| test_fmvsmvis_n_1920 | | | 99.65 6 | 99.61 6 | 99.77 62 | 99.38 230 | 99.37 110 | 99.58 117 | 99.62 43 | 99.41 14 | 99.87 34 | 99.92 17 | 98.81 47 | 100.00 1 | 99.97 1 | 99.93 27 | 99.94 13 |
|
| test_fmvsm_n_1920 | | | 99.69 4 | 99.66 3 | 99.78 59 | 99.84 32 | 99.44 104 | 99.58 117 | 99.69 18 | 99.43 11 | 99.98 9 | 99.91 23 | 98.62 73 | 100.00 1 | 99.97 1 | 99.95 18 | 99.90 19 |
|
| test_vis1_n_1920 | | | 98.63 173 | 98.40 180 | 99.31 159 | 99.86 20 | 97.94 259 | 99.67 69 | 99.62 43 | 99.43 11 | 99.99 2 | 99.91 23 | 87.29 385 | 100.00 1 | 99.92 16 | 99.92 30 | 99.98 2 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.61 8 | 99.51 16 | 99.92 1 | 99.84 32 | 99.82 25 | 99.54 149 | 99.66 28 | 99.46 7 | 99.98 9 | 99.89 35 | 97.27 129 | 99.99 4 | 99.97 1 | 99.95 18 | 99.95 9 |
|
| fmvsm_l_conf0.5_n_a | | | 99.71 1 | 99.67 1 | 99.85 34 | 99.86 20 | 99.61 74 | 99.56 130 | 99.63 41 | 99.48 3 | 99.98 9 | 99.83 77 | 98.75 58 | 99.99 4 | 99.97 1 | 99.96 13 | 99.94 13 |
|
| fmvsm_l_conf0.5_n | | | 99.71 1 | 99.67 1 | 99.85 34 | 99.84 32 | 99.63 71 | 99.56 130 | 99.63 41 | 99.47 4 | 99.98 9 | 99.82 86 | 98.75 58 | 99.99 4 | 99.97 1 | 99.97 7 | 99.94 13 |
|
| test_fmvsmconf_n | | | 99.70 3 | 99.64 4 | 99.87 16 | 99.80 53 | 99.66 60 | 99.48 191 | 99.64 38 | 99.45 8 | 99.92 21 | 99.92 17 | 98.62 73 | 99.99 4 | 99.96 8 | 99.99 1 | 99.96 7 |
|
| patch_mono-2 | | | 99.26 79 | 99.62 5 | 98.16 313 | 99.81 47 | 94.59 382 | 99.52 159 | 99.64 38 | 99.33 18 | 99.73 75 | 99.90 30 | 99.00 22 | 99.99 4 | 99.69 26 | 99.98 4 | 99.89 22 |
|
| h-mvs33 | | | 97.70 286 | 97.28 308 | 98.97 206 | 99.70 109 | 97.27 287 | 99.36 249 | 99.45 208 | 98.94 63 | 99.66 97 | 99.64 203 | 94.93 216 | 99.99 4 | 99.48 51 | 84.36 416 | 99.65 138 |
|
| xiu_mvs_v1_base_debu | | | 99.29 73 | 99.27 64 | 99.34 152 | 99.63 140 | 98.97 166 | 99.12 318 | 99.51 125 | 98.86 69 | 99.84 40 | 99.47 270 | 98.18 100 | 99.99 4 | 99.50 46 | 99.31 171 | 99.08 251 |
|
| xiu_mvs_v1_base | | | 99.29 73 | 99.27 64 | 99.34 152 | 99.63 140 | 98.97 166 | 99.12 318 | 99.51 125 | 98.86 69 | 99.84 40 | 99.47 270 | 98.18 100 | 99.99 4 | 99.50 46 | 99.31 171 | 99.08 251 |
|
| xiu_mvs_v1_base_debi | | | 99.29 73 | 99.27 64 | 99.34 152 | 99.63 140 | 98.97 166 | 99.12 318 | 99.51 125 | 98.86 69 | 99.84 40 | 99.47 270 | 98.18 100 | 99.99 4 | 99.50 46 | 99.31 171 | 99.08 251 |
|
| EPNet | | | 98.86 144 | 98.71 148 | 99.30 164 | 97.20 408 | 98.18 241 | 99.62 95 | 98.91 353 | 99.28 21 | 98.63 316 | 99.81 100 | 95.96 176 | 99.99 4 | 99.24 78 | 99.72 130 | 99.73 103 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| MM | | | 99.40 55 | 99.28 61 | 99.74 68 | 99.67 119 | 99.31 120 | 99.52 159 | 98.87 360 | 99.55 1 | 99.74 73 | 99.80 113 | 96.47 159 | 99.98 14 | 99.97 1 | 99.97 7 | 99.94 13 |
|
| test_cas_vis1_n_1920 | | | 99.16 93 | 99.01 105 | 99.61 96 | 99.81 47 | 98.86 186 | 99.65 81 | 99.64 38 | 99.39 15 | 99.97 18 | 99.94 6 | 93.20 286 | 99.98 14 | 99.55 39 | 99.91 37 | 99.99 1 |
|
| test_vis1_n | | | 97.92 244 | 97.44 284 | 99.34 152 | 99.53 173 | 98.08 247 | 99.74 46 | 99.49 155 | 99.15 26 | 100.00 1 | 99.94 6 | 79.51 417 | 99.98 14 | 99.88 18 | 99.76 122 | 99.97 4 |
|
| xiu_mvs_v2_base | | | 99.26 79 | 99.25 68 | 99.29 167 | 99.53 173 | 98.91 180 | 99.02 341 | 99.45 208 | 98.80 78 | 99.71 82 | 99.26 328 | 98.94 32 | 99.98 14 | 99.34 65 | 99.23 176 | 98.98 265 |
|
| PS-MVSNAJ | | | 99.32 68 | 99.32 47 | 99.30 164 | 99.57 161 | 98.94 176 | 98.97 355 | 99.46 197 | 98.92 66 | 99.71 82 | 99.24 330 | 99.01 18 | 99.98 14 | 99.35 60 | 99.66 140 | 98.97 266 |
|
| QAPM | | | 98.67 169 | 98.30 187 | 99.80 53 | 99.20 278 | 99.67 58 | 99.77 34 | 99.72 11 | 94.74 380 | 98.73 296 | 99.90 30 | 95.78 186 | 99.98 14 | 96.96 311 | 99.88 61 | 99.76 93 |
|
| 3Dnovator | | 97.25 9 | 99.24 84 | 99.05 93 | 99.81 50 | 99.12 300 | 99.66 60 | 99.84 12 | 99.74 10 | 99.09 41 | 98.92 269 | 99.90 30 | 95.94 179 | 99.98 14 | 98.95 108 | 99.92 30 | 99.79 80 |
|
| OpenMVS |  | 96.50 16 | 98.47 178 | 98.12 199 | 99.52 123 | 99.04 318 | 99.53 90 | 99.82 16 | 99.72 11 | 94.56 383 | 98.08 350 | 99.88 43 | 94.73 232 | 99.98 14 | 97.47 279 | 99.76 122 | 99.06 257 |
|
| fmvsm_s_conf0.5_n_3 | | | 99.37 59 | 99.20 75 | 99.87 16 | 99.75 80 | 99.70 52 | 99.48 191 | 99.66 28 | 99.45 8 | 99.99 2 | 99.93 10 | 94.64 240 | 99.97 22 | 99.94 13 | 99.97 7 | 99.95 9 |
|
| reproduce_model | | | 99.63 7 | 99.54 11 | 99.90 5 | 99.78 58 | 99.88 8 | 99.56 130 | 99.55 84 | 99.15 26 | 99.90 24 | 99.90 30 | 99.00 22 | 99.97 22 | 99.11 89 | 99.91 37 | 99.86 35 |
|
| test_fmvsmconf0.1_n | | | 99.55 18 | 99.45 25 | 99.86 27 | 99.44 212 | 99.65 64 | 99.50 175 | 99.61 50 | 99.45 8 | 99.87 34 | 99.92 17 | 97.31 126 | 99.97 22 | 99.95 10 | 99.99 1 | 99.97 4 |
|
| test_fmvs1_n | | | 98.41 184 | 98.14 196 | 99.21 179 | 99.82 43 | 97.71 272 | 99.74 46 | 99.49 155 | 99.32 19 | 99.99 2 | 99.95 3 | 85.32 398 | 99.97 22 | 99.82 21 | 99.84 87 | 99.96 7 |
|
| CANet_DTU | | | 98.97 134 | 98.87 129 | 99.25 174 | 99.33 242 | 98.42 233 | 99.08 327 | 99.30 290 | 99.16 25 | 99.43 157 | 99.75 147 | 95.27 203 | 99.97 22 | 98.56 175 | 99.95 18 | 99.36 223 |
|
| MVS_0304 | | | 99.15 95 | 98.96 115 | 99.73 71 | 98.92 336 | 99.37 110 | 99.37 244 | 96.92 414 | 99.51 2 | 99.66 97 | 99.78 132 | 96.69 150 | 99.97 22 | 99.84 20 | 99.97 7 | 99.84 45 |
|
| MTAPA | | | 99.52 21 | 99.39 33 | 99.89 8 | 99.90 4 | 99.86 16 | 99.66 75 | 99.47 188 | 98.79 79 | 99.68 88 | 99.81 100 | 98.43 86 | 99.97 22 | 98.88 118 | 99.90 46 | 99.83 55 |
|
| PGM-MVS | | | 99.45 39 | 99.31 53 | 99.86 27 | 99.87 15 | 99.78 40 | 99.58 117 | 99.65 35 | 97.84 193 | 99.71 82 | 99.80 113 | 99.12 13 | 99.97 22 | 98.33 199 | 99.87 64 | 99.83 55 |
|
| mPP-MVS | | | 99.44 43 | 99.30 55 | 99.86 27 | 99.88 11 | 99.79 34 | 99.69 60 | 99.48 167 | 98.12 154 | 99.50 142 | 99.75 147 | 98.78 51 | 99.97 22 | 98.57 172 | 99.89 57 | 99.83 55 |
|
| CP-MVS | | | 99.45 39 | 99.32 47 | 99.85 34 | 99.83 40 | 99.75 44 | 99.69 60 | 99.52 111 | 98.07 164 | 99.53 137 | 99.63 209 | 98.93 36 | 99.97 22 | 98.74 143 | 99.91 37 | 99.83 55 |
|
| SteuartSystems-ACMMP | | | 99.54 19 | 99.42 26 | 99.87 16 | 99.82 43 | 99.81 29 | 99.59 109 | 99.51 125 | 98.62 94 | 99.79 54 | 99.83 77 | 99.28 4 | 99.97 22 | 98.48 182 | 99.90 46 | 99.84 45 |
| Skip Steuart: Steuart Systems R&D Blog. |
| 3Dnovator+ | | 97.12 13 | 99.18 89 | 98.97 111 | 99.82 47 | 99.17 292 | 99.68 55 | 99.81 20 | 99.51 125 | 99.20 23 | 98.72 297 | 99.89 35 | 95.68 190 | 99.97 22 | 98.86 126 | 99.86 72 | 99.81 67 |
|
| fmvsm_s_conf0.5_n_2 | | | 99.32 68 | 99.13 82 | 99.89 8 | 99.80 53 | 99.77 41 | 99.44 210 | 99.58 66 | 99.47 4 | 99.99 2 | 99.93 10 | 94.04 264 | 99.96 34 | 99.96 8 | 99.93 27 | 99.93 18 |
|
| reproduce-ours | | | 99.61 8 | 99.52 12 | 99.90 5 | 99.76 70 | 99.88 8 | 99.52 159 | 99.54 93 | 99.13 29 | 99.89 26 | 99.89 35 | 98.96 25 | 99.96 34 | 99.04 97 | 99.90 46 | 99.85 39 |
|
| our_new_method | | | 99.61 8 | 99.52 12 | 99.90 5 | 99.76 70 | 99.88 8 | 99.52 159 | 99.54 93 | 99.13 29 | 99.89 26 | 99.89 35 | 98.96 25 | 99.96 34 | 99.04 97 | 99.90 46 | 99.85 39 |
|
| fmvsm_s_conf0.5_n_a | | | 99.56 17 | 99.47 21 | 99.85 34 | 99.83 40 | 99.64 70 | 99.52 159 | 99.65 35 | 99.10 36 | 99.98 9 | 99.92 17 | 97.35 125 | 99.96 34 | 99.94 13 | 99.92 30 | 99.95 9 |
|
| fmvsm_s_conf0.5_n | | | 99.51 22 | 99.40 31 | 99.85 34 | 99.84 32 | 99.65 64 | 99.51 168 | 99.67 23 | 99.13 29 | 99.98 9 | 99.92 17 | 96.60 153 | 99.96 34 | 99.95 10 | 99.96 13 | 99.95 9 |
|
| mvsany_test1 | | | 99.50 24 | 99.46 24 | 99.62 95 | 99.61 150 | 99.09 149 | 98.94 361 | 99.48 167 | 99.10 36 | 99.96 19 | 99.91 23 | 98.85 42 | 99.96 34 | 99.72 24 | 99.58 150 | 99.82 60 |
|
| test_fmvs1 | | | 98.88 140 | 98.79 141 | 99.16 184 | 99.69 113 | 97.61 276 | 99.55 144 | 99.49 155 | 99.32 19 | 99.98 9 | 99.91 23 | 91.41 334 | 99.96 34 | 99.82 21 | 99.92 30 | 99.90 19 |
|
| DVP-MVS++ | | | 99.59 12 | 99.50 17 | 99.88 10 | 99.51 182 | 99.88 8 | 99.87 8 | 99.51 125 | 98.99 54 | 99.88 29 | 99.81 100 | 99.27 5 | 99.96 34 | 98.85 128 | 99.80 107 | 99.81 67 |
|
| MSC_two_6792asdad | | | | | 99.87 16 | 99.51 182 | 99.76 42 | | 99.33 272 | | | | | 99.96 34 | 98.87 121 | 99.84 87 | 99.89 22 |
|
| No_MVS | | | | | 99.87 16 | 99.51 182 | 99.76 42 | | 99.33 272 | | | | | 99.96 34 | 98.87 121 | 99.84 87 | 99.89 22 |
|
| ZD-MVS | | | | | | 99.71 104 | 99.79 34 | | 99.61 50 | 96.84 298 | 99.56 130 | 99.54 243 | 98.58 75 | 99.96 34 | 96.93 314 | 99.75 124 | |
|
| SED-MVS | | | 99.61 8 | 99.52 12 | 99.88 10 | 99.84 32 | 99.90 2 | 99.60 102 | 99.48 167 | 99.08 42 | 99.91 22 | 99.81 100 | 99.20 7 | 99.96 34 | 98.91 115 | 99.85 79 | 99.79 80 |
|
| test_241102_TWO | | | | | | | | | 99.48 167 | 99.08 42 | 99.88 29 | 99.81 100 | 98.94 32 | 99.96 34 | 98.91 115 | 99.84 87 | 99.88 28 |
|
| ZNCC-MVS | | | 99.47 33 | 99.33 45 | 99.87 16 | 99.87 15 | 99.81 29 | 99.64 84 | 99.67 23 | 98.08 163 | 99.55 134 | 99.64 203 | 98.91 37 | 99.96 34 | 98.72 146 | 99.90 46 | 99.82 60 |
|
| DVP-MVS |  | | 99.57 16 | 99.47 21 | 99.88 10 | 99.85 26 | 99.89 4 | 99.57 124 | 99.37 252 | 99.10 36 | 99.81 48 | 99.80 113 | 98.94 32 | 99.96 34 | 98.93 112 | 99.86 72 | 99.81 67 |
| 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 | | | | | | | | | | 98.99 54 | 99.81 48 | 99.80 113 | 99.09 14 | 99.96 34 | 98.85 128 | 99.90 46 | 99.88 28 |
|
| test_0728_SECOND | | | | | 99.91 3 | 99.84 32 | 99.89 4 | 99.57 124 | 99.51 125 | | | | | 99.96 34 | 98.93 112 | 99.86 72 | 99.88 28 |
|
| SR-MVS | | | 99.43 46 | 99.29 59 | 99.86 27 | 99.75 80 | 99.83 19 | 99.59 109 | 99.62 43 | 98.21 141 | 99.73 75 | 99.79 125 | 98.68 67 | 99.96 34 | 98.44 188 | 99.77 119 | 99.79 80 |
|
| DPE-MVS |  | | 99.46 35 | 99.32 47 | 99.91 3 | 99.78 58 | 99.88 8 | 99.36 249 | 99.51 125 | 98.73 86 | 99.88 29 | 99.84 72 | 98.72 64 | 99.96 34 | 98.16 213 | 99.87 64 | 99.88 28 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| UA-Net | | | 99.42 48 | 99.29 59 | 99.80 53 | 99.62 146 | 99.55 85 | 99.50 175 | 99.70 15 | 98.79 79 | 99.77 63 | 99.96 1 | 97.45 120 | 99.96 34 | 98.92 114 | 99.90 46 | 99.89 22 |
|
| HFP-MVS | | | 99.49 26 | 99.37 37 | 99.86 27 | 99.87 15 | 99.80 31 | 99.66 75 | 99.67 23 | 98.15 148 | 99.68 88 | 99.69 177 | 99.06 16 | 99.96 34 | 98.69 151 | 99.87 64 | 99.84 45 |
|
| region2R | | | 99.48 30 | 99.35 41 | 99.87 16 | 99.88 11 | 99.80 31 | 99.65 81 | 99.66 28 | 98.13 153 | 99.66 97 | 99.68 184 | 98.96 25 | 99.96 34 | 98.62 160 | 99.87 64 | 99.84 45 |
|
| HPM-MVS++ |  | | 99.39 57 | 99.23 72 | 99.87 16 | 99.75 80 | 99.84 18 | 99.43 215 | 99.51 125 | 98.68 91 | 99.27 199 | 99.53 247 | 98.64 72 | 99.96 34 | 98.44 188 | 99.80 107 | 99.79 80 |
|
| APDe-MVS |  | | 99.66 5 | 99.57 8 | 99.92 1 | 99.77 66 | 99.89 4 | 99.75 42 | 99.56 76 | 99.02 47 | 99.88 29 | 99.85 62 | 99.18 10 | 99.96 34 | 99.22 79 | 99.92 30 | 99.90 19 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| ACMMPR | | | 99.49 26 | 99.36 39 | 99.86 27 | 99.87 15 | 99.79 34 | 99.66 75 | 99.67 23 | 98.15 148 | 99.67 92 | 99.69 177 | 98.95 30 | 99.96 34 | 98.69 151 | 99.87 64 | 99.84 45 |
|
| MP-MVS |  | | 99.33 66 | 99.15 80 | 99.87 16 | 99.88 11 | 99.82 25 | 99.66 75 | 99.46 197 | 98.09 159 | 99.48 146 | 99.74 152 | 98.29 95 | 99.96 34 | 97.93 231 | 99.87 64 | 99.82 60 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| CPTT-MVS | | | 99.11 111 | 98.90 123 | 99.74 68 | 99.80 53 | 99.46 102 | 99.59 109 | 99.49 155 | 97.03 285 | 99.63 112 | 99.69 177 | 97.27 129 | 99.96 34 | 97.82 242 | 99.84 87 | 99.81 67 |
|
| PVSNet_Blended_VisFu | | | 99.36 62 | 99.28 61 | 99.61 96 | 99.86 20 | 99.07 154 | 99.47 199 | 99.93 2 | 97.66 216 | 99.71 82 | 99.86 56 | 97.73 115 | 99.96 34 | 99.47 53 | 99.82 100 | 99.79 80 |
|
| UGNet | | | 98.87 141 | 98.69 150 | 99.40 144 | 99.22 275 | 98.72 200 | 99.44 210 | 99.68 20 | 99.24 22 | 99.18 224 | 99.42 281 | 92.74 296 | 99.96 34 | 99.34 65 | 99.94 25 | 99.53 179 |
| 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 |
| CSCG | | | 99.32 68 | 99.32 47 | 99.32 158 | 99.85 26 | 98.29 236 | 99.71 55 | 99.66 28 | 98.11 156 | 99.41 164 | 99.80 113 | 98.37 92 | 99.96 34 | 98.99 103 | 99.96 13 | 99.72 111 |
|
| ACMMP |  | | 99.45 39 | 99.32 47 | 99.82 47 | 99.89 8 | 99.67 58 | 99.62 95 | 99.69 18 | 98.12 154 | 99.63 112 | 99.84 72 | 98.73 63 | 99.96 34 | 98.55 178 | 99.83 96 | 99.81 67 |
| 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 |
| fmvsm_s_conf0.5_n_4 | | | 99.36 62 | 99.24 69 | 99.73 71 | 99.78 58 | 99.53 90 | 99.49 186 | 99.60 56 | 99.42 13 | 99.99 2 | 99.86 56 | 95.15 209 | 99.95 65 | 99.95 10 | 99.89 57 | 99.73 103 |
|
| fmvsm_s_conf0.1_n_2 | | | 99.37 59 | 99.22 73 | 99.81 50 | 99.77 66 | 99.75 44 | 99.46 202 | 99.60 56 | 99.47 4 | 99.98 9 | 99.94 6 | 94.98 213 | 99.95 65 | 99.97 1 | 99.79 114 | 99.73 103 |
|
| test_fmvsmconf0.01_n | | | 99.22 86 | 99.03 97 | 99.79 56 | 98.42 388 | 99.48 99 | 99.55 144 | 99.51 125 | 99.39 15 | 99.78 59 | 99.93 10 | 94.80 224 | 99.95 65 | 99.93 15 | 99.95 18 | 99.94 13 |
|
| SR-MVS-dyc-post | | | 99.45 39 | 99.31 53 | 99.85 34 | 99.76 70 | 99.82 25 | 99.63 90 | 99.52 111 | 98.38 117 | 99.76 69 | 99.82 86 | 98.53 79 | 99.95 65 | 98.61 163 | 99.81 103 | 99.77 88 |
|
| GST-MVS | | | 99.40 55 | 99.24 69 | 99.85 34 | 99.86 20 | 99.79 34 | 99.60 102 | 99.67 23 | 97.97 178 | 99.63 112 | 99.68 184 | 98.52 80 | 99.95 65 | 98.38 192 | 99.86 72 | 99.81 67 |
|
| CANet | | | 99.25 83 | 99.14 81 | 99.59 99 | 99.41 220 | 99.16 139 | 99.35 254 | 99.57 71 | 98.82 74 | 99.51 141 | 99.61 218 | 96.46 160 | 99.95 65 | 99.59 34 | 99.98 4 | 99.65 138 |
|
| MP-MVS-pluss | | | 99.37 59 | 99.20 75 | 99.88 10 | 99.90 4 | 99.87 15 | 99.30 266 | 99.52 111 | 97.18 267 | 99.60 122 | 99.79 125 | 98.79 50 | 99.95 65 | 98.83 134 | 99.91 37 | 99.83 55 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| MSP-MVS | | | 99.42 48 | 99.27 64 | 99.88 10 | 99.89 8 | 99.80 31 | 99.67 69 | 99.50 145 | 98.70 88 | 99.77 63 | 99.49 261 | 98.21 98 | 99.95 65 | 98.46 186 | 99.77 119 | 99.88 28 |
| 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 |
| testdata2 | | | | | | | | | | | | | | 99.95 65 | 96.67 326 | | |
|
| APD-MVS_3200maxsize | | | 99.48 30 | 99.35 41 | 99.85 34 | 99.76 70 | 99.83 19 | 99.63 90 | 99.54 93 | 98.36 121 | 99.79 54 | 99.82 86 | 98.86 41 | 99.95 65 | 98.62 160 | 99.81 103 | 99.78 86 |
|
| RPMNet | | | 96.72 337 | 95.90 350 | 99.19 181 | 99.18 284 | 98.49 225 | 99.22 301 | 99.52 111 | 88.72 416 | 99.56 130 | 97.38 410 | 94.08 263 | 99.95 65 | 86.87 418 | 98.58 223 | 99.14 243 |
|
| sss | | | 99.17 91 | 99.05 93 | 99.53 117 | 99.62 146 | 98.97 166 | 99.36 249 | 99.62 43 | 97.83 194 | 99.67 92 | 99.65 197 | 97.37 124 | 99.95 65 | 99.19 81 | 99.19 179 | 99.68 128 |
|
| MVSMamba_PlusPlus | | | 99.46 35 | 99.41 30 | 99.64 88 | 99.68 117 | 99.50 96 | 99.75 42 | 99.50 145 | 98.27 131 | 99.87 34 | 99.92 17 | 98.09 104 | 99.94 77 | 99.65 30 | 99.95 18 | 99.47 200 |
|
| fmvsm_s_conf0.1_n_a | | | 99.26 79 | 99.06 92 | 99.85 34 | 99.52 179 | 99.62 72 | 99.54 149 | 99.62 43 | 98.69 89 | 99.99 2 | 99.96 1 | 94.47 249 | 99.94 77 | 99.88 18 | 99.92 30 | 99.98 2 |
|
| fmvsm_s_conf0.1_n | | | 99.29 73 | 99.10 86 | 99.86 27 | 99.70 109 | 99.65 64 | 99.53 158 | 99.62 43 | 98.74 85 | 99.99 2 | 99.95 3 | 94.53 247 | 99.94 77 | 99.89 17 | 99.96 13 | 99.97 4 |
|
| TSAR-MVS + MP. | | | 99.58 13 | 99.50 17 | 99.81 50 | 99.91 1 | 99.66 60 | 99.63 90 | 99.39 236 | 98.91 67 | 99.78 59 | 99.85 62 | 99.36 2 | 99.94 77 | 98.84 131 | 99.88 61 | 99.82 60 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| RRT-MVS | | | 98.91 138 | 98.75 144 | 99.39 148 | 99.46 205 | 98.61 211 | 99.76 37 | 99.50 145 | 98.06 168 | 99.81 48 | 99.88 43 | 93.91 271 | 99.94 77 | 99.11 89 | 99.27 174 | 99.61 154 |
|
| mamv4 | | | 99.33 66 | 99.42 26 | 99.07 192 | 99.67 119 | 97.73 267 | 99.42 222 | 99.60 56 | 98.15 148 | 99.94 20 | 99.91 23 | 98.42 88 | 99.94 77 | 99.72 24 | 99.96 13 | 99.54 173 |
|
| XVS | | | 99.53 20 | 99.42 26 | 99.87 16 | 99.85 26 | 99.83 19 | 99.69 60 | 99.68 20 | 98.98 57 | 99.37 175 | 99.74 152 | 98.81 47 | 99.94 77 | 98.79 139 | 99.86 72 | 99.84 45 |
|
| X-MVStestdata | | | 96.55 340 | 95.45 359 | 99.87 16 | 99.85 26 | 99.83 19 | 99.69 60 | 99.68 20 | 98.98 57 | 99.37 175 | 64.01 433 | 98.81 47 | 99.94 77 | 98.79 139 | 99.86 72 | 99.84 45 |
|
| 旧先验2 | | | | | | | | 98.96 356 | | 96.70 305 | 99.47 147 | | | 99.94 77 | 98.19 209 | | |
|
| æ–°å‡ ä½•1 | | | | | 99.75 65 | 99.75 80 | 99.59 77 | | 99.54 93 | 96.76 301 | 99.29 193 | 99.64 203 | 98.43 86 | 99.94 77 | 96.92 316 | 99.66 140 | 99.72 111 |
|
| testdata | | | | | 99.54 109 | 99.75 80 | 98.95 173 | | 99.51 125 | 97.07 279 | 99.43 157 | 99.70 167 | 98.87 40 | 99.94 77 | 97.76 249 | 99.64 143 | 99.72 111 |
|
| HPM-MVS |  | | 99.42 48 | 99.28 61 | 99.83 46 | 99.90 4 | 99.72 48 | 99.81 20 | 99.54 93 | 97.59 222 | 99.68 88 | 99.63 209 | 98.91 37 | 99.94 77 | 98.58 169 | 99.91 37 | 99.84 45 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| CHOSEN 1792x2688 | | | 99.19 87 | 99.10 86 | 99.45 137 | 99.89 8 | 98.52 221 | 99.39 237 | 99.94 1 | 98.73 86 | 99.11 233 | 99.89 35 | 95.50 195 | 99.94 77 | 99.50 46 | 99.97 7 | 99.89 22 |
|
| APD-MVS |  | | 99.27 77 | 99.08 90 | 99.84 45 | 99.75 80 | 99.79 34 | 99.50 175 | 99.50 145 | 97.16 269 | 99.77 63 | 99.82 86 | 98.78 51 | 99.94 77 | 97.56 270 | 99.86 72 | 99.80 76 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| DELS-MVS | | | 99.48 30 | 99.42 26 | 99.65 82 | 99.72 99 | 99.40 109 | 99.05 333 | 99.66 28 | 99.14 28 | 99.57 129 | 99.80 113 | 98.46 84 | 99.94 77 | 99.57 37 | 99.84 87 | 99.60 157 |
| 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 |
| WTY-MVS | | | 99.06 120 | 98.88 128 | 99.61 96 | 99.62 146 | 99.16 139 | 99.37 244 | 99.56 76 | 98.04 171 | 99.53 137 | 99.62 214 | 96.84 144 | 99.94 77 | 98.85 128 | 98.49 231 | 99.72 111 |
|
| DeepC-MVS | | 98.35 2 | 99.30 71 | 99.19 77 | 99.64 88 | 99.82 43 | 99.23 132 | 99.62 95 | 99.55 84 | 98.94 63 | 99.63 112 | 99.95 3 | 95.82 185 | 99.94 77 | 99.37 59 | 99.97 7 | 99.73 103 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| LS3D | | | 99.27 77 | 99.12 84 | 99.74 68 | 99.18 284 | 99.75 44 | 99.56 130 | 99.57 71 | 98.45 110 | 99.49 145 | 99.85 62 | 97.77 114 | 99.94 77 | 98.33 199 | 99.84 87 | 99.52 180 |
|
| GDP-MVS | | | 99.08 117 | 98.89 126 | 99.64 88 | 99.53 173 | 99.34 114 | 99.64 84 | 99.48 167 | 98.32 126 | 99.77 63 | 99.66 195 | 95.14 210 | 99.93 95 | 98.97 107 | 99.50 156 | 99.64 145 |
|
| SDMVSNet | | | 99.11 111 | 98.90 123 | 99.75 65 | 99.81 47 | 99.59 77 | 99.81 20 | 99.65 35 | 98.78 82 | 99.64 109 | 99.88 43 | 94.56 243 | 99.93 95 | 99.67 28 | 98.26 244 | 99.72 111 |
|
| FE-MVS | | | 98.48 177 | 98.17 192 | 99.40 144 | 99.54 172 | 98.96 170 | 99.68 66 | 98.81 367 | 95.54 364 | 99.62 116 | 99.70 167 | 93.82 274 | 99.93 95 | 97.35 288 | 99.46 158 | 99.32 229 |
|
| SF-MVS | | | 99.38 58 | 99.24 69 | 99.79 56 | 99.79 56 | 99.68 55 | 99.57 124 | 99.54 93 | 97.82 198 | 99.71 82 | 99.80 113 | 98.95 30 | 99.93 95 | 98.19 209 | 99.84 87 | 99.74 98 |
|
| dcpmvs_2 | | | 99.23 85 | 99.58 7 | 98.16 313 | 99.83 40 | 94.68 380 | 99.76 37 | 99.52 111 | 99.07 44 | 99.98 9 | 99.88 43 | 98.56 77 | 99.93 95 | 99.67 28 | 99.98 4 | 99.87 33 |
|
| Anonymous20240529 | | | 98.09 214 | 97.68 252 | 99.34 152 | 99.66 129 | 98.44 230 | 99.40 233 | 99.43 222 | 93.67 390 | 99.22 211 | 99.89 35 | 90.23 351 | 99.93 95 | 99.26 77 | 98.33 238 | 99.66 134 |
|
| ACMMP_NAP | | | 99.47 33 | 99.34 43 | 99.88 10 | 99.87 15 | 99.86 16 | 99.47 199 | 99.48 167 | 98.05 170 | 99.76 69 | 99.86 56 | 98.82 46 | 99.93 95 | 98.82 138 | 99.91 37 | 99.84 45 |
|
| EI-MVSNet-UG-set | | | 99.58 13 | 99.57 8 | 99.64 88 | 99.78 58 | 99.14 144 | 99.60 102 | 99.45 208 | 99.01 49 | 99.90 24 | 99.83 77 | 98.98 24 | 99.93 95 | 99.59 34 | 99.95 18 | 99.86 35 |
|
| æ— å…ˆéªŒ | | | | | | | | 98.99 349 | 99.51 125 | 96.89 295 | | | | 99.93 95 | 97.53 273 | | 99.72 111 |
|
| VDDNet | | | 97.55 301 | 97.02 322 | 99.16 184 | 99.49 195 | 98.12 246 | 99.38 242 | 99.30 290 | 95.35 366 | 99.68 88 | 99.90 30 | 82.62 410 | 99.93 95 | 99.31 69 | 98.13 256 | 99.42 212 |
|
| ab-mvs | | | 98.86 144 | 98.63 157 | 99.54 109 | 99.64 137 | 99.19 134 | 99.44 210 | 99.54 93 | 97.77 202 | 99.30 190 | 99.81 100 | 94.20 257 | 99.93 95 | 99.17 85 | 98.82 211 | 99.49 193 |
|
| F-COLMAP | | | 99.19 87 | 99.04 95 | 99.64 88 | 99.78 58 | 99.27 127 | 99.42 222 | 99.54 93 | 97.29 258 | 99.41 164 | 99.59 223 | 98.42 88 | 99.93 95 | 98.19 209 | 99.69 135 | 99.73 103 |
|
| BP-MVS1 | | | 99.12 106 | 98.94 119 | 99.65 82 | 99.51 182 | 99.30 122 | 99.67 69 | 98.92 348 | 98.48 106 | 99.84 40 | 99.69 177 | 94.96 214 | 99.92 107 | 99.62 33 | 99.79 114 | 99.71 120 |
|
| Anonymous202405211 | | | 98.30 195 | 97.98 216 | 99.26 173 | 99.57 161 | 98.16 242 | 99.41 225 | 98.55 391 | 96.03 358 | 99.19 220 | 99.74 152 | 91.87 321 | 99.92 107 | 99.16 86 | 98.29 243 | 99.70 122 |
|
| EI-MVSNet-Vis-set | | | 99.58 13 | 99.56 10 | 99.64 88 | 99.78 58 | 99.15 143 | 99.61 101 | 99.45 208 | 99.01 49 | 99.89 26 | 99.82 86 | 99.01 18 | 99.92 107 | 99.56 38 | 99.95 18 | 99.85 39 |
|
| VDD-MVS | | | 97.73 280 | 97.35 296 | 98.88 226 | 99.47 203 | 97.12 295 | 99.34 257 | 98.85 362 | 98.19 143 | 99.67 92 | 99.85 62 | 82.98 408 | 99.92 107 | 99.49 50 | 98.32 242 | 99.60 157 |
|
| VNet | | | 99.11 111 | 98.90 123 | 99.73 71 | 99.52 179 | 99.56 83 | 99.41 225 | 99.39 236 | 99.01 49 | 99.74 73 | 99.78 132 | 95.56 193 | 99.92 107 | 99.52 44 | 98.18 252 | 99.72 111 |
|
| XVG-OURS-SEG-HR | | | 98.69 167 | 98.62 162 | 98.89 224 | 99.71 104 | 97.74 266 | 99.12 318 | 99.54 93 | 98.44 113 | 99.42 160 | 99.71 163 | 94.20 257 | 99.92 107 | 98.54 179 | 98.90 205 | 99.00 262 |
|
| mvsmamba | | | 99.06 120 | 98.96 115 | 99.36 150 | 99.47 203 | 98.64 207 | 99.70 56 | 99.05 332 | 97.61 221 | 99.65 104 | 99.83 77 | 96.54 156 | 99.92 107 | 99.19 81 | 99.62 146 | 99.51 188 |
|
| HPM-MVS_fast | | | 99.51 22 | 99.40 31 | 99.85 34 | 99.91 1 | 99.79 34 | 99.76 37 | 99.56 76 | 97.72 207 | 99.76 69 | 99.75 147 | 99.13 12 | 99.92 107 | 99.07 95 | 99.92 30 | 99.85 39 |
|
| HY-MVS | | 97.30 7 | 98.85 151 | 98.64 156 | 99.47 134 | 99.42 215 | 99.08 152 | 99.62 95 | 99.36 253 | 97.39 250 | 99.28 194 | 99.68 184 | 96.44 162 | 99.92 107 | 98.37 194 | 98.22 247 | 99.40 217 |
|
| DP-MVS | | | 99.16 93 | 98.95 117 | 99.78 59 | 99.77 66 | 99.53 90 | 99.41 225 | 99.50 145 | 97.03 285 | 99.04 250 | 99.88 43 | 97.39 121 | 99.92 107 | 98.66 155 | 99.90 46 | 99.87 33 |
|
| IB-MVS | | 95.67 18 | 96.22 346 | 95.44 360 | 98.57 265 | 99.21 276 | 96.70 323 | 98.65 390 | 97.74 408 | 96.71 304 | 97.27 374 | 98.54 385 | 86.03 392 | 99.92 107 | 98.47 185 | 86.30 414 | 99.10 246 |
| 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 |
| DeepC-MVS_fast | | 98.69 1 | 99.49 26 | 99.39 33 | 99.77 62 | 99.63 140 | 99.59 77 | 99.36 249 | 99.46 197 | 99.07 44 | 99.79 54 | 99.82 86 | 98.85 42 | 99.92 107 | 98.68 153 | 99.87 64 | 99.82 60 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| balanced_conf03 | | | 99.46 35 | 99.39 33 | 99.67 77 | 99.55 169 | 99.58 82 | 99.74 46 | 99.51 125 | 98.42 114 | 99.87 34 | 99.84 72 | 98.05 107 | 99.91 119 | 99.58 36 | 99.94 25 | 99.52 180 |
|
| 9.14 | | | | 99.10 86 | | 99.72 99 | | 99.40 233 | 99.51 125 | 97.53 232 | 99.64 109 | 99.78 132 | 98.84 44 | 99.91 119 | 97.63 261 | 99.82 100 | |
|
| SMA-MVS |  | | 99.44 43 | 99.30 55 | 99.85 34 | 99.73 95 | 99.83 19 | 99.56 130 | 99.47 188 | 97.45 241 | 99.78 59 | 99.82 86 | 99.18 10 | 99.91 119 | 98.79 139 | 99.89 57 | 99.81 67 |
| 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 |
| TEST9 | | | | | | 99.67 119 | 99.65 64 | 99.05 333 | 99.41 227 | 96.22 343 | 98.95 265 | 99.49 261 | 98.77 54 | 99.91 119 | | | |
|
| train_agg | | | 99.02 126 | 98.77 142 | 99.77 62 | 99.67 119 | 99.65 64 | 99.05 333 | 99.41 227 | 96.28 337 | 98.95 265 | 99.49 261 | 98.76 55 | 99.91 119 | 97.63 261 | 99.72 130 | 99.75 94 |
|
| test_8 | | | | | | 99.67 119 | 99.61 74 | 99.03 338 | 99.41 227 | 96.28 337 | 98.93 268 | 99.48 267 | 98.76 55 | 99.91 119 | | | |
|
| agg_prior | | | | | | 99.67 119 | 99.62 72 | | 99.40 233 | | 98.87 278 | | | 99.91 119 | | | |
|
| 原ACMM1 | | | | | 99.65 82 | 99.73 95 | 99.33 115 | | 99.47 188 | 97.46 238 | 99.12 231 | 99.66 195 | 98.67 69 | 99.91 119 | 97.70 258 | 99.69 135 | 99.71 120 |
|
| LFMVS | | | 97.90 247 | 97.35 296 | 99.54 109 | 99.52 179 | 99.01 161 | 99.39 237 | 98.24 398 | 97.10 277 | 99.65 104 | 99.79 125 | 84.79 401 | 99.91 119 | 99.28 73 | 98.38 235 | 99.69 124 |
|
| XVG-OURS | | | 98.73 165 | 98.68 151 | 98.88 226 | 99.70 109 | 97.73 267 | 98.92 363 | 99.55 84 | 98.52 103 | 99.45 150 | 99.84 72 | 95.27 203 | 99.91 119 | 98.08 220 | 98.84 209 | 99.00 262 |
|
| PLC |  | 97.94 4 | 99.02 126 | 98.85 133 | 99.53 117 | 99.66 129 | 99.01 161 | 99.24 294 | 99.52 111 | 96.85 297 | 99.27 199 | 99.48 267 | 98.25 97 | 99.91 119 | 97.76 249 | 99.62 146 | 99.65 138 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| PCF-MVS | | 97.08 14 | 97.66 294 | 97.06 321 | 99.47 134 | 99.61 150 | 99.09 149 | 98.04 416 | 99.25 302 | 91.24 407 | 98.51 326 | 99.70 167 | 94.55 245 | 99.91 119 | 92.76 395 | 99.85 79 | 99.42 212 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| mmtdpeth | | | 96.95 332 | 96.71 331 | 97.67 351 | 99.33 242 | 94.90 377 | 99.89 2 | 99.28 296 | 98.15 148 | 99.72 80 | 98.57 384 | 86.56 390 | 99.90 131 | 99.82 21 | 89.02 409 | 98.20 379 |
|
| UWE-MVS | | | 97.58 300 | 97.29 307 | 98.48 276 | 99.09 308 | 96.25 343 | 99.01 346 | 96.61 420 | 97.86 188 | 99.19 220 | 99.01 355 | 88.72 366 | 99.90 131 | 97.38 286 | 98.69 217 | 99.28 232 |
|
| test_vis1_rt | | | 95.81 356 | 95.65 355 | 96.32 382 | 99.67 119 | 91.35 409 | 99.49 186 | 96.74 418 | 98.25 134 | 95.24 397 | 98.10 403 | 74.96 418 | 99.90 131 | 99.53 42 | 98.85 208 | 97.70 403 |
|
| FA-MVS(test-final) | | | 98.75 162 | 98.53 173 | 99.41 143 | 99.55 169 | 99.05 157 | 99.80 25 | 99.01 337 | 96.59 319 | 99.58 126 | 99.59 223 | 95.39 198 | 99.90 131 | 97.78 245 | 99.49 157 | 99.28 232 |
|
| MCST-MVS | | | 99.43 46 | 99.30 55 | 99.82 47 | 99.79 56 | 99.74 47 | 99.29 271 | 99.40 233 | 98.79 79 | 99.52 139 | 99.62 214 | 98.91 37 | 99.90 131 | 98.64 157 | 99.75 124 | 99.82 60 |
|
| CDPH-MVS | | | 99.13 100 | 98.91 122 | 99.80 53 | 99.75 80 | 99.71 50 | 99.15 312 | 99.41 227 | 96.60 317 | 99.60 122 | 99.55 238 | 98.83 45 | 99.90 131 | 97.48 277 | 99.83 96 | 99.78 86 |
|
| NCCC | | | 99.34 65 | 99.19 77 | 99.79 56 | 99.61 150 | 99.65 64 | 99.30 266 | 99.48 167 | 98.86 69 | 99.21 214 | 99.63 209 | 98.72 64 | 99.90 131 | 98.25 205 | 99.63 145 | 99.80 76 |
|
| 114514_t | | | 98.93 136 | 98.67 152 | 99.72 74 | 99.85 26 | 99.53 90 | 99.62 95 | 99.59 62 | 92.65 402 | 99.71 82 | 99.78 132 | 98.06 106 | 99.90 131 | 98.84 131 | 99.91 37 | 99.74 98 |
|
| 1112_ss | | | 98.98 132 | 98.77 142 | 99.59 99 | 99.68 117 | 99.02 159 | 99.25 292 | 99.48 167 | 97.23 264 | 99.13 229 | 99.58 227 | 96.93 143 | 99.90 131 | 98.87 121 | 98.78 214 | 99.84 45 |
|
| PHI-MVS | | | 99.30 71 | 99.17 79 | 99.70 75 | 99.56 165 | 99.52 94 | 99.58 117 | 99.80 8 | 97.12 273 | 99.62 116 | 99.73 158 | 98.58 75 | 99.90 131 | 98.61 163 | 99.91 37 | 99.68 128 |
|
| AdaColmap |  | | 99.01 130 | 98.80 138 | 99.66 78 | 99.56 165 | 99.54 87 | 99.18 307 | 99.70 15 | 98.18 146 | 99.35 181 | 99.63 209 | 96.32 165 | 99.90 131 | 97.48 277 | 99.77 119 | 99.55 171 |
|
| COLMAP_ROB |  | 97.56 6 | 98.86 144 | 98.75 144 | 99.17 183 | 99.88 11 | 98.53 217 | 99.34 257 | 99.59 62 | 97.55 228 | 98.70 304 | 99.89 35 | 95.83 184 | 99.90 131 | 98.10 215 | 99.90 46 | 99.08 251 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| thisisatest0530 | | | 98.35 191 | 98.03 211 | 99.31 159 | 99.63 140 | 98.56 214 | 99.54 149 | 96.75 417 | 97.53 232 | 99.73 75 | 99.65 197 | 91.25 339 | 99.89 143 | 98.62 160 | 99.56 151 | 99.48 194 |
|
| tttt0517 | | | 98.42 182 | 98.14 196 | 99.28 171 | 99.66 129 | 98.38 234 | 99.74 46 | 96.85 415 | 97.68 213 | 99.79 54 | 99.74 152 | 91.39 335 | 99.89 143 | 98.83 134 | 99.56 151 | 99.57 168 |
|
| test12 | | | | | 99.75 65 | 99.64 137 | 99.61 74 | | 99.29 294 | | 99.21 214 | | 98.38 91 | 99.89 143 | | 99.74 127 | 99.74 98 |
|
| Test_1112_low_res | | | 98.89 139 | 98.66 155 | 99.57 104 | 99.69 113 | 98.95 173 | 99.03 338 | 99.47 188 | 96.98 287 | 99.15 227 | 99.23 331 | 96.77 147 | 99.89 143 | 98.83 134 | 98.78 214 | 99.86 35 |
|
| CNLPA | | | 99.14 98 | 98.99 107 | 99.59 99 | 99.58 159 | 99.41 108 | 99.16 309 | 99.44 216 | 98.45 110 | 99.19 220 | 99.49 261 | 98.08 105 | 99.89 143 | 97.73 253 | 99.75 124 | 99.48 194 |
|
| sd_testset | | | 98.75 162 | 98.57 169 | 99.29 167 | 99.81 47 | 98.26 238 | 99.56 130 | 99.62 43 | 98.78 82 | 99.64 109 | 99.88 43 | 92.02 318 | 99.88 148 | 99.54 40 | 98.26 244 | 99.72 111 |
|
| APD_test1 | | | 95.87 354 | 96.49 336 | 94.00 389 | 99.53 173 | 84.01 418 | 99.54 149 | 99.32 282 | 95.91 360 | 97.99 355 | 99.85 62 | 85.49 396 | 99.88 148 | 91.96 398 | 98.84 209 | 98.12 383 |
|
| diffmvs |  | | 99.14 98 | 99.02 101 | 99.51 125 | 99.61 150 | 98.96 170 | 99.28 276 | 99.49 155 | 98.46 108 | 99.72 80 | 99.71 163 | 96.50 158 | 99.88 148 | 99.31 69 | 99.11 186 | 99.67 131 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| PVSNet_BlendedMVS | | | 98.86 144 | 98.80 138 | 99.03 198 | 99.76 70 | 98.79 195 | 99.28 276 | 99.91 3 | 97.42 247 | 99.67 92 | 99.37 298 | 97.53 118 | 99.88 148 | 98.98 104 | 97.29 303 | 98.42 364 |
|
| PVSNet_Blended | | | 99.08 117 | 98.97 111 | 99.42 142 | 99.76 70 | 98.79 195 | 98.78 377 | 99.91 3 | 96.74 302 | 99.67 92 | 99.49 261 | 97.53 118 | 99.88 148 | 98.98 104 | 99.85 79 | 99.60 157 |
|
| MVS | | | 97.28 321 | 96.55 334 | 99.48 131 | 98.78 355 | 98.95 173 | 99.27 281 | 99.39 236 | 83.53 420 | 98.08 350 | 99.54 243 | 96.97 141 | 99.87 153 | 94.23 376 | 99.16 180 | 99.63 150 |
|
| MG-MVS | | | 99.13 100 | 99.02 101 | 99.45 137 | 99.57 161 | 98.63 208 | 99.07 328 | 99.34 265 | 98.99 54 | 99.61 119 | 99.82 86 | 97.98 109 | 99.87 153 | 97.00 307 | 99.80 107 | 99.85 39 |
|
| MSDG | | | 98.98 132 | 98.80 138 | 99.53 117 | 99.76 70 | 99.19 134 | 98.75 380 | 99.55 84 | 97.25 261 | 99.47 147 | 99.77 140 | 97.82 112 | 99.87 153 | 96.93 314 | 99.90 46 | 99.54 173 |
|
| ETV-MVS | | | 99.26 79 | 99.21 74 | 99.40 144 | 99.46 205 | 99.30 122 | 99.56 130 | 99.52 111 | 98.52 103 | 99.44 155 | 99.27 326 | 98.41 90 | 99.86 156 | 99.10 92 | 99.59 149 | 99.04 258 |
|
| thisisatest0515 | | | 98.14 209 | 97.79 235 | 99.19 181 | 99.50 193 | 98.50 224 | 98.61 392 | 96.82 416 | 96.95 291 | 99.54 135 | 99.43 279 | 91.66 330 | 99.86 156 | 98.08 220 | 99.51 155 | 99.22 240 |
|
| thres600view7 | | | 97.86 253 | 97.51 270 | 98.92 215 | 99.72 99 | 97.95 257 | 99.59 109 | 98.74 376 | 97.94 180 | 99.27 199 | 98.62 381 | 91.75 324 | 99.86 156 | 93.73 382 | 98.19 251 | 98.96 268 |
|
| lupinMVS | | | 99.13 100 | 99.01 105 | 99.46 136 | 99.51 182 | 98.94 176 | 99.05 333 | 99.16 317 | 97.86 188 | 99.80 52 | 99.56 235 | 97.39 121 | 99.86 156 | 98.94 109 | 99.85 79 | 99.58 165 |
|
| PVSNet | | 96.02 17 | 98.85 151 | 98.84 135 | 98.89 224 | 99.73 95 | 97.28 286 | 98.32 408 | 99.60 56 | 97.86 188 | 99.50 142 | 99.57 232 | 96.75 148 | 99.86 156 | 98.56 175 | 99.70 134 | 99.54 173 |
|
| MAR-MVS | | | 98.86 144 | 98.63 157 | 99.54 109 | 99.37 233 | 99.66 60 | 99.45 204 | 99.54 93 | 96.61 314 | 99.01 253 | 99.40 289 | 97.09 134 | 99.86 156 | 97.68 260 | 99.53 154 | 99.10 246 |
| 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 |
| testing91 | | | 97.44 313 | 97.02 322 | 98.71 253 | 99.18 284 | 96.89 317 | 99.19 305 | 99.04 333 | 97.78 201 | 98.31 337 | 98.29 395 | 85.41 397 | 99.85 162 | 98.01 226 | 97.95 261 | 99.39 218 |
|
| test2506 | | | 96.81 336 | 96.65 332 | 97.29 363 | 99.74 88 | 92.21 406 | 99.60 102 | 85.06 437 | 99.13 29 | 99.77 63 | 99.93 10 | 87.82 383 | 99.85 162 | 99.38 58 | 99.38 163 | 99.80 76 |
|
| AllTest | | | 98.87 141 | 98.72 146 | 99.31 159 | 99.86 20 | 98.48 227 | 99.56 130 | 99.61 50 | 97.85 191 | 99.36 178 | 99.85 62 | 95.95 177 | 99.85 162 | 96.66 327 | 99.83 96 | 99.59 161 |
|
| TestCases | | | | | 99.31 159 | 99.86 20 | 98.48 227 | | 99.61 50 | 97.85 191 | 99.36 178 | 99.85 62 | 95.95 177 | 99.85 162 | 96.66 327 | 99.83 96 | 99.59 161 |
|
| jason | | | 99.13 100 | 99.03 97 | 99.45 137 | 99.46 205 | 98.87 183 | 99.12 318 | 99.26 300 | 98.03 173 | 99.79 54 | 99.65 197 | 97.02 139 | 99.85 162 | 99.02 101 | 99.90 46 | 99.65 138 |
| jason: jason. |
| CNVR-MVS | | | 99.42 48 | 99.30 55 | 99.78 59 | 99.62 146 | 99.71 50 | 99.26 290 | 99.52 111 | 98.82 74 | 99.39 171 | 99.71 163 | 98.96 25 | 99.85 162 | 98.59 168 | 99.80 107 | 99.77 88 |
|
| PAPM_NR | | | 99.04 123 | 98.84 135 | 99.66 78 | 99.74 88 | 99.44 104 | 99.39 237 | 99.38 244 | 97.70 211 | 99.28 194 | 99.28 323 | 98.34 93 | 99.85 162 | 96.96 311 | 99.45 159 | 99.69 124 |
|
| testing99 | | | 97.36 316 | 96.94 325 | 98.63 258 | 99.18 284 | 96.70 323 | 99.30 266 | 98.93 345 | 97.71 208 | 98.23 342 | 98.26 396 | 84.92 400 | 99.84 169 | 98.04 225 | 97.85 268 | 99.35 224 |
|
| testing222 | | | 97.16 326 | 96.50 335 | 99.16 184 | 99.16 294 | 98.47 229 | 99.27 281 | 98.66 387 | 97.71 208 | 98.23 342 | 98.15 399 | 82.28 413 | 99.84 169 | 97.36 287 | 97.66 274 | 99.18 242 |
|
| test1111 | | | 98.04 224 | 98.11 200 | 97.83 341 | 99.74 88 | 93.82 391 | 99.58 117 | 95.40 424 | 99.12 34 | 99.65 104 | 99.93 10 | 90.73 344 | 99.84 169 | 99.43 56 | 99.38 163 | 99.82 60 |
|
| ECVR-MVS |  | | 98.04 224 | 98.05 209 | 98.00 326 | 99.74 88 | 94.37 386 | 99.59 109 | 94.98 425 | 99.13 29 | 99.66 97 | 99.93 10 | 90.67 345 | 99.84 169 | 99.40 57 | 99.38 163 | 99.80 76 |
|
| test_yl | | | 98.86 144 | 98.63 157 | 99.54 109 | 99.49 195 | 99.18 136 | 99.50 175 | 99.07 329 | 98.22 139 | 99.61 119 | 99.51 255 | 95.37 199 | 99.84 169 | 98.60 166 | 98.33 238 | 99.59 161 |
|
| DCV-MVSNet | | | 98.86 144 | 98.63 157 | 99.54 109 | 99.49 195 | 99.18 136 | 99.50 175 | 99.07 329 | 98.22 139 | 99.61 119 | 99.51 255 | 95.37 199 | 99.84 169 | 98.60 166 | 98.33 238 | 99.59 161 |
|
| Fast-Effi-MVS+ | | | 98.70 166 | 98.43 177 | 99.51 125 | 99.51 182 | 99.28 125 | 99.52 159 | 99.47 188 | 96.11 353 | 99.01 253 | 99.34 308 | 96.20 169 | 99.84 169 | 97.88 234 | 98.82 211 | 99.39 218 |
|
| TSAR-MVS + GP. | | | 99.36 62 | 99.36 39 | 99.36 150 | 99.67 119 | 98.61 211 | 99.07 328 | 99.33 272 | 99.00 52 | 99.82 47 | 99.81 100 | 99.06 16 | 99.84 169 | 99.09 93 | 99.42 161 | 99.65 138 |
|
| tpmrst | | | 98.33 192 | 98.48 175 | 97.90 335 | 99.16 294 | 94.78 378 | 99.31 264 | 99.11 322 | 97.27 259 | 99.45 150 | 99.59 223 | 95.33 201 | 99.84 169 | 98.48 182 | 98.61 220 | 99.09 250 |
|
| Vis-MVSNet |  | | 99.12 106 | 98.97 111 | 99.56 106 | 99.78 58 | 99.10 148 | 99.68 66 | 99.66 28 | 98.49 105 | 99.86 38 | 99.87 52 | 94.77 229 | 99.84 169 | 99.19 81 | 99.41 162 | 99.74 98 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| PAPR | | | 98.63 173 | 98.34 183 | 99.51 125 | 99.40 225 | 99.03 158 | 98.80 375 | 99.36 253 | 96.33 334 | 99.00 257 | 99.12 345 | 98.46 84 | 99.84 169 | 95.23 362 | 99.37 170 | 99.66 134 |
|
| PatchMatch-RL | | | 98.84 154 | 98.62 162 | 99.52 123 | 99.71 104 | 99.28 125 | 99.06 331 | 99.77 9 | 97.74 206 | 99.50 142 | 99.53 247 | 95.41 197 | 99.84 169 | 97.17 301 | 99.64 143 | 99.44 210 |
|
| EPP-MVSNet | | | 99.13 100 | 98.99 107 | 99.53 117 | 99.65 135 | 99.06 155 | 99.81 20 | 99.33 272 | 97.43 245 | 99.60 122 | 99.88 43 | 97.14 132 | 99.84 169 | 99.13 87 | 98.94 200 | 99.69 124 |
|
| testing3-2 | | | 97.84 258 | 97.70 250 | 98.24 308 | 99.53 173 | 95.37 367 | 99.55 144 | 98.67 386 | 98.46 108 | 99.27 199 | 99.34 308 | 86.58 389 | 99.83 182 | 99.32 68 | 98.63 219 | 99.52 180 |
|
| testing11 | | | 97.50 306 | 97.10 319 | 98.71 253 | 99.20 278 | 96.91 315 | 99.29 271 | 98.82 365 | 97.89 185 | 98.21 345 | 98.40 390 | 85.63 395 | 99.83 182 | 98.45 187 | 98.04 259 | 99.37 222 |
|
| thres100view900 | | | 97.76 272 | 97.45 279 | 98.69 255 | 99.72 99 | 97.86 263 | 99.59 109 | 98.74 376 | 97.93 181 | 99.26 204 | 98.62 381 | 91.75 324 | 99.83 182 | 93.22 387 | 98.18 252 | 98.37 370 |
|
| tfpn200view9 | | | 97.72 282 | 97.38 292 | 98.72 251 | 99.69 113 | 97.96 255 | 99.50 175 | 98.73 382 | 97.83 194 | 99.17 225 | 98.45 388 | 91.67 328 | 99.83 182 | 93.22 387 | 98.18 252 | 98.37 370 |
|
| test_prior | | | | | 99.68 76 | 99.67 119 | 99.48 99 | | 99.56 76 | | | | | 99.83 182 | | | 99.74 98 |
|
| 1314 | | | 98.68 168 | 98.54 172 | 99.11 190 | 98.89 339 | 98.65 205 | 99.27 281 | 99.49 155 | 96.89 295 | 97.99 355 | 99.56 235 | 97.72 116 | 99.83 182 | 97.74 252 | 99.27 174 | 98.84 274 |
|
| thres400 | | | 97.77 271 | 97.38 292 | 98.92 215 | 99.69 113 | 97.96 255 | 99.50 175 | 98.73 382 | 97.83 194 | 99.17 225 | 98.45 388 | 91.67 328 | 99.83 182 | 93.22 387 | 98.18 252 | 98.96 268 |
|
| casdiffmvs |  | | 99.13 100 | 98.98 110 | 99.56 106 | 99.65 135 | 99.16 139 | 99.56 130 | 99.50 145 | 98.33 125 | 99.41 164 | 99.86 56 | 95.92 180 | 99.83 182 | 99.45 55 | 99.16 180 | 99.70 122 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| SPE-MVS-test | | | 99.49 26 | 99.48 19 | 99.54 109 | 99.78 58 | 99.30 122 | 99.89 2 | 99.58 66 | 98.56 99 | 99.73 75 | 99.69 177 | 98.55 78 | 99.82 190 | 99.69 26 | 99.85 79 | 99.48 194 |
|
| MVS_Test | | | 99.10 115 | 98.97 111 | 99.48 131 | 99.49 195 | 99.14 144 | 99.67 69 | 99.34 265 | 97.31 256 | 99.58 126 | 99.76 144 | 97.65 117 | 99.82 190 | 98.87 121 | 99.07 192 | 99.46 205 |
|
| dp | | | 97.75 276 | 97.80 234 | 97.59 355 | 99.10 305 | 93.71 394 | 99.32 261 | 98.88 358 | 96.48 326 | 99.08 241 | 99.55 238 | 92.67 302 | 99.82 190 | 96.52 331 | 98.58 223 | 99.24 238 |
|
| RPSCF | | | 98.22 199 | 98.62 162 | 96.99 369 | 99.82 43 | 91.58 408 | 99.72 52 | 99.44 216 | 96.61 314 | 99.66 97 | 99.89 35 | 95.92 180 | 99.82 190 | 97.46 280 | 99.10 189 | 99.57 168 |
|
| PMMVS | | | 98.80 158 | 98.62 162 | 99.34 152 | 99.27 260 | 98.70 201 | 98.76 379 | 99.31 286 | 97.34 253 | 99.21 214 | 99.07 347 | 97.20 131 | 99.82 190 | 98.56 175 | 98.87 206 | 99.52 180 |
|
| UBG | | | 97.85 254 | 97.48 273 | 98.95 209 | 99.25 267 | 97.64 274 | 99.24 294 | 98.74 376 | 97.90 184 | 98.64 314 | 98.20 398 | 88.65 370 | 99.81 195 | 98.27 204 | 98.40 233 | 99.42 212 |
|
| EIA-MVS | | | 99.18 89 | 99.09 89 | 99.45 137 | 99.49 195 | 99.18 136 | 99.67 69 | 99.53 106 | 97.66 216 | 99.40 169 | 99.44 277 | 98.10 103 | 99.81 195 | 98.94 109 | 99.62 146 | 99.35 224 |
|
| Effi-MVS+ | | | 98.81 155 | 98.59 168 | 99.48 131 | 99.46 205 | 99.12 147 | 98.08 415 | 99.50 145 | 97.50 236 | 99.38 173 | 99.41 285 | 96.37 164 | 99.81 195 | 99.11 89 | 98.54 228 | 99.51 188 |
|
| thres200 | | | 97.61 298 | 97.28 308 | 98.62 259 | 99.64 137 | 98.03 249 | 99.26 290 | 98.74 376 | 97.68 213 | 99.09 239 | 98.32 394 | 91.66 330 | 99.81 195 | 92.88 392 | 98.22 247 | 98.03 389 |
|
| tpmvs | | | 97.98 235 | 98.02 213 | 97.84 340 | 99.04 318 | 94.73 379 | 99.31 264 | 99.20 312 | 96.10 357 | 98.76 294 | 99.42 281 | 94.94 215 | 99.81 195 | 96.97 310 | 98.45 232 | 98.97 266 |
|
| casdiffmvs_mvg |  | | 99.15 95 | 99.02 101 | 99.55 108 | 99.66 129 | 99.09 149 | 99.64 84 | 99.56 76 | 98.26 133 | 99.45 150 | 99.87 52 | 96.03 174 | 99.81 195 | 99.54 40 | 99.15 183 | 99.73 103 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| DeepPCF-MVS | | 98.18 3 | 98.81 155 | 99.37 37 | 97.12 367 | 99.60 155 | 91.75 407 | 98.61 392 | 99.44 216 | 99.35 17 | 99.83 46 | 99.85 62 | 98.70 66 | 99.81 195 | 99.02 101 | 99.91 37 | 99.81 67 |
|
| DPM-MVS | | | 98.95 135 | 98.71 148 | 99.66 78 | 99.63 140 | 99.55 85 | 98.64 391 | 99.10 323 | 97.93 181 | 99.42 160 | 99.55 238 | 98.67 69 | 99.80 202 | 95.80 347 | 99.68 138 | 99.61 154 |
|
| DP-MVS Recon | | | 99.12 106 | 98.95 117 | 99.65 82 | 99.74 88 | 99.70 52 | 99.27 281 | 99.57 71 | 96.40 333 | 99.42 160 | 99.68 184 | 98.75 58 | 99.80 202 | 97.98 228 | 99.72 130 | 99.44 210 |
|
| MVS_111021_LR | | | 99.41 52 | 99.33 45 | 99.65 82 | 99.77 66 | 99.51 95 | 98.94 361 | 99.85 6 | 98.82 74 | 99.65 104 | 99.74 152 | 98.51 81 | 99.80 202 | 98.83 134 | 99.89 57 | 99.64 145 |
|
| CS-MVS | | | 99.50 24 | 99.48 19 | 99.54 109 | 99.76 70 | 99.42 106 | 99.90 1 | 99.55 84 | 98.56 99 | 99.78 59 | 99.70 167 | 98.65 71 | 99.79 205 | 99.65 30 | 99.78 116 | 99.41 215 |
|
| Fast-Effi-MVS+-dtu | | | 98.77 161 | 98.83 137 | 98.60 260 | 99.41 220 | 96.99 309 | 99.52 159 | 99.49 155 | 98.11 156 | 99.24 206 | 99.34 308 | 96.96 142 | 99.79 205 | 97.95 230 | 99.45 159 | 99.02 261 |
|
| baseline1 | | | 98.31 193 | 97.95 220 | 99.38 149 | 99.50 193 | 98.74 198 | 99.59 109 | 98.93 345 | 98.41 115 | 99.14 228 | 99.60 221 | 94.59 241 | 99.79 205 | 98.48 182 | 93.29 385 | 99.61 154 |
|
| baseline | | | 99.15 95 | 99.02 101 | 99.53 117 | 99.66 129 | 99.14 144 | 99.72 52 | 99.48 167 | 98.35 122 | 99.42 160 | 99.84 72 | 96.07 172 | 99.79 205 | 99.51 45 | 99.14 184 | 99.67 131 |
|
| PVSNet_0 | | 94.43 19 | 96.09 351 | 95.47 358 | 97.94 331 | 99.31 250 | 94.34 388 | 97.81 417 | 99.70 15 | 97.12 273 | 97.46 368 | 98.75 378 | 89.71 356 | 99.79 205 | 97.69 259 | 81.69 420 | 99.68 128 |
|
| API-MVS | | | 99.04 123 | 99.03 97 | 99.06 194 | 99.40 225 | 99.31 120 | 99.55 144 | 99.56 76 | 98.54 101 | 99.33 185 | 99.39 293 | 98.76 55 | 99.78 210 | 96.98 309 | 99.78 116 | 98.07 386 |
|
| OMC-MVS | | | 99.08 117 | 99.04 95 | 99.20 180 | 99.67 119 | 98.22 240 | 99.28 276 | 99.52 111 | 98.07 164 | 99.66 97 | 99.81 100 | 97.79 113 | 99.78 210 | 97.79 244 | 99.81 103 | 99.60 157 |
|
| GeoE | | | 98.85 151 | 98.62 162 | 99.53 117 | 99.61 150 | 99.08 152 | 99.80 25 | 99.51 125 | 97.10 277 | 99.31 187 | 99.78 132 | 95.23 207 | 99.77 212 | 98.21 207 | 99.03 195 | 99.75 94 |
|
| alignmvs | | | 98.81 155 | 98.56 171 | 99.58 102 | 99.43 213 | 99.42 106 | 99.51 168 | 98.96 343 | 98.61 95 | 99.35 181 | 98.92 368 | 94.78 226 | 99.77 212 | 99.35 60 | 98.11 257 | 99.54 173 |
|
| tpm cat1 | | | 97.39 315 | 97.36 294 | 97.50 358 | 99.17 292 | 93.73 393 | 99.43 215 | 99.31 286 | 91.27 406 | 98.71 298 | 99.08 346 | 94.31 255 | 99.77 212 | 96.41 336 | 98.50 230 | 99.00 262 |
|
| CostFormer | | | 97.72 282 | 97.73 247 | 97.71 349 | 99.15 298 | 94.02 390 | 99.54 149 | 99.02 336 | 94.67 381 | 99.04 250 | 99.35 304 | 92.35 314 | 99.77 212 | 98.50 181 | 97.94 262 | 99.34 227 |
|
| MGCFI-Net | | | 99.01 130 | 98.85 133 | 99.50 130 | 99.42 215 | 99.26 128 | 99.82 16 | 99.48 167 | 98.60 96 | 99.28 194 | 98.81 373 | 97.04 138 | 99.76 216 | 99.29 72 | 97.87 266 | 99.47 200 |
|
| test_241102_ONE | | | | | | 99.84 32 | 99.90 2 | | 99.48 167 | 99.07 44 | 99.91 22 | 99.74 152 | 99.20 7 | 99.76 216 | | | |
|
| MDTV_nov1_ep13 | | | | 98.32 185 | | 99.11 302 | 94.44 384 | 99.27 281 | 98.74 376 | 97.51 235 | 99.40 169 | 99.62 214 | 94.78 226 | 99.76 216 | 97.59 264 | 98.81 213 | |
|
| sasdasda | | | 99.02 126 | 98.86 131 | 99.51 125 | 99.42 215 | 99.32 116 | 99.80 25 | 99.48 167 | 98.63 92 | 99.31 187 | 98.81 373 | 97.09 134 | 99.75 219 | 99.27 75 | 97.90 263 | 99.47 200 |
|
| canonicalmvs | | | 99.02 126 | 98.86 131 | 99.51 125 | 99.42 215 | 99.32 116 | 99.80 25 | 99.48 167 | 98.63 92 | 99.31 187 | 98.81 373 | 97.09 134 | 99.75 219 | 99.27 75 | 97.90 263 | 99.47 200 |
|
| Effi-MVS+-dtu | | | 98.78 159 | 98.89 126 | 98.47 281 | 99.33 242 | 96.91 315 | 99.57 124 | 99.30 290 | 98.47 107 | 99.41 164 | 98.99 358 | 96.78 146 | 99.74 221 | 98.73 145 | 99.38 163 | 98.74 289 |
|
| patchmatchnet-post | | | | | | | | | | | | 98.70 379 | 94.79 225 | 99.74 221 | | | |
|
| SCA | | | 98.19 203 | 98.16 193 | 98.27 307 | 99.30 251 | 95.55 358 | 99.07 328 | 98.97 341 | 97.57 225 | 99.43 157 | 99.57 232 | 92.72 297 | 99.74 221 | 97.58 265 | 99.20 178 | 99.52 180 |
|
| BH-untuned | | | 98.42 182 | 98.36 181 | 98.59 261 | 99.49 195 | 96.70 323 | 99.27 281 | 99.13 321 | 97.24 263 | 98.80 289 | 99.38 295 | 95.75 187 | 99.74 221 | 97.07 305 | 99.16 180 | 99.33 228 |
|
| BH-RMVSNet | | | 98.41 184 | 98.08 205 | 99.40 144 | 99.41 220 | 98.83 191 | 99.30 266 | 98.77 372 | 97.70 211 | 98.94 267 | 99.65 197 | 92.91 292 | 99.74 221 | 96.52 331 | 99.55 153 | 99.64 145 |
|
| MVS_111021_HR | | | 99.41 52 | 99.32 47 | 99.66 78 | 99.72 99 | 99.47 101 | 98.95 359 | 99.85 6 | 98.82 74 | 99.54 135 | 99.73 158 | 98.51 81 | 99.74 221 | 98.91 115 | 99.88 61 | 99.77 88 |
|
| test_post | | | | | | | | | | | | 65.99 431 | 94.65 239 | 99.73 227 | | | |
|
| XVG-ACMP-BASELINE | | | 97.83 261 | 97.71 249 | 98.20 310 | 99.11 302 | 96.33 339 | 99.41 225 | 99.52 111 | 98.06 168 | 99.05 249 | 99.50 258 | 89.64 358 | 99.73 227 | 97.73 253 | 97.38 301 | 98.53 352 |
|
| HyFIR lowres test | | | 99.11 111 | 98.92 120 | 99.65 82 | 99.90 4 | 99.37 110 | 99.02 341 | 99.91 3 | 97.67 215 | 99.59 125 | 99.75 147 | 95.90 182 | 99.73 227 | 99.53 42 | 99.02 197 | 99.86 35 |
|
| DeepMVS_CX |  | | | | 93.34 392 | 99.29 255 | 82.27 421 | | 99.22 308 | 85.15 418 | 96.33 389 | 99.05 350 | 90.97 342 | 99.73 227 | 93.57 384 | 97.77 271 | 98.01 390 |
|
| Patchmatch-test | | | 97.93 241 | 97.65 255 | 98.77 247 | 99.18 284 | 97.07 300 | 99.03 338 | 99.14 320 | 96.16 348 | 98.74 295 | 99.57 232 | 94.56 243 | 99.72 231 | 93.36 386 | 99.11 186 | 99.52 180 |
|
| LPG-MVS_test | | | 98.22 199 | 98.13 198 | 98.49 274 | 99.33 242 | 97.05 302 | 99.58 117 | 99.55 84 | 97.46 238 | 99.24 206 | 99.83 77 | 92.58 304 | 99.72 231 | 98.09 216 | 97.51 287 | 98.68 307 |
|
| LGP-MVS_train | | | | | 98.49 274 | 99.33 242 | 97.05 302 | | 99.55 84 | 97.46 238 | 99.24 206 | 99.83 77 | 92.58 304 | 99.72 231 | 98.09 216 | 97.51 287 | 98.68 307 |
|
| BH-w/o | | | 98.00 233 | 97.89 229 | 98.32 299 | 99.35 237 | 96.20 345 | 99.01 346 | 98.90 355 | 96.42 331 | 98.38 333 | 99.00 356 | 95.26 205 | 99.72 231 | 96.06 340 | 98.61 220 | 99.03 259 |
|
| ACMP | | 97.20 11 | 98.06 218 | 97.94 222 | 98.45 284 | 99.37 233 | 97.01 307 | 99.44 210 | 99.49 155 | 97.54 231 | 98.45 330 | 99.79 125 | 91.95 320 | 99.72 231 | 97.91 232 | 97.49 292 | 98.62 335 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| LTVRE_ROB | | 97.16 12 | 98.02 228 | 97.90 225 | 98.40 292 | 99.23 271 | 96.80 321 | 99.70 56 | 99.60 56 | 97.12 273 | 98.18 347 | 99.70 167 | 91.73 326 | 99.72 231 | 98.39 191 | 97.45 294 | 98.68 307 |
| 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 |
| test_post1 | | | | | | | | 99.23 297 | | | | 65.14 432 | 94.18 260 | 99.71 237 | 97.58 265 | | |
|
| ADS-MVSNet | | | 98.20 202 | 98.08 205 | 98.56 268 | 99.33 242 | 96.48 334 | 99.23 297 | 99.15 318 | 96.24 341 | 99.10 236 | 99.67 190 | 94.11 261 | 99.71 237 | 96.81 319 | 99.05 193 | 99.48 194 |
|
| JIA-IIPM | | | 97.50 306 | 97.02 322 | 98.93 213 | 98.73 364 | 97.80 265 | 99.30 266 | 98.97 341 | 91.73 405 | 98.91 270 | 94.86 420 | 95.10 211 | 99.71 237 | 97.58 265 | 97.98 260 | 99.28 232 |
|
| EPMVS | | | 97.82 264 | 97.65 255 | 98.35 296 | 98.88 340 | 95.98 349 | 99.49 186 | 94.71 427 | 97.57 225 | 99.26 204 | 99.48 267 | 92.46 311 | 99.71 237 | 97.87 236 | 99.08 191 | 99.35 224 |
|
| TDRefinement | | | 95.42 360 | 94.57 367 | 97.97 328 | 89.83 430 | 96.11 348 | 99.48 191 | 98.75 373 | 96.74 302 | 96.68 386 | 99.88 43 | 88.65 370 | 99.71 237 | 98.37 194 | 82.74 419 | 98.09 385 |
|
| ACMM | | 97.58 5 | 98.37 190 | 98.34 183 | 98.48 276 | 99.41 220 | 97.10 296 | 99.56 130 | 99.45 208 | 98.53 102 | 99.04 250 | 99.85 62 | 93.00 288 | 99.71 237 | 98.74 143 | 97.45 294 | 98.64 326 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| tt0805 | | | 97.97 238 | 97.77 240 | 98.57 265 | 99.59 157 | 96.61 330 | 99.45 204 | 99.08 326 | 98.21 141 | 98.88 275 | 99.80 113 | 88.66 369 | 99.70 243 | 98.58 169 | 97.72 272 | 99.39 218 |
|
| CHOSEN 280x420 | | | 99.12 106 | 99.13 82 | 99.08 191 | 99.66 129 | 97.89 260 | 98.43 402 | 99.71 13 | 98.88 68 | 99.62 116 | 99.76 144 | 96.63 152 | 99.70 243 | 99.46 54 | 99.99 1 | 99.66 134 |
|
| EC-MVSNet | | | 99.44 43 | 99.39 33 | 99.58 102 | 99.56 165 | 99.49 97 | 99.88 4 | 99.58 66 | 98.38 117 | 99.73 75 | 99.69 177 | 98.20 99 | 99.70 243 | 99.64 32 | 99.82 100 | 99.54 173 |
|
| PatchmatchNet |  | | 98.31 193 | 98.36 181 | 98.19 311 | 99.16 294 | 95.32 368 | 99.27 281 | 98.92 348 | 97.37 251 | 99.37 175 | 99.58 227 | 94.90 219 | 99.70 243 | 97.43 283 | 99.21 177 | 99.54 173 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| ACMH | | 97.28 8 | 98.10 213 | 97.99 215 | 98.44 287 | 99.41 220 | 96.96 313 | 99.60 102 | 99.56 76 | 98.09 159 | 98.15 348 | 99.91 23 | 90.87 343 | 99.70 243 | 98.88 118 | 97.45 294 | 98.67 314 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| ETVMVS | | | 97.50 306 | 96.90 326 | 99.29 167 | 99.23 271 | 98.78 197 | 99.32 261 | 98.90 355 | 97.52 234 | 98.56 323 | 98.09 404 | 84.72 402 | 99.69 248 | 97.86 237 | 97.88 265 | 99.39 218 |
|
| HQP_MVS | | | 98.27 198 | 98.22 191 | 98.44 287 | 99.29 255 | 96.97 311 | 99.39 237 | 99.47 188 | 98.97 60 | 99.11 233 | 99.61 218 | 92.71 299 | 99.69 248 | 97.78 245 | 97.63 275 | 98.67 314 |
|
| plane_prior5 | | | | | | | | | 99.47 188 | | | | | 99.69 248 | 97.78 245 | 97.63 275 | 98.67 314 |
|
| D2MVS | | | 98.41 184 | 98.50 174 | 98.15 316 | 99.26 263 | 96.62 329 | 99.40 233 | 99.61 50 | 97.71 208 | 98.98 260 | 99.36 301 | 96.04 173 | 99.67 251 | 98.70 148 | 97.41 299 | 98.15 382 |
|
| IS-MVSNet | | | 99.05 122 | 98.87 129 | 99.57 104 | 99.73 95 | 99.32 116 | 99.75 42 | 99.20 312 | 98.02 175 | 99.56 130 | 99.86 56 | 96.54 156 | 99.67 251 | 98.09 216 | 99.13 185 | 99.73 103 |
|
| CLD-MVS | | | 98.16 207 | 98.10 201 | 98.33 297 | 99.29 255 | 96.82 320 | 98.75 380 | 99.44 216 | 97.83 194 | 99.13 229 | 99.55 238 | 92.92 290 | 99.67 251 | 98.32 201 | 97.69 273 | 98.48 356 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| test_fmvs2 | | | 97.25 323 | 97.30 305 | 97.09 368 | 99.43 213 | 93.31 399 | 99.73 50 | 98.87 360 | 98.83 73 | 99.28 194 | 99.80 113 | 84.45 403 | 99.66 254 | 97.88 234 | 97.45 294 | 98.30 372 |
|
| AUN-MVS | | | 96.88 334 | 96.31 340 | 98.59 261 | 99.48 202 | 97.04 305 | 99.27 281 | 99.22 308 | 97.44 244 | 98.51 326 | 99.41 285 | 91.97 319 | 99.66 254 | 97.71 256 | 83.83 417 | 99.07 256 |
|
| UniMVSNet_ETH3D | | | 97.32 320 | 96.81 328 | 98.87 230 | 99.40 225 | 97.46 280 | 99.51 168 | 99.53 106 | 95.86 361 | 98.54 325 | 99.77 140 | 82.44 411 | 99.66 254 | 98.68 153 | 97.52 286 | 99.50 192 |
|
| OPM-MVS | | | 98.19 203 | 98.10 201 | 98.45 284 | 98.88 340 | 97.07 300 | 99.28 276 | 99.38 244 | 98.57 98 | 99.22 211 | 99.81 100 | 92.12 316 | 99.66 254 | 98.08 220 | 97.54 284 | 98.61 344 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| ACMH+ | | 97.24 10 | 97.92 244 | 97.78 238 | 98.32 299 | 99.46 205 | 96.68 327 | 99.56 130 | 99.54 93 | 98.41 115 | 97.79 364 | 99.87 52 | 90.18 352 | 99.66 254 | 98.05 224 | 97.18 308 | 98.62 335 |
|
| hse-mvs2 | | | 97.50 306 | 97.14 316 | 98.59 261 | 99.49 195 | 97.05 302 | 99.28 276 | 99.22 308 | 98.94 63 | 99.66 97 | 99.42 281 | 94.93 216 | 99.65 259 | 99.48 51 | 83.80 418 | 99.08 251 |
|
| VPA-MVSNet | | | 98.29 196 | 97.95 220 | 99.30 164 | 99.16 294 | 99.54 87 | 99.50 175 | 99.58 66 | 98.27 131 | 99.35 181 | 99.37 298 | 92.53 306 | 99.65 259 | 99.35 60 | 94.46 367 | 98.72 291 |
|
| TR-MVS | | | 97.76 272 | 97.41 290 | 98.82 239 | 99.06 314 | 97.87 261 | 98.87 369 | 98.56 390 | 96.63 313 | 98.68 306 | 99.22 332 | 92.49 307 | 99.65 259 | 95.40 358 | 97.79 270 | 98.95 270 |
|
| reproduce_monomvs | | | 97.89 248 | 97.87 230 | 97.96 330 | 99.51 182 | 95.45 363 | 99.60 102 | 99.25 302 | 99.17 24 | 98.85 283 | 99.49 261 | 89.29 361 | 99.64 262 | 99.35 60 | 96.31 324 | 98.78 277 |
|
| gm-plane-assit | | | | | | 98.54 384 | 92.96 401 | | | 94.65 382 | | 99.15 340 | | 99.64 262 | 97.56 270 | | |
|
| HQP4-MVS | | | | | | | | | | | 98.66 307 | | | 99.64 262 | | | 98.64 326 |
|
| HQP-MVS | | | 98.02 228 | 97.90 225 | 98.37 295 | 99.19 281 | 96.83 318 | 98.98 352 | 99.39 236 | 98.24 135 | 98.66 307 | 99.40 289 | 92.47 308 | 99.64 262 | 97.19 298 | 97.58 280 | 98.64 326 |
|
| PAPM | | | 97.59 299 | 97.09 320 | 99.07 192 | 99.06 314 | 98.26 238 | 98.30 409 | 99.10 323 | 94.88 376 | 98.08 350 | 99.34 308 | 96.27 167 | 99.64 262 | 89.87 406 | 98.92 203 | 99.31 230 |
|
| TAPA-MVS | | 97.07 15 | 97.74 278 | 97.34 299 | 98.94 211 | 99.70 109 | 97.53 277 | 99.25 292 | 99.51 125 | 91.90 404 | 99.30 190 | 99.63 209 | 98.78 51 | 99.64 262 | 88.09 413 | 99.87 64 | 99.65 138 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| XXY-MVS | | | 98.38 188 | 98.09 204 | 99.24 176 | 99.26 263 | 99.32 116 | 99.56 130 | 99.55 84 | 97.45 241 | 98.71 298 | 99.83 77 | 93.23 283 | 99.63 268 | 98.88 118 | 96.32 323 | 98.76 283 |
|
| ITE_SJBPF | | | | | 98.08 319 | 99.29 255 | 96.37 337 | | 98.92 348 | 98.34 123 | 98.83 284 | 99.75 147 | 91.09 340 | 99.62 269 | 95.82 345 | 97.40 300 | 98.25 376 |
|
| LF4IMVS | | | 97.52 303 | 97.46 278 | 97.70 350 | 98.98 329 | 95.55 358 | 99.29 271 | 98.82 365 | 98.07 164 | 98.66 307 | 99.64 203 | 89.97 353 | 99.61 270 | 97.01 306 | 96.68 313 | 97.94 397 |
|
| tpm | | | 97.67 293 | 97.55 264 | 98.03 321 | 99.02 320 | 95.01 374 | 99.43 215 | 98.54 392 | 96.44 329 | 99.12 231 | 99.34 308 | 91.83 323 | 99.60 271 | 97.75 251 | 96.46 319 | 99.48 194 |
|
| tpm2 | | | 97.44 313 | 97.34 299 | 97.74 348 | 99.15 298 | 94.36 387 | 99.45 204 | 98.94 344 | 93.45 395 | 98.90 272 | 99.44 277 | 91.35 336 | 99.59 272 | 97.31 289 | 98.07 258 | 99.29 231 |
|
| baseline2 | | | 97.87 251 | 97.55 264 | 98.82 239 | 99.18 284 | 98.02 250 | 99.41 225 | 96.58 421 | 96.97 288 | 96.51 387 | 99.17 337 | 93.43 280 | 99.57 273 | 97.71 256 | 99.03 195 | 98.86 272 |
|
| MS-PatchMatch | | | 97.24 325 | 97.32 303 | 96.99 369 | 98.45 387 | 93.51 398 | 98.82 373 | 99.32 282 | 97.41 248 | 98.13 349 | 99.30 319 | 88.99 363 | 99.56 274 | 95.68 351 | 99.80 107 | 97.90 400 |
|
| TinyColmap | | | 97.12 328 | 96.89 327 | 97.83 341 | 99.07 312 | 95.52 361 | 98.57 395 | 98.74 376 | 97.58 224 | 97.81 363 | 99.79 125 | 88.16 377 | 99.56 274 | 95.10 363 | 97.21 306 | 98.39 368 |
|
| USDC | | | 97.34 318 | 97.20 313 | 97.75 346 | 99.07 312 | 95.20 370 | 98.51 399 | 99.04 333 | 97.99 176 | 98.31 337 | 99.86 56 | 89.02 362 | 99.55 276 | 95.67 352 | 97.36 302 | 98.49 355 |
|
| MSLP-MVS++ | | | 99.46 35 | 99.47 21 | 99.44 141 | 99.60 155 | 99.16 139 | 99.41 225 | 99.71 13 | 98.98 57 | 99.45 150 | 99.78 132 | 99.19 9 | 99.54 277 | 99.28 73 | 99.84 87 | 99.63 150 |
|
| UWE-MVS-28 | | | 97.36 316 | 97.24 312 | 97.75 346 | 98.84 349 | 94.44 384 | 99.24 294 | 97.58 410 | 97.98 177 | 99.00 257 | 99.00 356 | 91.35 336 | 99.53 278 | 93.75 381 | 98.39 234 | 99.27 236 |
|
| TAMVS | | | 99.12 106 | 99.08 90 | 99.24 176 | 99.46 205 | 98.55 215 | 99.51 168 | 99.46 197 | 98.09 159 | 99.45 150 | 99.82 86 | 98.34 93 | 99.51 279 | 98.70 148 | 98.93 201 | 99.67 131 |
|
| EPNet_dtu | | | 98.03 226 | 97.96 218 | 98.23 309 | 98.27 390 | 95.54 360 | 99.23 297 | 98.75 373 | 99.02 47 | 97.82 362 | 99.71 163 | 96.11 171 | 99.48 280 | 93.04 390 | 99.65 142 | 99.69 124 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| mvs5depth | | | 96.66 338 | 96.22 342 | 97.97 328 | 97.00 412 | 96.28 341 | 98.66 389 | 99.03 335 | 96.61 314 | 96.93 384 | 99.79 125 | 87.20 386 | 99.47 281 | 96.65 329 | 94.13 374 | 98.16 381 |
|
| EG-PatchMatch MVS | | | 95.97 353 | 95.69 354 | 96.81 376 | 97.78 397 | 92.79 402 | 99.16 309 | 98.93 345 | 96.16 348 | 94.08 405 | 99.22 332 | 82.72 409 | 99.47 281 | 95.67 352 | 97.50 289 | 98.17 380 |
|
| myMVS_eth3d28 | | | 97.69 287 | 97.34 299 | 98.73 249 | 99.27 260 | 97.52 278 | 99.33 259 | 98.78 371 | 98.03 173 | 98.82 286 | 98.49 386 | 86.64 388 | 99.46 283 | 98.44 188 | 98.24 246 | 99.23 239 |
|
| MVP-Stereo | | | 97.81 266 | 97.75 245 | 97.99 327 | 97.53 401 | 96.60 331 | 98.96 356 | 98.85 362 | 97.22 265 | 97.23 375 | 99.36 301 | 95.28 202 | 99.46 283 | 95.51 354 | 99.78 116 | 97.92 399 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| CVMVSNet | | | 98.57 175 | 98.67 152 | 98.30 301 | 99.35 237 | 95.59 357 | 99.50 175 | 99.55 84 | 98.60 96 | 99.39 171 | 99.83 77 | 94.48 248 | 99.45 285 | 98.75 142 | 98.56 226 | 99.85 39 |
|
| test-LLR | | | 98.06 218 | 97.90 225 | 98.55 270 | 98.79 352 | 97.10 296 | 98.67 386 | 97.75 406 | 97.34 253 | 98.61 319 | 98.85 370 | 94.45 250 | 99.45 285 | 97.25 292 | 99.38 163 | 99.10 246 |
|
| TESTMET0.1,1 | | | 97.55 301 | 97.27 311 | 98.40 292 | 98.93 334 | 96.53 332 | 98.67 386 | 97.61 409 | 96.96 289 | 98.64 314 | 99.28 323 | 88.63 372 | 99.45 285 | 97.30 290 | 99.38 163 | 99.21 241 |
|
| test-mter | | | 97.49 311 | 97.13 318 | 98.55 270 | 98.79 352 | 97.10 296 | 98.67 386 | 97.75 406 | 96.65 309 | 98.61 319 | 98.85 370 | 88.23 376 | 99.45 285 | 97.25 292 | 99.38 163 | 99.10 246 |
|
| mvs_anonymous | | | 99.03 125 | 98.99 107 | 99.16 184 | 99.38 230 | 98.52 221 | 99.51 168 | 99.38 244 | 97.79 199 | 99.38 173 | 99.81 100 | 97.30 127 | 99.45 285 | 99.35 60 | 98.99 198 | 99.51 188 |
|
| tfpnnormal | | | 97.84 258 | 97.47 276 | 98.98 204 | 99.20 278 | 99.22 133 | 99.64 84 | 99.61 50 | 96.32 335 | 98.27 341 | 99.70 167 | 93.35 282 | 99.44 290 | 95.69 350 | 95.40 350 | 98.27 374 |
|
| v7n | | | 97.87 251 | 97.52 268 | 98.92 215 | 98.76 362 | 98.58 213 | 99.84 12 | 99.46 197 | 96.20 344 | 98.91 270 | 99.70 167 | 94.89 220 | 99.44 290 | 96.03 341 | 93.89 379 | 98.75 285 |
|
| jajsoiax | | | 98.43 181 | 98.28 188 | 98.88 226 | 98.60 379 | 98.43 231 | 99.82 16 | 99.53 106 | 98.19 143 | 98.63 316 | 99.80 113 | 93.22 285 | 99.44 290 | 99.22 79 | 97.50 289 | 98.77 281 |
|
| mvs_tets | | | 98.40 187 | 98.23 190 | 98.91 219 | 98.67 372 | 98.51 223 | 99.66 75 | 99.53 106 | 98.19 143 | 98.65 313 | 99.81 100 | 92.75 294 | 99.44 290 | 99.31 69 | 97.48 293 | 98.77 281 |
|
| Vis-MVSNet (Re-imp) | | | 98.87 141 | 98.72 146 | 99.31 159 | 99.71 104 | 98.88 182 | 99.80 25 | 99.44 216 | 97.91 183 | 99.36 178 | 99.78 132 | 95.49 196 | 99.43 294 | 97.91 232 | 99.11 186 | 99.62 152 |
|
| OPU-MVS | | | | | 99.64 88 | 99.56 165 | 99.72 48 | 99.60 102 | | | | 99.70 167 | 99.27 5 | 99.42 295 | 98.24 206 | 99.80 107 | 99.79 80 |
|
| Anonymous20231211 | | | 97.88 249 | 97.54 267 | 98.90 221 | 99.71 104 | 98.53 217 | 99.48 191 | 99.57 71 | 94.16 386 | 98.81 287 | 99.68 184 | 93.23 283 | 99.42 295 | 98.84 131 | 94.42 369 | 98.76 283 |
|
| ttmdpeth | | | 97.80 268 | 97.63 259 | 98.29 302 | 98.77 360 | 97.38 283 | 99.64 84 | 99.36 253 | 98.78 82 | 96.30 390 | 99.58 227 | 92.34 315 | 99.39 297 | 98.36 196 | 95.58 345 | 98.10 384 |
|
| VPNet | | | 97.84 258 | 97.44 284 | 99.01 200 | 99.21 276 | 98.94 176 | 99.48 191 | 99.57 71 | 98.38 117 | 99.28 194 | 99.73 158 | 88.89 364 | 99.39 297 | 99.19 81 | 93.27 386 | 98.71 293 |
|
| nrg030 | | | 98.64 172 | 98.42 178 | 99.28 171 | 99.05 317 | 99.69 54 | 99.81 20 | 99.46 197 | 98.04 171 | 99.01 253 | 99.82 86 | 96.69 150 | 99.38 299 | 99.34 65 | 94.59 366 | 98.78 277 |
|
| GA-MVS | | | 97.85 254 | 97.47 276 | 99.00 202 | 99.38 230 | 97.99 252 | 98.57 395 | 99.15 318 | 97.04 284 | 98.90 272 | 99.30 319 | 89.83 355 | 99.38 299 | 96.70 324 | 98.33 238 | 99.62 152 |
|
| UniMVSNet (Re) | | | 98.29 196 | 98.00 214 | 99.13 189 | 99.00 323 | 99.36 113 | 99.49 186 | 99.51 125 | 97.95 179 | 98.97 262 | 99.13 342 | 96.30 166 | 99.38 299 | 98.36 196 | 93.34 384 | 98.66 322 |
|
| FIs | | | 98.78 159 | 98.63 157 | 99.23 178 | 99.18 284 | 99.54 87 | 99.83 15 | 99.59 62 | 98.28 129 | 98.79 291 | 99.81 100 | 96.75 148 | 99.37 302 | 99.08 94 | 96.38 321 | 98.78 277 |
|
| PS-MVSNAJss | | | 98.92 137 | 98.92 120 | 98.90 221 | 98.78 355 | 98.53 217 | 99.78 32 | 99.54 93 | 98.07 164 | 99.00 257 | 99.76 144 | 99.01 18 | 99.37 302 | 99.13 87 | 97.23 305 | 98.81 275 |
|
| CDS-MVSNet | | | 99.09 116 | 99.03 97 | 99.25 174 | 99.42 215 | 98.73 199 | 99.45 204 | 99.46 197 | 98.11 156 | 99.46 149 | 99.77 140 | 98.01 108 | 99.37 302 | 98.70 148 | 98.92 203 | 99.66 134 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| MVS-HIRNet | | | 95.75 357 | 95.16 362 | 97.51 357 | 99.30 251 | 93.69 395 | 98.88 367 | 95.78 422 | 85.09 419 | 98.78 292 | 92.65 422 | 91.29 338 | 99.37 302 | 94.85 368 | 99.85 79 | 99.46 205 |
|
| v1192 | | | 97.81 266 | 97.44 284 | 98.91 219 | 98.88 340 | 98.68 202 | 99.51 168 | 99.34 265 | 96.18 346 | 99.20 217 | 99.34 308 | 94.03 265 | 99.36 306 | 95.32 360 | 95.18 354 | 98.69 302 |
|
| EI-MVSNet | | | 98.67 169 | 98.67 152 | 98.68 256 | 99.35 237 | 97.97 253 | 99.50 175 | 99.38 244 | 96.93 294 | 99.20 217 | 99.83 77 | 97.87 110 | 99.36 306 | 98.38 192 | 97.56 282 | 98.71 293 |
|
| MVSTER | | | 98.49 176 | 98.32 185 | 99.00 202 | 99.35 237 | 99.02 159 | 99.54 149 | 99.38 244 | 97.41 248 | 99.20 217 | 99.73 158 | 93.86 273 | 99.36 306 | 98.87 121 | 97.56 282 | 98.62 335 |
|
| gg-mvs-nofinetune | | | 96.17 349 | 95.32 361 | 98.73 249 | 98.79 352 | 98.14 244 | 99.38 242 | 94.09 428 | 91.07 409 | 98.07 353 | 91.04 426 | 89.62 359 | 99.35 309 | 96.75 321 | 99.09 190 | 98.68 307 |
|
| pm-mvs1 | | | 97.68 290 | 97.28 308 | 98.88 226 | 99.06 314 | 98.62 209 | 99.50 175 | 99.45 208 | 96.32 335 | 97.87 360 | 99.79 125 | 92.47 308 | 99.35 309 | 97.54 272 | 93.54 383 | 98.67 314 |
|
| OurMVSNet-221017-0 | | | 97.88 249 | 97.77 240 | 98.19 311 | 98.71 368 | 96.53 332 | 99.88 4 | 99.00 338 | 97.79 199 | 98.78 292 | 99.94 6 | 91.68 327 | 99.35 309 | 97.21 294 | 96.99 312 | 98.69 302 |
|
| EGC-MVSNET | | | 82.80 391 | 77.86 397 | 97.62 353 | 97.91 394 | 96.12 347 | 99.33 259 | 99.28 296 | 8.40 434 | 25.05 435 | 99.27 326 | 84.11 404 | 99.33 312 | 89.20 408 | 98.22 247 | 97.42 408 |
|
| pmmvs6 | | | 96.53 341 | 96.09 346 | 97.82 343 | 98.69 370 | 95.47 362 | 99.37 244 | 99.47 188 | 93.46 394 | 97.41 369 | 99.78 132 | 87.06 387 | 99.33 312 | 96.92 316 | 92.70 393 | 98.65 324 |
|
| V42 | | | 98.06 218 | 97.79 235 | 98.86 233 | 98.98 329 | 98.84 188 | 99.69 60 | 99.34 265 | 96.53 321 | 99.30 190 | 99.37 298 | 94.67 237 | 99.32 314 | 97.57 269 | 94.66 364 | 98.42 364 |
|
| lessismore_v0 | | | | | 97.79 345 | 98.69 370 | 95.44 365 | | 94.75 426 | | 95.71 396 | 99.87 52 | 88.69 368 | 99.32 314 | 95.89 344 | 94.93 361 | 98.62 335 |
|
| OpenMVS_ROB |  | 92.34 20 | 94.38 371 | 93.70 377 | 96.41 381 | 97.38 403 | 93.17 400 | 99.06 331 | 98.75 373 | 86.58 417 | 94.84 403 | 98.26 396 | 81.53 414 | 99.32 314 | 89.01 409 | 97.87 266 | 96.76 411 |
|
| v8 | | | 97.95 240 | 97.63 259 | 98.93 213 | 98.95 333 | 98.81 194 | 99.80 25 | 99.41 227 | 96.03 358 | 99.10 236 | 99.42 281 | 94.92 218 | 99.30 317 | 96.94 313 | 94.08 376 | 98.66 322 |
|
| v1921920 | | | 97.80 268 | 97.45 279 | 98.84 237 | 98.80 351 | 98.53 217 | 99.52 159 | 99.34 265 | 96.15 350 | 99.24 206 | 99.47 270 | 93.98 267 | 99.29 318 | 95.40 358 | 95.13 356 | 98.69 302 |
|
| anonymousdsp | | | 98.44 180 | 98.28 188 | 98.94 211 | 98.50 385 | 98.96 170 | 99.77 34 | 99.50 145 | 97.07 279 | 98.87 278 | 99.77 140 | 94.76 230 | 99.28 319 | 98.66 155 | 97.60 278 | 98.57 350 |
|
| MVSFormer | | | 99.17 91 | 99.12 84 | 99.29 167 | 99.51 182 | 98.94 176 | 99.88 4 | 99.46 197 | 97.55 228 | 99.80 52 | 99.65 197 | 97.39 121 | 99.28 319 | 99.03 99 | 99.85 79 | 99.65 138 |
|
| test_djsdf | | | 98.67 169 | 98.57 169 | 98.98 204 | 98.70 369 | 98.91 180 | 99.88 4 | 99.46 197 | 97.55 228 | 99.22 211 | 99.88 43 | 95.73 188 | 99.28 319 | 99.03 99 | 97.62 277 | 98.75 285 |
|
| SSC-MVS3.2 | | | 97.34 318 | 97.15 315 | 97.93 332 | 99.02 320 | 95.76 354 | 99.48 191 | 99.58 66 | 97.62 220 | 99.09 239 | 99.53 247 | 87.95 379 | 99.27 322 | 96.42 334 | 95.66 343 | 98.75 285 |
|
| cascas | | | 97.69 287 | 97.43 288 | 98.48 276 | 98.60 379 | 97.30 285 | 98.18 413 | 99.39 236 | 92.96 398 | 98.41 331 | 98.78 377 | 93.77 276 | 99.27 322 | 98.16 213 | 98.61 220 | 98.86 272 |
|
| v144192 | | | 97.92 244 | 97.60 262 | 98.87 230 | 98.83 350 | 98.65 205 | 99.55 144 | 99.34 265 | 96.20 344 | 99.32 186 | 99.40 289 | 94.36 252 | 99.26 324 | 96.37 337 | 95.03 358 | 98.70 298 |
|
| dmvs_re | | | 98.08 216 | 98.16 193 | 97.85 338 | 99.55 169 | 94.67 381 | 99.70 56 | 98.92 348 | 98.15 148 | 99.06 247 | 99.35 304 | 93.67 279 | 99.25 325 | 97.77 248 | 97.25 304 | 99.64 145 |
|
| v2v482 | | | 98.06 218 | 97.77 240 | 98.92 215 | 98.90 338 | 98.82 192 | 99.57 124 | 99.36 253 | 96.65 309 | 99.19 220 | 99.35 304 | 94.20 257 | 99.25 325 | 97.72 255 | 94.97 359 | 98.69 302 |
|
| v1240 | | | 97.69 287 | 97.32 303 | 98.79 245 | 98.85 347 | 98.43 231 | 99.48 191 | 99.36 253 | 96.11 353 | 99.27 199 | 99.36 301 | 93.76 277 | 99.24 327 | 94.46 372 | 95.23 353 | 98.70 298 |
|
| WBMVS | | | 97.74 278 | 97.50 271 | 98.46 282 | 99.24 269 | 97.43 281 | 99.21 303 | 99.42 224 | 97.45 241 | 98.96 264 | 99.41 285 | 88.83 365 | 99.23 328 | 98.94 109 | 96.02 329 | 98.71 293 |
|
| v1144 | | | 97.98 235 | 97.69 251 | 98.85 236 | 98.87 343 | 98.66 204 | 99.54 149 | 99.35 260 | 96.27 339 | 99.23 210 | 99.35 304 | 94.67 237 | 99.23 328 | 96.73 322 | 95.16 355 | 98.68 307 |
|
| v10 | | | 97.85 254 | 97.52 268 | 98.86 233 | 98.99 326 | 98.67 203 | 99.75 42 | 99.41 227 | 95.70 362 | 98.98 260 | 99.41 285 | 94.75 231 | 99.23 328 | 96.01 343 | 94.63 365 | 98.67 314 |
|
| WR-MVS_H | | | 98.13 210 | 97.87 230 | 98.90 221 | 99.02 320 | 98.84 188 | 99.70 56 | 99.59 62 | 97.27 259 | 98.40 332 | 99.19 336 | 95.53 194 | 99.23 328 | 98.34 198 | 93.78 381 | 98.61 344 |
|
| miper_enhance_ethall | | | 98.16 207 | 98.08 205 | 98.41 290 | 98.96 332 | 97.72 269 | 98.45 401 | 99.32 282 | 96.95 291 | 98.97 262 | 99.17 337 | 97.06 137 | 99.22 332 | 97.86 237 | 95.99 332 | 98.29 373 |
|
| GG-mvs-BLEND | | | | | 98.45 284 | 98.55 383 | 98.16 242 | 99.43 215 | 93.68 429 | | 97.23 375 | 98.46 387 | 89.30 360 | 99.22 332 | 95.43 357 | 98.22 247 | 97.98 395 |
|
| FC-MVSNet-test | | | 98.75 162 | 98.62 162 | 99.15 188 | 99.08 311 | 99.45 103 | 99.86 11 | 99.60 56 | 98.23 138 | 98.70 304 | 99.82 86 | 96.80 145 | 99.22 332 | 99.07 95 | 96.38 321 | 98.79 276 |
|
| UniMVSNet_NR-MVSNet | | | 98.22 199 | 97.97 217 | 98.96 207 | 98.92 336 | 98.98 163 | 99.48 191 | 99.53 106 | 97.76 203 | 98.71 298 | 99.46 274 | 96.43 163 | 99.22 332 | 98.57 172 | 92.87 391 | 98.69 302 |
|
| DU-MVS | | | 98.08 216 | 97.79 235 | 98.96 207 | 98.87 343 | 98.98 163 | 99.41 225 | 99.45 208 | 97.87 187 | 98.71 298 | 99.50 258 | 94.82 222 | 99.22 332 | 98.57 172 | 92.87 391 | 98.68 307 |
|
| cl____ | | | 98.01 231 | 97.84 233 | 98.55 270 | 99.25 267 | 97.97 253 | 98.71 384 | 99.34 265 | 96.47 328 | 98.59 322 | 99.54 243 | 95.65 191 | 99.21 337 | 97.21 294 | 95.77 338 | 98.46 361 |
|
| WR-MVS | | | 98.06 218 | 97.73 247 | 99.06 194 | 98.86 346 | 99.25 130 | 99.19 305 | 99.35 260 | 97.30 257 | 98.66 307 | 99.43 279 | 93.94 268 | 99.21 337 | 98.58 169 | 94.28 371 | 98.71 293 |
|
| test_0402 | | | 96.64 339 | 96.24 341 | 97.85 338 | 98.85 347 | 96.43 336 | 99.44 210 | 99.26 300 | 93.52 392 | 96.98 382 | 99.52 251 | 88.52 373 | 99.20 339 | 92.58 397 | 97.50 289 | 97.93 398 |
|
| SixPastTwentyTwo | | | 97.50 306 | 97.33 302 | 98.03 321 | 98.65 373 | 96.23 344 | 99.77 34 | 98.68 385 | 97.14 270 | 97.90 358 | 99.93 10 | 90.45 346 | 99.18 340 | 97.00 307 | 96.43 320 | 98.67 314 |
|
| cl22 | | | 97.85 254 | 97.64 258 | 98.48 276 | 99.09 308 | 97.87 261 | 98.60 394 | 99.33 272 | 97.11 276 | 98.87 278 | 99.22 332 | 92.38 313 | 99.17 341 | 98.21 207 | 95.99 332 | 98.42 364 |
|
| WB-MVSnew | | | 97.65 295 | 97.65 255 | 97.63 352 | 98.78 355 | 97.62 275 | 99.13 315 | 98.33 395 | 97.36 252 | 99.07 242 | 98.94 364 | 95.64 192 | 99.15 342 | 92.95 391 | 98.68 218 | 96.12 418 |
|
| IterMVS-SCA-FT | | | 97.82 264 | 97.75 245 | 98.06 320 | 99.57 161 | 96.36 338 | 99.02 341 | 99.49 155 | 97.18 267 | 98.71 298 | 99.72 162 | 92.72 297 | 99.14 343 | 97.44 282 | 95.86 337 | 98.67 314 |
|
| pmmvs5 | | | 97.52 303 | 97.30 305 | 98.16 313 | 98.57 382 | 96.73 322 | 99.27 281 | 98.90 355 | 96.14 351 | 98.37 334 | 99.53 247 | 91.54 333 | 99.14 343 | 97.51 274 | 95.87 336 | 98.63 333 |
|
| v148 | | | 97.79 270 | 97.55 264 | 98.50 273 | 98.74 363 | 97.72 269 | 99.54 149 | 99.33 272 | 96.26 340 | 98.90 272 | 99.51 255 | 94.68 236 | 99.14 343 | 97.83 241 | 93.15 388 | 98.63 333 |
|
| miper_ehance_all_eth | | | 98.18 205 | 98.10 201 | 98.41 290 | 99.23 271 | 97.72 269 | 98.72 383 | 99.31 286 | 96.60 317 | 98.88 275 | 99.29 321 | 97.29 128 | 99.13 346 | 97.60 263 | 95.99 332 | 98.38 369 |
|
| NR-MVSNet | | | 97.97 238 | 97.61 261 | 99.02 199 | 98.87 343 | 99.26 128 | 99.47 199 | 99.42 224 | 97.63 218 | 97.08 380 | 99.50 258 | 95.07 212 | 99.13 346 | 97.86 237 | 93.59 382 | 98.68 307 |
|
| IterMVS | | | 97.83 261 | 97.77 240 | 98.02 323 | 99.58 159 | 96.27 342 | 99.02 341 | 99.48 167 | 97.22 265 | 98.71 298 | 99.70 167 | 92.75 294 | 99.13 346 | 97.46 280 | 96.00 331 | 98.67 314 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| CMPMVS |  | 69.68 23 | 94.13 372 | 94.90 364 | 91.84 397 | 97.24 407 | 80.01 427 | 98.52 398 | 99.48 167 | 89.01 414 | 91.99 414 | 99.67 190 | 85.67 394 | 99.13 346 | 95.44 356 | 97.03 311 | 96.39 415 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| eth_miper_zixun_eth | | | 98.05 223 | 97.96 218 | 98.33 297 | 99.26 263 | 97.38 283 | 98.56 397 | 99.31 286 | 96.65 309 | 98.88 275 | 99.52 251 | 96.58 154 | 99.12 350 | 97.39 285 | 95.53 348 | 98.47 358 |
|
| pmmvs4 | | | 98.13 210 | 97.90 225 | 98.81 242 | 98.61 378 | 98.87 183 | 98.99 349 | 99.21 311 | 96.44 329 | 99.06 247 | 99.58 227 | 95.90 182 | 99.11 351 | 97.18 300 | 96.11 328 | 98.46 361 |
|
| TransMVSNet (Re) | | | 97.15 327 | 96.58 333 | 98.86 233 | 99.12 300 | 98.85 187 | 99.49 186 | 98.91 353 | 95.48 365 | 97.16 378 | 99.80 113 | 93.38 281 | 99.11 351 | 94.16 378 | 91.73 397 | 98.62 335 |
|
| ambc | | | | | 93.06 395 | 92.68 426 | 82.36 420 | 98.47 400 | 98.73 382 | | 95.09 401 | 97.41 409 | 55.55 427 | 99.10 353 | 96.42 334 | 91.32 398 | 97.71 401 |
|
| Baseline_NR-MVSNet | | | 97.76 272 | 97.45 279 | 98.68 256 | 99.09 308 | 98.29 236 | 99.41 225 | 98.85 362 | 95.65 363 | 98.63 316 | 99.67 190 | 94.82 222 | 99.10 353 | 98.07 223 | 92.89 390 | 98.64 326 |
|
| test_vis3_rt | | | 87.04 387 | 85.81 390 | 90.73 401 | 93.99 425 | 81.96 422 | 99.76 37 | 90.23 436 | 92.81 400 | 81.35 424 | 91.56 424 | 40.06 433 | 99.07 355 | 94.27 375 | 88.23 411 | 91.15 424 |
|
| CP-MVSNet | | | 98.09 214 | 97.78 238 | 99.01 200 | 98.97 331 | 99.24 131 | 99.67 69 | 99.46 197 | 97.25 261 | 98.48 329 | 99.64 203 | 93.79 275 | 99.06 356 | 98.63 159 | 94.10 375 | 98.74 289 |
|
| PS-CasMVS | | | 97.93 241 | 97.59 263 | 98.95 209 | 98.99 326 | 99.06 155 | 99.68 66 | 99.52 111 | 97.13 271 | 98.31 337 | 99.68 184 | 92.44 312 | 99.05 357 | 98.51 180 | 94.08 376 | 98.75 285 |
|
| K. test v3 | | | 97.10 329 | 96.79 329 | 98.01 324 | 98.72 366 | 96.33 339 | 99.87 8 | 97.05 413 | 97.59 222 | 96.16 392 | 99.80 113 | 88.71 367 | 99.04 358 | 96.69 325 | 96.55 318 | 98.65 324 |
|
| new_pmnet | | | 96.38 345 | 96.03 347 | 97.41 359 | 98.13 393 | 95.16 373 | 99.05 333 | 99.20 312 | 93.94 387 | 97.39 372 | 98.79 376 | 91.61 332 | 99.04 358 | 90.43 404 | 95.77 338 | 98.05 388 |
|
| DIV-MVS_self_test | | | 98.01 231 | 97.85 232 | 98.48 276 | 99.24 269 | 97.95 257 | 98.71 384 | 99.35 260 | 96.50 322 | 98.60 321 | 99.54 243 | 95.72 189 | 99.03 360 | 97.21 294 | 95.77 338 | 98.46 361 |
|
| IterMVS-LS | | | 98.46 179 | 98.42 178 | 98.58 264 | 99.59 157 | 98.00 251 | 99.37 244 | 99.43 222 | 96.94 293 | 99.07 242 | 99.59 223 | 97.87 110 | 99.03 360 | 98.32 201 | 95.62 344 | 98.71 293 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| our_test_3 | | | 97.65 295 | 97.68 252 | 97.55 356 | 98.62 376 | 94.97 375 | 98.84 371 | 99.30 290 | 96.83 300 | 98.19 346 | 99.34 308 | 97.01 140 | 99.02 362 | 95.00 366 | 96.01 330 | 98.64 326 |
|
| Patchmtry | | | 97.75 276 | 97.40 291 | 98.81 242 | 99.10 305 | 98.87 183 | 99.11 324 | 99.33 272 | 94.83 378 | 98.81 287 | 99.38 295 | 94.33 253 | 99.02 362 | 96.10 339 | 95.57 346 | 98.53 352 |
|
| N_pmnet | | | 94.95 366 | 95.83 352 | 92.31 396 | 98.47 386 | 79.33 428 | 99.12 318 | 92.81 434 | 93.87 388 | 97.68 365 | 99.13 342 | 93.87 272 | 99.01 364 | 91.38 401 | 96.19 326 | 98.59 348 |
|
| CR-MVSNet | | | 98.17 206 | 97.93 223 | 98.87 230 | 99.18 284 | 98.49 225 | 99.22 301 | 99.33 272 | 96.96 289 | 99.56 130 | 99.38 295 | 94.33 253 | 99.00 365 | 94.83 369 | 98.58 223 | 99.14 243 |
|
| c3_l | | | 98.12 212 | 98.04 210 | 98.38 294 | 99.30 251 | 97.69 273 | 98.81 374 | 99.33 272 | 96.67 307 | 98.83 284 | 99.34 308 | 97.11 133 | 98.99 366 | 97.58 265 | 95.34 351 | 98.48 356 |
|
| test0.0.03 1 | | | 97.71 285 | 97.42 289 | 98.56 268 | 98.41 389 | 97.82 264 | 98.78 377 | 98.63 388 | 97.34 253 | 98.05 354 | 98.98 360 | 94.45 250 | 98.98 367 | 95.04 365 | 97.15 309 | 98.89 271 |
|
| PatchT | | | 97.03 331 | 96.44 337 | 98.79 245 | 98.99 326 | 98.34 235 | 99.16 309 | 99.07 329 | 92.13 403 | 99.52 139 | 97.31 413 | 94.54 246 | 98.98 367 | 88.54 411 | 98.73 216 | 99.03 259 |
|
| GBi-Net | | | 97.68 290 | 97.48 273 | 98.29 302 | 99.51 182 | 97.26 289 | 99.43 215 | 99.48 167 | 96.49 323 | 99.07 242 | 99.32 316 | 90.26 348 | 98.98 367 | 97.10 302 | 96.65 314 | 98.62 335 |
|
| test1 | | | 97.68 290 | 97.48 273 | 98.29 302 | 99.51 182 | 97.26 289 | 99.43 215 | 99.48 167 | 96.49 323 | 99.07 242 | 99.32 316 | 90.26 348 | 98.98 367 | 97.10 302 | 96.65 314 | 98.62 335 |
|
| FMVSNet3 | | | 98.03 226 | 97.76 244 | 98.84 237 | 99.39 228 | 98.98 163 | 99.40 233 | 99.38 244 | 96.67 307 | 99.07 242 | 99.28 323 | 92.93 289 | 98.98 367 | 97.10 302 | 96.65 314 | 98.56 351 |
|
| FMVSNet2 | | | 97.72 282 | 97.36 294 | 98.80 244 | 99.51 182 | 98.84 188 | 99.45 204 | 99.42 224 | 96.49 323 | 98.86 282 | 99.29 321 | 90.26 348 | 98.98 367 | 96.44 333 | 96.56 317 | 98.58 349 |
|
| FMVSNet1 | | | 96.84 335 | 96.36 339 | 98.29 302 | 99.32 249 | 97.26 289 | 99.43 215 | 99.48 167 | 95.11 370 | 98.55 324 | 99.32 316 | 83.95 405 | 98.98 367 | 95.81 346 | 96.26 325 | 98.62 335 |
|
| ppachtmachnet_test | | | 97.49 311 | 97.45 279 | 97.61 354 | 98.62 376 | 95.24 369 | 98.80 375 | 99.46 197 | 96.11 353 | 98.22 344 | 99.62 214 | 96.45 161 | 98.97 374 | 93.77 380 | 95.97 335 | 98.61 344 |
|
| TranMVSNet+NR-MVSNet | | | 97.93 241 | 97.66 254 | 98.76 248 | 98.78 355 | 98.62 209 | 99.65 81 | 99.49 155 | 97.76 203 | 98.49 328 | 99.60 221 | 94.23 256 | 98.97 374 | 98.00 227 | 92.90 389 | 98.70 298 |
|
| MVStest1 | | | 96.08 352 | 95.48 357 | 97.89 336 | 98.93 334 | 96.70 323 | 99.56 130 | 99.35 260 | 92.69 401 | 91.81 415 | 99.46 274 | 89.90 354 | 98.96 376 | 95.00 366 | 92.61 394 | 98.00 393 |
|
| test_method | | | 91.10 382 | 91.36 384 | 90.31 402 | 95.85 415 | 73.72 435 | 94.89 423 | 99.25 302 | 68.39 426 | 95.82 395 | 99.02 354 | 80.50 416 | 98.95 377 | 93.64 383 | 94.89 363 | 98.25 376 |
|
| ADS-MVSNet2 | | | 98.02 228 | 98.07 208 | 97.87 337 | 99.33 242 | 95.19 371 | 99.23 297 | 99.08 326 | 96.24 341 | 99.10 236 | 99.67 190 | 94.11 261 | 98.93 378 | 96.81 319 | 99.05 193 | 99.48 194 |
|
| ET-MVSNet_ETH3D | | | 96.49 342 | 95.64 356 | 99.05 196 | 99.53 173 | 98.82 192 | 98.84 371 | 97.51 411 | 97.63 218 | 84.77 420 | 99.21 335 | 92.09 317 | 98.91 379 | 98.98 104 | 92.21 396 | 99.41 215 |
|
| miper_lstm_enhance | | | 98.00 233 | 97.91 224 | 98.28 306 | 99.34 241 | 97.43 281 | 98.88 367 | 99.36 253 | 96.48 326 | 98.80 289 | 99.55 238 | 95.98 175 | 98.91 379 | 97.27 291 | 95.50 349 | 98.51 354 |
|
| MonoMVSNet | | | 98.38 188 | 98.47 176 | 98.12 318 | 98.59 381 | 96.19 346 | 99.72 52 | 98.79 370 | 97.89 185 | 99.44 155 | 99.52 251 | 96.13 170 | 98.90 381 | 98.64 157 | 97.54 284 | 99.28 232 |
|
| PEN-MVS | | | 97.76 272 | 97.44 284 | 98.72 251 | 98.77 360 | 98.54 216 | 99.78 32 | 99.51 125 | 97.06 281 | 98.29 340 | 99.64 203 | 92.63 303 | 98.89 382 | 98.09 216 | 93.16 387 | 98.72 291 |
|
| testing3 | | | 97.28 321 | 96.76 330 | 98.82 239 | 99.37 233 | 98.07 248 | 99.45 204 | 99.36 253 | 97.56 227 | 97.89 359 | 98.95 363 | 83.70 406 | 98.82 383 | 96.03 341 | 98.56 226 | 99.58 165 |
|
| testgi | | | 97.65 295 | 97.50 271 | 98.13 317 | 99.36 236 | 96.45 335 | 99.42 222 | 99.48 167 | 97.76 203 | 97.87 360 | 99.45 276 | 91.09 340 | 98.81 384 | 94.53 371 | 98.52 229 | 99.13 245 |
|
| testf1 | | | 90.42 385 | 90.68 386 | 89.65 405 | 97.78 397 | 73.97 433 | 99.13 315 | 98.81 367 | 89.62 411 | 91.80 416 | 98.93 365 | 62.23 425 | 98.80 385 | 86.61 419 | 91.17 399 | 96.19 416 |
|
| APD_test2 | | | 90.42 385 | 90.68 386 | 89.65 405 | 97.78 397 | 73.97 433 | 99.13 315 | 98.81 367 | 89.62 411 | 91.80 416 | 98.93 365 | 62.23 425 | 98.80 385 | 86.61 419 | 91.17 399 | 96.19 416 |
|
| MIMVSNet | | | 97.73 280 | 97.45 279 | 98.57 265 | 99.45 211 | 97.50 279 | 99.02 341 | 98.98 340 | 96.11 353 | 99.41 164 | 99.14 341 | 90.28 347 | 98.74 387 | 95.74 348 | 98.93 201 | 99.47 200 |
|
| LCM-MVSNet-Re | | | 97.83 261 | 98.15 195 | 96.87 375 | 99.30 251 | 92.25 405 | 99.59 109 | 98.26 396 | 97.43 245 | 96.20 391 | 99.13 342 | 96.27 167 | 98.73 388 | 98.17 212 | 98.99 198 | 99.64 145 |
|
| Syy-MVS | | | 97.09 330 | 97.14 316 | 96.95 372 | 99.00 323 | 92.73 403 | 99.29 271 | 99.39 236 | 97.06 281 | 97.41 369 | 98.15 399 | 93.92 270 | 98.68 389 | 91.71 399 | 98.34 236 | 99.45 208 |
|
| myMVS_eth3d | | | 96.89 333 | 96.37 338 | 98.43 289 | 99.00 323 | 97.16 293 | 99.29 271 | 99.39 236 | 97.06 281 | 97.41 369 | 98.15 399 | 83.46 407 | 98.68 389 | 95.27 361 | 98.34 236 | 99.45 208 |
|
| DTE-MVSNet | | | 97.51 305 | 97.19 314 | 98.46 282 | 98.63 375 | 98.13 245 | 99.84 12 | 99.48 167 | 96.68 306 | 97.97 357 | 99.67 190 | 92.92 290 | 98.56 391 | 96.88 318 | 92.60 395 | 98.70 298 |
|
| PC_three_1452 | | | | | | | | | | 98.18 146 | 99.84 40 | 99.70 167 | 99.31 3 | 98.52 392 | 98.30 203 | 99.80 107 | 99.81 67 |
|
| mvsany_test3 | | | 93.77 374 | 93.45 378 | 94.74 387 | 95.78 416 | 88.01 413 | 99.64 84 | 98.25 397 | 98.28 129 | 94.31 404 | 97.97 406 | 68.89 421 | 98.51 393 | 97.50 275 | 90.37 404 | 97.71 401 |
|
| UnsupCasMVSNet_bld | | | 93.53 375 | 92.51 381 | 96.58 380 | 97.38 403 | 93.82 391 | 98.24 410 | 99.48 167 | 91.10 408 | 93.10 409 | 96.66 415 | 74.89 419 | 98.37 394 | 94.03 379 | 87.71 412 | 97.56 406 |
|
| Anonymous20240521 | | | 96.20 348 | 95.89 351 | 97.13 366 | 97.72 400 | 94.96 376 | 99.79 31 | 99.29 294 | 93.01 397 | 97.20 377 | 99.03 352 | 89.69 357 | 98.36 395 | 91.16 402 | 96.13 327 | 98.07 386 |
|
| test_f | | | 91.90 381 | 91.26 385 | 93.84 390 | 95.52 420 | 85.92 415 | 99.69 60 | 98.53 393 | 95.31 367 | 93.87 406 | 96.37 417 | 55.33 428 | 98.27 396 | 95.70 349 | 90.98 402 | 97.32 409 |
|
| MDA-MVSNet_test_wron | | | 95.45 359 | 94.60 366 | 98.01 324 | 98.16 392 | 97.21 292 | 99.11 324 | 99.24 305 | 93.49 393 | 80.73 426 | 98.98 360 | 93.02 287 | 98.18 397 | 94.22 377 | 94.45 368 | 98.64 326 |
|
| UnsupCasMVSNet_eth | | | 96.44 343 | 96.12 344 | 97.40 360 | 98.65 373 | 95.65 355 | 99.36 249 | 99.51 125 | 97.13 271 | 96.04 394 | 98.99 358 | 88.40 374 | 98.17 398 | 96.71 323 | 90.27 405 | 98.40 367 |
|
| KD-MVS_2432*1600 | | | 94.62 367 | 93.72 375 | 97.31 361 | 97.19 409 | 95.82 352 | 98.34 405 | 99.20 312 | 95.00 374 | 97.57 366 | 98.35 392 | 87.95 379 | 98.10 399 | 92.87 393 | 77.00 424 | 98.01 390 |
|
| miper_refine_blended | | | 94.62 367 | 93.72 375 | 97.31 361 | 97.19 409 | 95.82 352 | 98.34 405 | 99.20 312 | 95.00 374 | 97.57 366 | 98.35 392 | 87.95 379 | 98.10 399 | 92.87 393 | 77.00 424 | 98.01 390 |
|
| YYNet1 | | | 95.36 361 | 94.51 368 | 97.92 333 | 97.89 395 | 97.10 296 | 99.10 326 | 99.23 306 | 93.26 396 | 80.77 425 | 99.04 351 | 92.81 293 | 98.02 401 | 94.30 373 | 94.18 373 | 98.64 326 |
|
| EU-MVSNet | | | 97.98 235 | 98.03 211 | 97.81 344 | 98.72 366 | 96.65 328 | 99.66 75 | 99.66 28 | 98.09 159 | 98.35 335 | 99.82 86 | 95.25 206 | 98.01 402 | 97.41 284 | 95.30 352 | 98.78 277 |
|
| Gipuma |  | | 90.99 383 | 90.15 388 | 93.51 391 | 98.73 364 | 90.12 411 | 93.98 424 | 99.45 208 | 79.32 422 | 92.28 412 | 94.91 419 | 69.61 420 | 97.98 403 | 87.42 415 | 95.67 342 | 92.45 422 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| pmmvs-eth3d | | | 95.34 362 | 94.73 365 | 97.15 364 | 95.53 419 | 95.94 350 | 99.35 254 | 99.10 323 | 95.13 368 | 93.55 407 | 97.54 408 | 88.15 378 | 97.91 404 | 94.58 370 | 89.69 408 | 97.61 404 |
|
| PM-MVS | | | 92.96 378 | 92.23 382 | 95.14 386 | 95.61 417 | 89.98 412 | 99.37 244 | 98.21 399 | 94.80 379 | 95.04 402 | 97.69 407 | 65.06 422 | 97.90 405 | 94.30 373 | 89.98 407 | 97.54 407 |
|
| MDA-MVSNet-bldmvs | | | 94.96 365 | 93.98 372 | 97.92 333 | 98.24 391 | 97.27 287 | 99.15 312 | 99.33 272 | 93.80 389 | 80.09 427 | 99.03 352 | 88.31 375 | 97.86 406 | 93.49 385 | 94.36 370 | 98.62 335 |
|
| Patchmatch-RL test | | | 95.84 355 | 95.81 353 | 95.95 384 | 95.61 417 | 90.57 410 | 98.24 410 | 98.39 394 | 95.10 372 | 95.20 399 | 98.67 380 | 94.78 226 | 97.77 407 | 96.28 338 | 90.02 406 | 99.51 188 |
|
| Anonymous20231206 | | | 96.22 346 | 96.03 347 | 96.79 377 | 97.31 406 | 94.14 389 | 99.63 90 | 99.08 326 | 96.17 347 | 97.04 381 | 99.06 349 | 93.94 268 | 97.76 408 | 86.96 417 | 95.06 357 | 98.47 358 |
|
| SD-MVS | | | 99.41 52 | 99.52 12 | 99.05 196 | 99.74 88 | 99.68 55 | 99.46 202 | 99.52 111 | 99.11 35 | 99.88 29 | 99.91 23 | 99.43 1 | 97.70 409 | 98.72 146 | 99.93 27 | 99.77 88 |
| 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 |
| DSMNet-mixed | | | 97.25 323 | 97.35 296 | 96.95 372 | 97.84 396 | 93.61 397 | 99.57 124 | 96.63 419 | 96.13 352 | 98.87 278 | 98.61 383 | 94.59 241 | 97.70 409 | 95.08 364 | 98.86 207 | 99.55 171 |
|
| dongtai | | | 93.26 376 | 92.93 380 | 94.25 388 | 99.39 228 | 85.68 416 | 97.68 419 | 93.27 430 | 92.87 399 | 96.85 385 | 99.39 293 | 82.33 412 | 97.48 411 | 76.78 424 | 97.80 269 | 99.58 165 |
|
| pmmvs3 | | | 94.09 373 | 93.25 379 | 96.60 379 | 94.76 424 | 94.49 383 | 98.92 363 | 98.18 401 | 89.66 410 | 96.48 388 | 98.06 405 | 86.28 391 | 97.33 412 | 89.68 407 | 87.20 413 | 97.97 396 |
|
| KD-MVS_self_test | | | 95.00 364 | 94.34 369 | 96.96 371 | 97.07 411 | 95.39 366 | 99.56 130 | 99.44 216 | 95.11 370 | 97.13 379 | 97.32 412 | 91.86 322 | 97.27 413 | 90.35 405 | 81.23 421 | 98.23 378 |
|
| FMVSNet5 | | | 96.43 344 | 96.19 343 | 97.15 364 | 99.11 302 | 95.89 351 | 99.32 261 | 99.52 111 | 94.47 385 | 98.34 336 | 99.07 347 | 87.54 384 | 97.07 414 | 92.61 396 | 95.72 341 | 98.47 358 |
|
| new-patchmatchnet | | | 94.48 370 | 94.08 371 | 95.67 385 | 95.08 422 | 92.41 404 | 99.18 307 | 99.28 296 | 94.55 384 | 93.49 408 | 97.37 411 | 87.86 382 | 97.01 415 | 91.57 400 | 88.36 410 | 97.61 404 |
|
| LCM-MVSNet | | | 86.80 389 | 85.22 393 | 91.53 399 | 87.81 431 | 80.96 425 | 98.23 412 | 98.99 339 | 71.05 424 | 90.13 419 | 96.51 416 | 48.45 432 | 96.88 416 | 90.51 403 | 85.30 415 | 96.76 411 |
|
| CL-MVSNet_self_test | | | 94.49 369 | 93.97 373 | 96.08 383 | 96.16 414 | 93.67 396 | 98.33 407 | 99.38 244 | 95.13 368 | 97.33 373 | 98.15 399 | 92.69 301 | 96.57 417 | 88.67 410 | 79.87 422 | 97.99 394 |
|
| MIMVSNet1 | | | 95.51 358 | 95.04 363 | 96.92 374 | 97.38 403 | 95.60 356 | 99.52 159 | 99.50 145 | 93.65 391 | 96.97 383 | 99.17 337 | 85.28 399 | 96.56 418 | 88.36 412 | 95.55 347 | 98.60 347 |
|
| test20.03 | | | 96.12 350 | 95.96 349 | 96.63 378 | 97.44 402 | 95.45 363 | 99.51 168 | 99.38 244 | 96.55 320 | 96.16 392 | 99.25 329 | 93.76 277 | 96.17 419 | 87.35 416 | 94.22 372 | 98.27 374 |
|
| tmp_tt | | | 82.80 391 | 81.52 394 | 86.66 407 | 66.61 437 | 68.44 436 | 92.79 426 | 97.92 403 | 68.96 425 | 80.04 428 | 99.85 62 | 85.77 393 | 96.15 420 | 97.86 237 | 43.89 430 | 95.39 420 |
|
| test_fmvs3 | | | 92.10 380 | 91.77 383 | 93.08 394 | 96.19 413 | 86.25 414 | 99.82 16 | 98.62 389 | 96.65 309 | 95.19 400 | 96.90 414 | 55.05 429 | 95.93 421 | 96.63 330 | 90.92 403 | 97.06 410 |
|
| kuosan | | | 90.92 384 | 90.11 389 | 93.34 392 | 98.78 355 | 85.59 417 | 98.15 414 | 93.16 432 | 89.37 413 | 92.07 413 | 98.38 391 | 81.48 415 | 95.19 422 | 62.54 431 | 97.04 310 | 99.25 237 |
|
| dmvs_testset | | | 95.02 363 | 96.12 344 | 91.72 398 | 99.10 305 | 80.43 426 | 99.58 117 | 97.87 405 | 97.47 237 | 95.22 398 | 98.82 372 | 93.99 266 | 95.18 423 | 88.09 413 | 94.91 362 | 99.56 170 |
|
| PMMVS2 | | | 86.87 388 | 85.37 392 | 91.35 400 | 90.21 429 | 83.80 419 | 98.89 366 | 97.45 412 | 83.13 421 | 91.67 418 | 95.03 418 | 48.49 431 | 94.70 424 | 85.86 421 | 77.62 423 | 95.54 419 |
|
| PMVS |  | 70.75 22 | 75.98 397 | 74.97 398 | 79.01 413 | 70.98 436 | 55.18 438 | 93.37 425 | 98.21 399 | 65.08 430 | 61.78 431 | 93.83 421 | 21.74 438 | 92.53 425 | 78.59 423 | 91.12 401 | 89.34 426 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| FPMVS | | | 84.93 390 | 85.65 391 | 82.75 411 | 86.77 432 | 63.39 437 | 98.35 404 | 98.92 348 | 74.11 423 | 83.39 422 | 98.98 360 | 50.85 430 | 92.40 426 | 84.54 422 | 94.97 359 | 92.46 421 |
|
| WB-MVS | | | 93.10 377 | 94.10 370 | 90.12 403 | 95.51 421 | 81.88 423 | 99.73 50 | 99.27 299 | 95.05 373 | 93.09 410 | 98.91 369 | 94.70 235 | 91.89 427 | 76.62 425 | 94.02 378 | 96.58 413 |
|
| SSC-MVS | | | 92.73 379 | 93.73 374 | 89.72 404 | 95.02 423 | 81.38 424 | 99.76 37 | 99.23 306 | 94.87 377 | 92.80 411 | 98.93 365 | 94.71 234 | 91.37 428 | 74.49 427 | 93.80 380 | 96.42 414 |
|
| MVE |  | 76.82 21 | 76.91 396 | 74.31 400 | 84.70 408 | 85.38 434 | 76.05 432 | 96.88 422 | 93.17 431 | 67.39 427 | 71.28 429 | 89.01 428 | 21.66 439 | 87.69 429 | 71.74 428 | 72.29 426 | 90.35 425 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| E-PMN | | | 80.61 393 | 79.88 395 | 82.81 410 | 90.75 428 | 76.38 431 | 97.69 418 | 95.76 423 | 66.44 428 | 83.52 421 | 92.25 423 | 62.54 424 | 87.16 430 | 68.53 429 | 61.40 427 | 84.89 428 |
|
| EMVS | | | 80.02 394 | 79.22 396 | 82.43 412 | 91.19 427 | 76.40 430 | 97.55 421 | 92.49 435 | 66.36 429 | 83.01 423 | 91.27 425 | 64.63 423 | 85.79 431 | 65.82 430 | 60.65 428 | 85.08 427 |
|
| ANet_high | | | 77.30 395 | 74.86 399 | 84.62 409 | 75.88 435 | 77.61 429 | 97.63 420 | 93.15 433 | 88.81 415 | 64.27 430 | 89.29 427 | 36.51 434 | 83.93 432 | 75.89 426 | 52.31 429 | 92.33 423 |
|
| wuyk23d | | | 40.18 398 | 41.29 403 | 36.84 414 | 86.18 433 | 49.12 439 | 79.73 427 | 22.81 439 | 27.64 431 | 25.46 434 | 28.45 434 | 21.98 437 | 48.89 433 | 55.80 432 | 23.56 433 | 12.51 431 |
|
| test123 | | | 39.01 400 | 42.50 402 | 28.53 415 | 39.17 438 | 20.91 440 | 98.75 380 | 19.17 440 | 19.83 433 | 38.57 432 | 66.67 430 | 33.16 435 | 15.42 434 | 37.50 434 | 29.66 432 | 49.26 429 |
|
| testmvs | | | 39.17 399 | 43.78 401 | 25.37 416 | 36.04 439 | 16.84 441 | 98.36 403 | 26.56 438 | 20.06 432 | 38.51 433 | 67.32 429 | 29.64 436 | 15.30 435 | 37.59 433 | 39.90 431 | 43.98 430 |
|
| mmdepth | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| monomultidepth | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| test_blank | | | 0.13 404 | 0.17 407 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 1.57 435 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| uanet_test | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| DCPMVS | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| cdsmvs_eth3d_5k | | | 24.64 401 | 32.85 404 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 99.51 125 | 0.00 435 | 0.00 436 | 99.56 235 | 96.58 154 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| pcd_1.5k_mvsjas | | | 8.27 403 | 11.03 406 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 99.01 18 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| sosnet-low-res | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| sosnet | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| uncertanet | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| Regformer | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| ab-mvs-re | | | 8.30 402 | 11.06 405 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 99.58 227 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| uanet | | | 0.02 405 | 0.03 408 | 0.00 417 | 0.00 440 | 0.00 442 | 0.00 428 | 0.00 441 | 0.00 435 | 0.00 436 | 0.27 436 | 0.00 440 | 0.00 436 | 0.00 435 | 0.00 434 | 0.00 432 |
|
| WAC-MVS | | | | | | | 97.16 293 | | | | | | | | 95.47 355 | | |
|
| FOURS1 | | | | | | 99.91 1 | 99.93 1 | 99.87 8 | 99.56 76 | 99.10 36 | 99.81 48 | | | | | | |
|
| test_one_0601 | | | | | | 99.81 47 | 99.88 8 | | 99.49 155 | 98.97 60 | 99.65 104 | 99.81 100 | 99.09 14 | | | | |
|
| eth-test2 | | | | | | 0.00 440 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 440 | | | | | | | | | | | |
|
| RE-MVS-def | | | | 99.34 43 | | 99.76 70 | 99.82 25 | 99.63 90 | 99.52 111 | 98.38 117 | 99.76 69 | 99.82 86 | 98.75 58 | | 98.61 163 | 99.81 103 | 99.77 88 |
|
| IU-MVS | | | | | | 99.84 32 | 99.88 8 | | 99.32 282 | 98.30 128 | 99.84 40 | | | | 98.86 126 | 99.85 79 | 99.89 22 |
|
| save fliter | | | | | | 99.76 70 | 99.59 77 | 99.14 314 | 99.40 233 | 99.00 52 | | | | | | | |
|
| test0726 | | | | | | 99.85 26 | 99.89 4 | 99.62 95 | 99.50 145 | 99.10 36 | 99.86 38 | 99.82 86 | 98.94 32 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 99.52 180 |
|
| test_part2 | | | | | | 99.81 47 | 99.83 19 | | | | 99.77 63 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 94.86 221 | | | | 99.52 180 |
|
| sam_mvs | | | | | | | | | | | | | 94.72 233 | | | | |
|
| MTGPA |  | | | | | | | | 99.47 188 | | | | | | | | |
|
| MTMP | | | | | | | | 99.54 149 | 98.88 358 | | | | | | | | |
|
| test9_res | | | | | | | | | | | | | | | 97.49 276 | 99.72 130 | 99.75 94 |
|
| agg_prior2 | | | | | | | | | | | | | | | 97.21 294 | 99.73 129 | 99.75 94 |
|
| test_prior4 | | | | | | | 99.56 83 | 98.99 349 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 98.96 356 | | 98.34 123 | 99.01 253 | 99.52 251 | 98.68 67 | | 97.96 229 | 99.74 127 | |
|
| æ–°å‡ ä½•2 | | | | | | | | 99.01 346 | | | | | | | | | |
|
| 旧先验1 | | | | | | 99.74 88 | 99.59 77 | | 99.54 93 | | | 99.69 177 | 98.47 83 | | | 99.68 138 | 99.73 103 |
|
| 原ACMM2 | | | | | | | | 98.95 359 | | | | | | | | | |
|
| test222 | | | | | | 99.75 80 | 99.49 97 | 98.91 365 | 99.49 155 | 96.42 331 | 99.34 184 | 99.65 197 | 98.28 96 | | | 99.69 135 | 99.72 111 |
|
| segment_acmp | | | | | | | | | | | | | 98.96 25 | | | | |
|
| testdata1 | | | | | | | | 98.85 370 | | 98.32 126 | | | | | | | |
|
| plane_prior7 | | | | | | 99.29 255 | 97.03 306 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 99.27 260 | 96.98 310 | | | | | | 92.71 299 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 99.61 218 | | | | | |
|
| plane_prior3 | | | | | | | 97.00 308 | | | 98.69 89 | 99.11 233 | | | | | | |
|
| plane_prior2 | | | | | | | | 99.39 237 | | 98.97 60 | | | | | | | |
|
| plane_prior1 | | | | | | 99.26 263 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 96.97 311 | 99.21 303 | | 98.45 110 | | | | | | 97.60 278 | |
|
| n2 | | | | | | | | | 0.00 441 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 441 | | | | | | | | |
|
| door-mid | | | | | | | | | 98.05 402 | | | | | | | | |
|
| test11 | | | | | | | | | 99.35 260 | | | | | | | | |
|
| door | | | | | | | | | 97.92 403 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 96.83 318 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 99.19 281 | | 98.98 352 | | 98.24 135 | 98.66 307 | | | | | | |
|
| ACMP_Plane | | | | | | 99.19 281 | | 98.98 352 | | 98.24 135 | 98.66 307 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 97.19 298 | | |
|
| HQP3-MVS | | | | | | | | | 99.39 236 | | | | | | | 97.58 280 | |
|
| HQP2-MVS | | | | | | | | | | | | | 92.47 308 | | | | |
|
| NP-MVS | | | | | | 99.23 271 | 96.92 314 | | | | | 99.40 289 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 95.18 372 | 99.35 254 | | 96.84 298 | 99.58 126 | | 95.19 208 | | 97.82 242 | | 99.46 205 |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 307 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 97.43 298 | |
|
| Test By Simon | | | | | | | | | | | | | 98.75 58 | | | | |
|