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
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
CNVR-MVS88.93 389.13 388.33 394.77 273.82 490.51 3593.00 2280.90 888.06 694.06 1976.43 396.84 588.48 295.99 294.34 12
PHI-MVS86.43 2486.17 2787.24 2290.88 6170.96 4092.27 1694.07 172.45 11385.22 1991.90 5169.47 4496.42 1883.28 2695.94 394.35 11
test_prior386.73 2086.86 1986.33 3892.61 4069.59 5888.85 6892.97 2775.41 6784.91 2393.54 2374.28 1595.48 3483.31 2495.86 493.91 25
test_prior288.85 6875.41 6784.91 2393.54 2374.28 1583.31 2495.86 4
SteuartSystems-ACMMP88.72 488.86 488.32 492.14 4672.96 1593.73 393.67 680.19 1288.10 594.80 273.76 1897.11 187.51 495.82 694.90 3
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS80.84 188.10 588.56 586.73 3192.24 4469.03 6689.57 5493.39 1177.53 3389.79 394.12 1778.98 196.58 1685.66 695.72 794.58 6
train_agg86.43 2486.20 2587.13 2593.26 2772.96 1588.75 7291.89 5868.69 16385.00 2193.10 3374.43 1195.41 3984.97 995.71 893.02 54
agg_prior386.16 2985.85 3187.10 2693.31 2472.86 1988.77 7191.68 6868.29 16984.26 3692.83 4172.83 2395.42 3884.97 995.71 893.02 54
test9_res84.90 1195.70 1092.87 59
APDe-MVS89.15 189.63 187.73 1594.49 871.69 3493.83 293.96 275.70 6491.06 196.03 176.84 297.03 389.09 195.65 1194.47 9
agg_prior282.91 3195.45 1292.70 60
CDPH-MVS85.76 3385.29 3887.17 2493.49 2371.08 3888.58 7892.42 4168.32 16884.61 3093.48 2572.32 2796.15 2479.00 5095.43 1394.28 14
DeepC-MVS79.81 287.08 1886.88 1887.69 1891.16 5672.32 3090.31 4193.94 377.12 3882.82 5394.23 1472.13 2997.09 284.83 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
agg_prior186.22 2886.09 2886.62 3492.85 3571.94 3288.59 7791.78 6468.96 16084.41 3393.18 3274.94 794.93 5684.75 1595.33 1593.01 56
DeepC-MVS_fast79.65 386.91 1986.62 2087.76 1493.52 2272.37 2991.26 2593.04 1976.62 5184.22 3793.36 2971.44 3296.76 780.82 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
MP-MVScopyleft87.71 887.64 887.93 1294.36 1473.88 292.71 1292.65 3677.57 3083.84 4194.40 1172.24 2896.28 2185.65 795.30 1793.62 37
MCST-MVS87.37 1387.25 1187.73 1594.53 772.46 2789.82 4893.82 473.07 10184.86 2892.89 3976.22 496.33 1984.89 1395.13 1894.40 10
APD-MVScopyleft87.44 1087.52 987.19 2394.24 1572.39 2891.86 2192.83 3173.01 10288.58 494.52 373.36 1996.49 1784.26 2095.01 1992.70 60
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
NCCC88.06 688.01 788.24 594.41 1273.62 591.22 2892.83 3181.50 585.79 1593.47 2773.02 2297.00 484.90 1194.94 2094.10 17
ACMMPR87.44 1087.23 1288.08 794.64 373.59 693.04 593.20 1576.78 4684.66 2994.52 368.81 4996.65 1084.53 1694.90 2194.00 23
HFP-MVS87.58 987.47 1087.94 1094.58 573.54 993.04 593.24 1376.78 4684.91 2394.44 870.78 3496.61 1284.53 1694.89 2293.66 30
#test#87.33 1487.13 1487.94 1094.58 573.54 992.34 1493.24 1375.23 7184.91 2394.44 870.78 3496.61 1283.75 2394.89 2293.66 30
region2R87.42 1287.20 1388.09 694.63 473.55 793.03 793.12 1876.73 4984.45 3294.52 369.09 4796.70 984.37 1994.83 2494.03 20
原ACMM184.35 7293.01 3368.79 7292.44 3863.96 20681.09 6591.57 5866.06 6695.45 3667.19 14694.82 2588.81 166
HPM-MVS87.11 1686.98 1587.50 2093.88 1972.16 3192.19 1793.33 1276.07 6183.81 4293.95 2169.77 4396.01 2685.15 894.66 2694.32 13
PGM-MVS86.68 2186.27 2487.90 1394.22 1673.38 1290.22 4393.04 1975.53 6683.86 4094.42 1067.87 5396.64 1182.70 3394.57 2793.66 30
XVS87.18 1586.91 1788.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4494.17 1567.45 5596.60 1483.06 2894.50 2894.07 18
X-MVStestdata80.37 9977.83 13288.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4412.47 29967.45 5596.60 1483.06 2894.50 2894.07 18
test1286.80 3092.63 3970.70 4691.79 6382.71 5571.67 3096.16 2394.50 2893.54 40
CP-MVS87.11 1686.92 1687.68 1994.20 1773.86 393.98 192.82 3376.62 5183.68 4394.46 767.93 5195.95 2784.20 2194.39 3193.23 47
CSCG86.41 2686.19 2687.07 2792.91 3472.48 2690.81 3193.56 773.95 8483.16 4991.07 6775.94 595.19 4679.94 4994.38 3293.55 39
MSLP-MVS85.43 3885.76 3284.45 6991.93 4970.24 4990.71 3292.86 2977.46 3584.22 3792.81 4467.16 5892.94 13580.36 4594.35 3390.16 133
mPP-MVS86.67 2286.32 2387.72 1794.41 1273.55 792.74 1092.22 4576.87 4482.81 5494.25 1366.44 6296.24 2282.88 3294.28 3493.38 43
SD-MVS88.06 688.50 686.71 3292.60 4272.71 2091.81 2293.19 1677.87 2790.32 294.00 2074.83 893.78 9987.63 394.27 3593.65 35
DELS-MVS85.41 3985.30 3785.77 4688.49 10967.93 9185.52 16793.44 978.70 2383.63 4689.03 10874.57 995.71 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
EPNet83.72 4882.92 5286.14 4384.22 17569.48 6191.05 3085.27 19681.30 676.83 12491.65 5466.09 6595.56 3276.00 7493.85 3793.38 43
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
3Dnovator+77.84 485.48 3684.47 4388.51 291.08 5773.49 1193.18 493.78 580.79 976.66 12793.37 2860.40 14796.75 877.20 6493.73 3895.29 1
新几何183.42 9393.13 2970.71 4585.48 19457.43 25281.80 5991.98 4963.28 8692.27 15164.60 16692.99 3987.27 203
liao80.84 8479.77 8884.05 8193.11 3170.78 4484.66 17685.42 19557.37 25381.76 6092.02 4863.41 8494.12 8067.28 14492.93 4087.26 204
HPM-MVS_fast85.35 4084.95 4186.57 3693.69 2070.58 4792.15 1891.62 6973.89 8582.67 5694.09 1862.60 10995.54 3380.93 4092.93 4093.57 38
旧先验191.96 4865.79 12086.37 18693.08 3769.31 4692.74 4288.74 169
3Dnovator76.31 583.38 5382.31 5986.59 3587.94 12372.94 1890.64 3392.14 4977.21 3675.47 13992.83 4158.56 15494.72 6673.24 10092.71 4392.13 77
MVS_111021_HR85.14 4284.75 4286.32 4091.65 5272.70 2185.98 15790.33 10676.11 6082.08 5891.61 5771.36 3394.17 7981.02 3992.58 4492.08 78
APD-MVS_3200maxsize85.97 3085.88 2986.22 4192.69 3869.53 6091.93 2092.99 2473.54 9185.94 1394.51 665.80 6995.61 3083.04 3092.51 4593.53 41
MAR-MVS81.84 7180.70 7685.27 5191.32 5571.53 3689.82 4890.92 8769.77 14578.50 8686.21 17362.36 11694.52 7065.36 15992.05 4689.77 151
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
TSAR-MVS85.71 3485.33 3586.84 2991.34 5472.50 2589.07 6487.28 17676.41 5385.80 1490.22 8374.15 1795.37 4381.82 3691.88 4792.65 63
IS-MVSNet83.15 5482.81 5384.18 7789.94 7363.30 17691.59 2388.46 16379.04 2079.49 7492.16 4665.10 7394.28 7367.71 14091.86 4894.95 2
Vis-MVSNet (Re-imp)78.36 13778.45 11878.07 20488.64 10551.78 26286.70 14279.63 24474.14 8275.11 15290.83 7461.29 13289.75 19858.10 21291.60 4992.69 62
MG-MVS83.41 5183.45 4683.28 9892.74 3762.28 19288.17 9389.50 13175.22 7281.49 6192.74 4566.75 5995.11 4972.85 10291.58 5092.45 67
CPTT-MVS83.73 4783.33 4884.92 6093.28 2670.86 4392.09 1990.38 10168.75 16279.57 7392.83 4160.60 14393.04 13380.92 4191.56 5190.86 103
test22291.50 5368.26 8684.16 19083.20 21354.63 26479.74 7191.63 5658.97 15291.42 5286.77 214
testdata79.97 18290.90 6064.21 15984.71 20059.27 24085.40 1692.91 3862.02 12289.08 20768.95 13491.37 5386.63 218
API-MVS81.99 6981.23 7184.26 7590.94 5970.18 5291.10 2989.32 13571.51 12778.66 8488.28 12565.26 7195.10 5264.74 16591.23 5487.51 198
Vis-MVSNetpermissive83.46 5082.80 5485.43 4990.25 6868.74 7690.30 4290.13 11576.33 5880.87 6792.89 3961.00 13794.20 7772.45 10990.97 5593.35 45
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
OpenMVScopyleft72.83 1079.77 11278.33 12484.09 7985.17 16169.91 5390.57 3490.97 8666.70 17872.17 17691.91 5054.70 17893.96 8561.81 18490.95 5688.41 185
UA-Net85.08 4384.96 4085.45 4892.07 4768.07 9089.78 5090.86 8982.48 284.60 3193.20 3169.35 4595.22 4571.39 12190.88 5793.07 52
ACMMPcopyleft85.89 3285.39 3487.38 2193.59 2172.63 2292.74 1093.18 1776.78 4680.73 6893.82 2264.33 7796.29 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
Regformer-186.41 2686.33 2286.64 3389.33 8370.93 4188.43 8091.39 7782.14 386.65 1290.09 8574.39 1395.01 5583.97 2290.63 5993.97 24
Regformer-286.63 2386.53 2186.95 2889.33 8371.24 3788.43 8092.05 5182.50 186.88 1190.09 8574.45 1095.61 3084.38 1890.63 5994.01 22
UGNet80.83 8679.59 9084.54 6688.04 12068.09 8989.42 5588.16 16476.95 4276.22 13189.46 9949.30 20993.94 8768.48 13790.31 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
MVSFormer82.85 5982.05 6285.24 5287.35 13770.21 5090.50 3690.38 10168.55 16581.32 6289.47 9761.68 12393.46 11478.98 5190.26 6292.05 79
lupinMVS81.39 7980.27 8484.76 6387.35 13770.21 5085.55 16586.41 18462.85 21481.32 6288.61 11661.68 12392.24 15278.41 5790.26 6291.83 81
DP-MVS Recon83.11 5682.09 6186.15 4294.44 970.92 4288.79 7092.20 4670.53 13679.17 7791.03 7064.12 7996.03 2568.39 13990.14 6491.50 89
MVS_111021_LR82.61 6282.11 6084.11 7888.82 9971.58 3585.15 16986.16 18974.69 7680.47 6991.04 6862.29 11790.55 19080.33 4690.08 6590.20 132
jason81.39 7980.29 8384.70 6486.63 14869.90 5485.95 15886.77 18063.24 20881.07 6689.47 9761.08 13692.15 15378.33 5890.07 6692.05 79
jason: jason.
LFMVS81.82 7281.23 7183.57 9191.89 5063.43 17489.84 4781.85 22677.04 4183.21 4793.10 3352.26 19493.43 11871.98 11589.95 6793.85 28
HC-MVS78.19 14176.99 14581.78 14585.66 15666.99 10384.66 17690.47 9955.08 26372.02 18085.27 19263.83 8294.11 8266.10 15389.80 6884.24 240
PVSNet_Blended80.98 8280.34 8182.90 11888.85 9765.40 12684.43 18492.00 5267.62 17378.11 10285.05 19466.02 6794.27 7471.52 11989.50 6989.01 161
PAPM_NR83.02 5782.41 5684.82 6292.47 4366.37 11087.93 10091.80 6273.82 8677.32 11690.66 7667.90 5294.90 6070.37 12589.48 7093.19 49
114514_t80.68 8979.51 9484.20 7694.09 1867.27 10189.64 5391.11 8458.75 24474.08 16090.72 7558.10 15795.04 5469.70 13089.42 7190.30 130
LCM-MVSNet-Re77.05 16776.94 14677.36 21287.20 14051.60 26380.06 22180.46 23675.20 7367.69 22686.72 15362.48 11488.98 20963.44 16989.25 7291.51 88
alignmvs85.48 3685.32 3685.96 4589.51 7969.47 6289.74 5192.47 3776.17 5987.73 991.46 6270.32 3793.78 9981.51 3788.95 7394.63 5
VNet82.21 6582.41 5681.62 15590.82 6260.93 19884.47 18189.78 12576.36 5784.07 3991.88 5264.71 7690.26 19270.68 12288.89 7493.66 30
PS-MVSNAJ81.69 7381.02 7483.70 8889.51 7968.21 8884.28 18890.09 11670.79 13381.26 6485.62 18563.15 9094.29 7275.62 8188.87 7588.59 178
canonicalmvs85.91 3185.87 3086.04 4489.84 7569.44 6490.45 3993.00 2276.70 5088.01 791.23 6473.28 2093.91 9081.50 3888.80 7694.77 4
QAPM80.88 8379.50 9585.03 5588.01 12268.97 7091.59 2392.00 5266.63 18275.15 15192.16 4657.70 15995.45 3663.52 16888.76 7790.66 112
VDD-MVS83.01 5882.36 5884.96 5791.02 5866.40 10988.91 6688.11 16577.57 3084.39 3593.29 3052.19 19593.91 9077.05 6688.70 7894.57 7
Test477.83 15175.90 16783.62 8980.24 24565.25 13285.27 16890.67 9169.03 15866.48 23783.75 20343.07 23793.00 13475.93 7588.66 7992.62 64
DI_MVS_test_normal79.81 11178.45 11883.89 8682.70 22165.40 12685.82 16289.48 13269.39 15070.12 19785.66 18457.15 16493.71 10877.08 6588.62 8092.56 65
PVSNet_Blended_VisFu82.62 6181.83 6684.96 5790.80 6369.76 5688.74 7491.70 6769.39 15078.96 7988.46 12165.47 7094.87 6274.42 8988.57 8190.24 131
DI_MVS_test_dynamic79.89 11078.58 11683.85 8782.89 21765.32 13086.12 15489.55 13069.64 14970.55 19085.82 18157.24 16293.81 9776.85 6888.55 8292.41 69
PAPR81.66 7480.89 7583.99 8390.27 6764.00 16586.76 14191.77 6668.84 16177.13 12389.50 9567.63 5494.88 6167.55 14188.52 8393.09 51
MVS_Test83.15 5483.06 5083.41 9586.86 14463.21 17986.11 15592.00 5274.31 7982.87 5289.44 10270.03 3993.21 12177.39 6388.50 8493.81 29
AdaColmapbinary80.58 9279.42 9684.06 8093.09 3268.91 7189.36 5688.97 15169.27 15475.70 13889.69 9157.20 16395.77 2863.06 17288.41 8587.50 199
VDDNet81.52 7680.67 7784.05 8190.44 6564.13 16189.73 5285.91 19271.11 12983.18 4893.48 2550.54 20493.49 11373.40 9988.25 8694.54 8
PCF-MVS73.52 780.38 9878.84 11185.01 5687.71 13068.99 6983.65 19691.46 7663.00 21177.77 10990.28 8066.10 6495.09 5361.40 18788.22 8790.94 101
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
gg-mvs-nofinetune69.95 22367.96 22675.94 22383.07 21154.51 25277.23 24170.29 28163.11 20970.32 19362.33 28343.62 23588.69 21453.88 23087.76 8884.62 238
Regformer-385.23 4185.07 3985.70 4788.95 9569.01 6888.29 8989.91 12380.95 785.01 2090.01 8772.45 2694.19 7882.50 3587.57 8993.90 27
Regformer-485.68 3585.45 3386.35 3788.95 9569.67 5788.29 8991.29 7981.73 485.36 1790.01 8772.62 2595.35 4483.28 2687.57 8994.03 20
CLD-MVS82.31 6481.65 6784.29 7488.47 11067.73 9585.81 16392.35 4375.78 6278.33 9386.58 16464.01 8094.35 7176.05 7387.48 9190.79 104
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 12777.70 13683.17 10287.60 13268.23 8784.40 18686.20 18867.49 17576.36 13086.54 16661.54 12690.79 18761.86 18387.33 9290.49 123
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
EPP-MVSNet83.40 5283.02 5184.57 6590.13 6964.47 15592.32 1590.73 9074.45 7879.35 7691.10 6569.05 4895.12 4872.78 10387.22 9394.13 16
TAMVS78.89 13177.51 13983.03 11087.80 12767.79 9484.72 17585.05 19967.63 17276.75 12587.70 12962.25 11890.82 18658.53 20887.13 9490.49 123
TAPA-MVS73.13 979.15 12577.94 13082.79 12789.59 7862.99 18588.16 9491.51 7365.77 18977.14 12291.09 6660.91 13893.21 12150.26 24487.05 9592.17 76
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPM77.68 15476.40 15281.51 15887.29 13961.85 19583.78 19589.59 12964.74 19671.23 18688.70 11262.59 11093.66 10952.66 23687.03 9689.01 161
BH-untuned79.47 11978.60 11482.05 14089.19 9365.91 11786.07 15688.52 16272.18 11775.42 14287.69 13061.15 13493.54 11160.38 19386.83 9786.70 216
BH-RMVSNet79.61 11478.44 12083.14 10489.38 8265.93 11684.95 17287.15 17773.56 9078.19 10089.79 9056.67 16693.36 11959.53 20086.74 9890.13 135
LS3D76.95 16974.82 17583.37 9690.45 6467.36 10089.15 6386.94 17961.87 22469.52 20690.61 7751.71 19994.53 6946.38 25886.71 9988.21 187
EPNet_dtu75.46 18474.86 17477.23 21582.57 22354.60 25086.89 13483.09 21471.64 12266.25 23985.86 17955.99 16988.04 21854.92 22586.55 10089.05 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
OMC-MVS82.69 6081.97 6584.85 6188.75 10367.42 9787.98 9690.87 8874.92 7479.72 7291.65 5462.19 12093.96 8575.26 8586.42 10193.16 50
HQP_MVS83.64 4983.14 4985.14 5390.08 7068.71 7791.25 2692.44 3879.12 1878.92 8091.00 7160.42 14595.38 4178.71 5386.32 10291.33 92
plane_prior592.44 3895.38 4178.71 5386.32 10291.33 92
plane_prior68.71 7790.38 4077.62 2986.16 104
mvs_anonymous79.42 12179.11 10780.34 17684.45 17157.97 22382.59 20387.62 17367.40 17776.17 13588.56 11968.47 5089.59 20070.65 12386.05 10593.47 42
HQP3-MVS92.19 4785.99 106
HQP-MVS82.61 6282.02 6384.37 7089.33 8366.98 10489.17 5992.19 4776.41 5377.23 11990.23 8260.17 14895.11 4977.47 6185.99 10691.03 97
BH-w/o78.21 13977.33 14280.84 17088.81 10065.13 13684.87 17387.85 17069.75 14674.52 15884.74 19961.34 13093.11 12958.24 21185.84 10884.27 239
HyFIR77.63 15775.69 16883.44 9289.98 7268.58 8278.70 23287.50 17556.38 25875.80 13786.84 14958.67 15391.40 17061.58 18685.75 10990.34 129
cascas76.72 17274.64 17682.99 11285.78 15565.88 11882.33 20589.21 14160.85 22972.74 16981.02 23847.28 21793.75 10367.48 14285.02 11089.34 156
FIs82.07 6782.42 5581.04 16888.80 10158.34 21888.26 9193.49 876.93 4378.47 8791.04 6869.92 4192.34 15069.87 12984.97 11192.44 68
test-LLR72.94 20472.43 19374.48 23381.35 23458.04 22178.38 23377.46 25266.66 17969.95 20279.00 25248.06 21479.24 25566.13 15184.83 11286.15 222
test-mter71.41 21170.39 21074.48 23381.35 23458.04 22178.38 23377.46 25260.32 23269.95 20279.00 25236.08 26579.24 25566.13 15184.83 11286.15 222
diffmvs79.51 11678.59 11582.25 13783.31 20562.66 18784.17 18988.11 16567.64 17176.09 13687.47 13764.01 8091.15 17671.71 11884.82 11492.94 58
EI-MVSNet-Vis-set84.19 4483.81 4485.31 5088.18 11767.85 9287.66 10489.73 12780.05 1482.95 5089.59 9470.74 3694.82 6380.66 4484.72 11593.28 46
FC-MVSNet-test81.52 7682.02 6380.03 18188.42 11355.97 24687.95 9893.42 1077.10 3977.38 11490.98 7369.96 4091.79 15768.46 13884.50 11692.33 70
PVSNet64.34 1872.08 20970.87 20775.69 22586.21 15256.44 24074.37 25680.73 23362.06 22370.17 19582.23 21842.86 23983.31 24254.77 22684.45 11787.32 202
MS-PatchMatch73.83 19272.67 19177.30 21483.87 19266.02 11481.82 20884.66 20161.37 22768.61 21982.82 21247.29 21688.21 21759.27 20184.32 11877.68 270
TESTMET0.1,169.89 22469.00 21672.55 24279.27 25756.85 23278.38 23374.71 26857.64 25068.09 22377.19 26137.75 25976.70 26663.92 16784.09 11984.10 242
EI-MVSNet-UG-set83.81 4683.38 4785.09 5487.87 12467.53 9687.44 11589.66 12879.74 1582.23 5789.41 10370.24 3894.74 6579.95 4883.92 12092.99 57
LPG-MVS_test82.08 6681.27 7084.50 6789.23 9168.76 7490.22 4391.94 5675.37 6976.64 12891.51 5954.29 18194.91 5878.44 5583.78 12189.83 148
LGP-MVS_train84.50 6789.23 9168.76 7491.94 5675.37 6976.64 12891.51 5954.29 18194.91 5878.44 5583.78 12189.83 148
XVG-OURS80.41 9479.23 10583.97 8485.64 15769.02 6783.03 20290.39 10071.09 13077.63 11191.49 6154.62 18091.35 17175.71 7983.47 12391.54 87
CNLPA78.08 14376.79 14981.97 14290.40 6671.07 3987.59 10684.55 20266.03 18872.38 17589.64 9357.56 16086.04 23059.61 19883.35 12488.79 167
MVP-PatchMatch76.12 17774.46 18081.13 16785.37 16069.79 5584.42 18587.95 16965.03 19567.46 22885.33 19153.28 18991.73 16058.01 21383.27 12581.85 257
liao176.53 17375.30 17280.21 18083.93 19162.32 19184.66 17688.81 15960.23 23370.16 19684.07 20055.30 17490.73 18867.37 14383.21 12687.59 197
ACMP74.13 681.51 7880.57 7884.36 7189.42 8168.69 8089.97 4691.50 7574.46 7775.04 15490.41 7953.82 18694.54 6877.56 6082.91 12789.86 147
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM73.20 880.78 8879.84 8783.58 9089.31 8868.37 8489.99 4591.60 7070.28 13977.25 11789.66 9253.37 18893.53 11274.24 9282.85 12888.85 165
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PMMVS69.34 22668.67 21871.35 24875.67 27062.03 19375.17 25073.46 27450.00 27768.68 21679.05 25052.07 19678.13 26061.16 18982.77 12973.90 277
PLCcopyleft70.83 1178.05 14476.37 15383.08 10791.88 5167.80 9388.19 9289.46 13364.33 20169.87 20488.38 12253.66 18793.58 11058.86 20482.73 13087.86 192
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TR-MVS77.44 16476.18 15981.20 16488.24 11663.24 17884.61 17986.40 18567.55 17477.81 10786.48 16854.10 18393.15 12657.75 21482.72 13187.20 205
pcd1.5k->3k34.07 27435.26 27430.50 28686.92 1430.00 3090.00 29891.58 710.00 3030.00 3040.00 30356.23 1680.00 3010.00 30082.60 13291.49 90
ab-mvs79.51 11678.97 11081.14 16688.46 11160.91 19983.84 19489.24 14070.36 13879.03 7888.87 11063.23 8990.21 19465.12 16082.57 13392.28 72
HY-MVS69.67 1277.95 14777.15 14480.36 17587.57 13660.21 20583.37 20187.78 17166.11 18575.37 14487.06 14863.27 8790.48 19161.38 18882.43 13490.40 128
PS-MVSNAJss82.07 6781.31 6984.34 7386.51 14967.27 10189.27 5791.51 7371.75 12179.37 7590.22 8363.15 9094.27 7477.69 5982.36 13591.49 90
PVSNet_BlendedMVS80.60 9080.02 8582.36 13688.85 9765.40 12686.16 15392.00 5269.34 15378.11 10286.09 17666.02 6794.27 7471.52 11982.06 13687.39 200
WTY-MVS75.65 18375.68 16975.57 22686.40 15056.82 23377.92 23882.40 22065.10 19476.18 13387.72 12863.13 9380.90 24960.31 19481.96 13789.00 163
ACMMP++_ref81.95 138
DP-MVS76.78 17174.57 17783.42 9393.29 2569.46 6388.55 7983.70 20963.98 20570.20 19488.89 10954.01 18594.80 6446.66 25581.88 13986.01 226
CMPMVSbinary51.72 2170.19 22268.16 22376.28 22173.15 27857.55 22879.47 22683.92 20748.02 27956.48 27184.81 19743.13 23686.42 22862.67 17681.81 14084.89 235
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
XVG-OURS-SEG-HR80.81 8779.76 8983.96 8585.60 15868.78 7383.54 19990.50 9870.66 13576.71 12691.66 5360.69 14091.26 17376.94 6781.58 14191.83 81
MIMVSNet70.69 21769.30 21274.88 23084.52 16956.35 24275.87 24879.42 24564.59 19767.76 22482.41 21541.10 24881.54 24846.64 25781.34 14286.75 215
ACMMP++81.25 143
GA-MVS76.87 17075.17 17381.97 14282.75 21962.58 18881.44 21386.35 18772.16 11974.74 15682.89 21046.20 22292.02 15568.85 13581.09 14491.30 94
sss73.60 19473.64 18673.51 23982.80 21855.01 24976.12 24481.69 22762.47 21974.68 15785.85 18057.32 16178.11 26160.86 19180.93 14587.39 200
EG-PatchMatch MVS74.04 19171.82 19780.71 17384.92 16567.42 9785.86 16188.08 16766.04 18764.22 24983.85 20135.10 26792.56 14357.44 21680.83 14682.16 256
jajsoiax79.29 12377.96 12983.27 9984.68 16866.57 10889.25 5890.16 11469.20 15675.46 14089.49 9645.75 22793.13 12876.84 6980.80 14790.11 136
1112_ss77.40 16676.43 15180.32 17789.11 9460.41 20483.65 19687.72 17262.13 22273.05 16786.72 15362.58 11189.97 19662.11 18180.80 14790.59 117
mvs_tets79.13 12677.77 13583.22 10184.70 16766.37 11089.17 5990.19 11369.38 15275.40 14389.46 9944.17 23393.15 12676.78 7080.70 14990.14 134
PatchMatch-RL72.38 20770.90 20676.80 21888.60 10667.38 9979.53 22576.17 25862.75 21669.36 20982.00 22445.51 22884.89 23653.62 23180.58 15078.12 268
EI-MVSNet80.52 9379.98 8682.12 13884.28 17263.19 18186.41 14888.95 15374.18 8178.69 8287.54 13566.62 6092.43 14572.57 10880.57 15190.74 107
MVSTER79.01 12877.88 13182.38 13583.07 21164.80 14284.08 19388.95 15369.01 15978.69 8287.17 14654.70 17892.43 14574.69 8880.57 15189.89 146
testing_275.73 18273.34 18882.89 12077.37 26365.22 13384.10 19290.54 9769.09 15760.46 25981.15 23640.48 25092.84 13776.36 7180.54 15390.60 115
XVG-ACMP-BASELINE76.11 17874.27 18281.62 15583.20 20864.67 14483.60 19889.75 12669.75 14671.85 18187.09 14732.78 26992.11 15469.99 12880.43 15488.09 189
LTVRE_ROB69.57 1376.25 17674.54 17981.41 16088.60 10664.38 15879.24 22789.12 14270.76 13469.79 20587.86 12749.09 21093.20 12356.21 22380.16 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
Test_1112_low_res76.40 17475.44 17179.27 19089.28 8958.09 22081.69 21087.07 17859.53 23972.48 17386.67 15861.30 13189.33 20360.81 19280.15 15690.41 127
test_djsdf80.30 10079.32 9983.27 9983.98 19065.37 12990.50 3690.38 10168.55 16576.19 13288.70 11256.44 16793.46 11478.98 5180.14 15790.97 100
GBi-Net78.40 13577.40 14081.40 16187.60 13263.01 18288.39 8489.28 13671.63 12375.34 14587.28 14054.80 17591.11 17762.72 17379.57 15890.09 138
test178.40 13577.40 14081.40 16187.60 13263.01 18288.39 8489.28 13671.63 12375.34 14587.28 14054.80 17591.11 17762.72 17379.57 15890.09 138
FMVSNet377.88 15076.85 14780.97 16986.84 14562.36 18986.52 14588.77 16071.13 12875.34 14586.66 15954.07 18491.10 18062.72 17379.57 15889.45 155
FMVSNet278.20 14077.21 14381.20 16487.60 13262.89 18687.47 11489.02 14471.63 12375.29 14987.28 14054.80 17591.10 18062.38 17779.38 16189.61 154
nrg03083.88 4583.53 4584.96 5786.77 14769.28 6590.46 3892.67 3474.79 7582.95 5091.33 6372.70 2493.09 13080.79 4379.28 16292.50 66
VPA-MVSNet80.60 9080.55 7980.76 17288.07 11960.80 20186.86 13591.58 7175.67 6580.24 7089.45 10163.34 8590.25 19370.51 12479.22 16391.23 95
F-COLMAP76.38 17574.33 18182.50 13389.28 8966.95 10688.41 8389.03 14364.05 20366.83 23388.61 11646.78 22092.89 13657.48 21578.55 16487.67 194
FMVSNet177.44 16476.12 16081.40 16186.81 14663.01 18288.39 8489.28 13670.49 13774.39 15987.28 14049.06 21191.11 17760.91 19078.52 16590.09 138
MDTV_nov1_ep1369.97 21183.18 20953.48 25777.10 24280.18 24160.45 23069.33 21080.44 24248.89 21286.90 22351.60 23878.51 166
CVMVSNet72.99 20372.58 19274.25 23684.28 17250.85 26886.41 14883.45 21144.56 28173.23 16587.54 13549.38 20785.70 23265.90 15578.44 16786.19 221
tpm273.26 19971.46 19978.63 19783.34 20456.71 23680.65 21780.40 23756.63 25773.55 16282.02 22351.80 19891.24 17456.35 22278.42 16887.95 190
CostFormer75.24 18773.90 18579.27 19082.65 22258.27 21980.80 21482.73 21861.57 22575.33 14883.13 20955.52 17291.07 18364.98 16378.34 16988.45 183
ACMH67.68 1675.89 18073.93 18481.77 14688.71 10466.61 10788.62 7689.01 14669.81 14466.78 23486.70 15741.95 24691.51 16955.64 22478.14 17087.17 206
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CR-MVSNet73.37 19671.27 20279.67 18681.32 23665.19 13475.92 24680.30 23859.92 23672.73 17081.19 23452.50 19086.69 22459.84 19677.71 17187.11 209
RPMNet71.62 21068.94 21779.67 18681.32 23665.19 13475.92 24678.30 25057.60 25172.73 17076.45 26352.30 19386.69 22448.14 25277.71 17187.11 209
tpmp4_e2373.45 19571.17 20480.31 17883.55 20059.56 20981.88 20782.33 22157.94 24970.51 19281.62 23251.19 20391.63 16753.96 22977.51 17389.75 152
v780.24 10179.26 10483.15 10384.07 18864.94 14087.56 11090.67 9172.26 11678.28 9486.51 16761.45 12894.03 8475.14 8677.41 17490.49 123
DWT-MVSNet_test73.70 19371.86 19679.21 19282.91 21658.94 21282.34 20482.17 22365.21 19271.05 18878.31 25444.21 23290.17 19563.29 17177.28 17588.53 182
v114480.03 10879.03 10883.01 11183.78 19664.51 15087.11 12890.57 9671.96 12078.08 10486.20 17461.41 12993.94 8774.93 8777.23 17690.60 115
WR-MVS79.49 11879.22 10680.27 17988.79 10258.35 21785.06 17088.61 16178.56 2477.65 11088.34 12363.81 8390.66 18964.98 16377.22 17791.80 84
v119279.59 11578.43 12183.07 10883.55 20064.52 14886.93 13390.58 9570.83 13277.78 10885.90 17759.15 15193.94 8773.96 9477.19 17890.76 105
VPNet78.69 13378.66 11378.76 19688.31 11555.72 24784.45 18386.63 18276.79 4578.26 9890.55 7859.30 15089.70 19966.63 14977.05 17990.88 102
v1neww80.40 9579.54 9182.98 11384.10 18264.51 15087.57 10790.22 11073.25 9478.47 8786.65 16062.83 9893.86 9375.72 7777.02 18090.58 118
v7new80.40 9579.54 9182.98 11384.10 18264.51 15087.57 10790.22 11073.25 9478.47 8786.65 16062.83 9893.86 9375.72 7777.02 18090.58 118
v680.40 9579.54 9182.98 11384.09 18464.50 15387.57 10790.22 11073.25 9478.47 8786.63 16262.84 9793.86 9375.73 7677.02 18090.58 118
v124078.99 12977.78 13482.64 13283.21 20763.54 17086.62 14390.30 10869.74 14877.33 11585.68 18257.04 16593.76 10273.13 10176.92 18390.62 113
MSDG73.36 19870.99 20580.49 17484.51 17065.80 11980.71 21686.13 19065.70 19065.46 24283.74 20444.60 23090.91 18551.13 24076.89 18484.74 237
IterMVS-LS80.06 10779.38 9782.11 13985.89 15363.20 18086.79 13889.34 13474.19 8075.45 14186.72 15366.62 6092.39 14772.58 10776.86 18590.75 106
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v192192079.22 12478.03 12882.80 12583.30 20663.94 16786.80 13790.33 10669.91 14377.48 11385.53 18758.44 15593.75 10373.60 9876.85 18690.71 108
XXY-MVS75.41 18575.56 17074.96 22983.59 19957.82 22680.59 21983.87 20866.54 18374.93 15588.31 12463.24 8880.09 25362.16 18076.85 18686.97 211
v114180.19 10479.31 10082.85 12183.84 19364.12 16287.14 12390.08 11773.13 9778.27 9586.39 16962.67 10793.75 10375.40 8376.83 18890.68 109
divwei89l23v2f11280.19 10479.31 10082.85 12183.84 19364.11 16487.13 12690.08 11773.13 9778.27 9586.39 16962.69 10593.75 10375.40 8376.82 18990.68 109
v180.19 10479.31 10082.85 12183.83 19564.12 16287.14 12390.07 11973.13 9778.27 9586.38 17162.72 10493.75 10375.41 8276.82 18990.68 109
v2v48280.23 10279.29 10383.05 10983.62 19864.14 16087.04 13089.97 12073.61 8878.18 10187.22 14461.10 13593.82 9676.11 7276.78 19191.18 96
v14419279.47 11978.37 12282.78 12883.35 20363.96 16686.96 13290.36 10469.99 14277.50 11285.67 18360.66 14193.77 10174.27 9176.58 19290.62 113
UniMVSNet (Re)81.60 7581.11 7383.09 10688.38 11464.41 15787.60 10593.02 2178.42 2678.56 8588.16 12669.78 4293.26 12069.58 13176.49 19391.60 85
UniMVSNet_NR-MVSNet81.88 7081.54 6882.92 11788.46 11163.46 17287.13 12692.37 4280.19 1278.38 9189.14 10571.66 3193.05 13170.05 12676.46 19492.25 73
DU-MVS81.12 8180.52 8082.90 11887.80 12763.46 17287.02 13191.87 6079.01 2178.38 9189.07 10665.02 7493.05 13170.05 12676.46 19492.20 74
PatchmatchNetpermissive73.12 20171.33 20178.49 20183.18 20960.85 20079.63 22478.57 24864.13 20271.73 18279.81 24951.20 20285.97 23157.40 21776.36 19688.66 170
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
USDC70.33 22168.37 22076.21 22280.60 24256.23 24379.19 22986.49 18360.89 22861.29 25685.47 18931.78 27289.47 20253.37 23276.21 19782.94 253
OpenMVS_ROBcopyleft64.09 1970.56 21968.19 22277.65 20980.26 24459.41 21185.01 17182.96 21658.76 24365.43 24382.33 21637.63 26191.23 17545.34 26276.03 19882.32 254
ACMH+68.96 1476.01 17974.01 18382.03 14188.60 10665.31 13188.86 6787.55 17470.25 14067.75 22587.47 13741.27 24793.19 12458.37 20975.94 19987.60 196
PatchFormer-LS_test74.50 18873.05 18978.86 19582.95 21559.55 21081.65 21182.30 22267.44 17671.62 18478.15 25652.34 19288.92 21365.05 16275.90 20088.12 188
tpm72.37 20871.71 19874.35 23582.19 22752.00 26079.22 22877.29 25464.56 19872.95 16883.68 20651.35 20183.26 24358.33 21075.80 20187.81 193
Anonymous2023120668.60 22967.80 23071.02 25080.23 24650.75 26978.30 23680.47 23556.79 25666.11 24082.63 21446.35 22178.95 25743.62 26575.70 20283.36 246
v7n78.97 13077.58 13883.14 10483.45 20265.51 12488.32 8791.21 8173.69 8772.41 17486.32 17257.93 15893.81 9769.18 13375.65 20390.11 136
NR-MVSNet80.23 10279.38 9782.78 12887.80 12763.34 17586.31 15091.09 8579.01 2172.17 17689.07 10667.20 5792.81 13866.08 15475.65 20392.20 74
v1079.74 11378.67 11282.97 11684.06 18964.95 13987.88 10290.62 9473.11 10075.11 15286.56 16561.46 12794.05 8373.68 9575.55 20589.90 145
IB-MVS68.01 1575.85 18173.36 18783.31 9784.76 16666.03 11383.38 20085.06 19870.21 14169.40 20781.05 23745.76 22694.66 6765.10 16175.49 20689.25 157
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
V4279.38 12278.24 12682.83 12481.10 23865.50 12585.55 16589.82 12471.57 12678.21 9986.12 17560.66 14193.18 12575.64 8075.46 20789.81 150
v879.97 10979.02 10982.80 12584.09 18464.50 15387.96 9790.29 10974.13 8375.24 15086.81 15062.88 9593.89 9274.39 9075.40 20890.00 144
Baseline_NR-MVSNet78.15 14278.33 12477.61 21085.79 15456.21 24486.78 13985.76 19373.60 8977.93 10687.57 13365.02 7488.99 20867.14 14775.33 20987.63 195
EPMVS69.02 22768.16 22371.59 24479.61 25149.80 27277.40 24066.93 28762.82 21570.01 19879.05 25045.79 22577.86 26356.58 22175.26 21087.13 208
TranMVSNet+NR-MVSNet80.84 8480.31 8282.42 13487.85 12562.33 19087.74 10391.33 7880.55 1077.99 10589.86 8965.23 7292.62 14067.05 14875.24 21192.30 71
COLMAP_ROBcopyleft66.92 1773.01 20270.41 20980.81 17187.13 14165.63 12188.30 8884.19 20662.96 21263.80 25287.69 13038.04 25892.56 14346.66 25574.91 21284.24 240
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PatchT68.46 23267.85 22870.29 25280.70 24143.93 28172.47 25974.88 26460.15 23470.55 19076.57 26249.94 20581.59 24750.58 24174.83 21385.34 230
ITE_SJBPF78.22 20381.77 23060.57 20283.30 21269.25 15567.54 22787.20 14536.33 26487.28 22254.34 22774.62 21486.80 213
test0.0.03 168.00 23367.69 23168.90 25677.55 26147.43 27575.70 24972.95 27666.66 17966.56 23582.29 21748.06 21475.87 26944.97 26374.51 21583.41 245
pm-mvs170.87 21569.03 21576.39 22079.41 25358.92 21380.64 21878.89 24755.71 26067.14 23183.58 20748.48 21385.25 23552.94 23574.48 21684.99 234
test_040272.79 20570.44 20879.84 18388.13 11865.99 11585.93 15984.29 20465.57 19167.40 22985.49 18846.92 21992.61 14135.88 27574.38 21780.94 260
CP-MVSNet78.22 13878.34 12377.84 20687.83 12654.54 25187.94 9991.17 8377.65 2873.48 16388.49 12062.24 11988.43 21562.19 17974.07 21890.55 121
FMVSNet569.50 22567.96 22674.15 23782.97 21455.35 24880.01 22282.12 22462.56 21863.02 25381.53 23336.92 26281.92 24648.42 25074.06 21985.17 233
MVS-HIRNet59.14 25257.67 25463.57 26681.65 23143.50 28271.73 26065.06 29039.59 28651.43 28057.73 28738.34 25782.58 24539.53 27173.95 22064.62 284
tpmrst72.39 20672.13 19573.18 24180.54 24349.91 27179.91 22379.08 24663.11 20971.69 18379.95 24655.32 17382.77 24465.66 15873.89 22186.87 212
PS-CasMVS78.01 14578.09 12777.77 20887.71 13054.39 25388.02 9591.22 8077.50 3473.26 16488.64 11560.73 13988.41 21661.88 18273.88 22290.53 122
v14878.72 13277.80 13381.47 15982.73 22061.96 19486.30 15188.08 16773.26 9376.18 13385.47 18962.46 11592.36 14971.92 11773.82 22390.09 138
WR-MVS_H78.51 13478.49 11778.56 19888.02 12156.38 24188.43 8092.67 3477.14 3773.89 16187.55 13466.25 6389.24 20558.92 20373.55 22490.06 142
testgi66.67 24066.53 23667.08 26175.62 27141.69 28675.93 24576.50 25766.11 18565.20 24686.59 16335.72 26674.71 27243.71 26473.38 22584.84 236
V477.95 14776.37 15382.67 13079.40 25465.52 12286.43 14689.94 12172.28 11472.14 17984.95 19555.72 17093.44 11673.64 9672.86 22689.05 159
v5277.94 14976.37 15382.67 13079.39 25565.52 12286.43 14689.94 12172.28 11472.15 17884.94 19655.70 17193.44 11673.64 9672.84 22789.06 158
v74877.97 14676.65 15081.92 14482.29 22663.28 17787.53 11190.35 10573.50 9270.76 18985.55 18658.28 15692.81 13868.81 13672.76 22889.67 153
tpmvs71.09 21369.29 21376.49 21982.04 22856.04 24578.92 23181.37 23064.05 20367.18 23078.28 25549.74 20689.77 19749.67 24772.37 22983.67 243
PEN-MVS77.73 15277.69 13777.84 20687.07 14253.91 25587.91 10191.18 8277.56 3273.14 16688.82 11161.23 13389.17 20659.95 19572.37 22990.43 126
DSMNet-mixed57.77 25656.90 25660.38 26967.70 28835.61 29369.18 27053.97 29432.30 29357.49 26879.88 24740.39 25268.57 28638.78 27272.37 22976.97 273
tpm cat170.57 21868.31 22177.35 21382.41 22557.95 22478.08 23780.22 24052.04 27368.54 22077.66 25952.00 19787.84 22051.77 23772.07 23286.25 220
RPSCF73.23 20071.46 19978.54 19982.50 22459.85 20682.18 20682.84 21758.96 24171.15 18789.41 10345.48 22984.77 23758.82 20571.83 23391.02 99
IterMVS74.29 18972.94 19078.35 20281.53 23263.49 17181.58 21282.49 21968.06 17069.99 20183.69 20551.66 20085.54 23365.85 15671.64 23486.01 226
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
AllTest70.96 21468.09 22579.58 18885.15 16263.62 16884.58 18079.83 24262.31 22060.32 26086.73 15132.02 27088.96 21150.28 24271.57 23586.15 222
TestCases79.58 18885.15 16263.62 16879.83 24262.31 22060.32 26086.73 15132.02 27088.96 21150.28 24271.57 23586.15 222
Patchmtry70.74 21669.16 21475.49 22780.72 24054.07 25474.94 25580.30 23858.34 24570.01 19881.19 23452.50 19086.54 22653.37 23271.09 23785.87 228
test235659.50 25158.08 25163.74 26571.23 28141.88 28467.59 27672.42 27853.72 26857.65 26770.74 27426.31 27672.40 27932.03 28271.06 23876.93 274
DTE-MVSNet76.99 16876.80 14877.54 21186.24 15153.06 25987.52 11290.66 9377.08 4072.50 17288.67 11460.48 14489.52 20157.33 21870.74 23990.05 143
MIMVSNet168.58 23066.78 23473.98 23880.07 24751.82 26180.77 21584.37 20364.40 20059.75 26282.16 21936.47 26383.63 24042.73 26670.33 24086.48 219
TinyColmap67.30 23764.81 23974.76 23281.92 22956.68 23780.29 22081.49 22960.33 23156.27 27283.22 20824.77 27987.66 22145.52 26069.47 24179.95 264
OurMVSNet-221017-074.26 19072.42 19479.80 18483.76 19759.59 20785.92 16086.64 18166.39 18466.96 23287.58 13239.46 25391.60 16865.76 15769.27 24288.22 186
JIA-IIPM66.32 24262.82 24776.82 21777.09 26561.72 19665.34 28175.38 26058.04 24864.51 24862.32 28442.05 24586.51 22751.45 23969.22 24382.21 255
ADS-MVSNet266.20 24363.33 24374.82 23179.92 24858.75 21467.55 27775.19 26253.37 26965.25 24475.86 26442.32 24280.53 25141.57 26868.91 24485.18 231
ADS-MVSNet64.36 24662.88 24668.78 25879.92 24847.17 27667.55 27771.18 27953.37 26965.25 24475.86 26442.32 24273.99 27641.57 26868.91 24485.18 231
test20.0367.45 23566.95 23368.94 25575.48 27344.84 27977.50 23977.67 25166.66 17963.01 25483.80 20247.02 21878.40 25942.53 26768.86 24683.58 244
testus59.00 25357.91 25262.25 26872.25 27939.09 28969.74 26675.02 26353.04 27157.21 26973.72 26918.76 28870.33 28332.86 27868.57 24777.35 271
EU-MVSNet68.53 23167.61 23271.31 24978.51 26047.01 27784.47 18184.27 20542.27 28266.44 23884.79 19840.44 25183.76 23858.76 20668.54 24883.17 247
v1677.69 15376.36 15681.68 15284.15 17964.63 14787.33 11788.99 14872.69 11169.31 21182.08 22062.80 10191.79 15772.70 10567.23 24988.63 172
v1877.67 15676.35 15781.64 15484.09 18464.47 15587.27 12089.01 14672.59 11269.39 20882.04 22262.85 9691.80 15672.72 10467.20 25088.63 172
v1777.68 15476.35 15781.69 15184.15 17964.65 14587.33 11788.99 14872.70 11069.25 21282.07 22162.82 10091.79 15772.69 10667.15 25188.63 172
v1177.45 16376.06 16681.59 15784.22 17564.52 14887.11 12889.02 14472.76 10868.76 21581.90 23062.09 12191.71 16471.98 11566.73 25288.56 180
LF4IMVS64.02 24762.19 24869.50 25470.90 28253.29 25876.13 24377.18 25552.65 27258.59 26380.98 23923.55 28076.52 26753.06 23466.66 25378.68 267
Patchmatch-RL test68.82 22866.60 23575.47 22877.43 26259.57 20871.16 26170.33 28062.94 21368.65 21781.66 23131.06 27385.49 23469.58 13166.58 25481.34 259
dp66.80 23865.43 23870.90 25179.74 25048.82 27475.12 25374.77 26659.61 23864.08 25077.23 26042.89 23880.72 25048.86 24966.58 25483.16 248
v1577.51 16076.12 16081.66 15384.09 18464.65 14587.14 12388.96 15272.76 10868.90 21381.91 22962.74 10391.73 16072.32 11066.29 25688.61 175
V1477.52 15876.12 16081.70 15084.15 17964.77 14387.21 12288.95 15372.80 10768.79 21481.94 22862.69 10591.72 16272.31 11166.27 25788.60 176
V977.52 15876.11 16381.73 14984.19 17864.89 14187.26 12188.94 15672.87 10668.65 21781.96 22762.65 10891.72 16272.27 11266.24 25888.60 176
v1377.50 16276.07 16581.77 14684.23 17465.07 13787.34 11688.91 15872.92 10368.35 22281.97 22562.53 11391.69 16672.20 11466.22 25988.56 180
v1277.51 16076.09 16481.76 14884.22 17564.99 13887.30 11988.93 15772.92 10368.48 22181.97 22562.54 11291.70 16572.24 11366.21 26088.58 179
Patchmatch-test178.56 25958.71 21564.97 28373.71 27370.00 20080.13 24533.36 26865.60 261
FPMVS53.68 26151.64 26159.81 27065.08 28951.03 26769.48 26969.58 28341.46 28340.67 28672.32 27116.46 29070.00 28424.24 29065.42 26258.40 286
pmmvs-eth3d70.50 22067.83 22978.52 20077.37 26366.18 11281.82 20881.51 22858.90 24263.90 25180.42 24342.69 24086.28 22958.56 20765.30 26383.11 249
N_pmnet52.79 26253.26 26051.40 27978.99 2587.68 30669.52 2683.89 30351.63 27557.01 27074.98 26640.83 24965.96 28937.78 27364.67 26480.56 263
PM-MVS66.41 24164.14 24173.20 24073.92 27456.45 23978.97 23064.96 29163.88 20764.72 24780.24 24419.84 28683.44 24166.24 15064.52 26579.71 265
HyFIR lowres test51.79 26350.01 26557.11 27368.82 28649.21 27360.50 28553.26 29534.52 28943.77 28464.94 28220.34 28571.75 28139.87 27064.06 26650.39 287
SixPastTwentyTwo73.37 19671.26 20379.70 18585.08 16457.89 22585.57 16483.56 21071.03 13165.66 24185.88 17842.10 24492.57 14259.11 20263.34 26788.65 171
test123567858.74 25456.89 25764.30 26369.70 28341.87 28571.05 26274.87 26554.06 26550.63 28171.53 27325.30 27874.10 27531.80 28363.10 26876.93 274
testpf56.51 25857.58 25553.30 27671.99 28041.19 28746.89 29369.32 28558.06 24752.87 27969.45 27827.99 27572.73 27859.59 19962.07 26945.98 290
TransMVSNet (Re)75.39 18674.56 17877.86 20585.50 15957.10 23186.78 13986.09 19172.17 11871.53 18587.34 13963.01 9489.31 20456.84 22061.83 27087.17 206
MDA-MVSNet_test_wron65.03 24462.92 24471.37 24675.93 26756.73 23469.09 27274.73 26757.28 25454.03 27577.89 25745.88 22374.39 27449.89 24661.55 27182.99 252
YYNet165.03 24462.91 24571.38 24575.85 26856.60 23869.12 27174.66 27057.28 25454.12 27477.87 25845.85 22474.48 27349.95 24561.52 27283.05 250
111157.11 25756.82 25857.97 27269.10 28428.28 29868.90 27374.54 27154.01 26653.71 27674.51 26723.09 28167.90 28732.28 28061.26 27377.73 269
TDRefinement67.49 23464.34 24076.92 21673.47 27761.07 19784.86 17482.98 21559.77 23758.30 26585.13 19326.06 27787.89 21947.92 25360.59 27481.81 258
Gipumacopyleft45.18 26941.86 27055.16 27577.03 26651.52 26432.50 29680.52 23432.46 29127.12 29235.02 2949.52 29675.50 27022.31 29160.21 27538.45 292
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MDA-MVSNet-bldmvs66.68 23963.66 24275.75 22479.28 25660.56 20373.92 25778.35 24964.43 19950.13 28279.87 24844.02 23483.67 23946.10 25956.86 27683.03 251
new_pmnet50.91 26550.29 26352.78 27768.58 28734.94 29663.71 28456.63 29339.73 28544.95 28365.47 28121.93 28358.48 29134.98 27656.62 27764.92 283
LP61.36 25057.78 25372.09 24375.54 27258.53 21667.16 27975.22 26151.90 27454.13 27369.97 27637.73 26080.45 25232.74 27955.63 27877.29 272
PMVScopyleft37.38 2244.16 27040.28 27155.82 27440.82 30442.54 28365.12 28263.99 29234.43 29024.48 29357.12 2893.92 29976.17 26817.10 29355.52 27948.75 288
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
pmmvs357.79 25554.26 25968.37 25964.02 29056.72 23575.12 25365.17 28940.20 28452.93 27869.86 27720.36 28475.48 27145.45 26155.25 28072.90 278
UnsupCasMVSNet_eth67.33 23665.99 23771.37 24673.48 27651.47 26575.16 25185.19 19765.20 19360.78 25880.93 24142.35 24177.20 26557.12 21953.69 28185.44 229
K. test v371.19 21268.51 21979.21 19283.04 21357.78 22784.35 18776.91 25672.90 10562.99 25582.86 21139.27 25491.09 18261.65 18552.66 28288.75 168
UnsupCasMVSNet_bld63.70 24861.53 24970.21 25373.69 27551.39 26672.82 25881.89 22555.63 26157.81 26671.80 27238.67 25678.61 25849.26 24852.21 28380.63 261
LCM-MVSNet54.25 25949.68 26667.97 26053.73 29745.28 27866.85 28080.78 23235.96 28839.45 28862.23 2858.70 29778.06 26248.24 25151.20 28480.57 262
testmv53.85 26051.03 26262.31 26761.46 29238.88 29070.95 26574.69 26951.11 27641.26 28566.85 27914.28 29172.13 28029.19 28549.51 28575.93 276
lessismore_v078.97 19481.01 23957.15 23065.99 28861.16 25782.82 21239.12 25591.34 17259.67 19746.92 28688.43 184
test1235649.28 26748.51 26751.59 27862.06 29119.11 30360.40 28672.45 27747.60 28040.64 28765.68 28013.84 29268.72 28527.29 28746.67 28766.94 282
PVSNet_057.27 2061.67 24959.27 25068.85 25779.61 25157.44 22968.01 27573.44 27555.93 25958.54 26470.41 27544.58 23177.55 26447.01 25435.91 28871.55 279
PMMVS240.82 27138.86 27246.69 28153.84 29616.45 30448.61 29249.92 29737.49 28731.67 29060.97 2868.14 29856.42 29228.42 28630.72 28967.19 281
no-one51.08 26445.79 26966.95 26257.92 29550.49 27059.63 28876.04 25948.04 27831.85 28956.10 29019.12 28780.08 25436.89 27426.52 29070.29 280
DeepMVS_CXcopyleft27.40 28740.17 30526.90 30124.59 30217.44 29823.95 29448.61 2919.77 29526.48 29618.06 29224.47 29128.83 293
MVEpermissive26.22 2330.37 27725.89 27943.81 28244.55 30335.46 29528.87 29739.07 30018.20 29718.58 29740.18 2932.68 30047.37 29517.07 29423.78 29248.60 289
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuykxyi23d39.76 27233.18 27559.51 27146.98 30244.01 28057.70 28967.74 28624.13 29513.98 30034.33 2951.27 30271.33 28234.23 27718.23 29363.18 285
E-PMN31.77 27530.64 27635.15 28352.87 29827.67 30057.09 29047.86 29824.64 29416.40 29833.05 29611.23 29454.90 29314.46 29518.15 29422.87 294
PNet_i23d38.26 27335.42 27346.79 28058.74 29335.48 29459.65 28751.25 29632.45 29223.44 29647.53 2922.04 30158.96 29025.60 28918.09 29545.92 291
EMVS30.81 27629.65 27734.27 28450.96 30025.95 30256.58 29146.80 29924.01 29615.53 29930.68 29712.47 29354.43 29412.81 29617.05 29622.43 295
ANet_high50.57 26646.10 26863.99 26448.67 30139.13 28870.99 26480.85 23161.39 22631.18 29157.70 28817.02 28973.65 27731.22 28415.89 29779.18 266
DUST3R18.61 27921.40 28010.23 2894.82 30610.11 30534.70 29530.74 3011.48 30023.91 29526.07 29828.42 27413.41 29827.12 28815.35 2987.17 296
wuyk23d16.82 28015.94 28119.46 28858.74 29331.45 29739.22 2943.74 3046.84 2996.04 3012.70 3001.27 30224.29 29710.54 29714.40 2992.63 297
.test124545.55 26850.02 26432.14 28569.10 28428.28 29868.90 27374.54 27154.01 26653.71 27674.51 26723.09 28167.90 28732.28 2800.02 3000.25 299
testmvs6.04 2838.02 2840.10 2910.08 3070.03 30869.74 2660.04 3050.05 3010.31 3021.68 3010.02 3050.04 2990.24 2980.02 3000.25 299
test1236.12 2828.11 2830.14 2900.06 3080.09 30771.05 2620.03 3060.04 3020.25 3031.30 3020.05 3040.03 3000.21 2990.01 3020.29 298
cdsmvs_eth3d_5k19.96 27826.61 2780.00 2920.00 3090.00 3090.00 29889.26 1390.00 3030.00 30488.61 11661.62 1250.00 3010.00 3000.00 3030.00 301
pcd_1.5k_mvsjas5.26 2847.02 2850.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 30363.15 900.00 3010.00 3000.00 3030.00 301
sosnet-low-res0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
sosnet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
uncertanet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
Regformer0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
ab-mvs-re7.23 2819.64 2820.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 30486.72 1530.00 3060.00 3010.00 3000.00 3030.00 301
uanet0.00 2850.00 2860.00 2920.00 3090.00 3090.00 2980.00 3070.00 3030.00 3040.00 3030.00 3060.00 3010.00 3000.00 3030.00 301
MTAPA52.35 299
gm-plane-assit81.40 23353.83 25662.72 21780.94 24092.39 14763.40 170
TEST993.26 2772.96 1588.75 7291.89 5868.44 16785.00 2193.10 3374.36 1495.41 39
Patchmatch-test75.77 26936.09 29272.41 270
test_893.13 2972.57 2488.68 7591.84 6168.69 16384.87 2793.10 3374.43 1195.16 47
agg_prior92.85 3571.94 3291.78 6484.41 3394.93 56
test_prior472.60 2389.01 65
test_prior86.33 3892.61 4069.59 5892.97 2795.48 3493.91 25
旧先验286.56 14458.10 24687.04 1088.98 20974.07 93
新几何286.29 152
无先验87.48 11388.98 15060.00 23594.12 8067.28 14488.97 164
原ACMM286.86 135
testdata291.01 18462.37 178
segment_acmp73.08 21
testdata184.14 19175.71 63
plane_prior790.08 7068.51 83
plane_prior689.84 7568.70 7960.42 145
plane_prior491.00 71
plane_prior368.60 8178.44 2578.92 80
plane_prior291.25 2679.12 18
plane_prior189.90 74
abl_692.23 4570.48 4892.08 5085.26 1894.16 1662.75 10291.81 83
n20.00 307
nn0.00 307