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 bysorted bysort bysort by
SMA-MVScopyleft87.56 690.17 684.52 991.71 290.57 990.77 875.19 1390.67 680.50 1486.59 1788.86 778.09 1689.92 189.41 190.84 1095.19 4
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
CNVR-MVS86.36 1388.19 1684.23 1291.33 489.84 1490.34 1175.56 1087.36 1878.97 1881.19 2886.76 1778.74 1189.30 488.58 290.45 2694.33 9
SteuartSystems-ACMMP85.99 1588.31 1583.27 2190.73 1089.84 1490.27 1474.31 1584.56 3075.88 3087.32 1485.04 2477.31 2489.01 688.46 391.14 593.96 11
Skip Steuart: Steuart Systems R&D Blog.
ACMMP_NAP86.52 1289.01 1083.62 1790.28 1990.09 1390.32 1374.05 2088.32 1479.74 1687.04 1585.59 2376.97 2989.35 388.44 490.35 2994.27 10
HPM-MVS++copyleft87.09 888.92 1284.95 592.61 187.91 4090.23 1576.06 488.85 1281.20 1087.33 1387.93 1179.47 888.59 888.23 590.15 3493.60 20
DeepC-MVS78.47 284.81 2686.03 2883.37 1989.29 3290.38 1188.61 2776.50 186.25 2377.22 2475.12 3980.28 4577.59 2288.39 988.17 691.02 793.66 18
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SED-MVS88.85 191.59 285.67 190.54 1592.29 291.71 376.40 292.41 283.24 292.50 390.64 381.10 289.53 288.02 791.00 895.73 2
DVP-MVS88.67 291.62 185.22 390.47 1792.36 190.69 976.15 393.08 182.75 492.19 590.71 280.45 589.27 587.91 890.82 1195.84 1
MSP-MVS88.09 490.84 484.88 690.00 2391.80 591.63 475.80 691.99 381.23 992.54 289.18 580.89 387.99 1487.91 889.70 4394.51 6
DeepPCF-MVS79.04 185.30 2188.93 1181.06 3288.77 3690.48 1085.46 4673.08 2990.97 573.77 3784.81 2285.95 2077.43 2388.22 1087.73 1087.85 7894.34 8
NCCC85.34 2086.59 2483.88 1691.48 388.88 2589.79 1775.54 1186.67 2177.94 2376.55 3584.99 2578.07 1788.04 1187.68 1190.46 2593.31 21
DeepC-MVS_fast78.24 384.27 2985.50 3182.85 2390.46 1889.24 2187.83 3374.24 1784.88 2676.23 2875.26 3881.05 4377.62 2188.02 1287.62 1290.69 1692.41 28
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPE-MVS88.63 391.29 385.53 290.87 892.20 391.98 276.00 590.55 782.09 693.85 190.75 181.25 188.62 787.59 1390.96 995.48 3
zzz-MVS85.71 1686.88 2284.34 1190.54 1587.11 4489.77 1874.17 1888.54 1383.08 378.60 3286.10 1978.11 1587.80 1687.46 1490.35 2992.56 26
ACMMPR85.52 1787.53 1983.17 2290.13 2089.27 2089.30 2173.97 2186.89 2077.14 2586.09 1883.18 3277.74 2087.42 1987.20 1590.77 1392.63 25
HFP-MVS86.15 1487.95 1784.06 1490.80 989.20 2389.62 2074.26 1687.52 1580.63 1286.82 1684.19 2978.22 1487.58 1787.19 1690.81 1293.13 24
MP-MVScopyleft85.50 1887.40 2083.28 2090.65 1289.51 1989.16 2474.11 1983.70 3478.06 2285.54 2084.89 2777.31 2487.40 2287.14 1790.41 2793.65 19
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
APDe-MVS88.00 590.50 585.08 490.95 791.58 692.03 175.53 1291.15 480.10 1592.27 488.34 1080.80 488.00 1386.99 1891.09 695.16 5
DPM-MVS83.30 3284.33 3582.11 2789.56 2888.49 3490.33 1273.24 2883.85 3376.46 2772.43 4882.65 3373.02 4786.37 3686.91 1990.03 3689.62 51
X-MVS83.23 3385.20 3380.92 3489.71 2788.68 2888.21 3273.60 2482.57 3871.81 4677.07 3381.92 3771.72 5886.98 2986.86 2090.47 2292.36 29
3Dnovator+75.73 482.40 3582.76 4081.97 2988.02 3889.67 1786.60 3771.48 3781.28 4378.18 2164.78 8377.96 5177.13 2787.32 2386.83 2190.41 2791.48 36
SD-MVS86.96 989.45 884.05 1590.13 2089.23 2289.77 1874.59 1489.17 1080.70 1189.93 1189.67 478.47 1287.57 1886.79 2290.67 1793.76 16
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
PHI-MVS82.36 3685.89 2978.24 4986.40 4889.52 1885.52 4469.52 4982.38 4065.67 6981.35 2782.36 3473.07 4587.31 2486.76 2389.24 5091.56 35
PGM-MVS84.42 2886.29 2782.23 2690.04 2288.82 2789.23 2371.74 3682.82 3774.61 3384.41 2382.09 3577.03 2887.13 2586.73 2490.73 1592.06 32
CSCG85.28 2287.68 1882.49 2589.95 2491.99 488.82 2571.20 3886.41 2279.63 1779.26 2988.36 973.94 3986.64 3286.67 2591.40 294.41 7
TSAR-MVS + ACMM85.10 2488.81 1480.77 3589.55 2988.53 3388.59 2872.55 3187.39 1671.90 4390.95 987.55 1274.57 3487.08 2786.54 2687.47 8593.67 17
CP-MVS84.74 2786.43 2682.77 2489.48 3088.13 3988.64 2673.93 2284.92 2576.77 2681.94 2683.50 3077.29 2686.92 3186.49 2790.49 2193.14 23
APD-MVScopyleft86.84 1188.91 1384.41 1090.66 1190.10 1290.78 775.64 987.38 1778.72 1990.68 1086.82 1680.15 687.13 2586.45 2890.51 2093.83 14
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MVS_030481.73 3983.86 3679.26 4286.22 5089.18 2486.41 3867.15 6375.28 5570.75 5374.59 4183.49 3174.42 3687.05 2886.34 2990.58 1991.08 40
xxxxxxxxxxxxxcwj85.35 1985.76 3084.86 791.26 591.10 790.90 575.65 789.21 881.25 791.12 761.35 11578.82 987.42 1986.23 3091.28 393.90 12
SF-MVS87.47 789.70 784.86 791.26 591.10 790.90 575.65 789.21 881.25 791.12 788.93 678.82 987.42 1986.23 3091.28 393.90 12
TSAR-MVS + MP.86.88 1089.23 984.14 1389.78 2688.67 3190.59 1073.46 2788.99 1180.52 1391.26 688.65 879.91 786.96 3086.22 3290.59 1893.83 14
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
CDPH-MVS82.64 3485.03 3479.86 3989.41 3188.31 3688.32 3071.84 3580.11 4567.47 6282.09 2581.44 4171.85 5685.89 4086.15 3390.24 3291.25 38
MCST-MVS85.13 2386.62 2383.39 1890.55 1489.82 1689.29 2273.89 2384.38 3176.03 2979.01 3185.90 2178.47 1287.81 1586.11 3492.11 193.29 22
DELS-MVS79.15 5381.07 4876.91 5583.54 6287.31 4284.45 5164.92 7969.98 6769.34 5571.62 5276.26 5469.84 6786.57 3385.90 3589.39 4889.88 48
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
ACMMPcopyleft83.42 3185.27 3281.26 3188.47 3788.49 3488.31 3172.09 3383.42 3572.77 4182.65 2478.22 4975.18 3386.24 3885.76 3690.74 1492.13 31
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
TSAR-MVS + GP.83.69 3086.58 2580.32 3685.14 5586.96 4584.91 5070.25 4284.71 2973.91 3685.16 2185.63 2277.92 1885.44 4185.71 3789.77 4092.45 27
CANet81.62 4083.41 3779.53 4187.06 4388.59 3285.47 4567.96 5976.59 5374.05 3474.69 4081.98 3672.98 4886.14 3985.47 3889.68 4490.42 46
train_agg84.86 2587.21 2182.11 2790.59 1385.47 5589.81 1673.55 2683.95 3273.30 3889.84 1287.23 1475.61 3286.47 3485.46 3989.78 3992.06 32
3Dnovator73.76 579.75 4680.52 5178.84 4584.94 6087.35 4184.43 5265.54 7478.29 4973.97 3563.00 9175.62 5774.07 3885.00 4785.34 4090.11 3589.04 53
OPM-MVS79.68 4879.28 5780.15 3887.99 3986.77 4788.52 2972.72 3064.55 9267.65 6167.87 7174.33 6174.31 3786.37 3685.25 4189.73 4289.81 49
MVS_111021_HR80.13 4381.46 4578.58 4785.77 5285.17 5983.45 5769.28 5074.08 6170.31 5474.31 4375.26 5873.13 4486.46 3585.15 4289.53 4689.81 49
MAR-MVS79.21 5180.32 5377.92 5187.46 4088.15 3883.95 5367.48 6274.28 5968.25 5864.70 8477.04 5272.17 5285.42 4285.00 4388.22 6687.62 64
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
MSLP-MVS++82.09 3782.66 4181.42 3087.03 4487.22 4385.82 4270.04 4380.30 4478.66 2068.67 6781.04 4477.81 1985.19 4684.88 4489.19 5391.31 37
CLD-MVS79.35 5081.23 4677.16 5485.01 5886.92 4685.87 4160.89 12680.07 4775.35 3272.96 4673.21 6568.43 7685.41 4384.63 4587.41 8685.44 85
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
canonicalmvs79.16 5282.37 4375.41 6282.33 6986.38 5180.80 6363.18 9282.90 3667.34 6372.79 4776.07 5569.62 6883.46 6084.41 4689.20 5290.60 44
LGP-MVS_train79.83 4481.22 4778.22 5086.28 4985.36 5886.76 3669.59 4777.34 5065.14 7175.68 3770.79 7571.37 6284.60 4884.01 4790.18 3390.74 42
ACMM72.26 878.86 5578.13 6179.71 4086.89 4583.40 7386.02 4070.50 4075.28 5571.49 5063.01 9069.26 8773.57 4184.11 5283.98 4889.76 4187.84 62
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ETV-MVS77.32 6078.81 5875.58 6182.24 7083.64 7079.98 6864.02 8669.64 7163.90 7670.89 5669.94 8273.41 4285.39 4483.91 4989.92 3788.31 58
HQP-MVS81.19 4183.27 3878.76 4687.40 4185.45 5686.95 3570.47 4181.31 4266.91 6579.24 3076.63 5371.67 5984.43 5083.78 5089.19 5392.05 34
EPNet79.08 5480.62 4977.28 5388.90 3583.17 7683.65 5572.41 3274.41 5867.15 6476.78 3474.37 6064.43 9583.70 5683.69 5187.15 8988.19 59
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
IS_MVSNet73.33 7977.34 7168.65 10981.29 7483.47 7274.45 11863.58 8965.75 8448.49 14567.11 7670.61 7754.63 16184.51 4983.58 5289.48 4786.34 75
ACMP73.23 779.79 4580.53 5078.94 4485.61 5385.68 5385.61 4369.59 4777.33 5171.00 5274.45 4269.16 8871.88 5483.15 6183.37 5389.92 3790.57 45
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
QAPM78.47 5680.22 5476.43 5785.03 5786.75 4880.62 6666.00 7173.77 6265.35 7065.54 7978.02 5072.69 4983.71 5583.36 5488.87 5990.41 47
AdaColmapbinary79.74 4778.62 5981.05 3389.23 3386.06 5284.95 4971.96 3479.39 4875.51 3163.16 8968.84 9376.51 3083.55 5782.85 5588.13 7086.46 74
CS-MVS76.92 6278.01 6275.64 6081.47 7383.59 7180.68 6462.47 11168.39 7365.83 6867.84 7270.74 7673.07 4585.31 4582.79 5690.33 3187.42 65
Vis-MVSNetpermissive72.77 8377.20 7267.59 12174.19 13484.01 6476.61 10461.69 12160.62 12550.61 13770.25 5971.31 7355.57 15783.85 5482.28 5786.90 9888.08 60
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
UA-Net74.47 7477.80 6470.59 8985.33 5485.40 5773.54 13665.98 7260.65 12456.00 10672.11 4979.15 4654.63 16183.13 6282.25 5888.04 7281.92 122
IB-MVS66.94 1271.21 9471.66 10270.68 8679.18 9282.83 7872.61 14261.77 12059.66 12963.44 7853.26 14659.65 12359.16 13076.78 13982.11 5987.90 7587.33 67
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
test_part174.24 7573.44 8775.18 6482.02 7282.34 8183.88 5462.40 11360.93 12268.68 5649.25 17369.71 8465.73 9381.26 8281.98 6088.35 6588.60 57
CPTT-MVS81.77 3883.10 3980.21 3785.93 5186.45 5087.72 3470.98 3982.54 3971.53 4974.23 4481.49 4076.31 3182.85 6481.87 6188.79 6192.26 30
PVSNet_Blended_VisFu76.57 6477.90 6375.02 6580.56 8186.58 4979.24 7766.18 6864.81 8968.18 5965.61 7771.45 7067.05 7884.16 5181.80 6288.90 5790.92 41
Effi-MVS+75.28 7176.20 7774.20 7381.15 7583.24 7481.11 6163.13 9466.37 7860.27 8564.30 8768.88 9270.93 6581.56 7381.69 6388.61 6287.35 66
EIA-MVS75.64 6976.60 7674.53 7182.43 6883.84 6678.32 8762.28 11565.96 8263.28 7968.95 6367.54 9771.61 6082.55 6681.63 6489.24 5085.72 79
OMC-MVS80.26 4282.59 4277.54 5283.04 6385.54 5483.25 5865.05 7887.32 1972.42 4272.04 5078.97 4773.30 4383.86 5381.60 6588.15 6988.83 55
OpenMVScopyleft70.44 1076.15 6776.82 7575.37 6385.01 5884.79 6178.99 8162.07 11671.27 6667.88 6057.91 11772.36 6870.15 6682.23 6981.41 6688.12 7187.78 63
MVS_111021_LR78.13 5879.85 5676.13 5881.12 7681.50 8680.28 6765.25 7676.09 5471.32 5176.49 3672.87 6772.21 5182.79 6581.29 6786.59 11187.91 61
TranMVSNet+NR-MVSNet69.25 11470.81 10667.43 12277.23 10979.46 10773.48 13869.66 4560.43 12639.56 17858.82 10853.48 15955.74 15579.59 10581.21 6888.89 5882.70 112
ET-MVSNet_ETH3D72.46 8574.19 8370.44 9062.50 19281.17 9079.90 7162.46 11264.52 9357.52 9871.49 5459.15 12572.08 5378.61 11981.11 6988.16 6883.29 110
UniMVSNet_NR-MVSNet70.59 9872.19 9768.72 10777.72 10480.72 9673.81 13369.65 4661.99 11243.23 17060.54 9857.50 13258.57 13179.56 10781.07 7089.34 4983.97 102
DCV-MVSNet73.65 7875.78 7971.16 8380.19 8579.27 10977.45 9661.68 12266.73 7758.72 9065.31 8069.96 8162.19 10881.29 8180.97 7186.74 10486.91 69
CANet_DTU73.29 8076.96 7469.00 10677.04 11082.06 8279.49 7556.30 16267.85 7553.29 12271.12 5570.37 8061.81 11781.59 7280.96 7286.09 12084.73 96
FC-MVSNet-train72.60 8475.07 8169.71 9881.10 7778.79 11573.74 13565.23 7766.10 8153.34 12170.36 5863.40 11056.92 14681.44 7580.96 7287.93 7484.46 100
TSAR-MVS + COLMAP78.34 5781.64 4474.48 7280.13 8785.01 6081.73 5965.93 7384.75 2861.68 8185.79 1966.27 10171.39 6182.91 6380.78 7486.01 12685.98 76
EPP-MVSNet74.00 7777.41 6970.02 9580.53 8283.91 6574.99 11462.68 10665.06 8749.77 14168.68 6672.09 6963.06 10382.49 6880.73 7589.12 5588.91 54
GBi-Net70.78 9573.37 8967.76 11472.95 14678.00 12275.15 10962.72 10164.13 9551.44 13058.37 11269.02 8957.59 13881.33 7880.72 7686.70 10582.02 116
test170.78 9573.37 8967.76 11472.95 14678.00 12275.15 10962.72 10164.13 9551.44 13058.37 11269.02 8957.59 13881.33 7880.72 7686.70 10582.02 116
FMVSNet168.84 11870.47 10966.94 13371.35 16377.68 13074.71 11662.35 11456.93 14449.94 14050.01 16964.59 10557.07 14381.33 7880.72 7686.25 11682.00 119
ACMH65.37 1470.71 9770.00 11271.54 8182.51 6782.47 8077.78 9168.13 5656.19 15146.06 16154.30 13451.20 17768.68 7480.66 9180.72 7686.07 12184.45 101
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
NR-MVSNet68.79 11970.56 10766.71 13877.48 10779.54 10573.52 13769.20 5161.20 12039.76 17758.52 10950.11 18351.37 17080.26 9980.71 8088.97 5683.59 108
UGNet72.78 8277.67 6567.07 13171.65 15883.24 7475.20 10863.62 8864.93 8856.72 10271.82 5173.30 6349.02 17481.02 8780.70 8186.22 11788.67 56
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
EG-PatchMatch MVS67.24 14066.94 14767.60 12078.73 9581.35 8773.28 14059.49 14246.89 19251.42 13343.65 18553.49 15855.50 15881.38 7780.66 8287.15 8981.17 128
PCF-MVS73.28 679.42 4980.41 5278.26 4884.88 6188.17 3786.08 3969.85 4475.23 5768.43 5768.03 7078.38 4871.76 5781.26 8280.65 8388.56 6491.18 39
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
UniMVSNet (Re)69.53 11071.90 10066.76 13676.42 11380.93 9272.59 14368.03 5861.75 11541.68 17558.34 11557.23 13453.27 16679.53 10880.62 8488.57 6384.90 94
Fast-Effi-MVS+73.11 8173.66 8572.48 7877.72 10480.88 9578.55 8458.83 15265.19 8660.36 8459.98 10262.42 11371.22 6381.66 7080.61 8588.20 6784.88 95
DU-MVS69.63 10970.91 10568.13 11375.99 11579.54 10573.81 13369.20 5161.20 12043.23 17058.52 10953.50 15758.57 13179.22 11180.45 8687.97 7383.97 102
Anonymous20240521172.16 9980.85 7981.85 8376.88 10165.40 7562.89 10746.35 18067.99 9662.05 11081.15 8580.38 8785.97 12884.50 99
FMVSNet270.39 10172.67 9567.72 11772.95 14678.00 12275.15 10962.69 10563.29 10351.25 13455.64 12668.49 9557.59 13880.91 8980.35 8886.70 10582.02 116
anonymousdsp65.28 14967.98 13862.13 15958.73 20073.98 15967.10 16550.69 18548.41 18847.66 15354.27 13552.75 16961.45 12176.71 14080.20 8987.13 9389.53 52
Anonymous2023121171.90 8772.48 9671.21 8280.14 8681.53 8576.92 9962.89 9764.46 9458.94 8743.80 18470.98 7462.22 10780.70 9080.19 9086.18 11885.73 78
thisisatest053071.48 9173.01 9169.70 9973.83 13978.62 11774.53 11759.12 14664.13 9558.63 9164.60 8558.63 12764.27 9680.28 9880.17 9187.82 7984.64 98
tttt051771.41 9272.95 9269.60 10073.70 14178.70 11674.42 12159.12 14663.89 9958.35 9464.56 8658.39 12964.27 9680.29 9780.17 9187.74 8184.69 97
CDS-MVSNet67.65 13469.83 11565.09 14375.39 12276.55 14074.42 12163.75 8753.55 16949.37 14359.41 10562.45 11244.44 18179.71 10479.82 9383.17 15677.36 154
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSTER72.06 8674.24 8269.51 10170.39 16975.97 14576.91 10057.36 15964.64 9161.39 8368.86 6463.76 10863.46 10081.44 7579.70 9487.56 8485.31 87
PVSNet_BlendedMVS76.21 6577.52 6774.69 6979.46 9083.79 6777.50 9464.34 8469.88 6871.88 4468.54 6870.42 7867.05 7883.48 5879.63 9587.89 7686.87 70
PVSNet_Blended76.21 6577.52 6774.69 6979.46 9083.79 6777.50 9464.34 8469.88 6871.88 4468.54 6870.42 7867.05 7883.48 5879.63 9587.89 7686.87 70
DI_MVS_plusplus_trai75.13 7276.12 7873.96 7478.18 9881.55 8480.97 6262.54 10868.59 7265.13 7261.43 9374.81 5969.32 7181.01 8879.59 9787.64 8385.89 77
FMVSNet370.49 9972.90 9367.67 11972.88 14977.98 12574.96 11562.72 10164.13 9551.44 13058.37 11269.02 8957.43 14179.43 10979.57 9886.59 11181.81 123
TAPA-MVS71.42 977.69 5980.05 5574.94 6680.68 8084.52 6281.36 6063.14 9384.77 2764.82 7368.72 6575.91 5671.86 5581.62 7179.55 9987.80 8085.24 88
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
ACMH+66.54 1371.36 9370.09 11172.85 7782.59 6681.13 9178.56 8368.04 5761.55 11652.52 12851.50 16354.14 15068.56 7578.85 11679.50 10086.82 10183.94 104
MVS_Test75.37 7077.13 7373.31 7679.07 9381.32 8879.98 6860.12 13769.72 7064.11 7570.53 5773.22 6468.90 7280.14 10179.48 10187.67 8285.50 83
Vis-MVSNet (Re-imp)67.83 13073.52 8661.19 16378.37 9776.72 13966.80 16862.96 9565.50 8534.17 18867.19 7569.68 8539.20 19179.39 11079.44 10285.68 13276.73 159
casdiffmvs76.76 6378.46 6074.77 6880.32 8483.73 6980.65 6563.24 9173.58 6366.11 6769.39 6274.09 6269.49 7082.52 6779.35 10388.84 6086.52 73
PLCcopyleft68.99 1175.68 6875.31 8076.12 5982.94 6481.26 8979.94 7066.10 6977.15 5266.86 6659.13 10768.53 9473.73 4080.38 9579.04 10487.13 9381.68 124
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
gg-mvs-nofinetune62.55 16365.05 16159.62 17278.72 9677.61 13170.83 15053.63 16539.71 20422.04 20536.36 19764.32 10647.53 17681.16 8479.03 10585.00 14477.17 155
baseline170.10 10572.17 9867.69 11879.74 8876.80 13773.91 12964.38 8362.74 10848.30 14764.94 8164.08 10754.17 16381.46 7478.92 10685.66 13376.22 160
thisisatest051567.40 13868.78 12865.80 14170.02 17175.24 15269.36 15557.37 15854.94 16253.67 11955.53 12954.85 14658.00 13678.19 12378.91 10786.39 11583.78 106
LS3D74.08 7673.39 8874.88 6785.05 5682.62 7979.71 7368.66 5372.82 6458.80 8957.61 11861.31 11671.07 6480.32 9678.87 10886.00 12780.18 136
CNLPA77.20 6177.54 6676.80 5682.63 6584.31 6379.77 7264.64 8085.17 2473.18 3956.37 12469.81 8374.53 3581.12 8678.69 10986.04 12587.29 68
UniMVSNet_ETH3D67.18 14167.03 14667.36 12474.44 13278.12 12074.07 12866.38 6652.22 17546.87 15448.64 17451.84 17456.96 14477.29 13178.53 11085.42 13782.59 113
MSDG71.52 9069.87 11373.44 7582.21 7179.35 10879.52 7464.59 8166.15 8061.87 8053.21 14856.09 14065.85 9278.94 11578.50 11186.60 11076.85 158
tfpn200view968.11 12468.72 13067.40 12377.83 10278.93 11174.28 12362.81 9856.64 14646.82 15552.65 15653.47 16056.59 14780.41 9278.43 11286.11 11980.52 133
thres40067.95 12768.62 13267.17 12877.90 9978.59 11874.27 12462.72 10156.34 15045.77 16353.00 15153.35 16356.46 14880.21 10078.43 11285.91 13080.43 134
HyFIR lowres test69.47 11268.94 12670.09 9476.77 11282.93 7776.63 10360.17 13559.00 13254.03 11540.54 19365.23 10467.89 7776.54 14278.30 11485.03 14380.07 137
Baseline_NR-MVSNet67.53 13768.77 12966.09 14075.99 11574.75 15672.43 14468.41 5461.33 11938.33 18151.31 16454.13 15256.03 15179.22 11178.19 11585.37 13882.45 114
CHOSEN 1792x268869.20 11569.26 12269.13 10376.86 11178.93 11177.27 9760.12 13761.86 11454.42 11142.54 18861.61 11466.91 8378.55 12078.14 11679.23 17083.23 111
diffmvs74.86 7377.37 7071.93 7975.62 12080.35 10079.42 7660.15 13672.81 6564.63 7471.51 5373.11 6666.53 8879.02 11477.98 11785.25 14086.83 72
thres20067.98 12668.55 13367.30 12677.89 10178.86 11374.18 12762.75 9956.35 14946.48 15852.98 15253.54 15656.46 14880.41 9277.97 11886.05 12379.78 140
pm-mvs165.62 14667.42 14363.53 15573.66 14276.39 14169.66 15260.87 12749.73 18543.97 16951.24 16557.00 13748.16 17579.89 10277.84 11984.85 14779.82 139
thres600view767.68 13268.43 13466.80 13577.90 9978.86 11373.84 13162.75 9956.07 15244.70 16852.85 15452.81 16755.58 15680.41 9277.77 12086.05 12380.28 135
WR-MVS63.03 15967.40 14457.92 17875.14 12477.60 13260.56 19166.10 6954.11 16823.88 19953.94 14053.58 15534.50 19573.93 15577.71 12187.35 8780.94 129
TransMVSNet (Re)64.74 15265.66 15563.66 15477.40 10875.33 15169.86 15162.67 10747.63 19041.21 17650.01 16952.33 17045.31 18079.57 10677.69 12285.49 13577.07 157
thres100view90067.60 13668.02 13767.12 13077.83 10277.75 12973.90 13062.52 10956.64 14646.82 15552.65 15653.47 16055.92 15278.77 11777.62 12385.72 13179.23 143
GA-MVS68.14 12369.17 12466.93 13473.77 14078.50 11974.45 11858.28 15455.11 15848.44 14660.08 10053.99 15361.50 11978.43 12177.57 12485.13 14180.54 132
gm-plane-assit57.00 18757.62 19456.28 18476.10 11462.43 20047.62 20746.57 19833.84 20723.24 20137.52 19440.19 20459.61 12979.81 10377.55 12584.55 14872.03 179
v1070.22 10369.76 11670.74 8474.79 12880.30 10279.22 7859.81 14057.71 14056.58 10454.22 13955.31 14366.95 8178.28 12277.47 12687.12 9585.07 91
v114469.93 10769.36 12170.61 8874.89 12780.93 9279.11 7960.64 12855.97 15355.31 10953.85 14154.14 15066.54 8778.10 12477.44 12787.14 9285.09 90
v7n67.05 14266.94 14767.17 12872.35 15178.97 11073.26 14158.88 15151.16 18150.90 13548.21 17650.11 18360.96 12277.70 12777.38 12886.68 10885.05 92
IterMVS-LS71.69 8972.82 9470.37 9177.54 10676.34 14275.13 11260.46 13261.53 11757.57 9764.89 8267.33 9866.04 9177.09 13577.37 12985.48 13685.18 89
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v119269.50 11168.83 12770.29 9274.49 13180.92 9478.55 8460.54 13055.04 15954.21 11252.79 15552.33 17066.92 8277.88 12677.35 13087.04 9685.51 82
PEN-MVS62.96 16065.77 15459.70 17173.98 13775.45 14963.39 18467.61 6152.49 17325.49 19853.39 14349.12 18640.85 18971.94 16777.26 13186.86 10080.72 131
v2v48270.05 10669.46 12070.74 8474.62 13080.32 10179.00 8060.62 12957.41 14256.89 10155.43 13055.14 14566.39 8977.25 13277.14 13286.90 9883.57 109
MS-PatchMatch70.17 10470.49 10869.79 9780.98 7877.97 12777.51 9358.95 14962.33 11055.22 11053.14 14965.90 10262.03 11179.08 11377.11 13384.08 15077.91 150
V4268.76 12069.63 11767.74 11664.93 18978.01 12178.30 8856.48 16158.65 13456.30 10554.26 13757.03 13664.85 9477.47 13077.01 13485.60 13484.96 93
tfpnnormal64.27 15563.64 17165.02 14475.84 11875.61 14871.24 14962.52 10947.79 18942.97 17242.65 18744.49 19752.66 16878.77 11776.86 13584.88 14679.29 142
v124068.64 12167.89 14069.51 10173.89 13880.26 10376.73 10259.97 13953.43 17053.08 12351.82 16250.84 17966.62 8676.79 13876.77 13686.78 10385.34 86
v14419269.34 11368.68 13170.12 9374.06 13580.54 9778.08 9060.54 13054.99 16154.13 11452.92 15352.80 16866.73 8577.13 13476.72 13787.15 8985.63 80
v870.23 10269.86 11470.67 8774.69 12979.82 10478.79 8259.18 14558.80 13358.20 9555.00 13157.33 13366.31 9077.51 12976.71 13886.82 10183.88 105
v192192069.03 11668.32 13569.86 9674.03 13680.37 9977.55 9260.25 13454.62 16353.59 12052.36 15951.50 17666.75 8477.17 13376.69 13986.96 9785.56 81
baseline269.69 10870.27 11069.01 10575.72 11977.13 13573.82 13258.94 15061.35 11857.09 10061.68 9257.17 13561.99 11278.10 12476.58 14086.48 11479.85 138
DTE-MVSNet61.85 17264.96 16358.22 17774.32 13374.39 15861.01 19067.85 6051.76 18021.91 20653.28 14548.17 18737.74 19272.22 16476.44 14186.52 11378.49 147
LTVRE_ROB59.44 1661.82 17562.64 17760.87 16572.83 15077.19 13464.37 18058.97 14833.56 20828.00 19552.59 15842.21 20063.93 9974.52 15176.28 14277.15 17782.13 115
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
pmmvs662.41 16662.88 17461.87 16071.38 16275.18 15567.76 16159.45 14441.64 20042.52 17437.33 19552.91 16646.87 17777.67 12876.26 14383.23 15579.18 144
Fast-Effi-MVS+-dtu68.34 12269.47 11967.01 13275.15 12377.97 12777.12 9855.40 16457.87 13546.68 15756.17 12560.39 11762.36 10676.32 14376.25 14485.35 13981.34 126
TDRefinement66.09 14565.03 16267.31 12569.73 17376.75 13875.33 10564.55 8260.28 12749.72 14245.63 18242.83 19960.46 12775.75 14475.95 14584.08 15078.04 149
CP-MVSNet62.68 16265.49 15759.40 17471.84 15475.34 15062.87 18667.04 6452.64 17227.19 19653.38 14448.15 18841.40 18771.26 17075.68 14686.07 12182.00 119
PS-CasMVS62.38 16865.06 16059.25 17571.73 15575.21 15462.77 18766.99 6551.94 17926.96 19752.00 16147.52 19141.06 18871.16 17375.60 14785.97 12881.97 121
Effi-MVS+-dtu71.82 8871.86 10171.78 8078.77 9480.47 9878.55 8461.67 12360.68 12355.49 10758.48 11165.48 10368.85 7376.92 13675.55 14887.35 8785.46 84
COLMAP_ROBcopyleft62.73 1567.66 13366.76 14968.70 10880.49 8377.98 12575.29 10762.95 9663.62 10149.96 13947.32 17950.72 18058.57 13176.87 13775.50 14984.94 14575.33 169
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
pmmvs467.89 12867.39 14568.48 11071.60 16073.57 16074.45 11860.98 12564.65 9057.97 9654.95 13251.73 17561.88 11473.78 15675.11 15083.99 15277.91 150
WR-MVS_H61.83 17465.87 15357.12 18171.72 15676.87 13661.45 18966.19 6751.97 17822.92 20353.13 15052.30 17233.80 19671.03 17475.00 15186.65 10980.78 130
EPNet_dtu68.08 12571.00 10464.67 14779.64 8968.62 17875.05 11363.30 9066.36 7945.27 16567.40 7466.84 10043.64 18375.37 14674.98 15281.15 16277.44 153
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
baseline70.45 10074.09 8466.20 13970.95 16675.67 14674.26 12553.57 16668.33 7458.42 9269.87 6071.45 7061.55 11874.84 15074.76 15378.42 17283.72 107
USDC67.36 13967.90 13966.74 13771.72 15675.23 15371.58 14660.28 13367.45 7650.54 13860.93 9445.20 19662.08 10976.56 14174.50 15484.25 14975.38 168
PatchMatch-RL67.78 13166.65 15069.10 10473.01 14572.69 16368.49 15861.85 11962.93 10660.20 8656.83 12350.42 18169.52 6975.62 14574.46 15581.51 16073.62 177
IterMVS-SCA-FT66.89 14369.22 12364.17 14971.30 16475.64 14771.33 14753.17 17057.63 14149.08 14460.72 9660.05 12163.09 10274.99 14973.92 15677.07 17881.57 125
v14867.85 12967.53 14168.23 11173.25 14477.57 13374.26 12557.36 15955.70 15457.45 9953.53 14255.42 14261.96 11375.23 14773.92 15685.08 14281.32 127
pmmvs-eth3d63.52 15862.44 18064.77 14666.82 18470.12 17269.41 15459.48 14354.34 16752.71 12446.24 18144.35 19856.93 14572.37 16073.77 15883.30 15475.91 162
PMMVS65.06 15069.17 12460.26 16855.25 20663.43 19466.71 16943.01 20262.41 10950.64 13669.44 6167.04 9963.29 10174.36 15373.54 15982.68 15773.99 176
pmmvs562.37 16964.04 16860.42 16665.03 18771.67 16767.17 16452.70 17550.30 18244.80 16654.23 13851.19 17849.37 17372.88 15973.48 16083.45 15374.55 172
CR-MVSNet64.83 15165.54 15664.01 15270.64 16869.41 17365.97 17352.74 17357.81 13752.65 12554.27 13556.31 13960.92 12372.20 16573.09 16181.12 16375.69 165
PatchT61.97 17164.04 16859.55 17360.49 19667.40 18156.54 19748.65 19256.69 14552.65 12551.10 16652.14 17360.92 12372.20 16573.09 16178.03 17375.69 165
IterMVS66.36 14468.30 13664.10 15069.48 17674.61 15773.41 13950.79 18457.30 14348.28 14860.64 9759.92 12260.85 12674.14 15472.66 16381.80 15978.82 146
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
TinyColmap62.84 16161.03 18664.96 14569.61 17471.69 16668.48 15959.76 14155.41 15547.69 15247.33 17834.20 20762.76 10574.52 15172.59 16481.44 16171.47 180
TAMVS59.58 18262.81 17655.81 18566.03 18565.64 18863.86 18248.74 19149.95 18437.07 18554.77 13358.54 12844.44 18172.29 16271.79 16574.70 18966.66 191
MIMVSNet58.52 18561.34 18555.22 18760.76 19567.01 18366.81 16749.02 19056.43 14838.90 18040.59 19254.54 14940.57 19073.16 15871.65 16675.30 18866.00 192
SixPastTwentyTwo61.84 17362.45 17961.12 16469.20 17772.20 16462.03 18857.40 15746.54 19338.03 18357.14 12241.72 20158.12 13569.67 18471.58 16781.94 15878.30 148
CVMVSNet62.55 16365.89 15258.64 17666.95 18269.15 17566.49 17256.29 16352.46 17432.70 18959.27 10658.21 13150.09 17271.77 16871.39 16879.31 16978.99 145
FC-MVSNet-test56.90 18865.20 15947.21 19866.98 18163.20 19649.11 20658.60 15359.38 13111.50 21265.60 7856.68 13824.66 20571.17 17271.36 16972.38 19669.02 187
FMVSNet557.24 18660.02 18953.99 19156.45 20362.74 19865.27 17647.03 19755.14 15739.55 17940.88 19053.42 16241.83 18472.35 16171.10 17073.79 19264.50 194
CMPMVSbinary47.78 1762.49 16562.52 17862.46 15870.01 17270.66 17162.97 18551.84 17951.98 17756.71 10342.87 18653.62 15457.80 13772.23 16370.37 17175.45 18775.91 162
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test0.0.03 158.80 18361.58 18455.56 18675.02 12568.45 17959.58 19561.96 11752.74 17129.57 19249.75 17254.56 14831.46 19871.19 17169.77 17275.75 18364.57 193
test-mter60.84 17864.62 16556.42 18355.99 20464.18 18965.39 17534.23 20754.39 16646.21 16057.40 12159.49 12455.86 15371.02 17569.65 17380.87 16576.20 161
test-LLR64.42 15364.36 16664.49 14875.02 12563.93 19166.61 17061.96 11754.41 16447.77 15057.46 11960.25 11855.20 15970.80 17669.33 17480.40 16674.38 173
TESTMET0.1,161.10 17764.36 16657.29 18057.53 20163.93 19166.61 17036.22 20654.41 16447.77 15057.46 11960.25 11855.20 15970.80 17669.33 17480.40 16674.38 173
test20.0353.93 19456.28 19551.19 19472.19 15365.83 18653.20 20161.08 12442.74 19822.08 20437.07 19645.76 19524.29 20670.44 18069.04 17674.31 19163.05 197
MIMVSNet149.27 19753.25 19744.62 20044.61 20861.52 20153.61 20052.18 17641.62 20118.68 20828.14 20641.58 20225.50 20168.46 19069.04 17673.15 19462.37 199
Anonymous2023120656.36 18957.80 19354.67 18970.08 17066.39 18560.46 19257.54 15649.50 18729.30 19333.86 20046.64 19235.18 19470.44 18068.88 17875.47 18668.88 188
CostFormer68.92 11769.58 11868.15 11275.98 11776.17 14478.22 8951.86 17865.80 8361.56 8263.57 8862.83 11161.85 11570.40 18268.67 17979.42 16879.62 141
testgi54.39 19357.86 19250.35 19571.59 16167.24 18254.95 19953.25 16943.36 19723.78 20044.64 18347.87 18924.96 20370.45 17968.66 18073.60 19362.78 198
CHOSEN 280x42058.70 18461.88 18354.98 18855.45 20550.55 20864.92 17740.36 20355.21 15638.13 18248.31 17563.76 10863.03 10473.73 15768.58 18168.00 20473.04 178
RPMNet61.71 17662.88 17460.34 16769.51 17569.41 17363.48 18349.23 18857.81 13745.64 16450.51 16750.12 18253.13 16768.17 19168.49 18281.07 16475.62 167
RPSCF67.64 13571.25 10363.43 15661.86 19470.73 17067.26 16350.86 18374.20 6058.91 8867.49 7369.33 8664.10 9871.41 16968.45 18377.61 17477.17 155
SCA65.40 14866.58 15164.02 15170.65 16773.37 16167.35 16253.46 16863.66 10054.14 11360.84 9560.20 12061.50 11969.96 18368.14 18477.01 17969.91 183
ambc53.42 19664.99 18863.36 19549.96 20447.07 19137.12 18428.97 20416.36 21541.82 18575.10 14867.34 18571.55 19875.72 164
MDTV_nov1_ep1364.37 15465.24 15863.37 15768.94 17870.81 16972.40 14550.29 18760.10 12853.91 11760.07 10159.15 12557.21 14269.43 18667.30 18677.47 17569.78 185
GG-mvs-BLEND46.86 20167.51 14222.75 2070.05 21776.21 14364.69 1780.04 21461.90 1130.09 21855.57 12771.32 720.08 21370.54 17867.19 18771.58 19769.86 184
dps64.00 15762.99 17365.18 14273.29 14372.07 16568.98 15753.07 17157.74 13958.41 9355.55 12847.74 19060.89 12569.53 18567.14 18876.44 18271.19 181
PM-MVS60.48 17960.94 18759.94 16958.85 19966.83 18464.27 18151.39 18155.03 16048.03 14950.00 17140.79 20358.26 13469.20 18767.13 18978.84 17177.60 152
MDTV_nov1_ep13_2view60.16 18060.51 18859.75 17065.39 18669.05 17668.00 16048.29 19451.99 17645.95 16248.01 17749.64 18553.39 16568.83 18866.52 19077.47 17569.55 186
PatchmatchNetpermissive64.21 15664.65 16463.69 15371.29 16568.66 17769.63 15351.70 18063.04 10453.77 11859.83 10458.34 13060.23 12868.54 18966.06 19175.56 18568.08 189
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MDA-MVSNet-bldmvs53.37 19553.01 19853.79 19243.67 21067.95 18059.69 19457.92 15543.69 19632.41 19041.47 18927.89 21252.38 16956.97 20565.99 19276.68 18067.13 190
EU-MVSNet54.63 19158.69 19049.90 19656.99 20262.70 19956.41 19850.64 18645.95 19523.14 20250.42 16846.51 19336.63 19365.51 19464.85 19375.57 18474.91 170
tpm62.41 16663.15 17261.55 16272.24 15263.79 19371.31 14846.12 20057.82 13655.33 10859.90 10354.74 14753.63 16467.24 19264.29 19470.65 20074.25 175
tpm cat165.41 14763.81 17067.28 12775.61 12172.88 16275.32 10652.85 17262.97 10563.66 7753.24 14753.29 16561.83 11665.54 19364.14 19574.43 19074.60 171
pmmvs347.65 19849.08 20345.99 19944.61 20854.79 20650.04 20331.95 21033.91 20629.90 19130.37 20233.53 20846.31 17863.50 19663.67 19673.14 19563.77 196
tpmrst62.00 17062.35 18161.58 16171.62 15964.14 19069.07 15648.22 19662.21 11153.93 11658.26 11655.30 14455.81 15463.22 19762.62 19770.85 19970.70 182
EPMVS60.00 18161.97 18257.71 17968.46 17963.17 19764.54 17948.23 19563.30 10244.72 16760.19 9956.05 14150.85 17165.27 19562.02 19869.44 20263.81 195
Gipumacopyleft36.38 20435.80 20637.07 20345.76 20733.90 21129.81 21148.47 19339.91 20318.02 2098.00 2138.14 21725.14 20259.29 20261.02 19955.19 20940.31 207
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
ADS-MVSNet55.94 19058.01 19153.54 19362.48 19358.48 20259.12 19646.20 19959.65 13042.88 17352.34 16053.31 16446.31 17862.00 19960.02 20064.23 20660.24 202
MVS-HIRNet54.41 19252.10 19957.11 18258.99 19856.10 20549.68 20549.10 18946.18 19452.15 12933.18 20146.11 19456.10 15063.19 19859.70 20176.64 18160.25 201
FPMVS51.87 19650.00 20154.07 19066.83 18357.25 20360.25 19350.91 18250.25 18334.36 18736.04 19832.02 20941.49 18658.98 20356.07 20270.56 20159.36 203
N_pmnet47.35 19950.13 20044.11 20159.98 19751.64 20751.86 20244.80 20149.58 18620.76 20740.65 19140.05 20529.64 19959.84 20155.15 20357.63 20754.00 205
new-patchmatchnet46.97 20049.47 20244.05 20262.82 19156.55 20445.35 20852.01 17742.47 19917.04 21035.73 19935.21 20621.84 20961.27 20054.83 20465.26 20560.26 200
PMVScopyleft39.38 1846.06 20243.30 20449.28 19762.93 19038.75 21041.88 20953.50 16733.33 20935.46 18628.90 20531.01 21033.04 19758.61 20454.63 20568.86 20357.88 204
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
new_pmnet38.40 20342.64 20533.44 20437.54 21345.00 20936.60 21032.72 20940.27 20212.72 21129.89 20328.90 21124.78 20453.17 20652.90 20656.31 20848.34 206
MVEpermissive19.12 1920.47 20823.27 20817.20 20912.66 21625.41 21310.52 21634.14 20814.79 2146.53 2168.79 2124.68 21816.64 21029.49 20941.63 20722.73 21438.11 208
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMMVS225.60 20529.75 20720.76 20828.00 21430.93 21223.10 21229.18 21123.14 2111.46 21718.23 20916.54 2145.08 21140.22 20741.40 20837.76 21037.79 209
tmp_tt14.50 21014.68 2157.17 21710.46 2172.21 21337.73 20528.71 19425.26 20716.98 2134.37 21231.49 20829.77 20926.56 213
E-PMN21.77 20618.24 20925.89 20540.22 21119.58 21412.46 21539.87 20418.68 2136.71 2149.57 2104.31 22022.36 20819.89 21127.28 21033.73 21128.34 211
EMVS20.98 20717.15 21025.44 20639.51 21219.37 21512.66 21439.59 20519.10 2126.62 2159.27 2114.40 21922.43 20717.99 21224.40 21131.81 21225.53 212
testmvs0.09 2090.15 2110.02 2110.01 2180.02 2180.05 2190.01 2150.11 2150.01 2190.26 2150.01 2210.06 2150.10 2130.10 2120.01 2160.43 214
test1230.09 2090.14 2120.02 2110.00 2190.02 2180.02 2200.01 2150.09 2160.00 2200.30 2140.00 2220.08 2130.03 2140.09 2130.01 2160.45 213
uanet_test0.00 2110.00 2130.00 2130.00 2190.00 2200.00 2210.00 2170.00 2170.00 2200.00 2160.00 2220.00 2160.00 2150.00 2140.00 2180.00 215
sosnet-low-res0.00 2110.00 2130.00 2130.00 2190.00 2200.00 2210.00 2170.00 2170.00 2200.00 2160.00 2220.00 2160.00 2150.00 2140.00 2180.00 215
sosnet0.00 2110.00 2130.00 2130.00 2190.00 2200.00 2210.00 2170.00 2170.00 2200.00 2160.00 2220.00 2160.00 2150.00 2140.00 2180.00 215
RE-MVS-def46.24 159
9.1486.88 15
SR-MVS88.99 3473.57 2587.54 13
our_test_367.93 18070.99 16866.89 166
MTAPA83.48 186.45 18
MTMP82.66 584.91 26
Patchmatch-RL test2.85 218
XVS86.63 4688.68 2885.00 4771.81 4681.92 3790.47 22
X-MVStestdata86.63 4688.68 2885.00 4771.81 4681.92 3790.47 22
abl_679.05 4387.27 4288.85 2683.62 5668.25 5581.68 4172.94 4073.79 4584.45 2872.55 5089.66 4590.64 43
mPP-MVS89.90 2581.29 42
NP-MVS80.10 46
Patchmtry65.80 18765.97 17352.74 17352.65 125
DeepMVS_CXcopyleft18.74 21618.55 2138.02 21226.96 2107.33 21323.81 20813.05 21625.99 20025.17 21022.45 21536.25 210