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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort by
LCM-MVSNet95.70 196.40 193.61 298.67 185.39 3495.54 597.36 196.97 199.04 199.05 196.61 195.92 1485.07 5399.27 199.54 1
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11493.91 4580.07 9086.75 16493.26 11193.64 290.93 20384.60 6090.75 26193.97 101
abl_693.02 493.16 492.60 494.73 4488.99 793.26 1294.19 3089.11 1294.43 1695.27 3891.86 395.09 6487.54 1898.02 4093.71 115
ACMH+77.89 1190.73 3091.50 2388.44 8393.00 8276.26 12389.65 6895.55 787.72 2393.89 2794.94 4691.62 493.44 13078.35 12798.76 495.61 48
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 5794.27 2382.35 6393.67 3494.82 5091.18 595.52 4385.36 5198.73 795.23 59
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 5091.18 595.52 4385.36 5198.73 795.23 59
PMVScopyleft80.48 690.08 4190.66 4788.34 8696.71 392.97 190.31 5389.57 18288.51 1990.11 9595.12 4390.98 788.92 25177.55 14197.07 8783.13 318
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMM79.39 990.65 3190.99 4089.63 5795.03 3583.53 4989.62 6993.35 6679.20 10193.83 2893.60 10890.81 892.96 14785.02 5598.45 1992.41 165
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMH76.49 1489.34 6091.14 3483.96 16592.50 9670.36 17489.55 7093.84 5081.89 6994.70 1395.44 3590.69 988.31 26183.33 7298.30 2693.20 133
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
HPM-MVS_fast92.50 592.54 692.37 695.93 1685.81 3292.99 1394.23 2685.21 3492.51 5695.13 4290.65 1095.34 5488.06 998.15 3595.95 41
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6590.64 1187.16 2897.60 6792.73 150
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 7994.05 4079.03 10492.87 4793.74 10590.60 1295.21 6182.87 7798.76 494.87 67
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
HPM-MVScopyleft92.13 992.20 1191.91 1795.58 2684.67 4393.51 894.85 1682.88 5791.77 7093.94 9890.55 1395.73 3088.50 798.23 2995.33 54
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
UniMVSNet_ETH3D89.12 6490.72 4684.31 15797.00 264.33 22289.67 6788.38 19888.84 1594.29 1997.57 390.48 1491.26 19372.57 19597.65 6397.34 15
SED-MVS90.46 3791.64 1986.93 10294.18 5072.65 14290.47 5093.69 5483.77 4494.11 2394.27 7390.28 1595.84 2286.03 4597.92 4892.29 173
test_241102_ONE94.18 5072.65 14293.69 5483.62 4694.11 2393.78 10490.28 1595.50 48
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4294.02 8990.15 1795.67 3386.82 3297.34 8092.19 179
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8185.17 3692.47 2695.05 1587.65 2493.21 4394.39 7190.09 1895.08 6586.67 3497.60 6794.18 93
DVP-MVScopyleft90.06 4391.32 3086.29 11594.16 5372.56 14890.54 4791.01 14283.61 4793.75 3194.65 5589.76 1995.78 2786.42 3597.97 4590.55 222
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
test072694.16 5372.56 14890.63 4693.90 4683.61 4793.75 3194.49 6289.76 19
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6786.15 2393.37 1095.10 1490.28 992.11 6295.03 4489.75 2194.93 6979.95 10998.27 2795.04 64
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
test_241102_TWO93.71 5383.77 4493.49 3894.27 7389.27 2295.84 2286.03 4597.82 5492.04 182
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 5994.14 8489.15 2395.62 3587.35 2398.24 2894.56 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
test117292.40 792.41 792.37 694.68 4589.04 691.98 3193.62 5790.14 1193.63 3694.16 8388.83 2495.51 4587.11 3097.54 7392.54 160
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6588.83 2495.51 4587.16 2897.60 6792.73 150
APDe-MVS91.22 2491.92 1389.14 6792.97 8378.04 9392.84 1694.14 3583.33 5193.90 2595.73 2788.77 2696.41 187.60 1697.98 4492.98 141
test_one_060193.85 6373.27 13894.11 3786.57 2793.47 4094.64 5888.42 27
ACMMP_NAP90.65 3191.07 3889.42 6295.93 1679.54 7989.95 6093.68 5677.65 11991.97 6794.89 4788.38 2895.45 5089.27 397.87 5293.27 130
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9694.51 2175.79 14292.94 4594.96 4588.36 2995.01 6790.70 298.40 2095.09 63
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HFP-MVS91.30 2191.39 2591.02 3395.43 2984.66 4492.58 2293.29 7381.99 6691.47 7393.96 9488.35 3095.56 3887.74 1197.74 5992.85 145
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4593.29 7377.00 12691.47 7393.96 9488.35 3095.56 3884.88 5697.74 5992.85 145
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 8194.00 9088.26 3295.71 3187.28 2698.39 2192.55 159
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3893.48 6382.82 5892.60 5593.97 9188.19 3396.29 487.61 1598.20 3294.39 86
Skip Steuart: Steuart Systems R&D Blog.
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 5793.90 4680.32 8691.74 7194.41 6888.17 3495.98 1186.37 3797.99 4293.96 102
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4896.29 1688.16 3594.17 9786.07 4498.48 1897.22 18
DPE-MVScopyleft90.53 3591.08 3688.88 6993.38 7378.65 8989.15 8094.05 4084.68 3893.90 2594.11 8688.13 3696.30 384.51 6197.81 5591.70 194
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
OPM-MVS89.80 5189.97 5289.27 6494.76 4179.86 7586.76 11892.78 9778.78 10792.51 5693.64 10788.13 3693.84 11184.83 5897.55 7094.10 98
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
pmmvs686.52 9888.06 7981.90 20592.22 10662.28 24784.66 14789.15 18883.54 4989.85 10497.32 488.08 3886.80 27870.43 21297.30 8296.62 28
mvs_tets89.78 5289.27 6391.30 2893.51 6984.79 4189.89 6290.63 15270.00 21994.55 1596.67 1187.94 3993.59 12284.27 6395.97 12995.52 49
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2894.22 2780.14 8991.29 7893.97 9187.93 4095.87 1888.65 497.96 4794.12 97
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8694.21 7887.75 4195.87 1887.60 1697.71 6193.83 107
wuyk23d75.13 26279.30 21762.63 34275.56 35175.18 12880.89 23773.10 33075.06 15294.76 1295.32 3687.73 4252.85 37134.16 37097.11 8659.85 367
mPP-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 10183.09 5491.54 7294.25 7787.67 4395.51 4587.21 2798.11 3693.12 136
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7681.99 6691.40 7594.17 8287.51 4495.87 1887.74 1197.76 5793.99 100
test_0728_THIRD85.33 3293.75 3194.65 5587.44 4595.78 2787.41 2198.21 3092.98 141
9.1489.29 6291.84 12288.80 8795.32 1175.14 15191.07 8092.89 12287.27 4693.78 11383.69 6997.55 70
PS-CasMVS90.06 4391.92 1384.47 15296.56 758.83 28789.04 8192.74 9891.40 596.12 496.06 2287.23 4795.57 3779.42 11898.74 699.00 2
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3693.74 5280.98 7991.38 7693.80 10187.20 4895.80 2487.10 3197.69 6293.93 103
PEN-MVS90.03 4591.88 1684.48 15196.57 658.88 28488.95 8293.19 7891.62 496.01 696.16 2087.02 4995.60 3678.69 12398.72 998.97 3
DTE-MVSNet89.98 4791.91 1584.21 15996.51 857.84 29288.93 8492.84 9591.92 396.16 396.23 1886.95 5095.99 1079.05 12098.57 1598.80 6
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7393.75 6477.44 10486.31 12695.27 1270.80 20892.28 6093.80 10186.89 5194.64 7885.52 4997.51 7594.30 89
SF-MVS90.27 3990.80 4588.68 7892.86 8777.09 11191.19 4295.74 581.38 7492.28 6093.80 10186.89 5194.64 7885.52 4997.51 7594.30 89
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2793.03 8782.59 6088.52 13394.37 7286.74 5395.41 5286.32 3898.21 3093.19 134
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
zzz-MVS91.27 2291.26 3391.29 2996.59 486.29 1988.94 8391.81 12184.07 4092.00 6594.40 6986.63 5495.28 5788.59 598.31 2492.30 171
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3091.81 12184.07 4092.00 6594.40 6986.63 5495.28 5788.59 598.31 2492.30 171
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9994.03 8886.57 5695.80 2487.35 2397.62 6594.20 91
X-MVStestdata85.04 12482.70 16892.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9916.05 37486.57 5695.80 2487.35 2397.62 6594.20 91
canonicalmvs85.50 11486.14 10883.58 17487.97 20867.13 19987.55 10394.32 2273.44 17088.47 13487.54 24386.45 5891.06 20075.76 16193.76 19592.54 160
TranMVSNet+NR-MVSNet87.86 8188.76 7385.18 13994.02 5864.13 22384.38 15491.29 13484.88 3792.06 6493.84 10086.45 5893.73 11473.22 18698.66 1197.69 9
test_040288.65 7189.58 5985.88 12792.55 9372.22 15684.01 16089.44 18488.63 1894.38 1895.77 2686.38 6093.59 12279.84 11095.21 15791.82 191
APD-MVScopyleft89.54 5689.63 5789.26 6592.57 9281.34 6690.19 5593.08 8380.87 8191.13 7993.19 11286.22 6195.97 1282.23 8597.18 8590.45 224
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
SD-MVS88.96 6789.88 5386.22 11891.63 12677.07 11289.82 6393.77 5178.90 10592.88 4692.29 14386.11 6290.22 22586.24 4297.24 8391.36 202
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
ZD-MVS92.22 10680.48 7091.85 11871.22 20590.38 9192.98 11786.06 6396.11 681.99 8796.75 98
jajsoiax89.41 5888.81 7291.19 3293.38 7384.72 4289.70 6490.29 16669.27 22394.39 1796.38 1586.02 6493.52 12683.96 6595.92 13495.34 53
nrg03087.85 8288.49 7485.91 12590.07 17269.73 17787.86 10094.20 2874.04 16292.70 5494.66 5485.88 6591.50 18479.72 11297.32 8196.50 31
SMA-MVScopyleft90.31 3890.48 4989.83 5395.31 3179.52 8090.98 4393.24 7775.37 14992.84 4995.28 3785.58 6696.09 787.92 1097.76 5793.88 105
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
DeepC-MVS82.31 489.15 6389.08 6589.37 6393.64 6879.07 8488.54 9294.20 2873.53 16889.71 10894.82 5085.09 6795.77 2984.17 6498.03 3993.26 131
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
testtj89.51 5789.48 6089.59 5992.26 10380.80 6990.14 5693.54 6183.37 5090.57 9092.55 13484.99 6896.15 581.26 9396.61 10291.83 190
GeoE85.45 11685.81 11484.37 15390.08 17067.07 20085.86 13291.39 13272.33 19187.59 14790.25 19984.85 6992.37 16278.00 13591.94 23893.66 117
LTVRE_ROB86.10 193.04 393.44 291.82 2393.73 6685.72 3396.79 195.51 888.86 1495.63 896.99 884.81 7093.16 14091.10 197.53 7496.58 30
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
DP-MVS88.60 7289.01 6687.36 9891.30 14077.50 10287.55 10392.97 9087.95 2289.62 11292.87 12384.56 7193.89 10877.65 13996.62 10190.70 216
LS3D90.60 3390.34 5091.38 2789.03 18884.23 4793.58 694.68 1990.65 790.33 9393.95 9784.50 7295.37 5380.87 9995.50 14894.53 80
ETH3D-3000-0.188.85 6988.96 6988.52 7991.94 11677.27 11088.71 8995.26 1376.08 13390.66 8992.69 12984.48 7393.83 11283.38 7197.48 7794.47 81
DROMVSNet88.01 7888.32 7787.09 10089.28 18372.03 15890.31 5396.31 380.88 8085.12 19589.67 21184.47 7495.46 4982.56 8096.26 11993.77 113
anonymousdsp89.73 5388.88 7092.27 989.82 17686.67 1790.51 4990.20 16969.87 22095.06 1196.14 2184.28 7593.07 14587.68 1396.34 11497.09 20
OMC-MVS88.19 7587.52 8690.19 4991.94 11681.68 6387.49 10593.17 7976.02 13688.64 13091.22 16884.24 7693.37 13377.97 13797.03 8895.52 49
CS-MVS88.14 7687.67 8489.54 6189.56 17879.18 8390.47 5094.77 1879.37 9984.32 21089.33 21583.87 7794.53 8582.45 8194.89 17194.90 65
ETH3D cwj APD-0.1687.83 8387.62 8588.47 8191.21 14378.20 9187.26 10794.54 2072.05 19688.89 12492.31 14283.86 7894.24 9181.59 9296.87 9292.97 144
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 12993.60 6080.16 8889.13 12393.44 10983.82 7990.98 20183.86 6795.30 15693.60 122
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7493.98 4279.68 9392.09 6393.89 9983.80 8093.10 14482.67 7998.04 3793.64 120
CDPH-MVS86.17 10685.54 12088.05 9192.25 10475.45 12683.85 16692.01 11365.91 25686.19 17691.75 15883.77 8194.98 6877.43 14496.71 9993.73 114
Effi-MVS+83.90 15484.01 15183.57 17587.22 22465.61 21286.55 12392.40 10478.64 11081.34 26084.18 29783.65 8292.93 14974.22 17287.87 29392.17 180
MVS_111021_HR84.63 13084.34 14785.49 13690.18 16975.86 12579.23 26187.13 21873.35 17185.56 19089.34 21483.60 8390.50 21876.64 15194.05 19190.09 232
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9688.22 2088.53 13297.64 283.45 8494.55 8486.02 4798.60 1396.67 27
AdaColmapbinary83.66 15783.69 15683.57 17590.05 17372.26 15586.29 12890.00 17478.19 11581.65 25487.16 25183.40 8594.24 9161.69 27894.76 17784.21 300
LCM-MVSNet-Re83.48 16185.06 12778.75 25385.94 25255.75 30880.05 24594.27 2376.47 12996.09 594.54 6083.31 8689.75 24159.95 29094.89 17190.75 214
Regformer-286.74 9586.08 10988.73 7484.18 27779.20 8283.52 17689.33 18683.33 5189.92 10385.07 28683.23 8793.16 14083.39 7092.72 22193.83 107
TransMVSNet (Re)84.02 15085.74 11678.85 25191.00 15155.20 31382.29 21487.26 21479.65 9488.38 13795.52 3483.00 8886.88 27667.97 23596.60 10394.45 84
CNVR-MVS87.81 8487.68 8388.21 8892.87 8577.30 10985.25 13991.23 13677.31 12387.07 15791.47 16482.94 8994.71 7584.67 5996.27 11892.62 157
DeepPCF-MVS81.24 587.28 8786.21 10790.49 4391.48 13784.90 3983.41 18192.38 10670.25 21689.35 12090.68 18982.85 9094.57 8279.55 11495.95 13192.00 184
v7n90.13 4090.96 4187.65 9591.95 11471.06 16989.99 5993.05 8486.53 2894.29 1996.27 1782.69 9194.08 10186.25 4197.63 6497.82 8
AllTest87.97 8087.40 8989.68 5591.59 12783.40 5089.50 7395.44 979.47 9588.00 14293.03 11582.66 9291.47 18570.81 20496.14 12394.16 94
TestCases89.68 5591.59 12783.40 5095.44 979.47 9588.00 14293.03 11582.66 9291.47 18570.81 20496.14 12394.16 94
RPSCF88.00 7986.93 9691.22 3190.08 17089.30 589.68 6691.11 13979.26 10089.68 10994.81 5382.44 9487.74 26576.54 15288.74 28396.61 29
CS-MVS-test87.00 9086.43 10288.71 7689.46 17977.46 10389.42 7795.73 677.87 11781.64 25587.25 24982.43 9594.53 8577.65 13996.46 10994.14 96
ITE_SJBPF90.11 5090.72 15884.97 3890.30 16381.56 7290.02 9891.20 17082.40 9690.81 20973.58 18294.66 17894.56 77
Fast-Effi-MVS+81.04 19480.57 19782.46 20087.50 21963.22 23278.37 27289.63 18068.01 23781.87 24882.08 32082.31 9792.65 15667.10 23888.30 28991.51 200
baseline85.20 11985.93 11183.02 18486.30 24462.37 24584.55 14993.96 4374.48 15987.12 15392.03 14882.30 9891.94 17478.39 12594.21 18794.74 74
casdiffmvs85.21 11885.85 11383.31 17986.17 24962.77 23883.03 19293.93 4474.69 15688.21 14092.68 13082.29 9991.89 17777.87 13893.75 19795.27 57
Anonymous2023121188.40 7389.62 5884.73 14790.46 16465.27 21388.86 8593.02 8887.15 2593.05 4497.10 682.28 10092.02 17376.70 15097.99 4296.88 24
Regformer-186.00 10785.50 12187.49 9684.18 27776.90 11483.52 17687.94 20882.18 6589.19 12185.07 28682.28 10091.89 17782.40 8392.72 22193.69 116
Anonymous2024052986.20 10587.13 9083.42 17790.19 16864.55 22084.55 14990.71 14985.85 3189.94 10295.24 4082.13 10290.40 22069.19 22396.40 11295.31 55
agg_prior185.72 11285.20 12587.28 9991.58 13077.69 9983.69 17290.30 16366.29 25384.32 21091.07 17582.13 10293.18 13881.02 9696.36 11390.98 207
Regformer-486.41 9985.71 11788.52 7984.27 27377.57 10184.07 15788.00 20682.82 5889.84 10585.48 27482.06 10492.77 15383.83 6891.04 25095.22 61
CLD-MVS83.18 16782.64 17084.79 14589.05 18767.82 19777.93 27692.52 10268.33 23485.07 19681.54 32582.06 10492.96 14769.35 21997.91 5093.57 123
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
TEST992.34 10079.70 7783.94 16290.32 16065.41 26784.49 20690.97 17882.03 10693.63 118
segment_acmp81.94 107
train_agg85.98 10985.28 12488.07 9092.34 10079.70 7783.94 16290.32 16065.79 25784.49 20690.97 17881.93 10893.63 11881.21 9496.54 10590.88 211
test_892.09 11078.87 8683.82 16790.31 16265.79 25784.36 20990.96 18081.93 10893.44 130
test_prior386.31 10186.31 10486.32 11390.59 16171.99 15983.37 18292.85 9375.43 14684.58 20491.57 16081.92 11094.17 9779.54 11596.97 8992.80 147
test_prior283.37 18275.43 14684.58 20491.57 16081.92 11079.54 11596.97 89
EGC-MVSNET74.79 26969.99 30389.19 6694.89 3987.00 1491.89 3586.28 2311.09 3752.23 37795.98 2481.87 11289.48 24279.76 11195.96 13091.10 205
CP-MVSNet89.27 6190.91 4384.37 15396.34 958.61 28988.66 9192.06 11290.78 695.67 795.17 4181.80 11395.54 4279.00 12198.69 1098.95 4
MVS_111021_LR84.28 14183.76 15585.83 12989.23 18583.07 5380.99 23683.56 26272.71 18486.07 18089.07 22181.75 11486.19 28877.11 14793.36 20288.24 255
test_djsdf89.62 5489.01 6691.45 2592.36 9982.98 5591.98 3190.08 17271.54 20094.28 2196.54 1381.57 11594.27 8886.26 3996.49 10797.09 20
cdsmvs_eth3d_5k20.81 34227.75 3450.00 3610.00 3840.00 3850.00 37285.44 2410.00 3790.00 38082.82 31381.46 1160.00 3800.00 3780.00 3780.00 376
WR-MVS_H89.91 5091.31 3185.71 13196.32 1062.39 24489.54 7293.31 7090.21 1095.57 995.66 3081.42 11795.90 1580.94 9898.80 398.84 5
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 2992.30 10779.74 9287.50 14992.38 13881.42 11793.28 13583.07 7497.24 8391.67 195
pm-mvs183.69 15684.95 13079.91 23890.04 17459.66 27482.43 21087.44 21175.52 14587.85 14495.26 3981.25 11985.65 29568.74 22896.04 12694.42 85
DVP-MVS++90.07 4291.09 3587.00 10191.55 13372.64 14496.19 294.10 3885.33 3293.49 3894.64 5881.12 12095.88 1687.41 2195.94 13292.48 162
OPU-MVS88.27 8791.89 11877.83 9790.47 5091.22 16881.12 12094.68 7674.48 17095.35 15192.29 173
ETH3 D test640085.09 12284.87 13185.75 13090.80 15669.34 18185.90 13093.31 7065.43 26386.11 17989.95 20580.92 12294.86 7175.90 15995.57 14693.05 138
NCCC87.36 8686.87 9788.83 7092.32 10278.84 8786.58 12291.09 14078.77 10884.85 20190.89 18280.85 12395.29 5581.14 9595.32 15392.34 169
TAPA-MVS77.73 1285.71 11384.83 13288.37 8588.78 19479.72 7687.15 11093.50 6269.17 22485.80 18689.56 21280.76 12492.13 16873.21 19195.51 14793.25 132
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
Fast-Effi-MVS+-dtu82.54 17481.41 18885.90 12685.60 25476.53 12083.07 19189.62 18173.02 18179.11 28483.51 30280.74 12590.24 22468.76 22789.29 27490.94 209
PC_three_145258.96 30390.06 9691.33 16680.66 12693.03 14675.78 16095.94 13292.48 162
VPA-MVSNet83.47 16284.73 13379.69 24290.29 16657.52 29581.30 23288.69 19376.29 13087.58 14894.44 6480.60 12787.20 27166.60 24396.82 9694.34 88
Regformer-385.06 12384.67 13886.22 11884.27 27373.43 13684.07 15785.26 24580.77 8288.62 13185.48 27480.56 12890.39 22181.99 8791.04 25094.85 71
ETV-MVS84.31 13983.91 15485.52 13488.58 19770.40 17384.50 15393.37 6478.76 10984.07 21878.72 34480.39 12995.13 6373.82 17992.98 21491.04 206
HPM-MVS++copyleft88.93 6888.45 7690.38 4594.92 3785.85 3089.70 6491.27 13578.20 11486.69 16792.28 14480.36 13095.06 6686.17 4396.49 10790.22 227
ANet_high83.17 16885.68 11875.65 29481.24 30445.26 36279.94 24792.91 9183.83 4391.33 7796.88 1080.25 13185.92 29168.89 22695.89 13595.76 43
EI-MVSNet-Vis-set85.12 12184.53 14186.88 10384.01 28072.76 14183.91 16585.18 24780.44 8388.75 12885.49 27380.08 13291.92 17582.02 8690.85 25995.97 39
DeepC-MVS_fast80.27 886.23 10385.65 11987.96 9291.30 14076.92 11387.19 10891.99 11470.56 21184.96 19790.69 18880.01 13395.14 6278.37 12695.78 14191.82 191
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
EI-MVSNet-UG-set85.04 12484.44 14386.85 10483.87 28372.52 15083.82 16785.15 24880.27 8788.75 12885.45 27779.95 13491.90 17681.92 8990.80 26096.13 34
MCST-MVS84.36 13783.93 15385.63 13291.59 12771.58 16683.52 17692.13 11061.82 28483.96 21989.75 21079.93 13593.46 12978.33 12894.34 18591.87 189
TSAR-MVS + MP.88.14 7687.82 8189.09 6895.72 2276.74 11692.49 2591.19 13867.85 24286.63 16894.84 4979.58 13695.96 1387.62 1494.50 18194.56 77
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
test1286.57 10890.74 15772.63 14690.69 15082.76 23579.20 13794.80 7395.32 15392.27 175
CSCG86.26 10286.47 10185.60 13390.87 15474.26 13287.98 9791.85 11880.35 8589.54 11888.01 23479.09 13892.13 16875.51 16295.06 16490.41 225
Test By Simon79.09 138
PHI-MVS86.38 10085.81 11488.08 8988.44 20177.34 10789.35 7893.05 8473.15 17984.76 20287.70 24078.87 14094.18 9580.67 10396.29 11592.73 150
EG-PatchMatch MVS84.08 14884.11 14983.98 16492.22 10672.61 14782.20 22087.02 22372.63 18588.86 12591.02 17678.52 14191.11 19873.41 18491.09 24888.21 256
dcpmvs_284.23 14485.14 12681.50 21388.61 19661.98 25082.90 19793.11 8068.66 23292.77 5292.39 13778.50 14287.63 26776.99 14992.30 22694.90 65
Effi-MVS+-dtu85.82 11183.38 15893.14 387.13 22691.15 287.70 10288.42 19674.57 15783.56 22585.65 27178.49 14394.21 9372.04 19892.88 21694.05 99
mvs-test184.55 13382.12 17791.84 2087.13 22689.54 485.05 14288.42 19674.57 15780.60 26682.98 30878.49 14393.98 10572.04 19889.77 27092.00 184
Vis-MVSNetpermissive86.86 9286.58 10087.72 9392.09 11077.43 10687.35 10692.09 11178.87 10684.27 21694.05 8778.35 14593.65 11680.54 10591.58 24492.08 181
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
UniMVSNet_NR-MVSNet86.84 9387.06 9286.17 12292.86 8767.02 20182.55 20691.56 12583.08 5590.92 8391.82 15578.25 14693.99 10374.16 17398.35 2297.49 13
MSLP-MVS++85.00 12686.03 11081.90 20591.84 12271.56 16786.75 11993.02 8875.95 13987.12 15389.39 21377.98 14789.40 24777.46 14294.78 17484.75 295
API-MVS82.28 17782.61 17181.30 21586.29 24569.79 17588.71 8987.67 21078.42 11382.15 24484.15 29877.98 14791.59 18365.39 25292.75 21882.51 325
DP-MVS Recon84.05 14983.22 16086.52 11091.73 12575.27 12783.23 18892.40 10472.04 19782.04 24588.33 23077.91 14993.95 10666.17 24595.12 16290.34 226
UniMVSNet (Re)86.87 9186.98 9586.55 10993.11 8068.48 19083.80 16992.87 9280.37 8489.61 11491.81 15677.72 15094.18 9575.00 16998.53 1696.99 23
PCF-MVS74.62 1582.15 18080.92 19685.84 12889.43 18072.30 15480.53 24091.82 12057.36 31587.81 14589.92 20777.67 15193.63 11858.69 29595.08 16391.58 198
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
NR-MVSNet86.00 10786.22 10685.34 13793.24 7764.56 21982.21 21890.46 15580.99 7888.42 13591.97 14977.56 15293.85 10972.46 19698.65 1297.61 10
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14281.66 6491.25 4094.13 3688.89 1388.83 12794.26 7677.55 15395.86 2184.88 5695.87 13695.24 58
MVS_Test82.47 17583.22 16080.22 23582.62 29457.75 29482.54 20791.96 11671.16 20682.89 23492.52 13677.41 15490.50 21880.04 10887.84 29492.40 166
EIA-MVS82.19 17981.23 19185.10 14187.95 20969.17 18783.22 18993.33 6770.42 21278.58 28779.77 34177.29 15594.20 9471.51 20188.96 27991.93 188
xiu_mvs_v2_base77.19 24276.75 24478.52 25787.01 23261.30 25575.55 30887.12 22161.24 29074.45 31878.79 34377.20 15690.93 20364.62 26084.80 32383.32 314
DU-MVS86.80 9486.99 9486.21 12093.24 7767.02 20183.16 19092.21 10881.73 7090.92 8391.97 14977.20 15693.99 10374.16 17398.35 2297.61 10
Baseline_NR-MVSNet84.00 15185.90 11278.29 26391.47 13853.44 32282.29 21487.00 22679.06 10389.55 11695.72 2977.20 15686.14 28972.30 19798.51 1795.28 56
TinyColmap81.25 19182.34 17677.99 26885.33 25860.68 26682.32 21388.33 19971.26 20486.97 16092.22 14777.10 15986.98 27562.37 27195.17 15986.31 279
F-COLMAP84.97 12783.42 15789.63 5792.39 9883.40 5088.83 8691.92 11773.19 17880.18 27589.15 21977.04 16093.28 13565.82 25092.28 22992.21 178
114514_t83.10 16982.54 17384.77 14692.90 8469.10 18886.65 12090.62 15354.66 32681.46 25790.81 18576.98 16194.38 8772.62 19496.18 12190.82 213
xiu_mvs_v1_base_debu80.84 19780.14 20882.93 18788.31 20271.73 16279.53 25287.17 21565.43 26379.59 27782.73 31576.94 16290.14 23073.22 18688.33 28586.90 274
xiu_mvs_v1_base80.84 19780.14 20882.93 18788.31 20271.73 16279.53 25287.17 21565.43 26379.59 27782.73 31576.94 16290.14 23073.22 18688.33 28586.90 274
xiu_mvs_v1_base_debi80.84 19780.14 20882.93 18788.31 20271.73 16279.53 25287.17 21565.43 26379.59 27782.73 31576.94 16290.14 23073.22 18688.33 28586.90 274
pcd_1.5k_mvsjas6.41 3458.55 3480.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37976.94 1620.00 3800.00 3780.00 3780.00 376
PS-MVSNAJss88.31 7487.90 8089.56 6093.31 7577.96 9687.94 9991.97 11570.73 21094.19 2296.67 1176.94 16294.57 8283.07 7496.28 11696.15 33
PS-MVSNAJ77.04 24476.53 24678.56 25687.09 23161.40 25375.26 31087.13 21861.25 28974.38 32077.22 35276.94 16290.94 20264.63 25984.83 32283.35 313
MIMVSNet183.63 15884.59 13980.74 22694.06 5762.77 23882.72 20084.53 25877.57 12190.34 9295.92 2576.88 16885.83 29361.88 27697.42 7893.62 121
原ACMM184.60 15092.81 9074.01 13391.50 12762.59 27882.73 23690.67 19076.53 16994.25 9069.24 22095.69 14485.55 286
MSDG80.06 21679.99 21280.25 23483.91 28268.04 19577.51 28489.19 18777.65 11981.94 24683.45 30476.37 17086.31 28663.31 26786.59 30386.41 277
Gipumacopyleft84.44 13686.33 10378.78 25284.20 27673.57 13589.55 7090.44 15684.24 3984.38 20894.89 4776.35 17180.40 32676.14 15696.80 9782.36 326
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
XXY-MVS74.44 27376.19 24969.21 32384.61 26552.43 33071.70 33077.18 30060.73 29680.60 26690.96 18075.44 17269.35 35256.13 30888.33 28585.86 284
FMVSNet184.55 13385.45 12281.85 20790.27 16761.05 25986.83 11588.27 20178.57 11189.66 11195.64 3175.43 17390.68 21369.09 22495.33 15293.82 109
CANet83.79 15582.85 16686.63 10786.17 24972.21 15783.76 17091.43 12977.24 12474.39 31987.45 24575.36 17495.42 5177.03 14892.83 21792.25 177
ab-mvs79.67 21780.56 19876.99 27988.48 19956.93 29984.70 14686.06 23468.95 22880.78 26593.08 11475.30 17584.62 30456.78 30490.90 25789.43 239
patch_mono-278.89 22279.39 21677.41 27784.78 26368.11 19375.60 30583.11 26460.96 29379.36 28089.89 20875.18 17672.97 34473.32 18592.30 22691.15 204
DELS-MVS81.44 18981.25 18982.03 20384.27 27362.87 23776.47 29892.49 10370.97 20781.64 25583.83 29975.03 17792.70 15474.29 17192.22 23290.51 223
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
PAPR78.84 22478.10 23181.07 22085.17 25960.22 26982.21 21890.57 15462.51 27975.32 31484.61 29374.99 17892.30 16559.48 29388.04 29190.68 217
CNLPA83.55 16083.10 16484.90 14389.34 18283.87 4884.54 15188.77 19179.09 10283.54 22688.66 22774.87 17981.73 32066.84 24192.29 22889.11 245
HQP_MVS87.75 8587.43 8888.70 7793.45 7076.42 12189.45 7593.61 5879.44 9786.55 16992.95 12074.84 18095.22 5980.78 10195.83 13794.46 82
plane_prior692.61 9176.54 11774.84 180
FC-MVSNet-test85.93 11087.05 9382.58 19692.25 10456.44 30385.75 13393.09 8277.33 12291.94 6894.65 5574.78 18293.41 13275.11 16898.58 1497.88 7
VDD-MVS84.23 14484.58 14083.20 18191.17 14765.16 21583.25 18684.97 25579.79 9187.18 15294.27 7374.77 18390.89 20669.24 22096.54 10593.55 126
BH-untuned80.96 19580.99 19480.84 22588.55 19868.23 19180.33 24388.46 19572.79 18386.55 16986.76 25674.72 18491.77 18161.79 27788.99 27882.52 324
VPNet80.25 21081.68 18375.94 29392.46 9747.98 35376.70 29381.67 27673.45 16984.87 20092.82 12474.66 18586.51 28361.66 27996.85 9393.33 127
tfpnnormal81.79 18682.95 16578.31 26188.93 19155.40 30980.83 23982.85 26776.81 12785.90 18594.14 8474.58 18686.51 28366.82 24295.68 14593.01 140
KD-MVS_self_test81.93 18583.14 16378.30 26284.75 26452.75 32680.37 24289.42 18570.24 21790.26 9493.39 11074.55 18786.77 27968.61 23096.64 10095.38 52
V4283.47 16283.37 15983.75 17083.16 28963.33 23081.31 23090.23 16869.51 22290.91 8590.81 18574.16 18892.29 16680.06 10790.22 26795.62 47
3Dnovator80.37 784.80 12884.71 13685.06 14286.36 24274.71 12988.77 8890.00 17475.65 14484.96 19793.17 11374.06 18991.19 19578.28 12991.09 24889.29 243
v1086.54 9787.10 9184.84 14488.16 20763.28 23186.64 12192.20 10975.42 14892.81 5194.50 6174.05 19094.06 10283.88 6696.28 11697.17 19
旧先验191.97 11371.77 16181.78 27591.84 15373.92 19193.65 19983.61 308
mvs_anonymous78.13 23378.76 22276.23 29279.24 32850.31 34678.69 26784.82 25661.60 28883.09 23392.82 12473.89 19287.01 27268.33 23386.41 30591.37 201
MAR-MVS80.24 21178.74 22384.73 14786.87 23678.18 9285.75 13387.81 20965.67 26277.84 29278.50 34573.79 19390.53 21761.59 28190.87 25885.49 288
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
VDDNet84.35 13885.39 12381.25 21695.13 3359.32 27785.42 13881.11 27886.41 2987.41 15096.21 1973.61 19490.61 21666.33 24496.85 9393.81 112
FIs85.35 11786.27 10582.60 19591.86 11957.31 29685.10 14193.05 8475.83 14191.02 8293.97 9173.57 19592.91 15173.97 17698.02 4097.58 12
v114484.54 13584.72 13584.00 16387.67 21562.55 24282.97 19490.93 14570.32 21589.80 10690.99 17773.50 19693.48 12881.69 9194.65 17995.97 39
diffmvs80.40 20680.48 20180.17 23679.02 33160.04 27077.54 28390.28 16766.65 25182.40 23987.33 24873.50 19687.35 27077.98 13689.62 27293.13 135
PAPM_NR83.23 16683.19 16283.33 17890.90 15365.98 20988.19 9590.78 14878.13 11680.87 26487.92 23873.49 19892.42 15970.07 21488.40 28491.60 197
v886.22 10486.83 9884.36 15587.82 21162.35 24686.42 12491.33 13376.78 12892.73 5394.48 6373.41 19993.72 11583.10 7395.41 14997.01 22
EI-MVSNet82.61 17282.42 17583.20 18183.25 28763.66 22683.50 17985.07 24976.06 13486.55 16985.10 28373.41 19990.25 22278.15 13490.67 26395.68 45
IterMVS-LS84.73 12984.98 12983.96 16587.35 22163.66 22683.25 18689.88 17676.06 13489.62 11292.37 14173.40 20192.52 15878.16 13294.77 17695.69 44
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v14419284.24 14384.41 14483.71 17187.59 21861.57 25282.95 19591.03 14167.82 24389.80 10690.49 19473.28 20293.51 12781.88 9094.89 17196.04 38
BH-RMVSNet80.53 20280.22 20681.49 21487.19 22566.21 20877.79 27986.23 23274.21 16183.69 22188.50 22873.25 20390.75 21063.18 26887.90 29287.52 266
PLCcopyleft73.85 1682.09 18180.31 20287.45 9790.86 15580.29 7285.88 13190.65 15168.17 23676.32 30286.33 26173.12 20492.61 15761.40 28290.02 26989.44 238
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OurMVSNet-221017-090.01 4689.74 5590.83 3793.16 7980.37 7191.91 3493.11 8081.10 7795.32 1097.24 572.94 20594.85 7285.07 5397.78 5697.26 16
WR-MVS83.56 15984.40 14581.06 22193.43 7254.88 31478.67 26885.02 25281.24 7590.74 8791.56 16272.85 20691.08 19968.00 23498.04 3797.23 17
VNet79.31 21880.27 20376.44 28787.92 21053.95 31875.58 30784.35 25974.39 16082.23 24290.72 18772.84 20784.39 30660.38 28993.98 19290.97 208
QAPM82.59 17382.59 17282.58 19686.44 23766.69 20589.94 6190.36 15967.97 23984.94 19992.58 13372.71 20892.18 16770.63 21087.73 29588.85 252
v119284.57 13284.69 13784.21 15987.75 21362.88 23683.02 19391.43 12969.08 22689.98 10190.89 18272.70 20993.62 12182.41 8294.97 16896.13 34
OpenMVScopyleft76.72 1381.98 18482.00 18081.93 20484.42 26968.22 19288.50 9389.48 18366.92 24881.80 25291.86 15172.59 21090.16 22771.19 20391.25 24787.40 268
TSAR-MVS + GP.83.95 15282.69 16987.72 9389.27 18481.45 6583.72 17181.58 27774.73 15585.66 18786.06 26672.56 21192.69 15575.44 16495.21 15789.01 251
alignmvs83.94 15383.98 15283.80 16787.80 21267.88 19684.54 15191.42 13173.27 17788.41 13687.96 23572.33 21290.83 20876.02 15894.11 18992.69 154
HQP2-MVS72.10 213
HQP-MVS84.61 13184.06 15086.27 11691.19 14470.66 17184.77 14392.68 9973.30 17480.55 26990.17 20372.10 21394.61 8077.30 14594.47 18293.56 124
testgi72.36 28774.61 26165.59 33680.56 31542.82 36968.29 34173.35 32766.87 24981.84 24989.93 20672.08 21566.92 36046.05 35592.54 22387.01 273
v192192084.23 14484.37 14683.79 16887.64 21761.71 25182.91 19691.20 13767.94 24090.06 9690.34 19672.04 21693.59 12282.32 8494.91 16996.07 36
MSP-MVS89.08 6588.16 7891.83 2195.76 1886.14 2492.75 1793.90 4678.43 11289.16 12292.25 14572.03 21796.36 288.21 890.93 25692.98 141
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
LF4IMVS82.75 17181.93 18185.19 13882.08 29580.15 7385.53 13688.76 19268.01 23785.58 18987.75 23971.80 21886.85 27774.02 17593.87 19488.58 254
v124084.30 14084.51 14283.65 17287.65 21661.26 25682.85 19891.54 12667.94 24090.68 8890.65 19171.71 21993.64 11782.84 7894.78 17496.07 36
ambc82.98 18590.55 16364.86 21688.20 9489.15 18889.40 11993.96 9471.67 22091.38 19278.83 12296.55 10492.71 153
112180.86 19679.81 21384.02 16293.93 6078.70 8881.64 22580.18 28555.43 32383.67 22291.15 17171.29 22191.41 19067.95 23693.06 21181.96 330
新几何182.95 18693.96 5978.56 9080.24 28455.45 32283.93 22091.08 17371.19 22288.33 26065.84 24993.07 21081.95 331
v14882.31 17682.48 17481.81 21085.59 25559.66 27481.47 22886.02 23572.85 18288.05 14190.65 19170.73 22390.91 20575.15 16791.79 23994.87 67
v2v48284.09 14784.24 14883.62 17387.13 22661.40 25382.71 20189.71 17872.19 19589.55 11691.41 16570.70 22493.20 13781.02 9693.76 19596.25 32
bld_raw_conf00588.83 7088.48 7589.85 5292.53 9476.54 11791.30 3993.28 7574.96 15393.26 4196.02 2370.41 22595.63 3486.73 3397.87 5297.39 14
UGNet82.78 17081.64 18486.21 12086.20 24876.24 12486.86 11385.68 23977.07 12573.76 32292.82 12469.64 22691.82 18069.04 22593.69 19890.56 221
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
c3_l81.64 18781.59 18681.79 21180.86 31059.15 28178.61 26990.18 17068.36 23387.20 15187.11 25369.39 22791.62 18278.16 13294.43 18494.60 76
MG-MVS80.32 20980.94 19578.47 25988.18 20552.62 32982.29 21485.01 25372.01 19879.24 28392.54 13569.36 22893.36 13470.65 20989.19 27789.45 237
IS-MVSNet86.66 9686.82 9986.17 12292.05 11266.87 20391.21 4188.64 19486.30 3089.60 11592.59 13169.22 22994.91 7073.89 17797.89 5196.72 25
PVSNet_BlendedMVS78.80 22577.84 23381.65 21284.43 26763.41 22879.49 25590.44 15661.70 28775.43 31287.07 25469.11 23091.44 18760.68 28792.24 23090.11 231
PVSNet_Blended76.49 25275.40 25679.76 24084.43 26763.41 22875.14 31190.44 15657.36 31575.43 31278.30 34669.11 23091.44 18760.68 28787.70 29684.42 298
BH-w/o76.57 25076.07 25178.10 26686.88 23565.92 21077.63 28186.33 23065.69 26180.89 26379.95 33868.97 23290.74 21153.01 32985.25 31577.62 350
MVS73.21 28172.59 28375.06 29880.97 30760.81 26581.64 22585.92 23746.03 36071.68 33177.54 34868.47 23389.77 23955.70 31185.39 31274.60 355
miper_ehance_all_eth80.34 20880.04 21181.24 21879.82 32158.95 28377.66 28089.66 17965.75 26085.99 18485.11 28268.29 23491.42 18976.03 15792.03 23493.33 127
Anonymous20240521180.51 20381.19 19278.49 25888.48 19957.26 29776.63 29482.49 26981.21 7684.30 21492.24 14667.99 23586.24 28762.22 27295.13 16091.98 187
testdata79.54 24592.87 8572.34 15380.14 28659.91 30185.47 19291.75 15867.96 23685.24 29768.57 23292.18 23381.06 344
test_part187.15 8987.82 8185.15 14088.88 19263.04 23487.98 9794.85 1682.52 6193.61 3795.73 2767.51 23795.71 3180.48 10698.83 296.69 26
DPM-MVS80.10 21579.18 21882.88 19090.71 15969.74 17678.87 26590.84 14660.29 29975.64 31185.92 26967.28 23893.11 14371.24 20291.79 23985.77 285
PVSNet_Blended_VisFu81.55 18880.49 20084.70 14991.58 13073.24 13984.21 15591.67 12462.86 27780.94 26287.16 25167.27 23992.87 15269.82 21688.94 28087.99 260
MDA-MVSNet-bldmvs77.47 23976.90 24379.16 24979.03 33064.59 21766.58 34875.67 31073.15 17988.86 12588.99 22266.94 24081.23 32264.71 25788.22 29091.64 196
CL-MVSNet_self_test76.81 24777.38 23775.12 29786.90 23451.34 33773.20 32580.63 28368.30 23581.80 25288.40 22966.92 24180.90 32355.35 31594.90 17093.12 136
test22293.31 7576.54 11779.38 25677.79 29752.59 33682.36 24090.84 18466.83 24291.69 24181.25 339
TR-MVS76.77 24875.79 25279.72 24186.10 25165.79 21177.14 28783.02 26565.20 26881.40 25882.10 31966.30 24390.73 21255.57 31285.27 31482.65 320
OpenMVS_ROBcopyleft70.19 1777.77 23877.46 23578.71 25484.39 27061.15 25781.18 23482.52 26862.45 28183.34 22887.37 24666.20 24488.66 25764.69 25885.02 31786.32 278
EPP-MVSNet85.47 11585.04 12886.77 10691.52 13669.37 18091.63 3787.98 20781.51 7387.05 15891.83 15466.18 24595.29 5570.75 20796.89 9195.64 46
SixPastTwentyTwo87.20 8887.45 8786.45 11192.52 9569.19 18687.84 10188.05 20481.66 7194.64 1496.53 1465.94 24694.75 7483.02 7696.83 9595.41 51
PatchMatch-RL74.48 27173.22 27678.27 26487.70 21485.26 3575.92 30370.09 34564.34 27276.09 30581.25 32765.87 24778.07 33253.86 32383.82 32771.48 358
EPNet80.37 20778.41 22886.23 11776.75 34273.28 13787.18 10977.45 29976.24 13268.14 34288.93 22365.41 24893.85 10969.47 21896.12 12591.55 199
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PM-MVS80.20 21279.00 21983.78 16988.17 20686.66 1881.31 23066.81 35769.64 22188.33 13890.19 20164.58 24983.63 31271.99 20090.03 26881.06 344
miper_enhance_ethall77.83 23576.93 24280.51 23076.15 34858.01 29175.47 30988.82 19058.05 30983.59 22480.69 32964.41 25091.20 19473.16 19292.03 23492.33 170
eth_miper_zixun_eth80.84 19780.22 20682.71 19381.41 30260.98 26277.81 27890.14 17167.31 24686.95 16187.24 25064.26 25192.31 16475.23 16691.61 24294.85 71
test20.0373.75 27774.59 26371.22 31681.11 30651.12 34170.15 33672.10 33670.42 21280.28 27491.50 16364.21 25274.72 34346.96 35394.58 18087.82 265
cascas76.29 25574.81 26080.72 22884.47 26662.94 23573.89 32087.34 21255.94 32075.16 31676.53 35563.97 25391.16 19665.00 25490.97 25588.06 258
TAMVS78.08 23476.36 24783.23 18090.62 16072.87 14079.08 26280.01 28761.72 28681.35 25986.92 25563.96 25488.78 25550.61 33793.01 21388.04 259
GBi-Net82.02 18282.07 17881.85 20786.38 23961.05 25986.83 11588.27 20172.43 18686.00 18195.64 3163.78 25590.68 21365.95 24693.34 20393.82 109
test182.02 18282.07 17881.85 20786.38 23961.05 25986.83 11588.27 20172.43 18686.00 18195.64 3163.78 25590.68 21365.95 24693.34 20393.82 109
FMVSNet281.31 19081.61 18580.41 23286.38 23958.75 28883.93 16486.58 22972.43 18687.65 14692.98 11763.78 25590.22 22566.86 23993.92 19392.27 175
USDC76.63 24976.73 24576.34 28983.46 28557.20 29880.02 24688.04 20552.14 34183.65 22391.25 16763.24 25886.65 28254.66 32094.11 18985.17 290
DIV-MVS_self_test80.43 20480.23 20481.02 22279.99 31959.25 27877.07 28987.02 22367.38 24486.19 17689.22 21663.09 25990.16 22776.32 15395.80 13993.66 117
cl____80.42 20580.23 20481.02 22279.99 31959.25 27877.07 28987.02 22367.37 24586.18 17889.21 21763.08 26090.16 22776.31 15495.80 13993.65 119
h-mvs3384.25 14282.76 16788.72 7591.82 12482.60 5884.00 16184.98 25471.27 20286.70 16590.55 19363.04 26193.92 10778.26 13094.20 18889.63 234
hse-mvs283.47 16281.81 18288.47 8191.03 15082.27 5982.61 20283.69 26071.27 20286.70 16586.05 26763.04 26192.41 16078.26 13093.62 20190.71 215
MVS_030478.17 23277.23 23980.99 22484.13 27969.07 18981.39 22980.81 28176.28 13167.53 34789.11 22062.87 26386.77 27960.90 28692.01 23787.13 271
new-patchmatchnet70.10 30273.37 27560.29 34981.23 30516.95 37959.54 35974.62 31562.93 27680.97 26187.93 23762.83 26471.90 34755.24 31695.01 16692.00 184
K. test v385.14 12084.73 13386.37 11291.13 14869.63 17985.45 13776.68 30484.06 4292.44 5896.99 862.03 26594.65 7780.58 10493.24 20694.83 73
lessismore_v085.95 12491.10 14970.99 17070.91 34391.79 6994.42 6761.76 26692.93 14979.52 11793.03 21293.93 103
131473.22 28072.56 28575.20 29680.41 31857.84 29281.64 22585.36 24251.68 34473.10 32576.65 35461.45 26785.19 29863.54 26479.21 34982.59 321
CANet_DTU77.81 23777.05 24080.09 23781.37 30359.90 27283.26 18588.29 20069.16 22567.83 34583.72 30060.93 26889.47 24369.22 22289.70 27190.88 211
pmmvs-eth3d78.42 23177.04 24182.57 19887.44 22074.41 13180.86 23879.67 28855.68 32184.69 20390.31 19860.91 26985.42 29662.20 27391.59 24387.88 263
UnsupCasMVSNet_eth71.63 29472.30 28769.62 32176.47 34552.70 32870.03 33780.97 28059.18 30279.36 28088.21 23260.50 27069.12 35358.33 29877.62 35487.04 272
IterMVS-SCA-FT80.64 20179.41 21584.34 15683.93 28169.66 17876.28 30081.09 27972.43 18686.47 17590.19 20160.46 27193.15 14277.45 14386.39 30690.22 227
SCA73.32 27872.57 28475.58 29581.62 29955.86 30678.89 26471.37 34261.73 28574.93 31783.42 30560.46 27187.01 27258.11 30082.63 33783.88 302
jason77.42 24075.75 25382.43 20187.10 23069.27 18277.99 27581.94 27451.47 34577.84 29285.07 28660.32 27389.00 24970.74 20889.27 27689.03 249
jason: jason.
1112_ss74.82 26873.74 26978.04 26789.57 17760.04 27076.49 29787.09 22254.31 32773.66 32379.80 33960.25 27486.76 28158.37 29684.15 32687.32 269
HY-MVS64.64 1873.03 28272.47 28674.71 29983.36 28654.19 31682.14 22181.96 27356.76 31969.57 33986.21 26560.03 27584.83 30349.58 34282.65 33585.11 291
Anonymous2023120671.38 29571.88 28969.88 31986.31 24354.37 31570.39 33574.62 31552.57 33776.73 29888.76 22459.94 27672.06 34644.35 35893.23 20783.23 316
IterMVS76.91 24576.34 24878.64 25580.91 30864.03 22476.30 29979.03 29264.88 27083.11 23189.16 21859.90 27784.46 30568.61 23085.15 31687.42 267
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
YYNet170.06 30370.44 29868.90 32473.76 36153.42 32358.99 36267.20 35358.42 30687.10 15585.39 27959.82 27867.32 35759.79 29183.50 32985.96 281
MDA-MVSNet_test_wron70.05 30470.44 29868.88 32573.84 36053.47 32158.93 36367.28 35258.43 30587.09 15685.40 27859.80 27967.25 35859.66 29283.54 32885.92 283
PMMVS61.65 32960.38 33565.47 33865.40 37669.26 18363.97 35361.73 36536.80 37160.11 36568.43 36459.42 28066.35 36248.97 34478.57 35160.81 366
CDS-MVSNet77.32 24175.40 25683.06 18389.00 18972.48 15177.90 27782.17 27260.81 29478.94 28583.49 30359.30 28188.76 25654.64 32192.37 22587.93 262
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
UnsupCasMVSNet_bld69.21 30969.68 30467.82 33079.42 32551.15 34067.82 34575.79 30854.15 32877.47 29785.36 28159.26 28270.64 34948.46 34679.35 34781.66 333
Anonymous2024052180.18 21381.25 18976.95 28083.15 29060.84 26482.46 20985.99 23668.76 23086.78 16293.73 10659.13 28377.44 33373.71 18097.55 7092.56 158
WTY-MVS67.91 31368.35 31166.58 33480.82 31148.12 35265.96 34972.60 33253.67 33171.20 33381.68 32458.97 28469.06 35448.57 34581.67 33882.55 322
cl2278.97 22178.21 23081.24 21877.74 33559.01 28277.46 28687.13 21865.79 25784.32 21085.10 28358.96 28590.88 20775.36 16592.03 23493.84 106
MVSFormer82.23 17881.57 18784.19 16185.54 25669.26 18391.98 3190.08 17271.54 20076.23 30385.07 28658.69 28694.27 8886.26 3988.77 28189.03 249
lupinMVS76.37 25474.46 26482.09 20285.54 25669.26 18376.79 29180.77 28250.68 35176.23 30382.82 31358.69 28688.94 25069.85 21588.77 28188.07 257
Test_1112_low_res73.90 27673.08 27776.35 28890.35 16555.95 30473.40 32486.17 23350.70 35073.14 32485.94 26858.31 28885.90 29256.51 30683.22 33087.20 270
test_yl78.71 22778.51 22679.32 24784.32 27158.84 28578.38 27085.33 24375.99 13782.49 23786.57 25758.01 28990.02 23662.74 26992.73 21989.10 246
DCV-MVSNet78.71 22778.51 22679.32 24784.32 27158.84 28578.38 27085.33 24375.99 13782.49 23786.57 25758.01 28990.02 23662.74 26992.73 21989.10 246
sss66.92 31567.26 31565.90 33577.23 33851.10 34264.79 35071.72 34052.12 34270.13 33780.18 33657.96 29165.36 36550.21 33881.01 34381.25 339
ppachtmachnet_test74.73 27074.00 26876.90 28280.71 31356.89 30171.53 33178.42 29458.24 30779.32 28282.92 31257.91 29284.26 30765.60 25191.36 24689.56 236
MVP-Stereo75.81 25873.51 27382.71 19389.35 18173.62 13480.06 24485.20 24660.30 29873.96 32187.94 23657.89 29389.45 24552.02 33274.87 35985.06 292
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
PAPM71.77 29270.06 30276.92 28186.39 23853.97 31776.62 29586.62 22853.44 33263.97 36084.73 29257.79 29492.34 16339.65 36581.33 34184.45 297
LFMVS80.15 21480.56 19878.89 25089.19 18655.93 30585.22 14073.78 32482.96 5684.28 21592.72 12857.38 29590.07 23463.80 26295.75 14290.68 217
Vis-MVSNet (Re-imp)77.82 23677.79 23477.92 26988.82 19351.29 33983.28 18471.97 33774.04 16282.23 24289.78 20957.38 29589.41 24657.22 30395.41 14993.05 138
CHOSEN 1792x268872.45 28670.56 29678.13 26590.02 17563.08 23368.72 34083.16 26342.99 36675.92 30785.46 27657.22 29785.18 29949.87 34181.67 33886.14 280
miper_lstm_enhance76.45 25376.10 25077.51 27576.72 34360.97 26364.69 35185.04 25163.98 27383.20 23088.22 23156.67 29878.79 33173.22 18693.12 20992.78 149
our_test_371.85 29171.59 29172.62 31080.71 31353.78 31969.72 33871.71 34158.80 30478.03 28980.51 33456.61 29978.84 33062.20 27386.04 30985.23 289
baseline173.26 27973.54 27272.43 31284.92 26147.79 35479.89 24874.00 32065.93 25578.81 28686.28 26456.36 30081.63 32156.63 30579.04 35087.87 264
pmmvs474.92 26672.98 27980.73 22784.95 26071.71 16576.23 30177.59 29852.83 33577.73 29586.38 25956.35 30184.97 30057.72 30287.05 30085.51 287
MVEpermissive40.22 2351.82 34050.47 34355.87 35262.66 37851.91 33331.61 37039.28 37940.65 36750.76 37374.98 35956.24 30244.67 37433.94 37164.11 37071.04 360
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
N_pmnet70.20 30068.80 30974.38 30180.91 30884.81 4059.12 36176.45 30655.06 32475.31 31582.36 31855.74 30354.82 37047.02 35187.24 29983.52 309
MS-PatchMatch70.93 29770.22 30073.06 30781.85 29862.50 24373.82 32177.90 29652.44 33875.92 30781.27 32655.67 30481.75 31955.37 31477.70 35374.94 354
DSMNet-mixed60.98 33461.61 33359.09 35172.88 36645.05 36374.70 31546.61 37826.20 37265.34 35390.32 19755.46 30563.12 36841.72 36281.30 34269.09 362
pmmvs570.73 29870.07 30172.72 30877.03 34152.73 32774.14 31775.65 31150.36 35372.17 32985.37 28055.42 30680.67 32552.86 33087.59 29784.77 294
CMPMVSbinary59.41 2075.12 26373.57 27179.77 23975.84 35067.22 19881.21 23382.18 27150.78 34976.50 29987.66 24155.20 30782.99 31462.17 27590.64 26689.09 248
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MIMVSNet71.09 29671.59 29169.57 32287.23 22350.07 34778.91 26371.83 33860.20 30071.26 33291.76 15755.08 30876.09 33741.06 36387.02 30182.54 323
iter_conf0579.19 21977.97 23282.86 19185.81 25366.85 20475.02 31279.31 28966.07 25483.50 22783.37 30755.04 30992.10 17178.63 12494.99 16789.63 234
PVSNet_051.08 2256.10 33754.97 34259.48 35075.12 35653.28 32455.16 36461.89 36344.30 36359.16 36662.48 36954.22 31065.91 36435.40 36947.01 37259.25 368
EPNet_dtu72.87 28471.33 29577.49 27677.72 33660.55 26782.35 21275.79 30866.49 25258.39 37081.06 32853.68 31185.98 29053.55 32492.97 21585.95 282
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PMMVS255.64 33959.27 33944.74 35564.30 37712.32 38040.60 36849.79 37653.19 33365.06 35784.81 29053.60 31249.76 37232.68 37289.41 27372.15 357
HyFIR lowres test75.12 26372.66 28282.50 19991.44 13965.19 21472.47 32787.31 21346.79 35780.29 27284.30 29652.70 31392.10 17151.88 33686.73 30290.22 227
test111178.53 22978.85 22077.56 27492.22 10647.49 35582.61 20269.24 34972.43 18685.28 19394.20 7951.91 31490.07 23465.36 25396.45 11095.11 62
ECVR-MVScopyleft78.44 23078.63 22477.88 27091.85 12048.95 34983.68 17369.91 34772.30 19384.26 21794.20 7951.89 31589.82 23863.58 26396.02 12794.87 67
FMVSNet378.80 22578.55 22579.57 24482.89 29356.89 30181.76 22285.77 23869.04 22786.00 18190.44 19551.75 31690.09 23365.95 24693.34 20391.72 193
D2MVS76.84 24675.67 25580.34 23380.48 31762.16 24973.50 32284.80 25757.61 31382.24 24187.54 24351.31 31787.65 26670.40 21393.19 20891.23 203
AUN-MVS81.18 19278.78 22188.39 8490.93 15282.14 6082.51 20883.67 26164.69 27180.29 27285.91 27051.07 31892.38 16176.29 15593.63 20090.65 219
PVSNet58.17 2166.41 32065.63 32368.75 32681.96 29649.88 34862.19 35772.51 33451.03 34768.04 34375.34 35850.84 31974.77 34145.82 35682.96 33181.60 334
GA-MVS75.83 25774.61 26179.48 24681.87 29759.25 27873.42 32382.88 26668.68 23179.75 27681.80 32250.62 32089.46 24466.85 24085.64 31189.72 233
FPMVS72.29 28972.00 28873.14 30688.63 19585.00 3774.65 31667.39 35171.94 19977.80 29487.66 24150.48 32175.83 33949.95 33979.51 34558.58 369
MVS-HIRNet61.16 33262.92 32955.87 35279.09 32935.34 37471.83 32957.98 37146.56 35859.05 36791.14 17249.95 32276.43 33638.74 36671.92 36355.84 370
CVMVSNet72.62 28571.41 29476.28 29083.25 28760.34 26883.50 17979.02 29337.77 37076.33 30185.10 28349.60 32387.41 26970.54 21177.54 35581.08 342
RPMNet78.88 22378.28 22980.68 22979.58 32262.64 24082.58 20494.16 3174.80 15475.72 30992.59 13148.69 32495.56 3873.48 18382.91 33383.85 305
tpmrst66.28 32166.69 31965.05 33972.82 36739.33 37078.20 27370.69 34453.16 33467.88 34480.36 33548.18 32574.75 34258.13 29970.79 36481.08 342
CR-MVSNet74.00 27573.04 27876.85 28479.58 32262.64 24082.58 20476.90 30150.50 35275.72 30992.38 13848.07 32684.07 30868.72 22982.91 33383.85 305
Patchmtry76.56 25177.46 23573.83 30379.37 32746.60 35982.41 21176.90 30173.81 16585.56 19092.38 13848.07 32683.98 30963.36 26695.31 15590.92 210
ADS-MVSNet265.87 32363.64 32872.55 31173.16 36456.92 30067.10 34674.81 31449.74 35466.04 35082.97 30946.71 32877.26 33442.29 36069.96 36683.46 310
ADS-MVSNet61.90 32862.19 33161.03 34873.16 36436.42 37367.10 34661.75 36449.74 35466.04 35082.97 30946.71 32863.21 36742.29 36069.96 36683.46 310
PatchmatchNetpermissive69.71 30768.83 30872.33 31377.66 33753.60 32079.29 25769.99 34657.66 31272.53 32782.93 31146.45 33080.08 32860.91 28572.09 36283.31 315
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
thres20072.34 28871.55 29374.70 30083.48 28451.60 33675.02 31273.71 32570.14 21878.56 28880.57 33246.20 33188.20 26246.99 35289.29 27484.32 299
sam_mvs146.11 33283.88 302
tfpn200view974.86 26774.23 26676.74 28586.24 24652.12 33179.24 25973.87 32273.34 17281.82 25084.60 29446.02 33388.80 25251.98 33390.99 25289.31 241
thres40075.14 26174.23 26677.86 27186.24 24652.12 33179.24 25973.87 32273.34 17281.82 25084.60 29446.02 33388.80 25251.98 33390.99 25292.66 155
baseline269.77 30666.89 31678.41 26079.51 32458.09 29076.23 30169.57 34857.50 31464.82 35877.45 35046.02 33388.44 25853.08 32677.83 35288.70 253
patchmatchnet-post81.71 32345.93 33687.01 272
sam_mvs45.92 337
Patchmatch-RL test74.48 27173.68 27076.89 28384.83 26266.54 20672.29 32869.16 35057.70 31186.76 16386.33 26145.79 33882.59 31569.63 21790.65 26581.54 335
thres100view90075.45 25975.05 25976.66 28687.27 22251.88 33481.07 23573.26 32875.68 14383.25 22986.37 26045.54 33988.80 25251.98 33390.99 25289.31 241
thres600view775.97 25675.35 25877.85 27287.01 23251.84 33580.45 24173.26 32875.20 15083.10 23286.31 26345.54 33989.05 24855.03 31892.24 23092.66 155
tpm cat166.76 31865.21 32471.42 31577.09 34050.62 34578.01 27473.68 32644.89 36268.64 34079.00 34245.51 34182.42 31849.91 34070.15 36581.23 341
test_post3.10 37645.43 34277.22 335
MDTV_nov1_ep1368.29 31278.03 33443.87 36674.12 31872.22 33552.17 33967.02 34885.54 27245.36 34380.85 32455.73 30984.42 325
tpmvs70.16 30169.56 30571.96 31474.71 35948.13 35179.63 25075.45 31365.02 26970.26 33681.88 32145.34 34485.68 29458.34 29775.39 35882.08 329
MDTV_nov1_ep13_2view27.60 37870.76 33346.47 35961.27 36245.20 34549.18 34383.75 307
test_post178.85 2663.13 37545.19 34680.13 32758.11 300
CostFormer69.98 30568.68 31073.87 30277.14 33950.72 34479.26 25874.51 31751.94 34370.97 33584.75 29145.16 34787.49 26855.16 31779.23 34883.40 312
RRT_MVS83.25 16581.08 19389.74 5480.55 31679.32 8186.41 12586.69 22772.33 19187.00 15991.08 17344.98 34895.55 4184.47 6296.24 12094.36 87
Patchmatch-test65.91 32267.38 31461.48 34775.51 35243.21 36868.84 33963.79 36162.48 28072.80 32683.42 30544.89 34959.52 36948.27 34886.45 30481.70 332
EU-MVSNet75.12 26374.43 26577.18 27883.11 29159.48 27685.71 13582.43 27039.76 36985.64 18888.76 22444.71 35087.88 26473.86 17885.88 31084.16 301
PatchT70.52 29972.76 28163.79 34179.38 32633.53 37577.63 28165.37 35973.61 16771.77 33092.79 12744.38 35175.65 34064.53 26185.37 31382.18 328
test-LLR67.21 31466.74 31868.63 32776.45 34655.21 31167.89 34267.14 35462.43 28265.08 35572.39 36043.41 35269.37 35061.00 28384.89 32081.31 337
test0.0.03 164.66 32564.36 32665.57 33775.03 35746.89 35864.69 35161.58 36662.43 28271.18 33477.54 34843.41 35268.47 35540.75 36482.65 33581.35 336
MVSTER77.09 24375.70 25481.25 21675.27 35561.08 25877.49 28585.07 24960.78 29586.55 16988.68 22643.14 35490.25 22273.69 18190.67 26392.42 164
tpm67.95 31268.08 31367.55 33178.74 33343.53 36775.60 30567.10 35654.92 32572.23 32888.10 23342.87 35575.97 33852.21 33180.95 34483.15 317
tpm268.45 31166.83 31773.30 30578.93 33248.50 35079.76 24971.76 33947.50 35669.92 33883.60 30142.07 35688.40 25948.44 34779.51 34583.01 319
EMVS61.10 33360.81 33461.99 34465.96 37555.86 30653.10 36658.97 36967.06 24756.89 37163.33 36840.98 35767.03 35954.79 31986.18 30863.08 364
new_pmnet55.69 33857.66 34049.76 35475.47 35330.59 37659.56 35851.45 37543.62 36562.49 36175.48 35740.96 35849.15 37337.39 36872.52 36169.55 361
E-PMN61.59 33061.62 33261.49 34666.81 37455.40 30953.77 36560.34 36766.80 25058.90 36865.50 36740.48 35966.12 36355.72 31086.25 30762.95 365
EPMVS62.47 32662.63 33062.01 34370.63 37138.74 37174.76 31452.86 37453.91 33067.71 34680.01 33739.40 36066.60 36155.54 31368.81 36980.68 346
tmp_tt20.25 34324.50 3467.49 3584.47 3818.70 38134.17 36925.16 3811.00 37632.43 37518.49 37339.37 3619.21 37721.64 37443.75 3734.57 373
thisisatest053079.07 22077.33 23884.26 15887.13 22664.58 21883.66 17475.95 30768.86 22985.22 19487.36 24738.10 36293.57 12575.47 16394.28 18694.62 75
ET-MVSNet_ETH3D75.28 26072.77 28082.81 19283.03 29268.11 19377.09 28876.51 30560.67 29777.60 29680.52 33338.04 36391.15 19770.78 20690.68 26289.17 244
tttt051781.07 19379.58 21485.52 13488.99 19066.45 20787.03 11275.51 31273.76 16688.32 13990.20 20037.96 36494.16 10079.36 11995.13 16095.93 42
thisisatest051573.00 28370.52 29780.46 23181.45 30159.90 27273.16 32674.31 31957.86 31076.08 30677.78 34737.60 36592.12 17065.00 25491.45 24589.35 240
FMVSNet572.10 29071.69 29073.32 30481.57 30053.02 32576.77 29278.37 29563.31 27476.37 30091.85 15236.68 36678.98 32947.87 34992.45 22487.95 261
dp60.70 33560.29 33761.92 34572.04 36938.67 37270.83 33264.08 36051.28 34660.75 36377.28 35136.59 36771.58 34847.41 35062.34 37175.52 353
CHOSEN 280x42059.08 33656.52 34166.76 33376.51 34464.39 22149.62 36759.00 36843.86 36455.66 37268.41 36535.55 36868.21 35643.25 35976.78 35767.69 363
IB-MVS62.13 1971.64 29368.97 30779.66 24380.80 31262.26 24873.94 31976.90 30163.27 27568.63 34176.79 35333.83 36991.84 17959.28 29487.26 29884.88 293
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
JIA-IIPM69.41 30866.64 32077.70 27373.19 36371.24 16875.67 30465.56 35870.42 21265.18 35492.97 11933.64 37083.06 31353.52 32569.61 36878.79 349
DWT-MVSNet_test66.43 31964.37 32572.63 30974.86 35850.86 34376.52 29672.74 33154.06 32965.50 35268.30 36632.13 37184.84 30261.63 28073.59 36082.19 327
DeepMVS_CXcopyleft24.13 35732.95 37929.49 37721.63 38212.07 37337.95 37445.07 37230.84 37219.21 37617.94 37533.06 37523.69 372
gg-mvs-nofinetune68.96 31069.11 30668.52 32976.12 34945.32 36183.59 17555.88 37286.68 2664.62 35997.01 730.36 37383.97 31044.78 35782.94 33276.26 352
GG-mvs-BLEND67.16 33273.36 36246.54 36084.15 15655.04 37358.64 36961.95 37029.93 37483.87 31138.71 36776.92 35671.07 359
test_method30.46 34129.60 34433.06 35617.99 3803.84 38213.62 37173.92 3212.79 37418.29 37653.41 37128.53 37543.25 37522.56 37335.27 37452.11 371
test-mter65.00 32463.79 32768.63 32776.45 34655.21 31167.89 34267.14 35450.98 34865.08 35572.39 36028.27 37669.37 35061.00 28384.89 32081.31 337
TESTMET0.1,161.29 33160.32 33664.19 34072.06 36851.30 33867.89 34262.09 36245.27 36160.65 36469.01 36327.93 37764.74 36656.31 30781.65 34076.53 351
test250674.12 27473.39 27476.28 29091.85 12044.20 36584.06 15948.20 37772.30 19381.90 24794.20 7927.22 37889.77 23964.81 25696.02 12794.87 67
pmmvs362.47 32660.02 33869.80 32071.58 37064.00 22570.52 33458.44 37039.77 36866.05 34975.84 35627.10 37972.28 34546.15 35484.77 32473.11 356
KD-MVS_2432*160066.87 31665.81 32170.04 31767.50 37247.49 35562.56 35579.16 29061.21 29177.98 29080.61 33025.29 38082.48 31653.02 32784.92 31880.16 347
miper_refine_blended66.87 31665.81 32170.04 31767.50 37247.49 35562.56 35579.16 29061.21 29177.98 29080.61 33025.29 38082.48 31653.02 32784.92 31880.16 347
test1236.27 3468.08 3490.84 3591.11 3830.57 38362.90 3540.82 3830.54 3771.07 3792.75 3781.26 3820.30 3781.04 3761.26 3771.66 374
testmvs5.91 3477.65 3500.72 3601.20 3820.37 38459.14 3600.67 3840.49 3781.11 3782.76 3770.94 3830.24 3791.02 3771.47 3761.55 375
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
ab-mvs-re6.65 3448.87 3470.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38079.80 3390.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
MSC_two_6792asdad88.81 7191.55 13377.99 9491.01 14296.05 887.45 1998.17 3392.40 166
No_MVS88.81 7191.55 13377.99 9491.01 14296.05 887.45 1998.17 3392.40 166
eth-test20.00 384
eth-test0.00 384
IU-MVS94.18 5072.64 14490.82 14756.98 31789.67 11085.78 4897.92 4893.28 129
save fliter93.75 6477.44 10486.31 12689.72 17770.80 208
test_0728_SECOND86.79 10594.25 4972.45 15290.54 4794.10 3895.88 1686.42 3597.97 4592.02 183
GSMVS83.88 302
test_part293.86 6277.77 9892.84 49
MTGPAbinary91.81 121
MTMP90.66 4433.14 380
gm-plane-assit75.42 35444.97 36452.17 33972.36 36287.90 26354.10 322
test9_res80.83 10096.45 11090.57 220
agg_prior279.68 11396.16 12290.22 227
agg_prior91.58 13077.69 9990.30 16384.32 21093.18 138
test_prior478.97 8584.59 148
test_prior86.32 11390.59 16171.99 15992.85 9394.17 9792.80 147
旧先验281.73 22356.88 31886.54 17484.90 30172.81 193
新几何281.72 224
无先验82.81 19985.62 24058.09 30891.41 19067.95 23684.48 296
原ACMM282.26 217
testdata286.43 28563.52 265
testdata179.62 25173.95 164
plane_prior793.45 7077.31 108
plane_prior593.61 5895.22 5980.78 10195.83 13794.46 82
plane_prior492.95 120
plane_prior376.85 11577.79 11886.55 169
plane_prior289.45 7579.44 97
plane_prior192.83 89
plane_prior76.42 12187.15 11075.94 14095.03 165
n20.00 385
nn0.00 385
door-mid74.45 318
test1191.46 128
door72.57 333
HQP5-MVS70.66 171
HQP-NCC91.19 14484.77 14373.30 17480.55 269
ACMP_Plane91.19 14484.77 14373.30 17480.55 269
BP-MVS77.30 145
HQP4-MVS80.56 26894.61 8093.56 124
HQP3-MVS92.68 9994.47 182
NP-MVS91.95 11474.55 13090.17 203
ACMMP++_ref95.74 143
ACMMP++97.35 79