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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
HPM-MVS++89.02 289.15 288.63 195.01 176.03 192.38 1392.85 3080.26 1187.78 894.27 1275.89 696.81 687.45 596.44 193.05 53
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
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.
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
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
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
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
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
#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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
test1286.80 2992.63 3870.70 4591.79 6182.71 5371.67 2996.16 2394.50 2893.54 40
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
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
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
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
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
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
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_prior86.33 3792.61 3969.59 5692.97 2795.48 3493.91 25
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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
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
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.
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
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
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
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
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
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
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
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
V977.52 15676.11 16381.73 14784.19 17664.89 13787.26 12088.94 15472.87 10668.65 21581.96 22462.65 10691.72 16072.27 11266.24 25788.60 176
V1477.52 15676.12 16081.70 14884.15 17764.77 13987.21 12188.95 15172.80 10768.79 21281.94 22562.69 10391.72 16072.31 11166.27 25688.60 176
v1777.68 15376.35 15781.69 14984.15 17764.65 14187.33 11688.99 14672.70 11069.25 21082.07 21862.82 9991.79 15572.69 10667.15 25088.63 172
v1677.69 15276.36 15681.68 15084.15 17764.63 14387.33 11688.99 14672.69 11169.31 20982.08 21762.80 10091.79 15572.70 10567.23 24888.63 172
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
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
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
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
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
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
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
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
GBi-Net78.40 13477.40 13981.40 15987.60 13063.01 17888.39 8389.28 13471.63 12375.34 14387.28 13954.80 17391.11 17462.72 17379.57 15890.09 137
test178.40 13477.40 13981.40 15987.60 13063.01 17888.39 8389.28 13471.63 12375.34 14387.28 13954.80 17391.11 17462.72 17379.57 15890.09 137
FMVSNet177.44 16376.12 16081.40 15986.81 14463.01 17888.39 8389.28 13470.49 13774.39 15787.28 13949.06 20991.11 17460.91 18978.52 16590.09 137
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
test_040272.79 20470.44 20779.84 18188.13 11665.99 11185.93 15884.29 20165.57 19067.40 22785.49 18646.92 21792.61 14035.88 27274.38 21680.94 258
OurMVSNet-221017-074.26 18972.42 19379.80 18283.76 19559.59 20385.92 15986.64 17866.39 18366.96 23087.58 13139.46 24991.60 16665.76 15869.27 24188.22 186
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
CR-MVSNet73.37 19571.27 20179.67 18481.32 23365.19 13075.92 24280.30 23459.92 23572.73 16881.19 23152.50 18886.69 22259.84 19577.71 17187.11 209
RPMNet71.62 20968.94 21679.67 18481.32 23365.19 13075.92 24278.30 24657.60 24972.73 16876.45 25852.30 19186.69 22248.14 25077.71 17187.11 209
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
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
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
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
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
lessismore_v078.97 19281.01 23657.15 22765.99 28461.16 25382.82 21039.12 25191.34 16959.67 19646.92 28488.43 184
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
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
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
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
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.
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
.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
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
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
wuyk23d16.82 27715.94 27819.46 28558.74 28831.45 29239.22 2913.74 3006.84 2956.04 2972.70 2951.27 29824.29 29310.54 29414.40 2972.63 295
DUST3R18.61 27621.40 27710.23 2864.82 30010.11 30034.70 29230.74 2971.48 29623.91 29126.07 29328.42 27013.41 29427.12 28515.35 2967.17 294
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
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
sosnet-low-res0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
sosnet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
uncertanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
Regformer0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
ab-mvs-re7.23 2789.64 2790.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 30086.72 1510.00 3020.00 2970.00 2970.00 3010.00 299
uanet0.00 2820.00 2830.00 2890.00 3030.00 3040.00 2950.00 3030.00 2990.00 3000.00 2980.00 3020.00 2970.00 2970.00 3010.00 299
test9_res84.90 1195.70 1092.87 59
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
test_prior472.60 2289.01 65
test_prior288.85 6875.41 6784.91 2193.54 2274.28 1483.31 2495.86 4
旧先验286.56 14358.10 24487.04 1088.98 20674.07 93
新几何286.29 151
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
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
testdata184.14 19075.71 63
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
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