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 bysorted bysort bysort bysort bysort bysort bysort bysort by
Regformer-175.47 5474.93 5677.09 5780.43 11857.70 9679.50 12182.13 9867.84 175.73 4080.75 21656.50 3586.07 8871.07 6380.38 11487.50 41
Regformer-275.63 5374.99 5477.54 5080.43 11858.32 8779.50 12182.92 8767.84 175.94 3780.75 21655.73 4386.80 6871.44 6280.38 11487.50 41
CANet76.46 4375.93 4678.06 4281.29 10457.53 9882.35 7783.31 7967.78 370.09 10986.34 10354.92 5188.90 2572.68 5184.55 7187.76 32
UA-Net73.13 8072.93 8073.76 12483.58 7351.66 18578.75 12777.66 19367.75 472.61 8889.42 5449.82 10583.29 15253.61 19483.14 8186.32 80
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 57
TranMVSNet+NR-MVSNet70.36 12170.10 11671.17 18878.64 16142.97 28576.53 17281.16 12766.95 668.53 13985.42 12451.61 9083.07 15652.32 20269.70 24687.46 43
Regformer-474.25 7173.48 7476.57 6879.75 13256.54 11578.54 13481.49 11366.93 773.90 6580.30 22453.84 6585.98 9369.76 6976.84 16187.17 53
3Dnovator+66.72 475.84 5174.57 6179.66 882.40 8759.92 5685.83 2286.32 2066.92 867.80 15789.24 5842.03 19489.38 1864.07 11586.50 6189.69 1
NCCC78.58 1678.31 2079.39 1187.51 1262.61 1685.20 3184.42 4766.73 974.67 5489.38 5655.30 4689.18 2174.19 3987.34 4886.38 72
SteuartSystems-ACMMP79.48 1079.31 1179.98 283.01 8262.18 1987.60 985.83 2466.69 1078.03 3190.98 1454.26 5790.06 1278.42 1789.02 2787.69 33
Skip Steuart: Steuart Systems R&D Blog.
Regformer-373.89 7473.28 7875.71 8179.75 13255.48 13678.54 13479.93 14866.58 1173.62 6980.30 22454.87 5284.54 12769.09 7576.84 16187.10 56
EPNet73.09 8172.16 8575.90 7575.95 22156.28 11883.05 6272.39 25866.53 1265.27 20187.00 8650.40 10285.47 10962.48 13186.32 6285.94 90
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
UniMVSNet_NR-MVSNet71.11 10771.00 10271.44 17779.20 14744.13 27476.02 18682.60 9366.48 1368.20 14384.60 13456.82 3382.82 16854.62 18470.43 22987.36 50
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 18
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
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 5479.00 1090.37 1485.26 123
test_part174.74 6274.42 6375.70 8281.69 9651.26 18783.98 4987.05 865.31 1673.10 7986.20 10553.94 6288.06 3965.32 10673.17 19787.77 31
NR-MVSNet69.54 13968.85 13371.59 17578.05 17843.81 27874.20 21780.86 13565.18 1762.76 23384.52 13552.35 8283.59 14850.96 21570.78 22487.37 48
zzz-MVS77.61 3277.36 3278.35 3786.08 4163.57 283.37 5980.97 13265.13 1875.77 3890.88 1548.63 11986.66 7377.23 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 11986.66 7377.23 1988.17 3884.81 135
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 8
test_0728_THIRD65.04 2083.82 892.00 364.69 1090.75 879.48 490.63 1088.09 18
EI-MVSNet-Vis-set72.42 9071.59 9074.91 9678.47 16554.02 14877.05 16279.33 15965.03 2271.68 9879.35 24652.75 7584.89 12066.46 9574.23 17985.83 95
test_one_060187.58 959.30 6586.84 1165.01 2383.80 1191.86 664.03 11
ETV-MVS74.46 6773.84 7076.33 7179.27 14555.24 13979.22 12485.00 4064.97 2472.65 8779.46 24353.65 7087.87 4567.45 8982.91 8785.89 93
WR-MVS68.47 16268.47 14068.44 23280.20 12439.84 30573.75 23076.07 21564.68 2568.11 14883.63 15550.39 10379.14 24049.78 22069.66 24786.34 77
XVS77.17 3676.56 4079.00 2386.32 3262.62 1485.83 2283.92 5864.55 2672.17 9390.01 4547.95 12788.01 4171.55 6086.74 5886.37 75
X-MVStestdata70.21 12467.28 16679.00 2386.32 3262.62 1485.83 2283.92 5864.55 2672.17 936.49 37147.95 12788.01 4171.55 6086.74 5886.37 75
HQP_MVS74.31 6973.73 7176.06 7381.41 10156.31 11684.22 4184.01 5564.52 2869.27 12886.10 10845.26 16787.21 5668.16 8080.58 11084.65 140
plane_prior284.22 4164.52 28
EI-MVSNet-UG-set71.92 9771.06 10174.52 11077.98 18053.56 15476.62 17079.16 16064.40 3071.18 10078.95 25052.19 8384.66 12665.47 10573.57 18785.32 120
DU-MVS70.01 12769.53 12271.44 17778.05 17844.13 27475.01 20281.51 11264.37 3168.20 14384.52 13549.12 11682.82 16854.62 18470.43 22987.37 48
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 1185.45 113
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
test072687.75 759.07 7287.86 486.83 1264.26 3284.19 791.92 564.82 8
test_241102_ONE87.77 458.90 7786.78 1464.20 3485.97 191.34 1266.87 390.78 7
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 13
test_241102_TWO86.73 1664.18 3584.26 591.84 865.19 690.83 578.63 1590.70 787.65 35
LFMVS71.78 9971.59 9072.32 16383.40 7646.38 25079.75 11671.08 26564.18 3572.80 8488.64 6842.58 18983.72 14457.41 16484.49 7286.86 61
IS-MVSNet71.57 10271.00 10273.27 14478.86 15445.63 26380.22 10778.69 16964.14 3866.46 18087.36 8149.30 11085.60 10150.26 21983.71 8088.59 6
plane_prior356.09 12263.92 3969.27 128
MP-MVScopyleft78.35 2278.26 2278.64 3186.54 2763.47 586.02 2083.55 7063.89 4073.60 7090.60 2054.85 5386.72 7177.20 2188.06 4185.74 102
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
DELS-MVS74.76 6174.46 6275.65 8477.84 18352.25 17675.59 19084.17 5263.76 4173.15 7682.79 16659.58 1986.80 6867.24 9086.04 6387.89 22
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
OPM-MVS74.73 6374.25 6576.19 7280.81 11259.01 7582.60 7483.64 6763.74 4272.52 8987.49 7947.18 14185.88 9669.47 7280.78 10683.66 176
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
UniMVSNet (Re)70.63 11570.20 11271.89 16678.55 16245.29 26575.94 18782.92 8763.68 4368.16 14683.59 15653.89 6483.49 15053.97 18971.12 22286.89 60
GST-MVS78.14 2477.85 2778.99 2586.05 4361.82 2585.84 2185.21 3463.56 4474.29 5990.03 4352.56 7688.53 3074.79 3488.34 3486.63 69
DROMVSNet75.84 5175.87 4875.74 7978.86 15452.65 16783.73 5486.08 2263.47 4572.77 8587.25 8553.13 7487.93 4371.97 5685.57 6686.66 68
ZNCC-MVS78.82 1378.67 1779.30 1386.43 3062.05 2186.62 1186.01 2363.32 4675.08 4390.47 2753.96 6188.68 2876.48 2689.63 2487.16 54
DPE-MVScopyleft80.56 580.98 579.29 1487.27 1360.56 4885.71 2686.42 1863.28 4783.27 1391.83 1064.96 790.47 1076.41 2789.67 2286.84 62
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
CS-MVS76.16 4676.00 4576.62 6680.18 12754.35 14784.52 3683.98 5763.24 4873.29 7487.26 8455.11 4886.25 8771.80 5784.65 7089.26 3
CS-MVS-test74.96 5774.82 5875.40 8879.45 14252.03 18282.95 6486.18 2163.24 4870.07 11084.50 13855.21 4788.77 2767.89 8383.85 7885.40 118
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 22
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
VDD-MVS72.50 8772.09 8673.75 12681.58 9749.69 21477.76 14577.63 19463.21 5173.21 7589.02 6142.14 19383.32 15161.72 13882.50 9488.25 12
plane_prior56.31 11683.58 5763.19 5280.48 113
ACMMPcopyleft76.02 4875.33 5278.07 4185.20 5661.91 2385.49 3084.44 4663.04 5369.80 12089.74 5245.43 16387.16 5872.01 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
PEN-MVS66.60 20166.45 18167.04 24677.11 20136.56 33277.03 16380.42 14162.95 5462.51 24184.03 14546.69 14979.07 24144.22 26463.08 30585.51 110
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 65
mPP-MVS76.54 4275.93 4678.34 3986.47 2863.50 485.74 2582.28 9662.90 5671.77 9690.26 3446.61 15086.55 7971.71 5885.66 6584.97 131
ACMMP_NAP78.77 1578.78 1578.74 3085.44 5261.04 3683.84 5385.16 3562.88 5778.10 2891.26 1352.51 7788.39 3179.34 690.52 1386.78 66
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 17
HFP-MVS78.01 2777.65 2879.10 2086.71 2062.81 1086.29 1484.32 4962.82 5973.96 6290.50 2453.20 7288.35 3274.02 4187.05 5086.13 85
ACMMPR77.71 2977.23 3379.16 1686.75 1962.93 986.29 1484.24 5162.82 5973.55 7190.56 2249.80 10688.24 3574.02 4187.03 5286.32 80
region2R77.67 3177.18 3479.15 1786.76 1862.95 886.29 1484.16 5362.81 6173.30 7390.58 2149.90 10488.21 3673.78 4387.03 5286.29 83
casdiffmvs74.80 6074.89 5774.53 10975.59 22950.37 20278.17 13985.06 3762.80 6274.40 5787.86 7657.88 2783.61 14769.46 7382.79 9189.59 2
baseline74.61 6574.70 6074.34 11375.70 22549.99 20977.54 15084.63 4562.73 6373.98 6187.79 7857.67 3083.82 14369.49 7182.74 9289.20 4
HPM-MVScopyleft77.28 3476.85 3678.54 3485.00 5960.81 4382.91 6785.08 3662.57 6473.09 8089.97 4650.90 10087.48 5275.30 3086.85 5687.33 51
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
DTE-MVSNet65.58 21265.34 20466.31 25376.06 22034.79 34176.43 17479.38 15862.55 6561.66 25083.83 15045.60 15779.15 23941.64 29160.88 31985.00 129
SMA-MVScopyleft80.28 680.39 779.95 386.60 2561.95 2286.33 1385.75 2662.49 6682.20 1592.28 156.53 3489.70 1579.85 391.48 188.19 15
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
CP-MVSNet66.49 20466.41 18566.72 24877.67 18736.33 33576.83 16979.52 15562.45 6762.54 23983.47 16046.32 15178.37 24945.47 25963.43 30285.45 113
CP-MVS77.12 3776.68 3878.43 3586.05 4363.18 787.55 1083.45 7362.44 6872.68 8690.50 2448.18 12587.34 5373.59 4685.71 6484.76 139
PS-CasMVS66.42 20566.32 18966.70 25077.60 19436.30 33776.94 16579.61 15362.36 6962.43 24383.66 15445.69 15578.37 24945.35 26163.26 30385.42 116
3Dnovator64.47 572.49 8871.39 9575.79 7677.70 18558.99 7680.66 10283.15 8462.24 7065.46 19886.59 9742.38 19285.52 10559.59 15584.72 6982.85 198
MP-MVS-pluss78.35 2278.46 1878.03 4384.96 6059.52 6182.93 6685.39 3162.15 7176.41 3691.51 1152.47 7986.78 7080.66 289.64 2387.80 29
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
testtj78.47 1978.43 1978.61 3286.82 1760.67 4686.07 1885.38 3262.12 7278.65 2690.29 3355.76 4289.31 1973.55 4787.22 4985.84 94
HQP-NCC80.66 11382.31 7962.10 7367.85 152
ACMP_Plane80.66 11382.31 7962.10 7367.85 152
HQP-MVS73.45 7772.80 8175.40 8880.66 11354.94 14082.31 7983.90 6062.10 7367.85 15285.54 12245.46 16186.93 6567.04 9280.35 11684.32 148
VPNet67.52 18068.11 14765.74 26579.18 14836.80 33072.17 25072.83 25562.04 7667.79 15885.83 11648.88 11876.60 27251.30 21372.97 20083.81 165
WR-MVS_H67.02 19266.92 17567.33 24577.95 18137.75 32277.57 14882.11 10062.03 7762.65 23682.48 17550.57 10179.46 23042.91 27964.01 29684.79 137
DeepC-MVS_fast68.24 377.25 3576.63 3979.12 1986.15 3860.86 4184.71 3384.85 4361.98 7873.06 8188.88 6453.72 6689.06 2368.27 7788.04 4287.42 45
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
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 6177.08 2390.18 1587.87 24
PGM-MVS76.77 4176.06 4378.88 2786.14 3962.73 1282.55 7583.74 6561.71 8072.45 9290.34 3148.48 12388.13 3772.32 5286.85 5685.78 96
Effi-MVS+73.31 7972.54 8375.62 8577.87 18253.64 15279.62 11979.61 15361.63 8172.02 9582.61 17156.44 3685.97 9463.99 11879.07 13687.25 52
#test#77.83 2877.41 3179.10 2086.71 2062.81 1085.69 2784.32 4961.61 8273.96 6290.50 2453.20 7288.35 3273.68 4487.05 5086.13 85
MG-MVS73.96 7373.89 6974.16 11685.65 4749.69 21481.59 9181.29 12261.45 8371.05 10188.11 7051.77 8887.73 4861.05 14383.09 8285.05 128
LPG-MVS_test72.74 8471.74 8975.76 7780.22 12257.51 9982.55 7583.40 7561.32 8466.67 17687.33 8239.15 22586.59 7667.70 8577.30 15683.19 189
LGP-MVS_train75.76 7780.22 12257.51 9983.40 7561.32 8466.67 17687.33 8239.15 22586.59 7667.70 8577.30 15683.19 189
CLD-MVS73.33 7872.68 8275.29 9378.82 15653.33 15978.23 13884.79 4461.30 8670.41 10581.04 20652.41 8087.12 5964.61 11482.49 9585.41 117
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVS_111021_HR74.02 7273.46 7675.69 8383.01 8260.63 4777.29 15778.40 18361.18 8770.58 10385.97 11254.18 5984.00 14067.52 8882.98 8682.45 204
FIs70.82 11271.43 9368.98 22578.33 16938.14 31976.96 16483.59 6961.02 8867.33 16486.73 9055.07 4981.64 18954.61 18679.22 13287.14 55
FOURS186.12 4060.82 4288.18 183.61 6860.87 8981.50 16
FC-MVSNet-test69.80 13170.58 10867.46 24177.61 19334.73 34476.05 18483.19 8360.84 9065.88 19286.46 10054.52 5680.76 21452.52 20178.12 14786.91 59
v870.33 12269.28 12773.49 13673.15 25950.22 20478.62 13180.78 13660.79 9166.45 18182.11 18649.35 10984.98 11763.58 12368.71 26185.28 121
CSCG76.92 3876.75 3777.41 5283.96 7159.60 5982.95 6486.50 1760.78 9275.27 4184.83 12860.76 1586.56 7867.86 8487.87 4686.06 88
Vis-MVSNetpermissive72.18 9371.37 9674.61 10581.29 10455.41 13780.90 9878.28 18560.73 9369.23 13188.09 7144.36 17682.65 17257.68 16281.75 10285.77 99
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
APD-MVScopyleft78.02 2578.04 2677.98 4486.44 2960.81 4385.52 2884.36 4860.61 9479.05 2390.30 3255.54 4588.32 3473.48 4887.03 5284.83 134
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMP63.53 672.30 9171.20 10075.59 8780.28 12057.54 9782.74 7082.84 9160.58 9565.24 20586.18 10639.25 22386.03 9166.95 9476.79 16383.22 187
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
testdata172.65 24160.50 96
UGNet68.81 15067.39 16173.06 14778.33 16954.47 14579.77 11575.40 22560.45 9763.22 22884.40 13932.71 29080.91 20951.71 21180.56 11283.81 165
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
h-mvs3372.71 8571.49 9276.40 6981.99 9259.58 6076.92 16676.74 20960.40 9874.81 4985.95 11345.54 15985.76 10070.41 6770.61 22783.86 164
hse-mvs271.04 10869.86 11774.60 10679.58 13757.12 11073.96 22175.25 22760.40 9874.81 4981.95 18845.54 15982.90 16170.41 6766.83 27783.77 170
EPP-MVSNet72.16 9571.31 9874.71 9978.68 16049.70 21282.10 8381.65 10860.40 9865.94 18985.84 11551.74 8986.37 8555.93 17179.55 12788.07 20
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 6477.16 2289.90 1887.97 21
UniMVSNet_ETH3D67.60 17967.07 17469.18 22477.39 19742.29 28974.18 21875.59 22260.37 10166.77 17386.06 11037.64 23978.93 24752.16 20473.49 18986.32 80
test_prior376.89 4076.96 3576.69 6284.20 6957.27 10181.75 8684.88 4160.37 10175.01 4489.06 5956.22 3886.43 8372.19 5388.96 2886.38 72
test_prior281.75 8660.37 10175.01 4489.06 5956.22 3872.19 5388.96 28
SD-MVS77.70 3077.62 2977.93 4584.47 6761.88 2484.55 3583.87 6260.37 10179.89 1889.38 5654.97 5085.58 10376.12 2984.94 6886.33 78
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
VNet69.68 13570.19 11368.16 23579.73 13541.63 29870.53 27377.38 19960.37 10170.69 10286.63 9551.08 9677.09 26753.61 19481.69 10485.75 101
canonicalmvs74.67 6474.98 5573.71 12878.94 15350.56 20080.23 10683.87 6260.30 10777.15 3386.56 9959.65 1782.00 18366.01 9982.12 9688.58 7
v7n69.01 14867.36 16373.98 11872.51 27252.65 16778.54 13481.30 12160.26 10862.67 23581.62 19443.61 18184.49 12857.01 16568.70 26284.79 137
HPM-MVS_fast74.30 7073.46 7676.80 6184.45 6859.04 7483.65 5681.05 12860.15 10970.43 10489.84 4941.09 21285.59 10267.61 8782.90 8885.77 99
VPA-MVSNet69.02 14769.47 12467.69 23977.42 19641.00 30274.04 21979.68 15160.06 11069.26 13084.81 12951.06 9777.58 26154.44 18774.43 17784.48 144
v1070.21 12469.02 13173.81 12173.51 25650.92 19278.74 12881.39 11560.05 11166.39 18281.83 19147.58 13385.41 11262.80 12868.86 26085.09 127
SR-MVS76.13 4775.70 4977.40 5485.87 4561.20 3385.52 2882.19 9759.99 11275.10 4290.35 2947.66 13186.52 8071.64 5982.99 8484.47 145
9.1478.75 1683.10 7884.15 4488.26 259.90 11378.57 2790.36 2857.51 3186.86 6777.39 1889.52 25
v2v48270.50 11869.45 12573.66 13072.62 26950.03 20877.58 14780.51 14059.90 11369.52 12282.14 18547.53 13484.88 12265.07 11070.17 23586.09 87
Baseline_NR-MVSNet67.05 19167.56 15365.50 26775.65 22637.70 32375.42 19274.65 23859.90 11368.14 14783.15 16449.12 11677.20 26552.23 20369.78 24381.60 215
API-MVS72.17 9471.41 9474.45 11181.95 9357.22 10384.03 4780.38 14259.89 11668.40 14082.33 17849.64 10787.83 4751.87 20884.16 7778.30 261
Effi-MVS+-dtu69.64 13767.53 15675.95 7476.10 21862.29 1880.20 10876.06 21659.83 11765.26 20477.09 27241.56 20384.02 13960.60 14671.09 22381.53 216
mvs-test170.44 11968.19 14577.18 5576.10 21863.22 680.59 10376.06 21659.83 11766.32 18379.87 23241.56 20385.53 10460.60 14672.77 20282.80 199
CANet_DTU68.18 16867.71 15269.59 21674.83 23846.24 25378.66 13076.85 20659.60 11963.45 22782.09 18735.25 26077.41 26359.88 15278.76 14185.14 124
EI-MVSNet69.27 14468.44 14271.73 17074.47 24549.39 21975.20 19778.45 17959.60 11969.16 13276.51 28251.29 9282.50 17559.86 15471.45 22083.30 184
IterMVS-LS69.22 14668.48 13971.43 17974.44 24749.40 21876.23 17977.55 19559.60 11965.85 19381.59 19751.28 9381.58 19259.87 15369.90 24183.30 184
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
VDDNet71.81 9871.33 9773.26 14582.80 8547.60 24178.74 12875.27 22659.59 12272.94 8289.40 5541.51 20683.91 14158.75 15982.99 8488.26 11
test117275.36 5674.81 5977.02 5885.47 5160.79 4583.94 5281.63 10959.52 12374.66 5590.18 3644.74 17085.84 9770.63 6682.52 9384.42 146
alignmvs73.86 7573.99 6773.45 13878.20 17250.50 20178.57 13282.43 9459.40 12476.57 3486.71 9256.42 3781.23 20065.84 10181.79 9888.62 5
MVS_Test72.45 8972.46 8472.42 16274.88 23748.50 22976.28 17883.14 8559.40 12472.46 9084.68 13055.66 4481.12 20165.98 10079.66 12487.63 36
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 5176.69 2586.74 5887.68 34
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
MSLP-MVS++73.77 7673.47 7574.66 10283.02 8159.29 6682.30 8281.88 10259.34 12671.59 9986.83 8745.94 15483.65 14665.09 10985.22 6781.06 228
PAPM_NR72.63 8671.80 8875.13 9481.72 9553.42 15879.91 11383.28 8159.14 12866.31 18485.90 11451.86 8786.06 8957.45 16380.62 10885.91 92
xxxxxxxxxxxxxcwj78.37 2178.25 2378.76 2986.17 3661.30 3183.98 4979.95 14759.00 12979.16 2090.75 1757.96 2587.09 6177.08 2390.18 1587.87 24
save fliter86.17 3661.30 3183.98 4979.66 15259.00 129
v14868.24 16767.19 17171.40 18070.43 29847.77 23875.76 18977.03 20458.91 13167.36 16380.10 22948.60 12281.89 18460.01 15166.52 28084.53 142
TransMVSNet (Re)64.72 22364.33 21265.87 26475.22 23438.56 31674.66 21175.08 23558.90 13261.79 24982.63 17051.18 9478.07 25443.63 27255.87 33580.99 229
abl_674.34 6873.50 7376.86 6082.43 8660.16 5283.48 5881.86 10358.81 13373.95 6489.86 4841.87 19786.62 7567.98 8281.23 10583.80 169
Anonymous20240521166.84 19665.99 19569.40 22080.19 12542.21 29071.11 26671.31 26458.80 13467.90 15086.39 10229.83 31079.65 22749.60 22678.78 14086.33 78
test250665.33 21864.61 21167.50 24079.46 14034.19 34774.43 21551.92 35458.72 13566.75 17488.05 7325.99 33680.92 20851.94 20784.25 7487.39 46
ECVR-MVScopyleft67.72 17767.51 15768.35 23379.46 14036.29 33874.79 20866.93 29658.72 13567.19 16688.05 7336.10 25481.38 19552.07 20584.25 7487.39 46
test111167.21 18467.14 17367.42 24279.24 14634.76 34373.89 22765.65 30358.71 13766.96 17087.95 7536.09 25580.53 21652.03 20683.79 7986.97 58
LCM-MVSNet-Re61.88 25361.35 24663.46 28074.58 24331.48 35761.42 32358.14 33758.71 13753.02 32479.55 24143.07 18576.80 27045.69 25377.96 14882.11 210
v114470.42 12069.31 12673.76 12473.22 25750.64 19777.83 14381.43 11458.58 13969.40 12681.16 20347.53 13485.29 11464.01 11770.64 22585.34 119
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 4187.22 5567.11 9184.48 7385.52 109
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 16
BH-RMVSNet68.81 15067.42 16072.97 14880.11 12852.53 17174.26 21676.29 21258.48 14268.38 14184.20 14142.59 18883.83 14246.53 24575.91 16882.56 200
APD-MVS_3200maxsize74.96 5774.39 6476.67 6482.20 8858.24 8883.67 5583.29 8058.41 14373.71 6890.14 3745.62 15685.99 9269.64 7082.85 9085.78 96
OMC-MVS71.40 10670.60 10673.78 12276.60 21153.15 16179.74 11779.78 14958.37 14468.75 13586.45 10145.43 16380.60 21562.58 12977.73 15087.58 39
nrg03072.96 8273.01 7972.84 15175.41 23250.24 20380.02 10982.89 9058.36 14574.44 5686.73 9058.90 2280.83 21065.84 10174.46 17687.44 44
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 5076.15 2889.86 1986.82 63
K. test v360.47 26357.11 27570.56 19973.74 25548.22 23275.10 20162.55 32358.27 14753.62 31976.31 28627.81 32381.59 19147.42 23739.18 36181.88 213
MVS_111021_LR69.50 14068.78 13571.65 17378.38 16659.33 6474.82 20770.11 27358.08 14867.83 15684.68 13041.96 19576.34 27565.62 10477.54 15179.30 255
SR-MVS-dyc-post74.57 6673.90 6876.58 6783.49 7459.87 5784.29 3881.36 11658.07 14973.14 7790.07 3844.74 17085.84 9768.20 7881.76 10084.03 156
RE-MVS-def73.71 7283.49 7459.87 5784.29 3881.36 11658.07 14973.14 7790.07 3843.06 18668.20 7881.76 10084.03 156
GeoE71.01 10970.15 11473.60 13479.57 13852.17 17778.93 12678.12 18658.02 15167.76 16083.87 14952.36 8182.72 17056.90 16675.79 16985.92 91
ZD-MVS86.64 2360.38 5082.70 9257.95 15278.10 2890.06 4056.12 4088.84 2674.05 4087.00 55
EIA-MVS71.78 9970.60 10675.30 9279.85 13153.54 15577.27 15883.26 8257.92 15366.49 17979.39 24452.07 8586.69 7260.05 15079.14 13585.66 104
test_yl69.69 13369.13 12871.36 18178.37 16745.74 25974.71 20980.20 14457.91 15470.01 11583.83 15042.44 19082.87 16454.97 18079.72 12285.48 111
DCV-MVSNet69.69 13369.13 12871.36 18178.37 16745.74 25974.71 20980.20 14457.91 15470.01 11583.83 15042.44 19082.87 16454.97 18079.72 12285.48 111
Fast-Effi-MVS+-dtu67.37 18265.33 20573.48 13772.94 26457.78 9577.47 15276.88 20557.60 15661.97 24676.85 27639.31 22280.49 21954.72 18370.28 23482.17 209
v119269.97 12968.68 13673.85 12073.19 25850.94 19077.68 14681.36 11657.51 15768.95 13480.85 21345.28 16685.33 11362.97 12770.37 23185.27 122
ACMH+57.40 1166.12 20764.06 21372.30 16477.79 18452.83 16580.39 10578.03 18757.30 15857.47 28682.55 17327.68 32484.17 13345.54 25669.78 24379.90 245
diffmvs70.69 11470.43 10971.46 17669.45 31348.95 22472.93 23878.46 17857.27 15971.69 9783.97 14851.48 9177.92 25670.70 6577.95 14987.53 40
BH-untuned68.27 16567.29 16571.21 18579.74 13453.22 16076.06 18377.46 19857.19 16066.10 18681.61 19545.37 16583.50 14945.42 26076.68 16576.91 282
thres100view90063.28 23762.41 23565.89 26377.31 19838.66 31572.65 24169.11 28457.07 16162.45 24281.03 20737.01 25079.17 23631.84 33573.25 19479.83 247
DP-MVS Recon72.15 9670.73 10576.40 6986.57 2657.99 9181.15 9782.96 8657.03 16266.78 17285.56 12044.50 17488.11 3851.77 21080.23 11983.10 193
thres600view763.30 23662.27 23666.41 25277.18 20038.87 31372.35 24769.11 28456.98 16362.37 24480.96 20937.01 25079.00 24531.43 34273.05 19981.36 219
V4268.65 15567.35 16472.56 15768.93 31850.18 20572.90 23979.47 15656.92 16469.45 12580.26 22646.29 15282.99 15764.07 11567.82 27084.53 142
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 4973.67 4587.45 4786.57 70
GA-MVS65.53 21463.70 21971.02 19270.87 29248.10 23370.48 27474.40 24056.69 16664.70 21576.77 27733.66 27781.10 20255.42 17970.32 23383.87 163
v14419269.71 13268.51 13873.33 14373.10 26050.13 20677.54 15080.64 13756.65 16768.57 13880.55 21846.87 14884.96 11962.98 12669.66 24784.89 133
tfpn200view963.18 23962.18 23866.21 25676.85 20639.62 30771.96 25369.44 28056.63 16862.61 23779.83 23337.18 24479.17 23631.84 33573.25 19479.83 247
thres40063.31 23562.18 23866.72 24876.85 20639.62 30771.96 25369.44 28056.63 16862.61 23779.83 23337.18 24479.17 23631.84 33573.25 19481.36 219
GBi-Net67.21 18466.55 17969.19 22177.63 18843.33 28177.31 15477.83 19056.62 17065.04 20982.70 16741.85 19880.33 22147.18 24072.76 20383.92 160
test167.21 18466.55 17969.19 22177.63 18843.33 28177.31 15477.83 19056.62 17065.04 20982.70 16741.85 19880.33 22147.18 24072.76 20383.92 160
FMVSNet266.93 19466.31 19068.79 22877.63 18842.98 28476.11 18177.47 19656.62 17065.22 20782.17 18341.85 19880.18 22447.05 24372.72 20683.20 188
DPM-MVS75.47 5475.00 5376.88 5981.38 10359.16 6779.94 11185.71 2756.59 17372.46 9086.76 8856.89 3287.86 4666.36 9688.91 3083.64 178
v192192069.47 14168.17 14673.36 14273.06 26150.10 20777.39 15380.56 13856.58 17468.59 13680.37 22044.72 17284.98 11762.47 13269.82 24285.00 129
FMVSNet166.70 19965.87 19669.19 22177.49 19543.33 28177.31 15477.83 19056.45 17564.60 21782.70 16738.08 23780.33 22146.08 24972.31 21183.92 160
v124069.24 14567.91 14873.25 14673.02 26349.82 21077.21 15980.54 13956.43 17668.34 14280.51 21943.33 18484.99 11562.03 13669.77 24584.95 132
RRT_test8_iter0568.17 17066.86 17672.07 16575.81 22346.33 25176.41 17581.81 10556.43 17666.52 17881.30 20231.90 29884.25 13263.77 12267.83 26985.64 106
CDPH-MVS76.31 4475.67 5078.22 4085.35 5559.14 7081.31 9584.02 5456.32 17874.05 6088.98 6253.34 7187.92 4469.23 7488.42 3387.59 38
Vis-MVSNet (Re-imp)63.69 23263.88 21663.14 28474.75 24031.04 35871.16 26463.64 31656.32 17859.80 26584.99 12644.51 17375.46 27839.12 30080.62 10882.92 195
AdaColmapbinary69.99 12868.66 13773.97 11984.94 6257.83 9382.63 7378.71 16856.28 18064.34 21884.14 14241.57 20287.06 6346.45 24678.88 13777.02 278
PS-MVSNAJss72.24 9271.21 9975.31 9178.50 16355.93 12681.63 8882.12 9956.24 18170.02 11485.68 11947.05 14384.34 13165.27 10774.41 17885.67 103
c3_l68.33 16467.56 15370.62 19870.87 29246.21 25474.47 21478.80 16656.22 18266.19 18578.53 25751.88 8681.40 19462.08 13369.04 25684.25 150
Fast-Effi-MVS+70.28 12369.12 13073.73 12778.50 16351.50 18675.01 20279.46 15756.16 18368.59 13679.55 24153.97 6084.05 13553.34 19677.53 15285.65 105
agg_prior175.94 4976.01 4475.72 8085.04 5759.96 5481.44 9381.04 12956.14 18474.68 5288.90 6353.91 6384.04 13675.01 3387.92 4583.16 192
RRT_MVS68.77 15366.71 17774.95 9575.93 22258.55 8480.50 10475.84 21856.09 18568.17 14583.74 15328.50 31882.98 15865.67 10365.91 28383.33 183
PHI-MVS75.87 5075.36 5177.41 5280.62 11655.91 12784.28 4085.78 2556.08 18673.41 7286.58 9850.94 9988.54 2970.79 6489.71 2187.79 30
baseline163.81 23163.87 21763.62 27976.29 21536.36 33371.78 25567.29 29356.05 18764.23 22282.95 16547.11 14274.41 28347.30 23961.85 31380.10 242
train_agg76.27 4576.15 4276.64 6585.58 4961.59 2781.62 8981.26 12355.86 18874.93 4688.81 6553.70 6784.68 12475.24 3288.33 3583.65 177
test_885.40 5360.96 3981.54 9281.18 12655.86 18874.81 4988.80 6753.70 6784.45 129
FMVSNet366.32 20665.61 20168.46 23176.48 21442.34 28874.98 20477.15 20355.83 19065.04 20981.16 20339.91 21680.14 22547.18 24072.76 20382.90 197
PAPR71.72 10170.82 10474.41 11281.20 10851.17 18879.55 12083.33 7855.81 19166.93 17184.61 13350.95 9886.06 8955.79 17479.20 13386.00 89
eth_miper_zixun_eth67.63 17866.28 19171.67 17271.60 28448.33 23173.68 23177.88 18855.80 19265.91 19078.62 25547.35 14082.88 16359.45 15666.25 28183.81 165
ACMH55.70 1565.20 22063.57 22270.07 20778.07 17752.01 18379.48 12379.69 15055.75 19356.59 29180.98 20827.12 32880.94 20642.90 28071.58 21877.25 276
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IB-MVS56.42 1265.40 21762.73 23273.40 14174.89 23652.78 16673.09 23775.13 23155.69 19458.48 28073.73 30932.86 28586.32 8650.63 21670.11 23681.10 227
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
CL-MVSNet_self_test61.53 25660.94 25263.30 28268.95 31736.93 32967.60 29372.80 25655.67 19559.95 26276.63 27845.01 16972.22 29239.74 29962.09 31280.74 233
TEST985.58 4961.59 2781.62 8981.26 12355.65 19674.93 4688.81 6553.70 6784.68 124
thres20062.20 24861.16 25065.34 27075.38 23339.99 30469.60 28269.29 28255.64 19761.87 24876.99 27337.07 24978.96 24631.28 34373.28 19377.06 277
pm-mvs165.24 21964.97 20966.04 26072.38 27339.40 31072.62 24375.63 22155.53 19862.35 24583.18 16347.45 13676.47 27349.06 22966.54 27982.24 206
ACMM61.98 770.80 11369.73 11974.02 11780.59 11758.59 8382.68 7282.02 10155.46 19967.18 16784.39 14038.51 23083.17 15560.65 14576.10 16780.30 238
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Anonymous2024052969.91 13069.02 13172.56 15780.19 12547.65 23977.56 14980.99 13155.45 20069.88 11886.76 8839.24 22482.18 18154.04 18877.10 15887.85 26
CPTT-MVS72.78 8372.08 8774.87 9884.88 6561.41 2984.15 4477.86 18955.27 20167.51 16288.08 7241.93 19681.85 18569.04 7680.01 12081.35 221
XVG-OURS68.76 15467.37 16272.90 15074.32 25057.22 10370.09 27978.81 16555.24 20267.79 15885.81 11836.54 25378.28 25162.04 13575.74 17083.19 189
tfpnnormal62.47 24461.63 24364.99 27374.81 23939.01 31271.22 26273.72 24855.22 20360.21 25880.09 23041.26 21176.98 26930.02 34768.09 26678.97 258
cl____67.18 18766.26 19269.94 20970.20 30145.74 25973.30 23376.83 20755.10 20465.27 20179.57 24047.39 13880.53 21659.41 15869.22 25483.53 180
DIV-MVS_self_test67.18 18766.26 19269.94 20970.20 30145.74 25973.29 23476.83 20755.10 20465.27 20179.58 23947.38 13980.53 21659.43 15769.22 25483.54 179
PC_three_145255.09 20684.46 489.84 4966.68 589.41 1774.24 3791.38 288.42 8
EPNet_dtu61.90 25161.97 24061.68 29372.89 26539.78 30675.85 18865.62 30455.09 20654.56 31079.36 24537.59 24067.02 31539.80 29876.95 15978.25 262
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PVSNet_Blended_VisFu71.45 10570.39 11074.65 10382.01 9058.82 7979.93 11280.35 14355.09 20665.82 19482.16 18449.17 11382.64 17360.34 14878.62 14482.50 203
cl2267.47 18166.45 18170.54 20069.85 30946.49 24973.85 22877.35 20055.07 20965.51 19777.92 26247.64 13281.10 20261.58 14169.32 25084.01 158
miper_ehance_all_eth68.03 17167.24 17070.40 20270.54 29646.21 25473.98 22078.68 17055.07 20966.05 18777.80 26652.16 8481.31 19761.53 14269.32 25083.67 174
PS-MVSNAJ70.51 11769.70 12072.93 14981.52 9855.79 12874.92 20579.00 16255.04 21169.88 11878.66 25247.05 14382.19 18061.61 13979.58 12580.83 231
xiu_mvs_v2_base70.52 11669.75 11872.84 15181.21 10755.63 13275.11 19978.92 16354.92 21269.96 11779.68 23847.00 14782.09 18261.60 14079.37 12880.81 232
MAR-MVS71.51 10370.15 11475.60 8681.84 9459.39 6381.38 9482.90 8954.90 21368.08 14978.70 25147.73 12985.51 10651.68 21284.17 7681.88 213
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
XVG-OURS-SEG-HR68.81 15067.47 15972.82 15374.40 24856.87 11370.59 27279.04 16154.77 21466.99 16986.01 11139.57 22078.21 25262.54 13073.33 19283.37 182
Anonymous2023121169.28 14368.47 14071.73 17080.28 12047.18 24579.98 11082.37 9554.61 21567.24 16584.01 14639.43 22182.41 17855.45 17872.83 20185.62 107
SixPastTwentyTwo61.65 25558.80 26370.20 20575.80 22447.22 24475.59 19069.68 27654.61 21554.11 31479.26 24727.07 32982.96 15943.27 27449.79 35080.41 237
test_040263.25 23861.01 25169.96 20880.00 12954.37 14676.86 16872.02 26054.58 21758.71 27580.79 21535.00 26384.36 13026.41 35764.71 29271.15 335
tttt051767.83 17665.66 20074.33 11476.69 20850.82 19477.86 14273.99 24654.54 21864.64 21682.53 17435.06 26285.50 10755.71 17569.91 24086.67 67
BH-w/o66.85 19565.83 19769.90 21279.29 14352.46 17374.66 21176.65 21054.51 21964.85 21378.12 25845.59 15882.95 16043.26 27575.54 17274.27 308
AUN-MVS68.45 16366.41 18574.57 10879.53 13957.08 11173.93 22575.23 22854.44 22066.69 17581.85 19037.10 24882.89 16262.07 13466.84 27683.75 171
LTVRE_ROB55.42 1663.15 24061.23 24968.92 22676.57 21247.80 23659.92 32976.39 21154.35 22158.67 27682.46 17629.44 31381.49 19342.12 28571.14 22177.46 271
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
ab-mvs66.65 20066.42 18467.37 24376.17 21741.73 29570.41 27676.14 21453.99 22265.98 18883.51 15849.48 10876.24 27648.60 23273.46 19084.14 154
IU-MVS87.77 459.15 6885.53 3053.93 22384.64 379.07 990.87 588.37 10
XVG-ACMP-BASELINE64.36 22862.23 23770.74 19672.35 27452.45 17470.80 27178.45 17953.84 22459.87 26381.10 20516.24 35779.32 23355.64 17771.76 21580.47 235
thisisatest053067.92 17465.78 19874.33 11476.29 21551.03 18976.89 16774.25 24353.67 22565.59 19681.76 19235.15 26185.50 10755.94 17072.47 20786.47 71
PVSNet_BlendedMVS68.56 16067.72 15071.07 19177.03 20350.57 19874.50 21381.52 11053.66 22664.22 22379.72 23749.13 11482.87 16455.82 17273.92 18279.77 250
EG-PatchMatch MVS64.71 22462.87 22970.22 20377.68 18653.48 15677.99 14178.82 16453.37 22756.03 29477.41 27124.75 34384.04 13646.37 24773.42 19173.14 315
bset_n11_16_dypcd65.57 21363.69 22071.19 18670.84 29451.79 18471.37 25870.48 27153.33 22865.19 20876.41 28531.46 30081.76 18865.12 10869.04 25680.01 243
DP-MVS65.68 21063.66 22171.75 16984.93 6356.87 11380.74 10173.16 25353.06 22959.09 27282.35 17736.79 25285.94 9532.82 33169.96 23972.45 323
TR-MVS66.59 20365.07 20871.17 18879.18 14849.63 21673.48 23275.20 23052.95 23067.90 15080.33 22339.81 21883.68 14543.20 27673.56 18880.20 239
ET-MVSNet_ETH3D67.96 17365.72 19974.68 10176.67 20955.62 13375.11 19974.74 23652.91 23160.03 26080.12 22833.68 27682.64 17361.86 13776.34 16685.78 96
QAPM70.05 12668.81 13473.78 12276.54 21353.43 15783.23 6083.48 7152.89 23265.90 19186.29 10441.55 20586.49 8251.01 21478.40 14681.42 217
OpenMVScopyleft61.03 968.85 14967.56 15372.70 15574.26 25153.99 14981.21 9681.34 12052.70 23362.75 23485.55 12138.86 22884.14 13448.41 23483.01 8379.97 244
pmmvs663.69 23262.82 23166.27 25570.63 29539.27 31173.13 23675.47 22452.69 23459.75 26682.30 17939.71 21977.03 26847.40 23864.35 29582.53 201
IterMVS62.79 24261.27 24767.35 24469.37 31452.04 18171.17 26368.24 28952.63 23559.82 26476.91 27537.32 24372.36 28952.80 20063.19 30477.66 269
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_tets68.18 16866.36 18773.63 13375.61 22855.35 13880.77 10078.56 17352.48 23664.27 22184.10 14427.45 32681.84 18663.45 12570.56 22883.69 173
jajsoiax68.25 16666.45 18173.66 13075.62 22755.49 13580.82 9978.51 17552.33 23764.33 21984.11 14328.28 32081.81 18763.48 12470.62 22683.67 174
TAMVS66.78 19865.27 20671.33 18479.16 15053.67 15173.84 22969.59 27852.32 23865.28 20081.72 19344.49 17577.40 26442.32 28378.66 14382.92 195
CDS-MVSNet66.80 19765.37 20371.10 19078.98 15253.13 16373.27 23571.07 26652.15 23964.72 21480.23 22743.56 18277.10 26645.48 25878.88 13783.05 194
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
PVSNet_Blended68.59 15667.72 15071.19 18677.03 20350.57 19872.51 24581.52 11051.91 24064.22 22377.77 26849.13 11482.87 16455.82 17279.58 12580.14 241
mvs_anonymous68.03 17167.51 15769.59 21672.08 27744.57 27271.99 25275.23 22851.67 24167.06 16882.57 17254.68 5477.94 25556.56 16775.71 17186.26 84
xiu_mvs_v1_base_debu68.58 15767.28 16672.48 15978.19 17357.19 10575.28 19475.09 23251.61 24270.04 11181.41 19932.79 28679.02 24263.81 11977.31 15381.22 223
xiu_mvs_v1_base68.58 15767.28 16672.48 15978.19 17357.19 10575.28 19475.09 23251.61 24270.04 11181.41 19932.79 28679.02 24263.81 11977.31 15381.22 223
xiu_mvs_v1_base_debi68.58 15767.28 16672.48 15978.19 17357.19 10575.28 19475.09 23251.61 24270.04 11181.41 19932.79 28679.02 24263.81 11977.31 15381.22 223
MVSTER67.16 18965.58 20271.88 16770.37 30049.70 21270.25 27878.45 17951.52 24569.16 13280.37 22038.45 23182.50 17560.19 14971.46 21983.44 181
CNLPA65.43 21564.02 21469.68 21478.73 15958.07 9077.82 14470.71 26951.49 24661.57 25283.58 15738.23 23570.82 29643.90 26970.10 23780.16 240
原ACMM174.69 10085.39 5459.40 6283.42 7451.47 24770.27 10886.61 9648.61 12186.51 8153.85 19187.96 4378.16 263
miper_enhance_ethall67.11 19066.09 19470.17 20669.21 31545.98 25772.85 24078.41 18251.38 24865.65 19575.98 29151.17 9581.25 19860.82 14469.32 25083.29 186
MSDG61.81 25459.23 26069.55 21972.64 26852.63 16970.45 27575.81 21951.38 24853.70 31776.11 28729.52 31181.08 20437.70 30665.79 28674.93 300
test20.0353.87 30154.02 30053.41 33061.47 35328.11 36361.30 32459.21 33351.34 25052.09 32677.43 27033.29 28158.55 34329.76 34860.27 32273.58 314
MVSFormer71.50 10470.38 11174.88 9778.76 15757.15 10882.79 6878.48 17651.26 25169.49 12383.22 16143.99 17983.24 15366.06 9779.37 12884.23 151
test_djsdf69.45 14267.74 14974.58 10774.57 24454.92 14282.79 6878.48 17651.26 25165.41 19983.49 15938.37 23283.24 15366.06 9769.25 25385.56 108
PAPM67.92 17466.69 17871.63 17478.09 17649.02 22277.09 16181.24 12551.04 25360.91 25583.98 14747.71 13084.99 11540.81 29279.32 13180.90 230
MVS_030458.51 27157.36 27461.96 29270.04 30541.83 29369.40 28565.46 30550.73 25453.30 32374.06 30722.65 34670.18 30342.16 28468.44 26373.86 313
miper_lstm_enhance62.03 25060.88 25365.49 26866.71 33146.25 25256.29 34175.70 22050.68 25561.27 25375.48 29640.21 21568.03 31056.31 16965.25 28982.18 207
gg-mvs-nofinetune57.86 27856.43 28262.18 29072.62 26935.35 34066.57 29556.33 34450.65 25657.64 28557.10 35630.65 30276.36 27437.38 30878.88 13774.82 302
TAPA-MVS59.36 1066.60 20165.20 20770.81 19476.63 21048.75 22676.52 17380.04 14650.64 25765.24 20584.93 12739.15 22578.54 24836.77 31176.88 16085.14 124
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
MVP-Stereo65.41 21663.80 21870.22 20377.62 19255.53 13476.30 17778.53 17450.59 25856.47 29278.65 25339.84 21782.68 17144.10 26872.12 21372.44 324
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
PCF-MVS61.88 870.95 11069.49 12375.35 9077.63 18855.71 12976.04 18581.81 10550.30 25969.66 12185.40 12552.51 7784.89 12051.82 20980.24 11885.45 113
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
baseline263.42 23461.26 24869.89 21372.55 27147.62 24071.54 25668.38 28850.11 26054.82 30675.55 29543.06 18680.96 20548.13 23567.16 27581.11 226
DWT-MVSNet_test61.90 25159.93 25867.83 23771.98 28046.09 25671.03 26969.71 27450.09 26158.51 27970.62 32530.21 30777.63 26049.28 22767.91 26779.78 249
test-LLR58.15 27658.13 27158.22 30968.57 31944.80 26865.46 30457.92 33850.08 26255.44 29869.82 33332.62 29157.44 34649.66 22473.62 18572.41 325
test0.0.03 153.32 30653.59 30352.50 33462.81 34929.45 36159.51 33054.11 35150.08 26254.40 31274.31 30532.62 29155.92 35430.50 34563.95 29872.15 330
COLMAP_ROBcopyleft52.97 1761.27 26058.81 26268.64 22974.63 24252.51 17278.42 13773.30 25149.92 26450.96 33081.51 19823.06 34579.40 23131.63 33965.85 28474.01 311
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
tpmvs58.47 27256.95 27863.03 28670.20 30141.21 29967.90 29267.23 29449.62 26554.73 30870.84 32334.14 27176.24 27636.64 31561.29 31771.64 331
thisisatest051565.83 20963.50 22372.82 15373.75 25449.50 21771.32 26073.12 25449.39 26663.82 22576.50 28434.95 26484.84 12353.20 19875.49 17384.13 155
HY-MVS56.14 1364.55 22763.89 21566.55 25174.73 24141.02 30069.96 28074.43 23949.29 26761.66 25080.92 21047.43 13776.68 27144.91 26371.69 21681.94 211
MIMVSNet155.17 29654.31 29757.77 31470.03 30632.01 35565.68 30264.81 30949.19 26846.75 34676.00 28825.53 33964.04 32628.65 35162.13 31177.26 275
SCA60.49 26258.38 26766.80 24774.14 25348.06 23463.35 31563.23 31949.13 26959.33 27172.10 31637.45 24174.27 28444.17 26562.57 30878.05 265
testgi51.90 31052.37 30750.51 33960.39 36023.55 37058.42 33358.15 33649.03 27051.83 32779.21 24822.39 34755.59 35529.24 35062.64 30772.40 327
MIMVSNet57.35 28057.07 27658.22 30974.21 25237.18 32462.46 31860.88 33048.88 27155.29 30175.99 29031.68 29962.04 33231.87 33472.35 20975.43 294
gm-plane-assit71.40 28941.72 29748.85 27273.31 31182.48 17748.90 230
cascas65.98 20863.42 22473.64 13277.26 19952.58 17072.26 24977.21 20248.56 27361.21 25474.60 30332.57 29485.82 9950.38 21876.75 16482.52 202
PLCcopyleft56.13 1465.09 22163.21 22670.72 19781.04 11054.87 14378.57 13277.47 19648.51 27455.71 29581.89 18933.71 27579.71 22641.66 28970.37 23177.58 270
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
LS3D64.71 22462.50 23471.34 18379.72 13655.71 12979.82 11474.72 23748.50 27556.62 29084.62 13233.59 27882.34 17929.65 34975.23 17475.97 286
anonymousdsp67.00 19364.82 21073.57 13570.09 30456.13 12176.35 17677.35 20048.43 27664.99 21280.84 21433.01 28380.34 22064.66 11267.64 27284.23 151
无先验79.66 11874.30 24248.40 27780.78 21253.62 19279.03 257
114514_t70.83 11169.56 12174.64 10486.21 3454.63 14482.34 7881.81 10548.22 27863.01 23185.83 11640.92 21387.10 6057.91 16179.79 12182.18 207
tpm57.34 28158.16 26954.86 32371.80 28334.77 34267.47 29456.04 34748.20 27960.10 25976.92 27437.17 24653.41 35940.76 29365.01 29076.40 285
MDA-MVSNet-bldmvs53.87 30150.81 31263.05 28566.25 33448.58 22856.93 33963.82 31548.09 28041.22 35670.48 32930.34 30568.00 31134.24 32645.92 35572.57 321
XXY-MVS60.68 26161.67 24257.70 31570.43 29838.45 31764.19 31366.47 29848.05 28163.22 22880.86 21249.28 11160.47 33645.25 26267.28 27474.19 309
F-COLMAP63.05 24160.87 25469.58 21876.99 20553.63 15378.12 14076.16 21347.97 28252.41 32581.61 19527.87 32278.11 25340.07 29566.66 27877.00 279
Patchmatch-RL test58.16 27555.49 28766.15 25767.92 32448.89 22560.66 32851.07 35647.86 28359.36 26862.71 35334.02 27372.27 29156.41 16859.40 32477.30 273
D2MVS62.30 24760.29 25668.34 23466.46 33348.42 23065.70 30173.42 25047.71 28458.16 28275.02 29930.51 30377.71 25953.96 19071.68 21778.90 259
ANet_high41.38 32737.47 33253.11 33139.73 37324.45 36956.94 33869.69 27547.65 28526.04 36452.32 35812.44 36162.38 33121.80 36010.61 37172.49 322
CostFormer64.04 22962.51 23368.61 23071.88 28145.77 25871.30 26170.60 27047.55 28664.31 22076.61 28041.63 20179.62 22949.74 22269.00 25880.42 236
PatchmatchNetpermissive59.84 26658.24 26864.65 27573.05 26246.70 24869.42 28462.18 32547.55 28658.88 27471.96 31834.49 26869.16 30542.99 27863.60 30078.07 264
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
KD-MVS_self_test55.22 29553.89 30159.21 30357.80 36427.47 36457.75 33674.32 24147.38 28850.90 33170.00 33228.45 31970.30 30140.44 29457.92 32979.87 246
ITE_SJBPF62.09 29166.16 33544.55 27364.32 31347.36 28955.31 30080.34 22219.27 35362.68 33036.29 31962.39 31079.04 256
KD-MVS_2432*160053.45 30351.50 31059.30 30062.82 34737.14 32555.33 34271.79 26247.34 29055.09 30370.52 32721.91 35070.45 29935.72 32142.97 35870.31 338
miper_refine_blended53.45 30351.50 31059.30 30062.82 34737.14 32555.33 34271.79 26247.34 29055.09 30370.52 32721.91 35070.45 29935.72 32142.97 35870.31 338
OurMVSNet-221017-061.37 25958.63 26569.61 21572.05 27848.06 23473.93 22572.51 25747.23 29254.74 30780.92 21021.49 35281.24 19948.57 23356.22 33479.53 252
tpmrst58.24 27458.70 26456.84 31666.97 32834.32 34669.57 28361.14 32947.17 29358.58 27871.60 31941.28 21060.41 33749.20 22862.84 30675.78 290
PVSNet50.76 1958.40 27357.39 27361.42 29575.53 23044.04 27661.43 32263.45 31747.04 29456.91 28873.61 31027.00 33064.76 32439.12 30072.40 20875.47 293
FMVSNet555.86 29054.93 29058.66 30871.05 29136.35 33464.18 31462.48 32446.76 29550.66 33574.73 30225.80 33764.04 32633.11 33065.57 28775.59 292
jason69.65 13668.39 14373.43 14078.27 17156.88 11277.12 16073.71 24946.53 29669.34 12783.22 16143.37 18379.18 23564.77 11179.20 13384.23 151
jason: jason.
MS-PatchMatch62.42 24561.46 24565.31 27175.21 23552.10 17872.05 25174.05 24546.41 29757.42 28774.36 30434.35 27077.57 26245.62 25573.67 18466.26 348
1112_ss64.00 23063.36 22565.93 26279.28 14442.58 28771.35 25972.36 25946.41 29760.55 25777.89 26446.27 15373.28 28646.18 24869.97 23881.92 212
lupinMVS69.57 13868.28 14473.44 13978.76 15757.15 10876.57 17173.29 25246.19 29969.49 12382.18 18143.99 17979.23 23464.66 11279.37 12883.93 159
testdata64.66 27481.52 9852.93 16465.29 30746.09 30073.88 6687.46 8038.08 23766.26 32053.31 19778.48 14574.78 303
UnsupCasMVSNet_eth53.16 30852.47 30655.23 32159.45 36133.39 35259.43 33169.13 28345.98 30150.35 33772.32 31529.30 31458.26 34442.02 28744.30 35674.05 310
AllTest57.08 28354.65 29264.39 27671.44 28649.03 22069.92 28167.30 29145.97 30247.16 34379.77 23517.47 35467.56 31233.65 32859.16 32576.57 283
TestCases64.39 27671.44 28649.03 22067.30 29145.97 30247.16 34379.77 23517.47 35467.56 31233.65 32859.16 32576.57 283
WTY-MVS59.75 26760.39 25557.85 31372.32 27537.83 32161.05 32764.18 31445.95 30461.91 24779.11 24947.01 14660.88 33542.50 28269.49 24974.83 301
IterMVS-SCA-FT62.49 24361.52 24465.40 26971.99 27950.80 19571.15 26569.63 27745.71 30560.61 25677.93 26137.45 24165.99 32155.67 17663.50 30179.42 253
旧先验276.08 18245.32 30676.55 3565.56 32358.75 159
OpenMVS_ROBcopyleft52.78 1860.03 26458.14 27065.69 26670.47 29744.82 26775.33 19370.86 26845.04 30756.06 29376.00 28826.89 33179.65 22735.36 32367.29 27372.60 320
TinyColmap54.14 29851.72 30861.40 29666.84 33041.97 29166.52 29668.51 28744.81 30842.69 35575.77 29211.66 36372.94 28731.96 33356.77 33269.27 344
MDTV_nov1_ep1357.00 27772.73 26738.26 31865.02 31064.73 31144.74 30955.46 29772.48 31432.61 29370.47 29837.47 30767.75 271
新几何170.76 19585.66 4661.13 3566.43 30044.68 31070.29 10686.64 9441.29 20975.23 27949.72 22381.75 10275.93 288
112168.53 16167.16 17272.63 15685.64 4861.14 3473.95 22266.46 29944.61 31170.28 10786.68 9341.42 20780.78 21253.62 19281.79 9875.97 286
Patchmtry57.16 28256.47 28159.23 30269.17 31634.58 34562.98 31663.15 32044.53 31256.83 28974.84 30035.83 25768.71 30740.03 29660.91 31874.39 307
ppachtmachnet_test58.06 27755.38 28866.10 25969.51 31148.99 22368.01 29166.13 30144.50 31354.05 31570.74 32432.09 29772.34 29036.68 31456.71 33376.99 281
PatchT53.17 30753.44 30452.33 33568.29 32325.34 36858.21 33454.41 35044.46 31454.56 31069.05 33633.32 28060.94 33436.93 31061.76 31570.73 337
EPMVS53.96 29953.69 30254.79 32466.12 33631.96 35662.34 32049.05 35944.42 31555.54 29671.33 32130.22 30656.70 34941.65 29062.54 30975.71 291
pmmvs461.48 25859.39 25967.76 23871.57 28553.86 15071.42 25765.34 30644.20 31659.46 26777.92 26235.90 25674.71 28143.87 27064.87 29174.71 304
dp51.89 31151.60 30952.77 33368.44 32232.45 35462.36 31954.57 34944.16 31749.31 33867.91 33828.87 31756.61 35033.89 32754.89 33769.24 345
PatchMatch-RL56.25 28854.55 29361.32 29777.06 20256.07 12365.57 30354.10 35244.13 31853.49 32271.27 32225.20 34066.78 31636.52 31763.66 29961.12 351
our_test_356.49 28454.42 29462.68 28869.51 31145.48 26466.08 29961.49 32844.11 31950.73 33469.60 33533.05 28268.15 30938.38 30356.86 33174.40 306
USDC56.35 28754.24 29862.69 28764.74 34140.31 30365.05 30973.83 24743.93 32047.58 34177.71 26915.36 35975.05 28038.19 30561.81 31472.70 319
PM-MVS52.33 30950.19 31458.75 30762.10 35145.14 26665.75 30040.38 36943.60 32153.52 32072.65 3139.16 36965.87 32250.41 21754.18 34065.24 350
pmmvs-eth3d58.81 27056.31 28366.30 25467.61 32552.42 17572.30 24864.76 31043.55 32254.94 30574.19 30628.95 31572.60 28843.31 27357.21 33073.88 312
new-patchmatchnet47.56 32047.73 32147.06 34158.81 3629.37 37648.78 35459.21 33343.28 32344.22 35268.66 33725.67 33857.20 34831.57 34149.35 35174.62 305
Test_1112_low_res62.32 24661.77 24164.00 27879.08 15139.53 30968.17 28970.17 27243.25 32459.03 27379.90 23144.08 17771.24 29543.79 27168.42 26481.25 222
RPMNet61.53 25658.42 26670.86 19369.96 30752.07 17965.31 30781.36 11643.20 32559.36 26870.15 33135.37 25985.47 10936.42 31864.65 29375.06 296
tpm262.07 24960.10 25767.99 23672.79 26643.86 27771.05 26866.85 29743.14 32662.77 23275.39 29738.32 23380.80 21141.69 28868.88 25979.32 254
JIA-IIPM51.56 31247.68 32263.21 28364.61 34250.73 19647.71 35558.77 33542.90 32748.46 34051.72 35924.97 34170.24 30236.06 32053.89 34168.64 346
131464.61 22663.21 22668.80 22771.87 28247.46 24273.95 22278.39 18442.88 32859.97 26176.60 28138.11 23679.39 23254.84 18272.32 21079.55 251
HyFIR lowres test65.67 21163.01 22873.67 12979.97 13055.65 13169.07 28775.52 22342.68 32963.53 22677.95 26040.43 21481.64 18946.01 25071.91 21483.73 172
CR-MVSNet59.91 26557.90 27265.96 26169.96 30752.07 17965.31 30763.15 32042.48 33059.36 26874.84 30035.83 25770.75 29745.50 25764.65 29375.06 296
test22283.14 7758.68 8172.57 24463.45 31741.78 33167.56 16186.12 10737.13 24778.73 14274.98 299
TDRefinement53.44 30550.72 31361.60 29464.31 34446.96 24670.89 27065.27 30841.78 33144.61 35177.98 25911.52 36466.36 31928.57 35251.59 34571.49 332
sss56.17 28956.57 28054.96 32266.93 32936.32 33657.94 33561.69 32741.67 33358.64 27775.32 29838.72 22956.25 35242.04 28666.19 28272.31 328
PVSNet_043.31 2047.46 32145.64 32452.92 33267.60 32644.65 27054.06 34654.64 34841.59 33446.15 34758.75 35530.99 30158.66 34232.18 33224.81 36455.46 357
MVS67.37 18266.33 18870.51 20175.46 23150.94 19073.95 22281.85 10441.57 33562.54 23978.57 25647.98 12685.47 10952.97 19982.05 9775.14 295
Anonymous2024052155.30 29354.41 29557.96 31260.92 35941.73 29571.09 26771.06 26741.18 33648.65 33973.31 31116.93 35659.25 34142.54 28164.01 29672.90 317
Anonymous2023120655.10 29755.30 28954.48 32569.81 31033.94 34962.91 31762.13 32641.08 33755.18 30275.65 29332.75 28956.59 35130.32 34667.86 26872.91 316
MDA-MVSNet_test_wron50.71 31548.95 31656.00 32061.17 35541.84 29251.90 34956.45 34240.96 33844.79 35067.84 33930.04 30955.07 35836.71 31350.69 34871.11 336
YYNet150.73 31448.96 31556.03 31961.10 35641.78 29451.94 34856.44 34340.94 33944.84 34967.80 34030.08 30855.08 35736.77 31150.71 34771.22 333
CHOSEN 1792x268865.08 22262.84 23071.82 16881.49 10056.26 11966.32 29874.20 24440.53 34063.16 23078.65 25341.30 20877.80 25845.80 25274.09 18081.40 218
pmmvs556.47 28555.68 28658.86 30661.41 35436.71 33166.37 29762.75 32240.38 34153.70 31776.62 27934.56 26667.05 31440.02 29765.27 28872.83 318
MDTV_nov1_ep13_2view25.89 36661.22 32540.10 34251.10 32932.97 28438.49 30278.61 260
tpm cat159.25 26956.95 27866.15 25772.19 27646.96 24668.09 29065.76 30240.03 34357.81 28470.56 32638.32 23374.51 28238.26 30461.50 31677.00 279
test-mter56.42 28655.82 28558.22 30968.57 31944.80 26865.46 30457.92 33839.94 34455.44 29869.82 33321.92 34957.44 34649.66 22473.62 18572.41 325
UnsupCasMVSNet_bld50.07 31648.87 31753.66 32860.97 35833.67 35057.62 33764.56 31239.47 34547.38 34264.02 35127.47 32559.32 34034.69 32543.68 35767.98 347
TESTMET0.1,155.28 29454.90 29156.42 31766.56 33243.67 27965.46 30456.27 34539.18 34653.83 31667.44 34224.21 34455.46 35648.04 23673.11 19870.13 340
ADS-MVSNet251.33 31348.76 31859.07 30566.02 33744.60 27150.90 35059.76 33236.90 34750.74 33266.18 34626.38 33263.11 32827.17 35354.76 33869.50 342
ADS-MVSNet48.48 31847.77 32050.63 33866.02 33729.92 36050.90 35050.87 35836.90 34750.74 33266.18 34626.38 33252.47 36027.17 35354.76 33869.50 342
RPSCF55.80 29154.22 29960.53 29965.13 34042.91 28664.30 31257.62 34036.84 34958.05 28382.28 18028.01 32156.24 35337.14 30958.61 32782.44 205
Patchmatch-test49.08 31748.28 31951.50 33764.40 34330.85 35945.68 35748.46 36235.60 35046.10 34872.10 31634.47 26946.37 36327.08 35560.65 32177.27 274
CHOSEN 280x42047.83 31946.36 32352.24 33667.37 32749.78 21138.91 36343.11 36735.00 35143.27 35463.30 35228.95 31549.19 36236.53 31660.80 32057.76 355
N_pmnet39.35 32940.28 32936.54 34763.76 3451.62 38049.37 3530.76 38034.62 35243.61 35366.38 34526.25 33442.57 36626.02 35851.77 34465.44 349
PMMVS53.96 29953.26 30556.04 31862.60 35050.92 19261.17 32656.09 34632.81 35353.51 32166.84 34434.04 27259.93 33944.14 26768.18 26557.27 356
CMPMVSbinary42.80 2157.81 27955.97 28463.32 28160.98 35747.38 24364.66 31169.50 27932.06 35446.83 34577.80 26629.50 31271.36 29448.68 23173.75 18371.21 334
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
CVMVSNet59.63 26859.14 26161.08 29874.47 24538.84 31475.20 19768.74 28631.15 35558.24 28176.51 28232.39 29568.58 30849.77 22165.84 28575.81 289
FPMVS42.18 32641.11 32845.39 34258.03 36341.01 30149.50 35253.81 35330.07 35633.71 36164.03 34911.69 36252.08 36114.01 36655.11 33643.09 362
EU-MVSNet55.61 29254.41 29559.19 30465.41 33933.42 35172.44 24671.91 26128.81 35751.27 32873.87 30824.76 34269.08 30643.04 27758.20 32875.06 296
LF4IMVS42.95 32442.26 32645.04 34348.30 36832.50 35354.80 34448.49 36128.03 35840.51 35870.16 3309.24 36843.89 36531.63 33949.18 35258.72 353
MVS-HIRNet45.52 32244.48 32548.65 34068.49 32134.05 34859.41 33244.50 36627.03 35937.96 36050.47 36226.16 33564.10 32526.74 35659.52 32347.82 360
PMVScopyleft28.69 2236.22 33133.29 33545.02 34436.82 37535.98 33954.68 34548.74 36026.31 36021.02 36551.61 3602.88 37760.10 3389.99 37047.58 35338.99 365
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
pmmvs344.92 32341.95 32753.86 32752.58 36643.55 28062.11 32146.90 36526.05 36140.63 35760.19 35411.08 36657.91 34531.83 33846.15 35460.11 352
PMMVS227.40 33425.91 33731.87 35039.46 3746.57 37731.17 36428.52 37423.96 36220.45 36648.94 3634.20 37437.94 36916.51 36319.97 36651.09 358
Gipumacopyleft34.77 33231.91 33643.33 34562.05 35237.87 32020.39 36667.03 29523.23 36318.41 36725.84 3674.24 37362.73 32914.71 36551.32 34629.38 366
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new_pmnet34.13 33334.29 33433.64 34852.63 36518.23 37444.43 36033.90 37222.81 36430.89 36253.18 35710.48 36735.72 37020.77 36139.51 36046.98 361
LCM-MVSNet40.30 32835.88 33353.57 32942.24 37029.15 36245.21 35960.53 33122.23 36528.02 36350.98 3613.72 37561.78 33331.22 34438.76 36269.78 341
E-PMN23.77 33522.73 33926.90 35142.02 37120.67 37142.66 36135.70 37017.43 36610.28 37225.05 3686.42 37142.39 36710.28 36914.71 36817.63 367
EMVS22.97 33621.84 34026.36 35240.20 37219.53 37341.95 36234.64 37117.09 3679.73 37322.83 3697.29 37042.22 3689.18 37113.66 36917.32 368
DSMNet-mixed39.30 33038.72 33041.03 34651.22 36719.66 37245.53 35831.35 37315.83 36839.80 35967.42 34322.19 34845.13 36422.43 35952.69 34358.31 354
MVEpermissive17.77 2321.41 33717.77 34232.34 34934.34 37625.44 36716.11 36724.11 37511.19 36913.22 36931.92 3651.58 37830.95 37110.47 36817.03 36740.62 364
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DeepMVS_CXcopyleft12.03 35517.97 37710.91 37510.60 3787.46 37011.07 37128.36 3663.28 37611.29 3748.01 3729.74 37313.89 369
wuyk23d13.32 34012.52 34315.71 35447.54 36926.27 36531.06 3651.98 3794.93 3715.18 3741.94 3740.45 37918.54 3736.81 37312.83 3702.33 371
test_method19.68 33818.10 34124.41 35313.68 3783.11 37912.06 36942.37 3682.00 37211.97 37036.38 3645.77 37229.35 37215.06 36423.65 36540.76 363
tmp_tt9.43 34111.14 3444.30 3562.38 3794.40 37813.62 36816.08 3770.39 37315.89 36813.06 37015.80 3585.54 37512.63 36710.46 3722.95 370
EGC-MVSNET42.47 32538.48 33154.46 32674.33 24948.73 22770.33 27751.10 3550.03 3740.18 37567.78 34113.28 36066.49 31818.91 36250.36 34948.15 359
testmvs4.52 3446.03 3470.01 3580.01 3800.00 38253.86 3470.00 3810.01 3750.04 3760.27 3750.00 3810.00 3760.04 3740.00 3740.03 373
test1234.73 3436.30 3460.02 3570.01 3800.01 38156.36 3400.00 3810.01 3750.04 3760.21 3760.01 3800.00 3760.03 3750.00 3740.04 372
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 3780.00 3770.00 3810.00 3760.00 3760.00 3740.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 3780.00 3770.00 3810.00 3760.00 3760.00 3740.00 374
cdsmvs_eth3d_5k17.50 33923.34 3380.00 3590.00 3820.00 3820.00 37078.63 1710.00 3770.00 37882.18 18149.25 1120.00 3760.00 3760.00 3740.00 374
pcd_1.5k_mvsjas3.92 3455.23 3480.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 3780.00 37747.05 1430.00 3760.00 3760.00 3740.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 3780.00 3770.00 3810.00 3760.00 3760.00 3740.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 3780.00 3770.00 3810.00 3760.00 3760.00 3740.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 3780.00 3770.00 3810.00 3760.00 3760.00 3740.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 3780.00 3770.00 3810.00 3760.00 3760.00 3740.00 374
ab-mvs-re6.49 3428.65 3450.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 37877.89 2640.00 3810.00 3760.00 3760.00 3740.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3820.00 3700.00 3810.00 3770.00 3780.00 3770.00 3810.00 3760.00 3760.00 3740.00 374
MSC_two_6792asdad79.95 387.24 1461.04 3685.62 2890.96 179.31 790.65 887.85 26
No_MVS79.95 387.24 1461.04 3685.62 2890.96 179.31 790.65 887.85 26
eth-test20.00 382
eth-test0.00 382
OPU-MVS79.83 687.54 1160.93 4087.82 789.89 4767.01 190.33 1173.16 4991.15 488.23 13
test_0728_SECOND79.19 1587.82 359.11 7187.85 587.15 690.84 378.66 1390.61 1187.62 37
GSMVS78.05 265
test_part287.58 960.47 4983.42 12
sam_mvs134.74 26578.05 265
sam_mvs33.43 279
ambc65.13 27263.72 34637.07 32747.66 35678.78 16754.37 31371.42 32011.24 36580.94 20645.64 25453.85 34277.38 272
MTGPAbinary80.97 132
test_post168.67 2883.64 37232.39 29569.49 30444.17 265
test_post3.55 37333.90 27466.52 317
patchmatchnet-post64.03 34934.50 26774.27 284
GG-mvs-BLEND62.34 28971.36 29037.04 32869.20 28657.33 34154.73 30865.48 34830.37 30477.82 25734.82 32474.93 17572.17 329
MTMP86.03 1917.08 376
test9_res75.28 3188.31 3783.81 165
agg_prior273.09 5087.93 4484.33 147
agg_prior85.04 5759.96 5481.04 12974.68 5284.04 136
test_prior462.51 1782.08 84
test_prior76.69 6284.20 6957.27 10184.88 4186.43 8386.38 72
新几何276.12 180
旧先验183.04 8053.15 16167.52 29087.85 7744.08 17780.76 10778.03 268
原ACMM279.02 125
testdata272.18 29346.95 244
segment_acmp54.23 58
test1277.76 4684.52 6658.41 8583.36 7772.93 8354.61 5588.05 4088.12 4086.81 64
plane_prior781.41 10155.96 125
plane_prior681.20 10856.24 12045.26 167
plane_prior584.01 5587.21 5668.16 8080.58 11084.65 140
plane_prior486.10 108
plane_prior181.27 106
n20.00 381
nn0.00 381
door-mid47.19 364
lessismore_v069.91 21171.42 28847.80 23650.90 35750.39 33675.56 29427.43 32781.33 19645.91 25134.10 36380.59 234
test1183.47 72
door47.60 363
HQP5-MVS54.94 140
BP-MVS67.04 92
HQP4-MVS67.85 15286.93 6584.32 148
HQP3-MVS83.90 6080.35 116
HQP2-MVS45.46 161
NP-MVS80.98 11156.05 12485.54 122
ACMMP++_ref74.07 181
ACMMP++72.16 212
Test By Simon48.33 124