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 5499.27 199.54 1
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11793.91 4580.07 9086.75 16593.26 11393.64 290.93 20484.60 6290.75 26393.97 103
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 4193.71 117
ACMH+77.89 1190.73 3091.50 2388.44 8393.00 8476.26 12289.65 6995.55 787.72 2393.89 2794.94 4891.62 493.44 13278.35 12898.76 495.61 49
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 5894.27 2382.35 6393.67 3494.82 5291.18 595.52 4385.36 5198.73 795.23 60
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 5291.18 595.52 4385.36 5198.73 795.23 60
PMVScopyleft80.48 690.08 4190.66 4788.34 8696.71 392.97 190.31 5489.57 18288.51 1990.11 9795.12 4590.98 788.92 25377.55 14297.07 8983.13 320
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 7093.35 6679.20 10193.83 2893.60 11090.81 892.96 14985.02 5698.45 1992.41 168
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMH76.49 1489.34 6091.14 3483.96 16792.50 9770.36 17589.55 7193.84 5081.89 6994.70 1395.44 3590.69 988.31 26383.33 7398.30 2693.20 136
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 4490.65 1095.34 5488.06 998.15 3695.95 42
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6790.64 1187.16 2897.60 6892.73 153
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 8094.05 4079.03 10492.87 4793.74 10790.60 1295.21 6182.87 7898.76 494.87 68
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 7193.94 10090.55 1395.73 3188.50 798.23 2995.33 55
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 15997.00 264.33 22389.67 6888.38 19988.84 1594.29 1997.57 390.48 1491.26 19472.57 19797.65 6497.34 15
SED-MVS90.46 3791.64 1986.93 10294.18 5072.65 14390.47 5193.69 5483.77 4494.11 2394.27 7590.28 1595.84 2386.03 4497.92 4992.29 176
test_241102_ONE94.18 5072.65 14393.69 5483.62 4694.11 2393.78 10690.28 1595.50 48
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4294.02 9190.15 1795.67 3486.82 3297.34 8192.19 182
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8385.17 3692.47 2695.05 1587.65 2493.21 4394.39 7390.09 1895.08 6586.67 3397.60 6894.18 94
DVP-MVScopyleft90.06 4391.32 3086.29 11594.16 5372.56 14990.54 4891.01 14283.61 4793.75 3194.65 5789.76 1995.78 2886.42 3497.97 4690.55 225
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 14990.63 4793.90 4683.61 4793.75 3194.49 6489.76 19
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6886.15 2393.37 1095.10 1490.28 992.11 6395.03 4689.75 2194.93 6979.95 11098.27 2795.04 65
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 3994.27 7589.27 2295.84 2386.03 4497.82 5492.04 185
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 5994.14 8689.15 2395.62 3587.35 2398.24 2894.56 78
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 3293.62 5790.14 1193.63 3694.16 8588.83 2495.51 4587.11 3097.54 7492.54 163
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6788.83 2495.51 4587.16 2897.60 6892.73 153
APDe-MVS91.22 2491.92 1389.14 6792.97 8578.04 9292.84 1694.14 3583.33 5193.90 2595.73 2788.77 2696.41 187.60 1697.98 4592.98 144
test_one_060193.85 6373.27 13994.11 3786.57 2793.47 4194.64 6088.42 27
ACMMP_NAP90.65 3191.07 3889.42 6295.93 1679.54 7989.95 6193.68 5677.65 11991.97 6894.89 4988.38 2895.45 5089.27 397.87 5393.27 133
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9894.51 2175.79 14392.94 4594.96 4788.36 2995.01 6790.70 298.40 2095.09 64
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 7493.96 9688.35 3095.56 3987.74 1197.74 6092.85 148
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4693.29 7377.00 12791.47 7493.96 9688.35 3095.56 3984.88 5897.74 6092.85 148
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 8394.00 9288.26 3295.71 3287.28 2698.39 2192.55 162
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3993.48 6382.82 5892.60 5593.97 9388.19 3396.29 487.61 1598.20 3394.39 87
Skip Steuart: Steuart Systems R&D Blog.
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 5893.90 4680.32 8691.74 7294.41 7088.17 3495.98 1186.37 3697.99 4393.96 104
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4896.29 1688.16 3594.17 9986.07 4398.48 1897.22 19
DPE-MVScopyleft90.53 3591.08 3688.88 6993.38 7578.65 8889.15 8194.05 4084.68 3893.90 2594.11 8888.13 3696.30 384.51 6397.81 5591.70 197
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 12192.78 9678.78 10792.51 5693.64 10988.13 3693.84 11384.83 6097.55 7194.10 99
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
pmmvs686.52 9988.06 7881.90 20792.22 10862.28 24884.66 14989.15 18883.54 4989.85 10697.32 488.08 3886.80 28070.43 21497.30 8396.62 29
mvs_tets89.78 5289.27 6391.30 2893.51 7184.79 4189.89 6390.63 15270.00 22094.55 1596.67 1187.94 3993.59 12484.27 6495.97 13095.52 50
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2994.22 2780.14 8991.29 7993.97 9387.93 4095.87 1988.65 497.96 4894.12 98
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8894.21 8087.75 4195.87 1987.60 1697.71 6293.83 109
wuyk23d75.13 26479.30 21862.63 34375.56 35375.18 12880.89 24073.10 33275.06 15394.76 1295.32 3687.73 4252.85 37234.16 37197.11 8759.85 368
mPP-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 10083.09 5491.54 7394.25 7987.67 4395.51 4587.21 2798.11 3793.12 139
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7581.99 6691.40 7694.17 8487.51 4495.87 1987.74 1197.76 5893.99 101
test_0728_THIRD85.33 3293.75 3194.65 5787.44 4595.78 2887.41 2198.21 3192.98 144
9.1489.29 6291.84 12488.80 8895.32 1175.14 15291.07 8292.89 12487.27 4693.78 11583.69 7097.55 71
PS-CasMVS90.06 4391.92 1384.47 15496.56 758.83 28989.04 8292.74 9791.40 596.12 496.06 2287.23 4795.57 3879.42 12098.74 699.00 2
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3793.74 5280.98 7991.38 7793.80 10387.20 4895.80 2587.10 3197.69 6393.93 105
PEN-MVS90.03 4591.88 1684.48 15396.57 658.88 28688.95 8393.19 7791.62 496.01 696.16 2087.02 4995.60 3678.69 12598.72 998.97 3
DTE-MVSNet89.98 4791.91 1584.21 16196.51 857.84 29488.93 8592.84 9491.92 396.16 396.23 1886.95 5095.99 1079.05 12298.57 1598.80 6
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7393.75 6477.44 10386.31 12895.27 1270.80 20892.28 6093.80 10386.89 5194.64 7885.52 4997.51 7694.30 90
SF-MVS90.27 3990.80 4588.68 7892.86 8977.09 11091.19 4295.74 581.38 7492.28 6093.80 10386.89 5194.64 7885.52 4997.51 7694.30 90
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2893.03 8682.59 6088.52 13594.37 7486.74 5395.41 5286.32 3798.21 3193.19 137
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 8491.81 12184.07 4092.00 6694.40 7186.63 5495.28 5788.59 598.31 2492.30 174
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3191.81 12184.07 4092.00 6694.40 7186.63 5495.28 5788.59 598.31 2492.30 174
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 10194.03 9086.57 5695.80 2587.35 2397.62 6694.20 92
X-MVStestdata85.04 12582.70 17092.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 10116.05 37586.57 5695.80 2587.35 2397.62 6694.20 92
canonicalmvs85.50 11586.14 10983.58 17687.97 21067.13 20087.55 10594.32 2273.44 17088.47 13687.54 24686.45 5891.06 20175.76 16393.76 19792.54 163
TranMVSNet+NR-MVSNet87.86 8288.76 7385.18 14094.02 5864.13 22484.38 15691.29 13484.88 3792.06 6593.84 10286.45 5893.73 11673.22 18898.66 1197.69 9
test_040288.65 7089.58 5985.88 12892.55 9572.22 15784.01 16389.44 18488.63 1894.38 1895.77 2686.38 6093.59 12479.84 11195.21 15991.82 194
APD-MVScopyleft89.54 5689.63 5789.26 6592.57 9481.34 6690.19 5693.08 8280.87 8191.13 8193.19 11486.22 6195.97 1282.23 8697.18 8690.45 227
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 12877.07 11189.82 6493.77 5178.90 10592.88 4692.29 14586.11 6290.22 22686.24 4197.24 8491.36 205
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 10880.48 7091.85 11871.22 20590.38 9392.98 11986.06 6396.11 681.99 8896.75 100
jajsoiax89.41 5888.81 7291.19 3293.38 7584.72 4289.70 6590.29 16669.27 22494.39 1796.38 1586.02 6493.52 12883.96 6695.92 13595.34 54
nrg03087.85 8388.49 7485.91 12690.07 17469.73 17887.86 10294.20 2874.04 16292.70 5494.66 5685.88 6591.50 18579.72 11497.32 8296.50 32
SMA-MVScopyleft90.31 3890.48 4989.83 5295.31 3179.52 8090.98 4493.24 7675.37 15092.84 4995.28 3785.58 6696.09 787.92 1097.76 5893.88 107
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 6979.07 8388.54 9494.20 2873.53 16889.71 11094.82 5285.09 6795.77 3084.17 6598.03 4093.26 134
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 10580.80 6990.14 5793.54 6183.37 5090.57 9292.55 13684.99 6896.15 581.26 9496.61 10491.83 193
GeoE85.45 11785.81 11584.37 15590.08 17267.07 20185.86 13491.39 13272.33 19287.59 14990.25 20084.85 6992.37 16478.00 13691.94 24093.66 119
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 14291.10 197.53 7596.58 31
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 7189.01 6687.36 9891.30 14277.50 10187.55 10592.97 8987.95 2289.62 11492.87 12584.56 7193.89 11077.65 14096.62 10390.70 219
LS3D90.60 3390.34 5091.38 2789.03 19084.23 4793.58 694.68 1990.65 790.33 9593.95 9984.50 7295.37 5380.87 10095.50 15094.53 81
ETH3D-3000-0.188.85 6988.96 6988.52 7991.94 11877.27 10988.71 9095.26 1376.08 13490.66 9192.69 13184.48 7393.83 11483.38 7297.48 7894.47 82
DROMVSNet88.01 7888.32 7687.09 10089.28 18572.03 15990.31 5496.31 380.88 8085.12 19689.67 21284.47 7495.46 4982.56 8196.26 12193.77 115
anonymousdsp89.73 5388.88 7092.27 989.82 17886.67 1790.51 5090.20 16969.87 22195.06 1196.14 2184.28 7593.07 14787.68 1396.34 11697.09 21
OMC-MVS88.19 7587.52 8690.19 4991.94 11881.68 6387.49 10793.17 7876.02 13788.64 13291.22 17084.24 7693.37 13577.97 13897.03 9095.52 50
CS-MVS88.14 7687.67 8489.54 6189.56 18079.18 8290.47 5194.77 1879.37 9984.32 21189.33 21883.87 7794.53 8582.45 8294.89 17294.90 66
ETH3D cwj APD-0.1687.83 8487.62 8588.47 8191.21 14578.20 9087.26 10994.54 2072.05 19688.89 12692.31 14483.86 7894.24 9381.59 9396.87 9492.97 147
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 13193.60 6080.16 8889.13 12593.44 11183.82 7990.98 20283.86 6895.30 15893.60 124
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7593.98 4279.68 9392.09 6493.89 10183.80 8093.10 14682.67 8098.04 3893.64 122
CDPH-MVS86.17 10785.54 12188.05 9192.25 10675.45 12683.85 16992.01 11265.91 25786.19 17791.75 16083.77 8194.98 6877.43 14596.71 10193.73 116
Effi-MVS+83.90 15684.01 15383.57 17787.22 22665.61 21386.55 12692.40 10378.64 11081.34 26284.18 30083.65 8292.93 15174.22 17487.87 29592.17 183
MVS_111021_HR84.63 13284.34 14985.49 13790.18 17175.86 12479.23 26487.13 22073.35 17185.56 19189.34 21783.60 8390.50 21976.64 15294.05 19390.09 235
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9588.22 2088.53 13497.64 283.45 8494.55 8486.02 4698.60 1396.67 28
AdaColmapbinary83.66 15983.69 15883.57 17790.05 17572.26 15686.29 13090.00 17478.19 11581.65 25687.16 25483.40 8594.24 9361.69 28094.76 17884.21 302
LCM-MVSNet-Re83.48 16385.06 12878.75 25585.94 25555.75 31080.05 24894.27 2376.47 13096.09 594.54 6283.31 8689.75 24259.95 29194.89 17290.75 217
Regformer-286.74 9686.08 11088.73 7484.18 27979.20 8183.52 17989.33 18683.33 5189.92 10585.07 28983.23 8793.16 14283.39 7192.72 22393.83 109
TransMVSNet (Re)84.02 15285.74 11778.85 25391.00 15355.20 31582.29 21787.26 21679.65 9488.38 13995.52 3483.00 8886.88 27867.97 23796.60 10594.45 85
CNVR-MVS87.81 8587.68 8388.21 8892.87 8777.30 10885.25 14191.23 13677.31 12487.07 15991.47 16682.94 8994.71 7584.67 6196.27 12092.62 160
DeepPCF-MVS81.24 587.28 8886.21 10890.49 4391.48 13984.90 3983.41 18492.38 10570.25 21789.35 12290.68 19082.85 9094.57 8279.55 11695.95 13292.00 187
v7n90.13 4090.96 4187.65 9591.95 11671.06 17089.99 6093.05 8386.53 2894.29 1996.27 1782.69 9194.08 10386.25 4097.63 6597.82 8
AllTest87.97 8087.40 8989.68 5591.59 12983.40 5089.50 7495.44 979.47 9588.00 14493.03 11782.66 9291.47 18670.81 20696.14 12494.16 95
TestCases89.68 5591.59 12983.40 5095.44 979.47 9588.00 14493.03 11782.66 9291.47 18670.81 20696.14 12494.16 95
RPSCF88.00 7986.93 9791.22 3190.08 17289.30 589.68 6791.11 13979.26 10089.68 11194.81 5582.44 9487.74 26776.54 15488.74 28596.61 30
CS-MVS-test87.00 9186.43 10388.71 7689.46 18177.46 10289.42 7895.73 677.87 11781.64 25787.25 25282.43 9594.53 8577.65 14096.46 11194.14 97
ITE_SJBPF90.11 5090.72 16084.97 3890.30 16381.56 7290.02 10091.20 17282.40 9690.81 21073.58 18494.66 17994.56 78
Fast-Effi-MVS+81.04 19580.57 19882.46 20287.50 22163.22 23378.37 27589.63 18068.01 23981.87 25082.08 32282.31 9792.65 15867.10 24088.30 29191.51 203
baseline85.20 12085.93 11283.02 18786.30 24662.37 24684.55 15193.96 4374.48 15987.12 15592.03 15082.30 9891.94 17578.39 12694.21 18994.74 75
casdiffmvs85.21 11985.85 11483.31 18186.17 25262.77 23983.03 19593.93 4474.69 15688.21 14292.68 13282.29 9991.89 17877.87 13993.75 19995.27 58
Anonymous2023121188.40 7289.62 5884.73 14990.46 16665.27 21488.86 8693.02 8787.15 2593.05 4497.10 682.28 10092.02 17476.70 15197.99 4396.88 25
Regformer-186.00 10885.50 12287.49 9684.18 27976.90 11383.52 17987.94 21082.18 6589.19 12385.07 28982.28 10091.89 17882.40 8492.72 22393.69 118
Anonymous2024052986.20 10687.13 9183.42 17990.19 17064.55 22184.55 15190.71 14985.85 3189.94 10495.24 4082.13 10290.40 22169.19 22596.40 11495.31 56
agg_prior185.72 11385.20 12687.28 9991.58 13277.69 9883.69 17590.30 16366.29 25584.32 21191.07 17682.13 10293.18 14081.02 9796.36 11590.98 210
Regformer-486.41 10085.71 11888.52 7984.27 27577.57 10084.07 16088.00 20882.82 5889.84 10785.48 27782.06 10492.77 15583.83 6991.04 25295.22 62
CLD-MVS83.18 16882.64 17284.79 14689.05 18967.82 19877.93 27992.52 10168.33 23585.07 19781.54 32782.06 10492.96 14969.35 22197.91 5193.57 125
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
TEST992.34 10179.70 7783.94 16590.32 16065.41 26884.49 20790.97 17982.03 10693.63 120
segment_acmp81.94 107
train_agg85.98 11085.28 12588.07 9092.34 10179.70 7783.94 16590.32 16065.79 25884.49 20790.97 17981.93 10893.63 12081.21 9596.54 10790.88 214
test_892.09 11278.87 8583.82 17090.31 16265.79 25884.36 21090.96 18181.93 10893.44 132
test_prior386.31 10286.31 10586.32 11390.59 16371.99 16083.37 18592.85 9275.43 14784.58 20591.57 16281.92 11094.17 9979.54 11796.97 9192.80 150
test_prior283.37 18575.43 14784.58 20591.57 16281.92 11079.54 11796.97 91
EGC-MVSNET74.79 27169.99 30589.19 6694.89 3987.00 1491.89 3686.28 2321.09 3762.23 37895.98 2381.87 11289.48 24379.76 11395.96 13191.10 208
CP-MVSNet89.27 6190.91 4384.37 15596.34 958.61 29188.66 9292.06 11190.78 695.67 795.17 4381.80 11395.54 4279.00 12398.69 1098.95 4
MVS_111021_LR84.28 14383.76 15785.83 13089.23 18783.07 5380.99 23983.56 26472.71 18486.07 18189.07 22481.75 11486.19 29077.11 14893.36 20488.24 257
test_djsdf89.62 5489.01 6691.45 2592.36 10082.98 5591.98 3290.08 17271.54 20094.28 2196.54 1381.57 11594.27 9086.26 3896.49 10997.09 21
cdsmvs_eth3d_5k20.81 34327.75 3460.00 3620.00 3850.00 3860.00 37385.44 2430.00 3800.00 38182.82 31581.46 1160.00 3810.00 3790.00 3790.00 377
WR-MVS_H89.91 5091.31 3185.71 13296.32 1062.39 24589.54 7393.31 7090.21 1095.57 995.66 3081.42 11795.90 1580.94 9998.80 398.84 5
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 3092.30 10679.74 9287.50 15192.38 14081.42 11793.28 13783.07 7597.24 8491.67 198
pm-mvs183.69 15884.95 13179.91 24090.04 17659.66 27682.43 21387.44 21375.52 14687.85 14695.26 3981.25 11985.65 29768.74 23096.04 12794.42 86
DVP-MVS++90.07 4291.09 3587.00 10191.55 13572.64 14596.19 294.10 3885.33 3293.49 3994.64 6081.12 12095.88 1787.41 2195.94 13392.48 165
OPU-MVS88.27 8791.89 12077.83 9690.47 5191.22 17081.12 12094.68 7674.48 17295.35 15392.29 176
ETH3 D test640085.09 12384.87 13285.75 13190.80 15869.34 18285.90 13293.31 7065.43 26486.11 18089.95 20680.92 12294.86 7175.90 16195.57 14893.05 141
NCCC87.36 8786.87 9888.83 7092.32 10378.84 8686.58 12591.09 14078.77 10884.85 20290.89 18380.85 12395.29 5581.14 9695.32 15592.34 172
TAPA-MVS77.73 1285.71 11484.83 13388.37 8588.78 19679.72 7687.15 11293.50 6269.17 22585.80 18789.56 21380.76 12492.13 17073.21 19395.51 14993.25 135
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
Fast-Effi-MVS+-dtu82.54 17581.41 19085.90 12785.60 25676.53 11883.07 19489.62 18173.02 18179.11 28683.51 30580.74 12590.24 22568.76 22989.29 27690.94 212
PC_three_145258.96 30590.06 9891.33 16880.66 12693.03 14875.78 16295.94 13392.48 165
VPA-MVSNet83.47 16484.73 13479.69 24490.29 16857.52 29781.30 23588.69 19476.29 13187.58 15094.44 6680.60 12787.20 27366.60 24596.82 9894.34 89
Regformer-385.06 12484.67 13986.22 11884.27 27573.43 13784.07 16085.26 24780.77 8288.62 13385.48 27780.56 12890.39 22281.99 8891.04 25294.85 72
ETV-MVS84.31 14183.91 15685.52 13588.58 19970.40 17484.50 15593.37 6478.76 10984.07 22078.72 34680.39 12995.13 6373.82 18192.98 21691.04 209
HPM-MVS++copyleft88.93 6888.45 7590.38 4594.92 3785.85 3089.70 6591.27 13578.20 11486.69 16892.28 14680.36 13095.06 6686.17 4296.49 10990.22 230
ANet_high83.17 16985.68 11975.65 29681.24 30745.26 36379.94 25092.91 9083.83 4391.33 7896.88 1080.25 13185.92 29368.89 22895.89 13695.76 44
EI-MVSNet-Vis-set85.12 12284.53 14286.88 10384.01 28272.76 14283.91 16885.18 24980.44 8388.75 13085.49 27680.08 13291.92 17682.02 8790.85 26195.97 40
DeepC-MVS_fast80.27 886.23 10485.65 12087.96 9291.30 14276.92 11287.19 11091.99 11370.56 21184.96 19890.69 18980.01 13395.14 6278.37 12795.78 14391.82 194
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 12584.44 14486.85 10483.87 28572.52 15183.82 17085.15 25080.27 8788.75 13085.45 28079.95 13491.90 17781.92 9090.80 26296.13 35
MCST-MVS84.36 13983.93 15585.63 13391.59 12971.58 16783.52 17992.13 10961.82 28683.96 22189.75 21179.93 13593.46 13178.33 12994.34 18691.87 192
TSAR-MVS + MP.88.14 7687.82 8189.09 6895.72 2276.74 11592.49 2591.19 13867.85 24486.63 16994.84 5179.58 13695.96 1387.62 1494.50 18294.56 78
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 15972.63 14790.69 15082.76 23679.20 13794.80 7395.32 15592.27 178
CSCG86.26 10386.47 10285.60 13490.87 15674.26 13387.98 9991.85 11880.35 8589.54 12088.01 23779.09 13892.13 17075.51 16495.06 16690.41 228
Test By Simon79.09 138
PHI-MVS86.38 10185.81 11588.08 8988.44 20377.34 10689.35 7993.05 8373.15 17984.76 20387.70 24378.87 14094.18 9780.67 10496.29 11792.73 153
EG-PatchMatch MVS84.08 15084.11 15183.98 16692.22 10872.61 14882.20 22387.02 22572.63 18588.86 12791.02 17778.52 14191.11 19973.41 18691.09 25088.21 258
dcpmvs_284.23 14685.14 12781.50 21588.61 19861.98 25182.90 20093.11 7968.66 23392.77 5292.39 13978.50 14287.63 26976.99 15092.30 22894.90 66
Effi-MVS+-dtu85.82 11283.38 16093.14 387.13 22891.15 287.70 10488.42 19774.57 15783.56 22785.65 27478.49 14394.21 9572.04 20092.88 21894.05 100
mvs-test184.55 13582.12 17991.84 2087.13 22889.54 485.05 14488.42 19774.57 15780.60 26882.98 31078.49 14393.98 10772.04 20089.77 27292.00 187
Vis-MVSNetpermissive86.86 9386.58 10187.72 9392.09 11277.43 10587.35 10892.09 11078.87 10684.27 21794.05 8978.35 14593.65 11880.54 10691.58 24692.08 184
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
UniMVSNet_NR-MVSNet86.84 9487.06 9386.17 12292.86 8967.02 20282.55 20991.56 12583.08 5590.92 8591.82 15778.25 14693.99 10574.16 17598.35 2297.49 13
MSLP-MVS++85.00 12786.03 11181.90 20791.84 12471.56 16886.75 12293.02 8775.95 14087.12 15589.39 21677.98 14789.40 24877.46 14394.78 17584.75 297
API-MVS82.28 17882.61 17381.30 21786.29 24769.79 17688.71 9087.67 21278.42 11382.15 24584.15 30177.98 14791.59 18465.39 25492.75 22082.51 327
DP-MVS Recon84.05 15183.22 16286.52 11091.73 12775.27 12783.23 19192.40 10372.04 19782.04 24788.33 23377.91 14993.95 10866.17 24795.12 16490.34 229
UniMVSNet (Re)86.87 9286.98 9686.55 10993.11 8268.48 19183.80 17292.87 9180.37 8489.61 11691.81 15877.72 15094.18 9775.00 17198.53 1696.99 24
PCF-MVS74.62 1582.15 18180.92 19785.84 12989.43 18272.30 15580.53 24391.82 12057.36 31787.81 14789.92 20877.67 15193.63 12058.69 29695.08 16591.58 201
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
NR-MVSNet86.00 10886.22 10785.34 13893.24 7964.56 22082.21 22190.46 15580.99 7888.42 13791.97 15177.56 15293.85 11172.46 19898.65 1297.61 10
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14481.66 6491.25 4094.13 3688.89 1388.83 12994.26 7877.55 15395.86 2284.88 5895.87 13795.24 59
MVS_Test82.47 17683.22 16280.22 23782.62 29757.75 29682.54 21091.96 11571.16 20682.89 23592.52 13877.41 15490.50 21980.04 10987.84 29692.40 169
EIA-MVS82.19 18081.23 19385.10 14287.95 21169.17 18883.22 19293.33 6770.42 21378.58 28979.77 34377.29 15594.20 9671.51 20388.96 28191.93 191
xiu_mvs_v2_base77.19 24476.75 24678.52 25987.01 23461.30 25675.55 31087.12 22361.24 29274.45 32078.79 34577.20 15690.93 20464.62 26284.80 32583.32 316
DU-MVS86.80 9586.99 9586.21 12093.24 7967.02 20283.16 19392.21 10781.73 7090.92 8591.97 15177.20 15693.99 10574.16 17598.35 2297.61 10
Baseline_NR-MVSNet84.00 15385.90 11378.29 26591.47 14053.44 32482.29 21787.00 22879.06 10389.55 11895.72 2977.20 15686.14 29172.30 19998.51 1795.28 57
TinyColmap81.25 19282.34 17877.99 27085.33 26060.68 26882.32 21688.33 20171.26 20486.97 16192.22 14977.10 15986.98 27762.37 27395.17 16186.31 281
F-COLMAP84.97 12883.42 15989.63 5792.39 9983.40 5088.83 8791.92 11673.19 17880.18 27789.15 22277.04 16093.28 13765.82 25292.28 23192.21 181
114514_t83.10 17082.54 17584.77 14892.90 8669.10 18986.65 12390.62 15354.66 32881.46 25990.81 18676.98 16194.38 8972.62 19696.18 12290.82 216
xiu_mvs_v1_base_debu80.84 19880.14 20982.93 19088.31 20471.73 16379.53 25587.17 21765.43 26479.59 27982.73 31776.94 16290.14 23173.22 18888.33 28786.90 276
xiu_mvs_v1_base80.84 19880.14 20982.93 19088.31 20471.73 16379.53 25587.17 21765.43 26479.59 27982.73 31776.94 16290.14 23173.22 18888.33 28786.90 276
xiu_mvs_v1_base_debi80.84 19880.14 20982.93 19088.31 20471.73 16379.53 25587.17 21765.43 26479.59 27982.73 31776.94 16290.14 23173.22 18888.33 28786.90 276
pcd_1.5k_mvsjas6.41 3468.55 3490.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 38076.94 1620.00 3810.00 3790.00 3790.00 377
PS-MVSNAJss88.31 7387.90 7989.56 6093.31 7777.96 9587.94 10191.97 11470.73 21094.19 2296.67 1176.94 16294.57 8283.07 7596.28 11896.15 34
PS-MVSNAJ77.04 24676.53 24878.56 25887.09 23361.40 25475.26 31287.13 22061.25 29174.38 32277.22 35476.94 16290.94 20364.63 26184.83 32483.35 315
MIMVSNet183.63 16084.59 14080.74 22894.06 5762.77 23982.72 20384.53 26077.57 12190.34 9495.92 2476.88 16885.83 29561.88 27897.42 7993.62 123
原ACMM184.60 15292.81 9274.01 13491.50 12762.59 28082.73 23790.67 19176.53 16994.25 9269.24 22295.69 14685.55 288
MSDG80.06 21879.99 21380.25 23683.91 28468.04 19677.51 28789.19 18777.65 11981.94 24883.45 30776.37 17086.31 28863.31 26986.59 30586.41 279
Gipumacopyleft84.44 13886.33 10478.78 25484.20 27873.57 13689.55 7190.44 15684.24 3984.38 20994.89 4976.35 17180.40 32776.14 15896.80 9982.36 328
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
XXY-MVS74.44 27576.19 25169.21 32484.61 26752.43 33271.70 33177.18 30260.73 29880.60 26890.96 18175.44 17269.35 35356.13 30988.33 28785.86 286
FMVSNet184.55 13585.45 12381.85 20990.27 16961.05 26086.83 11888.27 20378.57 11189.66 11395.64 3175.43 17390.68 21469.09 22695.33 15493.82 111
CANet83.79 15782.85 16886.63 10786.17 25272.21 15883.76 17391.43 12977.24 12574.39 32187.45 24875.36 17495.42 5177.03 14992.83 21992.25 180
ab-mvs79.67 21980.56 19976.99 28188.48 20156.93 30184.70 14886.06 23668.95 22980.78 26793.08 11675.30 17584.62 30556.78 30590.90 25989.43 241
patch_mono-278.89 22379.39 21777.41 27984.78 26568.11 19475.60 30783.11 26660.96 29579.36 28289.89 20975.18 17672.97 34573.32 18792.30 22891.15 207
DELS-MVS81.44 19081.25 19182.03 20584.27 27562.87 23876.47 30092.49 10270.97 20781.64 25783.83 30275.03 17792.70 15674.29 17392.22 23490.51 226
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 22578.10 23381.07 22285.17 26160.22 27182.21 22190.57 15462.51 28175.32 31684.61 29674.99 17892.30 16759.48 29488.04 29390.68 220
CNLPA83.55 16283.10 16684.90 14489.34 18483.87 4884.54 15388.77 19279.09 10283.54 22888.66 23074.87 17981.73 32166.84 24392.29 23089.11 247
HQP_MVS87.75 8687.43 8888.70 7793.45 7276.42 12089.45 7693.61 5879.44 9786.55 17092.95 12274.84 18095.22 5980.78 10295.83 13894.46 83
plane_prior692.61 9376.54 11674.84 180
FC-MVSNet-test85.93 11187.05 9482.58 19892.25 10656.44 30585.75 13593.09 8177.33 12391.94 6994.65 5774.78 18293.41 13475.11 17098.58 1497.88 7
VDD-MVS84.23 14684.58 14183.20 18491.17 14965.16 21683.25 18984.97 25779.79 9187.18 15494.27 7574.77 18390.89 20769.24 22296.54 10793.55 128
BH-untuned80.96 19680.99 19580.84 22788.55 20068.23 19280.33 24688.46 19672.79 18386.55 17086.76 25974.72 18491.77 18261.79 27988.99 28082.52 326
VPNet80.25 21281.68 18575.94 29592.46 9847.98 35476.70 29681.67 27973.45 16984.87 20192.82 12674.66 18586.51 28561.66 28196.85 9593.33 130
tfpnnormal81.79 18782.95 16778.31 26388.93 19355.40 31180.83 24282.85 26976.81 12885.90 18694.14 8674.58 18686.51 28566.82 24495.68 14793.01 143
KD-MVS_self_test81.93 18683.14 16578.30 26484.75 26652.75 32880.37 24589.42 18570.24 21890.26 9693.39 11274.55 18786.77 28168.61 23296.64 10295.38 53
V4283.47 16483.37 16183.75 17283.16 29163.33 23181.31 23390.23 16869.51 22390.91 8790.81 18674.16 18892.29 16880.06 10890.22 26995.62 48
3Dnovator80.37 784.80 13084.71 13785.06 14386.36 24474.71 13088.77 8990.00 17475.65 14584.96 19893.17 11574.06 18991.19 19678.28 13091.09 25089.29 245
v1086.54 9887.10 9284.84 14588.16 20963.28 23286.64 12492.20 10875.42 14992.81 5194.50 6374.05 19094.06 10483.88 6796.28 11897.17 20
旧先验191.97 11571.77 16281.78 27891.84 15573.92 19193.65 20183.61 310
mvs_anonymous78.13 23578.76 22476.23 29479.24 33050.31 34778.69 27084.82 25861.60 29083.09 23492.82 12673.89 19287.01 27468.33 23586.41 30791.37 204
MAR-MVS80.24 21378.74 22584.73 14986.87 23878.18 9185.75 13587.81 21165.67 26377.84 29478.50 34773.79 19390.53 21861.59 28290.87 26085.49 290
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 14085.39 12481.25 21895.13 3359.32 27985.42 14081.11 28186.41 2987.41 15296.21 1973.61 19490.61 21766.33 24696.85 9593.81 114
FIs85.35 11886.27 10682.60 19791.86 12157.31 29885.10 14393.05 8375.83 14291.02 8493.97 9373.57 19592.91 15373.97 17898.02 4197.58 12
v114484.54 13784.72 13684.00 16587.67 21762.55 24382.97 19790.93 14570.32 21689.80 10890.99 17873.50 19693.48 13081.69 9294.65 18095.97 40
diffmvs80.40 20780.48 20280.17 23879.02 33360.04 27277.54 28690.28 16766.65 25382.40 24087.33 25173.50 19687.35 27277.98 13789.62 27493.13 138
PAPM_NR83.23 16783.19 16483.33 18090.90 15565.98 21088.19 9790.78 14878.13 11680.87 26687.92 24173.49 19892.42 16170.07 21688.40 28691.60 200
v886.22 10586.83 9984.36 15787.82 21362.35 24786.42 12791.33 13376.78 12992.73 5394.48 6573.41 19993.72 11783.10 7495.41 15197.01 23
EI-MVSNet82.61 17382.42 17783.20 18483.25 28963.66 22783.50 18285.07 25176.06 13586.55 17085.10 28673.41 19990.25 22378.15 13590.67 26595.68 46
IterMVS-LS84.73 13184.98 13083.96 16787.35 22363.66 22783.25 18989.88 17676.06 13589.62 11492.37 14373.40 20192.52 16078.16 13394.77 17795.69 45
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v14419284.24 14584.41 14683.71 17387.59 22061.57 25382.95 19891.03 14167.82 24589.80 10890.49 19573.28 20293.51 12981.88 9194.89 17296.04 39
BH-RMVSNet80.53 20380.22 20781.49 21687.19 22766.21 20977.79 28286.23 23474.21 16183.69 22388.50 23173.25 20390.75 21163.18 27087.90 29487.52 268
PLCcopyleft73.85 1682.09 18280.31 20387.45 9790.86 15780.29 7285.88 13390.65 15168.17 23776.32 30486.33 26473.12 20492.61 15961.40 28390.02 27189.44 240
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 8180.37 7191.91 3593.11 7981.10 7795.32 1097.24 572.94 20594.85 7285.07 5497.78 5697.26 16
WR-MVS83.56 16184.40 14781.06 22393.43 7454.88 31678.67 27185.02 25481.24 7590.74 8991.56 16472.85 20691.08 20068.00 23698.04 3897.23 18
VNet79.31 22080.27 20476.44 28987.92 21253.95 32075.58 30984.35 26174.39 16082.23 24390.72 18872.84 20784.39 30760.38 29093.98 19490.97 211
QAPM82.59 17482.59 17482.58 19886.44 23966.69 20589.94 6290.36 15967.97 24184.94 20092.58 13572.71 20892.18 16970.63 21287.73 29788.85 254
v119284.57 13484.69 13884.21 16187.75 21562.88 23783.02 19691.43 12969.08 22789.98 10390.89 18372.70 20993.62 12382.41 8394.97 16996.13 35
OpenMVScopyleft76.72 1381.98 18582.00 18281.93 20684.42 27168.22 19388.50 9589.48 18366.92 25081.80 25491.86 15372.59 21090.16 22871.19 20591.25 24987.40 270
TSAR-MVS + GP.83.95 15482.69 17187.72 9389.27 18681.45 6583.72 17481.58 28074.73 15585.66 18886.06 26972.56 21192.69 15775.44 16695.21 15989.01 253
alignmvs83.94 15583.98 15483.80 16987.80 21467.88 19784.54 15391.42 13173.27 17788.41 13887.96 23872.33 21290.83 20976.02 16094.11 19192.69 157
HQP2-MVS72.10 213
HQP-MVS84.61 13384.06 15286.27 11691.19 14670.66 17284.77 14592.68 9873.30 17480.55 27190.17 20472.10 21394.61 8077.30 14694.47 18393.56 126
testgi72.36 28974.61 26365.59 33780.56 31842.82 37068.29 34273.35 32966.87 25181.84 25189.93 20772.08 21566.92 36146.05 35692.54 22587.01 275
v192192084.23 14684.37 14883.79 17087.64 21961.71 25282.91 19991.20 13767.94 24290.06 9890.34 19772.04 21693.59 12482.32 8594.91 17096.07 37
MSP-MVS89.08 6588.16 7791.83 2195.76 1886.14 2492.75 1793.90 4678.43 11289.16 12492.25 14772.03 21796.36 288.21 890.93 25892.98 144
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 17281.93 18385.19 13982.08 29880.15 7385.53 13888.76 19368.01 23985.58 19087.75 24271.80 21886.85 27974.02 17793.87 19688.58 256
v124084.30 14284.51 14383.65 17487.65 21861.26 25782.85 20191.54 12667.94 24290.68 9090.65 19271.71 21993.64 11982.84 7994.78 17596.07 37
ambc82.98 18890.55 16564.86 21788.20 9689.15 18889.40 12193.96 9671.67 22091.38 19378.83 12496.55 10692.71 156
112180.86 19779.81 21484.02 16493.93 6078.70 8781.64 22880.18 28855.43 32583.67 22491.15 17371.29 22191.41 19167.95 23893.06 21381.96 331
新几何182.95 18993.96 5978.56 8980.24 28755.45 32483.93 22291.08 17571.19 22288.33 26265.84 25193.07 21281.95 332
v14882.31 17782.48 17681.81 21285.59 25759.66 27681.47 23186.02 23772.85 18288.05 14390.65 19270.73 22390.91 20675.15 16991.79 24194.87 68
v2v48284.09 14984.24 15083.62 17587.13 22861.40 25482.71 20489.71 17872.19 19589.55 11891.41 16770.70 22493.20 13981.02 9793.76 19796.25 33
UGNet82.78 17181.64 18686.21 12086.20 25176.24 12386.86 11685.68 24177.07 12673.76 32492.82 12669.64 22591.82 18169.04 22793.69 20090.56 224
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 18881.59 18881.79 21380.86 31359.15 28378.61 27290.18 17068.36 23487.20 15387.11 25669.39 22691.62 18378.16 13394.43 18594.60 77
MG-MVS80.32 21180.94 19678.47 26188.18 20752.62 33182.29 21785.01 25572.01 19879.24 28592.54 13769.36 22793.36 13670.65 21189.19 27989.45 239
IS-MVSNet86.66 9786.82 10086.17 12292.05 11466.87 20491.21 4188.64 19586.30 3089.60 11792.59 13369.22 22894.91 7073.89 17997.89 5296.72 26
PVSNet_BlendedMVS78.80 22777.84 23481.65 21484.43 26963.41 22979.49 25890.44 15661.70 28975.43 31487.07 25769.11 22991.44 18860.68 28892.24 23290.11 234
PVSNet_Blended76.49 25475.40 25879.76 24284.43 26963.41 22975.14 31390.44 15657.36 31775.43 31478.30 34869.11 22991.44 18860.68 28887.70 29884.42 300
BH-w/o76.57 25276.07 25378.10 26886.88 23765.92 21177.63 28486.33 23165.69 26280.89 26579.95 34068.97 23190.74 21253.01 33085.25 31777.62 351
MVS73.21 28372.59 28575.06 30080.97 31060.81 26681.64 22885.92 23946.03 36171.68 33377.54 35068.47 23289.77 24055.70 31285.39 31474.60 356
miper_ehance_all_eth80.34 21080.04 21281.24 22079.82 32358.95 28577.66 28389.66 17965.75 26185.99 18585.11 28568.29 23391.42 19076.03 15992.03 23693.33 130
Anonymous20240521180.51 20481.19 19478.49 26088.48 20157.26 29976.63 29782.49 27181.21 7684.30 21592.24 14867.99 23486.24 28962.22 27495.13 16291.98 190
testdata79.54 24792.87 8772.34 15480.14 28959.91 30385.47 19391.75 16067.96 23585.24 29968.57 23492.18 23581.06 345
test_part187.15 9087.82 8185.15 14188.88 19463.04 23587.98 9994.85 1682.52 6193.61 3895.73 2767.51 23695.71 3280.48 10798.83 296.69 27
DPM-MVS80.10 21779.18 21982.88 19390.71 16169.74 17778.87 26890.84 14660.29 30175.64 31385.92 27267.28 23793.11 14571.24 20491.79 24185.77 287
PVSNet_Blended_VisFu81.55 18980.49 20184.70 15191.58 13273.24 14084.21 15791.67 12462.86 27980.94 26487.16 25467.27 23892.87 15469.82 21888.94 28287.99 262
MDA-MVSNet-bldmvs77.47 24176.90 24579.16 25179.03 33264.59 21866.58 34975.67 31273.15 17988.86 12788.99 22566.94 23981.23 32364.71 25988.22 29291.64 199
CL-MVSNet_self_test76.81 24977.38 23875.12 29986.90 23651.34 33973.20 32680.63 28668.30 23681.80 25488.40 23266.92 24080.90 32455.35 31694.90 17193.12 139
test22293.31 7776.54 11679.38 25977.79 29952.59 33782.36 24190.84 18566.83 24191.69 24381.25 340
TR-MVS76.77 25075.79 25479.72 24386.10 25465.79 21277.14 29083.02 26765.20 26981.40 26082.10 32166.30 24290.73 21355.57 31385.27 31682.65 322
OpenMVS_ROBcopyleft70.19 1777.77 24077.46 23678.71 25684.39 27261.15 25881.18 23782.52 27062.45 28383.34 22987.37 24966.20 24388.66 25964.69 26085.02 31986.32 280
EPP-MVSNet85.47 11685.04 12986.77 10691.52 13869.37 18191.63 3887.98 20981.51 7387.05 16091.83 15666.18 24495.29 5570.75 20996.89 9395.64 47
mvsmamba87.87 8187.23 9089.78 5392.31 10476.51 11991.09 4391.87 11772.61 18692.16 6295.23 4166.01 24595.59 3786.02 4697.78 5697.24 17
SixPastTwentyTwo87.20 8987.45 8786.45 11192.52 9669.19 18787.84 10388.05 20681.66 7194.64 1496.53 1465.94 24694.75 7483.02 7796.83 9795.41 52
PatchMatch-RL74.48 27373.22 27878.27 26687.70 21685.26 3575.92 30570.09 34664.34 27376.09 30781.25 32965.87 24778.07 33353.86 32483.82 32971.48 359
EPNet80.37 20878.41 23086.23 11776.75 34473.28 13887.18 11177.45 30176.24 13368.14 34488.93 22665.41 24893.85 11169.47 22096.12 12691.55 202
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
RRT_MVS88.30 7487.83 8089.70 5493.62 7075.70 12592.36 2789.06 19077.34 12293.63 3695.83 2565.40 24995.90 1585.01 5798.23 2997.49 13
PM-MVS80.20 21479.00 22083.78 17188.17 20886.66 1881.31 23366.81 35869.64 22288.33 14090.19 20264.58 25083.63 31371.99 20290.03 27081.06 345
miper_enhance_ethall77.83 23776.93 24480.51 23276.15 35058.01 29375.47 31188.82 19158.05 31183.59 22680.69 33164.41 25191.20 19573.16 19492.03 23692.33 173
eth_miper_zixun_eth80.84 19880.22 20782.71 19581.41 30560.98 26377.81 28190.14 17167.31 24886.95 16287.24 25364.26 25292.31 16675.23 16891.61 24494.85 72
test20.0373.75 27974.59 26571.22 31781.11 30951.12 34370.15 33772.10 33770.42 21380.28 27691.50 16564.21 25374.72 34446.96 35494.58 18187.82 267
cascas76.29 25774.81 26280.72 23084.47 26862.94 23673.89 32187.34 21455.94 32275.16 31876.53 35763.97 25491.16 19765.00 25690.97 25788.06 260
TAMVS78.08 23676.36 24983.23 18290.62 16272.87 14179.08 26580.01 29061.72 28881.35 26186.92 25863.96 25588.78 25750.61 33893.01 21588.04 261
GBi-Net82.02 18382.07 18081.85 20986.38 24161.05 26086.83 11888.27 20372.43 18786.00 18295.64 3163.78 25690.68 21465.95 24893.34 20593.82 111
test182.02 18382.07 18081.85 20986.38 24161.05 26086.83 11888.27 20372.43 18786.00 18295.64 3163.78 25690.68 21465.95 24893.34 20593.82 111
FMVSNet281.31 19181.61 18780.41 23486.38 24158.75 29083.93 16786.58 23072.43 18787.65 14892.98 11963.78 25690.22 22666.86 24193.92 19592.27 178
USDC76.63 25176.73 24776.34 29183.46 28757.20 30080.02 24988.04 20752.14 34283.65 22591.25 16963.24 25986.65 28454.66 32194.11 19185.17 292
DIV-MVS_self_test80.43 20580.23 20581.02 22479.99 32159.25 28077.07 29287.02 22567.38 24686.19 17789.22 21963.09 26090.16 22876.32 15595.80 14193.66 119
cl____80.42 20680.23 20581.02 22479.99 32159.25 28077.07 29287.02 22567.37 24786.18 17989.21 22063.08 26190.16 22876.31 15695.80 14193.65 121
h-mvs3384.25 14482.76 16988.72 7591.82 12682.60 5884.00 16484.98 25671.27 20286.70 16690.55 19463.04 26293.92 10978.26 13194.20 19089.63 237
hse-mvs283.47 16481.81 18488.47 8191.03 15282.27 5982.61 20583.69 26271.27 20286.70 16686.05 27063.04 26292.41 16278.26 13193.62 20390.71 218
MVS_030478.17 23477.23 24180.99 22684.13 28169.07 19081.39 23280.81 28476.28 13267.53 34989.11 22362.87 26486.77 28160.90 28792.01 23987.13 273
new-patchmatchnet70.10 30473.37 27760.29 35081.23 30816.95 38059.54 36074.62 31762.93 27880.97 26387.93 24062.83 26571.90 34855.24 31795.01 16892.00 187
K. test v385.14 12184.73 13486.37 11291.13 15069.63 18085.45 13976.68 30684.06 4292.44 5896.99 862.03 26694.65 7780.58 10593.24 20894.83 74
lessismore_v085.95 12591.10 15170.99 17170.91 34491.79 7094.42 6961.76 26792.93 15179.52 11993.03 21493.93 105
131473.22 28272.56 28775.20 29880.41 32057.84 29481.64 22885.36 24451.68 34573.10 32776.65 35661.45 26885.19 30063.54 26679.21 35182.59 323
CANet_DTU77.81 23977.05 24280.09 23981.37 30659.90 27483.26 18888.29 20269.16 22667.83 34783.72 30360.93 26989.47 24469.22 22489.70 27390.88 214
pmmvs-eth3d78.42 23377.04 24382.57 20087.44 22274.41 13280.86 24179.67 29155.68 32384.69 20490.31 19960.91 27085.42 29862.20 27591.59 24587.88 265
UnsupCasMVSNet_eth71.63 29672.30 28969.62 32276.47 34752.70 33070.03 33880.97 28359.18 30479.36 28288.21 23560.50 27169.12 35458.33 29977.62 35687.04 274
IterMVS-SCA-FT80.64 20279.41 21684.34 15883.93 28369.66 17976.28 30281.09 28272.43 18786.47 17690.19 20260.46 27293.15 14477.45 14486.39 30890.22 230
SCA73.32 28072.57 28675.58 29781.62 30255.86 30878.89 26771.37 34361.73 28774.93 31983.42 30860.46 27287.01 27458.11 30182.63 33983.88 304
jason77.42 24275.75 25582.43 20387.10 23269.27 18377.99 27881.94 27651.47 34677.84 29485.07 28960.32 27489.00 25170.74 21089.27 27889.03 251
jason: jason.
1112_ss74.82 27073.74 27178.04 26989.57 17960.04 27276.49 29987.09 22454.31 32973.66 32579.80 34160.25 27586.76 28358.37 29784.15 32887.32 271
HY-MVS64.64 1873.03 28472.47 28874.71 30183.36 28854.19 31882.14 22481.96 27556.76 32169.57 34186.21 26860.03 27684.83 30449.58 34382.65 33785.11 293
Anonymous2023120671.38 29771.88 29169.88 32086.31 24554.37 31770.39 33674.62 31752.57 33876.73 30088.76 22759.94 27772.06 34744.35 35993.23 20983.23 318
IterMVS76.91 24776.34 25078.64 25780.91 31164.03 22576.30 30179.03 29464.88 27183.11 23289.16 22159.90 27884.46 30668.61 23285.15 31887.42 269
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
YYNet170.06 30570.44 30068.90 32573.76 36253.42 32558.99 36367.20 35458.42 30887.10 15785.39 28259.82 27967.32 35859.79 29283.50 33185.96 283
MDA-MVSNet_test_wron70.05 30670.44 30068.88 32673.84 36153.47 32358.93 36467.28 35358.43 30787.09 15885.40 28159.80 28067.25 35959.66 29383.54 33085.92 285
PMMVS61.65 33060.38 33665.47 33965.40 37769.26 18463.97 35461.73 36636.80 37260.11 36668.43 36659.42 28166.35 36348.97 34578.57 35360.81 367
CDS-MVSNet77.32 24375.40 25883.06 18689.00 19172.48 15277.90 28082.17 27460.81 29678.94 28783.49 30659.30 28288.76 25854.64 32292.37 22787.93 264
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
UnsupCasMVSNet_bld69.21 31169.68 30667.82 33179.42 32751.15 34267.82 34675.79 31054.15 33077.47 29985.36 28459.26 28370.64 35048.46 34779.35 34981.66 334
Anonymous2024052180.18 21581.25 19176.95 28283.15 29260.84 26582.46 21285.99 23868.76 23186.78 16393.73 10859.13 28477.44 33473.71 18297.55 7192.56 161
WTY-MVS67.91 31568.35 31366.58 33580.82 31448.12 35365.96 35072.60 33353.67 33271.20 33581.68 32658.97 28569.06 35548.57 34681.67 34082.55 324
cl2278.97 22278.21 23281.24 22077.74 33759.01 28477.46 28987.13 22065.79 25884.32 21185.10 28658.96 28690.88 20875.36 16792.03 23693.84 108
MVSFormer82.23 17981.57 18984.19 16385.54 25869.26 18491.98 3290.08 17271.54 20076.23 30585.07 28958.69 28794.27 9086.26 3888.77 28389.03 251
lupinMVS76.37 25674.46 26682.09 20485.54 25869.26 18476.79 29480.77 28550.68 35276.23 30582.82 31558.69 28788.94 25269.85 21788.77 28388.07 259
Test_1112_low_res73.90 27873.08 27976.35 29090.35 16755.95 30673.40 32586.17 23550.70 35173.14 32685.94 27158.31 28985.90 29456.51 30783.22 33287.20 272
test_yl78.71 22978.51 22879.32 24984.32 27358.84 28778.38 27385.33 24575.99 13882.49 23886.57 26058.01 29090.02 23762.74 27192.73 22189.10 248
DCV-MVSNet78.71 22978.51 22879.32 24984.32 27358.84 28778.38 27385.33 24575.99 13882.49 23886.57 26058.01 29090.02 23762.74 27192.73 22189.10 248
sss66.92 31767.26 31765.90 33677.23 34051.10 34464.79 35171.72 34152.12 34370.13 33980.18 33857.96 29265.36 36650.21 33981.01 34581.25 340
ppachtmachnet_test74.73 27274.00 27076.90 28480.71 31656.89 30371.53 33278.42 29658.24 30979.32 28482.92 31457.91 29384.26 30865.60 25391.36 24889.56 238
MVP-Stereo75.81 26073.51 27582.71 19589.35 18373.62 13580.06 24785.20 24860.30 30073.96 32387.94 23957.89 29489.45 24652.02 33374.87 36185.06 294
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
PAPM71.77 29470.06 30476.92 28386.39 24053.97 31976.62 29886.62 22953.44 33363.97 36184.73 29557.79 29592.34 16539.65 36681.33 34384.45 299
LFMVS80.15 21680.56 19978.89 25289.19 18855.93 30785.22 14273.78 32682.96 5684.28 21692.72 13057.38 29690.07 23563.80 26495.75 14490.68 220
Vis-MVSNet (Re-imp)77.82 23877.79 23577.92 27188.82 19551.29 34183.28 18771.97 33874.04 16282.23 24389.78 21057.38 29689.41 24757.22 30495.41 15193.05 141
CHOSEN 1792x268872.45 28870.56 29878.13 26790.02 17763.08 23468.72 34183.16 26542.99 36775.92 30985.46 27957.22 29885.18 30149.87 34281.67 34086.14 282
miper_lstm_enhance76.45 25576.10 25277.51 27776.72 34560.97 26464.69 35285.04 25363.98 27483.20 23188.22 23456.67 29978.79 33273.22 18893.12 21192.78 152
bld_raw_dy_0_6484.85 12984.44 14486.07 12493.73 6674.93 12988.57 9381.90 27770.44 21291.28 8095.18 4256.62 30089.28 24985.15 5397.09 8893.99 101
our_test_371.85 29371.59 29372.62 31180.71 31653.78 32169.72 33971.71 34258.80 30678.03 29180.51 33656.61 30178.84 33162.20 27586.04 31185.23 291
baseline173.26 28173.54 27472.43 31384.92 26347.79 35579.89 25174.00 32265.93 25678.81 28886.28 26756.36 30281.63 32256.63 30679.04 35287.87 266
pmmvs474.92 26872.98 28180.73 22984.95 26271.71 16676.23 30377.59 30052.83 33677.73 29786.38 26256.35 30384.97 30257.72 30387.05 30285.51 289
MVEpermissive40.22 2351.82 34150.47 34455.87 35362.66 37951.91 33531.61 37139.28 38040.65 36850.76 37474.98 36156.24 30444.67 37533.94 37264.11 37171.04 361
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
N_pmnet70.20 30268.80 31174.38 30380.91 31184.81 4059.12 36276.45 30855.06 32675.31 31782.36 32055.74 30554.82 37147.02 35287.24 30183.52 311
MS-PatchMatch70.93 29970.22 30273.06 30981.85 30162.50 24473.82 32277.90 29852.44 33975.92 30981.27 32855.67 30681.75 32055.37 31577.70 35574.94 355
DSMNet-mixed60.98 33561.61 33459.09 35272.88 36745.05 36474.70 31646.61 37926.20 37365.34 35490.32 19855.46 30763.12 36941.72 36381.30 34469.09 363
pmmvs570.73 30070.07 30372.72 31077.03 34352.73 32974.14 31875.65 31350.36 35472.17 33185.37 28355.42 30880.67 32652.86 33187.59 29984.77 296
CMPMVSbinary59.41 2075.12 26573.57 27379.77 24175.84 35267.22 19981.21 23682.18 27350.78 35076.50 30187.66 24455.20 30982.99 31562.17 27790.64 26889.09 250
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MIMVSNet71.09 29871.59 29369.57 32387.23 22550.07 34878.91 26671.83 33960.20 30271.26 33491.76 15955.08 31076.09 33841.06 36487.02 30382.54 325
PVSNet_051.08 2256.10 33854.97 34359.48 35175.12 35853.28 32655.16 36561.89 36444.30 36459.16 36762.48 37054.22 31165.91 36535.40 37047.01 37359.25 369
EPNet_dtu72.87 28671.33 29777.49 27877.72 33860.55 26982.35 21575.79 31066.49 25458.39 37181.06 33053.68 31285.98 29253.55 32592.97 21785.95 284
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PMMVS255.64 34059.27 34044.74 35664.30 37812.32 38140.60 36949.79 37753.19 33465.06 35884.81 29353.60 31349.76 37332.68 37389.41 27572.15 358
HyFIR lowres test75.12 26572.66 28482.50 20191.44 14165.19 21572.47 32887.31 21546.79 35880.29 27484.30 29952.70 31492.10 17351.88 33786.73 30490.22 230
test111178.53 23178.85 22277.56 27692.22 10847.49 35682.61 20569.24 35072.43 18785.28 19494.20 8151.91 31590.07 23565.36 25596.45 11295.11 63
ECVR-MVScopyleft78.44 23278.63 22677.88 27291.85 12248.95 35083.68 17669.91 34872.30 19384.26 21894.20 8151.89 31689.82 23963.58 26596.02 12894.87 68
FMVSNet378.80 22778.55 22779.57 24682.89 29656.89 30381.76 22585.77 24069.04 22886.00 18290.44 19651.75 31790.09 23465.95 24893.34 20591.72 196
D2MVS76.84 24875.67 25780.34 23580.48 31962.16 25073.50 32384.80 25957.61 31582.24 24287.54 24651.31 31887.65 26870.40 21593.19 21091.23 206
AUN-MVS81.18 19378.78 22388.39 8490.93 15482.14 6082.51 21183.67 26364.69 27280.29 27485.91 27351.07 31992.38 16376.29 15793.63 20290.65 222
PVSNet58.17 2166.41 32165.63 32568.75 32781.96 29949.88 34962.19 35872.51 33551.03 34868.04 34575.34 36050.84 32074.77 34245.82 35782.96 33381.60 335
GA-MVS75.83 25974.61 26379.48 24881.87 30059.25 28073.42 32482.88 26868.68 23279.75 27881.80 32450.62 32189.46 24566.85 24285.64 31389.72 236
FPMVS72.29 29172.00 29073.14 30888.63 19785.00 3774.65 31767.39 35271.94 19977.80 29687.66 24450.48 32275.83 34049.95 34079.51 34758.58 370
MVS-HIRNet61.16 33362.92 33055.87 35379.09 33135.34 37571.83 33057.98 37246.56 35959.05 36891.14 17449.95 32376.43 33738.74 36771.92 36455.84 371
CVMVSNet72.62 28771.41 29676.28 29283.25 28960.34 27083.50 18279.02 29537.77 37176.33 30385.10 28649.60 32487.41 27170.54 21377.54 35781.08 343
RPMNet78.88 22478.28 23180.68 23179.58 32462.64 24182.58 20794.16 3174.80 15475.72 31192.59 13348.69 32595.56 3973.48 18582.91 33583.85 307
tpmrst66.28 32266.69 32165.05 34072.82 36839.33 37178.20 27670.69 34553.16 33567.88 34680.36 33748.18 32674.75 34358.13 30070.79 36581.08 343
CR-MVSNet74.00 27773.04 28076.85 28679.58 32462.64 24182.58 20776.90 30350.50 35375.72 31192.38 14048.07 32784.07 30968.72 23182.91 33583.85 307
Patchmtry76.56 25377.46 23673.83 30579.37 32946.60 36082.41 21476.90 30373.81 16585.56 19192.38 14048.07 32783.98 31063.36 26895.31 15790.92 213
ADS-MVSNet265.87 32463.64 32972.55 31273.16 36556.92 30267.10 34774.81 31649.74 35566.04 35282.97 31146.71 32977.26 33542.29 36169.96 36783.46 312
ADS-MVSNet61.90 32962.19 33261.03 34973.16 36536.42 37467.10 34761.75 36549.74 35566.04 35282.97 31146.71 32963.21 36842.29 36169.96 36783.46 312
PatchmatchNetpermissive69.71 30968.83 31072.33 31477.66 33953.60 32279.29 26069.99 34757.66 31472.53 32982.93 31346.45 33180.08 32960.91 28672.09 36383.31 317
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
thres20072.34 29071.55 29574.70 30283.48 28651.60 33875.02 31473.71 32770.14 21978.56 29080.57 33446.20 33288.20 26446.99 35389.29 27684.32 301
sam_mvs146.11 33383.88 304
tfpn200view974.86 26974.23 26876.74 28786.24 24952.12 33379.24 26273.87 32473.34 17281.82 25284.60 29746.02 33488.80 25451.98 33490.99 25489.31 243
thres40075.14 26374.23 26877.86 27386.24 24952.12 33379.24 26273.87 32473.34 17281.82 25284.60 29746.02 33488.80 25451.98 33490.99 25492.66 158
baseline269.77 30866.89 31878.41 26279.51 32658.09 29276.23 30369.57 34957.50 31664.82 35977.45 35246.02 33488.44 26053.08 32777.83 35488.70 255
patchmatchnet-post81.71 32545.93 33787.01 274
sam_mvs45.92 338
Patchmatch-RL test74.48 27373.68 27276.89 28584.83 26466.54 20672.29 32969.16 35157.70 31386.76 16486.33 26445.79 33982.59 31669.63 21990.65 26781.54 336
thres100view90075.45 26175.05 26176.66 28887.27 22451.88 33681.07 23873.26 33075.68 14483.25 23086.37 26345.54 34088.80 25451.98 33490.99 25489.31 243
thres600view775.97 25875.35 26077.85 27487.01 23451.84 33780.45 24473.26 33075.20 15183.10 23386.31 26645.54 34089.05 25055.03 31992.24 23292.66 158
tpm cat166.76 32065.21 32671.42 31677.09 34250.62 34678.01 27773.68 32844.89 36368.64 34279.00 34445.51 34282.42 31949.91 34170.15 36681.23 342
test_post3.10 37745.43 34377.22 336
MDTV_nov1_ep1368.29 31478.03 33643.87 36774.12 31972.22 33652.17 34067.02 35085.54 27545.36 34480.85 32555.73 31084.42 327
tpmvs70.16 30369.56 30771.96 31574.71 36048.13 35279.63 25375.45 31565.02 27070.26 33881.88 32345.34 34585.68 29658.34 29875.39 36082.08 330
MDTV_nov1_ep13_2view27.60 37970.76 33446.47 36061.27 36345.20 34649.18 34483.75 309
test_post178.85 2693.13 37645.19 34780.13 32858.11 301
CostFormer69.98 30768.68 31273.87 30477.14 34150.72 34579.26 26174.51 31951.94 34470.97 33784.75 29445.16 34887.49 27055.16 31879.23 35083.40 314
Patchmatch-test65.91 32367.38 31661.48 34875.51 35443.21 36968.84 34063.79 36262.48 28272.80 32883.42 30844.89 34959.52 37048.27 34986.45 30681.70 333
EU-MVSNet75.12 26574.43 26777.18 28083.11 29359.48 27885.71 13782.43 27239.76 37085.64 18988.76 22744.71 35087.88 26673.86 18085.88 31284.16 303
PatchT70.52 30172.76 28363.79 34279.38 32833.53 37677.63 28465.37 36073.61 16771.77 33292.79 12944.38 35175.65 34164.53 26385.37 31582.18 329
test-LLR67.21 31666.74 32068.63 32876.45 34855.21 31367.89 34367.14 35562.43 28465.08 35672.39 36243.41 35269.37 35161.00 28484.89 32281.31 338
test0.0.03 164.66 32664.36 32765.57 33875.03 35946.89 35964.69 35261.58 36762.43 28471.18 33677.54 35043.41 35268.47 35640.75 36582.65 33781.35 337
MVSTER77.09 24575.70 25681.25 21875.27 35761.08 25977.49 28885.07 25160.78 29786.55 17088.68 22943.14 35490.25 22373.69 18390.67 26592.42 167
tpm67.95 31468.08 31567.55 33278.74 33543.53 36875.60 30767.10 35754.92 32772.23 33088.10 23642.87 35575.97 33952.21 33280.95 34683.15 319
tpm268.45 31366.83 31973.30 30778.93 33448.50 35179.76 25271.76 34047.50 35769.92 34083.60 30442.07 35688.40 26148.44 34879.51 34783.01 321
EMVS61.10 33460.81 33561.99 34565.96 37655.86 30853.10 36758.97 37067.06 24956.89 37263.33 36940.98 35767.03 36054.79 32086.18 31063.08 365
new_pmnet55.69 33957.66 34149.76 35575.47 35530.59 37759.56 35951.45 37643.62 36662.49 36275.48 35940.96 35849.15 37437.39 36972.52 36269.55 362
E-PMN61.59 33161.62 33361.49 34766.81 37555.40 31153.77 36660.34 36866.80 25258.90 36965.50 36840.48 35966.12 36455.72 31186.25 30962.95 366
EPMVS62.47 32762.63 33162.01 34470.63 37238.74 37274.76 31552.86 37553.91 33167.71 34880.01 33939.40 36066.60 36255.54 31468.81 37080.68 347
tmp_tt20.25 34424.50 3477.49 3594.47 3828.70 38234.17 37025.16 3821.00 37732.43 37618.49 37439.37 3619.21 37821.64 37543.75 3744.57 374
thisisatest053079.07 22177.33 24084.26 16087.13 22864.58 21983.66 17775.95 30968.86 23085.22 19587.36 25038.10 36293.57 12775.47 16594.28 18894.62 76
ET-MVSNet_ETH3D75.28 26272.77 28282.81 19483.03 29468.11 19477.09 29176.51 30760.67 29977.60 29880.52 33538.04 36391.15 19870.78 20890.68 26489.17 246
tttt051781.07 19479.58 21585.52 13588.99 19266.45 20787.03 11475.51 31473.76 16688.32 14190.20 20137.96 36494.16 10279.36 12195.13 16295.93 43
thisisatest051573.00 28570.52 29980.46 23381.45 30459.90 27473.16 32774.31 32157.86 31276.08 30877.78 34937.60 36592.12 17265.00 25691.45 24789.35 242
FMVSNet572.10 29271.69 29273.32 30681.57 30353.02 32776.77 29578.37 29763.31 27576.37 30291.85 15436.68 36678.98 33047.87 35092.45 22687.95 263
iter_conf_final80.36 20978.88 22184.79 14686.29 24766.36 20886.95 11586.25 23368.16 23882.09 24689.48 21436.59 36794.51 8779.83 11294.30 18793.50 129
dp60.70 33660.29 33861.92 34672.04 37038.67 37370.83 33364.08 36151.28 34760.75 36477.28 35336.59 36771.58 34947.41 35162.34 37275.52 354
CHOSEN 280x42059.08 33756.52 34266.76 33476.51 34664.39 22249.62 36859.00 36943.86 36555.66 37368.41 36735.55 36968.21 35743.25 36076.78 35967.69 364
IB-MVS62.13 1971.64 29568.97 30979.66 24580.80 31562.26 24973.94 32076.90 30363.27 27668.63 34376.79 35533.83 37091.84 18059.28 29587.26 30084.88 295
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 31066.64 32277.70 27573.19 36471.24 16975.67 30665.56 35970.42 21365.18 35592.97 12133.64 37183.06 31453.52 32669.61 36978.79 350
iter_conf0578.81 22677.35 23983.21 18382.98 29560.75 26784.09 15988.34 20063.12 27784.25 21989.48 21431.41 37294.51 8776.64 15295.83 13894.38 88
DeepMVS_CXcopyleft24.13 35832.95 38029.49 37821.63 38312.07 37437.95 37545.07 37330.84 37319.21 37717.94 37633.06 37623.69 373
gg-mvs-nofinetune68.96 31269.11 30868.52 33076.12 35145.32 36283.59 17855.88 37386.68 2664.62 36097.01 730.36 37483.97 31144.78 35882.94 33476.26 353
GG-mvs-BLEND67.16 33373.36 36346.54 36184.15 15855.04 37458.64 37061.95 37129.93 37583.87 31238.71 36876.92 35871.07 360
test_method30.46 34229.60 34533.06 35717.99 3813.84 38313.62 37273.92 3232.79 37518.29 37753.41 37228.53 37643.25 37622.56 37435.27 37552.11 372
test-mter65.00 32563.79 32868.63 32876.45 34855.21 31367.89 34367.14 35550.98 34965.08 35672.39 36228.27 37769.37 35161.00 28484.89 32281.31 338
TESTMET0.1,161.29 33260.32 33764.19 34172.06 36951.30 34067.89 34362.09 36345.27 36260.65 36569.01 36527.93 37864.74 36756.31 30881.65 34276.53 352
test250674.12 27673.39 27676.28 29291.85 12244.20 36684.06 16248.20 37872.30 19381.90 24994.20 8127.22 37989.77 24064.81 25896.02 12894.87 68
pmmvs362.47 32760.02 33969.80 32171.58 37164.00 22670.52 33558.44 37139.77 36966.05 35175.84 35827.10 38072.28 34646.15 35584.77 32673.11 357
KD-MVS_2432*160066.87 31865.81 32370.04 31867.50 37347.49 35662.56 35679.16 29261.21 29377.98 29280.61 33225.29 38182.48 31753.02 32884.92 32080.16 348
miper_refine_blended66.87 31865.81 32370.04 31867.50 37347.49 35662.56 35679.16 29261.21 29377.98 29280.61 33225.29 38182.48 31753.02 32884.92 32080.16 348
test1236.27 3478.08 3500.84 3601.11 3840.57 38462.90 3550.82 3840.54 3781.07 3802.75 3791.26 3830.30 3791.04 3771.26 3781.66 375
testmvs5.91 3487.65 3510.72 3611.20 3830.37 38559.14 3610.67 3850.49 3791.11 3792.76 3780.94 3840.24 3801.02 3781.47 3771.55 376
test_blank0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
uanet_test0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
DCPMVS0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
sosnet-low-res0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
sosnet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
uncertanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
Regformer0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
ab-mvs-re6.65 3458.87 3480.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 38179.80 3410.00 3850.00 3810.00 3790.00 3790.00 377
uanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
MSC_two_6792asdad88.81 7191.55 13577.99 9391.01 14296.05 887.45 1998.17 3492.40 169
No_MVS88.81 7191.55 13577.99 9391.01 14296.05 887.45 1998.17 3492.40 169
eth-test20.00 385
eth-test0.00 385
IU-MVS94.18 5072.64 14590.82 14756.98 31989.67 11285.78 4897.92 4993.28 132
save fliter93.75 6477.44 10386.31 12889.72 17770.80 208
test_0728_SECOND86.79 10594.25 4972.45 15390.54 4894.10 3895.88 1786.42 3497.97 4692.02 186
GSMVS83.88 304
test_part293.86 6277.77 9792.84 49
MTGPAbinary91.81 121
MTMP90.66 4533.14 381
gm-plane-assit75.42 35644.97 36552.17 34072.36 36487.90 26554.10 323
test9_res80.83 10196.45 11290.57 223
agg_prior279.68 11596.16 12390.22 230
agg_prior91.58 13277.69 9890.30 16384.32 21193.18 140
test_prior478.97 8484.59 150
test_prior86.32 11390.59 16371.99 16092.85 9294.17 9992.80 150
旧先验281.73 22656.88 32086.54 17584.90 30372.81 195
新几何281.72 227
无先验82.81 20285.62 24258.09 31091.41 19167.95 23884.48 298
原ACMM282.26 220
testdata286.43 28763.52 267
testdata179.62 25473.95 164
plane_prior793.45 7277.31 107
plane_prior593.61 5895.22 5980.78 10295.83 13894.46 83
plane_prior492.95 122
plane_prior376.85 11477.79 11886.55 170
plane_prior289.45 7679.44 97
plane_prior192.83 91
plane_prior76.42 12087.15 11275.94 14195.03 167
n20.00 386
nn0.00 386
door-mid74.45 320
test1191.46 128
door72.57 334
HQP5-MVS70.66 172
HQP-NCC91.19 14684.77 14573.30 17480.55 271
ACMP_Plane91.19 14684.77 14573.30 17480.55 271
BP-MVS77.30 146
HQP4-MVS80.56 27094.61 8093.56 126
HQP3-MVS92.68 9894.47 183
NP-MVS91.95 11674.55 13190.17 204
ACMMP++_ref95.74 145
ACMMP++97.35 80