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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
APDe-MVS89.15 189.63 187.73 1394.49 671.69 2693.83 293.96 275.70 5791.06 196.03 176.84 297.03 389.09 195.65 894.47 7
HPM-MVS++89.02 289.15 288.63 195.01 176.03 192.38 1192.85 2580.26 1087.78 794.27 1075.89 696.81 687.45 596.44 193.05 48
CNVR-MVS88.93 389.13 388.33 394.77 273.82 490.51 3393.00 1880.90 788.06 694.06 1676.43 396.84 588.48 295.99 294.34 10
SteuartSystems-ACMMP88.72 488.86 488.32 492.14 3772.96 1393.73 393.67 680.19 1188.10 594.80 273.76 1497.11 187.51 495.82 694.90 3
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS80.84 188.10 588.56 586.73 2792.24 3669.03 5389.57 4893.39 977.53 3289.79 394.12 1478.98 196.58 1485.66 695.72 794.58 4
SD-MVS88.06 688.50 686.71 2892.60 3472.71 1591.81 2093.19 1377.87 2690.32 294.00 1774.83 793.78 8587.63 394.27 2893.65 30
NCCC88.06 688.01 788.24 594.41 1073.62 591.22 2692.83 2681.50 485.79 1393.47 2473.02 1797.00 484.90 994.94 1594.10 15
MP-MVScopyleft87.71 887.64 887.93 1094.36 1273.88 292.71 1092.65 3077.57 2983.84 2994.40 972.24 2196.28 1985.65 795.30 1293.62 32
ACMMPR87.44 987.23 1188.08 694.64 373.59 693.04 593.20 1276.78 4384.66 2294.52 368.81 3596.65 984.53 1294.90 1694.00 20
APD-MVScopyleft87.44 987.52 987.19 2194.24 1372.39 2291.86 1992.83 2673.01 8988.58 494.52 373.36 1596.49 1584.26 1495.01 1492.70 50
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MCST-MVS87.37 1187.25 1087.73 1394.53 572.46 2189.82 4493.82 473.07 8884.86 2192.89 3176.22 496.33 1784.89 1095.13 1394.40 8
#test#87.33 1287.13 1287.94 994.58 473.54 892.34 1293.24 1175.23 6484.91 1894.44 770.78 2796.61 1183.75 1794.89 1793.66 26
XVS87.18 1386.91 1588.00 794.42 873.33 1192.78 692.99 1979.14 1583.67 3294.17 1367.45 4296.60 1283.06 2294.50 2194.07 16
HPM-MVS87.11 1486.98 1387.50 1893.88 1772.16 2592.19 1593.33 1076.07 5483.81 3093.95 1869.77 3196.01 2485.15 894.66 1994.32 11
CP-MVS87.11 1486.92 1487.68 1794.20 1573.86 393.98 192.82 2876.62 4583.68 3194.46 667.93 3895.95 2584.20 1594.39 2493.23 43
DeepC-MVS79.81 287.08 1686.88 1687.69 1691.16 4672.32 2490.31 3793.94 377.12 3782.82 3994.23 1272.13 2297.09 284.83 1195.37 1093.65 30
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast79.65 386.91 1786.62 1887.76 1293.52 2072.37 2391.26 2393.04 1576.62 4584.22 2593.36 2671.44 2596.76 780.82 3395.33 1194.16 13
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_prior386.73 1886.86 1786.33 3392.61 3269.59 4888.85 6292.97 2275.41 6084.91 1893.54 2074.28 1195.48 3283.31 1895.86 493.91 22
PGM-MVS86.68 1986.27 2287.90 1194.22 1473.38 1090.22 3993.04 1575.53 5983.86 2894.42 867.87 4096.64 1082.70 2694.57 2093.66 26
mPP-MVS86.67 2086.32 2187.72 1594.41 1073.55 792.74 892.22 3876.87 4182.81 4094.25 1166.44 4996.24 2082.88 2594.28 2793.38 39
Regformer-286.63 2186.53 1986.95 2489.33 7071.24 2988.43 6992.05 4382.50 186.88 990.09 7174.45 995.61 2884.38 1390.63 5194.01 19
PHI-MVS86.43 2286.17 2487.24 2090.88 5170.96 3292.27 1494.07 172.45 10085.22 1691.90 4269.47 3296.42 1683.28 2095.94 394.35 9
Regformer-186.41 2386.33 2086.64 2989.33 7070.93 3388.43 6991.39 6182.14 286.65 1090.09 7174.39 1095.01 4883.97 1690.63 5193.97 21
CSCG86.41 2386.19 2387.07 2392.91 2872.48 2090.81 2993.56 773.95 7583.16 3791.07 5575.94 595.19 4079.94 3994.38 2593.55 35
patchmatch test85.97 2585.88 2586.22 3692.69 3069.53 5091.93 1892.99 1973.54 8185.94 1194.51 565.80 5795.61 2883.04 2492.51 3893.53 37
ACMMPcopyleft85.89 2685.39 2887.38 1993.59 1972.63 1792.74 893.18 1476.78 4380.73 5493.82 1964.33 6596.29 1882.67 2790.69 5093.23 43
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
CDPH-MVS85.76 2785.29 3187.17 2293.49 2171.08 3088.58 6792.42 3468.32 14384.61 2393.48 2272.32 2096.15 2279.00 4095.43 994.28 12
TSAR-MVS85.71 2885.33 2986.84 2591.34 4472.50 1989.07 5887.28 14376.41 4785.80 1290.22 6974.15 1395.37 3881.82 2991.88 4092.65 52
Regformer-485.68 2985.45 2786.35 3288.95 8269.67 4788.29 7791.29 6381.73 385.36 1590.01 7372.62 1895.35 3983.28 2087.57 7594.03 18
3Dnovator+77.84 485.48 3084.47 3588.51 291.08 4773.49 993.18 493.78 580.79 876.66 10593.37 2560.40 12896.75 877.20 5393.73 3195.29 1
MSLP-MVS85.43 3185.76 2684.45 6091.93 3970.24 4090.71 3092.86 2477.46 3484.22 2592.81 3567.16 4592.94 11280.36 3594.35 2690.16 107
DELS-MVS85.41 3285.30 3085.77 3988.49 9567.93 7685.52 14293.44 878.70 2283.63 3489.03 9474.57 895.71 2780.26 3794.04 2993.66 26
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
HPM-MVS_fast85.35 3384.95 3386.57 3193.69 1870.58 3992.15 1691.62 5473.89 7682.67 4294.09 1562.60 9395.54 3180.93 3192.93 3393.57 34
Regformer-385.23 3485.07 3285.70 4088.95 8269.01 5588.29 7789.91 9680.95 685.01 1790.01 7372.45 1994.19 6982.50 2887.57 7593.90 24
MVS_111021_HR85.14 3584.75 3486.32 3591.65 4272.70 1685.98 13390.33 8276.11 5382.08 4491.61 4871.36 2694.17 7081.02 3092.58 3792.08 61
EI-MVSNet-Vis84.19 3683.81 3685.31 4288.18 10267.85 7787.66 9089.73 10080.05 1382.95 3889.59 8070.74 2894.82 5480.66 3484.72 9993.28 42
EI-MVSNet-UG83.81 3783.38 3885.09 4687.87 11067.53 8187.44 10089.66 10179.74 1482.23 4389.41 8970.24 2994.74 5679.95 3883.92 10392.99 49
CPTT-MVS83.73 3883.33 3984.92 5193.28 2370.86 3592.09 1790.38 7968.75 14079.57 5992.83 3360.60 12493.04 11180.92 3291.56 4490.86 85
EPNet83.72 3982.92 4286.14 3884.22 15669.48 5191.05 2885.27 16581.30 576.83 10291.65 4566.09 5395.56 3076.00 6093.85 3093.38 39
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP_MVS83.64 4083.14 4085.14 4590.08 6068.71 6491.25 2492.44 3179.12 1778.92 6691.00 5860.42 12695.38 3678.71 4386.32 8891.33 74
Vis-MVSNetpermissive83.46 4182.80 4485.43 4190.25 5868.74 6390.30 3890.13 8976.33 5280.87 5392.89 3161.00 11994.20 6872.45 8890.97 4893.35 41
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MG-MVS83.41 4283.45 3783.28 8492.74 2962.28 15988.17 8089.50 10375.22 6581.49 4792.74 3666.75 4695.11 4272.85 8191.58 4392.45 53
EPP-MVSNet83.40 4383.02 4184.57 5690.13 5964.47 13192.32 1390.73 7274.45 7079.35 6291.10 5369.05 3495.12 4172.78 8287.22 7994.13 14
3Dnovator76.31 583.38 4482.31 4886.59 3087.94 10972.94 1490.64 3192.14 4277.21 3575.47 11792.83 3358.56 13394.72 5773.24 8092.71 3692.13 60
IS-MVSNet83.15 4582.81 4384.18 6889.94 6263.30 14691.59 2188.46 13379.04 1979.49 6092.16 3765.10 6194.28 6467.71 11491.86 4194.95 2
DP-MVS Recon83.11 4682.09 5086.15 3794.44 770.92 3488.79 6492.20 3970.53 12179.17 6391.03 5764.12 6796.03 2368.39 11390.14 5691.50 72
PAPM_NR83.02 4782.41 4584.82 5392.47 3566.37 9587.93 8691.80 5073.82 7777.32 9490.66 6267.90 3994.90 5170.37 10189.48 6293.19 45
VDD-MVS83.01 4882.36 4784.96 4991.02 4866.40 9488.91 6088.11 13577.57 2984.39 2493.29 2752.19 16793.91 7977.05 5488.70 6994.57 5
MVSFormer82.85 4982.05 5185.24 4487.35 12370.21 4190.50 3490.38 7968.55 14181.32 4889.47 8461.68 10793.46 9478.98 4190.26 5492.05 62
OMC-MVS82.69 5081.97 5384.85 5288.75 8967.42 8287.98 8390.87 7174.92 6779.72 5891.65 4562.19 10493.96 7675.26 6986.42 8793.16 46
PVSNet_Blended_VisFu82.62 5181.83 5484.96 4990.80 5369.76 4688.74 6591.70 5369.39 13278.96 6588.46 10765.47 5894.87 5374.42 7288.57 7090.24 105
MVS_111021_LR82.61 5282.11 4984.11 6988.82 8671.58 2785.15 14386.16 15874.69 6880.47 5591.04 5662.29 10190.55 15880.33 3690.08 5790.20 106
HQP-MVS82.61 5282.02 5284.37 6189.33 7066.98 8989.17 5392.19 4076.41 4777.23 9790.23 6860.17 12995.11 4277.47 5185.99 9291.03 79
CLD-MVS82.31 5481.65 5584.29 6588.47 9667.73 8085.81 13892.35 3675.78 5578.33 7886.58 14764.01 6894.35 6276.05 5987.48 7790.79 86
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
VNet82.21 5582.41 4581.62 13190.82 5260.93 16484.47 15489.78 9876.36 5184.07 2791.88 4364.71 6490.26 16070.68 9888.89 6693.66 26
LPG-MVS_test82.08 5681.27 5884.50 5889.23 7868.76 6190.22 3991.94 4775.37 6276.64 10791.51 5054.29 15494.91 4978.44 4583.78 10489.83 120
PS-MVSNAJss82.07 5781.31 5784.34 6486.51 13267.27 8689.27 5191.51 5771.75 10779.37 6190.22 6963.15 7794.27 6577.69 4982.36 11691.49 73
API-MVS81.99 5881.23 5984.26 6690.94 4970.18 4391.10 2789.32 10671.51 11378.66 7088.28 11265.26 5995.10 4564.74 13991.23 4787.51 172
UniMVSNet_NR-MVSNet81.88 5981.54 5682.92 10088.46 9763.46 14287.13 11092.37 3580.19 1178.38 7689.14 9171.66 2493.05 10970.05 10376.46 16892.25 56
MAR-MVS81.84 6080.70 6485.27 4391.32 4571.53 2889.82 4490.92 7069.77 12878.50 7286.21 15462.36 10094.52 6165.36 13392.05 3989.77 123
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
LFMVS81.82 6181.23 5983.57 7991.89 4063.43 14489.84 4381.85 19677.04 3983.21 3593.10 2852.26 16693.43 9871.98 9489.95 5993.85 25
PS-MVSNAJ81.69 6281.02 6283.70 7789.51 6768.21 7484.28 16090.09 9070.79 11881.26 5085.62 16063.15 7794.29 6375.62 6688.87 6788.59 150
PAPR81.66 6380.89 6383.99 7490.27 5764.00 14086.76 12191.77 5268.84 13977.13 10189.50 8167.63 4194.88 5267.55 11588.52 7193.09 47
UniMVSNet (Re)81.60 6481.11 6183.09 9188.38 9964.41 13387.60 9193.02 1778.42 2578.56 7188.16 11369.78 3093.26 10069.58 10776.49 16791.60 68
VDDNet81.52 6580.67 6584.05 7290.44 5564.13 13789.73 4685.91 16171.11 11583.18 3693.48 2250.54 17693.49 9373.40 7988.25 7394.54 6
ACMP74.13 681.51 6680.57 6684.36 6289.42 6868.69 6789.97 4291.50 5974.46 6975.04 13290.41 6553.82 15994.54 5977.56 5082.91 10989.86 119
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
jason81.39 6780.29 7184.70 5586.63 13169.90 4585.95 13486.77 14863.24 18381.07 5289.47 8461.08 11892.15 12578.33 4890.07 5892.05 62
jason: jason.
lupinMVS81.39 6780.27 7284.76 5487.35 12370.21 4185.55 14086.41 15362.85 18781.32 4888.61 10361.68 10792.24 12478.41 4790.26 5491.83 65
DU-MVS81.12 6980.52 6882.90 10187.80 11363.46 14287.02 11491.87 4979.01 2078.38 7689.07 9265.02 6293.05 10970.05 10376.46 16892.20 57
PVSNet_Blended80.98 7080.34 6982.90 10188.85 8465.40 10884.43 15792.00 4467.62 14678.11 8685.05 16566.02 5594.27 6571.52 9689.50 6189.01 133
QAPM80.88 7179.50 8385.03 4788.01 10868.97 5791.59 2192.00 4466.63 15675.15 12992.16 3757.70 13595.45 3463.52 14288.76 6890.66 91
liao80.84 7279.77 7684.05 7293.11 2570.78 3684.66 15085.42 16457.37 22281.76 4692.02 3963.41 7194.12 7167.28 11892.93 3387.26 178
TranMVSNet+NR-MVSNet80.84 7280.31 7082.42 11287.85 11162.33 15787.74 8991.33 6280.55 977.99 8889.86 7565.23 6092.62 11567.05 12275.24 18392.30 54
UGNet80.83 7479.59 7884.54 5788.04 10668.09 7589.42 4988.16 13476.95 4076.22 11189.46 8649.30 18193.94 7868.48 11290.31 5391.60 68
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
XVG-OURS-SEG-HR80.81 7579.76 7783.96 7685.60 14168.78 6083.54 16990.50 7670.66 12076.71 10491.66 4460.69 12291.26 14276.94 5581.58 12291.83 65
ACMM73.20 880.78 7679.84 7583.58 7889.31 7568.37 7089.99 4191.60 5570.28 12477.25 9589.66 7853.37 16193.53 9274.24 7482.85 11088.85 137
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
114514_t80.68 7779.51 8284.20 6794.09 1667.27 8689.64 4791.11 6758.75 21374.08 13890.72 6158.10 13495.04 4769.70 10689.42 6390.30 104
VPA-MVSNet80.60 7880.55 6780.76 14588.07 10560.80 16786.86 11691.58 5675.67 5880.24 5689.45 8863.34 7290.25 16170.51 10079.22 14291.23 77
PVSNet_BlendedMVS80.60 7880.02 7382.36 11488.85 8465.40 10886.16 13192.00 4469.34 13478.11 8686.09 15666.02 5594.27 6571.52 9682.06 11787.39 174
AdaColmapbinary80.58 8079.42 8484.06 7193.09 2668.91 5889.36 5088.97 12169.27 13575.70 11689.69 7757.20 13895.77 2663.06 14688.41 7287.50 173
EI-MVSNet80.52 8179.98 7482.12 11584.28 15363.19 14986.41 12788.95 12374.18 7278.69 6887.54 12266.62 4792.43 12072.57 8780.57 13290.74 88
XVG-OURS80.41 8279.23 9283.97 7585.64 14069.02 5483.03 17290.39 7871.09 11677.63 9391.49 5254.62 15391.35 14075.71 6483.47 10691.54 70
v1neww80.40 8379.54 7982.98 9684.10 16364.51 12787.57 9390.22 8473.25 8278.47 7386.65 14362.83 8493.86 8175.72 6277.02 15890.58 93
v7new80.40 8379.54 7982.98 9684.10 16364.51 12787.57 9390.22 8473.25 8278.47 7386.65 14362.83 8493.86 8175.72 6277.02 15890.58 93
v680.40 8379.54 7982.98 9684.09 16564.50 12987.57 9390.22 8473.25 8278.47 7386.63 14562.84 8393.86 8175.73 6177.02 15890.58 93
PCF-MVS73.52 780.38 8678.84 9785.01 4887.71 11668.99 5683.65 16691.46 6063.00 18577.77 9190.28 6666.10 5295.09 4661.40 16188.22 7490.94 83
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
X-MVStestdata80.37 8777.83 11488.00 794.42 873.33 1192.78 692.99 1979.14 1583.67 3212.47 26167.45 4296.60 1283.06 2294.50 2194.07 16
test_djsdf80.30 8879.32 8783.27 8583.98 17165.37 11090.50 3490.38 7968.55 14176.19 11288.70 9956.44 14093.46 9478.98 4180.14 13790.97 82
v780.24 8979.26 9183.15 8984.07 16964.94 11887.56 9690.67 7372.26 10378.28 7986.51 15061.45 11194.03 7575.14 7077.41 15390.49 98
v2v48280.23 9079.29 9083.05 9383.62 17664.14 13687.04 11389.97 9373.61 7878.18 8587.22 13061.10 11793.82 8476.11 5876.78 16691.18 78
NR-MVSNet80.23 9079.38 8582.78 10887.80 11363.34 14586.31 12991.09 6879.01 2072.17 15489.07 9267.20 4492.81 11466.08 12875.65 17692.20 57
divwei89l23v2f11280.19 9279.31 8882.85 10383.84 17364.11 13987.13 11090.08 9173.13 8578.27 8086.39 15262.69 9093.75 8675.40 6876.82 16490.68 89
v180.19 9279.31 8882.85 10383.83 17464.12 13887.14 10890.07 9273.13 8578.27 8086.38 15362.72 8993.75 8675.41 6776.82 16490.68 89
IterMVS-LS80.06 9479.38 8582.11 11685.89 13663.20 14886.79 11889.34 10574.19 7175.45 11986.72 13666.62 4792.39 12272.58 8676.86 16290.75 87
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v879.97 9579.02 9582.80 10684.09 16564.50 12987.96 8490.29 8374.13 7475.24 12886.81 13562.88 8193.89 8074.39 7375.40 18090.00 116
OpenMVScopyleft72.83 1079.77 9678.33 10684.09 7085.17 14369.91 4490.57 3290.97 6966.70 15272.17 15491.91 4154.70 15193.96 7661.81 15990.95 4988.41 158
v1079.74 9778.67 9882.97 9984.06 17064.95 11787.88 8890.62 7573.11 8775.11 13086.56 14861.46 11094.05 7473.68 7675.55 17789.90 117
BH-RMVSNet79.61 9878.44 10483.14 9089.38 6965.93 9984.95 14687.15 14473.56 8078.19 8489.79 7656.67 13993.36 9959.53 17486.74 8490.13 109
ab-mvs79.51 9978.97 9681.14 14188.46 9760.91 16583.84 16489.24 11070.36 12379.03 6488.87 9663.23 7690.21 16265.12 13482.57 11492.28 55
WR-MVS79.49 10079.22 9380.27 15288.79 8858.35 18385.06 14488.61 13178.56 2377.65 9288.34 11063.81 7090.66 15764.98 13777.22 15691.80 67
BH-untuned79.47 10178.60 10182.05 11789.19 8065.91 10086.07 13288.52 13272.18 10475.42 12087.69 11761.15 11693.54 9160.38 16786.83 8386.70 190
mvs_anonymous79.42 10279.11 9480.34 14984.45 15257.97 18982.59 17387.62 14067.40 15076.17 11488.56 10568.47 3689.59 17070.65 9986.05 9193.47 38
V4279.38 10378.24 10982.83 10581.10 20765.50 10785.55 14089.82 9771.57 11278.21 8386.12 15560.66 12393.18 10475.64 6575.46 17989.81 122
jajsoiax79.29 10477.96 11183.27 8584.68 14866.57 9389.25 5290.16 8869.20 13775.46 11889.49 8245.75 19793.13 10776.84 5680.80 12890.11 110
TAPA-MVS73.13 979.15 10577.94 11282.79 10789.59 6662.99 15388.16 8191.51 5765.77 16377.14 10091.09 5460.91 12093.21 10150.26 21287.05 8192.17 59
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
mvs_tets79.13 10677.77 11583.22 8784.70 14766.37 9589.17 5390.19 8769.38 13375.40 12189.46 8644.17 20493.15 10576.78 5780.70 13090.14 108
CDS-MVSNet79.07 10777.70 11683.17 8887.60 11868.23 7384.40 15886.20 15767.49 14876.36 10986.54 14961.54 10990.79 15561.86 15887.33 7890.49 98
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSTER79.01 10877.88 11382.38 11383.07 18464.80 12084.08 16388.95 12369.01 13878.69 6887.17 13254.70 15192.43 12074.69 7180.57 13289.89 118
TAMVS78.89 10977.51 11883.03 9487.80 11367.79 7984.72 14985.05 16867.63 14576.75 10387.70 11662.25 10290.82 15458.53 18087.13 8090.49 98
diffmvs78.78 11078.64 10079.22 16384.48 15156.11 21282.12 17987.53 14265.53 16676.66 10588.73 9868.25 3787.97 18668.73 11085.70 9593.59 33
VPNet78.69 11178.66 9978.76 17088.31 10055.72 21484.45 15686.63 15076.79 4278.26 8290.55 6459.30 13189.70 16966.63 12377.05 15790.88 84
WR-MVS_H78.51 11278.49 10278.56 17288.02 10756.38 20888.43 6992.67 2977.14 3673.89 13987.55 12166.25 5189.24 17558.92 17673.55 19590.06 114
MVS_Test78.49 11378.26 10879.18 16783.29 18056.48 20582.45 17486.59 15166.73 15176.13 11588.46 10766.33 5089.04 17870.30 10284.06 10292.01 64
GBi-Net78.40 11477.40 11981.40 13687.60 11863.01 15088.39 7389.28 10771.63 10975.34 12387.28 12654.80 14891.11 14562.72 14779.57 13890.09 111
test178.40 11477.40 11981.40 13687.60 11863.01 15088.39 7389.28 10771.63 10975.34 12387.28 12654.80 14891.11 14562.72 14779.57 13890.09 111
Vis-MVSNet (Re-imp)78.36 11678.45 10378.07 17888.64 9151.78 22786.70 12279.63 21074.14 7375.11 13090.83 6061.29 11489.75 16858.10 18491.60 4292.69 51
CP-MVSNet78.22 11778.34 10577.84 18087.83 11254.54 21887.94 8591.17 6677.65 2773.48 14188.49 10662.24 10388.43 18362.19 15374.07 19090.55 96
BH-w/o78.21 11877.33 12180.84 14388.81 8765.13 11484.87 14787.85 13769.75 12974.52 13684.74 17061.34 11293.11 10858.24 18385.84 9484.27 210
FMVSNet278.20 11977.21 12281.20 13987.60 11862.89 15487.47 9989.02 11471.63 10975.29 12787.28 12654.80 14891.10 14862.38 15179.38 14189.61 125
HC-MVS78.19 12076.99 12581.78 12185.66 13966.99 8884.66 15090.47 7755.08 23072.02 15885.27 16363.83 6994.11 7366.10 12789.80 6084.24 211
Baseline_NR-MVSNet78.15 12178.33 10677.61 18485.79 13756.21 21186.78 11985.76 16273.60 7977.93 8987.57 12065.02 6288.99 17967.14 12175.33 18187.63 169
CNLPA78.08 12276.79 12981.97 11990.40 5671.07 3187.59 9284.55 17066.03 16272.38 15389.64 7957.56 13686.04 19859.61 17283.35 10788.79 139
PLCcopyleft70.83 1178.05 12376.37 13283.08 9291.88 4167.80 7888.19 7989.46 10464.33 17669.87 17888.38 10953.66 16093.58 9058.86 17782.73 11287.86 166
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PS-CasMVS78.01 12478.09 11077.77 18287.71 11654.39 21988.02 8291.22 6477.50 3373.26 14288.64 10260.73 12188.41 18461.88 15773.88 19490.53 97
V477.95 12576.37 13282.67 10979.40 22165.52 10586.43 12589.94 9472.28 10172.14 15784.95 16655.72 14393.44 9673.64 7772.86 19889.05 131
HY-MVS69.67 1277.95 12577.15 12480.36 14887.57 12260.21 17183.37 17187.78 13866.11 15975.37 12287.06 13463.27 7490.48 15961.38 16282.43 11590.40 103
v5277.94 12776.37 13282.67 10979.39 22265.52 10586.43 12589.94 9472.28 10172.15 15684.94 16755.70 14493.44 9673.64 7772.84 19989.06 130
FMVSNet377.88 12876.85 12780.97 14286.84 12962.36 15686.52 12488.77 13071.13 11475.34 12386.66 14254.07 15791.10 14862.72 14779.57 13889.45 127
PEN-MVS77.73 12977.69 11777.84 18087.07 12853.91 22187.91 8791.18 6577.56 3173.14 14488.82 9761.23 11589.17 17659.95 16972.37 20090.43 101
v1677.69 13076.36 13581.68 12884.15 16064.63 12587.33 10288.99 11872.69 9869.31 18582.08 18962.80 8791.79 12972.70 8467.23 21888.63 144
v1777.68 13176.35 13681.69 12784.15 16064.65 12387.33 10288.99 11872.70 9769.25 18682.07 19062.82 8691.79 12972.69 8567.15 22088.63 144
PAPM77.68 13176.40 13181.51 13487.29 12561.85 16183.78 16589.59 10264.74 17171.23 16488.70 9962.59 9493.66 8952.66 20687.03 8289.01 133
v1877.67 13376.35 13681.64 13084.09 16564.47 13187.27 10589.01 11672.59 9969.39 18282.04 19162.85 8291.80 12872.72 8367.20 21988.63 144
V1477.52 13476.12 13981.70 12684.15 16064.77 12187.21 10788.95 12372.80 9468.79 18881.94 19762.69 9091.72 13272.31 9066.27 22588.60 148
V977.52 13476.11 14281.73 12584.19 15964.89 11987.26 10688.94 12672.87 9368.65 19181.96 19662.65 9291.72 13272.27 9166.24 22688.60 148
v1577.51 13676.12 13981.66 12984.09 16564.65 12387.14 10888.96 12272.76 9568.90 18781.91 19862.74 8891.73 13172.32 8966.29 22488.61 147
v1277.51 13676.09 14381.76 12484.22 15664.99 11687.30 10488.93 12772.92 9068.48 19381.97 19462.54 9691.70 13572.24 9266.21 22888.58 151
v1377.50 13876.07 14481.77 12284.23 15565.07 11587.34 10188.91 12872.92 9068.35 19481.97 19462.53 9791.69 13672.20 9366.22 22788.56 152
HyFIR77.49 13977.16 12378.47 17588.18 10258.04 18675.75 21884.17 17560.53 19976.25 11089.49 8262.42 9987.81 18968.64 11189.00 6589.56 126
v1177.45 14076.06 14581.59 13384.22 15664.52 12687.11 11289.02 11472.76 9568.76 18981.90 19962.09 10591.71 13471.98 9466.73 22188.56 152
FMVSNet177.44 14176.12 13981.40 13686.81 13063.01 15088.39 7389.28 10770.49 12274.39 13787.28 12649.06 18391.11 14560.91 16478.52 14490.09 111
TR-MVS77.44 14176.18 13881.20 13988.24 10163.24 14784.61 15386.40 15467.55 14777.81 9086.48 15154.10 15693.15 10557.75 18582.72 11387.20 179
1112_ss77.40 14376.43 13080.32 15089.11 8160.41 17083.65 16687.72 13962.13 19273.05 14586.72 13662.58 9589.97 16662.11 15580.80 12890.59 92
LCM-MVSNet-Re77.05 14476.94 12677.36 18687.20 12651.60 22880.06 19380.46 20475.20 6667.69 19886.72 13662.48 9888.98 18063.44 14389.25 6491.51 71
DTE-MVSNet76.99 14576.80 12877.54 18586.24 13453.06 22487.52 9790.66 7477.08 3872.50 15188.67 10160.48 12589.52 17157.33 18970.74 20890.05 115
LS3D76.95 14674.82 15283.37 8290.45 5467.36 8589.15 5786.94 14761.87 19469.52 18090.61 6351.71 17194.53 6046.38 22686.71 8588.21 161
GA-MVS76.87 14775.17 15081.97 11982.75 19162.58 15581.44 18486.35 15672.16 10674.74 13482.89 18046.20 19292.02 12768.85 10981.09 12591.30 76
DP-MVS76.78 14874.57 15483.42 8093.29 2269.46 5288.55 6883.70 17863.98 18070.20 17088.89 9554.01 15894.80 5546.66 22381.88 12086.01 198
cascas76.72 14974.64 15382.99 9585.78 13865.88 10182.33 17789.21 11160.85 19872.74 14781.02 20547.28 18893.75 8667.48 11685.02 9689.34 128
liao176.53 15075.30 14980.21 15383.93 17262.32 15884.66 15088.81 12960.23 20370.16 17284.07 17155.30 14790.73 15667.37 11783.21 10887.59 171
Test_1112_low_res76.40 15175.44 14879.27 16189.28 7658.09 18581.69 18187.07 14559.53 20972.48 15286.67 14161.30 11389.33 17360.81 16680.15 13690.41 102
F-COLMAP76.38 15274.33 15782.50 11189.28 7666.95 9188.41 7289.03 11364.05 17866.83 20488.61 10346.78 19192.89 11357.48 18678.55 14387.67 168
LTVRE_ROB69.57 1376.25 15374.54 15681.41 13588.60 9264.38 13479.24 19989.12 11270.76 11969.79 17987.86 11449.09 18293.20 10256.21 19480.16 13586.65 191
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
XVG-ACMP-BASELINE76.11 15474.27 15881.62 13183.20 18164.67 12283.60 16889.75 9969.75 12971.85 15987.09 13332.78 23592.11 12669.99 10580.43 13488.09 163
ACMH+68.96 1476.01 15574.01 15982.03 11888.60 9265.31 11188.86 6187.55 14170.25 12567.75 19787.47 12441.27 21593.19 10358.37 18175.94 17387.60 170
ACMH67.68 1675.89 15673.93 16081.77 12288.71 9066.61 9288.62 6689.01 11669.81 12766.78 20586.70 14041.95 21491.51 13955.64 19578.14 14987.17 180
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IB-MVS68.01 1575.85 15773.36 16483.31 8384.76 14666.03 9783.38 17085.06 16770.21 12669.40 18181.05 20445.76 19694.66 5865.10 13575.49 17889.25 129
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
WTY-MVS75.65 15875.68 14675.57 19886.40 13356.82 19977.92 20882.40 18965.10 17076.18 11387.72 11563.13 7980.90 21660.31 16881.96 11889.00 135
EPNet_dtu75.46 15974.86 15177.23 18882.57 19454.60 21786.89 11583.09 18371.64 10866.25 20985.86 15855.99 14288.04 18554.92 19686.55 8689.05 131
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
XXY-MVS75.41 16075.56 14774.96 20083.59 17757.82 19280.59 19183.87 17766.54 15774.93 13388.31 11163.24 7580.09 22062.16 15476.85 16386.97 185
TransMVSNet (Re)75.39 16174.56 15577.86 17985.50 14257.10 19786.78 11986.09 16072.17 10571.53 16387.34 12563.01 8089.31 17456.84 19161.83 23687.17 180
CostFormer75.24 16273.90 16179.27 16182.65 19358.27 18480.80 18682.73 18761.57 19575.33 12683.13 17955.52 14591.07 15164.98 13778.34 14888.45 156
PT_06_test75.20 16373.77 16279.49 16082.69 19260.19 17282.34 17586.99 14669.71 13172.52 15078.31 21856.27 14190.07 16562.03 15673.11 19788.23 159
PatchFormer-LS_test74.50 16473.05 16578.86 16982.95 18759.55 17681.65 18282.30 19167.44 14971.62 16278.15 22152.34 16488.92 18265.05 13675.90 17488.12 162
IterMVS74.29 16572.94 16678.35 17681.53 20263.49 14181.58 18382.49 18868.06 14469.99 17583.69 17551.66 17285.54 20165.85 13071.64 20586.01 198
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OurMVSNet-221017-074.26 16672.42 16979.80 15683.76 17559.59 17485.92 13686.64 14966.39 15866.96 20387.58 11939.46 22091.60 13865.76 13169.27 21188.22 160
EG-PatchMatch MVS74.04 16771.82 17380.71 14684.92 14567.42 8285.86 13788.08 13666.04 16164.22 21883.85 17235.10 23492.56 11857.44 18780.83 12782.16 225
Test473.95 16872.20 17079.21 16482.91 18858.94 17881.25 18582.17 19265.21 16771.05 16682.44 18344.21 20290.17 16363.29 14477.28 15488.53 154
DWT-MVSNet_test73.70 16971.86 17279.21 16482.91 18858.94 17882.34 17582.17 19265.21 16771.05 16678.31 21844.21 20290.17 16363.29 14477.28 15488.53 154
sss73.60 17073.64 16373.51 21082.80 19055.01 21676.12 21381.69 19762.47 19174.68 13585.85 15957.32 13778.11 22760.86 16580.93 12687.39 174
tpmp4_e2373.45 17171.17 18080.31 15183.55 17859.56 17581.88 18082.33 19057.94 21870.51 16981.62 20051.19 17591.63 13753.96 20077.51 15289.75 124
SixPastTwentyTwo73.37 17271.26 17979.70 15785.08 14457.89 19185.57 13983.56 17971.03 11765.66 21085.88 15742.10 21292.57 11759.11 17563.34 23388.65 143
CR-MVSNet73.37 17271.27 17879.67 15881.32 20565.19 11275.92 21580.30 20659.92 20672.73 14881.19 20252.50 16286.69 19359.84 17077.71 15087.11 183
MSDG73.36 17470.99 18180.49 14784.51 15065.80 10280.71 18886.13 15965.70 16465.46 21183.74 17444.60 20090.91 15351.13 21076.89 16184.74 209
tpm273.26 17571.46 17578.63 17183.34 17956.71 20280.65 18980.40 20556.63 22573.55 14082.02 19251.80 17091.24 14356.35 19378.42 14787.95 164
RPSCF73.23 17671.46 17578.54 17382.50 19559.85 17382.18 17882.84 18658.96 21171.15 16589.41 8945.48 19984.77 20458.82 17871.83 20491.02 81
PatchmatchNetpermissive73.12 17771.33 17778.49 17483.18 18260.85 16679.63 19678.57 21464.13 17771.73 16079.81 21351.20 17485.97 19957.40 18876.36 17088.66 142
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
COLMAP_ROBcopyleft66.92 1773.01 17870.41 18580.81 14487.13 12765.63 10488.30 7684.19 17462.96 18663.80 22087.69 11738.04 22592.56 11846.66 22374.91 18484.24 211
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CVMVSNet72.99 17972.58 16774.25 20784.28 15350.85 23386.41 12783.45 18044.56 24873.23 14387.54 12249.38 17985.70 20065.90 12978.44 14686.19 195
test-LLR72.94 18072.43 16874.48 20481.35 20358.04 18678.38 20477.46 21866.66 15369.95 17679.00 21648.06 18679.24 22266.13 12584.83 9786.15 196
test_040272.79 18170.44 18479.84 15588.13 10465.99 9885.93 13584.29 17265.57 16567.40 20085.49 16146.92 19092.61 11635.88 24274.38 18980.94 227
tpmrst72.39 18272.13 17173.18 21280.54 21249.91 23579.91 19579.08 21263.11 18471.69 16179.95 21055.32 14682.77 21165.66 13273.89 19386.87 186
PatchMatch-RL72.38 18370.90 18276.80 19188.60 9267.38 8479.53 19776.17 22462.75 18969.36 18382.00 19345.51 19884.89 20353.62 20180.58 13178.12 235
tpm72.37 18471.71 17474.35 20682.19 19752.00 22579.22 20077.29 22064.56 17372.95 14683.68 17651.35 17383.26 21058.33 18275.80 17587.81 167
PVSNet64.34 1872.08 18570.87 18375.69 19786.21 13556.44 20774.37 22680.73 20262.06 19370.17 17182.23 18742.86 20883.31 20954.77 19784.45 10087.32 176
RPMNet71.62 18668.94 19379.67 15881.32 20565.19 11275.92 21578.30 21657.60 22072.73 14876.45 22852.30 16586.69 19348.14 22077.71 15087.11 183
test-mter71.41 18770.39 18674.48 20481.35 20358.04 18678.38 20477.46 21860.32 20269.95 17679.00 21636.08 23279.24 22266.13 12584.83 9786.15 196
K. test v371.19 18868.51 19579.21 16483.04 18557.78 19384.35 15976.91 22272.90 9262.99 22382.86 18139.27 22191.09 15061.65 16052.66 24888.75 140
tpmvs71.09 18969.29 18976.49 19282.04 19856.04 21378.92 20381.37 19964.05 17867.18 20178.28 22049.74 17889.77 16749.67 21572.37 20083.67 214
pm-mvs170.87 19069.03 19176.39 19379.41 22058.92 18080.64 19078.89 21355.71 22767.14 20283.58 17748.48 18585.25 20252.94 20574.48 18884.99 206
Patchmtry70.74 19169.16 19075.49 19980.72 20954.07 22074.94 22580.30 20658.34 21470.01 17381.19 20252.50 16286.54 19553.37 20271.09 20685.87 200
MIMVSNet70.69 19269.30 18874.88 20184.52 14956.35 20975.87 21779.42 21164.59 17267.76 19682.41 18441.10 21681.54 21546.64 22581.34 12386.75 189
tpm cat170.57 19368.31 19777.35 18782.41 19657.95 19078.08 20780.22 20852.04 24068.54 19277.66 22452.00 16987.84 18851.77 20772.07 20386.25 194
OpenMVS_ROBcopyleft64.09 1970.56 19468.19 19877.65 18380.26 21359.41 17785.01 14582.96 18558.76 21265.43 21282.33 18537.63 22891.23 14445.34 23076.03 17282.32 223
USDC70.33 19568.37 19676.21 19580.60 21156.23 21079.19 20186.49 15260.89 19761.29 22485.47 16231.78 23689.47 17253.37 20276.21 17182.94 222
CMPMVSbinary51.72 2170.19 19668.16 19976.28 19473.15 24057.55 19479.47 19883.92 17648.02 24656.48 23684.81 16843.13 20686.42 19762.67 15081.81 12184.89 207
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
TESTMET0.1,169.89 19769.00 19272.55 21379.27 22456.85 19878.38 20474.71 23457.64 21968.09 19577.19 22637.75 22676.70 23263.92 14184.09 10184.10 213
FMVSNet569.50 19867.96 20174.15 20882.97 18655.35 21580.01 19482.12 19462.56 19063.02 22181.53 20136.92 22981.92 21348.42 21874.06 19185.17 205
PMMVS69.34 19968.67 19471.35 21975.67 23262.03 16075.17 22073.46 23950.00 24468.68 19079.05 21452.07 16878.13 22661.16 16382.77 11173.90 243
EPMVS69.02 20068.16 19971.59 21579.61 21849.80 23677.40 21066.93 25062.82 18870.01 17379.05 21445.79 19577.86 22956.58 19275.26 18287.13 182
MIMVSNet168.58 20166.78 20673.98 20980.07 21451.82 22680.77 18784.37 17164.40 17559.75 22782.16 18836.47 23083.63 20742.73 23370.33 20986.48 193
EU-MVSNet68.53 20267.61 20471.31 22078.51 22647.01 24184.47 15484.27 17342.27 24966.44 20884.79 16940.44 21883.76 20558.76 17968.54 21783.17 217
PatchT68.46 20367.85 20270.29 22280.70 21043.93 24572.47 22974.88 23060.15 20470.55 16876.57 22749.94 17781.59 21450.58 21174.83 18585.34 202
test0.0.03 168.00 20467.69 20368.90 22677.55 22747.43 23975.70 21972.95 24166.66 15366.56 20682.29 18648.06 18675.87 23544.97 23174.51 18783.41 216
TDRefinement67.49 20564.34 21176.92 18973.47 23961.07 16384.86 14882.98 18459.77 20758.30 23085.13 16426.06 23987.89 18747.92 22160.59 24081.81 226
test20.0367.45 20666.95 20568.94 22575.48 23544.84 24377.50 20977.67 21766.66 15363.01 22283.80 17347.02 18978.40 22542.53 23468.86 21583.58 215
UnsupCasMVSNet_eth67.33 20765.99 20871.37 21773.48 23851.47 23075.16 22185.19 16665.20 16960.78 22680.93 20742.35 20977.20 23157.12 19053.69 24785.44 201
TinyColmap67.30 20864.81 21074.76 20381.92 19956.68 20380.29 19281.49 19860.33 20156.27 23783.22 17824.77 24187.66 19045.52 22869.47 21079.95 231
dp66.80 20965.43 20970.90 22179.74 21748.82 23875.12 22374.77 23259.61 20864.08 21977.23 22542.89 20780.72 21748.86 21766.58 22383.16 218
MDA-MVSNet-bldmvs66.68 21063.66 21375.75 19679.28 22360.56 16973.92 22778.35 21564.43 17450.13 24779.87 21244.02 20583.67 20646.10 22756.86 24283.03 220
testgi66.67 21166.53 20767.08 23175.62 23341.69 25075.93 21476.50 22366.11 15965.20 21586.59 14635.72 23374.71 23843.71 23273.38 19684.84 208
PM-MVS66.41 21264.14 21273.20 21173.92 23656.45 20678.97 20264.96 25463.88 18264.72 21680.24 20919.84 24883.44 20866.24 12464.52 23179.71 232
JIA-IIPM66.32 21362.82 21876.82 19077.09 22861.72 16265.34 25075.38 22658.04 21764.51 21762.32 24742.05 21386.51 19651.45 20969.22 21282.21 224
ADS-MVSNet266.20 21463.33 21474.82 20279.92 21558.75 18167.55 24675.19 22853.37 23665.25 21375.86 22942.32 21080.53 21841.57 23568.91 21385.18 203
YYNet165.03 21562.91 21671.38 21675.85 23156.60 20469.12 24074.66 23657.28 22354.12 23977.87 22345.85 19474.48 23949.95 21361.52 23883.05 219
MDA-MVSNet_test_wron65.03 21562.92 21571.37 21775.93 23056.73 20069.09 24174.73 23357.28 22354.03 24077.89 22245.88 19374.39 24049.89 21461.55 23782.99 221
ADS-MVSNet64.36 21762.88 21768.78 22879.92 21547.17 24067.55 24671.18 24453.37 23665.25 21375.86 22942.32 21073.99 24241.57 23568.91 21385.18 203
LF4IMVS64.02 21862.19 21969.50 22470.90 24453.29 22376.13 21277.18 22152.65 23958.59 22880.98 20623.55 24276.52 23353.06 20466.66 22278.68 234
UnsupCasMVSNet_bld63.70 21961.53 22070.21 22373.69 23751.39 23172.82 22881.89 19555.63 22857.81 23171.80 23638.67 22378.61 22449.26 21652.21 24980.63 228
PVSNet_057.27 2061.67 22059.27 22168.85 22779.61 21857.44 19568.01 24473.44 24055.93 22658.54 22970.41 23944.58 20177.55 23047.01 22235.91 25471.55 245
LP61.36 22157.78 22472.09 21475.54 23458.53 18267.16 24875.22 22751.90 24154.13 23869.97 24037.73 22780.45 21932.74 24655.63 24477.29 238
test235659.50 22258.08 22263.74 23571.23 24341.88 24867.59 24572.42 24353.72 23557.65 23270.74 23826.31 23872.40 24532.03 24971.06 20776.93 240
MVS-HIRNet59.14 22357.67 22563.57 23681.65 20143.50 24671.73 23065.06 25339.59 25351.43 24557.73 25038.34 22482.58 21239.53 23873.95 19264.62 250
testus59.00 22457.91 22362.25 23872.25 24139.09 25369.74 23575.02 22953.04 23857.21 23473.72 23418.76 25070.33 24932.86 24568.57 21677.35 237
test123567858.74 22556.89 22864.30 23369.70 24541.87 24971.05 23174.87 23154.06 23250.63 24671.53 23725.30 24074.10 24131.80 25063.10 23476.93 240
pmmvs357.79 22654.26 23068.37 22964.02 25256.72 20175.12 22365.17 25240.20 25152.93 24369.86 24120.36 24675.48 23745.45 22955.25 24672.90 244
DSMNet-mixed57.77 22756.90 22760.38 23967.70 25035.61 25669.18 23953.97 25732.30 26057.49 23379.88 21140.39 21968.57 25238.78 23972.37 20076.97 239
111157.11 22856.82 22957.97 24269.10 24628.28 26168.90 24274.54 23754.01 23353.71 24174.51 23223.09 24367.90 25332.28 24761.26 23977.73 236
testpf56.51 22957.58 22653.30 24671.99 24241.19 25146.89 26169.32 24858.06 21652.87 24469.45 24227.99 23772.73 24459.59 17362.07 23545.98 256
LCM-MVSNet54.25 23049.68 23767.97 23053.73 25945.28 24266.85 24980.78 20135.96 25539.45 25362.23 2488.70 25978.06 22848.24 21951.20 25080.57 229
testmv53.85 23151.03 23362.31 23761.46 25438.88 25470.95 23474.69 23551.11 24341.26 25066.85 24314.28 25372.13 24629.19 25249.51 25175.93 242
FPMVS53.68 23251.64 23259.81 24065.08 25151.03 23269.48 23869.58 24641.46 25040.67 25172.32 23516.46 25270.00 25024.24 25665.42 22958.40 252
N_pmnet52.79 23353.26 23151.40 24978.99 2257.68 26869.52 2373.89 26551.63 24257.01 23574.98 23140.83 21765.96 25537.78 24064.67 23080.56 230
HyFIR lowres test51.79 23450.01 23657.11 24368.82 24849.21 23760.50 25353.26 25834.52 25643.77 24964.94 24620.34 24771.75 24739.87 23764.06 23250.39 253
no-one51.08 23545.79 24066.95 23257.92 25750.49 23459.63 25676.04 22548.04 24531.85 25456.10 25319.12 24980.08 22136.89 24126.52 25670.29 246
new_pmnet50.91 23650.29 23452.78 24768.58 24934.94 25963.71 25256.63 25639.73 25244.95 24865.47 24521.93 24558.48 25734.98 24356.62 24364.92 249
ANet_high50.57 23746.10 23963.99 23448.67 26239.13 25270.99 23380.85 20061.39 19631.18 25657.70 25117.02 25173.65 24331.22 25115.89 26379.18 233
test1235649.28 23848.51 23851.59 24862.06 25319.11 26660.40 25472.45 24247.60 24740.64 25265.68 24413.84 25468.72 25127.29 25446.67 25366.94 248
.test124545.55 23950.02 23532.14 25569.10 24628.28 26168.90 24274.54 23754.01 23353.71 24174.51 23223.09 24367.90 25332.28 2470.02 2650.25 264
Gipumacopyleft45.18 24041.86 24155.16 24577.03 22951.52 22932.50 26380.52 20332.46 25827.12 25735.02 2579.52 25875.50 23622.31 25760.21 24138.45 258
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft37.38 2244.16 24140.28 24255.82 24440.82 26542.54 24765.12 25163.99 25534.43 25724.48 25857.12 2523.92 26176.17 23417.10 25955.52 24548.75 254
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PMMVS240.82 24238.86 24346.69 25153.84 25816.45 26748.61 26049.92 26037.49 25431.67 25560.97 2498.14 26056.42 25828.42 25330.72 25567.19 247
wuykxyi23d39.76 24333.18 24559.51 24146.98 26344.01 24457.70 25767.74 24924.13 26213.98 26434.33 2581.27 26471.33 24834.23 24418.23 25963.18 251
PNet_i23d38.26 24435.42 24446.79 25058.74 25535.48 25759.65 25551.25 25932.45 25923.44 26047.53 2552.04 26358.96 25625.60 25518.09 26145.92 257
E-PMN31.77 24530.64 24635.15 25352.87 26027.67 26357.09 25847.86 26124.64 26116.40 26233.05 25911.23 25654.90 25914.46 26118.15 26022.87 260
EMVS30.81 24629.65 24734.27 25450.96 26125.95 26556.58 25946.80 26224.01 26315.53 26330.68 26012.47 25554.43 26012.81 26217.05 26222.43 261
MVEpermissive26.22 2330.37 24725.89 24843.81 25244.55 26435.46 25828.87 26439.07 26318.20 26418.58 26140.18 2562.68 26247.37 26117.07 26023.78 25848.60 255
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
wuyk23d16.82 24815.94 24919.46 25758.74 25531.45 26039.22 2623.74 2666.84 2666.04 2652.70 2621.27 26424.29 26310.54 26314.40 2642.63 262
ab-mvs-re7.23 2499.64 2500.00 2600.00 2690.00 2710.00 2650.00 2690.00 2690.00 26886.72 1360.00 2680.00 2660.00 2660.00 2680.00 266
test1236.12 2508.11 2510.14 2580.06 2680.09 26971.05 2310.03 2680.04 2680.25 2671.30 2640.05 2660.03 2650.21 2650.01 2670.29 263
testmvs6.04 2518.02 2520.10 2590.08 2670.03 27069.74 2350.04 2670.05 2670.31 2661.68 2630.02 2670.04 2640.24 2640.02 2650.25 264
Regformer0.00 2520.00 2530.00 2600.00 2690.00 2710.00 2650.00 2690.00 2690.00 2680.00 2650.00 2680.00 2660.00 2660.00 2680.00 266
test_prior472.60 1889.01 59
test_prior288.85 6275.41 6084.91 1893.54 2074.28 1183.31 1895.86 4
test_prior86.33 3392.61 3269.59 4892.97 2295.48 3293.91 22
旧先验286.56 12358.10 21587.04 888.98 18074.07 75
新几何286.29 130
新几何183.42 8093.13 2470.71 3785.48 16357.43 22181.80 4591.98 4063.28 7392.27 12364.60 14092.99 3287.27 177
旧先验191.96 3865.79 10386.37 15593.08 2969.31 3392.74 3588.74 141
无先验87.48 9888.98 12060.00 20594.12 7167.28 11888.97 136
原ACMM286.86 116
原ACMM184.35 6393.01 2768.79 5992.44 3163.96 18181.09 5191.57 4966.06 5495.45 3467.19 12094.82 1888.81 138
test22291.50 4368.26 7284.16 16183.20 18254.63 23179.74 5791.63 4758.97 13291.42 4586.77 188
testdata291.01 15262.37 152
segment_acmp73.08 16
testdata79.97 15490.90 5064.21 13584.71 16959.27 21085.40 1492.91 3062.02 10689.08 17768.95 10891.37 4686.63 192
testdata184.14 16275.71 56
test1286.80 2692.63 3170.70 3891.79 5182.71 4171.67 2396.16 2194.50 2193.54 36
plane_prior790.08 6068.51 69
plane_prior689.84 6468.70 6660.42 126
plane_prior592.44 3195.38 3678.71 4386.32 8891.33 74
plane_prior491.00 58
plane_prior368.60 6878.44 2478.92 66
plane_prior291.25 2479.12 17
plane_prior189.90 63
plane_prior68.71 6490.38 3677.62 2886.16 90
n20.00 269
nn0.00 269
door-mid69.98 245
lessismore_v078.97 16881.01 20857.15 19665.99 25161.16 22582.82 18239.12 22291.34 14159.67 17146.92 25288.43 157
LGP-MVS_train84.50 5889.23 7868.76 6191.94 4775.37 6276.64 10791.51 5054.29 15494.91 4978.44 4583.78 10489.83 120
test1192.23 37
door69.44 247
HQP5-MVS66.98 89
HQP-NCC89.33 7089.17 5376.41 4777.23 97
ACMP_Plane89.33 7089.17 5376.41 4777.23 97
BP-MVS77.47 51
HQP4-MVS77.24 9695.11 4291.03 79
HQP3-MVS92.19 4085.99 92
HQP2-MVS60.17 129
NP-MVS89.62 6568.32 7190.24 67
MDTV_nov1_ep13_2view37.79 25575.16 22155.10 22966.53 20749.34 18053.98 19987.94 165
MDTV_nov1_ep1369.97 18783.18 18253.48 22277.10 21180.18 20960.45 20069.33 18480.44 20848.89 18486.90 19251.60 20878.51 145
ACMMP++_ref81.95 119
ACMMP++81.25 124
Test By Simon64.33 65
ITE_SJBPF78.22 17781.77 20060.57 16883.30 18169.25 13667.54 19987.20 13136.33 23187.28 19154.34 19874.62 18686.80 187
DeepMVS_CXcopyleft27.40 25640.17 26626.90 26424.59 26417.44 26523.95 25948.61 2549.77 25726.48 26218.06 25824.47 25728.83 259