DeepPCF-MVS | | 69.58 1 | 79.03 1 | 79.00 1 | 79.13 3 | 84.92 5 | 60.32 4 | 83.03 7 | 85.33 3 | 62.86 4 | 80.17 1 | 90.03 2 | 61.76 1 | 88.95 4 | 74.21 2 | 88.67 2 | 88.12 2 |
|
DeepC-MVS | | 69.38 2 | 78.56 2 | 78.14 2 | 79.83 1 | 83.60 6 | 61.62 2 | 84.17 4 | 86.85 1 | 63.23 2 | 73.84 2 | 90.25 1 | 57.68 2 | 89.96 1 | 74.62 1 | 89.03 1 | 87.89 3 |
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 | | 68.24 3 | 77.25 3 | 76.63 3 | 79.12 4 | 86.15 1 | 60.86 3 | 84.71 3 | 84.85 4 | 61.98 6 | 73.06 3 | 88.88 5 | 53.72 3 | 89.06 3 | 68.27 4 | 88.04 3 | 87.42 5 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
ACMMwithACMP | | | 76.02 4 | 75.33 4 | 78.07 5 | 85.20 3 | 61.91 1 | 85.49 2 | 84.44 6 | 63.04 3 | 69.80 6 | 89.74 3 | 45.43 12 | 87.16 8 | 72.01 3 | 82.87 11 | 85.14 8 |
|
3Dnovator+ | | 66.72 4 | 75.84 5 | 74.57 5 | 79.66 2 | 82.40 7 | 59.92 5 | 85.83 1 | 86.32 2 | 66.92 1 | 67.80 11 | 89.24 4 | 42.03 15 | 89.38 2 | 64.07 7 | 86.50 4 | 89.69 1 |
|
MG-MVS | | | 73.96 6 | 73.89 6 | 74.16 12 | 85.65 2 | 49.69 25 | 81.59 11 | 81.29 13 | 61.45 7 | 71.05 4 | 88.11 6 | 51.77 6 | 87.73 6 | 61.05 9 | 83.09 9 | 85.05 10 |
|
CLD-MVS | | | 73.33 7 | 72.68 7 | 75.29 10 | 78.82 15 | 53.33 19 | 78.23 21 | 84.79 5 | 61.30 8 | 70.41 5 | 81.04 24 | 52.41 5 | 87.12 9 | 64.61 6 | 82.49 12 | 85.41 7 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
3Dnovator | | 64.47 5 | 72.49 8 | 71.39 9 | 75.79 6 | 77.70 20 | 58.99 7 | 80.66 14 | 83.15 7 | 62.24 5 | 65.46 14 | 86.59 7 | 42.38 14 | 85.52 12 | 59.59 11 | 84.72 5 | 82.85 12 |
|
ACMP | | 63.53 6 | 72.30 9 | 71.20 10 | 75.59 8 | 80.28 13 | 57.54 11 | 82.74 8 | 82.84 9 | 60.58 9 | 65.24 15 | 86.18 9 | 39.25 17 | 86.03 11 | 66.95 5 | 76.79 18 | 83.22 11 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
0108 | | | 72.17 10 | 71.41 8 | 74.45 11 | 81.95 9 | 57.22 12 | 84.03 5 | 80.38 15 | 59.89 10 | 68.40 9 | 82.33 20 | 49.64 8 | 87.83 5 | 51.87 12 | 84.16 7 | 78.30 20 |
|
MAR-MVS | | | 71.51 11 | 70.15 13 | 75.60 7 | 81.84 10 | 59.39 6 | 81.38 12 | 82.90 8 | 54.90 17 | 68.08 10 | 78.70 27 | 47.73 10 | 85.51 13 | 51.68 14 | 84.17 6 | 81.88 13 |
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 |
OMC-MVS | | | 71.40 12 | 70.60 11 | 73.78 15 | 76.60 24 | 53.15 20 | 79.74 17 | 79.78 18 | 58.37 12 | 68.75 8 | 86.45 8 | 45.43 12 | 80.60 23 | 62.58 8 | 77.73 16 | 87.58 4 |
|
PHI-MVS | | | 71.29 13 | 70.59 12 | 73.38 16 | 82.12 8 | 57.05 13 | 83.92 6 | 79.92 17 | 59.44 11 | 67.80 11 | 77.55 31 | 50.20 7 | 87.36 7 | 50.55 15 | 83.85 8 | 75.74 28 |
|
PCF-MVS | | 61.88 8 | 70.95 14 | 69.49 15 | 75.35 9 | 77.63 21 | 55.71 14 | 76.04 26 | 81.81 11 | 50.30 24 | 69.66 7 | 85.40 11 | 52.51 4 | 84.89 15 | 51.82 13 | 80.24 13 | 85.45 6 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
ACMM | | 61.98 7 | 70.80 15 | 69.73 14 | 74.02 13 | 80.59 12 | 58.59 8 | 82.68 9 | 82.02 10 | 55.46 16 | 67.18 13 | 84.39 14 | 38.51 20 | 83.17 18 | 60.65 10 | 76.10 19 | 80.30 15 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
AdaColmap |  | | 69.99 16 | 68.66 16 | 73.97 14 | 84.94 4 | 57.83 10 | 82.63 10 | 78.71 20 | 56.28 14 | 64.34 17 | 84.14 15 | 41.57 16 | 87.06 10 | 46.45 18 | 78.88 15 | 77.02 25 |
|
OpenMVS |  | 61.03 9 | 68.85 17 | 67.56 17 | 72.70 17 | 74.26 28 | 53.99 17 | 81.21 13 | 81.34 12 | 52.70 19 | 62.75 18 | 85.55 10 | 38.86 19 | 84.14 17 | 48.41 17 | 83.01 10 | 79.97 17 |
|
PAPM | | | 67.92 18 | 66.69 18 | 71.63 19 | 78.09 17 | 49.02 26 | 77.09 24 | 81.24 14 | 51.04 22 | 60.91 20 | 83.98 16 | 47.71 11 | 84.99 14 | 40.81 25 | 79.32 14 | 80.90 14 |
|
TAPA-MVS | | 59.36 10 | 66.60 19 | 65.20 19 | 70.81 21 | 76.63 23 | 48.75 27 | 76.52 25 | 80.04 16 | 50.64 23 | 65.24 15 | 84.93 12 | 39.15 18 | 78.54 27 | 36.77 30 | 76.88 17 | 85.14 8 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
ACMH+ | | 57.40 11 | 66.12 20 | 64.06 20 | 72.30 18 | 77.79 19 | 52.83 21 | 80.39 15 | 78.03 21 | 57.30 13 | 57.47 23 | 82.55 18 | 27.68 30 | 84.17 16 | 45.54 19 | 69.78 27 | 79.90 18 |
|
CNLPA | | | 65.43 21 | 64.02 21 | 69.68 24 | 78.73 16 | 58.07 9 | 77.82 23 | 70.71 30 | 51.49 20 | 61.57 19 | 83.58 17 | 38.23 21 | 70.82 32 | 43.90 20 | 70.10 26 | 80.16 16 |
|
ACMH | | 55.70 13 | 65.20 22 | 63.57 22 | 70.07 23 | 78.07 18 | 52.01 24 | 79.48 18 | 79.69 19 | 55.75 15 | 56.59 26 | 80.98 25 | 27.12 31 | 80.94 22 | 42.90 22 | 71.58 23 | 77.25 24 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
PLC |  | 56.13 12 | 65.09 23 | 63.21 23 | 70.72 22 | 81.04 11 | 54.87 16 | 78.57 19 | 77.47 22 | 48.51 26 | 55.71 28 | 81.89 21 | 33.71 23 | 79.71 24 | 41.66 24 | 70.37 25 | 77.58 22 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
LS3D | | | 64.71 24 | 62.50 24 | 71.34 20 | 79.72 14 | 55.71 14 | 79.82 16 | 74.72 26 | 48.50 27 | 56.62 25 | 84.62 13 | 33.59 24 | 82.34 19 | 29.65 37 | 75.23 20 | 75.97 27 |
|
LTVRE_ROB | | 55.42 14 | 63.15 25 | 61.23 25 | 68.92 27 | 76.57 25 | 47.80 28 | 59.92 35 | 76.39 23 | 54.35 18 | 58.67 22 | 82.46 19 | 29.44 28 | 81.49 20 | 42.12 23 | 71.14 24 | 77.46 23 |
Andreas Kuhn, Heiko HirschmĂĽller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016 |
F-COLMAP | | | 63.05 26 | 60.87 26 | 69.58 25 | 76.99 22 | 53.63 18 | 78.12 22 | 76.16 24 | 47.97 28 | 52.41 31 | 81.61 22 | 27.87 29 | 78.11 28 | 40.07 26 | 66.66 29 | 77.00 26 |
|
MSDG | | | 61.81 27 | 59.23 27 | 69.55 26 | 72.64 30 | 52.63 22 | 70.45 29 | 75.81 25 | 51.38 21 | 53.70 30 | 76.11 32 | 29.52 26 | 81.08 21 | 37.70 29 | 65.79 31 | 74.93 30 |
|
COLMAP_ROB |  | 52.97 15 | 61.27 28 | 58.81 28 | 68.64 28 | 74.63 27 | 52.51 23 | 78.42 20 | 73.30 28 | 49.92 25 | 50.96 32 | 81.51 23 | 23.06 34 | 79.40 26 | 31.63 35 | 65.85 30 | 74.01 31 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
OpenMVS_ROB |  | 52.78 16 | 60.03 29 | 58.14 30 | 65.69 29 | 70.47 31 | 44.82 32 | 75.33 27 | 70.86 29 | 45.04 33 | 56.06 27 | 76.00 33 | 26.89 33 | 79.65 25 | 35.36 32 | 67.29 28 | 72.60 33 |
|
PatchmatchNet | | | 59.84 30 | 58.24 29 | 64.65 30 | 73.05 29 | 46.70 31 | 69.42 30 | 62.18 38 | 47.55 30 | 58.88 21 | 71.96 36 | 34.49 22 | 69.16 33 | 42.99 21 | 63.60 32 | 78.07 21 |
|
PVSNet | | 50.76 17 | 58.40 31 | 57.39 31 | 61.42 35 | 75.53 26 | 44.04 35 | 61.43 34 | 63.45 37 | 47.04 32 | 56.91 24 | 73.61 35 | 27.00 32 | 64.76 35 | 39.12 27 | 72.40 22 | 75.47 29 |
|
CMPMVS |  | 42.80 19 | 57.81 32 | 55.97 32 | 63.32 31 | 60.98 38 | 47.38 29 | 64.66 33 | 69.50 32 | 32.06 38 | 46.83 34 | 77.80 29 | 29.50 27 | 71.36 31 | 48.68 16 | 73.75 21 | 71.21 36 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
USDC | | | 56.35 33 | 54.24 33 | 62.69 32 | 64.74 35 | 40.31 38 | 65.05 32 | 73.83 27 | 43.93 35 | 47.58 33 | 77.71 30 | 15.36 36 | 75.05 29 | 38.19 28 | 61.81 34 | 72.70 32 |
|
TinyColmap | | | 54.14 34 | 51.72 34 | 61.40 36 | 66.84 33 | 41.97 36 | 66.52 31 | 68.51 33 | 44.81 34 | 42.69 37 | 75.77 34 | 11.66 39 | 72.94 30 | 31.96 34 | 56.77 35 | 69.27 37 |
|
TDRefinement | | | 53.44 35 | 50.72 35 | 61.60 34 | 64.31 36 | 46.96 30 | 70.89 28 | 65.27 35 | 41.78 36 | 44.61 36 | 77.98 28 | 11.52 40 | 66.36 34 | 28.57 38 | 51.59 37 | 71.49 35 |
|
PVSNet_0 | | 43.31 18 | 47.46 36 | 45.64 36 | 52.92 38 | 67.60 32 | 44.65 33 | 54.06 39 | 54.64 39 | 41.59 37 | 46.15 35 | 58.75 39 | 30.99 25 | 58.66 40 | 32.18 33 | 24.81 41 | 55.46 39 |
|
LF4IMVS | | | 42.95 37 | 42.26 37 | 45.04 40 | 48.30 40 | 32.50 41 | 54.80 37 | 48.49 42 | 28.03 40 | 40.51 38 | 70.16 37 | 9.24 41 | 43.89 43 | 31.63 35 | 49.18 39 | 58.72 38 |
|
FPMVS | | | 42.18 38 | 41.11 38 | 45.39 39 | 58.03 39 | 41.01 37 | 49.50 40 | 53.81 40 | 30.07 39 | 33.71 39 | 64.03 38 | 11.69 38 | 52.08 42 | 14.01 43 | 55.11 36 | 43.09 41 |
|
ANet_high | | | 41.38 39 | 37.47 39 | 53.11 37 | 39.73 43 | 24.45 46 | 56.94 36 | 69.69 31 | 47.65 29 | 26.04 40 | 52.32 40 | 12.44 37 | 62.38 38 | 21.80 40 | 10.61 46 | 72.49 34 |
|
PMVS |  | 28.69 20 | 36.22 40 | 33.29 40 | 45.02 41 | 36.82 44 | 35.98 40 | 54.68 38 | 48.74 41 | 26.31 41 | 21.02 41 | 51.61 41 | 2.88 44 | 60.10 39 | 9.99 45 | 47.58 40 | 38.99 43 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
Gipuma |  | | 34.77 41 | 31.91 41 | 43.33 43 | 62.05 37 | 37.87 39 | 20.39 44 | 67.03 34 | 23.23 42 | 18.41 42 | 25.84 45 | 4.24 42 | 62.73 36 | 14.71 42 | 51.32 38 | 29.38 45 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
wuykxyi23d | | | 28.12 42 | 22.54 43 | 44.87 42 | 34.97 45 | 32.11 42 | 37.96 42 | 47.31 43 | 13.32 44 | 9.29 46 | 23.72 46 | 0.45 47 | 56.58 41 | 21.85 39 | 13.98 43 | 45.93 40 |
|
PNet_i23d | | | 27.88 43 | 25.99 42 | 33.55 44 | 47.54 41 | 25.89 44 | 47.24 41 | 32.91 44 | 21.44 43 | 15.90 43 | 38.09 42 | 0.85 46 | 42.76 44 | 16.90 41 | 13.03 44 | 32.00 44 |
|
MVE |  | 17.77 21 | 21.41 44 | 17.77 44 | 32.34 45 | 34.34 46 | 25.44 45 | 16.11 45 | 24.11 45 | 11.19 45 | 13.22 44 | 31.92 43 | 1.58 45 | 30.95 45 | 10.47 44 | 17.03 42 | 40.62 42 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
wuyk23d | | | 13.32 45 | 12.52 45 | 15.71 46 | 47.54 41 | 26.27 43 | 31.06 43 | 1.98 47 | 4.93 47 | 5.18 47 | 1.94 47 | 0.45 47 | 18.54 46 | 6.81 47 | 12.83 45 | 2.33 47 |
|
Test By Simon | | | | | | | | | | | | | 48.33 9 | | | | |
|
DeepMVS_CX |  | | | | 12.03 47 | 17.97 47 | 10.91 47 | | 10.60 46 | 7.46 46 | 11.07 45 | 28.36 44 | 3.28 43 | 11.29 47 | 8.01 46 | 9.74 47 | 13.89 46 |
|
ITE_SJBPF | | | | | 62.09 33 | 66.16 34 | 44.55 34 | | 64.32 36 | 47.36 31 | 55.31 29 | 80.34 26 | 19.27 35 | 62.68 37 | 36.29 31 | 62.39 33 | 79.04 19 |
|