| fmvsm_l_conf0.5_n_a | | | 99.71 1 | 99.67 1 | 99.85 43 | 99.86 25 | 99.61 86 | 99.56 154 | 99.63 46 | 99.48 3 | 99.98 13 | 99.83 113 | 98.75 61 | 99.99 4 | 99.97 2 | 99.96 17 | 99.94 17 |
|
| fmvsm_l_conf0.5_n | | | 99.71 1 | 99.67 1 | 99.85 43 | 99.84 38 | 99.63 82 | 99.56 154 | 99.63 46 | 99.47 6 | 99.98 13 | 99.82 124 | 98.75 61 | 99.99 4 | 99.97 2 | 99.97 9 | 99.94 17 |
|
| MED-MVS | | | 99.70 3 | 99.64 4 | 99.90 8 | 99.88 13 | 99.81 33 | 99.69 63 | 99.87 6 | 99.48 3 | 99.90 34 | 99.89 45 | 99.30 4 | 99.95 76 | 98.83 177 | 99.89 67 | 99.93 22 |
|
| TestfortrainingZip a | | | 99.70 3 | 99.63 6 | 99.92 1 | 99.88 13 | 99.90 2 | 99.69 63 | 99.79 11 | 99.48 3 | 99.93 29 | 99.89 45 | 98.78 53 | 99.93 108 | 99.32 88 | 99.88 74 | 99.93 22 |
|
| test_fmvsmconf_n | | | 99.70 3 | 99.64 4 | 99.87 22 | 99.80 63 | 99.66 71 | 99.48 231 | 99.64 42 | 99.45 13 | 99.92 30 | 99.92 18 | 98.62 77 | 99.99 4 | 99.96 13 | 99.99 1 | 99.96 7 |
|
| test_fmvsm_n_1920 | | | 99.69 6 | 99.66 3 | 99.78 71 | 99.84 38 | 99.44 117 | 99.58 138 | 99.69 22 | 99.43 19 | 99.98 13 | 99.91 26 | 98.62 77 | 100.00 1 | 99.97 2 | 99.95 22 | 99.90 27 |
|
| APDe-MVS |  | | 99.66 7 | 99.57 10 | 99.92 1 | 99.77 78 | 99.89 6 | 99.75 43 | 99.56 89 | 99.02 62 | 99.88 42 | 99.85 91 | 99.18 11 | 99.96 41 | 99.22 109 | 99.92 38 | 99.90 27 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| test_fmvsmvis_n_1920 | | | 99.65 8 | 99.61 8 | 99.77 74 | 99.38 284 | 99.37 124 | 99.58 138 | 99.62 51 | 99.41 23 | 99.87 48 | 99.92 18 | 98.81 49 | 100.00 1 | 99.97 2 | 99.93 32 | 99.94 17 |
|
| reproduce_model | | | 99.63 9 | 99.54 13 | 99.90 8 | 99.78 70 | 99.88 10 | 99.56 154 | 99.55 99 | 99.15 38 | 99.90 34 | 99.90 36 | 99.00 23 | 99.97 29 | 99.11 127 | 99.91 45 | 99.86 43 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.61 10 | 99.51 18 | 99.92 1 | 99.84 38 | 99.82 28 | 99.54 174 | 99.66 32 | 99.46 9 | 99.98 13 | 99.89 45 | 97.27 133 | 99.99 4 | 99.97 2 | 99.95 22 | 99.95 11 |
|
| reproduce-ours | | | 99.61 10 | 99.52 14 | 99.90 8 | 99.76 82 | 99.88 10 | 99.52 185 | 99.54 108 | 99.13 41 | 99.89 39 | 99.89 45 | 98.96 26 | 99.96 41 | 99.04 137 | 99.90 56 | 99.85 47 |
|
| our_new_method | | | 99.61 10 | 99.52 14 | 99.90 8 | 99.76 82 | 99.88 10 | 99.52 185 | 99.54 108 | 99.13 41 | 99.89 39 | 99.89 45 | 98.96 26 | 99.96 41 | 99.04 137 | 99.90 56 | 99.85 47 |
|
| SED-MVS | | | 99.61 10 | 99.52 14 | 99.88 16 | 99.84 38 | 99.90 2 | 99.60 117 | 99.48 209 | 99.08 56 | 99.91 31 | 99.81 139 | 99.20 8 | 99.96 41 | 98.91 158 | 99.85 93 | 99.79 92 |
|
| lecture | | | 99.60 14 | 99.50 19 | 99.89 12 | 99.89 8 | 99.90 2 | 99.75 43 | 99.59 72 | 99.06 61 | 99.88 42 | 99.85 91 | 98.41 93 | 99.96 41 | 99.28 101 | 99.84 101 | 99.83 64 |
|
| DVP-MVS++ | | | 99.59 15 | 99.50 19 | 99.88 16 | 99.51 234 | 99.88 10 | 99.87 8 | 99.51 159 | 98.99 69 | 99.88 42 | 99.81 139 | 99.27 6 | 99.96 41 | 98.85 171 | 99.80 125 | 99.81 79 |
|
| fmvsm_l_conf0.5_n_9 | | | 99.58 16 | 99.47 24 | 99.92 1 | 99.85 31 | 99.82 28 | 99.47 241 | 99.63 46 | 99.45 13 | 99.98 13 | 99.89 45 | 97.02 148 | 99.99 4 | 99.98 1 | 99.96 17 | 99.95 11 |
|
| TSAR-MVS + MP. | | | 99.58 16 | 99.50 19 | 99.81 60 | 99.91 1 | 99.66 71 | 99.63 104 | 99.39 290 | 98.91 83 | 99.78 82 | 99.85 91 | 99.36 2 | 99.94 91 | 98.84 174 | 99.88 74 | 99.82 72 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| EI-MVSNet-UG-set | | | 99.58 16 | 99.57 10 | 99.64 102 | 99.78 70 | 99.14 163 | 99.60 117 | 99.45 255 | 99.01 64 | 99.90 34 | 99.83 113 | 98.98 25 | 99.93 108 | 99.59 45 | 99.95 22 | 99.86 43 |
|
| EI-MVSNet-Vis-set | | | 99.58 16 | 99.56 12 | 99.64 102 | 99.78 70 | 99.15 162 | 99.61 115 | 99.45 255 | 99.01 64 | 99.89 39 | 99.82 124 | 99.01 19 | 99.92 123 | 99.56 49 | 99.95 22 | 99.85 47 |
|
| DVP-MVS |  | | 99.57 20 | 99.47 24 | 99.88 16 | 99.85 31 | 99.89 6 | 99.57 146 | 99.37 308 | 99.10 48 | 99.81 69 | 99.80 157 | 98.94 33 | 99.96 41 | 98.93 155 | 99.86 86 | 99.81 79 |
| 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 |
| ME-MVS | | | 99.56 21 | 99.46 28 | 99.86 34 | 99.80 63 | 99.81 33 | 99.37 292 | 99.70 18 | 99.18 35 | 99.83 64 | 99.83 113 | 98.74 66 | 99.93 108 | 98.83 177 | 99.89 67 | 99.83 64 |
|
| fmvsm_s_conf0.5_n_a | | | 99.56 21 | 99.47 24 | 99.85 43 | 99.83 47 | 99.64 81 | 99.52 185 | 99.65 39 | 99.10 48 | 99.98 13 | 99.92 18 | 97.35 129 | 99.96 41 | 99.94 21 | 99.92 38 | 99.95 11 |
|
| test_fmvsmconf0.1_n | | | 99.55 23 | 99.45 30 | 99.86 34 | 99.44 265 | 99.65 75 | 99.50 206 | 99.61 60 | 99.45 13 | 99.87 48 | 99.92 18 | 97.31 130 | 99.97 29 | 99.95 16 | 99.99 1 | 99.97 4 |
|
| fmvsm_s_conf0.5_n_8 | | | 99.54 24 | 99.42 32 | 99.89 12 | 99.83 47 | 99.74 54 | 99.51 195 | 99.62 51 | 99.46 9 | 99.99 2 | 99.90 36 | 96.60 172 | 99.98 20 | 99.95 16 | 99.95 22 | 99.96 7 |
|
| fmvsm_s_conf0.5_n_6 | | | 99.54 24 | 99.44 31 | 99.85 43 | 99.51 234 | 99.67 68 | 99.50 206 | 99.64 42 | 99.43 19 | 99.98 13 | 99.78 181 | 97.26 136 | 99.95 76 | 99.95 16 | 99.93 32 | 99.92 25 |
|
| SteuartSystems-ACMMP | | | 99.54 24 | 99.42 32 | 99.87 22 | 99.82 53 | 99.81 33 | 99.59 128 | 99.51 159 | 98.62 113 | 99.79 77 | 99.83 113 | 99.28 5 | 99.97 29 | 98.48 228 | 99.90 56 | 99.84 54 |
| Skip Steuart: Steuart Systems R&D Blog. |
| XVS | | | 99.53 27 | 99.42 32 | 99.87 22 | 99.85 31 | 99.83 22 | 99.69 63 | 99.68 24 | 98.98 72 | 99.37 222 | 99.74 205 | 98.81 49 | 99.94 91 | 98.79 185 | 99.86 86 | 99.84 54 |
|
| MTAPA | | | 99.52 28 | 99.39 39 | 99.89 12 | 99.90 4 | 99.86 18 | 99.66 84 | 99.47 231 | 98.79 96 | 99.68 121 | 99.81 139 | 98.43 90 | 99.97 29 | 98.88 161 | 99.90 56 | 99.83 64 |
|
| fmvsm_s_conf0.5_n | | | 99.51 29 | 99.40 37 | 99.85 43 | 99.84 38 | 99.65 75 | 99.51 195 | 99.67 27 | 99.13 41 | 99.98 13 | 99.92 18 | 96.60 172 | 99.96 41 | 99.95 16 | 99.96 17 | 99.95 11 |
|
| HPM-MVS_fast | | | 99.51 29 | 99.40 37 | 99.85 43 | 99.91 1 | 99.79 41 | 99.76 38 | 99.56 89 | 97.72 263 | 99.76 92 | 99.75 199 | 99.13 13 | 99.92 123 | 99.07 134 | 99.92 38 | 99.85 47 |
|
| mvsany_test1 | | | 99.50 31 | 99.46 28 | 99.62 109 | 99.61 192 | 99.09 168 | 98.94 424 | 99.48 209 | 99.10 48 | 99.96 27 | 99.91 26 | 98.85 43 | 99.96 41 | 99.72 32 | 99.58 169 | 99.82 72 |
|
| CS-MVS | | | 99.50 31 | 99.48 22 | 99.54 127 | 99.76 82 | 99.42 119 | 99.90 1 | 99.55 99 | 98.56 119 | 99.78 82 | 99.70 222 | 98.65 75 | 99.79 249 | 99.65 41 | 99.78 134 | 99.41 270 |
|
| SPE-MVS-test | | | 99.49 33 | 99.48 22 | 99.54 127 | 99.78 70 | 99.30 139 | 99.89 2 | 99.58 77 | 98.56 119 | 99.73 99 | 99.69 233 | 98.55 82 | 99.82 231 | 99.69 34 | 99.85 93 | 99.48 249 |
|
| HFP-MVS | | | 99.49 33 | 99.37 43 | 99.86 34 | 99.87 20 | 99.80 38 | 99.66 84 | 99.67 27 | 98.15 180 | 99.68 121 | 99.69 233 | 99.06 17 | 99.96 41 | 98.69 197 | 99.87 78 | 99.84 54 |
|
| ACMMPR | | | 99.49 33 | 99.36 45 | 99.86 34 | 99.87 20 | 99.79 41 | 99.66 84 | 99.67 27 | 98.15 180 | 99.67 127 | 99.69 233 | 98.95 31 | 99.96 41 | 98.69 197 | 99.87 78 | 99.84 54 |
|
| DeepC-MVS_fast | | 98.69 1 | 99.49 33 | 99.39 39 | 99.77 74 | 99.63 172 | 99.59 89 | 99.36 298 | 99.46 244 | 99.07 58 | 99.79 77 | 99.82 124 | 98.85 43 | 99.92 123 | 98.68 199 | 99.87 78 | 99.82 72 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| region2R | | | 99.48 37 | 99.35 47 | 99.87 22 | 99.88 13 | 99.80 38 | 99.65 90 | 99.66 32 | 98.13 187 | 99.66 132 | 99.68 241 | 98.96 26 | 99.96 41 | 98.62 206 | 99.87 78 | 99.84 54 |
|
| APD-MVS_3200maxsize | | | 99.48 37 | 99.35 47 | 99.85 43 | 99.76 82 | 99.83 22 | 99.63 104 | 99.54 108 | 98.36 142 | 99.79 77 | 99.82 124 | 98.86 42 | 99.95 76 | 98.62 206 | 99.81 120 | 99.78 98 |
|
| DELS-MVS | | | 99.48 37 | 99.42 32 | 99.65 96 | 99.72 111 | 99.40 122 | 99.05 396 | 99.66 32 | 99.14 40 | 99.57 170 | 99.80 157 | 98.46 88 | 99.94 91 | 99.57 48 | 99.84 101 | 99.60 201 |
| 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 |
| ZNCC-MVS | | | 99.47 40 | 99.33 51 | 99.87 22 | 99.87 20 | 99.81 33 | 99.64 98 | 99.67 27 | 98.08 205 | 99.55 178 | 99.64 261 | 98.91 38 | 99.96 41 | 98.72 192 | 99.90 56 | 99.82 72 |
|
| ACMMP_NAP | | | 99.47 40 | 99.34 49 | 99.88 16 | 99.87 20 | 99.86 18 | 99.47 241 | 99.48 209 | 98.05 213 | 99.76 92 | 99.86 84 | 98.82 48 | 99.93 108 | 98.82 184 | 99.91 45 | 99.84 54 |
|
| MVSMamba_PlusPlus | | | 99.46 42 | 99.41 36 | 99.64 102 | 99.68 135 | 99.50 109 | 99.75 43 | 99.50 184 | 98.27 155 | 99.87 48 | 99.92 18 | 98.09 108 | 99.94 91 | 99.65 41 | 99.95 22 | 99.47 255 |
|
| BridgeMVS | | | 99.46 42 | 99.39 39 | 99.67 91 | 99.55 217 | 99.58 94 | 99.74 48 | 99.51 159 | 98.42 135 | 99.87 48 | 99.84 106 | 98.05 111 | 99.91 135 | 99.58 47 | 99.94 30 | 99.52 232 |
|
| DPE-MVS |  | | 99.46 42 | 99.32 53 | 99.91 6 | 99.78 70 | 99.88 10 | 99.36 298 | 99.51 159 | 98.73 103 | 99.88 42 | 99.84 106 | 98.72 68 | 99.96 41 | 98.16 264 | 99.87 78 | 99.88 36 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| MSLP-MVS++ | | | 99.46 42 | 99.47 24 | 99.44 178 | 99.60 198 | 99.16 157 | 99.41 273 | 99.71 16 | 98.98 72 | 99.45 194 | 99.78 181 | 99.19 10 | 99.54 333 | 99.28 101 | 99.84 101 | 99.63 193 |
|
| SR-MVS-dyc-post | | | 99.45 46 | 99.31 59 | 99.85 43 | 99.76 82 | 99.82 28 | 99.63 104 | 99.52 133 | 98.38 138 | 99.76 92 | 99.82 124 | 98.53 83 | 99.95 76 | 98.61 209 | 99.81 120 | 99.77 100 |
|
| PGM-MVS | | | 99.45 46 | 99.31 59 | 99.86 34 | 99.87 20 | 99.78 47 | 99.58 138 | 99.65 39 | 97.84 246 | 99.71 114 | 99.80 157 | 99.12 14 | 99.97 29 | 98.33 249 | 99.87 78 | 99.83 64 |
|
| CP-MVS | | | 99.45 46 | 99.32 53 | 99.85 43 | 99.83 47 | 99.75 51 | 99.69 63 | 99.52 133 | 98.07 206 | 99.53 181 | 99.63 267 | 98.93 37 | 99.97 29 | 98.74 189 | 99.91 45 | 99.83 64 |
|
| ACMMP |  | | 99.45 46 | 99.32 53 | 99.82 57 | 99.89 8 | 99.67 68 | 99.62 109 | 99.69 22 | 98.12 195 | 99.63 150 | 99.84 106 | 98.73 67 | 99.96 41 | 98.55 224 | 99.83 113 | 99.81 79 |
| 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 |
| SMA-MVS |  | | 99.44 50 | 99.30 61 | 99.85 43 | 99.73 107 | 99.83 22 | 99.56 154 | 99.47 231 | 97.45 297 | 99.78 82 | 99.82 124 | 99.18 11 | 99.91 135 | 98.79 185 | 99.89 67 | 99.81 79 |
| 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 |
| mPP-MVS | | | 99.44 50 | 99.30 61 | 99.86 34 | 99.88 13 | 99.79 41 | 99.69 63 | 99.48 209 | 98.12 195 | 99.50 186 | 99.75 199 | 98.78 53 | 99.97 29 | 98.57 218 | 99.89 67 | 99.83 64 |
|
| EC-MVSNet | | | 99.44 50 | 99.39 39 | 99.58 118 | 99.56 213 | 99.49 110 | 99.88 4 | 99.58 77 | 98.38 138 | 99.73 99 | 99.69 233 | 98.20 103 | 99.70 295 | 99.64 43 | 99.82 117 | 99.54 226 |
|
| SR-MVS | | | 99.43 53 | 99.29 65 | 99.86 34 | 99.75 92 | 99.83 22 | 99.59 128 | 99.62 51 | 98.21 171 | 99.73 99 | 99.79 174 | 98.68 71 | 99.96 41 | 98.44 235 | 99.77 137 | 99.79 92 |
|
| MCST-MVS | | | 99.43 53 | 99.30 61 | 99.82 57 | 99.79 68 | 99.74 54 | 99.29 324 | 99.40 287 | 98.79 96 | 99.52 183 | 99.62 272 | 98.91 38 | 99.90 148 | 98.64 203 | 99.75 142 | 99.82 72 |
|
| MSP-MVS | | | 99.42 55 | 99.27 72 | 99.88 16 | 99.89 8 | 99.80 38 | 99.67 77 | 99.50 184 | 98.70 107 | 99.77 86 | 99.49 319 | 98.21 102 | 99.95 76 | 98.46 233 | 99.77 137 | 99.88 36 |
| 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 |
| UA-Net | | | 99.42 55 | 99.29 65 | 99.80 64 | 99.62 181 | 99.55 97 | 99.50 206 | 99.70 18 | 98.79 96 | 99.77 86 | 99.96 1 | 97.45 124 | 99.96 41 | 98.92 157 | 99.90 56 | 99.89 30 |
|
| HPM-MVS |  | | 99.42 55 | 99.28 68 | 99.83 56 | 99.90 4 | 99.72 56 | 99.81 20 | 99.54 108 | 97.59 278 | 99.68 121 | 99.63 267 | 98.91 38 | 99.94 91 | 98.58 215 | 99.91 45 | 99.84 54 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| CNVR-MVS | | | 99.42 55 | 99.30 61 | 99.78 71 | 99.62 181 | 99.71 58 | 99.26 344 | 99.52 133 | 98.82 90 | 99.39 217 | 99.71 218 | 98.96 26 | 99.85 190 | 98.59 214 | 99.80 125 | 99.77 100 |
|
| fmvsm_s_conf0.5_n_10 | | | 99.41 59 | 99.24 77 | 99.92 1 | 99.83 47 | 99.84 20 | 99.53 183 | 99.56 89 | 99.45 13 | 99.99 2 | 99.92 18 | 94.92 263 | 99.99 4 | 99.97 2 | 99.97 9 | 99.95 11 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.41 59 | 99.28 68 | 99.81 60 | 99.84 38 | 99.52 106 | 99.48 231 | 99.62 51 | 99.46 9 | 99.99 2 | 99.92 18 | 95.24 250 | 99.96 41 | 99.97 2 | 99.97 9 | 99.96 7 |
|
| SD-MVS | | | 99.41 59 | 99.52 14 | 99.05 243 | 99.74 100 | 99.68 64 | 99.46 245 | 99.52 133 | 99.11 47 | 99.88 42 | 99.91 26 | 99.43 1 | 97.70 486 | 98.72 192 | 99.93 32 | 99.77 100 |
| 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 |
| MVS_111021_LR | | | 99.41 59 | 99.33 51 | 99.65 96 | 99.77 78 | 99.51 108 | 98.94 424 | 99.85 8 | 98.82 90 | 99.65 142 | 99.74 205 | 98.51 85 | 99.80 243 | 98.83 177 | 99.89 67 | 99.64 188 |
|
| MVS_111021_HR | | | 99.41 59 | 99.32 53 | 99.66 92 | 99.72 111 | 99.47 114 | 98.95 422 | 99.85 8 | 98.82 90 | 99.54 179 | 99.73 211 | 98.51 85 | 99.74 271 | 98.91 158 | 99.88 74 | 99.77 100 |
|
| MM | | | 99.40 64 | 99.28 68 | 99.74 80 | 99.67 138 | 99.31 136 | 99.52 185 | 98.87 429 | 99.55 1 | 99.74 97 | 99.80 157 | 96.47 180 | 99.98 20 | 99.97 2 | 99.97 9 | 99.94 17 |
|
| GST-MVS | | | 99.40 64 | 99.24 77 | 99.85 43 | 99.86 25 | 99.79 41 | 99.60 117 | 99.67 27 | 97.97 230 | 99.63 150 | 99.68 241 | 98.52 84 | 99.95 76 | 98.38 242 | 99.86 86 | 99.81 79 |
|
| HPM-MVS++ |  | | 99.39 66 | 99.23 81 | 99.87 22 | 99.75 92 | 99.84 20 | 99.43 262 | 99.51 159 | 98.68 110 | 99.27 252 | 99.53 305 | 98.64 76 | 99.96 41 | 98.44 235 | 99.80 125 | 99.79 92 |
|
| SF-MVS | | | 99.38 67 | 99.24 77 | 99.79 68 | 99.79 68 | 99.68 64 | 99.57 146 | 99.54 108 | 97.82 252 | 99.71 114 | 99.80 157 | 98.95 31 | 99.93 108 | 98.19 260 | 99.84 101 | 99.74 118 |
|
| fmvsm_s_conf0.5_n_5 | | | 99.37 68 | 99.21 83 | 99.86 34 | 99.80 63 | 99.68 64 | 99.42 269 | 99.61 60 | 99.37 26 | 99.97 25 | 99.86 84 | 94.96 258 | 99.99 4 | 99.97 2 | 99.93 32 | 99.92 25 |
|
| fmvsm_s_conf0.5_n_3 | | | 99.37 68 | 99.20 85 | 99.87 22 | 99.75 92 | 99.70 60 | 99.48 231 | 99.66 32 | 99.45 13 | 99.99 2 | 99.93 10 | 94.64 291 | 99.97 29 | 99.94 21 | 99.97 9 | 99.95 11 |
|
| fmvsm_s_conf0.1_n_2 | | | 99.37 68 | 99.22 82 | 99.81 60 | 99.77 78 | 99.75 51 | 99.46 245 | 99.60 67 | 99.47 6 | 99.98 13 | 99.94 6 | 94.98 257 | 99.95 76 | 99.97 2 | 99.79 132 | 99.73 128 |
|
| MP-MVS-pluss | | | 99.37 68 | 99.20 85 | 99.88 16 | 99.90 4 | 99.87 17 | 99.30 319 | 99.52 133 | 97.18 324 | 99.60 162 | 99.79 174 | 98.79 52 | 99.95 76 | 98.83 177 | 99.91 45 | 99.83 64 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| fmvsm_s_conf0.5_n_4 | | | 99.36 72 | 99.24 77 | 99.73 83 | 99.78 70 | 99.53 102 | 99.49 223 | 99.60 67 | 99.42 22 | 99.99 2 | 99.86 84 | 95.15 253 | 99.95 76 | 99.95 16 | 99.89 67 | 99.73 128 |
|
| TSAR-MVS + GP. | | | 99.36 72 | 99.36 45 | 99.36 193 | 99.67 138 | 98.61 258 | 99.07 389 | 99.33 330 | 99.00 67 | 99.82 68 | 99.81 139 | 99.06 17 | 99.84 200 | 99.09 132 | 99.42 181 | 99.65 181 |
|
| PVSNet_Blended_VisFu | | | 99.36 72 | 99.28 68 | 99.61 110 | 99.86 25 | 99.07 173 | 99.47 241 | 99.93 2 | 97.66 272 | 99.71 114 | 99.86 84 | 97.73 119 | 99.96 41 | 99.47 66 | 99.82 117 | 99.79 92 |
|
| fmvsm_s_conf0.5_n_7 | | | 99.34 75 | 99.29 65 | 99.48 164 | 99.70 122 | 98.63 253 | 99.42 269 | 99.63 46 | 99.46 9 | 99.98 13 | 99.88 58 | 95.59 233 | 99.96 41 | 99.97 2 | 99.98 4 | 99.85 47 |
|
| NCCC | | | 99.34 75 | 99.19 87 | 99.79 68 | 99.61 192 | 99.65 75 | 99.30 319 | 99.48 209 | 98.86 85 | 99.21 267 | 99.63 267 | 98.72 68 | 99.90 148 | 98.25 256 | 99.63 164 | 99.80 88 |
|
| MP-MVS |  | | 99.33 77 | 99.15 92 | 99.87 22 | 99.88 13 | 99.82 28 | 99.66 84 | 99.46 244 | 98.09 201 | 99.48 190 | 99.74 205 | 98.29 99 | 99.96 41 | 97.93 286 | 99.87 78 | 99.82 72 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| fmvsm_s_conf0.5_n_11 | | | 99.32 78 | 99.16 91 | 99.80 64 | 99.83 47 | 99.70 60 | 99.57 146 | 99.56 89 | 99.45 13 | 99.99 2 | 99.93 10 | 94.18 314 | 99.99 4 | 99.96 13 | 99.98 4 | 99.73 128 |
|
| fmvsm_s_conf0.5_n_2 | | | 99.32 78 | 99.13 94 | 99.89 12 | 99.80 63 | 99.77 48 | 99.44 256 | 99.58 77 | 99.47 6 | 99.99 2 | 99.93 10 | 94.04 319 | 99.96 41 | 99.96 13 | 99.93 32 | 99.93 22 |
|
| PS-MVSNAJ | | | 99.32 78 | 99.32 53 | 99.30 210 | 99.57 209 | 98.94 201 | 98.97 418 | 99.46 244 | 98.92 82 | 99.71 114 | 99.24 391 | 99.01 19 | 99.98 20 | 99.35 80 | 99.66 159 | 98.97 326 |
|
| CSCG | | | 99.32 78 | 99.32 53 | 99.32 203 | 99.85 31 | 98.29 284 | 99.71 58 | 99.66 32 | 98.11 197 | 99.41 210 | 99.80 157 | 98.37 96 | 99.96 41 | 98.99 143 | 99.96 17 | 99.72 138 |
|
| PHI-MVS | | | 99.30 82 | 99.17 90 | 99.70 87 | 99.56 213 | 99.52 106 | 99.58 138 | 99.80 10 | 97.12 330 | 99.62 154 | 99.73 211 | 98.58 79 | 99.90 148 | 98.61 209 | 99.91 45 | 99.68 163 |
|
| DeepC-MVS | | 98.35 2 | 99.30 82 | 99.19 87 | 99.64 102 | 99.82 53 | 99.23 149 | 99.62 109 | 99.55 99 | 98.94 79 | 99.63 150 | 99.95 3 | 95.82 221 | 99.94 91 | 99.37 78 | 99.97 9 | 99.73 128 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| fmvsm_s_conf0.1_n | | | 99.29 84 | 99.10 98 | 99.86 34 | 99.70 122 | 99.65 75 | 99.53 183 | 99.62 51 | 98.74 102 | 99.99 2 | 99.95 3 | 94.53 299 | 99.94 91 | 99.89 25 | 99.96 17 | 99.97 4 |
|
| xiu_mvs_v1_base_debu | | | 99.29 84 | 99.27 72 | 99.34 197 | 99.63 172 | 98.97 187 | 99.12 379 | 99.51 159 | 98.86 85 | 99.84 55 | 99.47 330 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 308 |
|
| xiu_mvs_v1_base | | | 99.29 84 | 99.27 72 | 99.34 197 | 99.63 172 | 98.97 187 | 99.12 379 | 99.51 159 | 98.86 85 | 99.84 55 | 99.47 330 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 308 |
|
| xiu_mvs_v1_base_debi | | | 99.29 84 | 99.27 72 | 99.34 197 | 99.63 172 | 98.97 187 | 99.12 379 | 99.51 159 | 98.86 85 | 99.84 55 | 99.47 330 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 308 |
|
| NormalMVS | | | 99.27 88 | 99.19 87 | 99.52 142 | 99.89 8 | 98.83 231 | 99.65 90 | 99.52 133 | 99.10 48 | 99.84 55 | 99.76 194 | 95.80 223 | 99.99 4 | 99.30 93 | 99.84 101 | 99.74 118 |
|
| APD-MVS |  | | 99.27 88 | 99.08 104 | 99.84 55 | 99.75 92 | 99.79 41 | 99.50 206 | 99.50 184 | 97.16 326 | 99.77 86 | 99.82 124 | 98.78 53 | 99.94 91 | 97.56 328 | 99.86 86 | 99.80 88 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| LS3D | | | 99.27 88 | 99.12 96 | 99.74 80 | 99.18 339 | 99.75 51 | 99.56 154 | 99.57 84 | 98.45 131 | 99.49 189 | 99.85 91 | 97.77 118 | 99.94 91 | 98.33 249 | 99.84 101 | 99.52 232 |
|
| fmvsm_s_conf0.1_n_a | | | 99.26 91 | 99.06 109 | 99.85 43 | 99.52 231 | 99.62 83 | 99.54 174 | 99.62 51 | 98.69 108 | 99.99 2 | 99.96 1 | 94.47 301 | 99.94 91 | 99.88 26 | 99.92 38 | 99.98 2 |
|
| patch_mono-2 | | | 99.26 91 | 99.62 7 | 98.16 371 | 99.81 57 | 94.59 454 | 99.52 185 | 99.64 42 | 99.33 29 | 99.73 99 | 99.90 36 | 99.00 23 | 99.99 4 | 99.69 34 | 99.98 4 | 99.89 30 |
|
| ETV-MVS | | | 99.26 91 | 99.21 83 | 99.40 186 | 99.46 258 | 99.30 139 | 99.56 154 | 99.52 133 | 98.52 123 | 99.44 199 | 99.27 387 | 98.41 93 | 99.86 182 | 99.10 130 | 99.59 168 | 99.04 316 |
|
| xiu_mvs_v2_base | | | 99.26 91 | 99.25 76 | 99.29 213 | 99.53 225 | 98.91 208 | 99.02 404 | 99.45 255 | 98.80 95 | 99.71 114 | 99.26 389 | 98.94 33 | 99.98 20 | 99.34 85 | 99.23 200 | 98.98 324 |
|
| CANet | | | 99.25 95 | 99.14 93 | 99.59 114 | 99.41 273 | 99.16 157 | 99.35 303 | 99.57 84 | 98.82 90 | 99.51 185 | 99.61 276 | 96.46 181 | 99.95 76 | 99.59 45 | 99.98 4 | 99.65 181 |
|
| 3Dnovator | | 97.25 9 | 99.24 96 | 99.05 111 | 99.81 60 | 99.12 355 | 99.66 71 | 99.84 12 | 99.74 13 | 99.09 55 | 98.92 324 | 99.90 36 | 95.94 214 | 99.98 20 | 98.95 151 | 99.92 38 | 99.79 92 |
|
| LuminaMVS | | | 99.23 97 | 99.10 98 | 99.61 110 | 99.35 291 | 99.31 136 | 99.46 245 | 99.13 387 | 98.61 114 | 99.86 52 | 99.89 45 | 96.41 186 | 99.91 135 | 99.67 37 | 99.51 174 | 99.63 193 |
|
| dcpmvs_2 | | | 99.23 97 | 99.58 9 | 98.16 371 | 99.83 47 | 94.68 451 | 99.76 38 | 99.52 133 | 99.07 58 | 99.98 13 | 99.88 58 | 98.56 81 | 99.93 108 | 99.67 37 | 99.98 4 | 99.87 41 |
|
| test_fmvsmconf0.01_n | | | 99.22 99 | 99.03 116 | 99.79 68 | 98.42 455 | 99.48 112 | 99.55 169 | 99.51 159 | 99.39 24 | 99.78 82 | 99.93 10 | 94.80 272 | 99.95 76 | 99.93 23 | 99.95 22 | 99.94 17 |
|
| diffmvs_AUTHOR | | | 99.19 100 | 99.10 98 | 99.48 164 | 99.64 167 | 98.85 226 | 99.32 313 | 99.48 209 | 98.50 125 | 99.81 69 | 99.81 139 | 96.82 160 | 99.88 168 | 99.40 72 | 99.12 220 | 99.71 150 |
|
| CHOSEN 1792x2688 | | | 99.19 100 | 99.10 98 | 99.45 173 | 99.89 8 | 98.52 268 | 99.39 285 | 99.94 1 | 98.73 103 | 99.11 287 | 99.89 45 | 95.50 236 | 99.94 91 | 99.50 57 | 99.97 9 | 99.89 30 |
|
| F-COLMAP | | | 99.19 100 | 99.04 113 | 99.64 102 | 99.78 70 | 99.27 144 | 99.42 269 | 99.54 108 | 97.29 314 | 99.41 210 | 99.59 281 | 98.42 92 | 99.93 108 | 98.19 260 | 99.69 153 | 99.73 128 |
|
| E3new | | | 99.18 103 | 99.08 104 | 99.48 164 | 99.63 172 | 98.94 201 | 99.46 245 | 99.50 184 | 98.06 210 | 99.72 104 | 99.84 106 | 97.27 133 | 99.84 200 | 99.10 130 | 99.13 215 | 99.67 169 |
|
| viewcassd2359sk11 | | | 99.18 103 | 99.08 104 | 99.49 160 | 99.65 162 | 98.95 197 | 99.48 231 | 99.51 159 | 98.10 200 | 99.72 104 | 99.87 74 | 97.13 139 | 99.84 200 | 99.13 124 | 99.14 212 | 99.69 157 |
|
| viewmanbaseed2359cas | | | 99.18 103 | 99.07 108 | 99.50 153 | 99.62 181 | 99.01 181 | 99.50 206 | 99.52 133 | 98.25 163 | 99.68 121 | 99.82 124 | 96.93 153 | 99.80 243 | 99.15 123 | 99.11 222 | 99.70 154 |
|
| EIA-MVS | | | 99.18 103 | 99.09 103 | 99.45 173 | 99.49 248 | 99.18 154 | 99.67 77 | 99.53 124 | 97.66 272 | 99.40 215 | 99.44 337 | 98.10 107 | 99.81 236 | 98.94 152 | 99.62 165 | 99.35 280 |
|
| 3Dnovator+ | | 97.12 13 | 99.18 103 | 98.97 145 | 99.82 57 | 99.17 347 | 99.68 64 | 99.81 20 | 99.51 159 | 99.20 34 | 98.72 354 | 99.89 45 | 95.68 230 | 99.97 29 | 98.86 169 | 99.86 86 | 99.81 79 |
|
| MVSFormer | | | 99.17 108 | 99.12 96 | 99.29 213 | 99.51 234 | 98.94 201 | 99.88 4 | 99.46 244 | 97.55 284 | 99.80 74 | 99.65 255 | 97.39 125 | 99.28 376 | 99.03 139 | 99.85 93 | 99.65 181 |
|
| sss | | | 99.17 108 | 99.05 111 | 99.53 135 | 99.62 181 | 98.97 187 | 99.36 298 | 99.62 51 | 97.83 247 | 99.67 127 | 99.65 255 | 97.37 128 | 99.95 76 | 99.19 113 | 99.19 204 | 99.68 163 |
|
| cashybrid2 | | | 99.16 110 | 99.02 126 | 99.59 114 | 99.66 150 | 99.21 151 | 99.68 73 | 99.52 133 | 98.31 150 | 99.60 162 | 99.87 74 | 95.96 210 | 99.85 190 | 99.40 72 | 99.16 206 | 99.72 138 |
|
| SSM_0404 | | | 99.16 110 | 99.06 109 | 99.44 178 | 99.65 162 | 98.96 191 | 99.49 223 | 99.50 184 | 98.14 184 | 99.62 154 | 99.85 91 | 96.85 155 | 99.85 190 | 99.19 113 | 99.26 196 | 99.52 232 |
|
| guyue | | | 99.16 110 | 99.04 113 | 99.52 142 | 99.69 128 | 98.92 207 | 99.59 128 | 98.81 437 | 98.73 103 | 99.90 34 | 99.87 74 | 95.34 243 | 99.88 168 | 99.66 40 | 99.81 120 | 99.74 118 |
|
| test_cas_vis1_n_1920 | | | 99.16 110 | 99.01 134 | 99.61 110 | 99.81 57 | 98.86 225 | 99.65 90 | 99.64 42 | 99.39 24 | 99.97 25 | 99.94 6 | 93.20 343 | 99.98 20 | 99.55 50 | 99.91 45 | 99.99 1 |
|
| DP-MVS | | | 99.16 110 | 98.95 153 | 99.78 71 | 99.77 78 | 99.53 102 | 99.41 273 | 99.50 184 | 97.03 342 | 99.04 304 | 99.88 58 | 97.39 125 | 99.92 123 | 98.66 201 | 99.90 56 | 99.87 41 |
|
| E6new | | | 99.15 115 | 99.03 116 | 99.50 153 | 99.66 150 | 98.90 213 | 99.60 117 | 99.53 124 | 98.13 187 | 99.72 104 | 99.91 26 | 96.31 190 | 99.84 200 | 99.30 93 | 99.10 230 | 99.76 107 |
|
| E6 | | | 99.15 115 | 99.03 116 | 99.50 153 | 99.66 150 | 98.90 213 | 99.60 117 | 99.53 124 | 98.13 187 | 99.72 104 | 99.91 26 | 96.31 190 | 99.84 200 | 99.30 93 | 99.10 230 | 99.76 107 |
|
| E2 | | | 99.15 115 | 99.03 116 | 99.49 160 | 99.65 162 | 98.93 206 | 99.49 223 | 99.52 133 | 98.14 184 | 99.72 104 | 99.88 58 | 96.57 176 | 99.84 200 | 99.17 119 | 99.13 215 | 99.72 138 |
|
| E3 | | | 99.15 115 | 99.03 116 | 99.49 160 | 99.62 181 | 98.91 208 | 99.49 223 | 99.52 133 | 98.13 187 | 99.72 104 | 99.88 58 | 96.61 171 | 99.84 200 | 99.17 119 | 99.13 215 | 99.72 138 |
|
| SymmetryMVS | | | 99.15 115 | 99.02 126 | 99.52 142 | 99.72 111 | 98.83 231 | 99.65 90 | 99.34 322 | 99.10 48 | 99.84 55 | 99.76 194 | 95.80 223 | 99.99 4 | 99.30 93 | 98.72 269 | 99.73 128 |
|
| MGCNet | | | 99.15 115 | 98.96 149 | 99.73 83 | 98.92 395 | 99.37 124 | 99.37 292 | 96.92 497 | 99.51 2 | 99.66 132 | 99.78 181 | 96.69 167 | 99.97 29 | 99.84 28 | 99.97 9 | 99.84 54 |
|
| casdiffmvs_mvg |  | | 99.15 115 | 99.02 126 | 99.55 126 | 99.66 150 | 99.09 168 | 99.64 98 | 99.56 89 | 98.26 158 | 99.45 194 | 99.87 74 | 96.03 207 | 99.81 236 | 99.54 51 | 99.15 211 | 99.73 128 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| baseline | | | 99.15 115 | 99.02 126 | 99.53 135 | 99.66 150 | 99.14 163 | 99.72 54 | 99.48 209 | 98.35 143 | 99.42 205 | 99.84 106 | 96.07 203 | 99.79 249 | 99.51 56 | 99.14 212 | 99.67 169 |
|
| E5new | | | 99.14 123 | 99.02 126 | 99.50 153 | 99.69 128 | 98.91 208 | 99.60 117 | 99.53 124 | 98.13 187 | 99.72 104 | 99.91 26 | 96.26 195 | 99.84 200 | 99.30 93 | 99.10 230 | 99.76 107 |
|
| E5 | | | 99.14 123 | 99.02 126 | 99.50 153 | 99.69 128 | 98.91 208 | 99.60 117 | 99.53 124 | 98.13 187 | 99.72 104 | 99.91 26 | 96.26 195 | 99.84 200 | 99.30 93 | 99.10 230 | 99.76 107 |
|
| diffmvs |  | | 99.14 123 | 99.02 126 | 99.51 147 | 99.61 192 | 98.96 191 | 99.28 330 | 99.49 197 | 98.46 129 | 99.72 104 | 99.71 218 | 96.50 179 | 99.88 168 | 99.31 90 | 99.11 222 | 99.67 169 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| CNLPA | | | 99.14 123 | 98.99 140 | 99.59 114 | 99.58 203 | 99.41 121 | 99.16 369 | 99.44 264 | 98.45 131 | 99.19 274 | 99.49 319 | 98.08 109 | 99.89 163 | 97.73 310 | 99.75 142 | 99.48 249 |
|
| hybridcas | | | 99.13 127 | 99.00 138 | 99.51 147 | 99.70 122 | 99.04 177 | 99.65 90 | 99.52 133 | 98.20 173 | 99.75 96 | 99.88 58 | 95.78 225 | 99.78 257 | 99.41 70 | 99.16 206 | 99.71 150 |
|
| E4 | | | 99.13 127 | 99.01 134 | 99.49 160 | 99.68 135 | 98.90 213 | 99.52 185 | 99.52 133 | 98.13 187 | 99.71 114 | 99.90 36 | 96.32 188 | 99.84 200 | 99.21 111 | 99.11 222 | 99.75 113 |
|
| SSM_0407 | | | 99.13 127 | 99.03 116 | 99.43 181 | 99.62 181 | 98.88 218 | 99.51 195 | 99.50 184 | 98.14 184 | 99.37 222 | 99.85 91 | 96.85 155 | 99.83 222 | 99.19 113 | 99.25 197 | 99.60 201 |
|
| CDPH-MVS | | | 99.13 127 | 98.91 162 | 99.80 64 | 99.75 92 | 99.71 58 | 99.15 372 | 99.41 280 | 96.60 376 | 99.60 162 | 99.55 296 | 98.83 47 | 99.90 148 | 97.48 337 | 99.83 113 | 99.78 98 |
|
| casdiffmvs |  | | 99.13 127 | 98.98 143 | 99.56 124 | 99.65 162 | 99.16 157 | 99.56 154 | 99.50 184 | 98.33 146 | 99.41 210 | 99.86 84 | 95.92 215 | 99.83 222 | 99.45 68 | 99.16 206 | 99.70 154 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| jason | | | 99.13 127 | 99.03 116 | 99.45 173 | 99.46 258 | 98.87 222 | 99.12 379 | 99.26 364 | 98.03 222 | 99.79 77 | 99.65 255 | 97.02 148 | 99.85 190 | 99.02 141 | 99.90 56 | 99.65 181 |
| jason: jason. |
| lupinMVS | | | 99.13 127 | 99.01 134 | 99.46 172 | 99.51 234 | 98.94 201 | 99.05 396 | 99.16 383 | 97.86 240 | 99.80 74 | 99.56 293 | 97.39 125 | 99.86 182 | 98.94 152 | 99.85 93 | 99.58 216 |
|
| EPP-MVSNet | | | 99.13 127 | 98.99 140 | 99.53 135 | 99.65 162 | 99.06 174 | 99.81 20 | 99.33 330 | 97.43 301 | 99.60 162 | 99.88 58 | 97.14 138 | 99.84 200 | 99.13 124 | 98.94 248 | 99.69 157 |
|
| MG-MVS | | | 99.13 127 | 99.02 126 | 99.45 173 | 99.57 209 | 98.63 253 | 99.07 389 | 99.34 322 | 98.99 69 | 99.61 159 | 99.82 124 | 97.98 113 | 99.87 175 | 97.00 375 | 99.80 125 | 99.85 47 |
|
| KinetiMVS | | | 99.12 136 | 98.92 158 | 99.70 87 | 99.67 138 | 99.40 122 | 99.67 77 | 99.63 46 | 98.73 103 | 99.94 28 | 99.81 139 | 94.54 297 | 99.96 41 | 98.40 240 | 99.93 32 | 99.74 118 |
|
| BP-MVS1 | | | 99.12 136 | 98.94 155 | 99.65 96 | 99.51 234 | 99.30 139 | 99.67 77 | 98.92 416 | 98.48 127 | 99.84 55 | 99.69 233 | 94.96 258 | 99.92 123 | 99.62 44 | 99.79 132 | 99.71 150 |
|
| CHOSEN 280x420 | | | 99.12 136 | 99.13 94 | 99.08 239 | 99.66 150 | 97.89 311 | 98.43 479 | 99.71 16 | 98.88 84 | 99.62 154 | 99.76 194 | 96.63 170 | 99.70 295 | 99.46 67 | 99.99 1 | 99.66 174 |
|
| DP-MVS Recon | | | 99.12 136 | 98.95 153 | 99.65 96 | 99.74 100 | 99.70 60 | 99.27 335 | 99.57 84 | 96.40 392 | 99.42 205 | 99.68 241 | 98.75 61 | 99.80 243 | 97.98 283 | 99.72 148 | 99.44 265 |
|
| Vis-MVSNet |  | | 99.12 136 | 98.97 145 | 99.56 124 | 99.78 70 | 99.10 167 | 99.68 73 | 99.66 32 | 98.49 126 | 99.86 52 | 99.87 74 | 94.77 277 | 99.84 200 | 99.19 113 | 99.41 182 | 99.74 118 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| TAMVS | | | 99.12 136 | 99.08 104 | 99.24 223 | 99.46 258 | 98.55 262 | 99.51 195 | 99.46 244 | 98.09 201 | 99.45 194 | 99.82 124 | 98.34 97 | 99.51 335 | 98.70 194 | 98.93 249 | 99.67 169 |
|
| hybrid | | | 99.11 142 | 99.01 134 | 99.41 184 | 99.64 167 | 98.76 241 | 99.35 303 | 99.52 133 | 98.31 150 | 99.80 74 | 99.84 106 | 96.16 199 | 99.79 249 | 99.40 72 | 99.06 238 | 99.68 163 |
|
| viewdifsd2359ckpt07 | | | 99.11 142 | 99.00 138 | 99.43 181 | 99.63 172 | 98.73 243 | 99.45 249 | 99.54 108 | 98.33 146 | 99.62 154 | 99.81 139 | 96.17 198 | 99.87 175 | 99.27 104 | 99.14 212 | 99.69 157 |
|
| SDMVSNet | | | 99.11 142 | 98.90 164 | 99.75 77 | 99.81 57 | 99.59 89 | 99.81 20 | 99.65 39 | 98.78 99 | 99.64 147 | 99.88 58 | 94.56 294 | 99.93 108 | 99.67 37 | 98.26 299 | 99.72 138 |
|
| VNet | | | 99.11 142 | 98.90 164 | 99.73 83 | 99.52 231 | 99.56 95 | 99.41 273 | 99.39 290 | 99.01 64 | 99.74 97 | 99.78 181 | 95.56 234 | 99.92 123 | 99.52 55 | 98.18 307 | 99.72 138 |
|
| CPTT-MVS | | | 99.11 142 | 98.90 164 | 99.74 80 | 99.80 63 | 99.46 115 | 99.59 128 | 99.49 197 | 97.03 342 | 99.63 150 | 99.69 233 | 97.27 133 | 99.96 41 | 97.82 297 | 99.84 101 | 99.81 79 |
|
| HyFIR lowres test | | | 99.11 142 | 98.92 158 | 99.65 96 | 99.90 4 | 99.37 124 | 99.02 404 | 99.91 3 | 97.67 271 | 99.59 166 | 99.75 199 | 95.90 217 | 99.73 277 | 99.53 53 | 99.02 244 | 99.86 43 |
|
| MVS_Test | | | 99.10 148 | 98.97 145 | 99.48 164 | 99.49 248 | 99.14 163 | 99.67 77 | 99.34 322 | 97.31 312 | 99.58 167 | 99.76 194 | 97.65 121 | 99.82 231 | 98.87 164 | 99.07 237 | 99.46 260 |
|
| AstraMVS | | | 99.09 149 | 99.03 116 | 99.25 220 | 99.66 150 | 98.13 293 | 99.57 146 | 98.24 474 | 98.82 90 | 99.91 31 | 99.88 58 | 95.81 222 | 99.90 148 | 99.72 32 | 99.67 158 | 99.74 118 |
|
| CDS-MVSNet | | | 99.09 149 | 99.03 116 | 99.25 220 | 99.42 268 | 98.73 243 | 99.45 249 | 99.46 244 | 98.11 197 | 99.46 193 | 99.77 190 | 98.01 112 | 99.37 359 | 98.70 194 | 98.92 251 | 99.66 174 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| viewmacassd2359aftdt | | | 99.08 151 | 98.94 155 | 99.50 153 | 99.66 150 | 98.96 191 | 99.51 195 | 99.54 108 | 98.27 155 | 99.42 205 | 99.89 45 | 95.88 219 | 99.80 243 | 99.20 112 | 99.11 222 | 99.76 107 |
|
| mamba_0408 | | | 99.08 151 | 98.96 149 | 99.44 178 | 99.62 181 | 98.88 218 | 99.25 346 | 99.47 231 | 98.05 213 | 99.37 222 | 99.81 139 | 96.85 155 | 99.85 190 | 98.98 144 | 99.25 197 | 99.60 201 |
|
| GDP-MVS | | | 99.08 151 | 98.89 168 | 99.64 102 | 99.53 225 | 99.34 128 | 99.64 98 | 99.48 209 | 98.32 148 | 99.77 86 | 99.66 253 | 95.14 254 | 99.93 108 | 98.97 149 | 99.50 176 | 99.64 188 |
|
| PVSNet_Blended | | | 99.08 151 | 98.97 145 | 99.42 183 | 99.76 82 | 98.79 237 | 98.78 446 | 99.91 3 | 96.74 361 | 99.67 127 | 99.49 319 | 97.53 122 | 99.88 168 | 98.98 144 | 99.85 93 | 99.60 201 |
|
| OMC-MVS | | | 99.08 151 | 99.04 113 | 99.20 227 | 99.67 138 | 98.22 288 | 99.28 330 | 99.52 133 | 98.07 206 | 99.66 132 | 99.81 139 | 97.79 117 | 99.78 257 | 97.79 301 | 99.81 120 | 99.60 201 |
|
| viewdifsd2359ckpt13 | | | 99.06 156 | 98.93 157 | 99.45 173 | 99.63 172 | 98.96 191 | 99.50 206 | 99.51 159 | 97.83 247 | 99.28 246 | 99.80 157 | 96.68 169 | 99.71 287 | 99.05 136 | 99.12 220 | 99.68 163 |
|
| SSM_04072 | | | 99.06 156 | 98.96 149 | 99.35 196 | 99.62 181 | 98.88 218 | 99.25 346 | 99.47 231 | 98.05 213 | 99.37 222 | 99.81 139 | 96.85 155 | 99.58 327 | 98.98 144 | 99.25 197 | 99.60 201 |
|
| mvsmamba | | | 99.06 156 | 98.96 149 | 99.36 193 | 99.47 256 | 98.64 252 | 99.70 59 | 99.05 399 | 97.61 277 | 99.65 142 | 99.83 113 | 96.54 177 | 99.92 123 | 99.19 113 | 99.62 165 | 99.51 241 |
|
| WTY-MVS | | | 99.06 156 | 98.88 171 | 99.61 110 | 99.62 181 | 99.16 157 | 99.37 292 | 99.56 89 | 98.04 220 | 99.53 181 | 99.62 272 | 96.84 159 | 99.94 91 | 98.85 171 | 98.49 284 | 99.72 138 |
|
| IS-MVSNet | | | 99.05 160 | 98.87 172 | 99.57 122 | 99.73 107 | 99.32 132 | 99.75 43 | 99.20 378 | 98.02 225 | 99.56 172 | 99.86 84 | 96.54 177 | 99.67 304 | 98.09 271 | 99.13 215 | 99.73 128 |
|
| PAPM_NR | | | 99.04 161 | 98.84 180 | 99.66 92 | 99.74 100 | 99.44 117 | 99.39 285 | 99.38 298 | 97.70 267 | 99.28 246 | 99.28 384 | 98.34 97 | 99.85 190 | 96.96 379 | 99.45 179 | 99.69 157 |
|
| API-MVS | | | 99.04 161 | 99.03 116 | 99.06 241 | 99.40 278 | 99.31 136 | 99.55 169 | 99.56 89 | 98.54 121 | 99.33 236 | 99.39 353 | 98.76 58 | 99.78 257 | 96.98 377 | 99.78 134 | 98.07 459 |
|
| dtuplus | | | 99.03 163 | 98.92 158 | 99.36 193 | 99.60 198 | 98.62 255 | 99.35 303 | 99.51 159 | 97.99 227 | 99.38 219 | 99.88 58 | 96.04 205 | 99.79 249 | 99.37 78 | 99.17 205 | 99.68 163 |
|
| mvs_anonymous | | | 99.03 163 | 98.99 140 | 99.16 231 | 99.38 284 | 98.52 268 | 99.51 195 | 99.38 298 | 97.79 253 | 99.38 219 | 99.81 139 | 97.30 131 | 99.45 341 | 99.35 80 | 98.99 246 | 99.51 241 |
|
| sasdasda | | | 99.02 165 | 98.86 175 | 99.51 147 | 99.42 268 | 99.32 132 | 99.80 25 | 99.48 209 | 98.63 111 | 99.31 238 | 98.81 437 | 97.09 143 | 99.75 268 | 99.27 104 | 97.90 318 | 99.47 255 |
|
| train_agg | | | 99.02 165 | 98.77 188 | 99.77 74 | 99.67 138 | 99.65 75 | 99.05 396 | 99.41 280 | 96.28 396 | 98.95 320 | 99.49 319 | 98.76 58 | 99.91 135 | 97.63 319 | 99.72 148 | 99.75 113 |
|
| canonicalmvs | | | 99.02 165 | 98.86 175 | 99.51 147 | 99.42 268 | 99.32 132 | 99.80 25 | 99.48 209 | 98.63 111 | 99.31 238 | 98.81 437 | 97.09 143 | 99.75 268 | 99.27 104 | 97.90 318 | 99.47 255 |
|
| balanced_ft_v1 | | | 99.02 165 | 98.98 143 | 99.15 235 | 99.39 281 | 98.12 295 | 99.79 31 | 99.51 159 | 98.20 173 | 99.66 132 | 99.87 74 | 94.84 268 | 99.93 108 | 99.69 34 | 99.84 101 | 99.41 270 |
|
| PLC |  | 97.94 4 | 99.02 165 | 98.85 178 | 99.53 135 | 99.66 150 | 99.01 181 | 99.24 351 | 99.52 133 | 96.85 354 | 99.27 252 | 99.48 327 | 98.25 101 | 99.91 135 | 97.76 306 | 99.62 165 | 99.65 181 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| viewdifsd2359ckpt09 | | | 99.01 170 | 98.87 172 | 99.40 186 | 99.62 181 | 98.79 237 | 99.44 256 | 99.51 159 | 97.76 258 | 99.35 231 | 99.69 233 | 96.42 185 | 99.75 268 | 98.97 149 | 99.11 222 | 99.66 174 |
|
| viewmambaseed2359dif | | | 99.01 170 | 98.90 164 | 99.32 203 | 99.58 203 | 98.51 270 | 99.33 310 | 99.54 108 | 97.85 243 | 99.44 199 | 99.85 91 | 96.01 208 | 99.79 249 | 99.41 70 | 99.13 215 | 99.67 169 |
|
| MGCFI-Net | | | 99.01 170 | 98.85 178 | 99.50 153 | 99.42 268 | 99.26 145 | 99.82 16 | 99.48 209 | 98.60 116 | 99.28 246 | 98.81 437 | 97.04 147 | 99.76 265 | 99.29 99 | 97.87 322 | 99.47 255 |
|
| AdaColmap |  | | 99.01 170 | 98.80 183 | 99.66 92 | 99.56 213 | 99.54 99 | 99.18 367 | 99.70 18 | 98.18 178 | 99.35 231 | 99.63 267 | 96.32 188 | 99.90 148 | 97.48 337 | 99.77 137 | 99.55 224 |
|
| 1112_ss | | | 98.98 174 | 98.77 188 | 99.59 114 | 99.68 135 | 99.02 179 | 99.25 346 | 99.48 209 | 97.23 320 | 99.13 283 | 99.58 285 | 96.93 153 | 99.90 148 | 98.87 164 | 98.78 266 | 99.84 54 |
|
| MSDG | | | 98.98 174 | 98.80 183 | 99.53 135 | 99.76 82 | 99.19 152 | 98.75 449 | 99.55 99 | 97.25 317 | 99.47 191 | 99.77 190 | 97.82 116 | 99.87 175 | 96.93 382 | 99.90 56 | 99.54 226 |
|
| casdiffseed414692147 | | | 98.97 176 | 98.78 187 | 99.53 135 | 99.66 150 | 99.16 157 | 99.61 115 | 99.52 133 | 98.01 226 | 99.21 267 | 99.88 58 | 94.82 269 | 99.70 295 | 99.29 99 | 99.04 241 | 99.74 118 |
|
| CANet_DTU | | | 98.97 176 | 98.87 172 | 99.25 220 | 99.33 297 | 98.42 281 | 99.08 388 | 99.30 349 | 99.16 37 | 99.43 202 | 99.75 199 | 95.27 246 | 99.97 29 | 98.56 221 | 99.95 22 | 99.36 279 |
|
| DPM-MVS | | | 98.95 178 | 98.71 196 | 99.66 92 | 99.63 172 | 99.55 97 | 98.64 461 | 99.10 390 | 97.93 233 | 99.42 205 | 99.55 296 | 98.67 73 | 99.80 243 | 95.80 416 | 99.68 156 | 99.61 198 |
|
| 114514_t | | | 98.93 179 | 98.67 200 | 99.72 86 | 99.85 31 | 99.53 102 | 99.62 109 | 99.59 72 | 92.65 467 | 99.71 114 | 99.78 181 | 98.06 110 | 99.90 148 | 98.84 174 | 99.91 45 | 99.74 118 |
|
| PS-MVSNAJss | | | 98.92 180 | 98.92 158 | 98.90 268 | 98.78 416 | 98.53 264 | 99.78 33 | 99.54 108 | 98.07 206 | 99.00 311 | 99.76 194 | 99.01 19 | 99.37 359 | 99.13 124 | 97.23 362 | 98.81 335 |
|
| RRT-MVS | | | 98.91 181 | 98.75 190 | 99.39 191 | 99.46 258 | 98.61 258 | 99.76 38 | 99.50 184 | 98.06 210 | 99.81 69 | 99.88 58 | 93.91 326 | 99.94 91 | 99.11 127 | 99.27 194 | 99.61 198 |
|
| Test_1112_low_res | | | 98.89 182 | 98.66 203 | 99.57 122 | 99.69 128 | 98.95 197 | 99.03 401 | 99.47 231 | 96.98 344 | 99.15 281 | 99.23 392 | 96.77 164 | 99.89 163 | 98.83 177 | 98.78 266 | 99.86 43 |
|
| Elysia | | | 98.88 183 | 98.65 205 | 99.58 118 | 99.58 203 | 99.34 128 | 99.65 90 | 99.52 133 | 98.26 158 | 99.83 64 | 99.87 74 | 93.37 337 | 99.90 148 | 97.81 299 | 99.91 45 | 99.49 246 |
|
| StellarMVS | | | 98.88 183 | 98.65 205 | 99.58 118 | 99.58 203 | 99.34 128 | 99.65 90 | 99.52 133 | 98.26 158 | 99.83 64 | 99.87 74 | 93.37 337 | 99.90 148 | 97.81 299 | 99.91 45 | 99.49 246 |
|
| test_fmvs1 | | | 98.88 183 | 98.79 186 | 99.16 231 | 99.69 128 | 97.61 326 | 99.55 169 | 99.49 197 | 99.32 30 | 99.98 13 | 99.91 26 | 91.41 393 | 99.96 41 | 99.82 29 | 99.92 38 | 99.90 27 |
|
| AllTest | | | 98.87 186 | 98.72 194 | 99.31 205 | 99.86 25 | 98.48 275 | 99.56 154 | 99.61 60 | 97.85 243 | 99.36 228 | 99.85 91 | 95.95 212 | 99.85 190 | 96.66 395 | 99.83 113 | 99.59 212 |
|
| UGNet | | | 98.87 186 | 98.69 198 | 99.40 186 | 99.22 330 | 98.72 245 | 99.44 256 | 99.68 24 | 99.24 33 | 99.18 278 | 99.42 341 | 92.74 353 | 99.96 41 | 99.34 85 | 99.94 30 | 99.53 231 |
| 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 |
| Vis-MVSNet (Re-imp) | | | 98.87 186 | 98.72 194 | 99.31 205 | 99.71 117 | 98.88 218 | 99.80 25 | 99.44 264 | 97.91 235 | 99.36 228 | 99.78 181 | 95.49 237 | 99.43 350 | 97.91 287 | 99.11 222 | 99.62 196 |
|
| IMVS_0407 | | | 98.86 189 | 98.91 162 | 98.72 303 | 99.55 217 | 96.93 366 | 99.50 206 | 99.44 264 | 98.05 213 | 99.66 132 | 99.80 157 | 97.13 139 | 99.65 312 | 98.15 266 | 98.92 251 | 99.60 201 |
|
| IMVS_0403 | | | 98.86 189 | 98.89 168 | 98.78 298 | 99.55 217 | 96.93 366 | 99.58 138 | 99.44 264 | 98.05 213 | 99.68 121 | 99.80 157 | 96.81 161 | 99.80 243 | 98.15 266 | 98.92 251 | 99.60 201 |
|
| test_yl | | | 98.86 189 | 98.63 208 | 99.54 127 | 99.49 248 | 99.18 154 | 99.50 206 | 99.07 396 | 98.22 169 | 99.61 159 | 99.51 313 | 95.37 241 | 99.84 200 | 98.60 212 | 98.33 291 | 99.59 212 |
|
| DCV-MVSNet | | | 98.86 189 | 98.63 208 | 99.54 127 | 99.49 248 | 99.18 154 | 99.50 206 | 99.07 396 | 98.22 169 | 99.61 159 | 99.51 313 | 95.37 241 | 99.84 200 | 98.60 212 | 98.33 291 | 99.59 212 |
|
| EPNet | | | 98.86 189 | 98.71 196 | 99.30 210 | 97.20 482 | 98.18 289 | 99.62 109 | 98.91 421 | 99.28 32 | 98.63 373 | 99.81 139 | 95.96 210 | 99.99 4 | 99.24 108 | 99.72 148 | 99.73 128 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| PVSNet_BlendedMVS | | | 98.86 189 | 98.80 183 | 99.03 245 | 99.76 82 | 98.79 237 | 99.28 330 | 99.91 3 | 97.42 303 | 99.67 127 | 99.37 359 | 97.53 122 | 99.88 168 | 98.98 144 | 97.29 360 | 98.42 437 |
|
| ab-mvs | | | 98.86 189 | 98.63 208 | 99.54 127 | 99.64 167 | 99.19 152 | 99.44 256 | 99.54 108 | 97.77 256 | 99.30 242 | 99.81 139 | 94.20 311 | 99.93 108 | 99.17 119 | 98.82 263 | 99.49 246 |
|
| MAR-MVS | | | 98.86 189 | 98.63 208 | 99.54 127 | 99.37 287 | 99.66 71 | 99.45 249 | 99.54 108 | 96.61 373 | 99.01 307 | 99.40 349 | 97.09 143 | 99.86 182 | 97.68 318 | 99.53 173 | 99.10 303 |
| 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 |
| COLMAP_ROB |  | 97.56 6 | 98.86 189 | 98.75 190 | 99.17 230 | 99.88 13 | 98.53 264 | 99.34 308 | 99.59 72 | 97.55 284 | 98.70 361 | 99.89 45 | 95.83 220 | 99.90 148 | 98.10 270 | 99.90 56 | 99.08 308 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| GeoE | | | 98.85 198 | 98.62 213 | 99.53 135 | 99.61 192 | 99.08 171 | 99.80 25 | 99.51 159 | 97.10 334 | 99.31 238 | 99.78 181 | 95.23 251 | 99.77 261 | 98.21 258 | 99.03 242 | 99.75 113 |
|
| HY-MVS | | 97.30 7 | 98.85 198 | 98.64 207 | 99.47 170 | 99.42 268 | 99.08 171 | 99.62 109 | 99.36 310 | 97.39 306 | 99.28 246 | 99.68 241 | 96.44 183 | 99.92 123 | 98.37 244 | 98.22 302 | 99.40 273 |
|
| PVSNet | | 96.02 17 | 98.85 198 | 98.84 180 | 98.89 272 | 99.73 107 | 97.28 336 | 98.32 485 | 99.60 67 | 97.86 240 | 99.50 186 | 99.57 290 | 96.75 165 | 99.86 182 | 98.56 221 | 99.70 152 | 99.54 226 |
|
| PatchMatch-RL | | | 98.84 201 | 98.62 213 | 99.52 142 | 99.71 117 | 99.28 142 | 99.06 393 | 99.77 12 | 97.74 262 | 99.50 186 | 99.53 305 | 95.41 239 | 99.84 200 | 97.17 367 | 99.64 162 | 99.44 265 |
|
| Effi-MVS+ | | | 98.81 202 | 98.59 219 | 99.48 164 | 99.46 258 | 99.12 166 | 98.08 496 | 99.50 184 | 97.50 292 | 99.38 219 | 99.41 345 | 96.37 187 | 99.81 236 | 99.11 127 | 98.54 281 | 99.51 241 |
|
| alignmvs | | | 98.81 202 | 98.56 222 | 99.58 118 | 99.43 266 | 99.42 119 | 99.51 195 | 98.96 411 | 98.61 114 | 99.35 231 | 98.92 432 | 94.78 274 | 99.77 261 | 99.35 80 | 98.11 312 | 99.54 226 |
|
| DeepPCF-MVS | | 98.18 3 | 98.81 202 | 99.37 43 | 97.12 438 | 99.60 198 | 91.75 480 | 98.61 463 | 99.44 264 | 99.35 27 | 99.83 64 | 99.85 91 | 98.70 70 | 99.81 236 | 99.02 141 | 99.91 45 | 99.81 79 |
|
| PMMVS | | | 98.80 205 | 98.62 213 | 99.34 197 | 99.27 315 | 98.70 246 | 98.76 448 | 99.31 344 | 97.34 309 | 99.21 267 | 99.07 408 | 97.20 137 | 99.82 231 | 98.56 221 | 98.87 258 | 99.52 232 |
|
| icg_test_0407_2 | | | 98.79 206 | 98.86 175 | 98.57 320 | 99.55 217 | 96.93 366 | 99.07 389 | 99.44 264 | 98.05 213 | 99.66 132 | 99.80 157 | 97.13 139 | 99.18 402 | 98.15 266 | 98.92 251 | 99.60 201 |
|
| viewdifsd2359ckpt11 | | | 98.78 207 | 98.74 192 | 98.89 272 | 99.67 138 | 97.04 355 | 99.50 206 | 99.58 77 | 98.26 158 | 99.56 172 | 99.90 36 | 94.36 304 | 99.87 175 | 99.49 61 | 98.32 295 | 99.77 100 |
|
| viewmsd2359difaftdt | | | 98.78 207 | 98.74 192 | 98.90 268 | 99.67 138 | 97.04 355 | 99.50 206 | 99.58 77 | 98.26 158 | 99.56 172 | 99.90 36 | 94.36 304 | 99.87 175 | 99.49 61 | 98.32 295 | 99.77 100 |
|
| Effi-MVS+-dtu | | | 98.78 207 | 98.89 168 | 98.47 338 | 99.33 297 | 96.91 371 | 99.57 146 | 99.30 349 | 98.47 128 | 99.41 210 | 98.99 422 | 96.78 163 | 99.74 271 | 98.73 191 | 99.38 183 | 98.74 350 |
|
| FIs | | | 98.78 207 | 98.63 208 | 99.23 225 | 99.18 339 | 99.54 99 | 99.83 15 | 99.59 72 | 98.28 153 | 98.79 348 | 99.81 139 | 96.75 165 | 99.37 359 | 99.08 133 | 96.38 380 | 98.78 338 |
|
| Fast-Effi-MVS+-dtu | | | 98.77 211 | 98.83 182 | 98.60 315 | 99.41 273 | 96.99 361 | 99.52 185 | 99.49 197 | 98.11 197 | 99.24 259 | 99.34 369 | 96.96 152 | 99.79 249 | 97.95 285 | 99.45 179 | 99.02 319 |
|
| sd_testset | | | 98.75 212 | 98.57 220 | 99.29 213 | 99.81 57 | 98.26 286 | 99.56 154 | 99.62 51 | 98.78 99 | 99.64 147 | 99.88 58 | 92.02 375 | 99.88 168 | 99.54 51 | 98.26 299 | 99.72 138 |
|
| FA-MVS(test-final) | | | 98.75 212 | 98.53 224 | 99.41 184 | 99.55 217 | 99.05 176 | 99.80 25 | 99.01 405 | 96.59 378 | 99.58 167 | 99.59 281 | 95.39 240 | 99.90 148 | 97.78 302 | 99.49 177 | 99.28 288 |
|
| FC-MVSNet-test | | | 98.75 212 | 98.62 213 | 99.15 235 | 99.08 366 | 99.45 116 | 99.86 11 | 99.60 67 | 98.23 168 | 98.70 361 | 99.82 124 | 96.80 162 | 99.22 394 | 99.07 134 | 96.38 380 | 98.79 336 |
|
| XVG-OURS | | | 98.73 215 | 98.68 199 | 98.88 277 | 99.70 122 | 97.73 318 | 98.92 426 | 99.55 99 | 98.52 123 | 99.45 194 | 99.84 106 | 95.27 246 | 99.91 135 | 98.08 275 | 98.84 261 | 99.00 320 |
|
| Fast-Effi-MVS+ | | | 98.70 216 | 98.43 229 | 99.51 147 | 99.51 234 | 99.28 142 | 99.52 185 | 99.47 231 | 96.11 412 | 99.01 307 | 99.34 369 | 96.20 197 | 99.84 200 | 97.88 289 | 98.82 263 | 99.39 274 |
|
| XVG-OURS-SEG-HR | | | 98.69 217 | 98.62 213 | 98.89 272 | 99.71 117 | 97.74 317 | 99.12 379 | 99.54 108 | 98.44 134 | 99.42 205 | 99.71 218 | 94.20 311 | 99.92 123 | 98.54 225 | 98.90 257 | 99.00 320 |
|
| 1314 | | | 98.68 218 | 98.54 223 | 99.11 238 | 98.89 399 | 98.65 250 | 99.27 335 | 99.49 197 | 96.89 352 | 97.99 420 | 99.56 293 | 97.72 120 | 99.83 222 | 97.74 309 | 99.27 194 | 98.84 334 |
|
| VortexMVS | | | 98.67 219 | 98.66 203 | 98.68 310 | 99.62 181 | 97.96 305 | 99.59 128 | 99.41 280 | 98.13 187 | 99.31 238 | 99.70 222 | 95.48 238 | 99.27 379 | 99.40 72 | 97.32 359 | 98.79 336 |
|
| EI-MVSNet | | | 98.67 219 | 98.67 200 | 98.68 310 | 99.35 291 | 97.97 303 | 99.50 206 | 99.38 298 | 96.93 351 | 99.20 271 | 99.83 113 | 97.87 114 | 99.36 363 | 98.38 242 | 97.56 338 | 98.71 354 |
|
| test_djsdf | | | 98.67 219 | 98.57 220 | 98.98 251 | 98.70 430 | 98.91 208 | 99.88 4 | 99.46 244 | 97.55 284 | 99.22 264 | 99.88 58 | 95.73 228 | 99.28 376 | 99.03 139 | 97.62 333 | 98.75 346 |
|
| QAPM | | | 98.67 219 | 98.30 239 | 99.80 64 | 99.20 333 | 99.67 68 | 99.77 35 | 99.72 14 | 94.74 440 | 98.73 353 | 99.90 36 | 95.78 225 | 99.98 20 | 96.96 379 | 99.88 74 | 99.76 107 |
|
| nrg030 | | | 98.64 223 | 98.42 230 | 99.28 217 | 99.05 375 | 99.69 63 | 99.81 20 | 99.46 244 | 98.04 220 | 99.01 307 | 99.82 124 | 96.69 167 | 99.38 356 | 99.34 85 | 94.59 425 | 98.78 338 |
|
| test_vis1_n_1920 | | | 98.63 224 | 98.40 232 | 99.31 205 | 99.86 25 | 97.94 310 | 99.67 77 | 99.62 51 | 99.43 19 | 99.99 2 | 99.91 26 | 87.29 449 | 100.00 1 | 99.92 24 | 99.92 38 | 99.98 2 |
|
| PAPR | | | 98.63 224 | 98.34 235 | 99.51 147 | 99.40 278 | 99.03 178 | 98.80 443 | 99.36 310 | 96.33 393 | 99.00 311 | 99.12 406 | 98.46 88 | 99.84 200 | 95.23 432 | 99.37 190 | 99.66 174 |
|
| CVMVSNet | | | 98.57 226 | 98.67 200 | 98.30 358 | 99.35 291 | 95.59 423 | 99.50 206 | 99.55 99 | 98.60 116 | 99.39 217 | 99.83 113 | 94.48 300 | 99.45 341 | 98.75 188 | 98.56 279 | 99.85 47 |
|
| IMVS_0404 | | | 98.53 227 | 98.52 225 | 98.55 326 | 99.55 217 | 96.93 366 | 99.20 363 | 99.44 264 | 98.05 213 | 98.96 318 | 99.80 157 | 94.66 289 | 99.13 410 | 98.15 266 | 98.92 251 | 99.60 201 |
|
| MVSTER | | | 98.49 228 | 98.32 237 | 99.00 249 | 99.35 291 | 99.02 179 | 99.54 174 | 99.38 298 | 97.41 304 | 99.20 271 | 99.73 211 | 93.86 328 | 99.36 363 | 98.87 164 | 97.56 338 | 98.62 398 |
|
| FE-MVS | | | 98.48 229 | 98.17 245 | 99.40 186 | 99.54 224 | 98.96 191 | 99.68 73 | 98.81 437 | 95.54 423 | 99.62 154 | 99.70 222 | 93.82 329 | 99.93 108 | 97.35 350 | 99.46 178 | 99.32 285 |
|
| OpenMVS |  | 96.50 16 | 98.47 230 | 98.12 252 | 99.52 142 | 99.04 377 | 99.53 102 | 99.82 16 | 99.72 14 | 94.56 443 | 98.08 415 | 99.88 58 | 94.73 282 | 99.98 20 | 97.47 339 | 99.76 140 | 99.06 314 |
|
| IterMVS-LS | | | 98.46 231 | 98.42 230 | 98.58 319 | 99.59 201 | 98.00 301 | 99.37 292 | 99.43 275 | 96.94 350 | 99.07 296 | 99.59 281 | 97.87 114 | 99.03 429 | 98.32 251 | 95.62 403 | 98.71 354 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| anonymousdsp | | | 98.44 232 | 98.28 240 | 98.94 258 | 98.50 451 | 98.96 191 | 99.77 35 | 99.50 184 | 97.07 336 | 98.87 333 | 99.77 190 | 94.76 278 | 99.28 376 | 98.66 201 | 97.60 334 | 98.57 419 |
|
| jajsoiax | | | 98.43 233 | 98.28 240 | 98.88 277 | 98.60 444 | 98.43 279 | 99.82 16 | 99.53 124 | 98.19 175 | 98.63 373 | 99.80 157 | 93.22 342 | 99.44 346 | 99.22 109 | 97.50 345 | 98.77 342 |
|
| tttt0517 | | | 98.42 234 | 98.14 249 | 99.28 217 | 99.66 150 | 98.38 282 | 99.74 48 | 96.85 498 | 97.68 269 | 99.79 77 | 99.74 205 | 91.39 394 | 99.89 163 | 98.83 177 | 99.56 170 | 99.57 219 |
|
| BH-untuned | | | 98.42 234 | 98.36 233 | 98.59 316 | 99.49 248 | 96.70 380 | 99.27 335 | 99.13 387 | 97.24 319 | 98.80 346 | 99.38 356 | 95.75 227 | 99.74 271 | 97.07 372 | 99.16 206 | 99.33 284 |
|
| test_fmvs1_n | | | 98.41 236 | 98.14 249 | 99.21 226 | 99.82 53 | 97.71 322 | 99.74 48 | 99.49 197 | 99.32 30 | 99.99 2 | 99.95 3 | 85.32 468 | 99.97 29 | 99.82 29 | 99.84 101 | 99.96 7 |
|
| D2MVS | | | 98.41 236 | 98.50 226 | 98.15 374 | 99.26 318 | 96.62 386 | 99.40 281 | 99.61 60 | 97.71 264 | 98.98 314 | 99.36 362 | 96.04 205 | 99.67 304 | 98.70 194 | 97.41 355 | 98.15 455 |
|
| BH-RMVSNet | | | 98.41 236 | 98.08 258 | 99.40 186 | 99.41 273 | 98.83 231 | 99.30 319 | 98.77 443 | 97.70 267 | 98.94 322 | 99.65 255 | 92.91 349 | 99.74 271 | 96.52 399 | 99.55 172 | 99.64 188 |
|
| mvs_tets | | | 98.40 239 | 98.23 243 | 98.91 266 | 98.67 435 | 98.51 270 | 99.66 84 | 99.53 124 | 98.19 175 | 98.65 370 | 99.81 139 | 92.75 351 | 99.44 346 | 99.31 90 | 97.48 349 | 98.77 342 |
|
| MonoMVSNet | | | 98.38 240 | 98.47 228 | 98.12 376 | 98.59 446 | 96.19 403 | 99.72 54 | 98.79 441 | 97.89 237 | 99.44 199 | 99.52 309 | 96.13 200 | 98.90 456 | 98.64 203 | 97.54 340 | 99.28 288 |
|
| XXY-MVS | | | 98.38 240 | 98.09 257 | 99.24 223 | 99.26 318 | 99.32 132 | 99.56 154 | 99.55 99 | 97.45 297 | 98.71 355 | 99.83 113 | 93.23 340 | 99.63 322 | 98.88 161 | 96.32 382 | 98.76 344 |
|
| dtuonly | | | 98.37 242 | 98.26 242 | 98.69 308 | 99.07 368 | 96.81 377 | 98.51 473 | 98.75 444 | 97.77 256 | 99.57 170 | 99.68 241 | 96.12 201 | 99.71 287 | 95.76 417 | 99.11 222 | 99.57 219 |
|
| ACMM | | 97.58 5 | 98.37 242 | 98.34 235 | 98.48 333 | 99.41 273 | 97.10 346 | 99.56 154 | 99.45 255 | 98.53 122 | 99.04 304 | 99.85 91 | 93.00 345 | 99.71 287 | 98.74 189 | 97.45 350 | 98.64 389 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| thisisatest0530 | | | 98.35 244 | 98.03 264 | 99.31 205 | 99.63 172 | 98.56 261 | 99.54 174 | 96.75 500 | 97.53 288 | 99.73 99 | 99.65 255 | 91.25 398 | 99.89 163 | 98.62 206 | 99.56 170 | 99.48 249 |
|
| tpmrst | | | 98.33 245 | 98.48 227 | 97.90 395 | 99.16 349 | 94.78 447 | 99.31 317 | 99.11 389 | 97.27 315 | 99.45 194 | 99.59 281 | 95.33 244 | 99.84 200 | 98.48 228 | 98.61 273 | 99.09 307 |
|
| baseline1 | | | 98.31 246 | 97.95 273 | 99.38 192 | 99.50 246 | 98.74 242 | 99.59 128 | 98.93 413 | 98.41 136 | 99.14 282 | 99.60 279 | 94.59 292 | 99.79 249 | 98.48 228 | 93.29 448 | 99.61 198 |
|
| PatchmatchNet |  | | 98.31 246 | 98.36 233 | 98.19 369 | 99.16 349 | 95.32 435 | 99.27 335 | 98.92 416 | 97.37 307 | 99.37 222 | 99.58 285 | 94.90 265 | 99.70 295 | 97.43 345 | 99.21 201 | 99.54 226 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| Anonymous202405211 | | | 98.30 248 | 97.98 269 | 99.26 219 | 99.57 209 | 98.16 290 | 99.41 273 | 98.55 465 | 96.03 417 | 99.19 274 | 99.74 205 | 91.87 378 | 99.92 123 | 99.16 122 | 98.29 298 | 99.70 154 |
|
| VPA-MVSNet | | | 98.29 249 | 97.95 273 | 99.30 210 | 99.16 349 | 99.54 99 | 99.50 206 | 99.58 77 | 98.27 155 | 99.35 231 | 99.37 359 | 92.53 363 | 99.65 312 | 99.35 80 | 94.46 426 | 98.72 352 |
|
| UniMVSNet (Re) | | | 98.29 249 | 98.00 267 | 99.13 237 | 99.00 382 | 99.36 127 | 99.49 223 | 99.51 159 | 97.95 231 | 98.97 316 | 99.13 403 | 96.30 192 | 99.38 356 | 98.36 246 | 93.34 447 | 98.66 385 |
|
| HQP_MVS | | | 98.27 251 | 98.22 244 | 98.44 344 | 99.29 310 | 96.97 363 | 99.39 285 | 99.47 231 | 98.97 76 | 99.11 287 | 99.61 276 | 92.71 356 | 99.69 301 | 97.78 302 | 97.63 331 | 98.67 376 |
|
| UniMVSNet_NR-MVSNet | | | 98.22 252 | 97.97 270 | 98.96 254 | 98.92 395 | 98.98 184 | 99.48 231 | 99.53 124 | 97.76 258 | 98.71 355 | 99.46 334 | 96.43 184 | 99.22 394 | 98.57 218 | 92.87 458 | 98.69 363 |
|
| LPG-MVS_test | | | 98.22 252 | 98.13 251 | 98.49 331 | 99.33 297 | 97.05 352 | 99.58 138 | 99.55 99 | 97.46 294 | 99.24 259 | 99.83 113 | 92.58 361 | 99.72 281 | 98.09 271 | 97.51 343 | 98.68 368 |
|
| RPSCF | | | 98.22 252 | 98.62 213 | 96.99 441 | 99.82 53 | 91.58 481 | 99.72 54 | 99.44 264 | 96.61 373 | 99.66 132 | 99.89 45 | 95.92 215 | 99.82 231 | 97.46 340 | 99.10 230 | 99.57 219 |
|
| ADS-MVSNet | | | 98.20 255 | 98.08 258 | 98.56 324 | 99.33 297 | 96.48 391 | 99.23 354 | 99.15 384 | 96.24 400 | 99.10 290 | 99.67 248 | 94.11 316 | 99.71 287 | 96.81 387 | 99.05 239 | 99.48 249 |
|
| OPM-MVS | | | 98.19 256 | 98.10 254 | 98.45 341 | 98.88 400 | 97.07 350 | 99.28 330 | 99.38 298 | 98.57 118 | 99.22 264 | 99.81 139 | 92.12 373 | 99.66 307 | 98.08 275 | 97.54 340 | 98.61 407 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| SCA | | | 98.19 256 | 98.16 246 | 98.27 364 | 99.30 306 | 95.55 424 | 99.07 389 | 98.97 409 | 97.57 281 | 99.43 202 | 99.57 290 | 92.72 354 | 99.74 271 | 97.58 323 | 99.20 203 | 99.52 232 |
|
| miper_ehance_all_eth | | | 98.18 258 | 98.10 254 | 98.41 347 | 99.23 326 | 97.72 319 | 98.72 453 | 99.31 344 | 96.60 376 | 98.88 330 | 99.29 382 | 97.29 132 | 99.13 410 | 97.60 321 | 95.99 391 | 98.38 442 |
|
| CR-MVSNet | | | 98.17 259 | 97.93 276 | 98.87 281 | 99.18 339 | 98.49 273 | 99.22 358 | 99.33 330 | 96.96 346 | 99.56 172 | 99.38 356 | 94.33 307 | 99.00 438 | 94.83 439 | 98.58 276 | 99.14 299 |
|
| miper_enhance_ethall | | | 98.16 260 | 98.08 258 | 98.41 347 | 98.96 391 | 97.72 319 | 98.45 478 | 99.32 340 | 96.95 348 | 98.97 316 | 99.17 398 | 97.06 146 | 99.22 394 | 97.86 292 | 95.99 391 | 98.29 446 |
|
| CLD-MVS | | | 98.16 260 | 98.10 254 | 98.33 354 | 99.29 310 | 96.82 376 | 98.75 449 | 99.44 264 | 97.83 247 | 99.13 283 | 99.55 296 | 92.92 347 | 99.67 304 | 98.32 251 | 97.69 329 | 98.48 429 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| thisisatest0515 | | | 98.14 262 | 97.79 290 | 99.19 228 | 99.50 246 | 98.50 272 | 98.61 463 | 96.82 499 | 96.95 348 | 99.54 179 | 99.43 339 | 91.66 387 | 99.86 182 | 98.08 275 | 99.51 174 | 99.22 296 |
|
| pmmvs4 | | | 98.13 263 | 97.90 278 | 98.81 293 | 98.61 442 | 98.87 222 | 98.99 412 | 99.21 377 | 96.44 388 | 99.06 301 | 99.58 285 | 95.90 217 | 99.11 416 | 97.18 366 | 96.11 387 | 98.46 434 |
|
| WR-MVS_H | | | 98.13 263 | 97.87 283 | 98.90 268 | 99.02 379 | 98.84 228 | 99.70 59 | 99.59 72 | 97.27 315 | 98.40 393 | 99.19 397 | 95.53 235 | 99.23 387 | 98.34 248 | 93.78 443 | 98.61 407 |
|
| c3_l | | | 98.12 265 | 98.04 263 | 98.38 351 | 99.30 306 | 97.69 323 | 98.81 442 | 99.33 330 | 96.67 366 | 98.83 341 | 99.34 369 | 97.11 142 | 98.99 440 | 97.58 323 | 95.34 410 | 98.48 429 |
|
| ACMH | | 97.28 8 | 98.10 266 | 97.99 268 | 98.44 344 | 99.41 273 | 96.96 365 | 99.60 117 | 99.56 89 | 98.09 201 | 98.15 413 | 99.91 26 | 90.87 405 | 99.70 295 | 98.88 161 | 97.45 350 | 98.67 376 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| usedtu_dtu_shiyan1 | | | 98.09 267 | 97.82 287 | 98.89 272 | 98.70 430 | 98.90 213 | 98.57 466 | 99.47 231 | 96.78 358 | 98.87 333 | 99.05 412 | 94.75 279 | 99.23 387 | 97.45 342 | 96.74 370 | 98.53 423 |
|
| FE-MVSNET3 | | | 98.09 267 | 97.82 287 | 98.89 272 | 98.70 430 | 98.90 213 | 98.57 466 | 99.47 231 | 96.78 358 | 98.87 333 | 99.05 412 | 94.75 279 | 99.23 387 | 97.45 342 | 96.74 370 | 98.53 423 |
|
| Anonymous20240529 | | | 98.09 267 | 97.68 307 | 99.34 197 | 99.66 150 | 98.44 278 | 99.40 281 | 99.43 275 | 93.67 451 | 99.22 264 | 99.89 45 | 90.23 413 | 99.93 108 | 99.26 107 | 98.33 291 | 99.66 174 |
|
| CP-MVSNet | | | 98.09 267 | 97.78 293 | 99.01 247 | 98.97 390 | 99.24 148 | 99.67 77 | 99.46 244 | 97.25 317 | 98.48 387 | 99.64 261 | 93.79 330 | 99.06 425 | 98.63 205 | 94.10 437 | 98.74 350 |
|
| dmvs_re | | | 98.08 271 | 98.16 246 | 97.85 401 | 99.55 217 | 94.67 452 | 99.70 59 | 98.92 416 | 98.15 180 | 99.06 301 | 99.35 365 | 93.67 334 | 99.25 384 | 97.77 305 | 97.25 361 | 99.64 188 |
|
| DU-MVS | | | 98.08 271 | 97.79 290 | 98.96 254 | 98.87 403 | 98.98 184 | 99.41 273 | 99.45 255 | 97.87 239 | 98.71 355 | 99.50 316 | 94.82 269 | 99.22 394 | 98.57 218 | 92.87 458 | 98.68 368 |
|
| v2v482 | | | 98.06 273 | 97.77 295 | 98.92 262 | 98.90 398 | 98.82 234 | 99.57 146 | 99.36 310 | 96.65 368 | 99.19 274 | 99.35 365 | 94.20 311 | 99.25 384 | 97.72 312 | 94.97 418 | 98.69 363 |
|
| V42 | | | 98.06 273 | 97.79 290 | 98.86 284 | 98.98 388 | 98.84 228 | 99.69 63 | 99.34 322 | 96.53 380 | 99.30 242 | 99.37 359 | 94.67 287 | 99.32 371 | 97.57 327 | 94.66 423 | 98.42 437 |
|
| test-LLR | | | 98.06 273 | 97.90 278 | 98.55 326 | 98.79 413 | 97.10 346 | 98.67 456 | 97.75 483 | 97.34 309 | 98.61 377 | 98.85 434 | 94.45 302 | 99.45 341 | 97.25 358 | 99.38 183 | 99.10 303 |
|
| WR-MVS | | | 98.06 273 | 97.73 302 | 99.06 241 | 98.86 406 | 99.25 147 | 99.19 365 | 99.35 317 | 97.30 313 | 98.66 364 | 99.43 339 | 93.94 323 | 99.21 399 | 98.58 215 | 94.28 432 | 98.71 354 |
|
| ACMP | | 97.20 11 | 98.06 273 | 97.94 275 | 98.45 341 | 99.37 287 | 97.01 359 | 99.44 256 | 99.49 197 | 97.54 287 | 98.45 390 | 99.79 174 | 91.95 377 | 99.72 281 | 97.91 287 | 97.49 348 | 98.62 398 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| eth_miper_zixun_eth | | | 98.05 278 | 97.96 271 | 98.33 354 | 99.26 318 | 97.38 333 | 98.56 470 | 99.31 344 | 96.65 368 | 98.88 330 | 99.52 309 | 96.58 174 | 99.12 415 | 97.39 347 | 95.53 407 | 98.47 431 |
|
| test1111 | | | 98.04 279 | 98.11 253 | 97.83 407 | 99.74 100 | 93.82 463 | 99.58 138 | 95.40 509 | 99.12 46 | 99.65 142 | 99.93 10 | 90.73 406 | 99.84 200 | 99.43 69 | 99.38 183 | 99.82 72 |
|
| ECVR-MVS |  | | 98.04 279 | 98.05 262 | 98.00 385 | 99.74 100 | 94.37 458 | 99.59 128 | 94.98 510 | 99.13 41 | 99.66 132 | 99.93 10 | 90.67 407 | 99.84 200 | 99.40 72 | 99.38 183 | 99.80 88 |
|
| EPNet_dtu | | | 98.03 281 | 97.96 271 | 98.23 367 | 98.27 458 | 95.54 426 | 99.23 354 | 98.75 444 | 99.02 62 | 97.82 429 | 99.71 218 | 96.11 202 | 99.48 336 | 93.04 462 | 99.65 161 | 99.69 157 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| FMVSNet3 | | | 98.03 281 | 97.76 299 | 98.84 288 | 99.39 281 | 98.98 184 | 99.40 281 | 99.38 298 | 96.67 366 | 99.07 296 | 99.28 384 | 92.93 346 | 98.98 441 | 97.10 368 | 96.65 373 | 98.56 420 |
|
| ADS-MVSNet2 | | | 98.02 283 | 98.07 261 | 97.87 397 | 99.33 297 | 95.19 438 | 99.23 354 | 99.08 393 | 96.24 400 | 99.10 290 | 99.67 248 | 94.11 316 | 98.93 453 | 96.81 387 | 99.05 239 | 99.48 249 |
|
| HQP-MVS | | | 98.02 283 | 97.90 278 | 98.37 352 | 99.19 336 | 96.83 374 | 98.98 415 | 99.39 290 | 98.24 165 | 98.66 364 | 99.40 349 | 92.47 365 | 99.64 316 | 97.19 364 | 97.58 336 | 98.64 389 |
|
| LTVRE_ROB | | 97.16 12 | 98.02 283 | 97.90 278 | 98.40 349 | 99.23 326 | 96.80 378 | 99.70 59 | 99.60 67 | 97.12 330 | 98.18 411 | 99.70 222 | 91.73 383 | 99.72 281 | 98.39 241 | 97.45 350 | 98.68 368 |
| 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 |
| cl____ | | | 98.01 286 | 97.84 286 | 98.55 326 | 99.25 322 | 97.97 303 | 98.71 454 | 99.34 322 | 96.47 387 | 98.59 380 | 99.54 301 | 95.65 231 | 99.21 399 | 97.21 360 | 95.77 397 | 98.46 434 |
|
| DIV-MVS_self_test | | | 98.01 286 | 97.85 285 | 98.48 333 | 99.24 324 | 97.95 308 | 98.71 454 | 99.35 317 | 96.50 381 | 98.60 379 | 99.54 301 | 95.72 229 | 99.03 429 | 97.21 360 | 95.77 397 | 98.46 434 |
|
| miper_lstm_enhance | | | 98.00 288 | 97.91 277 | 98.28 363 | 99.34 296 | 97.43 331 | 98.88 431 | 99.36 310 | 96.48 385 | 98.80 346 | 99.55 296 | 95.98 209 | 98.91 454 | 97.27 356 | 95.50 408 | 98.51 427 |
|
| BH-w/o | | | 98.00 288 | 97.89 282 | 98.32 356 | 99.35 291 | 96.20 402 | 99.01 409 | 98.90 423 | 96.42 390 | 98.38 394 | 99.00 420 | 95.26 248 | 99.72 281 | 96.06 409 | 98.61 273 | 99.03 317 |
|
| v1144 | | | 97.98 290 | 97.69 306 | 98.85 287 | 98.87 403 | 98.66 249 | 99.54 174 | 99.35 317 | 96.27 398 | 99.23 263 | 99.35 365 | 94.67 287 | 99.23 387 | 96.73 390 | 95.16 414 | 98.68 368 |
|
| EU-MVSNet | | | 97.98 290 | 98.03 264 | 97.81 410 | 98.72 427 | 96.65 385 | 99.66 84 | 99.66 32 | 98.09 201 | 98.35 399 | 99.82 124 | 95.25 249 | 98.01 478 | 97.41 346 | 95.30 411 | 98.78 338 |
|
| tpmvs | | | 97.98 290 | 98.02 266 | 97.84 404 | 99.04 377 | 94.73 448 | 99.31 317 | 99.20 378 | 96.10 416 | 98.76 351 | 99.42 341 | 94.94 260 | 99.81 236 | 96.97 378 | 98.45 285 | 98.97 326 |
|
| tt0805 | | | 97.97 293 | 97.77 295 | 98.57 320 | 99.59 201 | 96.61 387 | 99.45 249 | 99.08 393 | 98.21 171 | 98.88 330 | 99.80 157 | 88.66 433 | 99.70 295 | 98.58 215 | 97.72 328 | 99.39 274 |
|
| NR-MVSNet | | | 97.97 293 | 97.61 316 | 99.02 246 | 98.87 403 | 99.26 145 | 99.47 241 | 99.42 277 | 97.63 274 | 97.08 448 | 99.50 316 | 95.07 256 | 99.13 410 | 97.86 292 | 93.59 444 | 98.68 368 |
|
| v8 | | | 97.95 295 | 97.63 314 | 98.93 260 | 98.95 392 | 98.81 236 | 99.80 25 | 99.41 280 | 96.03 417 | 99.10 290 | 99.42 341 | 94.92 263 | 99.30 374 | 96.94 381 | 94.08 438 | 98.66 385 |
|
| Patchmatch-test | | | 97.93 296 | 97.65 310 | 98.77 299 | 99.18 339 | 97.07 350 | 99.03 401 | 99.14 386 | 96.16 407 | 98.74 352 | 99.57 290 | 94.56 294 | 99.72 281 | 93.36 457 | 99.11 222 | 99.52 232 |
|
| PS-CasMVS | | | 97.93 296 | 97.59 318 | 98.95 256 | 98.99 385 | 99.06 174 | 99.68 73 | 99.52 133 | 97.13 328 | 98.31 401 | 99.68 241 | 92.44 369 | 99.05 426 | 98.51 226 | 94.08 438 | 98.75 346 |
|
| TranMVSNet+NR-MVSNet | | | 97.93 296 | 97.66 309 | 98.76 300 | 98.78 416 | 98.62 255 | 99.65 90 | 99.49 197 | 97.76 258 | 98.49 386 | 99.60 279 | 94.23 310 | 98.97 448 | 98.00 282 | 92.90 456 | 98.70 359 |
|
| test_vis1_n | | | 97.92 299 | 97.44 340 | 99.34 197 | 99.53 225 | 98.08 297 | 99.74 48 | 99.49 197 | 99.15 38 | 100.00 1 | 99.94 6 | 79.51 490 | 99.98 20 | 99.88 26 | 99.76 140 | 99.97 4 |
|
| v144192 | | | 97.92 299 | 97.60 317 | 98.87 281 | 98.83 410 | 98.65 250 | 99.55 169 | 99.34 322 | 96.20 403 | 99.32 237 | 99.40 349 | 94.36 304 | 99.26 382 | 96.37 406 | 95.03 417 | 98.70 359 |
|
| ACMH+ | | 97.24 10 | 97.92 299 | 97.78 293 | 98.32 356 | 99.46 258 | 96.68 384 | 99.56 154 | 99.54 108 | 98.41 136 | 97.79 431 | 99.87 74 | 90.18 416 | 99.66 307 | 98.05 279 | 97.18 365 | 98.62 398 |
|
| LFMVS | | | 97.90 302 | 97.35 352 | 99.54 127 | 99.52 231 | 99.01 181 | 99.39 285 | 98.24 474 | 97.10 334 | 99.65 142 | 99.79 174 | 84.79 471 | 99.91 135 | 99.28 101 | 98.38 288 | 99.69 157 |
|
| reproduce_monomvs | | | 97.89 303 | 97.87 283 | 97.96 390 | 99.51 234 | 95.45 430 | 99.60 117 | 99.25 367 | 99.17 36 | 98.85 340 | 99.49 319 | 89.29 425 | 99.64 316 | 99.35 80 | 96.31 383 | 98.78 338 |
|
| Anonymous20231211 | | | 97.88 304 | 97.54 322 | 98.90 268 | 99.71 117 | 98.53 264 | 99.48 231 | 99.57 84 | 94.16 446 | 98.81 344 | 99.68 241 | 93.23 340 | 99.42 352 | 98.84 174 | 94.42 429 | 98.76 344 |
|
| OurMVSNet-221017-0 | | | 97.88 304 | 97.77 295 | 98.19 369 | 98.71 429 | 96.53 389 | 99.88 4 | 99.00 406 | 97.79 253 | 98.78 349 | 99.94 6 | 91.68 384 | 99.35 366 | 97.21 360 | 96.99 369 | 98.69 363 |
|
| v7n | | | 97.87 306 | 97.52 324 | 98.92 262 | 98.76 423 | 98.58 260 | 99.84 12 | 99.46 244 | 96.20 403 | 98.91 325 | 99.70 222 | 94.89 266 | 99.44 346 | 96.03 410 | 93.89 441 | 98.75 346 |
|
| baseline2 | | | 97.87 306 | 97.55 319 | 98.82 290 | 99.18 339 | 98.02 300 | 99.41 273 | 96.58 504 | 96.97 345 | 96.51 456 | 99.17 398 | 93.43 335 | 99.57 328 | 97.71 313 | 99.03 242 | 98.86 332 |
|
| thres600view7 | | | 97.86 308 | 97.51 326 | 98.92 262 | 99.72 111 | 97.95 308 | 99.59 128 | 98.74 448 | 97.94 232 | 99.27 252 | 98.62 445 | 91.75 381 | 99.86 182 | 93.73 452 | 98.19 306 | 98.96 328 |
|
| UBG | | | 97.85 309 | 97.48 329 | 98.95 256 | 99.25 322 | 97.64 324 | 99.24 351 | 98.74 448 | 97.90 236 | 98.64 371 | 98.20 463 | 88.65 434 | 99.81 236 | 98.27 254 | 98.40 286 | 99.42 267 |
|
| cl22 | | | 97.85 309 | 97.64 313 | 98.48 333 | 99.09 363 | 97.87 312 | 98.60 465 | 99.33 330 | 97.11 333 | 98.87 333 | 99.22 393 | 92.38 370 | 99.17 404 | 98.21 258 | 95.99 391 | 98.42 437 |
|
| v10 | | | 97.85 309 | 97.52 324 | 98.86 284 | 98.99 385 | 98.67 248 | 99.75 43 | 99.41 280 | 95.70 421 | 98.98 314 | 99.41 345 | 94.75 279 | 99.23 387 | 96.01 412 | 94.63 424 | 98.67 376 |
|
| GA-MVS | | | 97.85 309 | 97.47 332 | 99.00 249 | 99.38 284 | 97.99 302 | 98.57 466 | 99.15 384 | 97.04 341 | 98.90 327 | 99.30 380 | 89.83 419 | 99.38 356 | 96.70 392 | 98.33 291 | 99.62 196 |
|
| testing3-2 | | | 97.84 313 | 97.70 305 | 98.24 366 | 99.53 225 | 95.37 434 | 99.55 169 | 98.67 459 | 98.46 129 | 99.27 252 | 99.34 369 | 86.58 456 | 99.83 222 | 99.32 88 | 98.63 272 | 99.52 232 |
|
| tfpnnormal | | | 97.84 313 | 97.47 332 | 98.98 251 | 99.20 333 | 99.22 150 | 99.64 98 | 99.61 60 | 96.32 394 | 98.27 405 | 99.70 222 | 93.35 339 | 99.44 346 | 95.69 420 | 95.40 409 | 98.27 447 |
|
| VPNet | | | 97.84 313 | 97.44 340 | 99.01 247 | 99.21 331 | 98.94 201 | 99.48 231 | 99.57 84 | 98.38 138 | 99.28 246 | 99.73 211 | 88.89 428 | 99.39 354 | 99.19 113 | 93.27 449 | 98.71 354 |
|
| LCM-MVSNet-Re | | | 97.83 316 | 98.15 248 | 96.87 447 | 99.30 306 | 92.25 478 | 99.59 128 | 98.26 472 | 97.43 301 | 96.20 460 | 99.13 403 | 96.27 193 | 98.73 464 | 98.17 263 | 98.99 246 | 99.64 188 |
|
| XVG-ACMP-BASELINE | | | 97.83 316 | 97.71 304 | 98.20 368 | 99.11 357 | 96.33 396 | 99.41 273 | 99.52 133 | 98.06 210 | 99.05 303 | 99.50 316 | 89.64 422 | 99.73 277 | 97.73 310 | 97.38 357 | 98.53 423 |
|
| IterMVS | | | 97.83 316 | 97.77 295 | 98.02 382 | 99.58 203 | 96.27 399 | 99.02 404 | 99.48 209 | 97.22 321 | 98.71 355 | 99.70 222 | 92.75 351 | 99.13 410 | 97.46 340 | 96.00 390 | 98.67 376 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IterMVS-SCA-FT | | | 97.82 319 | 97.75 300 | 98.06 379 | 99.57 209 | 96.36 395 | 99.02 404 | 99.49 197 | 97.18 324 | 98.71 355 | 99.72 215 | 92.72 354 | 99.14 407 | 97.44 344 | 95.86 396 | 98.67 376 |
|
| EPMVS | | | 97.82 319 | 97.65 310 | 98.35 353 | 98.88 400 | 95.98 406 | 99.49 223 | 94.71 514 | 97.57 281 | 99.26 257 | 99.48 327 | 92.46 368 | 99.71 287 | 97.87 291 | 99.08 236 | 99.35 280 |
|
| MVP-Stereo | | | 97.81 321 | 97.75 300 | 97.99 386 | 97.53 474 | 96.60 388 | 98.96 419 | 98.85 432 | 97.22 321 | 97.23 442 | 99.36 362 | 95.28 245 | 99.46 339 | 95.51 424 | 99.78 134 | 97.92 472 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| v1192 | | | 97.81 321 | 97.44 340 | 98.91 266 | 98.88 400 | 98.68 247 | 99.51 195 | 99.34 322 | 96.18 405 | 99.20 271 | 99.34 369 | 94.03 320 | 99.36 363 | 95.32 430 | 95.18 413 | 98.69 363 |
|
| ttmdpeth | | | 97.80 323 | 97.63 314 | 98.29 359 | 98.77 421 | 97.38 333 | 99.64 98 | 99.36 310 | 98.78 99 | 96.30 459 | 99.58 285 | 92.34 372 | 99.39 354 | 98.36 246 | 95.58 404 | 98.10 457 |
|
| v1921920 | | | 97.80 323 | 97.45 335 | 98.84 288 | 98.80 412 | 98.53 264 | 99.52 185 | 99.34 322 | 96.15 409 | 99.24 259 | 99.47 330 | 93.98 322 | 99.29 375 | 95.40 428 | 95.13 415 | 98.69 363 |
|
| v148 | | | 97.79 325 | 97.55 319 | 98.50 330 | 98.74 424 | 97.72 319 | 99.54 174 | 99.33 330 | 96.26 399 | 98.90 327 | 99.51 313 | 94.68 286 | 99.14 407 | 97.83 296 | 93.15 453 | 98.63 396 |
|
| thres400 | | | 97.77 326 | 97.38 348 | 98.92 262 | 99.69 128 | 97.96 305 | 99.50 206 | 98.73 454 | 97.83 247 | 99.17 279 | 98.45 452 | 91.67 385 | 99.83 222 | 93.22 459 | 98.18 307 | 98.96 328 |
|
| thres100view900 | | | 97.76 327 | 97.45 335 | 98.69 308 | 99.72 111 | 97.86 314 | 99.59 128 | 98.74 448 | 97.93 233 | 99.26 257 | 98.62 445 | 91.75 381 | 99.83 222 | 93.22 459 | 98.18 307 | 98.37 443 |
|
| PEN-MVS | | | 97.76 327 | 97.44 340 | 98.72 303 | 98.77 421 | 98.54 263 | 99.78 33 | 99.51 159 | 97.06 338 | 98.29 404 | 99.64 261 | 92.63 360 | 98.89 457 | 98.09 271 | 93.16 452 | 98.72 352 |
|
| Baseline_NR-MVSNet | | | 97.76 327 | 97.45 335 | 98.68 310 | 99.09 363 | 98.29 284 | 99.41 273 | 98.85 432 | 95.65 422 | 98.63 373 | 99.67 248 | 94.82 269 | 99.10 419 | 98.07 278 | 92.89 457 | 98.64 389 |
|
| TR-MVS | | | 97.76 327 | 97.41 346 | 98.82 290 | 99.06 371 | 97.87 312 | 98.87 433 | 98.56 463 | 96.63 372 | 98.68 363 | 99.22 393 | 92.49 364 | 99.65 312 | 95.40 428 | 97.79 326 | 98.95 330 |
|
| Patchmtry | | | 97.75 331 | 97.40 347 | 98.81 293 | 99.10 360 | 98.87 222 | 99.11 385 | 99.33 330 | 94.83 438 | 98.81 344 | 99.38 356 | 94.33 307 | 99.02 433 | 96.10 408 | 95.57 405 | 98.53 423 |
|
| dp | | | 97.75 331 | 97.80 289 | 97.59 425 | 99.10 360 | 93.71 466 | 99.32 313 | 98.88 427 | 96.48 385 | 99.08 295 | 99.55 296 | 92.67 359 | 99.82 231 | 96.52 399 | 98.58 276 | 99.24 294 |
|
| WBMVS | | | 97.74 333 | 97.50 327 | 98.46 339 | 99.24 324 | 97.43 331 | 99.21 360 | 99.42 277 | 97.45 297 | 98.96 318 | 99.41 345 | 88.83 429 | 99.23 387 | 98.94 152 | 96.02 388 | 98.71 354 |
|
| TAPA-MVS | | 97.07 15 | 97.74 333 | 97.34 355 | 98.94 258 | 99.70 122 | 97.53 327 | 99.25 346 | 99.51 159 | 91.90 476 | 99.30 242 | 99.63 267 | 98.78 53 | 99.64 316 | 88.09 488 | 99.87 78 | 99.65 181 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| VDD-MVS | | | 97.73 335 | 97.35 352 | 98.88 277 | 99.47 256 | 97.12 345 | 99.34 308 | 98.85 432 | 98.19 175 | 99.67 127 | 99.85 91 | 82.98 479 | 99.92 123 | 99.49 61 | 98.32 295 | 99.60 201 |
|
| MIMVSNet | | | 97.73 335 | 97.45 335 | 98.57 320 | 99.45 264 | 97.50 329 | 99.02 404 | 98.98 408 | 96.11 412 | 99.41 210 | 99.14 402 | 90.28 409 | 98.74 463 | 95.74 418 | 98.93 249 | 99.47 255 |
|
| tfpn200view9 | | | 97.72 337 | 97.38 348 | 98.72 303 | 99.69 128 | 97.96 305 | 99.50 206 | 98.73 454 | 97.83 247 | 99.17 279 | 98.45 452 | 91.67 385 | 99.83 222 | 93.22 459 | 98.18 307 | 98.37 443 |
|
| CostFormer | | | 97.72 337 | 97.73 302 | 97.71 417 | 99.15 353 | 94.02 462 | 99.54 174 | 99.02 404 | 94.67 441 | 99.04 304 | 99.35 365 | 92.35 371 | 99.77 261 | 98.50 227 | 97.94 317 | 99.34 283 |
|
| FMVSNet2 | | | 97.72 337 | 97.36 350 | 98.80 295 | 99.51 234 | 98.84 228 | 99.45 249 | 99.42 277 | 96.49 382 | 98.86 339 | 99.29 382 | 90.26 410 | 98.98 441 | 96.44 401 | 96.56 376 | 98.58 417 |
|
| test0.0.03 1 | | | 97.71 340 | 97.42 345 | 98.56 324 | 98.41 456 | 97.82 315 | 98.78 446 | 98.63 461 | 97.34 309 | 98.05 419 | 98.98 424 | 94.45 302 | 98.98 441 | 95.04 435 | 97.15 366 | 98.89 331 |
|
| h-mvs33 | | | 97.70 341 | 97.28 365 | 98.97 253 | 99.70 122 | 97.27 337 | 99.36 298 | 99.45 255 | 98.94 79 | 99.66 132 | 99.64 261 | 94.93 261 | 99.99 4 | 99.48 64 | 84.36 493 | 99.65 181 |
|
| myMVS_eth3d28 | | | 97.69 342 | 97.34 355 | 98.73 301 | 99.27 315 | 97.52 328 | 99.33 310 | 98.78 442 | 98.03 222 | 98.82 343 | 98.49 450 | 86.64 455 | 99.46 339 | 98.44 235 | 98.24 301 | 99.23 295 |
|
| v1240 | | | 97.69 342 | 97.32 360 | 98.79 296 | 98.85 407 | 98.43 279 | 99.48 231 | 99.36 310 | 96.11 412 | 99.27 252 | 99.36 362 | 93.76 332 | 99.24 386 | 94.46 442 | 95.23 412 | 98.70 359 |
|
| cascas | | | 97.69 342 | 97.43 344 | 98.48 333 | 98.60 444 | 97.30 335 | 98.18 491 | 99.39 290 | 92.96 463 | 98.41 392 | 98.78 441 | 93.77 331 | 99.27 379 | 98.16 264 | 98.61 273 | 98.86 332 |
|
| pm-mvs1 | | | 97.68 345 | 97.28 365 | 98.88 277 | 99.06 371 | 98.62 255 | 99.50 206 | 99.45 255 | 96.32 394 | 97.87 427 | 99.79 174 | 92.47 365 | 99.35 366 | 97.54 330 | 93.54 445 | 98.67 376 |
|
| GBi-Net | | | 97.68 345 | 97.48 329 | 98.29 359 | 99.51 234 | 97.26 339 | 99.43 262 | 99.48 209 | 96.49 382 | 99.07 296 | 99.32 377 | 90.26 410 | 98.98 441 | 97.10 368 | 96.65 373 | 98.62 398 |
|
| test1 | | | 97.68 345 | 97.48 329 | 98.29 359 | 99.51 234 | 97.26 339 | 99.43 262 | 99.48 209 | 96.49 382 | 99.07 296 | 99.32 377 | 90.26 410 | 98.98 441 | 97.10 368 | 96.65 373 | 98.62 398 |
|
| tpm | | | 97.67 348 | 97.55 319 | 98.03 380 | 99.02 379 | 95.01 443 | 99.43 262 | 98.54 466 | 96.44 388 | 99.12 285 | 99.34 369 | 91.83 380 | 99.60 325 | 97.75 308 | 96.46 378 | 99.48 249 |
|
| PCF-MVS | | 97.08 14 | 97.66 349 | 97.06 378 | 99.47 170 | 99.61 192 | 99.09 168 | 98.04 497 | 99.25 367 | 91.24 480 | 98.51 384 | 99.70 222 | 94.55 296 | 99.91 135 | 92.76 467 | 99.85 93 | 99.42 267 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| WB-MVSnew | | | 97.65 350 | 97.65 310 | 97.63 420 | 98.78 416 | 97.62 325 | 99.13 376 | 98.33 470 | 97.36 308 | 99.07 296 | 98.94 428 | 95.64 232 | 99.15 405 | 92.95 463 | 98.68 271 | 96.12 503 |
|
| our_test_3 | | | 97.65 350 | 97.68 307 | 97.55 426 | 98.62 440 | 94.97 444 | 98.84 438 | 99.30 349 | 96.83 357 | 98.19 410 | 99.34 369 | 97.01 150 | 99.02 433 | 95.00 436 | 96.01 389 | 98.64 389 |
|
| testgi | | | 97.65 350 | 97.50 327 | 98.13 375 | 99.36 290 | 96.45 392 | 99.42 269 | 99.48 209 | 97.76 258 | 97.87 427 | 99.45 336 | 91.09 402 | 98.81 459 | 94.53 441 | 98.52 282 | 99.13 302 |
|
| thres200 | | | 97.61 353 | 97.28 365 | 98.62 314 | 99.64 167 | 98.03 299 | 99.26 344 | 98.74 448 | 97.68 269 | 99.09 293 | 98.32 458 | 91.66 387 | 99.81 236 | 92.88 464 | 98.22 302 | 98.03 462 |
|
| PAPM | | | 97.59 354 | 97.09 377 | 99.07 240 | 99.06 371 | 98.26 286 | 98.30 486 | 99.10 390 | 94.88 436 | 98.08 415 | 99.34 369 | 96.27 193 | 99.64 316 | 89.87 480 | 98.92 251 | 99.31 286 |
|
| UWE-MVS | | | 97.58 355 | 97.29 364 | 98.48 333 | 99.09 363 | 96.25 400 | 99.01 409 | 96.61 503 | 97.86 240 | 99.19 274 | 99.01 419 | 88.72 430 | 99.90 148 | 97.38 348 | 98.69 270 | 99.28 288 |
|
| SD_0403 | | | 97.55 356 | 97.53 323 | 97.62 421 | 99.61 192 | 93.64 469 | 99.72 54 | 99.44 264 | 98.03 222 | 98.62 376 | 99.39 353 | 96.06 204 | 99.57 328 | 87.88 490 | 99.01 245 | 99.66 174 |
|
| VDDNet | | | 97.55 356 | 97.02 379 | 99.16 231 | 99.49 248 | 98.12 295 | 99.38 290 | 99.30 349 | 95.35 425 | 99.68 121 | 99.90 36 | 82.62 481 | 99.93 108 | 99.31 90 | 98.13 311 | 99.42 267 |
|
| TESTMET0.1,1 | | | 97.55 356 | 97.27 368 | 98.40 349 | 98.93 393 | 96.53 389 | 98.67 456 | 97.61 488 | 96.96 346 | 98.64 371 | 99.28 384 | 88.63 436 | 99.45 341 | 97.30 354 | 99.38 183 | 99.21 297 |
|
| pmmvs5 | | | 97.52 359 | 97.30 362 | 98.16 371 | 98.57 447 | 96.73 379 | 99.27 335 | 98.90 423 | 96.14 410 | 98.37 395 | 99.53 305 | 91.54 390 | 99.14 407 | 97.51 334 | 95.87 395 | 98.63 396 |
|
| LF4IMVS | | | 97.52 359 | 97.46 334 | 97.70 418 | 98.98 388 | 95.55 424 | 99.29 324 | 98.82 435 | 98.07 206 | 98.66 364 | 99.64 261 | 89.97 417 | 99.61 324 | 97.01 374 | 96.68 372 | 97.94 470 |
|
| DTE-MVSNet | | | 97.51 361 | 97.19 371 | 98.46 339 | 98.63 439 | 98.13 293 | 99.84 12 | 99.48 209 | 96.68 365 | 97.97 422 | 99.67 248 | 92.92 347 | 98.56 467 | 96.88 386 | 92.60 462 | 98.70 359 |
|
| testing11 | | | 97.50 362 | 97.10 376 | 98.71 306 | 99.20 333 | 96.91 371 | 99.29 324 | 98.82 435 | 97.89 237 | 98.21 409 | 98.40 454 | 85.63 464 | 99.83 222 | 98.45 234 | 98.04 314 | 99.37 278 |
|
| ETVMVS | | | 97.50 362 | 96.90 383 | 99.29 213 | 99.23 326 | 98.78 240 | 99.32 313 | 98.90 423 | 97.52 290 | 98.56 381 | 98.09 470 | 84.72 472 | 99.69 301 | 97.86 292 | 97.88 321 | 99.39 274 |
|
| hse-mvs2 | | | 97.50 362 | 97.14 373 | 98.59 316 | 99.49 248 | 97.05 352 | 99.28 330 | 99.22 373 | 98.94 79 | 99.66 132 | 99.42 341 | 94.93 261 | 99.65 312 | 99.48 64 | 83.80 497 | 99.08 308 |
|
| SixPastTwentyTwo | | | 97.50 362 | 97.33 358 | 98.03 380 | 98.65 437 | 96.23 401 | 99.77 35 | 98.68 457 | 97.14 327 | 97.90 425 | 99.93 10 | 90.45 408 | 99.18 402 | 97.00 375 | 96.43 379 | 98.67 376 |
|
| JIA-IIPM | | | 97.50 362 | 97.02 379 | 98.93 260 | 98.73 425 | 97.80 316 | 99.30 319 | 98.97 409 | 91.73 477 | 98.91 325 | 94.86 505 | 95.10 255 | 99.71 287 | 97.58 323 | 97.98 315 | 99.28 288 |
|
| ppachtmachnet_test | | | 97.49 367 | 97.45 335 | 97.61 424 | 98.62 440 | 95.24 436 | 98.80 443 | 99.46 244 | 96.11 412 | 98.22 408 | 99.62 272 | 96.45 182 | 98.97 448 | 93.77 450 | 95.97 394 | 98.61 407 |
|
| test-mter | | | 97.49 367 | 97.13 375 | 98.55 326 | 98.79 413 | 97.10 346 | 98.67 456 | 97.75 483 | 96.65 368 | 98.61 377 | 98.85 434 | 88.23 440 | 99.45 341 | 97.25 358 | 99.38 183 | 99.10 303 |
|
| testing91 | | | 97.44 369 | 97.02 379 | 98.71 306 | 99.18 339 | 96.89 373 | 99.19 365 | 99.04 400 | 97.78 255 | 98.31 401 | 98.29 459 | 85.41 467 | 99.85 190 | 98.01 281 | 97.95 316 | 99.39 274 |
|
| tpm2 | | | 97.44 369 | 97.34 355 | 97.74 416 | 99.15 353 | 94.36 459 | 99.45 249 | 98.94 412 | 93.45 457 | 98.90 327 | 99.44 337 | 91.35 395 | 99.59 326 | 97.31 351 | 98.07 313 | 99.29 287 |
|
| tpm cat1 | | | 97.39 371 | 97.36 350 | 97.50 428 | 99.17 347 | 93.73 465 | 99.43 262 | 99.31 344 | 91.27 479 | 98.71 355 | 99.08 407 | 94.31 309 | 99.77 261 | 96.41 404 | 98.50 283 | 99.00 320 |
|
| UWE-MVS-28 | | | 97.36 372 | 97.24 369 | 97.75 414 | 98.84 409 | 94.44 456 | 99.24 351 | 97.58 490 | 97.98 229 | 99.00 311 | 99.00 420 | 91.35 395 | 99.53 334 | 93.75 451 | 98.39 287 | 99.27 292 |
|
| testing99 | | | 97.36 372 | 96.94 382 | 98.63 313 | 99.18 339 | 96.70 380 | 99.30 319 | 98.93 413 | 97.71 264 | 98.23 406 | 98.26 461 | 84.92 470 | 99.84 200 | 98.04 280 | 97.85 324 | 99.35 280 |
|
| SSC-MVS3.2 | | | 97.34 374 | 97.15 372 | 97.93 392 | 99.02 379 | 95.76 418 | 99.48 231 | 99.58 77 | 97.62 276 | 99.09 293 | 99.53 305 | 87.95 443 | 99.27 379 | 96.42 402 | 95.66 402 | 98.75 346 |
|
| USDC | | | 97.34 374 | 97.20 370 | 97.75 414 | 99.07 368 | 95.20 437 | 98.51 473 | 99.04 400 | 97.99 227 | 98.31 401 | 99.86 84 | 89.02 426 | 99.55 332 | 95.67 422 | 97.36 358 | 98.49 428 |
|
| UniMVSNet_ETH3D | | | 97.32 376 | 96.81 385 | 98.87 281 | 99.40 278 | 97.46 330 | 99.51 195 | 99.53 124 | 95.86 420 | 98.54 383 | 99.77 190 | 82.44 482 | 99.66 307 | 98.68 199 | 97.52 342 | 99.50 245 |
|
| testing3 | | | 97.28 377 | 96.76 387 | 98.82 290 | 99.37 287 | 98.07 298 | 99.45 249 | 99.36 310 | 97.56 283 | 97.89 426 | 98.95 427 | 83.70 476 | 98.82 458 | 96.03 410 | 98.56 279 | 99.58 216 |
|
| MVS | | | 97.28 377 | 96.55 391 | 99.48 164 | 98.78 416 | 98.95 197 | 99.27 335 | 99.39 290 | 83.53 500 | 98.08 415 | 99.54 301 | 96.97 151 | 99.87 175 | 94.23 446 | 99.16 206 | 99.63 193 |
|
| test_fmvs2 | | | 97.25 379 | 97.30 362 | 97.09 439 | 99.43 266 | 93.31 472 | 99.73 52 | 98.87 429 | 98.83 89 | 99.28 246 | 99.80 157 | 84.45 473 | 99.66 307 | 97.88 289 | 97.45 350 | 98.30 445 |
|
| DSMNet-mixed | | | 97.25 379 | 97.35 352 | 96.95 444 | 97.84 468 | 93.61 470 | 99.57 146 | 96.63 502 | 96.13 411 | 98.87 333 | 98.61 447 | 94.59 292 | 97.70 486 | 95.08 434 | 98.86 259 | 99.55 224 |
|
| MS-PatchMatch | | | 97.24 381 | 97.32 360 | 96.99 441 | 98.45 454 | 93.51 471 | 98.82 441 | 99.32 340 | 97.41 304 | 98.13 414 | 99.30 380 | 88.99 427 | 99.56 330 | 95.68 421 | 99.80 125 | 97.90 474 |
|
| testing222 | | | 97.16 382 | 96.50 392 | 99.16 231 | 99.16 349 | 98.47 277 | 99.27 335 | 98.66 460 | 97.71 264 | 98.23 406 | 98.15 465 | 82.28 484 | 99.84 200 | 97.36 349 | 97.66 330 | 99.18 298 |
|
| TransMVSNet (Re) | | | 97.15 383 | 96.58 390 | 98.86 284 | 99.12 355 | 98.85 226 | 99.49 223 | 98.91 421 | 95.48 424 | 97.16 446 | 99.80 157 | 93.38 336 | 99.11 416 | 94.16 448 | 91.73 466 | 98.62 398 |
|
| TinyColmap | | | 97.12 384 | 96.89 384 | 97.83 407 | 99.07 368 | 95.52 427 | 98.57 466 | 98.74 448 | 97.58 280 | 97.81 430 | 99.79 174 | 88.16 441 | 99.56 330 | 95.10 433 | 97.21 363 | 98.39 441 |
|
| K. test v3 | | | 97.10 385 | 96.79 386 | 98.01 383 | 98.72 427 | 96.33 396 | 99.87 8 | 97.05 495 | 97.59 278 | 96.16 461 | 99.80 157 | 88.71 431 | 99.04 427 | 96.69 393 | 96.55 377 | 98.65 387 |
|
| Syy-MVS | | | 97.09 386 | 97.14 373 | 96.95 444 | 99.00 382 | 92.73 476 | 99.29 324 | 99.39 290 | 97.06 338 | 97.41 436 | 98.15 465 | 93.92 325 | 98.68 465 | 91.71 473 | 98.34 289 | 99.45 263 |
|
| dtuonlycased | | | 97.04 387 | 97.33 358 | 96.16 456 | 99.08 366 | 90.59 486 | 98.79 445 | 99.38 298 | 97.19 323 | 96.91 453 | 99.49 319 | 90.22 415 | 98.75 462 | 97.04 373 | 97.89 320 | 99.14 299 |
|
| PatchT | | | 97.03 388 | 96.44 394 | 98.79 296 | 98.99 385 | 98.34 283 | 99.16 369 | 99.07 396 | 92.13 474 | 99.52 183 | 97.31 491 | 94.54 297 | 98.98 441 | 88.54 486 | 98.73 268 | 99.03 317 |
|
| mmtdpeth | | | 96.95 389 | 96.71 388 | 97.67 419 | 99.33 297 | 94.90 446 | 99.89 2 | 99.28 355 | 98.15 180 | 99.72 104 | 98.57 448 | 86.56 457 | 99.90 148 | 99.82 29 | 89.02 484 | 98.20 452 |
|
| myMVS_eth3d | | | 96.89 390 | 96.37 395 | 98.43 346 | 99.00 382 | 97.16 343 | 99.29 324 | 99.39 290 | 97.06 338 | 97.41 436 | 98.15 465 | 83.46 478 | 98.68 465 | 95.27 431 | 98.34 289 | 99.45 263 |
|
| AUN-MVS | | | 96.88 391 | 96.31 397 | 98.59 316 | 99.48 255 | 97.04 355 | 99.27 335 | 99.22 373 | 97.44 300 | 98.51 384 | 99.41 345 | 91.97 376 | 99.66 307 | 97.71 313 | 83.83 496 | 99.07 313 |
|
| FMVSNet1 | | | 96.84 392 | 96.36 396 | 98.29 359 | 99.32 304 | 97.26 339 | 99.43 262 | 99.48 209 | 95.11 429 | 98.55 382 | 99.32 377 | 83.95 475 | 98.98 441 | 95.81 415 | 96.26 384 | 98.62 398 |
|
| test2506 | | | 96.81 393 | 96.65 389 | 97.29 434 | 99.74 100 | 92.21 479 | 99.60 117 | 85.06 531 | 99.13 41 | 99.77 86 | 99.93 10 | 87.82 447 | 99.85 190 | 99.38 77 | 99.38 183 | 99.80 88 |
|
| RPMNet | | | 96.72 394 | 95.90 407 | 99.19 228 | 99.18 339 | 98.49 273 | 99.22 358 | 99.52 133 | 88.72 490 | 99.56 172 | 97.38 487 | 94.08 318 | 99.95 76 | 86.87 497 | 98.58 276 | 99.14 299 |
|
| mvs5depth | | | 96.66 395 | 96.22 399 | 97.97 388 | 97.00 487 | 96.28 398 | 98.66 459 | 99.03 403 | 96.61 373 | 96.93 452 | 99.79 174 | 87.20 450 | 99.47 337 | 96.65 397 | 94.13 435 | 98.16 454 |
|
| test_0402 | | | 96.64 396 | 96.24 398 | 97.85 401 | 98.85 407 | 96.43 393 | 99.44 256 | 99.26 364 | 93.52 454 | 96.98 450 | 99.52 309 | 88.52 437 | 99.20 401 | 92.58 470 | 97.50 345 | 97.93 471 |
|
| X-MVStestdata | | | 96.55 397 | 95.45 416 | 99.87 22 | 99.85 31 | 99.83 22 | 99.69 63 | 99.68 24 | 98.98 72 | 99.37 222 | 64.01 539 | 98.81 49 | 99.94 91 | 98.79 185 | 99.86 86 | 99.84 54 |
|
| pmmvs6 | | | 96.53 398 | 96.09 403 | 97.82 409 | 98.69 433 | 95.47 428 | 99.37 292 | 99.47 231 | 93.46 456 | 97.41 436 | 99.78 181 | 87.06 454 | 99.33 369 | 96.92 384 | 92.70 460 | 98.65 387 |
|
| ET-MVSNet_ETH3D | | | 96.49 399 | 95.64 413 | 99.05 243 | 99.53 225 | 98.82 234 | 98.84 438 | 97.51 491 | 97.63 274 | 84.77 508 | 99.21 396 | 92.09 374 | 98.91 454 | 98.98 144 | 92.21 464 | 99.41 270 |
|
| UnsupCasMVSNet_eth | | | 96.44 400 | 96.12 401 | 97.40 431 | 98.65 437 | 95.65 421 | 99.36 298 | 99.51 159 | 97.13 328 | 96.04 463 | 98.99 422 | 88.40 438 | 98.17 474 | 96.71 391 | 90.27 477 | 98.40 440 |
|
| FMVSNet5 | | | 96.43 401 | 96.19 400 | 97.15 435 | 99.11 357 | 95.89 413 | 99.32 313 | 99.52 133 | 94.47 445 | 98.34 400 | 99.07 408 | 87.54 448 | 97.07 492 | 92.61 469 | 95.72 400 | 98.47 431 |
|
| new_pmnet | | | 96.38 402 | 96.03 404 | 97.41 430 | 98.13 463 | 95.16 440 | 99.05 396 | 99.20 378 | 93.94 447 | 97.39 439 | 98.79 440 | 91.61 389 | 99.04 427 | 90.43 478 | 95.77 397 | 98.05 461 |
|
| Anonymous20231206 | | | 96.22 403 | 96.03 404 | 96.79 449 | 97.31 480 | 94.14 461 | 99.63 104 | 99.08 393 | 96.17 406 | 97.04 449 | 99.06 410 | 93.94 323 | 97.76 484 | 86.96 496 | 95.06 416 | 98.47 431 |
|
| IB-MVS | | 95.67 18 | 96.22 403 | 95.44 417 | 98.57 320 | 99.21 331 | 96.70 380 | 98.65 460 | 97.74 485 | 96.71 363 | 97.27 441 | 98.54 449 | 86.03 461 | 99.92 123 | 98.47 231 | 86.30 490 | 99.10 303 |
| 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 |
| Anonymous20240521 | | | 96.20 405 | 95.89 408 | 97.13 437 | 97.72 473 | 94.96 445 | 99.79 31 | 99.29 353 | 93.01 461 | 97.20 445 | 99.03 416 | 89.69 421 | 98.36 471 | 91.16 476 | 96.13 386 | 98.07 459 |
|
| gg-mvs-nofinetune | | | 96.17 406 | 95.32 418 | 98.73 301 | 98.79 413 | 98.14 292 | 99.38 290 | 94.09 516 | 91.07 482 | 98.07 418 | 91.04 518 | 89.62 423 | 99.35 366 | 96.75 389 | 99.09 235 | 98.68 368 |
|
| test20.03 | | | 96.12 407 | 95.96 406 | 96.63 450 | 97.44 475 | 95.45 430 | 99.51 195 | 99.38 298 | 96.55 379 | 96.16 461 | 99.25 390 | 93.76 332 | 96.17 501 | 87.35 493 | 94.22 433 | 98.27 447 |
|
| PVSNet_0 | | 94.43 19 | 96.09 408 | 95.47 415 | 97.94 391 | 99.31 305 | 94.34 460 | 97.81 501 | 99.70 18 | 97.12 330 | 97.46 435 | 98.75 442 | 89.71 420 | 99.79 249 | 97.69 317 | 81.69 505 | 99.68 163 |
|
| MVStest1 | | | 96.08 409 | 95.48 414 | 97.89 396 | 98.93 393 | 96.70 380 | 99.56 154 | 99.35 317 | 92.69 466 | 91.81 493 | 99.46 334 | 89.90 418 | 98.96 450 | 95.00 436 | 92.61 461 | 98.00 466 |
|
| EG-PatchMatch MVS | | | 95.97 410 | 95.69 411 | 96.81 448 | 97.78 470 | 92.79 475 | 99.16 369 | 98.93 413 | 96.16 407 | 94.08 479 | 99.22 393 | 82.72 480 | 99.47 337 | 95.67 422 | 97.50 345 | 98.17 453 |
|
| APD_test1 | | | 95.87 411 | 96.49 393 | 94.00 468 | 99.53 225 | 84.01 498 | 99.54 174 | 99.32 340 | 95.91 419 | 97.99 420 | 99.85 91 | 85.49 466 | 99.88 168 | 91.96 471 | 98.84 261 | 98.12 456 |
|
| Patchmatch-RL test | | | 95.84 412 | 95.81 410 | 95.95 459 | 95.61 503 | 90.57 487 | 98.24 487 | 98.39 468 | 95.10 431 | 95.20 468 | 98.67 444 | 94.78 274 | 97.77 483 | 96.28 407 | 90.02 478 | 99.51 241 |
|
| test_vis1_rt | | | 95.81 413 | 95.65 412 | 96.32 454 | 99.67 138 | 91.35 482 | 99.49 223 | 96.74 501 | 98.25 163 | 95.24 466 | 98.10 469 | 74.96 492 | 99.90 148 | 99.53 53 | 98.85 260 | 97.70 480 |
|
| sc_t1 | | | 95.75 414 | 95.05 421 | 97.87 397 | 98.83 410 | 94.61 453 | 99.21 360 | 99.45 255 | 87.45 492 | 97.97 422 | 99.85 91 | 81.19 487 | 99.43 350 | 98.27 254 | 93.20 451 | 99.57 219 |
|
| MVS-HIRNet | | | 95.75 414 | 95.16 419 | 97.51 427 | 99.30 306 | 93.69 467 | 98.88 431 | 95.78 506 | 85.09 499 | 98.78 349 | 92.65 514 | 91.29 397 | 99.37 359 | 94.85 438 | 99.85 93 | 99.46 260 |
|
| tt0320 | | | 95.71 416 | 95.07 420 | 97.62 421 | 99.05 375 | 95.02 442 | 99.25 346 | 99.52 133 | 86.81 493 | 97.97 422 | 99.72 215 | 83.58 477 | 99.15 405 | 96.38 405 | 93.35 446 | 98.68 368 |
|
| blended_shiyan8 | | | 95.56 417 | 94.79 424 | 97.87 397 | 96.60 491 | 95.90 412 | 98.85 434 | 99.27 362 | 92.19 469 | 98.47 388 | 97.94 474 | 91.43 392 | 99.11 416 | 97.26 357 | 81.09 508 | 98.60 410 |
|
| blended_shiyan6 | | | 95.54 418 | 94.78 425 | 97.84 404 | 96.60 491 | 95.89 413 | 98.85 434 | 99.28 355 | 92.17 473 | 98.43 391 | 97.95 473 | 91.44 391 | 99.02 433 | 97.30 354 | 80.97 509 | 98.60 410 |
|
| MIMVSNet1 | | | 95.51 419 | 95.04 422 | 96.92 446 | 97.38 477 | 95.60 422 | 99.52 185 | 99.50 184 | 93.65 452 | 96.97 451 | 99.17 398 | 85.28 469 | 96.56 498 | 88.36 487 | 95.55 406 | 98.60 410 |
|
| MDA-MVSNet_test_wron | | | 95.45 420 | 94.60 429 | 98.01 383 | 98.16 462 | 97.21 342 | 99.11 385 | 99.24 370 | 93.49 455 | 80.73 517 | 98.98 424 | 93.02 344 | 98.18 473 | 94.22 447 | 94.45 428 | 98.64 389 |
|
| wanda-best-256-512 | | | 95.43 421 | 94.66 427 | 97.77 412 | 96.45 493 | 95.68 419 | 98.48 475 | 99.28 355 | 92.18 471 | 98.36 396 | 97.68 479 | 91.20 399 | 99.03 429 | 97.31 351 | 80.97 509 | 98.60 410 |
|
| FE-blended-shiyan7 | | | 95.43 421 | 94.66 427 | 97.77 412 | 96.45 493 | 95.68 419 | 98.48 475 | 99.28 355 | 92.18 471 | 98.36 396 | 97.68 479 | 91.20 399 | 99.03 429 | 97.31 351 | 80.97 509 | 98.60 410 |
|
| TDRefinement | | | 95.42 423 | 94.57 432 | 97.97 388 | 89.83 533 | 96.11 405 | 99.48 231 | 98.75 444 | 96.74 361 | 96.68 455 | 99.88 58 | 88.65 434 | 99.71 287 | 98.37 244 | 82.74 503 | 98.09 458 |
|
| gbinet_0.2-2-1-0.02 | | | 95.40 424 | 94.58 431 | 97.85 401 | 96.11 498 | 95.97 407 | 98.56 470 | 99.26 364 | 92.12 475 | 98.47 388 | 97.49 485 | 90.23 413 | 99.00 438 | 97.71 313 | 81.25 506 | 98.58 417 |
|
| YYNet1 | | | 95.36 425 | 94.51 433 | 97.92 393 | 97.89 466 | 97.10 346 | 99.10 387 | 99.23 371 | 93.26 459 | 80.77 516 | 99.04 415 | 92.81 350 | 98.02 477 | 94.30 443 | 94.18 434 | 98.64 389 |
|
| pmmvs-eth3d | | | 95.34 426 | 94.73 426 | 97.15 435 | 95.53 505 | 95.94 409 | 99.35 303 | 99.10 390 | 95.13 427 | 93.55 483 | 97.54 484 | 88.15 442 | 97.91 480 | 94.58 440 | 89.69 482 | 97.61 482 |
|
| tt0320-xc | | | 95.31 427 | 94.59 430 | 97.45 429 | 98.92 395 | 94.73 448 | 99.20 363 | 99.31 344 | 86.74 494 | 97.23 442 | 99.72 215 | 81.14 488 | 98.95 451 | 97.08 371 | 91.98 465 | 98.67 376 |
|
| blend_shiyan4 | | | 95.25 428 | 94.39 435 | 97.84 404 | 96.70 490 | 95.92 410 | 98.84 438 | 99.28 355 | 92.21 468 | 98.16 412 | 97.84 476 | 87.10 453 | 99.07 422 | 97.53 331 | 81.87 504 | 98.54 421 |
|
| 0.4-1-1-0.1 | | | 95.23 429 | 94.22 437 | 98.26 365 | 97.39 476 | 95.86 415 | 97.59 505 | 97.62 486 | 93.85 449 | 94.97 473 | 97.03 493 | 87.20 450 | 99.87 175 | 98.47 231 | 83.84 495 | 99.05 315 |
|
| FE-MVSNET2 | | | 95.10 430 | 94.44 434 | 97.08 440 | 95.08 509 | 95.97 407 | 99.51 195 | 99.37 308 | 95.02 433 | 94.10 478 | 97.57 482 | 86.18 460 | 97.66 488 | 93.28 458 | 89.86 480 | 97.61 482 |
|
| usedtu_blend_shiyan5 | | | 95.04 431 | 94.10 438 | 97.86 400 | 96.45 493 | 95.92 410 | 99.29 324 | 99.22 373 | 86.17 497 | 98.36 396 | 97.68 479 | 91.20 399 | 99.07 422 | 97.53 331 | 80.97 509 | 98.60 410 |
|
| dmvs_testset | | | 95.02 432 | 96.12 401 | 91.72 478 | 99.10 360 | 80.43 511 | 99.58 138 | 97.87 482 | 97.47 293 | 95.22 467 | 98.82 436 | 93.99 321 | 95.18 506 | 88.09 488 | 94.91 421 | 99.56 223 |
|
| KD-MVS_self_test | | | 95.00 433 | 94.34 436 | 96.96 443 | 97.07 486 | 95.39 433 | 99.56 154 | 99.44 264 | 95.11 429 | 97.13 447 | 97.32 490 | 91.86 379 | 97.27 491 | 90.35 479 | 81.23 507 | 98.23 451 |
|
| MDA-MVSNet-bldmvs | | | 94.96 434 | 93.98 441 | 97.92 393 | 98.24 459 | 97.27 337 | 99.15 372 | 99.33 330 | 93.80 450 | 80.09 518 | 99.03 416 | 88.31 439 | 97.86 482 | 93.49 455 | 94.36 430 | 98.62 398 |
|
| N_pmnet | | | 94.95 435 | 95.83 409 | 92.31 476 | 98.47 452 | 79.33 515 | 99.12 379 | 92.81 522 | 93.87 448 | 97.68 432 | 99.13 403 | 93.87 327 | 99.01 436 | 91.38 475 | 96.19 385 | 98.59 416 |
|
| 0.4-1-1-0.2 | | | 94.94 436 | 93.92 443 | 97.99 386 | 96.84 489 | 95.13 441 | 96.64 511 | 97.62 486 | 93.45 457 | 94.92 474 | 96.56 497 | 87.14 452 | 99.86 182 | 98.43 238 | 83.69 499 | 98.98 324 |
|
| 0.3-1-1-0.015 | | | 94.79 437 | 93.69 449 | 98.10 377 | 96.99 488 | 95.46 429 | 97.02 509 | 97.61 488 | 93.53 453 | 94.03 480 | 96.54 498 | 85.60 465 | 99.86 182 | 98.43 238 | 83.45 500 | 98.99 323 |
|
| KD-MVS_2432*1600 | | | 94.62 438 | 93.72 446 | 97.31 432 | 97.19 483 | 95.82 416 | 98.34 482 | 99.20 378 | 95.00 434 | 97.57 433 | 98.35 456 | 87.95 443 | 98.10 475 | 92.87 465 | 77.00 518 | 98.01 463 |
|
| miper_refine_blended | | | 94.62 438 | 93.72 446 | 97.31 432 | 97.19 483 | 95.82 416 | 98.34 482 | 99.20 378 | 95.00 434 | 97.57 433 | 98.35 456 | 87.95 443 | 98.10 475 | 92.87 465 | 77.00 518 | 98.01 463 |
|
| CL-MVSNet_self_test | | | 94.49 440 | 93.97 442 | 96.08 457 | 96.16 497 | 93.67 468 | 98.33 484 | 99.38 298 | 95.13 427 | 97.33 440 | 98.15 465 | 92.69 358 | 96.57 497 | 88.67 485 | 79.87 516 | 97.99 467 |
|
| new-patchmatchnet | | | 94.48 441 | 94.08 440 | 95.67 461 | 95.08 509 | 92.41 477 | 99.18 367 | 99.28 355 | 94.55 444 | 93.49 484 | 97.37 488 | 87.86 446 | 97.01 494 | 91.57 474 | 88.36 485 | 97.61 482 |
|
| OpenMVS_ROB |  | 92.34 20 | 94.38 442 | 93.70 448 | 96.41 453 | 97.38 477 | 93.17 473 | 99.06 393 | 98.75 444 | 86.58 495 | 94.84 475 | 98.26 461 | 81.53 485 | 99.32 371 | 89.01 484 | 97.87 322 | 96.76 494 |
|
| RoMa-SfM | | | 94.36 443 | 93.86 444 | 95.88 460 | 98.61 442 | 90.62 485 | 98.85 434 | 99.04 400 | 91.63 478 | 94.14 477 | 99.49 319 | 77.16 491 | 99.09 421 | 92.66 468 | 93.13 454 | 97.91 473 |
|
| CMPMVS |  | 69.68 23 | 94.13 444 | 94.90 423 | 91.84 477 | 97.24 481 | 80.01 512 | 98.52 472 | 99.48 209 | 89.01 488 | 91.99 492 | 99.67 248 | 85.67 463 | 99.13 410 | 95.44 426 | 97.03 368 | 96.39 500 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| pmmvs3 | | | 94.09 445 | 93.25 452 | 96.60 451 | 94.76 512 | 94.49 455 | 98.92 426 | 98.18 478 | 89.66 484 | 96.48 457 | 98.06 471 | 86.28 459 | 97.33 490 | 89.68 481 | 87.20 489 | 97.97 469 |
|
| FE-MVSNET | | | 94.07 446 | 93.36 451 | 96.22 455 | 94.05 516 | 94.71 450 | 99.56 154 | 98.36 469 | 93.15 460 | 93.76 482 | 97.55 483 | 86.47 458 | 96.49 499 | 87.48 491 | 89.83 481 | 97.48 487 |
|
| mvsany_test3 | | | 93.77 447 | 93.45 450 | 94.74 466 | 95.78 501 | 88.01 492 | 99.64 98 | 98.25 473 | 98.28 153 | 94.31 476 | 97.97 472 | 68.89 507 | 98.51 469 | 97.50 335 | 90.37 475 | 97.71 477 |
|
| UnsupCasMVSNet_bld | | | 93.53 448 | 92.51 454 | 96.58 452 | 97.38 477 | 93.82 463 | 98.24 487 | 99.48 209 | 91.10 481 | 93.10 485 | 96.66 496 | 74.89 494 | 98.37 470 | 94.03 449 | 87.71 488 | 97.56 485 |
|
| dongtai | | | 93.26 449 | 92.93 453 | 94.25 467 | 99.39 281 | 85.68 496 | 97.68 503 | 93.27 518 | 92.87 464 | 96.85 454 | 99.39 353 | 82.33 483 | 97.48 489 | 76.78 510 | 97.80 325 | 99.58 216 |
|
| LoFTR | | | 93.25 450 | 92.33 456 | 95.99 458 | 97.91 464 | 90.83 483 | 99.06 393 | 98.56 463 | 92.19 469 | 90.24 497 | 98.18 464 | 72.97 495 | 99.26 382 | 89.37 482 | 92.52 463 | 97.89 475 |
|
| DKM | | | 93.17 451 | 92.50 455 | 95.21 464 | 98.53 450 | 90.26 488 | 98.74 452 | 98.90 423 | 93.00 462 | 92.61 488 | 99.06 410 | 70.06 504 | 97.74 485 | 91.92 472 | 89.65 483 | 97.62 481 |
|
| WB-MVS | | | 93.10 452 | 94.10 438 | 90.12 489 | 95.51 507 | 81.88 504 | 99.73 52 | 99.27 362 | 95.05 432 | 93.09 486 | 98.91 433 | 94.70 285 | 91.89 517 | 76.62 511 | 94.02 440 | 96.58 498 |
|
| PM-MVS | | | 92.96 453 | 92.23 457 | 95.14 465 | 95.61 503 | 89.98 490 | 99.37 292 | 98.21 476 | 94.80 439 | 95.04 472 | 97.69 478 | 65.06 510 | 97.90 481 | 94.30 443 | 89.98 479 | 97.54 486 |
|
| SSC-MVS | | | 92.73 454 | 93.73 445 | 89.72 492 | 95.02 511 | 81.38 506 | 99.76 38 | 99.23 371 | 94.87 437 | 92.80 487 | 98.93 429 | 94.71 284 | 91.37 519 | 74.49 516 | 93.80 442 | 96.42 499 |
|
| test_fmvs3 | | | 92.10 455 | 91.77 458 | 93.08 474 | 96.19 496 | 86.25 493 | 99.82 16 | 98.62 462 | 96.65 368 | 95.19 469 | 96.90 494 | 55.05 519 | 95.93 503 | 96.63 398 | 90.92 474 | 97.06 493 |
|
| MatchFormer | | | 91.94 456 | 90.72 461 | 95.58 462 | 97.82 469 | 89.79 491 | 98.92 426 | 98.87 429 | 88.24 491 | 88.03 502 | 97.92 475 | 70.39 502 | 99.23 387 | 85.21 502 | 91.12 470 | 97.72 476 |
|
| test_f | | | 91.90 457 | 91.26 460 | 93.84 470 | 95.52 506 | 85.92 494 | 99.69 63 | 98.53 467 | 95.31 426 | 93.87 481 | 96.37 500 | 55.33 518 | 98.27 472 | 95.70 419 | 90.98 473 | 97.32 489 |
|
| usedtu_dtu_shiyan2 | | | 91.34 458 | 89.96 467 | 95.47 463 | 93.61 520 | 90.81 484 | 99.15 372 | 98.68 457 | 86.37 496 | 95.19 469 | 98.27 460 | 72.64 497 | 97.05 493 | 85.40 501 | 80.32 514 | 98.54 421 |
|
| test_method | | | 91.10 459 | 91.36 459 | 90.31 486 | 95.85 500 | 73.72 524 | 94.89 513 | 99.25 367 | 68.39 515 | 95.82 464 | 99.02 418 | 80.50 489 | 98.95 451 | 93.64 453 | 94.89 422 | 98.25 449 |
|
| Gipuma |  | | 90.99 460 | 90.15 465 | 93.51 471 | 98.73 425 | 90.12 489 | 93.98 518 | 99.45 255 | 79.32 503 | 92.28 489 | 94.91 504 | 69.61 505 | 97.98 479 | 87.42 492 | 95.67 401 | 92.45 511 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| kuosan | | | 90.92 461 | 90.11 466 | 93.34 472 | 98.78 416 | 85.59 497 | 98.15 494 | 93.16 520 | 89.37 487 | 92.07 491 | 98.38 455 | 81.48 486 | 95.19 505 | 62.54 522 | 97.04 367 | 99.25 293 |
|
| SP-DiffGlue | | | 90.78 462 | 90.71 462 | 90.98 482 | 95.45 508 | 81.30 507 | 97.92 500 | 97.30 493 | 75.18 506 | 92.09 490 | 95.93 501 | 74.93 493 | 94.89 509 | 93.46 456 | 94.12 436 | 96.74 496 |
|
| testf1 | | | 90.42 463 | 90.68 463 | 89.65 493 | 97.78 470 | 73.97 522 | 99.13 376 | 98.81 437 | 89.62 485 | 91.80 494 | 98.93 429 | 62.23 514 | 98.80 460 | 86.61 498 | 91.17 468 | 96.19 501 |
|
| APD_test2 | | | 90.42 463 | 90.68 463 | 89.65 493 | 97.78 470 | 73.97 522 | 99.13 376 | 98.81 437 | 89.62 485 | 91.80 494 | 98.93 429 | 62.23 514 | 98.80 460 | 86.61 498 | 91.17 468 | 96.19 501 |
|
| ELoFTR | | | 89.95 465 | 88.65 470 | 93.85 469 | 95.93 499 | 85.85 495 | 98.64 461 | 98.31 471 | 90.34 483 | 85.03 507 | 97.76 477 | 60.28 516 | 99.01 436 | 87.27 494 | 84.26 494 | 96.71 497 |
|
| SP-LightGlue | | | 89.28 466 | 88.68 468 | 91.06 481 | 98.21 461 | 80.90 509 | 98.19 490 | 96.96 496 | 72.38 509 | 89.60 500 | 94.43 507 | 72.44 498 | 95.06 507 | 82.91 504 | 93.03 455 | 97.22 490 |
|
| SP-SuperGlue | | | 89.23 467 | 88.68 468 | 90.88 483 | 98.23 460 | 80.60 510 | 98.16 492 | 97.30 493 | 73.08 508 | 89.64 499 | 94.62 506 | 71.80 500 | 94.91 508 | 82.11 506 | 93.22 450 | 97.14 492 |
|
| SP-NN | | | 88.62 468 | 88.17 471 | 89.96 490 | 97.89 466 | 78.51 516 | 97.19 507 | 96.09 505 | 71.28 511 | 88.29 501 | 94.00 510 | 71.98 499 | 93.65 513 | 82.37 505 | 94.46 426 | 97.71 477 |
|
| SP-MNN | | | 88.33 469 | 87.78 472 | 89.95 491 | 98.28 457 | 77.92 517 | 98.01 498 | 95.69 508 | 70.61 513 | 86.18 505 | 94.36 508 | 71.09 501 | 94.76 510 | 81.51 507 | 94.32 431 | 97.17 491 |
|
| ALIKED-NN | | | 88.27 470 | 87.61 473 | 90.24 487 | 98.46 453 | 79.97 513 | 97.04 508 | 94.61 515 | 75.25 505 | 86.99 503 | 96.90 494 | 72.78 496 | 95.78 504 | 75.45 514 | 91.01 472 | 94.97 506 |
|
| ALIKED-LG | | | 88.17 471 | 87.32 474 | 90.75 484 | 98.67 435 | 81.68 505 | 98.16 492 | 94.72 513 | 78.63 504 | 86.08 506 | 97.07 492 | 70.16 503 | 96.62 496 | 71.97 518 | 90.37 475 | 93.95 508 |
|
| test_vis3_rt | | | 87.04 472 | 85.81 476 | 90.73 485 | 93.99 517 | 81.96 503 | 99.76 38 | 90.23 526 | 92.81 465 | 81.35 515 | 91.56 516 | 40.06 534 | 99.07 422 | 94.27 445 | 88.23 486 | 91.15 514 |
|
| ALIKED-MNN | | | 86.97 473 | 85.90 475 | 90.16 488 | 99.06 371 | 79.59 514 | 97.93 499 | 94.82 511 | 72.37 510 | 84.41 509 | 95.46 502 | 68.55 508 | 96.43 500 | 72.40 517 | 88.11 487 | 94.47 507 |
|
| PMMVS2 | | | 86.87 474 | 85.37 478 | 91.35 480 | 90.21 530 | 83.80 500 | 98.89 430 | 97.45 492 | 83.13 502 | 91.67 496 | 95.03 503 | 48.49 528 | 94.70 511 | 85.86 500 | 77.62 517 | 95.54 504 |
|
| LCM-MVSNet | | | 86.80 475 | 85.22 479 | 91.53 479 | 87.81 536 | 80.96 508 | 98.23 489 | 98.99 407 | 71.05 512 | 90.13 498 | 96.51 499 | 48.45 529 | 96.88 495 | 90.51 477 | 85.30 492 | 96.76 494 |
|
| FPMVS | | | 84.93 476 | 85.65 477 | 82.75 502 | 86.77 537 | 63.39 529 | 98.35 481 | 98.92 416 | 74.11 507 | 83.39 512 | 98.98 424 | 50.85 522 | 92.40 516 | 84.54 503 | 94.97 418 | 92.46 510 |
|
| PDCNetPlus | | | 84.77 477 | 83.24 480 | 89.36 495 | 94.33 515 | 83.93 499 | 98.13 495 | 76.80 536 | 83.26 501 | 86.31 504 | 97.33 489 | 62.90 512 | 92.65 514 | 87.20 495 | 62.90 522 | 91.50 513 |
|
| XFeat-NN | | | 82.84 478 | 83.12 481 | 82.00 504 | 94.35 514 | 67.14 528 | 93.32 523 | 89.27 527 | 62.21 521 | 84.06 510 | 93.50 512 | 69.15 506 | 89.40 520 | 78.92 508 | 83.33 501 | 89.46 517 |
|
| EGC-MVSNET | | | 82.80 479 | 77.86 486 | 97.62 421 | 97.91 464 | 96.12 404 | 99.33 310 | 99.28 355 | 8.40 540 | 25.05 541 | 99.27 387 | 84.11 474 | 99.33 369 | 89.20 483 | 98.22 302 | 97.42 488 |
|
| tmp_tt | | | 82.80 479 | 81.52 483 | 86.66 497 | 66.61 543 | 68.44 527 | 92.79 526 | 97.92 480 | 68.96 514 | 80.04 519 | 99.85 91 | 85.77 462 | 96.15 502 | 97.86 292 | 43.89 531 | 95.39 505 |
|
| XFeat-MNN | | | 82.40 481 | 82.10 482 | 83.31 500 | 93.04 522 | 68.49 526 | 95.39 512 | 90.86 524 | 60.29 522 | 81.56 514 | 94.09 509 | 66.79 509 | 91.70 518 | 76.62 511 | 80.26 515 | 89.74 516 |
|
| E-PMN | | | 80.61 482 | 79.88 484 | 82.81 501 | 90.75 528 | 76.38 520 | 97.69 502 | 95.76 507 | 66.44 517 | 83.52 511 | 92.25 515 | 62.54 513 | 87.16 528 | 68.53 520 | 61.40 523 | 84.89 520 |
|
| EMVS | | | 80.02 483 | 79.22 485 | 82.43 503 | 91.19 527 | 76.40 519 | 97.55 506 | 92.49 523 | 66.36 519 | 83.01 513 | 91.27 517 | 64.63 511 | 85.79 531 | 65.82 521 | 60.65 524 | 85.08 519 |
|
| GLUNet-SfM | | | 78.99 484 | 76.32 488 | 86.99 496 | 89.16 535 | 73.30 525 | 93.36 522 | 90.45 525 | 66.38 518 | 74.95 524 | 93.30 513 | 52.29 521 | 94.61 512 | 75.35 515 | 51.65 529 | 93.07 509 |
|
| ANet_high | | | 77.30 485 | 74.86 492 | 84.62 499 | 75.88 541 | 77.61 518 | 97.63 504 | 93.15 521 | 88.81 489 | 64.27 527 | 89.29 529 | 36.51 537 | 83.93 532 | 75.89 513 | 52.31 527 | 92.33 512 |
|
| SIFT-NN | | | 76.99 486 | 77.37 487 | 75.84 506 | 97.10 485 | 62.39 530 | 94.15 517 | 87.21 529 | 59.41 523 | 79.90 520 | 90.73 520 | 54.60 520 | 88.56 523 | 47.22 524 | 86.03 491 | 76.57 522 |
|
| MVE |  | 76.82 21 | 76.91 487 | 74.31 493 | 84.70 498 | 85.38 540 | 76.05 521 | 96.88 510 | 93.17 519 | 67.39 516 | 71.28 525 | 89.01 531 | 21.66 544 | 87.69 526 | 71.74 519 | 72.29 520 | 90.35 515 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| PMVS |  | 70.75 22 | 75.98 488 | 74.97 491 | 79.01 505 | 70.98 542 | 55.18 541 | 93.37 521 | 98.21 476 | 65.08 520 | 61.78 530 | 93.83 511 | 21.74 543 | 92.53 515 | 78.59 509 | 91.12 470 | 89.34 518 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| SIFT-MNN | | | 75.73 489 | 75.71 489 | 75.77 507 | 95.65 502 | 60.92 532 | 94.36 515 | 87.62 528 | 58.67 524 | 75.90 522 | 90.94 519 | 49.64 526 | 89.04 522 | 44.85 529 | 83.80 497 | 77.35 521 |
|
| SIFT-NN-NCMNet | | | 75.53 490 | 75.57 490 | 75.42 508 | 93.93 518 | 61.35 531 | 94.41 514 | 86.44 530 | 58.51 525 | 76.23 521 | 90.44 522 | 50.56 523 | 89.34 521 | 46.60 525 | 83.04 502 | 75.58 524 |
|
| SIFT-NN-CMatch | | | 72.61 491 | 71.92 494 | 74.68 509 | 92.79 523 | 60.24 534 | 93.28 524 | 81.57 534 | 58.24 527 | 75.18 523 | 90.26 524 | 49.66 525 | 87.35 527 | 46.02 526 | 60.26 525 | 76.45 523 |
|
| SIFT-NCM-Cal | | | 71.65 492 | 70.76 496 | 74.34 510 | 94.61 513 | 60.18 535 | 94.16 516 | 81.72 533 | 57.21 529 | 55.36 533 | 89.56 528 | 42.48 530 | 88.45 524 | 41.31 534 | 80.41 513 | 74.39 526 |
|
| SIFT-NN-UMatch | | | 71.65 492 | 70.86 495 | 74.00 511 | 90.69 529 | 60.53 533 | 93.59 519 | 81.89 532 | 58.42 526 | 60.99 531 | 89.71 527 | 50.18 524 | 87.89 525 | 45.77 527 | 66.55 521 | 73.57 528 |
|
| SIFT-NN-PointCN | | | 70.32 494 | 69.71 497 | 72.13 514 | 90.01 531 | 58.29 539 | 93.45 520 | 76.20 537 | 56.66 532 | 70.25 526 | 89.20 530 | 48.94 527 | 83.41 533 | 45.45 528 | 57.26 526 | 74.70 525 |
|
| SIFT-ConvMatch | | | 69.43 495 | 68.09 498 | 73.45 512 | 93.86 519 | 60.02 536 | 92.57 527 | 77.69 535 | 57.58 528 | 62.69 528 | 90.53 521 | 42.14 531 | 86.65 530 | 43.98 530 | 51.72 528 | 73.67 527 |
|
| SIFT-UMatch | | | 68.14 496 | 66.40 499 | 73.38 513 | 92.20 526 | 59.42 537 | 92.84 525 | 76.01 538 | 56.87 530 | 58.37 532 | 90.35 523 | 41.97 532 | 87.16 528 | 42.64 531 | 46.35 530 | 73.55 529 |
|
| SIFT-CM-Cal | | | 66.94 497 | 65.48 500 | 71.33 515 | 93.05 521 | 58.77 538 | 91.46 530 | 70.45 540 | 56.64 533 | 61.97 529 | 89.98 525 | 40.72 533 | 83.32 534 | 42.57 532 | 42.47 532 | 71.90 530 |
|
| SIFT-UM-Cal | | | 64.60 498 | 62.65 501 | 70.42 516 | 92.22 525 | 58.07 540 | 92.29 528 | 66.92 541 | 56.70 531 | 50.16 535 | 89.97 526 | 37.90 535 | 82.95 535 | 42.33 533 | 35.40 535 | 70.24 532 |
|
| SIFT-PointCN | | | 62.71 499 | 61.56 502 | 66.18 517 | 89.53 534 | 50.88 542 | 91.81 529 | 72.35 539 | 53.65 534 | 50.49 534 | 86.32 533 | 33.30 538 | 76.23 537 | 35.91 538 | 40.66 533 | 71.43 531 |
|
| SIFT-PCN-Cal | | | 61.29 500 | 60.21 503 | 64.54 518 | 89.88 532 | 50.56 543 | 91.21 531 | 65.73 542 | 53.15 535 | 48.59 536 | 87.20 532 | 36.60 536 | 76.52 536 | 37.37 537 | 32.17 536 | 66.54 533 |
|
| SIFT-NCMNet | | | 55.02 501 | 53.54 504 | 59.46 519 | 86.55 538 | 47.35 545 | 87.85 532 | 46.22 543 | 51.77 536 | 44.11 537 | 83.50 534 | 27.88 541 | 68.75 538 | 32.81 539 | 21.14 539 | 62.27 534 |
|
| wuyk23d | | | 40.18 502 | 41.29 507 | 36.84 520 | 86.18 539 | 49.12 544 | 79.73 533 | 22.81 545 | 27.64 537 | 25.46 540 | 28.45 540 | 21.98 542 | 48.89 539 | 55.80 523 | 23.56 538 | 12.51 537 |
|
| testmvs | | | 39.17 503 | 43.78 505 | 25.37 522 | 36.04 545 | 16.84 547 | 98.36 480 | 26.56 544 | 20.06 538 | 38.51 539 | 67.32 535 | 29.64 540 | 15.30 541 | 37.59 535 | 39.90 534 | 43.98 536 |
|
| test123 | | | 39.01 504 | 42.50 506 | 28.53 521 | 39.17 544 | 20.91 546 | 98.75 449 | 19.17 546 | 19.83 539 | 38.57 538 | 66.67 536 | 33.16 539 | 15.42 540 | 37.50 536 | 29.66 537 | 49.26 535 |
|
| cdsmvs_eth3d_5k | | | 24.64 505 | 32.85 508 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 99.51 159 | 0.00 541 | 0.00 542 | 99.56 293 | 96.58 174 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| ab-mvs-re | | | 8.30 506 | 11.06 509 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 99.58 285 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| pcd_1.5k_mvsjas | | | 8.27 507 | 11.03 510 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 99.01 19 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| test_blank | | | 0.13 508 | 0.17 511 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 1.57 541 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| mmdepth | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| monomultidepth | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| uanet_test | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| DCPMVS | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| sosnet-low-res | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| sosnet | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| uncertanet | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| Regformer | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| uanet | | | 0.02 509 | 0.03 512 | 0.00 523 | 0.00 546 | 0.00 548 | 0.00 534 | 0.00 547 | 0.00 541 | 0.00 542 | 0.27 542 | 0.00 545 | 0.00 542 | 0.00 540 | 0.00 540 | 0.00 538 |
|
| MED-MVS test | | | | | 99.87 22 | 99.88 13 | 99.81 33 | 99.69 63 | 99.87 6 | 99.34 28 | 99.90 34 | 99.83 113 | | 99.95 76 | 98.83 177 | 99.89 67 | 99.83 64 |
|
| TestfortrainingZip | | | | | 99.69 89 | 99.58 203 | 99.62 83 | 99.69 63 | 99.38 298 | 98.98 72 | 99.84 55 | 99.75 199 | 98.84 45 | 99.78 257 | | 99.21 201 | 99.66 174 |
|
| WAC-MVS | | | | | | | 97.16 343 | | | | | | | | 95.47 425 | | |
|
| FOURS1 | | | | | | 99.91 1 | 99.93 1 | 99.87 8 | 99.56 89 | 99.10 48 | 99.81 69 | | | | | | |
|
| MSC_two_6792asdad | | | | | 99.87 22 | 99.51 234 | 99.76 49 | | 99.33 330 | | | | | 99.96 41 | 98.87 164 | 99.84 101 | 99.89 30 |
|
| PC_three_1452 | | | | | | | | | | 98.18 178 | 99.84 55 | 99.70 222 | 99.31 3 | 98.52 468 | 98.30 253 | 99.80 125 | 99.81 79 |
|
| No_MVS | | | | | 99.87 22 | 99.51 234 | 99.76 49 | | 99.33 330 | | | | | 99.96 41 | 98.87 164 | 99.84 101 | 99.89 30 |
|
| test_one_0601 | | | | | | 99.81 57 | 99.88 10 | | 99.49 197 | 98.97 76 | 99.65 142 | 99.81 139 | 99.09 15 | | | | |
|
| eth-test2 | | | | | | 0.00 546 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 546 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 99.71 117 | 99.79 41 | | 99.61 60 | 96.84 355 | 99.56 172 | 99.54 301 | 98.58 79 | 99.96 41 | 96.93 382 | 99.75 142 | |
|
| RE-MVS-def | | | | 99.34 49 | | 99.76 82 | 99.82 28 | 99.63 104 | 99.52 133 | 98.38 138 | 99.76 92 | 99.82 124 | 98.75 61 | | 98.61 209 | 99.81 120 | 99.77 100 |
|
| IU-MVS | | | | | | 99.84 38 | 99.88 10 | | 99.32 340 | 98.30 152 | 99.84 55 | | | | 98.86 169 | 99.85 93 | 99.89 30 |
|
| OPU-MVS | | | | | 99.64 102 | 99.56 213 | 99.72 56 | 99.60 117 | | | | 99.70 222 | 99.27 6 | 99.42 352 | 98.24 257 | 99.80 125 | 99.79 92 |
|
| test_241102_TWO | | | | | | | | | 99.48 209 | 99.08 56 | 99.88 42 | 99.81 139 | 98.94 33 | 99.96 41 | 98.91 158 | 99.84 101 | 99.88 36 |
|
| test_241102_ONE | | | | | | 99.84 38 | 99.90 2 | | 99.48 209 | 99.07 58 | 99.91 31 | 99.74 205 | 99.20 8 | 99.76 265 | | | |
|
| 9.14 | | | | 99.10 98 | | 99.72 111 | | 99.40 281 | 99.51 159 | 97.53 288 | 99.64 147 | 99.78 181 | 98.84 45 | 99.91 135 | 97.63 319 | 99.82 117 | |
|
| save fliter | | | | | | 99.76 82 | 99.59 89 | 99.14 375 | 99.40 287 | 99.00 67 | | | | | | | |
|
| test_0728_THIRD | | | | | | | | | | 98.99 69 | 99.81 69 | 99.80 157 | 99.09 15 | 99.96 41 | 98.85 171 | 99.90 56 | 99.88 36 |
|
| test_0728_SECOND | | | | | 99.91 6 | 99.84 38 | 99.89 6 | 99.57 146 | 99.51 159 | | | | | 99.96 41 | 98.93 155 | 99.86 86 | 99.88 36 |
|
| test0726 | | | | | | 99.85 31 | 99.89 6 | 99.62 109 | 99.50 184 | 99.10 48 | 99.86 52 | 99.82 124 | 98.94 33 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 99.52 232 |
|
| test_part2 | | | | | | 99.81 57 | 99.83 22 | | | | 99.77 86 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 94.86 267 | | | | 99.52 232 |
|
| sam_mvs | | | | | | | | | | | | | 94.72 283 | | | | |
|
| ambc | | | | | 93.06 475 | 92.68 524 | 82.36 501 | 98.47 477 | 98.73 454 | | 95.09 471 | 97.41 486 | 55.55 517 | 99.10 419 | 96.42 402 | 91.32 467 | 97.71 477 |
|
| MTGPA |  | | | | | | | | 99.47 231 | | | | | | | | |
|
| test_post1 | | | | | | | | 99.23 354 | | | | 65.14 538 | 94.18 314 | 99.71 287 | 97.58 323 | | |
|
| test_post | | | | | | | | | | | | 65.99 537 | 94.65 290 | 99.73 277 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 98.70 443 | 94.79 273 | 99.74 271 | | | |
|
| GG-mvs-BLEND | | | | | 98.45 341 | 98.55 448 | 98.16 290 | 99.43 262 | 93.68 517 | | 97.23 442 | 98.46 451 | 89.30 424 | 99.22 394 | 95.43 427 | 98.22 302 | 97.98 468 |
|
| MTMP | | | | | | | | 99.54 174 | 98.88 427 | | | | | | | | |
|
| gm-plane-assit | | | | | | 98.54 449 | 92.96 474 | | | 94.65 442 | | 99.15 401 | | 99.64 316 | 97.56 328 | | |
|
| test9_res | | | | | | | | | | | | | | | 97.49 336 | 99.72 148 | 99.75 113 |
|
| TEST9 | | | | | | 99.67 138 | 99.65 75 | 99.05 396 | 99.41 280 | 96.22 402 | 98.95 320 | 99.49 319 | 98.77 57 | 99.91 135 | | | |
|
| test_8 | | | | | | 99.67 138 | 99.61 86 | 99.03 401 | 99.41 280 | 96.28 396 | 98.93 323 | 99.48 327 | 98.76 58 | 99.91 135 | | | |
|
| agg_prior2 | | | | | | | | | | | | | | | 97.21 360 | 99.73 147 | 99.75 113 |
|
| agg_prior | | | | | | 99.67 138 | 99.62 83 | | 99.40 287 | | 98.87 333 | | | 99.91 135 | | | |
|
| TestCases | | | | | 99.31 205 | 99.86 25 | 98.48 275 | | 99.61 60 | 97.85 243 | 99.36 228 | 99.85 91 | 95.95 212 | 99.85 190 | 96.66 395 | 99.83 113 | 99.59 212 |
|
| test_prior4 | | | | | | | 99.56 95 | 98.99 412 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 98.96 419 | | 98.34 144 | 99.01 307 | 99.52 309 | 98.68 71 | | 97.96 284 | 99.74 145 | |
|
| test_prior | | | | | 99.68 90 | 99.67 138 | 99.48 112 | | 99.56 89 | | | | | 99.83 222 | | | 99.74 118 |
|
| 旧先验2 | | | | | | | | 98.96 419 | | 96.70 364 | 99.47 191 | | | 99.94 91 | 98.19 260 | | |
|
| æ–°å‡ ä½•2 | | | | | | | | 99.01 409 | | | | | | | | | |
|
| æ–°å‡ ä½•1 | | | | | 99.75 77 | 99.75 92 | 99.59 89 | | 99.54 108 | 96.76 360 | 99.29 245 | 99.64 261 | 98.43 90 | 99.94 91 | 96.92 384 | 99.66 159 | 99.72 138 |
|
| 旧先验1 | | | | | | 99.74 100 | 99.59 89 | | 99.54 108 | | | 99.69 233 | 98.47 87 | | | 99.68 156 | 99.73 128 |
|
| æ— å…ˆéªŒ | | | | | | | | 98.99 412 | 99.51 159 | 96.89 352 | | | | 99.93 108 | 97.53 331 | | 99.72 138 |
|
| 原ACMM2 | | | | | | | | 98.95 422 | | | | | | | | | |
|
| 原ACMM1 | | | | | 99.65 96 | 99.73 107 | 99.33 131 | | 99.47 231 | 97.46 294 | 99.12 285 | 99.66 253 | 98.67 73 | 99.91 135 | 97.70 316 | 99.69 153 | 99.71 150 |
|
| test222 | | | | | | 99.75 92 | 99.49 110 | 98.91 429 | 99.49 197 | 96.42 390 | 99.34 235 | 99.65 255 | 98.28 100 | | | 99.69 153 | 99.72 138 |
|
| testdata2 | | | | | | | | | | | | | | 99.95 76 | 96.67 394 | | |
|
| segment_acmp | | | | | | | | | | | | | 98.96 26 | | | | |
|
| testdata | | | | | 99.54 127 | 99.75 92 | 98.95 197 | | 99.51 159 | 97.07 336 | 99.43 202 | 99.70 222 | 98.87 41 | 99.94 91 | 97.76 306 | 99.64 162 | 99.72 138 |
|
| testdata1 | | | | | | | | 98.85 434 | | 98.32 148 | | | | | | | |
|
| test12 | | | | | 99.75 77 | 99.64 167 | 99.61 86 | | 99.29 353 | | 99.21 267 | | 98.38 95 | 99.89 163 | | 99.74 145 | 99.74 118 |
|
| plane_prior7 | | | | | | 99.29 310 | 97.03 358 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 99.27 315 | 96.98 362 | | | | | | 92.71 356 | | | | |
|
| plane_prior5 | | | | | | | | | 99.47 231 | | | | | 99.69 301 | 97.78 302 | 97.63 331 | 98.67 376 |
|
| plane_prior4 | | | | | | | | | | | | 99.61 276 | | | | | |
|
| plane_prior3 | | | | | | | 97.00 360 | | | 98.69 108 | 99.11 287 | | | | | | |
|
| plane_prior2 | | | | | | | | 99.39 285 | | 98.97 76 | | | | | | | |
|
| plane_prior1 | | | | | | 99.26 318 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 96.97 363 | 99.21 360 | | 98.45 131 | | | | | | 97.60 334 | |
|
| n2 | | | | | | | | | 0.00 547 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 547 | | | | | | | | |
|
| door-mid | | | | | | | | | 98.05 479 | | | | | | | | |
|
| lessismore_v0 | | | | | 97.79 411 | 98.69 433 | 95.44 432 | | 94.75 512 | | 95.71 465 | 99.87 74 | 88.69 432 | 99.32 371 | 95.89 413 | 94.93 420 | 98.62 398 |
|
| LGP-MVS_train | | | | | 98.49 331 | 99.33 297 | 97.05 352 | | 99.55 99 | 97.46 294 | 99.24 259 | 99.83 113 | 92.58 361 | 99.72 281 | 98.09 271 | 97.51 343 | 98.68 368 |
|
| test11 | | | | | | | | | 99.35 317 | | | | | | | | |
|
| door | | | | | | | | | 97.92 480 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 96.83 374 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 99.19 336 | | 98.98 415 | | 98.24 165 | 98.66 364 | | | | | | |
|
| ACMP_Plane | | | | | | 99.19 336 | | 98.98 415 | | 98.24 165 | 98.66 364 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 97.19 364 | | |
|
| HQP4-MVS | | | | | | | | | | | 98.66 364 | | | 99.64 316 | | | 98.64 389 |
|
| HQP3-MVS | | | | | | | | | 99.39 290 | | | | | | | 97.58 336 | |
|
| HQP2-MVS | | | | | | | | | | | | | 92.47 365 | | | | |
|
| NP-MVS | | | | | | 99.23 326 | 96.92 370 | | | | | 99.40 349 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 95.18 439 | 99.35 303 | | 96.84 355 | 99.58 167 | | 95.19 252 | | 97.82 297 | | 99.46 260 |
|
| MDTV_nov1_ep13 | | | | 98.32 237 | | 99.11 357 | 94.44 456 | 99.27 335 | 98.74 448 | 97.51 291 | 99.40 215 | 99.62 272 | 94.78 274 | 99.76 265 | 97.59 322 | 98.81 265 | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 364 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 97.43 354 | |
|
| Test By Simon | | | | | | | | | | | | | 98.75 61 | | | | |
|
| ITE_SJBPF | | | | | 98.08 378 | 99.29 310 | 96.37 394 | | 98.92 416 | 98.34 144 | 98.83 341 | 99.75 199 | 91.09 402 | 99.62 323 | 95.82 414 | 97.40 356 | 98.25 449 |
|
| DeepMVS_CX |  | | | | 93.34 472 | 99.29 310 | 82.27 502 | | 99.22 373 | 85.15 498 | 96.33 458 | 99.05 412 | 90.97 404 | 99.73 277 | 93.57 454 | 97.77 327 | 98.01 463 |
|