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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
LCM-MVSNet95.70 196.40 193.61 298.67 185.39 3495.54 597.36 196.97 199.04 199.05 196.61 195.92 1485.07 5299.27 199.54 1
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
DTE-MVSNet89.98 4791.91 1584.21 15896.51 857.84 28988.93 8292.84 9391.92 396.16 396.23 1886.95 5095.99 1079.05 12098.57 1598.80 6
PS-CasMVS90.06 4391.92 1384.47 15196.56 758.83 28489.04 7992.74 9691.40 596.12 496.06 2287.23 4795.57 3679.42 11898.74 699.00 2
LCM-MVSNet-Re83.48 15985.06 12578.75 25285.94 25055.75 30580.05 24494.27 2376.47 12996.09 594.54 5983.31 8689.75 24159.95 28894.89 17190.75 212
PEN-MVS90.03 4591.88 1684.48 15096.57 658.88 28188.95 8093.19 7791.62 496.01 696.16 2087.02 4995.60 3578.69 12398.72 998.97 3
CP-MVSNet89.27 6190.91 4384.37 15296.34 958.61 28688.66 8992.06 11090.78 695.67 795.17 4081.80 11295.54 4179.00 12198.69 1098.95 4
LTVRE_ROB86.10 193.04 393.44 291.82 2393.73 6685.72 3396.79 195.51 888.86 1495.63 896.99 884.81 7093.16 13991.10 197.53 7396.58 29
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
WR-MVS_H89.91 5091.31 3185.71 13096.32 1062.39 24289.54 7193.31 7090.21 1095.57 995.66 2981.42 11695.90 1580.94 9898.80 398.84 5
OurMVSNet-221017-090.01 4689.74 5590.83 3793.16 7980.37 7191.91 3493.11 7981.10 7795.32 1097.24 572.94 20394.85 7185.07 5297.78 5597.26 15
anonymousdsp89.73 5388.88 7092.27 989.82 17586.67 1790.51 4890.20 16769.87 21995.06 1196.14 2184.28 7593.07 14487.68 1396.34 11297.09 19
wuyk23d75.13 26079.30 21462.63 34075.56 34975.18 12780.89 23573.10 32875.06 15294.76 1295.32 3587.73 4252.85 36934.16 36897.11 8559.85 365
ACMH76.49 1489.34 6091.14 3483.96 16492.50 9570.36 17389.55 6993.84 5081.89 6994.70 1395.44 3490.69 988.31 26183.33 7198.30 2693.20 132
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
SixPastTwentyTwo87.20 8887.45 8686.45 11092.52 9469.19 18587.84 9988.05 20381.66 7194.64 1496.53 1465.94 24394.75 7383.02 7596.83 9495.41 50
mvs_tets89.78 5289.27 6391.30 2893.51 6984.79 4189.89 6190.63 15070.00 21894.55 1596.67 1187.94 3993.59 12184.27 6295.97 12795.52 48
abl_693.02 493.16 492.60 494.73 4488.99 793.26 1294.19 3089.11 1294.43 1695.27 3791.86 395.09 6387.54 1898.02 4093.71 114
jajsoiax89.41 5888.81 7291.19 3293.38 7384.72 4289.70 6390.29 16469.27 22294.39 1796.38 1586.02 6493.52 12583.96 6495.92 13295.34 52
test_040288.65 7089.58 5985.88 12692.55 9372.22 15584.01 15989.44 18288.63 1894.38 1895.77 2586.38 6093.59 12179.84 11095.21 15591.82 190
UniMVSNet_ETH3D89.12 6490.72 4684.31 15697.00 264.33 22089.67 6688.38 19788.84 1594.29 1997.57 390.48 1491.26 19372.57 19397.65 6297.34 14
v7n90.13 4090.96 4187.65 9491.95 11371.06 16889.99 5893.05 8286.53 2894.29 1996.27 1782.69 9194.08 10086.25 4097.63 6397.82 8
test_djsdf89.62 5489.01 6691.45 2592.36 9882.98 5591.98 3190.08 17071.54 19994.28 2196.54 1381.57 11494.27 8786.26 3896.49 10697.09 19
PS-MVSNAJss88.31 7387.90 7989.56 5993.31 7577.96 9687.94 9791.97 11370.73 20994.19 2296.67 1176.94 16194.57 8183.07 7396.28 11496.15 32
SED-MVS90.46 3791.64 1986.93 10194.18 5072.65 14190.47 5093.69 5483.77 4494.11 2394.27 7290.28 1595.84 2286.03 4497.92 4892.29 172
test_241102_ONE94.18 5072.65 14193.69 5483.62 4694.11 2393.78 10390.28 1595.50 47
DPE-MVScopyleft90.53 3591.08 3688.88 6993.38 7378.65 8889.15 7894.05 4084.68 3893.90 2594.11 8588.13 3696.30 384.51 6097.81 5491.70 193
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
APDe-MVS91.22 2491.92 1389.14 6692.97 8378.04 9392.84 1694.14 3583.33 5193.90 2595.73 2688.77 2696.41 187.60 1697.98 4492.98 140
ACMH+77.89 1190.73 3091.50 2388.44 8293.00 8276.26 12289.65 6795.55 787.72 2393.89 2794.94 4591.62 493.44 12978.35 12798.76 495.61 47
ACMM79.39 990.65 3190.99 4089.63 5695.03 3583.53 4989.62 6893.35 6679.20 10293.83 2893.60 10790.81 892.96 14685.02 5498.45 1992.41 164
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6488.83 2495.51 4487.16 2897.60 6692.73 149
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6490.64 1187.16 2897.60 6692.73 149
DVP-MVScopyleft90.06 4391.32 3086.29 11494.16 5372.56 14790.54 4691.01 14083.61 4793.75 3194.65 5489.76 1995.78 2786.42 3497.97 4590.55 220
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_THIRD85.33 3293.75 3194.65 5487.44 4595.78 2787.41 2198.21 3092.98 140
test072694.16 5372.56 14790.63 4593.90 4683.61 4793.75 3194.49 6189.76 19
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 5694.27 2382.35 6393.67 3494.82 4991.18 595.52 4285.36 5098.73 795.23 58
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 4991.18 595.52 4285.36 5098.73 795.23 58
test117292.40 792.41 792.37 694.68 4589.04 691.98 3193.62 5790.14 1193.63 3694.16 8288.83 2495.51 4487.11 3097.54 7292.54 159
test_part187.15 8987.82 8085.15 13988.88 19163.04 23287.98 9594.85 1682.52 6193.61 3795.73 2667.51 23495.71 3180.48 10698.83 296.69 25
DVP-MVS++90.07 4291.09 3587.00 10091.55 13272.64 14396.19 294.10 3885.33 3293.49 3894.64 5781.12 12095.88 1687.41 2195.94 13092.48 161
test_241102_TWO93.71 5383.77 4493.49 3894.27 7289.27 2295.84 2286.03 4497.82 5392.04 181
test_one_060193.85 6373.27 13794.11 3786.57 2793.47 4094.64 5788.42 27
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4194.02 8890.15 1795.67 3386.82 3297.34 7992.19 178
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8185.17 3692.47 2695.05 1587.65 2493.21 4294.39 7090.09 1895.08 6486.67 3397.60 6694.18 93
Anonymous2023121188.40 7289.62 5884.73 14690.46 16365.27 21188.86 8393.02 8687.15 2593.05 4397.10 682.28 9992.02 17376.70 14997.99 4296.88 23
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9494.51 2175.79 14292.94 4494.96 4488.36 2995.01 6690.70 298.40 2095.09 62
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
SD-MVS88.96 6789.88 5386.22 11791.63 12577.07 11289.82 6293.77 5178.90 10692.88 4592.29 14186.11 6290.22 22586.24 4197.24 8291.36 201
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
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 7794.05 4079.03 10592.87 4693.74 10490.60 1295.21 6082.87 7698.76 494.87 66
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4796.29 1688.16 3594.17 9686.07 4398.48 1897.22 17
SMA-MVScopyleft90.31 3890.48 4989.83 5295.31 3179.52 8090.98 4293.24 7675.37 14992.84 4895.28 3685.58 6696.09 787.92 1097.76 5693.88 104
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
test_part293.86 6277.77 9992.84 48
v1086.54 9687.10 9084.84 14388.16 20563.28 22986.64 12092.20 10775.42 14892.81 5094.50 6074.05 18894.06 10183.88 6596.28 11497.17 18
v886.22 10386.83 9784.36 15487.82 20962.35 24486.42 12391.33 13176.78 12892.73 5194.48 6273.41 19793.72 11483.10 7295.41 14797.01 21
nrg03087.85 8188.49 7485.91 12490.07 17169.73 17687.86 9894.20 2874.04 16192.70 5294.66 5385.88 6591.50 18479.72 11297.32 8096.50 30
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3893.48 6382.82 5892.60 5393.97 9088.19 3396.29 487.61 1598.20 3294.39 86
Skip Steuart: Steuart Systems R&D Blog.
OPM-MVS89.80 5189.97 5289.27 6294.76 4179.86 7586.76 11792.78 9578.78 10892.51 5493.64 10688.13 3693.84 11084.83 5797.55 6994.10 97
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
HPM-MVS_fast92.50 592.54 692.37 695.93 1685.81 3292.99 1394.23 2685.21 3492.51 5495.13 4190.65 1095.34 5388.06 998.15 3595.95 40
K. test v385.14 11984.73 13186.37 11191.13 14769.63 17885.45 13676.68 30284.06 4292.44 5696.99 862.03 26294.65 7680.58 10493.24 20694.83 72
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 5794.14 8389.15 2395.62 3487.35 2398.24 2894.56 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
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7393.75 6477.44 10486.31 12595.27 1270.80 20792.28 5893.80 10086.89 5194.64 7785.52 4897.51 7494.30 89
SF-MVS90.27 3990.80 4588.68 7792.86 8777.09 11191.19 4195.74 581.38 7492.28 5893.80 10086.89 5194.64 7785.52 4897.51 7494.30 89
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6786.15 2393.37 1095.10 1490.28 992.11 6095.03 4389.75 2194.93 6879.95 10998.27 2795.04 63
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7393.98 4279.68 9392.09 6193.89 9883.80 8093.10 14382.67 7898.04 3793.64 119
TranMVSNet+NR-MVSNet87.86 8088.76 7385.18 13894.02 5864.13 22184.38 15391.29 13284.88 3792.06 6293.84 9986.45 5893.73 11373.22 18498.66 1197.69 9
zzz-MVS91.27 2291.26 3391.29 2996.59 486.29 1988.94 8191.81 11984.07 4092.00 6394.40 6886.63 5495.28 5688.59 598.31 2492.30 170
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3091.81 11984.07 4092.00 6394.40 6886.63 5495.28 5688.59 598.31 2492.30 170
ACMMP_NAP90.65 3191.07 3889.42 6095.93 1679.54 7989.95 5993.68 5677.65 11991.97 6594.89 4688.38 2895.45 4989.27 397.87 5293.27 129
FC-MVSNet-test85.93 10987.05 9282.58 19592.25 10356.44 30085.75 13293.09 8077.33 12291.94 6694.65 5474.78 18093.41 13175.11 16798.58 1497.88 7
lessismore_v085.95 12391.10 14870.99 16970.91 34191.79 6794.42 6661.76 26392.93 14879.52 11793.03 21293.93 102
HPM-MVScopyleft92.13 992.20 1191.91 1795.58 2684.67 4393.51 894.85 1682.88 5791.77 6893.94 9790.55 1395.73 3088.50 798.23 2995.33 53
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 5693.90 4680.32 8691.74 6994.41 6788.17 3495.98 1186.37 3697.99 4293.96 101
mPP-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 9983.09 5491.54 7094.25 7687.67 4395.51 4487.21 2798.11 3693.12 135
HFP-MVS91.30 2191.39 2591.02 3395.43 2984.66 4492.58 2293.29 7381.99 6691.47 7193.96 9388.35 3095.56 3787.74 1197.74 5892.85 144
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4493.29 7377.00 12691.47 7193.96 9388.35 3095.56 3784.88 5597.74 5892.85 144
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7581.99 6691.40 7394.17 8187.51 4495.87 1887.74 1197.76 5693.99 99
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3693.74 5280.98 7991.38 7493.80 10087.20 4895.80 2487.10 3197.69 6193.93 102
ANet_high83.17 16685.68 11775.65 29281.24 30145.26 36079.94 24692.91 8983.83 4391.33 7596.88 1080.25 13185.92 29068.89 22495.89 13395.76 42
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2894.22 2780.14 8991.29 7693.97 9087.93 4095.87 1888.65 497.96 4794.12 96
APD-MVScopyleft89.54 5689.63 5789.26 6392.57 9281.34 6690.19 5493.08 8180.87 8191.13 7793.19 11186.22 6195.97 1282.23 8597.18 8490.45 222
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
9.1489.29 6291.84 12188.80 8595.32 1175.14 15191.07 7892.89 12187.27 4693.78 11283.69 6897.55 69
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 7994.00 8988.26 3295.71 3187.28 2698.39 2192.55 158
FIs85.35 11686.27 10482.60 19491.86 11857.31 29385.10 14093.05 8275.83 14191.02 8093.97 9073.57 19392.91 15073.97 17598.02 4097.58 12
UniMVSNet_NR-MVSNet86.84 9287.06 9186.17 12192.86 8767.02 19982.55 20491.56 12383.08 5590.92 8191.82 15378.25 14593.99 10274.16 17298.35 2297.49 13
DU-MVS86.80 9386.99 9386.21 11993.24 7767.02 19983.16 18992.21 10681.73 7090.92 8191.97 14777.20 15593.99 10274.16 17298.35 2297.61 10
V4283.47 16083.37 15783.75 16983.16 28663.33 22881.31 22890.23 16669.51 22190.91 8390.81 18374.16 18692.29 16580.06 10790.22 26595.62 46
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8494.21 7787.75 4195.87 1887.60 1697.71 6093.83 106
WR-MVS83.56 15784.40 14381.06 21993.43 7254.88 31178.67 26785.02 25181.24 7590.74 8591.56 16072.85 20491.08 19968.00 23298.04 3797.23 16
v124084.30 13984.51 14083.65 17187.65 21461.26 25382.85 19691.54 12467.94 23890.68 8690.65 18971.71 21793.64 11682.84 7794.78 17396.07 35
ETH3D-3000-0.188.85 6988.96 6988.52 7891.94 11577.27 11088.71 8795.26 1376.08 13390.66 8792.69 12884.48 7393.83 11183.38 7097.48 7694.47 81
testtj89.51 5789.48 6089.59 5892.26 10280.80 6990.14 5593.54 6183.37 5090.57 8892.55 13384.99 6896.15 581.26 9396.61 10191.83 189
ZD-MVS92.22 10580.48 7091.85 11671.22 20490.38 8992.98 11686.06 6396.11 681.99 8796.75 97
MIMVSNet183.63 15684.59 13780.74 22494.06 5762.77 23682.72 19884.53 25777.57 12190.34 9095.92 2476.88 16785.83 29261.88 27497.42 7793.62 120
LS3D90.60 3390.34 5091.38 2789.03 18784.23 4793.58 694.68 1990.65 790.33 9193.95 9684.50 7295.37 5280.87 9995.50 14694.53 80
KD-MVS_self_test81.93 18383.14 16178.30 26184.75 26152.75 32380.37 24189.42 18370.24 21690.26 9293.39 10974.55 18586.77 27868.61 22896.64 9995.38 51
PMVScopyleft80.48 690.08 4190.66 4788.34 8596.71 392.97 190.31 5289.57 18088.51 1990.11 9395.12 4290.98 788.92 25177.55 14197.07 8683.13 316
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PC_three_145258.96 30190.06 9491.33 16480.66 12693.03 14575.78 15995.94 13092.48 161
v192192084.23 14384.37 14483.79 16787.64 21561.71 24882.91 19591.20 13567.94 23890.06 9490.34 19472.04 21493.59 12182.32 8494.91 16996.07 35
ITE_SJBPF90.11 5090.72 15784.97 3890.30 16181.56 7290.02 9691.20 16882.40 9590.81 20973.58 18194.66 17794.56 77
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9794.03 8786.57 5695.80 2487.35 2397.62 6494.20 91
X-MVStestdata85.04 12382.70 16692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9716.05 37286.57 5695.80 2487.35 2397.62 6494.20 91
v119284.57 13184.69 13584.21 15887.75 21162.88 23483.02 19291.43 12769.08 22589.98 9990.89 18072.70 20793.62 12082.41 8294.97 16696.13 33
Anonymous2024052986.20 10487.13 8983.42 17690.19 16764.55 21884.55 14890.71 14785.85 3189.94 10095.24 3982.13 10190.40 22069.19 22196.40 11095.31 54
Regformer-286.74 9486.08 10888.73 7484.18 27479.20 8283.52 17589.33 18483.33 5189.92 10185.07 28483.23 8793.16 13983.39 6992.72 22193.83 106
pmmvs686.52 9788.06 7881.90 20492.22 10562.28 24584.66 14689.15 18683.54 4989.85 10297.32 488.08 3886.80 27770.43 21097.30 8196.62 27
Regformer-486.41 9885.71 11688.52 7884.27 27077.57 10284.07 15688.00 20582.82 5889.84 10385.48 27282.06 10392.77 15283.83 6791.04 24895.22 60
v14419284.24 14284.41 14283.71 17087.59 21661.57 24982.95 19491.03 13967.82 24189.80 10490.49 19273.28 20093.51 12681.88 9094.89 17196.04 37
v114484.54 13484.72 13384.00 16287.67 21362.55 24082.97 19390.93 14370.32 21489.80 10490.99 17573.50 19493.48 12781.69 9194.65 17895.97 38
DeepC-MVS82.31 489.15 6389.08 6589.37 6193.64 6879.07 8388.54 9094.20 2873.53 16789.71 10694.82 4985.09 6795.77 2984.17 6398.03 3993.26 130
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
RPSCF88.00 7886.93 9591.22 3190.08 16989.30 589.68 6591.11 13779.26 10189.68 10794.81 5282.44 9487.74 26576.54 15188.74 28196.61 28
IU-MVS94.18 5072.64 14390.82 14556.98 31589.67 10885.78 4797.92 4893.28 128
FMVSNet184.55 13285.45 12181.85 20690.27 16661.05 25686.83 11488.27 20078.57 11289.66 10995.64 3075.43 17290.68 21369.09 22295.33 15093.82 108
IterMVS-LS84.73 12884.98 12783.96 16487.35 21963.66 22483.25 18589.88 17476.06 13489.62 11092.37 13973.40 19992.52 15778.16 13294.77 17595.69 43
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS88.60 7189.01 6687.36 9791.30 13977.50 10387.55 10192.97 8887.95 2289.62 11092.87 12284.56 7193.89 10777.65 13996.62 10090.70 214
UniMVSNet (Re)86.87 9086.98 9486.55 10893.11 8068.48 18983.80 16892.87 9080.37 8489.61 11291.81 15477.72 14994.18 9475.00 16898.53 1696.99 22
IS-MVSNet86.66 9586.82 9886.17 12192.05 11166.87 20191.21 4088.64 19386.30 3089.60 11392.59 13069.22 22694.91 6973.89 17697.89 5196.72 24
v2v48284.09 14584.24 14683.62 17287.13 22461.40 25082.71 19989.71 17672.19 19489.55 11491.41 16370.70 22293.20 13681.02 9693.76 19596.25 31
Baseline_NR-MVSNet84.00 14985.90 11178.29 26291.47 13753.44 31982.29 21287.00 22579.06 10489.55 11495.72 2877.20 15586.14 28872.30 19598.51 1795.28 55
CSCG86.26 10186.47 10185.60 13290.87 15374.26 13187.98 9591.85 11680.35 8589.54 11688.01 23279.09 13892.13 16775.51 16195.06 16290.41 223
ambc82.98 18490.55 16264.86 21488.20 9289.15 18689.40 11793.96 9371.67 21891.38 19278.83 12296.55 10392.71 152
DeepPCF-MVS81.24 587.28 8786.21 10690.49 4391.48 13684.90 3983.41 18092.38 10470.25 21589.35 11890.68 18782.85 9094.57 8179.55 11495.95 12992.00 183
Regformer-186.00 10685.50 12087.49 9584.18 27476.90 11483.52 17587.94 20782.18 6589.19 11985.07 28482.28 9991.89 17782.40 8392.72 22193.69 115
MSP-MVS89.08 6588.16 7791.83 2195.76 1886.14 2492.75 1793.90 4678.43 11389.16 12092.25 14372.03 21596.36 288.21 890.93 25492.98 140
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
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 12893.60 6080.16 8889.13 12193.44 10883.82 7990.98 20183.86 6695.30 15493.60 121
ETH3D cwj APD-0.1687.83 8287.62 8488.47 8091.21 14278.20 9087.26 10694.54 2072.05 19588.89 12292.31 14083.86 7794.24 9081.59 9296.87 9192.97 143
MDA-MVSNet-bldmvs77.47 23776.90 24179.16 24879.03 32864.59 21566.58 34675.67 30873.15 17888.86 12388.99 22066.94 23781.23 32164.71 25588.22 28891.64 195
EG-PatchMatch MVS84.08 14684.11 14783.98 16392.22 10572.61 14682.20 21887.02 22272.63 18488.86 12391.02 17478.52 14191.11 19873.41 18391.09 24688.21 254
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14181.66 6491.25 3994.13 3688.89 1388.83 12594.26 7577.55 15295.86 2184.88 5595.87 13495.24 57
EI-MVSNet-UG-set85.04 12384.44 14186.85 10383.87 28072.52 14983.82 16685.15 24780.27 8788.75 12685.45 27579.95 13491.90 17681.92 8990.80 25896.13 33
EI-MVSNet-Vis-set85.12 12084.53 13986.88 10284.01 27772.76 14083.91 16485.18 24680.44 8388.75 12685.49 27180.08 13291.92 17582.02 8690.85 25795.97 38
OMC-MVS88.19 7487.52 8590.19 4991.94 11581.68 6387.49 10393.17 7876.02 13688.64 12891.22 16684.24 7693.37 13277.97 13797.03 8795.52 48
Regformer-385.06 12284.67 13686.22 11784.27 27073.43 13584.07 15685.26 24480.77 8288.62 12985.48 27280.56 12890.39 22181.99 8791.04 24894.85 70
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9488.22 2088.53 13097.64 283.45 8494.55 8486.02 4698.60 1396.67 26
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2793.03 8582.59 6088.52 13194.37 7186.74 5395.41 5186.32 3798.21 3093.19 133
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
canonicalmvs85.50 11386.14 10783.58 17387.97 20667.13 19787.55 10194.32 2273.44 16988.47 13287.54 24186.45 5891.06 20075.76 16093.76 19592.54 159
NR-MVSNet86.00 10686.22 10585.34 13693.24 7764.56 21782.21 21690.46 15380.99 7888.42 13391.97 14777.56 15193.85 10872.46 19498.65 1297.61 10
alignmvs83.94 15183.98 15083.80 16687.80 21067.88 19484.54 15091.42 12973.27 17688.41 13487.96 23372.33 21090.83 20876.02 15794.11 18992.69 153
TransMVSNet (Re)84.02 14885.74 11578.85 25091.00 15055.20 31082.29 21287.26 21379.65 9488.38 13595.52 3383.00 8886.88 27567.97 23396.60 10294.45 84
PM-MVS80.20 21079.00 21683.78 16888.17 20486.66 1881.31 22866.81 35569.64 22088.33 13690.19 19964.58 24683.63 31171.99 19890.03 26681.06 342
tttt051781.07 19179.58 21285.52 13388.99 18966.45 20587.03 11175.51 31073.76 16588.32 13790.20 19837.96 36194.16 9979.36 11995.13 15895.93 41
casdiffmvs85.21 11785.85 11283.31 17886.17 24762.77 23683.03 19193.93 4474.69 15588.21 13892.68 12982.29 9891.89 17777.87 13893.75 19795.27 56
v14882.31 17482.48 17281.81 20985.59 25359.66 27181.47 22686.02 23472.85 18188.05 13990.65 18970.73 22190.91 20575.15 16691.79 23794.87 66
AllTest87.97 7987.40 8889.68 5491.59 12683.40 5089.50 7295.44 979.47 9688.00 14093.03 11482.66 9291.47 18570.81 20296.14 12194.16 94
TestCases89.68 5491.59 12683.40 5095.44 979.47 9688.00 14093.03 11482.66 9291.47 18570.81 20296.14 12194.16 94
pm-mvs183.69 15484.95 12879.91 23690.04 17359.66 27182.43 20887.44 21075.52 14587.85 14295.26 3881.25 11985.65 29468.74 22696.04 12494.42 85
PCF-MVS74.62 1582.15 17880.92 19485.84 12789.43 17972.30 15380.53 23991.82 11857.36 31387.81 14389.92 20577.67 15093.63 11758.69 29395.08 16191.58 197
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
FMVSNet281.31 18881.61 18380.41 23086.38 23758.75 28583.93 16386.58 22872.43 18587.65 14492.98 11663.78 25290.22 22566.86 23793.92 19392.27 174
GeoE85.45 11585.81 11384.37 15290.08 16967.07 19885.86 13191.39 13072.33 19087.59 14590.25 19784.85 6992.37 16178.00 13591.94 23693.66 116
VPA-MVSNet83.47 16084.73 13179.69 24190.29 16557.52 29281.30 23088.69 19276.29 13087.58 14694.44 6380.60 12787.20 27066.60 24196.82 9594.34 88
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 2992.30 10579.74 9287.50 14792.38 13681.42 11693.28 13483.07 7397.24 8291.67 194
VDDNet84.35 13785.39 12281.25 21495.13 3359.32 27485.42 13781.11 27686.41 2987.41 14896.21 1973.61 19290.61 21666.33 24296.85 9293.81 111
c3_l81.64 18581.59 18481.79 21080.86 30759.15 27878.61 26890.18 16868.36 23187.20 14987.11 25069.39 22491.62 18278.16 13294.43 18394.60 76
VDD-MVS84.23 14384.58 13883.20 18091.17 14665.16 21383.25 18584.97 25479.79 9187.18 15094.27 7274.77 18190.89 20669.24 21896.54 10493.55 125
MSLP-MVS++85.00 12586.03 10981.90 20491.84 12171.56 16686.75 11893.02 8675.95 13987.12 15189.39 21077.98 14689.40 24777.46 14294.78 17384.75 293
baseline85.20 11885.93 11083.02 18386.30 24262.37 24384.55 14893.96 4374.48 15887.12 15192.03 14682.30 9791.94 17478.39 12594.21 18694.74 73
YYNet170.06 30170.44 29668.90 32273.76 35953.42 32058.99 36067.20 35158.42 30487.10 15385.39 27759.82 27567.32 35559.79 28983.50 32785.96 279
MDA-MVSNet_test_wron70.05 30270.44 29668.88 32373.84 35853.47 31858.93 36167.28 35058.43 30387.09 15485.40 27659.80 27667.25 35659.66 29083.54 32685.92 281
CNVR-MVS87.81 8387.68 8288.21 8792.87 8577.30 10985.25 13891.23 13477.31 12387.07 15591.47 16282.94 8994.71 7484.67 5896.27 11692.62 156
EPP-MVSNet85.47 11485.04 12686.77 10591.52 13569.37 17991.63 3787.98 20681.51 7387.05 15691.83 15266.18 24295.29 5470.75 20596.89 9095.64 45
RRT_MVS83.25 16381.08 19189.74 5380.55 31479.32 8186.41 12486.69 22672.33 19087.00 15791.08 17144.98 34595.55 4084.47 6196.24 11894.36 87
TinyColmap81.25 18982.34 17477.99 26785.33 25660.68 26382.32 21188.33 19871.26 20386.97 15892.22 14577.10 15886.98 27462.37 26995.17 15786.31 277
eth_miper_zixun_eth80.84 19580.22 20482.71 19281.41 29960.98 25977.81 27790.14 16967.31 24586.95 15987.24 24764.26 24892.31 16375.23 16591.61 24094.85 70
Anonymous2024052180.18 21181.25 18776.95 27883.15 28760.84 26182.46 20785.99 23568.76 22986.78 16093.73 10559.13 28077.44 33273.71 17997.55 6992.56 157
Patchmatch-RL test74.48 26973.68 26876.89 28184.83 26066.54 20472.29 32669.16 34857.70 30986.76 16186.33 25845.79 33582.59 31469.63 21590.65 26381.54 333
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11393.91 4580.07 9086.75 16293.26 11093.64 290.93 20384.60 5990.75 25993.97 100
h-mvs3384.25 14182.76 16588.72 7591.82 12382.60 5884.00 16084.98 25371.27 20186.70 16390.55 19163.04 25893.92 10678.26 13094.20 18789.63 232
hse-mvs283.47 16081.81 18088.47 8091.03 14982.27 5982.61 20083.69 25971.27 20186.70 16386.05 26463.04 25892.41 15978.26 13093.62 20190.71 213
HPM-MVS++copyleft88.93 6888.45 7590.38 4594.92 3785.85 3089.70 6391.27 13378.20 11586.69 16592.28 14280.36 13095.06 6586.17 4296.49 10690.22 225
TSAR-MVS + MP.88.14 7587.82 8089.09 6895.72 2276.74 11692.49 2591.19 13667.85 24086.63 16694.84 4879.58 13695.96 1387.62 1494.50 18094.56 77
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
EI-MVSNet82.61 17082.42 17383.20 18083.25 28463.66 22483.50 17885.07 24876.06 13486.55 16785.10 28173.41 19790.25 22278.15 13490.67 26195.68 44
HQP_MVS87.75 8487.43 8788.70 7693.45 7076.42 12089.45 7493.61 5879.44 9886.55 16792.95 11974.84 17895.22 5880.78 10195.83 13594.46 82
plane_prior376.85 11577.79 11886.55 167
BH-untuned80.96 19380.99 19280.84 22388.55 19668.23 19080.33 24288.46 19472.79 18286.55 16786.76 25374.72 18291.77 18161.79 27588.99 27682.52 322
MVSTER77.09 24175.70 25281.25 21475.27 35361.08 25577.49 28485.07 24860.78 29386.55 16788.68 22443.14 35190.25 22273.69 18090.67 26192.42 163
旧先验281.73 22156.88 31686.54 17284.90 30072.81 191
IterMVS-SCA-FT80.64 19979.41 21384.34 15583.93 27869.66 17776.28 29981.09 27772.43 18586.47 17390.19 19960.46 26893.15 14177.45 14386.39 30490.22 225
DIV-MVS_self_test80.43 20280.23 20281.02 22079.99 31759.25 27577.07 28887.02 22267.38 24386.19 17489.22 21463.09 25690.16 22776.32 15295.80 13793.66 116
CDPH-MVS86.17 10585.54 11988.05 9092.25 10375.45 12583.85 16592.01 11165.91 25586.19 17491.75 15683.77 8194.98 6777.43 14496.71 9893.73 113
cl____80.42 20380.23 20281.02 22079.99 31759.25 27577.07 28887.02 22267.37 24486.18 17689.21 21563.08 25790.16 22776.31 15395.80 13793.65 118
ETH3 D test640085.09 12184.87 12985.75 12990.80 15569.34 18085.90 12993.31 7065.43 26286.11 17789.95 20380.92 12294.86 7075.90 15895.57 14493.05 137
MVS_111021_LR84.28 14083.76 15385.83 12889.23 18483.07 5380.99 23483.56 26172.71 18386.07 17889.07 21981.75 11386.19 28777.11 14793.36 20288.24 253
GBi-Net82.02 18082.07 17681.85 20686.38 23761.05 25686.83 11488.27 20072.43 18586.00 17995.64 3063.78 25290.68 21365.95 24493.34 20393.82 108
test182.02 18082.07 17681.85 20686.38 23761.05 25686.83 11488.27 20072.43 18586.00 17995.64 3063.78 25290.68 21365.95 24493.34 20393.82 108
FMVSNet378.80 22278.55 22279.57 24382.89 29056.89 29881.76 22085.77 23769.04 22686.00 17990.44 19351.75 31390.09 23365.95 24493.34 20391.72 192
miper_ehance_all_eth80.34 20680.04 20981.24 21679.82 31958.95 28077.66 27989.66 17765.75 25985.99 18285.11 28068.29 23191.42 18976.03 15692.03 23293.33 126
tfpnnormal81.79 18482.95 16378.31 26088.93 19055.40 30680.83 23782.85 26576.81 12785.90 18394.14 8374.58 18486.51 28266.82 24095.68 14393.01 139
TAPA-MVS77.73 1285.71 11284.83 13088.37 8488.78 19379.72 7687.15 10993.50 6269.17 22385.80 18489.56 20980.76 12492.13 16773.21 18995.51 14593.25 131
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + GP.83.95 15082.69 16787.72 9289.27 18381.45 6583.72 17081.58 27574.73 15485.66 18586.06 26372.56 20992.69 15475.44 16395.21 15589.01 249
EU-MVSNet75.12 26174.43 26377.18 27683.11 28859.48 27385.71 13482.43 26839.76 36785.64 18688.76 22244.71 34787.88 26473.86 17785.88 30884.16 299
LF4IMVS82.75 16981.93 17985.19 13782.08 29280.15 7385.53 13588.76 19168.01 23585.58 18787.75 23771.80 21686.85 27674.02 17493.87 19488.58 252
Patchmtry76.56 24977.46 23373.83 30179.37 32546.60 35782.41 20976.90 29973.81 16485.56 18892.38 13648.07 32383.98 30863.36 26495.31 15390.92 208
MVS_111021_HR84.63 12984.34 14585.49 13590.18 16875.86 12479.23 26087.13 21773.35 17085.56 18889.34 21183.60 8390.50 21876.64 15094.05 19190.09 230
testdata79.54 24492.87 8572.34 15280.14 28459.91 29985.47 19091.75 15667.96 23385.24 29668.57 23092.18 23181.06 342
test111178.53 22678.85 21777.56 27392.22 10547.49 35382.61 20069.24 34772.43 18585.28 19194.20 7851.91 31190.07 23465.36 25196.45 10895.11 61
thisisatest053079.07 21877.33 23684.26 15787.13 22464.58 21683.66 17375.95 30568.86 22885.22 19287.36 24538.10 35993.57 12475.47 16294.28 18594.62 74
DROMVSNet88.01 7788.32 7687.09 9989.28 18272.03 15790.31 5296.31 380.88 8085.12 19389.67 20884.47 7495.46 4882.56 7996.26 11793.77 112
CLD-MVS83.18 16582.64 16884.79 14489.05 18667.82 19577.93 27592.52 10068.33 23285.07 19481.54 32382.06 10392.96 14669.35 21797.91 5093.57 122
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
DeepC-MVS_fast80.27 886.23 10285.65 11887.96 9191.30 13976.92 11387.19 10791.99 11270.56 21084.96 19590.69 18680.01 13395.14 6178.37 12695.78 13991.82 190
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator80.37 784.80 12784.71 13485.06 14186.36 24074.71 12888.77 8690.00 17275.65 14484.96 19593.17 11274.06 18791.19 19578.28 12991.09 24689.29 241
QAPM82.59 17182.59 17082.58 19586.44 23566.69 20389.94 6090.36 15767.97 23784.94 19792.58 13272.71 20692.18 16670.63 20887.73 29388.85 250
VPNet80.25 20881.68 18175.94 29192.46 9647.98 35176.70 29281.67 27473.45 16884.87 19892.82 12374.66 18386.51 28261.66 27796.85 9293.33 126
NCCC87.36 8686.87 9688.83 7092.32 10178.84 8686.58 12191.09 13878.77 10984.85 19990.89 18080.85 12395.29 5481.14 9595.32 15192.34 168
PHI-MVS86.38 9985.81 11388.08 8888.44 19977.34 10789.35 7693.05 8273.15 17884.76 20087.70 23878.87 14094.18 9480.67 10396.29 11392.73 149
pmmvs-eth3d78.42 22877.04 23982.57 19787.44 21874.41 13080.86 23679.67 28655.68 31984.69 20190.31 19660.91 26685.42 29562.20 27191.59 24187.88 261
RRT_test8_iter0578.08 23177.52 23279.75 23980.84 30852.54 32780.61 23888.96 18867.77 24284.62 20289.29 21333.89 36692.10 17077.59 14094.15 18894.62 74
test_prior386.31 10086.31 10386.32 11290.59 16071.99 15883.37 18192.85 9175.43 14684.58 20391.57 15881.92 10994.17 9679.54 11596.97 8892.80 146
test_prior283.37 18175.43 14684.58 20391.57 15881.92 10979.54 11596.97 88
TEST992.34 9979.70 7783.94 16190.32 15865.41 26684.49 20590.97 17682.03 10593.63 117
train_agg85.98 10885.28 12388.07 8992.34 9979.70 7783.94 16190.32 15865.79 25684.49 20590.97 17681.93 10793.63 11781.21 9496.54 10490.88 209
Gipumacopyleft84.44 13586.33 10278.78 25184.20 27373.57 13489.55 6990.44 15484.24 3984.38 20794.89 4676.35 17080.40 32576.14 15596.80 9682.36 324
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
test_892.09 10978.87 8583.82 16690.31 16065.79 25684.36 20890.96 17881.93 10793.44 129
cl2278.97 21978.21 22781.24 21677.74 33359.01 27977.46 28587.13 21765.79 25684.32 20985.10 28158.96 28290.88 20775.36 16492.03 23293.84 105
agg_prior185.72 11185.20 12487.28 9891.58 12977.69 10083.69 17190.30 16166.29 25284.32 20991.07 17382.13 10193.18 13781.02 9696.36 11190.98 205
agg_prior91.58 12977.69 10090.30 16184.32 20993.18 137
Anonymous20240521180.51 20181.19 19078.49 25788.48 19757.26 29476.63 29382.49 26781.21 7684.30 21292.24 14467.99 23286.24 28662.22 27095.13 15891.98 186
CS-MVS-test87.40 8586.81 9989.20 6489.70 17678.05 9287.30 10595.67 679.64 9584.28 21385.85 26881.34 11894.57 8182.55 8094.93 16794.97 64
LFMVS80.15 21280.56 19678.89 24989.19 18555.93 30285.22 13973.78 32282.96 5684.28 21392.72 12757.38 29290.07 23463.80 26095.75 14090.68 215
Vis-MVSNetpermissive86.86 9186.58 10087.72 9292.09 10977.43 10687.35 10492.09 10978.87 10784.27 21594.05 8678.35 14493.65 11580.54 10591.58 24292.08 180
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
ECVR-MVScopyleft78.44 22778.63 22177.88 26991.85 11948.95 34783.68 17269.91 34572.30 19284.26 21694.20 7851.89 31289.82 23863.58 26196.02 12594.87 66
CS-MVS88.03 7687.67 8389.10 6789.60 17777.89 9790.49 4994.78 1879.37 10084.25 21789.32 21283.84 7894.49 8582.47 8194.93 16794.93 65
ETV-MVS84.31 13883.91 15285.52 13388.58 19570.40 17284.50 15293.37 6478.76 11084.07 21878.72 34280.39 12995.13 6273.82 17892.98 21491.04 204
MCST-MVS84.36 13683.93 15185.63 13191.59 12671.58 16583.52 17592.13 10861.82 28383.96 21989.75 20779.93 13593.46 12878.33 12894.34 18491.87 188
新几何182.95 18593.96 5978.56 8980.24 28255.45 32083.93 22091.08 17171.19 22088.33 26065.84 24793.07 21081.95 329
BH-RMVSNet80.53 20080.22 20481.49 21287.19 22366.21 20677.79 27886.23 23174.21 16083.69 22188.50 22673.25 20190.75 21063.18 26687.90 29087.52 264
112180.86 19479.81 21184.02 16193.93 6078.70 8781.64 22380.18 28355.43 32183.67 22291.15 16971.29 21991.41 19067.95 23493.06 21181.96 328
USDC76.63 24776.73 24376.34 28783.46 28257.20 29580.02 24588.04 20452.14 33983.65 22391.25 16563.24 25586.65 28154.66 31894.11 18985.17 288
miper_enhance_ethall77.83 23376.93 24080.51 22876.15 34658.01 28875.47 30788.82 18958.05 30783.59 22480.69 32764.41 24791.20 19473.16 19092.03 23292.33 169
Effi-MVS+-dtu85.82 11083.38 15693.14 387.13 22491.15 287.70 10088.42 19574.57 15683.56 22585.65 26978.49 14294.21 9272.04 19692.88 21694.05 98
CNLPA83.55 15883.10 16284.90 14289.34 18183.87 4884.54 15088.77 19079.09 10383.54 22688.66 22574.87 17781.73 31966.84 23992.29 22689.11 243
bset_n11_16_dypcd79.19 21777.97 22982.86 19085.81 25166.85 20275.02 31079.31 28766.07 25383.50 22783.37 30555.04 30692.10 17078.63 12494.99 16589.63 232
OpenMVS_ROBcopyleft70.19 1777.77 23677.46 23378.71 25384.39 26761.15 25481.18 23282.52 26662.45 28083.34 22887.37 24466.20 24188.66 25764.69 25685.02 31586.32 276
thres100view90075.45 25775.05 25776.66 28487.27 22051.88 33281.07 23373.26 32675.68 14383.25 22986.37 25745.54 33688.80 25251.98 33190.99 25089.31 239
miper_lstm_enhance76.45 25176.10 24877.51 27476.72 34160.97 26064.69 34985.04 25063.98 27283.20 23088.22 22956.67 29578.79 33073.22 18493.12 20992.78 148
IterMVS76.91 24376.34 24678.64 25480.91 30564.03 22276.30 29879.03 29064.88 26983.11 23189.16 21659.90 27484.46 30468.61 22885.15 31487.42 265
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
thres600view775.97 25475.35 25677.85 27187.01 23051.84 33380.45 24073.26 32675.20 15083.10 23286.31 26045.54 33689.05 24855.03 31692.24 22892.66 154
mvs_anonymous78.13 23078.76 21976.23 29079.24 32650.31 34478.69 26684.82 25561.60 28783.09 23392.82 12373.89 19087.01 27168.33 23186.41 30391.37 200
MVS_Test82.47 17383.22 15880.22 23382.62 29157.75 29182.54 20591.96 11471.16 20582.89 23492.52 13577.41 15390.50 21880.04 10887.84 29292.40 165
test1286.57 10790.74 15672.63 14590.69 14882.76 23579.20 13794.80 7295.32 15192.27 174
原ACMM184.60 14992.81 9074.01 13291.50 12562.59 27782.73 23690.67 18876.53 16894.25 8969.24 21895.69 14285.55 284
test_yl78.71 22478.51 22379.32 24684.32 26858.84 28278.38 26985.33 24275.99 13782.49 23786.57 25458.01 28690.02 23662.74 26792.73 21989.10 244
DCV-MVSNet78.71 22478.51 22379.32 24684.32 26858.84 28278.38 26985.33 24275.99 13782.49 23786.57 25458.01 28690.02 23662.74 26792.73 21989.10 244
diffmvs80.40 20480.48 19980.17 23479.02 32960.04 26777.54 28290.28 16566.65 25082.40 23987.33 24673.50 19487.35 26977.98 13689.62 27093.13 134
test22293.31 7576.54 11779.38 25577.79 29552.59 33482.36 24090.84 18266.83 23991.69 23981.25 337
D2MVS76.84 24475.67 25380.34 23180.48 31562.16 24773.50 32084.80 25657.61 31182.24 24187.54 24151.31 31487.65 26670.40 21193.19 20891.23 202
VNet79.31 21680.27 20176.44 28587.92 20853.95 31575.58 30584.35 25874.39 15982.23 24290.72 18572.84 20584.39 30560.38 28793.98 19290.97 206
Vis-MVSNet (Re-imp)77.82 23477.79 23177.92 26888.82 19251.29 33783.28 18371.97 33574.04 16182.23 24289.78 20657.38 29289.41 24657.22 30195.41 14793.05 137
API-MVS82.28 17582.61 16981.30 21386.29 24369.79 17488.71 8787.67 20978.42 11482.15 24484.15 29677.98 14691.59 18365.39 25092.75 21882.51 323
DP-MVS Recon84.05 14783.22 15886.52 10991.73 12475.27 12683.23 18792.40 10272.04 19682.04 24588.33 22877.91 14893.95 10566.17 24395.12 16090.34 224
MSDG80.06 21479.99 21080.25 23283.91 27968.04 19377.51 28389.19 18577.65 11981.94 24683.45 30276.37 16986.31 28563.31 26586.59 30186.41 275
test250674.12 27273.39 27276.28 28891.85 11944.20 36384.06 15848.20 37572.30 19281.90 24794.20 7827.22 37689.77 23964.81 25496.02 12594.87 66
Fast-Effi-MVS+81.04 19280.57 19582.46 19987.50 21763.22 23078.37 27189.63 17868.01 23581.87 24882.08 31882.31 9692.65 15567.10 23688.30 28791.51 199
testgi72.36 28574.61 25965.59 33480.56 31342.82 36768.29 33973.35 32566.87 24881.84 24989.93 20472.08 21366.92 35846.05 35392.54 22387.01 271
tfpn200view974.86 26574.23 26476.74 28386.24 24452.12 32979.24 25873.87 32073.34 17181.82 25084.60 29246.02 33088.80 25251.98 33190.99 25089.31 239
thres40075.14 25974.23 26477.86 27086.24 24452.12 32979.24 25873.87 32073.34 17181.82 25084.60 29246.02 33088.80 25251.98 33190.99 25092.66 154
CL-MVSNet_self_test76.81 24577.38 23575.12 29586.90 23251.34 33573.20 32380.63 28168.30 23381.80 25288.40 22766.92 23880.90 32255.35 31394.90 17093.12 135
OpenMVScopyleft76.72 1381.98 18282.00 17881.93 20384.42 26668.22 19188.50 9189.48 18166.92 24781.80 25291.86 14972.59 20890.16 22771.19 20191.25 24587.40 266
AdaColmapbinary83.66 15583.69 15483.57 17490.05 17272.26 15486.29 12790.00 17278.19 11681.65 25487.16 24883.40 8594.24 9061.69 27694.76 17684.21 298
DELS-MVS81.44 18781.25 18782.03 20284.27 27062.87 23576.47 29792.49 10170.97 20681.64 25583.83 29775.03 17592.70 15374.29 17092.22 23090.51 221
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
114514_t83.10 16782.54 17184.77 14592.90 8469.10 18786.65 11990.62 15154.66 32481.46 25690.81 18376.98 16094.38 8672.62 19296.18 11990.82 211
TR-MVS76.77 24675.79 25079.72 24086.10 24965.79 20977.14 28683.02 26365.20 26781.40 25782.10 31766.30 24090.73 21255.57 31085.27 31282.65 318
TAMVS78.08 23176.36 24583.23 17990.62 15972.87 13979.08 26180.01 28561.72 28581.35 25886.92 25263.96 25188.78 25550.61 33593.01 21388.04 257
Effi-MVS+83.90 15284.01 14983.57 17487.22 22265.61 21086.55 12292.40 10278.64 11181.34 25984.18 29583.65 8292.93 14874.22 17187.87 29192.17 179
new-patchmatchnet70.10 30073.37 27360.29 34781.23 30216.95 37759.54 35774.62 31362.93 27580.97 26087.93 23562.83 26171.90 34555.24 31495.01 16492.00 183
PVSNet_Blended_VisFu81.55 18680.49 19884.70 14891.58 12973.24 13884.21 15491.67 12262.86 27680.94 26187.16 24867.27 23692.87 15169.82 21488.94 27887.99 258
BH-w/o76.57 24876.07 24978.10 26586.88 23365.92 20877.63 28086.33 22965.69 26080.89 26279.95 33668.97 22990.74 21153.01 32785.25 31377.62 348
PAPM_NR83.23 16483.19 16083.33 17790.90 15265.98 20788.19 9390.78 14678.13 11780.87 26387.92 23673.49 19692.42 15870.07 21288.40 28291.60 196
ab-mvs79.67 21580.56 19676.99 27788.48 19756.93 29684.70 14586.06 23368.95 22780.78 26493.08 11375.30 17484.62 30356.78 30290.90 25589.43 237
mvs-test184.55 13282.12 17591.84 2087.13 22489.54 485.05 14188.42 19574.57 15680.60 26582.98 30678.49 14293.98 10472.04 19689.77 26892.00 183
XXY-MVS74.44 27176.19 24769.21 32184.61 26252.43 32871.70 32877.18 29860.73 29480.60 26590.96 17875.44 17169.35 35056.13 30688.33 28385.86 282
HQP4-MVS80.56 26794.61 7993.56 123
HQP-NCC91.19 14384.77 14273.30 17380.55 268
ACMP_Plane91.19 14384.77 14273.30 17380.55 268
HQP-MVS84.61 13084.06 14886.27 11591.19 14370.66 17084.77 14292.68 9773.30 17380.55 26890.17 20172.10 21194.61 7977.30 14594.47 18193.56 123
AUN-MVS81.18 19078.78 21888.39 8390.93 15182.14 6082.51 20683.67 26064.69 27080.29 27185.91 26751.07 31592.38 16076.29 15493.63 20090.65 217
HyFIR lowres test75.12 26172.66 28082.50 19891.44 13865.19 21272.47 32587.31 21246.79 35580.29 27184.30 29452.70 31092.10 17051.88 33486.73 30090.22 225
test20.0373.75 27574.59 26171.22 31481.11 30351.12 33970.15 33472.10 33470.42 21180.28 27391.50 16164.21 24974.72 34246.96 35194.58 17987.82 263
F-COLMAP84.97 12683.42 15589.63 5692.39 9783.40 5088.83 8491.92 11573.19 17780.18 27489.15 21777.04 15993.28 13465.82 24892.28 22792.21 177
GA-MVS75.83 25574.61 25979.48 24581.87 29459.25 27573.42 32182.88 26468.68 23079.75 27581.80 32050.62 31789.46 24466.85 23885.64 30989.72 231
xiu_mvs_v1_base_debu80.84 19580.14 20682.93 18688.31 20071.73 16179.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
xiu_mvs_v1_base80.84 19580.14 20682.93 18688.31 20071.73 16179.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
xiu_mvs_v1_base_debi80.84 19580.14 20682.93 18688.31 20071.73 16179.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
UnsupCasMVSNet_eth71.63 29272.30 28569.62 31976.47 34352.70 32570.03 33580.97 27859.18 30079.36 27988.21 23060.50 26769.12 35158.33 29677.62 35287.04 270
ppachtmachnet_test74.73 26874.00 26676.90 28080.71 31156.89 29871.53 32978.42 29258.24 30579.32 28082.92 31057.91 28984.26 30665.60 24991.36 24489.56 234
MG-MVS80.32 20780.94 19378.47 25888.18 20352.62 32682.29 21285.01 25272.01 19779.24 28192.54 13469.36 22593.36 13370.65 20789.19 27589.45 235
Fast-Effi-MVS+-dtu82.54 17281.41 18685.90 12585.60 25276.53 11983.07 19089.62 17973.02 18079.11 28283.51 30080.74 12590.24 22468.76 22589.29 27290.94 207
CDS-MVSNet77.32 23975.40 25483.06 18289.00 18872.48 15077.90 27682.17 27060.81 29278.94 28383.49 30159.30 27888.76 25654.64 31992.37 22587.93 260
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
baseline173.26 27773.54 27072.43 31084.92 25947.79 35279.89 24774.00 31865.93 25478.81 28486.28 26156.36 29781.63 32056.63 30379.04 34887.87 262
EIA-MVS82.19 17781.23 18985.10 14087.95 20769.17 18683.22 18893.33 6770.42 21178.58 28579.77 33977.29 15494.20 9371.51 19988.96 27791.93 187
thres20072.34 28671.55 29174.70 29883.48 28151.60 33475.02 31073.71 32370.14 21778.56 28680.57 33046.20 32888.20 26246.99 35089.29 27284.32 297
our_test_371.85 28971.59 28972.62 30880.71 31153.78 31669.72 33671.71 33958.80 30278.03 28780.51 33256.61 29678.84 32962.20 27186.04 30785.23 287
KD-MVS_2432*160066.87 31465.81 31970.04 31567.50 37047.49 35362.56 35379.16 28861.21 29077.98 28880.61 32825.29 37882.48 31553.02 32584.92 31680.16 345
miper_refine_blended66.87 31465.81 31970.04 31567.50 37047.49 35362.56 35379.16 28861.21 29077.98 28880.61 32825.29 37882.48 31553.02 32584.92 31680.16 345
jason77.42 23875.75 25182.43 20087.10 22869.27 18177.99 27481.94 27251.47 34377.84 29085.07 28460.32 27089.00 24970.74 20689.27 27489.03 247
jason: jason.
MAR-MVS80.24 20978.74 22084.73 14686.87 23478.18 9185.75 13287.81 20865.67 26177.84 29078.50 34373.79 19190.53 21761.59 27990.87 25685.49 286
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
FPMVS72.29 28772.00 28673.14 30488.63 19485.00 3774.65 31467.39 34971.94 19877.80 29287.66 23950.48 31875.83 33849.95 33779.51 34358.58 367
pmmvs474.92 26472.98 27780.73 22584.95 25871.71 16476.23 30077.59 29652.83 33377.73 29386.38 25656.35 29884.97 29957.72 30087.05 29885.51 285
ET-MVSNet_ETH3D75.28 25872.77 27882.81 19183.03 28968.11 19277.09 28776.51 30360.67 29577.60 29480.52 33138.04 36091.15 19770.78 20490.68 26089.17 242
UnsupCasMVSNet_bld69.21 30769.68 30267.82 32879.42 32351.15 33867.82 34375.79 30654.15 32677.47 29585.36 27959.26 27970.64 34748.46 34479.35 34581.66 331
Anonymous2023120671.38 29371.88 28769.88 31786.31 24154.37 31270.39 33374.62 31352.57 33576.73 29688.76 22259.94 27372.06 34444.35 35693.23 20783.23 314
CMPMVSbinary59.41 2075.12 26173.57 26979.77 23775.84 34867.22 19681.21 23182.18 26950.78 34776.50 29787.66 23955.20 30482.99 31362.17 27390.64 26489.09 246
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
FMVSNet572.10 28871.69 28873.32 30281.57 29753.02 32276.77 29178.37 29363.31 27376.37 29891.85 15036.68 36378.98 32847.87 34792.45 22487.95 259
CVMVSNet72.62 28371.41 29276.28 28883.25 28460.34 26583.50 17879.02 29137.77 36876.33 29985.10 28149.60 32087.41 26870.54 20977.54 35381.08 340
PLCcopyleft73.85 1682.09 17980.31 20087.45 9690.86 15480.29 7285.88 13090.65 14968.17 23476.32 30086.33 25873.12 20292.61 15661.40 28090.02 26789.44 236
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MVSFormer82.23 17681.57 18584.19 16085.54 25469.26 18291.98 3190.08 17071.54 19976.23 30185.07 28458.69 28394.27 8786.26 3888.77 27989.03 247
lupinMVS76.37 25274.46 26282.09 20185.54 25469.26 18276.79 29080.77 28050.68 34976.23 30182.82 31158.69 28388.94 25069.85 21388.77 27988.07 255
PatchMatch-RL74.48 26973.22 27478.27 26387.70 21285.26 3575.92 30270.09 34364.34 27176.09 30381.25 32565.87 24478.07 33153.86 32183.82 32571.48 356
thisisatest051573.00 28170.52 29580.46 22981.45 29859.90 26973.16 32474.31 31757.86 30876.08 30477.78 34537.60 36292.12 16965.00 25291.45 24389.35 238
MS-PatchMatch70.93 29570.22 29873.06 30581.85 29562.50 24173.82 31977.90 29452.44 33675.92 30581.27 32455.67 30181.75 31855.37 31277.70 35174.94 352
CHOSEN 1792x268872.45 28470.56 29478.13 26490.02 17463.08 23168.72 33883.16 26242.99 36475.92 30585.46 27457.22 29485.18 29849.87 33981.67 33686.14 278
CR-MVSNet74.00 27373.04 27676.85 28279.58 32062.64 23882.58 20276.90 29950.50 35075.72 30792.38 13648.07 32384.07 30768.72 22782.91 33183.85 303
RPMNet78.88 22078.28 22680.68 22779.58 32062.64 23882.58 20294.16 3174.80 15375.72 30792.59 13048.69 32195.56 3773.48 18282.91 33183.85 303
DPM-MVS80.10 21379.18 21582.88 18990.71 15869.74 17578.87 26490.84 14460.29 29775.64 30985.92 26667.28 23593.11 14271.24 20091.79 23785.77 283
PVSNet_BlendedMVS78.80 22277.84 23081.65 21184.43 26463.41 22679.49 25490.44 15461.70 28675.43 31087.07 25169.11 22791.44 18760.68 28592.24 22890.11 229
PVSNet_Blended76.49 25075.40 25479.76 23884.43 26463.41 22675.14 30990.44 15457.36 31375.43 31078.30 34469.11 22791.44 18760.68 28587.70 29484.42 296
PAPR78.84 22178.10 22881.07 21885.17 25760.22 26682.21 21690.57 15262.51 27875.32 31284.61 29174.99 17692.30 16459.48 29188.04 28990.68 215
N_pmnet70.20 29868.80 30774.38 29980.91 30584.81 4059.12 35976.45 30455.06 32275.31 31382.36 31655.74 30054.82 36847.02 34987.24 29783.52 307
cascas76.29 25374.81 25880.72 22684.47 26362.94 23373.89 31887.34 21155.94 31875.16 31476.53 35363.97 25091.16 19665.00 25290.97 25388.06 256
SCA73.32 27672.57 28275.58 29381.62 29655.86 30378.89 26371.37 34061.73 28474.93 31583.42 30360.46 26887.01 27158.11 29882.63 33583.88 300
xiu_mvs_v2_base77.19 24076.75 24278.52 25687.01 23061.30 25275.55 30687.12 22061.24 28974.45 31678.79 34177.20 15590.93 20364.62 25884.80 32183.32 312
CANet83.79 15382.85 16486.63 10686.17 24772.21 15683.76 16991.43 12777.24 12474.39 31787.45 24375.36 17395.42 5077.03 14892.83 21792.25 176
PS-MVSNAJ77.04 24276.53 24478.56 25587.09 22961.40 25075.26 30887.13 21761.25 28874.38 31877.22 35076.94 16190.94 20264.63 25784.83 32083.35 311
MVP-Stereo75.81 25673.51 27182.71 19289.35 18073.62 13380.06 24385.20 24560.30 29673.96 31987.94 23457.89 29089.45 24552.02 33074.87 35785.06 290
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
UGNet82.78 16881.64 18286.21 11986.20 24676.24 12386.86 11285.68 23877.07 12573.76 32092.82 12369.64 22391.82 18069.04 22393.69 19890.56 219
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
1112_ss74.82 26673.74 26778.04 26689.57 17860.04 26776.49 29687.09 22154.31 32573.66 32179.80 33760.25 27186.76 28058.37 29484.15 32487.32 267
Test_1112_low_res73.90 27473.08 27576.35 28690.35 16455.95 30173.40 32286.17 23250.70 34873.14 32285.94 26558.31 28585.90 29156.51 30483.22 32887.20 268
131473.22 27872.56 28375.20 29480.41 31657.84 28981.64 22385.36 24151.68 34273.10 32376.65 35261.45 26485.19 29763.54 26279.21 34782.59 319
Patchmatch-test65.91 32067.38 31261.48 34575.51 35043.21 36668.84 33763.79 35962.48 27972.80 32483.42 30344.89 34659.52 36748.27 34686.45 30281.70 330
PatchmatchNetpermissive69.71 30568.83 30672.33 31177.66 33553.60 31779.29 25669.99 34457.66 31072.53 32582.93 30946.45 32780.08 32760.91 28372.09 36083.31 313
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpm67.95 31068.08 31167.55 32978.74 33143.53 36575.60 30467.10 35454.92 32372.23 32688.10 23142.87 35275.97 33752.21 32980.95 34283.15 315
pmmvs570.73 29670.07 29972.72 30677.03 33952.73 32474.14 31575.65 30950.36 35172.17 32785.37 27855.42 30380.67 32452.86 32887.59 29584.77 292
PatchT70.52 29772.76 27963.79 33979.38 32433.53 37377.63 28065.37 35773.61 16671.77 32892.79 12644.38 34875.65 33964.53 25985.37 31182.18 326
MVS73.21 27972.59 28175.06 29680.97 30460.81 26281.64 22385.92 23646.03 35871.68 32977.54 34668.47 23089.77 23955.70 30985.39 31074.60 353
MIMVSNet71.09 29471.59 28969.57 32087.23 22150.07 34578.91 26271.83 33660.20 29871.26 33091.76 15555.08 30576.09 33641.06 36187.02 29982.54 321
WTY-MVS67.91 31168.35 30966.58 33280.82 30948.12 35065.96 34772.60 33053.67 32971.20 33181.68 32258.97 28169.06 35248.57 34381.67 33682.55 320
test0.0.03 164.66 32364.36 32465.57 33575.03 35546.89 35664.69 34961.58 36462.43 28171.18 33277.54 34643.41 34968.47 35340.75 36282.65 33381.35 334
CostFormer69.98 30368.68 30873.87 30077.14 33750.72 34279.26 25774.51 31551.94 34170.97 33384.75 28945.16 34487.49 26755.16 31579.23 34683.40 310
tpmvs70.16 29969.56 30371.96 31274.71 35748.13 34979.63 24975.45 31165.02 26870.26 33481.88 31945.34 34185.68 29358.34 29575.39 35682.08 327
sss66.92 31367.26 31365.90 33377.23 33651.10 34064.79 34871.72 33852.12 34070.13 33580.18 33457.96 28865.36 36350.21 33681.01 34181.25 337
tpm268.45 30966.83 31573.30 30378.93 33048.50 34879.76 24871.76 33747.50 35469.92 33683.60 29942.07 35388.40 25948.44 34579.51 34383.01 317
HY-MVS64.64 1873.03 28072.47 28474.71 29783.36 28354.19 31382.14 21981.96 27156.76 31769.57 33786.21 26260.03 27284.83 30249.58 34082.65 33385.11 289
tpm cat166.76 31665.21 32271.42 31377.09 33850.62 34378.01 27373.68 32444.89 36068.64 33879.00 34045.51 33882.42 31749.91 33870.15 36381.23 339
IB-MVS62.13 1971.64 29168.97 30579.66 24280.80 31062.26 24673.94 31776.90 29963.27 27468.63 33976.79 35133.83 36791.84 17959.28 29287.26 29684.88 291
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
EPNet80.37 20578.41 22586.23 11676.75 34073.28 13687.18 10877.45 29776.24 13268.14 34088.93 22165.41 24593.85 10869.47 21696.12 12391.55 198
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PVSNet58.17 2166.41 31865.63 32168.75 32481.96 29349.88 34662.19 35572.51 33251.03 34568.04 34175.34 35650.84 31674.77 34045.82 35482.96 32981.60 332
tpmrst66.28 31966.69 31765.05 33772.82 36539.33 36878.20 27270.69 34253.16 33267.88 34280.36 33348.18 32274.75 34158.13 29770.79 36281.08 340
CANet_DTU77.81 23577.05 23880.09 23581.37 30059.90 26983.26 18488.29 19969.16 22467.83 34383.72 29860.93 26589.47 24369.22 22089.70 26990.88 209
EPMVS62.47 32462.63 32862.01 34170.63 36938.74 36974.76 31252.86 37253.91 32867.71 34480.01 33539.40 35766.60 35955.54 31168.81 36780.68 344
MVS_030478.17 22977.23 23780.99 22284.13 27669.07 18881.39 22780.81 27976.28 13167.53 34589.11 21862.87 26086.77 27860.90 28492.01 23587.13 269
MDTV_nov1_ep1368.29 31078.03 33243.87 36474.12 31672.22 33352.17 33767.02 34685.54 27045.36 34080.85 32355.73 30784.42 323
pmmvs362.47 32460.02 33669.80 31871.58 36864.00 22370.52 33258.44 36839.77 36666.05 34775.84 35427.10 37772.28 34346.15 35284.77 32273.11 354
ADS-MVSNet265.87 32163.64 32672.55 30973.16 36256.92 29767.10 34474.81 31249.74 35266.04 34882.97 30746.71 32577.26 33342.29 35869.96 36483.46 308
ADS-MVSNet61.90 32662.19 32961.03 34673.16 36236.42 37167.10 34461.75 36249.74 35266.04 34882.97 30746.71 32563.21 36542.29 35869.96 36483.46 308
DWT-MVSNet_test66.43 31764.37 32372.63 30774.86 35650.86 34176.52 29572.74 32954.06 32765.50 35068.30 36432.13 36984.84 30161.63 27873.59 35882.19 325
DSMNet-mixed60.98 33261.61 33159.09 34972.88 36445.05 36174.70 31346.61 37626.20 37065.34 35190.32 19555.46 30263.12 36641.72 36081.30 34069.09 360
JIA-IIPM69.41 30666.64 31877.70 27273.19 36171.24 16775.67 30365.56 35670.42 21165.18 35292.97 11833.64 36883.06 31253.52 32369.61 36678.79 347
test-LLR67.21 31266.74 31668.63 32576.45 34455.21 30867.89 34067.14 35262.43 28165.08 35372.39 35843.41 34969.37 34861.00 28184.89 31881.31 335
test-mter65.00 32263.79 32568.63 32576.45 34455.21 30867.89 34067.14 35250.98 34665.08 35372.39 35828.27 37469.37 34861.00 28184.89 31881.31 335
PMMVS255.64 33759.27 33744.74 35364.30 37512.32 37840.60 36649.79 37453.19 33165.06 35584.81 28853.60 30949.76 37032.68 37089.41 27172.15 355
baseline269.77 30466.89 31478.41 25979.51 32258.09 28776.23 30069.57 34657.50 31264.82 35677.45 34846.02 33088.44 25853.08 32477.83 35088.70 251
gg-mvs-nofinetune68.96 30869.11 30468.52 32776.12 34745.32 35983.59 17455.88 37086.68 2664.62 35797.01 730.36 37183.97 30944.78 35582.94 33076.26 350
PAPM71.77 29070.06 30076.92 27986.39 23653.97 31476.62 29486.62 22753.44 33063.97 35884.73 29057.79 29192.34 16239.65 36381.33 33984.45 295
new_pmnet55.69 33657.66 33849.76 35275.47 35130.59 37459.56 35651.45 37343.62 36362.49 35975.48 35540.96 35549.15 37137.39 36672.52 35969.55 359
MDTV_nov1_ep13_2view27.60 37670.76 33146.47 35761.27 36045.20 34249.18 34183.75 305
dp60.70 33360.29 33561.92 34372.04 36738.67 37070.83 33064.08 35851.28 34460.75 36177.28 34936.59 36471.58 34647.41 34862.34 36975.52 351
TESTMET0.1,161.29 32960.32 33464.19 33872.06 36651.30 33667.89 34062.09 36045.27 35960.65 36269.01 36127.93 37564.74 36456.31 30581.65 33876.53 349
PMMVS61.65 32760.38 33365.47 33665.40 37469.26 18263.97 35161.73 36336.80 36960.11 36368.43 36259.42 27766.35 36048.97 34278.57 34960.81 364
PVSNet_051.08 2256.10 33554.97 34059.48 34875.12 35453.28 32155.16 36261.89 36144.30 36159.16 36462.48 36754.22 30765.91 36235.40 36747.01 37059.25 366
MVS-HIRNet61.16 33062.92 32755.87 35079.09 32735.34 37271.83 32757.98 36946.56 35659.05 36591.14 17049.95 31976.43 33538.74 36471.92 36155.84 368
E-PMN61.59 32861.62 33061.49 34466.81 37255.40 30653.77 36360.34 36566.80 24958.90 36665.50 36540.48 35666.12 36155.72 30886.25 30562.95 363
GG-mvs-BLEND67.16 33073.36 36046.54 35884.15 15555.04 37158.64 36761.95 36829.93 37283.87 31038.71 36576.92 35471.07 357
EPNet_dtu72.87 28271.33 29377.49 27577.72 33460.55 26482.35 21075.79 30666.49 25158.39 36881.06 32653.68 30885.98 28953.55 32292.97 21585.95 280
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EMVS61.10 33160.81 33261.99 34265.96 37355.86 30353.10 36458.97 36767.06 24656.89 36963.33 36640.98 35467.03 35754.79 31786.18 30663.08 362
CHOSEN 280x42059.08 33456.52 33966.76 33176.51 34264.39 21949.62 36559.00 36643.86 36255.66 37068.41 36335.55 36568.21 35443.25 35776.78 35567.69 361
MVEpermissive40.22 2351.82 33850.47 34155.87 35062.66 37651.91 33131.61 36839.28 37740.65 36550.76 37174.98 35756.24 29944.67 37233.94 36964.11 36871.04 358
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DeepMVS_CXcopyleft24.13 35532.95 37729.49 37521.63 38012.07 37137.95 37245.07 37030.84 37019.21 37417.94 37333.06 37323.69 370
tmp_tt20.25 34124.50 3447.49 3564.47 3798.70 37934.17 36725.16 3791.00 37432.43 37318.49 37139.37 3589.21 37521.64 37243.75 3714.57 371
test_method30.46 33929.60 34233.06 35417.99 3783.84 38013.62 36973.92 3192.79 37218.29 37453.41 36928.53 37343.25 37322.56 37135.27 37252.11 369
EGC-MVSNET74.79 26769.99 30189.19 6594.89 3987.00 1491.89 3586.28 2301.09 3732.23 37595.98 2381.87 11189.48 24279.76 11195.96 12891.10 203
testmvs5.91 3457.65 3480.72 3581.20 3800.37 38259.14 3580.67 3820.49 3761.11 3762.76 3750.94 3810.24 3771.02 3751.47 3741.55 373
test1236.27 3448.08 3470.84 3571.11 3810.57 38162.90 3520.82 3810.54 3751.07 3772.75 3761.26 3800.30 3761.04 3741.26 3751.66 372
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
cdsmvs_eth3d_5k20.81 34027.75 3430.00 3590.00 3820.00 3830.00 37085.44 2400.00 3770.00 37882.82 31181.46 1150.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas6.41 3438.55 3460.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37776.94 1610.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs-re6.65 3428.87 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37879.80 3370.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
MSC_two_6792asdad88.81 7191.55 13277.99 9491.01 14096.05 887.45 1998.17 3392.40 165
No_MVS88.81 7191.55 13277.99 9491.01 14096.05 887.45 1998.17 3392.40 165
eth-test20.00 382
eth-test0.00 382
OPU-MVS88.27 8691.89 11777.83 9890.47 5091.22 16681.12 12094.68 7574.48 16995.35 14992.29 172
save fliter93.75 6477.44 10486.31 12589.72 17570.80 207
test_0728_SECOND86.79 10494.25 4972.45 15190.54 4694.10 3895.88 1686.42 3497.97 4592.02 182
GSMVS83.88 300
sam_mvs146.11 32983.88 300
sam_mvs45.92 334
MTGPAbinary91.81 119
test_post178.85 2653.13 37345.19 34380.13 32658.11 298
test_post3.10 37445.43 33977.22 334
patchmatchnet-post81.71 32145.93 33387.01 271
MTMP90.66 4333.14 378
gm-plane-assit75.42 35244.97 36252.17 33772.36 36087.90 26354.10 320
test9_res80.83 10096.45 10890.57 218
agg_prior279.68 11396.16 12090.22 225
test_prior478.97 8484.59 147
test_prior86.32 11290.59 16071.99 15892.85 9194.17 9692.80 146
新几何281.72 222
旧先验191.97 11271.77 16081.78 27391.84 15173.92 18993.65 19983.61 306
无先验82.81 19785.62 23958.09 30691.41 19067.95 23484.48 294
原ACMM282.26 215
testdata286.43 28463.52 263
segment_acmp81.94 106
testdata179.62 25073.95 163
plane_prior793.45 7077.31 108
plane_prior692.61 9176.54 11774.84 178
plane_prior593.61 5895.22 5880.78 10195.83 13594.46 82
plane_prior492.95 119
plane_prior289.45 7479.44 98
plane_prior192.83 89
plane_prior76.42 12087.15 10975.94 14095.03 163
n20.00 383
nn0.00 383
door-mid74.45 316
test1191.46 126
door72.57 331
HQP5-MVS70.66 170
BP-MVS77.30 145
HQP3-MVS92.68 9794.47 181
HQP2-MVS72.10 211
NP-MVS91.95 11374.55 12990.17 201
ACMMP++_ref95.74 141
ACMMP++97.35 78
Test By Simon79.09 138