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
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 11
test_241102_ONE95.30 270.98 7094.06 1277.17 5693.10 195.39 1182.99 197.27 10
test072695.27 571.25 6393.60 694.11 877.33 5092.81 395.79 380.98 9
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 7
test_241102_TWO94.06 1277.24 5292.78 495.72 881.26 897.44 589.07 996.58 694.26 41
IU-MVS95.30 271.25 6392.95 5666.81 24692.39 688.94 1196.63 494.85 16
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2393.63 2474.77 11292.29 795.97 274.28 3697.24 1188.58 1396.91 194.87 13
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
DPE-MVScopyleft89.48 589.98 488.01 1494.80 1172.69 3291.59 4494.10 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
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
test_one_060195.07 771.46 6194.14 778.27 3792.05 1195.74 680.83 11
PC_three_145268.21 23892.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 7
test_part295.06 872.65 3391.80 13
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 6594.67 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
FOURS195.00 1072.39 4295.06 193.84 1874.49 11991.30 15
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
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4293.19 4077.87 3890.32 1794.00 4874.83 2893.78 14987.63 1794.27 6493.65 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
DeepPCF-MVS80.84 188.10 1288.56 1286.73 5692.24 7869.03 10989.57 9393.39 3477.53 4789.79 1894.12 4378.98 1296.58 3685.66 2795.72 2994.58 27
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6989.69 16874.31 12389.16 1995.10 1375.65 2296.19 4587.07 2196.01 1794.79 18
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 18
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4992.35 8074.62 11788.90 2193.85 5275.75 2196.00 5387.80 1594.63 5495.04 5
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4894.70 374.47 12088.86 2294.61 2175.23 2595.84 5886.62 2695.92 2194.78 20
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 4192.83 6173.01 15488.58 2394.52 2373.36 4296.49 3784.26 4695.01 4292.70 108
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
9.1488.26 1592.84 6891.52 4794.75 173.93 13388.57 2494.67 1975.57 2495.79 5986.77 2395.76 28
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3393.49 2974.75 11388.33 2594.43 3273.27 4497.02 1684.18 5094.84 4993.82 62
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5993.59 2676.27 8288.14 2695.09 1571.06 6296.67 2887.67 1696.37 1494.09 46
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2380.19 1488.10 2794.80 1673.76 4197.11 1387.51 1895.82 2494.90 10
Skip Steuart: Steuart Systems R&D Blog.
CNVR-MVS88.93 989.13 988.33 794.77 1273.82 990.51 6693.00 4780.90 988.06 2894.06 4676.43 1796.84 2088.48 1495.99 1994.34 37
canonicalmvs85.91 5585.87 5786.04 7289.84 12469.44 10790.45 7293.00 4776.70 7288.01 2991.23 10773.28 4393.91 14481.50 8088.80 12494.77 21
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
ZD-MVS94.38 2772.22 4892.67 6770.98 18387.75 3194.07 4574.01 4096.70 2684.66 3994.84 49
alignmvs85.48 6285.32 6485.96 7489.51 13169.47 10489.74 8992.47 7476.17 8387.73 3291.46 10370.32 7093.78 14981.51 7988.95 12194.63 26
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6494.05 1570.80 18587.59 3393.51 5677.57 1496.63 3183.31 5795.77 2694.72 23
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8872.45 4190.02 8094.37 471.76 16687.28 3494.27 3675.18 2696.08 4985.16 3095.77 2693.80 65
旧先验286.56 19058.10 33287.04 3588.98 28074.07 144
Regformer-286.63 4486.53 4386.95 5189.33 13971.24 6788.43 12692.05 9382.50 186.88 3690.09 13474.45 3195.61 6384.38 4390.63 10394.01 51
SR-MVS86.73 3986.67 4186.91 5294.11 4072.11 5192.37 2792.56 7374.50 11886.84 3794.65 2067.31 9795.77 6084.80 3792.85 7592.84 106
Regformer-186.41 4886.33 4686.64 5889.33 13970.93 7588.43 12691.39 12382.14 386.65 3890.09 13474.39 3495.01 9783.97 5290.63 10393.97 53
dcpmvs_285.63 6186.15 5384.06 12791.71 8664.94 19986.47 19291.87 10573.63 13986.60 3993.02 7076.57 1691.87 22583.36 5692.15 8495.35 1
test117286.20 5286.22 4986.12 7093.95 4269.89 9591.79 4392.28 8275.07 10486.40 4094.58 2265.00 12295.56 6584.34 4592.60 7892.90 104
MP-MVS-pluss87.67 2287.72 2287.54 3993.64 5072.04 5289.80 8793.50 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
APD-MVS_3200maxsize85.97 5485.88 5686.22 6792.69 7269.53 10291.93 3892.99 4973.54 14385.94 4294.51 2665.80 11495.61 6383.04 6492.51 8093.53 81
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7692.02 9479.45 2085.88 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 18992.02 9479.45 2085.88 4394.80 1668.07 8896.21 4386.69 2495.34 3693.23 89
TSAR-MVS + GP.85.71 5985.33 6386.84 5391.34 9072.50 3789.07 10587.28 23376.41 7585.80 4590.22 13274.15 3995.37 8281.82 7891.88 8792.65 112
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5492.83 6181.50 685.79 4693.47 5973.02 4797.00 1784.90 3394.94 4494.10 45
SR-MVS-dyc-post85.77 5785.61 5986.23 6693.06 6270.63 8291.88 3992.27 8373.53 14485.69 4794.45 2865.00 12295.56 6582.75 6791.87 8892.50 115
RE-MVS-def85.48 6093.06 6270.63 8291.88 3992.27 8373.53 14485.69 4794.45 2863.87 12982.75 6791.87 8892.50 115
testdata79.97 24190.90 9864.21 21384.71 26559.27 32485.40 4992.91 7162.02 16089.08 27868.95 19291.37 9586.63 293
Regformer-485.68 6085.45 6186.35 6288.95 15769.67 9988.29 13691.29 12581.73 585.36 5090.01 13872.62 4995.35 8383.28 6087.57 13694.03 49
abl_685.23 6784.95 7186.07 7192.23 7970.48 8590.80 6192.08 9273.51 14685.26 5194.16 4162.75 14695.92 5782.46 7491.30 9791.81 139
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
PHI-MVS86.43 4686.17 5287.24 4690.88 9970.96 7292.27 3294.07 1172.45 15785.22 5391.90 9069.47 7896.42 3883.28 6095.94 2094.35 36
patch_mono-283.65 8084.54 7580.99 22190.06 11965.83 17884.21 24988.74 20471.60 17385.01 5492.44 8174.51 3083.50 32682.15 7692.15 8493.64 75
Regformer-385.23 6785.07 6885.70 7888.95 15769.01 11188.29 13689.91 16280.95 885.01 5490.01 13872.45 5094.19 13082.50 7387.57 13693.90 57
TEST993.26 5672.96 2688.75 11791.89 10368.44 23685.00 5693.10 6574.36 3595.41 76
train_agg86.43 4686.20 5087.13 4993.26 5672.96 2688.75 11791.89 10368.69 23285.00 5693.10 6574.43 3295.41 7684.97 3295.71 3093.02 99
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 2993.24 3775.23 10084.91 5894.44 3070.78 6496.61 3283.75 5594.89 4693.66 68
test_prior386.73 3986.86 4086.33 6392.61 7469.59 10088.85 11292.97 5475.41 9684.91 5893.54 5474.28 3695.48 7083.31 5795.86 2293.91 55
test_prior288.85 11275.41 9684.91 5893.54 5474.28 3683.31 5795.86 22
test_893.13 5872.57 3688.68 12191.84 10768.69 23284.87 6293.10 6574.43 3295.16 87
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8593.82 1973.07 15284.86 6392.89 7276.22 1896.33 3984.89 3595.13 4194.40 34
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 5095.01 4293.90 57
h-mvs3383.15 8982.19 9786.02 7390.56 10570.85 7888.15 14389.16 18476.02 8684.67 6591.39 10561.54 16595.50 6982.71 6975.48 28391.72 141
hse-mvs281.72 11180.94 11784.07 12688.72 16867.68 14485.87 20887.26 23476.02 8684.67 6588.22 18961.54 16593.48 16482.71 6973.44 30991.06 160
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
CDPH-MVS85.76 5885.29 6687.17 4893.49 5371.08 6888.58 12492.42 7868.32 23784.61 6893.48 5772.32 5196.15 4879.00 9995.43 3494.28 40
UA-Net85.08 7184.96 7085.45 8092.07 8168.07 13689.78 8890.86 13782.48 284.60 6993.20 6369.35 7995.22 8571.39 16890.88 10193.07 96
CS-MVS86.69 4186.95 3685.90 7590.76 10267.57 14692.83 1793.30 3679.67 1984.57 7092.27 8371.47 5995.02 9684.24 4893.46 7095.13 4
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7184.45 7194.52 2369.09 8296.70 2684.37 4494.83 5194.03 49
agg_prior186.22 5186.09 5586.62 5992.85 6671.94 5488.59 12391.78 11068.96 22784.41 7293.18 6474.94 2794.93 9884.75 3895.33 3893.01 100
agg_prior92.85 6671.94 5491.78 11084.41 7294.93 98
VDD-MVS83.01 9482.36 9584.96 9391.02 9566.40 16788.91 10988.11 21377.57 4384.39 7493.29 6252.19 24693.91 14477.05 11988.70 12694.57 29
casdiffmvs85.11 7085.14 6785.01 9187.20 21865.77 18287.75 15592.83 6177.84 3984.36 7592.38 8272.15 5393.93 14381.27 8290.48 10595.33 2
MSLP-MVS++85.43 6485.76 5884.45 11291.93 8370.24 8690.71 6292.86 5977.46 4984.22 7692.81 7667.16 9992.94 18980.36 9194.35 6290.16 191
DeepC-MVS_fast79.65 386.91 3886.62 4287.76 2993.52 5272.37 4491.26 5093.04 4376.62 7384.22 7693.36 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
DROMVSNet86.01 5386.38 4584.91 9789.31 14466.27 17092.32 3093.63 2479.37 2284.17 7891.88 9169.04 8595.43 7483.93 5393.77 6893.01 100
ETV-MVS84.90 7484.67 7485.59 7989.39 13668.66 12588.74 11992.64 7179.97 1784.10 7985.71 25369.32 8095.38 7980.82 8691.37 9592.72 107
VNet82.21 10282.41 9381.62 20290.82 10060.93 26384.47 24089.78 16476.36 8084.07 8091.88 9164.71 12490.26 25970.68 17388.89 12293.66 68
baseline84.93 7284.98 6984.80 10287.30 21665.39 19187.30 16792.88 5877.62 4184.04 8192.26 8471.81 5593.96 13781.31 8190.30 10795.03 6
PGM-MVS86.68 4286.27 4887.90 2194.22 3573.38 1990.22 7793.04 4375.53 9483.86 8294.42 3367.87 9296.64 3082.70 7194.57 5693.66 68
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2292.65 7077.57 4383.84 8394.40 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.
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3493.33 3576.07 8583.81 8493.95 5169.77 7696.01 5285.15 3194.66 5394.32 38
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CP-MVS87.11 3586.92 3787.68 3794.20 3673.86 893.98 392.82 6476.62 7383.68 8594.46 2767.93 9095.95 5684.20 4994.39 6093.23 89
XVS87.18 3486.91 3888.00 1594.42 2273.33 2092.78 1892.99 4979.14 2383.67 8694.17 4067.45 9596.60 3483.06 6294.50 5794.07 47
X-MVStestdata80.37 14777.83 18488.00 1594.42 2273.33 2092.78 1892.99 4979.14 2383.67 8612.47 37467.45 9596.60 3483.06 6294.50 5794.07 47
DELS-MVS85.41 6585.30 6585.77 7688.49 17567.93 13885.52 22193.44 3178.70 3183.63 8889.03 16574.57 2995.71 6280.26 9394.04 6693.66 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
CS-MVS-test86.29 5086.48 4485.71 7791.02 9567.21 15592.36 2893.78 2178.97 3083.51 8991.20 10970.65 6895.15 8881.96 7794.89 4694.77 21
LFMVS81.82 11081.23 11183.57 14691.89 8463.43 23189.84 8481.85 30577.04 6183.21 9093.10 6552.26 24593.43 16871.98 16389.95 11493.85 59
VDDNet81.52 11880.67 12184.05 12990.44 10864.13 21589.73 9085.91 25371.11 18083.18 9193.48 5750.54 26993.49 16373.40 15288.25 13294.54 30
CSCG86.41 4886.19 5187.07 5092.91 6572.48 3890.81 6093.56 2773.95 13183.16 9291.07 11475.94 1995.19 8679.94 9594.38 6193.55 79
nrg03083.88 7683.53 7984.96 9386.77 22669.28 10890.46 7192.67 6774.79 11182.95 9391.33 10672.70 4893.09 18380.79 8879.28 24192.50 115
EI-MVSNet-Vis-set84.19 7583.81 7885.31 8288.18 18467.85 13987.66 15789.73 16780.05 1682.95 9389.59 14970.74 6694.82 10780.66 9084.72 17293.28 88
MVS_Test83.15 8983.06 8583.41 15186.86 22263.21 23586.11 20292.00 9774.31 12382.87 9589.44 15770.03 7293.21 17377.39 11688.50 13093.81 63
DPM-MVS84.93 7284.29 7786.84 5390.20 11273.04 2487.12 17193.04 4369.80 20482.85 9691.22 10873.06 4696.02 5176.72 12594.63 5491.46 150
DeepC-MVS79.81 287.08 3786.88 3987.69 3691.16 9272.32 4790.31 7493.94 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
mPP-MVS86.67 4386.32 4787.72 3294.41 2473.55 1392.74 2092.22 8776.87 6582.81 9894.25 3866.44 10496.24 4282.88 6694.28 6393.38 83
test1286.80 5592.63 7370.70 8191.79 10982.71 9971.67 5796.16 4794.50 5793.54 80
HPM-MVS_fast85.35 6684.95 7186.57 6193.69 4870.58 8492.15 3691.62 11473.89 13482.67 10094.09 4462.60 14795.54 6880.93 8492.93 7393.57 78
Effi-MVS+83.62 8283.08 8485.24 8588.38 18067.45 14888.89 11089.15 18575.50 9582.27 10188.28 18669.61 7794.45 11977.81 11187.84 13493.84 61
EI-MVSNet-UG-set83.81 7783.38 8185.09 8987.87 19367.53 14787.44 16389.66 16979.74 1882.23 10289.41 15870.24 7194.74 11079.95 9483.92 18292.99 102
MVS_111021_HR85.14 6984.75 7386.32 6591.65 8772.70 3185.98 20490.33 15076.11 8482.08 10391.61 9871.36 6194.17 13281.02 8392.58 7992.08 131
diffmvs82.10 10381.88 10582.76 18483.00 28763.78 22183.68 25789.76 16572.94 15582.02 10489.85 14165.96 11390.79 25382.38 7587.30 14393.71 67
xiu_mvs_v1_base_debu80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
xiu_mvs_v1_base80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
xiu_mvs_v1_base_debi80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
新几何183.42 14993.13 5870.71 8085.48 25757.43 33781.80 10891.98 8863.28 13592.27 21064.60 23192.99 7287.27 276
test_yl81.17 12380.47 12583.24 15789.13 15263.62 22286.21 19989.95 16072.43 16081.78 10989.61 14757.50 20693.58 15770.75 17186.90 14892.52 113
DCV-MVSNet81.17 12380.47 12583.24 15789.13 15263.62 22286.21 19989.95 16072.43 16081.78 10989.61 14757.50 20693.58 15770.75 17186.90 14892.52 113
112180.84 12979.77 13684.05 12993.11 6070.78 7984.66 23485.42 25857.37 33881.76 11192.02 8763.41 13394.12 13367.28 20792.93 7387.26 277
MG-MVS83.41 8583.45 8083.28 15492.74 7162.28 24988.17 14189.50 17275.22 10181.49 11292.74 8066.75 10095.11 9072.85 15891.58 9292.45 118
CANet86.45 4586.10 5487.51 4090.09 11470.94 7489.70 9192.59 7281.78 481.32 11391.43 10470.34 6997.23 1284.26 4693.36 7194.37 35
MVSFormer82.85 9582.05 10185.24 8587.35 21170.21 8790.50 6790.38 14668.55 23481.32 11389.47 15261.68 16293.46 16678.98 10090.26 10892.05 132
lupinMVS81.39 12180.27 13084.76 10387.35 21170.21 8785.55 21786.41 24562.85 29581.32 11388.61 17661.68 16292.24 21278.41 10690.26 10891.83 137
xiu_mvs_v2_base81.69 11381.05 11483.60 14489.15 15168.03 13784.46 24290.02 15870.67 18981.30 11686.53 23963.17 13994.19 13075.60 13488.54 12888.57 252
PS-MVSNAJ81.69 11381.02 11583.70 14389.51 13168.21 13484.28 24890.09 15770.79 18681.26 11785.62 25763.15 14094.29 12175.62 13388.87 12388.59 251
原ACMM184.35 11693.01 6468.79 11592.44 7563.96 28681.09 11891.57 9966.06 11095.45 7267.19 21094.82 5288.81 245
jason81.39 12180.29 12984.70 10486.63 22869.90 9485.95 20586.77 24163.24 28881.07 11989.47 15261.08 17892.15 21478.33 10790.07 11392.05 132
jason: jason.
OPM-MVS83.50 8382.95 8785.14 8788.79 16570.95 7389.13 10491.52 11777.55 4680.96 12091.75 9360.71 18294.50 11879.67 9686.51 15589.97 207
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
Vis-MVSNetpermissive83.46 8482.80 9085.43 8190.25 11168.74 11990.30 7590.13 15676.33 8180.87 12192.89 7261.00 17994.20 12972.45 16290.97 9993.35 85
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
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 7290.69 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
Anonymous2024052980.19 15278.89 16084.10 12490.60 10464.75 20288.95 10890.90 13565.97 26180.59 12391.17 11149.97 27493.73 15569.16 19082.70 20393.81 63
test_part182.78 9682.08 10084.89 9890.66 10366.97 16090.96 5892.93 5777.19 5580.53 12490.04 13663.44 13295.39 7876.04 12976.90 26092.31 122
MVS_111021_LR82.61 9982.11 9884.11 12388.82 16271.58 5985.15 22486.16 25074.69 11480.47 12591.04 11562.29 15490.55 25780.33 9290.08 11290.20 190
ECVR-MVScopyleft79.61 16079.26 15180.67 22890.08 11554.69 32887.89 15277.44 33874.88 10980.27 12692.79 7748.96 28992.45 20168.55 19692.50 8194.86 14
VPA-MVSNet80.60 14180.55 12380.76 22688.07 18860.80 26686.86 17991.58 11675.67 9380.24 12789.45 15663.34 13490.25 26070.51 17579.22 24291.23 155
test111179.43 16779.18 15580.15 23889.99 12053.31 34187.33 16677.05 34175.04 10580.23 12892.77 7948.97 28892.33 20968.87 19392.40 8394.81 17
test250677.30 21976.49 21679.74 24690.08 11552.02 34487.86 15463.10 37174.88 10980.16 12992.79 7738.29 34492.35 20768.74 19592.50 8194.86 14
Anonymous20240521178.25 19477.01 20281.99 19691.03 9460.67 26884.77 23283.90 27970.65 19180.00 13091.20 10941.08 33491.43 23665.21 22585.26 16793.85 59
test22291.50 8968.26 13284.16 25083.20 29354.63 34979.74 13191.63 9758.97 19591.42 9486.77 289
OMC-MVS82.69 9781.97 10484.85 9988.75 16767.42 14987.98 14690.87 13674.92 10879.72 13291.65 9562.19 15793.96 13775.26 13786.42 15693.16 94
CPTT-MVS83.73 7883.33 8284.92 9693.28 5570.86 7792.09 3790.38 14668.75 23179.57 13392.83 7460.60 18693.04 18780.92 8591.56 9390.86 168
IS-MVSNet83.15 8982.81 8984.18 12289.94 12263.30 23391.59 4488.46 21079.04 2779.49 13492.16 8565.10 11994.28 12267.71 20291.86 9094.95 7
PS-MVSNAJss82.07 10581.31 10984.34 11786.51 22967.27 15389.27 9791.51 11871.75 16779.37 13590.22 13263.15 14094.27 12377.69 11282.36 20691.49 148
EPP-MVSNet83.40 8683.02 8684.57 10690.13 11364.47 20892.32 3090.73 13874.45 12279.35 13691.10 11269.05 8495.12 8972.78 15987.22 14494.13 44
DP-MVS Recon83.11 9282.09 9986.15 6894.44 2170.92 7688.79 11592.20 8870.53 19279.17 13791.03 11764.12 12796.03 5068.39 19990.14 11091.50 147
ab-mvs79.51 16378.97 15981.14 21788.46 17760.91 26483.84 25589.24 18170.36 19479.03 13888.87 17063.23 13890.21 26165.12 22682.57 20492.28 124
EIA-MVS83.31 8882.80 9084.82 10089.59 12765.59 18488.21 13992.68 6674.66 11578.96 13986.42 24169.06 8395.26 8475.54 13590.09 11193.62 76
PVSNet_Blended_VisFu82.62 9881.83 10684.96 9390.80 10169.76 9788.74 11991.70 11369.39 21178.96 13988.46 18165.47 11694.87 10674.42 14088.57 12790.24 189
HQP_MVS83.64 8183.14 8385.14 8790.08 11568.71 12191.25 5292.44 7579.12 2578.92 14191.00 11860.42 18895.38 7978.71 10286.32 15791.33 151
plane_prior368.60 12678.44 3378.92 141
iter_conf0580.00 15678.70 16283.91 13987.84 19565.83 17888.84 11484.92 26471.61 17278.70 14388.94 16643.88 31794.56 11379.28 9884.28 17991.33 151
EI-MVSNet80.52 14479.98 13282.12 19284.28 25863.19 23786.41 19388.95 19574.18 12878.69 14487.54 20566.62 10192.43 20272.57 16180.57 22690.74 172
MVSTER79.01 17977.88 18382.38 19083.07 28464.80 20184.08 25488.95 19569.01 22678.69 14487.17 21654.70 22592.43 20274.69 13980.57 22689.89 210
API-MVS81.99 10781.23 11184.26 12090.94 9770.18 9291.10 5589.32 17671.51 17578.66 14688.28 18665.26 11795.10 9364.74 23091.23 9887.51 270
GeoE81.71 11281.01 11683.80 14189.51 13164.45 20988.97 10788.73 20571.27 17878.63 14789.76 14366.32 10693.20 17569.89 18286.02 16293.74 66
UniMVSNet (Re)81.60 11781.11 11383.09 16488.38 18064.41 21087.60 15893.02 4678.42 3478.56 14888.16 19069.78 7593.26 17269.58 18676.49 26791.60 142
MAR-MVS81.84 10980.70 12085.27 8491.32 9171.53 6089.82 8590.92 13469.77 20578.50 14986.21 24562.36 15394.52 11765.36 22492.05 8689.77 215
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
Fast-Effi-MVS+80.81 13279.92 13383.47 14788.85 15964.51 20585.53 21989.39 17470.79 18678.49 15085.06 26967.54 9493.58 15767.03 21386.58 15392.32 121
FIs82.07 10582.42 9281.04 22088.80 16458.34 28688.26 13893.49 2976.93 6378.47 15191.04 11569.92 7492.34 20869.87 18384.97 16992.44 119
UniMVSNet_NR-MVSNet81.88 10881.54 10882.92 17388.46 17763.46 22987.13 17092.37 7980.19 1478.38 15289.14 16171.66 5893.05 18570.05 17976.46 26892.25 125
DU-MVS81.12 12580.52 12482.90 17487.80 19763.46 22987.02 17491.87 10579.01 2878.38 15289.07 16365.02 12093.05 18570.05 17976.46 26892.20 127
CLD-MVS82.31 10181.65 10784.29 11988.47 17667.73 14285.81 21292.35 8075.78 8978.33 15486.58 23664.01 12894.35 12076.05 12887.48 14190.79 169
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
iter_conf_final80.63 13979.35 14884.46 11189.36 13867.70 14389.85 8384.49 26973.19 15078.30 15588.94 16645.98 30594.56 11379.59 9784.48 17691.11 158
VPNet78.69 18678.66 16478.76 26188.31 18255.72 32484.45 24386.63 24376.79 6778.26 15690.55 12659.30 19389.70 26866.63 21477.05 25890.88 167
mvsmamba81.69 11380.74 11984.56 10787.45 21066.72 16391.26 5085.89 25474.66 11578.23 15790.56 12554.33 22894.91 10080.73 8983.54 19092.04 134
V4279.38 17178.24 17582.83 17681.10 32065.50 18685.55 21789.82 16371.57 17478.21 15886.12 24760.66 18493.18 17875.64 13275.46 28589.81 214
BH-RMVSNet79.61 16078.44 16983.14 16289.38 13765.93 17584.95 22987.15 23673.56 14278.19 15989.79 14256.67 21493.36 16959.53 26986.74 15190.13 193
v2v48280.23 15079.29 15083.05 16783.62 27064.14 21487.04 17389.97 15973.61 14078.18 16087.22 21361.10 17793.82 14776.11 12776.78 26591.18 156
PVSNet_BlendedMVS80.60 14180.02 13182.36 19188.85 15965.40 18986.16 20192.00 9769.34 21378.11 16186.09 24866.02 11194.27 12371.52 16582.06 20887.39 272
PVSNet_Blended80.98 12680.34 12782.90 17488.85 15965.40 18984.43 24492.00 9767.62 24178.11 16185.05 27066.02 11194.27 12371.52 16589.50 11789.01 235
v114480.03 15479.03 15783.01 16983.78 26864.51 20587.11 17290.57 14271.96 16578.08 16386.20 24661.41 16993.94 14074.93 13877.23 25590.60 177
TranMVSNet+NR-MVSNet80.84 12980.31 12882.42 18987.85 19462.33 24787.74 15691.33 12480.55 1177.99 16489.86 14065.23 11892.62 19567.05 21275.24 29292.30 123
Baseline_NR-MVSNet78.15 19978.33 17377.61 27985.79 23556.21 32086.78 18385.76 25573.60 14177.93 16587.57 20365.02 12088.99 27967.14 21175.33 28987.63 266
TR-MVS77.44 21576.18 22181.20 21588.24 18363.24 23484.61 23886.40 24667.55 24277.81 16686.48 24054.10 23193.15 17957.75 28782.72 20287.20 278
v119279.59 16278.43 17083.07 16683.55 27264.52 20486.93 17790.58 14170.83 18477.78 16785.90 24959.15 19493.94 14073.96 14577.19 25790.76 170
PCF-MVS73.52 780.38 14678.84 16185.01 9187.71 20168.99 11283.65 25891.46 12263.00 29277.77 16890.28 12966.10 10895.09 9461.40 25588.22 13390.94 166
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
WR-MVS79.49 16479.22 15380.27 23688.79 16558.35 28585.06 22688.61 20878.56 3277.65 16988.34 18463.81 13190.66 25664.98 22877.22 25691.80 140
XVG-OURS80.41 14579.23 15283.97 13685.64 23869.02 11083.03 27190.39 14571.09 18177.63 17091.49 10254.62 22791.35 23875.71 13183.47 19191.54 144
v14419279.47 16578.37 17182.78 18283.35 27563.96 21786.96 17590.36 14969.99 20077.50 17185.67 25560.66 18493.77 15174.27 14276.58 26690.62 175
v192192079.22 17378.03 17882.80 17983.30 27763.94 21886.80 18190.33 15069.91 20277.48 17285.53 25858.44 19893.75 15373.60 14776.85 26390.71 173
thisisatest053079.40 16977.76 18884.31 11887.69 20365.10 19787.36 16484.26 27570.04 19977.42 17388.26 18849.94 27594.79 10970.20 17784.70 17393.03 98
FC-MVSNet-test81.52 11882.02 10280.03 24088.42 17955.97 32287.95 14893.42 3377.10 5977.38 17490.98 12069.96 7391.79 22668.46 19884.50 17492.33 120
v124078.99 18077.78 18682.64 18583.21 27963.54 22686.62 18890.30 15269.74 20877.33 17585.68 25457.04 21293.76 15273.13 15676.92 25990.62 175
PAPM_NR83.02 9382.41 9384.82 10092.47 7766.37 16887.93 15091.80 10873.82 13577.32 17690.66 12367.90 9194.90 10370.37 17689.48 11893.19 93
ACMM73.20 880.78 13779.84 13583.58 14589.31 14468.37 12989.99 8191.60 11570.28 19677.25 17789.66 14553.37 23793.53 16274.24 14382.85 19988.85 243
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
HQP4-MVS77.24 17895.11 9091.03 162
AUN-MVS79.21 17477.60 19384.05 12988.71 16967.61 14585.84 21087.26 23469.08 22277.23 17988.14 19453.20 23993.47 16575.50 13673.45 30891.06 160
HQP-NCC89.33 13989.17 9976.41 7577.23 179
ACMP_Plane89.33 13989.17 9976.41 7577.23 179
HQP-MVS82.61 9982.02 10284.37 11489.33 13966.98 15889.17 9992.19 8976.41 7577.23 17990.23 13160.17 19195.11 9077.47 11485.99 16391.03 162
TAPA-MVS73.13 979.15 17577.94 18082.79 18189.59 12762.99 24288.16 14291.51 11865.77 26277.14 18391.09 11360.91 18093.21 17350.26 32487.05 14692.17 129
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPR81.66 11680.89 11883.99 13590.27 11064.00 21686.76 18591.77 11268.84 23077.13 18489.50 15067.63 9394.88 10567.55 20488.52 12993.09 95
UniMVSNet_ETH3D79.10 17778.24 17581.70 20186.85 22360.24 27487.28 16888.79 19974.25 12676.84 18590.53 12749.48 28091.56 23267.98 20082.15 20793.29 87
EPNet83.72 7982.92 8886.14 6984.22 26069.48 10391.05 5785.27 25981.30 776.83 18691.65 9566.09 10995.56 6576.00 13093.85 6793.38 83
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
baseline176.98 22476.75 21277.66 27788.13 18555.66 32585.12 22581.89 30373.04 15376.79 18788.90 16862.43 15287.78 29763.30 23871.18 32489.55 221
tttt051779.40 16977.91 18183.90 14088.10 18763.84 21988.37 13384.05 27771.45 17676.78 18889.12 16249.93 27794.89 10470.18 17883.18 19592.96 103
TAMVS78.89 18377.51 19583.03 16887.80 19767.79 14184.72 23385.05 26267.63 24076.75 18987.70 19962.25 15590.82 25258.53 28087.13 14590.49 181
XVG-OURS-SEG-HR80.81 13279.76 13783.96 13785.60 23968.78 11683.54 26390.50 14370.66 19076.71 19091.66 9460.69 18391.26 24076.94 12081.58 21491.83 137
3Dnovator+77.84 485.48 6284.47 7688.51 691.08 9373.49 1793.18 1193.78 2180.79 1076.66 19193.37 6060.40 19096.75 2577.20 11793.73 6995.29 3
LPG-MVS_test82.08 10481.27 11084.50 10989.23 14868.76 11790.22 7791.94 10175.37 9876.64 19291.51 10054.29 22994.91 10078.44 10483.78 18389.83 212
LGP-MVS_train84.50 10989.23 14868.76 11791.94 10175.37 9876.64 19291.51 10054.29 22994.91 10078.44 10483.78 18389.83 212
tfpn200view976.42 23375.37 23279.55 25389.13 15257.65 29885.17 22283.60 28273.41 14776.45 19486.39 24252.12 24791.95 22048.33 33283.75 18589.07 228
thres40076.50 23075.37 23279.86 24389.13 15257.65 29885.17 22283.60 28273.41 14776.45 19486.39 24252.12 24791.95 22048.33 33283.75 18590.00 203
HyFIR lowres test77.53 21475.40 23083.94 13889.59 12766.62 16480.36 29388.64 20756.29 34476.45 19485.17 26657.64 20493.28 17161.34 25783.10 19791.91 135
mvs-test180.88 12779.40 14585.29 8385.13 24769.75 9889.28 9688.10 21474.99 10676.44 19786.72 22557.27 20994.26 12773.53 14883.18 19591.87 136
RRT_MVS80.35 14879.22 15383.74 14287.63 20465.46 18891.08 5688.92 19773.82 13576.44 19790.03 13749.05 28794.25 12876.84 12179.20 24391.51 145
CDS-MVSNet79.07 17877.70 19083.17 16187.60 20568.23 13384.40 24686.20 24967.49 24376.36 19986.54 23861.54 16590.79 25361.86 25187.33 14290.49 181
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
thres100view90076.50 23075.55 22779.33 25489.52 13056.99 30685.83 21183.23 29173.94 13276.32 20087.12 21751.89 25491.95 22048.33 33283.75 18589.07 228
thres600view776.50 23075.44 22879.68 24889.40 13557.16 30385.53 21983.23 29173.79 13776.26 20187.09 21851.89 25491.89 22348.05 33783.72 18890.00 203
UGNet80.83 13179.59 14184.54 10888.04 18968.09 13589.42 9488.16 21276.95 6276.22 20289.46 15449.30 28393.94 14068.48 19790.31 10691.60 142
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
test_djsdf80.30 14979.32 14983.27 15583.98 26565.37 19290.50 6790.38 14668.55 23476.19 20388.70 17256.44 21593.46 16678.98 10080.14 23290.97 165
v14878.72 18577.80 18581.47 20682.73 29361.96 25386.30 19788.08 21673.26 14976.18 20485.47 26062.46 15192.36 20671.92 16473.82 30590.09 197
WTY-MVS75.65 24375.68 22575.57 29886.40 23056.82 30877.92 31982.40 30065.10 26876.18 20487.72 19863.13 14380.90 33860.31 26381.96 20989.00 237
mvs_anonymous79.42 16879.11 15680.34 23484.45 25757.97 29282.59 27387.62 22667.40 24476.17 20688.56 17968.47 8789.59 26970.65 17486.05 16193.47 82
Anonymous2023121178.97 18177.69 19182.81 17890.54 10664.29 21290.11 7991.51 11865.01 27176.16 20788.13 19550.56 26893.03 18869.68 18577.56 25491.11 158
thisisatest051577.33 21875.38 23183.18 16085.27 24363.80 22082.11 27783.27 29065.06 26975.91 20883.84 28349.54 27994.27 12367.24 20986.19 15991.48 149
CANet_DTU80.61 14079.87 13482.83 17685.60 23963.17 23887.36 16488.65 20676.37 7975.88 20988.44 18253.51 23693.07 18473.30 15389.74 11692.25 125
thres20075.55 24474.47 24278.82 26087.78 20057.85 29583.07 27083.51 28572.44 15975.84 21084.42 27552.08 24991.75 22747.41 33983.64 18986.86 287
CHOSEN 1792x268877.63 21375.69 22483.44 14889.98 12168.58 12778.70 31187.50 22956.38 34375.80 21186.84 22158.67 19691.40 23761.58 25485.75 16690.34 186
AdaColmapbinary80.58 14379.42 14484.06 12793.09 6168.91 11489.36 9588.97 19469.27 21475.70 21289.69 14457.20 21195.77 6063.06 23988.41 13187.50 271
c3_l78.75 18477.91 18181.26 21282.89 29061.56 25884.09 25389.13 18769.97 20175.56 21384.29 27766.36 10592.09 21673.47 15175.48 28390.12 194
miper_ehance_all_eth78.59 18977.76 18881.08 21982.66 29561.56 25883.65 25889.15 18568.87 22975.55 21483.79 28566.49 10392.03 21773.25 15476.39 27089.64 218
miper_enhance_ethall77.87 20876.86 20680.92 22381.65 30961.38 26082.68 27288.98 19265.52 26675.47 21582.30 30265.76 11592.00 21972.95 15776.39 27089.39 223
3Dnovator76.31 583.38 8782.31 9686.59 6087.94 19272.94 2990.64 6392.14 9177.21 5475.47 21592.83 7458.56 19794.72 11173.24 15592.71 7792.13 130
jajsoiax79.29 17277.96 17983.27 15584.68 25466.57 16689.25 9890.16 15569.20 21875.46 21789.49 15145.75 31093.13 18176.84 12180.80 22290.11 195
IterMVS-LS80.06 15379.38 14682.11 19385.89 23463.20 23686.79 18289.34 17574.19 12775.45 21886.72 22566.62 10192.39 20472.58 16076.86 26290.75 171
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
BH-untuned79.47 16578.60 16582.05 19489.19 15065.91 17686.07 20388.52 20972.18 16275.42 21987.69 20061.15 17693.54 16160.38 26286.83 15086.70 291
mvs_tets79.13 17677.77 18783.22 15984.70 25366.37 16889.17 9990.19 15469.38 21275.40 22089.46 15444.17 31593.15 17976.78 12380.70 22490.14 192
HY-MVS69.67 1277.95 20577.15 20080.36 23387.57 20960.21 27583.37 26587.78 22466.11 25775.37 22187.06 22063.27 13690.48 25861.38 25682.43 20590.40 185
GBi-Net78.40 19177.40 19681.40 20887.60 20563.01 23988.39 13089.28 17771.63 16975.34 22287.28 20954.80 22191.11 24362.72 24079.57 23590.09 197
test178.40 19177.40 19681.40 20887.60 20563.01 23988.39 13089.28 17771.63 16975.34 22287.28 20954.80 22191.11 24362.72 24079.57 23590.09 197
FMVSNet377.88 20776.85 20780.97 22286.84 22462.36 24686.52 19188.77 20071.13 17975.34 22286.66 23254.07 23291.10 24662.72 24079.57 23589.45 222
CostFormer75.24 24973.90 24879.27 25582.65 29658.27 28780.80 28682.73 29861.57 30675.33 22583.13 29255.52 21791.07 24964.98 22878.34 24988.45 253
FMVSNet278.20 19777.21 19981.20 21587.60 20562.89 24387.47 16289.02 19071.63 16975.29 22687.28 20954.80 22191.10 24662.38 24479.38 23989.61 219
v879.97 15779.02 15882.80 17984.09 26264.50 20787.96 14790.29 15374.13 13075.24 22786.81 22262.88 14593.89 14674.39 14175.40 28790.00 203
anonymousdsp78.60 18877.15 20082.98 17180.51 32667.08 15687.24 16989.53 17165.66 26475.16 22887.19 21552.52 24092.25 21177.17 11879.34 24089.61 219
QAPM80.88 12779.50 14385.03 9088.01 19168.97 11391.59 4492.00 9766.63 25375.15 22992.16 8557.70 20395.45 7263.52 23488.76 12590.66 174
v1079.74 15978.67 16382.97 17284.06 26364.95 19887.88 15390.62 14073.11 15175.11 23086.56 23761.46 16894.05 13673.68 14675.55 28189.90 209
Vis-MVSNet (Re-imp)78.36 19378.45 16878.07 27288.64 17151.78 34786.70 18679.63 32674.14 12975.11 23090.83 12161.29 17389.75 26658.10 28491.60 9192.69 110
cl2278.07 20177.01 20281.23 21382.37 30261.83 25583.55 26287.98 21868.96 22775.06 23283.87 28161.40 17091.88 22473.53 14876.39 27089.98 206
ACMP74.13 681.51 12080.57 12284.36 11589.42 13468.69 12489.97 8291.50 12174.46 12175.04 23390.41 12853.82 23494.54 11577.56 11382.91 19889.86 211
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Effi-MVS+-dtu80.03 15478.57 16684.42 11385.13 24768.74 11988.77 11688.10 21474.99 10674.97 23483.49 28957.27 20993.36 16973.53 14880.88 22091.18 156
XXY-MVS75.41 24775.56 22674.96 30483.59 27157.82 29680.59 29183.87 28066.54 25474.93 23588.31 18563.24 13780.09 34162.16 24776.85 26386.97 285
eth_miper_zixun_eth77.92 20676.69 21381.61 20483.00 28761.98 25283.15 26789.20 18369.52 21074.86 23684.35 27661.76 16192.56 19871.50 16772.89 31390.28 188
GA-MVS76.87 22675.17 23581.97 19782.75 29262.58 24481.44 28586.35 24872.16 16474.74 23782.89 29446.20 30492.02 21868.85 19481.09 21891.30 154
sss73.60 26073.64 25173.51 31582.80 29155.01 32776.12 32581.69 30662.47 30074.68 23885.85 25257.32 20878.11 34860.86 26080.93 21987.39 272
BH-w/o78.21 19677.33 19880.84 22488.81 16365.13 19684.87 23087.85 22369.75 20674.52 23984.74 27361.34 17193.11 18258.24 28385.84 16584.27 321
FMVSNet177.44 21576.12 22281.40 20886.81 22563.01 23988.39 13089.28 17770.49 19374.39 24087.28 20949.06 28691.11 24360.91 25978.52 24590.09 197
cl____77.72 21076.76 21080.58 22982.49 29960.48 27183.09 26887.87 22169.22 21674.38 24185.22 26562.10 15891.53 23371.09 16975.41 28689.73 217
DIV-MVS_self_test77.72 21076.76 21080.58 22982.48 30060.48 27183.09 26887.86 22269.22 21674.38 24185.24 26462.10 15891.53 23371.09 16975.40 28789.74 216
114514_t80.68 13879.51 14284.20 12194.09 4167.27 15389.64 9291.11 13158.75 32974.08 24390.72 12258.10 19995.04 9569.70 18489.42 11990.30 187
WR-MVS_H78.51 19078.49 16778.56 26488.02 19056.38 31788.43 12692.67 6777.14 5773.89 24487.55 20466.25 10789.24 27558.92 27573.55 30790.06 201
bld_raw_dy_0_6477.29 22075.98 22381.22 21485.04 25065.47 18788.14 14477.56 33569.20 21873.77 24589.40 16042.24 32888.85 28576.78 12381.64 21389.33 225
tpm273.26 26571.46 26778.63 26283.34 27656.71 31180.65 29080.40 31956.63 34273.55 24682.02 30751.80 25691.24 24156.35 29878.42 24887.95 259
CP-MVSNet78.22 19578.34 17277.84 27487.83 19654.54 33087.94 14991.17 12977.65 4073.48 24788.49 18062.24 15688.43 28962.19 24674.07 30090.55 179
pm-mvs177.25 22176.68 21478.93 25984.22 26058.62 28486.41 19388.36 21171.37 17773.31 24888.01 19661.22 17589.15 27764.24 23273.01 31289.03 234
PS-CasMVS78.01 20478.09 17777.77 27687.71 20154.39 33288.02 14591.22 12677.50 4873.26 24988.64 17560.73 18188.41 29061.88 25073.88 30490.53 180
CVMVSNet72.99 26972.58 25974.25 31184.28 25850.85 35386.41 19383.45 28844.56 35973.23 25087.54 20549.38 28185.70 31065.90 22078.44 24786.19 298
PEN-MVS77.73 20977.69 19177.84 27487.07 22153.91 33587.91 15191.18 12877.56 4573.14 25188.82 17161.23 17489.17 27659.95 26572.37 31590.43 183
1112_ss77.40 21776.43 21880.32 23589.11 15660.41 27383.65 25887.72 22562.13 30373.05 25286.72 22562.58 14989.97 26362.11 24980.80 22290.59 178
tpm72.37 27571.71 26674.35 31082.19 30452.00 34579.22 30577.29 33964.56 27572.95 25383.68 28851.35 25983.26 32958.33 28275.80 27787.81 263
cascas76.72 22874.64 23882.99 17085.78 23665.88 17782.33 27589.21 18260.85 31172.74 25481.02 31347.28 29693.75 15367.48 20585.02 16889.34 224
CR-MVSNet73.37 26271.27 27179.67 24981.32 31865.19 19475.92 32780.30 32059.92 31872.73 25581.19 31052.50 24186.69 30359.84 26677.71 25187.11 283
RPMNet73.51 26170.49 27782.58 18781.32 31865.19 19475.92 32792.27 8357.60 33672.73 25576.45 34652.30 24495.43 7448.14 33677.71 25187.11 283
DTE-MVSNet76.99 22376.80 20877.54 28186.24 23153.06 34387.52 16090.66 13977.08 6072.50 25788.67 17460.48 18789.52 27057.33 29170.74 32690.05 202
Test_1112_low_res76.40 23475.44 22879.27 25589.28 14658.09 28881.69 28187.07 23759.53 32272.48 25886.67 23161.30 17289.33 27360.81 26180.15 23190.41 184
v7n78.97 18177.58 19483.14 16283.45 27465.51 18588.32 13491.21 12773.69 13872.41 25986.32 24457.93 20093.81 14869.18 18975.65 27990.11 195
SCA74.22 25572.33 26279.91 24284.05 26462.17 25079.96 29879.29 32866.30 25672.38 26080.13 32251.95 25288.60 28759.25 27177.67 25388.96 239
CNLPA78.08 20076.79 20981.97 19790.40 10971.07 6987.59 15984.55 26866.03 26072.38 26089.64 14657.56 20586.04 30859.61 26883.35 19288.79 246
NR-MVSNet80.23 15079.38 14682.78 18287.80 19763.34 23286.31 19691.09 13279.01 2872.17 26289.07 16367.20 9892.81 19466.08 21975.65 27992.20 127
OpenMVScopyleft72.83 1079.77 15878.33 17384.09 12585.17 24469.91 9390.57 6590.97 13366.70 24972.17 26291.91 8954.70 22593.96 13761.81 25290.95 10088.41 255
MVS78.19 19876.99 20481.78 19985.66 23766.99 15784.66 23490.47 14455.08 34872.02 26485.27 26363.83 13094.11 13566.10 21889.80 11584.24 322
XVG-ACMP-BASELINE76.11 23874.27 24581.62 20283.20 28064.67 20383.60 26189.75 16669.75 20671.85 26587.09 21832.78 35792.11 21569.99 18180.43 22888.09 258
PatchmatchNetpermissive73.12 26771.33 27078.49 26783.18 28160.85 26579.63 30078.57 33064.13 28071.73 26679.81 32751.20 26185.97 30957.40 29076.36 27388.66 249
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmrst72.39 27372.13 26373.18 31980.54 32549.91 35679.91 29979.08 32963.11 29071.69 26779.95 32455.32 21882.77 33165.66 22373.89 30386.87 286
TransMVSNet (Re)75.39 24874.56 24077.86 27385.50 24157.10 30586.78 18386.09 25272.17 16371.53 26887.34 20863.01 14489.31 27456.84 29561.83 34987.17 279
Fast-Effi-MVS+-dtu78.02 20376.49 21682.62 18683.16 28366.96 16186.94 17687.45 23172.45 15771.49 26984.17 27854.79 22491.58 23167.61 20380.31 22989.30 226
PAPM77.68 21276.40 21981.51 20587.29 21761.85 25483.78 25689.59 17064.74 27371.23 27088.70 17262.59 14893.66 15652.66 31187.03 14789.01 235
tfpnnormal74.39 25273.16 25578.08 27186.10 23358.05 28984.65 23787.53 22870.32 19571.22 27185.63 25654.97 22089.86 26443.03 35375.02 29386.32 295
RPSCF73.23 26671.46 26778.54 26582.50 29859.85 27682.18 27682.84 29758.96 32671.15 27289.41 15845.48 31284.77 31858.82 27771.83 32091.02 164
PatchT68.46 30367.85 29770.29 33180.70 32343.93 36672.47 34074.88 34760.15 31670.55 27376.57 34549.94 27581.59 33450.58 31874.83 29585.34 309
CL-MVSNet_self_test72.37 27571.46 26775.09 30379.49 33953.53 33780.76 28885.01 26369.12 22170.51 27482.05 30657.92 20184.13 32152.27 31266.00 34187.60 267
IterMVS-SCA-FT75.43 24673.87 24980.11 23982.69 29464.85 20081.57 28383.47 28769.16 22070.49 27584.15 27951.95 25288.15 29269.23 18872.14 31887.34 274
miper_lstm_enhance74.11 25673.11 25677.13 28780.11 32959.62 27872.23 34186.92 24066.76 24870.40 27682.92 29356.93 21382.92 33069.06 19172.63 31488.87 242
gg-mvs-nofinetune69.95 29267.96 29575.94 29483.07 28454.51 33177.23 32270.29 35763.11 29070.32 27762.33 36043.62 31888.69 28653.88 30687.76 13584.62 320
DP-MVS76.78 22774.57 23983.42 14993.29 5469.46 10688.55 12583.70 28163.98 28570.20 27888.89 16954.01 23394.80 10846.66 34181.88 21186.01 303
pmmvs674.69 25173.39 25278.61 26381.38 31557.48 30186.64 18787.95 21964.99 27270.18 27986.61 23350.43 27089.52 27062.12 24870.18 32888.83 244
PVSNet64.34 1872.08 27770.87 27675.69 29686.21 23256.44 31574.37 33780.73 31362.06 30470.17 28082.23 30442.86 32283.31 32854.77 30384.45 17787.32 275
131476.53 22975.30 23480.21 23783.93 26662.32 24884.66 23488.81 19860.23 31570.16 28184.07 28055.30 21990.73 25567.37 20683.21 19487.59 269
Patchmtry70.74 28369.16 28575.49 30080.72 32254.07 33474.94 33680.30 32058.34 33070.01 28281.19 31052.50 24186.54 30453.37 30871.09 32585.87 306
EPMVS69.02 29768.16 29271.59 32379.61 33749.80 35877.40 32166.93 36562.82 29670.01 28279.05 32945.79 30877.86 35056.58 29675.26 29187.13 282
IterMVS74.29 25372.94 25778.35 26881.53 31263.49 22881.58 28282.49 29968.06 23969.99 28483.69 28751.66 25885.54 31165.85 22171.64 32186.01 303
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test-LLR72.94 27072.43 26074.48 30881.35 31658.04 29078.38 31277.46 33666.66 25069.95 28579.00 33148.06 29279.24 34266.13 21684.83 17086.15 299
test-mter71.41 27970.39 28074.48 30881.35 31658.04 29078.38 31277.46 33660.32 31469.95 28579.00 33136.08 35179.24 34266.13 21684.83 17086.15 299
pmmvs474.03 25871.91 26480.39 23281.96 30668.32 13081.45 28482.14 30159.32 32369.87 28785.13 26752.40 24388.13 29360.21 26474.74 29684.73 318
PLCcopyleft70.83 1178.05 20276.37 22083.08 16591.88 8567.80 14088.19 14089.46 17364.33 27969.87 28788.38 18353.66 23593.58 15758.86 27682.73 20187.86 262
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
LTVRE_ROB69.57 1376.25 23674.54 24181.41 20788.60 17264.38 21179.24 30489.12 18870.76 18869.79 28987.86 19749.09 28593.20 17556.21 29980.16 23086.65 292
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
LS3D76.95 22574.82 23783.37 15290.45 10767.36 15289.15 10386.94 23961.87 30569.52 29090.61 12451.71 25794.53 11646.38 34486.71 15288.21 257
IB-MVS68.01 1575.85 24173.36 25383.31 15384.76 25266.03 17283.38 26485.06 26170.21 19869.40 29181.05 31245.76 30994.66 11265.10 22775.49 28289.25 227
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
PatchMatch-RL72.38 27470.90 27476.80 29088.60 17267.38 15179.53 30176.17 34462.75 29769.36 29282.00 30845.51 31184.89 31753.62 30780.58 22578.12 354
MDTV_nov1_ep1369.97 28283.18 28153.48 33877.10 32380.18 32360.45 31269.33 29380.44 31948.89 29086.90 30251.60 31578.51 246
D2MVS74.82 25073.21 25479.64 25079.81 33362.56 24580.34 29487.35 23264.37 27868.86 29482.66 29846.37 30190.10 26267.91 20181.24 21786.25 296
PMMVS69.34 29568.67 28771.35 32775.67 35362.03 25175.17 33173.46 35250.00 35768.68 29579.05 32952.07 25078.13 34761.16 25882.77 20073.90 358
Patchmatch-RL test70.24 28967.78 30077.61 27977.43 34759.57 28071.16 34370.33 35662.94 29468.65 29672.77 35450.62 26785.49 31269.58 18666.58 33987.77 264
MS-PatchMatch73.83 25972.67 25877.30 28483.87 26766.02 17381.82 27884.66 26661.37 30968.61 29782.82 29647.29 29588.21 29159.27 27084.32 17877.68 355
tpm cat170.57 28568.31 29077.35 28382.41 30157.95 29378.08 31680.22 32252.04 35468.54 29877.66 34152.00 25187.84 29651.77 31372.07 31986.25 296
TESTMET0.1,169.89 29369.00 28672.55 32079.27 34256.85 30778.38 31274.71 35057.64 33568.09 29977.19 34337.75 34676.70 35363.92 23384.09 18184.10 325
MIMVSNet70.69 28469.30 28374.88 30584.52 25556.35 31875.87 32979.42 32764.59 27467.76 30082.41 30041.10 33381.54 33546.64 34381.34 21586.75 290
ACMH+68.96 1476.01 23974.01 24682.03 19588.60 17265.31 19388.86 11187.55 22770.25 19767.75 30187.47 20741.27 33293.19 17758.37 28175.94 27687.60 267
LCM-MVSNet-Re77.05 22276.94 20577.36 28287.20 21851.60 34880.06 29680.46 31875.20 10267.69 30286.72 22562.48 15088.98 28063.44 23689.25 12091.51 145
ITE_SJBPF78.22 26981.77 30860.57 26983.30 28969.25 21567.54 30387.20 21436.33 35087.28 30154.34 30474.62 29786.80 288
pmmvs571.55 27870.20 28175.61 29777.83 34556.39 31681.74 28080.89 31057.76 33467.46 30484.49 27449.26 28485.32 31457.08 29375.29 29085.11 314
MVP-Stereo76.12 23774.46 24381.13 21885.37 24269.79 9684.42 24587.95 21965.03 27067.46 30485.33 26253.28 23891.73 22958.01 28583.27 19381.85 341
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
test_040272.79 27170.44 27879.84 24488.13 18565.99 17485.93 20684.29 27365.57 26567.40 30685.49 25946.92 29892.61 19635.88 36274.38 29980.94 346
GG-mvs-BLEND75.38 30181.59 31155.80 32379.32 30369.63 35967.19 30773.67 35343.24 31988.90 28450.41 31984.50 17481.45 343
tpmvs71.09 28169.29 28476.49 29182.04 30556.04 32178.92 30981.37 30964.05 28367.18 30878.28 33649.74 27889.77 26549.67 32772.37 31583.67 327
OurMVSNet-221017-074.26 25472.42 26179.80 24583.76 26959.59 27985.92 20786.64 24266.39 25566.96 30987.58 20239.46 33891.60 23065.76 22269.27 33088.22 256
baseline275.70 24273.83 25081.30 21183.26 27861.79 25682.57 27480.65 31466.81 24666.88 31083.42 29057.86 20292.19 21363.47 23579.57 23589.91 208
MVS_030472.48 27270.89 27577.24 28582.20 30359.68 27784.11 25283.49 28667.10 24566.87 31180.59 31835.00 35487.40 29959.07 27479.58 23484.63 319
F-COLMAP76.38 23574.33 24482.50 18889.28 14666.95 16288.41 12989.03 18964.05 28366.83 31288.61 17646.78 29992.89 19057.48 28878.55 24487.67 265
ACMH67.68 1675.89 24073.93 24781.77 20088.71 16966.61 16588.62 12289.01 19169.81 20366.78 31386.70 23041.95 33191.51 23555.64 30078.14 25087.17 279
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test0.0.03 168.00 30467.69 30168.90 33677.55 34647.43 36075.70 33072.95 35466.66 25066.56 31482.29 30348.06 29275.87 35744.97 35074.51 29883.41 329
MDTV_nov1_ep13_2view37.79 37175.16 33255.10 34766.53 31549.34 28253.98 30587.94 260
KD-MVS_2432*160066.22 31563.89 31673.21 31675.47 35653.42 33970.76 34684.35 27164.10 28166.52 31678.52 33434.55 35584.98 31550.40 32050.33 36481.23 344
miper_refine_blended66.22 31563.89 31673.21 31675.47 35653.42 33970.76 34684.35 27164.10 28166.52 31678.52 33434.55 35584.98 31550.40 32050.33 36481.23 344
ET-MVSNet_ETH3D78.63 18776.63 21584.64 10586.73 22769.47 10485.01 22784.61 26769.54 20966.51 31886.59 23450.16 27291.75 22776.26 12684.24 18092.69 110
EU-MVSNet68.53 30267.61 30271.31 32878.51 34447.01 36284.47 24084.27 27442.27 36066.44 31984.79 27240.44 33683.76 32358.76 27868.54 33583.17 331
EPNet_dtu75.46 24574.86 23677.23 28682.57 29754.60 32986.89 17883.09 29471.64 16866.25 32085.86 25155.99 21688.04 29454.92 30286.55 15489.05 233
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Anonymous2023120668.60 30067.80 29971.02 32980.23 32850.75 35478.30 31580.47 31756.79 34166.11 32182.63 29946.35 30278.95 34443.62 35275.70 27883.36 330
SixPastTwentyTwo73.37 26271.26 27279.70 24785.08 24957.89 29485.57 21383.56 28471.03 18265.66 32285.88 25042.10 32992.57 19759.11 27363.34 34788.65 250
MSDG73.36 26470.99 27380.49 23184.51 25665.80 18080.71 28986.13 25165.70 26365.46 32383.74 28644.60 31390.91 25151.13 31776.89 26184.74 317
OpenMVS_ROBcopyleft64.09 1970.56 28668.19 29177.65 27880.26 32759.41 28185.01 22782.96 29658.76 32865.43 32482.33 30137.63 34791.23 24245.34 34976.03 27582.32 338
ppachtmachnet_test70.04 29167.34 30478.14 27079.80 33461.13 26179.19 30680.59 31559.16 32565.27 32579.29 32846.75 30087.29 30049.33 32866.72 33786.00 305
ADS-MVSNet266.20 31763.33 31974.82 30679.92 33158.75 28367.55 35675.19 34653.37 35165.25 32675.86 34742.32 32580.53 34041.57 35668.91 33285.18 311
ADS-MVSNet64.36 32162.88 32368.78 33879.92 33147.17 36167.55 35671.18 35553.37 35165.25 32675.86 34742.32 32573.99 36441.57 35668.91 33285.18 311
testgi66.67 31166.53 30967.08 34275.62 35441.69 36975.93 32676.50 34366.11 25765.20 32886.59 23435.72 35274.71 36143.71 35173.38 31084.84 316
PM-MVS66.41 31364.14 31573.20 31873.92 36056.45 31478.97 30864.96 36963.88 28764.72 32980.24 32119.84 36983.44 32766.24 21564.52 34579.71 351
JIA-IIPM66.32 31462.82 32476.82 28977.09 34961.72 25765.34 35975.38 34558.04 33364.51 33062.32 36142.05 33086.51 30551.45 31669.22 33182.21 339
ambc75.24 30273.16 36450.51 35563.05 36387.47 23064.28 33177.81 34017.80 37089.73 26757.88 28660.64 35285.49 307
EG-PatchMatch MVS74.04 25771.82 26580.71 22784.92 25167.42 14985.86 20988.08 21666.04 25964.22 33283.85 28235.10 35392.56 19857.44 28980.83 22182.16 340
dp66.80 30965.43 31170.90 33079.74 33648.82 35975.12 33474.77 34859.61 32064.08 33377.23 34242.89 32180.72 33948.86 33066.58 33983.16 332
KD-MVS_self_test68.81 29867.59 30372.46 32174.29 35945.45 36377.93 31887.00 23863.12 28963.99 33478.99 33342.32 32584.77 31856.55 29764.09 34687.16 281
pmmvs-eth3d70.50 28767.83 29878.52 26677.37 34866.18 17181.82 27881.51 30758.90 32763.90 33580.42 32042.69 32386.28 30758.56 27965.30 34383.11 333
COLMAP_ROBcopyleft66.92 1773.01 26870.41 27980.81 22587.13 22065.63 18388.30 13584.19 27662.96 29363.80 33687.69 20038.04 34592.56 19846.66 34174.91 29484.24 322
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
FMVSNet569.50 29467.96 29574.15 31282.97 28955.35 32680.01 29782.12 30262.56 29963.02 33781.53 30936.92 34881.92 33348.42 33174.06 30185.17 313
test20.0367.45 30666.95 30768.94 33575.48 35544.84 36577.50 32077.67 33466.66 25063.01 33883.80 28447.02 29778.40 34642.53 35568.86 33483.58 328
K. test v371.19 28068.51 28879.21 25783.04 28657.78 29784.35 24776.91 34272.90 15662.99 33982.86 29539.27 33991.09 24861.65 25352.66 36188.75 247
our_test_369.14 29667.00 30675.57 29879.80 33458.80 28277.96 31777.81 33359.55 32162.90 34078.25 33747.43 29483.97 32251.71 31467.58 33683.93 326
CHOSEN 280x42066.51 31264.71 31371.90 32281.45 31363.52 22757.98 36468.95 36353.57 35062.59 34176.70 34446.22 30375.29 36055.25 30179.68 23376.88 357
Anonymous2024052168.80 29967.22 30573.55 31474.33 35854.11 33383.18 26685.61 25658.15 33161.68 34280.94 31530.71 36181.27 33757.00 29473.34 31185.28 310
USDC70.33 28868.37 28976.21 29380.60 32456.23 31979.19 30686.49 24460.89 31061.29 34385.47 26031.78 36089.47 27253.37 30876.21 27482.94 337
lessismore_v078.97 25881.01 32157.15 30465.99 36661.16 34482.82 29639.12 34091.34 23959.67 26746.92 36688.43 254
UnsupCasMVSNet_eth67.33 30765.99 31071.37 32573.48 36251.47 35075.16 33285.19 26065.20 26760.78 34580.93 31742.35 32477.20 35257.12 29253.69 36085.44 308
AllTest70.96 28268.09 29479.58 25185.15 24563.62 22284.58 23979.83 32462.31 30160.32 34686.73 22332.02 35888.96 28250.28 32271.57 32286.15 299
TestCases79.58 25185.15 24563.62 22279.83 32462.31 30160.32 34686.73 22332.02 35888.96 28250.28 32271.57 32286.15 299
Patchmatch-test64.82 32063.24 32069.57 33379.42 34049.82 35763.49 36269.05 36251.98 35559.95 34880.13 32250.91 26370.98 36640.66 35873.57 30687.90 261
MIMVSNet168.58 30166.78 30873.98 31380.07 33051.82 34680.77 28784.37 27064.40 27759.75 34982.16 30536.47 34983.63 32542.73 35470.33 32786.48 294
LF4IMVS64.02 32262.19 32569.50 33470.90 36753.29 34276.13 32477.18 34052.65 35358.59 35080.98 31423.55 36676.52 35453.06 31066.66 33878.68 353
PVSNet_057.27 2061.67 32559.27 32868.85 33779.61 33757.44 30268.01 35573.44 35355.93 34558.54 35170.41 35744.58 31477.55 35147.01 34035.91 36771.55 360
TDRefinement67.49 30564.34 31476.92 28873.47 36361.07 26284.86 23182.98 29559.77 31958.30 35285.13 26726.06 36387.89 29547.92 33860.59 35381.81 342
UnsupCasMVSNet_bld63.70 32361.53 32770.21 33273.69 36151.39 35172.82 33981.89 30355.63 34657.81 35371.80 35638.67 34178.61 34549.26 32952.21 36280.63 347
DSMNet-mixed57.77 32856.90 33060.38 34667.70 36935.61 37269.18 35153.97 37432.30 36957.49 35479.88 32540.39 33768.57 36838.78 36072.37 31576.97 356
N_pmnet52.79 33153.26 33251.40 35178.99 3437.68 38269.52 3493.89 38251.63 35657.01 35574.98 35140.83 33565.96 36937.78 36164.67 34480.56 349
new-patchmatchnet61.73 32461.73 32661.70 34572.74 36624.50 37969.16 35278.03 33261.40 30756.72 35675.53 35038.42 34276.48 35545.95 34657.67 35584.13 324
CMPMVSbinary51.72 2170.19 29068.16 29276.28 29273.15 36557.55 30079.47 30283.92 27848.02 35856.48 35784.81 27143.13 32086.42 30662.67 24381.81 21284.89 315
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
TinyColmap67.30 30864.81 31274.76 30781.92 30756.68 31280.29 29581.49 30860.33 31356.27 35883.22 29124.77 36487.66 29845.52 34769.47 32979.95 350
YYNet165.03 31862.91 32271.38 32475.85 35256.60 31369.12 35374.66 35157.28 33954.12 35977.87 33945.85 30774.48 36249.95 32561.52 35183.05 334
MDA-MVSNet_test_wron65.03 31862.92 32171.37 32575.93 35156.73 30969.09 35474.73 34957.28 33954.03 36077.89 33845.88 30674.39 36349.89 32661.55 35082.99 336
pmmvs357.79 32754.26 33168.37 33964.02 37156.72 31075.12 33465.17 36740.20 36252.93 36169.86 35820.36 36875.48 35945.45 34855.25 35972.90 359
MVS-HIRNet59.14 32657.67 32963.57 34481.65 30943.50 36771.73 34265.06 36839.59 36451.43 36257.73 36438.34 34382.58 33239.53 35973.95 30264.62 363
MDA-MVSNet-bldmvs66.68 31063.66 31875.75 29579.28 34160.56 27073.92 33878.35 33164.43 27650.13 36379.87 32644.02 31683.67 32446.10 34556.86 35683.03 335
new_pmnet50.91 33350.29 33452.78 35068.58 36834.94 37463.71 36156.63 37339.73 36344.95 36465.47 35921.93 36758.48 37034.98 36356.62 35764.92 362
FPMVS53.68 33051.64 33359.81 34765.08 37051.03 35269.48 35069.58 36041.46 36140.67 36572.32 35516.46 37270.00 36724.24 36965.42 34258.40 366
LCM-MVSNet54.25 32949.68 33567.97 34053.73 37445.28 36466.85 35880.78 31235.96 36639.45 36662.23 3628.70 37878.06 34948.24 33551.20 36380.57 348
PMMVS240.82 33738.86 34046.69 35253.84 37316.45 38048.61 36749.92 37537.49 36531.67 36760.97 3638.14 37956.42 37128.42 36630.72 36967.19 361
ANet_high50.57 33446.10 33763.99 34348.67 37739.13 37070.99 34580.85 31161.39 30831.18 36857.70 36517.02 37173.65 36531.22 36415.89 37479.18 352
Gipumacopyleft45.18 33541.86 33855.16 34977.03 35051.52 34932.50 37080.52 31632.46 36827.12 36935.02 3709.52 37775.50 35822.31 37060.21 35438.45 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 33640.28 33955.82 34840.82 37942.54 36865.12 36063.99 37034.43 36724.48 37057.12 3663.92 38076.17 35617.10 37255.52 35848.75 367
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepMVS_CXcopyleft27.40 35740.17 38026.90 37724.59 38117.44 37323.95 37148.61 3689.77 37626.48 37618.06 37124.47 37028.83 370
tmp_tt18.61 34321.40 34610.23 3594.82 38210.11 38134.70 36930.74 3801.48 37623.91 37226.07 37328.42 36213.41 37827.12 36715.35 3757.17 373
test_method31.52 33929.28 34338.23 35427.03 3816.50 38320.94 37262.21 3724.05 37522.35 37352.50 36713.33 37347.58 37427.04 36834.04 36860.62 364
MVEpermissive26.22 2330.37 34125.89 34543.81 35344.55 37835.46 37328.87 37139.07 37818.20 37218.58 37440.18 3692.68 38147.37 37517.07 37323.78 37148.60 368
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN31.77 33830.64 34135.15 35552.87 37527.67 37657.09 36547.86 37624.64 37016.40 37533.05 37111.23 37554.90 37214.46 37418.15 37222.87 371
EMVS30.81 34029.65 34234.27 35650.96 37625.95 37856.58 36646.80 37724.01 37115.53 37630.68 37212.47 37454.43 37312.81 37517.05 37322.43 372
wuyk23d16.82 34415.94 34719.46 35858.74 37231.45 37539.22 3683.74 3836.84 3746.04 3772.70 3771.27 38224.29 37710.54 37614.40 3762.63 374
EGC-MVSNET52.07 33247.05 33667.14 34183.51 27360.71 26780.50 29267.75 3640.07 3770.43 37875.85 34924.26 36581.54 33528.82 36562.25 34859.16 365
testmvs6.04 3478.02 3500.10 3610.08 3830.03 38569.74 3480.04 3840.05 3780.31 3791.68 3780.02 3840.04 3790.24 3770.02 3770.25 376
test1236.12 3468.11 3490.14 3600.06 3840.09 38471.05 3440.03 3850.04 3790.25 3801.30 3790.05 3830.03 3800.21 3780.01 3780.29 375
test_blank0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
uanet_test0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
DCPMVS0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
cdsmvs_eth3d_5k19.96 34226.61 3440.00 3620.00 3850.00 3860.00 37389.26 1800.00 3800.00 38188.61 17661.62 1640.00 3810.00 3790.00 3790.00 377
pcd_1.5k_mvsjas5.26 3487.02 3510.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 38063.15 1400.00 3810.00 3790.00 3790.00 377
sosnet-low-res0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
sosnet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
uncertanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
Regformer0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
ab-mvs-re7.23 3459.64 3480.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 38186.72 2250.00 3850.00 3810.00 3790.00 3790.00 377
uanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
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-test20.00 385
eth-test0.00 385
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5496.48 894.88 11
save fliter93.80 4472.35 4590.47 6991.17 12974.31 123
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 42
GSMVS88.96 239
sam_mvs151.32 26088.96 239
sam_mvs50.01 273
MTGPAbinary92.02 94
test_post178.90 3105.43 37648.81 29185.44 31359.25 271
test_post5.46 37550.36 27184.24 320
patchmatchnet-post74.00 35251.12 26288.60 287
MTMP92.18 3532.83 379
gm-plane-assit81.40 31453.83 33662.72 29880.94 31592.39 20463.40 237
test9_res84.90 3395.70 3192.87 105
agg_prior282.91 6595.45 3392.70 108
test_prior472.60 3589.01 106
test_prior86.33 6392.61 7469.59 10092.97 5495.48 7093.91 55
新几何286.29 198
旧先验191.96 8265.79 18186.37 24793.08 6969.31 8192.74 7688.74 248
无先验87.48 16188.98 19260.00 31794.12 13367.28 20788.97 238
原ACMM286.86 179
testdata291.01 25062.37 245
segment_acmp73.08 45
testdata184.14 25175.71 90
plane_prior790.08 11568.51 128
plane_prior689.84 12468.70 12360.42 188
plane_prior592.44 7595.38 7978.71 10286.32 15791.33 151
plane_prior491.00 118
plane_prior291.25 5279.12 25
plane_prior189.90 123
plane_prior68.71 12190.38 7377.62 4186.16 160
n20.00 386
nn0.00 386
door-mid69.98 358
test1192.23 86
door69.44 361
HQP5-MVS66.98 158
BP-MVS77.47 114
HQP3-MVS92.19 8985.99 163
HQP2-MVS60.17 191
NP-MVS89.62 12668.32 13090.24 130
ACMMP++_ref81.95 210
ACMMP++81.25 216
Test By Simon64.33 125