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 bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort by
PHI-MVS86.43 986.17 1087.24 990.88 2470.96 1692.27 694.07 172.45 3585.22 591.90 1969.47 1196.42 883.28 895.94 194.35 5
SteuartSystems-ACMMP88.72 188.86 188.32 292.14 1772.96 493.73 293.67 480.19 488.10 394.80 173.76 497.11 187.51 195.82 294.90 3
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS80.84 188.10 288.56 286.73 1292.24 1669.03 2889.57 2993.39 777.53 789.79 194.12 578.98 196.58 685.66 295.72 394.58 4
DeepC-MVS79.81 287.08 786.88 787.69 591.16 2172.32 1190.31 2293.94 277.12 982.82 1194.23 472.13 797.09 284.83 595.37 493.65 11
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast79.65 386.91 886.62 887.76 493.52 972.37 1091.26 1393.04 1076.62 1284.22 693.36 1171.44 896.76 480.82 1395.33 594.16 7
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
APD-MVS87.44 487.52 487.19 1094.24 372.39 991.86 1092.83 1173.01 3388.58 294.52 273.36 596.49 784.26 695.01 692.70 21
NCCC88.06 388.01 388.24 394.41 273.62 291.22 1492.83 1181.50 185.79 493.47 973.02 697.00 384.90 494.94 794.10 9
HPM-MVS87.11 586.98 587.50 793.88 672.16 1292.19 793.33 876.07 1883.81 793.95 769.77 1096.01 1185.15 394.66 894.32 6
CP-MVS87.11 586.92 687.68 694.20 473.86 193.98 192.82 1376.62 1283.68 894.46 367.93 1395.95 1284.20 794.39 993.23 16
CSCG86.41 1086.19 987.07 1192.91 1372.48 890.81 1793.56 573.95 2983.16 1091.07 2975.94 295.19 1879.94 1694.38 1093.55 13
DELS-MVS85.41 1385.30 1285.77 1888.49 5467.93 4185.52 6793.44 678.70 683.63 989.03 4874.57 395.71 1480.26 1594.04 1193.66 10
EPNet83.72 1782.92 1986.14 1784.22 8869.48 2691.05 1685.27 8181.30 276.83 4591.65 2166.09 1995.56 1576.00 2893.85 1293.38 14
3Dnovator+77.84 485.48 1284.47 1588.51 191.08 2273.49 393.18 393.78 380.79 376.66 4893.37 1060.40 5296.75 577.20 2593.73 1395.29 1
HPM-MVS_fast85.35 1484.95 1386.57 1493.69 770.58 1992.15 891.62 2673.89 3082.67 1294.09 662.60 3395.54 1680.93 1192.93 1493.57 12
3Dnovator76.31 583.38 2182.31 2386.59 1387.94 6172.94 590.64 1892.14 1777.21 875.47 5692.83 1358.56 5494.72 3173.24 3492.71 1592.13 26
MVS_111021_HR85.14 1584.75 1486.32 1591.65 1972.70 685.98 5990.33 4176.11 1782.08 1391.61 2371.36 994.17 4181.02 1092.58 1692.08 27
MAR-MVS81.84 3280.70 3385.27 2091.32 2071.53 1489.82 2790.92 3369.77 5478.50 3086.21 8362.36 3694.52 3565.36 5292.05 1789.77 59
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
IS-MVSNet83.15 2282.81 2084.18 3889.94 3163.30 7491.59 1188.46 6279.04 579.49 2392.16 1665.10 2494.28 3767.71 4691.86 1894.95 2
Vis-MVSNet (Re-imp)78.36 5978.45 5178.07 10188.64 5051.78 12686.70 5579.63 11874.14 2875.11 6690.83 3261.29 4589.75 9458.10 9491.60 1992.69 22
MG-MVS83.41 1983.45 1683.28 4992.74 1462.28 8388.17 4689.50 4575.22 2281.49 1492.74 1566.75 1695.11 2072.85 3591.58 2092.45 23
CPTT-MVS83.73 1683.33 1784.92 2593.28 1170.86 1892.09 990.38 3868.75 6479.57 2292.83 1360.60 5193.04 5880.92 1291.56 2190.86 39
API-MVS81.99 3181.23 3184.26 3690.94 2370.18 2291.10 1589.32 4871.51 4178.66 2988.28 5865.26 2395.10 2264.74 5791.23 2287.51 90
Vis-MVSNetpermissive83.46 1882.80 2185.43 1990.25 2968.74 3690.30 2390.13 4276.33 1680.87 1892.89 1261.00 4894.20 4072.45 3890.97 2393.35 15
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
OpenMVScopyleft72.83 1079.77 4978.33 5384.09 4085.17 8269.91 2390.57 1990.97 3266.70 7372.17 8291.91 1854.70 6993.96 4261.81 7190.95 2488.41 78
ACMMPcopyleft85.89 1185.39 1187.38 893.59 872.63 792.74 493.18 976.78 1180.73 1993.82 864.33 2596.29 982.67 990.69 2593.23 16
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
UGNet80.83 3979.59 4184.54 3188.04 5968.09 4089.42 3088.16 6376.95 1076.22 5289.46 4649.30 9593.94 4468.48 4490.31 2691.60 32
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
MVSFormer82.85 2582.05 2685.24 2187.35 6970.21 2090.50 2090.38 3868.55 6581.32 1589.47 4461.68 4093.46 5078.98 1790.26 2792.05 28
lupinMVS81.39 3580.27 3784.76 2887.35 6970.21 2085.55 6686.41 7662.85 9981.32 1588.61 5361.68 4092.24 6678.41 2190.26 2791.83 30
DP-MVS Recon83.11 2382.09 2586.15 1694.44 170.92 1788.79 3692.20 1570.53 4779.17 2591.03 3164.12 2796.03 1068.39 4590.14 2991.50 34
MVS_111021_LR82.61 2882.11 2484.11 3988.82 4671.58 1385.15 6886.16 7974.69 2480.47 2091.04 3062.29 3790.55 8780.33 1490.08 3090.20 50
jason81.39 3580.29 3684.70 2986.63 7569.90 2485.95 6086.77 7363.24 9581.07 1789.47 4461.08 4792.15 6778.33 2290.07 3192.05 28
jason: jason.
PVSNet_Blended80.98 3780.34 3582.90 5688.85 4465.40 6184.43 7592.00 1867.62 6978.11 3385.05 9166.02 2094.27 3871.52 3989.50 3289.01 66
PAPM_NR83.02 2482.41 2284.82 2792.47 1566.37 5387.93 4991.80 2373.82 3177.32 3890.66 3467.90 1494.90 2770.37 4189.48 3393.19 18
114514_t80.68 4279.51 4284.20 3794.09 567.27 4989.64 2891.11 3158.75 12074.08 7290.72 3358.10 5595.04 2469.70 4389.42 3490.30 48
QAPM80.88 3879.50 4385.03 2288.01 6068.97 3191.59 1192.00 1866.63 7475.15 6592.16 1657.70 5695.45 1763.52 5888.76 3590.66 42
PVSNet_Blended_VisFu82.62 2781.83 2884.96 2490.80 2569.76 2588.74 3791.70 2569.39 5878.96 2788.46 5565.47 2294.87 2974.42 3288.57 3690.24 49
PAPR81.66 3380.89 3283.99 4290.27 2864.00 7286.76 5491.77 2468.84 6377.13 4489.50 4367.63 1594.88 2867.55 4788.52 3793.09 20
AdaColmapbinary80.58 4479.42 4484.06 4193.09 1268.91 3289.36 3188.97 5869.27 6075.70 5589.69 4057.20 5995.77 1363.06 6188.41 3887.50 91
PCF-MVS73.52 780.38 4678.84 4985.01 2387.71 6368.99 3083.65 8191.46 3063.00 9777.77 3690.28 3766.10 1895.09 2361.40 7388.22 3990.94 38
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CLD-MVS82.31 2981.65 2984.29 3588.47 5567.73 4485.81 6492.35 1475.78 1978.33 3186.58 8064.01 2894.35 3676.05 2787.48 4090.79 40
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CDS-MVSNet79.07 5477.70 5683.17 5187.60 6468.23 3984.40 7686.20 7867.49 7176.36 5186.54 8161.54 4290.79 8661.86 7087.33 4190.49 44
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
EPP-MVSNet83.40 2083.02 1884.57 3090.13 3064.47 7092.32 590.73 3574.45 2679.35 2491.10 2769.05 1295.12 1972.78 3687.22 4294.13 8
HyFIR71.37 10670.50 10373.97 11980.52 12159.87 9470.92 13082.42 10056.28 12765.84 11576.50 12953.72 7883.21 11761.07 7687.21 4378.84 129
TAMVS78.89 5677.51 5783.03 5487.80 6267.79 4384.72 7385.05 8467.63 6876.75 4687.70 6162.25 3890.82 8558.53 9087.13 4490.49 44
TAPA-MVS73.13 979.15 5377.94 5482.79 5789.59 3262.99 8088.16 4791.51 2865.77 8077.14 4391.09 2860.91 4993.21 5350.26 11987.05 4592.17 25
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPM77.68 6676.40 6681.51 6787.29 7161.85 8583.78 8089.59 4464.74 8771.23 8788.70 5162.59 3493.66 4652.66 11387.03 4689.01 66
BH-untuned79.47 5278.60 5082.05 6289.19 4265.91 5786.07 5888.52 6172.18 3675.42 5887.69 6261.15 4693.54 4860.38 8086.83 4786.70 104
BH-RMVSNet79.61 5078.44 5283.14 5289.38 3465.93 5684.95 7087.15 6973.56 3278.19 3289.79 3956.67 6093.36 5259.53 8686.74 4890.13 51
LS3D76.95 7074.82 7483.37 4790.45 2667.36 4889.15 3486.94 7261.87 10669.52 10090.61 3551.71 8894.53 3446.38 12986.71 4988.21 81
EPNet_dtu75.46 8174.86 7377.23 10482.57 10654.60 12086.89 5283.09 9471.64 3766.25 11485.86 8655.99 6388.04 9854.92 10486.55 5089.05 65
OMC-MVS82.69 2681.97 2784.85 2688.75 4867.42 4587.98 4890.87 3474.92 2379.72 2191.65 2162.19 3993.96 4275.26 3086.42 5193.16 19
HQP3-MVS92.19 1685.99 52
BH-w/o78.21 6077.33 6080.84 7688.81 4765.13 6784.87 7187.85 6569.75 5574.52 7084.74 9361.34 4393.11 5758.24 9385.84 5384.27 116
cascas76.72 7274.64 7582.99 5585.78 7965.88 5882.33 9089.21 5360.85 11072.74 7681.02 11447.28 9993.75 4567.48 4885.02 5489.34 63
PVSNet64.34 1872.08 10470.87 10275.69 11086.21 7756.44 11574.37 12580.73 11162.06 10570.17 9482.23 10542.86 11283.31 11554.77 10584.45 5587.32 94
LGP-MVS_train84.50 3289.23 4068.76 3491.94 2175.37 2076.64 4991.51 2454.29 7294.91 2578.44 1983.78 5689.83 57
LPG-MVS_test82.08 3081.27 3084.50 3289.23 4068.76 3490.22 2491.94 2175.37 2076.64 4991.51 2454.29 7294.91 2578.44 1983.78 5689.83 57
XVG-OURS80.41 4579.23 4783.97 4385.64 8069.02 2983.03 8790.39 3771.09 4377.63 3791.49 2654.62 7191.35 7275.71 2983.47 5891.54 33
CNLPA78.08 6276.79 6481.97 6490.40 2771.07 1587.59 5084.55 8566.03 7972.38 8189.64 4257.56 5786.04 10959.61 8483.35 5988.79 70
ACMP74.13 681.51 3480.57 3484.36 3489.42 3368.69 3789.97 2691.50 2974.46 2575.04 6790.41 3653.82 7794.54 3377.56 2382.91 6089.86 56
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM73.20 880.78 4179.84 3983.58 4589.31 3768.37 3889.99 2591.60 2770.28 5077.25 3989.66 4153.37 8093.53 4974.24 3382.85 6188.85 69
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PMMVS69.34 11568.67 11071.35 12575.67 13062.03 8475.17 12073.46 13250.00 13568.68 10479.05 12152.07 8578.13 12961.16 7582.77 6273.90 134
PLCcopyleft70.83 1178.05 6376.37 6783.08 5391.88 1867.80 4288.19 4589.46 4664.33 9169.87 9888.38 5653.66 7993.58 4758.86 8882.73 6387.86 86
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TR-MVS77.44 6776.18 6881.20 7288.24 5763.24 7584.61 7486.40 7767.55 7077.81 3586.48 8254.10 7493.15 5657.75 9582.72 6487.20 95
ab-mvs79.51 5178.97 4881.14 7488.46 5660.91 8883.84 7989.24 5270.36 4979.03 2688.87 5063.23 3190.21 8965.12 5382.57 6592.28 24
HY-MVS69.67 1277.95 6477.15 6280.36 8087.57 6860.21 9283.37 8687.78 6666.11 7775.37 5987.06 7363.27 2990.48 8861.38 7482.43 6690.40 47
PVSNet_BlendedMVS80.60 4380.02 3882.36 6088.85 4465.40 6186.16 5792.00 1869.34 5978.11 3386.09 8466.02 2094.27 3871.52 3982.06 6787.39 92
WTY-MVS75.65 8075.68 7075.57 11186.40 7656.82 11277.92 11282.40 10165.10 8676.18 5487.72 6063.13 3280.90 12360.31 8181.96 6889.00 68
ACMMP++_ref81.95 69
DP-MVS76.78 7174.57 7683.42 4693.29 1069.46 2788.55 3983.70 9163.98 9470.20 9388.89 4954.01 7694.80 3046.66 12681.88 7086.01 108
CMPMVSbinary51.72 2170.19 11368.16 11576.28 10873.15 13557.55 10979.47 10783.92 8948.02 13756.48 13584.81 9243.13 11086.42 10862.67 6581.81 7184.89 114
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
XVG-OURS-SEG-HR80.81 4079.76 4083.96 4485.60 8168.78 3383.54 8490.50 3670.66 4676.71 4791.66 2060.69 5091.26 7476.94 2681.58 7291.83 30
MIMVSNet70.69 10969.30 10774.88 11484.52 8656.35 11675.87 11979.42 11964.59 8867.76 10682.41 10341.10 11881.54 12246.64 12881.34 7386.75 103
ACMMP++81.25 74
sss73.60 9173.64 8473.51 12082.80 10355.01 11976.12 11681.69 10862.47 10374.68 6985.85 8757.32 5878.11 13060.86 7880.93 7587.39 92
EG-PatchMatch MVS74.04 8871.82 9280.71 7884.92 8467.42 4585.86 6388.08 6466.04 7864.22 12083.85 9435.10 13292.56 6257.44 9780.83 7682.16 122
1112_ss77.40 6976.43 6580.32 8189.11 4360.41 9183.65 8187.72 6762.13 10473.05 7486.72 7462.58 3589.97 9362.11 6880.80 7790.59 43
PatchMatch-RL72.38 10270.90 10176.80 10788.60 5167.38 4779.53 10676.17 12662.75 10169.36 10282.00 10845.51 10484.89 11253.62 10980.58 7878.12 131
MVSTER79.01 5577.88 5582.38 5983.07 9764.80 6884.08 7888.95 5969.01 6278.69 2887.17 7154.70 6992.43 6474.69 3180.57 7989.89 55
XVG-ACMP-BASELINE76.11 7674.27 7981.62 6683.20 9464.67 6983.60 8389.75 4369.75 5571.85 8387.09 7232.78 13392.11 6869.99 4280.43 8088.09 83
LTVRE_ROB69.57 1376.25 7574.54 7781.41 6888.60 5164.38 7179.24 10889.12 5470.76 4569.79 9987.86 5949.09 9693.20 5456.21 10280.16 8186.65 105
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
Test_1112_low_res76.40 7375.44 7279.27 8989.28 3858.09 10481.69 9387.07 7059.53 11772.48 8086.67 7861.30 4489.33 9660.81 7980.15 8290.41 46
test_djsdf80.30 4779.32 4683.27 5083.98 8965.37 6390.50 2090.38 3868.55 6576.19 5388.70 5156.44 6193.46 5078.98 1780.14 8390.97 37
GBi-Net78.40 5777.40 5881.40 6987.60 6463.01 7788.39 4189.28 4971.63 3875.34 6087.28 6654.80 6691.11 7762.72 6279.57 8490.09 52
test178.40 5777.40 5881.40 6987.60 6463.01 7788.39 4189.28 4971.63 3875.34 6087.28 6654.80 6691.11 7762.72 6279.57 8490.09 52
FMVSNet377.88 6576.85 6380.97 7586.84 7362.36 8286.52 5688.77 6071.13 4275.34 6086.66 7954.07 7591.10 8062.72 6279.57 8489.45 62
FMVSNet278.20 6177.21 6181.20 7287.60 6462.89 8187.47 5189.02 5671.63 3875.29 6487.28 6654.80 6691.10 8062.38 6679.38 8789.61 61
F-COLMAP76.38 7474.33 7882.50 5889.28 3866.95 5188.41 4089.03 5564.05 9366.83 11188.61 5346.78 10192.89 5957.48 9678.55 8887.67 88
FMVSNet177.44 6776.12 6981.40 6986.81 7463.01 7788.39 4189.28 4970.49 4874.39 7187.28 6649.06 9791.11 7760.91 7778.52 8990.09 52
MDTV_nov1_ep1369.97 10683.18 9553.48 12277.10 11480.18 11760.45 11169.33 10380.44 11748.89 9886.90 10351.60 11578.51 90
tpm273.26 9671.46 9478.63 9683.34 9356.71 11380.65 10080.40 11356.63 12673.55 7382.02 10751.80 8791.24 7556.35 10178.42 9187.95 84
CostFormer75.24 8373.90 8279.27 8982.65 10558.27 10380.80 9782.73 9861.57 10775.33 6383.13 9955.52 6491.07 8364.98 5678.34 9288.45 76
ACMH67.68 1675.89 7873.93 8181.77 6588.71 4966.61 5288.62 3889.01 5769.81 5366.78 11286.70 7741.95 11691.51 7155.64 10378.14 9387.17 96
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CR-MVSNet73.37 9371.27 9779.67 8681.32 11465.19 6575.92 11780.30 11459.92 11472.73 7781.19 11152.50 8186.69 10459.84 8277.71 9487.11 98
RPMNet71.62 10568.94 10979.67 8681.32 11465.19 6575.92 11778.30 12257.60 12572.73 7776.45 13052.30 8486.69 10448.14 12377.71 9487.11 98
tpmp4_e2373.45 9271.17 9980.31 8283.55 9259.56 9781.88 9282.33 10257.94 12470.51 9281.62 10951.19 9291.63 6953.96 10877.51 9689.75 60
Test473.95 8972.20 8979.21 9182.91 10158.94 10081.25 9682.17 10465.21 8371.05 8982.44 10244.21 10890.17 9063.29 5977.28 9788.53 74
PatchFormer_test73.70 9071.86 9179.21 9182.91 10158.94 10082.34 8882.17 10465.21 8371.05 8978.31 12344.21 10890.17 9063.29 5977.28 9788.53 74
MSDG73.36 9570.99 10080.49 7984.51 8765.80 5980.71 9986.13 8065.70 8165.46 11783.74 9544.60 10690.91 8451.13 11776.89 9984.74 115
IterMVS-LS80.06 4879.38 4582.11 6185.89 7863.20 7686.79 5389.34 4774.19 2775.45 5786.72 7466.62 1792.39 6572.58 3776.86 10090.75 41
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
XXY-MVS75.41 8275.56 7174.96 11383.59 9157.82 10780.59 10183.87 9066.54 7574.93 6888.31 5763.24 3080.09 12662.16 6776.85 10186.97 100
PatchmatchNetpermissive73.12 9871.33 9678.49 9883.18 9560.85 8979.63 10578.57 12164.13 9271.73 8479.81 12051.20 9185.97 11057.40 9876.36 10288.66 72
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
USDC70.33 11268.37 11276.21 10980.60 11956.23 11779.19 11086.49 7560.89 10961.29 12585.47 8931.78 13489.47 9553.37 11076.21 10382.94 119
OpenMVS_ROBcopyleft64.09 1970.56 11168.19 11477.65 10280.26 12259.41 9985.01 6982.96 9658.76 11965.43 11882.33 10437.63 12891.23 7645.34 13176.03 10482.32 120
ACMH+68.96 1476.01 7774.01 8082.03 6388.60 5165.31 6488.86 3587.55 6870.25 5167.75 10787.47 6541.27 11793.19 5558.37 9175.94 10587.60 89
PatchFormer-LS_test74.50 8573.05 8678.86 9582.95 10059.55 9881.65 9482.30 10367.44 7271.62 8678.15 12552.34 8388.92 9765.05 5575.90 10688.12 82
tpm72.37 10371.71 9374.35 11682.19 10952.00 12479.22 10977.29 12364.56 8972.95 7583.68 9751.35 9083.26 11658.33 9275.80 10787.81 87
IB-MVS68.01 1575.85 7973.36 8583.31 4884.76 8566.03 5483.38 8585.06 8370.21 5269.40 10181.05 11345.76 10394.66 3265.10 5475.49 10889.25 64
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
EPMVS69.02 11668.16 11571.59 12379.61 12549.80 13377.40 11366.93 13962.82 10070.01 9579.05 12145.79 10277.86 13156.58 10075.26 10987.13 97
COLMAP_ROBcopyleft66.92 1773.01 9970.41 10580.81 7787.13 7265.63 6088.30 4484.19 8862.96 9863.80 12287.69 6238.04 12692.56 6246.66 12674.91 11084.24 117
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PatchT68.46 11867.85 11870.29 12780.70 11843.93 13772.47 12774.88 13060.15 11370.55 9176.57 12849.94 9381.59 12150.58 11874.83 11185.34 112
ITE_SJBPF78.22 10081.77 11160.57 9083.30 9369.25 6167.54 10887.20 7036.33 13187.28 10254.34 10674.62 11286.80 102
test_040272.79 10070.44 10479.84 8388.13 5865.99 5585.93 6184.29 8765.57 8267.40 10985.49 8846.92 10092.61 6035.88 13874.38 11380.94 124
FMVSNet569.50 11467.96 11774.15 11782.97 9955.35 11880.01 10382.12 10662.56 10263.02 12381.53 11036.92 12981.92 12048.42 12274.06 11485.17 113
MVS-HIRNet59.14 12857.67 12963.57 13381.65 11243.50 13871.73 12865.06 14139.59 14051.43 13957.73 14038.34 12582.58 11939.53 13473.95 11564.62 138
tpmrst72.39 10172.13 9073.18 12180.54 12049.91 13279.91 10479.08 12063.11 9671.69 8579.95 11855.32 6582.77 11865.66 5173.89 11686.87 101
PT_06_test75.20 8473.77 8379.49 8882.69 10460.19 9382.34 8886.99 7169.71 5772.52 7978.31 12356.27 6290.07 9262.03 6973.11 11788.23 79
DSMNet-mixed57.77 12956.90 13160.38 13467.70 14035.61 14369.18 13353.97 14432.30 14557.49 13379.88 11940.39 12068.57 14238.78 13572.37 11876.97 133
tpm cat170.57 11068.31 11377.35 10382.41 10857.95 10578.08 11180.22 11652.04 13268.54 10577.66 12652.00 8687.84 10051.77 11472.07 11986.25 107
RPSCF73.23 9771.46 9478.54 9782.50 10759.85 9582.18 9182.84 9758.96 11871.15 8889.41 4745.48 10584.77 11358.82 8971.83 12091.02 36
IterMVS74.29 8672.94 8778.35 9981.53 11363.49 7381.58 9582.49 9968.06 6769.99 9783.69 9651.66 8985.54 11165.85 4971.64 12186.01 108
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Patchmtry70.74 10869.16 10875.49 11280.72 11754.07 12174.94 12480.30 11458.34 12170.01 9581.19 11152.50 8186.54 10653.37 11071.09 12285.87 110
MIMVSNet168.58 11766.78 11973.98 11880.07 12351.82 12580.77 9884.37 8664.40 9059.75 12882.16 10636.47 13083.63 11442.73 13270.33 12386.48 106
TinyColmap67.30 12164.81 12274.76 11581.92 11056.68 11480.29 10281.49 10960.33 11256.27 13683.22 9824.77 13787.66 10145.52 13069.47 12479.95 127
OurMVSNet-221017-074.26 8772.42 8879.80 8483.76 9059.59 9685.92 6286.64 7466.39 7666.96 11087.58 6439.46 12191.60 7065.76 5069.27 12588.22 80
JIA-IIPM66.32 12362.82 12476.82 10677.09 12861.72 8665.34 13675.38 12858.04 12364.51 11962.32 13942.05 11586.51 10751.45 11669.22 12682.21 121
LF4IMVS64.02 12462.19 12569.50 12970.90 13753.29 12376.13 11577.18 12452.65 13158.59 12980.98 11523.55 13876.52 13453.06 11266.66 12778.68 130
dp66.80 12265.43 12170.90 12679.74 12448.82 13575.12 12374.77 13159.61 11664.08 12177.23 12742.89 11180.72 12448.86 12166.58 12883.16 118
FPMVS53.68 13151.64 13359.81 13565.08 14151.03 13069.48 13269.58 13541.46 13840.67 14272.32 13216.46 14470.00 14124.24 14465.42 12958.40 140
N_pmnet52.79 13253.26 13251.40 14278.99 1277.68 14969.52 1313.89 14951.63 13457.01 13474.98 13140.83 11965.96 14337.78 13664.67 13080.56 126
HyFIR lowres test51.79 13350.01 13557.11 13768.82 13849.21 13460.50 13953.26 14534.52 14143.77 14164.94 13820.34 14171.75 13939.87 13364.06 13150.39 141
SixPastTwentyTwo73.37 9371.26 9879.70 8585.08 8357.89 10685.57 6583.56 9271.03 4465.66 11685.88 8542.10 11492.57 6159.11 8763.34 13288.65 73
testpf56.51 13057.58 13053.30 14071.99 13641.19 14046.89 14369.32 13758.06 12252.87 13869.45 13627.99 13572.73 13859.59 8562.07 13345.98 144
TDRefinement67.49 11964.34 12376.92 10573.47 13461.07 8784.86 7282.98 9559.77 11558.30 13185.13 9026.06 13687.89 9947.92 12460.59 13481.81 123
Gipumacopyleft45.18 13741.86 13855.16 13977.03 12951.52 12732.50 14580.52 11232.46 14327.12 14535.02 1479.52 14675.50 13622.31 14560.21 13538.45 146
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new_pmnet50.91 13550.29 13452.78 14168.58 13934.94 14663.71 13856.63 14339.73 13944.95 14065.47 13721.93 13958.48 14534.98 13956.62 13664.92 137
LP61.36 12757.78 12872.09 12275.54 13158.53 10267.16 13575.22 12951.90 13354.13 13769.97 13537.73 12780.45 12532.74 14155.63 13777.29 132
PMVScopyleft37.38 2244.16 13840.28 13955.82 13840.82 14842.54 13965.12 13763.99 14234.43 14224.48 14657.12 1423.92 14776.17 13517.10 14755.52 13848.75 142
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
UnsupCasMVSNet_eth67.33 12065.99 12071.37 12473.48 13351.47 12875.16 12185.19 8265.20 8560.78 12780.93 11642.35 11377.20 13357.12 9953.69 13985.44 111
K. test v371.19 10768.51 11179.21 9183.04 9857.78 10884.35 7776.91 12572.90 3462.99 12482.86 10039.27 12291.09 8261.65 7252.66 14088.75 71
UnsupCasMVSNet_bld63.70 12561.53 12670.21 12873.69 13251.39 12972.82 12681.89 10755.63 12957.81 13271.80 13338.67 12478.61 12849.26 12052.21 14180.63 125
lessismore_v078.97 9481.01 11657.15 11165.99 14061.16 12682.82 10139.12 12391.34 7359.67 8346.92 14288.43 77
PVSNet_057.27 2061.67 12659.27 12768.85 13079.61 12557.44 11068.01 13473.44 13355.93 12858.54 13070.41 13444.58 10777.55 13247.01 12535.91 14371.55 135
no-one51.08 13445.79 13766.95 13157.92 14450.49 13159.63 14176.04 12748.04 13631.85 14356.10 14319.12 14280.08 12736.89 13726.52 14470.29 136
DeepMVS_CXcopyleft27.40 14540.17 14926.90 14824.59 14817.44 14823.95 14748.61 1449.77 14526.48 14718.06 14624.47 14528.83 147
MVEpermissive26.22 2330.37 14125.89 14243.81 14444.55 14735.46 14528.87 14639.07 14718.20 14718.58 14940.18 1462.68 14847.37 14617.07 14823.78 14648.60 143
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuykxyi23d39.76 13933.18 14159.51 13646.98 14644.01 13657.70 14267.74 13824.13 14613.98 15034.33 1481.27 15071.33 14034.23 14018.23 14763.18 139
PNet_i23d38.26 14035.42 14046.79 14358.74 14235.48 14459.65 14051.25 14632.45 14423.44 14847.53 1452.04 14958.96 14425.60 14318.09 14845.92 145
ANet_high50.57 13646.10 13663.99 13248.67 14539.13 14170.99 12980.85 11061.39 10831.18 14457.70 14117.02 14373.65 13731.22 14215.89 14979.18 128
wuyk23d16.82 14215.94 14319.46 14658.74 14231.45 14739.22 1443.74 1506.84 1496.04 1512.70 1491.27 15024.29 14810.54 14914.40 1502.63 148
ab-mvs-re7.23 1439.64 1440.00 1470.00 1500.00 1500.00 1470.00 1510.00 1500.00 15286.72 740.00 1520.00 1490.00 1500.00 1510.00 149
Test By Simon64.33 25
HQP-MVS21.25 140
MDTV_nov1_ep13_2view37.79 14275.16 12155.10 13066.53 11349.34 9453.98 10787.94 85
NP-MVS90.24 38
HQP2-MVS60.17 53
HQP4-MVS77.24 4095.11 2091.03 35
BP-MVS77.47 24
ACMP_Plane89.33 3589.17 3276.41 1477.23 41
HQP-NCC89.33 3589.17 3276.41 1477.23 41
HQP5-MVS66.98 50
door69.44 136
door-mid69.98 134