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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
Effi-MVS+-dtu75.43 9772.28 14784.91 277.05 18783.58 178.47 9777.70 17757.68 15274.89 18978.13 26664.80 13684.26 7656.46 18985.32 20786.88 63
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
mvs-test173.81 11770.69 16983.18 577.05 18781.39 375.39 13477.70 17757.68 15271.19 24574.72 29164.80 13683.66 8356.46 18981.19 25884.50 116
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
MSP-MVS80.49 5079.67 6582.96 789.70 1277.46 2387.16 1285.10 4664.94 9081.05 10588.38 11057.10 20787.10 879.75 883.87 22884.31 121
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
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
3Dnovator+73.19 281.08 4480.48 5782.87 981.41 13372.03 5084.38 3786.23 2677.28 1680.65 11190.18 7459.80 18087.58 473.06 6091.34 10289.01 33
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 37373.86 5686.31 2078.84 2094.03 5784.64 104
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
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
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
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
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
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
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
DeepPCF-MVS71.07 578.48 7277.14 8782.52 1984.39 8977.04 2576.35 12384.05 7656.66 16680.27 11685.31 17568.56 9787.03 1067.39 10591.26 10383.50 138
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
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
MP-MVScopyleft83.19 2083.54 2682.14 2290.54 579.00 1186.42 2383.59 8271.31 4381.26 10390.96 3974.57 5184.69 6778.41 2294.78 2882.74 166
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
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
RRT_MVS73.80 11871.19 16481.60 2471.04 26570.33 6878.78 9374.91 20656.96 16177.83 14485.56 17232.82 32887.39 571.16 7391.68 9387.07 62
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
DeepC-MVS72.44 481.00 4580.83 5681.50 2686.70 5070.03 7082.06 5987.00 1759.89 13480.91 10990.53 5272.19 6588.56 173.67 5794.52 3685.92 76
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
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
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
LS3D80.99 4680.85 5581.41 3078.37 16971.37 5687.45 885.87 3277.48 1381.98 9289.95 7869.14 9185.26 5466.15 11191.24 10487.61 51
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.
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
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
OMC-MVS79.41 6178.79 7081.28 3480.62 14070.71 6480.91 6684.76 5362.54 11481.77 9586.65 14471.46 7383.53 8667.95 10092.44 8489.60 23
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
anonymousdsp78.60 6877.80 8081.00 3778.01 17574.34 3880.09 7976.12 19250.51 24189.19 1090.88 4071.45 7477.78 19773.38 5890.60 12590.90 16
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
CPTT-MVS81.51 3881.76 4780.76 4089.20 2478.75 1286.48 2282.03 10168.80 5680.92 10888.52 10672.00 6882.39 10674.80 4793.04 7381.14 191
test_djsdf78.88 6678.27 7680.70 4181.42 13271.24 5883.98 3975.72 19652.27 21987.37 2792.25 1668.04 10480.56 14172.28 6891.15 10790.32 20
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
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
ITE_SJBPF80.35 4476.94 19173.60 4380.48 13266.87 6783.64 7686.18 15870.25 8379.90 15661.12 15588.95 15887.56 52
HPM-MVS++copyleft79.89 5779.80 6380.18 4589.02 2778.44 1383.49 4980.18 13964.71 9378.11 14088.39 10965.46 12983.14 9477.64 3291.20 10578.94 228
RPSCF75.76 9374.37 11179.93 4674.81 21977.53 2077.53 10979.30 15159.44 13778.88 12989.80 8071.26 7673.09 24657.45 18080.89 26289.17 30
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
TSAR-MVS + MP.79.05 6478.81 6979.74 4888.94 2967.52 8886.61 2081.38 11251.71 22677.15 15291.42 3365.49 12887.20 679.44 1487.17 18584.51 115
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
mvs_tets78.93 6578.67 7379.72 4984.81 7973.93 4080.65 6876.50 19051.98 22487.40 2491.86 2176.09 3578.53 17568.58 9090.20 12986.69 66
DeepC-MVS_fast69.89 777.17 8176.33 9279.70 5083.90 9567.94 8580.06 8183.75 7956.73 16574.88 19085.32 17465.54 12787.79 265.61 11791.14 10883.35 147
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
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
jajsoiax78.51 7078.16 7879.59 5284.65 8273.83 4280.42 7176.12 19251.33 23287.19 2991.51 2973.79 5878.44 17968.27 9390.13 13486.49 68
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
UA-Net81.56 3782.28 4479.40 5488.91 3069.16 7984.67 3580.01 14275.34 1779.80 12094.91 269.79 8780.25 14972.63 6394.46 3888.78 41
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
F-COLMAP75.29 9973.99 11679.18 5681.73 12971.90 5181.86 6282.98 8859.86 13572.27 22784.00 18964.56 13983.07 9751.48 22887.19 18482.56 171
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
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).
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
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
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
NCCC78.25 7578.04 7978.89 6385.61 6869.45 7379.80 8380.99 12365.77 7775.55 18286.25 15767.42 10885.42 5070.10 7990.88 11881.81 184
HQP_MVS78.77 6778.78 7178.72 6485.18 7265.18 10882.74 5485.49 3565.45 8078.23 13789.11 9560.83 17086.15 2871.09 7490.94 11284.82 98
OurMVSNet-221017-078.57 6978.53 7578.67 6580.48 14164.16 11780.24 7782.06 10061.89 11888.77 1293.32 457.15 20582.60 10470.08 8092.80 7889.25 27
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 8688.99 9966.82 11478.37 18374.80 4790.76 12382.40 174
XVG-OURS-SEG-HR79.62 5879.99 6178.49 6886.46 5274.79 3477.15 11585.39 4066.73 7080.39 11588.85 10274.43 5478.33 18574.73 4985.79 20082.35 175
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
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
AllTest77.66 7777.43 8278.35 7179.19 15770.81 6178.60 9588.64 365.37 8380.09 11888.17 11570.33 8178.43 18055.60 19790.90 11685.81 77
TestCases78.35 7179.19 15770.81 6188.64 365.37 8380.09 11888.17 11570.33 8178.43 18055.60 19790.90 11685.81 77
CNVR-MVS78.49 7178.59 7478.16 7385.86 6667.40 8978.12 10581.50 10863.92 9977.51 14986.56 14868.43 10084.82 6573.83 5591.61 9682.26 178
CDPH-MVS77.33 8077.06 8878.14 7484.21 9063.98 11976.07 12883.45 8354.20 19877.68 14887.18 12369.98 8485.37 5168.01 9792.72 8285.08 91
PS-MVSNAJss77.54 7877.35 8478.13 7584.88 7766.37 9978.55 9679.59 14753.48 21086.29 3592.43 1562.39 15280.25 14967.90 10190.61 12487.77 48
Regformer-275.32 9874.47 10977.88 7674.22 23266.65 9772.77 16077.54 17968.47 6180.44 11372.08 31470.60 8080.97 13470.08 8084.02 22686.01 74
CS-MVS-test75.88 9175.24 10377.78 7777.30 18563.59 12277.02 11886.83 1960.82 12674.17 20279.23 24965.42 13082.29 11069.48 8686.87 18787.47 53
TAPA-MVS65.27 1275.16 10174.29 11377.77 7874.86 21868.08 8477.89 10684.04 7755.15 18076.19 17883.39 19666.91 11280.11 15460.04 16590.14 13385.13 88
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CS-MVS76.42 8776.03 9477.57 7977.07 18663.35 12480.80 6782.77 9260.39 13074.11 20483.29 20269.71 8881.97 11469.28 8786.87 18787.38 55
Regformer-474.64 11073.67 12277.55 8074.74 22164.49 11572.91 15875.42 20067.45 6380.24 11772.07 31668.98 9380.19 15370.29 7880.91 26087.98 46
TSAR-MVS + GP.73.08 13071.60 15877.54 8178.99 16470.73 6374.96 13869.38 25560.73 12874.39 20078.44 26057.72 20282.78 10060.16 16289.60 14479.11 227
h-mvs3373.08 13071.61 15777.48 8283.89 9672.89 4970.47 19471.12 24454.28 19477.89 14183.41 19549.04 24880.98 13363.62 13490.77 12278.58 232
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
ETH3D cwj APD-0.1678.38 7478.72 7277.38 8480.09 14466.16 10179.08 9086.13 2757.55 15780.93 10787.76 12271.98 6982.73 10272.11 7192.83 7783.25 149
PMVScopyleft70.70 681.70 3683.15 3477.36 8590.35 682.82 282.15 5879.22 15274.08 2287.16 3091.97 1984.80 276.97 20564.98 12193.61 6572.28 287
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
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
hse-mvs272.32 14870.66 17077.31 8783.10 10771.77 5269.19 20971.45 23554.28 19477.89 14178.26 26249.04 24879.23 16263.62 13489.13 15680.92 197
AUN-MVS70.22 16667.88 20277.22 8882.96 11171.61 5369.08 21071.39 23649.17 25571.70 23378.07 26737.62 31379.21 16361.81 14689.15 15480.82 200
ETH3D-3000-0.179.14 6379.80 6377.16 8980.67 13964.57 11380.26 7687.60 1260.74 12782.47 8988.03 11971.73 7081.81 11773.12 5993.61 6585.09 89
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
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
PHI-MVS74.92 10574.36 11276.61 9276.40 19862.32 13180.38 7283.15 8654.16 20073.23 21680.75 22762.19 15583.86 8068.02 9690.92 11583.65 136
test_0728_SECOND76.57 9386.20 5460.57 14983.77 4385.49 3585.90 3775.86 4294.39 4383.25 149
test1276.51 9482.28 12060.94 14381.64 10773.60 20964.88 13585.19 5990.42 12783.38 145
CANet73.00 13571.84 15276.48 9575.82 20761.28 13874.81 14180.37 13663.17 11062.43 30680.50 23161.10 16885.16 6064.00 12884.34 22283.01 157
SD-MVS80.28 5581.55 5276.47 9683.57 9767.83 8783.39 5185.35 4164.42 9586.14 3887.07 12774.02 5580.97 13477.70 3192.32 8780.62 208
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
PLCcopyleft62.01 1671.79 15370.28 17276.33 9780.31 14368.63 8278.18 10481.24 11554.57 19067.09 28080.63 22959.44 18181.74 12046.91 26584.17 22378.63 230
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
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
DP-MVS Recon73.57 12172.69 14176.23 9982.85 11263.39 12374.32 15082.96 8957.75 15170.35 25281.98 21464.34 14184.41 7449.69 24289.95 13780.89 198
Regformer-174.28 11273.63 12476.21 10074.22 23264.12 11872.77 16075.46 19966.86 6879.27 12572.08 31469.29 9078.74 17168.73 8984.02 22685.77 82
DROMVSNet77.08 8277.39 8376.14 10176.86 19556.87 17580.32 7587.52 1363.45 10674.66 19684.52 18269.87 8684.94 6169.76 8489.59 14586.60 67
HQP-MVS75.24 10075.01 10475.94 10282.37 11758.80 16577.32 11184.12 7459.08 13871.58 23585.96 16758.09 19585.30 5367.38 10689.16 15283.73 135
DP-MVS78.44 7379.29 6775.90 10381.86 12765.33 10679.05 9184.63 6074.83 2080.41 11486.27 15571.68 7183.45 8862.45 14592.40 8578.92 229
train_agg76.38 8876.55 8975.86 10485.47 6969.32 7776.42 12178.69 16154.00 20376.97 15586.74 13866.60 11781.10 12872.50 6691.56 9777.15 248
Vis-MVSNetpermissive74.85 10974.56 10775.72 10581.63 13164.64 11276.35 12379.06 15462.85 11273.33 21488.41 10862.54 15079.59 16063.94 13182.92 23882.94 158
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PCF-MVS63.80 1372.70 14371.69 15475.72 10578.10 17260.01 15473.04 15781.50 10845.34 28379.66 12184.35 18565.15 13382.65 10348.70 25089.38 15184.50 116
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
EGC-MVSNET64.77 22961.17 26075.60 10786.90 4774.47 3584.04 3868.62 2610.60 3751.13 37791.61 2765.32 13274.15 24164.01 12788.28 16178.17 239
EI-MVSNet-Vis-set72.78 14171.87 15175.54 10874.77 22059.02 16372.24 16471.56 23263.92 9978.59 13171.59 32266.22 12278.60 17367.58 10280.32 26889.00 34
EI-MVSNet-UG-set72.63 14471.68 15575.47 10974.67 22458.64 16872.02 16771.50 23363.53 10478.58 13371.39 32565.98 12378.53 17567.30 10880.18 27089.23 28
EPP-MVSNet73.86 11673.38 12875.31 11078.19 17153.35 19880.45 7077.32 18365.11 8876.47 17386.80 13349.47 24583.77 8153.89 21692.72 8288.81 40
test_prior376.71 8677.19 8575.27 11182.15 12259.85 15575.57 13284.33 6658.92 14276.53 17186.78 13567.83 10683.39 8969.81 8292.76 8082.58 169
test_prior75.27 11182.15 12259.85 15584.33 6683.39 8982.58 169
DVP-MVScopyleft81.15 4283.12 3575.24 11386.16 5760.78 14683.77 4380.58 13172.48 3485.83 4290.41 5978.57 1885.69 4475.86 4294.39 4379.24 225
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
ETH3 D test640075.73 9476.00 9574.92 11481.75 12856.93 17378.31 9984.60 6252.83 21577.15 15285.14 17768.59 9684.03 7865.44 11890.20 12983.82 129
CNLPA73.44 12273.03 13774.66 11578.27 17075.29 3175.99 12978.49 16665.39 8275.67 18083.22 20661.23 16666.77 30153.70 21885.33 20681.92 183
Regformer-372.86 14072.28 14774.62 11674.74 22160.18 15272.91 15871.76 22864.74 9278.42 13572.07 31667.00 11176.28 21567.97 9980.91 26087.39 54
tttt051769.46 17767.79 20374.46 11775.34 21052.72 20075.05 13763.27 28954.69 18778.87 13084.37 18426.63 35781.15 12663.95 12987.93 16989.51 24
EPNet69.10 18467.32 20874.46 11768.33 28961.27 13977.56 10863.57 28760.95 12456.62 33282.75 20751.53 23581.24 12554.36 21290.20 12980.88 199
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CLD-MVS72.88 13972.36 14674.43 11977.03 18954.30 19068.77 21783.43 8452.12 22176.79 16574.44 29569.54 8983.91 7955.88 19593.25 7285.09 89
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
WR-MVS_H80.22 5682.17 4574.39 12089.46 1542.69 27978.24 10282.24 9878.21 1089.57 992.10 1868.05 10385.59 4766.04 11395.62 994.88 5
ETV-MVS72.72 14272.16 15074.38 12176.90 19355.95 17873.34 15684.67 5762.04 11772.19 23070.81 32665.90 12585.24 5658.64 17384.96 21481.95 182
agg_prior175.89 9076.41 9074.31 12284.44 8766.02 10276.12 12778.62 16454.40 19276.95 15786.85 13266.44 12080.34 14672.45 6791.42 10076.57 252
test_040278.17 7679.48 6674.24 12383.50 9859.15 16272.52 16274.60 20975.34 1788.69 1391.81 2275.06 4482.37 10765.10 11988.68 16081.20 189
v1075.69 9576.20 9374.16 12474.44 23048.69 22275.84 13182.93 9059.02 14185.92 4089.17 9358.56 19082.74 10170.73 7689.14 15591.05 13
IS-MVSNet75.10 10275.42 10274.15 12579.23 15548.05 23179.43 8478.04 17370.09 5279.17 12788.02 12053.04 22683.60 8458.05 17893.76 6490.79 17
SixPastTwentyTwo75.77 9276.34 9174.06 12681.69 13054.84 18676.47 12075.49 19864.10 9887.73 1892.24 1750.45 24181.30 12467.41 10491.46 9986.04 73
原ACMM173.90 12785.90 6365.15 11081.67 10650.97 23674.25 20186.16 16061.60 16083.54 8556.75 18491.08 11073.00 278
K. test v373.67 11973.61 12573.87 12879.78 14655.62 18474.69 14762.04 29866.16 7684.76 6193.23 549.47 24580.97 13465.66 11686.67 19385.02 93
Fast-Effi-MVS+-dtu70.00 16968.74 18973.77 12973.47 24164.53 11471.36 18178.14 17255.81 17568.84 26874.71 29265.36 13175.75 21952.00 22579.00 28181.03 193
UGNet70.20 16769.05 18273.65 13076.24 20063.64 12075.87 13072.53 22361.48 12060.93 31686.14 16152.37 23077.12 20450.67 23585.21 20880.17 216
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
114514_t73.40 12473.33 13173.64 13184.15 9257.11 17278.20 10380.02 14143.76 29372.55 22386.07 16564.00 14283.35 9160.14 16391.03 11180.45 211
MCST-MVS73.42 12373.34 13073.63 13281.28 13459.17 16174.80 14383.13 8745.50 27972.84 21983.78 19265.15 13380.99 13264.54 12389.09 15780.73 205
UniMVSNet (Re)75.00 10475.48 10173.56 13383.14 10347.92 23370.41 19681.04 12263.67 10279.54 12286.37 15362.83 14681.82 11657.10 18395.25 1590.94 15
PVSNet_Blended_VisFu70.04 16868.88 18573.53 13482.71 11463.62 12174.81 14181.95 10348.53 26167.16 27979.18 25251.42 23678.38 18254.39 21179.72 27778.60 231
v875.07 10375.64 9973.35 13573.42 24247.46 24075.20 13681.45 11060.05 13285.64 4489.26 8858.08 19781.80 11869.71 8587.97 16890.79 17
CSCG74.12 11474.39 11073.33 13679.35 15261.66 13677.45 11081.98 10262.47 11679.06 12880.19 23661.83 15778.79 17059.83 16787.35 17879.54 222
v119273.40 12473.42 12673.32 13774.65 22748.67 22372.21 16581.73 10552.76 21681.85 9384.56 18157.12 20682.24 11268.58 9087.33 17989.06 32
test_part176.97 8378.21 7773.25 13877.87 17745.76 25578.27 10187.26 1566.69 7185.31 5291.43 3255.95 21684.24 7765.71 11595.43 1289.75 22
AdaColmapbinary74.22 11374.56 10773.20 13981.95 12560.97 14279.43 8480.90 12465.57 7972.54 22481.76 21870.98 7885.26 5447.88 25890.00 13573.37 275
PAPM_NR73.91 11574.16 11473.16 14081.90 12653.50 19681.28 6481.40 11166.17 7573.30 21583.31 20159.96 17683.10 9658.45 17581.66 25482.87 160
PEN-MVS80.46 5182.91 3773.11 14189.83 939.02 30577.06 11782.61 9580.04 590.60 692.85 974.93 4785.21 5763.15 14195.15 1895.09 2
PS-CasMVS80.41 5282.86 3973.07 14289.93 739.21 30277.15 11581.28 11479.74 690.87 492.73 1175.03 4584.93 6263.83 13295.19 1695.07 3
v114473.29 12773.39 12773.01 14374.12 23648.11 23072.01 16881.08 12153.83 20781.77 9584.68 17958.07 19881.91 11568.10 9486.86 18988.99 35
MVS_111021_HR72.98 13772.97 13972.99 14480.82 13765.47 10568.81 21472.77 22057.67 15475.76 17982.38 21171.01 7777.17 20361.38 15186.15 19676.32 253
CP-MVSNet79.48 6081.65 5072.98 14589.66 1339.06 30476.76 11980.46 13378.91 890.32 791.70 2468.49 9884.89 6363.40 13895.12 1995.01 4
MVS_111021_LR72.10 15071.82 15372.95 14679.53 15073.90 4170.45 19566.64 26856.87 16276.81 16481.76 21868.78 9471.76 26461.81 14683.74 23073.18 277
DU-MVS74.91 10675.57 10072.93 14783.50 9845.79 25369.47 20480.14 14065.22 8681.74 9787.08 12561.82 15881.07 13056.21 19294.98 2191.93 8
EIA-MVS68.59 19167.16 21072.90 14875.18 21355.64 18369.39 20581.29 11352.44 21864.53 29070.69 32760.33 17382.30 10954.27 21376.31 29880.75 204
v192192072.96 13872.98 13872.89 14974.67 22447.58 23871.92 17380.69 12751.70 22781.69 9983.89 19056.58 21282.25 11168.34 9287.36 17788.82 39
v124073.06 13273.14 13372.84 15074.74 22147.27 24371.88 17581.11 11851.80 22582.28 9184.21 18656.22 21482.34 10868.82 8887.17 18588.91 37
v14419272.99 13673.06 13672.77 15174.58 22847.48 23971.90 17480.44 13451.57 22881.46 10184.11 18858.04 19982.12 11367.98 9887.47 17588.70 42
lessismore_v072.75 15279.60 14956.83 17657.37 31383.80 7489.01 9847.45 25978.74 17164.39 12586.49 19582.69 167
DTE-MVSNet80.35 5382.89 3872.74 15389.84 837.34 32077.16 11481.81 10480.45 490.92 392.95 774.57 5186.12 3063.65 13394.68 3394.76 6
thisisatest053067.05 21165.16 22472.73 15473.10 25050.55 20971.26 18563.91 28550.22 24474.46 19980.75 22726.81 35680.25 14959.43 16986.50 19487.37 56
IterMVS-LS73.01 13473.12 13572.66 15573.79 23949.90 21571.63 17778.44 16758.22 14680.51 11286.63 14558.15 19479.62 15862.51 14388.20 16288.48 43
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
UniMVSNet_NR-MVSNet74.90 10775.65 9872.64 15683.04 10845.79 25369.26 20778.81 15866.66 7281.74 9786.88 13163.26 14481.07 13056.21 19294.98 2191.05 13
MVSFormer69.93 17169.03 18372.63 15774.93 21559.19 15983.98 3975.72 19652.27 21963.53 30276.74 27743.19 27980.56 14172.28 6878.67 28578.14 240
IterMVS-SCA-FT67.68 20366.07 21872.49 15873.34 24458.20 17063.80 28365.55 27448.10 26376.91 15982.64 20845.20 26678.84 16861.20 15377.89 29380.44 212
v2v48272.55 14772.58 14372.43 15972.92 25446.72 24671.41 18079.13 15355.27 17881.17 10485.25 17655.41 21781.13 12767.25 10985.46 20289.43 25
MAR-MVS67.72 20266.16 21772.40 16074.45 22964.99 11174.87 13977.50 18148.67 25965.78 28668.58 34657.01 20977.79 19646.68 26881.92 24774.42 268
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
3Dnovator65.95 1171.50 15571.22 16372.34 16173.16 24663.09 12778.37 9878.32 16857.67 15472.22 22984.61 18054.77 21878.47 17760.82 15881.07 25975.45 259
NR-MVSNet73.62 12074.05 11572.33 16283.50 9843.71 26865.65 26277.32 18364.32 9675.59 18187.08 12562.45 15181.34 12254.90 20395.63 891.93 8
DPM-MVS69.98 17069.22 18172.26 16382.69 11558.82 16470.53 19381.23 11647.79 26864.16 29480.21 23451.32 23783.12 9560.14 16384.95 21574.83 265
112169.23 18168.26 19472.12 16488.36 3771.40 5568.59 21962.06 29643.80 29274.75 19186.18 15852.92 22776.85 20954.47 20883.27 23668.12 319
V4271.06 15770.83 16771.72 16567.25 29947.14 24465.94 25680.35 13751.35 23183.40 7883.23 20459.25 18478.80 16965.91 11480.81 26489.23 28
Effi-MVS+72.10 15072.28 14771.58 16674.21 23550.33 21174.72 14682.73 9362.62 11370.77 24876.83 27669.96 8580.97 13460.20 16078.43 28783.45 144
TranMVSNet+NR-MVSNet76.13 8977.66 8171.56 16784.61 8342.57 28170.98 18878.29 17068.67 5983.04 7989.26 8872.99 6380.75 14055.58 20095.47 1091.35 11
nrg03074.87 10875.99 9671.52 16874.90 21749.88 21874.10 15382.58 9654.55 19183.50 7789.21 9071.51 7275.74 22061.24 15292.34 8688.94 36
eth_miper_zixun_eth69.42 17868.73 19071.50 16967.99 29246.42 24967.58 23278.81 15850.72 23978.13 13980.34 23350.15 24380.34 14660.18 16184.65 21687.74 49
EI-MVSNet69.61 17569.01 18471.41 17073.94 23749.90 21571.31 18371.32 23758.22 14675.40 18570.44 32858.16 19375.85 21662.51 14379.81 27488.48 43
GeoE73.14 12873.77 12171.26 17178.09 17352.64 20174.32 15079.56 14856.32 17076.35 17683.36 20070.76 7977.96 19363.32 13981.84 24983.18 152
ET-MVSNet_ETH3D63.32 24460.69 26671.20 17270.15 27755.66 18265.02 27064.32 28343.28 30168.99 26472.05 32025.46 36378.19 19054.16 21582.80 23979.74 221
PAPR69.20 18268.66 19170.82 17375.15 21447.77 23575.31 13581.11 11849.62 25266.33 28279.27 24861.53 16182.96 9848.12 25681.50 25681.74 185
casdiffmvs73.06 13273.84 11870.72 17471.32 26446.71 24770.93 18984.26 7055.62 17677.46 15087.10 12467.09 11077.81 19563.95 12986.83 19087.64 50
HyFIR lowres test63.01 24860.47 26770.61 17583.04 10854.10 19159.93 31272.24 22733.67 34869.00 26375.63 28238.69 30676.93 20636.60 32575.45 30580.81 203
Anonymous2023121175.54 9677.19 8570.59 17677.67 18245.70 25774.73 14580.19 13868.80 5682.95 8192.91 866.26 12176.76 21158.41 17692.77 7989.30 26
MSLP-MVS++74.48 11175.78 9770.59 17684.66 8162.40 12978.65 9484.24 7160.55 12977.71 14781.98 21463.12 14577.64 19962.95 14288.14 16371.73 292
baseline73.10 12973.96 11770.51 17871.46 26346.39 25172.08 16684.40 6555.95 17376.62 16786.46 15167.20 10978.03 19264.22 12687.27 18287.11 61
DELS-MVS68.83 18668.31 19270.38 17970.55 27348.31 22663.78 28482.13 9954.00 20368.96 26575.17 28758.95 18780.06 15558.55 17482.74 24082.76 164
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
Fast-Effi-MVS+68.81 18768.30 19370.35 18074.66 22648.61 22466.06 25578.32 16850.62 24071.48 24175.54 28368.75 9579.59 16050.55 23778.73 28482.86 161
xiu_mvs_v1_base_debu67.87 19967.07 21170.26 18179.13 15961.90 13367.34 23671.25 24047.98 26467.70 27374.19 30161.31 16372.62 25156.51 18678.26 28976.27 254
xiu_mvs_v1_base67.87 19967.07 21170.26 18179.13 15961.90 13367.34 23671.25 24047.98 26467.70 27374.19 30161.31 16372.62 25156.51 18678.26 28976.27 254
xiu_mvs_v1_base_debi67.87 19967.07 21170.26 18179.13 15961.90 13367.34 23671.25 24047.98 26467.70 27374.19 30161.31 16372.62 25156.51 18678.26 28976.27 254
EG-PatchMatch MVS70.70 16270.88 16670.16 18482.64 11658.80 16571.48 17873.64 21354.98 18176.55 16981.77 21761.10 16878.94 16754.87 20480.84 26372.74 282
BH-RMVSNet68.69 19068.20 19870.14 18576.40 19853.90 19464.62 27473.48 21458.01 14873.91 20881.78 21659.09 18578.22 18748.59 25177.96 29278.31 235
bset_n11_16_dypcd66.91 21265.84 22070.12 18672.95 25353.54 19563.64 28568.65 26048.54 26072.54 22474.28 29840.58 29678.54 17463.52 13787.82 17078.29 236
ambc70.10 18777.74 18050.21 21374.28 15277.93 17679.26 12688.29 11354.11 22379.77 15764.43 12491.10 10980.30 213
cascas64.59 23162.77 24970.05 18875.27 21150.02 21461.79 29971.61 23042.46 30363.68 30068.89 34349.33 24780.35 14547.82 25984.05 22579.78 220
新几何169.99 18988.37 3671.34 5762.08 29543.85 29174.99 18886.11 16352.85 22870.57 27250.99 23383.23 23768.05 320
TAMVS65.31 22263.75 23869.97 19082.23 12159.76 15766.78 24963.37 28845.20 28469.79 25879.37 24747.42 26072.17 25734.48 33685.15 21077.99 244
UniMVSNet_ETH3D76.74 8579.02 6869.92 19189.27 2043.81 26774.47 14971.70 22972.33 3785.50 4993.65 377.98 2276.88 20854.60 20791.64 9489.08 31
ACMH63.62 1477.50 7980.11 6069.68 19279.61 14856.28 17778.81 9283.62 8163.41 10887.14 3190.23 7276.11 3473.32 24467.58 10294.44 4179.44 223
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
c3_l69.82 17369.89 17469.61 19366.24 30743.48 27168.12 22779.61 14651.43 23077.72 14680.18 23754.61 22178.15 19163.62 13487.50 17487.20 59
API-MVS70.97 16071.51 16069.37 19475.20 21255.94 17980.99 6576.84 18762.48 11571.24 24377.51 27261.51 16280.96 13852.04 22485.76 20171.22 297
v14869.38 18069.39 17769.36 19569.14 28544.56 26268.83 21372.70 22154.79 18578.59 13184.12 18754.69 21976.74 21259.40 17082.20 24486.79 64
CDS-MVSNet64.33 23762.66 25069.35 19680.44 14258.28 16965.26 26765.66 27244.36 28967.30 27875.54 28343.27 27871.77 26337.68 31784.44 22178.01 243
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
jason64.47 23462.84 24869.34 19776.91 19259.20 15867.15 24165.67 27135.29 33865.16 28876.74 27744.67 27070.68 27054.74 20579.28 28078.14 240
jason: jason.
BH-untuned69.39 17969.46 17669.18 19877.96 17656.88 17468.47 22477.53 18056.77 16477.79 14579.63 24360.30 17480.20 15246.04 27180.65 26570.47 302
alignmvs70.54 16471.00 16569.15 19973.50 24048.04 23269.85 20179.62 14453.94 20676.54 17082.00 21359.00 18674.68 23357.32 18187.21 18384.72 102
canonicalmvs72.29 14973.38 12869.04 20074.23 23147.37 24173.93 15483.18 8554.36 19376.61 16881.64 22072.03 6675.34 22457.12 18287.28 18184.40 118
cl2267.14 20866.51 21569.03 20163.20 32843.46 27266.88 24876.25 19149.22 25474.48 19877.88 26845.49 26577.40 20160.64 15984.59 21886.24 69
miper_ehance_all_eth68.36 19368.16 19968.98 20265.14 31843.34 27367.07 24378.92 15749.11 25676.21 17777.72 26953.48 22577.92 19461.16 15484.59 21885.68 83
lupinMVS63.36 24361.49 25868.97 20374.93 21559.19 15965.80 26064.52 28234.68 34363.53 30274.25 29943.19 27970.62 27153.88 21778.67 28577.10 249
QAPM69.18 18369.26 17968.94 20471.61 26252.58 20280.37 7378.79 16049.63 25173.51 21085.14 17753.66 22479.12 16455.11 20275.54 30375.11 263
FC-MVSNet-test73.32 12674.78 10668.93 20579.21 15636.57 32271.82 17679.54 14957.63 15682.57 8890.38 6459.38 18378.99 16657.91 17994.56 3591.23 12
VDD-MVS70.81 16171.44 16168.91 20679.07 16246.51 24867.82 23070.83 24861.23 12174.07 20688.69 10359.86 17875.62 22151.11 23190.28 12884.61 107
Anonymous2024052972.56 14573.79 12068.86 20776.89 19445.21 25968.80 21677.25 18567.16 6576.89 16090.44 5565.95 12474.19 24050.75 23490.00 13587.18 60
FIs72.56 14573.80 11968.84 20878.74 16737.74 31671.02 18779.83 14356.12 17180.88 11089.45 8558.18 19278.28 18656.63 18593.36 7090.51 19
OpenMVScopyleft62.51 1568.76 18868.75 18868.78 20970.56 27253.91 19378.29 10077.35 18248.85 25870.22 25483.52 19452.65 22976.93 20655.31 20181.99 24675.49 258
PVSNet_BlendedMVS65.38 22164.30 23368.61 21069.81 27849.36 21965.60 26478.96 15545.50 27959.98 31978.61 25851.82 23278.20 18844.30 27884.11 22478.27 237
MVP-Stereo61.56 26259.22 27468.58 21179.28 15360.44 15069.20 20871.57 23143.58 29656.42 33378.37 26139.57 30376.46 21434.86 33560.16 35768.86 318
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MVSTER63.29 24561.60 25768.36 21259.77 34846.21 25260.62 30771.32 23741.83 30575.40 18579.12 25330.25 34975.85 21656.30 19179.81 27483.03 156
thisisatest051560.48 27157.86 28568.34 21367.25 29946.42 24960.58 30862.14 29340.82 31363.58 30169.12 33926.28 35978.34 18448.83 24882.13 24580.26 214
cl____68.26 19768.26 19468.29 21464.98 31943.67 26965.89 25774.67 20750.04 24776.86 16282.42 21048.74 25275.38 22260.92 15789.81 14085.80 81
DIV-MVS_self_test68.27 19668.26 19468.29 21464.98 31943.67 26965.89 25774.67 20750.04 24776.86 16282.43 20948.74 25275.38 22260.94 15689.81 14085.81 77
miper_enhance_ethall65.86 21765.05 23268.28 21661.62 33642.62 28064.74 27277.97 17442.52 30273.42 21372.79 31149.66 24477.68 19858.12 17784.59 21884.54 111
LF4IMVS67.50 20467.31 20968.08 21758.86 35161.93 13271.43 17975.90 19544.67 28872.42 22680.20 23557.16 20470.44 27458.99 17286.12 19771.88 290
IB-MVS49.67 1859.69 27656.96 29167.90 21868.19 29050.30 21261.42 30165.18 27647.57 27055.83 33667.15 35323.77 36879.60 15943.56 28479.97 27273.79 273
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
MG-MVS70.47 16571.34 16267.85 21979.26 15440.42 29774.67 14875.15 20558.41 14568.74 26988.14 11856.08 21583.69 8259.90 16681.71 25379.43 224
RPMNet65.77 21965.08 23167.84 22066.37 30448.24 22870.93 18986.27 2354.66 18861.35 31086.77 13733.29 32585.67 4655.93 19470.17 33369.62 311
pmmvs-eth3d64.41 23663.27 24467.82 22175.81 20860.18 15269.49 20362.05 29738.81 32374.13 20382.23 21243.76 27668.65 28442.53 28780.63 26774.63 266
RRT_test8_iter0565.80 21865.13 22767.80 22267.02 30240.85 29267.13 24275.33 20149.73 24972.69 22181.32 22124.45 36777.37 20261.69 14986.82 19185.18 87
TR-MVS64.59 23163.54 24167.73 22375.75 20950.83 20863.39 28870.29 25149.33 25371.55 23974.55 29350.94 23878.46 17840.43 30075.69 30173.89 272
MSDG67.47 20667.48 20767.46 22470.70 26954.69 18866.90 24778.17 17160.88 12570.41 25174.76 28961.22 16773.18 24547.38 26176.87 29574.49 267
WR-MVS71.20 15672.48 14467.36 22584.98 7635.70 33064.43 27768.66 25965.05 8981.49 10086.43 15257.57 20376.48 21350.36 23893.32 7189.90 21
MVS_Test69.84 17270.71 16867.24 22667.49 29843.25 27569.87 20081.22 11752.69 21771.57 23886.68 14162.09 15674.51 23566.05 11278.74 28383.96 127
D2MVS62.58 25461.05 26267.20 22763.85 32447.92 23356.29 32669.58 25439.32 31870.07 25578.19 26434.93 32172.68 24953.44 22183.74 23081.00 195
diffmvs67.42 20767.50 20667.20 22762.26 33245.21 25964.87 27177.04 18648.21 26271.74 23279.70 24258.40 19171.17 26864.99 12080.27 26985.22 85
PM-MVS64.49 23363.61 24067.14 22976.68 19675.15 3268.49 22342.85 35951.17 23577.85 14380.51 23045.76 26166.31 30452.83 22376.35 29759.96 352
VDDNet71.60 15473.13 13467.02 23086.29 5341.11 28869.97 19866.50 26968.72 5874.74 19291.70 2459.90 17775.81 21848.58 25291.72 9184.15 125
GBi-Net68.30 19468.79 18666.81 23173.14 24740.68 29371.96 17073.03 21554.81 18274.72 19390.36 6748.63 25475.20 22647.12 26285.37 20384.54 111
test168.30 19468.79 18666.81 23173.14 24740.68 29371.96 17073.03 21554.81 18274.72 19390.36 6748.63 25475.20 22647.12 26285.37 20384.54 111
FMVSNet171.06 15772.48 14466.81 23177.65 18340.68 29371.96 17073.03 21561.14 12279.45 12490.36 6760.44 17275.20 22650.20 23988.05 16584.54 111
PVSNet_Blended62.90 25061.64 25566.69 23469.81 27849.36 21961.23 30378.96 15542.04 30459.98 31968.86 34451.82 23278.20 18844.30 27877.77 29472.52 283
GA-MVS62.91 24961.66 25466.66 23567.09 30144.49 26361.18 30469.36 25651.33 23269.33 26174.47 29436.83 31674.94 22950.60 23674.72 31080.57 210
BH-w/o64.81 22864.29 23466.36 23676.08 20454.71 18765.61 26375.23 20450.10 24671.05 24771.86 32154.33 22279.02 16538.20 31476.14 29965.36 334
pmmvs671.82 15273.66 12366.31 23775.94 20642.01 28366.99 24472.53 22363.45 10676.43 17492.78 1072.95 6469.69 27851.41 22990.46 12687.22 57
dcpmvs_271.02 15972.65 14266.16 23876.06 20550.49 21071.97 16979.36 15050.34 24282.81 8583.63 19364.38 14067.27 29561.54 15083.71 23280.71 207
PAPM61.79 26160.37 26866.05 23976.09 20341.87 28469.30 20676.79 18940.64 31553.80 34579.62 24444.38 27282.92 9929.64 35473.11 31973.36 276
pmmvs460.78 26859.04 27666.00 24073.06 25257.67 17164.53 27660.22 30236.91 33265.96 28377.27 27339.66 30268.54 28538.87 30774.89 30971.80 291
PS-MVSNAJ64.27 23863.73 23965.90 24177.82 17951.42 20563.33 28972.33 22545.09 28661.60 30868.04 34762.39 15273.95 24249.07 24673.87 31672.34 285
xiu_mvs_v2_base64.43 23563.96 23665.85 24277.72 18151.32 20663.63 28672.31 22645.06 28761.70 30769.66 33662.56 14873.93 24349.06 24773.91 31572.31 286
FMVSNet267.48 20568.21 19765.29 24373.14 24738.94 30668.81 21471.21 24354.81 18276.73 16686.48 15048.63 25474.60 23447.98 25786.11 19882.35 175
test_yl65.11 22365.09 22965.18 24470.59 27040.86 29063.22 29272.79 21857.91 14968.88 26679.07 25542.85 28274.89 23045.50 27484.97 21179.81 218
DCV-MVSNet65.11 22365.09 22965.18 24470.59 27040.86 29063.22 29272.79 21857.91 14968.88 26679.07 25542.85 28274.89 23045.50 27484.97 21179.81 218
IterMVS63.12 24762.48 25165.02 24666.34 30652.86 19963.81 28262.25 29246.57 27671.51 24080.40 23244.60 27166.82 30051.38 23075.47 30475.38 261
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CANet_DTU64.04 24063.83 23764.66 24768.39 28642.97 27773.45 15574.50 21052.05 22354.78 33975.44 28643.99 27470.42 27553.49 22078.41 28880.59 209
LFMVS67.06 21067.89 20164.56 24878.02 17438.25 31170.81 19259.60 30465.18 8771.06 24686.56 14843.85 27575.22 22546.35 26989.63 14380.21 215
FMVSNet365.00 22665.16 22464.52 24969.47 28137.56 31966.63 25070.38 25051.55 22974.72 19383.27 20337.89 31274.44 23647.12 26285.37 20381.57 187
MDA-MVSNet-bldmvs62.34 25761.73 25364.16 25061.64 33549.90 21548.11 34757.24 31653.31 21180.95 10679.39 24649.00 25061.55 32245.92 27280.05 27181.03 193
testdata64.13 25185.87 6563.34 12561.80 29947.83 26776.42 17586.60 14748.83 25162.31 32054.46 21081.26 25766.74 329
TinyColmap67.98 19869.28 17864.08 25267.98 29346.82 24570.04 19775.26 20353.05 21277.36 15186.79 13459.39 18272.59 25445.64 27388.01 16772.83 280
baseline255.57 29652.74 31064.05 25365.26 31444.11 26562.38 29554.43 32739.03 32151.21 35067.35 35133.66 32472.45 25537.14 32264.22 35175.60 257
pm-mvs168.40 19269.85 17564.04 25473.10 25039.94 29964.61 27570.50 24955.52 17773.97 20789.33 8663.91 14368.38 28649.68 24388.02 16683.81 131
mvs_anonymous65.08 22565.49 22163.83 25563.79 32537.60 31866.52 25269.82 25343.44 29773.46 21286.08 16458.79 18971.75 26551.90 22675.63 30282.15 179
VPA-MVSNet68.71 18970.37 17163.72 25676.13 20238.06 31464.10 27971.48 23456.60 16974.10 20588.31 11264.78 13869.72 27747.69 26090.15 13283.37 146
ECVR-MVScopyleft64.82 22765.22 22263.60 25778.80 16531.14 35466.97 24556.47 32054.23 19669.94 25688.68 10437.23 31474.81 23245.28 27689.41 14984.86 96
TransMVSNet (Re)69.62 17471.63 15663.57 25876.51 19735.93 32865.75 26171.29 23961.05 12375.02 18789.90 7965.88 12670.41 27649.79 24189.48 14784.38 119
CMPMVSbinary48.73 2061.54 26360.89 26363.52 25961.08 33951.55 20468.07 22868.00 26433.88 34565.87 28481.25 22337.91 31167.71 28949.32 24582.60 24171.31 296
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
CHOSEN 1792x268858.09 28556.30 29663.45 26079.95 14550.93 20754.07 33465.59 27328.56 36361.53 30974.33 29641.09 29266.52 30333.91 33967.69 34572.92 279
Anonymous20240521166.02 21666.89 21463.43 26174.22 23238.14 31259.00 31666.13 27063.33 10969.76 25985.95 16851.88 23170.50 27344.23 28087.52 17381.64 186
MVS_030462.51 25562.27 25263.25 26269.39 28248.47 22564.05 28162.48 29159.69 13654.10 34481.04 22545.71 26266.31 30441.38 29582.58 24274.96 264
thres40060.77 26959.97 27063.15 26370.78 26735.35 33263.27 29057.47 31153.00 21368.31 27077.09 27432.45 33272.09 25835.61 33281.73 25082.02 180
thres600view761.82 26061.38 25963.12 26471.81 26134.93 33564.64 27356.99 31754.78 18670.33 25379.74 24132.07 33572.42 25638.61 31083.46 23482.02 180
OpenMVS_ROBcopyleft54.93 1763.23 24663.28 24363.07 26569.81 27845.34 25868.52 22267.14 26543.74 29470.61 25079.22 25047.90 25872.66 25048.75 24973.84 31771.21 298
miper_lstm_enhance61.97 25861.63 25662.98 26660.04 34445.74 25647.53 34970.95 24544.04 29073.06 21778.84 25739.72 30160.33 32455.82 19684.64 21782.88 159
KD-MVS_self_test66.38 21567.51 20562.97 26761.76 33434.39 33958.11 32175.30 20250.84 23877.12 15485.42 17356.84 21069.44 27951.07 23291.16 10685.08 91
test111164.62 23065.19 22362.93 26879.01 16329.91 35865.45 26554.41 32854.09 20171.47 24288.48 10737.02 31574.29 23946.83 26789.94 13884.58 110
Baseline_NR-MVSNet70.62 16373.19 13262.92 26976.97 19034.44 33868.84 21270.88 24760.25 13179.50 12390.53 5261.82 15869.11 28254.67 20695.27 1485.22 85
131459.83 27558.86 27862.74 27065.71 31244.78 26168.59 21972.63 22233.54 35061.05 31467.29 35243.62 27771.26 26749.49 24467.84 34472.19 288
MVS60.62 27059.97 27062.58 27168.13 29147.28 24268.59 21973.96 21232.19 35259.94 32168.86 34450.48 24077.64 19941.85 29275.74 30062.83 344
Patchmatch-RL test59.95 27459.12 27562.44 27272.46 25654.61 18959.63 31347.51 35241.05 31274.58 19774.30 29731.06 34365.31 30651.61 22779.85 27367.39 322
test250661.23 26460.85 26462.38 27378.80 16527.88 36467.33 23937.42 37254.23 19667.55 27688.68 10417.87 37674.39 23746.33 27089.41 14984.86 96
ppachtmachnet_test60.26 27359.61 27362.20 27467.70 29644.33 26458.18 32060.96 30140.75 31465.80 28572.57 31241.23 28963.92 31346.87 26682.42 24378.33 234
tfpnnormal66.48 21467.93 20062.16 27573.40 24336.65 32163.45 28764.99 27755.97 17272.82 22087.80 12157.06 20869.10 28348.31 25587.54 17280.72 206
USDC62.80 25163.10 24661.89 27665.19 31543.30 27467.42 23574.20 21135.80 33772.25 22884.48 18345.67 26371.95 26237.95 31684.97 21170.42 304
LCM-MVSNet-Re69.10 18471.57 15961.70 27770.37 27434.30 34061.45 30079.62 14456.81 16389.59 888.16 11768.44 9972.94 24742.30 28887.33 17977.85 245
PatchMatch-RL58.68 28357.72 28661.57 27876.21 20173.59 4461.83 29849.00 34847.30 27261.08 31268.97 34150.16 24259.01 32836.06 33168.84 34052.10 359
tfpn200view960.35 27259.97 27061.51 27970.78 26735.35 33263.27 29057.47 31153.00 21368.31 27077.09 27432.45 33272.09 25835.61 33281.73 25077.08 250
CVMVSNet59.21 27958.44 28261.51 27973.94 23747.76 23671.31 18364.56 28126.91 36760.34 31870.44 32836.24 31867.65 29053.57 21968.66 34169.12 316
thres100view90061.17 26561.09 26161.39 28172.14 25935.01 33465.42 26656.99 31755.23 17970.71 24979.90 23932.07 33572.09 25835.61 33281.73 25077.08 250
Vis-MVSNet (Re-imp)62.74 25263.21 24561.34 28272.19 25831.56 35167.31 24053.87 32953.60 20969.88 25783.37 19840.52 29770.98 26941.40 29486.78 19281.48 188
JIA-IIPM54.03 30251.62 31461.25 28359.14 35055.21 18559.10 31547.72 35150.85 23750.31 35685.81 17020.10 37363.97 31236.16 33055.41 36864.55 341
ab-mvs64.11 23965.13 22761.05 28471.99 26038.03 31567.59 23168.79 25849.08 25765.32 28786.26 15658.02 20066.85 29939.33 30479.79 27678.27 237
CostFormer57.35 28956.14 29760.97 28563.76 32638.43 30867.50 23360.22 30237.14 33159.12 32476.34 27932.78 32971.99 26139.12 30669.27 33872.47 284
1112_ss59.48 27758.99 27760.96 28677.84 17842.39 28261.42 30168.45 26237.96 32759.93 32267.46 34945.11 26865.07 30840.89 29871.81 32475.41 260
EU-MVSNet60.82 26760.80 26560.86 28768.37 28741.16 28772.27 16368.27 26326.96 36669.08 26275.71 28132.09 33467.44 29255.59 19978.90 28273.97 270
VNet64.01 24165.15 22660.57 28873.28 24535.61 33157.60 32367.08 26654.61 18966.76 28183.37 19856.28 21366.87 29742.19 28985.20 20979.23 226
tpm256.12 29154.64 30460.55 28966.24 30736.01 32668.14 22656.77 31933.60 34958.25 32775.52 28530.25 34974.33 23833.27 34169.76 33771.32 295
CR-MVSNet58.96 28058.49 28160.36 29066.37 30448.24 22870.93 18956.40 32132.87 35161.35 31086.66 14233.19 32663.22 31748.50 25370.17 33369.62 311
SCA58.57 28458.04 28460.17 29170.17 27641.07 28965.19 26853.38 33443.34 30061.00 31573.48 30545.20 26669.38 28040.34 30170.31 33270.05 306
EPNet_dtu58.93 28158.52 28060.16 29267.91 29447.70 23769.97 19858.02 30849.73 24947.28 36073.02 31038.14 30862.34 31936.57 32685.99 19970.43 303
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Gipumacopyleft69.55 17672.83 14059.70 29363.63 32753.97 19280.08 8075.93 19464.24 9773.49 21188.93 10157.89 20162.46 31859.75 16891.55 9862.67 346
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
VPNet65.58 22067.56 20459.65 29479.72 14730.17 35760.27 31062.14 29354.19 19971.24 24386.63 14558.80 18867.62 29144.17 28190.87 11981.18 190
CL-MVSNet_self_test62.44 25663.40 24259.55 29572.34 25732.38 34756.39 32564.84 27851.21 23467.46 27781.01 22650.75 23963.51 31638.47 31288.12 16482.75 165
thres20057.55 28857.02 29059.17 29667.89 29534.93 33558.91 31857.25 31550.24 24364.01 29671.46 32432.49 33171.39 26631.31 34679.57 27871.19 299
HY-MVS49.31 1957.96 28657.59 28759.10 29766.85 30336.17 32565.13 26965.39 27539.24 32054.69 34178.14 26544.28 27367.18 29633.75 34070.79 32973.95 271
Test_1112_low_res58.78 28258.69 27959.04 29879.41 15138.13 31357.62 32266.98 26734.74 34159.62 32377.56 27142.92 28163.65 31538.66 30970.73 33075.35 262
DWT-MVSNet_test53.04 30651.12 31958.77 29961.23 33738.67 30762.16 29757.74 30938.24 32451.76 34959.07 36321.36 37067.40 29344.80 27763.76 35270.25 305
patch_mono-262.73 25364.08 23558.68 30070.36 27555.87 18060.84 30664.11 28441.23 30964.04 29578.22 26360.00 17548.80 34254.17 21483.71 23271.37 294
MIMVSNet166.57 21369.23 18058.59 30181.26 13537.73 31764.06 28057.62 31057.02 16078.40 13690.75 4562.65 14758.10 33141.77 29389.58 14679.95 217
ANet_high67.08 20969.94 17358.51 30257.55 35627.09 36558.43 31976.80 18863.56 10382.40 9091.93 2059.82 17964.98 30950.10 24088.86 15983.46 143
tpm cat154.02 30352.63 31158.19 30364.85 32139.86 30066.26 25457.28 31432.16 35356.90 33070.39 33032.75 33065.30 30734.29 33758.79 36069.41 313
MS-PatchMatch55.59 29554.89 30357.68 30469.18 28349.05 22161.00 30562.93 29035.98 33558.36 32668.93 34236.71 31766.59 30237.62 31963.30 35357.39 355
FPMVS59.43 27860.07 26957.51 30577.62 18471.52 5462.33 29650.92 34157.40 15869.40 26080.00 23839.14 30461.92 32137.47 32066.36 34639.09 369
tpmvs55.84 29255.45 30257.01 30660.33 34333.20 34565.89 25759.29 30647.52 27156.04 33473.60 30431.05 34468.06 28840.64 29964.64 34969.77 309
our_test_356.46 29056.51 29456.30 30767.70 29639.66 30155.36 33152.34 33940.57 31663.85 29769.91 33540.04 29958.22 33043.49 28575.29 30871.03 301
baseline157.82 28758.36 28356.19 30869.17 28430.76 35662.94 29455.21 32446.04 27863.83 29878.47 25941.20 29063.68 31439.44 30368.99 33974.13 269
Anonymous2024052163.55 24266.07 21855.99 30966.18 30944.04 26668.77 21768.80 25746.99 27372.57 22285.84 16939.87 30050.22 34053.40 22292.23 8873.71 274
PatchmatchNetpermissive54.60 29954.27 30555.59 31065.17 31739.08 30366.92 24651.80 34039.89 31758.39 32573.12 30931.69 33758.33 32943.01 28658.38 36369.38 314
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
N_pmnet52.06 31251.11 32054.92 31159.64 34971.03 5937.42 36561.62 30033.68 34757.12 32872.10 31337.94 31031.03 37129.13 35871.35 32562.70 345
Patchmtry60.91 26663.01 24754.62 31266.10 31026.27 36867.47 23456.40 32154.05 20272.04 23186.66 14233.19 32660.17 32543.69 28287.45 17677.42 246
FMVSNet555.08 29855.54 30153.71 31365.80 31133.50 34456.22 32752.50 33843.72 29561.06 31383.38 19725.46 36354.87 33430.11 35181.64 25572.75 281
KD-MVS_2432*160052.05 31351.58 31553.44 31452.11 37231.20 35244.88 35664.83 27941.53 30764.37 29170.03 33315.61 38064.20 31036.25 32774.61 31164.93 338
miper_refine_blended52.05 31351.58 31553.44 31452.11 37231.20 35244.88 35664.83 27941.53 30764.37 29170.03 33315.61 38064.20 31036.25 32774.61 31164.93 338
ADS-MVSNet248.76 32147.25 32953.29 31655.90 36340.54 29647.34 35054.99 32631.41 35950.48 35372.06 31831.23 34054.26 33625.93 36255.93 36565.07 336
PVSNet43.83 2151.56 31551.17 31852.73 31768.34 28838.27 31048.22 34653.56 33236.41 33354.29 34264.94 35634.60 32254.20 33730.34 34969.87 33565.71 333
gg-mvs-nofinetune55.75 29356.75 29352.72 31862.87 32928.04 36368.92 21141.36 36771.09 4450.80 35292.63 1220.74 37166.86 29829.97 35272.41 32163.25 343
GG-mvs-BLEND52.24 31960.64 34229.21 36169.73 20242.41 36045.47 36252.33 36720.43 37268.16 28725.52 36565.42 34859.36 353
pmmvs552.49 31052.58 31252.21 32054.99 36732.38 34755.45 33053.84 33032.15 35455.49 33874.81 28838.08 30957.37 33234.02 33874.40 31366.88 326
pmmvs346.71 32645.09 33351.55 32156.76 35948.25 22755.78 32939.53 37124.13 37050.35 35563.40 35715.90 37951.08 33829.29 35670.69 33155.33 358
test20.0355.74 29457.51 28850.42 32259.89 34732.09 34950.63 34149.01 34750.11 24565.07 28983.23 20445.61 26448.11 34530.22 35083.82 22971.07 300
YYNet152.58 30853.50 30749.85 32354.15 37036.45 32440.53 36046.55 35438.09 32675.52 18373.31 30841.08 29343.88 35841.10 29671.14 32869.21 315
MDA-MVSNet_test_wron52.57 30953.49 30849.81 32454.24 36936.47 32340.48 36146.58 35338.13 32575.47 18473.32 30741.05 29443.85 35940.98 29771.20 32769.10 317
test-LLR50.43 31750.69 32249.64 32560.76 34041.87 28453.18 33645.48 35543.41 29849.41 35760.47 36129.22 35444.73 35542.09 29072.14 32262.33 348
test-mter48.56 32248.20 32749.64 32560.76 34041.87 28453.18 33645.48 35531.91 35749.41 35760.47 36118.34 37444.73 35542.09 29072.14 32262.33 348
MIMVSNet54.39 30056.12 29849.20 32772.57 25530.91 35559.98 31148.43 35041.66 30655.94 33583.86 19141.19 29150.42 33926.05 36175.38 30666.27 330
UnsupCasMVSNet_eth52.26 31153.29 30949.16 32855.08 36633.67 34350.03 34258.79 30737.67 32863.43 30474.75 29041.82 28745.83 34838.59 31159.42 35967.98 321
wuyk23d61.97 25866.25 21649.12 32958.19 35560.77 14866.32 25352.97 33655.93 17490.62 586.91 13073.07 6235.98 36920.63 37191.63 9550.62 360
Anonymous2023120654.13 30155.82 29949.04 33070.89 26635.96 32751.73 33950.87 34234.86 33962.49 30579.22 25042.52 28544.29 35727.95 35981.88 24866.88 326
XXY-MVS55.19 29757.40 28948.56 33164.45 32234.84 33751.54 34053.59 33138.99 32263.79 29979.43 24556.59 21145.57 34936.92 32471.29 32665.25 335
UnsupCasMVSNet_bld50.01 31951.03 32146.95 33258.61 35232.64 34648.31 34553.27 33534.27 34460.47 31771.53 32341.40 28847.07 34630.68 34860.78 35661.13 350
PMMVS44.69 33143.95 33846.92 33350.05 37553.47 19748.08 34842.40 36122.36 37144.01 36853.05 36642.60 28445.49 35031.69 34561.36 35541.79 367
CHOSEN 280x42041.62 33639.89 34146.80 33461.81 33351.59 20333.56 36735.74 37427.48 36537.64 37353.53 36523.24 36942.09 36327.39 36058.64 36146.72 364
WTY-MVS49.39 32050.31 32346.62 33561.22 33832.00 35046.61 35249.77 34533.87 34654.12 34369.55 33841.96 28645.40 35131.28 34764.42 35062.47 347
tpmrst50.15 31851.38 31746.45 33656.05 36124.77 37064.40 27849.98 34436.14 33453.32 34669.59 33735.16 32048.69 34339.24 30558.51 36265.89 331
test0.0.03 147.72 32448.31 32645.93 33755.53 36529.39 35946.40 35341.21 36843.41 29855.81 33767.65 34829.22 35443.77 36025.73 36469.87 33564.62 340
TESTMET0.1,145.17 32944.93 33445.89 33856.02 36238.31 30953.18 33641.94 36527.85 36444.86 36556.47 36417.93 37541.50 36638.08 31568.06 34257.85 354
testgi54.00 30456.86 29245.45 33958.20 35425.81 36949.05 34349.50 34645.43 28267.84 27281.17 22451.81 23443.20 36129.30 35579.41 27967.34 324
sss47.59 32548.32 32545.40 34056.73 36033.96 34145.17 35548.51 34932.11 35652.37 34865.79 35440.39 29841.91 36531.85 34461.97 35460.35 351
tpm50.60 31652.42 31345.14 34165.18 31626.29 36760.30 30943.50 35737.41 32957.01 32979.09 25430.20 35142.32 36232.77 34366.36 34666.81 328
EMVS44.61 33344.45 33745.10 34248.91 37643.00 27637.92 36441.10 36946.75 27538.00 37248.43 37026.42 35846.27 34737.11 32375.38 30646.03 365
E-PMN45.17 32945.36 33244.60 34350.07 37442.75 27838.66 36342.29 36346.39 27739.55 37051.15 36826.00 36045.37 35237.68 31776.41 29645.69 366
new-patchmatchnet52.89 30755.76 30044.26 34459.94 3466.31 37937.36 36650.76 34341.10 31064.28 29379.82 24044.77 26948.43 34436.24 32987.61 17178.03 242
PatchT53.35 30556.47 29543.99 34564.19 32317.46 37659.15 31443.10 35852.11 22254.74 34086.95 12929.97 35249.98 34143.62 28374.40 31364.53 342
EPMVS45.74 32746.53 33043.39 34654.14 37122.33 37355.02 33235.00 37534.69 34251.09 35170.20 33225.92 36142.04 36437.19 32155.50 36765.78 332
PVSNet_036.71 2241.12 33740.78 34042.14 34759.97 34540.13 29840.97 35942.24 36430.81 36144.86 36549.41 36940.70 29545.12 35323.15 36834.96 37241.16 368
Patchmatch-test47.93 32349.96 32441.84 34857.42 35724.26 37148.75 34441.49 36639.30 31956.79 33173.48 30530.48 34833.87 37029.29 35672.61 32067.39 322
ADS-MVSNet44.62 33245.58 33141.73 34955.90 36320.83 37447.34 35039.94 37031.41 35950.48 35372.06 31831.23 34039.31 36725.93 36255.93 36565.07 336
dp44.09 33444.88 33541.72 35058.53 35323.18 37254.70 33342.38 36234.80 34044.25 36765.61 35524.48 36644.80 35429.77 35349.42 37057.18 356
MVS-HIRNet45.53 32847.29 32840.24 35162.29 33126.82 36656.02 32837.41 37329.74 36243.69 36981.27 22233.96 32355.48 33324.46 36756.79 36438.43 370
MVEpermissive27.91 2336.69 34035.64 34339.84 35243.37 37735.85 32919.49 36924.61 37924.68 36939.05 37162.63 35938.67 30727.10 37421.04 37047.25 37156.56 357
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DSMNet-mixed43.18 33544.66 33638.75 35354.75 36828.88 36257.06 32427.42 37813.47 37247.27 36177.67 27038.83 30539.29 36825.32 36660.12 35848.08 362
new_pmnet37.55 33939.80 34230.79 35456.83 35816.46 37739.35 36230.65 37625.59 36845.26 36361.60 36024.54 36528.02 37321.60 36952.80 36947.90 363
PMMVS237.74 33840.87 33928.36 35542.41 3785.35 38024.61 36827.75 37732.15 35447.85 35970.27 33135.85 31929.51 37219.08 37267.85 34350.22 361
test_method19.26 34119.12 34519.71 3569.09 3801.91 3827.79 37153.44 3331.42 37410.27 37635.80 37117.42 37725.11 37512.44 37324.38 37432.10 371
DeepMVS_CXcopyleft11.83 35715.51 37913.86 37811.25 3825.76 37320.85 37526.46 37217.06 3789.22 3769.69 37513.82 37512.42 372
tmp_tt11.98 34314.73 3463.72 3582.28 3814.62 38119.44 37014.50 3810.47 37621.55 3749.58 37425.78 3624.57 37711.61 37427.37 3731.96 373
testmvs4.06 3475.28 3500.41 3590.64 3830.16 38442.54 3580.31 3840.26 3780.50 3791.40 3780.77 3820.17 3780.56 3760.55 3770.90 374
test1234.43 3465.78 3490.39 3600.97 3820.28 38346.33 3540.45 3830.31 3770.62 3781.50 3770.61 3830.11 3790.56 3760.63 3760.77 375
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
cdsmvs_eth3d_5k17.71 34223.62 3440.00 3610.00 3840.00 3850.00 37270.17 2520.00 3790.00 38074.25 29968.16 1020.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas5.20 3456.93 3480.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37962.39 1520.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
ab-mvs-re5.62 3447.50 3470.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38067.46 3490.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
FOURS189.19 2577.84 1691.64 189.11 284.05 291.57 2
PC_three_145246.98 27481.83 9486.28 15466.55 11984.47 7163.31 14090.78 12083.49 139
test_one_060185.84 6761.45 13785.63 3375.27 1985.62 4790.38 6476.72 29
eth-test20.00 384
eth-test0.00 384
ZD-MVS83.91 9469.36 7681.09 12058.91 14482.73 8789.11 9575.77 3786.63 1372.73 6292.93 75
RE-MVS-def85.50 486.19 5579.18 987.23 986.27 2377.51 1187.65 1990.73 4681.38 778.11 2594.46 3884.89 94
IU-MVS86.12 5960.90 14480.38 13545.49 28181.31 10275.64 4494.39 4384.65 103
test_241102_TWO84.80 5172.61 3284.93 5689.70 8177.73 2385.89 3975.29 4594.22 5583.25 149
test_241102_ONE86.12 5961.06 14084.72 5572.64 3187.38 2589.47 8477.48 2485.74 43
9.1480.22 5980.68 13880.35 7487.69 1159.90 13383.00 8088.20 11474.57 5181.75 11973.75 5693.78 61
save fliter87.00 4367.23 9179.24 8777.94 17556.65 167
test_0728_THIRD74.03 2385.83 4290.41 5975.58 3985.69 4477.43 3394.74 3184.31 121
test072686.16 5760.78 14683.81 4285.10 4672.48 3485.27 5389.96 7778.57 18
GSMVS70.05 306
test_part285.90 6366.44 9884.61 63
sam_mvs131.41 33870.05 306
sam_mvs31.21 342
MTGPAbinary80.63 128
test_post166.63 2502.08 37530.66 34759.33 32740.34 301
test_post1.99 37630.91 34554.76 335
patchmatchnet-post68.99 34031.32 33969.38 280
MTMP84.83 3319.26 380
gm-plane-assit62.51 33033.91 34237.25 33062.71 35872.74 24838.70 308
test9_res72.12 7091.37 10177.40 247
TEST985.47 6969.32 7776.42 12178.69 16153.73 20876.97 15586.74 13866.84 11381.10 128
test_885.09 7567.89 8676.26 12678.66 16354.00 20376.89 16086.72 14066.60 11780.89 139
agg_prior270.70 7790.93 11478.55 233
agg_prior84.44 8766.02 10278.62 16476.95 15780.34 146
test_prior470.14 6977.57 107
test_prior275.57 13258.92 14276.53 17186.78 13567.83 10669.81 8292.76 80
旧先验271.17 18645.11 28578.54 13461.28 32359.19 171
新几何271.33 182
旧先验184.55 8460.36 15163.69 28687.05 12854.65 22083.34 23569.66 310
无先验74.82 14070.94 24647.75 26976.85 20954.47 20872.09 289
原ACMM274.78 144
test22287.30 4169.15 8067.85 22959.59 30541.06 31173.05 21885.72 17148.03 25780.65 26566.92 325
testdata267.30 29448.34 254
segment_acmp68.30 101
testdata168.34 22557.24 159
plane_prior785.18 7266.21 100
plane_prior684.18 9165.31 10760.83 170
plane_prior585.49 3586.15 2871.09 7490.94 11284.82 98
plane_prior489.11 95
plane_prior365.67 10463.82 10178.23 137
plane_prior282.74 5465.45 80
plane_prior184.46 86
plane_prior65.18 10880.06 8161.88 11989.91 139
n20.00 385
nn0.00 385
door-mid55.02 325
test1182.71 94
door52.91 337
HQP5-MVS58.80 165
HQP-NCC82.37 11777.32 11159.08 13871.58 235
ACMP_Plane82.37 11777.32 11159.08 13871.58 235
BP-MVS67.38 106
HQP4-MVS71.59 23485.31 5283.74 134
HQP3-MVS84.12 7489.16 152
HQP2-MVS58.09 195
NP-MVS83.34 10263.07 12885.97 166
MDTV_nov1_ep13_2view18.41 37553.74 33531.57 35844.89 36429.90 35332.93 34271.48 293
MDTV_nov1_ep1354.05 30665.54 31329.30 36059.00 31655.22 32335.96 33652.44 34775.98 28030.77 34659.62 32638.21 31373.33 318
ACMMP++_ref89.47 148
ACMMP++91.96 90
Test By Simon62.56 148