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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
CNVR-MVS-fine88.93 189.13 188.33 294.77 173.82 290.51 2293.00 1380.90 388.06 494.06 776.43 296.84 488.48 195.99 194.34 6
SteuartSystems-ACMMP88.72 288.86 288.32 392.14 2072.96 593.73 293.67 480.19 688.10 394.80 173.76 697.11 187.51 295.82 394.90 3
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS80.84 188.10 388.56 386.73 1692.24 1969.03 3289.57 3393.39 877.53 2189.79 194.12 578.98 196.58 785.66 395.72 494.58 4
NCCC88.06 488.01 488.24 494.41 373.62 391.22 1692.83 1481.50 185.79 693.47 1173.02 897.00 384.90 594.94 994.10 11
APD-MVS87.44 587.52 587.19 1194.24 472.39 1191.86 1092.83 1473.01 5188.58 294.52 273.36 796.49 884.26 795.01 892.70 26
HPM-MVS87.11 686.98 687.50 893.88 772.16 1492.19 793.33 976.07 3483.81 1093.95 869.77 1896.01 1485.15 494.66 1094.32 7
CP-MVS87.11 686.92 787.68 794.20 573.86 193.98 192.82 1676.62 2683.68 1194.46 367.93 2395.95 1584.20 894.39 1293.23 21
DeepC-MVS79.81 287.08 886.88 887.69 691.16 2572.32 1390.31 2693.94 277.12 2382.82 1494.23 472.13 1097.09 284.83 695.37 693.65 13
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast79.65 386.91 986.62 987.76 593.52 1072.37 1291.26 1393.04 1176.62 2684.22 993.36 1371.44 1496.76 580.82 1595.33 794.16 9
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PHI-MVS86.43 1086.17 1187.24 1090.88 2870.96 1992.27 694.07 172.45 5385.22 791.90 2169.47 1996.42 983.28 995.94 294.35 5
CSCG86.41 1186.19 1087.07 1392.91 1572.48 1090.81 1993.56 573.95 4583.16 1391.07 3175.94 395.19 2479.94 1894.38 1393.55 16
ACMMPcopyleft85.89 1285.39 1287.38 993.59 972.63 892.74 493.18 1076.78 2580.73 2393.82 964.33 4296.29 1082.67 1090.69 2993.23 21
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
CDPH-MVS85.76 1385.29 1587.17 1293.49 1171.08 1788.58 4692.42 2068.32 8684.61 893.48 1072.32 996.15 1279.00 1995.43 594.28 8
TSAR-MVS85.71 1485.33 1386.84 1491.34 2372.50 989.07 4087.28 8776.41 2885.80 590.22 4474.15 595.37 2381.82 1191.88 2192.65 28
3Dnovator+77.84 485.48 1584.47 1888.51 191.08 2673.49 493.18 393.78 380.79 476.66 6393.37 1260.40 7396.75 677.20 3193.73 1695.29 1
DELS-MVS85.41 1685.30 1485.77 2288.49 6467.93 5185.52 8693.44 678.70 1583.63 1289.03 5974.57 495.71 1780.26 1794.04 1493.66 12
HPM-MVS_fast85.35 1784.95 1686.57 1893.69 870.58 2392.15 891.62 3973.89 4682.67 1694.09 662.60 5195.54 1980.93 1392.93 1793.57 15
MVS_111021_HR85.14 1884.75 1786.32 1991.65 2272.70 785.98 7890.33 5776.11 3382.08 1791.61 2571.36 1594.17 4881.02 1292.58 1992.08 38
CPTT-MVS83.73 1983.33 2084.92 3093.28 1370.86 2192.09 990.38 5468.75 8379.57 2692.83 1560.60 7093.04 6880.92 1491.56 2590.86 58
EPNet83.72 2082.92 2386.14 2184.22 11269.48 3091.05 1885.27 10481.30 276.83 6091.65 2366.09 3395.56 1876.00 3493.85 1593.38 19
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP_MVS83.64 2183.14 2185.14 2690.08 3568.71 4191.25 1492.44 1879.12 978.92 3291.00 3460.42 7195.38 2178.71 2286.32 5691.33 50
Vis-MVSNetpermissive83.46 2282.80 2585.43 2390.25 3368.74 4090.30 2790.13 5876.33 3280.87 2292.89 1461.00 6794.20 4772.45 4490.97 2793.35 20
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MG-MVS83.41 2383.45 1983.28 5592.74 1662.28 10288.17 5489.50 6175.22 3881.49 1892.74 1766.75 2995.11 2672.85 4191.58 2492.45 29
EPP-MVSNet83.40 2483.02 2284.57 3590.13 3464.47 8192.32 590.73 5174.45 4279.35 2891.10 2969.05 2095.12 2572.78 4287.22 4694.13 10
3Dnovator76.31 583.38 2582.31 2786.59 1787.94 7572.94 690.64 2092.14 2877.21 2275.47 7492.83 1558.56 7694.72 3873.24 4092.71 1892.13 37
IS-MVSNet83.15 2682.81 2484.18 4489.94 3763.30 9191.59 1188.46 7879.04 1179.49 2792.16 1865.10 3994.28 4467.71 5991.86 2294.95 2
DP-MVS Recon83.11 2782.09 2986.15 2094.44 270.92 2088.79 4392.20 2570.53 6679.17 2991.03 3364.12 4496.03 1368.39 5790.14 3391.50 49
PAPM_NR83.02 2882.41 2684.82 3292.47 1866.37 6487.93 5791.80 3573.82 4777.32 5290.66 3867.90 2494.90 3470.37 4889.48 3793.19 23
MVSFormer82.85 2982.05 3085.24 2587.35 8870.21 2490.50 2390.38 5468.55 8481.32 1989.47 5161.68 5893.46 5778.98 2090.26 3192.05 39
OMC-MVS82.69 3081.97 3284.85 3188.75 5867.42 5587.98 5690.87 5074.92 3979.72 2591.65 2362.19 5793.96 4975.26 3686.42 5593.16 24
PVSNet_Blended_VisFu82.62 3181.83 3384.96 2990.80 2969.76 2988.74 4491.70 3869.39 7778.96 3188.46 6965.47 3694.87 3674.42 3888.57 4090.24 68
MVS_111021_LR82.61 3282.11 2884.11 4588.82 5671.58 1585.15 8786.16 9974.69 4080.47 2491.04 3262.29 5590.55 10380.33 1690.08 3490.20 69
HQP-MVS82.61 3282.02 3184.37 3989.33 4466.98 6089.17 3692.19 2676.41 2877.23 5590.23 4360.17 7495.11 2677.47 2985.99 6091.03 52
CLD-MVS82.31 3481.65 3484.29 4188.47 6567.73 5485.81 8392.35 2375.78 3578.33 4086.58 10164.01 4594.35 4376.05 3387.48 4490.79 59
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LPG-MVS_test82.08 3581.27 3684.50 3789.23 5068.76 3890.22 2891.94 3275.37 3676.64 6591.51 2654.29 9494.91 3278.44 2483.78 6789.83 76
API-MVS81.99 3681.23 3784.26 4290.94 2770.18 2691.10 1789.32 6471.51 6078.66 3588.28 7365.26 3795.10 2964.74 7691.23 2687.51 111
UniMVSNet_NR-MVSNet81.88 3781.54 3582.92 6388.46 6663.46 8687.13 6392.37 2180.19 678.38 3889.14 5571.66 1293.05 6670.05 5076.46 11492.25 32
MAR-MVS81.84 3880.70 4085.27 2491.32 2471.53 1689.82 3190.92 4969.77 7378.50 3786.21 10462.36 5494.52 4265.36 7192.05 2089.77 78
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
PAPR81.66 3980.89 3983.99 4890.27 3264.00 8486.76 7191.77 3768.84 8277.13 5989.50 5067.63 2594.88 3567.55 6088.52 4193.09 25
UniMVSNet (Re)81.60 4081.11 3883.09 5988.38 6964.41 8287.60 5993.02 1278.42 1878.56 3688.16 7469.78 1793.26 6069.58 5476.49 11391.60 46
ACMP74.13 681.51 4180.57 4384.36 4089.42 4268.69 4489.97 3091.50 4274.46 4175.04 8590.41 4053.82 9994.54 4077.56 2882.91 7189.86 75
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
jason81.39 4280.29 4784.70 3486.63 9469.90 2885.95 7986.77 9263.24 12281.07 2189.47 5161.08 6692.15 8378.33 2790.07 3592.05 39
jason: jason.
lupinMVS81.39 4280.27 4884.76 3387.35 8870.21 2485.55 8586.41 9662.85 12681.32 1988.61 6661.68 5892.24 8278.41 2690.26 3191.83 42
CP-MVSNet81.18 4480.70 4082.64 6988.46 6663.34 8887.13 6392.37 2179.01 1277.93 4587.97 7671.66 1292.81 7166.08 6675.65 12391.77 44
WR-MVS_H81.16 4580.66 4282.66 6888.05 7263.32 9087.38 6292.62 1778.53 1677.54 5188.08 7570.13 1693.00 6967.79 5875.81 12191.65 45
DU-MVS81.12 4680.52 4482.90 6487.80 7763.46 8687.02 6591.87 3479.01 1278.38 3889.07 5765.02 4093.05 6670.05 5076.46 11492.20 34
PVSNet_Blended80.98 4780.34 4582.90 6488.85 5465.40 7284.43 9492.00 2967.62 8978.11 4285.05 11266.02 3494.27 4571.52 4589.50 3689.01 85
QAPM80.88 4879.50 5585.03 2788.01 7468.97 3591.59 1192.00 2966.63 9675.15 8392.16 1857.70 7895.45 2063.52 7788.76 3990.66 61
TranMVSNet+NR-MVSNet80.84 4980.31 4682.42 7187.85 7662.33 10187.74 5891.33 4480.55 577.99 4489.86 4565.23 3892.62 7367.05 6475.24 12992.30 30
UGNet80.83 5079.59 5384.54 3688.04 7368.09 5089.42 3488.16 7976.95 2476.22 6889.46 5349.30 11893.94 5168.48 5690.31 3091.60 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
XVG-OURS-SEG-HR80.81 5179.76 5283.96 5085.60 10268.78 3783.54 10390.50 5270.66 6576.71 6291.66 2260.69 6991.26 9076.94 3281.58 8391.83 42
DTE-MVSNet80.80 5280.26 4982.41 7287.68 8162.36 9986.78 6891.09 4680.19 677.82 4789.14 5567.20 2792.61 7467.14 6275.33 12692.25 32
ACMM73.20 880.78 5379.84 5183.58 5189.31 4768.37 4789.99 2991.60 4070.28 6977.25 5389.66 4853.37 10293.53 5674.24 3982.85 7288.85 88
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
114514_t80.68 5479.51 5484.20 4394.09 667.27 5989.64 3291.11 4558.75 14774.08 9090.72 3758.10 7795.04 3169.70 5389.42 3890.30 67
PVSNet_BlendedMVS80.60 5580.02 5082.36 7488.85 5465.40 7286.16 7692.00 2969.34 7878.11 4286.09 10566.02 3494.27 4571.52 4582.06 7887.39 113
AdaColmapbinary80.58 5679.42 5684.06 4793.09 1468.91 3689.36 3588.97 7469.27 7975.70 7389.69 4757.20 8195.77 1663.06 8088.41 4287.50 112
XVG-OURS80.41 5779.23 6083.97 4985.64 10169.02 3383.03 10690.39 5371.09 6277.63 5091.49 2854.62 9391.35 8875.71 3583.47 6991.54 48
PCF-MVS73.52 780.38 5878.84 6485.01 2887.71 8068.99 3483.65 10091.46 4363.00 12477.77 4990.28 4166.10 3295.09 3061.40 9288.22 4390.94 57
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
test_djsdf80.30 5979.32 5983.27 5683.98 11365.37 7490.50 2390.38 5468.55 8476.19 6988.70 6456.44 8393.46 5778.98 2080.14 9490.97 56
NR-MVSNet80.23 6079.38 5782.78 6787.80 7763.34 8886.31 7491.09 4679.01 1272.17 10189.07 5767.20 2792.81 7166.08 6675.65 12392.20 34
IterMVS-LS80.06 6179.38 5782.11 7585.89 9763.20 9386.79 6789.34 6374.19 4375.45 7586.72 9566.62 3092.39 8072.58 4376.86 11190.75 60
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OpenMVScopyleft72.83 1079.77 6278.33 6984.09 4685.17 10469.91 2790.57 2190.97 4866.70 9572.17 10191.91 2054.70 9193.96 4961.81 9090.95 2888.41 97
BH-RMVSNet79.61 6378.44 6883.14 5889.38 4365.93 6784.95 8987.15 8873.56 5078.19 4189.79 4656.67 8293.36 5959.53 10686.74 5290.13 70
WR-MVS79.51 6479.04 6280.90 9087.47 8759.41 11988.85 4293.40 777.81 1973.66 9188.97 6067.25 2692.27 8160.28 10173.71 13791.01 55
ab-mvs79.51 6478.97 6381.14 8888.46 6660.91 10783.84 9889.24 6870.36 6879.03 3088.87 6263.23 4890.21 10565.12 7282.57 7692.28 31
BH-untuned79.47 6678.60 6682.05 7689.19 5265.91 6886.07 7788.52 7772.18 5475.42 7687.69 8061.15 6593.54 5560.38 9986.83 5186.70 126
mvs_anonymous79.42 6779.11 6180.34 9684.45 11157.97 12682.59 10787.62 8467.40 9376.17 7188.56 6868.47 2189.59 11270.65 4786.05 5993.47 18
TAPA-MVS73.13 979.15 6877.94 7282.79 6689.59 4162.99 9788.16 5591.51 4165.77 10277.14 5891.09 3060.91 6893.21 6150.26 14187.05 4992.17 36
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CDS-MVSNet79.07 6977.70 7483.17 5787.60 8268.23 4984.40 9586.20 9867.49 9176.36 6786.54 10261.54 6090.79 10261.86 8987.33 4590.49 63
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSTER79.01 7077.88 7382.38 7383.07 12264.80 7984.08 9788.95 7569.01 8178.69 3487.17 9254.70 9192.43 7974.69 3780.57 9089.89 74
TAMVS78.89 7177.51 7583.03 6187.80 7767.79 5384.72 9285.05 10767.63 8876.75 6187.70 7962.25 5690.82 10158.53 11187.13 4890.49 63
diffmvs78.78 7278.64 6579.22 10784.48 11056.11 14782.12 11387.53 8665.53 10576.66 6388.73 6368.25 2287.97 12168.73 5585.70 6393.59 14
MVS_Test78.49 7378.26 7179.18 11183.29 11856.48 14082.45 10886.59 9466.73 9476.13 7288.46 6966.33 3189.04 11670.30 4984.06 6692.01 41
GBi-Net78.40 7477.40 7681.40 8387.60 8263.01 9488.39 4989.28 6571.63 5775.34 7887.28 8754.80 8891.11 9362.72 8179.57 9590.09 71
test178.40 7477.40 7681.40 8387.60 8263.01 9488.39 4989.28 6571.63 5775.34 7887.28 8754.80 8891.11 9362.72 8179.57 9590.09 71
Vis-MVSNet (Re-imp)78.36 7678.45 6778.07 11988.64 6051.78 15786.70 7279.63 14274.14 4475.11 8490.83 3661.29 6489.75 11158.10 11591.60 2392.69 27
BH-w/o78.21 7777.33 7880.84 9188.81 5765.13 7884.87 9087.85 8169.75 7474.52 8884.74 11461.34 6293.11 6558.24 11485.84 6284.27 139
FMVSNet278.20 7877.21 7981.20 8687.60 8262.89 9887.47 6189.02 7271.63 5775.29 8287.28 8754.80 8891.10 9662.38 8579.38 9889.61 80
Baseline_NR-MVSNet78.15 7978.33 6977.61 12285.79 9856.21 14586.78 6885.76 10273.60 4877.93 4587.57 8365.02 4088.99 11767.14 6275.33 12687.63 108
CNLPA78.08 8076.79 8281.97 7890.40 3171.07 1887.59 6084.55 10866.03 10172.38 10089.64 4957.56 7986.04 13259.61 10483.35 7088.79 89
PLCcopyleft70.83 1178.05 8176.37 8583.08 6091.88 2167.80 5288.19 5389.46 6264.33 11669.87 12088.38 7153.66 10193.58 5458.86 10982.73 7487.86 105
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
HY-MVS69.67 1277.95 8277.15 8080.36 9587.57 8660.21 11283.37 10587.78 8266.11 9975.37 7787.06 9463.27 4690.48 10461.38 9382.43 7790.40 66
FMVSNet377.88 8376.85 8180.97 8986.84 9262.36 9986.52 7388.77 7671.13 6175.34 7886.66 10054.07 9791.10 9662.72 8179.57 9589.45 81
PAPM77.68 8476.40 8481.51 8187.29 9061.85 10483.78 9989.59 6064.74 11171.23 10988.70 6462.59 5293.66 5352.66 13587.03 5089.01 85
FMVSNet177.44 8576.12 8781.40 8386.81 9363.01 9488.39 4989.28 6570.49 6774.39 8987.28 8749.06 12091.11 9360.91 9678.52 10090.09 71
TR-MVS77.44 8576.18 8681.20 8688.24 7063.24 9284.61 9386.40 9767.55 9077.81 4886.48 10354.10 9693.15 6457.75 11682.72 7587.20 116
1112_ss77.40 8776.43 8380.32 9789.11 5360.41 11183.65 10087.72 8362.13 13173.05 9386.72 9562.58 5389.97 10962.11 8780.80 8890.59 62
LS3D76.95 8874.82 9283.37 5390.45 3067.36 5889.15 3986.94 9161.87 13369.52 12290.61 3951.71 11094.53 4146.38 15486.71 5388.21 100
DP-MVS76.78 8974.57 9483.42 5293.29 1269.46 3188.55 4783.70 11463.98 12070.20 11588.89 6154.01 9894.80 3746.66 15181.88 8186.01 130
cascas76.72 9074.64 9382.99 6285.78 10065.88 6982.33 11189.21 6960.85 13772.74 9581.02 13647.28 12293.75 5267.48 6185.02 6489.34 82
Test_1112_low_res76.40 9175.44 9079.27 10589.28 4858.09 12581.69 11587.07 8959.53 14472.48 9986.67 9961.30 6389.33 11460.81 9880.15 9390.41 65
F-COLMAP76.38 9274.33 9782.50 7089.28 4866.95 6288.41 4889.03 7164.05 11866.83 13488.61 6646.78 12492.89 7057.48 11778.55 9987.67 107
LTVRE_ROB69.57 1376.25 9374.54 9681.41 8288.60 6164.38 8379.24 13089.12 7070.76 6469.79 12187.86 7749.09 11993.20 6256.21 12480.16 9286.65 127
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
XVG-ACMP-BASELINE76.11 9474.27 9881.62 8083.20 11964.67 8083.60 10289.75 5969.75 7471.85 10487.09 9332.78 16092.11 8469.99 5280.43 9188.09 102
ACMH+68.96 1476.01 9574.01 9982.03 7788.60 6165.31 7588.86 4187.55 8570.25 7067.75 12987.47 8541.27 14493.19 6358.37 11275.94 11987.60 110
ACMH67.68 1675.89 9673.93 10081.77 7988.71 5966.61 6388.62 4589.01 7369.81 7266.78 13586.70 9841.95 14391.51 8755.64 12578.14 10487.17 117
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IB-MVS68.01 1575.85 9773.36 10583.31 5484.76 10766.03 6583.38 10485.06 10670.21 7169.40 12381.05 13545.76 12994.66 3965.10 7375.49 12589.25 83
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
WTY-MVS75.65 9875.68 8875.57 13486.40 9556.82 13577.92 13682.40 12465.10 11076.18 7087.72 7863.13 4980.90 14960.31 10081.96 7989.00 87
EPNet_dtu75.46 9974.86 9177.23 12582.57 13154.60 15186.89 6683.09 11771.64 5666.25 13785.86 10755.99 8588.04 12054.92 12686.55 5489.05 84
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
XXY-MVS75.41 10075.56 8974.96 13683.59 11557.82 12980.59 12383.87 11366.54 9774.93 8688.31 7263.24 4780.09 15262.16 8676.85 11286.97 122
TransMVSNet (Re)75.39 10174.56 9577.86 12085.50 10357.10 13486.78 6886.09 10172.17 5571.53 10887.34 8663.01 5089.31 11556.84 12161.83 15787.17 117
CostFormer75.24 10273.90 10179.27 10582.65 13058.27 12480.80 11982.73 12161.57 13475.33 8183.13 12055.52 8691.07 9964.98 7578.34 10388.45 95
PT_06_test75.20 10373.77 10379.49 10482.69 12960.19 11382.34 10986.99 9069.71 7672.52 9878.31 14756.27 8490.07 10862.03 8873.11 13888.23 98
PEN-MVS74.79 10473.85 10277.61 12285.79 9856.21 14586.31 7485.76 10273.60 4872.17 10187.57 8361.36 6188.99 11758.98 10853.14 16787.63 108
PatchFormer-LS_test74.50 10573.05 10678.86 11382.95 12559.55 11881.65 11682.30 12667.44 9271.62 10778.15 15052.34 10588.92 11965.05 7475.90 12088.12 101
IterMVS74.29 10672.94 10778.35 11781.53 13963.49 8581.58 11782.49 12268.06 8769.99 11983.69 11751.66 11185.54 13465.85 6871.64 14386.01 130
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OurMVSNet-221017-074.26 10772.42 10879.80 10083.76 11459.59 11685.92 8186.64 9366.39 9866.96 13387.58 8239.46 14891.60 8665.76 6969.27 14788.22 99
EG-PatchMatch MVS74.04 10871.82 11280.71 9384.92 10667.42 5585.86 8288.08 8066.04 10064.22 14583.85 11535.10 15992.56 7757.44 11880.83 8782.16 149
Test473.95 10972.20 10979.21 10882.91 12658.94 12181.25 11882.17 12765.21 10771.05 11182.44 12444.21 13490.17 10663.29 7877.28 10888.53 93
PatchFormer_test73.70 11071.86 11179.21 10882.91 12658.94 12182.34 10982.17 12765.21 10771.05 11178.31 14744.21 13490.17 10663.29 7877.28 10888.53 93
sss73.60 11173.64 10473.51 14382.80 12855.01 15076.12 14081.69 13162.47 13074.68 8785.85 10857.32 8078.11 15660.86 9780.93 8687.39 113
tpmp4_e2373.45 11271.17 11980.31 9883.55 11659.56 11781.88 11482.33 12557.94 15170.51 11481.62 13151.19 11491.63 8553.96 13077.51 10789.75 79
SixPastTwentyTwo73.37 11371.26 11879.70 10185.08 10557.89 12885.57 8483.56 11571.03 6365.66 13985.88 10642.10 14192.57 7659.11 10763.34 15588.65 92
CR-MVSNet73.37 11371.27 11779.67 10281.32 14065.19 7675.92 14180.30 13859.92 14172.73 9681.19 13352.50 10386.69 12759.84 10277.71 10587.11 120
MSDG73.36 11570.99 12080.49 9484.51 10965.80 7080.71 12186.13 10065.70 10365.46 14083.74 11644.60 13290.91 10051.13 13976.89 11084.74 137
tpm273.26 11671.46 11478.63 11483.34 11756.71 13780.65 12280.40 13756.63 15573.55 9282.02 12951.80 10991.24 9156.35 12378.42 10287.95 103
RPSCF73.23 11771.46 11478.54 11582.50 13259.85 11582.18 11282.84 12058.96 14571.15 11089.41 5445.48 13184.77 13658.82 11071.83 14291.02 54
PatchmatchNetpermissive73.12 11871.33 11678.49 11683.18 12060.85 10879.63 12778.57 14564.13 11771.73 10579.81 14451.20 11385.97 13357.40 11976.36 11688.66 91
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
COLMAP_ROBcopyleft66.92 1773.01 11970.41 12580.81 9287.13 9165.63 7188.30 5284.19 11162.96 12563.80 14787.69 8038.04 15392.56 7746.66 15174.91 13084.24 140
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
test_040272.79 12070.44 12479.84 9988.13 7165.99 6685.93 8084.29 11065.57 10467.40 13185.49 10946.92 12392.61 7435.88 16574.38 13380.94 151
tpmrst72.39 12172.13 11073.18 14580.54 14649.91 16379.91 12679.08 14463.11 12371.69 10679.95 14155.32 8782.77 14465.66 7073.89 13686.87 123
PatchMatch-RL72.38 12270.90 12176.80 12888.60 6167.38 5779.53 12876.17 15262.75 12869.36 12482.00 13045.51 13084.89 13553.62 13180.58 8978.12 159
tpm72.37 12371.71 11374.35 13982.19 13452.00 15579.22 13177.29 14964.56 11372.95 9483.68 11851.35 11283.26 14158.33 11375.80 12287.81 106
PVSNet64.34 1872.08 12470.87 12275.69 13386.21 9656.44 14274.37 14980.73 13562.06 13270.17 11682.23 12742.86 13983.31 14054.77 12784.45 6587.32 115
RPMNet71.62 12568.94 13079.67 10281.32 14065.19 7675.92 14178.30 14857.60 15272.73 9676.45 15752.30 10686.69 12748.14 14877.71 10587.11 120
HyFIR71.37 12670.50 12373.97 14280.52 14759.87 11470.92 15582.42 12356.28 15665.84 13876.50 15653.72 10083.21 14361.07 9587.21 4778.84 157
K. test v371.19 12768.51 13279.21 10883.04 12357.78 13084.35 9676.91 15172.90 5262.99 14982.86 12139.27 14991.09 9861.65 9152.66 16888.75 90
tpmvs71.09 12869.29 12876.49 12982.04 13556.04 14878.92 13481.37 13364.05 11867.18 13278.28 14949.74 11689.77 11049.67 14472.37 13983.67 141
Patchmtry70.74 12969.16 12975.49 13580.72 14354.07 15274.94 14880.30 13858.34 14870.01 11781.19 13352.50 10386.54 12953.37 13271.09 14485.87 132
MIMVSNet70.69 13069.30 12774.88 13784.52 10856.35 14375.87 14379.42 14364.59 11267.76 12882.41 12541.10 14581.54 14846.64 15381.34 8486.75 125
tpm cat170.57 13168.31 13477.35 12482.41 13357.95 12778.08 13580.22 14052.04 16168.54 12777.66 15352.00 10887.84 12351.77 13672.07 14186.25 129
OpenMVS_ROBcopyleft64.09 1970.56 13268.19 13577.65 12180.26 14859.41 11985.01 8882.96 11958.76 14665.43 14182.33 12637.63 15591.23 9245.34 15776.03 11882.32 147
USDC70.33 13368.37 13376.21 13180.60 14556.23 14479.19 13286.49 9560.89 13661.29 15085.47 11031.78 16189.47 11353.37 13276.21 11782.94 146
CMPMVSbinary51.72 2170.19 13468.16 13676.28 13073.15 16657.55 13179.47 12983.92 11248.02 16656.48 16084.81 11343.13 13786.42 13162.67 8481.81 8284.89 136
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
FMVSNet569.50 13567.96 13874.15 14082.97 12455.35 14980.01 12582.12 12962.56 12963.02 14881.53 13236.92 15681.92 14648.42 14774.06 13485.17 135
PMMVS69.34 13668.67 13171.35 15275.67 16062.03 10375.17 14473.46 16050.00 16468.68 12679.05 14552.07 10778.13 15561.16 9482.77 7373.90 162
EPMVS69.02 13768.16 13671.59 14879.61 15249.80 16477.40 13766.93 16762.82 12770.01 11779.05 14545.79 12877.86 15756.58 12275.26 12887.13 119
MIMVSNet168.58 13866.78 14073.98 14180.07 14951.82 15680.77 12084.37 10964.40 11559.75 15382.16 12836.47 15783.63 13842.73 15970.33 14586.48 128
PatchT68.46 13967.85 13970.29 15480.70 14443.93 16972.47 15274.88 15660.15 14070.55 11376.57 15549.94 11581.59 14750.58 14074.83 13185.34 134
TDRefinement67.49 14064.34 14476.92 12673.47 16561.07 10684.86 9182.98 11859.77 14258.30 15685.13 11126.06 16387.89 12247.92 14960.59 16081.81 150
UnsupCasMVSNet_eth67.33 14165.99 14171.37 15073.48 16451.47 15975.16 14585.19 10565.20 10960.78 15280.93 13842.35 14077.20 15957.12 12053.69 16685.44 133
TinyColmap67.30 14264.81 14374.76 13881.92 13656.68 13880.29 12481.49 13260.33 13956.27 16183.22 11924.77 16487.66 12445.52 15669.47 14679.95 154
dp66.80 14365.43 14270.90 15379.74 15048.82 16775.12 14774.77 15759.61 14364.08 14677.23 15442.89 13880.72 15048.86 14666.58 15083.16 142
MDA-MVSNet-bldmvs66.68 14463.66 14675.75 13279.28 15460.56 11073.92 15078.35 14764.43 11450.13 16779.87 14344.02 13683.67 13746.10 15556.86 16283.03 144
PM-MVS66.41 14564.14 14573.20 14473.92 16256.45 14178.97 13364.96 17063.88 12164.72 14380.24 14019.84 16883.44 13966.24 6564.52 15379.71 155
JIA-IIPM66.32 14662.82 15076.82 12777.09 15661.72 10565.34 16375.38 15458.04 15064.51 14462.32 16642.05 14286.51 13051.45 13869.22 14882.21 148
PS-CasMVS65.34 14763.02 14772.29 14679.74 15049.05 16664.60 16578.57 14565.26 10665.05 14282.68 12345.86 12683.22 14243.19 15842.23 17184.61 138
YYNet165.03 14862.91 14971.38 14975.85 15956.60 13969.12 15974.66 15957.28 15354.12 16377.87 15245.85 12774.48 16349.95 14261.52 15983.05 143
MDA-MVSNet_test_wron65.03 14862.92 14871.37 15075.93 15856.73 13669.09 16074.73 15857.28 15354.03 16477.89 15145.88 12574.39 16449.89 14361.55 15882.99 145
LF4IMVS64.02 15062.19 15169.50 15670.90 16853.29 15476.13 13977.18 15052.65 16058.59 15480.98 13723.55 16576.52 16053.06 13466.66 14978.68 158
UnsupCasMVSNet_bld63.70 15161.53 15270.21 15573.69 16351.39 16072.82 15181.89 13055.63 15857.81 15771.80 16038.67 15178.61 15449.26 14552.21 16980.63 152
PVSNet_057.27 2061.67 15259.27 15368.85 15779.61 15257.44 13268.01 16173.44 16155.93 15758.54 15570.41 16144.58 13377.55 15847.01 15035.91 17271.55 163
LP61.36 15357.78 15472.09 14775.54 16158.53 12367.16 16275.22 15551.90 16254.13 16269.97 16237.73 15480.45 15132.74 16855.63 16477.29 160
MVS-HIRNet59.14 15457.67 15563.57 16081.65 13843.50 17071.73 15365.06 16939.59 16951.43 16657.73 16838.34 15282.58 14539.53 16173.95 13564.62 167
DSMNet-mixed57.77 15556.90 15760.38 16167.70 17135.61 17569.18 15853.97 17332.30 17557.49 15879.88 14240.39 14768.57 17038.78 16272.37 13976.97 161
testpf56.51 15657.58 15653.30 16771.99 16741.19 17246.89 17269.32 16558.06 14952.87 16569.45 16327.99 16272.73 16659.59 10562.07 15645.98 173
FPMVS53.68 15751.64 15959.81 16265.08 17251.03 16169.48 15769.58 16341.46 16740.67 17072.32 15916.46 17170.00 16924.24 17265.42 15158.40 169
N_pmnet52.79 15853.26 15851.40 16978.99 1557.68 18269.52 1563.89 17951.63 16357.01 15974.98 15840.83 14665.96 17137.78 16364.67 15280.56 153
HyFIR lowres test51.79 15950.01 16157.11 16468.82 16949.21 16560.50 16753.26 17434.52 17143.77 16964.94 16520.34 16771.75 16739.87 16064.06 15450.39 170
no-one51.08 16045.79 16366.95 15857.92 17550.49 16259.63 16976.04 15348.04 16531.85 17156.10 17119.12 16980.08 15336.89 16426.52 17470.29 164
new_pmnet50.91 16150.29 16052.78 16868.58 17034.94 17863.71 16656.63 17239.73 16844.95 16865.47 16421.93 16658.48 17334.98 16656.62 16364.92 166
ANet_high50.57 16246.10 16263.99 15948.67 17739.13 17370.99 15480.85 13461.39 13531.18 17357.70 16917.02 17073.65 16531.22 16915.89 17979.18 156
Gipumacopyleft45.18 16341.86 16455.16 16677.03 15751.52 15832.50 17480.52 13632.46 17327.12 17435.02 1759.52 17375.50 16222.31 17360.21 16138.45 175
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 16440.28 16555.82 16540.82 18042.54 17165.12 16463.99 17134.43 17224.48 17557.12 1703.92 17576.17 16117.10 17555.52 16548.75 171
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS240.82 16538.86 16646.69 17153.84 17616.45 18148.61 17149.92 17637.49 17031.67 17260.97 1678.14 17456.42 17428.42 17030.72 17367.19 165
wuykxyi23d39.76 16633.18 16859.51 16346.98 17844.01 16857.70 17067.74 16624.13 17613.98 17934.33 1761.27 17871.33 16834.23 16718.23 17763.18 168
PNet_i23d38.26 16735.42 16746.79 17058.74 17335.48 17659.65 16851.25 17532.45 17423.44 17747.53 1732.04 17758.96 17225.60 17118.09 17845.92 174
MVEpermissive26.22 2330.37 16825.89 16943.81 17244.55 17935.46 17728.87 17539.07 17718.20 17718.58 17840.18 1742.68 17647.37 17517.07 17623.78 17648.60 172
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuyk23d16.82 16915.94 17019.46 17458.74 17331.45 17939.22 1733.74 1806.84 1796.04 1802.70 1771.27 17824.29 17710.54 17714.40 1802.63 177
ab-mvs-re7.23 1709.64 1710.00 1750.00 1820.00 1830.00 1760.00 1810.00 1800.00 18186.72 950.00 1800.00 1780.00 1780.00 1810.00 178
test1286.80 1592.63 1770.70 2291.79 3682.71 1571.67 1196.16 1194.50 1193.54 17
plane_prior790.08 3568.51 46
plane_prior689.84 3968.70 4360.42 71
plane_prior592.44 1895.38 2178.71 2286.32 5691.33 50
plane_prior491.00 34
plane_prior368.60 4578.44 1778.92 32
plane_prior291.25 1479.12 9
plane_prior189.90 38
plane_prior68.71 4190.38 2577.62 2086.16 58
n20.00 181
nn0.00 181
door-mid69.98 162
lessismore_v078.97 11281.01 14257.15 13365.99 16861.16 15182.82 12239.12 15091.34 8959.67 10346.92 17088.43 96
LGP-MVS_train84.50 3789.23 5068.76 3891.94 3275.37 3676.64 6591.51 2654.29 9494.91 3278.44 2483.78 6789.83 76
test1192.23 24
door69.44 164
HQP5-MVS66.98 60
HQP-NCC89.33 4489.17 3676.41 2877.23 55
ACMP_Plane89.33 4489.17 3676.41 2877.23 55
BP-MVS77.47 29
HQP4-MVS77.24 5495.11 2691.03 52
HQP3-MVS92.19 2685.99 60
HQP2-MVS60.17 74
NP-MVS89.62 4068.32 4890.24 42
MDTV_nov1_ep13_2view37.79 17475.16 14555.10 15966.53 13649.34 11753.98 12987.94 104
MDTV_nov1_ep1369.97 12683.18 12053.48 15377.10 13880.18 14160.45 13869.33 12580.44 13948.89 12186.90 12651.60 13778.51 101
ACMMP++_ref81.95 80
ACMMP++81.25 85
Test By Simon64.33 42
ITE_SJBPF78.22 11881.77 13760.57 10983.30 11669.25 8067.54 13087.20 9136.33 15887.28 12554.34 12874.62 13286.80 124
DeepMVS_CXcopyleft27.40 17340.17 18126.90 18024.59 17817.44 17823.95 17648.61 1729.77 17226.48 17618.06 17424.47 17528.83 176