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 bysorted bysort bysort bysort 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 41
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
IU-MVS95.30 271.25 6392.95 5666.81 24392.39 688.94 1196.63 494.85 16
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 85
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 1996.81 2287.45 1996.44 993.05 96
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 53
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 1696.84 2088.48 1495.99 1994.34 36
ACMMPR87.44 2687.23 3188.08 1394.64 1373.59 1293.04 1293.20 3976.78 6884.66 6694.52 2368.81 8596.65 2984.53 4194.90 4594.00 51
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7184.45 7194.52 2369.09 8196.70 2684.37 4494.83 5094.03 48
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5596.48 894.88 11
HFP-MVS87.58 2387.47 2587.94 1794.58 1673.54 1593.04 1293.24 3776.78 6884.91 5794.44 3070.78 6396.61 3284.53 4194.89 4693.66 67
#test#87.33 3187.13 3387.94 1794.58 1673.54 1592.34 2893.24 3775.23 10084.91 5794.44 3070.78 6396.61 3283.75 5694.89 4693.66 67
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3293.49 2974.75 11388.33 2594.43 3273.27 4397.02 1684.18 5194.84 4893.82 61
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8293.82 1973.07 14884.86 6292.89 7176.22 1796.33 3984.89 3595.13 4194.40 33
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 30
DP-MVS Recon83.11 9182.09 9886.15 6894.44 2170.92 7688.79 11192.20 8870.53 18979.17 13691.03 11564.12 12696.03 5068.39 19690.14 10991.50 144
XVS87.18 3486.91 3888.00 1594.42 2273.33 2092.78 1892.99 4979.14 2483.67 8694.17 4067.45 9496.60 3483.06 6294.50 5694.07 46
X-MVStestdata80.37 14477.83 18088.00 1594.42 2273.33 2092.78 1892.99 4979.14 2483.67 8612.47 37267.45 9496.60 3483.06 6294.50 5694.07 46
mPP-MVS86.67 4286.32 4787.72 3294.41 2473.55 1392.74 2092.22 8776.87 6582.81 9794.25 3866.44 10396.24 4282.88 6694.28 6293.38 82
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5292.83 6181.50 685.79 4593.47 5973.02 4697.00 1784.90 3394.94 4494.10 44
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6685.24 5194.32 3571.76 5596.93 1885.53 2995.79 2594.32 37
ZD-MVS94.38 2772.22 4892.67 6770.98 18087.75 3194.07 4574.01 3996.70 2684.66 3994.84 48
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2292.65 7077.57 4383.84 8394.40 3472.24 5196.28 4185.65 2895.30 4093.62 75
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 7
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 31
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 31
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 23
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 3597.24 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
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 4092.83 6173.01 15088.58 2394.52 2373.36 4196.49 3784.26 4795.01 4292.70 107
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 8294.42 3367.87 9196.64 3082.70 7194.57 5593.66 67
CP-MVS87.11 3586.92 3787.68 3794.20 3673.86 893.98 392.82 6476.62 7383.68 8594.46 2767.93 8995.95 5684.20 5094.39 5993.23 88
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7492.02 9479.45 2185.88 4294.80 1668.07 8796.21 4386.69 2495.34 3693.23 88
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18592.02 9479.45 2185.88 4294.80 1668.07 8796.21 4386.69 2495.34 3693.23 88
GST-MVS87.42 2887.26 2987.89 2494.12 3972.97 2592.39 2593.43 3276.89 6484.68 6393.99 5070.67 6696.82 2184.18 5195.01 4293.90 56
SR-MVS86.73 3986.67 4186.91 5294.11 4072.11 5192.37 2792.56 7374.50 11786.84 3794.65 2067.31 9695.77 6084.80 3792.85 7592.84 105
114514_t80.68 13679.51 14084.20 12094.09 4167.27 15289.64 8991.11 13158.75 32774.08 24190.72 12058.10 19895.04 9469.70 18189.42 11890.30 184
test117286.20 5286.22 4986.12 7093.95 4269.89 9691.79 4292.28 8275.07 10486.40 3994.58 2265.00 12195.56 6584.34 4592.60 7892.90 103
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3393.33 3576.07 8583.81 8493.95 5169.77 7596.01 5285.15 3194.66 5294.32 37
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 16874.31 12289.16 1995.10 1375.65 2196.19 4587.07 2196.01 1794.79 18
save fliter93.80 4472.35 4590.47 6791.17 12974.31 122
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6294.05 1570.80 18287.59 3393.51 5677.57 1496.63 3183.31 5795.77 2694.72 22
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5793.59 2576.27 8288.14 2695.09 1571.06 6196.67 2887.67 1696.37 1494.09 45
HPM-MVS_fast85.35 6584.95 7086.57 6193.69 4870.58 8592.15 3591.62 11373.89 13382.67 9994.09 4462.60 14695.54 6880.93 8392.93 7393.57 77
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 2096.00 5387.80 1594.63 5395.04 5
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 4095.29 1270.86 6296.00 5388.78 1296.04 1694.58 26
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMPcopyleft85.89 5685.39 6187.38 4493.59 5172.63 3492.74 2093.18 4176.78 6880.73 12193.82 5364.33 12496.29 4082.67 7290.69 10193.23 88
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 7693.36 6171.44 5996.76 2480.82 8595.33 3894.16 42
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 6587.17 4893.49 5371.08 6888.58 12192.42 7868.32 23484.61 6793.48 5772.32 5096.15 4879.00 9595.43 3494.28 39
DP-MVS76.78 22474.57 23683.42 14593.29 5469.46 10788.55 12283.70 27863.98 28370.20 27688.89 16454.01 23194.80 10746.66 33981.88 20786.01 301
CPTT-MVS83.73 7783.33 8184.92 9693.28 5570.86 7792.09 3690.38 14668.75 22879.57 13292.83 7360.60 18593.04 18480.92 8491.56 9290.86 164
TEST993.26 5672.96 2688.75 11391.89 10368.44 23385.00 5593.10 6574.36 3495.41 76
train_agg86.43 4686.20 5087.13 4993.26 5672.96 2688.75 11391.89 10368.69 22985.00 5593.10 6574.43 3195.41 7684.97 3295.71 3093.02 98
test_893.13 5872.57 3688.68 11891.84 10668.69 22984.87 6193.10 6574.43 3195.16 87
新几何183.42 14593.13 5870.71 8085.48 25657.43 33581.80 10791.98 8763.28 13492.27 20764.60 22892.99 7287.27 274
112180.84 12779.77 13484.05 12793.11 6070.78 7984.66 23085.42 25757.37 33681.76 11092.02 8663.41 13294.12 12967.28 20492.93 7387.26 275
AdaColmapbinary80.58 14079.42 14284.06 12693.09 6168.91 11589.36 9288.97 19469.27 21275.70 21089.69 14157.20 21095.77 6063.06 23788.41 13087.50 269
SR-MVS-dyc-post85.77 5785.61 5886.23 6693.06 6270.63 8291.88 3892.27 8373.53 14185.69 4694.45 2865.00 12195.56 6582.75 6791.87 8792.50 114
RE-MVS-def85.48 5993.06 6270.63 8291.88 3892.27 8373.53 14185.69 4694.45 2863.87 12882.75 6791.87 8792.50 114
原ACMM184.35 11593.01 6468.79 11692.44 7563.96 28481.09 11791.57 9866.06 10995.45 7267.19 20794.82 5188.81 241
CSCG86.41 4886.19 5187.07 5092.91 6572.48 3890.81 5893.56 2673.95 13083.16 9191.07 11275.94 1895.19 8679.94 9394.38 6093.55 78
agg_prior186.22 5186.09 5486.62 5992.85 6671.94 5488.59 12091.78 10968.96 22484.41 7293.18 6474.94 2694.93 9884.75 3895.33 3893.01 99
agg_prior92.85 6671.94 5491.78 10984.41 7294.93 98
9.1488.26 1592.84 6891.52 4694.75 173.93 13288.57 2494.67 1975.57 2395.79 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 2196.19 4587.07 2196.01 1794.79 18
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 2495.84 5886.62 2695.92 2194.78 20
MG-MVS83.41 8483.45 7983.28 15092.74 7162.28 24588.17 13889.50 17275.22 10181.49 11192.74 7966.75 9995.11 8972.85 15591.58 9192.45 117
APD-MVS_3200maxsize85.97 5485.88 5586.22 6792.69 7269.53 10391.93 3792.99 4973.54 14085.94 4194.51 2665.80 11395.61 6383.04 6492.51 8093.53 80
test1286.80 5592.63 7370.70 8191.79 10882.71 9871.67 5696.16 4794.50 5693.54 79
test_prior386.73 3986.86 4086.33 6392.61 7469.59 10188.85 10992.97 5475.41 9684.91 5793.54 5474.28 3595.48 7083.31 5795.86 2293.91 54
test_prior86.33 6392.61 7469.59 10192.97 5495.48 7093.91 54
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4193.19 4077.87 3890.32 1794.00 4874.83 2793.78 14587.63 1794.27 6393.65 72
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 9282.41 9284.82 10092.47 7766.37 16787.93 14691.80 10773.82 13477.32 17390.66 12167.90 9094.90 10270.37 17389.48 11793.19 92
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 26
abl_685.23 6684.95 7086.07 7192.23 7970.48 8690.80 5992.08 9273.51 14385.26 5094.16 4162.75 14595.92 5782.46 7491.30 9691.81 137
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2280.19 1488.10 2794.80 1673.76 4097.11 1387.51 1895.82 2494.90 10
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UA-Net85.08 7084.96 6985.45 8092.07 8168.07 13789.78 8590.86 13782.48 284.60 6893.20 6369.35 7895.22 8571.39 16590.88 10093.07 95
旧先验191.96 8265.79 18086.37 24793.08 6969.31 8092.74 7688.74 244
MSLP-MVS++85.43 6385.76 5784.45 11091.93 8370.24 8790.71 6092.86 5977.46 4984.22 7692.81 7567.16 9892.94 18680.36 8994.35 6190.16 188
LFMVS81.82 10981.23 11083.57 14291.89 8463.43 22789.84 8181.85 30477.04 6183.21 8993.10 6552.26 24393.43 16571.98 16089.95 11393.85 58
PLCcopyleft70.83 1178.05 19976.37 21783.08 16191.88 8567.80 14188.19 13789.46 17364.33 27769.87 28588.38 17853.66 23393.58 15458.86 27482.73 19787.86 260
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MVS_111021_HR85.14 6884.75 7286.32 6591.65 8672.70 3185.98 20090.33 15076.11 8482.08 10291.61 9771.36 6094.17 12881.02 8292.58 7992.08 130
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8772.45 4190.02 7894.37 471.76 16487.28 3494.27 3675.18 2596.08 4985.16 3095.77 2693.80 64
test22291.50 8868.26 13384.16 24683.20 29054.63 34779.74 13091.63 9658.97 19491.42 9386.77 287
TSAR-MVS + GP.85.71 5985.33 6286.84 5391.34 8972.50 3789.07 10287.28 23376.41 7585.80 4490.22 12974.15 3895.37 8281.82 7791.88 8692.65 111
MAR-MVS81.84 10880.70 11885.27 8491.32 9071.53 6089.82 8290.92 13469.77 20378.50 14886.21 24162.36 15294.52 11465.36 22192.05 8589.77 212
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 9172.32 4790.31 7293.94 1777.12 5882.82 9694.23 3972.13 5397.09 1484.83 3695.37 3593.65 72
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 6184.47 7588.51 691.08 9273.49 1793.18 1193.78 2180.79 1076.66 18893.37 6060.40 18996.75 2577.20 11593.73 6895.29 2
Anonymous20240521178.25 19177.01 19981.99 19391.03 9360.67 26484.77 22883.90 27670.65 18880.00 12991.20 10841.08 33291.43 23465.21 22285.26 16693.85 58
VDD-MVS83.01 9382.36 9484.96 9391.02 9466.40 16688.91 10688.11 21377.57 4384.39 7493.29 6252.19 24493.91 14077.05 11788.70 12594.57 28
API-MVS81.99 10681.23 11084.26 11990.94 9570.18 9391.10 5489.32 17671.51 17278.66 14588.28 18165.26 11695.10 9264.74 22791.23 9787.51 268
testdata79.97 23890.90 9664.21 20984.71 26359.27 32285.40 4892.91 7062.02 15989.08 27768.95 18991.37 9486.63 291
PHI-MVS86.43 4686.17 5287.24 4690.88 9770.96 7292.27 3194.07 1172.45 15385.22 5291.90 8969.47 7796.42 3883.28 6095.94 2094.35 35
CS-MVS-test86.26 5086.48 4485.60 7790.84 9866.60 16391.16 5393.56 2679.82 1884.57 6989.89 13670.67 6695.04 9484.30 4693.48 6995.16 3
VNet82.21 10182.41 9281.62 19990.82 9960.93 25984.47 23689.78 16476.36 8084.07 8091.88 9064.71 12390.26 25770.68 17088.89 12193.66 67
PVSNet_Blended_VisFu82.62 9781.83 10584.96 9390.80 10069.76 9888.74 11591.70 11269.39 20978.96 13888.46 17665.47 11594.87 10574.42 13788.57 12690.24 186
CS-MVS86.61 4486.96 3685.56 7990.78 10166.54 16592.84 1793.30 3679.67 2084.55 7092.25 8371.46 5895.00 9784.25 4993.48 6995.15 4
test_part182.78 9582.08 9984.89 9890.66 10266.97 15890.96 5692.93 5777.19 5580.53 12390.04 13363.44 13195.39 7876.04 12676.90 25792.31 121
Anonymous2024052980.19 14878.89 15684.10 12390.60 10364.75 19888.95 10590.90 13565.97 25880.59 12291.17 10949.97 27293.73 15169.16 18782.70 19993.81 62
h-mvs3383.15 8882.19 9686.02 7390.56 10470.85 7888.15 14089.16 18476.02 8684.67 6491.39 10461.54 16495.50 6982.71 6975.48 28091.72 139
Anonymous2023121178.97 17777.69 18782.81 17490.54 10564.29 20890.11 7791.51 11765.01 26976.16 20388.13 19050.56 26693.03 18569.68 18277.56 25091.11 155
LS3D76.95 22274.82 23483.37 14890.45 10667.36 15189.15 10086.94 23961.87 30369.52 28890.61 12251.71 25594.53 11346.38 34286.71 15188.21 254
VDDNet81.52 11680.67 11984.05 12790.44 10764.13 21189.73 8785.91 25371.11 17783.18 9093.48 5750.54 26793.49 16073.40 14988.25 13194.54 29
CNLPA78.08 19776.79 20681.97 19490.40 10871.07 6987.59 15584.55 26666.03 25772.38 25789.64 14357.56 20486.04 30659.61 26683.35 18888.79 242
PAPR81.66 11480.89 11783.99 13390.27 10964.00 21286.76 18191.77 11168.84 22777.13 18189.50 14767.63 9294.88 10467.55 20188.52 12893.09 94
Vis-MVSNetpermissive83.46 8382.80 8985.43 8190.25 11068.74 12090.30 7390.13 15676.33 8180.87 12092.89 7161.00 17894.20 12572.45 15990.97 9893.35 84
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DPM-MVS84.93 7184.29 7686.84 5390.20 11173.04 2487.12 16793.04 4369.80 20282.85 9591.22 10773.06 4596.02 5176.72 12294.63 5391.46 147
EPP-MVSNet83.40 8583.02 8584.57 10690.13 11264.47 20492.32 2990.73 13874.45 12179.35 13591.10 11069.05 8395.12 8872.78 15687.22 14394.13 43
CANet86.45 4586.10 5387.51 4090.09 11370.94 7489.70 8892.59 7281.78 481.32 11291.43 10370.34 6897.23 1284.26 4793.36 7194.37 34
test250677.30 21676.49 21379.74 24390.08 11452.02 34287.86 15063.10 36974.88 10980.16 12892.79 7638.29 34292.35 20468.74 19292.50 8194.86 14
ECVR-MVScopyleft79.61 15679.26 14880.67 22590.08 11454.69 32687.89 14877.44 33674.88 10980.27 12592.79 7648.96 28692.45 19868.55 19392.50 8194.86 14
HQP_MVS83.64 8083.14 8285.14 8790.08 11468.71 12291.25 5092.44 7579.12 2678.92 14091.00 11660.42 18795.38 7978.71 9886.32 15691.33 149
plane_prior790.08 11468.51 129
patch_mono-283.65 7984.54 7480.99 21890.06 11865.83 17884.21 24588.74 20471.60 17085.01 5392.44 8074.51 2983.50 32482.15 7692.15 8493.64 74
test111179.43 16379.18 15180.15 23589.99 11953.31 33987.33 16277.05 33975.04 10580.23 12792.77 7848.97 28592.33 20668.87 19092.40 8394.81 17
CHOSEN 1792x268877.63 21075.69 22083.44 14489.98 12068.58 12878.70 30987.50 22956.38 34175.80 20986.84 21758.67 19591.40 23561.58 25285.75 16590.34 183
IS-MVSNet83.15 8882.81 8884.18 12189.94 12163.30 22991.59 4388.46 21079.04 2879.49 13392.16 8465.10 11894.28 11967.71 19991.86 8994.95 7
plane_prior189.90 122
canonicalmvs85.91 5585.87 5686.04 7289.84 12369.44 10890.45 7093.00 4776.70 7288.01 2991.23 10673.28 4293.91 14081.50 7988.80 12394.77 21
plane_prior689.84 12368.70 12460.42 187
NP-MVS89.62 12568.32 13190.24 127
EIA-MVS83.31 8782.80 8984.82 10089.59 12665.59 18388.21 13692.68 6674.66 11578.96 13886.42 23769.06 8295.26 8475.54 13290.09 11093.62 75
HyFIR lowres test77.53 21175.40 22783.94 13689.59 12666.62 16180.36 29188.64 20756.29 34276.45 19185.17 26257.64 20393.28 16861.34 25583.10 19391.91 133
TAPA-MVS73.13 979.15 17177.94 17682.79 17789.59 12662.99 23888.16 13991.51 11765.77 25977.14 18091.09 11160.91 17993.21 17050.26 32287.05 14592.17 128
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
thres100view90076.50 22775.55 22379.33 25189.52 12956.99 30485.83 20783.23 28873.94 13176.32 19687.12 21351.89 25291.95 21948.33 33083.75 18289.07 224
GeoE81.71 11181.01 11583.80 13889.51 13064.45 20588.97 10488.73 20571.27 17578.63 14689.76 14066.32 10593.20 17269.89 17986.02 16193.74 65
alignmvs85.48 6185.32 6385.96 7489.51 13069.47 10589.74 8692.47 7476.17 8387.73 3291.46 10270.32 6993.78 14581.51 7888.95 12094.63 25
PS-MVSNAJ81.69 11281.02 11483.70 13989.51 13068.21 13584.28 24490.09 15770.79 18381.26 11685.62 25363.15 13994.29 11875.62 13088.87 12288.59 247
ACMP74.13 681.51 11880.57 12084.36 11489.42 13368.69 12589.97 8091.50 12074.46 12075.04 23190.41 12553.82 23294.54 11277.56 11182.91 19489.86 208
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
thres600view776.50 22775.44 22579.68 24589.40 13457.16 30185.53 21583.23 28873.79 13576.26 19787.09 21451.89 25291.89 22248.05 33583.72 18590.00 200
ETV-MVS84.90 7384.67 7385.59 7889.39 13568.66 12688.74 11592.64 7179.97 1784.10 7985.71 24969.32 7995.38 7980.82 8591.37 9492.72 106
BH-RMVSNet79.61 15678.44 16483.14 15889.38 13665.93 17584.95 22587.15 23673.56 13978.19 15689.79 13956.67 21393.36 16659.53 26786.74 15090.13 190
Regformer-186.41 4886.33 4686.64 5889.33 13770.93 7588.43 12391.39 12282.14 386.65 3890.09 13174.39 3395.01 9683.97 5390.63 10293.97 52
Regformer-286.63 4386.53 4386.95 5189.33 13771.24 6788.43 12392.05 9382.50 186.88 3690.09 13174.45 3095.61 6384.38 4390.63 10294.01 50
HQP-NCC89.33 13789.17 9676.41 7577.23 176
ACMP_Plane89.33 13789.17 9676.41 7577.23 176
HQP-MVS82.61 9882.02 10184.37 11389.33 13766.98 15689.17 9692.19 8976.41 7577.23 17690.23 12860.17 19095.11 8977.47 11285.99 16291.03 158
DROMVSNet86.01 5386.38 4584.91 9789.31 14266.27 16992.32 2993.63 2379.37 2384.17 7891.88 9069.04 8495.43 7483.93 5493.77 6793.01 99
ACMM73.20 880.78 13579.84 13383.58 14189.31 14268.37 13089.99 7991.60 11470.28 19377.25 17489.66 14253.37 23593.53 15974.24 14082.85 19588.85 239
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Test_1112_low_res76.40 23175.44 22579.27 25289.28 14458.09 28681.69 27887.07 23759.53 32072.48 25586.67 22761.30 17189.33 27260.81 25980.15 22690.41 180
F-COLMAP76.38 23274.33 24182.50 18489.28 14466.95 16088.41 12689.03 18964.05 28166.83 31088.61 17146.78 29792.89 18757.48 28678.55 23987.67 263
LPG-MVS_test82.08 10381.27 10984.50 10889.23 14668.76 11890.22 7591.94 10175.37 9876.64 18991.51 9954.29 22794.91 10078.44 10283.78 18089.83 209
LGP-MVS_train84.50 10889.23 14668.76 11891.94 10175.37 9876.64 18991.51 9954.29 22794.91 10078.44 10283.78 18089.83 209
BH-untuned79.47 16178.60 16082.05 19189.19 14865.91 17686.07 19988.52 20972.18 15975.42 21787.69 19561.15 17593.54 15860.38 26086.83 14986.70 289
xiu_mvs_v2_base81.69 11281.05 11383.60 14089.15 14968.03 13884.46 23890.02 15870.67 18681.30 11586.53 23563.17 13894.19 12675.60 13188.54 12788.57 248
test_yl81.17 12180.47 12383.24 15389.13 15063.62 21886.21 19589.95 16072.43 15681.78 10889.61 14457.50 20593.58 15470.75 16886.90 14792.52 112
DCV-MVSNet81.17 12180.47 12383.24 15389.13 15063.62 21886.21 19589.95 16072.43 15681.78 10889.61 14457.50 20593.58 15470.75 16886.90 14792.52 112
tfpn200view976.42 23075.37 22979.55 25089.13 15057.65 29685.17 21883.60 27973.41 14476.45 19186.39 23852.12 24591.95 21948.33 33083.75 18289.07 224
thres40076.50 22775.37 22979.86 24089.13 15057.65 29685.17 21883.60 27973.41 14476.45 19186.39 23852.12 24591.95 21948.33 33083.75 18290.00 200
1112_ss77.40 21476.43 21580.32 23289.11 15460.41 26983.65 25487.72 22562.13 30173.05 24986.72 22162.58 14889.97 26262.11 24780.80 21790.59 174
Regformer-385.23 6685.07 6785.70 7688.95 15569.01 11288.29 13389.91 16280.95 885.01 5390.01 13472.45 4994.19 12682.50 7387.57 13593.90 56
Regformer-485.68 6085.45 6086.35 6288.95 15569.67 10088.29 13391.29 12481.73 585.36 4990.01 13472.62 4895.35 8383.28 6087.57 13594.03 48
Fast-Effi-MVS+80.81 13079.92 13183.47 14388.85 15764.51 20185.53 21589.39 17470.79 18378.49 14985.06 26567.54 9393.58 15467.03 21086.58 15292.32 120
PVSNet_BlendedMVS80.60 13880.02 12982.36 18788.85 15765.40 18686.16 19792.00 9769.34 21178.11 15886.09 24466.02 11094.27 12071.52 16282.06 20487.39 270
PVSNet_Blended80.98 12480.34 12582.90 17088.85 15765.40 18684.43 24092.00 9767.62 23878.11 15885.05 26666.02 11094.27 12071.52 16289.50 11689.01 231
MVS_111021_LR82.61 9882.11 9784.11 12288.82 16071.58 5985.15 22086.16 25074.69 11480.47 12491.04 11362.29 15390.55 25580.33 9090.08 11190.20 187
BH-w/o78.21 19377.33 19580.84 22188.81 16165.13 19384.87 22687.85 22369.75 20474.52 23784.74 26961.34 17093.11 17958.24 28185.84 16484.27 319
FIs82.07 10482.42 9181.04 21788.80 16258.34 28488.26 13593.49 2976.93 6378.47 15091.04 11369.92 7392.34 20569.87 18084.97 16892.44 118
OPM-MVS83.50 8282.95 8685.14 8788.79 16370.95 7389.13 10191.52 11677.55 4680.96 11991.75 9260.71 18194.50 11579.67 9486.51 15489.97 204
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
WR-MVS79.49 16079.22 15080.27 23388.79 16358.35 28385.06 22288.61 20878.56 3277.65 16688.34 17963.81 13090.66 25464.98 22577.22 25391.80 138
OMC-MVS82.69 9681.97 10384.85 9988.75 16567.42 14887.98 14290.87 13674.92 10879.72 13191.65 9462.19 15693.96 13375.26 13486.42 15593.16 93
hse-mvs281.72 11080.94 11684.07 12588.72 16667.68 14485.87 20487.26 23476.02 8684.67 6488.22 18461.54 16493.48 16182.71 6973.44 30791.06 156
AUN-MVS79.21 17077.60 18984.05 12788.71 16767.61 14585.84 20687.26 23469.08 21977.23 17688.14 18953.20 23793.47 16275.50 13373.45 30691.06 156
ACMH67.68 1675.89 23773.93 24481.77 19788.71 16766.61 16288.62 11989.01 19169.81 20166.78 31186.70 22641.95 32991.51 23355.64 29878.14 24587.17 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Vis-MVSNet (Re-imp)78.36 19078.45 16378.07 27088.64 16951.78 34586.70 18279.63 32574.14 12875.11 22890.83 11961.29 17289.75 26558.10 28291.60 9092.69 109
PatchMatch-RL72.38 27270.90 27276.80 28888.60 17067.38 15079.53 29976.17 34262.75 29569.36 29082.00 30545.51 30884.89 31553.62 30580.58 22078.12 352
ACMH+68.96 1476.01 23674.01 24382.03 19288.60 17065.31 19088.86 10887.55 22770.25 19467.75 29987.47 20241.27 33093.19 17458.37 27975.94 27387.60 265
LTVRE_ROB69.57 1376.25 23374.54 23881.41 20488.60 17064.38 20779.24 30289.12 18870.76 18569.79 28787.86 19249.09 28393.20 17256.21 29780.16 22586.65 290
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 6485.30 6485.77 7588.49 17367.93 13985.52 21793.44 3178.70 3183.63 8889.03 16274.57 2895.71 6280.26 9194.04 6593.66 67
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 10081.65 10684.29 11888.47 17467.73 14385.81 20892.35 8075.78 8978.33 15386.58 23264.01 12794.35 11776.05 12587.48 14090.79 165
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 10781.54 10782.92 16988.46 17563.46 22587.13 16692.37 7980.19 1478.38 15189.14 15771.66 5793.05 18270.05 17676.46 26592.25 124
ab-mvs79.51 15978.97 15581.14 21488.46 17560.91 26083.84 25189.24 18170.36 19179.03 13788.87 16563.23 13790.21 25965.12 22382.57 20092.28 123
FC-MVSNet-test81.52 11682.02 10180.03 23788.42 17755.97 32087.95 14493.42 3377.10 5977.38 17190.98 11869.96 7291.79 22468.46 19584.50 17392.33 119
Effi-MVS+83.62 8183.08 8385.24 8588.38 17867.45 14788.89 10789.15 18575.50 9582.27 10088.28 18169.61 7694.45 11677.81 10987.84 13393.84 60
UniMVSNet (Re)81.60 11581.11 11283.09 16088.38 17864.41 20687.60 15493.02 4678.42 3478.56 14788.16 18569.78 7493.26 16969.58 18376.49 26491.60 140
VPNet78.69 18278.66 15978.76 25988.31 18055.72 32284.45 23986.63 24376.79 6778.26 15490.55 12359.30 19289.70 26766.63 21177.05 25590.88 163
TR-MVS77.44 21276.18 21881.20 21288.24 18163.24 23084.61 23486.40 24667.55 23977.81 16386.48 23654.10 22993.15 17657.75 28582.72 19887.20 276
EI-MVSNet-Vis-set84.19 7483.81 7785.31 8288.18 18267.85 14087.66 15389.73 16780.05 1682.95 9289.59 14670.74 6594.82 10680.66 8884.72 17193.28 87
baseline176.98 22176.75 20977.66 27588.13 18355.66 32385.12 22181.89 30273.04 14976.79 18488.90 16362.43 15187.78 29563.30 23571.18 32289.55 218
test_040272.79 26970.44 27679.84 24188.13 18365.99 17385.93 20284.29 27065.57 26267.40 30485.49 25546.92 29692.61 19335.88 36074.38 29780.94 344
tttt051779.40 16577.91 17783.90 13788.10 18563.84 21588.37 13084.05 27471.45 17376.78 18589.12 15949.93 27594.89 10370.18 17583.18 19192.96 102
VPA-MVSNet80.60 13880.55 12180.76 22388.07 18660.80 26286.86 17591.58 11575.67 9380.24 12689.45 15363.34 13390.25 25870.51 17279.22 23891.23 152
UGNet80.83 12979.59 13984.54 10788.04 18768.09 13689.42 9188.16 21276.95 6276.22 19889.46 15149.30 28193.94 13668.48 19490.31 10591.60 140
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 18678.49 16278.56 26288.02 18856.38 31588.43 12392.67 6777.14 5773.89 24287.55 19966.25 10689.24 27458.92 27373.55 30590.06 198
QAPM80.88 12579.50 14185.03 9088.01 18968.97 11491.59 4392.00 9766.63 25075.15 22792.16 8457.70 20295.45 7263.52 23188.76 12490.66 170
3Dnovator76.31 583.38 8682.31 9586.59 6087.94 19072.94 2990.64 6192.14 9177.21 5475.47 21392.83 7358.56 19694.72 11073.24 15292.71 7792.13 129
EI-MVSNet-UG-set83.81 7683.38 8085.09 8987.87 19167.53 14687.44 15989.66 16979.74 1982.23 10189.41 15570.24 7094.74 10979.95 9283.92 17992.99 101
TranMVSNet+NR-MVSNet80.84 12780.31 12682.42 18587.85 19262.33 24387.74 15291.33 12380.55 1177.99 16189.86 13765.23 11792.62 19267.05 20975.24 29092.30 122
CP-MVSNet78.22 19278.34 16877.84 27287.83 19354.54 32887.94 14591.17 12977.65 4073.48 24488.49 17562.24 15588.43 28762.19 24474.07 29890.55 175
DU-MVS81.12 12380.52 12282.90 17087.80 19463.46 22587.02 17091.87 10579.01 2978.38 15189.07 16065.02 11993.05 18270.05 17676.46 26592.20 126
NR-MVSNet80.23 14679.38 14482.78 17887.80 19463.34 22886.31 19291.09 13279.01 2972.17 25989.07 16067.20 9792.81 19166.08 21675.65 27692.20 126
TAMVS78.89 17977.51 19183.03 16487.80 19467.79 14284.72 22985.05 26167.63 23776.75 18687.70 19462.25 15490.82 25058.53 27887.13 14490.49 177
thres20075.55 24174.47 23978.82 25887.78 19757.85 29383.07 26683.51 28272.44 15575.84 20884.42 27152.08 24791.75 22547.41 33783.64 18686.86 285
PS-CasMVS78.01 20178.09 17377.77 27487.71 19854.39 33088.02 14191.22 12677.50 4873.26 24688.64 17060.73 18088.41 28861.88 24873.88 30290.53 176
PCF-MVS73.52 780.38 14378.84 15785.01 9187.71 19868.99 11383.65 25491.46 12163.00 29077.77 16590.28 12666.10 10795.09 9361.40 25388.22 13290.94 162
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
thisisatest053079.40 16577.76 18484.31 11787.69 20065.10 19487.36 16084.26 27270.04 19677.42 17088.26 18349.94 27394.79 10870.20 17484.70 17293.03 97
GBi-Net78.40 18777.40 19281.40 20587.60 20163.01 23588.39 12789.28 17771.63 16775.34 22087.28 20554.80 22091.11 24162.72 23879.57 23090.09 194
test178.40 18777.40 19281.40 20587.60 20163.01 23588.39 12789.28 17771.63 16775.34 22087.28 20554.80 22091.11 24162.72 23879.57 23090.09 194
FMVSNet278.20 19477.21 19681.20 21287.60 20162.89 23987.47 15889.02 19071.63 16775.29 22487.28 20554.80 22091.10 24462.38 24279.38 23489.61 216
CDS-MVSNet79.07 17477.70 18683.17 15787.60 20168.23 13484.40 24286.20 24967.49 24076.36 19586.54 23461.54 16490.79 25161.86 24987.33 14190.49 177
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
HY-MVS69.67 1277.95 20277.15 19780.36 23087.57 20560.21 27183.37 26187.78 22466.11 25475.37 21987.06 21663.27 13590.48 25661.38 25482.43 20190.40 181
xiu_mvs_v1_base_debu80.80 13279.72 13684.03 13087.35 20670.19 9085.56 21088.77 19969.06 22081.83 10488.16 18550.91 26192.85 18878.29 10687.56 13789.06 226
xiu_mvs_v1_base80.80 13279.72 13684.03 13087.35 20670.19 9085.56 21088.77 19969.06 22081.83 10488.16 18550.91 26192.85 18878.29 10687.56 13789.06 226
xiu_mvs_v1_base_debi80.80 13279.72 13684.03 13087.35 20670.19 9085.56 21088.77 19969.06 22081.83 10488.16 18550.91 26192.85 18878.29 10687.56 13789.06 226
MVSFormer82.85 9482.05 10085.24 8587.35 20670.21 8890.50 6590.38 14668.55 23181.32 11289.47 14961.68 16193.46 16378.98 9690.26 10792.05 131
lupinMVS81.39 11980.27 12884.76 10387.35 20670.21 8885.55 21386.41 24562.85 29381.32 11288.61 17161.68 16192.24 21078.41 10490.26 10791.83 135
baseline84.93 7184.98 6884.80 10287.30 21165.39 18887.30 16392.88 5877.62 4184.04 8192.26 8271.81 5493.96 13381.31 8090.30 10695.03 6
PAPM77.68 20976.40 21681.51 20287.29 21261.85 25083.78 25289.59 17064.74 27171.23 26788.70 16762.59 14793.66 15352.66 30987.03 14689.01 231
LCM-MVSNet-Re77.05 21976.94 20277.36 28087.20 21351.60 34680.06 29480.46 31775.20 10267.69 30086.72 22162.48 14988.98 27963.44 23389.25 11991.51 143
casdiffmvs85.11 6985.14 6685.01 9187.20 21365.77 18187.75 15192.83 6177.84 3984.36 7592.38 8172.15 5293.93 13981.27 8190.48 10495.33 1
COLMAP_ROBcopyleft66.92 1773.01 26670.41 27780.81 22287.13 21565.63 18288.30 13284.19 27362.96 29163.80 33487.69 19538.04 34392.56 19546.66 33974.91 29284.24 320
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PEN-MVS77.73 20677.69 18777.84 27287.07 21653.91 33387.91 14791.18 12877.56 4573.14 24888.82 16661.23 17389.17 27559.95 26372.37 31390.43 179
MVS_Test83.15 8883.06 8483.41 14786.86 21763.21 23186.11 19892.00 9774.31 12282.87 9489.44 15470.03 7193.21 17077.39 11488.50 12993.81 62
UniMVSNet_ETH3D79.10 17378.24 17181.70 19886.85 21860.24 27087.28 16488.79 19874.25 12576.84 18290.53 12449.48 27891.56 23067.98 19782.15 20393.29 86
FMVSNet377.88 20476.85 20480.97 21986.84 21962.36 24286.52 18888.77 19971.13 17675.34 22086.66 22854.07 23091.10 24462.72 23879.57 23089.45 219
FMVSNet177.44 21276.12 21981.40 20586.81 22063.01 23588.39 12789.28 17770.49 19074.39 23887.28 20549.06 28491.11 24160.91 25778.52 24090.09 194
nrg03083.88 7583.53 7884.96 9386.77 22169.28 10990.46 6992.67 6774.79 11182.95 9291.33 10572.70 4793.09 18080.79 8779.28 23792.50 114
ET-MVSNet_ETH3D78.63 18376.63 21284.64 10586.73 22269.47 10585.01 22384.61 26569.54 20766.51 31686.59 23050.16 27091.75 22576.26 12384.24 17792.69 109
jason81.39 11980.29 12784.70 10486.63 22369.90 9585.95 20186.77 24163.24 28681.07 11889.47 14961.08 17792.15 21378.33 10590.07 11292.05 131
jason: jason.
PS-MVSNAJss82.07 10481.31 10884.34 11686.51 22467.27 15289.27 9491.51 11771.75 16579.37 13490.22 12963.15 13994.27 12077.69 11082.36 20291.49 145
WTY-MVS75.65 24075.68 22175.57 29686.40 22556.82 30677.92 31782.40 29865.10 26676.18 20087.72 19363.13 14280.90 33660.31 26181.96 20589.00 233
DTE-MVSNet76.99 22076.80 20577.54 27986.24 22653.06 34187.52 15690.66 13977.08 6072.50 25488.67 16960.48 18689.52 26957.33 28970.74 32490.05 199
PVSNet64.34 1872.08 27570.87 27475.69 29486.21 22756.44 31374.37 33580.73 31262.06 30270.17 27882.23 30142.86 32183.31 32654.77 30184.45 17587.32 273
tfpnnormal74.39 24973.16 25278.08 26986.10 22858.05 28784.65 23387.53 22870.32 19271.22 26885.63 25254.97 21989.86 26343.03 35175.02 29186.32 293
RRT_test8_iter0578.38 18977.40 19281.34 20886.00 22958.86 27986.55 18791.26 12572.13 16275.91 20587.42 20344.97 31093.73 15177.02 11875.30 28791.45 148
IterMVS-LS80.06 14979.38 14482.11 18985.89 23063.20 23286.79 17889.34 17574.19 12675.45 21686.72 22166.62 10092.39 20172.58 15776.86 25990.75 167
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Baseline_NR-MVSNet78.15 19678.33 16977.61 27785.79 23156.21 31886.78 17985.76 25473.60 13877.93 16287.57 19865.02 11988.99 27867.14 20875.33 28687.63 264
cascas76.72 22574.64 23582.99 16685.78 23265.88 17782.33 27289.21 18260.85 30972.74 25181.02 31047.28 29493.75 14967.48 20285.02 16789.34 221
MVS78.19 19576.99 20181.78 19685.66 23366.99 15584.66 23090.47 14455.08 34672.02 26185.27 25963.83 12994.11 13166.10 21589.80 11484.24 320
XVG-OURS80.41 14279.23 14983.97 13485.64 23469.02 11183.03 26790.39 14571.09 17877.63 16791.49 10154.62 22691.35 23675.71 12883.47 18791.54 142
CANet_DTU80.61 13779.87 13282.83 17285.60 23563.17 23487.36 16088.65 20676.37 7975.88 20788.44 17753.51 23493.07 18173.30 15089.74 11592.25 124
XVG-OURS-SEG-HR80.81 13079.76 13583.96 13585.60 23568.78 11783.54 25990.50 14370.66 18776.71 18791.66 9360.69 18291.26 23876.94 11981.58 20991.83 135
TransMVSNet (Re)75.39 24574.56 23777.86 27185.50 23757.10 30386.78 17986.09 25272.17 16071.53 26587.34 20463.01 14389.31 27356.84 29361.83 34787.17 277
RRT_MVS79.88 15378.38 16684.38 11285.42 23870.60 8488.71 11788.75 20372.30 15878.83 14289.14 15744.44 31392.18 21278.50 10179.33 23690.35 182
MVP-Stereo76.12 23474.46 24081.13 21585.37 23969.79 9784.42 24187.95 21965.03 26867.46 30285.33 25853.28 23691.73 22758.01 28383.27 18981.85 339
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
thisisatest051577.33 21575.38 22883.18 15685.27 24063.80 21682.11 27483.27 28765.06 26775.91 20583.84 27949.54 27794.27 12067.24 20686.19 15891.48 146
OpenMVScopyleft72.83 1079.77 15478.33 16984.09 12485.17 24169.91 9490.57 6390.97 13366.70 24672.17 25991.91 8854.70 22493.96 13361.81 25090.95 9988.41 252
AllTest70.96 28068.09 29279.58 24885.15 24263.62 21884.58 23579.83 32362.31 29960.32 34486.73 21932.02 35688.96 28150.28 32071.57 32086.15 297
TestCases79.58 24885.15 24263.62 21879.83 32362.31 29960.32 34486.73 21932.02 35688.96 28150.28 32071.57 32086.15 297
Effi-MVS+-dtu80.03 15078.57 16184.42 11185.13 24468.74 12088.77 11288.10 21474.99 10674.97 23283.49 28557.27 20893.36 16673.53 14580.88 21591.18 153
mvs-test180.88 12579.40 14385.29 8385.13 24469.75 9989.28 9388.10 21474.99 10676.44 19486.72 22157.27 20894.26 12473.53 14583.18 19191.87 134
SixPastTwentyTwo73.37 26071.26 27079.70 24485.08 24657.89 29285.57 20983.56 28171.03 17965.66 32085.88 24642.10 32792.57 19459.11 27163.34 34588.65 246
EG-PatchMatch MVS74.04 25471.82 26380.71 22484.92 24767.42 14885.86 20588.08 21666.04 25664.22 33083.85 27835.10 35192.56 19557.44 28780.83 21682.16 338
IB-MVS68.01 1575.85 23873.36 25083.31 14984.76 24866.03 17183.38 26085.06 26070.21 19569.40 28981.05 30945.76 30694.66 11165.10 22475.49 27989.25 223
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 17277.77 18383.22 15584.70 24966.37 16789.17 9690.19 15469.38 21075.40 21889.46 15144.17 31593.15 17676.78 12180.70 21990.14 189
jajsoiax79.29 16877.96 17583.27 15184.68 25066.57 16489.25 9590.16 15569.20 21675.46 21589.49 14845.75 30793.13 17876.84 12080.80 21790.11 192
MIMVSNet70.69 28269.30 28174.88 30384.52 25156.35 31675.87 32779.42 32664.59 27267.76 29882.41 29741.10 33181.54 33346.64 34181.34 21086.75 288
MSDG73.36 26270.99 27180.49 22884.51 25265.80 17980.71 28786.13 25165.70 26065.46 32183.74 28244.60 31190.91 24951.13 31576.89 25884.74 315
mvs_anonymous79.42 16479.11 15280.34 23184.45 25357.97 29082.59 26987.62 22667.40 24176.17 20288.56 17468.47 8689.59 26870.65 17186.05 16093.47 81
EI-MVSNet80.52 14179.98 13082.12 18884.28 25463.19 23386.41 18988.95 19574.18 12778.69 14387.54 20066.62 10092.43 19972.57 15880.57 22190.74 168
CVMVSNet72.99 26772.58 25674.25 30984.28 25450.85 35186.41 18983.45 28544.56 35773.23 24787.54 20049.38 27985.70 30865.90 21778.44 24286.19 296
pm-mvs177.25 21776.68 21178.93 25784.22 25658.62 28286.41 18988.36 21171.37 17473.31 24588.01 19161.22 17489.15 27664.24 22973.01 31089.03 230
EPNet83.72 7882.92 8786.14 6984.22 25669.48 10491.05 5585.27 25881.30 776.83 18391.65 9466.09 10895.56 6576.00 12793.85 6693.38 82
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v879.97 15279.02 15482.80 17584.09 25864.50 20387.96 14390.29 15374.13 12975.24 22586.81 21862.88 14493.89 14274.39 13875.40 28490.00 200
v1079.74 15578.67 15882.97 16884.06 25964.95 19587.88 14990.62 14073.11 14775.11 22886.56 23361.46 16794.05 13273.68 14375.55 27889.90 206
SCA74.22 25272.33 25979.91 23984.05 26062.17 24679.96 29679.29 32766.30 25372.38 25780.13 31951.95 25088.60 28559.25 26977.67 24988.96 235
test_djsdf80.30 14579.32 14683.27 15183.98 26165.37 18990.50 6590.38 14668.55 23176.19 19988.70 16756.44 21493.46 16378.98 9680.14 22790.97 161
131476.53 22675.30 23180.21 23483.93 26262.32 24484.66 23088.81 19760.23 31370.16 27984.07 27655.30 21890.73 25367.37 20383.21 19087.59 267
MS-PatchMatch73.83 25672.67 25577.30 28283.87 26366.02 17281.82 27584.66 26461.37 30768.61 29582.82 29347.29 29388.21 28959.27 26884.32 17677.68 353
v114480.03 15079.03 15383.01 16583.78 26464.51 20187.11 16890.57 14271.96 16378.08 16086.20 24261.41 16893.94 13674.93 13577.23 25290.60 173
OurMVSNet-221017-074.26 25172.42 25879.80 24283.76 26559.59 27585.92 20386.64 24266.39 25266.96 30787.58 19739.46 33691.60 22865.76 21969.27 32888.22 253
v2v48280.23 14679.29 14783.05 16383.62 26664.14 21087.04 16989.97 15973.61 13778.18 15787.22 20961.10 17693.82 14376.11 12476.78 26291.18 153
XXY-MVS75.41 24475.56 22274.96 30283.59 26757.82 29480.59 28983.87 27766.54 25174.93 23388.31 18063.24 13680.09 33962.16 24576.85 26086.97 283
v119279.59 15878.43 16583.07 16283.55 26864.52 20086.93 17390.58 14170.83 18177.78 16485.90 24559.15 19393.94 13673.96 14277.19 25490.76 166
EGC-MVSNET52.07 33047.05 33467.14 33983.51 26960.71 26380.50 29067.75 3620.07 3750.43 37675.85 34724.26 36381.54 33328.82 36362.25 34659.16 363
v7n78.97 17777.58 19083.14 15883.45 27065.51 18488.32 13191.21 12773.69 13672.41 25686.32 24057.93 19993.81 14469.18 18675.65 27690.11 192
v14419279.47 16178.37 16782.78 17883.35 27163.96 21386.96 17190.36 14969.99 19777.50 16885.67 25160.66 18393.77 14774.27 13976.58 26390.62 171
tpm273.26 26371.46 26578.63 26083.34 27256.71 30980.65 28880.40 31856.63 34073.55 24382.02 30451.80 25491.24 23956.35 29678.42 24387.95 256
v192192079.22 16978.03 17482.80 17583.30 27363.94 21486.80 17790.33 15069.91 20077.48 16985.53 25458.44 19793.75 14973.60 14476.85 26090.71 169
baseline275.70 23973.83 24781.30 20983.26 27461.79 25282.57 27080.65 31366.81 24366.88 30883.42 28657.86 20192.19 21163.47 23279.57 23089.91 205
v124078.99 17677.78 18282.64 18183.21 27563.54 22286.62 18490.30 15269.74 20677.33 17285.68 25057.04 21193.76 14873.13 15376.92 25690.62 171
XVG-ACMP-BASELINE76.11 23574.27 24281.62 19983.20 27664.67 19983.60 25789.75 16669.75 20471.85 26287.09 21432.78 35592.11 21469.99 17880.43 22388.09 255
MDTV_nov1_ep1369.97 28083.18 27753.48 33677.10 32180.18 32260.45 31069.33 29180.44 31648.89 28786.90 30051.60 31378.51 241
PatchmatchNetpermissive73.12 26571.33 26878.49 26583.18 27760.85 26179.63 29878.57 32964.13 27871.73 26379.81 32451.20 25985.97 30757.40 28876.36 27088.66 245
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
Fast-Effi-MVS+-dtu78.02 20076.49 21382.62 18283.16 27966.96 15986.94 17287.45 23172.45 15371.49 26684.17 27454.79 22391.58 22967.61 20080.31 22489.30 222
gg-mvs-nofinetune69.95 29067.96 29375.94 29283.07 28054.51 32977.23 32070.29 35563.11 28870.32 27562.33 35843.62 31788.69 28453.88 30487.76 13484.62 318
MVSTER79.01 17577.88 17982.38 18683.07 28064.80 19784.08 25088.95 19569.01 22378.69 14387.17 21254.70 22492.43 19974.69 13680.57 22189.89 207
K. test v371.19 27868.51 28679.21 25483.04 28257.78 29584.35 24376.91 34072.90 15262.99 33782.86 29239.27 33791.09 24661.65 25152.66 35988.75 243
eth_miper_zixun_eth77.92 20376.69 21081.61 20183.00 28361.98 24883.15 26389.20 18369.52 20874.86 23484.35 27261.76 16092.56 19571.50 16472.89 31190.28 185
diffmvs82.10 10281.88 10482.76 18083.00 28363.78 21783.68 25389.76 16572.94 15182.02 10389.85 13865.96 11290.79 25182.38 7587.30 14293.71 66
FMVSNet569.50 29267.96 29374.15 31082.97 28555.35 32480.01 29582.12 30162.56 29763.02 33581.53 30636.92 34681.92 33148.42 32974.06 29985.17 311
DWT-MVSNet_test73.70 25771.86 26279.21 25482.91 28658.94 27882.34 27182.17 29965.21 26471.05 27078.31 33344.21 31490.17 26063.29 23677.28 25188.53 249
c3_l78.75 18077.91 17781.26 21082.89 28761.56 25484.09 24989.13 18769.97 19875.56 21184.29 27366.36 10492.09 21573.47 14875.48 28090.12 191
sss73.60 25873.64 24873.51 31382.80 28855.01 32576.12 32381.69 30562.47 29874.68 23685.85 24857.32 20778.11 34660.86 25880.93 21487.39 270
GA-MVS76.87 22375.17 23281.97 19482.75 28962.58 24081.44 28286.35 24872.16 16174.74 23582.89 29146.20 30292.02 21768.85 19181.09 21391.30 151
v14878.72 18177.80 18181.47 20382.73 29061.96 24986.30 19388.08 21673.26 14676.18 20085.47 25662.46 15092.36 20371.92 16173.82 30390.09 194
IterMVS-SCA-FT75.43 24373.87 24680.11 23682.69 29164.85 19681.57 28083.47 28469.16 21770.49 27384.15 27551.95 25088.15 29069.23 18572.14 31687.34 272
miper_ehance_all_eth78.59 18577.76 18481.08 21682.66 29261.56 25483.65 25489.15 18568.87 22675.55 21283.79 28166.49 10292.03 21673.25 15176.39 26789.64 215
CostFormer75.24 24673.90 24579.27 25282.65 29358.27 28580.80 28482.73 29661.57 30475.33 22383.13 28955.52 21691.07 24764.98 22578.34 24488.45 250
EPNet_dtu75.46 24274.86 23377.23 28482.57 29454.60 32786.89 17483.09 29271.64 16666.25 31885.86 24755.99 21588.04 29254.92 30086.55 15389.05 229
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
RPSCF73.23 26471.46 26578.54 26382.50 29559.85 27282.18 27382.84 29558.96 32471.15 26989.41 15545.48 30984.77 31658.82 27571.83 31891.02 160
cl____77.72 20776.76 20780.58 22682.49 29660.48 26783.09 26487.87 22169.22 21474.38 23985.22 26162.10 15791.53 23171.09 16675.41 28389.73 214
DIV-MVS_self_test77.72 20776.76 20780.58 22682.48 29760.48 26783.09 26487.86 22269.22 21474.38 23985.24 26062.10 15791.53 23171.09 16675.40 28489.74 213
tpm cat170.57 28368.31 28877.35 28182.41 29857.95 29178.08 31480.22 32152.04 35268.54 29677.66 33952.00 24987.84 29451.77 31172.07 31786.25 294
cl2278.07 19877.01 19981.23 21182.37 29961.83 25183.55 25887.98 21868.96 22475.06 23083.87 27761.40 16991.88 22373.53 14576.39 26789.98 203
MVS_030472.48 27070.89 27377.24 28382.20 30059.68 27384.11 24883.49 28367.10 24266.87 30980.59 31535.00 35287.40 29759.07 27279.58 22984.63 317
tpm72.37 27371.71 26474.35 30882.19 30152.00 34379.22 30377.29 33764.56 27372.95 25083.68 28451.35 25783.26 32758.33 28075.80 27487.81 261
tpmvs71.09 27969.29 28276.49 28982.04 30256.04 31978.92 30781.37 30864.05 28167.18 30678.28 33449.74 27689.77 26449.67 32572.37 31383.67 325
pmmvs474.03 25571.91 26180.39 22981.96 30368.32 13181.45 28182.14 30059.32 32169.87 28585.13 26352.40 24188.13 29160.21 26274.74 29484.73 316
TinyColmap67.30 30664.81 31074.76 30581.92 30456.68 31080.29 29381.49 30760.33 31156.27 35683.22 28824.77 36287.66 29645.52 34569.47 32779.95 348
ITE_SJBPF78.22 26781.77 30560.57 26583.30 28669.25 21367.54 30187.20 21036.33 34887.28 29954.34 30274.62 29586.80 286
miper_enhance_ethall77.87 20576.86 20380.92 22081.65 30661.38 25682.68 26888.98 19265.52 26375.47 21382.30 29965.76 11492.00 21872.95 15476.39 26789.39 220
MVS-HIRNet59.14 32457.67 32763.57 34281.65 30643.50 36571.73 34065.06 36639.59 36251.43 36057.73 36238.34 34182.58 33039.53 35773.95 30064.62 361
GG-mvs-BLEND75.38 29981.59 30855.80 32179.32 30169.63 35767.19 30573.67 35143.24 31888.90 28350.41 31784.50 17381.45 341
IterMVS74.29 25072.94 25478.35 26681.53 30963.49 22481.58 27982.49 29768.06 23669.99 28283.69 28351.66 25685.54 30965.85 21871.64 31986.01 301
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CHOSEN 280x42066.51 31064.71 31171.90 32081.45 31063.52 22357.98 36268.95 36153.57 34862.59 33976.70 34246.22 30175.29 35855.25 29979.68 22876.88 355
gm-plane-assit81.40 31153.83 33462.72 29680.94 31292.39 20163.40 234
pmmvs674.69 24873.39 24978.61 26181.38 31257.48 29986.64 18387.95 21964.99 27070.18 27786.61 22950.43 26889.52 26962.12 24670.18 32688.83 240
test-LLR72.94 26872.43 25774.48 30681.35 31358.04 28878.38 31077.46 33466.66 24769.95 28379.00 32848.06 28979.24 34066.13 21384.83 16986.15 297
test-mter71.41 27770.39 27874.48 30681.35 31358.04 28878.38 31077.46 33460.32 31269.95 28379.00 32836.08 34979.24 34066.13 21384.83 16986.15 297
CR-MVSNet73.37 26071.27 26979.67 24681.32 31565.19 19175.92 32580.30 31959.92 31672.73 25281.19 30752.50 23986.69 30159.84 26477.71 24787.11 281
RPMNet73.51 25970.49 27582.58 18381.32 31565.19 19175.92 32592.27 8357.60 33472.73 25276.45 34452.30 24295.43 7448.14 33477.71 24787.11 281
bset_n11_16_dypcd77.12 21875.47 22482.06 19081.12 31765.99 17381.37 28383.20 29069.94 19976.09 20483.38 28747.75 29192.26 20878.51 10077.91 24687.95 256
V4279.38 16778.24 17182.83 17281.10 31865.50 18585.55 21389.82 16371.57 17178.21 15586.12 24360.66 18393.18 17575.64 12975.46 28289.81 211
lessismore_v078.97 25681.01 31957.15 30265.99 36461.16 34282.82 29339.12 33891.34 23759.67 26546.92 36488.43 251
Patchmtry70.74 28169.16 28375.49 29880.72 32054.07 33274.94 33480.30 31958.34 32870.01 28081.19 30752.50 23986.54 30253.37 30671.09 32385.87 304
PatchT68.46 30167.85 29570.29 32980.70 32143.93 36472.47 33874.88 34560.15 31470.55 27176.57 34349.94 27381.59 33250.58 31674.83 29385.34 307
USDC70.33 28668.37 28776.21 29180.60 32256.23 31779.19 30486.49 24460.89 30861.29 34185.47 25631.78 35889.47 27153.37 30676.21 27182.94 335
tpmrst72.39 27172.13 26073.18 31780.54 32349.91 35479.91 29779.08 32863.11 28871.69 26479.95 32155.32 21782.77 32965.66 22073.89 30186.87 284
anonymousdsp78.60 18477.15 19782.98 16780.51 32467.08 15487.24 16589.53 17165.66 26175.16 22687.19 21152.52 23892.25 20977.17 11679.34 23589.61 216
OpenMVS_ROBcopyleft64.09 1970.56 28468.19 28977.65 27680.26 32559.41 27785.01 22382.96 29458.76 32665.43 32282.33 29837.63 34591.23 24045.34 34776.03 27282.32 336
Anonymous2023120668.60 29867.80 29771.02 32780.23 32650.75 35278.30 31380.47 31656.79 33966.11 31982.63 29646.35 30078.95 34243.62 35075.70 27583.36 328
miper_lstm_enhance74.11 25373.11 25377.13 28580.11 32759.62 27472.23 33986.92 24066.76 24570.40 27482.92 29056.93 21282.92 32869.06 18872.63 31288.87 238
MIMVSNet168.58 29966.78 30673.98 31180.07 32851.82 34480.77 28584.37 26764.40 27559.75 34782.16 30236.47 34783.63 32342.73 35270.33 32586.48 292
ADS-MVSNet266.20 31563.33 31774.82 30479.92 32958.75 28167.55 35475.19 34453.37 34965.25 32475.86 34542.32 32480.53 33841.57 35468.91 33085.18 309
ADS-MVSNet64.36 31962.88 32168.78 33679.92 32947.17 35967.55 35471.18 35353.37 34965.25 32475.86 34542.32 32473.99 36241.57 35468.91 33085.18 309
D2MVS74.82 24773.21 25179.64 24779.81 33162.56 24180.34 29287.35 23264.37 27668.86 29282.66 29546.37 29990.10 26167.91 19881.24 21286.25 294
our_test_369.14 29467.00 30475.57 29679.80 33258.80 28077.96 31577.81 33259.55 31962.90 33878.25 33547.43 29283.97 32051.71 31267.58 33483.93 324
ppachtmachnet_test70.04 28967.34 30278.14 26879.80 33261.13 25779.19 30480.59 31459.16 32365.27 32379.29 32546.75 29887.29 29849.33 32666.72 33586.00 303
dp66.80 30765.43 30970.90 32879.74 33448.82 35775.12 33274.77 34659.61 31864.08 33177.23 34042.89 32080.72 33748.86 32866.58 33783.16 330
EPMVS69.02 29568.16 29071.59 32179.61 33549.80 35677.40 31966.93 36362.82 29470.01 28079.05 32645.79 30577.86 34856.58 29475.26 28987.13 280
PVSNet_057.27 2061.67 32359.27 32668.85 33579.61 33557.44 30068.01 35373.44 35155.93 34358.54 34970.41 35544.58 31277.55 34947.01 33835.91 36571.55 358
CL-MVSNet_self_test72.37 27371.46 26575.09 30179.49 33753.53 33580.76 28685.01 26269.12 21870.51 27282.05 30357.92 20084.13 31952.27 31066.00 33987.60 265
Patchmatch-test64.82 31863.24 31869.57 33179.42 33849.82 35563.49 36069.05 36051.98 35359.95 34680.13 31950.91 26170.98 36440.66 35673.57 30487.90 259
MDA-MVSNet-bldmvs66.68 30863.66 31675.75 29379.28 33960.56 26673.92 33678.35 33064.43 27450.13 36179.87 32344.02 31683.67 32246.10 34356.86 35483.03 333
TESTMET0.1,169.89 29169.00 28472.55 31879.27 34056.85 30578.38 31074.71 34857.64 33368.09 29777.19 34137.75 34476.70 35163.92 23084.09 17884.10 323
N_pmnet52.79 32953.26 33051.40 34978.99 3417.68 38069.52 3473.89 38051.63 35457.01 35374.98 34940.83 33365.96 36737.78 35964.67 34280.56 347
EU-MVSNet68.53 30067.61 30071.31 32678.51 34247.01 36084.47 23684.27 27142.27 35866.44 31784.79 26840.44 33483.76 32158.76 27668.54 33383.17 329
pmmvs571.55 27670.20 27975.61 29577.83 34356.39 31481.74 27780.89 30957.76 33267.46 30284.49 27049.26 28285.32 31257.08 29175.29 28885.11 312
test0.0.03 168.00 30267.69 29968.90 33477.55 34447.43 35875.70 32872.95 35266.66 24766.56 31282.29 30048.06 28975.87 35544.97 34874.51 29683.41 327
Patchmatch-RL test70.24 28767.78 29877.61 27777.43 34559.57 27671.16 34170.33 35462.94 29268.65 29472.77 35250.62 26585.49 31069.58 18366.58 33787.77 262
pmmvs-eth3d70.50 28567.83 29678.52 26477.37 34666.18 17081.82 27581.51 30658.90 32563.90 33380.42 31742.69 32286.28 30558.56 27765.30 34183.11 331
JIA-IIPM66.32 31262.82 32276.82 28777.09 34761.72 25365.34 35775.38 34358.04 33164.51 32862.32 35942.05 32886.51 30351.45 31469.22 32982.21 337
Gipumacopyleft45.18 33341.86 33655.16 34777.03 34851.52 34732.50 36880.52 31532.46 36627.12 36735.02 3689.52 37575.50 35622.31 36860.21 35238.45 367
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MDA-MVSNet_test_wron65.03 31662.92 31971.37 32375.93 34956.73 30769.09 35274.73 34757.28 33754.03 35877.89 33645.88 30374.39 36149.89 32461.55 34882.99 334
YYNet165.03 31662.91 32071.38 32275.85 35056.60 31169.12 35174.66 34957.28 33754.12 35777.87 33745.85 30474.48 36049.95 32361.52 34983.05 332
PMMVS69.34 29368.67 28571.35 32575.67 35162.03 24775.17 32973.46 35050.00 35568.68 29379.05 32652.07 24878.13 34561.16 25682.77 19673.90 356
testgi66.67 30966.53 30767.08 34075.62 35241.69 36775.93 32476.50 34166.11 25465.20 32686.59 23035.72 35074.71 35943.71 34973.38 30884.84 314
test20.0367.45 30466.95 30568.94 33375.48 35344.84 36377.50 31877.67 33366.66 24763.01 33683.80 28047.02 29578.40 34442.53 35368.86 33283.58 326
KD-MVS_2432*160066.22 31363.89 31473.21 31475.47 35453.42 33770.76 34484.35 26864.10 27966.52 31478.52 33134.55 35384.98 31350.40 31850.33 36281.23 342
miper_refine_blended66.22 31363.89 31473.21 31475.47 35453.42 33770.76 34484.35 26864.10 27966.52 31478.52 33134.55 35384.98 31350.40 31850.33 36281.23 342
Anonymous2024052168.80 29767.22 30373.55 31274.33 35654.11 33183.18 26285.61 25558.15 32961.68 34080.94 31230.71 35981.27 33557.00 29273.34 30985.28 308
KD-MVS_self_test68.81 29667.59 30172.46 31974.29 35745.45 36177.93 31687.00 23863.12 28763.99 33278.99 33042.32 32484.77 31656.55 29564.09 34487.16 279
PM-MVS66.41 31164.14 31373.20 31673.92 35856.45 31278.97 30664.96 36763.88 28564.72 32780.24 31819.84 36783.44 32566.24 21264.52 34379.71 349
UnsupCasMVSNet_bld63.70 32161.53 32570.21 33073.69 35951.39 34972.82 33781.89 30255.63 34457.81 35171.80 35438.67 33978.61 34349.26 32752.21 36080.63 345
UnsupCasMVSNet_eth67.33 30565.99 30871.37 32373.48 36051.47 34875.16 33085.19 25965.20 26560.78 34380.93 31442.35 32377.20 35057.12 29053.69 35885.44 306
TDRefinement67.49 30364.34 31276.92 28673.47 36161.07 25884.86 22782.98 29359.77 31758.30 35085.13 26326.06 36187.89 29347.92 33660.59 35181.81 340
ambc75.24 30073.16 36250.51 35363.05 36187.47 23064.28 32977.81 33817.80 36889.73 26657.88 28460.64 35085.49 305
CMPMVSbinary51.72 2170.19 28868.16 29076.28 29073.15 36357.55 29879.47 30083.92 27548.02 35656.48 35584.81 26743.13 31986.42 30462.67 24181.81 20884.89 313
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
new-patchmatchnet61.73 32261.73 32461.70 34372.74 36424.50 37769.16 35078.03 33161.40 30556.72 35475.53 34838.42 34076.48 35345.95 34457.67 35384.13 322
LF4IMVS64.02 32062.19 32369.50 33270.90 36553.29 34076.13 32277.18 33852.65 35158.59 34880.98 31123.55 36476.52 35253.06 30866.66 33678.68 351
new_pmnet50.91 33150.29 33252.78 34868.58 36634.94 37263.71 35956.63 37139.73 36144.95 36265.47 35721.93 36558.48 36834.98 36156.62 35564.92 360
DSMNet-mixed57.77 32656.90 32860.38 34467.70 36735.61 37069.18 34953.97 37232.30 36757.49 35279.88 32240.39 33568.57 36638.78 35872.37 31376.97 354
FPMVS53.68 32851.64 33159.81 34565.08 36851.03 35069.48 34869.58 35841.46 35940.67 36372.32 35316.46 37070.00 36524.24 36765.42 34058.40 364
pmmvs357.79 32554.26 32968.37 33764.02 36956.72 30875.12 33265.17 36540.20 36052.93 35969.86 35620.36 36675.48 35745.45 34655.25 35772.90 357
wuyk23d16.82 34215.94 34519.46 35658.74 37031.45 37339.22 3663.74 3816.84 3726.04 3752.70 3751.27 38024.29 37510.54 37414.40 3742.63 372
PMMVS240.82 33538.86 33846.69 35053.84 37116.45 37848.61 36549.92 37337.49 36331.67 36560.97 3618.14 37756.42 36928.42 36430.72 36767.19 359
LCM-MVSNet54.25 32749.68 33367.97 33853.73 37245.28 36266.85 35680.78 31135.96 36439.45 36462.23 3608.70 37678.06 34748.24 33351.20 36180.57 346
E-PMN31.77 33630.64 33935.15 35352.87 37327.67 37457.09 36347.86 37424.64 36816.40 37333.05 36911.23 37354.90 37014.46 37218.15 37022.87 369
EMVS30.81 33829.65 34034.27 35450.96 37425.95 37656.58 36446.80 37524.01 36915.53 37430.68 37012.47 37254.43 37112.81 37317.05 37122.43 370
ANet_high50.57 33246.10 33563.99 34148.67 37539.13 36870.99 34380.85 31061.39 30631.18 36657.70 36317.02 36973.65 36331.22 36215.89 37279.18 350
MVEpermissive26.22 2330.37 33925.89 34343.81 35144.55 37635.46 37128.87 36939.07 37618.20 37018.58 37240.18 3672.68 37947.37 37317.07 37123.78 36948.60 366
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMVScopyleft37.38 2244.16 33440.28 33755.82 34640.82 37742.54 36665.12 35863.99 36834.43 36524.48 36857.12 3643.92 37876.17 35417.10 37055.52 35648.75 365
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepMVS_CXcopyleft27.40 35540.17 37826.90 37524.59 37917.44 37123.95 36948.61 3669.77 37426.48 37418.06 36924.47 36828.83 368
test_method31.52 33729.28 34138.23 35227.03 3796.50 38120.94 37062.21 3704.05 37322.35 37152.50 36513.33 37147.58 37227.04 36634.04 36660.62 362
tmp_tt18.61 34121.40 34410.23 3574.82 38010.11 37934.70 36730.74 3781.48 37423.91 37026.07 37128.42 36013.41 37627.12 36515.35 3737.17 371
testmvs6.04 3458.02 3480.10 3590.08 3810.03 38369.74 3460.04 3820.05 3760.31 3771.68 3760.02 3820.04 3770.24 3750.02 3750.25 374
test1236.12 3448.11 3470.14 3580.06 3820.09 38271.05 3420.03 3830.04 3770.25 3781.30 3770.05 3810.03 3780.21 3760.01 3760.29 373
test_blank0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
eth-test20.00 383
eth-test0.00 383
uanet_test0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
cdsmvs_eth3d_5k19.96 34026.61 3420.00 3600.00 3830.00 3840.00 37189.26 1800.00 3780.00 37988.61 17161.62 1630.00 3790.00 3770.00 3770.00 375
pcd_1.5k_mvsjas5.26 3467.02 3490.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 37863.15 1390.00 3790.00 3770.00 3770.00 375
sosnet-low-res0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
sosnet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
uncertanet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
Regformer0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
ab-mvs-re7.23 3439.64 3460.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 37986.72 2210.00 3830.00 3790.00 3770.00 3770.00 375
uanet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
PC_three_145268.21 23592.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 7
test_241102_TWO94.06 1277.24 5292.78 495.72 881.26 897.44 589.07 996.58 694.26 40
test_0728_THIRD78.38 3592.12 995.78 481.46 797.40 789.42 496.57 794.67 23
GSMVS88.96 235
sam_mvs151.32 25888.96 235
sam_mvs50.01 271
MTGPAbinary92.02 94
test_post178.90 3085.43 37448.81 28885.44 31159.25 269
test_post5.46 37350.36 26984.24 318
patchmatchnet-post74.00 35051.12 26088.60 285
MTMP92.18 3432.83 377
test9_res84.90 3395.70 3192.87 104
agg_prior282.91 6595.45 3392.70 107
test_prior472.60 3589.01 103
test_prior288.85 10975.41 9684.91 5793.54 5474.28 3583.31 5795.86 22
旧先验286.56 18658.10 33087.04 3588.98 27974.07 141
新几何286.29 194
无先验87.48 15788.98 19260.00 31594.12 12967.28 20488.97 234
原ACMM286.86 175
testdata291.01 24862.37 243
segment_acmp73.08 44
testdata184.14 24775.71 90
plane_prior592.44 7595.38 7978.71 9886.32 15691.33 149
plane_prior491.00 116
plane_prior368.60 12778.44 3378.92 140
plane_prior291.25 5079.12 26
plane_prior68.71 12290.38 7177.62 4186.16 159
n20.00 384
nn0.00 384
door-mid69.98 356
test1192.23 86
door69.44 359
HQP5-MVS66.98 156
BP-MVS77.47 112
HQP4-MVS77.24 17595.11 8991.03 158
HQP3-MVS92.19 8985.99 162
HQP2-MVS60.17 190
MDTV_nov1_ep13_2view37.79 36975.16 33055.10 34566.53 31349.34 28053.98 30387.94 258
ACMMP++_ref81.95 206
ACMMP++81.25 211
Test By Simon64.33 124