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
LCM-MVSNet86.90 188.67 181.57 2591.50 163.30 12684.80 3487.77 1086.18 196.26 196.06 190.32 184.49 6968.08 9597.05 196.93 1
TDRefinement86.32 286.33 286.29 188.64 3381.19 588.84 490.72 178.27 987.95 1592.53 1379.37 1384.79 6674.51 5196.15 292.88 7
abl_684.92 385.70 382.57 1786.72 4979.27 887.56 786.08 2877.48 1388.12 1491.53 2881.18 884.31 7578.12 2494.47 3784.15 125
test117284.85 485.39 583.21 388.34 3880.50 685.12 3085.22 4381.06 387.20 2890.28 7079.20 1485.58 4878.04 2794.08 5683.55 137
SR-MVS-dyc-post84.75 585.26 783.21 386.19 5579.18 987.23 986.27 2377.51 1187.65 1990.73 4679.20 1485.58 4878.11 2594.46 3884.89 94
HPM-MVS_fast84.59 685.10 883.06 688.60 3475.83 2786.27 2586.89 1873.69 2586.17 3691.70 2478.23 2085.20 5879.45 1394.91 2588.15 45
SR-MVS84.51 785.27 682.25 2188.52 3577.71 1786.81 1785.25 4277.42 1586.15 3790.24 7181.69 585.94 3377.77 2993.58 6783.09 153
ACMMPcopyleft84.22 884.84 1082.35 2089.23 2376.66 2687.65 685.89 3171.03 4585.85 4190.58 5078.77 1785.78 4179.37 1695.17 1784.62 106
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
LTVRE_ROB75.46 184.22 884.98 981.94 2384.82 7875.40 3091.60 387.80 873.52 2688.90 1193.06 671.39 7581.53 12181.53 392.15 8988.91 37
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
HPM-MVScopyleft84.12 1084.63 1182.60 1588.21 3974.40 3685.24 2987.21 1670.69 4885.14 5490.42 5878.99 1686.62 1480.83 694.93 2486.79 64
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CP-MVS84.12 1084.55 1282.80 1289.42 1879.74 788.19 584.43 6471.96 4284.70 6290.56 5177.12 2686.18 2779.24 1895.36 1382.49 172
mPP-MVS84.01 1284.39 1382.88 890.65 481.38 487.08 1382.79 9172.41 3685.11 5590.85 4276.65 3084.89 6379.30 1794.63 3482.35 175
COLMAP_ROBcopyleft72.78 383.75 1384.11 1782.68 1482.97 11074.39 3787.18 1188.18 778.98 786.11 3991.47 3079.70 1285.76 4266.91 11095.46 1187.89 47
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ACMMPR83.62 1483.93 1982.69 1389.78 1177.51 2287.01 1584.19 7370.23 4984.49 6490.67 4975.15 4386.37 1979.58 1194.26 5184.18 124
APD-MVS_3200maxsize83.57 1584.33 1481.31 3382.83 11373.53 4585.50 2887.45 1474.11 2186.45 3490.52 5480.02 1184.48 7077.73 3094.34 4985.93 75
region2R83.54 1683.86 2182.58 1689.82 1077.53 2087.06 1484.23 7270.19 5183.86 7390.72 4875.20 4286.27 2279.41 1594.25 5283.95 128
XVS83.51 1783.73 2282.85 1089.43 1677.61 1886.80 1884.66 5872.71 2982.87 8290.39 6273.86 5686.31 2078.84 2094.03 5784.64 104
LPG-MVS_test83.47 1884.33 1480.90 3887.00 4370.41 6682.04 6086.35 2069.77 5387.75 1691.13 3581.83 386.20 2577.13 3795.96 586.08 71
HFP-MVS83.39 1984.03 1881.48 2789.25 2175.69 2887.01 1584.27 6870.23 4984.47 6590.43 5676.79 2785.94 3379.58 1194.23 5382.82 162
MTAPA83.19 2083.87 2081.13 3591.16 278.16 1484.87 3280.63 12872.08 3984.93 5690.79 4374.65 4984.42 7280.98 494.75 2980.82 200
MP-MVScopyleft83.19 2083.54 2682.14 2290.54 579.00 1186.42 2383.59 8271.31 4381.26 10390.96 3974.57 5184.69 6778.41 2294.78 2882.74 166
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
ZNCC-MVS83.12 2283.68 2381.45 2989.14 2673.28 4786.32 2485.97 3067.39 6484.02 7190.39 6274.73 4886.46 1680.73 794.43 4284.60 109
PGM-MVS83.07 2383.25 3382.54 1889.57 1477.21 2482.04 6085.40 3967.96 6284.91 6090.88 4075.59 3886.57 1578.16 2394.71 3283.82 129
SteuartSystems-ACMMP83.07 2383.64 2481.35 3185.14 7471.00 6085.53 2784.78 5270.91 4685.64 4490.41 5975.55 4087.69 379.75 895.08 2085.36 84
Skip Steuart: Steuart Systems R&D Blog.
zzz-MVS83.01 2583.63 2581.13 3591.16 278.16 1482.72 5680.63 12872.08 3984.93 5690.79 4374.65 4984.42 7280.98 494.75 2980.82 200
APDe-MVS82.88 2684.14 1679.08 5784.80 8066.72 9686.54 2185.11 4572.00 4186.65 3391.75 2378.20 2187.04 977.93 2894.32 5083.47 142
GST-MVS82.79 2783.27 3281.34 3288.99 2873.29 4685.94 2685.13 4468.58 6084.14 7090.21 7373.37 6186.41 1779.09 1993.98 6084.30 123
ACMP69.50 882.64 2883.38 2980.40 4386.50 5169.44 7482.30 5786.08 2866.80 6986.70 3289.99 7681.64 685.95 3274.35 5296.11 385.81 77
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
MP-MVS-pluss82.54 2983.46 2879.76 4788.88 3268.44 8381.57 6386.33 2263.17 11085.38 5191.26 3476.33 3284.67 6883.30 194.96 2386.17 70
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
#test#82.40 3082.71 4181.48 2789.25 2175.69 2884.47 3684.27 6864.45 9484.47 6590.43 5676.79 2785.94 3376.01 3994.23 5382.82 162
ACMMP_NAP82.33 3183.28 3179.46 5389.28 1969.09 8183.62 4584.98 4864.77 9183.97 7291.02 3875.53 4185.93 3682.00 294.36 4783.35 147
SMA-MVScopyleft82.12 3282.68 4280.43 4288.90 3169.52 7285.12 3084.76 5363.53 10484.23 6991.47 3072.02 6787.16 779.74 1094.36 4784.61 107
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
ACMM69.25 982.11 3383.31 3078.49 6888.17 4073.96 3983.11 5284.52 6366.40 7487.45 2389.16 9481.02 980.52 14474.27 5395.73 780.98 196
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
DPE-MVScopyleft82.00 3483.02 3678.95 6285.36 7167.25 9082.91 5384.98 4873.52 2685.43 5090.03 7576.37 3186.97 1174.56 5094.02 5982.62 168
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
SED-MVS81.78 3583.48 2776.67 9186.12 5961.06 14083.62 4584.72 5572.61 3287.38 2589.70 8177.48 2485.89 3975.29 4594.39 4383.08 154
PMVScopyleft70.70 681.70 3683.15 3477.36 8590.35 682.82 282.15 5879.22 15274.08 2287.16 3091.97 1984.80 276.97 20564.98 12193.61 6572.28 287
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
UA-Net81.56 3782.28 4479.40 5488.91 3069.16 7984.67 3580.01 14275.34 1779.80 12094.91 269.79 8780.25 14972.63 6394.46 3888.78 41
CPTT-MVS81.51 3881.76 4780.76 4089.20 2478.75 1286.48 2282.03 10168.80 5680.92 10888.52 10672.00 6882.39 10674.80 4793.04 7381.14 191
DVP-MVS++81.24 3982.74 4076.76 9083.14 10360.90 14491.64 185.49 3574.03 2384.93 5690.38 6466.82 11485.90 3777.43 3390.78 12083.49 139
ACMH+66.64 1081.20 4082.48 4377.35 8681.16 13662.39 13080.51 6987.80 873.02 2887.57 2191.08 3780.28 1082.44 10564.82 12296.10 487.21 58
testtj81.19 4181.70 4979.67 5183.95 9369.77 7183.58 4884.63 6072.13 3882.85 8488.36 11175.00 4686.79 1271.99 7292.84 7682.44 173
DVP-MVScopyleft81.15 4283.12 3575.24 11386.16 5760.78 14683.77 4380.58 13172.48 3485.83 4290.41 5978.57 1885.69 4475.86 4294.39 4379.24 225
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
APD-MVScopyleft81.13 4381.73 4879.36 5584.47 8570.53 6583.85 4183.70 8069.43 5583.67 7588.96 10075.89 3686.41 1772.62 6492.95 7481.14 191
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
3Dnovator+73.19 281.08 4480.48 5782.87 981.41 13372.03 5084.38 3786.23 2677.28 1680.65 11190.18 7459.80 18087.58 473.06 6091.34 10289.01 33
DeepC-MVS72.44 481.00 4580.83 5681.50 2686.70 5070.03 7082.06 5987.00 1759.89 13480.91 10990.53 5272.19 6588.56 173.67 5794.52 3685.92 76
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OPM-MVS80.99 4681.63 5179.07 5886.86 4869.39 7579.41 8684.00 7865.64 7885.54 4889.28 8776.32 3383.47 8774.03 5493.57 6884.35 120
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
LS3D80.99 4680.85 5581.41 3078.37 16971.37 5687.45 885.87 3277.48 1381.98 9289.95 7869.14 9185.26 5466.15 11191.24 10487.61 51
SF-MVS80.72 4881.80 4677.48 8282.03 12464.40 11683.41 5088.46 665.28 8584.29 6789.18 9173.73 5983.22 9276.01 3993.77 6284.81 100
XVG-ACMP-BASELINE80.54 4981.06 5378.98 6187.01 4272.91 4880.23 7885.56 3466.56 7385.64 4489.57 8369.12 9280.55 14372.51 6593.37 6983.48 141
MSP-MVS80.49 5079.67 6582.96 789.70 1277.46 2387.16 1285.10 4664.94 9081.05 10588.38 11057.10 20787.10 879.75 883.87 22884.31 121
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
PEN-MVS80.46 5182.91 3773.11 14189.83 939.02 30577.06 11782.61 9580.04 590.60 692.85 974.93 4785.21 5763.15 14195.15 1895.09 2
PS-CasMVS80.41 5282.86 3973.07 14289.93 739.21 30277.15 11581.28 11479.74 690.87 492.73 1175.03 4584.93 6263.83 13295.19 1695.07 3
DTE-MVSNet80.35 5382.89 3872.74 15389.84 837.34 32077.16 11481.81 10480.45 490.92 392.95 774.57 5186.12 3063.65 13394.68 3394.76 6
xxxxxxxxxxxxxcwj80.31 5480.94 5478.42 7087.00 4367.23 9179.24 8788.61 556.65 16784.29 6789.18 9173.73 5983.22 9276.01 3993.77 6284.81 100
SD-MVS80.28 5581.55 5276.47 9683.57 9767.83 8783.39 5185.35 4164.42 9586.14 3887.07 12774.02 5580.97 13477.70 3192.32 8780.62 208
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
WR-MVS_H80.22 5682.17 4574.39 12089.46 1542.69 27978.24 10282.24 9878.21 1089.57 992.10 1868.05 10385.59 4766.04 11395.62 994.88 5
HPM-MVS++copyleft79.89 5779.80 6380.18 4589.02 2778.44 1383.49 4980.18 13964.71 9378.11 14088.39 10965.46 12983.14 9477.64 3291.20 10578.94 228
XVG-OURS-SEG-HR79.62 5879.99 6178.49 6886.46 5274.79 3477.15 11585.39 4066.73 7080.39 11588.85 10274.43 5478.33 18574.73 4985.79 20082.35 175
XVG-OURS79.51 5979.82 6278.58 6786.11 6274.96 3376.33 12584.95 5066.89 6682.75 8688.99 9966.82 11478.37 18374.80 4790.76 12382.40 174
CP-MVSNet79.48 6081.65 5072.98 14589.66 1339.06 30476.76 11980.46 13378.91 890.32 791.70 2468.49 9884.89 6363.40 13895.12 1995.01 4
OMC-MVS79.41 6178.79 7081.28 3480.62 14070.71 6480.91 6684.76 5362.54 11481.77 9586.65 14471.46 7383.53 8667.95 10092.44 8489.60 23
v7n79.37 6280.41 5876.28 9878.67 16855.81 18179.22 8982.51 9770.72 4787.54 2292.44 1468.00 10581.34 12272.84 6191.72 9191.69 10
ETH3D-3000-0.179.14 6379.80 6377.16 8980.67 13964.57 11380.26 7687.60 1260.74 12782.47 8988.03 11971.73 7081.81 11773.12 5993.61 6585.09 89
TSAR-MVS + MP.79.05 6478.81 6979.74 4888.94 2967.52 8886.61 2081.38 11251.71 22677.15 15291.42 3365.49 12887.20 679.44 1487.17 18584.51 115
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
mvs_tets78.93 6578.67 7379.72 4984.81 7973.93 4080.65 6876.50 19051.98 22487.40 2491.86 2176.09 3578.53 17568.58 9090.20 12986.69 66
test_djsdf78.88 6678.27 7680.70 4181.42 13271.24 5883.98 3975.72 19652.27 21987.37 2792.25 1668.04 10480.56 14172.28 6891.15 10790.32 20
HQP_MVS78.77 6778.78 7178.72 6485.18 7265.18 10882.74 5485.49 3565.45 8078.23 13789.11 9560.83 17086.15 2871.09 7490.94 11284.82 98
anonymousdsp78.60 6877.80 8081.00 3778.01 17574.34 3880.09 7976.12 19250.51 24189.19 1090.88 4071.45 7477.78 19773.38 5890.60 12590.90 16
OurMVSNet-221017-078.57 6978.53 7578.67 6580.48 14164.16 11780.24 7782.06 10061.89 11888.77 1293.32 457.15 20582.60 10470.08 8092.80 7889.25 27
jajsoiax78.51 7078.16 7879.59 5284.65 8273.83 4280.42 7176.12 19251.33 23287.19 2991.51 2973.79 5878.44 17968.27 9390.13 13486.49 68
CNVR-MVS78.49 7178.59 7478.16 7385.86 6667.40 8978.12 10581.50 10863.92 9977.51 14986.56 14868.43 10084.82 6573.83 5591.61 9682.26 178
DeepPCF-MVS71.07 578.48 7277.14 8782.52 1984.39 8977.04 2576.35 12384.05 7656.66 16680.27 11685.31 17568.56 9787.03 1067.39 10591.26 10383.50 138
DP-MVS78.44 7379.29 6775.90 10381.86 12765.33 10679.05 9184.63 6074.83 2080.41 11486.27 15571.68 7183.45 8862.45 14592.40 8578.92 229
ETH3D cwj APD-0.1678.38 7478.72 7277.38 8480.09 14466.16 10179.08 9086.13 2757.55 15780.93 10787.76 12271.98 6982.73 10272.11 7192.83 7783.25 149
NCCC78.25 7578.04 7978.89 6385.61 6869.45 7379.80 8380.99 12365.77 7775.55 18286.25 15767.42 10885.42 5070.10 7990.88 11881.81 184
test_040278.17 7679.48 6674.24 12383.50 9859.15 16272.52 16274.60 20975.34 1788.69 1391.81 2275.06 4482.37 10765.10 11988.68 16081.20 189
AllTest77.66 7777.43 8278.35 7179.19 15770.81 6178.60 9588.64 365.37 8380.09 11888.17 11570.33 8178.43 18055.60 19790.90 11685.81 77
PS-MVSNAJss77.54 7877.35 8478.13 7584.88 7766.37 9978.55 9679.59 14753.48 21086.29 3592.43 1562.39 15280.25 14967.90 10190.61 12487.77 48
ACMH63.62 1477.50 7980.11 6069.68 19279.61 14856.28 17778.81 9283.62 8163.41 10887.14 3190.23 7276.11 3473.32 24467.58 10294.44 4179.44 223
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CDPH-MVS77.33 8077.06 8878.14 7484.21 9063.98 11976.07 12883.45 8354.20 19877.68 14887.18 12369.98 8485.37 5168.01 9792.72 8285.08 91
DeepC-MVS_fast69.89 777.17 8176.33 9279.70 5083.90 9567.94 8580.06 8183.75 7956.73 16574.88 19085.32 17465.54 12787.79 265.61 11791.14 10883.35 147
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DROMVSNet77.08 8277.39 8376.14 10176.86 19556.87 17580.32 7587.52 1363.45 10674.66 19684.52 18269.87 8684.94 6169.76 8489.59 14586.60 67
test_part176.97 8378.21 7773.25 13877.87 17745.76 25578.27 10187.26 1566.69 7185.31 5291.43 3255.95 21684.24 7765.71 11595.43 1289.75 22
X-MVStestdata76.81 8474.79 10582.85 1089.43 1677.61 1886.80 1884.66 5872.71 2982.87 829.95 37373.86 5686.31 2078.84 2094.03 5784.64 104
UniMVSNet_ETH3D76.74 8579.02 6869.92 19189.27 2043.81 26774.47 14971.70 22972.33 3785.50 4993.65 377.98 2276.88 20854.60 20791.64 9489.08 31
test_prior376.71 8677.19 8575.27 11182.15 12259.85 15575.57 13284.33 6658.92 14276.53 17186.78 13567.83 10683.39 8969.81 8292.76 8082.58 169
CS-MVS76.42 8776.03 9477.57 7977.07 18663.35 12480.80 6782.77 9260.39 13074.11 20483.29 20269.71 8881.97 11469.28 8786.87 18787.38 55
train_agg76.38 8876.55 8975.86 10485.47 6969.32 7776.42 12178.69 16154.00 20376.97 15586.74 13866.60 11781.10 12872.50 6691.56 9777.15 248
TranMVSNet+NR-MVSNet76.13 8977.66 8171.56 16784.61 8342.57 28170.98 18878.29 17068.67 5983.04 7989.26 8872.99 6380.75 14055.58 20095.47 1091.35 11
agg_prior175.89 9076.41 9074.31 12284.44 8766.02 10276.12 12778.62 16454.40 19276.95 15786.85 13266.44 12080.34 14672.45 6791.42 10076.57 252
CS-MVS-test75.88 9175.24 10377.78 7777.30 18563.59 12277.02 11886.83 1960.82 12674.17 20279.23 24965.42 13082.29 11069.48 8686.87 18787.47 53
SixPastTwentyTwo75.77 9276.34 9174.06 12681.69 13054.84 18676.47 12075.49 19864.10 9887.73 1892.24 1750.45 24181.30 12467.41 10491.46 9986.04 73
RPSCF75.76 9374.37 11179.93 4674.81 21977.53 2077.53 10979.30 15159.44 13778.88 12989.80 8071.26 7673.09 24657.45 18080.89 26289.17 30
ETH3 D test640075.73 9476.00 9574.92 11481.75 12856.93 17378.31 9984.60 6252.83 21577.15 15285.14 17768.59 9684.03 7865.44 11890.20 12983.82 129
v1075.69 9576.20 9374.16 12474.44 23048.69 22275.84 13182.93 9059.02 14185.92 4089.17 9358.56 19082.74 10170.73 7689.14 15591.05 13
Anonymous2023121175.54 9677.19 8570.59 17677.67 18245.70 25774.73 14580.19 13868.80 5682.95 8192.91 866.26 12176.76 21158.41 17692.77 7989.30 26
Effi-MVS+-dtu75.43 9772.28 14784.91 277.05 18783.58 178.47 9777.70 17757.68 15274.89 18978.13 26664.80 13684.26 7656.46 18985.32 20786.88 63
Regformer-275.32 9874.47 10977.88 7674.22 23266.65 9772.77 16077.54 17968.47 6180.44 11372.08 31470.60 8080.97 13470.08 8084.02 22686.01 74
F-COLMAP75.29 9973.99 11679.18 5681.73 12971.90 5181.86 6282.98 8859.86 13572.27 22784.00 18964.56 13983.07 9751.48 22887.19 18482.56 171
HQP-MVS75.24 10075.01 10475.94 10282.37 11758.80 16577.32 11184.12 7459.08 13871.58 23585.96 16758.09 19585.30 5367.38 10689.16 15283.73 135
TAPA-MVS65.27 1275.16 10174.29 11377.77 7874.86 21868.08 8477.89 10684.04 7755.15 18076.19 17883.39 19666.91 11280.11 15460.04 16590.14 13385.13 88
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
IS-MVSNet75.10 10275.42 10274.15 12579.23 15548.05 23179.43 8478.04 17370.09 5279.17 12788.02 12053.04 22683.60 8458.05 17893.76 6490.79 17
v875.07 10375.64 9973.35 13573.42 24247.46 24075.20 13681.45 11060.05 13285.64 4489.26 8858.08 19781.80 11869.71 8587.97 16890.79 17
UniMVSNet (Re)75.00 10475.48 10173.56 13383.14 10347.92 23370.41 19681.04 12263.67 10279.54 12286.37 15362.83 14681.82 11657.10 18395.25 1590.94 15
PHI-MVS74.92 10574.36 11276.61 9276.40 19862.32 13180.38 7283.15 8654.16 20073.23 21680.75 22762.19 15583.86 8068.02 9690.92 11583.65 136
DU-MVS74.91 10675.57 10072.93 14783.50 9845.79 25369.47 20480.14 14065.22 8681.74 9787.08 12561.82 15881.07 13056.21 19294.98 2191.93 8
UniMVSNet_NR-MVSNet74.90 10775.65 9872.64 15683.04 10845.79 25369.26 20778.81 15866.66 7281.74 9786.88 13163.26 14481.07 13056.21 19294.98 2191.05 13
nrg03074.87 10875.99 9671.52 16874.90 21749.88 21874.10 15382.58 9654.55 19183.50 7789.21 9071.51 7275.74 22061.24 15292.34 8688.94 36
Vis-MVSNetpermissive74.85 10974.56 10775.72 10581.63 13164.64 11276.35 12379.06 15462.85 11273.33 21488.41 10862.54 15079.59 16063.94 13182.92 23882.94 158
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Regformer-474.64 11073.67 12277.55 8074.74 22164.49 11572.91 15875.42 20067.45 6380.24 11772.07 31668.98 9380.19 15370.29 7880.91 26087.98 46
MSLP-MVS++74.48 11175.78 9770.59 17684.66 8162.40 12978.65 9484.24 7160.55 12977.71 14781.98 21463.12 14577.64 19962.95 14288.14 16371.73 292
Regformer-174.28 11273.63 12476.21 10074.22 23264.12 11872.77 16075.46 19966.86 6879.27 12572.08 31469.29 9078.74 17168.73 8984.02 22685.77 82
AdaColmapbinary74.22 11374.56 10773.20 13981.95 12560.97 14279.43 8480.90 12465.57 7972.54 22481.76 21870.98 7885.26 5447.88 25890.00 13573.37 275
CSCG74.12 11474.39 11073.33 13679.35 15261.66 13677.45 11081.98 10262.47 11679.06 12880.19 23661.83 15778.79 17059.83 16787.35 17879.54 222
PAPM_NR73.91 11574.16 11473.16 14081.90 12653.50 19681.28 6481.40 11166.17 7573.30 21583.31 20159.96 17683.10 9658.45 17581.66 25482.87 160
EPP-MVSNet73.86 11673.38 12875.31 11078.19 17153.35 19880.45 7077.32 18365.11 8876.47 17386.80 13349.47 24583.77 8153.89 21692.72 8288.81 40
mvs-test173.81 11770.69 16983.18 577.05 18781.39 375.39 13477.70 17757.68 15271.19 24574.72 29164.80 13683.66 8356.46 18981.19 25884.50 116
RRT_MVS73.80 11871.19 16481.60 2471.04 26570.33 6878.78 9374.91 20656.96 16177.83 14485.56 17232.82 32887.39 571.16 7391.68 9387.07 62
K. test v373.67 11973.61 12573.87 12879.78 14655.62 18474.69 14762.04 29866.16 7684.76 6193.23 549.47 24580.97 13465.66 11686.67 19385.02 93
NR-MVSNet73.62 12074.05 11572.33 16283.50 9843.71 26865.65 26277.32 18364.32 9675.59 18187.08 12562.45 15181.34 12254.90 20395.63 891.93 8
DP-MVS Recon73.57 12172.69 14176.23 9982.85 11263.39 12374.32 15082.96 8957.75 15170.35 25281.98 21464.34 14184.41 7449.69 24289.95 13780.89 198
CNLPA73.44 12273.03 13774.66 11578.27 17075.29 3175.99 12978.49 16665.39 8275.67 18083.22 20661.23 16666.77 30153.70 21885.33 20681.92 183
MCST-MVS73.42 12373.34 13073.63 13281.28 13459.17 16174.80 14383.13 8745.50 27972.84 21983.78 19265.15 13380.99 13264.54 12389.09 15780.73 205
v119273.40 12473.42 12673.32 13774.65 22748.67 22372.21 16581.73 10552.76 21681.85 9384.56 18157.12 20682.24 11268.58 9087.33 17989.06 32
114514_t73.40 12473.33 13173.64 13184.15 9257.11 17278.20 10380.02 14143.76 29372.55 22386.07 16564.00 14283.35 9160.14 16391.03 11180.45 211
FC-MVSNet-test73.32 12674.78 10668.93 20579.21 15636.57 32271.82 17679.54 14957.63 15682.57 8890.38 6459.38 18378.99 16657.91 17994.56 3591.23 12
v114473.29 12773.39 12773.01 14374.12 23648.11 23072.01 16881.08 12153.83 20781.77 9584.68 17958.07 19881.91 11568.10 9486.86 18988.99 35
GeoE73.14 12873.77 12171.26 17178.09 17352.64 20174.32 15079.56 14856.32 17076.35 17683.36 20070.76 7977.96 19363.32 13981.84 24983.18 152
baseline73.10 12973.96 11770.51 17871.46 26346.39 25172.08 16684.40 6555.95 17376.62 16786.46 15167.20 10978.03 19264.22 12687.27 18287.11 61
h-mvs3373.08 13071.61 15777.48 8283.89 9672.89 4970.47 19471.12 24454.28 19477.89 14183.41 19549.04 24880.98 13363.62 13490.77 12278.58 232
TSAR-MVS + GP.73.08 13071.60 15877.54 8178.99 16470.73 6374.96 13869.38 25560.73 12874.39 20078.44 26057.72 20282.78 10060.16 16289.60 14479.11 227
v124073.06 13273.14 13372.84 15074.74 22147.27 24371.88 17581.11 11851.80 22582.28 9184.21 18656.22 21482.34 10868.82 8887.17 18588.91 37
casdiffmvs73.06 13273.84 11870.72 17471.32 26446.71 24770.93 18984.26 7055.62 17677.46 15087.10 12467.09 11077.81 19563.95 12986.83 19087.64 50
IterMVS-LS73.01 13473.12 13572.66 15573.79 23949.90 21571.63 17778.44 16758.22 14680.51 11286.63 14558.15 19479.62 15862.51 14388.20 16288.48 43
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CANet73.00 13571.84 15276.48 9575.82 20761.28 13874.81 14180.37 13663.17 11062.43 30680.50 23161.10 16885.16 6064.00 12884.34 22283.01 157
v14419272.99 13673.06 13672.77 15174.58 22847.48 23971.90 17480.44 13451.57 22881.46 10184.11 18858.04 19982.12 11367.98 9887.47 17588.70 42
MVS_111021_HR72.98 13772.97 13972.99 14480.82 13765.47 10568.81 21472.77 22057.67 15475.76 17982.38 21171.01 7777.17 20361.38 15186.15 19676.32 253
v192192072.96 13872.98 13872.89 14974.67 22447.58 23871.92 17380.69 12751.70 22781.69 9983.89 19056.58 21282.25 11168.34 9287.36 17788.82 39
CLD-MVS72.88 13972.36 14674.43 11977.03 18954.30 19068.77 21783.43 8452.12 22176.79 16574.44 29569.54 8983.91 7955.88 19593.25 7285.09 89
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
Regformer-372.86 14072.28 14774.62 11674.74 22160.18 15272.91 15871.76 22864.74 9278.42 13572.07 31667.00 11176.28 21567.97 9980.91 26087.39 54
EI-MVSNet-Vis-set72.78 14171.87 15175.54 10874.77 22059.02 16372.24 16471.56 23263.92 9978.59 13171.59 32266.22 12278.60 17367.58 10280.32 26889.00 34
ETV-MVS72.72 14272.16 15074.38 12176.90 19355.95 17873.34 15684.67 5762.04 11772.19 23070.81 32665.90 12585.24 5658.64 17384.96 21481.95 182
PCF-MVS63.80 1372.70 14371.69 15475.72 10578.10 17260.01 15473.04 15781.50 10845.34 28379.66 12184.35 18565.15 13382.65 10348.70 25089.38 15184.50 116
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
EI-MVSNet-UG-set72.63 14471.68 15575.47 10974.67 22458.64 16872.02 16771.50 23363.53 10478.58 13371.39 32565.98 12378.53 17567.30 10880.18 27089.23 28
Anonymous2024052972.56 14573.79 12068.86 20776.89 19445.21 25968.80 21677.25 18567.16 6576.89 16090.44 5565.95 12474.19 24050.75 23490.00 13587.18 60
FIs72.56 14573.80 11968.84 20878.74 16737.74 31671.02 18779.83 14356.12 17180.88 11089.45 8558.18 19278.28 18656.63 18593.36 7090.51 19
v2v48272.55 14772.58 14372.43 15972.92 25446.72 24671.41 18079.13 15355.27 17881.17 10485.25 17655.41 21781.13 12767.25 10985.46 20289.43 25
hse-mvs272.32 14870.66 17077.31 8783.10 10771.77 5269.19 20971.45 23554.28 19477.89 14178.26 26249.04 24879.23 16263.62 13489.13 15680.92 197
canonicalmvs72.29 14973.38 12869.04 20074.23 23147.37 24173.93 15483.18 8554.36 19376.61 16881.64 22072.03 6675.34 22457.12 18287.28 18184.40 118
Effi-MVS+72.10 15072.28 14771.58 16674.21 23550.33 21174.72 14682.73 9362.62 11370.77 24876.83 27669.96 8580.97 13460.20 16078.43 28783.45 144
MVS_111021_LR72.10 15071.82 15372.95 14679.53 15073.90 4170.45 19566.64 26856.87 16276.81 16481.76 21868.78 9471.76 26461.81 14683.74 23073.18 277
pmmvs671.82 15273.66 12366.31 23775.94 20642.01 28366.99 24472.53 22363.45 10676.43 17492.78 1072.95 6469.69 27851.41 22990.46 12687.22 57
PLCcopyleft62.01 1671.79 15370.28 17276.33 9780.31 14368.63 8278.18 10481.24 11554.57 19067.09 28080.63 22959.44 18181.74 12046.91 26584.17 22378.63 230
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
VDDNet71.60 15473.13 13467.02 23086.29 5341.11 28869.97 19866.50 26968.72 5874.74 19291.70 2459.90 17775.81 21848.58 25291.72 9184.15 125
3Dnovator65.95 1171.50 15571.22 16372.34 16173.16 24663.09 12778.37 9878.32 16857.67 15472.22 22984.61 18054.77 21878.47 17760.82 15881.07 25975.45 259
WR-MVS71.20 15672.48 14467.36 22584.98 7635.70 33064.43 27768.66 25965.05 8981.49 10086.43 15257.57 20376.48 21350.36 23893.32 7189.90 21
V4271.06 15770.83 16771.72 16567.25 29947.14 24465.94 25680.35 13751.35 23183.40 7883.23 20459.25 18478.80 16965.91 11480.81 26489.23 28
FMVSNet171.06 15772.48 14466.81 23177.65 18340.68 29371.96 17073.03 21561.14 12279.45 12490.36 6760.44 17275.20 22650.20 23988.05 16584.54 111
dcpmvs_271.02 15972.65 14266.16 23876.06 20550.49 21071.97 16979.36 15050.34 24282.81 8583.63 19364.38 14067.27 29561.54 15083.71 23280.71 207
API-MVS70.97 16071.51 16069.37 19475.20 21255.94 17980.99 6576.84 18762.48 11571.24 24377.51 27261.51 16280.96 13852.04 22485.76 20171.22 297
VDD-MVS70.81 16171.44 16168.91 20679.07 16246.51 24867.82 23070.83 24861.23 12174.07 20688.69 10359.86 17875.62 22151.11 23190.28 12884.61 107
EG-PatchMatch MVS70.70 16270.88 16670.16 18482.64 11658.80 16571.48 17873.64 21354.98 18176.55 16981.77 21761.10 16878.94 16754.87 20480.84 26372.74 282
Baseline_NR-MVSNet70.62 16373.19 13262.92 26976.97 19034.44 33868.84 21270.88 24760.25 13179.50 12390.53 5261.82 15869.11 28254.67 20695.27 1485.22 85
alignmvs70.54 16471.00 16569.15 19973.50 24048.04 23269.85 20179.62 14453.94 20676.54 17082.00 21359.00 18674.68 23357.32 18187.21 18384.72 102
MG-MVS70.47 16571.34 16267.85 21979.26 15440.42 29774.67 14875.15 20558.41 14568.74 26988.14 11856.08 21583.69 8259.90 16681.71 25379.43 224
AUN-MVS70.22 16667.88 20277.22 8882.96 11171.61 5369.08 21071.39 23649.17 25571.70 23378.07 26737.62 31379.21 16361.81 14689.15 15480.82 200
UGNet70.20 16769.05 18273.65 13076.24 20063.64 12075.87 13072.53 22361.48 12060.93 31686.14 16152.37 23077.12 20450.67 23585.21 20880.17 216
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
PVSNet_Blended_VisFu70.04 16868.88 18573.53 13482.71 11463.62 12174.81 14181.95 10348.53 26167.16 27979.18 25251.42 23678.38 18254.39 21179.72 27778.60 231
Fast-Effi-MVS+-dtu70.00 16968.74 18973.77 12973.47 24164.53 11471.36 18178.14 17255.81 17568.84 26874.71 29265.36 13175.75 21952.00 22579.00 28181.03 193
DPM-MVS69.98 17069.22 18172.26 16382.69 11558.82 16470.53 19381.23 11647.79 26864.16 29480.21 23451.32 23783.12 9560.14 16384.95 21574.83 265
MVSFormer69.93 17169.03 18372.63 15774.93 21559.19 15983.98 3975.72 19652.27 21963.53 30276.74 27743.19 27980.56 14172.28 6878.67 28578.14 240
MVS_Test69.84 17270.71 16867.24 22667.49 29843.25 27569.87 20081.22 11752.69 21771.57 23886.68 14162.09 15674.51 23566.05 11278.74 28383.96 127
c3_l69.82 17369.89 17469.61 19366.24 30743.48 27168.12 22779.61 14651.43 23077.72 14680.18 23754.61 22178.15 19163.62 13487.50 17487.20 59
TransMVSNet (Re)69.62 17471.63 15663.57 25876.51 19735.93 32865.75 26171.29 23961.05 12375.02 18789.90 7965.88 12670.41 27649.79 24189.48 14784.38 119
EI-MVSNet69.61 17569.01 18471.41 17073.94 23749.90 21571.31 18371.32 23758.22 14675.40 18570.44 32858.16 19375.85 21662.51 14379.81 27488.48 43
Gipumacopyleft69.55 17672.83 14059.70 29363.63 32753.97 19280.08 8075.93 19464.24 9773.49 21188.93 10157.89 20162.46 31859.75 16891.55 9862.67 346
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
tttt051769.46 17767.79 20374.46 11775.34 21052.72 20075.05 13763.27 28954.69 18778.87 13084.37 18426.63 35781.15 12663.95 12987.93 16989.51 24
eth_miper_zixun_eth69.42 17868.73 19071.50 16967.99 29246.42 24967.58 23278.81 15850.72 23978.13 13980.34 23350.15 24380.34 14660.18 16184.65 21687.74 49
BH-untuned69.39 17969.46 17669.18 19877.96 17656.88 17468.47 22477.53 18056.77 16477.79 14579.63 24360.30 17480.20 15246.04 27180.65 26570.47 302
v14869.38 18069.39 17769.36 19569.14 28544.56 26268.83 21372.70 22154.79 18578.59 13184.12 18754.69 21976.74 21259.40 17082.20 24486.79 64
112169.23 18168.26 19472.12 16488.36 3771.40 5568.59 21962.06 29643.80 29274.75 19186.18 15852.92 22776.85 20954.47 20883.27 23668.12 319
PAPR69.20 18268.66 19170.82 17375.15 21447.77 23575.31 13581.11 11849.62 25266.33 28279.27 24861.53 16182.96 9848.12 25681.50 25681.74 185
QAPM69.18 18369.26 17968.94 20471.61 26252.58 20280.37 7378.79 16049.63 25173.51 21085.14 17753.66 22479.12 16455.11 20275.54 30375.11 263
LCM-MVSNet-Re69.10 18471.57 15961.70 27770.37 27434.30 34061.45 30079.62 14456.81 16389.59 888.16 11768.44 9972.94 24742.30 28887.33 17977.85 245
EPNet69.10 18467.32 20874.46 11768.33 28961.27 13977.56 10863.57 28760.95 12456.62 33282.75 20751.53 23581.24 12554.36 21290.20 12980.88 199
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DELS-MVS68.83 18668.31 19270.38 17970.55 27348.31 22663.78 28482.13 9954.00 20368.96 26575.17 28758.95 18780.06 15558.55 17482.74 24082.76 164
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
Fast-Effi-MVS+68.81 18768.30 19370.35 18074.66 22648.61 22466.06 25578.32 16850.62 24071.48 24175.54 28368.75 9579.59 16050.55 23778.73 28482.86 161
OpenMVScopyleft62.51 1568.76 18868.75 18868.78 20970.56 27253.91 19378.29 10077.35 18248.85 25870.22 25483.52 19452.65 22976.93 20655.31 20181.99 24675.49 258
VPA-MVSNet68.71 18970.37 17163.72 25676.13 20238.06 31464.10 27971.48 23456.60 16974.10 20588.31 11264.78 13869.72 27747.69 26090.15 13283.37 146
BH-RMVSNet68.69 19068.20 19870.14 18576.40 19853.90 19464.62 27473.48 21458.01 14873.91 20881.78 21659.09 18578.22 18748.59 25177.96 29278.31 235
EIA-MVS68.59 19167.16 21072.90 14875.18 21355.64 18369.39 20581.29 11352.44 21864.53 29070.69 32760.33 17382.30 10954.27 21376.31 29880.75 204
pm-mvs168.40 19269.85 17564.04 25473.10 25039.94 29964.61 27570.50 24955.52 17773.97 20789.33 8663.91 14368.38 28649.68 24388.02 16683.81 131
miper_ehance_all_eth68.36 19368.16 19968.98 20265.14 31843.34 27367.07 24378.92 15749.11 25676.21 17777.72 26953.48 22577.92 19461.16 15484.59 21885.68 83
GBi-Net68.30 19468.79 18666.81 23173.14 24740.68 29371.96 17073.03 21554.81 18274.72 19390.36 6748.63 25475.20 22647.12 26285.37 20384.54 111
test168.30 19468.79 18666.81 23173.14 24740.68 29371.96 17073.03 21554.81 18274.72 19390.36 6748.63 25475.20 22647.12 26285.37 20384.54 111
DIV-MVS_self_test68.27 19668.26 19468.29 21464.98 31943.67 26965.89 25774.67 20750.04 24776.86 16282.43 20948.74 25275.38 22260.94 15689.81 14085.81 77
cl____68.26 19768.26 19468.29 21464.98 31943.67 26965.89 25774.67 20750.04 24776.86 16282.42 21048.74 25275.38 22260.92 15789.81 14085.80 81
TinyColmap67.98 19869.28 17864.08 25267.98 29346.82 24570.04 19775.26 20353.05 21277.36 15186.79 13459.39 18272.59 25445.64 27388.01 16772.83 280
xiu_mvs_v1_base_debu67.87 19967.07 21170.26 18179.13 15961.90 13367.34 23671.25 24047.98 26467.70 27374.19 30161.31 16372.62 25156.51 18678.26 28976.27 254
xiu_mvs_v1_base67.87 19967.07 21170.26 18179.13 15961.90 13367.34 23671.25 24047.98 26467.70 27374.19 30161.31 16372.62 25156.51 18678.26 28976.27 254
xiu_mvs_v1_base_debi67.87 19967.07 21170.26 18179.13 15961.90 13367.34 23671.25 24047.98 26467.70 27374.19 30161.31 16372.62 25156.51 18678.26 28976.27 254
MAR-MVS67.72 20266.16 21772.40 16074.45 22964.99 11174.87 13977.50 18148.67 25965.78 28668.58 34657.01 20977.79 19646.68 26881.92 24774.42 268
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
IterMVS-SCA-FT67.68 20366.07 21872.49 15873.34 24458.20 17063.80 28365.55 27448.10 26376.91 15982.64 20845.20 26678.84 16861.20 15377.89 29380.44 212
LF4IMVS67.50 20467.31 20968.08 21758.86 35161.93 13271.43 17975.90 19544.67 28872.42 22680.20 23557.16 20470.44 27458.99 17286.12 19771.88 290
FMVSNet267.48 20568.21 19765.29 24373.14 24738.94 30668.81 21471.21 24354.81 18276.73 16686.48 15048.63 25474.60 23447.98 25786.11 19882.35 175
MSDG67.47 20667.48 20767.46 22470.70 26954.69 18866.90 24778.17 17160.88 12570.41 25174.76 28961.22 16773.18 24547.38 26176.87 29574.49 267
diffmvs67.42 20767.50 20667.20 22762.26 33245.21 25964.87 27177.04 18648.21 26271.74 23279.70 24258.40 19171.17 26864.99 12080.27 26985.22 85
cl2267.14 20866.51 21569.03 20163.20 32843.46 27266.88 24876.25 19149.22 25474.48 19877.88 26845.49 26577.40 20160.64 15984.59 21886.24 69
ANet_high67.08 20969.94 17358.51 30257.55 35627.09 36558.43 31976.80 18863.56 10382.40 9091.93 2059.82 17964.98 30950.10 24088.86 15983.46 143
LFMVS67.06 21067.89 20164.56 24878.02 17438.25 31170.81 19259.60 30465.18 8771.06 24686.56 14843.85 27575.22 22546.35 26989.63 14380.21 215
thisisatest053067.05 21165.16 22472.73 15473.10 25050.55 20971.26 18563.91 28550.22 24474.46 19980.75 22726.81 35680.25 14959.43 16986.50 19487.37 56
bset_n11_16_dypcd66.91 21265.84 22070.12 18672.95 25353.54 19563.64 28568.65 26048.54 26072.54 22474.28 29840.58 29678.54 17463.52 13787.82 17078.29 236
MIMVSNet166.57 21369.23 18058.59 30181.26 13537.73 31764.06 28057.62 31057.02 16078.40 13690.75 4562.65 14758.10 33141.77 29389.58 14679.95 217
tfpnnormal66.48 21467.93 20062.16 27573.40 24336.65 32163.45 28764.99 27755.97 17272.82 22087.80 12157.06 20869.10 28348.31 25587.54 17280.72 206
KD-MVS_self_test66.38 21567.51 20562.97 26761.76 33434.39 33958.11 32175.30 20250.84 23877.12 15485.42 17356.84 21069.44 27951.07 23291.16 10685.08 91
Anonymous20240521166.02 21666.89 21463.43 26174.22 23238.14 31259.00 31666.13 27063.33 10969.76 25985.95 16851.88 23170.50 27344.23 28087.52 17381.64 186
miper_enhance_ethall65.86 21765.05 23268.28 21661.62 33642.62 28064.74 27277.97 17442.52 30273.42 21372.79 31149.66 24477.68 19858.12 17784.59 21884.54 111
RRT_test8_iter0565.80 21865.13 22767.80 22267.02 30240.85 29267.13 24275.33 20149.73 24972.69 22181.32 22124.45 36777.37 20261.69 14986.82 19185.18 87
RPMNet65.77 21965.08 23167.84 22066.37 30448.24 22870.93 18986.27 2354.66 18861.35 31086.77 13733.29 32585.67 4655.93 19470.17 33369.62 311
VPNet65.58 22067.56 20459.65 29479.72 14730.17 35760.27 31062.14 29354.19 19971.24 24386.63 14558.80 18867.62 29144.17 28190.87 11981.18 190
PVSNet_BlendedMVS65.38 22164.30 23368.61 21069.81 27849.36 21965.60 26478.96 15545.50 27959.98 31978.61 25851.82 23278.20 18844.30 27884.11 22478.27 237
TAMVS65.31 22263.75 23869.97 19082.23 12159.76 15766.78 24963.37 28845.20 28469.79 25879.37 24747.42 26072.17 25734.48 33685.15 21077.99 244
test_yl65.11 22365.09 22965.18 24470.59 27040.86 29063.22 29272.79 21857.91 14968.88 26679.07 25542.85 28274.89 23045.50 27484.97 21179.81 218
DCV-MVSNet65.11 22365.09 22965.18 24470.59 27040.86 29063.22 29272.79 21857.91 14968.88 26679.07 25542.85 28274.89 23045.50 27484.97 21179.81 218
mvs_anonymous65.08 22565.49 22163.83 25563.79 32537.60 31866.52 25269.82 25343.44 29773.46 21286.08 16458.79 18971.75 26551.90 22675.63 30282.15 179
FMVSNet365.00 22665.16 22464.52 24969.47 28137.56 31966.63 25070.38 25051.55 22974.72 19383.27 20337.89 31274.44 23647.12 26285.37 20381.57 187
ECVR-MVScopyleft64.82 22765.22 22263.60 25778.80 16531.14 35466.97 24556.47 32054.23 19669.94 25688.68 10437.23 31474.81 23245.28 27689.41 14984.86 96
BH-w/o64.81 22864.29 23466.36 23676.08 20454.71 18765.61 26375.23 20450.10 24671.05 24771.86 32154.33 22279.02 16538.20 31476.14 29965.36 334
EGC-MVSNET64.77 22961.17 26075.60 10786.90 4774.47 3584.04 3868.62 2610.60 3751.13 37791.61 2765.32 13274.15 24164.01 12788.28 16178.17 239
test111164.62 23065.19 22362.93 26879.01 16329.91 35865.45 26554.41 32854.09 20171.47 24288.48 10737.02 31574.29 23946.83 26789.94 13884.58 110
cascas64.59 23162.77 24970.05 18875.27 21150.02 21461.79 29971.61 23042.46 30363.68 30068.89 34349.33 24780.35 14547.82 25984.05 22579.78 220
TR-MVS64.59 23163.54 24167.73 22375.75 20950.83 20863.39 28870.29 25149.33 25371.55 23974.55 29350.94 23878.46 17840.43 30075.69 30173.89 272
PM-MVS64.49 23363.61 24067.14 22976.68 19675.15 3268.49 22342.85 35951.17 23577.85 14380.51 23045.76 26166.31 30452.83 22376.35 29759.96 352
jason64.47 23462.84 24869.34 19776.91 19259.20 15867.15 24165.67 27135.29 33865.16 28876.74 27744.67 27070.68 27054.74 20579.28 28078.14 240
jason: jason.
xiu_mvs_v2_base64.43 23563.96 23665.85 24277.72 18151.32 20663.63 28672.31 22645.06 28761.70 30769.66 33662.56 14873.93 24349.06 24773.91 31572.31 286
pmmvs-eth3d64.41 23663.27 24467.82 22175.81 20860.18 15269.49 20362.05 29738.81 32374.13 20382.23 21243.76 27668.65 28442.53 28780.63 26774.63 266
CDS-MVSNet64.33 23762.66 25069.35 19680.44 14258.28 16965.26 26765.66 27244.36 28967.30 27875.54 28343.27 27871.77 26337.68 31784.44 22178.01 243
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
PS-MVSNAJ64.27 23863.73 23965.90 24177.82 17951.42 20563.33 28972.33 22545.09 28661.60 30868.04 34762.39 15273.95 24249.07 24673.87 31672.34 285
ab-mvs64.11 23965.13 22761.05 28471.99 26038.03 31567.59 23168.79 25849.08 25765.32 28786.26 15658.02 20066.85 29939.33 30479.79 27678.27 237
CANet_DTU64.04 24063.83 23764.66 24768.39 28642.97 27773.45 15574.50 21052.05 22354.78 33975.44 28643.99 27470.42 27553.49 22078.41 28880.59 209
VNet64.01 24165.15 22660.57 28873.28 24535.61 33157.60 32367.08 26654.61 18966.76 28183.37 19856.28 21366.87 29742.19 28985.20 20979.23 226
Anonymous2024052163.55 24266.07 21855.99 30966.18 30944.04 26668.77 21768.80 25746.99 27372.57 22285.84 16939.87 30050.22 34053.40 22292.23 8873.71 274
lupinMVS63.36 24361.49 25868.97 20374.93 21559.19 15965.80 26064.52 28234.68 34363.53 30274.25 29943.19 27970.62 27153.88 21778.67 28577.10 249
ET-MVSNet_ETH3D63.32 24460.69 26671.20 17270.15 27755.66 18265.02 27064.32 28343.28 30168.99 26472.05 32025.46 36378.19 19054.16 21582.80 23979.74 221
MVSTER63.29 24561.60 25768.36 21259.77 34846.21 25260.62 30771.32 23741.83 30575.40 18579.12 25330.25 34975.85 21656.30 19179.81 27483.03 156
OpenMVS_ROBcopyleft54.93 1763.23 24663.28 24363.07 26569.81 27845.34 25868.52 22267.14 26543.74 29470.61 25079.22 25047.90 25872.66 25048.75 24973.84 31771.21 298
IterMVS63.12 24762.48 25165.02 24666.34 30652.86 19963.81 28262.25 29246.57 27671.51 24080.40 23244.60 27166.82 30051.38 23075.47 30475.38 261
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
HyFIR lowres test63.01 24860.47 26770.61 17583.04 10854.10 19159.93 31272.24 22733.67 34869.00 26375.63 28238.69 30676.93 20636.60 32575.45 30580.81 203
GA-MVS62.91 24961.66 25466.66 23567.09 30144.49 26361.18 30469.36 25651.33 23269.33 26174.47 29436.83 31674.94 22950.60 23674.72 31080.57 210
PVSNet_Blended62.90 25061.64 25566.69 23469.81 27849.36 21961.23 30378.96 15542.04 30459.98 31968.86 34451.82 23278.20 18844.30 27877.77 29472.52 283
USDC62.80 25163.10 24661.89 27665.19 31543.30 27467.42 23574.20 21135.80 33772.25 22884.48 18345.67 26371.95 26237.95 31684.97 21170.42 304
Vis-MVSNet (Re-imp)62.74 25263.21 24561.34 28272.19 25831.56 35167.31 24053.87 32953.60 20969.88 25783.37 19840.52 29770.98 26941.40 29486.78 19281.48 188
patch_mono-262.73 25364.08 23558.68 30070.36 27555.87 18060.84 30664.11 28441.23 30964.04 29578.22 26360.00 17548.80 34254.17 21483.71 23271.37 294
D2MVS62.58 25461.05 26267.20 22763.85 32447.92 23356.29 32669.58 25439.32 31870.07 25578.19 26434.93 32172.68 24953.44 22183.74 23081.00 195
MVS_030462.51 25562.27 25263.25 26269.39 28248.47 22564.05 28162.48 29159.69 13654.10 34481.04 22545.71 26266.31 30441.38 29582.58 24274.96 264
CL-MVSNet_self_test62.44 25663.40 24259.55 29572.34 25732.38 34756.39 32564.84 27851.21 23467.46 27781.01 22650.75 23963.51 31638.47 31288.12 16482.75 165
MDA-MVSNet-bldmvs62.34 25761.73 25364.16 25061.64 33549.90 21548.11 34757.24 31653.31 21180.95 10679.39 24649.00 25061.55 32245.92 27280.05 27181.03 193
miper_lstm_enhance61.97 25861.63 25662.98 26660.04 34445.74 25647.53 34970.95 24544.04 29073.06 21778.84 25739.72 30160.33 32455.82 19684.64 21782.88 159
wuyk23d61.97 25866.25 21649.12 32958.19 35560.77 14866.32 25352.97 33655.93 17490.62 586.91 13073.07 6235.98 36920.63 37191.63 9550.62 360
thres600view761.82 26061.38 25963.12 26471.81 26134.93 33564.64 27356.99 31754.78 18670.33 25379.74 24132.07 33572.42 25638.61 31083.46 23482.02 180
PAPM61.79 26160.37 26866.05 23976.09 20341.87 28469.30 20676.79 18940.64 31553.80 34579.62 24444.38 27282.92 9929.64 35473.11 31973.36 276
MVP-Stereo61.56 26259.22 27468.58 21179.28 15360.44 15069.20 20871.57 23143.58 29656.42 33378.37 26139.57 30376.46 21434.86 33560.16 35768.86 318
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
CMPMVSbinary48.73 2061.54 26360.89 26363.52 25961.08 33951.55 20468.07 22868.00 26433.88 34565.87 28481.25 22337.91 31167.71 28949.32 24582.60 24171.31 296
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test250661.23 26460.85 26462.38 27378.80 16527.88 36467.33 23937.42 37254.23 19667.55 27688.68 10417.87 37674.39 23746.33 27089.41 14984.86 96
thres100view90061.17 26561.09 26161.39 28172.14 25935.01 33465.42 26656.99 31755.23 17970.71 24979.90 23932.07 33572.09 25835.61 33281.73 25077.08 250
Patchmtry60.91 26663.01 24754.62 31266.10 31026.27 36867.47 23456.40 32154.05 20272.04 23186.66 14233.19 32660.17 32543.69 28287.45 17677.42 246
EU-MVSNet60.82 26760.80 26560.86 28768.37 28741.16 28772.27 16368.27 26326.96 36669.08 26275.71 28132.09 33467.44 29255.59 19978.90 28273.97 270
pmmvs460.78 26859.04 27666.00 24073.06 25257.67 17164.53 27660.22 30236.91 33265.96 28377.27 27339.66 30268.54 28538.87 30774.89 30971.80 291
thres40060.77 26959.97 27063.15 26370.78 26735.35 33263.27 29057.47 31153.00 21368.31 27077.09 27432.45 33272.09 25835.61 33281.73 25082.02 180
MVS60.62 27059.97 27062.58 27168.13 29147.28 24268.59 21973.96 21232.19 35259.94 32168.86 34450.48 24077.64 19941.85 29275.74 30062.83 344
thisisatest051560.48 27157.86 28568.34 21367.25 29946.42 24960.58 30862.14 29340.82 31363.58 30169.12 33926.28 35978.34 18448.83 24882.13 24580.26 214
tfpn200view960.35 27259.97 27061.51 27970.78 26735.35 33263.27 29057.47 31153.00 21368.31 27077.09 27432.45 33272.09 25835.61 33281.73 25077.08 250
ppachtmachnet_test60.26 27359.61 27362.20 27467.70 29644.33 26458.18 32060.96 30140.75 31465.80 28572.57 31241.23 28963.92 31346.87 26682.42 24378.33 234
Patchmatch-RL test59.95 27459.12 27562.44 27272.46 25654.61 18959.63 31347.51 35241.05 31274.58 19774.30 29731.06 34365.31 30651.61 22779.85 27367.39 322
131459.83 27558.86 27862.74 27065.71 31244.78 26168.59 21972.63 22233.54 35061.05 31467.29 35243.62 27771.26 26749.49 24467.84 34472.19 288
IB-MVS49.67 1859.69 27656.96 29167.90 21868.19 29050.30 21261.42 30165.18 27647.57 27055.83 33667.15 35323.77 36879.60 15943.56 28479.97 27273.79 273
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
1112_ss59.48 27758.99 27760.96 28677.84 17842.39 28261.42 30168.45 26237.96 32759.93 32267.46 34945.11 26865.07 30840.89 29871.81 32475.41 260
FPMVS59.43 27860.07 26957.51 30577.62 18471.52 5462.33 29650.92 34157.40 15869.40 26080.00 23839.14 30461.92 32137.47 32066.36 34639.09 369
CVMVSNet59.21 27958.44 28261.51 27973.94 23747.76 23671.31 18364.56 28126.91 36760.34 31870.44 32836.24 31867.65 29053.57 21968.66 34169.12 316
CR-MVSNet58.96 28058.49 28160.36 29066.37 30448.24 22870.93 18956.40 32132.87 35161.35 31086.66 14233.19 32663.22 31748.50 25370.17 33369.62 311
EPNet_dtu58.93 28158.52 28060.16 29267.91 29447.70 23769.97 19858.02 30849.73 24947.28 36073.02 31038.14 30862.34 31936.57 32685.99 19970.43 303
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Test_1112_low_res58.78 28258.69 27959.04 29879.41 15138.13 31357.62 32266.98 26734.74 34159.62 32377.56 27142.92 28163.65 31538.66 30970.73 33075.35 262
PatchMatch-RL58.68 28357.72 28661.57 27876.21 20173.59 4461.83 29849.00 34847.30 27261.08 31268.97 34150.16 24259.01 32836.06 33168.84 34052.10 359
SCA58.57 28458.04 28460.17 29170.17 27641.07 28965.19 26853.38 33443.34 30061.00 31573.48 30545.20 26669.38 28040.34 30170.31 33270.05 306
CHOSEN 1792x268858.09 28556.30 29663.45 26079.95 14550.93 20754.07 33465.59 27328.56 36361.53 30974.33 29641.09 29266.52 30333.91 33967.69 34572.92 279
HY-MVS49.31 1957.96 28657.59 28759.10 29766.85 30336.17 32565.13 26965.39 27539.24 32054.69 34178.14 26544.28 27367.18 29633.75 34070.79 32973.95 271
baseline157.82 28758.36 28356.19 30869.17 28430.76 35662.94 29455.21 32446.04 27863.83 29878.47 25941.20 29063.68 31439.44 30368.99 33974.13 269
thres20057.55 28857.02 29059.17 29667.89 29534.93 33558.91 31857.25 31550.24 24364.01 29671.46 32432.49 33171.39 26631.31 34679.57 27871.19 299
CostFormer57.35 28956.14 29760.97 28563.76 32638.43 30867.50 23360.22 30237.14 33159.12 32476.34 27932.78 32971.99 26139.12 30669.27 33872.47 284
our_test_356.46 29056.51 29456.30 30767.70 29639.66 30155.36 33152.34 33940.57 31663.85 29769.91 33540.04 29958.22 33043.49 28575.29 30871.03 301
tpm256.12 29154.64 30460.55 28966.24 30736.01 32668.14 22656.77 31933.60 34958.25 32775.52 28530.25 34974.33 23833.27 34169.76 33771.32 295
tpmvs55.84 29255.45 30257.01 30660.33 34333.20 34565.89 25759.29 30647.52 27156.04 33473.60 30431.05 34468.06 28840.64 29964.64 34969.77 309
gg-mvs-nofinetune55.75 29356.75 29352.72 31862.87 32928.04 36368.92 21141.36 36771.09 4450.80 35292.63 1220.74 37166.86 29829.97 35272.41 32163.25 343
test20.0355.74 29457.51 28850.42 32259.89 34732.09 34950.63 34149.01 34750.11 24565.07 28983.23 20445.61 26448.11 34530.22 35083.82 22971.07 300
MS-PatchMatch55.59 29554.89 30357.68 30469.18 28349.05 22161.00 30562.93 29035.98 33558.36 32668.93 34236.71 31766.59 30237.62 31963.30 35357.39 355
baseline255.57 29652.74 31064.05 25365.26 31444.11 26562.38 29554.43 32739.03 32151.21 35067.35 35133.66 32472.45 25537.14 32264.22 35175.60 257
XXY-MVS55.19 29757.40 28948.56 33164.45 32234.84 33751.54 34053.59 33138.99 32263.79 29979.43 24556.59 21145.57 34936.92 32471.29 32665.25 335
FMVSNet555.08 29855.54 30153.71 31365.80 31133.50 34456.22 32752.50 33843.72 29561.06 31383.38 19725.46 36354.87 33430.11 35181.64 25572.75 281
PatchmatchNetpermissive54.60 29954.27 30555.59 31065.17 31739.08 30366.92 24651.80 34039.89 31758.39 32573.12 30931.69 33758.33 32943.01 28658.38 36369.38 314
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MIMVSNet54.39 30056.12 29849.20 32772.57 25530.91 35559.98 31148.43 35041.66 30655.94 33583.86 19141.19 29150.42 33926.05 36175.38 30666.27 330
Anonymous2023120654.13 30155.82 29949.04 33070.89 26635.96 32751.73 33950.87 34234.86 33962.49 30579.22 25042.52 28544.29 35727.95 35981.88 24866.88 326
JIA-IIPM54.03 30251.62 31461.25 28359.14 35055.21 18559.10 31547.72 35150.85 23750.31 35685.81 17020.10 37363.97 31236.16 33055.41 36864.55 341
tpm cat154.02 30352.63 31158.19 30364.85 32139.86 30066.26 25457.28 31432.16 35356.90 33070.39 33032.75 33065.30 30734.29 33758.79 36069.41 313
testgi54.00 30456.86 29245.45 33958.20 35425.81 36949.05 34349.50 34645.43 28267.84 27281.17 22451.81 23443.20 36129.30 35579.41 27967.34 324
PatchT53.35 30556.47 29543.99 34564.19 32317.46 37659.15 31443.10 35852.11 22254.74 34086.95 12929.97 35249.98 34143.62 28374.40 31364.53 342
DWT-MVSNet_test53.04 30651.12 31958.77 29961.23 33738.67 30762.16 29757.74 30938.24 32451.76 34959.07 36321.36 37067.40 29344.80 27763.76 35270.25 305
new-patchmatchnet52.89 30755.76 30044.26 34459.94 3466.31 37937.36 36650.76 34341.10 31064.28 29379.82 24044.77 26948.43 34436.24 32987.61 17178.03 242
YYNet152.58 30853.50 30749.85 32354.15 37036.45 32440.53 36046.55 35438.09 32675.52 18373.31 30841.08 29343.88 35841.10 29671.14 32869.21 315
MDA-MVSNet_test_wron52.57 30953.49 30849.81 32454.24 36936.47 32340.48 36146.58 35338.13 32575.47 18473.32 30741.05 29443.85 35940.98 29771.20 32769.10 317
pmmvs552.49 31052.58 31252.21 32054.99 36732.38 34755.45 33053.84 33032.15 35455.49 33874.81 28838.08 30957.37 33234.02 33874.40 31366.88 326
UnsupCasMVSNet_eth52.26 31153.29 30949.16 32855.08 36633.67 34350.03 34258.79 30737.67 32863.43 30474.75 29041.82 28745.83 34838.59 31159.42 35967.98 321
N_pmnet52.06 31251.11 32054.92 31159.64 34971.03 5937.42 36561.62 30033.68 34757.12 32872.10 31337.94 31031.03 37129.13 35871.35 32562.70 345
KD-MVS_2432*160052.05 31351.58 31553.44 31452.11 37231.20 35244.88 35664.83 27941.53 30764.37 29170.03 33315.61 38064.20 31036.25 32774.61 31164.93 338
miper_refine_blended52.05 31351.58 31553.44 31452.11 37231.20 35244.88 35664.83 27941.53 30764.37 29170.03 33315.61 38064.20 31036.25 32774.61 31164.93 338
PVSNet43.83 2151.56 31551.17 31852.73 31768.34 28838.27 31048.22 34653.56 33236.41 33354.29 34264.94 35634.60 32254.20 33730.34 34969.87 33565.71 333
tpm50.60 31652.42 31345.14 34165.18 31626.29 36760.30 30943.50 35737.41 32957.01 32979.09 25430.20 35142.32 36232.77 34366.36 34666.81 328
test-LLR50.43 31750.69 32249.64 32560.76 34041.87 28453.18 33645.48 35543.41 29849.41 35760.47 36129.22 35444.73 35542.09 29072.14 32262.33 348
tpmrst50.15 31851.38 31746.45 33656.05 36124.77 37064.40 27849.98 34436.14 33453.32 34669.59 33735.16 32048.69 34339.24 30558.51 36265.89 331
UnsupCasMVSNet_bld50.01 31951.03 32146.95 33258.61 35232.64 34648.31 34553.27 33534.27 34460.47 31771.53 32341.40 28847.07 34630.68 34860.78 35661.13 350
WTY-MVS49.39 32050.31 32346.62 33561.22 33832.00 35046.61 35249.77 34533.87 34654.12 34369.55 33841.96 28645.40 35131.28 34764.42 35062.47 347
ADS-MVSNet248.76 32147.25 32953.29 31655.90 36340.54 29647.34 35054.99 32631.41 35950.48 35372.06 31831.23 34054.26 33625.93 36255.93 36565.07 336
test-mter48.56 32248.20 32749.64 32560.76 34041.87 28453.18 33645.48 35531.91 35749.41 35760.47 36118.34 37444.73 35542.09 29072.14 32262.33 348
Patchmatch-test47.93 32349.96 32441.84 34857.42 35724.26 37148.75 34441.49 36639.30 31956.79 33173.48 30530.48 34833.87 37029.29 35672.61 32067.39 322
test0.0.03 147.72 32448.31 32645.93 33755.53 36529.39 35946.40 35341.21 36843.41 29855.81 33767.65 34829.22 35443.77 36025.73 36469.87 33564.62 340
sss47.59 32548.32 32545.40 34056.73 36033.96 34145.17 35548.51 34932.11 35652.37 34865.79 35440.39 29841.91 36531.85 34461.97 35460.35 351
pmmvs346.71 32645.09 33351.55 32156.76 35948.25 22755.78 32939.53 37124.13 37050.35 35563.40 35715.90 37951.08 33829.29 35670.69 33155.33 358
EPMVS45.74 32746.53 33043.39 34654.14 37122.33 37355.02 33235.00 37534.69 34251.09 35170.20 33225.92 36142.04 36437.19 32155.50 36765.78 332
MVS-HIRNet45.53 32847.29 32840.24 35162.29 33126.82 36656.02 32837.41 37329.74 36243.69 36981.27 22233.96 32355.48 33324.46 36756.79 36438.43 370
TESTMET0.1,145.17 32944.93 33445.89 33856.02 36238.31 30953.18 33641.94 36527.85 36444.86 36556.47 36417.93 37541.50 36638.08 31568.06 34257.85 354
E-PMN45.17 32945.36 33244.60 34350.07 37442.75 27838.66 36342.29 36346.39 27739.55 37051.15 36826.00 36045.37 35237.68 31776.41 29645.69 366
PMMVS44.69 33143.95 33846.92 33350.05 37553.47 19748.08 34842.40 36122.36 37144.01 36853.05 36642.60 28445.49 35031.69 34561.36 35541.79 367
ADS-MVSNet44.62 33245.58 33141.73 34955.90 36320.83 37447.34 35039.94 37031.41 35950.48 35372.06 31831.23 34039.31 36725.93 36255.93 36565.07 336
EMVS44.61 33344.45 33745.10 34248.91 37643.00 27637.92 36441.10 36946.75 27538.00 37248.43 37026.42 35846.27 34737.11 32375.38 30646.03 365
dp44.09 33444.88 33541.72 35058.53 35323.18 37254.70 33342.38 36234.80 34044.25 36765.61 35524.48 36644.80 35429.77 35349.42 37057.18 356
DSMNet-mixed43.18 33544.66 33638.75 35354.75 36828.88 36257.06 32427.42 37813.47 37247.27 36177.67 27038.83 30539.29 36825.32 36660.12 35848.08 362
CHOSEN 280x42041.62 33639.89 34146.80 33461.81 33351.59 20333.56 36735.74 37427.48 36537.64 37353.53 36523.24 36942.09 36327.39 36058.64 36146.72 364
PVSNet_036.71 2241.12 33740.78 34042.14 34759.97 34540.13 29840.97 35942.24 36430.81 36144.86 36549.41 36940.70 29545.12 35323.15 36834.96 37241.16 368
PMMVS237.74 33840.87 33928.36 35542.41 3785.35 38024.61 36827.75 37732.15 35447.85 35970.27 33135.85 31929.51 37219.08 37267.85 34350.22 361
new_pmnet37.55 33939.80 34230.79 35456.83 35816.46 37739.35 36230.65 37625.59 36845.26 36361.60 36024.54 36528.02 37321.60 36952.80 36947.90 363
MVEpermissive27.91 2336.69 34035.64 34339.84 35243.37 37735.85 32919.49 36924.61 37924.68 36939.05 37162.63 35938.67 30727.10 37421.04 37047.25 37156.56 357
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method19.26 34119.12 34519.71 3569.09 3801.91 3827.79 37153.44 3331.42 37410.27 37635.80 37117.42 37725.11 37512.44 37324.38 37432.10 371
cdsmvs_eth3d_5k17.71 34223.62 3440.00 3610.00 3840.00 3850.00 37270.17 2520.00 3790.00 38074.25 29968.16 1020.00 3800.00 3780.00 3780.00 376
tmp_tt11.98 34314.73 3463.72 3582.28 3814.62 38119.44 37014.50 3810.47 37621.55 3749.58 37425.78 3624.57 37711.61 37427.37 3731.96 373
ab-mvs-re5.62 3447.50 3470.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38067.46 3490.00 3840.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas5.20 3456.93 3480.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37962.39 1520.00 3800.00 3780.00 3780.00 376
test1234.43 3465.78 3490.39 3600.97 3820.28 38346.33 3540.45 3830.31 3770.62 3781.50 3770.61 3830.11 3790.56 3760.63 3760.77 375
testmvs4.06 3475.28 3500.41 3590.64 3830.16 38442.54 3580.31 3840.26 3780.50 3791.40 3780.77 3820.17 3780.56 3760.55 3770.90 374
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
FOURS189.19 2577.84 1691.64 189.11 284.05 291.57 2
MSC_two_6792asdad79.02 5983.14 10367.03 9380.75 12586.24 2377.27 3594.85 2683.78 132
PC_three_145246.98 27481.83 9486.28 15466.55 11984.47 7163.31 14090.78 12083.49 139
No_MVS79.02 5983.14 10367.03 9380.75 12586.24 2377.27 3594.85 2683.78 132
test_one_060185.84 6761.45 13785.63 3375.27 1985.62 4790.38 6476.72 29
eth-test20.00 384
eth-test0.00 384
ZD-MVS83.91 9469.36 7681.09 12058.91 14482.73 8789.11 9575.77 3786.63 1372.73 6292.93 75
RE-MVS-def85.50 486.19 5579.18 987.23 986.27 2377.51 1187.65 1990.73 4681.38 778.11 2594.46 3884.89 94
IU-MVS86.12 5960.90 14480.38 13545.49 28181.31 10275.64 4494.39 4384.65 103
OPU-MVS78.65 6683.44 10166.85 9583.62 4586.12 16266.82 11486.01 3161.72 14889.79 14283.08 154
test_241102_TWO84.80 5172.61 3284.93 5689.70 8177.73 2385.89 3975.29 4594.22 5583.25 149
test_241102_ONE86.12 5961.06 14084.72 5572.64 3187.38 2589.47 8477.48 2485.74 43
9.1480.22 5980.68 13880.35 7487.69 1159.90 13383.00 8088.20 11474.57 5181.75 11973.75 5693.78 61
save fliter87.00 4367.23 9179.24 8777.94 17556.65 167
test_0728_THIRD74.03 2385.83 4290.41 5975.58 3985.69 4477.43 3394.74 3184.31 121
test_0728_SECOND76.57 9386.20 5460.57 14983.77 4385.49 3585.90 3775.86 4294.39 4383.25 149
test072686.16 5760.78 14683.81 4285.10 4672.48 3485.27 5389.96 7778.57 18
GSMVS70.05 306
test_part285.90 6366.44 9884.61 63
sam_mvs131.41 33870.05 306
sam_mvs31.21 342
ambc70.10 18777.74 18050.21 21374.28 15277.93 17679.26 12688.29 11354.11 22379.77 15764.43 12491.10 10980.30 213
MTGPAbinary80.63 128
test_post166.63 2502.08 37530.66 34759.33 32740.34 301
test_post1.99 37630.91 34554.76 335
patchmatchnet-post68.99 34031.32 33969.38 280
GG-mvs-BLEND52.24 31960.64 34229.21 36169.73 20242.41 36045.47 36252.33 36720.43 37268.16 28725.52 36565.42 34859.36 353
MTMP84.83 3319.26 380
gm-plane-assit62.51 33033.91 34237.25 33062.71 35872.74 24838.70 308
test9_res72.12 7091.37 10177.40 247
TEST985.47 6969.32 7776.42 12178.69 16153.73 20876.97 15586.74 13866.84 11381.10 128
test_885.09 7567.89 8676.26 12678.66 16354.00 20376.89 16086.72 14066.60 11780.89 139
agg_prior270.70 7790.93 11478.55 233
agg_prior84.44 8766.02 10278.62 16476.95 15780.34 146
TestCases78.35 7179.19 15770.81 6188.64 365.37 8380.09 11888.17 11570.33 8178.43 18055.60 19790.90 11685.81 77
test_prior470.14 6977.57 107
test_prior275.57 13258.92 14276.53 17186.78 13567.83 10669.81 8292.76 80
test_prior75.27 11182.15 12259.85 15584.33 6683.39 8982.58 169
旧先验271.17 18645.11 28578.54 13461.28 32359.19 171
新几何271.33 182
新几何169.99 18988.37 3671.34 5762.08 29543.85 29174.99 18886.11 16352.85 22870.57 27250.99 23383.23 23768.05 320
旧先验184.55 8460.36 15163.69 28687.05 12854.65 22083.34 23569.66 310
无先验74.82 14070.94 24647.75 26976.85 20954.47 20872.09 289
原ACMM274.78 144
原ACMM173.90 12785.90 6365.15 11081.67 10650.97 23674.25 20186.16 16061.60 16083.54 8556.75 18491.08 11073.00 278
test22287.30 4169.15 8067.85 22959.59 30541.06 31173.05 21885.72 17148.03 25780.65 26566.92 325
testdata267.30 29448.34 254
segment_acmp68.30 101
testdata64.13 25185.87 6563.34 12561.80 29947.83 26776.42 17586.60 14748.83 25162.31 32054.46 21081.26 25766.74 329
testdata168.34 22557.24 159
test1276.51 9482.28 12060.94 14381.64 10773.60 20964.88 13585.19 5990.42 12783.38 145
plane_prior785.18 7266.21 100
plane_prior684.18 9165.31 10760.83 170
plane_prior585.49 3586.15 2871.09 7490.94 11284.82 98
plane_prior489.11 95
plane_prior365.67 10463.82 10178.23 137
plane_prior282.74 5465.45 80
plane_prior184.46 86
plane_prior65.18 10880.06 8161.88 11989.91 139
n20.00 385
nn0.00 385
door-mid55.02 325
lessismore_v072.75 15279.60 14956.83 17657.37 31383.80 7489.01 9847.45 25978.74 17164.39 12586.49 19582.69 167
LGP-MVS_train80.90 3887.00 4370.41 6686.35 2069.77 5387.75 1691.13 3581.83 386.20 2577.13 3795.96 586.08 71
test1182.71 94
door52.91 337
HQP5-MVS58.80 165
HQP-NCC82.37 11777.32 11159.08 13871.58 235
ACMP_Plane82.37 11777.32 11159.08 13871.58 235
BP-MVS67.38 106
HQP4-MVS71.59 23485.31 5283.74 134
HQP3-MVS84.12 7489.16 152
HQP2-MVS58.09 195
NP-MVS83.34 10263.07 12885.97 166
MDTV_nov1_ep13_2view18.41 37553.74 33531.57 35844.89 36429.90 35332.93 34271.48 293
MDTV_nov1_ep1354.05 30665.54 31329.30 36059.00 31655.22 32335.96 33652.44 34775.98 28030.77 34659.62 32638.21 31373.33 318
ACMMP++_ref89.47 148
ACMMP++91.96 90
Test By Simon62.56 148
ITE_SJBPF80.35 4476.94 19173.60 4380.48 13266.87 6783.64 7686.18 15870.25 8379.90 15661.12 15588.95 15887.56 52
DeepMVS_CXcopyleft11.83 35715.51 37913.86 37811.25 3825.76 37320.85 37526.46 37217.06 3789.22 3769.69 37513.82 37512.42 372