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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted 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
PMVScopyleft70.70 681.70 3683.15 3477.36 8590.35 682.82 282.15 5879.22 15174.08 2287.16 3091.97 1984.80 276.97 20564.98 12193.61 6572.28 286
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
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
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
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
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
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
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
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
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
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
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
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
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-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
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
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 4379.24 224
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 14683.81 4285.10 4672.48 3485.27 5389.96 7778.57 18
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
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
UniMVSNet_ETH3D76.74 8579.02 6869.92 19189.27 2043.81 26674.47 14971.70 22872.33 3785.50 4993.65 377.98 2276.88 20854.60 20691.64 9489.08 31
test_241102_TWO84.80 5172.61 3284.93 5689.70 8177.73 2385.89 3975.29 4594.22 5583.25 149
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
test_241102_ONE86.12 5961.06 14084.72 5572.64 3187.38 2589.47 8477.48 2485.74 43
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
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
#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
test_one_060185.84 6761.45 13785.63 3375.27 1985.62 4790.38 6476.72 29
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
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
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
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).
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 4179.44 222
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 6876.50 18951.98 22487.40 2491.86 2176.09 3578.53 17568.58 9090.20 12986.69 66
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
ZD-MVS83.91 9469.36 7681.09 12058.91 14482.73 8689.11 9575.77 3786.63 1372.73 6292.93 75
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
test_0728_THIRD74.03 2385.83 4290.41 5975.58 3985.69 4477.43 3394.74 3184.31 121
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.
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
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
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
test_040278.17 7679.48 6674.24 12383.50 9859.15 16272.52 16274.60 20875.34 1788.69 1391.81 2275.06 4482.37 10765.10 11988.68 16081.20 189
PS-CasMVS80.41 5282.86 3973.07 14289.93 739.21 30177.15 11581.28 11479.74 690.87 492.73 1175.03 4584.93 6263.83 13295.19 1695.07 3
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
PEN-MVS80.46 5182.91 3773.11 14189.83 939.02 30477.06 11782.61 9580.04 590.60 692.85 974.93 4785.21 5763.15 14195.15 1895.09 2
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
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
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
9.1480.22 5980.68 13880.35 7487.69 1159.90 13383.00 8088.20 11474.57 5181.75 11973.75 5693.78 61
MP-MVScopyleft83.19 2083.54 2682.14 2290.54 579.00 1186.42 2383.59 8271.31 4381.26 10290.96 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.
DTE-MVSNet80.35 5382.89 3872.74 15389.84 837.34 31977.16 11481.81 10480.45 490.92 392.95 774.57 5186.12 3063.65 13394.68 3394.76 6
XVG-OURS-SEG-HR79.62 5879.99 6178.49 6886.46 5274.79 3477.15 11585.39 4066.73 7080.39 11488.85 10274.43 5478.33 18574.73 4985.79 20082.35 175
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 8780.62 207
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
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
X-MVStestdata76.81 8474.79 10582.85 1089.43 1677.61 1886.80 1884.66 5872.71 2982.87 829.95 37273.86 5686.31 2078.84 2094.03 5784.64 104
jajsoiax78.51 7078.16 7879.59 5284.65 8273.83 4280.42 7176.12 19151.33 23287.19 2991.51 2973.79 5878.44 17968.27 9390.13 13486.49 68
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
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
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
wuyk23d61.97 25766.25 21549.12 32858.19 35460.77 14866.32 25252.97 33555.93 17490.62 586.91 13073.07 6235.98 36820.63 37091.63 9550.62 359
TranMVSNet+NR-MVSNet76.13 8977.66 8171.56 16784.61 8342.57 28070.98 18778.29 16968.67 5983.04 7989.26 8872.99 6380.75 14055.58 19995.47 1091.35 11
pmmvs671.82 15273.66 12366.31 23775.94 20542.01 28266.99 24372.53 22263.45 10676.43 17392.78 1072.95 6469.69 27851.41 22890.46 12687.22 57
DeepC-MVS72.44 481.00 4580.83 5681.50 2686.70 5070.03 7082.06 5987.00 1759.89 13480.91 10890.53 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
canonicalmvs72.29 14973.38 12869.04 20074.23 23047.37 24073.93 15483.18 8554.36 19376.61 16781.64 21972.03 6675.34 22457.12 18187.28 18184.40 118
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
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 10674.80 4793.04 7381.14 191
ETH3D cwj APD-0.1678.38 7478.72 7277.38 8480.09 14466.16 10179.08 9086.13 2757.55 15780.93 10687.76 12271.98 6982.73 10272.11 7192.83 7783.25 149
ETH3D-3000-0.179.14 6379.80 6377.16 8980.67 13964.57 11380.26 7687.60 1260.74 12782.47 8888.03 11971.73 7081.81 11773.12 5993.61 6585.09 89
DP-MVS78.44 7379.29 6775.90 10381.86 12765.33 10679.05 9184.63 6074.83 2080.41 11386.27 15571.68 7183.45 8862.45 14592.40 8578.92 228
nrg03074.87 10875.99 9671.52 16874.90 21649.88 21774.10 15382.58 9654.55 19183.50 7789.21 9071.51 7275.74 22061.24 15192.34 8688.94 36
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 8667.95 10092.44 8489.60 23
anonymousdsp78.60 6877.80 8081.00 3778.01 17574.34 3880.09 7976.12 19150.51 24189.19 1090.88 4071.45 7477.78 19773.38 5890.60 12590.90 16
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
RPSCF75.76 9374.37 11179.93 4674.81 21877.53 2077.53 10979.30 15059.44 13778.88 12889.80 8071.26 7673.09 24657.45 17980.89 26189.17 30
MVS_111021_HR72.98 13772.97 13972.99 14480.82 13765.47 10568.81 21372.77 21957.67 15475.76 17882.38 21071.01 7777.17 20361.38 15086.15 19676.32 252
AdaColmapbinary74.22 11374.56 10773.20 13981.95 12560.97 14279.43 8480.90 12465.57 7972.54 22381.76 21770.98 7885.26 5447.88 25790.00 13573.37 274
GeoE73.14 12873.77 12171.26 17178.09 17352.64 20174.32 15079.56 14856.32 17076.35 17583.36 19970.76 7977.96 19363.32 13981.84 24883.18 152
Regformer-275.32 9874.47 10977.88 7674.22 23166.65 9772.77 16077.54 17868.47 6180.44 11272.08 31370.60 8080.97 13470.08 8084.02 22686.01 74
AllTest77.66 7777.43 8278.35 7179.19 15770.81 6178.60 9588.64 365.37 8380.09 11788.17 11570.33 8178.43 18055.60 19690.90 11685.81 77
TestCases78.35 7179.19 15770.81 6188.64 365.37 8380.09 11788.17 11570.33 8178.43 18055.60 19690.90 11685.81 77
ITE_SJBPF80.35 4476.94 19173.60 4380.48 13266.87 6783.64 7686.18 15870.25 8379.90 15661.12 15488.95 15887.56 52
CDPH-MVS77.33 8077.06 8878.14 7484.21 9063.98 11976.07 12883.45 8354.20 19877.68 14787.18 12369.98 8485.37 5168.01 9792.72 8285.08 91
Effi-MVS+72.10 15072.28 14671.58 16674.21 23450.33 21074.72 14682.73 9362.62 11370.77 24776.83 27569.96 8580.97 13460.20 15978.43 28683.45 144
DROMVSNet77.08 8277.39 8376.14 10176.86 19556.87 17580.32 7587.52 1363.45 10674.66 19584.52 18269.87 8684.94 6169.76 8489.59 14586.60 67
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
CS-MVS76.42 8776.03 9477.57 7977.07 18663.35 12480.80 6782.77 9260.39 13074.11 20383.29 20169.71 8881.97 11469.28 8786.87 18787.38 55
CLD-MVS72.88 13972.36 14574.43 11977.03 18954.30 19068.77 21683.43 8452.12 22176.79 16474.44 29469.54 8983.91 7955.88 19493.25 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-174.28 11273.63 12476.21 10074.22 23164.12 11872.77 16075.46 19866.86 6879.27 12472.08 31369.29 9078.74 17168.73 8984.02 22685.77 82
LS3D80.99 4680.85 5581.41 3078.37 16971.37 5687.45 885.87 3277.48 1381.98 9189.95 7869.14 9185.26 5466.15 11191.24 10487.61 51
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
Regformer-474.64 11073.67 12277.55 8074.74 22064.49 11572.91 15875.42 19967.45 6380.24 11672.07 31568.98 9380.19 15370.29 7880.91 25987.98 46
MVS_111021_LR72.10 15071.82 15272.95 14679.53 15073.90 4170.45 19466.64 26756.87 16276.81 16381.76 21768.78 9471.76 26461.81 14683.74 23073.18 276
Fast-Effi-MVS+68.81 18668.30 19270.35 18074.66 22548.61 22366.06 25478.32 16750.62 24071.48 24075.54 28268.75 9579.59 16050.55 23678.73 28382.86 161
ETH3 D test640075.73 9476.00 9574.92 11481.75 12856.93 17378.31 9984.60 6252.83 21577.15 15185.14 17768.59 9684.03 7865.44 11890.20 12983.82 129
DeepPCF-MVS71.07 578.48 7277.14 8782.52 1984.39 8977.04 2576.35 12384.05 7656.66 16680.27 11585.31 17568.56 9787.03 1067.39 10591.26 10383.50 138
CP-MVSNet79.48 6081.65 5072.98 14589.66 1339.06 30376.76 11980.46 13378.91 890.32 791.70 2468.49 9884.89 6363.40 13895.12 1995.01 4
LCM-MVSNet-Re69.10 18371.57 15861.70 27670.37 27334.30 33961.45 29979.62 14456.81 16389.59 888.16 11768.44 9972.94 24742.30 28787.33 17977.85 244
CNVR-MVS78.49 7178.59 7478.16 7385.86 6667.40 8978.12 10581.50 10863.92 9977.51 14886.56 14868.43 10084.82 6573.83 5591.61 9682.26 178
segment_acmp68.30 101
cdsmvs_eth3d_5k17.71 34123.62 3430.00 3600.00 3830.00 3840.00 37170.17 2510.00 3780.00 37974.25 29868.16 1020.00 3790.00 3770.00 3770.00 375
WR-MVS_H80.22 5682.17 4574.39 12089.46 1542.69 27878.24 10282.24 9878.21 1089.57 992.10 1868.05 10385.59 4766.04 11395.62 994.88 5
test_djsdf78.88 6678.27 7680.70 4181.42 13271.24 5883.98 3975.72 19552.27 21987.37 2792.25 1668.04 10480.56 14172.28 6891.15 10790.32 20
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
test_prior376.71 8677.19 8575.27 11182.15 12259.85 15575.57 13284.33 6658.92 14276.53 17086.78 13567.83 10683.39 8969.81 8292.76 8082.58 169
test_prior275.57 13258.92 14276.53 17086.78 13567.83 10669.81 8292.76 80
NCCC78.25 7578.04 7978.89 6385.61 6869.45 7379.80 8380.99 12365.77 7775.55 18186.25 15767.42 10885.42 5070.10 7990.88 11881.81 184
baseline73.10 12973.96 11770.51 17871.46 26246.39 25072.08 16684.40 6555.95 17376.62 16686.46 15167.20 10978.03 19264.22 12687.27 18287.11 61
casdiffmvs73.06 13273.84 11870.72 17471.32 26346.71 24670.93 18884.26 7055.62 17677.46 14987.10 12467.09 11077.81 19563.95 12986.83 19087.64 50
Regformer-372.86 14072.28 14674.62 11674.74 22060.18 15272.91 15871.76 22764.74 9278.42 13472.07 31567.00 11176.28 21567.97 9980.91 25987.39 54
TAPA-MVS65.27 1275.16 10174.29 11377.77 7874.86 21768.08 8477.89 10684.04 7755.15 18076.19 17783.39 19566.91 11280.11 15460.04 16490.14 13385.13 88
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TEST985.47 6969.32 7776.42 12178.69 16053.73 20876.97 15486.74 13866.84 11381.10 128
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
OPU-MVS78.65 6683.44 10166.85 9583.62 4586.12 16266.82 11486.01 3161.72 14889.79 14283.08 154
XVG-OURS79.51 5979.82 6278.58 6786.11 6274.96 3376.33 12584.95 5066.89 6682.75 8588.99 9966.82 11478.37 18374.80 4790.76 12382.40 174
train_agg76.38 8876.55 8975.86 10485.47 6969.32 7776.42 12178.69 16054.00 20376.97 15486.74 13866.60 11781.10 12872.50 6691.56 9777.15 247
test_885.09 7567.89 8676.26 12678.66 16254.00 20376.89 15986.72 14066.60 11780.89 139
PC_three_145246.98 27381.83 9386.28 15466.55 11984.47 7163.31 14090.78 12083.49 139
agg_prior175.89 9076.41 9074.31 12284.44 8766.02 10276.12 12778.62 16354.40 19276.95 15686.85 13266.44 12080.34 14672.45 6791.42 10076.57 251
Anonymous2023121175.54 9677.19 8570.59 17677.67 18245.70 25674.73 14580.19 13868.80 5682.95 8192.91 866.26 12176.76 21158.41 17592.77 7989.30 26
EI-MVSNet-Vis-set72.78 14171.87 15075.54 10874.77 21959.02 16372.24 16471.56 23163.92 9978.59 13071.59 32166.22 12278.60 17367.58 10280.32 26789.00 34
EI-MVSNet-UG-set72.63 14471.68 15475.47 10974.67 22358.64 16872.02 16771.50 23263.53 10478.58 13271.39 32465.98 12378.53 17567.30 10880.18 26989.23 28
Anonymous2024052972.56 14573.79 12068.86 20776.89 19445.21 25868.80 21577.25 18467.16 6576.89 15990.44 5565.95 12474.19 24050.75 23390.00 13587.18 60
ETV-MVS72.72 14272.16 14974.38 12176.90 19355.95 17873.34 15684.67 5762.04 11772.19 22970.81 32565.90 12585.24 5658.64 17284.96 21481.95 182
TransMVSNet (Re)69.62 17371.63 15563.57 25776.51 19735.93 32765.75 26071.29 23861.05 12375.02 18689.90 7965.88 12670.41 27649.79 24089.48 14784.38 119
DeepC-MVS_fast69.89 777.17 8176.33 9279.70 5083.90 9567.94 8580.06 8183.75 7956.73 16574.88 18985.32 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
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 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
HPM-MVS++copyleft79.89 5779.80 6380.18 4589.02 2778.44 1383.49 4980.18 13964.71 9378.11 13988.39 10965.46 12983.14 9477.64 3291.20 10578.94 227
CS-MVS-test75.88 9175.24 10377.78 7777.30 18563.59 12277.02 11886.83 1960.82 12674.17 20179.23 24865.42 13082.29 11069.48 8686.87 18787.47 53
Fast-Effi-MVS+-dtu70.00 16868.74 18873.77 12973.47 24064.53 11471.36 18078.14 17155.81 17568.84 26774.71 29165.36 13175.75 21952.00 22479.00 28081.03 193
EGC-MVSNET64.77 22861.17 25975.60 10786.90 4774.47 3584.04 3868.62 2600.60 3741.13 37691.61 2765.32 13274.15 24164.01 12788.28 16178.17 238
MCST-MVS73.42 12373.34 13073.63 13281.28 13459.17 16174.80 14383.13 8745.50 27872.84 21883.78 19265.15 13380.99 13264.54 12389.09 15780.73 205
PCF-MVS63.80 1372.70 14371.69 15375.72 10578.10 17260.01 15473.04 15781.50 10845.34 28279.66 12084.35 18565.15 13382.65 10348.70 24989.38 15184.50 116
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
test1276.51 9482.28 12060.94 14381.64 10773.60 20864.88 13585.19 5990.42 12783.38 145
Effi-MVS+-dtu75.43 9772.28 14684.91 277.05 18783.58 178.47 9777.70 17657.68 15274.89 18878.13 26564.80 13684.26 7656.46 18885.32 20786.88 63
mvs-test173.81 11770.69 16883.18 577.05 18781.39 375.39 13477.70 17657.68 15271.19 24474.72 29064.80 13683.66 8356.46 18881.19 25784.50 116
VPA-MVSNet68.71 18870.37 17063.72 25576.13 20238.06 31364.10 27871.48 23356.60 16974.10 20488.31 11264.78 13869.72 27747.69 25990.15 13283.37 146
F-COLMAP75.29 9973.99 11679.18 5681.73 12971.90 5181.86 6282.98 8859.86 13572.27 22684.00 18964.56 13983.07 9751.48 22787.19 18482.56 171
DP-MVS Recon73.57 12172.69 14176.23 9982.85 11263.39 12374.32 15082.96 8957.75 15170.35 25181.98 21364.34 14084.41 7449.69 24189.95 13780.89 198
114514_t73.40 12473.33 13173.64 13184.15 9257.11 17278.20 10380.02 14143.76 29272.55 22286.07 16564.00 14183.35 9160.14 16291.03 11180.45 210
pm-mvs168.40 19169.85 17464.04 25373.10 24939.94 29864.61 27470.50 24855.52 17773.97 20689.33 8663.91 14268.38 28649.68 24288.02 16683.81 131
UniMVSNet_NR-MVSNet74.90 10775.65 9872.64 15683.04 10845.79 25269.26 20678.81 15766.66 7281.74 9686.88 13163.26 14381.07 13056.21 19194.98 2191.05 13
MSLP-MVS++74.48 11175.78 9770.59 17684.66 8162.40 12978.65 9484.24 7160.55 12977.71 14681.98 21363.12 14477.64 19962.95 14288.14 16371.73 291
UniMVSNet (Re)75.00 10475.48 10173.56 13383.14 10347.92 23270.41 19581.04 12263.67 10279.54 12186.37 15362.83 14581.82 11657.10 18295.25 1590.94 15
MIMVSNet166.57 21269.23 17958.59 30081.26 13537.73 31664.06 27957.62 30957.02 16078.40 13590.75 4562.65 14658.10 33041.77 29289.58 14679.95 216
xiu_mvs_v2_base64.43 23463.96 23565.85 24177.72 18151.32 20663.63 28572.31 22545.06 28661.70 30669.66 33562.56 14773.93 24349.06 24673.91 31472.31 285
Test By Simon62.56 147
Vis-MVSNetpermissive74.85 10974.56 10775.72 10581.63 13164.64 11276.35 12379.06 15362.85 11273.33 21388.41 10862.54 14979.59 16063.94 13182.92 23782.94 158
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
NR-MVSNet73.62 12074.05 11572.33 16283.50 9843.71 26765.65 26177.32 18264.32 9675.59 18087.08 12562.45 15081.34 12254.90 20295.63 891.93 8
pcd_1.5k_mvsjas5.20 3446.93 3470.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 37862.39 1510.00 3790.00 3770.00 3770.00 375
PS-MVSNAJss77.54 7877.35 8478.13 7584.88 7766.37 9978.55 9679.59 14753.48 21086.29 3592.43 1562.39 15180.25 14967.90 10190.61 12487.77 48
PS-MVSNAJ64.27 23763.73 23865.90 24077.82 17951.42 20563.33 28872.33 22445.09 28561.60 30768.04 34662.39 15173.95 24249.07 24573.87 31572.34 284
PHI-MVS74.92 10574.36 11276.61 9276.40 19862.32 13180.38 7283.15 8654.16 20073.23 21580.75 22662.19 15483.86 8068.02 9690.92 11583.65 136
MVS_Test69.84 17170.71 16767.24 22667.49 29743.25 27469.87 19981.22 11752.69 21771.57 23786.68 14162.09 15574.51 23566.05 11278.74 28283.96 127
CSCG74.12 11474.39 11073.33 13679.35 15261.66 13677.45 11081.98 10262.47 11679.06 12780.19 23561.83 15678.79 17059.83 16687.35 17879.54 221
DU-MVS74.91 10675.57 10072.93 14783.50 9845.79 25269.47 20380.14 14065.22 8681.74 9687.08 12561.82 15781.07 13056.21 19194.98 2191.93 8
Baseline_NR-MVSNet70.62 16273.19 13262.92 26876.97 19034.44 33768.84 21170.88 24660.25 13179.50 12290.53 5261.82 15769.11 28254.67 20595.27 1485.22 85
原ACMM173.90 12785.90 6365.15 11081.67 10650.97 23674.25 20086.16 16061.60 15983.54 8556.75 18391.08 11073.00 277
PAPR69.20 18168.66 19070.82 17375.15 21347.77 23475.31 13581.11 11849.62 25166.33 28179.27 24761.53 16082.96 9848.12 25581.50 25581.74 185
API-MVS70.97 15971.51 15969.37 19475.20 21155.94 17980.99 6576.84 18662.48 11571.24 24277.51 27161.51 16180.96 13852.04 22385.76 20171.22 296
xiu_mvs_v1_base_debu67.87 19867.07 21070.26 18179.13 15961.90 13367.34 23571.25 23947.98 26367.70 27274.19 30061.31 16272.62 25156.51 18578.26 28876.27 253
xiu_mvs_v1_base67.87 19867.07 21070.26 18179.13 15961.90 13367.34 23571.25 23947.98 26367.70 27274.19 30061.31 16272.62 25156.51 18578.26 28876.27 253
xiu_mvs_v1_base_debi67.87 19867.07 21070.26 18179.13 15961.90 13367.34 23571.25 23947.98 26367.70 27274.19 30061.31 16272.62 25156.51 18578.26 28876.27 253
CNLPA73.44 12273.03 13774.66 11578.27 17075.29 3175.99 12978.49 16565.39 8275.67 17983.22 20561.23 16566.77 30053.70 21785.33 20681.92 183
MSDG67.47 20567.48 20667.46 22470.70 26854.69 18866.90 24678.17 17060.88 12570.41 25074.76 28861.22 16673.18 24547.38 26076.87 29474.49 266
CANet73.00 13571.84 15176.48 9575.82 20661.28 13874.81 14180.37 13663.17 11062.43 30580.50 23061.10 16785.16 6064.00 12884.34 22283.01 157
EG-PatchMatch MVS70.70 16170.88 16570.16 18482.64 11658.80 16571.48 17773.64 21254.98 18176.55 16881.77 21661.10 16778.94 16754.87 20380.84 26272.74 281
HQP_MVS78.77 6778.78 7178.72 6485.18 7265.18 10882.74 5485.49 3565.45 8078.23 13689.11 9560.83 16986.15 2871.09 7490.94 11284.82 98
plane_prior684.18 9165.31 10760.83 169
FMVSNet171.06 15772.48 14366.81 23177.65 18340.68 29271.96 16973.03 21461.14 12279.45 12390.36 6760.44 17175.20 22650.20 23888.05 16584.54 111
EIA-MVS68.59 19067.16 20972.90 14875.18 21255.64 18369.39 20481.29 11352.44 21864.53 28970.69 32660.33 17282.30 10954.27 21276.31 29780.75 204
BH-untuned69.39 17869.46 17569.18 19877.96 17656.88 17468.47 22377.53 17956.77 16477.79 14479.63 24260.30 17380.20 15246.04 27080.65 26470.47 301
patch_mono-262.73 25264.08 23458.68 29970.36 27455.87 18060.84 30564.11 28341.23 30864.04 29478.22 26260.00 17448.80 34154.17 21383.71 23271.37 293
PAPM_NR73.91 11574.16 11473.16 14081.90 12653.50 19681.28 6481.40 11166.17 7573.30 21483.31 20059.96 17583.10 9658.45 17481.66 25382.87 160
VDDNet71.60 15473.13 13467.02 23086.29 5341.11 28769.97 19766.50 26868.72 5874.74 19191.70 2459.90 17675.81 21848.58 25191.72 9184.15 125
VDD-MVS70.81 16071.44 16068.91 20679.07 16246.51 24767.82 22970.83 24761.23 12174.07 20588.69 10359.86 17775.62 22151.11 23090.28 12884.61 107
ANet_high67.08 20869.94 17258.51 30157.55 35527.09 36458.43 31876.80 18763.56 10382.40 8991.93 2059.82 17864.98 30850.10 23988.86 15983.46 143
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 17987.58 473.06 6091.34 10289.01 33
PLCcopyleft62.01 1671.79 15370.28 17176.33 9780.31 14368.63 8278.18 10481.24 11554.57 19067.09 27980.63 22859.44 18081.74 12046.91 26484.17 22378.63 229
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TinyColmap67.98 19769.28 17764.08 25167.98 29246.82 24470.04 19675.26 20253.05 21277.36 15086.79 13459.39 18172.59 25445.64 27288.01 16772.83 279
FC-MVSNet-test73.32 12674.78 10668.93 20579.21 15636.57 32171.82 17579.54 14957.63 15682.57 8790.38 6459.38 18278.99 16657.91 17894.56 3591.23 12
V4271.06 15770.83 16671.72 16567.25 29847.14 24365.94 25580.35 13751.35 23183.40 7883.23 20359.25 18378.80 16965.91 11480.81 26389.23 28
BH-RMVSNet68.69 18968.20 19770.14 18576.40 19853.90 19464.62 27373.48 21358.01 14873.91 20781.78 21559.09 18478.22 18748.59 25077.96 29178.31 234
alignmvs70.54 16371.00 16469.15 19973.50 23948.04 23169.85 20079.62 14453.94 20676.54 16982.00 21259.00 18574.68 23357.32 18087.21 18384.72 102
DELS-MVS68.83 18568.31 19170.38 17970.55 27248.31 22563.78 28382.13 9954.00 20368.96 26475.17 28658.95 18680.06 15558.55 17382.74 23982.76 164
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
VPNet65.58 21967.56 20359.65 29379.72 14730.17 35660.27 30962.14 29254.19 19971.24 24286.63 14558.80 18767.62 29144.17 28090.87 11981.18 190
mvs_anonymous65.08 22465.49 22063.83 25463.79 32437.60 31766.52 25169.82 25243.44 29673.46 21186.08 16458.79 18871.75 26551.90 22575.63 30182.15 179
v1075.69 9576.20 9374.16 12474.44 22948.69 22175.84 13182.93 9059.02 14185.92 4089.17 9358.56 18982.74 10170.73 7689.14 15591.05 13
diffmvs67.42 20667.50 20567.20 22762.26 33145.21 25864.87 27077.04 18548.21 26171.74 23179.70 24158.40 19071.17 26864.99 12080.27 26885.22 85
FIs72.56 14573.80 11968.84 20878.74 16737.74 31571.02 18679.83 14356.12 17180.88 10989.45 8558.18 19178.28 18656.63 18493.36 7090.51 19
EI-MVSNet69.61 17469.01 18371.41 17073.94 23649.90 21471.31 18271.32 23658.22 14675.40 18470.44 32758.16 19275.85 21662.51 14379.81 27388.48 43
IterMVS-LS73.01 13473.12 13572.66 15573.79 23849.90 21471.63 17678.44 16658.22 14680.51 11186.63 14558.15 19379.62 15862.51 14388.20 16288.48 43
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
HQP2-MVS58.09 194
HQP-MVS75.24 10075.01 10475.94 10282.37 11758.80 16577.32 11184.12 7459.08 13871.58 23485.96 16758.09 19485.30 5367.38 10689.16 15283.73 135
v875.07 10375.64 9973.35 13573.42 24147.46 23975.20 13681.45 11060.05 13285.64 4489.26 8858.08 19681.80 11869.71 8587.97 16890.79 17
v114473.29 12773.39 12773.01 14374.12 23548.11 22972.01 16881.08 12153.83 20781.77 9484.68 17958.07 19781.91 11568.10 9486.86 18988.99 35
v14419272.99 13673.06 13672.77 15174.58 22747.48 23871.90 17380.44 13451.57 22881.46 10084.11 18858.04 19882.12 11367.98 9887.47 17588.70 42
ab-mvs64.11 23865.13 22661.05 28371.99 25938.03 31467.59 23068.79 25749.08 25665.32 28686.26 15658.02 19966.85 29839.33 30379.79 27578.27 236
Gipumacopyleft69.55 17572.83 14059.70 29263.63 32653.97 19280.08 8075.93 19364.24 9773.49 21088.93 10157.89 20062.46 31759.75 16791.55 9862.67 345
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
TSAR-MVS + GP.73.08 13071.60 15777.54 8178.99 16470.73 6374.96 13869.38 25460.73 12874.39 19978.44 25957.72 20182.78 10060.16 16189.60 14479.11 226
WR-MVS71.20 15672.48 14367.36 22584.98 7635.70 32964.43 27668.66 25865.05 8981.49 9986.43 15257.57 20276.48 21350.36 23793.32 7189.90 21
LF4IMVS67.50 20367.31 20868.08 21758.86 35061.93 13271.43 17875.90 19444.67 28772.42 22580.20 23457.16 20370.44 27458.99 17186.12 19771.88 289
OurMVSNet-221017-078.57 6978.53 7578.67 6580.48 14164.16 11780.24 7782.06 10061.89 11888.77 1293.32 457.15 20482.60 10470.08 8092.80 7889.25 27
v119273.40 12473.42 12673.32 13774.65 22648.67 22272.21 16581.73 10552.76 21681.85 9284.56 18157.12 20582.24 11268.58 9087.33 17989.06 32
MSP-MVS80.49 5079.67 6582.96 789.70 1277.46 2387.16 1285.10 4664.94 9081.05 10488.38 11057.10 20687.10 879.75 883.87 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
tfpnnormal66.48 21367.93 19962.16 27473.40 24236.65 32063.45 28664.99 27655.97 17272.82 21987.80 12157.06 20769.10 28348.31 25487.54 17280.72 206
MAR-MVS67.72 20166.16 21672.40 16074.45 22864.99 11174.87 13977.50 18048.67 25865.78 28568.58 34557.01 20877.79 19646.68 26781.92 24674.42 267
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
KD-MVS_self_test66.38 21467.51 20462.97 26661.76 33334.39 33858.11 32075.30 20150.84 23877.12 15385.42 17356.84 20969.44 27951.07 23191.16 10685.08 91
XXY-MVS55.19 29657.40 28848.56 33064.45 32134.84 33651.54 33953.59 33038.99 32163.79 29879.43 24456.59 21045.57 34836.92 32371.29 32565.25 334
v192192072.96 13872.98 13872.89 14974.67 22347.58 23771.92 17280.69 12751.70 22781.69 9883.89 19056.58 21182.25 11168.34 9287.36 17788.82 39
VNet64.01 24065.15 22560.57 28773.28 24435.61 33057.60 32267.08 26554.61 18966.76 28083.37 19756.28 21266.87 29642.19 28885.20 20979.23 225
v124073.06 13273.14 13372.84 15074.74 22047.27 24271.88 17481.11 11851.80 22582.28 9084.21 18656.22 21382.34 10868.82 8887.17 18588.91 37
MG-MVS70.47 16471.34 16167.85 21979.26 15440.42 29674.67 14875.15 20458.41 14568.74 26888.14 11856.08 21483.69 8259.90 16581.71 25279.43 223
test_part176.97 8378.21 7773.25 13877.87 17745.76 25478.27 10187.26 1566.69 7185.31 5291.43 3255.95 21584.24 7765.71 11595.43 1289.75 22
v2v48272.55 14772.58 14272.43 15972.92 25346.72 24571.41 17979.13 15255.27 17881.17 10385.25 17655.41 21681.13 12767.25 10985.46 20289.43 25
3Dnovator65.95 1171.50 15571.22 16272.34 16173.16 24563.09 12778.37 9878.32 16757.67 15472.22 22884.61 18054.77 21778.47 17760.82 15781.07 25875.45 258
v14869.38 17969.39 17669.36 19569.14 28444.56 26168.83 21272.70 22054.79 18578.59 13084.12 18754.69 21876.74 21259.40 16982.20 24386.79 64
旧先验184.55 8460.36 15163.69 28587.05 12854.65 21983.34 23469.66 309
c3_l69.82 17269.89 17369.61 19366.24 30643.48 27068.12 22679.61 14651.43 23077.72 14580.18 23654.61 22078.15 19163.62 13487.50 17487.20 59
BH-w/o64.81 22764.29 23366.36 23676.08 20454.71 18765.61 26275.23 20350.10 24571.05 24671.86 32054.33 22179.02 16538.20 31376.14 29865.36 333
ambc70.10 18777.74 18050.21 21274.28 15277.93 17579.26 12588.29 11354.11 22279.77 15764.43 12491.10 10980.30 212
QAPM69.18 18269.26 17868.94 20471.61 26152.58 20280.37 7378.79 15949.63 25073.51 20985.14 17753.66 22379.12 16455.11 20175.54 30275.11 262
miper_ehance_all_eth68.36 19268.16 19868.98 20265.14 31743.34 27267.07 24278.92 15649.11 25576.21 17677.72 26853.48 22477.92 19461.16 15384.59 21885.68 83
IS-MVSNet75.10 10275.42 10274.15 12579.23 15548.05 23079.43 8478.04 17270.09 5279.17 12688.02 12053.04 22583.60 8458.05 17793.76 6490.79 17
112169.23 18068.26 19372.12 16488.36 3771.40 5568.59 21862.06 29543.80 29174.75 19086.18 15852.92 22676.85 20954.47 20783.27 23568.12 318
新几何169.99 18988.37 3671.34 5762.08 29443.85 29074.99 18786.11 16352.85 22770.57 27250.99 23283.23 23668.05 319
OpenMVScopyleft62.51 1568.76 18768.75 18768.78 20970.56 27153.91 19378.29 10077.35 18148.85 25770.22 25383.52 19352.65 22876.93 20655.31 20081.99 24575.49 257
UGNet70.20 16669.05 18173.65 13076.24 20063.64 12075.87 13072.53 22261.48 12060.93 31586.14 16152.37 22977.12 20450.67 23485.21 20880.17 215
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
Anonymous20240521166.02 21566.89 21363.43 26074.22 23138.14 31159.00 31566.13 26963.33 10969.76 25885.95 16851.88 23070.50 27344.23 27987.52 17381.64 186
PVSNet_BlendedMVS65.38 22064.30 23268.61 21069.81 27749.36 21865.60 26378.96 15445.50 27859.98 31878.61 25751.82 23178.20 18844.30 27784.11 22478.27 236
PVSNet_Blended62.90 24961.64 25466.69 23469.81 27749.36 21861.23 30278.96 15442.04 30359.98 31868.86 34351.82 23178.20 18844.30 27777.77 29372.52 282
testgi54.00 30356.86 29145.45 33858.20 35325.81 36849.05 34249.50 34545.43 28167.84 27181.17 22351.81 23343.20 36029.30 35479.41 27867.34 323
EPNet69.10 18367.32 20774.46 11768.33 28861.27 13977.56 10863.57 28660.95 12456.62 33182.75 20651.53 23481.24 12554.36 21190.20 12980.88 199
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PVSNet_Blended_VisFu70.04 16768.88 18473.53 13482.71 11463.62 12174.81 14181.95 10348.53 26067.16 27879.18 25151.42 23578.38 18254.39 21079.72 27678.60 230
DPM-MVS69.98 16969.22 18072.26 16382.69 11558.82 16470.53 19281.23 11647.79 26764.16 29380.21 23351.32 23683.12 9560.14 16284.95 21574.83 264
TR-MVS64.59 23063.54 24067.73 22375.75 20850.83 20863.39 28770.29 25049.33 25271.55 23874.55 29250.94 23778.46 17840.43 29975.69 30073.89 271
CL-MVSNet_self_test62.44 25563.40 24159.55 29472.34 25632.38 34656.39 32464.84 27751.21 23467.46 27681.01 22550.75 23863.51 31538.47 31188.12 16482.75 165
MVS60.62 26959.97 26962.58 27068.13 29047.28 24168.59 21873.96 21132.19 35159.94 32068.86 34350.48 23977.64 19941.85 29175.74 29962.83 343
SixPastTwentyTwo75.77 9276.34 9174.06 12681.69 13054.84 18676.47 12075.49 19764.10 9887.73 1892.24 1750.45 24081.30 12467.41 10491.46 9986.04 73
PatchMatch-RL58.68 28257.72 28561.57 27776.21 20173.59 4461.83 29749.00 34747.30 27161.08 31168.97 34050.16 24159.01 32736.06 33068.84 33952.10 358
eth_miper_zixun_eth69.42 17768.73 18971.50 16967.99 29146.42 24867.58 23178.81 15750.72 23978.13 13880.34 23250.15 24280.34 14660.18 16084.65 21687.74 49
miper_enhance_ethall65.86 21665.05 23168.28 21661.62 33542.62 27964.74 27177.97 17342.52 30173.42 21272.79 31049.66 24377.68 19858.12 17684.59 21884.54 111
K. test v373.67 11973.61 12573.87 12879.78 14655.62 18474.69 14762.04 29766.16 7684.76 6193.23 549.47 24480.97 13465.66 11686.67 19385.02 93
EPP-MVSNet73.86 11673.38 12875.31 11078.19 17153.35 19880.45 7077.32 18265.11 8876.47 17286.80 13349.47 24483.77 8153.89 21592.72 8288.81 40
cascas64.59 23062.77 24870.05 18875.27 21050.02 21361.79 29871.61 22942.46 30263.68 29968.89 34249.33 24680.35 14547.82 25884.05 22579.78 219
h-mvs3373.08 13071.61 15677.48 8283.89 9672.89 4970.47 19371.12 24354.28 19477.89 14083.41 19449.04 24780.98 13363.62 13490.77 12278.58 231
hse-mvs272.32 14870.66 16977.31 8783.10 10771.77 5269.19 20871.45 23454.28 19477.89 14078.26 26149.04 24779.23 16263.62 13489.13 15680.92 197
MDA-MVSNet-bldmvs62.34 25661.73 25264.16 24961.64 33449.90 21448.11 34657.24 31553.31 21180.95 10579.39 24549.00 24961.55 32145.92 27180.05 27081.03 193
testdata64.13 25085.87 6563.34 12561.80 29847.83 26676.42 17486.60 14748.83 25062.31 31954.46 20981.26 25666.74 328
cl____68.26 19668.26 19368.29 21464.98 31843.67 26865.89 25674.67 20650.04 24676.86 16182.42 20948.74 25175.38 22260.92 15689.81 14085.80 81
DIV-MVS_self_test68.27 19568.26 19368.29 21464.98 31843.67 26865.89 25674.67 20650.04 24676.86 16182.43 20848.74 25175.38 22260.94 15589.81 14085.81 77
GBi-Net68.30 19368.79 18566.81 23173.14 24640.68 29271.96 16973.03 21454.81 18274.72 19290.36 6748.63 25375.20 22647.12 26185.37 20384.54 111
test168.30 19368.79 18566.81 23173.14 24640.68 29271.96 16973.03 21454.81 18274.72 19290.36 6748.63 25375.20 22647.12 26185.37 20384.54 111
FMVSNet267.48 20468.21 19665.29 24273.14 24638.94 30568.81 21371.21 24254.81 18276.73 16586.48 15048.63 25374.60 23447.98 25686.11 19882.35 175
test22287.30 4169.15 8067.85 22859.59 30441.06 31073.05 21785.72 17148.03 25680.65 26466.92 324
OpenMVS_ROBcopyleft54.93 1763.23 24563.28 24263.07 26469.81 27745.34 25768.52 22167.14 26443.74 29370.61 24979.22 24947.90 25772.66 25048.75 24873.84 31671.21 297
lessismore_v072.75 15279.60 14956.83 17657.37 31283.80 7489.01 9847.45 25878.74 17164.39 12586.49 19582.69 167
TAMVS65.31 22163.75 23769.97 19082.23 12159.76 15766.78 24863.37 28745.20 28369.79 25779.37 24647.42 25972.17 25734.48 33585.15 21077.99 243
PM-MVS64.49 23263.61 23967.14 22976.68 19675.15 3268.49 22242.85 35851.17 23577.85 14280.51 22945.76 26066.31 30352.83 22276.35 29659.96 351
MVS_030462.51 25462.27 25163.25 26169.39 28148.47 22464.05 28062.48 29059.69 13654.10 34381.04 22445.71 26166.31 30341.38 29482.58 24174.96 263
USDC62.80 25063.10 24561.89 27565.19 31443.30 27367.42 23474.20 21035.80 33672.25 22784.48 18345.67 26271.95 26237.95 31584.97 21170.42 303
test20.0355.74 29357.51 28750.42 32159.89 34632.09 34850.63 34049.01 34650.11 24465.07 28883.23 20345.61 26348.11 34430.22 34983.82 22971.07 299
cl2267.14 20766.51 21469.03 20163.20 32743.46 27166.88 24776.25 19049.22 25374.48 19777.88 26745.49 26477.40 20160.64 15884.59 21886.24 69
IterMVS-SCA-FT67.68 20266.07 21772.49 15873.34 24358.20 17063.80 28265.55 27348.10 26276.91 15882.64 20745.20 26578.84 16861.20 15277.89 29280.44 211
SCA58.57 28358.04 28360.17 29070.17 27541.07 28865.19 26753.38 33343.34 29961.00 31473.48 30445.20 26569.38 28040.34 30070.31 33170.05 305
1112_ss59.48 27658.99 27660.96 28577.84 17842.39 28161.42 30068.45 26137.96 32659.93 32167.46 34845.11 26765.07 30740.89 29771.81 32375.41 259
new-patchmatchnet52.89 30655.76 29944.26 34359.94 3456.31 37837.36 36550.76 34241.10 30964.28 29279.82 23944.77 26848.43 34336.24 32887.61 17178.03 241
jason64.47 23362.84 24769.34 19776.91 19259.20 15867.15 24065.67 27035.29 33765.16 28776.74 27644.67 26970.68 27054.74 20479.28 27978.14 239
jason: jason.
IterMVS63.12 24662.48 25065.02 24566.34 30552.86 19963.81 28162.25 29146.57 27571.51 23980.40 23144.60 27066.82 29951.38 22975.47 30375.38 260
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PAPM61.79 26060.37 26766.05 23876.09 20341.87 28369.30 20576.79 18840.64 31453.80 34479.62 24344.38 27182.92 9929.64 35373.11 31873.36 275
HY-MVS49.31 1957.96 28557.59 28659.10 29666.85 30236.17 32465.13 26865.39 27439.24 31954.69 34078.14 26444.28 27267.18 29533.75 33970.79 32873.95 270
CANet_DTU64.04 23963.83 23664.66 24668.39 28542.97 27673.45 15574.50 20952.05 22354.78 33875.44 28543.99 27370.42 27553.49 21978.41 28780.59 208
LFMVS67.06 20967.89 20064.56 24778.02 17438.25 31070.81 19159.60 30365.18 8771.06 24586.56 14843.85 27475.22 22546.35 26889.63 14380.21 214
pmmvs-eth3d64.41 23563.27 24367.82 22175.81 20760.18 15269.49 20262.05 29638.81 32274.13 20282.23 21143.76 27568.65 28442.53 28680.63 26674.63 265
131459.83 27458.86 27762.74 26965.71 31144.78 26068.59 21872.63 22133.54 34961.05 31367.29 35143.62 27671.26 26749.49 24367.84 34372.19 287
CDS-MVSNet64.33 23662.66 24969.35 19680.44 14258.28 16965.26 26665.66 27144.36 28867.30 27775.54 28243.27 27771.77 26337.68 31684.44 22178.01 242
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSFormer69.93 17069.03 18272.63 15774.93 21459.19 15983.98 3975.72 19552.27 21963.53 30176.74 27643.19 27880.56 14172.28 6878.67 28478.14 239
lupinMVS63.36 24261.49 25768.97 20374.93 21459.19 15965.80 25964.52 28134.68 34263.53 30174.25 29843.19 27870.62 27153.88 21678.67 28477.10 248
Test_1112_low_res58.78 28158.69 27859.04 29779.41 15138.13 31257.62 32166.98 26634.74 34059.62 32277.56 27042.92 28063.65 31438.66 30870.73 32975.35 261
test_yl65.11 22265.09 22865.18 24370.59 26940.86 28963.22 29172.79 21757.91 14968.88 26579.07 25442.85 28174.89 23045.50 27384.97 21179.81 217
DCV-MVSNet65.11 22265.09 22865.18 24370.59 26940.86 28963.22 29172.79 21757.91 14968.88 26579.07 25442.85 28174.89 23045.50 27384.97 21179.81 217
PMMVS44.69 33043.95 33746.92 33250.05 37453.47 19748.08 34742.40 36022.36 37044.01 36753.05 36542.60 28345.49 34931.69 34461.36 35441.79 366
Anonymous2023120654.13 30055.82 29849.04 32970.89 26535.96 32651.73 33850.87 34134.86 33862.49 30479.22 24942.52 28444.29 35627.95 35881.88 24766.88 325
WTY-MVS49.39 31950.31 32246.62 33461.22 33732.00 34946.61 35149.77 34433.87 34554.12 34269.55 33741.96 28545.40 35031.28 34664.42 34962.47 346
UnsupCasMVSNet_eth52.26 31053.29 30849.16 32755.08 36533.67 34250.03 34158.79 30637.67 32763.43 30374.75 28941.82 28645.83 34738.59 31059.42 35867.98 320
UnsupCasMVSNet_bld50.01 31851.03 32046.95 33158.61 35132.64 34548.31 34453.27 33434.27 34360.47 31671.53 32241.40 28747.07 34530.68 34760.78 35561.13 349
ppachtmachnet_test60.26 27259.61 27262.20 27367.70 29544.33 26358.18 31960.96 30040.75 31365.80 28472.57 31141.23 28863.92 31246.87 26582.42 24278.33 233
baseline157.82 28658.36 28256.19 30769.17 28330.76 35562.94 29355.21 32346.04 27763.83 29778.47 25841.20 28963.68 31339.44 30268.99 33874.13 268
MIMVSNet54.39 29956.12 29749.20 32672.57 25430.91 35459.98 31048.43 34941.66 30555.94 33483.86 19141.19 29050.42 33826.05 36075.38 30566.27 329
CHOSEN 1792x268858.09 28456.30 29563.45 25979.95 14550.93 20754.07 33365.59 27228.56 36261.53 30874.33 29541.09 29166.52 30233.91 33867.69 34472.92 278
YYNet152.58 30753.50 30649.85 32254.15 36936.45 32340.53 35946.55 35338.09 32575.52 18273.31 30741.08 29243.88 35741.10 29571.14 32769.21 314
MDA-MVSNet_test_wron52.57 30853.49 30749.81 32354.24 36836.47 32240.48 36046.58 35238.13 32475.47 18373.32 30641.05 29343.85 35840.98 29671.20 32669.10 316
PVSNet_036.71 2241.12 33640.78 33942.14 34659.97 34440.13 29740.97 35842.24 36330.81 36044.86 36449.41 36840.70 29445.12 35223.15 36734.96 37141.16 367
bset_n11_16_dypcd66.91 21165.84 21970.12 18672.95 25253.54 19563.64 28468.65 25948.54 25972.54 22374.28 29740.58 29578.54 17463.52 13787.82 17078.29 235
Vis-MVSNet (Re-imp)62.74 25163.21 24461.34 28172.19 25731.56 35067.31 23953.87 32853.60 20969.88 25683.37 19740.52 29670.98 26941.40 29386.78 19281.48 188
sss47.59 32448.32 32445.40 33956.73 35933.96 34045.17 35448.51 34832.11 35552.37 34765.79 35340.39 29741.91 36431.85 34361.97 35360.35 350
our_test_356.46 28956.51 29356.30 30667.70 29539.66 30055.36 33052.34 33840.57 31563.85 29669.91 33440.04 29858.22 32943.49 28475.29 30771.03 300
Anonymous2024052163.55 24166.07 21755.99 30866.18 30844.04 26568.77 21668.80 25646.99 27272.57 22185.84 16939.87 29950.22 33953.40 22192.23 8873.71 273
miper_lstm_enhance61.97 25761.63 25562.98 26560.04 34345.74 25547.53 34870.95 24444.04 28973.06 21678.84 25639.72 30060.33 32355.82 19584.64 21782.88 159
pmmvs460.78 26759.04 27566.00 23973.06 25157.67 17164.53 27560.22 30136.91 33165.96 28277.27 27239.66 30168.54 28538.87 30674.89 30871.80 290
MVP-Stereo61.56 26159.22 27368.58 21179.28 15360.44 15069.20 20771.57 23043.58 29556.42 33278.37 26039.57 30276.46 21434.86 33460.16 35668.86 317
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
FPMVS59.43 27760.07 26857.51 30477.62 18471.52 5462.33 29550.92 34057.40 15869.40 25980.00 23739.14 30361.92 32037.47 31966.36 34539.09 368
DSMNet-mixed43.18 33444.66 33538.75 35254.75 36728.88 36157.06 32327.42 37713.47 37147.27 36077.67 26938.83 30439.29 36725.32 36560.12 35748.08 361
HyFIR lowres test63.01 24760.47 26670.61 17583.04 10854.10 19159.93 31172.24 22633.67 34769.00 26275.63 28138.69 30576.93 20636.60 32475.45 30480.81 203
MVEpermissive27.91 2336.69 33935.64 34239.84 35143.37 37635.85 32819.49 36824.61 37824.68 36839.05 37062.63 35838.67 30627.10 37321.04 36947.25 37056.56 356
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
EPNet_dtu58.93 28058.52 27960.16 29167.91 29347.70 23669.97 19758.02 30749.73 24847.28 35973.02 30938.14 30762.34 31836.57 32585.99 19970.43 302
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
pmmvs552.49 30952.58 31152.21 31954.99 36632.38 34655.45 32953.84 32932.15 35355.49 33774.81 28738.08 30857.37 33134.02 33774.40 31266.88 325
N_pmnet52.06 31151.11 31954.92 31059.64 34871.03 5937.42 36461.62 29933.68 34657.12 32772.10 31237.94 30931.03 37029.13 35771.35 32462.70 344
CMPMVSbinary48.73 2061.54 26260.89 26263.52 25861.08 33851.55 20468.07 22768.00 26333.88 34465.87 28381.25 22237.91 31067.71 28949.32 24482.60 24071.31 295
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
FMVSNet365.00 22565.16 22364.52 24869.47 28037.56 31866.63 24970.38 24951.55 22974.72 19283.27 20237.89 31174.44 23647.12 26185.37 20381.57 187
AUN-MVS70.22 16567.88 20177.22 8882.96 11171.61 5369.08 20971.39 23549.17 25471.70 23278.07 26637.62 31279.21 16361.81 14689.15 15480.82 200
ECVR-MVScopyleft64.82 22665.22 22163.60 25678.80 16531.14 35366.97 24456.47 31954.23 19669.94 25588.68 10437.23 31374.81 23245.28 27589.41 14984.86 96
test111164.62 22965.19 22262.93 26779.01 16329.91 35765.45 26454.41 32754.09 20171.47 24188.48 10737.02 31474.29 23946.83 26689.94 13884.58 110
GA-MVS62.91 24861.66 25366.66 23567.09 30044.49 26261.18 30369.36 25551.33 23269.33 26074.47 29336.83 31574.94 22950.60 23574.72 30980.57 209
MS-PatchMatch55.59 29454.89 30257.68 30369.18 28249.05 22061.00 30462.93 28935.98 33458.36 32568.93 34136.71 31666.59 30137.62 31863.30 35257.39 354
CVMVSNet59.21 27858.44 28161.51 27873.94 23647.76 23571.31 18264.56 28026.91 36660.34 31770.44 32736.24 31767.65 29053.57 21868.66 34069.12 315
PMMVS237.74 33740.87 33828.36 35442.41 3775.35 37924.61 36727.75 37632.15 35347.85 35870.27 33035.85 31829.51 37119.08 37167.85 34250.22 360
tpmrst50.15 31751.38 31646.45 33556.05 36024.77 36964.40 27749.98 34336.14 33353.32 34569.59 33635.16 31948.69 34239.24 30458.51 36165.89 330
D2MVS62.58 25361.05 26167.20 22763.85 32347.92 23256.29 32569.58 25339.32 31770.07 25478.19 26334.93 32072.68 24953.44 22083.74 23081.00 195
PVSNet43.83 2151.56 31451.17 31752.73 31668.34 28738.27 30948.22 34553.56 33136.41 33254.29 34164.94 35534.60 32154.20 33630.34 34869.87 33465.71 332
MVS-HIRNet45.53 32747.29 32740.24 35062.29 33026.82 36556.02 32737.41 37229.74 36143.69 36881.27 22133.96 32255.48 33224.46 36656.79 36338.43 369
baseline255.57 29552.74 30964.05 25265.26 31344.11 26462.38 29454.43 32639.03 32051.21 34967.35 35033.66 32372.45 25537.14 32164.22 35075.60 256
RPMNet65.77 21865.08 23067.84 22066.37 30348.24 22770.93 18886.27 2354.66 18861.35 30986.77 13733.29 32485.67 4655.93 19370.17 33269.62 310
CR-MVSNet58.96 27958.49 28060.36 28966.37 30348.24 22770.93 18856.40 32032.87 35061.35 30986.66 14233.19 32563.22 31648.50 25270.17 33269.62 310
Patchmtry60.91 26563.01 24654.62 31166.10 30926.27 36767.47 23356.40 32054.05 20272.04 23086.66 14233.19 32560.17 32443.69 28187.45 17677.42 245
RRT_MVS73.80 11871.19 16381.60 2471.04 26470.33 6878.78 9374.91 20556.96 16177.83 14385.56 17232.82 32787.39 571.16 7391.68 9387.07 62
CostFormer57.35 28856.14 29660.97 28463.76 32538.43 30767.50 23260.22 30137.14 33059.12 32376.34 27832.78 32871.99 26139.12 30569.27 33772.47 283
tpm cat154.02 30252.63 31058.19 30264.85 32039.86 29966.26 25357.28 31332.16 35256.90 32970.39 32932.75 32965.30 30634.29 33658.79 35969.41 312
thres20057.55 28757.02 28959.17 29567.89 29434.93 33458.91 31757.25 31450.24 24264.01 29571.46 32332.49 33071.39 26631.31 34579.57 27771.19 298
tfpn200view960.35 27159.97 26961.51 27870.78 26635.35 33163.27 28957.47 31053.00 21368.31 26977.09 27332.45 33172.09 25835.61 33181.73 24977.08 249
thres40060.77 26859.97 26963.15 26270.78 26635.35 33163.27 28957.47 31053.00 21368.31 26977.09 27332.45 33172.09 25835.61 33181.73 24982.02 180
EU-MVSNet60.82 26660.80 26460.86 28668.37 28641.16 28672.27 16368.27 26226.96 36569.08 26175.71 28032.09 33367.44 29255.59 19878.90 28173.97 269
thres100view90061.17 26461.09 26061.39 28072.14 25835.01 33365.42 26556.99 31655.23 17970.71 24879.90 23832.07 33472.09 25835.61 33181.73 24977.08 249
thres600view761.82 25961.38 25863.12 26371.81 26034.93 33464.64 27256.99 31654.78 18670.33 25279.74 24032.07 33472.42 25638.61 30983.46 23382.02 180
PatchmatchNetpermissive54.60 29854.27 30455.59 30965.17 31639.08 30266.92 24551.80 33939.89 31658.39 32473.12 30831.69 33658.33 32843.01 28558.38 36269.38 313
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
sam_mvs131.41 33770.05 305
patchmatchnet-post68.99 33931.32 33869.38 280
ADS-MVSNet248.76 32047.25 32853.29 31555.90 36240.54 29547.34 34954.99 32531.41 35850.48 35272.06 31731.23 33954.26 33525.93 36155.93 36465.07 335
ADS-MVSNet44.62 33145.58 33041.73 34855.90 36220.83 37347.34 34939.94 36931.41 35850.48 35272.06 31731.23 33939.31 36625.93 36155.93 36465.07 335
sam_mvs31.21 341
Patchmatch-RL test59.95 27359.12 27462.44 27172.46 25554.61 18959.63 31247.51 35141.05 31174.58 19674.30 29631.06 34265.31 30551.61 22679.85 27267.39 321
tpmvs55.84 29155.45 30157.01 30560.33 34233.20 34465.89 25659.29 30547.52 27056.04 33373.60 30331.05 34368.06 28840.64 29864.64 34869.77 308
test_post1.99 37530.91 34454.76 334
MDTV_nov1_ep1354.05 30565.54 31229.30 35959.00 31555.22 32235.96 33552.44 34675.98 27930.77 34559.62 32538.21 31273.33 317
test_post166.63 2492.08 37430.66 34659.33 32640.34 300
Patchmatch-test47.93 32249.96 32341.84 34757.42 35624.26 37048.75 34341.49 36539.30 31856.79 33073.48 30430.48 34733.87 36929.29 35572.61 31967.39 321
tpm256.12 29054.64 30360.55 28866.24 30636.01 32568.14 22556.77 31833.60 34858.25 32675.52 28430.25 34874.33 23833.27 34069.76 33671.32 294
MVSTER63.29 24461.60 25668.36 21259.77 34746.21 25160.62 30671.32 23641.83 30475.40 18479.12 25230.25 34875.85 21656.30 19079.81 27383.03 156
tpm50.60 31552.42 31245.14 34065.18 31526.29 36660.30 30843.50 35637.41 32857.01 32879.09 25330.20 35042.32 36132.77 34266.36 34566.81 327
PatchT53.35 30456.47 29443.99 34464.19 32217.46 37559.15 31343.10 35752.11 22254.74 33986.95 12929.97 35149.98 34043.62 28274.40 31264.53 341
MDTV_nov1_ep13_2view18.41 37453.74 33431.57 35744.89 36329.90 35232.93 34171.48 292
test-LLR50.43 31650.69 32149.64 32460.76 33941.87 28353.18 33545.48 35443.41 29749.41 35660.47 36029.22 35344.73 35442.09 28972.14 32162.33 347
test0.0.03 147.72 32348.31 32545.93 33655.53 36429.39 35846.40 35241.21 36743.41 29755.81 33667.65 34729.22 35343.77 35925.73 36369.87 33464.62 339
thisisatest053067.05 21065.16 22372.73 15473.10 24950.55 20971.26 18463.91 28450.22 24374.46 19880.75 22626.81 35580.25 14959.43 16886.50 19487.37 56
tttt051769.46 17667.79 20274.46 11775.34 20952.72 20075.05 13763.27 28854.69 18778.87 12984.37 18426.63 35681.15 12663.95 12987.93 16989.51 24
EMVS44.61 33244.45 33645.10 34148.91 37543.00 27537.92 36341.10 36846.75 27438.00 37148.43 36926.42 35746.27 34637.11 32275.38 30546.03 364
thisisatest051560.48 27057.86 28468.34 21367.25 29846.42 24860.58 30762.14 29240.82 31263.58 30069.12 33826.28 35878.34 18448.83 24782.13 24480.26 213
E-PMN45.17 32845.36 33144.60 34250.07 37342.75 27738.66 36242.29 36246.39 27639.55 36951.15 36726.00 35945.37 35137.68 31676.41 29545.69 365
EPMVS45.74 32646.53 32943.39 34554.14 37022.33 37255.02 33135.00 37434.69 34151.09 35070.20 33125.92 36042.04 36337.19 32055.50 36665.78 331
tmp_tt11.98 34214.73 3453.72 3572.28 3804.62 38019.44 36914.50 3800.47 37521.55 3739.58 37325.78 3614.57 37611.61 37327.37 3721.96 372
ET-MVSNet_ETH3D63.32 24360.69 26571.20 17270.15 27655.66 18265.02 26964.32 28243.28 30068.99 26372.05 31925.46 36278.19 19054.16 21482.80 23879.74 220
FMVSNet555.08 29755.54 30053.71 31265.80 31033.50 34356.22 32652.50 33743.72 29461.06 31283.38 19625.46 36254.87 33330.11 35081.64 25472.75 280
new_pmnet37.55 33839.80 34130.79 35356.83 35716.46 37639.35 36130.65 37525.59 36745.26 36261.60 35924.54 36428.02 37221.60 36852.80 36847.90 362
dp44.09 33344.88 33441.72 34958.53 35223.18 37154.70 33242.38 36134.80 33944.25 36665.61 35424.48 36544.80 35329.77 35249.42 36957.18 355
RRT_test8_iter0565.80 21765.13 22667.80 22267.02 30140.85 29167.13 24175.33 20049.73 24872.69 22081.32 22024.45 36677.37 20261.69 14986.82 19185.18 87
IB-MVS49.67 1859.69 27556.96 29067.90 21868.19 28950.30 21161.42 30065.18 27547.57 26955.83 33567.15 35223.77 36779.60 15943.56 28379.97 27173.79 272
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
CHOSEN 280x42041.62 33539.89 34046.80 33361.81 33251.59 20333.56 36635.74 37327.48 36437.64 37253.53 36423.24 36842.09 36227.39 35958.64 36046.72 363
DWT-MVSNet_test53.04 30551.12 31858.77 29861.23 33638.67 30662.16 29657.74 30838.24 32351.76 34859.07 36221.36 36967.40 29344.80 27663.76 35170.25 304
gg-mvs-nofinetune55.75 29256.75 29252.72 31762.87 32828.04 36268.92 21041.36 36671.09 4450.80 35192.63 1220.74 37066.86 29729.97 35172.41 32063.25 342
GG-mvs-BLEND52.24 31860.64 34129.21 36069.73 20142.41 35945.47 36152.33 36620.43 37168.16 28725.52 36465.42 34759.36 352
JIA-IIPM54.03 30151.62 31361.25 28259.14 34955.21 18559.10 31447.72 35050.85 23750.31 35585.81 17020.10 37263.97 31136.16 32955.41 36764.55 340
test-mter48.56 32148.20 32649.64 32460.76 33941.87 28353.18 33545.48 35431.91 35649.41 35660.47 36018.34 37344.73 35442.09 28972.14 32162.33 347
TESTMET0.1,145.17 32844.93 33345.89 33756.02 36138.31 30853.18 33541.94 36427.85 36344.86 36456.47 36317.93 37441.50 36538.08 31468.06 34157.85 353
test250661.23 26360.85 26362.38 27278.80 16527.88 36367.33 23837.42 37154.23 19667.55 27588.68 10417.87 37574.39 23746.33 26989.41 14984.86 96
test_method19.26 34019.12 34419.71 3559.09 3791.91 3817.79 37053.44 3321.42 37310.27 37535.80 37017.42 37625.11 37412.44 37224.38 37332.10 370
DeepMVS_CXcopyleft11.83 35615.51 37813.86 37711.25 3815.76 37220.85 37426.46 37117.06 3779.22 3759.69 37413.82 37412.42 371
pmmvs346.71 32545.09 33251.55 32056.76 35848.25 22655.78 32839.53 37024.13 36950.35 35463.40 35615.90 37851.08 33729.29 35570.69 33055.33 357
KD-MVS_2432*160052.05 31251.58 31453.44 31352.11 37131.20 35144.88 35564.83 27841.53 30664.37 29070.03 33215.61 37964.20 30936.25 32674.61 31064.93 337
miper_refine_blended52.05 31251.58 31453.44 31352.11 37131.20 35144.88 35564.83 27841.53 30664.37 29070.03 33215.61 37964.20 30936.25 32674.61 31064.93 337
testmvs4.06 3465.28 3490.41 3580.64 3820.16 38342.54 3570.31 3830.26 3770.50 3781.40 3770.77 3810.17 3770.56 3750.55 3760.90 373
test1234.43 3455.78 3480.39 3590.97 3810.28 38246.33 3530.45 3820.31 3760.62 3771.50 3760.61 3820.11 3780.56 3750.63 3750.77 374
test_blank0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
uanet_test0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
sosnet-low-res0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
sosnet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
uncertanet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
Regformer0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
ab-mvs-re5.62 3437.50 3460.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 37967.46 3480.00 3830.00 3790.00 3770.00 3770.00 375
uanet0.00 3470.00 3500.00 3600.00 3830.00 3840.00 3710.00 3840.00 3780.00 3790.00 3780.00 3830.00 3790.00 3770.00 3770.00 375
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
No_MVS79.02 5983.14 10367.03 9380.75 12586.24 2377.27 3594.85 2683.78 132
eth-test20.00 383
eth-test0.00 383
IU-MVS86.12 5960.90 14480.38 13545.49 28081.31 10175.64 4494.39 4384.65 103
save fliter87.00 4367.23 9179.24 8777.94 17456.65 167
test_0728_SECOND76.57 9386.20 5460.57 14983.77 4385.49 3585.90 3775.86 4294.39 4383.25 149
GSMVS70.05 305
test_part285.90 6366.44 9884.61 63
MTGPAbinary80.63 128
MTMP84.83 3319.26 379
gm-plane-assit62.51 32933.91 34137.25 32962.71 35772.74 24838.70 307
test9_res72.12 7091.37 10177.40 246
agg_prior270.70 7790.93 11478.55 232
agg_prior84.44 8766.02 10278.62 16376.95 15680.34 146
test_prior470.14 6977.57 107
test_prior75.27 11182.15 12259.85 15584.33 6683.39 8982.58 169
旧先验271.17 18545.11 28478.54 13361.28 32259.19 170
新几何271.33 181
无先验74.82 14070.94 24547.75 26876.85 20954.47 20772.09 288
原ACMM274.78 144
testdata267.30 29448.34 253
testdata168.34 22457.24 159
plane_prior785.18 7266.21 100
plane_prior585.49 3586.15 2871.09 7490.94 11284.82 98
plane_prior489.11 95
plane_prior365.67 10463.82 10178.23 136
plane_prior282.74 5465.45 80
plane_prior184.46 86
plane_prior65.18 10880.06 8161.88 11989.91 139
n20.00 384
nn0.00 384
door-mid55.02 324
test1182.71 94
door52.91 336
HQP5-MVS58.80 165
HQP-NCC82.37 11777.32 11159.08 13871.58 234
ACMP_Plane82.37 11777.32 11159.08 13871.58 234
BP-MVS67.38 106
HQP4-MVS71.59 23385.31 5283.74 134
HQP3-MVS84.12 7489.16 152
NP-MVS83.34 10263.07 12885.97 166
ACMMP++_ref89.47 148
ACMMP++91.96 90