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 bysort bysorted by
3Dnovator+77.84 485.48 4784.47 5588.51 391.08 6873.49 1493.18 493.78 880.79 1176.66 15893.37 3860.40 16796.75 1477.20 8593.73 4995.29 1
TSAR-MVS + MP.88.02 1288.11 1087.72 2593.68 3072.13 4291.41 3092.35 5674.62 9588.90 993.85 3175.75 996.00 3787.80 694.63 3495.04 2
IS-MVSNet83.15 7182.81 7084.18 9789.94 9063.30 21491.59 2788.46 19679.04 2579.49 10192.16 5665.10 9094.28 9267.71 17391.86 6094.95 3
SteuartSystems-ACMMP88.72 788.86 788.32 592.14 5772.96 2293.73 393.67 980.19 1588.10 1294.80 773.76 2297.11 587.51 995.82 1094.90 4
Skip Steuart: Steuart Systems R&D Blog.
SMA-MVS89.08 489.23 488.61 294.25 1973.73 792.40 1493.63 1074.77 9392.29 195.97 274.28 1897.24 388.58 496.91 194.87 5
canonicalmvs85.91 4285.87 4086.04 5889.84 9269.44 8390.45 4793.00 3076.70 5788.01 1491.23 7773.28 2493.91 11281.50 5288.80 9294.77 6
alignmvs85.48 4785.32 4785.96 6089.51 10469.47 8189.74 6292.47 4976.17 6887.73 1691.46 7470.32 4793.78 12181.51 5188.95 8894.63 7
MP-MVS-pluss87.67 1487.72 1387.54 2993.64 3172.04 4389.80 6093.50 1375.17 8786.34 2095.29 470.86 4196.00 3788.78 396.04 594.58 8
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DeepPCF-MVS80.84 188.10 888.56 886.73 4392.24 5569.03 8589.57 6893.39 1877.53 3989.79 894.12 2578.98 296.58 2385.66 1495.72 1194.58 8
VDD-MVS83.01 7582.36 7684.96 7591.02 7066.40 13688.91 8488.11 19977.57 3584.39 4793.29 4052.19 22593.91 11277.05 8888.70 9494.57 10
casdiffmvs184.76 5784.33 5686.04 5889.40 10768.78 9289.67 6592.54 4866.43 23885.41 2690.75 9172.88 2894.76 8181.64 5090.24 7794.57 10
VDDNet81.52 9580.67 9784.05 10290.44 7964.13 19389.73 6385.91 23171.11 16583.18 6093.48 3550.54 26193.49 13973.40 12588.25 10394.54 12
APDe-MVS89.15 389.63 387.73 2394.49 1171.69 4693.83 293.96 575.70 7491.06 696.03 176.84 497.03 789.09 295.65 1594.47 13
MCST-MVS87.37 2187.25 1987.73 2394.53 1072.46 3689.82 5893.82 773.07 13184.86 3992.89 4976.22 696.33 2684.89 2195.13 2494.40 14
CANet86.45 3386.10 3787.51 3090.09 8670.94 5489.70 6492.59 4781.78 481.32 8491.43 7570.34 4697.23 484.26 2993.36 5094.37 15
PHI-MVS86.43 3486.17 3687.24 3390.88 7370.96 5292.27 1994.07 472.45 14385.22 3091.90 6269.47 5696.42 2583.28 3795.94 794.35 16
CNVR-MVS88.93 689.13 688.33 494.77 573.82 690.51 4393.00 3080.90 1088.06 1394.06 2776.43 596.84 988.48 595.99 694.34 17
MVS_030486.37 3885.81 4288.02 990.13 8472.39 3789.66 6692.75 4281.64 682.66 7192.04 5864.44 9497.35 284.76 2394.25 4594.33 18
HPM-MVScopyleft87.11 2586.98 2487.50 3193.88 2772.16 4192.19 2093.33 1976.07 7083.81 5493.95 3069.77 5396.01 3685.15 1694.66 3394.32 19
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CDPH-MVS85.76 4485.29 4987.17 3593.49 3471.08 5088.58 9892.42 5368.32 22084.61 4293.48 3572.32 3396.15 3379.00 6795.43 1794.28 20
DeepC-MVS_fast79.65 386.91 2886.62 2987.76 2293.52 3372.37 3991.26 3193.04 2676.62 5884.22 4993.36 3971.44 3896.76 1380.82 5795.33 2194.16 21
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
EPP-MVSNet83.40 6983.02 6784.57 8390.13 8464.47 18692.32 1890.73 11074.45 9779.35 10391.10 8169.05 6095.12 6172.78 13087.22 11494.13 22
NCCC88.06 988.01 1288.24 694.41 1573.62 891.22 3492.83 3981.50 785.79 2593.47 3773.02 2797.00 884.90 1994.94 2794.10 23
ACMMP_NAP88.05 1188.08 1187.94 1393.70 2873.05 1990.86 3793.59 1176.27 6788.14 1195.09 671.06 4096.67 1687.67 796.37 394.09 24
XVS87.18 2486.91 2688.00 1194.42 1373.33 1792.78 992.99 3279.14 2183.67 5694.17 2267.45 7096.60 2183.06 3994.50 3794.07 25
X-MVStestdata80.37 12777.83 16288.00 1194.42 1373.33 1792.78 992.99 3279.14 2183.67 5612.47 36667.45 7096.60 2183.06 3994.50 3794.07 25
region2R87.42 1987.20 2188.09 794.63 773.55 1093.03 793.12 2576.73 5684.45 4494.52 1069.09 5996.70 1584.37 2894.83 3194.03 27
Regformer-485.68 4685.45 4486.35 4988.95 12769.67 7588.29 11091.29 9881.73 585.36 2890.01 10572.62 3195.35 5783.28 3787.57 10794.03 27
Regformer-286.63 3286.53 3086.95 3989.33 11071.24 4988.43 10092.05 6582.50 186.88 1890.09 10274.45 1395.61 4384.38 2790.63 7294.01 29
ACMMPR87.44 1787.23 2088.08 894.64 673.59 993.04 593.20 2276.78 5384.66 4194.52 1068.81 6196.65 1784.53 2594.90 2894.00 30
Regformer-186.41 3686.33 3186.64 4589.33 11070.93 5588.43 10091.39 9682.14 386.65 1990.09 10274.39 1695.01 6883.97 3390.63 7293.97 31
ESAPD89.48 189.98 188.01 1094.80 472.69 2991.59 2794.10 175.90 7192.29 195.66 381.67 197.38 187.44 1196.34 493.95 32
test_prior386.73 2986.86 2886.33 5092.61 5169.59 7788.85 8792.97 3575.41 8084.91 3493.54 3374.28 1895.48 4783.31 3595.86 893.91 33
test_prior86.33 5092.61 5169.59 7792.97 3595.48 4793.91 33
GST-MVS87.42 1987.26 1887.89 2094.12 2572.97 2192.39 1593.43 1676.89 5084.68 4093.99 2970.67 4596.82 1084.18 3295.01 2593.90 35
Regformer-385.23 5285.07 5085.70 6288.95 12769.01 8788.29 11089.91 14680.95 985.01 3190.01 10572.45 3294.19 9982.50 4687.57 10793.90 35
Anonymous20240521178.25 17177.01 17881.99 17891.03 6960.67 24384.77 22283.90 24970.65 17480.00 9791.20 7941.08 32091.43 21765.21 19685.26 13893.85 37
LFMVS81.82 9081.23 8983.57 11891.89 6163.43 21289.84 5781.85 28277.04 4783.21 5993.10 4352.26 22493.43 14471.98 14289.95 8193.85 37
Effi-MVS+83.62 6583.08 6585.24 6888.38 14967.45 12088.89 8589.15 16875.50 7982.27 7288.28 14969.61 5594.45 8977.81 7987.84 10593.84 39
Anonymous2024052980.19 13278.89 13984.10 9990.60 7664.75 17388.95 8390.90 10765.97 24580.59 9491.17 8049.97 26693.73 13069.16 16682.70 17693.81 40
MVS_Test83.15 7183.06 6683.41 12386.86 19463.21 21786.11 18692.00 6974.31 9882.87 6489.44 12370.03 4993.21 14977.39 8488.50 10193.81 40
casdiffmvs83.96 5983.25 6386.07 5688.48 14469.60 7689.26 7392.40 5468.07 22282.82 6690.03 10469.77 5394.86 7781.79 4986.64 12493.75 42
diffmvs182.63 7882.51 7282.96 14983.87 24963.47 20985.19 21289.42 15875.58 7781.38 8389.89 10767.42 7291.69 20781.01 5488.88 9093.71 43
HFP-MVS87.58 1587.47 1687.94 1394.58 873.54 1293.04 593.24 2076.78 5384.91 3494.44 1570.78 4296.61 1984.53 2594.89 2993.66 44
#test#87.33 2287.13 2287.94 1394.58 873.54 1292.34 1793.24 2075.23 8484.91 3494.44 1570.78 4296.61 1983.75 3494.89 2993.66 44
VNet82.21 8382.41 7481.62 19290.82 7460.93 23984.47 23089.78 14876.36 6584.07 5191.88 6364.71 9390.26 24070.68 15088.89 8993.66 44
PGM-MVS86.68 3086.27 3387.90 1794.22 2173.38 1690.22 5293.04 2675.53 7883.86 5294.42 1767.87 6796.64 1882.70 4494.57 3693.66 44
DELS-MVS85.41 5085.30 4885.77 6188.49 14367.93 11485.52 21093.44 1578.70 2883.63 5889.03 13074.57 1295.71 4280.26 6294.04 4793.66 44
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
SD-MVS88.06 988.50 986.71 4492.60 5372.71 2791.81 2693.19 2377.87 3290.32 794.00 2874.83 1193.78 12187.63 894.27 4493.65 49
DeepC-MVS79.81 287.08 2786.88 2787.69 2791.16 6772.32 4090.31 4993.94 677.12 4482.82 6694.23 2172.13 3597.09 684.83 2295.37 1893.65 49
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 1387.64 1487.93 1694.36 1773.88 492.71 1392.65 4677.57 3583.84 5394.40 1872.24 3496.28 2885.65 1595.30 2393.62 51
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
HPM-MVS_fast85.35 5184.95 5286.57 4893.69 2970.58 6192.15 2291.62 8673.89 10782.67 7094.09 2662.60 12795.54 4680.93 5592.93 5293.57 52
CSCG86.41 3686.19 3587.07 3892.91 4572.48 3590.81 3893.56 1273.95 10383.16 6191.07 8375.94 795.19 5979.94 6494.38 4193.55 53
test1286.80 4292.63 5070.70 6091.79 8082.71 6971.67 3696.16 3294.50 3793.54 54
APD-MVS_3200maxsize85.97 4185.88 3986.22 5392.69 4969.53 7991.93 2492.99 3273.54 11885.94 2194.51 1365.80 8595.61 4383.04 4192.51 5793.53 55
mvs_anonymous79.42 15079.11 13580.34 21484.45 22657.97 26682.59 26187.62 20967.40 23176.17 17488.56 14268.47 6289.59 25070.65 15186.05 13393.47 56
mPP-MVS86.67 3186.32 3287.72 2594.41 1573.55 1092.74 1192.22 5976.87 5182.81 6894.25 2066.44 7896.24 2982.88 4394.28 4393.38 57
EPNet83.72 6382.92 6986.14 5584.22 23069.48 8091.05 3685.27 23581.30 876.83 15491.65 6666.09 8195.56 4576.00 9793.85 4893.38 57
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Vis-MVSNetpermissive83.46 6782.80 7185.43 6490.25 8268.74 9690.30 5090.13 13576.33 6680.87 9292.89 4961.00 15694.20 9872.45 13690.97 6893.35 59
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
HSP-MVS89.28 289.76 287.85 2194.28 1873.46 1592.90 892.73 4380.27 1391.35 594.16 2378.35 396.77 1289.59 194.22 4693.33 60
EI-MVSNet-Vis-set84.19 5883.81 5885.31 6588.18 15367.85 11587.66 12589.73 15080.05 1782.95 6289.59 11570.74 4494.82 7880.66 5984.72 14393.28 61
zzz-MVS87.53 1687.41 1787.90 1794.18 2374.25 290.23 5192.02 6679.45 1985.88 2294.80 768.07 6396.21 3086.69 1295.34 1993.23 62
MTAPA87.23 2387.00 2387.90 1794.18 2374.25 286.58 17192.02 6679.45 1985.88 2294.80 768.07 6396.21 3086.69 1295.34 1993.23 62
CP-MVS87.11 2586.92 2587.68 2894.20 2273.86 593.98 192.82 4176.62 5883.68 5594.46 1467.93 6595.95 3984.20 3194.39 4093.23 62
ACMMPcopyleft85.89 4385.39 4587.38 3293.59 3272.63 3192.74 1193.18 2476.78 5380.73 9393.82 3264.33 9596.29 2782.67 4590.69 7193.23 62
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
PAPM_NR83.02 7482.41 7484.82 8092.47 5466.37 13787.93 12191.80 7973.82 11277.32 14690.66 9367.90 6694.90 7370.37 15389.48 8593.19 66
OMC-MVS82.69 7781.97 8384.85 7988.75 13767.42 12187.98 11790.87 10874.92 9179.72 9991.65 6662.19 13893.96 10775.26 10986.42 12893.16 67
PAPR81.66 9380.89 9583.99 10790.27 8164.00 19786.76 16791.77 8368.84 20777.13 15389.50 11667.63 6894.88 7567.55 17588.52 10093.09 68
UA-Net85.08 5584.96 5185.45 6392.07 5868.07 11289.78 6190.86 10982.48 284.60 4393.20 4169.35 5795.22 5871.39 14790.88 7093.07 69
HPM-MVS++copyleft89.02 589.15 588.63 195.01 376.03 192.38 1692.85 3880.26 1487.78 1594.27 1975.89 896.81 1187.45 1096.44 293.05 70
thisisatest053079.40 15177.76 16684.31 9387.69 17865.10 16487.36 13784.26 24570.04 18277.42 14388.26 15149.94 26894.79 8070.20 15484.70 14493.03 71
train_agg86.43 3486.20 3487.13 3693.26 3872.96 2288.75 9291.89 7568.69 20985.00 3293.10 4374.43 1495.41 5284.97 1795.71 1293.02 72
agg_prior386.16 4085.85 4187.10 3793.31 3572.86 2688.77 9091.68 8568.29 22184.26 4892.83 5172.83 2995.42 5184.97 1795.71 1293.02 72
agg_prior186.22 3986.09 3886.62 4692.85 4671.94 4488.59 9791.78 8168.96 20684.41 4593.18 4274.94 1094.93 6984.75 2495.33 2193.01 74
EI-MVSNet-UG-set83.81 6183.38 6185.09 7287.87 16167.53 11987.44 13689.66 15179.74 1882.23 7389.41 12470.24 4894.74 8279.95 6383.92 15092.99 75
tttt051779.40 15177.91 16083.90 11188.10 15563.84 20088.37 10784.05 24771.45 16276.78 15589.12 12749.93 27094.89 7470.18 15583.18 16892.96 76
test9_res84.90 1995.70 1492.87 77
diffmvs81.48 9881.21 9182.31 17383.28 26462.72 22685.09 21688.63 19374.99 8878.31 12288.81 13465.80 8591.36 21979.03 6686.95 11892.84 78
agg_prior282.91 4295.45 1692.70 79
APD-MVScopyleft87.44 1787.52 1587.19 3494.24 2072.39 3791.86 2592.83 3973.01 13288.58 1094.52 1073.36 2396.49 2484.26 2995.01 2592.70 79
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
Vis-MVSNet (Re-imp)78.36 17078.45 14778.07 25988.64 13951.78 32786.70 16879.63 30374.14 10175.11 19990.83 9061.29 15089.75 24758.10 25591.60 6192.69 81
TSAR-MVS + GP.85.71 4585.33 4686.84 4091.34 6572.50 3489.07 8187.28 21576.41 6085.80 2490.22 10074.15 2195.37 5681.82 4891.88 5992.65 82
Test477.83 18675.90 20383.62 11580.24 31065.25 15985.27 21190.67 11169.03 20466.48 30083.75 26443.07 30893.00 16475.93 9888.66 9592.62 83
test_normal79.81 14178.45 14783.89 11282.70 28065.40 15385.82 19689.48 15669.39 19270.12 25985.66 23557.15 18993.71 13177.08 8788.62 9692.56 84
test_yl81.17 10180.47 10183.24 12989.13 12263.62 20286.21 18289.95 14272.43 14681.78 7989.61 11357.50 18293.58 13370.75 14886.90 11992.52 85
DCV-MVSNet81.17 10180.47 10183.24 12989.13 12263.62 20286.21 18289.95 14272.43 14681.78 7989.61 11357.50 18293.58 13370.75 14886.90 11992.52 85
nrg03083.88 6083.53 5984.96 7586.77 19769.28 8490.46 4692.67 4474.79 9282.95 6291.33 7672.70 3093.09 15880.79 5879.28 21992.50 87
MG-MVS83.41 6883.45 6083.28 12692.74 4862.28 23188.17 11489.50 15575.22 8581.49 8292.74 5566.75 7595.11 6272.85 12991.58 6292.45 88
FIs82.07 8582.42 7381.04 20588.80 13458.34 26088.26 11293.49 1476.93 4978.47 11591.04 8469.92 5192.34 18369.87 15984.97 14092.44 89
DI_MVS_plusplus_test79.89 14078.58 14483.85 11382.89 27665.32 15786.12 18589.55 15369.64 19170.55 25085.82 23257.24 18793.81 11976.85 9088.55 9892.41 90
FC-MVSNet-test81.52 9582.02 8180.03 22088.42 14855.97 29887.95 11993.42 1777.10 4577.38 14490.98 8969.96 5091.79 19768.46 17184.50 14592.33 91
Fast-Effi-MVS+80.81 11079.92 10983.47 11988.85 12964.51 18085.53 20889.39 15970.79 16978.49 11485.06 24867.54 6993.58 13367.03 18486.58 12592.32 92
TranMVSNet+NR-MVSNet80.84 10780.31 10482.42 17087.85 16262.33 22987.74 12491.33 9780.55 1277.99 13489.86 10865.23 8992.62 17367.05 18375.24 27192.30 93
ab-mvs79.51 14678.97 13881.14 20388.46 14660.91 24083.84 24589.24 16670.36 17779.03 10588.87 13263.23 10690.21 24265.12 19782.57 17892.28 94
CANet_DTU80.61 11779.87 11082.83 15785.60 20963.17 22087.36 13788.65 19176.37 6475.88 17788.44 14553.51 21593.07 15973.30 12689.74 8392.25 95
UniMVSNet_NR-MVSNet81.88 8881.54 8682.92 15088.46 14663.46 21087.13 15092.37 5580.19 1578.38 11989.14 12671.66 3793.05 16070.05 15676.46 25392.25 95
DU-MVS81.12 10380.52 10082.90 15187.80 17163.46 21087.02 15691.87 7779.01 2678.38 11989.07 12865.02 9193.05 16070.05 15676.46 25392.20 97
NR-MVSNet80.23 13079.38 12582.78 16387.80 17163.34 21386.31 17991.09 10479.01 2672.17 23389.07 12867.20 7392.81 17166.08 19075.65 26292.20 97
TAPA-MVS73.13 979.15 15677.94 15982.79 16289.59 9962.99 22488.16 11591.51 9165.77 24677.14 15291.09 8260.91 15793.21 14950.26 29187.05 11692.17 99
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
3Dnovator76.31 583.38 7082.31 7786.59 4787.94 16072.94 2590.64 4192.14 6377.21 4275.47 18592.83 5158.56 17494.72 8373.24 12792.71 5592.13 100
MVS_111021_HR85.14 5484.75 5486.32 5291.65 6372.70 2885.98 18890.33 12676.11 6982.08 7491.61 6971.36 3994.17 10181.02 5392.58 5692.08 101
MVSFormer82.85 7682.05 8085.24 6887.35 18470.21 6490.50 4490.38 12168.55 21181.32 8489.47 11861.68 14193.46 14078.98 6890.26 7592.05 102
jason81.39 9980.29 10584.70 8286.63 19869.90 7185.95 18986.77 21963.24 26981.07 9089.47 11861.08 15592.15 18778.33 7590.07 8092.05 102
jason: jason.
HyFIR lowres test77.53 19375.40 21283.94 11089.59 9966.62 13380.36 28188.64 19256.29 32576.45 16185.17 24557.64 18093.28 14761.34 22883.10 17091.91 104
mvs-test180.88 10579.40 12485.29 6685.13 21769.75 7489.28 7188.10 20074.99 8876.44 16486.72 19257.27 18594.26 9773.53 12383.18 16891.87 105
XVG-OURS-SEG-HR80.81 11079.76 11383.96 10985.60 20968.78 9283.54 25090.50 11870.66 17376.71 15791.66 6560.69 16091.26 22276.94 8981.58 18791.83 106
lupinMVS81.39 9980.27 10684.76 8187.35 18470.21 6485.55 20686.41 22362.85 27581.32 8488.61 13961.68 14192.24 18678.41 7490.26 7591.83 106
abl_685.23 5284.95 5286.07 5692.23 5670.48 6290.80 3992.08 6473.51 11985.26 2994.16 2362.75 12095.92 4082.46 4791.30 6691.81 108
WR-MVS79.49 14779.22 13480.27 21788.79 13558.35 25985.06 21788.61 19478.56 2977.65 13988.34 14763.81 10090.66 23764.98 20077.22 23691.80 109
UniMVSNet (Re)81.60 9481.11 9283.09 13788.38 14964.41 18887.60 12693.02 2978.42 3178.56 11288.16 15269.78 5293.26 14869.58 16276.49 25291.60 110
UGNet80.83 10979.59 11784.54 8488.04 15768.09 11189.42 6988.16 19876.95 4876.22 17089.46 12049.30 27593.94 10968.48 17090.31 7491.60 110
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
XVG-OURS80.41 12279.23 13383.97 10885.64 20869.02 8683.03 26090.39 12071.09 16677.63 14091.49 7354.62 20791.35 22075.71 10283.47 16091.54 112
LCM-MVSNet-Re77.05 20576.94 18077.36 27087.20 19051.60 32880.06 28380.46 29475.20 8667.69 28886.72 19262.48 13288.98 26963.44 20789.25 8791.51 113
DP-MVS Recon83.11 7382.09 7986.15 5494.44 1270.92 5688.79 8992.20 6070.53 17579.17 10491.03 8664.12 9796.03 3468.39 17290.14 7891.50 114
pcd1.5k->3k34.07 34135.26 34130.50 35486.92 1930.00 3750.00 36791.58 880.00 3700.00 3720.00 37256.23 1930.00 3720.00 36982.60 17791.49 115
PS-MVSNAJss82.07 8581.31 8784.34 9286.51 19967.27 12589.27 7291.51 9171.75 15579.37 10290.22 10063.15 10894.27 9377.69 8082.36 18091.49 115
thisisatest051577.33 20375.38 21383.18 13285.27 21363.80 20182.11 26583.27 25965.06 25375.91 17683.84 26249.54 27294.27 9367.24 18086.19 13191.48 117
DPM-MVS84.93 5684.29 5786.84 4090.20 8373.04 2087.12 15293.04 2669.80 18682.85 6591.22 7873.06 2696.02 3576.72 9394.63 3491.46 118
HQP_MVS83.64 6483.14 6485.14 7090.08 8768.71 9891.25 3292.44 5079.12 2378.92 10791.00 8760.42 16595.38 5478.71 7086.32 12991.33 119
plane_prior592.44 5095.38 5478.71 7086.32 12991.33 119
GA-MVS76.87 20875.17 22181.97 17982.75 27862.58 22781.44 27586.35 22672.16 15374.74 20482.89 27146.20 29292.02 19068.85 16881.09 19191.30 121
VPA-MVSNet80.60 11880.55 9980.76 20988.07 15660.80 24286.86 16191.58 8875.67 7580.24 9689.45 12263.34 10290.25 24170.51 15279.22 22091.23 122
Effi-MVS+-dtu80.03 13778.57 14584.42 8885.13 21768.74 9688.77 9088.10 20074.99 8874.97 20283.49 26857.27 18593.36 14573.53 12380.88 19391.18 123
v2v48280.23 13079.29 13183.05 14083.62 25664.14 19287.04 15589.97 14173.61 11578.18 13087.22 17861.10 15493.82 11876.11 9576.78 25091.18 123
Anonymous2023121178.97 16177.69 16882.81 15990.54 7764.29 19090.11 5491.51 9165.01 25576.16 17588.13 15650.56 26093.03 16369.68 16177.56 23191.11 125
HQP4-MVS77.24 14895.11 6291.03 126
HQP-MVS82.61 8082.02 8184.37 8989.33 11066.98 12989.17 7592.19 6176.41 6077.23 14990.23 9960.17 16895.11 6277.47 8285.99 13491.03 126
RPSCF73.23 26271.46 26178.54 25282.50 28459.85 24882.18 26482.84 26858.96 30671.15 24789.41 12445.48 29984.77 30458.82 24871.83 29791.02 128
test_djsdf80.30 12879.32 12783.27 12783.98 24765.37 15690.50 4490.38 12168.55 21176.19 17188.70 13556.44 19293.46 14078.98 6880.14 20690.97 129
PCF-MVS73.52 780.38 12678.84 14085.01 7487.71 17668.99 8883.65 24791.46 9563.00 27277.77 13890.28 9766.10 8095.09 6661.40 22688.22 10490.94 130
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
VPNet78.69 16578.66 14278.76 24888.31 15155.72 30484.45 23386.63 22176.79 5278.26 12790.55 9559.30 17089.70 24966.63 18577.05 23890.88 131
CPTT-MVS83.73 6283.33 6284.92 7893.28 3770.86 5792.09 2390.38 12168.75 20879.57 10092.83 5160.60 16393.04 16280.92 5691.56 6390.86 132
CLD-MVS82.31 8281.65 8584.29 9488.47 14567.73 11885.81 19792.35 5675.78 7278.33 12186.58 20564.01 9894.35 9076.05 9687.48 11290.79 133
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
v119279.59 14578.43 15083.07 13983.55 25864.52 17886.93 15990.58 11570.83 16877.78 13785.90 22859.15 17193.94 10973.96 11877.19 23790.76 134
IterMVS-LS80.06 13679.38 12582.11 17585.89 20463.20 21886.79 16489.34 16074.19 9975.45 18786.72 19266.62 7692.39 18072.58 13476.86 24490.75 135
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet80.52 12179.98 10882.12 17484.28 22763.19 21986.41 17688.95 18074.18 10078.69 10987.54 17066.62 7692.43 17872.57 13580.57 19990.74 136
v192192079.22 15578.03 15782.80 16083.30 26363.94 19986.80 16390.33 12669.91 18477.48 14285.53 23958.44 17593.75 12573.60 12276.85 24590.71 137
v114180.19 13279.31 12882.85 15483.84 25164.12 19487.14 14790.08 13773.13 12778.27 12486.39 21162.67 12593.75 12575.40 10776.83 24790.68 138
divwei89l23v2f11280.19 13279.31 12882.85 15483.84 25164.11 19687.13 15090.08 13773.13 12778.27 12486.39 21162.69 12393.75 12575.40 10776.82 24890.68 138
v180.19 13279.31 12882.85 15483.83 25364.12 19487.14 14790.07 13973.13 12778.27 12486.38 21562.72 12293.75 12575.41 10676.82 24890.68 138
QAPM80.88 10579.50 12285.03 7388.01 15968.97 8991.59 2792.00 6966.63 23675.15 19892.16 5657.70 17995.45 4963.52 20688.76 9390.66 141
v14419279.47 14878.37 15182.78 16383.35 26163.96 19886.96 15790.36 12469.99 18377.50 14185.67 23460.66 16193.77 12374.27 11576.58 25190.62 142
v124078.99 16077.78 16482.64 16783.21 26563.54 20686.62 17090.30 12869.74 19077.33 14585.68 23357.04 19093.76 12473.13 12876.92 24290.62 142
v114480.03 13779.03 13683.01 14283.78 25464.51 18087.11 15390.57 11671.96 15478.08 13386.20 21961.41 14793.94 10974.93 11177.23 23590.60 144
testing_275.73 23073.34 23982.89 15377.37 33065.22 16084.10 24290.54 11769.09 20060.46 32681.15 29640.48 32292.84 17076.36 9480.54 20190.60 144
1112_ss77.40 20276.43 18780.32 21589.11 12660.41 24683.65 24787.72 20862.13 28373.05 21686.72 19262.58 12989.97 24462.11 22080.80 19590.59 146
v1neww80.40 12379.54 11882.98 14484.10 23864.51 18087.57 12890.22 13073.25 12478.47 11586.65 20062.83 11693.86 11575.72 10077.02 23990.58 147
v7new80.40 12379.54 11882.98 14484.10 23864.51 18087.57 12890.22 13073.25 12478.47 11586.65 20062.83 11693.86 11575.72 10077.02 23990.58 147
v680.40 12379.54 11882.98 14484.09 24064.50 18487.57 12890.22 13073.25 12478.47 11586.63 20262.84 11593.86 11575.73 9977.02 23990.58 147
CP-MVSNet78.22 17278.34 15277.84 26187.83 16954.54 30987.94 12091.17 10277.65 3373.48 21188.49 14362.24 13788.43 27862.19 21774.07 27990.55 150
PS-CasMVS78.01 18078.09 15677.77 26387.71 17654.39 31188.02 11691.22 9977.50 4073.26 21388.64 13860.73 15888.41 27961.88 22173.88 28390.53 151
v780.24 12979.26 13283.15 13484.07 24464.94 16887.56 13190.67 11172.26 15078.28 12386.51 20961.45 14694.03 10675.14 11077.41 23390.49 152
CDS-MVSNet79.07 15877.70 16783.17 13387.60 17968.23 10984.40 23686.20 22767.49 22976.36 16586.54 20761.54 14490.79 23561.86 22287.33 11390.49 152
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS78.89 16377.51 17183.03 14187.80 17167.79 11784.72 22385.05 23867.63 22576.75 15687.70 16462.25 13690.82 23458.53 25187.13 11590.49 152
PEN-MVS77.73 18777.69 16877.84 26187.07 19253.91 31387.91 12291.18 10177.56 3773.14 21588.82 13361.23 15189.17 26459.95 23672.37 29290.43 155
Test_1112_low_res76.40 21875.44 21079.27 23689.28 11658.09 26281.69 27087.07 21759.53 30272.48 22386.67 19861.30 14989.33 25560.81 23280.15 20590.41 156
HY-MVS69.67 1277.95 18277.15 17680.36 21387.57 18360.21 24783.37 25887.78 20766.11 24175.37 19087.06 18763.27 10490.48 23961.38 22782.43 17990.40 157
CHOSEN 1792x268877.63 19275.69 20483.44 12089.98 8968.58 10378.70 29887.50 21256.38 32475.80 17986.84 18858.67 17391.40 21861.58 22585.75 13790.34 158
114514_t80.68 11679.51 12184.20 9694.09 2667.27 12589.64 6791.11 10358.75 30974.08 20890.72 9258.10 17795.04 6769.70 16089.42 8690.30 159
PVSNet_Blended_VisFu82.62 7981.83 8484.96 7590.80 7569.76 7388.74 9491.70 8469.39 19278.96 10688.46 14465.47 8794.87 7674.42 11388.57 9790.24 160
MVS_111021_LR82.61 8082.11 7884.11 9888.82 13271.58 4785.15 21586.16 22874.69 9480.47 9591.04 8462.29 13590.55 23880.33 6190.08 7990.20 161
MSLP-MVS++85.43 4985.76 4384.45 8791.93 6070.24 6390.71 4092.86 3777.46 4184.22 4992.81 5467.16 7492.94 16580.36 6094.35 4290.16 162
mvs_tets79.13 15777.77 16583.22 13184.70 22266.37 13789.17 7590.19 13369.38 19475.40 18989.46 12044.17 30393.15 15476.78 9280.70 19790.14 163
BH-RMVSNet79.61 14478.44 14983.14 13589.38 10965.93 14384.95 21987.15 21673.56 11778.19 12989.79 10956.67 19193.36 14559.53 24186.74 12290.13 164
v7n78.97 16177.58 17083.14 13583.45 26065.51 15188.32 10891.21 10073.69 11472.41 23086.32 21657.93 17893.81 11969.18 16575.65 26290.11 165
jajsoiax79.29 15477.96 15883.27 12784.68 22366.57 13589.25 7490.16 13469.20 19875.46 18689.49 11745.75 29793.13 15676.84 9180.80 19590.11 165
v14878.72 16477.80 16381.47 19682.73 27961.96 23486.30 18088.08 20273.26 12376.18 17285.47 24162.46 13392.36 18271.92 14473.82 28490.09 167
GBi-Net78.40 16877.40 17281.40 19887.60 17963.01 22188.39 10489.28 16271.63 15775.34 19187.28 17454.80 20191.11 22562.72 21179.57 21490.09 167
test178.40 16877.40 17281.40 19887.60 17963.01 22188.39 10489.28 16271.63 15775.34 19187.28 17454.80 20191.11 22562.72 21179.57 21490.09 167
FMVSNet177.44 20076.12 19681.40 19886.81 19663.01 22188.39 10489.28 16270.49 17674.39 20787.28 17449.06 27891.11 22560.91 23078.52 22290.09 167
WR-MVS_H78.51 16778.49 14678.56 25188.02 15856.38 29388.43 10092.67 4477.14 4373.89 20987.55 16966.25 7989.24 25758.92 24673.55 28690.06 171
DTE-MVSNet76.99 20676.80 18277.54 26786.24 20153.06 32487.52 13390.66 11377.08 4672.50 22188.67 13760.48 16489.52 25157.33 26270.74 30390.05 172
view60076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
view80076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
conf0.05thres100076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
tfpn76.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
v879.97 13979.02 13782.80 16084.09 24064.50 18487.96 11890.29 12974.13 10275.24 19686.81 18962.88 11393.89 11474.39 11475.40 26790.00 173
thres600view776.50 21475.44 21079.68 22789.40 10757.16 27785.53 20883.23 26073.79 11376.26 16987.09 18551.89 23391.89 19548.05 30583.72 15890.00 173
thres40076.50 21475.37 21479.86 22389.13 12257.65 27285.17 21383.60 25273.41 12176.45 16186.39 21152.12 22691.95 19148.33 29983.75 15390.00 173
OPM-MVS83.50 6682.95 6885.14 7088.79 13570.95 5389.13 8091.52 9077.55 3880.96 9191.75 6460.71 15994.50 8879.67 6586.51 12789.97 180
v1079.74 14378.67 14182.97 14884.06 24564.95 16787.88 12390.62 11473.11 13075.11 19986.56 20661.46 14594.05 10573.68 11975.55 26489.90 181
MVSTER79.01 15977.88 16182.38 17183.07 27064.80 17184.08 24388.95 18069.01 20578.69 10987.17 18154.70 20592.43 17874.69 11280.57 19989.89 182
ACMP74.13 681.51 9780.57 9884.36 9089.42 10668.69 10189.97 5691.50 9474.46 9675.04 20190.41 9653.82 21394.54 8577.56 8182.91 17189.86 183
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
LPG-MVS_test82.08 8481.27 8884.50 8589.23 11868.76 9490.22 5291.94 7375.37 8276.64 15991.51 7154.29 20894.91 7178.44 7283.78 15189.83 184
LGP-MVS_train84.50 8589.23 11868.76 9491.94 7375.37 8276.64 15991.51 7154.29 20894.91 7178.44 7283.78 15189.83 184
V4279.38 15378.24 15582.83 15781.10 30265.50 15285.55 20689.82 14771.57 16078.21 12886.12 22060.66 16193.18 15375.64 10375.46 26689.81 186
tfpn11176.54 21275.51 20979.61 23089.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23392.06 18948.04 30683.73 15789.78 187
conf0.0173.67 24972.42 24877.42 26887.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20889.78 187
conf0.00273.67 24972.42 24877.42 26887.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20889.78 187
conf200view1176.55 21175.55 20779.57 23389.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23391.95 19148.33 29983.75 15389.78 187
MAR-MVS81.84 8980.70 9685.27 6791.32 6671.53 4889.82 5890.92 10669.77 18778.50 11386.21 21862.36 13494.52 8765.36 19592.05 5889.77 191
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
tpmp4_e2373.45 25271.17 26680.31 21683.55 25859.56 25181.88 26682.33 27257.94 31470.51 25281.62 29251.19 24791.63 21353.96 27577.51 23289.75 192
v74877.97 18176.65 18581.92 18182.29 28663.28 21587.53 13290.35 12573.50 12070.76 24985.55 23858.28 17692.81 17168.81 16972.76 29189.67 193
anonymousdsp78.60 16677.15 17682.98 14480.51 30867.08 12787.24 14589.53 15465.66 24875.16 19787.19 18052.52 21892.25 18577.17 8679.34 21889.61 194
FMVSNet278.20 17477.21 17581.20 20187.60 17962.89 22587.47 13589.02 17171.63 15775.29 19587.28 17454.80 20191.10 22862.38 21579.38 21789.61 194
FMVSNet377.88 18576.85 18180.97 20686.84 19562.36 22886.52 17388.77 18771.13 16475.34 19186.66 19954.07 21191.10 22862.72 21179.57 21489.45 196
cascas76.72 21074.64 22482.99 14385.78 20665.88 14582.33 26389.21 16760.85 29172.74 21881.02 29847.28 28593.75 12567.48 17685.02 13989.34 197
Fast-Effi-MVS+-dtu78.02 17976.49 18682.62 16883.16 26966.96 13186.94 15887.45 21472.45 14371.49 24484.17 25854.79 20491.58 21567.61 17480.31 20389.30 198
IB-MVS68.01 1575.85 22973.36 23883.31 12584.76 22166.03 14083.38 25185.06 23770.21 18169.40 26981.05 29745.76 29694.66 8465.10 19875.49 26589.25 199
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
thres100view90076.50 21475.55 20779.33 23589.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23391.95 19148.33 29983.75 15389.07 200
tfpn200view976.42 21775.37 21479.55 23489.13 12257.65 27285.17 21383.60 25273.41 12176.45 16186.39 21152.12 22691.95 19148.33 29983.75 15389.07 200
xiu_mvs_v1_base_debu80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
xiu_mvs_v1_base80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
xiu_mvs_v1_base_debi80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
v5277.94 18476.37 18982.67 16579.39 32265.52 14986.43 17489.94 14472.28 14872.15 23584.94 25155.70 19693.44 14273.64 12072.84 29089.06 202
V477.95 18276.37 18982.67 16579.40 32165.52 14986.43 17489.94 14472.28 14872.14 23684.95 25055.72 19593.44 14273.64 12072.86 28989.05 206
EPNet_dtu75.46 23374.86 22277.23 27382.57 28354.60 30886.89 16083.09 26571.64 15666.25 30285.86 23055.99 19488.04 28354.92 27186.55 12689.05 206
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
pm-mvs177.25 20476.68 18478.93 24584.22 23058.62 25786.41 17688.36 19771.37 16373.31 21288.01 15761.22 15289.15 26564.24 20473.01 28889.03 208
PVSNet_Blended80.98 10480.34 10382.90 15188.85 12965.40 15384.43 23492.00 6967.62 22678.11 13185.05 24966.02 8394.27 9371.52 14589.50 8489.01 209
PAPM77.68 18976.40 18881.51 19587.29 18961.85 23583.78 24689.59 15264.74 25771.23 24588.70 13562.59 12893.66 13252.66 28187.03 11789.01 209
WTY-MVS75.65 23175.68 20575.57 29086.40 20056.82 28477.92 30582.40 27165.10 25276.18 17287.72 16363.13 11180.90 31860.31 23481.96 18289.00 211
无先验87.48 13488.98 17760.00 29794.12 10267.28 17888.97 212
GSMVS88.96 213
sam_mvs151.32 24588.96 213
SCA74.22 24372.33 25579.91 22284.05 24662.17 23279.96 28579.29 30566.30 24072.38 23180.13 30551.95 23188.60 27659.25 24377.67 23088.96 213
ACMM73.20 880.78 11579.84 11183.58 11789.31 11568.37 10589.99 5591.60 8770.28 17977.25 14789.66 11153.37 21693.53 13874.24 11682.85 17288.85 216
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
pmmvs674.69 23873.39 23778.61 25081.38 29757.48 27586.64 16987.95 20464.99 25670.18 25686.61 20350.43 26289.52 25162.12 21970.18 30588.83 217
原ACMM184.35 9193.01 4468.79 9192.44 5063.96 26781.09 8991.57 7066.06 8295.45 4967.19 18194.82 3288.81 218
CNLPA78.08 17776.79 18381.97 17990.40 8071.07 5187.59 12784.55 24166.03 24472.38 23189.64 11257.56 18186.04 29659.61 23983.35 16588.79 219
K. test v371.19 27568.51 28179.21 23883.04 27257.78 27184.35 23776.91 32472.90 13562.99 32082.86 27239.27 32691.09 23061.65 22452.66 34988.75 220
旧先验191.96 5965.79 14786.37 22593.08 4769.31 5892.74 5488.74 221
PatchmatchNetpermissive73.12 26371.33 26378.49 25483.18 26760.85 24179.63 28778.57 31464.13 26371.73 24079.81 31051.20 24685.97 29757.40 26176.36 25588.66 222
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
SixPastTwentyTwo73.37 25871.26 26579.70 22685.08 21957.89 26885.57 20283.56 25471.03 16765.66 30485.88 22942.10 31592.57 17559.11 24563.34 33288.65 223
v1877.67 19176.35 19381.64 19184.09 24064.47 18687.27 14389.01 17372.59 14269.39 27082.04 28362.85 11491.80 19672.72 13167.20 31688.63 224
v1777.68 18976.35 19381.69 18884.15 23564.65 17587.33 14088.99 17572.70 14069.25 27482.07 28262.82 11891.79 19772.69 13367.15 31788.63 224
v1677.69 18876.36 19281.68 18984.15 23564.63 17787.33 14088.99 17572.69 14169.31 27382.08 28162.80 11991.79 19772.70 13267.23 31588.63 224
v1577.51 19676.12 19681.66 19084.09 24064.65 17587.14 14788.96 17972.76 13868.90 27581.91 29062.74 12191.73 20172.32 13766.29 32388.61 227
V1477.52 19476.12 19681.70 18784.15 23564.77 17287.21 14688.95 18072.80 13768.79 27681.94 28962.69 12391.72 20372.31 13866.27 32488.60 228
V977.52 19476.11 19981.73 18684.19 23464.89 16987.26 14488.94 18372.87 13668.65 27981.96 28862.65 12691.72 20372.27 13966.24 32588.60 228
PS-MVSNAJ81.69 9181.02 9483.70 11489.51 10468.21 11084.28 23990.09 13670.79 16981.26 8885.62 23763.15 10894.29 9175.62 10488.87 9188.59 230
v1277.51 19676.09 20081.76 18584.22 23064.99 16687.30 14288.93 18472.92 13368.48 28381.97 28662.54 13091.70 20672.24 14066.21 32788.58 231
xiu_mvs_v2_base81.69 9181.05 9383.60 11689.15 12168.03 11384.46 23290.02 14070.67 17281.30 8786.53 20863.17 10794.19 9975.60 10588.54 9988.57 232
v1377.50 19876.07 20181.77 18384.23 22965.07 16587.34 13988.91 18572.92 13368.35 28481.97 28662.53 13191.69 20772.20 14166.22 32688.56 233
v1177.45 19976.06 20281.59 19484.22 23064.52 17887.11 15389.02 17172.76 13868.76 27781.90 29162.09 13991.71 20571.98 14266.73 31888.56 233
DWT-MVSNet_test73.70 24771.86 25879.21 23882.91 27558.94 25482.34 26282.17 27465.21 25071.05 24878.31 31644.21 30290.17 24363.29 20977.28 23488.53 235
CostFormer75.24 23773.90 23479.27 23682.65 28258.27 26180.80 27682.73 26961.57 28675.33 19483.13 27055.52 19791.07 23164.98 20078.34 22688.45 236
lessismore_v078.97 24481.01 30357.15 27865.99 35861.16 32482.82 27339.12 32791.34 22159.67 23846.92 35388.43 237
OpenMVScopyleft72.83 1079.77 14278.33 15384.09 10085.17 21469.91 7090.57 4290.97 10566.70 23272.17 23391.91 6154.70 20593.96 10761.81 22390.95 6988.41 238
OurMVSNet-221017-074.26 24272.42 24879.80 22583.76 25559.59 24985.92 19186.64 22066.39 23966.96 29587.58 16739.46 32591.60 21465.76 19369.27 30788.22 239
LS3D76.95 20774.82 22383.37 12490.45 7867.36 12489.15 7986.94 21861.87 28569.52 26890.61 9451.71 24294.53 8646.38 31786.71 12388.21 240
PatchFormer-LS_test74.50 23973.05 24178.86 24682.95 27459.55 25281.65 27182.30 27367.44 23071.62 24278.15 31952.34 22288.92 27365.05 19975.90 25988.12 241
XVG-ACMP-BASELINE76.11 22674.27 23181.62 19283.20 26664.67 17483.60 24989.75 14969.75 18871.85 23987.09 18532.78 34192.11 18869.99 15880.43 20288.09 242
tpm273.26 26171.46 26178.63 24983.34 26256.71 28780.65 27980.40 29556.63 32373.55 21082.02 28451.80 24191.24 22356.35 26778.42 22587.95 243
MDTV_nov1_ep13_2view37.79 35775.16 31855.10 32866.53 29949.34 27453.98 27487.94 244
Patchmatch-test64.82 31163.24 30969.57 32179.42 32049.82 33863.49 35269.05 35451.98 34159.95 32980.13 30550.91 24970.98 35340.66 33973.57 28587.90 245
PLCcopyleft70.83 1178.05 17876.37 18983.08 13891.88 6267.80 11688.19 11389.46 15764.33 26269.87 26588.38 14653.66 21493.58 13358.86 24782.73 17487.86 246
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
tpm72.37 27071.71 26074.35 30182.19 28752.00 32579.22 29277.29 32264.56 25972.95 21783.68 26751.35 24483.26 31258.33 25375.80 26087.81 247
Patchmatch-RL test70.24 28467.78 29377.61 26577.43 32959.57 25071.16 32870.33 34762.94 27468.65 27972.77 33850.62 25385.49 30069.58 16266.58 32187.77 248
F-COLMAP76.38 21974.33 23082.50 16989.28 11666.95 13288.41 10389.03 17064.05 26466.83 29688.61 13946.78 28892.89 16657.48 25978.55 22187.67 249
Baseline_NR-MVSNet78.15 17678.33 15377.61 26585.79 20556.21 29686.78 16585.76 23273.60 11677.93 13587.57 16865.02 9188.99 26867.14 18275.33 26887.63 250
ACMH+68.96 1476.01 22774.01 23282.03 17788.60 14065.31 15888.86 8687.55 21070.25 18067.75 28787.47 17241.27 31893.19 15258.37 25275.94 25887.60 251
131476.53 21375.30 21680.21 21883.93 24862.32 23084.66 22488.81 18660.23 29570.16 25884.07 26055.30 19990.73 23667.37 17783.21 16787.59 252
API-MVS81.99 8781.23 8984.26 9590.94 7170.18 6991.10 3589.32 16171.51 16178.66 11188.28 14965.26 8895.10 6564.74 20291.23 6787.51 253
AdaColmapbinary80.58 12079.42 12384.06 10193.09 4368.91 9089.36 7088.97 17869.27 19675.70 18489.69 11057.20 18895.77 4163.06 21088.41 10287.50 254
PVSNet_BlendedMVS80.60 11880.02 10782.36 17288.85 12965.40 15386.16 18492.00 6969.34 19578.11 13186.09 22166.02 8394.27 9371.52 14582.06 18187.39 255
sss73.60 25173.64 23673.51 30582.80 27755.01 30676.12 31181.69 28362.47 28074.68 20585.85 23157.32 18478.11 33060.86 23180.93 19287.39 255
IterMVS-SCA-FT75.43 23473.87 23580.11 21982.69 28164.85 17081.57 27383.47 25669.16 19970.49 25384.15 25951.95 23188.15 28169.23 16472.14 29587.34 257
PVSNet64.34 1872.08 27170.87 26975.69 28886.21 20256.44 29174.37 32380.73 29062.06 28470.17 25782.23 27942.86 31083.31 31154.77 27284.45 14787.32 258
新几何183.42 12193.13 4070.71 5985.48 23357.43 31881.80 7891.98 6063.28 10392.27 18464.60 20392.99 5187.27 259
112180.84 10779.77 11284.05 10293.11 4270.78 5884.66 22485.42 23457.37 31981.76 8192.02 5963.41 10194.12 10267.28 17892.93 5287.26 260
TR-MVS77.44 20076.18 19581.20 20188.24 15263.24 21684.61 22886.40 22467.55 22877.81 13686.48 21054.10 21093.15 15457.75 25882.72 17587.20 261
TransMVSNet (Re)75.39 23674.56 22677.86 26085.50 21157.10 27986.78 16586.09 23072.17 15271.53 24387.34 17363.01 11289.31 25656.84 26561.83 33587.17 262
ACMH67.68 1675.89 22873.93 23381.77 18388.71 13866.61 13488.62 9689.01 17369.81 18566.78 29786.70 19741.95 31791.51 21655.64 26978.14 22787.17 262
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
EPMVS69.02 29268.16 28571.59 31179.61 31849.80 33977.40 30766.93 35762.82 27670.01 26079.05 31245.79 29577.86 33256.58 26675.26 27087.13 264
CR-MVSNet73.37 25871.27 26479.67 22881.32 30065.19 16175.92 31380.30 29659.92 29872.73 21981.19 29452.50 21986.69 29059.84 23777.71 22887.11 265
RPMNet71.62 27268.94 27979.67 22881.32 30065.19 16175.92 31378.30 31657.60 31772.73 21976.45 32852.30 22386.69 29048.14 30477.71 22887.11 265
XXY-MVS75.41 23575.56 20674.96 29583.59 25757.82 27080.59 28083.87 25066.54 23774.93 20388.31 14863.24 10580.09 32262.16 21876.85 24586.97 267
tpmrst72.39 26872.13 25673.18 30780.54 30749.91 33779.91 28679.08 30663.11 27071.69 24179.95 30755.32 19882.77 31365.66 19473.89 28286.87 268
thres20075.55 23274.47 22878.82 24787.78 17457.85 26983.07 25983.51 25572.44 14575.84 17884.42 25752.08 22891.75 20047.41 30883.64 15986.86 269
ITE_SJBPF78.22 25681.77 29160.57 24483.30 25869.25 19767.54 28987.20 17936.33 33787.28 28854.34 27374.62 27686.80 270
test22291.50 6468.26 10884.16 24083.20 26454.63 33079.74 9891.63 6858.97 17291.42 6486.77 271
MIMVSNet70.69 27969.30 27574.88 29684.52 22456.35 29475.87 31579.42 30464.59 25867.76 28682.41 27641.10 31981.54 31746.64 31681.34 18986.75 272
BH-untuned79.47 14878.60 14382.05 17689.19 12065.91 14486.07 18788.52 19572.18 15175.42 18887.69 16561.15 15393.54 13760.38 23386.83 12186.70 273
LTVRE_ROB69.57 1376.25 22074.54 22781.41 19788.60 14064.38 18979.24 29189.12 16970.76 17169.79 26787.86 15849.09 27793.20 15156.21 26880.16 20486.65 274
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
testdata79.97 22190.90 7264.21 19184.71 23959.27 30485.40 2792.91 4862.02 14089.08 26668.95 16791.37 6586.63 275
thresconf0.0273.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpn_n40073.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpnconf73.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpnview1173.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
MIMVSNet168.58 29466.78 29973.98 30480.07 31251.82 32680.77 27784.37 24264.40 26159.75 33082.16 28036.47 33683.63 30942.73 33570.33 30486.48 276
tfpnnormal74.39 24073.16 24078.08 25886.10 20358.05 26384.65 22787.53 21170.32 17871.22 24685.63 23654.97 20089.86 24543.03 33475.02 27286.32 281
tpm cat170.57 28068.31 28377.35 27182.41 28557.95 26778.08 30380.22 29952.04 34068.54 28277.66 32352.00 23087.84 28551.77 28272.07 29686.25 282
CVMVSNet72.99 26572.58 24574.25 30284.28 22750.85 33386.41 17683.45 25744.56 34973.23 21487.54 17049.38 27385.70 29865.90 19178.44 22486.19 283
tfpn100073.44 25372.49 24676.29 28387.81 17053.69 31584.05 24478.81 31367.99 22472.09 23786.27 21749.95 26789.04 26744.09 33181.38 18886.15 284
AllTest70.96 27768.09 28779.58 23185.15 21563.62 20284.58 22979.83 30162.31 28160.32 32786.73 19032.02 34288.96 27150.28 28971.57 29986.15 284
TestCases79.58 23185.15 21563.62 20279.83 30162.31 28160.32 32786.73 19032.02 34288.96 27150.28 28971.57 29986.15 284
test-LLR72.94 26672.43 24774.48 29981.35 29858.04 26478.38 29977.46 32066.66 23369.95 26379.00 31448.06 28179.24 32466.13 18784.83 14186.15 284
test-mter71.41 27470.39 27274.48 29981.35 29858.04 26478.38 29977.46 32060.32 29469.95 26379.00 31436.08 33879.24 32466.13 18784.83 14186.15 284
IterMVS74.29 24172.94 24278.35 25581.53 29463.49 20881.58 27282.49 27068.06 22369.99 26283.69 26651.66 24385.54 29965.85 19271.64 29886.01 289
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS76.78 20974.57 22583.42 12193.29 3669.46 8288.55 9983.70 25163.98 26670.20 25588.89 13154.01 21294.80 7946.66 31481.88 18486.01 289
ppachtmachnet_test70.04 28667.34 29678.14 25779.80 31561.13 23779.19 29380.59 29159.16 30565.27 30779.29 31146.75 28987.29 28749.33 29566.72 31986.00 291
Patchmtry70.74 27869.16 27775.49 29280.72 30454.07 31274.94 32280.30 29658.34 31070.01 26081.19 29452.50 21986.54 29253.37 27871.09 30185.87 292
ambc75.24 29473.16 34450.51 33563.05 35387.47 21364.28 31377.81 32217.80 35989.73 24857.88 25760.64 33985.49 293
UnsupCasMVSNet_eth67.33 30065.99 30171.37 31373.48 34251.47 33075.16 31885.19 23665.20 25160.78 32580.93 30142.35 31277.20 33457.12 26353.69 34885.44 294
PatchT68.46 29667.85 29070.29 31980.70 30543.93 34772.47 32674.88 33260.15 29670.55 25076.57 32749.94 26881.59 31650.58 28774.83 27485.34 295
tfpn_ndepth73.70 24772.75 24376.52 27787.78 17454.92 30784.32 23880.28 29867.57 22772.50 22184.82 25250.12 26489.44 25445.73 32081.66 18685.20 296
ADS-MVSNet266.20 30863.33 30874.82 29779.92 31358.75 25667.55 34575.19 33053.37 33665.25 30875.86 32942.32 31380.53 32041.57 33768.91 30985.18 297
ADS-MVSNet64.36 31262.88 31268.78 32679.92 31347.17 34267.55 34571.18 34653.37 33665.25 30875.86 32942.32 31373.99 34741.57 33768.91 30985.18 297
FMVSNet569.50 28967.96 28874.15 30382.97 27355.35 30580.01 28482.12 27662.56 27963.02 31881.53 29336.92 33581.92 31548.42 29874.06 28085.17 299
pmmvs571.55 27370.20 27375.61 28977.83 32756.39 29281.74 26980.89 28757.76 31567.46 29084.49 25649.26 27685.32 30257.08 26475.29 26985.11 300
CMPMVSbinary51.72 2170.19 28568.16 28576.28 28473.15 34557.55 27479.47 28983.92 24848.02 34756.48 34084.81 25343.13 30786.42 29462.67 21481.81 18584.89 301
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
testgi66.67 30466.53 30067.08 32975.62 33741.69 35275.93 31276.50 32566.11 24165.20 31086.59 20435.72 33974.71 34343.71 33273.38 28784.84 302
MSDG73.36 26070.99 26780.49 21184.51 22565.80 14680.71 27886.13 22965.70 24765.46 30583.74 26544.60 30090.91 23351.13 28676.89 24384.74 303
pmmvs474.03 24571.91 25780.39 21281.96 28968.32 10681.45 27482.14 27559.32 30369.87 26585.13 24652.40 22188.13 28260.21 23574.74 27584.73 304
gg-mvs-nofinetune69.95 28767.96 28875.94 28683.07 27054.51 31077.23 30870.29 34863.11 27070.32 25462.33 35043.62 30588.69 27553.88 27687.76 10684.62 305
BH-w/o78.21 17377.33 17480.84 20788.81 13365.13 16384.87 22087.85 20669.75 18874.52 20684.74 25561.34 14893.11 15758.24 25485.84 13684.27 306
MVS78.19 17576.99 17981.78 18285.66 20766.99 12884.66 22490.47 11955.08 32972.02 23885.27 24463.83 9994.11 10466.10 18989.80 8284.24 307
COLMAP_ROBcopyleft66.92 1773.01 26470.41 27180.81 20887.13 19165.63 14888.30 10984.19 24662.96 27363.80 31787.69 16538.04 33192.56 17646.66 31474.91 27384.24 307
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
new-patchmatchnet61.73 31561.73 31561.70 33772.74 34624.50 36869.16 33878.03 31761.40 28756.72 33975.53 33138.42 32976.48 33745.95 31957.67 34284.13 309
TESTMET0.1,169.89 28869.00 27872.55 30879.27 32456.85 28378.38 29974.71 33657.64 31668.09 28577.19 32537.75 33276.70 33563.92 20584.09 14984.10 310
our_test_369.14 29167.00 29775.57 29079.80 31558.80 25577.96 30477.81 31859.55 30162.90 32178.25 31847.43 28383.97 30651.71 28367.58 31483.93 311
tpmvs71.09 27669.29 27676.49 27882.04 28856.04 29778.92 29681.37 28664.05 26467.18 29478.28 31749.74 27189.77 24649.67 29472.37 29283.67 312
test20.0367.45 29966.95 29868.94 32375.48 33944.84 34577.50 30677.67 31966.66 23363.01 31983.80 26347.02 28678.40 32842.53 33668.86 31183.58 313
test0.0.03 168.00 29767.69 29468.90 32477.55 32847.43 34175.70 31672.95 34366.66 23366.56 29882.29 27848.06 28175.87 33944.97 32474.51 27783.41 314
Anonymous2023120668.60 29367.80 29271.02 31780.23 31150.75 33478.30 30280.47 29356.79 32266.11 30382.63 27546.35 29078.95 32643.62 33375.70 26183.36 315
EU-MVSNet68.53 29567.61 29571.31 31678.51 32647.01 34384.47 23084.27 24442.27 35066.44 30184.79 25440.44 32383.76 30758.76 24968.54 31383.17 316
dp66.80 30265.43 30270.90 31879.74 31748.82 34075.12 32074.77 33459.61 30064.08 31577.23 32442.89 30980.72 31948.86 29766.58 32183.16 317
pmmvs-eth3d70.50 28267.83 29178.52 25377.37 33066.18 13981.82 26781.51 28458.90 30763.90 31680.42 30342.69 31186.28 29558.56 25065.30 32983.11 318
YYNet165.03 30962.91 31171.38 31275.85 33556.60 28969.12 33974.66 33857.28 32054.12 34377.87 32145.85 29474.48 34449.95 29261.52 33783.05 319
MDA-MVSNet-bldmvs66.68 30363.66 30775.75 28779.28 32360.56 24573.92 32478.35 31564.43 26050.13 35179.87 30944.02 30483.67 30846.10 31856.86 34383.03 320
MDA-MVSNet_test_wron65.03 30962.92 31071.37 31375.93 33456.73 28569.09 34074.73 33557.28 32054.03 34477.89 32045.88 29374.39 34549.89 29361.55 33682.99 321
USDC70.33 28368.37 28276.21 28580.60 30656.23 29579.19 29386.49 22260.89 29061.29 32385.47 24131.78 34489.47 25353.37 27876.21 25682.94 322
OpenMVS_ROBcopyleft64.09 1970.56 28168.19 28477.65 26480.26 30959.41 25385.01 21882.96 26758.76 30865.43 30682.33 27737.63 33491.23 22445.34 32376.03 25782.32 323
JIA-IIPM66.32 30762.82 31376.82 27577.09 33261.72 23665.34 34975.38 32858.04 31364.51 31262.32 35142.05 31686.51 29351.45 28569.22 30882.21 324
EG-PatchMatch MVS74.04 24471.82 25980.71 21084.92 22067.42 12185.86 19288.08 20266.04 24364.22 31483.85 26135.10 34092.56 17657.44 26080.83 19482.16 325
MVP-Stereo76.12 22574.46 22981.13 20485.37 21269.79 7284.42 23587.95 20465.03 25467.46 29085.33 24353.28 21791.73 20158.01 25683.27 16681.85 326
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TDRefinement67.49 29864.34 30576.92 27473.47 34361.07 23884.86 22182.98 26659.77 29958.30 33385.13 24626.06 34887.89 28447.92 30760.59 34081.81 327
GG-mvs-BLEND75.38 29381.59 29355.80 30379.32 29069.63 35067.19 29373.67 33743.24 30688.90 27450.41 28884.50 14581.45 328
test_040272.79 26770.44 27079.84 22488.13 15465.99 14285.93 19084.29 24365.57 24967.40 29285.49 240