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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
Effi-MVS+-dtu75.43 9572.28 14584.91 277.05 18583.58 178.47 9677.70 17657.68 15174.89 18878.13 26364.80 13584.26 7756.46 18885.32 20686.88 61
PMVScopyleft70.70 681.70 3683.15 3477.36 8390.35 682.82 282.15 5879.22 15174.08 2287.16 3091.97 1984.80 276.97 20564.98 11993.61 6572.28 286
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
mvs-test173.81 11570.69 16783.18 577.05 18581.39 375.39 13377.70 17657.68 15171.19 24274.72 28964.80 13583.66 8456.46 18881.19 25684.50 114
mPP-MVS84.01 1284.39 1382.88 890.65 481.38 487.08 1382.79 9272.41 3685.11 5590.85 4276.65 3084.89 6479.30 1794.63 3482.35 174
TDRefinement86.32 286.33 286.29 188.64 3381.19 588.84 490.72 178.27 987.95 1592.53 1379.37 1384.79 6774.51 5196.15 292.88 7
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 5683.55 135
CP-MVS84.12 1084.55 1282.80 1289.42 1879.74 788.19 584.43 6571.96 4284.70 6290.56 5177.12 2686.18 2779.24 1895.36 1382.49 171
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 7678.12 2494.47 3784.15 123
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 92
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 92
MP-MVScopyleft83.19 2083.54 2682.14 2290.54 579.00 1186.42 2383.59 8371.31 4381.26 10290.96 3974.57 5184.69 6878.41 2294.78 2882.74 165
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
CPTT-MVS81.51 3881.76 4780.76 4089.20 2478.75 1286.48 2282.03 10168.80 5680.92 10788.52 10672.00 6882.39 10874.80 4793.04 7381.14 190
HPM-MVS++copyleft79.89 5779.80 6380.18 4589.02 2778.44 1383.49 4980.18 13964.71 9378.11 13988.39 10965.46 12883.14 9677.64 3291.20 10578.94 226
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 7380.98 494.75 2980.82 199
MTAPA83.19 2083.87 2081.13 3591.16 278.16 1484.87 3280.63 12872.08 3984.93 5690.79 4374.65 4984.42 7380.98 494.75 2980.82 199
FOURS189.19 2577.84 1691.64 189.11 284.05 291.57 2
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 6783.09 151
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 5784.64 102
X-MVStestdata76.81 8474.79 10382.85 1089.43 1677.61 1886.80 1884.66 5872.71 2982.87 829.95 37173.86 5686.31 2078.84 2094.03 5784.64 102
region2R83.54 1683.86 2182.58 1689.82 1077.53 2087.06 1484.23 7370.19 5183.86 7390.72 4875.20 4286.27 2279.41 1594.25 5283.95 126
RPSCF75.76 9174.37 10979.93 4674.81 21777.53 2077.53 10879.30 15059.44 13678.88 12889.80 8071.26 7673.09 24657.45 17980.89 26089.17 30
ACMMPR83.62 1483.93 1982.69 1389.78 1177.51 2287.01 1584.19 7470.23 4984.49 6490.67 4975.15 4386.37 1979.58 1194.26 5184.18 122
MSP-MVS80.49 5079.67 6582.96 789.70 1277.46 2387.16 1285.10 4664.94 9081.05 10488.38 11057.10 20587.10 879.75 883.87 22884.31 119
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
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 3283.82 127
DeepPCF-MVS71.07 578.48 7277.14 8782.52 1984.39 8977.04 2576.35 12284.05 7756.66 16580.27 11585.31 17568.56 9687.03 1067.39 10391.26 10383.50 136
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 1784.62 104
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
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
HFP-MVS83.39 1984.03 1881.48 2789.25 2175.69 2887.01 1584.27 6970.23 4984.47 6590.43 5676.79 2785.94 3379.58 1194.23 5382.82 161
#test#82.40 3082.71 4181.48 2789.25 2175.69 2884.47 3684.27 6964.45 9484.47 6590.43 5676.79 2785.94 3376.01 3994.23 5382.82 161
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
CNLPA73.44 12173.03 13674.66 11378.27 17075.29 3175.99 12878.49 16565.39 8275.67 17983.22 20461.23 16466.77 30053.70 21685.33 20581.92 182
PM-MVS64.49 23263.61 23867.14 22976.68 19475.15 3268.49 22242.85 35751.17 23577.85 14280.51 22845.76 25966.31 30352.83 22176.35 29559.96 350
XVG-OURS79.51 5979.82 6278.58 6786.11 6274.96 3376.33 12484.95 5066.89 6682.75 8588.99 9966.82 11378.37 18374.80 4790.76 12382.40 173
XVG-OURS-SEG-HR79.62 5879.99 6178.49 6886.46 5274.79 3477.15 11485.39 4066.73 7080.39 11488.85 10274.43 5478.33 18574.73 4985.79 19882.35 174
EGC-MVSNET64.77 22861.17 25875.60 10586.90 4774.47 3584.04 3868.62 2600.60 3731.13 37591.61 2765.32 13174.15 24164.01 12688.28 16178.17 238
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 62
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
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 10895.46 1187.89 47
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
anonymousdsp78.60 6877.80 8081.00 3778.01 17574.34 3880.09 7876.12 19150.51 24189.19 1090.88 4071.45 7477.78 19773.38 5890.60 12590.90 16
ACMM69.25 982.11 3383.31 3078.49 6888.17 4073.96 3983.11 5284.52 6466.40 7487.45 2389.16 9481.02 980.52 14474.27 5395.73 780.98 195
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
mvs_tets78.93 6578.67 7379.72 4984.81 7973.93 4080.65 6776.50 18951.98 22487.40 2491.86 2176.09 3578.53 17568.58 8890.20 12986.69 64
MVS_111021_LR72.10 14971.82 15172.95 14579.53 15073.90 4170.45 19366.64 26756.87 16176.81 16381.76 21668.78 9371.76 26461.81 14583.74 23073.18 276
jajsoiax78.51 7078.16 7879.59 5284.65 8273.83 4280.42 7076.12 19151.33 23287.19 2991.51 2973.79 5878.44 17968.27 9190.13 13486.49 66
ITE_SJBPF80.35 4476.94 18973.60 4380.48 13266.87 6783.64 7686.18 15870.25 8379.90 15661.12 15388.95 15887.56 52
PatchMatch-RL58.68 28157.72 28461.57 27776.21 19973.59 4461.83 29749.00 34647.30 27161.08 31068.97 33950.16 24059.01 32736.06 32968.84 33852.10 357
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 7177.73 3094.34 4985.93 73
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 6084.30 121
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 4284.60 107
XVG-ACMP-BASELINE80.54 4981.06 5378.98 6187.01 4272.91 4880.23 7785.56 3466.56 7385.64 4489.57 8369.12 9180.55 14372.51 6593.37 6983.48 139
h-mvs3373.08 12971.61 15577.48 8083.89 9672.89 4970.47 19271.12 24354.28 19377.89 14083.41 19449.04 24680.98 13363.62 13390.77 12278.58 230
3Dnovator+73.19 281.08 4480.48 5782.87 981.41 13372.03 5084.38 3786.23 2677.28 1680.65 11090.18 7459.80 17787.58 473.06 6091.34 10289.01 33
F-COLMAP75.29 9773.99 11479.18 5681.73 12971.90 5181.86 6282.98 8959.86 13472.27 22484.00 18964.56 13883.07 9951.48 22687.19 18482.56 170
hse-mvs272.32 14770.66 16877.31 8583.10 10771.77 5269.19 20871.45 23454.28 19377.89 14078.26 26049.04 24679.23 16263.62 13389.13 15680.92 196
AUN-MVS70.22 16467.88 20177.22 8682.96 11171.61 5369.08 20971.39 23549.17 25471.70 23078.07 26437.62 31179.21 16361.81 14589.15 15480.82 199
FPMVS59.43 27660.07 26757.51 30377.62 18471.52 5462.33 29550.92 33957.40 15769.40 25780.00 23639.14 30261.92 32037.47 31866.36 34439.09 367
112169.23 18068.26 19372.12 16388.36 3771.40 5568.59 21862.06 29443.80 29174.75 19086.18 15852.92 22576.85 20954.47 20783.27 23468.12 317
LS3D80.99 4680.85 5581.41 3078.37 16971.37 5687.45 885.87 3277.48 1381.98 9189.95 7869.14 9085.26 5466.15 10991.24 10487.61 51
新几何169.99 18888.37 3671.34 5762.08 29343.85 29074.99 18786.11 16352.85 22670.57 27250.99 23183.23 23568.05 318
test_djsdf78.88 6678.27 7680.70 4181.42 13271.24 5883.98 3975.72 19552.27 21987.37 2792.25 1668.04 10380.56 14172.28 6891.15 10790.32 20
N_pmnet52.06 31051.11 31854.92 30959.64 34771.03 5937.42 36361.62 29833.68 34557.12 32672.10 31137.94 30831.03 36929.13 35671.35 32362.70 343
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 82
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AllTest77.66 7777.43 8278.35 7179.19 15770.81 6178.60 9488.64 365.37 8380.09 11788.17 11570.33 8178.43 18055.60 19690.90 11685.81 75
TestCases78.35 7179.19 15770.81 6188.64 365.37 8380.09 11788.17 11570.33 8178.43 18055.60 19690.90 11685.81 75
TSAR-MVS + GP.73.08 12971.60 15677.54 7978.99 16470.73 6374.96 13769.38 25460.73 12874.39 19978.44 25857.72 20082.78 10260.16 16189.60 14479.11 225
OMC-MVS79.41 6178.79 7081.28 3480.62 14070.71 6480.91 6684.76 5362.54 11481.77 9486.65 14471.46 7383.53 8867.95 9892.44 8489.60 23
APD-MVScopyleft81.13 4381.73 4879.36 5584.47 8570.53 6583.85 4183.70 8169.43 5583.67 7588.96 10075.89 3686.41 1772.62 6492.95 7481.14 190
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
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 69
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 69
RRT_MVS73.80 11671.19 16281.60 2471.04 26370.33 6878.78 9274.91 20556.96 16077.83 14385.56 17232.82 32687.39 571.16 7391.68 9387.07 60
test_prior470.14 6977.57 106
DeepC-MVS72.44 481.00 4580.83 5681.50 2686.70 5070.03 7082.06 5987.00 1759.89 13380.91 10890.53 5272.19 6588.56 173.67 5794.52 3685.92 74
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
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 7682.44 172
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 4784.61 105
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
NCCC78.25 7578.04 7978.89 6385.61 6869.45 7379.80 8280.99 12365.77 7775.55 18186.25 15767.42 10785.42 5070.10 7990.88 11881.81 183
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 75
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
OPM-MVS80.99 4681.63 5179.07 5886.86 4869.39 7579.41 8584.00 7965.64 7885.54 4889.28 8776.32 3383.47 8974.03 5493.57 6884.35 118
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ZD-MVS83.91 9469.36 7681.09 12058.91 14382.73 8689.11 9575.77 3786.63 1372.73 6292.93 75
TEST985.47 6969.32 7776.42 12078.69 16053.73 20776.97 15486.74 13866.84 11281.10 128
train_agg76.38 8776.55 8975.86 10285.47 6969.32 7776.42 12078.69 16054.00 20276.97 15486.74 13866.60 11681.10 12872.50 6691.56 9777.15 247
UA-Net81.56 3782.28 4479.40 5488.91 3069.16 7984.67 3580.01 14275.34 1779.80 11994.91 269.79 8780.25 14972.63 6394.46 3888.78 41
test22287.30 4169.15 8067.85 22859.59 30341.06 30973.05 21585.72 17148.03 25580.65 26366.92 323
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 4783.35 145
PLCcopyleft62.01 1671.79 15270.28 17076.33 9580.31 14368.63 8278.18 10381.24 11554.57 18967.09 27980.63 22759.44 17881.74 12046.91 26384.17 22378.63 228
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
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 6983.30 194.96 2386.17 68
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
TAPA-MVS65.27 1275.16 9974.29 11177.77 7774.86 21668.08 8477.89 10584.04 7855.15 17976.19 17783.39 19566.91 11180.11 15460.04 16490.14 13385.13 86
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DeepC-MVS_fast69.89 777.17 8176.33 9279.70 5083.90 9567.94 8580.06 8083.75 8056.73 16474.88 18985.32 17465.54 12687.79 265.61 11591.14 10883.35 145
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_885.09 7567.89 8676.26 12578.66 16254.00 20276.89 15986.72 14066.60 11680.89 139
SD-MVS80.28 5581.55 5276.47 9483.57 9767.83 8783.39 5185.35 4164.42 9586.14 3887.07 12774.02 5580.97 13477.70 3192.32 8780.62 206
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
TSAR-MVS + MP.79.05 6478.81 6979.74 4888.94 2967.52 8886.61 2081.38 11251.71 22677.15 15191.42 3365.49 12787.20 679.44 1487.17 18584.51 113
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
CNVR-MVS78.49 7178.59 7478.16 7385.86 6667.40 8978.12 10481.50 10863.92 9977.51 14886.56 14868.43 9984.82 6673.83 5591.61 9682.26 177
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 5982.62 167
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
xxxxxxxxxxxxxcwj80.31 5480.94 5478.42 7087.00 4367.23 9179.24 8688.61 556.65 16684.29 6789.18 9173.73 5983.22 9476.01 3993.77 6284.81 98
save fliter87.00 4367.23 9179.24 8677.94 17456.65 166
MSC_two_6792asdad79.02 5983.14 10367.03 9380.75 12586.24 2377.27 3594.85 2683.78 130
No_MVS79.02 5983.14 10367.03 9380.75 12586.24 2377.27 3594.85 2683.78 130
OPU-MVS78.65 6683.44 10166.85 9583.62 4586.12 16266.82 11386.01 3161.72 14789.79 14283.08 152
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 5083.47 140
Regformer-275.32 9674.47 10777.88 7674.22 23066.65 9772.77 15977.54 17868.47 6180.44 11272.08 31270.60 8080.97 13470.08 8084.02 22686.01 72
test_part285.90 6366.44 9884.61 63
PS-MVSNAJss77.54 7877.35 8478.13 7584.88 7766.37 9978.55 9579.59 14753.48 20986.29 3592.43 1562.39 15080.25 14967.90 9990.61 12487.77 48
plane_prior785.18 7266.21 100
ETH3D cwj APD-0.1678.38 7478.72 7277.38 8280.09 14466.16 10179.08 8986.13 2757.55 15680.93 10687.76 12271.98 6982.73 10472.11 7192.83 7783.25 147
agg_prior175.89 8976.41 9074.31 12084.44 8766.02 10276.12 12678.62 16354.40 19176.95 15686.85 13266.44 11980.34 14672.45 6791.42 10076.57 251
agg_prior84.44 8766.02 10278.62 16376.95 15680.34 146
plane_prior365.67 10463.82 10178.23 136
MVS_111021_HR72.98 13672.97 13872.99 14380.82 13765.47 10568.81 21372.77 21957.67 15375.76 17882.38 20971.01 7777.17 20361.38 14986.15 19476.32 252
DP-MVS78.44 7379.29 6775.90 10181.86 12765.33 10679.05 9084.63 6074.83 2080.41 11386.27 15571.68 7183.45 9062.45 14492.40 8578.92 227
plane_prior684.18 9165.31 10760.83 168
HQP_MVS78.77 6778.78 7178.72 6485.18 7265.18 10882.74 5485.49 3565.45 8078.23 13689.11 9560.83 16886.15 2871.09 7490.94 11284.82 96
plane_prior65.18 10880.06 8061.88 11989.91 139
原ACMM173.90 12585.90 6365.15 11081.67 10650.97 23674.25 20086.16 16061.60 15883.54 8756.75 18391.08 11073.00 277
MAR-MVS67.72 20166.16 21672.40 15974.45 22764.99 11174.87 13877.50 18048.67 25865.78 28568.58 34457.01 20777.79 19646.68 26681.92 24574.42 267
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
Vis-MVSNetpermissive74.85 10774.56 10575.72 10381.63 13164.64 11276.35 12279.06 15362.85 11273.33 21188.41 10862.54 14879.59 16063.94 13082.92 23682.94 157
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
ETH3D-3000-0.179.14 6379.80 6377.16 8780.67 13964.57 11380.26 7587.60 1260.74 12782.47 8888.03 11971.73 7081.81 11773.12 5993.61 6585.09 87
Fast-Effi-MVS+-dtu70.00 16768.74 18873.77 12773.47 23964.53 11471.36 17978.14 17155.81 17468.84 26574.71 29065.36 13075.75 21952.00 22379.00 27981.03 192
Regformer-474.64 10873.67 12177.55 7874.74 21964.49 11572.91 15775.42 19967.45 6380.24 11672.07 31468.98 9280.19 15370.29 7880.91 25887.98 46
SF-MVS80.72 4881.80 4677.48 8082.03 12464.40 11683.41 5088.46 665.28 8584.29 6789.18 9173.73 5983.22 9476.01 3993.77 6284.81 98
OurMVSNet-221017-078.57 6978.53 7578.67 6580.48 14164.16 11780.24 7682.06 10061.89 11888.77 1293.32 457.15 20382.60 10670.08 8092.80 7889.25 27
Regformer-174.28 11073.63 12376.21 9874.22 23064.12 11872.77 15975.46 19866.86 6879.27 12472.08 31269.29 8978.74 17168.73 8784.02 22685.77 80
CDPH-MVS77.33 8077.06 8878.14 7484.21 9063.98 11976.07 12783.45 8454.20 19777.68 14787.18 12369.98 8485.37 5168.01 9592.72 8285.08 89
UGNet70.20 16569.05 18173.65 12876.24 19863.64 12075.87 12972.53 22261.48 12060.93 31486.14 16152.37 22877.12 20450.67 23385.21 20780.17 214
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 16668.88 18473.53 13282.71 11463.62 12174.81 14081.95 10348.53 26067.16 27879.18 25051.42 23478.38 18254.39 21079.72 27578.60 229
DP-MVS Recon73.57 12072.69 14076.23 9782.85 11263.39 12274.32 14982.96 9057.75 15070.35 24981.98 21264.34 13984.41 7549.69 24089.95 13780.89 197
testdata64.13 25085.87 6563.34 12361.80 29747.83 26676.42 17486.60 14748.83 24962.31 31954.46 20981.26 25566.74 327
LCM-MVSNet86.90 188.67 181.57 2591.50 163.30 12484.80 3487.77 1086.18 196.26 196.06 190.32 184.49 7068.08 9397.05 196.93 1
3Dnovator65.95 1171.50 15471.22 16172.34 16073.16 24463.09 12578.37 9778.32 16757.67 15372.22 22684.61 18054.77 21678.47 17760.82 15681.07 25775.45 258
NP-MVS83.34 10263.07 12685.97 166
MSLP-MVS++74.48 10975.78 9670.59 17584.66 8162.40 12778.65 9384.24 7260.55 12977.71 14681.98 21263.12 14377.64 19962.95 14188.14 16371.73 291
ACMH+66.64 1081.20 4082.48 4377.35 8481.16 13662.39 12880.51 6887.80 873.02 2887.57 2191.08 3780.28 1082.44 10764.82 12096.10 487.21 56
PHI-MVS74.92 10374.36 11076.61 9076.40 19662.32 12980.38 7183.15 8754.16 19973.23 21380.75 22562.19 15383.86 8168.02 9490.92 11583.65 134
LF4IMVS67.50 20367.31 20868.08 21658.86 34961.93 13071.43 17775.90 19444.67 28772.42 22380.20 23357.16 20270.44 27458.99 17186.12 19571.88 289
xiu_mvs_v1_base_debu67.87 19867.07 21070.26 18079.13 15961.90 13167.34 23571.25 23947.98 26367.70 27274.19 29961.31 16172.62 25156.51 18578.26 28776.27 253
xiu_mvs_v1_base67.87 19867.07 21070.26 18079.13 15961.90 13167.34 23571.25 23947.98 26367.70 27274.19 29961.31 16172.62 25156.51 18578.26 28776.27 253
xiu_mvs_v1_base_debi67.87 19867.07 21070.26 18079.13 15961.90 13167.34 23571.25 23947.98 26367.70 27274.19 29961.31 16172.62 25156.51 18578.26 28776.27 253
CSCG74.12 11274.39 10873.33 13479.35 15261.66 13477.45 10981.98 10262.47 11679.06 12780.19 23461.83 15578.79 17059.83 16687.35 17879.54 220
test_one_060185.84 6761.45 13585.63 3375.27 1985.62 4790.38 6476.72 29
CANet73.00 13471.84 15076.48 9375.82 20461.28 13674.81 14080.37 13663.17 11062.43 30480.50 22961.10 16685.16 6064.00 12784.34 22283.01 156
EPNet69.10 18367.32 20774.46 11568.33 28761.27 13777.56 10763.57 28560.95 12556.62 33082.75 20551.53 23381.24 12554.36 21190.20 12980.88 198
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
SED-MVS81.78 3583.48 2776.67 8986.12 5961.06 13883.62 4584.72 5572.61 3287.38 2589.70 8177.48 2485.89 3975.29 4594.39 4383.08 152
test_241102_ONE86.12 5961.06 13884.72 5572.64 3187.38 2589.47 8477.48 2485.74 43
AdaColmapbinary74.22 11174.56 10573.20 13881.95 12560.97 14079.43 8380.90 12465.57 7972.54 22181.76 21670.98 7885.26 5447.88 25690.00 13573.37 274
test1276.51 9282.28 12060.94 14181.64 10773.60 20664.88 13485.19 5990.42 12783.38 143
DVP-MVS++81.24 3982.74 4076.76 8883.14 10360.90 14291.64 185.49 3574.03 2384.93 5690.38 6466.82 11385.90 3777.43 3390.78 12083.49 137
IU-MVS86.12 5960.90 14280.38 13545.49 28081.31 10175.64 4494.39 4384.65 101
DVP-MVScopyleft81.15 4283.12 3575.24 11186.16 5760.78 14483.77 4380.58 13172.48 3485.83 4290.41 5978.57 1885.69 4475.86 4294.39 4379.24 223
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
test072686.16 5760.78 14483.81 4285.10 4672.48 3485.27 5389.96 7778.57 18
wuyk23d61.97 25666.25 21549.12 32758.19 35360.77 14666.32 25252.97 33455.93 17390.62 586.91 13073.07 6235.98 36720.63 36991.63 9550.62 358
test_0728_SECOND76.57 9186.20 5460.57 14783.77 4385.49 3585.90 3775.86 4294.39 4383.25 147
MVP-Stereo61.56 26059.22 27268.58 21079.28 15360.44 14869.20 20771.57 23043.58 29556.42 33178.37 25939.57 30176.46 21434.86 33360.16 35568.86 316
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
旧先验184.55 8460.36 14963.69 28487.05 12854.65 21883.34 23369.66 308
pmmvs-eth3d64.41 23563.27 24267.82 22175.81 20560.18 15069.49 20262.05 29538.81 32174.13 20182.23 21043.76 27468.65 28442.53 28580.63 26574.63 265
Regformer-372.86 13972.28 14574.62 11474.74 21960.18 15072.91 15771.76 22764.74 9278.42 13472.07 31467.00 11076.28 21567.97 9780.91 25887.39 53
PCF-MVS63.80 1372.70 14271.69 15275.72 10378.10 17260.01 15273.04 15681.50 10845.34 28279.66 12084.35 18565.15 13282.65 10548.70 24889.38 15184.50 114
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
test_prior376.71 8677.19 8575.27 10982.15 12259.85 15375.57 13184.33 6758.92 14176.53 17086.78 13567.83 10583.39 9169.81 8292.76 8082.58 168
test_prior75.27 10982.15 12259.85 15384.33 6783.39 9182.58 168
TAMVS65.31 22163.75 23669.97 18982.23 12159.76 15566.78 24863.37 28645.20 28369.79 25579.37 24547.42 25872.17 25734.48 33485.15 20977.99 243
jason64.47 23362.84 24669.34 19676.91 19059.20 15667.15 24065.67 27035.29 33665.16 28776.74 27444.67 26870.68 27054.74 20479.28 27878.14 239
jason: jason.
MVSFormer69.93 16969.03 18272.63 15674.93 21359.19 15783.98 3975.72 19552.27 21963.53 30076.74 27443.19 27780.56 14172.28 6878.67 28378.14 239
lupinMVS63.36 24261.49 25668.97 20274.93 21359.19 15765.80 25964.52 28134.68 34163.53 30074.25 29743.19 27770.62 27153.88 21578.67 28377.10 248
MCST-MVS73.42 12273.34 12973.63 13081.28 13459.17 15974.80 14283.13 8845.50 27872.84 21683.78 19265.15 13280.99 13264.54 12189.09 15780.73 204
test_040278.17 7679.48 6674.24 12183.50 9859.15 16072.52 16174.60 20875.34 1788.69 1391.81 2275.06 4482.37 10965.10 11788.68 16081.20 188
EI-MVSNet-Vis-set72.78 14071.87 14975.54 10674.77 21859.02 16172.24 16371.56 23163.92 9978.59 13071.59 32066.22 12178.60 17367.58 10080.32 26689.00 34
DPM-MVS69.98 16869.22 18072.26 16282.69 11558.82 16270.53 19181.23 11647.79 26764.16 29380.21 23251.32 23583.12 9760.14 16284.95 21474.83 264
HQP5-MVS58.80 163
EG-PatchMatch MVS70.70 16070.88 16470.16 18382.64 11658.80 16371.48 17673.64 21254.98 18076.55 16881.77 21561.10 16678.94 16754.87 20380.84 26172.74 281
HQP-MVS75.24 9875.01 10275.94 10082.37 11758.80 16377.32 11084.12 7559.08 13771.58 23285.96 16758.09 19385.30 5367.38 10489.16 15283.73 133
EI-MVSNet-UG-set72.63 14371.68 15375.47 10774.67 22258.64 16672.02 16671.50 23263.53 10478.58 13271.39 32365.98 12278.53 17567.30 10680.18 26889.23 28
CDS-MVSNet64.33 23662.66 24869.35 19580.44 14258.28 16765.26 26665.66 27144.36 28867.30 27775.54 28143.27 27671.77 26337.68 31584.44 22178.01 242
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
IterMVS-SCA-FT67.68 20266.07 21772.49 15773.34 24258.20 16863.80 28265.55 27348.10 26276.91 15882.64 20645.20 26478.84 16861.20 15177.89 29180.44 210
pmmvs460.78 26659.04 27466.00 23973.06 25057.67 16964.53 27560.22 30036.91 33065.96 28277.27 27039.66 30068.54 28538.87 30574.89 30771.80 290
114514_t73.40 12373.33 13073.64 12984.15 9257.11 17078.20 10280.02 14143.76 29272.55 22086.07 16564.00 14083.35 9360.14 16291.03 11180.45 209
ETH3 D test640075.73 9276.00 9474.92 11281.75 12856.93 17178.31 9884.60 6252.83 21577.15 15185.14 17768.59 9584.03 7965.44 11690.20 12983.82 127
BH-untuned69.39 17769.46 17569.18 19777.96 17656.88 17268.47 22377.53 17956.77 16377.79 14479.63 24160.30 17280.20 15246.04 26980.65 26370.47 300
DROMVSNet77.08 8277.39 8376.14 9976.86 19356.87 17380.32 7487.52 1363.45 10674.66 19584.52 18269.87 8684.94 6269.76 8489.59 14586.60 65
lessismore_v072.75 15179.60 14956.83 17457.37 31183.80 7489.01 9847.45 25778.74 17164.39 12386.49 19382.69 166
ACMH63.62 1477.50 7980.11 6069.68 19179.61 14856.28 17578.81 9183.62 8263.41 10887.14 3190.23 7276.11 3473.32 24467.58 10094.44 4179.44 221
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ETV-MVS72.72 14172.16 14874.38 11976.90 19155.95 17673.34 15584.67 5762.04 11772.19 22770.81 32465.90 12485.24 5658.64 17284.96 21381.95 181
API-MVS70.97 15871.51 15869.37 19375.20 21055.94 17780.99 6576.84 18662.48 11571.24 24077.51 26961.51 16080.96 13852.04 22285.76 19971.22 295
v7n79.37 6280.41 5876.28 9678.67 16855.81 17879.22 8882.51 9770.72 4787.54 2292.44 1468.00 10481.34 12272.84 6191.72 9191.69 10
ET-MVSNet_ETH3D63.32 24360.69 26471.20 17170.15 27555.66 17965.02 26964.32 28243.28 30068.99 26172.05 31825.46 36178.19 19054.16 21382.80 23779.74 219
EIA-MVS68.59 19067.16 20972.90 14775.18 21155.64 18069.39 20481.29 11352.44 21864.53 28970.69 32560.33 17182.30 11154.27 21276.31 29680.75 203
K. test v373.67 11773.61 12473.87 12679.78 14655.62 18174.69 14662.04 29666.16 7684.76 6193.23 549.47 24380.97 13465.66 11486.67 19185.02 91
JIA-IIPM54.03 30051.62 31261.25 28259.14 34855.21 18259.10 31347.72 34950.85 23750.31 35485.81 17020.10 37163.97 31136.16 32855.41 36664.55 339
SixPastTwentyTwo75.77 9076.34 9174.06 12481.69 13054.84 18376.47 11975.49 19764.10 9887.73 1892.24 1750.45 23981.30 12467.41 10291.46 9986.04 71
BH-w/o64.81 22764.29 23366.36 23676.08 20254.71 18465.61 26275.23 20350.10 24571.05 24471.86 31954.33 22079.02 16538.20 31276.14 29765.36 332
MSDG67.47 20567.48 20667.46 22470.70 26754.69 18566.90 24678.17 17060.88 12670.41 24874.76 28761.22 16573.18 24547.38 25976.87 29374.49 266
Patchmatch-RL test59.95 27259.12 27362.44 27172.46 25454.61 18659.63 31147.51 35041.05 31074.58 19674.30 29531.06 34165.31 30551.61 22579.85 27167.39 320
CLD-MVS72.88 13872.36 14474.43 11777.03 18754.30 18768.77 21683.43 8552.12 22176.79 16474.44 29369.54 8883.91 8055.88 19493.25 7285.09 87
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
HyFIR lowres test63.01 24760.47 26570.61 17483.04 10854.10 18859.93 31072.24 22633.67 34669.00 26075.63 28038.69 30476.93 20636.60 32375.45 30380.81 202
Gipumacopyleft69.55 17472.83 13959.70 29263.63 32553.97 18980.08 7975.93 19364.24 9773.49 20888.93 10157.89 19962.46 31759.75 16791.55 9862.67 344
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
OpenMVScopyleft62.51 1568.76 18768.75 18768.78 20870.56 27153.91 19078.29 9977.35 18148.85 25770.22 25183.52 19352.65 22776.93 20655.31 20081.99 24475.49 257
BH-RMVSNet68.69 18968.20 19770.14 18476.40 19653.90 19164.62 27373.48 21358.01 14773.91 20581.78 21459.09 18378.22 18748.59 24977.96 29078.31 233
bset_n11_16_dypcd66.91 21165.84 21970.12 18572.95 25153.54 19263.64 28468.65 25948.54 25972.54 22174.28 29640.58 29478.54 17463.52 13687.82 17078.29 234
PAPM_NR73.91 11374.16 11273.16 13981.90 12653.50 19381.28 6481.40 11166.17 7573.30 21283.31 20059.96 17383.10 9858.45 17481.66 25282.87 159
PMMVS44.69 32943.95 33646.92 33150.05 37353.47 19448.08 34642.40 35922.36 36944.01 36653.05 36442.60 28245.49 34831.69 34361.36 35341.79 365
EPP-MVSNet73.86 11473.38 12775.31 10878.19 17153.35 19580.45 6977.32 18265.11 8876.47 17286.80 13349.47 24383.77 8253.89 21492.72 8288.81 40
IterMVS63.12 24662.48 24965.02 24566.34 30452.86 19663.81 28162.25 29046.57 27571.51 23780.40 23044.60 26966.82 29951.38 22875.47 30275.38 260
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
tttt051769.46 17567.79 20274.46 11575.34 20852.72 19775.05 13663.27 28754.69 18678.87 12984.37 18426.63 35581.15 12663.95 12887.93 16989.51 24
GeoE73.14 12773.77 11971.26 17078.09 17352.64 19874.32 14979.56 14856.32 16976.35 17583.36 19970.76 7977.96 19363.32 13881.84 24783.18 150
QAPM69.18 18269.26 17868.94 20371.61 26052.58 19980.37 7278.79 15949.63 25073.51 20785.14 17753.66 22279.12 16455.11 20175.54 30175.11 262
CS-MVS-test73.63 11873.74 12073.30 13675.80 20651.70 20077.02 11786.83 1961.29 12168.47 26779.23 24765.42 12985.14 6164.04 12585.55 20083.07 154
CHOSEN 280x42041.62 33439.89 33946.80 33261.81 33151.59 20133.56 36535.74 37227.48 36337.64 37153.53 36323.24 36742.09 36127.39 35858.64 35946.72 362
CMPMVSbinary48.73 2061.54 26160.89 26163.52 25861.08 33751.55 20268.07 22768.00 26333.88 34365.87 28381.25 22137.91 30967.71 28949.32 24382.60 23971.31 294
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PS-MVSNAJ64.27 23763.73 23765.90 24077.82 17951.42 20363.33 28872.33 22445.09 28561.60 30668.04 34562.39 15073.95 24249.07 24473.87 31472.34 284
xiu_mvs_v2_base64.43 23463.96 23465.85 24177.72 18151.32 20463.63 28572.31 22545.06 28661.70 30569.66 33462.56 14673.93 24349.06 24573.91 31372.31 285
CHOSEN 1792x268858.09 28356.30 29463.45 25979.95 14550.93 20554.07 33265.59 27228.56 36161.53 30774.33 29441.09 29066.52 30233.91 33767.69 34372.92 278
TR-MVS64.59 23063.54 23967.73 22375.75 20750.83 20663.39 28770.29 25049.33 25271.55 23674.55 29150.94 23678.46 17840.43 29875.69 29973.89 271
thisisatest053067.05 21065.16 22372.73 15373.10 24850.55 20771.26 18363.91 28350.22 24374.46 19880.75 22526.81 35480.25 14959.43 16886.50 19287.37 54
Effi-MVS+72.10 14972.28 14571.58 16574.21 23350.33 20874.72 14582.73 9362.62 11370.77 24576.83 27369.96 8580.97 13460.20 15978.43 28583.45 142
IB-MVS49.67 1859.69 27456.96 28967.90 21868.19 28850.30 20961.42 30065.18 27547.57 26955.83 33467.15 35123.77 36679.60 15943.56 28279.97 27073.79 272
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
ambc70.10 18677.74 18050.21 21074.28 15177.93 17579.26 12588.29 11354.11 22179.77 15764.43 12291.10 10980.30 211
cascas64.59 23062.77 24770.05 18775.27 20950.02 21161.79 29871.61 22942.46 30263.68 29868.89 34149.33 24580.35 14547.82 25784.05 22579.78 218
EI-MVSNet69.61 17369.01 18371.41 16973.94 23549.90 21271.31 18171.32 23658.22 14575.40 18470.44 32658.16 19175.85 21662.51 14279.81 27288.48 43
MDA-MVSNet-bldmvs62.34 25561.73 25164.16 24961.64 33349.90 21248.11 34557.24 31453.31 21080.95 10579.39 24449.00 24861.55 32145.92 27080.05 26981.03 192
IterMVS-LS73.01 13373.12 13472.66 15473.79 23749.90 21271.63 17578.44 16658.22 14580.51 11186.63 14558.15 19279.62 15862.51 14288.20 16288.48 43
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
nrg03074.87 10675.99 9571.52 16774.90 21549.88 21574.10 15282.58 9654.55 19083.50 7789.21 9071.51 7275.74 22061.24 15092.34 8688.94 36
PVSNet_BlendedMVS65.38 22064.30 23268.61 20969.81 27649.36 21665.60 26378.96 15445.50 27859.98 31778.61 25651.82 23078.20 18844.30 27684.11 22478.27 236
PVSNet_Blended62.90 24961.64 25366.69 23469.81 27649.36 21661.23 30278.96 15442.04 30359.98 31768.86 34251.82 23078.20 18844.30 27677.77 29272.52 282
MS-PatchMatch55.59 29354.89 30157.68 30269.18 28149.05 21861.00 30462.93 28835.98 33358.36 32468.93 34036.71 31566.59 30137.62 31763.30 35157.39 353
v1075.69 9376.20 9374.16 12274.44 22848.69 21975.84 13082.93 9159.02 14085.92 4089.17 9358.56 18882.74 10370.73 7689.14 15591.05 13
v119273.40 12373.42 12573.32 13574.65 22548.67 22072.21 16481.73 10552.76 21681.85 9284.56 18157.12 20482.24 11368.58 8887.33 17989.06 32
Fast-Effi-MVS+68.81 18668.30 19270.35 17974.66 22448.61 22166.06 25478.32 16750.62 24071.48 23875.54 28168.75 9479.59 16050.55 23578.73 28282.86 160
MVS_030462.51 25362.27 25063.25 26169.39 28048.47 22264.05 28062.48 28959.69 13554.10 34281.04 22345.71 26066.31 30341.38 29382.58 24074.96 263
DELS-MVS68.83 18568.31 19170.38 17870.55 27248.31 22363.78 28382.13 9954.00 20268.96 26275.17 28558.95 18580.06 15558.55 17382.74 23882.76 163
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
pmmvs346.71 32445.09 33151.55 31956.76 35748.25 22455.78 32739.53 36924.13 36850.35 35363.40 35515.90 37751.08 33729.29 35470.69 32955.33 356
CR-MVSNet58.96 27858.49 27960.36 28966.37 30248.24 22570.93 18756.40 31932.87 34961.35 30886.66 14233.19 32463.22 31648.50 25170.17 33169.62 309
RPMNet65.77 21865.08 23067.84 22066.37 30248.24 22570.93 18786.27 2354.66 18761.35 30886.77 13733.29 32385.67 4655.93 19370.17 33169.62 309
v114473.29 12673.39 12673.01 14274.12 23448.11 22772.01 16781.08 12153.83 20681.77 9484.68 17958.07 19681.91 11568.10 9286.86 18788.99 35
IS-MVSNet75.10 10075.42 10174.15 12379.23 15548.05 22879.43 8378.04 17270.09 5279.17 12688.02 12053.04 22483.60 8558.05 17793.76 6490.79 17
alignmvs70.54 16271.00 16369.15 19873.50 23848.04 22969.85 19979.62 14453.94 20576.54 16982.00 21159.00 18474.68 23357.32 18087.21 18384.72 100
D2MVS62.58 25261.05 26067.20 22763.85 32247.92 23056.29 32469.58 25339.32 31670.07 25278.19 26134.93 31972.68 24953.44 21983.74 23081.00 194
UniMVSNet (Re)75.00 10275.48 10073.56 13183.14 10347.92 23070.41 19481.04 12263.67 10279.54 12186.37 15362.83 14481.82 11657.10 18295.25 1590.94 15
PAPR69.20 18168.66 19070.82 17275.15 21247.77 23275.31 13481.11 11849.62 25166.33 28179.27 24661.53 15982.96 10048.12 25481.50 25481.74 184
CVMVSNet59.21 27758.44 28061.51 27873.94 23547.76 23371.31 18164.56 28026.91 36560.34 31670.44 32636.24 31667.65 29053.57 21768.66 33969.12 314
EPNet_dtu58.93 27958.52 27860.16 29167.91 29247.70 23469.97 19658.02 30649.73 24847.28 35873.02 30838.14 30662.34 31836.57 32485.99 19770.43 301
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v192192072.96 13772.98 13772.89 14874.67 22247.58 23571.92 17180.69 12751.70 22781.69 9883.89 19056.58 21082.25 11268.34 9087.36 17788.82 39
v14419272.99 13573.06 13572.77 15074.58 22647.48 23671.90 17280.44 13451.57 22881.46 10084.11 18858.04 19782.12 11467.98 9687.47 17588.70 42
v875.07 10175.64 9873.35 13373.42 24047.46 23775.20 13581.45 11060.05 13185.64 4489.26 8858.08 19581.80 11869.71 8587.97 16890.79 17
canonicalmvs72.29 14873.38 12769.04 19974.23 22947.37 23873.93 15383.18 8654.36 19276.61 16781.64 21872.03 6675.34 22457.12 18187.28 18184.40 116
MVS60.62 26859.97 26862.58 27068.13 28947.28 23968.59 21873.96 21132.19 35059.94 31968.86 34250.48 23877.64 19941.85 29075.74 29862.83 342
v124073.06 13173.14 13272.84 14974.74 21947.27 24071.88 17381.11 11851.80 22582.28 9084.21 18656.22 21282.34 11068.82 8687.17 18588.91 37
V4271.06 15670.83 16571.72 16467.25 29747.14 24165.94 25580.35 13751.35 23183.40 7883.23 20259.25 18278.80 16965.91 11280.81 26289.23 28
TinyColmap67.98 19769.28 17764.08 25167.98 29146.82 24270.04 19575.26 20253.05 21277.36 15086.79 13459.39 18072.59 25445.64 27188.01 16772.83 279
v2v48272.55 14672.58 14172.43 15872.92 25246.72 24371.41 17879.13 15255.27 17781.17 10385.25 17655.41 21581.13 12767.25 10785.46 20189.43 25
casdiffmvs73.06 13173.84 11670.72 17371.32 26246.71 24470.93 18784.26 7155.62 17577.46 14987.10 12467.09 10977.81 19563.95 12886.83 18887.64 50
VDD-MVS70.81 15971.44 15968.91 20579.07 16246.51 24567.82 22970.83 24761.23 12274.07 20388.69 10359.86 17575.62 22151.11 22990.28 12884.61 105
eth_miper_zixun_eth69.42 17668.73 18971.50 16867.99 29046.42 24667.58 23178.81 15750.72 23978.13 13880.34 23150.15 24180.34 14660.18 16084.65 21687.74 49
thisisatest051560.48 26957.86 28368.34 21267.25 29746.42 24660.58 30662.14 29140.82 31163.58 29969.12 33726.28 35778.34 18448.83 24682.13 24380.26 212
baseline73.10 12873.96 11570.51 17771.46 26146.39 24872.08 16584.40 6655.95 17276.62 16686.46 15167.20 10878.03 19264.22 12487.27 18287.11 59
MVSTER63.29 24461.60 25568.36 21159.77 34646.21 24960.62 30571.32 23641.83 30475.40 18479.12 25130.25 34775.85 21656.30 19079.81 27283.03 155
UniMVSNet_NR-MVSNet74.90 10575.65 9772.64 15583.04 10845.79 25069.26 20678.81 15766.66 7281.74 9686.88 13163.26 14281.07 13056.21 19194.98 2191.05 13
DU-MVS74.91 10475.57 9972.93 14683.50 9845.79 25069.47 20380.14 14065.22 8681.74 9687.08 12561.82 15681.07 13056.21 19194.98 2191.93 8
test_part176.97 8378.21 7773.25 13777.87 17745.76 25278.27 10087.26 1566.69 7185.31 5291.43 3255.95 21484.24 7865.71 11395.43 1289.75 22
miper_lstm_enhance61.97 25661.63 25462.98 26560.04 34245.74 25347.53 34770.95 24444.04 28973.06 21478.84 25539.72 29960.33 32355.82 19584.64 21782.88 158
Anonymous2023121175.54 9477.19 8570.59 17577.67 18245.70 25474.73 14480.19 13868.80 5682.95 8192.91 866.26 12076.76 21158.41 17592.77 7989.30 26
OpenMVS_ROBcopyleft54.93 1763.23 24563.28 24163.07 26469.81 27645.34 25568.52 22167.14 26443.74 29370.61 24779.22 24847.90 25672.66 25048.75 24773.84 31571.21 296
Anonymous2024052972.56 14473.79 11868.86 20676.89 19245.21 25668.80 21577.25 18467.16 6576.89 15990.44 5565.95 12374.19 24050.75 23290.00 13587.18 58
diffmvs67.42 20667.50 20567.20 22762.26 33045.21 25664.87 27077.04 18548.21 26171.74 22979.70 24058.40 18971.17 26864.99 11880.27 26785.22 83
131459.83 27358.86 27662.74 26965.71 31044.78 25868.59 21872.63 22133.54 34861.05 31267.29 35043.62 27571.26 26749.49 24267.84 34272.19 287
v14869.38 17869.39 17669.36 19469.14 28344.56 25968.83 21272.70 22054.79 18478.59 13084.12 18754.69 21776.74 21259.40 16982.20 24286.79 62
GA-MVS62.91 24861.66 25266.66 23567.09 29944.49 26061.18 30369.36 25551.33 23269.33 25874.47 29236.83 31474.94 22950.60 23474.72 30880.57 208
ppachtmachnet_test60.26 27159.61 27162.20 27367.70 29444.33 26158.18 31860.96 29940.75 31265.80 28472.57 31041.23 28763.92 31246.87 26482.42 24178.33 232
baseline255.57 29452.74 30864.05 25265.26 31244.11 26262.38 29454.43 32539.03 31951.21 34867.35 34933.66 32272.45 25537.14 32064.22 34975.60 256
Anonymous2024052163.55 24166.07 21755.99 30766.18 30744.04 26368.77 21668.80 25646.99 27272.57 21985.84 16939.87 29850.22 33953.40 22092.23 8873.71 273
UniMVSNet_ETH3D76.74 8579.02 6869.92 19089.27 2043.81 26474.47 14871.70 22872.33 3785.50 4993.65 377.98 2276.88 20854.60 20691.64 9489.08 31
NR-MVSNet73.62 11974.05 11372.33 16183.50 9843.71 26565.65 26177.32 18264.32 9675.59 18087.08 12562.45 14981.34 12254.90 20295.63 891.93 8
cl____68.26 19668.26 19368.29 21364.98 31743.67 26665.89 25674.67 20650.04 24676.86 16182.42 20848.74 25075.38 22260.92 15589.81 14085.80 79
DIV-MVS_self_test68.27 19568.26 19368.29 21364.98 31743.67 26665.89 25674.67 20650.04 24676.86 16182.43 20748.74 25075.38 22260.94 15489.81 14085.81 75
c3_l69.82 17169.89 17269.61 19266.24 30543.48 26868.12 22679.61 14651.43 23077.72 14580.18 23554.61 21978.15 19163.62 13387.50 17487.20 57
cl2267.14 20766.51 21469.03 20063.20 32643.46 26966.88 24776.25 19049.22 25374.48 19777.88 26545.49 26377.40 20160.64 15784.59 21886.24 67
miper_ehance_all_eth68.36 19268.16 19868.98 20165.14 31643.34 27067.07 24278.92 15649.11 25576.21 17677.72 26653.48 22377.92 19461.16 15284.59 21885.68 81
USDC62.80 25063.10 24461.89 27565.19 31343.30 27167.42 23474.20 21035.80 33572.25 22584.48 18345.67 26171.95 26237.95 31484.97 21070.42 302
MVS_Test69.84 17070.71 16667.24 22667.49 29643.25 27269.87 19881.22 11752.69 21771.57 23586.68 14162.09 15474.51 23566.05 11078.74 28183.96 125
EMVS44.61 33144.45 33545.10 34048.91 37443.00 27337.92 36241.10 36746.75 27438.00 37048.43 36826.42 35646.27 34537.11 32175.38 30446.03 363
CANet_DTU64.04 23963.83 23564.66 24668.39 28442.97 27473.45 15474.50 20952.05 22354.78 33775.44 28443.99 27270.42 27553.49 21878.41 28680.59 207
E-PMN45.17 32745.36 33044.60 34150.07 37242.75 27538.66 36142.29 36146.39 27639.55 36851.15 36626.00 35845.37 35037.68 31576.41 29445.69 364
WR-MVS_H80.22 5682.17 4574.39 11889.46 1542.69 27678.24 10182.24 9878.21 1089.57 992.10 1868.05 10285.59 4766.04 11195.62 994.88 5
miper_enhance_ethall65.86 21665.05 23168.28 21561.62 33442.62 27764.74 27177.97 17342.52 30173.42 21072.79 30949.66 24277.68 19858.12 17684.59 21884.54 109
TranMVSNet+NR-MVSNet76.13 8877.66 8171.56 16684.61 8342.57 27870.98 18678.29 16968.67 5983.04 7989.26 8872.99 6380.75 14055.58 19995.47 1091.35 11
1112_ss59.48 27558.99 27560.96 28577.84 17842.39 27961.42 30068.45 26137.96 32559.93 32067.46 34745.11 26665.07 30740.89 29671.81 32275.41 259
CS-MVS69.29 17969.70 17468.07 21770.59 26842.36 28069.70 20184.56 6353.13 21167.96 27076.74 27459.41 17983.56 8660.33 15884.84 21578.28 235
pmmvs671.82 15173.66 12266.31 23775.94 20342.01 28166.99 24372.53 22263.45 10676.43 17392.78 1072.95 6469.69 27851.41 22790.46 12687.22 55
test-LLR50.43 31550.69 32049.64 32360.76 33841.87 28253.18 33445.48 35343.41 29749.41 35560.47 35929.22 35244.73 35342.09 28872.14 32062.33 346
test-mter48.56 32048.20 32549.64 32360.76 33841.87 28253.18 33445.48 35331.91 35549.41 35560.47 35918.34 37244.73 35342.09 28872.14 32062.33 346
PAPM61.79 25960.37 26666.05 23876.09 20141.87 28269.30 20576.79 18840.64 31353.80 34379.62 24244.38 27082.92 10129.64 35273.11 31773.36 275
EU-MVSNet60.82 26560.80 26360.86 28668.37 28541.16 28572.27 16268.27 26226.96 36469.08 25975.71 27932.09 33267.44 29255.59 19878.90 28073.97 269
VDDNet71.60 15373.13 13367.02 23086.29 5341.11 28669.97 19666.50 26868.72 5874.74 19191.70 2459.90 17475.81 21848.58 25091.72 9184.15 123
SCA58.57 28258.04 28260.17 29070.17 27441.07 28765.19 26753.38 33243.34 29961.00 31373.48 30345.20 26469.38 28040.34 29970.31 33070.05 304
test_yl65.11 22265.09 22865.18 24370.59 26840.86 28863.22 29172.79 21757.91 14868.88 26379.07 25342.85 28074.89 23045.50 27284.97 21079.81 216
DCV-MVSNet65.11 22265.09 22865.18 24370.59 26840.86 28863.22 29172.79 21757.91 14868.88 26379.07 25342.85 28074.89 23045.50 27284.97 21079.81 216
RRT_test8_iter0565.80 21765.13 22667.80 22267.02 30040.85 29067.13 24175.33 20049.73 24872.69 21881.32 21924.45 36577.37 20261.69 14886.82 18985.18 85
GBi-Net68.30 19368.79 18566.81 23173.14 24540.68 29171.96 16873.03 21454.81 18174.72 19290.36 6748.63 25275.20 22647.12 26085.37 20284.54 109
test168.30 19368.79 18566.81 23173.14 24540.68 29171.96 16873.03 21454.81 18174.72 19290.36 6748.63 25275.20 22647.12 26085.37 20284.54 109
FMVSNet171.06 15672.48 14266.81 23177.65 18340.68 29171.96 16873.03 21461.14 12379.45 12390.36 6760.44 17075.20 22650.20 23788.05 16584.54 109
ADS-MVSNet248.76 31947.25 32753.29 31455.90 36140.54 29447.34 34854.99 32431.41 35750.48 35172.06 31631.23 33854.26 33525.93 36055.93 36365.07 334
MG-MVS70.47 16371.34 16067.85 21979.26 15440.42 29574.67 14775.15 20458.41 14468.74 26688.14 11856.08 21383.69 8359.90 16581.71 25179.43 222
PVSNet_036.71 2241.12 33540.78 33842.14 34559.97 34340.13 29640.97 35742.24 36230.81 35944.86 36349.41 36740.70 29345.12 35123.15 36634.96 37041.16 366
pm-mvs168.40 19169.85 17364.04 25373.10 24839.94 29764.61 27470.50 24855.52 17673.97 20489.33 8663.91 14168.38 28649.68 24188.02 16683.81 129
tpm cat154.02 30152.63 30958.19 30164.85 31939.86 29866.26 25357.28 31232.16 35156.90 32870.39 32832.75 32865.30 30634.29 33558.79 35869.41 311
our_test_356.46 28856.51 29256.30 30567.70 29439.66 29955.36 32952.34 33740.57 31463.85 29569.91 33340.04 29758.22 32943.49 28375.29 30671.03 299
PS-CasMVS80.41 5282.86 3973.07 14189.93 739.21 30077.15 11481.28 11479.74 690.87 492.73 1175.03 4584.93 6363.83 13195.19 1695.07 3
PatchmatchNetpermissive54.60 29754.27 30355.59 30865.17 31539.08 30166.92 24551.80 33839.89 31558.39 32373.12 30731.69 33558.33 32843.01 28458.38 36169.38 312
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CP-MVSNet79.48 6081.65 5072.98 14489.66 1339.06 30276.76 11880.46 13378.91 890.32 791.70 2468.49 9784.89 6463.40 13795.12 1995.01 4
PEN-MVS80.46 5182.91 3773.11 14089.83 939.02 30377.06 11682.61 9580.04 590.60 692.85 974.93 4785.21 5763.15 14095.15 1895.09 2
FMVSNet267.48 20468.21 19665.29 24273.14 24538.94 30468.81 21371.21 24254.81 18176.73 16586.48 15048.63 25274.60 23447.98 25586.11 19682.35 174
DWT-MVSNet_test53.04 30451.12 31758.77 29861.23 33538.67 30562.16 29657.74 30738.24 32251.76 34759.07 36121.36 36867.40 29344.80 27563.76 35070.25 303
CostFormer57.35 28756.14 29560.97 28463.76 32438.43 30667.50 23260.22 30037.14 32959.12 32276.34 27732.78 32771.99 26139.12 30469.27 33672.47 283
TESTMET0.1,145.17 32744.93 33245.89 33656.02 36038.31 30753.18 33441.94 36327.85 36244.86 36356.47 36217.93 37341.50 36438.08 31368.06 34057.85 352
PVSNet43.83 2151.56 31351.17 31652.73 31568.34 28638.27 30848.22 34453.56 33036.41 33154.29 34064.94 35434.60 32054.20 33630.34 34769.87 33365.71 331
LFMVS67.06 20967.89 20064.56 24778.02 17438.25 30970.81 19059.60 30265.18 8771.06 24386.56 14843.85 27375.22 22546.35 26789.63 14380.21 213
Anonymous20240521166.02 21566.89 21363.43 26074.22 23038.14 31059.00 31466.13 26963.33 10969.76 25685.95 16851.88 22970.50 27344.23 27887.52 17381.64 185
Test_1112_low_res58.78 28058.69 27759.04 29779.41 15138.13 31157.62 32066.98 26634.74 33959.62 32177.56 26842.92 27963.65 31438.66 30770.73 32875.35 261
VPA-MVSNet68.71 18870.37 16963.72 25576.13 20038.06 31264.10 27871.48 23356.60 16874.10 20288.31 11264.78 13769.72 27747.69 25890.15 13283.37 144
ab-mvs64.11 23865.13 22661.05 28371.99 25838.03 31367.59 23068.79 25749.08 25665.32 28686.26 15658.02 19866.85 29839.33 30279.79 27478.27 236
FIs72.56 14473.80 11768.84 20778.74 16737.74 31471.02 18579.83 14356.12 17080.88 10989.45 8558.18 19078.28 18656.63 18493.36 7090.51 19
MIMVSNet166.57 21269.23 17958.59 29981.26 13537.73 31564.06 27957.62 30857.02 15978.40 13590.75 4562.65 14558.10 33041.77 29189.58 14679.95 215
mvs_anonymous65.08 22465.49 22063.83 25463.79 32337.60 31666.52 25169.82 25243.44 29673.46 20986.08 16458.79 18771.75 26551.90 22475.63 30082.15 178
FMVSNet365.00 22565.16 22364.52 24869.47 27937.56 31766.63 24970.38 24951.55 22974.72 19283.27 20137.89 31074.44 23647.12 26085.37 20281.57 186
DTE-MVSNet80.35 5382.89 3872.74 15289.84 837.34 31877.16 11381.81 10480.45 490.92 392.95 774.57 5186.12 3063.65 13294.68 3394.76 6
tfpnnormal66.48 21367.93 19962.16 27473.40 24136.65 31963.45 28664.99 27655.97 17172.82 21787.80 12157.06 20669.10 28348.31 25387.54 17280.72 205
FC-MVSNet-test73.32 12574.78 10468.93 20479.21 15636.57 32071.82 17479.54 14957.63 15582.57 8790.38 6459.38 18178.99 16657.91 17894.56 3591.23 12
MDA-MVSNet_test_wron52.57 30753.49 30649.81 32254.24 36736.47 32140.48 35946.58 35138.13 32375.47 18373.32 30541.05 29243.85 35740.98 29571.20 32569.10 315
YYNet152.58 30653.50 30549.85 32154.15 36836.45 32240.53 35846.55 35238.09 32475.52 18273.31 30641.08 29143.88 35641.10 29471.14 32669.21 313
HY-MVS49.31 1957.96 28457.59 28559.10 29666.85 30136.17 32365.13 26865.39 27439.24 31854.69 33978.14 26244.28 27167.18 29533.75 33870.79 32773.95 270
tpm256.12 28954.64 30260.55 28866.24 30536.01 32468.14 22556.77 31733.60 34758.25 32575.52 28330.25 34774.33 23833.27 33969.76 33571.32 293
Anonymous2023120654.13 29955.82 29749.04 32870.89 26435.96 32551.73 33750.87 34034.86 33762.49 30379.22 24842.52 28344.29 35527.95 35781.88 24666.88 324
TransMVSNet (Re)69.62 17271.63 15463.57 25776.51 19535.93 32665.75 26071.29 23861.05 12475.02 18689.90 7965.88 12570.41 27649.79 23989.48 14784.38 117
MVEpermissive27.91 2336.69 33835.64 34139.84 35043.37 37535.85 32719.49 36724.61 37724.68 36739.05 36962.63 35738.67 30527.10 37221.04 36847.25 36956.56 355
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
WR-MVS71.20 15572.48 14267.36 22584.98 7635.70 32864.43 27668.66 25865.05 8981.49 9986.43 15257.57 20176.48 21350.36 23693.32 7189.90 21
VNet64.01 24065.15 22560.57 28773.28 24335.61 32957.60 32167.08 26554.61 18866.76 28083.37 19756.28 21166.87 29642.19 28785.20 20879.23 224
tfpn200view960.35 27059.97 26861.51 27870.78 26535.35 33063.27 28957.47 30953.00 21368.31 26877.09 27132.45 33072.09 25835.61 33081.73 24877.08 249
thres40060.77 26759.97 26863.15 26270.78 26535.35 33063.27 28957.47 30953.00 21368.31 26877.09 27132.45 33072.09 25835.61 33081.73 24882.02 179
thres100view90061.17 26361.09 25961.39 28072.14 25735.01 33265.42 26556.99 31555.23 17870.71 24679.90 23732.07 33372.09 25835.61 33081.73 24877.08 249
thres600view761.82 25861.38 25763.12 26371.81 25934.93 33364.64 27256.99 31554.78 18570.33 25079.74 23932.07 33372.42 25638.61 30883.46 23282.02 179
thres20057.55 28657.02 28859.17 29567.89 29334.93 33358.91 31657.25 31350.24 24264.01 29471.46 32232.49 32971.39 26631.31 34479.57 27671.19 297
XXY-MVS55.19 29557.40 28748.56 32964.45 32034.84 33551.54 33853.59 32938.99 32063.79 29779.43 24356.59 20945.57 34736.92 32271.29 32465.25 333
Baseline_NR-MVSNet70.62 16173.19 13162.92 26876.97 18834.44 33668.84 21170.88 24660.25 13079.50 12290.53 5261.82 15669.11 28254.67 20595.27 1485.22 83
KD-MVS_self_test66.38 21467.51 20462.97 26661.76 33234.39 33758.11 31975.30 20150.84 23877.12 15385.42 17356.84 20869.44 27951.07 23091.16 10685.08 89
LCM-MVSNet-Re69.10 18371.57 15761.70 27670.37 27334.30 33861.45 29979.62 14456.81 16289.59 888.16 11768.44 9872.94 24742.30 28687.33 17977.85 244
sss47.59 32348.32 32345.40 33856.73 35833.96 33945.17 35348.51 34732.11 35452.37 34665.79 35240.39 29641.91 36331.85 34261.97 35260.35 349
gm-plane-assit62.51 32833.91 34037.25 32862.71 35672.74 24838.70 306
UnsupCasMVSNet_eth52.26 30953.29 30749.16 32655.08 36433.67 34150.03 34058.79 30537.67 32663.43 30274.75 28841.82 28545.83 34638.59 30959.42 35767.98 319
FMVSNet555.08 29655.54 29953.71 31165.80 30933.50 34256.22 32552.50 33643.72 29461.06 31183.38 19625.46 36154.87 33330.11 34981.64 25372.75 280
tpmvs55.84 29055.45 30057.01 30460.33 34133.20 34365.89 25659.29 30447.52 27056.04 33273.60 30231.05 34268.06 28840.64 29764.64 34769.77 307
UnsupCasMVSNet_bld50.01 31751.03 31946.95 33058.61 35032.64 34448.31 34353.27 33334.27 34260.47 31571.53 32141.40 28647.07 34430.68 34660.78 35461.13 348
CL-MVSNet_self_test62.44 25463.40 24059.55 29472.34 25532.38 34556.39 32364.84 27751.21 23467.46 27681.01 22450.75 23763.51 31538.47 31088.12 16482.75 164
pmmvs552.49 30852.58 31052.21 31854.99 36532.38 34555.45 32853.84 32832.15 35255.49 33674.81 28638.08 30757.37 33134.02 33674.40 31166.88 324
test20.0355.74 29257.51 28650.42 32059.89 34532.09 34750.63 33949.01 34550.11 24465.07 28883.23 20245.61 26248.11 34330.22 34883.82 22971.07 298
WTY-MVS49.39 31850.31 32146.62 33361.22 33632.00 34846.61 35049.77 34333.87 34454.12 34169.55 33641.96 28445.40 34931.28 34564.42 34862.47 345
Vis-MVSNet (Re-imp)62.74 25163.21 24361.34 28172.19 25631.56 34967.31 23953.87 32753.60 20869.88 25483.37 19740.52 29570.98 26941.40 29286.78 19081.48 187
KD-MVS_2432*160052.05 31151.58 31353.44 31252.11 37031.20 35044.88 35464.83 27841.53 30664.37 29070.03 33115.61 37864.20 30936.25 32574.61 30964.93 336
miper_refine_blended52.05 31151.58 31353.44 31252.11 37031.20 35044.88 35464.83 27841.53 30664.37 29070.03 33115.61 37864.20 30936.25 32574.61 30964.93 336
ECVR-MVScopyleft64.82 22665.22 22163.60 25678.80 16531.14 35266.97 24456.47 31854.23 19569.94 25388.68 10437.23 31274.81 23245.28 27489.41 14984.86 94
MIMVSNet54.39 29856.12 29649.20 32572.57 25330.91 35359.98 30948.43 34841.66 30555.94 33383.86 19141.19 28950.42 33826.05 35975.38 30466.27 328
baseline157.82 28558.36 28156.19 30669.17 28230.76 35462.94 29355.21 32246.04 27763.83 29678.47 25741.20 28863.68 31339.44 30168.99 33774.13 268
VPNet65.58 21967.56 20359.65 29379.72 14730.17 35560.27 30862.14 29154.19 19871.24 24086.63 14558.80 18667.62 29144.17 27990.87 11981.18 189
test111164.62 22965.19 22262.93 26779.01 16329.91 35665.45 26454.41 32654.09 20071.47 23988.48 10737.02 31374.29 23946.83 26589.94 13884.58 108
test0.0.03 147.72 32248.31 32445.93 33555.53 36329.39 35746.40 35141.21 36643.41 29755.81 33567.65 34629.22 35243.77 35825.73 36269.87 33364.62 338
MDTV_nov1_ep1354.05 30465.54 31129.30 35859.00 31455.22 32135.96 33452.44 34575.98 27830.77 34459.62 32538.21 31173.33 316
GG-mvs-BLEND52.24 31760.64 34029.21 35969.73 20042.41 35845.47 36052.33 36520.43 37068.16 28725.52 36365.42 34659.36 351
DSMNet-mixed43.18 33344.66 33438.75 35154.75 36628.88 36057.06 32227.42 37613.47 37047.27 35977.67 26738.83 30339.29 36625.32 36460.12 35648.08 360
gg-mvs-nofinetune55.75 29156.75 29152.72 31662.87 32728.04 36168.92 21041.36 36571.09 4450.80 35092.63 1220.74 36966.86 29729.97 35072.41 31963.25 341
test250661.23 26260.85 26262.38 27278.80 16527.88 36267.33 23837.42 37054.23 19567.55 27588.68 10417.87 37474.39 23746.33 26889.41 14984.86 94
ANet_high67.08 20869.94 17158.51 30057.55 35427.09 36358.43 31776.80 18763.56 10382.40 8991.93 2059.82 17664.98 30850.10 23888.86 15983.46 141
MVS-HIRNet45.53 32647.29 32640.24 34962.29 32926.82 36456.02 32637.41 37129.74 36043.69 36781.27 22033.96 32155.48 33224.46 36556.79 36238.43 368
tpm50.60 31452.42 31145.14 33965.18 31426.29 36560.30 30743.50 35537.41 32757.01 32779.09 25230.20 34942.32 36032.77 34166.36 34466.81 326
Patchmtry60.91 26463.01 24554.62 31066.10 30826.27 36667.47 23356.40 31954.05 20172.04 22886.66 14233.19 32460.17 32443.69 28087.45 17677.42 245
testgi54.00 30256.86 29045.45 33758.20 35225.81 36749.05 34149.50 34445.43 28167.84 27181.17 22251.81 23243.20 35929.30 35379.41 27767.34 322
tpmrst50.15 31651.38 31546.45 33456.05 35924.77 36864.40 27749.98 34236.14 33253.32 34469.59 33535.16 31848.69 34139.24 30358.51 36065.89 329
Patchmatch-test47.93 32149.96 32241.84 34657.42 35524.26 36948.75 34241.49 36439.30 31756.79 32973.48 30330.48 34633.87 36829.29 35472.61 31867.39 320
dp44.09 33244.88 33341.72 34858.53 35123.18 37054.70 33142.38 36034.80 33844.25 36565.61 35324.48 36444.80 35229.77 35149.42 36857.18 354
EPMVS45.74 32546.53 32843.39 34454.14 36922.33 37155.02 33035.00 37334.69 34051.09 34970.20 33025.92 35942.04 36237.19 31955.50 36565.78 330
ADS-MVSNet44.62 33045.58 32941.73 34755.90 36120.83 37247.34 34839.94 36831.41 35750.48 35172.06 31631.23 33839.31 36525.93 36055.93 36365.07 334
MDTV_nov1_ep13_2view18.41 37353.74 33331.57 35644.89 36229.90 35132.93 34071.48 292
PatchT53.35 30356.47 29343.99 34364.19 32117.46 37459.15 31243.10 35652.11 22254.74 33886.95 12929.97 35049.98 34043.62 28174.40 31164.53 340
new_pmnet37.55 33739.80 34030.79 35256.83 35616.46 37539.35 36030.65 37425.59 36645.26 36161.60 35824.54 36328.02 37121.60 36752.80 36747.90 361
DeepMVS_CXcopyleft11.83 35515.51 37713.86 37611.25 3805.76 37120.85 37326.46 37017.06 3769.22 3749.69 37313.82 37312.42 370
new-patchmatchnet52.89 30555.76 29844.26 34259.94 3446.31 37737.36 36450.76 34141.10 30864.28 29279.82 23844.77 26748.43 34236.24 32787.61 17178.03 241
PMMVS237.74 33640.87 33728.36 35342.41 3765.35 37824.61 36627.75 37532.15 35247.85 35770.27 32935.85 31729.51 37019.08 37067.85 34150.22 359
tmp_tt11.98 34114.73 3443.72 3562.28 3794.62 37919.44 36814.50 3790.47 37421.55 3729.58 37225.78 3604.57 37511.61 37227.37 3711.96 371
test_method19.26 33919.12 34319.71 3549.09 3781.91 3807.79 36953.44 3311.42 37210.27 37435.80 36917.42 37525.11 37312.44 37124.38 37232.10 369
test1234.43 3445.78 3470.39 3580.97 3800.28 38146.33 3520.45 3810.31 3750.62 3761.50 3750.61 3810.11 3770.56 3740.63 3740.77 373
testmvs4.06 3455.28 3480.41 3570.64 3810.16 38242.54 3560.31 3820.26 3760.50 3771.40 3760.77 3800.17 3760.56 3740.55 3750.90 372
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
cdsmvs_eth3d_5k17.71 34023.62 3420.00 3590.00 3820.00 3830.00 37070.17 2510.00 3770.00 37874.25 29768.16 1010.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas5.20 3436.93 3460.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37762.39 1500.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs-re5.62 3427.50 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37867.46 3470.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
PC_three_145246.98 27381.83 9386.28 15466.55 11884.47 7263.31 13990.78 12083.49 137
eth-test20.00 382
eth-test0.00 382
test_241102_TWO84.80 5172.61 3284.93 5689.70 8177.73 2385.89 3975.29 4594.22 5583.25 147
9.1480.22 5980.68 13880.35 7387.69 1159.90 13283.00 8088.20 11474.57 5181.75 11973.75 5693.78 61
test_0728_THIRD74.03 2385.83 4290.41 5975.58 3985.69 4477.43 3394.74 3184.31 119
GSMVS70.05 304
sam_mvs131.41 33670.05 304
sam_mvs31.21 340
MTGPAbinary80.63 128
test_post166.63 2492.08 37330.66 34559.33 32640.34 299
test_post1.99 37430.91 34354.76 334
patchmatchnet-post68.99 33831.32 33769.38 280
MTMP84.83 3319.26 378
test9_res72.12 7091.37 10177.40 246
agg_prior270.70 7790.93 11478.55 231
test_prior275.57 13158.92 14176.53 17086.78 13567.83 10569.81 8292.76 80
旧先验271.17 18445.11 28478.54 13361.28 32259.19 170
新几何271.33 180
无先验74.82 13970.94 24547.75 26876.85 20954.47 20772.09 288
原ACMM274.78 143
testdata267.30 29448.34 252
segment_acmp68.30 100
testdata168.34 22457.24 158
plane_prior585.49 3586.15 2871.09 7490.94 11284.82 96
plane_prior489.11 95
plane_prior282.74 5465.45 80
plane_prior184.46 86
n20.00 383
nn0.00 383
door-mid55.02 323
test1182.71 94
door52.91 335
HQP-NCC82.37 11777.32 11059.08 13771.58 232
ACMP_Plane82.37 11777.32 11059.08 13771.58 232
BP-MVS67.38 104
HQP4-MVS71.59 23185.31 5283.74 132
HQP3-MVS84.12 7589.16 152
HQP2-MVS58.09 193
ACMMP++_ref89.47 148
ACMMP++91.96 90
Test By Simon62.56 146