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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MG-MVS87.11 3386.27 4489.62 897.79 176.27 494.96 4494.49 4178.74 6783.87 6892.94 11764.34 8396.94 10375.19 14194.09 4095.66 47
MCST-MVS91.08 191.46 289.94 497.66 273.37 997.13 295.58 889.33 185.77 4496.26 2772.84 2799.38 192.64 695.93 1097.08 9
OPU-MVS89.97 397.52 373.15 1396.89 497.00 983.82 299.15 295.72 197.63 397.62 2
DVP-MVS++90.53 391.09 488.87 1497.31 469.91 3793.96 6994.37 4972.48 16692.07 696.85 1283.82 299.15 291.53 1697.42 497.55 4
MSC_two_6792asdad89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
No_MVS89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
DP-MVS Recon82.73 10481.65 11185.98 8297.31 467.06 10895.15 3591.99 13969.08 24476.50 14293.89 9954.48 19598.20 3670.76 18185.66 13692.69 157
testtj86.62 4386.66 4286.50 6696.95 865.70 14394.41 5193.45 8267.74 25486.19 3996.39 2364.38 8297.91 4687.33 4993.14 5895.90 42
ETH3 D test640090.27 690.44 889.75 696.82 974.33 795.89 1694.80 2977.13 8989.13 2297.38 274.49 1898.48 2892.32 1195.98 896.46 25
CNVR-MVS90.32 590.89 688.61 1996.76 1070.65 2696.47 1294.83 2684.83 989.07 2396.80 1570.86 3599.06 1592.64 695.71 1196.12 35
ZD-MVS96.63 1165.50 15093.50 8070.74 22185.26 5395.19 5864.92 7797.29 7887.51 4593.01 59
NCCC89.07 1489.46 1487.91 2496.60 1269.05 5596.38 1394.64 3684.42 1086.74 3496.20 2866.56 6098.76 2289.03 3494.56 3395.92 41
IU-MVS96.46 1369.91 3795.18 1480.75 3795.28 192.34 895.36 1496.47 24
SED-MVS89.94 890.36 988.70 1696.45 1469.38 4796.89 494.44 4371.65 19692.11 497.21 576.79 999.11 692.34 895.36 1497.62 2
test_241102_ONE96.45 1469.38 4794.44 4371.65 19692.11 497.05 876.79 999.11 6
test_0728_SECOND88.70 1696.45 1470.43 2996.64 894.37 4999.15 291.91 1494.90 2196.51 20
DVP-MVScopyleft89.41 1289.73 1388.45 2196.40 1769.99 3396.64 894.52 3971.92 18290.55 1696.93 1073.77 2299.08 1191.91 1494.90 2196.29 30
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
test072696.40 1769.99 3396.76 694.33 5171.92 18291.89 897.11 773.77 22
AdaColmapbinary78.94 16977.00 18684.76 12496.34 1965.86 13992.66 12687.97 28762.18 29870.56 20192.37 13343.53 28297.35 7464.50 24082.86 15591.05 193
test_one_060196.32 2069.74 4294.18 5571.42 20890.67 1596.85 1274.45 19
test_part296.29 2168.16 7890.78 13
DPE-MVScopyleft88.77 1589.21 1587.45 3696.26 2267.56 9294.17 5594.15 5768.77 24790.74 1497.27 376.09 1298.49 2790.58 2394.91 2096.30 29
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
MAR-MVS84.18 8083.43 8086.44 6896.25 2365.93 13894.28 5494.27 5374.41 12379.16 11295.61 4053.99 20098.88 2069.62 19293.26 5694.50 100
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
API-MVS82.28 11180.53 12887.54 3496.13 2470.59 2793.63 8891.04 18665.72 27275.45 15292.83 12356.11 17698.89 1964.10 24289.75 10393.15 146
APDe-MVS87.54 2587.84 2286.65 5996.07 2566.30 12994.84 4693.78 6469.35 23788.39 2596.34 2567.74 5097.66 5890.62 2293.44 5396.01 39
patch_mono-289.71 1090.99 585.85 8896.04 2663.70 19895.04 4195.19 1386.74 591.53 1195.15 5973.86 2197.58 6393.38 392.00 7596.28 32
PAPR85.15 6284.47 6787.18 4196.02 2768.29 7291.85 15993.00 10476.59 9779.03 11395.00 6261.59 11497.61 6278.16 12589.00 10795.63 48
APD-MVScopyleft85.93 5285.99 4985.76 9295.98 2865.21 15593.59 9092.58 12066.54 26586.17 4095.88 3363.83 8997.00 9586.39 5892.94 6095.06 75
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
DeepC-MVS_fast79.48 287.95 2088.00 2087.79 2795.86 2968.32 7195.74 2094.11 5983.82 1283.49 6996.19 2964.53 8198.44 3083.42 8194.88 2496.61 14
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DP-MVS69.90 27566.48 28180.14 24195.36 3062.93 21589.56 23776.11 34950.27 34857.69 31785.23 22639.68 29395.73 14333.35 35971.05 24181.78 325
114514_t79.17 16577.67 17283.68 15695.32 3165.53 14992.85 11791.60 15963.49 28567.92 23790.63 15846.65 26395.72 14767.01 21583.54 15389.79 205
Regformer-187.24 3087.60 2786.15 7995.14 3265.83 14193.95 7295.12 1682.11 2284.25 6195.73 3667.88 4898.35 3385.60 6388.64 11194.26 105
Regformer-287.00 3787.43 3085.71 9595.14 3264.73 16993.95 7294.95 2381.69 2784.03 6695.73 3667.35 5298.19 3785.40 6588.64 11194.20 107
HPM-MVS++copyleft89.37 1389.95 1287.64 2995.10 3468.23 7695.24 3294.49 4182.43 1988.90 2496.35 2471.89 3498.63 2488.76 3696.40 696.06 36
CSCG86.87 3886.26 4588.72 1595.05 3570.79 2593.83 8395.33 1168.48 25177.63 12894.35 8673.04 2598.45 2984.92 7093.71 4996.92 11
dcpmvs_287.37 2887.55 2886.85 4995.04 3668.20 7790.36 21790.66 19579.37 5281.20 8693.67 10274.73 1596.55 11890.88 2192.00 7595.82 44
LFMVS84.34 7582.73 9689.18 1394.76 3773.25 1094.99 4391.89 14571.90 18482.16 7893.49 10747.98 25597.05 9082.55 8984.82 14197.25 7
CDPH-MVS85.71 5685.46 5786.46 6794.75 3867.19 10493.89 7792.83 10970.90 21683.09 7295.28 5063.62 9397.36 7380.63 10594.18 3994.84 85
test_prior387.38 2787.70 2486.42 6994.71 3967.35 9995.10 3793.10 10075.40 11085.25 5495.61 4067.94 4596.84 10787.47 4694.77 2595.05 76
test_prior86.42 6994.71 3967.35 9993.10 10096.84 10795.05 76
test1287.09 4494.60 4168.86 5992.91 10682.67 7665.44 7097.55 6493.69 5094.84 85
test_yl84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 24181.09 8892.88 12157.00 16297.44 6881.11 10381.76 16396.23 33
DCV-MVSNet84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 24181.09 8892.88 12157.00 16297.44 6881.11 10381.76 16396.23 33
CANet89.61 1189.99 1188.46 2094.39 4469.71 4396.53 1193.78 6486.89 489.68 1995.78 3465.94 6499.10 992.99 493.91 4496.58 17
test_894.19 4567.19 10494.15 5993.42 8571.87 18785.38 5195.35 4668.19 4196.95 102
TEST994.18 4667.28 10194.16 5693.51 7871.75 19485.52 4895.33 4768.01 4497.27 82
train_agg87.21 3187.42 3186.60 6094.18 4667.28 10194.16 5693.51 7871.87 18785.52 4895.33 4768.19 4197.27 8289.09 3194.90 2195.25 69
Regformer-385.80 5485.92 5085.46 10294.17 4865.09 16292.95 11295.11 1781.13 3381.68 8195.04 6065.82 6698.32 3483.02 8384.36 14592.97 152
Regformer-485.45 5885.69 5584.73 12594.17 4863.23 20792.95 11294.83 2680.66 3881.29 8495.04 6065.12 7298.08 4082.74 8584.36 14592.88 156
agg_prior187.02 3687.26 3386.28 7694.16 5066.97 11294.08 6393.31 8871.85 18984.49 5995.39 4568.91 3896.75 11188.84 3594.32 3895.13 72
agg_prior94.16 5066.97 11293.31 8884.49 5996.75 111
PAPM_NR82.97 10181.84 10886.37 7294.10 5266.76 11887.66 27292.84 10869.96 23074.07 16493.57 10563.10 10297.50 6670.66 18390.58 9694.85 82
FOURS193.95 5361.77 23693.96 6991.92 14262.14 29986.57 35
VNet86.20 4785.65 5687.84 2693.92 5469.99 3395.73 2295.94 678.43 6986.00 4293.07 11458.22 14897.00 9585.22 6784.33 14896.52 19
9.1487.63 2593.86 5594.41 5194.18 5572.76 16086.21 3896.51 1966.64 5897.88 4990.08 2594.04 41
xxxxxxxxxxxxxcwj87.14 3287.19 3486.99 4793.84 5667.89 8495.05 3984.72 31678.19 7186.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 64
save fliter93.84 5667.89 8495.05 3992.66 11578.19 71
PVSNet_BlendedMVS83.38 9383.43 8083.22 16893.76 5867.53 9494.06 6493.61 7479.13 5881.00 9185.14 22763.19 10097.29 7887.08 5273.91 21884.83 289
PVSNet_Blended86.73 4286.86 4086.31 7593.76 5867.53 9496.33 1493.61 7482.34 2081.00 9193.08 11263.19 10097.29 7887.08 5291.38 8694.13 113
HFP-MVS84.73 6884.40 7085.72 9393.75 6065.01 16393.50 9493.19 9472.19 17679.22 11094.93 6659.04 14297.67 5581.55 9692.21 6994.49 101
#test#84.98 6584.74 6685.72 9393.75 6065.01 16394.09 6293.19 9473.55 14579.22 11094.93 6659.04 14297.67 5582.66 8692.21 6994.49 101
Anonymous20240521177.96 19075.33 20685.87 8693.73 6264.52 17194.85 4585.36 31162.52 29676.11 14390.18 16729.43 34497.29 7868.51 20377.24 20195.81 45
SD-MVS87.49 2687.49 2987.50 3593.60 6368.82 6193.90 7692.63 11876.86 9287.90 2795.76 3566.17 6197.63 6089.06 3291.48 8496.05 37
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
ETH3D-3000-0.187.61 2487.89 2186.75 5593.58 6467.21 10394.31 5394.14 5872.92 15787.13 3096.62 1767.81 4997.94 4390.13 2494.42 3695.09 74
ACMMPR84.37 7384.06 7285.28 10993.56 6564.37 18193.50 9493.15 9772.19 17678.85 11994.86 7056.69 16997.45 6781.55 9692.20 7194.02 120
region2R84.36 7484.03 7385.36 10793.54 6664.31 18393.43 9792.95 10572.16 17978.86 11894.84 7156.97 16497.53 6581.38 10092.11 7394.24 106
TSAR-MVS + GP.87.96 1988.37 1886.70 5893.51 6765.32 15295.15 3593.84 6378.17 7385.93 4394.80 7275.80 1398.21 3589.38 2788.78 10896.59 15
PHI-MVS86.83 4086.85 4186.78 5493.47 6865.55 14895.39 2995.10 1871.77 19385.69 4796.52 1862.07 10998.77 2186.06 6195.60 1296.03 38
SR-MVS82.81 10382.58 9983.50 16293.35 6961.16 24792.23 14091.28 17364.48 27881.27 8595.28 5053.71 20495.86 13782.87 8488.77 10993.49 136
iter_conf0583.27 9582.70 9784.98 11793.32 7071.84 1694.16 5681.76 33682.74 1673.83 16788.40 18672.77 2894.61 18682.10 9175.21 21188.48 221
EPNet87.84 2288.38 1786.23 7793.30 7166.05 13395.26 3194.84 2587.09 388.06 2694.53 7766.79 5797.34 7583.89 7891.68 8095.29 62
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
test117281.90 11981.83 10982.13 19693.23 7257.52 30391.61 17190.98 18864.32 28080.20 9995.00 6251.26 22595.61 15181.73 9588.13 11593.26 142
XVS83.87 8683.47 7885.05 11493.22 7363.78 19392.92 11592.66 11573.99 13178.18 12394.31 8955.25 18397.41 7079.16 11591.58 8293.95 122
X-MVStestdata76.86 20374.13 22385.05 11493.22 7363.78 19392.92 11592.66 11573.99 13178.18 12310.19 37855.25 18397.41 7079.16 11591.58 8293.95 122
SMA-MVScopyleft88.14 1688.29 1987.67 2893.21 7568.72 6393.85 7994.03 6074.18 12891.74 996.67 1665.61 6998.42 3289.24 3096.08 795.88 43
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
原ACMM184.42 13693.21 7564.27 18693.40 8765.39 27379.51 10792.50 12758.11 15096.69 11365.27 23793.96 4292.32 167
MVS_111021_HR86.19 4885.80 5387.37 3793.17 7769.79 4093.99 6893.76 6779.08 6078.88 11793.99 9762.25 10898.15 3885.93 6291.15 9094.15 112
CP-MVS83.71 9083.40 8384.65 12993.14 7863.84 19194.59 4892.28 12671.03 21477.41 13194.92 6855.21 18696.19 12481.32 10190.70 9493.91 124
DELS-MVS90.05 790.09 1089.94 493.14 7873.88 897.01 394.40 4788.32 285.71 4694.91 6974.11 2098.91 1787.26 5195.94 997.03 10
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
ZNCC-MVS85.33 6085.08 6186.06 8093.09 8065.65 14593.89 7793.41 8673.75 13979.94 10194.68 7560.61 12398.03 4182.63 8893.72 4894.52 98
DeepPCF-MVS81.17 189.72 991.38 384.72 12793.00 8158.16 29396.72 794.41 4586.50 690.25 1897.83 175.46 1498.67 2392.78 595.49 1397.32 6
PLCcopyleft68.80 1475.23 23173.68 23079.86 25092.93 8258.68 28790.64 21088.30 27860.90 30764.43 27490.53 15942.38 28694.57 18956.52 28076.54 20586.33 257
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MSP-MVS90.38 491.87 185.88 8592.83 8364.03 19093.06 10594.33 5182.19 2193.65 396.15 3085.89 197.19 8491.02 2097.75 196.43 26
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
mPP-MVS82.96 10282.44 10284.52 13392.83 8362.92 21792.76 11891.85 14871.52 20475.61 15094.24 9153.48 20896.99 9878.97 11890.73 9393.64 133
GST-MVS84.63 7184.29 7185.66 9792.82 8565.27 15393.04 10793.13 9873.20 14978.89 11494.18 9359.41 13897.85 5081.45 9892.48 6893.86 127
WTY-MVS86.32 4585.81 5287.85 2592.82 8569.37 4995.20 3395.25 1282.71 1781.91 7994.73 7367.93 4797.63 6079.55 11182.25 15996.54 18
PGM-MVS83.25 9682.70 9784.92 11992.81 8764.07 18990.44 21392.20 13371.28 20977.23 13494.43 8055.17 18797.31 7779.33 11491.38 8693.37 137
EI-MVSNet-Vis-set83.77 8883.67 7584.06 14692.79 8863.56 20391.76 16494.81 2879.65 4977.87 12594.09 9463.35 9897.90 4779.35 11379.36 17790.74 195
SF-MVS87.03 3587.09 3686.84 5092.70 8967.45 9893.64 8793.76 6770.78 22086.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 64
MVSTER82.47 10882.05 10583.74 15292.68 9069.01 5691.90 15693.21 9179.83 4472.14 18785.71 22274.72 1694.72 18275.72 13872.49 23087.50 233
iter_conf_final81.74 12280.93 12184.18 14392.66 9169.10 5392.94 11482.80 33479.01 6274.85 15688.40 18661.83 11294.61 18679.36 11276.52 20688.83 213
CS-MVS-test86.14 4987.01 3783.52 15992.63 9259.36 27995.49 2691.92 14280.09 4285.46 5095.53 4361.82 11395.77 14186.77 5693.37 5495.41 53
MP-MVScopyleft85.02 6384.97 6385.17 11392.60 9364.27 18693.24 10092.27 12773.13 15179.63 10694.43 8061.90 11097.17 8585.00 6892.56 6594.06 118
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
thres20079.66 15678.33 16083.66 15892.54 9465.82 14293.06 10596.31 374.90 12073.30 17088.66 18159.67 13495.61 15147.84 31378.67 18489.56 210
test_part179.63 15777.86 17184.93 11892.50 9571.43 1894.15 5991.08 18372.51 16570.66 20084.98 22959.84 13195.07 17172.07 17062.94 29588.30 227
APD-MVS_3200maxsize81.64 12381.32 11482.59 18192.36 9658.74 28691.39 18091.01 18763.35 28679.72 10594.62 7651.82 21896.14 12679.71 10987.93 11792.89 155
新几何184.73 12592.32 9764.28 18591.46 16559.56 31779.77 10492.90 11956.95 16596.57 11663.40 24692.91 6193.34 138
112181.25 12880.05 13384.87 12292.30 9864.31 18387.91 26791.39 16759.44 31879.94 10192.91 11857.09 15897.01 9366.63 21792.81 6393.29 141
EI-MVSNet-UG-set83.14 9882.96 9083.67 15792.28 9963.19 20991.38 18294.68 3479.22 5576.60 14093.75 10062.64 10497.76 5378.07 12678.01 18890.05 203
HPM-MVScopyleft83.25 9682.95 9184.17 14492.25 10062.88 21990.91 19891.86 14670.30 22677.12 13593.96 9856.75 16796.28 12282.04 9291.34 8893.34 138
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
HY-MVS76.49 584.28 7683.36 8587.02 4692.22 10167.74 8884.65 29194.50 4079.15 5782.23 7787.93 19766.88 5696.94 10380.53 10682.20 16096.39 28
tfpn200view978.79 17477.43 17782.88 17392.21 10264.49 17292.05 14896.28 473.48 14671.75 19288.26 19160.07 12995.32 16445.16 32377.58 19388.83 213
thres40078.68 17777.43 17782.43 18392.21 10264.49 17292.05 14896.28 473.48 14671.75 19288.26 19160.07 12995.32 16445.16 32377.58 19387.48 234
PS-MVSNAJ88.14 1687.61 2689.71 792.06 10476.72 195.75 1993.26 9083.86 1189.55 2096.06 3153.55 20597.89 4891.10 1893.31 5594.54 96
SR-MVS-dyc-post81.06 13380.70 12482.15 19492.02 10558.56 28890.90 19990.45 19862.76 29278.89 11494.46 7851.26 22595.61 15178.77 12186.77 12792.28 169
RE-MVS-def80.48 12992.02 10558.56 28890.90 19990.45 19862.76 29278.89 11494.46 7849.30 24278.77 12186.77 12792.28 169
MSLP-MVS++86.27 4685.91 5187.35 3892.01 10768.97 5895.04 4192.70 11279.04 6181.50 8396.50 2058.98 14496.78 10983.49 8093.93 4396.29 30
CS-MVS85.80 5486.65 4383.27 16792.00 10858.92 28495.31 3091.86 14679.97 4384.82 5695.40 4462.26 10795.51 16086.11 6092.08 7495.37 56
ETH3D cwj APD-0.1687.06 3487.18 3586.71 5691.99 10967.48 9792.97 11094.21 5471.48 20785.72 4596.32 2668.13 4398.00 4289.06 3294.70 3194.65 92
旧先验191.94 11060.74 25791.50 16394.36 8265.23 7191.84 7794.55 94
thres600view778.00 18876.66 19082.03 20291.93 11163.69 19991.30 18796.33 172.43 16970.46 20387.89 19860.31 12494.92 17742.64 33576.64 20487.48 234
LS3D69.17 27966.40 28277.50 28291.92 11256.12 31485.12 28880.37 34246.96 35556.50 32187.51 20337.25 31393.71 22832.52 36479.40 17682.68 315
GG-mvs-BLEND86.53 6591.91 11369.67 4575.02 34394.75 3178.67 12190.85 15477.91 794.56 19172.25 16693.74 4795.36 57
thres100view90078.37 18377.01 18582.46 18291.89 11463.21 20891.19 19396.33 172.28 17470.45 20487.89 19860.31 12495.32 16445.16 32377.58 19388.83 213
zzz-MVS84.73 6884.47 6785.50 10091.89 11465.16 15791.55 17292.23 12875.32 11280.53 9595.21 5656.06 17797.16 8684.86 7192.55 6694.18 108
MTAPA83.91 8583.38 8485.50 10091.89 11465.16 15781.75 31192.23 12875.32 11280.53 9595.21 5656.06 17797.16 8684.86 7192.55 6694.18 108
canonicalmvs86.85 3986.25 4688.66 1891.80 11771.92 1593.54 9291.71 15480.26 4187.55 2895.25 5463.59 9596.93 10588.18 3984.34 14797.11 8
TSAR-MVS + MP.88.11 1888.64 1686.54 6491.73 11868.04 8090.36 21793.55 7782.89 1491.29 1292.89 12072.27 3196.03 13387.99 4094.77 2595.54 51
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
ACMMPcopyleft81.49 12480.67 12583.93 14991.71 11962.90 21892.13 14292.22 13271.79 19271.68 19493.49 10750.32 23196.96 10178.47 12384.22 15291.93 176
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
BH-RMVSNet79.46 16277.65 17384.89 12091.68 12065.66 14493.55 9188.09 28472.93 15673.37 16991.12 15146.20 27096.12 12756.28 28285.61 13792.91 154
baseline181.84 12081.03 12084.28 14291.60 12166.62 12191.08 19591.66 15781.87 2574.86 15591.67 14569.98 3794.92 17771.76 17364.75 28391.29 190
ACMMP_NAP86.05 5085.80 5386.80 5391.58 12267.53 9491.79 16193.49 8174.93 11984.61 5795.30 4959.42 13797.92 4586.13 5994.92 1994.94 81
MVS_Test84.16 8183.20 8687.05 4591.56 12369.82 3989.99 23192.05 13677.77 7982.84 7386.57 21163.93 8896.09 12874.91 14789.18 10695.25 69
HPM-MVS_fast80.25 14579.55 14582.33 18791.55 12459.95 26991.32 18689.16 25065.23 27674.71 15793.07 11447.81 25795.74 14274.87 14988.23 11391.31 189
CPTT-MVS79.59 15879.16 15380.89 23091.54 12559.80 27192.10 14488.54 27560.42 31072.96 17293.28 10948.27 25192.80 25278.89 12086.50 13290.06 202
CNLPA74.31 24172.30 24780.32 23591.49 12661.66 23990.85 20380.72 34056.67 33263.85 27990.64 15646.75 26290.84 29653.79 29075.99 20988.47 223
MP-MVS-pluss85.24 6185.13 6085.56 9991.42 12765.59 14791.54 17392.51 12274.56 12280.62 9495.64 3959.15 14197.00 9586.94 5493.80 4594.07 117
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
gg-mvs-nofinetune77.18 20174.31 21985.80 9091.42 12768.36 7071.78 34594.72 3249.61 34977.12 13545.92 36677.41 893.98 22067.62 21093.16 5795.05 76
xiu_mvs_v2_base87.92 2187.38 3289.55 1291.41 12976.43 395.74 2093.12 9983.53 1389.55 2095.95 3253.45 20997.68 5491.07 1992.62 6494.54 96
EIA-MVS84.84 6784.88 6484.69 12891.30 13062.36 22693.85 7992.04 13779.45 5079.33 10994.28 9062.42 10696.35 12180.05 10891.25 8995.38 55
alignmvs87.28 2986.97 3888.24 2391.30 13071.14 2395.61 2493.56 7679.30 5387.07 3395.25 5468.43 3996.93 10587.87 4184.33 14896.65 13
EPMVS78.49 18275.98 19886.02 8191.21 13269.68 4480.23 32491.20 17475.25 11472.48 18278.11 30854.65 19193.69 22957.66 27883.04 15494.69 88
FMVSNet377.73 19476.04 19782.80 17491.20 13368.99 5791.87 15791.99 13973.35 14867.04 25083.19 25056.62 17092.14 27559.80 27069.34 25087.28 241
Anonymous2024052976.84 20674.15 22284.88 12191.02 13464.95 16693.84 8291.09 18153.57 33973.00 17187.42 20435.91 32297.32 7669.14 19872.41 23292.36 165
tpmvs72.88 25569.76 26782.22 19290.98 13567.05 10978.22 33688.30 27863.10 29064.35 27574.98 33055.09 18894.27 20243.25 32969.57 24985.34 283
MVS84.66 7082.86 9490.06 290.93 13674.56 687.91 26795.54 968.55 24972.35 18694.71 7459.78 13398.90 1881.29 10294.69 3296.74 12
PVSNet73.49 880.05 14978.63 15784.31 14090.92 13764.97 16592.47 13491.05 18579.18 5672.43 18490.51 16037.05 31894.06 21368.06 20586.00 13493.90 126
3Dnovator+73.60 782.10 11680.60 12786.60 6090.89 13866.80 11795.20 3393.44 8474.05 13067.42 24592.49 12949.46 24097.65 5970.80 18091.68 8095.33 58
VDD-MVS83.06 9981.81 11086.81 5290.86 13967.70 8995.40 2891.50 16375.46 10781.78 8092.34 13440.09 29297.13 8886.85 5582.04 16195.60 49
BH-w/o80.49 14279.30 15084.05 14790.83 14064.36 18293.60 8989.42 24074.35 12569.09 21990.15 16855.23 18595.61 15164.61 23986.43 13392.17 174
ET-MVSNet_ETH3D84.01 8383.15 8986.58 6290.78 14170.89 2494.74 4794.62 3781.44 3058.19 31193.64 10373.64 2492.35 27282.66 8678.66 18596.50 23
Anonymous2023121173.08 25070.39 26181.13 22090.62 14263.33 20591.40 17890.06 22051.84 34364.46 27380.67 28536.49 32094.07 21263.83 24464.17 28885.98 269
TR-MVS78.77 17577.37 18282.95 17290.49 14360.88 25193.67 8690.07 21770.08 22974.51 15891.37 14945.69 27295.70 14860.12 26880.32 17292.29 168
SteuartSystems-ACMMP86.82 4186.90 3986.58 6290.42 14466.38 12696.09 1593.87 6277.73 8084.01 6795.66 3863.39 9797.94 4387.40 4893.55 5295.42 52
Skip Steuart: Steuart Systems R&D Blog.
TAPA-MVS70.22 1274.94 23573.53 23179.17 26390.40 14552.07 33489.19 24989.61 23562.69 29470.07 20992.67 12548.89 24994.32 19938.26 34979.97 17391.12 192
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
mvs_anonymous81.36 12679.99 13685.46 10290.39 14668.40 6986.88 28290.61 19774.41 12370.31 20784.67 23463.79 9092.32 27373.13 15585.70 13595.67 46
CANet_DTU84.09 8283.52 7685.81 8990.30 14766.82 11591.87 15789.01 25985.27 786.09 4193.74 10147.71 25896.98 9977.90 12889.78 10293.65 132
Fast-Effi-MVS+81.14 13080.01 13584.51 13490.24 14865.86 13994.12 6189.15 25173.81 13875.37 15388.26 19157.26 15694.53 19466.97 21684.92 14093.15 146
ETV-MVS86.01 5186.11 4885.70 9690.21 14967.02 11193.43 9791.92 14281.21 3284.13 6594.07 9660.93 12095.63 14989.28 2989.81 10094.46 103
tpmrst80.57 13979.14 15484.84 12390.10 15068.28 7381.70 31289.72 23377.63 8475.96 14479.54 30064.94 7692.71 25575.43 13977.28 20093.55 134
PVSNet_Blended_VisFu83.97 8483.50 7785.39 10690.02 15166.59 12393.77 8491.73 15277.43 8877.08 13789.81 17363.77 9196.97 10079.67 11088.21 11492.60 160
UGNet79.87 15378.68 15683.45 16489.96 15261.51 24192.13 14290.79 19076.83 9478.85 11986.33 21438.16 30496.17 12567.93 20787.17 12292.67 158
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
CHOSEN 1792x268884.98 6583.45 7989.57 1189.94 15375.14 592.07 14792.32 12581.87 2575.68 14788.27 19060.18 12698.60 2580.46 10790.27 9994.96 80
abl_679.82 15479.20 15281.70 20889.85 15458.34 29088.47 26090.07 21762.56 29577.71 12793.08 11247.65 25996.78 10977.94 12785.45 13889.99 204
BH-untuned78.68 17777.08 18383.48 16389.84 15563.74 19592.70 12288.59 27371.57 20266.83 25388.65 18251.75 22095.39 16259.03 27384.77 14291.32 188
test22289.77 15661.60 24089.55 23889.42 24056.83 33177.28 13392.43 13152.76 21291.14 9193.09 148
PMMVS81.98 11882.04 10681.78 20489.76 15756.17 31391.13 19490.69 19277.96 7580.09 10093.57 10546.33 26894.99 17381.41 9987.46 12094.17 110
DPM-MVS90.70 290.52 791.24 189.68 15876.68 297.29 195.35 1082.87 1591.58 1097.22 479.93 599.10 983.12 8297.64 297.94 1
QAPM79.95 15277.39 18187.64 2989.63 15971.41 1993.30 9993.70 7165.34 27567.39 24791.75 14347.83 25698.96 1657.71 27789.81 10092.54 162
3Dnovator73.91 682.69 10780.82 12288.31 2289.57 16071.26 2092.60 12894.39 4878.84 6467.89 23992.48 13048.42 25098.52 2668.80 20294.40 3795.15 71
Effi-MVS+83.82 8782.76 9586.99 4789.56 16169.40 4691.35 18486.12 30572.59 16283.22 7192.81 12459.60 13596.01 13581.76 9487.80 11895.56 50
PatchmatchNetpermissive77.46 19774.63 21285.96 8389.55 16270.35 3079.97 32889.55 23672.23 17570.94 19876.91 31957.03 16092.79 25354.27 28881.17 16794.74 87
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PatchMatch-RL72.06 26169.98 26278.28 27389.51 16355.70 31783.49 29883.39 33061.24 30663.72 28082.76 25234.77 32593.03 24053.37 29377.59 19286.12 266
thisisatest051583.41 9282.49 10186.16 7889.46 16468.26 7493.54 9294.70 3374.31 12675.75 14590.92 15272.62 2996.52 11969.64 19081.50 16593.71 130
h-mvs3383.01 10082.56 10084.35 13989.34 16562.02 23192.72 12093.76 6781.45 2882.73 7492.25 13660.11 12797.13 8887.69 4362.96 29493.91 124
DROMVSNet84.53 7285.04 6283.01 17189.34 16561.37 24494.42 5091.09 18177.91 7783.24 7094.20 9258.37 14795.40 16185.35 6691.41 8592.27 172
UA-Net80.02 15079.65 14181.11 22189.33 16757.72 29886.33 28589.00 26077.44 8781.01 9089.15 17859.33 13995.90 13661.01 26284.28 15089.73 207
dp75.01 23472.09 24983.76 15189.28 16866.22 13279.96 32989.75 22871.16 21167.80 24177.19 31651.81 21992.54 26450.39 29971.44 23992.51 163
sss82.71 10682.38 10383.73 15489.25 16959.58 27492.24 13994.89 2477.96 7579.86 10392.38 13256.70 16897.05 9077.26 13180.86 17094.55 94
MVSFormer83.75 8982.88 9386.37 7289.24 17071.18 2189.07 25190.69 19265.80 27087.13 3094.34 8764.99 7492.67 25872.83 15891.80 7895.27 66
lupinMVS87.74 2387.77 2387.63 3389.24 17071.18 2196.57 1092.90 10782.70 1887.13 3095.27 5264.99 7495.80 13889.34 2891.80 7895.93 40
IB-MVS77.80 482.18 11280.46 13087.35 3889.14 17270.28 3195.59 2595.17 1578.85 6370.19 20885.82 22070.66 3697.67 5572.19 16966.52 27094.09 115
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
MDTV_nov1_ep1372.61 24389.06 17368.48 6780.33 32290.11 21671.84 19071.81 19175.92 32753.01 21193.92 22348.04 31073.38 220
testdata81.34 21489.02 17457.72 29889.84 22658.65 32285.32 5294.09 9457.03 16093.28 23669.34 19590.56 9793.03 150
CostFormer82.33 11081.15 11585.86 8789.01 17568.46 6882.39 30993.01 10275.59 10580.25 9881.57 26972.03 3394.96 17479.06 11777.48 19794.16 111
GeoE78.90 17077.43 17783.29 16688.95 17662.02 23192.31 13686.23 30370.24 22771.34 19789.27 17654.43 19694.04 21663.31 24780.81 17193.81 129
GBi-Net75.65 22473.83 22781.10 22288.85 17765.11 15990.01 22890.32 20470.84 21767.04 25080.25 29248.03 25291.54 28959.80 27069.34 25086.64 250
test175.65 22473.83 22781.10 22288.85 17765.11 15990.01 22890.32 20470.84 21767.04 25080.25 29248.03 25291.54 28959.80 27069.34 25086.64 250
FMVSNet276.07 21474.01 22582.26 19188.85 17767.66 9091.33 18591.61 15870.84 21765.98 25882.25 25848.03 25292.00 28058.46 27568.73 25687.10 244
DeepC-MVS77.85 385.52 5785.24 5986.37 7288.80 18066.64 12092.15 14193.68 7281.07 3476.91 13893.64 10362.59 10598.44 3085.50 6492.84 6294.03 119
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
EPP-MVSNet81.79 12181.52 11282.61 18088.77 18160.21 26693.02 10993.66 7368.52 25072.90 17490.39 16372.19 3294.96 17474.93 14679.29 17992.67 158
1112_ss80.56 14079.83 13982.77 17588.65 18260.78 25392.29 13788.36 27772.58 16372.46 18394.95 6465.09 7393.42 23566.38 22377.71 19094.10 114
tpm cat175.30 23072.21 24884.58 13288.52 18367.77 8778.16 33788.02 28561.88 30368.45 23276.37 32360.65 12194.03 21853.77 29174.11 21591.93 176
LCM-MVSNet-Re72.93 25371.84 25176.18 29988.49 18448.02 35180.07 32770.17 36373.96 13452.25 33380.09 29549.98 23588.24 32167.35 21184.23 15192.28 169
Vis-MVSNetpermissive80.92 13679.98 13783.74 15288.48 18561.80 23593.44 9688.26 28273.96 13477.73 12691.76 14249.94 23694.76 17965.84 22990.37 9894.65 92
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Vis-MVSNet (Re-imp)79.24 16479.57 14278.24 27588.46 18652.29 33390.41 21589.12 25374.24 12769.13 21891.91 14065.77 6790.09 30859.00 27488.09 11692.33 166
ab-mvs80.18 14678.31 16185.80 9088.44 18765.49 15183.00 30692.67 11471.82 19177.36 13285.01 22854.50 19296.59 11476.35 13675.63 21095.32 60
gm-plane-assit88.42 18867.04 11078.62 6891.83 14197.37 7276.57 134
MVS_111021_LR82.02 11781.52 11283.51 16188.42 18862.88 21989.77 23588.93 26176.78 9575.55 15193.10 11050.31 23295.38 16383.82 7987.02 12392.26 173
test250683.29 9482.92 9284.37 13888.39 19063.18 21092.01 15091.35 16977.66 8278.49 12291.42 14664.58 8095.09 17073.19 15489.23 10494.85 82
ECVR-MVScopyleft81.29 12780.38 13184.01 14888.39 19061.96 23392.56 13386.79 29777.66 8276.63 13991.42 14646.34 26795.24 16874.36 15189.23 10494.85 82
baseline85.01 6484.44 6986.71 5688.33 19268.73 6290.24 22291.82 15081.05 3581.18 8792.50 12763.69 9296.08 13084.45 7386.71 12995.32 60
tpm279.80 15577.95 16885.34 10888.28 19368.26 7481.56 31491.42 16670.11 22877.59 13080.50 28767.40 5194.26 20467.34 21277.35 19893.51 135
thisisatest053081.15 12980.07 13284.39 13788.26 19465.63 14691.40 17894.62 3771.27 21070.93 19989.18 17772.47 3096.04 13265.62 23276.89 20391.49 181
casdiffmvs85.37 5984.87 6586.84 5088.25 19569.07 5493.04 10791.76 15181.27 3180.84 9392.07 13864.23 8496.06 13184.98 6987.43 12195.39 54
Test_1112_low_res79.56 15978.60 15882.43 18388.24 19660.39 26392.09 14587.99 28672.10 18071.84 19087.42 20464.62 7993.04 23965.80 23077.30 19993.85 128
PAPM85.89 5385.46 5787.18 4188.20 19772.42 1492.41 13592.77 11082.11 2280.34 9793.07 11468.27 4095.02 17278.39 12493.59 5194.09 115
TESTMET0.1,182.41 10981.98 10783.72 15588.08 19863.74 19592.70 12293.77 6679.30 5377.61 12987.57 20258.19 14994.08 21173.91 15386.68 13093.33 140
ADS-MVSNet266.90 29863.44 30377.26 28888.06 19960.70 25868.01 35575.56 35257.57 32464.48 27169.87 34738.68 29884.10 34240.87 34067.89 26286.97 245
ADS-MVSNet68.54 28664.38 29981.03 22688.06 19966.90 11468.01 35584.02 32357.57 32464.48 27169.87 34738.68 29889.21 31440.87 34067.89 26286.97 245
EPNet_dtu78.80 17379.26 15177.43 28488.06 19949.71 34691.96 15591.95 14177.67 8176.56 14191.28 15058.51 14690.20 30656.37 28180.95 16992.39 164
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
miper_enhance_ethall78.86 17177.97 16781.54 21088.00 20265.17 15691.41 17689.15 25175.19 11668.79 22683.98 24267.17 5392.82 25072.73 16165.30 27486.62 254
IS-MVSNet80.14 14779.41 14782.33 18787.91 20360.08 26891.97 15488.27 28072.90 15871.44 19691.73 14461.44 11593.66 23062.47 25586.53 13193.24 143
CLD-MVS82.73 10482.35 10483.86 15087.90 20467.65 9195.45 2792.18 13585.06 872.58 17992.27 13552.46 21595.78 13984.18 7479.06 18088.16 228
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
test111180.84 13780.02 13483.33 16587.87 20560.76 25592.62 12786.86 29677.86 7875.73 14691.39 14846.35 26694.70 18572.79 16088.68 11094.52 98
HyFIR lowres test81.03 13479.56 14385.43 10487.81 20668.11 7990.18 22390.01 22270.65 22272.95 17386.06 21863.61 9494.50 19675.01 14579.75 17593.67 131
131480.70 13878.95 15585.94 8487.77 20767.56 9287.91 26792.55 12172.17 17867.44 24493.09 11150.27 23397.04 9271.68 17587.64 11993.23 144
cl2277.94 19176.78 18881.42 21287.57 20864.93 16790.67 20888.86 26472.45 16867.63 24382.68 25464.07 8592.91 24871.79 17165.30 27486.44 256
HQP-NCC87.54 20994.06 6479.80 4574.18 160
ACMP_Plane87.54 20994.06 6479.80 4574.18 160
HQP-MVS81.14 13080.64 12682.64 17987.54 20963.66 20194.06 6491.70 15579.80 4574.18 16090.30 16551.63 22295.61 15177.63 12978.90 18188.63 218
NP-MVS87.41 21263.04 21190.30 165
diffmvs84.28 7683.83 7485.61 9887.40 21368.02 8190.88 20189.24 24580.54 3981.64 8292.52 12659.83 13294.52 19587.32 5085.11 13994.29 104
baseline283.68 9183.42 8284.48 13587.37 21466.00 13590.06 22695.93 779.71 4869.08 22090.39 16377.92 696.28 12278.91 11981.38 16691.16 191
plane_prior687.23 21562.32 22750.66 229
tttt051779.50 16078.53 15982.41 18687.22 21661.43 24389.75 23694.76 3069.29 23967.91 23888.06 19672.92 2695.63 14962.91 25173.90 21990.16 201
plane_prior187.15 217
cascas78.18 18675.77 20185.41 10587.14 21869.11 5292.96 11191.15 17866.71 26470.47 20286.07 21737.49 31296.48 12070.15 18679.80 17490.65 196
CHOSEN 280x42077.35 19976.95 18778.55 27087.07 21962.68 22369.71 35182.95 33268.80 24671.48 19587.27 20766.03 6384.00 34576.47 13582.81 15788.95 212
HQP_MVS80.34 14479.75 14082.12 19786.94 22062.42 22493.13 10391.31 17078.81 6572.53 18089.14 17950.66 22995.55 15776.74 13278.53 18688.39 224
plane_prior786.94 22061.51 241
test-LLR80.10 14879.56 14381.72 20686.93 22261.17 24592.70 12291.54 16071.51 20575.62 14886.94 20853.83 20192.38 26972.21 16784.76 14391.60 179
test-mter79.96 15179.38 14981.72 20686.93 22261.17 24592.70 12291.54 16073.85 13675.62 14886.94 20849.84 23892.38 26972.21 16784.76 14391.60 179
SCA75.82 22272.76 24085.01 11686.63 22470.08 3281.06 31889.19 24871.60 20170.01 21077.09 31745.53 27390.25 30160.43 26573.27 22194.68 89
AUN-MVS78.37 18377.43 17781.17 21786.60 22557.45 30589.46 24291.16 17674.11 12974.40 15990.49 16155.52 18294.57 18974.73 15060.43 31991.48 182
hse-mvs281.12 13281.11 11981.16 21886.52 22657.48 30489.40 24391.16 17681.45 2882.73 7490.49 16160.11 12794.58 18887.69 4360.41 32091.41 184
xiu_mvs_v1_base_debu82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15284.20 6294.36 8238.04 30695.73 14384.12 7586.81 12491.33 185
xiu_mvs_v1_base82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15284.20 6294.36 8238.04 30695.73 14384.12 7586.81 12491.33 185
xiu_mvs_v1_base_debi82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15284.20 6294.36 8238.04 30695.73 14384.12 7586.81 12491.33 185
F-COLMAP70.66 26868.44 27377.32 28686.37 23055.91 31588.00 26586.32 30056.94 33057.28 31988.07 19533.58 32992.49 26651.02 29768.37 25883.55 298
CDS-MVSNet81.43 12580.74 12383.52 15986.26 23164.45 17592.09 14590.65 19675.83 10473.95 16689.81 17363.97 8792.91 24871.27 17782.82 15693.20 145
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
VDDNet80.50 14178.26 16287.21 4086.19 23269.79 4094.48 4991.31 17060.42 31079.34 10890.91 15338.48 30296.56 11782.16 9081.05 16895.27 66
jason86.40 4486.17 4787.11 4386.16 23370.54 2895.71 2392.19 13482.00 2484.58 5894.34 8761.86 11195.53 15987.76 4290.89 9295.27 66
jason: jason.
PCF-MVS73.15 979.29 16377.63 17484.29 14186.06 23465.96 13787.03 27891.10 18069.86 23269.79 21590.64 15657.54 15596.59 11464.37 24182.29 15890.32 199
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MS-PatchMatch77.90 19376.50 19182.12 19785.99 23569.95 3691.75 16692.70 11273.97 13362.58 29084.44 23741.11 28995.78 13963.76 24592.17 7280.62 333
FIs79.47 16179.41 14779.67 25485.95 23659.40 27691.68 16893.94 6178.06 7468.96 22388.28 18966.61 5991.77 28466.20 22674.99 21287.82 230
VPA-MVSNet79.03 16678.00 16682.11 20085.95 23664.48 17493.22 10294.66 3575.05 11874.04 16584.95 23052.17 21793.52 23274.90 14867.04 26688.32 226
tpm78.58 18077.03 18483.22 16885.94 23864.56 17083.21 30491.14 17978.31 7073.67 16879.68 29864.01 8692.09 27866.07 22771.26 24093.03 150
OpenMVScopyleft70.45 1178.54 18175.92 19986.41 7185.93 23971.68 1792.74 11992.51 12266.49 26664.56 27091.96 13943.88 28198.10 3954.61 28690.65 9589.44 211
OMC-MVS78.67 17977.91 17080.95 22885.76 24057.40 30688.49 25988.67 27073.85 13672.43 18492.10 13749.29 24394.55 19272.73 16177.89 18990.91 194
miper_ehance_all_eth77.60 19576.44 19281.09 22585.70 24164.41 17990.65 20988.64 27272.31 17267.37 24882.52 25564.77 7892.64 26270.67 18265.30 27486.24 260
KD-MVS_2432*160069.03 28166.37 28377.01 29185.56 24261.06 24881.44 31590.25 21067.27 26058.00 31476.53 32154.49 19387.63 32848.04 31035.77 36582.34 318
miper_refine_blended69.03 28166.37 28377.01 29185.56 24261.06 24881.44 31590.25 21067.27 26058.00 31476.53 32154.49 19387.63 32848.04 31035.77 36582.34 318
EI-MVSNet78.97 16878.22 16381.25 21585.33 24462.73 22289.53 24093.21 9172.39 17172.14 18790.13 16960.99 11894.72 18267.73 20972.49 23086.29 258
CVMVSNet74.04 24374.27 22073.33 31685.33 24443.94 36289.53 24088.39 27654.33 33870.37 20590.13 16949.17 24584.05 34361.83 25979.36 17791.99 175
ACMH63.93 1768.62 28464.81 29280.03 24485.22 24663.25 20687.72 27084.66 31860.83 30851.57 33679.43 30127.29 34994.96 17441.76 33664.84 28181.88 323
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
cl____76.07 21474.67 21080.28 23785.15 24761.76 23790.12 22488.73 26871.16 21165.43 26181.57 26961.15 11692.95 24366.54 22062.17 30186.13 265
DIV-MVS_self_test76.07 21474.67 21080.28 23785.14 24861.75 23890.12 22488.73 26871.16 21165.42 26281.60 26861.15 11692.94 24766.54 22062.16 30386.14 263
TAMVS80.37 14379.45 14683.13 17085.14 24863.37 20491.23 18990.76 19174.81 12172.65 17788.49 18360.63 12292.95 24369.41 19481.95 16293.08 149
MSDG69.54 27765.73 28680.96 22785.11 25063.71 19784.19 29383.28 33156.95 32954.50 32484.03 24031.50 33796.03 13342.87 33369.13 25383.14 308
c3_l76.83 20775.47 20580.93 22985.02 25164.18 18890.39 21688.11 28371.66 19566.65 25581.64 26763.58 9692.56 26369.31 19662.86 29686.04 267
ACMP71.68 1075.58 22774.23 22179.62 25684.97 25259.64 27290.80 20589.07 25670.39 22562.95 28687.30 20638.28 30393.87 22572.89 15771.45 23885.36 282
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
FC-MVSNet-test77.99 18978.08 16577.70 27984.89 25355.51 31890.27 22093.75 7076.87 9166.80 25487.59 20165.71 6890.23 30562.89 25273.94 21787.37 237
PVSNet_068.08 1571.81 26268.32 27582.27 18984.68 25462.31 22888.68 25690.31 20775.84 10357.93 31680.65 28637.85 30994.19 20769.94 18829.05 37090.31 200
eth_miper_zixun_eth75.96 22074.40 21880.66 23184.66 25563.02 21289.28 24588.27 28071.88 18665.73 25981.65 26659.45 13692.81 25168.13 20460.53 31786.14 263
WR-MVS76.76 20875.74 20279.82 25184.60 25662.27 22992.60 12892.51 12276.06 10167.87 24085.34 22556.76 16690.24 30462.20 25663.69 29386.94 247
ACMH+65.35 1667.65 29364.55 29576.96 29384.59 25757.10 30988.08 26480.79 33958.59 32353.00 33081.09 28126.63 35192.95 24346.51 31761.69 31080.82 330
VPNet78.82 17277.53 17682.70 17784.52 25866.44 12593.93 7492.23 12880.46 4072.60 17888.38 18849.18 24493.13 23872.47 16563.97 29188.55 220
IterMVS-LS76.49 21075.18 20880.43 23484.49 25962.74 22190.64 21088.80 26572.40 17065.16 26481.72 26560.98 11992.27 27467.74 20864.65 28586.29 258
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
UniMVSNet_NR-MVSNet78.15 18777.55 17579.98 24584.46 26060.26 26492.25 13893.20 9377.50 8668.88 22486.61 21066.10 6292.13 27666.38 22362.55 29787.54 232
FMVSNet568.04 29065.66 28875.18 30484.43 26157.89 29583.54 29786.26 30261.83 30453.64 32973.30 33537.15 31685.08 33948.99 30561.77 30682.56 317
MVS-HIRNet60.25 32355.55 32974.35 30984.37 26256.57 31271.64 34674.11 35534.44 36645.54 35542.24 36931.11 34089.81 30940.36 34376.10 20876.67 354
LPG-MVS_test75.82 22274.58 21479.56 25884.31 26359.37 27790.44 21389.73 23169.49 23564.86 26588.42 18438.65 30094.30 20072.56 16372.76 22685.01 287
LGP-MVS_train79.56 25884.31 26359.37 27789.73 23169.49 23564.86 26588.42 18438.65 30094.30 20072.56 16372.76 22685.01 287
ACMM69.62 1374.34 24072.73 24179.17 26384.25 26557.87 29690.36 21789.93 22363.17 28965.64 26086.04 21937.79 31094.10 20965.89 22871.52 23785.55 279
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
UniMVSNet (Re)77.58 19676.78 18879.98 24584.11 26660.80 25291.76 16493.17 9676.56 9869.93 21484.78 23363.32 9992.36 27164.89 23862.51 29986.78 249
test_040264.54 30861.09 31474.92 30584.10 26760.75 25687.95 26679.71 34452.03 34252.41 33277.20 31532.21 33591.64 28623.14 36861.03 31372.36 360
LTVRE_ROB59.60 1966.27 30163.54 30274.45 30884.00 26851.55 33667.08 35883.53 32758.78 32154.94 32380.31 29034.54 32693.23 23740.64 34268.03 26078.58 349
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
miper_lstm_enhance73.05 25171.73 25377.03 29083.80 26958.32 29181.76 31088.88 26269.80 23361.01 29678.23 30757.19 15787.51 33065.34 23659.53 32285.27 285
Patchmatch-test65.86 30360.94 31580.62 23283.75 27058.83 28558.91 36575.26 35444.50 36150.95 34077.09 31758.81 14587.90 32435.13 35564.03 28995.12 73
nrg03080.93 13579.86 13884.13 14583.69 27168.83 6093.23 10191.20 17475.55 10675.06 15488.22 19463.04 10394.74 18181.88 9366.88 26788.82 216
GA-MVS78.33 18576.23 19584.65 12983.65 27266.30 12991.44 17490.14 21576.01 10270.32 20684.02 24142.50 28594.72 18270.98 17877.00 20292.94 153
FMVSNet172.71 25869.91 26581.10 22283.60 27365.11 15990.01 22890.32 20463.92 28263.56 28180.25 29236.35 32191.54 28954.46 28766.75 26886.64 250
OPM-MVS79.00 16778.09 16481.73 20583.52 27463.83 19291.64 17090.30 20876.36 10071.97 18989.93 17246.30 26995.17 16975.10 14277.70 19186.19 262
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
tfpnnormal70.10 27267.36 27878.32 27283.45 27560.97 25088.85 25392.77 11064.85 27760.83 29878.53 30443.52 28393.48 23331.73 36561.70 30980.52 334
Effi-MVS+-dtu76.14 21375.28 20778.72 26983.22 27655.17 32089.87 23287.78 28875.42 10867.98 23581.43 27145.08 27692.52 26575.08 14371.63 23588.48 221
mvs-test178.74 17677.95 16881.14 21983.22 27657.13 30893.96 6987.78 28875.42 10872.68 17690.80 15545.08 27694.54 19375.08 14377.49 19691.74 178
CR-MVSNet73.79 24770.82 25982.70 17783.15 27867.96 8270.25 34884.00 32473.67 14369.97 21272.41 33857.82 15289.48 31252.99 29473.13 22290.64 197
RPMNet70.42 27165.68 28784.63 13183.15 27867.96 8270.25 34890.45 19846.83 35769.97 21265.10 35556.48 17395.30 16735.79 35473.13 22290.64 197
mvsmamba76.85 20575.71 20380.25 23983.07 28059.16 28191.44 17480.64 34176.84 9367.95 23686.33 21446.17 27194.24 20576.06 13772.92 22587.36 238
DU-MVS76.86 20375.84 20079.91 24782.96 28160.26 26491.26 18891.54 16076.46 9968.88 22486.35 21256.16 17492.13 27666.38 22362.55 29787.35 239
NR-MVSNet76.05 21774.59 21380.44 23382.96 28162.18 23090.83 20491.73 15277.12 9060.96 29786.35 21259.28 14091.80 28360.74 26361.34 31287.35 239
XXY-MVS77.94 19176.44 19282.43 18382.60 28364.44 17692.01 15091.83 14973.59 14470.00 21185.82 22054.43 19694.76 17969.63 19168.02 26188.10 229
TranMVSNet+NR-MVSNet75.86 22174.52 21679.89 24882.44 28460.64 26091.37 18391.37 16876.63 9667.65 24286.21 21652.37 21691.55 28861.84 25860.81 31587.48 234
bld_raw_conf00575.32 22973.81 22979.87 24982.38 28558.28 29290.86 20278.04 34675.22 11566.60 25685.65 22338.81 29794.20 20674.18 15272.54 22987.14 243
RRT_MVS74.44 23972.97 23878.84 26882.36 28657.66 30089.83 23488.79 26770.61 22364.58 26984.89 23139.24 29592.65 26170.11 18766.34 27186.21 261
IterMVS72.65 26070.83 25878.09 27782.17 28762.96 21487.64 27386.28 30171.56 20360.44 29978.85 30345.42 27586.66 33463.30 24861.83 30584.65 291
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Patchmtry67.53 29563.93 30078.34 27182.12 28864.38 18068.72 35284.00 32448.23 35459.24 30472.41 33857.82 15289.27 31346.10 32056.68 33281.36 326
PatchT69.11 28065.37 29180.32 23582.07 28963.68 20067.96 35787.62 29050.86 34669.37 21665.18 35457.09 15888.53 31841.59 33866.60 26988.74 217
MIMVSNet71.64 26368.44 27381.23 21681.97 29064.44 17673.05 34488.80 26569.67 23464.59 26874.79 33132.79 33187.82 32553.99 28976.35 20791.42 183
MVP-Stereo77.12 20276.23 19579.79 25281.72 29166.34 12889.29 24490.88 18970.56 22462.01 29382.88 25149.34 24194.13 20865.55 23493.80 4578.88 346
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
IterMVS-SCA-FT71.55 26569.97 26376.32 29781.48 29260.67 25987.64 27385.99 30666.17 26859.50 30378.88 30245.53 27383.65 34762.58 25461.93 30484.63 292
COLMAP_ROBcopyleft57.96 2062.98 31659.65 31872.98 31981.44 29353.00 33083.75 29675.53 35348.34 35348.81 34681.40 27324.14 35490.30 30032.95 36160.52 31875.65 356
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
JIA-IIPM66.06 30262.45 30976.88 29481.42 29454.45 32557.49 36688.67 27049.36 35063.86 27846.86 36556.06 17790.25 30149.53 30368.83 25485.95 270
WR-MVS_H70.59 26969.94 26472.53 32281.03 29551.43 33787.35 27692.03 13867.38 25960.23 30080.70 28355.84 18183.45 34946.33 31958.58 32782.72 312
test_low_dy_conf_00174.54 23873.33 23478.16 27680.91 29655.04 32189.24 24689.06 25769.33 23864.21 27685.60 22439.35 29492.96 24271.28 17671.03 24286.49 255
Fast-Effi-MVS+-dtu75.04 23373.37 23380.07 24380.86 29759.52 27591.20 19285.38 31071.90 18465.20 26384.84 23241.46 28892.97 24166.50 22272.96 22487.73 231
Baseline_NR-MVSNet73.99 24472.83 23977.48 28380.78 29859.29 28091.79 16184.55 31968.85 24568.99 22280.70 28356.16 17492.04 27962.67 25360.98 31481.11 327
CP-MVSNet70.50 27069.91 26572.26 32580.71 29951.00 34087.23 27790.30 20867.84 25359.64 30282.69 25350.23 23482.30 35751.28 29659.28 32383.46 302
v875.35 22873.26 23581.61 20980.67 30066.82 11589.54 23989.27 24471.65 19663.30 28480.30 29154.99 18994.06 21367.33 21362.33 30083.94 295
PS-MVSNAJss77.26 20076.31 19480.13 24280.64 30159.16 28190.63 21291.06 18472.80 15968.58 23084.57 23653.55 20593.96 22172.97 15671.96 23487.27 242
TransMVSNet (Re)70.07 27367.66 27777.31 28780.62 30259.13 28391.78 16384.94 31565.97 26960.08 30180.44 28850.78 22891.87 28148.84 30645.46 35480.94 329
v2v48277.42 19875.65 20482.73 17680.38 30367.13 10791.85 15990.23 21275.09 11769.37 21683.39 24853.79 20394.44 19771.77 17265.00 28086.63 253
MVS_030468.99 28367.23 28074.28 31180.36 30452.54 33187.01 28086.36 29959.89 31666.22 25773.56 33424.25 35388.03 32357.34 27970.11 24582.27 320
PS-CasMVS69.86 27669.13 27072.07 32880.35 30550.57 34287.02 27989.75 22867.27 26059.19 30682.28 25746.58 26482.24 35850.69 29859.02 32483.39 304
v1074.77 23672.54 24581.46 21180.33 30666.71 11989.15 25089.08 25570.94 21563.08 28579.86 29652.52 21494.04 21665.70 23162.17 30183.64 297
test0.0.03 172.76 25672.71 24272.88 32080.25 30747.99 35291.22 19089.45 23871.51 20562.51 29187.66 20053.83 20185.06 34050.16 30067.84 26485.58 277
v114476.73 20974.88 20982.27 18980.23 30866.60 12291.68 16890.21 21473.69 14169.06 22181.89 26252.73 21394.40 19869.21 19765.23 27785.80 273
v14876.19 21274.47 21781.36 21380.05 30964.44 17691.75 16690.23 21273.68 14267.13 24980.84 28255.92 18093.86 22768.95 20061.73 30885.76 276
v119275.98 21973.92 22682.15 19479.73 31066.24 13191.22 19089.75 22872.67 16168.49 23181.42 27249.86 23794.27 20267.08 21465.02 27985.95 270
AllTest61.66 31858.06 32272.46 32379.57 31151.42 33880.17 32568.61 36551.25 34445.88 35181.23 27519.86 36386.58 33538.98 34657.01 33079.39 342
TestCases72.46 32379.57 31151.42 33868.61 36551.25 34445.88 35181.23 27519.86 36386.58 33538.98 34657.01 33079.39 342
MDA-MVSNet-bldmvs61.54 32057.70 32473.05 31879.53 31357.00 31083.08 30581.23 33757.57 32434.91 36672.45 33732.79 33186.26 33735.81 35341.95 35875.89 355
v14419276.05 21774.03 22482.12 19779.50 31466.55 12491.39 18089.71 23472.30 17368.17 23381.33 27451.75 22094.03 21867.94 20664.19 28785.77 274
v192192075.63 22673.49 23282.06 20179.38 31566.35 12791.07 19789.48 23771.98 18167.99 23481.22 27749.16 24693.90 22466.56 21964.56 28685.92 272
PEN-MVS69.46 27868.56 27272.17 32779.27 31649.71 34686.90 28189.24 24567.24 26359.08 30782.51 25647.23 26183.54 34848.42 30857.12 32883.25 305
v124075.21 23272.98 23781.88 20379.20 31766.00 13590.75 20789.11 25471.63 20067.41 24681.22 27747.36 26093.87 22565.46 23564.72 28485.77 274
pmmvs473.92 24571.81 25280.25 23979.17 31865.24 15487.43 27587.26 29467.64 25863.46 28283.91 24348.96 24891.53 29262.94 25065.49 27383.96 294
D2MVS73.80 24672.02 25079.15 26579.15 31962.97 21388.58 25890.07 21772.94 15559.22 30578.30 30542.31 28792.70 25765.59 23372.00 23381.79 324
V4276.46 21174.55 21582.19 19379.14 32067.82 8690.26 22189.42 24073.75 13968.63 22981.89 26251.31 22494.09 21071.69 17464.84 28184.66 290
pm-mvs172.89 25471.09 25778.26 27479.10 32157.62 30190.80 20589.30 24367.66 25662.91 28781.78 26449.11 24792.95 24360.29 26758.89 32584.22 293
our_test_368.29 28864.69 29479.11 26678.92 32264.85 16888.40 26285.06 31360.32 31252.68 33176.12 32540.81 29089.80 31144.25 32855.65 33382.67 316
ppachtmachnet_test67.72 29263.70 30179.77 25378.92 32266.04 13488.68 25682.90 33360.11 31455.45 32275.96 32639.19 29690.55 29739.53 34452.55 34282.71 313
TinyColmap60.32 32256.42 32872.00 32978.78 32453.18 32978.36 33575.64 35152.30 34141.59 36275.82 32814.76 36888.35 32035.84 35254.71 33874.46 357
SixPastTwentyTwo64.92 30661.78 31374.34 31078.74 32549.76 34583.42 30179.51 34562.86 29150.27 34177.35 31230.92 34190.49 29945.89 32147.06 35182.78 309
EG-PatchMatch MVS68.55 28565.41 29077.96 27878.69 32662.93 21589.86 23389.17 24960.55 30950.27 34177.73 31122.60 35894.06 21347.18 31672.65 22876.88 353
pmmvs573.35 24971.52 25478.86 26778.64 32760.61 26191.08 19586.90 29567.69 25563.32 28383.64 24444.33 28090.53 29862.04 25766.02 27285.46 280
UniMVSNet_ETH3D72.74 25770.53 26079.36 26078.62 32856.64 31185.01 28989.20 24763.77 28464.84 26784.44 23734.05 32791.86 28263.94 24370.89 24389.57 209
XVG-OURS74.25 24272.46 24679.63 25578.45 32957.59 30280.33 32287.39 29163.86 28368.76 22789.62 17540.50 29191.72 28569.00 19974.25 21489.58 208
XVG-OURS-SEG-HR74.70 23773.08 23679.57 25778.25 33057.33 30780.49 32087.32 29263.22 28868.76 22790.12 17144.89 27891.59 28770.55 18474.09 21689.79 205
MDA-MVSNet_test_wron63.78 31360.16 31674.64 30678.15 33160.41 26283.49 29884.03 32256.17 33539.17 36471.59 34437.22 31483.24 35242.87 33348.73 34880.26 337
YYNet163.76 31460.14 31774.62 30778.06 33260.19 26783.46 30083.99 32656.18 33439.25 36371.56 34537.18 31583.34 35042.90 33248.70 34980.32 336
DTE-MVSNet68.46 28767.33 27971.87 33077.94 33349.00 34986.16 28688.58 27466.36 26758.19 31182.21 25946.36 26583.87 34644.97 32655.17 33582.73 311
USDC67.43 29764.51 29676.19 29877.94 33355.29 31978.38 33485.00 31473.17 15048.36 34780.37 28921.23 36092.48 26752.15 29564.02 29080.81 331
bld_raw_dy_0_6471.59 26469.71 26877.22 28977.82 33558.12 29487.71 27173.66 35668.01 25261.90 29584.29 23933.68 32888.43 31969.91 18970.43 24485.11 286
jajsoiax73.05 25171.51 25577.67 28077.46 33654.83 32288.81 25490.04 22169.13 24362.85 28883.51 24631.16 33992.75 25470.83 17969.80 24685.43 281
mvs_tets72.71 25871.11 25677.52 28177.41 33754.52 32488.45 26189.76 22768.76 24862.70 28983.26 24929.49 34392.71 25570.51 18569.62 24885.34 283
N_pmnet50.55 33149.11 33454.88 34977.17 3384.02 38584.36 2922.00 38448.59 35145.86 35368.82 34932.22 33482.80 35431.58 36651.38 34477.81 351
test_djsdf73.76 24872.56 24477.39 28577.00 33953.93 32689.07 25190.69 19265.80 27063.92 27782.03 26143.14 28492.67 25872.83 15868.53 25785.57 278
OpenMVS_ROBcopyleft61.12 1866.39 30062.92 30676.80 29576.51 34057.77 29789.22 24783.41 32955.48 33653.86 32877.84 31026.28 35293.95 22234.90 35668.76 25578.68 348
v7n71.31 26668.65 27179.28 26176.40 34160.77 25486.71 28389.45 23864.17 28158.77 31078.24 30644.59 27993.54 23157.76 27661.75 30783.52 300
K. test v363.09 31559.61 31973.53 31576.26 34249.38 34883.27 30277.15 34864.35 27947.77 34972.32 34028.73 34587.79 32649.93 30236.69 36483.41 303
RPSCF64.24 31061.98 31271.01 33276.10 34345.00 35975.83 34175.94 35046.94 35658.96 30884.59 23531.40 33882.00 35947.76 31460.33 32186.04 267
OurMVSNet-221017-064.68 30762.17 31172.21 32676.08 34447.35 35580.67 31981.02 33856.19 33351.60 33579.66 29927.05 35088.56 31753.60 29253.63 34080.71 332
Anonymous2023120667.53 29565.78 28572.79 32174.95 34547.59 35488.23 26387.32 29261.75 30558.07 31377.29 31437.79 31087.29 33242.91 33163.71 29283.48 301
EGC-MVSNET42.35 33438.09 33755.11 34874.57 34646.62 35771.63 34755.77 3740.04 3790.24 38062.70 35814.24 36974.91 36517.59 37146.06 35343.80 368
ITE_SJBPF70.43 33374.44 34747.06 35677.32 34760.16 31354.04 32783.53 24523.30 35784.01 34443.07 33061.58 31180.21 339
EU-MVSNet64.01 31163.01 30567.02 34274.40 34838.86 37183.27 30286.19 30445.11 35954.27 32581.15 28036.91 31980.01 36248.79 30757.02 32982.19 322
XVG-ACMP-BASELINE68.04 29065.53 28975.56 30174.06 34952.37 33278.43 33385.88 30762.03 30058.91 30981.21 27920.38 36291.15 29560.69 26468.18 25983.16 307
CL-MVSNet_self_test69.92 27468.09 27675.41 30273.25 35055.90 31690.05 22789.90 22469.96 23061.96 29476.54 32051.05 22787.64 32749.51 30450.59 34682.70 314
anonymousdsp71.14 26769.37 26976.45 29672.95 35154.71 32384.19 29388.88 26261.92 30262.15 29279.77 29738.14 30591.44 29468.90 20167.45 26583.21 306
lessismore_v073.72 31472.93 35247.83 35361.72 37345.86 35373.76 33328.63 34789.81 30947.75 31531.37 36983.53 299
pmmvs667.57 29464.76 29376.00 30072.82 35353.37 32888.71 25586.78 29853.19 34057.58 31878.03 30935.33 32492.41 26855.56 28454.88 33782.21 321
testgi64.48 30962.87 30769.31 33571.24 35440.62 36685.49 28779.92 34365.36 27454.18 32683.49 24723.74 35684.55 34141.60 33760.79 31682.77 310
Patchmatch-RL test68.17 28964.49 29779.19 26271.22 35553.93 32670.07 35071.54 36269.22 24056.79 32062.89 35756.58 17188.61 31569.53 19352.61 34195.03 79
Gipumacopyleft34.91 33931.44 34245.30 35470.99 35639.64 37019.85 37472.56 35920.10 37216.16 37421.47 3755.08 37971.16 36713.07 37343.70 35725.08 372
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
UnsupCasMVSNet_eth65.79 30463.10 30473.88 31270.71 35750.29 34481.09 31789.88 22572.58 16349.25 34574.77 33232.57 33387.43 33155.96 28341.04 36083.90 296
CMPMVSbinary48.56 2166.77 29964.41 29873.84 31370.65 35850.31 34377.79 33885.73 30945.54 35844.76 35682.14 26035.40 32390.14 30763.18 24974.54 21381.07 328
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test20.0363.83 31262.65 30867.38 34170.58 35939.94 36786.57 28484.17 32163.29 28751.86 33477.30 31337.09 31782.47 35538.87 34854.13 33979.73 340
MIMVSNet160.16 32457.33 32568.67 33669.71 36044.13 36178.92 33184.21 32055.05 33744.63 35771.85 34223.91 35581.54 36132.63 36355.03 33680.35 335
pmmvs-eth3d65.53 30562.32 31075.19 30369.39 36159.59 27382.80 30783.43 32862.52 29651.30 33872.49 33632.86 33087.16 33355.32 28550.73 34578.83 347
UnsupCasMVSNet_bld61.60 31957.71 32373.29 31768.73 36251.64 33578.61 33289.05 25857.20 32846.11 35061.96 35928.70 34688.60 31650.08 30138.90 36279.63 341
Anonymous2024052162.09 31759.08 32071.10 33167.19 36348.72 35083.91 29585.23 31250.38 34747.84 34871.22 34620.74 36185.51 33846.47 31858.75 32679.06 345
KD-MVS_self_test60.87 32158.60 32167.68 33966.13 36439.93 36875.63 34284.70 31757.32 32749.57 34468.45 35029.55 34282.87 35348.09 30947.94 35080.25 338
new-patchmatchnet59.30 32656.48 32767.79 33865.86 36544.19 36082.47 30881.77 33559.94 31543.65 36066.20 35327.67 34881.68 36039.34 34541.40 35977.50 352
PM-MVS59.40 32556.59 32667.84 33763.63 36641.86 36376.76 33963.22 37159.01 32051.07 33972.27 34111.72 37183.25 35161.34 26050.28 34778.39 350
DSMNet-mixed56.78 32754.44 33063.79 34463.21 36729.44 37564.43 36064.10 37042.12 36351.32 33771.60 34331.76 33675.04 36436.23 35165.20 27886.87 248
new_pmnet49.31 33246.44 33557.93 34662.84 36840.74 36568.47 35462.96 37236.48 36535.09 36557.81 36114.97 36772.18 36632.86 36246.44 35260.88 366
LF4IMVS54.01 33052.12 33159.69 34562.41 36939.91 36968.59 35368.28 36742.96 36244.55 35875.18 32914.09 37068.39 36841.36 33951.68 34370.78 361
ambc69.61 33461.38 37041.35 36449.07 36985.86 30850.18 34366.40 35210.16 37288.14 32245.73 32244.20 35579.32 344
TDRefinement55.28 32951.58 33266.39 34359.53 37146.15 35876.23 34072.80 35844.60 36042.49 36176.28 32415.29 36682.39 35633.20 36043.75 35670.62 362
pmmvs355.51 32851.50 33367.53 34057.90 37250.93 34180.37 32173.66 35640.63 36444.15 35964.75 35616.30 36578.97 36344.77 32740.98 36172.69 358
test_method38.59 33735.16 34048.89 35354.33 37321.35 38045.32 37053.71 3757.41 37628.74 36751.62 3638.70 37552.87 37433.73 35732.89 36872.47 359
DeepMVS_CXcopyleft34.71 35751.45 37424.73 37928.48 38331.46 36717.49 37352.75 3625.80 37842.60 37818.18 37019.42 37136.81 370
FPMVS45.64 33343.10 33653.23 35151.42 37536.46 37264.97 35971.91 36029.13 36827.53 36861.55 3609.83 37365.01 37216.00 37255.58 33458.22 367
wuyk23d11.30 34610.95 34912.33 36148.05 37619.89 38125.89 3731.92 3853.58 3773.12 3791.37 3790.64 38415.77 3806.23 3787.77 3781.35 376
PMMVS237.93 33833.61 34150.92 35246.31 37724.76 37860.55 36450.05 37628.94 36920.93 37047.59 3644.41 38165.13 37125.14 36718.55 37262.87 365
E-PMN24.61 34124.00 34526.45 35843.74 37818.44 38260.86 36239.66 37815.11 3739.53 37722.10 3746.52 37746.94 3768.31 37610.14 37413.98 374
EMVS23.76 34323.20 34725.46 35941.52 37916.90 38360.56 36338.79 38114.62 3748.99 37820.24 3777.35 37645.82 3777.25 3779.46 37513.64 375
LCM-MVSNet40.54 33535.79 33854.76 35036.92 38030.81 37451.41 36769.02 36422.07 37024.63 36945.37 3674.56 38065.81 37033.67 35834.50 36767.67 363
ANet_high40.27 33635.20 33955.47 34734.74 38134.47 37363.84 36171.56 36148.42 35218.80 37241.08 3709.52 37464.45 37320.18 3698.66 37767.49 364
MVEpermissive24.84 2324.35 34219.77 34838.09 35634.56 38226.92 37726.57 37238.87 38011.73 37511.37 37627.44 3721.37 38350.42 37511.41 37414.60 37336.93 369
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMVScopyleft26.43 2231.84 34028.16 34342.89 35525.87 38327.58 37650.92 36849.78 37721.37 37114.17 37540.81 3712.01 38266.62 3699.61 37538.88 36334.49 371
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
tmp_tt22.26 34423.75 34617.80 3605.23 38412.06 38435.26 37139.48 3792.82 37818.94 37144.20 36822.23 35924.64 37936.30 3509.31 37616.69 373
testmvs7.23 3489.62 3510.06 3630.04 3850.02 38784.98 2900.02 3860.03 3800.18 3811.21 3800.01 3860.02 3810.14 3790.01 3790.13 378
test1236.92 3499.21 3520.08 3620.03 3860.05 38681.65 3130.01 3870.02 3810.14 3820.85 3810.03 3850.02 3810.12 3800.00 3800.16 377
test_blank0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3800.00 379
eth-test20.00 387
eth-test0.00 387
uanet_test0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3800.00 379
DCPMVS0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3800.00 379
cdsmvs_eth3d_5k19.86 34526.47 3440.00 3640.00 3870.00 3880.00 37593.45 820.00 3820.00 38395.27 5249.56 2390.00 3830.00 3810.00 3800.00 379
pcd_1.5k_mvsjas4.46 3505.95 3530.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 38253.55 2050.00 3830.00 3810.00 3800.00 379
sosnet-low-res0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3800.00 379
sosnet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3800.00 379
uncertanet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3800.00 379
Regformer0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3800.00 379
ab-mvs-re7.91 34710.55 3500.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 38394.95 640.00 3870.00 3830.00 3810.00 3800.00 379
uanet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3820.00 3870.00 3830.00 3810.00 3800.00 379
PC_three_145280.91 3694.07 296.83 1483.57 499.12 595.70 297.42 497.55 4
test_241102_TWO94.41 4571.65 19692.07 697.21 574.58 1799.11 692.34 895.36 1496.59 15
test_0728_THIRD72.48 16690.55 1696.93 1076.24 1199.08 1191.53 1694.99 1796.43 26
GSMVS94.68 89
sam_mvs157.85 15194.68 89
sam_mvs54.91 190
MTGPAbinary92.23 128
test_post178.95 33020.70 37653.05 21091.50 29360.43 265
test_post23.01 37356.49 17292.67 258
patchmatchnet-post67.62 35157.62 15490.25 301
MTMP93.77 8432.52 382
test9_res89.41 2694.96 1895.29 62
agg_prior286.41 5794.75 3095.33 58
test_prior467.18 10693.92 75
test_prior295.10 3775.40 11085.25 5495.61 4067.94 4587.47 4694.77 25
旧先验292.00 15359.37 31987.54 2993.47 23475.39 140
新几何291.41 176
无先验92.71 12192.61 11962.03 30097.01 9366.63 21793.97 121
原ACMM292.01 150
testdata296.09 12861.26 261
segment_acmp65.94 64
testdata189.21 24877.55 85
plane_prior591.31 17095.55 15776.74 13278.53 18688.39 224
plane_prior489.14 179
plane_prior361.95 23479.09 5972.53 180
plane_prior293.13 10378.81 65
plane_prior62.42 22493.85 7979.38 5178.80 183
n20.00 388
nn0.00 388
door-mid66.01 369
test1193.01 102
door66.57 368
HQP5-MVS63.66 201
BP-MVS77.63 129
HQP4-MVS74.18 16095.61 15188.63 218
HQP3-MVS91.70 15578.90 181
HQP2-MVS51.63 222
MDTV_nov1_ep13_2view59.90 27080.13 32667.65 25772.79 17554.33 19859.83 26992.58 161
ACMMP++_ref71.63 235
ACMMP++69.72 247
Test By Simon54.21 199