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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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 14191.10 197.53 7496.58 30
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
DVP-MVS++90.07 4291.09 3587.00 10191.55 13372.64 14496.19 294.10 3885.33 3293.49 3894.64 5881.12 12095.88 1687.41 2195.94 13292.48 163
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4896.29 1688.16 3594.17 9886.07 4498.48 1897.22 18
LCM-MVSNet95.70 196.40 193.61 298.67 185.39 3495.54 597.36 196.97 199.04 199.05 196.61 195.92 1485.07 5399.27 199.54 1
LS3D90.60 3390.34 5091.38 2789.03 18884.23 4793.58 694.68 1990.65 790.33 9393.95 9784.50 7295.37 5380.87 9995.50 14994.53 80
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9688.22 2088.53 13297.64 283.45 8494.55 8486.02 4798.60 1396.67 27
HPM-MVScopyleft92.13 992.20 1191.91 1795.58 2684.67 4393.51 894.85 1682.88 5791.77 7093.94 9890.55 1395.73 3088.50 798.23 2995.33 54
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 8194.00 9088.26 3295.71 3187.28 2698.39 2192.55 160
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6786.15 2393.37 1095.10 1490.28 992.11 6295.03 4489.75 2194.93 6979.95 10998.27 2795.04 64
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 5994.14 8489.15 2395.62 3587.35 2398.24 2894.56 77
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
abl_693.02 493.16 492.60 494.73 4488.99 793.26 1294.19 3089.11 1294.43 1695.27 3891.86 395.09 6487.54 1898.02 4093.71 116
HPM-MVS_fast92.50 592.54 692.37 695.93 1685.81 3292.99 1394.23 2685.21 3492.51 5695.13 4290.65 1095.34 5488.06 998.15 3595.95 41
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6588.83 2495.51 4587.16 2897.60 6792.73 151
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6590.64 1187.16 2897.60 6792.73 151
APDe-MVS91.22 2491.92 1389.14 6792.97 8378.04 9392.84 1694.14 3583.33 5193.90 2595.73 2788.77 2696.41 187.60 1697.98 4492.98 142
MSP-MVS89.08 6588.16 7891.83 2195.76 1886.14 2492.75 1793.90 4678.43 11289.16 12292.25 14572.03 21796.36 288.21 890.93 25692.98 142
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-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 10183.09 5491.54 7294.25 7787.67 4395.51 4587.21 2798.11 3693.12 137
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9994.03 8886.57 5695.80 2487.35 2397.62 6594.20 92
X-MVStestdata85.04 12482.70 16892.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9916.05 37486.57 5695.80 2487.35 2397.62 6594.20 92
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8694.21 7887.75 4195.87 1887.60 1697.71 6193.83 108
HFP-MVS91.30 2191.39 2591.02 3395.43 2984.66 4492.58 2293.29 7381.99 6691.47 7393.96 9488.35 3095.56 3887.74 1197.74 5992.85 146
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7681.99 6691.40 7594.17 8287.51 4495.87 1887.74 1197.76 5793.99 101
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4294.02 8990.15 1795.67 3386.82 3297.34 8092.19 180
TSAR-MVS + MP.88.14 7687.82 8189.09 6895.72 2276.74 11692.49 2591.19 13867.85 24286.63 16894.84 4979.58 13695.96 1387.62 1494.50 18194.56 77
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8185.17 3692.47 2695.05 1587.65 2493.21 4394.39 7190.09 1895.08 6586.67 3497.60 6794.18 94
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2793.03 8782.59 6088.52 13394.37 7286.74 5395.41 5286.32 3898.21 3093.19 135
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2894.22 2780.14 8991.29 7893.97 9187.93 4095.87 1888.65 497.96 4794.12 98
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 2992.30 10779.74 9287.50 14992.38 13881.42 11793.28 13683.07 7497.24 8391.67 196
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3091.81 12184.07 4092.00 6594.40 6986.63 5495.28 5788.59 598.31 2492.30 172
test117292.40 792.41 792.37 694.68 4589.04 691.98 3193.62 5790.14 1193.63 3694.16 8388.83 2495.51 4587.11 3097.54 7392.54 161
MVSFormer82.23 17881.57 18784.19 16185.54 25569.26 18391.98 3190.08 17271.54 20076.23 30385.07 28758.69 28694.27 8986.26 3988.77 28189.03 249
test_djsdf89.62 5489.01 6691.45 2592.36 9982.98 5591.98 3190.08 17271.54 20094.28 2196.54 1381.57 11594.27 8986.26 3996.49 10797.09 20
OurMVSNet-221017-090.01 4689.74 5590.83 3793.16 7980.37 7191.91 3493.11 8081.10 7795.32 1097.24 572.94 20594.85 7285.07 5397.78 5697.26 16
EGC-MVSNET74.79 26969.99 30389.19 6694.89 3987.00 1491.89 3586.28 2321.09 3752.23 37795.98 2481.87 11289.48 24279.76 11195.96 13091.10 206
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3693.74 5280.98 7991.38 7693.80 10187.20 4895.80 2487.10 3197.69 6293.93 104
EPP-MVSNet85.47 11585.04 12886.77 10691.52 13669.37 18091.63 3787.98 20881.51 7387.05 15891.83 15466.18 24595.29 5570.75 20796.89 9195.64 46
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3893.48 6382.82 5892.60 5593.97 9188.19 3396.29 487.61 1598.20 3294.39 86
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bld_raw_conf00588.83 7088.48 7589.85 5292.53 9476.54 11791.30 3993.28 7574.96 15393.26 4196.02 2370.41 22595.63 3486.73 3397.87 5297.39 14
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14281.66 6491.25 4094.13 3688.89 1388.83 12794.26 7677.55 15395.86 2184.88 5695.87 13695.24 58
IS-MVSNet86.66 9686.82 9986.17 12292.05 11266.87 20391.21 4188.64 19486.30 3089.60 11592.59 13169.22 22994.91 7073.89 17797.89 5196.72 25
SF-MVS90.27 3990.80 4588.68 7892.86 8777.09 11191.19 4295.74 581.38 7492.28 6093.80 10186.89 5194.64 7885.52 4997.51 7594.30 90
SMA-MVScopyleft90.31 3890.48 4989.83 5395.31 3179.52 8090.98 4393.24 7775.37 14992.84 4995.28 3785.58 6696.09 787.92 1097.76 5793.88 106
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
MTMP90.66 4433.14 380
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4593.29 7377.00 12691.47 7393.96 9488.35 3095.56 3884.88 5697.74 5992.85 146
test072694.16 5372.56 14890.63 4693.90 4683.61 4793.75 3194.49 6289.76 19
DVP-MVScopyleft90.06 4391.32 3086.29 11594.16 5372.56 14890.54 4791.01 14283.61 4793.75 3194.65 5589.76 1995.78 2786.42 3597.97 4590.55 223
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_SECOND86.79 10594.25 4972.45 15290.54 4794.10 3895.88 1686.42 3597.97 4592.02 184
anonymousdsp89.73 5388.88 7092.27 989.82 17686.67 1790.51 4990.20 16969.87 22095.06 1196.14 2184.28 7593.07 14687.68 1396.34 11497.09 20
SED-MVS90.46 3791.64 1986.93 10294.18 5072.65 14290.47 5093.69 5483.77 4494.11 2394.27 7390.28 1595.84 2286.03 4597.92 4892.29 174
OPU-MVS88.27 8791.89 11877.83 9790.47 5091.22 16881.12 12094.68 7674.48 17095.35 15292.29 174
CS-MVS88.14 7687.67 8489.54 6189.56 17879.18 8390.47 5094.77 1879.37 9984.32 21089.33 21683.87 7794.53 8582.45 8194.89 17194.90 65
DROMVSNet88.01 7888.32 7787.09 10089.28 18372.03 15890.31 5396.31 380.88 8085.12 19589.67 21184.47 7495.46 4982.56 8096.26 11993.77 114
PMVScopyleft80.48 690.08 4190.66 4788.34 8696.71 392.97 190.31 5389.57 18288.51 1990.11 9595.12 4390.98 788.92 25177.55 14097.07 8783.13 318
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
APD-MVScopyleft89.54 5689.63 5789.26 6592.57 9281.34 6690.19 5593.08 8380.87 8191.13 7993.19 11286.22 6195.97 1282.23 8597.18 8590.45 225
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
testtj89.51 5789.48 6089.59 5992.26 10380.80 6990.14 5693.54 6183.37 5090.57 9092.55 13484.99 6896.15 581.26 9396.61 10291.83 191
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 5793.90 4680.32 8691.74 7194.41 6888.17 3495.98 1186.37 3797.99 4293.96 103
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 5794.27 2382.35 6393.67 3494.82 5091.18 595.52 4385.36 5198.73 795.23 59
v7n90.13 4090.96 4187.65 9591.95 11471.06 16989.99 5993.05 8486.53 2894.29 1996.27 1782.69 9194.08 10286.25 4197.63 6497.82 8
ACMMP_NAP90.65 3191.07 3889.42 6295.93 1679.54 7989.95 6093.68 5677.65 11991.97 6794.89 4788.38 2895.45 5089.27 397.87 5293.27 131
QAPM82.59 17382.59 17282.58 19686.44 23766.69 20489.94 6190.36 15967.97 23984.94 19992.58 13372.71 20892.18 16870.63 21087.73 29588.85 252
mvs_tets89.78 5289.27 6391.30 2893.51 6984.79 4189.89 6290.63 15270.00 21994.55 1596.67 1187.94 3993.59 12384.27 6395.97 12995.52 49
SD-MVS88.96 6789.88 5386.22 11891.63 12677.07 11289.82 6393.77 5178.90 10592.88 4692.29 14386.11 6290.22 22586.24 4297.24 8391.36 203
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
jajsoiax89.41 5888.81 7291.19 3293.38 7384.72 4289.70 6490.29 16669.27 22394.39 1796.38 1586.02 6493.52 12783.96 6595.92 13495.34 53
HPM-MVS++copyleft88.93 6888.45 7690.38 4594.92 3785.85 3089.70 6491.27 13578.20 11486.69 16792.28 14480.36 13095.06 6686.17 4396.49 10790.22 228
RPSCF88.00 7986.93 9691.22 3190.08 17089.30 589.68 6691.11 13979.26 10089.68 10994.81 5382.44 9487.74 26576.54 15288.74 28396.61 29
UniMVSNet_ETH3D89.12 6490.72 4684.31 15797.00 264.33 22189.67 6788.38 19888.84 1594.29 1997.57 390.48 1491.26 19372.57 19597.65 6397.34 15
ACMH+77.89 1190.73 3091.50 2388.44 8393.00 8276.26 12389.65 6895.55 787.72 2393.89 2794.94 4691.62 493.44 13178.35 12698.76 495.61 48
ACMM79.39 990.65 3190.99 4089.63 5795.03 3583.53 4989.62 6993.35 6679.20 10193.83 2893.60 10890.81 892.96 14885.02 5598.45 1992.41 166
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMH76.49 1489.34 6091.14 3483.96 16592.50 9670.36 17489.55 7093.84 5081.89 6994.70 1395.44 3590.69 988.31 26183.33 7298.30 2693.20 134
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Gipumacopyleft84.44 13686.33 10378.78 25284.20 27573.57 13589.55 7090.44 15684.24 3984.38 20894.89 4776.35 17180.40 32676.14 15696.80 9782.36 326
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
WR-MVS_H89.91 5091.31 3185.71 13196.32 1062.39 24389.54 7293.31 7090.21 1095.57 995.66 3081.42 11795.90 1580.94 9898.80 398.84 5
AllTest87.97 8087.40 8989.68 5591.59 12783.40 5089.50 7395.44 979.47 9588.00 14293.03 11582.66 9291.47 18570.81 20496.14 12394.16 95
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7493.98 4279.68 9392.09 6393.89 9983.80 8093.10 14582.67 7998.04 3793.64 121
HQP_MVS87.75 8587.43 8888.70 7793.45 7076.42 12189.45 7593.61 5879.44 9786.55 16992.95 12074.84 18095.22 5980.78 10195.83 13794.46 82
plane_prior289.45 7579.44 97
CS-MVS-test87.00 9086.43 10288.71 7689.46 17977.46 10389.42 7795.73 677.87 11781.64 25587.25 25082.43 9594.53 8577.65 13896.46 10994.14 97
PHI-MVS86.38 10085.81 11488.08 8988.44 20177.34 10789.35 7893.05 8473.15 17984.76 20287.70 24178.87 14094.18 9680.67 10396.29 11592.73 151
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 7994.05 4079.03 10492.87 4793.74 10590.60 1295.21 6182.87 7798.76 494.87 67
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
DPE-MVScopyleft90.53 3591.08 3688.88 6993.38 7378.65 8989.15 8094.05 4084.68 3893.90 2594.11 8688.13 3696.30 384.51 6197.81 5591.70 195
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
PS-CasMVS90.06 4391.92 1384.47 15296.56 758.83 28789.04 8192.74 9891.40 596.12 496.06 2287.23 4795.57 3779.42 11898.74 699.00 2
PEN-MVS90.03 4591.88 1684.48 15196.57 658.88 28488.95 8293.19 7891.62 496.01 696.16 2087.02 4995.60 3678.69 12398.72 998.97 3
zzz-MVS91.27 2291.26 3391.29 2996.59 486.29 1988.94 8391.81 12184.07 4092.00 6594.40 6986.63 5495.28 5788.59 598.31 2492.30 172
DTE-MVSNet89.98 4791.91 1584.21 15996.51 857.84 29288.93 8492.84 9591.92 396.16 396.23 1886.95 5095.99 1079.05 12098.57 1598.80 6
Anonymous2023121188.40 7389.62 5884.73 14790.46 16465.27 21288.86 8593.02 8887.15 2593.05 4497.10 682.28 10092.02 17376.70 14997.99 4296.88 24
F-COLMAP84.97 12783.42 15789.63 5792.39 9883.40 5088.83 8691.92 11773.19 17880.18 27589.15 22077.04 16093.28 13665.82 25092.28 22992.21 179
9.1489.29 6291.84 12288.80 8795.32 1175.14 15191.07 8092.89 12287.27 4693.78 11483.69 6997.55 70
3Dnovator80.37 784.80 12884.71 13685.06 14286.36 24274.71 12988.77 8890.00 17475.65 14484.96 19793.17 11374.06 18991.19 19578.28 12891.09 24889.29 243
ETH3D-3000-0.188.85 6988.96 6988.52 7991.94 11677.27 11088.71 8995.26 1376.08 13390.66 8992.69 12984.48 7393.83 11383.38 7197.48 7794.47 81
API-MVS82.28 17782.61 17181.30 21586.29 24569.79 17588.71 8987.67 21178.42 11382.15 24484.15 29977.98 14791.59 18365.39 25292.75 21882.51 325
CP-MVSNet89.27 6190.91 4384.37 15396.34 958.61 28988.66 9192.06 11290.78 695.67 795.17 4181.80 11395.54 4279.00 12198.69 1098.95 4
DeepC-MVS82.31 489.15 6389.08 6589.37 6393.64 6879.07 8488.54 9294.20 2873.53 16889.71 10894.82 5085.09 6795.77 2984.17 6498.03 3993.26 132
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OpenMVScopyleft76.72 1381.98 18482.00 18081.93 20484.42 26868.22 19288.50 9389.48 18366.92 24881.80 25291.86 15172.59 21090.16 22771.19 20391.25 24787.40 268
ambc82.98 18690.55 16364.86 21588.20 9489.15 18889.40 11993.96 9471.67 22091.38 19278.83 12296.55 10492.71 154
PAPM_NR83.23 16683.19 16283.33 17890.90 15365.98 20888.19 9590.78 14878.13 11680.87 26487.92 23973.49 19892.42 16070.07 21488.40 28491.60 198
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9694.51 2175.79 14292.94 4594.96 4588.36 2995.01 6790.70 298.40 2095.09 63
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
test_part187.15 8987.82 8185.15 14088.88 19263.04 23387.98 9794.85 1682.52 6193.61 3795.73 2767.51 23795.71 3180.48 10698.83 296.69 26
CSCG86.26 10286.47 10185.60 13390.87 15474.26 13287.98 9791.85 11880.35 8589.54 11888.01 23579.09 13892.13 16975.51 16295.06 16590.41 226
PS-MVSNAJss88.31 7487.90 8089.56 6093.31 7577.96 9687.94 9991.97 11570.73 21094.19 2296.67 1176.94 16294.57 8283.07 7496.28 11696.15 33
nrg03087.85 8288.49 7485.91 12590.07 17269.73 17787.86 10094.20 2874.04 16292.70 5494.66 5485.88 6591.50 18479.72 11297.32 8196.50 31
SixPastTwentyTwo87.20 8887.45 8786.45 11192.52 9569.19 18687.84 10188.05 20581.66 7194.64 1496.53 1465.94 24694.75 7483.02 7696.83 9595.41 51
Effi-MVS+-dtu85.82 11183.38 15893.14 387.13 22691.15 287.70 10288.42 19674.57 15783.56 22685.65 27278.49 14394.21 9472.04 19892.88 21694.05 100
canonicalmvs85.50 11486.14 10883.58 17487.97 20867.13 19987.55 10394.32 2273.44 17088.47 13487.54 24486.45 5891.06 20075.76 16193.76 19592.54 161
DP-MVS88.60 7289.01 6687.36 9891.30 14077.50 10287.55 10392.97 9087.95 2289.62 11292.87 12384.56 7193.89 10977.65 13896.62 10190.70 217
OMC-MVS88.19 7587.52 8690.19 4991.94 11681.68 6387.49 10593.17 7976.02 13688.64 13091.22 16884.24 7693.37 13477.97 13697.03 8895.52 49
Vis-MVSNetpermissive86.86 9286.58 10087.72 9392.09 11077.43 10687.35 10692.09 11178.87 10684.27 21694.05 8778.35 14593.65 11780.54 10591.58 24492.08 182
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
ETH3D cwj APD-0.1687.83 8387.62 8588.47 8191.21 14378.20 9187.26 10794.54 2072.05 19688.89 12492.31 14283.86 7894.24 9281.59 9296.87 9292.97 145
DeepC-MVS_fast80.27 886.23 10385.65 11987.96 9291.30 14076.92 11387.19 10891.99 11470.56 21184.96 19790.69 18880.01 13395.14 6278.37 12595.78 14291.82 192
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
EPNet80.37 20778.41 22886.23 11776.75 34273.28 13787.18 10977.45 29976.24 13268.14 34288.93 22465.41 24893.85 11069.47 21896.12 12591.55 200
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
plane_prior76.42 12187.15 11075.94 14095.03 166
TAPA-MVS77.73 1285.71 11384.83 13288.37 8588.78 19479.72 7687.15 11093.50 6269.17 22485.80 18689.56 21280.76 12492.13 16973.21 19195.51 14893.25 133
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
tttt051781.07 19379.58 21485.52 13488.99 19066.45 20687.03 11275.51 31273.76 16688.32 13990.20 20037.96 36394.16 10179.36 11995.13 16195.93 42
UGNet82.78 17081.64 18486.21 12086.20 24876.24 12486.86 11385.68 24077.07 12573.76 32292.82 12469.64 22691.82 18069.04 22593.69 19890.56 222
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
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11493.91 4580.07 9086.75 16493.26 11193.64 290.93 20384.60 6090.75 26193.97 102
GBi-Net82.02 18282.07 17881.85 20786.38 23961.05 25886.83 11588.27 20272.43 18686.00 18195.64 3163.78 25590.68 21365.95 24693.34 20393.82 110
test182.02 18282.07 17881.85 20786.38 23961.05 25886.83 11588.27 20272.43 18686.00 18195.64 3163.78 25590.68 21365.95 24693.34 20393.82 110
FMVSNet184.55 13385.45 12281.85 20790.27 16761.05 25886.83 11588.27 20278.57 11189.66 11195.64 3175.43 17390.68 21369.09 22495.33 15393.82 110
OPM-MVS89.80 5189.97 5289.27 6494.76 4179.86 7586.76 11892.78 9778.78 10792.51 5693.64 10788.13 3693.84 11284.83 5897.55 7094.10 99
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
MSLP-MVS++85.00 12686.03 11081.90 20591.84 12271.56 16786.75 11993.02 8875.95 13987.12 15389.39 21477.98 14789.40 24777.46 14194.78 17484.75 295
114514_t83.10 16982.54 17384.77 14692.90 8469.10 18886.65 12090.62 15354.66 32681.46 25790.81 18576.98 16194.38 8872.62 19496.18 12190.82 214
v1086.54 9787.10 9184.84 14488.16 20763.28 23086.64 12192.20 10975.42 14892.81 5194.50 6174.05 19094.06 10383.88 6696.28 11697.17 19
NCCC87.36 8686.87 9788.83 7092.32 10278.84 8786.58 12291.09 14078.77 10884.85 20190.89 18280.85 12395.29 5581.14 9595.32 15492.34 170
Effi-MVS+83.90 15484.01 15183.57 17587.22 22465.61 21186.55 12392.40 10478.64 11081.34 26084.18 29883.65 8292.93 15074.22 17287.87 29392.17 181
v886.22 10486.83 9884.36 15587.82 21162.35 24586.42 12491.33 13376.78 12892.73 5394.48 6373.41 19993.72 11683.10 7395.41 15097.01 22
RRT_MVS83.25 16581.08 19389.74 5480.55 31679.32 8186.41 12586.69 22872.33 19187.00 15991.08 17344.98 34795.55 4184.47 6296.24 12094.36 88
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7393.75 6477.44 10486.31 12695.27 1270.80 20892.28 6093.80 10186.89 5194.64 7885.52 4997.51 7594.30 90
save fliter93.75 6477.44 10486.31 12689.72 17770.80 208
AdaColmapbinary83.66 15783.69 15683.57 17590.05 17372.26 15586.29 12890.00 17478.19 11581.65 25487.16 25283.40 8594.24 9261.69 27894.76 17784.21 300
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 12993.60 6080.16 8889.13 12393.44 10983.82 7990.98 20183.86 6795.30 15793.60 123
ETH3 D test640085.09 12284.87 13185.75 13090.80 15669.34 18185.90 13093.31 7065.43 26286.11 17989.95 20580.92 12294.86 7175.90 15995.57 14793.05 139
PLCcopyleft73.85 1682.09 18180.31 20287.45 9790.86 15580.29 7285.88 13190.65 15168.17 23676.32 30286.33 26273.12 20492.61 15861.40 28290.02 26989.44 238
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
GeoE85.45 11685.81 11484.37 15390.08 17067.07 20085.86 13291.39 13272.33 19187.59 14790.25 19984.85 6992.37 16378.00 13491.94 23893.66 118
FC-MVSNet-test85.93 11087.05 9382.58 19692.25 10456.44 30385.75 13393.09 8277.33 12291.94 6894.65 5574.78 18293.41 13375.11 16898.58 1497.88 7
MAR-MVS80.24 21178.74 22384.73 14786.87 23678.18 9285.75 13387.81 21065.67 26177.84 29278.50 34573.79 19390.53 21761.59 28190.87 25885.49 288
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
EU-MVSNet75.12 26374.43 26577.18 27883.11 29059.48 27685.71 13582.43 27139.76 36985.64 18888.76 22544.71 34987.88 26473.86 17885.88 31084.16 301
LF4IMVS82.75 17181.93 18185.19 13882.08 29580.15 7385.53 13688.76 19268.01 23785.58 18987.75 24071.80 21886.85 27774.02 17593.87 19488.58 254
K. test v385.14 12084.73 13386.37 11291.13 14869.63 17985.45 13776.68 30484.06 4292.44 5896.99 862.03 26594.65 7780.58 10493.24 20694.83 73
VDDNet84.35 13885.39 12381.25 21695.13 3359.32 27785.42 13881.11 27986.41 2987.41 15096.21 1973.61 19490.61 21666.33 24496.85 9393.81 113
CNVR-MVS87.81 8487.68 8388.21 8892.87 8577.30 10985.25 13991.23 13677.31 12387.07 15791.47 16482.94 8994.71 7584.67 5996.27 11892.62 158
LFMVS80.15 21480.56 19878.89 25089.19 18655.93 30585.22 14073.78 32482.96 5684.28 21592.72 12857.38 29590.07 23463.80 26295.75 14390.68 218
FIs85.35 11786.27 10582.60 19591.86 11957.31 29685.10 14193.05 8475.83 14191.02 8293.97 9173.57 19592.91 15273.97 17698.02 4097.58 12
mvs-test184.55 13382.12 17791.84 2087.13 22689.54 485.05 14288.42 19674.57 15780.60 26682.98 30878.49 14393.98 10672.04 19889.77 27092.00 185
HQP-NCC91.19 14484.77 14373.30 17480.55 269
ACMP_Plane91.19 14484.77 14373.30 17480.55 269
HQP-MVS84.61 13184.06 15086.27 11691.19 14470.66 17184.77 14392.68 9973.30 17480.55 26990.17 20372.10 21394.61 8077.30 14494.47 18293.56 125
ab-mvs79.67 21780.56 19876.99 27988.48 19956.93 29984.70 14686.06 23568.95 22880.78 26593.08 11475.30 17584.62 30456.78 30490.90 25789.43 239
pmmvs686.52 9888.06 7981.90 20592.22 10662.28 24684.66 14789.15 18883.54 4989.85 10497.32 488.08 3886.80 27870.43 21297.30 8296.62 28
test_prior478.97 8584.59 148
Anonymous2024052986.20 10587.13 9083.42 17790.19 16864.55 21984.55 14990.71 14985.85 3189.94 10295.24 4082.13 10290.40 22069.19 22396.40 11295.31 55
baseline85.20 11985.93 11183.02 18586.30 24462.37 24484.55 14993.96 4374.48 15987.12 15392.03 14882.30 9891.94 17478.39 12494.21 18794.74 74
alignmvs83.94 15383.98 15283.80 16787.80 21267.88 19684.54 15191.42 13173.27 17788.41 13687.96 23672.33 21290.83 20876.02 15894.11 18992.69 155
CNLPA83.55 16083.10 16484.90 14389.34 18283.87 4884.54 15188.77 19179.09 10283.54 22788.66 22874.87 17981.73 32066.84 24192.29 22889.11 245
ETV-MVS84.31 13983.91 15485.52 13488.58 19770.40 17384.50 15393.37 6478.76 10984.07 21978.72 34480.39 12995.13 6373.82 17992.98 21491.04 207
TranMVSNet+NR-MVSNet87.86 8188.76 7385.18 13994.02 5864.13 22284.38 15491.29 13484.88 3792.06 6493.84 10086.45 5893.73 11573.22 18698.66 1197.69 9
PVSNet_Blended_VisFu81.55 18880.49 20084.70 14991.58 13073.24 13984.21 15591.67 12462.86 27780.94 26287.16 25267.27 23992.87 15369.82 21688.94 28087.99 260
GG-mvs-BLEND67.16 33273.36 36246.54 36084.15 15655.04 37358.64 36961.95 37029.93 37483.87 31138.71 36776.92 35671.07 359
iter_conf0578.81 22477.35 23783.21 18182.98 29260.75 26584.09 15788.34 19963.12 27584.25 21889.48 21331.41 37194.51 8776.64 15095.83 13794.38 87
Regformer-385.06 12384.67 13886.22 11884.27 27273.43 13684.07 15885.26 24680.77 8288.62 13185.48 27580.56 12890.39 22181.99 8791.04 25094.85 71
Regformer-486.41 9985.71 11788.52 7984.27 27277.57 10184.07 15888.00 20782.82 5889.84 10585.48 27582.06 10492.77 15483.83 6891.04 25095.22 61
test250674.12 27473.39 27476.28 29091.85 12044.20 36584.06 16048.20 37772.30 19381.90 24794.20 7927.22 37889.77 23964.81 25696.02 12794.87 67
test_040288.65 7189.58 5985.88 12792.55 9372.22 15684.01 16189.44 18488.63 1894.38 1895.77 2686.38 6093.59 12379.84 11095.21 15891.82 192
h-mvs3384.25 14282.76 16788.72 7591.82 12482.60 5884.00 16284.98 25571.27 20286.70 16590.55 19363.04 26193.92 10878.26 12994.20 18889.63 235
TEST992.34 10079.70 7783.94 16390.32 16065.41 26684.49 20690.97 17882.03 10693.63 119
train_agg85.98 10985.28 12488.07 9092.34 10079.70 7783.94 16390.32 16065.79 25684.49 20690.97 17881.93 10893.63 11981.21 9496.54 10590.88 212
FMVSNet281.31 19081.61 18580.41 23286.38 23958.75 28883.93 16586.58 23072.43 18687.65 14692.98 11763.78 25590.22 22566.86 23993.92 19392.27 176
EI-MVSNet-Vis-set85.12 12184.53 14186.88 10384.01 27972.76 14183.91 16685.18 24880.44 8388.75 12885.49 27480.08 13291.92 17582.02 8690.85 25995.97 39
CDPH-MVS86.17 10685.54 12088.05 9192.25 10475.45 12683.85 16792.01 11365.91 25586.19 17691.75 15883.77 8194.98 6877.43 14396.71 9993.73 115
test_892.09 11078.87 8683.82 16890.31 16265.79 25684.36 20990.96 18081.93 10893.44 131
EI-MVSNet-UG-set85.04 12484.44 14386.85 10483.87 28272.52 15083.82 16885.15 24980.27 8788.75 12885.45 27879.95 13491.90 17681.92 8990.80 26096.13 34
UniMVSNet (Re)86.87 9186.98 9586.55 10993.11 8068.48 19083.80 17092.87 9280.37 8489.61 11491.81 15677.72 15094.18 9675.00 16998.53 1696.99 23
CANet83.79 15582.85 16686.63 10786.17 24972.21 15783.76 17191.43 12977.24 12474.39 31987.45 24675.36 17495.42 5177.03 14792.83 21792.25 178
TSAR-MVS + GP.83.95 15282.69 16987.72 9389.27 18481.45 6583.72 17281.58 27874.73 15585.66 18786.06 26772.56 21192.69 15675.44 16495.21 15889.01 251
agg_prior185.72 11285.20 12587.28 9991.58 13077.69 9983.69 17390.30 16366.29 25384.32 21091.07 17582.13 10293.18 13981.02 9696.36 11390.98 208
ECVR-MVScopyleft78.44 23078.63 22477.88 27091.85 12048.95 34983.68 17469.91 34772.30 19384.26 21794.20 7951.89 31489.82 23863.58 26396.02 12794.87 67
thisisatest053079.07 21977.33 23884.26 15887.13 22664.58 21783.66 17575.95 30768.86 22985.22 19487.36 24838.10 36193.57 12675.47 16394.28 18694.62 75
gg-mvs-nofinetune68.96 31069.11 30668.52 32976.12 34945.32 36183.59 17655.88 37286.68 2664.62 35997.01 730.36 37383.97 31044.78 35782.94 33276.26 352
Regformer-186.00 10785.50 12187.49 9684.18 27676.90 11483.52 17787.94 20982.18 6589.19 12185.07 28782.28 10091.89 17782.40 8392.72 22193.69 117
Regformer-286.74 9586.08 10988.73 7484.18 27679.20 8283.52 17789.33 18683.33 5189.92 10385.07 28783.23 8793.16 14183.39 7092.72 22193.83 108
MCST-MVS84.36 13783.93 15385.63 13291.59 12771.58 16683.52 17792.13 11061.82 28483.96 22089.75 21079.93 13593.46 13078.33 12794.34 18591.87 190
EI-MVSNet82.61 17282.42 17583.20 18283.25 28663.66 22583.50 18085.07 25076.06 13486.55 16985.10 28473.41 19990.25 22278.15 13390.67 26395.68 45
CVMVSNet72.62 28571.41 29476.28 29083.25 28660.34 26883.50 18079.02 29337.77 37076.33 30185.10 28449.60 32287.41 26970.54 21177.54 35581.08 342
DeepPCF-MVS81.24 587.28 8786.21 10790.49 4391.48 13784.90 3983.41 18292.38 10670.25 21689.35 12090.68 18982.85 9094.57 8279.55 11495.95 13192.00 185
test_prior386.31 10186.31 10486.32 11390.59 16171.99 15983.37 18392.85 9375.43 14684.58 20491.57 16081.92 11094.17 9879.54 11596.97 8992.80 148
test_prior283.37 18375.43 14684.58 20491.57 16081.92 11079.54 11596.97 89
Vis-MVSNet (Re-imp)77.82 23677.79 23377.92 26988.82 19351.29 33983.28 18571.97 33774.04 16282.23 24289.78 20957.38 29589.41 24657.22 30395.41 15093.05 139
CANet_DTU77.81 23777.05 24080.09 23781.37 30359.90 27283.26 18688.29 20169.16 22567.83 34583.72 30160.93 26889.47 24369.22 22289.70 27190.88 212
VDD-MVS84.23 14484.58 14083.20 18291.17 14765.16 21483.25 18784.97 25679.79 9187.18 15294.27 7374.77 18390.89 20669.24 22096.54 10593.55 127
IterMVS-LS84.73 12984.98 12983.96 16587.35 22163.66 22583.25 18789.88 17676.06 13489.62 11292.37 14173.40 20192.52 15978.16 13194.77 17695.69 44
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS Recon84.05 14983.22 16086.52 11091.73 12575.27 12783.23 18992.40 10472.04 19782.04 24588.33 23177.91 14993.95 10766.17 24595.12 16390.34 227
EIA-MVS82.19 17981.23 19185.10 14187.95 20969.17 18783.22 19093.33 6770.42 21278.58 28779.77 34177.29 15594.20 9571.51 20188.96 27991.93 189
DU-MVS86.80 9486.99 9486.21 12093.24 7767.02 20183.16 19192.21 10881.73 7090.92 8391.97 14977.20 15693.99 10474.16 17398.35 2297.61 10
Fast-Effi-MVS+-dtu82.54 17481.41 18885.90 12685.60 25376.53 12083.07 19289.62 18173.02 18179.11 28483.51 30380.74 12590.24 22468.76 22789.29 27490.94 210
casdiffmvs85.21 11885.85 11383.31 17986.17 24962.77 23783.03 19393.93 4474.69 15688.21 14092.68 13082.29 9991.89 17777.87 13793.75 19795.27 57
v119284.57 13284.69 13784.21 15987.75 21362.88 23583.02 19491.43 12969.08 22689.98 10190.89 18272.70 20993.62 12282.41 8294.97 16896.13 34
v114484.54 13584.72 13584.00 16387.67 21562.55 24182.97 19590.93 14570.32 21589.80 10690.99 17773.50 19693.48 12981.69 9194.65 17995.97 39
v14419284.24 14384.41 14483.71 17187.59 21861.57 25182.95 19691.03 14167.82 24389.80 10690.49 19473.28 20293.51 12881.88 9094.89 17196.04 38
v192192084.23 14484.37 14683.79 16887.64 21761.71 25082.91 19791.20 13767.94 24090.06 9690.34 19672.04 21693.59 12382.32 8494.91 16996.07 36
dcpmvs_284.23 14485.14 12681.50 21388.61 19661.98 24982.90 19893.11 8068.66 23292.77 5292.39 13778.50 14287.63 26776.99 14892.30 22694.90 65
v124084.30 14084.51 14283.65 17287.65 21661.26 25582.85 19991.54 12667.94 24090.68 8890.65 19171.71 21993.64 11882.84 7894.78 17496.07 36
无先验82.81 20085.62 24158.09 30891.41 19067.95 23684.48 296
MIMVSNet183.63 15884.59 13980.74 22694.06 5762.77 23782.72 20184.53 25977.57 12190.34 9295.92 2576.88 16885.83 29361.88 27697.42 7893.62 122
v2v48284.09 14784.24 14883.62 17387.13 22661.40 25282.71 20289.71 17872.19 19589.55 11691.41 16570.70 22493.20 13881.02 9693.76 19596.25 32
test111178.53 22978.85 22077.56 27492.22 10647.49 35582.61 20369.24 34972.43 18685.28 19394.20 7951.91 31390.07 23465.36 25396.45 11095.11 62
hse-mvs283.47 16281.81 18288.47 8191.03 15082.27 5982.61 20383.69 26171.27 20286.70 16586.05 26863.04 26192.41 16178.26 12993.62 20190.71 216
CR-MVSNet74.00 27573.04 27876.85 28479.58 32262.64 23982.58 20576.90 30150.50 35275.72 30992.38 13848.07 32584.07 30868.72 22982.91 33383.85 305
RPMNet78.88 22278.28 22980.68 22979.58 32262.64 23982.58 20594.16 3174.80 15475.72 30992.59 13148.69 32395.56 3873.48 18382.91 33383.85 305
UniMVSNet_NR-MVSNet86.84 9387.06 9286.17 12292.86 8767.02 20182.55 20791.56 12583.08 5590.92 8391.82 15578.25 14693.99 10474.16 17398.35 2297.49 13
MVS_Test82.47 17583.22 16080.22 23582.62 29457.75 29482.54 20891.96 11671.16 20682.89 23492.52 13677.41 15490.50 21880.04 10887.84 29492.40 167
AUN-MVS81.18 19278.78 22188.39 8490.93 15282.14 6082.51 20983.67 26264.69 27080.29 27285.91 27151.07 31792.38 16276.29 15593.63 20090.65 220
Anonymous2024052180.18 21381.25 18976.95 28083.15 28960.84 26382.46 21085.99 23768.76 23086.78 16293.73 10659.13 28377.44 33373.71 18097.55 7092.56 159
pm-mvs183.69 15684.95 13079.91 23890.04 17459.66 27482.43 21187.44 21275.52 14587.85 14495.26 3981.25 11985.65 29568.74 22896.04 12694.42 85
Patchmtry76.56 25177.46 23473.83 30379.37 32746.60 35982.41 21276.90 30173.81 16585.56 19092.38 13848.07 32583.98 30963.36 26695.31 15690.92 211
EPNet_dtu72.87 28471.33 29577.49 27677.72 33660.55 26782.35 21375.79 30866.49 25258.39 37081.06 32853.68 31085.98 29053.55 32492.97 21585.95 282
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TinyColmap81.25 19182.34 17677.99 26885.33 25760.68 26682.32 21488.33 20071.26 20486.97 16092.22 14777.10 15986.98 27562.37 27195.17 16086.31 279
TransMVSNet (Re)84.02 15085.74 11678.85 25191.00 15155.20 31382.29 21587.26 21579.65 9488.38 13795.52 3483.00 8886.88 27667.97 23596.60 10394.45 84
Baseline_NR-MVSNet84.00 15185.90 11278.29 26391.47 13853.44 32282.29 21587.00 22779.06 10389.55 11695.72 2977.20 15686.14 28972.30 19798.51 1795.28 56
MG-MVS80.32 20980.94 19578.47 25988.18 20552.62 32982.29 21585.01 25472.01 19879.24 28392.54 13569.36 22893.36 13570.65 20989.19 27789.45 237
原ACMM282.26 218
NR-MVSNet86.00 10786.22 10685.34 13793.24 7764.56 21882.21 21990.46 15580.99 7888.42 13591.97 14977.56 15293.85 11072.46 19698.65 1297.61 10
PAPR78.84 22378.10 23181.07 22085.17 25860.22 26982.21 21990.57 15462.51 27975.32 31484.61 29474.99 17892.30 16659.48 29388.04 29190.68 218
EG-PatchMatch MVS84.08 14884.11 14983.98 16492.22 10672.61 14782.20 22187.02 22472.63 18588.86 12591.02 17678.52 14191.11 19873.41 18491.09 24888.21 256
HY-MVS64.64 1873.03 28272.47 28674.71 29983.36 28554.19 31682.14 22281.96 27456.76 31969.57 33986.21 26660.03 27584.83 30349.58 34282.65 33585.11 291
FMVSNet378.80 22578.55 22579.57 24482.89 29356.89 30181.76 22385.77 23969.04 22786.00 18190.44 19551.75 31590.09 23365.95 24693.34 20391.72 194
旧先验281.73 22456.88 31886.54 17484.90 30172.81 193
新几何281.72 225
131473.22 28072.56 28575.20 29680.41 31857.84 29281.64 22685.36 24351.68 34473.10 32576.65 35461.45 26785.19 29863.54 26479.21 34982.59 321
112180.86 19679.81 21384.02 16293.93 6078.70 8881.64 22680.18 28655.43 32383.67 22391.15 17171.29 22191.41 19067.95 23693.06 21181.96 330
MVS73.21 28172.59 28375.06 29880.97 30760.81 26481.64 22685.92 23846.03 36071.68 33177.54 34868.47 23389.77 23955.70 31185.39 31274.60 355
v14882.31 17682.48 17481.81 21085.59 25459.66 27481.47 22986.02 23672.85 18288.05 14190.65 19170.73 22390.91 20575.15 16791.79 23994.87 67
MVS_030478.17 23277.23 23980.99 22484.13 27869.07 18981.39 23080.81 28276.28 13167.53 34789.11 22162.87 26386.77 27960.90 28692.01 23787.13 271
V4283.47 16283.37 15983.75 17083.16 28863.33 22981.31 23190.23 16869.51 22290.91 8590.81 18574.16 18892.29 16780.06 10790.22 26795.62 47
PM-MVS80.20 21279.00 21983.78 16988.17 20686.66 1881.31 23166.81 35769.64 22188.33 13890.19 20164.58 24983.63 31271.99 20090.03 26881.06 344
VPA-MVSNet83.47 16284.73 13379.69 24290.29 16657.52 29581.30 23388.69 19376.29 13087.58 14894.44 6480.60 12787.20 27166.60 24396.82 9694.34 89
CMPMVSbinary59.41 2075.12 26373.57 27179.77 23975.84 35067.22 19881.21 23482.18 27250.78 34976.50 29987.66 24255.20 30782.99 31462.17 27590.64 26689.09 248
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft70.19 1777.77 23877.46 23478.71 25484.39 26961.15 25681.18 23582.52 26962.45 28183.34 22887.37 24766.20 24488.66 25764.69 25885.02 31786.32 278
thres100view90075.45 25975.05 25976.66 28687.27 22251.88 33481.07 23673.26 32875.68 14383.25 22986.37 26145.54 33888.80 25251.98 33390.99 25289.31 241
MVS_111021_LR84.28 14183.76 15585.83 12989.23 18583.07 5380.99 23783.56 26372.71 18486.07 18089.07 22281.75 11486.19 28877.11 14693.36 20288.24 255
wuyk23d75.13 26279.30 21762.63 34275.56 35175.18 12880.89 23873.10 33075.06 15294.76 1295.32 3687.73 4252.85 37134.16 37097.11 8659.85 367
pmmvs-eth3d78.42 23177.04 24182.57 19887.44 22074.41 13180.86 23979.67 28955.68 32184.69 20390.31 19860.91 26985.42 29662.20 27391.59 24387.88 263
tfpnnormal81.79 18682.95 16578.31 26188.93 19155.40 30980.83 24082.85 26876.81 12785.90 18594.14 8474.58 18686.51 28366.82 24295.68 14693.01 141
PCF-MVS74.62 1582.15 18080.92 19685.84 12889.43 18072.30 15480.53 24191.82 12057.36 31587.81 14589.92 20777.67 15193.63 11958.69 29595.08 16491.58 199
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
thres600view775.97 25675.35 25877.85 27287.01 23251.84 33580.45 24273.26 32875.20 15083.10 23286.31 26445.54 33889.05 24855.03 31892.24 23092.66 156
KD-MVS_self_test81.93 18583.14 16378.30 26284.75 26352.75 32680.37 24389.42 18570.24 21790.26 9493.39 11074.55 18786.77 27968.61 23096.64 10095.38 52
BH-untuned80.96 19580.99 19480.84 22588.55 19868.23 19180.33 24488.46 19572.79 18386.55 16986.76 25774.72 18491.77 18161.79 27788.99 27882.52 324
MVP-Stereo75.81 25873.51 27382.71 19389.35 18173.62 13480.06 24585.20 24760.30 29873.96 32187.94 23757.89 29389.45 24552.02 33274.87 35985.06 292
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
LCM-MVSNet-Re83.48 16185.06 12778.75 25385.94 25255.75 30880.05 24694.27 2376.47 12996.09 594.54 6083.31 8689.75 24159.95 29094.89 17190.75 215
USDC76.63 24976.73 24576.34 28983.46 28457.20 29880.02 24788.04 20652.14 34183.65 22491.25 16763.24 25886.65 28254.66 32094.11 18985.17 290
ANet_high83.17 16885.68 11875.65 29481.24 30445.26 36279.94 24892.91 9183.83 4391.33 7796.88 1080.25 13185.92 29168.89 22695.89 13595.76 43
baseline173.26 27973.54 27272.43 31284.92 26047.79 35479.89 24974.00 32065.93 25478.81 28686.28 26556.36 30081.63 32156.63 30579.04 35087.87 264
tpm268.45 31166.83 31773.30 30578.93 33248.50 35079.76 25071.76 33947.50 35669.92 33883.60 30242.07 35588.40 25948.44 34779.51 34583.01 319
tpmvs70.16 30169.56 30571.96 31474.71 35948.13 35179.63 25175.45 31365.02 26870.26 33681.88 32145.34 34385.68 29458.34 29775.39 35882.08 329
testdata179.62 25273.95 164
xiu_mvs_v1_base_debu80.84 19780.14 20882.93 18888.31 20271.73 16279.53 25387.17 21665.43 26279.59 27782.73 31576.94 16290.14 23073.22 18688.33 28586.90 274
xiu_mvs_v1_base80.84 19780.14 20882.93 18888.31 20271.73 16279.53 25387.17 21665.43 26279.59 27782.73 31576.94 16290.14 23073.22 18688.33 28586.90 274
xiu_mvs_v1_base_debi80.84 19780.14 20882.93 18888.31 20271.73 16279.53 25387.17 21665.43 26279.59 27782.73 31576.94 16290.14 23073.22 18688.33 28586.90 274
PVSNet_BlendedMVS78.80 22577.84 23281.65 21284.43 26663.41 22779.49 25690.44 15661.70 28775.43 31287.07 25569.11 23091.44 18760.68 28792.24 23090.11 232
test22293.31 7576.54 11779.38 25777.79 29752.59 33682.36 24090.84 18466.83 24291.69 24181.25 339
PatchmatchNetpermissive69.71 30768.83 30872.33 31377.66 33753.60 32079.29 25869.99 34657.66 31272.53 32782.93 31146.45 32980.08 32860.91 28572.09 36283.31 315
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CostFormer69.98 30568.68 31073.87 30277.14 33950.72 34479.26 25974.51 31751.94 34370.97 33584.75 29245.16 34687.49 26855.16 31779.23 34883.40 312
tfpn200view974.86 26774.23 26676.74 28586.24 24652.12 33179.24 26073.87 32273.34 17281.82 25084.60 29546.02 33288.80 25251.98 33390.99 25289.31 241
thres40075.14 26174.23 26677.86 27186.24 24652.12 33179.24 26073.87 32273.34 17281.82 25084.60 29546.02 33288.80 25251.98 33390.99 25292.66 156
MVS_111021_HR84.63 13084.34 14785.49 13690.18 16975.86 12579.23 26287.13 21973.35 17185.56 19089.34 21583.60 8390.50 21876.64 15094.05 19190.09 233
TAMVS78.08 23476.36 24783.23 18090.62 16072.87 14079.08 26380.01 28861.72 28681.35 25986.92 25663.96 25488.78 25550.61 33793.01 21388.04 259
MIMVSNet71.09 29671.59 29169.57 32287.23 22350.07 34778.91 26471.83 33860.20 30071.26 33291.76 15755.08 30876.09 33741.06 36387.02 30182.54 323
SCA73.32 27872.57 28475.58 29581.62 29955.86 30678.89 26571.37 34261.73 28574.93 31783.42 30660.46 27187.01 27258.11 30082.63 33783.88 302
DPM-MVS80.10 21579.18 21882.88 19190.71 15969.74 17678.87 26690.84 14660.29 29975.64 31185.92 27067.28 23893.11 14471.24 20291.79 23985.77 285
test_post178.85 2673.13 37545.19 34580.13 32758.11 300
mvs_anonymous78.13 23378.76 22276.23 29279.24 32850.31 34678.69 26884.82 25761.60 28883.09 23392.82 12473.89 19287.01 27268.33 23386.41 30591.37 202
WR-MVS83.56 15984.40 14581.06 22193.43 7254.88 31478.67 26985.02 25381.24 7590.74 8791.56 16272.85 20691.08 19968.00 23498.04 3797.23 17
c3_l81.64 18781.59 18681.79 21180.86 31059.15 28178.61 27090.18 17068.36 23387.20 15187.11 25469.39 22791.62 18278.16 13194.43 18494.60 76
test_yl78.71 22778.51 22679.32 24784.32 27058.84 28578.38 27185.33 24475.99 13782.49 23786.57 25858.01 28990.02 23662.74 26992.73 21989.10 246
DCV-MVSNet78.71 22778.51 22679.32 24784.32 27058.84 28578.38 27185.33 24475.99 13782.49 23786.57 25858.01 28990.02 23662.74 26992.73 21989.10 246
Fast-Effi-MVS+81.04 19480.57 19782.46 20087.50 21963.22 23178.37 27389.63 18068.01 23781.87 24882.08 32082.31 9792.65 15767.10 23888.30 28991.51 201
tpmrst66.28 32166.69 31965.05 33972.82 36739.33 37078.20 27470.69 34453.16 33467.88 34480.36 33548.18 32474.75 34258.13 29970.79 36481.08 342
tpm cat166.76 31865.21 32471.42 31577.09 34050.62 34578.01 27573.68 32644.89 36268.64 34079.00 34245.51 34082.42 31849.91 34070.15 36581.23 341
jason77.42 24075.75 25382.43 20187.10 23069.27 18277.99 27681.94 27551.47 34577.84 29285.07 28760.32 27389.00 24970.74 20889.27 27689.03 249
jason: jason.
CLD-MVS83.18 16782.64 17084.79 14589.05 18767.82 19777.93 27792.52 10268.33 23485.07 19681.54 32582.06 10492.96 14869.35 21997.91 5093.57 124
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CDS-MVSNet77.32 24175.40 25683.06 18489.00 18972.48 15177.90 27882.17 27360.81 29478.94 28583.49 30459.30 28188.76 25654.64 32192.37 22587.93 262
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
eth_miper_zixun_eth80.84 19780.22 20682.71 19381.41 30260.98 26177.81 27990.14 17167.31 24686.95 16187.24 25164.26 25192.31 16575.23 16691.61 24294.85 71
BH-RMVSNet80.53 20280.22 20681.49 21487.19 22566.21 20777.79 28086.23 23374.21 16183.69 22288.50 22973.25 20390.75 21063.18 26887.90 29287.52 266
miper_ehance_all_eth80.34 20880.04 21181.24 21879.82 32158.95 28377.66 28189.66 17965.75 25985.99 18485.11 28368.29 23491.42 18976.03 15792.03 23493.33 128
PatchT70.52 29972.76 28163.79 34179.38 32633.53 37577.63 28265.37 35973.61 16771.77 33092.79 12744.38 35075.65 34064.53 26185.37 31382.18 328
BH-w/o76.57 25076.07 25178.10 26686.88 23565.92 20977.63 28286.33 23165.69 26080.89 26379.95 33868.97 23290.74 21153.01 32985.25 31577.62 350
diffmvs80.40 20680.48 20180.17 23679.02 33160.04 27077.54 28490.28 16766.65 25182.40 23987.33 24973.50 19687.35 27077.98 13589.62 27293.13 136
MSDG80.06 21679.99 21280.25 23483.91 28168.04 19577.51 28589.19 18777.65 11981.94 24683.45 30576.37 17086.31 28663.31 26786.59 30386.41 277
MVSTER77.09 24375.70 25481.25 21675.27 35561.08 25777.49 28685.07 25060.78 29586.55 16988.68 22743.14 35390.25 22273.69 18190.67 26392.42 165
cl2278.97 22078.21 23081.24 21877.74 33559.01 28277.46 28787.13 21965.79 25684.32 21085.10 28458.96 28590.88 20775.36 16592.03 23493.84 107
TR-MVS76.77 24875.79 25279.72 24186.10 25165.79 21077.14 28883.02 26665.20 26781.40 25882.10 31966.30 24390.73 21255.57 31285.27 31482.65 320
ET-MVSNet_ETH3D75.28 26072.77 28082.81 19283.03 29168.11 19377.09 28976.51 30560.67 29777.60 29680.52 33338.04 36291.15 19770.78 20690.68 26289.17 244
cl____80.42 20580.23 20481.02 22279.99 31959.25 27877.07 29087.02 22467.37 24586.18 17889.21 21863.08 26090.16 22776.31 15495.80 14093.65 120
DIV-MVS_self_test80.43 20480.23 20481.02 22279.99 31959.25 27877.07 29087.02 22467.38 24486.19 17689.22 21763.09 25990.16 22776.32 15395.80 14093.66 118
lupinMVS76.37 25474.46 26482.09 20285.54 25569.26 18376.79 29280.77 28350.68 35176.23 30382.82 31358.69 28688.94 25069.85 21588.77 28188.07 257
FMVSNet572.10 29071.69 29073.32 30481.57 30053.02 32576.77 29378.37 29563.31 27376.37 30091.85 15236.68 36578.98 32947.87 34992.45 22487.95 261
VPNet80.25 21081.68 18375.94 29392.46 9747.98 35376.70 29481.67 27773.45 16984.87 20092.82 12474.66 18586.51 28361.66 27996.85 9393.33 128
Anonymous20240521180.51 20381.19 19278.49 25888.48 19957.26 29776.63 29582.49 27081.21 7684.30 21492.24 14667.99 23586.24 28762.22 27295.13 16191.98 188
PAPM71.77 29270.06 30276.92 28186.39 23853.97 31776.62 29686.62 22953.44 33263.97 36084.73 29357.79 29492.34 16439.65 36581.33 34184.45 297
DWT-MVSNet_test66.43 31964.37 32572.63 30974.86 35850.86 34376.52 29772.74 33154.06 32965.50 35268.30 36632.13 37084.84 30261.63 28073.59 36082.19 327
1112_ss74.82 26873.74 26978.04 26789.57 17760.04 27076.49 29887.09 22354.31 32773.66 32379.80 33960.25 27486.76 28158.37 29684.15 32687.32 269
DELS-MVS81.44 18981.25 18982.03 20384.27 27262.87 23676.47 29992.49 10370.97 20781.64 25583.83 30075.03 17792.70 15574.29 17192.22 23290.51 224
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
IterMVS76.91 24576.34 24878.64 25580.91 30864.03 22376.30 30079.03 29264.88 26983.11 23189.16 21959.90 27784.46 30568.61 23085.15 31687.42 267
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IterMVS-SCA-FT80.64 20179.41 21584.34 15683.93 28069.66 17876.28 30181.09 28072.43 18686.47 17590.19 20160.46 27193.15 14377.45 14286.39 30690.22 228
pmmvs474.92 26672.98 27980.73 22784.95 25971.71 16576.23 30277.59 29852.83 33577.73 29586.38 26056.35 30184.97 30057.72 30287.05 30085.51 287
baseline269.77 30666.89 31678.41 26079.51 32458.09 29076.23 30269.57 34857.50 31464.82 35877.45 35046.02 33288.44 25853.08 32677.83 35288.70 253
PatchMatch-RL74.48 27173.22 27678.27 26487.70 21485.26 3575.92 30470.09 34564.34 27176.09 30581.25 32765.87 24778.07 33253.86 32383.82 32771.48 358
JIA-IIPM69.41 30866.64 32077.70 27373.19 36371.24 16875.67 30565.56 35870.42 21265.18 35492.97 11933.64 36983.06 31353.52 32569.61 36878.79 349
patch_mono-278.89 22179.39 21677.41 27784.78 26268.11 19375.60 30683.11 26560.96 29379.36 28089.89 20875.18 17672.97 34473.32 18592.30 22691.15 205
tpm67.95 31268.08 31367.55 33178.74 33343.53 36775.60 30667.10 35654.92 32572.23 32888.10 23442.87 35475.97 33852.21 33180.95 34483.15 317
VNet79.31 21880.27 20376.44 28787.92 21053.95 31875.58 30884.35 26074.39 16082.23 24290.72 18772.84 20784.39 30660.38 28993.98 19290.97 209
xiu_mvs_v2_base77.19 24276.75 24478.52 25787.01 23261.30 25475.55 30987.12 22261.24 29074.45 31878.79 34377.20 15690.93 20364.62 26084.80 32383.32 314
miper_enhance_ethall77.83 23576.93 24280.51 23076.15 34858.01 29175.47 31088.82 19058.05 30983.59 22580.69 32964.41 25091.20 19473.16 19292.03 23492.33 171
PS-MVSNAJ77.04 24476.53 24678.56 25687.09 23161.40 25275.26 31187.13 21961.25 28974.38 32077.22 35276.94 16290.94 20264.63 25984.83 32283.35 313
PVSNet_Blended76.49 25275.40 25679.76 24084.43 26663.41 22775.14 31290.44 15657.36 31575.43 31278.30 34669.11 23091.44 18760.68 28787.70 29684.42 298
thres20072.34 28871.55 29374.70 30083.48 28351.60 33675.02 31373.71 32570.14 21878.56 28880.57 33246.20 33088.20 26246.99 35289.29 27484.32 299
EPMVS62.47 32662.63 33062.01 34370.63 37138.74 37174.76 31452.86 37453.91 33067.71 34680.01 33739.40 35966.60 36155.54 31368.81 36980.68 346
DSMNet-mixed60.98 33461.61 33359.09 35172.88 36645.05 36374.70 31546.61 37826.20 37265.34 35390.32 19755.46 30563.12 36841.72 36281.30 34269.09 362
FPMVS72.29 28972.00 28873.14 30688.63 19585.00 3774.65 31667.39 35171.94 19977.80 29487.66 24250.48 32075.83 33949.95 33979.51 34558.58 369
pmmvs570.73 29870.07 30172.72 30877.03 34152.73 32774.14 31775.65 31150.36 35372.17 32985.37 28155.42 30680.67 32552.86 33087.59 29784.77 294
MDTV_nov1_ep1368.29 31278.03 33443.87 36674.12 31872.22 33552.17 33967.02 34885.54 27345.36 34280.85 32455.73 30984.42 325
IB-MVS62.13 1971.64 29368.97 30779.66 24380.80 31262.26 24773.94 31976.90 30163.27 27468.63 34176.79 35333.83 36891.84 17959.28 29487.26 29884.88 293
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
cascas76.29 25574.81 26080.72 22884.47 26562.94 23473.89 32087.34 21355.94 32075.16 31676.53 35563.97 25391.16 19665.00 25490.97 25588.06 258
MS-PatchMatch70.93 29770.22 30073.06 30781.85 29862.50 24273.82 32177.90 29652.44 33875.92 30781.27 32655.67 30481.75 31955.37 31477.70 35374.94 354
D2MVS76.84 24675.67 25580.34 23380.48 31762.16 24873.50 32284.80 25857.61 31382.24 24187.54 24451.31 31687.65 26670.40 21393.19 20891.23 204
GA-MVS75.83 25774.61 26179.48 24681.87 29759.25 27873.42 32382.88 26768.68 23179.75 27681.80 32250.62 31989.46 24466.85 24085.64 31189.72 234
Test_1112_low_res73.90 27673.08 27776.35 28890.35 16555.95 30473.40 32486.17 23450.70 35073.14 32485.94 26958.31 28885.90 29256.51 30683.22 33087.20 270
CL-MVSNet_self_test76.81 24777.38 23675.12 29786.90 23451.34 33773.20 32580.63 28468.30 23581.80 25288.40 23066.92 24180.90 32355.35 31594.90 17093.12 137
thisisatest051573.00 28370.52 29780.46 23181.45 30159.90 27273.16 32674.31 31957.86 31076.08 30677.78 34737.60 36492.12 17165.00 25491.45 24589.35 240
HyFIR lowres test75.12 26372.66 28282.50 19991.44 13965.19 21372.47 32787.31 21446.79 35780.29 27284.30 29752.70 31292.10 17251.88 33686.73 30290.22 228
Patchmatch-RL test74.48 27173.68 27076.89 28384.83 26166.54 20572.29 32869.16 35057.70 31186.76 16386.33 26245.79 33782.59 31569.63 21790.65 26581.54 335
MVS-HIRNet61.16 33262.92 32955.87 35279.09 32935.34 37471.83 32957.98 37146.56 35859.05 36791.14 17249.95 32176.43 33638.74 36671.92 36355.84 370
XXY-MVS74.44 27376.19 24969.21 32384.61 26452.43 33071.70 33077.18 30060.73 29680.60 26690.96 18075.44 17269.35 35256.13 30888.33 28585.86 284
ppachtmachnet_test74.73 27074.00 26876.90 28280.71 31356.89 30171.53 33178.42 29458.24 30779.32 28282.92 31257.91 29284.26 30765.60 25191.36 24689.56 236
dp60.70 33560.29 33761.92 34572.04 36938.67 37270.83 33264.08 36051.28 34660.75 36377.28 35136.59 36671.58 34847.41 35062.34 37175.52 353
MDTV_nov1_ep13_2view27.60 37870.76 33346.47 35961.27 36245.20 34449.18 34383.75 307
pmmvs362.47 32660.02 33869.80 32071.58 37064.00 22470.52 33458.44 37039.77 36866.05 34975.84 35627.10 37972.28 34546.15 35484.77 32473.11 356
Anonymous2023120671.38 29571.88 28969.88 31986.31 24354.37 31570.39 33574.62 31552.57 33776.73 29888.76 22559.94 27672.06 34644.35 35893.23 20783.23 316
test20.0373.75 27774.59 26371.22 31681.11 30651.12 34170.15 33672.10 33670.42 21280.28 27491.50 16364.21 25274.72 34346.96 35394.58 18087.82 265
UnsupCasMVSNet_eth71.63 29472.30 28769.62 32176.47 34552.70 32870.03 33780.97 28159.18 30279.36 28088.21 23360.50 27069.12 35358.33 29877.62 35487.04 272
our_test_371.85 29171.59 29172.62 31080.71 31353.78 31969.72 33871.71 34158.80 30478.03 28980.51 33456.61 29978.84 33062.20 27386.04 30985.23 289
Patchmatch-test65.91 32267.38 31461.48 34775.51 35243.21 36868.84 33963.79 36162.48 28072.80 32683.42 30644.89 34859.52 36948.27 34886.45 30481.70 332
CHOSEN 1792x268872.45 28670.56 29678.13 26590.02 17563.08 23268.72 34083.16 26442.99 36675.92 30785.46 27757.22 29785.18 29949.87 34181.67 33886.14 280
testgi72.36 28774.61 26165.59 33680.56 31542.82 36968.29 34173.35 32766.87 24981.84 24989.93 20672.08 21566.92 36046.05 35592.54 22387.01 273
test-LLR67.21 31466.74 31868.63 32776.45 34655.21 31167.89 34267.14 35462.43 28265.08 35572.39 36043.41 35169.37 35061.00 28384.89 32081.31 337
TESTMET0.1,161.29 33160.32 33664.19 34072.06 36851.30 33867.89 34262.09 36245.27 36160.65 36469.01 36327.93 37764.74 36656.31 30781.65 34076.53 351
test-mter65.00 32463.79 32768.63 32776.45 34655.21 31167.89 34267.14 35450.98 34865.08 35572.39 36028.27 37669.37 35061.00 28384.89 32081.31 337
UnsupCasMVSNet_bld69.21 30969.68 30467.82 33079.42 32551.15 34067.82 34575.79 30854.15 32877.47 29785.36 28259.26 28270.64 34948.46 34679.35 34781.66 333
ADS-MVSNet265.87 32363.64 32872.55 31173.16 36456.92 30067.10 34674.81 31449.74 35466.04 35082.97 30946.71 32777.26 33442.29 36069.96 36683.46 310
ADS-MVSNet61.90 32862.19 33161.03 34873.16 36436.42 37367.10 34661.75 36449.74 35466.04 35082.97 30946.71 32763.21 36742.29 36069.96 36683.46 310
MDA-MVSNet-bldmvs77.47 23976.90 24379.16 24979.03 33064.59 21666.58 34875.67 31073.15 17988.86 12588.99 22366.94 24081.23 32264.71 25788.22 29091.64 197
WTY-MVS67.91 31368.35 31166.58 33480.82 31148.12 35265.96 34972.60 33253.67 33171.20 33381.68 32458.97 28469.06 35448.57 34581.67 33882.55 322
sss66.92 31567.26 31565.90 33577.23 33851.10 34264.79 35071.72 34052.12 34270.13 33780.18 33657.96 29165.36 36550.21 33881.01 34381.25 339
miper_lstm_enhance76.45 25376.10 25077.51 27576.72 34360.97 26264.69 35185.04 25263.98 27283.20 23088.22 23256.67 29878.79 33173.22 18693.12 20992.78 150
test0.0.03 164.66 32564.36 32665.57 33775.03 35746.89 35864.69 35161.58 36662.43 28271.18 33477.54 34843.41 35168.47 35540.75 36482.65 33581.35 336
PMMVS61.65 32960.38 33565.47 33865.40 37669.26 18363.97 35361.73 36536.80 37160.11 36568.43 36459.42 28066.35 36248.97 34478.57 35160.81 366
test1236.27 3468.08 3490.84 3591.11 3830.57 38362.90 3540.82 3830.54 3771.07 3792.75 3781.26 3820.30 3781.04 3761.26 3771.66 374
KD-MVS_2432*160066.87 31665.81 32170.04 31767.50 37247.49 35562.56 35579.16 29061.21 29177.98 29080.61 33025.29 38082.48 31653.02 32784.92 31880.16 347
miper_refine_blended66.87 31665.81 32170.04 31767.50 37247.49 35562.56 35579.16 29061.21 29177.98 29080.61 33025.29 38082.48 31653.02 32784.92 31880.16 347
PVSNet58.17 2166.41 32065.63 32368.75 32681.96 29649.88 34862.19 35772.51 33451.03 34768.04 34375.34 35850.84 31874.77 34145.82 35682.96 33181.60 334
new_pmnet55.69 33857.66 34049.76 35475.47 35330.59 37659.56 35851.45 37543.62 36562.49 36175.48 35740.96 35749.15 37337.39 36872.52 36169.55 361
new-patchmatchnet70.10 30273.37 27560.29 34981.23 30516.95 37959.54 35974.62 31562.93 27680.97 26187.93 23862.83 26471.90 34755.24 31695.01 16792.00 185
testmvs5.91 3477.65 3500.72 3601.20 3820.37 38459.14 3600.67 3840.49 3781.11 3782.76 3770.94 3830.24 3791.02 3771.47 3761.55 375
N_pmnet70.20 30068.80 30974.38 30180.91 30884.81 4059.12 36176.45 30655.06 32475.31 31582.36 31855.74 30354.82 37047.02 35187.24 29983.52 309
YYNet170.06 30370.44 29868.90 32473.76 36153.42 32358.99 36267.20 35358.42 30687.10 15585.39 28059.82 27867.32 35759.79 29183.50 32985.96 281
MDA-MVSNet_test_wron70.05 30470.44 29868.88 32573.84 36053.47 32158.93 36367.28 35258.43 30587.09 15685.40 27959.80 27967.25 35859.66 29283.54 32885.92 283
PVSNet_051.08 2256.10 33754.97 34259.48 35075.12 35653.28 32455.16 36461.89 36344.30 36359.16 36662.48 36954.22 30965.91 36435.40 36947.01 37259.25 368
E-PMN61.59 33061.62 33261.49 34666.81 37455.40 30953.77 36560.34 36766.80 25058.90 36865.50 36740.48 35866.12 36355.72 31086.25 30762.95 365
EMVS61.10 33360.81 33461.99 34465.96 37555.86 30653.10 36658.97 36967.06 24756.89 37163.33 36840.98 35667.03 35954.79 31986.18 30863.08 364
CHOSEN 280x42059.08 33656.52 34166.76 33376.51 34464.39 22049.62 36759.00 36843.86 36455.66 37268.41 36535.55 36768.21 35643.25 35976.78 35767.69 363
PMMVS255.64 33959.27 33944.74 35564.30 37712.32 38040.60 36849.79 37653.19 33365.06 35784.81 29153.60 31149.76 37232.68 37289.41 27372.15 357
tmp_tt20.25 34324.50 3467.49 3584.47 3818.70 38134.17 36925.16 3811.00 37632.43 37518.49 37339.37 3609.21 37721.64 37443.75 3734.57 373
MVEpermissive40.22 2351.82 34050.47 34355.87 35262.66 37851.91 33331.61 37039.28 37940.65 36750.76 37374.98 35956.24 30244.67 37433.94 37164.11 37071.04 360
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method30.46 34129.60 34433.06 35617.99 3803.84 38213.62 37173.92 3212.79 37418.29 37653.41 37128.53 37543.25 37522.56 37335.27 37452.11 371
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
cdsmvs_eth3d_5k20.81 34227.75 3450.00 3610.00 3840.00 3850.00 37285.44 2420.00 3790.00 38082.82 31381.46 1160.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas6.41 3458.55 3480.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37976.94 1620.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
ab-mvs-re6.65 3448.87 3470.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38079.80 3390.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
MSC_two_6792asdad88.81 7191.55 13377.99 9491.01 14296.05 887.45 1998.17 3392.40 167
PC_three_145258.96 30390.06 9691.33 16680.66 12693.03 14775.78 16095.94 13292.48 163
No_MVS88.81 7191.55 13377.99 9491.01 14296.05 887.45 1998.17 3392.40 167
test_one_060193.85 6373.27 13894.11 3786.57 2793.47 4094.64 5888.42 27
eth-test20.00 384
eth-test0.00 384
ZD-MVS92.22 10680.48 7091.85 11871.22 20590.38 9192.98 11786.06 6396.11 681.99 8796.75 98
IU-MVS94.18 5072.64 14490.82 14756.98 31789.67 11085.78 4897.92 4893.28 130
test_241102_TWO93.71 5383.77 4493.49 3894.27 7389.27 2295.84 2286.03 4597.82 5492.04 183
test_241102_ONE94.18 5072.65 14293.69 5483.62 4694.11 2393.78 10490.28 1595.50 48
test_0728_THIRD85.33 3293.75 3194.65 5587.44 4595.78 2787.41 2198.21 3092.98 142
GSMVS83.88 302
test_part293.86 6277.77 9892.84 49
sam_mvs146.11 33183.88 302
sam_mvs45.92 336
MTGPAbinary91.81 121
test_post3.10 37645.43 34177.22 335
patchmatchnet-post81.71 32345.93 33587.01 272
gm-plane-assit75.42 35444.97 36452.17 33972.36 36287.90 26354.10 322
test9_res80.83 10096.45 11090.57 221
agg_prior279.68 11396.16 12290.22 228
agg_prior91.58 13077.69 9990.30 16384.32 21093.18 139
TestCases89.68 5591.59 12783.40 5095.44 979.47 9588.00 14293.03 11582.66 9291.47 18570.81 20496.14 12394.16 95
test_prior86.32 11390.59 16171.99 15992.85 9394.17 9892.80 148
新几何182.95 18793.96 5978.56 9080.24 28555.45 32283.93 22191.08 17371.19 22288.33 26065.84 24993.07 21081.95 331
旧先验191.97 11371.77 16181.78 27691.84 15373.92 19193.65 19983.61 308
原ACMM184.60 15092.81 9074.01 13391.50 12762.59 27882.73 23690.67 19076.53 16994.25 9169.24 22095.69 14585.55 286
testdata286.43 28563.52 265
segment_acmp81.94 107
testdata79.54 24592.87 8572.34 15380.14 28759.91 30185.47 19291.75 15867.96 23685.24 29768.57 23292.18 23381.06 344
test1286.57 10890.74 15772.63 14690.69 15082.76 23579.20 13794.80 7395.32 15492.27 176
plane_prior793.45 7077.31 108
plane_prior692.61 9176.54 11774.84 180
plane_prior593.61 5895.22 5980.78 10195.83 13794.46 82
plane_prior492.95 120
plane_prior376.85 11577.79 11886.55 169
plane_prior192.83 89
n20.00 385
nn0.00 385
door-mid74.45 318
lessismore_v085.95 12491.10 14970.99 17070.91 34391.79 6994.42 6761.76 26692.93 15079.52 11793.03 21293.93 104
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 5091.18 595.52 4385.36 5198.73 795.23 59
test1191.46 128
door72.57 333
HQP5-MVS70.66 171
BP-MVS77.30 144
HQP4-MVS80.56 26894.61 8093.56 125
HQP3-MVS92.68 9994.47 182
HQP2-MVS72.10 213
NP-MVS91.95 11474.55 13090.17 203
ACMMP++_ref95.74 144
ACMMP++97.35 79
Test By Simon79.09 138
ITE_SJBPF90.11 5090.72 15884.97 3890.30 16381.56 7290.02 9891.20 17082.40 9690.81 20973.58 18294.66 17894.56 77
DeepMVS_CXcopyleft24.13 35732.95 37929.49 37721.63 38212.07 37337.95 37445.07 37230.84 37219.21 37617.94 37533.06 37523.69 372