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
ETH3 D test640083.28 183.47 182.72 391.48 759.33 692.10 990.95 965.68 6380.67 1894.42 359.41 1095.89 1286.74 389.75 792.94 18
MCST-MVS83.01 283.30 382.15 1192.84 257.58 1693.77 191.10 675.95 377.10 2893.09 2054.15 2895.57 1385.80 485.87 3893.31 11
DVP-MVS++82.44 382.38 582.62 591.77 457.49 1784.98 13788.88 3158.00 19883.60 693.39 1367.21 296.39 481.64 1991.98 493.98 5
DPM-MVS82.39 482.36 682.49 680.12 18959.50 592.24 890.72 1069.37 2383.22 894.47 263.81 593.18 3474.02 7193.25 294.80 1
DELS-MVS82.32 582.50 481.79 1286.80 4756.89 2892.77 286.30 8477.83 177.88 2592.13 3560.24 694.78 2278.97 3189.61 893.69 8
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
MSP-MVS82.30 683.47 178.80 5282.99 12452.71 13285.04 13488.63 4066.08 5886.77 392.75 2472.05 191.46 7083.35 993.53 192.23 34
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
SED-MVS81.92 781.75 882.44 889.48 1956.89 2892.48 388.94 2957.50 21384.61 494.09 458.81 1296.37 682.28 1487.60 1894.06 3
CNVR-MVS81.76 881.90 781.33 1890.04 1157.70 1491.71 1088.87 3370.31 1777.64 2793.87 852.58 3593.91 2884.17 687.92 1692.39 29
DVP-MVScopyleft81.30 981.00 1282.20 989.40 2257.45 1992.34 589.99 1657.71 20781.91 1293.64 1155.17 2196.44 281.68 1687.13 2192.72 24
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
CANet80.90 1081.17 1180.09 3287.62 4054.21 9091.60 1386.47 8073.13 679.89 2193.10 1849.88 5692.98 3584.09 884.75 5193.08 16
patch_mono-280.84 1181.59 978.62 6190.34 1053.77 9788.08 5788.36 4876.17 279.40 2391.09 5755.43 2090.09 10985.01 580.40 8791.99 43
DeepPCF-MVS69.37 180.65 1281.56 1077.94 8485.46 6849.56 20690.99 2086.66 7870.58 1580.07 2095.30 156.18 1890.97 8582.57 1386.22 3693.28 12
HPM-MVS++copyleft80.50 1380.71 1379.88 3487.34 4255.20 6389.93 2987.55 6466.04 6179.46 2293.00 2253.10 3291.76 6380.40 2689.56 992.68 25
CSCG80.41 1479.72 1482.49 689.12 2757.67 1589.29 4191.54 359.19 17271.82 7590.05 9159.72 996.04 1078.37 3688.40 1493.75 7
PS-MVSNAJ80.06 1579.52 1681.68 1485.58 6260.97 391.69 1187.02 6970.62 1480.75 1793.22 1737.77 18692.50 4682.75 1186.25 3591.57 52
xiu_mvs_v2_base79.86 1679.31 1781.53 1585.03 7860.73 491.65 1286.86 7270.30 1880.77 1693.07 2137.63 19192.28 5282.73 1285.71 3991.57 52
DPE-MVScopyleft79.82 1779.66 1580.29 2589.27 2655.08 6888.70 4987.92 5555.55 24281.21 1593.69 1056.51 1794.27 2578.36 3785.70 4091.51 55
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
NCCC79.57 1879.23 1880.59 2189.50 1756.99 2691.38 1588.17 5067.71 3973.81 4892.75 2446.88 7893.28 3278.79 3484.07 5791.50 56
dcpmvs_279.33 1978.94 1980.49 2289.75 1456.54 3484.83 14383.68 15067.85 3669.36 9190.24 8260.20 792.10 5884.14 780.40 8792.82 21
SMA-MVScopyleft79.10 2078.76 2080.12 3084.42 8655.87 4887.58 6986.76 7561.48 13180.26 1993.10 1846.53 8392.41 4979.97 2788.77 1192.08 38
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
ETH3D-3000-0.178.73 2178.71 2178.78 5585.58 6252.40 14088.42 5489.03 2660.01 15276.06 3392.80 2348.34 6292.88 3781.66 1886.48 3391.04 68
LFMVS78.52 2277.14 3882.67 489.58 1558.90 891.27 1888.05 5263.22 10274.63 4090.83 6841.38 15594.40 2375.42 5879.90 9794.72 2
APDe-MVS78.44 2378.20 2479.19 4188.56 2854.55 8589.76 3387.77 5955.91 23778.56 2492.49 2848.20 6492.65 4479.49 2883.04 6190.39 84
MG-MVS78.42 2476.99 4082.73 293.17 164.46 189.93 2988.51 4664.83 7673.52 5288.09 12748.07 6592.19 5462.24 14784.53 5491.53 54
lupinMVS78.38 2578.11 2779.19 4183.02 12255.24 6091.57 1484.82 12269.12 2476.67 3092.02 3944.82 10990.23 10680.83 2480.09 9292.08 38
ETH3D cwj APD-0.1678.36 2678.19 2578.86 5084.21 9252.68 13386.70 9189.02 2759.13 17875.37 3592.49 2849.06 6193.20 3380.67 2587.08 2390.71 77
EPNet78.36 2678.49 2277.97 8285.49 6552.04 14789.36 3884.07 14373.22 577.03 2991.72 4749.32 6090.17 10873.46 7782.77 6291.69 47
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TSAR-MVS + MP.78.31 2878.26 2378.48 6581.33 16656.31 4181.59 22886.41 8169.61 2281.72 1488.16 12655.09 2388.04 17274.12 7086.31 3491.09 67
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
canonicalmvs78.17 2977.86 3079.12 4484.30 8854.22 8987.71 6284.57 13167.70 4077.70 2692.11 3850.90 4789.95 11278.18 4077.54 11493.20 14
alignmvs78.08 3077.98 2878.39 7083.53 10553.22 12089.77 3285.45 9766.11 5676.59 3291.99 4154.07 2989.05 13177.34 4677.00 11992.89 20
DeepC-MVS_fast67.50 378.00 3177.63 3179.13 4388.52 2955.12 6589.95 2885.98 9068.31 2871.33 8192.75 2445.52 9890.37 9971.15 8885.14 4791.91 44
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
VNet77.99 3277.92 2978.19 7587.43 4150.12 19590.93 2191.41 467.48 4275.12 3690.15 8846.77 8091.00 8273.52 7678.46 10893.44 9
TSAR-MVS + GP.77.82 3377.59 3278.49 6485.25 7450.27 19290.02 2690.57 1156.58 23174.26 4591.60 5154.26 2692.16 5575.87 5279.91 9693.05 17
Regformer-177.80 3477.44 3478.88 4887.78 3852.44 13987.60 6490.08 1468.86 2572.49 6791.79 4447.69 7194.90 2073.57 7577.05 11689.31 109
SF-MVS77.64 3577.42 3578.32 7383.75 10252.47 13886.63 9387.80 5658.78 18674.63 4092.38 3047.75 6991.35 7278.18 4086.85 2691.15 65
test_prior377.59 3677.33 3678.39 7086.35 5054.91 7489.04 4385.45 9761.88 12273.55 5091.46 5548.01 6789.70 11874.73 6385.46 4290.55 79
PHI-MVS77.49 3777.00 3978.95 4585.33 7250.69 17588.57 5288.59 4458.14 19573.60 4993.31 1543.14 13293.79 2973.81 7288.53 1392.37 30
WTY-MVS77.47 3877.52 3377.30 9788.33 3246.25 27188.46 5390.32 1271.40 1172.32 7091.72 4753.44 3092.37 5066.28 11775.42 13393.28 12
casdiffmvs77.36 3976.85 4178.88 4880.40 18654.66 8387.06 8285.88 9172.11 971.57 7888.63 12050.89 4990.35 10076.00 5179.11 10391.63 49
xxxxxxxxxxxxxcwj77.31 4076.54 4579.61 3585.35 7056.34 3989.31 3972.84 31461.55 12774.63 4092.38 3047.75 6991.35 7278.18 4086.85 2691.15 65
CS-MVS-test77.20 4177.25 3777.05 10484.60 8349.04 21789.42 3685.83 9365.90 6272.85 6091.98 4245.10 10291.27 7475.02 6284.56 5390.84 74
ETV-MVS77.17 4276.74 4378.48 6581.80 14854.55 8586.13 10285.33 10368.20 3073.10 5690.52 7645.23 10190.66 9279.37 2980.95 7890.22 88
Regformer-277.15 4376.82 4278.14 7687.78 3851.84 15387.60 6489.12 2367.23 4371.93 7491.79 4446.03 8993.53 3172.85 8177.05 11689.05 118
SteuartSystems-ACMMP77.08 4476.33 5079.34 3980.98 17055.31 5889.76 3386.91 7162.94 10671.65 7691.56 5242.33 13992.56 4577.14 4783.69 5990.15 91
Skip Steuart: Steuart Systems R&D Blog.
jason77.01 4576.45 4878.69 5879.69 19454.74 7790.56 2483.99 14668.26 2974.10 4690.91 6542.14 14389.99 11179.30 3079.12 10291.36 60
jason: jason.
testtj76.96 4676.48 4778.40 6989.89 1353.67 10188.72 4886.15 8754.56 25574.86 3892.31 3344.38 11491.97 6175.19 6082.24 6889.54 105
train_agg76.91 4776.40 4978.45 6785.68 5755.42 5487.59 6784.00 14457.84 20472.99 5790.98 6144.99 10488.58 14978.19 3885.32 4591.34 62
MVS76.91 4775.48 5881.23 1984.56 8455.21 6280.23 25191.64 258.65 18865.37 13091.48 5445.72 9595.05 1772.11 8589.52 1093.44 9
DeepC-MVS67.15 476.90 4976.27 5178.80 5280.70 17955.02 6986.39 9686.71 7666.96 4667.91 10389.97 9348.03 6691.41 7175.60 5584.14 5689.96 96
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
baseline76.86 5076.24 5278.71 5780.47 18554.20 9283.90 16884.88 12171.38 1271.51 7989.15 10950.51 5090.55 9675.71 5378.65 10691.39 58
CS-MVS76.77 5176.70 4476.99 10983.55 10448.75 22688.60 5185.18 11166.38 5172.47 6891.62 5045.53 9790.99 8474.48 6682.51 6491.23 63
PAPM76.76 5276.07 5478.81 5180.20 18759.11 786.86 8986.23 8568.60 2670.18 9088.84 11451.57 4187.16 19465.48 12486.68 3090.15 91
MAR-MVS76.76 5275.60 5780.21 2790.87 854.68 8189.14 4289.11 2462.95 10570.54 8892.33 3241.05 15694.95 1857.90 19286.55 3291.00 70
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
agg_prior176.68 5476.24 5278.00 8085.64 6054.92 7287.55 7083.61 15457.99 20072.53 6591.05 5845.36 9988.10 16977.76 4484.68 5290.99 71
PVSNet_Blended76.53 5576.54 4576.50 11885.91 5451.83 15488.89 4684.24 14067.82 3769.09 9489.33 10646.70 8188.13 16775.43 5681.48 7789.55 104
ACMMP_NAP76.43 5675.66 5678.73 5681.92 14654.67 8284.06 16385.35 10261.10 13672.99 5791.50 5340.25 16491.00 8276.84 4886.98 2490.51 83
MVS_111021_HR76.39 5775.38 6179.42 3885.33 7256.47 3688.15 5684.97 11865.15 7466.06 12189.88 9443.79 12092.16 5575.03 6180.03 9589.64 103
CHOSEN 1792x268876.24 5874.03 7882.88 183.09 11862.84 285.73 11385.39 10069.79 2064.87 13883.49 18641.52 15493.69 3070.55 9081.82 7392.12 37
SD-MVS76.18 5974.85 6980.18 2885.39 6956.90 2785.75 11182.45 17556.79 22674.48 4491.81 4343.72 12390.75 9074.61 6578.65 10692.91 19
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
APD-MVScopyleft76.15 6075.68 5577.54 9188.52 2953.44 11187.26 7985.03 11753.79 25974.91 3791.68 4943.80 11990.31 10274.36 6781.82 7388.87 122
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
VDD-MVS76.08 6174.97 6779.44 3784.27 9153.33 11791.13 1985.88 9165.33 7072.37 6989.34 10432.52 25292.76 4177.90 4375.96 12792.22 36
CDPH-MVS76.05 6275.19 6378.62 6186.51 4954.98 7187.32 7484.59 13058.62 18970.75 8690.85 6743.10 13490.63 9470.50 9184.51 5590.24 87
Regformer-376.02 6375.47 5977.70 8785.49 6551.47 16385.12 13090.19 1368.52 2769.36 9190.66 7046.45 8494.81 2170.25 9373.16 15086.81 165
EIA-MVS75.92 6475.18 6478.13 7785.14 7551.60 15987.17 8085.32 10464.69 7768.56 9790.53 7545.79 9491.58 6667.21 10982.18 7091.20 64
test_yl75.85 6574.83 7078.91 4688.08 3651.94 14991.30 1689.28 2057.91 20171.19 8389.20 10742.03 14692.77 3969.41 9575.07 13892.01 41
DCV-MVSNet75.85 6574.83 7078.91 4688.08 3651.94 14991.30 1689.28 2057.91 20171.19 8389.20 10742.03 14692.77 3969.41 9575.07 13892.01 41
MVS_Test75.85 6574.93 6878.62 6184.08 9455.20 6383.99 16685.17 11268.07 3373.38 5482.76 19650.44 5189.00 13565.90 12080.61 8391.64 48
ZNCC-MVS75.82 6875.02 6678.23 7483.88 10053.80 9686.91 8886.05 8959.71 15767.85 10490.55 7442.23 14191.02 8172.66 8385.29 4689.87 99
CLD-MVS75.60 6975.39 6076.24 12380.69 18052.40 14090.69 2286.20 8674.40 465.01 13688.93 11142.05 14590.58 9576.57 4973.96 14485.73 184
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MP-MVS-pluss75.54 7075.03 6577.04 10581.37 16552.65 13584.34 15484.46 13261.16 13469.14 9391.76 4639.98 17088.99 13778.19 3884.89 5089.48 107
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DWT-MVSNet_test75.47 7173.87 8080.29 2587.33 4357.05 2582.86 19887.96 5472.59 767.29 10787.79 13251.61 4091.52 6854.75 21472.63 15892.29 33
DROMVSNet75.30 7275.20 6275.62 13780.98 17049.00 21887.43 7184.68 12863.49 9970.97 8590.15 8842.86 13691.14 7974.33 6881.90 7286.71 167
Effi-MVS+75.24 7373.61 8280.16 2981.92 14657.42 2185.21 12476.71 28060.68 14573.32 5589.34 10447.30 7491.63 6568.28 10379.72 9891.42 57
ET-MVSNet_ETH3D75.23 7474.08 7778.67 5984.52 8555.59 5088.92 4589.21 2268.06 3453.13 27890.22 8449.71 5787.62 18572.12 8470.82 17392.82 21
PAPR75.20 7574.13 7678.41 6888.31 3355.10 6784.31 15585.66 9563.76 9267.55 10590.73 6943.48 12889.40 12466.36 11677.03 11890.73 76
baseline275.15 7674.54 7476.98 11081.67 15151.74 15683.84 16991.94 169.97 1958.98 20986.02 15759.73 891.73 6468.37 10270.40 17787.48 149
diffmvs75.11 7774.65 7276.46 12078.52 21953.35 11583.28 18879.94 21270.51 1671.64 7788.72 11546.02 9086.08 22877.52 4575.75 13189.96 96
Regformer-475.06 7874.59 7376.47 11985.49 6550.33 18885.12 13088.61 4266.42 4968.48 9890.66 7044.15 11592.68 4269.24 9773.16 15086.39 173
MP-MVScopyleft74.99 7974.33 7576.95 11182.89 12853.05 12685.63 11583.50 15657.86 20367.25 10890.24 8243.38 12988.85 14376.03 5082.23 6988.96 120
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
GST-MVS74.87 8073.90 7977.77 8583.30 11153.45 11085.75 11185.29 10659.22 17166.50 11689.85 9540.94 15790.76 8970.94 8983.35 6089.10 117
#test#74.86 8173.78 8178.10 7884.30 8853.68 9986.95 8584.36 13459.00 18265.78 12590.56 7240.70 16190.90 8671.48 8680.88 7989.71 100
3Dnovator64.70 674.46 8272.48 9280.41 2482.84 13055.40 5783.08 19288.61 4267.61 4159.85 19388.66 11634.57 23393.97 2658.42 18388.70 1291.85 46
HFP-MVS74.37 8373.13 8678.10 7884.30 8853.68 9985.58 11684.36 13456.82 22465.78 12590.56 7240.70 16190.90 8669.18 9880.88 7989.71 100
VDDNet74.37 8372.13 10181.09 2079.58 19556.52 3590.02 2686.70 7752.61 26871.23 8287.20 14231.75 26293.96 2774.30 6975.77 13092.79 23
MSLP-MVS++74.21 8572.25 9880.11 3181.45 16356.47 3686.32 9879.65 22058.19 19466.36 11792.29 3436.11 21790.66 9267.39 10782.49 6593.18 15
API-MVS74.17 8672.07 10480.49 2290.02 1258.55 987.30 7684.27 13757.51 21265.77 12787.77 13441.61 15295.97 1151.71 23482.63 6386.94 157
zzz-MVS74.15 8773.11 8777.27 9981.54 15853.57 10384.02 16581.31 19259.41 16468.39 9990.96 6336.07 21889.01 13373.80 7382.45 6689.23 111
IB-MVS68.87 274.01 8872.03 10679.94 3383.04 12155.50 5290.24 2588.65 3867.14 4461.38 18081.74 21353.21 3194.28 2460.45 16762.41 23490.03 95
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
h-mvs3373.95 8972.89 8877.15 10380.17 18850.37 18584.68 14783.33 15768.08 3171.97 7288.65 11942.50 13791.15 7878.82 3257.78 27289.91 98
HY-MVS67.03 573.90 9073.14 8476.18 12784.70 8247.36 25575.56 28286.36 8366.27 5370.66 8783.91 17951.05 4589.31 12567.10 11072.61 15991.88 45
CostFormer73.89 9172.30 9778.66 6082.36 14256.58 3175.56 28285.30 10566.06 5970.50 8976.88 26257.02 1589.06 12968.27 10468.74 18790.33 86
test_part173.80 9272.13 10178.79 5485.92 5358.26 1090.60 2386.85 7363.98 8763.95 15381.54 21652.08 3992.24 5364.93 13359.32 25185.87 182
ACMMPR73.76 9372.61 8977.24 10283.92 9852.96 12985.58 11684.29 13656.82 22465.12 13290.45 7737.24 20190.18 10769.18 9880.84 8188.58 130
region2R73.75 9472.55 9177.33 9683.90 9952.98 12885.54 11984.09 14256.83 22365.10 13390.45 7737.34 19990.24 10568.89 10080.83 8288.77 126
CANet_DTU73.71 9573.14 8475.40 14282.61 13850.05 19684.67 14979.36 22869.72 2175.39 3490.03 9229.41 27685.93 23467.99 10579.11 10390.22 88
thisisatest051573.64 9672.20 9977.97 8281.63 15253.01 12786.69 9288.81 3562.53 11164.06 15085.65 16252.15 3892.50 4658.43 18169.84 18088.39 134
MVSFormer73.53 9772.19 10077.57 9083.02 12255.24 6081.63 22581.44 19050.28 28276.67 3090.91 6544.82 10986.11 22260.83 15980.09 9291.36 60
PVSNet_BlendedMVS73.42 9873.30 8373.76 18085.91 5451.83 15486.18 10184.24 14065.40 6769.09 9480.86 22246.70 8188.13 16775.43 5665.92 20781.33 257
PVSNet_Blended_VisFu73.40 9972.44 9376.30 12181.32 16754.70 8085.81 10778.82 23863.70 9364.53 14385.38 16647.11 7787.38 19167.75 10677.55 11386.81 165
MVSTER73.25 10072.33 9576.01 13285.54 6453.76 9883.52 17487.16 6767.06 4563.88 15681.66 21452.77 3390.44 9764.66 13464.69 21283.84 217
EI-MVSNet-Vis-set73.19 10172.60 9074.99 15182.56 13949.80 20282.55 20589.00 2866.17 5565.89 12488.98 11043.83 11892.29 5165.38 13169.01 18582.87 235
PMMVS72.98 10272.05 10575.78 13683.57 10348.60 22984.08 16182.85 17061.62 12668.24 10190.33 8128.35 28087.78 18172.71 8276.69 12190.95 72
XVS72.92 10371.62 10876.81 11383.41 10652.48 13684.88 14183.20 16358.03 19663.91 15489.63 9935.50 22489.78 11565.50 12280.50 8588.16 135
test250672.91 10472.43 9474.32 16480.12 18944.18 29483.19 18984.77 12564.02 8465.97 12287.43 13947.67 7288.72 14459.08 17479.66 9990.08 93
TESTMET0.1,172.86 10572.33 9574.46 15881.98 14550.77 17385.13 12785.47 9666.09 5767.30 10683.69 18437.27 20083.57 26565.06 13278.97 10589.05 118
RRT_test8_iter0572.74 10671.20 11677.36 9587.25 4453.51 10588.68 5089.53 1865.20 7361.32 18181.27 21845.89 9192.48 4865.99 11855.65 29286.10 176
Fast-Effi-MVS+72.73 10771.15 11877.48 9282.75 13354.76 7686.77 9080.64 20263.05 10465.93 12384.01 17744.42 11389.03 13256.45 20576.36 12688.64 128
MTAPA72.73 10771.22 11577.27 9981.54 15853.57 10367.06 32781.31 19259.41 16468.39 9990.96 6336.07 21889.01 13373.80 7382.45 6689.23 111
PGM-MVS72.60 10971.20 11676.80 11582.95 12552.82 13183.07 19382.14 17756.51 23263.18 16389.81 9635.68 22389.76 11767.30 10880.19 9187.83 143
HPM-MVScopyleft72.60 10971.50 11075.89 13482.02 14451.42 16580.70 24583.05 16556.12 23664.03 15189.53 10037.55 19388.37 15770.48 9280.04 9487.88 142
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CP-MVS72.59 11171.46 11176.00 13382.93 12752.32 14486.93 8782.48 17455.15 24663.65 15990.44 8035.03 23088.53 15368.69 10177.83 11287.15 155
baseline172.51 11272.12 10373.69 18385.05 7644.46 28883.51 17886.13 8871.61 1064.64 14087.97 13055.00 2489.48 12359.07 17556.05 28687.13 156
EI-MVSNet-UG-set72.37 11371.73 10774.29 16581.60 15449.29 21281.85 22088.64 3965.29 7265.05 13488.29 12343.18 13091.83 6263.74 13867.97 19281.75 245
MS-PatchMatch72.34 11471.26 11475.61 13882.38 14155.55 5188.00 5889.95 1765.38 6856.51 25480.74 22432.28 25592.89 3657.95 19188.10 1578.39 290
HQP-MVS72.34 11471.44 11275.03 14979.02 20551.56 16088.00 5883.68 15065.45 6464.48 14485.13 16737.35 19788.62 14766.70 11273.12 15284.91 198
mvs_anonymous72.29 11670.74 12076.94 11282.85 12954.72 7978.43 26981.54 18863.77 9161.69 17979.32 23251.11 4485.31 24162.15 14975.79 12990.79 75
3Dnovator+62.71 772.29 11670.50 12377.65 8983.40 10951.29 16987.32 7486.40 8259.01 18158.49 22288.32 12232.40 25391.27 7457.04 20082.15 7190.38 85
nrg03072.27 11871.56 10974.42 16075.93 25750.60 17786.97 8483.21 16262.75 10867.15 10984.38 17350.07 5386.66 20971.19 8762.37 23585.99 177
VPNet72.07 11971.42 11374.04 17178.64 21647.17 25989.91 3187.97 5372.56 864.66 13985.04 16941.83 15088.33 16061.17 15660.97 24186.62 168
DP-MVS Recon71.99 12070.31 12777.01 10790.65 953.44 11189.37 3782.97 16856.33 23463.56 16189.47 10134.02 23792.15 5754.05 21772.41 16085.43 191
QAPM71.88 12169.33 14379.52 3682.20 14354.30 8886.30 9988.77 3656.61 23059.72 19587.48 13733.90 24095.36 1447.48 25981.49 7688.90 121
ECVR-MVScopyleft71.81 12271.00 11974.26 16680.12 18943.49 29984.69 14682.16 17664.02 8464.64 14087.43 13935.04 22989.21 12761.24 15579.66 9990.08 93
PAPM_NR71.80 12369.98 13477.26 10181.54 15853.34 11678.60 26885.25 10953.46 26160.53 19088.66 11645.69 9689.24 12656.49 20279.62 10189.19 114
mPP-MVS71.79 12470.38 12676.04 13182.65 13752.06 14684.45 15181.78 18555.59 24162.05 17789.68 9833.48 24488.28 16465.45 12778.24 11187.77 145
xiu_mvs_v1_base_debu71.60 12570.29 12875.55 13977.26 23853.15 12185.34 12079.37 22555.83 23872.54 6290.19 8522.38 32086.66 20973.28 7876.39 12386.85 161
xiu_mvs_v1_base71.60 12570.29 12875.55 13977.26 23853.15 12185.34 12079.37 22555.83 23872.54 6290.19 8522.38 32086.66 20973.28 7876.39 12386.85 161
xiu_mvs_v1_base_debi71.60 12570.29 12875.55 13977.26 23853.15 12185.34 12079.37 22555.83 23872.54 6290.19 8522.38 32086.66 20973.28 7876.39 12386.85 161
hse-mvs271.44 12870.68 12173.73 18276.34 24847.44 25479.45 26279.47 22468.08 3171.97 7286.01 15942.50 13786.93 20278.82 3253.46 30886.83 164
EPP-MVSNet71.14 12970.07 13374.33 16379.18 20246.52 26583.81 17086.49 7956.32 23557.95 22884.90 17154.23 2789.14 12858.14 18769.65 18287.33 152
VPA-MVSNet71.12 13070.66 12272.49 20778.75 21144.43 29087.64 6390.02 1563.97 8865.02 13581.58 21542.14 14387.42 19063.42 14063.38 22385.63 188
131471.11 13169.41 14076.22 12479.32 19950.49 18080.23 25185.14 11559.44 16358.93 21188.89 11333.83 24289.60 12261.49 15377.42 11588.57 131
test111171.06 13270.42 12572.97 19779.48 19641.49 31784.82 14482.74 17164.20 8262.98 16687.43 13935.20 22787.92 17458.54 18078.42 10989.49 106
tpmrst71.04 13369.77 13674.86 15283.19 11555.86 4975.64 28178.73 24267.88 3564.99 13773.73 28849.96 5579.56 29965.92 11967.85 19489.14 116
MVP-Stereo70.97 13470.44 12472.59 20476.03 25651.36 16685.02 13686.99 7060.31 14956.53 25378.92 23740.11 16890.00 11060.00 17290.01 676.41 312
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
HQP_MVS70.96 13569.91 13574.12 16977.95 22749.57 20485.76 10982.59 17263.60 9662.15 17483.28 19036.04 22088.30 16265.46 12572.34 16184.49 201
SR-MVS70.92 13669.73 13774.50 15783.38 11050.48 18184.27 15679.35 22948.96 29166.57 11590.45 7733.65 24387.11 19566.42 11474.56 14185.91 180
tpm270.82 13768.44 15277.98 8180.78 17756.11 4374.21 29281.28 19560.24 15068.04 10275.27 28052.26 3788.50 15455.82 20868.03 19189.33 108
ACMMPcopyleft70.81 13869.29 14475.39 14381.52 16251.92 15183.43 18183.03 16656.67 22958.80 21688.91 11231.92 26088.58 14965.89 12173.39 14985.67 185
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
OPM-MVS70.75 13969.58 13874.26 16675.55 26251.34 16786.05 10483.29 16161.94 12162.95 16785.77 16134.15 23688.44 15565.44 12871.07 17082.99 232
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ab-mvs70.65 14069.11 14675.29 14580.87 17646.23 27273.48 29685.24 11059.99 15366.65 11180.94 22143.13 13388.69 14563.58 13968.07 19090.95 72
Vis-MVSNetpermissive70.61 14169.34 14274.42 16080.95 17548.49 23486.03 10577.51 26458.74 18765.55 12987.78 13334.37 23485.95 23352.53 23280.61 8388.80 124
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
sss70.49 14270.13 13271.58 23181.59 15539.02 32880.78 24484.71 12759.34 16766.61 11388.09 12737.17 20285.52 23761.82 15271.02 17190.20 90
CDS-MVSNet70.48 14369.43 13973.64 18577.56 23348.83 22583.51 17877.45 26563.27 10162.33 17385.54 16543.85 11783.29 26957.38 19974.00 14388.79 125
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
thisisatest053070.47 14468.56 15076.20 12679.78 19351.52 16283.49 18088.58 4557.62 21058.60 21882.79 19551.03 4691.48 6952.84 22562.36 23685.59 189
XXY-MVS70.18 14569.28 14572.89 20077.64 23142.88 30585.06 13387.50 6562.58 11062.66 17182.34 20643.64 12589.83 11458.42 18363.70 21985.96 179
Anonymous20240521170.11 14667.88 16176.79 11687.20 4547.24 25889.49 3577.38 26754.88 25166.14 11986.84 14820.93 32991.54 6756.45 20571.62 16691.59 50
PCF-MVS61.03 1070.10 14768.40 15375.22 14877.15 24251.99 14879.30 26482.12 17856.47 23361.88 17886.48 15543.98 11687.24 19355.37 20972.79 15786.43 172
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
BH-RMVSNet70.08 14868.01 15876.27 12284.21 9251.22 17187.29 7779.33 23158.96 18463.63 16086.77 14933.29 24690.30 10444.63 27473.96 14487.30 154
1112_ss70.05 14969.37 14172.10 21480.77 17842.78 30685.12 13076.75 27859.69 15861.19 18392.12 3647.48 7383.84 26053.04 22368.21 18989.66 102
BH-w/o70.02 15068.51 15174.56 15682.77 13150.39 18486.60 9478.14 25359.77 15659.65 19685.57 16439.27 17587.30 19249.86 24474.94 14085.99 177
FIs70.00 15170.24 13169.30 26277.93 22938.55 33083.99 16687.72 6166.86 4757.66 23584.17 17652.28 3685.31 24152.72 23168.80 18684.02 208
OpenMVScopyleft61.00 1169.99 15267.55 17177.30 9778.37 22354.07 9484.36 15385.76 9457.22 21756.71 25087.67 13530.79 26992.83 3843.04 28084.06 5885.01 196
GeoE69.96 15367.88 16176.22 12481.11 16951.71 15784.15 15976.74 27959.83 15560.91 18484.38 17341.56 15388.10 16951.67 23570.57 17588.84 123
HyFIR lowres test69.94 15467.58 16877.04 10577.11 24357.29 2281.49 23379.11 23458.27 19358.86 21480.41 22542.33 13986.96 20061.91 15068.68 18886.87 159
114514_t69.87 15567.88 16175.85 13588.38 3152.35 14386.94 8683.68 15053.70 26055.68 26085.60 16330.07 27491.20 7655.84 20771.02 17183.99 210
miper_enhance_ethall69.77 15668.90 14872.38 21078.93 20849.91 19983.29 18778.85 23664.90 7559.37 20279.46 23052.77 3385.16 24763.78 13758.72 25582.08 240
Anonymous2024052969.71 15767.28 17677.00 10883.78 10150.36 18688.87 4785.10 11647.22 29964.03 15183.37 18827.93 28592.10 5857.78 19467.44 19588.53 132
TR-MVS69.71 15767.85 16475.27 14682.94 12648.48 23587.40 7380.86 19957.15 21964.61 14287.08 14532.67 25189.64 12146.38 26671.55 16887.68 147
EI-MVSNet69.70 15968.70 14972.68 20275.00 26848.90 22279.54 25987.16 6761.05 13763.88 15683.74 18245.87 9290.44 9757.42 19864.68 21378.70 283
test-LLR69.65 16069.01 14771.60 22978.67 21348.17 24285.13 12779.72 21759.18 17463.13 16482.58 20136.91 20680.24 29060.56 16375.17 13586.39 173
test117269.64 16168.38 15473.41 19182.77 13148.84 22482.79 20078.34 25147.02 30265.27 13190.07 9031.17 26686.09 22664.51 13573.49 14885.31 192
APD-MVS_3200maxsize69.62 16268.23 15673.80 17981.58 15648.22 24181.91 21879.50 22348.21 29364.24 14989.75 9731.91 26187.55 18763.08 14173.85 14685.64 187
v2v48269.55 16367.64 16775.26 14772.32 29753.83 9584.93 14081.94 18065.37 6960.80 18679.25 23341.62 15188.98 13863.03 14259.51 24882.98 233
TAMVS69.51 16468.16 15773.56 18876.30 25148.71 22882.57 20377.17 27062.10 11761.32 18184.23 17541.90 14883.46 26754.80 21373.09 15488.50 133
PVSNet62.49 869.27 16567.81 16573.64 18584.41 8751.85 15284.63 15077.80 25866.42 4959.80 19484.95 17022.14 32480.44 28855.03 21075.11 13788.62 129
MVS_111021_LR69.07 16667.91 15972.54 20577.27 23749.56 20679.77 25673.96 30459.33 16960.73 18787.82 13130.19 27381.53 27769.94 9472.19 16386.53 169
mvs-test169.04 16767.57 17073.44 19075.17 26351.68 15886.57 9574.48 29862.15 11562.07 17685.79 16030.59 27087.48 18865.40 12965.94 20681.18 261
GA-MVS69.04 16766.70 18676.06 13075.11 26552.36 14283.12 19180.23 20863.32 10060.65 18879.22 23430.98 26888.37 15761.25 15466.41 20187.46 150
cascas69.01 16966.13 19777.66 8879.36 19755.41 5686.99 8383.75 14956.69 22858.92 21281.35 21724.31 31092.10 5853.23 22070.61 17485.46 190
cl2268.85 17067.69 16672.35 21178.07 22649.98 19882.45 20878.48 24862.50 11258.46 22377.95 24349.99 5485.17 24662.55 14458.72 25581.90 242
FMVSNet368.84 17167.40 17473.19 19485.05 7648.53 23285.71 11485.36 10160.90 14157.58 23779.15 23542.16 14286.77 20547.25 26163.40 22084.27 205
UniMVSNet_NR-MVSNet68.82 17268.29 15570.40 24975.71 26042.59 30884.23 15786.78 7466.31 5258.51 21982.45 20351.57 4184.64 25653.11 22155.96 28783.96 214
v114468.81 17366.82 18174.80 15472.34 29653.46 10784.68 14781.77 18664.25 8160.28 19177.91 24440.23 16588.95 13960.37 16859.52 24781.97 241
IS-MVSNet68.80 17467.55 17172.54 20578.50 22043.43 30081.03 23979.35 22959.12 17957.27 24586.71 15046.05 8887.70 18344.32 27575.60 13286.49 170
112168.79 17566.77 18374.82 15383.08 11953.46 10780.23 25171.53 32445.47 31466.31 11887.19 14334.02 23785.13 24852.78 22780.36 8985.87 182
PS-MVSNAJss68.78 17667.17 17873.62 18773.01 28748.33 24084.95 13984.81 12359.30 17058.91 21379.84 22837.77 18688.86 14262.83 14363.12 22983.67 219
thres20068.71 17767.27 17773.02 19584.73 8146.76 26285.03 13587.73 6062.34 11459.87 19283.45 18743.15 13188.32 16131.25 32767.91 19383.98 212
UGNet68.71 17767.11 17973.50 18980.55 18447.61 25184.08 16178.51 24759.45 16265.68 12882.73 19923.78 31285.08 25052.80 22676.40 12287.80 144
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
miper_ehance_all_eth68.70 17967.58 16872.08 21576.91 24449.48 20982.47 20778.45 24962.68 10958.28 22777.88 24550.90 4785.01 25161.91 15058.72 25581.75 245
EPMVS68.45 18065.44 21477.47 9384.91 7956.17 4271.89 31281.91 18361.72 12560.85 18572.49 30236.21 21687.06 19747.32 26071.62 16689.17 115
test-mter68.36 18167.29 17571.60 22978.67 21348.17 24285.13 12779.72 21753.38 26263.13 16482.58 20127.23 29180.24 29060.56 16375.17 13586.39 173
tpm68.36 18167.48 17370.97 24179.93 19251.34 16776.58 27878.75 24167.73 3863.54 16274.86 28248.33 6372.36 34253.93 21863.71 21889.21 113
tttt051768.33 18366.29 19274.46 15878.08 22549.06 21480.88 24289.08 2554.40 25754.75 26480.77 22351.31 4390.33 10149.35 24858.01 26683.99 210
BH-untuned68.28 18466.40 18973.91 17481.62 15350.01 19785.56 11877.39 26657.63 20957.47 24283.69 18436.36 21587.08 19644.81 27373.08 15584.65 200
SR-MVS-dyc-post68.27 18566.87 18072.48 20880.96 17248.14 24481.54 22976.98 27346.42 30762.75 16989.42 10231.17 26686.09 22660.52 16572.06 16483.19 228
v14868.24 18666.35 19073.88 17571.76 30051.47 16384.23 15781.90 18463.69 9458.94 21076.44 26743.72 12387.78 18160.63 16155.86 28982.39 238
AUN-MVS68.20 18766.35 19073.76 18076.37 24747.45 25379.52 26179.52 22260.98 13962.34 17286.02 15736.59 21486.94 20162.32 14653.47 30786.89 158
abl_668.03 18866.15 19673.66 18478.54 21848.48 23579.77 25678.04 25447.39 29863.70 15888.25 12428.21 28189.06 12960.17 17171.25 16983.45 221
c3_l67.97 18966.66 18771.91 22676.20 25349.31 21182.13 21478.00 25661.99 11957.64 23676.94 25949.41 5884.93 25260.62 16257.01 27681.49 249
v119267.96 19065.74 20674.63 15571.79 29953.43 11384.06 16380.99 19863.19 10359.56 19977.46 25137.50 19688.65 14658.20 18658.93 25481.79 244
v14419267.86 19165.76 20574.16 16871.68 30153.09 12484.14 16080.83 20062.85 10759.21 20677.28 25439.30 17488.00 17358.67 17957.88 27081.40 254
HPM-MVS_fast67.86 19166.28 19372.61 20380.67 18148.34 23981.18 23775.95 28850.81 28159.55 20088.05 12927.86 28685.98 23058.83 17773.58 14783.51 220
AdaColmapbinary67.86 19165.48 21175.00 15088.15 3554.99 7086.10 10376.63 28249.30 28857.80 23186.65 15229.39 27788.94 14145.10 27270.21 17881.06 262
UniMVSNet (Re)67.71 19466.80 18270.45 24774.44 27342.93 30482.42 20984.90 12063.69 9459.63 19780.99 22047.18 7585.23 24551.17 23856.75 27883.19 228
V4267.66 19565.60 21073.86 17670.69 31253.63 10281.50 23178.61 24563.85 9059.49 20177.49 25037.98 18387.65 18462.33 14558.43 25980.29 272
WR-MVS67.58 19666.76 18470.04 25675.92 25845.06 28686.23 10085.28 10764.31 8058.50 22181.00 21944.80 11182.00 27649.21 24955.57 29383.06 231
tfpn200view967.57 19766.13 19771.89 22784.05 9545.07 28383.40 18387.71 6260.79 14257.79 23282.76 19643.53 12687.80 17828.80 33366.36 20282.78 236
FMVSNet267.57 19765.79 20472.90 19882.71 13447.97 24985.15 12684.93 11958.55 19056.71 25078.26 24236.72 21186.67 20846.15 26862.94 23184.07 207
FC-MVSNet-test67.49 19967.91 15966.21 29276.06 25433.06 34880.82 24387.18 6664.44 7954.81 26282.87 19350.40 5282.60 27148.05 25666.55 20082.98 233
v192192067.45 20065.23 21874.10 17071.51 30452.90 13083.75 17280.44 20562.48 11359.12 20877.13 25536.98 20487.90 17557.53 19658.14 26481.49 249
cl____67.43 20165.93 20171.95 22376.33 24948.02 24782.58 20279.12 23361.30 13356.72 24976.92 26046.12 8686.44 21657.98 18956.31 28181.38 256
DIV-MVS_self_test67.43 20165.93 20171.94 22476.33 24948.01 24882.57 20379.11 23461.31 13256.73 24876.92 26046.09 8786.43 21757.98 18956.31 28181.39 255
gg-mvs-nofinetune67.43 20164.53 22576.13 12885.95 5247.79 25064.38 33188.28 4939.34 33766.62 11241.27 35958.69 1489.00 13549.64 24686.62 3191.59 50
thres40067.40 20466.13 19771.19 23784.05 9545.07 28383.40 18387.71 6260.79 14257.79 23282.76 19643.53 12687.80 17828.80 33366.36 20280.71 267
UA-Net67.32 20566.23 19470.59 24578.85 20941.23 32073.60 29475.45 29261.54 12966.61 11384.53 17238.73 17986.57 21442.48 28574.24 14283.98 212
v867.25 20664.99 22174.04 17172.89 29053.31 11882.37 21080.11 21061.54 12954.29 26976.02 27642.89 13588.41 15658.43 18156.36 27980.39 271
NR-MVSNet67.25 20665.99 20071.04 24073.27 28543.91 29585.32 12384.75 12666.05 6053.65 27682.11 20945.05 10385.97 23247.55 25856.18 28483.24 226
Test_1112_low_res67.18 20866.23 19470.02 25778.75 21141.02 32183.43 18173.69 30657.29 21658.45 22482.39 20545.30 10080.88 28350.50 24066.26 20588.16 135
CPTT-MVS67.15 20965.84 20371.07 23980.96 17250.32 18981.94 21774.10 30146.18 31057.91 22987.64 13629.57 27581.31 27964.10 13670.18 17981.56 248
GBi-Net67.09 21065.47 21271.96 22082.71 13446.36 26783.52 17483.31 15858.55 19057.58 23776.23 27136.72 21186.20 21847.25 26163.40 22083.32 223
test167.09 21065.47 21271.96 22082.71 13446.36 26783.52 17483.31 15858.55 19057.58 23776.23 27136.72 21186.20 21847.25 26163.40 22083.32 223
PatchmatchNetpermissive67.07 21263.63 23277.40 9483.10 11658.03 1172.11 31077.77 25958.85 18559.37 20270.83 31537.84 18584.93 25242.96 28269.83 18189.26 110
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v124066.99 21364.68 22373.93 17371.38 30752.66 13483.39 18579.98 21161.97 12058.44 22577.11 25635.25 22687.81 17756.46 20458.15 26281.33 257
eth_miper_zixun_eth66.98 21465.28 21772.06 21675.61 26150.40 18381.00 24076.97 27662.00 11856.99 24776.97 25844.84 10885.58 23658.75 17854.42 29980.21 273
TranMVSNet+NR-MVSNet66.94 21565.61 20970.93 24273.45 28243.38 30183.02 19584.25 13865.31 7158.33 22681.90 21239.92 17185.52 23749.43 24754.89 29683.89 216
thres100view90066.87 21665.42 21571.24 23583.29 11243.15 30281.67 22487.78 5759.04 18055.92 25882.18 20843.73 12187.80 17828.80 33366.36 20282.78 236
DU-MVS66.84 21765.74 20670.16 25273.27 28542.59 30881.50 23182.92 16963.53 9858.51 21982.11 20940.75 15884.64 25653.11 22155.96 28783.24 226
IterMVS-LS66.63 21865.36 21670.42 24875.10 26648.90 22281.45 23476.69 28161.05 13755.71 25977.10 25745.86 9383.65 26457.44 19757.88 27078.70 283
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v1066.61 21964.20 22873.83 17872.59 29353.37 11481.88 21979.91 21461.11 13554.09 27175.60 27840.06 16988.26 16556.47 20356.10 28579.86 278
Fast-Effi-MVS+-dtu66.53 22064.10 22973.84 17772.41 29552.30 14584.73 14575.66 28959.51 16156.34 25579.11 23628.11 28385.85 23557.74 19563.29 22483.35 222
thres600view766.46 22165.12 21970.47 24683.41 10643.80 29782.15 21387.78 5759.37 16656.02 25782.21 20743.73 12186.90 20326.51 34464.94 20980.71 267
LPG-MVS_test66.44 22264.58 22472.02 21774.42 27448.60 22983.07 19380.64 20254.69 25353.75 27483.83 18025.73 30186.98 19860.33 16964.71 21080.48 269
tpm cat166.28 22362.78 23476.77 11781.40 16457.14 2470.03 31977.19 26953.00 26558.76 21770.73 31846.17 8586.73 20743.27 27964.46 21486.44 171
EPNet_dtu66.25 22466.71 18564.87 30278.66 21534.12 34382.80 19975.51 29061.75 12464.47 14786.90 14737.06 20372.46 34143.65 27869.63 18388.02 141
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Effi-MVS+-dtu66.24 22564.96 22270.08 25475.17 26349.64 20382.01 21574.48 29862.15 11557.83 23076.08 27530.59 27083.79 26165.40 12960.93 24276.81 305
ACMP61.11 966.24 22564.33 22672.00 21974.89 27049.12 21383.18 19079.83 21555.41 24452.29 28382.68 20025.83 29986.10 22460.89 15863.94 21780.78 265
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Anonymous2023121166.08 22763.67 23173.31 19283.07 12048.75 22686.01 10684.67 12945.27 31556.54 25276.67 26528.06 28488.95 13952.78 22759.95 24482.23 239
OMC-MVS65.97 22865.06 22068.71 27172.97 28842.58 31078.61 26775.35 29354.72 25259.31 20486.25 15633.30 24577.88 31357.99 18867.05 19785.66 186
X-MVStestdata65.85 22962.20 23876.81 11383.41 10652.48 13684.88 14183.20 16358.03 19663.91 1544.82 37535.50 22489.78 11565.50 12280.50 8588.16 135
Vis-MVSNet (Re-imp)65.52 23065.63 20865.17 30077.49 23430.54 35575.49 28577.73 26059.34 16752.26 28586.69 15149.38 5980.53 28737.07 29875.28 13484.42 203
bset_n11_16_dypcd65.51 23163.21 23372.41 20968.84 32150.15 19381.25 23572.40 31659.17 17659.20 20778.66 23925.69 30385.27 24366.80 11156.88 27781.80 243
Baseline_NR-MVSNet65.49 23264.27 22769.13 26374.37 27641.65 31583.39 18578.85 23659.56 16059.62 19876.88 26240.75 15887.44 18949.99 24255.05 29478.28 292
RRT_MVS65.43 23364.01 23069.68 25981.54 15850.15 19382.31 21176.78 27755.25 24560.64 18982.00 21125.18 30579.00 30060.96 15751.45 31479.89 277
FMVSNet164.57 23462.11 23971.96 22077.32 23646.36 26783.52 17483.31 15852.43 27054.42 26776.23 27127.80 28786.20 21842.59 28461.34 24083.32 223
dp64.41 23561.58 24272.90 19882.40 14054.09 9372.53 30276.59 28360.39 14855.68 26070.39 31935.18 22876.90 32139.34 29061.71 23887.73 146
ACMM58.35 1264.35 23662.01 24071.38 23374.21 27748.51 23382.25 21279.66 21947.61 29654.54 26680.11 22625.26 30486.00 22951.26 23663.16 22779.64 279
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
pm-mvs164.12 23762.56 23568.78 26971.68 30138.87 32982.89 19781.57 18755.54 24353.89 27377.82 24637.73 18986.74 20648.46 25453.49 30680.72 266
miper_lstm_enhance63.91 23862.30 23768.75 27075.06 26746.78 26169.02 32381.14 19659.68 15952.76 28072.39 30540.71 16077.99 31156.81 20153.09 30981.48 251
SCA63.84 23960.01 25675.32 14478.58 21757.92 1261.61 33977.53 26356.71 22757.75 23470.77 31631.97 25879.91 29648.80 25056.36 27988.13 138
test_djsdf63.84 23961.56 24370.70 24468.78 32244.69 28781.63 22581.44 19050.28 28252.27 28476.26 27026.72 29486.11 22260.83 15955.84 29081.29 260
IterMVS63.77 24161.67 24170.08 25472.68 29251.24 17080.44 24775.51 29060.51 14751.41 28873.70 29132.08 25778.91 30154.30 21654.35 30080.08 275
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
D2MVS63.49 24261.39 24569.77 25869.29 31948.93 22178.89 26677.71 26160.64 14649.70 29772.10 31027.08 29283.48 26654.48 21562.65 23276.90 304
pmmvs463.34 24361.07 24870.16 25270.14 31450.53 17979.97 25571.41 32655.08 24754.12 27078.58 24032.79 25082.09 27550.33 24157.22 27577.86 296
jajsoiax63.21 24460.84 24970.32 25068.33 32744.45 28981.23 23681.05 19753.37 26350.96 29377.81 24717.49 34285.49 23959.31 17358.05 26581.02 263
MIMVSNet63.12 24560.29 25471.61 22875.92 25846.65 26365.15 32881.94 18059.14 17754.65 26569.47 32225.74 30080.63 28541.03 28769.56 18487.55 148
CL-MVSNet_self_test62.98 24661.14 24768.50 27565.86 33642.96 30384.37 15282.98 16760.98 13953.95 27272.70 30140.43 16383.71 26341.10 28647.93 32278.83 282
mvs_tets62.96 24760.55 25170.19 25168.22 33044.24 29380.90 24180.74 20152.99 26650.82 29577.56 24816.74 34585.44 24059.04 17657.94 26780.89 264
TransMVSNet (Re)62.82 24860.76 25069.02 26473.98 27941.61 31686.36 9779.30 23256.90 22152.53 28176.44 26741.85 14987.60 18638.83 29140.61 34477.86 296
pmmvs562.80 24961.18 24667.66 27969.53 31842.37 31382.65 20175.19 29454.30 25852.03 28678.51 24131.64 26380.67 28448.60 25258.15 26279.95 276
test0.0.03 162.54 25062.44 23662.86 31272.28 29829.51 35782.93 19678.78 23959.18 17453.07 27982.41 20436.91 20677.39 31737.45 29458.96 25381.66 247
UniMVSNet_ETH3D62.51 25160.49 25268.57 27468.30 32840.88 32373.89 29379.93 21351.81 27654.77 26379.61 22924.80 30881.10 28049.93 24361.35 23983.73 218
v7n62.50 25259.27 26172.20 21367.25 33349.83 20177.87 27180.12 20952.50 26948.80 30173.07 29632.10 25687.90 17546.83 26454.92 29578.86 281
CR-MVSNet62.47 25359.04 26372.77 20173.97 28056.57 3260.52 34271.72 32060.04 15157.49 24065.86 33338.94 17680.31 28942.86 28359.93 24581.42 252
tpmvs62.45 25459.42 25971.53 23283.93 9754.32 8770.03 31977.61 26251.91 27353.48 27768.29 32637.91 18486.66 20933.36 31758.27 26073.62 330
EG-PatchMatch MVS62.40 25559.59 25770.81 24373.29 28449.05 21585.81 10784.78 12451.85 27544.19 31973.48 29415.52 35089.85 11340.16 28867.24 19673.54 331
XVG-OURS-SEG-HR62.02 25659.54 25869.46 26165.30 33945.88 27465.06 32973.57 30846.45 30657.42 24383.35 18926.95 29378.09 30753.77 21964.03 21584.42 203
XVG-OURS61.88 25759.34 26069.49 26065.37 33846.27 27064.80 33073.49 30947.04 30157.41 24482.85 19425.15 30678.18 30553.00 22464.98 20884.01 209
TAPA-MVS56.12 1461.82 25860.18 25566.71 28878.48 22137.97 33375.19 28776.41 28546.82 30357.04 24686.52 15427.67 28977.03 31926.50 34567.02 19885.14 194
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
tfpnnormal61.47 25959.09 26268.62 27376.29 25241.69 31481.14 23885.16 11354.48 25651.32 28973.63 29232.32 25486.89 20421.78 35455.71 29177.29 302
PVSNet_057.04 1361.19 26057.24 27173.02 19577.45 23550.31 19079.43 26377.36 26863.96 8947.51 31072.45 30425.03 30783.78 26252.76 23019.22 36784.96 197
PLCcopyleft52.38 1860.89 26158.97 26466.68 29081.77 14945.70 27878.96 26574.04 30343.66 32747.63 30783.19 19223.52 31577.78 31637.47 29360.46 24376.55 311
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CVMVSNet60.85 26260.44 25362.07 31375.00 26832.73 35079.54 25973.49 30936.98 34556.28 25683.74 18229.28 27869.53 35046.48 26563.23 22583.94 215
CNLPA60.59 26358.44 26667.05 28579.21 20147.26 25779.75 25864.34 34442.46 33351.90 28783.94 17827.79 28875.41 32637.12 29659.49 24978.47 287
anonymousdsp60.46 26457.65 26868.88 26563.63 34845.09 28272.93 30078.63 24446.52 30551.12 29072.80 30021.46 32783.07 27057.79 19353.97 30178.47 287
ACMH53.70 1659.78 26555.94 28271.28 23476.59 24648.35 23880.15 25476.11 28649.74 28641.91 33073.45 29516.50 34790.31 10231.42 32557.63 27375.17 320
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
pmmvs659.64 26657.15 27267.09 28366.01 33436.86 33780.50 24678.64 24345.05 31749.05 30073.94 28727.28 29086.10 22443.96 27749.94 31778.31 291
MSDG59.44 26755.14 28772.32 21274.69 27150.71 17474.39 29173.58 30744.44 32143.40 32477.52 24919.45 33390.87 8831.31 32657.49 27475.38 318
RPMNet59.29 26854.25 29174.42 16073.97 28056.57 3260.52 34276.98 27335.72 34957.49 24058.87 35137.73 18985.26 24427.01 34359.93 24581.42 252
DP-MVS59.24 26956.12 28068.63 27288.24 3450.35 18782.51 20664.43 34341.10 33546.70 31378.77 23824.75 30988.57 15222.26 35256.29 28366.96 350
OpenMVS_ROBcopyleft53.19 1759.20 27056.00 28168.83 26771.13 30944.30 29183.64 17375.02 29546.42 30746.48 31573.03 29718.69 33788.14 16627.74 34061.80 23774.05 327
IterMVS-SCA-FT59.12 27158.81 26560.08 32570.68 31345.07 28380.42 24874.25 30043.54 32850.02 29673.73 28831.97 25856.74 36051.06 23953.60 30578.42 289
our_test_359.11 27255.08 28871.18 23871.42 30553.29 11981.96 21674.52 29748.32 29242.08 32869.28 32428.14 28282.15 27334.35 31445.68 33478.11 295
Anonymous2023120659.08 27357.59 26963.55 30768.77 32332.14 35380.26 25079.78 21650.00 28549.39 29872.39 30526.64 29578.36 30433.12 32057.94 26780.14 274
KD-MVS_2432*160059.04 27456.44 27766.86 28679.07 20345.87 27572.13 30880.42 20655.03 24848.15 30371.01 31336.73 20978.05 30935.21 30830.18 36176.67 306
miper_refine_blended59.04 27456.44 27766.86 28679.07 20345.87 27572.13 30880.42 20655.03 24848.15 30371.01 31336.73 20978.05 30935.21 30830.18 36176.67 306
WR-MVS_H58.91 27658.04 26761.54 31869.07 32033.83 34576.91 27581.99 17951.40 27848.17 30274.67 28340.23 16574.15 33031.78 32448.10 32076.64 309
LCM-MVSNet-Re58.82 27756.54 27565.68 29479.31 20029.09 36061.39 34145.79 36260.73 14437.65 34372.47 30331.42 26481.08 28149.66 24570.41 17686.87 159
Patchmatch-RL test58.72 27854.32 29071.92 22563.91 34744.25 29261.73 33855.19 35457.38 21549.31 29954.24 35537.60 19280.89 28262.19 14847.28 32690.63 78
FMVSNet558.61 27956.45 27665.10 30177.20 24139.74 32574.77 28877.12 27150.27 28443.28 32567.71 32826.15 29876.90 32136.78 30154.78 29778.65 285
ppachtmachnet_test58.56 28054.34 28971.24 23571.42 30554.74 7781.84 22172.27 31749.02 29045.86 31868.99 32526.27 29683.30 26830.12 32943.23 33975.69 315
ACMH+54.58 1558.55 28155.24 28468.50 27574.68 27245.80 27780.27 24970.21 33147.15 30042.77 32775.48 27916.73 34685.98 23035.10 31254.78 29773.72 329
CP-MVSNet58.54 28257.57 27061.46 31968.50 32533.96 34476.90 27678.60 24651.67 27747.83 30576.60 26634.99 23172.79 33935.45 30547.58 32377.64 300
PEN-MVS58.35 28357.15 27261.94 31567.55 33234.39 34277.01 27478.35 25051.87 27447.72 30676.73 26433.91 23973.75 33434.03 31547.17 32777.68 298
PS-CasMVS58.12 28457.03 27461.37 32068.24 32933.80 34676.73 27778.01 25551.20 27947.54 30976.20 27432.85 24872.76 34035.17 31047.37 32577.55 301
UnsupCasMVSNet_eth57.56 28555.15 28664.79 30364.57 34533.12 34773.17 29983.87 14858.98 18341.75 33170.03 32022.54 31979.92 29446.12 26935.31 35081.32 259
CHOSEN 280x42057.53 28656.38 27960.97 32374.01 27848.10 24646.30 35654.31 35648.18 29450.88 29477.43 25238.37 18259.16 35954.83 21163.14 22875.66 316
DTE-MVSNet57.03 28755.73 28360.95 32465.94 33532.57 35175.71 28077.09 27251.16 28046.65 31476.34 26932.84 24973.22 33830.94 32844.87 33577.06 303
MVS_030456.72 28855.17 28561.37 32070.71 31036.80 33875.74 27968.75 33544.11 32552.53 28168.20 32715.05 35174.53 32942.98 28158.44 25872.79 336
PatchMatch-RL56.66 28953.75 29465.37 29977.91 23045.28 28169.78 32160.38 34941.35 33447.57 30873.73 28816.83 34476.91 32036.99 29959.21 25273.92 328
PatchT56.60 29052.97 29767.48 28072.94 28946.16 27357.30 34873.78 30538.77 33954.37 26857.26 35437.52 19478.06 30832.02 32252.79 31078.23 294
Patchmtry56.56 29152.95 29867.42 28172.53 29450.59 17859.05 34571.72 32037.86 34346.92 31165.86 33338.94 17680.06 29336.94 30046.72 33171.60 341
test_040256.45 29253.03 29666.69 28976.78 24550.31 19081.76 22269.61 33342.79 33143.88 32072.13 30822.82 31886.46 21516.57 36350.94 31563.31 356
LS3D56.40 29353.82 29364.12 30481.12 16845.69 27973.42 29766.14 33935.30 35343.24 32679.88 22722.18 32379.62 29819.10 36064.00 21667.05 349
ADS-MVSNet56.17 29451.95 30368.84 26680.60 18253.07 12555.03 35070.02 33244.72 31851.00 29161.19 34422.83 31678.88 30228.54 33653.63 30374.57 324
XVG-ACMP-BASELINE56.03 29552.85 29965.58 29561.91 35340.95 32263.36 33272.43 31545.20 31646.02 31674.09 2859.20 36178.12 30645.13 27158.27 26077.66 299
pmmvs-eth3d55.97 29652.78 30065.54 29661.02 35546.44 26675.36 28667.72 33749.61 28743.65 32267.58 32921.63 32677.04 31844.11 27644.33 33673.15 335
F-COLMAP55.96 29753.65 29562.87 31172.76 29142.77 30774.70 29070.37 33040.03 33641.11 33479.36 23117.77 34173.70 33532.80 32153.96 30272.15 337
CMPMVSbinary40.41 2155.34 29852.64 30163.46 30860.88 35643.84 29661.58 34071.06 32730.43 35636.33 34574.63 28424.14 31175.44 32548.05 25666.62 19971.12 344
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test20.0355.22 29954.07 29258.68 32963.14 35025.00 36477.69 27274.78 29652.64 26743.43 32372.39 30526.21 29774.76 32829.31 33147.05 32976.28 313
ADS-MVSNet255.21 30051.44 30466.51 29180.60 18249.56 20655.03 35065.44 34044.72 31851.00 29161.19 34422.83 31675.41 32628.54 33653.63 30374.57 324
SixPastTwentyTwo54.37 30150.10 30867.21 28270.70 31141.46 31874.73 28964.69 34247.56 29739.12 33969.49 32118.49 33984.69 25531.87 32334.20 35675.48 317
USDC54.36 30251.23 30563.76 30664.29 34637.71 33462.84 33773.48 31156.85 22235.47 34871.94 3119.23 36078.43 30338.43 29248.57 31975.13 321
testgi54.25 30352.57 30259.29 32762.76 35121.65 36972.21 30770.47 32953.25 26441.94 32977.33 25314.28 35277.95 31229.18 33251.72 31378.28 292
K. test v354.04 30449.42 31267.92 27868.55 32442.57 31175.51 28463.07 34652.07 27139.21 33864.59 33719.34 33482.21 27237.11 29725.31 36378.97 280
UnsupCasMVSNet_bld53.86 30550.53 30763.84 30563.52 34934.75 34171.38 31381.92 18246.53 30438.95 34057.93 35220.55 33080.20 29239.91 28934.09 35776.57 310
YYNet153.82 30649.96 30965.41 29870.09 31648.95 21972.30 30571.66 32244.25 32331.89 35763.07 34123.73 31373.95 33233.26 31839.40 34673.34 332
MDA-MVSNet_test_wron53.82 30649.95 31065.43 29770.13 31549.05 21572.30 30571.65 32344.23 32431.85 35863.13 34023.68 31474.01 33133.25 31939.35 34773.23 334
Patchmatch-test53.33 30848.17 31568.81 26873.31 28342.38 31242.98 35958.23 35132.53 35438.79 34170.77 31639.66 17273.51 33625.18 34752.06 31290.55 79
LTVRE_ROB45.45 1952.73 30949.74 31161.69 31769.78 31734.99 34044.52 35767.60 33843.11 33043.79 32174.03 28618.54 33881.45 27828.39 33857.94 26768.62 347
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
EU-MVSNet52.63 31050.72 30658.37 33062.69 35228.13 36272.60 30175.97 28730.94 35540.76 33672.11 30920.16 33170.80 34635.11 31146.11 33276.19 314
OurMVSNet-221017-052.39 31148.73 31363.35 30965.21 34038.42 33168.54 32564.95 34138.19 34039.57 33771.43 31213.23 35479.92 29437.16 29540.32 34571.72 340
JIA-IIPM52.33 31247.77 31866.03 29371.20 30846.92 26040.00 36376.48 28437.10 34446.73 31237.02 36132.96 24777.88 31335.97 30352.45 31173.29 333
Anonymous2024052151.65 31348.42 31461.34 32256.43 36139.65 32773.57 29573.47 31236.64 34736.59 34463.98 33810.75 35772.25 34335.35 30649.01 31872.11 338
MDA-MVSNet-bldmvs51.56 31447.75 31963.00 31071.60 30347.32 25669.70 32272.12 31843.81 32627.65 36263.38 33921.97 32575.96 32327.30 34232.19 35865.70 353
COLMAP_ROBcopyleft43.60 2050.90 31548.05 31659.47 32667.81 33140.57 32471.25 31462.72 34836.49 34836.19 34673.51 29313.48 35373.92 33320.71 35650.26 31663.92 355
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
MIMVSNet150.35 31647.81 31757.96 33161.53 35427.80 36367.40 32674.06 30243.25 32933.31 35665.38 33616.03 34871.34 34421.80 35347.55 32474.75 322
KD-MVS_self_test49.24 31746.85 32056.44 33354.32 36222.87 36657.39 34773.36 31344.36 32237.98 34259.30 35018.97 33671.17 34533.48 31642.44 34075.26 319
MVS-HIRNet49.01 31844.71 32261.92 31676.06 25446.61 26463.23 33454.90 35524.77 36033.56 35336.60 36321.28 32875.88 32429.49 33062.54 23363.26 357
new-patchmatchnet48.21 31946.55 32153.18 33757.73 35918.19 37370.24 31771.02 32845.70 31133.70 35260.23 34618.00 34069.86 34927.97 33934.35 35471.49 343
TinyColmap48.15 32044.49 32459.13 32865.73 33738.04 33263.34 33362.86 34738.78 33829.48 36067.23 3316.46 36773.30 33724.59 34841.90 34266.04 351
AllTest47.32 32144.66 32355.32 33565.08 34137.50 33562.96 33654.25 35735.45 35133.42 35472.82 2989.98 35859.33 35724.13 34943.84 33769.13 345
PM-MVS46.92 32243.76 32656.41 33452.18 36432.26 35263.21 33538.18 36837.99 34240.78 33566.20 3325.09 37065.42 35348.19 25541.99 34171.54 342
RPSCF45.77 32344.13 32550.68 33957.67 36029.66 35654.92 35245.25 36426.69 35945.92 31775.92 27717.43 34345.70 36827.44 34145.95 33376.67 306
pmmvs345.53 32441.55 32757.44 33248.97 36739.68 32670.06 31857.66 35228.32 35834.06 35157.29 3538.50 36266.85 35234.86 31334.26 35565.80 352
N_pmnet41.25 32539.77 32845.66 34368.50 3250.82 38272.51 3030.38 38235.61 35035.26 34961.51 34320.07 33267.74 35123.51 35140.63 34368.42 348
TDRefinement40.91 32638.37 32948.55 34150.45 36533.03 34958.98 34650.97 36028.50 35729.89 35967.39 3306.21 36954.51 36117.67 36235.25 35158.11 358
DSMNet-mixed38.35 32735.36 33047.33 34248.11 36814.91 37537.87 36436.60 37019.18 36434.37 35059.56 34915.53 34953.01 36320.14 35846.89 33074.07 326
FPMVS35.40 32833.67 33140.57 34646.34 36928.74 36141.05 36157.05 35320.37 36322.27 36453.38 3576.87 36544.94 3698.62 36847.11 32848.01 363
ANet_high34.39 32929.59 33548.78 34030.34 37522.28 36755.53 34963.79 34538.11 34115.47 36636.56 3646.94 36459.98 35613.93 3655.64 37564.08 354
EGC-MVSNET33.75 33030.42 33443.75 34464.94 34336.21 33960.47 34440.70 3670.02 3760.10 37753.79 3567.39 36360.26 35511.09 36735.23 35234.79 365
new_pmnet33.56 33131.89 33338.59 34749.01 36620.42 37051.01 35337.92 36920.58 36123.45 36346.79 3586.66 36649.28 36620.00 35931.57 36046.09 364
LF4IMVS33.04 33232.55 33234.52 35040.96 37022.03 36844.45 35835.62 37120.42 36228.12 36162.35 3425.03 37131.88 37421.61 35534.42 35349.63 362
LCM-MVSNet28.07 33323.85 33840.71 34527.46 37818.93 37230.82 36646.19 36112.76 36816.40 36534.70 3661.90 37748.69 36720.25 35724.22 36454.51 360
Gipumacopyleft27.47 33424.26 33737.12 34960.55 35729.17 35911.68 37060.00 35014.18 36710.52 37115.12 3722.20 37663.01 3548.39 36935.65 34919.18 368
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMMVS226.71 33522.98 33937.87 34836.89 3728.51 37942.51 36029.32 37619.09 36513.01 36837.54 3602.23 37553.11 36214.54 36411.71 36851.99 361
PMVScopyleft19.57 2225.07 33622.43 34032.99 35223.12 37922.98 36540.98 36235.19 37215.99 36611.95 37035.87 3651.47 37949.29 3655.41 37331.90 35926.70 367
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test_method24.09 33721.07 34133.16 35127.67 3778.35 38026.63 36735.11 3733.40 37314.35 36736.98 3623.46 37435.31 37319.08 36122.95 36555.81 359
E-PMN19.16 33818.40 34221.44 35436.19 37313.63 37647.59 35430.89 37410.73 3695.91 37416.59 3703.66 37339.77 3705.95 3728.14 37010.92 370
EMVS18.42 33917.66 34320.71 35534.13 37412.64 37746.94 35529.94 37510.46 3715.58 37514.93 3734.23 37238.83 3715.24 3747.51 37210.67 371
cdsmvs_eth3d_5k18.33 34024.44 3360.00 3610.00 3830.00 3840.00 37289.40 190.00 3770.00 38092.02 3938.55 1800.00 3780.00 3780.00 3760.00 376
MVEpermissive16.60 2317.34 34113.39 34429.16 35328.43 37619.72 37113.73 36923.63 3777.23 3727.96 37221.41 3680.80 38036.08 3726.97 37010.39 36931.69 366
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tmp_tt9.44 34210.68 3455.73 3582.49 3814.21 38110.48 37118.04 3780.34 37512.59 36920.49 36911.39 3557.03 37713.84 3666.46 3745.95 372
wuyk23d9.11 3438.77 34710.15 35740.18 37116.76 37420.28 3681.01 3812.58 3742.66 3760.98 3760.23 38112.49 3764.08 3756.90 3731.19 373
ab-mvs-re7.68 34410.24 3460.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 38092.12 360.00 3820.00 3780.00 3780.00 3760.00 376
testmvs6.14 3458.18 3480.01 3590.01 3820.00 38473.40 2980.00 3830.00 3770.02 3780.15 3770.00 3820.00 3780.02 3760.00 3760.02 374
test1236.01 3468.01 3490.01 3590.00 3830.01 38371.93 3110.00 3830.00 3770.02 3780.11 3780.00 3820.00 3780.02 3760.00 3760.02 374
pcd_1.5k_mvsjas3.15 3474.20 3500.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 37937.77 1860.00 3780.00 3780.00 3760.00 376
test_blank0.00 3480.00 3510.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 3790.00 3820.00 3780.00 3780.00 3760.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 3790.00 3820.00 3780.00 3780.00 3760.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 3790.00 3820.00 3780.00 3780.00 3760.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 3790.00 3820.00 3780.00 3780.00 3760.00 376
sosnet0.00 3480.00 3510.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 3790.00 3820.00 3780.00 3780.00 3760.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 3790.00 3820.00 3780.00 3780.00 3760.00 376
Regformer0.00 3480.00 3510.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 3790.00 3820.00 3780.00 3780.00 3760.00 376
uanet0.00 3480.00 3510.00 3610.00 3830.00 3840.00 3720.00 3830.00 3770.00 3800.00 3790.00 3820.00 3780.00 3780.00 3760.00 376
FOURS183.24 11349.90 20084.98 13778.76 24047.71 29573.42 53
MSC_two_6792asdad81.53 1591.77 456.03 4591.10 696.22 881.46 2186.80 2892.34 31
PC_three_145266.58 4887.27 293.70 966.82 494.95 1889.74 291.98 493.98 5
No_MVS81.53 1591.77 456.03 4591.10 696.22 881.46 2186.80 2892.34 31
test_one_060189.39 2457.29 2288.09 5157.21 21882.06 1193.39 1354.94 25
eth-test20.00 383
eth-test0.00 383
ZD-MVS89.55 1653.46 10784.38 13357.02 22073.97 4791.03 5944.57 11291.17 7775.41 5981.78 75
RE-MVS-def66.66 18780.96 17248.14 24481.54 22976.98 27346.42 30762.75 16989.42 10229.28 27860.52 16572.06 16483.19 228
IU-MVS89.48 1957.49 1791.38 566.22 5488.26 182.83 1087.60 1892.44 28
OPU-MVS81.71 1392.05 355.97 4792.48 394.01 667.21 295.10 1689.82 192.55 394.06 3
test_241102_TWO88.76 3757.50 21383.60 694.09 456.14 1996.37 682.28 1487.43 2092.55 26
test_241102_ONE89.48 1956.89 2888.94 2957.53 21184.61 493.29 1658.81 1296.45 1
9.1478.19 2585.67 5988.32 5588.84 3459.89 15474.58 4392.62 2746.80 7992.66 4381.40 2385.62 41
save fliter85.35 7056.34 3989.31 3981.46 18961.55 127
test_0728_THIRD58.00 19881.91 1293.64 1156.54 1696.44 281.64 1986.86 2592.23 34
test_0728_SECOND82.20 989.50 1757.73 1392.34 588.88 3196.39 481.68 1687.13 2192.47 27
test072689.40 2257.45 1992.32 788.63 4057.71 20783.14 993.96 755.17 21
GSMVS88.13 138
test_part289.33 2555.48 5382.27 10
sam_mvs138.86 17888.13 138
sam_mvs35.99 222
ambc62.06 31453.98 36329.38 35835.08 36579.65 22041.37 33259.96 3476.27 36882.15 27335.34 30738.22 34874.65 323
MTGPAbinary81.31 192
test_post170.84 31614.72 37434.33 23583.86 25948.80 250
test_post16.22 37137.52 19484.72 254
patchmatchnet-post59.74 34838.41 18179.91 296
GG-mvs-BLEND77.77 8586.68 4850.61 17668.67 32488.45 4768.73 9687.45 13859.15 1190.67 9154.83 21187.67 1792.03 40
MTMP87.27 7815.34 379
gm-plane-assit83.24 11354.21 9070.91 1388.23 12595.25 1566.37 115
test9_res78.72 3585.44 4491.39 58
TEST985.68 5755.42 5487.59 6784.00 14457.72 20672.99 5790.98 6144.87 10788.58 149
test_885.72 5655.31 5887.60 6483.88 14757.84 20472.84 6190.99 6044.99 10488.34 159
agg_prior275.65 5485.11 4891.01 69
agg_prior85.64 6054.92 7283.61 15472.53 6588.10 169
TestCases55.32 33565.08 34137.50 33554.25 35735.45 35133.42 35472.82 2989.98 35859.33 35724.13 34943.84 33769.13 345
test_prior456.39 3887.15 81
test_prior289.04 4361.88 12273.55 5091.46 5548.01 6774.73 6385.46 42
test_prior78.39 7086.35 5054.91 7485.45 9789.70 11890.55 79
旧先验281.73 22345.53 31374.66 3970.48 34858.31 185
新几何281.61 227
新几何173.30 19383.10 11653.48 10671.43 32545.55 31266.14 11987.17 14433.88 24180.54 28648.50 25380.33 9085.88 181
旧先验181.57 15747.48 25271.83 31988.66 11636.94 20578.34 11088.67 127
无先验85.19 12578.00 25649.08 28985.13 24852.78 22787.45 151
原ACMM283.77 171
原ACMM176.13 12884.89 8054.59 8485.26 10851.98 27266.70 11087.07 14640.15 16789.70 11851.23 23785.06 4984.10 206
test22279.36 19750.97 17277.99 27067.84 33642.54 33262.84 16886.53 15330.26 27276.91 12085.23 193
testdata277.81 31545.64 270
segment_acmp44.97 106
testdata67.08 28477.59 23245.46 28069.20 33444.47 32071.50 8088.34 12131.21 26570.76 34752.20 23375.88 12885.03 195
testdata177.55 27364.14 83
test1279.24 4086.89 4656.08 4485.16 11372.27 7147.15 7691.10 8085.93 3790.54 82
plane_prior777.95 22748.46 237
plane_prior678.42 22249.39 21036.04 220
plane_prior582.59 17288.30 16265.46 12572.34 16184.49 201
plane_prior483.28 190
plane_prior348.95 21964.01 8662.15 174
plane_prior285.76 10963.60 96
plane_prior178.31 224
plane_prior49.57 20487.43 7164.57 7872.84 156
n20.00 383
nn0.00 383
door-mid41.31 366
lessismore_v067.98 27764.76 34441.25 31945.75 36336.03 34765.63 33519.29 33584.11 25835.67 30421.24 36678.59 286
LGP-MVS_train72.02 21774.42 27448.60 22980.64 20254.69 25353.75 27483.83 18025.73 30186.98 19860.33 16964.71 21080.48 269
test1184.25 138
door43.27 365
HQP5-MVS51.56 160
HQP-NCC79.02 20588.00 5865.45 6464.48 144
ACMP_Plane79.02 20588.00 5865.45 6464.48 144
BP-MVS66.70 112
HQP4-MVS64.47 14788.61 14884.91 198
HQP3-MVS83.68 15073.12 152
HQP2-MVS37.35 197
NP-MVS78.76 21050.43 18285.12 168
MDTV_nov1_ep13_2view43.62 29871.13 31554.95 25059.29 20536.76 20846.33 26787.32 153
MDTV_nov1_ep1361.56 24381.68 15055.12 6572.41 30478.18 25259.19 17258.85 21569.29 32334.69 23286.16 22136.76 30262.96 230
ACMMP++_ref63.20 226
ACMMP++59.38 250
Test By Simon39.38 173
ITE_SJBPF51.84 33858.03 35831.94 35453.57 35936.67 34641.32 33375.23 28111.17 35651.57 36425.81 34648.04 32172.02 339
DeepMVS_CXcopyleft13.10 35621.34 3808.99 37810.02 38010.59 3707.53 37330.55 3671.82 37814.55 3756.83 3717.52 37115.75 369