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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort by
DVP-MVS++96.05 496.41 394.96 2199.05 1085.34 4998.13 3896.77 5488.38 5997.70 698.77 1292.06 399.84 1297.47 1399.37 199.70 3
PC_three_145291.12 2198.33 298.42 2892.51 299.81 2098.96 299.37 199.70 3
OPU-MVS97.30 299.19 892.31 399.12 698.54 2292.06 399.84 1299.11 199.37 199.74 1
MCST-MVS96.17 396.12 696.32 799.42 289.36 1098.94 1597.10 2595.17 292.11 7298.46 2687.33 2399.97 297.21 1699.31 499.63 7
MSP-MVS95.62 796.54 192.86 9598.31 5480.10 17197.42 9396.78 4892.20 1397.11 1098.29 3193.46 199.10 9996.01 2499.30 599.38 14
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
DPM-MVS96.21 295.53 1098.26 196.26 11095.09 199.15 496.98 3193.39 996.45 1798.79 1090.17 999.99 189.33 11499.25 699.70 3
HPM-MVS++copyleft95.32 1095.48 1194.85 2398.62 3886.04 3497.81 5896.93 3792.45 1195.69 2398.50 2485.38 3099.85 1094.75 4299.18 798.65 42
CNVR-MVS96.30 196.54 195.55 1499.31 587.69 2199.06 997.12 2394.66 396.79 1198.78 1186.42 2799.95 397.59 1299.18 799.00 27
NCCC95.63 695.94 794.69 2799.21 785.15 5999.16 396.96 3494.11 695.59 2498.64 2185.07 3199.91 495.61 3199.10 999.00 27
SMA-MVScopyleft94.70 1694.68 1694.76 2598.02 6985.94 3797.47 8596.77 5485.32 12097.92 398.70 1883.09 5099.84 1295.79 2899.08 1098.49 50
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
MSLP-MVS++94.28 2394.39 2493.97 4798.30 5584.06 7998.64 2196.93 3790.71 2693.08 6098.70 1879.98 7499.21 8494.12 4999.07 1198.63 43
DPE-MVScopyleft95.32 1095.55 994.64 2898.79 2584.87 6697.77 6096.74 5986.11 10196.54 1698.89 788.39 1899.74 3297.67 1199.05 1299.31 18
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
TSAR-MVS + MP.94.79 1595.17 1393.64 6097.66 8084.10 7895.85 20196.42 10591.26 2097.49 996.80 11686.50 2698.49 13195.54 3299.03 1398.33 57
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
test9_res96.00 2599.03 1398.31 61
test_241102_TWO96.78 4888.72 5197.70 698.91 387.86 2099.82 1798.15 399.00 1599.47 9
agg_prior294.30 4699.00 1598.57 45
SED-MVS95.88 596.22 494.87 2299.03 1685.03 6199.12 696.78 4888.72 5197.79 498.91 388.48 1699.82 1798.15 398.97 1799.74 1
IU-MVS99.03 1685.34 4996.86 4392.05 1598.74 198.15 398.97 1799.42 13
train_agg94.28 2394.45 2193.74 5498.64 3583.71 8597.82 5696.65 7384.50 14495.16 2898.09 4684.33 3599.36 7495.91 2798.96 1998.16 72
ETH3 D test640095.56 995.41 1296.00 999.02 1989.42 998.75 1896.80 4787.28 8395.88 2298.95 285.92 2999.41 6697.15 1798.95 2099.18 24
MG-MVS94.25 2593.72 3595.85 1199.38 389.35 1197.98 4898.09 889.99 3592.34 6996.97 10881.30 6298.99 10588.54 11998.88 2199.20 22
DVP-MVScopyleft95.58 895.91 894.57 2999.05 1085.18 5499.06 996.46 10088.75 4996.69 1298.76 1487.69 2199.76 2497.90 898.85 2298.77 34
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
test_0728_SECOND95.14 1799.04 1586.14 3399.06 996.77 5499.84 1297.90 898.85 2299.45 10
test_0728_THIRD88.38 5996.69 1298.76 1489.64 1299.76 2497.47 1398.84 2499.38 14
MSC_two_6792asdad97.14 399.05 1092.19 496.83 4499.81 2098.08 698.81 2599.43 11
No_MVS97.14 399.05 1092.19 496.83 4499.81 2098.08 698.81 2599.43 11
test_prior394.03 3294.34 2593.09 8498.68 2981.91 12398.37 2896.40 10986.08 10394.57 4198.02 5283.14 4799.06 10195.05 3898.79 2798.29 63
test_prior298.37 2886.08 10394.57 4198.02 5283.14 4795.05 3898.79 27
APDe-MVS94.56 1894.75 1593.96 4898.84 2483.40 9298.04 4696.41 10685.79 10995.00 3498.28 3284.32 3899.18 9197.35 1598.77 2999.28 19
DeepC-MVS_fast89.06 294.48 1994.30 2795.02 1998.86 2385.68 4498.06 4496.64 7693.64 891.74 7898.54 2280.17 7399.90 592.28 7598.75 3099.49 8
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
agg_prior194.10 2994.31 2693.48 7098.59 3983.13 9897.77 6096.56 8784.38 14894.19 4598.13 4184.66 3399.16 9395.74 2998.74 3198.15 74
CDPH-MVS93.12 4492.91 4893.74 5498.65 3483.88 8097.67 7096.26 12283.00 18493.22 5898.24 3381.31 6199.21 8489.12 11598.74 3198.14 75
DELS-MVS94.98 1294.49 2096.44 696.42 10890.59 799.21 297.02 2894.40 591.46 8197.08 10483.32 4699.69 4092.83 6898.70 3399.04 25
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
DeepPCF-MVS89.82 194.61 1796.17 589.91 19197.09 10270.21 31998.99 1496.69 6795.57 195.08 3199.23 186.40 2899.87 897.84 1098.66 3499.65 6
PHI-MVS93.59 3993.63 3693.48 7098.05 6881.76 13198.64 2197.13 2282.60 19394.09 5098.49 2580.35 6899.85 1094.74 4398.62 3598.83 32
ACMMP_NAP93.46 4093.23 4394.17 4297.16 10084.28 7596.82 14096.65 7386.24 9994.27 4497.99 5577.94 10099.83 1693.39 5798.57 3698.39 55
ETH3D-3000-0.194.43 2094.42 2394.45 3197.78 7685.78 4097.98 4896.53 9285.29 12395.45 2598.81 883.36 4599.38 6896.07 2398.53 3798.19 69
xxxxxxxxxxxxxcwj94.38 2194.62 1893.68 5898.24 5783.34 9398.61 2392.69 29791.32 1895.07 3298.74 1682.93 5199.38 6895.42 3498.51 3898.32 58
SF-MVS94.17 2694.05 3194.55 3097.56 8585.95 3597.73 6696.43 10484.02 15895.07 3298.74 1682.93 5199.38 6895.42 3498.51 3898.32 58
原ACMM191.22 15397.77 7778.10 22696.61 7981.05 21291.28 8797.42 8877.92 10198.98 10679.85 19698.51 3896.59 165
SD-MVS94.84 1495.02 1494.29 3797.87 7584.61 7097.76 6496.19 12989.59 3996.66 1498.17 3984.33 3599.60 5096.09 2298.50 4198.66 41
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
ZD-MVS99.09 983.22 9796.60 8282.88 18793.61 5498.06 5182.93 5199.14 9595.51 3398.49 42
新几何193.12 8297.44 8981.60 13796.71 6374.54 29891.22 8997.57 7879.13 8499.51 6077.40 21998.46 4398.26 66
SteuartSystems-ACMMP94.13 2894.44 2293.20 7995.41 13181.35 14099.02 1396.59 8389.50 4094.18 4898.36 3083.68 4399.45 6494.77 4198.45 4498.81 33
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112190.66 9989.82 10893.16 8197.39 9381.71 13493.33 26996.66 7274.45 29991.38 8297.55 8279.27 8099.52 5779.95 19398.43 4598.26 66
9.1494.26 2898.10 6598.14 3596.52 9384.74 13594.83 3798.80 982.80 5499.37 7295.95 2698.42 46
testtj94.09 3094.08 3094.09 4599.28 683.32 9597.59 7596.61 7983.60 17394.77 3998.46 2682.72 5599.64 4695.29 3698.42 4699.32 17
HFP-MVS92.89 4992.86 5092.98 8998.71 2781.12 14397.58 7696.70 6485.20 12691.75 7697.97 5978.47 9299.71 3690.95 8798.41 4898.12 77
#test#92.99 4792.99 4692.98 8998.71 2781.12 14397.77 6096.70 6485.75 11091.75 7697.97 5978.47 9299.71 3691.36 8398.41 4898.12 77
ACMMPR92.69 5792.67 5492.75 9998.66 3280.57 15897.58 7696.69 6785.20 12691.57 8097.92 6177.01 11699.67 4490.95 8798.41 4898.00 89
ETH3D cwj APD-0.1693.91 3693.76 3494.36 3496.70 10685.74 4197.22 10096.41 10683.94 16194.13 4998.69 2083.13 4999.37 7295.25 3798.39 5197.97 94
MP-MVS-pluss92.58 6192.35 5993.29 7597.30 9882.53 10996.44 16696.04 13884.68 13889.12 11798.37 2977.48 10899.74 3293.31 6198.38 5297.59 123
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
region2R92.72 5592.70 5392.79 9898.68 2980.53 16197.53 8096.51 9485.22 12491.94 7497.98 5777.26 11099.67 4490.83 9198.37 5398.18 70
APD-MVScopyleft93.61 3893.59 3793.69 5798.76 2683.26 9697.21 10296.09 13482.41 19594.65 4098.21 3481.96 6098.81 11894.65 4498.36 5499.01 26
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ZNCC-MVS92.75 5192.60 5693.23 7898.24 5781.82 12997.63 7196.50 9685.00 13191.05 9197.74 7078.38 9499.80 2390.48 9698.34 5598.07 80
test1294.25 3898.34 5285.55 4696.35 11692.36 6880.84 6399.22 8298.31 5697.98 91
MP-MVScopyleft92.61 6092.67 5492.42 11498.13 6479.73 18097.33 9896.20 12785.63 11290.53 9797.66 7278.14 9899.70 3992.12 7798.30 5797.85 102
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
test22296.15 11378.41 21495.87 19996.46 10071.97 31889.66 10997.45 8476.33 12998.24 5898.30 62
CP-MVS92.54 6292.60 5692.34 11698.50 4579.90 17498.40 2696.40 10984.75 13490.48 9998.09 4677.40 10999.21 8491.15 8698.23 5997.92 97
zzz-MVS92.74 5292.71 5192.86 9597.90 7180.85 15196.47 16196.33 11787.92 6990.20 10298.18 3576.71 12299.76 2492.57 7298.09 6097.96 95
MTAPA92.45 6392.31 6092.86 9597.90 7180.85 15192.88 28296.33 11787.92 6990.20 10298.18 3576.71 12299.76 2492.57 7298.09 6097.96 95
XVS92.69 5792.71 5192.63 10798.52 4280.29 16497.37 9696.44 10287.04 9191.38 8297.83 6777.24 11299.59 5190.46 9798.07 6298.02 84
X-MVStestdata86.26 18184.14 19792.63 10798.52 4280.29 16497.37 9696.44 10287.04 9191.38 8220.73 37377.24 11299.59 5190.46 9798.07 6298.02 84
MVS90.60 10188.64 12496.50 594.25 16690.53 893.33 26997.21 2077.59 27478.88 22397.31 9271.52 19599.69 4089.60 10998.03 6499.27 20
mPP-MVS91.88 7191.82 7192.07 12598.38 5078.63 20897.29 9996.09 13485.12 12888.45 12597.66 7275.53 14399.68 4289.83 10698.02 6597.88 98
HPM-MVScopyleft91.62 7991.53 7791.89 13197.88 7479.22 19296.99 12695.73 15482.07 20089.50 11497.19 9975.59 14298.93 11390.91 8997.94 6697.54 124
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
MVS_111021_HR93.41 4193.39 4093.47 7397.34 9782.83 10597.56 7898.27 689.16 4589.71 10797.14 10079.77 7699.56 5593.65 5397.94 6698.02 84
PGM-MVS91.93 6991.80 7292.32 11898.27 5679.74 17995.28 21897.27 1883.83 16690.89 9497.78 6976.12 13299.56 5588.82 11797.93 6897.66 117
3Dnovator82.32 1089.33 12287.64 14094.42 3393.73 18185.70 4397.73 6696.75 5886.73 9776.21 25595.93 13062.17 25199.68 4281.67 18197.81 6997.88 98
CS-MVS93.12 4493.27 4192.64 10693.86 17783.12 10098.85 1694.85 20188.61 5494.19 4597.42 8879.02 8597.02 19594.89 4097.77 7097.78 108
GST-MVS92.43 6492.22 6493.04 8798.17 6281.64 13697.40 9596.38 11384.71 13790.90 9397.40 9077.55 10799.76 2489.75 10897.74 7197.72 112
PAPM92.87 5092.40 5894.30 3692.25 22387.85 1896.40 17096.38 11391.07 2288.72 12296.90 10982.11 5997.37 17890.05 10497.70 7297.67 116
CANet94.89 1394.64 1795.63 1297.55 8688.12 1599.06 996.39 11294.07 795.34 2797.80 6876.83 11999.87 897.08 1897.64 7398.89 30
testdata90.13 18295.92 11974.17 28696.49 9973.49 30794.82 3897.99 5578.80 8997.93 14683.53 16897.52 7498.29 63
MVSFormer91.36 8590.57 8993.73 5693.00 20288.08 1694.80 23794.48 22280.74 21794.90 3597.13 10178.84 8795.10 28783.77 15997.46 7598.02 84
lupinMVS93.87 3793.58 3894.75 2693.00 20288.08 1699.15 495.50 16691.03 2394.90 3597.66 7278.84 8797.56 16294.64 4597.46 7598.62 44
HPM-MVS_fast90.38 10890.17 9991.03 15797.61 8177.35 24697.15 11195.48 16779.51 24688.79 12196.90 10971.64 19498.81 11887.01 13597.44 7796.94 151
GG-mvs-BLEND93.49 6994.94 14786.26 3181.62 34597.00 2988.32 12894.30 17391.23 596.21 23088.49 12197.43 7898.00 89
旧先验197.39 9379.58 18496.54 9098.08 4984.00 3997.42 7997.62 121
PS-MVSNAJ94.17 2693.52 3996.10 895.65 12692.35 298.21 3395.79 15192.42 1296.24 1898.18 3571.04 20099.17 9296.77 1997.39 8096.79 158
CSCG92.02 6891.65 7593.12 8298.53 4180.59 15797.47 8597.18 2177.06 28384.64 16197.98 5783.98 4099.52 5790.72 9397.33 8199.23 21
SR-MVS92.16 6692.27 6191.83 13598.37 5178.41 21496.67 15295.76 15282.19 19991.97 7398.07 5076.44 12598.64 12293.71 5297.27 8298.45 52
gg-mvs-nofinetune85.48 19382.90 21393.24 7794.51 16185.82 3979.22 34996.97 3361.19 35087.33 13753.01 36390.58 696.07 23286.07 13997.23 8397.81 106
test117291.64 7792.00 6990.54 17198.20 6174.48 28396.45 16495.65 15781.97 20391.63 7998.02 5275.76 13898.61 12393.16 6397.17 8498.52 49
MAR-MVS90.63 10090.22 9691.86 13298.47 4778.20 22497.18 10696.61 7983.87 16588.18 13098.18 3568.71 21399.75 3083.66 16497.15 8597.63 120
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
DROMVSNet91.73 7392.11 6690.58 16993.54 18577.77 23798.07 4394.40 22887.44 7992.99 6297.11 10374.59 16496.87 20593.75 5197.08 8697.11 147
3Dnovator+82.88 889.63 11887.85 13594.99 2094.49 16286.76 2997.84 5595.74 15386.10 10275.47 26796.02 12965.00 23799.51 6082.91 17697.07 8798.72 40
Regformer-194.00 3394.04 3293.87 5098.41 4884.29 7497.43 9197.04 2789.50 4092.75 6698.13 4182.60 5799.26 7993.55 5596.99 8898.06 81
Regformer-293.92 3494.01 3393.67 5998.41 4883.75 8497.43 9197.00 2989.43 4292.69 6798.13 4182.48 5899.22 8293.51 5696.99 8898.04 82
DeepC-MVS86.58 391.53 8191.06 8492.94 9294.52 15881.89 12595.95 19395.98 14090.76 2583.76 17396.76 11773.24 17999.71 3691.67 8196.96 9097.22 145
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CPTT-MVS89.72 11689.87 10789.29 20398.33 5373.30 29297.70 6895.35 17775.68 28987.40 13597.44 8770.43 20598.25 13989.56 11196.90 9196.33 174
APD-MVS_3200maxsize91.23 8991.35 7990.89 16197.89 7376.35 26196.30 17795.52 16579.82 24091.03 9297.88 6474.70 16098.54 12892.11 7896.89 9297.77 109
MVP-Stereo82.65 23881.67 23285.59 27586.10 31478.29 21793.33 26992.82 29477.75 27269.17 31187.98 26059.28 27295.76 25071.77 26596.88 9382.73 348
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
PAPM_NR91.46 8290.82 8693.37 7498.50 4581.81 13095.03 23296.13 13184.65 14086.10 14897.65 7679.24 8299.75 3083.20 17296.88 9398.56 46
EIA-MVS91.73 7392.05 6890.78 16594.52 15876.40 26098.06 4495.34 17889.19 4488.90 12097.28 9677.56 10697.73 15690.77 9296.86 9598.20 68
SR-MVS-dyc-post91.29 8791.45 7890.80 16397.76 7876.03 26696.20 18395.44 17080.56 22290.72 9597.84 6575.76 13898.61 12391.99 7996.79 9697.75 110
RE-MVS-def91.18 8397.76 7876.03 26696.20 18395.44 17080.56 22290.72 9597.84 6573.36 17891.99 7996.79 9697.75 110
jason92.73 5492.23 6394.21 4190.50 26287.30 2598.65 2095.09 18790.61 2792.76 6597.13 10175.28 15397.30 18193.32 6096.75 9898.02 84
jason: jason.
xiu_mvs_v2_base93.92 3493.26 4295.91 1095.07 14292.02 698.19 3495.68 15692.06 1496.01 2198.14 4070.83 20398.96 10796.74 2096.57 9996.76 161
CS-MVS-test91.92 7092.11 6691.37 14694.00 17579.66 18198.39 2794.38 22987.14 9092.87 6497.05 10677.17 11596.97 19891.44 8296.55 10097.47 131
MVS_111021_LR91.60 8091.64 7691.47 14595.74 12278.79 20596.15 18596.77 5488.49 5788.64 12397.07 10572.33 18699.19 8993.13 6696.48 10196.43 169
PAPR92.74 5292.17 6594.45 3198.89 2284.87 6697.20 10496.20 12787.73 7588.40 12698.12 4478.71 9099.76 2487.99 12696.28 10298.74 35
Vis-MVSNetpermissive88.67 13887.82 13691.24 15292.68 20878.82 20296.95 13393.85 25387.55 7887.07 14095.13 15663.43 24497.21 18677.58 21696.15 10397.70 115
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
EPNet94.06 3194.15 2993.76 5397.27 9984.35 7298.29 3097.64 1394.57 495.36 2696.88 11179.96 7599.12 9891.30 8496.11 10497.82 105
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
API-MVS90.18 11088.97 11993.80 5298.66 3282.95 10497.50 8495.63 16075.16 29386.31 14597.69 7172.49 18499.90 581.26 18396.07 10598.56 46
QAPM86.88 17084.51 18993.98 4694.04 17285.89 3897.19 10596.05 13773.62 30475.12 27095.62 13962.02 25499.74 3270.88 27496.06 10696.30 176
131488.94 12987.20 15394.17 4293.21 19485.73 4293.33 26996.64 7682.89 18675.98 25896.36 12366.83 22599.39 6783.52 16996.02 10797.39 136
MS-PatchMatch83.05 23081.82 23086.72 25989.64 27679.10 19794.88 23594.59 21979.70 24370.67 30189.65 23750.43 31696.82 20870.82 27795.99 10884.25 340
CHOSEN 280x42091.71 7691.85 7091.29 15094.94 14782.69 10687.89 32396.17 13085.94 10687.27 13894.31 17290.27 895.65 25894.04 5095.86 10995.53 191
OpenMVScopyleft79.58 1486.09 18383.62 20493.50 6890.95 25386.71 3097.44 8795.83 14975.35 29072.64 28995.72 13457.42 28899.64 4671.41 26895.85 11094.13 214
PVSNet_Blended93.13 4392.98 4793.57 6497.47 8783.86 8199.32 196.73 6091.02 2489.53 11296.21 12576.42 12699.57 5394.29 4795.81 11197.29 142
CHOSEN 1792x268891.07 9190.21 9793.64 6095.18 13883.53 8996.26 17996.13 13188.92 4784.90 15693.10 19472.86 18199.62 4988.86 11695.67 11297.79 107
ETV-MVS92.72 5592.87 4992.28 11994.54 15781.89 12597.98 4895.21 18489.77 3893.11 5996.83 11377.23 11497.50 17095.74 2995.38 11397.44 132
abl_689.80 11489.71 11190.07 18396.53 10775.52 27494.48 24095.04 19081.12 21189.22 11597.00 10768.83 21298.96 10789.86 10595.27 11495.73 186
Regformer-393.19 4293.19 4493.19 8098.10 6583.01 10397.08 12196.98 3188.98 4691.35 8697.89 6280.80 6499.23 8092.30 7495.20 11597.32 138
Regformer-493.06 4693.12 4592.89 9498.10 6582.20 11797.08 12196.92 3988.87 4891.23 8897.89 6280.57 6799.19 8992.21 7695.20 11597.29 142
114514_t88.79 13687.57 14492.45 11298.21 6081.74 13296.99 12695.45 16975.16 29382.48 18495.69 13668.59 21498.50 13080.33 18895.18 11797.10 148
CANet_DTU90.98 9290.04 10193.83 5194.76 15286.23 3296.32 17693.12 29093.11 1093.71 5296.82 11563.08 24699.48 6284.29 15295.12 11895.77 185
DP-MVS Recon91.72 7590.85 8594.34 3599.50 185.00 6398.51 2595.96 14180.57 22188.08 13197.63 7776.84 11899.89 785.67 14194.88 11998.13 76
test250690.96 9390.39 9292.65 10593.54 18582.46 11296.37 17197.35 1686.78 9587.55 13495.25 14677.83 10397.50 17084.07 15494.80 12097.98 91
ECVR-MVScopyleft88.35 14887.25 15291.65 13893.54 18579.40 18796.56 15790.78 32486.78 9585.57 15095.25 14657.25 28997.56 16284.73 15094.80 12097.98 91
test111188.11 15387.04 15991.35 14793.15 19778.79 20596.57 15590.78 32486.88 9385.04 15495.20 15057.23 29097.39 17683.88 15694.59 12297.87 100
BH-w/o88.24 15187.47 14890.54 17195.03 14578.54 20997.41 9493.82 25484.08 15678.23 23094.51 17069.34 21197.21 18680.21 19194.58 12395.87 183
MVS_Test90.29 10989.18 11693.62 6295.23 13584.93 6494.41 24394.66 21284.31 15090.37 10191.02 21775.13 15597.82 15383.11 17494.42 12498.12 77
Vis-MVSNet (Re-imp)88.88 13288.87 12388.91 20993.89 17674.43 28496.93 13594.19 23684.39 14783.22 17895.67 13778.24 9694.70 29778.88 20694.40 12597.61 122
UGNet87.73 16086.55 16591.27 15195.16 13979.11 19696.35 17396.23 12488.14 6587.83 13390.48 22550.65 31499.09 10080.13 19294.03 12695.60 189
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
PVSNet82.34 989.02 12787.79 13792.71 10295.49 12981.50 13897.70 6897.29 1787.76 7485.47 15195.12 15756.90 29198.90 11480.33 18894.02 12797.71 114
TSAR-MVS + GP.94.35 2294.50 1993.89 4997.38 9683.04 10298.10 4095.29 18191.57 1693.81 5197.45 8486.64 2499.43 6596.28 2194.01 12899.20 22
PVSNet_Blended_VisFu91.24 8890.77 8792.66 10495.09 14082.40 11397.77 6095.87 14888.26 6386.39 14493.94 18376.77 12099.27 7788.80 11894.00 12996.31 175
PMMVS89.46 12089.92 10588.06 22994.64 15369.57 32696.22 18194.95 19487.27 8491.37 8596.54 12265.88 22997.39 17688.54 11993.89 13097.23 144
BH-untuned86.95 16885.94 17089.99 18694.52 15877.46 24396.78 14393.37 28081.80 20476.62 24693.81 18766.64 22697.02 19576.06 23393.88 13195.48 192
BH-RMVSNet86.84 17185.28 17791.49 14495.35 13380.26 16796.95 13392.21 30182.86 18881.77 19895.46 14359.34 27197.64 15869.79 27993.81 13296.57 166
Effi-MVS+90.70 9889.90 10693.09 8493.61 18283.48 9095.20 22392.79 29583.22 17791.82 7595.70 13571.82 19197.48 17291.25 8593.67 13398.32 58
IS-MVSNet88.67 13888.16 13190.20 18193.61 18276.86 25396.77 14593.07 29184.02 15883.62 17495.60 14074.69 16396.24 22978.43 20993.66 13497.49 130
AdaColmapbinary88.81 13487.61 14392.39 11599.33 479.95 17296.70 15195.58 16177.51 27583.05 18196.69 12061.90 25899.72 3584.29 15293.47 13597.50 129
xiu_mvs_v1_base_debu90.54 10289.54 11293.55 6592.31 21687.58 2296.99 12694.87 19887.23 8593.27 5597.56 7957.43 28598.32 13692.72 6993.46 13694.74 204
xiu_mvs_v1_base90.54 10289.54 11293.55 6592.31 21687.58 2296.99 12694.87 19887.23 8593.27 5597.56 7957.43 28598.32 13692.72 6993.46 13694.74 204
xiu_mvs_v1_base_debi90.54 10289.54 11293.55 6592.31 21687.58 2296.99 12694.87 19887.23 8593.27 5597.56 7957.43 28598.32 13692.72 6993.46 13694.74 204
mvs_anonymous88.68 13787.62 14291.86 13294.80 15181.69 13593.53 26594.92 19582.03 20178.87 22490.43 22875.77 13795.34 27285.04 14793.16 13998.55 48
LCM-MVSNet-Re83.75 21883.54 20684.39 29493.54 18564.14 34292.51 28584.03 35883.90 16466.14 32386.59 28067.36 22092.68 32384.89 14992.87 14096.35 171
casdiffmvs90.95 9490.39 9292.63 10792.82 20782.53 10996.83 13994.47 22487.69 7688.47 12495.56 14174.04 16997.54 16790.90 9092.74 14197.83 104
TAPA-MVS81.61 1285.02 19883.67 20189.06 20596.79 10473.27 29495.92 19594.79 20674.81 29680.47 20896.83 11371.07 19998.19 14249.82 35392.57 14295.71 187
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
diffmvs91.17 9090.74 8892.44 11393.11 20182.50 11196.25 18093.62 26787.79 7390.40 10095.93 13073.44 17797.42 17493.62 5492.55 14397.41 134
EPMVS87.47 16385.90 17192.18 12295.41 13182.26 11687.00 32996.28 12185.88 10884.23 16485.57 29775.07 15796.26 22771.14 27392.50 14498.03 83
LS3D82.22 24579.94 25789.06 20597.43 9074.06 28893.20 27692.05 30361.90 34673.33 28295.21 14959.35 27099.21 8454.54 34192.48 14593.90 218
ACMMPcopyleft90.39 10689.97 10291.64 13997.58 8478.21 22396.78 14396.72 6284.73 13684.72 15997.23 9771.22 19799.63 4888.37 12492.41 14697.08 149
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
TESTMET0.1,189.83 11389.34 11591.31 14892.54 21480.19 16997.11 11596.57 8586.15 10086.85 14391.83 20879.32 7896.95 19981.30 18292.35 14796.77 160
PLCcopyleft83.97 788.00 15687.38 15089.83 19498.02 6976.46 25897.16 11094.43 22779.26 25381.98 19496.28 12469.36 21099.27 7777.71 21492.25 14893.77 219
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
baseline90.76 9790.10 10092.74 10092.90 20682.56 10894.60 23994.56 22087.69 7689.06 11995.67 13773.76 17297.51 16990.43 9992.23 14998.16 72
PatchMatch-RL85.00 19983.66 20289.02 20795.86 12074.55 28292.49 28693.60 26879.30 25179.29 22191.47 20958.53 27798.45 13370.22 27892.17 15094.07 215
test-LLR88.48 14387.98 13389.98 18792.26 22177.23 24897.11 11595.96 14183.76 16886.30 14691.38 21172.30 18796.78 21180.82 18491.92 15195.94 181
test-mter88.95 12888.60 12589.98 18792.26 22177.23 24897.11 11595.96 14185.32 12086.30 14691.38 21176.37 12896.78 21180.82 18491.92 15195.94 181
Fast-Effi-MVS+87.93 15886.94 16290.92 16094.04 17279.16 19498.26 3193.72 26381.29 20983.94 17092.90 19569.83 20996.68 21476.70 22591.74 15396.93 152
UA-Net88.92 13088.48 12790.24 17994.06 17177.18 25093.04 27894.66 21287.39 8191.09 9093.89 18474.92 15898.18 14375.83 23691.43 15495.35 195
PatchmatchNetpermissive86.83 17285.12 18291.95 12994.12 16982.27 11586.55 33395.64 15984.59 14282.98 18284.99 30977.26 11095.96 23968.61 28591.34 15597.64 119
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PCF-MVS84.09 586.77 17585.00 18492.08 12492.06 23383.07 10192.14 29094.47 22479.63 24476.90 24294.78 16471.15 19899.20 8872.87 25991.05 15693.98 216
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
EI-MVSNet-Vis-set91.84 7291.77 7392.04 12797.60 8281.17 14296.61 15396.87 4188.20 6489.19 11697.55 8278.69 9199.14 9590.29 10290.94 15795.80 184
CNLPA86.96 16785.37 17691.72 13797.59 8379.34 19097.21 10291.05 31974.22 30078.90 22296.75 11867.21 22298.95 11074.68 24590.77 15896.88 156
mvs-test186.83 17287.17 15485.81 27091.96 23665.24 33997.90 5393.34 28185.57 11384.51 16395.14 15561.99 25597.19 18883.55 16590.55 15995.00 199
CVMVSNet84.83 20185.57 17282.63 31291.55 24460.38 35395.13 22695.03 19180.60 22082.10 19394.71 16566.40 22890.19 34874.30 25090.32 16097.31 140
EPNet_dtu87.65 16187.89 13486.93 25494.57 15571.37 31396.72 14796.50 9688.56 5687.12 13995.02 16075.91 13694.01 30966.62 29290.00 16195.42 193
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
baseline290.39 10690.21 9790.93 15990.86 25680.99 14795.20 22397.41 1586.03 10580.07 21694.61 16790.58 697.47 17387.29 13189.86 16294.35 210
LFMVS89.27 12487.64 14094.16 4497.16 10085.52 4797.18 10694.66 21279.17 25489.63 11096.57 12155.35 30298.22 14089.52 11289.54 16398.74 35
EI-MVSNet-UG-set91.35 8691.22 8091.73 13697.39 9380.68 15596.47 16196.83 4487.92 6988.30 12997.36 9177.84 10299.13 9789.43 11389.45 16495.37 194
GeoE86.36 17985.20 17889.83 19493.17 19676.13 26397.53 8092.11 30279.58 24580.99 20294.01 18166.60 22796.17 23173.48 25789.30 16597.20 146
sss90.87 9689.96 10393.60 6394.15 16883.84 8397.14 11298.13 785.93 10789.68 10896.09 12871.67 19299.30 7687.69 12789.16 16697.66 117
HY-MVS84.06 691.63 7890.37 9495.39 1696.12 11488.25 1490.22 30697.58 1488.33 6290.50 9891.96 20479.26 8199.06 10190.29 10289.07 16798.88 31
thisisatest051590.95 9490.26 9593.01 8894.03 17484.27 7697.91 5196.67 6983.18 17886.87 14295.51 14288.66 1597.85 15280.46 18789.01 16896.92 154
CDS-MVSNet89.50 11988.96 12091.14 15591.94 23980.93 14997.09 11995.81 15084.26 15384.72 15994.20 17780.31 6995.64 25983.37 17088.96 16996.85 157
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
VNet92.11 6791.22 8094.79 2496.91 10386.98 2697.91 5197.96 986.38 9893.65 5395.74 13370.16 20898.95 11093.39 5788.87 17098.43 53
alignmvs92.97 4892.26 6295.12 1895.54 12887.77 1998.67 1996.38 11388.04 6793.01 6197.45 8479.20 8398.60 12593.25 6288.76 17198.99 29
WTY-MVS92.65 5991.68 7495.56 1396.00 11788.90 1298.23 3297.65 1288.57 5589.82 10697.22 9879.29 7999.06 10189.57 11088.73 17298.73 39
DWT-MVSNet_test90.52 10589.80 10992.70 10395.73 12482.20 11793.69 26096.55 8988.34 6187.04 14195.34 14586.53 2597.55 16476.32 23188.66 17398.34 56
canonicalmvs92.27 6591.22 8095.41 1595.80 12188.31 1397.09 11994.64 21588.49 5792.99 6297.31 9272.68 18398.57 12793.38 5988.58 17499.36 16
test_yl91.46 8290.53 9094.24 3997.41 9185.18 5498.08 4197.72 1080.94 21389.85 10496.14 12675.61 14098.81 11890.42 10088.56 17598.74 35
DCV-MVSNet91.46 8290.53 9094.24 3997.41 9185.18 5498.08 4197.72 1080.94 21389.85 10496.14 12675.61 14098.81 11890.42 10088.56 17598.74 35
HyFIR lowres test89.36 12188.60 12591.63 14194.91 14980.76 15495.60 20995.53 16382.56 19484.03 16691.24 21478.03 9996.81 20987.07 13488.41 17797.32 138
TAMVS88.48 14387.79 13790.56 17091.09 25179.18 19396.45 16495.88 14683.64 17183.12 17993.33 19075.94 13595.74 25482.40 17788.27 17896.75 162
EPP-MVSNet89.76 11589.72 11089.87 19293.78 17876.02 26897.22 10096.51 9479.35 24885.11 15395.01 16184.82 3297.10 19387.46 13088.21 17996.50 167
MVS-HIRNet71.36 31867.00 32284.46 29290.58 26169.74 32479.15 35087.74 34546.09 36261.96 34150.50 36445.14 33295.64 25953.74 34388.11 18088.00 297
TR-MVS86.30 18084.93 18690.42 17394.63 15477.58 24196.57 15593.82 25480.30 23082.42 18695.16 15358.74 27597.55 16474.88 24387.82 18196.13 179
cascas86.50 17784.48 19192.55 11092.64 21285.95 3597.04 12595.07 18975.32 29180.50 20791.02 21754.33 30997.98 14586.79 13687.62 18293.71 220
OMC-MVS88.80 13588.16 13190.72 16695.30 13477.92 23394.81 23694.51 22186.80 9484.97 15596.85 11267.53 21898.60 12585.08 14687.62 18295.63 188
SCA85.63 19083.64 20391.60 14292.30 21981.86 12792.88 28295.56 16284.85 13282.52 18385.12 30758.04 28095.39 26973.89 25387.58 18497.54 124
thisisatest053089.65 11789.02 11891.53 14393.46 19180.78 15396.52 15896.67 6981.69 20683.79 17294.90 16388.85 1497.68 15777.80 21087.49 18596.14 178
VDDNet86.44 17884.51 18992.22 12191.56 24381.83 12897.10 11894.64 21569.50 32987.84 13295.19 15148.01 32397.92 15189.82 10786.92 18696.89 155
VDD-MVS88.28 15087.02 16092.06 12695.09 14080.18 17097.55 7994.45 22683.09 18089.10 11895.92 13247.97 32498.49 13193.08 6786.91 18797.52 128
thres20088.92 13087.65 13992.73 10196.30 10985.62 4597.85 5498.86 184.38 14884.82 15793.99 18275.12 15698.01 14470.86 27586.67 18894.56 209
DP-MVS81.47 25378.28 26791.04 15698.14 6378.48 21095.09 23186.97 34661.14 35171.12 29892.78 19759.59 26799.38 6853.11 34586.61 18995.27 197
F-COLMAP84.50 20883.44 20887.67 23595.22 13672.22 29995.95 19393.78 25975.74 28876.30 25295.18 15259.50 26998.45 13372.67 26186.59 19092.35 228
tttt051788.57 14288.19 13089.71 19893.00 20275.99 26995.67 20696.67 6980.78 21681.82 19794.40 17188.97 1397.58 16176.05 23486.31 19195.57 190
CR-MVSNet83.53 22181.36 23790.06 18490.16 26879.75 17779.02 35191.12 31684.24 15482.27 19180.35 33675.45 14593.67 31563.37 31086.25 19296.75 162
RPMNet79.85 26775.92 28591.64 13990.16 26879.75 17779.02 35195.44 17058.43 35982.27 19172.55 35573.03 18098.41 13546.10 35986.25 19296.75 162
thres100view90088.30 14986.95 16192.33 11796.10 11584.90 6597.14 11298.85 282.69 19183.41 17593.66 18875.43 14797.93 14669.04 28186.24 19494.17 211
tfpn200view988.48 14387.15 15592.47 11196.21 11185.30 5297.44 8798.85 283.37 17583.99 16793.82 18575.36 15097.93 14669.04 28186.24 19494.17 211
thres40088.42 14687.15 15592.23 12096.21 11185.30 5297.44 8798.85 283.37 17583.99 16793.82 18575.36 15097.93 14669.04 28186.24 19493.45 224
CostFormer89.08 12688.39 12891.15 15493.13 19979.15 19588.61 31796.11 13383.14 17989.58 11186.93 27583.83 4296.87 20588.22 12585.92 19797.42 133
thres600view788.06 15486.70 16492.15 12396.10 11585.17 5897.14 11298.85 282.70 19083.41 17593.66 18875.43 14797.82 15367.13 29085.88 19893.45 224
Effi-MVS+-dtu84.61 20584.90 18783.72 30191.96 23663.14 34694.95 23393.34 28185.57 11379.79 21787.12 27261.99 25595.61 26283.55 16585.83 19992.41 227
JIA-IIPM79.00 27677.20 27484.40 29389.74 27564.06 34375.30 35895.44 17062.15 34581.90 19559.08 36178.92 8695.59 26366.51 29585.78 20093.54 221
tpm287.35 16486.26 16790.62 16892.93 20578.67 20788.06 32295.99 13979.33 24987.40 13586.43 28680.28 7096.40 22180.23 19085.73 20196.79 158
1112_ss88.60 14187.47 14892.00 12893.21 19480.97 14896.47 16192.46 29983.64 17180.86 20497.30 9480.24 7197.62 15977.60 21585.49 20297.40 135
Test_1112_low_res88.03 15586.73 16391.94 13093.15 19780.88 15096.44 16692.41 30083.59 17480.74 20691.16 21580.18 7297.59 16077.48 21885.40 20397.36 137
GA-MVS85.79 18884.04 19891.02 15889.47 28080.27 16696.90 13694.84 20285.57 11380.88 20389.08 24256.56 29596.47 22077.72 21385.35 20496.34 172
tpmrst88.36 14787.38 15091.31 14894.36 16579.92 17387.32 32795.26 18385.32 12088.34 12786.13 29180.60 6696.70 21383.78 15885.34 20597.30 141
MDTV_nov1_ep1383.69 20094.09 17081.01 14686.78 33196.09 13483.81 16784.75 15884.32 31474.44 16596.54 21763.88 30685.07 206
Fast-Effi-MVS+-dtu83.33 22482.60 22085.50 27689.55 27869.38 32796.09 18991.38 31182.30 19675.96 26091.41 21056.71 29295.58 26475.13 24284.90 20791.54 229
PatchT79.75 26876.85 27888.42 21889.55 27875.49 27577.37 35594.61 21763.07 34282.46 18573.32 35475.52 14493.41 31951.36 34884.43 20896.36 170
XVG-OURS-SEG-HR85.74 18985.16 18187.49 24390.22 26671.45 31291.29 30094.09 24381.37 20883.90 17195.22 14860.30 26497.53 16885.58 14284.42 20993.50 222
tpm cat183.63 22081.38 23690.39 17493.53 19078.19 22585.56 33995.09 18770.78 32378.51 22783.28 32274.80 15997.03 19466.77 29184.05 21095.95 180
DSMNet-mixed73.13 31072.45 30675.19 34077.51 35646.82 36785.09 34082.01 36367.61 33669.27 31081.33 33150.89 31386.28 35854.54 34183.80 21192.46 226
ADS-MVSNet279.57 27077.53 27285.71 27393.78 17872.13 30179.48 34786.11 35173.09 31080.14 21379.99 33962.15 25290.14 34959.49 32283.52 21294.85 201
ADS-MVSNet81.26 25678.36 26689.96 18993.78 17879.78 17579.48 34793.60 26873.09 31080.14 21379.99 33962.15 25295.24 27859.49 32283.52 21294.85 201
XVG-OURS85.18 19684.38 19387.59 23890.42 26471.73 30991.06 30394.07 24482.00 20283.29 17795.08 15956.42 29697.55 16483.70 16383.42 21493.49 223
dp84.30 21282.31 22390.28 17894.24 16777.97 22986.57 33295.53 16379.94 23980.75 20585.16 30571.49 19696.39 22263.73 30783.36 21596.48 168
MSDG80.62 26377.77 27189.14 20493.43 19277.24 24791.89 29390.18 32869.86 32868.02 31291.94 20652.21 31298.84 11659.32 32483.12 21691.35 230
MIMVSNet79.18 27575.99 28488.72 21587.37 30180.66 15679.96 34691.82 30677.38 27774.33 27581.87 32841.78 34390.74 34466.36 29783.10 21794.76 203
HQP3-MVS94.80 20483.01 218
HQP-MVS87.91 15987.55 14588.98 20892.08 23078.48 21097.63 7194.80 20490.52 2882.30 18794.56 16865.40 23397.32 17987.67 12883.01 21891.13 231
plane_prior77.96 23097.52 8390.36 3382.96 220
CLD-MVS87.97 15787.48 14789.44 20092.16 22880.54 16098.14 3594.92 19591.41 1779.43 21995.40 14462.34 24997.27 18490.60 9582.90 22190.50 239
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
HQP_MVS87.50 16287.09 15888.74 21491.86 24077.96 23097.18 10694.69 20889.89 3681.33 19994.15 17864.77 23897.30 18187.08 13282.82 22290.96 233
plane_prior594.69 20897.30 18187.08 13282.82 22290.96 233
OPM-MVS85.84 18685.10 18388.06 22988.34 29177.83 23695.72 20494.20 23587.89 7280.45 20994.05 18058.57 27697.26 18583.88 15682.76 22489.09 270
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
Anonymous20240521184.41 20981.93 22891.85 13496.78 10578.41 21497.44 8791.34 31470.29 32584.06 16594.26 17441.09 34698.96 10779.46 19882.65 22598.17 71
ab-mvs87.08 16684.94 18593.48 7093.34 19383.67 8788.82 31495.70 15581.18 21084.55 16290.14 23462.72 24798.94 11285.49 14382.54 22697.85 102
ET-MVSNet_ETH3D90.01 11289.03 11792.95 9194.38 16486.77 2898.14 3596.31 12089.30 4363.33 33496.72 11990.09 1093.63 31690.70 9482.29 22798.46 51
tpmvs83.04 23180.77 24289.84 19395.43 13077.96 23085.59 33895.32 18075.31 29276.27 25383.70 31973.89 17097.41 17559.53 32181.93 22894.14 213
CMPMVSbinary54.94 2175.71 30074.56 29579.17 32979.69 34955.98 36089.59 30893.30 28360.28 35353.85 35789.07 24347.68 32796.33 22476.55 22681.02 22985.22 333
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
LPG-MVS_test84.20 21383.49 20786.33 26190.88 25473.06 29595.28 21894.13 23982.20 19776.31 25093.20 19154.83 30796.95 19983.72 16180.83 23088.98 276
LGP-MVS_train86.33 26190.88 25473.06 29594.13 23982.20 19776.31 25093.20 19154.83 30796.95 19983.72 16180.83 23088.98 276
ACMM80.70 1383.72 21982.85 21486.31 26491.19 24972.12 30295.88 19894.29 23280.44 22577.02 24091.96 20455.24 30397.14 19279.30 20180.38 23289.67 256
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVS_030478.43 27876.70 27983.60 30388.22 29369.81 32292.91 28195.10 18672.32 31778.71 22580.29 33833.78 35793.37 32068.77 28480.23 23387.63 303
jajsoiax82.12 24681.15 23985.03 28184.19 33470.70 31594.22 25293.95 24783.07 18173.48 27989.75 23649.66 31995.37 27182.24 17979.76 23489.02 274
test_djsdf83.00 23382.45 22284.64 28784.07 33669.78 32394.80 23794.48 22280.74 21775.41 26887.70 26361.32 26195.10 28783.77 15979.76 23489.04 273
ACMP81.66 1184.00 21483.22 21086.33 26191.53 24672.95 29795.91 19793.79 25883.70 17073.79 27792.22 20054.31 31096.89 20383.98 15579.74 23689.16 268
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_BlendedMVS90.05 11189.96 10390.33 17797.47 8783.86 8198.02 4796.73 6087.98 6889.53 11289.61 23876.42 12699.57 5394.29 4779.59 23787.57 306
Patchmatch-test78.25 28074.72 29388.83 21291.20 24874.10 28773.91 36188.70 34259.89 35666.82 31985.12 30778.38 9494.54 30048.84 35579.58 23897.86 101
mvs_tets81.74 24980.71 24484.84 28284.22 33370.29 31893.91 25793.78 25982.77 18973.37 28089.46 24047.36 32895.31 27581.99 18079.55 23988.92 280
FIs86.73 17686.10 16888.61 21690.05 27080.21 16896.14 18696.95 3585.56 11678.37 22992.30 19976.73 12195.28 27679.51 19779.27 24090.35 241
D2MVS82.67 23781.55 23386.04 26887.77 29776.47 25795.21 22296.58 8482.66 19270.26 30485.46 30060.39 26395.80 24876.40 22979.18 24185.83 330
ACMMP++79.05 242
PS-MVSNAJss84.91 20084.30 19486.74 25585.89 31774.40 28594.95 23394.16 23883.93 16376.45 24890.11 23571.04 20095.77 24983.16 17379.02 24390.06 251
FC-MVSNet-test85.96 18485.39 17587.66 23689.38 28278.02 22795.65 20896.87 4185.12 12877.34 23591.94 20676.28 13094.74 29677.09 22078.82 24490.21 245
EG-PatchMatch MVS74.92 30272.02 30783.62 30283.76 33973.28 29393.62 26292.04 30468.57 33158.88 34883.80 31831.87 36195.57 26556.97 33478.67 24582.00 354
EI-MVSNet85.80 18785.20 17887.59 23891.55 24477.41 24495.13 22695.36 17580.43 22780.33 21194.71 16573.72 17395.97 23676.96 22378.64 24689.39 259
MVSTER89.25 12588.92 12290.24 17995.98 11884.66 6996.79 14295.36 17587.19 8880.33 21190.61 22490.02 1195.97 23685.38 14478.64 24690.09 249
anonymousdsp80.98 26079.97 25684.01 29581.73 34370.44 31792.49 28693.58 27077.10 28272.98 28686.31 28857.58 28494.90 29279.32 20078.63 24886.69 318
UniMVSNet_ETH3D80.86 26178.75 26587.22 25086.31 30872.02 30391.95 29193.76 26273.51 30575.06 27190.16 23343.04 34095.66 25676.37 23078.55 24993.98 216
ACMMP++_ref78.45 250
Anonymous2024052983.15 22880.60 24690.80 16395.74 12278.27 21896.81 14194.92 19560.10 35581.89 19692.54 19845.82 33198.82 11779.25 20278.32 25195.31 196
XVG-ACMP-BASELINE79.38 27377.90 27083.81 29784.98 32867.14 33689.03 31393.18 28780.26 23372.87 28788.15 25838.55 34996.26 22776.05 23478.05 25288.02 296
tpm85.55 19184.47 19288.80 21390.19 26775.39 27688.79 31594.69 20884.83 13383.96 16985.21 30378.22 9794.68 29876.32 23178.02 25396.34 172
test0.0.03 182.79 23582.48 22183.74 30086.81 30472.22 29996.52 15895.03 19183.76 16873.00 28593.20 19172.30 18788.88 35164.15 30577.52 25490.12 247
RRT_MVS86.89 16985.96 16989.68 19995.01 14684.13 7796.33 17594.98 19384.20 15580.10 21592.07 20270.52 20495.01 29183.30 17177.14 25589.91 253
RPSCF77.73 28576.63 28081.06 32088.66 28955.76 36287.77 32487.88 34464.82 34174.14 27692.79 19649.22 32096.81 20967.47 28976.88 25690.62 236
LTVRE_ROB73.68 1877.99 28275.74 28684.74 28390.45 26372.02 30386.41 33491.12 31672.57 31566.63 32087.27 26854.95 30696.98 19756.29 33675.98 25785.21 334
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
OpenMVS_ROBcopyleft68.52 2073.02 31169.57 31783.37 30680.54 34771.82 30793.60 26388.22 34362.37 34461.98 34083.15 32335.31 35695.47 26745.08 36075.88 25882.82 346
USDC78.65 27776.25 28285.85 26987.58 29974.60 28189.58 30990.58 32784.05 15763.13 33588.23 25640.69 34896.86 20766.57 29475.81 25986.09 326
COLMAP_ROBcopyleft73.24 1975.74 29973.00 30583.94 29692.38 21569.08 32891.85 29486.93 34761.48 34965.32 32690.27 23042.27 34296.93 20250.91 35075.63 26085.80 331
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
GBi-Net82.42 24180.43 24988.39 22092.66 20981.95 12094.30 24893.38 27779.06 25775.82 26285.66 29356.38 29793.84 31171.23 27075.38 26189.38 261
test182.42 24180.43 24988.39 22092.66 20981.95 12094.30 24893.38 27779.06 25775.82 26285.66 29356.38 29793.84 31171.23 27075.38 26189.38 261
FMVSNet384.71 20382.71 21890.70 16794.55 15687.71 2095.92 19594.67 21181.73 20575.82 26288.08 25966.99 22394.47 30171.23 27075.38 26189.91 253
FMVSNet282.79 23580.44 24889.83 19492.66 20985.43 4895.42 21594.35 23079.06 25774.46 27487.28 26756.38 29794.31 30469.72 28074.68 26489.76 255
ITE_SJBPF82.38 31387.00 30365.59 33889.55 33279.99 23869.37 30991.30 21341.60 34595.33 27362.86 31274.63 26586.24 323
ACMH75.40 1777.99 28274.96 28987.10 25290.67 26076.41 25993.19 27791.64 31072.47 31663.44 33387.61 26543.34 33797.16 18958.34 32673.94 26687.72 300
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
baseline188.85 13387.49 14692.93 9395.21 13786.85 2795.47 21394.61 21787.29 8283.11 18094.99 16280.70 6596.89 20382.28 17873.72 26795.05 198
pmmvs482.54 23980.79 24187.79 23386.11 31380.49 16293.55 26493.18 28777.29 27873.35 28189.40 24165.26 23695.05 29075.32 24073.61 26887.83 299
bset_n11_16_dypcd84.35 21082.83 21688.91 20982.54 34182.07 11994.12 25493.47 27285.39 11978.55 22688.98 24562.23 25095.11 28586.75 13773.42 26989.55 258
AllTest75.92 29773.06 30484.47 29092.18 22667.29 33391.07 30284.43 35667.63 33263.48 33190.18 23138.20 35097.16 18957.04 33273.37 27088.97 278
TestCases84.47 29092.18 22667.29 33384.43 35667.63 33263.48 33190.18 23138.20 35097.16 18957.04 33273.37 27088.97 278
pmmvs581.34 25579.54 25986.73 25885.02 32776.91 25296.22 18191.65 30977.65 27373.55 27888.61 25055.70 30094.43 30274.12 25273.35 27288.86 282
XXY-MVS83.84 21682.00 22789.35 20187.13 30281.38 13995.72 20494.26 23380.15 23475.92 26190.63 22361.96 25796.52 21878.98 20573.28 27390.14 246
FMVSNet179.50 27176.54 28188.39 22088.47 29081.95 12094.30 24893.38 27773.14 30972.04 29485.66 29343.86 33493.84 31165.48 29972.53 27489.38 261
cl2285.11 19784.17 19687.92 23195.06 14478.82 20295.51 21194.22 23479.74 24276.77 24387.92 26175.96 13495.68 25579.93 19572.42 27589.27 265
miper_ehance_all_eth84.57 20683.60 20587.50 24292.64 21278.25 21995.40 21793.47 27279.28 25276.41 24987.64 26476.53 12495.24 27878.58 20772.42 27589.01 275
miper_enhance_ethall85.95 18585.20 17888.19 22894.85 15079.76 17696.00 19094.06 24582.98 18577.74 23388.76 24879.42 7795.46 26880.58 18672.42 27589.36 264
test_040272.68 31269.54 31882.09 31688.67 28871.81 30892.72 28486.77 34861.52 34862.21 33983.91 31743.22 33893.76 31434.60 36472.23 27880.72 356
testgi74.88 30373.40 30379.32 32880.13 34861.75 34993.21 27586.64 34979.49 24766.56 32291.06 21635.51 35588.67 35256.79 33571.25 27987.56 307
nrg03086.79 17485.43 17490.87 16288.76 28585.34 4997.06 12394.33 23184.31 15080.45 20991.98 20372.36 18596.36 22388.48 12271.13 28090.93 235
ACMH+76.62 1677.47 28874.94 29085.05 28091.07 25271.58 31193.26 27490.01 32971.80 31964.76 32888.55 25141.62 34496.48 21962.35 31371.00 28187.09 314
VPA-MVSNet85.32 19483.83 19989.77 19790.25 26582.63 10796.36 17297.07 2683.03 18381.21 20189.02 24461.58 25996.31 22685.02 14870.95 28290.36 240
RRT_test8_iter0587.14 16586.41 16689.32 20294.41 16381.10 14597.06 12395.33 17984.67 13976.27 25390.48 22583.60 4496.33 22485.10 14570.78 28390.53 238
IterMVS80.67 26279.16 26285.20 27989.79 27276.08 26492.97 28091.86 30580.28 23171.20 29785.14 30657.93 28391.34 33872.52 26270.74 28488.18 294
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IterMVS-LS83.93 21582.80 21787.31 24791.46 24777.39 24595.66 20793.43 27580.44 22575.51 26687.26 26973.72 17395.16 28276.99 22170.72 28589.39 259
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IterMVS-SCA-FT80.51 26479.10 26384.73 28489.63 27774.66 28092.98 27991.81 30780.05 23671.06 29985.18 30458.04 28091.40 33772.48 26370.70 28688.12 295
v124081.70 25079.83 25887.30 24885.50 32077.70 24095.48 21293.44 27478.46 26676.53 24786.44 28460.85 26295.84 24571.59 26770.17 28788.35 290
V4283.04 23181.53 23487.57 24086.27 31079.09 19895.87 19994.11 24180.35 22977.22 23886.79 27865.32 23596.02 23477.74 21270.14 28887.61 305
v119282.31 24480.55 24787.60 23785.94 31578.47 21395.85 20193.80 25779.33 24976.97 24186.51 28163.33 24595.87 24473.11 25870.13 28988.46 287
v114482.90 23481.27 23887.78 23486.29 30979.07 19996.14 18693.93 24880.05 23677.38 23486.80 27765.50 23195.93 24275.21 24170.13 28988.33 291
Anonymous2023120675.29 30173.64 30280.22 32480.75 34463.38 34593.36 26890.71 32673.09 31067.12 31583.70 31950.33 31790.85 34353.63 34470.10 29186.44 320
WR-MVS84.32 21182.96 21188.41 21989.38 28280.32 16396.59 15496.25 12383.97 16076.63 24590.36 22967.53 21894.86 29475.82 23770.09 29290.06 251
EU-MVSNet76.92 29376.95 27776.83 33484.10 33554.73 36491.77 29592.71 29672.74 31369.57 30888.69 24958.03 28287.43 35664.91 30270.00 29388.33 291
IB-MVS85.34 488.67 13887.14 15793.26 7693.12 20084.32 7398.76 1797.27 1887.19 8879.36 22090.45 22783.92 4198.53 12984.41 15169.79 29496.93 152
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
v192192082.02 24780.23 25187.41 24485.62 31977.92 23395.79 20393.69 26478.86 26176.67 24486.44 28462.50 24895.83 24672.69 26069.77 29588.47 286
v2v48283.46 22281.86 22988.25 22586.19 31179.65 18296.34 17494.02 24681.56 20777.32 23688.23 25665.62 23096.03 23377.77 21169.72 29689.09 270
v14419282.43 24080.73 24387.54 24185.81 31878.22 22095.98 19193.78 25979.09 25677.11 23986.49 28264.66 24095.91 24374.20 25169.42 29788.49 285
cl____83.27 22582.12 22486.74 25592.20 22475.95 27095.11 22893.27 28478.44 26774.82 27287.02 27474.19 16795.19 28074.67 24669.32 29889.09 270
DIV-MVS_self_test83.27 22582.12 22486.74 25592.19 22575.92 27195.11 22893.26 28578.44 26774.81 27387.08 27374.19 16795.19 28074.66 24769.30 29989.11 269
Anonymous2023121179.72 26977.19 27587.33 24595.59 12777.16 25195.18 22594.18 23759.31 35772.57 29086.20 29047.89 32595.66 25674.53 24969.24 30089.18 267
FMVSNet576.46 29574.16 29983.35 30790.05 27076.17 26289.58 30989.85 33071.39 32265.29 32780.42 33550.61 31587.70 35561.05 31969.24 30086.18 324
c3_l83.80 21782.65 21987.25 24992.10 22977.74 23995.25 22193.04 29278.58 26476.01 25787.21 27175.25 15495.11 28577.54 21768.89 30288.91 281
TinyColmap72.41 31368.99 32082.68 31188.11 29469.59 32588.41 31885.20 35365.55 33857.91 35184.82 31130.80 36395.94 24051.38 34768.70 30382.49 351
LF4IMVS72.36 31470.82 31176.95 33379.18 35056.33 35986.12 33586.11 35169.30 33063.06 33686.66 27933.03 35992.25 32865.33 30068.64 30482.28 352
Anonymous2024052172.06 31669.91 31678.50 33077.11 35861.67 35191.62 29990.97 32165.52 33962.37 33879.05 34236.32 35290.96 34257.75 32968.52 30582.87 345
OurMVSNet-221017-077.18 29176.06 28380.55 32383.78 33860.00 35590.35 30591.05 31977.01 28466.62 32187.92 26147.73 32694.03 30871.63 26668.44 30687.62 304
CP-MVSNet81.01 25980.08 25383.79 29887.91 29670.51 31694.29 25195.65 15780.83 21572.54 29188.84 24763.71 24292.32 32768.58 28668.36 30788.55 284
UniMVSNet_NR-MVSNet85.49 19284.59 18888.21 22789.44 28179.36 18896.71 14996.41 10685.22 12478.11 23190.98 21976.97 11795.14 28379.14 20368.30 30890.12 247
DU-MVS84.57 20683.33 20988.28 22388.76 28579.36 18896.43 16895.41 17485.42 11778.11 23190.82 22067.61 21695.14 28379.14 20368.30 30890.33 242
PS-CasMVS80.27 26579.18 26183.52 30587.56 30069.88 32194.08 25595.29 18180.27 23272.08 29388.51 25459.22 27392.23 32967.49 28868.15 31088.45 288
UniMVSNet (Re)85.31 19584.23 19588.55 21789.75 27380.55 15996.72 14796.89 4085.42 11778.40 22888.93 24675.38 14995.52 26678.58 20768.02 31189.57 257
our_test_377.90 28475.37 28885.48 27785.39 32276.74 25593.63 26191.67 30873.39 30865.72 32584.65 31258.20 27993.13 32257.82 32867.87 31286.57 319
tfpnnormal78.14 28175.42 28786.31 26488.33 29279.24 19194.41 24396.22 12573.51 30569.81 30785.52 29955.43 30195.75 25147.65 35767.86 31383.95 343
VPNet84.69 20482.92 21290.01 18589.01 28483.45 9196.71 14995.46 16885.71 11179.65 21892.18 20156.66 29496.01 23583.05 17567.84 31490.56 237
v1081.43 25479.53 26087.11 25186.38 30678.87 20194.31 24793.43 27577.88 27073.24 28385.26 30165.44 23295.75 25172.14 26467.71 31586.72 317
v881.88 24880.06 25587.32 24686.63 30579.04 20094.41 24393.65 26678.77 26273.19 28485.57 29766.87 22495.81 24773.84 25567.61 31687.11 313
test_part184.72 20282.85 21490.34 17695.73 12484.79 6896.75 14694.10 24279.05 26075.97 25989.51 23967.69 21595.94 24079.34 19967.50 31790.30 244
v7n79.32 27477.34 27385.28 27884.05 33772.89 29893.38 26793.87 25275.02 29570.68 30084.37 31359.58 26895.62 26167.60 28767.50 31787.32 312
WR-MVS_H81.02 25880.09 25283.79 29888.08 29571.26 31494.46 24196.54 9080.08 23572.81 28886.82 27670.36 20692.65 32464.18 30467.50 31787.46 310
Patchmtry77.36 28974.59 29485.67 27489.75 27375.75 27377.85 35491.12 31660.28 35371.23 29680.35 33675.45 14593.56 31757.94 32767.34 32087.68 302
eth_miper_zixun_eth83.12 22982.01 22686.47 26091.85 24274.80 27994.33 24693.18 28779.11 25575.74 26587.25 27072.71 18295.32 27476.78 22467.13 32189.27 265
miper_lstm_enhance81.66 25280.66 24584.67 28691.19 24971.97 30591.94 29293.19 28677.86 27172.27 29285.26 30173.46 17693.42 31873.71 25667.05 32288.61 283
v14882.41 24380.89 24086.99 25386.18 31276.81 25496.27 17893.82 25480.49 22475.28 26986.11 29267.32 22195.75 25175.48 23967.03 32388.42 289
NR-MVSNet83.35 22381.52 23588.84 21188.76 28581.31 14194.45 24295.16 18584.65 14067.81 31390.82 22070.36 20694.87 29374.75 24466.89 32490.33 242
Baseline_NR-MVSNet81.22 25780.07 25484.68 28585.32 32575.12 27896.48 16088.80 33976.24 28777.28 23786.40 28767.61 21694.39 30375.73 23866.73 32584.54 337
TranMVSNet+NR-MVSNet83.24 22781.71 23187.83 23287.71 29878.81 20496.13 18894.82 20384.52 14376.18 25690.78 22264.07 24194.60 29974.60 24866.59 32690.09 249
h-mvs3389.30 12388.95 12190.36 17595.07 14276.04 26596.96 13297.11 2490.39 3192.22 7095.10 15874.70 16098.86 11593.14 6465.89 32796.16 177
PEN-MVS79.47 27278.26 26883.08 30886.36 30768.58 32993.85 25894.77 20779.76 24171.37 29588.55 25159.79 26592.46 32564.50 30365.40 32888.19 293
FPMVS55.09 32952.93 33261.57 34855.98 37040.51 37383.11 34383.41 36137.61 36434.95 36571.95 35614.40 37076.95 36429.81 36565.16 32967.25 363
ppachtmachnet_test77.19 29074.22 29886.13 26785.39 32278.22 22093.98 25691.36 31371.74 32067.11 31684.87 31056.67 29393.37 32052.21 34664.59 33086.80 316
AUN-MVS86.25 18285.57 17288.26 22493.57 18473.38 29095.45 21495.88 14683.94 16185.47 15194.21 17673.70 17596.67 21583.54 16764.41 33194.73 207
hse-mvs288.22 15288.21 12988.25 22593.54 18573.41 28995.41 21695.89 14590.39 3192.22 7094.22 17574.70 16096.66 21693.14 6464.37 33294.69 208
pm-mvs180.05 26678.02 26986.15 26685.42 32175.81 27295.11 22892.69 29777.13 28070.36 30387.43 26658.44 27895.27 27771.36 26964.25 33387.36 311
N_pmnet61.30 32760.20 33064.60 34584.32 33217.00 38091.67 29810.98 37961.77 34758.45 35078.55 34349.89 31891.83 33442.27 36263.94 33484.97 335
SixPastTwentyTwo76.04 29674.32 29781.22 31984.54 33061.43 35291.16 30189.30 33577.89 26964.04 33086.31 28848.23 32194.29 30563.54 30963.84 33587.93 298
MIMVSNet169.44 32066.65 32477.84 33176.48 36062.84 34787.42 32688.97 33766.96 33757.75 35379.72 34132.77 36085.83 36046.32 35863.42 33684.85 336
DTE-MVSNet78.37 27977.06 27682.32 31585.22 32667.17 33593.40 26693.66 26578.71 26370.53 30288.29 25559.06 27492.23 32961.38 31763.28 33787.56 307
new_pmnet66.18 32563.18 32875.18 34176.27 36261.74 35083.79 34284.66 35556.64 36051.57 35871.85 35831.29 36287.93 35449.98 35262.55 33875.86 359
test20.0372.36 31471.15 31075.98 33877.79 35459.16 35792.40 28889.35 33474.09 30161.50 34284.32 31448.09 32285.54 36150.63 35162.15 33983.24 344
EGC-MVSNET52.46 33147.56 33467.15 34281.98 34260.11 35482.54 34472.44 3700.11 3760.70 37774.59 34925.11 36583.26 36229.04 36661.51 34058.09 364
pmmvs674.65 30471.67 30883.60 30379.13 35169.94 32093.31 27390.88 32361.05 35265.83 32484.15 31643.43 33694.83 29566.62 29260.63 34186.02 327
MDA-MVSNet_test_wron73.54 30770.43 31482.86 30984.55 32971.85 30691.74 29691.32 31567.63 33246.73 36181.09 33355.11 30490.42 34755.91 33859.76 34286.31 322
YYNet173.53 30870.43 31482.85 31084.52 33171.73 30991.69 29791.37 31267.63 33246.79 36081.21 33255.04 30590.43 34655.93 33759.70 34386.38 321
Patchmatch-RL test76.65 29474.01 30184.55 28977.37 35764.23 34178.49 35382.84 36278.48 26564.63 32973.40 35376.05 13391.70 33676.99 22157.84 34497.72 112
pmmvs-eth3d73.59 30670.66 31282.38 31376.40 36173.38 29089.39 31289.43 33372.69 31460.34 34677.79 34546.43 33091.26 34066.42 29657.06 34582.51 349
PM-MVS69.32 32166.93 32376.49 33573.60 36555.84 36185.91 33679.32 36774.72 29761.09 34378.18 34421.76 36691.10 34170.86 27556.90 34682.51 349
Gipumacopyleft45.11 33442.05 33654.30 35080.69 34551.30 36635.80 36883.81 35928.13 36627.94 36834.53 36811.41 37476.70 36621.45 36854.65 34734.90 368
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MDA-MVSNet-bldmvs71.45 31767.94 32181.98 31785.33 32468.50 33092.35 28988.76 34070.40 32442.99 36281.96 32746.57 32991.31 33948.75 35654.39 34886.11 325
K. test v373.62 30571.59 30979.69 32682.98 34059.85 35690.85 30488.83 33877.13 28058.90 34782.11 32643.62 33591.72 33565.83 29854.10 34987.50 309
CL-MVSNet_self_test75.81 29874.14 30080.83 32278.33 35367.79 33294.22 25293.52 27177.28 27969.82 30681.54 33061.47 26089.22 35057.59 33053.51 35085.48 332
KD-MVS_self_test70.97 31969.31 31975.95 33976.24 36355.39 36387.45 32590.94 32270.20 32662.96 33777.48 34644.01 33388.09 35361.25 31853.26 35184.37 339
TDRefinement69.20 32265.78 32679.48 32766.04 36962.21 34888.21 31986.12 35062.92 34361.03 34485.61 29633.23 35894.16 30655.82 33953.02 35282.08 353
ambc76.02 33768.11 36751.43 36564.97 36489.59 33160.49 34574.49 35017.17 36992.46 32561.50 31652.85 35384.17 341
TransMVSNet (Re)76.94 29274.38 29684.62 28885.92 31675.25 27795.28 21889.18 33673.88 30367.22 31486.46 28359.64 26694.10 30759.24 32552.57 35484.50 338
PMVScopyleft34.80 2339.19 33635.53 33950.18 35129.72 37830.30 37559.60 36666.20 37426.06 36717.91 37149.53 3653.12 37774.09 36818.19 37049.40 35546.14 365
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
lessismore_v079.98 32580.59 34658.34 35880.87 36458.49 34983.46 32143.10 33993.89 31063.11 31148.68 35687.72 300
UnsupCasMVSNet_eth73.25 30970.57 31381.30 31877.53 35566.33 33787.24 32893.89 25180.38 22857.90 35281.59 32942.91 34190.56 34565.18 30148.51 35787.01 315
new-patchmatchnet68.85 32365.93 32577.61 33273.57 36663.94 34490.11 30788.73 34171.62 32155.08 35573.60 35240.84 34787.22 35751.35 34948.49 35881.67 355
pmmvs365.75 32662.18 32976.45 33667.12 36864.54 34088.68 31685.05 35454.77 36157.54 35473.79 35129.40 36486.21 35955.49 34047.77 35978.62 357
test_method56.77 32854.53 33163.49 34776.49 35940.70 37275.68 35774.24 36919.47 37048.73 35971.89 35719.31 36765.80 37057.46 33147.51 36083.97 342
UnsupCasMVSNet_bld68.60 32464.50 32780.92 32174.63 36467.80 33183.97 34192.94 29365.12 34054.63 35668.23 35935.97 35392.17 33160.13 32044.83 36182.78 347
LCM-MVSNet52.52 33048.24 33365.35 34347.63 37541.45 37172.55 36283.62 36031.75 36537.66 36457.92 3629.19 37676.76 36549.26 35444.60 36277.84 358
PVSNet_077.72 1581.70 25078.95 26489.94 19090.77 25976.72 25695.96 19296.95 3585.01 13070.24 30588.53 25352.32 31198.20 14186.68 13844.08 36394.89 200
KD-MVS_2432*160077.63 28674.92 29185.77 27190.86 25679.44 18588.08 32093.92 24976.26 28567.05 31782.78 32472.15 18991.92 33261.53 31441.62 36485.94 328
miper_refine_blended77.63 28674.92 29185.77 27190.86 25679.44 18588.08 32093.92 24976.26 28567.05 31782.78 32472.15 18991.92 33261.53 31441.62 36485.94 328
DeepMVS_CXcopyleft64.06 34678.53 35243.26 37068.11 37369.94 32738.55 36376.14 34818.53 36879.34 36343.72 36141.62 36469.57 362
PMMVS250.90 33246.31 33564.67 34455.53 37146.67 36877.30 35671.02 37140.89 36334.16 36659.32 3609.83 37576.14 36740.09 36328.63 36771.21 360
MVEpermissive35.65 2233.85 33729.49 34246.92 35241.86 37636.28 37450.45 36756.52 37618.75 37118.28 37037.84 3672.41 37858.41 37118.71 36920.62 36846.06 366
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN32.70 33832.39 34033.65 35453.35 37325.70 37774.07 36053.33 37721.08 36817.17 37233.63 37011.85 37354.84 37212.98 37114.04 36920.42 369
ANet_high46.22 33341.28 33861.04 34939.91 37746.25 36970.59 36376.18 36858.87 35823.09 36948.00 36612.58 37266.54 36928.65 36713.62 37070.35 361
tmp_tt41.54 33541.93 33740.38 35320.10 37926.84 37661.93 36559.09 37514.81 37228.51 36780.58 33435.53 35448.33 37463.70 30813.11 37145.96 367
EMVS31.70 33931.45 34132.48 35550.72 37423.95 37874.78 35952.30 37820.36 36916.08 37331.48 37112.80 37153.60 37311.39 37213.10 37219.88 370
wuyk23d14.10 34113.89 34414.72 35655.23 37222.91 37933.83 3693.56 3804.94 3734.11 3742.28 3762.06 37919.66 37510.23 3738.74 3731.59 373
testmvs9.92 34212.94 3450.84 3580.65 3800.29 38293.78 2590.39 3810.42 3742.85 37515.84 3740.17 3810.30 3772.18 3740.21 3741.91 372
test1239.07 34311.73 3461.11 3570.50 3810.77 38189.44 3110.20 3820.34 3752.15 37610.72 3750.34 3800.32 3761.79 3750.08 3752.23 371
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
cdsmvs_eth3d_5k21.43 34028.57 3430.00 3590.00 3820.00 3830.00 37095.93 1440.00 3770.00 37897.66 7263.57 2430.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas5.92 3457.89 3480.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37771.04 2000.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs-re8.11 34410.81 3470.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37897.30 940.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
FOURS198.51 4478.01 22898.13 3896.21 12683.04 18294.39 43
test_one_060198.91 2084.56 7196.70 6488.06 6696.57 1598.77 1288.04 19
eth-test20.00 382
eth-test0.00 382
test_241102_ONE99.03 1685.03 6196.78 4888.72 5197.79 498.90 688.48 1699.82 17
save fliter98.24 5783.34 9398.61 2396.57 8591.32 18
test072699.05 1085.18 5499.11 896.78 4888.75 4997.65 898.91 387.69 21
GSMVS97.54 124
test_part298.90 2185.14 6096.07 20
sam_mvs177.59 10597.54 124
sam_mvs75.35 152
MTGPAbinary96.33 117
test_post185.88 33730.24 37273.77 17195.07 28973.89 253
test_post33.80 36976.17 13195.97 236
patchmatchnet-post77.09 34777.78 10495.39 269
MTMP97.53 8068.16 372
gm-plane-assit92.27 22079.64 18384.47 14695.15 15497.93 14685.81 140
TEST998.64 3583.71 8597.82 5696.65 7384.29 15295.16 2898.09 4684.39 3499.36 74
test_898.63 3783.64 8897.81 5896.63 7884.50 14495.10 3098.11 4584.33 3599.23 80
agg_prior98.59 3983.13 9896.56 8794.19 4599.16 93
test_prior482.34 11497.75 65
test_prior93.09 8498.68 2981.91 12396.40 10999.06 10198.29 63
旧先验296.97 13174.06 30296.10 1997.76 15588.38 123
新几何296.42 169
无先验96.87 13796.78 4877.39 27699.52 5779.95 19398.43 53
原ACMM296.84 138
testdata299.48 6276.45 228
segment_acmp82.69 56
testdata195.57 21087.44 79
plane_prior791.86 24077.55 242
plane_prior691.98 23577.92 23364.77 238
plane_prior494.15 178
plane_prior377.75 23890.17 3481.33 199
plane_prior297.18 10689.89 36
plane_prior191.95 238
n20.00 383
nn0.00 383
door-mid79.75 366
test1196.50 96
door80.13 365
HQP5-MVS78.48 210
HQP-NCC92.08 23097.63 7190.52 2882.30 187
ACMP_Plane92.08 23097.63 7190.52 2882.30 187
BP-MVS87.67 128
HQP4-MVS82.30 18797.32 17991.13 231
HQP2-MVS65.40 233
NP-MVS92.04 23478.22 22094.56 168
MDTV_nov1_ep13_2view81.74 13286.80 33080.65 21985.65 14974.26 16676.52 22796.98 150
Test By Simon71.65 193