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 3058.00 19883.60 693.39 1367.21 296.39 481.64 1991.98 493.98 5
DPM-MVS82.39 482.36 682.49 680.12 18759.50 592.24 890.72 1069.37 2283.22 894.47 263.81 593.18 3474.02 7193.25 294.80 1
DELS-MVS82.32 582.50 481.79 1286.80 4656.89 2792.77 286.30 8277.83 177.88 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 5182.99 12352.71 13185.04 13488.63 3966.08 5886.77 392.75 2472.05 191.46 6883.35 993.53 192.23 33
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 2792.48 388.94 2857.50 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 3270.31 1677.64 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 3187.62 4154.21 9091.60 1386.47 7873.13 679.89 2193.10 1849.88 5592.98 3584.09 884.75 5193.08 16
patch_mono-280.84 1181.59 978.62 6090.34 1053.77 9788.08 5688.36 4776.17 279.40 2391.09 5755.43 2090.09 10885.01 580.40 8791.99 42
DeepPCF-MVS69.37 180.65 1281.56 1077.94 8385.46 6749.56 20390.99 2086.66 7670.58 1480.07 2095.30 156.18 1890.97 8382.57 1386.22 3693.28 12
HPM-MVS++copyleft80.50 1380.71 1379.88 3387.34 4355.20 6389.93 2987.55 6266.04 6179.46 2293.00 2253.10 3291.76 6280.40 2689.56 992.68 25
CSCG80.41 1479.72 1482.49 689.12 2757.67 1589.29 4191.54 359.19 17371.82 7590.05 9159.72 996.04 1078.37 3688.40 1493.75 7
PS-MVSNAJ80.06 1579.52 1681.68 1485.58 6160.97 391.69 1187.02 6770.62 1380.75 1793.22 1737.77 18592.50 4682.75 1186.25 3591.57 51
xiu_mvs_v2_base79.86 1679.31 1781.53 1585.03 7760.73 491.65 1286.86 7070.30 1780.77 1693.07 2137.63 19092.28 5182.73 1285.71 3991.57 51
DPE-MVScopyleft79.82 1779.66 1580.29 2589.27 2655.08 6888.70 4987.92 5355.55 24281.21 1593.69 1056.51 1794.27 2578.36 3785.70 4091.51 54
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 2591.38 1588.17 4967.71 3973.81 4892.75 2446.88 7893.28 3278.79 3484.07 5791.50 55
dcpmvs_279.33 1978.94 1980.49 2289.75 1456.54 3384.83 14383.68 14867.85 3669.36 9190.24 8260.20 792.10 5784.14 780.40 8792.82 21
SMA-MVScopyleft79.10 2078.76 2080.12 2984.42 8555.87 4887.58 6986.76 7361.48 13180.26 1993.10 1846.53 8392.41 4879.97 2788.77 1192.08 37
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 5485.58 6152.40 13988.42 5389.03 2560.01 15376.06 3392.80 2348.34 6192.88 3781.66 1886.48 3391.04 67
LFMVS78.52 2277.14 3882.67 489.58 1558.90 891.27 1888.05 5163.22 10174.63 4090.83 6841.38 15494.40 2375.42 5879.90 9794.72 2
APDe-MVS78.44 2378.20 2479.19 4088.56 2854.55 8589.76 3387.77 5755.91 23778.56 2492.49 2848.20 6392.65 4479.49 2883.04 6190.39 83
MG-MVS78.42 2476.99 4082.73 293.17 164.46 189.93 2988.51 4564.83 7573.52 5288.09 12748.07 6492.19 5362.24 14784.53 5491.53 53
lupinMVS78.38 2578.11 2779.19 4083.02 12155.24 6091.57 1484.82 12069.12 2376.67 3092.02 3944.82 10890.23 10580.83 2480.09 9292.08 37
ETH3D cwj APD-0.1678.36 2678.19 2578.86 4984.21 9152.68 13286.70 9189.02 2659.13 17875.37 3592.49 2849.06 6093.20 3380.67 2587.08 2390.71 76
EPNet78.36 2678.49 2277.97 8185.49 6452.04 14689.36 3884.07 14173.22 577.03 2991.72 4749.32 5990.17 10773.46 7782.77 6291.69 46
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 6481.33 16456.31 4081.59 22886.41 7969.61 2181.72 1488.16 12655.09 2388.04 17374.12 7086.31 3491.09 66
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 4384.30 8754.22 8987.71 6284.57 12967.70 4077.70 2692.11 3850.90 4689.95 11178.18 4077.54 11493.20 14
alignmvs78.08 3077.98 2878.39 6983.53 10453.22 11989.77 3285.45 9566.11 5676.59 3291.99 4154.07 2989.05 13277.34 4677.00 11992.89 20
DeepC-MVS_fast67.50 378.00 3177.63 3179.13 4288.52 2955.12 6589.95 2885.98 8868.31 2871.33 8192.75 2445.52 9790.37 9871.15 8885.14 4791.91 43
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 7487.43 4250.12 19290.93 2191.41 467.48 4275.12 3690.15 8846.77 8091.00 8073.52 7678.46 10893.44 9
TSAR-MVS + GP.77.82 3377.59 3278.49 6385.25 7350.27 19190.02 2690.57 1156.58 23174.26 4591.60 5154.26 2692.16 5475.87 5279.91 9693.05 17
Regformer-177.80 3477.44 3478.88 4787.78 3952.44 13887.60 6490.08 1468.86 2472.49 6791.79 4447.69 7094.90 2073.57 7577.05 11689.31 108
SF-MVS77.64 3577.42 3578.32 7283.75 10152.47 13786.63 9387.80 5458.78 18674.63 4092.38 3047.75 6891.35 7078.18 4086.85 2691.15 64
test_prior377.59 3677.33 3678.39 6986.35 4954.91 7489.04 4385.45 9561.88 12273.55 5091.46 5548.01 6689.70 11774.73 6385.46 4290.55 78
PHI-MVS77.49 3777.00 3978.95 4485.33 7150.69 17488.57 5188.59 4358.14 19573.60 4993.31 1543.14 13193.79 2973.81 7288.53 1392.37 30
WTY-MVS77.47 3877.52 3377.30 9688.33 3246.25 27088.46 5290.32 1271.40 1072.32 7091.72 4753.44 3092.37 4966.28 11775.42 13393.28 12
casdiffmvs77.36 3976.85 4178.88 4780.40 18454.66 8387.06 8285.88 8972.11 871.57 7888.63 12050.89 4890.35 9976.00 5179.11 10391.63 48
xxxxxxxxxxxxxcwj77.31 4076.54 4579.61 3485.35 6956.34 3889.31 3972.84 31361.55 12774.63 4092.38 3047.75 6891.35 7078.18 4086.85 2691.15 64
CS-MVS-test77.20 4177.25 3777.05 10384.60 8249.04 21489.42 3685.83 9165.90 6272.85 6091.98 4245.10 10191.27 7275.02 6284.56 5390.84 73
ETV-MVS77.17 4276.74 4378.48 6481.80 14754.55 8586.13 10285.33 10168.20 3073.10 5690.52 7645.23 10090.66 9179.37 2980.95 7890.22 87
Regformer-277.15 4376.82 4278.14 7587.78 3951.84 15287.60 6489.12 2267.23 4371.93 7491.79 4446.03 8993.53 3172.85 8177.05 11689.05 117
SteuartSystems-ACMMP77.08 4476.33 5079.34 3880.98 16855.31 5889.76 3386.91 6962.94 10571.65 7691.56 5242.33 13892.56 4577.14 4783.69 5990.15 90
Skip Steuart: Steuart Systems R&D Blog.
jason77.01 4576.45 4878.69 5779.69 19254.74 7790.56 2483.99 14468.26 2974.10 4690.91 6542.14 14289.99 11079.30 3079.12 10291.36 59
jason: jason.
testtj76.96 4676.48 4778.40 6889.89 1353.67 10188.72 4886.15 8554.56 25474.86 3892.31 3344.38 11391.97 6075.19 6082.24 6889.54 104
train_agg76.91 4776.40 4978.45 6685.68 5655.42 5487.59 6784.00 14257.84 20472.99 5790.98 6144.99 10388.58 15078.19 3885.32 4591.34 61
MVS76.91 4775.48 5881.23 1984.56 8355.21 6280.23 25191.64 258.65 18865.37 12991.48 5445.72 9495.05 1772.11 8589.52 1093.44 9
DeepC-MVS67.15 476.90 4976.27 5178.80 5180.70 17755.02 6986.39 9686.71 7466.96 4667.91 10389.97 9348.03 6591.41 6975.60 5584.14 5689.96 95
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 5680.47 18354.20 9283.90 16884.88 11971.38 1171.51 7989.15 10950.51 4990.55 9575.71 5378.65 10691.39 57
CS-MVS76.77 5176.70 4476.99 10883.55 10348.75 22388.60 5085.18 10966.38 5172.47 6891.62 5045.53 9690.99 8274.48 6682.51 6491.23 62
PAPM76.76 5276.07 5478.81 5080.20 18559.11 786.86 8986.23 8368.60 2670.18 9088.84 11451.57 4087.16 19665.48 12386.68 3090.15 90
MAR-MVS76.76 5275.60 5780.21 2690.87 854.68 8189.14 4289.11 2362.95 10470.54 8892.33 3241.05 15594.95 1857.90 19286.55 3291.00 69
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 7985.64 5954.92 7287.55 7083.61 15257.99 20072.53 6591.05 5845.36 9888.10 17077.76 4484.68 5290.99 70
PVSNet_Blended76.53 5576.54 4576.50 11785.91 5351.83 15388.89 4684.24 13867.82 3769.09 9489.33 10646.70 8188.13 16875.43 5681.48 7789.55 103
ACMMP_NAP76.43 5675.66 5678.73 5581.92 14554.67 8284.06 16385.35 10061.10 13672.99 5791.50 5340.25 16391.00 8076.84 4886.98 2490.51 82
MVS_111021_HR76.39 5775.38 6179.42 3785.33 7156.47 3588.15 5584.97 11665.15 7366.06 12089.88 9443.79 11992.16 5475.03 6180.03 9589.64 102
CHOSEN 1792x268876.24 5874.03 7882.88 183.09 11762.84 285.73 11385.39 9869.79 1964.87 13783.49 18641.52 15393.69 3070.55 9181.82 7392.12 36
SD-MVS76.18 5974.85 6980.18 2785.39 6856.90 2685.75 11182.45 17356.79 22674.48 4491.81 4343.72 12290.75 8974.61 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 9088.52 2953.44 11087.26 7985.03 11553.79 25974.91 3791.68 4943.80 11890.31 10174.36 6781.82 7388.87 121
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
VDD-MVS76.08 6174.97 6779.44 3684.27 9053.33 11691.13 1985.88 8965.33 7072.37 6989.34 10432.52 25192.76 4177.90 4375.96 12792.22 35
CDPH-MVS76.05 6275.19 6378.62 6086.51 4854.98 7187.32 7484.59 12858.62 18970.75 8690.85 6743.10 13390.63 9370.50 9284.51 5590.24 86
Regformer-376.02 6375.47 5977.70 8685.49 6451.47 16285.12 13090.19 1368.52 2769.36 9190.66 7046.45 8494.81 2170.25 9473.16 15086.81 164
EIA-MVS75.92 6475.18 6478.13 7685.14 7451.60 15887.17 8085.32 10264.69 7668.56 9790.53 7545.79 9391.58 6567.21 11082.18 7091.20 63
test_yl75.85 6574.83 7078.91 4588.08 3651.94 14891.30 1689.28 1957.91 20171.19 8389.20 10742.03 14592.77 3969.41 9675.07 13892.01 40
DCV-MVSNet75.85 6574.83 7078.91 4588.08 3651.94 14891.30 1689.28 1957.91 20171.19 8389.20 10742.03 14592.77 3969.41 9675.07 13892.01 40
MVS_Test75.85 6574.93 6878.62 6084.08 9355.20 6383.99 16685.17 11068.07 3373.38 5482.76 19650.44 5089.00 13665.90 11980.61 8391.64 47
ZNCC-MVS75.82 6875.02 6678.23 7383.88 9953.80 9686.91 8886.05 8759.71 15867.85 10490.55 7442.23 14091.02 7972.66 8385.29 4689.87 98
CLD-MVS75.60 6975.39 6076.24 12280.69 17852.40 13990.69 2286.20 8474.40 465.01 13588.93 11142.05 14490.58 9476.57 4973.96 14485.73 182
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 10481.37 16352.65 13484.34 15484.46 13061.16 13469.14 9391.76 4639.98 16988.99 13878.19 3884.89 5089.48 106
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DROMVSNet75.30 7175.20 6275.62 13680.98 16849.00 21587.43 7184.68 12663.49 9870.97 8590.15 8842.86 13591.14 7774.33 6881.90 7286.71 166
Effi-MVS+75.24 7273.61 8180.16 2881.92 14557.42 2185.21 12476.71 27860.68 14673.32 5589.34 10447.30 7491.63 6468.28 10479.72 9891.42 56
ET-MVSNet_ETH3D75.23 7374.08 7778.67 5884.52 8455.59 5088.92 4589.21 2168.06 3453.13 27790.22 8449.71 5687.62 18772.12 8470.82 17292.82 21
PAPR75.20 7474.13 7678.41 6788.31 3355.10 6784.31 15585.66 9363.76 9167.55 10590.73 6943.48 12789.40 12366.36 11677.03 11890.73 75
baseline275.15 7574.54 7476.98 10981.67 15051.74 15583.84 16991.94 169.97 1858.98 20686.02 15659.73 891.73 6368.37 10370.40 17687.48 148
diffmvs75.11 7674.65 7276.46 11978.52 21753.35 11483.28 18979.94 21070.51 1571.64 7788.72 11546.02 9086.08 23177.52 4575.75 13189.96 95
Regformer-475.06 7774.59 7376.47 11885.49 6450.33 18785.12 13088.61 4166.42 4968.48 9890.66 7044.15 11492.68 4269.24 9873.16 15086.39 172
MP-MVScopyleft74.99 7874.33 7576.95 11082.89 12753.05 12585.63 11583.50 15457.86 20367.25 10790.24 8243.38 12888.85 14476.03 5082.23 6988.96 119
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
GST-MVS74.87 7973.90 7977.77 8483.30 11053.45 10985.75 11185.29 10459.22 17266.50 11589.85 9540.94 15690.76 8870.94 9083.35 6089.10 116
#test#74.86 8073.78 8078.10 7784.30 8753.68 9986.95 8584.36 13259.00 18265.78 12490.56 7240.70 16090.90 8471.48 8680.88 7989.71 99
3Dnovator64.70 674.46 8172.48 9180.41 2482.84 12955.40 5783.08 19388.61 4167.61 4159.85 19188.66 11634.57 23293.97 2658.42 18388.70 1291.85 45
HFP-MVS74.37 8273.13 8578.10 7784.30 8753.68 9985.58 11684.36 13256.82 22465.78 12490.56 7240.70 16090.90 8469.18 9980.88 7989.71 99
VDDNet74.37 8272.13 10181.09 2079.58 19356.52 3490.02 2686.70 7552.61 26871.23 8287.20 14131.75 26193.96 2774.30 6975.77 13092.79 23
MSLP-MVS++74.21 8472.25 9780.11 3081.45 16156.47 3586.32 9879.65 21858.19 19466.36 11692.29 3436.11 21690.66 9167.39 10882.49 6593.18 15
API-MVS74.17 8572.07 10480.49 2290.02 1258.55 987.30 7684.27 13557.51 21265.77 12687.77 13341.61 15195.97 1151.71 23582.63 6386.94 156
zzz-MVS74.15 8673.11 8677.27 9881.54 15753.57 10384.02 16581.31 19059.41 16568.39 9990.96 6336.07 21789.01 13473.80 7382.45 6689.23 110
IB-MVS68.87 274.01 8772.03 10679.94 3283.04 12055.50 5290.24 2588.65 3767.14 4461.38 18081.74 21253.21 3194.28 2460.45 16762.41 23690.03 94
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 8872.89 8777.15 10280.17 18650.37 18484.68 14783.33 15568.08 3171.97 7288.65 11942.50 13691.15 7678.82 3257.78 27589.91 97
HY-MVS67.03 573.90 8973.14 8376.18 12684.70 8147.36 25275.56 28386.36 8166.27 5370.66 8783.91 17951.05 4489.31 12467.10 11172.61 15891.88 44
CostFormer73.89 9072.30 9678.66 5982.36 14156.58 3075.56 28385.30 10366.06 5970.50 8976.88 26357.02 1589.06 13068.27 10568.74 18690.33 85
test_part173.80 9172.13 10178.79 5385.92 5258.26 1090.60 2386.85 7163.98 8663.95 15381.54 21552.08 3992.24 5264.93 13259.32 25485.87 180
ACMMPR73.76 9272.61 8877.24 10183.92 9752.96 12885.58 11684.29 13456.82 22465.12 13190.45 7737.24 20090.18 10669.18 9980.84 8188.58 129
region2R73.75 9372.55 9077.33 9483.90 9852.98 12785.54 11984.09 14056.83 22365.10 13290.45 7737.34 19890.24 10468.89 10180.83 8288.77 125
CANet_DTU73.71 9473.14 8375.40 14182.61 13750.05 19384.67 14979.36 22669.72 2075.39 3490.03 9229.41 27685.93 23767.99 10679.11 10390.22 87
thisisatest051573.64 9572.20 9977.97 8181.63 15153.01 12686.69 9288.81 3462.53 11164.06 14985.65 16152.15 3892.50 4658.43 18169.84 17988.39 133
MVSFormer73.53 9672.19 10077.57 8983.02 12155.24 6081.63 22581.44 18850.28 28376.67 3090.91 6544.82 10886.11 22560.83 15980.09 9291.36 59
iter_conf0573.51 9772.24 9877.33 9487.93 3855.97 4687.90 6170.81 32768.72 2564.04 15084.36 17447.54 7290.87 8671.11 8967.75 19485.13 193
PVSNet_BlendedMVS73.42 9873.30 8273.76 17985.91 5351.83 15386.18 10184.24 13865.40 6769.09 9480.86 22146.70 8188.13 16875.43 5665.92 20781.33 259
PVSNet_Blended_VisFu73.40 9972.44 9276.30 12081.32 16554.70 8085.81 10778.82 23663.70 9264.53 14285.38 16547.11 7787.38 19367.75 10777.55 11386.81 164
MVSTER73.25 10072.33 9476.01 13185.54 6353.76 9883.52 17487.16 6567.06 4563.88 15681.66 21352.77 3390.44 9664.66 13364.69 21283.84 216
EI-MVSNet-Vis-set73.19 10172.60 8974.99 15082.56 13849.80 19982.55 20689.00 2766.17 5565.89 12388.98 11043.83 11792.29 5065.38 13069.01 18482.87 234
PMMVS72.98 10272.05 10575.78 13583.57 10248.60 22684.08 16182.85 16861.62 12668.24 10190.33 8128.35 28087.78 18272.71 8276.69 12190.95 71
XVS72.92 10371.62 10876.81 11283.41 10552.48 13584.88 14183.20 16158.03 19663.91 15489.63 9935.50 22389.78 11465.50 12180.50 8588.16 134
test250672.91 10472.43 9374.32 16380.12 18744.18 29483.19 19084.77 12364.02 8365.97 12187.43 13847.67 7188.72 14559.08 17479.66 9990.08 92
TESTMET0.1,172.86 10572.33 9474.46 15781.98 14450.77 17285.13 12785.47 9466.09 5767.30 10683.69 18437.27 19983.57 26765.06 13178.97 10589.05 117
Fast-Effi-MVS+72.73 10671.15 11777.48 9182.75 13254.76 7686.77 9080.64 20063.05 10365.93 12284.01 17744.42 11289.03 13356.45 20676.36 12688.64 127
MTAPA72.73 10671.22 11577.27 9881.54 15753.57 10367.06 32881.31 19059.41 16568.39 9990.96 6336.07 21789.01 13473.80 7382.45 6689.23 110
PGM-MVS72.60 10871.20 11676.80 11482.95 12452.82 13083.07 19482.14 17556.51 23263.18 16389.81 9635.68 22289.76 11667.30 10980.19 9187.83 142
HPM-MVScopyleft72.60 10871.50 11075.89 13382.02 14351.42 16480.70 24583.05 16356.12 23664.03 15189.53 10037.55 19288.37 15870.48 9380.04 9487.88 141
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CP-MVS72.59 11071.46 11176.00 13282.93 12652.32 14386.93 8782.48 17255.15 24563.65 15990.44 8035.03 22988.53 15468.69 10277.83 11287.15 154
baseline172.51 11172.12 10373.69 18285.05 7544.46 28883.51 17886.13 8671.61 964.64 13987.97 13055.00 2489.48 12259.07 17556.05 28887.13 155
EI-MVSNet-UG-set72.37 11271.73 10774.29 16481.60 15349.29 20981.85 22088.64 3865.29 7265.05 13388.29 12343.18 12991.83 6163.74 13767.97 19181.75 245
MS-PatchMatch72.34 11371.26 11475.61 13782.38 14055.55 5188.00 5789.95 1765.38 6856.51 25180.74 22332.28 25492.89 3657.95 19188.10 1578.39 291
HQP-MVS72.34 11371.44 11275.03 14879.02 20351.56 15988.00 5783.68 14865.45 6464.48 14385.13 16637.35 19688.62 14866.70 11273.12 15284.91 197
mvs_anonymous72.29 11570.74 11976.94 11182.85 12854.72 7978.43 27081.54 18663.77 9061.69 17979.32 23351.11 4385.31 24462.15 14975.79 12990.79 74
3Dnovator+62.71 772.29 11570.50 12277.65 8883.40 10851.29 16887.32 7486.40 8059.01 18158.49 21988.32 12232.40 25291.27 7257.04 20182.15 7190.38 84
nrg03072.27 11771.56 10974.42 15975.93 25550.60 17686.97 8483.21 16062.75 10767.15 10884.38 17250.07 5286.66 21171.19 8762.37 23785.99 175
VPNet72.07 11871.42 11374.04 17078.64 21447.17 25789.91 3187.97 5272.56 764.66 13885.04 16841.83 14988.33 16161.17 15760.97 24386.62 167
DP-MVS Recon71.99 11970.31 12677.01 10690.65 953.44 11089.37 3782.97 16656.33 23463.56 16189.47 10134.02 23692.15 5654.05 21872.41 15985.43 189
QAPM71.88 12069.33 14279.52 3582.20 14254.30 8886.30 9988.77 3556.61 23059.72 19387.48 13633.90 23995.36 1447.48 26081.49 7688.90 120
ECVR-MVScopyleft71.81 12171.00 11874.26 16580.12 18743.49 30084.69 14682.16 17464.02 8364.64 13987.43 13835.04 22889.21 12661.24 15679.66 9990.08 92
PAPM_NR71.80 12269.98 13377.26 10081.54 15753.34 11578.60 26985.25 10753.46 26160.53 18888.66 11645.69 9589.24 12556.49 20379.62 10189.19 113
mPP-MVS71.79 12370.38 12576.04 13082.65 13652.06 14584.45 15181.78 18355.59 24162.05 17789.68 9833.48 24388.28 16565.45 12678.24 11187.77 144
xiu_mvs_v1_base_debu71.60 12470.29 12775.55 13877.26 23653.15 12085.34 12079.37 22355.83 23872.54 6290.19 8522.38 32086.66 21173.28 7876.39 12386.85 160
xiu_mvs_v1_base71.60 12470.29 12775.55 13877.26 23653.15 12085.34 12079.37 22355.83 23872.54 6290.19 8522.38 32086.66 21173.28 7876.39 12386.85 160
xiu_mvs_v1_base_debi71.60 12470.29 12775.55 13877.26 23653.15 12085.34 12079.37 22355.83 23872.54 6290.19 8522.38 32086.66 21173.28 7876.39 12386.85 160
hse-mvs271.44 12770.68 12073.73 18176.34 24647.44 25179.45 26379.47 22268.08 3171.97 7286.01 15842.50 13686.93 20478.82 3253.46 31086.83 163
EPP-MVSNet71.14 12870.07 13274.33 16279.18 20046.52 26483.81 17086.49 7756.32 23557.95 22584.90 17054.23 2789.14 12958.14 18769.65 18187.33 151
VPA-MVSNet71.12 12970.66 12172.49 20878.75 20944.43 29087.64 6390.02 1563.97 8765.02 13481.58 21442.14 14287.42 19263.42 13963.38 22485.63 186
131471.11 13069.41 13976.22 12379.32 19750.49 17980.23 25185.14 11359.44 16458.93 20888.89 11333.83 24189.60 12161.49 15477.42 11588.57 130
test111171.06 13170.42 12472.97 19779.48 19441.49 31884.82 14482.74 16964.20 8162.98 16687.43 13835.20 22687.92 17558.54 18078.42 10989.49 105
tpmrst71.04 13269.77 13574.86 15183.19 11455.86 4975.64 28278.73 24067.88 3564.99 13673.73 28949.96 5479.56 30165.92 11867.85 19389.14 115
MVP-Stereo70.97 13370.44 12372.59 20576.03 25451.36 16585.02 13686.99 6860.31 15056.53 25078.92 23940.11 16790.00 10960.00 17290.01 676.41 313
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
HQP_MVS70.96 13469.91 13474.12 16877.95 22549.57 20185.76 10982.59 17063.60 9562.15 17483.28 19036.04 21988.30 16365.46 12472.34 16084.49 200
SR-MVS70.92 13569.73 13674.50 15683.38 10950.48 18084.27 15679.35 22748.96 29266.57 11490.45 7733.65 24287.11 19766.42 11474.56 14185.91 178
tpm270.82 13668.44 15177.98 8080.78 17556.11 4274.21 29381.28 19360.24 15168.04 10275.27 28152.26 3788.50 15555.82 20968.03 19089.33 107
ACMMPcopyleft70.81 13769.29 14375.39 14281.52 16051.92 15083.43 18183.03 16456.67 22958.80 21388.91 11231.92 25988.58 15065.89 12073.39 14985.67 183
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 13869.58 13774.26 16575.55 26051.34 16686.05 10483.29 15961.94 12162.95 16785.77 16034.15 23588.44 15665.44 12771.07 16982.99 231
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ab-mvs70.65 13969.11 14575.29 14480.87 17446.23 27173.48 29785.24 10859.99 15466.65 11080.94 22043.13 13288.69 14663.58 13868.07 18990.95 71
Vis-MVSNetpermissive70.61 14069.34 14174.42 15980.95 17348.49 23186.03 10577.51 26358.74 18765.55 12887.78 13234.37 23385.95 23652.53 23380.61 8388.80 123
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
sss70.49 14170.13 13171.58 23281.59 15439.02 32980.78 24484.71 12559.34 16866.61 11288.09 12737.17 20185.52 24061.82 15371.02 17090.20 89
CDS-MVSNet70.48 14269.43 13873.64 18477.56 23148.83 22283.51 17877.45 26463.27 10062.33 17385.54 16443.85 11683.29 27157.38 20074.00 14388.79 124
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
thisisatest053070.47 14368.56 14976.20 12579.78 19151.52 16183.49 18088.58 4457.62 21058.60 21582.79 19551.03 4591.48 6752.84 22662.36 23885.59 187
XXY-MVS70.18 14469.28 14472.89 20077.64 22942.88 30685.06 13387.50 6362.58 11062.66 17182.34 20643.64 12489.83 11358.42 18363.70 21985.96 177
Anonymous20240521170.11 14567.88 16076.79 11587.20 4447.24 25689.49 3577.38 26654.88 25066.14 11886.84 14720.93 33091.54 6656.45 20671.62 16591.59 49
PCF-MVS61.03 1070.10 14668.40 15275.22 14777.15 24051.99 14779.30 26582.12 17656.47 23361.88 17886.48 15443.98 11587.24 19555.37 21072.79 15786.43 171
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
BH-RMVSNet70.08 14768.01 15776.27 12184.21 9151.22 17087.29 7779.33 22958.96 18463.63 16086.77 14833.29 24590.30 10344.63 27573.96 14487.30 153
1112_ss70.05 14869.37 14072.10 21480.77 17642.78 30785.12 13076.75 27659.69 15961.19 18292.12 3647.48 7383.84 26253.04 22468.21 18889.66 101
BH-w/o70.02 14968.51 15074.56 15582.77 13050.39 18386.60 9478.14 25159.77 15759.65 19485.57 16339.27 17487.30 19449.86 24574.94 14085.99 175
FIs70.00 15070.24 13069.30 26377.93 22738.55 33183.99 16687.72 5966.86 4757.66 23284.17 17652.28 3685.31 24452.72 23268.80 18584.02 207
OpenMVScopyleft61.00 1169.99 15167.55 17077.30 9678.37 22154.07 9484.36 15385.76 9257.22 21756.71 24787.67 13430.79 26892.83 3843.04 28184.06 5885.01 195
GeoE69.96 15267.88 16076.22 12381.11 16751.71 15684.15 15976.74 27759.83 15660.91 18384.38 17241.56 15288.10 17051.67 23670.57 17488.84 122
HyFIR lowres test69.94 15367.58 16777.04 10477.11 24157.29 2281.49 23379.11 23258.27 19358.86 21180.41 22542.33 13886.96 20261.91 15168.68 18786.87 158
114514_t69.87 15467.88 16075.85 13488.38 3152.35 14286.94 8683.68 14853.70 26055.68 25785.60 16230.07 27391.20 7455.84 20871.02 17083.99 209
miper_enhance_ethall69.77 15568.90 14772.38 21078.93 20649.91 19683.29 18878.85 23464.90 7459.37 20079.46 23152.77 3385.16 24963.78 13658.72 25882.08 241
Anonymous2024052969.71 15667.28 17577.00 10783.78 10050.36 18588.87 4785.10 11447.22 30064.03 15183.37 18827.93 28592.10 5757.78 19567.44 19588.53 131
TR-MVS69.71 15667.85 16375.27 14582.94 12548.48 23287.40 7380.86 19757.15 21964.61 14187.08 14432.67 25089.64 12046.38 26771.55 16787.68 146
EI-MVSNet69.70 15868.70 14872.68 20375.00 26748.90 21979.54 26087.16 6561.05 13763.88 15683.74 18245.87 9190.44 9657.42 19964.68 21378.70 284
test-LLR69.65 15969.01 14671.60 23078.67 21148.17 23985.13 12779.72 21559.18 17563.13 16482.58 20136.91 20580.24 29260.56 16375.17 13586.39 172
test117269.64 16068.38 15373.41 19082.77 13048.84 22182.79 20078.34 24947.02 30365.27 13090.07 9031.17 26586.09 22964.51 13473.49 14885.31 190
APD-MVS_3200maxsize69.62 16168.23 15573.80 17881.58 15548.22 23881.91 21879.50 22148.21 29464.24 14889.75 9731.91 26087.55 18963.08 14173.85 14685.64 185
v2v48269.55 16267.64 16675.26 14672.32 29853.83 9584.93 14081.94 17865.37 6960.80 18579.25 23541.62 15088.98 13963.03 14259.51 25182.98 232
TAMVS69.51 16368.16 15673.56 18776.30 24948.71 22582.57 20477.17 26962.10 11761.32 18184.23 17541.90 14783.46 26954.80 21473.09 15488.50 132
PVSNet62.49 869.27 16467.81 16473.64 18484.41 8651.85 15184.63 15077.80 25666.42 4959.80 19284.95 16922.14 32580.44 29055.03 21175.11 13788.62 128
MVS_111021_LR69.07 16567.91 15872.54 20677.27 23549.56 20379.77 25673.96 30359.33 17060.73 18687.82 13130.19 27281.53 27969.94 9572.19 16286.53 168
mvs-test169.04 16667.57 16973.44 18975.17 26151.68 15786.57 9574.48 29762.15 11562.07 17685.79 15930.59 26987.48 19065.40 12865.94 20681.18 263
GA-MVS69.04 16666.70 18576.06 12975.11 26352.36 14183.12 19280.23 20663.32 9960.65 18779.22 23630.98 26788.37 15861.25 15566.41 20187.46 149
cascas69.01 16866.13 19677.66 8779.36 19555.41 5686.99 8383.75 14756.69 22858.92 20981.35 21724.31 30892.10 5753.23 22170.61 17385.46 188
cl2268.85 16967.69 16572.35 21178.07 22449.98 19582.45 20978.48 24662.50 11258.46 22077.95 24449.99 5385.17 24862.55 14458.72 25881.90 243
FMVSNet368.84 17067.40 17373.19 19385.05 7548.53 22985.71 11485.36 9960.90 14157.58 23479.15 23742.16 14186.77 20747.25 26263.40 22184.27 204
UniMVSNet_NR-MVSNet68.82 17168.29 15470.40 25175.71 25842.59 30984.23 15786.78 7266.31 5258.51 21682.45 20351.57 4084.64 25853.11 22255.96 28983.96 213
v114468.81 17266.82 18074.80 15372.34 29753.46 10684.68 14781.77 18464.25 8060.28 18977.91 24540.23 16488.95 14060.37 16859.52 25081.97 242
IS-MVSNet68.80 17367.55 17072.54 20678.50 21843.43 30181.03 23979.35 22759.12 17957.27 24286.71 14946.05 8887.70 18444.32 27675.60 13286.49 169
112168.79 17466.77 18274.82 15283.08 11853.46 10680.23 25171.53 32245.47 31566.31 11787.19 14234.02 23685.13 25052.78 22880.36 8985.87 180
PS-MVSNAJss68.78 17567.17 17773.62 18673.01 28848.33 23784.95 13984.81 12159.30 17158.91 21079.84 22837.77 18588.86 14362.83 14363.12 23183.67 218
thres20068.71 17667.27 17673.02 19584.73 8046.76 26085.03 13587.73 5862.34 11459.87 19083.45 18743.15 13088.32 16231.25 32867.91 19283.98 211
UGNet68.71 17667.11 17873.50 18880.55 18247.61 24884.08 16178.51 24559.45 16365.68 12782.73 19923.78 31185.08 25252.80 22776.40 12287.80 143
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 17867.58 16772.08 21576.91 24249.48 20682.47 20878.45 24762.68 10858.28 22477.88 24650.90 4685.01 25361.91 15158.72 25881.75 245
EPMVS68.45 17965.44 21377.47 9284.91 7856.17 4171.89 31381.91 18161.72 12560.85 18472.49 30336.21 21587.06 19947.32 26171.62 16589.17 114
test-mter68.36 18067.29 17471.60 23078.67 21148.17 23985.13 12779.72 21553.38 26263.13 16482.58 20127.23 29180.24 29260.56 16375.17 13586.39 172
tpm68.36 18067.48 17270.97 24279.93 19051.34 16676.58 27978.75 23967.73 3863.54 16274.86 28348.33 6272.36 34353.93 21963.71 21889.21 112
tttt051768.33 18266.29 19174.46 15778.08 22349.06 21180.88 24289.08 2454.40 25654.75 26280.77 22251.31 4290.33 10049.35 24958.01 26983.99 209
BH-untuned68.28 18366.40 18873.91 17381.62 15250.01 19485.56 11877.39 26557.63 20957.47 23983.69 18436.36 21487.08 19844.81 27473.08 15584.65 199
SR-MVS-dyc-post68.27 18466.87 17972.48 20980.96 17048.14 24181.54 22976.98 27246.42 30862.75 16989.42 10231.17 26586.09 22960.52 16572.06 16383.19 227
v14868.24 18566.35 18973.88 17471.76 30151.47 16284.23 15781.90 18263.69 9358.94 20776.44 26843.72 12287.78 18260.63 16155.86 29182.39 239
AUN-MVS68.20 18666.35 18973.76 17976.37 24547.45 25079.52 26279.52 22060.98 13962.34 17286.02 15636.59 21386.94 20362.32 14653.47 30986.89 157
abl_668.03 18766.15 19573.66 18378.54 21648.48 23279.77 25678.04 25247.39 29963.70 15888.25 12428.21 28189.06 13060.17 17171.25 16883.45 220
c3_l67.97 18866.66 18671.91 22676.20 25149.31 20882.13 21478.00 25461.99 11957.64 23376.94 26049.41 5784.93 25460.62 16257.01 27981.49 250
v119267.96 18965.74 20574.63 15471.79 30053.43 11284.06 16380.99 19663.19 10259.56 19777.46 25237.50 19588.65 14758.20 18658.93 25781.79 244
v14419267.86 19065.76 20474.16 16771.68 30253.09 12384.14 16080.83 19862.85 10659.21 20477.28 25539.30 17388.00 17458.67 17957.88 27381.40 256
HPM-MVS_fast67.86 19066.28 19272.61 20480.67 17948.34 23681.18 23775.95 28750.81 28259.55 19888.05 12927.86 28685.98 23358.83 17773.58 14783.51 219
AdaColmapbinary67.86 19065.48 21075.00 14988.15 3554.99 7086.10 10376.63 28049.30 28957.80 22886.65 15129.39 27788.94 14245.10 27370.21 17781.06 264
UniMVSNet (Re)67.71 19366.80 18170.45 24974.44 27242.93 30582.42 21084.90 11863.69 9359.63 19580.99 21947.18 7585.23 24751.17 23956.75 28083.19 227
V4267.66 19465.60 20973.86 17570.69 31453.63 10281.50 23178.61 24363.85 8959.49 19977.49 25137.98 18287.65 18562.33 14558.43 26280.29 274
WR-MVS67.58 19566.76 18370.04 25875.92 25645.06 28686.23 10085.28 10564.31 7958.50 21881.00 21844.80 11082.00 27849.21 25055.57 29483.06 230
tfpn200view967.57 19666.13 19671.89 22784.05 9445.07 28383.40 18387.71 6060.79 14257.79 22982.76 19643.53 12587.80 17928.80 33466.36 20282.78 236
FMVSNet267.57 19665.79 20372.90 19882.71 13347.97 24685.15 12684.93 11758.55 19056.71 24778.26 24336.72 21086.67 21046.15 26962.94 23384.07 206
FC-MVSNet-test67.49 19867.91 15866.21 29376.06 25233.06 34980.82 24387.18 6464.44 7854.81 26082.87 19350.40 5182.60 27348.05 25766.55 20082.98 232
v192192067.45 19965.23 21774.10 16971.51 30552.90 12983.75 17280.44 20362.48 11359.12 20577.13 25636.98 20387.90 17657.53 19758.14 26781.49 250
cl____67.43 20065.93 20071.95 22376.33 24748.02 24482.58 20379.12 23161.30 13356.72 24676.92 26146.12 8686.44 21957.98 18956.31 28381.38 258
DIV-MVS_self_test67.43 20065.93 20071.94 22476.33 24748.01 24582.57 20479.11 23261.31 13256.73 24576.92 26146.09 8786.43 22057.98 18956.31 28381.39 257
gg-mvs-nofinetune67.43 20064.53 22576.13 12785.95 5147.79 24764.38 33288.28 4839.34 33866.62 11141.27 36058.69 1489.00 13649.64 24786.62 3191.59 49
thres40067.40 20366.13 19671.19 23884.05 9445.07 28383.40 18387.71 6060.79 14257.79 22982.76 19643.53 12587.80 17928.80 33466.36 20280.71 269
UA-Net67.32 20466.23 19370.59 24678.85 20741.23 32173.60 29575.45 29161.54 12966.61 11284.53 17138.73 17886.57 21642.48 28674.24 14283.98 211
v867.25 20564.99 22074.04 17072.89 29153.31 11782.37 21180.11 20861.54 12954.29 26876.02 27742.89 13488.41 15758.43 18156.36 28180.39 273
NR-MVSNet67.25 20565.99 19971.04 24173.27 28643.91 29585.32 12384.75 12466.05 6053.65 27582.11 20945.05 10285.97 23547.55 25956.18 28683.24 225
Test_1112_low_res67.18 20766.23 19370.02 25978.75 20941.02 32283.43 18173.69 30557.29 21658.45 22182.39 20545.30 9980.88 28550.50 24166.26 20588.16 134
CPTT-MVS67.15 20865.84 20271.07 24080.96 17050.32 18881.94 21774.10 30046.18 31157.91 22687.64 13529.57 27581.31 28164.10 13570.18 17881.56 249
GBi-Net67.09 20965.47 21171.96 22082.71 13346.36 26683.52 17483.31 15658.55 19057.58 23476.23 27236.72 21086.20 22147.25 26263.40 22183.32 222
test167.09 20965.47 21171.96 22082.71 13346.36 26683.52 17483.31 15658.55 19057.58 23476.23 27236.72 21086.20 22147.25 26263.40 22183.32 222
PatchmatchNetpermissive67.07 21163.63 23177.40 9383.10 11558.03 1172.11 31177.77 25858.85 18559.37 20070.83 31637.84 18484.93 25442.96 28369.83 18089.26 109
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v124066.99 21264.68 22373.93 17271.38 30952.66 13383.39 18579.98 20961.97 12058.44 22277.11 25735.25 22587.81 17856.46 20558.15 26581.33 259
eth_miper_zixun_eth66.98 21365.28 21672.06 21675.61 25950.40 18281.00 24076.97 27562.00 11856.99 24476.97 25944.84 10785.58 23958.75 17854.42 30180.21 275
TranMVSNet+NR-MVSNet66.94 21465.61 20870.93 24373.45 28343.38 30283.02 19684.25 13665.31 7158.33 22381.90 21139.92 17085.52 24049.43 24854.89 29883.89 215
bld_raw_dy_conf00166.93 21564.88 22273.09 19475.06 26547.26 25483.36 18769.21 33362.64 10955.68 25781.43 21629.72 27489.20 12763.35 14063.50 22082.79 235
thres100view90066.87 21665.42 21471.24 23683.29 11143.15 30381.67 22487.78 5559.04 18055.92 25582.18 20843.73 12087.80 17928.80 33466.36 20282.78 236
DU-MVS66.84 21765.74 20570.16 25473.27 28642.59 30981.50 23182.92 16763.53 9758.51 21682.11 20940.75 15784.64 25853.11 22255.96 28983.24 225
IterMVS-LS66.63 21865.36 21570.42 25075.10 26448.90 21981.45 23476.69 27961.05 13755.71 25677.10 25845.86 9283.65 26657.44 19857.88 27378.70 284
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v1066.61 21964.20 22873.83 17772.59 29453.37 11381.88 21979.91 21261.11 13554.09 27075.60 27940.06 16888.26 16656.47 20456.10 28779.86 279
Fast-Effi-MVS+-dtu66.53 22064.10 22973.84 17672.41 29652.30 14484.73 14575.66 28859.51 16256.34 25279.11 23828.11 28385.85 23857.74 19663.29 22583.35 221
thres600view766.46 22165.12 21870.47 24883.41 10543.80 29782.15 21387.78 5559.37 16756.02 25482.21 20743.73 12086.90 20526.51 34564.94 20980.71 269
LPG-MVS_test66.44 22264.58 22472.02 21774.42 27348.60 22683.07 19480.64 20054.69 25253.75 27383.83 18025.73 30186.98 20060.33 16964.71 21080.48 271
tpm cat166.28 22362.78 23376.77 11681.40 16257.14 2470.03 32077.19 26853.00 26558.76 21470.73 31946.17 8586.73 20943.27 28064.46 21486.44 170
EPNet_dtu66.25 22466.71 18464.87 30378.66 21334.12 34482.80 19975.51 28961.75 12464.47 14686.90 14637.06 20272.46 34243.65 27969.63 18288.02 140
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Effi-MVS+-dtu66.24 22564.96 22170.08 25675.17 26149.64 20082.01 21574.48 29762.15 11557.83 22776.08 27630.59 26983.79 26365.40 12860.93 24476.81 306
ACMP61.11 966.24 22564.33 22672.00 21974.89 26949.12 21083.18 19179.83 21355.41 24452.29 28382.68 20025.83 29986.10 22760.89 15863.94 21780.78 267
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Anonymous2023121166.08 22763.67 23073.31 19183.07 11948.75 22386.01 10684.67 12745.27 31656.54 24976.67 26628.06 28488.95 14052.78 22859.95 24782.23 240
OMC-MVS65.97 22865.06 21968.71 27272.97 28942.58 31178.61 26875.35 29254.72 25159.31 20286.25 15533.30 24477.88 31457.99 18867.05 19785.66 184
X-MVStestdata65.85 22962.20 23776.81 11283.41 10552.48 13584.88 14183.20 16158.03 19663.91 1544.82 37635.50 22389.78 11465.50 12180.50 8588.16 134
bld_raw_conf00565.62 23063.24 23272.77 20174.32 27646.61 26282.74 20166.71 33960.71 14554.67 26380.73 22424.12 31089.16 12861.92 15063.22 22782.54 238
Vis-MVSNet (Re-imp)65.52 23165.63 20765.17 30177.49 23230.54 35675.49 28677.73 25959.34 16852.26 28586.69 15049.38 5880.53 28937.07 29975.28 13484.42 202
Baseline_NR-MVSNet65.49 23264.27 22769.13 26474.37 27541.65 31683.39 18578.85 23459.56 16159.62 19676.88 26340.75 15787.44 19149.99 24355.05 29678.28 293
FMVSNet164.57 23362.11 23871.96 22077.32 23446.36 26683.52 17483.31 15652.43 27154.42 26676.23 27227.80 28786.20 22142.59 28561.34 24283.32 222
dp64.41 23461.58 24172.90 19882.40 13954.09 9372.53 30376.59 28160.39 14955.68 25770.39 32035.18 22776.90 32239.34 29161.71 24087.73 145
ACMM58.35 1264.35 23562.01 23971.38 23474.21 27748.51 23082.25 21279.66 21747.61 29754.54 26580.11 22625.26 30386.00 23251.26 23763.16 22979.64 280
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
pm-mvs164.12 23662.56 23468.78 27071.68 30238.87 33082.89 19881.57 18555.54 24353.89 27277.82 24737.73 18886.74 20848.46 25553.49 30880.72 268
miper_lstm_enhance63.91 23762.30 23668.75 27175.06 26546.78 25969.02 32481.14 19459.68 16052.76 28072.39 30640.71 15977.99 31256.81 20253.09 31181.48 252
SCA63.84 23860.01 25775.32 14378.58 21557.92 1261.61 34077.53 26256.71 22757.75 23170.77 31731.97 25779.91 29848.80 25156.36 28188.13 137
test_djsdf63.84 23861.56 24270.70 24568.78 32344.69 28781.63 22581.44 18850.28 28352.27 28476.26 27126.72 29486.11 22560.83 15955.84 29281.29 262
IterMVS63.77 24061.67 24070.08 25672.68 29351.24 16980.44 24775.51 28960.51 14851.41 28873.70 29232.08 25678.91 30254.30 21654.35 30280.08 277
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
RRT_MVS63.68 24161.01 24971.70 22873.48 28245.98 27381.19 23676.08 28554.33 25752.84 27979.27 23422.21 32387.65 18554.13 21755.54 29581.46 253
test_low_dy_conf_00163.62 24261.32 24570.53 24771.46 30643.56 29979.77 25677.78 25752.44 27050.15 29679.69 22922.46 31986.45 21857.90 19260.21 24681.57 248
D2MVS63.49 24361.39 24469.77 26069.29 32148.93 21878.89 26777.71 26060.64 14749.70 29872.10 31127.08 29283.48 26854.48 21562.65 23476.90 305
pmmvs463.34 24461.07 24870.16 25470.14 31650.53 17879.97 25571.41 32455.08 24654.12 26978.58 24132.79 24982.09 27750.33 24257.22 27877.86 297
jajsoiax63.21 24560.84 25070.32 25268.33 32844.45 28981.23 23581.05 19553.37 26350.96 29377.81 24817.49 34385.49 24259.31 17358.05 26881.02 265
MIMVSNet63.12 24660.29 25571.61 22975.92 25646.65 26165.15 32981.94 17859.14 17754.65 26469.47 32325.74 30080.63 28741.03 28869.56 18387.55 147
CL-MVSNet_self_test62.98 24761.14 24768.50 27665.86 33742.96 30484.37 15282.98 16560.98 13953.95 27172.70 30240.43 16283.71 26541.10 28747.93 32378.83 283
mvs_tets62.96 24860.55 25270.19 25368.22 33144.24 29380.90 24180.74 19952.99 26650.82 29577.56 24916.74 34685.44 24359.04 17657.94 27080.89 266
TransMVSNet (Re)62.82 24960.76 25169.02 26573.98 27941.61 31786.36 9779.30 23056.90 22152.53 28176.44 26841.85 14887.60 18838.83 29240.61 34577.86 297
pmmvs562.80 25061.18 24667.66 28069.53 32042.37 31482.65 20275.19 29354.30 25852.03 28678.51 24231.64 26280.67 28648.60 25358.15 26579.95 278
test0.0.03 162.54 25162.44 23562.86 31372.28 29929.51 35882.93 19778.78 23759.18 17553.07 27882.41 20436.91 20577.39 31837.45 29558.96 25681.66 247
UniMVSNet_ETH3D62.51 25260.49 25368.57 27568.30 32940.88 32473.89 29479.93 21151.81 27754.77 26179.61 23024.80 30681.10 28249.93 24461.35 24183.73 217
v7n62.50 25359.27 26272.20 21367.25 33449.83 19877.87 27280.12 20752.50 26948.80 30273.07 29732.10 25587.90 17646.83 26554.92 29778.86 282
CR-MVSNet62.47 25459.04 26472.77 20173.97 28056.57 3160.52 34371.72 31860.04 15257.49 23765.86 33438.94 17580.31 29142.86 28459.93 24881.42 254
tpmvs62.45 25559.42 26071.53 23383.93 9654.32 8770.03 32077.61 26151.91 27453.48 27668.29 32737.91 18386.66 21133.36 31858.27 26373.62 331
EG-PatchMatch MVS62.40 25659.59 25870.81 24473.29 28549.05 21285.81 10784.78 12251.85 27644.19 32073.48 29515.52 35189.85 11240.16 28967.24 19673.54 332
XVG-OURS-SEG-HR62.02 25759.54 25969.46 26265.30 34045.88 27465.06 33073.57 30746.45 30757.42 24083.35 18926.95 29378.09 30853.77 22064.03 21584.42 202
XVG-OURS61.88 25859.34 26169.49 26165.37 33946.27 26964.80 33173.49 30847.04 30257.41 24182.85 19425.15 30478.18 30653.00 22564.98 20884.01 208
TAPA-MVS56.12 1461.82 25960.18 25666.71 28978.48 21937.97 33475.19 28876.41 28346.82 30457.04 24386.52 15327.67 28977.03 32026.50 34667.02 19885.14 192
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
tfpnnormal61.47 26059.09 26368.62 27476.29 25041.69 31581.14 23885.16 11154.48 25551.32 28973.63 29332.32 25386.89 20621.78 35555.71 29377.29 303
PVSNet_057.04 1361.19 26157.24 27273.02 19577.45 23350.31 18979.43 26477.36 26763.96 8847.51 31172.45 30525.03 30583.78 26452.76 23119.22 36884.96 196
PLCcopyleft52.38 1860.89 26258.97 26566.68 29181.77 14845.70 27878.96 26674.04 30243.66 32847.63 30883.19 19223.52 31477.78 31737.47 29460.46 24576.55 312
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CVMVSNet60.85 26360.44 25462.07 31475.00 26732.73 35179.54 26073.49 30836.98 34656.28 25383.74 18229.28 27869.53 35146.48 26663.23 22683.94 214
CNLPA60.59 26458.44 26767.05 28679.21 19947.26 25479.75 25964.34 34542.46 33451.90 28783.94 17827.79 28875.41 32737.12 29759.49 25278.47 288
anonymousdsp60.46 26557.65 26968.88 26663.63 34945.09 28272.93 30178.63 24246.52 30651.12 29072.80 30121.46 32883.07 27257.79 19453.97 30378.47 288
ACMH53.70 1659.78 26655.94 28371.28 23576.59 24448.35 23580.15 25476.11 28449.74 28741.91 33173.45 29616.50 34890.31 10131.42 32657.63 27675.17 321
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
pmmvs659.64 26757.15 27367.09 28466.01 33536.86 33880.50 24678.64 24145.05 31849.05 30173.94 28827.28 29086.10 22743.96 27849.94 31878.31 292
MSDG59.44 26855.14 28872.32 21274.69 27050.71 17374.39 29273.58 30644.44 32243.40 32577.52 25019.45 33490.87 8631.31 32757.49 27775.38 319
RPMNet59.29 26954.25 29274.42 15973.97 28056.57 3160.52 34376.98 27235.72 35057.49 23758.87 35237.73 18885.26 24627.01 34459.93 24881.42 254
DP-MVS59.24 27056.12 28168.63 27388.24 3450.35 18682.51 20764.43 34441.10 33646.70 31478.77 24024.75 30788.57 15322.26 35356.29 28566.96 351
OpenMVS_ROBcopyleft53.19 1759.20 27156.00 28268.83 26871.13 31144.30 29183.64 17375.02 29446.42 30846.48 31673.03 29818.69 33888.14 16727.74 34161.80 23974.05 328
IterMVS-SCA-FT59.12 27258.81 26660.08 32670.68 31545.07 28380.42 24874.25 29943.54 32950.02 29773.73 28931.97 25756.74 36151.06 24053.60 30778.42 290
our_test_359.11 27355.08 28971.18 23971.42 30753.29 11881.96 21674.52 29648.32 29342.08 32969.28 32528.14 28282.15 27534.35 31545.68 33578.11 296
Anonymous2023120659.08 27457.59 27063.55 30868.77 32432.14 35480.26 25079.78 21450.00 28649.39 29972.39 30626.64 29578.36 30533.12 32157.94 27080.14 276
KD-MVS_2432*160059.04 27556.44 27866.86 28779.07 20145.87 27572.13 30980.42 20455.03 24748.15 30471.01 31436.73 20878.05 31035.21 30930.18 36276.67 307
miper_refine_blended59.04 27556.44 27866.86 28779.07 20145.87 27572.13 30980.42 20455.03 24748.15 30471.01 31436.73 20878.05 31035.21 30930.18 36276.67 307
WR-MVS_H58.91 27758.04 26861.54 31969.07 32233.83 34676.91 27681.99 17751.40 27948.17 30374.67 28440.23 16474.15 33131.78 32548.10 32176.64 310
LCM-MVSNet-Re58.82 27856.54 27665.68 29579.31 19829.09 36161.39 34245.79 36360.73 14437.65 34472.47 30431.42 26381.08 28349.66 24670.41 17586.87 158
Patchmatch-RL test58.72 27954.32 29171.92 22563.91 34844.25 29261.73 33955.19 35557.38 21549.31 30054.24 35637.60 19180.89 28462.19 14847.28 32790.63 77
FMVSNet558.61 28056.45 27765.10 30277.20 23939.74 32674.77 28977.12 27050.27 28543.28 32667.71 32926.15 29876.90 32236.78 30254.78 29978.65 286
ppachtmachnet_test58.56 28154.34 29071.24 23671.42 30754.74 7781.84 22172.27 31549.02 29145.86 31968.99 32626.27 29683.30 27030.12 33043.23 34075.69 316
ACMH+54.58 1558.55 28255.24 28568.50 27674.68 27145.80 27780.27 24970.21 33047.15 30142.77 32875.48 28016.73 34785.98 23335.10 31354.78 29973.72 330
CP-MVSNet58.54 28357.57 27161.46 32068.50 32633.96 34576.90 27778.60 24451.67 27847.83 30676.60 26734.99 23072.79 34035.45 30647.58 32477.64 301
PEN-MVS58.35 28457.15 27361.94 31667.55 33334.39 34377.01 27578.35 24851.87 27547.72 30776.73 26533.91 23873.75 33534.03 31647.17 32877.68 299
PS-CasMVS58.12 28557.03 27561.37 32168.24 33033.80 34776.73 27878.01 25351.20 28047.54 31076.20 27532.85 24772.76 34135.17 31147.37 32677.55 302
UnsupCasMVSNet_eth57.56 28655.15 28764.79 30464.57 34633.12 34873.17 30083.87 14658.98 18341.75 33270.03 32122.54 31879.92 29646.12 27035.31 35181.32 261
CHOSEN 280x42057.53 28756.38 28060.97 32474.01 27848.10 24346.30 35754.31 35748.18 29550.88 29477.43 25338.37 18159.16 36054.83 21263.14 23075.66 317
DTE-MVSNet57.03 28855.73 28460.95 32565.94 33632.57 35275.71 28177.09 27151.16 28146.65 31576.34 27032.84 24873.22 33930.94 32944.87 33677.06 304
MVS_030456.72 28955.17 28661.37 32170.71 31236.80 33975.74 28068.75 33544.11 32652.53 28168.20 32815.05 35274.53 33042.98 28258.44 26172.79 337
PatchMatch-RL56.66 29053.75 29565.37 30077.91 22845.28 28169.78 32260.38 35041.35 33547.57 30973.73 28916.83 34576.91 32136.99 30059.21 25573.92 329
PatchT56.60 29152.97 29867.48 28172.94 29046.16 27257.30 34973.78 30438.77 34054.37 26757.26 35537.52 19378.06 30932.02 32352.79 31278.23 295
Patchmtry56.56 29252.95 29967.42 28272.53 29550.59 17759.05 34671.72 31837.86 34446.92 31265.86 33438.94 17580.06 29536.94 30146.72 33271.60 342
test_040256.45 29353.03 29766.69 29076.78 24350.31 18981.76 22269.61 33242.79 33243.88 32172.13 30922.82 31786.46 21716.57 36450.94 31663.31 357
LS3D56.40 29453.82 29464.12 30581.12 16645.69 27973.42 29866.14 34035.30 35443.24 32779.88 22722.18 32479.62 30019.10 36164.00 21667.05 350
ADS-MVSNet56.17 29551.95 30468.84 26780.60 18053.07 12455.03 35170.02 33144.72 31951.00 29161.19 34522.83 31578.88 30328.54 33753.63 30574.57 325
XVG-ACMP-BASELINE56.03 29652.85 30065.58 29661.91 35440.95 32363.36 33372.43 31445.20 31746.02 31774.09 2869.20 36278.12 30745.13 27258.27 26377.66 300
pmmvs-eth3d55.97 29752.78 30165.54 29761.02 35646.44 26575.36 28767.72 33749.61 28843.65 32367.58 33021.63 32777.04 31944.11 27744.33 33773.15 336
F-COLMAP55.96 29853.65 29662.87 31272.76 29242.77 30874.70 29170.37 32940.03 33741.11 33579.36 23217.77 34273.70 33632.80 32253.96 30472.15 338
CMPMVSbinary40.41 2155.34 29952.64 30263.46 30960.88 35743.84 29661.58 34171.06 32530.43 35736.33 34674.63 28524.14 30975.44 32648.05 25766.62 19971.12 345
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test20.0355.22 30054.07 29358.68 33063.14 35125.00 36577.69 27374.78 29552.64 26743.43 32472.39 30626.21 29774.76 32929.31 33247.05 33076.28 314
ADS-MVSNet255.21 30151.44 30566.51 29280.60 18049.56 20355.03 35165.44 34144.72 31951.00 29161.19 34522.83 31575.41 32728.54 33753.63 30574.57 325
SixPastTwentyTwo54.37 30250.10 30967.21 28370.70 31341.46 31974.73 29064.69 34347.56 29839.12 34069.49 32218.49 34084.69 25731.87 32434.20 35775.48 318
USDC54.36 30351.23 30663.76 30764.29 34737.71 33562.84 33873.48 31056.85 22235.47 34971.94 3129.23 36178.43 30438.43 29348.57 32075.13 322
testgi54.25 30452.57 30359.29 32862.76 35221.65 37072.21 30870.47 32853.25 26441.94 33077.33 25414.28 35377.95 31329.18 33351.72 31578.28 293
K. test v354.04 30549.42 31367.92 27968.55 32542.57 31275.51 28563.07 34752.07 27239.21 33964.59 33819.34 33582.21 27437.11 29825.31 36478.97 281
UnsupCasMVSNet_bld53.86 30650.53 30863.84 30663.52 35034.75 34271.38 31481.92 18046.53 30538.95 34157.93 35320.55 33180.20 29439.91 29034.09 35876.57 311
YYNet153.82 30749.96 31065.41 29970.09 31848.95 21672.30 30671.66 32044.25 32431.89 35863.07 34223.73 31273.95 33333.26 31939.40 34773.34 333
MDA-MVSNet_test_wron53.82 30749.95 31165.43 29870.13 31749.05 21272.30 30671.65 32144.23 32531.85 35963.13 34123.68 31374.01 33233.25 32039.35 34873.23 335
Patchmatch-test53.33 30948.17 31668.81 26973.31 28442.38 31342.98 36058.23 35232.53 35538.79 34270.77 31739.66 17173.51 33725.18 34852.06 31490.55 78
LTVRE_ROB45.45 1952.73 31049.74 31261.69 31869.78 31934.99 34144.52 35867.60 33843.11 33143.79 32274.03 28718.54 33981.45 28028.39 33957.94 27068.62 348
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 31150.72 30758.37 33162.69 35328.13 36372.60 30275.97 28630.94 35640.76 33772.11 31020.16 33270.80 34735.11 31246.11 33376.19 315
OurMVSNet-221017-052.39 31248.73 31463.35 31065.21 34138.42 33268.54 32664.95 34238.19 34139.57 33871.43 31313.23 35579.92 29637.16 29640.32 34671.72 341
JIA-IIPM52.33 31347.77 31966.03 29471.20 31046.92 25840.00 36476.48 28237.10 34546.73 31337.02 36232.96 24677.88 31435.97 30452.45 31373.29 334
Anonymous2024052151.65 31448.42 31561.34 32356.43 36239.65 32873.57 29673.47 31136.64 34836.59 34563.98 33910.75 35872.25 34435.35 30749.01 31972.11 339
MDA-MVSNet-bldmvs51.56 31547.75 32063.00 31171.60 30447.32 25369.70 32372.12 31643.81 32727.65 36363.38 34021.97 32675.96 32427.30 34332.19 35965.70 354
COLMAP_ROBcopyleft43.60 2050.90 31648.05 31759.47 32767.81 33240.57 32571.25 31562.72 34936.49 34936.19 34773.51 29413.48 35473.92 33420.71 35750.26 31763.92 356
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
MIMVSNet150.35 31747.81 31857.96 33261.53 35527.80 36467.40 32774.06 30143.25 33033.31 35765.38 33716.03 34971.34 34521.80 35447.55 32574.75 323
KD-MVS_self_test49.24 31846.85 32156.44 33454.32 36322.87 36757.39 34873.36 31244.36 32337.98 34359.30 35118.97 33771.17 34633.48 31742.44 34175.26 320
MVS-HIRNet49.01 31944.71 32361.92 31776.06 25246.61 26263.23 33554.90 35624.77 36133.56 35436.60 36421.28 32975.88 32529.49 33162.54 23563.26 358
new-patchmatchnet48.21 32046.55 32253.18 33857.73 36018.19 37470.24 31871.02 32645.70 31233.70 35360.23 34718.00 34169.86 35027.97 34034.35 35571.49 344
TinyColmap48.15 32144.49 32559.13 32965.73 33838.04 33363.34 33462.86 34838.78 33929.48 36167.23 3326.46 36873.30 33824.59 34941.90 34366.04 352
AllTest47.32 32244.66 32455.32 33665.08 34237.50 33662.96 33754.25 35835.45 35233.42 35572.82 2999.98 35959.33 35824.13 35043.84 33869.13 346
PM-MVS46.92 32343.76 32756.41 33552.18 36532.26 35363.21 33638.18 36937.99 34340.78 33666.20 3335.09 37165.42 35448.19 25641.99 34271.54 343
RPSCF45.77 32444.13 32650.68 34057.67 36129.66 35754.92 35345.25 36526.69 36045.92 31875.92 27817.43 34445.70 36927.44 34245.95 33476.67 307
pmmvs345.53 32541.55 32857.44 33348.97 36839.68 32770.06 31957.66 35328.32 35934.06 35257.29 3548.50 36366.85 35334.86 31434.26 35665.80 353
N_pmnet41.25 32639.77 32945.66 34468.50 3260.82 38372.51 3040.38 38335.61 35135.26 35061.51 34420.07 33367.74 35223.51 35240.63 34468.42 349
TDRefinement40.91 32738.37 33048.55 34250.45 36633.03 35058.98 34750.97 36128.50 35829.89 36067.39 3316.21 37054.51 36217.67 36335.25 35258.11 359
DSMNet-mixed38.35 32835.36 33147.33 34348.11 36914.91 37637.87 36536.60 37119.18 36534.37 35159.56 35015.53 35053.01 36420.14 35946.89 33174.07 327
FPMVS35.40 32933.67 33240.57 34746.34 37028.74 36241.05 36257.05 35420.37 36422.27 36553.38 3586.87 36644.94 3708.62 36947.11 32948.01 364
ANet_high34.39 33029.59 33648.78 34130.34 37622.28 36855.53 35063.79 34638.11 34215.47 36736.56 3656.94 36559.98 35713.93 3665.64 37664.08 355
EGC-MVSNET33.75 33130.42 33543.75 34564.94 34436.21 34060.47 34540.70 3680.02 3770.10 37853.79 3577.39 36460.26 35611.09 36835.23 35334.79 366
new_pmnet33.56 33231.89 33438.59 34849.01 36720.42 37151.01 35437.92 37020.58 36223.45 36446.79 3596.66 36749.28 36720.00 36031.57 36146.09 365
LF4IMVS33.04 33332.55 33334.52 35140.96 37122.03 36944.45 35935.62 37220.42 36328.12 36262.35 3435.03 37231.88 37521.61 35634.42 35449.63 363
LCM-MVSNet28.07 33423.85 33940.71 34627.46 37918.93 37330.82 36746.19 36212.76 36916.40 36634.70 3671.90 37848.69 36820.25 35824.22 36554.51 361
Gipumacopyleft27.47 33524.26 33837.12 35060.55 35829.17 36011.68 37160.00 35114.18 36810.52 37215.12 3732.20 37763.01 3558.39 37035.65 35019.18 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMMVS226.71 33622.98 34037.87 34936.89 3738.51 38042.51 36129.32 37719.09 36613.01 36937.54 3612.23 37653.11 36314.54 36511.71 36951.99 362
PMVScopyleft19.57 2225.07 33722.43 34132.99 35323.12 38022.98 36640.98 36335.19 37315.99 36711.95 37135.87 3661.47 38049.29 3665.41 37431.90 36026.70 368
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test_method24.09 33821.07 34233.16 35227.67 3788.35 38126.63 36835.11 3743.40 37414.35 36836.98 3633.46 37535.31 37419.08 36222.95 36655.81 360
E-PMN19.16 33918.40 34321.44 35536.19 37413.63 37747.59 35530.89 37510.73 3705.91 37516.59 3713.66 37439.77 3715.95 3738.14 37110.92 371
EMVS18.42 34017.66 34420.71 35634.13 37512.64 37846.94 35629.94 37610.46 3725.58 37614.93 3744.23 37338.83 3725.24 3757.51 37310.67 372
cdsmvs_eth3d_5k18.33 34124.44 3370.00 3620.00 3840.00 3850.00 37389.40 180.00 3780.00 38192.02 3938.55 1790.00 3790.00 3790.00 3770.00 377
MVEpermissive16.60 2317.34 34213.39 34529.16 35428.43 37719.72 37213.73 37023.63 3787.23 3737.96 37321.41 3690.80 38136.08 3736.97 37110.39 37031.69 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tmp_tt9.44 34310.68 3465.73 3592.49 3824.21 38210.48 37218.04 3790.34 37612.59 37020.49 37011.39 3567.03 37813.84 3676.46 3755.95 373
wuyk23d9.11 3448.77 34810.15 35840.18 37216.76 37520.28 3691.01 3822.58 3752.66 3770.98 3770.23 38212.49 3774.08 3766.90 3741.19 374
ab-mvs-re7.68 34510.24 3470.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 38192.12 360.00 3830.00 3790.00 3790.00 3770.00 377
testmvs6.14 3468.18 3490.01 3600.01 3830.00 38573.40 2990.00 3840.00 3780.02 3790.15 3780.00 3830.00 3790.02 3770.00 3770.02 375
test1236.01 3478.01 3500.01 3600.00 3840.01 38471.93 3120.00 3840.00 3780.02 3790.11 3790.00 3830.00 3790.02 3770.00 3770.02 375
pcd_1.5k_mvsjas3.15 3484.20 3510.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 38037.77 1850.00 3790.00 3790.00 3770.00 377
test_blank0.00 3490.00 3520.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 3800.00 3830.00 3790.00 3790.00 3770.00 377
uanet_test0.00 3490.00 3520.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 3800.00 3830.00 3790.00 3790.00 3770.00 377
DCPMVS0.00 3490.00 3520.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 3800.00 3830.00 3790.00 3790.00 3770.00 377
sosnet-low-res0.00 3490.00 3520.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 3800.00 3830.00 3790.00 3790.00 3770.00 377
sosnet0.00 3490.00 3520.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 3800.00 3830.00 3790.00 3790.00 3770.00 377
uncertanet0.00 3490.00 3520.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 3800.00 3830.00 3790.00 3790.00 3770.00 377
Regformer0.00 3490.00 3520.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 3800.00 3830.00 3790.00 3790.00 3770.00 377
uanet0.00 3490.00 3520.00 3620.00 3840.00 3850.00 3730.00 3840.00 3780.00 3810.00 3800.00 3830.00 3790.00 3790.00 3770.00 377
FOURS183.24 11249.90 19784.98 13778.76 23847.71 29673.42 53
MSC_two_6792asdad81.53 1591.77 456.03 4491.10 696.22 881.46 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 4491.10 696.22 881.46 2186.80 2892.34 31
test_one_060189.39 2457.29 2288.09 5057.21 21882.06 1193.39 1354.94 25
eth-test20.00 384
eth-test0.00 384
ZD-MVS89.55 1653.46 10684.38 13157.02 22073.97 4791.03 5944.57 11191.17 7575.41 5981.78 75
RE-MVS-def66.66 18680.96 17048.14 24181.54 22976.98 27246.42 30862.75 16989.42 10229.28 27860.52 16572.06 16383.19 227
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 4692.48 394.01 667.21 295.10 1689.82 192.55 394.06 3
test_241102_TWO88.76 3657.50 21383.60 694.09 456.14 1996.37 682.28 1487.43 2092.55 26
test_241102_ONE89.48 1956.89 2788.94 2857.53 21184.61 493.29 1658.81 1296.45 1
9.1478.19 2585.67 5888.32 5488.84 3359.89 15574.58 4392.62 2746.80 7992.66 4381.40 2385.62 41
save fliter85.35 6956.34 3889.31 3981.46 18761.55 127
test_0728_THIRD58.00 19881.91 1293.64 1156.54 1696.44 281.64 1986.86 2592.23 33
test_0728_SECOND82.20 989.50 1757.73 1392.34 588.88 3096.39 481.68 1687.13 2192.47 27
test072689.40 2257.45 1992.32 788.63 3957.71 20783.14 993.96 755.17 21
GSMVS88.13 137
test_part289.33 2555.48 5382.27 10
sam_mvs138.86 17788.13 137
sam_mvs35.99 221
ambc62.06 31553.98 36429.38 35935.08 36679.65 21841.37 33359.96 3486.27 36982.15 27535.34 30838.22 34974.65 324
MTGPAbinary81.31 190
test_post170.84 31714.72 37534.33 23483.86 26148.80 251
test_post16.22 37237.52 19384.72 256
patchmatchnet-post59.74 34938.41 18079.91 298
GG-mvs-BLEND77.77 8486.68 4750.61 17568.67 32588.45 4668.73 9687.45 13759.15 1190.67 9054.83 21287.67 1792.03 39
MTMP87.27 7815.34 380
gm-plane-assit83.24 11254.21 9070.91 1288.23 12595.25 1566.37 115
test9_res78.72 3585.44 4491.39 57
TEST985.68 5655.42 5487.59 6784.00 14257.72 20672.99 5790.98 6144.87 10688.58 150
test_885.72 5555.31 5887.60 6483.88 14557.84 20472.84 6190.99 6044.99 10388.34 160
agg_prior275.65 5485.11 4891.01 68
agg_prior85.64 5954.92 7283.61 15272.53 6588.10 170
TestCases55.32 33665.08 34237.50 33654.25 35835.45 35233.42 35572.82 2999.98 35959.33 35824.13 35043.84 33869.13 346
test_prior456.39 3787.15 81
test_prior289.04 4361.88 12273.55 5091.46 5548.01 6674.73 6385.46 42
test_prior78.39 6986.35 4954.91 7485.45 9589.70 11790.55 78
旧先验281.73 22345.53 31474.66 3970.48 34958.31 185
新几何281.61 227
新几何173.30 19283.10 11553.48 10571.43 32345.55 31366.14 11887.17 14333.88 24080.54 28848.50 25480.33 9085.88 179
旧先验181.57 15647.48 24971.83 31788.66 11636.94 20478.34 11088.67 126
无先验85.19 12578.00 25449.08 29085.13 25052.78 22887.45 150
原ACMM283.77 171
原ACMM176.13 12784.89 7954.59 8485.26 10651.98 27366.70 10987.07 14540.15 16689.70 11751.23 23885.06 4984.10 205
test22279.36 19550.97 17177.99 27167.84 33642.54 33362.84 16886.53 15230.26 27176.91 12085.23 191
testdata277.81 31645.64 271
segment_acmp44.97 105
testdata67.08 28577.59 23045.46 28069.20 33444.47 32171.50 8088.34 12131.21 26470.76 34852.20 23475.88 12885.03 194
testdata177.55 27464.14 82
test1279.24 3986.89 4556.08 4385.16 11172.27 7147.15 7691.10 7885.93 3790.54 81
plane_prior777.95 22548.46 234
plane_prior678.42 22049.39 20736.04 219
plane_prior582.59 17088.30 16365.46 12472.34 16084.49 200
plane_prior483.28 190
plane_prior348.95 21664.01 8562.15 174
plane_prior285.76 10963.60 95
plane_prior178.31 222
plane_prior49.57 20187.43 7164.57 7772.84 156
n20.00 384
nn0.00 384
door-mid41.31 367
lessismore_v067.98 27864.76 34541.25 32045.75 36436.03 34865.63 33619.29 33684.11 26035.67 30521.24 36778.59 287
LGP-MVS_train72.02 21774.42 27348.60 22680.64 20054.69 25253.75 27383.83 18025.73 30186.98 20060.33 16964.71 21080.48 271
test1184.25 136
door43.27 366
HQP5-MVS51.56 159
HQP-NCC79.02 20388.00 5765.45 6464.48 143
ACMP_Plane79.02 20388.00 5765.45 6464.48 143
BP-MVS66.70 112
HQP4-MVS64.47 14688.61 14984.91 197
HQP3-MVS83.68 14873.12 152
HQP2-MVS37.35 196
NP-MVS78.76 20850.43 18185.12 167
MDTV_nov1_ep13_2view43.62 29871.13 31654.95 24959.29 20336.76 20746.33 26887.32 152
MDTV_nov1_ep1361.56 24281.68 14955.12 6572.41 30578.18 25059.19 17358.85 21269.29 32434.69 23186.16 22436.76 30362.96 232
ACMMP++_ref63.20 228
ACMMP++59.38 253
Test By Simon39.38 172
ITE_SJBPF51.84 33958.03 35931.94 35553.57 36036.67 34741.32 33475.23 28211.17 35751.57 36525.81 34748.04 32272.02 340
DeepMVS_CXcopyleft13.10 35721.34 3818.99 37910.02 38110.59 3717.53 37430.55 3681.82 37914.55 3766.83 3727.52 37215.75 370