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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 42
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
IU-MVS95.30 271.25 6392.95 5666.81 24492.39 688.94 1196.63 494.85 17
test_241102_ONE95.30 270.98 7094.06 1277.17 5693.10 195.39 1182.99 197.27 10
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
test072695.27 571.25 6393.60 694.11 877.33 5092.81 395.79 380.98 9
test_one_060195.07 771.46 6194.14 778.27 3792.05 1195.74 680.83 11
test_part295.06 872.65 3391.80 13
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
FOURS195.00 1072.39 4295.06 193.84 1874.49 11891.30 15
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
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
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
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
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5596.48 894.88 12
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
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
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
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
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
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
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
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
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
ZD-MVS94.38 2772.22 4892.67 6770.98 18187.75 3194.07 4574.01 4096.70 2684.66 3994.84 48
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
save fliter93.80 4472.35 4590.47 6791.17 13074.31 122
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
agg_prior92.85 6671.94 5491.78 11084.41 7394.93 98
9.1488.26 1592.84 6891.52 4694.75 173.93 13288.57 2494.67 1975.57 2495.79 5986.77 2395.76 28
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
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
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
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
test1286.80 5592.63 7370.70 8191.79 10982.71 9971.67 5796.16 4794.50 5693.54 80
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_prior86.33 6392.61 7469.59 10192.97 5495.48 7093.91 55
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
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
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
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
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
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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
旧先验191.96 8265.79 18086.37 24893.08 6969.31 8192.74 7688.74 245
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
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
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
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
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
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
test22291.50 8968.26 13384.16 24783.20 29154.63 34879.74 13191.63 9758.97 19591.42 9486.77 288
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_prior790.08 11568.51 129
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
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
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
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
plane_prior189.90 123
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
plane_prior689.84 12468.70 12460.42 188
NP-MVS89.62 12668.32 13190.24 128
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
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
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
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
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
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
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
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
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
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
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
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
HQP-NCC89.33 13889.17 9676.41 7577.23 177
ACMP_Plane89.33 13889.17 9676.41 7577.23 177
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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
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
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
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
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).
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
gm-plane-assit81.40 31253.83 33562.72 29780.94 31392.39 20163.40 235
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
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
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
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
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
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
lessismore_v078.97 25781.01 32057.15 30365.99 36561.16 34382.82 29439.12 33991.34 23859.67 26646.92 36588.43 252
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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)
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
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
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
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
eth-test20.00 384
eth-test0.00 384
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
cdsmvs_eth3d_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
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
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
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
PC_three_145268.21 23692.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 8
test_241102_TWO94.06 1277.24 5292.78 495.72 881.26 897.44 589.07 996.58 694.26 41
test_0728_THIRD78.38 3592.12 995.78 481.46 797.40 789.42 496.57 794.67 24
GSMVS88.96 236
sam_mvs151.32 25988.96 236
sam_mvs50.01 272
MTGPAbinary92.02 94
test_post178.90 3095.43 37548.81 28985.44 31259.25 270
test_post5.46 37450.36 27084.24 319
patchmatchnet-post74.00 35151.12 26188.60 286
MTMP92.18 3432.83 378
test9_res84.90 3395.70 3192.87 105
agg_prior282.91 6695.45 3392.70 108
test_prior472.60 3589.01 103
test_prior288.85 10975.41 9684.91 5893.54 5474.28 3683.31 5895.86 22
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
plane_prior592.44 7595.38 7978.71 9986.32 15791.33 150
plane_prior491.00 117
plane_prior368.60 12778.44 3378.92 141
plane_prior291.25 5079.12 26
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
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