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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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
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
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
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
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
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
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
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
#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
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
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
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
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
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
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
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
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
Regformer-286.63 2386.53 2186.95 2889.33 8271.24 3788.43 8092.05 5182.50 186.88 1190.09 8574.45 1095.61 3084.38 1890.63 5994.01 22
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
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
Regformer-186.41 2686.33 2286.64 3389.33 8270.93 4188.43 8091.39 7782.14 386.65 1290.09 8574.39 1395.01 5583.97 2290.63 5993.97 24
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
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
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
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
canonicalmvs85.91 3185.87 3086.04 4489.84 7469.44 6490.45 3993.00 2276.70 5088.01 791.23 6473.28 2093.91 9081.50 3888.80 7794.77 4
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
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
TSAR-MVS85.71 3485.33 3586.84 2991.34 5472.50 2589.07 6487.28 17576.41 5385.80 1490.22 8374.15 1795.37 4381.82 3691.88 4792.65 63
Regformer-485.68 3585.45 3386.35 3788.95 9469.67 5788.29 8991.29 7981.73 485.36 1790.01 8772.62 2595.35 4483.28 2687.57 9094.03 20
alignmvs85.48 3685.32 3685.96 4589.51 7869.47 6289.74 5192.47 3776.17 5987.73 991.46 6270.32 3793.78 9981.51 3788.95 7494.63 5
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 14896.75 877.20 6493.73 3895.29 1
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 3390.16 132
DELS-MVS85.41 3985.30 3785.77 4688.49 10867.93 9085.52 16793.44 978.70 2383.63 4689.03 10974.57 995.71 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
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
Regformer-385.23 4185.07 3985.70 4788.95 9469.01 6888.29 8989.91 12380.95 785.01 2090.01 8772.45 2694.19 7882.50 3587.57 9093.90 27
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
UA-Net85.08 4384.96 4085.45 4892.07 4768.07 8989.78 5090.86 8982.48 284.60 3193.20 3169.35 4595.22 4571.39 12190.88 5793.07 52
EI-MVSNet-Vis-set84.19 4483.81 4485.31 5088.18 11667.85 9187.66 10489.73 12780.05 1482.95 5089.59 9470.74 3694.82 6380.66 4484.72 11593.28 46
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
EI-MVSNet-UG-set83.81 4683.38 4785.09 5487.87 12467.53 9587.44 11589.66 12879.74 1582.23 5789.41 10470.24 3894.74 6579.95 4883.92 12092.99 57
CPTT-MVS83.73 4783.33 4884.92 6093.28 2670.86 4392.09 1990.38 10168.75 16279.57 7392.83 4160.60 14493.04 13380.92 4191.56 5190.86 103
EPNet83.72 4882.92 5286.14 4384.22 17569.48 6191.05 3085.27 19581.30 676.83 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
HQP_MVS83.64 4983.14 4985.14 5390.08 7068.71 7791.25 2692.44 3879.12 1878.92 8091.00 7160.42 14695.38 4178.71 5386.32 10391.33 92
Vis-MVSNetpermissive83.46 5082.80 5485.43 4990.25 6868.74 7690.30 4290.13 11576.33 5880.87 6792.89 3961.00 13894.20 7772.45 10990.97 5593.35 45
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MG-MVS83.41 5183.45 4683.28 9792.74 3762.28 19088.17 9389.50 13175.22 7281.49 6192.74 4566.75 5995.11 4972.85 10291.58 5092.45 67
EPP-MVSNet83.40 5283.02 5184.57 6590.13 6964.47 15392.32 1590.73 9074.45 7879.35 7691.10 6569.05 4895.12 4872.78 10387.22 9494.13 16
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_Test83.15 5483.06 5083.41 9486.86 14463.21 17786.11 15592.00 5274.31 7982.87 5289.44 10370.03 3993.21 12177.39 6388.50 8593.81 29
IS-MVSNet83.15 5482.81 5384.18 7789.94 7263.30 17491.59 2388.46 16379.04 2079.49 7492.16 4665.10 7394.28 7367.71 14191.86 4894.95 2
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 14090.14 6491.50 89
PAPM_NR83.02 5782.41 5684.82 6292.47 4366.37 10987.93 10091.80 6273.82 8677.32 11690.66 7667.90 5294.90 6070.37 12589.48 7093.19 49
VDD-MVS83.01 5882.36 5884.96 5791.02 5866.40 10888.91 6688.11 16577.57 3084.39 3593.29 3052.19 19593.91 9077.05 6688.70 7994.57 7
MVSFormer82.85 5982.05 6285.24 5287.35 13770.21 5090.50 3690.38 10168.55 16581.32 6289.47 9861.68 12493.46 11478.98 5190.26 6292.05 79
OMC-MVS82.69 6081.97 6584.85 6188.75 10267.42 9687.98 9690.87 8874.92 7479.72 7291.65 5462.19 12193.96 8575.26 8586.42 10293.16 50
PVSNet_Blended_VisFu82.62 6181.83 6684.96 5790.80 6369.76 5688.74 7491.70 6769.39 15078.96 7988.46 12265.47 7094.87 6274.42 8988.57 8290.24 130
MVS_111021_LR82.61 6282.11 6084.11 7888.82 9871.58 3585.15 16986.16 18874.69 7680.47 6991.04 6862.29 11890.55 18880.33 4690.08 6590.20 131
HQP-MVS82.61 6282.02 6384.37 7089.33 8266.98 10389.17 5992.19 4776.41 5377.23 11990.23 8260.17 14995.11 4977.47 6185.99 10791.03 97
CLD-MVS82.31 6481.65 6784.29 7488.47 10967.73 9485.81 16392.35 4375.78 6278.33 9386.58 16464.01 8094.35 7176.05 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
VNet82.21 6582.41 5681.62 15490.82 6260.93 19684.47 18189.78 12576.36 5784.07 3991.88 5264.71 7690.26 19070.68 12288.89 7593.66 30
LPG-MVS_test82.08 6681.27 7084.50 6789.23 9068.76 7490.22 4391.94 5675.37 6976.64 12891.51 5954.29 18194.91 5878.44 5583.78 12189.83 147
FIs82.07 6782.42 5581.04 16788.80 10058.34 21688.26 9193.49 876.93 4378.47 8791.04 6869.92 4192.34 14969.87 12984.97 11192.44 68
PS-MVSNAJss82.07 6781.31 6984.34 7386.51 14967.27 10089.27 5791.51 7371.75 12179.37 7590.22 8363.15 9094.27 7477.69 5982.36 13591.49 90
API-MVS81.99 6981.23 7184.26 7590.94 5970.18 5291.10 2989.32 13571.51 12778.66 8488.28 12665.26 7195.10 5264.74 16691.23 5487.51 198
UniMVSNet_NR-MVSNet81.88 7081.54 6882.92 11688.46 11063.46 17087.13 12692.37 4280.19 1278.38 9189.14 10671.66 3193.05 13170.05 12676.46 19492.25 73
MAR-MVS81.84 7180.70 7685.27 5191.32 5571.53 3689.82 4890.92 8769.77 14578.50 8686.21 17362.36 11794.52 7065.36 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
LFMVS81.82 7281.23 7183.57 9191.89 5063.43 17289.84 4781.85 22677.04 4183.21 4793.10 3352.26 19493.43 11871.98 11589.95 6793.85 28
PS-MVSNAJ81.69 7381.02 7483.70 8889.51 7868.21 8784.28 18890.09 11670.79 13381.26 6485.62 18563.15 9094.29 7275.62 8188.87 7688.59 178
PAPR81.66 7480.89 7583.99 8390.27 6764.00 16386.76 14191.77 6668.84 16177.13 12389.50 9567.63 5494.88 6167.55 14288.52 8493.09 51
UniMVSNet (Re)81.60 7581.11 7383.09 10588.38 11364.41 15587.60 10593.02 2178.42 2678.56 8588.16 12769.78 4293.26 12069.58 13176.49 19391.60 85
FC-MVSNet-test81.52 7682.02 6380.03 18088.42 11255.97 24587.95 9893.42 1077.10 3977.38 11490.98 7369.96 4091.79 15668.46 13984.50 11692.33 70
VDDNet81.52 7680.67 7784.05 8190.44 6564.13 15989.73 5285.91 19171.11 12983.18 4893.48 2550.54 20493.49 11373.40 9988.25 8794.54 8
ACMP74.13 681.51 7880.57 7884.36 7189.42 8068.69 8089.97 4691.50 7574.46 7775.04 15490.41 7953.82 18694.54 6877.56 6082.91 12789.86 146
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
jason81.39 7980.29 8384.70 6486.63 14869.90 5485.95 15886.77 17963.24 20881.07 6689.47 9861.08 13792.15 15278.33 5890.07 6692.05 79
jason: jason.
lupinMVS81.39 7980.27 8484.76 6387.35 13770.21 5085.55 16586.41 18362.85 21481.32 6288.61 11761.68 12492.24 15178.41 5790.26 6291.83 81
DU-MVS81.12 8180.52 8082.90 11787.80 12763.46 17087.02 13191.87 6079.01 2178.38 9189.07 10765.02 7493.05 13170.05 12676.46 19492.20 74
PVSNet_Blended80.98 8280.34 8182.90 11788.85 9665.40 12484.43 18492.00 5267.62 17378.11 10285.05 19466.02 6794.27 7471.52 11989.50 6989.01 161
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 16988.76 7890.66 112
liao80.84 8479.77 8884.05 8193.11 3170.78 4484.66 17685.42 19457.37 25281.76 6092.02 4863.41 8494.12 8067.28 14592.93 4087.26 204
TranMVSNet+NR-MVSNet80.84 8480.31 8282.42 13387.85 12562.33 18887.74 10391.33 7880.55 1077.99 10589.86 8965.23 7292.62 14067.05 14975.24 21192.30 71
UGNet80.83 8679.59 9084.54 6688.04 12068.09 8889.42 5588.16 16476.95 4276.22 13289.46 10049.30 20993.94 8768.48 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
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 14191.26 17176.94 6781.58 14191.83 81
ACMM73.20 880.78 8879.84 8783.58 9089.31 8768.37 8389.99 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
114514_t80.68 8979.51 9484.20 7694.09 1867.27 10089.64 5391.11 8458.75 24374.08 16090.72 7558.10 15795.04 5469.70 13089.42 7190.30 129
VPA-MVSNet80.60 9080.55 7980.76 17188.07 11960.80 19986.86 13591.58 7175.67 6580.24 7089.45 10263.34 8590.25 19170.51 12479.22 16391.23 95
PVSNet_BlendedMVS80.60 9080.02 8582.36 13588.85 9665.40 12486.16 15392.00 5269.34 15378.11 10286.09 17666.02 6794.27 7471.52 11982.06 13687.39 200
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 8687.50 199
EI-MVSNet80.52 9379.98 8682.12 13784.28 17263.19 17986.41 14888.95 15374.18 8178.69 8287.54 13666.62 6092.43 14572.57 10880.57 15190.74 107
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 16975.71 7983.47 12391.54 87
v1neww80.40 9579.54 9182.98 11284.10 18264.51 14887.57 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 11284.10 18264.51 14887.57 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 11284.09 18464.50 15187.57 10790.22 11073.25 9478.47 8786.63 16262.84 9793.86 9375.73 7677.02 18090.58 118
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 18688.22 8890.94 101
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
X-MVStestdata80.37 9977.83 13288.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4412.47 29767.45 5596.60 1483.06 2894.50 2894.07 18
test_djsdf80.30 10079.32 9983.27 9883.98 19065.37 12790.50 3690.38 10168.55 16576.19 13388.70 11356.44 16793.46 11478.98 5180.14 15790.97 100
v780.24 10179.26 10483.15 10284.07 18864.94 13887.56 11090.67 9172.26 11678.28 9486.51 16761.45 12994.03 8475.14 8677.41 17490.49 123
v2v48280.23 10279.29 10383.05 10883.62 19864.14 15887.04 13089.97 12073.61 8878.18 10187.22 14561.10 13693.82 9676.11 7276.78 19191.18 96
NR-MVSNet80.23 10279.38 9782.78 12787.80 12763.34 17386.31 15091.09 8579.01 2172.17 17689.07 10767.20 5792.81 13866.08 15575.65 20392.20 74
v114180.19 10479.31 10082.85 12083.84 19364.12 16087.14 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 12083.84 19364.11 16287.13 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 12083.83 19564.12 16087.14 12390.07 11973.13 9778.27 9586.38 17162.72 10493.75 10375.41 8276.82 18990.68 109
IterMVS-LS80.06 10779.38 9782.11 13885.89 15363.20 17886.79 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.
v114480.03 10879.03 10883.01 11083.78 19664.51 14887.11 12890.57 9671.96 12078.08 10486.20 17461.41 13093.94 8774.93 8777.23 17690.60 115
v879.97 10979.02 10982.80 12484.09 18464.50 15187.96 9790.29 10974.13 8375.24 15086.81 15062.88 9593.89 9274.39 9075.40 20890.00 143
DI_MVS_test_dynamic79.89 11078.58 11683.85 8782.89 21765.32 12886.12 15489.55 13069.64 14970.55 19085.82 18157.24 16293.81 9776.85 6888.55 8392.41 69
DI_MVS_test_normal79.81 11178.45 11883.89 8682.70 22165.40 12485.82 16289.48 13269.39 15070.12 19785.66 18457.15 16493.71 10877.08 6588.62 8192.56 65
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
v1079.74 11378.67 11282.97 11584.06 18964.95 13787.88 10290.62 9473.11 10075.11 15286.56 16561.46 12894.05 8373.68 9575.55 20589.90 144
BH-RMVSNet79.61 11478.44 12083.14 10389.38 8165.93 11484.95 17287.15 17673.56 9078.19 10089.79 9056.67 16693.36 11959.53 19986.74 9990.13 134
v119279.59 11578.43 12183.07 10783.55 20064.52 14686.93 13390.58 9570.83 13277.78 10885.90 17759.15 15293.94 8773.96 9477.19 17890.76 105
diffmvs79.51 11678.59 11582.25 13683.31 20562.66 18584.17 18988.11 16567.64 17176.09 13787.47 13864.01 8091.15 17471.71 11884.82 11492.94 58
ab-mvs79.51 11678.97 11081.14 16588.46 11060.91 19783.84 19489.24 14070.36 13879.03 7888.87 11163.23 8990.21 19265.12 16182.57 13392.28 72
WR-MVS79.49 11879.22 10680.27 17888.79 10158.35 21585.06 17088.61 16178.56 2477.65 11088.34 12463.81 8390.66 18764.98 16477.22 17791.80 84
v14419279.47 11978.37 12282.78 12783.35 20363.96 16486.96 13290.36 10469.99 14277.50 11285.67 18360.66 14293.77 10174.27 9176.58 19290.62 113
BH-untuned79.47 11978.60 11482.05 13989.19 9265.91 11586.07 15688.52 16272.18 11775.42 14287.69 13161.15 13593.54 11160.38 19286.83 9886.70 216
mvs_anonymous79.42 12179.11 10780.34 17584.45 17157.97 22282.59 20387.62 17367.40 17776.17 13688.56 12068.47 5089.59 19870.65 12386.05 10693.47 42
V4279.38 12278.24 12682.83 12381.10 23765.50 12385.55 16589.82 12471.57 12678.21 9986.12 17560.66 14293.18 12575.64 8075.46 20789.81 149
jajsoiax79.29 12377.96 12983.27 9884.68 16866.57 10789.25 5890.16 11469.20 15675.46 14089.49 9645.75 22793.13 12876.84 6980.80 14790.11 135
v192192079.22 12478.03 12882.80 12483.30 20663.94 16586.80 13790.33 10669.91 14377.48 11385.53 18758.44 15593.75 10373.60 9876.85 18690.71 108
TAPA-MVS73.13 979.15 12577.94 13082.79 12689.59 7762.99 18388.16 9491.51 7365.77 18977.14 12291.09 6660.91 13993.21 12150.26 24287.05 9692.17 76
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
mvs_tets79.13 12677.77 13583.22 10084.70 16766.37 10989.17 5990.19 11369.38 15275.40 14389.46 10044.17 23393.15 12676.78 7080.70 14990.14 133
CDS-MVSNet79.07 12777.70 13683.17 10187.60 13268.23 8684.40 18686.20 18767.49 17576.36 13086.54 16661.54 12790.79 18561.86 18387.33 9390.49 123
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSTER79.01 12877.88 13182.38 13483.07 21164.80 14084.08 19388.95 15369.01 15978.69 8287.17 14754.70 17892.43 14574.69 8880.57 15189.89 145
v124078.99 12977.78 13482.64 13183.21 20763.54 16886.62 14390.30 10869.74 14877.33 11585.68 18257.04 16593.76 10273.13 10176.92 18390.62 113
v7n78.97 13077.58 13883.14 10383.45 20265.51 12288.32 8791.21 8173.69 8772.41 17486.32 17257.93 15893.81 9769.18 13375.65 20390.11 135
TAMVS78.89 13177.51 13983.03 10987.80 12767.79 9384.72 17585.05 19867.63 17276.75 12587.70 13062.25 11990.82 18458.53 20687.13 9590.49 123
v14878.72 13277.80 13381.47 15882.73 22061.96 19286.30 15188.08 16773.26 9376.18 13485.47 18962.46 11592.36 14871.92 11773.82 22390.09 137
VPNet78.69 13378.66 11378.76 19588.31 11455.72 24684.45 18386.63 18176.79 4578.26 9890.55 7859.30 15189.70 19766.63 15077.05 17990.88 102
WR-MVS_H78.51 13478.49 11778.56 19788.02 12156.38 24088.43 8092.67 3477.14 3773.89 16187.55 13566.25 6389.24 20358.92 20273.55 22490.06 141
GBi-Net78.40 13577.40 14081.40 16087.60 13263.01 18088.39 8489.28 13671.63 12375.34 14587.28 14154.80 17591.11 17562.72 17379.57 15890.09 137
test178.40 13577.40 14081.40 16087.60 13263.01 18088.39 8489.28 13671.63 12375.34 14587.28 14154.80 17591.11 17562.72 17379.57 15890.09 137
Vis-MVSNet (Re-imp)78.36 13778.45 11878.07 20388.64 10451.78 26086.70 14279.63 24374.14 8275.11 15290.83 7461.29 13389.75 19658.10 21091.60 4992.69 62
CP-MVSNet78.22 13878.34 12377.84 20587.83 12654.54 25087.94 9991.17 8377.65 2873.48 16388.49 12162.24 12088.43 21362.19 17974.07 21890.55 121
BH-w/o78.21 13977.33 14280.84 16988.81 9965.13 13484.87 17387.85 17069.75 14674.52 15884.74 19961.34 13193.11 12958.24 20985.84 10984.27 239
FMVSNet278.20 14077.21 14381.20 16387.60 13262.89 18487.47 11489.02 14471.63 12375.29 14987.28 14154.80 17591.10 17862.38 17779.38 16189.61 153
HC-MVS78.19 14176.99 14681.78 14485.66 15666.99 10284.66 17690.47 9955.08 26172.02 18085.27 19263.83 8294.11 8266.10 15489.80 6884.24 240
Baseline_NR-MVSNet78.15 14278.33 12477.61 20985.79 15456.21 24386.78 13985.76 19273.60 8977.93 10687.57 13465.02 7488.99 20667.14 14875.33 20987.63 195
CNLPA78.08 14376.79 15081.97 14190.40 6671.07 3987.59 10684.55 20166.03 18872.38 17589.64 9357.56 16086.04 22859.61 19783.35 12488.79 167
PLCcopyleft70.83 1178.05 14476.37 15483.08 10691.88 5167.80 9288.19 9289.46 13364.33 20169.87 20488.38 12353.66 18793.58 11058.86 20382.73 13087.86 192
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PS-CasMVS78.01 14578.09 12777.77 20787.71 13054.39 25288.02 9591.22 8077.50 3473.26 16488.64 11660.73 14088.41 21461.88 18273.88 22290.53 122
v74877.97 14676.65 15181.92 14382.29 22663.28 17587.53 11190.35 10573.50 9270.76 18985.55 18658.28 15692.81 13868.81 13672.76 22889.67 152
V477.95 14776.37 15482.67 12979.40 25365.52 12086.43 14689.94 12172.28 11472.14 17984.95 19555.72 17093.44 11673.64 9672.86 22689.05 159
HY-MVS69.67 1277.95 14777.15 14580.36 17487.57 13660.21 20383.37 20187.78 17166.11 18575.37 14487.06 14963.27 8790.48 18961.38 18782.43 13490.40 128
v5277.94 14976.37 15482.67 12979.39 25465.52 12086.43 14689.94 12172.28 11472.15 17884.94 19655.70 17193.44 11673.64 9672.84 22789.06 158
FMVSNet377.88 15076.85 14880.97 16886.84 14562.36 18786.52 14588.77 16071.13 12875.34 14586.66 15954.07 18491.10 17862.72 17379.57 15889.45 155
Test477.83 15175.90 16883.62 8980.24 24465.25 13085.27 16890.67 9169.03 15866.48 23783.75 20343.07 23793.00 13475.93 7588.66 8092.62 64
PEN-MVS77.73 15277.69 13777.84 20587.07 14253.91 25487.91 10191.18 8277.56 3273.14 16688.82 11261.23 13489.17 20459.95 19472.37 22990.43 126
v1677.69 15376.36 15781.68 15184.15 17964.63 14587.33 11788.99 14872.69 11169.31 21182.08 22062.80 10191.79 15672.70 10567.23 24988.63 172
v1777.68 15476.35 15881.69 15084.15 17964.65 14387.33 11788.99 14872.70 11069.25 21282.07 22162.82 10091.79 15672.69 10667.15 25188.63 172
PAPM77.68 15476.40 15381.51 15787.29 13961.85 19383.78 19589.59 12964.74 19671.23 18688.70 11362.59 11093.66 10952.66 23487.03 9789.01 161
v1877.67 15676.35 15881.64 15384.09 18464.47 15387.27 12089.01 14672.59 11269.39 20882.04 22262.85 9691.80 15572.72 10467.20 25088.63 172
V1477.52 15776.12 16181.70 14984.15 17964.77 14187.21 12288.95 15372.80 10768.79 21481.94 22862.69 10591.72 16172.31 11166.27 25788.60 176
V977.52 15776.11 16481.73 14884.19 17864.89 13987.26 12188.94 15672.87 10668.65 21781.96 22762.65 10891.72 16172.27 11266.24 25888.60 176
v1577.51 15976.12 16181.66 15284.09 18464.65 14387.14 12388.96 15272.76 10868.90 21381.91 22962.74 10391.73 15972.32 11066.29 25688.61 175
v1277.51 15976.09 16581.76 14784.22 17564.99 13687.30 11988.93 15772.92 10368.48 22181.97 22562.54 11291.70 16472.24 11366.21 26088.58 179
v1377.50 16176.07 16681.77 14584.23 17465.07 13587.34 11688.91 15872.92 10368.35 22281.97 22562.53 11391.69 16572.20 11466.22 25988.56 180
HyFIR77.49 16277.16 14478.47 20088.18 11658.04 21975.75 24784.17 20660.53 22976.25 13189.49 9662.42 11687.81 21968.64 13789.00 7389.56 154
v1177.45 16376.06 16781.59 15684.22 17564.52 14687.11 12889.02 14472.76 10868.76 21581.90 23062.09 12291.71 16371.98 11566.73 25288.56 180
FMVSNet177.44 16476.12 16181.40 16086.81 14663.01 18088.39 8489.28 13670.49 13774.39 15987.28 14149.06 21191.11 17560.91 18978.52 16590.09 137
TR-MVS77.44 16476.18 16081.20 16388.24 11563.24 17684.61 17986.40 18467.55 17477.81 10786.48 16854.10 18393.15 12657.75 21282.72 13187.20 205
1112_ss77.40 16676.43 15280.32 17689.11 9360.41 20283.65 19687.72 17262.13 22173.05 16786.72 15362.58 11189.97 19462.11 18180.80 14790.59 117
LCM-MVSNet-Re77.05 16776.94 14777.36 21187.20 14051.60 26180.06 22080.46 23575.20 7367.69 22686.72 15362.48 11488.98 20763.44 17089.25 7291.51 88
DTE-MVSNet76.99 16876.80 14977.54 21086.24 15153.06 25787.52 11290.66 9377.08 4072.50 17288.67 11560.48 14589.52 19957.33 21670.74 23990.05 142
LS3D76.95 16974.82 17583.37 9590.45 6467.36 9989.15 6386.94 17861.87 22369.52 20690.61 7751.71 19994.53 6946.38 25686.71 10088.21 187
GA-MVS76.87 17075.17 17381.97 14182.75 21962.58 18681.44 21286.35 18672.16 11974.74 15682.89 21046.20 22292.02 15468.85 13581.09 14491.30 94
DP-MVS76.78 17174.57 17783.42 9293.29 2569.46 6388.55 7983.70 20963.98 20570.20 19488.89 11054.01 18594.80 6446.66 25381.88 13986.01 226
cascas76.72 17274.64 17682.99 11185.78 15565.88 11682.33 20589.21 14160.85 22872.74 16981.02 23847.28 21793.75 10367.48 14385.02 11089.34 156
liao176.53 17375.30 17280.21 17983.93 19162.32 18984.66 17688.81 15960.23 23370.16 19684.07 20055.30 17490.73 18667.37 14483.21 12687.59 197
Test_1112_low_res76.40 17475.44 17179.27 18989.28 8858.09 21881.69 20987.07 17759.53 23972.48 17386.67 15861.30 13289.33 20160.81 19180.15 15690.41 127
F-COLMAP76.38 17574.33 18182.50 13289.28 8866.95 10588.41 8389.03 14364.05 20366.83 23388.61 11746.78 22092.89 13657.48 21378.55 16487.67 194
LTVRE_ROB69.57 1376.25 17674.54 17981.41 15988.60 10564.38 15679.24 22689.12 14270.76 13469.79 20587.86 12849.09 21093.20 12356.21 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
MVP-PatchMatch76.12 17774.46 18081.13 16685.37 16069.79 5584.42 18587.95 16965.03 19567.46 22885.33 19153.28 18991.73 15958.01 21183.27 12581.85 256
XVG-ACMP-BASELINE76.11 17874.27 18281.62 15483.20 20864.67 14283.60 19889.75 12669.75 14671.85 18187.09 14832.78 26892.11 15369.99 12880.43 15488.09 189
ACMH+68.96 1476.01 17974.01 18382.03 14088.60 10565.31 12988.86 6787.55 17470.25 14067.75 22587.47 13841.27 24693.19 12458.37 20775.94 19987.60 196
ACMH67.68 1675.89 18073.93 18481.77 14588.71 10366.61 10688.62 7689.01 14669.81 14466.78 23486.70 15741.95 24591.51 16855.64 22278.14 17087.17 206
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IB-MVS68.01 1575.85 18173.36 18783.31 9684.76 16666.03 11183.38 20085.06 19770.21 14169.40 20781.05 23745.76 22694.66 6765.10 16275.49 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
testing_275.73 18273.34 18882.89 11977.37 26265.22 13184.10 19290.54 9769.09 15760.46 25881.15 23640.48 24992.84 13776.36 7180.54 15390.60 115
WTY-MVS75.65 18375.68 16975.57 22586.40 15056.82 23277.92 23682.40 22065.10 19476.18 13487.72 12963.13 9380.90 24760.31 19381.96 13789.00 163
EPNet_dtu75.46 18474.86 17477.23 21482.57 22354.60 24986.89 13483.09 21471.64 12266.25 23985.86 17955.99 16988.04 21654.92 22386.55 10189.05 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
XXY-MVS75.41 18575.56 17074.96 22883.59 19957.82 22580.59 21883.87 20866.54 18374.93 15588.31 12563.24 8880.09 25162.16 18076.85 18686.97 211
TransMVSNet (Re)75.39 18674.56 17877.86 20485.50 15957.10 23086.78 13986.09 19072.17 11871.53 18587.34 14063.01 9489.31 20256.84 21861.83 26987.17 206
CostFormer75.24 18773.90 18579.27 18982.65 22258.27 21780.80 21382.73 21861.57 22475.33 14883.13 20955.52 17291.07 18164.98 16478.34 16988.45 183
PatchFormer-LS_test74.50 18873.05 18978.86 19482.95 21559.55 20881.65 21082.30 22267.44 17671.62 18478.15 25452.34 19288.92 21165.05 16375.90 20088.12 188
IterMVS74.29 18972.94 19078.35 20181.53 23263.49 16981.58 21182.49 21968.06 17069.99 20183.69 20551.66 20085.54 23165.85 15771.64 23486.01 226
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OurMVSNet-221017-074.26 19072.42 19479.80 18383.76 19759.59 20585.92 16086.64 18066.39 18466.96 23287.58 13339.46 25291.60 16765.76 15869.27 24288.22 186
EG-PatchMatch MVS74.04 19171.82 19780.71 17284.92 16567.42 9685.86 16188.08 16766.04 18764.22 24983.85 20135.10 26692.56 14357.44 21480.83 14682.16 255
MS-PatchMatch73.83 19272.67 19177.30 21383.87 19266.02 11281.82 20884.66 20061.37 22668.61 21982.82 21247.29 21688.21 21559.27 20084.32 11877.68 269
DWT-MVSNet_test73.70 19371.86 19679.21 19182.91 21658.94 21082.34 20482.17 22365.21 19271.05 18878.31 25244.21 23290.17 19363.29 17177.28 17588.53 182
sss73.60 19473.64 18673.51 23882.80 21855.01 24876.12 24281.69 22762.47 21874.68 15785.85 18057.32 16178.11 25960.86 19080.93 14587.39 200
tpmp4_e2373.45 19571.17 20480.31 17783.55 20059.56 20781.88 20782.33 22157.94 24870.51 19281.62 23251.19 20391.63 16653.96 22777.51 17389.75 151
SixPastTwentyTwo73.37 19671.26 20379.70 18485.08 16457.89 22485.57 16483.56 21071.03 13165.66 24185.88 17842.10 24392.57 14259.11 20163.34 26688.65 171
CR-MVSNet73.37 19671.27 20279.67 18581.32 23565.19 13275.92 24480.30 23759.92 23672.73 17081.19 23452.50 19086.69 22359.84 19577.71 17187.11 209
MSDG73.36 19870.99 20580.49 17384.51 17065.80 11780.71 21586.13 18965.70 19065.46 24283.74 20444.60 23090.91 18351.13 23876.89 18484.74 237
tpm273.26 19971.46 19978.63 19683.34 20456.71 23580.65 21680.40 23656.63 25673.55 16282.02 22351.80 19891.24 17256.35 22078.42 16887.95 190
RPSCF73.23 20071.46 19978.54 19882.50 22459.85 20482.18 20682.84 21758.96 24171.15 18789.41 10445.48 22984.77 23558.82 20471.83 23391.02 99
PatchmatchNetpermissive73.12 20171.33 20178.49 19983.18 20960.85 19879.63 22378.57 24764.13 20271.73 18279.81 24751.20 20285.97 22957.40 21576.36 19688.66 170
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
COLMAP_ROBcopyleft66.92 1773.01 20270.41 20980.81 17087.13 14165.63 11988.30 8884.19 20562.96 21263.80 25187.69 13138.04 25792.56 14346.66 25374.91 21284.24 240
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CVMVSNet72.99 20372.58 19274.25 23584.28 17250.85 26686.41 14883.45 21144.56 27973.23 16587.54 13649.38 20785.70 23065.90 15678.44 16786.19 221
test-LLR72.94 20472.43 19374.48 23281.35 23358.04 21978.38 23177.46 25166.66 17969.95 20279.00 25048.06 21479.24 25366.13 15284.83 11286.15 222
test_040272.79 20570.44 20879.84 18288.13 11865.99 11385.93 15984.29 20365.57 19167.40 22985.49 18846.92 21992.61 14135.88 27374.38 21780.94 259
tpmrst72.39 20672.13 19573.18 24080.54 24249.91 26979.91 22279.08 24563.11 20971.69 18379.95 24455.32 17382.77 24265.66 15973.89 22186.87 212
PatchMatch-RL72.38 20770.90 20676.80 21788.60 10567.38 9879.53 22476.17 25762.75 21669.36 20982.00 22445.51 22884.89 23453.62 22980.58 15078.12 267
tpm72.37 20871.71 19874.35 23482.19 22752.00 25879.22 22777.29 25364.56 19872.95 16883.68 20651.35 20183.26 24158.33 20875.80 20187.81 193
PVSNet64.34 1872.08 20970.87 20775.69 22486.21 15256.44 23974.37 25580.73 23262.06 22270.17 19582.23 21842.86 23983.31 24054.77 22484.45 11787.32 202
RPMNet71.62 21068.94 21779.67 18581.32 23565.19 13275.92 24478.30 24957.60 25072.73 17076.45 26152.30 19386.69 22348.14 25077.71 17187.11 209
test-mter71.41 21170.39 21074.48 23281.35 23358.04 21978.38 23177.46 25160.32 23269.95 20279.00 25036.08 26479.24 25366.13 15284.83 11286.15 222
K. test v371.19 21268.51 21979.21 19183.04 21357.78 22684.35 18776.91 25572.90 10562.99 25482.86 21139.27 25391.09 18061.65 18552.66 28188.75 168
tpmvs71.09 21369.29 21376.49 21882.04 22856.04 24478.92 23081.37 22964.05 20367.18 23078.28 25349.74 20689.77 19549.67 24572.37 22983.67 243
AllTest70.96 21468.09 22579.58 18785.15 16263.62 16684.58 18079.83 24162.31 21960.32 25986.73 15132.02 26988.96 20950.28 24071.57 23586.15 222
pm-mvs170.87 21569.03 21576.39 21979.41 25258.92 21180.64 21778.89 24655.71 25867.14 23183.58 20748.48 21385.25 23352.94 23374.48 21684.99 234
Patchmtry70.74 21669.16 21475.49 22680.72 23954.07 25374.94 25480.30 23758.34 24470.01 19881.19 23452.50 19086.54 22553.37 23071.09 23785.87 228
MIMVSNet70.69 21769.30 21274.88 22984.52 16956.35 24175.87 24679.42 24464.59 19767.76 22482.41 21541.10 24781.54 24646.64 25581.34 14286.75 215
tpm cat170.57 21868.31 22177.35 21282.41 22557.95 22378.08 23580.22 23952.04 27168.54 22077.66 25752.00 19787.84 21851.77 23572.07 23286.25 220
OpenMVS_ROBcopyleft64.09 1970.56 21968.19 22277.65 20880.26 24359.41 20985.01 17182.96 21658.76 24265.43 24382.33 21637.63 26091.23 17345.34 26076.03 19882.32 253
USDC70.33 22068.37 22076.21 22180.60 24156.23 24279.19 22886.49 18260.89 22761.29 25585.47 18931.78 27189.47 20053.37 23076.21 19782.94 252
CMPMVSbinary51.72 2170.19 22168.16 22376.28 22073.15 27657.55 22779.47 22583.92 20748.02 27756.48 27084.81 19743.13 23686.42 22762.67 17681.81 14084.89 235
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
gg-mvs-nofinetune69.95 22267.96 22675.94 22283.07 21154.51 25177.23 23970.29 28063.11 20970.32 19362.33 28143.62 23588.69 21253.88 22887.76 8984.62 238
TESTMET0.1,169.89 22369.00 21672.55 24179.27 25656.85 23178.38 23174.71 26757.64 24968.09 22377.19 25937.75 25876.70 26463.92 16884.09 11984.10 242
FMVSNet569.50 22467.96 22674.15 23682.97 21455.35 24780.01 22182.12 22462.56 21763.02 25281.53 23336.92 26181.92 24448.42 24874.06 21985.17 233
PMMVS69.34 22568.67 21871.35 24775.67 26862.03 19175.17 24973.46 27350.00 27568.68 21679.05 24852.07 19678.13 25861.16 18882.77 12973.90 276
EPMVS69.02 22668.16 22371.59 24379.61 25049.80 27077.40 23866.93 28662.82 21570.01 19879.05 24845.79 22577.86 26156.58 21975.26 21087.13 208
Patchmatch-RL test68.82 22766.60 23475.47 22777.43 26159.57 20671.16 26070.33 27962.94 21368.65 21781.66 23131.06 27285.49 23269.58 13166.58 25481.34 258
Anonymous2023120668.60 22867.80 22971.02 24980.23 24550.75 26778.30 23480.47 23456.79 25566.11 24082.63 21446.35 22178.95 25543.62 26375.70 20283.36 246
MIMVSNet168.58 22966.78 23373.98 23780.07 24651.82 25980.77 21484.37 20264.40 20059.75 26182.16 21936.47 26283.63 23842.73 26470.33 24086.48 219
EU-MVSNet68.53 23067.61 23171.31 24878.51 25947.01 27584.47 18184.27 20442.27 28066.44 23884.79 19840.44 25083.76 23658.76 20568.54 24883.17 247
PatchT68.46 23167.85 22870.29 25180.70 24043.93 27972.47 25874.88 26360.15 23470.55 19076.57 26049.94 20581.59 24550.58 23974.83 21385.34 230
test0.0.03 168.00 23267.69 23068.90 25577.55 26047.43 27375.70 24872.95 27566.66 17966.56 23582.29 21748.06 21475.87 26744.97 26174.51 21583.41 245
TDRefinement67.49 23364.34 23976.92 21573.47 27561.07 19584.86 17482.98 21559.77 23758.30 26485.13 19326.06 27687.89 21747.92 25160.59 27381.81 257
test20.0367.45 23466.95 23268.94 25475.48 27144.84 27777.50 23777.67 25066.66 17963.01 25383.80 20247.02 21878.40 25742.53 26568.86 24683.58 244
UnsupCasMVSNet_eth67.33 23565.99 23671.37 24573.48 27451.47 26375.16 25085.19 19665.20 19360.78 25780.93 24042.35 24077.20 26357.12 21753.69 28085.44 229
TinyColmap67.30 23664.81 23874.76 23181.92 22956.68 23680.29 21981.49 22860.33 23156.27 27183.22 20824.77 27887.66 22045.52 25869.47 24179.95 263
dp66.80 23765.43 23770.90 25079.74 24948.82 27275.12 25274.77 26559.61 23864.08 25077.23 25842.89 23880.72 24848.86 24766.58 25483.16 248
MDA-MVSNet-bldmvs66.68 23863.66 24175.75 22379.28 25560.56 20173.92 25678.35 24864.43 19950.13 28179.87 24644.02 23483.67 23746.10 25756.86 27583.03 250
testgi66.67 23966.53 23567.08 26075.62 26941.69 28475.93 24376.50 25666.11 18565.20 24686.59 16335.72 26574.71 27043.71 26273.38 22584.84 236
PM-MVS66.41 24064.14 24073.20 23973.92 27256.45 23878.97 22964.96 29063.88 20764.72 24780.24 24219.84 28583.44 23966.24 15164.52 26479.71 264
JIA-IIPM66.32 24162.82 24676.82 21677.09 26361.72 19465.34 28075.38 25958.04 24764.51 24862.32 28242.05 24486.51 22651.45 23769.22 24382.21 254
ADS-MVSNet266.20 24263.33 24274.82 23079.92 24758.75 21267.55 27675.19 26153.37 26765.25 24475.86 26242.32 24180.53 24941.57 26668.91 24485.18 231
YYNet165.03 24362.91 24471.38 24475.85 26656.60 23769.12 27074.66 26957.28 25354.12 27377.87 25645.85 22474.48 27149.95 24361.52 27183.05 249
MDA-MVSNet_test_wron65.03 24362.92 24371.37 24575.93 26556.73 23369.09 27174.73 26657.28 25354.03 27477.89 25545.88 22374.39 27249.89 24461.55 27082.99 251
ADS-MVSNet64.36 24562.88 24568.78 25779.92 24747.17 27467.55 27671.18 27853.37 26765.25 24475.86 26242.32 24173.99 27441.57 26668.91 24485.18 231
LF4IMVS64.02 24662.19 24769.50 25370.90 28053.29 25676.13 24177.18 25452.65 27058.59 26280.98 23923.55 27976.52 26553.06 23266.66 25378.68 266
UnsupCasMVSNet_bld63.70 24761.53 24870.21 25273.69 27351.39 26472.82 25781.89 22555.63 25957.81 26571.80 27038.67 25578.61 25649.26 24652.21 28280.63 260
PVSNet_057.27 2061.67 24859.27 24968.85 25679.61 25057.44 22868.01 27473.44 27455.93 25758.54 26370.41 27344.58 23177.55 26247.01 25235.91 28771.55 278
LP61.36 24957.78 25272.09 24275.54 27058.53 21467.16 27875.22 26051.90 27254.13 27269.97 27437.73 25980.45 25032.74 27755.63 27777.29 271
test235659.50 25058.08 25063.74 26471.23 27941.88 28267.59 27572.42 27753.72 26657.65 26670.74 27226.31 27572.40 27732.03 28071.06 23876.93 273
MVS-HIRNet59.14 25157.67 25363.57 26581.65 23143.50 28071.73 25965.06 28939.59 28451.43 27957.73 28538.34 25682.58 24339.53 26973.95 22064.62 283
testus59.00 25257.91 25162.25 26772.25 27739.09 28769.74 26575.02 26253.04 26957.21 26873.72 26718.76 28770.33 28132.86 27668.57 24777.35 270
test123567858.74 25356.89 25664.30 26269.70 28141.87 28371.05 26174.87 26454.06 26350.63 28071.53 27125.30 27774.10 27331.80 28163.10 26776.93 273
pmmvs357.79 25454.26 25868.37 25864.02 28856.72 23475.12 25265.17 28840.20 28252.93 27769.86 27520.36 28375.48 26945.45 25955.25 27972.90 277
DSMNet-mixed57.77 25556.90 25560.38 26867.70 28635.61 29169.18 26953.97 29332.30 29157.49 26779.88 24540.39 25168.57 28438.78 27072.37 22976.97 272
111157.11 25656.82 25757.97 27169.10 28228.28 29668.90 27274.54 27054.01 26453.71 27574.51 26523.09 28067.90 28532.28 27861.26 27277.73 268
testpf56.51 25757.58 25453.30 27571.99 27841.19 28546.89 29269.32 28458.06 24652.87 27869.45 27627.99 27472.73 27659.59 19862.07 26845.98 289
LCM-MVSNet54.25 25849.68 26567.97 25953.73 29545.28 27666.85 27980.78 23135.96 28639.45 28762.23 2838.70 29678.06 26048.24 24951.20 28380.57 261
testmv53.85 25951.03 26162.31 26661.46 29038.88 28870.95 26474.69 26851.11 27441.26 28466.85 27714.28 29072.13 27829.19 28349.51 28475.93 275
FPMVS53.68 26051.64 26059.81 26965.08 28751.03 26569.48 26869.58 28241.46 28140.67 28572.32 26916.46 28970.00 28224.24 28865.42 26258.40 285
N_pmnet52.79 26153.26 25951.40 27878.99 2577.68 30469.52 2673.89 30251.63 27357.01 26974.98 26440.83 24865.96 28737.78 27164.67 26380.56 262
HyFIR lowres test51.79 26250.01 26457.11 27268.82 28449.21 27160.50 28453.26 29434.52 28743.77 28364.94 28020.34 28471.75 27939.87 26864.06 26550.39 286
no-one51.08 26345.79 26866.95 26157.92 29350.49 26859.63 28776.04 25848.04 27631.85 28856.10 28819.12 28680.08 25236.89 27226.52 28970.29 279
new_pmnet50.91 26450.29 26252.78 27668.58 28534.94 29463.71 28356.63 29239.73 28344.95 28265.47 27921.93 28258.48 28934.98 27456.62 27664.92 282
ANet_high50.57 26546.10 26763.99 26348.67 29839.13 28670.99 26380.85 23061.39 22531.18 29057.70 28617.02 28873.65 27531.22 28215.89 29679.18 265
test1235649.28 26648.51 26651.59 27762.06 28919.11 30160.40 28572.45 27647.60 27840.64 28665.68 27813.84 29168.72 28327.29 28546.67 28666.94 281
.test124545.55 26750.02 26332.14 28469.10 28228.28 29668.90 27274.54 27054.01 26453.71 27574.51 26523.09 28067.90 28532.28 2780.02 2990.25 298
Gipumacopyleft45.18 26841.86 26955.16 27477.03 26451.52 26232.50 29580.52 23332.46 28927.12 29135.02 2929.52 29575.50 26822.31 28960.21 27438.45 291
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 26940.28 27055.82 27340.82 30142.54 28165.12 28163.99 29134.43 28824.48 29257.12 2873.92 29876.17 26617.10 29155.52 27848.75 287
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS240.82 27038.86 27146.69 28053.84 29416.45 30248.61 29149.92 29637.49 28531.67 28960.97 2848.14 29756.42 29028.42 28430.72 28867.19 280
wuykxyi23d39.76 27133.18 27459.51 27046.98 29944.01 27857.70 28867.74 28524.13 29313.98 29934.33 2931.27 30171.33 28034.23 27518.23 29263.18 284
PNet_i23d38.26 27235.42 27246.79 27958.74 29135.48 29259.65 28651.25 29532.45 29023.44 29547.53 2902.04 30058.96 28825.60 28718.09 29445.92 290
pcd1.5k->3k34.07 27335.26 27330.50 28586.92 1430.00 3070.00 29791.58 710.00 3010.00 3030.00 30156.23 1680.00 2990.00 29882.60 13291.49 90
E-PMN31.77 27430.64 27535.15 28252.87 29627.67 29857.09 28947.86 29724.64 29216.40 29733.05 29411.23 29354.90 29114.46 29318.15 29322.87 293
EMVS30.81 27529.65 27634.27 28350.96 29725.95 30056.58 29046.80 29824.01 29415.53 29830.68 29512.47 29254.43 29212.81 29417.05 29522.43 294
MVEpermissive26.22 2330.37 27625.89 27843.81 28144.55 30035.46 29328.87 29639.07 29918.20 29518.58 29640.18 2912.68 29947.37 29317.07 29223.78 29148.60 288
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
cdsmvs_eth3d_5k19.96 27726.61 2770.00 2910.00 3060.00 3070.00 29789.26 1390.00 3010.00 30388.61 11761.62 1260.00 2990.00 2980.00 3020.00 300
DUST3R18.61 27821.40 27910.23 2884.82 30310.11 30334.70 29430.74 3001.48 29823.91 29426.07 29628.42 27313.41 29627.12 28615.35 2977.17 295
wuyk23d16.82 27915.94 28019.46 28758.74 29131.45 29539.22 2933.74 3036.84 2976.04 3002.70 2981.27 30124.29 29510.54 29514.40 2982.63 296
ab-mvs-re7.23 2809.64 2810.00 2910.00 3060.00 3070.00 2970.00 3060.00 3010.00 30386.72 1530.00 3050.00 2990.00 2980.00 3020.00 300
test1236.12 2818.11 2820.14 2890.06 3050.09 30571.05 2610.03 3050.04 3000.25 3021.30 3000.05 3030.03 2980.21 2970.01 3010.29 297
testmvs6.04 2828.02 2830.10 2900.08 3040.03 30669.74 2650.04 3040.05 2990.31 3011.68 2990.02 3040.04 2970.24 2960.02 2990.25 298
pcd_1.5k_mvsjas5.26 2837.02 2840.00 2910.00 3060.00 3070.00 2970.00 3060.00 3010.00 3030.00 30163.15 900.00 2990.00 2980.00 3020.00 300
sosnet-low-res0.00 2840.00 2850.00 2910.00 3060.00 3070.00 2970.00 3060.00 3010.00 3030.00 3010.00 3050.00 2990.00 2980.00 3020.00 300
sosnet0.00 2840.00 2850.00 2910.00 3060.00 3070.00 2970.00 3060.00 3010.00 3030.00 3010.00 3050.00 2990.00 2980.00 3020.00 300
uncertanet0.00 2840.00 2850.00 2910.00 3060.00 3070.00 2970.00 3060.00 3010.00 3030.00 3010.00 3050.00 2990.00 2980.00 3020.00 300
Regformer0.00 2840.00 2850.00 2910.00 3060.00 3070.00 2970.00 3060.00 3010.00 3030.00 3010.00 3050.00 2990.00 2980.00 3020.00 300
uanet0.00 2840.00 2850.00 2910.00 3060.00 3070.00 2970.00 3060.00 3010.00 3030.00 3010.00 3050.00 2990.00 2980.00 3020.00 300
test9_res84.90 1195.70 1092.87 59
TEST993.26 2772.96 1588.75 7291.89 5868.44 16785.00 2193.10 3374.36 1495.41 39
Patchmatch-test178.56 25858.71 21364.97 28273.71 27270.00 20080.13 24333.36 26765.60 261
Patchmatch-test75.77 26736.09 29072.86 268
test_893.13 2972.57 2488.68 7591.84 6168.69 16384.87 2793.10 3374.43 1195.16 47
agg_prior282.91 3195.45 1292.70 60
agg_prior92.85 3571.94 3291.78 6484.41 3394.93 56
TestCases79.58 18785.15 16263.62 16679.83 24162.31 21960.32 25986.73 15132.02 26988.96 20950.28 24071.57 23586.15 222
test_prior472.60 2389.01 65
test_prior288.85 6875.41 6784.91 2393.54 2374.28 1583.31 2495.86 4
test_prior86.33 3892.61 4069.59 5892.97 2795.48 3493.91 25
旧先验286.56 14458.10 24587.04 1088.98 20774.07 93
新几何286.29 152
新几何183.42 9293.13 2970.71 4585.48 19357.43 25181.80 5991.98 4963.28 8692.27 15064.60 16792.99 3987.27 203
旧先验191.96 4865.79 11886.37 18593.08 3769.31 4692.74 4288.74 169
无先验87.48 11388.98 15060.00 23594.12 8067.28 14588.97 164
原ACMM286.86 135
原ACMM184.35 7293.01 3368.79 7292.44 3863.96 20681.09 6591.57 5866.06 6695.45 3667.19 14794.82 2588.81 166
test22291.50 5368.26 8584.16 19083.20 21354.63 26279.74 7191.63 5658.97 15391.42 5286.77 214
testdata291.01 18262.37 178
segment_acmp73.08 21
testdata79.97 18190.90 6064.21 15784.71 19959.27 24085.40 1692.91 3862.02 12389.08 20568.95 13491.37 5386.63 218
testdata184.14 19175.71 63
test1286.80 3092.63 3970.70 4691.79 6382.71 5571.67 3096.16 2394.50 2893.54 40
plane_prior790.08 7068.51 82
plane_prior689.84 7468.70 7960.42 146
plane_prior592.44 3895.38 4178.71 5386.32 10391.33 92
plane_prior491.00 71
plane_prior368.60 8178.44 2578.92 80
plane_prior291.25 2679.12 18
plane_prior189.90 73
plane_prior68.71 7790.38 4077.62 2986.16 105
abl_692.23 4570.48 4892.08 5085.26 1894.16 1662.75 10291.81 83
n20.00 306
nn0.00 306
door-mid69.98 281
lessismore_v078.97 19381.01 23857.15 22965.99 28761.16 25682.82 21239.12 25491.34 17059.67 19646.92 28588.43 184
LGP-MVS_train84.50 6789.23 9068.76 7491.94 5675.37 6976.64 12891.51 5954.29 18194.91 5878.44 5583.78 12189.83 147
test1192.23 44
door69.44 283
HQP5-MVS66.98 103
HQP-NCC89.33 8289.17 5976.41 5377.23 119
ACMP_Plane89.33 8289.17 5976.41 5377.23 119
BP-MVS77.47 61
HQP4-MVS77.24 11895.11 4991.03 97
HQP3-MVS92.19 4785.99 107
HQP2-MVS60.17 149