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
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
HPM-MVS++87.09 388.92 784.95 292.61 187.91 3090.23 876.06 288.85 681.20 487.33 887.93 679.47 588.59 488.23 490.15 2593.60 14
NCCC85.34 1386.59 1883.88 991.48 288.88 1789.79 1075.54 686.67 1477.94 1676.55 2884.99 1878.07 1088.04 787.68 790.46 1793.31 15
CNVR-MVS86.36 888.19 1184.23 591.33 389.84 890.34 575.56 587.36 1178.97 1081.19 2186.76 1078.74 689.30 288.58 190.45 1894.33 4
APDe-MVS88.00 190.50 185.08 190.95 491.58 392.03 175.53 791.15 180.10 792.27 288.34 580.80 288.00 986.99 1291.09 495.16 1
SteuartSystems-ACMMP85.99 988.31 1083.27 1490.73 589.84 890.27 774.31 984.56 2375.88 2287.32 985.04 1777.31 1789.01 388.46 291.14 393.96 6
Skip Steuart: Steuart Systems R&D Blog.
APD-MVScopyleft86.84 688.91 884.41 390.66 690.10 690.78 275.64 487.38 1078.72 1190.68 586.82 980.15 387.13 1886.45 2190.51 1293.83 8
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MP-MVScopyleft85.50 1287.40 1483.28 1390.65 789.51 1389.16 1674.11 1283.70 2678.06 1585.54 1384.89 2077.31 1787.40 1587.14 1190.41 1993.65 13
train_agg84.86 1887.21 1582.11 2090.59 885.47 4589.81 973.55 1883.95 2573.30 2989.84 787.23 875.61 2586.47 2685.46 2989.78 2892.06 25
MCST-MVS85.13 1686.62 1783.39 1190.55 989.82 1089.29 1473.89 1684.38 2476.03 2179.01 2485.90 1478.47 787.81 1186.11 2592.11 193.29 16
MPTG85.71 1086.88 1684.34 490.54 1087.11 3489.77 1174.17 1188.54 783.08 278.60 2586.10 1278.11 987.80 1287.46 990.35 2192.56 19
DeepC-MVS_fast78.24 384.27 2285.50 2482.85 1690.46 1189.24 1587.83 2574.24 1084.88 1976.23 2075.26 3181.05 3277.62 1488.02 887.62 890.69 992.41 21
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMP_Plus86.52 789.01 583.62 1090.28 1290.09 790.32 674.05 1388.32 879.74 887.04 1085.59 1676.97 2289.35 188.44 390.35 2194.27 5
SD-MVS86.96 489.45 384.05 890.13 1389.23 1689.77 1174.59 889.17 480.70 589.93 689.67 178.47 787.57 1386.79 1590.67 1093.76 10
ACMMPR85.52 1187.53 1383.17 1590.13 1389.27 1489.30 1373.97 1486.89 1377.14 1886.09 1183.18 2377.74 1387.42 1487.20 1090.77 692.63 18
PGM-MVS84.42 2186.29 2182.23 1990.04 1588.82 1989.23 1571.74 2782.82 2974.61 2584.41 1682.09 2577.03 2187.13 1886.73 1790.73 892.06 25
HSP-MVS87.45 290.22 284.22 690.00 1691.80 290.59 375.80 389.93 378.35 1392.54 189.18 280.89 187.99 1086.29 2289.70 3293.85 7
CSCG85.28 1587.68 1282.49 1889.95 1791.99 188.82 1771.20 2986.41 1579.63 979.26 2288.36 473.94 3186.64 2486.67 1891.40 294.41 2
mPP-MVS89.90 1881.29 31
TSAR-MVS + MP.86.88 589.23 484.14 789.78 1988.67 2390.59 373.46 1988.99 580.52 691.26 388.65 379.91 486.96 2286.22 2390.59 1193.83 8
X-MVS83.23 2585.20 2680.92 2689.71 2088.68 2088.21 2473.60 1782.57 3071.81 3777.07 2681.92 2671.72 4586.98 2186.86 1390.47 1492.36 22
TSAR-MVS + ACMM85.10 1788.81 980.77 2789.55 2188.53 2488.59 2072.55 2287.39 971.90 3490.95 487.55 774.57 2787.08 2086.54 1987.47 6793.67 11
CP-MVS84.74 2086.43 2082.77 1789.48 2288.13 2988.64 1873.93 1584.92 1876.77 1981.94 1983.50 2277.29 1986.92 2386.49 2090.49 1393.14 17
CDPH-MVS82.64 2685.03 2779.86 3189.41 2388.31 2688.32 2271.84 2680.11 3767.47 5182.09 1881.44 3071.85 4385.89 3086.15 2490.24 2391.25 31
DeepC-MVS78.47 284.81 1986.03 2283.37 1289.29 2490.38 588.61 1976.50 186.25 1677.22 1775.12 3280.28 3477.59 1588.39 588.17 591.02 593.66 12
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
AdaColmapbinary79.74 3778.62 4881.05 2589.23 2586.06 4284.95 3971.96 2579.39 4075.51 2363.16 6868.84 7476.51 2383.55 4582.85 4488.13 5486.46 58
EPNet79.08 4480.62 3977.28 4388.90 2683.17 6283.65 4472.41 2374.41 4867.15 5376.78 2774.37 5064.43 9683.70 4483.69 4087.15 7388.19 47
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DeepPCF-MVS79.04 185.30 1488.93 681.06 2488.77 2790.48 485.46 3673.08 2090.97 273.77 2884.81 1585.95 1377.43 1688.22 687.73 687.85 6294.34 3
ACMMPcopyleft83.42 2485.27 2581.26 2388.47 2888.49 2588.31 2372.09 2483.42 2772.77 3282.65 1778.22 3875.18 2686.24 2985.76 2790.74 792.13 24
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
3Dnovator+75.73 482.40 2782.76 3081.97 2188.02 2989.67 1186.60 2971.48 2881.28 3578.18 1464.78 6477.96 4077.13 2087.32 1686.83 1490.41 1991.48 29
OPM-MVS79.68 3879.28 4780.15 3087.99 3086.77 3788.52 2172.72 2164.55 7667.65 5067.87 5574.33 5174.31 2986.37 2885.25 3189.73 3189.81 40
MAR-MVS79.21 4180.32 4377.92 4187.46 3188.15 2883.95 4367.48 5274.28 4968.25 4764.70 6577.04 4172.17 4085.42 3285.00 3388.22 5187.62 52
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
HQP-MVS81.19 3183.27 2878.76 3687.40 3285.45 4686.95 2770.47 3281.31 3466.91 5479.24 2376.63 4271.67 4684.43 3883.78 3989.19 4092.05 27
abl_679.05 3387.27 3388.85 1883.62 4568.25 4681.68 3372.94 3173.79 3684.45 2172.55 3889.66 3390.64 35
MSLP-MVS++82.09 2982.66 3181.42 2287.03 3487.22 3385.82 3370.04 3480.30 3678.66 1268.67 5181.04 3377.81 1285.19 3484.88 3489.19 4091.31 30
ACMM72.26 878.86 4578.13 4979.71 3286.89 3583.40 5986.02 3170.50 3175.28 4671.49 4163.01 6969.26 6873.57 3384.11 4083.98 3889.76 3087.84 50
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
XVS86.63 3688.68 2085.00 3771.81 3781.92 2690.47 14
X-MVStestdata86.63 3688.68 2085.00 3771.81 3781.92 2690.47 14
PHI-MVS82.36 2885.89 2378.24 3986.40 3889.52 1285.52 3569.52 4082.38 3265.67 5681.35 2082.36 2473.07 3687.31 1786.76 1689.24 3891.56 28
LGP-MVS_train79.83 3481.22 3778.22 4086.28 3985.36 4886.76 2869.59 3877.34 4265.14 5875.68 3070.79 6171.37 4884.60 3684.01 3790.18 2490.74 34
CPTT-MVS81.77 3083.10 2980.21 2985.93 4086.45 4087.72 2670.98 3082.54 3171.53 4074.23 3581.49 2976.31 2482.85 5281.87 4888.79 4792.26 23
MVS_111021_HR80.13 3381.46 3578.58 3785.77 4185.17 4983.45 4669.28 4174.08 5170.31 4474.31 3475.26 4873.13 3586.46 2785.15 3289.53 3489.81 40
ACMP73.23 779.79 3580.53 4078.94 3485.61 4285.68 4385.61 3469.59 3877.33 4371.00 4374.45 3369.16 6971.88 4183.15 4983.37 4289.92 2790.57 37
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
UA-Net74.47 5977.80 5170.59 7885.33 4385.40 4773.54 12365.98 6060.65 10056.00 10272.11 3979.15 3554.63 14983.13 5082.25 4688.04 5681.92 116
TSAR-MVS + GP.83.69 2386.58 1980.32 2885.14 4486.96 3584.91 4070.25 3384.71 2273.91 2785.16 1485.63 1577.92 1185.44 3185.71 2889.77 2992.45 20
LS3D74.08 6073.39 6974.88 5485.05 4582.62 6579.71 5868.66 4472.82 5358.80 7757.61 9561.31 9371.07 5080.32 7378.87 8486.00 11780.18 126
QAPM78.47 4680.22 4476.43 4785.03 4686.75 3880.62 5366.00 5973.77 5265.35 5765.54 6278.02 3972.69 3783.71 4383.36 4388.87 4690.41 38
OpenMVScopyleft70.44 1076.15 5476.82 6075.37 5185.01 4784.79 5178.99 6562.07 8971.27 5567.88 4957.91 9472.36 5670.15 5282.23 5581.41 5288.12 5587.78 51
CLD-MVS79.35 4081.23 3677.16 4485.01 4786.92 3685.87 3260.89 9880.07 3975.35 2472.96 3773.21 5468.43 6185.41 3384.63 3587.41 6885.44 69
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
3Dnovator73.76 579.75 3680.52 4178.84 3584.94 4987.35 3184.43 4265.54 6278.29 4173.97 2663.00 7075.62 4774.07 3085.00 3585.34 3090.11 2689.04 43
PCF-MVS73.28 679.42 3980.41 4278.26 3884.88 5088.17 2786.08 3069.85 3575.23 4768.43 4668.03 5478.38 3771.76 4481.26 6580.65 6688.56 5091.18 32
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
DELS-MVS79.15 4381.07 3876.91 4583.54 5187.31 3284.45 4164.92 6669.98 5669.34 4571.62 4276.26 4369.84 5386.57 2585.90 2689.39 3689.88 39
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
OMC-MVS80.26 3282.59 3277.54 4283.04 5285.54 4483.25 4765.05 6587.32 1272.42 3372.04 4078.97 3673.30 3483.86 4181.60 5188.15 5388.83 45
PLCcopyleft68.99 1175.68 5575.31 6476.12 4982.94 5381.26 7179.94 5666.10 5777.15 4466.86 5559.13 8368.53 7573.73 3280.38 7279.04 8287.13 7781.68 118
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CNLPA77.20 5077.54 5376.80 4682.63 5484.31 5379.77 5764.64 6785.17 1773.18 3056.37 10269.81 6574.53 2881.12 6778.69 8586.04 11587.29 55
ACMH+66.54 1371.36 7270.09 8672.85 6282.59 5581.13 7278.56 7968.04 4861.55 9452.52 12151.50 15154.14 13768.56 6078.85 8979.50 7986.82 9483.94 87
ACMH65.37 1470.71 7670.00 8771.54 6582.51 5682.47 6677.78 9168.13 4756.19 13846.06 15054.30 12251.20 16068.68 5980.66 7180.72 5986.07 11384.45 83
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
canonicalmvs79.16 4282.37 3375.41 5082.33 5786.38 4180.80 5263.18 7682.90 2867.34 5272.79 3876.07 4469.62 5483.46 4884.41 3689.20 3990.60 36
MSDG71.52 7169.87 9173.44 6082.21 5879.35 9579.52 5964.59 6866.15 6461.87 6653.21 14156.09 12565.85 9278.94 8878.50 8686.60 10776.85 146
IS_MVSNet73.33 6277.34 5768.65 10581.29 5983.47 5874.45 11463.58 7465.75 6848.49 14067.11 5970.61 6254.63 14984.51 3783.58 4189.48 3586.34 59
Effi-MVS+75.28 5776.20 6174.20 5881.15 6083.24 6081.11 5063.13 7866.37 6260.27 7264.30 6668.88 7370.93 5181.56 5881.69 5088.61 4887.35 53
MVS_111021_LR78.13 4879.85 4676.13 4881.12 6181.50 6880.28 5465.25 6376.09 4571.32 4276.49 2972.87 5572.21 3982.79 5381.29 5386.59 10887.91 49
FC-MVSNet-train72.60 6775.07 6569.71 9781.10 6278.79 9873.74 12265.23 6466.10 6553.34 11570.36 4463.40 8856.92 13981.44 5980.96 5687.93 5884.46 82
MS-PatchMatch70.17 8670.49 8469.79 9580.98 6377.97 10677.51 9358.95 12662.33 8755.22 10653.14 14265.90 8162.03 10779.08 8777.11 10384.08 13677.91 136
TAPA-MVS71.42 977.69 4980.05 4574.94 5380.68 6484.52 5281.36 4963.14 7784.77 2064.82 6068.72 4975.91 4671.86 4281.62 5779.55 7887.80 6385.24 72
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PVSNet_Blended_VisFu76.57 5177.90 5075.02 5280.56 6586.58 3979.24 6066.18 5664.81 7368.18 4865.61 6071.45 5867.05 6384.16 3981.80 4988.90 4490.92 33
EPP-MVSNet74.00 6177.41 5670.02 9380.53 6683.91 5574.99 11162.68 8565.06 7149.77 13768.68 5072.09 5763.06 10282.49 5480.73 5889.12 4288.91 44
COLMAP_ROBcopyleft62.73 1567.66 12266.76 13368.70 10480.49 6777.98 10475.29 10462.95 8063.62 8049.96 13547.32 16850.72 16358.57 12576.87 12075.50 13484.94 13275.33 156
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
TSAR-MVS + COLMAP78.34 4781.64 3474.48 5780.13 6885.01 5081.73 4865.93 6184.75 2161.68 6785.79 1266.27 8071.39 4782.91 5180.78 5786.01 11685.98 60
EPNet_dtu68.08 11771.00 8064.67 13479.64 6968.62 16375.05 11063.30 7566.36 6345.27 15367.40 5766.84 7943.64 17075.37 13174.98 13981.15 14977.44 139
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PVSNet_BlendedMVS76.21 5277.52 5474.69 5579.46 7083.79 5677.50 9464.34 7069.88 5771.88 3568.54 5270.42 6367.05 6383.48 4679.63 7487.89 6086.87 56
PVSNet_Blended76.21 5277.52 5474.69 5579.46 7083.79 5677.50 9464.34 7069.88 5771.88 3568.54 5270.42 6367.05 6383.48 4679.63 7487.89 6086.87 56
IB-MVS66.94 1271.21 7371.66 7870.68 7579.18 7282.83 6472.61 12961.77 9359.66 10763.44 6553.26 13959.65 9859.16 12476.78 12282.11 4787.90 5987.33 54
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_Test75.37 5677.13 5973.31 6179.07 7381.32 7079.98 5560.12 11569.72 5964.11 6270.53 4373.22 5368.90 5780.14 7579.48 8087.67 6485.50 67
Effi-MVS+-dtu71.82 6971.86 7771.78 6478.77 7480.47 8678.55 8061.67 9560.68 9955.49 10358.48 8765.48 8268.85 5876.92 11975.55 13387.35 6985.46 68
EG-PatchMatch MVS67.24 12766.94 13167.60 11578.73 7581.35 6973.28 12759.49 12046.89 17951.42 12643.65 17253.49 14455.50 14681.38 6180.66 6587.15 7381.17 121
gg-mvs-nofinetune62.55 15065.05 14859.62 15978.72 7677.61 10970.83 13753.63 15439.71 19122.04 19636.36 18464.32 8547.53 16281.16 6679.03 8385.00 13177.17 141
Vis-MVSNet (Re-imp)67.83 12073.52 6861.19 15078.37 7776.72 12566.80 15362.96 7965.50 6934.17 17567.19 5869.68 6639.20 17879.39 8479.44 8185.68 12276.73 147
DI_MVS_plusplus_trai75.13 5876.12 6273.96 5978.18 7881.55 6780.97 5162.54 8768.59 6065.13 5961.43 7174.81 4969.32 5681.01 6979.59 7687.64 6585.89 61
tpmp4_e2368.32 11567.08 13069.76 9677.86 7975.22 13978.37 8556.17 15066.06 6664.27 6157.15 9954.89 13363.40 10070.97 16168.29 17178.46 16177.00 145
Fast-Effi-MVS+73.11 6473.66 6772.48 6377.72 8080.88 7778.55 8058.83 13465.19 7060.36 7159.98 7862.42 9171.22 4981.66 5680.61 6888.20 5284.88 80
UniMVSNet_NR-MVSNet70.59 7772.19 7568.72 10377.72 8080.72 7873.81 12069.65 3761.99 8943.23 15760.54 7457.50 10458.57 12579.56 8181.07 5589.34 3783.97 85
IterMVS-LS71.69 7072.82 7370.37 8777.54 8276.34 13175.13 10960.46 10561.53 9557.57 8564.89 6367.33 7766.04 8877.09 11877.37 9985.48 12585.18 73
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
NR-MVSNet68.79 11170.56 8366.71 12777.48 8379.54 9273.52 12469.20 4261.20 9739.76 16458.52 8550.11 16651.37 15680.26 7480.71 6388.97 4383.59 92
TransMVSNet (Re)64.74 14065.66 14163.66 14177.40 8475.33 13769.86 13862.67 8647.63 17741.21 16350.01 15752.33 15445.31 16779.57 8077.69 9285.49 12477.07 144
TranMVSNet+NR-MVSNet69.25 10670.81 8267.43 11777.23 8579.46 9473.48 12569.66 3660.43 10239.56 16558.82 8453.48 14555.74 14479.59 7981.21 5488.89 4582.70 106
CHOSEN 1792x268869.20 10769.26 10769.13 10076.86 8678.93 9777.27 9660.12 11561.86 9154.42 10742.54 17461.61 9266.91 6978.55 9078.14 8979.23 15983.23 97
HyFIR lowres test69.47 10368.94 11070.09 9276.77 8782.93 6376.63 10060.17 11159.00 11154.03 11040.54 18065.23 8367.89 6276.54 12578.30 8785.03 13080.07 127
UniMVSNet (Re)69.53 10071.90 7666.76 12576.42 8880.93 7472.59 13068.03 4961.75 9341.68 16258.34 9157.23 11253.27 15379.53 8280.62 6788.57 4984.90 79
DWT-MVSNet_training67.24 12765.96 13768.74 10276.15 8974.36 14574.37 11856.66 14761.82 9260.51 7058.23 9349.76 16865.07 9370.04 16970.39 15679.70 15677.11 143
gm-plane-assit57.00 17457.62 18056.28 17176.10 9062.43 18747.62 19646.57 18433.84 19923.24 19037.52 18140.19 18859.61 12379.81 7777.55 9484.55 13472.03 167
DU-MVS69.63 9570.91 8168.13 10975.99 9179.54 9273.81 12069.20 4261.20 9743.23 15758.52 8553.50 14358.57 12579.22 8580.45 6987.97 5783.97 85
Baseline_NR-MVSNet67.53 12568.77 11666.09 12875.99 9174.75 14272.43 13168.41 4561.33 9638.33 16851.31 15254.13 13956.03 14179.22 8578.19 8885.37 12682.45 108
CostFormer68.92 10969.58 9768.15 10875.98 9376.17 13378.22 8951.86 16465.80 6761.56 6863.57 6762.83 8961.85 11070.40 16868.67 16679.42 15779.62 129
tpm cat165.41 13363.81 15767.28 11975.61 9472.88 14875.32 10352.85 15862.97 8463.66 6453.24 14053.29 14861.83 11165.54 18064.14 18374.43 17774.60 158
CDS-MVSNet67.65 12369.83 9465.09 13075.39 9576.55 12674.42 11763.75 7253.55 15449.37 13959.41 8162.45 9044.44 16879.71 7879.82 7283.17 14277.36 140
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
Fast-Effi-MVS+-dtu68.34 11469.47 9967.01 12275.15 9677.97 10677.12 9755.40 15157.87 11746.68 14856.17 10360.39 9462.36 10576.32 12676.25 12785.35 12781.34 119
WR-MVS63.03 14667.40 12857.92 16575.14 9777.60 11060.56 17666.10 5754.11 15323.88 18753.94 13353.58 14234.50 18373.93 13977.71 9187.35 6980.94 122
test-LLR64.42 14164.36 15364.49 13575.02 9863.93 17766.61 15561.96 9054.41 14947.77 14457.46 9660.25 9555.20 14770.80 16269.33 16180.40 15374.38 160
test0.0.03 158.80 17061.58 17055.56 17375.02 9868.45 16459.58 18061.96 9052.74 15629.57 17949.75 16054.56 13531.46 18671.19 15669.77 15875.75 17064.57 181
v114469.93 9469.36 10670.61 7774.89 10080.93 7479.11 6360.64 10055.97 13955.31 10553.85 13454.14 13766.54 7378.10 9577.44 9787.14 7685.09 74
v1369.52 10168.76 11770.41 8574.88 10177.02 12178.52 8458.86 12856.61 13556.91 9054.00 13256.17 12466.11 8777.93 9676.74 11387.21 7182.83 99
v1269.54 9968.79 11570.41 8574.88 10177.03 11978.54 8358.85 13056.71 13356.87 9254.13 13056.23 12366.15 8377.89 9776.74 11387.17 7282.80 100
v1169.37 10468.65 11970.20 8974.87 10376.97 12278.29 8758.55 13856.38 13756.04 10154.02 13154.98 13266.47 7478.30 9276.91 10586.97 8583.02 98
V969.58 9868.83 11370.46 8274.85 10477.04 11778.65 7858.85 13056.83 13257.12 8854.26 12556.31 11866.14 8577.83 9976.76 10887.13 7782.79 102
V1469.59 9768.86 11270.45 8474.83 10577.04 11778.70 7758.83 13456.95 12957.08 8954.41 12156.34 11766.15 8377.77 10076.76 10887.08 8282.74 105
v1569.61 9668.88 11170.46 8274.81 10677.03 11978.75 7658.83 13457.06 12657.18 8754.55 12056.37 11666.13 8677.70 10176.76 10887.03 8482.69 107
v770.33 8369.87 9170.88 6674.79 10781.04 7379.22 6160.57 10257.70 12356.65 9854.23 12755.29 13066.95 6678.28 9377.47 9587.12 8085.05 76
v1070.22 8569.76 9570.74 7274.79 10780.30 8979.22 6159.81 11857.71 12256.58 9954.22 12955.31 12866.95 6678.28 9377.47 9587.12 8085.07 75
v114169.96 9369.44 10370.58 8074.78 10980.50 8478.85 6660.30 10656.95 12956.74 9554.68 11856.26 12265.93 8977.38 11276.72 11886.88 9083.57 95
divwei89l23v2f11269.97 9169.44 10370.58 8074.78 10980.50 8478.85 6660.30 10656.97 12856.75 9454.67 11956.27 12165.92 9077.37 11376.72 11886.88 9083.58 94
v169.97 9169.45 10270.59 7874.78 10980.51 8378.84 6860.30 10656.98 12756.81 9354.69 11756.29 12065.91 9177.37 11376.71 12186.89 8983.59 92
v1770.03 9069.43 10570.72 7474.75 11277.09 11478.78 7558.85 13059.53 10958.72 7854.87 11457.39 10666.38 7677.60 10576.75 11186.83 9382.80 100
v1670.07 8869.46 10070.79 7074.74 11377.08 11578.79 7358.86 12859.75 10659.15 7554.87 11457.33 10766.38 7677.61 10476.77 10686.81 9982.79 102
v870.23 8469.86 9370.67 7674.69 11479.82 9178.79 7359.18 12458.80 11358.20 8055.00 11057.33 10766.31 8277.51 10976.71 12186.82 9483.88 88
v1neww70.34 8169.93 8970.82 6874.68 11580.61 8078.80 7160.17 11158.74 11458.10 8255.00 11057.28 11066.33 7977.53 10676.74 11386.82 9483.61 90
v7new70.34 8169.93 8970.82 6874.68 11580.61 8078.80 7160.17 11158.74 11458.10 8255.00 11057.28 11066.33 7977.53 10676.74 11386.82 9483.61 90
v670.35 8069.94 8870.83 6774.68 11580.62 7978.81 7060.16 11458.81 11258.17 8155.01 10957.31 10966.32 8177.53 10676.73 11786.82 9483.62 89
v1870.10 8769.52 9870.77 7174.66 11877.06 11678.84 6858.84 13360.01 10559.23 7455.06 10857.47 10566.34 7877.50 11076.75 11186.71 10182.77 104
v2v48270.05 8969.46 10070.74 7274.62 11980.32 8879.00 6460.62 10157.41 12456.89 9155.43 10755.14 13166.39 7577.25 11577.14 10286.90 8783.57 95
v119269.50 10268.83 11370.29 8874.49 12080.92 7678.55 8060.54 10355.04 14554.21 10852.79 14552.33 15466.92 6877.88 9877.35 10087.04 8385.51 66
DTE-MVSNet61.85 15964.96 15058.22 16474.32 12174.39 14461.01 17567.85 5051.76 16421.91 19753.28 13848.17 17237.74 17972.22 14976.44 12486.52 11078.49 133
Vis-MVSNetpermissive72.77 6677.20 5867.59 11674.19 12284.01 5476.61 10161.69 9460.62 10150.61 13170.25 4571.31 6055.57 14583.85 4282.28 4586.90 8788.08 48
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
diffmvs73.13 6375.65 6370.19 9074.07 12377.17 11378.24 8857.45 14272.44 5464.02 6369.05 4775.92 4564.86 9475.18 13375.27 13582.47 14484.53 81
v14419269.34 10568.68 11870.12 9174.06 12480.54 8278.08 9060.54 10354.99 14754.13 10952.92 14452.80 15066.73 7177.13 11776.72 11887.15 7385.63 62
v192192069.03 10868.32 12069.86 9474.03 12580.37 8777.55 9260.25 11054.62 14853.59 11452.36 14751.50 15966.75 7077.17 11676.69 12386.96 8685.56 63
PEN-MVS62.96 14765.77 14059.70 15873.98 12675.45 13563.39 16967.61 5152.49 15825.49 18653.39 13649.12 17140.85 17671.94 15277.26 10186.86 9280.72 124
v124068.64 11367.89 12469.51 9873.89 12780.26 9076.73 9959.97 11753.43 15553.08 11651.82 15050.84 16266.62 7276.79 12176.77 10686.78 10085.34 70
GA-MVS68.14 11669.17 10866.93 12473.77 12878.50 9974.45 11458.28 13955.11 14448.44 14160.08 7653.99 14061.50 11278.43 9177.57 9385.13 12880.54 125
pm-mvs165.62 13267.42 12763.53 14273.66 12976.39 13069.66 13960.87 9949.73 17243.97 15651.24 15357.00 11448.16 16179.89 7677.84 9084.85 13379.82 128
dps64.00 14462.99 15965.18 12973.29 13072.07 15168.98 14453.07 15757.74 12158.41 7955.55 10647.74 17560.89 11769.53 17167.14 17576.44 16971.19 169
v14867.85 11967.53 12568.23 10773.25 13177.57 11174.26 11957.36 14455.70 14057.45 8653.53 13555.42 12761.96 10875.23 13273.92 14285.08 12981.32 120
PatchMatch-RL67.78 12166.65 13469.10 10173.01 13272.69 14968.49 14561.85 9262.93 8560.20 7356.83 10150.42 16469.52 5575.62 13074.46 14181.51 14773.62 165
GBi-Net70.78 7473.37 7067.76 11072.95 13378.00 10175.15 10662.72 8164.13 7751.44 12358.37 8869.02 7057.59 13181.33 6280.72 5986.70 10282.02 110
test170.78 7473.37 7067.76 11072.95 13378.00 10175.15 10662.72 8164.13 7751.44 12358.37 8869.02 7057.59 13181.33 6280.72 5986.70 10282.02 110
FMVSNet270.39 7972.67 7467.72 11372.95 13378.00 10175.15 10662.69 8463.29 8251.25 12755.64 10468.49 7657.59 13180.91 7080.35 7086.70 10282.02 110
FMVSNet370.49 7872.90 7267.67 11472.88 13677.98 10474.96 11262.72 8164.13 7751.44 12358.37 8869.02 7057.43 13479.43 8379.57 7786.59 10881.81 117
LTVRE_ROB59.44 1661.82 16262.64 16360.87 15272.83 13777.19 11264.37 16558.97 12533.56 20028.00 18352.59 14642.21 18463.93 9874.52 13576.28 12577.15 16682.13 109
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
v7n67.05 12966.94 13167.17 12072.35 13878.97 9673.26 12858.88 12751.16 16550.90 12848.21 16250.11 16660.96 11477.70 10177.38 9886.68 10585.05 76
tpm62.41 15363.15 15861.55 14972.24 13963.79 17971.31 13646.12 18657.82 11855.33 10459.90 7954.74 13453.63 15167.24 17864.29 18170.65 18874.25 162
test20.0353.93 18156.28 18151.19 18372.19 14065.83 17253.20 18861.08 9642.74 18522.08 19537.07 18345.76 18024.29 19970.44 16669.04 16374.31 17863.05 185
CP-MVSNet62.68 14965.49 14359.40 16171.84 14175.34 13662.87 17167.04 5352.64 15727.19 18453.38 13748.15 17341.40 17471.26 15575.68 13186.07 11382.00 113
PS-CasMVS62.38 15565.06 14759.25 16271.73 14275.21 14062.77 17266.99 5451.94 16326.96 18552.00 14947.52 17641.06 17571.16 15875.60 13285.97 11881.97 115
WR-MVS_H61.83 16165.87 13957.12 16871.72 14376.87 12361.45 17466.19 5551.97 16222.92 19453.13 14352.30 15633.80 18471.03 15975.00 13886.65 10680.78 123
USDC67.36 12667.90 12366.74 12671.72 14375.23 13871.58 13560.28 10967.45 6150.54 13260.93 7245.20 18162.08 10676.56 12474.50 14084.25 13575.38 155
UGNet72.78 6577.67 5267.07 12171.65 14583.24 6075.20 10563.62 7364.93 7256.72 9671.82 4173.30 5249.02 16081.02 6880.70 6486.22 11288.67 46
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
tpmrst62.00 15762.35 16761.58 14871.62 14664.14 17669.07 14348.22 18262.21 8853.93 11158.26 9255.30 12955.81 14363.22 18562.62 18670.85 18770.70 170
pmmvs467.89 11867.39 12968.48 10671.60 14773.57 14774.45 11460.98 9764.65 7457.97 8454.95 11351.73 15861.88 10973.78 14075.11 13783.99 13877.91 136
testgi54.39 18057.86 17850.35 18471.59 14867.24 16754.95 18653.25 15643.36 18423.78 18844.64 17147.87 17424.96 19570.45 16568.66 16773.60 18062.78 186
pmmvs662.41 15362.88 16061.87 14771.38 14975.18 14167.76 14859.45 12241.64 18742.52 16137.33 18252.91 14946.87 16377.67 10376.26 12683.23 14179.18 130
FMVSNet168.84 11070.47 8566.94 12371.35 15077.68 10874.71 11362.35 8856.93 13149.94 13650.01 15764.59 8457.07 13781.33 6280.72 5986.25 11182.00 113
PatchmatchNetpermissive64.21 14364.65 15163.69 14071.29 15168.66 16269.63 14051.70 16663.04 8353.77 11359.83 8058.34 10260.23 12168.54 17566.06 17875.56 17268.08 176
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CR-MVSNet64.83 13965.54 14264.01 13970.64 15269.41 15865.97 15852.74 15957.81 11952.65 11854.27 12356.31 11860.92 11572.20 15073.09 14681.12 15075.69 152
MVSTER72.06 6874.24 6669.51 9870.39 15375.97 13476.91 9857.36 14464.64 7561.39 6968.86 4863.76 8663.46 9981.44 5979.70 7387.56 6685.31 71
Anonymous2023120656.36 17657.80 17954.67 17670.08 15466.39 17160.46 17757.54 14149.50 17429.30 18033.86 19046.64 17735.18 18270.44 16668.88 16575.47 17368.88 175
CMPMVSbinary47.78 1762.49 15262.52 16462.46 14570.01 15570.66 15662.97 17051.84 16551.98 16156.71 9742.87 17353.62 14157.80 13072.23 14870.37 15775.45 17475.91 149
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
v74865.12 13765.24 14464.98 13169.77 15676.45 12769.47 14157.06 14649.93 17050.70 12947.87 16449.50 17057.14 13673.64 14275.18 13685.75 12184.14 84
TDRefinement66.09 13165.03 14967.31 11869.73 15776.75 12475.33 10264.55 6960.28 10349.72 13845.63 17042.83 18360.46 11975.75 12775.95 13084.08 13678.04 135
TinyColmap62.84 14861.03 17264.96 13269.61 15871.69 15268.48 14659.76 11955.41 14147.69 14647.33 16734.20 19362.76 10474.52 13572.59 14981.44 14871.47 168
RPMNet61.71 16362.88 16060.34 15469.51 15969.41 15863.48 16849.23 17457.81 11945.64 15250.51 15550.12 16553.13 15468.17 17768.49 16981.07 15175.62 154
IterMVS66.36 13068.30 12164.10 13669.48 16074.61 14373.41 12650.79 17057.30 12548.28 14260.64 7359.92 9760.85 11874.14 13872.66 14881.80 14678.82 132
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
SixPastTwentyTwo61.84 16062.45 16561.12 15169.20 16172.20 15062.03 17357.40 14346.54 18038.03 17057.14 10041.72 18558.12 12969.67 17071.58 15281.94 14578.30 134
MDTV_nov1_ep1364.37 14265.24 14463.37 14468.94 16270.81 15472.40 13250.29 17360.10 10453.91 11260.07 7759.15 10057.21 13569.43 17267.30 17377.47 16469.78 172
EPMVS60.00 16861.97 16857.71 16668.46 16363.17 18364.54 16448.23 18163.30 8144.72 15560.19 7556.05 12650.85 15765.27 18262.02 18869.44 19063.81 183
Anonymous2023121151.46 18550.59 18752.46 18267.30 16466.70 17055.00 18559.22 12329.96 20217.62 20219.11 20428.74 20235.72 18166.42 17969.52 16079.92 15573.71 164
FC-MVSNet-test56.90 17565.20 14647.21 18766.98 16563.20 18249.11 19458.60 13759.38 11011.50 20765.60 6156.68 11524.66 19871.17 15771.36 15472.38 18369.02 174
CVMVSNet62.55 15065.89 13858.64 16366.95 16669.15 16066.49 15756.29 14952.46 15932.70 17659.27 8258.21 10350.09 15871.77 15371.39 15379.31 15878.99 131
FPMVS51.87 18450.00 18954.07 17766.83 16757.25 19060.25 17850.91 16850.25 16734.36 17436.04 18732.02 19541.49 17358.98 19756.07 19770.56 18959.36 192
pmmvs-eth3d63.52 14562.44 16664.77 13366.82 16870.12 15769.41 14259.48 12154.34 15252.71 11746.24 16944.35 18256.93 13872.37 14573.77 14383.30 14075.91 149
testpf47.41 18848.47 19446.18 18866.30 16950.67 19948.15 19542.60 19637.10 19528.75 18140.97 17639.01 19030.82 18752.95 20253.74 20160.46 20064.87 180
TAMVS59.58 16962.81 16255.81 17266.03 17065.64 17463.86 16748.74 17749.95 16837.07 17254.77 11658.54 10144.44 16872.29 14771.79 15074.70 17666.66 178
MDTV_nov1_ep13_2view60.16 16760.51 17459.75 15765.39 17169.05 16168.00 14748.29 18051.99 16045.95 15148.01 16349.64 16953.39 15268.83 17466.52 17777.47 16469.55 173
pmmvs562.37 15664.04 15560.42 15365.03 17271.67 15367.17 15052.70 16150.30 16644.80 15454.23 12751.19 16149.37 15972.88 14473.48 14583.45 13974.55 159
ambc53.42 18364.99 17363.36 18149.96 19247.07 17837.12 17128.97 19416.36 20941.82 17275.10 13467.34 17271.55 18675.72 151
V4268.76 11269.63 9667.74 11264.93 17478.01 10078.30 8656.48 14858.65 11656.30 10054.26 12557.03 11364.85 9577.47 11177.01 10485.60 12384.96 78
PMVScopyleft39.38 1846.06 19343.30 19849.28 18662.93 17538.75 20641.88 19953.50 15533.33 20135.46 17328.90 19531.01 19833.04 18558.61 19854.63 20068.86 19157.88 195
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
new-patchmatchnet46.97 19149.47 19044.05 19362.82 17656.55 19145.35 19752.01 16342.47 18617.04 20335.73 18835.21 19221.84 20461.27 19054.83 19965.26 19860.26 189
ADS-MVSNet55.94 17758.01 17753.54 18162.48 17758.48 18959.12 18146.20 18559.65 10842.88 15952.34 14853.31 14746.31 16562.00 18960.02 19364.23 19960.24 191
v5265.23 13566.24 13564.06 13761.94 17876.42 12872.06 13354.30 15349.94 16950.04 13447.41 16652.42 15260.23 12175.71 12876.22 12885.78 11985.56 63
V465.23 13566.23 13664.06 13761.94 17876.42 12872.05 13454.31 15249.91 17150.06 13347.42 16552.40 15360.24 12075.71 12876.22 12885.78 11985.56 63
RPSCF67.64 12471.25 7963.43 14361.86 18070.73 15567.26 14950.86 16974.20 5058.91 7667.49 5669.33 6764.10 9771.41 15468.45 17077.61 16377.17 141
MIMVSNet58.52 17261.34 17155.22 17460.76 18167.01 16866.81 15249.02 17656.43 13638.90 16740.59 17954.54 13640.57 17773.16 14371.65 15175.30 17566.00 179
PatchT61.97 15864.04 15559.55 16060.49 18267.40 16656.54 18348.65 17856.69 13452.65 11851.10 15452.14 15760.92 11572.20 15073.09 14678.03 16275.69 152
N_pmnet47.35 18950.13 18844.11 19259.98 18351.64 19851.86 18944.80 19149.58 17320.76 19840.65 17840.05 18929.64 18859.84 19555.15 19857.63 20154.00 199
111143.08 19544.02 19741.98 19459.22 18449.27 20241.48 20045.63 18835.01 19623.06 19228.60 19630.15 19927.22 19060.42 19357.97 19555.27 20446.74 201
.test124530.81 20229.14 20432.77 20159.22 18449.27 20241.48 20045.63 18835.01 19623.06 19228.60 19630.15 19927.22 19060.42 1930.10 2080.01 2120.43 210
MVS-HIRNet54.41 17952.10 18657.11 16958.99 18656.10 19249.68 19349.10 17546.18 18152.15 12233.18 19146.11 17956.10 14063.19 18659.70 19476.64 16860.25 190
PM-MVS60.48 16660.94 17359.94 15658.85 18766.83 16964.27 16651.39 16755.03 14648.03 14350.00 15940.79 18758.26 12869.20 17367.13 17678.84 16077.60 138
anonymousdsp65.28 13467.98 12262.13 14658.73 18873.98 14667.10 15150.69 17148.41 17547.66 14754.27 12352.75 15161.45 11376.71 12380.20 7187.13 7789.53 42
LP53.62 18253.43 18253.83 17958.51 18962.59 18657.31 18246.04 18747.86 17642.69 16036.08 18636.86 19146.53 16464.38 18364.25 18271.92 18462.00 188
TESTMET0.1,161.10 16464.36 15357.29 16757.53 19063.93 17766.61 15536.22 20154.41 14947.77 14457.46 9660.25 9555.20 14770.80 16269.33 16180.40 15374.38 160
EU-MVSNet54.63 17858.69 17649.90 18556.99 19162.70 18556.41 18450.64 17245.95 18223.14 19150.42 15646.51 17836.63 18065.51 18164.85 18075.57 17174.91 157
FMVSNet557.24 17360.02 17553.99 17856.45 19262.74 18465.27 16147.03 18355.14 14339.55 16640.88 17753.42 14641.83 17172.35 14671.10 15573.79 17964.50 182
test235647.20 19048.62 19345.54 19056.38 19354.89 19450.62 19045.08 19038.65 19223.40 18936.23 18531.10 19729.31 18962.76 18762.49 18768.48 19254.23 198
testus45.61 19449.06 19241.59 19556.13 19455.28 19343.51 19839.64 19937.74 19318.23 20035.52 18931.28 19624.69 19762.46 18862.90 18567.33 19458.26 194
test-mter60.84 16564.62 15256.42 17055.99 19564.18 17565.39 16034.23 20354.39 15146.21 14957.40 9859.49 9955.86 14271.02 16069.65 15980.87 15276.20 148
CHOSEN 280x42058.70 17161.88 16954.98 17555.45 19650.55 20064.92 16240.36 19755.21 14238.13 16948.31 16163.76 8663.03 10373.73 14168.58 16868.00 19373.04 166
PMMVS65.06 13869.17 10860.26 15555.25 19763.43 18066.71 15443.01 19562.41 8650.64 13069.44 4667.04 7863.29 10174.36 13773.54 14482.68 14373.99 163
testmv42.58 19644.36 19540.49 19654.63 19852.76 19641.21 20244.37 19228.83 20312.87 20427.16 19925.03 20423.01 20060.83 19161.13 18966.88 19554.81 196
test123567842.57 19744.36 19540.49 19654.63 19852.75 19741.21 20244.37 19228.82 20412.87 20427.15 20025.01 20523.01 20060.83 19161.13 18966.88 19554.81 196
no-one36.35 20037.59 20134.91 19946.13 20049.89 20127.99 20743.56 19420.91 2087.03 21014.64 20615.50 21018.92 20542.95 20360.20 19265.84 19759.03 193
Gipumacopyleft36.38 19935.80 20237.07 19845.76 20133.90 20729.81 20648.47 17939.91 19018.02 2018.00 2108.14 21225.14 19459.29 19661.02 19155.19 20540.31 203
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
pmmvs347.65 18749.08 19145.99 18944.61 20254.79 19550.04 19131.95 20633.91 19829.90 17830.37 19233.53 19446.31 16563.50 18463.67 18473.14 18263.77 184
MIMVSNet149.27 18653.25 18444.62 19144.61 20261.52 18853.61 18752.18 16241.62 18818.68 19928.14 19841.58 18625.50 19368.46 17669.04 16373.15 18162.37 187
test1235635.10 20138.50 20031.13 20244.14 20443.70 20532.27 20534.42 20226.51 2069.47 20825.22 20220.34 20610.86 20753.47 20056.15 19655.59 20344.11 202
MDA-MVSNet-bldmvs53.37 18353.01 18553.79 18043.67 20567.95 16559.69 17957.92 14043.69 18332.41 17741.47 17527.89 20352.38 15556.97 19965.99 17976.68 16767.13 177
E-PMN21.77 20418.24 20625.89 20340.22 20619.58 21012.46 21139.87 19818.68 2106.71 2119.57 2074.31 21522.36 20319.89 20827.28 20633.73 20728.34 207
EMVS20.98 20517.15 20725.44 20439.51 20719.37 21112.66 21039.59 20019.10 2096.62 2129.27 2084.40 21422.43 20217.99 20924.40 20731.81 20825.53 208
new_pmnet38.40 19842.64 19933.44 20037.54 20845.00 20436.60 20432.72 20540.27 18912.72 20629.89 19328.90 20124.78 19653.17 20152.90 20256.31 20248.34 200
PMMVS225.60 20329.75 20320.76 20628.00 20930.93 20823.10 20829.18 20723.14 2071.46 21418.23 20516.54 2085.08 20840.22 20441.40 20437.76 20637.79 205
tmp_tt14.50 20814.68 2107.17 21310.46 2132.21 20937.73 19428.71 18225.26 20116.98 2074.37 20931.49 20529.77 20526.56 209
MVEpermissive19.12 1920.47 20623.27 20517.20 20712.66 21125.41 20910.52 21234.14 20414.79 2116.53 2138.79 2094.68 21316.64 20629.49 20641.63 20322.73 21038.11 204
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
GG-mvs-BLEND46.86 19267.51 12622.75 2050.05 21276.21 13264.69 1630.04 21061.90 900.09 21555.57 10571.32 590.08 21070.54 16467.19 17471.58 18569.86 171
testmvs0.09 2070.15 2080.02 2090.01 2130.02 2140.05 2150.01 2110.11 2120.01 2160.26 2120.01 2160.06 2120.10 2100.10 2080.01 2120.43 210
sosnet-low-res0.00 2090.00 2100.00 2110.00 2140.00 2160.00 2170.00 2130.00 2140.00 2170.00 2130.00 2170.00 2130.00 2120.00 2110.00 2150.00 212
sosnet0.00 2090.00 2100.00 2110.00 2140.00 2160.00 2170.00 2130.00 2140.00 2170.00 2130.00 2170.00 2130.00 2120.00 2110.00 2150.00 212
test1230.09 2070.14 2090.02 2090.00 2140.02 2140.02 2160.01 2110.09 2130.00 2170.30 2110.00 2170.08 2100.03 2110.09 2100.01 2120.45 209
MTAPA83.48 186.45 11
MTMP82.66 384.91 19
Patchmatch-RL test2.85 214
NP-MVS80.10 38
Patchmtry65.80 17365.97 15852.74 15952.65 118
DeepMVS_CXcopyleft18.74 21218.55 2098.02 20826.96 2057.33 20923.81 20313.05 21125.99 19225.17 20722.45 21136.25 206