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 bysorted 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 3393.83 293.96 275.70 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 1876.43 396.84 588.48 295.99 294.34 12
SteuartSystems-ACMMP88.72 488.86 488.32 492.14 4472.96 1593.73 393.67 680.19 1288.10 594.80 273.76 1797.11 187.51 495.82 694.90 3
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS80.84 188.10 588.56 586.73 3092.24 4369.03 6489.57 5493.39 1177.53 3389.79 394.12 1678.98 196.58 1685.66 695.72 794.58 6
SD-MVS88.06 688.50 686.71 3192.60 4172.71 1991.81 2293.19 1677.87 2790.32 294.00 1974.83 893.78 9887.63 394.27 3593.65 35
NCCC88.06 688.01 788.24 594.41 1273.62 591.22 2892.83 3181.50 585.79 1593.47 2673.02 2197.00 484.90 1194.94 2094.10 17
MP-MVScopyleft87.71 887.64 887.93 1294.36 1473.88 292.71 1292.65 3677.57 3083.84 3994.40 1172.24 2796.28 2185.65 795.30 1793.62 37
APD-MVScopyleft87.44 1087.52 987.19 2394.24 1572.39 2791.86 2192.83 3173.01 10288.58 494.52 373.36 1896.49 1784.26 2095.01 1992.70 60
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HFP-MVS87.58 987.47 1087.94 1094.58 573.54 993.04 593.24 1376.78 4684.91 2194.44 870.78 3396.61 1284.53 1694.89 2293.66 30
MCST-MVS87.37 1387.25 1187.73 1594.53 772.46 2689.82 4893.82 473.07 10184.86 2692.89 3776.22 496.33 1984.89 1395.13 1894.40 10
ACMMPR87.44 1087.23 1288.08 794.64 373.59 693.04 593.20 1576.78 4684.66 2794.52 368.81 4896.65 1084.53 1694.90 2194.00 23
region2R87.42 1287.20 1388.09 694.63 473.55 793.03 793.12 1876.73 4984.45 3094.52 369.09 4696.70 984.37 1994.83 2494.03 20
#test#87.33 1487.13 1487.94 1094.58 573.54 992.34 1493.24 1375.23 7184.91 2194.44 870.78 3396.61 1283.75 2394.89 2293.66 30
HPM-MVS87.11 1686.98 1587.50 2093.88 1972.16 3092.19 1793.33 1276.07 6183.81 4093.95 2069.77 4296.01 2685.15 894.66 2694.32 13
CP-MVS87.11 1686.92 1687.68 1994.20 1773.86 393.98 192.82 3376.62 5183.68 4194.46 767.93 5095.95 2784.20 2194.39 3193.23 47
XVS87.18 1586.91 1788.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4294.17 1567.45 5496.60 1483.06 2894.50 2894.07 18
DeepC-MVS79.81 287.08 1886.88 1887.69 1891.16 5472.32 2990.31 4193.94 377.12 3882.82 5194.23 1472.13 2897.09 284.83 1495.37 1493.65 35
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_prior386.73 2086.86 1986.33 3792.61 3969.59 5688.85 6892.97 2775.41 6784.91 2193.54 2274.28 1495.48 3483.31 2495.86 493.91 25
DeepC-MVS_fast79.65 386.91 1986.62 2087.76 1493.52 2272.37 2891.26 2593.04 1976.62 5184.22 3593.36 2871.44 3196.76 780.82 4295.33 1594.16 15
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
Regformer-286.63 2386.53 2186.95 2789.33 8071.24 3688.43 7992.05 5082.50 186.88 1190.09 8374.45 1095.61 3084.38 1890.63 5994.01 22
Regformer-186.41 2586.33 2286.64 3289.33 8070.93 4088.43 7991.39 7582.14 386.65 1290.09 8374.39 1295.01 5483.97 2290.63 5993.97 24
mPP-MVS86.67 2286.32 2387.72 1794.41 1273.55 792.74 1092.22 4576.87 4482.81 5294.25 1366.44 6196.24 2282.88 3294.28 3493.38 43
PGM-MVS86.68 2186.27 2487.90 1394.22 1673.38 1290.22 4393.04 1975.53 6683.86 3894.42 1067.87 5296.64 1182.70 3394.57 2793.66 30
CSCG86.41 2586.19 2587.07 2692.91 3372.48 2590.81 3193.56 773.95 8483.16 4791.07 6575.94 595.19 4579.94 4994.38 3293.55 39
PHI-MVS86.43 2486.17 2687.24 2290.88 5970.96 3992.27 1694.07 172.45 11385.22 1891.90 4969.47 4396.42 1883.28 2695.94 394.35 11
agg_prior186.22 2786.09 2786.62 3392.85 3471.94 3188.59 7691.78 6268.96 16084.41 3193.18 3174.94 794.93 5584.75 1595.33 1593.01 56
APD-MVS_3200maxsize85.97 2985.88 2886.22 4092.69 3769.53 5891.93 2092.99 2473.54 9185.94 1394.51 665.80 6895.61 3083.04 3092.51 4593.53 41
canonicalmvs85.91 3085.87 2986.04 4389.84 7269.44 6290.45 3993.00 2276.70 5088.01 791.23 6273.28 1993.91 8981.50 3888.80 7794.77 4
agg_prior386.16 2885.85 3087.10 2593.31 2472.86 1888.77 7191.68 6668.29 16884.26 3492.83 3972.83 2295.42 3884.97 995.71 893.02 54
MSLP-MVS85.43 3785.76 3184.45 6891.93 4770.24 4790.71 3292.86 2977.46 3584.22 3592.81 4267.16 5792.94 13480.36 4594.35 3390.16 132
Regformer-485.68 3485.45 3286.35 3688.95 9269.67 5588.29 8891.29 7781.73 485.36 1790.01 8572.62 2495.35 4383.28 2687.57 9094.03 20
ACMMPcopyleft85.89 3185.39 3387.38 2193.59 2172.63 2192.74 1093.18 1776.78 4680.73 6693.82 2164.33 7696.29 2082.67 3490.69 5893.23 47
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
TSAR-MVS85.71 3385.33 3486.84 2891.34 5272.50 2489.07 6487.28 17376.41 5385.80 1490.22 8174.15 1695.37 4281.82 3691.88 4792.65 63
alignmvs85.48 3585.32 3585.96 4489.51 7669.47 6089.74 5192.47 3776.17 5987.73 991.46 6070.32 3693.78 9881.51 3788.95 7494.63 5
DELS-MVS85.41 3885.30 3685.77 4588.49 10667.93 8885.52 16693.44 978.70 2383.63 4489.03 10774.57 995.71 2980.26 4794.04 3693.66 30
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
CDPH-MVS85.76 3285.29 3787.17 2493.49 2371.08 3788.58 7792.42 4168.32 16784.61 2893.48 2472.32 2696.15 2479.00 5095.43 1394.28 14
Regformer-385.23 4085.07 3885.70 4688.95 9269.01 6688.29 8889.91 12180.95 785.01 1990.01 8572.45 2594.19 7782.50 3587.57 9093.90 27
UA-Net85.08 4284.96 3985.45 4792.07 4568.07 8789.78 5090.86 8782.48 284.60 2993.20 3069.35 4495.22 4471.39 12190.88 5793.07 52
HPM-MVS_fast85.35 3984.95 4086.57 3593.69 2070.58 4692.15 1891.62 6773.89 8582.67 5494.09 1762.60 10795.54 3380.93 4092.93 4093.57 38
MVS_111021_HR85.14 4184.75 4186.32 3991.65 5072.70 2085.98 15690.33 10476.11 6082.08 5691.61 5571.36 3294.17 7881.02 3992.58 4492.08 78
3Dnovator+77.84 485.48 3584.47 4288.51 291.08 5573.49 1193.18 493.78 580.79 976.66 12593.37 2760.40 14696.75 877.20 6493.73 3895.29 1
EI-MVSNet-Vis-set84.19 4383.81 4385.31 4988.18 11467.85 8987.66 10389.73 12580.05 1482.95 4889.59 9270.74 3594.82 6280.66 4484.72 11593.28 46
nrg03083.88 4483.53 4484.96 5686.77 14569.28 6390.46 3892.67 3474.79 7582.95 4891.33 6172.70 2393.09 12980.79 4379.28 16292.50 66
MG-MVS83.41 5083.45 4583.28 9692.74 3662.28 18888.17 9289.50 12975.22 7281.49 5992.74 4366.75 5895.11 4872.85 10291.58 5092.45 67
EI-MVSNet-UG-set83.81 4583.38 4685.09 5387.87 12267.53 9387.44 11489.66 12679.74 1582.23 5589.41 10270.24 3794.74 6479.95 4883.92 12092.99 57
CPTT-MVS83.73 4683.33 4784.92 5993.28 2670.86 4292.09 1990.38 9968.75 16279.57 7192.83 3960.60 14293.04 13280.92 4191.56 5190.86 103
HQP_MVS83.64 4883.14 4885.14 5290.08 6868.71 7591.25 2692.44 3879.12 1878.92 7891.00 6960.42 14495.38 4078.71 5386.32 10391.33 92
MVS_Test83.15 5383.06 4983.41 9386.86 14263.21 17586.11 15492.00 5174.31 7982.87 5089.44 10170.03 3893.21 12077.39 6388.50 8593.81 29
EPP-MVSNet83.40 5183.02 5084.57 6490.13 6764.47 15192.32 1590.73 8874.45 7879.35 7491.10 6369.05 4795.12 4772.78 10387.22 9494.13 16
EPNet83.72 4782.92 5186.14 4284.22 17369.48 5991.05 3085.27 19381.30 676.83 12291.65 5266.09 6495.56 3276.00 7493.85 3793.38 43
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
IS-MVSNet83.15 5382.81 5284.18 7689.94 7063.30 17291.59 2388.46 16179.04 2079.49 7292.16 4465.10 7294.28 7267.71 14191.86 4894.95 2
Vis-MVSNetpermissive83.46 4982.80 5385.43 4890.25 6668.74 7490.30 4290.13 11376.33 5880.87 6592.89 3761.00 13694.20 7672.45 10990.97 5593.35 45
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
FIs82.07 6682.42 5481.04 16688.80 9858.34 21488.26 9093.49 876.93 4378.47 8591.04 6669.92 4092.34 14869.87 12984.97 11192.44 68
VNet82.21 6482.41 5581.62 15390.82 6060.93 19484.47 18089.78 12376.36 5784.07 3791.88 5064.71 7590.26 18970.68 12288.89 7593.66 30
PAPM_NR83.02 5682.41 5584.82 6192.47 4266.37 10787.93 9991.80 6073.82 8677.32 11490.66 7467.90 5194.90 5970.37 12589.48 7093.19 49
VDD-MVS83.01 5782.36 5784.96 5691.02 5666.40 10688.91 6688.11 16377.57 3084.39 3393.29 2952.19 19393.91 8977.05 6688.70 7994.57 7
3Dnovator76.31 583.38 5282.31 5886.59 3487.94 12172.94 1790.64 3392.14 4977.21 3675.47 13792.83 3958.56 15294.72 6573.24 10092.71 4392.13 77
MVS_111021_LR82.61 6182.11 5984.11 7788.82 9671.58 3485.15 16886.16 18674.69 7680.47 6791.04 6662.29 11690.55 18780.33 4690.08 6590.20 131
DP-MVS Recon83.11 5582.09 6086.15 4194.44 970.92 4188.79 7092.20 4670.53 13679.17 7591.03 6864.12 7896.03 2568.39 14090.14 6491.50 89
MVSFormer82.85 5882.05 6185.24 5187.35 13570.21 4890.50 3690.38 9968.55 16481.32 6089.47 9661.68 12293.46 11378.98 5190.26 6292.05 79
FC-MVSNet-test81.52 7582.02 6280.03 17988.42 11055.97 24387.95 9793.42 1077.10 3977.38 11290.98 7169.96 3991.79 15568.46 13984.50 11692.33 70
HQP-MVS82.61 6182.02 6284.37 6989.33 8066.98 10189.17 5992.19 4776.41 5377.23 11790.23 8060.17 14795.11 4877.47 6185.99 10791.03 97
OMC-MVS82.69 5981.97 6484.85 6088.75 10067.42 9487.98 9590.87 8674.92 7479.72 7091.65 5262.19 11993.96 8475.26 8586.42 10293.16 50
PVSNet_Blended_VisFu82.62 6081.83 6584.96 5690.80 6169.76 5488.74 7391.70 6569.39 15078.96 7788.46 12065.47 6994.87 6174.42 8988.57 8290.24 130
CLD-MVS82.31 6381.65 6684.29 7388.47 10767.73 9285.81 16292.35 4375.78 6278.33 9186.58 16264.01 7994.35 7076.05 7387.48 9290.79 104
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
UniMVSNet_NR-MVSNet81.88 6981.54 6782.92 11588.46 10863.46 16887.13 12592.37 4280.19 1278.38 8989.14 10471.66 3093.05 13070.05 12676.46 19492.25 73
PS-MVSNAJss82.07 6681.31 6884.34 7286.51 14767.27 9889.27 5791.51 7171.75 12179.37 7390.22 8163.15 8994.27 7377.69 5982.36 13591.49 90
LPG-MVS_test82.08 6581.27 6984.50 6689.23 8868.76 7290.22 4391.94 5575.37 6976.64 12691.51 5754.29 17994.91 5778.44 5583.78 12189.83 147
LFMVS81.82 7181.23 7083.57 9091.89 4863.43 17089.84 4781.85 22477.04 4183.21 4593.10 3252.26 19293.43 11771.98 11589.95 6793.85 28
API-MVS81.99 6881.23 7084.26 7490.94 5770.18 5091.10 2989.32 13371.51 12778.66 8288.28 12465.26 7095.10 5164.74 16691.23 5487.51 198
UniMVSNet (Re)81.60 7481.11 7283.09 10488.38 11164.41 15387.60 10493.02 2178.42 2678.56 8388.16 12569.78 4193.26 11969.58 13176.49 19391.60 85
PS-MVSNAJ81.69 7281.02 7383.70 8789.51 7668.21 8584.28 18790.09 11470.79 13381.26 6285.62 18363.15 8994.29 7175.62 8188.87 7688.59 178
PAPR81.66 7380.89 7483.99 8290.27 6564.00 16186.76 14091.77 6468.84 16177.13 12189.50 9367.63 5394.88 6067.55 14288.52 8493.09 51
MAR-MVS81.84 7080.70 7585.27 5091.32 5371.53 3589.82 4890.92 8569.77 14578.50 8486.21 17162.36 11594.52 6965.36 16092.05 4689.77 150
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
VDDNet81.52 7580.67 7684.05 8090.44 6364.13 15789.73 5285.91 18971.11 12983.18 4693.48 2450.54 20293.49 11273.40 9988.25 8794.54 8
ACMP74.13 681.51 7780.57 7784.36 7089.42 7868.69 7889.97 4691.50 7374.46 7775.04 15290.41 7753.82 18494.54 6777.56 6082.91 12789.86 146
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
VPA-MVSNet80.60 8980.55 7880.76 17088.07 11760.80 19786.86 13491.58 6975.67 6580.24 6889.45 10063.34 8490.25 19070.51 12479.22 16391.23 95
DU-MVS81.12 8080.52 7982.90 11687.80 12563.46 16887.02 13091.87 5879.01 2178.38 8989.07 10565.02 7393.05 13070.05 12676.46 19492.20 74
PVSNet_Blended80.98 8180.34 8082.90 11688.85 9465.40 12284.43 18392.00 5167.62 17278.11 10085.05 19266.02 6694.27 7371.52 11989.50 6989.01 161
TranMVSNet+NR-MVSNet80.84 8380.31 8182.42 13287.85 12362.33 18687.74 10291.33 7680.55 1077.99 10389.86 8765.23 7192.62 13967.05 14975.24 21092.30 71
jason81.39 7880.29 8284.70 6386.63 14669.90 5285.95 15786.77 17763.24 20781.07 6489.47 9661.08 13592.15 15178.33 5890.07 6692.05 79
jason: jason.
lupinMVS81.39 7880.27 8384.76 6287.35 13570.21 4885.55 16486.41 18162.85 21381.32 6088.61 11561.68 12292.24 15078.41 5790.26 6291.83 81
PVSNet_BlendedMVS80.60 8980.02 8482.36 13488.85 9465.40 12286.16 15292.00 5169.34 15378.11 10086.09 17466.02 6694.27 7371.52 11982.06 13687.39 200
EI-MVSNet80.52 9279.98 8582.12 13684.28 17063.19 17786.41 14788.95 15174.18 8178.69 8087.54 13466.62 5992.43 14472.57 10880.57 15190.74 107
ACMM73.20 880.78 8779.84 8683.58 8989.31 8568.37 8189.99 4591.60 6870.28 13977.25 11589.66 9053.37 18693.53 11174.24 9282.85 12888.85 165
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
liao80.84 8379.77 8784.05 8093.11 3070.78 4384.66 17585.42 19257.37 25181.76 5892.02 4663.41 8394.12 7967.28 14592.93 4087.26 204
XVG-OURS-SEG-HR80.81 8679.76 8883.96 8485.60 15668.78 7183.54 19890.50 9670.66 13576.71 12491.66 5160.69 13991.26 17076.94 6781.58 14191.83 81
UGNet80.83 8579.59 8984.54 6588.04 11868.09 8689.42 5588.16 16276.95 4276.22 13089.46 9849.30 20793.94 8668.48 13890.31 6191.60 85
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
v1neww80.40 9479.54 9082.98 11184.10 18064.51 14687.57 10690.22 10873.25 9478.47 8586.65 15862.83 9793.86 9275.72 7777.02 18090.58 118
v7new80.40 9479.54 9082.98 11184.10 18064.51 14687.57 10690.22 10873.25 9478.47 8586.65 15862.83 9793.86 9275.72 7777.02 18090.58 118
v680.40 9479.54 9082.98 11184.09 18264.50 14987.57 10690.22 10873.25 9478.47 8586.63 16062.84 9693.86 9275.73 7677.02 18090.58 118
114514_t80.68 8879.51 9384.20 7594.09 1867.27 9889.64 5391.11 8258.75 24274.08 15890.72 7358.10 15595.04 5369.70 13089.42 7190.30 129
QAPM80.88 8279.50 9485.03 5488.01 12068.97 6891.59 2392.00 5166.63 18175.15 14992.16 4457.70 15795.45 3663.52 16988.76 7890.66 112
AdaColmapbinary80.58 9179.42 9584.06 7993.09 3168.91 6989.36 5688.97 14969.27 15475.70 13689.69 8957.20 16195.77 2863.06 17288.41 8687.50 199
NR-MVSNet80.23 10179.38 9682.78 12687.80 12563.34 17186.31 14991.09 8379.01 2172.17 17489.07 10567.20 5692.81 13766.08 15575.65 20292.20 74
IterMVS-LS80.06 10679.38 9682.11 13785.89 15163.20 17686.79 13789.34 13274.19 8075.45 13986.72 15166.62 5992.39 14672.58 10776.86 18590.75 106
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test_djsdf80.30 9979.32 9883.27 9783.98 18865.37 12590.50 3690.38 9968.55 16476.19 13188.70 11156.44 16593.46 11378.98 5180.14 15790.97 100
v114180.19 10379.31 9982.85 11983.84 19164.12 15887.14 12290.08 11573.13 9778.27 9386.39 16762.67 10593.75 10275.40 8376.83 18890.68 109
divwei89l23v2f11280.19 10379.31 9982.85 11983.84 19164.11 16087.13 12590.08 11573.13 9778.27 9386.39 16762.69 10393.75 10275.40 8376.82 18990.68 109
v180.19 10379.31 9982.85 11983.83 19364.12 15887.14 12290.07 11773.13 9778.27 9386.38 16962.72 10293.75 10275.41 8276.82 18990.68 109
v2v48280.23 10179.29 10283.05 10783.62 19664.14 15687.04 12989.97 11873.61 8878.18 9987.22 14361.10 13493.82 9576.11 7276.78 19191.18 96
v780.24 10079.26 10383.15 10184.07 18664.94 13687.56 10990.67 8972.26 11678.28 9286.51 16561.45 12794.03 8375.14 8677.41 17490.49 123
XVG-OURS80.41 9379.23 10483.97 8385.64 15569.02 6583.03 20190.39 9871.09 13077.63 10991.49 5954.62 17891.35 16875.71 7983.47 12391.54 87
WR-MVS79.49 11779.22 10580.27 17788.79 9958.35 21385.06 16988.61 15978.56 2477.65 10888.34 12263.81 8290.66 18664.98 16477.22 17791.80 84
mvs_anonymous79.42 12079.11 10680.34 17484.45 16957.97 22082.59 20287.62 17167.40 17676.17 13488.56 11868.47 4989.59 19770.65 12386.05 10693.47 42
v114480.03 10779.03 10783.01 10983.78 19464.51 14687.11 12790.57 9471.96 12078.08 10286.20 17261.41 12893.94 8674.93 8777.23 17690.60 115
v879.97 10879.02 10882.80 12384.09 18264.50 14987.96 9690.29 10774.13 8375.24 14886.81 14862.88 9493.89 9174.39 9075.40 20790.00 143
ab-mvs79.51 11578.97 10981.14 16488.46 10860.91 19583.84 19389.24 13870.36 13879.03 7688.87 10963.23 8890.21 19165.12 16182.57 13392.28 72
PCF-MVS73.52 780.38 9778.84 11085.01 5587.71 12868.99 6783.65 19591.46 7463.00 21077.77 10790.28 7866.10 6395.09 5261.40 18688.22 8890.94 101
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
v1079.74 11278.67 11182.97 11484.06 18764.95 13587.88 10190.62 9273.11 10075.11 15086.56 16361.46 12694.05 8273.68 9575.55 20489.90 144
VPNet78.69 13278.66 11278.76 19488.31 11255.72 24484.45 18286.63 17976.79 4578.26 9690.55 7659.30 14989.70 19666.63 15077.05 17990.88 102
BH-untuned79.47 11878.60 11382.05 13889.19 9065.91 11386.07 15588.52 16072.18 11775.42 14087.69 12961.15 13393.54 11060.38 19286.83 9886.70 216
diffmvs79.51 11578.59 11482.25 13583.31 20362.66 18384.17 18888.11 16367.64 17076.09 13587.47 13664.01 7991.15 17371.71 11884.82 11492.94 58
DI_MVS_test_dynamic79.89 10978.58 11583.85 8682.89 21565.32 12686.12 15389.55 12869.64 14970.55 18885.82 17957.24 16093.81 9676.85 6888.55 8392.41 69
WR-MVS_H78.51 13378.49 11678.56 19688.02 11956.38 23888.43 7992.67 3477.14 3773.89 15987.55 13366.25 6289.24 20258.92 20273.55 22390.06 141
DI_MVS_test_normal79.81 11078.45 11783.89 8582.70 21965.40 12285.82 16189.48 13069.39 15070.12 19585.66 18257.15 16293.71 10777.08 6588.62 8192.56 65
Vis-MVSNet (Re-imp)78.36 13678.45 11778.07 20288.64 10251.78 25886.70 14179.63 24074.14 8275.11 15090.83 7261.29 13189.75 19558.10 21091.60 4992.69 62
BH-RMVSNet79.61 11378.44 11983.14 10289.38 7965.93 11284.95 17187.15 17473.56 9078.19 9889.79 8856.67 16493.36 11859.53 19986.74 9990.13 134
v119279.59 11478.43 12083.07 10683.55 19864.52 14486.93 13290.58 9370.83 13277.78 10685.90 17559.15 15093.94 8673.96 9477.19 17890.76 105
v14419279.47 11878.37 12182.78 12683.35 20163.96 16286.96 13190.36 10269.99 14277.50 11085.67 18160.66 14093.77 10074.27 9176.58 19290.62 113
CP-MVSNet78.22 13778.34 12277.84 20487.83 12454.54 24887.94 9891.17 8177.65 2873.48 16188.49 11962.24 11888.43 21262.19 17974.07 21790.55 121
Baseline_NR-MVSNet78.15 14178.33 12377.61 20885.79 15256.21 24186.78 13885.76 19073.60 8977.93 10487.57 13265.02 7388.99 20567.14 14875.33 20887.63 195
OpenMVScopyleft72.83 1079.77 11178.33 12384.09 7885.17 15969.91 5190.57 3490.97 8466.70 17772.17 17491.91 4854.70 17693.96 8461.81 18490.95 5688.41 185
V4279.38 12178.24 12582.83 12281.10 23565.50 12185.55 16489.82 12271.57 12678.21 9786.12 17360.66 14093.18 12475.64 8075.46 20689.81 149
PS-CasMVS78.01 14478.09 12677.77 20687.71 12854.39 25088.02 9491.22 7877.50 3473.26 16288.64 11460.73 13888.41 21361.88 18273.88 22190.53 122
v192192079.22 12378.03 12782.80 12383.30 20463.94 16386.80 13690.33 10469.91 14377.48 11185.53 18558.44 15393.75 10273.60 9876.85 18690.71 108
jajsoiax79.29 12277.96 12883.27 9784.68 16666.57 10589.25 5890.16 11269.20 15675.46 13889.49 9445.75 22493.13 12776.84 6980.80 14790.11 135
TAPA-MVS73.13 979.15 12477.94 12982.79 12589.59 7562.99 18188.16 9391.51 7165.77 18877.14 12091.09 6460.91 13793.21 12050.26 24287.05 9692.17 76
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
MVSTER79.01 12777.88 13082.38 13383.07 20964.80 13884.08 19288.95 15169.01 15978.69 8087.17 14554.70 17692.43 14474.69 8880.57 15189.89 145
X-MVStestdata80.37 9877.83 13188.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4212.47 29467.45 5496.60 1483.06 2894.50 2894.07 18
v14878.72 13177.80 13281.47 15782.73 21861.96 19086.30 15088.08 16573.26 9376.18 13285.47 18762.46 11392.36 14771.92 11773.82 22290.09 137
v124078.99 12877.78 13382.64 13083.21 20563.54 16686.62 14290.30 10669.74 14877.33 11385.68 18057.04 16393.76 10173.13 10176.92 18390.62 113
mvs_tets79.13 12577.77 13483.22 9984.70 16566.37 10789.17 5990.19 11169.38 15275.40 14189.46 9844.17 23093.15 12576.78 7080.70 14990.14 133
CDS-MVSNet79.07 12677.70 13583.17 10087.60 13068.23 8484.40 18586.20 18567.49 17476.36 12886.54 16461.54 12590.79 18461.86 18387.33 9390.49 123
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
PEN-MVS77.73 15177.69 13677.84 20487.07 14053.91 25287.91 10091.18 8077.56 3273.14 16488.82 11061.23 13289.17 20359.95 19472.37 22890.43 126
v7n78.97 12977.58 13783.14 10283.45 20065.51 12088.32 8691.21 7973.69 8772.41 17286.32 17057.93 15693.81 9669.18 13375.65 20290.11 135
TAMVS78.89 13077.51 13883.03 10887.80 12567.79 9184.72 17485.05 19667.63 17176.75 12387.70 12862.25 11790.82 18358.53 20687.13 9590.49 123
GBi-Net78.40 13477.40 13981.40 15987.60 13063.01 17888.39 8389.28 13471.63 12375.34 14387.28 13954.80 17391.11 17462.72 17379.57 15890.09 137
test178.40 13477.40 13981.40 15987.60 13063.01 17888.39 8389.28 13471.63 12375.34 14387.28 13954.80 17391.11 17462.72 17379.57 15890.09 137
BH-w/o78.21 13877.33 14180.84 16888.81 9765.13 13284.87 17287.85 16869.75 14674.52 15684.74 19761.34 12993.11 12858.24 20985.84 10984.27 239
FMVSNet278.20 13977.21 14281.20 16287.60 13062.89 18287.47 11389.02 14271.63 12375.29 14787.28 13954.80 17391.10 17762.38 17779.38 16189.61 153
HyFIR77.49 16177.16 14378.47 19988.18 11458.04 21775.75 24584.17 20460.53 22876.25 12989.49 9462.42 11487.81 21868.64 13789.00 7389.56 154
HY-MVS69.67 1277.95 14677.15 14480.36 17387.57 13460.21 20183.37 20087.78 16966.11 18475.37 14287.06 14763.27 8690.48 18861.38 18782.43 13490.40 128
HC-MVS78.19 14076.99 14581.78 14385.66 15466.99 10084.66 17590.47 9755.08 25972.02 17885.27 19063.83 8194.11 8166.10 15489.80 6884.24 240
LCM-MVSNet-Re77.05 16676.94 14677.36 21087.20 13851.60 25980.06 21980.46 23275.20 7367.69 22486.72 15162.48 11288.98 20663.44 17089.25 7291.51 88
FMVSNet377.88 14976.85 14780.97 16786.84 14362.36 18586.52 14488.77 15871.13 12875.34 14386.66 15754.07 18291.10 17762.72 17379.57 15889.45 155
DTE-MVSNet76.99 16776.80 14877.54 20986.24 14953.06 25587.52 11190.66 9177.08 4072.50 17088.67 11360.48 14389.52 19857.33 21670.74 23890.05 142
CNLPA78.08 14276.79 14981.97 14090.40 6471.07 3887.59 10584.55 19966.03 18772.38 17389.64 9157.56 15886.04 22759.61 19783.35 12488.79 167
v74877.97 14576.65 15081.92 14282.29 22463.28 17387.53 11090.35 10373.50 9270.76 18785.55 18458.28 15492.81 13768.81 13672.76 22789.67 152
1112_ss77.40 16576.43 15180.32 17589.11 9160.41 20083.65 19587.72 17062.13 22073.05 16586.72 15162.58 10989.97 19362.11 18180.80 14790.59 117
PAPM77.68 15376.40 15281.51 15687.29 13761.85 19183.78 19489.59 12764.74 19571.23 18488.70 11162.59 10893.66 10852.66 23487.03 9789.01 161
v5277.94 14876.37 15382.67 12879.39 25165.52 11886.43 14589.94 11972.28 11472.15 17684.94 19455.70 16993.44 11573.64 9672.84 22689.06 158
V477.95 14676.37 15382.67 12879.40 25065.52 11886.43 14589.94 11972.28 11472.14 17784.95 19355.72 16893.44 11573.64 9672.86 22589.05 159
PLCcopyleft70.83 1178.05 14376.37 15383.08 10591.88 4967.80 9088.19 9189.46 13164.33 20069.87 20288.38 12153.66 18593.58 10958.86 20382.73 13087.86 192
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v1677.69 15276.36 15681.68 15084.15 17764.63 14387.33 11688.99 14672.69 11169.31 20982.08 21762.80 10091.79 15572.70 10567.23 24888.63 172
v1877.67 15576.35 15781.64 15284.09 18264.47 15187.27 11989.01 14472.59 11269.39 20682.04 21962.85 9591.80 15472.72 10467.20 24988.63 172
v1777.68 15376.35 15781.69 14984.15 17764.65 14187.33 11688.99 14672.70 11069.25 21082.07 21862.82 9991.79 15572.69 10667.15 25088.63 172
TR-MVS77.44 16376.18 15981.20 16288.24 11363.24 17484.61 17886.40 18267.55 17377.81 10586.48 16654.10 18193.15 12557.75 21282.72 13187.20 205
v1577.51 15876.12 16081.66 15184.09 18264.65 14187.14 12288.96 15072.76 10868.90 21181.91 22662.74 10191.73 15872.32 11066.29 25588.61 175
V1477.52 15676.12 16081.70 14884.15 17764.77 13987.21 12188.95 15172.80 10768.79 21281.94 22562.69 10391.72 16072.31 11166.27 25688.60 176
FMVSNet177.44 16376.12 16081.40 15986.81 14463.01 17888.39 8389.28 13470.49 13774.39 15787.28 13949.06 20991.11 17460.91 18978.52 16590.09 137
V977.52 15676.11 16381.73 14784.19 17664.89 13787.26 12088.94 15472.87 10668.65 21581.96 22462.65 10691.72 16072.27 11266.24 25788.60 176
v1277.51 15876.09 16481.76 14684.22 17364.99 13487.30 11888.93 15572.92 10368.48 21981.97 22262.54 11091.70 16372.24 11366.21 25988.58 179
v1377.50 16076.07 16581.77 14484.23 17265.07 13387.34 11588.91 15672.92 10368.35 22081.97 22262.53 11191.69 16472.20 11466.22 25888.56 180
v1177.45 16276.06 16681.59 15584.22 17364.52 14487.11 12789.02 14272.76 10868.76 21381.90 22762.09 12091.71 16271.98 11566.73 25188.56 180
Test477.83 15075.90 16783.62 8880.24 24265.25 12885.27 16790.67 8969.03 15866.48 23583.75 20143.07 23493.00 13375.93 7588.66 8092.62 64
WTY-MVS75.65 18275.68 16875.57 22486.40 14856.82 23077.92 23482.40 21865.10 19376.18 13287.72 12763.13 9280.90 24660.31 19381.96 13789.00 163
XXY-MVS75.41 18475.56 16974.96 22783.59 19757.82 22380.59 21783.87 20666.54 18274.93 15388.31 12363.24 8780.09 25062.16 18076.85 18686.97 211
Test_1112_low_res76.40 17375.44 17079.27 18889.28 8658.09 21681.69 20887.07 17559.53 23872.48 17186.67 15661.30 13089.33 20060.81 19180.15 15690.41 127
liao176.53 17275.30 17180.21 17883.93 18962.32 18784.66 17588.81 15760.23 23270.16 19484.07 19855.30 17290.73 18567.37 14483.21 12687.59 197
GA-MVS76.87 16975.17 17281.97 14082.75 21762.58 18481.44 21186.35 18472.16 11974.74 15482.89 20846.20 21992.02 15368.85 13581.09 14491.30 94
EPNet_dtu75.46 18374.86 17377.23 21382.57 22154.60 24786.89 13383.09 21271.64 12266.25 23785.86 17755.99 16788.04 21554.92 22386.55 10189.05 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
LS3D76.95 16874.82 17483.37 9490.45 6267.36 9789.15 6386.94 17661.87 22269.52 20490.61 7551.71 19794.53 6846.38 25686.71 10088.21 187
cascas76.72 17174.64 17582.99 11085.78 15365.88 11482.33 20489.21 13960.85 22772.74 16781.02 23547.28 21593.75 10267.48 14385.02 11089.34 156
DP-MVS76.78 17074.57 17683.42 9193.29 2569.46 6188.55 7883.70 20763.98 20470.20 19288.89 10854.01 18394.80 6346.66 25381.88 13986.01 226
TransMVSNet (Re)75.39 18574.56 17777.86 20385.50 15757.10 22886.78 13886.09 18872.17 11871.53 18387.34 13863.01 9389.31 20156.84 21861.83 26887.17 206
LTVRE_ROB69.57 1376.25 17574.54 17881.41 15888.60 10364.38 15479.24 22589.12 14070.76 13469.79 20387.86 12649.09 20893.20 12256.21 22180.16 15586.65 217
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
MV-PatchMatch76.12 17674.46 17981.13 16585.37 15869.79 5384.42 18487.95 16765.03 19467.46 22685.33 18953.28 18791.73 15858.01 21183.27 12581.85 255
F-COLMAP76.38 17474.33 18082.50 13189.28 8666.95 10388.41 8289.03 14164.05 20266.83 23188.61 11546.78 21892.89 13557.48 21378.55 16487.67 194
XVG-ACMP-BASELINE76.11 17774.27 18181.62 15383.20 20664.67 14083.60 19789.75 12469.75 14671.85 17987.09 14632.78 26592.11 15269.99 12880.43 15488.09 189
ACMH+68.96 1476.01 17874.01 18282.03 13988.60 10365.31 12788.86 6787.55 17270.25 14067.75 22387.47 13641.27 24393.19 12358.37 20775.94 19987.60 196
ACMH67.68 1675.89 17973.93 18381.77 14488.71 10166.61 10488.62 7589.01 14469.81 14466.78 23286.70 15541.95 24291.51 16755.64 22278.14 17087.17 206
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CostFormer75.24 18673.90 18479.27 18882.65 22058.27 21580.80 21282.73 21661.57 22375.33 14683.13 20755.52 17091.07 18064.98 16478.34 16988.45 183
sss73.60 19373.64 18573.51 23782.80 21655.01 24676.12 24081.69 22562.47 21774.68 15585.85 17857.32 15978.11 25760.86 19080.93 14587.39 200
IB-MVS68.01 1575.85 18073.36 18683.31 9584.76 16466.03 10983.38 19985.06 19570.21 14169.40 20581.05 23445.76 22394.66 6665.10 16275.49 20589.25 157
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
testing_275.73 18173.34 18782.89 11877.37 25965.22 12984.10 19190.54 9569.09 15760.46 25581.15 23340.48 24692.84 13676.36 7180.54 15390.60 115
PatchFormer-LS_test74.50 18773.05 18878.86 19382.95 21359.55 20681.65 20982.30 22067.44 17571.62 18278.15 25152.34 19088.92 21065.05 16375.90 20088.12 188
IterMVS74.29 18872.94 18978.35 20081.53 23063.49 16781.58 21082.49 21768.06 16969.99 19983.69 20351.66 19885.54 23065.85 15771.64 23386.01 226
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MS-PatchMatch73.83 19172.67 19077.30 21283.87 19066.02 11081.82 20784.66 19861.37 22568.61 21782.82 21047.29 21488.21 21459.27 20084.32 11877.68 268
CVMVSNet72.99 20272.58 19174.25 23484.28 17050.85 26486.41 14783.45 20944.56 27773.23 16387.54 13449.38 20585.70 22965.90 15678.44 16786.19 221
test-LLR72.94 20372.43 19274.48 23181.35 23158.04 21778.38 23077.46 24866.66 17869.95 20079.00 24748.06 21279.24 25266.13 15284.83 11286.15 222
OurMVSNet-221017-074.26 18972.42 19379.80 18283.76 19559.59 20385.92 15986.64 17866.39 18366.96 23087.58 13139.46 24991.60 16665.76 15869.27 24188.22 186
tpmrst72.39 20572.13 19473.18 23980.54 24049.91 26679.91 22179.08 24263.11 20871.69 18179.95 24155.32 17182.77 24165.66 15973.89 22086.87 212
DWT-MVSNet_test73.70 19271.86 19579.21 19082.91 21458.94 20882.34 20382.17 22165.21 19171.05 18678.31 24944.21 22990.17 19263.29 17177.28 17588.53 182
EG-PatchMatch MVS74.04 19071.82 19680.71 17184.92 16367.42 9485.86 16088.08 16566.04 18664.22 24683.85 19935.10 26392.56 14257.44 21480.83 14682.16 254
tpm72.37 20771.71 19774.35 23382.19 22552.00 25679.22 22677.29 25064.56 19772.95 16683.68 20451.35 19983.26 24058.33 20875.80 20187.81 193
tpm273.26 19871.46 19878.63 19583.34 20256.71 23380.65 21580.40 23356.63 25473.55 16082.02 22051.80 19691.24 17156.35 22078.42 16887.95 190
RPSCF73.23 19971.46 19878.54 19782.50 22259.85 20282.18 20582.84 21558.96 24071.15 18589.41 10245.48 22684.77 23458.82 20471.83 23291.02 99
PatchmatchNetpermissive73.12 20071.33 20078.49 19883.18 20760.85 19679.63 22278.57 24464.13 20171.73 18079.81 24451.20 20085.97 22857.40 21576.36 19688.66 170
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CR-MVSNet73.37 19571.27 20179.67 18481.32 23365.19 13075.92 24280.30 23459.92 23572.73 16881.19 23152.50 18886.69 22259.84 19577.71 17187.11 209
SixPastTwentyTwo73.37 19571.26 20279.70 18385.08 16257.89 22285.57 16383.56 20871.03 13165.66 23885.88 17642.10 24092.57 14159.11 20163.34 26588.65 171
tpmp4_e2373.45 19471.17 20380.31 17683.55 19859.56 20581.88 20682.33 21957.94 24770.51 19081.62 22951.19 20191.63 16553.96 22777.51 17389.75 151
MSDG73.36 19770.99 20480.49 17284.51 16865.80 11580.71 21486.13 18765.70 18965.46 23983.74 20244.60 22790.91 18251.13 23876.89 18484.74 237
PatchMatch-RL72.38 20670.90 20576.80 21688.60 10367.38 9679.53 22376.17 25462.75 21569.36 20782.00 22145.51 22584.89 23353.62 22980.58 15078.12 266
PVSNet64.34 1872.08 20870.87 20675.69 22386.21 15056.44 23774.37 25380.73 23062.06 22170.17 19382.23 21542.86 23683.31 23954.77 22484.45 11787.32 202
test_040272.79 20470.44 20779.84 18188.13 11665.99 11185.93 15884.29 20165.57 19067.40 22785.49 18646.92 21792.61 14035.88 27274.38 21680.94 258
COLMAP_ROBcopyleft66.92 1773.01 20170.41 20880.81 16987.13 13965.63 11788.30 8784.19 20362.96 21163.80 24887.69 12938.04 25492.56 14246.66 25374.91 21184.24 240
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
test-mter71.41 21070.39 20974.48 23181.35 23158.04 21778.38 23077.46 24860.32 23169.95 20079.00 24736.08 26179.24 25266.13 15284.83 11286.15 222
MDTV_nov1_ep1369.97 21083.18 20753.48 25377.10 23880.18 23760.45 22969.33 20880.44 23848.89 21086.90 22151.60 23678.51 166
MIMVSNet70.69 21669.30 21174.88 22884.52 16756.35 23975.87 24479.42 24164.59 19667.76 22282.41 21241.10 24481.54 24546.64 25581.34 14286.75 215
tpmvs71.09 21269.29 21276.49 21782.04 22656.04 24278.92 22981.37 22764.05 20267.18 22878.28 25049.74 20489.77 19449.67 24572.37 22883.67 243
Patchmtry70.74 21569.16 21375.49 22580.72 23754.07 25174.94 25280.30 23458.34 24370.01 19681.19 23152.50 18886.54 22453.37 23071.09 23685.87 228
pm-mvs170.87 21469.03 21476.39 21879.41 24958.92 20980.64 21678.89 24355.71 25667.14 22983.58 20548.48 21185.25 23252.94 23374.48 21584.99 234
TESTMET0.1,169.89 22269.00 21572.55 24079.27 25356.85 22978.38 23074.71 26457.64 24868.09 22177.19 25637.75 25576.70 26263.92 16884.09 11984.10 242
RPMNet71.62 20968.94 21679.67 18481.32 23365.19 13075.92 24278.30 24657.60 24972.73 16876.45 25852.30 19186.69 22248.14 25077.71 17187.11 209
PMMVS69.34 22468.67 21771.35 24675.67 26562.03 18975.17 24773.46 27050.00 27368.68 21479.05 24552.07 19478.13 25661.16 18882.77 12973.90 275
K. test v371.19 21168.51 21879.21 19083.04 21157.78 22484.35 18676.91 25272.90 10562.99 25182.86 20939.27 25091.09 17961.65 18552.66 28088.75 168
USDC70.33 21968.37 21976.21 22080.60 23956.23 24079.19 22786.49 18060.89 22661.29 25285.47 18731.78 26889.47 19953.37 23076.21 19782.94 251
tpm cat170.57 21768.31 22077.35 21182.41 22357.95 22178.08 23380.22 23652.04 26968.54 21877.66 25452.00 19587.84 21751.77 23572.07 23186.25 220
OpenMVS_ROBcopyleft64.09 1970.56 21868.19 22177.65 20780.26 24159.41 20785.01 17082.96 21458.76 24165.43 24082.33 21337.63 25791.23 17245.34 26076.03 19882.32 252
EPMVS69.02 22568.16 22271.59 24279.61 24749.80 26777.40 23666.93 28362.82 21470.01 19679.05 24545.79 22277.86 25956.58 21975.26 20987.13 208
CMPMVSbinary51.72 2170.19 22068.16 22276.28 21973.15 27357.55 22579.47 22483.92 20548.02 27556.48 26784.81 19543.13 23386.42 22662.67 17681.81 14084.89 235
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
AllTest70.96 21368.09 22479.58 18685.15 16063.62 16484.58 17979.83 23862.31 21860.32 25686.73 14932.02 26688.96 20850.28 24071.57 23486.15 222
gg-mvs-nofinetune69.95 22167.96 22575.94 22183.07 20954.51 24977.23 23770.29 27763.11 20870.32 19162.33 27843.62 23288.69 21153.88 22887.76 8984.62 238
FMVSNet569.50 22367.96 22574.15 23582.97 21255.35 24580.01 22082.12 22262.56 21663.02 24981.53 23036.92 25881.92 24348.42 24874.06 21885.17 233
PatchT68.46 22967.85 22770.29 24980.70 23843.93 27672.47 25674.88 26060.15 23370.55 18876.57 25749.94 20381.59 24450.58 23974.83 21285.34 230
test0.0.03 168.00 23067.69 22868.90 25377.55 25747.43 27075.70 24672.95 27266.66 17866.56 23382.29 21448.06 21275.87 26544.97 26174.51 21483.41 245
EU-MVSNet68.53 22867.61 22971.31 24778.51 25647.01 27284.47 18084.27 20242.27 27866.44 23684.79 19640.44 24783.76 23558.76 20568.54 24783.17 246
test20.0367.45 23266.95 23068.94 25275.48 26844.84 27477.50 23577.67 24766.66 17863.01 25083.80 20047.02 21678.40 25542.53 26468.86 24583.58 244
MIMVSNet168.58 22766.78 23173.98 23680.07 24351.82 25780.77 21384.37 20064.40 19959.75 25882.16 21636.47 25983.63 23742.73 26370.33 23986.48 219
Patchmatch-RL test68.82 22666.60 23275.47 22677.43 25859.57 20471.16 25870.33 27662.94 21268.65 21581.66 22831.06 26985.49 23169.58 13166.58 25381.34 257
testgi66.67 23766.53 23367.08 25875.62 26641.69 28175.93 24176.50 25366.11 18465.20 24386.59 16135.72 26274.71 26843.71 26273.38 22484.84 236
UnsupCasMVSNet_eth67.33 23365.99 23471.37 24473.48 27151.47 26175.16 24885.19 19465.20 19260.78 25480.93 23742.35 23777.20 26157.12 21753.69 27985.44 229
dp66.80 23565.43 23570.90 24879.74 24648.82 26975.12 25074.77 26259.61 23764.08 24777.23 25542.89 23580.72 24748.86 24766.58 25383.16 247
TinyColmap67.30 23464.81 23674.76 23081.92 22756.68 23480.29 21881.49 22660.33 23056.27 26883.22 20624.77 27587.66 21945.52 25869.47 24079.95 262
TDRefinement67.49 23164.34 23776.92 21473.47 27261.07 19384.86 17382.98 21359.77 23658.30 26185.13 19126.06 27387.89 21647.92 25160.59 27281.81 256
PM-MVS66.41 23864.14 23873.20 23873.92 26956.45 23678.97 22864.96 28763.88 20664.72 24480.24 23919.84 28283.44 23866.24 15164.52 26379.71 263
MDA-MVSNet-bldmvs66.68 23663.66 23975.75 22279.28 25260.56 19973.92 25478.35 24564.43 19850.13 27879.87 24344.02 23183.67 23646.10 25756.86 27483.03 249
ADS-MVSNet266.20 24063.33 24074.82 22979.92 24458.75 21067.55 27475.19 25853.37 26565.25 24175.86 25942.32 23880.53 24841.57 26568.91 24385.18 231
MDA-MVSNet_test_wron65.03 24162.92 24171.37 24475.93 26256.73 23169.09 26974.73 26357.28 25254.03 27177.89 25245.88 22074.39 27049.89 24461.55 26982.99 250
YYNet165.03 24162.91 24271.38 24375.85 26356.60 23569.12 26874.66 26657.28 25254.12 27077.87 25345.85 22174.48 26949.95 24361.52 27083.05 248
ADS-MVSNet64.36 24362.88 24368.78 25579.92 24447.17 27167.55 27471.18 27553.37 26565.25 24175.86 25942.32 23873.99 27241.57 26568.91 24385.18 231
JIA-IIPM66.32 23962.82 24476.82 21577.09 26061.72 19265.34 27875.38 25658.04 24664.51 24562.32 27942.05 24186.51 22551.45 23769.22 24282.21 253
LF4IMVS64.02 24462.19 24569.50 25170.90 27753.29 25476.13 23977.18 25152.65 26858.59 25980.98 23623.55 27676.52 26353.06 23266.66 25278.68 265
UnsupCasMVSNet_bld63.70 24561.53 24670.21 25073.69 27051.39 26272.82 25581.89 22355.63 25757.81 26271.80 26738.67 25278.61 25449.26 24652.21 28180.63 259
PVSNet_057.27 2061.67 24659.27 24768.85 25479.61 24757.44 22668.01 27273.44 27155.93 25558.54 26070.41 27044.58 22877.55 26047.01 25235.91 28671.55 277
test235659.50 24858.08 24863.74 26271.23 27641.88 27967.59 27372.42 27453.72 26457.65 26370.74 26926.31 27272.40 27532.03 27971.06 23776.93 272
testus59.00 25057.91 24962.25 26572.25 27439.09 28469.74 26375.02 25953.04 26757.21 26573.72 26418.76 28470.33 27932.86 27568.57 24677.35 269
LP61.36 24757.78 25072.09 24175.54 26758.53 21267.16 27675.22 25751.90 27054.13 26969.97 27137.73 25680.45 24932.74 27655.63 27677.29 270
MVS-HIRNet59.14 24957.67 25163.57 26381.65 22943.50 27771.73 25765.06 28639.59 28251.43 27657.73 28238.34 25382.58 24239.53 26873.95 21964.62 282
testpf56.51 25557.58 25253.30 27371.99 27541.19 28246.89 29069.32 28158.06 24552.87 27569.45 27327.99 27172.73 27459.59 19862.07 26745.98 288
DSMNet-mixed57.77 25356.90 25360.38 26667.70 28335.61 28869.18 26753.97 29032.30 28957.49 26479.88 24240.39 24868.57 28238.78 26972.37 22876.97 271
test123567858.74 25156.89 25464.30 26069.70 27841.87 28071.05 25974.87 26154.06 26150.63 27771.53 26825.30 27474.10 27131.80 28063.10 26676.93 272
111157.11 25456.82 25557.97 26969.10 27928.28 29368.90 27074.54 26754.01 26253.71 27274.51 26223.09 27767.90 28332.28 27761.26 27177.73 267
pmmvs357.79 25254.26 25668.37 25664.02 28556.72 23275.12 25065.17 28540.20 28052.93 27469.86 27220.36 28075.48 26745.45 25955.25 27872.90 276
N_pmnet52.79 25953.26 25751.40 27678.99 2547.68 30169.52 2653.89 29951.63 27157.01 26674.98 26140.83 24565.96 28537.78 27064.67 26280.56 261
FPMVS53.68 25851.64 25859.81 26765.08 28451.03 26369.48 26669.58 27941.46 27940.67 28272.32 26616.46 28670.00 28024.24 28765.42 26158.40 284
testmv53.85 25751.03 25962.31 26461.46 28738.88 28570.95 26274.69 26551.11 27241.26 28166.85 27414.28 28772.13 27629.19 28249.51 28375.93 274
new_pmnet50.91 26250.29 26052.78 27468.58 28234.94 29163.71 28156.63 28939.73 28144.95 27965.47 27621.93 27958.48 28734.98 27356.62 27564.92 281
.test124545.55 26550.02 26132.14 28269.10 27928.28 29368.90 27074.54 26754.01 26253.71 27274.51 26223.09 27767.90 28332.28 2770.02 2980.25 297
HyFIR lowres test51.79 26050.01 26257.11 27068.82 28149.21 26860.50 28253.26 29134.52 28543.77 28064.94 27720.34 28171.75 27739.87 26764.06 26450.39 285
LCM-MVSNet54.25 25649.68 26367.97 25753.73 29245.28 27366.85 27780.78 22935.96 28439.45 28462.23 2808.70 29378.06 25848.24 24951.20 28280.57 260
test1235649.28 26448.51 26451.59 27562.06 28619.11 29860.40 28372.45 27347.60 27640.64 28365.68 27513.84 28868.72 28127.29 28446.67 28566.94 280
ANet_high50.57 26346.10 26563.99 26148.67 29539.13 28370.99 26180.85 22861.39 22431.18 28757.70 28317.02 28573.65 27331.22 28115.89 29579.18 264
no-one51.08 26145.79 26666.95 25957.92 29050.49 26559.63 28576.04 25548.04 27431.85 28556.10 28519.12 28380.08 25136.89 27126.52 28870.29 278
Gipumacopyleft45.18 26641.86 26755.16 27277.03 26151.52 26032.50 29380.52 23132.46 28727.12 28835.02 2899.52 29275.50 26622.31 28860.21 27338.45 290
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 26740.28 26855.82 27140.82 29842.54 27865.12 27963.99 28834.43 28624.48 28957.12 2843.92 29576.17 26417.10 29055.52 27748.75 286
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS240.82 26838.86 26946.69 27853.84 29116.45 29948.61 28949.92 29337.49 28331.67 28660.97 2818.14 29456.42 28828.42 28330.72 28767.19 279
PNet_i23d38.26 27035.42 27046.79 27758.74 28835.48 28959.65 28451.25 29232.45 28823.44 29247.53 2872.04 29758.96 28625.60 28618.09 29345.92 289
pcd1.5k->3k34.07 27135.26 27130.50 28386.92 1410.00 3040.00 29591.58 690.00 2990.00 3000.00 29856.23 1660.00 2970.00 29782.60 13291.49 90
wuykxyi23d39.76 26933.18 27259.51 26846.98 29644.01 27557.70 28667.74 28224.13 29113.98 29634.33 2901.27 29871.33 27834.23 27418.23 29163.18 283
E-PMN31.77 27230.64 27335.15 28052.87 29327.67 29557.09 28747.86 29424.64 29016.40 29433.05 29111.23 29054.90 28914.46 29218.15 29222.87 292
EMVS30.81 27329.65 27434.27 28150.96 29425.95 29756.58 28846.80 29524.01 29215.53 29530.68 29212.47 28954.43 29012.81 29317.05 29422.43 293
cdsmvs_eth3d_5k19.96 27526.61 2750.00 2890.00 3030.00 3040.00 29589.26 1370.00 2990.00 30088.61 11561.62 1240.00 2970.00 2970.00 3010.00 299
MVEpermissive26.22 2330.37 27425.89 27643.81 27944.55 29735.46 29028.87 29439.07 29618.20 29318.58 29340.18 2882.68 29647.37 29117.07 29123.78 29048.60 287
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DUST3R18.61 27621.40 27710.23 2864.82 30010.11 30034.70 29230.74 2971.48 29623.91 29126.07 29328.42 27013.41 29427.12 28515.35 2967.17 294
wuyk23d16.82 27715.94 27819.46 28558.74 28831.45 29239.22 2913.74 3006.84 2956.04 2972.70 2951.27 29824.29 29310.54 29414.40 2972.63 295
ab-mvs-re7.23 2789.64 2790.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 30086.72 1510.00 3020.00 2970.00 2970.00 3010.00 299
test1236.12 2798.11 2800.14 2870.06 3020.09 30271.05 2590.03 3020.04 2980.25 2991.30 2970.05 3000.03 2960.21 2960.01 3000.29 296
testmvs6.04 2808.02 2810.10 2880.08 3010.03 30369.74 2630.04 3010.05 2970.31 2981.68 2960.02 3010.04 2950.24 2950.02 2980.25 297
pcd_1.5k_mvsjas5.26 2817.02 2820.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 29863.15 890.00 2970.00 2970.00 3010.00 299
sosnet-low-res0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
sosnet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
uncertanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
Regformer0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
uanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
test9_res84.90 1195.70 1092.87 59
TEST993.26 2772.96 1588.75 7291.89 5768.44 16685.00 2093.10 3274.36 1395.41 39
train_agg84.97 995.71 893.02 54
Patchmatch-test178.56 25558.71 21164.97 28073.71 26970.00 19880.13 24033.36 26465.60 260
Patchmatch-test75.77 26436.09 28772.86 265
test_893.13 2872.57 2388.68 7491.84 5968.69 16384.87 2593.10 3274.43 1195.16 46
agg_prior282.91 3195.45 1292.70 60
agg_prior92.85 3471.94 3191.78 6284.41 3194.93 55
TestCases79.58 18685.15 16063.62 16479.83 23862.31 21860.32 25686.73 14932.02 26688.96 20850.28 24071.57 23486.15 222
test_prior472.60 2289.01 65
test_prior288.85 6875.41 6784.91 2193.54 2274.28 1483.31 2495.86 4
test_prior86.33 3792.61 3969.59 5692.97 2795.48 3493.91 25
旧先验286.56 14358.10 24487.04 1088.98 20674.07 93
新几何286.29 151
新几何183.42 9193.13 2870.71 4485.48 19157.43 25081.80 5791.98 4763.28 8592.27 14964.60 16792.99 3987.27 203
旧先验191.96 4665.79 11686.37 18393.08 3569.31 4592.74 4288.74 169
无先验87.48 11288.98 14860.00 23494.12 7967.28 14588.97 164
原ACMM286.86 134
原ACMM184.35 7193.01 3268.79 7092.44 3863.96 20581.09 6391.57 5666.06 6595.45 3667.19 14794.82 2588.81 166
test22291.50 5168.26 8384.16 18983.20 21154.63 26079.74 6991.63 5458.97 15191.42 5286.77 214
testdata291.01 18162.37 178
segment_acmp73.08 20
testdata79.97 18090.90 5864.21 15584.71 19759.27 23985.40 1692.91 3662.02 12189.08 20468.95 13491.37 5386.63 218
testdata184.14 19075.71 63
test1286.80 2992.63 3870.70 4591.79 6182.71 5371.67 2996.16 2394.50 2893.54 40
plane_prior790.08 6868.51 80
plane_prior689.84 7268.70 7760.42 144
plane_prior592.44 3895.38 4078.71 5386.32 10391.33 92
plane_prior491.00 69
plane_prior368.60 7978.44 2578.92 78
plane_prior291.25 2679.12 18
plane_prior189.90 71
plane_prior68.71 7590.38 4077.62 2986.16 105
abl_691.81 83
n20.00 303
nn0.00 303
door-mid69.98 278
lessismore_v078.97 19281.01 23657.15 22765.99 28461.16 25382.82 21039.12 25191.34 16959.67 19646.92 28488.43 184
LGP-MVS_train84.50 6689.23 8868.76 7291.94 5575.37 6976.64 12691.51 5754.29 17994.91 5778.44 5583.78 12189.83 147
test1192.23 44
door69.44 280
HQP5-MVS66.98 101
HQP-NCC89.33 8089.17 5976.41 5377.23 117
ACMP_Plane89.33 8089.17 5976.41 5377.23 117
BP-MVS77.47 61
HQP4-MVS77.24 11695.11 4891.03 97
HQP3-MVS92.19 4785.99 107
HQP2-MVS60.17 147
NP-MVS89.62 7468.32 82