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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
test_part295.06 172.65 2791.80 2
ESAPD89.40 189.87 187.98 1295.06 172.65 2792.22 1994.09 175.63 7491.80 295.29 381.79 197.56 186.60 1396.38 393.74 40
HPM-MVS++copyleft89.02 489.15 588.63 195.01 376.03 192.38 1592.85 3580.26 1487.78 1494.27 1975.89 996.81 1187.45 1096.44 293.05 68
CNVR-MVS88.93 689.13 688.33 494.77 473.82 690.51 4393.00 2780.90 1088.06 1294.06 2776.43 696.84 1088.48 495.99 794.34 16
ACMMPR87.44 1787.23 1988.08 894.64 573.59 993.04 593.20 2076.78 5284.66 3894.52 1068.81 5996.65 1784.53 2694.90 2894.00 29
region2R87.42 1987.20 2088.09 794.63 673.55 1093.03 793.12 2376.73 5584.45 4194.52 1069.09 5796.70 1584.37 2994.83 3194.03 26
HFP-MVS87.58 1587.47 1687.94 1394.58 773.54 1293.04 593.24 1876.78 5284.91 3294.44 1570.78 4196.61 1984.53 2694.89 2993.66 42
#test#87.33 2187.13 2187.94 1394.58 773.54 1292.34 1693.24 1875.23 8284.91 3294.44 1570.78 4196.61 1983.75 3494.89 2993.66 42
MCST-MVS87.37 2087.25 1887.73 2294.53 972.46 3489.82 5893.82 673.07 12984.86 3792.89 4876.22 796.33 2684.89 2295.13 2594.40 13
APDe-MVS89.15 389.63 387.73 2294.49 1071.69 4493.83 293.96 475.70 7291.06 596.03 176.84 597.03 889.09 295.65 1694.47 11
DP-MVS Recon83.11 7082.09 7586.15 5294.44 1170.92 5488.79 8892.20 5670.53 17279.17 9891.03 8464.12 9496.03 3468.39 16690.14 7691.50 109
XVS87.18 2386.91 2588.00 1094.42 1273.33 1792.78 992.99 2979.14 2183.67 5394.17 2267.45 6896.60 2183.06 3994.50 3694.07 24
X-MVStestdata80.37 12277.83 15688.00 1094.42 1273.33 1792.78 992.99 2979.14 2183.67 5312.47 35967.45 6896.60 2183.06 3994.50 3694.07 24
mPP-MVS86.67 3086.32 3187.72 2494.41 1473.55 1092.74 1192.22 5576.87 5082.81 6494.25 2066.44 7596.24 2982.88 4394.28 4293.38 55
NCCC88.06 988.01 1288.24 694.41 1473.62 891.22 3492.83 3681.50 785.79 2493.47 3673.02 2797.00 984.90 2094.94 2794.10 22
MP-MVScopyleft87.71 1387.64 1487.93 1694.36 1673.88 492.71 1392.65 4377.57 3583.84 5094.40 1872.24 3396.28 2885.65 1695.30 2493.62 49
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
HSP-MVS89.28 289.76 287.85 2094.28 1773.46 1592.90 892.73 4080.27 1391.35 494.16 2378.35 496.77 1289.59 194.22 4593.33 58
APD-MVScopyleft87.44 1787.52 1587.19 3394.24 1872.39 3591.86 2692.83 3673.01 13088.58 994.52 1073.36 2496.49 2484.26 3095.01 2692.70 75
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PGM-MVS86.68 2986.27 3287.90 1794.22 1973.38 1690.22 5293.04 2475.53 7683.86 4994.42 1767.87 6596.64 1882.70 4494.57 3593.66 42
CP-MVS87.11 2486.92 2487.68 2794.20 2073.86 593.98 192.82 3876.62 5783.68 5294.46 1467.93 6395.95 3884.20 3294.39 3993.23 60
SMA-MVS89.01 589.19 488.46 394.19 2173.73 792.40 1493.63 974.77 9192.29 195.82 274.28 1997.22 588.44 596.91 194.44 12
zzz-MVS87.53 1687.41 1787.90 1794.18 2274.25 290.23 5192.02 6279.45 1985.88 2194.80 768.07 6196.21 3086.69 1195.34 2093.23 60
MTAPA87.23 2287.00 2287.90 1794.18 2274.25 286.58 16892.02 6279.45 1985.88 2194.80 768.07 6196.21 3086.69 1195.34 2093.23 60
114514_t80.68 11179.51 11684.20 9294.09 2467.27 12289.64 6691.11 9958.75 30274.08 19990.72 8958.10 17495.04 6669.70 15489.42 8490.30 152
HPM-MVScopyleft87.11 2486.98 2387.50 3093.88 2572.16 3992.19 2193.33 1776.07 6983.81 5193.95 2969.77 5196.01 3585.15 1794.66 3394.32 18
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
ACMMP_Plus88.05 1188.08 1187.94 1393.70 2673.05 1990.86 3793.59 1076.27 6688.14 1095.09 671.06 3996.67 1687.67 796.37 594.09 23
HPM-MVS_fast85.35 5084.95 5186.57 4693.69 2770.58 5992.15 2391.62 8273.89 10582.67 6694.09 2662.60 12495.54 4580.93 5392.93 5193.57 50
TSAR-MVS + MP.88.02 1288.11 1087.72 2493.68 2872.13 4091.41 3092.35 5274.62 9388.90 893.85 3075.75 1096.00 3687.80 694.63 3495.04 2
MP-MVS-pluss87.67 1487.72 1387.54 2893.64 2972.04 4189.80 6093.50 1275.17 8586.34 1995.29 370.86 4096.00 3688.78 396.04 694.58 7
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMPcopyleft85.89 4285.39 4487.38 3193.59 3072.63 2992.74 1193.18 2276.78 5280.73 8793.82 3164.33 9296.29 2782.67 4590.69 7093.23 60
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
DeepC-MVS_fast79.65 386.91 2786.62 2887.76 2193.52 3172.37 3791.26 3193.04 2476.62 5784.22 4693.36 3871.44 3796.76 1380.82 5595.33 2294.16 20
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CDPH-MVS85.76 4385.29 4887.17 3493.49 3271.08 4888.58 9792.42 4968.32 21584.61 3993.48 3472.32 3296.15 3379.00 6595.43 1894.28 19
agg_prior386.16 3985.85 4087.10 3693.31 3372.86 2488.77 8991.68 8168.29 21684.26 4592.83 5072.83 2895.42 5084.97 1895.71 1393.02 69
DP-MVS76.78 20274.57 21883.42 11693.29 3469.46 8088.55 9883.70 24463.98 25970.20 24788.89 12554.01 20994.80 7746.66 30881.88 17786.01 283
CPTT-MVS83.73 5983.33 5984.92 7593.28 3570.86 5592.09 2490.38 11868.75 20379.57 9492.83 5060.60 16093.04 15680.92 5491.56 6290.86 125
TEST993.26 3672.96 2088.75 9191.89 7168.44 20885.00 3093.10 4274.36 1895.41 51
train_agg86.43 3386.20 3387.13 3593.26 3672.96 2088.75 9191.89 7168.69 20485.00 3093.10 4274.43 1595.41 5184.97 1895.71 1393.02 69
test_893.13 3872.57 3188.68 9491.84 7468.69 20484.87 3693.10 4274.43 1595.16 59
新几何183.42 11693.13 3870.71 5785.48 22857.43 31181.80 7491.98 5963.28 10092.27 17864.60 19692.99 5087.27 253
112180.84 10279.77 10784.05 9893.11 4070.78 5684.66 21985.42 22957.37 31281.76 7692.02 5863.41 9894.12 9767.28 17292.93 5187.26 254
AdaColmapbinary80.58 11579.42 11884.06 9793.09 4168.91 8889.36 6988.97 17369.27 19175.70 17589.69 10657.20 18495.77 4063.06 20388.41 9987.50 248
原ACMM184.35 8893.01 4268.79 8992.44 4663.96 26081.09 8391.57 6966.06 7995.45 4867.19 17494.82 3288.81 211
CSCG86.41 3586.19 3487.07 3792.91 4372.48 3390.81 3893.56 1173.95 10183.16 5891.07 8175.94 895.19 5879.94 6294.38 4093.55 51
agg_prior186.22 3886.09 3786.62 4492.85 4471.94 4288.59 9691.78 7768.96 20184.41 4293.18 4174.94 1194.93 6884.75 2595.33 2293.01 71
agg_prior92.85 4471.94 4291.78 7784.41 4294.93 68
MG-MVS83.41 6583.45 5783.28 12192.74 4662.28 22388.17 11289.50 15175.22 8381.49 7792.74 5466.75 7295.11 6172.85 12691.58 6192.45 83
APD-MVS_3200maxsize85.97 4085.88 3886.22 5192.69 4769.53 7791.93 2592.99 2973.54 11685.94 2094.51 1365.80 8295.61 4283.04 4192.51 5693.53 53
test1286.80 4092.63 4870.70 5891.79 7682.71 6571.67 3596.16 3294.50 3693.54 52
test_prior386.73 2886.86 2786.33 4892.61 4969.59 7588.85 8692.97 3275.41 7884.91 3293.54 3274.28 1995.48 4683.31 3595.86 993.91 31
test_prior86.33 4892.61 4969.59 7592.97 3295.48 4693.91 31
SD-MVS88.06 988.50 986.71 4292.60 5172.71 2591.81 2793.19 2177.87 3290.32 694.00 2874.83 1293.78 11687.63 894.27 4393.65 47
PAPM_NR83.02 7182.41 7084.82 7792.47 5266.37 13487.93 11991.80 7573.82 11077.32 13990.66 9067.90 6494.90 7270.37 14989.48 8393.19 64
DeepPCF-MVS80.84 188.10 888.56 886.73 4192.24 5369.03 8389.57 6793.39 1677.53 3989.79 794.12 2578.98 396.58 2385.66 1595.72 1294.58 7
abl_685.23 5184.95 5186.07 5492.23 5470.48 6090.80 3992.08 6073.51 11785.26 2794.16 2362.75 11795.92 3982.46 4791.30 6591.81 103
SteuartSystems-ACMMP88.72 788.86 788.32 592.14 5572.96 2093.73 393.67 880.19 1588.10 1194.80 773.76 2397.11 687.51 995.82 1194.90 4
Skip Steuart: Steuart Systems R&D Blog.
UA-Net85.08 5484.96 5085.45 6092.07 5668.07 10989.78 6190.86 10682.48 284.60 4093.20 4069.35 5595.22 5771.39 14490.88 6993.07 67
旧先验191.96 5765.79 14486.37 22093.08 4669.31 5692.74 5388.74 214
MSLP-MVS++85.43 4885.76 4284.45 8491.93 5870.24 6190.71 4092.86 3477.46 4184.22 4692.81 5367.16 7192.94 15980.36 5894.35 4190.16 155
LFMVS81.82 8681.23 8583.57 11391.89 5963.43 20489.84 5781.85 27477.04 4783.21 5693.10 4252.26 22193.43 13871.98 13989.95 7993.85 34
PLCcopyleft70.83 1178.05 17176.37 18283.08 13191.88 6067.80 11388.19 11189.46 15364.33 25569.87 25788.38 14053.66 21193.58 12858.86 23982.73 16787.86 240
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MVS_111021_HR85.14 5384.75 5386.32 5091.65 6172.70 2685.98 18490.33 12376.11 6882.08 7091.61 6871.36 3894.17 9681.02 5292.58 5592.08 96
test22291.50 6268.26 10584.16 23583.20 25654.63 32379.74 9291.63 6758.97 16991.42 6386.77 265
TSAR-MVS + GP.85.71 4485.33 4586.84 3991.34 6372.50 3289.07 8087.28 21076.41 5985.80 2390.22 9774.15 2295.37 5581.82 4891.88 5892.65 78
MAR-MVS81.84 8580.70 9285.27 6491.32 6471.53 4689.82 5890.92 10369.77 18278.50 10786.21 21262.36 13194.52 8365.36 18892.05 5789.77 184
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
DeepC-MVS79.81 287.08 2686.88 2687.69 2691.16 6572.32 3890.31 4993.94 577.12 4482.82 6294.23 2172.13 3497.09 784.83 2395.37 1993.65 47
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+77.84 485.48 4684.47 5488.51 291.08 6673.49 1493.18 493.78 780.79 1176.66 15093.37 3760.40 16496.75 1477.20 8393.73 4895.29 1
Anonymous20240521178.25 16477.01 17181.99 17091.03 6760.67 23584.77 21783.90 24270.65 17180.00 9191.20 7741.08 31491.43 21065.21 18985.26 13393.85 34
VDD-MVS83.01 7282.36 7284.96 7291.02 6866.40 13388.91 8388.11 19477.57 3584.39 4493.29 3952.19 22293.91 10777.05 8688.70 9194.57 9
API-MVS81.99 8381.23 8584.26 9190.94 6970.18 6791.10 3589.32 15671.51 15978.66 10588.28 14365.26 8595.10 6464.74 19591.23 6687.51 247
testdata79.97 21390.90 7064.21 18784.71 23459.27 29785.40 2592.91 4762.02 13789.08 26068.95 16191.37 6486.63 269
PHI-MVS86.43 3386.17 3587.24 3290.88 7170.96 5092.27 1894.07 372.45 14185.22 2891.90 6169.47 5496.42 2583.28 3795.94 894.35 15
VNet82.21 7982.41 7081.62 18490.82 7260.93 23184.47 22589.78 14476.36 6484.07 4891.88 6264.71 9090.26 23470.68 14688.89 8793.66 42
PVSNet_Blended_VisFu82.62 7581.83 8084.96 7290.80 7369.76 7188.74 9391.70 8069.39 18778.96 10088.46 13865.47 8494.87 7474.42 11088.57 9490.24 153
Anonymous2024052980.19 12778.89 13484.10 9590.60 7464.75 16988.95 8290.90 10465.97 23980.59 8891.17 7849.97 26393.73 12569.16 16082.70 16993.81 37
Anonymous2023121178.97 15477.69 16182.81 15190.54 7564.29 18690.11 5491.51 8765.01 24876.16 16788.13 14950.56 25793.03 15769.68 15577.56 22491.11 118
LS3D76.95 20074.82 21683.37 11990.45 7667.36 12189.15 7886.94 21361.87 27869.52 26090.61 9151.71 23894.53 8246.38 31186.71 11988.21 233
VDDNet81.52 9180.67 9384.05 9890.44 7764.13 18989.73 6385.91 22671.11 16283.18 5793.48 3450.54 25893.49 13373.40 12288.25 10094.54 10
CNLPA78.08 17076.79 17681.97 17190.40 7871.07 4987.59 12584.55 23666.03 23872.38 22289.64 10857.56 17886.04 28959.61 23283.35 15988.79 212
PAPR81.66 8980.89 9183.99 10390.27 7964.00 19386.76 16491.77 7968.84 20277.13 14689.50 11167.63 6694.88 7367.55 16988.52 9793.09 66
Vis-MVSNetpermissive83.46 6482.80 6885.43 6190.25 8068.74 9390.30 5090.13 13276.33 6580.87 8692.89 4861.00 15394.20 9372.45 13390.97 6793.35 57
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS_030486.37 3785.81 4188.02 990.13 8172.39 3589.66 6592.75 3981.64 682.66 6792.04 5764.44 9197.35 384.76 2494.25 4494.33 17
EPP-MVSNet83.40 6683.02 6484.57 8090.13 8164.47 18292.32 1790.73 10774.45 9579.35 9791.10 7969.05 5895.12 6072.78 12787.22 11194.13 21
CANet86.45 3286.10 3687.51 2990.09 8370.94 5289.70 6492.59 4481.78 481.32 7891.43 7470.34 4497.23 484.26 3093.36 4994.37 14
HQP_MVS83.64 6183.14 6185.14 6790.08 8468.71 9591.25 3292.44 4679.12 2378.92 10191.00 8560.42 16295.38 5378.71 6886.32 12591.33 112
plane_prior790.08 8468.51 101
CHOSEN 1792x268877.63 18575.69 19883.44 11589.98 8668.58 10078.70 29187.50 20756.38 31775.80 17086.84 18258.67 17091.40 21161.58 21885.75 13290.34 151
IS-MVSNet83.15 6882.81 6784.18 9389.94 8763.30 20691.59 2888.46 19179.04 2579.49 9592.16 5565.10 8794.28 8867.71 16791.86 5994.95 3
plane_prior189.90 88
canonicalmvs85.91 4185.87 3986.04 5689.84 8969.44 8190.45 4793.00 2776.70 5688.01 1391.23 7673.28 2593.91 10781.50 5188.80 8994.77 5
plane_prior689.84 8968.70 9760.42 162
view60076.20 21475.21 21079.16 23189.64 9155.82 29285.74 19482.06 26973.88 10675.74 17187.85 15351.84 23391.66 20246.75 30483.42 15590.00 166
view80076.20 21475.21 21079.16 23189.64 9155.82 29285.74 19482.06 26973.88 10675.74 17187.85 15351.84 23391.66 20246.75 30483.42 15590.00 166
conf0.05thres100076.20 21475.21 21079.16 23189.64 9155.82 29285.74 19482.06 26973.88 10675.74 17187.85 15351.84 23391.66 20246.75 30483.42 15590.00 166
tfpn76.20 21475.21 21079.16 23189.64 9155.82 29285.74 19482.06 26973.88 10675.74 17187.85 15351.84 23391.66 20246.75 30483.42 15590.00 166
NP-MVS89.62 9568.32 10390.24 95
HyFIR lowres test77.53 18675.40 20683.94 10689.59 9666.62 13080.36 27488.64 18756.29 31876.45 15385.17 23957.64 17793.28 14161.34 22183.10 16391.91 99
TAPA-MVS73.13 979.15 14977.94 15482.79 15489.59 9662.99 21688.16 11391.51 8765.77 24077.14 14591.09 8060.91 15493.21 14350.26 28587.05 11392.17 94
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
tfpn11176.54 20575.51 20379.61 22189.52 9856.99 27285.83 18983.23 25273.94 10276.32 15887.12 17651.89 22992.06 18348.04 30083.73 15189.78 180
conf200view1176.55 20475.55 20179.57 22489.52 9856.99 27285.83 18983.23 25273.94 10276.32 15887.12 17651.89 22991.95 18548.33 29383.75 14789.78 180
thres100view90076.50 20775.55 20179.33 22689.52 9856.99 27285.83 18983.23 25273.94 10276.32 15887.12 17651.89 22991.95 18548.33 29383.75 14789.07 194
alignmvs85.48 4685.32 4685.96 5789.51 10169.47 7989.74 6292.47 4576.17 6787.73 1591.46 7370.32 4593.78 11681.51 5088.95 8694.63 6
PS-MVSNAJ81.69 8781.02 9083.70 10989.51 10168.21 10784.28 23490.09 13370.79 16681.26 8285.62 23163.15 10594.29 8775.62 10188.87 8888.59 223
ACMP74.13 681.51 9380.57 9484.36 8789.42 10368.69 9889.97 5691.50 9074.46 9475.04 19290.41 9353.82 21094.54 8177.56 7982.91 16489.86 176
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
thres600view776.50 20775.44 20479.68 21889.40 10457.16 26985.53 20483.23 25273.79 11176.26 16187.09 17951.89 22991.89 18948.05 29983.72 15290.00 166
BH-RMVSNet79.61 13978.44 14483.14 12889.38 10565.93 14084.95 21487.15 21173.56 11578.19 12389.79 10556.67 18793.36 13959.53 23486.74 11890.13 157
Regformer-186.41 3586.33 3086.64 4389.33 10670.93 5388.43 9991.39 9282.14 386.65 1890.09 9974.39 1795.01 6783.97 3390.63 7193.97 30
Regformer-286.63 3186.53 2986.95 3889.33 10671.24 4788.43 9992.05 6182.50 186.88 1790.09 9974.45 1495.61 4284.38 2890.63 7194.01 28
HQP-NCC89.33 10689.17 7476.41 5977.23 142
ACMP_Plane89.33 10689.17 7476.41 5977.23 142
HQP-MVS82.61 7682.02 7784.37 8689.33 10666.98 12689.17 7492.19 5776.41 5977.23 14290.23 9660.17 16595.11 6177.47 8085.99 12991.03 119
ACMM73.20 880.78 11079.84 10683.58 11289.31 11168.37 10289.99 5591.60 8370.28 17677.25 14089.66 10753.37 21393.53 13274.24 11382.85 16588.85 209
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Test_1112_low_res76.40 21175.44 20479.27 22789.28 11258.09 25481.69 26487.07 21259.53 29572.48 21486.67 19261.30 14689.33 24960.81 22580.15 19890.41 149
F-COLMAP76.38 21274.33 22382.50 16189.28 11266.95 12988.41 10289.03 16564.05 25766.83 28888.61 13346.78 28292.89 16057.48 25278.55 21487.67 243
LPG-MVS_test82.08 8081.27 8484.50 8289.23 11468.76 9190.22 5291.94 6975.37 8076.64 15191.51 7054.29 20594.91 7078.44 7083.78 14589.83 177
LGP-MVS_train84.50 8289.23 11468.76 9191.94 6975.37 8076.64 15191.51 7054.29 20594.91 7078.44 7083.78 14589.83 177
BH-untuned79.47 14378.60 13882.05 16889.19 11665.91 14186.07 18388.52 19072.18 14975.42 17987.69 15961.15 15093.54 13160.38 22686.83 11786.70 267
xiu_mvs_v2_base81.69 8781.05 8983.60 11189.15 11768.03 11084.46 22790.02 13770.67 16981.30 8186.53 20263.17 10494.19 9475.60 10288.54 9688.57 225
0601test81.17 9780.47 9783.24 12489.13 11863.62 19686.21 17989.95 13972.43 14481.78 7589.61 10957.50 17993.58 12870.75 14586.90 11692.52 81
tfpn200view976.42 21075.37 20779.55 22589.13 11857.65 26485.17 20883.60 24573.41 11976.45 15386.39 20552.12 22391.95 18548.33 29383.75 14789.07 194
thres40076.50 20775.37 20779.86 21489.13 11857.65 26485.17 20883.60 24573.41 11976.45 15386.39 20552.12 22391.95 18548.33 29383.75 14790.00 166
1112_ss77.40 19576.43 18080.32 20789.11 12160.41 23883.65 24287.72 20362.13 27673.05 20786.72 18662.58 12689.97 23862.11 21380.80 18890.59 139
Regformer-385.23 5185.07 4985.70 5988.95 12269.01 8588.29 10889.91 14280.95 985.01 2990.01 10272.45 3194.19 9482.50 4687.57 10493.90 33
Regformer-485.68 4585.45 4386.35 4788.95 12269.67 7388.29 10891.29 9481.73 585.36 2690.01 10272.62 3095.35 5683.28 3787.57 10494.03 26
Fast-Effi-MVS+80.81 10579.92 10483.47 11488.85 12464.51 17685.53 20489.39 15470.79 16678.49 10885.06 24267.54 6793.58 12867.03 17786.58 12192.32 87
PVSNet_BlendedMVS80.60 11380.02 10282.36 16488.85 12465.40 15086.16 18092.00 6569.34 19078.11 12586.09 21566.02 8094.27 8971.52 14282.06 17487.39 249
PVSNet_Blended80.98 9980.34 9882.90 14388.85 12465.40 15084.43 22992.00 6567.62 22178.11 12585.05 24366.02 8094.27 8971.52 14289.50 8289.01 203
MVS_111021_LR82.61 7682.11 7484.11 9488.82 12771.58 4585.15 21086.16 22374.69 9280.47 8991.04 8262.29 13290.55 23280.33 5990.08 7790.20 154
BH-w/o78.21 16677.33 16780.84 19988.81 12865.13 16084.87 21587.85 20169.75 18374.52 19784.74 24961.34 14593.11 15158.24 24785.84 13184.27 300
FIs82.07 8182.42 6981.04 19788.80 12958.34 25288.26 11093.49 1376.93 4978.47 10991.04 8269.92 4992.34 17769.87 15384.97 13592.44 84
OPM-MVS83.50 6382.95 6585.14 6788.79 13070.95 5189.13 7991.52 8677.55 3880.96 8591.75 6360.71 15694.50 8479.67 6386.51 12389.97 173
WR-MVS79.49 14279.22 12980.27 20988.79 13058.35 25185.06 21288.61 18978.56 2977.65 13388.34 14163.81 9790.66 23164.98 19377.22 22991.80 104
OMC-MVS82.69 7481.97 7984.85 7688.75 13267.42 11887.98 11590.87 10574.92 8979.72 9391.65 6562.19 13593.96 10275.26 10686.42 12493.16 65
ACMH67.68 1675.89 22173.93 22681.77 17588.71 13366.61 13188.62 9589.01 16869.81 18166.78 28986.70 19141.95 31191.51 20955.64 26278.14 22087.17 256
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Vis-MVSNet (Re-imp)78.36 16378.45 14278.07 25288.64 13451.78 32086.70 16579.63 29574.14 9975.11 19090.83 8861.29 14789.75 24158.10 24891.60 6092.69 77
PatchMatch-RL72.38 26170.90 26076.80 26988.60 13567.38 12079.53 28176.17 31862.75 27069.36 26382.00 27845.51 29284.89 29753.62 27180.58 19178.12 331
ACMH+68.96 1476.01 22074.01 22582.03 16988.60 13565.31 15588.86 8587.55 20570.25 17767.75 27987.47 16641.27 31293.19 14658.37 24475.94 25287.60 245
LTVRE_ROB69.57 1376.25 21374.54 22081.41 18988.60 13564.38 18579.24 28489.12 16470.76 16869.79 25987.86 15249.09 27193.20 14556.21 26180.16 19786.65 268
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
DELS-MVS85.41 4985.30 4785.77 5888.49 13867.93 11185.52 20693.44 1478.70 2883.63 5589.03 12474.57 1395.71 4180.26 6094.04 4693.66 42
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
casdiffmvs83.96 5683.25 6086.07 5488.48 13969.60 7489.26 7292.40 5068.07 21782.82 6290.03 10169.77 5194.86 7581.79 4986.64 12093.75 39
CLD-MVS82.31 7881.65 8184.29 9088.47 14067.73 11585.81 19392.35 5275.78 7078.33 11586.58 19964.01 9594.35 8676.05 9387.48 10990.79 126
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
UniMVSNet_NR-MVSNet81.88 8481.54 8282.92 14288.46 14163.46 20287.13 14892.37 5180.19 1578.38 11389.14 12171.66 3693.05 15470.05 15076.46 24792.25 90
ab-mvs79.51 14178.97 13381.14 19588.46 14160.91 23283.84 24089.24 16170.36 17479.03 9988.87 12663.23 10390.21 23665.12 19082.57 17192.28 89
FC-MVSNet-test81.52 9182.02 7780.03 21288.42 14355.97 29187.95 11793.42 1577.10 4577.38 13790.98 8769.96 4891.79 19168.46 16584.50 13992.33 86
Effi-MVS+83.62 6283.08 6285.24 6588.38 14467.45 11788.89 8489.15 16375.50 7782.27 6888.28 14369.61 5394.45 8577.81 7787.84 10293.84 36
UniMVSNet (Re)81.60 9081.11 8883.09 13088.38 14464.41 18487.60 12493.02 2678.42 3178.56 10688.16 14569.78 5093.26 14269.58 15676.49 24691.60 105
VPNet78.69 15878.66 13778.76 24088.31 14655.72 29784.45 22886.63 21676.79 5178.26 12190.55 9259.30 16789.70 24366.63 17877.05 23190.88 124
TR-MVS77.44 19376.18 18981.20 19388.24 14763.24 20884.61 22386.40 21967.55 22377.81 13086.48 20454.10 20793.15 14857.75 25182.72 16887.20 255
EI-MVSNet-Vis-set84.19 5583.81 5585.31 6288.18 14867.85 11287.66 12389.73 14680.05 1782.95 5989.59 11070.74 4394.82 7680.66 5784.72 13893.28 59
test_040272.79 25970.44 26279.84 21588.13 14965.99 13985.93 18684.29 23865.57 24367.40 28485.49 23446.92 28192.61 16835.88 33874.38 27280.94 323
VPA-MVSNet80.60 11380.55 9580.76 20188.07 15060.80 23486.86 15891.58 8475.67 7380.24 9089.45 11763.34 9990.25 23570.51 14879.22 21391.23 115
UGNet80.83 10479.59 11284.54 8188.04 15168.09 10889.42 6888.16 19376.95 4876.22 16289.46 11549.30 26993.94 10468.48 16490.31 7391.60 105
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
WR-MVS_H78.51 16078.49 14178.56 24388.02 15256.38 28588.43 9992.67 4177.14 4373.89 20087.55 16366.25 7689.24 25158.92 23873.55 28090.06 164
QAPM80.88 10079.50 11785.03 7088.01 15368.97 8791.59 2892.00 6566.63 23175.15 18992.16 5557.70 17695.45 4863.52 19988.76 9090.66 134
3Dnovator76.31 583.38 6782.31 7386.59 4587.94 15472.94 2390.64 4192.14 5977.21 4275.47 17692.83 5058.56 17194.72 7973.24 12492.71 5492.13 95
EI-MVSNet-UG-set83.81 5883.38 5885.09 6987.87 15567.53 11687.44 13589.66 14779.74 1882.23 6989.41 11970.24 4694.74 7879.95 6183.92 14492.99 72
conf0.0173.67 24072.42 24077.42 26187.85 15653.28 31183.38 24679.08 29868.40 20972.45 21586.08 21650.60 25189.19 25244.25 31979.66 20189.78 180
conf0.00273.67 24072.42 24077.42 26187.85 15653.28 31183.38 24679.08 29868.40 20972.45 21586.08 21650.60 25189.19 25244.25 31979.66 20189.78 180
thresconf0.0273.39 24672.42 24076.31 27287.85 15653.28 31183.38 24679.08 29868.40 20972.45 21586.08 21650.60 25189.19 25244.25 31979.66 20186.48 270
tfpn_n40073.39 24672.42 24076.31 27287.85 15653.28 31183.38 24679.08 29868.40 20972.45 21586.08 21650.60 25189.19 25244.25 31979.66 20186.48 270
tfpnconf73.39 24672.42 24076.31 27287.85 15653.28 31183.38 24679.08 29868.40 20972.45 21586.08 21650.60 25189.19 25244.25 31979.66 20186.48 270
tfpnview1173.39 24672.42 24076.31 27287.85 15653.28 31183.38 24679.08 29868.40 20972.45 21586.08 21650.60 25189.19 25244.25 31979.66 20186.48 270
TranMVSNet+NR-MVSNet80.84 10280.31 9982.42 16287.85 15662.33 22187.74 12291.33 9380.55 1277.99 12889.86 10465.23 8692.62 16767.05 17675.24 26592.30 88
CP-MVSNet78.22 16578.34 14777.84 25487.83 16354.54 30287.94 11891.17 9877.65 3373.48 20288.49 13762.24 13488.43 27162.19 21074.07 27390.55 143
tfpn100073.44 24572.49 23876.29 27687.81 16453.69 30884.05 23978.81 30567.99 21972.09 22886.27 21149.95 26489.04 26144.09 32581.38 18186.15 278
DU-MVS81.12 9880.52 9682.90 14387.80 16563.46 20287.02 15391.87 7379.01 2678.38 11389.07 12265.02 8893.05 15470.05 15076.46 24792.20 92
NR-MVSNet80.23 12579.38 12082.78 15587.80 16563.34 20586.31 17691.09 10079.01 2672.17 22489.07 12267.20 7092.81 16566.08 18375.65 25692.20 92
TAMVS78.89 15677.51 16483.03 13487.80 16567.79 11484.72 21885.05 23367.63 22076.75 14887.70 15862.25 13390.82 22858.53 24387.13 11290.49 145
tfpn_ndepth73.70 23872.75 23576.52 27087.78 16854.92 30084.32 23380.28 29067.57 22272.50 21284.82 24650.12 26189.44 24845.73 31481.66 17985.20 290
thres20075.55 22574.47 22178.82 23987.78 16857.85 26183.07 25483.51 24872.44 14375.84 16984.42 25152.08 22591.75 19447.41 30283.64 15386.86 263
PS-CasMVS78.01 17378.09 15177.77 25687.71 17054.39 30488.02 11491.22 9577.50 4073.26 20488.64 13260.73 15588.41 27261.88 21473.88 27790.53 144
PCF-MVS73.52 780.38 12178.84 13585.01 7187.71 17068.99 8683.65 24291.46 9163.00 26577.77 13290.28 9466.10 7795.09 6561.40 21988.22 10190.94 123
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
GBi-Net78.40 16177.40 16581.40 19087.60 17263.01 21388.39 10389.28 15771.63 15575.34 18287.28 16854.80 19791.11 21962.72 20479.57 20790.09 160
test178.40 16177.40 16581.40 19087.60 17263.01 21388.39 10389.28 15771.63 15575.34 18287.28 16854.80 19791.11 21962.72 20479.57 20790.09 160
FMVSNet278.20 16777.21 16881.20 19387.60 17262.89 21787.47 13489.02 16671.63 15575.29 18687.28 16854.80 19791.10 22262.38 20879.38 21089.61 188
CDS-MVSNet79.07 15177.70 16083.17 12687.60 17268.23 10684.40 23186.20 22267.49 22476.36 15786.54 20161.54 14190.79 22961.86 21587.33 11090.49 145
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
HY-MVS69.67 1277.95 17577.15 16980.36 20587.57 17660.21 23983.37 25387.78 20266.11 23575.37 18187.06 18163.27 10190.48 23361.38 22082.43 17290.40 150
xiu_mvs_v1_base_debu80.80 10779.72 10984.03 10087.35 17770.19 6485.56 19988.77 18269.06 19681.83 7188.16 14550.91 24592.85 16178.29 7487.56 10689.06 196
xiu_mvs_v1_base80.80 10779.72 10984.03 10087.35 17770.19 6485.56 19988.77 18269.06 19681.83 7188.16 14550.91 24592.85 16178.29 7487.56 10689.06 196
xiu_mvs_v1_base_debi80.80 10779.72 10984.03 10087.35 17770.19 6485.56 19988.77 18269.06 19681.83 7188.16 14550.91 24592.85 16178.29 7487.56 10689.06 196
MVSFormer82.85 7382.05 7685.24 6587.35 17770.21 6290.50 4490.38 11868.55 20681.32 7889.47 11361.68 13893.46 13478.98 6690.26 7492.05 97
lupinMVS81.39 9580.27 10184.76 7887.35 17770.21 6285.55 20286.41 21862.85 26881.32 7888.61 13361.68 13892.24 18078.41 7290.26 7491.83 101
PAPM77.68 18276.40 18181.51 18787.29 18261.85 22783.78 24189.59 14864.74 25071.23 23688.70 12962.59 12593.66 12752.66 27587.03 11489.01 203
LCM-MVSNet-Re77.05 19776.94 17377.36 26387.20 18351.60 32180.06 27680.46 28675.20 8467.69 28086.72 18662.48 12988.98 26363.44 20089.25 8591.51 108
COLMAP_ROBcopyleft66.92 1773.01 25670.41 26380.81 20087.13 18465.63 14588.30 10784.19 24062.96 26663.80 30987.69 15938.04 32592.56 17046.66 30874.91 26784.24 301
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PEN-MVS77.73 18077.69 16177.84 25487.07 18553.91 30687.91 12091.18 9777.56 3773.14 20688.82 12761.23 14889.17 25859.95 22972.37 28690.43 148
pcd1.5k->3k34.07 33235.26 33230.50 34786.92 1860.00 3680.00 36091.58 840.00 3630.00 3640.00 36556.23 1890.00 3660.00 36382.60 17091.49 110
MVS_Test83.15 6883.06 6383.41 11886.86 18763.21 20986.11 18292.00 6574.31 9682.87 6189.44 11870.03 4793.21 14377.39 8288.50 9893.81 37
FMVSNet377.88 17876.85 17480.97 19886.84 18862.36 22086.52 17088.77 18271.13 16175.34 18286.66 19354.07 20891.10 22262.72 20479.57 20789.45 190
FMVSNet177.44 19376.12 19081.40 19086.81 18963.01 21388.39 10389.28 15770.49 17374.39 19887.28 16849.06 27291.11 21960.91 22378.52 21590.09 160
nrg03083.88 5783.53 5684.96 7286.77 19069.28 8290.46 4692.67 4174.79 9082.95 5991.33 7572.70 2993.09 15280.79 5679.28 21292.50 82
Anonymous2024052176.96 19976.26 18879.07 23586.63 19156.37 28687.57 12691.09 10072.19 14871.23 23688.10 15054.30 20491.20 21858.34 24576.89 23689.65 187
jason81.39 9580.29 10084.70 7986.63 19169.90 6985.95 18586.77 21463.24 26281.07 8489.47 11361.08 15292.15 18178.33 7390.07 7892.05 97
jason: jason.
PS-MVSNAJss82.07 8181.31 8384.34 8986.51 19367.27 12289.27 7191.51 8771.75 15379.37 9690.22 9763.15 10594.27 8977.69 7882.36 17391.49 110
WTY-MVS75.65 22475.68 19975.57 28386.40 19456.82 27677.92 29882.40 26365.10 24676.18 16487.72 15763.13 10880.90 31260.31 22781.96 17589.00 205
DTE-MVSNet76.99 19876.80 17577.54 26086.24 19553.06 31787.52 13290.66 11077.08 4672.50 21288.67 13160.48 16189.52 24557.33 25570.74 29790.05 165
PVSNet64.34 1872.08 26370.87 26175.69 28186.21 19656.44 28374.37 31680.73 28262.06 27770.17 24982.23 27242.86 30483.31 30554.77 26684.45 14187.32 252
tfpnnormal74.39 23273.16 23278.08 25186.10 19758.05 25584.65 22287.53 20670.32 17571.22 23885.63 23054.97 19689.86 23943.03 32875.02 26686.32 275
IterMVS-LS80.06 13179.38 12082.11 16785.89 19863.20 21086.79 16189.34 15574.19 9775.45 17886.72 18666.62 7392.39 17472.58 13176.86 23890.75 128
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Baseline_NR-MVSNet78.15 16978.33 14877.61 25885.79 19956.21 28986.78 16285.76 22773.60 11477.93 12987.57 16265.02 8888.99 26267.14 17575.33 26287.63 244
cascas76.72 20374.64 21782.99 13685.78 20065.88 14282.33 25889.21 16260.85 28472.74 20981.02 29147.28 27993.75 12067.48 17085.02 13489.34 191
MVS78.19 16876.99 17281.78 17485.66 20166.99 12584.66 21990.47 11655.08 32272.02 22985.27 23863.83 9694.11 9966.10 18289.80 8084.24 301
XVG-OURS80.41 11779.23 12883.97 10485.64 20269.02 8483.03 25590.39 11771.09 16377.63 13491.49 7254.62 20391.35 21375.71 9983.47 15491.54 107
CANet_DTU80.61 11279.87 10582.83 14985.60 20363.17 21287.36 13688.65 18676.37 6375.88 16888.44 13953.51 21293.07 15373.30 12389.74 8192.25 90
XVG-OURS-SEG-HR80.81 10579.76 10883.96 10585.60 20368.78 9083.54 24590.50 11570.66 17076.71 14991.66 6460.69 15791.26 21576.94 8781.58 18091.83 101
TransMVSNet (Re)75.39 22874.56 21977.86 25385.50 20557.10 27186.78 16286.09 22572.17 15071.53 23487.34 16763.01 10989.31 25056.84 25861.83 32987.17 256
MVP-Stereo76.12 21874.46 22281.13 19685.37 20669.79 7084.42 23087.95 19965.03 24767.46 28285.33 23753.28 21491.73 19558.01 24983.27 16081.85 320
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
OpenMVScopyleft72.83 1079.77 13778.33 14884.09 9685.17 20769.91 6890.57 4290.97 10266.70 22772.17 22491.91 6054.70 20193.96 10261.81 21690.95 6888.41 231
AllTest70.96 26968.09 27979.58 22285.15 20863.62 19684.58 22479.83 29362.31 27460.32 31986.73 18432.02 33688.96 26550.28 28371.57 29386.15 278
TestCases79.58 22285.15 20863.62 19679.83 29362.31 27460.32 31986.73 18432.02 33688.96 26550.28 28371.57 29386.15 278
Effi-MVS+-dtu80.03 13278.57 14084.42 8585.13 21068.74 9388.77 8988.10 19574.99 8674.97 19383.49 26157.27 18193.36 13973.53 12080.88 18691.18 116
mvs-test180.88 10079.40 11985.29 6385.13 21069.75 7289.28 7088.10 19574.99 8676.44 15686.72 18657.27 18194.26 9273.53 12083.18 16291.87 100
SixPastTwentyTwo73.37 25071.26 25779.70 21785.08 21257.89 26085.57 19883.56 24771.03 16465.66 29685.88 22342.10 30992.57 16959.11 23763.34 32688.65 216
EG-PatchMatch MVS74.04 23571.82 25180.71 20284.92 21367.42 11885.86 18888.08 19766.04 23764.22 30683.85 25535.10 33492.56 17057.44 25380.83 18782.16 319
IB-MVS68.01 1575.85 22273.36 23083.31 12084.76 21466.03 13783.38 24685.06 23270.21 17869.40 26181.05 29045.76 29094.66 8065.10 19175.49 25989.25 193
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
mvs_tets79.13 15077.77 15983.22 12584.70 21566.37 13489.17 7490.19 13069.38 18975.40 18089.46 11544.17 29793.15 14876.78 9080.70 19090.14 156
jajsoiax79.29 14777.96 15383.27 12284.68 21666.57 13289.25 7390.16 13169.20 19375.46 17789.49 11245.75 29193.13 15076.84 8980.80 18890.11 158
MIMVSNet70.69 27169.30 26774.88 28984.52 21756.35 28775.87 30879.42 29664.59 25167.76 27882.41 26941.10 31381.54 31146.64 31081.34 18286.75 266
MSDG73.36 25270.99 25980.49 20384.51 21865.80 14380.71 27186.13 22465.70 24165.46 29783.74 25844.60 29490.91 22751.13 28076.89 23684.74 297
mvs_anonymous79.42 14579.11 13080.34 20684.45 21957.97 25882.59 25687.62 20467.40 22676.17 16688.56 13668.47 6089.59 24470.65 14786.05 12893.47 54
EI-MVSNet80.52 11679.98 10382.12 16684.28 22063.19 21186.41 17388.95 17574.18 9878.69 10387.54 16466.62 7392.43 17272.57 13280.57 19290.74 129
CVMVSNet72.99 25772.58 23774.25 29584.28 22050.85 32686.41 17383.45 25044.56 34273.23 20587.54 16449.38 26785.70 29165.90 18478.44 21786.19 277
v1377.50 19176.07 19581.77 17584.23 22265.07 16187.34 13788.91 18072.92 13168.35 27681.97 27962.53 12891.69 20172.20 13866.22 32088.56 226
pm-mvs177.25 19676.68 17778.93 23784.22 22358.62 24986.41 17388.36 19271.37 16073.31 20388.01 15161.22 14989.15 25964.24 19773.01 28289.03 202
v1277.51 18976.09 19481.76 17784.22 22364.99 16287.30 14088.93 17972.92 13168.48 27581.97 27962.54 12791.70 20072.24 13766.21 32188.58 224
v1177.45 19276.06 19681.59 18684.22 22364.52 17487.11 15089.02 16672.76 13668.76 26981.90 28462.09 13691.71 19971.98 13966.73 31288.56 226
EPNet83.72 6082.92 6686.14 5384.22 22369.48 7891.05 3685.27 23081.30 876.83 14791.65 6566.09 7895.56 4476.00 9493.85 4793.38 55
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
V977.52 18776.11 19381.73 17884.19 22764.89 16587.26 14288.94 17872.87 13468.65 27181.96 28162.65 12391.72 19772.27 13666.24 31988.60 221
v1777.68 18276.35 18681.69 18084.15 22864.65 17187.33 13888.99 17072.70 13869.25 26682.07 27562.82 11591.79 19172.69 13067.15 31188.63 217
v1677.69 18176.36 18581.68 18184.15 22864.63 17387.33 13888.99 17072.69 13969.31 26582.08 27462.80 11691.79 19172.70 12967.23 30988.63 217
V1477.52 18776.12 19081.70 17984.15 22864.77 16887.21 14488.95 17572.80 13568.79 26881.94 28262.69 12091.72 19772.31 13566.27 31888.60 221
v1neww80.40 11879.54 11382.98 13784.10 23164.51 17687.57 12690.22 12773.25 12278.47 10986.65 19462.83 11393.86 11075.72 9777.02 23290.58 140
v7new80.40 11879.54 11382.98 13784.10 23164.51 17687.57 12690.22 12773.25 12278.47 10986.65 19462.83 11393.86 11075.72 9777.02 23290.58 140
v1877.67 18476.35 18681.64 18384.09 23364.47 18287.27 14189.01 16872.59 14069.39 26282.04 27662.85 11191.80 19072.72 12867.20 31088.63 217
v1577.51 18976.12 19081.66 18284.09 23364.65 17187.14 14588.96 17472.76 13668.90 26781.91 28362.74 11891.73 19572.32 13466.29 31788.61 220
v879.97 13479.02 13282.80 15284.09 23364.50 18087.96 11690.29 12674.13 10075.24 18786.81 18362.88 11093.89 10974.39 11175.40 26190.00 166
v680.40 11879.54 11382.98 13784.09 23364.50 18087.57 12690.22 12773.25 12278.47 10986.63 19662.84 11293.86 11075.73 9677.02 23290.58 140
v780.24 12479.26 12783.15 12784.07 23764.94 16487.56 13090.67 10872.26 14778.28 11786.51 20361.45 14394.03 10175.14 10777.41 22690.49 145
v1079.74 13878.67 13682.97 14184.06 23864.95 16387.88 12190.62 11173.11 12875.11 19086.56 20061.46 14294.05 10073.68 11675.55 25889.90 174
Patchmatch-test173.49 24371.85 25078.41 24784.05 23962.17 22479.96 27879.29 29766.30 23472.38 22279.58 30351.95 22885.08 29655.46 26377.67 22387.99 236
test_djsdf80.30 12379.32 12283.27 12283.98 24065.37 15390.50 4490.38 11868.55 20676.19 16388.70 12956.44 18893.46 13478.98 6680.14 19990.97 122
131476.53 20675.30 20980.21 21083.93 24162.32 22284.66 21988.81 18160.23 28870.16 25084.07 25455.30 19590.73 23067.37 17183.21 16187.59 246
MS-PatchMatch73.83 23772.67 23677.30 26583.87 24266.02 13881.82 26184.66 23561.37 28268.61 27382.82 26647.29 27888.21 27359.27 23584.32 14277.68 333
v114180.19 12779.31 12382.85 14683.84 24364.12 19087.14 14590.08 13473.13 12578.27 11886.39 20562.67 12293.75 12075.40 10476.83 24190.68 131
divwei89l23v2f11280.19 12779.31 12382.85 14683.84 24364.11 19287.13 14890.08 13473.13 12578.27 11886.39 20562.69 12093.75 12075.40 10476.82 24290.68 131
v180.19 12779.31 12382.85 14683.83 24564.12 19087.14 14590.07 13673.13 12578.27 11886.38 20962.72 11993.75 12075.41 10376.82 24290.68 131
v114480.03 13279.03 13183.01 13583.78 24664.51 17687.11 15090.57 11371.96 15278.08 12786.20 21361.41 14493.94 10474.93 10877.23 22890.60 137
OurMVSNet-221017-074.26 23472.42 24079.80 21683.76 24759.59 24185.92 18786.64 21566.39 23366.96 28787.58 16139.46 31991.60 20765.76 18669.27 30188.22 232
v2v48280.23 12579.29 12683.05 13383.62 24864.14 18887.04 15289.97 13873.61 11378.18 12487.22 17261.10 15193.82 11376.11 9276.78 24491.18 116
XXY-MVS75.41 22775.56 20074.96 28883.59 24957.82 26280.59 27383.87 24366.54 23274.93 19488.31 14263.24 10280.09 31662.16 21176.85 23986.97 261
v119279.59 14078.43 14583.07 13283.55 25064.52 17486.93 15690.58 11270.83 16577.78 13185.90 22259.15 16893.94 10473.96 11577.19 23090.76 127
tpmp4_e2373.45 24471.17 25880.31 20883.55 25059.56 24381.88 26082.33 26457.94 30770.51 24481.62 28551.19 24391.63 20653.96 26977.51 22589.75 185
v7n78.97 15477.58 16383.14 12883.45 25265.51 14888.32 10691.21 9673.69 11272.41 22186.32 21057.93 17593.81 11469.18 15975.65 25690.11 158
v14419279.47 14378.37 14682.78 15583.35 25363.96 19486.96 15490.36 12169.99 17977.50 13585.67 22860.66 15893.77 11874.27 11276.58 24590.62 135
tpm273.26 25371.46 25378.63 24183.34 25456.71 27980.65 27280.40 28756.63 31673.55 20182.02 27751.80 23791.24 21656.35 26078.42 21887.95 237
v192192079.22 14878.03 15282.80 15283.30 25563.94 19586.80 16090.33 12369.91 18077.48 13685.53 23358.44 17293.75 12073.60 11976.85 23990.71 130
diffmvs81.48 9481.21 8782.31 16583.28 25662.72 21885.09 21188.63 18874.99 8678.31 11688.81 12865.80 8291.36 21279.03 6486.95 11592.84 74
v124078.99 15377.78 15882.64 15983.21 25763.54 19986.62 16790.30 12569.74 18577.33 13885.68 22757.04 18693.76 11973.13 12576.92 23590.62 135
XVG-ACMP-BASELINE76.11 21974.27 22481.62 18483.20 25864.67 17083.60 24489.75 14569.75 18371.85 23087.09 17932.78 33592.11 18269.99 15280.43 19588.09 235
MDTV_nov1_ep1369.97 26683.18 25953.48 30977.10 30280.18 29260.45 28569.33 26480.44 29548.89 27386.90 28251.60 27878.51 216
PatchmatchNetpermissive73.12 25571.33 25578.49 24683.18 25960.85 23379.63 28078.57 30664.13 25671.73 23179.81 30251.20 24285.97 29057.40 25476.36 24988.66 215
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
Fast-Effi-MVS+-dtu78.02 17276.49 17982.62 16083.16 26166.96 12886.94 15587.45 20972.45 14171.49 23584.17 25254.79 20091.58 20867.61 16880.31 19689.30 192
gg-mvs-nofinetune69.95 27967.96 28075.94 27983.07 26254.51 30377.23 30170.29 34063.11 26370.32 24662.33 34343.62 29988.69 26953.88 27087.76 10384.62 299
MVSTER79.01 15277.88 15582.38 16383.07 26264.80 16784.08 23888.95 17569.01 20078.69 10387.17 17554.70 20192.43 17274.69 10980.57 19289.89 175
K. test v371.19 26768.51 27379.21 22983.04 26457.78 26384.35 23276.91 31672.90 13362.99 31282.86 26539.27 32091.09 22461.65 21752.66 34388.75 213
FMVSNet569.50 28167.96 28074.15 29682.97 26555.35 29880.01 27782.12 26862.56 27263.02 31081.53 28636.92 32981.92 30948.42 29274.06 27485.17 293
PatchFormer-LS_test74.50 23173.05 23378.86 23882.95 26659.55 24481.65 26582.30 26567.44 22571.62 23378.15 31252.34 21988.92 26765.05 19275.90 25388.12 234
DWT-MVSNet_test73.70 23871.86 24979.21 22982.91 26758.94 24682.34 25782.17 26665.21 24471.05 24078.31 30944.21 29690.17 23763.29 20277.28 22788.53 228
DI_MVS_plusplus_test79.89 13578.58 13983.85 10882.89 26865.32 15486.12 18189.55 14969.64 18670.55 24285.82 22657.24 18393.81 11476.85 8888.55 9592.41 85
sss73.60 24273.64 22873.51 29882.80 26955.01 29976.12 30481.69 27562.47 27374.68 19685.85 22557.32 18078.11 32460.86 22480.93 18587.39 249
GA-MVS76.87 20175.17 21481.97 17182.75 27062.58 21981.44 26886.35 22172.16 15174.74 19582.89 26446.20 28692.02 18468.85 16281.09 18491.30 114
v14878.72 15777.80 15781.47 18882.73 27161.96 22686.30 17788.08 19773.26 12176.18 16485.47 23562.46 13092.36 17671.92 14173.82 27890.09 160
test_normal79.81 13678.45 14283.89 10782.70 27265.40 15085.82 19289.48 15269.39 18770.12 25185.66 22957.15 18593.71 12677.08 8588.62 9392.56 80
semantic-postprocess80.11 21182.69 27364.85 16683.47 24969.16 19470.49 24584.15 25350.83 24988.15 27469.23 15872.14 28987.34 251
CostFormer75.24 22973.90 22779.27 22782.65 27458.27 25380.80 26982.73 26161.57 27975.33 18583.13 26355.52 19391.07 22564.98 19378.34 21988.45 229
EPNet_dtu75.46 22674.86 21577.23 26682.57 27554.60 30186.89 15783.09 25771.64 15466.25 29485.86 22455.99 19088.04 27654.92 26586.55 12289.05 200
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
RPSCF73.23 25471.46 25378.54 24482.50 27659.85 24082.18 25982.84 26058.96 29971.15 23989.41 11945.48 29384.77 29858.82 24071.83 29191.02 121
tpm cat170.57 27268.31 27577.35 26482.41 27757.95 25978.08 29680.22 29152.04 33368.54 27477.66 31652.00 22787.84 27851.77 27672.07 29086.25 276
v74877.97 17476.65 17881.92 17382.29 27863.28 20787.53 13190.35 12273.50 11870.76 24185.55 23258.28 17392.81 16568.81 16372.76 28589.67 186
tpm72.37 26271.71 25274.35 29482.19 27952.00 31879.22 28577.29 31464.56 25272.95 20883.68 26051.35 24083.26 30658.33 24675.80 25487.81 241
tpmvs71.09 26869.29 26876.49 27182.04 28056.04 29078.92 28981.37 27864.05 25767.18 28678.28 31049.74 26689.77 24049.67 28872.37 28683.67 306
pmmvs474.03 23671.91 24880.39 20481.96 28168.32 10381.45 26782.14 26759.32 29669.87 25785.13 24052.40 21888.13 27560.21 22874.74 26984.73 298
TinyColmap67.30 29364.81 29574.76 29181.92 28256.68 28080.29 27581.49 27760.33 28656.27 33383.22 26224.77 34487.66 27945.52 31569.47 30079.95 327
ITE_SJBPF78.22 24981.77 28360.57 23683.30 25169.25 19267.54 28187.20 17336.33 33187.28 28154.34 26774.62 27086.80 264
MVS-HIRNet59.14 31157.67 31363.57 32781.65 28443.50 34171.73 32065.06 35239.59 34751.43 34157.73 34738.34 32482.58 30839.53 33473.95 27564.62 348
GG-mvs-BLEND75.38 28681.59 28555.80 29679.32 28369.63 34267.19 28573.67 33043.24 30088.90 26850.41 28284.50 13981.45 322
IterMVS74.29 23372.94 23478.35 24881.53 28663.49 20181.58 26682.49 26268.06 21869.99 25483.69 25951.66 23985.54 29265.85 18571.64 29286.01 283
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CHOSEN 280x42066.51 29764.71 29671.90 30381.45 28763.52 20057.98 35068.95 34753.57 32862.59 31476.70 31946.22 28575.29 33655.25 26479.68 20076.88 339
gm-plane-assit81.40 28853.83 30762.72 27180.94 29392.39 17463.40 201
pmmvs674.69 23073.39 22978.61 24281.38 28957.48 26786.64 16687.95 19964.99 24970.18 24886.61 19750.43 25989.52 24562.12 21270.18 29988.83 210
test-LLR72.94 25872.43 23974.48 29281.35 29058.04 25678.38 29277.46 31266.66 22869.95 25579.00 30748.06 27579.24 31866.13 18084.83 13686.15 278
test-mter71.41 26670.39 26474.48 29281.35 29058.04 25678.38 29277.46 31260.32 28769.95 25579.00 30736.08 33279.24 31866.13 18084.83 13686.15 278
CR-MVSNet73.37 25071.27 25679.67 21981.32 29265.19 15875.92 30680.30 28859.92 29172.73 21081.19 28752.50 21686.69 28359.84 23077.71 22187.11 259
RPMNet71.62 26468.94 27179.67 21981.32 29265.19 15875.92 30678.30 30857.60 31072.73 21076.45 32152.30 22086.69 28348.14 29877.71 22187.11 259
V4279.38 14678.24 15082.83 14981.10 29465.50 14985.55 20289.82 14371.57 15878.21 12286.12 21460.66 15893.18 14775.64 10075.46 26089.81 179
lessismore_v078.97 23681.01 29557.15 27065.99 35061.16 31682.82 26639.12 32191.34 21459.67 23146.92 34788.43 230
Patchmtry70.74 27069.16 26975.49 28580.72 29654.07 30574.94 31580.30 28858.34 30370.01 25281.19 28752.50 21686.54 28553.37 27271.09 29585.87 286
PatchT68.46 28867.85 28270.29 31280.70 29743.93 34072.47 31974.88 32460.15 28970.55 24276.57 32049.94 26581.59 31050.58 28174.83 26885.34 289
USDC70.33 27568.37 27476.21 27880.60 29856.23 28879.19 28686.49 21760.89 28361.29 31585.47 23531.78 33889.47 24753.37 27276.21 25082.94 316
tpmrst72.39 26072.13 24773.18 30080.54 29949.91 33079.91 27979.08 29863.11 26371.69 23279.95 29955.32 19482.77 30765.66 18773.89 27686.87 262
anonymousdsp78.60 15977.15 16982.98 13780.51 30067.08 12487.24 14389.53 15065.66 24275.16 18887.19 17452.52 21592.25 17977.17 8479.34 21189.61 188
OpenMVS_ROBcopyleft64.09 1970.56 27368.19 27677.65 25780.26 30159.41 24585.01 21382.96 25958.76 30165.43 29882.33 27037.63 32891.23 21745.34 31776.03 25182.32 317
Test477.83 17975.90 19783.62 11080.24 30265.25 15685.27 20790.67 10869.03 19966.48 29283.75 25743.07 30293.00 15875.93 9588.66 9292.62 79
Anonymous2023120668.60 28567.80 28471.02 31080.23 30350.75 32778.30 29580.47 28556.79 31566.11 29582.63 26846.35 28478.95 32043.62 32775.70 25583.36 309
MIMVSNet168.58 28666.78 29173.98 29780.07 30451.82 31980.77 27084.37 23764.40 25459.75 32282.16 27336.47 33083.63 30342.73 32970.33 29886.48 270
ADS-MVSNet266.20 30063.33 30074.82 29079.92 30558.75 24867.55 33875.19 32253.37 32965.25 30075.86 32242.32 30780.53 31441.57 33168.91 30385.18 291
ADS-MVSNet64.36 30462.88 30468.78 31979.92 30547.17 33567.55 33871.18 33853.37 32965.25 30075.86 32242.32 30773.99 34141.57 33168.91 30385.18 291
our_test_369.14 28367.00 28975.57 28379.80 30758.80 24777.96 29777.81 31059.55 29462.90 31378.25 31147.43 27783.97 30051.71 27767.58 30883.93 305
ppachtmachnet_test70.04 27867.34 28878.14 25079.80 30761.13 22979.19 28680.59 28359.16 29865.27 29979.29 30446.75 28387.29 28049.33 28966.72 31386.00 285
dp66.80 29465.43 29470.90 31179.74 30948.82 33375.12 31374.77 32659.61 29364.08 30777.23 31742.89 30380.72 31348.86 29166.58 31583.16 311
EPMVS69.02 28468.16 27771.59 30479.61 31049.80 33277.40 30066.93 34962.82 26970.01 25279.05 30545.79 28977.86 32656.58 25975.26 26487.13 258
PVSNet_057.27 2061.67 30859.27 30968.85 31879.61 31057.44 26868.01 33673.44 33455.93 31958.54 32470.41 33644.58 29577.55 32747.01 30335.91 34971.55 343
Patchmatch-test64.82 30363.24 30169.57 31479.42 31249.82 33163.49 34569.05 34651.98 33459.95 32180.13 29850.91 24570.98 34740.66 33373.57 27987.90 239
V477.95 17576.37 18282.67 15779.40 31365.52 14686.43 17189.94 14072.28 14572.14 22784.95 24455.72 19193.44 13673.64 11772.86 28389.05 200
v5277.94 17776.37 18282.67 15779.39 31465.52 14686.43 17189.94 14072.28 14572.15 22684.94 24555.70 19293.44 13673.64 11772.84 28489.06 196
MDA-MVSNet-bldmvs66.68 29563.66 29975.75 28079.28 31560.56 23773.92 31778.35 30764.43 25350.13 34379.87 30144.02 29883.67 30246.10 31256.86 33783.03 314
TESTMET0.1,169.89 28069.00 27072.55 30179.27 31656.85 27578.38 29274.71 32857.64 30968.09 27777.19 31837.75 32676.70 32963.92 19884.09 14384.10 304
N_pmnet52.79 32153.26 31951.40 34078.99 3177.68 36569.52 3283.89 36551.63 33657.01 33074.98 32540.83 31565.96 35437.78 33664.67 32480.56 326
EU-MVSNet68.53 28767.61 28771.31 30978.51 31847.01 33684.47 22584.27 23942.27 34366.44 29384.79 24840.44 31783.76 30158.76 24168.54 30783.17 310
pmmvs571.55 26570.20 26575.61 28277.83 31956.39 28481.74 26380.89 27957.76 30867.46 28284.49 25049.26 27085.32 29557.08 25775.29 26385.11 294
test0.0.03 168.00 28967.69 28668.90 31777.55 32047.43 33475.70 30972.95 33566.66 22866.56 29082.29 27148.06 27575.87 33344.97 31874.51 27183.41 308
Patchmatch-RL test70.24 27667.78 28577.61 25877.43 32159.57 24271.16 32170.33 33962.94 26768.65 27172.77 33150.62 25085.49 29369.58 15666.58 31587.77 242
pmmvs-eth3d70.50 27467.83 28378.52 24577.37 32266.18 13681.82 26181.51 27658.90 30063.90 30880.42 29642.69 30586.28 28858.56 24265.30 32383.11 312
testing_275.73 22373.34 23182.89 14577.37 32265.22 15784.10 23790.54 11469.09 19560.46 31881.15 28940.48 31692.84 16476.36 9180.54 19490.60 137
JIA-IIPM66.32 29962.82 30576.82 26877.09 32461.72 22865.34 34275.38 32058.04 30664.51 30462.32 34442.05 31086.51 28651.45 27969.22 30282.21 318
Gipumacopyleft45.18 32741.86 32855.16 33677.03 32551.52 32232.50 35880.52 28432.46 35127.12 35235.02 3549.52 36175.50 33422.31 35460.21 33538.45 355
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MDA-MVSNet_test_wron65.03 30162.92 30271.37 30675.93 32656.73 27769.09 33374.73 32757.28 31354.03 33677.89 31345.88 28774.39 33949.89 28761.55 33082.99 315
YYNet165.03 30162.91 30371.38 30575.85 32756.60 28169.12 33274.66 33057.28 31354.12 33577.87 31445.85 28874.48 33849.95 28661.52 33183.05 313
PMMVS69.34 28268.67 27271.35 30875.67 32862.03 22575.17 31073.46 33350.00 33868.68 27079.05 30552.07 22678.13 32361.16 22282.77 16673.90 341
testgi66.67 29666.53 29267.08 32275.62 32941.69 34575.93 30576.50 31766.11 23565.20 30286.59 19835.72 33374.71 33743.71 32673.38 28184.84 296
LP61.36 30957.78 31272.09 30275.54 33058.53 25067.16 34075.22 32151.90 33554.13 33469.97 33737.73 32780.45 31532.74 34255.63 33977.29 335
test20.0367.45 29166.95 29068.94 31675.48 33144.84 33877.50 29977.67 31166.66 22863.01 31183.80 25647.02 28078.40 32242.53 33068.86 30583.58 307
PM-MVS66.41 29864.14 29873.20 29973.92 33256.45 28278.97 28864.96 35363.88 26164.72 30380.24 29719.84 35083.44 30466.24 17964.52 32579.71 328
UnsupCasMVSNet_bld63.70 30661.53 30870.21 31373.69 33351.39 32472.82 31881.89 27355.63 32057.81 32671.80 33338.67 32278.61 32149.26 29052.21 34480.63 324
UnsupCasMVSNet_eth67.33 29265.99 29371.37 30673.48 33451.47 32375.16 31185.19 23165.20 24560.78 31780.93 29442.35 30677.20 32857.12 25653.69 34285.44 288
TDRefinement67.49 29064.34 29776.92 26773.47 33561.07 23084.86 21682.98 25859.77 29258.30 32585.13 24026.06 34287.89 27747.92 30160.59 33481.81 321
ambc75.24 28773.16 33650.51 32863.05 34687.47 20864.28 30577.81 31517.80 35389.73 24257.88 25060.64 33385.49 287
CMPMVSbinary51.72 2170.19 27768.16 27776.28 27773.15 33757.55 26679.47 28283.92 24148.02 34056.48 33284.81 24743.13 30186.42 28762.67 20781.81 17884.89 295
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
new-patchmatchnet61.73 30761.73 30761.70 33072.74 33824.50 36169.16 33178.03 30961.40 28056.72 33175.53 32438.42 32376.48 33145.95 31357.67 33684.13 303
testus59.00 31257.91 31162.25 32972.25 33939.09 34869.74 32675.02 32353.04 33157.21 32973.72 32918.76 35270.33 34832.86 34168.57 30677.35 334
testpf56.51 31757.58 31453.30 33771.99 34041.19 34646.89 35569.32 34558.06 30552.87 34069.45 33927.99 34072.73 34359.59 23362.07 32845.98 353
test235659.50 31058.08 31063.74 32671.23 34141.88 34367.59 33772.42 33753.72 32757.65 32770.74 33526.31 34172.40 34432.03 34571.06 29676.93 337
LF4IMVS64.02 30562.19 30669.50 31570.90 34253.29 31076.13 30377.18 31552.65 33258.59 32380.98 29223.55 34576.52 33053.06 27466.66 31478.68 330
test123567858.74 31356.89 31664.30 32469.70 34341.87 34471.05 32274.87 32554.06 32450.63 34271.53 33425.30 34374.10 34031.80 34663.10 32776.93 337
111157.11 31656.82 31757.97 33469.10 34428.28 35668.90 33474.54 33154.01 32553.71 33774.51 32623.09 34667.90 35232.28 34361.26 33277.73 332
.test124545.55 32650.02 32332.14 34669.10 34428.28 35668.90 33474.54 33154.01 32553.71 33774.51 32623.09 34667.90 35232.28 3430.02 3610.25 362
new_pmnet50.91 32350.29 32252.78 33868.58 34634.94 35463.71 34456.63 35539.73 34644.95 34465.47 34221.93 34858.48 35634.98 33956.62 33864.92 347
DSMNet-mixed57.77 31556.90 31560.38 33167.70 34735.61 35169.18 33053.97 35632.30 35357.49 32879.88 30040.39 31868.57 35138.78 33572.37 28676.97 336
FPMVS53.68 32051.64 32059.81 33265.08 34851.03 32569.48 32969.58 34341.46 34440.67 34672.32 33216.46 35570.00 34924.24 35365.42 32258.40 350
pmmvs357.79 31454.26 31868.37 32064.02 34956.72 27875.12 31365.17 35140.20 34552.93 33969.86 33820.36 34975.48 33545.45 31655.25 34172.90 342
test1235649.28 32548.51 32551.59 33962.06 35019.11 36260.40 34772.45 33647.60 34140.64 34765.68 34113.84 35768.72 35027.29 35046.67 34866.94 346
testmv53.85 31951.03 32162.31 32861.46 35138.88 34970.95 32574.69 32951.11 33741.26 34566.85 34014.28 35672.13 34529.19 34849.51 34675.93 340
PNet_i23d38.26 33135.42 33146.79 34158.74 35235.48 35259.65 34851.25 35732.45 35223.44 35647.53 3522.04 36658.96 35525.60 35218.09 35645.92 354
wuyk23d16.82 33815.94 33919.46 34958.74 35231.45 35539.22 3563.74 3666.84 3596.04 3612.70 3621.27 36724.29 36210.54 36014.40 3602.63 360
no-one51.08 32245.79 32766.95 32357.92 35450.49 32959.63 34976.04 31948.04 33931.85 34956.10 35019.12 35180.08 31736.89 33726.52 35170.29 344
PMMVS240.82 32938.86 33046.69 34253.84 35516.45 36348.61 35449.92 35837.49 34831.67 35060.97 3468.14 36356.42 35728.42 34930.72 35067.19 345
LCM-MVSNet54.25 31849.68 32467.97 32153.73 35645.28 33766.85 34180.78 28135.96 34939.45 34862.23 3458.70 36278.06 32548.24 29751.20 34580.57 325
E-PMN31.77 33330.64 33435.15 34452.87 35727.67 35857.09 35247.86 35924.64 35416.40 35833.05 35611.23 35954.90 35814.46 35818.15 35522.87 357
EMVS30.81 33429.65 33534.27 34550.96 35825.95 36056.58 35346.80 36024.01 35615.53 35930.68 35712.47 35854.43 35912.81 35917.05 35722.43 358
ANet_high50.57 32446.10 32663.99 32548.67 35939.13 34770.99 32480.85 28061.39 28131.18 35157.70 34817.02 35473.65 34231.22 34715.89 35879.18 329
wuykxyi23d39.76 33033.18 33359.51 33346.98 36044.01 33957.70 35167.74 34824.13 35513.98 36034.33 3551.27 36771.33 34634.23 34018.23 35463.18 349
MVEpermissive26.22 2330.37 33525.89 33743.81 34344.55 36135.46 35328.87 35939.07 36118.20 35718.58 35740.18 3532.68 36547.37 36017.07 35723.78 35348.60 352
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMVScopyleft37.38 2244.16 32840.28 32955.82 33540.82 36242.54 34265.12 34363.99 35434.43 35024.48 35357.12 3493.92 36476.17 33217.10 35655.52 34048.75 351
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepMVS_CXcopyleft27.40 34840.17 36326.90 35924.59 36417.44 35823.95 35448.61 3519.77 36026.48 36118.06 35524.47 35228.83 356
tmp_tt18.61 33721.40 33810.23 3504.82 36410.11 36434.70 35730.74 3631.48 36023.91 35526.07 35828.42 33913.41 36327.12 35115.35 3597.17 359
testmvs6.04 3418.02 3420.10 3520.08 3650.03 36769.74 3260.04 3670.05 3610.31 3621.68 3630.02 3700.04 3640.24 3610.02 3610.25 362
test1236.12 3408.11 3410.14 3510.06 3660.09 36671.05 3220.03 3680.04 3620.25 3631.30 3640.05 3690.03 3650.21 3620.01 3630.29 361
cdsmvs_eth3d_5k19.96 33626.61 3360.00 3530.00 3670.00 3680.00 36089.26 1600.00 3630.00 36488.61 13361.62 1400.00 3660.00 3630.00 3640.00 364
pcd_1.5k_mvsjas5.26 3427.02 3430.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 36563.15 1050.00 3660.00 3630.00 3640.00 364
sosnet-low-res0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
sosnet0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
uncertanet0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
Regformer0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
ab-mvs-re7.23 3399.64 3400.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 36486.72 1860.00 3710.00 3660.00 3630.00 3640.00 364
uanet0.00 3430.00 3440.00 3530.00 3670.00 3680.00 3600.00 3690.00 3630.00 3640.00 3650.00 3710.00 3660.00 3630.00 3640.00 364
GSMVS88.96 207
test_part392.22 1975.63 7495.29 397.56 186.60 13
test_part194.09 181.79 196.38 393.74 40
sam_mvs151.32 24188.96 207
sam_mvs50.01 262
MTGPAbinary92.02 62
test_post178.90 2905.43 36148.81 27485.44 29459.25 236
test_post5.46 36050.36 26084.24 299
patchmatchnet-post74.00 32851.12 24488.60 270
MTMP92.18 2232.83 362
test9_res84.90 2095.70 1592.87 73
agg_prior282.91 4295.45 1792.70 75
test_prior472.60 3089.01 81
test_prior288.85 8675.41 7884.91 3293.54 3274.28 1983.31 3595.86 9
旧先验286.56 16958.10 30487.04 1688.98 26374.07 114
新几何286.29 178
无先验87.48 13388.98 17260.00 29094.12 9767.28 17288.97 206
原ACMM286.86 158
testdata291.01 22662.37 209
segment_acmp73.08 26
testdata184.14 23675.71 71
plane_prior592.44 4695.38 5378.71 6886.32 12591.33 112
plane_prior491.00 85
plane_prior368.60 9978.44 3078.92 101
plane_prior291.25 3279.12 23
plane_prior68.71 9590.38 4877.62 3486.16 127
n20.00 369
nn0.00 369
door-mid69.98 341
test1192.23 54
door69.44 344
HQP5-MVS66.98 126
BP-MVS77.47 80
HQP4-MVS77.24 14195.11 6191.03 119
HQP3-MVS92.19 5785.99 129
HQP2-MVS60.17 165
MDTV_nov1_ep13_2view37.79 35075.16 31155.10 32166.53 29149.34 26853.98 26887.94 238
ACMMP++_ref81.95 176
ACMMP++81.25 183
Test By Simon64.33 92