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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
APDe-MVS80.16 180.59 178.86 1786.64 960.02 3688.12 186.42 462.94 3782.40 192.12 159.64 589.76 378.70 388.32 1386.79 35
HPM-MVS++79.88 280.14 279.10 1088.17 164.80 186.59 483.70 3565.37 1378.78 690.64 658.63 1087.24 2879.00 290.37 285.26 87
CNVR-MVS79.84 379.97 379.45 487.90 262.17 1784.37 1985.03 1166.96 477.58 990.06 1859.47 789.13 678.67 489.73 387.03 30
SteuartSystems-ACMMP79.48 479.31 479.98 183.01 5362.18 1687.60 285.83 666.69 978.03 890.98 354.26 3190.06 178.42 589.02 687.69 12
Skip Steuart: Steuart Systems R&D Blog.
DeepPCF-MVS69.58 179.03 579.00 579.13 884.92 3960.32 3483.03 3685.33 862.86 4080.17 290.03 1961.76 188.95 874.21 1788.67 988.12 7
ACMMP_Plus78.77 678.78 678.74 1885.44 2861.04 2883.84 2785.16 962.88 3978.10 791.26 252.51 4788.39 1079.34 190.52 186.78 36
NCCC78.58 778.31 779.39 587.51 362.61 1485.20 1684.42 1766.73 874.67 2689.38 2855.30 2389.18 574.19 1887.34 2586.38 38
DeepC-MVS69.38 278.56 878.14 1079.83 283.60 4761.62 2184.17 2386.85 263.23 3273.84 3590.25 1657.68 1189.96 274.62 1689.03 587.89 9
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + MP.78.44 978.28 878.90 1584.96 3661.41 2484.03 2583.82 3359.34 10779.37 489.76 2459.84 387.62 2576.69 986.74 3387.68 13
MP-MVScopyleft78.35 1078.26 978.64 1986.54 1163.47 586.02 883.55 3863.89 2873.60 3990.60 754.85 2786.72 4077.20 888.06 1885.74 63
APD-MVScopyleft78.02 1178.04 1177.98 2786.44 1360.81 3185.52 1484.36 1860.61 7079.05 590.30 1455.54 2288.32 1373.48 2587.03 2884.83 98
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HFP-MVS78.01 1277.65 1279.10 1086.71 662.81 986.29 584.32 1962.82 4173.96 3090.50 1053.20 4488.35 1174.02 1987.05 2686.13 49
#test#77.83 1377.41 1579.10 1086.71 662.81 985.69 1384.32 1961.61 5873.96 3090.50 1053.20 4488.35 1173.68 2287.05 2686.13 49
ACMMPR77.71 1477.23 1779.16 686.75 562.93 886.29 584.24 2162.82 4173.55 4090.56 949.80 6988.24 1474.02 1987.03 2886.32 45
SD-MVS77.70 1577.62 1377.93 2884.47 4261.88 2084.55 1883.87 3160.37 7579.89 389.38 2854.97 2585.58 6776.12 1084.94 4286.33 44
region2R77.67 1677.18 1879.15 786.76 462.95 786.29 584.16 2362.81 4373.30 4290.58 849.90 6788.21 1573.78 2187.03 2886.29 47
MPTG77.61 1777.36 1678.35 2286.08 1963.57 283.37 3280.97 9265.13 1575.77 1490.88 448.63 9786.66 4177.23 688.17 1584.81 99
MCST-MVS77.48 1877.45 1477.54 3086.67 858.36 5483.22 3486.93 156.91 13174.91 2288.19 4259.15 887.68 2473.67 2387.45 2486.57 37
HPM-MVS77.28 1976.85 2078.54 2085.00 3560.81 3182.91 3885.08 1062.57 4473.09 4589.97 2150.90 6387.48 2675.30 1186.85 3187.33 25
DeepC-MVS_fast68.24 377.25 2076.63 2379.12 986.15 1760.86 3084.71 1784.85 1461.98 5573.06 4688.88 3653.72 3889.06 768.27 4388.04 1987.42 21
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
XVS77.17 2176.56 2479.00 1386.32 1462.62 1285.83 983.92 2764.55 1972.17 5590.01 2047.95 10688.01 1971.55 3286.74 3386.37 41
CP-MVS77.12 2276.68 2278.43 2186.05 2163.18 687.55 383.45 4162.44 4772.68 5090.50 1048.18 10487.34 2773.59 2485.71 3984.76 103
CSCG76.92 2376.75 2177.41 3283.96 4659.60 4082.95 3786.50 360.78 6875.27 1784.83 8760.76 286.56 4667.86 4787.87 2386.06 52
MTAPA76.90 2476.42 2578.35 2286.08 1963.57 274.92 17780.97 9265.13 1575.77 1490.88 448.63 9786.66 4177.23 688.17 1584.81 99
test_prior376.89 2576.96 1976.69 3984.20 4457.27 6481.75 5584.88 1260.37 7575.01 1889.06 3156.22 1786.43 5072.19 2888.96 786.38 38
PGM-MVS76.77 2676.06 2778.88 1686.14 1862.73 1182.55 4583.74 3461.71 5672.45 5490.34 1348.48 10188.13 1672.32 2786.85 3185.78 58
mPP-MVS76.54 2775.93 2978.34 2486.47 1263.50 485.74 1282.28 6062.90 3871.77 5890.26 1546.61 12486.55 4771.71 3185.66 4084.97 95
CDPH-MVS76.31 2875.67 3178.22 2585.35 3159.14 4581.31 6584.02 2456.32 14074.05 2988.98 3453.34 4287.92 2169.23 4088.42 1087.59 15
train_agg76.27 2976.15 2676.64 4285.58 2661.59 2281.62 5981.26 8355.86 14774.93 2088.81 3753.70 3984.68 9175.24 1388.33 1183.65 142
agg_prior376.13 3075.89 3076.85 3785.76 2262.02 1881.65 5781.01 9155.51 15573.73 3688.60 4153.23 4384.90 8475.24 1388.33 1183.65 142
ACMMPcopyleft76.02 3175.33 3378.07 2685.20 3261.91 1985.49 1584.44 1663.04 3569.80 8089.74 2545.43 13587.16 3272.01 3082.87 5585.14 89
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
agg_prior175.94 3276.01 2875.72 5185.04 3359.96 3781.44 6381.04 8956.14 14574.68 2488.90 3553.91 3584.04 10375.01 1587.92 2283.16 153
PHI-MVS75.87 3375.36 3277.41 3280.62 8155.91 8884.28 2085.78 756.08 14673.41 4186.58 6250.94 6288.54 970.79 3689.71 487.79 11
3Dnovator+66.72 475.84 3474.57 3779.66 382.40 5759.92 3985.83 986.32 566.92 767.80 11989.24 3042.03 16289.38 464.07 8286.50 3689.69 1
Regformer-275.63 3574.99 3477.54 3080.43 8358.32 5579.50 8782.92 5367.84 175.94 1380.75 16955.73 2086.80 3871.44 3480.38 7587.50 17
Regformer-175.47 3674.93 3677.09 3580.43 8357.70 6079.50 8782.13 6167.84 175.73 1680.75 16956.50 1386.07 5571.07 3580.38 7587.50 17
APD-MVS_3200maxsize74.96 3774.39 3976.67 4182.20 5858.24 5683.67 2883.29 4758.41 11973.71 3790.14 1745.62 13085.99 5969.64 3882.85 5685.78 58
TSAR-MVS + GP.74.90 3874.15 4177.17 3482.00 6058.77 5081.80 5478.57 14958.58 11574.32 2884.51 9655.94 1987.22 2967.11 5384.48 4585.52 70
DELS-MVS74.76 3974.46 3875.65 5477.84 13352.25 13375.59 16184.17 2263.76 2973.15 4482.79 11759.58 686.80 3867.24 5286.04 3887.89 9
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 4074.25 4076.19 4580.81 7759.01 4782.60 4483.64 3663.74 3072.52 5287.49 4747.18 11685.88 6369.47 3980.78 6783.66 141
canonicalmvs74.67 4174.98 3573.71 8978.94 10550.56 15780.23 7483.87 3160.30 7977.15 1086.56 6359.65 482.00 15266.01 6082.12 5988.58 4
abl_674.34 4273.50 4576.86 3682.43 5660.16 3583.48 3181.86 6758.81 11373.95 3289.86 2241.87 16586.62 4367.98 4681.23 6683.80 135
HQP_MVS74.31 4373.73 4476.06 4681.41 6856.31 7784.22 2184.01 2564.52 2169.27 9286.10 6945.26 13987.21 3068.16 4480.58 7184.65 104
HPM-MVS_fast74.30 4473.46 4876.80 3884.45 4359.04 4683.65 2981.05 8860.15 8170.43 6689.84 2341.09 17785.59 6667.61 5082.90 5485.77 60
Regformer-474.25 4573.48 4676.57 4379.75 9256.54 7678.54 9781.49 7566.93 673.90 3380.30 17953.84 3785.98 6069.76 3776.84 11887.17 27
MVS_111021_HR74.02 4673.46 4875.69 5383.01 5360.63 3377.29 13178.40 15861.18 6370.58 6585.97 7254.18 3384.00 10667.52 5182.98 5382.45 164
MG-MVS73.96 4773.89 4374.16 7685.65 2449.69 18481.59 6181.29 8261.45 5971.05 6288.11 4351.77 5387.73 2361.05 11883.09 5085.05 92
Regformer-373.89 4873.28 5075.71 5279.75 9255.48 9678.54 9779.93 11366.58 1073.62 3880.30 17954.87 2684.54 9469.09 4176.84 11887.10 29
alignmvs73.86 4973.99 4273.45 10078.20 12250.50 15978.57 9582.43 5959.40 10576.57 1186.71 5656.42 1681.23 16565.84 6281.79 6188.62 2
MSLP-MVS++73.77 5073.47 4774.66 6883.02 5259.29 4482.30 5181.88 6659.34 10771.59 6086.83 5345.94 12883.65 11265.09 6785.22 4181.06 183
HQP-MVS73.45 5172.80 5375.40 5880.66 7854.94 9982.31 4883.90 2962.10 5067.85 11485.54 8145.46 13386.93 3667.04 5480.35 7784.32 111
CLD-MVS73.33 5272.68 5475.29 6178.82 10753.33 11678.23 10384.79 1561.30 6270.41 6781.04 16052.41 4987.12 3364.61 7282.49 5885.41 81
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
Effi-MVS+73.31 5372.54 5575.62 5577.87 13253.64 11079.62 8479.61 11861.63 5772.02 5782.61 12256.44 1485.97 6163.99 8579.07 9787.25 26
UA-Net73.13 5472.93 5273.76 8583.58 4851.66 13978.75 9177.66 16667.75 372.61 5189.42 2649.82 6883.29 11953.61 15283.14 4986.32 45
EPNet73.09 5572.16 5775.90 4775.95 16156.28 7983.05 3572.39 21166.53 1165.27 14787.00 5250.40 6585.47 7062.48 9986.32 3785.94 54
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
nrg03072.96 5673.01 5172.84 12175.41 16850.24 16680.02 7682.89 5658.36 12174.44 2786.73 5458.90 980.83 17265.84 6274.46 13387.44 20
CPTT-MVS72.78 5772.08 5974.87 6584.88 4061.41 2484.15 2477.86 16255.27 15767.51 12388.08 4541.93 16481.85 15469.04 4280.01 8181.35 177
LPG-MVS_test72.74 5871.74 6175.76 4980.22 8657.51 6282.55 4583.40 4361.32 6066.67 13187.33 5039.15 18986.59 4467.70 4877.30 11483.19 150
PAPM_NR72.63 5971.80 6075.13 6281.72 6353.42 11579.91 7883.28 4859.14 10966.31 13685.90 7351.86 5286.06 5657.45 13180.62 6985.91 55
VDD-MVS72.50 6072.09 5873.75 8781.58 6449.69 18477.76 11977.63 16763.21 3373.21 4389.02 3342.14 16183.32 11861.72 11582.50 5788.25 6
3Dnovator64.47 572.49 6171.39 6775.79 4877.70 13558.99 4880.66 7283.15 5062.24 4965.46 14486.59 6142.38 16085.52 6859.59 12584.72 4382.85 159
MVS_Test72.45 6272.46 5672.42 13874.88 17248.50 19576.28 14883.14 5159.40 10572.46 5384.68 8955.66 2181.12 16665.98 6179.66 8687.63 14
EI-MVSNet-Vis-set72.42 6371.59 6374.91 6378.47 11754.02 10677.05 13579.33 13665.03 1771.68 5979.35 19252.75 4684.89 8566.46 5774.23 13685.83 57
ACMP63.53 672.30 6471.20 7275.59 5780.28 8557.54 6182.74 4182.84 5760.58 7165.24 14886.18 6739.25 18886.03 5866.95 5676.79 12083.22 148
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PS-MVSNAJss72.24 6571.21 7175.31 6078.50 11555.93 8781.63 5882.12 6256.24 14370.02 7485.68 7847.05 11784.34 9865.27 6674.41 13585.67 65
Vis-MVSNetpermissive72.18 6671.37 6874.61 7181.29 7055.41 9780.90 6878.28 16060.73 6969.23 9588.09 4444.36 14882.65 14357.68 13081.75 6385.77 60
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
API-MVS72.17 6771.41 6674.45 7481.95 6157.22 6684.03 2580.38 10959.89 8968.40 10482.33 12849.64 7087.83 2251.87 16184.16 4778.30 208
EPP-MVSNet72.16 6871.31 7074.71 6678.68 11249.70 18282.10 5281.65 7160.40 7465.94 13985.84 7451.74 5486.37 5255.93 13779.55 8988.07 8
DP-MVS Recon72.15 6970.73 7776.40 4486.57 1057.99 5881.15 6782.96 5257.03 12966.78 13085.56 7944.50 14588.11 1751.77 16380.23 8083.10 154
EI-MVSNet-UG-set71.92 7071.06 7374.52 7377.98 13053.56 11276.62 14179.16 13864.40 2371.18 6178.95 19752.19 5184.66 9365.47 6573.57 14585.32 84
VDDNet71.81 7171.33 6973.26 11282.80 5547.60 20478.74 9275.27 18859.59 10072.94 4789.40 2741.51 17283.91 10758.75 12782.99 5288.26 5
LFMVS71.78 7271.59 6372.32 14183.40 4946.38 21279.75 8171.08 21564.18 2572.80 4988.64 4042.58 15983.72 11057.41 13284.49 4486.86 33
PAPR71.72 7370.82 7674.41 7581.20 7351.17 14379.55 8683.33 4655.81 15066.93 12984.61 9250.95 6186.06 5655.79 14079.20 9586.00 53
IS-MVSNet71.57 7471.00 7473.27 11178.86 10645.63 21580.22 7578.69 14764.14 2666.46 13387.36 4949.30 7485.60 6550.26 17283.71 4888.59 3
MAR-MVS71.51 7570.15 8475.60 5681.84 6259.39 4281.38 6482.90 5554.90 16368.08 11278.70 19847.73 10885.51 6951.68 16584.17 4681.88 171
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
MVSFormer71.50 7670.38 8174.88 6478.76 10957.15 7182.79 3978.48 15351.26 19969.49 8783.22 11343.99 15183.24 12066.06 5879.37 9084.23 118
PVSNet_Blended_VisFu71.45 7770.39 8074.65 6982.01 5958.82 4979.93 7780.35 11155.09 15965.82 14382.16 13449.17 8982.64 14460.34 12078.62 10382.50 163
OMC-MVS71.40 7870.60 7873.78 8376.60 15553.15 11879.74 8279.78 11458.37 12068.75 9986.45 6545.43 13580.60 17762.58 9777.73 10887.58 16
UniMVSNet_NR-MVSNet71.11 7971.00 7471.44 15279.20 9944.13 22676.02 15782.60 5866.48 1268.20 10784.60 9356.82 1282.82 13454.62 14470.43 17587.36 24
PCF-MVS61.88 870.95 8069.49 9775.35 5977.63 13855.71 9076.04 15681.81 6950.30 20569.66 8185.40 8452.51 4784.89 8551.82 16280.24 7985.45 75
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
114514_t70.83 8169.56 9274.64 7086.21 1654.63 10382.34 4781.81 6948.22 22163.01 17085.83 7540.92 18087.10 3457.91 12979.79 8582.18 167
FIs70.82 8271.43 6568.98 18878.33 11938.14 26376.96 13783.59 3761.02 6467.33 12586.73 5455.07 2481.64 15754.61 14679.22 9487.14 28
ACMM61.98 770.80 8369.73 8774.02 7780.59 8258.59 5282.68 4282.02 6555.46 15667.18 12684.39 9838.51 19483.17 12260.65 11976.10 12480.30 192
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
v1neww70.66 8469.70 8873.53 9673.15 19950.22 16778.11 10680.68 9759.65 9569.83 7781.67 14249.29 7684.96 8064.55 7370.38 17885.42 77
v7new70.66 8469.70 8873.53 9673.15 19950.22 16778.11 10680.68 9759.65 9569.83 7781.67 14249.29 7684.96 8064.55 7370.38 17885.42 77
v670.66 8469.70 8873.53 9673.14 20250.21 17078.11 10680.67 9959.65 9569.82 7981.65 14449.29 7684.96 8064.55 7370.39 17785.42 77
UniMVSNet (Re)70.63 8770.20 8271.89 14478.55 11445.29 21675.94 15882.92 5363.68 3168.16 10983.59 10853.89 3683.49 11553.97 14871.12 16986.89 32
v770.57 8869.48 9873.85 8073.50 18750.92 14678.27 10181.43 7658.93 11069.61 8281.49 15047.56 11185.43 7263.94 8670.62 17285.21 88
xiu_mvs_v2_base70.52 8969.75 8672.84 12181.21 7255.63 9375.11 17278.92 14254.92 16269.96 7579.68 18847.00 12182.09 15161.60 11779.37 9080.81 187
PS-MVSNAJ70.51 9069.70 8872.93 11781.52 6555.79 8974.92 17779.00 14155.04 16169.88 7678.66 19947.05 11782.19 14961.61 11679.58 8780.83 186
v114170.50 9169.53 9373.41 10472.92 20850.00 17777.69 12080.60 10159.50 10269.60 8381.43 15149.24 8684.77 8864.48 7770.30 18485.46 74
divwei89l23v2f11270.50 9169.53 9373.41 10472.91 20950.00 17777.69 12080.59 10259.50 10269.60 8381.43 15149.26 8184.77 8864.48 7770.31 18385.47 72
v2v48270.50 9169.45 10073.66 9172.62 21550.03 17677.58 12480.51 10659.90 8769.52 8682.14 13547.53 11284.88 8765.07 6870.17 18686.09 51
v170.50 9169.53 9373.42 10372.91 20950.00 17777.69 12080.59 10259.50 10269.59 8581.42 15349.26 8184.77 8864.49 7670.30 18485.47 72
v114470.42 9569.31 10173.76 8573.22 19550.64 15277.83 11781.43 7658.58 11569.40 9081.16 15747.53 11285.29 7564.01 8470.64 17185.34 83
TranMVSNet+NR-MVSNet70.36 9670.10 8571.17 16078.64 11342.97 23776.53 14381.16 8766.95 568.53 10385.42 8351.61 5583.07 12552.32 15969.70 19687.46 19
v870.33 9769.28 10273.49 9973.15 19950.22 16778.62 9480.78 9660.79 6766.45 13482.11 13649.35 7284.98 7863.58 9168.71 20485.28 85
Fast-Effi-MVS+70.28 9869.12 10373.73 8878.50 11551.50 14275.01 17479.46 13256.16 14468.59 10079.55 18953.97 3484.05 10253.34 15477.53 11085.65 67
X-MVStestdata70.21 9967.28 13479.00 1386.32 1462.62 1285.83 983.92 2764.55 1972.17 556.49 32047.95 10688.01 1971.55 3286.74 3386.37 41
v1070.21 9969.02 10473.81 8273.51 18650.92 14678.74 9281.39 7860.05 8366.39 13581.83 13847.58 11085.41 7362.80 9668.86 20385.09 91
QAPM70.05 10168.81 10673.78 8376.54 15753.43 11483.23 3383.48 3952.89 18065.90 14086.29 6641.55 17186.49 4951.01 16778.40 10581.42 175
DU-MVS70.01 10269.53 9371.44 15278.05 12844.13 22675.01 17481.51 7464.37 2468.20 10784.52 9449.12 9282.82 13454.62 14470.43 17587.37 22
AdaColmapbinary69.99 10368.66 10973.97 7984.94 3757.83 5982.63 4378.71 14656.28 14264.34 16084.14 10041.57 17087.06 3546.45 19778.88 9877.02 219
v119269.97 10468.68 10873.85 8073.19 19850.94 14477.68 12381.36 7957.51 12668.95 9880.85 16545.28 13885.33 7462.97 9570.37 18085.27 86
FC-MVSNet-test69.80 10570.58 7967.46 20177.61 14334.73 28376.05 15583.19 4960.84 6665.88 14186.46 6454.52 3080.76 17652.52 15878.12 10686.91 31
v14419269.71 10668.51 11073.33 10873.10 20450.13 17477.54 12680.64 10056.65 13368.57 10280.55 17246.87 12284.96 8062.98 9469.66 19784.89 97
VNet69.68 10770.19 8368.16 19679.73 9541.63 24770.53 22477.38 17260.37 7570.69 6486.63 5951.08 5977.09 21653.61 15281.69 6585.75 62
jason69.65 10868.39 11473.43 10278.27 12156.88 7377.12 13373.71 20546.53 23569.34 9183.22 11343.37 15579.18 19264.77 6979.20 9584.23 118
jason: jason.
lupinMVS69.57 10968.28 11573.44 10178.76 10957.15 7176.57 14273.29 20746.19 23969.49 8782.18 13143.99 15179.23 19164.66 7079.37 9083.93 127
NR-MVSNet69.54 11068.85 10571.59 15178.05 12843.81 23074.20 18680.86 9565.18 1462.76 17284.52 9452.35 5083.59 11350.96 16870.78 17087.37 22
MVS_111021_LR69.50 11168.78 10771.65 14978.38 11859.33 4374.82 17970.11 22158.08 12367.83 11884.68 8941.96 16376.34 22465.62 6477.54 10979.30 203
v192192069.47 11268.17 11673.36 10773.06 20550.10 17577.39 12780.56 10456.58 13768.59 10080.37 17544.72 14184.98 7862.47 10069.82 19285.00 93
test_djsdf69.45 11367.74 12174.58 7274.57 17754.92 10182.79 3978.48 15351.26 19965.41 14583.49 11138.37 19683.24 12066.06 5869.25 20085.56 68
DI_MVS_plusplus_test69.35 11468.03 11873.30 11071.11 23550.14 17375.49 16379.16 13854.57 16762.45 18080.76 16844.67 14384.20 9964.23 8079.81 8485.54 69
EI-MVSNet69.27 11568.44 11371.73 14874.47 17849.39 18875.20 17078.45 15559.60 9869.16 9676.51 23251.29 5682.50 14559.86 12471.45 16783.30 146
test_normal69.26 11667.90 12073.32 10970.84 23850.38 16275.30 16679.17 13754.23 17162.00 18480.61 17144.69 14283.89 10864.33 7979.95 8385.69 64
v124069.24 11767.91 11973.25 11373.02 20749.82 18077.21 13280.54 10556.43 13968.34 10680.51 17343.33 15684.99 7662.03 11169.77 19584.95 96
IterMVS-LS69.22 11868.48 11171.43 15474.44 18049.40 18776.23 15077.55 16859.60 9865.85 14281.59 14851.28 5781.58 16059.87 12369.90 19183.30 146
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
VPA-MVSNet69.02 11969.47 9967.69 20077.42 14641.00 25174.04 18779.68 11660.06 8269.26 9484.81 8851.06 6077.58 21154.44 14774.43 13484.48 109
v7n69.01 12067.36 13173.98 7872.51 21752.65 12578.54 9781.30 8160.26 8062.67 17481.62 14543.61 15384.49 9557.01 13368.70 20584.79 101
OpenMVScopyleft61.03 968.85 12167.56 12472.70 12574.26 18353.99 10781.21 6681.34 8052.70 18162.75 17385.55 8038.86 19284.14 10148.41 18783.01 5179.97 196
XVG-OURS-SEG-HR68.81 12267.47 12772.82 12374.40 18156.87 7470.59 22379.04 14054.77 16466.99 12886.01 7139.57 18778.21 20462.54 9873.33 14983.37 145
BH-RMVSNet68.81 12267.42 12872.97 11680.11 8952.53 12874.26 18576.29 17958.48 11868.38 10584.20 9942.59 15883.83 10946.53 19675.91 12582.56 160
UGNet68.81 12267.39 12973.06 11578.33 11954.47 10479.77 8075.40 18760.45 7363.22 16784.40 9732.71 23480.91 17151.71 16480.56 7383.81 132
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
XVG-OURS68.76 12567.37 13072.90 11874.32 18257.22 6670.09 23078.81 14455.24 15867.79 12085.81 7736.54 21078.28 20362.04 10975.74 12683.19 150
V4268.65 12667.35 13272.56 12968.93 25450.18 17172.90 20279.47 13156.92 13069.45 8980.26 18146.29 12682.99 12664.07 8267.82 21084.53 107
PVSNet_Blended68.59 12767.72 12271.19 15977.03 15050.57 15572.51 20781.52 7251.91 18964.22 16477.77 21249.13 9082.87 13255.82 13879.58 8780.14 195
xiu_mvs_v1_base_debu68.58 12867.28 13472.48 13278.19 12357.19 6875.28 16775.09 19251.61 19170.04 7181.41 15432.79 23079.02 19663.81 8777.31 11181.22 179
xiu_mvs_v1_base68.58 12867.28 13472.48 13278.19 12357.19 6875.28 16775.09 19251.61 19170.04 7181.41 15432.79 23079.02 19663.81 8777.31 11181.22 179
xiu_mvs_v1_base_debi68.58 12867.28 13472.48 13278.19 12357.19 6875.28 16775.09 19251.61 19170.04 7181.41 15432.79 23079.02 19663.81 8777.31 11181.22 179
PVSNet_BlendedMVS68.56 13167.72 12271.07 16377.03 15050.57 15574.50 18381.52 7253.66 17564.22 16479.72 18749.13 9082.87 13255.82 13873.92 14079.77 199
112168.53 13267.16 13972.63 12685.64 2561.14 2673.95 18866.46 24144.61 25270.28 6986.68 5741.42 17380.78 17453.62 15081.79 6175.97 226
WR-MVS68.47 13368.47 11268.44 19580.20 8839.84 25373.75 19376.07 18264.68 1868.11 11183.63 10750.39 6679.14 19449.78 17469.66 19786.34 43
v1668.38 13467.01 14072.47 13673.22 19550.29 16478.10 10979.59 12459.71 9361.72 18877.60 21749.28 7982.89 13062.36 10261.54 25084.23 118
v1768.37 13567.00 14172.48 13273.22 19550.31 16378.10 10979.58 12659.71 9361.67 18977.60 21749.31 7382.89 13062.37 10161.48 25384.23 118
v1868.33 13666.96 14272.42 13873.13 20350.16 17277.97 11479.57 12859.57 10161.80 18677.50 22249.30 7482.90 12962.31 10361.50 25184.20 124
v1368.29 13766.84 14472.63 12673.50 18750.83 14978.25 10279.58 12660.05 8360.76 20077.68 21449.11 9582.77 13662.17 10660.45 26484.30 113
v1268.28 13866.83 14672.60 12873.43 18950.74 15078.18 10479.59 12460.01 8560.89 19977.66 21549.12 9282.77 13662.18 10460.46 26384.29 114
V968.27 13966.84 14472.56 12973.39 19250.63 15378.10 10979.60 12159.94 8661.05 19777.62 21649.18 8882.77 13662.17 10660.48 26284.27 115
BH-untuned68.27 13967.29 13371.21 15879.74 9453.22 11776.06 15477.46 17157.19 12866.10 13781.61 14645.37 13783.50 11445.42 21276.68 12276.91 222
jajsoiax68.25 14166.45 15473.66 9175.62 16455.49 9580.82 6978.51 15252.33 18564.33 16184.11 10128.28 25681.81 15663.48 9270.62 17283.67 140
V1468.25 14166.82 14772.52 13173.33 19350.53 15878.02 11279.60 12159.83 9161.16 19577.57 21949.19 8782.77 13662.18 10460.50 26184.26 116
v14868.24 14367.19 13871.40 15570.43 24147.77 20275.76 16077.03 17658.91 11167.36 12480.10 18348.60 10081.89 15360.01 12266.52 21884.53 107
v1568.22 14466.81 14872.47 13673.25 19450.40 16177.92 11679.60 12159.77 9261.28 19377.52 22149.25 8382.77 13662.16 10860.51 26084.24 117
mvs_tets68.18 14566.36 15873.63 9475.61 16555.35 9880.77 7078.56 15052.48 18464.27 16384.10 10227.45 26281.84 15563.45 9370.56 17483.69 137
v1168.15 14666.73 14972.42 13873.43 18950.28 16577.94 11579.65 11759.88 9061.11 19677.55 22048.25 10382.75 14161.88 11460.85 25784.23 118
mvs_anonymous68.03 14767.51 12669.59 18272.08 22344.57 22371.99 21375.23 18951.67 19067.06 12782.57 12354.68 2877.94 20756.56 13475.71 12786.26 48
PAPM67.92 14866.69 15171.63 15078.09 12649.02 19177.09 13481.24 8551.04 20160.91 19883.98 10447.71 10984.99 7640.81 24079.32 9380.90 185
Test467.77 14965.97 16273.19 11468.64 25550.58 15474.80 18080.48 10754.13 17259.11 21579.07 19633.89 22183.12 12463.61 9079.98 8285.87 56
diffmvs67.72 15066.73 14970.70 16969.74 25147.69 20373.33 19774.74 19653.30 17764.51 15981.80 13949.25 8379.02 19659.15 12674.75 13185.39 82
VPNet67.52 15168.11 11765.74 21979.18 10036.80 27172.17 21172.83 20962.04 5367.79 12085.83 7548.88 9676.60 22151.30 16672.97 15183.81 132
MVS67.37 15266.33 15970.51 17175.46 16750.94 14473.95 18881.85 6841.57 27462.54 17678.57 20347.98 10585.47 7052.97 15682.05 6075.14 236
v74867.26 15365.67 16572.02 14369.90 24949.77 18176.24 14979.57 12858.58 11560.49 20280.38 17444.47 14782.17 15056.16 13665.26 22684.12 126
GBi-Net67.21 15466.55 15269.19 18577.63 13843.33 23377.31 12877.83 16356.62 13465.04 15182.70 11841.85 16680.33 17947.18 19172.76 15283.92 128
test167.21 15466.55 15269.19 18577.63 13843.33 23377.31 12877.83 16356.62 13465.04 15182.70 11841.85 16680.33 17947.18 19172.76 15283.92 128
MVSTER67.16 15665.58 16771.88 14570.37 24349.70 18270.25 22978.45 15551.52 19469.16 9680.37 17538.45 19582.50 14560.19 12171.46 16683.44 144
v5267.09 15765.16 17272.87 11966.77 26851.60 14073.69 19479.45 13357.88 12462.46 17978.57 20340.95 17983.34 11661.99 11264.70 23183.68 138
V467.09 15765.16 17272.87 11966.76 26951.60 14073.69 19479.45 13357.88 12462.45 18078.58 20240.96 17883.34 11661.99 11264.71 22983.68 138
Baseline_NR-MVSNet67.05 15967.56 12465.50 22175.65 16337.70 26775.42 16474.65 19859.90 8768.14 11083.15 11649.12 9277.20 21452.23 16069.78 19381.60 173
WR-MVS_H67.02 16066.92 14367.33 20477.95 13137.75 26677.57 12582.11 6362.03 5462.65 17582.48 12550.57 6479.46 18742.91 22964.01 23584.79 101
anonymousdsp67.00 16164.82 17673.57 9570.09 24556.13 8276.35 14677.35 17348.43 21964.99 15480.84 16633.01 22780.34 17864.66 7067.64 21384.23 118
FMVSNet266.93 16266.31 16168.79 19177.63 13842.98 23676.11 15277.47 16956.62 13465.22 15082.17 13341.85 16680.18 18247.05 19472.72 15583.20 149
BH-w/o66.85 16365.83 16469.90 17979.29 9752.46 13074.66 18176.65 17754.51 16864.85 15578.12 20545.59 13282.95 12843.26 22575.54 12874.27 248
CDS-MVSNet66.80 16465.37 16871.10 16278.98 10453.13 12073.27 19871.07 21652.15 18764.72 15680.23 18243.56 15477.10 21545.48 21078.88 9883.05 155
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS66.78 16565.27 17071.33 15779.16 10253.67 10973.84 19269.59 22652.32 18665.28 14681.72 14044.49 14677.40 21342.32 23278.66 10282.92 156
FMVSNet166.70 16665.87 16369.19 18577.49 14543.33 23377.31 12877.83 16356.45 13864.60 15882.70 11838.08 20180.33 17946.08 20172.31 15983.92 128
ab-mvs66.65 16766.42 15667.37 20276.17 15941.73 24570.41 22776.14 18153.99 17365.98 13883.51 11049.48 7176.24 22548.60 18573.46 14784.14 125
PEN-MVS66.60 16866.45 15467.04 20577.11 14836.56 27377.03 13680.42 10862.95 3662.51 17884.03 10346.69 12379.07 19544.22 21663.08 24285.51 71
TAPA-MVS59.36 1066.60 16865.20 17170.81 16576.63 15448.75 19376.52 14480.04 11250.64 20365.24 14884.93 8639.15 18978.54 20036.77 25776.88 11785.14 89
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TR-MVS66.59 17065.07 17471.17 16079.18 10049.63 18673.48 19675.20 19052.95 17967.90 11380.33 17839.81 18483.68 11143.20 22673.56 14680.20 193
CP-MVSNet66.49 17166.41 15766.72 20777.67 13736.33 27576.83 14079.52 13062.45 4662.54 17683.47 11246.32 12578.37 20145.47 21163.43 23985.45 75
PS-CasMVS66.42 17266.32 16066.70 20877.60 14436.30 27776.94 13879.61 11862.36 4862.43 18283.66 10645.69 12978.37 20145.35 21363.26 24085.42 77
FMVSNet366.32 17365.61 16668.46 19476.48 15842.34 24174.98 17677.15 17555.83 14965.04 15181.16 15739.91 18280.14 18347.18 19172.76 15282.90 158
ACMH+57.40 1166.12 17464.06 17872.30 14277.79 13452.83 12280.39 7378.03 16157.30 12757.47 22982.55 12427.68 26084.17 10045.54 20869.78 19379.90 197
testing_266.02 17563.77 18372.76 12466.03 27550.48 16072.93 20180.36 11054.41 16954.25 25476.76 22830.89 24283.16 12364.19 8174.08 13884.65 104
cascas65.98 17663.42 18773.64 9377.26 14752.58 12772.26 21077.21 17448.56 21661.21 19474.60 24832.57 23885.82 6450.38 17176.75 12182.52 162
DP-MVS65.68 17763.66 18571.75 14784.93 3856.87 7480.74 7173.16 20853.06 17859.09 21682.35 12736.79 20985.94 6232.82 27369.96 19072.45 261
HyFIR lowres test65.67 17863.01 19173.67 9079.97 9155.65 9269.07 23675.52 18542.68 26863.53 16677.95 20740.43 18181.64 15746.01 20271.91 16283.73 136
DTE-MVSNet65.58 17965.34 16966.31 21076.06 16034.79 28176.43 14579.38 13562.55 4561.66 19083.83 10545.60 13179.15 19341.64 23960.88 25685.00 93
GA-MVS65.53 18063.70 18471.02 16470.87 23748.10 19870.48 22574.40 20056.69 13264.70 15776.77 22733.66 22381.10 16755.42 14270.32 18283.87 131
CNLPA65.43 18164.02 17969.68 18078.73 11158.07 5777.82 11870.71 21851.49 19561.57 19283.58 10938.23 19970.82 24143.90 21970.10 18880.16 194
MVP-Stereo65.41 18263.80 18270.22 17377.62 14255.53 9476.30 14778.53 15150.59 20456.47 23578.65 20039.84 18382.68 14244.10 21872.12 16172.44 262
IB-MVS56.42 1265.40 18362.73 19573.40 10674.89 17152.78 12373.09 20075.13 19155.69 15258.48 22473.73 25332.86 22986.32 5350.63 16970.11 18781.10 182
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
pm-mvs165.24 18464.97 17566.04 21472.38 21839.40 25672.62 20575.63 18455.53 15462.35 18383.18 11547.45 11476.47 22249.06 18266.54 21782.24 166
ACMH55.70 1565.20 18563.57 18670.07 17678.07 12752.01 13879.48 8979.69 11555.75 15156.59 23480.98 16127.12 26480.94 16942.90 23071.58 16577.25 218
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PLCcopyleft56.13 1465.09 18663.21 18970.72 16881.04 7554.87 10278.57 9577.47 16948.51 21755.71 23881.89 13733.71 22279.71 18441.66 23770.37 18077.58 214
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
HyFIR65.08 18762.84 19371.82 14681.49 6756.26 8066.32 24474.20 20240.53 28063.16 16978.65 20041.30 17477.80 20945.80 20474.09 13781.40 176
TransMVSNet (Re)64.72 18864.33 17765.87 21875.22 16938.56 26074.66 18175.08 19558.90 11261.79 18782.63 12151.18 5878.07 20643.63 22255.87 27580.99 184
EG-PatchMatch MVS64.71 18962.87 19270.22 17377.68 13653.48 11377.99 11378.82 14353.37 17656.03 23777.41 22424.75 27884.04 10346.37 19873.42 14873.14 254
LS3D64.71 18962.50 19771.34 15679.72 9655.71 9079.82 7974.72 19748.50 21856.62 23384.62 9133.59 22482.34 14829.65 28575.23 12975.97 226
131464.61 19163.21 18968.80 19071.87 22747.46 20573.95 18878.39 15942.88 26759.97 20476.60 23138.11 20079.39 18954.84 14372.32 15879.55 200
HY-MVS56.14 1364.55 19263.89 18066.55 20974.73 17441.02 24969.96 23174.43 19949.29 21161.66 19080.92 16247.43 11576.68 22044.91 21571.69 16481.94 169
XVG-ACMP-BASELINE64.36 19362.23 19870.74 16772.35 21952.45 13170.80 22278.45 15553.84 17459.87 20681.10 15916.24 29479.32 19055.64 14171.76 16380.47 189
CostFormer64.04 19462.51 19668.61 19371.88 22645.77 21471.30 21670.60 21947.55 22864.31 16276.61 23041.63 16979.62 18649.74 17669.00 20180.42 190
1112_ss64.00 19563.36 18865.93 21779.28 9842.58 24071.35 21572.36 21246.41 23760.55 20177.89 20946.27 12773.28 23346.18 19969.97 18981.92 170
pmmvs663.69 19662.82 19466.27 21270.63 23939.27 25773.13 19975.47 18652.69 18259.75 20982.30 12939.71 18577.03 21747.40 19064.35 23482.53 161
Vis-MVSNet (Re-imp)63.69 19663.88 18163.14 23374.75 17331.04 29771.16 21863.64 25556.32 14059.80 20884.99 8544.51 14475.46 22739.12 24780.62 6982.92 156
test_040263.25 19861.01 20669.96 17780.00 9054.37 10576.86 13972.02 21354.58 16658.71 21980.79 16735.00 21584.36 9726.41 29564.71 22971.15 273
LTVRE_ROB55.42 1663.15 19961.23 20568.92 18976.57 15647.80 20059.92 27276.39 17854.35 17058.67 22082.46 12629.44 25281.49 16142.12 23371.14 16877.46 215
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
F-COLMAP63.05 20060.87 20769.58 18376.99 15253.63 11178.12 10576.16 18047.97 22552.41 26481.61 14627.87 25878.11 20540.07 24366.66 21677.00 220
IterMVS62.79 20161.27 20467.35 20369.37 25252.04 13771.17 21768.24 23352.63 18359.82 20776.91 22637.32 20572.36 23652.80 15763.19 24177.66 213
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
tpmp4_e2362.71 20260.13 21070.45 17273.40 19148.39 19672.82 20369.49 22844.88 24859.91 20574.99 24437.79 20381.47 16240.22 24267.71 21281.48 174
MS-PatchMatch62.42 20361.46 20265.31 22275.21 17052.10 13472.05 21274.05 20346.41 23757.42 23074.36 24934.35 21877.57 21245.62 20773.67 14266.26 285
Test_1112_low_res62.32 20461.77 20064.00 22879.08 10339.53 25568.17 23770.17 22043.25 26359.03 21779.90 18444.08 14971.24 24043.79 22168.42 20681.25 178
PatchFormer-LS_test62.20 20560.59 20867.04 20572.18 22246.82 21070.36 22868.62 23151.92 18859.19 21470.23 26936.86 20875.07 22950.23 17365.68 22379.23 204
tpm262.07 20660.10 21167.99 19772.79 21243.86 22971.05 21966.85 23943.14 26562.77 17175.39 24238.32 19780.80 17341.69 23668.88 20279.32 202
DWT-MVSNet_test61.90 20759.93 21267.83 19871.98 22546.09 21371.03 22069.71 22350.09 20658.51 22370.62 26630.21 24777.63 21049.28 18067.91 20879.78 198
EPNet_dtu61.90 20761.97 19961.68 24172.89 21139.78 25475.85 15965.62 24455.09 15954.56 25079.36 19137.59 20467.02 25439.80 24676.95 11678.25 209
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
LCM-MVSNet-Re61.88 20961.35 20363.46 23074.58 17631.48 29661.42 26658.14 27758.71 11453.02 26379.55 18943.07 15776.80 21845.69 20577.96 10782.11 168
MSDG61.81 21059.23 21469.55 18472.64 21452.63 12670.45 22675.81 18351.38 19753.70 25776.11 23529.52 25081.08 16837.70 25265.79 22274.93 241
SixPastTwentyTwo61.65 21158.80 21770.20 17575.80 16247.22 20775.59 16169.68 22554.61 16554.11 25579.26 19327.07 26582.96 12743.27 22449.79 29380.41 191
pmmvs461.48 21259.39 21367.76 19971.57 22953.86 10871.42 21465.34 24544.20 25659.46 21077.92 20835.90 21174.71 23143.87 22064.87 22874.71 245
OurMVSNet-221017-061.37 21358.63 21969.61 18172.05 22448.06 19973.93 19172.51 21047.23 23154.74 24780.92 16221.49 28581.24 16448.57 18656.22 27479.53 201
COLMAP_ROBcopyleft52.97 1761.27 21458.81 21668.64 19274.63 17552.51 12978.42 10073.30 20649.92 20950.96 26981.51 14923.06 28179.40 18831.63 27865.85 22074.01 251
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
XXY-MVS60.68 21561.67 20157.70 25970.43 24138.45 26164.19 25766.47 24048.05 22463.22 16780.86 16449.28 7960.47 27445.25 21467.28 21574.19 249
K. test v360.47 21657.11 22670.56 17073.74 18548.22 19775.10 17362.55 26258.27 12253.62 25976.31 23427.81 25981.59 15947.42 18939.18 30581.88 171
OpenMVS_ROBcopyleft52.78 1860.03 21758.14 22265.69 22070.47 24044.82 21875.33 16570.86 21745.04 24756.06 23676.00 23626.89 26779.65 18535.36 26567.29 21472.60 258
CR-MVSNet59.91 21857.90 22465.96 21569.96 24752.07 13565.31 25163.15 25842.48 26959.36 21174.84 24535.83 21270.75 24245.50 20964.65 23275.06 237
PatchmatchNetpermissive59.84 21958.24 22064.65 22573.05 20646.70 21169.42 23462.18 26447.55 22858.88 21871.96 26034.49 21769.16 24642.99 22863.60 23878.07 211
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
WTY-MVS59.75 22060.39 20957.85 25772.32 22037.83 26561.05 27064.18 25345.95 24461.91 18579.11 19547.01 12060.88 27342.50 23169.49 19974.83 242
CVMVSNet59.63 22159.14 21561.08 24674.47 17838.84 25875.20 17068.74 23031.15 30258.24 22576.51 23232.39 23968.58 24949.77 17565.84 22175.81 230
tpm cat159.25 22256.95 22966.15 21372.19 22146.96 20868.09 23865.76 24340.03 28357.81 22770.56 26738.32 19774.51 23238.26 25061.50 25177.00 220
pmmvs-eth3d58.81 22356.31 23466.30 21167.61 26352.42 13272.30 20964.76 24943.55 26154.94 24674.19 25128.95 25472.60 23543.31 22357.21 27273.88 252
RPMNet58.70 22456.29 23565.96 21569.96 24752.07 13565.31 25162.15 26543.20 26459.36 21170.15 27135.37 21470.75 24236.42 26264.65 23275.06 237
tpmvs58.47 22556.95 22963.03 23570.20 24441.21 24867.90 23967.23 23749.62 21054.73 24870.84 26534.14 21976.24 22536.64 26061.29 25471.64 269
PVSNet50.76 1958.40 22657.39 22561.42 24375.53 16644.04 22861.43 26563.45 25647.04 23356.91 23173.61 25427.00 26664.76 26139.12 24772.40 15675.47 234
tpmrst58.24 22758.70 21856.84 26166.97 26534.32 28569.57 23361.14 26847.17 23258.58 22271.60 26141.28 17660.41 27549.20 18162.84 24375.78 231
test-LLR58.15 22858.13 22358.22 25468.57 25644.80 21965.46 24857.92 27850.08 20755.44 24169.82 27232.62 23557.44 28449.66 17873.62 14372.41 263
gg-mvs-nofinetune57.86 22956.43 23362.18 23972.62 21535.35 28066.57 24156.33 28650.65 20257.64 22857.10 30230.65 24376.36 22337.38 25478.88 9874.82 243
CMPMVSbinary42.80 2157.81 23055.97 23663.32 23160.98 29547.38 20664.66 25569.50 22732.06 30146.83 28277.80 21129.50 25171.36 23948.68 18473.75 14171.21 272
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MIMVSNet57.35 23157.07 22758.22 25474.21 18437.18 26862.46 26160.88 26948.88 21455.29 24475.99 23831.68 24062.04 27031.87 27672.35 15775.43 235
tpm57.34 23258.16 22154.86 26971.80 22834.77 28267.47 24056.04 28948.20 22260.10 20376.92 22537.17 20653.41 30140.76 24165.01 22776.40 225
Patchmtry57.16 23356.47 23259.23 24869.17 25334.58 28462.98 25963.15 25844.53 25356.83 23274.84 24535.83 21268.71 24840.03 24460.91 25574.39 247
AllTest57.08 23454.65 24264.39 22671.44 23049.03 18969.92 23267.30 23545.97 24247.16 28079.77 18517.47 29167.56 25133.65 27059.16 26876.57 223
pmmvs556.47 23555.68 23858.86 25161.41 29236.71 27266.37 24362.75 26140.38 28153.70 25776.62 22934.56 21667.05 25340.02 24565.27 22572.83 256
test-mter56.42 23655.82 23758.22 25468.57 25644.80 21965.46 24857.92 27839.94 28455.44 24169.82 27221.92 28457.44 28449.66 17873.62 14372.41 263
Patchmatch-RL test56.36 23753.94 24963.61 22967.92 26248.89 19260.66 27151.07 30347.86 22659.36 21162.71 29520.08 28772.27 23756.41 13559.40 26769.67 278
USDC56.35 23854.24 24662.69 23764.74 28040.31 25265.05 25373.83 20443.93 25947.58 27877.71 21315.36 29675.05 23038.19 25161.81 24872.70 257
PatchMatch-RL56.25 23954.55 24361.32 24577.06 14956.07 8465.57 24754.10 29844.13 25853.49 26271.27 26425.20 27566.78 25536.52 26163.66 23761.12 296
sss56.17 24056.57 23154.96 26866.93 26636.32 27657.94 27861.69 26741.67 27258.64 22175.32 24338.72 19356.25 29342.04 23466.19 21972.31 266
Anonymous2023121155.92 24153.63 25162.77 23668.22 26135.56 27974.48 18469.89 22246.42 23649.07 27673.45 25521.13 28676.77 21928.74 28751.30 28975.97 226
FMVSNet555.86 24254.93 24058.66 25371.05 23636.35 27464.18 25862.48 26346.76 23450.66 27274.73 24725.80 27264.04 26333.11 27265.57 22475.59 233
RPSCF55.80 24354.22 24760.53 24765.13 27942.91 23864.30 25657.62 28036.84 29358.05 22682.28 13028.01 25756.24 29437.14 25558.61 27082.44 165
EU-MVSNet55.61 24454.41 24459.19 24965.41 27833.42 28972.44 20871.91 21428.81 30451.27 26773.87 25224.76 27769.08 24743.04 22758.20 27175.06 237
TESTMET0.1,155.28 24554.90 24156.42 26266.56 27043.67 23165.46 24856.27 28739.18 28653.83 25667.44 27924.21 27955.46 29848.04 18873.11 15070.13 276
MIMVSNet155.17 24654.31 24557.77 25870.03 24632.01 29465.68 24664.81 24849.19 21246.75 28376.00 23625.53 27464.04 26328.65 28862.13 24777.26 217
Anonymous2023120655.10 24755.30 23954.48 27169.81 25033.94 28762.91 26062.13 26641.08 27555.18 24575.65 24032.75 23356.59 29030.32 28367.86 20972.91 255
TinyColmap54.14 24851.72 25761.40 24466.84 26741.97 24266.52 24268.51 23244.81 24942.69 29775.77 23911.66 30472.94 23431.96 27556.77 27369.27 281
EPMVS53.96 24953.69 25054.79 27066.12 27431.96 29562.34 26349.05 30644.42 25555.54 23971.33 26330.22 24656.70 28841.65 23862.54 24575.71 232
PMMVS53.96 24953.26 25456.04 26362.60 28850.92 14661.17 26956.09 28832.81 29953.51 26166.84 28134.04 22059.93 27744.14 21768.18 20757.27 301
test20.0353.87 25154.02 24853.41 27561.47 29128.11 30361.30 26759.21 27351.34 19852.09 26577.43 22333.29 22658.55 28129.76 28460.27 26573.58 253
MDA-MVSNet-bldmvs53.87 25150.81 25963.05 23466.25 27248.58 19456.93 28163.82 25448.09 22341.22 29870.48 26830.34 24568.00 25034.24 26845.92 30072.57 259
TDRefinement53.44 25350.72 26061.60 24264.31 28346.96 20870.89 22165.27 24741.78 27044.61 29077.98 20611.52 30566.36 25628.57 28951.59 28771.49 270
test0.0.03 153.32 25453.59 25252.50 27962.81 28729.45 30059.51 27354.11 29750.08 20754.40 25274.31 25032.62 23555.92 29530.50 28263.95 23672.15 268
PatchT53.17 25553.44 25352.33 28068.29 26025.34 31158.21 27754.41 29544.46 25454.56 25069.05 27433.32 22560.94 27236.93 25661.76 24970.73 275
UnsupCasMVSNet_eth53.16 25652.47 25555.23 26659.45 30233.39 29059.43 27469.13 22945.98 24150.35 27472.32 25929.30 25358.26 28242.02 23544.30 30274.05 250
PM-MVS52.33 25750.19 26158.75 25262.10 28945.14 21765.75 24540.38 31543.60 26053.52 26072.65 2579.16 31065.87 25950.41 17054.18 28165.24 287
testgi51.90 25852.37 25650.51 28360.39 29823.55 31458.42 27658.15 27649.03 21351.83 26679.21 19422.39 28255.59 29629.24 28662.64 24472.40 265
dp51.89 25951.60 25852.77 27868.44 25932.45 29262.36 26254.57 29444.16 25749.31 27567.91 27628.87 25556.61 28933.89 26954.89 27869.24 282
JIA-IIPM51.56 26047.68 26863.21 23264.61 28150.73 15147.71 30158.77 27542.90 26648.46 27751.72 30624.97 27670.24 24536.06 26453.89 28268.64 283
ADS-MVSNet251.33 26148.76 26559.07 25066.02 27644.60 22250.90 29659.76 27236.90 29150.74 27066.18 28526.38 26863.11 26527.17 29054.76 27969.50 279
YYNet150.73 26248.96 26256.03 26461.10 29441.78 24451.94 29456.44 28540.94 27744.84 28867.80 27830.08 24855.08 29936.77 25750.71 29071.22 271
MDA-MVSNet_test_wron50.71 26348.95 26356.00 26561.17 29341.84 24351.90 29556.45 28440.96 27644.79 28967.84 27730.04 24955.07 30036.71 25950.69 29171.11 274
UnsupCasMVSNet_bld50.07 26448.87 26453.66 27360.97 29633.67 28857.62 27964.56 25139.47 28547.38 27964.02 29027.47 26159.32 27834.69 26743.68 30367.98 284
LP48.51 26545.51 27257.52 26062.86 28644.53 22552.38 29359.84 27138.11 28842.81 29661.02 29623.23 28063.02 26624.10 29845.24 30165.02 288
ADS-MVSNet48.48 26647.77 26650.63 28266.02 27629.92 29950.90 29650.87 30536.90 29150.74 27066.18 28526.38 26852.47 30327.17 29054.76 27969.50 279
new-patchmatchnet47.56 26747.73 26747.06 28858.81 3039.37 32248.78 30059.21 27343.28 26244.22 29168.66 27525.67 27357.20 28731.57 28049.35 29674.62 246
Patchmatch-test147.49 26846.33 26950.99 28166.36 27142.78 23946.40 30452.75 30235.60 29546.10 28663.77 29118.26 28946.37 30627.08 29260.65 25863.82 290
PVSNet_043.31 2047.46 26945.64 27052.92 27767.60 26444.65 22154.06 28754.64 29341.59 27346.15 28458.75 30130.99 24158.66 28032.18 27424.81 31155.46 302
Patchmatch-test45.92 27045.55 27147.02 28964.40 28230.85 29845.68 30548.46 30935.60 29546.10 28663.77 29118.26 28946.37 30627.08 29260.65 25863.82 290
test123567845.66 27144.46 27749.26 28459.88 30028.68 30256.36 28355.54 29239.12 28740.89 30063.40 29414.41 29857.32 28621.05 30449.47 29561.78 294
test235645.61 27244.66 27548.47 28760.15 29928.08 30452.44 29252.83 30138.01 28946.13 28560.98 29715.08 29755.54 29720.43 30755.85 27661.78 294
MVS-HIRNet45.52 27344.48 27648.65 28668.49 25834.05 28659.41 27544.50 31427.03 30637.96 30450.47 30926.16 27164.10 26226.74 29459.52 26647.82 305
pmmvs344.92 27441.95 28053.86 27252.58 30943.55 23262.11 26446.90 31326.05 30840.63 30160.19 29911.08 30757.91 28331.83 27746.15 29960.11 298
testus44.59 27543.87 27846.76 29059.85 30124.65 31253.86 28855.82 29036.26 29443.97 29463.42 2938.39 31153.14 30220.70 30652.52 28562.51 292
111144.40 27645.00 27442.61 29657.55 30517.33 31953.82 29057.05 28240.78 27844.11 29266.57 28213.37 29945.77 30822.15 30049.58 29464.73 289
testpf44.11 27745.40 27340.26 29860.52 29727.34 30533.26 31454.33 29645.87 24541.08 29960.26 29816.46 29359.14 27946.09 20050.68 29234.31 311
LF4IMVS42.95 27842.26 27945.04 29248.30 31332.50 29154.80 28548.49 30828.03 30540.51 30270.16 2709.24 30943.89 31131.63 27849.18 29758.72 299
testmv42.25 27940.11 28348.66 28553.23 30727.02 30656.62 28255.74 29137.25 29033.10 30659.52 3007.78 31256.58 29119.61 30838.13 30762.40 293
FPMVS42.18 28041.11 28145.39 29158.03 30441.01 25049.50 29853.81 29930.07 30333.71 30564.03 28811.69 30352.08 30414.01 31355.11 27743.09 308
ANet_high41.38 28137.47 28653.11 27639.73 31924.45 31356.94 28069.69 22447.65 22726.04 31052.32 30512.44 30162.38 26921.80 30310.61 31972.49 260
no-one40.85 28236.09 28755.14 26748.55 31238.72 25942.15 31162.92 26034.60 29823.55 31149.74 31012.21 30266.16 25826.27 29624.84 31060.54 297
LCM-MVSNet40.30 28335.88 28953.57 27442.24 31629.15 30145.21 30760.53 27022.23 31228.02 30950.98 3083.72 31861.78 27131.22 28138.76 30669.78 277
N_pmnet39.35 28440.28 28236.54 30063.76 2841.62 32649.37 2990.76 32734.62 29743.61 29566.38 28426.25 27042.57 31326.02 29751.77 28665.44 286
DSMNet-mixed39.30 28538.72 28541.03 29751.22 31019.66 31645.53 30631.35 32015.83 31639.80 30367.42 28022.19 28345.13 31022.43 29952.69 28458.31 300
PMVScopyleft28.69 2236.22 28633.29 29145.02 29336.82 32135.98 27854.68 28648.74 30726.31 30721.02 31251.61 3072.88 32060.10 2769.99 31747.58 29838.99 310
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test1235636.16 28735.94 28836.83 29950.82 3118.52 32344.84 30853.49 30032.72 30030.11 30855.08 3037.11 31449.47 30516.60 31032.68 30952.50 303
.test124534.88 28839.49 28421.04 30857.55 30517.33 31953.82 29057.05 28240.78 27844.11 29266.57 28213.37 29945.77 30822.15 3000.00 3220.03 320
Gipumacopyleft34.77 28931.91 29243.33 29562.05 29037.87 26420.39 31767.03 23823.23 31018.41 31425.84 3154.24 31662.73 26714.71 31251.32 28829.38 313
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new_pmnet34.13 29034.29 29033.64 30152.63 30818.23 31844.43 30933.90 31822.81 31130.89 30753.18 30410.48 30835.72 31720.77 30539.51 30446.98 306
pcd1.5k->3k30.06 29130.56 29328.55 30578.81 1080.00 3280.00 32082.07 640.00 3240.00 3250.00 32639.61 1860.00 3220.00 32374.56 13285.66 66
wuykxyi23d28.12 29222.54 29844.87 29434.97 32232.11 29337.96 31347.31 31113.32 3179.29 32123.72 3170.45 32356.58 29121.85 30213.98 31545.93 307
PNet_i23d27.88 29325.99 29433.55 30247.54 31425.89 30847.24 30332.91 31921.44 31315.90 31538.09 3120.85 32242.76 31216.90 30913.03 31732.00 312
PMMVS227.40 29425.91 29531.87 30439.46 3206.57 32431.17 31528.52 32123.96 30920.45 31348.94 3114.20 31737.94 31616.51 31119.97 31251.09 304
E-PMN23.77 29522.73 29726.90 30642.02 31720.67 31542.66 31035.70 31617.43 31410.28 31925.05 3166.42 31542.39 31410.28 31614.71 31417.63 314
EMVS22.97 29621.84 29926.36 30740.20 31819.53 31741.95 31234.64 31717.09 3159.73 32022.83 3187.29 31342.22 3159.18 31813.66 31617.32 315
MVEpermissive17.77 2321.41 29717.77 30032.34 30334.34 32325.44 31016.11 31824.11 32211.19 31813.22 31731.92 3131.58 32130.95 31810.47 31517.03 31340.62 309
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
cdsmvs_eth3d_5k17.50 29823.34 2960.00 3140.00 3280.00 3280.00 32078.63 1480.00 3240.00 32582.18 13149.25 830.00 3220.00 3230.00 3220.00 322
wuyk23d13.32 29912.52 30115.71 30947.54 31426.27 30731.06 3161.98 3264.93 3205.18 3221.94 3230.45 32318.54 3196.81 32012.83 3182.33 318
tmp_tt9.43 30011.14 3024.30 3112.38 3254.40 32513.62 31916.08 3240.39 32115.89 31613.06 31915.80 2955.54 32112.63 31410.46 3202.95 317
ab-mvs-re6.49 3018.65 3030.00 3140.00 3280.00 3280.00 3200.00 3280.00 3240.00 32577.89 2090.00 3260.00 3220.00 3230.00 3220.00 322
test1234.73 3026.30 3040.02 3120.01 3260.01 32756.36 2830.00 3280.01 3220.04 3230.21 3250.01 3250.00 3220.03 3220.00 3220.04 319
testmvs4.52 3036.03 3050.01 3130.01 3260.00 32853.86 2880.00 3280.01 3220.04 3230.27 3240.00 3260.00 3220.04 3210.00 3220.03 320
pcd_1.5k_mvsjas3.92 3045.23 3060.00 3140.00 3280.00 3280.00 3200.00 3280.00 3240.00 3250.00 32647.05 1170.00 3220.00 3230.00 3220.00 322
sosnet-low-res0.00 3050.00 3070.00 3140.00 3280.00 3280.00 3200.00 3280.00 3240.00 3250.00 3260.00 3260.00 3220.00 3230.00 3220.00 322
sosnet0.00 3050.00 3070.00 3140.00 3280.00 3280.00 3200.00 3280.00 3240.00 3250.00 3260.00 3260.00 3220.00 3230.00 3220.00 322
uncertanet0.00 3050.00 3070.00 3140.00 3280.00 3280.00 3200.00 3280.00 3240.00 3250.00 3260.00 3260.00 3220.00 3230.00 3220.00 322
Regformer0.00 3050.00 3070.00 3140.00 3280.00 3280.00 3200.00 3280.00 3240.00 3250.00 3260.00 3260.00 3220.00 3230.00 3220.00 322
uanet0.00 3050.00 3070.00 3140.00 3280.00 3280.00 3200.00 3280.00 3240.00 3250.00 3260.00 3260.00 3220.00 3230.00 3220.00 322
ambc65.13 22363.72 28537.07 26947.66 30278.78 14554.37 25371.42 26211.24 30680.94 16945.64 20653.85 28377.38 216
MTGPAbinary80.97 92
mvs-test171.61 6276.85 15352.67 12479.62 8479.61 11860.92 6570.95 6381.68 14156.44 1486.26 5462.04 10976.38 123
test_post13.64 321
test_post3.55 322
patchmatchnet-post64.03 288
GG-mvs-BLEND62.34 23871.36 23437.04 27069.20 23557.33 28154.73 24865.48 28730.37 24477.82 20834.82 26674.93 13072.17 267
MTMP17.08 323
gm-plane-assit71.40 23341.72 24648.85 21573.31 25682.48 14748.90 183
test9_res75.28 1288.31 1483.81 132
TEST985.58 2661.59 2281.62 5981.26 8355.65 15374.93 2088.81 3753.70 3984.68 91
test_885.40 2960.96 2981.54 6281.18 8655.86 14774.81 2388.80 3953.70 3984.45 96
agg_prior273.09 2687.93 2184.33 110
agg_prior85.04 3359.96 3781.04 8974.68 2484.04 103
TestCases64.39 22671.44 23049.03 18967.30 23545.97 24247.16 28079.77 18517.47 29167.56 25133.65 27059.16 26876.57 223
test_prior462.51 1582.08 53
test_prior281.75 5560.37 7575.01 1889.06 3156.22 1772.19 2888.96 7
test_prior76.69 3984.20 4457.27 6484.88 1286.43 5086.38 38
旧先验276.08 15345.32 24676.55 1265.56 26058.75 127
新几何276.12 151
新几何170.76 16685.66 2361.13 2766.43 24244.68 251