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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort by
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2393.63 2474.77 11292.29 795.97 274.28 3697.24 1188.58 1396.91 194.87 13
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
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
PC_three_145268.21 23892.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 7
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 24692.39 688.94 1196.63 494.85 16
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
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5496.48 894.88 11
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
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
DVP-MVScopyleft89.60 390.35 387.33 4595.27 571.25 6393.49 992.73 6577.33 5092.12 995.78 480.98 997.40 789.08 796.41 1293.33 86
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 42
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5993.59 2676.27 8288.14 2695.09 1571.06 6296.67 2887.67 1696.37 1494.09 46
DPE-MVScopyleft89.48 589.98 488.01 1494.80 1172.69 3291.59 4494.10 1075.90 8892.29 795.66 1081.67 697.38 987.44 2096.34 1593.95 54
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
MP-MVS-pluss87.67 2287.72 2287.54 3993.64 5072.04 5289.80 8793.50 2875.17 10386.34 4195.29 1270.86 6396.00 5388.78 1296.04 1694.58 27
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6989.69 16874.31 12389.16 1995.10 1375.65 2296.19 4587.07 2196.01 1794.79 18
SF-MVS88.46 1188.74 1187.64 3892.78 6971.95 5392.40 2394.74 275.71 9089.16 1995.10 1375.65 2296.19 4587.07 2196.01 1794.79 18
CNVR-MVS88.93 989.13 988.33 794.77 1273.82 990.51 6693.00 4780.90 988.06 2894.06 4676.43 1796.84 2088.48 1495.99 1994.34 37
PHI-MVS86.43 4686.17 5287.24 4690.88 9970.96 7292.27 3294.07 1172.45 15785.22 5391.90 9069.47 7896.42 3883.28 6095.94 2094.35 36
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4894.70 374.47 12088.86 2294.61 2175.23 2595.84 5886.62 2695.92 2194.78 20
test_prior386.73 3986.86 4086.33 6392.61 7469.59 10088.85 11292.97 5475.41 9684.91 5893.54 5474.28 3695.48 7083.31 5795.86 2293.91 55
test_prior288.85 11275.41 9684.91 5893.54 5474.28 3683.31 5795.86 22
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2380.19 1488.10 2794.80 1673.76 4197.11 1387.51 1895.82 2494.90 10
Skip Steuart: Steuart Systems R&D Blog.
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6685.24 5294.32 3571.76 5696.93 1885.53 2995.79 2594.32 38
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8872.45 4190.02 8094.37 471.76 16687.28 3494.27 3675.18 2696.08 4985.16 3095.77 2693.80 65
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6494.05 1570.80 18587.59 3393.51 5677.57 1496.63 3183.31 5795.77 2694.72 23
9.1488.26 1592.84 6891.52 4794.75 173.93 13388.57 2494.67 1975.57 2495.79 5986.77 2395.76 28
DeepPCF-MVS80.84 188.10 1288.56 1286.73 5692.24 7869.03 10989.57 9393.39 3477.53 4789.79 1894.12 4378.98 1296.58 3685.66 2795.72 2994.58 27
train_agg86.43 4686.20 5087.13 4993.26 5672.96 2688.75 11791.89 10368.69 23285.00 5693.10 6574.43 3295.41 7684.97 3295.71 3093.02 99
test9_res84.90 3395.70 3192.87 105
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
agg_prior282.91 6595.45 3392.70 108
CDPH-MVS85.76 5885.29 6687.17 4893.49 5371.08 6888.58 12492.42 7868.32 23784.61 6893.48 5772.32 5196.15 4879.00 9995.43 3494.28 40
DeepC-MVS79.81 287.08 3786.88 3987.69 3691.16 9272.32 4790.31 7493.94 1777.12 5882.82 9794.23 3972.13 5497.09 1484.83 3695.37 3593.65 73
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7692.02 9479.45 2085.88 4394.80 1668.07 8896.21 4386.69 2495.34 3693.23 89
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18992.02 9479.45 2085.88 4394.80 1668.07 8896.21 4386.69 2495.34 3693.23 89
agg_prior186.22 5186.09 5586.62 5992.85 6671.94 5488.59 12391.78 11068.96 22784.41 7293.18 6474.94 2794.93 9884.75 3895.33 3893.01 100
DeepC-MVS_fast79.65 386.91 3886.62 4287.76 2993.52 5272.37 4491.26 5093.04 4376.62 7384.22 7693.36 6171.44 6096.76 2480.82 8695.33 3894.16 43
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2292.65 7077.57 4383.84 8394.40 3472.24 5296.28 4185.65 2895.30 4093.62 76
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8593.82 1973.07 15284.86 6392.89 7276.22 1896.33 3984.89 3595.13 4194.40 34
GST-MVS87.42 2887.26 2987.89 2494.12 3972.97 2592.39 2593.43 3276.89 6484.68 6493.99 5070.67 6796.82 2184.18 5095.01 4293.90 57
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 4192.83 6173.01 15488.58 2394.52 2373.36 4296.49 3784.26 4695.01 4292.70 108
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5492.83 6181.50 685.79 4693.47 5973.02 4797.00 1784.90 3394.94 4494.10 45
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
CS-MVS-test86.29 5086.48 4485.71 7791.02 9567.21 15592.36 2893.78 2178.97 3083.51 8991.20 10970.65 6895.15 8881.96 7794.89 4694.77 21
HFP-MVS87.58 2387.47 2587.94 1794.58 1673.54 1593.04 1293.24 3776.78 6884.91 5894.44 3070.78 6496.61 3284.53 4194.89 4693.66 68
#test#87.33 3187.13 3387.94 1794.58 1673.54 1592.34 2993.24 3775.23 10084.91 5894.44 3070.78 6496.61 3283.75 5594.89 4693.66 68
ZD-MVS94.38 2772.22 4892.67 6770.98 18387.75 3194.07 4574.01 4096.70 2684.66 3994.84 49
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3393.49 2974.75 11388.33 2594.43 3273.27 4497.02 1684.18 5094.84 4993.82 62
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7184.45 7194.52 2369.09 8296.70 2684.37 4494.83 5194.03 49
原ACMM184.35 11693.01 6468.79 11592.44 7563.96 28681.09 11891.57 9966.06 11095.45 7267.19 21094.82 5288.81 245
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3493.33 3576.07 8583.81 8493.95 5169.77 7696.01 5285.15 3194.66 5394.32 38
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
DPM-MVS84.93 7284.29 7786.84 5390.20 11273.04 2487.12 17193.04 4369.80 20482.85 9691.22 10873.06 4696.02 5176.72 12594.63 5491.46 150
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4992.35 8074.62 11788.90 2193.85 5275.75 2196.00 5387.80 1594.63 5495.04 5
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
PGM-MVS86.68 4286.27 4887.90 2194.22 3573.38 1990.22 7793.04 4375.53 9483.86 8294.42 3367.87 9296.64 3082.70 7194.57 5693.66 68
XVS87.18 3486.91 3888.00 1594.42 2273.33 2092.78 1892.99 4979.14 2383.67 8694.17 4067.45 9596.60 3483.06 6294.50 5794.07 47
X-MVStestdata80.37 14777.83 18488.00 1594.42 2273.33 2092.78 1892.99 4979.14 2383.67 8612.47 37467.45 9596.60 3483.06 6294.50 5794.07 47
test1286.80 5592.63 7370.70 8191.79 10982.71 9971.67 5796.16 4794.50 5793.54 80
CP-MVS87.11 3586.92 3787.68 3794.20 3673.86 893.98 392.82 6476.62 7383.68 8594.46 2767.93 9095.95 5684.20 4994.39 6093.23 89
CSCG86.41 4886.19 5187.07 5092.91 6572.48 3890.81 6093.56 2773.95 13183.16 9291.07 11475.94 1995.19 8679.94 9594.38 6193.55 79
MSLP-MVS++85.43 6485.76 5884.45 11291.93 8370.24 8690.71 6292.86 5977.46 4984.22 7692.81 7667.16 9992.94 18980.36 9194.35 6290.16 191
mPP-MVS86.67 4386.32 4787.72 3294.41 2473.55 1392.74 2092.22 8776.87 6582.81 9894.25 3866.44 10496.24 4282.88 6694.28 6393.38 83
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4293.19 4077.87 3890.32 1794.00 4874.83 2893.78 14987.63 1794.27 6493.65 73
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
MSP-MVS89.51 489.91 588.30 994.28 3273.46 1892.90 1694.11 880.27 1291.35 1494.16 4178.35 1396.77 2389.59 394.22 6594.67 24
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
DELS-MVS85.41 6585.30 6585.77 7688.49 17567.93 13885.52 22193.44 3178.70 3183.63 8889.03 16574.57 2995.71 6280.26 9394.04 6693.66 68
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
EPNet83.72 7982.92 8886.14 6984.22 26069.48 10391.05 5785.27 25981.30 776.83 18691.65 9566.09 10995.56 6576.00 13093.85 6793.38 83
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DROMVSNet86.01 5386.38 4584.91 9789.31 14466.27 17092.32 3093.63 2479.37 2284.17 7891.88 9169.04 8595.43 7483.93 5393.77 6893.01 100
3Dnovator+77.84 485.48 6284.47 7688.51 691.08 9373.49 1793.18 1193.78 2180.79 1076.66 19193.37 6060.40 19096.75 2577.20 11793.73 6995.29 3
CS-MVS86.69 4186.95 3685.90 7590.76 10267.57 14692.83 1793.30 3679.67 1984.57 7092.27 8371.47 5995.02 9684.24 4893.46 7095.13 4
CANet86.45 4586.10 5487.51 4090.09 11470.94 7489.70 9192.59 7281.78 481.32 11391.43 10470.34 6997.23 1284.26 4693.36 7194.37 35
新几何183.42 14993.13 5870.71 8085.48 25757.43 33781.80 10891.98 8863.28 13592.27 21064.60 23192.99 7287.27 276
112180.84 12979.77 13684.05 12993.11 6070.78 7984.66 23485.42 25857.37 33881.76 11192.02 8763.41 13394.12 13367.28 20792.93 7387.26 277
HPM-MVS_fast85.35 6684.95 7186.57 6193.69 4870.58 8492.15 3691.62 11473.89 13482.67 10094.09 4462.60 14795.54 6880.93 8492.93 7393.57 78
SR-MVS86.73 3986.67 4186.91 5294.11 4072.11 5192.37 2792.56 7374.50 11886.84 3794.65 2067.31 9795.77 6084.80 3792.85 7592.84 106
旧先验191.96 8265.79 18186.37 24793.08 6969.31 8192.74 7688.74 248
3Dnovator76.31 583.38 8782.31 9686.59 6087.94 19272.94 2990.64 6392.14 9177.21 5475.47 21592.83 7458.56 19794.72 11173.24 15592.71 7792.13 130
test117286.20 5286.22 4986.12 7093.95 4269.89 9591.79 4392.28 8275.07 10486.40 4094.58 2265.00 12295.56 6584.34 4592.60 7892.90 104
MVS_111021_HR85.14 6984.75 7386.32 6591.65 8772.70 3185.98 20490.33 15076.11 8482.08 10391.61 9871.36 6194.17 13281.02 8392.58 7992.08 131
APD-MVS_3200maxsize85.97 5485.88 5686.22 6792.69 7269.53 10291.93 3892.99 4973.54 14385.94 4294.51 2665.80 11495.61 6383.04 6492.51 8093.53 81
test250677.30 21976.49 21679.74 24690.08 11552.02 34487.86 15463.10 37174.88 10980.16 12992.79 7738.29 34492.35 20768.74 19592.50 8194.86 14
ECVR-MVScopyleft79.61 16079.26 15180.67 22890.08 11554.69 32887.89 15277.44 33874.88 10980.27 12692.79 7748.96 28992.45 20168.55 19692.50 8194.86 14
test111179.43 16779.18 15580.15 23889.99 12053.31 34187.33 16677.05 34175.04 10580.23 12892.77 7948.97 28892.33 20968.87 19392.40 8394.81 17
patch_mono-283.65 8084.54 7580.99 22190.06 11965.83 17884.21 24988.74 20471.60 17385.01 5492.44 8174.51 3083.50 32682.15 7692.15 8493.64 75
dcpmvs_285.63 6186.15 5384.06 12791.71 8664.94 19986.47 19291.87 10573.63 13986.60 3993.02 7076.57 1691.87 22583.36 5692.15 8495.35 1
MAR-MVS81.84 10980.70 12085.27 8491.32 9171.53 6089.82 8590.92 13469.77 20578.50 14986.21 24562.36 15394.52 11765.36 22492.05 8689.77 215
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
TSAR-MVS + GP.85.71 5985.33 6386.84 5391.34 9072.50 3789.07 10587.28 23376.41 7585.80 4590.22 13274.15 3995.37 8281.82 7891.88 8792.65 112
SR-MVS-dyc-post85.77 5785.61 5986.23 6693.06 6270.63 8291.88 3992.27 8373.53 14485.69 4794.45 2865.00 12295.56 6582.75 6791.87 8892.50 115
RE-MVS-def85.48 6093.06 6270.63 8291.88 3992.27 8373.53 14485.69 4794.45 2863.87 12982.75 6791.87 8892.50 115
IS-MVSNet83.15 8982.81 8984.18 12289.94 12263.30 23391.59 4488.46 21079.04 2779.49 13492.16 8565.10 11994.28 12267.71 20291.86 9094.95 7
Vis-MVSNet (Re-imp)78.36 19378.45 16878.07 27288.64 17151.78 34786.70 18679.63 32674.14 12975.11 23090.83 12161.29 17389.75 26658.10 28491.60 9192.69 110
MG-MVS83.41 8583.45 8083.28 15492.74 7162.28 24988.17 14189.50 17275.22 10181.49 11292.74 8066.75 10095.11 9072.85 15891.58 9292.45 118
CPTT-MVS83.73 7883.33 8284.92 9693.28 5570.86 7792.09 3790.38 14668.75 23179.57 13392.83 7460.60 18693.04 18780.92 8591.56 9390.86 168
test22291.50 8968.26 13284.16 25083.20 29354.63 34979.74 13191.63 9758.97 19591.42 9486.77 289
ETV-MVS84.90 7484.67 7485.59 7989.39 13668.66 12588.74 11992.64 7179.97 1784.10 7985.71 25369.32 8095.38 7980.82 8691.37 9592.72 107
testdata79.97 24190.90 9864.21 21384.71 26559.27 32485.40 4992.91 7162.02 16089.08 27868.95 19291.37 9586.63 293
abl_685.23 6784.95 7186.07 7192.23 7970.48 8590.80 6192.08 9273.51 14685.26 5194.16 4162.75 14695.92 5782.46 7491.30 9791.81 139
API-MVS81.99 10781.23 11184.26 12090.94 9770.18 9291.10 5589.32 17671.51 17578.66 14688.28 18665.26 11795.10 9364.74 23091.23 9887.51 270
Vis-MVSNetpermissive83.46 8482.80 9085.43 8190.25 11168.74 11990.30 7590.13 15676.33 8180.87 12192.89 7261.00 17994.20 12972.45 16290.97 9993.35 85
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
OpenMVScopyleft72.83 1079.77 15878.33 17384.09 12585.17 24469.91 9390.57 6590.97 13366.70 24972.17 26291.91 8954.70 22593.96 13761.81 25290.95 10088.41 255
UA-Net85.08 7184.96 7085.45 8092.07 8168.07 13689.78 8890.86 13782.48 284.60 6993.20 6369.35 7995.22 8571.39 16890.88 10193.07 96
ACMMPcopyleft85.89 5685.39 6287.38 4493.59 5172.63 3492.74 2093.18 4176.78 6880.73 12293.82 5364.33 12596.29 4082.67 7290.69 10293.23 89
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
Regformer-186.41 4886.33 4686.64 5889.33 13970.93 7588.43 12691.39 12382.14 386.65 3890.09 13474.39 3495.01 9783.97 5290.63 10393.97 53
Regformer-286.63 4486.53 4386.95 5189.33 13971.24 6788.43 12692.05 9382.50 186.88 3690.09 13474.45 3195.61 6384.38 4390.63 10394.01 51
casdiffmvs85.11 7085.14 6785.01 9187.20 21865.77 18287.75 15592.83 6177.84 3984.36 7592.38 8272.15 5393.93 14381.27 8290.48 10595.33 2
UGNet80.83 13179.59 14184.54 10888.04 18968.09 13589.42 9488.16 21276.95 6276.22 20289.46 15449.30 28393.94 14068.48 19790.31 10691.60 142
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
baseline84.93 7284.98 6984.80 10287.30 21665.39 19187.30 16792.88 5877.62 4184.04 8192.26 8471.81 5593.96 13781.31 8190.30 10795.03 6
MVSFormer82.85 9582.05 10185.24 8587.35 21170.21 8790.50 6790.38 14668.55 23481.32 11389.47 15261.68 16293.46 16678.98 10090.26 10892.05 132
lupinMVS81.39 12180.27 13084.76 10387.35 21170.21 8785.55 21786.41 24562.85 29581.32 11388.61 17661.68 16292.24 21278.41 10690.26 10891.83 137
DP-MVS Recon83.11 9282.09 9986.15 6894.44 2170.92 7688.79 11592.20 8870.53 19279.17 13791.03 11764.12 12796.03 5068.39 19990.14 11091.50 147
EIA-MVS83.31 8882.80 9084.82 10089.59 12765.59 18488.21 13992.68 6674.66 11578.96 13986.42 24169.06 8395.26 8475.54 13590.09 11193.62 76
MVS_111021_LR82.61 9982.11 9884.11 12388.82 16271.58 5985.15 22486.16 25074.69 11480.47 12591.04 11562.29 15490.55 25780.33 9290.08 11290.20 190
jason81.39 12180.29 12984.70 10486.63 22869.90 9485.95 20586.77 24163.24 28881.07 11989.47 15261.08 17892.15 21478.33 10790.07 11392.05 132
jason: jason.
LFMVS81.82 11081.23 11183.57 14691.89 8463.43 23189.84 8481.85 30577.04 6183.21 9093.10 6552.26 24593.43 16871.98 16389.95 11493.85 59
MVS78.19 19876.99 20481.78 19985.66 23766.99 15784.66 23490.47 14455.08 34872.02 26485.27 26363.83 13094.11 13566.10 21889.80 11584.24 322
CANet_DTU80.61 14079.87 13482.83 17685.60 23963.17 23887.36 16488.65 20676.37 7975.88 20988.44 18253.51 23693.07 18473.30 15389.74 11692.25 125
PVSNet_Blended80.98 12680.34 12782.90 17488.85 15965.40 18984.43 24492.00 9767.62 24178.11 16185.05 27066.02 11194.27 12371.52 16589.50 11789.01 235
PAPM_NR83.02 9382.41 9384.82 10092.47 7766.37 16887.93 15091.80 10873.82 13577.32 17690.66 12367.90 9194.90 10370.37 17689.48 11893.19 93
114514_t80.68 13879.51 14284.20 12194.09 4167.27 15389.64 9291.11 13158.75 32974.08 24390.72 12258.10 19995.04 9569.70 18489.42 11990.30 187
LCM-MVSNet-Re77.05 22276.94 20577.36 28287.20 21851.60 34880.06 29680.46 31875.20 10267.69 30286.72 22562.48 15088.98 28063.44 23689.25 12091.51 145
alignmvs85.48 6285.32 6485.96 7489.51 13169.47 10489.74 8992.47 7476.17 8387.73 3291.46 10370.32 7093.78 14981.51 7988.95 12194.63 26
VNet82.21 10282.41 9381.62 20290.82 10060.93 26384.47 24089.78 16476.36 8084.07 8091.88 9164.71 12490.26 25970.68 17388.89 12293.66 68
PS-MVSNAJ81.69 11381.02 11583.70 14389.51 13168.21 13484.28 24890.09 15770.79 18681.26 11785.62 25763.15 14094.29 12175.62 13388.87 12388.59 251
canonicalmvs85.91 5585.87 5786.04 7289.84 12469.44 10790.45 7293.00 4776.70 7288.01 2991.23 10773.28 4393.91 14481.50 8088.80 12494.77 21
QAPM80.88 12779.50 14385.03 9088.01 19168.97 11391.59 4492.00 9766.63 25375.15 22992.16 8557.70 20395.45 7263.52 23488.76 12590.66 174
VDD-MVS83.01 9482.36 9584.96 9391.02 9566.40 16788.91 10988.11 21377.57 4384.39 7493.29 6252.19 24693.91 14477.05 11988.70 12694.57 29
PVSNet_Blended_VisFu82.62 9881.83 10684.96 9390.80 10169.76 9788.74 11991.70 11369.39 21178.96 13988.46 18165.47 11694.87 10674.42 14088.57 12790.24 189
xiu_mvs_v2_base81.69 11381.05 11483.60 14489.15 15168.03 13784.46 24290.02 15870.67 18981.30 11686.53 23963.17 13994.19 13075.60 13488.54 12888.57 252
PAPR81.66 11680.89 11883.99 13590.27 11064.00 21686.76 18591.77 11268.84 23077.13 18489.50 15067.63 9394.88 10567.55 20488.52 12993.09 95
MVS_Test83.15 8983.06 8583.41 15186.86 22263.21 23586.11 20292.00 9774.31 12382.87 9589.44 15770.03 7293.21 17377.39 11688.50 13093.81 63
AdaColmapbinary80.58 14379.42 14484.06 12793.09 6168.91 11489.36 9588.97 19469.27 21475.70 21289.69 14457.20 21195.77 6063.06 23988.41 13187.50 271
VDDNet81.52 11880.67 12184.05 12990.44 10864.13 21589.73 9085.91 25371.11 18083.18 9193.48 5750.54 26993.49 16373.40 15288.25 13294.54 30
PCF-MVS73.52 780.38 14678.84 16185.01 9187.71 20168.99 11283.65 25891.46 12263.00 29277.77 16890.28 12966.10 10895.09 9461.40 25588.22 13390.94 166
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Effi-MVS+83.62 8283.08 8485.24 8588.38 18067.45 14888.89 11089.15 18575.50 9582.27 10188.28 18669.61 7794.45 11977.81 11187.84 13493.84 61
gg-mvs-nofinetune69.95 29267.96 29575.94 29483.07 28454.51 33177.23 32270.29 35763.11 29070.32 27762.33 36043.62 31888.69 28653.88 30687.76 13584.62 320
Regformer-385.23 6785.07 6885.70 7888.95 15769.01 11188.29 13689.91 16280.95 885.01 5490.01 13872.45 5094.19 13082.50 7387.57 13693.90 57
Regformer-485.68 6085.45 6186.35 6288.95 15769.67 9988.29 13691.29 12581.73 585.36 5090.01 13872.62 4995.35 8383.28 6087.57 13694.03 49
xiu_mvs_v1_base_debu80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
xiu_mvs_v1_base80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
xiu_mvs_v1_base_debi80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
CLD-MVS82.31 10181.65 10784.29 11988.47 17667.73 14285.81 21292.35 8075.78 8978.33 15486.58 23664.01 12894.35 12076.05 12887.48 14190.79 169
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CDS-MVSNet79.07 17877.70 19083.17 16187.60 20568.23 13384.40 24686.20 24967.49 24376.36 19986.54 23861.54 16590.79 25361.86 25187.33 14290.49 181
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
diffmvs82.10 10381.88 10582.76 18483.00 28763.78 22183.68 25789.76 16572.94 15582.02 10489.85 14165.96 11390.79 25382.38 7587.30 14393.71 67
EPP-MVSNet83.40 8683.02 8684.57 10690.13 11364.47 20892.32 3090.73 13874.45 12279.35 13691.10 11269.05 8495.12 8972.78 15987.22 14494.13 44
TAMVS78.89 18377.51 19583.03 16887.80 19767.79 14184.72 23385.05 26267.63 24076.75 18987.70 19962.25 15590.82 25258.53 28087.13 14590.49 181
TAPA-MVS73.13 979.15 17577.94 18082.79 18189.59 12762.99 24288.16 14291.51 11865.77 26277.14 18391.09 11360.91 18093.21 17350.26 32487.05 14692.17 129
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPM77.68 21276.40 21981.51 20587.29 21761.85 25483.78 25689.59 17064.74 27371.23 27088.70 17262.59 14893.66 15652.66 31187.03 14789.01 235
test_yl81.17 12380.47 12583.24 15789.13 15263.62 22286.21 19989.95 16072.43 16081.78 10989.61 14757.50 20693.58 15770.75 17186.90 14892.52 113
DCV-MVSNet81.17 12380.47 12583.24 15789.13 15263.62 22286.21 19989.95 16072.43 16081.78 10989.61 14757.50 20693.58 15770.75 17186.90 14892.52 113
BH-untuned79.47 16578.60 16582.05 19489.19 15065.91 17686.07 20388.52 20972.18 16275.42 21987.69 20061.15 17693.54 16160.38 26286.83 15086.70 291
BH-RMVSNet79.61 16078.44 16983.14 16289.38 13765.93 17584.95 22987.15 23673.56 14278.19 15989.79 14256.67 21493.36 16959.53 26986.74 15190.13 193
LS3D76.95 22574.82 23783.37 15290.45 10767.36 15289.15 10386.94 23961.87 30569.52 29090.61 12451.71 25794.53 11646.38 34486.71 15288.21 257
Fast-Effi-MVS+80.81 13279.92 13383.47 14788.85 15964.51 20585.53 21989.39 17470.79 18678.49 15085.06 26967.54 9493.58 15767.03 21386.58 15392.32 121
EPNet_dtu75.46 24574.86 23677.23 28682.57 29754.60 32986.89 17883.09 29471.64 16866.25 32085.86 25155.99 21688.04 29454.92 30286.55 15489.05 233
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
OPM-MVS83.50 8382.95 8785.14 8788.79 16570.95 7389.13 10491.52 11777.55 4680.96 12091.75 9360.71 18294.50 11879.67 9686.51 15589.97 207
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
OMC-MVS82.69 9781.97 10484.85 9988.75 16767.42 14987.98 14690.87 13674.92 10879.72 13291.65 9562.19 15793.96 13775.26 13786.42 15693.16 94
HQP_MVS83.64 8183.14 8385.14 8790.08 11568.71 12191.25 5292.44 7579.12 2578.92 14191.00 11860.42 18895.38 7978.71 10286.32 15791.33 151
plane_prior592.44 7595.38 7978.71 10286.32 15791.33 151
thisisatest051577.33 21875.38 23183.18 16085.27 24363.80 22082.11 27783.27 29065.06 26975.91 20883.84 28349.54 27994.27 12367.24 20986.19 15991.48 149
plane_prior68.71 12190.38 7377.62 4186.16 160
mvs_anonymous79.42 16879.11 15680.34 23484.45 25757.97 29282.59 27387.62 22667.40 24476.17 20688.56 17968.47 8789.59 26970.65 17486.05 16193.47 82
GeoE81.71 11281.01 11683.80 14189.51 13164.45 20988.97 10788.73 20571.27 17878.63 14789.76 14366.32 10693.20 17569.89 18286.02 16293.74 66
HQP3-MVS92.19 8985.99 163
HQP-MVS82.61 9982.02 10284.37 11489.33 13966.98 15889.17 9992.19 8976.41 7577.23 17990.23 13160.17 19195.11 9077.47 11485.99 16391.03 162
BH-w/o78.21 19677.33 19880.84 22488.81 16365.13 19684.87 23087.85 22369.75 20674.52 23984.74 27361.34 17193.11 18258.24 28385.84 16584.27 321
CHOSEN 1792x268877.63 21375.69 22483.44 14889.98 12168.58 12778.70 31187.50 22956.38 34375.80 21186.84 22158.67 19691.40 23761.58 25485.75 16690.34 186
Anonymous20240521178.25 19477.01 20281.99 19691.03 9460.67 26884.77 23283.90 27970.65 19180.00 13091.20 10941.08 33491.43 23665.21 22585.26 16793.85 59
cascas76.72 22874.64 23882.99 17085.78 23665.88 17782.33 27589.21 18260.85 31172.74 25481.02 31347.28 29693.75 15367.48 20585.02 16889.34 224
FIs82.07 10582.42 9281.04 22088.80 16458.34 28688.26 13893.49 2976.93 6378.47 15191.04 11569.92 7492.34 20869.87 18384.97 16992.44 119
test-LLR72.94 27072.43 26074.48 30881.35 31658.04 29078.38 31277.46 33666.66 25069.95 28579.00 33148.06 29279.24 34266.13 21684.83 17086.15 299
test-mter71.41 27970.39 28074.48 30881.35 31658.04 29078.38 31277.46 33660.32 31469.95 28579.00 33136.08 35179.24 34266.13 21684.83 17086.15 299
EI-MVSNet-Vis-set84.19 7583.81 7885.31 8288.18 18467.85 13987.66 15789.73 16780.05 1682.95 9389.59 14970.74 6694.82 10780.66 9084.72 17293.28 88
thisisatest053079.40 16977.76 18884.31 11887.69 20365.10 19787.36 16484.26 27570.04 19977.42 17388.26 18849.94 27594.79 10970.20 17784.70 17393.03 98
GG-mvs-BLEND75.38 30181.59 31155.80 32379.32 30369.63 35967.19 30773.67 35343.24 31988.90 28450.41 31984.50 17481.45 343
FC-MVSNet-test81.52 11882.02 10280.03 24088.42 17955.97 32287.95 14893.42 3377.10 5977.38 17490.98 12069.96 7391.79 22668.46 19884.50 17492.33 120
iter_conf_final80.63 13979.35 14884.46 11189.36 13867.70 14389.85 8384.49 26973.19 15078.30 15588.94 16645.98 30594.56 11379.59 9784.48 17691.11 158
PVSNet64.34 1872.08 27770.87 27675.69 29686.21 23256.44 31574.37 33780.73 31362.06 30470.17 28082.23 30442.86 32283.31 32854.77 30384.45 17787.32 275
MS-PatchMatch73.83 25972.67 25877.30 28483.87 26766.02 17381.82 27884.66 26661.37 30968.61 29782.82 29647.29 29588.21 29159.27 27084.32 17877.68 355
iter_conf0580.00 15678.70 16283.91 13987.84 19565.83 17888.84 11484.92 26471.61 17278.70 14388.94 16643.88 31794.56 11379.28 9884.28 17991.33 151
ET-MVSNet_ETH3D78.63 18776.63 21584.64 10586.73 22769.47 10485.01 22784.61 26769.54 20966.51 31886.59 23450.16 27291.75 22776.26 12684.24 18092.69 110
TESTMET0.1,169.89 29369.00 28672.55 32079.27 34256.85 30778.38 31274.71 35057.64 33568.09 29977.19 34337.75 34676.70 35363.92 23384.09 18184.10 325
EI-MVSNet-UG-set83.81 7783.38 8185.09 8987.87 19367.53 14787.44 16389.66 16979.74 1882.23 10289.41 15870.24 7194.74 11079.95 9483.92 18292.99 102
LPG-MVS_test82.08 10481.27 11084.50 10989.23 14868.76 11790.22 7791.94 10175.37 9876.64 19291.51 10054.29 22994.91 10078.44 10483.78 18389.83 212
LGP-MVS_train84.50 10989.23 14868.76 11791.94 10175.37 9876.64 19291.51 10054.29 22994.91 10078.44 10483.78 18389.83 212
thres100view90076.50 23075.55 22779.33 25489.52 13056.99 30685.83 21183.23 29173.94 13276.32 20087.12 21751.89 25491.95 22048.33 33283.75 18589.07 228
tfpn200view976.42 23375.37 23279.55 25389.13 15257.65 29885.17 22283.60 28273.41 14776.45 19486.39 24252.12 24791.95 22048.33 33283.75 18589.07 228
thres40076.50 23075.37 23279.86 24389.13 15257.65 29885.17 22283.60 28273.41 14776.45 19486.39 24252.12 24791.95 22048.33 33283.75 18590.00 203
thres600view776.50 23075.44 22879.68 24889.40 13557.16 30385.53 21983.23 29173.79 13776.26 20187.09 21851.89 25491.89 22348.05 33783.72 18890.00 203
thres20075.55 24474.47 24278.82 26087.78 20057.85 29583.07 27083.51 28572.44 15975.84 21084.42 27552.08 24991.75 22747.41 33983.64 18986.86 287
mvsmamba81.69 11380.74 11984.56 10787.45 21066.72 16391.26 5085.89 25474.66 11578.23 15790.56 12554.33 22894.91 10080.73 8983.54 19092.04 134
XVG-OURS80.41 14579.23 15283.97 13685.64 23869.02 11083.03 27190.39 14571.09 18177.63 17091.49 10254.62 22791.35 23875.71 13183.47 19191.54 144
CNLPA78.08 20076.79 20981.97 19790.40 10971.07 6987.59 15984.55 26866.03 26072.38 26089.64 14657.56 20586.04 30859.61 26883.35 19288.79 246
MVP-Stereo76.12 23774.46 24381.13 21885.37 24269.79 9684.42 24587.95 21965.03 27067.46 30485.33 26253.28 23891.73 22958.01 28583.27 19381.85 341
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
131476.53 22975.30 23480.21 23783.93 26662.32 24884.66 23488.81 19860.23 31570.16 28184.07 28055.30 21990.73 25567.37 20683.21 19487.59 269
tttt051779.40 16977.91 18183.90 14088.10 18763.84 21988.37 13384.05 27771.45 17676.78 18889.12 16249.93 27794.89 10470.18 17883.18 19592.96 103
mvs-test180.88 12779.40 14585.29 8385.13 24769.75 9889.28 9688.10 21474.99 10676.44 19786.72 22557.27 20994.26 12773.53 14883.18 19591.87 136
HyFIR lowres test77.53 21475.40 23083.94 13889.59 12766.62 16480.36 29388.64 20756.29 34476.45 19485.17 26657.64 20493.28 17161.34 25783.10 19791.91 135
ACMP74.13 681.51 12080.57 12284.36 11589.42 13468.69 12489.97 8291.50 12174.46 12175.04 23390.41 12853.82 23494.54 11577.56 11382.91 19889.86 211
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM73.20 880.78 13779.84 13583.58 14589.31 14468.37 12989.99 8191.60 11570.28 19677.25 17789.66 14553.37 23793.53 16274.24 14382.85 19988.85 243
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PMMVS69.34 29568.67 28771.35 32775.67 35362.03 25175.17 33173.46 35250.00 35768.68 29579.05 32952.07 25078.13 34761.16 25882.77 20073.90 358
PLCcopyleft70.83 1178.05 20276.37 22083.08 16591.88 8567.80 14088.19 14089.46 17364.33 27969.87 28788.38 18353.66 23593.58 15758.86 27682.73 20187.86 262
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TR-MVS77.44 21576.18 22181.20 21588.24 18363.24 23484.61 23886.40 24667.55 24277.81 16686.48 24054.10 23193.15 17957.75 28782.72 20287.20 278
Anonymous2024052980.19 15278.89 16084.10 12490.60 10464.75 20288.95 10890.90 13565.97 26180.59 12391.17 11149.97 27493.73 15569.16 19082.70 20393.81 63
ab-mvs79.51 16378.97 15981.14 21788.46 17760.91 26483.84 25589.24 18170.36 19479.03 13888.87 17063.23 13890.21 26165.12 22682.57 20492.28 124
HY-MVS69.67 1277.95 20577.15 20080.36 23387.57 20960.21 27583.37 26587.78 22466.11 25775.37 22187.06 22063.27 13690.48 25861.38 25682.43 20590.40 185
PS-MVSNAJss82.07 10581.31 10984.34 11786.51 22967.27 15389.27 9791.51 11871.75 16779.37 13590.22 13263.15 14094.27 12377.69 11282.36 20691.49 148
UniMVSNet_ETH3D79.10 17778.24 17581.70 20186.85 22360.24 27487.28 16888.79 19974.25 12676.84 18590.53 12749.48 28091.56 23267.98 20082.15 20793.29 87
PVSNet_BlendedMVS80.60 14180.02 13182.36 19188.85 15965.40 18986.16 20192.00 9769.34 21378.11 16186.09 24866.02 11194.27 12371.52 16582.06 20887.39 272
WTY-MVS75.65 24375.68 22575.57 29886.40 23056.82 30877.92 31982.40 30065.10 26876.18 20487.72 19863.13 14380.90 33860.31 26381.96 20989.00 237
ACMMP++_ref81.95 210
DP-MVS76.78 22774.57 23983.42 14993.29 5469.46 10688.55 12583.70 28163.98 28570.20 27888.89 16954.01 23394.80 10846.66 34181.88 21186.01 303
CMPMVSbinary51.72 2170.19 29068.16 29276.28 29273.15 36557.55 30079.47 30283.92 27848.02 35856.48 35784.81 27143.13 32086.42 30662.67 24381.81 21284.89 315
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
bld_raw_dy_0_6477.29 22075.98 22381.22 21485.04 25065.47 18788.14 14477.56 33569.20 21873.77 24589.40 16042.24 32888.85 28576.78 12381.64 21389.33 225
XVG-OURS-SEG-HR80.81 13279.76 13783.96 13785.60 23968.78 11683.54 26390.50 14370.66 19076.71 19091.66 9460.69 18391.26 24076.94 12081.58 21491.83 137
MIMVSNet70.69 28469.30 28374.88 30584.52 25556.35 31875.87 32979.42 32764.59 27467.76 30082.41 30041.10 33381.54 33546.64 34381.34 21586.75 290
ACMMP++81.25 216
D2MVS74.82 25073.21 25479.64 25079.81 33362.56 24580.34 29487.35 23264.37 27868.86 29482.66 29846.37 30190.10 26267.91 20181.24 21786.25 296
GA-MVS76.87 22675.17 23581.97 19782.75 29262.58 24481.44 28586.35 24872.16 16474.74 23782.89 29446.20 30492.02 21868.85 19481.09 21891.30 154
sss73.60 26073.64 25173.51 31582.80 29155.01 32776.12 32581.69 30662.47 30074.68 23885.85 25257.32 20878.11 34860.86 26080.93 21987.39 272
Effi-MVS+-dtu80.03 15478.57 16684.42 11385.13 24768.74 11988.77 11688.10 21474.99 10674.97 23483.49 28957.27 20993.36 16973.53 14880.88 22091.18 156
EG-PatchMatch MVS74.04 25771.82 26580.71 22784.92 25167.42 14985.86 20988.08 21666.04 25964.22 33283.85 28235.10 35392.56 19857.44 28980.83 22182.16 340
jajsoiax79.29 17277.96 17983.27 15584.68 25466.57 16689.25 9890.16 15569.20 21875.46 21789.49 15145.75 31093.13 18176.84 12180.80 22290.11 195
1112_ss77.40 21776.43 21880.32 23589.11 15660.41 27383.65 25887.72 22562.13 30373.05 25286.72 22562.58 14989.97 26362.11 24980.80 22290.59 178
mvs_tets79.13 17677.77 18783.22 15984.70 25366.37 16889.17 9990.19 15469.38 21275.40 22089.46 15444.17 31593.15 17976.78 12380.70 22490.14 192
PatchMatch-RL72.38 27470.90 27476.80 29088.60 17267.38 15179.53 30176.17 34462.75 29769.36 29282.00 30845.51 31184.89 31753.62 30780.58 22578.12 354
EI-MVSNet80.52 14479.98 13282.12 19284.28 25863.19 23786.41 19388.95 19574.18 12878.69 14487.54 20566.62 10192.43 20272.57 16180.57 22690.74 172
MVSTER79.01 17977.88 18382.38 19083.07 28464.80 20184.08 25488.95 19569.01 22678.69 14487.17 21654.70 22592.43 20274.69 13980.57 22689.89 210
XVG-ACMP-BASELINE76.11 23874.27 24581.62 20283.20 28064.67 20383.60 26189.75 16669.75 20671.85 26587.09 21832.78 35792.11 21569.99 18180.43 22888.09 258
Fast-Effi-MVS+-dtu78.02 20376.49 21682.62 18683.16 28366.96 16186.94 17687.45 23172.45 15771.49 26984.17 27854.79 22491.58 23167.61 20380.31 22989.30 226
LTVRE_ROB69.57 1376.25 23674.54 24181.41 20788.60 17264.38 21179.24 30489.12 18870.76 18869.79 28987.86 19749.09 28593.20 17556.21 29980.16 23086.65 292
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
Test_1112_low_res76.40 23475.44 22879.27 25589.28 14658.09 28881.69 28187.07 23759.53 32272.48 25886.67 23161.30 17289.33 27360.81 26180.15 23190.41 184
test_djsdf80.30 14979.32 14983.27 15583.98 26565.37 19290.50 6790.38 14668.55 23476.19 20388.70 17256.44 21593.46 16678.98 10080.14 23290.97 165
CHOSEN 280x42066.51 31264.71 31371.90 32281.45 31363.52 22757.98 36468.95 36353.57 35062.59 34176.70 34446.22 30375.29 36055.25 30179.68 23376.88 357
MVS_030472.48 27270.89 27577.24 28582.20 30359.68 27784.11 25283.49 28667.10 24566.87 31180.59 31835.00 35487.40 29959.07 27479.58 23484.63 319
baseline275.70 24273.83 25081.30 21183.26 27861.79 25682.57 27480.65 31466.81 24666.88 31083.42 29057.86 20292.19 21363.47 23579.57 23589.91 208
GBi-Net78.40 19177.40 19681.40 20887.60 20563.01 23988.39 13089.28 17771.63 16975.34 22287.28 20954.80 22191.11 24362.72 24079.57 23590.09 197
test178.40 19177.40 19681.40 20887.60 20563.01 23988.39 13089.28 17771.63 16975.34 22287.28 20954.80 22191.11 24362.72 24079.57 23590.09 197
FMVSNet377.88 20776.85 20780.97 22286.84 22462.36 24686.52 19188.77 20071.13 17975.34 22286.66 23254.07 23291.10 24662.72 24079.57 23589.45 222
FMVSNet278.20 19777.21 19981.20 21587.60 20562.89 24387.47 16289.02 19071.63 16975.29 22687.28 20954.80 22191.10 24662.38 24479.38 23989.61 219
anonymousdsp78.60 18877.15 20082.98 17180.51 32667.08 15687.24 16989.53 17165.66 26475.16 22887.19 21552.52 24092.25 21177.17 11879.34 24089.61 219
nrg03083.88 7683.53 7984.96 9386.77 22669.28 10890.46 7192.67 6774.79 11182.95 9391.33 10672.70 4893.09 18380.79 8879.28 24192.50 115
VPA-MVSNet80.60 14180.55 12380.76 22688.07 18860.80 26686.86 17991.58 11675.67 9380.24 12789.45 15663.34 13490.25 26070.51 17579.22 24291.23 155
RRT_MVS80.35 14879.22 15383.74 14287.63 20465.46 18891.08 5688.92 19773.82 13576.44 19790.03 13749.05 28794.25 12876.84 12179.20 24391.51 145
F-COLMAP76.38 23574.33 24482.50 18889.28 14666.95 16288.41 12989.03 18964.05 28366.83 31288.61 17646.78 29992.89 19057.48 28878.55 24487.67 265
FMVSNet177.44 21576.12 22281.40 20886.81 22563.01 23988.39 13089.28 17770.49 19374.39 24087.28 20949.06 28691.11 24360.91 25978.52 24590.09 197
MDTV_nov1_ep1369.97 28283.18 28153.48 33877.10 32380.18 32360.45 31269.33 29380.44 31948.89 29086.90 30251.60 31578.51 246
CVMVSNet72.99 26972.58 25974.25 31184.28 25850.85 35386.41 19383.45 28844.56 35973.23 25087.54 20549.38 28185.70 31065.90 22078.44 24786.19 298
tpm273.26 26571.46 26778.63 26283.34 27656.71 31180.65 29080.40 31956.63 34273.55 24682.02 30751.80 25691.24 24156.35 29878.42 24887.95 259
CostFormer75.24 24973.90 24879.27 25582.65 29658.27 28780.80 28682.73 29861.57 30675.33 22583.13 29255.52 21791.07 24964.98 22878.34 24988.45 253
ACMH67.68 1675.89 24073.93 24781.77 20088.71 16966.61 16588.62 12289.01 19169.81 20366.78 31386.70 23041.95 33191.51 23555.64 30078.14 25087.17 279
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CR-MVSNet73.37 26271.27 27179.67 24981.32 31865.19 19475.92 32780.30 32059.92 31872.73 25581.19 31052.50 24186.69 30359.84 26677.71 25187.11 283
RPMNet73.51 26170.49 27782.58 18781.32 31865.19 19475.92 32792.27 8357.60 33672.73 25576.45 34652.30 24495.43 7448.14 33677.71 25187.11 283
SCA74.22 25572.33 26279.91 24284.05 26462.17 25079.96 29879.29 32866.30 25672.38 26080.13 32251.95 25288.60 28759.25 27177.67 25388.96 239
Anonymous2023121178.97 18177.69 19182.81 17890.54 10664.29 21290.11 7991.51 11865.01 27176.16 20788.13 19550.56 26893.03 18869.68 18577.56 25491.11 158
v114480.03 15479.03 15783.01 16983.78 26864.51 20587.11 17290.57 14271.96 16578.08 16386.20 24661.41 16993.94 14074.93 13877.23 25590.60 177
WR-MVS79.49 16479.22 15380.27 23688.79 16558.35 28585.06 22688.61 20878.56 3277.65 16988.34 18463.81 13190.66 25664.98 22877.22 25691.80 140
v119279.59 16278.43 17083.07 16683.55 27264.52 20486.93 17790.58 14170.83 18477.78 16785.90 24959.15 19493.94 14073.96 14577.19 25790.76 170
VPNet78.69 18678.66 16478.76 26188.31 18255.72 32484.45 24386.63 24376.79 6778.26 15690.55 12659.30 19389.70 26866.63 21477.05 25890.88 167
v124078.99 18077.78 18682.64 18583.21 27963.54 22686.62 18890.30 15269.74 20877.33 17585.68 25457.04 21293.76 15273.13 15676.92 25990.62 175
test_part182.78 9682.08 10084.89 9890.66 10366.97 16090.96 5892.93 5777.19 5580.53 12490.04 13663.44 13295.39 7876.04 12976.90 26092.31 122
MSDG73.36 26470.99 27380.49 23184.51 25665.80 18080.71 28986.13 25165.70 26365.46 32383.74 28644.60 31390.91 25151.13 31776.89 26184.74 317
IterMVS-LS80.06 15379.38 14682.11 19385.89 23463.20 23686.79 18289.34 17574.19 12775.45 21886.72 22566.62 10192.39 20472.58 16076.86 26290.75 171
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v192192079.22 17378.03 17882.80 17983.30 27763.94 21886.80 18190.33 15069.91 20277.48 17285.53 25858.44 19893.75 15373.60 14776.85 26390.71 173
XXY-MVS75.41 24775.56 22674.96 30483.59 27157.82 29680.59 29183.87 28066.54 25474.93 23588.31 18563.24 13780.09 34162.16 24776.85 26386.97 285
v2v48280.23 15079.29 15083.05 16783.62 27064.14 21487.04 17389.97 15973.61 14078.18 16087.22 21361.10 17793.82 14776.11 12776.78 26591.18 156
v14419279.47 16578.37 17182.78 18283.35 27563.96 21786.96 17590.36 14969.99 20077.50 17185.67 25560.66 18493.77 15174.27 14276.58 26690.62 175
UniMVSNet (Re)81.60 11781.11 11383.09 16488.38 18064.41 21087.60 15893.02 4678.42 3478.56 14888.16 19069.78 7593.26 17269.58 18676.49 26791.60 142
UniMVSNet_NR-MVSNet81.88 10881.54 10882.92 17388.46 17763.46 22987.13 17092.37 7980.19 1478.38 15289.14 16171.66 5893.05 18570.05 17976.46 26892.25 125
DU-MVS81.12 12580.52 12482.90 17487.80 19763.46 22987.02 17491.87 10579.01 2878.38 15289.07 16365.02 12093.05 18570.05 17976.46 26892.20 127
cl2278.07 20177.01 20281.23 21382.37 30261.83 25583.55 26287.98 21868.96 22775.06 23283.87 28161.40 17091.88 22473.53 14876.39 27089.98 206
miper_ehance_all_eth78.59 18977.76 18881.08 21982.66 29561.56 25883.65 25889.15 18568.87 22975.55 21483.79 28566.49 10392.03 21773.25 15476.39 27089.64 218
miper_enhance_ethall77.87 20876.86 20680.92 22381.65 30961.38 26082.68 27288.98 19265.52 26675.47 21582.30 30265.76 11592.00 21972.95 15776.39 27089.39 223
PatchmatchNetpermissive73.12 26771.33 27078.49 26783.18 28160.85 26579.63 30078.57 33064.13 28071.73 26679.81 32751.20 26185.97 30957.40 29076.36 27388.66 249
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
USDC70.33 28868.37 28976.21 29380.60 32456.23 31979.19 30686.49 24460.89 31061.29 34385.47 26031.78 36089.47 27253.37 30876.21 27482.94 337
OpenMVS_ROBcopyleft64.09 1970.56 28668.19 29177.65 27880.26 32759.41 28185.01 22782.96 29658.76 32865.43 32482.33 30137.63 34791.23 24245.34 34976.03 27582.32 338
ACMH+68.96 1476.01 23974.01 24682.03 19588.60 17265.31 19388.86 11187.55 22770.25 19767.75 30187.47 20741.27 33293.19 17758.37 28175.94 27687.60 267
tpm72.37 27571.71 26674.35 31082.19 30452.00 34579.22 30577.29 33964.56 27572.95 25383.68 28851.35 25983.26 32958.33 28275.80 27787.81 263
Anonymous2023120668.60 30067.80 29971.02 32980.23 32850.75 35478.30 31580.47 31756.79 34166.11 32182.63 29946.35 30278.95 34443.62 35275.70 27883.36 330
v7n78.97 18177.58 19483.14 16283.45 27465.51 18588.32 13491.21 12773.69 13872.41 25986.32 24457.93 20093.81 14869.18 18975.65 27990.11 195
NR-MVSNet80.23 15079.38 14682.78 18287.80 19763.34 23286.31 19691.09 13279.01 2872.17 26289.07 16367.20 9892.81 19466.08 21975.65 27992.20 127
v1079.74 15978.67 16382.97 17284.06 26364.95 19887.88 15390.62 14073.11 15175.11 23086.56 23761.46 16894.05 13673.68 14675.55 28189.90 209
IB-MVS68.01 1575.85 24173.36 25383.31 15384.76 25266.03 17283.38 26485.06 26170.21 19869.40 29181.05 31245.76 30994.66 11265.10 22775.49 28289.25 227
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
h-mvs3383.15 8982.19 9786.02 7390.56 10570.85 7888.15 14389.16 18476.02 8684.67 6591.39 10561.54 16595.50 6982.71 6975.48 28391.72 141
c3_l78.75 18477.91 18181.26 21282.89 29061.56 25884.09 25389.13 18769.97 20175.56 21384.29 27766.36 10592.09 21673.47 15175.48 28390.12 194
V4279.38 17178.24 17582.83 17681.10 32065.50 18685.55 21789.82 16371.57 17478.21 15886.12 24760.66 18493.18 17875.64 13275.46 28589.81 214
cl____77.72 21076.76 21080.58 22982.49 29960.48 27183.09 26887.87 22169.22 21674.38 24185.22 26562.10 15891.53 23371.09 16975.41 28689.73 217
DIV-MVS_self_test77.72 21076.76 21080.58 22982.48 30060.48 27183.09 26887.86 22269.22 21674.38 24185.24 26462.10 15891.53 23371.09 16975.40 28789.74 216
v879.97 15779.02 15882.80 17984.09 26264.50 20787.96 14790.29 15374.13 13075.24 22786.81 22262.88 14593.89 14674.39 14175.40 28790.00 203
Baseline_NR-MVSNet78.15 19978.33 17377.61 27985.79 23556.21 32086.78 18385.76 25573.60 14177.93 16587.57 20365.02 12088.99 27967.14 21175.33 28987.63 266
pmmvs571.55 27870.20 28175.61 29777.83 34556.39 31681.74 28080.89 31057.76 33467.46 30484.49 27449.26 28485.32 31457.08 29375.29 29085.11 314
EPMVS69.02 29768.16 29271.59 32379.61 33749.80 35877.40 32166.93 36562.82 29670.01 28279.05 32945.79 30877.86 35056.58 29675.26 29187.13 282
TranMVSNet+NR-MVSNet80.84 12980.31 12882.42 18987.85 19462.33 24787.74 15691.33 12480.55 1177.99 16489.86 14065.23 11892.62 19567.05 21275.24 29292.30 123
tfpnnormal74.39 25273.16 25578.08 27186.10 23358.05 28984.65 23787.53 22870.32 19571.22 27185.63 25654.97 22089.86 26443.03 35375.02 29386.32 295
COLMAP_ROBcopyleft66.92 1773.01 26870.41 27980.81 22587.13 22065.63 18388.30 13584.19 27662.96 29363.80 33687.69 20038.04 34592.56 19846.66 34174.91 29484.24 322
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PatchT68.46 30367.85 29770.29 33180.70 32343.93 36672.47 34074.88 34760.15 31670.55 27376.57 34549.94 27581.59 33450.58 31874.83 29585.34 309
pmmvs474.03 25871.91 26480.39 23281.96 30668.32 13081.45 28482.14 30159.32 32369.87 28785.13 26752.40 24388.13 29360.21 26474.74 29684.73 318
ITE_SJBPF78.22 26981.77 30860.57 26983.30 28969.25 21567.54 30387.20 21436.33 35087.28 30154.34 30474.62 29786.80 288
test0.0.03 168.00 30467.69 30168.90 33677.55 34647.43 36075.70 33072.95 35466.66 25066.56 31482.29 30348.06 29275.87 35744.97 35074.51 29883.41 329
test_040272.79 27170.44 27879.84 24488.13 18565.99 17485.93 20684.29 27365.57 26567.40 30685.49 25946.92 29892.61 19635.88 36274.38 29980.94 346
CP-MVSNet78.22 19578.34 17277.84 27487.83 19654.54 33087.94 14991.17 12977.65 4073.48 24788.49 18062.24 15688.43 28962.19 24674.07 30090.55 179
FMVSNet569.50 29467.96 29574.15 31282.97 28955.35 32680.01 29782.12 30262.56 29963.02 33781.53 30936.92 34881.92 33348.42 33174.06 30185.17 313
MVS-HIRNet59.14 32657.67 32963.57 34481.65 30943.50 36771.73 34265.06 36839.59 36451.43 36257.73 36438.34 34382.58 33239.53 35973.95 30264.62 363
tpmrst72.39 27372.13 26373.18 31980.54 32549.91 35679.91 29979.08 32963.11 29071.69 26779.95 32455.32 21882.77 33165.66 22373.89 30386.87 286
PS-CasMVS78.01 20478.09 17777.77 27687.71 20154.39 33288.02 14591.22 12677.50 4873.26 24988.64 17560.73 18188.41 29061.88 25073.88 30490.53 180
v14878.72 18577.80 18581.47 20682.73 29361.96 25386.30 19788.08 21673.26 14976.18 20485.47 26062.46 15192.36 20671.92 16473.82 30590.09 197
Patchmatch-test64.82 32063.24 32069.57 33379.42 34049.82 35763.49 36269.05 36251.98 35559.95 34880.13 32250.91 26370.98 36640.66 35873.57 30687.90 261
WR-MVS_H78.51 19078.49 16778.56 26488.02 19056.38 31788.43 12692.67 6777.14 5773.89 24487.55 20466.25 10789.24 27558.92 27573.55 30790.06 201
AUN-MVS79.21 17477.60 19384.05 12988.71 16967.61 14585.84 21087.26 23469.08 22277.23 17988.14 19453.20 23993.47 16575.50 13673.45 30891.06 160
hse-mvs281.72 11180.94 11784.07 12688.72 16867.68 14485.87 20887.26 23476.02 8684.67 6588.22 18961.54 16593.48 16482.71 6973.44 30991.06 160
testgi66.67 31166.53 30967.08 34275.62 35441.69 36975.93 32676.50 34366.11 25765.20 32886.59 23435.72 35274.71 36143.71 35173.38 31084.84 316
Anonymous2024052168.80 29967.22 30573.55 31474.33 35854.11 33383.18 26685.61 25658.15 33161.68 34280.94 31530.71 36181.27 33757.00 29473.34 31185.28 310
pm-mvs177.25 22176.68 21478.93 25984.22 26058.62 28486.41 19388.36 21171.37 17773.31 24888.01 19661.22 17589.15 27764.24 23273.01 31289.03 234
eth_miper_zixun_eth77.92 20676.69 21381.61 20483.00 28761.98 25283.15 26789.20 18369.52 21074.86 23684.35 27661.76 16192.56 19871.50 16772.89 31390.28 188
miper_lstm_enhance74.11 25673.11 25677.13 28780.11 32959.62 27872.23 34186.92 24066.76 24870.40 27682.92 29356.93 21382.92 33069.06 19172.63 31488.87 242
tpmvs71.09 28169.29 28476.49 29182.04 30556.04 32178.92 30981.37 30964.05 28367.18 30878.28 33649.74 27889.77 26549.67 32772.37 31583.67 327
PEN-MVS77.73 20977.69 19177.84 27487.07 22153.91 33587.91 15191.18 12877.56 4573.14 25188.82 17161.23 17489.17 27659.95 26572.37 31590.43 183
DSMNet-mixed57.77 32856.90 33060.38 34667.70 36935.61 37269.18 35153.97 37432.30 36957.49 35479.88 32540.39 33768.57 36838.78 36072.37 31576.97 356
IterMVS-SCA-FT75.43 24673.87 24980.11 23982.69 29464.85 20081.57 28383.47 28769.16 22070.49 27584.15 27951.95 25288.15 29269.23 18872.14 31887.34 274
tpm cat170.57 28568.31 29077.35 28382.41 30157.95 29378.08 31680.22 32252.04 35468.54 29877.66 34152.00 25187.84 29651.77 31372.07 31986.25 296
RPSCF73.23 26671.46 26778.54 26582.50 29859.85 27682.18 27682.84 29758.96 32671.15 27289.41 15845.48 31284.77 31858.82 27771.83 32091.02 164
IterMVS74.29 25372.94 25778.35 26881.53 31263.49 22881.58 28282.49 29968.06 23969.99 28483.69 28751.66 25885.54 31165.85 22171.64 32186.01 303
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
AllTest70.96 28268.09 29479.58 25185.15 24563.62 22284.58 23979.83 32462.31 30160.32 34686.73 22332.02 35888.96 28250.28 32271.57 32286.15 299
TestCases79.58 25185.15 24563.62 22279.83 32462.31 30160.32 34686.73 22332.02 35888.96 28250.28 32271.57 32286.15 299
baseline176.98 22476.75 21277.66 27788.13 18555.66 32585.12 22581.89 30373.04 15376.79 18788.90 16862.43 15287.78 29763.30 23871.18 32489.55 221
Patchmtry70.74 28369.16 28575.49 30080.72 32254.07 33474.94 33680.30 32058.34 33070.01 28281.19 31052.50 24186.54 30453.37 30871.09 32585.87 306
DTE-MVSNet76.99 22376.80 20877.54 28186.24 23153.06 34387.52 16090.66 13977.08 6072.50 25788.67 17460.48 18789.52 27057.33 29170.74 32690.05 202
MIMVSNet168.58 30166.78 30873.98 31380.07 33051.82 34680.77 28784.37 27064.40 27759.75 34982.16 30536.47 34983.63 32542.73 35470.33 32786.48 294
pmmvs674.69 25173.39 25278.61 26381.38 31557.48 30186.64 18787.95 21964.99 27270.18 27986.61 23350.43 27089.52 27062.12 24870.18 32888.83 244
TinyColmap67.30 30864.81 31274.76 30781.92 30756.68 31280.29 29581.49 30860.33 31356.27 35883.22 29124.77 36487.66 29845.52 34769.47 32979.95 350
OurMVSNet-221017-074.26 25472.42 26179.80 24583.76 26959.59 27985.92 20786.64 24266.39 25566.96 30987.58 20239.46 33891.60 23065.76 22269.27 33088.22 256
JIA-IIPM66.32 31462.82 32476.82 28977.09 34961.72 25765.34 35975.38 34558.04 33364.51 33062.32 36142.05 33086.51 30551.45 31669.22 33182.21 339
ADS-MVSNet266.20 31763.33 31974.82 30679.92 33158.75 28367.55 35675.19 34653.37 35165.25 32675.86 34742.32 32580.53 34041.57 35668.91 33285.18 311
ADS-MVSNet64.36 32162.88 32368.78 33879.92 33147.17 36167.55 35671.18 35553.37 35165.25 32675.86 34742.32 32573.99 36441.57 35668.91 33285.18 311
test20.0367.45 30666.95 30768.94 33575.48 35544.84 36577.50 32077.67 33466.66 25063.01 33883.80 28447.02 29778.40 34642.53 35568.86 33483.58 328
EU-MVSNet68.53 30267.61 30271.31 32878.51 34447.01 36284.47 24084.27 27442.27 36066.44 31984.79 27240.44 33683.76 32358.76 27868.54 33583.17 331
our_test_369.14 29667.00 30675.57 29879.80 33458.80 28277.96 31777.81 33359.55 32162.90 34078.25 33747.43 29483.97 32251.71 31467.58 33683.93 326
ppachtmachnet_test70.04 29167.34 30478.14 27079.80 33461.13 26179.19 30680.59 31559.16 32565.27 32579.29 32846.75 30087.29 30049.33 32866.72 33786.00 305
LF4IMVS64.02 32262.19 32569.50 33470.90 36753.29 34276.13 32477.18 34052.65 35358.59 35080.98 31423.55 36676.52 35453.06 31066.66 33878.68 353
Patchmatch-RL test70.24 28967.78 30077.61 27977.43 34759.57 28071.16 34370.33 35662.94 29468.65 29672.77 35450.62 26785.49 31269.58 18666.58 33987.77 264
dp66.80 30965.43 31170.90 33079.74 33648.82 35975.12 33474.77 34859.61 32064.08 33377.23 34242.89 32180.72 33948.86 33066.58 33983.16 332
CL-MVSNet_self_test72.37 27571.46 26775.09 30379.49 33953.53 33780.76 28885.01 26369.12 22170.51 27482.05 30657.92 20184.13 32152.27 31266.00 34187.60 267
FPMVS53.68 33051.64 33359.81 34765.08 37051.03 35269.48 35069.58 36041.46 36140.67 36572.32 35516.46 37270.00 36724.24 36965.42 34258.40 366
pmmvs-eth3d70.50 28767.83 29878.52 26677.37 34866.18 17181.82 27881.51 30758.90 32763.90 33580.42 32042.69 32386.28 30758.56 27965.30 34383.11 333
N_pmnet52.79 33153.26 33251.40 35178.99 3437.68 38269.52 3493.89 38251.63 35657.01 35574.98 35140.83 33565.96 36937.78 36164.67 34480.56 349
PM-MVS66.41 31364.14 31573.20 31873.92 36056.45 31478.97 30864.96 36963.88 28764.72 32980.24 32119.84 36983.44 32766.24 21564.52 34579.71 351
KD-MVS_self_test68.81 29867.59 30372.46 32174.29 35945.45 36377.93 31887.00 23863.12 28963.99 33478.99 33342.32 32584.77 31856.55 29764.09 34687.16 281
SixPastTwentyTwo73.37 26271.26 27279.70 24785.08 24957.89 29485.57 21383.56 28471.03 18265.66 32285.88 25042.10 32992.57 19759.11 27363.34 34788.65 250
EGC-MVSNET52.07 33247.05 33667.14 34183.51 27360.71 26780.50 29267.75 3640.07 3770.43 37875.85 34924.26 36581.54 33528.82 36562.25 34859.16 365
TransMVSNet (Re)75.39 24874.56 24077.86 27385.50 24157.10 30586.78 18386.09 25272.17 16371.53 26887.34 20863.01 14489.31 27456.84 29561.83 34987.17 279
MDA-MVSNet_test_wron65.03 31862.92 32171.37 32575.93 35156.73 30969.09 35474.73 34957.28 33954.03 36077.89 33845.88 30674.39 36349.89 32661.55 35082.99 336
YYNet165.03 31862.91 32271.38 32475.85 35256.60 31369.12 35374.66 35157.28 33954.12 35977.87 33945.85 30774.48 36249.95 32561.52 35183.05 334
ambc75.24 30273.16 36450.51 35563.05 36387.47 23064.28 33177.81 34017.80 37089.73 26757.88 28660.64 35285.49 307
TDRefinement67.49 30564.34 31476.92 28873.47 36361.07 26284.86 23182.98 29559.77 31958.30 35285.13 26726.06 36387.89 29547.92 33860.59 35381.81 342
Gipumacopyleft45.18 33541.86 33855.16 34977.03 35051.52 34932.50 37080.52 31632.46 36827.12 36935.02 3709.52 37775.50 35822.31 37060.21 35438.45 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new-patchmatchnet61.73 32461.73 32661.70 34572.74 36624.50 37969.16 35278.03 33261.40 30756.72 35675.53 35038.42 34276.48 35545.95 34657.67 35584.13 324
MDA-MVSNet-bldmvs66.68 31063.66 31875.75 29579.28 34160.56 27073.92 33878.35 33164.43 27650.13 36379.87 32644.02 31683.67 32446.10 34556.86 35683.03 335
new_pmnet50.91 33350.29 33452.78 35068.58 36834.94 37463.71 36156.63 37339.73 36344.95 36465.47 35921.93 36758.48 37034.98 36356.62 35764.92 362
PMVScopyleft37.38 2244.16 33640.28 33955.82 34840.82 37942.54 36865.12 36063.99 37034.43 36724.48 37057.12 3663.92 38076.17 35617.10 37255.52 35848.75 367
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
pmmvs357.79 32754.26 33168.37 33964.02 37156.72 31075.12 33465.17 36740.20 36252.93 36169.86 35820.36 36875.48 35945.45 34855.25 35972.90 359
UnsupCasMVSNet_eth67.33 30765.99 31071.37 32573.48 36251.47 35075.16 33285.19 26065.20 26760.78 34580.93 31742.35 32477.20 35257.12 29253.69 36085.44 308
K. test v371.19 28068.51 28879.21 25783.04 28657.78 29784.35 24776.91 34272.90 15662.99 33982.86 29539.27 33991.09 24861.65 25352.66 36188.75 247
UnsupCasMVSNet_bld63.70 32361.53 32770.21 33273.69 36151.39 35172.82 33981.89 30355.63 34657.81 35371.80 35638.67 34178.61 34549.26 32952.21 36280.63 347
LCM-MVSNet54.25 32949.68 33567.97 34053.73 37445.28 36466.85 35880.78 31235.96 36639.45 36662.23 3628.70 37878.06 34948.24 33551.20 36380.57 348
KD-MVS_2432*160066.22 31563.89 31673.21 31675.47 35653.42 33970.76 34684.35 27164.10 28166.52 31678.52 33434.55 35584.98 31550.40 32050.33 36481.23 344
miper_refine_blended66.22 31563.89 31673.21 31675.47 35653.42 33970.76 34684.35 27164.10 28166.52 31678.52 33434.55 35584.98 31550.40 32050.33 36481.23 344
lessismore_v078.97 25881.01 32157.15 30465.99 36661.16 34482.82 29639.12 34091.34 23959.67 26746.92 36688.43 254
PVSNet_057.27 2061.67 32559.27 32868.85 33779.61 33757.44 30268.01 35573.44 35355.93 34558.54 35170.41 35744.58 31477.55 35147.01 34035.91 36771.55 360
test_method31.52 33929.28 34338.23 35427.03 3816.50 38320.94 37262.21 3724.05 37522.35 37352.50 36713.33 37347.58 37427.04 36834.04 36860.62 364
PMMVS240.82 33738.86 34046.69 35253.84 37316.45 38048.61 36749.92 37537.49 36531.67 36760.97 3638.14 37956.42 37128.42 36630.72 36967.19 361
DeepMVS_CXcopyleft27.40 35740.17 38026.90 37724.59 38117.44 37323.95 37148.61 3689.77 37626.48 37618.06 37124.47 37028.83 370
MVEpermissive26.22 2330.37 34125.89 34543.81 35344.55 37835.46 37328.87 37139.07 37818.20 37218.58 37440.18 3692.68 38147.37 37517.07 37323.78 37148.60 368
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN31.77 33830.64 34135.15 35552.87 37527.67 37657.09 36547.86 37624.64 37016.40 37533.05 37111.23 37554.90 37214.46 37418.15 37222.87 371
EMVS30.81 34029.65 34234.27 35650.96 37625.95 37856.58 36646.80 37724.01 37115.53 37630.68 37212.47 37454.43 37312.81 37517.05 37322.43 372
ANet_high50.57 33446.10 33763.99 34348.67 37739.13 37070.99 34580.85 31161.39 30831.18 36857.70 36517.02 37173.65 36531.22 36415.89 37479.18 352
tmp_tt18.61 34321.40 34610.23 3594.82 38210.11 38134.70 36930.74 3801.48 37623.91 37226.07 37328.42 36213.41 37827.12 36715.35 3757.17 373
wuyk23d16.82 34415.94 34719.46 35858.74 37231.45 37539.22 3683.74 3836.84 3746.04 3772.70 3771.27 38224.29 37710.54 37614.40 3762.63 374
testmvs6.04 3478.02 3500.10 3610.08 3830.03 38569.74 3480.04 3840.05 3780.31 3791.68 3780.02 3840.04 3790.24 3770.02 3770.25 376
test1236.12 3468.11 3490.14 3600.06 3840.09 38471.05 3440.03 3850.04 3790.25 3801.30 3790.05 3830.03 3800.21 3780.01 3780.29 375
test_blank0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
uanet_test0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
DCPMVS0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
cdsmvs_eth3d_5k19.96 34226.61 3440.00 3620.00 3850.00 3860.00 37389.26 1800.00 3800.00 38188.61 17661.62 1640.00 3810.00 3790.00 3790.00 377
pcd_1.5k_mvsjas5.26 3487.02 3510.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 38063.15 1400.00 3810.00 3790.00 3790.00 377
sosnet-low-res0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
sosnet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
uncertanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
Regformer0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
ab-mvs-re7.23 3459.64 3480.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 38186.72 2250.00 3850.00 3810.00 3790.00 3790.00 377
uanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3790.00 377
FOURS195.00 1072.39 4295.06 193.84 1874.49 11991.30 15
test_one_060195.07 771.46 6194.14 778.27 3792.05 1195.74 680.83 11
eth-test20.00 385
eth-test0.00 385
test_241102_ONE95.30 270.98 7094.06 1277.17 5693.10 195.39 1182.99 197.27 10
save fliter93.80 4472.35 4590.47 6991.17 12974.31 123
test072695.27 571.25 6393.60 694.11 877.33 5092.81 395.79 380.98 9
GSMVS88.96 239
test_part295.06 872.65 3391.80 13
sam_mvs151.32 26088.96 239
sam_mvs50.01 273
MTGPAbinary92.02 94
test_post178.90 3105.43 37648.81 29185.44 31359.25 271
test_post5.46 37550.36 27184.24 320
patchmatchnet-post74.00 35251.12 26288.60 287
MTMP92.18 3532.83 379
gm-plane-assit81.40 31453.83 33662.72 29880.94 31592.39 20463.40 237
TEST993.26 5672.96 2688.75 11791.89 10368.44 23685.00 5693.10 6574.36 3595.41 76
test_893.13 5872.57 3688.68 12191.84 10768.69 23284.87 6293.10 6574.43 3295.16 87
agg_prior92.85 6671.94 5491.78 11084.41 7294.93 98
test_prior472.60 3589.01 106
test_prior86.33 6392.61 7469.59 10092.97 5495.48 7093.91 55
旧先验286.56 19058.10 33287.04 3588.98 28074.07 144
新几何286.29 198
无先验87.48 16188.98 19260.00 31794.12 13367.28 20788.97 238
原ACMM286.86 179
testdata291.01 25062.37 245
segment_acmp73.08 45
testdata184.14 25175.71 90
plane_prior790.08 11568.51 128
plane_prior689.84 12468.70 12360.42 188
plane_prior491.00 118
plane_prior368.60 12678.44 3378.92 141
plane_prior291.25 5279.12 25
plane_prior189.90 123
n20.00 386
nn0.00 386
door-mid69.98 358
test1192.23 86
door69.44 361
HQP5-MVS66.98 158
HQP-NCC89.33 13989.17 9976.41 7577.23 179
ACMP_Plane89.33 13989.17 9976.41 7577.23 179
BP-MVS77.47 114
HQP4-MVS77.24 17895.11 9091.03 162
HQP2-MVS60.17 191
NP-MVS89.62 12668.32 13090.24 130
MDTV_nov1_ep13_2view37.79 37175.16 33255.10 34766.53 31549.34 28253.98 30587.94 260
Test By Simon64.33 125