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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted 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
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
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
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.
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
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
MP-MVScopyleft87.71 887.64 887.93 1294.36 1473.88 292.71 1292.65 3677.57 3083.84 3994.40 1172.24 2796.28 2185.65 795.30 1793.62 37
HPM-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
train_agg84.97 995.71 893.02 54
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
test9_res84.90 1195.70 1092.87 59
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
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
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
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
HFP-MVS87.58 987.47 1087.94 1094.58 573.54 993.04 593.24 1376.78 4684.91 2194.44 870.78 3396.61 1284.53 1694.89 2293.66 30
ACMMPR87.44 1087.23 1288.08 794.64 373.59 693.04 593.20 1576.78 4684.66 2794.52 368.81 4896.65 1084.53 1694.90 2194.00 23
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
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
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
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
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
#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
test_prior386.73 2086.86 1986.33 3792.61 3969.59 5688.85 6892.97 2775.41 6784.91 2193.54 2274.28 1495.48 3483.31 2495.86 493.91 25
test_prior288.85 6875.41 6784.91 2193.54 2274.28 1483.31 2495.86 4
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
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
XVS87.18 1586.91 1788.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4294.17 1567.45 5496.60 1483.06 2894.50 2894.07 18
X-MVStestdata80.37 9877.83 13188.00 894.42 1073.33 1392.78 892.99 2479.14 1683.67 4212.47 29467.45 5496.60 1483.06 2894.50 2894.07 18
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
agg_prior282.91 3195.45 1292.70 60
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
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
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
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
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
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
HPM-MVS_fast85.35 3984.95 4086.57 3593.69 2070.58 4692.15 1891.62 6773.89 8582.67 5494.09 1762.60 10795.54 3380.93 4092.93 4093.57 38
CPTT-MVS83.73 4683.33 4784.92 5993.28 2670.86 4292.09 1990.38 9968.75 16279.57 7192.83 3960.60 14293.04 13280.92 4191.56 5190.86 103
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
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
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
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
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
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
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
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
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
MVSFormer82.85 5882.05 6185.24 5187.35 13570.21 4890.50 3690.38 9968.55 16481.32 6089.47 9661.68 12293.46 11378.98 5190.26 6292.05 79
test_djsdf80.30 9979.32 9883.27 9783.98 18865.37 12590.50 3690.38 9968.55 16476.19 13188.70 11156.44 16593.46 11378.98 5180.14 15790.97 100
HQP_MVS83.64 4883.14 4885.14 5290.08 6868.71 7591.25 2692.44 3879.12 1878.92 7891.00 6960.42 14495.38 4078.71 5386.32 10391.33 92
plane_prior592.44 3895.38 4078.71 5386.32 10391.33 92
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
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
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
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.
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
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
BP-MVS77.47 61
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
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
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
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
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
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
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
jajsoiax79.29 12277.96 12883.27 9784.68 16666.57 10589.25 5890.16 11269.20 15675.46 13889.49 9445.75 22493.13 12776.84 6980.80 14790.11 135
mvs_tets79.13 12577.77 13483.22 9984.70 16566.37 10789.17 5990.19 11169.38 15275.40 14189.46 9844.17 23093.15 12576.78 7080.70 14990.14 133
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
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
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
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
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
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
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
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
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-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
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
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
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
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
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
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
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
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
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
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
旧先验286.56 14358.10 24487.04 1088.98 20674.07 93
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
无先验87.48 11288.98 14860.00 23494.12 7967.28 14588.97 164
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
testdata291.01 18162.37 178
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
lessismore_v078.97 19281.01 23657.15 22765.99 28461.16 25382.82 21039.12 25191.34 16959.67 19646.92 28488.43 184
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
ITE_SJBPF78.22 20181.77 22860.57 19883.30 21069.25 15567.54 22587.20 14436.33 26087.28 22054.34 22574.62 21386.80 213
MDTV_nov1_ep13_2view37.79 28675.16 24855.10 25866.53 23449.34 20653.98 22687.94 191
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
YYNet165.03 24162.91 24271.38 24375.85 26356.60 23569.12 26874.66 26657.28 25254.12 27077.87 25345.85 22174.48 26949.95 24361.52 27083.05 248
MDA-MVSNet_test_wron65.03 24162.92 24171.37 24475.93 26256.73 23169.09 26974.73 26357.28 25254.03 27177.89 25245.88 22074.39 27049.89 24461.55 26982.99 250
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
ADS-MVSNet266.20 24063.33 24074.82 22979.92 24458.75 21067.55 27475.19 25853.37 26565.25 24175.86 25942.32 23880.53 24841.57 26568.91 24385.18 231
ADS-MVSNet64.36 24362.88 24368.78 25579.92 24447.17 27167.55 27471.18 27553.37 26565.25 24175.86 25942.32 23873.99 27241.57 26568.91 24385.18 231
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
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
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
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
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
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
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
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
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
111157.11 25456.82 25557.97 26969.10 27928.28 29368.90 27074.54 26754.01 26253.71 27274.51 26223.09 27767.90 28332.28 27761.26 27177.73 267
.test124545.55 26550.02 26132.14 28269.10 27928.28 29368.90 27074.54 26754.01 26253.71 27274.51 26223.09 27767.90 28332.28 2770.02 2980.25 297
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
test123567858.74 25156.89 25464.30 26069.70 27841.87 28071.05 25974.87 26154.06 26150.63 27771.53 26825.30 27474.10 27131.80 28063.10 26676.93 272
ANet_high50.57 26346.10 26563.99 26148.67 29539.13 28370.99 26180.85 22861.39 22431.18 28757.70 28317.02 28573.65 27331.22 28115.89 29579.18 264
testmv53.85 25751.03 25962.31 26461.46 28738.88 28570.95 26274.69 26551.11 27241.26 28166.85 27414.28 28772.13 27629.19 28249.51 28375.93 274
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
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
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
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
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
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
DeepMVS_CXcopyleft27.40 28440.17 29926.90 29624.59 29817.44 29423.95 29048.61 2869.77 29126.48 29218.06 28924.47 28928.83 291
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)
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)
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
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
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
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
cdsmvs_eth3d_5k19.96 27526.61 2750.00 2890.00 3030.00 3040.00 29589.26 1370.00 2990.00 30088.61 11561.62 1240.00 2970.00 2970.00 3010.00 299
pcd_1.5k_mvsjas5.26 2817.02 2820.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 29863.15 890.00 2970.00 2970.00 3010.00 299
pcd1.5k->3k34.07 27135.26 27130.50 28386.92 1410.00 3040.00 29591.58 690.00 2990.00 3000.00 29856.23 1660.00 2970.00 29782.60 13291.49 90
sosnet-low-res0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
sosnet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
uncertanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
Regformer0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
ab-mvs-re7.23 2789.64 2790.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 30086.72 1510.00 3020.00 2970.00 2970.00 3010.00 299
uanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
TEST993.26 2772.96 1588.75 7291.89 5768.44 16685.00 2093.10 3274.36 1395.41 39
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_prior92.85 3471.94 3191.78 6284.41 3194.93 55
test_prior472.60 2289.01 65
test_prior86.33 3792.61 3969.59 5692.97 2795.48 3493.91 25
新几何286.29 151
旧先验191.96 4665.79 11686.37 18393.08 3569.31 4592.74 4288.74 169
原ACMM286.86 134
test22291.50 5168.26 8384.16 18983.20 21154.63 26079.74 6991.63 5458.97 15191.42 5286.77 214
segment_acmp73.08 20
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_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
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