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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
DPE-MVScopyleft95.53 396.13 394.82 196.81 2298.05 397.42 193.09 194.31 891.49 697.12 195.03 393.27 395.55 594.58 1196.86 698.25 3
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
APDe-MVS95.23 495.69 594.70 497.12 1097.81 597.19 292.83 395.06 590.98 1096.47 292.77 1093.38 295.34 894.21 1596.68 898.17 4
SED-MVS95.61 196.36 194.73 296.84 1998.15 297.08 392.92 295.64 291.84 495.98 495.33 192.83 696.00 194.94 396.90 498.45 2
MSP-MVS95.12 595.83 494.30 596.82 2197.94 496.98 492.37 1195.40 390.59 1396.16 393.71 592.70 794.80 1594.77 796.37 1597.99 7
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
TSAR-MVS + MP.94.48 1094.97 893.90 1395.53 3797.01 1596.69 590.71 2494.24 990.92 1194.97 892.19 1593.03 494.83 1493.60 2696.51 1397.97 8
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
DVP-MVS95.56 296.26 294.73 296.93 1698.19 196.62 692.81 496.15 191.73 595.01 795.31 293.41 195.95 294.77 796.90 498.46 1
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
APD-MVScopyleft94.37 1194.47 1594.26 697.18 896.99 1696.53 792.68 592.45 2489.96 1794.53 1191.63 2092.89 594.58 2193.82 2296.31 1897.26 18
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HPM-MVS++copyleft94.60 894.91 1094.24 797.86 196.53 3296.14 892.51 893.87 1590.76 1293.45 1893.84 492.62 895.11 1194.08 1895.58 5197.48 13
SteuartSystems-ACMMP94.06 1394.65 1193.38 1996.97 1597.36 896.12 991.78 1492.05 2887.34 3094.42 1290.87 2491.87 1995.47 794.59 1096.21 2097.77 10
Skip Steuart: Steuart Systems R&D Blog.
CNVR-MVS94.37 1194.65 1194.04 1197.29 697.11 1096.00 1092.43 1093.45 1689.85 1990.92 2593.04 892.59 995.77 494.82 596.11 2297.42 15
SMA-MVScopyleft94.70 695.35 693.93 1297.57 297.57 795.98 1191.91 1394.50 690.35 1493.46 1792.72 1191.89 1895.89 395.22 195.88 2898.10 5
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
ACMMP_NAP93.94 1594.49 1493.30 2097.03 1397.31 995.96 1291.30 1893.41 1888.55 2493.00 1990.33 2891.43 2695.53 694.41 1395.53 5397.47 14
MCST-MVS93.81 1694.06 1893.53 1796.79 2396.85 2095.95 1391.69 1692.20 2687.17 3290.83 2793.41 691.96 1494.49 2493.50 3197.61 197.12 22
DPM-MVS91.72 3591.48 3592.00 3195.53 3795.75 4595.94 1491.07 2191.20 3485.58 4181.63 5690.74 2688.40 4693.40 3993.75 2495.45 5793.85 83
train_agg92.87 2593.53 2492.09 3096.88 1895.38 4995.94 1490.59 2890.65 3883.65 5194.31 1391.87 1990.30 3193.38 4092.42 4795.17 7096.73 31
NCCC93.69 1993.66 2293.72 1697.37 596.66 2995.93 1692.50 993.40 1988.35 2587.36 3592.33 1492.18 1294.89 1394.09 1796.00 2496.91 26
zzz-MVS93.80 1793.45 2594.20 897.53 396.43 3695.88 1791.12 2094.09 1192.74 387.68 3390.77 2592.04 1394.74 1793.56 2895.91 2796.85 27
xxxxxxxxxxxxxcwj92.95 2491.88 3394.20 896.75 2497.07 1195.82 1892.60 693.98 1291.09 895.89 571.01 12791.93 1594.40 2793.56 2897.04 297.27 16
SF-MVS94.61 794.96 994.20 896.75 2497.07 1195.82 1892.60 693.98 1291.09 895.89 592.54 1291.93 1594.40 2793.56 2897.04 297.27 16
HFP-MVS94.02 1494.22 1793.78 1497.25 796.85 2095.81 2090.94 2394.12 1090.29 1694.09 1489.98 3192.52 1093.94 3393.49 3395.87 3097.10 23
ACMMPR93.72 1893.94 1993.48 1897.07 1196.93 1795.78 2190.66 2693.88 1489.24 2193.53 1689.08 3892.24 1193.89 3593.50 3195.88 2896.73 31
SD-MVS94.53 995.22 793.73 1595.69 3697.03 1495.77 2291.95 1294.41 791.35 794.97 893.34 791.80 2094.72 1893.99 1995.82 3598.07 6
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
PGM-MVS92.76 2693.03 2892.45 2897.03 1396.67 2895.73 2387.92 4290.15 4386.53 3692.97 2088.33 4491.69 2193.62 3893.03 4095.83 3496.41 37
CP-MVS93.25 2193.26 2693.24 2196.84 1996.51 3395.52 2490.61 2792.37 2588.88 2290.91 2689.52 3491.91 1793.64 3792.78 4695.69 4297.09 24
MP-MVScopyleft93.35 2093.59 2393.08 2397.39 496.82 2295.38 2590.71 2490.82 3688.07 2792.83 2190.29 2991.32 2794.03 3093.19 3995.61 4997.16 20
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
DeepC-MVS_fast88.76 193.10 2293.02 2993.19 2297.13 996.51 3395.35 2691.19 1993.14 2188.14 2685.26 4189.49 3591.45 2395.17 995.07 295.85 3396.48 34
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
X-MVS92.36 3092.75 3091.90 3396.89 1796.70 2595.25 2790.48 2991.50 3383.95 4888.20 3188.82 4089.11 3893.75 3693.43 3595.75 4096.83 29
DeepC-MVS87.86 392.26 3191.86 3492.73 2596.18 2996.87 1995.19 2891.76 1592.17 2786.58 3581.79 5285.85 5190.88 2994.57 2294.61 995.80 3697.18 19
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + ACMM92.97 2394.51 1391.16 3795.88 3496.59 3095.09 2990.45 3093.42 1783.01 5394.68 1090.74 2688.74 4294.75 1693.78 2393.82 13197.63 11
CPTT-MVS91.39 3790.95 4091.91 3295.06 3995.24 5195.02 3088.98 3691.02 3586.71 3484.89 4388.58 4391.60 2290.82 8289.67 9494.08 11896.45 35
CDPH-MVS91.14 3992.01 3290.11 4396.18 2996.18 3994.89 3188.80 3888.76 4877.88 8589.18 3087.71 4787.29 6193.13 4393.31 3795.62 4795.84 46
3Dnovator+86.06 491.60 3690.86 4292.47 2796.00 3396.50 3594.70 3287.83 4390.49 3989.92 1874.68 9189.35 3690.66 3094.02 3194.14 1695.67 4496.85 27
CSCG92.76 2693.16 2792.29 2996.30 2897.74 694.67 3388.98 3692.46 2389.73 2086.67 3792.15 1788.69 4392.26 5592.92 4495.40 5897.89 9
MVS_030490.88 4091.35 3890.34 4293.91 5296.79 2394.49 3486.54 5086.57 5582.85 5581.68 5589.70 3387.57 5694.64 2093.93 2096.67 1096.15 41
ACMMPcopyleft92.03 3392.16 3191.87 3495.88 3496.55 3194.47 3589.49 3391.71 3185.26 4291.52 2484.48 5790.21 3492.82 4991.63 5395.92 2696.42 36
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
OPM-MVS87.56 6885.80 8489.62 5093.90 5394.09 7094.12 3688.18 3975.40 12977.30 8876.41 8077.93 9288.79 4192.20 5790.82 6495.40 5893.72 87
3Dnovator85.17 590.48 4289.90 4891.16 3794.88 4395.74 4693.82 3785.36 5789.28 4587.81 2874.34 9387.40 4888.56 4493.07 4493.74 2596.53 1295.71 48
CANet91.33 3891.46 3691.18 3695.01 4096.71 2493.77 3887.39 4687.72 5187.26 3181.77 5389.73 3287.32 6094.43 2693.86 2196.31 1896.02 44
DELS-MVS89.71 4689.68 5089.74 4793.75 5496.22 3893.76 3985.84 5382.53 7485.05 4478.96 6984.24 5884.25 7794.91 1294.91 495.78 3996.02 44
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
MSLP-MVS++92.02 3491.40 3792.75 2496.01 3295.88 4493.73 4089.00 3489.89 4490.31 1581.28 5888.85 3991.45 2392.88 4894.24 1496.00 2496.76 30
TSAR-MVS + GP.92.71 2893.91 2091.30 3591.96 7296.00 4193.43 4187.94 4192.53 2286.27 4093.57 1591.94 1891.44 2593.29 4192.89 4596.78 797.15 21
LGP-MVS_train88.25 6288.55 5587.89 6692.84 6693.66 7593.35 4285.22 5985.77 5874.03 9986.60 3876.29 9986.62 6791.20 6990.58 7295.29 6695.75 47
HQP-MVS89.13 5289.58 5188.60 6093.53 5693.67 7493.29 4387.58 4588.53 4975.50 9087.60 3480.32 7587.07 6290.66 8889.95 8594.62 9796.35 39
PCF-MVS84.60 688.66 5587.75 6889.73 4893.06 6296.02 4093.22 4490.00 3182.44 7780.02 7477.96 7585.16 5487.36 5988.54 11288.54 11694.72 9095.61 51
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PHI-MVS92.05 3293.74 2190.08 4494.96 4197.06 1393.11 4587.71 4490.71 3780.78 6892.40 2291.03 2287.68 5494.32 2994.48 1296.21 2096.16 40
AdaColmapbinary90.29 4388.38 5892.53 2696.10 3195.19 5292.98 4691.40 1789.08 4788.65 2378.35 7281.44 7091.30 2890.81 8390.21 7794.72 9093.59 89
EPNet89.60 4789.91 4789.24 5496.45 2793.61 7692.95 4788.03 4085.74 5983.36 5287.29 3683.05 6380.98 9692.22 5691.85 5193.69 13695.58 52
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CLD-MVS88.66 5588.52 5688.82 5691.37 7694.22 6792.82 4882.08 9788.27 5085.14 4381.86 5178.53 8985.93 7191.17 7190.61 7095.55 5295.00 60
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
QAPM89.49 4989.58 5189.38 5294.73 4595.94 4292.35 4985.00 6085.69 6080.03 7376.97 7987.81 4687.87 5192.18 5992.10 4996.33 1696.40 38
TSAR-MVS + COLMAP88.40 5889.09 5387.60 7192.72 6793.92 7392.21 5085.57 5691.73 3073.72 10091.75 2373.22 11987.64 5591.49 6589.71 9393.73 13491.82 125
abl_690.66 4094.65 4796.27 3792.21 5086.94 4890.23 4186.38 3785.50 4092.96 988.37 4795.40 5895.46 54
DI_MVS_plusplus_trai86.41 7485.54 8687.42 7289.24 10393.13 8292.16 5282.65 9282.30 7880.75 6968.30 12780.41 7485.01 7490.56 8990.07 8094.70 9294.01 80
TAPA-MVS84.37 788.91 5488.93 5488.89 5593.00 6394.85 5892.00 5384.84 6191.68 3280.05 7279.77 6484.56 5688.17 4990.11 9389.00 11195.30 6592.57 112
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
XVS93.11 6096.70 2591.91 5483.95 4888.82 4095.79 37
X-MVStestdata93.11 6096.70 2591.91 5483.95 4888.82 4095.79 37
OMC-MVS90.23 4490.40 4390.03 4593.45 5795.29 5091.89 5686.34 5293.25 2084.94 4581.72 5486.65 5088.90 3991.69 6390.27 7694.65 9593.95 81
canonicalmvs89.36 5089.92 4688.70 5891.38 7595.92 4391.81 5782.61 9490.37 4082.73 5882.09 5079.28 8588.30 4891.17 7193.59 2795.36 6197.04 25
MVS_111021_HR90.56 4191.29 3989.70 4994.71 4695.63 4791.81 5786.38 5187.53 5281.29 6387.96 3285.43 5387.69 5393.90 3492.93 4396.33 1695.69 49
PLCcopyleft83.76 988.61 5786.83 7490.70 3994.22 4992.63 9391.50 5987.19 4789.16 4686.87 3375.51 8680.87 7289.98 3690.01 9489.20 10594.41 11090.45 144
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
ACMM83.27 1087.68 6786.09 8089.54 5193.26 5892.19 9991.43 6086.74 4986.02 5782.85 5575.63 8575.14 10288.41 4590.68 8789.99 8294.59 9892.97 96
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
DeepPCF-MVS88.51 292.64 2994.42 1690.56 4194.84 4496.92 1891.31 6189.61 3295.16 484.55 4689.91 2991.45 2190.15 3595.12 1094.81 692.90 15097.58 12
ACMP83.90 888.32 6188.06 6188.62 5992.18 7093.98 7291.28 6285.24 5886.69 5481.23 6485.62 3975.13 10387.01 6489.83 9689.77 9194.79 8495.43 55
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
OpenMVScopyleft82.53 1187.71 6686.84 7388.73 5794.42 4895.06 5491.02 6383.49 7882.50 7682.24 6067.62 13185.48 5285.56 7291.19 7091.30 5695.67 4494.75 66
CS-MVS89.50 4890.33 4488.52 6290.14 9694.40 6591.00 6480.28 11584.74 6982.81 5782.72 4887.23 4990.22 3394.66 1993.48 3496.67 1095.07 58
test_part183.23 10380.55 12586.35 7688.60 11090.61 11290.78 6581.13 10570.89 16083.01 5355.72 18874.60 10582.19 8887.79 12089.26 10292.39 15595.01 59
MAR-MVS88.39 6088.44 5788.33 6594.90 4295.06 5490.51 6683.59 7585.27 6279.07 7777.13 7782.89 6487.70 5292.19 5892.32 4894.23 11594.20 79
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
MVS_111021_LR90.14 4590.89 4189.26 5393.23 5994.05 7190.43 6784.65 6290.16 4284.52 4790.14 2883.80 6087.99 5092.50 5390.92 6294.74 8894.70 68
MVS_Test86.93 7187.24 7086.56 7590.10 9793.47 7890.31 6880.12 11883.55 7178.12 8179.58 6579.80 8085.45 7390.17 9290.59 7195.29 6693.53 90
ET-MVSNet_ETH3D84.65 8785.58 8583.56 10774.99 20892.62 9590.29 6980.38 10982.16 7973.01 10783.41 4471.10 12687.05 6387.77 12190.17 7895.62 4791.82 125
LS3D85.96 7884.37 9387.81 6894.13 5093.27 8190.26 7089.00 3484.91 6672.84 10871.74 10572.47 12187.45 5889.53 10289.09 10793.20 14689.60 147
CS-MVS-test89.10 5390.19 4587.83 6789.93 9894.65 6290.14 7180.14 11785.28 6180.10 7182.83 4685.02 5590.26 3294.48 2592.98 4296.39 1496.05 43
CANet_DTU85.43 8187.72 6982.76 11490.95 8293.01 8689.99 7275.46 16582.67 7364.91 14583.14 4580.09 7780.68 10092.03 6191.03 5994.57 10092.08 120
casdiffmvs87.45 6987.15 7187.79 7090.15 9594.22 6789.96 7383.93 6985.08 6480.91 6575.81 8477.88 9386.08 6991.86 6290.86 6395.74 4194.37 72
Effi-MVS+85.33 8285.08 8885.63 8189.69 10093.42 7989.90 7480.31 11479.32 10572.48 11073.52 9974.03 11086.55 6890.99 7889.98 8394.83 8394.27 78
FMVSNet384.44 9284.64 9184.21 9684.32 15990.13 12189.85 7580.37 11081.17 8775.50 9069.63 11579.69 8279.62 12189.72 9890.52 7395.59 5091.58 133
GBi-Net84.51 9084.80 8984.17 9784.20 16089.95 12389.70 7680.37 11081.17 8775.50 9069.63 11579.69 8279.75 11890.73 8490.72 6595.52 5491.71 127
test184.51 9084.80 8984.17 9784.20 16089.95 12389.70 7680.37 11081.17 8775.50 9069.63 11579.69 8279.75 11890.73 8490.72 6595.52 5491.71 127
FMVSNet283.87 9583.73 9784.05 10184.20 16089.95 12389.70 7680.21 11679.17 10874.89 9465.91 13677.49 9479.75 11890.87 8191.00 6195.52 5491.71 127
diffmvs86.52 7386.76 7686.23 7788.31 11392.63 9389.58 7981.61 10186.14 5680.26 7079.00 6877.27 9583.58 7888.94 10889.06 10894.05 12094.29 74
CNLPA88.40 5887.00 7290.03 4593.73 5594.28 6689.56 8085.81 5491.87 2987.55 2969.53 11981.49 6989.23 3789.45 10388.59 11594.31 11493.82 84
CHOSEN 1792x268882.16 11180.91 12183.61 10591.14 7792.01 10089.55 8179.15 13279.87 10070.29 11452.51 19672.56 12081.39 9288.87 11088.17 11990.15 18092.37 119
ETV-MVS89.22 5189.76 4988.60 6091.60 7394.61 6389.48 8283.46 8185.20 6381.58 6182.75 4782.59 6588.80 4094.57 2293.28 3896.68 895.31 56
DCV-MVSNet85.88 8086.17 7885.54 8289.10 10689.85 12889.34 8380.70 10783.04 7278.08 8376.19 8279.00 8682.42 8789.67 9990.30 7593.63 13995.12 57
MVSTER86.03 7786.12 7985.93 7988.62 10989.93 12689.33 8479.91 12381.87 8281.35 6281.07 5974.91 10480.66 10192.13 6090.10 7995.68 4392.80 102
MSDG83.87 9581.02 11887.19 7392.17 7189.80 13089.15 8585.72 5580.61 9679.24 7666.66 13468.75 13782.69 8387.95 11987.44 12594.19 11685.92 176
thres20082.77 10681.25 11584.54 8990.38 9093.05 8489.13 8682.67 9074.40 13669.53 12065.69 14063.03 15780.63 10291.15 7389.42 9994.88 8192.04 122
PVSNet_BlendedMVS88.19 6388.00 6388.42 6392.71 6894.82 5989.08 8783.81 7084.91 6686.38 3779.14 6678.11 9082.66 8493.05 4591.10 5795.86 3194.86 64
PVSNet_Blended88.19 6388.00 6388.42 6392.71 6894.82 5989.08 8783.81 7084.91 6686.38 3779.14 6678.11 9082.66 8493.05 4591.10 5795.86 3194.86 64
tfpn200view982.86 10481.46 11184.48 9090.30 9393.09 8389.05 8982.71 8875.14 13069.56 11865.72 13863.13 15480.38 10791.15 7389.51 9794.91 8092.50 116
Anonymous20240521182.75 10489.58 10192.97 8789.04 9084.13 6778.72 11057.18 18376.64 9883.13 8289.55 10189.92 8693.38 14494.28 77
thres100view90082.55 10981.01 12084.34 9290.30 9392.27 9789.04 9082.77 8775.14 13069.56 11865.72 13863.13 15479.62 12189.97 9589.26 10294.73 8991.61 132
thres40082.68 10781.15 11684.47 9190.52 8692.89 8888.95 9282.71 8874.33 13769.22 12365.31 14262.61 16080.63 10290.96 8089.50 9894.79 8492.45 118
Anonymous2023121184.42 9383.02 9986.05 7888.85 10892.70 9188.92 9383.40 8379.99 9978.31 8055.83 18778.92 8783.33 8189.06 10789.76 9293.50 14194.90 62
EIA-MVS87.94 6588.05 6287.81 6891.46 7495.00 5688.67 9482.81 8682.53 7480.81 6780.04 6280.20 7687.48 5792.58 5291.61 5495.63 4694.36 73
FMVSNet181.64 11980.61 12382.84 11382.36 18589.20 14488.67 9479.58 12670.79 16172.63 10958.95 17872.26 12279.34 12490.73 8490.72 6594.47 10691.62 131
baseline184.54 8984.43 9284.67 8890.62 8491.16 10788.63 9683.75 7279.78 10171.16 11175.14 8874.10 10977.84 13591.56 6490.67 6996.04 2388.58 153
thres600view782.53 11081.02 11884.28 9590.61 8593.05 8488.57 9782.67 9074.12 14068.56 12665.09 14562.13 16580.40 10691.15 7389.02 11094.88 8192.59 110
PVSNet_Blended_VisFu87.40 7087.80 6586.92 7492.86 6495.40 4888.56 9883.45 8279.55 10482.26 5974.49 9284.03 5979.24 12692.97 4791.53 5595.15 7296.65 33
GeoE84.62 8883.98 9585.35 8389.34 10292.83 8988.34 9978.95 13379.29 10677.16 8968.10 12874.56 10683.40 8089.31 10589.23 10494.92 7994.57 71
HyFIR lowres test81.62 12179.45 14184.14 9991.00 8093.38 8088.27 10078.19 14176.28 12370.18 11648.78 20073.69 11483.52 7987.05 12887.83 12393.68 13789.15 150
Vis-MVSNetpermissive84.38 9486.68 7781.70 12487.65 12194.89 5788.14 10180.90 10674.48 13568.23 12777.53 7680.72 7369.98 17492.68 5091.90 5095.33 6494.58 70
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Fast-Effi-MVS+83.77 9782.98 10084.69 8687.98 11491.87 10188.10 10277.70 14778.10 11473.04 10569.13 12168.51 13886.66 6590.49 9089.85 8894.67 9392.88 98
DROMVSNet83.77 9782.98 10084.69 8687.98 11491.87 10188.10 10277.70 14778.10 11473.04 10569.13 12168.51 13886.66 6590.49 9089.85 8894.67 9392.88 98
MS-PatchMatch81.79 11781.44 11282.19 12190.35 9189.29 14288.08 10475.36 16677.60 11769.00 12464.37 15178.87 8877.14 14188.03 11885.70 15593.19 14786.24 173
baseline84.89 8686.06 8183.52 10887.25 12589.67 13587.76 10575.68 16484.92 6578.40 7980.10 6180.98 7180.20 11086.69 13787.05 13191.86 16292.99 95
UA-Net86.07 7687.78 6684.06 10092.85 6595.11 5387.73 10684.38 6373.22 14973.18 10379.99 6389.22 3771.47 17093.22 4293.03 4094.76 8790.69 139
FC-MVSNet-train85.18 8385.31 8785.03 8590.67 8391.62 10487.66 10783.61 7379.75 10274.37 9778.69 7071.21 12578.91 12791.23 6789.96 8494.96 7894.69 69
UGNet85.90 7988.23 5983.18 11088.96 10794.10 6987.52 10883.60 7481.66 8477.90 8480.76 6083.19 6266.70 18791.13 7690.71 6894.39 11196.06 42
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
IS_MVSNet86.18 7588.18 6083.85 10391.02 7994.72 6187.48 10982.46 9581.05 9170.28 11576.98 7882.20 6876.65 14293.97 3293.38 3695.18 6994.97 61
CostFormer80.94 12480.21 12881.79 12387.69 11988.58 15487.47 11070.66 18180.02 9877.88 8573.03 10071.40 12478.24 13179.96 19179.63 18788.82 18688.84 151
CDS-MVSNet81.63 12082.09 10781.09 13387.21 12690.28 11787.46 11180.33 11369.06 17070.66 11271.30 10673.87 11167.99 18089.58 10089.87 8792.87 15190.69 139
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
gg-mvs-nofinetune75.64 18277.26 16173.76 18787.92 11692.20 9887.32 11264.67 20551.92 21135.35 21546.44 20377.05 9771.97 16792.64 5191.02 6095.34 6389.53 148
EPNet_dtu81.98 11383.82 9679.83 14694.10 5185.97 17187.29 11384.08 6880.61 9659.96 17881.62 5777.19 9662.91 19487.21 12586.38 14490.66 17687.77 164
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v1079.62 13678.19 15181.28 13183.73 16689.69 13487.27 11476.86 15570.50 16465.46 13960.58 16860.47 17080.44 10586.91 12986.63 13993.93 12492.55 113
EPP-MVSNet86.55 7287.76 6785.15 8490.52 8694.41 6487.24 11582.32 9681.79 8373.60 10178.57 7182.41 6682.07 9091.23 6790.39 7495.14 7395.48 53
thisisatest053085.15 8485.86 8284.33 9389.19 10592.57 9687.22 11680.11 11982.15 8074.41 9678.15 7373.80 11379.90 11490.99 7889.58 9595.13 7493.75 86
v2v48279.84 13378.07 15381.90 12283.75 16590.21 12087.17 11779.85 12470.65 16265.93 13761.93 15860.07 17280.82 9785.25 15786.71 13693.88 12891.70 130
v879.90 13278.39 14981.66 12583.97 16489.81 12987.16 11877.40 15071.49 15567.71 12861.24 16162.49 16179.83 11785.48 15586.17 14793.89 12792.02 124
v114479.38 14277.83 15681.18 13283.62 16790.23 11887.15 11978.35 14069.13 16964.02 15060.20 17059.41 17980.14 11286.78 13386.57 14093.81 13292.53 115
tttt051785.11 8585.81 8384.30 9489.24 10392.68 9287.12 12080.11 11981.98 8174.31 9878.08 7473.57 11579.90 11491.01 7789.58 9595.11 7693.77 85
TDRefinement79.05 14577.05 16481.39 12888.45 11189.00 14986.92 12182.65 9274.21 13964.41 14659.17 17559.16 18174.52 15685.23 15885.09 16091.37 16887.51 165
v119278.94 14677.33 16080.82 13583.25 17189.90 12786.91 12277.72 14668.63 17362.61 15959.17 17557.53 18780.62 10486.89 13086.47 14293.79 13392.75 105
Effi-MVS+-dtu82.05 11281.76 10882.38 11887.72 11890.56 11386.90 12378.05 14373.85 14366.85 13271.29 10771.90 12382.00 9186.64 13885.48 15792.76 15292.58 111
IterMVS-LS83.28 10282.95 10283.65 10488.39 11288.63 15386.80 12478.64 13876.56 12173.43 10272.52 10475.35 10180.81 9886.43 14388.51 11793.84 13092.66 107
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
V4279.59 13778.43 14880.94 13482.79 18189.71 13386.66 12576.73 15771.38 15667.42 12961.01 16362.30 16378.39 13085.56 15386.48 14193.65 13892.60 109
USDC80.69 12579.89 13481.62 12686.48 13289.11 14786.53 12678.86 13581.15 9063.48 15372.98 10159.12 18381.16 9487.10 12685.01 16193.23 14584.77 181
v14419278.81 14777.22 16280.67 13782.95 17689.79 13186.40 12777.42 14968.26 17563.13 15559.50 17358.13 18480.08 11385.93 14786.08 14994.06 11992.83 101
v192192078.57 15276.99 16580.41 14282.93 17789.63 13786.38 12877.14 15268.31 17461.80 16758.89 17956.79 19080.19 11186.50 14286.05 15194.02 12192.76 104
ACMH+79.08 1381.84 11680.06 13183.91 10289.92 9990.62 11186.21 12983.48 8073.88 14265.75 13866.38 13565.30 14884.63 7585.90 14887.25 12893.45 14291.13 137
COLMAP_ROBcopyleft76.78 1580.50 12778.49 14682.85 11290.96 8189.65 13686.20 13083.40 8377.15 11966.54 13362.27 15665.62 14777.89 13485.23 15884.70 16592.11 15884.83 180
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
UniMVSNet_ETH3D79.24 14376.47 16982.48 11785.66 14190.97 10886.08 13181.63 10064.48 19068.94 12554.47 19057.65 18678.83 12885.20 16188.91 11293.72 13593.60 88
Fast-Effi-MVS+-dtu79.95 13180.69 12279.08 14986.36 13389.14 14685.85 13272.28 17572.85 15259.32 18170.43 11368.42 14077.57 13686.14 14586.44 14393.11 14891.39 135
tpm cat177.78 15875.28 18480.70 13687.14 12785.84 17385.81 13370.40 18277.44 11878.80 7863.72 15264.01 15376.55 14375.60 20375.21 20185.51 20385.12 178
UniMVSNet_NR-MVSNet81.87 11481.33 11482.50 11685.31 14691.30 10585.70 13484.25 6475.89 12564.21 14766.95 13364.65 15080.22 10887.07 12789.18 10695.27 6894.29 74
DU-MVS81.20 12380.30 12782.25 11984.98 15390.94 10985.70 13483.58 7675.74 12664.21 14765.30 14359.60 17880.22 10886.89 13089.31 10094.77 8694.29 74
NR-MVSNet80.25 12979.98 13380.56 13985.20 14890.94 10985.65 13683.58 7675.74 12661.36 17165.30 14356.75 19172.38 16688.46 11488.80 11395.16 7193.87 82
ACMH78.52 1481.86 11580.45 12683.51 10990.51 8891.22 10685.62 13784.23 6570.29 16662.21 16169.04 12464.05 15284.48 7687.57 12388.45 11894.01 12292.54 114
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
v124078.15 15476.53 16880.04 14382.85 18089.48 14085.61 13876.77 15667.05 17761.18 17458.37 18156.16 19479.89 11686.11 14686.08 14993.92 12592.47 117
TranMVSNet+NR-MVSNet80.52 12679.84 13581.33 13084.92 15590.39 11585.53 13984.22 6674.27 13860.68 17664.93 14759.96 17377.48 13786.75 13589.28 10195.12 7593.29 91
CHOSEN 280x42080.28 12881.66 10978.67 15582.92 17879.24 20585.36 14066.79 19778.11 11370.32 11375.03 9079.87 7881.09 9589.07 10683.16 17585.54 20287.17 166
Baseline_NR-MVSNet79.84 13378.37 15081.55 12784.98 15386.66 16785.06 14183.49 7875.57 12863.31 15458.22 18260.97 16878.00 13386.89 13087.13 12994.47 10693.15 93
pmmvs479.99 13078.08 15282.22 12083.04 17587.16 16584.95 14278.80 13778.64 11174.53 9564.61 14959.41 17979.45 12384.13 17184.54 16892.53 15488.08 159
UniMVSNet (Re)81.22 12281.08 11781.39 12885.35 14591.76 10384.93 14382.88 8576.13 12465.02 14464.94 14663.09 15675.17 15087.71 12289.04 10994.97 7794.88 63
baseline282.80 10582.86 10382.73 11587.68 12090.50 11484.92 14478.93 13478.07 11673.06 10475.08 8969.77 13277.31 13888.90 10986.94 13394.50 10390.74 138
Vis-MVSNet (Re-imp)83.65 9986.81 7579.96 14490.46 8992.71 9084.84 14582.00 9880.93 9362.44 16076.29 8182.32 6765.54 19092.29 5491.66 5294.49 10591.47 134
RPSCF83.46 10083.36 9883.59 10687.75 11787.35 16284.82 14679.46 12883.84 7078.12 8182.69 4979.87 7882.60 8682.47 18281.13 18588.78 18786.13 174
GA-MVS79.52 13879.71 13879.30 14885.68 14090.36 11684.55 14778.44 13970.47 16557.87 18668.52 12661.38 16676.21 14489.40 10487.89 12093.04 14989.96 146
IterMVS78.79 14879.71 13877.71 16185.26 14785.91 17284.54 14869.84 18773.38 14861.25 17270.53 11170.35 12974.43 15785.21 16083.80 17290.95 17488.77 152
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PatchMatch-RL83.34 10181.36 11385.65 8090.33 9289.52 13884.36 14981.82 9980.87 9579.29 7574.04 9462.85 15986.05 7088.40 11587.04 13292.04 15986.77 169
tfpnnormal77.46 16174.86 18680.49 14086.34 13488.92 15084.33 15081.26 10361.39 19861.70 16851.99 19753.66 20374.84 15388.63 11187.38 12794.50 10392.08 120
MDTV_nov1_ep1379.14 14479.49 14078.74 15485.40 14486.89 16684.32 15170.29 18378.85 10969.42 12175.37 8773.29 11875.64 14780.61 18879.48 18987.36 19381.91 190
IterMVS-SCA-FT79.41 14180.20 12978.49 15785.88 13686.26 16983.95 15271.94 17673.55 14761.94 16470.48 11270.50 12875.23 14885.81 15084.61 16791.99 16190.18 145
tpm76.30 17576.05 17576.59 17086.97 12883.01 19083.83 15367.06 19671.83 15463.87 15169.56 11862.88 15873.41 16379.79 19278.59 19184.41 20486.68 170
PatchmatchNetpermissive78.67 15078.85 14478.46 15886.85 13086.03 17083.77 15468.11 19380.88 9466.19 13572.90 10273.40 11778.06 13279.25 19577.71 19587.75 19281.75 191
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v14878.59 15176.84 16780.62 13883.61 16889.16 14583.65 15579.24 13169.38 16869.34 12259.88 17260.41 17175.19 14983.81 17384.63 16692.70 15390.63 141
pm-mvs178.51 15377.75 15879.40 14784.83 15689.30 14183.55 15679.38 12962.64 19463.68 15258.73 18064.68 14970.78 17389.79 9787.84 12194.17 11791.28 136
PMMVS81.65 11884.05 9478.86 15178.56 19982.63 19383.10 15767.22 19581.39 8570.11 11784.91 4279.74 8182.12 8987.31 12485.70 15592.03 16086.67 172
SCA79.51 13980.15 13078.75 15386.58 13187.70 15983.07 15868.53 19081.31 8666.40 13473.83 9575.38 10079.30 12580.49 18979.39 19088.63 18982.96 188
tpmrst76.55 16975.99 17677.20 16487.32 12483.05 18982.86 15965.62 20078.61 11267.22 13169.19 12065.71 14675.87 14676.75 20175.33 20084.31 20583.28 186
dps78.02 15575.94 17780.44 14186.06 13586.62 16882.58 16069.98 18575.14 13077.76 8769.08 12359.93 17478.47 12979.47 19377.96 19487.78 19183.40 185
TransMVSNet (Re)76.57 16875.16 18578.22 16085.60 14287.24 16382.46 16181.23 10459.80 20259.05 18457.07 18459.14 18266.60 18888.09 11786.82 13494.37 11287.95 162
EG-PatchMatch MVS76.40 17375.47 18277.48 16385.86 13890.22 11982.45 16273.96 17159.64 20359.60 18052.75 19562.20 16468.44 17988.23 11687.50 12494.55 10187.78 163
LTVRE_ROB74.41 1675.78 18174.72 18777.02 16785.88 13689.22 14382.44 16377.17 15150.57 21245.45 20665.44 14152.29 20581.25 9385.50 15487.42 12689.94 18292.62 108
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
TinyColmap76.73 16573.95 18979.96 14485.16 15085.64 17682.34 16478.19 14170.63 16362.06 16360.69 16749.61 20880.81 9885.12 16283.69 17391.22 17282.27 189
CR-MVSNet78.71 14978.86 14378.55 15685.85 13985.15 18082.30 16568.23 19174.71 13365.37 14164.39 15069.59 13477.18 13985.10 16384.87 16292.34 15788.21 157
Patchmtry85.54 17882.30 16568.23 19165.37 141
v7n77.22 16276.23 17278.38 15981.89 18889.10 14882.24 16776.36 15865.96 18461.21 17356.56 18555.79 19575.07 15286.55 13986.68 13793.52 14092.95 97
EPMVS77.53 16078.07 15376.90 16886.89 12984.91 18382.18 16866.64 19881.00 9264.11 14972.75 10369.68 13374.42 15879.36 19478.13 19387.14 19580.68 197
CVMVSNet76.70 16678.46 14774.64 18583.34 17084.48 18481.83 16974.58 16768.88 17151.23 19969.77 11470.05 13067.49 18384.27 17083.81 17189.38 18487.96 161
RPMNet77.07 16377.63 15976.42 17185.56 14385.15 18081.37 17065.27 20274.71 13360.29 17763.71 15366.59 14473.64 16082.71 18082.12 18292.38 15688.39 155
FMVSNet575.50 18376.07 17374.83 18276.16 20481.19 19981.34 17170.21 18473.20 15061.59 16958.97 17768.33 14168.50 17885.87 14985.85 15391.18 17379.11 200
pmmvs576.93 16476.33 17177.62 16281.97 18788.40 15681.32 17274.35 16965.42 18861.42 17063.07 15457.95 18573.23 16485.60 15285.35 15993.41 14388.55 154
test-LLR79.47 14079.84 13579.03 15087.47 12282.40 19681.24 17378.05 14373.72 14462.69 15773.76 9674.42 10773.49 16184.61 16782.99 17791.25 17087.01 167
TESTMET0.1,177.78 15879.84 13575.38 17980.86 19482.40 19681.24 17362.72 20873.72 14462.69 15773.76 9674.42 10773.49 16184.61 16782.99 17791.25 17087.01 167
MIMVSNet74.69 18675.60 18173.62 18876.02 20685.31 17981.21 17567.43 19471.02 15859.07 18354.48 18964.07 15166.14 18986.52 14186.64 13891.83 16381.17 194
IB-MVS79.09 1282.60 10882.19 10683.07 11191.08 7893.55 7780.90 17681.35 10276.56 12180.87 6664.81 14869.97 13168.87 17785.64 15190.06 8195.36 6194.74 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
pmmvs674.83 18572.89 19277.09 16582.11 18687.50 16180.88 17776.97 15352.79 21061.91 16646.66 20260.49 16969.28 17686.74 13685.46 15891.39 16790.56 142
TAMVS76.42 17177.16 16375.56 17783.05 17485.55 17780.58 17871.43 17865.40 18961.04 17567.27 13269.22 13667.99 18084.88 16584.78 16489.28 18583.01 187
test-mter77.79 15780.02 13275.18 18081.18 19382.85 19180.52 17962.03 20973.62 14662.16 16273.55 9873.83 11273.81 15984.67 16683.34 17491.37 16888.31 156
PEN-MVS76.02 17776.07 17375.95 17683.17 17387.97 15779.65 18080.07 12266.57 18051.45 19760.94 16455.47 19666.81 18682.72 17986.80 13594.59 9892.03 123
anonymousdsp77.94 15679.00 14276.71 16979.03 19787.83 15879.58 18172.87 17365.80 18558.86 18565.82 13762.48 16275.99 14586.77 13488.66 11493.92 12595.68 50
thisisatest051579.76 13580.59 12478.80 15284.40 15888.91 15179.48 18276.94 15472.29 15367.33 13067.82 13065.99 14570.80 17288.50 11387.84 12193.86 12992.75 105
CP-MVSNet76.36 17476.41 17076.32 17382.73 18288.64 15279.39 18379.62 12567.21 17653.70 19160.72 16655.22 19767.91 18283.52 17586.34 14594.55 10193.19 92
GG-mvs-BLEND57.56 20682.61 10528.34 2140.22 22290.10 12279.37 1840.14 22079.56 1030.40 22371.25 10883.40 610.30 22086.27 14483.87 17089.59 18383.83 183
ADS-MVSNet74.53 18775.69 18073.17 19081.57 19180.71 20179.27 18563.03 20779.27 10759.94 17967.86 12968.32 14271.08 17177.33 19976.83 19784.12 20779.53 198
PS-CasMVS75.90 17975.86 17875.96 17582.59 18388.46 15579.23 18679.56 12766.00 18352.77 19359.48 17454.35 20167.14 18583.37 17686.23 14694.47 10693.10 94
MDTV_nov1_ep13_2view73.21 19172.91 19173.56 18980.01 19584.28 18678.62 18766.43 19968.64 17259.12 18260.39 16959.69 17769.81 17578.82 19777.43 19687.36 19381.11 195
pmmvs-eth3d74.32 18871.96 19477.08 16677.33 20282.71 19278.41 18876.02 16266.65 17965.98 13654.23 19249.02 21073.14 16582.37 18382.69 17991.61 16586.05 175
WR-MVS_H75.84 18076.93 16674.57 18682.86 17989.50 13978.34 18979.36 13066.90 17852.51 19460.20 17059.71 17559.73 19683.61 17485.77 15494.65 9592.84 100
WR-MVS76.63 16778.02 15575.02 18184.14 16389.76 13278.34 18980.64 10869.56 16752.32 19561.26 16061.24 16760.66 19584.45 16987.07 13093.99 12392.77 103
DTE-MVSNet75.14 18475.44 18374.80 18383.18 17287.19 16478.25 19180.11 11966.05 18248.31 20260.88 16554.67 19864.54 19182.57 18186.17 14794.43 10990.53 143
PM-MVS74.17 18973.10 19075.41 17876.07 20582.53 19477.56 19271.69 17771.04 15761.92 16561.23 16247.30 21174.82 15481.78 18579.80 18690.42 17788.05 160
our_test_381.81 18983.96 18776.61 193
test0.0.03 176.03 17678.51 14573.12 19187.47 12285.13 18276.32 19478.05 14373.19 15150.98 20070.64 10969.28 13555.53 19885.33 15684.38 16990.39 17881.63 192
CMPMVSbinary56.49 1773.84 19071.73 19676.31 17485.20 14885.67 17575.80 19573.23 17262.26 19565.40 14053.40 19459.70 17671.77 16980.25 19079.56 18886.45 19981.28 193
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
SixPastTwentyTwo76.02 17775.72 17976.36 17283.38 16987.54 16075.50 19676.22 15965.50 18757.05 18770.64 10953.97 20274.54 15580.96 18782.12 18291.44 16689.35 149
FC-MVSNet-test76.53 17081.62 11070.58 19584.99 15285.73 17474.81 19778.85 13677.00 12039.13 21375.90 8373.50 11654.08 20286.54 14085.99 15291.65 16486.68 170
Anonymous2023120670.80 19470.59 19871.04 19481.60 19082.49 19574.64 19875.87 16364.17 19149.27 20144.85 20653.59 20454.68 20183.07 17782.34 18190.17 17983.65 184
pmnet_mix0271.95 19271.83 19572.10 19281.40 19280.63 20273.78 19972.85 17470.90 15954.89 18962.17 15757.42 18862.92 19376.80 20073.98 20486.74 19880.87 196
testgi71.92 19374.20 18869.27 19784.58 15783.06 18873.40 20074.39 16864.04 19246.17 20568.90 12557.15 18948.89 20684.07 17283.08 17688.18 19079.09 201
EU-MVSNet69.98 19672.30 19367.28 20075.67 20779.39 20473.12 20169.94 18663.59 19342.80 20962.93 15556.71 19255.07 20079.13 19678.55 19287.06 19685.82 177
FPMVS63.63 20360.08 20867.78 19980.01 19571.50 21172.88 20269.41 18961.82 19753.11 19245.12 20542.11 21550.86 20466.69 20863.84 20980.41 20969.46 209
PatchT76.42 17177.81 15774.80 18378.46 20084.30 18571.82 20365.03 20473.89 14165.37 14161.58 15966.70 14377.18 13985.10 16384.87 16290.94 17588.21 157
N_pmnet66.85 19966.63 20067.11 20178.73 19874.66 20970.53 20471.07 17966.46 18146.54 20451.68 19851.91 20655.48 19974.68 20472.38 20580.29 21074.65 206
MDA-MVSNet-bldmvs66.22 20064.49 20368.24 19861.67 21282.11 19870.07 20576.16 16059.14 20447.94 20354.35 19135.82 21867.33 18464.94 21075.68 19986.30 20079.36 199
MIMVSNet165.00 20166.24 20263.55 20458.41 21580.01 20369.00 20674.03 17055.81 20841.88 21036.81 21149.48 20947.89 20781.32 18682.40 18090.08 18177.88 202
test20.0368.31 19870.05 19966.28 20282.41 18480.84 20067.35 20776.11 16158.44 20540.80 21253.77 19354.54 19942.28 20983.07 17781.96 18488.73 18877.76 203
MVS-HIRNet68.83 19766.39 20171.68 19377.58 20175.52 20866.45 20865.05 20362.16 19662.84 15644.76 20756.60 19371.96 16878.04 19875.06 20286.18 20172.56 207
pmmvs361.89 20461.74 20662.06 20564.30 21170.83 21264.22 20952.14 21348.78 21444.47 20741.67 20941.70 21663.03 19276.06 20276.02 19884.18 20677.14 204
new-patchmatchnet63.80 20263.31 20464.37 20376.49 20375.99 20763.73 21070.99 18057.27 20643.08 20845.86 20443.80 21245.13 20873.20 20570.68 20886.80 19776.34 205
ambc61.92 20570.98 21073.54 21063.64 21160.06 20052.23 19638.44 21019.17 22157.12 19782.33 18475.03 20383.21 20884.89 179
new_pmnet59.28 20561.47 20756.73 20761.66 21368.29 21359.57 21254.91 21060.83 19934.38 21644.66 20843.65 21349.90 20571.66 20671.56 20779.94 21169.67 208
gm-plane-assit70.29 19570.65 19769.88 19685.03 15178.50 20658.41 21365.47 20150.39 21340.88 21149.60 19950.11 20775.14 15191.43 6689.78 9094.32 11384.73 182
PMVScopyleft50.48 1855.81 20751.93 20960.33 20672.90 20949.34 21548.78 21469.51 18843.49 21554.25 19036.26 21241.04 21739.71 21165.07 20960.70 21076.85 21267.58 210
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepMVS_CXcopyleft48.31 21748.03 21526.08 21656.42 20725.77 21847.51 20131.31 21951.30 20348.49 21453.61 21661.52 211
test_method41.78 20948.10 21034.42 21210.74 22119.78 22244.64 21617.73 21759.83 20138.67 21435.82 21354.41 20034.94 21262.87 21143.13 21459.81 21560.82 212
Gipumacopyleft49.17 20847.05 21151.65 20859.67 21448.39 21641.98 21763.47 20655.64 20933.33 21714.90 21513.78 22241.34 21069.31 20772.30 20670.11 21355.00 214
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMMVS241.68 21044.74 21238.10 20946.97 21852.32 21440.63 21848.08 21435.51 2167.36 22226.86 21424.64 22016.72 21655.24 21359.03 21168.85 21459.59 213
tmp_tt32.73 21343.96 21921.15 22126.71 2198.99 21865.67 18651.39 19856.01 18642.64 21411.76 21756.60 21250.81 21353.55 217
E-PMN31.40 21126.80 21436.78 21051.39 21729.96 21920.20 22054.17 21125.93 21812.75 22014.73 2168.58 22434.10 21427.36 21637.83 21548.07 21843.18 216
EMVS30.49 21325.44 21536.39 21151.47 21629.89 22020.17 22154.00 21226.49 21712.02 22113.94 2188.84 22334.37 21325.04 21734.37 21646.29 21939.53 217
MVEpermissive30.17 1930.88 21233.52 21327.80 21523.78 22039.16 21818.69 22246.90 21521.88 21915.39 21914.37 2177.31 22524.41 21541.63 21556.22 21237.64 22054.07 215
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
Patchmatch-RL test8.55 223
testmvs1.03 2141.63 2160.34 2160.09 2230.35 2230.61 2240.16 2191.49 2200.10 2243.15 2190.15 2260.86 2191.32 2181.18 2170.20 2213.76 219
test1230.87 2151.40 2170.25 2170.03 2240.25 2240.35 2250.08 2211.21 2210.05 2252.84 2200.03 2270.89 2180.43 2191.16 2180.13 2223.87 218
uanet_test0.00 2160.00 2180.00 2180.00 2250.00 2250.00 2260.00 2220.00 2220.00 2260.00 2210.00 2280.00 2210.00 2200.00 2190.00 2230.00 220
sosnet-low-res0.00 2160.00 2180.00 2180.00 2250.00 2250.00 2260.00 2220.00 2220.00 2260.00 2210.00 2280.00 2210.00 2200.00 2190.00 2230.00 220
sosnet0.00 2160.00 2180.00 2180.00 2250.00 2250.00 2260.00 2220.00 2220.00 2260.00 2210.00 2280.00 2210.00 2200.00 2190.00 2230.00 220
RE-MVS-def56.08 188
9.1492.16 16
SR-MVS96.58 2690.99 2292.40 13
MTAPA92.97 291.03 22
MTMP93.14 190.21 30
mPP-MVS97.06 1288.08 45
NP-MVS87.47 53