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 bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort by
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
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
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
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
DeepMVS_CXcopyleft18.74 21218.55 2098.02 20826.96 2057.33 20923.81 20313.05 21125.99 19225.17 20722.45 21136.25 206
.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
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
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
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
MTAPA83.48 186.45 11
MTMP82.66 384.91 19
Patchmatch-RL test2.85 214
mPP-MVS89.90 1881.29 31
NP-MVS80.10 38
Patchmtry65.80 17365.97 15852.74 15952.65 118