.75 21797.57 21383.22 24295.06 16098.51 163
#test#96.48 4496.34 4396.90 7799.69 990.96 12799.53 3997.81 5990.94 10296.88 6699.05 5787.57 8699.96 3095.87 8199.72 3499.78 42
mvs-test191.57 16592.20 13989.70 28095.15 21374.34 34199.51 4095.40 28491.92 7891.02 16597.25 15674.27 23898.08 17889.45 17195.83 15396.67 212
9.1496.87 2799.34 5899.50 4197.49 13089.41 14798.59 2599.43 1889.78 5499.69 7998.69 2199.62 51
EPNet96.82 3596.68 3597.25 5898.65 9893.10 7999.48 4298.76 1396.54 597.84 4998.22 12287.49 8999.66 8495.35 9497.78 11999.00 125
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DROMVSNet95.09 8495.17 7794.84 15895.42 20288.17 18899.48 4295.92 24491.47 8897.34 5998.36 11582.77 17197.41 22297.24 5298.58 10598.94 134
ETH3D-3000-0.197.29 1797.01 2398.12 2599.18 7494.97 3399.47 4497.52 12289.85 13198.79 1999.46 1190.41 4799.69 7998.78 1999.67 4299.70 61
thisisatest051594.75 9294.19 9496.43 10596.13 18392.64 9299.47 4497.60 10387.55 20693.17 13797.59 14394.71 1198.42 16288.28 18693.20 17398.24 178
HFP-MVS96.42 4796.26 4596.90 7799.69 990.96 12799.47 4497.81 5990.54 11296.88 6699.05 5787.57 8699.96 3095.65 8599.72 3499.78 42
ACMMPR96.28 5296.14 5296.73 8899.68 1290.47 13899.47 4497.80 6190.54 11296.83 7499.03 5986.51 11699.95 3495.65 8599.72 3499.75 52
PVSNet_BlendedMVS93.36 13093.20 11993.84 19398.77 9591.61 10699.47 4498.04 4191.44 8994.21 12292.63 25783.50 15599.87 5197.41 4983.37 25190.05 317
ET-MVSNet_ETH3D92.56 14891.45 15695.88 12596.39 16694.13 5999.46 4996.97 18592.18 7466.94 35198.29 12094.65 1394.28 32994.34 11583.82 24799.24 107
region2R96.30 5196.17 4896.70 9199.70 890.31 14099.46 4997.66 8790.55 11197.07 6399.07 5486.85 10499.97 2395.43 9299.74 3299.81 35
GST-MVS95.97 6095.66 6796.90 7799.49 5091.22 11399.45 5197.48 13189.69 13695.89 9298.72 9286.37 12099.95 3494.62 11199.22 8399.52 83
SF-MVS97.22 2296.92 2598.12 2599.11 7894.88 3699.44 5297.45 13689.60 14098.70 2099.42 1990.42 4599.72 7598.47 2999.65 4499.77 48
CPTT-MVS94.60 10094.43 8995.09 14899.66 1586.85 22299.44 5297.47 13383.22 27494.34 12198.96 7182.50 17699.55 9894.81 10599.50 6298.88 138
WTY-MVS95.97 6095.11 7998.54 1297.62 12496.65 899.44 5298.74 1492.25 7295.21 10698.46 11386.56 11499.46 11595.00 10292.69 18099.50 86
XVS96.47 4596.37 4196.77 8499.62 2590.66 13599.43 5597.58 10992.41 6996.86 6998.96 7187.37 9299.87 5195.65 8599.43 6899.78 42
X-MVStestdata90.69 18388.66 20396.77 8499.62 2590.66 13599.43 5597.58 10992.41 6996.86 6929.59 37587.37 9299.87 5195.65 8599.43 6899.78 42
PAPR96.35 4895.82 6097.94 3299.63 2194.19 5899.42 5797.55 11592.43 6593.82 13199.12 4887.30 9799.91 4294.02 11799.06 8599.74 55
GeoE90.60 18589.56 18493.72 19795.10 21985.43 25699.41 5894.94 30183.96 26387.21 20796.83 17874.37 23697.05 23380.50 26893.73 17098.67 156
MSP-MVS97.77 998.18 296.53 10199.54 4090.14 14499.41 5897.70 8095.46 1798.60 2499.19 3495.71 499.49 10898.15 4099.85 1399.95 15
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
test_prior492.00 9999.41 58
TEST999.57 3793.17 7699.38 6197.66 8789.57 14298.39 3099.18 3790.88 3599.66 84
train_agg97.20 2397.08 2097.57 4599.57 3793.17 7699.38 6197.66 8790.18 12298.39 3099.18 3790.94 3399.66 8498.58 2699.85 1399.88 28
PVSNet87.13 1293.69 11992.83 12796.28 11197.99 11690.22 14399.38 6198.93 1191.42 9293.66 13297.68 13871.29 26699.64 9087.94 19197.20 12998.98 127
test_899.55 3993.07 8099.37 6497.64 9390.18 12298.36 3299.19 3490.94 3399.64 90
MP-MVScopyleft96.00 5895.82 6096.54 10099.47 5190.13 14699.36 6597.41 14490.64 11095.49 10298.95 7385.51 13299.98 1096.00 8099.59 5899.52 83
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
agg_prior197.12 2597.03 2297.38 5399.54 4092.66 8899.35 6697.64 9390.38 11697.98 4499.17 3990.84 3799.61 9398.57 2799.78 3199.87 31
thres20093.69 11992.59 13296.97 7297.76 11994.74 4499.35 6699.36 289.23 14991.21 16496.97 17183.42 15898.77 15085.08 21890.96 20697.39 198
CSCG94.87 8894.71 8395.36 14199.54 4086.49 22799.34 6898.15 3582.71 28490.15 18199.25 2789.48 5999.86 5694.97 10398.82 9799.72 58
SD-MVS97.51 1397.40 1597.81 3599.01 8493.79 6599.33 6997.38 14793.73 4198.83 1899.02 6090.87 3699.88 4898.69 2199.74 3299.77 48
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
PVSNet_Blended_VisFu94.67 9794.11 9796.34 11097.14 14091.10 12199.32 7097.43 14292.10 7791.53 15796.38 19283.29 16199.68 8293.42 13096.37 14198.25 177
DPE-MVScopyleft98.11 698.00 698.44 1599.50 4795.39 2099.29 7197.72 7594.50 2198.64 2399.54 393.32 1899.97 2399.58 899.90 799.95 15
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
mPP-MVS95.90 6495.75 6596.38 10899.58 3389.41 16699.26 7297.41 14490.66 10794.82 11298.95 7386.15 12399.98 1095.24 9799.64 4799.74 55
PLCcopyleft91.07 394.23 10794.01 10094.87 15699.17 7587.49 20499.25 7396.55 20288.43 17891.26 16298.21 12485.92 12599.86 5689.77 16897.57 12197.24 202
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MTMP99.21 7491.09 356
HPM-MVS++copyleft97.72 1097.59 1098.14 2299.53 4594.76 4399.19 7597.75 6795.66 1398.21 3399.29 2491.10 3199.99 597.68 4699.87 999.68 65
CNLPA93.64 12392.74 12896.36 10998.96 8790.01 15499.19 7595.89 25286.22 22989.40 18998.85 8280.66 19899.84 5988.57 18396.92 13499.24 107
tfpn200view993.43 12792.27 13796.90 7797.68 12294.84 3999.18 7799.36 288.45 17490.79 16896.90 17483.31 15998.75 15284.11 23390.69 20897.12 204
thres40093.39 12992.27 13796.73 8897.68 12294.84 3999.18 7799.36 288.45 17490.79 16896.90 17483.31 15998.75 15284.11 23390.69 20896.61 213
HPM-MVScopyleft95.41 7695.22 7695.99 12199.29 6689.14 16799.17 7997.09 17687.28 21095.40 10398.48 11084.93 14199.38 12395.64 8999.65 4499.47 90
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
testtj97.23 2197.05 2197.75 3899.75 793.34 7399.16 8097.74 6991.28 9598.40 2999.29 2489.95 5299.98 1098.20 3999.70 3999.94 18
SMA-MVScopyleft97.24 1996.99 2498.00 3099.30 6594.20 5799.16 8097.65 9289.55 14499.22 999.52 990.34 4999.99 598.32 3699.83 1599.82 34
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
HQP-NCC93.95 24899.16 8093.92 3287.57 201
ACMP_Plane93.95 24899.16 8093.92 3287.57 201
APD-MVScopyleft96.95 3096.72 3397.63 4199.51 4693.58 6799.16 8097.44 14090.08 12798.59 2599.07 5489.06 6299.42 11997.92 4399.66 4399.88 28
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HQP-MVS91.50 16691.23 15992.29 22193.95 24886.39 23199.16 8096.37 21393.92 3287.57 20196.67 18373.34 24597.77 19693.82 12386.29 22692.72 236
test-LLR93.11 13892.68 12994.40 17394.94 22787.27 21399.15 8697.25 15490.21 12091.57 15494.04 22184.89 14297.58 21085.94 21196.13 14698.36 173
TESTMET0.1,193.82 11693.26 11895.49 13695.21 20890.25 14199.15 8697.54 11889.18 15191.79 15094.87 21389.13 6197.63 20786.21 20796.29 14598.60 160
test-mter93.27 13492.89 12694.40 17394.94 22787.27 21399.15 8697.25 15488.95 15991.57 15494.04 22188.03 8097.58 21085.94 21196.13 14698.36 173
plane_prior86.07 24399.14 8993.81 4086.26 228
HPM-MVS_fast94.89 8794.62 8495.70 13199.11 7888.44 18699.14 8997.11 17285.82 23395.69 9998.47 11183.46 15799.32 13193.16 13399.63 5099.35 95
MVS_111021_HR96.69 3796.69 3496.72 9098.58 10291.00 12699.14 8999.45 193.86 3695.15 10898.73 9088.48 7199.76 7297.23 5399.56 5999.40 93
ETH3D cwj APD-0.1696.94 3296.58 3798.01 2998.62 10094.73 4599.13 9297.38 14788.44 17798.53 2799.39 2189.66 5899.69 7998.43 3199.61 5599.61 76
CDPH-MVS96.56 4196.18 4697.70 3999.59 3193.92 6199.13 9297.44 14089.02 15697.90 4899.22 3188.90 6599.49 10894.63 11099.79 2999.68 65
BH-w/o92.32 15191.79 14993.91 19196.85 15086.18 23899.11 9495.74 26288.13 18784.81 22497.00 17077.26 22097.91 18589.16 18098.03 11497.64 191
GA-MVS90.10 19488.69 20294.33 17592.44 27987.97 19599.08 9596.26 22189.65 13786.92 21093.11 25068.09 28296.96 23582.54 25190.15 21398.05 183
thres600view793.18 13692.00 14496.75 8697.62 12494.92 3499.07 9699.36 287.96 19290.47 17696.78 17983.29 16198.71 15682.93 24790.47 21296.61 213
MG-MVS97.24 1996.83 3098.47 1499.79 595.71 1799.07 9699.06 994.45 2396.42 8398.70 9588.81 6699.74 7495.35 9499.86 1299.97 7
thres100view90093.34 13192.15 14196.90 7797.62 12494.84 3999.06 9899.36 287.96 19290.47 17696.78 17983.29 16198.75 15284.11 23390.69 20897.12 204
test_yl95.27 7994.60 8597.28 5698.53 10392.98 8399.05 9998.70 1786.76 22094.65 11697.74 13587.78 8299.44 11695.57 9092.61 18199.44 91
DCV-MVSNet95.27 7994.60 8597.28 5698.53 10392.98 8399.05 9998.70 1786.76 22094.65 11697.74 13587.78 8299.44 11695.57 9092.61 18199.44 91
PS-MVSNAJ96.87 3496.40 4098.29 1897.35 13397.29 599.03 10197.11 17295.83 1098.97 1399.14 4582.48 17899.60 9598.60 2399.08 8498.00 185
HQP_MVS91.26 17090.95 16592.16 22593.84 25586.07 24399.02 10296.30 21793.38 4786.99 20896.52 18572.92 24997.75 20193.46 12886.17 22992.67 238
plane_prior299.02 10293.38 47
xiu_mvs_v2_base96.66 3896.17 4898.11 2797.11 14396.96 699.01 10497.04 17995.51 1698.86 1699.11 5382.19 18499.36 12598.59 2598.14 11398.00 185
MVSTER92.71 14292.32 13593.86 19297.29 13592.95 8699.01 10496.59 19790.09 12685.51 22094.00 22594.61 1496.56 25190.77 15783.03 25392.08 254
thisisatest053094.00 11093.52 11395.43 13995.76 18990.02 15398.99 10697.60 10386.58 22391.74 15197.36 15194.78 1098.34 16486.37 20692.48 18497.94 187
cascas90.93 17889.33 19095.76 12995.69 19193.03 8298.99 10696.59 19780.49 31086.79 21494.45 21865.23 30498.60 15993.52 12792.18 19095.66 226
test0.0.03 188.96 20988.61 20490.03 27391.09 29884.43 27298.97 10897.02 18290.21 12080.29 28296.31 19384.89 14291.93 35272.98 31885.70 23493.73 231
RRT_test8_iter0591.04 17690.40 17892.95 20996.20 17689.75 15998.97 10896.38 21288.52 17082.00 26293.51 24090.69 3996.73 24590.43 15976.91 28692.38 242
114514_t94.06 10893.05 12297.06 6399.08 8192.26 9798.97 10897.01 18382.58 28692.57 14498.22 12280.68 19799.30 13289.34 17599.02 8799.63 73
sss94.85 8993.94 10697.58 4396.43 16394.09 6098.93 11199.16 889.50 14595.27 10597.85 12881.50 19199.65 8892.79 13994.02 16898.99 126
PAPM96.35 4895.94 5697.58 4394.10 24495.25 2398.93 11198.17 3294.26 2493.94 12798.72 9289.68 5797.88 18896.36 7299.29 7899.62 75
3Dnovator+87.72 893.43 12791.84 14898.17 2195.73 19095.08 3298.92 11397.04 17991.42 9281.48 27297.60 14274.60 23199.79 6990.84 15598.97 8999.64 71
PVSNet_083.28 1687.31 24085.16 25493.74 19694.78 23284.59 27098.91 11498.69 1989.81 13378.59 30393.23 24561.95 31599.34 13094.75 10655.72 36097.30 200
UniMVSNet (Re)89.50 20488.32 21093.03 20692.21 28290.96 12798.90 11598.39 2389.13 15283.22 23792.03 26181.69 18996.34 27186.79 20372.53 32191.81 261
Regformer-196.97 2996.80 3197.47 4799.46 5293.11 7898.89 11697.94 4692.89 5796.90 6599.02 6089.78 5499.53 10197.06 5499.26 8099.75 52
Regformer-296.94 3296.78 3297.42 4999.46 5292.97 8598.89 11697.93 4792.86 5996.88 6699.02 6089.74 5699.53 10197.03 5599.26 8099.75 52
ACMMP_NAP96.59 4096.18 4697.81 3598.82 9493.55 6898.88 11897.59 10790.66 10797.98 4499.14 4586.59 112100.00 196.47 6999.46 6499.89 27
PMMVS93.62 12493.90 10892.79 21296.79 15381.40 30598.85 11996.81 18991.25 9696.82 7598.15 12677.02 22198.13 17293.15 13496.30 14498.83 144
DeepC-MVS_fast93.52 297.16 2496.84 2998.13 2399.61 2794.45 5198.85 11997.64 9396.51 795.88 9399.39 2187.35 9699.99 596.61 6599.69 4199.96 10
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
BH-untuned91.46 16890.84 16893.33 20296.51 16284.83 26898.84 12195.50 27786.44 22883.50 23596.70 18275.49 22697.77 19686.78 20497.81 11697.40 197
CDS-MVSNet93.47 12593.04 12394.76 16094.75 23389.45 16598.82 12297.03 18187.91 19490.97 16696.48 18789.06 6296.36 26589.50 17092.81 17998.49 164
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
3Dnovator87.35 1193.17 13791.77 15097.37 5495.41 20393.07 8098.82 12297.85 5391.53 8582.56 24897.58 14471.97 25899.82 6491.01 15299.23 8299.22 110
casdiffmvs93.98 11193.43 11495.61 13495.07 22189.86 15698.80 12495.84 25790.98 10092.74 14397.66 14079.71 20198.10 17494.72 10895.37 15898.87 140
MVS_111021_LR95.78 6995.94 5695.28 14498.19 11187.69 19898.80 12499.26 793.39 4695.04 11098.69 9684.09 15099.76 7296.96 6099.06 8598.38 170
API-MVS94.78 9194.18 9696.59 9699.21 7390.06 15198.80 12497.78 6483.59 26993.85 12999.21 3283.79 15299.97 2392.37 14199.00 8899.74 55
OpenMVScopyleft85.28 1490.75 18188.84 19896.48 10293.58 26193.51 7098.80 12497.41 14482.59 28578.62 30197.49 14768.00 28499.82 6484.52 22798.55 10796.11 223
nrg03090.23 18988.87 19794.32 17691.53 29393.54 6998.79 12895.89 25288.12 18884.55 22794.61 21778.80 21196.88 23892.35 14275.21 29292.53 240
F-COLMAP92.07 15891.75 15193.02 20798.16 11282.89 29198.79 12895.97 23686.54 22587.92 19997.80 13178.69 21299.65 8885.97 20995.93 15296.53 218
UniMVSNet_NR-MVSNet89.60 20188.55 20792.75 21592.17 28390.07 14898.74 13098.15 3588.37 18083.21 23893.98 22682.86 16995.93 29086.95 20072.47 32292.25 246
canonicalmvs95.02 8693.96 10498.20 2097.53 13095.92 1698.71 13196.19 22791.78 8195.86 9598.49 10979.53 20499.03 14496.12 7691.42 20399.66 69
Regformer-396.50 4396.36 4296.91 7699.34 5891.72 10398.71 13197.90 4992.48 6496.00 8798.95 7388.60 6899.52 10496.44 7098.83 9599.49 87
Regformer-496.45 4696.33 4496.81 8399.34 5891.44 11098.71 13197.88 5092.43 6595.97 8998.95 7388.42 7299.51 10596.40 7198.83 9599.49 87
DU-MVS88.83 21587.51 21992.79 21291.46 29490.07 14898.71 13197.62 10088.87 16383.21 23893.68 23374.63 22995.93 29086.95 20072.47 32292.36 243
diffmvs94.59 10194.19 9495.81 12795.54 19890.69 13398.70 13595.68 26691.61 8395.96 9097.81 13080.11 19998.06 17996.52 6895.76 15498.67 156
zzz-MVS96.21 5495.96 5596.96 7399.29 6691.19 11598.69 13697.45 13692.58 6094.39 11999.24 2986.43 11899.99 596.22 7399.40 7299.71 59
原ACMM298.69 136
VNet95.08 8594.26 9197.55 4698.07 11493.88 6298.68 13898.73 1690.33 11897.16 6297.43 14979.19 20799.53 10196.91 6191.85 19599.24 107
Vis-MVSNet (Re-imp)93.26 13593.00 12594.06 18596.14 18086.71 22598.68 13896.70 19288.30 18289.71 18897.64 14185.43 13696.39 26388.06 19096.32 14299.08 121
旧先验298.67 14085.75 23498.96 1498.97 14693.84 121
EPP-MVSNet93.75 11893.67 11194.01 18895.86 18685.70 25298.67 14097.66 8784.46 25591.36 16197.18 16291.16 2997.79 19492.93 13693.75 16998.53 162
Fast-Effi-MVS+-dtu88.84 21388.59 20689.58 28493.44 26678.18 32998.65 14294.62 31188.46 17384.12 23195.37 20868.91 27596.52 25482.06 25591.70 19994.06 230
BH-RMVSNet91.25 17289.99 18095.03 15296.75 15488.55 18398.65 14294.95 30087.74 20087.74 20097.80 13168.27 28198.14 17180.53 26797.49 12598.41 167
RRT_MVS91.95 16091.09 16194.53 16996.71 15795.12 3198.64 14496.23 22389.04 15585.24 22295.06 21087.71 8596.43 26189.10 18182.06 26092.05 256
EPNet_dtu92.28 15392.15 14192.70 21697.29 13584.84 26798.64 14497.82 5692.91 5693.02 14197.02 16985.48 13595.70 30172.25 32194.89 16197.55 196
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Baseline_NR-MVSNet85.83 26384.82 26188.87 29988.73 32683.34 28498.63 14691.66 35180.41 31382.44 25091.35 27674.63 22995.42 30884.13 23271.39 33187.84 338
CANet_DTU94.31 10693.35 11597.20 6097.03 14794.71 4698.62 14795.54 27595.61 1497.21 6098.47 11171.88 25999.84 5988.38 18597.46 12697.04 209
xiu_mvs_v1_base_debu94.73 9393.98 10196.99 6895.19 20995.24 2498.62 14796.50 20692.99 5397.52 5298.83 8372.37 25499.15 13797.03 5596.74 13596.58 215
xiu_mvs_v1_base94.73 9393.98 10196.99 6895.19 20995.24 2498.62 14796.50 20692.99 5397.52 5298.83 8372.37 25499.15 13797.03 5596.74 13596.58 215
xiu_mvs_v1_base_debi94.73 9393.98 10196.99 6895.19 20995.24 2498.62 14796.50 20692.99 5397.52 5298.83 8372.37 25499.15 13797.03 5596.74 13596.58 215
pmmvs585.87 26184.40 27090.30 26688.53 32984.23 27498.60 15193.71 32881.53 30080.29 28292.02 26264.51 30695.52 30582.04 25678.34 27691.15 287
QAPM91.41 16989.49 18697.17 6195.66 19493.42 7298.60 15197.51 12580.92 30881.39 27397.41 15072.89 25199.87 5182.33 25298.68 10298.21 180
SR-MVS96.13 5596.16 5096.07 11899.42 5489.04 16998.59 15397.33 15290.44 11496.84 7299.12 4886.75 10699.41 12197.47 4899.44 6799.76 51
MP-MVS-pluss95.80 6895.30 7297.29 5598.95 8892.66 8898.59 15397.14 16888.95 15993.12 13899.25 2785.62 12999.94 3796.56 6799.48 6399.28 103
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
PAPM_NR95.43 7495.05 8096.57 9999.42 5490.14 14498.58 15597.51 12590.65 10992.44 14698.90 7987.77 8499.90 4490.88 15499.32 7599.68 65
v2v48287.27 24185.76 24691.78 23789.59 31487.58 20298.56 15695.54 27584.53 25482.51 24991.78 26873.11 24896.47 25882.07 25474.14 30791.30 283
WR-MVS88.54 22287.22 22692.52 21991.93 28889.50 16398.56 15697.84 5486.99 21281.87 26693.81 23074.25 24095.92 29285.29 21674.43 30192.12 252
TSAR-MVS + MP.97.44 1697.46 1297.39 5299.12 7793.49 7198.52 15897.50 12894.46 2298.99 1298.64 9891.58 2899.08 14398.49 2899.83 1599.60 77
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
v14886.38 25585.06 25590.37 26589.47 31984.10 27698.52 15895.48 27883.80 26480.93 27590.22 30974.60 23196.31 27380.92 26371.55 33090.69 303
无先验98.52 15897.82 5687.20 21199.90 4487.64 19499.85 33
test117295.92 6396.07 5395.46 13799.42 5487.24 21798.51 16197.24 15690.29 11996.56 8299.12 4886.73 10899.36 12597.33 5199.42 7199.78 42
tttt051793.30 13293.01 12494.17 18195.57 19686.47 22898.51 16197.60 10385.99 23190.55 17397.19 16194.80 998.31 16585.06 21991.86 19497.74 189
ACMP87.39 1088.71 22088.24 21190.12 26993.91 25381.06 31398.50 16395.67 26789.43 14680.37 28095.55 20365.67 29997.83 19190.55 15884.51 23991.47 274
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM86.95 1388.77 21888.22 21290.43 26193.61 26081.34 30798.50 16395.92 24487.88 19583.85 23495.20 20967.20 29097.89 18786.90 20284.90 23792.06 255
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
EI-MVSNet-Vis-set95.76 7195.63 7196.17 11599.14 7690.33 13998.49 16597.82 5691.92 7894.75 11398.88 8187.06 10099.48 11395.40 9397.17 13298.70 155
1112_ss92.71 14291.55 15496.20 11295.56 19791.12 11998.48 16694.69 30988.29 18386.89 21198.50 10787.02 10198.66 15784.75 22389.77 21598.81 146
Vis-MVSNetpermissive92.64 14491.85 14795.03 15295.12 21588.23 18798.48 16696.81 18991.61 8392.16 14997.22 15971.58 26498.00 18485.85 21597.81 11698.88 138
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Test_1112_low_res92.27 15490.97 16496.18 11395.53 19991.10 12198.47 16894.66 31088.28 18486.83 21393.50 24187.00 10298.65 15884.69 22489.74 21698.80 147
Anonymous20240521188.84 21387.03 22894.27 17798.14 11384.18 27598.44 16995.58 27376.79 33089.34 19096.88 17653.42 34399.54 10087.53 19687.12 22499.09 120
EI-MVSNet-UG-set95.43 7495.29 7395.86 12699.07 8289.87 15598.43 17097.80 6191.78 8194.11 12498.77 8686.25 12299.48 11394.95 10496.45 13998.22 179
APD-MVS_3200maxsize95.64 7395.65 6995.62 13299.24 7087.80 19798.42 17197.22 15988.93 16196.64 8198.98 6585.49 13399.36 12596.68 6299.27 7999.70 61
TAPA-MVS87.50 990.35 18689.05 19494.25 17998.48 10585.17 26298.42 17196.58 20082.44 29087.24 20698.53 10482.77 17198.84 14859.09 35697.88 11598.72 153
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CHOSEN 1792x268894.35 10593.82 10995.95 12497.40 13188.74 18098.41 17398.27 2692.18 7491.43 15896.40 18978.88 20899.81 6693.59 12697.81 11699.30 100
TAMVS92.62 14592.09 14394.20 18094.10 24487.68 19998.41 17396.97 18587.53 20789.74 18696.04 19884.77 14596.49 25788.97 18292.31 18798.42 166
ACMMPcopyleft94.67 9794.30 9095.79 12899.25 6988.13 19198.41 17398.67 2090.38 11691.43 15898.72 9282.22 18399.95 3493.83 12295.76 15499.29 101
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
SR-MVS-dyc-post95.75 7295.86 5995.41 14099.22 7187.26 21598.40 17697.21 16089.63 13896.67 7998.97 6686.73 10899.36 12596.62 6399.31 7699.60 77
RE-MVS-def95.70 6699.22 7187.26 21598.40 17697.21 16089.63 13896.67 7998.97 6685.24 13896.62 6399.31 7699.60 77
VDD-MVS91.24 17390.18 17994.45 17297.08 14485.84 25098.40 17696.10 23286.99 21293.36 13598.16 12554.27 34099.20 13496.59 6690.63 21198.31 176
DeepC-MVS91.02 494.56 10293.92 10796.46 10397.16 13990.76 13198.39 17997.11 17293.92 3288.66 19498.33 11678.14 21599.85 5895.02 10198.57 10698.78 150
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MAR-MVS94.43 10394.09 9895.45 13899.10 8087.47 20598.39 17997.79 6388.37 18094.02 12699.17 3978.64 21399.91 4292.48 14098.85 9498.96 129
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
h-mvs3392.47 15091.95 14694.05 18697.13 14185.01 26598.36 18198.08 3893.85 3796.27 8496.73 18183.19 16499.43 11895.81 8268.09 33897.70 190
miper_enhance_ethall90.33 18789.70 18292.22 22297.12 14288.93 17498.35 18295.96 23888.60 16883.14 24292.33 25987.38 9196.18 27986.49 20577.89 27891.55 272
TranMVSNet+NR-MVSNet87.75 23386.31 23892.07 22890.81 30188.56 18298.33 18397.18 16587.76 19881.87 26693.90 22872.45 25395.43 30783.13 24571.30 33292.23 248
AdaColmapbinary93.82 11693.06 12196.10 11799.88 189.07 16898.33 18397.55 11586.81 21990.39 17898.65 9775.09 22799.98 1093.32 13197.53 12499.26 105
V4287.00 24385.68 24890.98 24889.91 30986.08 24298.32 18595.61 27183.67 26882.72 24590.67 29174.00 24296.53 25381.94 25774.28 30490.32 310
D2MVS87.96 22987.39 22189.70 28091.84 28983.40 28398.31 18698.49 2188.04 19078.23 30790.26 30573.57 24396.79 24384.21 23083.53 24988.90 332
v114486.83 24685.31 25391.40 23989.75 31287.21 21898.31 18695.45 28083.22 27482.70 24690.78 28673.36 24496.36 26579.49 27174.69 29890.63 305
IS-MVSNet93.00 13992.51 13394.49 17096.14 18087.36 20998.31 18695.70 26488.58 16990.17 18097.50 14683.02 16797.22 22687.06 19796.07 15098.90 137
新几何298.26 189
LFMVS92.23 15590.84 16896.42 10698.24 10891.08 12398.24 19096.22 22483.39 27294.74 11498.31 11761.12 31998.85 14794.45 11492.82 17799.32 98
PGM-MVS95.85 6695.65 6996.45 10499.50 4789.77 15898.22 19198.90 1289.19 15096.74 7698.95 7385.91 12799.92 4093.94 11899.46 6499.66 69
LPG-MVS_test88.86 21288.47 20990.06 27093.35 26880.95 31498.22 19195.94 24187.73 20183.17 24096.11 19666.28 29797.77 19690.19 16285.19 23591.46 275
v14419286.40 25484.89 25990.91 24989.48 31885.59 25398.21 19395.43 28382.45 28982.62 24790.58 29872.79 25296.36 26578.45 28074.04 30890.79 297
VDDNet90.08 19588.54 20894.69 16494.41 23987.68 19998.21 19396.40 21176.21 33193.33 13697.75 13454.93 33898.77 15094.71 10990.96 20697.61 195
VPNet88.30 22586.57 23493.49 19991.95 28691.35 11198.18 19597.20 16488.61 16784.52 22894.89 21262.21 31496.76 24489.34 17572.26 32592.36 243
HyFIR lowres test93.68 12193.29 11794.87 15697.57 12888.04 19398.18 19598.47 2287.57 20591.24 16395.05 21185.49 13397.46 21893.22 13292.82 17799.10 119
FIs90.70 18289.87 18193.18 20492.29 28091.12 11998.17 19798.25 2789.11 15383.44 23694.82 21482.26 18296.17 28087.76 19282.76 25592.25 246
Anonymous2024052987.66 23685.58 24993.92 19097.59 12785.01 26598.13 19897.13 17066.69 35888.47 19696.01 19955.09 33799.51 10587.00 19984.12 24397.23 203
v119286.32 25684.71 26391.17 24389.53 31786.40 23098.13 19895.44 28282.52 28882.42 25190.62 29571.58 26496.33 27277.23 28574.88 29590.79 297
test111192.12 15691.19 16094.94 15596.15 17887.36 20998.12 20094.84 30390.85 10490.97 16697.26 15565.60 30298.37 16389.74 16997.14 13399.07 123
test_part188.43 22386.68 23393.67 19897.56 12992.40 9698.12 20096.55 20282.26 29280.31 28193.16 24874.59 23396.62 24885.00 22172.61 32091.99 258
baseline294.04 10993.80 11094.74 16293.07 27390.25 14198.12 20098.16 3489.86 13086.53 21596.95 17295.56 598.05 18091.44 14794.53 16395.93 224
OPM-MVS89.76 19989.15 19391.57 23890.53 30485.58 25498.11 20395.93 24392.88 5886.05 21696.47 18867.06 29297.87 18989.29 17886.08 23191.26 285
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ECVR-MVScopyleft92.29 15291.33 15795.15 14696.41 16487.84 19698.10 20494.84 30390.82 10591.42 16097.28 15265.61 30198.49 16090.33 16097.19 13099.12 117
v192192086.02 25984.44 26890.77 25489.32 32085.20 26098.10 20495.35 28982.19 29382.25 25590.71 28870.73 26796.30 27676.85 29074.49 30090.80 296
IterMVS-LS88.34 22487.44 22091.04 24694.10 24485.85 24998.10 20495.48 27885.12 24282.03 26191.21 27981.35 19495.63 30383.86 23875.73 29091.63 265
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test22298.32 10691.21 11498.08 20797.58 10983.74 26595.87 9499.02 6086.74 10799.64 4799.81 35
FMVSNet388.81 21787.08 22793.99 18996.52 16194.59 4998.08 20796.20 22585.85 23282.12 25791.60 27174.05 24195.40 30979.04 27480.24 26591.99 258
abl_694.63 9994.48 8795.09 14898.61 10186.96 22098.06 20996.97 18589.31 14895.86 9598.56 10379.82 20099.64 9094.53 11398.65 10498.66 159
OMC-MVS93.90 11493.62 11294.73 16398.63 9987.00 21998.04 21096.56 20192.19 7392.46 14598.73 9079.49 20599.14 14092.16 14394.34 16698.03 184
test250694.80 9094.21 9396.58 9796.41 16492.18 9898.01 21198.96 1090.82 10593.46 13497.28 15285.92 12598.45 16189.82 16697.19 13099.12 117
UGNet91.91 16190.85 16795.10 14797.06 14588.69 18198.01 21198.24 2892.41 6992.39 14793.61 23660.52 32099.68 8288.14 18897.25 12896.92 211
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
cl2289.57 20288.79 20091.91 22997.94 11787.62 20197.98 21396.51 20585.03 24682.37 25391.79 26783.65 15396.50 25585.96 21077.89 27891.61 269
VPA-MVSNet89.10 20687.66 21893.45 20092.56 27791.02 12597.97 21498.32 2586.92 21686.03 21792.01 26368.84 27797.10 23190.92 15375.34 29192.23 248
TR-MVS90.77 18089.44 18794.76 16096.31 16988.02 19497.92 21595.96 23885.52 23688.22 19897.23 15866.80 29398.09 17584.58 22692.38 18598.17 182
FC-MVSNet-test90.22 19089.40 18892.67 21891.78 29089.86 15697.89 21698.22 2988.81 16482.96 24394.66 21681.90 18895.96 28885.89 21382.52 25892.20 250
testdata197.89 21692.43 65
v124085.77 26684.11 27190.73 25589.26 32185.15 26397.88 21895.23 29781.89 29882.16 25690.55 30069.60 27496.31 27375.59 30074.87 29690.72 302
Effi-MVS+-dtu89.97 19790.68 17387.81 30795.15 21371.98 35197.87 21995.40 28491.92 7887.57 20191.44 27474.27 23896.84 23989.45 17193.10 17594.60 229
miper_ehance_all_eth88.94 21088.12 21391.40 23995.32 20586.93 22197.85 22095.55 27484.19 25881.97 26391.50 27384.16 14995.91 29384.69 22477.89 27891.36 280
cl____87.82 23086.79 23290.89 25194.88 22985.43 25697.81 22195.24 29482.91 28380.71 27791.22 27881.97 18795.84 29681.34 26075.06 29391.40 279
DIV-MVS_self_test87.82 23086.81 23190.87 25294.87 23085.39 25897.81 22195.22 29882.92 28280.76 27691.31 27781.99 18595.81 29881.36 25975.04 29491.42 278
testmvs18.81 34123.05 3446.10 3584.48 3802.29 38297.78 2233.00 3813.27 37418.60 37462.71 3631.53 3812.49 37714.26 3741.80 37413.50 372
MVSFormer94.71 9694.08 9996.61 9595.05 22294.87 3797.77 22496.17 22886.84 21798.04 4198.52 10585.52 13095.99 28689.83 16498.97 8998.96 129
test_djsdf88.26 22787.73 21689.84 27688.05 33482.21 29997.77 22496.17 22886.84 21782.41 25291.95 26672.07 25795.99 28689.83 16484.50 24091.32 282
AUN-MVS90.17 19289.50 18592.19 22496.21 17382.67 29597.76 22697.53 11988.05 18991.67 15296.15 19483.10 16697.47 21788.11 18966.91 34296.43 219
hse-mvs291.67 16491.51 15592.15 22696.22 17282.61 29797.74 22797.53 11993.85 3796.27 8496.15 19483.19 16497.44 22095.81 8266.86 34396.40 220
c3_l88.19 22887.23 22591.06 24594.97 22586.17 23997.72 22895.38 28683.43 27181.68 27091.37 27582.81 17095.72 30084.04 23673.70 30991.29 284
baseline192.61 14691.28 15896.58 9797.05 14694.63 4897.72 22896.20 22589.82 13288.56 19596.85 17786.85 10497.82 19288.42 18480.10 26897.30 200
XXY-MVS87.75 23386.02 24292.95 20990.46 30589.70 16097.71 23095.90 25084.02 26080.95 27494.05 22067.51 28897.10 23185.16 21778.41 27592.04 257
FMVSNet286.90 24484.79 26293.24 20395.11 21692.54 9497.67 23195.86 25682.94 27980.55 27891.17 28062.89 31195.29 31177.23 28579.71 27191.90 260
DP-MVS88.75 21986.56 23595.34 14298.92 8987.45 20697.64 23293.52 33270.55 34681.49 27197.25 15674.43 23599.88 4871.14 32494.09 16798.67 156
EI-MVSNet89.87 19889.38 18991.36 24194.32 24085.87 24897.61 23396.59 19785.10 24385.51 22097.10 16581.30 19596.56 25183.85 23983.03 25391.64 264
CVMVSNet90.30 18890.91 16688.46 30394.32 24073.58 34597.61 23397.59 10790.16 12588.43 19797.10 16576.83 22292.86 33882.64 24993.54 17298.93 135
WR-MVS_H86.53 25385.49 25189.66 28391.04 29983.31 28597.53 23598.20 3184.95 24979.64 29090.90 28478.01 21695.33 31076.29 29572.81 31790.35 309
baseline93.91 11393.30 11695.72 13095.10 21990.07 14897.48 23695.91 24991.03 9993.54 13397.68 13879.58 20298.02 18294.27 11695.14 15999.08 121
PS-MVSNAJss89.54 20389.05 19491.00 24788.77 32584.36 27397.39 23795.97 23688.47 17181.88 26593.80 23182.48 17896.50 25589.34 17583.34 25292.15 251
testgi82.29 29681.00 29986.17 31887.24 34174.84 34097.39 23791.62 35288.63 16675.85 31895.42 20746.07 35791.55 35366.87 33979.94 26992.12 252
CP-MVSNet86.54 25285.45 25289.79 27891.02 30082.78 29497.38 23997.56 11485.37 23979.53 29393.03 25171.86 26095.25 31279.92 26973.43 31591.34 281
pm-mvs184.68 27782.78 28390.40 26289.58 31585.18 26197.31 24094.73 30781.93 29776.05 31492.01 26365.48 30396.11 28378.75 27969.14 33589.91 320
bset_n11_16_dypcd89.07 20787.85 21492.76 21486.16 34890.66 13597.30 24195.62 26989.78 13483.94 23393.15 24974.85 22895.89 29591.34 14878.48 27491.74 262
tfpnnormal83.65 29081.35 29690.56 25891.37 29688.06 19297.29 24297.87 5278.51 32176.20 31290.91 28364.78 30596.47 25861.71 35173.50 31287.13 346
Anonymous2023121184.72 27682.65 28790.91 24997.71 12184.55 27197.28 24396.67 19366.88 35779.18 29790.87 28558.47 32496.60 24982.61 25074.20 30591.59 271
TransMVSNet (Re)81.97 29879.61 30689.08 29489.70 31384.01 27797.26 24491.85 35078.84 31873.07 33491.62 27067.17 29195.21 31367.50 33559.46 35588.02 337
pmmvs487.58 23886.17 24191.80 23389.58 31588.92 17597.25 24595.28 29082.54 28780.49 27993.17 24775.62 22596.05 28582.75 24878.90 27290.42 308
v886.11 25884.45 26791.10 24489.99 30886.85 22297.24 24695.36 28881.99 29579.89 28889.86 31474.53 23496.39 26378.83 27872.32 32490.05 317
MTAPA96.09 5695.80 6496.96 7399.29 6691.19 11597.23 24797.45 13692.58 6094.39 11999.24 2986.43 11899.99 596.22 7399.40 7299.71 59
MVS_Test93.67 12292.67 13096.69 9296.72 15592.66 8897.22 24896.03 23487.69 20395.12 10994.03 22381.55 19098.28 16889.17 17996.46 13899.14 114
v1085.73 26784.01 27390.87 25290.03 30786.73 22497.20 24995.22 29881.25 30379.85 28989.75 31573.30 24796.28 27776.87 28972.64 31989.61 324
PS-CasMVS85.81 26484.58 26689.49 28890.77 30282.11 30097.20 24997.36 15084.83 25179.12 29892.84 25467.42 28995.16 31478.39 28173.25 31691.21 286
ppachtmachnet_test83.63 29181.57 29489.80 27789.01 32285.09 26497.13 25194.50 31378.84 31876.14 31391.00 28269.78 27194.61 32663.40 34674.36 30289.71 323
PEN-MVS85.21 27283.93 27489.07 29589.89 31181.31 30897.09 25297.24 15684.45 25678.66 30092.68 25668.44 28094.87 31975.98 29770.92 33391.04 290
mvs_anonymous92.50 14991.65 15295.06 15096.60 15889.64 16197.06 25396.44 21086.64 22284.14 23093.93 22782.49 17796.17 28091.47 14696.08 14999.35 95
our_test_384.47 28282.80 28189.50 28689.01 32283.90 27997.03 25494.56 31281.33 30275.36 32190.52 30171.69 26294.54 32768.81 33176.84 28790.07 315
jajsoiax87.35 23986.51 23689.87 27487.75 33981.74 30297.03 25495.98 23588.47 17180.15 28493.80 23161.47 31696.36 26589.44 17384.47 24191.50 273
eth_miper_zixun_eth87.76 23287.00 22990.06 27094.67 23582.65 29697.02 25695.37 28784.19 25881.86 26891.58 27281.47 19295.90 29483.24 24173.61 31091.61 269
PatchMatch-RL91.47 16790.54 17594.26 17898.20 10986.36 23396.94 25797.14 16887.75 19988.98 19295.75 20171.80 26199.40 12280.92 26397.39 12797.02 210
MS-PatchMatch86.75 24785.92 24489.22 29191.97 28582.47 29896.91 25896.14 23083.74 26577.73 30893.53 23958.19 32597.37 22576.75 29198.35 11087.84 338
LS3D90.19 19188.72 20194.59 16898.97 8586.33 23496.90 25996.60 19674.96 33584.06 23298.74 8975.78 22499.83 6174.93 30397.57 12197.62 194
CL-MVSNet_self_test79.89 30878.34 30884.54 32881.56 36075.01 33896.88 26095.62 26981.10 30475.86 31785.81 34368.49 27990.26 35663.21 34756.51 35888.35 335
LCM-MVSNet-Re88.59 22188.61 20488.51 30295.53 19972.68 34996.85 26188.43 36588.45 17473.14 33190.63 29475.82 22394.38 32892.95 13595.71 15698.48 165
DTE-MVSNet84.14 28682.80 28188.14 30488.95 32479.87 32096.81 26296.24 22283.50 27077.60 30992.52 25867.89 28694.24 33072.64 32069.05 33690.32 310
GBi-Net86.67 24984.96 25691.80 23395.11 21688.81 17796.77 26395.25 29182.94 27982.12 25790.25 30662.89 31194.97 31679.04 27480.24 26591.62 266
test186.67 24984.96 25691.80 23395.11 21688.81 17796.77 26395.25 29182.94 27982.12 25790.25 30662.89 31194.97 31679.04 27480.24 26591.62 266
FMVSNet183.94 28981.32 29791.80 23391.94 28788.81 17796.77 26395.25 29177.98 32278.25 30690.25 30650.37 35094.97 31673.27 31677.81 28291.62 266
v7n84.42 28382.75 28489.43 28988.15 33281.86 30196.75 26695.67 26780.53 30978.38 30589.43 31969.89 27096.35 27073.83 31372.13 32690.07 315
miper_lstm_enhance86.90 24486.20 24089.00 29694.53 23781.19 31096.74 26795.24 29482.33 29180.15 28490.51 30281.99 18594.68 32580.71 26573.58 31191.12 288
mvs_tets87.09 24286.22 23989.71 27987.87 33581.39 30696.73 26895.90 25088.19 18679.99 28693.61 23659.96 32296.31 27389.40 17484.34 24291.43 277
Effi-MVS+93.87 11593.15 12096.02 11995.79 18790.76 13196.70 26995.78 25986.98 21495.71 9897.17 16379.58 20298.01 18394.57 11296.09 14899.31 99
NR-MVSNet87.74 23586.00 24392.96 20891.46 29490.68 13496.65 27097.42 14388.02 19173.42 32993.68 23377.31 21995.83 29784.26 22971.82 32992.36 243
DWT-MVSNet_test94.36 10493.95 10595.62 13296.99 14889.47 16496.62 27197.38 14790.96 10193.07 14097.27 15493.73 1598.09 17585.86 21493.65 17199.29 101
Anonymous2023120680.76 30379.42 30784.79 32684.78 35172.98 34696.53 27292.97 33679.56 31474.33 32388.83 32261.27 31892.15 34960.59 35375.92 28989.24 329
MSDG88.29 22686.37 23794.04 18796.90 14986.15 24096.52 27394.36 31877.89 32679.22 29696.95 17269.72 27299.59 9673.20 31792.58 18396.37 221
ACMH+83.78 1584.21 28482.56 28989.15 29393.73 25979.16 32196.43 27494.28 31981.09 30574.00 32694.03 22354.58 33997.67 20476.10 29678.81 27390.63 305
anonymousdsp86.69 24885.75 24789.53 28586.46 34582.94 28896.39 27595.71 26383.97 26279.63 29190.70 28968.85 27695.94 28986.01 20884.02 24489.72 322
OpenMVS_ROBcopyleft73.86 2077.99 31875.06 32286.77 31583.81 35577.94 33296.38 27691.53 35467.54 35668.38 34487.13 33643.94 35896.08 28455.03 36081.83 26186.29 350
MDA-MVSNet-bldmvs77.82 31974.75 32387.03 31388.33 33078.52 32796.34 27792.85 33775.57 33348.87 36487.89 32657.32 32892.49 34660.79 35264.80 34790.08 314
IterMVS85.81 26484.67 26489.22 29193.51 26283.67 28196.32 27894.80 30585.09 24478.69 29990.17 31266.57 29693.17 33779.48 27277.42 28490.81 295
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IterMVS-SCA-FT85.73 26784.64 26589.00 29693.46 26582.90 29096.27 27994.70 30885.02 24778.62 30190.35 30466.61 29493.33 33479.38 27377.36 28590.76 299
ACMH83.09 1784.60 27882.61 28890.57 25793.18 27182.94 28896.27 27994.92 30281.01 30672.61 33793.61 23656.54 32997.79 19474.31 30881.07 26490.99 291
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
SCA90.64 18489.25 19194.83 15994.95 22688.83 17696.26 28197.21 16090.06 12990.03 18290.62 29566.61 29496.81 24183.16 24394.36 16598.84 141
MDA-MVSNet_test_wron79.65 30977.05 31387.45 31087.79 33880.13 31896.25 28294.44 31473.87 33951.80 36287.47 33268.04 28392.12 35066.02 34067.79 34090.09 313
YYNet179.64 31077.04 31487.43 31187.80 33779.98 31996.23 28394.44 31473.83 34051.83 36187.53 32967.96 28592.07 35166.00 34167.75 34190.23 312
131493.44 12691.98 14597.84 3395.24 20694.38 5496.22 28497.92 4890.18 12282.28 25497.71 13777.63 21899.80 6891.94 14498.67 10399.34 97
112195.19 8294.45 8897.42 4998.88 9192.58 9396.22 28497.75 6785.50 23896.86 6999.01 6488.59 7099.90 4487.64 19499.60 5699.79 38
MVS93.92 11292.28 13698.83 695.69 19196.82 796.22 28498.17 3284.89 25084.34 22998.61 10179.32 20699.83 6193.88 12099.43 6899.86 32
EG-PatchMatch MVS79.92 30677.59 31086.90 31487.06 34377.90 33396.20 28794.06 32374.61 33666.53 35388.76 32340.40 36496.20 27867.02 33783.66 24886.61 347
test20.0378.51 31677.48 31181.62 33883.07 35671.03 35396.11 28892.83 33881.66 29969.31 34289.68 31657.53 32687.29 36358.65 35768.47 33786.53 348
MVP-Stereo86.61 25185.83 24588.93 29888.70 32783.85 28096.07 28994.41 31782.15 29475.64 31991.96 26567.65 28796.45 26077.20 28798.72 10186.51 349
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
EU-MVSNet84.19 28584.42 26983.52 33288.64 32867.37 36196.04 29095.76 26185.29 24078.44 30493.18 24670.67 26891.48 35475.79 29975.98 28891.70 263
XVG-OURS-SEG-HR90.95 17790.66 17491.83 23195.18 21281.14 31295.92 29195.92 24488.40 17990.33 17997.85 12870.66 26999.38 12392.83 13888.83 21794.98 227
AllTest84.97 27483.12 27890.52 25996.82 15178.84 32495.89 29292.17 34477.96 32475.94 31595.50 20455.48 33399.18 13571.15 32287.14 22293.55 233
COLMAP_ROBcopyleft82.69 1884.54 28082.82 28089.70 28096.72 15578.85 32395.89 29292.83 33871.55 34477.54 31095.89 20059.40 32399.14 14067.26 33688.26 21891.11 289
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
UA-Net93.30 13292.62 13195.34 14296.27 17088.53 18595.88 29496.97 18590.90 10395.37 10497.07 16782.38 18199.10 14283.91 23794.86 16298.38 170
test_040278.81 31376.33 31786.26 31791.18 29778.44 32895.88 29491.34 35568.55 35270.51 34089.91 31352.65 34594.99 31547.14 36479.78 27085.34 355
pmmvs679.90 30777.31 31287.67 30884.17 35378.13 33095.86 29693.68 32967.94 35572.67 33689.62 31750.98 34995.75 29974.80 30666.04 34489.14 330
N_pmnet70.19 32769.87 32971.12 34688.24 33130.63 37995.85 29728.70 37970.18 34868.73 34386.55 33964.04 30893.81 33153.12 36273.46 31388.94 331
MVS_030484.13 28782.66 28688.52 30193.07 27380.15 31795.81 29898.21 3079.27 31586.85 21286.40 34041.33 36294.69 32476.36 29486.69 22590.73 301
XVG-OURS90.83 17990.49 17691.86 23095.23 20781.25 30995.79 29995.92 24488.96 15890.02 18398.03 12771.60 26399.35 12991.06 15187.78 22194.98 227
Anonymous2024052178.63 31576.90 31583.82 33082.82 35772.86 34795.72 30093.57 33173.55 34172.17 33884.79 34549.69 35292.51 34565.29 34374.50 29986.09 351
K. test v381.04 30279.77 30584.83 32587.41 34070.23 35695.60 30193.93 32583.70 26767.51 34989.35 32055.76 33193.58 33376.67 29268.03 33990.67 304
UniMVSNet_ETH3D85.65 26983.79 27591.21 24290.41 30680.75 31695.36 30295.78 25978.76 32081.83 26994.33 21949.86 35196.66 24684.30 22883.52 25096.22 222
PCF-MVS89.78 591.26 17089.63 18396.16 11695.44 20191.58 10895.29 30396.10 23285.07 24582.75 24497.45 14878.28 21499.78 7080.60 26695.65 15797.12 204
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
SixPastTwentyTwo82.63 29581.58 29385.79 32088.12 33371.01 35495.17 30492.54 34084.33 25772.93 33592.08 26060.41 32195.61 30474.47 30774.15 30690.75 300
USDC84.74 27582.93 27990.16 26891.73 29183.54 28295.00 30593.30 33488.77 16573.19 33093.30 24353.62 34297.65 20675.88 29881.54 26389.30 327
OurMVSNet-221017-084.13 28783.59 27685.77 32187.81 33670.24 35594.89 30693.65 33086.08 23076.53 31193.28 24461.41 31796.14 28280.95 26277.69 28390.93 292
CHOSEN 280x42096.80 3696.85 2896.66 9497.85 11894.42 5394.76 30798.36 2492.50 6395.62 10197.52 14597.92 197.38 22398.31 3798.80 9898.20 181
test_method70.10 32868.66 33174.41 34486.30 34755.84 36894.47 30889.82 36135.18 36766.15 35484.75 34630.54 36777.96 36870.40 32860.33 35389.44 326
new-patchmatchnet74.80 32472.40 32781.99 33778.36 36672.20 35094.44 30992.36 34277.06 32763.47 35679.98 35651.04 34888.85 35960.53 35454.35 36184.92 356
test12316.58 34319.47 3457.91 3573.59 3815.37 38194.32 3101.39 3822.49 37513.98 37544.60 3722.91 3802.65 37611.35 3750.57 37515.70 371
XVG-ACMP-BASELINE85.86 26284.95 25888.57 30089.90 31077.12 33494.30 31195.60 27287.40 20982.12 25792.99 25353.42 34397.66 20585.02 22083.83 24590.92 293
pmmvs372.86 32669.76 33082.17 33573.86 36774.19 34294.20 31289.01 36464.23 36167.72 34780.91 35441.48 36088.65 36062.40 34954.02 36283.68 358
pmmvs-eth3d78.71 31476.16 31886.38 31680.25 36381.19 31094.17 31392.13 34677.97 32366.90 35282.31 35055.76 33192.56 34473.63 31562.31 35185.38 353
CMPMVSbinary58.40 2180.48 30480.11 30481.59 33985.10 35059.56 36594.14 31495.95 24068.54 35360.71 35993.31 24255.35 33697.87 18983.06 24684.85 23887.33 343
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
HY-MVS88.56 795.29 7894.23 9298.48 1397.72 12096.41 1294.03 31598.74 1492.42 6895.65 10094.76 21586.52 11599.49 10895.29 9692.97 17699.53 82
TinyColmap80.42 30577.94 30987.85 30692.09 28478.58 32693.74 31689.94 36074.99 33469.77 34191.78 26846.09 35697.58 21065.17 34477.89 27887.38 341
FMVSNet582.29 29680.54 30087.52 30993.79 25884.01 27793.73 31792.47 34176.92 32974.27 32486.15 34263.69 31089.24 35869.07 33074.79 29789.29 328
RPSCF85.33 27185.55 25084.67 32794.63 23662.28 36393.73 31793.76 32674.38 33885.23 22397.06 16864.09 30798.31 16580.98 26186.08 23193.41 235
DSMNet-mixed81.60 30181.43 29582.10 33684.36 35260.79 36493.63 31986.74 36779.00 31679.32 29587.15 33563.87 30989.78 35766.89 33891.92 19395.73 225
TDRefinement78.01 31775.31 32086.10 31970.06 36973.84 34393.59 32091.58 35374.51 33773.08 33391.04 28149.63 35397.12 22874.88 30459.47 35487.33 343
LF4IMVS81.94 29981.17 29884.25 32987.23 34268.87 36093.35 32191.93 34983.35 27375.40 32093.00 25249.25 35496.65 24778.88 27778.11 27787.22 345
LTVRE_ROB81.71 1984.59 27982.72 28590.18 26792.89 27683.18 28693.15 32294.74 30678.99 31775.14 32292.69 25565.64 30097.63 20769.46 32981.82 26289.74 321
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
tpm89.67 20088.95 19691.82 23292.54 27881.43 30492.95 32395.92 24487.81 19690.50 17589.44 31884.99 14095.65 30283.67 24082.71 25698.38 170
CostFormer92.89 14092.48 13494.12 18394.99 22485.89 24792.89 32497.00 18486.98 21495.00 11190.78 28690.05 5197.51 21592.92 13791.73 19898.96 129
KD-MVS_2432*160082.98 29380.52 30190.38 26394.32 24088.98 17192.87 32595.87 25480.46 31173.79 32787.49 33082.76 17393.29 33570.56 32646.53 36588.87 333
miper_refine_blended82.98 29380.52 30190.38 26394.32 24088.98 17192.87 32595.87 25480.46 31173.79 32787.49 33082.76 17393.29 33570.56 32646.53 36588.87 333
KD-MVS_self_test77.47 32075.88 31982.24 33481.59 35968.93 35992.83 32794.02 32477.03 32873.14 33183.39 34855.44 33590.42 35567.95 33457.53 35787.38 341
ab-mvs91.05 17589.17 19296.69 9295.96 18491.72 10392.62 32897.23 15885.61 23589.74 18693.89 22968.55 27899.42 11991.09 15087.84 22098.92 136
tpm291.77 16291.09 16193.82 19494.83 23185.56 25592.51 32997.16 16784.00 26193.83 13090.66 29287.54 8897.17 22787.73 19391.55 20198.72 153
MIMVSNet175.92 32273.30 32583.81 33181.29 36175.57 33792.26 33092.05 34773.09 34267.48 35086.18 34140.87 36387.64 36255.78 35970.68 33488.21 336
UnsupCasMVSNet_eth78.90 31276.67 31685.58 32282.81 35874.94 33991.98 33196.31 21684.64 25365.84 35587.71 32751.33 34792.23 34872.89 31956.50 35989.56 325
tpmrst92.78 14192.16 14094.65 16596.27 17087.45 20691.83 33297.10 17589.10 15494.68 11590.69 29088.22 7597.73 20389.78 16791.80 19698.77 151
EPMVS92.59 14791.59 15395.59 13597.22 13790.03 15291.78 33398.04 4190.42 11591.66 15390.65 29386.49 11797.46 21881.78 25896.31 14399.28 103
dp90.16 19388.83 19994.14 18296.38 16786.42 22991.57 33497.06 17884.76 25288.81 19390.19 31184.29 14897.43 22175.05 30291.35 20598.56 161
MDTV_nov1_ep13_2view91.17 11891.38 33587.45 20893.08 13986.67 11087.02 19898.95 133
MDTV_nov1_ep1390.47 17796.14 18088.55 18391.34 33697.51 12589.58 14192.24 14890.50 30386.99 10397.61 20977.64 28492.34 186
new_pmnet76.02 32173.71 32482.95 33383.88 35472.85 34891.26 33792.26 34370.44 34762.60 35781.37 35247.64 35592.32 34761.85 35072.10 32783.68 358
PatchmatchNetpermissive92.05 15991.04 16395.06 15096.17 17789.04 16991.26 33797.26 15389.56 14390.64 17290.56 29988.35 7497.11 22979.53 27096.07 15099.03 124
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
FPMVS61.57 32960.32 33265.34 34860.14 37342.44 37491.02 33989.72 36244.15 36442.63 36680.93 35319.02 37080.59 36742.50 36572.76 31873.00 362
PM-MVS74.88 32372.85 32680.98 34078.98 36564.75 36290.81 34085.77 36880.95 30768.23 34682.81 34929.08 36892.84 33976.54 29362.46 35085.36 354
tpm cat188.89 21187.27 22493.76 19595.79 18785.32 25990.76 34197.09 17676.14 33285.72 21888.59 32482.92 16898.04 18176.96 28891.43 20297.90 188
test_post190.74 34241.37 37485.38 13796.36 26583.16 243
tpmvs89.16 20587.76 21593.35 20197.19 13884.75 26990.58 34397.36 15081.99 29584.56 22689.31 32183.98 15198.17 17074.85 30590.00 21497.12 204
EGC-MVSNET60.70 33055.37 33476.72 34286.35 34671.08 35289.96 34484.44 3710.38 3761.50 37784.09 34737.30 36588.10 36140.85 36673.44 31470.97 364
UnsupCasMVSNet_bld73.85 32570.14 32884.99 32479.44 36475.73 33688.53 34595.24 29470.12 34961.94 35874.81 35941.41 36193.62 33268.65 33251.13 36485.62 352
GG-mvs-BLEND96.98 7196.53 16094.81 4287.20 34697.74 6993.91 12896.40 18996.56 296.94 23795.08 9998.95 9299.20 111
ADS-MVSNet287.62 23786.88 23089.86 27596.21 17379.14 32287.15 34792.99 33583.01 27789.91 18487.27 33378.87 20992.80 34174.20 30992.27 18897.64 191
ADS-MVSNet88.99 20887.30 22394.07 18496.21 17387.56 20387.15 34796.78 19183.01 27789.91 18487.27 33378.87 20997.01 23474.20 30992.27 18897.64 191
PMMVS258.97 33255.07 33570.69 34762.72 37055.37 36985.97 34980.52 37249.48 36345.94 36568.31 36115.73 37480.78 36649.79 36337.12 36775.91 361
MIMVSNet84.48 28181.83 29192.42 22091.73 29187.36 20985.52 35094.42 31681.40 30181.91 26487.58 32851.92 34692.81 34073.84 31288.15 21997.08 208
MVS-HIRNet79.01 31175.13 32190.66 25693.82 25781.69 30385.16 35193.75 32754.54 36274.17 32559.15 36657.46 32796.58 25063.74 34594.38 16493.72 232
gg-mvs-nofinetune90.00 19687.71 21796.89 8296.15 17894.69 4785.15 35297.74 6968.32 35492.97 14260.16 36496.10 396.84 23993.89 11998.87 9399.14 114
JIA-IIPM85.97 26084.85 26089.33 29093.23 27073.68 34485.05 35397.13 17069.62 35091.56 15668.03 36288.03 8096.96 23577.89 28393.12 17497.34 199
CR-MVSNet88.83 21587.38 22293.16 20593.47 26386.24 23584.97 35494.20 32188.92 16290.76 17086.88 33784.43 14694.82 32170.64 32592.17 19198.41 167
RPMNet85.07 27381.88 29094.64 16693.47 26386.24 23584.97 35497.21 16064.85 36090.76 17078.80 35880.95 19699.27 13353.76 36192.17 19198.41 167
EMVS39.96 33939.88 34140.18 35559.57 37432.12 37884.79 35664.57 37826.27 37026.14 37144.18 37318.73 37159.29 37417.03 37217.67 37129.12 370
Patchmtry83.61 29281.64 29289.50 28693.36 26782.84 29384.10 35794.20 32169.47 35179.57 29286.88 33784.43 14694.78 32268.48 33374.30 30390.88 294
Patchmatch-RL test81.90 30080.13 30387.23 31280.71 36270.12 35784.07 35888.19 36683.16 27670.57 33982.18 35187.18 9892.59 34382.28 25362.78 34898.98 127
E-PMN41.02 33840.93 34041.29 35461.97 37133.83 37684.00 35965.17 37727.17 36927.56 36946.72 37017.63 37360.41 37319.32 37118.82 36929.61 369
PatchT85.44 27083.19 27792.22 22293.13 27283.00 28783.80 36096.37 21370.62 34590.55 17379.63 35784.81 14494.87 31958.18 35891.59 20098.79 148
Patchmatch-test86.25 25784.06 27292.82 21194.42 23882.88 29282.88 36194.23 32071.58 34379.39 29490.62 29589.00 6496.42 26263.03 34891.37 20499.16 113
LCM-MVSNet60.07 33156.37 33371.18 34554.81 37548.67 37282.17 36289.48 36337.95 36549.13 36369.12 36013.75 37681.76 36459.28 35551.63 36383.10 360
ambc79.60 34172.76 36856.61 36776.20 36392.01 34868.25 34580.23 35523.34 36994.73 32373.78 31460.81 35287.48 340
ANet_high50.71 33546.17 33864.33 34944.27 37752.30 37076.13 36478.73 37364.95 35927.37 37055.23 36714.61 37567.74 37036.01 36718.23 37072.95 363
tmp_tt53.66 33452.86 33656.05 35132.75 37941.97 37573.42 36576.12 37521.91 37239.68 36896.39 19142.59 35965.10 37178.00 28214.92 37261.08 365
PMVScopyleft41.42 2345.67 33642.50 33955.17 35234.28 37832.37 37766.24 36678.71 37430.72 36822.04 37359.59 3654.59 37777.85 36927.49 36958.84 35655.29 366
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive44.00 2241.70 33737.64 34253.90 35349.46 37643.37 37365.09 36766.66 37626.19 37125.77 37248.53 3693.58 37963.35 37226.15 37027.28 36854.97 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
Gipumacopyleft54.77 33352.22 33762.40 35086.50 34459.37 36650.20 36890.35 35936.52 36641.20 36749.49 36818.33 37281.29 36532.10 36865.34 34546.54 368
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
wuyk23d16.71 34216.73 34616.65 35660.15 37225.22 38041.24 3695.17 3806.56 3735.48 3763.61 3763.64 37822.72 37515.20 3739.52 3731.99 373
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
cdsmvs_eth3d_5k22.52 34030.03 3430.00 3590.00 3820.00 3830.00 37097.17 1660.00 3770.00 37898.77 8674.35 2370.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas6.87 3459.16 3480.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37782.48 1780.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs-re8.21 34410.94 3470.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37898.50 1070.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
MSC_two_6792asdad99.51 299.61 2798.60 297.69 8299.98 1099.55 999.83 1599.96 10
PC_three_145294.60 2099.41 299.12 4895.50 699.96 3099.84 299.92 399.97 7
No_MVS99.51 299.61 2798.60 297.69 8299.98 1099.55 999.83 1599.96 10
test_one_060199.59 3194.89 3597.64 9393.14 5098.93 1599.45 1693.45 17
eth-test20.00 382
eth-test0.00 382
ZD-MVS99.67 1393.28 7497.61 10187.78 19797.41 5699.16 4190.15 5099.56 9798.35 3399.70 39
IU-MVS99.63 2195.38 2197.73 7395.54 1599.54 199.69 599.81 2399.99 1
test_241102_TWO97.72 7594.17 2599.23 799.54 393.14 2399.98 1099.70 399.82 1999.99 1
test_241102_ONE99.63 2195.24 2497.72 7594.16 2799.30 599.49 1093.32 1899.98 10
test_0728_THIRD93.01 5199.07 1099.46 1194.66 1299.97 2399.25 1499.82 1999.95 15
GSMVS98.84 141
test_part299.54 4095.42 1998.13 35
sam_mvs188.39 7398.84 141
sam_mvs87.08 99
MTGPAbinary97.45 136
test_post46.00 37187.37 9297.11 229
patchmatchnet-post84.86 34488.73 6796.81 241
gm-plane-assit94.69 23488.14 19088.22 18597.20 16098.29 16790.79 156
test9_res98.60 2399.87 999.90 24
agg_prior297.84 4599.87 999.91 22
agg_prior99.54 4092.66 8897.64 9397.98 4499.61 93
TestCases90.52 25996.82 15178.84 32492.17 34477.96 32475.94 31595.50 20455.48 33399.18 13571.15 32287.14 22293.55 233
test_prior97.01 6599.58 3391.77 10097.57 11299.49 10899.79 38
新几何197.40 5198.92 8992.51 9597.77 6685.52 23696.69 7899.06 5688.08 7999.89 4784.88 22299.62 5199.79 38
旧先验198.97 8592.90 8797.74 6999.15 4391.05 3299.33 7499.60 77
原ACMM196.18 11399.03 8390.08 14797.63 9888.98 15797.00 6498.97 6688.14 7899.71 7788.23 18799.62 5198.76 152
testdata299.88 4884.16 231
segment_acmp90.56 42
testdata95.26 14598.20 10987.28 21297.60 10385.21 24198.48 2899.15 4388.15 7798.72 15590.29 16199.45 6699.78 42
test1297.83 3499.33 6494.45 5197.55 11597.56 5188.60 6899.50 10799.71 3899.55 81
plane_prior793.84 25585.73 251
plane_prior693.92 25286.02 24572.92 249
plane_prior596.30 21797.75 20193.46 12886.17 22992.67 238
plane_prior496.52 185
plane_prior385.91 24693.65 4286.99 208
plane_prior193.90 254
n20.00 383
nn0.00 383
door-mid84.90 370
lessismore_v085.08 32385.59 34969.28 35890.56 35867.68 34890.21 31054.21 34195.46 30673.88 31162.64 34990.50 307
LGP-MVS_train90.06 27093.35 26880.95 31495.94 24187.73 20183.17 24096.11 19666.28 29797.77 19690.19 16285.19 23591.46 275
test1197.68 84
door85.30 369
HQP5-MVS86.39 231
BP-MVS93.82 123
HQP4-MVS87.57 20197.77 19692.72 236
HQP3-MVS96.37 21386.29 226
HQP2-MVS73.34 245
NP-MVS93.94 25186.22 23796.67 183
ACMMP++_ref82.64 257
ACMMP++83.83 245
Test By Simon83.62 154
ITE_SJBPF87.93 30592.26 28176.44 33593.47 33387.67 20479.95 28795.49 20656.50 33097.38 22375.24 30182.33 25989.98 319
DeepMVS_CXcopyleft76.08 34390.74 30351.65 37190.84 35786.47 22757.89 36087.98 32535.88 36692.60 34265.77 34265.06 34683.97 357