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
DVP-MVS++95.98 196.36 194.82 3497.78 5786.00 5598.29 197.49 590.75 2297.62 598.06 692.59 299.61 395.64 699.02 1298.86 10
FOURS198.86 185.54 7398.29 197.49 589.79 4596.29 15
CS-MVS94.12 3794.44 1993.17 8396.55 9683.08 13197.63 396.95 5891.71 1093.50 5796.21 8785.61 5698.24 13793.64 2598.17 6598.19 62
CP-MVS94.34 2794.21 3194.74 4098.39 2586.64 3697.60 497.24 3388.53 8192.73 7797.23 3285.20 6399.32 4092.15 5898.83 2198.25 59
CS-MVS-test94.02 3994.29 2593.24 7996.69 9083.24 12497.49 596.92 6192.14 392.90 6895.77 10785.02 6698.33 13293.03 3998.62 4898.13 68
APDe-MVS95.46 595.64 594.91 2498.26 3086.29 5197.46 697.40 2089.03 6796.20 1698.10 289.39 1699.34 3695.88 399.03 1199.10 4
SteuartSystems-ACMMP95.20 895.32 994.85 2996.99 8386.33 4797.33 797.30 2991.38 1395.39 2297.46 1988.98 1999.40 3194.12 1898.89 1898.82 15
Skip Steuart: Steuart Systems R&D Blog.
EPP-MVSNet91.70 8791.56 8492.13 13195.88 12280.50 20497.33 795.25 19386.15 14889.76 12795.60 11383.42 8398.32 13487.37 13393.25 16197.56 103
DROMVSNet93.44 5893.71 5192.63 10995.21 14882.43 15297.27 996.71 8890.57 2992.88 6995.80 10583.16 8498.16 14393.68 2498.14 6797.31 109
HPM-MVScopyleft94.02 3993.88 4494.43 5398.39 2585.78 6897.25 1097.07 4886.90 13192.62 8196.80 6084.85 7099.17 5392.43 4898.65 4698.33 46
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
test072698.78 385.93 6097.19 1197.47 1090.27 3397.64 498.13 191.47 8
3Dnovator86.66 591.73 8690.82 9794.44 5194.59 17886.37 4597.18 1297.02 5089.20 6084.31 24896.66 6673.74 19999.17 5386.74 14197.96 7697.79 94
HPM-MVS_fast93.40 6193.22 6093.94 6498.36 2784.83 8097.15 1396.80 7685.77 15592.47 8597.13 4182.38 9399.07 6190.51 9898.40 5897.92 86
SED-MVS95.91 296.28 294.80 3698.77 585.99 5797.13 1497.44 1490.31 3197.71 198.07 492.31 499.58 895.66 499.13 398.84 13
OPU-MVS96.21 398.00 4690.85 397.13 1497.08 4392.59 298.94 8792.25 5498.99 1498.84 13
DVP-MVScopyleft95.67 396.02 394.64 4398.78 385.93 6097.09 1696.73 8490.27 3397.04 1098.05 891.47 899.55 1595.62 899.08 798.45 38
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_SECOND95.01 1798.79 286.43 4397.09 1697.49 599.61 395.62 899.08 798.99 8
3Dnovator+87.14 492.42 7791.37 8595.55 695.63 13188.73 697.07 1896.77 7990.84 1984.02 25296.62 7175.95 16499.34 3687.77 12597.68 8498.59 24
IS-MVSNet91.43 9091.09 9292.46 11795.87 12481.38 17996.95 1993.69 25789.72 4889.50 13095.98 9878.57 13997.77 17483.02 18596.50 11098.22 61
HFP-MVS94.52 1894.40 2194.86 2798.61 1086.81 2696.94 2097.34 2288.63 7793.65 4997.21 3486.10 5099.49 2692.35 5298.77 2898.30 50
ACMMPR94.43 2394.28 2694.91 2498.63 986.69 3296.94 2097.32 2788.63 7793.53 5697.26 3185.04 6599.54 1992.35 5298.78 2598.50 28
XVS94.45 2194.32 2294.85 2998.54 1486.60 3896.93 2297.19 3890.66 2792.85 7097.16 4085.02 6699.49 2691.99 6498.56 5298.47 34
X-MVStestdata88.31 17586.13 21894.85 2998.54 1486.60 3896.93 2297.19 3890.66 2792.85 7023.41 37685.02 6699.49 2691.99 6498.56 5298.47 34
region2R94.43 2394.27 2894.92 2298.65 886.67 3496.92 2497.23 3588.60 7993.58 5397.27 2985.22 6299.54 1992.21 5598.74 3398.56 25
MSP-MVS95.42 695.56 694.98 2198.49 1886.52 4096.91 2597.47 1091.73 996.10 1796.69 6389.90 1299.30 4294.70 1298.04 7399.13 2
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
mPP-MVS93.99 4193.78 4894.63 4498.50 1785.90 6596.87 2696.91 6288.70 7591.83 9997.17 3983.96 8099.55 1591.44 8198.64 4798.43 40
ACMMPcopyleft93.24 6592.88 6994.30 5798.09 4285.33 7696.86 2797.45 1388.33 8590.15 12497.03 4881.44 10799.51 2490.85 9395.74 11798.04 77
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
ZNCC-MVS94.47 1994.28 2695.03 1698.52 1686.96 1996.85 2897.32 2788.24 9093.15 6297.04 4686.17 4999.62 192.40 5098.81 2298.52 26
QAPM89.51 13488.15 16193.59 7594.92 16284.58 8496.82 2996.70 8978.43 29283.41 26796.19 9273.18 20799.30 4277.11 26996.54 10896.89 130
CPTT-MVS91.99 8091.80 8192.55 11398.24 3381.98 16296.76 3096.49 10381.89 24290.24 12096.44 7978.59 13898.61 11189.68 10497.85 8097.06 121
MP-MVScopyleft94.25 3094.07 3994.77 3898.47 1986.31 4996.71 3196.98 5289.04 6691.98 9397.19 3785.43 6099.56 1092.06 6398.79 2398.44 39
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
PHI-MVS93.89 4693.65 5394.62 4596.84 8686.43 4396.69 3297.49 585.15 17293.56 5596.28 8485.60 5799.31 4192.45 4798.79 2398.12 70
mvsmamba89.96 12289.50 11891.33 16892.90 24081.82 16596.68 3392.37 28089.03 6787.00 17194.85 13773.05 20897.65 18391.03 8688.63 22194.51 215
SF-MVS94.97 1194.90 1395.20 1097.84 5287.76 1096.65 3497.48 987.76 10995.71 1997.70 1388.28 2399.35 3493.89 2298.78 2598.48 30
OpenMVScopyleft83.78 1188.74 16587.29 18093.08 8792.70 24485.39 7596.57 3596.43 10678.74 28880.85 29696.07 9669.64 25099.01 7378.01 26096.65 10594.83 200
GST-MVS94.21 3493.97 4394.90 2698.41 2486.82 2596.54 3697.19 3888.24 9093.26 5896.83 5685.48 5999.59 791.43 8298.40 5898.30 50
bld_raw_conf00589.19 14788.56 14791.09 17992.62 24681.17 18596.45 3791.24 31689.08 6486.16 19294.82 14068.16 27397.63 18790.03 10188.46 22694.47 223
#test#94.32 2994.14 3694.86 2798.61 1086.81 2696.43 3897.34 2287.51 11593.65 4997.21 3486.10 5099.49 2691.68 7698.77 2898.30 50
nrg03091.08 9890.39 10093.17 8393.07 23286.91 2296.41 3996.26 11688.30 8888.37 14594.85 13782.19 9997.64 18691.09 8482.95 27994.96 193
RRT_MVS89.09 15188.62 14590.49 20292.85 24179.65 22896.41 3994.41 23188.22 9285.50 20994.77 14269.36 25597.31 21989.33 10886.73 25394.51 215
SR-MVS94.23 3294.17 3594.43 5398.21 3585.78 6896.40 4196.90 6388.20 9494.33 3397.40 2384.75 7199.03 6793.35 3297.99 7498.48 30
canonicalmvs93.27 6492.75 7094.85 2995.70 12987.66 1396.33 4296.41 10790.00 3994.09 3994.60 15082.33 9598.62 11092.40 5092.86 16998.27 56
VDDNet89.56 13388.49 15292.76 10195.07 15482.09 15996.30 4393.19 26481.05 26291.88 9596.86 5461.16 32398.33 13288.43 11992.49 17597.84 91
APD-MVS_3200maxsize93.78 4893.77 4993.80 7197.92 4784.19 10096.30 4396.87 6786.96 12793.92 4397.47 1883.88 8198.96 8692.71 4597.87 7998.26 58
SR-MVS-dyc-post93.82 4793.82 4593.82 6797.92 4784.57 8596.28 4596.76 8087.46 11693.75 4697.43 2084.24 7699.01 7392.73 4297.80 8197.88 88
RE-MVS-def93.68 5297.92 4784.57 8596.28 4596.76 8087.46 11693.75 4697.43 2082.94 8792.73 4297.80 8197.88 88
test117293.97 4294.07 3993.66 7498.11 3983.45 11996.26 4796.84 7088.33 8594.19 3697.43 2084.24 7699.01 7393.26 3497.98 7598.52 26
SMA-MVScopyleft95.20 895.07 1095.59 598.14 3888.48 896.26 4797.28 3185.90 15297.67 398.10 288.41 2099.56 1094.66 1399.19 198.71 18
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
test250687.21 21886.28 21490.02 22895.62 13273.64 31996.25 4971.38 37787.89 10490.45 11796.65 6755.29 34698.09 15486.03 15096.94 9698.33 46
CSCG93.23 6693.05 6493.76 7298.04 4484.07 10296.22 5097.37 2184.15 18890.05 12595.66 11187.77 2899.15 5689.91 10298.27 6398.07 74
SD-MVS94.96 1295.33 893.88 6597.25 8086.69 3296.19 5197.11 4690.42 3096.95 1297.27 2989.53 1496.91 25094.38 1698.85 1998.03 78
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
ECVR-MVScopyleft89.09 15188.53 14890.77 19395.62 13275.89 30196.16 5284.22 36487.89 10490.20 12196.65 6763.19 30998.10 14685.90 15196.94 9698.33 46
testtj94.39 2694.18 3495.00 1898.24 3386.77 3096.16 5297.23 3587.28 12194.85 2997.04 4686.99 4299.52 2391.54 7898.33 6198.71 18
MTMP96.16 5260.64 380
test_part189.00 15987.99 16592.04 13295.94 12183.81 10996.14 5596.05 13486.44 14085.69 19993.73 18971.57 22297.66 18185.80 15380.54 31594.66 205
Anonymous2023121186.59 23685.13 24690.98 18996.52 9981.50 17296.14 5596.16 12573.78 33383.65 26192.15 23563.26 30897.37 21782.82 19081.74 29694.06 241
Vis-MVSNetpermissive91.75 8591.23 8893.29 7795.32 14383.78 11096.14 5595.98 13789.89 4090.45 11796.58 7375.09 17698.31 13584.75 16596.90 9897.78 95
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
TSAR-MVS + MP.94.85 1394.94 1194.58 4698.25 3186.33 4796.11 5896.62 9688.14 9696.10 1796.96 5089.09 1898.94 8794.48 1598.68 3998.48 30
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
test111189.10 14988.64 14290.48 20595.53 13774.97 30796.08 5984.89 36288.13 9790.16 12396.65 6763.29 30798.10 14686.14 14696.90 9898.39 42
9.1494.47 1897.79 5496.08 5997.44 1486.13 15095.10 2697.40 2388.34 2299.22 4993.25 3598.70 36
LFMVS90.08 11789.13 13192.95 9496.71 8982.32 15796.08 5989.91 34186.79 13292.15 9196.81 5862.60 31198.34 13087.18 13593.90 14698.19 62
test_low_dy_conf_00189.07 15388.60 14690.49 20292.39 25179.71 22796.07 6294.84 21786.25 14686.34 18794.97 13069.61 25197.31 21988.59 11688.35 23194.44 225
API-MVS90.66 10690.07 10892.45 11896.36 10384.57 8596.06 6395.22 19682.39 22689.13 13494.27 16380.32 11598.46 11980.16 23896.71 10394.33 227
EPNet91.79 8391.02 9394.10 6190.10 32585.25 7796.03 6492.05 29292.83 187.39 16595.78 10679.39 12999.01 7388.13 12297.48 8898.05 76
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Anonymous2024052988.09 18186.59 20392.58 11296.53 9881.92 16495.99 6595.84 14974.11 33189.06 13795.21 12361.44 31898.81 10083.67 17987.47 24397.01 124
alignmvs93.08 6892.50 7494.81 3595.62 13287.61 1495.99 6596.07 13189.77 4694.12 3894.87 13480.56 11398.66 10592.42 4993.10 16498.15 66
ETH3D-3000-0.194.61 1794.44 1995.12 1397.70 6087.71 1195.98 6797.44 1486.67 13695.25 2597.31 2787.73 3099.24 4793.11 3898.76 3098.40 41
MVSFormer91.68 8891.30 8692.80 9993.86 20883.88 10795.96 6895.90 14484.66 18291.76 10094.91 13277.92 14697.30 22189.64 10597.11 9297.24 113
test_djsdf89.03 15688.64 14290.21 21690.74 31179.28 24095.96 6895.90 14484.66 18285.33 22492.94 21174.02 19397.30 22189.64 10588.53 22394.05 242
HPM-MVS++copyleft95.14 1094.91 1295.83 498.25 3189.65 495.92 7096.96 5691.75 894.02 4196.83 5688.12 2599.55 1593.41 3198.94 1698.28 54
APD-MVScopyleft94.24 3194.07 3994.75 3998.06 4386.90 2395.88 7196.94 5985.68 15895.05 2797.18 3887.31 3699.07 6191.90 7298.61 5098.28 54
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HQP_MVS90.60 11090.19 10491.82 14894.70 17482.73 14495.85 7296.22 12190.81 2086.91 17594.86 13574.23 18798.12 14488.15 12089.99 19694.63 206
plane_prior295.85 7290.81 20
GeoE90.05 11889.43 12291.90 14495.16 15080.37 20695.80 7494.65 22683.90 19387.55 16194.75 14378.18 14497.62 18981.28 21793.63 15097.71 96
MSLP-MVS++93.72 5094.08 3892.65 10897.31 7483.43 12095.79 7597.33 2590.03 3893.58 5396.96 5084.87 6997.76 17592.19 5798.66 4496.76 132
FC-MVSNet-test90.27 11490.18 10590.53 19893.71 21479.85 22495.77 7697.59 289.31 5786.27 18994.67 14781.93 10597.01 24484.26 17088.09 23694.71 204
iter_conf_final89.42 14088.69 14191.60 15695.12 15382.93 13795.75 7792.14 28987.32 12087.12 16994.07 16667.09 27897.55 19390.61 9689.01 21694.32 228
FIs90.51 11190.35 10190.99 18793.99 20480.98 19095.73 7897.54 389.15 6286.72 17994.68 14681.83 10697.24 22985.18 15888.31 23294.76 203
VDD-MVS90.74 10289.92 11493.20 8196.27 10583.02 13395.73 7893.86 25288.42 8492.53 8296.84 5562.09 31398.64 10790.95 9092.62 17297.93 85
UGNet89.95 12388.95 13592.95 9494.51 18183.31 12395.70 8095.23 19489.37 5687.58 15993.94 17664.00 30298.78 10283.92 17496.31 11396.74 134
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
ACMMP_NAP94.74 1594.56 1795.28 898.02 4587.70 1295.68 8197.34 2288.28 8995.30 2497.67 1585.90 5499.54 1993.91 2198.95 1598.60 23
MAR-MVS90.30 11389.37 12493.07 8996.61 9384.48 9195.68 8195.67 16182.36 22887.85 15392.85 21276.63 15898.80 10180.01 23996.68 10495.91 162
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
UA-Net92.83 7092.54 7393.68 7396.10 11284.71 8295.66 8396.39 10991.92 593.22 6096.49 7783.16 8498.87 9184.47 16895.47 12297.45 107
NCCC94.81 1494.69 1695.17 1297.83 5387.46 1695.66 8396.93 6092.34 293.94 4296.58 7387.74 2999.44 3092.83 4198.40 5898.62 22
DeepC-MVS_fast89.43 294.04 3893.79 4794.80 3697.48 6986.78 2895.65 8596.89 6489.40 5592.81 7396.97 4985.37 6199.24 4790.87 9298.69 3798.38 44
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
WR-MVS_H87.80 18887.37 17889.10 25793.23 22778.12 26395.61 8697.30 2987.90 10283.72 25892.01 24579.65 12896.01 29676.36 27480.54 31593.16 284
Vis-MVSNet (Re-imp)89.59 13289.44 12190.03 22695.74 12675.85 30295.61 8690.80 32787.66 11487.83 15495.40 11876.79 15496.46 27778.37 25496.73 10297.80 93
DPE-MVScopyleft95.57 495.67 495.25 998.36 2787.28 1795.56 8897.51 489.13 6397.14 897.91 1191.64 799.62 194.61 1499.17 298.86 10
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
abl_693.18 6793.05 6493.57 7697.52 6784.27 9995.53 8996.67 9287.85 10693.20 6197.22 3380.35 11499.18 5291.91 6997.21 9197.26 112
VPA-MVSNet89.62 13088.96 13491.60 15693.86 20882.89 13995.46 9097.33 2587.91 10188.43 14493.31 19774.17 19097.40 21387.32 13482.86 28494.52 214
h-mvs3390.80 10090.15 10692.75 10296.01 11682.66 14895.43 9195.53 17389.80 4293.08 6595.64 11275.77 16599.00 7892.07 6178.05 33496.60 137
EIA-MVS91.95 8191.94 7991.98 13795.16 15080.01 21995.36 9296.73 8488.44 8289.34 13292.16 23483.82 8298.45 12289.35 10797.06 9497.48 105
tttt051788.61 16887.78 17091.11 17894.96 15977.81 27295.35 9389.69 34585.09 17488.05 15094.59 15166.93 28098.48 11783.27 18292.13 17897.03 123
PS-CasMVS87.32 21186.88 18888.63 26992.99 23776.33 29895.33 9496.61 9788.22 9283.30 27193.07 20873.03 21095.79 30778.36 25581.00 30993.75 260
ETH3 D test640093.64 5393.22 6094.92 2297.79 5486.84 2495.31 9597.26 3282.67 22393.81 4596.29 8387.29 3799.27 4589.87 10398.67 4198.65 21
jajsoiax88.24 17787.50 17490.48 20590.89 30580.14 21195.31 9595.65 16584.97 17684.24 24994.02 17165.31 29697.42 20688.56 11788.52 22493.89 246
ACMM84.12 989.14 14888.48 15391.12 17594.65 17781.22 18395.31 9596.12 12885.31 16885.92 19594.34 15670.19 24498.06 15885.65 15488.86 21994.08 240
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PGM-MVS93.96 4393.72 5094.68 4198.43 2186.22 5295.30 9897.78 187.45 11893.26 5897.33 2684.62 7299.51 2490.75 9498.57 5198.32 49
LPG-MVS_test89.45 13788.90 13791.12 17594.47 18281.49 17495.30 9896.14 12686.73 13485.45 21395.16 12469.89 24698.10 14687.70 12789.23 21293.77 258
CP-MVSNet87.63 19687.26 18388.74 26693.12 23076.59 29395.29 10096.58 9988.43 8383.49 26692.98 21075.28 17495.83 30478.97 25181.15 30393.79 254
CNVR-MVS95.40 795.37 795.50 798.11 3988.51 795.29 10096.96 5692.09 495.32 2397.08 4389.49 1599.33 3995.10 1198.85 1998.66 20
pm-mvs186.61 23485.54 23789.82 23591.44 27880.18 20995.28 10294.85 21583.84 19581.66 28792.62 22172.45 21896.48 27479.67 24378.06 33392.82 297
PS-MVSNAJss89.97 12189.62 11691.02 18491.90 26480.85 19595.26 10395.98 13786.26 14486.21 19094.29 16079.70 12497.65 18388.87 11488.10 23494.57 211
LS3D87.89 18586.32 21292.59 11196.07 11482.92 13895.23 10494.92 21175.66 31582.89 27495.98 9872.48 21699.21 5068.43 32695.23 13095.64 174
mvs_tets88.06 18387.28 18190.38 21190.94 30179.88 22295.22 10595.66 16385.10 17384.21 25093.94 17663.53 30697.40 21388.50 11888.40 22993.87 249
xxxxxxxxxxxxxcwj94.65 1694.70 1594.48 5097.85 5085.63 7195.21 10695.47 17789.44 5295.71 1997.70 1388.28 2399.35 3493.89 2298.78 2598.48 30
save fliter97.85 5085.63 7195.21 10696.82 7489.44 52
plane_prior82.73 14495.21 10689.66 4989.88 201
iter_conf0588.85 16188.08 16391.17 17494.27 19281.64 16995.18 10992.15 28886.23 14787.28 16694.07 16663.89 30597.55 19390.63 9589.00 21794.32 228
PEN-MVS86.80 22886.27 21588.40 27292.32 25375.71 30495.18 10996.38 11087.97 9982.82 27593.15 20473.39 20595.92 29976.15 27879.03 33293.59 266
TransMVSNet (Re)84.43 27383.06 27688.54 27091.72 27078.44 25495.18 10992.82 27182.73 22179.67 31492.12 23773.49 20195.96 29871.10 31168.73 35991.21 330
114514_t89.51 13488.50 15092.54 11498.11 3981.99 16195.16 11296.36 11170.19 35485.81 19695.25 12176.70 15698.63 10982.07 20296.86 10197.00 125
GBi-Net87.26 21285.98 22591.08 18094.01 20083.10 12895.14 11394.94 20783.57 20084.37 24191.64 25366.59 28796.34 28478.23 25785.36 25893.79 254
test187.26 21285.98 22591.08 18094.01 20083.10 12895.14 11394.94 20783.57 20084.37 24191.64 25366.59 28796.34 28478.23 25785.36 25893.79 254
FMVSNet185.85 25084.11 26391.08 18092.81 24283.10 12895.14 11394.94 20781.64 24882.68 27691.64 25359.01 33596.34 28475.37 28483.78 26993.79 254
bld_raw_dy_0_6487.60 20086.73 19490.21 21691.72 27080.26 20895.09 11688.61 35085.68 15885.55 20394.38 15563.93 30496.66 25887.73 12687.84 24193.72 262
ETV-MVS92.74 7292.66 7192.97 9395.20 14984.04 10495.07 11796.51 10290.73 2592.96 6791.19 26784.06 7898.34 13091.72 7596.54 10896.54 141
v7n86.81 22785.76 23589.95 23190.72 31279.25 24295.07 11795.92 14184.45 18582.29 27990.86 27872.60 21597.53 19679.42 24880.52 31893.08 288
ACMP84.23 889.01 15888.35 15490.99 18794.73 17181.27 18095.07 11795.89 14686.48 13883.67 26094.30 15969.33 25697.99 16487.10 14088.55 22293.72 262
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
zzz-MVS94.47 1994.30 2495.00 1898.42 2286.95 2095.06 12096.97 5391.07 1593.14 6397.56 1684.30 7499.56 1093.43 2998.75 3198.47 34
thres100view90087.63 19686.71 19690.38 21196.12 10978.55 25095.03 12191.58 30587.15 12288.06 14992.29 23168.91 26498.10 14670.13 31691.10 18394.48 221
MCST-MVS94.45 2194.20 3295.19 1198.46 2087.50 1595.00 12297.12 4487.13 12392.51 8496.30 8289.24 1799.34 3693.46 2898.62 4898.73 16
pmmvs683.42 28281.60 28688.87 26288.01 34977.87 27094.96 12394.24 23974.67 32778.80 31991.09 27460.17 32896.49 27377.06 27175.40 34592.23 313
mvs-test189.45 13789.14 13090.38 21193.33 22477.63 27894.95 12494.36 23387.70 11087.10 17092.81 21673.45 20298.03 16185.57 15693.04 16595.48 177
CANet93.54 5593.20 6294.55 4795.65 13085.73 7094.94 12596.69 9191.89 690.69 11595.88 10281.99 10499.54 1993.14 3797.95 7798.39 42
DTE-MVSNet86.11 24585.48 23987.98 28491.65 27674.92 30894.93 12695.75 15687.36 11982.26 28093.04 20972.85 21195.82 30574.04 29477.46 33893.20 282
ETH3D cwj APD-0.1693.91 4493.53 5595.06 1596.76 8887.78 994.92 12797.21 3784.33 18693.89 4497.09 4287.20 3899.29 4491.90 7298.44 5698.12 70
TranMVSNet+NR-MVSNet88.84 16287.95 16791.49 16092.68 24583.01 13494.92 12796.31 11289.88 4185.53 20693.85 18376.63 15896.96 24681.91 20679.87 32594.50 218
DeepC-MVS88.79 393.31 6292.99 6694.26 5896.07 11485.83 6694.89 12996.99 5189.02 6989.56 12897.37 2582.51 9299.38 3292.20 5698.30 6297.57 102
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
thres600view787.65 19386.67 19890.59 19596.08 11378.72 24694.88 13091.58 30587.06 12588.08 14892.30 23068.91 26498.10 14670.05 31991.10 18394.96 193
Anonymous20240521187.68 19186.13 21892.31 12596.66 9180.74 19894.87 13191.49 30980.47 26589.46 13195.44 11554.72 34898.23 13882.19 20089.89 20097.97 81
PVSNet_Blended_VisFu91.38 9190.91 9592.80 9996.39 10283.17 12794.87 13196.66 9383.29 20989.27 13394.46 15480.29 11699.17 5387.57 12995.37 12596.05 159
VNet92.24 7991.91 8093.24 7996.59 9483.43 12094.84 13396.44 10489.19 6194.08 4095.90 10177.85 14998.17 14288.90 11393.38 15898.13 68
MP-MVS-pluss94.21 3494.00 4294.85 2998.17 3686.65 3594.82 13497.17 4286.26 14492.83 7297.87 1285.57 5899.56 1094.37 1798.92 1798.34 45
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DP-MVS87.25 21485.36 24392.90 9697.65 6283.24 12494.81 13592.00 29474.99 32381.92 28695.00 12972.66 21399.05 6366.92 33792.33 17696.40 142
FMVSNet287.19 22085.82 23191.30 16994.01 20083.67 11394.79 13694.94 20783.57 20083.88 25592.05 24466.59 28796.51 27277.56 26485.01 26193.73 261
UniMVSNet (Re)89.80 12889.07 13292.01 13393.60 21884.52 8894.78 13797.47 1089.26 5886.44 18592.32 22982.10 10097.39 21684.81 16480.84 31194.12 236
NR-MVSNet88.58 17087.47 17691.93 14193.04 23484.16 10194.77 13896.25 11889.05 6580.04 31093.29 19979.02 13297.05 24281.71 21380.05 32294.59 209
UniMVSNet_ETH3D87.53 20386.37 20991.00 18692.44 24978.96 24594.74 13995.61 16784.07 19085.36 22394.52 15359.78 33197.34 21882.93 18687.88 23996.71 135
F-COLMAP87.95 18486.80 19291.40 16496.35 10480.88 19494.73 14095.45 18179.65 27582.04 28494.61 14971.13 22798.50 11676.24 27791.05 18794.80 202
ACMH80.38 1785.36 25783.68 26990.39 20994.45 18580.63 20094.73 14094.85 21582.09 23277.24 32892.65 22060.01 32997.58 19072.25 30484.87 26292.96 291
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Regformer-393.68 5193.64 5493.81 7095.36 14084.61 8394.68 14295.83 15091.27 1493.60 5296.71 6185.75 5598.86 9492.87 4096.65 10597.96 82
Regformer-493.91 4493.81 4694.19 6095.36 14085.47 7494.68 14296.41 10791.60 1293.75 4696.71 6185.95 5399.10 6093.21 3696.65 10598.01 80
anonymousdsp87.84 18687.09 18490.12 22289.13 33680.54 20394.67 14495.55 17082.05 23383.82 25692.12 23771.47 22597.15 23487.15 13687.80 24292.67 299
DP-MVS Recon91.95 8191.28 8793.96 6398.33 2985.92 6294.66 14596.66 9382.69 22290.03 12695.82 10482.30 9699.03 6784.57 16796.48 11196.91 129
thisisatest053088.67 16687.61 17391.86 14594.87 16580.07 21494.63 14689.90 34284.00 19188.46 14393.78 18566.88 28298.46 11983.30 18192.65 17197.06 121
Effi-MVS+91.59 8991.11 9093.01 9194.35 19183.39 12294.60 14795.10 20187.10 12490.57 11693.10 20781.43 10898.07 15789.29 10994.48 14097.59 101
tfpn200view987.58 20186.64 19990.41 20895.99 11878.64 24894.58 14891.98 29686.94 12988.09 14691.77 25069.18 26198.10 14670.13 31691.10 18394.48 221
thres40087.62 19886.64 19990.57 19695.99 11878.64 24894.58 14891.98 29686.94 12988.09 14691.77 25069.18 26198.10 14670.13 31691.10 18394.96 193
Regformer-194.22 3394.13 3794.51 4995.54 13586.36 4694.57 15096.44 10491.69 1194.32 3496.56 7587.05 4199.03 6793.35 3297.65 8698.15 66
Regformer-294.33 2894.22 2994.68 4195.54 13586.75 3194.57 15096.70 8991.84 794.41 3196.56 7587.19 3999.13 5793.50 2797.65 8698.16 65
casdiffmvs92.51 7592.43 7592.74 10394.41 18781.98 16294.54 15296.23 12089.57 5091.96 9496.17 9382.58 9198.01 16290.95 9095.45 12498.23 60
v887.50 20686.71 19689.89 23291.37 28379.40 23394.50 15395.38 18784.81 17983.60 26391.33 26276.05 16197.42 20682.84 18980.51 31992.84 296
tfpnnormal84.72 27083.23 27489.20 25492.79 24380.05 21694.48 15495.81 15182.38 22781.08 29491.21 26669.01 26396.95 24761.69 35480.59 31490.58 341
EI-MVSNet-Vis-set93.01 6992.92 6893.29 7795.01 15583.51 11894.48 15495.77 15490.87 1892.52 8396.67 6584.50 7399.00 7891.99 6494.44 14297.36 108
v1087.25 21486.38 20889.85 23391.19 28979.50 23094.48 15495.45 18183.79 19683.62 26291.19 26775.13 17597.42 20681.94 20580.60 31392.63 301
Effi-MVS+-dtu88.65 16788.35 15489.54 24693.33 22476.39 29694.47 15794.36 23387.70 11085.43 21689.56 30673.45 20297.26 22785.57 15691.28 18294.97 190
DU-MVS89.34 14588.50 15091.85 14793.04 23483.72 11194.47 15796.59 9889.50 5186.46 18293.29 19977.25 15097.23 23084.92 16181.02 30794.59 209
ACMH+81.04 1485.05 26583.46 27289.82 23594.66 17679.37 23494.44 15994.12 24582.19 23178.04 32392.82 21558.23 33797.54 19573.77 29782.90 28392.54 302
UniMVSNet_NR-MVSNet89.92 12589.29 12791.81 15093.39 22383.72 11194.43 16097.12 4489.80 4286.46 18293.32 19683.16 8497.23 23084.92 16181.02 30794.49 220
AdaColmapbinary89.89 12689.07 13292.37 12297.41 7083.03 13294.42 16195.92 14182.81 22086.34 18794.65 14873.89 19599.02 7180.69 22895.51 12095.05 188
EI-MVSNet-UG-set92.74 7292.62 7293.12 8594.86 16683.20 12694.40 16295.74 15790.71 2692.05 9296.60 7284.00 7998.99 8091.55 7793.63 15097.17 117
TSAR-MVS + GP.93.66 5293.41 5794.41 5596.59 9486.78 2894.40 16293.93 24889.77 4694.21 3595.59 11487.35 3598.61 11192.72 4496.15 11497.83 92
HQP-NCC94.17 19494.39 16488.81 7185.43 216
ACMP_Plane94.17 19494.39 16488.81 7185.43 216
HQP-MVS89.80 12889.28 12891.34 16794.17 19481.56 17094.39 16496.04 13588.81 7185.43 21693.97 17573.83 19797.96 16687.11 13889.77 20394.50 218
TAPA-MVS84.62 688.16 17987.01 18791.62 15596.64 9280.65 19994.39 16496.21 12476.38 30886.19 19195.44 11579.75 12298.08 15662.75 35295.29 12796.13 151
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPM_NR91.22 9590.78 9892.52 11597.60 6381.46 17694.37 16896.24 11986.39 14287.41 16294.80 14182.06 10298.48 11782.80 19195.37 12597.61 99
MTAPA94.42 2594.22 2995.00 1898.42 2286.95 2094.36 16996.97 5391.07 1593.14 6397.56 1684.30 7499.56 1093.43 2998.75 3198.47 34
PLCcopyleft84.53 789.06 15588.03 16492.15 13097.27 7882.69 14794.29 17095.44 18379.71 27484.01 25394.18 16576.68 15798.75 10377.28 26693.41 15795.02 189
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
baseline188.10 18087.28 18190.57 19694.96 15980.07 21494.27 17191.29 31486.74 13387.41 16294.00 17376.77 15596.20 28880.77 22679.31 33095.44 178
dcpmvs_293.49 5694.19 3391.38 16597.69 6176.78 29094.25 17296.29 11388.33 8594.46 3096.88 5388.07 2698.64 10793.62 2698.09 7098.73 16
COLMAP_ROBcopyleft80.39 1683.96 27682.04 28389.74 23995.28 14479.75 22594.25 17292.28 28475.17 32178.02 32493.77 18658.60 33697.84 17265.06 34585.92 25591.63 321
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
V4287.68 19186.86 18990.15 22090.58 31680.14 21194.24 17495.28 19283.66 19885.67 20091.33 26274.73 18297.41 21184.43 16981.83 29392.89 294
Baseline_NR-MVSNet87.07 22386.63 20188.40 27291.44 27877.87 27094.23 17592.57 27784.12 18985.74 19892.08 24177.25 15096.04 29382.29 19979.94 32391.30 327
FMVSNet387.40 20986.11 22091.30 16993.79 21383.64 11494.20 17694.81 22083.89 19484.37 24191.87 24968.45 27096.56 26978.23 25785.36 25893.70 264
OPM-MVS90.12 11689.56 11791.82 14893.14 22983.90 10694.16 17795.74 15788.96 7087.86 15295.43 11772.48 21697.91 17088.10 12390.18 19593.65 265
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
baseline92.39 7892.29 7792.69 10794.46 18481.77 16794.14 17896.27 11589.22 5991.88 9596.00 9782.35 9497.99 16491.05 8595.27 12998.30 50
test_prior393.60 5493.53 5593.82 6797.29 7684.49 8994.12 17996.88 6587.67 11292.63 7996.39 8086.62 4498.87 9191.50 7998.67 4198.11 72
test_prior294.12 17987.67 11292.63 7996.39 8086.62 4491.50 7998.67 41
test_yl90.69 10490.02 11292.71 10495.72 12782.41 15594.11 18195.12 19985.63 16091.49 10594.70 14474.75 18098.42 12586.13 14892.53 17397.31 109
DCV-MVSNet90.69 10490.02 11292.71 10495.72 12782.41 15594.11 18195.12 19985.63 16091.49 10594.70 14474.75 18098.42 12586.13 14892.53 17397.31 109
test_prior485.96 5994.11 181
EPNet_dtu86.49 24185.94 22888.14 28190.24 32372.82 32694.11 18192.20 28686.66 13779.42 31792.36 22873.52 20095.81 30671.26 30693.66 14995.80 169
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNLPA89.07 15387.98 16692.34 12396.87 8584.78 8194.08 18593.24 26281.41 25384.46 23895.13 12675.57 17296.62 26177.21 26793.84 14895.61 175
TEST997.53 6586.49 4194.07 18696.78 7781.61 25092.77 7496.20 8987.71 3199.12 58
train_agg93.44 5893.08 6394.52 4897.53 6586.49 4194.07 18696.78 7781.86 24392.77 7496.20 8987.63 3299.12 5892.14 5998.69 3797.94 83
CDPH-MVS92.83 7092.30 7694.44 5197.79 5486.11 5494.06 18896.66 9380.09 26992.77 7496.63 7086.62 4499.04 6687.40 13198.66 4498.17 64
VPNet88.20 17887.47 17690.39 20993.56 21979.46 23194.04 18995.54 17288.67 7686.96 17294.58 15269.33 25697.15 23484.05 17380.53 31794.56 212
Fast-Effi-MVS+-dtu87.44 20786.72 19589.63 24492.04 26077.68 27794.03 19093.94 24785.81 15382.42 27891.32 26470.33 24297.06 24180.33 23690.23 19494.14 235
test_897.49 6886.30 5094.02 19196.76 8081.86 24392.70 7896.20 8987.63 3299.02 71
OurMVSNet-221017-085.35 25884.64 25887.49 29490.77 30972.59 33194.01 19294.40 23284.72 18179.62 31693.17 20361.91 31596.72 25581.99 20481.16 30193.16 284
v2v48287.84 18687.06 18590.17 21890.99 29779.23 24394.00 19395.13 19884.87 17785.53 20692.07 24374.45 18497.45 20284.71 16681.75 29593.85 252
DeepPCF-MVS89.96 194.20 3694.77 1492.49 11696.52 9980.00 22094.00 19397.08 4790.05 3795.65 2197.29 2889.66 1398.97 8393.95 2098.71 3498.50 28
v114487.61 19986.79 19390.06 22591.01 29679.34 23693.95 19595.42 18683.36 20885.66 20191.31 26574.98 17897.42 20683.37 18082.06 28993.42 274
hse-mvs289.88 12789.34 12591.51 15994.83 16881.12 18793.94 19693.91 25189.80 4293.08 6593.60 19175.77 16597.66 18192.07 6177.07 34195.74 171
agg_prior193.29 6392.97 6794.26 5897.38 7185.92 6293.92 19796.72 8681.96 23792.16 8996.23 8687.85 2798.97 8391.95 6898.55 5497.90 87
v14419287.19 22086.35 21089.74 23990.64 31478.24 26193.92 19795.43 18481.93 23985.51 20891.05 27574.21 18997.45 20282.86 18881.56 29793.53 268
PVSNet_BlendedMVS89.98 12089.70 11590.82 19196.12 10981.25 18193.92 19796.83 7283.49 20489.10 13592.26 23281.04 11198.85 9786.72 14387.86 24092.35 310
AUN-MVS87.78 18986.54 20591.48 16194.82 16981.05 18893.91 20093.93 24883.00 21586.93 17393.53 19269.50 25397.67 18086.14 14677.12 34095.73 172
v192192086.97 22586.06 22389.69 24390.53 31978.11 26493.80 20195.43 18481.90 24185.33 22491.05 27572.66 21397.41 21182.05 20381.80 29493.53 268
v119287.25 21486.33 21190.00 23090.76 31079.04 24493.80 20195.48 17682.57 22485.48 21191.18 26973.38 20697.42 20682.30 19882.06 28993.53 268
XXY-MVS87.65 19386.85 19090.03 22692.14 25680.60 20293.76 20395.23 19482.94 21784.60 23394.02 17174.27 18695.49 31881.04 22083.68 27294.01 244
MVSTER88.84 16288.29 15890.51 20192.95 23880.44 20593.73 20495.01 20484.66 18287.15 16793.12 20672.79 21297.21 23287.86 12487.36 24693.87 249
IterMVS-LS88.36 17487.91 16989.70 24293.80 21178.29 26093.73 20495.08 20385.73 15684.75 23191.90 24879.88 12096.92 24983.83 17582.51 28593.89 246
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v14887.04 22486.32 21289.21 25390.94 30177.26 28493.71 20694.43 23084.84 17884.36 24490.80 28176.04 16297.05 24282.12 20179.60 32793.31 276
EI-MVSNet89.10 14988.86 13989.80 23891.84 26678.30 25993.70 20795.01 20485.73 15687.15 16795.28 11979.87 12197.21 23283.81 17687.36 24693.88 248
CVMVSNet84.69 27184.79 25584.37 33291.84 26664.92 36693.70 20791.47 31066.19 36086.16 19295.28 11967.18 27793.33 34580.89 22590.42 19294.88 198
v124086.78 22985.85 23089.56 24590.45 32077.79 27393.61 20995.37 18981.65 24785.43 21691.15 27171.50 22497.43 20581.47 21682.05 29193.47 272
MG-MVS91.77 8491.70 8392.00 13697.08 8280.03 21893.60 21095.18 19787.85 10690.89 11496.47 7882.06 10298.36 12785.07 15997.04 9597.62 98
Fast-Effi-MVS+89.41 14188.64 14291.71 15394.74 17080.81 19693.54 21195.10 20183.11 21286.82 17890.67 28479.74 12397.75 17880.51 23393.55 15296.57 139
OMC-MVS91.23 9490.62 9993.08 8796.27 10584.07 10293.52 21295.93 14086.95 12889.51 12996.13 9578.50 14098.35 12985.84 15292.90 16896.83 131
CANet_DTU90.26 11589.41 12392.81 9893.46 22283.01 13493.48 21394.47 22989.43 5487.76 15794.23 16470.54 24099.03 6784.97 16096.39 11296.38 143
SixPastTwentyTwo83.91 27882.90 27886.92 30890.99 29770.67 34693.48 21391.99 29585.54 16377.62 32792.11 23960.59 32596.87 25276.05 27977.75 33593.20 282
MVS_Test91.31 9391.11 9091.93 14194.37 18880.14 21193.46 21595.80 15286.46 13991.35 10993.77 18682.21 9898.09 15487.57 12994.95 13197.55 104
patch_mono-293.74 4994.32 2292.01 13397.54 6478.37 25793.40 21697.19 3888.02 9894.99 2897.21 3488.35 2198.44 12394.07 1998.09 7099.23 1
旧先验293.36 21771.25 35094.37 3297.13 23786.74 141
xiu_mvs_v1_base_debu90.64 10790.05 10992.40 11993.97 20584.46 9293.32 21895.46 17885.17 16992.25 8694.03 16870.59 23698.57 11390.97 8794.67 13394.18 232
xiu_mvs_v1_base90.64 10790.05 10992.40 11993.97 20584.46 9293.32 21895.46 17885.17 16992.25 8694.03 16870.59 23698.57 11390.97 8794.67 13394.18 232
xiu_mvs_v1_base_debi90.64 10790.05 10992.40 11993.97 20584.46 9293.32 21895.46 17885.17 16992.25 8694.03 16870.59 23698.57 11390.97 8794.67 13394.18 232
EU-MVSNet81.32 30380.95 29182.42 34188.50 34263.67 36793.32 21891.33 31264.02 36280.57 30192.83 21461.21 32292.27 35476.34 27580.38 32091.32 326
TAMVS89.21 14688.29 15891.96 13993.71 21482.62 15093.30 22294.19 24082.22 23087.78 15693.94 17678.83 13396.95 24777.70 26292.98 16796.32 144
BH-untuned88.60 16988.13 16290.01 22995.24 14778.50 25393.29 22394.15 24284.75 18084.46 23893.40 19375.76 16797.40 21377.59 26394.52 13994.12 236
无先验93.28 22496.26 11673.95 33299.05 6380.56 23196.59 138
MVS_030483.46 28181.92 28488.10 28290.63 31577.49 28193.26 22593.75 25680.04 27080.44 30387.24 33747.94 36395.55 31275.79 28088.16 23391.26 328
thres20087.21 21886.24 21690.12 22295.36 14078.53 25193.26 22592.10 29086.42 14188.00 15191.11 27369.24 26098.00 16369.58 32091.04 18893.83 253
WR-MVS88.38 17287.67 17290.52 20093.30 22680.18 20993.26 22595.96 13988.57 8085.47 21292.81 21676.12 16096.91 25081.24 21882.29 28794.47 223
MVS_111021_HR93.45 5793.31 5893.84 6696.99 8384.84 7993.24 22897.24 3388.76 7491.60 10495.85 10386.07 5298.66 10591.91 6998.16 6698.03 78
LCM-MVSNet-Re88.30 17688.32 15788.27 27694.71 17372.41 33493.15 22990.98 32287.77 10879.25 31891.96 24678.35 14295.75 30883.04 18495.62 11896.65 136
AllTest83.42 28281.39 28889.52 24795.01 15577.79 27393.12 23090.89 32577.41 30076.12 33693.34 19454.08 35197.51 19768.31 32784.27 26693.26 277
TDRefinement79.81 31577.34 31987.22 30379.24 37175.48 30693.12 23092.03 29376.45 30775.01 34291.58 25849.19 36196.44 27870.22 31569.18 35689.75 345
新几何293.11 232
jason90.80 10090.10 10792.90 9693.04 23483.53 11793.08 23394.15 24280.22 26691.41 10794.91 13276.87 15297.93 16990.28 10096.90 9897.24 113
jason: jason.
MVS_111021_LR92.47 7692.29 7792.98 9295.99 11884.43 9693.08 23396.09 12988.20 9491.12 11295.72 11081.33 10997.76 17591.74 7497.37 9096.75 133
DELS-MVS93.43 6093.25 5993.97 6295.42 13985.04 7893.06 23597.13 4390.74 2491.84 9795.09 12786.32 4899.21 5091.22 8398.45 5597.65 97
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
CDS-MVSNet89.45 13788.51 14992.29 12793.62 21783.61 11693.01 23694.68 22581.95 23887.82 15593.24 20178.69 13696.99 24580.34 23593.23 16296.28 146
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
test_040281.30 30479.17 31287.67 28993.19 22878.17 26292.98 23791.71 30175.25 32076.02 33890.31 29059.23 33396.37 28150.22 36783.63 27388.47 357
1112_ss88.42 17187.33 17991.72 15294.92 16280.98 19092.97 23894.54 22778.16 29783.82 25693.88 18178.78 13597.91 17079.45 24589.41 20796.26 147
原ACMM292.94 239
BH-RMVSNet88.37 17387.48 17591.02 18495.28 14479.45 23292.89 24093.07 26685.45 16586.91 17594.84 13970.35 24197.76 17573.97 29594.59 13795.85 165
Anonymous2024052180.44 31079.21 31084.11 33585.75 35967.89 35792.86 24193.23 26375.61 31775.59 34087.47 33450.03 35894.33 33271.14 31081.21 30090.12 343
lupinMVS90.92 9990.21 10393.03 9093.86 20883.88 10792.81 24293.86 25279.84 27291.76 10094.29 16077.92 14698.04 15990.48 9997.11 9297.17 117
EG-PatchMatch MVS82.37 29080.34 29688.46 27190.27 32279.35 23592.80 24394.33 23577.14 30473.26 35190.18 29247.47 36596.72 25570.25 31387.32 24889.30 348
PAPR90.02 11989.27 12992.29 12795.78 12580.95 19292.68 24496.22 12181.91 24086.66 18093.75 18882.23 9798.44 12379.40 24994.79 13297.48 105
DPM-MVS92.58 7491.74 8295.08 1496.19 10789.31 592.66 24596.56 10183.44 20591.68 10395.04 12886.60 4798.99 8085.60 15597.92 7896.93 128
131487.51 20486.57 20490.34 21492.42 25079.74 22692.63 24695.35 19178.35 29380.14 30791.62 25774.05 19297.15 23481.05 21993.53 15394.12 236
112190.42 11289.49 11993.20 8197.27 7884.46 9292.63 24695.51 17571.01 35291.20 11196.21 8782.92 8899.05 6380.56 23198.07 7296.10 155
MVS87.44 20786.10 22191.44 16392.61 24783.62 11592.63 24695.66 16367.26 35881.47 28892.15 23577.95 14598.22 14079.71 24295.48 12192.47 305
K. test v381.59 29880.15 30085.91 32189.89 33169.42 35392.57 24987.71 35585.56 16273.44 35089.71 30355.58 34295.52 31477.17 26869.76 35392.78 298
PVSNet_Blended90.73 10390.32 10291.98 13796.12 10981.25 18192.55 25096.83 7282.04 23589.10 13592.56 22281.04 11198.85 9786.72 14395.91 11595.84 166
TR-MVS86.78 22985.76 23589.82 23594.37 18878.41 25592.47 25192.83 27081.11 26186.36 18692.40 22668.73 26797.48 19973.75 29889.85 20293.57 267
pmmvs584.21 27482.84 28088.34 27588.95 33876.94 28892.41 25291.91 30075.63 31680.28 30491.18 26964.59 30095.57 31177.09 27083.47 27592.53 303
BH-w/o87.57 20287.05 18689.12 25694.90 16477.90 26892.41 25293.51 25982.89 21983.70 25991.34 26175.75 16897.07 24075.49 28293.49 15492.39 308
WTY-MVS89.60 13188.92 13691.67 15495.47 13881.15 18692.38 25494.78 22283.11 21289.06 13794.32 15878.67 13796.61 26481.57 21490.89 18997.24 113
diffmvs91.37 9291.23 8891.77 15193.09 23180.27 20792.36 25595.52 17487.03 12691.40 10894.93 13180.08 11897.44 20492.13 6094.56 13897.61 99
ET-MVSNet_ETH3D87.51 20485.91 22992.32 12493.70 21683.93 10592.33 25690.94 32384.16 18772.09 35492.52 22369.90 24595.85 30389.20 11088.36 23097.17 117
OpenMVS_ROBcopyleft74.94 1979.51 31777.03 32386.93 30787.00 35276.23 29992.33 25690.74 32868.93 35674.52 34588.23 32449.58 36096.62 26157.64 36284.29 26587.94 359
LTVRE_ROB82.13 1386.26 24484.90 25290.34 21494.44 18681.50 17292.31 25894.89 21283.03 21479.63 31592.67 21969.69 24997.79 17371.20 30786.26 25491.72 319
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
xiu_mvs_v2_base91.13 9790.89 9691.86 14594.97 15882.42 15392.24 25995.64 16686.11 15191.74 10293.14 20579.67 12798.89 9089.06 11295.46 12394.28 231
test22296.55 9681.70 16892.22 26095.01 20468.36 35790.20 12196.14 9480.26 11797.80 8196.05 159
ab-mvs89.41 14188.35 15492.60 11095.15 15282.65 14992.20 26195.60 16883.97 19288.55 14193.70 19074.16 19198.21 14182.46 19689.37 20896.94 127
testdata192.15 26287.94 100
CLD-MVS89.47 13688.90 13791.18 17394.22 19382.07 16092.13 26396.09 12987.90 10285.37 22292.45 22574.38 18597.56 19287.15 13690.43 19193.93 245
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVP-Stereo85.97 24784.86 25389.32 25190.92 30382.19 15892.11 26494.19 24078.76 28778.77 32091.63 25668.38 27196.56 26975.01 28993.95 14589.20 350
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
PS-MVSNAJ91.18 9690.92 9491.96 13995.26 14682.60 15192.09 26595.70 15986.27 14391.84 9792.46 22479.70 12498.99 8089.08 11195.86 11694.29 230
HY-MVS83.01 1289.03 15687.94 16892.29 12794.86 16682.77 14092.08 26694.49 22881.52 25286.93 17392.79 21878.32 14398.23 13879.93 24090.55 19095.88 164
baseline286.50 23985.39 24189.84 23491.12 29376.70 29191.88 26788.58 35182.35 22979.95 31190.95 27773.42 20497.63 18780.27 23789.95 19995.19 185
XVG-OURS-SEG-HR89.95 12389.45 12091.47 16294.00 20381.21 18491.87 26896.06 13385.78 15488.55 14195.73 10974.67 18397.27 22588.71 11589.64 20595.91 162
D2MVS85.90 24885.09 24788.35 27490.79 30877.42 28291.83 26995.70 15980.77 26480.08 30990.02 29666.74 28596.37 28181.88 20787.97 23891.26 328
Test_1112_low_res87.65 19386.51 20691.08 18094.94 16179.28 24091.77 27094.30 23676.04 31383.51 26592.37 22777.86 14897.73 17978.69 25389.13 21496.22 148
IB-MVS80.51 1585.24 26283.26 27391.19 17292.13 25779.86 22391.75 27191.29 31483.28 21080.66 29988.49 31961.28 31998.46 11980.99 22379.46 32895.25 184
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
sss88.93 16088.26 16090.94 19094.05 19880.78 19791.71 27295.38 18781.55 25188.63 14093.91 18075.04 17795.47 31982.47 19591.61 18096.57 139
XVG-ACMP-BASELINE86.00 24684.84 25489.45 25091.20 28878.00 26591.70 27395.55 17085.05 17582.97 27392.25 23354.49 34997.48 19982.93 18687.45 24592.89 294
RPSCF85.07 26484.27 26187.48 29592.91 23970.62 34791.69 27492.46 27876.20 31282.67 27795.22 12263.94 30397.29 22477.51 26585.80 25694.53 213
mvs_anonymous89.37 14489.32 12689.51 24993.47 22174.22 31491.65 27594.83 21882.91 21885.45 21393.79 18481.23 11096.36 28386.47 14594.09 14497.94 83
MIMVSNet179.38 31877.28 32085.69 32286.35 35473.67 31891.61 27692.75 27378.11 29872.64 35388.12 32548.16 36291.97 35760.32 35777.49 33791.43 325
FMVSNet581.52 30079.60 30687.27 29891.17 29077.95 26691.49 27792.26 28576.87 30576.16 33587.91 32951.67 35692.34 35367.74 33181.16 30191.52 322
Anonymous2023120681.03 30679.77 30484.82 32987.85 35170.26 34991.42 27892.08 29173.67 33477.75 32589.25 30862.43 31293.08 34861.50 35582.00 29291.12 333
testgi80.94 30880.20 29983.18 33787.96 35066.29 36191.28 27990.70 32983.70 19778.12 32292.84 21351.37 35790.82 36163.34 34982.46 28692.43 306
XVG-OURS89.40 14388.70 14091.52 15894.06 19781.46 17691.27 28096.07 13186.14 14988.89 13995.77 10768.73 26797.26 22787.39 13289.96 19895.83 167
MS-PatchMatch85.05 26584.16 26287.73 28891.42 28178.51 25291.25 28193.53 25877.50 29980.15 30691.58 25861.99 31495.51 31575.69 28194.35 14389.16 351
c3_l87.14 22286.50 20789.04 25992.20 25477.26 28491.22 28294.70 22482.01 23684.34 24590.43 28878.81 13496.61 26483.70 17881.09 30493.25 279
SCA86.32 24385.18 24589.73 24192.15 25576.60 29291.12 28391.69 30383.53 20385.50 20988.81 31366.79 28396.48 27476.65 27290.35 19396.12 152
test20.0379.95 31479.08 31382.55 34085.79 35867.74 35991.09 28491.08 31881.23 25974.48 34689.96 29961.63 31690.15 36260.08 35876.38 34289.76 344
KD-MVS_self_test80.20 31279.24 30983.07 33885.64 36065.29 36591.01 28593.93 24878.71 28976.32 33486.40 34159.20 33492.93 35072.59 30269.35 35491.00 336
miper_ehance_all_eth87.22 21786.62 20289.02 26092.13 25777.40 28390.91 28694.81 22081.28 25684.32 24690.08 29579.26 13096.62 26183.81 17682.94 28093.04 289
cl2286.78 22985.98 22589.18 25592.34 25277.62 27990.84 28794.13 24481.33 25583.97 25490.15 29373.96 19496.60 26684.19 17182.94 28093.33 275
cl____86.52 23885.78 23288.75 26492.03 26176.46 29490.74 28894.30 23681.83 24583.34 26990.78 28275.74 17096.57 26781.74 21181.54 29893.22 281
DIV-MVS_self_test86.53 23785.78 23288.75 26492.02 26276.45 29590.74 28894.30 23681.83 24583.34 26990.82 28075.75 16896.57 26781.73 21281.52 29993.24 280
thisisatest051587.33 21085.99 22491.37 16693.49 22079.55 22990.63 29089.56 34880.17 26787.56 16090.86 27867.07 27998.28 13681.50 21593.02 16696.29 145
PatchMatch-RL86.77 23285.54 23790.47 20795.88 12282.71 14690.54 29192.31 28379.82 27384.32 24691.57 26068.77 26696.39 28073.16 30093.48 15692.32 311
eth_miper_zixun_eth86.50 23985.77 23488.68 26791.94 26375.81 30390.47 29294.89 21282.05 23384.05 25190.46 28775.96 16396.77 25482.76 19279.36 32993.46 273
GA-MVS86.61 23485.27 24490.66 19491.33 28678.71 24790.40 29393.81 25585.34 16785.12 22689.57 30561.25 32097.11 23880.99 22389.59 20696.15 149
pmmvs485.43 25683.86 26790.16 21990.02 32882.97 13690.27 29492.67 27575.93 31480.73 29791.74 25271.05 22895.73 30978.85 25283.46 27691.78 318
CL-MVSNet_self_test81.74 29580.53 29385.36 32485.96 35772.45 33390.25 29593.07 26681.24 25879.85 31387.29 33670.93 23192.52 35266.95 33469.23 35591.11 334
test0.0.03 182.41 28981.69 28584.59 33088.23 34672.89 32590.24 29687.83 35483.41 20679.86 31289.78 30267.25 27588.99 36565.18 34383.42 27791.90 317
cascas86.43 24284.98 24990.80 19292.10 25980.92 19390.24 29695.91 14373.10 33983.57 26488.39 32065.15 29797.46 20184.90 16391.43 18194.03 243
miper_enhance_ethall86.90 22686.18 21789.06 25891.66 27577.58 28090.22 29894.82 21979.16 28084.48 23789.10 30979.19 13196.66 25884.06 17282.94 28092.94 292
IterMVS-SCA-FT85.45 25584.53 26088.18 28091.71 27276.87 28990.19 29992.65 27685.40 16681.44 28990.54 28566.79 28395.00 32781.04 22081.05 30592.66 300
IterMVS84.88 26783.98 26687.60 29091.44 27876.03 30090.18 30092.41 27983.24 21181.06 29590.42 28966.60 28694.28 33479.46 24480.98 31092.48 304
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
pmmvs-eth3d80.97 30778.72 31687.74 28784.99 36379.97 22190.11 30191.65 30475.36 31873.51 34986.03 34359.45 33293.96 33975.17 28672.21 35089.29 349
CHOSEN 1792x268888.84 16287.69 17192.30 12696.14 10881.42 17890.01 30295.86 14874.52 32887.41 16293.94 17675.46 17398.36 12780.36 23495.53 11997.12 120
HyFIR lowres test88.09 18186.81 19191.93 14196.00 11780.63 20090.01 30295.79 15373.42 33687.68 15892.10 24073.86 19697.96 16680.75 22791.70 17997.19 116
CMPMVSbinary59.16 2180.52 30979.20 31184.48 33183.98 36467.63 36089.95 30493.84 25464.79 36166.81 36291.14 27257.93 33895.17 32276.25 27688.10 23490.65 337
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PAPM86.68 23385.39 24190.53 19893.05 23379.33 23989.79 30594.77 22378.82 28581.95 28593.24 20176.81 15397.30 22166.94 33593.16 16394.95 196
test-LLR85.87 24985.41 24087.25 30090.95 29971.67 33789.55 30689.88 34383.41 20684.54 23587.95 32767.25 27595.11 32481.82 20893.37 15994.97 190
TESTMET0.1,183.74 28082.85 27986.42 31589.96 32971.21 34189.55 30687.88 35377.41 30083.37 26887.31 33556.71 34093.65 34280.62 23092.85 17094.40 226
test-mter84.54 27283.64 27087.25 30090.95 29971.67 33789.55 30689.88 34379.17 27984.54 23587.95 32755.56 34395.11 32481.82 20893.37 15994.97 190
TinyColmap79.76 31677.69 31885.97 31891.71 27273.12 32389.55 30690.36 33275.03 32272.03 35590.19 29146.22 36696.19 29063.11 35081.03 30688.59 356
CostFormer85.77 25284.94 25188.26 27791.16 29272.58 33289.47 31091.04 32176.26 31186.45 18489.97 29870.74 23496.86 25382.35 19787.07 25195.34 183
LF4IMVS80.37 31179.07 31484.27 33486.64 35369.87 35289.39 31191.05 32076.38 30874.97 34390.00 29747.85 36494.25 33574.55 29380.82 31288.69 355
USDC82.76 28581.26 29087.26 29991.17 29074.55 31089.27 31293.39 26178.26 29575.30 34192.08 24154.43 35096.63 26071.64 30585.79 25790.61 338
PCF-MVS84.11 1087.74 19086.08 22292.70 10694.02 19984.43 9689.27 31295.87 14773.62 33584.43 24094.33 15778.48 14198.86 9470.27 31294.45 14194.81 201
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
tpm284.08 27582.94 27787.48 29591.39 28271.27 33989.23 31490.37 33171.95 34784.64 23289.33 30767.30 27496.55 27175.17 28687.09 25094.63 206
MSDG84.86 26883.09 27590.14 22193.80 21180.05 21689.18 31593.09 26578.89 28378.19 32191.91 24765.86 29597.27 22568.47 32588.45 22793.11 286
EGC-MVSNET61.97 33556.37 33978.77 34589.63 33473.50 32089.12 31682.79 3660.21 3811.24 38284.80 34939.48 36990.04 36344.13 36975.94 34472.79 368
tpm84.73 26984.02 26486.87 31190.33 32168.90 35489.06 31789.94 34080.85 26385.75 19789.86 30068.54 26995.97 29777.76 26184.05 26895.75 170
ppachtmachnet_test81.84 29380.07 30187.15 30588.46 34374.43 31389.04 31892.16 28775.33 31977.75 32588.99 31066.20 29195.37 32065.12 34477.60 33691.65 320
PM-MVS78.11 32476.12 32684.09 33683.54 36670.08 35088.97 31985.27 36179.93 27174.73 34486.43 34034.70 37193.48 34379.43 24772.06 35188.72 354
MDA-MVSNet-bldmvs78.85 32176.31 32486.46 31389.76 33273.88 31788.79 32090.42 33079.16 28059.18 36688.33 32260.20 32794.04 33662.00 35368.96 35791.48 324
tpmrst85.35 25884.99 24886.43 31490.88 30667.88 35888.71 32191.43 31180.13 26886.08 19488.80 31573.05 20896.02 29582.48 19483.40 27895.40 180
PMMVS85.71 25384.96 25087.95 28588.90 33977.09 28688.68 32290.06 33772.32 34586.47 18190.76 28372.15 21994.40 33081.78 21093.49 15492.36 309
EPMVS83.90 27982.70 28187.51 29290.23 32472.67 32888.62 32381.96 36981.37 25485.01 22888.34 32166.31 29094.45 32975.30 28587.12 24995.43 179
PatchmatchNetpermissive85.85 25084.70 25689.29 25291.76 26975.54 30588.49 32491.30 31381.63 24985.05 22788.70 31771.71 22096.24 28774.61 29289.05 21596.08 156
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
our_test_381.93 29280.46 29586.33 31688.46 34373.48 32188.46 32591.11 31776.46 30676.69 33288.25 32366.89 28194.36 33168.75 32379.08 33191.14 332
UnsupCasMVSNet_eth80.07 31378.27 31785.46 32385.24 36272.63 33088.45 32694.87 21482.99 21671.64 35788.07 32656.34 34191.75 35873.48 29963.36 36492.01 316
tpmvs83.35 28482.07 28287.20 30491.07 29571.00 34488.31 32791.70 30278.91 28280.49 30287.18 33869.30 25997.08 23968.12 33083.56 27493.51 271
N_pmnet68.89 33268.44 33570.23 35189.07 33728.79 38388.06 32819.50 38469.47 35571.86 35684.93 34861.24 32191.75 35854.70 36477.15 33990.15 342
test_post188.00 3299.81 37869.31 25895.53 31376.65 272
GG-mvs-BLEND87.94 28689.73 33377.91 26787.80 33078.23 37580.58 30083.86 35159.88 33095.33 32171.20 30792.22 17790.60 340
DSMNet-mixed76.94 32676.29 32578.89 34483.10 36756.11 37487.78 33179.77 37260.65 36475.64 33988.71 31661.56 31788.34 36660.07 35989.29 21192.21 314
MDTV_nov1_ep1383.56 27191.69 27469.93 35187.75 33291.54 30778.60 29084.86 23088.90 31269.54 25296.03 29470.25 31388.93 218
miper_lstm_enhance85.27 26184.59 25987.31 29791.28 28774.63 30987.69 33394.09 24681.20 26081.36 29189.85 30174.97 17994.30 33381.03 22279.84 32693.01 290
new-patchmatchnet76.41 32775.17 32980.13 34382.65 36959.61 36987.66 33491.08 31878.23 29669.85 35883.22 35454.76 34791.63 36064.14 34864.89 36289.16 351
MDTV_nov1_ep13_2view55.91 37587.62 33573.32 33784.59 23470.33 24274.65 29195.50 176
tpm cat181.96 29180.27 29787.01 30691.09 29471.02 34387.38 33691.53 30866.25 35980.17 30586.35 34268.22 27296.15 29169.16 32182.29 28793.86 251
PVSNet78.82 1885.55 25484.65 25788.23 27994.72 17271.93 33587.12 33792.75 27378.80 28684.95 22990.53 28664.43 30196.71 25774.74 29093.86 14796.06 158
pmmvs371.81 33168.71 33481.11 34275.86 37270.42 34886.74 33883.66 36558.95 36568.64 36180.89 35936.93 37089.52 36463.10 35163.59 36383.39 361
dp81.47 30180.23 29885.17 32789.92 33065.49 36486.74 33890.10 33676.30 31081.10 29387.12 33962.81 31095.92 29968.13 32979.88 32494.09 239
MIMVSNet82.59 28880.53 29388.76 26391.51 27778.32 25886.57 34090.13 33579.32 27680.70 29888.69 31852.98 35593.07 34966.03 34088.86 21994.90 197
gg-mvs-nofinetune81.77 29479.37 30788.99 26190.85 30777.73 27686.29 34179.63 37374.88 32683.19 27269.05 36760.34 32696.11 29275.46 28394.64 13693.11 286
testmvs8.92 34711.52 3501.12 3631.06 3850.46 38786.02 3420.65 3860.62 3792.74 3809.52 3790.31 3860.45 3822.38 3790.39 3792.46 378
YYNet179.22 31977.20 32185.28 32688.20 34872.66 32985.87 34390.05 33974.33 33062.70 36487.61 33266.09 29392.03 35566.94 33572.97 34891.15 331
MDA-MVSNet_test_wron79.21 32077.19 32285.29 32588.22 34772.77 32785.87 34390.06 33774.34 32962.62 36587.56 33366.14 29291.99 35666.90 33873.01 34791.10 335
test1238.76 34811.22 3511.39 3620.85 3860.97 38685.76 3450.35 3870.54 3802.45 3818.14 3800.60 3850.48 3812.16 3800.17 3802.71 377
UnsupCasMVSNet_bld76.23 32873.27 33185.09 32883.79 36572.92 32485.65 34693.47 26071.52 34868.84 36079.08 36149.77 35993.21 34666.81 33960.52 36689.13 353
CR-MVSNet85.35 25883.76 26890.12 22290.58 31679.34 23685.24 34791.96 29878.27 29485.55 20387.87 33071.03 22995.61 31073.96 29689.36 20995.40 180
RPMNet83.95 27781.53 28791.21 17190.58 31679.34 23685.24 34796.76 8071.44 34985.55 20382.97 35670.87 23298.91 8961.01 35689.36 20995.40 180
KD-MVS_2432*160078.50 32276.02 32785.93 31986.22 35574.47 31184.80 34992.33 28179.29 27776.98 33085.92 34453.81 35393.97 33767.39 33257.42 36789.36 346
miper_refine_blended78.50 32276.02 32785.93 31986.22 35574.47 31184.80 34992.33 28179.29 27776.98 33085.92 34453.81 35393.97 33767.39 33257.42 36789.36 346
Patchmtry82.71 28680.93 29288.06 28390.05 32776.37 29784.74 35191.96 29872.28 34681.32 29287.87 33071.03 22995.50 31768.97 32280.15 32192.32 311
FPMVS64.63 33462.55 33670.88 35070.80 37456.71 37184.42 35284.42 36351.78 36849.57 36881.61 35823.49 37581.48 37140.61 37276.25 34374.46 367
PatchT82.68 28781.27 28986.89 31090.09 32670.94 34584.06 35390.15 33474.91 32485.63 20283.57 35369.37 25494.87 32865.19 34288.50 22594.84 199
new_pmnet72.15 33070.13 33378.20 34682.95 36865.68 36283.91 35482.40 36862.94 36364.47 36379.82 36042.85 36886.26 36857.41 36374.44 34682.65 364
LCM-MVSNet66.00 33362.16 33777.51 34864.51 37858.29 37083.87 35590.90 32448.17 36954.69 36773.31 36516.83 38186.75 36765.47 34161.67 36587.48 360
ADS-MVSNet281.66 29779.71 30587.50 29391.35 28474.19 31583.33 35688.48 35272.90 34182.24 28185.77 34664.98 29893.20 34764.57 34683.74 27095.12 186
ADS-MVSNet81.56 29979.78 30386.90 30991.35 28471.82 33683.33 35689.16 34972.90 34182.24 28185.77 34664.98 29893.76 34064.57 34683.74 27095.12 186
PVSNet_073.20 2077.22 32574.83 33084.37 33290.70 31371.10 34283.09 35889.67 34672.81 34373.93 34883.13 35560.79 32493.70 34168.54 32450.84 37088.30 358
MVS-HIRNet73.70 32972.20 33278.18 34791.81 26856.42 37382.94 35982.58 36755.24 36668.88 35966.48 36855.32 34595.13 32358.12 36188.42 22883.01 362
Patchmatch-RL test81.67 29679.96 30286.81 31285.42 36171.23 34082.17 36087.50 35778.47 29177.19 32982.50 35770.81 23393.48 34382.66 19372.89 34995.71 173
JIA-IIPM81.04 30578.98 31587.25 30088.64 34073.48 32181.75 36189.61 34773.19 33882.05 28373.71 36466.07 29495.87 30271.18 30984.60 26492.41 307
Patchmatch-test81.37 30279.30 30887.58 29190.92 30374.16 31680.99 36287.68 35670.52 35376.63 33388.81 31371.21 22692.76 35160.01 36086.93 25295.83 167
ANet_high58.88 33754.22 34172.86 34956.50 38156.67 37280.75 36386.00 35873.09 34037.39 37364.63 37022.17 37679.49 37343.51 37023.96 37582.43 365
CHOSEN 280x42085.15 26383.99 26588.65 26892.47 24878.40 25679.68 36492.76 27274.90 32581.41 29089.59 30469.85 24895.51 31579.92 24195.29 12792.03 315
ambc83.06 33979.99 37063.51 36877.47 36592.86 26974.34 34784.45 35028.74 37295.06 32673.06 30168.89 35890.61 338
EMVS42.07 34341.12 34544.92 35963.45 37935.56 38273.65 36663.48 37933.05 37426.88 37845.45 37521.27 37767.14 37619.80 37723.02 37632.06 374
E-PMN43.23 34242.29 34446.03 35865.58 37737.41 38073.51 36764.62 37833.99 37328.47 37747.87 37419.90 37967.91 37522.23 37624.45 37432.77 373
PMVScopyleft47.18 2252.22 33948.46 34363.48 35445.72 38346.20 37973.41 36878.31 37441.03 37230.06 37565.68 3696.05 38283.43 37030.04 37465.86 36060.80 369
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS259.60 33656.40 33869.21 35268.83 37546.58 37873.02 36977.48 37655.07 36749.21 36972.95 36617.43 38080.04 37249.32 36844.33 37280.99 366
tmp_tt35.64 34439.24 34624.84 36014.87 38423.90 38462.71 37051.51 3836.58 37836.66 37462.08 37144.37 36730.34 38052.40 36622.00 37720.27 375
MVEpermissive39.65 2343.39 34138.59 34757.77 35556.52 38048.77 37755.38 37158.64 38129.33 37528.96 37652.65 3724.68 38364.62 37728.11 37533.07 37359.93 370
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
Gipumacopyleft57.99 33854.91 34067.24 35388.51 34165.59 36352.21 37290.33 33343.58 37142.84 37251.18 37320.29 37885.07 36934.77 37370.45 35251.05 372
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
wuyk23d21.27 34620.48 34923.63 36168.59 37636.41 38149.57 3736.85 3859.37 3777.89 3794.46 3814.03 38431.37 37917.47 37816.07 3783.12 376
test_method50.52 34048.47 34256.66 35652.26 38218.98 38541.51 37481.40 37010.10 37644.59 37175.01 36328.51 37368.16 37453.54 36549.31 37182.83 363
test_blank0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3810.00 379
uanet_test0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3810.00 379
DCPMVS0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3810.00 379
cdsmvs_eth3d_5k22.14 34529.52 3480.00 3640.00 3870.00 3880.00 37595.76 1550.00 3820.00 38394.29 16075.66 1710.00 3830.00 3810.00 3810.00 379
pcd_1.5k_mvsjas6.64 3508.86 3530.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 38279.70 1240.00 3830.00 3810.00 3810.00 379
sosnet-low-res0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3810.00 379
sosnet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3810.00 379
uncertanet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3810.00 379
Regformer0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3810.00 379
ab-mvs-re7.82 34910.43 3520.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 38393.88 1810.00 3870.00 3830.00 3810.00 3810.00 379
uanet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3810.00 379
MSC_two_6792asdad96.52 197.78 5790.86 196.85 6899.61 396.03 199.06 999.07 5
PC_three_145282.47 22597.09 997.07 4592.72 198.04 15992.70 4699.02 1298.86 10
No_MVS96.52 197.78 5790.86 196.85 6899.61 396.03 199.06 999.07 5
test_one_060198.58 1285.83 6697.44 1491.05 1796.78 1398.06 691.45 11
eth-test20.00 387
eth-test0.00 387
ZD-MVS98.15 3786.62 3797.07 4883.63 19994.19 3696.91 5287.57 3499.26 4691.99 6498.44 56
IU-MVS98.77 586.00 5596.84 7081.26 25797.26 795.50 1099.13 399.03 7
test_241102_TWO97.44 1490.31 3197.62 598.07 491.46 1099.58 895.66 499.12 698.98 9
test_241102_ONE98.77 585.99 5797.44 1490.26 3597.71 197.96 1092.31 499.38 32
test_0728_THIRD90.75 2297.04 1098.05 892.09 699.55 1595.64 699.13 399.13 2
GSMVS96.12 152
test_part298.55 1387.22 1896.40 14
sam_mvs171.70 22196.12 152
sam_mvs70.60 235
MTGPAbinary96.97 53
test_post10.29 37770.57 23995.91 301
patchmatchnet-post83.76 35271.53 22396.48 274
gm-plane-assit89.60 33568.00 35677.28 30388.99 31097.57 19179.44 246
test9_res91.91 6998.71 3498.07 74
agg_prior290.54 9798.68 3998.27 56
agg_prior97.38 7185.92 6296.72 8692.16 8998.97 83
TestCases89.52 24795.01 15577.79 27390.89 32577.41 30076.12 33693.34 19454.08 35197.51 19768.31 32784.27 26693.26 277
test_prior93.82 6797.29 7684.49 8996.88 6598.87 9198.11 72
新几何193.10 8697.30 7584.35 9895.56 16971.09 35191.26 11096.24 8582.87 8998.86 9479.19 25098.10 6996.07 157
旧先验196.79 8781.81 16695.67 16196.81 5886.69 4397.66 8596.97 126
原ACMM192.01 13397.34 7381.05 18896.81 7578.89 28390.45 11795.92 10082.65 9098.84 9980.68 22998.26 6496.14 150
testdata298.75 10378.30 256
segment_acmp87.16 40
testdata90.49 20296.40 10177.89 26995.37 18972.51 34493.63 5196.69 6382.08 10197.65 18383.08 18397.39 8995.94 161
test1294.34 5697.13 8186.15 5396.29 11391.04 11385.08 6499.01 7398.13 6897.86 90
plane_prior794.70 17482.74 143
plane_prior694.52 18082.75 14174.23 187
plane_prior596.22 12198.12 14488.15 12089.99 19694.63 206
plane_prior494.86 135
plane_prior382.75 14190.26 3586.91 175
plane_prior194.59 178
n20.00 388
nn0.00 388
door-mid85.49 359
lessismore_v086.04 31788.46 34368.78 35580.59 37173.01 35290.11 29455.39 34496.43 27975.06 28865.06 36192.90 293
LGP-MVS_train91.12 17594.47 18281.49 17496.14 12686.73 13485.45 21395.16 12469.89 24698.10 14687.70 12789.23 21293.77 258
test1196.57 100
door85.33 360
HQP5-MVS81.56 170
BP-MVS87.11 138
HQP4-MVS85.43 21697.96 16694.51 215
HQP3-MVS96.04 13589.77 203
HQP2-MVS73.83 197
NP-MVS94.37 18882.42 15393.98 174
ACMMP++_ref87.47 243
ACMMP++88.01 237
Test By Simon80.02 119
ITE_SJBPF88.24 27891.88 26577.05 28792.92 26885.54 16380.13 30893.30 19857.29 33996.20 28872.46 30384.71 26391.49 323
DeepMVS_CXcopyleft56.31 35774.23 37351.81 37656.67 38244.85 37048.54 37075.16 36227.87 37458.74 37840.92 37152.22 36958.39 371