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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort by
HPM-MVS++89.02 389.15 388.63 195.01 276.03 192.38 1492.85 3480.26 1487.78 1294.27 1675.89 896.81 887.45 996.44 193.05 63
test_part194.09 281.79 196.38 293.74 36
ACMMP_Plus88.05 988.08 987.94 1193.70 2473.05 1890.86 3393.59 976.27 6688.14 895.09 371.06 3796.67 1387.67 696.37 394.09 22
MP-MVS-pluss87.67 1287.72 1187.54 2693.64 2772.04 3989.80 5593.50 1175.17 8386.34 1795.29 270.86 3896.00 3388.78 396.04 494.58 7
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
CNVR-MVS88.93 489.13 488.33 394.77 373.82 690.51 3993.00 2680.90 1088.06 1094.06 2476.43 596.84 788.48 495.99 594.34 15
PHI-MVS86.43 3186.17 3387.24 3090.88 6870.96 4892.27 1794.07 372.45 13685.22 2691.90 5869.47 5196.42 2283.28 3495.94 694.35 14
test_prior386.73 2686.86 2586.33 4692.61 4769.59 7288.85 7992.97 3175.41 7684.91 3093.54 2974.28 1895.48 4383.31 3295.86 793.91 30
test_prior288.85 7975.41 7684.91 3093.54 2974.28 1883.31 3295.86 7
SteuartSystems-ACMMP88.72 588.86 588.32 492.14 5372.96 1993.73 393.67 880.19 1588.10 994.80 473.76 2197.11 387.51 895.82 994.90 4
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS80.84 188.10 688.56 686.73 3992.24 5169.03 8089.57 6293.39 1577.53 3989.79 594.12 2278.98 296.58 2085.66 1295.72 1094.58 7
train_agg86.43 3186.20 3187.13 3393.26 3472.96 1988.75 8491.89 6968.69 19685.00 2893.10 3974.43 1495.41 4884.97 1595.71 1193.02 64
agg_prior386.16 3785.85 3887.10 3493.31 3172.86 2388.77 8291.68 7968.29 20684.26 4392.83 4772.83 2695.42 4784.97 1595.71 1193.02 64
test9_res84.90 1795.70 1392.87 69
APDe-MVS89.15 289.63 287.73 2094.49 971.69 4293.83 293.96 475.70 7291.06 396.03 176.84 497.03 589.09 295.65 1494.47 11
agg_prior282.91 3995.45 1592.70 70
CDPH-MVS85.76 4185.29 4687.17 3293.49 3071.08 4688.58 9092.42 4868.32 20584.61 3793.48 3172.32 3096.15 3079.00 6095.43 1694.28 18
DeepC-MVS79.81 287.08 2486.88 2487.69 2491.16 6372.32 3690.31 4593.94 577.12 4482.82 6094.23 1872.13 3297.09 484.83 2095.37 1793.65 42
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MPTG87.53 1487.41 1587.90 1594.18 2074.25 290.23 4792.02 6079.45 1985.88 1994.80 468.07 5896.21 2786.69 1095.34 1893.23 55
MTAPA87.23 2087.00 2087.90 1594.18 2074.25 286.58 16092.02 6079.45 1985.88 1994.80 468.07 5896.21 2786.69 1095.34 1893.23 55
agg_prior186.22 3686.09 3586.62 4292.85 4271.94 4088.59 8991.78 7568.96 19384.41 4093.18 3874.94 1094.93 6584.75 2295.33 2093.01 66
DeepC-MVS_fast79.65 386.91 2586.62 2687.76 1993.52 2972.37 3591.26 2793.04 2376.62 5784.22 4493.36 3571.44 3596.76 1080.82 5195.33 2094.16 19
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 1187.64 1287.93 1494.36 1573.88 492.71 1392.65 4277.57 3583.84 4894.40 1572.24 3196.28 2585.65 1395.30 2293.62 44
MCST-MVS87.37 1887.25 1687.73 2094.53 872.46 3289.82 5393.82 673.07 12484.86 3592.89 4576.22 696.33 2384.89 1995.13 2394.40 12
APD-MVScopyleft87.44 1587.52 1387.19 3194.24 1772.39 3391.86 2292.83 3573.01 12588.58 794.52 773.36 2296.49 2184.26 2795.01 2492.70 70
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
NCCC88.06 788.01 1088.24 594.41 1373.62 791.22 3092.83 3581.50 785.79 2293.47 3373.02 2597.00 684.90 1794.94 2594.10 21
ACMMPR87.44 1587.23 1788.08 794.64 473.59 893.04 593.20 1976.78 5284.66 3694.52 768.81 5696.65 1484.53 2394.90 2694.00 28
HFP-MVS87.58 1387.47 1487.94 1194.58 673.54 1193.04 593.24 1776.78 5284.91 3094.44 1270.78 3996.61 1684.53 2394.89 2793.66 37
#test#87.33 1987.13 1987.94 1194.58 673.54 1192.34 1593.24 1775.23 8084.91 3094.44 1270.78 3996.61 1683.75 3194.89 2793.66 37
region2R87.42 1787.20 1888.09 694.63 573.55 993.03 793.12 2276.73 5584.45 3994.52 769.09 5496.70 1284.37 2694.83 2994.03 25
原ACMM184.35 8593.01 4068.79 8692.44 4563.96 24881.09 7991.57 6666.06 7695.45 4567.19 16794.82 3088.81 198
HPM-MVS87.11 2286.98 2187.50 2893.88 2372.16 3792.19 1893.33 1676.07 6983.81 4993.95 2669.77 4996.01 3285.15 1494.66 3194.32 17
TSAR-MVS + MP.88.02 1088.11 887.72 2293.68 2672.13 3891.41 2692.35 5074.62 8988.90 693.85 2775.75 996.00 3387.80 594.63 3295.04 2
PGM-MVS86.68 2786.27 3087.90 1594.22 1873.38 1590.22 4893.04 2375.53 7483.86 4794.42 1467.87 6296.64 1582.70 4194.57 3393.66 37
XVS87.18 2186.91 2388.00 994.42 1173.33 1692.78 992.99 2879.14 2183.67 5194.17 1967.45 6596.60 1883.06 3694.50 3494.07 23
X-MVStestdata80.37 11777.83 15188.00 994.42 1173.33 1692.78 992.99 2879.14 2183.67 5112.47 34667.45 6596.60 1883.06 3694.50 3494.07 23
test1286.80 3892.63 4670.70 5691.79 7482.71 6271.67 3396.16 2994.50 3493.54 47
CP-MVS87.11 2286.92 2287.68 2594.20 1973.86 593.98 192.82 3776.62 5783.68 5094.46 1167.93 6095.95 3584.20 2994.39 3793.23 55
CSCG86.41 3386.19 3287.07 3592.91 4172.48 3190.81 3493.56 1073.95 9783.16 5691.07 7675.94 795.19 5579.94 5894.38 3893.55 46
MSLP-MVS++85.43 4685.76 4084.45 8191.93 5670.24 5990.71 3692.86 3377.46 4184.22 4492.81 5067.16 6892.94 15280.36 5494.35 3990.16 148
mPP-MVS86.67 2886.32 2987.72 2294.41 1373.55 992.74 1192.22 5376.87 5082.81 6194.25 1766.44 7296.24 2682.88 4094.28 4093.38 50
SD-MVS88.06 788.50 786.71 4092.60 4972.71 2491.81 2393.19 2077.87 3290.32 494.00 2574.83 1193.78 11287.63 794.27 4193.65 42
MVS_030486.37 3585.81 3988.02 890.13 7672.39 3389.66 6092.75 3881.64 682.66 6492.04 5464.44 8797.35 184.76 2194.25 4294.33 16
HSP-MVS89.28 189.76 187.85 1894.28 1673.46 1492.90 892.73 3980.27 1391.35 294.16 2078.35 396.77 989.59 194.22 4393.33 53
DELS-MVS85.41 4785.30 4585.77 5588.49 13167.93 10885.52 19693.44 1378.70 2883.63 5389.03 11774.57 1295.71 3880.26 5694.04 4493.66 37
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
EPNet83.72 5782.92 6386.14 5184.22 21269.48 7591.05 3285.27 22481.30 876.83 14091.65 6266.09 7595.56 4176.00 8993.85 4593.38 50
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
3Dnovator+77.84 485.48 4484.47 5288.51 291.08 6473.49 1393.18 493.78 780.79 1176.66 14393.37 3460.40 16196.75 1177.20 7893.73 4695.29 1
CANet86.45 3086.10 3487.51 2790.09 7870.94 5089.70 5992.59 4381.78 481.32 7491.43 7170.34 4297.23 284.26 2793.36 4794.37 13
新几何183.42 11293.13 3670.71 5585.48 22257.43 29781.80 7191.98 5663.28 9792.27 17164.60 18892.99 4887.27 240
112180.84 9779.77 10284.05 9493.11 3870.78 5484.66 20885.42 22357.37 29881.76 7292.02 5563.41 9594.12 9367.28 16592.93 4987.26 241
HPM-MVS_fast85.35 4884.95 4986.57 4493.69 2570.58 5792.15 1991.62 8073.89 10082.67 6394.09 2362.60 12195.54 4280.93 4992.93 4993.57 45
旧先验191.96 5565.79 14186.37 21493.08 4369.31 5392.74 5188.74 201
3Dnovator76.31 583.38 6482.31 7086.59 4387.94 14672.94 2290.64 3792.14 5777.21 4275.47 16892.83 4758.56 16894.72 7573.24 11992.71 5292.13 89
MVS_111021_HR85.14 5184.75 5186.32 4891.65 5972.70 2585.98 17590.33 11876.11 6882.08 6791.61 6571.36 3694.17 9281.02 4892.58 5392.08 90
APD-MVS_3200maxsize85.97 3885.88 3686.22 4992.69 4569.53 7491.93 2192.99 2873.54 11185.94 1894.51 1065.80 7995.61 3983.04 3892.51 5493.53 48
MAR-MVS81.84 8280.70 8885.27 6191.32 6271.53 4489.82 5390.92 9969.77 17478.50 10186.21 20262.36 12894.52 7965.36 18192.05 5589.77 174
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
TSAR-MVS + GP.85.71 4285.33 4386.84 3791.34 6172.50 3089.07 7487.28 20476.41 5985.80 2190.22 9274.15 2095.37 5281.82 4591.88 5692.65 73
IS-MVSNet83.15 6582.81 6484.18 9089.94 8263.30 20091.59 2488.46 18479.04 2579.49 8992.16 5265.10 8394.28 8467.71 16091.86 5794.95 3
Vis-MVSNet (Re-imp)78.36 15778.45 13778.07 24288.64 12751.78 30786.70 15779.63 28774.14 9575.11 18290.83 8361.29 14489.75 23158.10 23991.60 5892.69 72
MG-MVS83.41 6283.45 5583.28 11792.74 4462.28 21788.17 10589.50 14575.22 8181.49 7392.74 5166.75 6995.11 5872.85 12191.58 5992.45 77
CPTT-MVS83.73 5683.33 5784.92 7293.28 3370.86 5392.09 2090.38 11368.75 19579.57 8892.83 4760.60 15793.04 15080.92 5091.56 6090.86 118
test22291.50 6068.26 10284.16 22583.20 24854.63 30979.74 8691.63 6458.97 16691.42 6186.77 252
testdata79.97 20690.90 6764.21 18284.71 22859.27 28485.40 2392.91 4462.02 13489.08 24868.95 15491.37 6286.63 256
abl_685.23 4984.95 4986.07 5292.23 5270.48 5890.80 3592.08 5873.51 11285.26 2594.16 2062.75 11495.92 3682.46 4491.30 6391.81 97
API-MVS81.99 8081.23 8284.26 8890.94 6670.18 6591.10 3189.32 15071.51 15278.66 9988.28 13565.26 8195.10 6164.74 18791.23 6487.51 234
Vis-MVSNetpermissive83.46 6182.80 6585.43 5890.25 7568.74 9090.30 4690.13 12776.33 6580.87 8292.89 4561.00 15094.20 8972.45 12890.97 6593.35 52
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
OpenMVScopyleft72.83 1079.77 13178.33 14384.09 9285.17 19669.91 6690.57 3890.97 9866.70 21772.17 21491.91 5754.70 19793.96 9861.81 20890.95 6688.41 218
UA-Net85.08 5284.96 4885.45 5792.07 5468.07 10689.78 5690.86 10182.48 284.60 3893.20 3769.35 5295.22 5471.39 14090.88 6793.07 62
ACMMPcopyleft85.89 4085.39 4287.38 2993.59 2872.63 2792.74 1193.18 2176.78 5280.73 8393.82 2864.33 8896.29 2482.67 4290.69 6893.23 55
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
Regformer-186.41 3386.33 2886.64 4189.33 10070.93 5188.43 9291.39 8982.14 386.65 1690.09 9474.39 1695.01 6483.97 3090.63 6993.97 29
Regformer-286.63 2986.53 2786.95 3689.33 10071.24 4588.43 9292.05 5982.50 186.88 1590.09 9474.45 1395.61 3984.38 2590.63 6994.01 27
UGNet80.83 9979.59 10784.54 7888.04 14368.09 10589.42 6388.16 18676.95 4876.22 15489.46 10849.30 25993.94 10068.48 15790.31 7191.60 99
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
MVSFormer82.85 7082.05 7385.24 6287.35 16770.21 6090.50 4090.38 11368.55 19881.32 7489.47 10661.68 13593.46 12878.98 6190.26 7292.05 91
lupinMVS81.39 9180.27 9684.76 7587.35 16770.21 6085.55 19286.41 21262.85 25681.32 7488.61 12561.68 13592.24 17378.41 6790.26 7291.83 95
DP-MVS Recon83.11 6782.09 7286.15 5094.44 1070.92 5288.79 8192.20 5470.53 16479.17 9291.03 7964.12 9096.03 3168.39 15990.14 7491.50 103
MVS_111021_LR82.61 7382.11 7184.11 9188.82 12071.58 4385.15 20186.16 21774.69 8880.47 8491.04 7762.29 12990.55 22280.33 5590.08 7590.20 147
jason81.39 9180.29 9584.70 7686.63 18169.90 6785.95 17686.77 20863.24 25081.07 8089.47 10661.08 14992.15 17478.33 6890.07 7692.05 91
jason: jason.
LFMVS81.82 8381.23 8283.57 10991.89 5763.43 19889.84 5281.85 26677.04 4783.21 5493.10 3952.26 21693.43 13271.98 13489.95 7793.85 33
MVS78.19 16176.99 16581.78 16785.66 19066.99 12284.66 20890.47 11155.08 30872.02 21985.27 22663.83 9394.11 9566.10 17589.80 7884.24 287
CANet_DTU80.61 10779.87 10082.83 14485.60 19263.17 20687.36 12888.65 18076.37 6375.88 16088.44 13153.51 20793.07 14773.30 11889.74 7992.25 84
PVSNet_Blended80.98 9480.34 9382.90 13888.85 11765.40 14784.43 21892.00 6367.62 21178.11 11885.05 23166.02 7794.27 8571.52 13889.50 8089.01 192
PAPM_NR83.02 6882.41 6784.82 7492.47 5066.37 13187.93 11291.80 7373.82 10577.32 13290.66 8567.90 6194.90 6970.37 14489.48 8193.19 59
114514_t80.68 10679.51 11184.20 8994.09 2267.27 11989.64 6191.11 9658.75 28874.08 19190.72 8458.10 17195.04 6369.70 14989.42 8290.30 145
LCM-MVSNet-Re77.05 19076.94 16677.36 25187.20 17351.60 30880.06 26480.46 27875.20 8267.69 26986.72 17662.48 12688.98 25163.44 19289.25 8391.51 102
alignmvs85.48 4485.32 4485.96 5489.51 9569.47 7689.74 5792.47 4476.17 6787.73 1391.46 7070.32 4393.78 11281.51 4688.95 8494.63 6
VNet82.21 7682.41 6781.62 17790.82 6960.93 22484.47 21489.78 13876.36 6484.07 4691.88 5964.71 8690.26 22470.68 14188.89 8593.66 37
PS-MVSNAJ81.69 8481.02 8683.70 10589.51 9568.21 10484.28 22390.09 12870.79 15981.26 7885.62 21963.15 10294.29 8375.62 9688.87 8688.59 210
canonicalmvs85.91 3985.87 3786.04 5389.84 8469.44 7890.45 4393.00 2676.70 5688.01 1191.23 7373.28 2393.91 10381.50 4788.80 8794.77 5
QAPM80.88 9579.50 11285.03 6788.01 14568.97 8491.59 2492.00 6366.63 22175.15 18192.16 5257.70 17395.45 4563.52 19188.76 8890.66 127
VDD-MVS83.01 6982.36 6984.96 6991.02 6566.40 13088.91 7688.11 18777.57 3584.39 4293.29 3652.19 21793.91 10377.05 8188.70 8994.57 9
Test477.83 17275.90 18983.62 10680.24 29165.25 15385.27 19890.67 10369.03 19166.48 28183.75 24543.07 29093.00 15175.93 9088.66 9092.62 74
test_normal79.81 13078.45 13783.89 10382.70 26165.40 14785.82 18289.48 14669.39 17970.12 24085.66 21757.15 18193.71 12177.08 8088.62 9192.56 75
PVSNet_Blended_VisFu82.62 7281.83 7784.96 6990.80 7069.76 6988.74 8691.70 7869.39 17978.96 9488.46 13065.47 8094.87 7174.42 10588.57 9290.24 146
DI_MVS_plusplus_test79.89 12978.58 13483.85 10482.89 25765.32 15186.12 17289.55 14369.64 17870.55 23185.82 21457.24 17993.81 11076.85 8388.55 9392.41 79
xiu_mvs_v2_base81.69 8481.05 8583.60 10789.15 11168.03 10784.46 21690.02 13270.67 16281.30 7786.53 19263.17 10194.19 9075.60 9788.54 9488.57 212
PAPR81.66 8680.89 8783.99 9990.27 7464.00 18886.76 15691.77 7768.84 19477.13 13989.50 10467.63 6394.88 7067.55 16288.52 9593.09 61
MVS_Test83.15 6583.06 6083.41 11486.86 17763.21 20386.11 17392.00 6374.31 9282.87 5989.44 11170.03 4593.21 13777.39 7788.50 9693.81 35
AdaColmapbinary80.58 11079.42 11384.06 9393.09 3968.91 8589.36 6488.97 16769.27 18375.70 16789.69 10057.20 18095.77 3763.06 19588.41 9787.50 235
VDDNet81.52 8880.67 8984.05 9490.44 7264.13 18489.73 5885.91 22071.11 15583.18 5593.48 3150.54 24993.49 12773.40 11788.25 9894.54 10
PCF-MVS73.52 780.38 11678.84 12985.01 6887.71 16068.99 8383.65 23291.46 8863.00 25377.77 12590.28 8966.10 7495.09 6261.40 21188.22 9990.94 116
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Effi-MVS+83.62 5983.08 5985.24 6288.38 13667.45 11488.89 7789.15 15775.50 7582.27 6588.28 13569.61 5094.45 8177.81 7287.84 10093.84 34
gg-mvs-nofinetune69.95 26767.96 26975.94 26783.07 25154.51 29277.23 28770.29 32963.11 25170.32 23562.33 33043.62 28788.69 25753.88 26187.76 10184.62 285
Regformer-385.23 4985.07 4785.70 5688.95 11569.01 8288.29 10189.91 13680.95 985.01 2790.01 9672.45 2994.19 9082.50 4387.57 10293.90 32
Regformer-485.68 4385.45 4186.35 4588.95 11569.67 7188.29 10191.29 9181.73 585.36 2490.01 9672.62 2895.35 5383.28 3487.57 10294.03 25
xiu_mvs_v1_base_debu80.80 10279.72 10484.03 9687.35 16770.19 6285.56 18988.77 17669.06 18881.83 6888.16 13750.91 23992.85 15478.29 6987.56 10489.06 185
xiu_mvs_v1_base80.80 10279.72 10484.03 9687.35 16770.19 6285.56 18988.77 17669.06 18881.83 6888.16 13750.91 23992.85 15478.29 6987.56 10489.06 185
xiu_mvs_v1_base_debi80.80 10279.72 10484.03 9687.35 16770.19 6285.56 18988.77 17669.06 18881.83 6888.16 13750.91 23992.85 15478.29 6987.56 10489.06 185
CLD-MVS82.31 7581.65 7884.29 8788.47 13267.73 11285.81 18392.35 5075.78 7078.33 10986.58 18964.01 9194.35 8276.05 8887.48 10790.79 119
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CDS-MVSNet79.07 14677.70 15583.17 12187.60 16268.23 10384.40 22086.20 21667.49 21476.36 15086.54 19161.54 13890.79 21961.86 20787.33 10890.49 138
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
EPP-MVSNet83.40 6383.02 6184.57 7790.13 7664.47 17892.32 1690.73 10274.45 9179.35 9191.10 7469.05 5595.12 5772.78 12287.22 10994.13 20
TAMVS78.89 15077.51 15883.03 12987.80 15567.79 11184.72 20785.05 22767.63 21076.75 14187.70 14862.25 13090.82 21858.53 23587.13 11090.49 138
TAPA-MVS73.13 979.15 14477.94 14982.79 14889.59 9162.99 21088.16 10691.51 8565.77 22977.14 13891.09 7560.91 15193.21 13750.26 27587.05 11192.17 88
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPM77.68 17576.40 17481.51 18087.29 17261.85 22183.78 23189.59 14264.74 23871.23 22688.70 12162.59 12293.66 12252.66 26687.03 11289.01 192
BH-untuned79.47 13878.60 13282.05 16289.19 11065.91 13886.07 17488.52 18372.18 14275.42 17187.69 14961.15 14793.54 12560.38 21886.83 11386.70 254
BH-RMVSNet79.61 13378.44 13983.14 12389.38 9965.93 13784.95 20487.15 20573.56 11078.19 11689.79 9956.67 18393.36 13359.53 22686.74 11490.13 150
LS3D76.95 19274.82 20783.37 11590.45 7167.36 11889.15 7286.94 20761.87 26669.52 24990.61 8651.71 23294.53 7846.38 29986.71 11588.21 220
Fast-Effi-MVS+80.81 10079.92 9983.47 11088.85 11764.51 17285.53 19489.39 14870.79 15978.49 10285.06 23067.54 6493.58 12367.03 17086.58 11692.32 81
EPNet_dtu75.46 21774.86 20677.23 25482.57 26454.60 29086.89 14983.09 24971.64 14766.25 28385.86 21255.99 18688.04 26454.92 25686.55 11789.05 189
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
OPM-MVS83.50 6082.95 6285.14 6488.79 12370.95 4989.13 7391.52 8477.55 3880.96 8191.75 6060.71 15394.50 8079.67 5986.51 11889.97 166
OMC-MVS82.69 7181.97 7684.85 7388.75 12567.42 11587.98 10890.87 10074.92 8679.72 8791.65 6262.19 13293.96 9875.26 10186.42 11993.16 60
HQP_MVS83.64 5883.14 5885.14 6490.08 7968.71 9291.25 2892.44 4579.12 2378.92 9591.00 8060.42 15995.38 5078.71 6386.32 12091.33 106
plane_prior592.44 4595.38 5078.71 6386.32 12091.33 106
plane_prior68.71 9290.38 4477.62 3486.16 122
mvs_anonymous79.42 14079.11 12580.34 19984.45 20857.97 24982.59 24487.62 19867.40 21676.17 15888.56 12868.47 5789.59 23470.65 14286.05 12393.47 49
HQP3-MVS92.19 5585.99 124
HQP-MVS82.61 7382.02 7484.37 8389.33 10066.98 12389.17 6892.19 5576.41 5977.23 13590.23 9160.17 16295.11 5877.47 7585.99 12491.03 112
BH-w/o78.21 15977.33 16180.84 19288.81 12165.13 15784.87 20587.85 19569.75 17574.52 18984.74 23761.34 14293.11 14558.24 23885.84 12684.27 286
CHOSEN 1792x268877.63 17875.69 19083.44 11189.98 8168.58 9778.70 27887.50 20156.38 30375.80 16286.84 17258.67 16791.40 20261.58 21085.75 12790.34 144
cascas76.72 19574.64 20882.99 13185.78 18965.88 13982.33 24689.21 15660.85 27272.74 20181.02 27947.28 26893.75 11667.48 16385.02 12889.34 180
FIs82.07 7882.42 6681.04 19088.80 12258.34 24388.26 10393.49 1276.93 4978.47 10391.04 7769.92 4792.34 17069.87 14884.97 12992.44 78
test-LLR72.94 24772.43 23074.48 27981.35 27958.04 24778.38 27977.46 30166.66 21869.95 24479.00 29448.06 26579.24 30566.13 17384.83 13086.15 265
test-mter71.41 25570.39 25374.48 27981.35 27958.04 24778.38 27977.46 30160.32 27569.95 24479.00 29436.08 31979.24 30566.13 17384.83 13086.15 265
diffmvs79.51 13578.59 13382.25 15983.31 24462.66 21284.17 22488.11 18767.64 20976.09 15987.47 15664.01 9191.15 20871.71 13784.82 13292.94 68
EI-MVSNet-Vis-set84.19 5383.81 5385.31 5988.18 14067.85 10987.66 11689.73 14080.05 1782.95 5789.59 10370.74 4194.82 7280.66 5384.72 13393.28 54
GG-mvs-BLEND75.38 27381.59 27455.80 28579.32 27169.63 33167.19 27473.67 31743.24 28888.90 25650.41 27284.50 13481.45 308
FC-MVSNet-test81.52 8882.02 7480.03 20588.42 13555.97 28087.95 11093.42 1477.10 4577.38 13090.98 8269.96 4691.79 18368.46 15884.50 13492.33 80
PVSNet64.34 1872.08 25270.87 25075.69 26986.21 18556.44 27374.37 30280.73 27562.06 26570.17 23882.23 26042.86 29283.31 29254.77 25784.45 13687.32 239
MS-PatchMatch73.83 22872.67 22777.30 25383.87 23166.02 13581.82 24984.66 22961.37 27068.61 26282.82 25447.29 26788.21 26159.27 22784.32 13777.68 319
TESTMET0.1,169.89 26869.00 25972.55 28979.27 30356.85 26578.38 27974.71 31757.64 29568.09 26677.19 30537.75 31376.70 31663.92 19084.09 13884.10 290
EI-MVSNet-UG-set83.81 5583.38 5685.09 6687.87 14767.53 11387.44 12789.66 14179.74 1882.23 6689.41 11270.24 4494.74 7479.95 5783.92 13992.99 67
LPG-MVS_test82.08 7781.27 8184.50 7989.23 10868.76 8890.22 4891.94 6775.37 7876.64 14491.51 6754.29 20094.91 6778.44 6583.78 14089.83 170
LGP-MVS_train84.50 7989.23 10868.76 8891.94 6775.37 7876.64 14491.51 6754.29 20094.91 6778.44 6583.78 14089.83 170
conf200view1176.55 19675.55 19379.57 21689.52 9356.99 26385.83 18083.23 24573.94 9876.32 15187.12 16751.89 22491.95 17748.33 28283.75 14289.78 173
thres100view90076.50 19875.55 19379.33 21889.52 9356.99 26385.83 18083.23 24573.94 9876.32 15187.12 16751.89 22491.95 17748.33 28283.75 14289.07 183
tfpn200view976.42 20175.37 19879.55 21789.13 11257.65 25585.17 19983.60 23873.41 11476.45 14686.39 19552.12 21891.95 17748.33 28283.75 14289.07 183
thres40076.50 19875.37 19879.86 20789.13 11257.65 25585.17 19983.60 23873.41 11476.45 14686.39 19552.12 21891.95 17748.33 28283.75 14290.00 159
thres600view776.50 19875.44 19579.68 21189.40 9857.16 26085.53 19483.23 24573.79 10676.26 15387.09 16951.89 22491.89 18148.05 28883.72 14690.00 159
thres20075.55 21674.47 21278.82 23087.78 15857.85 25283.07 24283.51 24172.44 13875.84 16184.42 23952.08 22091.75 18647.41 29083.64 14786.86 250
XVG-OURS80.41 11279.23 12383.97 10085.64 19169.02 8183.03 24390.39 11271.09 15677.63 12791.49 6954.62 19991.35 20375.71 9483.47 14891.54 101
view60076.20 20575.21 20179.16 22389.64 8655.82 28185.74 18482.06 26173.88 10175.74 16387.85 14351.84 22791.66 19446.75 29283.42 14990.00 159
view80076.20 20575.21 20179.16 22389.64 8655.82 28185.74 18482.06 26173.88 10175.74 16387.85 14351.84 22791.66 19446.75 29283.42 14990.00 159
conf0.05thres100076.20 20575.21 20179.16 22389.64 8655.82 28185.74 18482.06 26173.88 10175.74 16387.85 14351.84 22791.66 19446.75 29283.42 14990.00 159
tfpn76.20 20575.21 20179.16 22389.64 8655.82 28185.74 18482.06 26173.88 10175.74 16387.85 14351.84 22791.66 19446.75 29283.42 14990.00 159
CNLPA78.08 16376.79 16981.97 16490.40 7371.07 4787.59 11884.55 23066.03 22872.38 21289.64 10257.56 17586.04 27759.61 22483.35 15388.79 199
MVP-Stereo76.12 20974.46 21381.13 18985.37 19569.79 6884.42 21987.95 19365.03 23667.46 27185.33 22553.28 20991.73 18758.01 24083.27 15481.85 306
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
131476.53 19775.30 20080.21 20383.93 23062.32 21684.66 20888.81 17560.23 27670.16 23984.07 24255.30 19190.73 22067.37 16483.21 15587.59 233
mvs-test180.88 9579.40 11485.29 6085.13 19969.75 7089.28 6588.10 18974.99 8476.44 14986.72 17657.27 17794.26 8873.53 11583.18 15691.87 94
HyFIR lowres test77.53 17975.40 19783.94 10289.59 9166.62 12780.36 26288.64 18156.29 30476.45 14685.17 22757.64 17493.28 13561.34 21383.10 15791.91 93
ACMP74.13 681.51 9080.57 9084.36 8489.42 9768.69 9589.97 5191.50 8774.46 9075.04 18490.41 8853.82 20594.54 7777.56 7482.91 15889.86 169
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM73.20 880.78 10579.84 10183.58 10889.31 10568.37 9989.99 5091.60 8170.28 16877.25 13389.66 10153.37 20893.53 12674.24 10882.85 15988.85 196
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PMMVS69.34 27068.67 26171.35 29675.67 31662.03 21975.17 29673.46 32250.00 32568.68 25979.05 29252.07 22178.13 31061.16 21482.77 16073.90 327
PLCcopyleft70.83 1178.05 16476.37 17583.08 12691.88 5867.80 11088.19 10489.46 14764.33 24369.87 24688.38 13253.66 20693.58 12358.86 23182.73 16187.86 227
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TR-MVS77.44 18676.18 18181.20 18688.24 13963.24 20284.61 21286.40 21367.55 21377.81 12386.48 19454.10 20293.15 14257.75 24282.72 16287.20 242
pcd1.5k->3k34.07 32035.26 32030.50 33586.92 1760.00 3560.00 34691.58 820.00 3500.00 3520.00 35256.23 1850.00 3530.00 35082.60 16391.49 104
ab-mvs79.51 13578.97 12881.14 18888.46 13360.91 22583.84 23089.24 15570.36 16679.03 9388.87 11963.23 10090.21 22665.12 18282.57 16492.28 83
HY-MVS69.67 1277.95 16877.15 16380.36 19887.57 16660.21 23183.37 24187.78 19666.11 22575.37 17387.06 17163.27 9890.48 22361.38 21282.43 16590.40 143
PS-MVSNAJss82.07 7881.31 8084.34 8686.51 18267.27 11989.27 6691.51 8571.75 14679.37 9090.22 9263.15 10294.27 8577.69 7382.36 16691.49 104
PVSNet_BlendedMVS80.60 10880.02 9782.36 15888.85 11765.40 14786.16 17192.00 6369.34 18278.11 11886.09 20566.02 7794.27 8571.52 13882.06 16787.39 236
WTY-MVS75.65 21575.68 19175.57 27186.40 18356.82 26677.92 28482.40 25565.10 23576.18 15687.72 14763.13 10580.90 29960.31 21981.96 16889.00 194
ACMMP++_ref81.95 169
DP-MVS76.78 19474.57 20983.42 11293.29 3269.46 7788.55 9183.70 23763.98 24770.20 23688.89 11854.01 20494.80 7346.66 29681.88 17086.01 270
CMPMVSbinary51.72 2170.19 26668.16 26676.28 26573.15 32557.55 25779.47 27083.92 23548.02 32756.48 32084.81 23543.13 28986.42 27562.67 19981.81 17184.89 281
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
tfpn_ndepth73.70 22972.75 22676.52 25887.78 15854.92 28984.32 22280.28 28267.57 21272.50 20484.82 23450.12 25289.44 23845.73 30281.66 17285.20 276
XVG-OURS-SEG-HR80.81 10079.76 10383.96 10185.60 19268.78 8783.54 23590.50 11070.66 16376.71 14291.66 6160.69 15491.26 20576.94 8281.58 17391.83 95
tfpn100073.44 23472.49 22976.29 26487.81 15453.69 29784.05 22978.81 29567.99 20872.09 21886.27 20149.95 25489.04 24944.09 31181.38 17486.15 265
MIMVSNet70.69 26069.30 25674.88 27684.52 20656.35 27675.87 29479.42 28864.59 23967.76 26782.41 25741.10 30181.54 29846.64 29881.34 17586.75 253
ACMMP++81.25 176
GA-MVS76.87 19375.17 20581.97 16482.75 25962.58 21381.44 25686.35 21572.16 14474.74 18782.89 25246.20 27492.02 17668.85 15581.09 17791.30 108
sss73.60 23173.64 21973.51 28682.80 25855.01 28876.12 29081.69 26762.47 26174.68 18885.85 21357.32 17678.11 31160.86 21680.93 17887.39 236
Effi-MVS+-dtu80.03 12678.57 13584.42 8285.13 19968.74 9088.77 8288.10 18974.99 8474.97 18583.49 24957.27 17793.36 13373.53 11580.88 17991.18 110
EG-PatchMatch MVS74.04 22671.82 24080.71 19584.92 20267.42 11585.86 17988.08 19166.04 22764.22 29483.85 24335.10 32192.56 16357.44 24480.83 18082.16 305
jajsoiax79.29 14277.96 14883.27 11884.68 20566.57 12989.25 6790.16 12669.20 18575.46 16989.49 10545.75 27993.13 14476.84 8480.80 18190.11 151
1112_ss77.40 18876.43 17380.32 20089.11 11460.41 23083.65 23287.72 19762.13 26473.05 19986.72 17662.58 12389.97 22862.11 20580.80 18190.59 132
mvs_tets79.13 14577.77 15483.22 12084.70 20466.37 13189.17 6890.19 12569.38 18175.40 17289.46 10844.17 28593.15 14276.78 8580.70 18390.14 149
PatchMatch-RL72.38 25070.90 24976.80 25788.60 12867.38 11779.53 26976.17 30762.75 25869.36 25282.00 26645.51 28084.89 28553.62 26280.58 18478.12 317
EI-MVSNet80.52 11179.98 9882.12 16084.28 20963.19 20586.41 16588.95 16974.18 9478.69 9787.54 15466.62 7092.43 16572.57 12780.57 18590.74 122
MVSTER79.01 14777.88 15082.38 15783.07 25164.80 16484.08 22888.95 16969.01 19278.69 9787.17 16654.70 19792.43 16574.69 10480.57 18589.89 168
testing_275.73 21473.34 22282.89 14077.37 30965.22 15484.10 22790.54 10969.09 18760.46 30581.15 27740.48 30392.84 15776.36 8680.54 18790.60 130
XVG-ACMP-BASELINE76.11 21074.27 21581.62 17783.20 24764.67 16683.60 23489.75 13969.75 17571.85 22087.09 16932.78 32292.11 17569.99 14780.43 18888.09 222
Fast-Effi-MVS+-dtu78.02 16576.49 17282.62 15483.16 25066.96 12586.94 14787.45 20372.45 13671.49 22584.17 24054.79 19691.58 20067.61 16180.31 18989.30 181
LTVRE_ROB69.57 1376.25 20474.54 21181.41 18288.60 12864.38 18179.24 27289.12 15870.76 16169.79 24887.86 14249.09 26193.20 13956.21 25280.16 19086.65 255
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
Test_1112_low_res76.40 20275.44 19579.27 21989.28 10658.09 24581.69 25287.07 20659.53 28272.48 20686.67 18261.30 14389.33 23960.81 21780.15 19190.41 142
test_djsdf80.30 11879.32 11783.27 11883.98 22965.37 15090.50 4090.38 11368.55 19876.19 15588.70 12156.44 18493.46 12878.98 6180.14 19290.97 115
CHOSEN 280x42066.51 28464.71 28371.90 29181.45 27663.52 19457.98 33668.95 33653.57 31562.59 30176.70 30646.22 27375.29 32355.25 25579.68 19376.88 325
thresconf0.0273.39 23572.42 23176.31 26087.85 14853.28 30083.38 23679.08 29068.40 20172.45 20786.08 20650.60 24589.19 24244.25 30779.66 19486.48 257
tfpn_n40073.39 23572.42 23176.31 26087.85 14853.28 30083.38 23679.08 29068.40 20172.45 20786.08 20650.60 24589.19 24244.25 30779.66 19486.48 257
tfpnconf73.39 23572.42 23176.31 26087.85 14853.28 30083.38 23679.08 29068.40 20172.45 20786.08 20650.60 24589.19 24244.25 30779.66 19486.48 257
tfpnview1173.39 23572.42 23176.31 26087.85 14853.28 30083.38 23679.08 29068.40 20172.45 20786.08 20650.60 24589.19 24244.25 30779.66 19486.48 257
GBi-Net78.40 15577.40 15981.40 18387.60 16263.01 20788.39 9689.28 15171.63 14875.34 17487.28 15954.80 19391.11 20962.72 19679.57 19890.09 153
test178.40 15577.40 15981.40 18387.60 16263.01 20788.39 9689.28 15171.63 14875.34 17487.28 15954.80 19391.11 20962.72 19679.57 19890.09 153
FMVSNet377.88 17176.85 16780.97 19186.84 17862.36 21486.52 16288.77 17671.13 15475.34 17486.66 18354.07 20391.10 21262.72 19679.57 19889.45 179
FMVSNet278.20 16077.21 16281.20 18687.60 16262.89 21187.47 12689.02 16071.63 14875.29 17887.28 15954.80 19391.10 21262.38 20079.38 20189.61 177
anonymousdsp78.60 15377.15 16382.98 13280.51 28967.08 12187.24 13589.53 14465.66 23175.16 18087.19 16552.52 21092.25 17277.17 7979.34 20289.61 177
nrg03083.88 5483.53 5484.96 6986.77 18069.28 7990.46 4292.67 4074.79 8782.95 5791.33 7272.70 2793.09 14680.79 5279.28 20392.50 76
VPA-MVSNet80.60 10880.55 9180.76 19488.07 14260.80 22786.86 15091.58 8275.67 7380.24 8589.45 11063.34 9690.25 22570.51 14379.22 20491.23 109
F-COLMAP76.38 20374.33 21482.50 15589.28 10666.95 12688.41 9589.03 15964.05 24566.83 27788.61 12546.78 27192.89 15357.48 24378.55 20587.67 230
FMVSNet177.44 18676.12 18281.40 18386.81 17963.01 20788.39 9689.28 15170.49 16574.39 19087.28 15949.06 26291.11 20960.91 21578.52 20690.09 153
MDTV_nov1_ep1369.97 25583.18 24853.48 29877.10 28880.18 28460.45 27369.33 25380.44 28348.89 26386.90 27051.60 26878.51 207
CVMVSNet72.99 24672.58 22874.25 28284.28 20950.85 31486.41 16583.45 24344.56 32973.23 19787.54 15449.38 25785.70 27965.90 17778.44 20886.19 264
tpm273.26 24271.46 24278.63 23283.34 24356.71 26980.65 26080.40 27956.63 30273.55 19382.02 26551.80 23191.24 20656.35 25178.42 20987.95 224
CostFormer75.24 22073.90 21879.27 21982.65 26358.27 24480.80 25782.73 25361.57 26775.33 17783.13 25155.52 18991.07 21564.98 18578.34 21088.45 216
ACMH67.68 1675.89 21273.93 21781.77 16888.71 12666.61 12888.62 8889.01 16269.81 17366.78 27886.70 18141.95 29991.51 20155.64 25378.14 21187.17 243
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CR-MVSNet73.37 23971.27 24579.67 21281.32 28165.19 15575.92 29280.30 28059.92 27972.73 20281.19 27552.50 21186.69 27159.84 22277.71 21287.11 246
RPMNet71.62 25368.94 26079.67 21281.32 28165.19 15575.92 29278.30 29857.60 29672.73 20276.45 30852.30 21586.69 27148.14 28777.71 21287.11 246
Patchmatch-test173.49 23271.85 23978.41 23884.05 22862.17 21879.96 26679.29 28966.30 22472.38 21279.58 29151.95 22385.08 28455.46 25477.67 21487.99 223
tpmp4_e2373.45 23371.17 24780.31 20183.55 23959.56 23581.88 24882.33 25657.94 29370.51 23381.62 27351.19 23791.63 19853.96 26077.51 21589.75 175
v780.24 11979.26 12283.15 12284.07 22664.94 16187.56 12290.67 10372.26 14178.28 11086.51 19361.45 14094.03 9775.14 10277.41 21690.49 138
DWT-MVSNet_test73.70 22971.86 23879.21 22182.91 25658.94 23882.34 24582.17 25865.21 23371.05 22978.31 29644.21 28490.17 22763.29 19477.28 21788.53 215
v114480.03 12679.03 12683.01 13083.78 23564.51 17287.11 14290.57 10871.96 14578.08 12086.20 20361.41 14193.94 10074.93 10377.23 21890.60 130
WR-MVS79.49 13779.22 12480.27 20288.79 12358.35 24285.06 20288.61 18278.56 2977.65 12688.34 13363.81 9490.66 22164.98 18577.22 21991.80 98
v119279.59 13478.43 14083.07 12783.55 23964.52 17086.93 14890.58 10770.83 15877.78 12485.90 21059.15 16593.94 10073.96 11077.19 22090.76 120
VPNet78.69 15278.66 13178.76 23188.31 13855.72 28684.45 21786.63 21076.79 5178.26 11490.55 8759.30 16489.70 23366.63 17177.05 22190.88 117
v1neww80.40 11379.54 10882.98 13284.10 22064.51 17287.57 11990.22 12273.25 11778.47 10386.65 18462.83 11093.86 10675.72 9277.02 22290.58 133
v7new80.40 11379.54 10882.98 13284.10 22064.51 17287.57 11990.22 12273.25 11778.47 10386.65 18462.83 11093.86 10675.72 9277.02 22290.58 133
v680.40 11379.54 10882.98 13284.09 22264.50 17687.57 11990.22 12273.25 11778.47 10386.63 18662.84 10993.86 10675.73 9177.02 22290.58 133
v124078.99 14877.78 15382.64 15383.21 24663.54 19386.62 15990.30 12069.74 17777.33 13185.68 21557.04 18293.76 11573.13 12076.92 22590.62 128
MSDG73.36 24170.99 24880.49 19684.51 20765.80 14080.71 25986.13 21865.70 23065.46 28683.74 24644.60 28290.91 21751.13 27076.89 22684.74 283
IterMVS-LS80.06 12579.38 11582.11 16185.89 18763.20 20486.79 15389.34 14974.19 9375.45 17086.72 17666.62 7092.39 16772.58 12676.86 22790.75 121
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v192192079.22 14378.03 14782.80 14683.30 24563.94 19086.80 15290.33 11869.91 17277.48 12985.53 22158.44 16993.75 11673.60 11476.85 22890.71 123
XXY-MVS75.41 21875.56 19274.96 27583.59 23857.82 25380.59 26183.87 23666.54 22274.93 18688.31 13463.24 9980.09 30362.16 20376.85 22886.97 248
v114180.19 12279.31 11882.85 14183.84 23264.12 18587.14 13790.08 12973.13 12078.27 11186.39 19562.67 11993.75 11675.40 9976.83 23090.68 124
divwei89l23v2f11280.19 12279.31 11882.85 14183.84 23264.11 18787.13 14090.08 12973.13 12078.27 11186.39 19562.69 11793.75 11675.40 9976.82 23190.68 124
v180.19 12279.31 11882.85 14183.83 23464.12 18587.14 13790.07 13173.13 12078.27 11186.38 19962.72 11693.75 11675.41 9876.82 23190.68 124
v2v48280.23 12079.29 12183.05 12883.62 23764.14 18387.04 14489.97 13373.61 10878.18 11787.22 16361.10 14893.82 10976.11 8776.78 23391.18 110
v14419279.47 13878.37 14182.78 14983.35 24263.96 18986.96 14690.36 11669.99 17177.50 12885.67 21660.66 15593.77 11474.27 10776.58 23490.62 128
UniMVSNet (Re)81.60 8781.11 8483.09 12588.38 13664.41 18087.60 11793.02 2578.42 3178.56 10088.16 13769.78 4893.26 13669.58 15076.49 23591.60 99
UniMVSNet_NR-MVSNet81.88 8181.54 7982.92 13788.46 13363.46 19687.13 14092.37 4980.19 1578.38 10789.14 11471.66 3493.05 14870.05 14576.46 23692.25 84
DU-MVS81.12 9380.52 9282.90 13887.80 15563.46 19687.02 14591.87 7179.01 2678.38 10789.07 11565.02 8493.05 14870.05 14576.46 23692.20 86
PatchmatchNetpermissive73.12 24471.33 24478.49 23783.18 24860.85 22679.63 26878.57 29664.13 24471.73 22179.81 29051.20 23685.97 27857.40 24576.36 23888.66 202
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
USDC70.33 26468.37 26376.21 26680.60 28756.23 27779.19 27486.49 21160.89 27161.29 30285.47 22331.78 32589.47 23753.37 26376.21 23982.94 302
OpenMVS_ROBcopyleft64.09 1970.56 26268.19 26577.65 24780.26 29059.41 23785.01 20382.96 25158.76 28765.43 28782.33 25837.63 31591.23 20745.34 30576.03 24082.32 303
ACMH+68.96 1476.01 21174.01 21682.03 16388.60 12865.31 15288.86 7887.55 19970.25 16967.75 26887.47 15641.27 30093.19 14058.37 23675.94 24187.60 232
PatchFormer-LS_test74.50 22273.05 22478.86 22982.95 25559.55 23681.65 25382.30 25767.44 21571.62 22378.15 29852.34 21488.92 25565.05 18475.90 24288.12 221
tpm72.37 25171.71 24174.35 28182.19 26852.00 30579.22 27377.29 30364.56 24072.95 20083.68 24851.35 23483.26 29358.33 23775.80 24387.81 228
Anonymous2023120668.60 27267.80 27371.02 29880.23 29250.75 31578.30 28280.47 27756.79 30166.11 28482.63 25646.35 27278.95 30743.62 31375.70 24483.36 294
v7n78.97 14977.58 15783.14 12383.45 24165.51 14588.32 9991.21 9373.69 10772.41 21186.32 20057.93 17293.81 11069.18 15375.65 24590.11 151
NR-MVSNet80.23 12079.38 11582.78 14987.80 15563.34 19986.31 16891.09 9779.01 2672.17 21489.07 11567.20 6792.81 15866.08 17675.65 24592.20 86
v1079.74 13278.67 13082.97 13684.06 22764.95 16087.88 11490.62 10673.11 12375.11 18286.56 19061.46 13994.05 9673.68 11175.55 24789.90 167
IB-MVS68.01 1575.85 21373.36 22183.31 11684.76 20366.03 13483.38 23685.06 22670.21 17069.40 25081.05 27845.76 27894.66 7665.10 18375.49 24889.25 182
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
V4279.38 14178.24 14582.83 14481.10 28365.50 14685.55 19289.82 13771.57 15178.21 11586.12 20460.66 15593.18 14175.64 9575.46 24989.81 172
v879.97 12879.02 12782.80 14684.09 22264.50 17687.96 10990.29 12174.13 9675.24 17986.81 17362.88 10793.89 10574.39 10675.40 25090.00 159
Baseline_NR-MVSNet78.15 16278.33 14377.61 24885.79 18856.21 27886.78 15485.76 22173.60 10977.93 12287.57 15265.02 8488.99 25067.14 16875.33 25187.63 231
pmmvs571.55 25470.20 25475.61 27077.83 30656.39 27481.74 25180.89 27257.76 29467.46 27184.49 23849.26 26085.32 28357.08 24875.29 25285.11 280
EPMVS69.02 27168.16 26671.59 29279.61 29749.80 32077.40 28666.93 33862.82 25770.01 24179.05 29245.79 27777.86 31356.58 25075.26 25387.13 245
TranMVSNet+NR-MVSNet80.84 9780.31 9482.42 15687.85 14862.33 21587.74 11591.33 9080.55 1277.99 12189.86 9865.23 8292.62 16067.05 16975.24 25492.30 82
tfpnnormal74.39 22373.16 22378.08 24186.10 18658.05 24684.65 21187.53 20070.32 16771.22 22785.63 21854.97 19289.86 22943.03 31475.02 25586.32 262
COLMAP_ROBcopyleft66.92 1773.01 24570.41 25280.81 19387.13 17465.63 14288.30 10084.19 23462.96 25463.80 29787.69 14938.04 31292.56 16346.66 29674.91 25684.24 287
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PatchT68.46 27567.85 27170.29 30080.70 28643.93 32872.47 30574.88 31360.15 27770.55 23176.57 30749.94 25581.59 29750.58 27174.83 25785.34 275
pmmvs474.03 22771.91 23780.39 19781.96 27068.32 10081.45 25582.14 25959.32 28369.87 24685.13 22852.40 21388.13 26360.21 22074.74 25884.73 284
ITE_SJBPF78.22 24081.77 27260.57 22883.30 24469.25 18467.54 27087.20 16436.33 31887.28 26954.34 25874.62 25986.80 251
test0.0.03 168.00 27667.69 27568.90 30577.55 30747.43 32275.70 29572.95 32466.66 21866.56 27982.29 25948.06 26575.87 32044.97 30674.51 26083.41 293
test_040272.79 24870.44 25179.84 20888.13 14165.99 13685.93 17784.29 23265.57 23267.40 27385.49 22246.92 27092.61 16135.88 32574.38 26180.94 309
CP-MVSNet78.22 15878.34 14277.84 24487.83 15354.54 29187.94 11191.17 9577.65 3373.48 19488.49 12962.24 13188.43 25962.19 20274.07 26290.55 136
FMVSNet569.50 26967.96 26974.15 28382.97 25455.35 28780.01 26582.12 26062.56 26063.02 29881.53 27436.92 31681.92 29648.42 28174.06 26385.17 279
MVS-HIRNet59.14 29957.67 30163.57 31581.65 27343.50 32971.73 30665.06 34139.59 33451.43 32957.73 33438.34 31182.58 29539.53 32073.95 26464.62 334
tpmrst72.39 24972.13 23673.18 28880.54 28849.91 31879.91 26779.08 29063.11 25171.69 22279.95 28755.32 19082.77 29465.66 18073.89 26586.87 249
PS-CasMVS78.01 16678.09 14677.77 24687.71 16054.39 29388.02 10791.22 9277.50 4073.26 19688.64 12460.73 15288.41 26061.88 20673.88 26690.53 137
v14878.72 15177.80 15281.47 18182.73 26061.96 22086.30 16988.08 19173.26 11676.18 15685.47 22362.46 12792.36 16971.92 13673.82 26790.09 153
Patchmatch-test64.82 29063.24 28869.57 30279.42 29949.82 31963.49 33169.05 33551.98 32159.95 30880.13 28650.91 23970.98 33440.66 31973.57 26887.90 226
WR-MVS_H78.51 15478.49 13678.56 23488.02 14456.38 27588.43 9292.67 4077.14 4373.89 19287.55 15366.25 7389.24 24158.92 23073.55 26990.06 157
testgi66.67 28366.53 27967.08 31075.62 31741.69 33375.93 29176.50 30666.11 22565.20 29086.59 18835.72 32074.71 32443.71 31273.38 27084.84 282
pm-mvs177.25 18976.68 17078.93 22884.22 21258.62 24086.41 16588.36 18571.37 15373.31 19588.01 14161.22 14689.15 24764.24 18973.01 27189.03 191
V477.95 16876.37 17582.67 15179.40 30065.52 14386.43 16389.94 13472.28 13972.14 21784.95 23255.72 18793.44 13073.64 11272.86 27289.05 189
v5277.94 17076.37 17582.67 15179.39 30165.52 14386.43 16389.94 13472.28 13972.15 21684.94 23355.70 18893.44 13073.64 11272.84 27389.06 185
v74877.97 16776.65 17181.92 16682.29 26763.28 20187.53 12390.35 11773.50 11370.76 23085.55 22058.28 17092.81 15868.81 15672.76 27489.67 176
tpmvs71.09 25769.29 25776.49 25982.04 26956.04 27978.92 27681.37 27164.05 24567.18 27578.28 29749.74 25689.77 23049.67 27872.37 27583.67 291
PEN-MVS77.73 17377.69 15677.84 24487.07 17553.91 29587.91 11391.18 9477.56 3773.14 19888.82 12061.23 14589.17 24659.95 22172.37 27590.43 141
DSMNet-mixed57.77 30356.90 30360.38 31967.70 33535.61 33969.18 31653.97 34532.30 34057.49 31679.88 28840.39 30568.57 33838.78 32172.37 27576.97 322
semantic-postprocess80.11 20482.69 26264.85 16383.47 24269.16 18670.49 23484.15 24150.83 24388.15 26269.23 15272.14 27887.34 238
tpm cat170.57 26168.31 26477.35 25282.41 26657.95 25078.08 28380.22 28352.04 32068.54 26377.66 30352.00 22287.84 26651.77 26772.07 27986.25 263
RPSCF73.23 24371.46 24278.54 23582.50 26559.85 23282.18 24782.84 25258.96 28571.15 22889.41 11245.48 28184.77 28658.82 23271.83 28091.02 114
IterMVS74.29 22472.94 22578.35 23981.53 27563.49 19581.58 25482.49 25468.06 20769.99 24383.69 24751.66 23385.54 28065.85 17871.64 28186.01 270
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
AllTest70.96 25868.09 26879.58 21485.15 19763.62 19184.58 21379.83 28562.31 26260.32 30686.73 17432.02 32388.96 25350.28 27371.57 28286.15 265
TestCases79.58 21485.15 19763.62 19179.83 28562.31 26260.32 30686.73 17432.02 32388.96 25350.28 27371.57 28286.15 265
Patchmtry70.74 25969.16 25875.49 27280.72 28554.07 29474.94 30180.30 28058.34 28970.01 24181.19 27552.50 21186.54 27353.37 26371.09 28485.87 272
test235659.50 29858.08 29863.74 31471.23 32941.88 33167.59 32372.42 32653.72 31457.65 31570.74 32226.31 32972.40 33132.03 33271.06 28576.93 323
DTE-MVSNet76.99 19176.80 16877.54 25086.24 18453.06 30487.52 12490.66 10577.08 4672.50 20488.67 12360.48 15889.52 23557.33 24670.74 28690.05 158
MIMVSNet168.58 27366.78 27873.98 28480.07 29351.82 30680.77 25884.37 23164.40 24259.75 30982.16 26136.47 31783.63 29042.73 31570.33 28786.48 257
pmmvs674.69 22173.39 22078.61 23381.38 27857.48 25886.64 15887.95 19364.99 23770.18 23786.61 18750.43 25089.52 23562.12 20470.18 28888.83 197
TinyColmap67.30 28064.81 28274.76 27881.92 27156.68 27080.29 26381.49 27060.33 27456.27 32183.22 25024.77 33287.66 26845.52 30369.47 28979.95 313
OurMVSNet-221017-074.26 22572.42 23179.80 20983.76 23659.59 23385.92 17886.64 20966.39 22366.96 27687.58 15139.46 30691.60 19965.76 17969.27 29088.22 219
JIA-IIPM66.32 28662.82 29276.82 25677.09 31261.72 22265.34 32875.38 30958.04 29264.51 29262.32 33142.05 29886.51 27451.45 26969.22 29182.21 304
ADS-MVSNet266.20 28763.33 28774.82 27779.92 29458.75 23967.55 32475.19 31153.37 31665.25 28875.86 30942.32 29580.53 30141.57 31768.91 29285.18 277
ADS-MVSNet64.36 29262.88 29168.78 30779.92 29447.17 32367.55 32471.18 32753.37 31665.25 28875.86 30942.32 29573.99 32841.57 31768.91 29285.18 277
test20.0367.45 27866.95 27768.94 30475.48 31944.84 32677.50 28577.67 30066.66 21863.01 29983.80 24447.02 26978.40 30942.53 31668.86 29483.58 292
testus59.00 30057.91 29962.25 31772.25 32739.09 33669.74 31275.02 31253.04 31857.21 31773.72 31618.76 34070.33 33532.86 32868.57 29577.35 320
EU-MVSNet68.53 27467.61 27671.31 29778.51 30547.01 32484.47 21484.27 23342.27 33066.44 28284.79 23640.44 30483.76 28858.76 23368.54 29683.17 295
v1677.69 17476.36 17881.68 17484.15 21764.63 16987.33 13088.99 16472.69 13469.31 25482.08 26262.80 11391.79 18372.70 12467.23 29788.63 204
v1877.67 17776.35 17981.64 17684.09 22264.47 17887.27 13389.01 16272.59 13569.39 25182.04 26462.85 10891.80 18272.72 12367.20 29888.63 204
v1777.68 17576.35 17981.69 17384.15 21764.65 16787.33 13088.99 16472.70 13369.25 25582.07 26362.82 11291.79 18372.69 12567.15 29988.63 204
v1177.45 18576.06 18881.59 17984.22 21264.52 17087.11 14289.02 16072.76 13168.76 25881.90 27262.09 13391.71 19171.98 13466.73 30088.56 213
LF4IMVS64.02 29362.19 29369.50 30370.90 33053.29 29976.13 28977.18 30452.65 31958.59 31080.98 28023.55 33376.52 31753.06 26566.66 30178.68 316
Patchmatch-RL test70.24 26567.78 27477.61 24877.43 30859.57 23471.16 30770.33 32862.94 25568.65 26072.77 31850.62 24485.49 28169.58 15066.58 30287.77 229
dp66.80 28165.43 28170.90 29979.74 29648.82 32175.12 29974.77 31559.61 28164.08 29577.23 30442.89 29180.72 30048.86 28066.58 30283.16 296
v1577.51 18276.12 18281.66 17584.09 22264.65 16787.14 13788.96 16872.76 13168.90 25681.91 27162.74 11591.73 18772.32 12966.29 30488.61 207
V1477.52 18076.12 18281.70 17284.15 21764.77 16587.21 13688.95 16972.80 13068.79 25781.94 27062.69 11791.72 18972.31 13066.27 30588.60 208
V977.52 18076.11 18581.73 17184.19 21664.89 16287.26 13488.94 17272.87 12968.65 26081.96 26962.65 12091.72 18972.27 13166.24 30688.60 208
v1377.50 18476.07 18781.77 16884.23 21165.07 15887.34 12988.91 17472.92 12668.35 26581.97 26762.53 12591.69 19372.20 13366.22 30788.56 213
v1277.51 18276.09 18681.76 17084.22 21264.99 15987.30 13288.93 17372.92 12668.48 26481.97 26762.54 12491.70 19272.24 13266.21 30888.58 211
FPMVS53.68 30851.64 30859.81 32065.08 33651.03 31269.48 31569.58 33241.46 33140.67 33472.32 31916.46 34370.00 33624.24 34065.42 30958.40 336
pmmvs-eth3d70.50 26367.83 27278.52 23677.37 30966.18 13381.82 24981.51 26958.90 28663.90 29680.42 28442.69 29386.28 27658.56 23465.30 31083.11 297
N_pmnet52.79 30953.26 30751.40 32878.99 3047.68 35369.52 3143.89 35451.63 32357.01 31874.98 31240.83 30265.96 34137.78 32364.67 31180.56 312
PM-MVS66.41 28564.14 28573.20 28773.92 32056.45 27278.97 27564.96 34263.88 24964.72 29180.24 28519.84 33883.44 29166.24 17264.52 31279.71 314
SixPastTwentyTwo73.37 23971.26 24679.70 21085.08 20157.89 25185.57 18883.56 24071.03 15765.66 28585.88 21142.10 29792.57 16259.11 22963.34 31388.65 203
test123567858.74 30156.89 30464.30 31269.70 33141.87 33271.05 30874.87 31454.06 31150.63 33071.53 32125.30 33174.10 32731.80 33363.10 31476.93 323
testpf56.51 30557.58 30253.30 32571.99 32841.19 33446.89 34169.32 33458.06 29152.87 32869.45 32627.99 32772.73 33059.59 22562.07 31545.98 339
TransMVSNet (Re)75.39 21974.56 21077.86 24385.50 19457.10 26286.78 15486.09 21972.17 14371.53 22487.34 15863.01 10689.31 24056.84 24961.83 31687.17 243
MDA-MVSNet_test_wron65.03 28862.92 28971.37 29475.93 31456.73 26769.09 31974.73 31657.28 29954.03 32477.89 30045.88 27574.39 32649.89 27761.55 31782.99 300
YYNet165.03 28862.91 29071.38 29375.85 31556.60 27169.12 31874.66 31957.28 29954.12 32377.87 30145.85 27674.48 32549.95 27661.52 31883.05 298
111157.11 30456.82 30557.97 32269.10 33228.28 34468.90 32074.54 32054.01 31253.71 32574.51 31323.09 33467.90 33932.28 33061.26 31977.73 318
ambc75.24 27473.16 32450.51 31663.05 33287.47 20264.28 29377.81 30217.80 34189.73 23257.88 24160.64 32085.49 273
TDRefinement67.49 27764.34 28476.92 25573.47 32361.07 22384.86 20682.98 25059.77 28058.30 31285.13 22826.06 33087.89 26547.92 28960.59 32181.81 307
Gipumacopyleft45.18 31541.86 31655.16 32477.03 31351.52 30932.50 34480.52 27632.46 33827.12 34035.02 3419.52 34975.50 32122.31 34160.21 32238.45 341
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new-patchmatchnet61.73 29561.73 29561.70 31872.74 32624.50 34969.16 31778.03 29961.40 26856.72 31975.53 31138.42 31076.48 31845.95 30157.67 32384.13 289
Anonymous2023121164.82 29061.79 29473.91 28577.11 31150.92 31385.29 19781.53 26854.19 31057.98 31378.03 29926.90 32887.83 26737.92 32257.12 32482.99 300
MDA-MVSNet-bldmvs66.68 28263.66 28675.75 26879.28 30260.56 22973.92 30378.35 29764.43 24150.13 33179.87 28944.02 28683.67 28946.10 30056.86 32583.03 299
new_pmnet50.91 31150.29 31052.78 32668.58 33434.94 34263.71 33056.63 34439.73 33344.95 33265.47 32921.93 33658.48 34334.98 32656.62 32664.92 333
LP61.36 29757.78 30072.09 29075.54 31858.53 24167.16 32675.22 31051.90 32254.13 32269.97 32437.73 31480.45 30232.74 32955.63 32777.29 321
PMVScopyleft37.38 2244.16 31640.28 31755.82 32340.82 35042.54 33065.12 32963.99 34334.43 33724.48 34157.12 3363.92 35276.17 31917.10 34355.52 32848.75 337
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
pmmvs357.79 30254.26 30668.37 30864.02 33756.72 26875.12 29965.17 34040.20 33252.93 32769.86 32520.36 33775.48 32245.45 30455.25 32972.90 328
UnsupCasMVSNet_eth67.33 27965.99 28071.37 29473.48 32251.47 31075.16 29785.19 22565.20 23460.78 30480.93 28242.35 29477.20 31557.12 24753.69 33085.44 274
K. test v371.19 25668.51 26279.21 22183.04 25357.78 25484.35 22176.91 30572.90 12862.99 30082.86 25339.27 30791.09 21461.65 20952.66 33188.75 200
UnsupCasMVSNet_bld63.70 29461.53 29670.21 30173.69 32151.39 31172.82 30481.89 26555.63 30657.81 31471.80 32038.67 30978.61 30849.26 27952.21 33280.63 310
LCM-MVSNet54.25 30649.68 31267.97 30953.73 34445.28 32566.85 32780.78 27435.96 33639.45 33662.23 3328.70 35078.06 31248.24 28651.20 33380.57 311
testmv53.85 30751.03 30962.31 31661.46 33938.88 33770.95 31174.69 31851.11 32441.26 33366.85 32714.28 34472.13 33229.19 33549.51 33475.93 326
lessismore_v078.97 22781.01 28457.15 26165.99 33961.16 30382.82 25439.12 30891.34 20459.67 22346.92 33588.43 217
test1235649.28 31348.51 31351.59 32762.06 33819.11 35060.40 33372.45 32547.60 32840.64 33565.68 32813.84 34568.72 33727.29 33746.67 33666.94 332
PVSNet_057.27 2061.67 29659.27 29768.85 30679.61 29757.44 25968.01 32273.44 32355.93 30558.54 31170.41 32344.58 28377.55 31447.01 29135.91 33771.55 329
PMMVS240.82 31738.86 31846.69 33053.84 34316.45 35148.61 34049.92 34737.49 33531.67 33860.97 3338.14 35156.42 34428.42 33630.72 33867.19 331
no-one51.08 31045.79 31566.95 31157.92 34250.49 31759.63 33576.04 30848.04 32631.85 33756.10 33719.12 33980.08 30436.89 32426.52 33970.29 330
DeepMVS_CXcopyleft27.40 33640.17 35126.90 34724.59 35317.44 34523.95 34248.61 3389.77 34826.48 34818.06 34224.47 34028.83 342
MVEpermissive26.22 2330.37 32325.89 32543.81 33144.55 34935.46 34128.87 34539.07 35018.20 34418.58 34540.18 3402.68 35347.37 34717.07 34423.78 34148.60 338
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuykxyi23d39.76 31833.18 32159.51 32146.98 34844.01 32757.70 33767.74 33724.13 34213.98 34834.33 3421.27 35571.33 33334.23 32718.23 34263.18 335
E-PMN31.77 32130.64 32235.15 33252.87 34527.67 34657.09 33847.86 34824.64 34116.40 34633.05 34311.23 34754.90 34514.46 34518.15 34322.87 343
PNet_i23d38.26 31935.42 31946.79 32958.74 34035.48 34059.65 33451.25 34632.45 33923.44 34447.53 3392.04 35458.96 34225.60 33918.09 34445.92 340
EMVS30.81 32229.65 32334.27 33350.96 34625.95 34856.58 33946.80 34924.01 34315.53 34730.68 34412.47 34654.43 34612.81 34617.05 34522.43 344
ANet_high50.57 31246.10 31463.99 31348.67 34739.13 33570.99 31080.85 27361.39 26931.18 33957.70 33517.02 34273.65 32931.22 33415.89 34679.18 315
tmp_tt18.61 32521.40 32610.23 3384.82 35210.11 35234.70 34330.74 3521.48 34723.91 34326.07 34528.42 32613.41 35027.12 33815.35 3477.17 345
wuyk23d16.82 32615.94 32719.46 33758.74 34031.45 34339.22 3423.74 3556.84 3466.04 3492.70 3491.27 35524.29 34910.54 34714.40 3482.63 346
.test124545.55 31450.02 31132.14 33469.10 33228.28 34468.90 32074.54 32054.01 31253.71 32574.51 31323.09 33467.90 33932.28 3300.02 3490.25 348
testmvs6.04 3298.02 3300.10 3400.08 3530.03 35569.74 3120.04 3560.05 3480.31 3501.68 3500.02 3580.04 3510.24 3480.02 3490.25 348
test1236.12 3288.11 3290.14 3390.06 3540.09 35471.05 3080.03 3570.04 3490.25 3511.30 3510.05 3570.03 3520.21 3490.01 3510.29 347
cdsmvs_eth3d_5k19.96 32426.61 3240.00 3410.00 3550.00 3560.00 34689.26 1540.00 3500.00 35288.61 12561.62 1370.00 3530.00 3500.00 3520.00 350
pcd_1.5k_mvsjas5.26 3307.02 3310.00 3410.00 3550.00 3560.00 3460.00 3580.00 3500.00 3520.00 35263.15 1020.00 3530.00 3500.00 3520.00 350
sosnet-low-res0.00 3310.00 3320.00 3410.00 3550.00 3560.00 3460.00 3580.00 3500.00 3520.00 3520.00 3590.00 3530.00 3500.00 3520.00 350
sosnet0.00 3310.00 3320.00 3410.00 3550.00 3560.00 3460.00 3580.00 3500.00 3520.00 3520.00 3590.00 3530.00 3500.00 3520.00 350
uncertanet0.00 3310.00 3320.00 3410.00 3550.00 3560.00 3460.00 3580.00 3500.00 3520.00 3520.00 3590.00 3530.00 3500.00 3520.00 350
Regformer0.00 3310.00 3320.00 3410.00 3550.00 3560.00 3460.00 3580.00 3500.00 3520.00 3520.00 3590.00 3530.00 3500.00 3520.00 350
ab-mvs-re7.23 3279.64 3280.00 3410.00 3550.00 3560.00 3460.00 3580.00 3500.00 35286.72 1760.00 3590.00 3530.00 3500.00 3520.00 350
uanet0.00 3310.00 3320.00 3410.00 3550.00 3560.00 3460.00 3580.00 3500.00 3520.00 3520.00 3590.00 3530.00 3500.00 3520.00 350
test_part295.06 172.65 2691.80 1
test_all94.22 1
sam_mvs151.32 235
sam_mvs50.01 253
MTGPAbinary92.02 60
test_post178.90 2775.43 34848.81 26485.44 28259.25 228
test_post5.46 34750.36 25184.24 287
patchmatchnet-post74.00 31551.12 23888.60 258
MTMP32.83 351
gm-plane-assit81.40 27753.83 29662.72 25980.94 28192.39 16763.40 193
TEST993.26 3472.96 1988.75 8491.89 6968.44 20085.00 2893.10 3974.36 1795.41 48
test_893.13 3672.57 2988.68 8791.84 7268.69 19684.87 3493.10 3974.43 1495.16 56
agg_prior92.85 4271.94 4091.78 7584.41 4094.93 65
test_prior472.60 2889.01 75
test_prior86.33 4692.61 4769.59 7292.97 3195.48 4393.91 30
旧先验286.56 16158.10 29087.04 1488.98 25174.07 109
新几何286.29 170
无先验87.48 12588.98 16660.00 27894.12 9367.28 16588.97 195
原ACMM286.86 150
testdata291.01 21662.37 201
segment_acmp73.08 24
testdata184.14 22675.71 71
plane_prior790.08 7968.51 98
plane_prior689.84 8468.70 9460.42 159
plane_prior491.00 80
plane_prior368.60 9678.44 3078.92 95
plane_prior291.25 2879.12 23
plane_prior189.90 83
n20.00 358
nn0.00 358
door-mid69.98 330
test1192.23 52
door69.44 333
HQP5-MVS66.98 123
HQP-NCC89.33 10089.17 6876.41 5977.23 135
ACMP_Plane89.33 10089.17 6876.41 5977.23 135
BP-MVS77.47 75
HQP4-MVS77.24 13495.11 5891.03 112
HQP2-MVS60.17 162
NP-MVS89.62 9068.32 10090.24 90
MDTV_nov1_ep13_2view37.79 33875.16 29755.10 30766.53 28049.34 25853.98 25987.94 225
Test By Simon64.33 88