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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort by
SMA-MVScopyleft80.28 680.39 779.95 386.60 2561.95 2286.33 1385.75 2662.49 6682.20 1592.28 156.53 3589.70 1579.85 391.48 188.19 16
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
DVP-MVS++81.67 182.40 179.47 987.24 1459.15 6888.18 187.15 665.04 2084.26 591.86 667.01 190.84 379.48 491.38 288.42 9
PC_three_145255.09 20684.46 489.84 4966.68 589.41 1774.24 3791.38 288.42 9
OPU-MVS79.83 687.54 1160.93 4087.82 789.89 4767.01 190.33 1173.16 4991.15 488.23 14
SED-MVS81.56 282.30 279.32 1287.77 458.90 7787.82 786.78 1464.18 3585.97 191.84 866.87 390.83 578.63 1590.87 588.23 14
IU-MVS87.77 459.15 6885.53 3053.93 22384.64 379.07 990.87 588.37 11
test_241102_TWO86.73 1664.18 3584.26 591.84 865.19 690.83 578.63 1590.70 787.65 36
MSC_two_6792asdad79.95 387.24 1461.04 3685.62 2890.96 179.31 790.65 887.85 27
No_MVS79.95 387.24 1461.04 3685.62 2890.96 179.31 790.65 887.85 27
test_0728_THIRD65.04 2083.82 892.00 364.69 1090.75 879.48 490.63 1088.09 19
DVP-MVScopyleft80.84 481.64 378.42 3687.75 759.07 7287.85 585.03 3864.26 3283.82 892.00 364.82 890.75 878.66 1390.61 1185.45 114
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_SECOND79.19 1587.82 359.11 7187.85 587.15 690.84 378.66 1390.61 1187.62 38
ACMMP_NAP78.77 1578.78 1578.74 3085.44 5261.04 3683.84 5385.16 3562.88 5778.10 2891.26 1352.51 7888.39 3079.34 690.52 1386.78 67
HPM-MVS++copyleft79.88 880.14 879.10 2088.17 164.80 186.59 1283.70 6665.37 1578.78 2590.64 1958.63 2387.24 5379.00 1090.37 1485.26 123
xxxxxxxxxxxxxcwj78.37 2178.25 2378.76 2986.17 3661.30 3183.98 4979.95 14759.00 12979.16 2090.75 1757.96 2587.09 6077.08 2390.18 1587.87 25
SF-MVS78.82 1379.22 1277.60 4982.88 8457.83 9384.99 3288.13 361.86 7979.16 2090.75 1757.96 2587.09 6077.08 2390.18 1587.87 25
ETH3 D test640079.14 1179.32 1078.61 3286.34 3158.11 8984.65 3487.66 458.56 14178.87 2489.54 5363.67 1389.57 1674.60 3689.98 1788.14 17
ETH3D-3000-0.178.58 1678.91 1477.61 4883.06 7957.86 9284.14 4688.31 160.37 10179.14 2290.35 2957.76 2887.00 6377.16 2289.90 1887.97 22
ETH3D cwj APD-0.1678.02 2578.13 2577.71 4782.10 8958.65 8282.72 7187.55 558.33 14678.05 3090.06 4058.35 2487.65 4976.15 2889.86 1986.82 64
CNVR-MVS79.84 979.97 979.45 1087.90 262.17 2084.37 3785.03 3866.96 577.58 3290.06 4059.47 2089.13 2278.67 1289.73 2087.03 58
PHI-MVS75.87 5175.36 5277.41 5280.62 11655.91 12784.28 4085.78 2556.08 18673.41 7286.58 9850.94 10088.54 2870.79 6589.71 2187.79 31
DPE-MVScopyleft80.56 580.98 579.29 1487.27 1360.56 4885.71 2686.42 1863.28 4883.27 1391.83 1064.96 790.47 1076.41 2789.67 2286.84 63
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
MP-MVS-pluss78.35 2278.46 1878.03 4384.96 6059.52 6182.93 6685.39 3162.15 7176.41 3691.51 1152.47 8086.78 6980.66 289.64 2387.80 30
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ZNCC-MVS78.82 1378.67 1779.30 1386.43 3062.05 2186.62 1186.01 2363.32 4775.08 4390.47 2753.96 6288.68 2776.48 2689.63 2487.16 55
9.1478.75 1683.10 7884.15 4488.26 259.90 11378.57 2790.36 2857.51 3286.86 6677.39 1889.52 25
DeepC-MVS69.38 278.56 1878.14 2479.83 683.60 7261.62 2684.17 4386.85 1063.23 5073.84 6790.25 3557.68 2989.96 1374.62 3589.03 2687.89 23
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SteuartSystems-ACMMP79.48 1079.31 1179.98 283.01 8262.18 1987.60 985.83 2466.69 1078.03 3190.98 1454.26 5890.06 1278.42 1789.02 2787.69 34
Skip Steuart: Steuart Systems R&D Blog.
test_prior376.89 4076.96 3576.69 6384.20 6957.27 10181.75 8684.88 4160.37 10175.01 4489.06 5956.22 3986.43 8372.19 5388.96 2886.38 73
test_prior281.75 8660.37 10175.01 4489.06 5956.22 3972.19 5388.96 28
DPM-MVS75.47 5575.00 5476.88 5981.38 10359.16 6779.94 11185.71 2756.59 17372.46 9186.76 8856.89 3387.86 4566.36 9688.91 3083.64 178
DeepPCF-MVS69.58 179.03 1279.00 1379.13 1884.92 6460.32 5183.03 6385.33 3362.86 5880.17 1790.03 4361.76 1488.95 2474.21 3888.67 3188.12 18
MSP-MVS81.06 381.40 480.02 186.21 3462.73 1286.09 1786.83 1265.51 1483.81 1090.51 2363.71 1289.23 2081.51 188.44 3288.09 19
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
CDPH-MVS76.31 4475.67 5178.22 4085.35 5559.14 7081.31 9584.02 5456.32 17874.05 6088.98 6253.34 7287.92 4369.23 7588.42 3387.59 39
GST-MVS78.14 2477.85 2778.99 2586.05 4361.82 2585.84 2185.21 3463.56 4474.29 5990.03 4352.56 7788.53 2974.79 3488.34 3486.63 70
train_agg76.27 4576.15 4276.64 6685.58 4961.59 2781.62 8981.26 12355.86 18874.93 4688.81 6553.70 6884.68 12475.24 3288.33 3583.65 177
APDe-MVS80.16 780.59 678.86 2886.64 2360.02 5388.12 386.42 1862.94 5582.40 1492.12 259.64 1889.76 1478.70 1188.32 3686.79 66
test9_res75.28 3188.31 3783.81 165
zzz-MVS77.61 3277.36 3278.35 3786.08 4163.57 283.37 5980.97 13265.13 1875.77 3890.88 1548.63 12086.66 7277.23 1988.17 3884.81 135
MTAPA76.90 3976.42 4178.35 3786.08 4163.57 274.92 20580.97 13265.13 1875.77 3890.88 1548.63 12086.66 7277.23 1988.17 3884.81 135
test1277.76 4684.52 6658.41 8583.36 7772.93 8454.61 5688.05 3988.12 4086.81 65
MP-MVScopyleft78.35 2278.26 2278.64 3186.54 2763.47 586.02 2083.55 7063.89 4073.60 7090.60 2054.85 5486.72 7077.20 2188.06 4185.74 103
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
DeepC-MVS_fast68.24 377.25 3576.63 3979.12 1986.15 3860.86 4184.71 3384.85 4361.98 7873.06 8288.88 6453.72 6789.06 2368.27 7888.04 4287.42 46
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
原ACMM174.69 10085.39 5459.40 6283.42 7451.47 24870.27 11086.61 9648.61 12286.51 8053.85 19287.96 4378.16 264
agg_prior273.09 5087.93 4484.33 147
agg_prior175.94 5076.01 4475.72 8185.04 5759.96 5481.44 9381.04 12956.14 18474.68 5288.90 6353.91 6484.04 13675.01 3387.92 4583.16 192
CSCG76.92 3876.75 3777.41 5283.96 7159.60 5982.95 6486.50 1760.78 9275.27 4184.83 12860.76 1586.56 7767.86 8487.87 4686.06 89
MCST-MVS77.48 3377.45 3077.54 5086.67 2258.36 8683.22 6186.93 956.91 16574.91 4888.19 6959.15 2187.68 4873.67 4587.45 4786.57 71
NCCC78.58 1678.31 2079.39 1187.51 1262.61 1685.20 3184.42 4766.73 974.67 5489.38 5655.30 4789.18 2174.19 3987.34 4886.38 73
testtj78.47 1978.43 1978.61 3286.82 1760.67 4686.07 1885.38 3262.12 7278.65 2690.29 3355.76 4389.31 1973.55 4787.22 4985.84 95
HFP-MVS78.01 2777.65 2879.10 2086.71 2062.81 1086.29 1484.32 4962.82 5973.96 6290.50 2453.20 7388.35 3174.02 4187.05 5086.13 86
#test#77.83 2877.41 3179.10 2086.71 2062.81 1085.69 2784.32 4961.61 8273.96 6290.50 2453.20 7388.35 3173.68 4487.05 5086.13 86
region2R77.67 3177.18 3479.15 1786.76 1862.95 886.29 1484.16 5362.81 6173.30 7490.58 2149.90 10588.21 3573.78 4387.03 5286.29 84
ACMMPR77.71 2977.23 3379.16 1686.75 1962.93 986.29 1484.24 5162.82 5973.55 7190.56 2249.80 10788.24 3474.02 4187.03 5286.32 81
APD-MVScopyleft78.02 2578.04 2677.98 4486.44 2960.81 4385.52 2884.36 4860.61 9479.05 2390.30 3255.54 4688.32 3373.48 4887.03 5284.83 134
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ZD-MVS86.64 2360.38 5082.70 9257.95 15278.10 2890.06 4056.12 4188.84 2674.05 4087.00 55
PGM-MVS76.77 4176.06 4378.88 2786.14 3962.73 1282.55 7583.74 6561.71 8072.45 9390.34 3148.48 12488.13 3672.32 5286.85 5685.78 97
HPM-MVScopyleft77.28 3476.85 3678.54 3485.00 5960.81 4382.91 6785.08 3662.57 6473.09 8189.97 4650.90 10187.48 5175.30 3086.85 5687.33 52
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
TSAR-MVS + MP.78.44 2078.28 2178.90 2684.96 6061.41 2984.03 4783.82 6459.34 12679.37 1989.76 5159.84 1687.62 5076.69 2586.74 5887.68 35
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
XVS77.17 3676.56 4079.00 2386.32 3262.62 1485.83 2283.92 5864.55 2672.17 9490.01 4547.95 12888.01 4071.55 6186.74 5886.37 76
X-MVStestdata70.21 12467.28 16779.00 2386.32 3262.62 1485.83 2283.92 5864.55 2672.17 946.49 37247.95 12888.01 4071.55 6186.74 5886.37 76
3Dnovator+66.72 475.84 5274.57 6179.66 882.40 8759.92 5685.83 2286.32 2066.92 867.80 15889.24 5842.03 19589.38 1864.07 11686.50 6189.69 1
EPNet73.09 8172.16 8575.90 7675.95 22256.28 11883.05 6272.39 25966.53 1265.27 20287.00 8650.40 10385.47 10962.48 13286.32 6285.94 91
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DELS-MVS74.76 6174.46 6275.65 8577.84 18452.25 17875.59 19084.17 5263.76 4173.15 7782.79 16759.58 1986.80 6767.24 9086.04 6387.89 23
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
CP-MVS77.12 3776.68 3878.43 3586.05 4363.18 787.55 1083.45 7362.44 6872.68 8790.50 2448.18 12687.34 5273.59 4685.71 6484.76 139
mPP-MVS76.54 4275.93 4678.34 3986.47 2863.50 485.74 2582.28 9662.90 5671.77 9790.26 3446.61 15186.55 7871.71 5985.66 6584.97 131
DROMVSNet75.84 5275.87 4875.74 8078.86 15552.65 16983.73 5486.08 2263.47 4672.77 8687.25 8553.13 7587.93 4271.97 5685.57 6686.66 69
MSLP-MVS++73.77 7673.47 7574.66 10283.02 8159.29 6682.30 8281.88 10259.34 12671.59 10086.83 8745.94 15583.65 14665.09 11085.22 6781.06 228
SD-MVS77.70 3077.62 2977.93 4584.47 6761.88 2484.55 3583.87 6260.37 10179.89 1889.38 5654.97 5185.58 10376.12 2984.94 6886.33 79
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
3Dnovator64.47 572.49 8871.39 9575.79 7777.70 18658.99 7680.66 10283.15 8462.24 7065.46 19986.59 9742.38 19385.52 10559.59 15684.72 6982.85 198
CS-MVS76.16 4676.00 4576.62 6780.18 12854.35 14984.52 3683.98 5763.24 4973.29 7587.26 8455.11 4986.25 8771.80 5884.65 7089.26 4
CS-MVS-test76.07 4875.85 4976.73 6280.33 12054.44 14782.95 6486.18 2163.54 4573.32 7384.50 13855.21 4886.44 8271.92 5784.65 7089.32 3
CANet76.46 4375.93 4678.06 4281.29 10457.53 9882.35 7783.31 7967.78 370.09 11186.34 10354.92 5288.90 2572.68 5184.55 7287.76 33
LFMVS71.78 9971.59 9072.32 16383.40 7646.38 25179.75 11671.08 26664.18 3572.80 8588.64 6842.58 19083.72 14457.41 16584.49 7386.86 62
TSAR-MVS + GP.74.90 5974.15 6677.17 5682.00 9158.77 8081.80 8578.57 17258.58 13974.32 5884.51 13755.94 4287.22 5467.11 9184.48 7485.52 110
test250665.33 21964.61 21267.50 24079.46 14134.19 34874.43 21551.92 35558.72 13566.75 17588.05 7325.99 33780.92 20851.94 20884.25 7587.39 47
ECVR-MVScopyleft67.72 17867.51 15868.35 23379.46 14136.29 33974.79 20866.93 29758.72 13567.19 16788.05 7336.10 25581.38 19552.07 20684.25 7587.39 47
MAR-MVS71.51 10370.15 11575.60 8781.84 9459.39 6381.38 9482.90 8954.90 21368.08 15078.70 25247.73 13085.51 10651.68 21384.17 7781.88 213
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
API-MVS72.17 9471.41 9474.45 11181.95 9357.22 10384.03 4780.38 14259.89 11668.40 14182.33 17949.64 10887.83 4651.87 20984.16 7878.30 262
test111167.21 18567.14 17467.42 24279.24 14634.76 34473.89 22765.65 30458.71 13766.96 17187.95 7536.09 25680.53 21652.03 20783.79 7986.97 59
IS-MVSNet71.57 10271.00 10373.27 14478.86 15545.63 26480.22 10778.69 16964.14 3866.46 18187.36 8149.30 11185.60 10150.26 22083.71 8088.59 7
UA-Net73.13 8072.93 8073.76 12483.58 7351.66 18678.75 12777.66 19367.75 472.61 8989.42 5449.82 10683.29 15253.61 19583.14 8186.32 81
MG-MVS73.96 7373.89 6974.16 11685.65 4749.69 21581.59 9181.29 12261.45 8371.05 10288.11 7051.77 8987.73 4761.05 14483.09 8285.05 128
OpenMVScopyleft61.03 968.85 15067.56 15472.70 15574.26 25253.99 15181.21 9681.34 12052.70 23462.75 23585.55 12138.86 22984.14 13448.41 23583.01 8379.97 245
SR-MVS76.13 4775.70 5077.40 5485.87 4561.20 3385.52 2882.19 9759.99 11275.10 4290.35 2947.66 13286.52 7971.64 6082.99 8484.47 145
VDDNet71.81 9871.33 9773.26 14582.80 8547.60 24278.74 12875.27 22659.59 12272.94 8389.40 5541.51 20783.91 14158.75 16082.99 8488.26 12
MVS_111021_HR74.02 7273.46 7675.69 8483.01 8260.63 4777.29 15778.40 18361.18 8770.58 10585.97 11254.18 6084.00 14067.52 8882.98 8682.45 204
ETV-MVS74.46 6773.84 7076.33 7279.27 14555.24 13979.22 12485.00 4064.97 2472.65 8879.46 24453.65 7187.87 4467.45 8982.91 8785.89 94
HPM-MVS_fast74.30 7073.46 7676.80 6184.45 6859.04 7483.65 5681.05 12860.15 10970.43 10689.84 4941.09 21385.59 10267.61 8782.90 8885.77 100
ACMMPcopyleft76.02 4975.33 5378.07 4185.20 5661.91 2385.49 3084.44 4663.04 5369.80 12189.74 5245.43 16487.16 5772.01 5582.87 8985.14 124
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
APD-MVS_3200maxsize74.96 5874.39 6476.67 6582.20 8858.24 8883.67 5583.29 8058.41 14373.71 6890.14 3745.62 15785.99 9269.64 7182.85 9085.78 97
casdiffmvs74.80 6074.89 5874.53 10975.59 23050.37 20378.17 13985.06 3762.80 6274.40 5787.86 7657.88 2783.61 14769.46 7482.79 9189.59 2
baseline74.61 6574.70 6074.34 11375.70 22649.99 21077.54 15084.63 4562.73 6373.98 6187.79 7857.67 3083.82 14369.49 7282.74 9289.20 5
test117275.36 5774.81 5977.02 5885.47 5160.79 4583.94 5281.63 10959.52 12374.66 5590.18 3644.74 17185.84 9770.63 6782.52 9384.42 146
VDD-MVS72.50 8772.09 8673.75 12681.58 9749.69 21577.76 14577.63 19463.21 5173.21 7689.02 6142.14 19483.32 15161.72 13982.50 9488.25 13
CLD-MVS73.33 7872.68 8275.29 9378.82 15753.33 16178.23 13884.79 4461.30 8670.41 10781.04 20752.41 8187.12 5864.61 11582.49 9585.41 118
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
canonicalmvs74.67 6474.98 5673.71 12878.94 15450.56 20180.23 10683.87 6260.30 10777.15 3386.56 9959.65 1782.00 18366.01 10082.12 9688.58 8
MVS67.37 18366.33 18970.51 20175.46 23250.94 19173.95 22281.85 10441.57 33662.54 24078.57 25747.98 12785.47 10952.97 20082.05 9775.14 296
patch_mono-269.85 13171.09 10166.16 25779.11 15154.80 14471.97 25374.31 24253.50 22770.90 10384.17 14257.63 3163.31 32866.17 9782.02 9880.38 238
alignmvs73.86 7573.99 6773.45 13878.20 17350.50 20278.57 13282.43 9459.40 12476.57 3486.71 9256.42 3881.23 20065.84 10281.79 9988.62 6
112168.53 16267.16 17372.63 15685.64 4861.14 3473.95 22266.46 30044.61 31270.28 10986.68 9341.42 20880.78 21253.62 19381.79 9975.97 287
SR-MVS-dyc-post74.57 6673.90 6876.58 6883.49 7459.87 5784.29 3881.36 11658.07 14973.14 7890.07 3844.74 17185.84 9768.20 7981.76 10184.03 156
RE-MVS-def73.71 7283.49 7459.87 5784.29 3881.36 11658.07 14973.14 7890.07 3843.06 18768.20 7981.76 10184.03 156
新几何170.76 19585.66 4661.13 3566.43 30144.68 31170.29 10886.64 9441.29 21075.23 27949.72 22481.75 10375.93 289
Vis-MVSNetpermissive72.18 9371.37 9674.61 10581.29 10455.41 13780.90 9878.28 18560.73 9369.23 13288.09 7144.36 17782.65 17257.68 16381.75 10385.77 100
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
VNet69.68 13670.19 11468.16 23579.73 13641.63 29970.53 27477.38 19960.37 10170.69 10486.63 9551.08 9777.09 26753.61 19581.69 10585.75 102
abl_674.34 6873.50 7376.86 6082.43 8660.16 5283.48 5881.86 10358.81 13373.95 6489.86 4841.87 19886.62 7467.98 8381.23 10683.80 169
OPM-MVS74.73 6374.25 6576.19 7380.81 11259.01 7582.60 7483.64 6763.74 4272.52 9087.49 7947.18 14285.88 9669.47 7380.78 10783.66 176
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
旧先验183.04 8053.15 16367.52 29187.85 7744.08 17880.76 10878.03 269
PAPM_NR72.63 8671.80 8875.13 9481.72 9553.42 16079.91 11383.28 8159.14 12866.31 18585.90 11451.86 8886.06 8957.45 16480.62 10985.91 93
Vis-MVSNet (Re-imp)63.69 23363.88 21763.14 28574.75 24131.04 35971.16 26563.64 31756.32 17859.80 26684.99 12644.51 17475.46 27839.12 30180.62 10982.92 195
HQP_MVS74.31 6973.73 7176.06 7481.41 10156.31 11684.22 4184.01 5564.52 2869.27 12986.10 10845.26 16887.21 5568.16 8180.58 11184.65 140
plane_prior584.01 5587.21 5568.16 8180.58 11184.65 140
UGNet68.81 15167.39 16273.06 14778.33 17054.47 14679.77 11575.40 22560.45 9763.22 22984.40 13932.71 29180.91 20951.71 21280.56 11383.81 165
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
plane_prior56.31 11683.58 5763.19 5280.48 114
Regformer-175.47 5574.93 5777.09 5780.43 11857.70 9679.50 12182.13 9867.84 175.73 4080.75 21756.50 3686.07 8871.07 6480.38 11587.50 42
Regformer-275.63 5474.99 5577.54 5080.43 11858.32 8779.50 12182.92 8767.84 175.94 3780.75 21755.73 4486.80 6771.44 6380.38 11587.50 42
HQP3-MVS83.90 6080.35 117
HQP-MVS73.45 7772.80 8175.40 8980.66 11354.94 14082.31 7983.90 6062.10 7367.85 15385.54 12245.46 16286.93 6467.04 9280.35 11784.32 148
PCF-MVS61.88 870.95 11069.49 12475.35 9077.63 18955.71 12976.04 18581.81 10550.30 26069.66 12285.40 12552.51 7884.89 12051.82 21080.24 11985.45 114
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
DP-MVS Recon72.15 9670.73 10676.40 7086.57 2657.99 9181.15 9782.96 8657.03 16266.78 17385.56 12044.50 17588.11 3751.77 21180.23 12083.10 193
CPTT-MVS72.78 8372.08 8774.87 9884.88 6561.41 2984.15 4477.86 18955.27 20167.51 16388.08 7241.93 19781.85 18569.04 7780.01 12181.35 221
114514_t70.83 11169.56 12274.64 10486.21 3454.63 14582.34 7881.81 10548.22 27963.01 23285.83 11640.92 21487.10 5957.91 16279.79 12282.18 207
test_yl69.69 13469.13 12971.36 18178.37 16845.74 26074.71 20980.20 14457.91 15470.01 11683.83 15142.44 19182.87 16454.97 18179.72 12385.48 112
DCV-MVSNet69.69 13469.13 12971.36 18178.37 16845.74 26074.71 20980.20 14457.91 15470.01 11683.83 15142.44 19182.87 16454.97 18179.72 12385.48 112
MVS_Test72.45 8972.46 8472.42 16274.88 23848.50 23076.28 17883.14 8559.40 12472.46 9184.68 13055.66 4581.12 20165.98 10179.66 12587.63 37
PS-MVSNAJ70.51 11769.70 12172.93 14981.52 9855.79 12874.92 20579.00 16255.04 21169.88 11978.66 25347.05 14482.19 18061.61 14079.58 12680.83 231
PVSNet_Blended68.59 15767.72 15171.19 18677.03 20450.57 19972.51 24581.52 11051.91 24164.22 22477.77 26949.13 11582.87 16455.82 17379.58 12680.14 242
EPP-MVSNet72.16 9571.31 9874.71 9978.68 16149.70 21382.10 8381.65 10860.40 9865.94 19085.84 11551.74 9086.37 8555.93 17279.55 12888.07 21
xiu_mvs_v2_base70.52 11669.75 11972.84 15181.21 10755.63 13275.11 19978.92 16354.92 21269.96 11879.68 23947.00 14882.09 18261.60 14179.37 12980.81 232
MVSFormer71.50 10470.38 11274.88 9778.76 15857.15 10882.79 6878.48 17651.26 25269.49 12483.22 16243.99 18083.24 15366.06 9879.37 12984.23 151
lupinMVS69.57 13968.28 14573.44 13978.76 15857.15 10876.57 17173.29 25346.19 30069.49 12482.18 18243.99 18079.23 23464.66 11379.37 12983.93 159
PAPM67.92 17566.69 17971.63 17478.09 17749.02 22377.09 16181.24 12551.04 25460.91 25683.98 14847.71 13184.99 11540.81 29379.32 13280.90 230
FIs70.82 11271.43 9368.98 22578.33 17038.14 32076.96 16483.59 6961.02 8867.33 16586.73 9055.07 5081.64 18954.61 18779.22 13387.14 56
jason69.65 13768.39 14473.43 14078.27 17256.88 11277.12 16073.71 25046.53 29769.34 12883.22 16243.37 18479.18 23564.77 11279.20 13484.23 151
jason: jason.
PAPR71.72 10170.82 10574.41 11281.20 10851.17 18979.55 12083.33 7855.81 19166.93 17284.61 13350.95 9986.06 8955.79 17579.20 13486.00 90
EIA-MVS71.78 9970.60 10775.30 9279.85 13253.54 15777.27 15883.26 8257.92 15366.49 18079.39 24552.07 8686.69 7160.05 15179.14 13685.66 105
Effi-MVS+73.31 7972.54 8375.62 8677.87 18353.64 15479.62 11979.61 15361.63 8172.02 9682.61 17256.44 3785.97 9463.99 11979.07 13787.25 53
gg-mvs-nofinetune57.86 27956.43 28362.18 29172.62 27035.35 34166.57 29656.33 34550.65 25757.64 28657.10 35730.65 30376.36 27437.38 30978.88 13874.82 303
CDS-MVSNet66.80 19865.37 20471.10 19078.98 15353.13 16573.27 23571.07 26752.15 24064.72 21580.23 22843.56 18377.10 26645.48 25978.88 13883.05 194
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
AdaColmapbinary69.99 12868.66 13873.97 11984.94 6257.83 9382.63 7378.71 16856.28 18064.34 21984.14 14341.57 20387.06 6246.45 24778.88 13877.02 279
Anonymous20240521166.84 19765.99 19669.40 22080.19 12642.21 29171.11 26771.31 26558.80 13467.90 15186.39 10229.83 31179.65 22749.60 22778.78 14186.33 79
CANet_DTU68.18 16967.71 15369.59 21674.83 23946.24 25478.66 13076.85 20659.60 11963.45 22882.09 18835.25 26177.41 26359.88 15378.76 14285.14 124
test22283.14 7758.68 8172.57 24463.45 31841.78 33267.56 16286.12 10737.13 24878.73 14374.98 300
TAMVS66.78 19965.27 20771.33 18479.16 15053.67 15373.84 22969.59 27952.32 23965.28 20181.72 19444.49 17677.40 26442.32 28478.66 14482.92 195
PVSNet_Blended_VisFu71.45 10570.39 11174.65 10382.01 9058.82 7979.93 11280.35 14355.09 20665.82 19582.16 18549.17 11482.64 17360.34 14978.62 14582.50 203
testdata64.66 27581.52 9852.93 16665.29 30846.09 30173.88 6687.46 8038.08 23866.26 32053.31 19878.48 14674.78 304
QAPM70.05 12668.81 13573.78 12276.54 21453.43 15983.23 6083.48 7152.89 23365.90 19286.29 10441.55 20686.49 8151.01 21578.40 14781.42 217
FC-MVSNet-test69.80 13270.58 10967.46 24177.61 19434.73 34576.05 18483.19 8360.84 9065.88 19386.46 10054.52 5780.76 21452.52 20278.12 14886.91 60
LCM-MVSNet-Re61.88 25461.35 24763.46 28174.58 24431.48 35861.42 32458.14 33858.71 13753.02 32579.55 24243.07 18676.80 27045.69 25477.96 14982.11 210
diffmvs70.69 11470.43 11071.46 17669.45 31448.95 22572.93 23878.46 17857.27 15971.69 9883.97 14951.48 9277.92 25670.70 6677.95 15087.53 41
OMC-MVS71.40 10670.60 10773.78 12276.60 21253.15 16379.74 11779.78 14958.37 14468.75 13686.45 10145.43 16480.60 21562.58 13077.73 15187.58 40
MVS_111021_LR69.50 14168.78 13671.65 17378.38 16759.33 6474.82 20770.11 27458.08 14867.83 15784.68 13041.96 19676.34 27565.62 10577.54 15279.30 256
Fast-Effi-MVS+70.28 12369.12 13173.73 12778.50 16451.50 18775.01 20279.46 15756.16 18368.59 13779.55 24253.97 6184.05 13553.34 19777.53 15385.65 106
xiu_mvs_v1_base_debu68.58 15867.28 16772.48 15978.19 17457.19 10575.28 19475.09 23251.61 24370.04 11281.41 20032.79 28779.02 24263.81 12077.31 15481.22 223
xiu_mvs_v1_base68.58 15867.28 16772.48 15978.19 17457.19 10575.28 19475.09 23251.61 24370.04 11281.41 20032.79 28779.02 24263.81 12077.31 15481.22 223
xiu_mvs_v1_base_debi68.58 15867.28 16772.48 15978.19 17457.19 10575.28 19475.09 23251.61 24370.04 11281.41 20032.79 28779.02 24263.81 12077.31 15481.22 223
LPG-MVS_test72.74 8471.74 8975.76 7880.22 12357.51 9982.55 7583.40 7561.32 8466.67 17787.33 8239.15 22686.59 7567.70 8577.30 15783.19 189
LGP-MVS_train75.76 7880.22 12357.51 9983.40 7561.32 8466.67 17787.33 8239.15 22686.59 7567.70 8577.30 15783.19 189
Anonymous2024052969.91 13069.02 13272.56 15780.19 12647.65 24077.56 14980.99 13155.45 20069.88 11986.76 8839.24 22582.18 18154.04 18977.10 15987.85 27
EPNet_dtu61.90 25261.97 24161.68 29472.89 26639.78 30775.85 18865.62 30555.09 20654.56 31179.36 24637.59 24167.02 31539.80 29976.95 16078.25 263
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TAPA-MVS59.36 1066.60 20265.20 20870.81 19476.63 21148.75 22776.52 17380.04 14650.64 25865.24 20684.93 12739.15 22678.54 24836.77 31276.88 16185.14 124
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
Regformer-373.89 7473.28 7875.71 8279.75 13355.48 13678.54 13479.93 14866.58 1173.62 6980.30 22554.87 5384.54 12769.09 7676.84 16287.10 57
Regformer-474.25 7173.48 7476.57 6979.75 13356.54 11578.54 13481.49 11366.93 773.90 6580.30 22553.84 6685.98 9369.76 7076.84 16287.17 54
ACMP63.53 672.30 9171.20 10075.59 8880.28 12157.54 9782.74 7082.84 9160.58 9565.24 20686.18 10639.25 22486.03 9166.95 9476.79 16483.22 187
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
cascas65.98 20963.42 22573.64 13277.26 20052.58 17272.26 24977.21 20248.56 27461.21 25574.60 30432.57 29585.82 9950.38 21976.75 16582.52 202
BH-untuned68.27 16667.29 16671.21 18579.74 13553.22 16276.06 18377.46 19857.19 16066.10 18781.61 19645.37 16683.50 14945.42 26176.68 16676.91 283
ET-MVSNet_ETH3D67.96 17465.72 20074.68 10176.67 21055.62 13375.11 19974.74 23652.91 23260.03 26180.12 22933.68 27782.64 17361.86 13876.34 16785.78 97
ACMM61.98 770.80 11369.73 12074.02 11780.59 11758.59 8382.68 7282.02 10155.46 19967.18 16884.39 14038.51 23183.17 15560.65 14676.10 16880.30 239
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
BH-RMVSNet68.81 15167.42 16172.97 14880.11 12952.53 17374.26 21676.29 21258.48 14268.38 14284.20 14142.59 18983.83 14246.53 24675.91 16982.56 200
GeoE71.01 10970.15 11573.60 13479.57 13952.17 17978.93 12678.12 18658.02 15167.76 16183.87 15052.36 8282.72 17056.90 16775.79 17085.92 92
XVG-OURS68.76 15567.37 16372.90 15074.32 25157.22 10370.09 28078.81 16555.24 20267.79 15985.81 11836.54 25478.28 25162.04 13675.74 17183.19 189
mvs_anonymous68.03 17267.51 15869.59 21672.08 27844.57 27371.99 25275.23 22851.67 24267.06 16982.57 17354.68 5577.94 25556.56 16875.71 17286.26 85
BH-w/o66.85 19665.83 19869.90 21279.29 14352.46 17574.66 21176.65 21054.51 21964.85 21478.12 25945.59 15982.95 16043.26 27675.54 17374.27 309
thisisatest051565.83 21063.50 22472.82 15373.75 25549.50 21871.32 26173.12 25549.39 26763.82 22676.50 28534.95 26584.84 12353.20 19975.49 17484.13 155
LS3D64.71 22562.50 23571.34 18379.72 13755.71 12979.82 11474.72 23748.50 27656.62 29184.62 13233.59 27982.34 17929.65 35075.23 17575.97 287
GG-mvs-BLEND62.34 29071.36 29137.04 32969.20 28757.33 34254.73 30965.48 34930.37 30577.82 25734.82 32574.93 17672.17 330
nrg03072.96 8273.01 7972.84 15175.41 23350.24 20480.02 10982.89 9058.36 14574.44 5686.73 9058.90 2280.83 21065.84 10274.46 17787.44 45
VPA-MVSNet69.02 14869.47 12567.69 23977.42 19741.00 30374.04 21979.68 15160.06 11069.26 13184.81 12951.06 9877.58 26154.44 18874.43 17884.48 144
PS-MVSNAJss72.24 9271.21 9975.31 9178.50 16455.93 12681.63 8882.12 9956.24 18170.02 11585.68 11947.05 14484.34 13165.27 10874.41 17985.67 104
EI-MVSNet-Vis-set72.42 9071.59 9074.91 9678.47 16654.02 15077.05 16279.33 15965.03 2271.68 9979.35 24752.75 7684.89 12066.46 9574.23 18085.83 96
CHOSEN 1792x268865.08 22362.84 23171.82 16881.49 10056.26 11966.32 29974.20 24540.53 34163.16 23178.65 25441.30 20977.80 25845.80 25374.09 18181.40 218
ACMMP++_ref74.07 182
PVSNet_BlendedMVS68.56 16167.72 15171.07 19177.03 20450.57 19974.50 21381.52 11053.66 22664.22 22479.72 23849.13 11582.87 16455.82 17373.92 18379.77 251
CMPMVSbinary42.80 2157.81 28055.97 28563.32 28260.98 35847.38 24464.66 31269.50 28032.06 35546.83 34677.80 26729.50 31371.36 29448.68 23273.75 18471.21 335
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MS-PatchMatch62.42 24661.46 24665.31 27275.21 23652.10 18072.05 25174.05 24646.41 29857.42 28874.36 30534.35 27177.57 26245.62 25673.67 18566.26 349
test-LLR58.15 27758.13 27258.22 31068.57 32044.80 26965.46 30557.92 33950.08 26355.44 29969.82 33432.62 29257.44 34749.66 22573.62 18672.41 326
test-mter56.42 28755.82 28658.22 31068.57 32044.80 26965.46 30557.92 33939.94 34555.44 29969.82 33421.92 35057.44 34749.66 22573.62 18672.41 326
EI-MVSNet-UG-set71.92 9771.06 10274.52 11077.98 18153.56 15676.62 17079.16 16064.40 3071.18 10178.95 25152.19 8484.66 12665.47 10673.57 18885.32 120
TR-MVS66.59 20465.07 20971.17 18879.18 14849.63 21773.48 23275.20 23052.95 23167.90 15180.33 22439.81 21983.68 14543.20 27773.56 18980.20 240
UniMVSNet_ETH3D67.60 18067.07 17569.18 22477.39 19842.29 29074.18 21875.59 22260.37 10166.77 17486.06 11037.64 24078.93 24752.16 20573.49 19086.32 81
ab-mvs66.65 20166.42 18567.37 24376.17 21841.73 29670.41 27776.14 21453.99 22265.98 18983.51 15949.48 10976.24 27648.60 23373.46 19184.14 154
EG-PatchMatch MVS64.71 22562.87 23070.22 20377.68 18753.48 15877.99 14178.82 16453.37 22856.03 29577.41 27224.75 34484.04 13646.37 24873.42 19273.14 316
XVG-OURS-SEG-HR68.81 15167.47 16072.82 15374.40 24956.87 11370.59 27379.04 16154.77 21466.99 17086.01 11139.57 22178.21 25262.54 13173.33 19383.37 182
thres20062.20 24961.16 25165.34 27175.38 23439.99 30569.60 28369.29 28355.64 19761.87 24976.99 27437.07 25078.96 24631.28 34473.28 19477.06 278
thres100view90063.28 23862.41 23665.89 26477.31 19938.66 31672.65 24169.11 28557.07 16162.45 24381.03 20837.01 25179.17 23631.84 33673.25 19579.83 248
tfpn200view963.18 24062.18 23966.21 25676.85 20739.62 30871.96 25469.44 28156.63 16862.61 23879.83 23437.18 24579.17 23631.84 33673.25 19579.83 248
thres40063.31 23662.18 23966.72 24876.85 20739.62 30871.96 25469.44 28156.63 16862.61 23879.83 23437.18 24579.17 23631.84 33673.25 19581.36 219
test_part174.74 6274.42 6375.70 8381.69 9651.26 18883.98 4987.05 865.31 1673.10 8086.20 10553.94 6388.06 3865.32 10773.17 19887.77 32
TESTMET0.1,155.28 29554.90 29256.42 31866.56 33343.67 28065.46 30556.27 34639.18 34753.83 31767.44 34324.21 34555.46 35748.04 23773.11 19970.13 341
thres600view763.30 23762.27 23766.41 25277.18 20138.87 31472.35 24769.11 28556.98 16362.37 24580.96 21037.01 25179.00 24531.43 34373.05 20081.36 219
VPNet67.52 18168.11 14865.74 26679.18 14836.80 33172.17 25072.83 25662.04 7667.79 15985.83 11648.88 11976.60 27251.30 21472.97 20183.81 165
Anonymous2023121169.28 14468.47 14171.73 17080.28 12147.18 24679.98 11082.37 9554.61 21567.24 16684.01 14739.43 22282.41 17855.45 17972.83 20285.62 108
mvs-test170.44 11968.19 14677.18 5576.10 21963.22 680.59 10376.06 21659.83 11766.32 18479.87 23341.56 20485.53 10460.60 14772.77 20382.80 199
GBi-Net67.21 18566.55 18069.19 22177.63 18943.33 28277.31 15477.83 19056.62 17065.04 21082.70 16841.85 19980.33 22147.18 24172.76 20483.92 160
test167.21 18566.55 18069.19 22177.63 18943.33 28277.31 15477.83 19056.62 17065.04 21082.70 16841.85 19980.33 22147.18 24172.76 20483.92 160
FMVSNet366.32 20765.61 20268.46 23176.48 21542.34 28974.98 20477.15 20355.83 19065.04 21081.16 20439.91 21780.14 22547.18 24172.76 20482.90 197
FMVSNet266.93 19566.31 19168.79 22877.63 18942.98 28576.11 18177.47 19656.62 17065.22 20882.17 18441.85 19980.18 22447.05 24472.72 20783.20 188
thisisatest053067.92 17565.78 19974.33 11476.29 21651.03 19076.89 16774.25 24453.67 22565.59 19781.76 19335.15 26285.50 10755.94 17172.47 20886.47 72
PVSNet50.76 1958.40 27457.39 27461.42 29675.53 23144.04 27761.43 32363.45 31847.04 29556.91 28973.61 31127.00 33164.76 32439.12 30172.40 20975.47 294
MIMVSNet57.35 28157.07 27758.22 31074.21 25337.18 32562.46 31960.88 33148.88 27255.29 30275.99 29131.68 30062.04 33331.87 33572.35 21075.43 295
131464.61 22763.21 22768.80 22771.87 28347.46 24373.95 22278.39 18442.88 32959.97 26276.60 28238.11 23779.39 23254.84 18372.32 21179.55 252
FMVSNet166.70 20065.87 19769.19 22177.49 19643.33 28277.31 15477.83 19056.45 17564.60 21882.70 16838.08 23880.33 22146.08 25072.31 21283.92 160
ACMMP++72.16 213
MVP-Stereo65.41 21763.80 21970.22 20377.62 19355.53 13476.30 17778.53 17450.59 25956.47 29378.65 25439.84 21882.68 17144.10 26972.12 21472.44 325
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
HyFIR lowres test65.67 21263.01 22973.67 12979.97 13155.65 13169.07 28875.52 22342.68 33063.53 22777.95 26140.43 21581.64 18946.01 25171.91 21583.73 172
XVG-ACMP-BASELINE64.36 22962.23 23870.74 19672.35 27552.45 17670.80 27278.45 17953.84 22459.87 26481.10 20616.24 35879.32 23355.64 17871.76 21680.47 235
HY-MVS56.14 1364.55 22863.89 21666.55 25174.73 24241.02 30169.96 28174.43 23949.29 26861.66 25180.92 21147.43 13876.68 27144.91 26471.69 21781.94 211
D2MVS62.30 24860.29 25768.34 23466.46 33448.42 23165.70 30273.42 25147.71 28558.16 28375.02 30030.51 30477.71 25953.96 19171.68 21878.90 260
ACMH55.70 1565.20 22163.57 22370.07 20778.07 17852.01 18479.48 12379.69 15055.75 19356.59 29280.98 20927.12 32980.94 20642.90 28171.58 21977.25 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVSTER67.16 19065.58 20371.88 16770.37 30149.70 21370.25 27978.45 17951.52 24669.16 13380.37 22138.45 23282.50 17560.19 15071.46 22083.44 181
EI-MVSNet69.27 14568.44 14371.73 17074.47 24649.39 22075.20 19778.45 17959.60 11969.16 13376.51 28351.29 9382.50 17559.86 15571.45 22183.30 184
LTVRE_ROB55.42 1663.15 24161.23 25068.92 22676.57 21347.80 23759.92 33076.39 21154.35 22158.67 27782.46 17729.44 31481.49 19342.12 28671.14 22277.46 272
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
UniMVSNet (Re)70.63 11570.20 11371.89 16678.55 16345.29 26675.94 18782.92 8763.68 4368.16 14783.59 15753.89 6583.49 15053.97 19071.12 22386.89 61
Effi-MVS+-dtu69.64 13867.53 15775.95 7576.10 21962.29 1880.20 10876.06 21659.83 11765.26 20577.09 27341.56 20484.02 13960.60 14771.09 22481.53 216
NR-MVSNet69.54 14068.85 13471.59 17578.05 17943.81 27974.20 21780.86 13565.18 1762.76 23484.52 13552.35 8383.59 14850.96 21670.78 22587.37 49
v114470.42 12069.31 12773.76 12473.22 25850.64 19877.83 14381.43 11458.58 13969.40 12781.16 20447.53 13585.29 11464.01 11870.64 22685.34 119
jajsoiax68.25 16766.45 18273.66 13075.62 22855.49 13580.82 9978.51 17552.33 23864.33 22084.11 14428.28 32181.81 18763.48 12570.62 22783.67 174
h-mvs3372.71 8571.49 9276.40 7081.99 9259.58 6076.92 16676.74 20960.40 9874.81 4985.95 11345.54 16085.76 10070.41 6870.61 22883.86 164
mvs_tets68.18 16966.36 18873.63 13375.61 22955.35 13880.77 10078.56 17352.48 23764.27 22284.10 14527.45 32781.84 18663.45 12670.56 22983.69 173
UniMVSNet_NR-MVSNet71.11 10771.00 10371.44 17779.20 14744.13 27576.02 18682.60 9366.48 1368.20 14484.60 13456.82 3482.82 16854.62 18570.43 23087.36 51
DU-MVS70.01 12769.53 12371.44 17778.05 17944.13 27575.01 20281.51 11264.37 3168.20 14484.52 13549.12 11782.82 16854.62 18570.43 23087.37 49
v119269.97 12968.68 13773.85 12073.19 25950.94 19177.68 14681.36 11657.51 15768.95 13580.85 21445.28 16785.33 11362.97 12870.37 23285.27 122
PLCcopyleft56.13 1465.09 22263.21 22770.72 19781.04 11054.87 14378.57 13277.47 19648.51 27555.71 29681.89 19033.71 27679.71 22641.66 29070.37 23277.58 271
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
GA-MVS65.53 21563.70 22071.02 19270.87 29348.10 23470.48 27574.40 24056.69 16664.70 21676.77 27833.66 27881.10 20255.42 18070.32 23483.87 163
Fast-Effi-MVS+-dtu67.37 18365.33 20673.48 13772.94 26557.78 9577.47 15276.88 20557.60 15661.97 24776.85 27739.31 22380.49 21954.72 18470.28 23582.17 209
v2v48270.50 11869.45 12673.66 13072.62 27050.03 20977.58 14780.51 14059.90 11369.52 12382.14 18647.53 13584.88 12265.07 11170.17 23686.09 88
IB-MVS56.42 1265.40 21862.73 23373.40 14174.89 23752.78 16873.09 23775.13 23155.69 19458.48 28173.73 31032.86 28686.32 8650.63 21770.11 23781.10 227
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
CNLPA65.43 21664.02 21569.68 21478.73 16058.07 9077.82 14470.71 27051.49 24761.57 25383.58 15838.23 23670.82 29643.90 27070.10 23880.16 241
1112_ss64.00 23163.36 22665.93 26379.28 14442.58 28871.35 26072.36 26046.41 29860.55 25877.89 26546.27 15473.28 28646.18 24969.97 23981.92 212
DP-MVS65.68 21163.66 22271.75 16984.93 6356.87 11380.74 10173.16 25453.06 23059.09 27382.35 17836.79 25385.94 9532.82 33269.96 24072.45 324
tttt051767.83 17765.66 20174.33 11476.69 20950.82 19577.86 14273.99 24754.54 21864.64 21782.53 17535.06 26385.50 10755.71 17669.91 24186.67 68
IterMVS-LS69.22 14768.48 14071.43 17974.44 24849.40 21976.23 17977.55 19559.60 11965.85 19481.59 19851.28 9481.58 19259.87 15469.90 24283.30 184
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v192192069.47 14268.17 14773.36 14273.06 26250.10 20877.39 15380.56 13856.58 17468.59 13780.37 22144.72 17384.98 11762.47 13369.82 24385.00 129
Baseline_NR-MVSNet67.05 19267.56 15465.50 26875.65 22737.70 32475.42 19274.65 23859.90 11368.14 14883.15 16549.12 11777.20 26552.23 20469.78 24481.60 215
ACMH+57.40 1166.12 20864.06 21472.30 16477.79 18552.83 16780.39 10578.03 18757.30 15857.47 28782.55 17427.68 32584.17 13345.54 25769.78 24479.90 246
v124069.24 14667.91 14973.25 14673.02 26449.82 21177.21 15980.54 13956.43 17668.34 14380.51 22043.33 18584.99 11562.03 13769.77 24684.95 132
TranMVSNet+NR-MVSNet70.36 12170.10 11771.17 18878.64 16242.97 28676.53 17281.16 12766.95 668.53 14085.42 12451.61 9183.07 15652.32 20369.70 24787.46 44
v14419269.71 13368.51 13973.33 14373.10 26150.13 20777.54 15080.64 13756.65 16768.57 13980.55 21946.87 14984.96 11962.98 12769.66 24884.89 133
WR-MVS68.47 16368.47 14168.44 23280.20 12539.84 30673.75 23076.07 21564.68 2568.11 14983.63 15650.39 10479.14 24049.78 22169.66 24886.34 78
WTY-MVS59.75 26860.39 25657.85 31472.32 27637.83 32261.05 32864.18 31545.95 30561.91 24879.11 25047.01 14760.88 33642.50 28369.49 25074.83 302
cl2267.47 18266.45 18270.54 20069.85 31046.49 25073.85 22877.35 20055.07 20965.51 19877.92 26347.64 13381.10 20261.58 14269.32 25184.01 158
miper_ehance_all_eth68.03 17267.24 17170.40 20270.54 29746.21 25573.98 22078.68 17055.07 20966.05 18877.80 26752.16 8581.31 19761.53 14369.32 25183.67 174
miper_enhance_ethall67.11 19166.09 19570.17 20669.21 31645.98 25872.85 24078.41 18251.38 24965.65 19675.98 29251.17 9681.25 19860.82 14569.32 25183.29 186
test_djsdf69.45 14367.74 15074.58 10774.57 24554.92 14282.79 6878.48 17651.26 25265.41 20083.49 16038.37 23383.24 15366.06 9869.25 25485.56 109
cl____67.18 18866.26 19369.94 20970.20 30245.74 26073.30 23376.83 20755.10 20465.27 20279.57 24147.39 13980.53 21659.41 15969.22 25583.53 180
DIV-MVS_self_test67.18 18866.26 19369.94 20970.20 30245.74 26073.29 23476.83 20755.10 20465.27 20279.58 24047.38 14080.53 21659.43 15869.22 25583.54 179
c3_l68.33 16567.56 15470.62 19870.87 29346.21 25574.47 21478.80 16656.22 18266.19 18678.53 25851.88 8781.40 19462.08 13469.04 25784.25 150
bset_n11_16_dypcd65.57 21463.69 22171.19 18670.84 29551.79 18571.37 25970.48 27253.33 22965.19 20976.41 28631.46 30181.76 18865.12 10969.04 25780.01 244
CostFormer64.04 23062.51 23468.61 23071.88 28245.77 25971.30 26270.60 27147.55 28764.31 22176.61 28141.63 20279.62 22949.74 22369.00 25980.42 236
tpm262.07 25060.10 25867.99 23672.79 26743.86 27871.05 26966.85 29843.14 32762.77 23375.39 29838.32 23480.80 21141.69 28968.88 26079.32 255
v1070.21 12469.02 13273.81 12173.51 25750.92 19378.74 12881.39 11560.05 11166.39 18381.83 19247.58 13485.41 11262.80 12968.86 26185.09 127
v870.33 12269.28 12873.49 13673.15 26050.22 20578.62 13180.78 13660.79 9166.45 18282.11 18749.35 11084.98 11763.58 12468.71 26285.28 121
v7n69.01 14967.36 16473.98 11872.51 27352.65 16978.54 13481.30 12160.26 10862.67 23681.62 19543.61 18284.49 12857.01 16668.70 26384.79 137
MVS_030458.51 27257.36 27561.96 29370.04 30641.83 29469.40 28665.46 30650.73 25553.30 32474.06 30822.65 34770.18 30342.16 28568.44 26473.86 314
Test_1112_low_res62.32 24761.77 24264.00 27979.08 15239.53 31068.17 29070.17 27343.25 32559.03 27479.90 23244.08 17871.24 29543.79 27268.42 26581.25 222
PMMVS53.96 30053.26 30656.04 31962.60 35150.92 19361.17 32756.09 34732.81 35453.51 32266.84 34534.04 27359.93 34044.14 26868.18 26657.27 357
tfpnnormal62.47 24561.63 24464.99 27474.81 24039.01 31371.22 26373.72 24955.22 20360.21 25980.09 23141.26 21276.98 26930.02 34868.09 26778.97 259
DWT-MVSNet_test61.90 25259.93 25967.83 23771.98 28146.09 25771.03 27069.71 27550.09 26258.51 28070.62 32630.21 30877.63 26049.28 22867.91 26879.78 250
Anonymous2023120655.10 29855.30 29054.48 32669.81 31133.94 35062.91 31862.13 32741.08 33855.18 30375.65 29432.75 29056.59 35230.32 34767.86 26972.91 317
RRT_test8_iter0568.17 17166.86 17772.07 16575.81 22446.33 25276.41 17581.81 10556.43 17666.52 17981.30 20331.90 29984.25 13263.77 12367.83 27085.64 107
V4268.65 15667.35 16572.56 15768.93 31950.18 20672.90 23979.47 15656.92 16469.45 12680.26 22746.29 15382.99 15764.07 11667.82 27184.53 142
MDTV_nov1_ep1357.00 27872.73 26838.26 31965.02 31164.73 31244.74 31055.46 29872.48 31532.61 29470.47 29837.47 30867.75 272
anonymousdsp67.00 19464.82 21173.57 13570.09 30556.13 12176.35 17677.35 20048.43 27764.99 21380.84 21533.01 28480.34 22064.66 11367.64 27384.23 151
OpenMVS_ROBcopyleft52.78 1860.03 26558.14 27165.69 26770.47 29844.82 26875.33 19370.86 26945.04 30856.06 29476.00 28926.89 33279.65 22735.36 32467.29 27472.60 321
XXY-MVS60.68 26261.67 24357.70 31670.43 29938.45 31864.19 31466.47 29948.05 28263.22 22980.86 21349.28 11260.47 33745.25 26367.28 27574.19 310
baseline263.42 23561.26 24969.89 21372.55 27247.62 24171.54 25768.38 28950.11 26154.82 30775.55 29643.06 18780.96 20548.13 23667.16 27681.11 226
AUN-MVS68.45 16466.41 18674.57 10879.53 14057.08 11173.93 22575.23 22854.44 22066.69 17681.85 19137.10 24982.89 16262.07 13566.84 27783.75 171
hse-mvs271.04 10869.86 11874.60 10679.58 13857.12 11073.96 22175.25 22760.40 9874.81 4981.95 18945.54 16082.90 16170.41 6866.83 27883.77 170
F-COLMAP63.05 24260.87 25569.58 21876.99 20653.63 15578.12 14076.16 21347.97 28352.41 32681.61 19627.87 32378.11 25340.07 29666.66 27977.00 280
pm-mvs165.24 22064.97 21066.04 26172.38 27439.40 31172.62 24375.63 22155.53 19862.35 24683.18 16447.45 13776.47 27349.06 23066.54 28082.24 206
v14868.24 16867.19 17271.40 18070.43 29947.77 23975.76 18977.03 20458.91 13167.36 16480.10 23048.60 12381.89 18460.01 15266.52 28184.53 142
eth_miper_zixun_eth67.63 17966.28 19271.67 17271.60 28548.33 23273.68 23177.88 18855.80 19265.91 19178.62 25647.35 14182.88 16359.45 15766.25 28283.81 165
sss56.17 29056.57 28154.96 32366.93 33036.32 33757.94 33661.69 32841.67 33458.64 27875.32 29938.72 23056.25 35342.04 28766.19 28372.31 329
RRT_MVS68.77 15466.71 17874.95 9575.93 22358.55 8480.50 10475.84 21856.09 18568.17 14683.74 15428.50 31982.98 15865.67 10465.91 28483.33 183
COLMAP_ROBcopyleft52.97 1761.27 26158.81 26368.64 22974.63 24352.51 17478.42 13773.30 25249.92 26550.96 33181.51 19923.06 34679.40 23131.63 34065.85 28574.01 312
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CVMVSNet59.63 26959.14 26261.08 29974.47 24638.84 31575.20 19768.74 28731.15 35658.24 28276.51 28332.39 29668.58 30849.77 22265.84 28675.81 290
MSDG61.81 25559.23 26169.55 21972.64 26952.63 17170.45 27675.81 21951.38 24953.70 31876.11 28829.52 31281.08 20437.70 30765.79 28774.93 301
FMVSNet555.86 29154.93 29158.66 30971.05 29236.35 33564.18 31562.48 32546.76 29650.66 33674.73 30325.80 33864.04 32633.11 33165.57 28875.59 293
pmmvs556.47 28655.68 28758.86 30761.41 35536.71 33266.37 29862.75 32340.38 34253.70 31876.62 28034.56 26767.05 31440.02 29865.27 28972.83 319
miper_lstm_enhance62.03 25160.88 25465.49 26966.71 33246.25 25356.29 34275.70 22050.68 25661.27 25475.48 29740.21 21668.03 31056.31 17065.25 29082.18 207
tpm57.34 28258.16 27054.86 32471.80 28434.77 34367.47 29556.04 34848.20 28060.10 26076.92 27537.17 24753.41 36040.76 29465.01 29176.40 286
pmmvs461.48 25959.39 26067.76 23871.57 28653.86 15271.42 25865.34 30744.20 31759.46 26877.92 26335.90 25774.71 28143.87 27164.87 29274.71 305
test_040263.25 23961.01 25269.96 20880.00 13054.37 14876.86 16872.02 26154.58 21758.71 27680.79 21635.00 26484.36 13026.41 35864.71 29371.15 336
CR-MVSNet59.91 26657.90 27365.96 26269.96 30852.07 18165.31 30863.15 32142.48 33159.36 26974.84 30135.83 25870.75 29745.50 25864.65 29475.06 297
RPMNet61.53 25758.42 26770.86 19369.96 30852.07 18165.31 30881.36 11643.20 32659.36 26970.15 33235.37 26085.47 10936.42 31964.65 29475.06 297
pmmvs663.69 23362.82 23266.27 25570.63 29639.27 31273.13 23675.47 22452.69 23559.75 26782.30 18039.71 22077.03 26847.40 23964.35 29682.53 201
Anonymous2024052155.30 29454.41 29657.96 31360.92 36041.73 29671.09 26871.06 26841.18 33748.65 34073.31 31216.93 35759.25 34242.54 28264.01 29772.90 318
WR-MVS_H67.02 19366.92 17667.33 24577.95 18237.75 32377.57 14882.11 10062.03 7762.65 23782.48 17650.57 10279.46 23042.91 28064.01 29784.79 137
test0.0.03 153.32 30753.59 30452.50 33562.81 35029.45 36259.51 33154.11 35250.08 26354.40 31374.31 30632.62 29255.92 35530.50 34663.95 29972.15 331
PatchMatch-RL56.25 28954.55 29461.32 29877.06 20356.07 12365.57 30454.10 35344.13 31953.49 32371.27 32325.20 34166.78 31636.52 31863.66 30061.12 352
PatchmatchNetpermissive59.84 26758.24 26964.65 27673.05 26346.70 24969.42 28562.18 32647.55 28758.88 27571.96 31934.49 26969.16 30542.99 27963.60 30178.07 265
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
IterMVS-SCA-FT62.49 24461.52 24565.40 27071.99 28050.80 19671.15 26669.63 27845.71 30660.61 25777.93 26237.45 24265.99 32155.67 17763.50 30279.42 254
CP-MVSNet66.49 20566.41 18666.72 24877.67 18836.33 33676.83 16979.52 15562.45 6762.54 24083.47 16146.32 15278.37 24945.47 26063.43 30385.45 114
PS-CasMVS66.42 20666.32 19066.70 25077.60 19536.30 33876.94 16579.61 15362.36 6962.43 24483.66 15545.69 15678.37 24945.35 26263.26 30485.42 117
IterMVS62.79 24361.27 24867.35 24469.37 31552.04 18371.17 26468.24 29052.63 23659.82 26576.91 27637.32 24472.36 28952.80 20163.19 30577.66 270
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PEN-MVS66.60 20266.45 18267.04 24677.11 20236.56 33377.03 16380.42 14162.95 5462.51 24284.03 14646.69 15079.07 24144.22 26563.08 30685.51 111
tpmrst58.24 27558.70 26556.84 31766.97 32934.32 34769.57 28461.14 33047.17 29458.58 27971.60 32041.28 21160.41 33849.20 22962.84 30775.78 291
testgi51.90 31152.37 30850.51 34060.39 36123.55 37158.42 33458.15 33749.03 27151.83 32879.21 24922.39 34855.59 35629.24 35162.64 30872.40 328
SCA60.49 26358.38 26866.80 24774.14 25448.06 23563.35 31663.23 32049.13 27059.33 27272.10 31737.45 24274.27 28444.17 26662.57 30978.05 266
EPMVS53.96 30053.69 30354.79 32566.12 33731.96 35762.34 32149.05 36044.42 31655.54 29771.33 32230.22 30756.70 35041.65 29162.54 31075.71 292
ITE_SJBPF62.09 29266.16 33644.55 27464.32 31447.36 29055.31 30180.34 22319.27 35462.68 33136.29 32062.39 31179.04 257
MIMVSNet155.17 29754.31 29857.77 31570.03 30732.01 35665.68 30364.81 31049.19 26946.75 34776.00 28925.53 34064.04 32628.65 35262.13 31277.26 276
CL-MVSNet_self_test61.53 25760.94 25363.30 28368.95 31836.93 33067.60 29472.80 25755.67 19559.95 26376.63 27945.01 17072.22 29239.74 30062.09 31380.74 233
baseline163.81 23263.87 21863.62 28076.29 21636.36 33471.78 25667.29 29456.05 18764.23 22382.95 16647.11 14374.41 28347.30 24061.85 31480.10 243
USDC56.35 28854.24 29962.69 28864.74 34240.31 30465.05 31073.83 24843.93 32147.58 34277.71 27015.36 36075.05 28038.19 30661.81 31572.70 320
PatchT53.17 30853.44 30552.33 33668.29 32425.34 36958.21 33554.41 35144.46 31554.56 31169.05 33733.32 28160.94 33536.93 31161.76 31670.73 338
tpm cat159.25 27056.95 27966.15 25872.19 27746.96 24768.09 29165.76 30340.03 34457.81 28570.56 32738.32 23474.51 28238.26 30561.50 31777.00 280
tpmvs58.47 27356.95 27963.03 28770.20 30241.21 30067.90 29367.23 29549.62 26654.73 30970.84 32434.14 27276.24 27636.64 31661.29 31871.64 332
Patchmtry57.16 28356.47 28259.23 30369.17 31734.58 34662.98 31763.15 32144.53 31356.83 29074.84 30135.83 25868.71 30740.03 29760.91 31974.39 308
DTE-MVSNet65.58 21365.34 20566.31 25376.06 22134.79 34276.43 17479.38 15862.55 6561.66 25183.83 15145.60 15879.15 23941.64 29260.88 32085.00 129
CHOSEN 280x42047.83 32046.36 32452.24 33767.37 32849.78 21238.91 36443.11 36835.00 35243.27 35563.30 35328.95 31649.19 36336.53 31760.80 32157.76 356
Patchmatch-test49.08 31848.28 32051.50 33864.40 34430.85 36045.68 35848.46 36335.60 35146.10 34972.10 31734.47 27046.37 36427.08 35660.65 32277.27 275
test20.0353.87 30254.02 30153.41 33161.47 35428.11 36461.30 32559.21 33451.34 25152.09 32777.43 27133.29 28258.55 34429.76 34960.27 32373.58 315
MVS-HIRNet45.52 32344.48 32648.65 34168.49 32234.05 34959.41 33344.50 36727.03 36037.96 36150.47 36326.16 33664.10 32526.74 35759.52 32447.82 361
Patchmatch-RL test58.16 27655.49 28866.15 25867.92 32548.89 22660.66 32951.07 35747.86 28459.36 26962.71 35434.02 27472.27 29156.41 16959.40 32577.30 274
AllTest57.08 28454.65 29364.39 27771.44 28749.03 22169.92 28267.30 29245.97 30347.16 34479.77 23617.47 35567.56 31233.65 32959.16 32676.57 284
TestCases64.39 27771.44 28749.03 22167.30 29245.97 30347.16 34479.77 23617.47 35567.56 31233.65 32959.16 32676.57 284
RPSCF55.80 29254.22 30060.53 30065.13 34142.91 28764.30 31357.62 34136.84 35058.05 28482.28 18128.01 32256.24 35437.14 31058.61 32882.44 205
EU-MVSNet55.61 29354.41 29659.19 30565.41 34033.42 35272.44 24671.91 26228.81 35851.27 32973.87 30924.76 34369.08 30643.04 27858.20 32975.06 297
KD-MVS_self_test55.22 29653.89 30259.21 30457.80 36527.47 36557.75 33774.32 24147.38 28950.90 33270.00 33328.45 32070.30 30140.44 29557.92 33079.87 247
pmmvs-eth3d58.81 27156.31 28466.30 25467.61 32652.42 17772.30 24864.76 31143.55 32354.94 30674.19 30728.95 31672.60 28843.31 27457.21 33173.88 313
our_test_356.49 28554.42 29562.68 28969.51 31245.48 26566.08 30061.49 32944.11 32050.73 33569.60 33633.05 28368.15 30938.38 30456.86 33274.40 307
TinyColmap54.14 29951.72 30961.40 29766.84 33141.97 29266.52 29768.51 28844.81 30942.69 35675.77 29311.66 36472.94 28731.96 33456.77 33369.27 345
ppachtmachnet_test58.06 27855.38 28966.10 26069.51 31248.99 22468.01 29266.13 30244.50 31454.05 31670.74 32532.09 29872.34 29036.68 31556.71 33476.99 282
OurMVSNet-221017-061.37 26058.63 26669.61 21572.05 27948.06 23573.93 22572.51 25847.23 29354.74 30880.92 21121.49 35381.24 19948.57 23456.22 33579.53 253
TransMVSNet (Re)64.72 22464.33 21365.87 26575.22 23538.56 31774.66 21175.08 23558.90 13261.79 25082.63 17151.18 9578.07 25443.63 27355.87 33680.99 229
FPMVS42.18 32741.11 32945.39 34358.03 36441.01 30249.50 35353.81 35430.07 35733.71 36264.03 35011.69 36352.08 36214.01 36755.11 33743.09 363
dp51.89 31251.60 31052.77 33468.44 32332.45 35562.36 32054.57 35044.16 31849.31 33967.91 33928.87 31856.61 35133.89 32854.89 33869.24 346
ADS-MVSNet251.33 31448.76 31959.07 30666.02 33844.60 27250.90 35159.76 33336.90 34850.74 33366.18 34726.38 33363.11 32927.17 35454.76 33969.50 343
ADS-MVSNet48.48 31947.77 32150.63 33966.02 33829.92 36150.90 35150.87 35936.90 34850.74 33366.18 34726.38 33352.47 36127.17 35454.76 33969.50 343
PM-MVS52.33 31050.19 31558.75 30862.10 35245.14 26765.75 30140.38 37043.60 32253.52 32172.65 3149.16 37065.87 32250.41 21854.18 34165.24 351
JIA-IIPM51.56 31347.68 32363.21 28464.61 34350.73 19747.71 35658.77 33642.90 32848.46 34151.72 36024.97 34270.24 30236.06 32153.89 34268.64 347
ambc65.13 27363.72 34737.07 32847.66 35778.78 16754.37 31471.42 32111.24 36680.94 20645.64 25553.85 34377.38 273
DSMNet-mixed39.30 33138.72 33141.03 34751.22 36819.66 37345.53 35931.35 37415.83 36939.80 36067.42 34422.19 34945.13 36522.43 36052.69 34458.31 355
N_pmnet39.35 33040.28 33036.54 34863.76 3461.62 38149.37 3540.76 38134.62 35343.61 35466.38 34626.25 33542.57 36726.02 35951.77 34565.44 350
TDRefinement53.44 30650.72 31461.60 29564.31 34546.96 24770.89 27165.27 30941.78 33244.61 35277.98 26011.52 36566.36 31928.57 35351.59 34671.49 333
Gipumacopyleft34.77 33331.91 33743.33 34662.05 35337.87 32120.39 36767.03 29623.23 36418.41 36825.84 3684.24 37462.73 33014.71 36651.32 34729.38 367
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
YYNet150.73 31548.96 31656.03 32061.10 35741.78 29551.94 34956.44 34440.94 34044.84 35067.80 34130.08 30955.08 35836.77 31250.71 34871.22 334
MDA-MVSNet_test_wron50.71 31648.95 31756.00 32161.17 35641.84 29351.90 35056.45 34340.96 33944.79 35167.84 34030.04 31055.07 35936.71 31450.69 34971.11 337
EGC-MVSNET42.47 32638.48 33254.46 32774.33 25048.73 22870.33 27851.10 3560.03 3750.18 37667.78 34213.28 36166.49 31818.91 36350.36 35048.15 360
SixPastTwentyTwo61.65 25658.80 26470.20 20575.80 22547.22 24575.59 19069.68 27754.61 21554.11 31579.26 24827.07 33082.96 15943.27 27549.79 35180.41 237
new-patchmatchnet47.56 32147.73 32247.06 34258.81 3639.37 37748.78 35559.21 33443.28 32444.22 35368.66 33825.67 33957.20 34931.57 34249.35 35274.62 306
LF4IMVS42.95 32542.26 32745.04 34448.30 36932.50 35454.80 34548.49 36228.03 35940.51 35970.16 3319.24 36943.89 36631.63 34049.18 35358.72 354
PMVScopyleft28.69 2236.22 33233.29 33645.02 34536.82 37635.98 34054.68 34648.74 36126.31 36121.02 36651.61 3612.88 37860.10 3399.99 37147.58 35438.99 366
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
pmmvs344.92 32441.95 32853.86 32852.58 36743.55 28162.11 32246.90 36626.05 36240.63 35860.19 35511.08 36757.91 34631.83 33946.15 35560.11 353
MDA-MVSNet-bldmvs53.87 30250.81 31363.05 28666.25 33548.58 22956.93 34063.82 31648.09 28141.22 35770.48 33030.34 30668.00 31134.24 32745.92 35672.57 322
UnsupCasMVSNet_eth53.16 30952.47 30755.23 32259.45 36233.39 35359.43 33269.13 28445.98 30250.35 33872.32 31629.30 31558.26 34542.02 28844.30 35774.05 311
UnsupCasMVSNet_bld50.07 31748.87 31853.66 32960.97 35933.67 35157.62 33864.56 31339.47 34647.38 34364.02 35227.47 32659.32 34134.69 32643.68 35867.98 348
KD-MVS_2432*160053.45 30451.50 31159.30 30162.82 34837.14 32655.33 34371.79 26347.34 29155.09 30470.52 32821.91 35170.45 29935.72 32242.97 35970.31 339
miper_refine_blended53.45 30451.50 31159.30 30162.82 34837.14 32655.33 34371.79 26347.34 29155.09 30470.52 32821.91 35170.45 29935.72 32242.97 35970.31 339
new_pmnet34.13 33434.29 33533.64 34952.63 36618.23 37544.43 36133.90 37322.81 36530.89 36353.18 35810.48 36835.72 37120.77 36239.51 36146.98 362
K. test v360.47 26457.11 27670.56 19973.74 25648.22 23375.10 20162.55 32458.27 14753.62 32076.31 28727.81 32481.59 19147.42 23839.18 36281.88 213
LCM-MVSNet40.30 32935.88 33453.57 33042.24 37129.15 36345.21 36060.53 33222.23 36628.02 36450.98 3623.72 37661.78 33431.22 34538.76 36369.78 342
lessismore_v069.91 21171.42 28947.80 23750.90 35850.39 33775.56 29527.43 32881.33 19645.91 25234.10 36480.59 234
PVSNet_043.31 2047.46 32245.64 32552.92 33367.60 32744.65 27154.06 34754.64 34941.59 33546.15 34858.75 35630.99 30258.66 34332.18 33324.81 36555.46 358
test_method19.68 33918.10 34224.41 35413.68 3793.11 38012.06 37042.37 3692.00 37311.97 37136.38 3655.77 37329.35 37315.06 36523.65 36640.76 364
PMMVS227.40 33525.91 33831.87 35139.46 3756.57 37831.17 36528.52 37523.96 36320.45 36748.94 3644.20 37537.94 37016.51 36419.97 36751.09 359
MVEpermissive17.77 2321.41 33817.77 34332.34 35034.34 37725.44 36816.11 36824.11 37611.19 37013.22 37031.92 3661.58 37930.95 37210.47 36917.03 36840.62 365
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN23.77 33622.73 34026.90 35242.02 37220.67 37242.66 36235.70 37117.43 36710.28 37325.05 3696.42 37242.39 36810.28 37014.71 36917.63 368
EMVS22.97 33721.84 34126.36 35340.20 37319.53 37441.95 36334.64 37217.09 3689.73 37422.83 3707.29 37142.22 3699.18 37213.66 37017.32 369
wuyk23d13.32 34112.52 34415.71 35547.54 37026.27 36631.06 3661.98 3804.93 3725.18 3751.94 3750.45 38018.54 3746.81 37412.83 3712.33 372
ANet_high41.38 32837.47 33353.11 33239.73 37424.45 37056.94 33969.69 27647.65 28626.04 36552.32 35912.44 36262.38 33221.80 36110.61 37272.49 323
tmp_tt9.43 34211.14 3454.30 3572.38 3804.40 37913.62 36916.08 3780.39 37415.89 36913.06 37115.80 3595.54 37612.63 36810.46 3732.95 371
DeepMVS_CXcopyleft12.03 35617.97 37810.91 37610.60 3797.46 37111.07 37228.36 3673.28 37711.29 3758.01 3739.74 37413.89 370
test_blank0.00 3470.00 3500.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 3790.00 3780.00 3820.00 3770.00 3770.00 3750.00 375
uanet_test0.00 3470.00 3500.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 3790.00 3780.00 3820.00 3770.00 3770.00 3750.00 375
cdsmvs_eth3d_5k17.50 34023.34 3390.00 3600.00 3830.00 3830.00 37178.63 1710.00 3780.00 37982.18 18249.25 1130.00 3770.00 3770.00 3750.00 375
pcd_1.5k_mvsjas3.92 3465.23 3490.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 3790.00 37847.05 1440.00 3770.00 3770.00 3750.00 375
sosnet-low-res0.00 3470.00 3500.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 3790.00 3780.00 3820.00 3770.00 3770.00 3750.00 375
sosnet0.00 3470.00 3500.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 3790.00 3780.00 3820.00 3770.00 3770.00 3750.00 375
uncertanet0.00 3470.00 3500.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 3790.00 3780.00 3820.00 3770.00 3770.00 3750.00 375
Regformer0.00 3470.00 3500.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 3790.00 3780.00 3820.00 3770.00 3770.00 3750.00 375
testmvs4.52 3456.03 3480.01 3590.01 3810.00 38353.86 3480.00 3820.01 3760.04 3770.27 3760.00 3820.00 3770.04 3750.00 3750.03 374
test1234.73 3446.30 3470.02 3580.01 3810.01 38256.36 3410.00 3820.01 3760.04 3770.21 3770.01 3810.00 3770.03 3760.00 3750.04 373
ab-mvs-re6.49 3438.65 3460.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 37977.89 2650.00 3820.00 3770.00 3770.00 3750.00 375
uanet0.00 3470.00 3500.00 3600.00 3830.00 3830.00 3710.00 3820.00 3780.00 3790.00 3780.00 3820.00 3770.00 3770.00 3750.00 375
FOURS186.12 4060.82 4288.18 183.61 6860.87 8981.50 16
test_one_060187.58 959.30 6586.84 1165.01 2383.80 1191.86 664.03 11
eth-test20.00 383
eth-test0.00 383
test_241102_ONE87.77 458.90 7786.78 1464.20 3485.97 191.34 1266.87 390.78 7
save fliter86.17 3661.30 3183.98 4979.66 15259.00 129
test072687.75 759.07 7287.86 486.83 1264.26 3284.19 791.92 564.82 8
GSMVS78.05 266
test_part287.58 960.47 4983.42 12
sam_mvs134.74 26678.05 266
sam_mvs33.43 280
MTGPAbinary80.97 132
test_post168.67 2893.64 37332.39 29669.49 30444.17 266
test_post3.55 37433.90 27566.52 317
patchmatchnet-post64.03 35034.50 26874.27 284
MTMP86.03 1917.08 377
gm-plane-assit71.40 29041.72 29848.85 27373.31 31282.48 17748.90 231
TEST985.58 4961.59 2781.62 8981.26 12355.65 19674.93 4688.81 6553.70 6884.68 124
test_885.40 5360.96 3981.54 9281.18 12655.86 18874.81 4988.80 6753.70 6884.45 129
agg_prior85.04 5759.96 5481.04 12974.68 5284.04 136
test_prior462.51 1782.08 84
test_prior76.69 6384.20 6957.27 10184.88 4186.43 8386.38 73
旧先验276.08 18245.32 30776.55 3565.56 32358.75 160
新几何276.12 180
无先验79.66 11874.30 24348.40 27880.78 21253.62 19379.03 258
原ACMM279.02 125
testdata272.18 29346.95 245
segment_acmp54.23 59
testdata172.65 24160.50 96
plane_prior781.41 10155.96 125
plane_prior681.20 10856.24 12045.26 168
plane_prior486.10 108
plane_prior356.09 12263.92 3969.27 129
plane_prior284.22 4164.52 28
plane_prior181.27 106
n20.00 382
nn0.00 382
door-mid47.19 365
test1183.47 72
door47.60 364
HQP5-MVS54.94 140
HQP-NCC80.66 11382.31 7962.10 7367.85 153
ACMP_Plane80.66 11382.31 7962.10 7367.85 153
BP-MVS67.04 92
HQP4-MVS67.85 15386.93 6484.32 148
HQP2-MVS45.46 162
NP-MVS80.98 11156.05 12485.54 122
MDTV_nov1_ep13_2view25.89 36761.22 32640.10 34351.10 33032.97 28538.49 30378.61 261
Test By Simon48.33 125