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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort by
CP-MVS87.11 1686.92 1687.68 1994.20 1773.86 393.98 192.82 3376.62 5183.68 4194.46 767.93 5095.95 2784.20 2194.39 3193.23 47
APDe-MVS89.15 189.63 187.73 1594.49 871.69 3393.83 293.96 275.70 6491.06 196.03 176.84 297.03 389.09 195.65 1194.47 9
SteuartSystems-ACMMP88.72 488.86 488.32 492.14 4472.96 1593.73 393.67 680.19 1288.10 594.80 273.76 1797.11 187.51 495.82 694.90 3
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+77.84 485.48 3584.47 4288.51 291.08 5573.49 1193.18 493.78 580.79 976.66 12593.37 2760.40 14696.75 877.20 6493.73 3895.29 1
HFP-MVS87.58 987.47 1087.94 1094.58 573.54 993.04 593.24 1376.78 4684.91 2194.44 870.78 3396.61 1284.53 1694.89 2293.66 30
ACMMPR87.44 1087.23 1288.08 794.64 373.59 693.04 593.20 1576.78 4684.66 2794.52 368.81 4896.65 1084.53 1694.90 2194.00 23
region2R87.42 1287.20 1388.09 694.63 473.55 793.03 793.12 1876.73 4984.45 3094.52 369.09 4696.70 984.37 1994.83 2494.03 20
XVS87.18 1586.91 1788.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4294.17 1567.45 5496.60 1483.06 2894.50 2894.07 18
X-MVStestdata80.37 9877.83 13188.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4212.47 29467.45 5496.60 1483.06 2894.50 2894.07 18
mPP-MVS86.67 2286.32 2387.72 1794.41 1273.55 792.74 1092.22 4576.87 4482.81 5294.25 1366.44 6196.24 2282.88 3294.28 3493.38 43
ACMMPcopyleft85.89 3185.39 3387.38 2193.59 2172.63 2192.74 1093.18 1776.78 4680.73 6693.82 2164.33 7696.29 2082.67 3490.69 5893.23 47
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
MP-MVScopyleft87.71 887.64 887.93 1294.36 1473.88 292.71 1292.65 3677.57 3083.84 3994.40 1172.24 2796.28 2185.65 795.30 1793.62 37
HPM-MVS++89.02 289.15 288.63 195.01 176.03 192.38 1392.85 3080.26 1187.78 894.27 1275.89 696.81 687.45 596.44 193.05 53
#test#87.33 1487.13 1487.94 1094.58 573.54 992.34 1493.24 1375.23 7184.91 2194.44 870.78 3396.61 1283.75 2394.89 2293.66 30
EPP-MVSNet83.40 5183.02 5084.57 6490.13 6764.47 15192.32 1590.73 8874.45 7879.35 7491.10 6369.05 4795.12 4772.78 10387.22 9494.13 16
PHI-MVS86.43 2486.17 2687.24 2290.88 5970.96 3992.27 1694.07 172.45 11385.22 1891.90 4969.47 4396.42 1883.28 2695.94 394.35 11
HPM-MVS87.11 1686.98 1587.50 2093.88 1972.16 3092.19 1793.33 1276.07 6183.81 4093.95 2069.77 4296.01 2685.15 894.66 2694.32 13
HPM-MVS_fast85.35 3984.95 4086.57 3593.69 2070.58 4692.15 1891.62 6773.89 8582.67 5494.09 1762.60 10795.54 3380.93 4092.93 4093.57 38
CPTT-MVS83.73 4683.33 4784.92 5993.28 2670.86 4292.09 1990.38 9968.75 16279.57 7192.83 3960.60 14293.04 13280.92 4191.56 5190.86 103
APD-MVS_3200maxsize85.97 2985.88 2886.22 4092.69 3769.53 5891.93 2092.99 2473.54 9185.94 1394.51 665.80 6895.61 3083.04 3092.51 4593.53 41
APD-MVScopyleft87.44 1087.52 987.19 2394.24 1572.39 2791.86 2192.83 3173.01 10288.58 494.52 373.36 1896.49 1784.26 2095.01 1992.70 60
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
SD-MVS88.06 688.50 686.71 3192.60 4172.71 1991.81 2293.19 1677.87 2790.32 294.00 1974.83 893.78 9887.63 394.27 3593.65 35
QAPM80.88 8279.50 9485.03 5488.01 12068.97 6891.59 2392.00 5166.63 18175.15 14992.16 4457.70 15795.45 3663.52 16988.76 7890.66 112
IS-MVSNet83.15 5382.81 5284.18 7689.94 7063.30 17291.59 2388.46 16179.04 2079.49 7292.16 4465.10 7294.28 7267.71 14191.86 4894.95 2
DeepC-MVS_fast79.65 386.91 1986.62 2087.76 1493.52 2272.37 2891.26 2593.04 1976.62 5184.22 3593.36 2871.44 3196.76 780.82 4295.33 1594.16 15
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
HQP_MVS83.64 4883.14 4885.14 5290.08 6868.71 7591.25 2692.44 3879.12 1878.92 7891.00 6960.42 14495.38 4078.71 5386.32 10391.33 92
plane_prior291.25 2679.12 18
NCCC88.06 688.01 788.24 594.41 1273.62 591.22 2892.83 3181.50 585.79 1593.47 2673.02 2197.00 484.90 1194.94 2094.10 17
API-MVS81.99 6881.23 7084.26 7490.94 5770.18 5091.10 2989.32 13371.51 12778.66 8288.28 12465.26 7095.10 5164.74 16691.23 5487.51 198
EPNet83.72 4782.92 5186.14 4284.22 17369.48 5991.05 3085.27 19381.30 676.83 12291.65 5266.09 6495.56 3276.00 7493.85 3793.38 43
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CSCG86.41 2586.19 2587.07 2692.91 3372.48 2590.81 3193.56 773.95 8483.16 4791.07 6575.94 595.19 4579.94 4994.38 3293.55 39
MSLP-MVS85.43 3785.76 3184.45 6891.93 4770.24 4790.71 3292.86 2977.46 3584.22 3592.81 4267.16 5792.94 13480.36 4594.35 3390.16 132
3Dnovator76.31 583.38 5282.31 5886.59 3487.94 12172.94 1790.64 3392.14 4977.21 3675.47 13792.83 3958.56 15294.72 6573.24 10092.71 4392.13 77
OpenMVScopyleft72.83 1079.77 11178.33 12384.09 7885.17 15969.91 5190.57 3490.97 8466.70 17772.17 17491.91 4854.70 17693.96 8461.81 18490.95 5688.41 185
CNVR-MVS88.93 389.13 388.33 394.77 273.82 490.51 3593.00 2280.90 888.06 694.06 1876.43 396.84 588.48 295.99 294.34 12
MVSFormer82.85 5882.05 6185.24 5187.35 13570.21 4890.50 3690.38 9968.55 16481.32 6089.47 9661.68 12293.46 11378.98 5190.26 6292.05 79
test_djsdf80.30 9979.32 9883.27 9783.98 18865.37 12590.50 3690.38 9968.55 16476.19 13188.70 11156.44 16593.46 11378.98 5180.14 15790.97 100
nrg03083.88 4483.53 4484.96 5686.77 14569.28 6390.46 3892.67 3474.79 7582.95 4891.33 6172.70 2393.09 12980.79 4379.28 16292.50 66
canonicalmvs85.91 3085.87 2986.04 4389.84 7269.44 6290.45 3993.00 2276.70 5088.01 791.23 6273.28 1993.91 8981.50 3888.80 7794.77 4
plane_prior68.71 7590.38 4077.62 2986.16 105
DeepC-MVS79.81 287.08 1886.88 1887.69 1891.16 5472.32 2990.31 4193.94 377.12 3882.82 5194.23 1472.13 2897.09 284.83 1495.37 1493.65 35
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
Vis-MVSNetpermissive83.46 4982.80 5385.43 4890.25 6668.74 7490.30 4290.13 11376.33 5880.87 6592.89 3761.00 13694.20 7672.45 10990.97 5593.35 45
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PGM-MVS86.68 2186.27 2487.90 1394.22 1673.38 1290.22 4393.04 1975.53 6683.86 3894.42 1067.87 5296.64 1182.70 3394.57 2793.66 30
LPG-MVS_test82.08 6581.27 6984.50 6689.23 8868.76 7290.22 4391.94 5575.37 6976.64 12691.51 5754.29 17994.91 5778.44 5583.78 12189.83 147
ACMM73.20 880.78 8779.84 8683.58 8989.31 8568.37 8189.99 4591.60 6870.28 13977.25 11589.66 9053.37 18693.53 11174.24 9282.85 12888.85 165
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMP74.13 681.51 7780.57 7784.36 7089.42 7868.69 7889.97 4691.50 7374.46 7775.04 15290.41 7753.82 18494.54 6777.56 6082.91 12789.86 146
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
LFMVS81.82 7181.23 7083.57 9091.89 4863.43 17089.84 4781.85 22477.04 4183.21 4593.10 3252.26 19293.43 11771.98 11589.95 6793.85 28
MCST-MVS87.37 1387.25 1187.73 1594.53 772.46 2689.82 4893.82 473.07 10184.86 2692.89 3776.22 496.33 1984.89 1395.13 1894.40 10
MAR-MVS81.84 7080.70 7585.27 5091.32 5371.53 3589.82 4890.92 8569.77 14578.50 8486.21 17162.36 11594.52 6965.36 16092.05 4689.77 150
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
UA-Net85.08 4284.96 3985.45 4792.07 4568.07 8789.78 5090.86 8782.48 284.60 2993.20 3069.35 4495.22 4471.39 12190.88 5793.07 52
alignmvs85.48 3585.32 3585.96 4489.51 7669.47 6089.74 5192.47 3776.17 5987.73 991.46 6070.32 3693.78 9881.51 3788.95 7494.63 5
VDDNet81.52 7580.67 7684.05 8090.44 6364.13 15789.73 5285.91 18971.11 12983.18 4693.48 2450.54 20293.49 11273.40 9988.25 8794.54 8
114514_t80.68 8879.51 9384.20 7594.09 1867.27 9889.64 5391.11 8258.75 24274.08 15890.72 7358.10 15595.04 5369.70 13089.42 7190.30 129
DeepPCF-MVS80.84 188.10 588.56 586.73 3092.24 4369.03 6489.57 5493.39 1177.53 3389.79 394.12 1678.98 196.58 1685.66 695.72 794.58 6
UGNet80.83 8579.59 8984.54 6588.04 11868.09 8689.42 5588.16 16276.95 4276.22 13089.46 9849.30 20793.94 8668.48 13890.31 6191.60 85
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
AdaColmapbinary80.58 9179.42 9584.06 7993.09 3168.91 6989.36 5688.97 14969.27 15475.70 13689.69 8957.20 16195.77 2863.06 17288.41 8687.50 199
PS-MVSNAJss82.07 6681.31 6884.34 7286.51 14767.27 9889.27 5791.51 7171.75 12179.37 7390.22 8163.15 8994.27 7377.69 5982.36 13591.49 90
jajsoiax79.29 12277.96 12883.27 9784.68 16666.57 10589.25 5890.16 11269.20 15675.46 13889.49 9445.75 22493.13 12776.84 6980.80 14790.11 135
mvs_tets79.13 12577.77 13483.22 9984.70 16566.37 10789.17 5990.19 11169.38 15275.40 14189.46 9844.17 23093.15 12576.78 7080.70 14990.14 133
HQP-NCC89.33 8089.17 5976.41 5377.23 117
ACMP_Plane89.33 8089.17 5976.41 5377.23 117
HQP-MVS82.61 6182.02 6284.37 6989.33 8066.98 10189.17 5992.19 4776.41 5377.23 11790.23 8060.17 14795.11 4877.47 6185.99 10791.03 97
LS3D76.95 16874.82 17483.37 9490.45 6267.36 9789.15 6386.94 17661.87 22269.52 20490.61 7551.71 19794.53 6846.38 25686.71 10088.21 187
TSAR-MVS85.71 3385.33 3486.84 2891.34 5272.50 2489.07 6487.28 17376.41 5385.80 1490.22 8174.15 1695.37 4281.82 3691.88 4792.65 63
test_prior472.60 2289.01 65
VDD-MVS83.01 5782.36 5784.96 5691.02 5666.40 10688.91 6688.11 16377.57 3084.39 3393.29 2952.19 19393.91 8977.05 6688.70 7994.57 7
ACMH+68.96 1476.01 17874.01 18282.03 13988.60 10365.31 12788.86 6787.55 17270.25 14067.75 22387.47 13641.27 24393.19 12358.37 20775.94 19987.60 196
test_prior386.73 2086.86 1986.33 3792.61 3969.59 5688.85 6892.97 2775.41 6784.91 2193.54 2274.28 1495.48 3483.31 2495.86 493.91 25
test_prior288.85 6875.41 6784.91 2193.54 2274.28 1483.31 2495.86 4
DP-MVS Recon83.11 5582.09 6086.15 4194.44 970.92 4188.79 7092.20 4670.53 13679.17 7591.03 6864.12 7896.03 2568.39 14090.14 6491.50 89
agg_prior386.16 2885.85 3087.10 2593.31 2472.86 1888.77 7191.68 6668.29 16884.26 3492.83 3972.83 2295.42 3884.97 995.71 893.02 54
TEST993.26 2772.96 1588.75 7291.89 5768.44 16685.00 2093.10 3274.36 1395.41 39
PVSNet_Blended_VisFu82.62 6081.83 6584.96 5690.80 6169.76 5488.74 7391.70 6569.39 15078.96 7788.46 12065.47 6994.87 6174.42 8988.57 8290.24 130
test_893.13 2872.57 2388.68 7491.84 5968.69 16384.87 2593.10 3274.43 1195.16 46
ACMH67.68 1675.89 17973.93 18381.77 14488.71 10166.61 10488.62 7589.01 14469.81 14466.78 23286.70 15541.95 24291.51 16755.64 22278.14 17087.17 206
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
agg_prior186.22 2786.09 2786.62 3392.85 3471.94 3188.59 7691.78 6268.96 16084.41 3193.18 3174.94 794.93 5584.75 1595.33 1593.01 56
CDPH-MVS85.76 3285.29 3787.17 2493.49 2371.08 3788.58 7792.42 4168.32 16784.61 2893.48 2472.32 2696.15 2479.00 5095.43 1394.28 14
DP-MVS76.78 17074.57 17683.42 9193.29 2569.46 6188.55 7883.70 20763.98 20470.20 19288.89 10854.01 18394.80 6346.66 25381.88 13986.01 226
Regformer-186.41 2586.33 2286.64 3289.33 8070.93 4088.43 7991.39 7582.14 386.65 1290.09 8374.39 1295.01 5483.97 2290.63 5993.97 24
Regformer-286.63 2386.53 2186.95 2789.33 8071.24 3688.43 7992.05 5082.50 186.88 1190.09 8374.45 1095.61 3084.38 1890.63 5994.01 22
WR-MVS_H78.51 13378.49 11678.56 19688.02 11956.38 23888.43 7992.67 3477.14 3773.89 15987.55 13366.25 6289.24 20258.92 20273.55 22390.06 141
F-COLMAP76.38 17474.33 18082.50 13189.28 8666.95 10388.41 8289.03 14164.05 20266.83 23188.61 11546.78 21892.89 13557.48 21378.55 16487.67 194
GBi-Net78.40 13477.40 13981.40 15987.60 13063.01 17888.39 8389.28 13471.63 12375.34 14387.28 13954.80 17391.11 17462.72 17379.57 15890.09 137
test178.40 13477.40 13981.40 15987.60 13063.01 17888.39 8389.28 13471.63 12375.34 14387.28 13954.80 17391.11 17462.72 17379.57 15890.09 137
FMVSNet177.44 16376.12 16081.40 15986.81 14463.01 17888.39 8389.28 13470.49 13774.39 15787.28 13949.06 20991.11 17460.91 18978.52 16590.09 137
v7n78.97 12977.58 13783.14 10283.45 20065.51 12088.32 8691.21 7973.69 8772.41 17286.32 17057.93 15693.81 9669.18 13375.65 20290.11 135
COLMAP_ROBcopyleft66.92 1773.01 20170.41 20880.81 16987.13 13965.63 11788.30 8784.19 20362.96 21163.80 24887.69 12938.04 25492.56 14246.66 25374.91 21184.24 240
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
Regformer-385.23 4085.07 3885.70 4688.95 9269.01 6688.29 8889.91 12180.95 785.01 1990.01 8572.45 2594.19 7782.50 3587.57 9093.90 27
Regformer-485.68 3485.45 3286.35 3688.95 9269.67 5588.29 8891.29 7781.73 485.36 1790.01 8572.62 2495.35 4383.28 2687.57 9094.03 20
FIs82.07 6682.42 5481.04 16688.80 9858.34 21488.26 9093.49 876.93 4378.47 8591.04 6669.92 4092.34 14869.87 12984.97 11192.44 68
PLCcopyleft70.83 1178.05 14376.37 15383.08 10591.88 4967.80 9088.19 9189.46 13164.33 20069.87 20288.38 12153.66 18593.58 10958.86 20382.73 13087.86 192
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MG-MVS83.41 5083.45 4583.28 9692.74 3662.28 18888.17 9289.50 12975.22 7281.49 5992.74 4366.75 5895.11 4872.85 10291.58 5092.45 67
TAPA-MVS73.13 979.15 12477.94 12982.79 12589.59 7562.99 18188.16 9391.51 7165.77 18877.14 12091.09 6460.91 13793.21 12050.26 24287.05 9692.17 76
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PS-CasMVS78.01 14478.09 12677.77 20687.71 12854.39 25088.02 9491.22 7877.50 3473.26 16288.64 11460.73 13888.41 21361.88 18273.88 22190.53 122
OMC-MVS82.69 5981.97 6484.85 6088.75 10067.42 9487.98 9590.87 8674.92 7479.72 7091.65 5262.19 11993.96 8475.26 8586.42 10293.16 50
v879.97 10879.02 10882.80 12384.09 18264.50 14987.96 9690.29 10774.13 8375.24 14886.81 14862.88 9493.89 9174.39 9075.40 20790.00 143
FC-MVSNet-test81.52 7582.02 6280.03 17988.42 11055.97 24387.95 9793.42 1077.10 3977.38 11290.98 7169.96 3991.79 15568.46 13984.50 11692.33 70
CP-MVSNet78.22 13778.34 12277.84 20487.83 12454.54 24887.94 9891.17 8177.65 2873.48 16188.49 11962.24 11888.43 21262.19 17974.07 21790.55 121
PAPM_NR83.02 5682.41 5584.82 6192.47 4266.37 10787.93 9991.80 6073.82 8677.32 11490.66 7467.90 5194.90 5970.37 12589.48 7093.19 49
PEN-MVS77.73 15177.69 13677.84 20487.07 14053.91 25287.91 10091.18 8077.56 3273.14 16488.82 11061.23 13289.17 20359.95 19472.37 22890.43 126
v1079.74 11278.67 11182.97 11484.06 18764.95 13587.88 10190.62 9273.11 10075.11 15086.56 16361.46 12694.05 8273.68 9575.55 20489.90 144
TranMVSNet+NR-MVSNet80.84 8380.31 8182.42 13287.85 12362.33 18687.74 10291.33 7680.55 1077.99 10389.86 8765.23 7192.62 13967.05 14975.24 21092.30 71
EI-MVSNet-Vis-set84.19 4383.81 4385.31 4988.18 11467.85 8987.66 10389.73 12580.05 1482.95 4889.59 9270.74 3594.82 6280.66 4484.72 11593.28 46
UniMVSNet (Re)81.60 7481.11 7283.09 10488.38 11164.41 15387.60 10493.02 2178.42 2678.56 8388.16 12569.78 4193.26 11969.58 13176.49 19391.60 85
CNLPA78.08 14276.79 14981.97 14090.40 6471.07 3887.59 10584.55 19966.03 18772.38 17389.64 9157.56 15886.04 22759.61 19783.35 12488.79 167
v1neww80.40 9479.54 9082.98 11184.10 18064.51 14687.57 10690.22 10873.25 9478.47 8586.65 15862.83 9793.86 9275.72 7777.02 18090.58 118
v7new80.40 9479.54 9082.98 11184.10 18064.51 14687.57 10690.22 10873.25 9478.47 8586.65 15862.83 9793.86 9275.72 7777.02 18090.58 118
v680.40 9479.54 9082.98 11184.09 18264.50 14987.57 10690.22 10873.25 9478.47 8586.63 16062.84 9693.86 9275.73 7677.02 18090.58 118
v780.24 10079.26 10383.15 10184.07 18664.94 13687.56 10990.67 8972.26 11678.28 9286.51 16561.45 12794.03 8375.14 8677.41 17490.49 123
v74877.97 14576.65 15081.92 14282.29 22463.28 17387.53 11090.35 10373.50 9270.76 18785.55 18458.28 15492.81 13768.81 13672.76 22789.67 152
DTE-MVSNet76.99 16776.80 14877.54 20986.24 14953.06 25587.52 11190.66 9177.08 4072.50 17088.67 11360.48 14389.52 19857.33 21670.74 23890.05 142
无先验87.48 11288.98 14860.00 23494.12 7967.28 14588.97 164
FMVSNet278.20 13977.21 14281.20 16287.60 13062.89 18287.47 11389.02 14271.63 12375.29 14787.28 13954.80 17391.10 17762.38 17779.38 16189.61 153
EI-MVSNet-UG-set83.81 4583.38 4685.09 5387.87 12267.53 9387.44 11489.66 12679.74 1582.23 5589.41 10270.24 3794.74 6479.95 4883.92 12092.99 57
v1377.50 16076.07 16581.77 14484.23 17265.07 13387.34 11588.91 15672.92 10368.35 22081.97 22262.53 11191.69 16472.20 11466.22 25888.56 180
v1777.68 15376.35 15781.69 14984.15 17764.65 14187.33 11688.99 14672.70 11069.25 21082.07 21862.82 9991.79 15572.69 10667.15 25088.63 172
v1677.69 15276.36 15681.68 15084.15 17764.63 14387.33 11688.99 14672.69 11169.31 20982.08 21762.80 10091.79 15572.70 10567.23 24888.63 172
v1277.51 15876.09 16481.76 14684.22 17364.99 13487.30 11888.93 15572.92 10368.48 21981.97 22262.54 11091.70 16372.24 11366.21 25988.58 179
v1877.67 15576.35 15781.64 15284.09 18264.47 15187.27 11989.01 14472.59 11269.39 20682.04 21962.85 9591.80 15472.72 10467.20 24988.63 172
V977.52 15676.11 16381.73 14784.19 17664.89 13787.26 12088.94 15472.87 10668.65 21581.96 22462.65 10691.72 16072.27 11266.24 25788.60 176
V1477.52 15676.12 16081.70 14884.15 17764.77 13987.21 12188.95 15172.80 10768.79 21281.94 22562.69 10391.72 16072.31 11166.27 25688.60 176
v114180.19 10379.31 9982.85 11983.84 19164.12 15887.14 12290.08 11573.13 9778.27 9386.39 16762.67 10593.75 10275.40 8376.83 18890.68 109
v1577.51 15876.12 16081.66 15184.09 18264.65 14187.14 12288.96 15072.76 10868.90 21181.91 22662.74 10191.73 15872.32 11066.29 25588.61 175
v180.19 10379.31 9982.85 11983.83 19364.12 15887.14 12290.07 11773.13 9778.27 9386.38 16962.72 10293.75 10275.41 8276.82 18990.68 109
divwei89l23v2f11280.19 10379.31 9982.85 11983.84 19164.11 16087.13 12590.08 11573.13 9778.27 9386.39 16762.69 10393.75 10275.40 8376.82 18990.68 109
UniMVSNet_NR-MVSNet81.88 6981.54 6782.92 11588.46 10863.46 16887.13 12592.37 4280.19 1278.38 8989.14 10471.66 3093.05 13070.05 12676.46 19492.25 73
v114480.03 10779.03 10783.01 10983.78 19464.51 14687.11 12790.57 9471.96 12078.08 10286.20 17261.41 12893.94 8674.93 8777.23 17690.60 115
v1177.45 16276.06 16681.59 15584.22 17364.52 14487.11 12789.02 14272.76 10868.76 21381.90 22762.09 12091.71 16271.98 11566.73 25188.56 180
v2v48280.23 10179.29 10283.05 10783.62 19664.14 15687.04 12989.97 11873.61 8878.18 9987.22 14361.10 13493.82 9576.11 7276.78 19191.18 96
DU-MVS81.12 8080.52 7982.90 11687.80 12563.46 16887.02 13091.87 5879.01 2178.38 8989.07 10565.02 7393.05 13070.05 12676.46 19492.20 74
v14419279.47 11878.37 12182.78 12683.35 20163.96 16286.96 13190.36 10269.99 14277.50 11085.67 18160.66 14093.77 10074.27 9176.58 19290.62 113
v119279.59 11478.43 12083.07 10683.55 19864.52 14486.93 13290.58 9370.83 13277.78 10685.90 17559.15 15093.94 8673.96 9477.19 17890.76 105
EPNet_dtu75.46 18374.86 17377.23 21382.57 22154.60 24786.89 13383.09 21271.64 12266.25 23785.86 17755.99 16788.04 21554.92 22386.55 10189.05 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
原ACMM286.86 134
VPA-MVSNet80.60 8980.55 7880.76 17088.07 11760.80 19786.86 13491.58 6975.67 6580.24 6889.45 10063.34 8490.25 19070.51 12479.22 16391.23 95
v192192079.22 12378.03 12782.80 12383.30 20463.94 16386.80 13690.33 10469.91 14377.48 11185.53 18558.44 15393.75 10273.60 9876.85 18690.71 108
IterMVS-LS80.06 10679.38 9682.11 13785.89 15163.20 17686.79 13789.34 13274.19 8075.45 13986.72 15166.62 5992.39 14672.58 10776.86 18590.75 106
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
TransMVSNet (Re)75.39 18574.56 17777.86 20385.50 15757.10 22886.78 13886.09 18872.17 11871.53 18387.34 13863.01 9389.31 20156.84 21861.83 26887.17 206
Baseline_NR-MVSNet78.15 14178.33 12377.61 20885.79 15256.21 24186.78 13885.76 19073.60 8977.93 10487.57 13265.02 7388.99 20567.14 14875.33 20887.63 195
PAPR81.66 7380.89 7483.99 8290.27 6564.00 16186.76 14091.77 6468.84 16177.13 12189.50 9367.63 5394.88 6067.55 14288.52 8493.09 51
Vis-MVSNet (Re-imp)78.36 13678.45 11778.07 20288.64 10251.78 25886.70 14179.63 24074.14 8275.11 15090.83 7261.29 13189.75 19558.10 21091.60 4992.69 62
v124078.99 12877.78 13382.64 13083.21 20563.54 16686.62 14290.30 10669.74 14877.33 11385.68 18057.04 16393.76 10173.13 10176.92 18390.62 113
旧先验286.56 14358.10 24487.04 1088.98 20674.07 93
FMVSNet377.88 14976.85 14780.97 16786.84 14362.36 18586.52 14488.77 15871.13 12875.34 14386.66 15754.07 18291.10 17762.72 17379.57 15889.45 155
v5277.94 14876.37 15382.67 12879.39 25165.52 11886.43 14589.94 11972.28 11472.15 17684.94 19455.70 16993.44 11573.64 9672.84 22689.06 158
V477.95 14676.37 15382.67 12879.40 25065.52 11886.43 14589.94 11972.28 11472.14 17784.95 19355.72 16893.44 11573.64 9672.86 22589.05 159
EI-MVSNet80.52 9279.98 8582.12 13684.28 17063.19 17786.41 14788.95 15174.18 8178.69 8087.54 13466.62 5992.43 14472.57 10880.57 15190.74 107
CVMVSNet72.99 20272.58 19174.25 23484.28 17050.85 26486.41 14783.45 20944.56 27773.23 16387.54 13449.38 20585.70 22965.90 15678.44 16786.19 221
NR-MVSNet80.23 10179.38 9682.78 12687.80 12563.34 17186.31 14991.09 8379.01 2172.17 17489.07 10567.20 5692.81 13766.08 15575.65 20292.20 74
v14878.72 13177.80 13281.47 15782.73 21861.96 19086.30 15088.08 16573.26 9376.18 13285.47 18762.46 11392.36 14771.92 11773.82 22290.09 137
新几何286.29 151
PVSNet_BlendedMVS80.60 8980.02 8482.36 13488.85 9465.40 12286.16 15292.00 5169.34 15378.11 10086.09 17466.02 6694.27 7371.52 11982.06 13687.39 200
DI_MVS_test_dynamic79.89 10978.58 11583.85 8682.89 21565.32 12686.12 15389.55 12869.64 14970.55 18885.82 17957.24 16093.81 9676.85 6888.55 8392.41 69
MVS_Test83.15 5383.06 4983.41 9386.86 14263.21 17586.11 15492.00 5174.31 7982.87 5089.44 10170.03 3893.21 12077.39 6388.50 8593.81 29
BH-untuned79.47 11878.60 11382.05 13889.19 9065.91 11386.07 15588.52 16072.18 11775.42 14087.69 12961.15 13393.54 11060.38 19286.83 9886.70 216
MVS_111021_HR85.14 4184.75 4186.32 3991.65 5072.70 2085.98 15690.33 10476.11 6082.08 5691.61 5571.36 3294.17 7881.02 3992.58 4492.08 78
jason81.39 7880.29 8284.70 6386.63 14669.90 5285.95 15786.77 17763.24 20781.07 6489.47 9661.08 13592.15 15178.33 5890.07 6692.05 79
jason: jason.
test_040272.79 20470.44 20779.84 18188.13 11665.99 11185.93 15884.29 20165.57 19067.40 22785.49 18646.92 21792.61 14035.88 27274.38 21680.94 258
OurMVSNet-221017-074.26 18972.42 19379.80 18283.76 19559.59 20385.92 15986.64 17866.39 18366.96 23087.58 13139.46 24991.60 16665.76 15869.27 24188.22 186
EG-PatchMatch MVS74.04 19071.82 19680.71 17184.92 16367.42 9485.86 16088.08 16566.04 18664.22 24683.85 19935.10 26392.56 14257.44 21480.83 14682.16 254
DI_MVS_test_normal79.81 11078.45 11783.89 8582.70 21965.40 12285.82 16189.48 13069.39 15070.12 19585.66 18257.15 16293.71 10777.08 6588.62 8192.56 65
CLD-MVS82.31 6381.65 6684.29 7388.47 10767.73 9285.81 16292.35 4375.78 6278.33 9186.58 16264.01 7994.35 7076.05 7387.48 9290.79 104
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
SixPastTwentyTwo73.37 19571.26 20279.70 18385.08 16257.89 22285.57 16383.56 20871.03 13165.66 23885.88 17642.10 24092.57 14159.11 20163.34 26588.65 171
V4279.38 12178.24 12582.83 12281.10 23565.50 12185.55 16489.82 12271.57 12678.21 9786.12 17360.66 14093.18 12475.64 8075.46 20689.81 149
lupinMVS81.39 7880.27 8384.76 6287.35 13570.21 4885.55 16486.41 18162.85 21381.32 6088.61 11561.68 12292.24 15078.41 5790.26 6291.83 81
DELS-MVS85.41 3885.30 3685.77 4588.49 10667.93 8885.52 16693.44 978.70 2383.63 4489.03 10774.57 995.71 2980.26 4794.04 3693.66 30
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
Test477.83 15075.90 16783.62 8880.24 24265.25 12885.27 16790.67 8969.03 15866.48 23583.75 20143.07 23493.00 13375.93 7588.66 8092.62 64
MVS_111021_LR82.61 6182.11 5984.11 7788.82 9671.58 3485.15 16886.16 18674.69 7680.47 6791.04 6662.29 11690.55 18780.33 4690.08 6590.20 131
WR-MVS79.49 11779.22 10580.27 17788.79 9958.35 21385.06 16988.61 15978.56 2477.65 10888.34 12263.81 8290.66 18664.98 16477.22 17791.80 84
OpenMVS_ROBcopyleft64.09 1970.56 21868.19 22177.65 20780.26 24159.41 20785.01 17082.96 21458.76 24165.43 24082.33 21337.63 25791.23 17245.34 26076.03 19882.32 252
BH-RMVSNet79.61 11378.44 11983.14 10289.38 7965.93 11284.95 17187.15 17473.56 9078.19 9889.79 8856.67 16493.36 11859.53 19986.74 9990.13 134
BH-w/o78.21 13877.33 14180.84 16888.81 9765.13 13284.87 17287.85 16869.75 14674.52 15684.74 19761.34 12993.11 12858.24 20985.84 10984.27 239
TDRefinement67.49 23164.34 23776.92 21473.47 27261.07 19384.86 17382.98 21359.77 23658.30 26185.13 19126.06 27387.89 21647.92 25160.59 27281.81 256
TAMVS78.89 13077.51 13883.03 10887.80 12567.79 9184.72 17485.05 19667.63 17176.75 12387.70 12862.25 11790.82 18358.53 20687.13 9590.49 123
liao176.53 17275.30 17180.21 17883.93 18962.32 18784.66 17588.81 15760.23 23270.16 19484.07 19855.30 17290.73 18567.37 14483.21 12687.59 197
liao80.84 8379.77 8784.05 8093.11 3070.78 4384.66 17585.42 19257.37 25181.76 5892.02 4663.41 8394.12 7967.28 14592.93 4087.26 204
HC-MVS78.19 14076.99 14581.78 14385.66 15466.99 10084.66 17590.47 9755.08 25972.02 17885.27 19063.83 8194.11 8166.10 15489.80 6884.24 240
TR-MVS77.44 16376.18 15981.20 16288.24 11363.24 17484.61 17886.40 18267.55 17377.81 10586.48 16654.10 18193.15 12557.75 21282.72 13187.20 205
AllTest70.96 21368.09 22479.58 18685.15 16063.62 16484.58 17979.83 23862.31 21860.32 25686.73 14932.02 26688.96 20850.28 24071.57 23486.15 222
EU-MVSNet68.53 22867.61 22971.31 24778.51 25647.01 27284.47 18084.27 20242.27 27866.44 23684.79 19640.44 24783.76 23558.76 20568.54 24783.17 246
VNet82.21 6482.41 5581.62 15390.82 6060.93 19484.47 18089.78 12376.36 5784.07 3791.88 5064.71 7590.26 18970.68 12288.89 7593.66 30
VPNet78.69 13278.66 11278.76 19488.31 11255.72 24484.45 18286.63 17976.79 4578.26 9690.55 7659.30 14989.70 19666.63 15077.05 17990.88 102
PVSNet_Blended80.98 8180.34 8082.90 11688.85 9465.40 12284.43 18392.00 5167.62 17278.11 10085.05 19266.02 6694.27 7371.52 11989.50 6989.01 161
MV-PatchMatch76.12 17674.46 17981.13 16585.37 15869.79 5384.42 18487.95 16765.03 19467.46 22685.33 18953.28 18791.73 15858.01 21183.27 12581.85 255
CDS-MVSNet79.07 12677.70 13583.17 10087.60 13068.23 8484.40 18586.20 18567.49 17476.36 12886.54 16461.54 12590.79 18461.86 18387.33 9390.49 123
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
K. test v371.19 21168.51 21879.21 19083.04 21157.78 22484.35 18676.91 25272.90 10562.99 25182.86 20939.27 25091.09 17961.65 18552.66 28088.75 168
PS-MVSNAJ81.69 7281.02 7383.70 8789.51 7668.21 8584.28 18790.09 11470.79 13381.26 6285.62 18363.15 8994.29 7175.62 8188.87 7688.59 178
diffmvs79.51 11578.59 11482.25 13583.31 20362.66 18384.17 18888.11 16367.64 17076.09 13587.47 13664.01 7991.15 17371.71 11884.82 11492.94 58
test22291.50 5168.26 8384.16 18983.20 21154.63 26079.74 6991.63 5458.97 15191.42 5286.77 214
testdata184.14 19075.71 63
testing_275.73 18173.34 18782.89 11877.37 25965.22 12984.10 19190.54 9569.09 15760.46 25581.15 23340.48 24692.84 13676.36 7180.54 15390.60 115
MVSTER79.01 12777.88 13082.38 13383.07 20964.80 13884.08 19288.95 15169.01 15978.69 8087.17 14554.70 17692.43 14474.69 8880.57 15189.89 145
ab-mvs79.51 11578.97 10981.14 16488.46 10860.91 19583.84 19389.24 13870.36 13879.03 7688.87 10963.23 8890.21 19165.12 16182.57 13392.28 72
PAPM77.68 15376.40 15281.51 15687.29 13761.85 19183.78 19489.59 12764.74 19571.23 18488.70 11162.59 10893.66 10852.66 23487.03 9789.01 161
1112_ss77.40 16576.43 15180.32 17589.11 9160.41 20083.65 19587.72 17062.13 22073.05 16586.72 15162.58 10989.97 19362.11 18180.80 14790.59 117
PCF-MVS73.52 780.38 9778.84 11085.01 5587.71 12868.99 6783.65 19591.46 7463.00 21077.77 10790.28 7866.10 6395.09 5261.40 18688.22 8890.94 101
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
XVG-ACMP-BASELINE76.11 17774.27 18181.62 15383.20 20664.67 14083.60 19789.75 12469.75 14671.85 17987.09 14632.78 26592.11 15269.99 12880.43 15488.09 189
XVG-OURS-SEG-HR80.81 8679.76 8883.96 8485.60 15668.78 7183.54 19890.50 9670.66 13576.71 12491.66 5160.69 13991.26 17076.94 6781.58 14191.83 81
IB-MVS68.01 1575.85 18073.36 18683.31 9584.76 16466.03 10983.38 19985.06 19570.21 14169.40 20581.05 23445.76 22394.66 6665.10 16275.49 20589.25 157
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
HY-MVS69.67 1277.95 14677.15 14480.36 17387.57 13460.21 20183.37 20087.78 16966.11 18475.37 14287.06 14763.27 8690.48 18861.38 18782.43 13490.40 128
XVG-OURS80.41 9379.23 10483.97 8385.64 15569.02 6583.03 20190.39 9871.09 13077.63 10991.49 5954.62 17891.35 16875.71 7983.47 12391.54 87
mvs_anonymous79.42 12079.11 10680.34 17484.45 16957.97 22082.59 20287.62 17167.40 17676.17 13488.56 11868.47 4989.59 19770.65 12386.05 10693.47 42
DWT-MVSNet_test73.70 19271.86 19579.21 19082.91 21458.94 20882.34 20382.17 22165.21 19171.05 18678.31 24944.21 22990.17 19263.29 17177.28 17588.53 182
cascas76.72 17174.64 17582.99 11085.78 15365.88 11482.33 20489.21 13960.85 22772.74 16781.02 23547.28 21593.75 10267.48 14385.02 11089.34 156
RPSCF73.23 19971.46 19878.54 19782.50 22259.85 20282.18 20582.84 21558.96 24071.15 18589.41 10245.48 22684.77 23458.82 20471.83 23291.02 99
tpmp4_e2373.45 19471.17 20380.31 17683.55 19859.56 20581.88 20682.33 21957.94 24770.51 19081.62 22951.19 20191.63 16553.96 22777.51 17389.75 151
MS-PatchMatch73.83 19172.67 19077.30 21283.87 19066.02 11081.82 20784.66 19861.37 22568.61 21782.82 21047.29 21488.21 21459.27 20084.32 11877.68 268
Test_1112_low_res76.40 17375.44 17079.27 18889.28 8658.09 21681.69 20887.07 17559.53 23872.48 17186.67 15661.30 13089.33 20060.81 19180.15 15690.41 127
PatchFormer-LS_test74.50 18773.05 18878.86 19382.95 21359.55 20681.65 20982.30 22067.44 17571.62 18278.15 25152.34 19088.92 21065.05 16375.90 20088.12 188
IterMVS74.29 18872.94 18978.35 20081.53 23063.49 16781.58 21082.49 21768.06 16969.99 19983.69 20351.66 19885.54 23065.85 15771.64 23386.01 226
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
GA-MVS76.87 16975.17 17281.97 14082.75 21762.58 18481.44 21186.35 18472.16 11974.74 15482.89 20846.20 21992.02 15368.85 13581.09 14491.30 94
CostFormer75.24 18673.90 18479.27 18882.65 22058.27 21580.80 21282.73 21661.57 22375.33 14683.13 20755.52 17091.07 18064.98 16478.34 16988.45 183
MIMVSNet168.58 22766.78 23173.98 23680.07 24351.82 25780.77 21384.37 20064.40 19959.75 25882.16 21636.47 25983.63 23742.73 26370.33 23986.48 219
MSDG73.36 19770.99 20480.49 17284.51 16865.80 11580.71 21486.13 18765.70 18965.46 23983.74 20244.60 22790.91 18251.13 23876.89 18484.74 237
tpm273.26 19871.46 19878.63 19583.34 20256.71 23380.65 21580.40 23356.63 25473.55 16082.02 22051.80 19691.24 17156.35 22078.42 16887.95 190
pm-mvs170.87 21469.03 21476.39 21879.41 24958.92 20980.64 21678.89 24355.71 25667.14 22983.58 20548.48 21185.25 23252.94 23374.48 21584.99 234
XXY-MVS75.41 18475.56 16974.96 22783.59 19757.82 22380.59 21783.87 20666.54 18274.93 15388.31 12363.24 8780.09 25062.16 18076.85 18686.97 211
TinyColmap67.30 23464.81 23674.76 23081.92 22756.68 23480.29 21881.49 22660.33 23056.27 26883.22 20624.77 27587.66 21945.52 25869.47 24079.95 262
LCM-MVSNet-Re77.05 16676.94 14677.36 21087.20 13851.60 25980.06 21980.46 23275.20 7367.69 22486.72 15162.48 11288.98 20663.44 17089.25 7291.51 88
FMVSNet569.50 22367.96 22574.15 23582.97 21255.35 24580.01 22082.12 22262.56 21663.02 24981.53 23036.92 25881.92 24348.42 24874.06 21885.17 233
tpmrst72.39 20572.13 19473.18 23980.54 24049.91 26679.91 22179.08 24263.11 20871.69 18179.95 24155.32 17182.77 24165.66 15973.89 22086.87 212
PatchmatchNetpermissive73.12 20071.33 20078.49 19883.18 20760.85 19679.63 22278.57 24464.13 20171.73 18079.81 24451.20 20085.97 22857.40 21576.36 19688.66 170
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PatchMatch-RL72.38 20670.90 20576.80 21688.60 10367.38 9679.53 22376.17 25462.75 21569.36 20782.00 22145.51 22584.89 23353.62 22980.58 15078.12 266
CMPMVSbinary51.72 2170.19 22068.16 22276.28 21973.15 27357.55 22579.47 22483.92 20548.02 27556.48 26784.81 19543.13 23386.42 22662.67 17681.81 14084.89 235
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
LTVRE_ROB69.57 1376.25 17574.54 17881.41 15888.60 10364.38 15479.24 22589.12 14070.76 13469.79 20387.86 12649.09 20893.20 12256.21 22180.16 15586.65 217
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
tpm72.37 20771.71 19774.35 23382.19 22552.00 25679.22 22677.29 25064.56 19772.95 16683.68 20451.35 19983.26 24058.33 20875.80 20187.81 193
USDC70.33 21968.37 21976.21 22080.60 23956.23 24079.19 22786.49 18060.89 22661.29 25285.47 18731.78 26889.47 19953.37 23076.21 19782.94 251
PM-MVS66.41 23864.14 23873.20 23873.92 26956.45 23678.97 22864.96 28763.88 20664.72 24480.24 23919.84 28283.44 23866.24 15164.52 26379.71 263
tpmvs71.09 21269.29 21276.49 21782.04 22656.04 24278.92 22981.37 22764.05 20267.18 22878.28 25049.74 20489.77 19449.67 24572.37 22883.67 243
test-LLR72.94 20372.43 19274.48 23181.35 23158.04 21778.38 23077.46 24866.66 17869.95 20079.00 24748.06 21279.24 25266.13 15284.83 11286.15 222
TESTMET0.1,169.89 22269.00 21572.55 24079.27 25356.85 22978.38 23074.71 26457.64 24868.09 22177.19 25637.75 25576.70 26263.92 16884.09 11984.10 242
test-mter71.41 21070.39 20974.48 23181.35 23158.04 21778.38 23077.46 24860.32 23169.95 20079.00 24736.08 26179.24 25266.13 15284.83 11286.15 222
tpm cat170.57 21768.31 22077.35 21182.41 22357.95 22178.08 23380.22 23652.04 26968.54 21877.66 25452.00 19587.84 21751.77 23572.07 23186.25 220
WTY-MVS75.65 18275.68 16875.57 22486.40 14856.82 23077.92 23482.40 21865.10 19376.18 13287.72 12763.13 9280.90 24660.31 19381.96 13789.00 163
test20.0367.45 23266.95 23068.94 25275.48 26844.84 27477.50 23577.67 24766.66 17863.01 25083.80 20047.02 21678.40 25542.53 26468.86 24583.58 244
EPMVS69.02 22568.16 22271.59 24279.61 24749.80 26777.40 23666.93 28362.82 21470.01 19679.05 24545.79 22277.86 25956.58 21975.26 20987.13 208
gg-mvs-nofinetune69.95 22167.96 22575.94 22183.07 20954.51 24977.23 23770.29 27763.11 20870.32 19162.33 27843.62 23288.69 21153.88 22887.76 8984.62 238
MDTV_nov1_ep1369.97 21083.18 20753.48 25377.10 23880.18 23760.45 22969.33 20880.44 23848.89 21086.90 22151.60 23678.51 166
LF4IMVS64.02 24462.19 24569.50 25170.90 27753.29 25476.13 23977.18 25152.65 26858.59 25980.98 23623.55 27676.52 26353.06 23266.66 25278.68 265
sss73.60 19373.64 18573.51 23782.80 21655.01 24676.12 24081.69 22562.47 21774.68 15585.85 17857.32 15978.11 25760.86 19080.93 14587.39 200
testgi66.67 23766.53 23367.08 25875.62 26641.69 28175.93 24176.50 25366.11 18465.20 24386.59 16135.72 26274.71 26843.71 26273.38 22484.84 236
CR-MVSNet73.37 19571.27 20179.67 18481.32 23365.19 13075.92 24280.30 23459.92 23572.73 16881.19 23152.50 18886.69 22259.84 19577.71 17187.11 209
RPMNet71.62 20968.94 21679.67 18481.32 23365.19 13075.92 24278.30 24657.60 24972.73 16876.45 25852.30 19186.69 22248.14 25077.71 17187.11 209
MIMVSNet70.69 21669.30 21174.88 22884.52 16756.35 23975.87 24479.42 24164.59 19667.76 22282.41 21241.10 24481.54 24546.64 25581.34 14286.75 215
HyFIR77.49 16177.16 14378.47 19988.18 11458.04 21775.75 24584.17 20460.53 22876.25 12989.49 9462.42 11487.81 21868.64 13789.00 7389.56 154
test0.0.03 168.00 23067.69 22868.90 25377.55 25747.43 27075.70 24672.95 27266.66 17866.56 23382.29 21448.06 21275.87 26544.97 26174.51 21483.41 245
PMMVS69.34 22468.67 21771.35 24675.67 26562.03 18975.17 24773.46 27050.00 27368.68 21479.05 24552.07 19478.13 25661.16 18882.77 12973.90 275
UnsupCasMVSNet_eth67.33 23365.99 23471.37 24473.48 27151.47 26175.16 24885.19 19465.20 19260.78 25480.93 23742.35 23777.20 26157.12 21753.69 27985.44 229
MDTV_nov1_ep13_2view37.79 28675.16 24855.10 25866.53 23449.34 20653.98 22687.94 191
pmmvs357.79 25254.26 25668.37 25664.02 28556.72 23275.12 25065.17 28540.20 28052.93 27469.86 27220.36 28075.48 26745.45 25955.25 27872.90 276
dp66.80 23565.43 23570.90 24879.74 24648.82 26975.12 25074.77 26259.61 23764.08 24777.23 25542.89 23580.72 24748.86 24766.58 25383.16 247
Patchmtry70.74 21569.16 21375.49 22580.72 23754.07 25174.94 25280.30 23458.34 24370.01 19681.19 23152.50 18886.54 22453.37 23071.09 23685.87 228
PVSNet64.34 1872.08 20870.87 20675.69 22386.21 15056.44 23774.37 25380.73 23062.06 22170.17 19382.23 21542.86 23683.31 23954.77 22484.45 11787.32 202
MDA-MVSNet-bldmvs66.68 23663.66 23975.75 22279.28 25260.56 19973.92 25478.35 24564.43 19850.13 27879.87 24344.02 23183.67 23646.10 25756.86 27483.03 249
UnsupCasMVSNet_bld63.70 24561.53 24670.21 25073.69 27051.39 26272.82 25581.89 22355.63 25757.81 26271.80 26738.67 25278.61 25449.26 24652.21 28180.63 259
PatchT68.46 22967.85 22770.29 24980.70 23843.93 27672.47 25674.88 26060.15 23370.55 18876.57 25749.94 20381.59 24450.58 23974.83 21285.34 230
MVS-HIRNet59.14 24957.67 25163.57 26381.65 22943.50 27771.73 25765.06 28639.59 28251.43 27657.73 28238.34 25382.58 24239.53 26873.95 21964.62 282
Patchmatch-RL test68.82 22666.60 23275.47 22677.43 25859.57 20471.16 25870.33 27662.94 21268.65 21581.66 22831.06 26985.49 23169.58 13166.58 25381.34 257
test1236.12 2798.11 2800.14 2870.06 3020.09 30271.05 2590.03 3020.04 2980.25 2991.30 2970.05 3000.03 2960.21 2960.01 3000.29 296
test123567858.74 25156.89 25464.30 26069.70 27841.87 28071.05 25974.87 26154.06 26150.63 27771.53 26825.30 27474.10 27131.80 28063.10 26676.93 272
ANet_high50.57 26346.10 26563.99 26148.67 29539.13 28370.99 26180.85 22861.39 22431.18 28757.70 28317.02 28573.65 27331.22 28115.89 29579.18 264
testmv53.85 25751.03 25962.31 26461.46 28738.88 28570.95 26274.69 26551.11 27241.26 28166.85 27414.28 28772.13 27629.19 28249.51 28375.93 274
testmvs6.04 2808.02 2810.10 2880.08 3010.03 30369.74 2630.04 3010.05 2970.31 2981.68 2960.02 3010.04 2950.24 2950.02 2980.25 297
testus59.00 25057.91 24962.25 26572.25 27439.09 28469.74 26375.02 25953.04 26757.21 26573.72 26418.76 28470.33 27932.86 27568.57 24677.35 269
N_pmnet52.79 25953.26 25751.40 27678.99 2547.68 30169.52 2653.89 29951.63 27157.01 26674.98 26140.83 24565.96 28537.78 27064.67 26280.56 261
FPMVS53.68 25851.64 25859.81 26765.08 28451.03 26369.48 26669.58 27941.46 27940.67 28272.32 26616.46 28670.00 28024.24 28765.42 26158.40 284
DSMNet-mixed57.77 25356.90 25360.38 26667.70 28335.61 28869.18 26753.97 29032.30 28957.49 26479.88 24240.39 24868.57 28238.78 26972.37 22876.97 271
YYNet165.03 24162.91 24271.38 24375.85 26356.60 23569.12 26874.66 26657.28 25254.12 27077.87 25345.85 22174.48 26949.95 24361.52 27083.05 248
MDA-MVSNet_test_wron65.03 24162.92 24171.37 24475.93 26256.73 23169.09 26974.73 26357.28 25254.03 27177.89 25245.88 22074.39 27049.89 24461.55 26982.99 250
111157.11 25456.82 25557.97 26969.10 27928.28 29368.90 27074.54 26754.01 26253.71 27274.51 26223.09 27767.90 28332.28 27761.26 27177.73 267
.test124545.55 26550.02 26132.14 28269.10 27928.28 29368.90 27074.54 26754.01 26253.71 27274.51 26223.09 27767.90 28332.28 2770.02 2980.25 297
PVSNet_057.27 2061.67 24659.27 24768.85 25479.61 24757.44 22668.01 27273.44 27155.93 25558.54 26070.41 27044.58 22877.55 26047.01 25235.91 28671.55 277
test235659.50 24858.08 24863.74 26271.23 27641.88 27967.59 27372.42 27453.72 26457.65 26370.74 26926.31 27272.40 27532.03 27971.06 23776.93 272
ADS-MVSNet266.20 24063.33 24074.82 22979.92 24458.75 21067.55 27475.19 25853.37 26565.25 24175.86 25942.32 23880.53 24841.57 26568.91 24385.18 231
ADS-MVSNet64.36 24362.88 24368.78 25579.92 24447.17 27167.55 27471.18 27553.37 26565.25 24175.86 25942.32 23873.99 27241.57 26568.91 24385.18 231
LP61.36 24757.78 25072.09 24175.54 26758.53 21267.16 27675.22 25751.90 27054.13 26969.97 27137.73 25680.45 24932.74 27655.63 27677.29 270
LCM-MVSNet54.25 25649.68 26367.97 25753.73 29245.28 27366.85 27780.78 22935.96 28439.45 28462.23 2808.70 29378.06 25848.24 24951.20 28280.57 260
JIA-IIPM66.32 23962.82 24476.82 21577.09 26061.72 19265.34 27875.38 25658.04 24664.51 24562.32 27942.05 24186.51 22551.45 23769.22 24282.21 253
PMVScopyleft37.38 2244.16 26740.28 26855.82 27140.82 29842.54 27865.12 27963.99 28834.43 28624.48 28957.12 2843.92 29576.17 26417.10 29055.52 27748.75 286
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Patchmatch-test178.56 25558.71 21164.97 28073.71 26970.00 19880.13 24033.36 26465.60 260
new_pmnet50.91 26250.29 26052.78 27468.58 28234.94 29163.71 28156.63 28939.73 28144.95 27965.47 27621.93 27958.48 28734.98 27356.62 27564.92 281
HyFIR lowres test51.79 26050.01 26257.11 27068.82 28149.21 26860.50 28253.26 29134.52 28543.77 28064.94 27720.34 28171.75 27739.87 26764.06 26450.39 285
test1235649.28 26448.51 26451.59 27562.06 28619.11 29860.40 28372.45 27347.60 27640.64 28365.68 27513.84 28868.72 28127.29 28446.67 28566.94 280
PNet_i23d38.26 27035.42 27046.79 27758.74 28835.48 28959.65 28451.25 29232.45 28823.44 29247.53 2872.04 29758.96 28625.60 28618.09 29345.92 289
no-one51.08 26145.79 26666.95 25957.92 29050.49 26559.63 28576.04 25548.04 27431.85 28556.10 28519.12 28380.08 25136.89 27126.52 28870.29 278
wuykxyi23d39.76 26933.18 27259.51 26846.98 29644.01 27557.70 28667.74 28224.13 29113.98 29634.33 2901.27 29871.33 27834.23 27418.23 29163.18 283
E-PMN31.77 27230.64 27335.15 28052.87 29327.67 29557.09 28747.86 29424.64 29016.40 29433.05 29111.23 29054.90 28914.46 29218.15 29222.87 292
EMVS30.81 27329.65 27434.27 28150.96 29425.95 29756.58 28846.80 29524.01 29215.53 29530.68 29212.47 28954.43 29012.81 29317.05 29422.43 293
PMMVS240.82 26838.86 26946.69 27853.84 29116.45 29948.61 28949.92 29337.49 28331.67 28660.97 2818.14 29456.42 28828.42 28330.72 28767.19 279
testpf56.51 25557.58 25253.30 27371.99 27541.19 28246.89 29069.32 28158.06 24552.87 27569.45 27327.99 27172.73 27459.59 19862.07 26745.98 288
wuyk23d16.82 27715.94 27819.46 28558.74 28831.45 29239.22 2913.74 3006.84 2956.04 2972.70 2951.27 29824.29 29310.54 29414.40 2972.63 295
DUST3R18.61 27621.40 27710.23 2864.82 30010.11 30034.70 29230.74 2971.48 29623.91 29126.07 29328.42 27013.41 29427.12 28515.35 2967.17 294
Gipumacopyleft45.18 26641.86 26755.16 27277.03 26151.52 26032.50 29380.52 23132.46 28727.12 28835.02 2899.52 29275.50 26622.31 28860.21 27338.45 290
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MVEpermissive26.22 2330.37 27425.89 27643.81 27944.55 29735.46 29028.87 29439.07 29618.20 29318.58 29340.18 2882.68 29647.37 29117.07 29123.78 29048.60 287
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
cdsmvs_eth3d_5k19.96 27526.61 2750.00 2890.00 3030.00 3040.00 29589.26 1370.00 2990.00 30088.61 11561.62 1240.00 2970.00 2970.00 3010.00 299
pcd_1.5k_mvsjas5.26 2817.02 2820.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 29863.15 890.00 2970.00 2970.00 3010.00 299
pcd1.5k->3k34.07 27135.26 27130.50 28386.92 1410.00 3040.00 29591.58 690.00 2990.00 3000.00 29856.23 1660.00 2970.00 29782.60 13291.49 90
sosnet-low-res0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
sosnet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
uncertanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
Regformer0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
ab-mvs-re7.23 2789.64 2790.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 30086.72 1510.00 3020.00 2970.00 2970.00 3010.00 299
uanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
test9_res84.90 1195.70 1092.87 59
train_agg84.97 995.71 893.02 54
Patchmatch-test75.77 26436.09 28772.86 265
agg_prior282.91 3195.45 1292.70 60
agg_prior92.85 3471.94 3191.78 6284.41 3194.93 55
TestCases79.58 18685.15 16063.62 16479.83 23862.31 21860.32 25686.73 14932.02 26688.96 20850.28 24071.57 23486.15 222
test_prior86.33 3792.61 3969.59 5692.97 2795.48 3493.91 25
新几何183.42 9193.13 2870.71 4485.48 19157.43 25081.80 5791.98 4763.28 8592.27 14964.60 16792.99 3987.27 203
旧先验191.96 4665.79 11686.37 18393.08 3569.31 4592.74 4288.74 169
原ACMM184.35 7193.01 3268.79 7092.44 3863.96 20581.09 6391.57 5666.06 6595.45 3667.19 14794.82 2588.81 166
testdata291.01 18162.37 178
segment_acmp73.08 20
testdata79.97 18090.90 5864.21 15584.71 19759.27 23985.40 1692.91 3662.02 12189.08 20468.95 13491.37 5386.63 218
test1286.80 2992.63 3870.70 4591.79 6182.71 5371.67 2996.16 2394.50 2893.54 40
plane_prior790.08 6868.51 80
plane_prior689.84 7268.70 7760.42 144
plane_prior592.44 3895.38 4078.71 5386.32 10391.33 92
plane_prior491.00 69
plane_prior368.60 7978.44 2578.92 78
plane_prior189.90 71
abl_691.81 83
n20.00 303
nn0.00 303
door-mid69.98 278
lessismore_v078.97 19281.01 23657.15 22765.99 28461.16 25382.82 21039.12 25191.34 16959.67 19646.92 28488.43 184
LGP-MVS_train84.50 6689.23 8868.76 7291.94 5575.37 6976.64 12691.51 5754.29 17994.91 5778.44 5583.78 12189.83 147
test1192.23 44
door69.44 280
HQP5-MVS66.98 101
BP-MVS77.47 61
HQP4-MVS77.24 11695.11 4891.03 97
HQP3-MVS92.19 4785.99 107
HQP2-MVS