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 bysort bysorted bysort bysort bysort by
APDe-MVS91.22 2491.92 1389.14 6592.97 8378.04 9292.84 1694.14 3583.33 5193.90 2595.73 2688.77 2696.41 187.60 1697.98 4492.98 139
MSP-MVS89.08 6588.16 7791.83 2195.76 1886.14 2492.75 1793.90 4678.43 11289.16 12092.25 14372.03 21596.36 288.21 890.93 25492.98 139
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
DPE-MVScopyleft90.53 3591.08 3688.88 6893.38 7378.65 8889.15 7894.05 4084.68 3893.90 2594.11 8588.13 3696.30 384.51 6097.81 5491.70 192
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3893.48 6382.82 5892.60 5393.97 9088.19 3396.29 487.61 1598.20 3294.39 85
Skip Steuart: Steuart Systems R&D Blog.
testtj89.51 5789.48 6089.59 5892.26 10280.80 6990.14 5593.54 6183.37 5090.57 8892.55 13384.99 6896.15 581.26 9296.61 10191.83 188
ZD-MVS92.22 10580.48 7091.85 11671.22 20490.38 8992.98 11686.06 6396.11 681.99 8696.75 97
SMA-MVScopyleft90.31 3890.48 4989.83 5295.31 3179.52 8090.98 4293.24 7675.37 14992.84 4895.28 3685.58 6696.09 787.92 1097.76 5693.88 103
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
MSC_two_6792asdad88.81 7091.55 13277.99 9391.01 14096.05 887.45 1998.17 3392.40 164
No_MVS88.81 7091.55 13277.99 9391.01 14096.05 887.45 1998.17 3392.40 164
DTE-MVSNet89.98 4791.91 1584.21 15796.51 857.84 28988.93 8292.84 9391.92 396.16 396.23 1886.95 5095.99 1079.05 11998.57 1598.80 6
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 5693.90 4680.32 8691.74 6994.41 6788.17 3495.98 1186.37 3697.99 4293.96 100
APD-MVScopyleft89.54 5689.63 5789.26 6392.57 9281.34 6690.19 5493.08 8180.87 8191.13 7793.19 11186.22 6195.97 1282.23 8497.18 8490.45 222
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TSAR-MVS + MP.88.14 7587.82 8089.09 6795.72 2276.74 11592.49 2591.19 13667.85 24086.63 16694.84 4879.58 13695.96 1387.62 1494.50 17994.56 76
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
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 5299.27 199.54 1
WR-MVS_H89.91 5091.31 3185.71 12996.32 1062.39 24289.54 7193.31 7090.21 1095.57 995.66 2981.42 11695.90 1580.94 9798.80 398.84 5
DVP-MVS++90.07 4291.09 3587.00 9991.55 13272.64 14296.19 294.10 3885.33 3293.49 3894.64 5781.12 12095.88 1687.41 2195.94 13092.48 160
test_0728_SECOND86.79 10394.25 4972.45 15090.54 4694.10 3895.88 1686.42 3497.97 4592.02 181
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2894.22 2780.14 8991.29 7693.97 9087.93 4095.87 1888.65 497.96 4794.12 95
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8494.21 7787.75 4195.87 1887.60 1697.71 6093.83 105
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7581.99 6691.40 7394.17 8187.51 4495.87 1887.74 1197.76 5693.99 98
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14181.66 6491.25 3994.13 3688.89 1388.83 12594.26 7577.55 15295.86 2184.88 5595.87 13495.24 57
SED-MVS90.46 3791.64 1986.93 10094.18 5072.65 14090.47 5093.69 5483.77 4494.11 2394.27 7290.28 1595.84 2286.03 4497.92 4892.29 171
test_241102_TWO93.71 5383.77 4493.49 3894.27 7289.27 2295.84 2286.03 4497.82 5392.04 180
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3693.74 5280.98 7991.38 7493.80 10087.20 4895.80 2487.10 3197.69 6193.93 101
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9794.03 8786.57 5695.80 2487.35 2397.62 6494.20 90
X-MVStestdata85.04 12282.70 16692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9716.05 37286.57 5695.80 2487.35 2397.62 6494.20 90
DVP-MVScopyleft90.06 4391.32 3086.29 11394.16 5372.56 14690.54 4691.01 14083.61 4793.75 3194.65 5489.76 1995.78 2786.42 3497.97 4590.55 220
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_THIRD85.33 3293.75 3194.65 5487.44 4595.78 2787.41 2198.21 3092.98 139
DeepC-MVS82.31 489.15 6389.08 6589.37 6193.64 6879.07 8388.54 9094.20 2873.53 16789.71 10694.82 4985.09 6795.77 2984.17 6398.03 3993.26 129
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
HPM-MVScopyleft92.13 992.20 1191.91 1795.58 2684.67 4393.51 894.85 1682.88 5791.77 6893.94 9790.55 1395.73 3088.50 798.23 2995.33 53
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
test_part187.15 8887.82 8085.15 13888.88 19063.04 23287.98 9594.85 1682.52 6193.61 3795.73 2667.51 23495.71 3180.48 10598.83 296.69 25
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 7994.00 8988.26 3295.71 3187.28 2698.39 2192.55 157
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4194.02 8890.15 1795.67 3386.82 3297.34 7992.19 177
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 5794.14 8389.15 2395.62 3487.35 2398.24 2894.56 76
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
PEN-MVS90.03 4591.88 1684.48 14996.57 658.88 28188.95 8093.19 7791.62 496.01 696.16 2087.02 4995.60 3578.69 12298.72 998.97 3
PS-CasMVS90.06 4391.92 1384.47 15096.56 758.83 28489.04 7992.74 9691.40 596.12 496.06 2287.23 4795.57 3679.42 11798.74 699.00 2
HFP-MVS91.30 2191.39 2591.02 3395.43 2984.66 4492.58 2293.29 7381.99 6691.47 7193.96 9388.35 3095.56 3787.74 1197.74 5892.85 143
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4493.29 7377.00 12691.47 7193.96 9388.35 3095.56 3784.88 5597.74 5892.85 143
RPMNet78.88 22078.28 22680.68 22779.58 32062.64 23882.58 20294.16 3174.80 15375.72 30792.59 13048.69 32195.56 3773.48 18282.91 33183.85 303
RRT_MVS83.25 16381.08 19189.74 5380.55 31479.32 8186.41 12486.69 22672.33 19087.00 15791.08 17144.98 34595.55 4084.47 6196.24 11894.36 86
CP-MVSNet89.27 6190.91 4384.37 15196.34 958.61 28688.66 8992.06 11090.78 695.67 795.17 4081.80 11295.54 4179.00 12098.69 1098.95 4
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 5694.27 2382.35 6393.67 3494.82 4991.18 595.52 4285.36 5098.73 795.23 58
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 4991.18 595.52 4285.36 5098.73 795.23 58
test117292.40 792.41 792.37 694.68 4589.04 691.98 3193.62 5790.14 1193.63 3694.16 8288.83 2495.51 4487.11 3097.54 7292.54 158
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6488.83 2495.51 4487.16 2897.60 6692.73 148
mPP-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 9983.09 5491.54 7094.25 7687.67 4395.51 4487.21 2798.11 3693.12 134
test_241102_ONE94.18 5072.65 14093.69 5483.62 4694.11 2393.78 10390.28 1595.50 47
DROMVSNet88.01 7788.32 7687.09 9889.28 18172.03 15690.31 5296.31 380.88 8085.12 19389.67 20884.47 7495.46 4882.56 7996.26 11793.77 111
ACMMP_NAP90.65 3191.07 3889.42 6095.93 1679.54 7989.95 5993.68 5677.65 11891.97 6594.89 4688.38 2895.45 4989.27 397.87 5293.27 128
CANet83.79 15382.85 16486.63 10586.17 24772.21 15583.76 16991.43 12777.24 12474.39 31787.45 24375.36 17395.42 5077.03 14892.83 21792.25 175
CS-MVS-test85.00 12485.28 12284.17 16087.84 20866.12 20687.30 10595.67 677.63 12080.02 27485.85 26881.34 11895.41 5178.18 13193.71 19790.99 204
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2793.03 8582.59 6088.52 13194.37 7186.74 5395.41 5186.32 3798.21 3093.19 132
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
LS3D90.60 3390.34 5091.38 2789.03 18684.23 4793.58 694.68 1990.65 790.33 9193.95 9684.50 7295.37 5380.87 9895.50 14694.53 79
HPM-MVS_fast92.50 592.54 692.37 695.93 1685.81 3292.99 1394.23 2685.21 3492.51 5495.13 4190.65 1095.34 5488.06 998.15 3595.95 40
NCCC87.36 8586.87 9688.83 6992.32 10178.84 8686.58 12191.09 13878.77 10884.85 19990.89 18080.85 12395.29 5581.14 9495.32 15192.34 167
EPP-MVSNet85.47 11385.04 12686.77 10491.52 13569.37 17891.63 3787.98 20681.51 7387.05 15691.83 15266.18 24295.29 5570.75 20596.89 9095.64 45
zzz-MVS91.27 2291.26 3391.29 2996.59 486.29 1988.94 8191.81 11984.07 4092.00 6394.40 6886.63 5495.28 5788.59 598.31 2492.30 169
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3091.81 11984.07 4092.00 6394.40 6886.63 5495.28 5788.59 598.31 2492.30 169
HQP_MVS87.75 8487.43 8788.70 7593.45 7076.42 11989.45 7493.61 5879.44 9786.55 16792.95 11974.84 17895.22 5980.78 10095.83 13594.46 81
plane_prior593.61 5895.22 5980.78 10095.83 13594.46 81
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 7794.05 4079.03 10492.87 4693.74 10490.60 1295.21 6182.87 7698.76 494.87 65
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
DeepC-MVS_fast80.27 886.23 10185.65 11787.96 9091.30 13976.92 11287.19 10791.99 11270.56 21084.96 19590.69 18680.01 13395.14 6278.37 12595.78 13991.82 189
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ETV-MVS84.31 13883.91 15285.52 13288.58 19470.40 17184.50 15293.37 6478.76 10984.07 21778.72 34280.39 12995.13 6373.82 17892.98 21491.04 203
abl_693.02 493.16 492.60 494.73 4488.99 793.26 1294.19 3089.11 1294.43 1695.27 3791.86 395.09 6487.54 1898.02 4093.71 113
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8185.17 3692.47 2695.05 1587.65 2493.21 4294.39 7090.09 1895.08 6586.67 3397.60 6694.18 92
HPM-MVS++copyleft88.93 6888.45 7590.38 4594.92 3785.85 3089.70 6391.27 13378.20 11486.69 16592.28 14280.36 13095.06 6686.17 4296.49 10690.22 225
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9494.51 2175.79 14292.94 4494.96 4488.36 2995.01 6790.70 298.40 2095.09 62
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
CDPH-MVS86.17 10485.54 11888.05 8992.25 10375.45 12483.85 16592.01 11165.91 25586.19 17491.75 15683.77 8194.98 6877.43 14496.71 9893.73 112
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6786.15 2393.37 1095.10 1490.28 992.11 6095.03 4389.75 2194.93 6979.95 10898.27 2795.04 63
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
IS-MVSNet86.66 9486.82 9886.17 12092.05 11166.87 20091.21 4088.64 19386.30 3089.60 11392.59 13069.22 22694.91 7073.89 17697.89 5196.72 24
ETH3 D test640085.09 12084.87 12985.75 12890.80 15569.34 17985.90 12993.31 7065.43 26286.11 17789.95 20380.92 12294.86 7175.90 15895.57 14493.05 136
OurMVSNet-221017-090.01 4689.74 5590.83 3793.16 7980.37 7191.91 3493.11 7981.10 7795.32 1097.24 572.94 20394.85 7285.07 5297.78 5597.26 15
test1286.57 10690.74 15672.63 14490.69 14882.76 23479.20 13794.80 7395.32 15192.27 173
SixPastTwentyTwo87.20 8787.45 8686.45 10992.52 9469.19 18487.84 9988.05 20381.66 7194.64 1496.53 1465.94 24394.75 7483.02 7596.83 9495.41 50
CNVR-MVS87.81 8387.68 8288.21 8692.87 8577.30 10885.25 13891.23 13477.31 12387.07 15591.47 16282.94 8994.71 7584.67 5896.27 11692.62 155
OPU-MVS88.27 8591.89 11777.83 9790.47 5091.22 16681.12 12094.68 7674.48 16995.35 14992.29 171
K. test v385.14 11884.73 13186.37 11091.13 14769.63 17785.45 13676.68 30284.06 4292.44 5696.99 862.03 26294.65 7780.58 10393.24 20694.83 71
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7293.75 6477.44 10386.31 12595.27 1270.80 20792.28 5893.80 10086.89 5194.64 7885.52 4897.51 7494.30 88
SF-MVS90.27 3990.80 4588.68 7692.86 8777.09 11091.19 4195.74 581.38 7492.28 5893.80 10086.89 5194.64 7885.52 4897.51 7494.30 88
HQP4-MVS80.56 26694.61 8093.56 122
HQP-MVS84.61 13084.06 14886.27 11491.19 14370.66 16984.77 14292.68 9773.30 17380.55 26790.17 20172.10 21194.61 8077.30 14594.47 18093.56 122
PS-MVSNAJss88.31 7387.90 7989.56 5993.31 7577.96 9587.94 9791.97 11370.73 20994.19 2296.67 1176.94 16194.57 8283.07 7396.28 11496.15 32
DeepPCF-MVS81.24 587.28 8686.21 10590.49 4391.48 13684.90 3983.41 18092.38 10470.25 21589.35 11890.68 18782.85 9094.57 8279.55 11395.95 12992.00 182
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9488.22 2088.53 13097.64 283.45 8494.55 8486.02 4698.60 1396.67 26
CS-MVS88.03 7687.67 8389.10 6689.60 17677.89 9690.49 4994.78 1879.37 9984.25 21689.32 21283.84 7894.49 8582.47 8094.93 16794.93 64
114514_t83.10 16782.54 17184.77 14492.90 8469.10 18686.65 11990.62 15154.66 32481.46 25590.81 18376.98 16094.38 8672.62 19296.18 11990.82 211
MVSFormer82.23 17681.57 18584.19 15985.54 25469.26 18191.98 3190.08 17071.54 19976.23 30185.07 28458.69 28394.27 8786.26 3888.77 27989.03 247
test_djsdf89.62 5489.01 6691.45 2592.36 9882.98 5591.98 3190.08 17071.54 19994.28 2196.54 1381.57 11494.27 8786.26 3896.49 10697.09 19
原ACMM184.60 14892.81 9074.01 13191.50 12562.59 27782.73 23590.67 18876.53 16894.25 8969.24 21895.69 14285.55 284
ETH3D cwj APD-0.1687.83 8287.62 8488.47 7991.21 14278.20 9087.26 10694.54 2072.05 19588.89 12292.31 14083.86 7794.24 9081.59 9196.87 9192.97 142
AdaColmapbinary83.66 15583.69 15483.57 17490.05 17272.26 15386.29 12790.00 17278.19 11581.65 25387.16 24883.40 8594.24 9061.69 27694.76 17584.21 298
Effi-MVS+-dtu85.82 10983.38 15693.14 387.13 22491.15 287.70 10088.42 19574.57 15683.56 22485.65 26978.49 14294.21 9272.04 19692.88 21694.05 97
EIA-MVS82.19 17781.23 18985.10 13987.95 20669.17 18583.22 18893.33 6770.42 21178.58 28579.77 33977.29 15494.20 9371.51 19988.96 27791.93 186
UniMVSNet (Re)86.87 8986.98 9486.55 10793.11 8068.48 18883.80 16892.87 9080.37 8489.61 11291.81 15477.72 14994.18 9475.00 16898.53 1696.99 22
PHI-MVS86.38 9885.81 11288.08 8788.44 19877.34 10689.35 7693.05 8273.15 17884.76 20087.70 23878.87 14094.18 9480.67 10296.29 11392.73 148
test_prior386.31 9986.31 10286.32 11190.59 16071.99 15783.37 18192.85 9175.43 14684.58 20391.57 15881.92 10994.17 9679.54 11496.97 8892.80 145
test_prior86.32 11190.59 16071.99 15792.85 9194.17 9692.80 145
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4796.29 1688.16 3594.17 9686.07 4398.48 1897.22 17
tttt051781.07 19179.58 21285.52 13288.99 18866.45 20487.03 11175.51 31073.76 16588.32 13790.20 19837.96 36194.16 9979.36 11895.13 15895.93 41
v7n90.13 4090.96 4187.65 9391.95 11371.06 16789.99 5893.05 8286.53 2894.29 1996.27 1782.69 9194.08 10086.25 4097.63 6397.82 8
v1086.54 9587.10 9084.84 14288.16 20463.28 22986.64 12092.20 10775.42 14892.81 5094.50 6074.05 18894.06 10183.88 6596.28 11497.17 18
UniMVSNet_NR-MVSNet86.84 9187.06 9186.17 12092.86 8767.02 19882.55 20491.56 12383.08 5590.92 8191.82 15378.25 14593.99 10274.16 17298.35 2297.49 13
DU-MVS86.80 9286.99 9386.21 11893.24 7767.02 19883.16 18992.21 10681.73 7090.92 8191.97 14777.20 15593.99 10274.16 17298.35 2297.61 10
mvs-test184.55 13282.12 17591.84 2087.13 22489.54 485.05 14188.42 19574.57 15680.60 26482.98 30678.49 14293.98 10472.04 19689.77 26892.00 182
DP-MVS Recon84.05 14783.22 15886.52 10891.73 12475.27 12583.23 18792.40 10272.04 19682.04 24488.33 22877.91 14893.95 10566.17 24395.12 16090.34 224
h-mvs3384.25 14182.76 16588.72 7491.82 12382.60 5884.00 16084.98 25371.27 20186.70 16390.55 19163.04 25893.92 10678.26 12994.20 18689.63 232
DP-MVS88.60 7189.01 6687.36 9691.30 13977.50 10287.55 10192.97 8887.95 2289.62 11092.87 12284.56 7193.89 10777.65 13996.62 10090.70 214
NR-MVSNet86.00 10586.22 10485.34 13593.24 7764.56 21782.21 21690.46 15380.99 7888.42 13391.97 14777.56 15193.85 10872.46 19498.65 1297.61 10
EPNet80.37 20578.41 22586.23 11576.75 34073.28 13587.18 10877.45 29776.24 13268.14 34088.93 22165.41 24593.85 10869.47 21696.12 12391.55 197
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
OPM-MVS89.80 5189.97 5289.27 6294.76 4179.86 7586.76 11792.78 9578.78 10792.51 5493.64 10688.13 3693.84 11084.83 5797.55 6994.10 96
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ETH3D-3000-0.188.85 6988.96 6988.52 7791.94 11577.27 10988.71 8795.26 1376.08 13390.66 8792.69 12884.48 7393.83 11183.38 7097.48 7694.47 80
9.1489.29 6291.84 12188.80 8595.32 1175.14 15191.07 7892.89 12187.27 4693.78 11283.69 6897.55 69
TranMVSNet+NR-MVSNet87.86 8088.76 7385.18 13794.02 5864.13 22184.38 15391.29 13284.88 3792.06 6293.84 9986.45 5893.73 11373.22 18498.66 1197.69 9
v886.22 10286.83 9784.36 15387.82 20962.35 24486.42 12391.33 13176.78 12892.73 5194.48 6273.41 19793.72 11483.10 7295.41 14797.01 21
Vis-MVSNetpermissive86.86 9086.58 9987.72 9192.09 10977.43 10587.35 10492.09 10978.87 10684.27 21494.05 8678.35 14493.65 11580.54 10491.58 24292.08 179
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
v124084.30 13984.51 14083.65 17187.65 21461.26 25382.85 19691.54 12467.94 23890.68 8690.65 18971.71 21793.64 11682.84 7794.78 17296.07 35
TEST992.34 9979.70 7783.94 16190.32 15865.41 26684.49 20590.97 17682.03 10593.63 117
train_agg85.98 10785.28 12288.07 8892.34 9979.70 7783.94 16190.32 15865.79 25684.49 20590.97 17681.93 10793.63 11781.21 9396.54 10490.88 209
PCF-MVS74.62 1582.15 17880.92 19485.84 12689.43 17872.30 15280.53 23991.82 11857.36 31387.81 14389.92 20577.67 15093.63 11758.69 29395.08 16191.58 196
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
v119284.57 13184.69 13584.21 15787.75 21162.88 23483.02 19291.43 12769.08 22589.98 9990.89 18072.70 20793.62 12082.41 8194.97 16696.13 33
v192192084.23 14384.37 14483.79 16787.64 21561.71 24882.91 19591.20 13567.94 23890.06 9490.34 19472.04 21493.59 12182.32 8394.91 16896.07 35
mvs_tets89.78 5289.27 6391.30 2893.51 6984.79 4189.89 6190.63 15070.00 21894.55 1596.67 1187.94 3993.59 12184.27 6295.97 12795.52 48
test_040288.65 7089.58 5985.88 12592.55 9372.22 15484.01 15989.44 18288.63 1894.38 1895.77 2586.38 6093.59 12179.84 10995.21 15591.82 189
thisisatest053079.07 21877.33 23684.26 15687.13 22464.58 21683.66 17375.95 30568.86 22885.22 19287.36 24538.10 35993.57 12475.47 16294.28 18494.62 73
jajsoiax89.41 5888.81 7291.19 3293.38 7384.72 4289.70 6390.29 16469.27 22294.39 1796.38 1586.02 6493.52 12583.96 6495.92 13295.34 52
v14419284.24 14284.41 14283.71 17087.59 21661.57 24982.95 19491.03 13967.82 24189.80 10490.49 19273.28 20093.51 12681.88 8994.89 17096.04 37
v114484.54 13484.72 13384.00 16287.67 21362.55 24082.97 19390.93 14370.32 21489.80 10490.99 17573.50 19493.48 12781.69 9094.65 17795.97 38
MCST-MVS84.36 13683.93 15185.63 13091.59 12671.58 16483.52 17592.13 10861.82 28383.96 21889.75 20779.93 13593.46 12878.33 12794.34 18391.87 187
test_892.09 10978.87 8583.82 16690.31 16065.79 25684.36 20890.96 17881.93 10793.44 129
ACMH+77.89 1190.73 3091.50 2388.44 8193.00 8276.26 12189.65 6795.55 787.72 2393.89 2794.94 4591.62 493.44 12978.35 12698.76 495.61 47
FC-MVSNet-test85.93 10887.05 9282.58 19592.25 10356.44 30085.75 13293.09 8077.33 12291.94 6694.65 5474.78 18093.41 13175.11 16798.58 1497.88 7
OMC-MVS88.19 7487.52 8590.19 4991.94 11581.68 6387.49 10393.17 7876.02 13688.64 12891.22 16684.24 7693.37 13277.97 13797.03 8795.52 48
MG-MVS80.32 20780.94 19378.47 25888.18 20252.62 32682.29 21285.01 25272.01 19779.24 28192.54 13469.36 22593.36 13370.65 20789.19 27589.45 235
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 2992.30 10579.74 9287.50 14792.38 13681.42 11693.28 13483.07 7397.24 8291.67 193
F-COLMAP84.97 12683.42 15589.63 5692.39 9783.40 5088.83 8491.92 11573.19 17780.18 27389.15 21777.04 15993.28 13465.82 24892.28 22792.21 176
v2v48284.09 14584.24 14683.62 17287.13 22461.40 25082.71 19989.71 17672.19 19489.55 11491.41 16370.70 22293.20 13681.02 9593.76 19496.25 31
agg_prior185.72 11085.20 12487.28 9791.58 12977.69 9983.69 17190.30 16166.29 25284.32 20991.07 17382.13 10193.18 13781.02 9596.36 11190.98 205
agg_prior91.58 12977.69 9990.30 16184.32 20993.18 137
Regformer-286.74 9386.08 10788.73 7384.18 27479.20 8283.52 17589.33 18483.33 5189.92 10185.07 28483.23 8793.16 13983.39 6992.72 22193.83 105
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 13991.10 197.53 7396.58 29
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
IterMVS-SCA-FT80.64 19979.41 21384.34 15483.93 27869.66 17676.28 29981.09 27772.43 18586.47 17390.19 19960.46 26893.15 14177.45 14386.39 30490.22 225
DPM-MVS80.10 21379.18 21582.88 18990.71 15869.74 17478.87 26490.84 14460.29 29775.64 30985.92 26667.28 23593.11 14271.24 20091.79 23785.77 283
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7393.98 4279.68 9392.09 6193.89 9883.80 8093.10 14382.67 7898.04 3793.64 118
anonymousdsp89.73 5388.88 7092.27 989.82 17586.67 1790.51 4890.20 16769.87 21995.06 1196.14 2184.28 7593.07 14487.68 1396.34 11297.09 19
PC_three_145258.96 30190.06 9491.33 16480.66 12693.03 14575.78 15995.94 13092.48 160
ACMM79.39 990.65 3190.99 4089.63 5695.03 3583.53 4989.62 6893.35 6679.20 10193.83 2893.60 10790.81 892.96 14685.02 5498.45 1992.41 163
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CLD-MVS83.18 16582.64 16884.79 14389.05 18567.82 19477.93 27592.52 10068.33 23285.07 19481.54 32382.06 10392.96 14669.35 21797.91 5093.57 121
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
Effi-MVS+83.90 15284.01 14983.57 17487.22 22265.61 21086.55 12292.40 10278.64 11081.34 25884.18 29583.65 8292.93 14874.22 17187.87 29192.17 178
lessismore_v085.95 12291.10 14870.99 16870.91 34191.79 6794.42 6661.76 26392.93 14879.52 11693.03 21293.93 101
FIs85.35 11586.27 10382.60 19491.86 11857.31 29385.10 14093.05 8275.83 14191.02 8093.97 9073.57 19392.91 15073.97 17598.02 4097.58 12
PVSNet_Blended_VisFu81.55 18680.49 19884.70 14791.58 12973.24 13784.21 15491.67 12262.86 27680.94 26087.16 24867.27 23692.87 15169.82 21488.94 27887.99 258
Regformer-486.41 9785.71 11588.52 7784.27 27077.57 10184.07 15688.00 20582.82 5889.84 10385.48 27282.06 10392.77 15283.83 6791.04 24895.22 60
DELS-MVS81.44 18781.25 18782.03 20284.27 27062.87 23576.47 29792.49 10170.97 20681.64 25483.83 29775.03 17592.70 15374.29 17092.22 23090.51 221
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
TSAR-MVS + GP.83.95 15082.69 16787.72 9189.27 18281.45 6583.72 17081.58 27574.73 15485.66 18586.06 26372.56 20992.69 15475.44 16395.21 15589.01 249
Fast-Effi-MVS+81.04 19280.57 19582.46 19987.50 21763.22 23078.37 27189.63 17868.01 23581.87 24782.08 31882.31 9692.65 15567.10 23688.30 28791.51 198
PLCcopyleft73.85 1682.09 17980.31 20087.45 9590.86 15480.29 7285.88 13090.65 14968.17 23476.32 30086.33 25873.12 20292.61 15661.40 28090.02 26789.44 236
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
IterMVS-LS84.73 12884.98 12783.96 16487.35 21963.66 22483.25 18589.88 17476.06 13489.62 11092.37 13973.40 19992.52 15778.16 13294.77 17495.69 43
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PAPM_NR83.23 16483.19 16083.33 17790.90 15265.98 20788.19 9390.78 14678.13 11680.87 26287.92 23673.49 19692.42 15870.07 21288.40 28291.60 195
hse-mvs283.47 16081.81 18088.47 7991.03 14982.27 5982.61 20083.69 25971.27 20186.70 16386.05 26463.04 25892.41 15978.26 12993.62 20190.71 213
AUN-MVS81.18 19078.78 21888.39 8290.93 15182.14 6082.51 20683.67 26064.69 27080.29 27085.91 26751.07 31592.38 16076.29 15493.63 20090.65 217
GeoE85.45 11485.81 11284.37 15190.08 16967.07 19785.86 13191.39 13072.33 19087.59 14590.25 19784.85 6992.37 16178.00 13591.94 23693.66 115
PAPM71.77 29070.06 30076.92 27986.39 23653.97 31476.62 29486.62 22753.44 33063.97 35884.73 29057.79 29192.34 16239.65 36381.33 33984.45 295
eth_miper_zixun_eth80.84 19580.22 20482.71 19281.41 29960.98 25977.81 27790.14 16967.31 24586.95 15987.24 24764.26 24892.31 16375.23 16591.61 24094.85 69
PAPR78.84 22178.10 22881.07 21885.17 25760.22 26682.21 21690.57 15262.51 27875.32 31284.61 29174.99 17692.30 16459.48 29188.04 28990.68 215
V4283.47 16083.37 15783.75 16983.16 28663.33 22881.31 22890.23 16669.51 22190.91 8390.81 18374.16 18692.29 16580.06 10690.22 26595.62 46
QAPM82.59 17182.59 17082.58 19586.44 23566.69 20289.94 6090.36 15767.97 23784.94 19792.58 13272.71 20692.18 16670.63 20887.73 29388.85 250
CSCG86.26 10086.47 10085.60 13190.87 15374.26 13087.98 9591.85 11680.35 8589.54 11688.01 23279.09 13892.13 16775.51 16195.06 16290.41 223
TAPA-MVS77.73 1285.71 11184.83 13088.37 8388.78 19279.72 7687.15 10993.50 6269.17 22385.80 18489.56 20980.76 12492.13 16773.21 18995.51 14593.25 130
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
thisisatest051573.00 28170.52 29580.46 22981.45 29859.90 26973.16 32474.31 31757.86 30876.08 30477.78 34537.60 36292.12 16965.00 25291.45 24389.35 238
bset_n11_16_dypcd79.19 21777.97 22982.86 19085.81 25166.85 20175.02 31079.31 28766.07 25383.50 22683.37 30555.04 30692.10 17078.63 12394.99 16589.63 232
RRT_test8_iter0578.08 23177.52 23279.75 23980.84 30852.54 32780.61 23888.96 18867.77 24284.62 20289.29 21333.89 36692.10 17077.59 14094.15 18794.62 73
HyFIR lowres test75.12 26172.66 28082.50 19891.44 13865.19 21272.47 32587.31 21246.79 35580.29 27084.30 29452.70 31092.10 17051.88 33486.73 30090.22 225
Anonymous2023121188.40 7289.62 5884.73 14590.46 16365.27 21188.86 8393.02 8687.15 2593.05 4397.10 682.28 9992.02 17376.70 14997.99 4296.88 23
baseline85.20 11785.93 10983.02 18386.30 24262.37 24384.55 14893.96 4374.48 15887.12 15192.03 14682.30 9791.94 17478.39 12494.21 18594.74 72
EI-MVSNet-Vis-set85.12 11984.53 13986.88 10184.01 27772.76 13983.91 16485.18 24680.44 8388.75 12685.49 27180.08 13291.92 17582.02 8590.85 25795.97 38
EI-MVSNet-UG-set85.04 12284.44 14186.85 10283.87 28072.52 14883.82 16685.15 24780.27 8788.75 12685.45 27579.95 13491.90 17681.92 8890.80 25896.13 33
Regformer-186.00 10585.50 11987.49 9484.18 27476.90 11383.52 17587.94 20782.18 6589.19 11985.07 28482.28 9991.89 17782.40 8292.72 22193.69 114
casdiffmvs85.21 11685.85 11183.31 17886.17 24762.77 23683.03 19193.93 4474.69 15588.21 13892.68 12982.29 9891.89 17777.87 13893.75 19695.27 56
IB-MVS62.13 1971.64 29168.97 30579.66 24280.80 31062.26 24673.94 31776.90 29963.27 27468.63 33976.79 35133.83 36791.84 17959.28 29287.26 29684.88 291
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
UGNet82.78 16881.64 18286.21 11886.20 24676.24 12286.86 11285.68 23877.07 12573.76 32092.82 12369.64 22391.82 18069.04 22393.69 19890.56 219
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
BH-untuned80.96 19380.99 19280.84 22388.55 19568.23 18980.33 24288.46 19472.79 18286.55 16786.76 25374.72 18291.77 18161.79 27588.99 27682.52 322
c3_l81.64 18581.59 18481.79 21080.86 30759.15 27878.61 26890.18 16868.36 23187.20 14987.11 25069.39 22491.62 18278.16 13294.43 18294.60 75
API-MVS82.28 17582.61 16981.30 21386.29 24369.79 17388.71 8787.67 20978.42 11382.15 24384.15 29677.98 14691.59 18365.39 25092.75 21882.51 323
nrg03087.85 8188.49 7485.91 12390.07 17169.73 17587.86 9894.20 2874.04 16192.70 5294.66 5385.88 6591.50 18479.72 11197.32 8096.50 30
AllTest87.97 7987.40 8889.68 5491.59 12683.40 5089.50 7295.44 979.47 9588.00 14093.03 11482.66 9291.47 18570.81 20296.14 12194.16 93
TestCases89.68 5491.59 12683.40 5095.44 979.47 9588.00 14093.03 11482.66 9291.47 18570.81 20296.14 12194.16 93
PVSNet_BlendedMVS78.80 22277.84 23081.65 21184.43 26463.41 22679.49 25490.44 15461.70 28675.43 31087.07 25169.11 22791.44 18760.68 28592.24 22890.11 229
PVSNet_Blended76.49 25075.40 25479.76 23884.43 26463.41 22675.14 30990.44 15457.36 31375.43 31078.30 34469.11 22791.44 18760.68 28587.70 29484.42 296
miper_ehance_all_eth80.34 20680.04 20981.24 21679.82 31958.95 28077.66 27989.66 17765.75 25985.99 18285.11 28068.29 23191.42 18976.03 15692.03 23293.33 125
无先验82.81 19785.62 23958.09 30691.41 19067.95 23484.48 294
112180.86 19479.81 21184.02 16193.93 6078.70 8781.64 22380.18 28355.43 32183.67 22191.15 16971.29 21991.41 19067.95 23493.06 21181.96 328
ambc82.98 18490.55 16264.86 21488.20 9289.15 18689.40 11793.96 9371.67 21891.38 19278.83 12196.55 10392.71 151
UniMVSNet_ETH3D89.12 6490.72 4684.31 15597.00 264.33 22089.67 6688.38 19788.84 1594.29 1997.57 390.48 1491.26 19372.57 19397.65 6297.34 14
miper_enhance_ethall77.83 23376.93 24080.51 22876.15 34658.01 28875.47 30788.82 18958.05 30783.59 22380.69 32764.41 24791.20 19473.16 19092.03 23292.33 168
3Dnovator80.37 784.80 12784.71 13485.06 14086.36 24074.71 12788.77 8690.00 17275.65 14484.96 19593.17 11274.06 18791.19 19578.28 12891.09 24689.29 241
cascas76.29 25374.81 25880.72 22684.47 26362.94 23373.89 31887.34 21155.94 31875.16 31476.53 35363.97 25091.16 19665.00 25290.97 25388.06 256
ET-MVSNet_ETH3D75.28 25872.77 27882.81 19183.03 28968.11 19177.09 28776.51 30360.67 29577.60 29480.52 33138.04 36091.15 19770.78 20490.68 26089.17 242
EG-PatchMatch MVS84.08 14684.11 14783.98 16392.22 10572.61 14582.20 21887.02 22272.63 18488.86 12391.02 17478.52 14191.11 19873.41 18391.09 24688.21 254
WR-MVS83.56 15784.40 14381.06 21993.43 7254.88 31178.67 26785.02 25181.24 7590.74 8591.56 16072.85 20491.08 19968.00 23298.04 3797.23 16
canonicalmvs85.50 11286.14 10683.58 17387.97 20567.13 19687.55 10194.32 2273.44 16988.47 13287.54 24186.45 5891.06 20075.76 16093.76 19492.54 158
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 12893.60 6080.16 8889.13 12193.44 10883.82 7990.98 20183.86 6695.30 15493.60 120
PS-MVSNAJ77.04 24276.53 24478.56 25587.09 22961.40 25075.26 30887.13 21761.25 28874.38 31877.22 35076.94 16190.94 20264.63 25784.83 32083.35 311
xiu_mvs_v2_base77.19 24076.75 24278.52 25687.01 23061.30 25275.55 30687.12 22061.24 28974.45 31678.79 34177.20 15590.93 20364.62 25884.80 32183.32 312
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11393.91 4580.07 9086.75 16293.26 11093.64 290.93 20384.60 5990.75 25993.97 99
v14882.31 17482.48 17281.81 20985.59 25359.66 27181.47 22686.02 23472.85 18188.05 13990.65 18970.73 22190.91 20575.15 16691.79 23794.87 65
VDD-MVS84.23 14384.58 13883.20 18091.17 14665.16 21383.25 18584.97 25479.79 9187.18 15094.27 7274.77 18190.89 20669.24 21896.54 10493.55 124
cl2278.97 21978.21 22781.24 21677.74 33359.01 27977.46 28587.13 21765.79 25684.32 20985.10 28158.96 28290.88 20775.36 16492.03 23293.84 104
alignmvs83.94 15183.98 15083.80 16687.80 21067.88 19384.54 15091.42 12973.27 17688.41 13487.96 23372.33 21090.83 20876.02 15794.11 18892.69 152
ITE_SJBPF90.11 5090.72 15784.97 3890.30 16181.56 7290.02 9691.20 16882.40 9590.81 20973.58 18194.66 17694.56 76
BH-RMVSNet80.53 20080.22 20481.49 21287.19 22366.21 20577.79 27886.23 23174.21 16083.69 22088.50 22673.25 20190.75 21063.18 26687.90 29087.52 264
BH-w/o76.57 24876.07 24978.10 26586.88 23365.92 20877.63 28086.33 22965.69 26080.89 26179.95 33668.97 22990.74 21153.01 32785.25 31377.62 348
TR-MVS76.77 24675.79 25079.72 24086.10 24965.79 20977.14 28683.02 26365.20 26781.40 25682.10 31766.30 24090.73 21255.57 31085.27 31282.65 318
GBi-Net82.02 18082.07 17681.85 20686.38 23761.05 25686.83 11488.27 20072.43 18586.00 17995.64 3063.78 25290.68 21365.95 24493.34 20393.82 107
test182.02 18082.07 17681.85 20686.38 23761.05 25686.83 11488.27 20072.43 18586.00 17995.64 3063.78 25290.68 21365.95 24493.34 20393.82 107
FMVSNet184.55 13285.45 12081.85 20690.27 16661.05 25686.83 11488.27 20078.57 11189.66 10995.64 3075.43 17290.68 21369.09 22295.33 15093.82 107
VDDNet84.35 13785.39 12181.25 21495.13 3359.32 27485.42 13781.11 27686.41 2987.41 14896.21 1973.61 19290.61 21666.33 24296.85 9293.81 110
MAR-MVS80.24 20978.74 22084.73 14586.87 23478.18 9185.75 13287.81 20865.67 26177.84 29078.50 34373.79 19190.53 21761.59 27990.87 25685.49 286
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
MVS_Test82.47 17383.22 15880.22 23382.62 29157.75 29182.54 20591.96 11471.16 20582.89 23392.52 13577.41 15390.50 21880.04 10787.84 29292.40 164
MVS_111021_HR84.63 12984.34 14585.49 13490.18 16875.86 12379.23 26087.13 21773.35 17085.56 18889.34 21183.60 8390.50 21876.64 15094.05 19090.09 230
Anonymous2024052986.20 10387.13 8983.42 17690.19 16764.55 21884.55 14890.71 14785.85 3189.94 10095.24 3982.13 10190.40 22069.19 22196.40 11095.31 54
Regformer-385.06 12184.67 13686.22 11684.27 27073.43 13484.07 15685.26 24480.77 8288.62 12985.48 27280.56 12890.39 22181.99 8691.04 24894.85 69
EI-MVSNet82.61 17082.42 17383.20 18083.25 28463.66 22483.50 17885.07 24876.06 13486.55 16785.10 28173.41 19790.25 22278.15 13490.67 26195.68 44
MVSTER77.09 24175.70 25281.25 21475.27 35361.08 25577.49 28485.07 24860.78 29386.55 16788.68 22443.14 35190.25 22273.69 18090.67 26192.42 162
Fast-Effi-MVS+-dtu82.54 17281.41 18685.90 12485.60 25276.53 11883.07 19089.62 17973.02 18079.11 28283.51 30080.74 12590.24 22468.76 22589.29 27290.94 207
SD-MVS88.96 6789.88 5386.22 11691.63 12577.07 11189.82 6293.77 5178.90 10592.88 4592.29 14186.11 6290.22 22586.24 4197.24 8291.36 200
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
FMVSNet281.31 18881.61 18380.41 23086.38 23758.75 28583.93 16386.58 22872.43 18587.65 14492.98 11663.78 25290.22 22566.86 23793.92 19292.27 173
cl____80.42 20380.23 20281.02 22079.99 31759.25 27577.07 28887.02 22267.37 24486.18 17689.21 21563.08 25790.16 22776.31 15395.80 13793.65 117
DIV-MVS_self_test80.43 20280.23 20281.02 22079.99 31759.25 27577.07 28887.02 22267.38 24386.19 17489.22 21463.09 25690.16 22776.32 15295.80 13793.66 115
OpenMVScopyleft76.72 1381.98 18282.00 17881.93 20384.42 26668.22 19088.50 9189.48 18166.92 24781.80 25191.86 14972.59 20890.16 22771.19 20191.25 24587.40 266
xiu_mvs_v1_base_debu80.84 19580.14 20682.93 18688.31 19971.73 16079.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
xiu_mvs_v1_base80.84 19580.14 20682.93 18688.31 19971.73 16079.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
xiu_mvs_v1_base_debi80.84 19580.14 20682.93 18688.31 19971.73 16079.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
FMVSNet378.80 22278.55 22279.57 24382.89 29056.89 29881.76 22085.77 23769.04 22686.00 17990.44 19351.75 31390.09 23365.95 24493.34 20391.72 191
test111178.53 22678.85 21777.56 27392.22 10547.49 35382.61 20069.24 34772.43 18585.28 19194.20 7851.91 31190.07 23465.36 25196.45 10895.11 61
LFMVS80.15 21280.56 19678.89 24989.19 18455.93 30285.22 13973.78 32282.96 5684.28 21392.72 12757.38 29290.07 23463.80 26095.75 14090.68 215
test_yl78.71 22478.51 22379.32 24684.32 26858.84 28278.38 26985.33 24275.99 13782.49 23686.57 25458.01 28690.02 23662.74 26792.73 21989.10 244
DCV-MVSNet78.71 22478.51 22379.32 24684.32 26858.84 28278.38 26985.33 24275.99 13782.49 23686.57 25458.01 28690.02 23662.74 26792.73 21989.10 244
ECVR-MVScopyleft78.44 22778.63 22177.88 26991.85 11948.95 34783.68 17269.91 34572.30 19284.26 21594.20 7851.89 31289.82 23863.58 26196.02 12594.87 65
test250674.12 27273.39 27276.28 28891.85 11944.20 36384.06 15848.20 37572.30 19281.90 24694.20 7827.22 37689.77 23964.81 25496.02 12594.87 65
MVS73.21 27972.59 28175.06 29680.97 30460.81 26281.64 22385.92 23646.03 35871.68 32977.54 34668.47 23089.77 23955.70 30985.39 31074.60 353
LCM-MVSNet-Re83.48 15985.06 12578.75 25285.94 25055.75 30580.05 24494.27 2376.47 12996.09 594.54 5983.31 8689.75 24159.95 28894.89 17090.75 212
EGC-MVSNET74.79 26769.99 30189.19 6494.89 3987.00 1491.89 3586.28 2301.09 3732.23 37595.98 2381.87 11189.48 24279.76 11095.96 12891.10 202
CANet_DTU77.81 23577.05 23880.09 23581.37 30059.90 26983.26 18488.29 19969.16 22467.83 34383.72 29860.93 26589.47 24369.22 22089.70 26990.88 209
GA-MVS75.83 25574.61 25979.48 24581.87 29459.25 27573.42 32182.88 26468.68 23079.75 27581.80 32050.62 31789.46 24466.85 23885.64 30989.72 231
MVP-Stereo75.81 25673.51 27182.71 19289.35 17973.62 13280.06 24385.20 24560.30 29673.96 31987.94 23457.89 29089.45 24552.02 33074.87 35785.06 290
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
Vis-MVSNet (Re-imp)77.82 23477.79 23177.92 26888.82 19151.29 33783.28 18371.97 33574.04 16182.23 24189.78 20657.38 29289.41 24657.22 30195.41 14793.05 136
MSLP-MVS++85.00 12486.03 10881.90 20491.84 12171.56 16586.75 11893.02 8675.95 13987.12 15189.39 21077.98 14689.40 24777.46 14294.78 17284.75 293
thres600view775.97 25475.35 25677.85 27187.01 23051.84 33380.45 24073.26 32675.20 15083.10 23186.31 26045.54 33689.05 24855.03 31692.24 22892.66 153
jason77.42 23875.75 25182.43 20087.10 22869.27 18077.99 27481.94 27251.47 34377.84 29085.07 28460.32 27089.00 24970.74 20689.27 27489.03 247
jason: jason.
lupinMVS76.37 25274.46 26282.09 20185.54 25469.26 18176.79 29080.77 28050.68 34976.23 30182.82 31158.69 28388.94 25069.85 21388.77 27988.07 255
PMVScopyleft80.48 690.08 4190.66 4788.34 8496.71 392.97 190.31 5289.57 18088.51 1990.11 9395.12 4290.98 788.92 25177.55 14197.07 8683.13 316
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
thres100view90075.45 25775.05 25776.66 28487.27 22051.88 33281.07 23373.26 32675.68 14383.25 22886.37 25745.54 33688.80 25251.98 33190.99 25089.31 239
tfpn200view974.86 26574.23 26476.74 28386.24 24452.12 32979.24 25873.87 32073.34 17181.82 24984.60 29246.02 33088.80 25251.98 33190.99 25089.31 239
thres40075.14 25974.23 26477.86 27086.24 24452.12 32979.24 25873.87 32073.34 17181.82 24984.60 29246.02 33088.80 25251.98 33190.99 25092.66 153
TAMVS78.08 23176.36 24583.23 17990.62 15972.87 13879.08 26180.01 28561.72 28581.35 25786.92 25263.96 25188.78 25550.61 33593.01 21388.04 257
CDS-MVSNet77.32 23975.40 25483.06 18289.00 18772.48 14977.90 27682.17 27060.81 29278.94 28383.49 30159.30 27888.76 25654.64 31992.37 22587.93 260
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
OpenMVS_ROBcopyleft70.19 1777.77 23677.46 23378.71 25384.39 26761.15 25481.18 23282.52 26662.45 28083.34 22787.37 24466.20 24188.66 25764.69 25685.02 31586.32 276
baseline269.77 30466.89 31478.41 25979.51 32258.09 28776.23 30069.57 34657.50 31264.82 35677.45 34846.02 33088.44 25853.08 32477.83 35088.70 251
tpm268.45 30966.83 31573.30 30378.93 33048.50 34879.76 24871.76 33747.50 35469.92 33683.60 29942.07 35388.40 25948.44 34579.51 34383.01 317
新几何182.95 18593.96 5978.56 8980.24 28255.45 32083.93 21991.08 17171.19 22088.33 26065.84 24793.07 21081.95 329
ACMH76.49 1489.34 6091.14 3483.96 16492.50 9570.36 17289.55 6993.84 5081.89 6994.70 1395.44 3490.69 988.31 26183.33 7198.30 2693.20 131
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
thres20072.34 28671.55 29174.70 29883.48 28151.60 33475.02 31073.71 32370.14 21778.56 28680.57 33046.20 32888.20 26246.99 35089.29 27284.32 297
gm-plane-assit75.42 35244.97 36252.17 33772.36 36087.90 26354.10 320
EU-MVSNet75.12 26174.43 26377.18 27683.11 28859.48 27385.71 13482.43 26839.76 36785.64 18688.76 22244.71 34787.88 26473.86 17785.88 30884.16 299
RPSCF88.00 7886.93 9591.22 3190.08 16989.30 589.68 6591.11 13779.26 10089.68 10794.81 5282.44 9487.74 26576.54 15188.74 28196.61 28
D2MVS76.84 24475.67 25380.34 23180.48 31562.16 24773.50 32084.80 25657.61 31182.24 24087.54 24151.31 31487.65 26670.40 21193.19 20891.23 201
CostFormer69.98 30368.68 30873.87 30077.14 33750.72 34279.26 25774.51 31551.94 34170.97 33384.75 28945.16 34487.49 26755.16 31579.23 34683.40 310
CVMVSNet72.62 28371.41 29276.28 28883.25 28460.34 26583.50 17879.02 29137.77 36876.33 29985.10 28149.60 32087.41 26870.54 20977.54 35381.08 340
diffmvs80.40 20480.48 19980.17 23479.02 32960.04 26777.54 28290.28 16566.65 25082.40 23887.33 24673.50 19487.35 26977.98 13689.62 27093.13 133
VPA-MVSNet83.47 16084.73 13179.69 24190.29 16557.52 29281.30 23088.69 19276.29 13087.58 14694.44 6380.60 12787.20 27066.60 24196.82 9594.34 87
patchmatchnet-post81.71 32145.93 33387.01 271
SCA73.32 27672.57 28275.58 29381.62 29655.86 30378.89 26371.37 34061.73 28474.93 31583.42 30360.46 26887.01 27158.11 29882.63 33583.88 300
mvs_anonymous78.13 23078.76 21976.23 29079.24 32650.31 34478.69 26684.82 25561.60 28783.09 23292.82 12373.89 19087.01 27168.33 23186.41 30391.37 199
TinyColmap81.25 18982.34 17477.99 26785.33 25660.68 26382.32 21188.33 19871.26 20386.97 15892.22 14577.10 15886.98 27462.37 26995.17 15786.31 277
TransMVSNet (Re)84.02 14885.74 11478.85 25091.00 15055.20 31082.29 21287.26 21379.65 9488.38 13595.52 3383.00 8886.88 27567.97 23396.60 10294.45 83
LF4IMVS82.75 16981.93 17985.19 13682.08 29280.15 7385.53 13588.76 19168.01 23585.58 18787.75 23771.80 21686.85 27674.02 17493.87 19388.58 252
pmmvs686.52 9688.06 7881.90 20492.22 10562.28 24584.66 14689.15 18683.54 4989.85 10297.32 488.08 3886.80 27770.43 21097.30 8196.62 27
KD-MVS_self_test81.93 18383.14 16178.30 26184.75 26152.75 32380.37 24189.42 18370.24 21690.26 9293.39 10974.55 18586.77 27868.61 22896.64 9995.38 51
MVS_030478.17 22977.23 23780.99 22284.13 27669.07 18781.39 22780.81 27976.28 13167.53 34589.11 21862.87 26086.77 27860.90 28492.01 23587.13 269
1112_ss74.82 26673.74 26778.04 26689.57 17760.04 26776.49 29687.09 22154.31 32573.66 32179.80 33760.25 27186.76 28058.37 29484.15 32487.32 267
USDC76.63 24776.73 24376.34 28783.46 28257.20 29580.02 24588.04 20452.14 33983.65 22291.25 16563.24 25586.65 28154.66 31894.11 18885.17 288
tfpnnormal81.79 18482.95 16378.31 26088.93 18955.40 30680.83 23782.85 26576.81 12785.90 18394.14 8374.58 18486.51 28266.82 24095.68 14393.01 138
VPNet80.25 20881.68 18175.94 29192.46 9647.98 35176.70 29281.67 27473.45 16884.87 19892.82 12374.66 18386.51 28261.66 27796.85 9293.33 125
testdata286.43 28463.52 263
MSDG80.06 21479.99 21080.25 23283.91 27968.04 19277.51 28389.19 18577.65 11881.94 24583.45 30276.37 16986.31 28563.31 26586.59 30186.41 275
Anonymous20240521180.51 20181.19 19078.49 25788.48 19657.26 29476.63 29382.49 26781.21 7684.30 21292.24 14467.99 23286.24 28662.22 27095.13 15891.98 185
MVS_111021_LR84.28 14083.76 15385.83 12789.23 18383.07 5380.99 23483.56 26172.71 18386.07 17889.07 21981.75 11386.19 28777.11 14793.36 20288.24 253
Baseline_NR-MVSNet84.00 14985.90 11078.29 26291.47 13753.44 31982.29 21287.00 22579.06 10389.55 11495.72 2877.20 15586.14 28872.30 19598.51 1795.28 55
EPNet_dtu72.87 28271.33 29377.49 27577.72 33460.55 26482.35 21075.79 30666.49 25158.39 36881.06 32653.68 30885.98 28953.55 32292.97 21585.95 280
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
ANet_high83.17 16685.68 11675.65 29281.24 30145.26 36079.94 24692.91 8983.83 4391.33 7596.88 1080.25 13185.92 29068.89 22495.89 13395.76 42
Test_1112_low_res73.90 27473.08 27576.35 28690.35 16455.95 30173.40 32286.17 23250.70 34873.14 32285.94 26558.31 28585.90 29156.51 30483.22 32887.20 268
MIMVSNet183.63 15684.59 13780.74 22494.06 5762.77 23682.72 19884.53 25777.57 12190.34 9095.92 2476.88 16785.83 29261.88 27497.42 7793.62 119
tpmvs70.16 29969.56 30371.96 31274.71 35748.13 34979.63 24975.45 31165.02 26870.26 33481.88 31945.34 34185.68 29358.34 29575.39 35682.08 327
pm-mvs183.69 15484.95 12879.91 23690.04 17359.66 27182.43 20887.44 21075.52 14587.85 14295.26 3881.25 11985.65 29468.74 22696.04 12494.42 84
pmmvs-eth3d78.42 22877.04 23982.57 19787.44 21874.41 12980.86 23679.67 28655.68 31984.69 20190.31 19660.91 26685.42 29562.20 27191.59 24187.88 261
testdata79.54 24492.87 8572.34 15180.14 28459.91 29985.47 19091.75 15667.96 23385.24 29668.57 23092.18 23181.06 342
131473.22 27872.56 28375.20 29480.41 31657.84 28981.64 22385.36 24151.68 34273.10 32376.65 35261.45 26485.19 29763.54 26279.21 34782.59 319
CHOSEN 1792x268872.45 28470.56 29478.13 26490.02 17463.08 23168.72 33883.16 26242.99 36475.92 30585.46 27457.22 29485.18 29849.87 33981.67 33686.14 278
pmmvs474.92 26472.98 27780.73 22584.95 25871.71 16376.23 30077.59 29652.83 33377.73 29386.38 25656.35 29884.97 29957.72 30087.05 29885.51 285
旧先验281.73 22156.88 31686.54 17284.90 30072.81 191
DWT-MVSNet_test66.43 31764.37 32372.63 30774.86 35650.86 34176.52 29572.74 32954.06 32765.50 35068.30 36432.13 36984.84 30161.63 27873.59 35882.19 325
HY-MVS64.64 1873.03 28072.47 28474.71 29783.36 28354.19 31382.14 21981.96 27156.76 31769.57 33786.21 26260.03 27284.83 30249.58 34082.65 33385.11 289
ab-mvs79.67 21580.56 19676.99 27788.48 19656.93 29684.70 14586.06 23368.95 22780.78 26393.08 11375.30 17484.62 30356.78 30290.90 25589.43 237
IterMVS76.91 24376.34 24678.64 25480.91 30564.03 22276.30 29879.03 29064.88 26983.11 23089.16 21659.90 27484.46 30468.61 22885.15 31487.42 265
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
VNet79.31 21680.27 20176.44 28587.92 20753.95 31575.58 30584.35 25874.39 15982.23 24190.72 18572.84 20584.39 30560.38 28793.98 19190.97 206
ppachtmachnet_test74.73 26874.00 26676.90 28080.71 31156.89 29871.53 32978.42 29258.24 30579.32 28082.92 31057.91 28984.26 30665.60 24991.36 24489.56 234
CR-MVSNet74.00 27373.04 27676.85 28279.58 32062.64 23882.58 20276.90 29950.50 35075.72 30792.38 13648.07 32384.07 30768.72 22782.91 33183.85 303
Patchmtry76.56 24977.46 23373.83 30179.37 32546.60 35782.41 20976.90 29973.81 16485.56 18892.38 13648.07 32383.98 30863.36 26495.31 15390.92 208
gg-mvs-nofinetune68.96 30869.11 30468.52 32776.12 34745.32 35983.59 17455.88 37086.68 2664.62 35797.01 730.36 37183.97 30944.78 35582.94 33076.26 350
GG-mvs-BLEND67.16 33073.36 36046.54 35884.15 15555.04 37158.64 36761.95 36829.93 37283.87 31038.71 36576.92 35471.07 357
PM-MVS80.20 21079.00 21683.78 16888.17 20386.66 1881.31 22866.81 35569.64 22088.33 13690.19 19964.58 24683.63 31171.99 19890.03 26681.06 342
JIA-IIPM69.41 30666.64 31877.70 27273.19 36171.24 16675.67 30365.56 35670.42 21165.18 35292.97 11833.64 36883.06 31253.52 32369.61 36678.79 347
CMPMVSbinary59.41 2075.12 26173.57 26979.77 23775.84 34867.22 19581.21 23182.18 26950.78 34776.50 29787.66 23955.20 30482.99 31362.17 27390.64 26489.09 246
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
Patchmatch-RL test74.48 26973.68 26876.89 28184.83 26066.54 20372.29 32669.16 34857.70 30986.76 16186.33 25845.79 33582.59 31469.63 21590.65 26381.54 333
KD-MVS_2432*160066.87 31465.81 31970.04 31567.50 37047.49 35362.56 35379.16 28861.21 29077.98 28880.61 32825.29 37882.48 31553.02 32584.92 31680.16 345
miper_refine_blended66.87 31465.81 31970.04 31567.50 37047.49 35362.56 35379.16 28861.21 29077.98 28880.61 32825.29 37882.48 31553.02 32584.92 31680.16 345
tpm cat166.76 31665.21 32271.42 31377.09 33850.62 34378.01 27373.68 32444.89 36068.64 33879.00 34045.51 33882.42 31749.91 33870.15 36381.23 339
MS-PatchMatch70.93 29570.22 29873.06 30581.85 29562.50 24173.82 31977.90 29452.44 33675.92 30581.27 32455.67 30181.75 31855.37 31277.70 35174.94 352
CNLPA83.55 15883.10 16284.90 14189.34 18083.87 4884.54 15088.77 19079.09 10283.54 22588.66 22574.87 17781.73 31966.84 23992.29 22689.11 243
baseline173.26 27773.54 27072.43 31084.92 25947.79 35279.89 24774.00 31865.93 25478.81 28486.28 26156.36 29781.63 32056.63 30379.04 34887.87 262
MDA-MVSNet-bldmvs77.47 23776.90 24179.16 24879.03 32864.59 21566.58 34675.67 30873.15 17888.86 12388.99 22066.94 23781.23 32164.71 25588.22 28891.64 194
CL-MVSNet_self_test76.81 24577.38 23575.12 29586.90 23251.34 33573.20 32380.63 28168.30 23381.80 25188.40 22766.92 23880.90 32255.35 31394.90 16993.12 134
MDTV_nov1_ep1368.29 31078.03 33243.87 36474.12 31672.22 33352.17 33767.02 34685.54 27045.36 34080.85 32355.73 30784.42 323
pmmvs570.73 29670.07 29972.72 30677.03 33952.73 32474.14 31575.65 30950.36 35172.17 32785.37 27855.42 30380.67 32452.86 32887.59 29584.77 292
Gipumacopyleft84.44 13586.33 10178.78 25184.20 27373.57 13389.55 6990.44 15484.24 3984.38 20794.89 4676.35 17080.40 32576.14 15596.80 9682.36 324
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
test_post178.85 2653.13 37345.19 34380.13 32658.11 298
PatchmatchNetpermissive69.71 30568.83 30672.33 31177.66 33553.60 31779.29 25669.99 34457.66 31072.53 32582.93 30946.45 32780.08 32760.91 28372.09 36083.31 313
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
FMVSNet572.10 28871.69 28873.32 30281.57 29753.02 32276.77 29178.37 29363.31 27376.37 29891.85 15036.68 36378.98 32847.87 34792.45 22487.95 259
our_test_371.85 28971.59 28972.62 30880.71 31153.78 31669.72 33671.71 33958.80 30278.03 28780.51 33256.61 29678.84 32962.20 27186.04 30785.23 287
miper_lstm_enhance76.45 25176.10 24877.51 27476.72 34160.97 26064.69 34985.04 25063.98 27283.20 22988.22 22956.67 29578.79 33073.22 18493.12 20992.78 147
PatchMatch-RL74.48 26973.22 27478.27 26387.70 21285.26 3575.92 30270.09 34364.34 27176.09 30381.25 32565.87 24478.07 33153.86 32183.82 32571.48 356
Anonymous2024052180.18 21181.25 18776.95 27883.15 28760.84 26182.46 20785.99 23568.76 22986.78 16093.73 10559.13 28077.44 33273.71 17997.55 6992.56 156
ADS-MVSNet265.87 32163.64 32672.55 30973.16 36256.92 29767.10 34474.81 31249.74 35266.04 34882.97 30746.71 32577.26 33342.29 35869.96 36483.46 308
test_post3.10 37445.43 33977.22 334
MVS-HIRNet61.16 33062.92 32755.87 35079.09 32735.34 37271.83 32757.98 36946.56 35659.05 36591.14 17049.95 31976.43 33538.74 36471.92 36155.84 368
MIMVSNet71.09 29471.59 28969.57 32087.23 22150.07 34578.91 26271.83 33660.20 29871.26 33091.76 15555.08 30576.09 33641.06 36187.02 29982.54 321
tpm67.95 31068.08 31167.55 32978.74 33143.53 36575.60 30467.10 35454.92 32372.23 32688.10 23142.87 35275.97 33752.21 32980.95 34283.15 315
FPMVS72.29 28772.00 28673.14 30488.63 19385.00 3774.65 31467.39 34971.94 19877.80 29287.66 23950.48 31875.83 33849.95 33779.51 34358.58 367
PatchT70.52 29772.76 27963.79 33979.38 32433.53 37377.63 28065.37 35773.61 16671.77 32892.79 12644.38 34875.65 33964.53 25985.37 31182.18 326
PVSNet58.17 2166.41 31865.63 32168.75 32481.96 29349.88 34662.19 35572.51 33251.03 34568.04 34175.34 35650.84 31674.77 34045.82 35482.96 32981.60 332
tpmrst66.28 31966.69 31765.05 33772.82 36539.33 36878.20 27270.69 34253.16 33267.88 34280.36 33348.18 32274.75 34158.13 29770.79 36281.08 340
test20.0373.75 27574.59 26171.22 31481.11 30351.12 33970.15 33472.10 33470.42 21180.28 27291.50 16164.21 24974.72 34246.96 35194.58 17887.82 263
pmmvs362.47 32460.02 33669.80 31871.58 36864.00 22370.52 33258.44 36839.77 36666.05 34775.84 35427.10 37772.28 34346.15 35284.77 32273.11 354
Anonymous2023120671.38 29371.88 28769.88 31786.31 24154.37 31270.39 33374.62 31352.57 33576.73 29688.76 22259.94 27372.06 34444.35 35693.23 20783.23 314
new-patchmatchnet70.10 30073.37 27360.29 34781.23 30216.95 37759.54 35774.62 31362.93 27580.97 25987.93 23562.83 26171.90 34555.24 31495.01 16492.00 182
dp60.70 33360.29 33561.92 34372.04 36738.67 37070.83 33064.08 35851.28 34460.75 36177.28 34936.59 36471.58 34647.41 34862.34 36975.52 351
UnsupCasMVSNet_bld69.21 30769.68 30267.82 32879.42 32351.15 33867.82 34375.79 30654.15 32677.47 29585.36 27959.26 27970.64 34748.46 34479.35 34581.66 331
test-LLR67.21 31266.74 31668.63 32576.45 34455.21 30867.89 34067.14 35262.43 28165.08 35372.39 35843.41 34969.37 34861.00 28184.89 31881.31 335
test-mter65.00 32263.79 32568.63 32576.45 34455.21 30867.89 34067.14 35250.98 34665.08 35372.39 35828.27 37469.37 34861.00 28184.89 31881.31 335
XXY-MVS74.44 27176.19 24769.21 32184.61 26252.43 32871.70 32877.18 29860.73 29480.60 26490.96 17875.44 17169.35 35056.13 30688.33 28385.86 282
UnsupCasMVSNet_eth71.63 29272.30 28569.62 31976.47 34352.70 32570.03 33580.97 27859.18 30079.36 27988.21 23060.50 26769.12 35158.33 29677.62 35287.04 270
WTY-MVS67.91 31168.35 30966.58 33280.82 30948.12 35065.96 34772.60 33053.67 32971.20 33181.68 32258.97 28169.06 35248.57 34381.67 33682.55 320
test0.0.03 164.66 32364.36 32465.57 33575.03 35546.89 35664.69 34961.58 36462.43 28171.18 33277.54 34643.41 34968.47 35340.75 36282.65 33381.35 334
CHOSEN 280x42059.08 33456.52 33966.76 33176.51 34264.39 21949.62 36559.00 36643.86 36255.66 37068.41 36335.55 36568.21 35443.25 35776.78 35567.69 361
YYNet170.06 30170.44 29668.90 32273.76 35953.42 32058.99 36067.20 35158.42 30487.10 15385.39 27759.82 27567.32 35559.79 28983.50 32785.96 279
MDA-MVSNet_test_wron70.05 30270.44 29668.88 32373.84 35853.47 31858.93 36167.28 35058.43 30387.09 15485.40 27659.80 27667.25 35659.66 29083.54 32685.92 281
EMVS61.10 33160.81 33261.99 34265.96 37355.86 30353.10 36458.97 36767.06 24656.89 36963.33 36640.98 35467.03 35754.79 31786.18 30663.08 362
testgi72.36 28574.61 25965.59 33480.56 31342.82 36768.29 33973.35 32566.87 24881.84 24889.93 20472.08 21366.92 35846.05 35392.54 22387.01 271
EPMVS62.47 32462.63 32862.01 34170.63 36938.74 36974.76 31252.86 37253.91 32867.71 34480.01 33539.40 35766.60 35955.54 31168.81 36780.68 344
PMMVS61.65 32760.38 33365.47 33665.40 37469.26 18163.97 35161.73 36336.80 36960.11 36368.43 36259.42 27766.35 36048.97 34278.57 34960.81 364
E-PMN61.59 32861.62 33061.49 34466.81 37255.40 30653.77 36360.34 36566.80 24958.90 36665.50 36540.48 35666.12 36155.72 30886.25 30562.95 363
PVSNet_051.08 2256.10 33554.97 34059.48 34875.12 35453.28 32155.16 36261.89 36144.30 36159.16 36462.48 36754.22 30765.91 36235.40 36747.01 37059.25 366
sss66.92 31367.26 31365.90 33377.23 33651.10 34064.79 34871.72 33852.12 34070.13 33580.18 33457.96 28865.36 36350.21 33681.01 34181.25 337
TESTMET0.1,161.29 32960.32 33464.19 33872.06 36651.30 33667.89 34062.09 36045.27 35960.65 36269.01 36127.93 37564.74 36456.31 30581.65 33876.53 349
ADS-MVSNet61.90 32662.19 32961.03 34673.16 36236.42 37167.10 34461.75 36249.74 35266.04 34882.97 30746.71 32563.21 36542.29 35869.96 36483.46 308
DSMNet-mixed60.98 33261.61 33159.09 34972.88 36445.05 36174.70 31346.61 37626.20 37065.34 35190.32 19555.46 30263.12 36641.72 36081.30 34069.09 360
Patchmatch-test65.91 32067.38 31261.48 34575.51 35043.21 36668.84 33763.79 35962.48 27972.80 32483.42 30344.89 34659.52 36748.27 34686.45 30281.70 330
N_pmnet70.20 29868.80 30774.38 29980.91 30584.81 4059.12 35976.45 30455.06 32275.31 31382.36 31655.74 30054.82 36847.02 34987.24 29783.52 307
wuyk23d75.13 26079.30 21462.63 34075.56 34975.18 12680.89 23573.10 32875.06 15294.76 1295.32 3587.73 4252.85 36934.16 36897.11 8559.85 365
PMMVS255.64 33759.27 33744.74 35364.30 37512.32 37840.60 36649.79 37453.19 33165.06 35584.81 28853.60 30949.76 37032.68 37089.41 27172.15 355
new_pmnet55.69 33657.66 33849.76 35275.47 35130.59 37459.56 35651.45 37343.62 36362.49 35975.48 35540.96 35549.15 37137.39 36672.52 35969.55 359
MVEpermissive40.22 2351.82 33850.47 34155.87 35062.66 37651.91 33131.61 36839.28 37740.65 36550.76 37174.98 35756.24 29944.67 37233.94 36964.11 36871.04 358
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method30.46 33929.60 34233.06 35417.99 3783.84 38013.62 36973.92 3192.79 37218.29 37453.41 36928.53 37343.25 37322.56 37135.27 37252.11 369
DeepMVS_CXcopyleft24.13 35532.95 37729.49 37521.63 38012.07 37137.95 37245.07 37030.84 37019.21 37417.94 37333.06 37323.69 370
tmp_tt20.25 34124.50 3447.49 3564.47 3798.70 37934.17 36725.16 3791.00 37432.43 37318.49 37139.37 3589.21 37521.64 37243.75 3714.57 371
test1236.27 3448.08 3470.84 3571.11 3810.57 38162.90 3520.82 3810.54 3751.07 3772.75 3761.26 3800.30 3761.04 3741.26 3751.66 372
testmvs5.91 3457.65 3480.72 3581.20 3800.37 38259.14 3580.67 3820.49 3761.11 3762.76 3750.94 3810.24 3771.02 3751.47 3741.55 373
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
cdsmvs_eth3d_5k20.81 34027.75 3430.00 3590.00 3820.00 3830.00 37085.44 2400.00 3770.00 37882.82 31181.46 1150.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas6.41 3438.55 3460.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37776.94 1610.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs-re6.65 3428.87 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37879.80 3370.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
test_one_060193.85 6373.27 13694.11 3786.57 2793.47 4094.64 5788.42 27
eth-test20.00 382
eth-test0.00 382
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6490.64 1187.16 2897.60 6692.73 148
IU-MVS94.18 5072.64 14290.82 14556.98 31589.67 10885.78 4797.92 4893.28 127
save fliter93.75 6477.44 10386.31 12589.72 17570.80 207
test072694.16 5372.56 14690.63 4593.90 4683.61 4793.75 3194.49 6189.76 19
GSMVS83.88 300
test_part293.86 6277.77 9892.84 48
sam_mvs146.11 32983.88 300
sam_mvs45.92 334
MTGPAbinary91.81 119
MTMP90.66 4333.14 378
test9_res80.83 9996.45 10890.57 218
agg_prior279.68 11296.16 12090.22 225
test_prior478.97 8484.59 147
test_prior283.37 18175.43 14684.58 20391.57 15881.92 10979.54 11496.97 88
新几何281.72 222
旧先验191.97 11271.77 15981.78 27391.84 15173.92 18993.65 19983.61 306
原ACMM282.26 215
test22293.31 7576.54 11679.38 25577.79 29552.59 33482.36 23990.84 18266.83 23991.69 23981.25 337
segment_acmp81.94 106
testdata179.62 25073.95 163
plane_prior793.45 7077.31 107
plane_prior692.61 9176.54 11674.84 178
plane_prior492.95 119
plane_prior376.85 11477.79 11786.55 167
plane_prior289.45 7479.44 97
plane_prior192.83 89
plane_prior76.42 11987.15 10975.94 14095.03 163
n20.00 383
nn0.00 383
door-mid74.45 316
test1191.46 126
door72.57 331
HQP5-MVS70.66 169
HQP-NCC91.19 14384.77 14273.30 17380.55 267
ACMP_Plane91.19 14384.77 14273.30 17380.55 267
BP-MVS77.30 145
HQP3-MVS92.68 9794.47 180
HQP2-MVS72.10 211
NP-MVS91.95 11374.55 12890.17 201
MDTV_nov1_ep13_2view27.60 37670.76 33146.47 35761.27 36045.20 34249.18 34183.75 305
ACMMP++_ref95.74 141
ACMMP++97.35 78
Test By Simon79.09 138