| MED-MVS test | | | | | 99.99 13 | 100.00 1 | 99.98 18 | 100.00 1 | 99.95 19 | 99.10 10 | 99.99 127 | 100.00 1 | | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| MED-MVS | | | 99.88 2 | 99.84 3 | 99.99 13 | 100.00 1 | 99.98 18 | 100.00 1 | 99.95 19 | 99.05 17 | 99.99 127 | 100.00 1 | 99.58 27 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| TestfortrainingZip a | | | 99.86 4 | 99.81 6 | 99.99 13 | 100.00 1 | 99.98 18 | 100.00 1 | 99.95 19 | 99.10 10 | 99.99 127 | 100.00 1 | 99.58 27 | 100.00 1 | 99.68 180 | 100.00 1 | 100.00 1 |
|
| TestfortrainingZip | | | | | 100.00 1 | 99.99 52 | 100.00 1 | 100.00 1 | 99.95 19 | 99.03 25 | 100.00 1 | 100.00 1 | 99.59 24 | 100.00 1 | | 100.00 1 | 100.00 1 |
|
| fmvsm_s_conf0.5_n_10 | | | 99.08 143 | 98.78 170 | 99.97 40 | 99.84 130 | 99.92 59 | 100.00 1 | 99.28 290 | 98.93 49 | 100.00 1 | 100.00 1 | 91.07 342 | 99.99 107 | 100.00 1 | 99.95 127 | 100.00 1 |
|
| fmvsm_l_conf0.5_n_9 | | | 99.35 101 | 99.15 123 | 99.95 61 | 99.83 134 | 99.84 95 | 100.00 1 | 99.30 273 | 98.92 52 | 100.00 1 | 100.00 1 | 94.32 281 | 100.00 1 | 100.00 1 | 99.93 137 | 100.00 1 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.04 150 | 98.78 170 | 99.81 117 | 99.86 126 | 99.44 164 | 100.00 1 | 99.32 258 | 98.94 45 | 100.00 1 | 100.00 1 | 91.00 345 | 99.99 107 | 100.00 1 | 99.94 133 | 100.00 1 |
|
| ME-MVS | | | 99.87 3 | 99.83 4 | 99.99 13 | 99.99 52 | 99.98 18 | 100.00 1 | 99.95 19 | 99.05 17 | 100.00 1 | 100.00 1 | 99.50 44 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| lecture | | | 99.64 54 | 99.53 65 | 99.98 28 | 99.99 52 | 99.93 52 | 100.00 1 | 99.47 84 | 98.53 94 | 100.00 1 | 100.00 1 | 97.88 171 | 100.00 1 | 99.98 91 | 99.92 140 | 100.00 1 |
|
| fmvsm_s_conf0.5_n_8 | | | 99.34 105 | 99.14 125 | 99.91 83 | 99.83 134 | 99.74 111 | 100.00 1 | 99.38 224 | 98.94 45 | 100.00 1 | 100.00 1 | 94.25 283 | 99.99 107 | 100.00 1 | 99.91 145 | 100.00 1 |
|
| fmvsm_s_conf0.5_n_6 | | | 99.30 114 | 99.12 128 | 99.84 109 | 99.24 335 | 99.56 137 | 100.00 1 | 99.31 267 | 98.90 59 | 100.00 1 | 100.00 1 | 94.75 267 | 99.97 149 | 99.98 91 | 99.88 151 | 100.00 1 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.38 96 | 99.20 117 | 99.92 82 | 99.80 156 | 99.78 103 | 100.00 1 | 99.35 245 | 98.94 45 | 100.00 1 | 100.00 1 | 94.77 265 | 99.99 107 | 99.99 76 | 99.92 140 | 100.00 1 |
|
| fmvsm_s_conf0.5_n_3 | | | 98.99 166 | 98.69 188 | 99.89 90 | 99.70 178 | 99.69 122 | 100.00 1 | 99.39 221 | 98.93 49 | 100.00 1 | 100.00 1 | 90.20 364 | 99.99 107 | 100.00 1 | 99.95 127 | 100.00 1 |
|
| reproduce_model | | | 99.76 21 | 99.69 25 | 99.98 28 | 99.96 103 | 99.93 52 | 100.00 1 | 99.42 152 | 98.81 76 | 100.00 1 | 100.00 1 | 98.98 115 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| reproduce-ours | | | 99.76 21 | 99.69 25 | 99.98 28 | 99.96 103 | 99.94 46 | 100.00 1 | 99.42 152 | 98.82 72 | 100.00 1 | 100.00 1 | 98.99 112 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| our_new_method | | | 99.76 21 | 99.69 25 | 99.98 28 | 99.96 103 | 99.94 46 | 100.00 1 | 99.42 152 | 98.82 72 | 100.00 1 | 100.00 1 | 98.99 112 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| fmvsm_l_conf0.5_n_a | | | 99.63 58 | 99.55 62 | 99.86 100 | 99.83 134 | 99.58 135 | 100.00 1 | 99.36 234 | 98.98 35 | 100.00 1 | 100.00 1 | 97.85 173 | 99.99 107 | 100.00 1 | 99.94 133 | 100.00 1 |
|
| fmvsm_l_conf0.5_n | | | 99.63 58 | 99.56 60 | 99.86 100 | 99.81 143 | 99.59 133 | 100.00 1 | 99.36 234 | 98.98 35 | 100.00 1 | 100.00 1 | 97.92 168 | 99.99 107 | 100.00 1 | 99.95 127 | 100.00 1 |
|
| MM | | | 99.63 58 | 99.52 68 | 99.94 74 | 99.99 52 | 99.82 98 | 100.00 1 | 99.97 17 | 99.11 8 | 100.00 1 | 100.00 1 | 96.65 224 | 100.00 1 | 100.00 1 | 99.97 121 | 100.00 1 |
|
| test_fmvsmconf_n | | | 99.56 71 | 99.46 79 | 99.86 100 | 99.68 186 | 99.58 135 | 100.00 1 | 99.31 267 | 98.92 52 | 99.88 202 | 100.00 1 | 97.35 200 | 99.99 107 | 99.98 91 | 99.99 107 | 100.00 1 |
|
| test_fmvsmvis_n_1920 | | | 99.46 85 | 99.37 86 | 99.73 143 | 98.88 374 | 99.18 196 | 100.00 1 | 99.26 311 | 98.85 66 | 99.79 226 | 100.00 1 | 97.70 181 | 100.00 1 | 99.98 91 | 99.86 157 | 100.00 1 |
|
| test_fmvsm_n_1920 | | | 99.55 73 | 99.49 73 | 99.73 143 | 99.85 128 | 99.19 194 | 100.00 1 | 99.41 201 | 98.87 64 | 100.00 1 | 100.00 1 | 97.34 201 | 100.00 1 | 99.98 91 | 99.90 147 | 100.00 1 |
|
| test_cas_vis1_n_1920 | | | 98.63 219 | 98.25 249 | 99.77 136 | 99.69 181 | 99.32 176 | 100.00 1 | 99.31 267 | 98.84 68 | 99.96 151 | 100.00 1 | 87.42 410 | 99.99 107 | 99.14 260 | 99.86 157 | 100.00 1 |
|
| test_vis1_n_1920 | | | 97.77 286 | 97.24 307 | 99.34 218 | 99.79 161 | 98.04 308 | 100.00 1 | 99.25 315 | 98.88 61 | 100.00 1 | 100.00 1 | 77.52 463 | 100.00 1 | 99.88 123 | 99.85 160 | 100.00 1 |
|
| test_vis1_n | | | 96.69 341 | 95.81 365 | 99.32 231 | 99.14 339 | 97.98 311 | 99.97 299 | 98.98 444 | 98.45 100 | 100.00 1 | 100.00 1 | 66.44 486 | 99.99 107 | 99.78 148 | 99.57 188 | 100.00 1 |
|
| test_fmvs1_n | | | 97.43 305 | 96.86 320 | 99.15 252 | 99.68 186 | 97.48 336 | 99.99 258 | 98.98 444 | 98.82 72 | 100.00 1 | 100.00 1 | 74.85 472 | 99.96 169 | 99.67 184 | 99.70 175 | 100.00 1 |
|
| mvsany_test1 | | | 99.57 70 | 99.48 76 | 99.85 104 | 99.86 126 | 99.54 142 | 100.00 1 | 99.36 234 | 98.94 45 | 100.00 1 | 100.00 1 | 97.97 165 | 100.00 1 | 99.88 123 | 99.28 193 | 100.00 1 |
|
| test_fmvs1 | | | 98.37 251 | 98.04 268 | 99.34 218 | 99.84 130 | 98.07 304 | 100.00 1 | 99.00 441 | 98.85 66 | 100.00 1 | 100.00 1 | 85.11 431 | 99.96 169 | 99.69 179 | 99.88 151 | 100.00 1 |
|
| DVP-MVS++ | | | 99.81 14 | 99.75 17 | 100.00 1 | 100.00 1 | 99.99 6 | 100.00 1 | 99.42 152 | 98.79 80 | 100.00 1 | 100.00 1 | 99.54 33 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| MSC_two_6792asdad | | | | | 100.00 1 | 100.00 1 | 100.00 1 | | 99.42 152 | | | | | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| PC_three_1452 | | | | | | | | | | 98.80 77 | 100.00 1 | 100.00 1 | 99.54 33 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| No_MVS | | | | | 100.00 1 | 100.00 1 | 100.00 1 | | 99.42 152 | | | | | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| SR-MVS-dyc-post | | | 99.63 58 | 99.52 68 | 99.97 40 | 99.99 52 | 99.91 63 | 100.00 1 | 99.42 152 | 97.62 173 | 100.00 1 | 100.00 1 | 98.65 143 | 99.99 107 | 99.99 76 | 100.00 1 | 100.00 1 |
|
| RE-MVS-def | | | | 99.55 62 | | 99.99 52 | 99.91 63 | 100.00 1 | 99.42 152 | 97.62 173 | 100.00 1 | 100.00 1 | 98.94 123 | | 99.99 76 | 100.00 1 | 100.00 1 |
|
| SED-MVS | | | 99.83 10 | 99.77 12 | 100.00 1 | 100.00 1 | 99.99 6 | 100.00 1 | 99.42 152 | 99.03 25 | 100.00 1 | 100.00 1 | 99.50 44 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| IU-MVS | | | | | | 100.00 1 | 99.99 6 | | 99.42 152 | 99.12 7 | 100.00 1 | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
| OPU-MVS | | | | | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 | | | | 100.00 1 | 99.54 33 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| test_241102_TWO | | | | | | | | | 99.42 152 | 99.03 25 | 100.00 1 | 100.00 1 | 99.56 30 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| SF-MVS | | | 99.66 51 | 99.57 55 | 99.95 61 | 99.99 52 | 99.85 93 | 100.00 1 | 99.42 152 | 97.67 165 | 100.00 1 | 100.00 1 | 99.05 106 | 99.99 107 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| ZNCC-MVS | | | 99.71 36 | 99.62 47 | 99.97 40 | 99.99 52 | 99.90 70 | 100.00 1 | 99.79 50 | 97.97 139 | 99.97 144 | 100.00 1 | 98.97 117 | 100.00 1 | 99.94 113 | 100.00 1 | 100.00 1 |
|
| DVP-MVS |  | | 99.83 10 | 99.78 10 | 100.00 1 | 100.00 1 | 99.99 6 | 100.00 1 | 99.42 152 | 99.04 20 | 100.00 1 | 100.00 1 | 99.53 36 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
| 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 |
| test_0728_THIRD | | | | | | | | | | 98.79 80 | 100.00 1 | 100.00 1 | 99.61 20 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| test_0728_SECOND | | | | | 100.00 1 | 99.99 52 | 99.99 6 | 100.00 1 | 99.42 152 | | | | | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| SR-MVS | | | 99.68 46 | 99.58 52 | 99.98 28 | 100.00 1 | 99.95 37 | 100.00 1 | 99.64 69 | 97.59 181 | 100.00 1 | 100.00 1 | 98.99 112 | 99.99 107 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| DPM-MVS | | | 99.63 58 | 99.51 70 | 100.00 1 | 99.90 119 | 100.00 1 | 100.00 1 | 99.43 133 | 99.00 32 | 100.00 1 | 100.00 1 | 99.58 27 | 100.00 1 | 97.64 337 | 100.00 1 | 100.00 1 |
|
| GST-MVS | | | 99.64 54 | 99.53 65 | 99.95 61 | 100.00 1 | 99.86 89 | 100.00 1 | 99.79 50 | 97.72 160 | 99.95 182 | 100.00 1 | 98.39 156 | 100.00 1 | 99.96 105 | 99.99 107 | 100.00 1 |
|
| Anonymous202405211 | | | 97.87 280 | 97.53 292 | 98.90 270 | 99.81 143 | 96.70 365 | 99.35 430 | 99.46 102 | 92.98 427 | 98.83 321 | 99.99 236 | 90.63 354 | 100.00 1 | 99.70 170 | 97.03 313 | 100.00 1 |
|
| SMA-MVS |  | | 99.69 42 | 99.59 50 | 99.98 28 | 99.99 52 | 99.93 52 | 100.00 1 | 99.43 133 | 97.50 193 | 100.00 1 | 100.00 1 | 99.43 59 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
| 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 |
| DPE-MVS |  | | 99.79 17 | 99.73 20 | 99.99 13 | 99.99 52 | 99.98 18 | 100.00 1 | 99.42 152 | 98.91 55 | 100.00 1 | 100.00 1 | 99.22 87 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| CHOSEN 280x420 | | | 99.85 6 | 99.87 1 | 99.80 123 | 99.99 52 | 99.97 26 | 99.97 299 | 99.98 16 | 98.96 39 | 100.00 1 | 100.00 1 | 99.96 4 | 99.42 328 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| MGCNet | | | 99.72 32 | 99.65 37 | 99.93 78 | 99.99 52 | 99.79 102 | 100.00 1 | 99.91 40 | 99.17 6 | 100.00 1 | 100.00 1 | 97.84 175 | 100.00 1 | 100.00 1 | 99.95 127 | 100.00 1 |
|
| MSP-MVS | | | 99.81 14 | 99.77 12 | 99.94 74 | 100.00 1 | 99.86 89 | 100.00 1 | 99.42 152 | 98.87 64 | 100.00 1 | 100.00 1 | 99.65 19 | 99.96 169 | 100.00 1 | 100.00 1 | 100.00 1 |
| 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 |
| TSAR-MVS + MP. | | | 99.82 12 | 99.77 12 | 99.99 13 | 100.00 1 | 99.96 29 | 100.00 1 | 99.43 133 | 99.05 17 | 100.00 1 | 100.00 1 | 99.45 54 | 99.99 107 | 100.00 1 | 100.00 1 | 100.00 1 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| ACMMP_NAP | | | 99.67 49 | 99.57 55 | 99.97 40 | 99.98 93 | 99.92 59 | 100.00 1 | 99.42 152 | 97.83 150 | 100.00 1 | 100.00 1 | 98.89 129 | 100.00 1 | 99.98 91 | 100.00 1 | 100.00 1 |
|
| MTAPA | | | 99.68 46 | 99.59 50 | 99.97 40 | 99.99 52 | 99.91 63 | 100.00 1 | 99.42 152 | 98.32 113 | 99.94 185 | 100.00 1 | 98.65 143 | 100.00 1 | 99.96 105 | 100.00 1 | 100.00 1 |
|
| test9_res | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
| train_agg | | | 99.71 36 | 99.63 44 | 99.97 40 | 100.00 1 | 99.95 37 | 100.00 1 | 99.42 152 | 97.70 162 | 100.00 1 | 100.00 1 | 99.51 40 | 99.97 149 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| agg_prior2 | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
| HFP-MVS | | | 99.74 28 | 99.67 33 | 99.96 52 | 100.00 1 | 99.89 77 | 100.00 1 | 99.76 54 | 97.95 143 | 100.00 1 | 100.00 1 | 99.31 75 | 100.00 1 | 99.99 76 | 100.00 1 | 100.00 1 |
|
| region2R | | | 99.72 32 | 99.64 40 | 99.97 40 | 100.00 1 | 99.90 70 | 100.00 1 | 99.74 60 | 97.86 149 | 100.00 1 | 100.00 1 | 99.19 90 | 100.00 1 | 99.99 76 | 100.00 1 | 100.00 1 |
|
| balanced_ft_v1 | | | 98.70 208 | 98.61 198 | 98.94 267 | 99.67 194 | 96.90 358 | 99.91 337 | 99.30 273 | 96.73 273 | 99.96 151 | 99.97 256 | 92.18 328 | 99.93 199 | 99.86 127 | 99.95 127 | 100.00 1 |
|
| EI-MVSNet-UG-set | | | 99.69 42 | 99.63 44 | 99.87 97 | 99.99 52 | 99.64 127 | 99.95 315 | 99.44 124 | 98.35 111 | 100.00 1 | 100.00 1 | 98.98 115 | 99.97 149 | 99.98 91 | 100.00 1 | 100.00 1 |
|
| EI-MVSNet-Vis-set | | | 99.70 39 | 99.64 40 | 99.87 97 | 100.00 1 | 99.64 127 | 99.98 290 | 99.44 124 | 98.35 111 | 99.99 127 | 100.00 1 | 99.04 109 | 99.96 169 | 99.98 91 | 100.00 1 | 100.00 1 |
|
| XVS | | | 99.79 17 | 99.73 20 | 99.98 28 | 100.00 1 | 99.94 46 | 100.00 1 | 99.75 57 | 98.67 88 | 100.00 1 | 100.00 1 | 99.16 93 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| X-MVStestdata | | | 97.04 325 | 96.06 354 | 99.98 28 | 100.00 1 | 99.94 46 | 100.00 1 | 99.75 57 | 98.67 88 | 100.00 1 | 66.97 502 | 99.16 93 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| test_prior | | | | | 99.90 87 | 100.00 1 | 99.75 108 | | 99.73 61 | | | | | 99.97 149 | | | 100.00 1 |
|
| æ–°å‡ ä½•1 | | | | | 99.99 13 | 100.00 1 | 99.96 29 | | 99.81 47 | 97.89 146 | 100.00 1 | 100.00 1 | 99.20 89 | 100.00 1 | 97.91 325 | 100.00 1 | 100.00 1 |
|
| 旧先验1 | | | | | | 99.99 52 | 99.88 84 | | 99.82 45 | | | 100.00 1 | 99.27 84 | | | 100.00 1 | 100.00 1 |
|
| æ— å…ˆéªŒ | | | | | | | | 100.00 1 | 99.80 48 | 97.98 137 | | | | 100.00 1 | 99.33 247 | | 100.00 1 |
|
| 原ACMM1 | | | | | 99.93 78 | 100.00 1 | 99.80 101 | | 99.66 68 | 98.18 120 | 100.00 1 | 100.00 1 | 99.43 59 | 100.00 1 | 99.50 224 | 100.00 1 | 100.00 1 |
|
| test222 | | | | | | 99.99 52 | 99.90 70 | 100.00 1 | 99.69 67 | 97.66 166 | 100.00 1 | 100.00 1 | 99.30 80 | | | 100.00 1 | 100.00 1 |
|
| testdata | | | | | 99.66 157 | 99.99 52 | 98.97 219 | | 99.73 61 | 97.96 142 | 100.00 1 | 100.00 1 | 99.42 63 | 100.00 1 | 99.28 251 | 100.00 1 | 100.00 1 |
|
| 1314 | | | 99.38 96 | 99.19 118 | 99.96 52 | 98.88 374 | 99.89 77 | 99.24 440 | 99.93 35 | 98.88 61 | 98.79 324 | 100.00 1 | 97.02 207 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| MVS | | | 99.22 130 | 98.96 147 | 99.98 28 | 99.00 361 | 99.95 37 | 99.24 440 | 99.94 27 | 98.14 124 | 98.88 314 | 100.00 1 | 95.63 244 | 100.00 1 | 99.85 130 | 100.00 1 | 100.00 1 |
|
| SD-MVS | | | 99.81 14 | 99.75 17 | 99.99 13 | 99.99 52 | 99.96 29 | 100.00 1 | 99.42 152 | 99.01 31 | 100.00 1 | 100.00 1 | 99.33 70 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
| 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 |
| MSLP-MVS++ | | | 99.89 1 | 99.85 2 | 99.99 13 | 100.00 1 | 99.96 29 | 100.00 1 | 99.95 19 | 99.11 8 | 100.00 1 | 100.00 1 | 99.60 21 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| APDe-MVS |  | | 99.84 9 | 99.78 10 | 99.99 13 | 100.00 1 | 99.98 18 | 100.00 1 | 99.44 124 | 99.06 15 | 100.00 1 | 100.00 1 | 99.56 30 | 99.99 107 | 100.00 1 | 100.00 1 | 100.00 1 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 99.65 52 | 99.55 62 | 99.97 40 | 99.99 52 | 99.91 63 | 100.00 1 | 99.48 83 | 97.54 185 | 100.00 1 | 100.00 1 | 98.97 117 | 99.99 107 | 99.98 91 | 100.00 1 | 100.00 1 |
|
| ACMMPR | | | 99.74 28 | 99.67 33 | 99.96 52 | 100.00 1 | 99.89 77 | 100.00 1 | 99.76 54 | 97.95 143 | 100.00 1 | 100.00 1 | 99.29 81 | 100.00 1 | 99.99 76 | 100.00 1 | 100.00 1 |
|
| MP-MVS |  | | 99.61 65 | 99.49 73 | 99.98 28 | 99.99 52 | 99.94 46 | 100.00 1 | 99.42 152 | 97.82 152 | 99.99 127 | 100.00 1 | 98.20 159 | 100.00 1 | 99.99 76 | 100.00 1 | 100.00 1 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| PGM-MVS | | | 99.69 42 | 99.61 48 | 99.95 61 | 99.99 52 | 99.85 93 | 100.00 1 | 99.58 72 | 97.69 164 | 100.00 1 | 100.00 1 | 99.44 55 | 100.00 1 | 99.79 142 | 100.00 1 | 100.00 1 |
|
| MCST-MVS | | | 99.85 6 | 99.80 7 | 100.00 1 | 100.00 1 | 99.99 6 | 100.00 1 | 99.73 61 | 99.19 5 | 100.00 1 | 100.00 1 | 99.31 75 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| CDPH-MVS | | | 99.73 31 | 99.64 40 | 99.99 13 | 100.00 1 | 99.97 26 | 100.00 1 | 99.42 152 | 98.02 133 | 100.00 1 | 100.00 1 | 99.32 73 | 99.99 107 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| test12 | | | | | 99.95 61 | 99.99 52 | 99.89 77 | | 99.42 152 | | 100.00 1 | | 99.24 86 | 99.97 149 | | 100.00 1 | 100.00 1 |
|
| TSAR-MVS + GP. | | | 99.61 65 | 99.69 25 | 99.35 216 | 99.99 52 | 98.06 306 | 100.00 1 | 99.36 234 | 99.83 2 | 100.00 1 | 100.00 1 | 98.95 121 | 99.99 107 | 100.00 1 | 99.11 198 | 100.00 1 |
|
| mPP-MVS | | | 99.69 42 | 99.60 49 | 99.97 40 | 100.00 1 | 99.91 63 | 100.00 1 | 99.42 152 | 97.91 145 | 100.00 1 | 100.00 1 | 99.04 109 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| HPM-MVS_fast | | | 99.60 68 | 99.49 73 | 99.91 83 | 99.99 52 | 99.78 103 | 100.00 1 | 99.42 152 | 97.09 229 | 100.00 1 | 100.00 1 | 98.95 121 | 99.96 169 | 99.98 91 | 100.00 1 | 100.00 1 |
|
| HPM-MVS |  | | 99.59 69 | 99.50 71 | 99.89 90 | 100.00 1 | 99.70 120 | 100.00 1 | 99.42 152 | 97.46 197 | 100.00 1 | 100.00 1 | 98.60 146 | 99.96 169 | 99.99 76 | 100.00 1 | 100.00 1 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| EPNet_dtu | | | 98.53 237 | 98.23 255 | 99.43 195 | 99.92 115 | 99.01 212 | 99.96 306 | 99.47 84 | 98.80 77 | 99.96 151 | 99.96 274 | 98.56 148 | 99.30 336 | 87.78 468 | 99.68 176 | 100.00 1 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CHOSEN 1792x2688 | | | 99.00 162 | 98.91 157 | 99.25 247 | 99.90 119 | 97.79 326 | 100.00 1 | 99.99 13 | 98.79 80 | 98.28 368 | 100.00 1 | 93.63 294 | 99.95 182 | 99.66 189 | 99.95 127 | 100.00 1 |
|
| APD-MVS |  | | 99.68 46 | 99.58 52 | 99.97 40 | 99.99 52 | 99.96 29 | 100.00 1 | 99.42 152 | 97.53 188 | 100.00 1 | 100.00 1 | 99.27 84 | 99.97 149 | 100.00 1 | 100.00 1 | 100.00 1 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| CNVR-MVS | | | 99.85 6 | 99.80 7 | 100.00 1 | 100.00 1 | 99.99 6 | 100.00 1 | 99.77 53 | 99.07 13 | 100.00 1 | 100.00 1 | 99.39 68 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| NCCC | | | 99.86 4 | 99.82 5 | 100.00 1 | 100.00 1 | 99.99 6 | 100.00 1 | 99.71 66 | 99.07 13 | 100.00 1 | 100.00 1 | 99.59 24 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| 114514_t | | | 99.39 93 | 99.25 104 | 99.81 117 | 99.97 97 | 99.48 159 | 100.00 1 | 99.42 152 | 95.53 352 | 100.00 1 | 100.00 1 | 98.37 157 | 99.95 182 | 99.97 103 | 100.00 1 | 100.00 1 |
|
| CP-MVS | | | 99.67 49 | 99.58 52 | 99.95 61 | 100.00 1 | 99.84 95 | 100.00 1 | 99.42 152 | 97.77 157 | 100.00 1 | 100.00 1 | 99.07 103 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| SteuartSystems-ACMMP | | | 99.78 19 | 99.71 23 | 99.98 28 | 99.76 169 | 99.95 37 | 100.00 1 | 99.42 152 | 98.69 86 | 100.00 1 | 100.00 1 | 99.52 39 | 99.99 107 | 100.00 1 | 100.00 1 | 100.00 1 |
| Skip Steuart: Steuart Systems R&D Blog. |
| DELS-MVS | | | 99.62 63 | 99.56 60 | 99.82 112 | 99.92 115 | 99.45 161 | 100.00 1 | 99.78 52 | 98.92 52 | 99.73 238 | 100.00 1 | 97.70 181 | 100.00 1 | 99.93 115 | 100.00 1 | 100.00 1 |
| 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 |
| CPTT-MVS | | | 99.49 80 | 99.38 83 | 99.85 104 | 100.00 1 | 99.54 142 | 100.00 1 | 99.42 152 | 97.58 182 | 99.98 138 | 100.00 1 | 97.43 198 | 100.00 1 | 99.99 76 | 100.00 1 | 100.00 1 |
|
| DP-MVS Recon | | | 99.76 21 | 99.69 25 | 99.98 28 | 100.00 1 | 99.95 37 | 100.00 1 | 99.52 77 | 97.99 135 | 99.99 127 | 100.00 1 | 99.72 14 | 100.00 1 | 99.96 105 | 100.00 1 | 100.00 1 |
|
| MVS_111021_LR | | | 99.70 39 | 99.65 37 | 99.88 95 | 99.96 103 | 99.70 120 | 100.00 1 | 99.97 17 | 98.96 39 | 100.00 1 | 100.00 1 | 97.93 167 | 99.95 182 | 99.99 76 | 100.00 1 | 100.00 1 |
|
| DP-MVS | | | 98.86 188 | 98.54 210 | 99.81 117 | 99.97 97 | 99.45 161 | 99.52 413 | 99.40 205 | 94.35 390 | 98.36 360 | 100.00 1 | 96.13 233 | 99.97 149 | 99.12 263 | 100.00 1 | 100.00 1 |
|
| QAPM | | | 98.99 166 | 98.66 191 | 99.96 52 | 99.01 356 | 99.87 86 | 99.88 346 | 99.93 35 | 97.99 135 | 98.68 329 | 100.00 1 | 93.17 307 | 100.00 1 | 99.32 248 | 100.00 1 | 100.00 1 |
|
| HyFIR lowres test | | | 99.32 110 | 99.24 108 | 99.58 173 | 99.95 107 | 99.26 184 | 100.00 1 | 99.99 13 | 96.72 275 | 99.29 281 | 99.91 296 | 99.49 47 | 99.47 318 | 99.74 156 | 98.08 274 | 100.00 1 |
|
| PAPM_NR | | | 99.74 28 | 99.66 36 | 99.99 13 | 100.00 1 | 99.96 29 | 100.00 1 | 99.47 84 | 97.87 148 | 100.00 1 | 100.00 1 | 99.60 21 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| PAPR | | | 99.76 21 | 99.68 31 | 99.99 13 | 100.00 1 | 99.96 29 | 100.00 1 | 99.47 84 | 98.16 121 | 100.00 1 | 100.00 1 | 99.51 40 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| IB-MVS | | 96.24 12 | 97.54 300 | 96.95 317 | 99.33 226 | 99.67 194 | 98.10 302 | 100.00 1 | 99.47 84 | 97.42 203 | 99.26 282 | 99.69 341 | 98.83 134 | 99.89 220 | 99.43 236 | 78.77 476 | 100.00 1 |
| 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 |
| MVS_111021_HR | | | 99.71 36 | 99.63 44 | 99.93 78 | 99.95 107 | 99.83 97 | 100.00 1 | 100.00 1 | 98.89 60 | 100.00 1 | 100.00 1 | 97.85 173 | 99.95 182 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| CSCG | | | 99.28 119 | 99.35 91 | 99.05 258 | 99.99 52 | 97.15 352 | 100.00 1 | 99.47 84 | 97.44 201 | 99.42 267 | 100.00 1 | 97.83 177 | 100.00 1 | 99.99 76 | 100.00 1 | 100.00 1 |
|
| API-MVS | | | 99.72 32 | 99.70 24 | 99.79 128 | 99.97 97 | 99.37 172 | 99.96 306 | 99.94 27 | 98.48 98 | 100.00 1 | 100.00 1 | 98.92 126 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| PAPM | | | 99.78 19 | 99.76 15 | 99.85 104 | 99.01 356 | 99.95 37 | 100.00 1 | 99.75 57 | 99.37 3 | 99.99 127 | 100.00 1 | 99.76 12 | 99.60 284 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| ACMMP |  | | 99.65 52 | 99.57 55 | 99.89 90 | 99.99 52 | 99.66 125 | 99.75 378 | 99.73 61 | 98.16 121 | 99.75 232 | 100.00 1 | 98.90 128 | 100.00 1 | 99.96 105 | 99.88 151 | 100.00 1 |
| 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 |
| CNLPA | | | 99.72 32 | 99.65 37 | 99.91 83 | 99.97 97 | 99.72 115 | 100.00 1 | 99.47 84 | 98.43 101 | 99.88 202 | 100.00 1 | 99.14 96 | 100.00 1 | 99.97 103 | 100.00 1 | 100.00 1 |
|
| PHI-MVS | | | 99.50 78 | 99.39 82 | 99.82 112 | 100.00 1 | 99.45 161 | 100.00 1 | 99.94 27 | 96.38 317 | 100.00 1 | 100.00 1 | 98.18 160 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| PVSNet | | 94.91 18 | 99.30 114 | 99.25 104 | 99.44 192 | 100.00 1 | 98.32 279 | 100.00 1 | 99.86 43 | 98.04 132 | 100.00 1 | 100.00 1 | 96.10 234 | 100.00 1 | 99.55 214 | 99.73 172 | 100.00 1 |
|
| PVSNet_0 | | 93.57 19 | 96.41 354 | 95.74 371 | 98.41 304 | 99.84 130 | 95.22 392 | 100.00 1 | 100.00 1 | 98.08 130 | 97.55 406 | 99.78 329 | 84.40 434 | 100.00 1 | 100.00 1 | 81.99 466 | 100.00 1 |
|
| DeepPCF-MVS | | 98.03 4 | 98.54 236 | 99.72 22 | 94.98 437 | 99.99 52 | 84.94 478 | 100.00 1 | 99.42 152 | 99.98 1 | 100.00 1 | 100.00 1 | 98.11 162 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
| DeepC-MVS_fast | | 98.92 1 | 99.75 26 | 99.67 33 | 99.99 13 | 99.99 52 | 99.96 29 | 99.73 384 | 99.52 77 | 99.06 15 | 100.00 1 | 100.00 1 | 98.80 137 | 100.00 1 | 99.95 111 | 100.00 1 | 100.00 1 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| MG-MVS | | | 99.75 26 | 99.68 31 | 99.97 40 | 100.00 1 | 99.91 63 | 99.98 290 | 99.47 84 | 99.09 12 | 100.00 1 | 100.00 1 | 98.59 147 | 100.00 1 | 99.95 111 | 100.00 1 | 100.00 1 |
|
| AdaColmap |  | | 99.44 88 | 99.26 102 | 99.95 61 | 100.00 1 | 99.86 89 | 99.70 390 | 99.99 13 | 98.53 94 | 99.90 196 | 100.00 1 | 95.34 247 | 100.00 1 | 99.92 116 | 100.00 1 | 100.00 1 |
|
| MAR-MVS | | | 99.49 80 | 99.36 89 | 99.89 90 | 99.97 97 | 99.66 125 | 99.74 379 | 99.95 19 | 97.89 146 | 100.00 1 | 100.00 1 | 96.71 223 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
| 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 |
| 3Dnovator+ | | 95.58 15 | 99.03 153 | 98.71 184 | 99.96 52 | 98.99 364 | 99.89 77 | 100.00 1 | 99.51 81 | 98.96 39 | 98.32 365 | 100.00 1 | 92.78 316 | 100.00 1 | 99.87 126 | 100.00 1 | 100.00 1 |
|
| 3Dnovator | | 95.63 14 | 99.06 147 | 98.76 174 | 99.96 52 | 98.86 379 | 99.90 70 | 99.98 290 | 99.93 35 | 98.95 42 | 98.49 352 | 100.00 1 | 92.91 314 | 100.00 1 | 99.71 166 | 100.00 1 | 100.00 1 |
|
| TAPA-MVS | | 96.40 10 | 97.64 290 | 97.37 299 | 98.45 299 | 99.94 110 | 95.70 383 | 100.00 1 | 99.40 205 | 97.65 168 | 99.53 257 | 100.00 1 | 99.31 75 | 99.66 281 | 80.48 483 | 100.00 1 | 100.00 1 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| fmvsm_s_conf0.5_n_5 | | | 99.00 162 | 98.70 186 | 99.88 95 | 99.81 143 | 99.64 127 | 100.00 1 | 99.26 311 | 98.78 83 | 99.97 144 | 100.00 1 | 90.65 352 | 99.99 107 | 100.00 1 | 99.89 148 | 99.99 124 |
|
| MP-MVS-pluss | | | 99.61 65 | 99.50 71 | 99.97 40 | 99.98 93 | 99.92 59 | 100.00 1 | 99.42 152 | 97.53 188 | 99.77 229 | 100.00 1 | 98.77 138 | 100.00 1 | 99.99 76 | 100.00 1 | 99.99 124 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| HPM-MVS++ |  | | 99.82 12 | 99.76 15 | 99.99 13 | 99.99 52 | 99.98 18 | 100.00 1 | 99.83 44 | 98.88 61 | 99.96 151 | 100.00 1 | 99.21 88 | 100.00 1 | 100.00 1 | 100.00 1 | 99.99 124 |
|
| 0.3-1-1-0.015 | | | 97.60 294 | 97.19 310 | 98.83 275 | 99.13 340 | 96.55 370 | 100.00 1 | 99.40 205 | 94.19 396 | 99.83 209 | 99.81 319 | 99.18 91 | 99.97 149 | 99.70 170 | 83.50 460 | 99.98 127 |
|
| 0.4-1-1-0.1 | | | 97.56 297 | 97.15 314 | 98.79 280 | 99.01 356 | 96.44 373 | 100.00 1 | 99.40 205 | 94.11 399 | 99.81 224 | 99.81 319 | 99.09 99 | 99.97 149 | 99.65 191 | 83.48 462 | 99.98 127 |
|
| 0.4-1-1-0.2 | | | 97.60 294 | 97.18 311 | 98.86 273 | 99.05 353 | 96.62 368 | 100.00 1 | 99.40 205 | 94.24 391 | 99.82 218 | 99.81 319 | 99.09 99 | 99.97 149 | 99.70 170 | 83.50 460 | 99.98 127 |
|
| fmvsm_s_conf0.5_n_a | | | 99.32 110 | 99.15 123 | 99.81 117 | 99.80 156 | 99.47 160 | 100.00 1 | 99.35 245 | 98.22 116 | 100.00 1 | 100.00 1 | 95.21 253 | 99.99 107 | 99.96 105 | 99.86 157 | 99.98 127 |
|
| fmvsm_s_conf0.5_n | | | 99.21 131 | 99.01 138 | 99.83 110 | 99.84 130 | 99.53 144 | 100.00 1 | 99.38 224 | 98.29 115 | 100.00 1 | 100.00 1 | 93.62 295 | 99.99 107 | 99.99 76 | 99.93 137 | 99.98 127 |
|
| thres100view900 | | | 99.25 126 | 99.01 138 | 99.95 61 | 99.81 143 | 99.87 86 | 100.00 1 | 99.94 27 | 97.13 226 | 99.83 209 | 99.96 274 | 97.01 208 | 100.00 1 | 99.59 206 | 97.85 289 | 99.98 127 |
|
| tfpn200view9 | | | 99.26 122 | 99.03 136 | 99.96 52 | 99.81 143 | 99.89 77 | 100.00 1 | 99.94 27 | 97.23 220 | 99.83 209 | 99.96 274 | 97.04 204 | 100.00 1 | 99.59 206 | 97.85 289 | 99.98 127 |
|
| thres200 | | | 99.27 120 | 99.04 135 | 99.96 52 | 99.81 143 | 99.90 70 | 100.00 1 | 99.94 27 | 97.31 214 | 99.83 209 | 99.96 274 | 97.04 204 | 100.00 1 | 99.62 199 | 97.88 287 | 99.98 127 |
|
| LCM-MVSNet-Re | | | 96.52 347 | 97.21 309 | 94.44 442 | 99.27 332 | 85.80 476 | 99.85 351 | 96.61 494 | 95.98 336 | 92.75 464 | 98.48 450 | 93.97 289 | 97.55 460 | 99.58 209 | 98.43 224 | 99.98 127 |
|
| JIA-IIPM | | | 97.09 321 | 96.34 343 | 99.36 214 | 98.88 374 | 98.59 247 | 99.81 358 | 99.43 133 | 84.81 476 | 99.96 151 | 90.34 491 | 98.55 149 | 99.52 309 | 97.00 359 | 98.28 250 | 99.98 127 |
|
| fmvsm_s_conf0.1_n_a | | | 98.71 206 | 98.36 242 | 99.78 133 | 99.09 345 | 99.42 166 | 100.00 1 | 99.26 311 | 97.42 203 | 100.00 1 | 100.00 1 | 89.78 375 | 99.96 169 | 99.82 139 | 99.85 160 | 99.97 137 |
|
| fmvsm_s_conf0.1_n | | | 98.77 195 | 98.42 226 | 99.82 112 | 99.47 290 | 99.52 148 | 100.00 1 | 99.27 305 | 97.53 188 | 100.00 1 | 100.00 1 | 89.73 377 | 99.96 169 | 99.84 133 | 99.93 137 | 99.97 137 |
|
| test_fmvsmconf0.1_n | | | 99.25 126 | 99.05 134 | 99.82 112 | 98.92 370 | 99.55 139 | 100.00 1 | 99.23 326 | 98.91 55 | 99.75 232 | 99.97 256 | 94.79 264 | 99.94 195 | 99.94 113 | 99.99 107 | 99.97 137 |
|
| thres600view7 | | | 99.24 129 | 99.00 141 | 99.95 61 | 99.81 143 | 99.87 86 | 100.00 1 | 99.94 27 | 97.13 226 | 99.83 209 | 99.96 274 | 97.01 208 | 100.00 1 | 99.54 217 | 97.77 298 | 99.97 137 |
|
| thres400 | | | 99.26 122 | 99.03 136 | 99.95 61 | 99.81 143 | 99.89 77 | 100.00 1 | 99.94 27 | 97.23 220 | 99.83 209 | 99.96 274 | 97.04 204 | 100.00 1 | 99.59 206 | 97.85 289 | 99.97 137 |
|
| OMC-MVS | | | 99.27 120 | 99.38 83 | 98.96 266 | 99.95 107 | 97.06 356 | 100.00 1 | 99.40 205 | 98.83 70 | 99.88 202 | 100.00 1 | 97.01 208 | 99.86 231 | 99.47 229 | 99.84 162 | 99.97 137 |
|
| dmvs_re | | | 97.54 300 | 97.88 278 | 96.54 412 | 99.55 245 | 90.35 461 | 99.86 349 | 99.46 102 | 97.00 237 | 99.41 272 | 100.00 1 | 90.78 351 | 99.30 336 | 99.60 204 | 95.24 343 | 99.96 143 |
|
| CANet | | | 99.40 92 | 99.24 108 | 99.89 90 | 99.99 52 | 99.76 107 | 100.00 1 | 99.73 61 | 98.40 102 | 99.78 228 | 100.00 1 | 95.28 248 | 99.96 169 | 100.00 1 | 99.99 107 | 99.96 143 |
|
| GG-mvs-BLEND | | | | | 99.59 169 | 99.54 248 | 99.49 155 | 99.17 455 | 99.52 77 | | 99.96 151 | 99.68 345 | 100.00 1 | 99.33 335 | 99.71 166 | 99.99 107 | 99.96 143 |
|
| gg-mvs-nofinetune | | | 96.95 330 | 96.10 352 | 99.50 181 | 99.41 310 | 99.36 174 | 99.07 468 | 99.52 77 | 83.69 478 | 99.96 151 | 83.60 499 | 100.00 1 | 99.20 341 | 99.68 180 | 99.99 107 | 99.96 143 |
|
| VNet | | | 99.04 150 | 98.75 175 | 99.90 87 | 99.81 143 | 99.75 108 | 99.50 415 | 99.47 84 | 98.36 109 | 100.00 1 | 99.99 236 | 94.66 270 | 100.00 1 | 99.90 119 | 97.09 312 | 99.96 143 |
|
| BH-w/o | | | 98.82 192 | 98.81 167 | 98.88 272 | 99.62 220 | 96.71 364 | 100.00 1 | 99.28 290 | 97.09 229 | 98.81 322 | 100.00 1 | 94.91 261 | 99.96 169 | 99.54 217 | 100.00 1 | 99.96 143 |
|
| patch_mono-2 | | | 99.04 150 | 99.79 9 | 96.81 406 | 99.92 115 | 90.47 460 | 100.00 1 | 99.41 201 | 98.95 42 | 100.00 1 | 100.00 1 | 99.78 9 | 100.00 1 | 100.00 1 | 100.00 1 | 99.95 149 |
|
| dcpmvs_2 | | | 98.87 187 | 99.53 65 | 96.90 394 | 99.87 125 | 90.88 458 | 99.94 323 | 99.07 421 | 98.20 119 | 100.00 1 | 100.00 1 | 98.69 142 | 99.86 231 | 100.00 1 | 100.00 1 | 99.95 149 |
|
| Patchmatch-test | | | 97.83 283 | 97.42 295 | 99.06 256 | 99.08 346 | 97.66 330 | 98.66 479 | 99.21 350 | 93.65 409 | 98.25 372 | 99.58 368 | 99.47 52 | 99.57 291 | 90.25 455 | 98.59 215 | 99.95 149 |
|
| HY-MVS | | 96.53 9 | 99.50 78 | 99.35 91 | 99.96 52 | 99.81 143 | 99.93 52 | 99.64 397 | 100.00 1 | 97.97 139 | 99.84 206 | 99.85 309 | 98.94 123 | 99.99 107 | 99.86 127 | 98.23 260 | 99.95 149 |
|
| PatchMatch-RL | | | 99.02 159 | 98.78 170 | 99.74 140 | 99.99 52 | 99.29 179 | 100.00 1 | 100.00 1 | 98.38 105 | 99.89 199 | 99.81 319 | 93.14 311 | 99.99 107 | 97.85 327 | 99.98 117 | 99.95 149 |
|
| balanced_conf03 | | | 99.43 89 | 99.28 96 | 99.85 104 | 99.68 186 | 99.68 123 | 99.97 299 | 99.28 290 | 97.03 235 | 99.96 151 | 99.97 256 | 97.90 169 | 99.93 199 | 99.77 150 | 100.00 1 | 99.94 154 |
|
| test2506 | | | 99.48 82 | 99.38 83 | 99.75 139 | 99.89 121 | 99.51 149 | 99.45 419 | 100.00 1 | 98.38 105 | 99.83 209 | 100.00 1 | 98.86 130 | 99.81 250 | 99.25 252 | 98.78 207 | 99.94 154 |
|
| test1111 | | | 98.42 246 | 98.12 259 | 99.29 239 | 99.88 123 | 98.15 297 | 99.46 417 | 100.00 1 | 98.36 109 | 99.42 267 | 100.00 1 | 87.91 403 | 99.79 255 | 99.31 249 | 98.78 207 | 99.94 154 |
|
| ECVR-MVS |  | | 98.43 244 | 98.14 258 | 99.32 231 | 99.89 121 | 98.21 291 | 99.46 417 | 100.00 1 | 98.38 105 | 99.47 264 | 100.00 1 | 87.91 403 | 99.80 254 | 99.35 244 | 98.78 207 | 99.94 154 |
|
| test_yl | | | 99.51 75 | 99.37 86 | 99.95 61 | 99.82 137 | 99.90 70 | 100.00 1 | 99.47 84 | 97.48 195 | 100.00 1 | 100.00 1 | 99.80 6 | 100.00 1 | 99.98 91 | 97.75 299 | 99.94 154 |
|
| DCV-MVSNet | | | 99.51 75 | 99.37 86 | 99.95 61 | 99.82 137 | 99.90 70 | 100.00 1 | 99.47 84 | 97.48 195 | 100.00 1 | 100.00 1 | 99.80 6 | 100.00 1 | 99.98 91 | 97.75 299 | 99.94 154 |
|
| LFMVS | | | 97.42 306 | 96.62 329 | 99.81 117 | 99.80 156 | 99.50 151 | 99.16 456 | 99.56 75 | 94.48 386 | 100.00 1 | 100.00 1 | 79.35 457 | 100.00 1 | 99.89 121 | 97.37 308 | 99.94 154 |
|
| WTY-MVS | | | 99.54 74 | 99.40 81 | 99.95 61 | 99.81 143 | 99.93 52 | 100.00 1 | 100.00 1 | 97.98 137 | 99.84 206 | 100.00 1 | 98.94 123 | 99.98 140 | 99.86 127 | 98.21 261 | 99.94 154 |
|
| PMMVS | | | 99.12 140 | 98.97 146 | 99.58 173 | 99.57 238 | 98.98 217 | 100.00 1 | 99.30 273 | 97.14 224 | 99.96 151 | 100.00 1 | 96.53 229 | 99.82 247 | 99.70 170 | 98.49 220 | 99.94 154 |
|
| F-COLMAP | | | 99.64 54 | 99.64 40 | 99.67 154 | 99.99 52 | 99.07 203 | 100.00 1 | 99.44 124 | 98.30 114 | 99.90 196 | 100.00 1 | 99.18 91 | 99.99 107 | 99.91 118 | 100.00 1 | 99.94 154 |
|
| PLC |  | 98.56 2 | 99.70 39 | 99.74 19 | 99.58 173 | 100.00 1 | 98.79 231 | 100.00 1 | 99.54 76 | 98.58 93 | 99.96 151 | 100.00 1 | 99.59 24 | 100.00 1 | 100.00 1 | 100.00 1 | 99.94 154 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| TR-MVS | | | 98.14 267 | 97.74 283 | 99.33 226 | 99.59 229 | 98.28 283 | 99.27 437 | 99.21 350 | 96.42 314 | 99.15 291 | 99.94 287 | 88.87 393 | 99.79 255 | 98.88 276 | 98.29 249 | 99.93 165 |
|
| PatchmatchNet |  | | 99.03 153 | 98.96 147 | 99.26 246 | 99.49 282 | 98.33 277 | 99.38 427 | 99.45 110 | 96.64 289 | 99.96 151 | 99.58 368 | 99.49 47 | 99.50 314 | 97.63 338 | 99.00 203 | 99.93 165 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| SD_0403 | | | 97.92 279 | 98.43 225 | 96.39 415 | 99.68 186 | 89.74 466 | 99.92 331 | 99.34 252 | 96.75 266 | 99.39 274 | 99.93 292 | 93.54 298 | 99.51 311 | 99.11 264 | 98.21 261 | 99.92 167 |
|
| fmvsm_s_conf0.5_n_2 | | | 98.90 184 | 98.57 205 | 99.90 87 | 99.79 161 | 99.78 103 | 100.00 1 | 99.25 315 | 98.97 37 | 100.00 1 | 100.00 1 | 89.22 387 | 99.99 107 | 100.00 1 | 99.88 151 | 99.92 167 |
|
| ET-MVSNet_ETH3D | | | 96.41 354 | 95.48 385 | 99.20 250 | 99.81 143 | 99.75 108 | 100.00 1 | 99.02 438 | 97.30 216 | 78.33 491 | 100.00 1 | 97.73 179 | 97.94 450 | 99.70 170 | 87.41 441 | 99.92 167 |
|
| LS3D | | | 99.31 112 | 99.13 126 | 99.87 97 | 99.99 52 | 99.71 116 | 99.55 409 | 99.46 102 | 97.32 212 | 99.82 218 | 100.00 1 | 96.85 218 | 99.97 149 | 99.14 260 | 100.00 1 | 99.92 167 |
|
| MGCFI-Net | | | 99.01 161 | 98.70 186 | 99.93 78 | 99.74 173 | 99.94 46 | 100.00 1 | 99.29 282 | 97.60 180 | 100.00 1 | 100.00 1 | 95.10 257 | 99.96 169 | 99.74 156 | 96.85 319 | 99.91 171 |
|
| sasdasda | | | 99.03 153 | 98.73 178 | 99.94 74 | 99.75 171 | 99.95 37 | 100.00 1 | 99.30 273 | 97.64 170 | 100.00 1 | 100.00 1 | 95.22 251 | 99.97 149 | 99.76 151 | 96.90 317 | 99.91 171 |
|
| GSMVS | | | | | | | | | | | | | | | | | 99.91 171 |
|
| sam_mvs1 | | | | | | | | | | | | | 99.29 81 | | | | 99.91 171 |
|
| SCA | | | 98.30 256 | 97.98 272 | 99.23 248 | 99.41 310 | 98.25 287 | 99.99 258 | 99.45 110 | 96.91 247 | 99.76 231 | 99.58 368 | 89.65 381 | 99.54 303 | 98.31 307 | 98.79 206 | 99.91 171 |
|
| Patchmatch-RL test | | | 93.49 415 | 93.63 407 | 93.05 453 | 91.78 483 | 83.41 480 | 98.21 485 | 96.95 490 | 91.58 439 | 91.05 468 | 97.64 467 | 99.40 67 | 95.83 477 | 94.11 421 | 81.95 467 | 99.91 171 |
|
| canonicalmvs | | | 99.03 153 | 98.73 178 | 99.94 74 | 99.75 171 | 99.95 37 | 100.00 1 | 99.30 273 | 97.64 170 | 100.00 1 | 100.00 1 | 95.22 251 | 99.97 149 | 99.76 151 | 96.90 317 | 99.91 171 |
|
| test-LLR | | | 99.03 153 | 98.91 157 | 99.40 204 | 99.40 315 | 99.28 181 | 100.00 1 | 99.45 110 | 96.70 281 | 99.42 267 | 99.12 404 | 99.31 75 | 99.01 350 | 96.82 366 | 99.99 107 | 99.91 171 |
|
| TESTMET0.1,1 | | | 99.08 143 | 98.96 147 | 99.44 192 | 99.63 213 | 99.38 169 | 100.00 1 | 99.45 110 | 95.53 352 | 99.48 261 | 100.00 1 | 99.71 15 | 99.02 349 | 96.84 365 | 99.99 107 | 99.91 171 |
|
| test-mter | | | 98.96 173 | 98.82 165 | 99.40 204 | 99.40 315 | 99.28 181 | 100.00 1 | 99.45 110 | 95.44 363 | 99.42 267 | 99.12 404 | 99.70 16 | 99.01 350 | 96.82 366 | 99.99 107 | 99.91 171 |
|
| MSDG | | | 98.90 184 | 98.63 195 | 99.70 149 | 99.92 115 | 99.25 186 | 100.00 1 | 99.37 228 | 95.71 346 | 99.40 273 | 100.00 1 | 96.58 225 | 99.95 182 | 96.80 368 | 99.94 133 | 99.91 171 |
|
| viewdifsd2359ckpt11 | | | 97.98 275 | 97.89 275 | 98.26 317 | 99.47 290 | 94.98 397 | 99.99 258 | 99.22 331 | 96.74 269 | 99.24 283 | 100.00 1 | 90.14 366 | 99.90 218 | 99.49 226 | 96.73 320 | 99.90 182 |
|
| viewmsd2359difaftdt | | | 97.98 275 | 97.89 275 | 98.27 314 | 99.47 290 | 94.99 396 | 99.99 258 | 99.22 331 | 96.74 269 | 99.24 283 | 100.00 1 | 90.14 366 | 99.90 218 | 99.49 226 | 96.73 320 | 99.90 182 |
|
| MVSMamba_PlusPlus | | | 99.39 93 | 99.25 104 | 99.80 123 | 99.68 186 | 99.59 133 | 99.99 258 | 99.30 273 | 96.66 286 | 99.96 151 | 99.97 256 | 97.89 170 | 99.92 205 | 99.76 151 | 100.00 1 | 99.90 182 |
|
| test_fmvsmconf0.01_n | | | 98.60 225 | 98.24 252 | 99.67 154 | 96.90 453 | 99.21 192 | 99.99 258 | 99.04 434 | 98.80 77 | 99.57 256 | 99.96 274 | 90.12 369 | 99.91 207 | 99.89 121 | 99.89 148 | 99.90 182 |
|
| alignmvs | | | 99.38 96 | 99.21 113 | 99.91 83 | 99.73 174 | 99.92 59 | 100.00 1 | 99.51 81 | 97.61 177 | 100.00 1 | 100.00 1 | 99.06 104 | 99.93 199 | 99.83 134 | 97.12 311 | 99.90 182 |
|
| PVSNet_Blended | | | 99.48 82 | 99.36 89 | 99.83 110 | 99.98 93 | 99.60 131 | 100.00 1 | 100.00 1 | 97.79 155 | 100.00 1 | 100.00 1 | 96.57 226 | 99.99 107 | 100.00 1 | 99.88 151 | 99.90 182 |
|
| EPMVS | | | 99.25 126 | 99.13 126 | 99.60 167 | 99.60 225 | 99.20 193 | 99.60 403 | 100.00 1 | 96.93 244 | 99.92 191 | 99.36 392 | 99.05 106 | 99.71 277 | 98.77 282 | 98.94 204 | 99.90 182 |
|
| PCF-MVS | | 98.23 3 | 98.69 210 | 98.37 240 | 99.62 163 | 99.78 166 | 99.02 210 | 99.23 447 | 99.06 429 | 96.43 310 | 98.08 377 | 100.00 1 | 94.72 268 | 99.95 182 | 98.16 314 | 99.91 145 | 99.90 182 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| dongtai | | | 98.29 259 | 98.25 249 | 98.42 303 | 99.58 234 | 95.86 380 | 100.00 1 | 99.44 124 | 93.46 416 | 99.69 242 | 99.97 256 | 97.53 190 | 99.51 311 | 96.28 381 | 98.27 253 | 99.89 190 |
|
| kuosan | | | 98.55 233 | 98.53 212 | 98.62 288 | 99.66 203 | 96.16 375 | 100.00 1 | 99.44 124 | 93.93 403 | 99.81 224 | 99.98 244 | 97.58 185 | 99.81 250 | 98.08 316 | 98.28 250 | 99.89 190 |
|
| GA-MVS | | | 97.72 288 | 97.27 305 | 99.06 256 | 99.24 335 | 97.93 317 | 100.00 1 | 99.24 321 | 95.80 345 | 98.99 306 | 99.64 354 | 89.77 376 | 99.36 331 | 95.12 407 | 97.62 307 | 99.89 190 |
|
| baseline1 | | | 98.91 182 | 98.61 198 | 99.81 117 | 99.71 176 | 99.77 106 | 99.78 369 | 99.44 124 | 97.51 192 | 98.81 322 | 99.99 236 | 98.25 158 | 99.76 265 | 98.60 295 | 95.41 334 | 99.89 190 |
|
| tpmvs | | | 98.59 226 | 98.38 238 | 99.23 248 | 99.69 181 | 97.90 318 | 99.31 435 | 99.47 84 | 94.52 384 | 99.68 243 | 99.28 396 | 97.64 184 | 99.89 220 | 97.71 335 | 98.17 266 | 99.89 190 |
|
| EPNet | | | 99.62 63 | 99.69 25 | 99.42 198 | 99.99 52 | 98.37 270 | 100.00 1 | 99.89 42 | 98.83 70 | 100.00 1 | 100.00 1 | 98.97 117 | 100.00 1 | 99.90 119 | 99.61 185 | 99.89 190 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| PVSNet_Blended_VisFu | | | 99.33 108 | 99.18 121 | 99.78 133 | 99.82 137 | 99.49 155 | 100.00 1 | 99.95 19 | 97.36 206 | 99.63 251 | 100.00 1 | 96.45 230 | 99.95 182 | 99.79 142 | 99.65 181 | 99.89 190 |
|
| dp | | | 98.72 202 | 98.61 198 | 99.03 261 | 99.53 251 | 97.39 339 | 99.45 419 | 99.39 221 | 95.62 349 | 99.94 185 | 99.52 378 | 98.83 134 | 99.82 247 | 96.77 371 | 98.42 225 | 99.89 190 |
|
| sss | | | 99.45 86 | 99.34 93 | 99.80 123 | 99.76 169 | 99.50 151 | 100.00 1 | 99.91 40 | 97.72 160 | 99.98 138 | 99.94 287 | 98.45 152 | 100.00 1 | 99.53 220 | 98.75 210 | 99.89 190 |
|
| Test_1112_low_res | | | 98.83 191 | 98.60 201 | 99.51 178 | 99.69 181 | 98.75 233 | 99.99 258 | 99.14 393 | 96.81 257 | 98.84 319 | 99.06 408 | 97.45 195 | 99.89 220 | 98.66 287 | 97.75 299 | 99.89 190 |
|
| 1112_ss | | | 98.91 182 | 98.71 184 | 99.51 178 | 99.69 181 | 98.75 233 | 99.99 258 | 99.15 386 | 96.82 256 | 98.84 319 | 100.00 1 | 97.45 195 | 99.89 220 | 98.66 287 | 97.75 299 | 99.89 190 |
|
| MDTV_nov1_ep13_2view | | | | | | | 99.24 188 | 99.56 407 | | 96.31 324 | 99.96 151 | | 98.86 130 | | 98.92 274 | | 99.89 190 |
|
| Vis-MVSNet (Re-imp) | | | 98.99 166 | 98.89 161 | 99.29 239 | 99.64 211 | 98.89 225 | 99.98 290 | 99.31 267 | 96.74 269 | 99.48 261 | 100.00 1 | 98.11 162 | 99.10 345 | 98.39 303 | 98.34 240 | 99.89 190 |
|
| myMVS_eth3d28 | | | 99.41 91 | 99.28 96 | 99.80 123 | 99.69 181 | 99.53 144 | 100.00 1 | 99.43 133 | 97.12 228 | 99.98 138 | 99.97 256 | 99.41 65 | 100.00 1 | 99.81 141 | 98.07 275 | 99.88 203 |
|
| UBG | | | 99.36 100 | 99.27 98 | 99.63 161 | 99.63 213 | 99.01 212 | 100.00 1 | 99.43 133 | 96.99 238 | 100.00 1 | 99.92 293 | 99.69 17 | 99.99 107 | 99.74 156 | 98.06 276 | 99.88 203 |
|
| ETVMVS | | | 99.16 137 | 98.98 144 | 99.69 150 | 99.67 194 | 99.56 137 | 100.00 1 | 99.45 110 | 96.36 319 | 99.98 138 | 99.95 281 | 98.65 143 | 99.64 282 | 99.11 264 | 97.63 306 | 99.88 203 |
|
| GeoE | | | 98.06 271 | 97.65 290 | 99.29 239 | 99.47 290 | 98.41 263 | 100.00 1 | 99.19 363 | 94.85 371 | 98.88 314 | 100.00 1 | 91.21 338 | 99.59 286 | 97.02 358 | 98.19 264 | 99.88 203 |
|
| UA-Net | | | 99.06 147 | 98.83 164 | 99.74 140 | 99.52 265 | 99.40 168 | 99.08 466 | 99.45 110 | 97.64 170 | 99.83 209 | 100.00 1 | 95.80 239 | 99.94 195 | 98.35 305 | 99.80 170 | 99.88 203 |
|
| ADS-MVSNet2 | | | 98.28 261 | 98.51 218 | 97.62 364 | 99.51 270 | 95.03 395 | 99.24 440 | 99.41 201 | 95.52 354 | 99.96 151 | 99.70 338 | 97.57 187 | 97.94 450 | 97.11 356 | 98.54 217 | 99.88 203 |
|
| ADS-MVSNet | | | 98.70 208 | 98.51 218 | 99.28 242 | 99.51 270 | 98.39 266 | 99.24 440 | 99.44 124 | 95.52 354 | 99.96 151 | 99.70 338 | 97.57 187 | 99.58 290 | 97.11 356 | 98.54 217 | 99.88 203 |
|
| mvs_anonymous | | | 98.80 193 | 98.60 201 | 99.38 211 | 99.57 238 | 99.24 188 | 100.00 1 | 99.21 350 | 95.87 339 | 98.92 311 | 99.82 316 | 96.39 231 | 99.03 348 | 99.13 262 | 98.50 219 | 99.88 203 |
|
| tpm | | | 98.24 263 | 98.22 256 | 98.32 311 | 99.13 340 | 95.79 381 | 99.53 412 | 99.12 405 | 95.20 365 | 99.96 151 | 99.36 392 | 97.58 185 | 99.28 338 | 97.41 347 | 96.67 322 | 99.88 203 |
|
| EC-MVSNet | | | 99.19 133 | 99.09 131 | 99.48 186 | 99.42 308 | 99.07 203 | 100.00 1 | 99.21 350 | 96.95 242 | 99.96 151 | 100.00 1 | 96.88 217 | 99.48 316 | 99.64 192 | 99.79 171 | 99.88 203 |
|
| IS-MVSNet | | | 99.08 143 | 98.91 157 | 99.59 169 | 99.65 205 | 99.38 169 | 99.78 369 | 99.24 321 | 96.70 281 | 99.51 259 | 100.00 1 | 98.44 153 | 99.52 309 | 98.47 300 | 98.39 228 | 99.88 203 |
|
| GDP-MVS | | | 99.39 93 | 99.26 102 | 99.77 136 | 99.53 251 | 99.55 139 | 100.00 1 | 99.11 407 | 97.14 224 | 99.96 151 | 100.00 1 | 99.83 5 | 99.89 220 | 98.47 300 | 99.26 194 | 99.87 214 |
|
| BP-MVS1 | | | 99.56 71 | 99.48 76 | 99.79 128 | 99.48 285 | 99.61 130 | 100.00 1 | 99.32 258 | 97.34 209 | 99.94 185 | 100.00 1 | 99.74 13 | 99.89 220 | 99.75 155 | 99.72 173 | 99.87 214 |
|
| CS-MVS | | | 99.33 108 | 99.27 98 | 99.50 181 | 99.99 52 | 99.00 215 | 100.00 1 | 99.13 399 | 97.26 217 | 99.96 151 | 100.00 1 | 97.79 178 | 99.64 282 | 99.64 192 | 99.67 178 | 99.87 214 |
|
| Fast-Effi-MVS+ | | | 98.40 249 | 98.02 270 | 99.55 177 | 99.63 213 | 99.06 205 | 100.00 1 | 99.15 386 | 95.07 366 | 99.42 267 | 99.95 281 | 93.26 304 | 99.73 273 | 97.44 345 | 98.24 259 | 99.87 214 |
|
| dmvs_testset | | | 93.27 418 | 95.48 385 | 86.65 467 | 98.74 385 | 68.42 496 | 99.92 331 | 98.91 449 | 96.19 332 | 93.28 461 | 100.00 1 | 91.06 344 | 91.67 492 | 89.64 459 | 91.54 401 | 99.86 218 |
|
| testing3-2 | | | 99.45 86 | 99.31 94 | 99.86 100 | 99.70 178 | 99.73 113 | 100.00 1 | 99.47 84 | 97.46 197 | 99.97 144 | 99.97 256 | 99.48 51 | 100.00 1 | 99.78 148 | 97.99 278 | 99.85 219 |
|
| MVS-HIRNet | | | 94.12 406 | 92.73 422 | 98.29 312 | 99.33 325 | 95.95 376 | 99.38 427 | 99.19 363 | 74.54 491 | 98.26 371 | 86.34 495 | 86.07 423 | 99.06 347 | 91.60 443 | 99.87 156 | 99.85 219 |
|
| CR-MVSNet | | | 98.02 274 | 97.71 288 | 98.93 268 | 99.31 326 | 98.86 226 | 99.13 460 | 99.00 441 | 96.53 301 | 99.96 151 | 98.98 418 | 96.94 214 | 98.10 439 | 91.18 445 | 98.40 226 | 99.84 221 |
|
| RPMNet | | | 95.26 395 | 93.82 404 | 99.56 176 | 99.31 326 | 98.86 226 | 99.13 460 | 99.42 152 | 79.82 483 | 99.96 151 | 95.13 481 | 95.69 243 | 99.98 140 | 77.54 489 | 98.40 226 | 99.84 221 |
|
| ab-mvs | | | 98.42 246 | 98.02 270 | 99.61 165 | 99.71 176 | 99.00 215 | 99.10 463 | 99.64 69 | 96.70 281 | 99.04 304 | 99.81 319 | 90.64 353 | 99.98 140 | 99.64 192 | 97.93 284 | 99.84 221 |
|
| SymmetryMVS | | | 99.30 114 | 99.25 104 | 99.45 190 | 99.79 161 | 98.55 249 | 99.94 323 | 99.47 84 | 98.39 103 | 100.00 1 | 100.00 1 | 98.44 153 | 99.98 140 | 99.36 240 | 97.83 292 | 99.83 224 |
|
| FE-MVS | | | 99.16 137 | 98.99 143 | 99.66 157 | 99.65 205 | 99.18 196 | 99.58 405 | 99.43 133 | 95.24 364 | 99.91 194 | 99.59 366 | 99.37 69 | 99.97 149 | 98.31 307 | 99.81 167 | 99.83 224 |
|
| Anonymous20240529 | | | 96.93 331 | 96.22 348 | 99.05 258 | 99.79 161 | 97.30 346 | 99.16 456 | 99.47 84 | 88.51 458 | 98.69 327 | 100.00 1 | 83.50 442 | 100.00 1 | 99.83 134 | 97.02 314 | 99.83 224 |
|
| CVMVSNet | | | 98.56 232 | 98.47 221 | 98.82 276 | 99.11 342 | 97.67 329 | 99.74 379 | 99.47 84 | 97.57 183 | 99.06 301 | 100.00 1 | 95.72 241 | 98.97 356 | 98.21 313 | 97.33 309 | 99.83 224 |
|
| tpm2 | | | 98.64 214 | 98.58 204 | 98.81 279 | 99.42 308 | 97.12 353 | 99.69 392 | 99.37 228 | 93.63 410 | 99.94 185 | 99.67 346 | 98.96 120 | 99.47 318 | 98.62 294 | 97.95 283 | 99.83 224 |
|
| DeepC-MVS | | 97.84 5 | 99.00 162 | 98.80 168 | 99.60 167 | 99.93 112 | 99.03 208 | 100.00 1 | 99.40 205 | 98.61 92 | 99.33 278 | 100.00 1 | 92.23 327 | 99.95 182 | 99.74 156 | 99.96 125 | 99.83 224 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| E3new | | | 98.95 176 | 98.80 168 | 99.41 199 | 99.57 238 | 98.50 258 | 100.00 1 | 99.22 331 | 96.84 254 | 99.89 199 | 100.00 1 | 95.70 242 | 99.93 199 | 99.57 212 | 98.39 228 | 99.82 230 |
|
| E2 | | | 98.77 195 | 98.57 205 | 99.37 212 | 99.53 251 | 98.38 269 | 99.98 290 | 99.22 331 | 96.77 262 | 99.75 232 | 100.00 1 | 94.03 286 | 99.91 207 | 99.53 220 | 98.35 236 | 99.82 230 |
|
| E3 | | | 98.77 195 | 98.57 205 | 99.36 214 | 99.47 290 | 98.36 273 | 99.98 290 | 99.22 331 | 96.76 263 | 99.75 232 | 100.00 1 | 94.10 284 | 99.91 207 | 99.53 220 | 98.35 236 | 99.82 230 |
|
| viewdifsd2359ckpt07 | | | 98.72 202 | 98.52 213 | 99.34 218 | 99.47 290 | 98.28 283 | 99.99 258 | 99.20 360 | 96.98 239 | 99.60 253 | 100.00 1 | 93.45 299 | 99.93 199 | 99.58 209 | 98.36 234 | 99.82 230 |
|
| viewcassd2359sk11 | | | 98.90 184 | 98.73 178 | 99.40 204 | 99.57 238 | 98.47 259 | 99.99 258 | 99.22 331 | 96.79 259 | 99.82 218 | 100.00 1 | 95.24 250 | 99.91 207 | 99.54 217 | 98.38 231 | 99.82 230 |
|
| testing11 | | | 99.26 122 | 99.19 118 | 99.46 188 | 99.64 211 | 98.61 245 | 100.00 1 | 99.43 133 | 96.94 243 | 99.92 191 | 99.94 287 | 99.43 59 | 99.97 149 | 99.67 184 | 97.79 297 | 99.82 230 |
|
| Syy-MVS | | | 96.17 371 | 96.57 331 | 95.00 435 | 99.50 278 | 87.37 474 | 100.00 1 | 99.57 73 | 96.23 327 | 98.07 378 | 100.00 1 | 92.41 326 | 97.81 453 | 85.34 473 | 97.96 281 | 99.82 230 |
|
| myMVS_eth3d | | | 98.52 238 | 98.51 218 | 98.53 294 | 99.50 278 | 97.98 311 | 100.00 1 | 99.57 73 | 96.23 327 | 98.07 378 | 100.00 1 | 99.09 99 | 97.81 453 | 96.17 382 | 97.96 281 | 99.82 230 |
|
| testing3 | | | 98.44 243 | 98.37 240 | 98.65 286 | 99.51 270 | 98.32 279 | 100.00 1 | 99.62 71 | 96.43 310 | 97.93 387 | 99.99 236 | 99.11 97 | 97.81 453 | 94.88 410 | 97.80 295 | 99.82 230 |
|
| EIA-MVS | | | 99.26 122 | 99.19 118 | 99.45 190 | 99.63 213 | 98.75 233 | 100.00 1 | 99.27 305 | 96.93 244 | 99.95 182 | 100.00 1 | 97.47 194 | 99.79 255 | 99.74 156 | 99.72 173 | 99.82 230 |
|
| SPE-MVS-test | | | 99.31 112 | 99.27 98 | 99.43 195 | 99.99 52 | 98.77 232 | 100.00 1 | 99.19 363 | 97.24 218 | 99.96 151 | 100.00 1 | 97.56 189 | 99.70 279 | 99.68 180 | 99.81 167 | 99.82 230 |
|
| MVS_Test | | | 98.93 179 | 98.65 192 | 99.77 136 | 99.62 220 | 99.50 151 | 99.99 258 | 99.19 363 | 95.52 354 | 99.96 151 | 99.86 304 | 96.54 228 | 99.98 140 | 98.65 289 | 98.48 221 | 99.82 230 |
|
| diffmvs |  | | 98.96 173 | 98.73 178 | 99.63 161 | 99.54 248 | 99.16 198 | 100.00 1 | 99.18 370 | 97.33 211 | 99.96 151 | 100.00 1 | 94.60 272 | 99.91 207 | 99.66 189 | 98.33 243 | 99.82 230 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| tpmrst | | | 98.98 170 | 98.93 154 | 99.14 254 | 99.61 222 | 97.74 327 | 99.52 413 | 99.36 234 | 96.05 335 | 99.98 138 | 99.64 354 | 99.04 109 | 99.86 231 | 98.94 272 | 98.19 264 | 99.82 230 |
|
| casdiffseed414692147 | | | 98.31 255 | 97.94 273 | 99.40 204 | 99.46 297 | 98.67 240 | 99.91 337 | 99.17 379 | 96.33 322 | 98.66 331 | 99.97 256 | 90.47 361 | 99.71 277 | 99.36 240 | 98.16 267 | 99.81 244 |
|
| E5new | | | 98.63 219 | 98.41 228 | 99.31 233 | 99.51 270 | 98.21 291 | 99.79 364 | 99.21 350 | 96.62 294 | 99.67 248 | 100.00 1 | 93.15 309 | 99.91 207 | 99.46 232 | 98.26 255 | 99.81 244 |
|
| E6new | | | 98.64 214 | 98.41 228 | 99.30 237 | 99.46 297 | 98.19 294 | 99.79 364 | 99.21 350 | 96.62 294 | 99.68 243 | 100.00 1 | 93.24 305 | 99.91 207 | 99.47 229 | 98.26 255 | 99.81 244 |
|
| E6 | | | 98.64 214 | 98.41 228 | 99.30 237 | 99.46 297 | 98.19 294 | 99.79 364 | 99.21 350 | 96.62 294 | 99.68 243 | 100.00 1 | 93.24 305 | 99.91 207 | 99.47 229 | 98.26 255 | 99.81 244 |
|
| E5 | | | 98.63 219 | 98.41 228 | 99.31 233 | 99.51 270 | 98.21 291 | 99.79 364 | 99.21 350 | 96.62 294 | 99.67 248 | 100.00 1 | 93.15 309 | 99.91 207 | 99.46 232 | 98.26 255 | 99.81 244 |
|
| E4 | | | 98.68 212 | 98.46 222 | 99.33 226 | 99.51 270 | 98.27 285 | 99.96 306 | 99.21 350 | 96.66 286 | 99.68 243 | 100.00 1 | 93.38 300 | 99.91 207 | 99.49 226 | 98.27 253 | 99.81 244 |
|
| viewdifsd2359ckpt09 | | | 98.78 194 | 98.60 201 | 99.31 233 | 99.53 251 | 98.37 270 | 100.00 1 | 99.20 360 | 96.85 252 | 99.32 279 | 100.00 1 | 94.68 269 | 99.74 270 | 99.46 232 | 98.36 234 | 99.81 244 |
|
| viewdifsd2359ckpt13 | | | 98.72 202 | 98.52 213 | 99.34 218 | 99.55 245 | 98.46 260 | 99.99 258 | 99.22 331 | 96.50 307 | 99.05 302 | 100.00 1 | 94.54 273 | 99.73 273 | 99.46 232 | 98.35 236 | 99.81 244 |
|
| viewmacassd2359aftdt | | | 98.57 230 | 98.31 245 | 99.33 226 | 99.49 282 | 98.31 281 | 99.89 343 | 99.21 350 | 96.87 251 | 99.10 295 | 100.00 1 | 92.48 325 | 99.88 228 | 99.50 224 | 98.28 250 | 99.81 244 |
|
| viewmanbaseed2359cas | | | 98.86 188 | 98.68 190 | 99.40 204 | 99.51 270 | 98.51 257 | 99.98 290 | 99.22 331 | 97.05 234 | 99.72 239 | 100.00 1 | 94.77 265 | 99.89 220 | 99.58 209 | 98.31 246 | 99.81 244 |
|
| testing91 | | | 99.18 134 | 99.10 129 | 99.41 199 | 99.60 225 | 98.43 261 | 100.00 1 | 99.43 133 | 96.76 263 | 99.82 218 | 99.92 293 | 99.05 106 | 99.98 140 | 99.62 199 | 97.67 303 | 99.81 244 |
|
| testing99 | | | 99.18 134 | 99.10 129 | 99.41 199 | 99.60 225 | 98.43 261 | 100.00 1 | 99.43 133 | 96.76 263 | 99.84 206 | 99.92 293 | 99.06 104 | 99.98 140 | 99.62 199 | 97.67 303 | 99.81 244 |
|
| testing222 | | | 99.14 139 | 98.94 152 | 99.73 143 | 99.67 194 | 99.51 149 | 100.00 1 | 99.43 133 | 96.90 249 | 99.99 127 | 99.90 298 | 98.55 149 | 99.86 231 | 98.85 277 | 97.18 310 | 99.81 244 |
|
| MonoMVSNet | | | 98.55 233 | 98.64 194 | 98.26 317 | 98.21 410 | 95.76 382 | 99.94 323 | 99.16 381 | 96.23 327 | 99.47 264 | 99.24 398 | 96.75 221 | 99.22 340 | 99.61 202 | 99.17 195 | 99.81 244 |
|
| ETV-MVS | | | 99.34 105 | 99.24 108 | 99.64 160 | 99.58 234 | 99.33 175 | 100.00 1 | 99.25 315 | 97.57 183 | 99.96 151 | 100.00 1 | 97.44 197 | 99.79 255 | 99.70 170 | 99.65 181 | 99.81 244 |
|
| thisisatest0515 | | | 99.42 90 | 99.31 94 | 99.74 140 | 99.59 229 | 99.55 139 | 100.00 1 | 99.46 102 | 96.65 288 | 99.92 191 | 100.00 1 | 99.44 55 | 99.85 238 | 99.09 266 | 99.63 184 | 99.81 244 |
|
| Effi-MVS+ | | | 98.58 228 | 98.24 252 | 99.61 165 | 99.60 225 | 99.26 184 | 97.85 487 | 99.10 410 | 96.22 330 | 99.97 144 | 99.89 299 | 93.75 292 | 99.77 261 | 99.43 236 | 98.34 240 | 99.81 244 |
|
| RRT-MVS | | | 98.75 201 | 98.52 213 | 99.44 192 | 99.65 205 | 98.57 248 | 99.90 339 | 99.08 416 | 96.51 305 | 99.96 151 | 99.95 281 | 92.59 322 | 99.96 169 | 99.60 204 | 99.45 191 | 99.81 244 |
|
| casdiffmvs |  | | 98.65 213 | 98.38 238 | 99.46 188 | 99.52 265 | 98.74 236 | 100.00 1 | 99.15 386 | 96.91 247 | 99.05 302 | 100.00 1 | 92.75 317 | 99.83 244 | 99.70 170 | 98.38 231 | 99.81 244 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| mvsmamba | | | 99.05 149 | 98.98 144 | 99.27 245 | 99.57 238 | 98.10 302 | 100.00 1 | 99.28 290 | 95.92 338 | 99.96 151 | 99.97 256 | 96.73 222 | 99.89 220 | 99.72 162 | 99.65 181 | 99.81 244 |
|
| lupinMVS | | | 99.29 117 | 99.16 122 | 99.69 150 | 99.45 304 | 99.49 155 | 100.00 1 | 99.15 386 | 97.45 199 | 99.97 144 | 100.00 1 | 96.76 219 | 99.76 265 | 99.67 184 | 100.00 1 | 99.81 244 |
|
| casdiffmvs_mvg |  | | 98.64 214 | 98.39 236 | 99.40 204 | 99.50 278 | 98.60 246 | 100.00 1 | 99.22 331 | 96.85 252 | 99.10 295 | 100.00 1 | 92.75 317 | 99.78 260 | 99.71 166 | 98.35 236 | 99.81 244 |
| 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 | | | 98.69 210 | 98.45 223 | 99.41 199 | 99.52 265 | 98.67 240 | 100.00 1 | 99.17 379 | 97.03 235 | 99.13 292 | 100.00 1 | 93.17 307 | 99.74 270 | 99.70 170 | 98.34 240 | 99.81 244 |
|
| tpm cat1 | | | 98.05 272 | 97.76 282 | 98.92 269 | 99.50 278 | 97.10 355 | 99.77 374 | 99.30 273 | 90.20 452 | 99.72 239 | 98.71 435 | 97.71 180 | 99.86 231 | 96.75 372 | 98.20 263 | 99.81 244 |
|
| CostFormer | | | 98.84 190 | 98.77 173 | 99.04 260 | 99.41 310 | 97.58 333 | 99.67 395 | 99.35 245 | 94.66 379 | 99.96 151 | 99.36 392 | 99.28 83 | 99.74 270 | 99.41 238 | 97.81 294 | 99.81 244 |
|
| PatchT | | | 95.90 383 | 94.95 399 | 98.75 283 | 99.03 354 | 98.39 266 | 99.08 466 | 99.32 258 | 85.52 474 | 99.96 151 | 94.99 483 | 97.94 166 | 98.05 445 | 80.20 484 | 98.47 222 | 99.81 244 |
|
| BH-untuned | | | 98.64 214 | 98.65 192 | 98.60 290 | 99.59 229 | 96.17 374 | 100.00 1 | 99.28 290 | 96.67 285 | 98.41 357 | 100.00 1 | 94.52 274 | 99.83 244 | 99.41 238 | 100.00 1 | 99.81 244 |
|
| viewmambaseed2359dif | | | 98.57 230 | 98.34 244 | 99.28 242 | 99.46 297 | 98.23 288 | 100.00 1 | 99.16 381 | 96.26 326 | 99.11 294 | 100.00 1 | 93.12 312 | 99.79 255 | 99.61 202 | 98.33 243 | 99.80 271 |
|
| fmvsm_s_conf0.5_n_7 | | | 98.98 170 | 98.85 163 | 99.37 212 | 99.67 194 | 98.34 276 | 100.00 1 | 99.31 267 | 98.97 37 | 100.00 1 | 100.00 1 | 91.70 333 | 99.97 149 | 99.99 76 | 99.97 121 | 99.80 271 |
|
| UWE-MVS-28 | | | 99.29 117 | 99.23 111 | 99.48 186 | 99.73 174 | 98.86 226 | 100.00 1 | 99.43 133 | 96.97 241 | 99.99 127 | 99.83 312 | 99.43 59 | 99.77 261 | 99.35 244 | 98.31 246 | 99.80 271 |
|
| UWE-MVS | | | 99.18 134 | 99.06 133 | 99.51 178 | 99.67 194 | 98.80 230 | 100.00 1 | 99.43 133 | 96.80 258 | 99.93 190 | 99.86 304 | 99.79 8 | 99.94 195 | 97.78 333 | 98.33 243 | 99.80 271 |
|
| thisisatest0530 | | | 99.37 99 | 99.27 98 | 99.69 150 | 99.59 229 | 99.41 167 | 100.00 1 | 99.46 102 | 96.46 309 | 99.90 196 | 100.00 1 | 99.44 55 | 99.85 238 | 98.97 271 | 99.58 186 | 99.80 271 |
|
| MIMVSNet | | | 97.06 324 | 96.73 325 | 98.05 343 | 99.38 319 | 96.64 367 | 98.47 483 | 99.35 245 | 93.41 417 | 99.48 261 | 98.53 448 | 89.66 380 | 97.70 459 | 94.16 420 | 98.11 273 | 99.80 271 |
|
| diffmvs_AUTHOR | | | 98.92 180 | 98.73 178 | 99.49 185 | 99.48 285 | 98.81 229 | 99.94 323 | 99.14 393 | 97.24 218 | 99.96 151 | 100.00 1 | 94.85 262 | 99.87 230 | 99.67 184 | 98.31 246 | 99.79 277 |
|
| SDMVSNet | | | 98.49 241 | 98.08 264 | 99.73 143 | 99.82 137 | 99.53 144 | 99.99 258 | 99.45 110 | 97.62 173 | 99.38 275 | 99.86 304 | 90.06 372 | 99.88 228 | 99.92 116 | 96.61 324 | 99.79 277 |
|
| sd_testset | | | 97.81 284 | 97.48 293 | 98.79 280 | 99.82 137 | 96.80 362 | 99.32 432 | 99.45 110 | 97.62 173 | 99.38 275 | 99.86 304 | 85.56 429 | 99.77 261 | 99.72 162 | 96.61 324 | 99.79 277 |
|
| FA-MVS(test-final) | | | 99.00 162 | 98.75 175 | 99.73 143 | 99.63 213 | 99.43 165 | 99.83 354 | 99.43 133 | 95.84 344 | 99.52 258 | 99.37 391 | 97.84 175 | 99.96 169 | 97.63 338 | 99.68 176 | 99.79 277 |
|
| tttt0517 | | | 99.34 105 | 99.23 111 | 99.67 154 | 99.57 238 | 99.38 169 | 100.00 1 | 99.46 102 | 96.33 322 | 99.89 199 | 100.00 1 | 99.44 55 | 99.84 242 | 98.93 273 | 99.46 190 | 99.78 281 |
|
| BH-RMVSNet | | | 98.46 242 | 98.08 264 | 99.59 169 | 99.61 222 | 99.19 194 | 100.00 1 | 99.28 290 | 97.06 233 | 98.95 307 | 100.00 1 | 88.99 390 | 99.82 247 | 98.83 280 | 100.00 1 | 99.77 282 |
|
| CDS-MVSNet | | | 98.96 173 | 98.95 151 | 99.01 262 | 99.48 285 | 98.36 273 | 99.93 329 | 99.37 228 | 96.79 259 | 99.31 280 | 99.83 312 | 99.77 11 | 98.91 362 | 98.07 318 | 97.98 279 | 99.77 282 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| Vis-MVSNet |  | | 98.52 238 | 98.25 249 | 99.34 218 | 99.68 186 | 98.55 249 | 99.68 394 | 99.41 201 | 97.34 209 | 99.94 185 | 100.00 1 | 90.38 363 | 99.70 279 | 99.03 268 | 98.84 205 | 99.76 284 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| mamba_0408 | | | 98.63 219 | 98.40 233 | 99.34 218 | 99.53 251 | 98.52 254 | 99.24 440 | 99.16 381 | 96.43 310 | 98.95 307 | 99.98 244 | 94.47 275 | 99.76 265 | 99.21 258 | 98.62 212 | 99.75 285 |
|
| SSM_04072 | | | 98.59 226 | 98.40 233 | 99.15 252 | 99.53 251 | 98.52 254 | 99.24 440 | 99.16 381 | 96.43 310 | 98.95 307 | 99.98 244 | 94.47 275 | 99.19 342 | 99.21 258 | 98.62 212 | 99.75 285 |
|
| SSM_0407 | | | 98.72 202 | 98.52 213 | 99.33 226 | 99.53 251 | 98.52 254 | 99.88 346 | 99.15 386 | 96.53 301 | 98.95 307 | 100.00 1 | 94.38 278 | 99.72 275 | 99.64 192 | 98.62 212 | 99.75 285 |
|
| NormalMVS | | | 99.47 84 | 99.48 76 | 99.43 195 | 99.99 52 | 98.55 249 | 99.94 323 | 99.28 290 | 98.39 103 | 100.00 1 | 100.00 1 | 98.44 153 | 99.98 140 | 99.36 240 | 99.92 140 | 99.75 285 |
|
| KinetiMVS | | | 98.61 223 | 98.26 248 | 99.65 159 | 99.46 297 | 99.24 188 | 99.96 306 | 99.44 124 | 97.54 185 | 99.99 127 | 99.99 236 | 90.83 350 | 99.95 182 | 97.18 354 | 99.92 140 | 99.75 285 |
|
| guyue | | | 99.21 131 | 99.07 132 | 99.62 163 | 99.55 245 | 99.29 179 | 100.00 1 | 99.32 258 | 97.66 166 | 99.96 151 | 100.00 1 | 95.84 238 | 99.84 242 | 99.63 197 | 99.67 178 | 99.75 285 |
|
| EPP-MVSNet | | | 99.10 142 | 99.00 141 | 99.40 204 | 99.51 270 | 98.68 239 | 99.92 331 | 99.43 133 | 95.47 358 | 99.65 250 | 100.00 1 | 99.51 40 | 99.76 265 | 99.53 220 | 98.00 277 | 99.75 285 |
|
| icg_test_0407_2 | | | 98.30 256 | 98.45 223 | 97.85 357 | 99.38 319 | 95.36 386 | 99.99 258 | 99.18 370 | 96.72 275 | 99.58 254 | 100.00 1 | 95.17 255 | 98.45 408 | 97.84 328 | 98.15 268 | 99.74 292 |
|
| IMVS_0407 | | | 98.36 253 | 98.42 226 | 98.19 324 | 99.38 319 | 95.36 386 | 99.73 384 | 99.18 370 | 96.72 275 | 99.58 254 | 100.00 1 | 95.17 255 | 99.47 318 | 97.84 328 | 98.15 268 | 99.74 292 |
|
| IMVS_0404 | | | 97.87 280 | 97.89 275 | 97.81 359 | 99.38 319 | 95.36 386 | 99.84 352 | 99.18 370 | 96.72 275 | 98.41 357 | 100.00 1 | 91.43 336 | 98.32 416 | 97.84 328 | 98.15 268 | 99.74 292 |
|
| IMVS_0403 | | | 98.37 251 | 98.39 236 | 98.29 312 | 99.38 319 | 95.36 386 | 99.97 299 | 99.18 370 | 96.72 275 | 99.68 243 | 100.00 1 | 94.61 271 | 99.77 261 | 97.84 328 | 98.15 268 | 99.74 292 |
|
| AstraMVS | | | 99.03 153 | 99.01 138 | 99.09 255 | 99.46 297 | 97.66 330 | 100.00 1 | 99.23 326 | 97.83 150 | 99.95 182 | 100.00 1 | 95.52 246 | 99.86 231 | 99.74 156 | 99.39 192 | 99.74 292 |
|
| xiu_mvs_v2_base | | | 99.51 75 | 99.41 80 | 99.82 112 | 99.70 178 | 99.73 113 | 99.92 331 | 99.40 205 | 98.15 123 | 100.00 1 | 100.00 1 | 98.50 151 | 100.00 1 | 99.85 130 | 99.13 197 | 99.74 292 |
|
| PS-MVSNAJ | | | 99.64 54 | 99.57 55 | 99.85 104 | 99.78 166 | 99.81 99 | 99.95 315 | 99.42 152 | 98.38 105 | 100.00 1 | 100.00 1 | 98.75 139 | 100.00 1 | 99.88 123 | 99.99 107 | 99.74 292 |
|
| MVSFormer | | | 98.94 178 | 98.82 165 | 99.28 242 | 99.45 304 | 99.49 155 | 100.00 1 | 99.13 399 | 95.46 359 | 99.97 144 | 100.00 1 | 96.76 219 | 98.59 395 | 98.63 292 | 100.00 1 | 99.74 292 |
|
| jason | | | 99.11 141 | 98.96 147 | 99.59 169 | 99.17 338 | 99.31 178 | 100.00 1 | 99.13 399 | 97.38 205 | 99.83 209 | 100.00 1 | 95.54 245 | 99.72 275 | 99.57 212 | 99.97 121 | 99.74 292 |
| jason: jason. |
| TAMVS | | | 98.76 198 | 98.73 178 | 98.86 273 | 99.44 306 | 97.69 328 | 99.57 406 | 99.34 252 | 96.57 298 | 99.12 293 | 99.81 319 | 98.83 134 | 99.16 343 | 97.97 324 | 97.91 285 | 99.73 301 |
|
| VDD-MVS | | | 96.58 346 | 95.99 357 | 98.34 309 | 99.52 265 | 95.33 390 | 99.18 450 | 99.38 224 | 96.64 289 | 99.77 229 | 100.00 1 | 72.51 477 | 100.00 1 | 100.00 1 | 96.94 316 | 99.70 302 |
|
| RPSCF | | | 97.37 308 | 98.24 252 | 94.76 440 | 99.80 156 | 84.57 479 | 99.99 258 | 99.05 431 | 94.95 369 | 99.82 218 | 100.00 1 | 94.03 286 | 100.00 1 | 98.15 315 | 98.38 231 | 99.70 302 |
|
| AllTest | | | 98.55 233 | 98.40 233 | 98.99 263 | 99.93 112 | 97.35 342 | 100.00 1 | 99.40 205 | 97.08 231 | 99.09 297 | 99.98 244 | 93.37 301 | 99.95 182 | 96.94 360 | 99.84 162 | 99.68 304 |
|
| TestCases | | | | | 98.99 263 | 99.93 112 | 97.35 342 | | 99.40 205 | 97.08 231 | 99.09 297 | 99.98 244 | 93.37 301 | 99.95 182 | 96.94 360 | 99.84 162 | 99.68 304 |
|
| xiu_mvs_v1_base_debu | | | 99.35 101 | 99.21 113 | 99.79 128 | 99.67 194 | 99.71 116 | 99.78 369 | 99.36 234 | 98.13 125 | 100.00 1 | 100.00 1 | 97.00 211 | 100.00 1 | 99.83 134 | 99.07 199 | 99.66 306 |
|
| xiu_mvs_v1_base | | | 99.35 101 | 99.21 113 | 99.79 128 | 99.67 194 | 99.71 116 | 99.78 369 | 99.36 234 | 98.13 125 | 100.00 1 | 100.00 1 | 97.00 211 | 100.00 1 | 99.83 134 | 99.07 199 | 99.66 306 |
|
| xiu_mvs_v1_base_debi | | | 99.35 101 | 99.21 113 | 99.79 128 | 99.67 194 | 99.71 116 | 99.78 369 | 99.36 234 | 98.13 125 | 100.00 1 | 100.00 1 | 97.00 211 | 100.00 1 | 99.83 134 | 99.07 199 | 99.66 306 |
|
| h-mvs33 | | | 97.03 326 | 96.53 332 | 98.51 295 | 99.79 161 | 95.90 379 | 99.45 419 | 99.45 110 | 98.21 117 | 100.00 1 | 99.78 329 | 97.49 192 | 99.99 107 | 99.72 162 | 74.92 478 | 99.65 309 |
|
| SSM_0404 | | | 98.76 198 | 98.56 208 | 99.35 216 | 99.53 251 | 98.65 243 | 99.80 363 | 99.15 386 | 96.53 301 | 99.47 264 | 100.00 1 | 94.38 278 | 99.76 265 | 99.64 192 | 98.59 215 | 99.64 310 |
|
| fmvsm_s_conf0.5_n_4 | | | 98.98 170 | 98.74 177 | 99.68 153 | 99.81 143 | 99.50 151 | 100.00 1 | 99.26 311 | 98.91 55 | 100.00 1 | 100.00 1 | 90.87 349 | 99.97 149 | 99.99 76 | 99.81 167 | 99.57 311 |
|
| OpenMVS |  | 95.20 17 | 98.76 198 | 98.41 228 | 99.78 133 | 98.89 373 | 99.81 99 | 99.99 258 | 99.76 54 | 98.02 133 | 98.02 383 | 100.00 1 | 91.44 335 | 100.00 1 | 99.63 197 | 99.97 121 | 99.55 312 |
|
| fmvsm_s_conf0.5_n_11 | | | 98.92 180 | 98.63 195 | 99.80 123 | 99.85 128 | 99.86 89 | 100.00 1 | 99.24 321 | 98.91 55 | 100.00 1 | 100.00 1 | 89.69 379 | 99.99 107 | 100.00 1 | 99.98 117 | 99.54 313 |
|
| cascas | | | 98.43 244 | 98.07 266 | 99.50 181 | 99.65 205 | 99.02 210 | 100.00 1 | 99.22 331 | 94.21 394 | 99.72 239 | 99.98 244 | 92.03 331 | 99.93 199 | 99.68 180 | 98.12 272 | 99.54 313 |
|
| LuminaMVS | | | 99.07 146 | 98.92 156 | 99.50 181 | 98.87 377 | 99.12 201 | 99.92 331 | 99.22 331 | 97.45 199 | 99.82 218 | 99.98 244 | 96.29 232 | 99.85 238 | 99.71 166 | 99.05 202 | 99.52 315 |
|
| CANet_DTU | | | 99.02 159 | 98.90 160 | 99.41 199 | 99.88 123 | 98.71 237 | 100.00 1 | 99.29 282 | 98.84 68 | 100.00 1 | 100.00 1 | 94.02 288 | 100.00 1 | 98.08 316 | 99.96 125 | 99.52 315 |
|
| DSMNet-mixed | | | 95.18 396 | 95.21 393 | 95.08 432 | 96.03 459 | 90.21 463 | 99.65 396 | 93.64 500 | 92.91 428 | 98.34 363 | 97.40 468 | 90.05 373 | 95.51 480 | 91.02 447 | 97.86 288 | 99.51 317 |
|
| fmvsm_s_conf0.1_n_2 | | | 98.95 176 | 98.69 188 | 99.73 143 | 99.61 222 | 99.74 111 | 100.00 1 | 99.23 326 | 98.95 42 | 99.97 144 | 100.00 1 | 90.92 348 | 99.97 149 | 100.00 1 | 99.58 186 | 99.47 318 |
|
| sc_t1 | | | 92.52 425 | 91.34 429 | 96.09 423 | 97.80 428 | 89.86 465 | 98.61 480 | 99.12 405 | 77.73 484 | 96.09 437 | 99.79 328 | 68.64 483 | 98.94 359 | 96.94 360 | 87.31 442 | 99.46 319 |
|
| Fast-Effi-MVS+-dtu | | | 98.38 250 | 98.56 208 | 97.82 358 | 99.58 234 | 94.44 420 | 100.00 1 | 99.16 381 | 96.75 266 | 99.51 259 | 99.63 358 | 95.03 259 | 99.60 284 | 97.71 335 | 99.67 178 | 99.42 320 |
|
| UGNet | | | 98.41 248 | 98.11 260 | 99.31 233 | 99.54 248 | 98.55 249 | 99.18 450 | 100.00 1 | 98.64 91 | 99.79 226 | 99.04 411 | 87.61 408 | 100.00 1 | 99.30 250 | 99.89 148 | 99.40 321 |
| 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 |
| Elysia | | | 98.12 268 | 97.72 286 | 99.34 218 | 99.30 329 | 98.96 220 | 99.95 315 | 99.28 290 | 96.64 289 | 99.75 232 | 99.99 236 | 88.71 395 | 99.81 250 | 95.99 384 | 99.84 162 | 99.26 322 |
|
| StellarMVS | | | 98.12 268 | 97.72 286 | 99.34 218 | 99.30 329 | 98.96 220 | 99.95 315 | 99.28 290 | 96.64 289 | 99.75 232 | 99.99 236 | 88.71 395 | 99.81 250 | 95.99 384 | 99.84 162 | 99.26 322 |
|
| VDDNet | | | 96.39 358 | 95.55 380 | 98.90 270 | 99.27 332 | 97.45 337 | 99.15 458 | 99.92 39 | 91.28 440 | 99.98 138 | 100.00 1 | 73.55 473 | 100.00 1 | 99.85 130 | 96.98 315 | 99.24 324 |
|
| UniMVSNet_ETH3D | | | 95.28 394 | 94.41 400 | 97.89 355 | 98.91 371 | 95.14 393 | 99.13 460 | 99.35 245 | 92.11 435 | 97.17 415 | 99.66 348 | 70.28 481 | 99.36 331 | 97.88 326 | 95.18 347 | 99.16 325 |
|
| baseline2 | | | 98.99 166 | 98.93 154 | 99.18 251 | 99.26 334 | 99.15 199 | 100.00 1 | 99.46 102 | 96.71 280 | 96.79 424 | 100.00 1 | 99.42 63 | 99.25 339 | 98.75 284 | 99.94 133 | 99.15 326 |
|
| hse-mvs2 | | | 96.79 334 | 96.38 340 | 98.04 345 | 99.68 186 | 95.54 385 | 99.81 358 | 99.42 152 | 98.21 117 | 100.00 1 | 99.80 325 | 97.49 192 | 99.46 323 | 99.72 162 | 73.27 481 | 99.12 327 |
|
| AUN-MVS | | | 96.26 365 | 95.67 377 | 98.06 339 | 99.68 186 | 95.60 384 | 99.82 357 | 99.42 152 | 96.78 261 | 99.88 202 | 99.80 325 | 94.84 263 | 99.47 318 | 97.48 344 | 73.29 480 | 99.12 327 |
|
| tt0805 | | | 96.52 347 | 96.23 347 | 97.40 369 | 99.30 329 | 93.55 432 | 99.32 432 | 99.45 110 | 96.75 266 | 97.88 390 | 99.99 236 | 79.99 455 | 99.59 286 | 97.39 349 | 95.98 327 | 99.06 329 |
|
| test0.0.03 1 | | | 98.12 268 | 98.03 269 | 98.39 305 | 99.11 342 | 98.07 304 | 100.00 1 | 99.93 35 | 96.70 281 | 96.91 420 | 99.95 281 | 99.31 75 | 98.19 428 | 91.93 440 | 98.44 223 | 98.91 330 |
|
| testgi | | | 96.18 369 | 95.93 360 | 96.93 393 | 98.98 365 | 94.20 428 | 100.00 1 | 99.07 421 | 97.16 223 | 96.06 439 | 99.86 304 | 84.08 439 | 97.79 456 | 90.38 454 | 97.80 295 | 98.81 331 |
|
| Effi-MVS+-dtu | | | 98.51 240 | 98.86 162 | 97.47 368 | 99.77 168 | 94.21 427 | 100.00 1 | 98.94 446 | 97.61 177 | 99.91 194 | 98.75 434 | 95.89 236 | 99.51 311 | 99.36 240 | 99.48 189 | 98.68 332 |
|
| DeepMVS_CX |  | | | | 89.98 460 | 98.90 372 | 71.46 491 | | 99.18 370 | 97.61 177 | 96.92 418 | 99.83 312 | 86.07 423 | 99.83 244 | 96.02 383 | 97.65 305 | 98.65 333 |
|
| COLMAP_ROB |  | 97.10 7 | 98.29 259 | 98.17 257 | 98.65 286 | 99.94 110 | 97.39 339 | 99.30 436 | 99.40 205 | 95.64 347 | 97.75 397 | 100.00 1 | 92.69 321 | 99.95 182 | 98.89 275 | 99.92 140 | 98.62 334 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| XVG-OURS-SEG-HR | | | 98.27 262 | 98.31 245 | 98.14 329 | 99.59 229 | 95.92 377 | 100.00 1 | 99.36 234 | 98.48 98 | 99.21 286 | 100.00 1 | 89.27 386 | 99.94 195 | 99.76 151 | 99.17 195 | 98.56 335 |
|
| XVG-OURS | | | 98.30 256 | 98.36 242 | 98.13 332 | 99.58 234 | 95.91 378 | 100.00 1 | 99.36 234 | 98.69 86 | 99.23 285 | 100.00 1 | 91.20 339 | 99.92 205 | 99.34 246 | 97.82 293 | 98.56 335 |
|
| HQP4-MVS | | | | | | | | | | | 99.17 287 | | | 99.57 291 | | | 97.77 337 |
|
| HQP-MVS | | | 97.73 287 | 97.85 279 | 97.39 370 | 99.07 347 | 94.82 401 | 100.00 1 | 99.40 205 | 99.04 20 | 99.17 287 | 99.97 256 | 88.61 398 | 99.57 291 | 99.79 142 | 95.58 328 | 97.77 337 |
|
| WBMVS | | | 98.19 266 | 98.10 263 | 98.47 297 | 99.63 213 | 99.03 208 | 100.00 1 | 99.32 258 | 95.46 359 | 98.39 359 | 99.40 389 | 99.69 17 | 98.61 390 | 98.64 290 | 92.39 386 | 97.76 339 |
|
| cl22 | | | 98.23 264 | 98.11 260 | 98.58 293 | 99.82 137 | 99.01 212 | 100.00 1 | 99.28 290 | 96.92 246 | 98.33 364 | 99.21 401 | 98.09 164 | 98.97 356 | 98.72 285 | 92.61 381 | 97.76 339 |
|
| miper_ehance_all_eth | | | 97.81 284 | 97.66 289 | 98.23 320 | 99.49 282 | 98.37 270 | 99.99 258 | 99.11 407 | 94.78 372 | 98.25 372 | 99.21 401 | 98.18 160 | 98.57 398 | 97.35 351 | 92.61 381 | 97.76 339 |
|
| miper_enhance_ethall | | | 98.33 254 | 98.27 247 | 98.51 295 | 99.66 203 | 99.04 207 | 100.00 1 | 99.22 331 | 97.53 188 | 98.51 350 | 99.38 390 | 99.49 47 | 98.75 378 | 98.02 320 | 92.61 381 | 97.76 339 |
|
| cl____ | | | 97.54 300 | 97.32 301 | 98.18 325 | 99.47 290 | 98.14 299 | 100.00 1 | 99.10 410 | 94.16 398 | 97.60 404 | 99.63 358 | 97.52 191 | 98.65 385 | 96.47 374 | 91.97 394 | 97.76 339 |
|
| DIV-MVS_self_test | | | 97.52 303 | 97.35 300 | 98.05 343 | 99.46 297 | 98.11 300 | 100.00 1 | 99.10 410 | 94.21 394 | 97.62 402 | 99.63 358 | 97.65 183 | 98.29 420 | 96.47 374 | 91.98 393 | 97.76 339 |
|
| miper_lstm_enhance | | | 97.40 307 | 97.28 303 | 97.75 361 | 99.48 285 | 97.52 334 | 100.00 1 | 99.07 421 | 94.08 400 | 98.01 384 | 99.61 364 | 97.38 199 | 97.98 448 | 96.44 377 | 91.47 405 | 97.76 339 |
|
| VPNet | | | 96.41 354 | 95.76 370 | 98.33 310 | 98.61 389 | 98.30 282 | 99.48 416 | 99.45 110 | 96.98 239 | 98.87 316 | 99.88 301 | 81.57 449 | 98.93 360 | 99.22 257 | 87.82 438 | 97.76 339 |
|
| VPA-MVSNet | | | 97.03 326 | 96.43 338 | 98.82 276 | 98.64 388 | 99.32 176 | 99.38 427 | 99.47 84 | 96.73 273 | 98.91 313 | 98.94 423 | 87.00 415 | 99.40 329 | 99.23 255 | 89.59 421 | 97.76 339 |
|
| HQP_MVS | | | 97.71 289 | 97.82 281 | 97.37 371 | 99.00 361 | 94.80 404 | 100.00 1 | 99.40 205 | 99.00 32 | 99.08 299 | 99.97 256 | 88.58 400 | 99.55 300 | 99.79 142 | 95.57 332 | 97.76 339 |
|
| plane_prior5 | | | | | | | | | 99.40 205 | | | | | 99.55 300 | 99.79 142 | 95.57 332 | 97.76 339 |
|
| wanda-best-256-512 | | | 93.76 409 | 92.74 420 | 96.84 398 | 95.22 469 | 94.54 418 | 100.00 1 | 99.22 331 | 87.22 464 | 98.54 341 | 98.56 443 | 90.48 357 | 98.22 425 | 95.67 393 | 69.73 484 | 97.75 350 |
|
| FE-blended-shiyan7 | | | 93.76 409 | 92.74 420 | 96.84 398 | 95.22 469 | 94.54 418 | 100.00 1 | 99.22 331 | 87.22 464 | 98.54 341 | 98.56 443 | 90.48 357 | 98.22 425 | 95.67 393 | 69.73 484 | 97.75 350 |
|
| blended_shiyan6 | | | 93.70 413 | 92.67 425 | 96.78 408 | 95.17 473 | 94.38 425 | 100.00 1 | 99.22 331 | 87.03 469 | 98.54 341 | 98.56 443 | 90.14 366 | 98.22 425 | 95.62 397 | 69.73 484 | 97.75 350 |
|
| usedtu_blend_shiyan5 | | | 92.75 423 | 91.39 428 | 96.82 404 | 95.22 469 | 94.40 422 | 99.05 470 | 98.64 462 | 75.98 490 | 98.54 341 | 98.56 443 | 90.48 357 | 98.31 417 | 96.31 379 | 69.73 484 | 97.75 350 |
|
| blend_shiyan4 | | | 95.76 385 | 95.40 390 | 96.82 404 | 95.50 467 | 94.40 422 | 100.00 1 | 99.22 331 | 87.12 466 | 98.67 330 | 98.59 440 | 99.09 99 | 98.31 417 | 96.31 379 | 84.14 456 | 97.75 350 |
|
| our_test_3 | | | 96.51 349 | 96.35 342 | 96.98 390 | 97.61 436 | 95.05 394 | 99.98 290 | 99.01 440 | 94.68 378 | 96.77 426 | 99.06 408 | 95.87 237 | 98.14 432 | 91.81 441 | 92.37 387 | 97.75 350 |
|
| ppachtmachnet_test | | | 96.17 371 | 95.89 361 | 97.02 387 | 97.61 436 | 95.24 391 | 99.99 258 | 99.24 321 | 93.31 421 | 96.71 427 | 99.62 362 | 94.34 280 | 98.07 441 | 89.87 456 | 92.30 389 | 97.75 350 |
|
| c3_l | | | 97.58 296 | 97.42 295 | 98.06 339 | 99.48 285 | 98.16 296 | 99.96 306 | 99.10 410 | 94.54 383 | 98.13 376 | 99.20 403 | 97.87 172 | 98.25 423 | 97.28 352 | 91.20 408 | 97.75 350 |
|
| nrg030 | | | 97.64 290 | 97.27 305 | 98.75 283 | 98.34 398 | 99.53 144 | 100.00 1 | 99.22 331 | 96.21 331 | 98.27 370 | 99.95 281 | 94.40 277 | 98.98 354 | 99.23 255 | 89.78 420 | 97.75 350 |
|
| v144192 | | | 96.40 357 | 95.81 365 | 98.17 327 | 97.89 424 | 98.11 300 | 99.99 258 | 99.06 429 | 93.39 418 | 98.75 325 | 99.09 406 | 90.43 362 | 98.66 383 | 93.10 432 | 90.55 415 | 97.75 350 |
|
| v1921920 | | | 96.16 373 | 95.50 381 | 98.14 329 | 97.88 425 | 97.96 314 | 99.99 258 | 99.07 421 | 93.33 420 | 98.60 336 | 99.24 398 | 89.37 385 | 98.71 380 | 91.28 444 | 90.74 413 | 97.75 350 |
|
| v1192 | | | 96.18 369 | 95.49 383 | 98.26 317 | 98.01 419 | 98.15 297 | 99.99 258 | 99.08 416 | 93.36 419 | 98.54 341 | 98.97 421 | 89.47 384 | 98.89 365 | 91.15 446 | 90.82 411 | 97.75 350 |
|
| v148 | | | 96.29 363 | 95.84 364 | 97.63 362 | 97.74 431 | 96.53 371 | 100.00 1 | 99.07 421 | 93.52 413 | 98.01 384 | 99.42 387 | 91.22 337 | 98.60 393 | 96.37 378 | 87.22 444 | 97.75 350 |
|
| v1240 | | | 95.96 381 | 95.25 391 | 98.07 335 | 97.91 423 | 97.87 322 | 99.96 306 | 99.07 421 | 93.24 423 | 98.64 334 | 98.96 422 | 88.98 391 | 98.61 390 | 89.58 460 | 90.92 410 | 97.75 350 |
|
| v2v482 | | | 96.70 340 | 96.18 349 | 98.27 314 | 98.04 417 | 98.39 266 | 100.00 1 | 99.13 399 | 94.19 396 | 98.58 338 | 99.08 407 | 90.48 357 | 98.67 382 | 95.69 392 | 90.44 416 | 97.75 350 |
|
| EI-MVSNet | | | 97.98 275 | 97.93 274 | 98.16 328 | 99.11 342 | 97.84 323 | 99.74 379 | 99.29 282 | 94.39 389 | 98.65 332 | 100.00 1 | 97.21 202 | 98.88 368 | 97.62 341 | 95.31 338 | 97.75 350 |
|
| MDA-MVSNet-bldmvs | | | 91.65 434 | 89.94 443 | 96.79 407 | 96.72 454 | 96.70 365 | 99.42 424 | 98.94 446 | 88.89 456 | 66.97 499 | 98.37 455 | 81.43 450 | 95.91 476 | 89.24 463 | 89.46 424 | 97.75 350 |
|
| UniMVSNet_NR-MVSNet | | | 97.16 318 | 96.80 322 | 98.22 321 | 98.38 397 | 98.41 263 | 100.00 1 | 99.45 110 | 96.14 333 | 97.76 394 | 99.64 354 | 95.05 258 | 98.50 403 | 97.98 321 | 86.84 445 | 97.75 350 |
|
| DU-MVS | | | 96.93 331 | 96.49 335 | 98.22 321 | 98.31 401 | 98.41 263 | 100.00 1 | 99.37 228 | 96.41 315 | 97.76 394 | 99.65 350 | 92.14 329 | 98.50 403 | 97.98 321 | 86.84 445 | 97.75 350 |
|
| UniMVSNet (Re) | | | 97.29 314 | 96.85 321 | 98.59 291 | 98.49 394 | 99.13 200 | 100.00 1 | 99.42 152 | 96.52 304 | 98.24 374 | 98.90 426 | 94.93 260 | 98.89 365 | 97.54 342 | 87.61 439 | 97.75 350 |
|
| NR-MVSNet | | | 96.63 343 | 96.04 355 | 98.38 306 | 98.31 401 | 98.98 217 | 99.22 449 | 99.35 245 | 95.87 339 | 94.43 455 | 99.65 350 | 92.73 319 | 98.40 411 | 96.78 369 | 88.05 436 | 97.75 350 |
|
| TranMVSNet+NR-MVSNet | | | 96.45 353 | 96.01 356 | 97.79 360 | 98.00 420 | 97.62 332 | 100.00 1 | 99.35 245 | 95.98 336 | 97.31 411 | 99.64 354 | 90.09 371 | 98.00 446 | 96.89 364 | 86.80 448 | 97.75 350 |
|
| Patchmtry | | | 96.81 333 | 96.37 341 | 98.14 329 | 99.31 326 | 98.55 249 | 98.91 472 | 99.00 441 | 90.45 448 | 97.92 388 | 98.98 418 | 96.94 214 | 98.12 434 | 94.27 417 | 91.53 402 | 97.75 350 |
|
| N_pmnet | | | 91.88 431 | 93.37 410 | 87.40 466 | 97.24 451 | 66.33 499 | 99.90 339 | 91.05 502 | 89.77 454 | 95.65 443 | 98.58 442 | 90.05 373 | 98.11 436 | 85.39 472 | 92.72 380 | 97.75 350 |
|
| XXY-MVS | | | 97.14 320 | 96.63 328 | 98.67 285 | 98.65 387 | 98.92 222 | 99.54 411 | 99.29 282 | 95.57 351 | 97.63 400 | 99.83 312 | 87.79 407 | 99.35 333 | 98.39 303 | 92.95 377 | 97.75 350 |
|
| IterMVS-LS | | | 97.56 297 | 97.44 294 | 97.92 354 | 99.38 319 | 97.90 318 | 99.89 343 | 99.10 410 | 94.41 388 | 98.32 365 | 99.54 377 | 97.21 202 | 98.11 436 | 97.50 343 | 91.62 400 | 97.75 350 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| CLD-MVS | | | 97.64 290 | 97.74 283 | 97.36 372 | 99.01 356 | 94.76 409 | 100.00 1 | 99.34 252 | 99.30 4 | 99.00 305 | 99.97 256 | 87.49 409 | 99.57 291 | 99.96 105 | 95.58 328 | 97.75 350 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| gbinet_0.2-2-1-0.02 | | | 93.73 411 | 92.69 423 | 96.84 398 | 94.91 477 | 94.62 413 | 100.00 1 | 99.28 290 | 87.02 470 | 98.53 346 | 98.45 451 | 89.72 378 | 98.15 430 | 96.65 373 | 69.64 488 | 97.74 377 |
|
| usedtu_dtu_shiyan1 | | | 97.34 310 | 96.97 315 | 98.43 301 | 97.82 426 | 98.91 223 | 100.00 1 | 99.29 282 | 94.70 376 | 98.46 354 | 98.89 427 | 93.95 290 | 98.64 386 | 95.86 388 | 93.75 366 | 97.74 377 |
|
| blended_shiyan8 | | | 93.73 411 | 92.69 423 | 96.84 398 | 95.17 473 | 94.40 422 | 100.00 1 | 99.20 360 | 87.05 467 | 98.60 336 | 98.54 447 | 90.15 365 | 98.39 412 | 95.54 400 | 69.93 483 | 97.74 377 |
|
| FE-MVSNET3 | | | 97.34 310 | 96.97 315 | 98.43 301 | 97.82 426 | 98.91 223 | 100.00 1 | 99.29 282 | 94.70 376 | 98.46 354 | 98.89 427 | 93.95 290 | 98.64 386 | 95.88 386 | 93.75 366 | 97.74 377 |
|
| reproduce_monomvs | | | 98.61 223 | 98.54 210 | 98.82 276 | 99.97 97 | 99.28 181 | 100.00 1 | 99.33 255 | 98.51 97 | 97.87 391 | 99.24 398 | 99.98 3 | 99.45 324 | 99.02 269 | 92.93 378 | 97.74 377 |
|
| eth_miper_zixun_eth | | | 97.47 304 | 97.28 303 | 98.06 339 | 99.41 310 | 97.94 316 | 99.62 401 | 99.08 416 | 94.46 387 | 98.19 375 | 99.56 373 | 96.91 216 | 98.50 403 | 96.78 369 | 91.49 403 | 97.74 377 |
|
| FIs | | | 97.95 278 | 97.73 285 | 98.62 288 | 98.53 393 | 99.24 188 | 100.00 1 | 99.43 133 | 96.74 269 | 97.87 391 | 99.82 316 | 95.27 249 | 98.89 365 | 98.78 281 | 93.07 375 | 97.74 377 |
|
| v1144 | | | 96.51 349 | 95.97 359 | 98.13 332 | 97.98 421 | 98.04 308 | 99.99 258 | 99.08 416 | 93.51 414 | 98.62 335 | 98.98 418 | 90.98 347 | 98.62 389 | 93.79 424 | 90.79 412 | 97.74 377 |
|
| YYNet1 | | | 92.44 426 | 90.92 435 | 97.03 386 | 96.20 457 | 97.06 356 | 99.99 258 | 99.14 393 | 88.21 461 | 67.93 496 | 98.43 454 | 88.63 397 | 96.28 472 | 90.64 448 | 89.08 428 | 97.74 377 |
|
| MDA-MVSNet_test_wron | | | 92.61 424 | 91.09 434 | 97.19 382 | 96.71 455 | 97.26 348 | 100.00 1 | 99.14 393 | 88.61 457 | 67.90 497 | 98.32 457 | 89.03 389 | 96.57 468 | 90.47 453 | 89.59 421 | 97.74 377 |
|
| WR-MVS | | | 97.09 321 | 96.64 327 | 98.46 298 | 98.43 395 | 99.09 202 | 99.97 299 | 99.33 255 | 95.62 349 | 97.76 394 | 99.67 346 | 91.17 340 | 98.56 400 | 98.49 299 | 89.28 426 | 97.74 377 |
|
| VortexMVS | | | 98.23 264 | 98.11 260 | 98.59 291 | 99.56 244 | 99.37 172 | 99.95 315 | 99.03 437 | 96.47 308 | 98.69 327 | 99.55 374 | 95.91 235 | 98.66 383 | 99.01 270 | 94.80 358 | 97.73 388 |
|
| IterMVS-SCA-FT | | | 96.72 339 | 96.42 339 | 97.62 364 | 99.40 315 | 96.83 361 | 99.99 258 | 99.14 393 | 94.65 380 | 97.55 406 | 99.72 333 | 89.65 381 | 98.31 417 | 95.62 397 | 92.05 391 | 97.73 388 |
|
| Anonymous20231211 | | | 96.29 363 | 95.70 373 | 98.07 335 | 99.80 156 | 97.49 335 | 99.15 458 | 99.40 205 | 89.11 455 | 97.75 397 | 99.45 385 | 88.93 392 | 98.98 354 | 98.26 312 | 89.47 423 | 97.73 388 |
|
| FC-MVSNet-test | | | 97.84 282 | 97.63 291 | 98.45 299 | 98.30 403 | 99.05 206 | 100.00 1 | 99.43 133 | 96.63 293 | 97.61 403 | 99.82 316 | 95.19 254 | 98.57 398 | 98.64 290 | 93.05 376 | 97.73 388 |
|
| MVSTER | | | 98.58 228 | 98.52 213 | 98.77 282 | 99.65 205 | 99.68 123 | 100.00 1 | 99.29 282 | 95.63 348 | 98.65 332 | 99.80 325 | 99.78 9 | 98.88 368 | 98.59 296 | 95.31 338 | 97.73 388 |
|
| FMVSNet3 | | | 97.30 313 | 96.95 317 | 98.37 307 | 99.65 205 | 99.25 186 | 99.71 388 | 99.28 290 | 94.23 392 | 98.53 346 | 98.91 425 | 93.30 303 | 98.11 436 | 95.31 403 | 93.60 369 | 97.73 388 |
|
| FMVSNet2 | | | 96.22 367 | 95.60 379 | 98.06 339 | 99.53 251 | 98.33 277 | 99.45 419 | 99.27 305 | 93.71 405 | 98.03 381 | 98.84 430 | 84.23 436 | 98.10 439 | 93.97 422 | 93.40 372 | 97.73 388 |
|
| SSC-MVS3.2 | | | 95.32 392 | 94.97 398 | 96.37 417 | 98.29 405 | 92.75 442 | 100.00 1 | 99.30 273 | 95.46 359 | 98.36 360 | 99.42 387 | 78.92 459 | 98.63 388 | 93.28 431 | 91.72 399 | 97.72 395 |
|
| OPM-MVS | | | 97.21 315 | 97.18 311 | 97.32 375 | 98.08 416 | 94.66 410 | 100.00 1 | 99.28 290 | 98.65 90 | 98.92 311 | 99.98 244 | 86.03 425 | 99.56 295 | 98.28 311 | 95.41 334 | 97.72 395 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| pmmvs5 | | | 95.94 382 | 95.61 378 | 96.95 391 | 97.42 447 | 94.66 410 | 100.00 1 | 98.08 472 | 93.60 411 | 97.05 416 | 99.43 386 | 87.02 414 | 98.46 407 | 95.76 389 | 92.12 390 | 97.72 395 |
|
| pm-mvs1 | | | 95.76 385 | 95.01 396 | 98.00 347 | 98.23 409 | 97.45 337 | 99.24 440 | 99.04 434 | 93.13 426 | 95.93 441 | 99.72 333 | 86.28 421 | 98.84 370 | 95.62 397 | 87.92 437 | 97.72 395 |
|
| GBi-Net | | | 96.07 377 | 95.80 367 | 96.89 395 | 99.53 251 | 94.87 398 | 99.18 450 | 99.27 305 | 93.71 405 | 98.53 346 | 98.81 431 | 84.23 436 | 98.07 441 | 95.31 403 | 93.60 369 | 97.72 395 |
|
| test1 | | | 96.07 377 | 95.80 367 | 96.89 395 | 99.53 251 | 94.87 398 | 99.18 450 | 99.27 305 | 93.71 405 | 98.53 346 | 98.81 431 | 84.23 436 | 98.07 441 | 95.31 403 | 93.60 369 | 97.72 395 |
|
| FMVSNet1 | | | 94.45 400 | 93.63 407 | 96.89 395 | 98.87 377 | 94.87 398 | 99.18 450 | 99.27 305 | 90.95 444 | 97.31 411 | 98.81 431 | 72.89 476 | 98.07 441 | 92.61 434 | 92.81 379 | 97.72 395 |
|
| IterMVS | | | 96.76 336 | 96.46 337 | 97.63 362 | 99.41 310 | 96.89 359 | 99.99 258 | 99.13 399 | 94.74 375 | 97.59 405 | 99.66 348 | 89.63 383 | 98.28 421 | 95.71 391 | 92.31 388 | 97.72 395 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| pmmvs4 | | | 97.17 317 | 96.80 322 | 98.27 314 | 97.68 433 | 98.64 244 | 100.00 1 | 99.18 370 | 94.22 393 | 98.55 340 | 99.71 335 | 93.67 293 | 98.47 406 | 95.66 395 | 92.57 384 | 97.71 403 |
|
| tt0320 | | | 92.36 427 | 91.28 430 | 95.58 429 | 98.30 403 | 90.65 459 | 98.69 478 | 99.14 393 | 76.73 485 | 96.07 438 | 99.50 381 | 72.28 478 | 98.39 412 | 93.29 430 | 87.56 440 | 97.70 404 |
|
| v7n | | | 96.06 379 | 95.42 389 | 97.99 349 | 97.58 439 | 97.35 342 | 99.86 349 | 99.11 407 | 92.81 432 | 97.91 389 | 99.49 382 | 90.99 346 | 98.92 361 | 92.51 436 | 88.49 434 | 97.70 404 |
|
| PS-MVSNAJss | | | 98.03 273 | 98.06 267 | 97.94 351 | 97.63 434 | 97.33 345 | 99.89 343 | 99.23 326 | 96.27 325 | 98.03 381 | 99.59 366 | 98.75 139 | 98.78 373 | 98.52 298 | 94.61 362 | 97.70 404 |
|
| LPG-MVS_test | | | 97.31 312 | 97.32 301 | 97.28 378 | 98.85 380 | 94.60 414 | 100.00 1 | 99.37 228 | 97.35 207 | 98.85 317 | 99.98 244 | 86.66 417 | 99.56 295 | 99.55 214 | 95.26 340 | 97.70 404 |
|
| LGP-MVS_train | | | | | 97.28 378 | 98.85 380 | 94.60 414 | | 99.37 228 | 97.35 207 | 98.85 317 | 99.98 244 | 86.66 417 | 99.56 295 | 99.55 214 | 95.26 340 | 97.70 404 |
|
| SixPastTwentyTwo | | | 95.71 387 | 95.49 383 | 96.38 416 | 97.42 447 | 93.01 438 | 99.84 352 | 98.23 467 | 94.75 373 | 95.98 440 | 99.97 256 | 85.35 430 | 98.43 409 | 94.71 411 | 93.17 374 | 97.69 409 |
|
| ACMM | | 97.17 6 | 97.37 308 | 97.40 297 | 97.29 377 | 99.01 356 | 94.64 412 | 100.00 1 | 99.25 315 | 98.07 131 | 98.44 356 | 99.98 244 | 87.38 411 | 99.55 300 | 99.25 252 | 95.19 346 | 97.69 409 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| EU-MVSNet | | | 96.63 343 | 96.53 332 | 96.94 392 | 97.59 438 | 96.87 360 | 99.76 376 | 99.47 84 | 96.35 320 | 96.85 422 | 99.78 329 | 92.57 323 | 96.27 473 | 95.33 402 | 91.08 409 | 97.68 411 |
|
| K. test v3 | | | 95.46 391 | 95.14 394 | 96.40 414 | 97.53 441 | 93.40 435 | 99.99 258 | 99.23 326 | 95.49 357 | 92.70 465 | 99.73 332 | 84.26 435 | 98.12 434 | 93.94 423 | 93.38 373 | 97.68 411 |
|
| lessismore_v0 | | | | | 96.05 424 | 97.55 440 | 91.80 451 | | 99.22 331 | | 91.87 466 | 99.91 296 | 83.50 442 | 98.68 381 | 92.48 437 | 90.42 417 | 97.68 411 |
|
| XVG-ACMP-BASELINE | | | 96.60 345 | 96.52 334 | 96.84 398 | 98.41 396 | 93.29 437 | 99.99 258 | 99.32 258 | 97.76 159 | 98.51 350 | 99.29 395 | 81.95 448 | 99.54 303 | 98.40 302 | 95.03 353 | 97.68 411 |
|
| ACMP | | 97.00 8 | 97.19 316 | 97.16 313 | 97.27 380 | 98.97 366 | 94.58 417 | 100.00 1 | 99.32 258 | 97.97 139 | 97.45 408 | 99.98 244 | 85.79 427 | 99.56 295 | 99.70 170 | 95.24 343 | 97.67 415 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| tt0320-xc | | | 91.69 433 | 90.50 437 | 95.26 431 | 98.04 417 | 90.12 464 | 98.60 481 | 98.70 460 | 76.63 487 | 94.66 451 | 99.52 378 | 68.57 484 | 97.99 447 | 94.61 412 | 85.18 452 | 97.66 416 |
|
| jajsoiax | | | 97.07 323 | 96.79 324 | 97.89 355 | 97.28 450 | 97.12 353 | 99.95 315 | 99.19 363 | 96.55 299 | 97.31 411 | 99.69 341 | 87.35 413 | 98.91 362 | 98.70 286 | 95.12 351 | 97.66 416 |
|
| PS-CasMVS | | | 96.34 361 | 95.78 369 | 98.03 346 | 98.18 413 | 98.27 285 | 99.71 388 | 99.32 258 | 94.75 373 | 96.82 423 | 99.65 350 | 86.98 416 | 98.15 430 | 97.74 334 | 88.85 431 | 97.66 416 |
|
| CP-MVSNet | | | 96.73 337 | 96.25 346 | 98.18 325 | 98.21 410 | 98.67 240 | 99.77 374 | 99.32 258 | 95.06 367 | 97.20 414 | 99.65 350 | 90.10 370 | 98.19 428 | 98.06 319 | 88.90 430 | 97.66 416 |
|
| ACMH | | 96.25 11 | 96.77 335 | 96.62 329 | 97.21 381 | 98.96 367 | 94.43 421 | 99.64 397 | 99.33 255 | 97.43 202 | 96.55 429 | 99.97 256 | 83.52 441 | 99.54 303 | 99.07 267 | 95.13 350 | 97.66 416 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| mvs_tets | | | 97.00 329 | 96.69 326 | 97.94 351 | 97.41 449 | 97.27 347 | 99.60 403 | 99.18 370 | 96.51 305 | 97.35 410 | 99.69 341 | 86.53 419 | 98.91 362 | 98.84 278 | 95.09 352 | 97.65 421 |
|
| PEN-MVS | | | 96.01 380 | 95.48 385 | 97.58 366 | 97.74 431 | 97.26 348 | 99.90 339 | 99.29 282 | 94.55 382 | 96.79 424 | 99.55 374 | 87.38 411 | 97.84 452 | 96.92 363 | 87.24 443 | 97.65 421 |
|
| ACMH+ | | 96.20 13 | 96.49 352 | 96.33 344 | 97.00 388 | 99.06 351 | 93.80 430 | 99.81 358 | 99.31 267 | 97.32 212 | 95.89 442 | 99.97 256 | 82.62 446 | 99.54 303 | 98.34 306 | 94.63 361 | 97.65 421 |
|
| OurMVSNet-221017-0 | | | 96.14 375 | 95.98 358 | 96.62 410 | 97.49 444 | 93.44 434 | 99.92 331 | 98.16 468 | 95.86 341 | 97.65 399 | 99.95 281 | 85.71 428 | 98.78 373 | 94.93 409 | 94.18 365 | 97.64 424 |
|
| pmmvs6 | | | 93.64 414 | 92.87 417 | 95.94 426 | 97.47 446 | 91.41 454 | 98.92 471 | 99.02 438 | 87.84 463 | 95.01 447 | 99.61 364 | 77.24 465 | 98.77 376 | 94.33 416 | 86.41 450 | 97.63 425 |
|
| v10 | | | 96.14 375 | 95.50 381 | 98.07 335 | 98.19 412 | 97.96 314 | 99.83 354 | 99.07 421 | 92.10 436 | 98.07 378 | 98.94 423 | 91.07 342 | 98.61 390 | 92.41 439 | 89.82 419 | 97.63 425 |
|
| v8 | | | 96.35 360 | 95.73 372 | 98.21 323 | 98.11 415 | 98.23 288 | 99.94 323 | 99.07 421 | 92.66 433 | 98.29 367 | 99.00 417 | 91.46 334 | 98.77 376 | 94.17 418 | 88.83 432 | 97.62 427 |
|
| DTE-MVSNet | | | 95.52 389 | 94.99 397 | 97.08 384 | 97.49 444 | 96.45 372 | 100.00 1 | 99.25 315 | 93.82 404 | 96.17 435 | 99.57 372 | 87.81 406 | 97.18 461 | 94.57 413 | 86.26 451 | 97.62 427 |
|
| test_djsdf | | | 97.55 299 | 97.38 298 | 98.07 335 | 97.50 442 | 97.99 310 | 100.00 1 | 99.13 399 | 95.46 359 | 98.47 353 | 99.85 309 | 92.01 332 | 98.59 395 | 98.63 292 | 95.36 336 | 97.62 427 |
|
| MIMVSNet1 | | | 91.96 428 | 91.20 431 | 94.23 447 | 94.94 476 | 91.69 452 | 99.34 431 | 99.22 331 | 88.23 459 | 94.18 456 | 98.45 451 | 75.52 471 | 93.41 488 | 79.37 485 | 91.49 403 | 97.60 430 |
|
| FMVSNet5 | | | 95.32 392 | 95.43 388 | 94.99 436 | 99.39 318 | 92.99 440 | 99.25 439 | 99.24 321 | 90.45 448 | 97.44 409 | 98.45 451 | 95.78 240 | 94.39 483 | 87.02 469 | 91.88 395 | 97.59 431 |
|
| LTVRE_ROB | | 95.29 16 | 96.32 362 | 96.10 352 | 96.99 389 | 98.55 391 | 93.88 429 | 99.45 419 | 99.28 290 | 94.50 385 | 96.46 430 | 99.52 378 | 84.86 432 | 99.48 316 | 97.26 353 | 95.03 353 | 97.59 431 |
| 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 |
| TransMVSNet (Re) | | | 94.78 398 | 93.72 405 | 97.93 353 | 98.34 398 | 97.88 320 | 99.23 447 | 97.98 477 | 91.60 438 | 94.55 452 | 99.71 335 | 87.89 405 | 98.36 414 | 89.30 462 | 84.92 453 | 97.56 433 |
|
| Baseline_NR-MVSNet | | | 96.16 373 | 95.70 373 | 97.56 367 | 98.28 406 | 96.79 363 | 100.00 1 | 97.86 480 | 91.93 437 | 97.63 400 | 99.47 384 | 92.14 329 | 98.35 415 | 97.13 355 | 86.83 447 | 97.54 434 |
|
| KD-MVS_2432*1600 | | | 94.15 404 | 93.08 413 | 97.35 373 | 99.53 251 | 97.83 324 | 99.63 399 | 99.19 363 | 92.88 429 | 96.29 432 | 97.68 465 | 98.84 132 | 96.70 465 | 89.73 457 | 63.92 492 | 97.53 435 |
|
| miper_refine_blended | | | 94.15 404 | 93.08 413 | 97.35 373 | 99.53 251 | 97.83 324 | 99.63 399 | 99.19 363 | 92.88 429 | 96.29 432 | 97.68 465 | 98.84 132 | 96.70 465 | 89.73 457 | 63.92 492 | 97.53 435 |
|
| usedtu_dtu_shiyan2 | | | 85.34 450 | 83.22 456 | 91.71 456 | 88.10 494 | 83.34 481 | 98.75 477 | 97.59 486 | 76.21 488 | 91.11 467 | 96.80 473 | 58.14 489 | 94.30 484 | 75.00 494 | 67.24 490 | 97.49 437 |
|
| USDC | | | 95.90 383 | 95.70 373 | 96.50 413 | 98.60 390 | 92.56 446 | 100.00 1 | 98.30 466 | 97.77 157 | 96.92 418 | 99.94 287 | 81.25 452 | 99.45 324 | 93.54 427 | 94.96 357 | 97.49 437 |
|
| ITE_SJBPF | | | | | 96.84 398 | 98.96 367 | 93.49 433 | | 98.12 470 | 98.12 128 | 98.35 362 | 99.97 256 | 84.45 433 | 99.56 295 | 95.63 396 | 95.25 342 | 97.49 437 |
|
| Anonymous20231206 | | | 93.45 416 | 93.17 412 | 94.30 445 | 95.00 475 | 89.69 467 | 99.98 290 | 98.43 465 | 93.30 422 | 94.50 454 | 98.59 440 | 90.52 355 | 95.73 478 | 77.46 490 | 90.73 414 | 97.48 440 |
|
| WR-MVS_H | | | 96.73 337 | 96.32 345 | 97.95 350 | 98.26 407 | 97.88 320 | 99.72 387 | 99.43 133 | 95.06 367 | 96.99 417 | 98.68 437 | 93.02 313 | 98.53 401 | 97.43 346 | 88.33 435 | 97.43 441 |
|
| tfpnnormal | | | 96.36 359 | 95.69 376 | 98.37 307 | 98.55 391 | 98.71 237 | 99.69 392 | 99.45 110 | 93.16 425 | 96.69 428 | 99.71 335 | 88.44 402 | 98.99 353 | 94.17 418 | 91.38 406 | 97.41 442 |
|
| TinyColmap | | | 95.50 390 | 95.12 395 | 96.64 409 | 98.69 386 | 93.00 439 | 99.40 425 | 97.75 482 | 96.40 316 | 96.14 436 | 99.87 302 | 79.47 456 | 99.50 314 | 93.62 426 | 94.72 360 | 97.40 443 |
|
| UnsupCasMVSNet_eth | | | 94.25 403 | 93.89 403 | 95.34 430 | 97.63 434 | 92.13 448 | 99.73 384 | 99.36 234 | 94.88 370 | 92.78 462 | 98.63 439 | 82.72 444 | 96.53 469 | 94.57 413 | 84.73 454 | 97.36 444 |
|
| PVSNet_BlendedMVS | | | 98.71 206 | 98.62 197 | 98.98 265 | 99.98 93 | 99.60 131 | 100.00 1 | 100.00 1 | 97.23 220 | 100.00 1 | 99.03 414 | 96.57 226 | 99.99 107 | 100.00 1 | 94.75 359 | 97.35 445 |
|
| anonymousdsp | | | 97.16 318 | 96.88 319 | 98.00 347 | 97.08 452 | 98.06 306 | 99.81 358 | 99.15 386 | 94.58 381 | 97.84 393 | 99.62 362 | 90.49 356 | 98.60 393 | 97.98 321 | 95.32 337 | 97.33 446 |
|
| V42 | | | 96.65 342 | 96.16 351 | 98.11 334 | 98.17 414 | 98.23 288 | 99.99 258 | 99.09 415 | 93.97 401 | 98.74 326 | 99.05 410 | 91.09 341 | 98.82 371 | 95.46 401 | 89.90 418 | 97.27 447 |
|
| LF4IMVS | | | 96.19 368 | 96.18 349 | 96.23 421 | 98.26 407 | 92.09 449 | 100.00 1 | 97.89 479 | 97.82 152 | 97.94 386 | 99.87 302 | 82.71 445 | 99.38 330 | 97.41 347 | 93.71 368 | 97.20 448 |
|
| new_pmnet | | | 94.11 407 | 93.47 409 | 96.04 425 | 96.60 456 | 92.82 441 | 99.97 299 | 98.91 449 | 90.21 451 | 95.26 444 | 98.05 463 | 85.89 426 | 98.14 432 | 84.28 475 | 92.01 392 | 97.16 449 |
|
| APD_test1 | | | 93.07 421 | 94.14 402 | 89.85 461 | 99.18 337 | 72.49 489 | 99.76 376 | 98.90 451 | 92.86 431 | 96.35 431 | 99.94 287 | 75.56 470 | 99.91 207 | 86.73 470 | 97.98 279 | 97.15 450 |
|
| D2MVS | | | 97.63 293 | 97.83 280 | 97.05 385 | 98.83 382 | 94.60 414 | 100.00 1 | 99.82 45 | 96.89 250 | 98.28 368 | 99.03 414 | 94.05 285 | 99.47 318 | 98.58 297 | 94.97 356 | 97.09 451 |
|
| test20.03 | | | 93.11 419 | 92.85 418 | 93.88 450 | 95.19 472 | 91.83 450 | 100.00 1 | 98.87 452 | 93.68 408 | 92.76 463 | 98.88 429 | 89.20 388 | 92.71 490 | 77.88 488 | 89.19 427 | 97.09 451 |
|
| KD-MVS_self_test | | | 91.16 435 | 90.09 440 | 94.35 444 | 94.44 478 | 91.27 455 | 99.74 379 | 99.08 416 | 90.82 445 | 94.53 453 | 94.91 484 | 86.11 422 | 94.78 482 | 82.67 478 | 68.52 489 | 96.99 453 |
|
| CL-MVSNet_self_test | | | 91.07 437 | 90.35 439 | 93.24 452 | 93.27 480 | 89.16 469 | 99.55 409 | 99.25 315 | 92.34 434 | 95.23 445 | 97.05 471 | 88.86 394 | 93.59 487 | 80.67 482 | 66.95 491 | 96.96 454 |
|
| test_method | | | 91.04 438 | 91.10 433 | 90.85 458 | 98.34 398 | 77.63 485 | 100.00 1 | 98.93 448 | 76.69 486 | 96.25 434 | 98.52 449 | 70.44 480 | 97.98 448 | 89.02 465 | 91.74 397 | 96.92 455 |
|
| pmmvs3 | | | 90.62 440 | 89.36 446 | 94.40 443 | 90.53 491 | 91.49 453 | 100.00 1 | 96.73 492 | 84.21 477 | 93.65 459 | 96.65 474 | 82.56 447 | 94.83 481 | 82.28 479 | 77.62 477 | 96.89 456 |
|
| test_0402 | | | 94.35 401 | 93.70 406 | 96.32 419 | 97.92 422 | 93.60 431 | 99.61 402 | 98.85 454 | 88.19 462 | 94.68 450 | 99.48 383 | 80.01 454 | 98.58 397 | 89.39 461 | 95.15 349 | 96.77 457 |
|
| EG-PatchMatch MVS | | | 92.94 422 | 92.49 426 | 94.29 446 | 95.87 461 | 87.07 475 | 99.07 468 | 98.11 471 | 93.19 424 | 88.98 475 | 98.66 438 | 70.89 479 | 99.08 346 | 92.43 438 | 95.21 345 | 96.72 458 |
|
| test_fmvs2 | | | 95.17 397 | 95.23 392 | 95.01 434 | 98.95 369 | 88.99 470 | 99.99 258 | 97.77 481 | 97.79 155 | 98.58 338 | 99.70 338 | 73.36 474 | 99.34 334 | 95.88 386 | 95.03 353 | 96.70 459 |
|
| Anonymous20240521 | | | 93.29 417 | 92.76 419 | 94.90 439 | 95.64 465 | 91.27 455 | 99.97 299 | 98.82 455 | 87.04 468 | 94.71 449 | 98.19 458 | 83.86 440 | 96.80 464 | 84.04 476 | 92.56 385 | 96.64 460 |
|
| TDRefinement | | | 91.93 429 | 90.48 438 | 96.27 420 | 81.60 499 | 92.65 445 | 99.10 463 | 97.61 485 | 93.96 402 | 93.77 458 | 99.85 309 | 80.03 453 | 99.53 308 | 97.82 332 | 70.59 482 | 96.63 461 |
|
| mmtdpeth | | | 94.58 399 | 94.18 401 | 95.81 427 | 98.82 384 | 91.09 457 | 99.99 258 | 98.61 463 | 96.38 317 | 100.00 1 | 97.23 469 | 76.52 467 | 99.85 238 | 99.82 139 | 80.22 472 | 96.48 462 |
|
| MS-PatchMatch | | | 95.66 388 | 95.87 363 | 95.05 433 | 97.80 428 | 89.25 468 | 98.88 473 | 99.30 273 | 96.35 320 | 96.86 421 | 99.01 416 | 81.35 451 | 99.43 326 | 93.30 429 | 99.98 117 | 96.46 463 |
|
| MVP-Stereo | | | 96.51 349 | 96.48 336 | 96.60 411 | 95.65 464 | 94.25 426 | 98.84 474 | 98.16 468 | 95.85 343 | 95.23 445 | 99.04 411 | 92.54 324 | 99.13 344 | 92.98 433 | 99.98 117 | 96.43 464 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| mvs5depth | | | 93.81 408 | 93.00 415 | 96.23 421 | 94.25 479 | 93.33 436 | 97.43 489 | 98.07 473 | 93.47 415 | 94.15 457 | 99.58 368 | 77.52 463 | 98.97 356 | 93.64 425 | 88.92 429 | 96.39 465 |
|
| ttmdpeth | | | 96.24 366 | 95.88 362 | 97.32 375 | 97.80 428 | 96.61 369 | 99.95 315 | 98.77 458 | 97.80 154 | 93.42 460 | 99.28 396 | 86.42 420 | 99.01 350 | 97.63 338 | 91.84 396 | 96.33 466 |
|
| UnsupCasMVSNet_bld | | | 89.50 442 | 88.00 449 | 93.99 449 | 95.30 468 | 88.86 471 | 98.52 482 | 99.28 290 | 85.50 475 | 87.80 481 | 94.11 485 | 61.63 487 | 96.96 463 | 90.63 449 | 79.26 473 | 96.15 467 |
|
| OpenMVS_ROB |  | 88.34 20 | 91.89 430 | 91.12 432 | 94.19 448 | 95.55 466 | 87.63 473 | 99.26 438 | 98.03 474 | 86.61 473 | 90.65 473 | 96.82 472 | 70.14 482 | 98.78 373 | 86.54 471 | 96.50 326 | 96.15 467 |
|
| MVStest1 | | | 94.27 402 | 93.30 411 | 97.19 382 | 98.83 382 | 97.18 351 | 99.93 329 | 98.79 457 | 86.80 471 | 84.88 488 | 99.04 411 | 94.32 281 | 98.25 423 | 90.55 451 | 86.57 449 | 96.12 469 |
|
| ambc | | | | | 88.45 463 | 86.84 495 | 70.76 492 | 97.79 488 | 98.02 476 | | 90.91 470 | 95.14 480 | 38.69 497 | 98.51 402 | 94.97 408 | 84.23 455 | 96.09 470 |
|
| PM-MVS | | | 88.39 445 | 87.41 450 | 91.31 457 | 91.73 484 | 82.02 483 | 99.79 364 | 96.62 493 | 91.06 443 | 90.71 472 | 95.73 476 | 48.60 493 | 95.96 475 | 90.56 450 | 81.91 468 | 95.97 471 |
|
| pmmvs-eth3d | | | 91.73 432 | 90.67 436 | 94.92 438 | 91.63 485 | 92.71 444 | 99.90 339 | 98.54 464 | 91.19 441 | 88.08 479 | 95.50 477 | 79.31 458 | 96.13 474 | 90.55 451 | 81.32 471 | 95.91 472 |
|
| test_vis1_rt | | | 93.10 420 | 92.93 416 | 93.58 451 | 99.63 213 | 85.07 477 | 99.99 258 | 93.71 499 | 97.49 194 | 90.96 469 | 97.10 470 | 60.40 488 | 99.95 182 | 99.24 254 | 97.90 286 | 95.72 473 |
|
| EGC-MVSNET | | | 79.46 456 | 74.04 464 | 95.72 428 | 96.00 460 | 92.73 443 | 99.09 465 | 99.04 434 | 5.08 503 | 16.72 503 | 98.71 435 | 73.03 475 | 98.74 379 | 82.05 480 | 96.64 323 | 95.69 474 |
|
| new-patchmatchnet | | | 90.30 441 | 89.46 445 | 92.84 455 | 90.77 488 | 88.55 472 | 99.83 354 | 98.80 456 | 90.07 453 | 87.86 480 | 95.00 482 | 78.77 460 | 94.30 484 | 84.86 474 | 79.15 474 | 95.68 475 |
|
| FE-MVSNET2 | | | 91.15 436 | 90.00 442 | 94.58 441 | 90.74 489 | 92.52 447 | 99.56 407 | 98.87 452 | 90.82 445 | 88.96 476 | 95.40 479 | 76.26 469 | 95.56 479 | 87.84 467 | 81.59 469 | 95.66 476 |
|
| mvsany_test3 | | | 89.36 444 | 88.96 447 | 90.56 459 | 91.95 482 | 78.97 484 | 99.74 379 | 96.59 495 | 96.84 254 | 89.25 474 | 96.07 475 | 52.59 491 | 97.11 462 | 95.17 406 | 82.44 465 | 95.58 477 |
|
| FE-MVSNET | | | 89.50 442 | 88.33 448 | 93.00 454 | 88.89 492 | 90.24 462 | 99.96 306 | 96.86 491 | 88.23 459 | 88.46 477 | 95.47 478 | 77.03 466 | 93.37 489 | 78.54 487 | 81.56 470 | 95.39 478 |
|
| test_f | | | 86.87 449 | 86.06 452 | 89.28 462 | 91.45 487 | 76.37 487 | 99.87 348 | 97.11 488 | 91.10 442 | 88.46 477 | 93.05 488 | 38.31 498 | 96.66 467 | 91.77 442 | 83.46 463 | 94.82 479 |
|
| test_fmvs3 | | | 87.19 448 | 87.02 451 | 87.71 465 | 92.69 481 | 76.64 486 | 99.96 306 | 97.27 487 | 93.55 412 | 90.82 471 | 94.03 486 | 38.00 499 | 92.19 491 | 93.49 428 | 83.35 464 | 94.32 480 |
|
| test123 | | | 79.44 457 | 79.23 459 | 80.05 477 | 80.03 500 | 71.72 490 | 100.00 1 | 77.93 508 | 62.52 494 | 94.81 448 | 99.69 341 | 78.21 461 | 74.53 501 | 92.57 435 | 27.33 501 | 93.90 481 |
|
| LCM-MVSNet | | | 79.01 459 | 76.93 462 | 85.27 469 | 78.28 501 | 68.01 497 | 96.57 490 | 98.03 474 | 55.10 497 | 82.03 490 | 93.27 487 | 31.99 502 | 93.95 486 | 82.72 477 | 74.37 479 | 93.84 482 |
|
| CMPMVS |  | 66.12 22 | 90.65 439 | 92.04 427 | 86.46 468 | 96.18 458 | 66.87 498 | 98.03 486 | 99.38 224 | 83.38 479 | 85.49 485 | 99.55 374 | 77.59 462 | 98.80 372 | 94.44 415 | 94.31 364 | 93.72 483 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| WB-MVS | | | 88.24 446 | 90.09 440 | 82.68 474 | 91.56 486 | 69.51 494 | 100.00 1 | 98.73 459 | 90.72 447 | 87.29 482 | 98.12 459 | 92.87 315 | 85.01 496 | 62.19 496 | 89.34 425 | 93.54 484 |
|
| WB-MVSnew | | | 97.02 328 | 97.24 307 | 96.37 417 | 99.44 306 | 97.36 341 | 100.00 1 | 99.43 133 | 96.12 334 | 99.35 277 | 99.89 299 | 93.60 296 | 98.42 410 | 88.91 466 | 98.39 228 | 93.33 485 |
|
| testf1 | | | 84.40 452 | 84.79 453 | 83.23 472 | 95.71 462 | 58.71 505 | 98.79 475 | 97.75 482 | 81.58 480 | 84.94 486 | 98.07 461 | 45.33 495 | 97.73 457 | 77.09 491 | 83.85 457 | 93.24 486 |
|
| APD_test2 | | | 84.40 452 | 84.79 453 | 83.23 472 | 95.71 462 | 58.71 505 | 98.79 475 | 97.75 482 | 81.58 480 | 84.94 486 | 98.07 461 | 45.33 495 | 97.73 457 | 77.09 491 | 83.85 457 | 93.24 486 |
|
| SSC-MVS | | | 87.61 447 | 89.47 444 | 82.04 475 | 90.63 490 | 68.77 495 | 99.99 258 | 98.66 461 | 90.34 450 | 86.70 483 | 98.08 460 | 92.72 320 | 84.12 497 | 59.41 499 | 88.71 433 | 93.22 488 |
|
| PMMVS2 | | | 79.15 458 | 77.28 461 | 84.76 470 | 82.34 498 | 72.66 488 | 99.70 390 | 95.11 498 | 71.68 492 | 84.78 489 | 90.87 489 | 32.05 501 | 89.99 493 | 75.53 493 | 63.45 494 | 91.64 489 |
|
| tmp_tt | | | 75.80 461 | 74.26 463 | 80.43 476 | 52.91 508 | 53.67 507 | 87.42 495 | 97.98 477 | 61.80 495 | 67.04 498 | 100.00 1 | 76.43 468 | 96.40 470 | 96.47 374 | 28.26 500 | 91.23 490 |
|
| testmvs | | | 80.17 454 | 81.95 457 | 74.80 479 | 58.54 506 | 59.58 504 | 100.00 1 | 87.14 505 | 76.09 489 | 99.61 252 | 100.00 1 | 67.06 485 | 74.19 502 | 98.84 278 | 50.30 496 | 90.64 491 |
|
| Gipuma |  | | 84.73 451 | 83.50 455 | 88.40 464 | 97.50 442 | 82.21 482 | 88.87 493 | 99.05 431 | 65.81 493 | 85.71 484 | 90.49 490 | 53.70 490 | 96.31 471 | 78.64 486 | 91.74 397 | 86.67 492 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| FPMVS | | | 77.92 460 | 79.45 458 | 73.34 481 | 76.87 502 | 46.81 508 | 98.24 484 | 99.05 431 | 59.89 496 | 73.55 492 | 98.34 456 | 36.81 500 | 86.55 494 | 80.96 481 | 91.35 407 | 86.65 493 |
|
| ANet_high | | | 66.05 465 | 63.44 469 | 73.88 480 | 61.14 505 | 63.45 502 | 95.68 492 | 87.18 504 | 79.93 482 | 47.35 501 | 80.68 501 | 22.35 504 | 72.33 503 | 61.24 497 | 35.42 499 | 85.88 494 |
|
| test_vis3_rt | | | 79.61 455 | 78.19 460 | 83.86 471 | 88.68 493 | 69.56 493 | 99.81 358 | 82.19 507 | 86.78 472 | 68.57 495 | 84.51 498 | 25.06 503 | 98.26 422 | 89.18 464 | 78.94 475 | 83.75 495 |
|
| MVE |  | 68.59 21 | 67.22 464 | 64.68 468 | 74.84 478 | 74.67 504 | 62.32 503 | 95.84 491 | 90.87 503 | 50.98 498 | 58.72 500 | 81.05 500 | 12.20 507 | 78.95 498 | 61.06 498 | 56.75 495 | 83.24 496 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| PMVS |  | 60.66 23 | 65.98 466 | 65.05 467 | 68.75 484 | 55.06 507 | 38.40 509 | 88.19 494 | 96.98 489 | 48.30 501 | 44.82 502 | 88.52 493 | 12.22 506 | 86.49 495 | 67.58 495 | 83.79 459 | 81.35 497 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| EMVS | | | 69.88 463 | 69.09 466 | 72.24 483 | 84.70 496 | 65.82 500 | 99.96 306 | 87.08 506 | 49.82 500 | 71.51 494 | 84.74 497 | 49.30 492 | 75.32 500 | 50.97 501 | 43.71 498 | 75.59 498 |
|
| E-PMN | | | 70.72 462 | 70.06 465 | 72.69 482 | 83.92 497 | 65.48 501 | 99.95 315 | 92.72 501 | 49.88 499 | 72.30 493 | 86.26 496 | 47.17 494 | 77.43 499 | 53.83 500 | 44.49 497 | 75.17 499 |
|
| wuyk23d | | | 28.28 467 | 29.73 471 | 23.92 485 | 75.89 503 | 32.61 510 | 66.50 496 | 12.88 509 | 16.09 502 | 14.59 504 | 16.59 503 | 12.35 505 | 32.36 504 | 39.36 502 | 13.36 502 | 6.79 500 |
|
| mmdepth | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| monomultidepth | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| test_blank | | | 0.07 471 | 0.09 474 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.79 504 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| uanet_test | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| DCPMVS | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| cdsmvs_eth3d_5k | | | 24.41 468 | 32.55 470 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 99.39 221 | 0.00 504 | 0.00 505 | 100.00 1 | 93.55 297 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| pcd_1.5k_mvsjas | | | 8.24 470 | 10.99 473 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 98.75 139 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| sosnet-low-res | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| sosnet | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| uncertanet | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| Regformer | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| ab-mvs-re | | | 8.33 469 | 11.11 472 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 100.00 1 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| uanet | | | 0.01 472 | 0.02 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.14 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| WAC-MVS | | | | | | | 97.98 311 | | | | | | | | 95.74 390 | | |
|
| FOURS1 | | | | | | 100.00 1 | 99.97 26 | 100.00 1 | 99.42 152 | 98.52 96 | 100.00 1 | | | | | | |
|
| test_one_0601 | | | | | | 100.00 1 | 99.99 6 | | 99.42 152 | 98.72 85 | 100.00 1 | 100.00 1 | 99.60 21 | | | | |
|
| eth-test2 | | | | | | 0.00 509 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 509 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 100.00 1 | 99.98 18 | | 99.80 48 | 97.31 214 | 100.00 1 | 100.00 1 | 99.32 73 | 99.99 107 | 100.00 1 | 100.00 1 | |
|
| test_241102_ONE | | | | | | 100.00 1 | 99.99 6 | | 99.42 152 | 99.03 25 | 100.00 1 | 100.00 1 | 99.50 44 | 100.00 1 | | | |
|
| 9.14 | | | | 99.57 55 | | 99.99 52 | | 100.00 1 | 99.42 152 | 97.54 185 | 100.00 1 | 100.00 1 | 99.15 95 | 99.99 107 | 100.00 1 | 100.00 1 | |
|
| save fliter | | | | | | 99.99 52 | 99.93 52 | 100.00 1 | 99.42 152 | 98.93 49 | | | | | | | |
|
| test0726 | | | | | | 100.00 1 | 99.99 6 | 100.00 1 | 99.42 152 | 99.04 20 | 100.00 1 | 100.00 1 | 99.53 36 | | | | |
|
| test_part2 | | | | | | 100.00 1 | 99.99 6 | | | | 100.00 1 | | | | | | |
|
| sam_mvs | | | | | | | | | | | | | 99.33 70 | | | | |
|
| MTGPA |  | | | | | | | | 99.42 152 | | | | | | | | |
|
| test_post1 | | | | | | | | 99.32 432 | | | | 88.24 494 | 99.33 70 | 99.59 286 | 98.31 307 | | |
|
| test_post | | | | | | | | | | | | 89.05 492 | 99.49 47 | 99.59 286 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 97.79 464 | 99.41 65 | 99.54 303 | | | |
|
| MTMP | | | | | | | | 100.00 1 | 99.18 370 | | | | | | | | |
|
| gm-plane-assit | | | | | | 99.52 265 | 97.26 348 | | | 95.86 341 | | 100.00 1 | | 99.43 326 | 98.76 283 | | |
|
| TEST9 | | | | | | 100.00 1 | 99.95 37 | 100.00 1 | 99.42 152 | 97.65 168 | 100.00 1 | 100.00 1 | 99.53 36 | 99.97 149 | | | |
|
| test_8 | | | | | | 100.00 1 | 99.91 63 | 100.00 1 | 99.42 152 | 97.70 162 | 100.00 1 | 100.00 1 | 99.51 40 | 99.98 140 | | | |
|
| agg_prior | | | | | | 100.00 1 | 99.88 84 | | 99.42 152 | | 100.00 1 | | | 99.97 149 | | | |
|
| test_prior4 | | | | | | | 99.93 52 | 100.00 1 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 100.00 1 | | 98.82 72 | 100.00 1 | 100.00 1 | 99.47 52 | | 100.00 1 | 100.00 1 | |
|
| 旧先验2 | | | | | | | | 100.00 1 | | 98.11 129 | 100.00 1 | | | 100.00 1 | 99.67 184 | | |
|
| æ–°å‡ ä½•2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
| 原ACMM2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
| testdata2 | | | | | | | | | | | | | | 100.00 1 | 97.36 350 | | |
|
| segment_acmp | | | | | | | | | | | | | 99.55 32 | | | | |
|
| testdata1 | | | | | | | | 100.00 1 | | 98.77 84 | | | | | | | |
|
| plane_prior7 | | | | | | 99.00 361 | 94.78 408 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 99.06 351 | 94.80 404 | | | | | | 88.58 400 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 99.97 256 | | | | | |
|
| plane_prior3 | | | | | | | 94.79 407 | | | 99.03 25 | 99.08 299 | | | | | | |
|
| plane_prior2 | | | | | | | | 100.00 1 | | 99.00 32 | | | | | | | |
|
| plane_prior1 | | | | | | 99.02 355 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 94.80 404 | 100.00 1 | | 99.03 25 | | | | | | 95.58 328 | |
|
| n2 | | | | | | | | | 0.00 510 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 510 | | | | | | | | |
|
| door-mid | | | | | | | | | 96.32 496 | | | | | | | | |
|
| test11 | | | | | | | | | 99.42 152 | | | | | | | | |
|
| door | | | | | | | | | 96.13 497 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 94.82 401 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 99.07 347 | | 100.00 1 | | 99.04 20 | 99.17 287 | | | | | | |
|
| ACMP_Plane | | | | | | 99.07 347 | | 100.00 1 | | 99.04 20 | 99.17 287 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 99.79 142 | | |
|
| HQP3-MVS | | | | | | | | | 99.40 205 | | | | | | | 95.58 328 | |
|
| HQP2-MVS | | | | | | | | | | | | | 88.61 398 | | | | |
|
| NP-MVS | | | | | | 99.07 347 | 94.81 403 | | | | | 99.97 256 | | | | | |
|
| MDTV_nov1_ep13 | | | | 98.94 152 | | 99.53 251 | 98.36 273 | 99.39 426 | 99.46 102 | 96.54 300 | 99.99 127 | 99.63 358 | 98.92 126 | 99.86 231 | 98.30 310 | 98.71 211 | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 94.58 363 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 95.17 348 | |
|
| Test By Simon | | | | | | | | | | | | | 99.10 98 | | | | |
|