DeepPCF-MVS | | 79.04 1 | 85.30 1 | 88.93 1 | 81.06 5 | 88.77 4 | 90.48 1 | 85.46 9 | 73.08 3 | 90.97 1 | 73.77 7 | 84.81 1 | 85.95 1 | 77.43 3 | 88.22 2 | 87.73 2 | 87.85 13 | 94.34 1 |
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DeepC-MVS | | 78.47 2 | 84.81 2 | 86.03 2 | 83.37 1 | 89.29 2 | 90.38 2 | 88.61 1 | 76.50 1 | 86.25 3 | 77.22 2 | 75.12 4 | 80.28 3 | 77.59 2 | 88.39 1 | 88.17 1 | 91.02 1 | 93.66 2 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
DeepC-MVS_fast | | 78.24 3 | 84.27 3 | 85.50 3 | 82.85 2 | 90.46 1 | 89.24 4 | 87.83 3 | 74.24 2 | 84.88 5 | 76.23 3 | 75.26 3 | 81.05 2 | 77.62 1 | 88.02 3 | 87.62 3 | 90.69 3 | 92.41 3 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
ACMMwithACMP | | | 83.42 4 | 85.27 4 | 81.26 4 | 88.47 5 | 88.49 5 | 88.31 2 | 72.09 4 | 83.42 7 | 72.77 9 | 82.65 2 | 78.22 6 | 75.18 6 | 86.24 5 | 85.76 5 | 90.74 2 | 92.13 4 |
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3Dnovator+ | | 75.73 4 | 82.40 5 | 82.76 5 | 81.97 3 | 88.02 6 | 89.67 3 | 86.60 4 | 71.48 6 | 81.28 8 | 78.18 1 | 64.78 10 | 77.96 7 | 77.13 4 | 87.32 4 | 86.83 4 | 90.41 4 | 91.48 5 |
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OMC-MVS | | | 80.26 6 | 82.59 6 | 77.54 12 | 83.04 16 | 85.54 12 | 83.25 13 | 65.05 17 | 87.32 2 | 72.42 10 | 72.04 7 | 78.97 4 | 73.30 11 | 83.86 10 | 81.60 12 | 88.15 10 | 88.83 9 |
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ACMP | | 73.23 7 | 79.79 7 | 80.53 8 | 78.94 8 | 85.61 9 | 85.68 11 | 85.61 8 | 69.59 9 | 77.33 12 | 71.00 12 | 74.45 5 | 69.16 15 | 71.88 13 | 83.15 12 | 83.37 10 | 89.92 6 | 90.57 7 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
3Dnovator | | 73.76 5 | 79.75 8 | 80.52 9 | 78.84 9 | 84.94 13 | 87.35 8 | 84.43 11 | 65.54 16 | 78.29 11 | 73.97 6 | 63.00 14 | 75.62 10 | 74.07 8 | 85.00 8 | 85.34 6 | 90.11 5 | 89.04 8 |
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AdaColmap |  | | 79.74 9 | 78.62 13 | 81.05 6 | 89.23 3 | 86.06 10 | 84.95 10 | 71.96 5 | 79.39 10 | 75.51 4 | 63.16 12 | 68.84 16 | 76.51 5 | 83.55 11 | 82.85 11 | 88.13 11 | 86.46 14 |
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PCF-MVS | | 73.28 6 | 79.42 10 | 80.41 10 | 78.26 10 | 84.88 15 | 88.17 6 | 86.08 5 | 69.85 8 | 75.23 15 | 68.43 13 | 68.03 9 | 78.38 5 | 71.76 15 | 81.26 15 | 80.65 15 | 88.56 8 | 91.18 6 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
CLD-MVS | | | 79.35 11 | 81.23 7 | 77.16 13 | 85.01 11 | 86.92 9 | 85.87 7 | 60.89 24 | 80.07 9 | 75.35 5 | 72.96 6 | 73.21 11 | 68.43 21 | 85.41 7 | 84.63 8 | 87.41 15 | 85.44 15 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
MAR-MVS | | | 79.21 12 | 80.32 11 | 77.92 11 | 87.46 7 | 88.15 7 | 83.95 12 | 67.48 13 | 74.28 16 | 68.25 14 | 64.70 11 | 77.04 8 | 72.17 12 | 85.42 6 | 85.00 7 | 88.22 9 | 87.62 12 |
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 |
ACMM | | 72.26 8 | 78.86 13 | 78.13 14 | 79.71 7 | 86.89 8 | 83.40 16 | 86.02 6 | 70.50 7 | 75.28 14 | 71.49 11 | 63.01 13 | 69.26 14 | 73.57 10 | 84.11 9 | 83.98 9 | 89.76 7 | 87.84 10 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
TAPA-MVS | | 71.42 9 | 77.69 14 | 80.05 12 | 74.94 17 | 80.68 22 | 84.52 14 | 81.36 15 | 63.14 21 | 84.77 6 | 64.82 17 | 68.72 8 | 75.91 9 | 71.86 14 | 81.62 14 | 79.55 16 | 87.80 14 | 85.24 16 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
CNLPA | | | 77.20 15 | 77.54 15 | 76.80 14 | 82.63 18 | 84.31 15 | 79.77 17 | 64.64 18 | 85.17 4 | 73.18 8 | 56.37 21 | 69.81 13 | 74.53 7 | 81.12 16 | 78.69 21 | 86.04 21 | 87.29 13 |
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OpenMVS |  | 70.44 10 | 76.15 16 | 76.82 16 | 75.37 16 | 85.01 11 | 84.79 13 | 78.99 20 | 62.07 23 | 71.27 18 | 67.88 15 | 57.91 19 | 72.36 12 | 70.15 17 | 82.23 13 | 81.41 13 | 88.12 12 | 87.78 11 |
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PLC |  | 68.99 11 | 75.68 17 | 75.31 17 | 76.12 15 | 82.94 17 | 81.26 19 | 79.94 16 | 66.10 15 | 77.15 13 | 66.86 16 | 59.13 18 | 68.53 17 | 73.73 9 | 80.38 19 | 79.04 19 | 87.13 16 | 81.68 20 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
LS3D | | | 74.08 18 | 73.39 18 | 74.88 18 | 85.05 10 | 82.62 17 | 79.71 18 | 68.66 10 | 72.82 17 | 58.80 19 | 57.61 20 | 61.31 19 | 71.07 16 | 80.32 20 | 78.87 20 | 86.00 22 | 80.18 21 |
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PHI-MVS | | | 73.24 19 | 73.13 19 | 73.36 20 | 84.90 14 | 80.81 21 | 81.81 14 | 66.86 14 | 65.61 21 | 51.22 23 | 61.74 15 | 64.36 18 | 68.96 18 | 80.55 18 | 79.44 18 | 86.40 19 | 79.43 22 |
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MSDG | | | 71.52 20 | 69.87 22 | 73.44 19 | 82.21 21 | 79.35 22 | 79.52 19 | 64.59 19 | 66.15 20 | 61.87 18 | 53.21 23 | 56.09 21 | 65.85 22 | 78.94 21 | 78.50 22 | 86.60 18 | 76.85 24 |
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ACMH+ | | 66.54 12 | 71.36 21 | 70.09 20 | 72.85 21 | 82.59 19 | 81.13 20 | 78.56 21 | 68.04 12 | 61.55 24 | 52.52 22 | 51.50 25 | 54.14 22 | 68.56 20 | 78.85 22 | 79.50 17 | 86.82 17 | 83.94 18 |
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ACMH | | 65.37 13 | 70.71 22 | 70.00 21 | 71.54 22 | 82.51 20 | 82.47 18 | 77.78 22 | 68.13 11 | 56.19 26 | 46.06 28 | 54.30 22 | 51.20 24 | 68.68 19 | 80.66 17 | 80.72 14 | 86.07 20 | 84.45 17 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
COLMAP_ROB |  | 62.73 14 | 67.66 23 | 66.76 24 | 68.70 23 | 80.49 23 | 77.98 23 | 75.29 24 | 62.95 22 | 63.62 22 | 49.96 25 | 47.32 27 | 50.72 25 | 58.57 28 | 76.87 23 | 75.50 25 | 84.94 23 | 75.33 27 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
USDC | | | 67.36 24 | 67.90 23 | 66.74 25 | 71.72 25 | 75.23 26 | 71.58 25 | 60.28 25 | 67.45 19 | 50.54 24 | 60.93 16 | 45.20 26 | 62.08 25 | 76.56 24 | 74.50 26 | 84.25 24 | 75.38 26 |
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TDRefinement | | | 66.09 25 | 65.03 25 | 67.31 24 | 69.73 28 | 76.75 25 | 75.33 23 | 64.55 20 | 60.28 25 | 49.72 26 | 45.63 28 | 42.83 27 | 60.46 26 | 75.75 25 | 75.95 24 | 84.08 25 | 78.04 23 |
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PatchmatchNet | | | 64.21 26 | 64.65 26 | 63.69 27 | 71.29 26 | 68.66 29 | 69.63 26 | 51.70 30 | 63.04 23 | 53.77 21 | 59.83 17 | 58.34 20 | 60.23 27 | 68.54 29 | 66.06 29 | 75.56 28 | 68.08 29 |
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TinyColmap | | | 62.84 27 | 61.03 29 | 64.96 26 | 69.61 29 | 71.69 27 | 68.48 27 | 59.76 26 | 55.41 27 | 47.69 27 | 47.33 26 | 34.20 29 | 62.76 24 | 74.52 26 | 72.59 27 | 81.44 26 | 71.47 28 |
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CMPMVS |  | 47.78 16 | 62.49 28 | 62.52 28 | 62.46 28 | 70.01 27 | 70.66 28 | 62.97 29 | 51.84 29 | 51.98 28 | 56.71 20 | 42.87 29 | 53.62 23 | 57.80 29 | 72.23 28 | 70.37 28 | 75.45 29 | 75.91 25 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
LTVRE_ROB | | 59.44 15 | 61.82 29 | 62.64 27 | 60.87 29 | 72.83 24 | 77.19 24 | 64.37 28 | 58.97 27 | 33.56 31 | 28.00 31 | 52.59 24 | 42.21 28 | 63.93 23 | 74.52 26 | 76.28 23 | 77.15 27 | 82.13 19 |
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 |
FPMVS | | | 51.87 30 | 50.00 30 | 54.07 30 | 66.83 30 | 57.25 30 | 60.25 30 | 50.91 31 | 50.25 29 | 34.36 30 | 36.04 30 | 32.02 30 | 41.49 30 | 58.98 31 | 56.07 31 | 70.56 30 | 59.36 30 |
|
PMVS |  | 39.38 17 | 46.06 31 | 43.30 31 | 49.28 31 | 62.93 31 | 38.75 31 | 41.88 31 | 53.50 28 | 33.33 32 | 35.46 29 | 28.90 31 | 31.01 31 | 33.04 31 | 58.61 32 | 54.63 32 | 68.86 31 | 57.88 31 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
Gipuma |  | | 36.38 32 | 35.80 32 | 37.07 32 | 45.76 32 | 33.90 32 | 29.81 32 | 48.47 32 | 39.91 30 | 18.02 32 | 8.00 34 | 8.14 33 | 25.14 33 | 59.29 30 | 61.02 30 | 55.19 32 | 40.31 32 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
MVE |  | 19.12 18 | 20.47 33 | 23.27 33 | 17.20 33 | 12.66 33 | 25.41 33 | 10.52 34 | 34.14 33 | 14.79 34 | 6.53 34 | 8.79 33 | 4.68 34 | 16.64 34 | 29.49 33 | 41.63 33 | 22.73 33 | 38.11 33 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
DeepMVS_CX |  | | | | | | 18.74 34 | 18.55 33 | 8.02 34 | 26.96 33 | 7.33 33 | 23.81 32 | 13.05 32 | 25.99 32 | 25.17 34 | | 22.45 34 | 36.25 34 |
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