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
MCST-MVS91.08 191.46 289.94 497.66 273.37 897.13 295.58 889.33 185.77 4096.26 2272.84 2699.38 192.64 695.93 997.08 9
DPM-MVS90.70 290.52 791.24 189.68 14376.68 297.29 195.35 1082.87 1591.58 1097.22 379.93 599.10 983.12 7797.64 297.94 1
DVP-MVS++90.53 391.09 488.87 1397.31 469.91 3593.96 6294.37 4472.48 15592.07 696.85 1183.82 299.15 291.53 1697.42 497.55 4
MSP-MVS90.38 491.87 185.88 7892.83 7164.03 17893.06 9694.33 4682.19 2193.65 396.15 2585.89 197.19 7491.02 2097.75 196.43 25
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
CNVR-MVS90.32 590.89 688.61 1896.76 870.65 2496.47 1294.83 2384.83 989.07 2296.80 1470.86 3499.06 1592.64 695.71 1096.12 34
DELS-MVS90.05 690.09 989.94 493.14 6673.88 797.01 394.40 4288.32 285.71 4194.91 5574.11 1998.91 1787.26 4595.94 897.03 10
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
SED-MVS89.94 790.36 888.70 1596.45 1269.38 4596.89 494.44 3871.65 18492.11 497.21 476.79 999.11 692.34 895.36 1397.62 2
DeepPCF-MVS81.17 189.72 891.38 384.72 11593.00 6958.16 27996.72 794.41 4086.50 690.25 1897.83 175.46 1498.67 2392.78 595.49 1297.32 6
patch_mono-289.71 990.99 585.85 8196.04 2463.70 18795.04 3895.19 1386.74 591.53 1195.15 4973.86 2097.58 5393.38 392.00 6596.28 31
CANet89.61 1089.99 1088.46 1994.39 3969.71 4196.53 1193.78 5786.89 489.68 1995.78 2965.94 5699.10 992.99 493.91 3896.58 17
DVP-MVScopyleft89.41 1189.73 1288.45 2096.40 1569.99 3196.64 894.52 3471.92 17190.55 1696.93 973.77 2199.08 1191.91 1494.90 2096.29 29
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
HPM-MVS++copyleft89.37 1289.95 1187.64 2895.10 3068.23 7595.24 3194.49 3682.43 1988.90 2396.35 2071.89 3398.63 2488.76 3396.40 696.06 35
NCCC89.07 1389.46 1387.91 2396.60 1069.05 5496.38 1394.64 3184.42 1086.74 3296.20 2366.56 5298.76 2289.03 3294.56 3095.92 40
DPE-MVScopyleft88.77 1489.21 1487.45 3596.26 2067.56 9094.17 5194.15 5168.77 23490.74 1497.27 276.09 1298.49 2790.58 2394.91 1996.30 28
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
SMA-MVScopyleft88.14 1588.29 1887.67 2793.21 6368.72 6293.85 6994.03 5374.18 12091.74 996.67 1565.61 6098.42 3189.24 2996.08 795.88 41
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
PS-MVSNAJ88.14 1587.61 2389.71 692.06 9076.72 195.75 1893.26 8183.86 1189.55 2096.06 2653.55 19197.89 4091.10 1893.31 4994.54 90
TSAR-MVS + MP.88.11 1788.64 1586.54 6191.73 10268.04 7990.36 20293.55 7082.89 1491.29 1292.89 10572.27 3096.03 12187.99 3694.77 2495.54 50
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
TSAR-MVS + GP.87.96 1888.37 1786.70 5593.51 5665.32 14595.15 3493.84 5678.17 7085.93 3994.80 5875.80 1398.21 3289.38 2688.78 9896.59 15
DeepC-MVS_fast79.48 287.95 1988.00 1987.79 2695.86 2768.32 7095.74 1994.11 5283.82 1283.49 6196.19 2464.53 7298.44 2983.42 7694.88 2396.61 14
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
xiu_mvs_v2_base87.92 2087.38 2789.55 1191.41 11376.43 395.74 1993.12 8983.53 1389.55 2095.95 2753.45 19597.68 4591.07 1992.62 5694.54 90
EPNet87.84 2188.38 1686.23 7193.30 6066.05 12795.26 3094.84 2287.09 388.06 2594.53 6466.79 4997.34 6583.89 7391.68 7095.29 61
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
lupinMVS87.74 2287.77 2187.63 3289.24 15571.18 1996.57 1092.90 9682.70 1887.13 2995.27 4364.99 6495.80 12689.34 2791.80 6895.93 39
APDe-MVS87.54 2387.84 2086.65 5696.07 2366.30 12394.84 4393.78 5769.35 22588.39 2496.34 2167.74 4497.66 4890.62 2293.44 4796.01 38
SD-MVS87.49 2487.49 2587.50 3493.60 5368.82 6093.90 6692.63 10776.86 8887.90 2695.76 3066.17 5397.63 5089.06 3191.48 7496.05 36
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
dcpmvs_287.37 2587.55 2486.85 4895.04 3268.20 7690.36 20290.66 18479.37 5081.20 7693.67 8974.73 1596.55 10590.88 2192.00 6595.82 42
alignmvs87.28 2686.97 3088.24 2291.30 11471.14 2195.61 2393.56 6979.30 5187.07 3195.25 4568.43 3796.93 9487.87 3784.33 13396.65 13
train_agg87.21 2787.42 2686.60 5794.18 4167.28 9794.16 5293.51 7171.87 17685.52 4395.33 3868.19 3997.27 7289.09 3094.90 2095.25 67
MG-MVS87.11 2886.27 3589.62 797.79 176.27 494.96 4194.49 3678.74 6583.87 6092.94 10364.34 7396.94 9275.19 13294.09 3495.66 45
SF-MVS87.03 2987.09 2886.84 4992.70 7767.45 9593.64 7893.76 6070.78 20886.25 3496.44 1966.98 4797.79 4388.68 3494.56 3095.28 63
CSCG86.87 3086.26 3688.72 1495.05 3170.79 2393.83 7395.33 1168.48 23877.63 11694.35 7373.04 2498.45 2884.92 6493.71 4396.92 11
canonicalmvs86.85 3186.25 3788.66 1791.80 10171.92 1493.54 8391.71 14480.26 3987.55 2795.25 4563.59 8596.93 9488.18 3584.34 13297.11 8
PHI-MVS86.83 3286.85 3386.78 5393.47 5765.55 14195.39 2895.10 1671.77 18185.69 4296.52 1662.07 9998.77 2186.06 5695.60 1196.03 37
SteuartSystems-ACMMP86.82 3386.90 3186.58 5990.42 12966.38 12096.09 1593.87 5577.73 7784.01 5995.66 3163.39 8797.94 3787.40 4393.55 4695.42 51
Skip Steuart: Steuart Systems R&D Blog.
PVSNet_Blended86.73 3486.86 3286.31 7093.76 4967.53 9296.33 1493.61 6782.34 2081.00 8193.08 9963.19 9097.29 6887.08 4791.38 7694.13 103
jason86.40 3586.17 3887.11 4286.16 21970.54 2695.71 2292.19 12282.00 2384.58 5294.34 7461.86 10195.53 14687.76 3890.89 8295.27 64
jason: jason.
WTY-MVS86.32 3685.81 4287.85 2492.82 7369.37 4795.20 3295.25 1282.71 1781.91 7194.73 5967.93 4397.63 5079.55 10282.25 14596.54 18
MSLP-MVS++86.27 3785.91 4187.35 3792.01 9368.97 5795.04 3892.70 10179.04 5981.50 7496.50 1858.98 13296.78 9783.49 7593.93 3796.29 29
VNet86.20 3885.65 4587.84 2593.92 4669.99 3195.73 2195.94 678.43 6786.00 3893.07 10058.22 13697.00 8485.22 6084.33 13396.52 19
MVS_111021_HR86.19 3985.80 4387.37 3693.17 6569.79 3893.99 6193.76 6079.08 5878.88 10593.99 8462.25 9898.15 3485.93 5791.15 8094.15 102
CS-MVS-test86.14 4087.01 2983.52 14792.63 8059.36 26795.49 2591.92 13180.09 4085.46 4595.53 3561.82 10395.77 12986.77 5193.37 4895.41 52
ACMMP_NAP86.05 4185.80 4386.80 5291.58 10667.53 9291.79 14993.49 7474.93 11184.61 5195.30 4059.42 12697.92 3886.13 5494.92 1894.94 76
ETV-MVS86.01 4286.11 3985.70 8790.21 13467.02 10693.43 8891.92 13181.21 3284.13 5894.07 8360.93 11095.63 13789.28 2889.81 9094.46 96
APD-MVScopyleft85.93 4385.99 4085.76 8595.98 2665.21 14893.59 8192.58 10966.54 25186.17 3695.88 2863.83 7997.00 8486.39 5392.94 5395.06 71
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PAPM85.89 4485.46 4687.18 4088.20 18372.42 1392.41 12392.77 9982.11 2280.34 8693.07 10068.27 3895.02 15878.39 11593.59 4594.09 105
CS-MVS85.80 4586.65 3483.27 15592.00 9458.92 27295.31 2991.86 13679.97 4184.82 5095.40 3662.26 9795.51 14786.11 5592.08 6495.37 55
CDPH-MVS85.71 4685.46 4686.46 6394.75 3467.19 9993.89 6792.83 9870.90 20483.09 6495.28 4163.62 8397.36 6380.63 9694.18 3394.84 80
casdiffmvs_mvgpermissive85.66 4785.18 4987.09 4388.22 18269.35 4893.74 7691.89 13481.47 2780.10 8891.45 13264.80 6896.35 10887.23 4687.69 10695.58 48
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
DeepC-MVS77.85 385.52 4885.24 4886.37 6788.80 16566.64 11492.15 12993.68 6581.07 3376.91 12693.64 9062.59 9598.44 2985.50 5892.84 5594.03 109
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
casdiffmvspermissive85.37 4984.87 5586.84 4988.25 18069.07 5393.04 9891.76 14181.27 3180.84 8392.07 12364.23 7496.06 11984.98 6387.43 10995.39 53
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
ZNCC-MVS85.33 5085.08 5186.06 7393.09 6865.65 13793.89 6793.41 7873.75 13179.94 9094.68 6160.61 11398.03 3682.63 8093.72 4294.52 92
MP-MVS-pluss85.24 5185.13 5085.56 9091.42 11165.59 13991.54 15992.51 11174.56 11480.62 8495.64 3259.15 13097.00 8486.94 4993.80 3994.07 107
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
PAPR85.15 5284.47 5687.18 4096.02 2568.29 7191.85 14793.00 9376.59 9379.03 10195.00 5061.59 10497.61 5278.16 11689.00 9795.63 46
MP-MVScopyleft85.02 5384.97 5385.17 10292.60 8164.27 17493.24 9192.27 11673.13 14279.63 9494.43 6761.90 10097.17 7585.00 6292.56 5794.06 108
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
baseline85.01 5484.44 5786.71 5488.33 17768.73 6190.24 20791.82 14081.05 3481.18 7792.50 11263.69 8296.08 11884.45 6886.71 11795.32 59
CHOSEN 1792x268884.98 5583.45 6789.57 1089.94 13875.14 592.07 13592.32 11481.87 2475.68 13588.27 17960.18 11698.60 2580.46 9890.27 8994.96 75
EIA-MVS84.84 5684.88 5484.69 11691.30 11462.36 21493.85 6992.04 12679.45 4879.33 9894.28 7762.42 9696.35 10880.05 9991.25 7995.38 54
HFP-MVS84.73 5784.40 5885.72 8693.75 5165.01 15493.50 8593.19 8572.19 16579.22 9994.93 5359.04 13197.67 4681.55 8792.21 6094.49 95
MVS84.66 5882.86 8290.06 290.93 12074.56 687.91 25195.54 968.55 23672.35 17694.71 6059.78 12298.90 1881.29 9394.69 2996.74 12
GST-MVS84.63 5984.29 5985.66 8892.82 7365.27 14693.04 9893.13 8873.20 14078.89 10294.18 8059.41 12797.85 4281.45 8992.48 5993.86 117
DROMVSNet84.53 6085.04 5283.01 15989.34 15061.37 23294.42 4891.09 17177.91 7483.24 6294.20 7958.37 13595.40 14885.35 5991.41 7592.27 159
ACMMPR84.37 6184.06 6085.28 9893.56 5464.37 17093.50 8593.15 8772.19 16578.85 10794.86 5656.69 15697.45 5781.55 8792.20 6194.02 110
region2R84.36 6284.03 6185.36 9693.54 5564.31 17293.43 8892.95 9472.16 16878.86 10694.84 5756.97 15197.53 5581.38 9192.11 6394.24 98
LFMVS84.34 6382.73 8489.18 1294.76 3373.25 994.99 4091.89 13471.90 17382.16 7093.49 9447.98 24197.05 7982.55 8184.82 12897.25 7
test_yl84.28 6483.16 7587.64 2894.52 3769.24 4995.78 1695.09 1769.19 22881.09 7892.88 10657.00 14997.44 5881.11 9481.76 14996.23 32
DCV-MVSNet84.28 6483.16 7587.64 2894.52 3769.24 4995.78 1695.09 1769.19 22881.09 7892.88 10657.00 14997.44 5881.11 9481.76 14996.23 32
diffmvspermissive84.28 6483.83 6285.61 8987.40 19968.02 8090.88 18789.24 23380.54 3781.64 7392.52 11159.83 12194.52 18287.32 4485.11 12694.29 97
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
HY-MVS76.49 584.28 6483.36 7387.02 4692.22 8767.74 8684.65 27794.50 3579.15 5582.23 6987.93 18666.88 4896.94 9280.53 9782.20 14696.39 27
MAR-MVS84.18 6883.43 6886.44 6496.25 2165.93 13294.28 5094.27 4874.41 11579.16 10095.61 3353.99 18698.88 2069.62 18193.26 5094.50 94
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
MVS_Test84.16 6983.20 7487.05 4591.56 10769.82 3789.99 21692.05 12577.77 7682.84 6586.57 20063.93 7896.09 11674.91 13789.18 9695.25 67
CANet_DTU84.09 7083.52 6485.81 8290.30 13266.82 10991.87 14589.01 24685.27 786.09 3793.74 8847.71 24496.98 8877.90 11889.78 9293.65 122
ET-MVSNet_ETH3D84.01 7183.15 7786.58 5990.78 12570.89 2294.74 4594.62 3281.44 3058.19 30193.64 9073.64 2392.35 25782.66 7978.66 17396.50 23
PVSNet_Blended_VisFu83.97 7283.50 6585.39 9590.02 13666.59 11793.77 7491.73 14277.43 8577.08 12589.81 16263.77 8196.97 8979.67 10188.21 10292.60 147
MTAPA83.91 7383.38 7285.50 9191.89 9965.16 15081.75 29992.23 11775.32 10680.53 8595.21 4756.06 16497.16 7684.86 6592.55 5894.18 99
XVS83.87 7483.47 6685.05 10393.22 6163.78 18292.92 10392.66 10473.99 12378.18 11194.31 7655.25 16997.41 6079.16 10691.58 7293.95 112
Effi-MVS+83.82 7582.76 8386.99 4789.56 14669.40 4491.35 17086.12 29272.59 15283.22 6392.81 10959.60 12496.01 12381.76 8687.80 10595.56 49
EI-MVSNet-Vis-set83.77 7683.67 6384.06 13492.79 7663.56 19291.76 15294.81 2479.65 4777.87 11494.09 8163.35 8897.90 3979.35 10479.36 16590.74 183
MVSFormer83.75 7782.88 8186.37 6789.24 15571.18 1989.07 23590.69 18165.80 25687.13 2994.34 7464.99 6492.67 24372.83 14891.80 6895.27 64
CP-MVS83.71 7883.40 7184.65 11793.14 6663.84 18094.59 4692.28 11571.03 20277.41 11994.92 5455.21 17296.19 11281.32 9290.70 8493.91 114
baseline283.68 7983.42 7084.48 12387.37 20066.00 12990.06 21195.93 779.71 4669.08 21090.39 15077.92 696.28 11078.91 11081.38 15391.16 179
thisisatest051583.41 8082.49 8986.16 7289.46 14968.26 7393.54 8394.70 2874.31 11875.75 13390.92 14072.62 2896.52 10669.64 17981.50 15293.71 120
PVSNet_BlendedMVS83.38 8183.43 6883.22 15693.76 4967.53 9294.06 5793.61 6779.13 5681.00 8185.14 21563.19 9097.29 6887.08 4773.91 20884.83 278
test250683.29 8282.92 8084.37 12688.39 17563.18 19892.01 13891.35 15977.66 7978.49 11091.42 13364.58 7195.09 15773.19 14489.23 9494.85 77
iter_conf0583.27 8382.70 8584.98 10693.32 5971.84 1594.16 5281.76 32282.74 1673.83 15788.40 17572.77 2794.61 17382.10 8375.21 20088.48 212
PGM-MVS83.25 8482.70 8584.92 10792.81 7564.07 17790.44 19892.20 12171.28 19677.23 12294.43 6755.17 17397.31 6779.33 10591.38 7693.37 128
HPM-MVScopyleft83.25 8482.95 7984.17 13292.25 8662.88 20790.91 18491.86 13670.30 21477.12 12393.96 8556.75 15496.28 11082.04 8491.34 7893.34 129
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
EI-MVSNet-UG-set83.14 8682.96 7883.67 14592.28 8563.19 19791.38 16894.68 2979.22 5376.60 12893.75 8762.64 9497.76 4478.07 11778.01 17690.05 192
VDD-MVS83.06 8781.81 9886.81 5190.86 12367.70 8795.40 2791.50 15475.46 10381.78 7292.34 11940.09 27897.13 7786.85 5082.04 14795.60 47
h-mvs3383.01 8882.56 8884.35 12789.34 15062.02 21992.72 10893.76 6081.45 2882.73 6692.25 12160.11 11797.13 7787.69 3962.96 28493.91 114
PAPM_NR82.97 8981.84 9786.37 6794.10 4466.76 11287.66 25692.84 9769.96 21874.07 15493.57 9263.10 9297.50 5670.66 17290.58 8694.85 77
mPP-MVS82.96 9082.44 9084.52 12192.83 7162.92 20592.76 10691.85 13871.52 19275.61 13894.24 7853.48 19496.99 8778.97 10990.73 8393.64 123
SR-MVS82.81 9182.58 8783.50 15093.35 5861.16 23592.23 12891.28 16364.48 26581.27 7595.28 4153.71 19095.86 12582.87 7888.77 9993.49 126
DP-MVS Recon82.73 9281.65 9985.98 7597.31 467.06 10395.15 3491.99 12869.08 23176.50 13093.89 8654.48 18198.20 3370.76 17085.66 12492.69 144
CLD-MVS82.73 9282.35 9283.86 13887.90 19067.65 8995.45 2692.18 12385.06 872.58 16992.27 12052.46 20295.78 12784.18 6979.06 16888.16 218
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
sss82.71 9482.38 9183.73 14289.25 15459.58 26292.24 12794.89 2177.96 7279.86 9192.38 11756.70 15597.05 7977.26 12180.86 15794.55 88
3Dnovator73.91 682.69 9580.82 11088.31 2189.57 14571.26 1892.60 11694.39 4378.84 6267.89 23092.48 11548.42 23698.52 2668.80 19194.40 3295.15 69
MVSTER82.47 9682.05 9383.74 14092.68 7869.01 5591.90 14493.21 8279.83 4272.14 17785.71 21274.72 1694.72 16875.72 12872.49 21987.50 223
TESTMET0.1,182.41 9781.98 9683.72 14388.08 18463.74 18492.70 11093.77 5979.30 5177.61 11787.57 19158.19 13794.08 19773.91 14386.68 11893.33 131
CostFormer82.33 9881.15 10385.86 8089.01 16068.46 6782.39 29793.01 9175.59 10180.25 8781.57 25872.03 3294.96 16079.06 10877.48 18494.16 101
API-MVS82.28 9980.53 11687.54 3396.13 2270.59 2593.63 7991.04 17665.72 25875.45 14092.83 10856.11 16398.89 1964.10 23389.75 9393.15 135
IB-MVS77.80 482.18 10080.46 11887.35 3789.14 15770.28 2995.59 2495.17 1578.85 6170.19 19885.82 21070.66 3597.67 4672.19 15966.52 25994.09 105
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
xiu_mvs_v1_base_debu82.16 10181.12 10485.26 9986.42 21368.72 6292.59 11890.44 19073.12 14384.20 5594.36 6938.04 29195.73 13184.12 7086.81 11291.33 173
xiu_mvs_v1_base82.16 10181.12 10485.26 9986.42 21368.72 6292.59 11890.44 19073.12 14384.20 5594.36 6938.04 29195.73 13184.12 7086.81 11291.33 173
xiu_mvs_v1_base_debi82.16 10181.12 10485.26 9986.42 21368.72 6292.59 11890.44 19073.12 14384.20 5594.36 6938.04 29195.73 13184.12 7086.81 11291.33 173
3Dnovator+73.60 782.10 10480.60 11586.60 5790.89 12266.80 11195.20 3293.44 7674.05 12267.42 23692.49 11449.46 22697.65 4970.80 16991.68 7095.33 57
MVS_111021_LR82.02 10581.52 10083.51 14988.42 17362.88 20789.77 22088.93 24876.78 9175.55 13993.10 9750.31 21895.38 15083.82 7487.02 11192.26 160
PMMVS81.98 10682.04 9481.78 19189.76 14256.17 29891.13 18090.69 18177.96 7280.09 8993.57 9246.33 25394.99 15981.41 9087.46 10894.17 100
baseline181.84 10781.03 10884.28 13091.60 10566.62 11591.08 18191.66 14881.87 2474.86 14491.67 13069.98 3694.92 16371.76 16264.75 27391.29 178
EPP-MVSNet81.79 10881.52 10082.61 16888.77 16660.21 25493.02 10093.66 6668.52 23772.90 16490.39 15072.19 3194.96 16074.93 13679.29 16792.67 145
iter_conf_final81.74 10980.93 10984.18 13192.66 7969.10 5292.94 10282.80 32079.01 6074.85 14588.40 17561.83 10294.61 17379.36 10376.52 19388.83 203
test_vis1_n_192081.66 11082.01 9580.64 21782.24 27155.09 30694.76 4486.87 28281.67 2684.40 5494.63 6238.17 28894.67 17291.98 1383.34 13992.16 163
APD-MVS_3200maxsize81.64 11181.32 10282.59 16992.36 8358.74 27491.39 16691.01 17763.35 27479.72 9394.62 6351.82 20596.14 11479.71 10087.93 10492.89 143
ACMMPcopyleft81.49 11280.67 11383.93 13791.71 10362.90 20692.13 13092.22 12071.79 18071.68 18493.49 9450.32 21796.96 9078.47 11484.22 13791.93 165
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
CDS-MVSNet81.43 11380.74 11183.52 14786.26 21764.45 16492.09 13390.65 18575.83 10073.95 15689.81 16263.97 7792.91 23371.27 16582.82 14293.20 134
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
mvs_anonymous81.36 11479.99 12385.46 9290.39 13168.40 6886.88 26890.61 18674.41 11570.31 19784.67 22163.79 8092.32 25873.13 14585.70 12395.67 44
ECVR-MVScopyleft81.29 11580.38 11984.01 13688.39 17561.96 22192.56 12186.79 28477.66 7976.63 12791.42 13346.34 25295.24 15574.36 14189.23 9494.85 77
thisisatest053081.15 11680.07 12084.39 12588.26 17965.63 13891.40 16494.62 3271.27 19770.93 19089.18 16672.47 2996.04 12065.62 22276.89 19091.49 169
Fast-Effi-MVS+81.14 11780.01 12284.51 12290.24 13365.86 13394.12 5689.15 23973.81 13075.37 14188.26 18057.26 14494.53 18166.97 20784.92 12793.15 135
HQP-MVS81.14 11780.64 11482.64 16787.54 19563.66 19094.06 5791.70 14679.80 4374.18 15090.30 15251.63 20995.61 13977.63 11978.90 16988.63 208
hse-mvs281.12 11981.11 10781.16 20486.52 21257.48 28989.40 22891.16 16681.45 2882.73 6690.49 14860.11 11794.58 17587.69 3960.41 31191.41 172
SR-MVS-dyc-post81.06 12080.70 11282.15 18292.02 9158.56 27690.90 18590.45 18762.76 28178.89 10294.46 6551.26 21295.61 13978.77 11286.77 11592.28 156
HyFIR lowres test81.03 12179.56 13085.43 9387.81 19268.11 7890.18 20890.01 21070.65 21072.95 16386.06 20863.61 8494.50 18375.01 13579.75 16393.67 121
nrg03080.93 12279.86 12584.13 13383.69 25768.83 5993.23 9291.20 16475.55 10275.06 14388.22 18363.04 9394.74 16781.88 8566.88 25688.82 206
Vis-MVSNetpermissive80.92 12379.98 12483.74 14088.48 17061.80 22393.44 8788.26 26973.96 12677.73 11591.76 12749.94 22294.76 16565.84 21990.37 8894.65 87
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
test111180.84 12480.02 12183.33 15387.87 19160.76 24392.62 11586.86 28377.86 7575.73 13491.39 13546.35 25194.70 17172.79 15088.68 10094.52 92
131480.70 12578.95 14185.94 7787.77 19367.56 9087.91 25192.55 11072.17 16767.44 23593.09 9850.27 21997.04 8271.68 16487.64 10793.23 133
tpmrst80.57 12679.14 14084.84 11090.10 13568.28 7281.70 30089.72 22177.63 8175.96 13279.54 29064.94 6692.71 24075.43 13077.28 18793.55 124
1112_ss80.56 12779.83 12682.77 16388.65 16760.78 24192.29 12588.36 26472.58 15372.46 17394.95 5165.09 6393.42 22166.38 21377.71 17894.10 104
VDDNet80.50 12878.26 14887.21 3986.19 21869.79 3894.48 4791.31 16060.42 29979.34 9790.91 14138.48 28696.56 10482.16 8281.05 15595.27 64
BH-w/o80.49 12979.30 13784.05 13590.83 12464.36 17193.60 8089.42 22874.35 11769.09 20990.15 15755.23 17195.61 13964.61 23086.43 12192.17 162
TAMVS80.37 13079.45 13383.13 15885.14 23463.37 19391.23 17590.76 18074.81 11372.65 16788.49 17260.63 11292.95 22869.41 18381.95 14893.08 138
HQP_MVS80.34 13179.75 12782.12 18486.94 20662.42 21293.13 9491.31 16078.81 6372.53 17089.14 16850.66 21595.55 14476.74 12278.53 17488.39 215
HPM-MVS_fast80.25 13279.55 13282.33 17591.55 10859.95 25791.32 17289.16 23865.23 26274.71 14793.07 10047.81 24395.74 13074.87 13988.23 10191.31 177
ab-mvs80.18 13378.31 14785.80 8388.44 17265.49 14483.00 29492.67 10371.82 17977.36 12085.01 21654.50 17896.59 10176.35 12675.63 19895.32 59
IS-MVSNet80.14 13479.41 13482.33 17587.91 18960.08 25691.97 14288.27 26772.90 14871.44 18791.73 12961.44 10593.66 21662.47 24686.53 11993.24 132
test-LLR80.10 13579.56 13081.72 19386.93 20861.17 23392.70 11091.54 15171.51 19375.62 13686.94 19753.83 18792.38 25472.21 15784.76 13091.60 167
PVSNet73.49 880.05 13678.63 14384.31 12890.92 12164.97 15592.47 12291.05 17579.18 5472.43 17490.51 14737.05 30394.06 19968.06 19586.00 12293.90 116
UA-Net80.02 13779.65 12881.11 20689.33 15257.72 28486.33 27189.00 24777.44 8481.01 8089.15 16759.33 12895.90 12461.01 25384.28 13589.73 197
test-mter79.96 13879.38 13681.72 19386.93 20861.17 23392.70 11091.54 15173.85 12875.62 13686.94 19749.84 22492.38 25472.21 15784.76 13091.60 167
QAPM79.95 13977.39 16587.64 2889.63 14471.41 1793.30 9093.70 6465.34 26167.39 23891.75 12847.83 24298.96 1657.71 26989.81 9092.54 149
UGNet79.87 14078.68 14283.45 15289.96 13761.51 22992.13 13090.79 17976.83 9078.85 10786.33 20438.16 28996.17 11367.93 19887.17 11092.67 145
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
tpm279.80 14177.95 15485.34 9788.28 17868.26 7381.56 30291.42 15770.11 21677.59 11880.50 27667.40 4594.26 19167.34 20377.35 18593.51 125
thres20079.66 14278.33 14683.66 14692.54 8265.82 13593.06 9696.31 374.90 11273.30 16088.66 17059.67 12395.61 13947.84 30778.67 17289.56 200
CPTT-MVS79.59 14379.16 13980.89 21591.54 10959.80 25992.10 13288.54 26260.42 29972.96 16293.28 9648.27 23792.80 23778.89 11186.50 12090.06 191
Test_1112_low_res79.56 14478.60 14482.43 17188.24 18160.39 25192.09 13387.99 27372.10 16971.84 18087.42 19364.62 7093.04 22565.80 22077.30 18693.85 118
tttt051779.50 14578.53 14582.41 17487.22 20261.43 23189.75 22194.76 2569.29 22667.91 22888.06 18572.92 2595.63 13762.91 24273.90 20990.16 190
FIs79.47 14679.41 13479.67 24085.95 22259.40 26491.68 15693.94 5478.06 7168.96 21388.28 17866.61 5191.77 26966.20 21674.99 20187.82 220
BH-RMVSNet79.46 14777.65 15784.89 10891.68 10465.66 13693.55 8288.09 27172.93 14773.37 15991.12 13946.20 25596.12 11556.28 27485.61 12592.91 142
PCF-MVS73.15 979.29 14877.63 15884.29 12986.06 22065.96 13187.03 26391.10 17069.86 22069.79 20590.64 14357.54 14396.59 10164.37 23282.29 14490.32 188
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Vis-MVSNet (Re-imp)79.24 14979.57 12978.24 26188.46 17152.29 31890.41 20089.12 24174.24 11969.13 20891.91 12565.77 5890.09 29359.00 26588.09 10392.33 153
114514_t79.17 15077.67 15683.68 14495.32 2965.53 14292.85 10591.60 15063.49 27267.92 22790.63 14546.65 24895.72 13567.01 20683.54 13889.79 195
FA-MVS(test-final)79.12 15177.23 16784.81 11290.54 12763.98 17981.35 30591.71 14471.09 20174.85 14582.94 23952.85 19897.05 7967.97 19681.73 15193.41 127
VPA-MVSNet79.03 15278.00 15282.11 18785.95 22264.48 16393.22 9394.66 3075.05 11074.04 15584.95 21752.17 20493.52 21874.90 13867.04 25588.32 217
OPM-MVS79.00 15378.09 15081.73 19283.52 26063.83 18191.64 15890.30 19776.36 9671.97 17989.93 16146.30 25495.17 15675.10 13377.70 17986.19 251
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EI-MVSNet78.97 15478.22 14981.25 20185.33 23062.73 21089.53 22593.21 8272.39 16072.14 17790.13 15860.99 10894.72 16867.73 20072.49 21986.29 247
AdaColmapbinary78.94 15577.00 17184.76 11396.34 1765.86 13392.66 11487.97 27462.18 28670.56 19192.37 11843.53 26797.35 6464.50 23182.86 14191.05 181
GeoE78.90 15677.43 16183.29 15488.95 16162.02 21992.31 12486.23 29070.24 21571.34 18889.27 16554.43 18294.04 20263.31 23880.81 15993.81 119
miper_enhance_ethall78.86 15777.97 15381.54 19688.00 18865.17 14991.41 16289.15 23975.19 10868.79 21683.98 23067.17 4692.82 23572.73 15165.30 26486.62 244
VPNet78.82 15877.53 16082.70 16584.52 24466.44 11993.93 6492.23 11780.46 3872.60 16888.38 17749.18 23093.13 22472.47 15563.97 28188.55 211
EPNet_dtu78.80 15979.26 13877.43 26988.06 18549.71 33191.96 14391.95 13077.67 7876.56 12991.28 13758.51 13490.20 29156.37 27380.95 15692.39 151
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
tfpn200view978.79 16077.43 16182.88 16192.21 8864.49 16192.05 13696.28 473.48 13771.75 18288.26 18060.07 11995.32 15145.16 31877.58 18188.83 203
TR-MVS78.77 16177.37 16682.95 16090.49 12860.88 23993.67 7790.07 20670.08 21774.51 14891.37 13645.69 25895.70 13660.12 25980.32 16092.29 155
thres40078.68 16277.43 16182.43 17192.21 8864.49 16192.05 13696.28 473.48 13771.75 18288.26 18060.07 11995.32 15145.16 31877.58 18187.48 224
BH-untuned78.68 16277.08 16883.48 15189.84 13963.74 18492.70 11088.59 26071.57 19066.83 24588.65 17151.75 20795.39 14959.03 26484.77 12991.32 176
OMC-MVS78.67 16477.91 15580.95 21385.76 22657.40 29188.49 24488.67 25773.85 12872.43 17492.10 12249.29 22994.55 18072.73 15177.89 17790.91 182
tpm78.58 16577.03 16983.22 15685.94 22464.56 15983.21 29191.14 16978.31 6873.67 15879.68 28864.01 7692.09 26366.07 21771.26 22993.03 139
OpenMVScopyleft70.45 1178.54 16675.92 18486.41 6685.93 22571.68 1692.74 10792.51 11166.49 25264.56 26191.96 12443.88 26698.10 3554.61 27990.65 8589.44 201
EPMVS78.49 16775.98 18386.02 7491.21 11669.68 4280.23 31491.20 16475.25 10772.48 17278.11 29854.65 17793.69 21557.66 27083.04 14094.69 83
AUN-MVS78.37 16877.43 16181.17 20386.60 21157.45 29089.46 22791.16 16674.11 12174.40 14990.49 14855.52 16894.57 17774.73 14060.43 31091.48 170
thres100view90078.37 16877.01 17082.46 17091.89 9963.21 19691.19 17996.33 172.28 16370.45 19487.89 18760.31 11495.32 15145.16 31877.58 18188.83 203
GA-MVS78.33 17076.23 18084.65 11783.65 25866.30 12391.44 16090.14 20476.01 9870.32 19684.02 22942.50 27194.72 16870.98 16777.00 18992.94 141
cascas78.18 17175.77 18685.41 9487.14 20469.11 5192.96 10191.15 16866.71 25070.47 19286.07 20737.49 29796.48 10770.15 17579.80 16290.65 184
UniMVSNet_NR-MVSNet78.15 17277.55 15979.98 23284.46 24660.26 25292.25 12693.20 8477.50 8368.88 21486.61 19966.10 5492.13 26166.38 21362.55 28887.54 222
thres600view778.00 17376.66 17582.03 18991.93 9663.69 18891.30 17396.33 172.43 15870.46 19387.89 18760.31 11494.92 16342.64 33076.64 19187.48 224
FC-MVSNet-test77.99 17478.08 15177.70 26484.89 23955.51 30390.27 20593.75 6376.87 8766.80 24687.59 19065.71 5990.23 29062.89 24373.94 20787.37 227
Anonymous20240521177.96 17575.33 19185.87 7993.73 5264.52 16094.85 4285.36 29862.52 28476.11 13190.18 15529.43 33097.29 6868.51 19377.24 18895.81 43
cl2277.94 17676.78 17381.42 19887.57 19464.93 15790.67 19388.86 25172.45 15767.63 23482.68 24364.07 7592.91 23371.79 16065.30 26486.44 245
XXY-MVS77.94 17676.44 17782.43 17182.60 26864.44 16592.01 13891.83 13973.59 13670.00 20185.82 21054.43 18294.76 16569.63 18068.02 24988.10 219
MS-PatchMatch77.90 17876.50 17682.12 18485.99 22169.95 3491.75 15492.70 10173.97 12562.58 28084.44 22541.11 27595.78 12763.76 23692.17 6280.62 323
FMVSNet377.73 17976.04 18282.80 16291.20 11768.99 5691.87 14591.99 12873.35 13967.04 24183.19 23856.62 15792.14 26059.80 26169.34 23887.28 231
miper_ehance_all_eth77.60 18076.44 17781.09 21085.70 22764.41 16890.65 19488.64 25972.31 16167.37 23982.52 24464.77 6992.64 24770.67 17165.30 26486.24 249
UniMVSNet (Re)77.58 18176.78 17379.98 23284.11 25260.80 24091.76 15293.17 8676.56 9469.93 20484.78 22063.32 8992.36 25664.89 22962.51 29086.78 239
PatchmatchNetpermissive77.46 18274.63 19785.96 7689.55 14770.35 2879.97 31889.55 22472.23 16470.94 18976.91 30957.03 14792.79 23854.27 28181.17 15494.74 82
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v2v48277.42 18375.65 18982.73 16480.38 28767.13 10291.85 14790.23 20175.09 10969.37 20683.39 23653.79 18994.44 18471.77 16165.00 27086.63 243
CHOSEN 280x42077.35 18476.95 17278.55 25687.07 20562.68 21169.71 34382.95 31868.80 23371.48 18687.27 19666.03 5584.00 33376.47 12582.81 14388.95 202
PS-MVSNAJss77.26 18576.31 17980.13 22880.64 28559.16 26990.63 19791.06 17472.80 14968.58 22084.57 22353.55 19193.96 20772.97 14671.96 22387.27 232
gg-mvs-nofinetune77.18 18674.31 20485.80 8391.42 11168.36 6971.78 33794.72 2749.61 34077.12 12345.92 36177.41 893.98 20667.62 20193.16 5195.05 72
MVP-Stereo77.12 18776.23 18079.79 23881.72 27666.34 12289.29 22990.88 17870.56 21262.01 28382.88 24049.34 22794.13 19465.55 22493.80 3978.88 336
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
X-MVStestdata76.86 18874.13 20885.05 10393.22 6163.78 18292.92 10392.66 10473.99 12378.18 11110.19 37655.25 16997.41 6079.16 10691.58 7293.95 112
DU-MVS76.86 18875.84 18579.91 23482.96 26660.26 25291.26 17491.54 15176.46 9568.88 21486.35 20256.16 16192.13 26166.38 21362.55 28887.35 229
mvsmamba76.85 19075.71 18880.25 22583.07 26559.16 26991.44 16080.64 32776.84 8967.95 22686.33 20446.17 25694.24 19276.06 12772.92 21587.36 228
Anonymous2024052976.84 19174.15 20784.88 10991.02 11864.95 15693.84 7291.09 17153.57 32973.00 16187.42 19335.91 30797.32 6669.14 18772.41 22192.36 152
c3_l76.83 19275.47 19080.93 21485.02 23764.18 17690.39 20188.11 27071.66 18366.65 24781.64 25663.58 8692.56 24869.31 18562.86 28586.04 256
WR-MVS76.76 19375.74 18779.82 23784.60 24262.27 21792.60 11692.51 11176.06 9767.87 23185.34 21356.76 15390.24 28962.20 24763.69 28386.94 237
v114476.73 19474.88 19482.27 17780.23 29266.60 11691.68 15690.21 20373.69 13369.06 21181.89 25152.73 20094.40 18569.21 18665.23 26785.80 262
IterMVS-LS76.49 19575.18 19380.43 22084.49 24562.74 20990.64 19588.80 25272.40 15965.16 25581.72 25460.98 10992.27 25967.74 19964.65 27586.29 247
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
V4276.46 19674.55 20082.19 18179.14 30467.82 8490.26 20689.42 22873.75 13168.63 21981.89 25151.31 21194.09 19671.69 16364.84 27184.66 279
v14876.19 19774.47 20281.36 19980.05 29364.44 16591.75 15490.23 20173.68 13467.13 24080.84 27155.92 16693.86 21368.95 18961.73 29985.76 265
Effi-MVS+-dtu76.14 19875.28 19278.72 25583.22 26255.17 30589.87 21787.78 27575.42 10467.98 22581.43 26045.08 26292.52 25075.08 13471.63 22488.48 212
cl____76.07 19974.67 19580.28 22385.15 23361.76 22590.12 20988.73 25571.16 19865.43 25281.57 25861.15 10692.95 22866.54 21062.17 29286.13 254
DIV-MVS_self_test76.07 19974.67 19580.28 22385.14 23461.75 22690.12 20988.73 25571.16 19865.42 25381.60 25761.15 10692.94 23266.54 21062.16 29486.14 252
FMVSNet276.07 19974.01 21082.26 17988.85 16267.66 8891.33 17191.61 14970.84 20565.98 24982.25 24748.03 23892.00 26558.46 26668.73 24487.10 234
v14419276.05 20274.03 20982.12 18479.50 29866.55 11891.39 16689.71 22272.30 16268.17 22381.33 26351.75 20794.03 20467.94 19764.19 27785.77 263
NR-MVSNet76.05 20274.59 19880.44 21982.96 26662.18 21890.83 18991.73 14277.12 8660.96 28786.35 20259.28 12991.80 26860.74 25461.34 30387.35 229
v119275.98 20473.92 21182.15 18279.73 29466.24 12591.22 17689.75 21672.67 15168.49 22181.42 26149.86 22394.27 18967.08 20565.02 26985.95 259
FE-MVS75.97 20573.02 22184.82 11189.78 14065.56 14077.44 32991.07 17364.55 26472.66 16679.85 28646.05 25796.69 9954.97 27880.82 15892.21 161
eth_miper_zixun_eth75.96 20674.40 20380.66 21684.66 24163.02 20089.28 23088.27 26771.88 17565.73 25081.65 25559.45 12592.81 23668.13 19460.53 30886.14 252
TranMVSNet+NR-MVSNet75.86 20774.52 20179.89 23582.44 26960.64 24891.37 16991.37 15876.63 9267.65 23386.21 20652.37 20391.55 27361.84 24960.81 30687.48 224
SCA75.82 20872.76 22585.01 10586.63 21070.08 3081.06 30789.19 23671.60 18970.01 20077.09 30745.53 25990.25 28660.43 25673.27 21194.68 84
LPG-MVS_test75.82 20874.58 19979.56 24484.31 24959.37 26590.44 19889.73 21969.49 22364.86 25688.42 17338.65 28494.30 18772.56 15372.76 21685.01 276
GBi-Net75.65 21073.83 21281.10 20788.85 16265.11 15190.01 21390.32 19370.84 20567.04 24180.25 28148.03 23891.54 27459.80 26169.34 23886.64 240
test175.65 21073.83 21281.10 20788.85 16265.11 15190.01 21390.32 19370.84 20567.04 24180.25 28148.03 23891.54 27459.80 26169.34 23886.64 240
v192192075.63 21273.49 21782.06 18879.38 29966.35 12191.07 18389.48 22571.98 17067.99 22481.22 26649.16 23293.90 21066.56 20964.56 27685.92 261
ACMP71.68 1075.58 21374.23 20679.62 24284.97 23859.64 26090.80 19089.07 24470.39 21362.95 27687.30 19538.28 28793.87 21172.89 14771.45 22785.36 271
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
v875.35 21473.26 21981.61 19580.67 28466.82 10989.54 22489.27 23271.65 18463.30 27480.30 28054.99 17594.06 19967.33 20462.33 29183.94 284
tpm cat175.30 21572.21 23384.58 12088.52 16867.77 8578.16 32788.02 27261.88 29168.45 22276.37 31360.65 11194.03 20453.77 28474.11 20591.93 165
PLCcopyleft68.80 1475.23 21673.68 21579.86 23692.93 7058.68 27590.64 19588.30 26560.90 29664.43 26590.53 14642.38 27294.57 17756.52 27276.54 19286.33 246
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v124075.21 21772.98 22281.88 19079.20 30166.00 12990.75 19289.11 24271.63 18867.41 23781.22 26647.36 24593.87 21165.46 22564.72 27485.77 263
Fast-Effi-MVS+-dtu75.04 21873.37 21880.07 22980.86 28159.52 26391.20 17885.38 29771.90 17365.20 25484.84 21941.46 27492.97 22766.50 21272.96 21487.73 221
dp75.01 21972.09 23483.76 13989.28 15366.22 12679.96 31989.75 21671.16 19867.80 23277.19 30651.81 20692.54 24950.39 29271.44 22892.51 150
TAPA-MVS70.22 1274.94 22073.53 21679.17 24990.40 13052.07 31989.19 23389.61 22362.69 28370.07 19992.67 11048.89 23594.32 18638.26 34479.97 16191.12 180
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
v1074.77 22172.54 23081.46 19780.33 29066.71 11389.15 23489.08 24370.94 20363.08 27579.86 28552.52 20194.04 20265.70 22162.17 29283.64 286
XVG-OURS-SEG-HR74.70 22273.08 22079.57 24378.25 31657.33 29280.49 31087.32 27863.22 27668.76 21790.12 16044.89 26391.59 27270.55 17374.09 20689.79 195
RRT_MVS74.44 22372.97 22378.84 25482.36 27057.66 28689.83 21988.79 25470.61 21164.58 26084.89 21839.24 28092.65 24670.11 17666.34 26086.21 250
ACMM69.62 1374.34 22472.73 22679.17 24984.25 25157.87 28290.36 20289.93 21163.17 27865.64 25186.04 20937.79 29594.10 19565.89 21871.52 22685.55 268
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA74.31 22572.30 23280.32 22191.49 11061.66 22790.85 18880.72 32656.67 32163.85 26990.64 14346.75 24790.84 28153.79 28375.99 19788.47 214
XVG-OURS74.25 22672.46 23179.63 24178.45 31457.59 28880.33 31287.39 27763.86 26968.76 21789.62 16440.50 27791.72 27069.00 18874.25 20489.58 198
test_fmvs174.07 22773.69 21475.22 28878.91 30847.34 34189.06 23774.69 34163.68 27179.41 9691.59 13124.36 33987.77 31385.22 6076.26 19590.55 187
CVMVSNet74.04 22874.27 20573.33 30485.33 23043.94 35289.53 22588.39 26354.33 32870.37 19590.13 15849.17 23184.05 33161.83 25079.36 16591.99 164
Baseline_NR-MVSNet73.99 22972.83 22477.48 26880.78 28259.29 26891.79 14984.55 30568.85 23268.99 21280.70 27256.16 16192.04 26462.67 24460.98 30581.11 317
pmmvs473.92 23071.81 23880.25 22579.17 30265.24 14787.43 25987.26 28067.64 24463.46 27283.91 23148.96 23491.53 27762.94 24165.49 26383.96 283
D2MVS73.80 23172.02 23579.15 25179.15 30362.97 20188.58 24390.07 20672.94 14659.22 29578.30 29542.31 27392.70 24265.59 22372.00 22281.79 314
CR-MVSNet73.79 23270.82 24582.70 16583.15 26367.96 8170.25 34084.00 31073.67 13569.97 20272.41 32857.82 14089.48 29752.99 28773.13 21290.64 185
test_djsdf73.76 23372.56 22977.39 27077.00 32553.93 31189.07 23590.69 18165.80 25663.92 26782.03 25043.14 27092.67 24372.83 14868.53 24585.57 267
pmmvs573.35 23471.52 24078.86 25378.64 31260.61 24991.08 18186.90 28167.69 24163.32 27383.64 23244.33 26590.53 28362.04 24866.02 26285.46 269
Anonymous2023121173.08 23570.39 24981.13 20590.62 12663.33 19491.40 16490.06 20851.84 33464.46 26480.67 27436.49 30594.07 19863.83 23564.17 27885.98 258
tt080573.07 23670.73 24680.07 22978.37 31557.05 29487.78 25392.18 12361.23 29567.04 24186.49 20131.35 32494.58 17565.06 22867.12 25488.57 210
miper_lstm_enhance73.05 23771.73 23977.03 27583.80 25558.32 27881.76 29888.88 24969.80 22161.01 28678.23 29757.19 14587.51 31765.34 22659.53 31385.27 274
jajsoiax73.05 23771.51 24177.67 26577.46 32254.83 30788.81 23990.04 20969.13 23062.85 27883.51 23431.16 32592.75 23970.83 16869.80 23485.43 270
LCM-MVSNet-Re72.93 23971.84 23776.18 28488.49 16948.02 33680.07 31770.17 35173.96 12652.25 32480.09 28449.98 22188.24 30667.35 20284.23 13692.28 156
pm-mvs172.89 24071.09 24378.26 26079.10 30557.62 28790.80 19089.30 23167.66 24262.91 27781.78 25349.11 23392.95 22860.29 25858.89 31684.22 282
tpmvs72.88 24169.76 25582.22 18090.98 11967.05 10478.22 32688.30 26563.10 27964.35 26674.98 32055.09 17494.27 18943.25 32469.57 23785.34 272
test0.0.03 172.76 24272.71 22772.88 30880.25 29147.99 33791.22 17689.45 22671.51 19362.51 28187.66 18953.83 18785.06 32850.16 29467.84 25285.58 266
UniMVSNet_ETH3D72.74 24370.53 24879.36 24678.62 31356.64 29685.01 27589.20 23563.77 27064.84 25884.44 22534.05 31291.86 26763.94 23470.89 23189.57 199
mvs_tets72.71 24471.11 24277.52 26677.41 32354.52 30988.45 24589.76 21568.76 23562.70 27983.26 23729.49 32992.71 24070.51 17469.62 23685.34 272
FMVSNet172.71 24469.91 25381.10 20783.60 25965.11 15190.01 21390.32 19363.92 26863.56 27180.25 28136.35 30691.54 27454.46 28066.75 25786.64 240
test_fmvs1_n72.69 24671.92 23674.99 29171.15 34347.08 34387.34 26175.67 33663.48 27378.08 11391.17 13820.16 35187.87 31084.65 6675.57 19990.01 193
IterMVS72.65 24770.83 24478.09 26282.17 27262.96 20287.64 25786.28 28871.56 19160.44 28978.85 29345.42 26186.66 32163.30 23961.83 29684.65 280
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PatchMatch-RL72.06 24869.98 25078.28 25989.51 14855.70 30283.49 28483.39 31661.24 29463.72 27082.76 24134.77 31093.03 22653.37 28677.59 18086.12 255
PVSNet_068.08 1571.81 24968.32 26482.27 17784.68 24062.31 21688.68 24190.31 19675.84 9957.93 30680.65 27537.85 29494.19 19369.94 17729.05 36890.31 189
MIMVSNet71.64 25068.44 26281.23 20281.97 27564.44 16573.05 33688.80 25269.67 22264.59 25974.79 32132.79 31687.82 31153.99 28276.35 19491.42 171
test_vis1_n71.63 25170.73 24674.31 29869.63 34947.29 34286.91 26672.11 34763.21 27775.18 14290.17 15620.40 34985.76 32584.59 6774.42 20389.87 194
bld_raw_dy_0_6471.59 25269.71 25677.22 27477.82 32158.12 28087.71 25573.66 34368.01 23961.90 28584.29 22733.68 31388.43 30469.91 17870.43 23285.11 275
IterMVS-SCA-FT71.55 25369.97 25176.32 28281.48 27760.67 24787.64 25785.99 29366.17 25459.50 29378.88 29245.53 25983.65 33562.58 24561.93 29584.63 281
v7n71.31 25468.65 25979.28 24776.40 32760.77 24286.71 26989.45 22664.17 26758.77 30078.24 29644.59 26493.54 21757.76 26861.75 29883.52 289
anonymousdsp71.14 25569.37 25776.45 28172.95 33854.71 30884.19 27988.88 24961.92 29062.15 28279.77 28738.14 29091.44 27968.90 19067.45 25383.21 295
F-COLMAP70.66 25668.44 26277.32 27186.37 21655.91 30088.00 24986.32 28756.94 31957.28 30988.07 18433.58 31492.49 25151.02 29068.37 24683.55 287
WR-MVS_H70.59 25769.94 25272.53 31081.03 28051.43 32287.35 26092.03 12767.38 24560.23 29080.70 27255.84 16783.45 33746.33 31458.58 31882.72 302
CP-MVSNet70.50 25869.91 25372.26 31380.71 28351.00 32587.23 26290.30 19767.84 24059.64 29282.69 24250.23 22082.30 34551.28 28959.28 31483.46 291
RPMNet70.42 25965.68 27684.63 11983.15 26367.96 8170.25 34090.45 18746.83 34869.97 20265.10 34756.48 16095.30 15435.79 34973.13 21290.64 185
tfpnnormal70.10 26067.36 26778.32 25883.45 26160.97 23888.85 23892.77 9964.85 26360.83 28878.53 29443.52 26893.48 21931.73 36061.70 30080.52 324
TransMVSNet (Re)70.07 26167.66 26677.31 27280.62 28659.13 27191.78 15184.94 30265.97 25560.08 29180.44 27750.78 21491.87 26648.84 30045.46 34680.94 319
CL-MVSNet_self_test69.92 26268.09 26575.41 28773.25 33755.90 30190.05 21289.90 21269.96 21861.96 28476.54 31051.05 21387.64 31449.51 29850.59 33882.70 304
DP-MVS69.90 26366.48 27080.14 22795.36 2862.93 20389.56 22276.11 33450.27 33957.69 30785.23 21439.68 27995.73 13133.35 35471.05 23081.78 315
PS-CasMVS69.86 26469.13 25872.07 31680.35 28950.57 32787.02 26489.75 21667.27 24659.19 29682.28 24646.58 24982.24 34650.69 29159.02 31583.39 293
MSDG69.54 26565.73 27580.96 21285.11 23663.71 18684.19 27983.28 31756.95 31854.50 31584.03 22831.50 32296.03 12142.87 32869.13 24183.14 297
PEN-MVS69.46 26668.56 26072.17 31579.27 30049.71 33186.90 26789.24 23367.24 24959.08 29782.51 24547.23 24683.54 33648.42 30257.12 31983.25 294
LS3D69.17 26766.40 27177.50 26791.92 9756.12 29985.12 27480.37 32846.96 34656.50 31187.51 19237.25 29893.71 21432.52 35979.40 16482.68 305
PatchT69.11 26865.37 28080.32 22182.07 27463.68 18967.96 34987.62 27650.86 33769.37 20665.18 34657.09 14688.53 30341.59 33366.60 25888.74 207
KD-MVS_2432*160069.03 26966.37 27277.01 27685.56 22861.06 23681.44 30390.25 19967.27 24658.00 30476.53 31154.49 17987.63 31548.04 30435.77 36082.34 308
miper_refine_blended69.03 26966.37 27277.01 27685.56 22861.06 23681.44 30390.25 19967.27 24658.00 30476.53 31154.49 17987.63 31548.04 30435.77 36082.34 308
MVS_030468.99 27167.23 26974.28 29980.36 28852.54 31687.01 26586.36 28659.89 30566.22 24873.56 32424.25 34088.03 30857.34 27170.11 23382.27 310
mvsany_test168.77 27268.56 26069.39 32373.57 33645.88 34880.93 30860.88 36459.65 30671.56 18590.26 15443.22 26975.05 35474.26 14262.70 28787.25 233
ACMH63.93 1768.62 27364.81 28280.03 23185.22 23263.25 19587.72 25484.66 30460.83 29751.57 32779.43 29127.29 33594.96 16041.76 33164.84 27181.88 313
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
EG-PatchMatch MVS68.55 27465.41 27977.96 26378.69 31162.93 20389.86 21889.17 23760.55 29850.27 33277.73 30122.60 34594.06 19947.18 31072.65 21876.88 344
ADS-MVSNet68.54 27564.38 28981.03 21188.06 18566.90 10868.01 34784.02 30957.57 31364.48 26269.87 33838.68 28289.21 29940.87 33567.89 25086.97 235
DTE-MVSNet68.46 27667.33 26871.87 31877.94 31949.00 33486.16 27288.58 26166.36 25358.19 30182.21 24846.36 25083.87 33444.97 32155.17 32682.73 301
our_test_368.29 27764.69 28479.11 25278.92 30664.85 15888.40 24685.06 30060.32 30152.68 32276.12 31540.81 27689.80 29644.25 32355.65 32482.67 306
Patchmatch-RL test68.17 27864.49 28779.19 24871.22 34253.93 31170.07 34271.54 35069.22 22756.79 31062.89 35056.58 15888.61 30069.53 18252.61 33395.03 74
XVG-ACMP-BASELINE68.04 27965.53 27875.56 28674.06 33552.37 31778.43 32385.88 29462.03 28858.91 29981.21 26820.38 35091.15 28060.69 25568.18 24783.16 296
FMVSNet568.04 27965.66 27775.18 29084.43 24757.89 28183.54 28386.26 28961.83 29253.64 32073.30 32537.15 30185.08 32748.99 29961.77 29782.56 307
ppachtmachnet_test67.72 28163.70 29179.77 23978.92 30666.04 12888.68 24182.90 31960.11 30355.45 31275.96 31639.19 28190.55 28239.53 33952.55 33482.71 303
ACMH+65.35 1667.65 28264.55 28576.96 27884.59 24357.10 29388.08 24880.79 32558.59 31253.00 32181.09 27026.63 33792.95 22846.51 31261.69 30180.82 320
pmmvs667.57 28364.76 28376.00 28572.82 34053.37 31388.71 24086.78 28553.19 33057.58 30878.03 29935.33 30992.41 25355.56 27654.88 32882.21 311
Anonymous2023120667.53 28465.78 27472.79 30974.95 33147.59 33988.23 24787.32 27861.75 29358.07 30377.29 30437.79 29587.29 31942.91 32663.71 28283.48 290
Patchmtry67.53 28463.93 29078.34 25782.12 27364.38 16968.72 34484.00 31048.23 34559.24 29472.41 32857.82 14089.27 29846.10 31556.68 32381.36 316
USDC67.43 28664.51 28676.19 28377.94 31955.29 30478.38 32485.00 30173.17 14148.36 33980.37 27821.23 34792.48 25252.15 28864.02 28080.81 321
ADS-MVSNet266.90 28763.44 29377.26 27388.06 18560.70 24668.01 34775.56 33857.57 31364.48 26269.87 33838.68 28284.10 33040.87 33567.89 25086.97 235
CMPMVSbinary48.56 2166.77 28864.41 28873.84 30170.65 34650.31 32877.79 32885.73 29645.54 34944.76 34982.14 24935.40 30890.14 29263.18 24074.54 20281.07 318
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft61.12 1866.39 28962.92 29676.80 28076.51 32657.77 28389.22 23183.41 31555.48 32553.86 31977.84 30026.28 33893.95 20834.90 35168.76 24378.68 338
LTVRE_ROB59.60 1966.27 29063.54 29274.45 29584.00 25451.55 32167.08 35083.53 31358.78 31054.94 31480.31 27934.54 31193.23 22340.64 33768.03 24878.58 339
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
JIA-IIPM66.06 29162.45 29976.88 27981.42 27954.45 31057.49 36288.67 25749.36 34163.86 26846.86 36056.06 16490.25 28649.53 29768.83 24285.95 259
Patchmatch-test65.86 29260.94 30580.62 21883.75 25658.83 27358.91 36175.26 34044.50 35250.95 33177.09 30758.81 13387.90 30935.13 35064.03 27995.12 70
UnsupCasMVSNet_eth65.79 29363.10 29473.88 30070.71 34550.29 32981.09 30689.88 21372.58 15349.25 33774.77 32232.57 31887.43 31855.96 27541.04 35383.90 285
test_fmvs265.78 29464.84 28168.60 32666.54 35441.71 35483.27 28869.81 35254.38 32767.91 22884.54 22415.35 35681.22 35075.65 12966.16 26182.88 298
pmmvs-eth3d65.53 29562.32 30075.19 28969.39 35059.59 26182.80 29583.43 31462.52 28451.30 32972.49 32632.86 31587.16 32055.32 27750.73 33778.83 337
SixPastTwentyTwo64.92 29661.78 30374.34 29778.74 31049.76 33083.42 28779.51 33162.86 28050.27 33277.35 30230.92 32790.49 28445.89 31647.06 34382.78 299
OurMVSNet-221017-064.68 29762.17 30172.21 31476.08 33047.35 34080.67 30981.02 32456.19 32251.60 32679.66 28927.05 33688.56 30253.60 28553.63 33180.71 322
test_040264.54 29861.09 30474.92 29284.10 25360.75 24487.95 25079.71 33052.03 33252.41 32377.20 30532.21 32091.64 27123.14 36361.03 30472.36 352
testgi64.48 29962.87 29769.31 32471.24 34140.62 35785.49 27379.92 32965.36 26054.18 31783.49 23523.74 34384.55 32941.60 33260.79 30782.77 300
RPSCF64.24 30061.98 30271.01 32076.10 32945.00 34975.83 33375.94 33546.94 34758.96 29884.59 22231.40 32382.00 34747.76 30860.33 31286.04 256
EU-MVSNet64.01 30163.01 29567.02 33274.40 33438.86 36283.27 28886.19 29145.11 35054.27 31681.15 26936.91 30480.01 35248.79 30157.02 32082.19 312
test20.0363.83 30262.65 29867.38 33170.58 34739.94 35886.57 27084.17 30763.29 27551.86 32577.30 30337.09 30282.47 34338.87 34354.13 33079.73 330
MDA-MVSNet_test_wron63.78 30360.16 30674.64 29378.15 31760.41 25083.49 28484.03 30856.17 32439.17 35871.59 33437.22 29983.24 34042.87 32848.73 34080.26 327
YYNet163.76 30460.14 30774.62 29478.06 31860.19 25583.46 28683.99 31256.18 32339.25 35771.56 33537.18 30083.34 33842.90 32748.70 34180.32 326
K. test v363.09 30559.61 30973.53 30376.26 32849.38 33383.27 28877.15 33364.35 26647.77 34172.32 33028.73 33187.79 31249.93 29636.69 35983.41 292
COLMAP_ROBcopyleft57.96 2062.98 30659.65 30872.98 30781.44 27853.00 31583.75 28275.53 33948.34 34448.81 33881.40 26224.14 34190.30 28532.95 35660.52 30975.65 347
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
Anonymous2024052162.09 30759.08 31071.10 31967.19 35348.72 33583.91 28185.23 29950.38 33847.84 34071.22 33720.74 34885.51 32646.47 31358.75 31779.06 335
AllTest61.66 30858.06 31272.46 31179.57 29551.42 32380.17 31568.61 35451.25 33545.88 34381.23 26419.86 35286.58 32238.98 34157.01 32179.39 332
UnsupCasMVSNet_bld61.60 30957.71 31373.29 30568.73 35151.64 32078.61 32289.05 24557.20 31746.11 34261.96 35328.70 33288.60 30150.08 29538.90 35779.63 331
MDA-MVSNet-bldmvs61.54 31057.70 31473.05 30679.53 29757.00 29583.08 29281.23 32357.57 31334.91 36072.45 32732.79 31686.26 32435.81 34841.95 35175.89 346
KD-MVS_self_test60.87 31158.60 31167.68 32966.13 35539.93 35975.63 33484.70 30357.32 31649.57 33568.45 34129.55 32882.87 34148.09 30347.94 34280.25 328
TinyColmap60.32 31256.42 31972.00 31778.78 30953.18 31478.36 32575.64 33752.30 33141.59 35675.82 31814.76 35988.35 30535.84 34754.71 32974.46 348
MVS-HIRNet60.25 31355.55 32074.35 29684.37 24856.57 29771.64 33874.11 34234.44 35945.54 34742.24 36631.11 32689.81 29440.36 33876.10 19676.67 345
MIMVSNet160.16 31457.33 31568.67 32569.71 34844.13 35178.92 32184.21 30655.05 32644.63 35071.85 33223.91 34281.54 34932.63 35855.03 32780.35 325
PM-MVS59.40 31556.59 31767.84 32763.63 35741.86 35376.76 33063.22 36159.01 30951.07 33072.27 33111.72 36283.25 33961.34 25150.28 33978.39 340
new-patchmatchnet59.30 31656.48 31867.79 32865.86 35644.19 35082.47 29681.77 32159.94 30443.65 35366.20 34527.67 33481.68 34839.34 34041.40 35277.50 343
test_vis1_rt59.09 31757.31 31664.43 33468.44 35246.02 34783.05 29348.63 37151.96 33349.57 33563.86 34916.30 35480.20 35171.21 16662.79 28667.07 358
test_fmvs356.82 31854.86 32162.69 33653.59 36535.47 36475.87 33265.64 35943.91 35355.10 31371.43 3366.91 37074.40 35768.64 19252.63 33278.20 341
DSMNet-mixed56.78 31954.44 32263.79 33563.21 35829.44 37364.43 35364.10 36042.12 35651.32 32871.60 33331.76 32175.04 35536.23 34665.20 26886.87 238
pmmvs355.51 32051.50 32567.53 33057.90 36350.93 32680.37 31173.66 34340.63 35744.15 35264.75 34816.30 35478.97 35344.77 32240.98 35572.69 350
TDRefinement55.28 32151.58 32466.39 33359.53 36246.15 34676.23 33172.80 34544.60 35142.49 35476.28 31415.29 35782.39 34433.20 35543.75 34870.62 354
LF4IMVS54.01 32252.12 32359.69 33762.41 36039.91 36068.59 34568.28 35642.96 35544.55 35175.18 31914.09 36168.39 36141.36 33451.68 33570.78 353
N_pmnet50.55 32349.11 32654.88 34377.17 3244.02 38384.36 2782.00 38248.59 34245.86 34568.82 34032.22 31982.80 34231.58 36151.38 33677.81 342
new_pmnet49.31 32446.44 32757.93 33862.84 35940.74 35668.47 34662.96 36236.48 35835.09 35957.81 35514.97 35872.18 35832.86 35746.44 34460.88 360
mvsany_test348.86 32546.35 32856.41 33946.00 37131.67 36962.26 35547.25 37243.71 35445.54 34768.15 34210.84 36364.44 36957.95 26735.44 36273.13 349
test_f46.58 32643.45 32955.96 34045.18 37232.05 36861.18 35649.49 37033.39 36042.05 35562.48 3527.00 36965.56 36547.08 31143.21 35070.27 355
FPMVS45.64 32743.10 33053.23 34551.42 36836.46 36364.97 35271.91 34829.13 36327.53 36361.55 3549.83 36565.01 36716.00 37055.58 32558.22 361
EGC-MVSNET42.35 32838.09 33155.11 34274.57 33246.62 34571.63 33955.77 3650.04 3770.24 37862.70 35114.24 36074.91 35617.59 36746.06 34543.80 363
LCM-MVSNet40.54 32935.79 33454.76 34436.92 37830.81 37051.41 36569.02 35322.07 36524.63 36545.37 3624.56 37465.81 36433.67 35334.50 36367.67 356
APD_test140.50 33037.31 33350.09 34751.88 36635.27 36559.45 36052.59 36721.64 36626.12 36457.80 3564.56 37466.56 36322.64 36439.09 35648.43 362
test_vis3_rt40.46 33137.79 33248.47 34944.49 37333.35 36766.56 35132.84 37932.39 36129.65 36139.13 3693.91 37768.65 36050.17 29340.99 35443.40 364
ANet_high40.27 33235.20 33555.47 34134.74 37934.47 36663.84 35471.56 34948.42 34318.80 36841.08 3679.52 36664.45 36820.18 3658.66 37567.49 357
test_method38.59 33335.16 33648.89 34854.33 36421.35 37845.32 36853.71 3667.41 37428.74 36251.62 3588.70 36752.87 37233.73 35232.89 36472.47 351
PMMVS237.93 33433.61 33750.92 34646.31 37024.76 37660.55 35950.05 36828.94 36420.93 36647.59 3594.41 37665.13 36625.14 36218.55 37062.87 359
Gipumacopyleft34.91 33531.44 33845.30 35070.99 34439.64 36119.85 37272.56 34620.10 36816.16 37221.47 3735.08 37371.16 35913.07 37143.70 34925.08 370
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
testf132.77 33629.47 33942.67 35241.89 37530.81 37052.07 36343.45 37315.45 36918.52 36944.82 3632.12 37858.38 37016.05 36830.87 36638.83 365
APD_test232.77 33629.47 33942.67 35241.89 37530.81 37052.07 36343.45 37315.45 36918.52 36944.82 3632.12 37858.38 37016.05 36830.87 36638.83 365
PMVScopyleft26.43 2231.84 33828.16 34142.89 35125.87 38127.58 37450.92 36649.78 36921.37 36714.17 37340.81 3682.01 38066.62 3629.61 37338.88 35834.49 369
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
E-PMN24.61 33924.00 34326.45 35643.74 37418.44 38060.86 35739.66 37515.11 3719.53 37522.10 3726.52 37146.94 3748.31 37410.14 37213.98 372
MVEpermissive24.84 2324.35 34019.77 34638.09 35434.56 38026.92 37526.57 37038.87 37711.73 37311.37 37427.44 3701.37 38150.42 37311.41 37214.60 37136.93 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
EMVS23.76 34123.20 34525.46 35741.52 37716.90 38160.56 35838.79 37814.62 3728.99 37620.24 3757.35 36845.82 3757.25 3759.46 37313.64 373
tmp_tt22.26 34223.75 34417.80 3585.23 38212.06 38235.26 36939.48 3762.82 37618.94 36744.20 36522.23 34624.64 37736.30 3459.31 37416.69 371
cdsmvs_eth3d_5k19.86 34326.47 3420.00 3620.00 3850.00 3860.00 37393.45 750.00 3800.00 38195.27 4349.56 2250.00 3810.00 3790.00 3780.00 377
wuyk23d11.30 34410.95 34712.33 35948.05 36919.89 37925.89 3711.92 3833.58 3753.12 3771.37 3770.64 38215.77 3786.23 3767.77 3761.35 374
ab-mvs-re7.91 34510.55 3480.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 38194.95 510.00 3850.00 3810.00 3790.00 3780.00 377
testmvs7.23 3469.62 3490.06 3610.04 3830.02 38584.98 2760.02 3840.03 3780.18 3791.21 3780.01 3840.02 3790.14 3770.01 3770.13 376
test1236.92 3479.21 3500.08 3600.03 3840.05 38481.65 3010.01 3850.02 3790.14 3800.85 3790.03 3830.02 3790.12 3780.00 3780.16 375
pcd_1.5k_mvsjas4.46 3485.95 3510.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 38053.55 1910.00 3810.00 3790.00 3780.00 377
test_blank0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
uanet_test0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
DCPMVS0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
sosnet-low-res0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
sosnet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
uncertanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
Regformer0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
uanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
FOURS193.95 4561.77 22493.96 6291.92 13162.14 28786.57 33
MSC_two_6792asdad89.60 897.31 473.22 1095.05 1999.07 1392.01 1194.77 2496.51 20
PC_three_145280.91 3594.07 296.83 1383.57 499.12 595.70 297.42 497.55 4
No_MVS89.60 897.31 473.22 1095.05 1999.07 1392.01 1194.77 2496.51 20
test_one_060196.32 1869.74 4094.18 4971.42 19590.67 1596.85 1174.45 18
eth-test20.00 385
eth-test0.00 385
ZD-MVS96.63 965.50 14393.50 7370.74 20985.26 4895.19 4864.92 6797.29 6887.51 4193.01 52
RE-MVS-def80.48 11792.02 9158.56 27690.90 18590.45 18762.76 28178.89 10294.46 6549.30 22878.77 11286.77 11592.28 156
IU-MVS96.46 1169.91 3595.18 1480.75 3695.28 192.34 895.36 1396.47 24
OPU-MVS89.97 397.52 373.15 1296.89 497.00 883.82 299.15 295.72 197.63 397.62 2
test_241102_TWO94.41 4071.65 18492.07 697.21 474.58 1799.11 692.34 895.36 1396.59 15
test_241102_ONE96.45 1269.38 4594.44 3871.65 18492.11 497.05 776.79 999.11 6
9.1487.63 2293.86 4794.41 4994.18 4972.76 15086.21 3596.51 1766.64 5097.88 4190.08 2494.04 35
save fliter93.84 4867.89 8395.05 3792.66 10478.19 69
test_0728_THIRD72.48 15590.55 1696.93 976.24 1199.08 1191.53 1694.99 1696.43 25
test_0728_SECOND88.70 1596.45 1270.43 2796.64 894.37 4499.15 291.91 1494.90 2096.51 20
test072696.40 1569.99 3196.76 694.33 4671.92 17191.89 897.11 673.77 21
GSMVS94.68 84
test_part296.29 1968.16 7790.78 13
sam_mvs157.85 13994.68 84
sam_mvs54.91 176
ambc69.61 32261.38 36141.35 35549.07 36785.86 29550.18 33466.40 34410.16 36488.14 30745.73 31744.20 34779.32 334
MTGPAbinary92.23 117
test_post178.95 32020.70 37453.05 19691.50 27860.43 256
test_post23.01 37156.49 15992.67 243
patchmatchnet-post67.62 34357.62 14290.25 286
GG-mvs-BLEND86.53 6291.91 9869.67 4375.02 33594.75 2678.67 10990.85 14277.91 794.56 17972.25 15693.74 4195.36 56
MTMP93.77 7432.52 380
gm-plane-assit88.42 17367.04 10578.62 6691.83 12697.37 6276.57 124
test9_res89.41 2594.96 1795.29 61
TEST994.18 4167.28 9794.16 5293.51 7171.75 18285.52 4395.33 3868.01 4197.27 72
test_894.19 4067.19 9994.15 5593.42 7771.87 17685.38 4695.35 3768.19 3996.95 91
agg_prior286.41 5294.75 2895.33 57
agg_prior94.16 4366.97 10793.31 8084.49 5396.75 98
TestCases72.46 31179.57 29551.42 32368.61 35451.25 33545.88 34381.23 26419.86 35286.58 32238.98 34157.01 32179.39 332
test_prior467.18 10193.92 65
test_prior295.10 3675.40 10585.25 4995.61 3367.94 4287.47 4294.77 24
test_prior86.42 6594.71 3567.35 9693.10 9096.84 9695.05 72
旧先验292.00 14159.37 30887.54 2893.47 22075.39 131
新几何291.41 162
新几何184.73 11492.32 8464.28 17391.46 15659.56 30779.77 9292.90 10456.95 15296.57 10363.40 23792.91 5493.34 129
旧先验191.94 9560.74 24591.50 15494.36 6965.23 6291.84 6794.55 88
无先验92.71 10992.61 10862.03 28897.01 8366.63 20893.97 111
原ACMM292.01 138
原ACMM184.42 12493.21 6364.27 17493.40 7965.39 25979.51 9592.50 11258.11 13896.69 9965.27 22793.96 3692.32 154
test22289.77 14161.60 22889.55 22389.42 22856.83 32077.28 12192.43 11652.76 19991.14 8193.09 137
testdata296.09 11661.26 252
segment_acmp65.94 56
testdata81.34 20089.02 15957.72 28489.84 21458.65 31185.32 4794.09 8157.03 14793.28 22269.34 18490.56 8793.03 139
testdata189.21 23277.55 82
test1287.09 4394.60 3668.86 5892.91 9582.67 6865.44 6197.55 5493.69 4494.84 80
plane_prior786.94 20661.51 229
plane_prior687.23 20162.32 21550.66 215
plane_prior591.31 16095.55 14476.74 12278.53 17488.39 215
plane_prior489.14 168
plane_prior361.95 22279.09 5772.53 170
plane_prior293.13 9478.81 63
plane_prior187.15 203
plane_prior62.42 21293.85 6979.38 4978.80 171
n20.00 386
nn0.00 386
door-mid66.01 358
lessismore_v073.72 30272.93 33947.83 33861.72 36345.86 34573.76 32328.63 33389.81 29447.75 30931.37 36583.53 288
LGP-MVS_train79.56 24484.31 24959.37 26589.73 21969.49 22364.86 25688.42 17338.65 28494.30 18772.56 15372.76 21685.01 276
test1193.01 91
door66.57 357
HQP5-MVS63.66 190
HQP-NCC87.54 19594.06 5779.80 4374.18 150
ACMP_Plane87.54 19594.06 5779.80 4374.18 150
BP-MVS77.63 119
HQP4-MVS74.18 15095.61 13988.63 208
HQP3-MVS91.70 14678.90 169
HQP2-MVS51.63 209
NP-MVS87.41 19863.04 19990.30 152
MDTV_nov1_ep13_2view59.90 25880.13 31667.65 24372.79 16554.33 18459.83 26092.58 148
MDTV_nov1_ep1372.61 22889.06 15868.48 6680.33 31290.11 20571.84 17871.81 18175.92 31753.01 19793.92 20948.04 30473.38 210
ACMMP++_ref71.63 224
ACMMP++69.72 235
Test By Simon54.21 185
ITE_SJBPF70.43 32174.44 33347.06 34477.32 33260.16 30254.04 31883.53 23323.30 34484.01 33243.07 32561.58 30280.21 329
DeepMVS_CXcopyleft34.71 35551.45 36724.73 37728.48 38131.46 36217.49 37152.75 3575.80 37242.60 37618.18 36619.42 36936.81 368