LCM-MVSNet | | | 99.95 1 | 99.95 1 | 99.95 1 | 99.99 1 | 99.99 1 | 99.95 2 | 99.97 3 | 99.99 1 | 100.00 1 | 99.98 8 | 99.78 8 | 100.00 1 | 99.92 3 | 100.00 1 | 99.87 10 |
|
mvs_tets | | | 99.90 2 | 99.90 2 | 99.90 4 | 99.96 5 | 99.79 33 | 99.72 25 | 99.88 18 | 99.92 5 | 99.98 3 | 99.93 14 | 99.94 2 | 99.98 7 | 99.77 30 | 100.00 1 | 99.92 3 |
|
jajsoiax | | | 99.89 3 | 99.89 3 | 99.89 6 | 99.96 5 | 99.78 35 | 99.70 29 | 99.86 22 | 99.89 10 | 99.98 3 | 99.90 23 | 99.94 2 | 99.98 7 | 99.75 31 | 100.00 1 | 99.90 5 |
|
ANet_high | | | 99.88 4 | 99.87 4 | 99.91 2 | 99.99 1 | 99.91 3 | 99.65 54 | 100.00 1 | 99.90 6 | 100.00 1 | 99.97 10 | 99.61 17 | 99.97 16 | 99.75 31 | 100.00 1 | 99.84 15 |
|
LTVRE_ROB | | 99.19 1 | 99.88 4 | 99.87 4 | 99.88 12 | 99.91 21 | 99.90 4 | 99.96 1 | 99.92 7 | 99.90 6 | 99.97 6 | 99.87 37 | 99.81 7 | 99.95 40 | 99.54 44 | 99.99 20 | 99.80 25 |
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 |
pmmvs6 | | | 99.86 6 | 99.86 6 | 99.83 24 | 99.94 15 | 99.90 4 | 99.83 8 | 99.91 11 | 99.85 19 | 99.94 20 | 99.95 12 | 99.73 10 | 99.90 108 | 99.65 35 | 99.97 46 | 99.69 56 |
|
v52 | | | 99.85 7 | 99.84 7 | 99.89 6 | 99.96 5 | 99.89 6 | 99.87 5 | 99.81 56 | 99.85 19 | 99.96 8 | 99.90 23 | 99.27 42 | 99.95 40 | 99.93 1 | 99.99 20 | 99.82 23 |
|
V4 | | | 99.85 7 | 99.84 7 | 99.88 12 | 99.96 5 | 99.89 6 | 99.87 5 | 99.81 56 | 99.85 19 | 99.96 8 | 99.90 23 | 99.27 42 | 99.95 40 | 99.93 1 | 100.00 1 | 99.82 23 |
|
PS-MVSNAJss | | | 99.84 9 | 99.82 9 | 99.89 6 | 99.96 5 | 99.77 37 | 99.68 41 | 99.85 29 | 99.95 3 | 99.98 3 | 99.92 17 | 99.28 39 | 99.98 7 | 99.75 31 | 100.00 1 | 99.94 2 |
|
test_djsdf | | | 99.84 9 | 99.81 10 | 99.91 2 | 99.94 15 | 99.84 18 | 99.77 13 | 99.80 60 | 99.73 42 | 99.97 6 | 99.92 17 | 99.77 9 | 99.98 7 | 99.43 53 | 100.00 1 | 99.90 5 |
|
Anonymous20231211 | | | 99.83 11 | 99.81 10 | 99.89 6 | 99.97 4 | 99.95 2 | 99.88 4 | 99.93 6 | 99.87 13 | 99.94 20 | 99.98 8 | 99.55 21 | 99.95 40 | 99.21 80 | 99.98 35 | 99.78 31 |
|
v7n | | | 99.82 12 | 99.80 12 | 99.88 12 | 99.96 5 | 99.84 18 | 99.82 10 | 99.82 48 | 99.84 23 | 99.94 20 | 99.91 20 | 99.13 57 | 99.96 33 | 99.83 20 | 99.99 20 | 99.83 18 |
|
anonymousdsp | | | 99.80 13 | 99.77 14 | 99.90 4 | 99.96 5 | 99.88 8 | 99.73 21 | 99.85 29 | 99.70 48 | 99.92 31 | 99.93 14 | 99.45 23 | 99.97 16 | 99.36 61 | 100.00 1 | 99.85 14 |
|
pm-mvs1 | | | 99.79 14 | 99.79 13 | 99.78 37 | 99.91 21 | 99.83 22 | 99.76 16 | 99.87 20 | 99.73 42 | 99.89 37 | 99.87 37 | 99.63 15 | 99.87 148 | 99.54 44 | 99.92 86 | 99.63 97 |
|
UA-Net | | | 99.78 15 | 99.76 18 | 99.86 18 | 99.72 123 | 99.71 50 | 99.91 3 | 99.95 5 | 99.96 2 | 99.71 105 | 99.91 20 | 99.15 53 | 99.97 16 | 99.50 48 | 100.00 1 | 99.90 5 |
|
TransMVSNet (Re) | | | 99.78 15 | 99.77 14 | 99.81 27 | 99.91 21 | 99.85 13 | 99.75 17 | 99.86 22 | 99.70 48 | 99.91 33 | 99.89 31 | 99.60 19 | 99.87 148 | 99.59 39 | 99.74 188 | 99.71 49 |
|
v748 | | | 99.76 17 | 99.74 21 | 99.84 21 | 99.95 13 | 99.83 22 | 99.82 10 | 99.80 60 | 99.82 27 | 99.95 16 | 99.87 37 | 98.72 110 | 99.93 64 | 99.72 34 | 99.98 35 | 99.75 40 |
|
v13 | | | 99.76 17 | 99.77 14 | 99.73 61 | 99.86 34 | 99.55 92 | 99.77 13 | 99.86 22 | 99.79 33 | 99.96 8 | 99.91 20 | 98.90 83 | 99.87 148 | 99.91 5 | 100.00 1 | 99.78 31 |
|
v12 | | | 99.75 19 | 99.77 14 | 99.72 66 | 99.85 38 | 99.53 95 | 99.75 17 | 99.86 22 | 99.78 34 | 99.96 8 | 99.90 23 | 98.88 86 | 99.86 167 | 99.91 5 | 100.00 1 | 99.77 34 |
|
v11 | | | 99.75 19 | 99.76 18 | 99.71 70 | 99.85 38 | 99.49 98 | 99.73 21 | 99.84 37 | 99.75 39 | 99.95 16 | 99.90 23 | 98.93 79 | 99.86 167 | 99.92 3 | 100.00 1 | 99.77 34 |
|
OurMVSNet-221017-0 | | | 99.75 19 | 99.71 25 | 99.84 21 | 99.96 5 | 99.83 22 | 99.83 8 | 99.85 29 | 99.80 31 | 99.93 26 | 99.93 14 | 98.54 138 | 99.93 64 | 99.59 39 | 99.98 35 | 99.76 37 |
|
Vis-MVSNet | | | 99.75 19 | 99.74 21 | 99.79 34 | 99.88 28 | 99.66 67 | 99.69 38 | 99.92 7 | 99.67 57 | 99.77 85 | 99.75 92 | 99.61 17 | 99.98 7 | 99.35 62 | 99.98 35 | 99.72 46 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
V9 | | | 99.74 23 | 99.75 20 | 99.71 70 | 99.84 41 | 99.50 96 | 99.74 19 | 99.86 22 | 99.76 38 | 99.96 8 | 99.90 23 | 98.83 88 | 99.85 183 | 99.91 5 | 100.00 1 | 99.77 34 |
|
V14 | | | 99.73 24 | 99.74 21 | 99.69 77 | 99.83 45 | 99.48 101 | 99.72 25 | 99.85 29 | 99.74 40 | 99.96 8 | 99.89 31 | 98.79 96 | 99.85 183 | 99.91 5 | 100.00 1 | 99.76 37 |
|
v15 | | | 99.72 25 | 99.73 24 | 99.68 80 | 99.82 52 | 99.44 113 | 99.70 29 | 99.85 29 | 99.72 45 | 99.95 16 | 99.88 34 | 98.76 103 | 99.84 199 | 99.90 9 | 100.00 1 | 99.75 40 |
|
TDRefinement | | | 99.72 25 | 99.70 28 | 99.77 39 | 99.90 25 | 99.85 13 | 99.86 7 | 99.92 7 | 99.69 52 | 99.78 81 | 99.92 17 | 99.37 30 | 99.88 136 | 98.93 121 | 99.95 64 | 99.60 121 |
|
XXY-MVS | | | 99.71 27 | 99.67 32 | 99.81 27 | 99.89 27 | 99.72 49 | 99.59 65 | 99.82 48 | 99.39 111 | 99.82 64 | 99.84 50 | 99.38 28 | 99.91 91 | 99.38 58 | 99.93 83 | 99.80 25 |
|
nrg030 | | | 99.70 28 | 99.66 33 | 99.82 25 | 99.76 102 | 99.84 18 | 99.61 60 | 99.70 105 | 99.93 4 | 99.78 81 | 99.68 135 | 99.10 59 | 99.78 253 | 99.45 51 | 99.96 57 | 99.83 18 |
|
FC-MVSNet-test | | | 99.70 28 | 99.65 34 | 99.86 18 | 99.88 28 | 99.86 12 | 99.72 25 | 99.78 70 | 99.90 6 | 99.82 64 | 99.83 51 | 98.45 151 | 99.87 148 | 99.51 47 | 99.97 46 | 99.86 12 |
|
v17 | | | 99.70 28 | 99.71 25 | 99.67 83 | 99.81 60 | 99.44 113 | 99.70 29 | 99.83 40 | 99.69 52 | 99.94 20 | 99.87 37 | 98.70 111 | 99.84 199 | 99.88 14 | 99.99 20 | 99.73 43 |
|
v16 | | | 99.70 28 | 99.71 25 | 99.67 83 | 99.81 60 | 99.43 119 | 99.70 29 | 99.83 40 | 99.70 48 | 99.94 20 | 99.87 37 | 98.69 113 | 99.84 199 | 99.88 14 | 99.99 20 | 99.73 43 |
|
v10 | | | 99.69 32 | 99.69 29 | 99.66 91 | 99.81 60 | 99.39 131 | 99.66 49 | 99.75 83 | 99.60 79 | 99.92 31 | 99.87 37 | 98.75 106 | 99.86 167 | 99.90 9 | 99.99 20 | 99.73 43 |
|
v18 | | | 99.68 33 | 99.69 29 | 99.65 95 | 99.79 81 | 99.40 128 | 99.68 41 | 99.83 40 | 99.66 61 | 99.93 26 | 99.85 45 | 98.65 122 | 99.84 199 | 99.87 18 | 99.99 20 | 99.71 49 |
|
v8 | | | 99.68 33 | 99.69 29 | 99.65 95 | 99.80 68 | 99.40 128 | 99.66 49 | 99.76 78 | 99.64 66 | 99.93 26 | 99.85 45 | 98.66 120 | 99.84 199 | 99.88 14 | 99.99 20 | 99.71 49 |
|
DTE-MVSNet | | | 99.68 33 | 99.61 41 | 99.88 12 | 99.80 68 | 99.87 9 | 99.67 46 | 99.71 102 | 99.72 45 | 99.84 59 | 99.78 79 | 98.67 118 | 99.97 16 | 99.30 70 | 99.95 64 | 99.80 25 |
|
VPA-MVSNet | | | 99.66 36 | 99.62 38 | 99.79 34 | 99.68 138 | 99.75 43 | 99.62 56 | 99.69 111 | 99.85 19 | 99.80 73 | 99.81 61 | 98.81 89 | 99.91 91 | 99.47 50 | 99.88 111 | 99.70 53 |
|
PS-CasMVS | | | 99.66 36 | 99.58 45 | 99.89 6 | 99.80 68 | 99.85 13 | 99.66 49 | 99.73 91 | 99.62 70 | 99.84 59 | 99.71 111 | 98.62 126 | 99.96 33 | 99.30 70 | 99.96 57 | 99.86 12 |
|
PEN-MVS | | | 99.66 36 | 99.59 43 | 99.89 6 | 99.83 45 | 99.87 9 | 99.66 49 | 99.73 91 | 99.70 48 | 99.84 59 | 99.73 98 | 98.56 132 | 99.96 33 | 99.29 73 | 99.94 75 | 99.83 18 |
|
FMVSNet1 | | | 99.66 36 | 99.63 37 | 99.73 61 | 99.78 87 | 99.77 37 | 99.68 41 | 99.70 105 | 99.67 57 | 99.82 64 | 99.83 51 | 98.98 73 | 99.90 108 | 99.24 77 | 99.97 46 | 99.53 154 |
|
MIMVSNet1 | | | 99.66 36 | 99.62 38 | 99.80 29 | 99.94 15 | 99.87 9 | 99.69 38 | 99.77 72 | 99.78 34 | 99.93 26 | 99.89 31 | 97.94 186 | 99.92 81 | 99.65 35 | 99.98 35 | 99.62 110 |
|
FIs | | | 99.65 41 | 99.58 45 | 99.84 21 | 99.84 41 | 99.85 13 | 99.66 49 | 99.75 83 | 99.86 16 | 99.74 97 | 99.79 70 | 98.27 164 | 99.85 183 | 99.37 60 | 99.93 83 | 99.83 18 |
|
wuykxyi23d | | | 99.65 41 | 99.64 36 | 99.69 77 | 99.92 19 | 99.20 182 | 98.89 193 | 99.99 2 | 98.73 186 | 99.95 16 | 99.80 63 | 99.84 4 | 99.99 4 | 99.64 37 | 99.98 35 | 99.89 9 |
|
DeepC-MVS | | 98.90 4 | 99.62 43 | 99.61 41 | 99.67 83 | 99.72 123 | 99.44 113 | 99.24 128 | 99.71 102 | 99.27 123 | 99.93 26 | 99.90 23 | 99.70 12 | 99.93 64 | 98.99 108 | 99.99 20 | 99.64 93 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
WR-MVS_H | | | 99.61 44 | 99.53 61 | 99.87 16 | 99.80 68 | 99.83 22 | 99.67 46 | 99.75 83 | 99.58 83 | 99.85 56 | 99.69 124 | 98.18 173 | 99.94 53 | 99.28 75 | 99.95 64 | 99.83 18 |
|
ACMH | | 98.42 6 | 99.59 45 | 99.54 53 | 99.72 66 | 99.86 34 | 99.62 79 | 99.56 69 | 99.79 68 | 98.77 182 | 99.80 73 | 99.85 45 | 99.64 14 | 99.85 183 | 98.70 137 | 99.89 105 | 99.70 53 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
testing_2 | | | 99.58 46 | 99.56 51 | 99.62 114 | 99.81 60 | 99.44 113 | 99.14 155 | 99.43 221 | 99.69 52 | 99.82 64 | 99.79 70 | 99.14 54 | 99.79 249 | 99.31 69 | 99.95 64 | 99.63 97 |
|
v1192 | | | 99.57 47 | 99.57 48 | 99.57 134 | 99.77 97 | 99.22 176 | 99.04 173 | 99.60 159 | 99.18 139 | 99.87 50 | 99.72 104 | 99.08 64 | 99.85 183 | 99.89 13 | 99.98 35 | 99.66 79 |
|
EG-PatchMatch MVS | | | 99.57 47 | 99.56 51 | 99.62 114 | 99.77 97 | 99.33 150 | 99.26 122 | 99.76 78 | 99.32 119 | 99.80 73 | 99.78 79 | 99.29 37 | 99.87 148 | 99.15 92 | 99.91 96 | 99.66 79 |
|
Gipuma | | | 99.57 47 | 99.59 43 | 99.49 157 | 99.98 3 | 99.71 50 | 99.72 25 | 99.84 37 | 99.81 28 | 99.94 20 | 99.78 79 | 98.91 82 | 99.71 277 | 98.41 151 | 99.95 64 | 99.05 268 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
v1921920 | | | 99.56 50 | 99.57 48 | 99.55 143 | 99.75 110 | 99.11 191 | 99.05 171 | 99.61 145 | 99.15 146 | 99.88 45 | 99.71 111 | 99.08 64 | 99.87 148 | 99.90 9 | 99.97 46 | 99.66 79 |
|
v1240 | | | 99.56 50 | 99.58 45 | 99.51 153 | 99.80 68 | 99.00 202 | 99.00 180 | 99.65 130 | 99.15 146 | 99.90 35 | 99.75 92 | 99.09 61 | 99.88 136 | 99.90 9 | 99.96 57 | 99.67 69 |
|
v7 | | | 99.56 50 | 99.54 53 | 99.61 117 | 99.80 68 | 99.39 131 | 99.30 109 | 99.59 163 | 99.14 148 | 99.82 64 | 99.72 104 | 98.75 106 | 99.84 199 | 99.83 20 | 99.94 75 | 99.61 115 |
|
V42 | | | 99.56 50 | 99.54 53 | 99.63 106 | 99.79 81 | 99.46 106 | 99.39 84 | 99.59 163 | 99.24 131 | 99.86 55 | 99.70 118 | 98.55 136 | 99.82 222 | 99.79 26 | 99.95 64 | 99.60 121 |
|
v144192 | | | 99.55 54 | 99.54 53 | 99.58 128 | 99.78 87 | 99.20 182 | 99.11 162 | 99.62 141 | 99.18 139 | 99.89 37 | 99.72 104 | 98.66 120 | 99.87 148 | 99.88 14 | 99.97 46 | 99.66 79 |
|
v1neww | | | 99.55 54 | 99.54 53 | 99.61 117 | 99.80 68 | 99.39 131 | 99.32 99 | 99.61 145 | 99.18 139 | 99.87 50 | 99.69 124 | 98.64 124 | 99.82 222 | 99.79 26 | 99.94 75 | 99.60 121 |
|
v7new | | | 99.55 54 | 99.54 53 | 99.61 117 | 99.80 68 | 99.39 131 | 99.32 99 | 99.61 145 | 99.18 139 | 99.87 50 | 99.69 124 | 98.64 124 | 99.82 222 | 99.79 26 | 99.94 75 | 99.60 121 |
|
v6 | | | 99.55 54 | 99.54 53 | 99.61 117 | 99.80 68 | 99.39 131 | 99.32 99 | 99.60 159 | 99.18 139 | 99.87 50 | 99.68 135 | 98.65 122 | 99.82 222 | 99.79 26 | 99.95 64 | 99.61 115 |
|
test20.03 | | | 99.55 54 | 99.54 53 | 99.58 128 | 99.79 81 | 99.37 140 | 99.02 176 | 99.89 15 | 99.60 79 | 99.82 64 | 99.62 165 | 98.81 89 | 99.89 121 | 99.43 53 | 99.86 126 | 99.47 182 |
|
v1144 | | | 99.54 59 | 99.53 61 | 99.59 124 | 99.79 81 | 99.28 159 | 99.10 163 | 99.61 145 | 99.20 137 | 99.84 59 | 99.73 98 | 98.67 118 | 99.84 199 | 99.86 19 | 99.98 35 | 99.64 93 |
|
v1141 | | | 99.54 59 | 99.52 63 | 99.57 134 | 99.78 87 | 99.27 163 | 99.15 150 | 99.61 145 | 99.26 127 | 99.89 37 | 99.69 124 | 98.56 132 | 99.82 222 | 99.82 23 | 99.97 46 | 99.63 97 |
|
divwei89l23v2f112 | | | 99.54 59 | 99.52 63 | 99.57 134 | 99.78 87 | 99.27 163 | 99.15 150 | 99.61 145 | 99.26 127 | 99.89 37 | 99.69 124 | 98.56 132 | 99.82 222 | 99.82 23 | 99.96 57 | 99.63 97 |
|
v1 | | | 99.54 59 | 99.52 63 | 99.58 128 | 99.77 97 | 99.28 159 | 99.15 150 | 99.61 145 | 99.26 127 | 99.88 45 | 99.68 135 | 98.56 132 | 99.82 222 | 99.82 23 | 99.97 46 | 99.63 97 |
|
CP-MVSNet | | | 99.54 59 | 99.43 78 | 99.87 16 | 99.76 102 | 99.82 27 | 99.57 67 | 99.61 145 | 99.54 85 | 99.80 73 | 99.64 151 | 97.79 198 | 99.95 40 | 99.21 80 | 99.94 75 | 99.84 15 |
|
TranMVSNet+NR-MVSNet | | | 99.54 59 | 99.47 69 | 99.76 42 | 99.58 155 | 99.64 73 | 99.30 109 | 99.63 138 | 99.61 74 | 99.71 105 | 99.56 193 | 98.76 103 | 99.96 33 | 99.14 98 | 99.92 86 | 99.68 62 |
|
testmv | | | 99.53 65 | 99.51 66 | 99.59 124 | 99.73 119 | 99.31 153 | 98.48 237 | 99.92 7 | 99.57 84 | 99.87 50 | 99.79 70 | 99.12 58 | 99.91 91 | 99.16 91 | 99.99 20 | 99.55 144 |
|
v2v482 | | | 99.50 66 | 99.47 69 | 99.58 128 | 99.78 87 | 99.25 169 | 99.14 155 | 99.58 171 | 99.25 130 | 99.81 70 | 99.62 165 | 98.24 166 | 99.84 199 | 99.83 20 | 99.97 46 | 99.64 93 |
|
ACMH+ | | 98.40 8 | 99.50 66 | 99.43 78 | 99.71 70 | 99.86 34 | 99.76 41 | 99.32 99 | 99.77 72 | 99.53 88 | 99.77 85 | 99.76 88 | 99.26 45 | 99.78 253 | 97.77 194 | 99.88 111 | 99.60 121 |
|
Baseline_NR-MVSNet | | | 99.49 68 | 99.37 86 | 99.82 25 | 99.91 21 | 99.84 18 | 98.83 204 | 99.86 22 | 99.68 55 | 99.65 124 | 99.88 34 | 97.67 207 | 99.87 148 | 99.03 105 | 99.86 126 | 99.76 37 |
|
TAMVS | | | 99.49 68 | 99.45 73 | 99.63 106 | 99.48 201 | 99.42 123 | 99.45 78 | 99.57 172 | 99.66 61 | 99.78 81 | 99.83 51 | 97.85 194 | 99.86 167 | 99.44 52 | 99.96 57 | 99.61 115 |
|
pmmvs-eth3d | | | 99.48 70 | 99.47 69 | 99.51 153 | 99.77 97 | 99.41 127 | 98.81 208 | 99.66 121 | 99.42 108 | 99.75 89 | 99.66 145 | 99.20 48 | 99.76 261 | 98.98 110 | 99.99 20 | 99.36 216 |
|
EI-MVSNet-UG-set | | | 99.48 70 | 99.50 67 | 99.42 176 | 99.57 162 | 98.65 233 | 99.24 128 | 99.46 213 | 99.68 55 | 99.80 73 | 99.66 145 | 98.99 72 | 99.89 121 | 99.19 84 | 99.90 99 | 99.72 46 |
|
APDe-MVS | | | 99.48 70 | 99.36 89 | 99.85 20 | 99.55 175 | 99.81 28 | 99.50 73 | 99.69 111 | 98.99 157 | 99.75 89 | 99.71 111 | 98.79 96 | 99.93 64 | 98.46 149 | 99.85 129 | 99.80 25 |
|
PMMVS2 | | | 99.48 70 | 99.45 73 | 99.57 134 | 99.76 102 | 98.99 203 | 98.09 271 | 99.90 14 | 98.95 160 | 99.78 81 | 99.58 183 | 99.57 20 | 99.93 64 | 99.48 49 | 99.95 64 | 99.79 30 |
|
DSMNet-mixed | | | 99.48 70 | 99.65 34 | 98.95 244 | 99.71 126 | 97.27 282 | 99.50 73 | 99.82 48 | 99.59 81 | 99.41 184 | 99.85 45 | 99.62 16 | 100.00 1 | 99.53 46 | 99.89 105 | 99.59 132 |
|
DP-MVS | | | 99.48 70 | 99.39 82 | 99.74 55 | 99.57 162 | 99.62 79 | 99.29 117 | 99.61 145 | 99.87 13 | 99.74 97 | 99.76 88 | 98.69 113 | 99.87 148 | 98.20 167 | 99.80 165 | 99.75 40 |
|
EI-MVSNet-Vis-set | | | 99.47 76 | 99.49 68 | 99.42 176 | 99.57 162 | 98.66 231 | 99.24 128 | 99.46 213 | 99.67 57 | 99.79 78 | 99.65 150 | 98.97 75 | 99.89 121 | 99.15 92 | 99.89 105 | 99.71 49 |
|
VPNet | | | 99.46 77 | 99.37 86 | 99.71 70 | 99.82 52 | 99.59 84 | 99.48 77 | 99.70 105 | 99.81 28 | 99.69 109 | 99.58 183 | 97.66 211 | 99.86 167 | 99.17 88 | 99.44 246 | 99.67 69 |
|
ACMM | | 98.09 11 | 99.46 77 | 99.38 84 | 99.72 66 | 99.80 68 | 99.69 61 | 99.13 160 | 99.65 130 | 98.99 157 | 99.64 126 | 99.72 104 | 99.39 24 | 99.86 167 | 98.23 164 | 99.81 160 | 99.60 121 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
Regformer-4 | | | 99.45 79 | 99.44 75 | 99.50 155 | 99.52 181 | 98.94 209 | 99.17 142 | 99.53 188 | 99.64 66 | 99.76 88 | 99.60 175 | 98.96 78 | 99.90 108 | 98.91 122 | 99.84 133 | 99.67 69 |
|
COLMAP_ROB | | 98.06 12 | 99.45 79 | 99.37 86 | 99.70 76 | 99.83 45 | 99.70 57 | 99.38 86 | 99.78 70 | 99.53 88 | 99.67 114 | 99.78 79 | 99.19 49 | 99.86 167 | 97.32 221 | 99.87 118 | 99.55 144 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
HPM-MVS_fast | | | 99.43 81 | 99.30 100 | 99.80 29 | 99.83 45 | 99.81 28 | 99.52 71 | 99.70 105 | 98.35 218 | 99.51 165 | 99.50 210 | 99.31 35 | 99.88 136 | 98.18 171 | 99.84 133 | 99.69 56 |
|
3Dnovator | | 99.15 2 | 99.43 81 | 99.36 89 | 99.65 95 | 99.39 223 | 99.42 123 | 99.70 29 | 99.56 176 | 99.23 133 | 99.35 194 | 99.80 63 | 99.17 51 | 99.95 40 | 98.21 166 | 99.84 133 | 99.59 132 |
|
SixPastTwentyTwo | | | 99.42 83 | 99.30 100 | 99.76 42 | 99.92 19 | 99.67 66 | 99.70 29 | 99.14 274 | 99.65 64 | 99.89 37 | 99.90 23 | 96.20 256 | 99.94 53 | 99.42 57 | 99.92 86 | 99.67 69 |
|
GBi-Net | | | 99.42 83 | 99.31 95 | 99.73 61 | 99.49 195 | 99.77 37 | 99.68 41 | 99.70 105 | 99.44 100 | 99.62 136 | 99.83 51 | 97.21 230 | 99.90 108 | 98.96 115 | 99.90 99 | 99.53 154 |
|
test1 | | | 99.42 83 | 99.31 95 | 99.73 61 | 99.49 195 | 99.77 37 | 99.68 41 | 99.70 105 | 99.44 100 | 99.62 136 | 99.83 51 | 97.21 230 | 99.90 108 | 98.96 115 | 99.90 99 | 99.53 154 |
|
Regformer-3 | | | 99.41 86 | 99.41 80 | 99.40 184 | 99.52 181 | 98.70 228 | 99.17 142 | 99.44 218 | 99.62 70 | 99.75 89 | 99.60 175 | 98.90 83 | 99.85 183 | 98.89 123 | 99.84 133 | 99.65 87 |
|
MVSFormer | | | 99.41 86 | 99.44 75 | 99.31 205 | 99.57 162 | 98.40 242 | 99.77 13 | 99.80 60 | 99.73 42 | 99.63 129 | 99.30 251 | 98.02 181 | 99.98 7 | 99.43 53 | 99.69 203 | 99.55 144 |
|
IterMVS-LS | | | 99.41 86 | 99.47 69 | 99.25 217 | 99.81 60 | 98.09 260 | 98.85 201 | 99.76 78 | 99.62 70 | 99.83 63 | 99.64 151 | 98.54 138 | 99.97 16 | 99.15 92 | 99.99 20 | 99.68 62 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
v148 | | | 99.40 89 | 99.41 80 | 99.39 187 | 99.76 102 | 98.94 209 | 99.09 167 | 99.59 163 | 99.17 144 | 99.81 70 | 99.61 172 | 98.41 154 | 99.69 284 | 99.32 67 | 99.94 75 | 99.53 154 |
|
NR-MVSNet | | | 99.40 89 | 99.31 95 | 99.68 80 | 99.43 215 | 99.55 92 | 99.73 21 | 99.50 201 | 99.46 98 | 99.88 45 | 99.36 238 | 97.54 213 | 99.87 148 | 98.97 114 | 99.87 118 | 99.63 97 |
|
PVSNet_Blended_VisFu | | | 99.40 89 | 99.38 84 | 99.44 171 | 99.90 25 | 98.66 231 | 98.94 191 | 99.91 11 | 97.97 239 | 99.79 78 | 99.73 98 | 99.05 69 | 99.97 16 | 99.15 92 | 99.99 20 | 99.68 62 |
|
EU-MVSNet | | | 99.39 92 | 99.62 38 | 98.72 266 | 99.88 28 | 96.44 294 | 99.56 69 | 99.85 29 | 99.90 6 | 99.90 35 | 99.85 45 | 98.09 175 | 99.83 215 | 99.58 41 | 99.95 64 | 99.90 5 |
|
CHOSEN 1792x2688 | | | 99.39 92 | 99.30 100 | 99.65 95 | 99.88 28 | 99.25 169 | 98.78 213 | 99.88 18 | 98.66 190 | 99.96 8 | 99.79 70 | 97.45 217 | 99.93 64 | 99.34 63 | 99.99 20 | 99.78 31 |
|
EI-MVSNet | | | 99.38 94 | 99.44 75 | 99.21 223 | 99.58 155 | 98.09 260 | 99.26 122 | 99.46 213 | 99.62 70 | 99.75 89 | 99.67 141 | 98.54 138 | 99.85 183 | 99.15 92 | 99.92 86 | 99.68 62 |
|
UGNet | | | 99.38 94 | 99.34 91 | 99.49 157 | 98.90 288 | 98.90 216 | 99.70 29 | 99.35 241 | 99.86 16 | 98.57 274 | 99.81 61 | 98.50 147 | 99.93 64 | 99.38 58 | 99.98 35 | 99.66 79 |
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 |
UniMVSNet_NR-MVSNet | | | 99.37 96 | 99.25 113 | 99.72 66 | 99.47 205 | 99.56 89 | 98.97 186 | 99.61 145 | 99.43 105 | 99.67 114 | 99.28 254 | 97.85 194 | 99.95 40 | 99.17 88 | 99.81 160 | 99.65 87 |
|
UniMVSNet (Re) | | | 99.37 96 | 99.26 111 | 99.68 80 | 99.51 185 | 99.58 86 | 98.98 185 | 99.60 159 | 99.43 105 | 99.70 107 | 99.36 238 | 97.70 202 | 99.88 136 | 99.20 83 | 99.87 118 | 99.59 132 |
|
CSCG | | | 99.37 96 | 99.29 105 | 99.60 123 | 99.71 126 | 99.46 106 | 99.43 81 | 99.85 29 | 98.79 179 | 99.41 184 | 99.60 175 | 98.92 80 | 99.92 81 | 98.02 180 | 99.92 86 | 99.43 199 |
|
PM-MVS | | | 99.36 99 | 99.29 105 | 99.58 128 | 99.83 45 | 99.66 67 | 98.95 188 | 99.86 22 | 98.85 171 | 99.81 70 | 99.73 98 | 98.40 156 | 99.92 81 | 98.36 154 | 99.83 143 | 99.17 243 |
|
abl_6 | | | 99.36 99 | 99.23 116 | 99.75 51 | 99.71 126 | 99.74 47 | 99.33 96 | 99.76 78 | 99.07 153 | 99.65 124 | 99.63 158 | 99.09 61 | 99.92 81 | 97.13 234 | 99.76 178 | 99.58 136 |
|
new-patchmatchnet | | | 99.35 101 | 99.57 48 | 98.71 267 | 99.82 52 | 96.62 292 | 98.55 229 | 99.75 83 | 99.50 90 | 99.88 45 | 99.87 37 | 99.31 35 | 99.88 136 | 99.43 53 | 100.00 1 | 99.62 110 |
|
Anonymous20231206 | | | 99.35 101 | 99.31 95 | 99.47 162 | 99.74 116 | 99.06 201 | 99.28 118 | 99.74 88 | 99.23 133 | 99.72 101 | 99.53 202 | 97.63 212 | 99.88 136 | 99.11 101 | 99.84 133 | 99.48 178 |
|
MTAPA | | | 99.35 101 | 99.20 119 | 99.80 29 | 99.81 60 | 99.81 28 | 99.33 96 | 99.53 188 | 99.27 123 | 99.42 178 | 99.63 158 | 98.21 169 | 99.95 40 | 97.83 191 | 99.79 168 | 99.65 87 |
|
FMVSNet2 | | | 99.35 101 | 99.28 107 | 99.55 143 | 99.49 195 | 99.35 147 | 99.45 78 | 99.57 172 | 99.44 100 | 99.70 107 | 99.74 94 | 97.21 230 | 99.87 148 | 99.03 105 | 99.94 75 | 99.44 193 |
|
3Dnovator+ | | 98.92 3 | 99.35 101 | 99.24 114 | 99.67 83 | 99.35 231 | 99.47 102 | 99.62 56 | 99.50 201 | 99.44 100 | 99.12 229 | 99.78 79 | 98.77 102 | 99.94 53 | 97.87 188 | 99.72 199 | 99.62 110 |
|
TSAR-MVS + MP. | | | 99.34 106 | 99.24 114 | 99.63 106 | 99.82 52 | 99.37 140 | 99.26 122 | 99.35 241 | 98.77 182 | 99.57 147 | 99.70 118 | 99.27 42 | 99.88 136 | 97.71 197 | 99.75 181 | 99.65 87 |
|
Regformer-2 | | | 99.34 106 | 99.27 109 | 99.53 148 | 99.41 219 | 99.10 194 | 98.99 181 | 99.53 188 | 99.47 95 | 99.66 118 | 99.52 204 | 98.80 93 | 99.89 121 | 98.31 159 | 99.74 188 | 99.60 121 |
|
DELS-MVS | | | 99.34 106 | 99.30 100 | 99.48 160 | 99.51 185 | 99.36 143 | 98.12 267 | 99.53 188 | 99.36 115 | 99.41 184 | 99.61 172 | 99.22 47 | 99.87 148 | 99.21 80 | 99.68 205 | 99.20 237 |
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 |
DU-MVS | | | 99.33 109 | 99.21 118 | 99.71 70 | 99.43 215 | 99.56 89 | 98.83 204 | 99.53 188 | 99.38 112 | 99.67 114 | 99.36 238 | 97.67 207 | 99.95 40 | 99.17 88 | 99.81 160 | 99.63 97 |
|
ab-mvs | | | 99.33 109 | 99.28 107 | 99.47 162 | 99.57 162 | 99.39 131 | 99.78 12 | 99.43 221 | 98.87 169 | 99.57 147 | 99.82 58 | 98.06 178 | 99.87 148 | 98.69 138 | 99.73 194 | 99.15 245 |
|
Regformer-1 | | | 99.32 111 | 99.27 109 | 99.47 162 | 99.41 219 | 98.95 208 | 98.99 181 | 99.48 206 | 99.48 92 | 99.66 118 | 99.52 204 | 98.78 99 | 99.87 148 | 98.36 154 | 99.74 188 | 99.60 121 |
|
APD-MVS_3200maxsize | | | 99.31 112 | 99.16 120 | 99.74 55 | 99.53 179 | 99.75 43 | 99.27 121 | 99.61 145 | 99.19 138 | 99.57 147 | 99.64 151 | 98.76 103 | 99.90 108 | 97.29 223 | 99.62 217 | 99.56 141 |
|
MPTG | | | 99.30 113 | 99.14 123 | 99.80 29 | 99.81 60 | 99.81 28 | 98.73 216 | 99.53 188 | 99.27 123 | 99.42 178 | 99.63 158 | 98.21 169 | 99.95 40 | 97.83 191 | 99.79 168 | 99.65 87 |
|
SteuartSystems-ACMMP | | | 99.30 113 | 99.14 123 | 99.76 42 | 99.87 32 | 99.66 67 | 99.18 139 | 99.60 159 | 98.55 199 | 99.57 147 | 99.67 141 | 99.03 71 | 99.94 53 | 97.01 238 | 99.80 165 | 99.69 56 |
Skip Steuart: Steuart Systems R&D Blog. |
testgi | | | 99.29 115 | 99.26 111 | 99.37 192 | 99.75 110 | 98.81 224 | 98.84 202 | 99.89 15 | 98.38 211 | 99.75 89 | 99.04 287 | 99.36 33 | 99.86 167 | 99.08 103 | 99.25 273 | 99.45 188 |
|
ACMMP_Plus | | | 99.28 116 | 99.11 131 | 99.79 34 | 99.75 110 | 99.81 28 | 98.95 188 | 99.53 188 | 98.27 227 | 99.53 161 | 99.73 98 | 98.75 106 | 99.87 148 | 97.70 198 | 99.83 143 | 99.68 62 |
|
LCM-MVSNet-Re | | | 99.28 116 | 99.15 122 | 99.67 83 | 99.33 245 | 99.76 41 | 99.34 94 | 99.97 3 | 98.93 163 | 99.91 33 | 99.79 70 | 98.68 115 | 99.93 64 | 96.80 248 | 99.56 225 | 99.30 225 |
|
mvs_anonymous | | | 99.28 116 | 99.39 82 | 98.94 245 | 99.19 266 | 97.81 271 | 99.02 176 | 99.55 179 | 99.78 34 | 99.85 56 | 99.80 63 | 98.24 166 | 99.86 167 | 99.57 42 | 99.50 239 | 99.15 245 |
|
MVS_Test | | | 99.28 116 | 99.31 95 | 99.19 226 | 99.35 231 | 98.79 226 | 99.36 92 | 99.49 205 | 99.17 144 | 99.21 217 | 99.67 141 | 98.78 99 | 99.66 298 | 99.09 102 | 99.66 212 | 99.10 255 |
|
no-one | | | 99.28 116 | 99.23 116 | 99.45 169 | 99.87 32 | 99.08 197 | 98.95 188 | 99.52 196 | 98.88 168 | 99.77 85 | 99.83 51 | 97.78 199 | 99.90 108 | 98.46 149 | 99.99 20 | 99.38 209 |
|
XVS | | | 99.27 121 | 99.11 131 | 99.75 51 | 99.71 126 | 99.71 50 | 99.37 90 | 99.61 145 | 99.29 120 | 98.76 262 | 99.47 215 | 98.47 148 | 99.88 136 | 97.62 205 | 99.73 194 | 99.67 69 |
|
OPM-MVS | | | 99.26 122 | 99.13 126 | 99.63 106 | 99.70 133 | 99.61 83 | 98.58 224 | 99.48 206 | 98.50 203 | 99.52 163 | 99.63 158 | 99.14 54 | 99.76 261 | 97.89 187 | 99.77 176 | 99.51 165 |
|
HFP-MVS | | | 99.25 123 | 99.08 141 | 99.76 42 | 99.73 119 | 99.70 57 | 99.31 106 | 99.59 163 | 98.36 213 | 99.36 192 | 99.37 232 | 98.80 93 | 99.91 91 | 97.43 216 | 99.75 181 | 99.68 62 |
|
HPM-MVS | | | 99.25 123 | 99.07 145 | 99.78 37 | 99.81 60 | 99.75 43 | 99.61 60 | 99.67 117 | 97.72 252 | 99.35 194 | 99.25 260 | 99.23 46 | 99.92 81 | 97.21 230 | 99.82 152 | 99.67 69 |
|
ACMMP | | | 99.25 123 | 99.08 141 | 99.74 55 | 99.79 81 | 99.68 64 | 99.50 73 | 99.65 130 | 98.07 234 | 99.52 163 | 99.69 124 | 98.57 131 | 99.92 81 | 97.18 232 | 99.79 168 | 99.63 97 |
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 |
LS3D | | | 99.24 126 | 99.11 131 | 99.61 117 | 98.38 317 | 99.79 33 | 99.57 67 | 99.68 114 | 99.61 74 | 99.15 226 | 99.71 111 | 98.70 111 | 99.91 91 | 97.54 210 | 99.68 205 | 99.13 249 |
|
xiu_mvs_v1_base_debu | | | 99.23 127 | 99.34 91 | 98.91 248 | 99.59 152 | 98.23 250 | 98.47 238 | 99.66 121 | 99.61 74 | 99.68 111 | 98.94 299 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 231 | 98.51 298 |
|
xiu_mvs_v1_base | | | 99.23 127 | 99.34 91 | 98.91 248 | 99.59 152 | 98.23 250 | 98.47 238 | 99.66 121 | 99.61 74 | 99.68 111 | 98.94 299 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 231 | 98.51 298 |
|
xiu_mvs_v1_base_debi | | | 99.23 127 | 99.34 91 | 98.91 248 | 99.59 152 | 98.23 250 | 98.47 238 | 99.66 121 | 99.61 74 | 99.68 111 | 98.94 299 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 231 | 98.51 298 |
|
region2R | | | 99.23 127 | 99.05 151 | 99.77 39 | 99.76 102 | 99.70 57 | 99.31 106 | 99.59 163 | 98.41 208 | 99.32 201 | 99.36 238 | 98.73 109 | 99.93 64 | 97.29 223 | 99.74 188 | 99.67 69 |
|
ACMMPR | | | 99.23 127 | 99.06 147 | 99.76 42 | 99.74 116 | 99.69 61 | 99.31 106 | 99.59 163 | 98.36 213 | 99.35 194 | 99.38 231 | 98.61 128 | 99.93 64 | 97.43 216 | 99.75 181 | 99.67 69 |
|
XVG-ACMP-BASELINE | | | 99.23 127 | 99.10 138 | 99.63 106 | 99.82 52 | 99.58 86 | 98.83 204 | 99.72 99 | 98.36 213 | 99.60 143 | 99.71 111 | 98.92 80 | 99.91 91 | 97.08 235 | 99.84 133 | 99.40 204 |
|
CP-MVS | | | 99.23 127 | 99.05 151 | 99.75 51 | 99.66 142 | 99.66 67 | 99.38 86 | 99.62 141 | 98.38 211 | 99.06 236 | 99.27 256 | 98.79 96 | 99.94 53 | 97.51 212 | 99.82 152 | 99.66 79 |
|
DeepC-MVS_fast | | 98.47 5 | 99.23 127 | 99.12 129 | 99.56 140 | 99.28 254 | 99.22 176 | 98.99 181 | 99.40 229 | 99.08 152 | 99.58 145 | 99.64 151 | 98.90 83 | 99.83 215 | 97.44 215 | 99.75 181 | 99.63 97 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
LPG-MVS_test | | | 99.22 135 | 99.05 151 | 99.74 55 | 99.82 52 | 99.63 77 | 99.16 148 | 99.73 91 | 97.56 259 | 99.64 126 | 99.69 124 | 99.37 30 | 99.89 121 | 96.66 255 | 99.87 118 | 99.69 56 |
|
CDS-MVSNet | | | 99.22 135 | 99.13 126 | 99.50 155 | 99.35 231 | 99.11 191 | 98.96 187 | 99.54 183 | 99.46 98 | 99.61 141 | 99.70 118 | 96.31 253 | 99.83 215 | 99.34 63 | 99.88 111 | 99.55 144 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
test_0402 | | | 99.22 135 | 99.14 123 | 99.45 169 | 99.79 81 | 99.43 119 | 99.28 118 | 99.68 114 | 99.54 85 | 99.40 188 | 99.56 193 | 99.07 66 | 99.82 222 | 96.01 279 | 99.96 57 | 99.11 251 |
|
AllTest | | | 99.21 138 | 99.07 145 | 99.63 106 | 99.78 87 | 99.64 73 | 99.12 161 | 99.83 40 | 98.63 193 | 99.63 129 | 99.72 104 | 98.68 115 | 99.75 267 | 96.38 266 | 99.83 143 | 99.51 165 |
|
XVG-OURS | | | 99.21 138 | 99.06 147 | 99.65 95 | 99.82 52 | 99.62 79 | 97.87 296 | 99.74 88 | 98.36 213 | 99.66 118 | 99.68 135 | 99.71 11 | 99.90 108 | 96.84 246 | 99.88 111 | 99.43 199 |
|
Fast-Effi-MVS+-dtu | | | 99.20 140 | 99.12 129 | 99.43 174 | 99.25 257 | 99.69 61 | 99.05 171 | 99.82 48 | 99.50 90 | 98.97 242 | 99.05 284 | 98.98 73 | 99.98 7 | 98.20 167 | 99.24 275 | 98.62 291 |
|
VDD-MVS | | | 99.20 140 | 99.11 131 | 99.44 171 | 99.43 215 | 98.98 204 | 99.50 73 | 98.32 310 | 99.80 31 | 99.56 154 | 99.69 124 | 96.99 239 | 99.85 183 | 98.99 108 | 99.73 194 | 99.50 171 |
|
PGM-MVS | | | 99.20 140 | 99.01 160 | 99.77 39 | 99.75 110 | 99.71 50 | 99.16 148 | 99.72 99 | 97.99 237 | 99.42 178 | 99.60 175 | 98.81 89 | 99.93 64 | 96.91 242 | 99.74 188 | 99.66 79 |
|
pmmvs5 | | | 99.19 143 | 99.11 131 | 99.42 176 | 99.76 102 | 98.88 219 | 98.55 229 | 99.73 91 | 98.82 175 | 99.72 101 | 99.62 165 | 96.56 246 | 99.82 222 | 99.32 67 | 99.95 64 | 99.56 141 |
|
mPP-MVS | | | 99.19 143 | 99.00 162 | 99.76 42 | 99.76 102 | 99.68 64 | 99.38 86 | 99.54 183 | 98.34 222 | 99.01 239 | 99.50 210 | 98.53 142 | 99.93 64 | 97.18 232 | 99.78 173 | 99.66 79 |
|
VNet | | | 99.18 145 | 99.06 147 | 99.56 140 | 99.24 259 | 99.36 143 | 99.33 96 | 99.31 250 | 99.67 57 | 99.47 170 | 99.57 190 | 96.48 248 | 99.84 199 | 99.15 92 | 99.30 267 | 99.47 182 |
|
RPSCF | | | 99.18 145 | 99.02 157 | 99.64 102 | 99.83 45 | 99.85 13 | 99.44 80 | 99.82 48 | 98.33 223 | 99.50 167 | 99.78 79 | 97.90 188 | 99.65 305 | 96.78 249 | 99.83 143 | 99.44 193 |
|
DeepPCF-MVS | | 98.42 6 | 99.18 145 | 99.02 157 | 99.67 83 | 99.22 261 | 99.75 43 | 97.25 314 | 99.47 210 | 98.72 187 | 99.66 118 | 99.70 118 | 99.29 37 | 99.63 309 | 98.07 179 | 99.81 160 | 99.62 110 |
|
EPP-MVSNet | | | 99.17 148 | 99.00 162 | 99.66 91 | 99.80 68 | 99.43 119 | 99.70 29 | 99.24 265 | 99.48 92 | 99.56 154 | 99.77 85 | 94.89 271 | 99.93 64 | 98.72 136 | 99.89 105 | 99.63 97 |
|
MVP-Stereo | | | 99.16 149 | 99.08 141 | 99.43 174 | 99.48 201 | 99.07 199 | 99.08 168 | 99.55 179 | 98.63 193 | 99.31 203 | 99.68 135 | 98.19 172 | 99.78 253 | 98.18 171 | 99.58 224 | 99.45 188 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
XVG-OURS-SEG-HR | | | 99.16 149 | 98.99 165 | 99.66 91 | 99.84 41 | 99.64 73 | 98.25 256 | 99.73 91 | 98.39 210 | 99.63 129 | 99.43 221 | 99.70 12 | 99.90 108 | 97.34 220 | 98.64 303 | 99.44 193 |
|
jason | | | 99.16 149 | 99.11 131 | 99.32 203 | 99.75 110 | 98.44 238 | 98.26 255 | 99.39 232 | 98.70 188 | 99.74 97 | 99.30 251 | 98.54 138 | 99.97 16 | 98.48 148 | 99.82 152 | 99.55 144 |
jason: jason. |
MP-MVS-pluss | | | 99.14 152 | 98.92 175 | 99.80 29 | 99.83 45 | 99.83 22 | 98.61 219 | 99.63 138 | 96.84 281 | 99.44 173 | 99.58 183 | 98.81 89 | 99.91 91 | 97.70 198 | 99.82 152 | 99.67 69 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
MVS_0305 | | | 99.13 153 | 99.10 138 | 99.22 221 | 98.89 292 | 98.44 238 | 98.59 222 | 99.57 172 | 99.43 105 | 99.19 223 | 99.22 269 | 97.88 191 | 99.94 53 | 99.14 98 | 99.96 57 | 99.26 229 |
|
pmmvs4 | | | 99.13 153 | 99.06 147 | 99.36 195 | 99.57 162 | 99.10 194 | 98.01 280 | 99.25 262 | 98.78 181 | 99.58 145 | 99.44 220 | 98.24 166 | 99.76 261 | 98.74 134 | 99.93 83 | 99.22 233 |
|
MVS_111021_LR | | | 99.13 153 | 99.03 156 | 99.42 176 | 99.58 155 | 99.32 152 | 97.91 295 | 99.73 91 | 98.68 189 | 99.31 203 | 99.48 212 | 99.09 61 | 99.66 298 | 97.70 198 | 99.77 176 | 99.29 228 |
|
#test# | | | 99.12 156 | 98.90 178 | 99.76 42 | 99.73 119 | 99.70 57 | 99.10 163 | 99.59 163 | 97.60 257 | 99.36 192 | 99.37 232 | 98.80 93 | 99.91 91 | 96.84 246 | 99.75 181 | 99.68 62 |
|
TSAR-MVS + GP. | | | 99.12 156 | 99.04 155 | 99.38 189 | 99.34 241 | 99.16 186 | 98.15 263 | 99.29 253 | 98.18 231 | 99.63 129 | 99.62 165 | 99.18 50 | 99.68 292 | 98.20 167 | 99.74 188 | 99.30 225 |
|
MVS_111021_HR | | | 99.12 156 | 99.02 157 | 99.40 184 | 99.50 190 | 99.11 191 | 97.92 293 | 99.71 102 | 98.76 184 | 99.08 232 | 99.47 215 | 99.17 51 | 99.54 317 | 97.85 190 | 99.76 178 | 99.54 151 |
|
WR-MVS | | | 99.11 159 | 98.93 172 | 99.66 91 | 99.30 251 | 99.42 123 | 98.42 245 | 99.37 238 | 99.04 154 | 99.57 147 | 99.20 271 | 96.89 241 | 99.86 167 | 98.66 141 | 99.87 118 | 99.70 53 |
|
PHI-MVS | | | 99.11 159 | 98.95 171 | 99.59 124 | 99.13 272 | 99.59 84 | 99.17 142 | 99.65 130 | 97.88 243 | 99.25 210 | 99.46 218 | 98.97 75 | 99.80 246 | 97.26 226 | 99.82 152 | 99.37 213 |
|
MSDG | | | 99.08 161 | 98.98 168 | 99.37 192 | 99.60 150 | 99.13 189 | 97.54 304 | 99.74 88 | 98.84 174 | 99.53 161 | 99.55 198 | 99.10 59 | 99.79 249 | 97.07 236 | 99.86 126 | 99.18 241 |
|
Effi-MVS+-dtu | | | 99.07 162 | 98.92 175 | 99.52 150 | 98.89 292 | 99.78 35 | 99.15 150 | 99.66 121 | 99.34 116 | 98.92 248 | 99.24 265 | 97.69 204 | 99.98 7 | 98.11 176 | 99.28 269 | 98.81 286 |
|
Effi-MVS+ | | | 99.06 163 | 98.97 169 | 99.34 197 | 99.31 247 | 98.98 204 | 98.31 253 | 99.91 11 | 98.81 176 | 98.79 259 | 98.94 299 | 99.14 54 | 99.84 199 | 98.79 129 | 98.74 299 | 99.20 237 |
|
MP-MVS | | | 99.06 163 | 98.83 188 | 99.76 42 | 99.76 102 | 99.71 50 | 99.32 99 | 99.50 201 | 98.35 218 | 98.97 242 | 99.48 212 | 98.37 157 | 99.92 81 | 95.95 285 | 99.75 181 | 99.63 97 |
|
MDA-MVSNet-bldmvs | | | 99.06 163 | 99.05 151 | 99.07 236 | 99.80 68 | 97.83 270 | 98.89 193 | 99.72 99 | 99.29 120 | 99.63 129 | 99.70 118 | 96.47 249 | 99.89 121 | 98.17 173 | 99.82 152 | 99.50 171 |
|
MSLP-MVS++ | | | 99.05 166 | 99.09 140 | 98.91 248 | 99.21 262 | 98.36 246 | 98.82 207 | 99.47 210 | 98.85 171 | 98.90 251 | 99.56 193 | 98.78 99 | 99.09 327 | 98.57 143 | 99.68 205 | 99.26 229 |
|
1112_ss | | | 99.05 166 | 98.84 185 | 99.67 83 | 99.66 142 | 99.29 157 | 98.52 233 | 99.82 48 | 97.65 255 | 99.43 177 | 99.16 273 | 96.42 251 | 99.91 91 | 99.07 104 | 99.84 133 | 99.80 25 |
|
ACMP | | 97.51 14 | 99.05 166 | 98.84 185 | 99.67 83 | 99.78 87 | 99.55 92 | 98.88 195 | 99.66 121 | 97.11 277 | 99.47 170 | 99.60 175 | 99.07 66 | 99.89 121 | 96.18 272 | 99.85 129 | 99.58 136 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
PVSNet_BlendedMVS | | | 99.03 169 | 99.01 160 | 99.09 233 | 99.54 176 | 97.99 264 | 98.58 224 | 99.82 48 | 97.62 256 | 99.34 197 | 99.71 111 | 98.52 144 | 99.77 259 | 97.98 183 | 99.97 46 | 99.52 162 |
|
IS-MVSNet | | | 99.03 169 | 98.85 184 | 99.55 143 | 99.80 68 | 99.25 169 | 99.73 21 | 99.15 273 | 99.37 113 | 99.61 141 | 99.71 111 | 94.73 273 | 99.81 241 | 97.70 198 | 99.88 111 | 99.58 136 |
|
xiu_mvs_v2_base | | | 99.02 171 | 99.11 131 | 98.77 263 | 99.37 228 | 98.09 260 | 98.13 266 | 99.51 198 | 99.47 95 | 99.42 178 | 98.54 318 | 99.38 28 | 99.97 16 | 98.83 126 | 99.33 264 | 98.24 309 |
|
Fast-Effi-MVS+ | | | 99.02 171 | 98.87 181 | 99.46 165 | 99.38 226 | 99.50 96 | 99.04 173 | 99.79 68 | 97.17 273 | 98.62 269 | 98.74 311 | 99.34 34 | 99.95 40 | 98.32 158 | 99.41 255 | 98.92 278 |
|
canonicalmvs | | | 99.02 171 | 99.00 162 | 99.09 233 | 99.10 279 | 98.70 228 | 99.61 60 | 99.66 121 | 99.63 69 | 98.64 268 | 97.65 331 | 99.04 70 | 99.54 317 | 98.79 129 | 98.92 288 | 99.04 269 |
|
MCST-MVS | | | 99.02 171 | 98.81 190 | 99.65 95 | 99.58 155 | 99.49 98 | 98.58 224 | 99.07 278 | 98.40 209 | 99.04 237 | 99.25 260 | 98.51 146 | 99.80 246 | 97.31 222 | 99.51 238 | 99.65 87 |
|
HSP-MVS | | | 99.01 175 | 98.76 194 | 99.76 42 | 99.78 87 | 99.73 48 | 99.35 93 | 99.31 250 | 98.54 200 | 99.54 158 | 98.99 288 | 96.81 242 | 99.93 64 | 96.97 240 | 99.53 236 | 99.61 115 |
|
SD-MVS | | | 99.01 175 | 99.30 100 | 98.15 284 | 99.50 190 | 99.40 128 | 98.94 191 | 99.61 145 | 99.22 136 | 99.75 89 | 99.82 58 | 99.54 22 | 95.51 333 | 97.48 213 | 99.87 118 | 99.54 151 |
|
LF4IMVS | | | 99.01 175 | 98.92 175 | 99.27 209 | 99.71 126 | 99.28 159 | 98.59 222 | 99.77 72 | 98.32 224 | 99.39 189 | 99.41 225 | 98.62 126 | 99.84 199 | 96.62 258 | 99.84 133 | 98.69 290 |
|
MS-PatchMatch | | | 99.00 178 | 98.97 169 | 99.09 233 | 99.11 277 | 98.19 253 | 98.76 214 | 99.33 244 | 98.49 204 | 99.44 173 | 99.58 183 | 98.21 169 | 99.69 284 | 98.20 167 | 99.62 217 | 99.39 206 |
|
PS-MVSNAJ | | | 99.00 178 | 99.08 141 | 98.76 264 | 99.37 228 | 98.10 259 | 98.00 282 | 99.51 198 | 99.47 95 | 99.41 184 | 98.50 320 | 99.28 39 | 99.97 16 | 98.83 126 | 99.34 262 | 98.20 313 |
|
CNVR-MVS | | | 98.99 180 | 98.80 192 | 99.56 140 | 99.25 257 | 99.43 119 | 98.54 232 | 99.27 257 | 98.58 197 | 98.80 258 | 99.43 221 | 98.53 142 | 99.70 278 | 97.22 228 | 99.59 223 | 99.54 151 |
|
VDDNet | | | 98.97 181 | 98.82 189 | 99.42 176 | 99.71 126 | 98.81 224 | 99.62 56 | 98.68 296 | 99.81 28 | 99.38 190 | 99.80 63 | 94.25 277 | 99.85 183 | 98.79 129 | 99.32 265 | 99.59 132 |
|
IterMVS | | | 98.97 181 | 99.16 120 | 98.42 274 | 99.74 116 | 95.64 301 | 98.06 276 | 99.83 40 | 99.83 26 | 99.85 56 | 99.74 94 | 96.10 259 | 99.99 4 | 99.27 76 | 100.00 1 | 99.63 97 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
TinyColmap | | | 98.97 181 | 98.93 172 | 99.07 236 | 99.46 209 | 98.19 253 | 97.75 299 | 99.75 83 | 98.79 179 | 99.54 158 | 99.70 118 | 98.97 75 | 99.62 310 | 96.63 257 | 99.83 143 | 99.41 203 |
|
HPM-MVS++ | | | 98.96 184 | 98.70 197 | 99.74 55 | 99.52 181 | 99.71 50 | 98.86 198 | 99.19 269 | 98.47 206 | 98.59 272 | 99.06 283 | 98.08 177 | 99.91 91 | 96.94 241 | 99.60 222 | 99.60 121 |
|
lupinMVS | | | 98.96 184 | 98.87 181 | 99.24 219 | 99.57 162 | 98.40 242 | 98.12 267 | 99.18 270 | 98.28 226 | 99.63 129 | 99.13 275 | 98.02 181 | 99.97 16 | 98.22 165 | 99.69 203 | 99.35 218 |
|
USDC | | | 98.96 184 | 98.93 172 | 99.05 238 | 99.54 176 | 97.99 264 | 97.07 316 | 99.80 60 | 98.21 229 | 99.75 89 | 99.77 85 | 98.43 152 | 99.64 307 | 97.90 186 | 99.88 111 | 99.51 165 |
|
YYNet1 | | | 98.95 187 | 98.99 165 | 98.84 257 | 99.64 146 | 97.14 285 | 98.22 258 | 99.32 246 | 98.92 165 | 99.59 144 | 99.66 145 | 97.40 219 | 99.83 215 | 98.27 163 | 99.90 99 | 99.55 144 |
|
MDA-MVSNet_test_wron | | | 98.95 187 | 98.99 165 | 98.85 255 | 99.64 146 | 97.16 284 | 98.23 257 | 99.33 244 | 98.93 163 | 99.56 154 | 99.66 145 | 97.39 221 | 99.83 215 | 98.29 161 | 99.88 111 | 99.55 144 |
|
Test_1112_low_res | | | 98.95 187 | 98.73 195 | 99.63 106 | 99.68 138 | 99.15 188 | 98.09 271 | 99.80 60 | 97.14 275 | 99.46 172 | 99.40 227 | 96.11 258 | 99.89 121 | 99.01 107 | 99.84 133 | 99.84 15 |
|
diffmvs | | | 98.94 190 | 98.87 181 | 99.13 230 | 99.37 228 | 98.90 216 | 99.25 126 | 99.64 135 | 97.55 261 | 99.04 237 | 99.58 183 | 97.23 229 | 99.64 307 | 98.73 135 | 99.44 246 | 98.86 282 |
|
test1235678 | | | 98.93 191 | 98.84 185 | 99.19 226 | 99.46 209 | 98.55 234 | 97.53 306 | 99.77 72 | 98.76 184 | 99.69 109 | 99.48 212 | 96.69 243 | 99.90 108 | 98.30 160 | 99.91 96 | 99.11 251 |
|
HyFIR lowres test | | | 98.91 192 | 98.64 202 | 99.73 61 | 99.85 38 | 99.47 102 | 98.07 275 | 99.83 40 | 98.64 192 | 99.89 37 | 99.60 175 | 92.57 290 | 100.00 1 | 99.33 65 | 99.97 46 | 99.72 46 |
|
HQP_MVS | | | 98.90 193 | 98.68 199 | 99.55 143 | 99.58 155 | 99.24 172 | 98.80 209 | 99.54 183 | 98.94 161 | 99.14 227 | 99.25 260 | 97.24 227 | 99.82 222 | 95.84 288 | 99.78 173 | 99.60 121 |
|
sss | | | 98.90 193 | 98.77 193 | 99.27 209 | 99.48 201 | 98.44 238 | 98.72 217 | 99.32 246 | 97.94 241 | 99.37 191 | 99.35 243 | 96.31 253 | 99.91 91 | 98.85 125 | 99.63 216 | 99.47 182 |
|
OMC-MVS | | | 98.90 193 | 98.72 196 | 99.44 171 | 99.39 223 | 99.42 123 | 98.58 224 | 99.64 135 | 97.31 271 | 99.44 173 | 99.62 165 | 98.59 130 | 99.69 284 | 96.17 273 | 99.79 168 | 99.22 233 |
|
new_pmnet | | | 98.88 196 | 98.89 179 | 98.84 257 | 99.70 133 | 97.62 276 | 98.15 263 | 99.50 201 | 97.98 238 | 99.62 136 | 99.54 200 | 98.15 174 | 99.94 53 | 97.55 209 | 99.84 133 | 98.95 275 |
|
K. test v3 | | | 98.87 197 | 98.60 204 | 99.69 77 | 99.93 18 | 99.46 106 | 99.74 19 | 94.97 330 | 99.78 34 | 99.88 45 | 99.88 34 | 93.66 281 | 99.97 16 | 99.61 38 | 99.95 64 | 99.64 93 |
|
APD-MVS | | | 98.87 197 | 98.59 205 | 99.71 70 | 99.50 190 | 99.62 79 | 99.01 178 | 99.57 172 | 96.80 283 | 99.54 158 | 99.63 158 | 98.29 162 | 99.91 91 | 95.24 303 | 99.71 200 | 99.61 115 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
mvs-test1 | | | 98.83 199 | 98.70 197 | 99.22 221 | 98.89 292 | 99.65 71 | 98.88 195 | 99.66 121 | 99.34 116 | 98.29 282 | 98.94 299 | 97.69 204 | 99.96 33 | 98.11 176 | 98.54 305 | 98.04 317 |
|
UnsupCasMVSNet_eth | | | 98.83 199 | 98.57 208 | 99.59 124 | 99.68 138 | 99.45 111 | 98.99 181 | 99.67 117 | 99.48 92 | 99.55 157 | 99.36 238 | 94.92 270 | 99.86 167 | 98.95 119 | 96.57 325 | 99.45 188 |
|
test_normal | | | 98.82 201 | 98.67 200 | 99.27 209 | 99.56 173 | 98.83 223 | 98.22 258 | 98.01 315 | 99.03 155 | 99.49 169 | 99.24 265 | 96.21 255 | 99.76 261 | 98.69 138 | 99.56 225 | 99.22 233 |
|
NCCC | | | 98.82 201 | 98.57 208 | 99.58 128 | 99.21 262 | 99.31 153 | 98.61 219 | 99.25 262 | 98.65 191 | 98.43 280 | 99.26 258 | 97.86 193 | 99.81 241 | 96.55 260 | 99.27 272 | 99.61 115 |
|
PMVS | | 92.94 21 | 98.82 201 | 98.81 190 | 98.85 255 | 99.84 41 | 97.99 264 | 99.20 137 | 99.47 210 | 99.71 47 | 99.42 178 | 99.82 58 | 98.09 175 | 99.47 321 | 93.88 318 | 99.85 129 | 99.07 265 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
DI_MVS_plusplus_test | | | 98.80 204 | 98.65 201 | 99.27 209 | 99.57 162 | 98.90 216 | 98.44 243 | 97.95 318 | 99.02 156 | 99.51 165 | 99.23 268 | 96.18 257 | 99.76 261 | 98.52 147 | 99.42 253 | 99.14 248 |
|
FMVSNet3 | | | 98.80 204 | 98.63 203 | 99.32 203 | 99.13 272 | 98.72 227 | 99.10 163 | 99.48 206 | 99.23 133 | 99.62 136 | 99.64 151 | 92.57 290 | 99.86 167 | 98.96 115 | 99.90 99 | 99.39 206 |
|
Patchmtry | | | 98.78 206 | 98.54 211 | 99.49 157 | 98.89 292 | 99.19 184 | 99.32 99 | 99.67 117 | 99.65 64 | 99.72 101 | 99.79 70 | 91.87 296 | 99.95 40 | 98.00 182 | 99.97 46 | 99.33 221 |
|
Vis-MVSNet (Re-imp) | | | 98.77 207 | 98.58 207 | 99.34 197 | 99.78 87 | 98.88 219 | 99.61 60 | 99.56 176 | 99.11 151 | 99.24 213 | 99.56 193 | 93.00 288 | 99.78 253 | 97.43 216 | 99.89 105 | 99.35 218 |
|
CLD-MVS | | | 98.76 208 | 98.57 208 | 99.33 199 | 99.57 162 | 98.97 206 | 97.53 306 | 99.55 179 | 96.41 286 | 99.27 208 | 99.13 275 | 99.07 66 | 99.78 253 | 96.73 252 | 99.89 105 | 99.23 232 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
CPTT-MVS | | | 98.74 209 | 98.44 216 | 99.64 102 | 99.61 149 | 99.38 137 | 99.18 139 | 99.55 179 | 96.49 285 | 99.27 208 | 99.37 232 | 97.11 236 | 99.92 81 | 95.74 292 | 99.67 209 | 99.62 110 |
|
F-COLMAP | | | 98.74 209 | 98.45 215 | 99.62 114 | 99.57 162 | 99.47 102 | 98.84 202 | 99.65 130 | 96.31 287 | 98.93 246 | 99.19 272 | 97.68 206 | 99.87 148 | 96.52 261 | 99.37 260 | 99.53 154 |
|
N_pmnet | | | 98.73 211 | 98.53 212 | 99.35 196 | 99.72 123 | 98.67 230 | 98.34 250 | 94.65 331 | 98.35 218 | 99.79 78 | 99.68 135 | 98.03 179 | 99.93 64 | 98.28 162 | 99.92 86 | 99.44 193 |
|
PVSNet_Blended | | | 98.70 212 | 98.59 205 | 99.02 241 | 99.54 176 | 97.99 264 | 97.58 303 | 99.82 48 | 95.70 297 | 99.34 197 | 98.98 291 | 98.52 144 | 99.77 259 | 97.98 183 | 99.83 143 | 99.30 225 |
|
PatchMatch-RL | | | 98.68 213 | 98.47 214 | 99.30 207 | 99.44 213 | 99.28 159 | 98.14 265 | 99.54 183 | 97.12 276 | 99.11 230 | 99.25 260 | 97.80 197 | 99.70 278 | 96.51 262 | 99.30 267 | 98.93 277 |
|
Test4 | | | 98.65 214 | 98.44 216 | 99.27 209 | 99.57 162 | 98.86 222 | 98.43 244 | 99.41 224 | 98.85 171 | 99.57 147 | 98.95 298 | 93.05 286 | 99.75 267 | 98.57 143 | 99.56 225 | 99.19 239 |
|
MVS_dtu | | | 98.62 215 | 98.53 212 | 98.90 253 | 97.96 325 | 97.70 274 | 98.18 260 | 99.14 274 | 99.59 81 | 97.90 302 | 99.41 225 | 95.40 269 | 99.92 81 | 99.24 77 | 99.91 96 | 99.07 265 |
|
test_prior3 | | | 98.62 215 | 98.34 230 | 99.46 165 | 99.35 231 | 99.22 176 | 97.95 289 | 99.39 232 | 97.87 244 | 98.05 295 | 99.05 284 | 97.90 188 | 99.69 284 | 95.99 281 | 99.49 241 | 99.48 178 |
|
CVMVSNet | | | 98.61 217 | 98.88 180 | 97.80 291 | 99.58 155 | 93.60 313 | 99.26 122 | 99.64 135 | 99.66 61 | 99.72 101 | 99.67 141 | 93.26 284 | 99.93 64 | 99.30 70 | 99.81 160 | 99.87 10 |
|
Patchmatch-RL test | | | 98.60 218 | 98.36 227 | 99.33 199 | 99.77 97 | 99.07 199 | 98.27 254 | 99.87 20 | 98.91 166 | 99.74 97 | 99.72 104 | 90.57 310 | 99.79 249 | 98.55 145 | 99.85 129 | 99.11 251 |
|
AdaColmap | | | 98.60 218 | 98.35 229 | 99.38 189 | 99.12 274 | 99.22 176 | 98.67 218 | 99.42 223 | 97.84 248 | 98.81 256 | 99.27 256 | 97.32 225 | 99.81 241 | 95.14 304 | 99.53 236 | 99.10 255 |
|
WTY-MVS | | | 98.59 220 | 98.37 226 | 99.26 214 | 99.43 215 | 98.40 242 | 98.74 215 | 99.13 277 | 98.10 233 | 99.21 217 | 99.24 265 | 94.82 272 | 99.90 108 | 97.86 189 | 98.77 295 | 99.49 177 |
|
CNLPA | | | 98.57 221 | 98.34 230 | 99.28 208 | 99.18 268 | 99.10 194 | 98.34 250 | 99.41 224 | 98.48 205 | 98.52 276 | 98.98 291 | 97.05 237 | 99.78 253 | 95.59 294 | 99.50 239 | 98.96 274 |
|
1121 | | | 98.56 222 | 98.24 235 | 99.52 150 | 99.49 195 | 99.24 172 | 99.30 109 | 99.22 267 | 95.77 295 | 98.52 276 | 99.29 253 | 97.39 221 | 99.85 183 | 95.79 290 | 99.34 262 | 99.46 186 |
|
CDPH-MVS | | | 98.56 222 | 98.20 239 | 99.61 117 | 99.50 190 | 99.46 106 | 98.32 252 | 99.41 224 | 95.22 303 | 99.21 217 | 99.10 281 | 98.34 159 | 99.82 222 | 95.09 306 | 99.66 212 | 99.56 141 |
|
UnsupCasMVSNet_bld | | | 98.55 224 | 98.27 234 | 99.40 184 | 99.56 173 | 99.37 140 | 97.97 288 | 99.68 114 | 97.49 264 | 99.08 232 | 99.35 243 | 95.41 268 | 99.82 222 | 97.70 198 | 98.19 311 | 99.01 273 |
|
RPMNet | | | 98.53 225 | 98.44 216 | 98.83 259 | 99.05 282 | 98.12 256 | 99.30 109 | 98.78 291 | 99.86 16 | 99.16 224 | 99.74 94 | 92.53 292 | 99.91 91 | 98.75 133 | 98.77 295 | 98.44 301 |
|
MG-MVS | | | 98.52 226 | 98.39 223 | 98.94 245 | 99.15 269 | 97.39 281 | 98.18 260 | 99.21 268 | 98.89 167 | 99.23 214 | 99.63 158 | 97.37 223 | 99.74 271 | 94.22 314 | 99.61 221 | 99.69 56 |
|
DP-MVS Recon | | | 98.50 227 | 98.23 236 | 99.31 205 | 99.49 195 | 99.46 106 | 98.56 228 | 99.63 138 | 94.86 309 | 98.85 254 | 99.37 232 | 97.81 196 | 99.59 314 | 96.08 275 | 99.44 246 | 98.88 280 |
|
CMPMVS | | 77.52 23 | 98.50 227 | 98.19 242 | 99.41 183 | 98.33 318 | 99.56 89 | 99.01 178 | 99.59 163 | 95.44 300 | 99.57 147 | 99.80 63 | 95.64 263 | 99.46 324 | 96.47 265 | 99.92 86 | 99.21 236 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
114514_t | | | 98.49 229 | 98.11 245 | 99.64 102 | 99.73 119 | 99.58 86 | 99.24 128 | 99.76 78 | 89.94 324 | 99.42 178 | 99.56 193 | 97.76 200 | 99.86 167 | 97.74 196 | 99.82 152 | 99.47 182 |
|
PMMVS | | | 98.49 229 | 98.29 233 | 99.11 231 | 98.96 285 | 98.42 241 | 97.54 304 | 99.32 246 | 97.53 263 | 98.47 279 | 98.15 325 | 97.88 191 | 99.82 222 | 97.46 214 | 99.24 275 | 99.09 258 |
|
MVSTER | | | 98.47 231 | 98.22 237 | 99.24 219 | 99.06 281 | 98.35 247 | 99.08 168 | 99.46 213 | 99.27 123 | 99.75 89 | 99.66 145 | 88.61 320 | 99.85 183 | 99.14 98 | 99.92 86 | 99.52 162 |
|
LFMVS | | | 98.46 232 | 98.19 242 | 99.26 214 | 99.24 259 | 98.52 236 | 99.62 56 | 96.94 323 | 99.87 13 | 99.31 203 | 99.58 183 | 91.04 301 | 99.81 241 | 98.68 140 | 99.42 253 | 99.45 188 |
|
PatchT | | | 98.45 233 | 98.32 232 | 98.83 259 | 98.94 286 | 98.29 248 | 99.24 128 | 98.82 289 | 99.84 23 | 99.08 232 | 99.76 88 | 91.37 299 | 99.94 53 | 98.82 128 | 99.00 287 | 98.26 307 |
|
MVS_test0326 | | | 98.43 234 | 98.36 227 | 98.65 268 | 98.03 324 | 97.02 286 | 98.04 277 | 98.32 310 | 99.54 85 | 97.38 315 | 99.37 232 | 95.45 267 | 99.90 108 | 99.22 79 | 99.87 118 | 99.02 271 |
|
test12356 | | | 98.43 234 | 98.39 223 | 98.55 270 | 99.46 209 | 96.36 295 | 97.32 313 | 99.81 56 | 97.60 257 | 99.62 136 | 99.37 232 | 94.57 274 | 99.89 121 | 97.80 193 | 99.92 86 | 99.40 204 |
|
MIMVSNet | | | 98.43 234 | 98.20 239 | 99.11 231 | 99.53 179 | 98.38 245 | 99.58 66 | 98.61 298 | 98.96 159 | 99.33 199 | 99.76 88 | 90.92 303 | 99.81 241 | 97.38 219 | 99.76 178 | 99.15 245 |
|
PVSNet | | 97.47 15 | 98.42 237 | 98.44 216 | 98.35 277 | 99.46 209 | 96.26 296 | 96.70 321 | 99.34 243 | 97.68 254 | 99.00 240 | 99.13 275 | 97.40 219 | 99.72 274 | 97.59 208 | 99.68 205 | 99.08 261 |
|
CHOSEN 280x420 | | | 98.41 238 | 98.41 221 | 98.40 275 | 99.34 241 | 95.89 299 | 96.94 317 | 99.44 218 | 98.80 178 | 99.25 210 | 99.52 204 | 93.51 282 | 99.98 7 | 98.94 120 | 99.98 35 | 99.32 223 |
|
BH-RMVSNet | | | 98.41 238 | 98.14 244 | 99.21 223 | 99.21 262 | 98.47 237 | 98.60 221 | 98.26 312 | 98.35 218 | 98.93 246 | 99.31 248 | 97.20 233 | 99.66 298 | 94.32 312 | 99.10 281 | 99.51 165 |
|
QAPM | | | 98.40 240 | 97.99 251 | 99.65 95 | 99.39 223 | 99.47 102 | 99.67 46 | 99.52 196 | 91.70 321 | 98.78 261 | 99.80 63 | 98.55 136 | 99.95 40 | 94.71 310 | 99.75 181 | 99.53 154 |
|
API-MVS | | | 98.38 241 | 98.39 223 | 98.35 277 | 98.83 299 | 99.26 165 | 99.14 155 | 99.18 270 | 98.59 196 | 98.66 267 | 98.78 308 | 98.61 128 | 99.57 316 | 94.14 315 | 99.56 225 | 96.21 325 |
|
HQP-MVS | | | 98.36 242 | 98.02 250 | 99.39 187 | 99.31 247 | 98.94 209 | 97.98 285 | 99.37 238 | 97.45 265 | 98.15 289 | 98.83 305 | 96.67 244 | 99.70 278 | 94.73 308 | 99.67 209 | 99.53 154 |
|
PAPM_NR | | | 98.36 242 | 98.04 249 | 99.33 199 | 99.48 201 | 98.93 213 | 98.79 212 | 99.28 256 | 97.54 262 | 98.56 275 | 98.57 316 | 97.12 235 | 99.69 284 | 94.09 316 | 98.90 290 | 99.38 209 |
|
PLC | | 97.35 16 | 98.36 242 | 97.99 251 | 99.48 160 | 99.32 246 | 99.24 172 | 98.50 235 | 99.51 198 | 95.19 305 | 98.58 273 | 98.96 296 | 96.95 240 | 99.83 215 | 95.63 293 | 99.25 273 | 99.37 213 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
train_agg | | | 98.35 245 | 97.95 255 | 99.57 134 | 99.35 231 | 99.35 147 | 98.11 269 | 99.41 224 | 94.90 307 | 97.92 300 | 98.99 288 | 98.02 181 | 99.85 183 | 95.38 301 | 99.44 246 | 99.50 171 |
|
CR-MVSNet | | | 98.35 245 | 98.20 239 | 98.83 259 | 99.05 282 | 98.12 256 | 99.30 109 | 99.67 117 | 97.39 268 | 99.16 224 | 99.79 70 | 91.87 296 | 99.91 91 | 98.78 132 | 98.77 295 | 98.44 301 |
|
LP | | | 98.34 247 | 98.44 216 | 98.05 286 | 98.88 296 | 95.31 306 | 99.28 118 | 98.74 293 | 99.12 150 | 98.98 241 | 99.79 70 | 93.40 283 | 99.93 64 | 98.38 152 | 99.41 255 | 98.90 279 |
|
agg_prior1 | | | 98.33 248 | 97.92 257 | 99.57 134 | 99.35 231 | 99.36 143 | 97.99 284 | 99.39 232 | 94.85 310 | 97.76 311 | 98.98 291 | 98.03 179 | 99.85 183 | 95.49 296 | 99.44 246 | 99.51 165 |
|
alignmvs | | | 98.28 249 | 97.96 254 | 99.25 217 | 99.12 274 | 98.93 213 | 99.03 175 | 98.42 307 | 99.64 66 | 98.72 265 | 97.85 328 | 90.86 306 | 99.62 310 | 98.88 124 | 99.13 279 | 99.19 239 |
|
agg_prior3 | | | 98.24 250 | 97.81 263 | 99.53 148 | 99.34 241 | 99.26 165 | 98.09 271 | 99.39 232 | 94.21 315 | 97.77 310 | 98.96 296 | 97.74 201 | 99.84 199 | 95.38 301 | 99.44 246 | 99.50 171 |
|
MAR-MVS | | | 98.24 250 | 97.92 257 | 99.19 226 | 98.78 304 | 99.65 71 | 99.17 142 | 99.14 274 | 95.36 301 | 98.04 297 | 98.81 307 | 97.47 216 | 99.72 274 | 95.47 298 | 99.06 282 | 98.21 311 |
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 |
OpenMVS | | 98.12 10 | 98.23 252 | 97.89 261 | 99.26 214 | 99.19 266 | 99.26 165 | 99.65 54 | 99.69 111 | 91.33 322 | 98.14 293 | 99.77 85 | 98.28 163 | 99.96 33 | 95.41 300 | 99.55 231 | 98.58 295 |
|
BH-untuned | | | 98.22 253 | 98.09 246 | 98.58 269 | 99.38 226 | 97.24 283 | 98.55 229 | 98.98 284 | 97.81 250 | 99.20 222 | 98.76 309 | 97.01 238 | 99.65 305 | 94.83 307 | 98.33 306 | 98.86 282 |
|
HY-MVS | | 98.23 9 | 98.21 254 | 97.95 255 | 98.99 242 | 99.03 284 | 98.24 249 | 99.61 60 | 98.72 294 | 96.81 282 | 98.73 264 | 99.51 208 | 94.06 278 | 99.86 167 | 96.91 242 | 98.20 309 | 98.86 282 |
|
testus | | | 98.15 255 | 98.06 248 | 98.40 275 | 99.11 277 | 95.95 297 | 96.77 319 | 99.89 15 | 95.83 293 | 99.23 214 | 98.47 321 | 97.50 215 | 99.84 199 | 96.58 259 | 99.20 278 | 99.39 206 |
|
Patchmatch-test1 | | | 98.13 256 | 98.40 222 | 97.31 300 | 99.20 265 | 92.99 315 | 98.17 262 | 98.49 304 | 98.24 228 | 99.10 231 | 99.52 204 | 96.01 260 | 99.83 215 | 97.22 228 | 99.62 217 | 99.12 250 |
|
EPNet | | | 98.13 256 | 97.77 267 | 99.18 229 | 94.57 333 | 97.99 264 | 99.24 128 | 97.96 316 | 99.74 40 | 97.29 318 | 99.62 165 | 93.13 285 | 99.97 16 | 98.59 142 | 99.83 143 | 99.58 136 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
Patchmatch-test | | | 98.10 258 | 97.98 253 | 98.48 273 | 99.27 256 | 96.48 293 | 99.40 83 | 99.07 278 | 98.81 176 | 99.23 214 | 99.57 190 | 90.11 314 | 99.87 148 | 96.69 253 | 99.64 215 | 99.09 258 |
|
pmmvs3 | | | 98.08 259 | 97.80 264 | 98.91 248 | 99.41 219 | 97.69 275 | 97.87 296 | 99.66 121 | 95.87 292 | 99.50 167 | 99.51 208 | 90.35 312 | 99.97 16 | 98.55 145 | 99.47 243 | 99.08 261 |
|
JIA-IIPM | | | 98.06 260 | 97.92 257 | 98.50 272 | 98.59 312 | 97.02 286 | 98.80 209 | 98.51 302 | 99.88 12 | 97.89 303 | 99.87 37 | 91.89 295 | 99.90 108 | 98.16 174 | 97.68 321 | 98.59 293 |
|
TAPA-MVS | | 97.92 13 | 98.03 261 | 97.55 273 | 99.46 165 | 99.47 205 | 99.44 113 | 98.50 235 | 99.62 141 | 86.79 325 | 99.07 235 | 99.26 258 | 98.26 165 | 99.62 310 | 97.28 225 | 99.73 194 | 99.31 224 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
1314 | | | 98.00 262 | 97.90 260 | 98.27 282 | 98.90 288 | 97.45 280 | 99.30 109 | 99.06 280 | 94.98 306 | 97.21 319 | 99.12 279 | 98.43 152 | 99.67 297 | 95.58 295 | 98.56 304 | 97.71 319 |
|
GA-MVS | | | 97.99 263 | 97.68 270 | 98.93 247 | 99.52 181 | 98.04 263 | 97.19 315 | 99.05 281 | 98.32 224 | 98.81 256 | 98.97 294 | 89.89 317 | 99.41 325 | 98.33 157 | 99.05 283 | 99.34 220 |
|
MVS-HIRNet | | | 97.86 264 | 98.22 237 | 96.76 304 | 99.28 254 | 91.53 325 | 98.38 247 | 92.60 332 | 99.13 149 | 99.31 203 | 99.96 11 | 97.18 234 | 99.68 292 | 98.34 156 | 99.83 143 | 99.07 265 |
|
FMVSNet5 | | | 97.80 265 | 97.25 276 | 99.42 176 | 98.83 299 | 98.97 206 | 99.38 86 | 99.80 60 | 98.87 169 | 99.25 210 | 99.69 124 | 80.60 333 | 99.91 91 | 98.96 115 | 99.90 99 | 99.38 209 |
|
ADS-MVSNet2 | | | 97.78 266 | 97.66 272 | 98.12 285 | 99.14 270 | 95.36 304 | 99.22 134 | 98.75 292 | 96.97 278 | 98.25 285 | 99.64 151 | 90.90 304 | 99.94 53 | 96.51 262 | 99.56 225 | 99.08 261 |
|
tpmrst | | | 97.73 267 | 98.07 247 | 96.73 306 | 98.71 309 | 92.00 319 | 99.10 163 | 98.86 286 | 98.52 201 | 98.92 248 | 99.54 200 | 91.90 294 | 99.82 222 | 98.02 180 | 99.03 285 | 98.37 303 |
|
ADS-MVSNet | | | 97.72 268 | 97.67 271 | 97.86 289 | 99.14 270 | 94.65 309 | 99.22 134 | 98.86 286 | 96.97 278 | 98.25 285 | 99.64 151 | 90.90 304 | 99.84 199 | 96.51 262 | 99.56 225 | 99.08 261 |
|
PatchmatchNet | | | 97.65 269 | 97.80 264 | 97.18 301 | 98.82 301 | 92.49 317 | 99.17 142 | 98.39 308 | 98.12 232 | 98.79 259 | 99.58 183 | 90.71 308 | 99.89 121 | 97.23 227 | 99.41 255 | 99.16 244 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
EPNet_dtu | | | 97.62 270 | 97.79 266 | 97.11 303 | 96.67 332 | 92.31 318 | 98.51 234 | 98.04 313 | 99.24 131 | 95.77 327 | 99.47 215 | 93.78 280 | 99.66 298 | 98.98 110 | 99.62 217 | 99.37 213 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
wuyk23d | | | 97.58 271 | 99.13 126 | 92.93 318 | 99.69 135 | 99.49 98 | 99.52 71 | 99.77 72 | 97.97 239 | 99.96 8 | 99.79 70 | 99.84 4 | 99.94 53 | 95.85 287 | 99.82 152 | 79.36 328 |
|
PAPR | | | 97.56 272 | 97.07 278 | 99.04 239 | 98.80 302 | 98.11 258 | 97.63 301 | 99.25 262 | 94.56 313 | 98.02 298 | 98.25 324 | 97.43 218 | 99.68 292 | 90.90 325 | 98.74 299 | 99.33 221 |
|
TR-MVS | | | 97.44 273 | 97.15 277 | 98.32 279 | 98.53 314 | 97.46 279 | 98.47 238 | 97.91 319 | 96.85 280 | 98.21 288 | 98.51 319 | 96.42 251 | 99.51 319 | 92.16 321 | 97.29 322 | 97.98 318 |
|
tpmvs | | | 97.39 274 | 97.69 269 | 96.52 310 | 98.41 316 | 91.76 322 | 99.30 109 | 98.94 285 | 97.74 251 | 97.85 306 | 99.55 198 | 92.40 293 | 99.73 273 | 96.25 271 | 98.73 301 | 98.06 316 |
|
test0.0.03 1 | | | 97.37 275 | 96.91 285 | 98.74 265 | 97.72 326 | 97.57 277 | 97.60 302 | 97.36 322 | 98.00 235 | 99.21 217 | 98.02 326 | 90.04 315 | 99.79 249 | 98.37 153 | 95.89 328 | 98.86 282 |
|
OpenMVS_ROB | | 97.31 17 | 97.36 276 | 96.84 286 | 98.89 254 | 99.29 252 | 99.45 111 | 98.87 197 | 99.48 206 | 86.54 327 | 99.44 173 | 99.74 94 | 97.34 224 | 99.86 167 | 91.61 322 | 99.28 269 | 97.37 323 |
|
1111 | | | 97.29 277 | 96.71 289 | 99.04 239 | 99.65 144 | 97.72 272 | 98.35 248 | 99.80 60 | 99.40 109 | 99.66 118 | 99.43 221 | 75.10 337 | 99.87 148 | 98.98 110 | 99.98 35 | 99.52 162 |
|
BH-w/o | | | 97.20 278 | 97.01 281 | 97.76 292 | 99.08 280 | 95.69 300 | 98.03 279 | 98.52 301 | 95.76 296 | 97.96 299 | 98.02 326 | 95.62 264 | 99.47 321 | 92.82 320 | 97.25 323 | 98.12 315 |
|
test-LLR | | | 97.15 279 | 96.95 283 | 97.74 294 | 98.18 321 | 95.02 307 | 97.38 309 | 96.10 325 | 98.00 235 | 97.81 307 | 98.58 314 | 90.04 315 | 99.91 91 | 97.69 203 | 98.78 293 | 98.31 305 |
|
tpm | | | 97.15 279 | 96.95 283 | 97.75 293 | 98.91 287 | 94.24 311 | 99.32 99 | 97.96 316 | 97.71 253 | 98.29 282 | 99.32 246 | 86.72 322 | 99.92 81 | 98.10 178 | 96.24 327 | 99.09 258 |
|
E-PMN | | | 97.14 281 | 97.43 274 | 96.27 312 | 98.79 303 | 91.62 324 | 95.54 325 | 99.01 283 | 99.44 100 | 98.88 252 | 99.12 279 | 92.78 289 | 99.68 292 | 94.30 313 | 99.03 285 | 97.50 320 |
|
PNet_i23d | | | 97.02 282 | 97.87 262 | 94.49 317 | 99.69 135 | 84.81 335 | 95.18 328 | 99.85 29 | 97.83 249 | 99.32 201 | 99.57 190 | 95.53 266 | 99.47 321 | 96.09 274 | 97.74 320 | 99.18 241 |
|
cascas | | | 96.99 283 | 96.82 287 | 97.48 296 | 97.57 329 | 95.64 301 | 96.43 323 | 99.56 176 | 91.75 320 | 97.13 320 | 97.61 332 | 95.58 265 | 98.63 330 | 96.68 254 | 99.11 280 | 98.18 314 |
|
EMVS | | | 96.96 284 | 97.28 275 | 95.99 316 | 98.76 306 | 91.03 327 | 95.26 327 | 98.61 298 | 99.34 116 | 98.92 248 | 98.88 304 | 93.79 279 | 99.66 298 | 92.87 319 | 99.05 283 | 97.30 324 |
|
PatchFormer-LS_test | | | 96.95 285 | 97.07 278 | 96.62 309 | 98.76 306 | 91.85 321 | 99.18 139 | 98.45 306 | 97.29 272 | 97.73 313 | 97.22 336 | 88.77 319 | 99.76 261 | 98.13 175 | 98.04 315 | 98.25 308 |
|
dp | | | 96.86 286 | 97.07 278 | 96.24 314 | 98.68 311 | 90.30 332 | 99.19 138 | 98.38 309 | 97.35 270 | 98.23 287 | 99.59 181 | 87.23 321 | 99.82 222 | 96.27 270 | 98.73 301 | 98.59 293 |
|
tpm cat1 | | | 96.78 287 | 96.98 282 | 96.16 315 | 98.85 298 | 90.59 331 | 99.08 168 | 99.32 246 | 92.37 319 | 97.73 313 | 99.46 218 | 91.15 300 | 99.69 284 | 96.07 276 | 98.80 292 | 98.21 311 |
|
PCF-MVS | | 96.03 18 | 96.73 288 | 95.86 294 | 99.33 199 | 99.44 213 | 99.16 186 | 96.87 318 | 99.44 218 | 86.58 326 | 98.95 244 | 99.40 227 | 94.38 276 | 99.88 136 | 87.93 328 | 99.80 165 | 98.95 275 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
CostFormer | | | 96.71 289 | 96.79 288 | 96.46 311 | 98.90 288 | 90.71 329 | 99.41 82 | 98.68 296 | 94.69 312 | 98.14 293 | 99.34 245 | 86.32 324 | 99.80 246 | 97.60 207 | 98.07 314 | 98.88 280 |
|
MVE | | 92.54 22 | 96.66 290 | 96.11 292 | 98.31 280 | 99.68 138 | 97.55 278 | 97.94 291 | 95.60 329 | 99.37 113 | 90.68 331 | 98.70 312 | 96.56 246 | 98.61 331 | 86.94 329 | 99.55 231 | 98.77 288 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
EPMVS | | | 96.53 291 | 96.32 290 | 97.17 302 | 98.18 321 | 92.97 316 | 99.39 84 | 89.95 334 | 98.21 229 | 98.61 270 | 99.59 181 | 86.69 323 | 99.72 274 | 96.99 239 | 99.23 277 | 98.81 286 |
|
tpm2 | | | 96.35 292 | 96.22 291 | 96.73 306 | 98.88 296 | 91.75 323 | 99.21 136 | 98.51 302 | 93.27 318 | 97.89 303 | 99.21 270 | 84.83 325 | 99.70 278 | 96.04 278 | 98.18 312 | 98.75 289 |
|
FPMVS | | | 96.32 293 | 95.50 298 | 98.79 262 | 99.60 150 | 98.17 255 | 98.46 242 | 98.80 290 | 97.16 274 | 96.28 323 | 99.63 158 | 82.19 328 | 99.09 327 | 88.45 327 | 98.89 291 | 99.10 255 |
|
TESTMET0.1,1 | | | 96.24 294 | 95.84 295 | 97.41 298 | 98.24 319 | 93.84 312 | 97.38 309 | 95.84 328 | 98.43 207 | 97.81 307 | 98.56 317 | 79.77 334 | 99.89 121 | 97.77 194 | 98.77 295 | 98.52 297 |
|
test-mter | | | 96.23 295 | 95.73 297 | 97.74 294 | 98.18 321 | 95.02 307 | 97.38 309 | 96.10 325 | 97.90 242 | 97.81 307 | 98.58 314 | 79.12 335 | 99.91 91 | 97.69 203 | 98.78 293 | 98.31 305 |
|
tpmp4_e23 | | | 96.11 296 | 96.06 293 | 96.27 312 | 98.90 288 | 90.70 330 | 99.34 94 | 99.03 282 | 93.72 316 | 96.56 322 | 99.31 248 | 83.63 326 | 99.75 267 | 96.06 277 | 98.02 316 | 98.35 304 |
|
X-MVStestdata | | | 96.09 297 | 94.87 304 | 99.75 51 | 99.71 126 | 99.71 50 | 99.37 90 | 99.61 145 | 99.29 120 | 98.76 262 | 61.30 337 | 98.47 148 | 99.88 136 | 97.62 205 | 99.73 194 | 99.67 69 |
|
DWT-MVSNet_test | | | 96.03 298 | 95.80 296 | 96.71 308 | 98.50 315 | 91.93 320 | 99.25 126 | 97.87 320 | 95.99 291 | 96.81 321 | 97.61 332 | 81.02 330 | 99.66 298 | 97.20 231 | 97.98 317 | 98.54 296 |
|
test2356 | | | 95.99 299 | 95.26 302 | 98.18 283 | 96.93 331 | 95.53 303 | 95.31 326 | 98.71 295 | 95.67 298 | 98.48 278 | 97.83 329 | 80.72 331 | 99.88 136 | 95.47 298 | 98.21 308 | 99.11 251 |
|
gg-mvs-nofinetune | | | 95.87 300 | 95.17 303 | 97.97 288 | 98.19 320 | 96.95 288 | 99.69 38 | 89.23 335 | 99.89 10 | 96.24 325 | 99.94 13 | 81.19 329 | 99.51 319 | 93.99 317 | 98.20 309 | 97.44 321 |
|
PVSNet_0 | | 95.53 19 | 95.85 301 | 95.31 300 | 97.47 297 | 98.78 304 | 93.48 314 | 95.72 324 | 99.40 229 | 96.18 289 | 97.37 316 | 97.73 330 | 95.73 262 | 99.58 315 | 95.49 296 | 81.40 330 | 99.36 216 |
|
tmp_tt | | | 95.75 302 | 95.42 299 | 96.76 304 | 89.90 334 | 94.42 310 | 98.86 198 | 97.87 320 | 78.01 328 | 99.30 207 | 99.69 124 | 97.70 202 | 95.89 332 | 99.29 73 | 98.14 313 | 99.95 1 |
|
MVS | | | 95.72 303 | 94.63 306 | 98.99 242 | 98.56 313 | 97.98 269 | 99.30 109 | 98.86 286 | 72.71 330 | 97.30 317 | 99.08 282 | 98.34 159 | 99.74 271 | 89.21 326 | 98.33 306 | 99.26 229 |
|
PAPM | | | 95.61 304 | 94.71 305 | 98.31 280 | 99.12 274 | 96.63 291 | 96.66 322 | 98.46 305 | 90.77 323 | 96.25 324 | 98.68 313 | 93.01 287 | 99.69 284 | 81.60 330 | 97.86 319 | 98.62 291 |
|
IB-MVS | | 95.41 20 | 95.30 305 | 94.46 307 | 97.84 290 | 98.76 306 | 95.33 305 | 97.33 312 | 96.07 327 | 96.02 290 | 95.37 329 | 97.41 334 | 76.17 336 | 99.96 33 | 97.54 210 | 95.44 329 | 98.22 310 |
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 |
testpf | | | 94.48 306 | 95.31 300 | 91.99 319 | 97.22 330 | 89.64 333 | 98.86 198 | 96.52 324 | 94.36 314 | 96.09 326 | 98.76 309 | 82.21 327 | 98.73 329 | 97.05 237 | 96.74 324 | 87.60 327 |
|
.test1245 | | | 85.84 307 | 89.27 308 | 75.54 320 | 99.65 144 | 97.72 272 | 98.35 248 | 99.80 60 | 99.40 109 | 99.66 118 | 99.43 221 | 75.10 337 | 99.87 148 | 98.98 110 | 33.07 331 | 29.03 330 |
|
pcd1.5k->3k | | | 49.97 308 | 55.52 309 | 33.31 321 | 99.95 13 | 0.00 338 | 0.00 329 | 99.81 56 | 0.00 333 | 0.00 334 | 100.00 1 | 99.96 1 | 0.00 336 | 0.00 333 | 100.00 1 | 99.92 3 |
|
test123 | | | 29.31 309 | 33.05 312 | 18.08 322 | 25.93 336 | 12.24 336 | 97.53 306 | 10.93 338 | 11.78 331 | 24.21 332 | 50.08 341 | 21.04 339 | 8.60 334 | 23.51 331 | 32.43 333 | 33.39 329 |
|
testmvs | | | 28.94 310 | 33.33 310 | 15.79 323 | 26.03 335 | 9.81 337 | 96.77 319 | 15.67 337 | 11.55 332 | 23.87 333 | 50.74 340 | 19.03 340 | 8.53 335 | 23.21 332 | 33.07 331 | 29.03 330 |
|
cdsmvs_eth3d_5k | | | 24.88 311 | 33.17 311 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 99.62 141 | 0.00 333 | 0.00 334 | 99.13 275 | 99.82 6 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
pcd_1.5k_mvsjas | | | 16.61 312 | 22.14 313 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 100.00 1 | 99.28 39 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
sosnet-low-res | | | 8.33 313 | 11.11 314 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 100.00 1 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
sosnet | | | 8.33 313 | 11.11 314 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 100.00 1 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
uncertanet | | | 8.33 313 | 11.11 314 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 100.00 1 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
Regformer | | | 8.33 313 | 11.11 314 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 100.00 1 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
uanet | | | 8.33 313 | 11.11 314 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 100.00 1 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
ab-mvs-re | | | 8.26 318 | 11.02 319 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 99.16 273 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
sam_mvs1 | | | | | | | | | | | | | 90.81 307 | | | | |
|
sam_mvs | | | | | | | | | | | | | 90.52 311 | | | | |
|
semantic-postprocess | | | | | 98.51 271 | 99.75 110 | 95.90 298 | | 99.84 37 | 99.84 23 | 99.89 37 | 99.73 98 | 95.96 261 | 99.99 4 | 99.33 65 | 100.00 1 | 99.63 97 |
|
ambc | | | | | 99.20 225 | 99.35 231 | 98.53 235 | 99.17 142 | 99.46 213 | | 99.67 114 | 99.80 63 | 98.46 150 | 99.70 278 | 97.92 185 | 99.70 202 | 99.38 209 |
|
MTGPA | | | | | | | | | 99.53 188 | | | | | | | | |
|
test_post1 | | | | | | | | 99.14 155 | | | | 51.63 339 | 89.54 318 | 99.82 222 | 96.86 245 | | |
|
test_post | | | | | | | | | | | | 52.41 338 | 90.25 313 | 99.86 167 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 99.62 165 | 90.58 309 | 99.94 53 | | | |
|
GG-mvs-BLEND | | | | | 97.36 299 | 97.59 327 | 96.87 290 | 99.70 29 | 88.49 336 | | 94.64 330 | 97.26 335 | 80.66 332 | 99.12 326 | 91.50 323 | 96.50 326 | 96.08 326 |
|
MTMP | | | | | | | | | 98.59 300 | | | | | | | | |
|
gm-plane-assit | | | | | | 97.59 327 | 89.02 334 | | | 93.47 317 | | 98.30 322 | | 99.84 199 | 96.38 266 | | |
|
test9_res | | | | | | | | | | | | | | | 95.10 305 | 99.44 246 | 99.50 171 |
|
TEST9 | | | | | | 99.35 231 | 99.35 147 | 98.11 269 | 99.41 224 | 94.83 311 | 97.92 300 | 98.99 288 | 98.02 181 | 99.85 183 | | | |
|
test_8 | | | | | | 99.34 241 | 99.31 153 | 98.08 274 | 99.40 229 | 94.90 307 | 97.87 305 | 98.97 294 | 98.02 181 | 99.84 199 | | | |
|
agg_prior2 | | | | | | | | | | | | | | | 94.58 311 | 99.46 245 | 99.50 171 |
|
agg_prior | | | | | | 99.35 231 | 99.36 143 | | 99.39 232 | | 97.76 311 | | | 99.85 183 | | | |
|
TestCases | | | | | 99.63 106 | 99.78 87 | 99.64 73 | | 99.83 40 | 98.63 193 | 99.63 129 | 99.72 104 | 98.68 115 | 99.75 267 | 96.38 266 | 99.83 143 | 99.51 165 |
|
test_prior4 | | | | | | | 99.19 184 | 98.00 282 | | | | | | | | | |
|
test_prior2 | | | | | | | | 97.95 289 | | 97.87 244 | 98.05 295 | 99.05 284 | 97.90 188 | | 95.99 281 | 99.49 241 | |
|
test_prior | | | | | 99.46 165 | 99.35 231 | 99.22 176 | | 99.39 232 | | | | | 99.69 284 | | | 99.48 178 |
|
旧先验2 | | | | | | | | 97.94 291 | | 95.33 302 | 98.94 245 | | | 99.88 136 | 96.75 250 | | |
|
新几何2 | | | | | | | | 98.04 277 | | | | | | | | | |
|
新几何1 | | | | | 99.52 150 | 99.50 190 | 99.22 176 | | 99.26 259 | 95.66 299 | 98.60 271 | 99.28 254 | 97.67 207 | 99.89 121 | 95.95 285 | 99.32 265 | 99.45 188 |
|
旧先验1 | | | | | | 99.49 195 | 99.29 157 | | 99.26 259 | | | 99.39 230 | 97.67 207 | | | 99.36 261 | 99.46 186 |
|
无先验 | | | | | | | | 98.01 280 | 99.23 266 | 95.83 293 | | | | 99.85 183 | 95.79 290 | | 99.44 193 |
|
原ACMM2 | | | | | | | | 97.92 293 | | | | | | | | | |
|
原ACMM1 | | | | | 99.37 192 | 99.47 205 | 98.87 221 | | 99.27 257 | 96.74 284 | 98.26 284 | 99.32 246 | 97.93 187 | 99.82 222 | 95.96 284 | 99.38 258 | 99.43 199 |
|
test222 | | | | | | 99.51 185 | 99.08 197 | 97.83 298 | 99.29 253 | 95.21 304 | 98.68 266 | 99.31 248 | 97.28 226 | | | 99.38 258 | 99.43 199 |
|
testdata2 | | | | | | | | | | | | | | 99.89 121 | 95.99 281 | | |
|
segment_acmp | | | | | | | | | | | | | 98.37 157 | | | | |
|
testdata | | | | | 99.42 176 | 99.51 185 | 98.93 213 | | 99.30 252 | 96.20 288 | 98.87 253 | 99.40 227 | 98.33 161 | 99.89 121 | 96.29 269 | 99.28 269 | 99.44 193 |
|
testdata1 | | | | | | | | 97.72 300 | | 97.86 247 | | | | | | | |
|
test12 | | | | | 99.54 147 | 99.29 252 | 99.33 150 | | 99.16 272 | | 98.43 280 | | 97.54 213 | 99.82 222 | | 99.47 243 | 99.48 178 |
|
plane_prior7 | | | | | | 99.58 155 | 99.38 137 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.47 205 | 99.26 165 | | | | | | 97.24 227 | | | | |
|
plane_prior5 | | | | | | | | | 99.54 183 | | | | | 99.82 222 | 95.84 288 | 99.78 173 | 99.60 121 |
|
plane_prior4 | | | | | | | | | | | | 99.25 260 | | | | | |
|
plane_prior3 | | | | | | | 99.31 153 | | | 98.36 213 | 99.14 227 | | | | | | |
|
plane_prior2 | | | | | | | | 98.80 209 | | 98.94 161 | | | | | | | |
|
plane_prior1 | | | | | | 99.51 185 | | | | | | | | | | | |
|
plane_prior | | | | | | | 99.24 172 | 98.42 245 | | 97.87 244 | | | | | | 99.71 200 | |
|
n2 | | | | | | | | | 0.00 339 | | | | | | | | |
|
nn | | | | | | | | | 0.00 339 | | | | | | | | |
|
door-mid | | | | | | | | | 99.83 40 | | | | | | | | |
|
lessismore_v0 | | | | | 99.64 102 | 99.86 34 | 99.38 137 | | 90.66 333 | | 99.89 37 | 99.83 51 | 94.56 275 | 99.97 16 | 99.56 43 | 99.92 86 | 99.57 140 |
|
LGP-MVS_train | | | | | 99.74 55 | 99.82 52 | 99.63 77 | | 99.73 91 | 97.56 259 | 99.64 126 | 99.69 124 | 99.37 30 | 99.89 121 | 96.66 255 | 99.87 118 | 99.69 56 |
|
test11 | | | | | | | | | 99.29 253 | | | | | | | | |
|
door | | | | | | | | | 99.77 72 | | | | | | | | |
|
HQP5-MVS | | | | | | | 98.94 209 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.31 247 | | 97.98 285 | | 97.45 265 | 98.15 289 | | | | | | |
|
ACMP_Plane | | | | | | 99.31 247 | | 97.98 285 | | 97.45 265 | 98.15 289 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 94.73 308 | | |
|
HQP4-MVS | | | | | | | | | | | 98.15 289 | | | 99.70 278 | | | 99.53 154 |
|
HQP3-MVS | | | | | | | | | 99.37 238 | | | | | | | 99.67 209 | |
|
HQP2-MVS | | | | | | | | | | | | | 96.67 244 | | | | |
|
NP-MVS | | | | | | 99.40 222 | 99.13 189 | | | | | 98.83 305 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 91.44 326 | 99.14 155 | | 97.37 269 | 99.21 217 | | 91.78 298 | | 96.75 250 | | 99.03 270 |
|
MDTV_nov1_ep13 | | | | 97.73 268 | | 98.70 310 | 90.83 328 | 99.15 150 | 98.02 314 | 98.51 202 | 98.82 255 | 99.61 172 | 90.98 302 | 99.66 298 | 96.89 244 | 98.92 288 | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.94 75 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.79 168 | |
|
Test By Simon | | | | | | | | | | | | | 98.41 154 | | | | |
|
ITE_SJBPF | | | | | 99.38 189 | 99.63 148 | 99.44 113 | | 99.73 91 | 98.56 198 | 99.33 199 | 99.53 202 | 98.88 86 | 99.68 292 | 96.01 279 | 99.65 214 | 99.02 271 |
|
DeepMVS_CX | | | | | 97.98 287 | 99.69 135 | 96.95 288 | | 99.26 259 | 75.51 329 | 95.74 328 | 98.28 323 | 96.47 249 | 99.62 310 | 91.23 324 | 97.89 318 | 97.38 322 |
|