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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
LCM-MVSNet95.70 196.40 193.61 298.67 185.39 3495.54 597.36 196.97 199.04 199.05 196.61 195.92 1485.07 5299.27 199.54 1
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4796.29 1688.16 3594.17 9686.07 4398.48 1897.22 17
LTVRE_ROB86.10 193.04 393.44 291.82 2393.73 6685.72 3396.79 195.51 888.86 1495.63 896.99 884.81 7093.16 13991.10 197.53 7396.58 29
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
abl_693.02 493.16 492.60 494.73 4488.99 793.26 1294.19 3089.11 1294.43 1695.27 3791.86 395.09 6487.54 1898.02 4093.71 112
HPM-MVS_fast92.50 592.54 692.37 695.93 1685.81 3292.99 1394.23 2685.21 3492.51 5495.13 4190.65 1095.34 5488.06 998.15 3595.95 40
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6488.83 2495.51 4487.16 2897.60 6692.73 147
test117292.40 792.41 792.37 694.68 4589.04 691.98 3193.62 5790.14 1193.63 3694.16 8288.83 2495.51 4487.11 3097.54 7292.54 157
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4194.02 8890.15 1795.67 3386.82 3297.34 7992.19 176
HPM-MVScopyleft92.13 992.20 1191.91 1795.58 2684.67 4393.51 894.85 1682.88 5791.77 6893.94 9790.55 1395.73 3088.50 798.23 2995.33 53
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8185.17 3692.47 2695.05 1587.65 2493.21 4294.39 7090.09 1895.08 6586.67 3397.60 6694.18 91
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6786.15 2393.37 1095.10 1490.28 992.11 6095.03 4389.75 2194.93 6979.95 10798.27 2795.04 63
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 5794.14 8389.15 2395.62 3487.35 2398.24 2894.56 75
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
mPP-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 9983.09 5491.54 7094.25 7687.67 4395.51 4487.21 2798.11 3693.12 133
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 7994.00 8988.26 3295.71 3187.28 2698.39 2192.55 156
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9794.03 8786.57 5695.80 2487.35 2397.62 6494.20 89
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3091.81 11984.07 4092.00 6394.40 6886.63 5495.28 5788.59 598.31 2492.30 168
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9488.22 2088.53 13097.64 283.45 8394.55 8586.02 4698.60 1396.67 26
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7581.99 6691.40 7394.17 8187.51 4495.87 1887.74 1197.76 5693.99 97
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 5594.27 2382.35 6393.67 3494.82 4991.18 595.52 4285.36 5098.73 795.23 58
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8494.21 7787.75 4195.87 1887.60 1697.71 6093.83 104
HFP-MVS91.30 2191.39 2591.02 3395.43 2984.66 4492.58 2293.29 7381.99 6691.47 7193.96 9388.35 3095.56 3787.74 1197.74 5892.85 142
zzz-MVS91.27 2291.26 3391.29 2996.59 486.29 1988.94 8091.81 11984.07 4092.00 6394.40 6886.63 5495.28 5788.59 598.31 2492.30 168
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2894.22 2780.14 8991.29 7693.97 9087.93 4095.87 1888.65 497.96 4794.12 94
APDe-MVS91.22 2491.92 1389.14 6592.97 8378.04 9292.84 1694.14 3583.33 5193.90 2595.73 2688.77 2696.41 187.60 1697.98 4492.98 138
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 5593.90 4680.32 8691.74 6994.41 6788.17 3495.98 1186.37 3697.99 4293.96 99
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3893.48 6382.82 5892.60 5393.97 9088.19 3396.29 487.61 1598.20 3294.39 84
Skip Steuart: Steuart Systems R&D Blog.
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2793.03 8582.59 6088.52 13194.37 7186.74 5395.41 5186.32 3798.21 3093.19 131
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3693.74 5280.98 7991.38 7493.80 10087.20 4895.80 2487.10 3197.69 6193.93 100
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9394.51 2175.79 14192.94 4494.96 4488.36 2995.01 6790.70 298.40 2095.09 62
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMH+77.89 1190.73 3091.50 2388.44 8093.00 8276.26 12089.65 6695.55 787.72 2393.89 2794.94 4591.62 493.44 12978.35 12598.76 495.61 47
ACMMP_NAP90.65 3191.07 3889.42 6095.93 1679.54 7989.95 5893.68 5677.65 11791.97 6594.89 4688.38 2895.45 4989.27 397.87 5293.27 127
ACMM79.39 990.65 3190.99 4089.63 5695.03 3583.53 4989.62 6793.35 6679.20 10093.83 2893.60 10790.81 892.96 14685.02 5498.45 1992.41 162
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LS3D90.60 3390.34 5091.38 2789.03 18584.23 4793.58 694.68 1990.65 790.33 9193.95 9684.50 7295.37 5380.87 9795.50 14694.53 78
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 7694.05 4079.03 10392.87 4693.74 10490.60 1295.21 6182.87 7698.76 494.87 64
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
DPE-MVScopyleft90.53 3591.08 3688.88 6793.38 7378.65 8889.15 7794.05 4084.68 3893.90 2594.11 8588.13 3696.30 384.51 6097.81 5491.70 191
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4493.29 7377.00 12591.47 7193.96 9388.35 3095.56 3784.88 5597.74 5892.85 142
SED-MVS90.46 3791.64 1986.93 9994.18 5072.65 13990.47 4993.69 5483.77 4494.11 2394.27 7290.28 1595.84 2286.03 4497.92 4892.29 170
SMA-MVScopyleft90.31 3890.48 4989.83 5295.31 3179.52 8090.98 4293.24 7675.37 14892.84 4895.28 3685.58 6696.09 787.92 1097.76 5693.88 102
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
SF-MVS90.27 3990.80 4588.68 7592.86 8777.09 10991.19 4195.74 581.38 7492.28 5893.80 10086.89 5194.64 7885.52 4897.51 7494.30 87
v7n90.13 4090.96 4187.65 9291.95 11371.06 16689.99 5793.05 8286.53 2894.29 1996.27 1782.69 9094.08 10086.25 4097.63 6397.82 8
PMVScopyleft80.48 690.08 4190.66 4788.34 8396.71 392.97 190.31 5189.57 18088.51 1990.11 9395.12 4290.98 788.92 25177.55 14097.07 8683.13 316
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DVP-MVS++90.07 4291.09 3587.00 9891.55 13272.64 14196.19 294.10 3885.33 3293.49 3894.64 5781.12 11995.88 1687.41 2195.94 13092.48 159
DVP-MVScopyleft90.06 4391.32 3086.29 11294.16 5372.56 14590.54 4691.01 14083.61 4793.75 3194.65 5489.76 1995.78 2786.42 3497.97 4590.55 219
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
PS-CasMVS90.06 4391.92 1384.47 14996.56 758.83 28389.04 7892.74 9691.40 596.12 496.06 2287.23 4795.57 3679.42 11698.74 699.00 2
PEN-MVS90.03 4591.88 1684.48 14896.57 658.88 28088.95 7993.19 7791.62 496.01 696.16 2087.02 4995.60 3578.69 12198.72 998.97 3
OurMVSNet-221017-090.01 4689.74 5590.83 3793.16 7980.37 7191.91 3493.11 7981.10 7795.32 1097.24 572.94 20394.85 7285.07 5297.78 5597.26 15
DTE-MVSNet89.98 4791.91 1584.21 15696.51 857.84 28888.93 8192.84 9391.92 396.16 396.23 1886.95 5095.99 1079.05 11898.57 1598.80 6
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7293.98 4279.68 9392.09 6193.89 9883.80 7993.10 14382.67 7898.04 3793.64 117
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14181.66 6491.25 3994.13 3688.89 1388.83 12594.26 7577.55 15195.86 2184.88 5595.87 13495.24 57
WR-MVS_H89.91 5091.31 3185.71 12896.32 1062.39 24189.54 7093.31 7090.21 1095.57 995.66 2981.42 11595.90 1580.94 9698.80 398.84 5
OPM-MVS89.80 5189.97 5289.27 6294.76 4179.86 7586.76 11692.78 9578.78 10692.51 5493.64 10688.13 3693.84 11084.83 5797.55 6994.10 95
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
mvs_tets89.78 5289.27 6391.30 2893.51 6984.79 4189.89 6090.63 15070.00 21894.55 1596.67 1187.94 3993.59 12184.27 6295.97 12795.52 48
anonymousdsp89.73 5388.88 7092.27 989.82 17586.67 1790.51 4890.20 16769.87 21995.06 1196.14 2184.28 7593.07 14487.68 1396.34 11297.09 19
test_djsdf89.62 5489.01 6691.45 2592.36 9882.98 5591.98 3190.08 17071.54 19894.28 2196.54 1381.57 11394.27 8786.26 3896.49 10697.09 19
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11293.91 4580.07 9086.75 16293.26 11093.64 290.93 20384.60 5990.75 25993.97 98
APD-MVScopyleft89.54 5689.63 5789.26 6392.57 9281.34 6690.19 5393.08 8180.87 8191.13 7793.19 11186.22 6195.97 1282.23 8397.18 8490.45 221
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
testtj89.51 5789.48 6089.59 5892.26 10280.80 6990.14 5493.54 6183.37 5090.57 8892.55 13384.99 6896.15 581.26 9196.61 10191.83 187
jajsoiax89.41 5888.81 7291.19 3293.38 7384.72 4289.70 6290.29 16469.27 22294.39 1796.38 1586.02 6493.52 12583.96 6495.92 13295.34 52
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 2992.30 10579.74 9287.50 14792.38 13681.42 11593.28 13483.07 7397.24 8291.67 192
ACMH76.49 1489.34 6091.14 3483.96 16392.50 9570.36 17189.55 6893.84 5081.89 6994.70 1395.44 3490.69 988.31 26183.33 7198.30 2693.20 130
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CP-MVSNet89.27 6190.91 4384.37 15096.34 958.61 28588.66 8892.06 11090.78 695.67 795.17 4081.80 11195.54 4179.00 11998.69 1098.95 4
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 12793.60 6080.16 8889.13 12193.44 10883.82 7890.98 20183.86 6695.30 15493.60 119
DeepC-MVS82.31 489.15 6389.08 6589.37 6193.64 6879.07 8388.54 8994.20 2873.53 16689.71 10694.82 4985.09 6795.77 2984.17 6398.03 3993.26 128
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
UniMVSNet_ETH3D89.12 6490.72 4684.31 15497.00 264.33 21989.67 6588.38 19788.84 1594.29 1997.57 390.48 1491.26 19372.57 19397.65 6297.34 14
MSP-MVS89.08 6588.16 7791.83 2195.76 1886.14 2492.75 1793.90 4678.43 11189.16 12092.25 14372.03 21596.36 288.21 890.93 25492.98 138
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
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7193.75 6477.44 10286.31 12495.27 1270.80 20792.28 5893.80 10086.89 5194.64 7885.52 4897.51 7494.30 87
SD-MVS88.96 6789.88 5386.22 11591.63 12577.07 11089.82 6193.77 5178.90 10492.88 4592.29 14186.11 6290.22 22586.24 4197.24 8291.36 199
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
HPM-MVS++copyleft88.93 6888.45 7590.38 4594.92 3785.85 3089.70 6291.27 13378.20 11386.69 16592.28 14280.36 12995.06 6686.17 4296.49 10690.22 224
ETH3D-3000-0.188.85 6988.96 6988.52 7691.94 11577.27 10888.71 8695.26 1376.08 13290.66 8792.69 12884.48 7393.83 11183.38 7097.48 7694.47 79
test_040288.65 7089.58 5985.88 12492.55 9372.22 15384.01 15889.44 18288.63 1894.38 1895.77 2586.38 6093.59 12179.84 10895.21 15591.82 188
DP-MVS88.60 7189.01 6687.36 9591.30 13977.50 10187.55 10092.97 8887.95 2289.62 11092.87 12284.56 7193.89 10777.65 13896.62 10090.70 213
Anonymous2023121188.40 7289.62 5884.73 14490.46 16365.27 21088.86 8293.02 8687.15 2593.05 4397.10 682.28 9892.02 17376.70 14897.99 4296.88 23
PS-MVSNAJss88.31 7387.90 7989.56 5993.31 7577.96 9587.94 9691.97 11370.73 20994.19 2296.67 1176.94 16094.57 8283.07 7396.28 11496.15 32
OMC-MVS88.19 7487.52 8490.19 4991.94 11581.68 6387.49 10293.17 7876.02 13588.64 12891.22 16684.24 7693.37 13277.97 13697.03 8795.52 48
TSAR-MVS + MP.88.14 7587.82 8089.09 6695.72 2276.74 11492.49 2591.19 13667.85 24086.63 16694.84 4879.58 13595.96 1387.62 1494.50 17894.56 75
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
DROMVSNet88.01 7688.32 7687.09 9789.28 18072.03 15590.31 5196.31 380.88 8085.12 19389.67 20884.47 7495.46 4882.56 7996.26 11793.77 110
RPSCF88.00 7786.93 9491.22 3190.08 16989.30 589.68 6491.11 13779.26 9989.68 10794.81 5282.44 9387.74 26576.54 15088.74 28196.61 28
AllTest87.97 7887.40 8789.68 5491.59 12683.40 5089.50 7195.44 979.47 9588.00 14093.03 11482.66 9191.47 18570.81 20296.14 12194.16 92
TranMVSNet+NR-MVSNet87.86 7988.76 7385.18 13694.02 5864.13 22084.38 15291.29 13284.88 3792.06 6293.84 9986.45 5893.73 11373.22 18498.66 1197.69 9
nrg03087.85 8088.49 7485.91 12290.07 17169.73 17487.86 9794.20 2874.04 16092.70 5294.66 5385.88 6591.50 18479.72 11097.32 8096.50 30
ETH3D cwj APD-0.1687.83 8187.62 8388.47 7891.21 14278.20 9087.26 10594.54 2072.05 19488.89 12292.31 14083.86 7794.24 9081.59 9096.87 9192.97 141
CNVR-MVS87.81 8287.68 8288.21 8592.87 8577.30 10785.25 13791.23 13477.31 12287.07 15591.47 16282.94 8894.71 7584.67 5896.27 11692.62 154
HQP_MVS87.75 8387.43 8688.70 7493.45 7076.42 11889.45 7393.61 5879.44 9786.55 16792.95 11974.84 17895.22 5980.78 9995.83 13594.46 80
NCCC87.36 8486.87 9588.83 6892.32 10178.84 8686.58 12091.09 13878.77 10784.85 19990.89 18080.85 12295.29 5581.14 9395.32 15192.34 166
DeepPCF-MVS81.24 587.28 8586.21 10490.49 4391.48 13684.90 3983.41 17992.38 10470.25 21589.35 11890.68 18782.85 8994.57 8279.55 11295.95 12992.00 181
SixPastTwentyTwo87.20 8687.45 8586.45 10892.52 9469.19 18387.84 9888.05 20381.66 7194.64 1496.53 1465.94 24394.75 7483.02 7596.83 9495.41 50
test_part187.15 8787.82 8085.15 13788.88 18963.04 23187.98 9494.85 1682.52 6193.61 3795.73 2667.51 23495.71 3180.48 10498.83 296.69 25
UniMVSNet (Re)86.87 8886.98 9386.55 10693.11 8068.48 18783.80 16792.87 9080.37 8489.61 11291.81 15477.72 14894.18 9475.00 16898.53 1696.99 22
Vis-MVSNetpermissive86.86 8986.58 9887.72 9092.09 10977.43 10487.35 10392.09 10978.87 10584.27 21494.05 8678.35 14393.65 11580.54 10391.58 24292.08 178
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
UniMVSNet_NR-MVSNet86.84 9087.06 9086.17 11992.86 8767.02 19782.55 20391.56 12383.08 5590.92 8191.82 15378.25 14493.99 10274.16 17298.35 2297.49 13
DU-MVS86.80 9186.99 9286.21 11793.24 7767.02 19783.16 18892.21 10681.73 7090.92 8191.97 14777.20 15493.99 10274.16 17298.35 2297.61 10
Regformer-286.74 9286.08 10688.73 7284.18 27479.20 8283.52 17489.33 18483.33 5189.92 10185.07 28383.23 8693.16 13983.39 6992.72 22193.83 104
IS-MVSNet86.66 9386.82 9786.17 11992.05 11166.87 19991.21 4088.64 19386.30 3089.60 11392.59 13069.22 22694.91 7073.89 17697.89 5196.72 24
v1086.54 9487.10 8984.84 14188.16 20363.28 22886.64 11992.20 10775.42 14792.81 5094.50 6074.05 18894.06 10183.88 6596.28 11497.17 18
pmmvs686.52 9588.06 7881.90 20392.22 10562.28 24484.66 14589.15 18683.54 4989.85 10297.32 488.08 3886.80 27770.43 21097.30 8196.62 27
Regformer-486.41 9685.71 11488.52 7684.27 27077.57 10084.07 15588.00 20582.82 5889.84 10385.48 27182.06 10292.77 15283.83 6791.04 24895.22 60
PHI-MVS86.38 9785.81 11188.08 8688.44 19777.34 10589.35 7593.05 8273.15 17784.76 20087.70 23778.87 13994.18 9480.67 10196.29 11392.73 147
test_prior386.31 9886.31 10186.32 11090.59 16071.99 15683.37 18092.85 9175.43 14584.58 20391.57 15881.92 10894.17 9679.54 11396.97 8892.80 144
CSCG86.26 9986.47 9985.60 13090.87 15374.26 12987.98 9491.85 11680.35 8589.54 11688.01 23179.09 13792.13 16775.51 16195.06 16290.41 222
DeepC-MVS_fast80.27 886.23 10085.65 11687.96 8991.30 13976.92 11187.19 10691.99 11270.56 21084.96 19590.69 18680.01 13295.14 6278.37 12495.78 13991.82 188
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
v886.22 10186.83 9684.36 15287.82 20862.35 24386.42 12291.33 13176.78 12792.73 5194.48 6273.41 19793.72 11483.10 7295.41 14797.01 21
Anonymous2024052986.20 10287.13 8883.42 17590.19 16764.55 21784.55 14790.71 14785.85 3189.94 10095.24 3982.13 10090.40 22069.19 22196.40 11095.31 54
CDPH-MVS86.17 10385.54 11788.05 8892.25 10375.45 12383.85 16492.01 11165.91 25586.19 17491.75 15683.77 8094.98 6877.43 14396.71 9893.73 111
Regformer-186.00 10485.50 11887.49 9384.18 27476.90 11283.52 17487.94 20782.18 6589.19 11985.07 28382.28 9891.89 17782.40 8192.72 22193.69 113
NR-MVSNet86.00 10486.22 10385.34 13493.24 7764.56 21682.21 21690.46 15380.99 7888.42 13391.97 14777.56 15093.85 10872.46 19498.65 1297.61 10
train_agg85.98 10685.28 12188.07 8792.34 9979.70 7783.94 16090.32 15865.79 25684.49 20590.97 17681.93 10693.63 11781.21 9296.54 10490.88 208
FC-MVSNet-test85.93 10787.05 9182.58 19492.25 10356.44 30085.75 13193.09 8077.33 12191.94 6694.65 5474.78 18093.41 13175.11 16798.58 1497.88 7
Effi-MVS+-dtu85.82 10883.38 15593.14 387.13 22391.15 287.70 9988.42 19574.57 15583.56 22385.65 26878.49 14194.21 9272.04 19692.88 21694.05 96
agg_prior185.72 10985.20 12387.28 9691.58 12977.69 9883.69 17090.30 16166.29 25284.32 20991.07 17382.13 10093.18 13781.02 9496.36 11190.98 204
TAPA-MVS77.73 1285.71 11084.83 12988.37 8288.78 19179.72 7687.15 10893.50 6269.17 22385.80 18489.56 20980.76 12392.13 16773.21 18995.51 14593.25 129
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
canonicalmvs85.50 11186.14 10583.58 17287.97 20467.13 19587.55 10094.32 2273.44 16888.47 13287.54 24086.45 5891.06 20075.76 16093.76 19392.54 157
EPP-MVSNet85.47 11285.04 12586.77 10391.52 13569.37 17791.63 3787.98 20681.51 7387.05 15691.83 15266.18 24295.29 5570.75 20596.89 9095.64 45
GeoE85.45 11385.81 11184.37 15090.08 16967.07 19685.86 13091.39 13072.33 18987.59 14590.25 19784.85 6992.37 16178.00 13491.94 23693.66 114
FIs85.35 11486.27 10282.60 19391.86 11857.31 29385.10 13993.05 8275.83 14091.02 8093.97 9073.57 19392.91 15073.97 17598.02 4097.58 12
casdiffmvs85.21 11585.85 11083.31 17786.17 24662.77 23583.03 19093.93 4474.69 15488.21 13892.68 12982.29 9791.89 17777.87 13793.75 19595.27 56
baseline85.20 11685.93 10883.02 18286.30 24162.37 24284.55 14793.96 4374.48 15787.12 15192.03 14682.30 9691.94 17478.39 12394.21 18494.74 71
K. test v385.14 11784.73 13086.37 10991.13 14769.63 17685.45 13576.68 30284.06 4292.44 5696.99 862.03 26294.65 7780.58 10293.24 20694.83 70
EI-MVSNet-Vis-set85.12 11884.53 13886.88 10084.01 27772.76 13883.91 16385.18 24680.44 8388.75 12685.49 27080.08 13191.92 17582.02 8490.85 25795.97 38
ETH3 D test640085.09 11984.87 12885.75 12790.80 15569.34 17885.90 12893.31 7065.43 26286.11 17789.95 20380.92 12194.86 7175.90 15895.57 14493.05 135
Regformer-385.06 12084.67 13586.22 11584.27 27073.43 13384.07 15585.26 24480.77 8288.62 12985.48 27180.56 12790.39 22181.99 8591.04 24894.85 68
EI-MVSNet-UG-set85.04 12184.44 14086.85 10183.87 28072.52 14783.82 16585.15 24780.27 8788.75 12685.45 27479.95 13391.90 17681.92 8790.80 25896.13 33
X-MVStestdata85.04 12182.70 16592.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9716.05 37286.57 5695.80 2487.35 2397.62 6494.20 89
CS-MVS-test85.00 12385.28 12184.17 15987.84 20766.12 20587.30 10495.67 677.63 11980.02 27485.85 26781.34 11795.41 5178.18 13093.71 19690.99 203
MSLP-MVS++85.00 12386.03 10781.90 20391.84 12171.56 16486.75 11793.02 8675.95 13887.12 15189.39 21077.98 14589.40 24777.46 14194.78 17184.75 293
F-COLMAP84.97 12583.42 15489.63 5692.39 9783.40 5088.83 8391.92 11573.19 17680.18 27389.15 21677.04 15893.28 13465.82 24892.28 22792.21 175
3Dnovator80.37 784.80 12684.71 13385.06 13986.36 23974.71 12688.77 8590.00 17275.65 14384.96 19593.17 11274.06 18791.19 19578.28 12791.09 24689.29 240
IterMVS-LS84.73 12784.98 12683.96 16387.35 21863.66 22383.25 18489.88 17476.06 13389.62 11092.37 13973.40 19992.52 15778.16 13194.77 17395.69 43
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MVS_111021_HR84.63 12884.34 14485.49 13390.18 16875.86 12279.23 26087.13 21773.35 16985.56 18889.34 21183.60 8290.50 21876.64 14994.05 18990.09 229
HQP-MVS84.61 12984.06 14786.27 11391.19 14370.66 16884.77 14192.68 9773.30 17280.55 26690.17 20172.10 21194.61 8077.30 14494.47 17993.56 121
v119284.57 13084.69 13484.21 15687.75 21062.88 23383.02 19191.43 12769.08 22589.98 9990.89 18072.70 20793.62 12082.41 8094.97 16696.13 33
mvs-test184.55 13182.12 17591.84 2087.13 22389.54 485.05 14088.42 19574.57 15580.60 26382.98 30678.49 14193.98 10472.04 19689.77 26892.00 181
FMVSNet184.55 13185.45 11981.85 20590.27 16661.05 25586.83 11388.27 20078.57 11089.66 10995.64 3075.43 17290.68 21369.09 22295.33 15093.82 106
v114484.54 13384.72 13284.00 16187.67 21262.55 23982.97 19290.93 14370.32 21489.80 10490.99 17573.50 19493.48 12781.69 8994.65 17695.97 38
Gipumacopyleft84.44 13486.33 10078.78 25184.20 27373.57 13289.55 6890.44 15484.24 3984.38 20794.89 4676.35 16980.40 32576.14 15496.80 9682.36 324
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MCST-MVS84.36 13583.93 15085.63 12991.59 12671.58 16383.52 17492.13 10861.82 28383.96 21789.75 20779.93 13493.46 12878.33 12694.34 18291.87 186
VDDNet84.35 13685.39 12081.25 21395.13 3359.32 27385.42 13681.11 27686.41 2987.41 14896.21 1973.61 19290.61 21666.33 24296.85 9293.81 109
ETV-MVS84.31 13783.91 15185.52 13188.58 19370.40 17084.50 15193.37 6478.76 10884.07 21678.72 34280.39 12895.13 6373.82 17892.98 21491.04 202
v124084.30 13884.51 13983.65 17087.65 21361.26 25282.85 19591.54 12467.94 23890.68 8690.65 18971.71 21793.64 11682.84 7794.78 17196.07 35
MVS_111021_LR84.28 13983.76 15285.83 12689.23 18283.07 5380.99 23483.56 26172.71 18286.07 17889.07 21881.75 11286.19 28777.11 14693.36 20288.24 253
h-mvs3384.25 14082.76 16488.72 7391.82 12382.60 5884.00 15984.98 25371.27 20086.70 16390.55 19163.04 25893.92 10678.26 12894.20 18589.63 231
v14419284.24 14184.41 14183.71 16987.59 21561.57 24882.95 19391.03 13967.82 24189.80 10490.49 19273.28 20093.51 12681.88 8894.89 16996.04 37
v192192084.23 14284.37 14383.79 16687.64 21461.71 24782.91 19491.20 13567.94 23890.06 9490.34 19472.04 21493.59 12182.32 8294.91 16796.07 35
VDD-MVS84.23 14284.58 13783.20 17991.17 14665.16 21283.25 18484.97 25479.79 9187.18 15094.27 7274.77 18190.89 20669.24 21896.54 10493.55 123
v2v48284.09 14484.24 14583.62 17187.13 22361.40 24982.71 19889.71 17672.19 19389.55 11491.41 16370.70 22293.20 13681.02 9493.76 19396.25 31
EG-PatchMatch MVS84.08 14584.11 14683.98 16292.22 10572.61 14482.20 21887.02 22272.63 18388.86 12391.02 17478.52 14091.11 19873.41 18391.09 24688.21 254
DP-MVS Recon84.05 14683.22 15786.52 10791.73 12475.27 12483.23 18692.40 10272.04 19582.04 24388.33 22777.91 14793.95 10566.17 24395.12 16090.34 223
TransMVSNet (Re)84.02 14785.74 11378.85 25091.00 15055.20 31082.29 21287.26 21379.65 9488.38 13595.52 3383.00 8786.88 27567.97 23396.60 10294.45 82
Baseline_NR-MVSNet84.00 14885.90 10978.29 26291.47 13753.44 31982.29 21287.00 22579.06 10289.55 11495.72 2877.20 15486.14 28872.30 19598.51 1795.28 55
TSAR-MVS + GP.83.95 14982.69 16687.72 9089.27 18181.45 6583.72 16981.58 27574.73 15385.66 18586.06 26272.56 20992.69 15475.44 16395.21 15589.01 248
alignmvs83.94 15083.98 14983.80 16587.80 20967.88 19284.54 14991.42 12973.27 17588.41 13487.96 23272.33 21090.83 20876.02 15794.11 18792.69 151
Effi-MVS+83.90 15184.01 14883.57 17387.22 22165.61 20986.55 12192.40 10278.64 10981.34 25784.18 29583.65 8192.93 14874.22 17187.87 29192.17 177
CANet83.79 15282.85 16386.63 10486.17 24672.21 15483.76 16891.43 12777.24 12374.39 31787.45 24275.36 17395.42 5077.03 14792.83 21792.25 174
pm-mvs183.69 15384.95 12779.91 23690.04 17359.66 27082.43 20787.44 21075.52 14487.85 14295.26 3881.25 11885.65 29468.74 22696.04 12494.42 83
AdaColmapbinary83.66 15483.69 15383.57 17390.05 17272.26 15286.29 12690.00 17278.19 11481.65 25287.16 24783.40 8494.24 9061.69 27694.76 17484.21 298
MIMVSNet183.63 15584.59 13680.74 22394.06 5762.77 23582.72 19784.53 25777.57 12090.34 9095.92 2476.88 16685.83 29261.88 27497.42 7793.62 118
WR-MVS83.56 15684.40 14281.06 21893.43 7254.88 31178.67 26785.02 25181.24 7590.74 8591.56 16072.85 20491.08 19968.00 23298.04 3797.23 16
CNLPA83.55 15783.10 16184.90 14089.34 17983.87 4884.54 14988.77 19079.09 10183.54 22488.66 22474.87 17781.73 31966.84 23992.29 22689.11 242
LCM-MVSNet-Re83.48 15885.06 12478.75 25285.94 24955.75 30580.05 24494.27 2376.47 12896.09 594.54 5983.31 8589.75 24159.95 28894.89 16990.75 211
hse-mvs283.47 15981.81 18088.47 7891.03 14982.27 5982.61 19983.69 25971.27 20086.70 16386.05 26363.04 25892.41 15978.26 12893.62 20090.71 212
V4283.47 15983.37 15683.75 16883.16 28663.33 22781.31 22890.23 16669.51 22190.91 8390.81 18374.16 18692.29 16580.06 10590.22 26595.62 46
VPA-MVSNet83.47 15984.73 13079.69 24190.29 16557.52 29281.30 23088.69 19276.29 12987.58 14694.44 6380.60 12687.20 27066.60 24196.82 9594.34 86
RRT_MVS83.25 16281.08 19189.74 5380.55 31479.32 8186.41 12386.69 22672.33 18987.00 15791.08 17144.98 34595.55 4084.47 6196.24 11894.36 85
PAPM_NR83.23 16383.19 15983.33 17690.90 15265.98 20688.19 9290.78 14678.13 11580.87 26187.92 23573.49 19692.42 15870.07 21288.40 28291.60 194
CLD-MVS83.18 16482.64 16784.79 14289.05 18467.82 19377.93 27592.52 10068.33 23285.07 19481.54 32382.06 10292.96 14669.35 21797.91 5093.57 120
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ANet_high83.17 16585.68 11575.65 29281.24 30145.26 36079.94 24692.91 8983.83 4391.33 7596.88 1080.25 13085.92 29068.89 22495.89 13395.76 42
114514_t83.10 16682.54 17184.77 14392.90 8469.10 18586.65 11890.62 15154.66 32481.46 25490.81 18376.98 15994.38 8672.62 19296.18 11990.82 210
UGNet82.78 16781.64 18286.21 11786.20 24576.24 12186.86 11185.68 23877.07 12473.76 32092.82 12369.64 22391.82 18069.04 22393.69 19790.56 218
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
LF4IMVS82.75 16881.93 17985.19 13582.08 29280.15 7385.53 13488.76 19168.01 23585.58 18787.75 23671.80 21686.85 27674.02 17493.87 19288.58 251
EI-MVSNet82.61 16982.42 17383.20 17983.25 28463.66 22383.50 17785.07 24876.06 13386.55 16785.10 28073.41 19790.25 22278.15 13390.67 26195.68 44
QAPM82.59 17082.59 17082.58 19486.44 23466.69 20189.94 5990.36 15767.97 23784.94 19792.58 13272.71 20692.18 16670.63 20887.73 29388.85 249
Fast-Effi-MVS+-dtu82.54 17181.41 18685.90 12385.60 25176.53 11783.07 18989.62 17973.02 17979.11 28283.51 30080.74 12490.24 22468.76 22589.29 27290.94 206
MVS_Test82.47 17283.22 15780.22 23282.62 29157.75 29082.54 20491.96 11471.16 20582.89 23292.52 13577.41 15290.50 21880.04 10687.84 29292.40 163
v14882.31 17382.48 17281.81 20885.59 25259.66 27081.47 22686.02 23472.85 18088.05 13990.65 18970.73 22190.91 20575.15 16691.79 23794.87 64
API-MVS82.28 17482.61 16981.30 21286.29 24269.79 17288.71 8687.67 20978.42 11282.15 24284.15 29677.98 14591.59 18365.39 25092.75 21882.51 323
MVSFormer82.23 17581.57 18584.19 15885.54 25369.26 18091.98 3190.08 17071.54 19876.23 30185.07 28358.69 28394.27 8786.26 3888.77 27989.03 246
EIA-MVS82.19 17681.23 18985.10 13887.95 20569.17 18483.22 18793.33 6770.42 21178.58 28579.77 33977.29 15394.20 9371.51 19988.96 27791.93 185
PCF-MVS74.62 1582.15 17780.92 19485.84 12589.43 17772.30 15180.53 23991.82 11857.36 31387.81 14389.92 20577.67 14993.63 11758.69 29395.08 16191.58 195
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PLCcopyleft73.85 1682.09 17880.31 20087.45 9490.86 15480.29 7285.88 12990.65 14968.17 23476.32 30086.33 25773.12 20292.61 15661.40 28090.02 26789.44 235
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CS-MVS82.02 17982.63 16880.19 23384.80 26057.56 29182.39 20994.72 1871.24 20380.22 27284.89 28775.85 17094.56 8476.08 15593.49 20188.46 252
GBi-Net82.02 17982.07 17681.85 20586.38 23661.05 25586.83 11388.27 20072.43 18486.00 17995.64 3063.78 25290.68 21365.95 24493.34 20393.82 106
test182.02 17982.07 17681.85 20586.38 23661.05 25586.83 11388.27 20072.43 18486.00 17995.64 3063.78 25290.68 21365.95 24493.34 20393.82 106
OpenMVScopyleft76.72 1381.98 18282.00 17881.93 20284.42 26668.22 18988.50 9089.48 18166.92 24781.80 25091.86 14972.59 20890.16 22771.19 20191.25 24587.40 266
KD-MVS_self_test81.93 18383.14 16078.30 26184.75 26152.75 32380.37 24189.42 18370.24 21690.26 9293.39 10974.55 18586.77 27868.61 22896.64 9995.38 51
tfpnnormal81.79 18482.95 16278.31 26088.93 18855.40 30680.83 23782.85 26576.81 12685.90 18394.14 8374.58 18486.51 28266.82 24095.68 14393.01 137
c3_l81.64 18581.59 18481.79 20980.86 30759.15 27778.61 26890.18 16868.36 23187.20 14987.11 24969.39 22491.62 18278.16 13194.43 18194.60 74
PVSNet_Blended_VisFu81.55 18680.49 19884.70 14691.58 12973.24 13684.21 15391.67 12262.86 27680.94 25987.16 24767.27 23692.87 15169.82 21488.94 27887.99 258
DELS-MVS81.44 18781.25 18782.03 20184.27 27062.87 23476.47 29792.49 10170.97 20681.64 25383.83 29775.03 17592.70 15374.29 17092.22 23090.51 220
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
FMVSNet281.31 18881.61 18380.41 22986.38 23658.75 28483.93 16286.58 22872.43 18487.65 14492.98 11663.78 25290.22 22566.86 23793.92 19192.27 172
TinyColmap81.25 18982.34 17477.99 26785.33 25560.68 26282.32 21188.33 19871.26 20286.97 15892.22 14577.10 15786.98 27462.37 26995.17 15786.31 277
AUN-MVS81.18 19078.78 21888.39 8190.93 15182.14 6082.51 20583.67 26064.69 27080.29 26985.91 26651.07 31592.38 16076.29 15393.63 19990.65 216
tttt051781.07 19179.58 21285.52 13188.99 18766.45 20387.03 11075.51 31073.76 16488.32 13790.20 19837.96 36194.16 9979.36 11795.13 15895.93 41
Fast-Effi-MVS+81.04 19280.57 19582.46 19887.50 21663.22 22978.37 27189.63 17868.01 23581.87 24682.08 31882.31 9592.65 15567.10 23688.30 28791.51 197
BH-untuned80.96 19380.99 19280.84 22288.55 19468.23 18880.33 24288.46 19472.79 18186.55 16786.76 25274.72 18291.77 18161.79 27588.99 27682.52 322
112180.86 19479.81 21184.02 16093.93 6078.70 8781.64 22380.18 28355.43 32183.67 22091.15 16971.29 21991.41 19067.95 23493.06 21181.96 328
eth_miper_zixun_eth80.84 19580.22 20482.71 19181.41 29960.98 25877.81 27790.14 16967.31 24586.95 15987.24 24664.26 24892.31 16375.23 16591.61 24094.85 68
xiu_mvs_v1_base_debu80.84 19580.14 20682.93 18588.31 19871.73 15979.53 25187.17 21465.43 26279.59 27682.73 31376.94 16090.14 23073.22 18488.33 28386.90 272
xiu_mvs_v1_base80.84 19580.14 20682.93 18588.31 19871.73 15979.53 25187.17 21465.43 26279.59 27682.73 31376.94 16090.14 23073.22 18488.33 28386.90 272
xiu_mvs_v1_base_debi80.84 19580.14 20682.93 18588.31 19871.73 15979.53 25187.17 21465.43 26279.59 27682.73 31376.94 16090.14 23073.22 18488.33 28386.90 272
IterMVS-SCA-FT80.64 19979.41 21384.34 15383.93 27869.66 17576.28 29981.09 27772.43 18486.47 17390.19 19960.46 26893.15 14177.45 14286.39 30490.22 224
BH-RMVSNet80.53 20080.22 20481.49 21187.19 22266.21 20477.79 27886.23 23174.21 15983.69 21988.50 22573.25 20190.75 21063.18 26687.90 29087.52 264
Anonymous20240521180.51 20181.19 19078.49 25788.48 19557.26 29476.63 29382.49 26781.21 7684.30 21292.24 14467.99 23286.24 28662.22 27095.13 15891.98 184
DIV-MVS_self_test80.43 20280.23 20281.02 21979.99 31759.25 27477.07 28887.02 22267.38 24386.19 17489.22 21363.09 25690.16 22776.32 15195.80 13793.66 114
cl____80.42 20380.23 20281.02 21979.99 31759.25 27477.07 28887.02 22267.37 24486.18 17689.21 21463.08 25790.16 22776.31 15295.80 13793.65 116
diffmvs80.40 20480.48 19980.17 23479.02 32960.04 26677.54 28290.28 16566.65 25082.40 23787.33 24573.50 19487.35 26977.98 13589.62 27093.13 132
EPNet80.37 20578.41 22586.23 11476.75 34073.28 13487.18 10777.45 29776.24 13168.14 34088.93 22065.41 24593.85 10869.47 21696.12 12391.55 196
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
miper_ehance_all_eth80.34 20680.04 20981.24 21579.82 31958.95 27977.66 27989.66 17765.75 25985.99 18285.11 27968.29 23191.42 18976.03 15692.03 23293.33 124
MG-MVS80.32 20780.94 19378.47 25888.18 20152.62 32682.29 21285.01 25272.01 19679.24 28192.54 13469.36 22593.36 13370.65 20789.19 27589.45 234
VPNet80.25 20881.68 18175.94 29192.46 9647.98 35176.70 29281.67 27473.45 16784.87 19892.82 12374.66 18386.51 28261.66 27796.85 9293.33 124
MAR-MVS80.24 20978.74 22084.73 14486.87 23378.18 9185.75 13187.81 20865.67 26177.84 29078.50 34373.79 19190.53 21761.59 27990.87 25685.49 286
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
PM-MVS80.20 21079.00 21683.78 16788.17 20286.66 1881.31 22866.81 35569.64 22088.33 13690.19 19964.58 24683.63 31171.99 19890.03 26681.06 342
Anonymous2024052180.18 21181.25 18776.95 27883.15 28760.84 26082.46 20685.99 23568.76 22986.78 16093.73 10559.13 28077.44 33273.71 17997.55 6992.56 155
LFMVS80.15 21280.56 19678.89 24989.19 18355.93 30285.22 13873.78 32282.96 5684.28 21392.72 12757.38 29290.07 23463.80 26095.75 14090.68 214
DPM-MVS80.10 21379.18 21582.88 18890.71 15869.74 17378.87 26490.84 14460.29 29775.64 30985.92 26567.28 23593.11 14271.24 20091.79 23785.77 283
MSDG80.06 21479.99 21080.25 23183.91 27968.04 19177.51 28389.19 18577.65 11781.94 24483.45 30276.37 16886.31 28563.31 26586.59 30186.41 275
ab-mvs79.67 21580.56 19676.99 27788.48 19556.93 29684.70 14486.06 23368.95 22780.78 26293.08 11375.30 17484.62 30356.78 30290.90 25589.43 236
VNet79.31 21680.27 20176.44 28587.92 20653.95 31575.58 30584.35 25874.39 15882.23 24090.72 18572.84 20584.39 30560.38 28793.98 19090.97 205
bset_n11_16_dypcd79.19 21777.97 22982.86 18985.81 25066.85 20075.02 31079.31 28766.07 25383.50 22583.37 30555.04 30692.10 17078.63 12294.99 16589.63 231
thisisatest053079.07 21877.33 23684.26 15587.13 22364.58 21583.66 17275.95 30568.86 22885.22 19287.36 24438.10 35993.57 12475.47 16294.28 18394.62 72
cl2278.97 21978.21 22781.24 21577.74 33359.01 27877.46 28587.13 21765.79 25684.32 20985.10 28058.96 28290.88 20775.36 16492.03 23293.84 103
RPMNet78.88 22078.28 22680.68 22679.58 32062.64 23782.58 20194.16 3174.80 15275.72 30792.59 13048.69 32195.56 3773.48 18282.91 33183.85 303
PAPR78.84 22178.10 22881.07 21785.17 25660.22 26582.21 21690.57 15262.51 27875.32 31284.61 29174.99 17692.30 16459.48 29188.04 28990.68 214
PVSNet_BlendedMVS78.80 22277.84 23081.65 21084.43 26463.41 22579.49 25490.44 15461.70 28675.43 31087.07 25069.11 22791.44 18760.68 28592.24 22890.11 228
FMVSNet378.80 22278.55 22279.57 24382.89 29056.89 29881.76 22085.77 23769.04 22686.00 17990.44 19351.75 31390.09 23365.95 24493.34 20391.72 190
test_yl78.71 22478.51 22379.32 24684.32 26858.84 28178.38 26985.33 24275.99 13682.49 23586.57 25358.01 28690.02 23662.74 26792.73 21989.10 243
DCV-MVSNet78.71 22478.51 22379.32 24684.32 26858.84 28178.38 26985.33 24275.99 13682.49 23586.57 25358.01 28690.02 23662.74 26792.73 21989.10 243
test111178.53 22678.85 21777.56 27392.22 10547.49 35382.61 19969.24 34772.43 18485.28 19194.20 7851.91 31190.07 23465.36 25196.45 10895.11 61
ECVR-MVScopyleft78.44 22778.63 22177.88 26991.85 11948.95 34783.68 17169.91 34572.30 19184.26 21594.20 7851.89 31289.82 23863.58 26196.02 12594.87 64
pmmvs-eth3d78.42 22877.04 23982.57 19687.44 21774.41 12880.86 23679.67 28655.68 31984.69 20190.31 19660.91 26685.42 29562.20 27191.59 24187.88 261
MVS_030478.17 22977.23 23780.99 22184.13 27669.07 18681.39 22780.81 27976.28 13067.53 34589.11 21762.87 26086.77 27860.90 28492.01 23587.13 269
mvs_anonymous78.13 23078.76 21976.23 29079.24 32650.31 34478.69 26684.82 25561.60 28783.09 23192.82 12373.89 19087.01 27168.33 23186.41 30391.37 198
RRT_test8_iter0578.08 23177.52 23279.75 23980.84 30852.54 32780.61 23888.96 18867.77 24284.62 20289.29 21233.89 36692.10 17077.59 13994.15 18694.62 72
TAMVS78.08 23176.36 24583.23 17890.62 15972.87 13779.08 26180.01 28561.72 28581.35 25686.92 25163.96 25188.78 25550.61 33593.01 21388.04 257
miper_enhance_ethall77.83 23376.93 24080.51 22776.15 34658.01 28775.47 30788.82 18958.05 30783.59 22280.69 32764.41 24791.20 19473.16 19092.03 23292.33 167
Vis-MVSNet (Re-imp)77.82 23477.79 23177.92 26888.82 19051.29 33783.28 18271.97 33574.04 16082.23 24089.78 20657.38 29289.41 24657.22 30195.41 14793.05 135
CANet_DTU77.81 23577.05 23880.09 23581.37 30059.90 26883.26 18388.29 19969.16 22467.83 34383.72 29860.93 26589.47 24369.22 22089.70 26990.88 208
OpenMVS_ROBcopyleft70.19 1777.77 23677.46 23378.71 25384.39 26761.15 25381.18 23282.52 26662.45 28083.34 22687.37 24366.20 24188.66 25764.69 25685.02 31586.32 276
MDA-MVSNet-bldmvs77.47 23776.90 24179.16 24879.03 32864.59 21466.58 34675.67 30873.15 17788.86 12388.99 21966.94 23781.23 32164.71 25588.22 28891.64 193
jason77.42 23875.75 25182.43 19987.10 22769.27 17977.99 27481.94 27251.47 34377.84 29085.07 28360.32 27089.00 24970.74 20689.27 27489.03 246
jason: jason.
CDS-MVSNet77.32 23975.40 25483.06 18189.00 18672.48 14877.90 27682.17 27060.81 29278.94 28383.49 30159.30 27888.76 25654.64 31992.37 22587.93 260
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
xiu_mvs_v2_base77.19 24076.75 24278.52 25687.01 22961.30 25175.55 30687.12 22061.24 28974.45 31678.79 34177.20 15490.93 20364.62 25884.80 32183.32 312
MVSTER77.09 24175.70 25281.25 21375.27 35361.08 25477.49 28485.07 24860.78 29386.55 16788.68 22343.14 35190.25 22273.69 18090.67 26192.42 161
PS-MVSNAJ77.04 24276.53 24478.56 25587.09 22861.40 24975.26 30887.13 21761.25 28874.38 31877.22 35076.94 16090.94 20264.63 25784.83 32083.35 311
IterMVS76.91 24376.34 24678.64 25480.91 30564.03 22176.30 29879.03 29064.88 26983.11 22989.16 21559.90 27484.46 30468.61 22885.15 31487.42 265
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
D2MVS76.84 24475.67 25380.34 23080.48 31562.16 24673.50 32084.80 25657.61 31182.24 23987.54 24051.31 31487.65 26670.40 21193.19 20891.23 200
CL-MVSNet_self_test76.81 24577.38 23575.12 29586.90 23151.34 33573.20 32380.63 28168.30 23381.80 25088.40 22666.92 23880.90 32255.35 31394.90 16893.12 133
TR-MVS76.77 24675.79 25079.72 24086.10 24865.79 20877.14 28683.02 26365.20 26781.40 25582.10 31766.30 24090.73 21255.57 31085.27 31282.65 318
USDC76.63 24776.73 24376.34 28783.46 28257.20 29580.02 24588.04 20452.14 33983.65 22191.25 16563.24 25586.65 28154.66 31894.11 18785.17 288
BH-w/o76.57 24876.07 24978.10 26586.88 23265.92 20777.63 28086.33 22965.69 26080.89 26079.95 33668.97 22990.74 21153.01 32785.25 31377.62 348
Patchmtry76.56 24977.46 23373.83 30179.37 32546.60 35782.41 20876.90 29973.81 16385.56 18892.38 13648.07 32383.98 30863.36 26495.31 15390.92 207
PVSNet_Blended76.49 25075.40 25479.76 23884.43 26463.41 22575.14 30990.44 15457.36 31375.43 31078.30 34469.11 22791.44 18760.68 28587.70 29484.42 296
miper_lstm_enhance76.45 25176.10 24877.51 27476.72 34160.97 25964.69 34985.04 25063.98 27283.20 22888.22 22856.67 29578.79 33073.22 18493.12 20992.78 146
lupinMVS76.37 25274.46 26282.09 20085.54 25369.26 18076.79 29080.77 28050.68 34976.23 30182.82 31158.69 28388.94 25069.85 21388.77 27988.07 255
cascas76.29 25374.81 25880.72 22584.47 26362.94 23273.89 31887.34 21155.94 31875.16 31476.53 35363.97 25091.16 19665.00 25290.97 25388.06 256
thres600view775.97 25475.35 25677.85 27187.01 22951.84 33380.45 24073.26 32675.20 14983.10 23086.31 25945.54 33689.05 24855.03 31692.24 22892.66 152
GA-MVS75.83 25574.61 25979.48 24581.87 29459.25 27473.42 32182.88 26468.68 23079.75 27581.80 32050.62 31789.46 24466.85 23885.64 30989.72 230
MVP-Stereo75.81 25673.51 27182.71 19189.35 17873.62 13180.06 24385.20 24560.30 29673.96 31987.94 23357.89 29089.45 24552.02 33074.87 35785.06 290
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
thres100view90075.45 25775.05 25776.66 28487.27 21951.88 33281.07 23373.26 32675.68 14283.25 22786.37 25645.54 33688.80 25251.98 33190.99 25089.31 238
ET-MVSNet_ETH3D75.28 25872.77 27882.81 19083.03 28968.11 19077.09 28776.51 30360.67 29577.60 29480.52 33138.04 36091.15 19770.78 20490.68 26089.17 241
thres40075.14 25974.23 26477.86 27086.24 24352.12 32979.24 25873.87 32073.34 17081.82 24884.60 29246.02 33088.80 25251.98 33190.99 25092.66 152
wuyk23d75.13 26079.30 21462.63 34075.56 34975.18 12580.89 23573.10 32875.06 15194.76 1295.32 3587.73 4252.85 36934.16 36897.11 8559.85 365
EU-MVSNet75.12 26174.43 26377.18 27683.11 28859.48 27285.71 13382.43 26839.76 36785.64 18688.76 22144.71 34787.88 26473.86 17785.88 30884.16 299
HyFIR lowres test75.12 26172.66 28082.50 19791.44 13865.19 21172.47 32587.31 21246.79 35580.29 26984.30 29452.70 31092.10 17051.88 33486.73 30090.22 224
CMPMVSbinary59.41 2075.12 26173.57 26979.77 23775.84 34867.22 19481.21 23182.18 26950.78 34776.50 29787.66 23855.20 30482.99 31362.17 27390.64 26489.09 245
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
pmmvs474.92 26472.98 27780.73 22484.95 25771.71 16276.23 30077.59 29652.83 33377.73 29386.38 25556.35 29884.97 29957.72 30087.05 29885.51 285
tfpn200view974.86 26574.23 26476.74 28386.24 24352.12 32979.24 25873.87 32073.34 17081.82 24884.60 29246.02 33088.80 25251.98 33190.99 25089.31 238
1112_ss74.82 26673.74 26778.04 26689.57 17660.04 26676.49 29687.09 22154.31 32573.66 32179.80 33760.25 27186.76 28058.37 29484.15 32487.32 267
EGC-MVSNET74.79 26769.99 30189.19 6494.89 3987.00 1491.89 3586.28 2301.09 3732.23 37595.98 2381.87 11089.48 24279.76 10995.96 12891.10 201
ppachtmachnet_test74.73 26874.00 26676.90 28080.71 31156.89 29871.53 32978.42 29258.24 30579.32 28082.92 31057.91 28984.26 30665.60 24991.36 24489.56 233
Patchmatch-RL test74.48 26973.68 26876.89 28184.83 25966.54 20272.29 32669.16 34857.70 30986.76 16186.33 25745.79 33582.59 31469.63 21590.65 26381.54 333
PatchMatch-RL74.48 26973.22 27478.27 26387.70 21185.26 3575.92 30270.09 34364.34 27176.09 30381.25 32565.87 24478.07 33153.86 32183.82 32571.48 356
XXY-MVS74.44 27176.19 24769.21 32184.61 26252.43 32871.70 32877.18 29860.73 29480.60 26390.96 17875.44 17169.35 35056.13 30688.33 28385.86 282
test250674.12 27273.39 27276.28 28891.85 11944.20 36384.06 15748.20 37572.30 19181.90 24594.20 7827.22 37689.77 23964.81 25496.02 12594.87 64
CR-MVSNet74.00 27373.04 27676.85 28279.58 32062.64 23782.58 20176.90 29950.50 35075.72 30792.38 13648.07 32384.07 30768.72 22782.91 33183.85 303
Test_1112_low_res73.90 27473.08 27576.35 28690.35 16455.95 30173.40 32286.17 23250.70 34873.14 32285.94 26458.31 28585.90 29156.51 30483.22 32887.20 268
test20.0373.75 27574.59 26171.22 31481.11 30351.12 33970.15 33472.10 33470.42 21180.28 27191.50 16164.21 24974.72 34246.96 35194.58 17787.82 263
SCA73.32 27672.57 28275.58 29381.62 29655.86 30378.89 26371.37 34061.73 28474.93 31583.42 30360.46 26887.01 27158.11 29882.63 33583.88 300
baseline173.26 27773.54 27072.43 31084.92 25847.79 35279.89 24774.00 31865.93 25478.81 28486.28 26056.36 29781.63 32056.63 30379.04 34887.87 262
131473.22 27872.56 28375.20 29480.41 31657.84 28881.64 22385.36 24151.68 34273.10 32376.65 35261.45 26485.19 29763.54 26279.21 34782.59 319
MVS73.21 27972.59 28175.06 29680.97 30460.81 26181.64 22385.92 23646.03 35871.68 32977.54 34668.47 23089.77 23955.70 30985.39 31074.60 353
HY-MVS64.64 1873.03 28072.47 28474.71 29783.36 28354.19 31382.14 21981.96 27156.76 31769.57 33786.21 26160.03 27284.83 30249.58 34082.65 33385.11 289
thisisatest051573.00 28170.52 29580.46 22881.45 29859.90 26873.16 32474.31 31757.86 30876.08 30477.78 34537.60 36292.12 16965.00 25291.45 24389.35 237
EPNet_dtu72.87 28271.33 29377.49 27577.72 33460.55 26382.35 21075.79 30666.49 25158.39 36881.06 32653.68 30885.98 28953.55 32292.97 21585.95 280
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CVMVSNet72.62 28371.41 29276.28 28883.25 28460.34 26483.50 17779.02 29137.77 36876.33 29985.10 28049.60 32087.41 26870.54 20977.54 35381.08 340
CHOSEN 1792x268872.45 28470.56 29478.13 26490.02 17463.08 23068.72 33883.16 26242.99 36475.92 30585.46 27357.22 29485.18 29849.87 33981.67 33686.14 278
testgi72.36 28574.61 25965.59 33480.56 31342.82 36768.29 33973.35 32566.87 24881.84 24789.93 20472.08 21366.92 35846.05 35392.54 22387.01 271
thres20072.34 28671.55 29174.70 29883.48 28151.60 33475.02 31073.71 32370.14 21778.56 28680.57 33046.20 32888.20 26246.99 35089.29 27284.32 297
FPMVS72.29 28772.00 28673.14 30488.63 19285.00 3774.65 31467.39 34971.94 19777.80 29287.66 23850.48 31875.83 33849.95 33779.51 34358.58 367
FMVSNet572.10 28871.69 28873.32 30281.57 29753.02 32276.77 29178.37 29363.31 27376.37 29891.85 15036.68 36378.98 32847.87 34792.45 22487.95 259
our_test_371.85 28971.59 28972.62 30880.71 31153.78 31669.72 33671.71 33958.80 30278.03 28780.51 33256.61 29678.84 32962.20 27186.04 30785.23 287
PAPM71.77 29070.06 30076.92 27986.39 23553.97 31476.62 29486.62 22753.44 33063.97 35884.73 29057.79 29192.34 16239.65 36381.33 33984.45 295
IB-MVS62.13 1971.64 29168.97 30579.66 24280.80 31062.26 24573.94 31776.90 29963.27 27468.63 33976.79 35133.83 36791.84 17959.28 29287.26 29684.88 291
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
UnsupCasMVSNet_eth71.63 29272.30 28569.62 31976.47 34352.70 32570.03 33580.97 27859.18 30079.36 27988.21 22960.50 26769.12 35158.33 29677.62 35287.04 270
Anonymous2023120671.38 29371.88 28769.88 31786.31 24054.37 31270.39 33374.62 31352.57 33576.73 29688.76 22159.94 27372.06 34444.35 35693.23 20783.23 314
MIMVSNet71.09 29471.59 28969.57 32087.23 22050.07 34578.91 26271.83 33660.20 29871.26 33091.76 15555.08 30576.09 33641.06 36187.02 29982.54 321
MS-PatchMatch70.93 29570.22 29873.06 30581.85 29562.50 24073.82 31977.90 29452.44 33675.92 30581.27 32455.67 30181.75 31855.37 31277.70 35174.94 352
pmmvs570.73 29670.07 29972.72 30677.03 33952.73 32474.14 31575.65 30950.36 35172.17 32785.37 27755.42 30380.67 32452.86 32887.59 29584.77 292
PatchT70.52 29772.76 27963.79 33979.38 32433.53 37377.63 28065.37 35773.61 16571.77 32892.79 12644.38 34875.65 33964.53 25985.37 31182.18 326
N_pmnet70.20 29868.80 30774.38 29980.91 30584.81 4059.12 35976.45 30455.06 32275.31 31382.36 31655.74 30054.82 36847.02 34987.24 29783.52 307
tpmvs70.16 29969.56 30371.96 31274.71 35748.13 34979.63 24975.45 31165.02 26870.26 33481.88 31945.34 34185.68 29358.34 29575.39 35682.08 327
new-patchmatchnet70.10 30073.37 27360.29 34781.23 30216.95 37759.54 35774.62 31362.93 27580.97 25887.93 23462.83 26171.90 34555.24 31495.01 16492.00 181
YYNet170.06 30170.44 29668.90 32273.76 35953.42 32058.99 36067.20 35158.42 30487.10 15385.39 27659.82 27567.32 35559.79 28983.50 32785.96 279
MDA-MVSNet_test_wron70.05 30270.44 29668.88 32373.84 35853.47 31858.93 36167.28 35058.43 30387.09 15485.40 27559.80 27667.25 35659.66 29083.54 32685.92 281
CostFormer69.98 30368.68 30873.87 30077.14 33750.72 34279.26 25774.51 31551.94 34170.97 33384.75 28945.16 34487.49 26755.16 31579.23 34683.40 310
baseline269.77 30466.89 31478.41 25979.51 32258.09 28676.23 30069.57 34657.50 31264.82 35677.45 34846.02 33088.44 25853.08 32477.83 35088.70 250
PatchmatchNetpermissive69.71 30568.83 30672.33 31177.66 33553.60 31779.29 25669.99 34457.66 31072.53 32582.93 30946.45 32780.08 32760.91 28372.09 36083.31 313
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
JIA-IIPM69.41 30666.64 31877.70 27273.19 36171.24 16575.67 30365.56 35670.42 21165.18 35292.97 11833.64 36883.06 31253.52 32369.61 36678.79 347
UnsupCasMVSNet_bld69.21 30769.68 30267.82 32879.42 32351.15 33867.82 34375.79 30654.15 32677.47 29585.36 27859.26 27970.64 34748.46 34479.35 34581.66 331
gg-mvs-nofinetune68.96 30869.11 30468.52 32776.12 34745.32 35983.59 17355.88 37086.68 2664.62 35797.01 730.36 37183.97 30944.78 35582.94 33076.26 350
tpm268.45 30966.83 31573.30 30378.93 33048.50 34879.76 24871.76 33747.50 35469.92 33683.60 29942.07 35388.40 25948.44 34579.51 34383.01 317
tpm67.95 31068.08 31167.55 32978.74 33143.53 36575.60 30467.10 35454.92 32372.23 32688.10 23042.87 35275.97 33752.21 32980.95 34283.15 315
WTY-MVS67.91 31168.35 30966.58 33280.82 30948.12 35065.96 34772.60 33053.67 32971.20 33181.68 32258.97 28169.06 35248.57 34381.67 33682.55 320
test-LLR67.21 31266.74 31668.63 32576.45 34455.21 30867.89 34067.14 35262.43 28165.08 35372.39 35843.41 34969.37 34861.00 28184.89 31881.31 335
sss66.92 31367.26 31365.90 33377.23 33651.10 34064.79 34871.72 33852.12 34070.13 33580.18 33457.96 28865.36 36350.21 33681.01 34181.25 337
KD-MVS_2432*160066.87 31465.81 31970.04 31567.50 37047.49 35362.56 35379.16 28861.21 29077.98 28880.61 32825.29 37882.48 31553.02 32584.92 31680.16 345
miper_refine_blended66.87 31465.81 31970.04 31567.50 37047.49 35362.56 35379.16 28861.21 29077.98 28880.61 32825.29 37882.48 31553.02 32584.92 31680.16 345
tpm cat166.76 31665.21 32271.42 31377.09 33850.62 34378.01 27373.68 32444.89 36068.64 33879.00 34045.51 33882.42 31749.91 33870.15 36381.23 339
DWT-MVSNet_test66.43 31764.37 32372.63 30774.86 35650.86 34176.52 29572.74 32954.06 32765.50 35068.30 36432.13 36984.84 30161.63 27873.59 35882.19 325
PVSNet58.17 2166.41 31865.63 32168.75 32481.96 29349.88 34662.19 35572.51 33251.03 34568.04 34175.34 35650.84 31674.77 34045.82 35482.96 32981.60 332
tpmrst66.28 31966.69 31765.05 33772.82 36539.33 36878.20 27270.69 34253.16 33267.88 34280.36 33348.18 32274.75 34158.13 29770.79 36281.08 340
Patchmatch-test65.91 32067.38 31261.48 34575.51 35043.21 36668.84 33763.79 35962.48 27972.80 32483.42 30344.89 34659.52 36748.27 34686.45 30281.70 330
ADS-MVSNet265.87 32163.64 32672.55 30973.16 36256.92 29767.10 34474.81 31249.74 35266.04 34882.97 30746.71 32577.26 33342.29 35869.96 36483.46 308
test-mter65.00 32263.79 32568.63 32576.45 34455.21 30867.89 34067.14 35250.98 34665.08 35372.39 35828.27 37469.37 34861.00 28184.89 31881.31 335
test0.0.03 164.66 32364.36 32465.57 33575.03 35546.89 35664.69 34961.58 36462.43 28171.18 33277.54 34643.41 34968.47 35340.75 36282.65 33381.35 334
pmmvs362.47 32460.02 33669.80 31871.58 36864.00 22270.52 33258.44 36839.77 36666.05 34775.84 35427.10 37772.28 34346.15 35284.77 32273.11 354
EPMVS62.47 32462.63 32862.01 34170.63 36938.74 36974.76 31252.86 37253.91 32867.71 34480.01 33539.40 35766.60 35955.54 31168.81 36780.68 344
ADS-MVSNet61.90 32662.19 32961.03 34673.16 36236.42 37167.10 34461.75 36249.74 35266.04 34882.97 30746.71 32563.21 36542.29 35869.96 36483.46 308
PMMVS61.65 32760.38 33365.47 33665.40 37469.26 18063.97 35161.73 36336.80 36960.11 36368.43 36259.42 27766.35 36048.97 34278.57 34960.81 364
E-PMN61.59 32861.62 33061.49 34466.81 37255.40 30653.77 36360.34 36566.80 24958.90 36665.50 36540.48 35666.12 36155.72 30886.25 30562.95 363
TESTMET0.1,161.29 32960.32 33464.19 33872.06 36651.30 33667.89 34062.09 36045.27 35960.65 36269.01 36127.93 37564.74 36456.31 30581.65 33876.53 349
MVS-HIRNet61.16 33062.92 32755.87 35079.09 32735.34 37271.83 32757.98 36946.56 35659.05 36591.14 17049.95 31976.43 33538.74 36471.92 36155.84 368
EMVS61.10 33160.81 33261.99 34265.96 37355.86 30353.10 36458.97 36767.06 24656.89 36963.33 36640.98 35467.03 35754.79 31786.18 30663.08 362
DSMNet-mixed60.98 33261.61 33159.09 34972.88 36445.05 36174.70 31346.61 37626.20 37065.34 35190.32 19555.46 30263.12 36641.72 36081.30 34069.09 360
dp60.70 33360.29 33561.92 34372.04 36738.67 37070.83 33064.08 35851.28 34460.75 36177.28 34936.59 36471.58 34647.41 34862.34 36975.52 351
CHOSEN 280x42059.08 33456.52 33966.76 33176.51 34264.39 21849.62 36559.00 36643.86 36255.66 37068.41 36335.55 36568.21 35443.25 35776.78 35567.69 361
PVSNet_051.08 2256.10 33554.97 34059.48 34875.12 35453.28 32155.16 36261.89 36144.30 36159.16 36462.48 36754.22 30765.91 36235.40 36747.01 37059.25 366
new_pmnet55.69 33657.66 33849.76 35275.47 35130.59 37459.56 35651.45 37343.62 36362.49 35975.48 35540.96 35549.15 37137.39 36672.52 35969.55 359
PMMVS255.64 33759.27 33744.74 35364.30 37512.32 37840.60 36649.79 37453.19 33165.06 35584.81 28853.60 30949.76 37032.68 37089.41 27172.15 355
MVEpermissive40.22 2351.82 33850.47 34155.87 35062.66 37651.91 33131.61 36839.28 37740.65 36550.76 37174.98 35756.24 29944.67 37233.94 36964.11 36871.04 358
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method30.46 33929.60 34233.06 35417.99 3783.84 38013.62 36973.92 3192.79 37218.29 37453.41 36928.53 37343.25 37322.56 37135.27 37252.11 369
cdsmvs_eth3d_5k20.81 34027.75 3430.00 3590.00 3820.00 3830.00 37085.44 2400.00 3770.00 37882.82 31181.46 1140.00 3780.00 3760.00 3760.00 374
tmp_tt20.25 34124.50 3447.49 3564.47 3798.70 37934.17 36725.16 3791.00 37432.43 37318.49 37139.37 3589.21 37521.64 37243.75 3714.57 371
ab-mvs-re6.65 3428.87 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37879.80 3370.00 3820.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas6.41 3438.55 3460.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37776.94 1600.00 3780.00 3760.00 3760.00 374
test1236.27 3448.08 3470.84 3571.11 3810.57 38162.90 3520.82 3810.54 3751.07 3772.75 3761.26 3800.30 3761.04 3741.26 3751.66 372
testmvs5.91 3457.65 3480.72 3581.20 3800.37 38259.14 3580.67 3820.49 3761.11 3762.76 3750.94 3810.24 3771.02 3751.47 3741.55 373
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
MSC_two_6792asdad88.81 6991.55 13277.99 9391.01 14096.05 887.45 1998.17 3392.40 163
PC_three_145258.96 30190.06 9491.33 16480.66 12593.03 14575.78 15995.94 13092.48 159
No_MVS88.81 6991.55 13277.99 9391.01 14096.05 887.45 1998.17 3392.40 163
test_one_060193.85 6373.27 13594.11 3786.57 2793.47 4094.64 5788.42 27
eth-test20.00 382
eth-test0.00 382
ZD-MVS92.22 10580.48 7091.85 11671.22 20490.38 8992.98 11686.06 6396.11 681.99 8596.75 97
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6490.64 1187.16 2897.60 6692.73 147
IU-MVS94.18 5072.64 14190.82 14556.98 31589.67 10885.78 4797.92 4893.28 126
OPU-MVS88.27 8491.89 11777.83 9690.47 4991.22 16681.12 11994.68 7674.48 16995.35 14992.29 170
test_241102_TWO93.71 5383.77 4493.49 3894.27 7289.27 2295.84 2286.03 4497.82 5392.04 179
test_241102_ONE94.18 5072.65 13993.69 5483.62 4694.11 2393.78 10390.28 1595.50 47
9.1489.29 6291.84 12188.80 8495.32 1175.14 15091.07 7892.89 12187.27 4693.78 11283.69 6897.55 69
save fliter93.75 6477.44 10286.31 12489.72 17570.80 207
test_0728_THIRD85.33 3293.75 3194.65 5487.44 4595.78 2787.41 2198.21 3092.98 138
test_0728_SECOND86.79 10294.25 4972.45 14990.54 4694.10 3895.88 1686.42 3497.97 4592.02 180
test072694.16 5372.56 14590.63 4593.90 4683.61 4793.75 3194.49 6189.76 19
GSMVS83.88 300
test_part293.86 6277.77 9792.84 48
sam_mvs146.11 32983.88 300
sam_mvs45.92 334
ambc82.98 18390.55 16264.86 21388.20 9189.15 18689.40 11793.96 9371.67 21891.38 19278.83 12096.55 10392.71 150
MTGPAbinary91.81 119
test_post178.85 2653.13 37345.19 34380.13 32658.11 298
test_post3.10 37445.43 33977.22 334
patchmatchnet-post81.71 32145.93 33387.01 271
GG-mvs-BLEND67.16 33073.36 36046.54 35884.15 15455.04 37158.64 36761.95 36829.93 37283.87 31038.71 36576.92 35471.07 357
MTMP90.66 4333.14 378
gm-plane-assit75.42 35244.97 36252.17 33772.36 36087.90 26354.10 320
test9_res80.83 9896.45 10890.57 217
TEST992.34 9979.70 7783.94 16090.32 15865.41 26684.49 20590.97 17682.03 10493.63 117
test_892.09 10978.87 8583.82 16590.31 16065.79 25684.36 20890.96 17881.93 10693.44 129
agg_prior279.68 11196.16 12090.22 224
agg_prior91.58 12977.69 9890.30 16184.32 20993.18 137
TestCases89.68 5491.59 12683.40 5095.44 979.47 9588.00 14093.03 11482.66 9191.47 18570.81 20296.14 12194.16 92
test_prior478.97 8484.59 146
test_prior283.37 18075.43 14584.58 20391.57 15881.92 10879.54 11396.97 88
test_prior86.32 11090.59 16071.99 15692.85 9194.17 9692.80 144
旧先验281.73 22156.88 31686.54 17284.90 30072.81 191
新几何281.72 222
新几何182.95 18493.96 5978.56 8980.24 28255.45 32083.93 21891.08 17171.19 22088.33 26065.84 24793.07 21081.95 329
旧先验191.97 11271.77 15881.78 27391.84 15173.92 18993.65 19883.61 306
无先验82.81 19685.62 23958.09 30691.41 19067.95 23484.48 294
原ACMM282.26 215
原ACMM184.60 14792.81 9074.01 13091.50 12562.59 27782.73 23490.67 18876.53 16794.25 8969.24 21895.69 14285.55 284
test22293.31 7576.54 11579.38 25577.79 29552.59 33482.36 23890.84 18266.83 23991.69 23981.25 337
testdata286.43 28463.52 263
segment_acmp81.94 105
testdata79.54 24492.87 8572.34 15080.14 28459.91 29985.47 19091.75 15667.96 23385.24 29668.57 23092.18 23181.06 342
testdata179.62 25073.95 162
test1286.57 10590.74 15672.63 14390.69 14882.76 23379.20 13694.80 7395.32 15192.27 172
plane_prior793.45 7077.31 106
plane_prior692.61 9176.54 11574.84 178
plane_prior593.61 5895.22 5980.78 9995.83 13594.46 80
plane_prior492.95 119
plane_prior376.85 11377.79 11686.55 167
plane_prior289.45 7379.44 97
plane_prior192.83 89
plane_prior76.42 11887.15 10875.94 13995.03 163
n20.00 383
nn0.00 383
door-mid74.45 316
lessismore_v085.95 12191.10 14870.99 16770.91 34191.79 6794.42 6661.76 26392.93 14879.52 11593.03 21293.93 100
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 4991.18 595.52 4285.36 5098.73 795.23 58
test1191.46 126
door72.57 331
HQP5-MVS70.66 168
HQP-NCC91.19 14384.77 14173.30 17280.55 266
ACMP_Plane91.19 14384.77 14173.30 17280.55 266
BP-MVS77.30 144
HQP4-MVS80.56 26594.61 8093.56 121
HQP3-MVS92.68 9794.47 179
HQP2-MVS72.10 211
NP-MVS91.95 11374.55 12790.17 201
MDTV_nov1_ep13_2view27.60 37670.76 33146.47 35761.27 36045.20 34249.18 34183.75 305
MDTV_nov1_ep1368.29 31078.03 33243.87 36474.12 31672.22 33352.17 33767.02 34685.54 26945.36 34080.85 32355.73 30784.42 323
ACMMP++_ref95.74 141
ACMMP++97.35 78
Test By Simon79.09 137
ITE_SJBPF90.11 5090.72 15784.97 3890.30 16181.56 7290.02 9691.20 16882.40 9490.81 20973.58 18194.66 17594.56 75
DeepMVS_CXcopyleft24.13 35532.95 37729.49 37521.63 38012.07 37137.95 37245.07 37030.84 37019.21 37417.94 37333.06 37323.69 370