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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort by
APDe-MVS89.15 689.63 687.73 3094.49 2071.69 5893.83 493.96 1675.70 9291.06 1696.03 176.84 1597.03 1589.09 695.65 3294.47 31
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2393.63 2374.77 11292.29 795.97 274.28 3697.24 1188.58 1396.91 194.87 14
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
test072695.27 571.25 6393.60 694.11 877.33 5092.81 395.79 380.98 9
DVP-MVScopyleft89.60 390.35 387.33 4595.27 571.25 6393.49 992.73 6577.33 5092.12 995.78 480.98 997.40 789.08 796.41 1293.33 86
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_THIRD78.38 3592.12 995.78 481.46 797.40 789.42 496.57 794.67 24
DVP-MVS++90.23 191.01 187.89 2494.34 2971.25 6395.06 194.23 578.38 3592.78 495.74 682.45 397.49 389.42 496.68 294.95 8
test_one_060195.07 771.46 6194.14 778.27 3792.05 1195.74 680.83 11
SED-MVS90.08 290.85 287.77 2695.30 270.98 7093.57 794.06 1277.24 5293.10 195.72 882.99 197.44 589.07 996.63 494.88 12
test_241102_TWO94.06 1277.24 5292.78 495.72 881.26 897.44 589.07 996.58 694.26 41
DPE-MVScopyleft89.48 589.98 488.01 1494.80 1172.69 3291.59 4394.10 1075.90 8892.29 795.66 1081.67 697.38 987.44 2096.34 1593.95 54
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_241102_ONE95.30 270.98 7094.06 1277.17 5693.10 195.39 1182.99 197.27 10
MP-MVS-pluss87.67 2287.72 2287.54 3993.64 5072.04 5289.80 8493.50 2875.17 10386.34 4195.29 1270.86 6396.00 5388.78 1296.04 1694.58 27
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6789.69 16974.31 12289.16 1995.10 1375.65 2296.19 4587.07 2196.01 1794.79 19
SF-MVS88.46 1188.74 1187.64 3892.78 6971.95 5392.40 2394.74 275.71 9089.16 1995.10 1375.65 2296.19 4587.07 2196.01 1794.79 19
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5793.59 2576.27 8288.14 2695.09 1571.06 6296.67 2887.67 1696.37 1494.09 46
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7492.02 9479.45 2185.88 4394.80 1668.07 8896.21 4386.69 2495.34 3693.23 89
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18592.02 9479.45 2185.88 4394.80 1668.07 8896.21 4386.69 2495.34 3693.23 89
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2280.19 1488.10 2794.80 1673.76 4197.11 1387.51 1895.82 2494.90 11
Skip Steuart: Steuart Systems R&D Blog.
9.1488.26 1592.84 6891.52 4694.75 173.93 13288.57 2494.67 1975.57 2495.79 5986.77 2395.76 28
SR-MVS86.73 3986.67 4186.91 5294.11 4072.11 5192.37 2792.56 7374.50 11786.84 3794.65 2067.31 9795.77 6084.80 3792.85 7592.84 106
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4794.70 374.47 11988.86 2294.61 2175.23 2595.84 5886.62 2695.92 2194.78 21
test117286.20 5286.22 4986.12 7093.95 4269.89 9691.79 4292.28 8275.07 10486.40 4094.58 2265.00 12295.56 6584.34 4592.60 7892.90 104
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7184.45 7294.52 2369.09 8296.70 2684.37 4494.83 5094.03 49
ACMMPR87.44 2687.23 3188.08 1394.64 1373.59 1293.04 1293.20 3976.78 6884.66 6794.52 2368.81 8696.65 2984.53 4194.90 4594.00 52
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 4092.83 6173.01 15188.58 2394.52 2373.36 4296.49 3784.26 4795.01 4292.70 108
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
APD-MVS_3200maxsize85.97 5485.88 5686.22 6792.69 7269.53 10391.93 3792.99 4973.54 14185.94 4294.51 2665.80 11495.61 6383.04 6592.51 8093.53 81
CP-MVS87.11 3586.92 3787.68 3794.20 3673.86 893.98 392.82 6476.62 7383.68 8694.46 2767.93 9095.95 5684.20 5094.39 5993.23 89
SR-MVS-dyc-post85.77 5785.61 5986.23 6693.06 6270.63 8291.88 3892.27 8373.53 14285.69 4794.45 2865.00 12295.56 6582.75 6891.87 8892.50 115
RE-MVS-def85.48 6093.06 6270.63 8291.88 3892.27 8373.53 14285.69 4794.45 2863.87 12982.75 6891.87 8892.50 115
HFP-MVS87.58 2387.47 2587.94 1794.58 1673.54 1593.04 1293.24 3776.78 6884.91 5894.44 3070.78 6496.61 3284.53 4194.89 4693.66 68
#test#87.33 3187.13 3387.94 1794.58 1673.54 1592.34 2893.24 3775.23 10084.91 5894.44 3070.78 6496.61 3283.75 5694.89 4693.66 68
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3293.49 2974.75 11388.33 2594.43 3273.27 4497.02 1684.18 5194.84 4893.82 62
PGM-MVS86.68 4186.27 4887.90 2194.22 3573.38 1990.22 7593.04 4375.53 9483.86 8394.42 3367.87 9296.64 3082.70 7294.57 5593.66 68
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2292.65 7077.57 4383.84 8494.40 3472.24 5296.28 4185.65 2895.30 4093.62 76
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6685.24 5294.32 3571.76 5696.93 1885.53 2995.79 2594.32 38
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8872.45 4190.02 7894.37 471.76 16587.28 3494.27 3675.18 2696.08 4985.16 3095.77 2693.80 65
HPM-MVS++copyleft89.02 889.15 888.63 495.01 976.03 192.38 2692.85 6080.26 1387.78 3094.27 3675.89 2096.81 2287.45 1996.44 993.05 97
mPP-MVS86.67 4286.32 4787.72 3294.41 2473.55 1392.74 2092.22 8776.87 6582.81 9894.25 3866.44 10496.24 4282.88 6794.28 6293.38 83
DeepC-MVS79.81 287.08 3786.88 3987.69 3691.16 9272.32 4790.31 7293.94 1777.12 5882.82 9794.23 3972.13 5497.09 1484.83 3695.37 3593.65 73
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
XVS87.18 3486.91 3888.00 1594.42 2273.33 2092.78 1892.99 4979.14 2483.67 8794.17 4067.45 9596.60 3483.06 6394.50 5694.07 47
MSP-MVS89.51 489.91 588.30 994.28 3273.46 1892.90 1694.11 880.27 1291.35 1494.16 4178.35 1396.77 2389.59 394.22 6494.67 24
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
abl_685.23 6784.95 7186.07 7192.23 7970.48 8690.80 5992.08 9273.51 14485.26 5194.16 4162.75 14695.92 5782.46 7591.30 9791.81 138
DeepPCF-MVS80.84 188.10 1288.56 1286.73 5692.24 7869.03 11089.57 9093.39 3477.53 4789.79 1894.12 4378.98 1296.58 3685.66 2795.72 2994.58 27
HPM-MVS_fast85.35 6684.95 7186.57 6193.69 4870.58 8592.15 3591.62 11473.89 13382.67 10094.09 4462.60 14795.54 6880.93 8492.93 7393.57 78
ZD-MVS94.38 2772.22 4892.67 6770.98 18187.75 3194.07 4574.01 4096.70 2684.66 3994.84 48
CNVR-MVS88.93 989.13 988.33 794.77 1273.82 990.51 6493.00 4780.90 988.06 2894.06 4676.43 1796.84 2088.48 1495.99 1994.34 37
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5596.48 894.88 12
PC_three_145268.21 23692.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 8
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4193.19 4077.87 3890.32 1794.00 4874.83 2893.78 14587.63 1794.27 6393.65 73
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
GST-MVS87.42 2887.26 2987.89 2494.12 3972.97 2592.39 2593.43 3276.89 6484.68 6493.99 5070.67 6796.82 2184.18 5195.01 4293.90 57
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3393.33 3576.07 8583.81 8593.95 5169.77 7696.01 5285.15 3194.66 5294.32 38
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4892.35 8074.62 11688.90 2193.85 5275.75 2196.00 5387.80 1594.63 5395.04 6
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
ACMMPcopyleft85.89 5685.39 6287.38 4493.59 5172.63 3492.74 2093.18 4176.78 6880.73 12293.82 5364.33 12596.29 4082.67 7390.69 10293.23 89
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
test_prior386.73 3986.86 4086.33 6392.61 7469.59 10188.85 10992.97 5475.41 9684.91 5893.54 5474.28 3695.48 7083.31 5895.86 2293.91 55
test_prior288.85 10975.41 9684.91 5893.54 5474.28 3683.31 5895.86 22
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6294.05 1570.80 18387.59 3393.51 5677.57 1496.63 3183.31 5895.77 2694.72 23
VDDNet81.52 11780.67 12084.05 12890.44 10864.13 21289.73 8785.91 25471.11 17883.18 9193.48 5750.54 26893.49 16073.40 15088.25 13294.54 30
CDPH-MVS85.76 5885.29 6687.17 4893.49 5371.08 6888.58 12192.42 7868.32 23584.61 6893.48 5772.32 5196.15 4879.00 9695.43 3494.28 40
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5292.83 6181.50 685.79 4693.47 5973.02 4797.00 1784.90 3394.94 4494.10 45
3Dnovator+77.84 485.48 6284.47 7688.51 691.08 9373.49 1793.18 1193.78 2180.79 1076.66 18993.37 6060.40 19096.75 2577.20 11693.73 6895.29 3
DeepC-MVS_fast79.65 386.91 3886.62 4287.76 2993.52 5272.37 4491.26 4993.04 4376.62 7384.22 7793.36 6171.44 6096.76 2480.82 8695.33 3894.16 43
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
VDD-MVS83.01 9482.36 9584.96 9391.02 9566.40 16688.91 10688.11 21477.57 4384.39 7593.29 6252.19 24593.91 14077.05 11888.70 12694.57 29
UA-Net85.08 7184.96 7085.45 8092.07 8168.07 13789.78 8590.86 13882.48 284.60 6993.20 6369.35 7995.22 8571.39 16690.88 10193.07 96
agg_prior186.22 5186.09 5586.62 5992.85 6671.94 5488.59 12091.78 11068.96 22584.41 7393.18 6474.94 2794.93 9884.75 3895.33 3893.01 100
TEST993.26 5672.96 2688.75 11391.89 10368.44 23485.00 5693.10 6574.36 3595.41 76
train_agg86.43 4686.20 5087.13 4993.26 5672.96 2688.75 11391.89 10368.69 23085.00 5693.10 6574.43 3295.41 7684.97 3295.71 3093.02 99
test_893.13 5872.57 3688.68 11891.84 10768.69 23084.87 6293.10 6574.43 3295.16 87
LFMVS81.82 11081.23 11183.57 14391.89 8463.43 22889.84 8181.85 30577.04 6183.21 9093.10 6552.26 24493.43 16571.98 16189.95 11493.85 59
旧先验191.96 8265.79 18086.37 24893.08 6969.31 8192.74 7688.74 245
dcpmvs_285.63 6186.15 5384.06 12691.71 8664.94 19686.47 18991.87 10573.63 13786.60 3993.02 7076.57 1691.87 22483.36 5792.15 8495.35 1
testdata79.97 23990.90 9764.21 21084.71 26459.27 32385.40 4992.91 7162.02 16089.08 27868.95 19091.37 9586.63 292
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8293.82 1973.07 14984.86 6392.89 7276.22 1896.33 3984.89 3595.13 4194.40 34
Vis-MVSNetpermissive83.46 8482.80 9085.43 8190.25 11168.74 12090.30 7390.13 15776.33 8180.87 12192.89 7261.00 17994.20 12572.45 16090.97 9993.35 85
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
CPTT-MVS83.73 7883.33 8284.92 9693.28 5570.86 7792.09 3690.38 14768.75 22979.57 13392.83 7460.60 18693.04 18480.92 8591.56 9390.86 165
3Dnovator76.31 583.38 8782.31 9686.59 6087.94 19172.94 2990.64 6192.14 9177.21 5475.47 21492.83 7458.56 19794.72 11073.24 15392.71 7792.13 130
MSLP-MVS++85.43 6485.76 5884.45 11091.93 8370.24 8790.71 6092.86 5977.46 4984.22 7792.81 7667.16 9992.94 18680.36 9094.35 6190.16 189
test250677.30 21776.49 21479.74 24490.08 11552.02 34387.86 15063.10 37074.88 10980.16 12992.79 7738.29 34392.35 20468.74 19392.50 8194.86 15
ECVR-MVScopyleft79.61 15779.26 14980.67 22690.08 11554.69 32787.89 14877.44 33774.88 10980.27 12692.79 7748.96 28792.45 19868.55 19492.50 8194.86 15
test111179.43 16479.18 15280.15 23689.99 12053.31 34087.33 16277.05 34075.04 10580.23 12892.77 7948.97 28692.33 20668.87 19192.40 8394.81 18
MG-MVS83.41 8583.45 8083.28 15192.74 7162.28 24688.17 13889.50 17375.22 10181.49 11292.74 8066.75 10095.11 8972.85 15691.58 9292.45 118
patch_mono-283.65 8084.54 7580.99 21990.06 11965.83 17884.21 24688.74 20571.60 17185.01 5492.44 8174.51 3083.50 32582.15 7792.15 8493.64 75
casdiffmvs85.11 7085.14 6785.01 9187.20 21465.77 18187.75 15192.83 6177.84 3984.36 7692.38 8272.15 5393.93 13981.27 8290.48 10595.33 2
baseline84.93 7284.98 6984.80 10287.30 21265.39 18887.30 16392.88 5877.62 4184.04 8292.26 8371.81 5593.96 13381.31 8190.30 10795.03 7
CS-MVS86.61 4486.96 3685.56 7990.78 10266.54 16592.84 1793.30 3679.67 2084.55 7192.25 8471.46 5995.00 9784.25 4993.48 6995.15 5
QAPM80.88 12679.50 14285.03 9088.01 19068.97 11491.59 4392.00 9766.63 25175.15 22892.16 8557.70 20395.45 7263.52 23288.76 12590.66 171
IS-MVSNet83.15 8982.81 8984.18 12189.94 12263.30 23091.59 4388.46 21179.04 2879.49 13492.16 8565.10 11994.28 11967.71 20091.86 9094.95 8
112180.84 12879.77 13584.05 12893.11 6070.78 7984.66 23185.42 25857.37 33781.76 11192.02 8763.41 13394.12 12967.28 20592.93 7387.26 276
新几何183.42 14693.13 5870.71 8085.48 25757.43 33681.80 10891.98 8863.28 13592.27 20764.60 22992.99 7287.27 275
OpenMVScopyleft72.83 1079.77 15578.33 17084.09 12485.17 24269.91 9490.57 6390.97 13466.70 24772.17 26091.91 8954.70 22593.96 13361.81 25190.95 10088.41 253
PHI-MVS86.43 4686.17 5287.24 4690.88 9870.96 7292.27 3194.07 1172.45 15485.22 5391.90 9069.47 7896.42 3883.28 6195.94 2094.35 36
VNet82.21 10282.41 9381.62 20090.82 10060.93 26084.47 23789.78 16576.36 8084.07 8191.88 9164.71 12490.26 25870.68 17188.89 12293.66 68
DROMVSNet86.01 5386.38 4584.91 9789.31 14366.27 16992.32 2993.63 2379.37 2384.17 7991.88 9169.04 8595.43 7483.93 5493.77 6793.01 100
OPM-MVS83.50 8382.95 8785.14 8788.79 16470.95 7389.13 10191.52 11777.55 4680.96 12091.75 9360.71 18294.50 11579.67 9586.51 15589.97 205
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
XVG-OURS-SEG-HR80.81 13179.76 13683.96 13685.60 23668.78 11783.54 26090.50 14470.66 18876.71 18891.66 9460.69 18391.26 23976.94 12081.58 21091.83 136
EPNet83.72 7982.92 8886.14 6984.22 25769.48 10491.05 5585.27 25981.30 776.83 18491.65 9566.09 10995.56 6576.00 12893.85 6693.38 83
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
OMC-MVS82.69 9781.97 10484.85 9988.75 16667.42 14887.98 14290.87 13774.92 10879.72 13291.65 9562.19 15793.96 13375.26 13586.42 15693.16 94
test22291.50 8968.26 13384.16 24783.20 29154.63 34879.74 13191.63 9758.97 19591.42 9486.77 288
MVS_111021_HR85.14 6984.75 7386.32 6591.65 8772.70 3185.98 20190.33 15176.11 8482.08 10391.61 9871.36 6194.17 12881.02 8392.58 7992.08 131
原ACMM184.35 11593.01 6468.79 11692.44 7563.96 28581.09 11891.57 9966.06 11095.45 7267.19 20894.82 5188.81 242
LPG-MVS_test82.08 10481.27 11084.50 10889.23 14768.76 11890.22 7591.94 10175.37 9876.64 19091.51 10054.29 22894.91 10078.44 10383.78 18189.83 210
LGP-MVS_train84.50 10889.23 14768.76 11891.94 10175.37 9876.64 19091.51 10054.29 22894.91 10078.44 10383.78 18189.83 210
XVG-OURS80.41 14379.23 15083.97 13585.64 23569.02 11183.03 26890.39 14671.09 17977.63 16891.49 10254.62 22791.35 23775.71 12983.47 18891.54 143
alignmvs85.48 6285.32 6485.96 7489.51 13169.47 10589.74 8692.47 7476.17 8387.73 3291.46 10370.32 7093.78 14581.51 7988.95 12194.63 26
CANet86.45 4586.10 5487.51 4090.09 11470.94 7489.70 8892.59 7281.78 481.32 11391.43 10470.34 6997.23 1284.26 4793.36 7194.37 35
h-mvs3383.15 8982.19 9786.02 7390.56 10570.85 7888.15 14089.16 18576.02 8684.67 6591.39 10561.54 16595.50 6982.71 7075.48 28191.72 140
nrg03083.88 7683.53 7984.96 9386.77 22269.28 10990.46 6992.67 6774.79 11182.95 9391.33 10672.70 4893.09 18080.79 8879.28 23892.50 115
canonicalmvs85.91 5585.87 5786.04 7289.84 12469.44 10890.45 7093.00 4776.70 7288.01 2991.23 10773.28 4393.91 14081.50 8088.80 12494.77 22
DPM-MVS84.93 7284.29 7786.84 5390.20 11273.04 2487.12 16793.04 4369.80 20382.85 9691.22 10873.06 4696.02 5176.72 12394.63 5391.46 148
Anonymous20240521178.25 19277.01 20081.99 19491.03 9460.67 26584.77 22983.90 27770.65 18980.00 13091.20 10941.08 33391.43 23565.21 22385.26 16793.85 59
Anonymous2024052980.19 14978.89 15784.10 12390.60 10464.75 19988.95 10590.90 13665.97 25980.59 12391.17 11049.97 27393.73 15169.16 18882.70 20093.81 63
EPP-MVSNet83.40 8683.02 8684.57 10690.13 11364.47 20592.32 2990.73 13974.45 12179.35 13691.10 11169.05 8495.12 8872.78 15787.22 14494.13 44
TAPA-MVS73.13 979.15 17277.94 17782.79 17889.59 12762.99 23988.16 13991.51 11865.77 26077.14 18191.09 11260.91 18093.21 17050.26 32387.05 14692.17 129
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CSCG86.41 4886.19 5187.07 5092.91 6572.48 3890.81 5893.56 2673.95 13083.16 9291.07 11375.94 1995.19 8679.94 9494.38 6093.55 79
FIs82.07 10582.42 9281.04 21888.80 16358.34 28588.26 13593.49 2976.93 6378.47 15191.04 11469.92 7492.34 20569.87 18184.97 16992.44 119
MVS_111021_LR82.61 9982.11 9884.11 12288.82 16171.58 5985.15 22186.16 25174.69 11480.47 12591.04 11462.29 15490.55 25680.33 9190.08 11290.20 188
DP-MVS Recon83.11 9282.09 9986.15 6894.44 2170.92 7688.79 11192.20 8870.53 19079.17 13791.03 11664.12 12796.03 5068.39 19790.14 11091.50 145
HQP_MVS83.64 8183.14 8385.14 8790.08 11568.71 12291.25 5092.44 7579.12 2678.92 14191.00 11760.42 18895.38 7978.71 9986.32 15791.33 150
plane_prior491.00 117
FC-MVSNet-test81.52 11782.02 10280.03 23888.42 17855.97 32187.95 14493.42 3377.10 5977.38 17290.98 11969.96 7391.79 22568.46 19684.50 17492.33 120
Vis-MVSNet (Re-imp)78.36 19178.45 16478.07 27188.64 17051.78 34686.70 18279.63 32674.14 12875.11 22990.83 12061.29 17389.75 26658.10 28391.60 9192.69 110
114514_t80.68 13779.51 14184.20 12094.09 4167.27 15289.64 8991.11 13258.75 32874.08 24290.72 12158.10 19995.04 9469.70 18289.42 11990.30 185
PAPM_NR83.02 9382.41 9384.82 10092.47 7766.37 16787.93 14691.80 10873.82 13477.32 17490.66 12267.90 9194.90 10270.37 17489.48 11893.19 93
LS3D76.95 22374.82 23583.37 14990.45 10767.36 15189.15 10086.94 24061.87 30469.52 28990.61 12351.71 25694.53 11346.38 34386.71 15288.21 255
VPNet78.69 18378.66 16078.76 26088.31 18155.72 32384.45 24086.63 24476.79 6778.26 15590.55 12459.30 19389.70 26866.63 21277.05 25690.88 164
UniMVSNet_ETH3D79.10 17478.24 17281.70 19986.85 21960.24 27187.28 16488.79 19974.25 12576.84 18390.53 12549.48 27991.56 23167.98 19882.15 20493.29 87
ACMP74.13 681.51 11980.57 12184.36 11489.42 13468.69 12589.97 8091.50 12174.46 12075.04 23290.41 12653.82 23394.54 11277.56 11282.91 19589.86 209
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PCF-MVS73.52 780.38 14478.84 15885.01 9187.71 19968.99 11383.65 25591.46 12263.00 29177.77 16690.28 12766.10 10895.09 9361.40 25488.22 13390.94 163
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
NP-MVS89.62 12668.32 13190.24 128
HQP-MVS82.61 9982.02 10284.37 11389.33 13866.98 15689.17 9692.19 8976.41 7577.23 17790.23 12960.17 19195.11 8977.47 11385.99 16391.03 159
PS-MVSNAJss82.07 10581.31 10984.34 11686.51 22567.27 15289.27 9491.51 11871.75 16679.37 13590.22 13063.15 14094.27 12077.69 11182.36 20391.49 146
TSAR-MVS + GP.85.71 5985.33 6386.84 5391.34 9072.50 3789.07 10287.28 23476.41 7585.80 4590.22 13074.15 3995.37 8281.82 7891.88 8792.65 112
Regformer-186.41 4886.33 4686.64 5889.33 13870.93 7588.43 12391.39 12382.14 386.65 3890.09 13274.39 3495.01 9683.97 5390.63 10393.97 53
Regformer-286.63 4386.53 4386.95 5189.33 13871.24 6788.43 12392.05 9382.50 186.88 3690.09 13274.45 3195.61 6384.38 4390.63 10394.01 51
test_part182.78 9682.08 10084.89 9890.66 10366.97 15890.96 5692.93 5777.19 5580.53 12490.04 13463.44 13295.39 7876.04 12776.90 25892.31 122
Regformer-385.23 6785.07 6885.70 7688.95 15669.01 11288.29 13389.91 16380.95 885.01 5490.01 13572.45 5094.19 12682.50 7487.57 13693.90 57
Regformer-485.68 6085.45 6186.35 6288.95 15669.67 10088.29 13391.29 12581.73 585.36 5090.01 13572.62 4995.35 8383.28 6187.57 13694.03 49
CS-MVS-test86.26 5086.48 4485.60 7790.84 9966.60 16391.16 5393.56 2679.82 1884.57 7089.89 13770.67 6795.04 9484.30 4693.48 6995.16 4
TranMVSNet+NR-MVSNet80.84 12880.31 12782.42 18687.85 19362.33 24487.74 15291.33 12480.55 1177.99 16289.86 13865.23 11892.62 19267.05 21075.24 29192.30 123
diffmvs82.10 10381.88 10582.76 18183.00 28463.78 21883.68 25489.76 16672.94 15282.02 10489.85 13965.96 11390.79 25282.38 7687.30 14393.71 67
BH-RMVSNet79.61 15778.44 16583.14 15989.38 13765.93 17584.95 22687.15 23773.56 14078.19 15789.79 14056.67 21493.36 16659.53 26886.74 15190.13 191
GeoE81.71 11281.01 11683.80 13989.51 13164.45 20688.97 10488.73 20671.27 17678.63 14789.76 14166.32 10693.20 17269.89 18086.02 16293.74 66
AdaColmapbinary80.58 14179.42 14384.06 12693.09 6168.91 11589.36 9288.97 19569.27 21375.70 21189.69 14257.20 21195.77 6063.06 23888.41 13187.50 270
ACMM73.20 880.78 13679.84 13483.58 14289.31 14368.37 13089.99 7991.60 11570.28 19477.25 17589.66 14353.37 23693.53 15974.24 14182.85 19688.85 240
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA78.08 19876.79 20781.97 19590.40 10971.07 6987.59 15584.55 26766.03 25872.38 25889.64 14457.56 20586.04 30759.61 26783.35 18988.79 243
test_yl81.17 12280.47 12483.24 15489.13 15163.62 21986.21 19689.95 16172.43 15781.78 10989.61 14557.50 20693.58 15470.75 16986.90 14892.52 113
DCV-MVSNet81.17 12280.47 12483.24 15489.13 15163.62 21986.21 19689.95 16172.43 15781.78 10989.61 14557.50 20693.58 15470.75 16986.90 14892.52 113
EI-MVSNet-Vis-set84.19 7583.81 7885.31 8288.18 18367.85 14087.66 15389.73 16880.05 1682.95 9389.59 14770.74 6694.82 10680.66 8984.72 17293.28 88
PAPR81.66 11580.89 11883.99 13490.27 11064.00 21386.76 18191.77 11268.84 22877.13 18289.50 14867.63 9394.88 10467.55 20288.52 12993.09 95
jajsoiax79.29 16977.96 17683.27 15284.68 25166.57 16489.25 9590.16 15669.20 21775.46 21689.49 14945.75 30893.13 17876.84 12180.80 21890.11 193
MVSFormer82.85 9582.05 10185.24 8587.35 20770.21 8890.50 6590.38 14768.55 23281.32 11389.47 15061.68 16293.46 16378.98 9790.26 10892.05 132
jason81.39 12080.29 12884.70 10486.63 22469.90 9585.95 20286.77 24263.24 28781.07 11989.47 15061.08 17892.15 21378.33 10690.07 11392.05 132
jason: jason.
mvs_tets79.13 17377.77 18483.22 15684.70 25066.37 16789.17 9690.19 15569.38 21175.40 21989.46 15244.17 31693.15 17676.78 12280.70 22090.14 190
UGNet80.83 13079.59 14084.54 10788.04 18868.09 13689.42 9188.16 21376.95 6276.22 19989.46 15249.30 28293.94 13668.48 19590.31 10691.60 141
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
VPA-MVSNet80.60 13980.55 12280.76 22488.07 18760.80 26386.86 17591.58 11675.67 9380.24 12789.45 15463.34 13490.25 25970.51 17379.22 23991.23 153
MVS_Test83.15 8983.06 8583.41 14886.86 21863.21 23286.11 19992.00 9774.31 12282.87 9589.44 15570.03 7293.21 17077.39 11588.50 13093.81 63
EI-MVSNet-UG-set83.81 7783.38 8185.09 8987.87 19267.53 14687.44 15989.66 17079.74 1982.23 10289.41 15670.24 7194.74 10979.95 9383.92 18092.99 102
RPSCF73.23 26571.46 26678.54 26482.50 29659.85 27382.18 27482.84 29658.96 32571.15 27089.41 15645.48 31084.77 31758.82 27671.83 31991.02 161
RRT_MVS79.88 15478.38 16784.38 11285.42 23970.60 8488.71 11788.75 20472.30 15978.83 14389.14 15844.44 31492.18 21278.50 10279.33 23790.35 183
UniMVSNet_NR-MVSNet81.88 10881.54 10882.92 17088.46 17663.46 22687.13 16692.37 7980.19 1478.38 15289.14 15871.66 5893.05 18270.05 17776.46 26692.25 125
tttt051779.40 16677.91 17883.90 13888.10 18663.84 21688.37 13084.05 27571.45 17476.78 18689.12 16049.93 27694.89 10370.18 17683.18 19292.96 103
DU-MVS81.12 12480.52 12382.90 17187.80 19563.46 22687.02 17091.87 10579.01 2978.38 15289.07 16165.02 12093.05 18270.05 17776.46 26692.20 127
NR-MVSNet80.23 14779.38 14582.78 17987.80 19563.34 22986.31 19391.09 13379.01 2972.17 26089.07 16167.20 9892.81 19166.08 21775.65 27792.20 127
DELS-MVS85.41 6585.30 6585.77 7588.49 17467.93 13985.52 21893.44 3178.70 3183.63 8989.03 16374.57 2995.71 6280.26 9294.04 6593.66 68
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
baseline176.98 22276.75 21077.66 27688.13 18455.66 32485.12 22281.89 30373.04 15076.79 18588.90 16462.43 15287.78 29663.30 23671.18 32389.55 219
DP-MVS76.78 22574.57 23783.42 14693.29 5469.46 10788.55 12283.70 27963.98 28470.20 27788.89 16554.01 23294.80 10746.66 34081.88 20886.01 302
ab-mvs79.51 16078.97 15681.14 21588.46 17660.91 26183.84 25289.24 18270.36 19279.03 13888.87 16663.23 13890.21 26065.12 22482.57 20192.28 124
PEN-MVS77.73 20777.69 18877.84 27387.07 21753.91 33487.91 14791.18 12977.56 4573.14 24988.82 16761.23 17489.17 27659.95 26472.37 31490.43 180
test_djsdf80.30 14679.32 14783.27 15283.98 26265.37 18990.50 6590.38 14768.55 23276.19 20088.70 16856.44 21593.46 16378.98 9780.14 22890.97 162
PAPM77.68 21076.40 21781.51 20387.29 21361.85 25183.78 25389.59 17164.74 27271.23 26888.70 16862.59 14893.66 15352.66 31087.03 14789.01 232
DTE-MVSNet76.99 22176.80 20677.54 28086.24 22753.06 34287.52 15690.66 14077.08 6072.50 25588.67 17060.48 18789.52 27057.33 29070.74 32590.05 200
PS-CasMVS78.01 20278.09 17477.77 27587.71 19954.39 33188.02 14191.22 12777.50 4873.26 24788.64 17160.73 18188.41 28961.88 24973.88 30390.53 177
cdsmvs_eth3d_5k19.96 34126.61 3430.00 3610.00 3840.00 3850.00 37289.26 1810.00 3790.00 38088.61 17261.62 1640.00 3800.00 3780.00 3780.00 376
lupinMVS81.39 12080.27 12984.76 10387.35 20770.21 8885.55 21486.41 24662.85 29481.32 11388.61 17261.68 16292.24 21078.41 10590.26 10891.83 136
F-COLMAP76.38 23374.33 24282.50 18589.28 14566.95 16088.41 12689.03 19064.05 28266.83 31188.61 17246.78 29892.89 18757.48 28778.55 24087.67 264
mvs_anonymous79.42 16579.11 15380.34 23284.45 25457.97 29182.59 27087.62 22767.40 24276.17 20388.56 17568.47 8789.59 26970.65 17286.05 16193.47 82
CP-MVSNet78.22 19378.34 16977.84 27387.83 19454.54 32987.94 14591.17 13077.65 4073.48 24588.49 17662.24 15688.43 28862.19 24574.07 29990.55 176
PVSNet_Blended_VisFu82.62 9881.83 10684.96 9390.80 10169.76 9888.74 11591.70 11369.39 21078.96 13988.46 17765.47 11694.87 10574.42 13888.57 12790.24 187
CANet_DTU80.61 13879.87 13382.83 17385.60 23663.17 23587.36 16088.65 20776.37 7975.88 20888.44 17853.51 23593.07 18173.30 15189.74 11692.25 125
PLCcopyleft70.83 1178.05 20076.37 21883.08 16291.88 8567.80 14188.19 13789.46 17464.33 27869.87 28688.38 17953.66 23493.58 15458.86 27582.73 19887.86 261
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
WR-MVS79.49 16179.22 15180.27 23488.79 16458.35 28485.06 22388.61 20978.56 3277.65 16788.34 18063.81 13190.66 25564.98 22677.22 25491.80 139
XXY-MVS75.41 24575.56 22374.96 30383.59 26857.82 29580.59 29083.87 27866.54 25274.93 23488.31 18163.24 13780.09 34062.16 24676.85 26186.97 284
Effi-MVS+83.62 8283.08 8485.24 8588.38 17967.45 14788.89 10789.15 18675.50 9582.27 10188.28 18269.61 7794.45 11677.81 11087.84 13493.84 61
API-MVS81.99 10781.23 11184.26 11990.94 9670.18 9391.10 5489.32 17771.51 17378.66 14688.28 18265.26 11795.10 9264.74 22891.23 9887.51 269
thisisatest053079.40 16677.76 18584.31 11787.69 20165.10 19487.36 16084.26 27370.04 19777.42 17188.26 18449.94 27494.79 10870.20 17584.70 17393.03 98
hse-mvs281.72 11180.94 11784.07 12588.72 16767.68 14485.87 20587.26 23576.02 8684.67 6588.22 18561.54 16593.48 16182.71 7073.44 30891.06 157
xiu_mvs_v1_base_debu80.80 13379.72 13784.03 13187.35 20770.19 9085.56 21188.77 20069.06 22181.83 10588.16 18650.91 26292.85 18878.29 10787.56 13889.06 227
xiu_mvs_v1_base80.80 13379.72 13784.03 13187.35 20770.19 9085.56 21188.77 20069.06 22181.83 10588.16 18650.91 26292.85 18878.29 10787.56 13889.06 227
xiu_mvs_v1_base_debi80.80 13379.72 13784.03 13187.35 20770.19 9085.56 21188.77 20069.06 22181.83 10588.16 18650.91 26292.85 18878.29 10787.56 13889.06 227
UniMVSNet (Re)81.60 11681.11 11383.09 16188.38 17964.41 20787.60 15493.02 4678.42 3478.56 14888.16 18669.78 7593.26 16969.58 18476.49 26591.60 141
AUN-MVS79.21 17177.60 19084.05 12888.71 16867.61 14585.84 20787.26 23569.08 22077.23 17788.14 19053.20 23893.47 16275.50 13473.45 30791.06 157
Anonymous2023121178.97 17877.69 18882.81 17590.54 10664.29 20990.11 7791.51 11865.01 27076.16 20488.13 19150.56 26793.03 18569.68 18377.56 25191.11 156
pm-mvs177.25 21876.68 21278.93 25884.22 25758.62 28386.41 19088.36 21271.37 17573.31 24688.01 19261.22 17589.15 27764.24 23073.01 31189.03 231
LTVRE_ROB69.57 1376.25 23474.54 23981.41 20588.60 17164.38 20879.24 30389.12 18970.76 18669.79 28887.86 19349.09 28493.20 17256.21 29880.16 22686.65 291
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
WTY-MVS75.65 24175.68 22275.57 29786.40 22656.82 30777.92 31882.40 29965.10 26776.18 20187.72 19463.13 14380.90 33760.31 26281.96 20689.00 234
TAMVS78.89 18077.51 19283.03 16587.80 19567.79 14284.72 23085.05 26267.63 23876.75 18787.70 19562.25 15590.82 25158.53 27987.13 14590.49 178
BH-untuned79.47 16278.60 16182.05 19289.19 14965.91 17686.07 20088.52 21072.18 16075.42 21887.69 19661.15 17693.54 15860.38 26186.83 15086.70 290
COLMAP_ROBcopyleft66.92 1773.01 26770.41 27880.81 22387.13 21665.63 18288.30 13284.19 27462.96 29263.80 33587.69 19638.04 34492.56 19546.66 34074.91 29384.24 321
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
OurMVSNet-221017-074.26 25272.42 25979.80 24383.76 26659.59 27685.92 20486.64 24366.39 25366.96 30887.58 19839.46 33791.60 22965.76 22069.27 32988.22 254
Baseline_NR-MVSNet78.15 19778.33 17077.61 27885.79 23256.21 31986.78 17985.76 25573.60 13977.93 16387.57 19965.02 12088.99 27967.14 20975.33 28787.63 265
WR-MVS_H78.51 18778.49 16378.56 26388.02 18956.38 31688.43 12392.67 6777.14 5773.89 24387.55 20066.25 10789.24 27558.92 27473.55 30690.06 199
EI-MVSNet80.52 14279.98 13182.12 18984.28 25563.19 23486.41 19088.95 19674.18 12778.69 14487.54 20166.62 10192.43 19972.57 15980.57 22290.74 169
CVMVSNet72.99 26872.58 25774.25 31084.28 25550.85 35286.41 19083.45 28644.56 35873.23 24887.54 20149.38 28085.70 30965.90 21878.44 24386.19 297
ACMH+68.96 1476.01 23774.01 24482.03 19388.60 17165.31 19088.86 10887.55 22870.25 19567.75 30087.47 20341.27 33193.19 17458.37 28075.94 27487.60 266
RRT_test8_iter0578.38 19077.40 19381.34 20986.00 23058.86 28086.55 18791.26 12672.13 16375.91 20687.42 20444.97 31193.73 15177.02 11975.30 28891.45 149
TransMVSNet (Re)75.39 24674.56 23877.86 27285.50 23857.10 30486.78 17986.09 25372.17 16171.53 26687.34 20563.01 14489.31 27456.84 29461.83 34887.17 278
GBi-Net78.40 18877.40 19381.40 20687.60 20263.01 23688.39 12789.28 17871.63 16875.34 22187.28 20654.80 22191.11 24262.72 23979.57 23190.09 195
test178.40 18877.40 19381.40 20687.60 20263.01 23688.39 12789.28 17871.63 16875.34 22187.28 20654.80 22191.11 24262.72 23979.57 23190.09 195
FMVSNet278.20 19577.21 19781.20 21387.60 20262.89 24087.47 15889.02 19171.63 16875.29 22587.28 20654.80 22191.10 24562.38 24379.38 23589.61 217
FMVSNet177.44 21376.12 22081.40 20686.81 22163.01 23688.39 12789.28 17870.49 19174.39 23987.28 20649.06 28591.11 24260.91 25878.52 24190.09 195
v2v48280.23 14779.29 14883.05 16483.62 26764.14 21187.04 16989.97 16073.61 13878.18 15887.22 21061.10 17793.82 14376.11 12576.78 26391.18 154
ITE_SJBPF78.22 26881.77 30660.57 26683.30 28769.25 21467.54 30287.20 21136.33 34987.28 30054.34 30374.62 29686.80 287
anonymousdsp78.60 18577.15 19882.98 16880.51 32567.08 15487.24 16589.53 17265.66 26275.16 22787.19 21252.52 23992.25 20977.17 11779.34 23689.61 217
MVSTER79.01 17677.88 18082.38 18783.07 28164.80 19884.08 25188.95 19669.01 22478.69 14487.17 21354.70 22592.43 19974.69 13780.57 22289.89 208
thres100view90076.50 22875.55 22479.33 25289.52 13056.99 30585.83 20883.23 28973.94 13176.32 19787.12 21451.89 25391.95 21948.33 33183.75 18389.07 225
thres600view776.50 22875.44 22679.68 24689.40 13557.16 30285.53 21683.23 28973.79 13576.26 19887.09 21551.89 25391.89 22248.05 33683.72 18690.00 201
XVG-ACMP-BASELINE76.11 23674.27 24381.62 20083.20 27764.67 20083.60 25889.75 16769.75 20571.85 26387.09 21532.78 35692.11 21469.99 17980.43 22488.09 256
HY-MVS69.67 1277.95 20377.15 19880.36 23187.57 20660.21 27283.37 26287.78 22566.11 25575.37 22087.06 21763.27 13690.48 25761.38 25582.43 20290.40 182
CHOSEN 1792x268877.63 21175.69 22183.44 14589.98 12168.58 12878.70 31087.50 23056.38 34275.80 21086.84 21858.67 19691.40 23661.58 25385.75 16690.34 184
v879.97 15379.02 15582.80 17684.09 25964.50 20487.96 14390.29 15474.13 12975.24 22686.81 21962.88 14593.89 14274.39 13975.40 28590.00 201
AllTest70.96 28168.09 29379.58 24985.15 24363.62 21984.58 23679.83 32462.31 30060.32 34586.73 22032.02 35788.96 28250.28 32171.57 32186.15 298
TestCases79.58 24985.15 24363.62 21979.83 32462.31 30060.32 34586.73 22032.02 35788.96 28250.28 32171.57 32186.15 298
mvs-test180.88 12679.40 14485.29 8385.13 24569.75 9989.28 9388.10 21574.99 10676.44 19586.72 22257.27 20994.26 12473.53 14683.18 19291.87 135
LCM-MVSNet-Re77.05 22076.94 20377.36 28187.20 21451.60 34780.06 29580.46 31875.20 10267.69 30186.72 22262.48 15088.98 28063.44 23489.25 12091.51 144
1112_ss77.40 21576.43 21680.32 23389.11 15560.41 27083.65 25587.72 22662.13 30273.05 25086.72 22262.58 14989.97 26362.11 24880.80 21890.59 175
ab-mvs-re7.23 3449.64 3470.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38086.72 2220.00 3840.00 3800.00 3780.00 3780.00 376
IterMVS-LS80.06 15079.38 14582.11 19085.89 23163.20 23386.79 17889.34 17674.19 12675.45 21786.72 22266.62 10192.39 20172.58 15876.86 26090.75 168
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH67.68 1675.89 23873.93 24581.77 19888.71 16866.61 16288.62 11989.01 19269.81 20266.78 31286.70 22741.95 33091.51 23455.64 29978.14 24687.17 278
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Test_1112_low_res76.40 23275.44 22679.27 25389.28 14558.09 28781.69 27987.07 23859.53 32172.48 25686.67 22861.30 17289.33 27360.81 26080.15 22790.41 181
FMVSNet377.88 20576.85 20580.97 22086.84 22062.36 24386.52 18888.77 20071.13 17775.34 22186.66 22954.07 23191.10 24562.72 23979.57 23189.45 220
pmmvs674.69 24973.39 25078.61 26281.38 31357.48 30086.64 18387.95 22064.99 27170.18 27886.61 23050.43 26989.52 27062.12 24770.18 32788.83 241
ET-MVSNet_ETH3D78.63 18476.63 21384.64 10586.73 22369.47 10585.01 22484.61 26669.54 20866.51 31786.59 23150.16 27191.75 22676.26 12484.24 17892.69 110
testgi66.67 31066.53 30867.08 34175.62 35341.69 36875.93 32576.50 34266.11 25565.20 32786.59 23135.72 35174.71 36043.71 35073.38 30984.84 315
CLD-MVS82.31 10181.65 10784.29 11888.47 17567.73 14385.81 20992.35 8075.78 8978.33 15486.58 23364.01 12894.35 11776.05 12687.48 14190.79 166
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
v1079.74 15678.67 15982.97 16984.06 26064.95 19587.88 14990.62 14173.11 14875.11 22986.56 23461.46 16894.05 13273.68 14475.55 27989.90 207
CDS-MVSNet79.07 17577.70 18783.17 15887.60 20268.23 13484.40 24386.20 25067.49 24176.36 19686.54 23561.54 16590.79 25261.86 25087.33 14290.49 178
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
xiu_mvs_v2_base81.69 11381.05 11483.60 14189.15 15068.03 13884.46 23990.02 15970.67 18781.30 11686.53 23663.17 13994.19 12675.60 13288.54 12888.57 249
TR-MVS77.44 21376.18 21981.20 21388.24 18263.24 23184.61 23586.40 24767.55 24077.81 16486.48 23754.10 23093.15 17657.75 28682.72 19987.20 277
EIA-MVS83.31 8882.80 9084.82 10089.59 12765.59 18388.21 13692.68 6674.66 11578.96 13986.42 23869.06 8395.26 8475.54 13390.09 11193.62 76
tfpn200view976.42 23175.37 23079.55 25189.13 15157.65 29785.17 21983.60 28073.41 14576.45 19286.39 23952.12 24691.95 21948.33 33183.75 18389.07 225
thres40076.50 22875.37 23079.86 24189.13 15157.65 29785.17 21983.60 28073.41 14576.45 19286.39 23952.12 24691.95 21948.33 33183.75 18390.00 201
v7n78.97 17877.58 19183.14 15983.45 27165.51 18488.32 13191.21 12873.69 13672.41 25786.32 24157.93 20093.81 14469.18 18775.65 27790.11 193
MAR-MVS81.84 10980.70 11985.27 8491.32 9171.53 6089.82 8290.92 13569.77 20478.50 14986.21 24262.36 15394.52 11465.36 22292.05 8689.77 213
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
v114480.03 15179.03 15483.01 16683.78 26564.51 20287.11 16890.57 14371.96 16478.08 16186.20 24361.41 16993.94 13674.93 13677.23 25390.60 174
V4279.38 16878.24 17282.83 17381.10 31965.50 18585.55 21489.82 16471.57 17278.21 15686.12 24460.66 18493.18 17575.64 13075.46 28389.81 212
PVSNet_BlendedMVS80.60 13980.02 13082.36 18888.85 15865.40 18686.16 19892.00 9769.34 21278.11 15986.09 24566.02 11194.27 12071.52 16382.06 20587.39 271
v119279.59 15978.43 16683.07 16383.55 26964.52 20186.93 17390.58 14270.83 18277.78 16585.90 24659.15 19493.94 13673.96 14377.19 25590.76 167
SixPastTwentyTwo73.37 26171.26 27179.70 24585.08 24757.89 29385.57 21083.56 28271.03 18065.66 32185.88 24742.10 32892.57 19459.11 27263.34 34688.65 247
EPNet_dtu75.46 24374.86 23477.23 28582.57 29554.60 32886.89 17483.09 29371.64 16766.25 31985.86 24855.99 21688.04 29354.92 30186.55 15489.05 230
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
sss73.60 25973.64 24973.51 31482.80 28955.01 32676.12 32481.69 30662.47 29974.68 23785.85 24957.32 20878.11 34760.86 25980.93 21587.39 271
ETV-MVS84.90 7484.67 7485.59 7889.39 13668.66 12688.74 11592.64 7179.97 1784.10 8085.71 25069.32 8095.38 7980.82 8691.37 9592.72 107
v124078.99 17777.78 18382.64 18283.21 27663.54 22386.62 18490.30 15369.74 20777.33 17385.68 25157.04 21293.76 14873.13 15476.92 25790.62 172
v14419279.47 16278.37 16882.78 17983.35 27263.96 21486.96 17190.36 15069.99 19877.50 16985.67 25260.66 18493.77 14774.27 14076.58 26490.62 172
tfpnnormal74.39 25073.16 25378.08 27086.10 22958.05 28884.65 23487.53 22970.32 19371.22 26985.63 25354.97 22089.86 26443.03 35275.02 29286.32 294
PS-MVSNAJ81.69 11381.02 11583.70 14089.51 13168.21 13584.28 24590.09 15870.79 18481.26 11785.62 25463.15 14094.29 11875.62 13188.87 12388.59 248
v192192079.22 17078.03 17582.80 17683.30 27463.94 21586.80 17790.33 15169.91 20177.48 17085.53 25558.44 19893.75 14973.60 14576.85 26190.71 170
test_040272.79 27070.44 27779.84 24288.13 18465.99 17385.93 20384.29 27165.57 26367.40 30585.49 25646.92 29792.61 19335.88 36174.38 29880.94 345
v14878.72 18277.80 18281.47 20482.73 29161.96 25086.30 19488.08 21773.26 14776.18 20185.47 25762.46 15192.36 20371.92 16273.82 30490.09 195
USDC70.33 28768.37 28876.21 29280.60 32356.23 31879.19 30586.49 24560.89 30961.29 34285.47 25731.78 35989.47 27253.37 30776.21 27282.94 336
MVP-Stereo76.12 23574.46 24181.13 21685.37 24069.79 9784.42 24287.95 22065.03 26967.46 30385.33 25953.28 23791.73 22858.01 28483.27 19081.85 340
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MVS78.19 19676.99 20281.78 19785.66 23466.99 15584.66 23190.47 14555.08 34772.02 26285.27 26063.83 13094.11 13166.10 21689.80 11584.24 321
DIV-MVS_self_test77.72 20876.76 20880.58 22782.48 29860.48 26883.09 26587.86 22369.22 21574.38 24085.24 26162.10 15891.53 23271.09 16775.40 28589.74 214
cl____77.72 20876.76 20880.58 22782.49 29760.48 26883.09 26587.87 22269.22 21574.38 24085.22 26262.10 15891.53 23271.09 16775.41 28489.73 215
HyFIR lowres test77.53 21275.40 22883.94 13789.59 12766.62 16180.36 29288.64 20856.29 34376.45 19285.17 26357.64 20493.28 16861.34 25683.10 19491.91 134
pmmvs474.03 25671.91 26280.39 23081.96 30468.32 13181.45 28282.14 30159.32 32269.87 28685.13 26452.40 24288.13 29260.21 26374.74 29584.73 317
TDRefinement67.49 30464.34 31376.92 28773.47 36261.07 25984.86 22882.98 29459.77 31858.30 35185.13 26426.06 36287.89 29447.92 33760.59 35281.81 341
Fast-Effi-MVS+80.81 13179.92 13283.47 14488.85 15864.51 20285.53 21689.39 17570.79 18478.49 15085.06 26667.54 9493.58 15467.03 21186.58 15392.32 121
PVSNet_Blended80.98 12580.34 12682.90 17188.85 15865.40 18684.43 24192.00 9767.62 23978.11 15985.05 26766.02 11194.27 12071.52 16389.50 11789.01 232
CMPMVSbinary51.72 2170.19 28968.16 29176.28 29173.15 36457.55 29979.47 30183.92 27648.02 35756.48 35684.81 26843.13 32086.42 30562.67 24281.81 20984.89 314
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
EU-MVSNet68.53 30167.61 30171.31 32778.51 34347.01 36184.47 23784.27 27242.27 35966.44 31884.79 26940.44 33583.76 32258.76 27768.54 33483.17 330
BH-w/o78.21 19477.33 19680.84 22288.81 16265.13 19384.87 22787.85 22469.75 20574.52 23884.74 27061.34 17193.11 17958.24 28285.84 16584.27 320
pmmvs571.55 27770.20 28075.61 29677.83 34456.39 31581.74 27880.89 31057.76 33367.46 30384.49 27149.26 28385.32 31357.08 29275.29 28985.11 313
thres20075.55 24274.47 24078.82 25987.78 19857.85 29483.07 26783.51 28372.44 15675.84 20984.42 27252.08 24891.75 22647.41 33883.64 18786.86 286
eth_miper_zixun_eth77.92 20476.69 21181.61 20283.00 28461.98 24983.15 26489.20 18469.52 20974.86 23584.35 27361.76 16192.56 19571.50 16572.89 31290.28 186
c3_l78.75 18177.91 17881.26 21182.89 28861.56 25584.09 25089.13 18869.97 19975.56 21284.29 27466.36 10592.09 21573.47 14975.48 28190.12 192
Fast-Effi-MVS+-dtu78.02 20176.49 21482.62 18383.16 28066.96 15986.94 17287.45 23272.45 15471.49 26784.17 27554.79 22491.58 23067.61 20180.31 22589.30 223
IterMVS-SCA-FT75.43 24473.87 24780.11 23782.69 29264.85 19781.57 28183.47 28569.16 21870.49 27484.15 27651.95 25188.15 29169.23 18672.14 31787.34 273
131476.53 22775.30 23280.21 23583.93 26362.32 24584.66 23188.81 19860.23 31470.16 28084.07 27755.30 21990.73 25467.37 20483.21 19187.59 268
cl2278.07 19977.01 20081.23 21282.37 30061.83 25283.55 25987.98 21968.96 22575.06 23183.87 27861.40 17091.88 22373.53 14676.39 26889.98 204
EG-PatchMatch MVS74.04 25571.82 26480.71 22584.92 24867.42 14885.86 20688.08 21766.04 25764.22 33183.85 27935.10 35292.56 19557.44 28880.83 21782.16 339
thisisatest051577.33 21675.38 22983.18 15785.27 24163.80 21782.11 27583.27 28865.06 26875.91 20683.84 28049.54 27894.27 12067.24 20786.19 15991.48 147
test20.0367.45 30566.95 30668.94 33475.48 35444.84 36477.50 31977.67 33466.66 24863.01 33783.80 28147.02 29678.40 34542.53 35468.86 33383.58 327
miper_ehance_all_eth78.59 18677.76 18581.08 21782.66 29361.56 25583.65 25589.15 18668.87 22775.55 21383.79 28266.49 10392.03 21673.25 15276.39 26889.64 216
MSDG73.36 26370.99 27280.49 22984.51 25365.80 17980.71 28886.13 25265.70 26165.46 32283.74 28344.60 31290.91 25051.13 31676.89 25984.74 316
IterMVS74.29 25172.94 25578.35 26781.53 31063.49 22581.58 28082.49 29868.06 23769.99 28383.69 28451.66 25785.54 31065.85 21971.64 32086.01 302
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
tpm72.37 27471.71 26574.35 30982.19 30252.00 34479.22 30477.29 33864.56 27472.95 25183.68 28551.35 25883.26 32858.33 28175.80 27587.81 262
Effi-MVS+-dtu80.03 15178.57 16284.42 11185.13 24568.74 12088.77 11288.10 21574.99 10674.97 23383.49 28657.27 20993.36 16673.53 14680.88 21691.18 154
baseline275.70 24073.83 24881.30 21083.26 27561.79 25382.57 27180.65 31466.81 24466.88 30983.42 28757.86 20292.19 21163.47 23379.57 23189.91 206
bset_n11_16_dypcd77.12 21975.47 22582.06 19181.12 31865.99 17381.37 28483.20 29169.94 20076.09 20583.38 28847.75 29292.26 20878.51 10177.91 24787.95 257
TinyColmap67.30 30764.81 31174.76 30681.92 30556.68 31180.29 29481.49 30860.33 31256.27 35783.22 28924.77 36387.66 29745.52 34669.47 32879.95 349
CostFormer75.24 24773.90 24679.27 25382.65 29458.27 28680.80 28582.73 29761.57 30575.33 22483.13 29055.52 21791.07 24864.98 22678.34 24588.45 251
miper_lstm_enhance74.11 25473.11 25477.13 28680.11 32859.62 27572.23 34086.92 24166.76 24670.40 27582.92 29156.93 21382.92 32969.06 18972.63 31388.87 239
GA-MVS76.87 22475.17 23381.97 19582.75 29062.58 24181.44 28386.35 24972.16 16274.74 23682.89 29246.20 30392.02 21768.85 19281.09 21491.30 152
K. test v371.19 27968.51 28779.21 25583.04 28357.78 29684.35 24476.91 34172.90 15362.99 33882.86 29339.27 33891.09 24761.65 25252.66 36088.75 244
MS-PatchMatch73.83 25772.67 25677.30 28383.87 26466.02 17281.82 27684.66 26561.37 30868.61 29682.82 29447.29 29488.21 29059.27 26984.32 17777.68 354
lessismore_v078.97 25781.01 32057.15 30365.99 36561.16 34382.82 29439.12 33991.34 23859.67 26646.92 36588.43 252
D2MVS74.82 24873.21 25279.64 24879.81 33262.56 24280.34 29387.35 23364.37 27768.86 29382.66 29646.37 30090.10 26267.91 19981.24 21386.25 295
Anonymous2023120668.60 29967.80 29871.02 32880.23 32750.75 35378.30 31480.47 31756.79 34066.11 32082.63 29746.35 30178.95 34343.62 35175.70 27683.36 329
MIMVSNet70.69 28369.30 28274.88 30484.52 25256.35 31775.87 32879.42 32764.59 27367.76 29982.41 29841.10 33281.54 33446.64 34281.34 21186.75 289
OpenMVS_ROBcopyleft64.09 1970.56 28568.19 29077.65 27780.26 32659.41 27885.01 22482.96 29558.76 32765.43 32382.33 29937.63 34691.23 24145.34 34876.03 27382.32 337
miper_enhance_ethall77.87 20676.86 20480.92 22181.65 30761.38 25782.68 26988.98 19365.52 26475.47 21482.30 30065.76 11592.00 21872.95 15576.39 26889.39 221
test0.0.03 168.00 30367.69 30068.90 33577.55 34547.43 35975.70 32972.95 35366.66 24866.56 31382.29 30148.06 29075.87 35644.97 34974.51 29783.41 328
PVSNet64.34 1872.08 27670.87 27575.69 29586.21 22856.44 31474.37 33680.73 31362.06 30370.17 27982.23 30242.86 32283.31 32754.77 30284.45 17687.32 274
MIMVSNet168.58 30066.78 30773.98 31280.07 32951.82 34580.77 28684.37 26864.40 27659.75 34882.16 30336.47 34883.63 32442.73 35370.33 32686.48 293
CL-MVSNet_self_test72.37 27471.46 26675.09 30279.49 33853.53 33680.76 28785.01 26369.12 21970.51 27382.05 30457.92 20184.13 32052.27 31166.00 34087.60 266
tpm273.26 26471.46 26678.63 26183.34 27356.71 31080.65 28980.40 31956.63 34173.55 24482.02 30551.80 25591.24 24056.35 29778.42 24487.95 257
PatchMatch-RL72.38 27370.90 27376.80 28988.60 17167.38 15079.53 30076.17 34362.75 29669.36 29182.00 30645.51 30984.89 31653.62 30680.58 22178.12 353
FMVSNet569.50 29367.96 29474.15 31182.97 28655.35 32580.01 29682.12 30262.56 29863.02 33681.53 30736.92 34781.92 33248.42 33074.06 30085.17 312
CR-MVSNet73.37 26171.27 27079.67 24781.32 31665.19 19175.92 32680.30 32059.92 31772.73 25381.19 30852.50 24086.69 30259.84 26577.71 24887.11 282
Patchmtry70.74 28269.16 28475.49 29980.72 32154.07 33374.94 33580.30 32058.34 32970.01 28181.19 30852.50 24086.54 30353.37 30771.09 32485.87 305
IB-MVS68.01 1575.85 23973.36 25183.31 15084.76 24966.03 17183.38 26185.06 26170.21 19669.40 29081.05 31045.76 30794.66 11165.10 22575.49 28089.25 224
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
cascas76.72 22674.64 23682.99 16785.78 23365.88 17782.33 27389.21 18360.85 31072.74 25281.02 31147.28 29593.75 14967.48 20385.02 16889.34 222
LF4IMVS64.02 32162.19 32469.50 33370.90 36653.29 34176.13 32377.18 33952.65 35258.59 34980.98 31223.55 36576.52 35353.06 30966.66 33778.68 352
Anonymous2024052168.80 29867.22 30473.55 31374.33 35754.11 33283.18 26385.61 25658.15 33061.68 34180.94 31330.71 36081.27 33657.00 29373.34 31085.28 309
gm-plane-assit81.40 31253.83 33562.72 29780.94 31392.39 20163.40 235
UnsupCasMVSNet_eth67.33 30665.99 30971.37 32473.48 36151.47 34975.16 33185.19 26065.20 26660.78 34480.93 31542.35 32477.20 35157.12 29153.69 35985.44 307
MVS_030472.48 27170.89 27477.24 28482.20 30159.68 27484.11 24983.49 28467.10 24366.87 31080.59 31635.00 35387.40 29859.07 27379.58 23084.63 318
MDTV_nov1_ep1369.97 28183.18 27853.48 33777.10 32280.18 32360.45 31169.33 29280.44 31748.89 28886.90 30151.60 31478.51 242
pmmvs-eth3d70.50 28667.83 29778.52 26577.37 34766.18 17081.82 27681.51 30758.90 32663.90 33480.42 31842.69 32386.28 30658.56 27865.30 34283.11 332
PM-MVS66.41 31264.14 31473.20 31773.92 35956.45 31378.97 30764.96 36863.88 28664.72 32880.24 31919.84 36883.44 32666.24 21364.52 34479.71 350
SCA74.22 25372.33 26079.91 24084.05 26162.17 24779.96 29779.29 32866.30 25472.38 25880.13 32051.95 25188.60 28659.25 27077.67 25088.96 236
Patchmatch-test64.82 31963.24 31969.57 33279.42 33949.82 35663.49 36169.05 36151.98 35459.95 34780.13 32050.91 26270.98 36540.66 35773.57 30587.90 260
tpmrst72.39 27272.13 26173.18 31880.54 32449.91 35579.91 29879.08 32963.11 28971.69 26579.95 32255.32 21882.77 33065.66 22173.89 30286.87 285
DSMNet-mixed57.77 32756.90 32960.38 34567.70 36835.61 37169.18 35053.97 37332.30 36857.49 35379.88 32340.39 33668.57 36738.78 35972.37 31476.97 355
MDA-MVSNet-bldmvs66.68 30963.66 31775.75 29479.28 34060.56 26773.92 33778.35 33164.43 27550.13 36279.87 32444.02 31783.67 32346.10 34456.86 35583.03 334
PatchmatchNetpermissive73.12 26671.33 26978.49 26683.18 27860.85 26279.63 29978.57 33064.13 27971.73 26479.81 32551.20 26085.97 30857.40 28976.36 27188.66 246
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ppachtmachnet_test70.04 29067.34 30378.14 26979.80 33361.13 25879.19 30580.59 31559.16 32465.27 32479.29 32646.75 29987.29 29949.33 32766.72 33686.00 304
EPMVS69.02 29668.16 29171.59 32279.61 33649.80 35777.40 32066.93 36462.82 29570.01 28179.05 32745.79 30677.86 34956.58 29575.26 29087.13 281
PMMVS69.34 29468.67 28671.35 32675.67 35262.03 24875.17 33073.46 35150.00 35668.68 29479.05 32752.07 24978.13 34661.16 25782.77 19773.90 357
test-LLR72.94 26972.43 25874.48 30781.35 31458.04 28978.38 31177.46 33566.66 24869.95 28479.00 32948.06 29079.24 34166.13 21484.83 17086.15 298
test-mter71.41 27870.39 27974.48 30781.35 31458.04 28978.38 31177.46 33560.32 31369.95 28479.00 32936.08 35079.24 34166.13 21484.83 17086.15 298
KD-MVS_self_test68.81 29767.59 30272.46 32074.29 35845.45 36277.93 31787.00 23963.12 28863.99 33378.99 33142.32 32584.77 31756.55 29664.09 34587.16 280
KD-MVS_2432*160066.22 31463.89 31573.21 31575.47 35553.42 33870.76 34584.35 26964.10 28066.52 31578.52 33234.55 35484.98 31450.40 31950.33 36381.23 343
miper_refine_blended66.22 31463.89 31573.21 31575.47 35553.42 33870.76 34584.35 26964.10 28066.52 31578.52 33234.55 35484.98 31450.40 31950.33 36381.23 343
DWT-MVSNet_test73.70 25871.86 26379.21 25582.91 28758.94 27982.34 27282.17 30065.21 26571.05 27178.31 33444.21 31590.17 26163.29 23777.28 25288.53 250
tpmvs71.09 28069.29 28376.49 29082.04 30356.04 32078.92 30881.37 30964.05 28267.18 30778.28 33549.74 27789.77 26549.67 32672.37 31483.67 326
our_test_369.14 29567.00 30575.57 29779.80 33358.80 28177.96 31677.81 33359.55 32062.90 33978.25 33647.43 29383.97 32151.71 31367.58 33583.93 325
MDA-MVSNet_test_wron65.03 31762.92 32071.37 32475.93 35056.73 30869.09 35374.73 34857.28 33854.03 35977.89 33745.88 30474.39 36249.89 32561.55 34982.99 335
YYNet165.03 31762.91 32171.38 32375.85 35156.60 31269.12 35274.66 35057.28 33854.12 35877.87 33845.85 30574.48 36149.95 32461.52 35083.05 333
ambc75.24 30173.16 36350.51 35463.05 36287.47 23164.28 33077.81 33917.80 36989.73 26757.88 28560.64 35185.49 306
tpm cat170.57 28468.31 28977.35 28282.41 29957.95 29278.08 31580.22 32252.04 35368.54 29777.66 34052.00 25087.84 29551.77 31272.07 31886.25 295
dp66.80 30865.43 31070.90 32979.74 33548.82 35875.12 33374.77 34759.61 31964.08 33277.23 34142.89 32180.72 33848.86 32966.58 33883.16 331
TESTMET0.1,169.89 29269.00 28572.55 31979.27 34156.85 30678.38 31174.71 34957.64 33468.09 29877.19 34237.75 34576.70 35263.92 23184.09 17984.10 324
CHOSEN 280x42066.51 31164.71 31271.90 32181.45 31163.52 22457.98 36368.95 36253.57 34962.59 34076.70 34346.22 30275.29 35955.25 30079.68 22976.88 356
PatchT68.46 30267.85 29670.29 33080.70 32243.93 36572.47 33974.88 34660.15 31570.55 27276.57 34449.94 27481.59 33350.58 31774.83 29485.34 308
RPMNet73.51 26070.49 27682.58 18481.32 31665.19 19175.92 32692.27 8357.60 33572.73 25376.45 34552.30 24395.43 7448.14 33577.71 24887.11 282
ADS-MVSNet266.20 31663.33 31874.82 30579.92 33058.75 28267.55 35575.19 34553.37 35065.25 32575.86 34642.32 32580.53 33941.57 35568.91 33185.18 310
ADS-MVSNet64.36 32062.88 32268.78 33779.92 33047.17 36067.55 35571.18 35453.37 35065.25 32575.86 34642.32 32573.99 36341.57 35568.91 33185.18 310
EGC-MVSNET52.07 33147.05 33567.14 34083.51 27060.71 26480.50 29167.75 3630.07 3760.43 37775.85 34824.26 36481.54 33428.82 36462.25 34759.16 364
new-patchmatchnet61.73 32361.73 32561.70 34472.74 36524.50 37869.16 35178.03 33261.40 30656.72 35575.53 34938.42 34176.48 35445.95 34557.67 35484.13 323
N_pmnet52.79 33053.26 33151.40 35078.99 3427.68 38169.52 3483.89 38151.63 35557.01 35474.98 35040.83 33465.96 36837.78 36064.67 34380.56 348
patchmatchnet-post74.00 35151.12 26188.60 286
GG-mvs-BLEND75.38 30081.59 30955.80 32279.32 30269.63 35867.19 30673.67 35243.24 31988.90 28450.41 31884.50 17481.45 342
Patchmatch-RL test70.24 28867.78 29977.61 27877.43 34659.57 27771.16 34270.33 35562.94 29368.65 29572.77 35350.62 26685.49 31169.58 18466.58 33887.77 263
FPMVS53.68 32951.64 33259.81 34665.08 36951.03 35169.48 34969.58 35941.46 36040.67 36472.32 35416.46 37170.00 36624.24 36865.42 34158.40 365
UnsupCasMVSNet_bld63.70 32261.53 32670.21 33173.69 36051.39 35072.82 33881.89 30355.63 34557.81 35271.80 35538.67 34078.61 34449.26 32852.21 36180.63 346
PVSNet_057.27 2061.67 32459.27 32768.85 33679.61 33657.44 30168.01 35473.44 35255.93 34458.54 35070.41 35644.58 31377.55 35047.01 33935.91 36671.55 359
pmmvs357.79 32654.26 33068.37 33864.02 37056.72 30975.12 33365.17 36640.20 36152.93 36069.86 35720.36 36775.48 35845.45 34755.25 35872.90 358
new_pmnet50.91 33250.29 33352.78 34968.58 36734.94 37363.71 36056.63 37239.73 36244.95 36365.47 35821.93 36658.48 36934.98 36256.62 35664.92 361
gg-mvs-nofinetune69.95 29167.96 29475.94 29383.07 28154.51 33077.23 32170.29 35663.11 28970.32 27662.33 35943.62 31888.69 28553.88 30587.76 13584.62 319
JIA-IIPM66.32 31362.82 32376.82 28877.09 34861.72 25465.34 35875.38 34458.04 33264.51 32962.32 36042.05 32986.51 30451.45 31569.22 33082.21 338
LCM-MVSNet54.25 32849.68 33467.97 33953.73 37345.28 36366.85 35780.78 31235.96 36539.45 36562.23 3618.70 37778.06 34848.24 33451.20 36280.57 347
PMMVS240.82 33638.86 33946.69 35153.84 37216.45 37948.61 36649.92 37437.49 36431.67 36660.97 3628.14 37856.42 37028.42 36530.72 36867.19 360
MVS-HIRNet59.14 32557.67 32863.57 34381.65 30743.50 36671.73 34165.06 36739.59 36351.43 36157.73 36338.34 34282.58 33139.53 35873.95 30164.62 362
ANet_high50.57 33346.10 33663.99 34248.67 37639.13 36970.99 34480.85 31161.39 30731.18 36757.70 36417.02 37073.65 36431.22 36315.89 37379.18 351
PMVScopyleft37.38 2244.16 33540.28 33855.82 34740.82 37842.54 36765.12 35963.99 36934.43 36624.48 36957.12 3653.92 37976.17 35517.10 37155.52 35748.75 366
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test_method31.52 33829.28 34238.23 35327.03 3806.50 38220.94 37162.21 3714.05 37422.35 37252.50 36613.33 37247.58 37327.04 36734.04 36760.62 363
DeepMVS_CXcopyleft27.40 35640.17 37926.90 37624.59 38017.44 37223.95 37048.61 3679.77 37526.48 37518.06 37024.47 36928.83 369
MVEpermissive26.22 2330.37 34025.89 34443.81 35244.55 37735.46 37228.87 37039.07 37718.20 37118.58 37340.18 3682.68 38047.37 37417.07 37223.78 37048.60 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
Gipumacopyleft45.18 33441.86 33755.16 34877.03 34951.52 34832.50 36980.52 31632.46 36727.12 36835.02 3699.52 37675.50 35722.31 36960.21 35338.45 368
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
E-PMN31.77 33730.64 34035.15 35452.87 37427.67 37557.09 36447.86 37524.64 36916.40 37433.05 37011.23 37454.90 37114.46 37318.15 37122.87 370
EMVS30.81 33929.65 34134.27 35550.96 37525.95 37756.58 36546.80 37624.01 37015.53 37530.68 37112.47 37354.43 37212.81 37417.05 37222.43 371
tmp_tt18.61 34221.40 34510.23 3584.82 38110.11 38034.70 36830.74 3791.48 37523.91 37126.07 37228.42 36113.41 37727.12 36615.35 3747.17 372
X-MVStestdata80.37 14577.83 18188.00 1594.42 2273.33 2092.78 1892.99 4979.14 2483.67 8712.47 37367.45 9596.60 3483.06 6394.50 5694.07 47
test_post5.46 37450.36 27084.24 319
test_post178.90 3095.43 37548.81 28985.44 31259.25 270
wuyk23d16.82 34315.94 34619.46 35758.74 37131.45 37439.22 3673.74 3826.84 3736.04 3762.70 3761.27 38124.29 37610.54 37514.40 3752.63 373
testmvs6.04 3468.02 3490.10 3600.08 3820.03 38469.74 3470.04 3830.05 3770.31 3781.68 3770.02 3830.04 3780.24 3760.02 3760.25 375
test1236.12 3458.11 3480.14 3590.06 3830.09 38371.05 3430.03 3840.04 3780.25 3791.30 3780.05 3820.03 3790.21 3770.01 3770.29 374
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
pcd_1.5k_mvsjas5.26 3477.02 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37963.15 1400.00 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
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
FOURS195.00 1072.39 4295.06 193.84 1874.49 11891.30 15
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 32
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 32
eth-test20.00 384
eth-test0.00 384
IU-MVS95.30 271.25 6392.95 5666.81 24492.39 688.94 1196.63 494.85 17
save fliter93.80 4472.35 4590.47 6791.17 13074.31 122
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 42
GSMVS88.96 236
test_part295.06 872.65 3391.80 13
sam_mvs151.32 25988.96 236
sam_mvs50.01 272
MTGPAbinary92.02 94
MTMP92.18 3432.83 378
test9_res84.90 3395.70 3192.87 105
agg_prior282.91 6695.45 3392.70 108
agg_prior92.85 6671.94 5491.78 11084.41 7394.93 98
test_prior472.60 3589.01 103
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7093.91 55
旧先验286.56 18658.10 33187.04 3588.98 28074.07 142
新几何286.29 195
无先验87.48 15788.98 19360.00 31694.12 12967.28 20588.97 235
原ACMM286.86 175
testdata291.01 24962.37 244
segment_acmp73.08 45
testdata184.14 24875.71 90
test1286.80 5592.63 7370.70 8191.79 10982.71 9971.67 5796.16 4794.50 5693.54 80
plane_prior790.08 11568.51 129
plane_prior689.84 12468.70 12460.42 188
plane_prior592.44 7595.38 7978.71 9986.32 15791.33 150
plane_prior368.60 12778.44 3378.92 141
plane_prior291.25 5079.12 26
plane_prior189.90 123
plane_prior68.71 12290.38 7177.62 4186.16 160
n20.00 385
nn0.00 385
door-mid69.98 357
test1192.23 86
door69.44 360
HQP5-MVS66.98 156
HQP-NCC89.33 13889.17 9676.41 7577.23 177
ACMP_Plane89.33 13889.17 9676.41 7577.23 177
BP-MVS77.47 113
HQP4-MVS77.24 17695.11 8991.03 159
HQP3-MVS92.19 8985.99 163
HQP2-MVS60.17 191
MDTV_nov1_ep13_2view37.79 37075.16 33155.10 34666.53 31449.34 28153.98 30487.94 259
ACMMP++_ref81.95 207
ACMMP++81.25 212
Test By Simon64.33 125